From 1e59cd9e3561be8df396619fcf3e6f87a89a5e57 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Fri, 17 Jul 2026 14:14:54 -0400
Subject: [PATCH 001/223] fix(utils): honor string drop_params values from
 config and DB deployments

---
 litellm/litellm_core_utils/core_helpers.py    | 12 +++++++
 litellm/types/router.py                       |  7 ++++
 litellm/utils.py                              |  9 +++--
 .../litellm_core_utils/test_core_helpers.py   | 22 ++++++++++++
 tests/test_litellm/test_router.py             | 34 +++++++++++++++++++
 tests/test_litellm/test_utils.py              | 28 +++++++++++++++
 ui/litellm-dashboard/src/lib/http/schema.d.ts |  4 +++
 7 files changed, 113 insertions(+), 3 deletions(-)

diff --git a/litellm/litellm_core_utils/core_helpers.py b/litellm/litellm_core_utils/core_helpers.py
index 002a46771e3..838019264c9 100644
--- a/litellm/litellm_core_utils/core_helpers.py
+++ b/litellm/litellm_core_utils/core_helpers.py
@@ -36,6 +36,18 @@ def safe_divide_seconds(seconds: float, denominator: float, default: Optional[fl
     return float(seconds / denominator)
 
 
+def normalize_drop_params(value: object) -> bool | None:
+    if isinstance(value, bool):
+        return value
+    if isinstance(value, str):
+        lowered = value.strip().lower()
+        if lowered == "true":
+            return True
+        if lowered == "false":
+            return False
+    return None
+
+
 def safe_divide(
     numerator: Union[int, float],
     denominator: Union[int, float],
diff --git a/litellm/types/router.py b/litellm/types/router.py
index 28e4a8272e8..77d1815d28d 100644
--- a/litellm/types/router.py
+++ b/litellm/types/router.py
@@ -23,6 +23,7 @@ from pydantic import BaseModel, ConfigDict, Field, field_validator, model_valida
 from typing_extensions import Protocol, Required, TypedDict, runtime_checkable
 
 from litellm._uuid import uuid
+from litellm.litellm_core_utils.core_helpers import normalize_drop_params
 
 from .completion import CompletionRequest
 from .embedding import EmbeddingRequest
@@ -233,6 +234,7 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams):
         None  # timeout when making stream=True calls, if str, pass in as os.environ/
     )
     max_retries: Optional[int] = None
+    drop_params: Optional[bool] = None
     organization: Optional[str] = None  # for openai orgs
     configurable_clientside_auth_params: CONFIGURABLE_CLIENTSIDE_AUTH_PARAMS = None
     litellm_credential_name: Optional[str] = None
@@ -311,6 +313,11 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams):
             return filtered
         return data
 
+    @field_validator("drop_params", mode="before")
+    @classmethod
+    def coerce_drop_params(cls, value: object) -> Optional[bool]:
+        return normalize_drop_params(value)
+
     def __contains__(self, key):
         # Define custom behavior for the 'in' operator
         return hasattr(self, key)
diff --git a/litellm/utils.py b/litellm/utils.py
index e19d2b36a52..e10b63ceb37 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -60,6 +60,7 @@ from litellm._lazy_imports import (
     _get_token_counter_new,
 )
 from litellm._uuid import uuid
+from litellm.litellm_core_utils.core_helpers import normalize_drop_params
 from litellm.litellm_core_utils.fallback_generalizations import (
     match_capability_generalizations,
 )
@@ -2852,7 +2853,7 @@ def get_optional_params_transcription(
 
     passed_params.pop("OPENAI_TRANSCRIPTION_PARAMS")
     custom_llm_provider = passed_params.pop("custom_llm_provider")
-    drop_params = passed_params.pop("drop_params")
+    drop_params = normalize_drop_params(passed_params.pop("drop_params"))
     special_params = passed_params.pop("kwargs")
     for k, v in special_params.items():
         passed_params[k] = v
@@ -2960,7 +2961,7 @@ def get_optional_params_image_gen(
     model = passed_params.pop("model", None)
     custom_llm_provider = passed_params.pop("custom_llm_provider")
     provider_config = passed_params.pop("provider_config", None)
-    drop_params = passed_params.pop("drop_params", None)
+    drop_params = normalize_drop_params(passed_params.pop("drop_params", None))
     additional_drop_params = passed_params.pop("additional_drop_params", None)
     special_params = passed_params.pop("kwargs")
     for k, v in special_params.items():
@@ -3084,7 +3085,7 @@ def get_optional_params_embeddings(
     custom_llm_provider = passed_params.pop("custom_llm_provider", None)
     special_params = passed_params.pop("kwargs")
 
-    drop_params = passed_params.pop("drop_params", None)
+    drop_params = normalize_drop_params(passed_params.pop("drop_params", None))
     additional_drop_params = passed_params.pop("additional_drop_params", None)
     allowed_openai_params = passed_params.pop("allowed_openai_params", None) or []
     # Remove function objects from passed_params to avoid JSON serialization errors
@@ -3797,6 +3798,8 @@ def get_optional_params(
 ):
     passed_params = locals().copy()
     special_params = passed_params.pop("kwargs")
+    drop_params = normalize_drop_params(drop_params)
+    passed_params["drop_params"] = drop_params
     # Remove base_model from passed_params so it doesn't interfere with
     # non_default_params / _check_valid_arg — it's a routing hint, not an
     # OpenAI param.
diff --git a/tests/test_litellm/litellm_core_utils/test_core_helpers.py b/tests/test_litellm/litellm_core_utils/test_core_helpers.py
index b67ea91bb0b..a7f93e3c997 100644
--- a/tests/test_litellm/litellm_core_utils/test_core_helpers.py
+++ b/tests/test_litellm/litellm_core_utils/test_core_helpers.py
@@ -5,6 +5,7 @@ import pytest
 from litellm.litellm_core_utils.core_helpers import (
     _FINISH_REASON_MAP,
     map_finish_reason,
+    normalize_drop_params,
     reconstruct_model_name,
     redact_nested_match_and_regex_keys,
 )
@@ -201,3 +202,24 @@ class TestRedactNestedMatchAndRegexKeys:
     def test_passes_through_none_and_str(self):
         assert redact_nested_match_and_regex_keys(None) is None
         assert redact_nested_match_and_regex_keys("plain") == "plain"
+
+
+@pytest.mark.parametrize(
+    "value, expected",
+    [
+        (True, True),
+        (False, False),
+        ("true", True),
+        ("True", True),
+        (" TRUE ", True),
+        ("false", False),
+        ("False", False),
+        (None, None),
+        ("yes", None),
+        ("", None),
+        (1, None),
+        (0, None),
+    ],
+)
+def test_normalize_drop_params(value, expected):
+    assert normalize_drop_params(value) is expected
diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py
index c2c98c8869c..81927d7e959 100644
--- a/tests/test_litellm/test_router.py
+++ b/tests/test_litellm/test_router.py
@@ -5430,3 +5430,37 @@ class TestRouterRequestTimeoutPropagation:
             )
             == 60
         )
+
+
+@pytest.mark.asyncio
+async def test_router_deployment_drop_params_string_true_is_honored(monkeypatch):
+    from litellm import Router
+
+    monkeypatch.setattr(litellm, "drop_params", False)
+    router = Router(
+        model_list=[
+            {
+                "model_name": "gpt-5-nano",
+                "litellm_params": {
+                    "model": "openai/gpt-5-nano",
+                    "api_key": "sk-fake",
+                    "temperature": 1,
+                    "reasoning_effort": "minimal",
+                    "drop_params": "true",
+                    "mock_response": "Hello, world!",
+                },
+            }
+        ],
+        num_retries=0,
+    )
+
+    deployment = router.get_deployment_by_model_group_name(model_group_name="gpt-5-nano")
+    assert deployment is not None
+    assert deployment.litellm_params.drop_params is True
+
+    response = await router.acompletion(
+        model="gpt-5-nano",
+        messages=[{"role": "user", "content": "hi"}],
+        temperature=0.1,
+    )
+    assert response.choices[0].message.content == "Hello, world!"
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index 073ff17991e..0fbf9c0db20 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -4814,3 +4814,31 @@ def test_is_prompt_caching_valid_prompt_explicit_min_token_count_overrides_model
         is_prompt_caching_valid_prompt(model="claude-opus-4-8", messages=PROMPT_CACHE_MESSAGES, min_token_count=8192)
         is False
     )
+
+
+class TestDropParamsStringCoercion:
+    @pytest.mark.parametrize("drop_params", ["true", "True", True])
+    def test_truthy_drop_params_drops_unsupported_temperature(self, drop_params, monkeypatch):
+        from litellm.utils import get_optional_params
+
+        monkeypatch.setattr(litellm, "drop_params", False)
+        result = get_optional_params(
+            model="gpt-5-nano",
+            custom_llm_provider="openai",
+            temperature=0.1,
+            drop_params=drop_params,
+        )
+        assert "temperature" not in result
+
+    @pytest.mark.parametrize("drop_params", ["false", False, None])
+    def test_falsy_drop_params_still_raises(self, drop_params, monkeypatch):
+        from litellm.utils import get_optional_params
+
+        monkeypatch.setattr(litellm, "drop_params", False)
+        with pytest.raises(litellm.UnsupportedParamsError):
+            get_optional_params(
+                model="gpt-5-nano",
+                custom_llm_provider="openai",
+                temperature=0.1,
+                drop_params=drop_params,
+            )
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 0d8f55164f9..62103e4f742 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -25667,6 +25667,8 @@ export interface components {
             default_api_key_rpm_limit?: number | null;
             /** Default Api Key Tpm Limit */
             default_api_key_tpm_limit?: number | null;
+            /** Drop Params */
+            drop_params?: boolean | null;
             /** Gcs Bucket Name */
             gcs_bucket_name?: string | null;
             /** Input Cost Per Audio Per Second */
@@ -33503,6 +33505,8 @@ export interface components {
             default_api_key_rpm_limit?: number | null;
             /** Default Api Key Tpm Limit */
             default_api_key_tpm_limit?: number | null;
+            /** Drop Params */
+            drop_params?: boolean | null;
             /** Gcs Bucket Name */
             gcs_bucket_name?: string | null;
             /** Input Cost Per Audio Per Second */

From 3831e66d2bcd4e458ba4a5dd6cfa5095636e4c7f Mon Sep 17 00:00:00 2001
From: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Thu, 13 Aug 2026 01:32:13 +0000
Subject: [PATCH 002/223] fix(budget_reservation): don't reserve budget on
 token counting routes

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../spend_tracking/budget_reservation.py      | 12 ++++-
 .../proxy/test_budget_reservation.py          | 47 +++++++++++++++++++
 2 files changed, 58 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/spend_tracking/budget_reservation.py b/litellm/proxy/spend_tracking/budget_reservation.py
index 58a85171cc7..7b62fd44d09 100644
--- a/litellm/proxy/spend_tracking/budget_reservation.py
+++ b/litellm/proxy/spend_tracking/budget_reservation.py
@@ -144,6 +144,16 @@ async def _apply_over_budget_reservation_policy(
     )
 
 
+_UNBILLED_ROUTES: Final[frozenset[str]] = frozenset({"/models", "/v1/models", "/utils/token_counter"})
+_UNBILLED_ROUTE_SUFFIXES: Final[tuple[str, ...]] = ("/v1/messages/count_tokens", ":countTokens")
+
+
+def _is_unbilled_route(route: str) -> bool:
+    """Routes that never emit a cost-tracking callback. Reserving budget for them
+    is a permanent leak: nothing ever reconciles or releases the reservation."""
+    return route in _UNBILLED_ROUTES or route.endswith(_UNBILLED_ROUTE_SUFFIXES)
+
+
 async def reserve_budget_for_request(
     request_body: dict,
     route: str,
@@ -161,7 +171,7 @@ async def reserve_budget_for_request(
 ) -> dict | None:
     if valid_token is None or not RouteChecks.is_llm_api_route(route=route):
         return None
-    if route in {"/models", "/v1/models", "/utils/token_counter"}:
+    if _is_unbilled_route(route):
         return None
     if get_model_from_request(request_body, route, llm_router=llm_router) is None:
         return None
diff --git a/tests/test_litellm/proxy/test_budget_reservation.py b/tests/test_litellm/proxy/test_budget_reservation.py
index 34adb4d2091..7bdc73abf32 100644
--- a/tests/test_litellm/proxy/test_budget_reservation.py
+++ b/tests/test_litellm/proxy/test_budget_reservation.py
@@ -2583,3 +2583,50 @@ async def test_streaming_slow_path_processes_and_yields_chunk(spend_counter_stat
 
     assert received == [{"content": "hi"}]
     streaming_logging_obj.async_post_call_streaming_hook.assert_awaited_once()
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "route",
+    [
+        "/v1/messages/count_tokens",
+        "/anthropic/v1/messages/count_tokens",
+        "/v1beta/models/gemini-2.5-pro:countTokens",
+        "/models/gemini-2.5-pro:countTokens",
+    ],
+)
+async def test_token_counting_routes_never_reserve_budget(spend_counter_state, route):
+    """Token counting is free and never fires a cost callback, so a reservation
+    there is never reconciled and permanently bricks the key's spend counter."""
+    counter_cache, key_cache = spend_counter_state
+    proxy_logging_obj = ProxyLogging(user_api_key_cache=key_cache)
+    valid_token = UserAPIKeyAuth(
+        token="key-count-tokens",
+        spend=0.0,
+        max_budget=0.01,
+    )
+
+    with patch(
+        "litellm.proxy.spend_tracking.budget_reservation.estimate_request_max_cost",
+        return_value=0.01,
+    ):
+        for _ in range(2):
+            assert (
+                await reserve_budget_for_request(
+                    request_body=_request_body(),
+                    route=route,
+                    llm_router=None,
+                    valid_token=valid_token,
+                    team_object=None,
+                    user_object=None,
+                    prisma_client=None,
+                    user_api_key_cache=key_cache,
+                    proxy_logging_obj=proxy_logging_obj,
+                )
+                is None
+            )
+
+    assert counter_cache.in_memory_cache.get_cache(key="spend:key:key-count-tokens") is None
+
+    # a real completion on the same key is still budget enforced
+    assert await _reserve(valid_token, 0.01, key_cache, proxy_logging_obj) is not None

From f01309c5afaf576e15170699d94185bd01b4835c Mon Sep 17 00:00:00 2001
From: ZXT-zjbiliy <3240102335@zju.edu.cn>
Date: Fri, 21 Aug 2026 13:56:30 +0800
Subject: [PATCH 003/223] fix(stream_chunk_builder): guard empty choices and
 missing role in build_base_response

build_base_response() read the assistant role via
first_chunk_with_choices["choices"][0]["delta"]["role"] with no bounds or key
check, causing two failures:

- IndexError when no chunk carries a non-empty "choices" array, because
  next() fell back to the first chunk whose "choices" may be []
- KeyError when the first choice's "delta" omits "role" or is {}

Both surface as "litellm.APIError: Error building chunks for logging/streaming
usage calculation". async_data_generator() writes that into the response
stream, so the client's answer is truncated mid-stream with no data: [DONE],
and the request never reaches SpendLogs. Observed in production on Anthropic
streaming.

Fall back to None, guard the array length, and default the role to
"assistant". The loop directly below already guards with
len(chunk["choices"]) > 0.
---
 .../streaming_chunk_builder_utils.py          |  11 +-
 .../test_streaming_chunk_builder_utils.py     | 103 ++++++++++++++++++
 2 files changed, 112 insertions(+), 2 deletions(-)

diff --git a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
index ee0518c4aec..59096cfaff7 100644
--- a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
+++ b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
@@ -302,8 +302,15 @@ class ChunkProcessor:
         model: Final = ChunkProcessor._get_model_from_chunks(chunks, first_chunk_model)
         system_fingerprint: Final = chunk.get("system_fingerprint", None)
 
-        first_chunk_with_choices: Final = next((c for c in chunks if c.get("choices")), chunk)
-        role: Final = first_chunk_with_choices["choices"][0]["delta"]["role"]
+        # Fall back to None rather than `chunk`: if no chunk carries a non-empty
+        # `choices` array, indexing [0] on the first chunk raises IndexError.
+        first_chunk_with_choices = next((c for c in chunks if c.get("choices")), None)
+        role: str = "assistant"
+        if first_chunk_with_choices is not None:
+            _choices = first_chunk_with_choices["choices"]
+            if len(_choices) > 0:
+                # `delta` may be absent or omit `role` (e.g. content-only deltas).
+                role = _choices[0].get("delta", {}).get("role") or "assistant"
         finish_reason = "stop"
         for chunk in chunks:
             if "choices" in chunk and len(chunk["choices"]) > 0:
diff --git a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
index 0f21cce476b..aec189da653 100644
--- a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
+++ b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
@@ -1342,3 +1342,106 @@ def test_calculate_usage_fills_unknown_split_from_reasoning_estimate(
     assert usage.completion_tokens == 100
     assert usage.completion_tokens_details.reasoning_tokens == expected_reasoning_tokens
     assert usage.completion_tokens_details.text_tokens == expected_text_tokens
+
+
+def _empty_choices_chunk(**extra):
+    chunk = {
+        "id": "chatcmpl-empty-choices",
+        "object": "chat.completion.chunk",
+        "created": 1,
+        "model": "claude-opus-4-8",
+        "choices": [],
+    }
+    chunk.update(extra)
+    return chunk
+
+
+@pytest.mark.parametrize(
+    "chunks",
+    [
+        pytest.param(
+            [_empty_choices_chunk(), _empty_choices_chunk()],
+            id="all_chunks_have_empty_choices",
+        ),
+        pytest.param(
+            [
+                _empty_choices_chunk(usage={"prompt_tokens": 10}),
+                _empty_choices_chunk(usage={"completion_tokens": 0}),
+            ],
+            id="usage_only_chunks",
+        ),
+    ],
+)
+def test_build_base_response_handles_empty_choices(chunks):
+    """Empty `choices` arrays must not raise IndexError.
+
+    `next((c for c in chunks if c.get("choices")), chunk)` used to fall back to the
+    first chunk, whose `choices` may be `[]`, so `["choices"][0]` went out of range.
+    The resulting error is surfaced to the client mid-stream and the request never
+    reaches SpendLogs.
+    """
+    processor = ChunkProcessor(chunks=list(chunks))
+
+    response = processor.build_base_response(list(chunks))
+
+    assert response.choices[0].message.role == "assistant"
+
+
+@pytest.mark.parametrize(
+    "delta",
+    [
+        pytest.param({"content": "Hello"}, id="delta_without_role"),
+        pytest.param({}, id="delta_empty_dict"),
+    ],
+)
+def test_build_base_response_handles_delta_without_role(delta):
+    """A `delta` that omits `role` must not raise KeyError."""
+    chunks = [
+        {
+            "id": "chatcmpl-no-role",
+            "object": "chat.completion.chunk",
+            "created": 1,
+            "model": "claude-opus-4-8",
+            "choices": [{"index": 0, "delta": delta, "finish_reason": None}],
+        }
+    ]
+    processor = ChunkProcessor(chunks=list(chunks))
+
+    response = processor.build_base_response(list(chunks))
+
+    assert response.choices[0].message.role == "assistant"
+
+
+def test_build_base_response_still_reads_role_and_finish_reason():
+    """Regression guard: well-formed chunks keep their role and finish_reason."""
+    chunks = [
+        _empty_choices_chunk(),
+        {
+            "id": "chatcmpl-normal",
+            "object": "chat.completion.chunk",
+            "created": 1,
+            "model": "claude-opus-4-8",
+            "choices": [
+                {
+                    "index": 0,
+                    "delta": {"role": "assistant", "content": "Hi"},
+                    "finish_reason": None,
+                }
+            ],
+        },
+        {
+            "id": "chatcmpl-normal",
+            "object": "chat.completion.chunk",
+            "created": 2,
+            "model": "claude-opus-4-8",
+            "choices": [
+                {"index": 0, "delta": {"content": "!"}, "finish_reason": "stop"}
+            ],
+        },
+    ]
+    processor = ChunkProcessor(chunks=list(chunks))
+
+    response = processor.build_base_response(list(chunks))
+
+    assert response.choices[0].message.role == "assistant"
+    assert response.choices[0].finish_reason == "stop"

From dfcea2c1866630313ec3083794a922ff6971583a Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Fri, 28 Aug 2026 17:16:00 -0700
Subject: [PATCH 004/223] fix(policy_engine): execute post_call guardrail
 pipelines on responses

---
 litellm/proxy/utils.py                        |  47 +++++-
 .../proxy_logging/test_guardrail_pipeline.py  | 152 +++++++++++++++++-
 2 files changed, 196 insertions(+), 3 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index d880b529727..bd8ba6ae9f0 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -455,6 +455,30 @@ def _pipeline_managed_guardrail_names(data: Mapping[str, object]) -> frozenset[s
     )
 
 
+def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object]) -> None:
+    if data.get("stream") is not True:
+        return
+    post_call_policies: Final = tuple(
+        policy_name for policy_name, pipeline in _policy_pipelines(data) if pipeline.mode == "post_call"
+    )
+    if not post_call_policies:
+        return
+    raise HTTPException(
+        status_code=400,
+        detail={
+            "error": {
+                "message": (
+                    "Policies with post_call guardrail pipelines cannot govern streaming responses yet: "
+                    f"{', '.join(post_call_policies)}. Retry with stream=false, or move these policies' output "
+                    "guardrails from pipeline steps to guardrails.add, which scans streamed output."
+                ),
+                "type": "guardrail_pipeline_error",
+                "policies": list(post_call_policies),
+            }
+        },
+    )
+
+
 def _prompt_block_text(block: object) -> str:
     if isinstance(block, str):
         return block
@@ -1578,6 +1602,7 @@ class ProxyLogging:
         call_type: str,
         event_hook: str,
         raw_request_snapshot: dict | None = None,  # mutable-ok: same request-payload shape as data
+        response: LLMResponseTypes | None = None,
     ) -> dict:
         """
         Execute guardrail pipelines if any are configured for this request.
@@ -1596,6 +1621,8 @@ class ProxyLogging:
         if not pipelines:
             return data
 
+        step_input: Final = {**data, "response": response} if response is not None else data
+
         for policy_name, pipeline in pipelines:
             if pipeline.mode != event_hook:
                 continue
@@ -1603,7 +1630,7 @@ class ProxyLogging:
             result: PipelineExecutionResult = await PipelineExecutor.execute_steps(
                 steps=pipeline.steps,
                 mode=pipeline.mode,
-                data=data,
+                data=step_input,
                 user_api_key_dict=user_api_key_dict,
                 call_type=call_type,
                 policy_name=policy_name,
@@ -1614,6 +1641,7 @@ class ProxyLogging:
                 result=result,
                 data=data,
                 policy_name=policy_name,
+                original_response=response,
             )
 
         return data
@@ -1623,14 +1651,18 @@ class ProxyLogging:
         result: PipelineExecutionResult,
         data: dict,
         policy_name: str,
+        original_response: LLMResponseTypes | None = None,
     ) -> dict:
         """
         Handle a PipelineExecutionResult — allow, block, or modify_response.
 
         Returns data dict if allowed, raises on block/modify_response.
+        ``original_response`` is set on the post_call path, where allowed
+        modifications land on the response object in place, so the request
+        payload (already sent upstream) is left untouched.
         """
         if result.terminal_action == "allow":
-            if result.modified_data is not None:
+            if result.modified_data is not None and original_response is None:
                 data.update(result.modified_data)
             return data
 
@@ -1671,6 +1703,7 @@ class ProxyLogging:
                 request_data=data,
                 guardrail_name=f"pipeline:{policy_name}",
                 detection_info=None,
+                original_response=original_response,
             )
 
         return data
@@ -1786,6 +1819,8 @@ class ProxyLogging:
         )
 
         try:
+            _raise_for_streaming_post_call_pipelines(data)
+
             # Execute guardrail pipelines before the normal callback loop
             data = await self._maybe_execute_pipelines(
                 data=data,
@@ -2774,6 +2809,14 @@ class ProxyLogging:
         from litellm.proxy.proxy_server import llm_router
         from litellm.types.guardrails import GuardrailEventHooks
 
+        await self._maybe_execute_pipelines(
+            data=data,
+            user_api_key_dict=user_api_key_dict,
+            call_type=getattr(data.get("litellm_logging_obj"), "call_type", None) or "acompletion",
+            event_hook="post_call",
+            response=response,
+        )
+
         guardrail_callbacks: Final[list[CustomGuardrail]] = []
         other_callbacks: Final[list[CustomLogger]] = []
         try:
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index e99e34d65d4..b7e86b68fe4 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -23,7 +23,7 @@ from litellm.integrations.custom_guardrail import (
     ModifyResponseException,
 )
 from litellm.integrations.prometheus import PrometheusLogger
-from litellm.proxy.utils import ProxyLogging
+from litellm.proxy.utils import ProxyLogging, _raise_for_streaming_post_call_pipelines
 from litellm.types.guardrails import GuardrailEventHooks
 from litellm.types.proxy.policy_engine.pipeline_types import (
     GuardrailPipeline,
@@ -865,3 +865,153 @@ async def test_process_prompt_template_aresponses_swaps_model_and_merges_input(p
     hook_kwargs = logging_obj.async_get_chat_completion_prompt.await_args.kwargs
     assert hook_kwargs["messages"] == [{"role": "user", "content": "Who are you?"}]
     assert hook_kwargs["prompt_spec"] is prompt_spec
+
+
+# ---------------------------------------------------------------------------
+# post_call pipeline execution (LIT-6410)
+# ---------------------------------------------------------------------------
+
+
+def _post_call_pipeline_data(guardrail: str = "gr-post", **extra: Any) -> Dict[str, Any]:
+    pipeline = GuardrailPipeline(
+        mode="post_call",
+        steps=[PipelineStep(guardrail=guardrail, on_pass="allow", on_fail="block")],
+    )
+    return {
+        "model": "m",
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {
+            "_guardrail_pipelines": [("response-governance", pipeline)],
+            "_pipeline_managed_guardrails": {guardrail},
+        },
+        **extra,
+    }
+
+
+@pytest.mark.asyncio
+async def test_post_call_success_hook_runs_post_call_pipeline_and_reraises_block(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+
+    class OutputBlockingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            seen["response"] = response
+            raise HTTPException(status_code=400, detail={"error": "output blocked"})
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [OutputBlockingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data()
+    response = litellm.ModelResponse()
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.post_call_success_hook(
+            data=data, response=response, user_api_key_dict=make_user_api_key_auth()
+        )
+
+    assert info.value.detail["error"] == "output blocked"
+    assert seen["response"] is response
+
+
+@pytest.mark.asyncio
+async def test_post_call_pipeline_pass_runs_once_and_leaves_request_data_untouched(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {"count": 0}
+
+    class RecordingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            seen["count"] += 1
+            seen["response"] = response
+            return None
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [RecordingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data()
+    response = litellm.ModelResponse()
+
+    out = await proxy_logging.post_call_success_hook(
+        data=data, response=response, user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert out is response
+    assert seen["response"] is response
+    assert seen["count"] == 1
+    assert "response" not in data
+    assert "guardrails" not in data["metadata"]
+
+
+def test_handle_pipeline_result_modify_response_carries_original_response():
+    result = MagicMock()
+    result.terminal_action = "modify_response"
+    result.modify_response_message = "filtered"
+    response = litellm.ModelResponse()
+
+    with pytest.raises(ModifyResponseException) as info:
+        ProxyLogging._handle_pipeline_result(
+            result=result, data={"model": "m"}, policy_name="p", original_response=response
+        )
+
+    assert info.value.original_response is response
+
+
+def test_handle_pipeline_result_allow_discards_modifications_on_post_call():
+    data = {"a": 1, "metadata": {"guardrails": ["other"]}}
+    result = MagicMock()
+    result.terminal_action = "allow"
+    result.modified_data = {"metadata": {"guardrails": ["gr-post"]}, "response": object()}
+
+    out = ProxyLogging._handle_pipeline_result(
+        result=result, data=data, policy_name="p", original_response=litellm.ModelResponse()
+    )
+
+    assert out is data
+    assert data == {"a": 1, "metadata": {"guardrails": ["other"]}}
+
+
+@pytest.mark.asyncio
+async def test_pre_call_hook_rejects_streaming_request_with_post_call_pipeline(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    monkeypatch.setattr(litellm, "callbacks", [])
+    data = _post_call_pipeline_data(stream=True)
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.pre_call_hook(
+            user_api_key_dict=make_user_api_key_auth(),
+            data=data,
+            call_type="completion",
+            guardrails_only=True,
+        )
+
+    assert info.value.status_code == 400
+    assert info.value.detail["error"]["policies"] == ["response-governance"]
+    assert "stream=false" in info.value.detail["error"]["message"]
+
+
+def test_raise_for_streaming_post_call_pipelines_ignores_non_streaming_and_pre_call():
+    post_call = GuardrailPipeline(mode="post_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
+    pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
+
+    assert (
+        _raise_for_streaming_post_call_pipelines(
+            {"stream": False, "metadata": {"_guardrail_pipelines": [("p", post_call)]}}
+        )
+        is None
+    )
+    assert _raise_for_streaming_post_call_pipelines({"metadata": {"_guardrail_pipelines": [("p", post_call)]}}) is None
+    assert (
+        _raise_for_streaming_post_call_pipelines(
+            {"stream": True, "metadata": {"_guardrail_pipelines": [("p", pre_call)]}}
+        )
+        is None
+    )
+    assert _raise_for_streaming_post_call_pipelines({"stream": True}) is None

From e6edd62f5d0f010d34c203d9df8192462a1622c0 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Fri, 28 Aug 2026 17:40:48 -0700
Subject: [PATCH 005/223] fix(policy_engine): propagate post_call pipeline
 replacement responses to the client

---
 .../proxy/policy_engine/pipeline_executor.py  | 19 +++--
 litellm/proxy/utils.py                        | 32 +++++---
 .../proxy_logging/test_guardrail_pipeline.py  | 81 ++++++++++++++++++-
 .../utils/proxy_logging/test_pre_call_hook.py |  2 +-
 4 files changed, 112 insertions(+), 22 deletions(-)

diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index a5619821197..190784a2a60 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -108,8 +108,10 @@ class PipelineExecutor:
                 action,
             )
 
-            # Forward modified data to next step if pass_data is True
-            if step.pass_data and modified_data is not None:
+            # Forward modified data to the next step if pass_data is True;
+            # post_call response replacements always chain, matching the flat
+            # callback loop where each hook sees the previous hook's response
+            if modified_data is not None and (step.pass_data or mode == "post_call"):
                 working_data = {**working_data, **modified_data}
 
             # Handle terminal actions
@@ -227,11 +229,14 @@ class PipelineExecutor:
             # same contract as run_in_parallel/scan_raw_request elsewhere: any
             # data it returned is discarded, since applying it on top of the
             # raw snapshot would silently undo whatever an earlier step in
-            # this pipeline already did.
-            modified_data = None
-            if response is not None and isinstance(response, dict) and not scans_raw_request:
-                modified_data = response
-            return ("pass", modified_data, None, None)
+            # this pipeline already did. A post_call hook's non-None return is
+            # a replacement response (the flat callback-loop contract), carried
+            # under the same "response" key the step input uses.
+            if response is None or scans_raw_request:
+                return ("pass", None, None, None)
+            if mode == "post_call":
+                return ("pass", {"response": response}, None, None)
+            return ("pass", response if isinstance(response, dict) else None, None, None)
 
         except Exception as e:
             if CustomGuardrail._is_guardrail_intervention(e):
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index bd8ba6ae9f0..25c1068cc6d 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -1603,7 +1603,7 @@ class ProxyLogging:
         event_hook: str,
         raw_request_snapshot: dict | None = None,  # mutable-ok: same request-payload shape as data
         response: LLMResponseTypes | None = None,
-    ) -> dict:
+    ) -> tuple[dict, LLMResponseTypes | None]:
         """
         Execute guardrail pipelines if any are configured for this request.
 
@@ -1615,18 +1615,21 @@ class ProxyLogging:
         ``scan_raw_request`` evaluates the pristine request, not whatever an
         earlier ``pass_data`` step in the same pipeline already rewrote.
 
-        Returns the (possibly modified) data dict.
+        Returns the (possibly modified) data dict, plus the replacement
+        response when a post_call pipeline step returned one (None when the
+        response is unchanged), matching the flat callback-loop contract.
         """
         pipelines: Final = _policy_pipelines(data)
         if not pipelines:
-            return data
-
-        step_input: Final = {**data, "response": response} if response is not None else data
+            return data, None
 
+        current_response = response  # rebind-ok: chains each pipeline's replacement response into the next
         for policy_name, pipeline in pipelines:
             if pipeline.mode != event_hook:
                 continue
 
+            step_input: dict = {**data, "response": current_response} if current_response is not None else data
+
             result: PipelineExecutionResult = await PipelineExecutor.execute_steps(
                 steps=pipeline.steps,
                 mode=pipeline.mode,
@@ -1641,10 +1644,13 @@ class ProxyLogging:
                 result=result,
                 data=data,
                 policy_name=policy_name,
-                original_response=response,
+                original_response=current_response,
             )
 
-        return data
+            if current_response is not None and result.modified_data is not None:
+                current_response = result.modified_data.get("response", current_response)
+
+        return data, current_response if current_response is not response else None
 
     @staticmethod
     def _handle_pipeline_result(
@@ -1657,9 +1663,9 @@ class ProxyLogging:
         Handle a PipelineExecutionResult — allow, block, or modify_response.
 
         Returns data dict if allowed, raises on block/modify_response.
-        ``original_response`` is set on the post_call path, where allowed
-        modifications land on the response object in place, so the request
-        payload (already sent upstream) is left untouched.
+        ``original_response`` is set on the post_call path, where the request
+        payload (already sent upstream) must stay untouched; a replacement
+        response carried in ``modified_data`` is adopted by the caller.
         """
         if result.terminal_action == "allow":
             if result.modified_data is not None and original_response is None:
@@ -1822,7 +1828,7 @@ class ProxyLogging:
             _raise_for_streaming_post_call_pipelines(data)
 
             # Execute guardrail pipelines before the normal callback loop
-            data = await self._maybe_execute_pipelines(
+            data, _ = await self._maybe_execute_pipelines(
                 data=data,
                 user_api_key_dict=user_api_key_dict,
                 call_type=call_type,
@@ -2809,13 +2815,15 @@ class ProxyLogging:
         from litellm.proxy.proxy_server import llm_router
         from litellm.types.guardrails import GuardrailEventHooks
 
-        await self._maybe_execute_pipelines(
+        _, pipeline_response = await self._maybe_execute_pipelines(
             data=data,
             user_api_key_dict=user_api_key_dict,
             call_type=getattr(data.get("litellm_logging_obj"), "call_type", None) or "acompletion",
             event_hook="post_call",
             response=response,
         )
+        if pipeline_response is not None:
+            response = pipeline_response  # rebind-ok: adopt the pipeline's replacement response, same contract as the callback loops below
 
         guardrail_callbacks: Final[list[CustomGuardrail]] = []
         other_callbacks: Final[list[CustomLogger]] = []
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index b7e86b68fe4..8bc71f6e178 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -326,13 +326,14 @@ def test_process_guardrail_metadata_invalid_data_raises(proxy_logging):
 @pytest.mark.asyncio
 async def test_maybe_execute_pipelines_no_pipelines_returns_data(proxy_logging, make_user_api_key_auth):
     data = {"messages": [{"role": "user"}], "model": "m", "temperature": 0.1}
-    out = await proxy_logging._maybe_execute_pipelines(
+    out, replacement = await proxy_logging._maybe_execute_pipelines(
         data=data,
         user_api_key_dict=make_user_api_key_auth(),
         call_type="completion",
         event_hook="pre_call",
     )
     assert out == {"messages": [{"role": "user"}], "model": "m", "temperature": 0.1}
+    assert replacement is None
 
 
 @pytest.mark.asyncio
@@ -344,7 +345,7 @@ async def test_maybe_execute_pipelines_skips_pipelines_with_other_mode(proxy_log
     monkeypatch.setattr(
         "litellm.proxy.policy_engine.pipeline_executor.PipelineExecutor.execute_steps", executed
     )
-    out = await proxy_logging._maybe_execute_pipelines(
+    out, replacement = await proxy_logging._maybe_execute_pipelines(
         data=data,
         user_api_key_dict=make_user_api_key_auth(),
         call_type="completion",
@@ -352,6 +353,7 @@ async def test_maybe_execute_pipelines_skips_pipelines_with_other_mode(proxy_log
     )
     executed.assert_not_called()
     assert out is data
+    assert replacement is None
 
 
 @pytest.mark.parametrize(
@@ -949,6 +951,81 @@ async def test_post_call_pipeline_pass_runs_once_and_leaves_request_data_untouch
     assert "guardrails" not in data["metadata"]
 
 
+@pytest.mark.asyncio
+async def test_post_call_pipeline_replacement_response_reaches_caller(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    masked = litellm.ModelResponse()
+
+    class MaskingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            return masked
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [MaskingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data()
+
+    out = await proxy_logging.post_call_success_hook(
+        data=data, response=litellm.ModelResponse(), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert out is masked
+    assert "response" not in data
+
+
+@pytest.mark.asyncio
+async def test_post_call_pipeline_replacement_chains_to_next_step_without_pass_data(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    masked = litellm.ModelResponse()
+    seen: Dict[str, Any] = {}
+
+    class MaskingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            return masked
+
+    class RecordingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            seen["response"] = response
+            return None
+
+    pipeline = GuardrailPipeline(
+        mode="post_call",
+        steps=[
+            PipelineStep(guardrail="gr-mask", on_pass="next", on_fail="block"),
+            PipelineStep(guardrail="gr-audit", on_pass="allow", on_fail="block"),
+        ],
+    )
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [
+            MaskingGuardrail(guardrail_name="gr-mask", event_hook=GuardrailEventHooks.post_call, default_on=False),
+            RecordingGuardrail(guardrail_name="gr-audit", event_hook=GuardrailEventHooks.post_call, default_on=False),
+        ],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = {
+        "model": "m",
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {
+            "_guardrail_pipelines": [("response-governance", pipeline)],
+            "_pipeline_managed_guardrails": {"gr-mask", "gr-audit"},
+        },
+    }
+
+    out = await proxy_logging.post_call_success_hook(
+        data=data, response=litellm.ModelResponse(), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert out is masked
+    assert seen["response"] is masked
+
+
 def test_handle_pipeline_result_modify_response_carries_original_response():
     result = MagicMock()
     result.terminal_action = "modify_response"
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_pre_call_hook.py b/tests/test_litellm/proxy/utils/proxy_logging/test_pre_call_hook.py
index 0971ce09d79..06cf328a20c 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_pre_call_hook.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_pre_call_hook.py
@@ -660,7 +660,7 @@ async def test_scan_raw_request_snapshot_taken_before_pipelines(
         for msg in data.get("messages", []):
             if "SECRET" in msg.get("content", ""):
                 msg["content"] = msg["content"].replace("SECRET", "[REDACTED]")
-        return data
+        return data, None
 
     monkeypatch.setattr(ProxyLogging, "_maybe_execute_pipelines", fake_pipelines)
     monkeypatch.setattr(litellm, "callbacks", [_BlockOnSecretGuardrail(scan_raw_request=True)])

From aeac6a412c98c07cce64c5ddbd74d005f2e60e7e Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Fri, 28 Aug 2026 17:59:15 -0700
Subject: [PATCH 006/223] fix(policy_engine): skip pipeline-managed guardrails
 in the response-path guardrail loop

---
 litellm/proxy/utils.py                        |  9 ++++++-
 .../proxy_logging/test_guardrail_pipeline.py  | 26 +++++++++++++++++++
 2 files changed, 34 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 25c1068cc6d..75cc5c259a7 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -2825,6 +2825,7 @@ class ProxyLogging:
         if pipeline_response is not None:
             response = pipeline_response  # rebind-ok: adopt the pipeline's replacement response, same contract as the callback loops below
 
+        pipeline_managed: Final = _pipeline_managed_guardrail_names(data)
         guardrail_callbacks: Final[list[CustomGuardrail]] = []
         other_callbacks: Final[list[CustomLogger]] = []
         try:
@@ -2849,12 +2850,18 @@ class ProxyLogging:
             guardrail_data: Final = _check_and_merge_model_level_guardrails(data=data, llm_router=llm_router)
 
             parallel_guardrails: Final[tuple[CustomGuardrail, ...]] = tuple(
-                callback for callback in guardrail_callbacks if getattr(callback, "run_in_parallel", False)
+                callback
+                for callback in guardrail_callbacks
+                if getattr(callback, "run_in_parallel", False)
+                and not (callback.guardrail_name and callback.guardrail_name in pipeline_managed)
             )
 
             for callback in guardrail_callbacks:
                 # Main - V2 Guardrails implementation
 
+                if callback.guardrail_name and callback.guardrail_name in pipeline_managed:
+                    continue
+
                 if getattr(callback, "run_in_parallel", False):
                     continue
 
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 8bc71f6e178..c92f5fa6c55 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -951,6 +951,32 @@ async def test_post_call_pipeline_pass_runs_once_and_leaves_request_data_untouch
     assert "guardrails" not in data["metadata"]
 
 
+@pytest.mark.asyncio
+async def test_post_call_pipeline_managed_default_on_guardrail_runs_exactly_once(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {"count": 0}
+
+    class CountingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            seen["count"] += 1
+            return None
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [CountingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=True)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data()
+
+    await proxy_logging.post_call_success_hook(
+        data=data, response=litellm.ModelResponse(), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert seen["count"] == 1
+
+
 @pytest.mark.asyncio
 async def test_post_call_pipeline_replacement_response_reaches_caller(
     proxy_logging, make_user_api_key_auth, monkeypatch

From 55569729b05d601c139e43b8faba447983e89f74 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Fri, 28 Aug 2026 18:16:35 -0700
Subject: [PATCH 007/223] fix(policy_engine): scope pipeline-managed guardrail
 skips to the pipeline's mode

---
 litellm/proxy/utils.py                        | 20 ++---
 .../proxy_logging/test_guardrail_pipeline.py  | 73 +++++++++++++++++++
 2 files changed, 84 insertions(+), 9 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 75cc5c259a7..d3f2e1d7301 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -11,7 +11,7 @@ import sys
 import threading
 import time
 import traceback
-from collections.abc import AsyncGenerator, Awaitable, Callable, Collection, Coroutine, Mapping, Sequence
+from collections.abc import AsyncGenerator, Awaitable, Callable, Coroutine, Mapping, Sequence
 from dataclasses import dataclass, field
 from datetime import date, datetime, timedelta, timezone
 from email.mime.multipart import MIMEMultipart
@@ -446,12 +446,14 @@ def _policy_pipelines(data: Mapping[str, object]) -> tuple[tuple[str, "Guardrail
     )
 
 
-def _pipeline_managed_guardrail_names(data: Mapping[str, object]) -> frozenset[str]:
-    managed: Final = _policy_state_metadata(data).get("_pipeline_managed_guardrails")
-    return (
-        frozenset(cast("Collection[str]", managed))  # cast-ok: the policy engine wrote these guardrail names
-        if managed
-        else frozenset()
+def _pipeline_managed_guardrail_names(
+    data: Mapping[str, object], mode: Literal["pre_call", "post_call"]
+) -> frozenset[str]:
+    return frozenset(
+        step.guardrail
+        for _policy_name, pipeline in _policy_pipelines(data)
+        if pipeline.mode == mode
+        for step in pipeline.steps
     )
 
 
@@ -1837,7 +1839,7 @@ class ProxyLogging:
             )
 
             # Get pipeline-managed guardrails to skip in normal loop
-            pipeline_managed: Final = _pipeline_managed_guardrail_names(data)
+            pipeline_managed: Final = _pipeline_managed_guardrail_names(data, "pre_call")
 
             caps: Final = ProxyLogging._callback_capabilities()
             # Skip the per-request callback walk entirely when nothing in
@@ -2825,7 +2827,7 @@ class ProxyLogging:
         if pipeline_response is not None:
             response = pipeline_response  # rebind-ok: adopt the pipeline's replacement response, same contract as the callback loops below
 
-        pipeline_managed: Final = _pipeline_managed_guardrail_names(data)
+        pipeline_managed: Final = _pipeline_managed_guardrail_names(data, "post_call")
         guardrail_callbacks: Final[list[CustomGuardrail]] = []
         other_callbacks: Final[list[CustomLogger]] = []
         try:
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index c92f5fa6c55..4e1ccf71c5c 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -977,6 +977,79 @@ async def test_post_call_pipeline_managed_default_on_guardrail_runs_exactly_once
     assert seen["count"] == 1
 
 
+@pytest.mark.asyncio
+async def test_post_call_hook_still_runs_guardrail_managed_only_by_pre_call_pipeline(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {"count": 0}
+
+    class DualStageGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            seen["count"] += 1
+            return None
+
+    pre_call_pipeline = GuardrailPipeline(
+        mode="pre_call",
+        steps=[PipelineStep(guardrail="gr-dual", on_pass="allow", on_fail="block")],
+    )
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [DualStageGuardrail(guardrail_name="gr-dual", event_hook=["pre_call", "post_call"], default_on=True)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = {
+        "model": "m",
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {
+            "_guardrail_pipelines": [("request-governance", pre_call_pipeline)],
+            "_pipeline_managed_guardrails": {"gr-dual"},
+        },
+    }
+
+    await proxy_logging.post_call_success_hook(
+        data=data, response=litellm.ModelResponse(), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert seen["count"] == 1
+
+
+@pytest.mark.asyncio
+async def test_pre_call_hook_still_runs_guardrail_managed_only_by_post_call_pipeline(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {"count": 0}
+
+    class DualStageGuardrail(CustomGuardrail):
+        async def async_pre_call_hook(self, user_api_key_dict, cache, data, call_type):
+            seen["count"] += 1
+            return data
+
+    post_call_pipeline = GuardrailPipeline(
+        mode="post_call",
+        steps=[PipelineStep(guardrail="gr-dual", on_pass="allow", on_fail="block")],
+    )
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [DualStageGuardrail(guardrail_name="gr-dual", event_hook=["pre_call", "post_call"], default_on=True)],
+    )
+    data = {
+        "model": "m",
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {
+            "_guardrail_pipelines": [("response-governance", post_call_pipeline)],
+            "_pipeline_managed_guardrails": {"gr-dual"},
+        },
+    }
+
+    await proxy_logging.pre_call_hook(
+        user_api_key_dict=make_user_api_key_auth(), data=data, call_type="completion"
+    )
+
+    assert seen["count"] == 1
+
+
 @pytest.mark.asyncio
 async def test_post_call_pipeline_replacement_response_reaches_caller(
     proxy_logging, make_user_api_key_auth, monkeypatch

From 996019cd23423c7b2a35dbd50f4b3b3571362cd3 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 00:14:23 -0700
Subject: [PATCH 008/223] fix(policy_engine): keep post_call pipeline guardrail
 logging and reject background bypass

Post_call pipelines run step hooks against a copied request dict, so guardrail
writes into the metadata bucket (applied_guardrails for the response header,
standard_logging_guardrail_information for spend logs) were dropped when the
guardrail was the first writer. Merge those writes back onto the request on the
post_call allow path, keeping the request payload and the executor's per-step
guardrails activation flag out of it.

Background /v1/responses requests dodge the streaming 400: pre_call sees stream
unset, then the polling task forces stream=true with pre-call logic skipped and
the streaming branch returns before post_call_success_hook, silently bypassing
post_call pipelines. Reject background=true at pre_call the same way as
stream=true.

Also pin the run_in_parallel pipeline-managed exclusion in both hook loops with
regression tests.
---
 litellm/proxy/utils.py                        |  49 +++++-
 .../proxy_logging/test_guardrail_pipeline.py  | 148 +++++++++++++++++-
 2 files changed, 187 insertions(+), 10 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index d3f2e1d7301..0f97473312c 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -457,8 +457,37 @@ def _pipeline_managed_guardrail_names(
     )
 
 
+def _merge_pipeline_metadata_bucket(data: dict, bucket_key: str, modified_bucket_value: object) -> None:
+    if not isinstance(modified_bucket_value, dict):
+        return
+    modified_bucket: Final = cast("dict[str, object]", modified_bucket_value)  # cast-ok: metadata buckets are str-keyed
+    surviving_writes: Final = {key: value for key, value in modified_bucket.items() if key != "guardrails"}
+    existing_bucket: Final = data.get(bucket_key)
+    if isinstance(existing_bucket, dict):
+        cast("dict[str, object]", existing_bucket).update(surviving_writes)  # cast-ok: metadata buckets are str-keyed
+    else:
+        data[bucket_key] = surviving_writes
+
+
+def _merge_pipeline_metadata_writes(data: dict, modified_data: Mapping[str, object]) -> None:
+    """
+    Copy metadata-bucket writes from a pipeline's working copy back onto the request.
+
+    Post_call pipelines run step hooks against a copied request dict so the payload
+    already sent upstream stays untouched, but hooks record proxy-internal logging
+    state in the metadata buckets (``applied_guardrails`` for response headers,
+    ``standard_logging_guardrail_information`` for spend logs), and those writes
+    must reach the request dict the proxy keeps reading after the pipeline returns.
+
+    The ``guardrails`` key is the executor's per-step activation flag for
+    ``should_run_guardrail``, not a hook write, so it stays in the working copy.
+    """
+    for bucket_key in ("metadata", "litellm_metadata"):
+        _merge_pipeline_metadata_bucket(data, bucket_key, modified_data.get(bucket_key))
+
+
 def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object]) -> None:
-    if data.get("stream") is not True:
+    if data.get("stream") is not True and data.get("background") is not True:
         return
     post_call_policies: Final = tuple(
         policy_name for policy_name, pipeline in _policy_pipelines(data) if pipeline.mode == "post_call"
@@ -470,9 +499,10 @@ def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object]) -> None
         detail={
             "error": {
                 "message": (
-                    "Policies with post_call guardrail pipelines cannot govern streaming responses yet: "
-                    f"{', '.join(post_call_policies)}. Retry with stream=false, or move these policies' output "
-                    "guardrails from pipeline steps to guardrails.add, which scans streamed output."
+                    "Policies with post_call guardrail pipelines cannot govern streaming or background "
+                    f"responses yet: {', '.join(post_call_policies)}. Retry with stream=false and "
+                    "background=false, or move these policies' output guardrails from pipeline steps to "
+                    "guardrails.add, which scans streamed output."
                 ),
                 "type": "guardrail_pipeline_error",
                 "policies": list(post_call_policies),
@@ -1667,11 +1697,16 @@ class ProxyLogging:
         Returns data dict if allowed, raises on block/modify_response.
         ``original_response`` is set on the post_call path, where the request
         payload (already sent upstream) must stay untouched; a replacement
-        response carried in ``modified_data`` is adopted by the caller.
+        response carried in ``modified_data`` is adopted by the caller, and
+        metadata-bucket writes (applied guardrails, guardrail logging info)
+        are merged back so headers and spend logs still see them.
         """
         if result.terminal_action == "allow":
-            if result.modified_data is not None and original_response is None:
-                data.update(result.modified_data)
+            if result.modified_data is not None:
+                if original_response is None:
+                    data.update(result.modified_data)
+                else:
+                    _merge_pipeline_metadata_writes(data, result.modified_data)
             return data
 
         if result.terminal_action == "block":
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 4e1ccf71c5c..34a25d75bc0 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -23,6 +23,7 @@ from litellm.integrations.custom_guardrail import (
     ModifyResponseException,
 )
 from litellm.integrations.prometheus import PrometheusLogger
+from litellm.proxy.common_utils.callback_utils import add_guardrail_to_applied_guardrails_header
 from litellm.proxy.utils import ProxyLogging, _raise_for_streaming_post_call_pipelines
 from litellm.types.guardrails import GuardrailEventHooks
 from litellm.types.proxy.policy_engine.pipeline_types import (
@@ -1139,18 +1140,132 @@ def test_handle_pipeline_result_modify_response_carries_original_response():
     assert info.value.original_response is response
 
 
-def test_handle_pipeline_result_allow_discards_modifications_on_post_call():
+def test_handle_pipeline_result_allow_on_post_call_keeps_metadata_writes_only():
     data = {"a": 1, "metadata": {"guardrails": ["other"]}}
     result = MagicMock()
     result.terminal_action = "allow"
-    result.modified_data = {"metadata": {"guardrails": ["gr-post"]}, "response": object()}
+    result.modified_data = {
+        "a": 2,
+        "metadata": {"guardrails": ["other"], "applied_guardrails": ["gr-post"]},
+        "response": object(),
+    }
 
     out = ProxyLogging._handle_pipeline_result(
         result=result, data=data, policy_name="p", original_response=litellm.ModelResponse()
     )
 
     assert out is data
-    assert data == {"a": 1, "metadata": {"guardrails": ["other"]}}
+    assert data["a"] == 1
+    assert "response" not in data
+    assert data["metadata"] == {"guardrails": ["other"], "applied_guardrails": ["gr-post"]}
+
+
+@pytest.mark.asyncio
+async def test_post_call_pipeline_guardrail_metadata_writes_reach_request_data(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    class HeaderWritingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            add_guardrail_to_applied_guardrails_header(request_data=data, guardrail_name="gr-post")
+            self.add_standard_logging_guardrail_information_to_request_data(
+                guardrail_json_response={"verdict": "pass"},
+                request_data=data,
+                guardrail_status="success",
+            )
+            return None
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [HeaderWritingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data()
+
+    await proxy_logging.post_call_success_hook(
+        data=data, response=litellm.ModelResponse(), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert data["metadata"]["applied_guardrails"] == ["gr-post"]
+    slg_entries = data["metadata"]["standard_logging_guardrail_information"]
+    assert len(slg_entries) == 1
+    assert slg_entries[0]["guardrail_name"] == "gr-post"
+
+
+@pytest.mark.asyncio
+async def test_post_call_pipeline_managed_parallel_guardrail_runs_exactly_once(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {"count": 0}
+
+    class CountingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            seen["count"] += 1
+            return None
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [
+            CountingGuardrail(
+                guardrail_name="gr-post",
+                event_hook=GuardrailEventHooks.post_call,
+                default_on=True,
+                run_in_parallel=True,
+            )
+        ],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data()
+
+    await proxy_logging.post_call_success_hook(
+        data=data, response=litellm.ModelResponse(), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert seen["count"] == 1
+
+
+@pytest.mark.asyncio
+async def test_pre_call_pipeline_managed_parallel_guardrail_runs_exactly_once(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {"count": 0}
+
+    class CountingGuardrail(CustomGuardrail):
+        async def async_pre_call_hook(self, user_api_key_dict, cache, data, call_type):
+            seen["count"] += 1
+            return data
+
+    pre_call_pipeline = GuardrailPipeline(
+        mode="pre_call",
+        steps=[PipelineStep(guardrail="gr-pre", on_pass="allow", on_fail="block")],
+    )
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [
+            CountingGuardrail(
+                guardrail_name="gr-pre",
+                event_hook=GuardrailEventHooks.pre_call,
+                default_on=True,
+                run_in_parallel=True,
+            )
+        ],
+    )
+    data = {
+        "model": "m",
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {
+            "_guardrail_pipelines": [("request-governance", pre_call_pipeline)],
+            "_pipeline_managed_guardrails": {"gr-pre"},
+        },
+    }
+
+    await proxy_logging.pre_call_hook(
+        user_api_key_dict=make_user_api_key_auth(), data=data, call_type="completion"
+    )
+
+    assert seen["count"] == 1
 
 
 @pytest.mark.asyncio
@@ -1173,6 +1288,26 @@ async def test_pre_call_hook_rejects_streaming_request_with_post_call_pipeline(
     assert "stream=false" in info.value.detail["error"]["message"]
 
 
+@pytest.mark.asyncio
+async def test_pre_call_hook_rejects_background_request_with_post_call_pipeline(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    monkeypatch.setattr(litellm, "callbacks", [])
+    data = _post_call_pipeline_data(background=True)
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.pre_call_hook(
+            user_api_key_dict=make_user_api_key_auth(),
+            data=data,
+            call_type="aresponses",
+            guardrails_only=True,
+        )
+
+    assert info.value.status_code == 400
+    assert info.value.detail["error"]["policies"] == ["response-governance"]
+    assert "background=false" in info.value.detail["error"]["message"]
+
+
 def test_raise_for_streaming_post_call_pipelines_ignores_non_streaming_and_pre_call():
     post_call = GuardrailPipeline(mode="post_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
     pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
@@ -1183,6 +1318,12 @@ def test_raise_for_streaming_post_call_pipelines_ignores_non_streaming_and_pre_c
         )
         is None
     )
+    assert (
+        _raise_for_streaming_post_call_pipelines(
+            {"background": False, "metadata": {"_guardrail_pipelines": [("p", post_call)]}}
+        )
+        is None
+    )
     assert _raise_for_streaming_post_call_pipelines({"metadata": {"_guardrail_pipelines": [("p", post_call)]}}) is None
     assert (
         _raise_for_streaming_post_call_pipelines(
@@ -1191,3 +1332,4 @@ def test_raise_for_streaming_post_call_pipelines_ignores_non_streaming_and_pre_c
         is None
     )
     assert _raise_for_streaming_post_call_pipelines({"stream": True}) is None
+    assert _raise_for_streaming_post_call_pipelines({"background": True}) is None

From c5bcf3a73594ce5fad662a47781d89dbe7955718 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 12:06:43 -0700
Subject: [PATCH 009/223] feat(policy_engine): execute post_call guardrail
 pipelines on streaming responses

---
 .../unified_guardrail/unified_guardrail.py    |  46 ++++-
 .../proxy/policy_engine/pipeline_executor.py  |  47 ++++-
 litellm/proxy/utils.py                        | 187 ++++++++++++++++--
 .../test_unified_guardrail.py                 |   2 +-
 .../proxy_logging/test_guardrail_pipeline.py  | 168 +++++++++++++++-
 5 files changed, 417 insertions(+), 33 deletions(-)

diff --git a/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py b/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py
index e95e97bfe74..60b4444e1d4 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py
@@ -19,7 +19,7 @@ from litellm.cost_calculator import _infer_call_type
 from litellm.integrations.custom_guardrail import CustomGuardrail
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.litellm_core_utils.api_route_to_call_types import get_call_types_for_route
-from litellm.llms import load_guardrail_translation_mappings
+from litellm.llms import get_guardrail_translation_mapping, load_guardrail_translation_mappings
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.types.guardrails import GuardrailEventHooks
 from litellm.types.utils import (
@@ -62,6 +62,36 @@ def _as_endpoint_translation(translation: _EndpointTranslation) -> _EndpointTran
     return translation
 
 
+def resolve_endpoint_translation(
+    user_api_key_dict: UserAPIKeyAuth, first_response_item: object | None
+) -> "tuple[str, BaseTranslation] | None":
+    """
+    Resolve the endpoint guardrail translation for a streamed response: the
+    request route wins, falling back to inferring the call type from the first
+    response chunk (the same resolution order the streaming iterator hook uses).
+    Returns None when the call type is unresolvable or has no translation.
+    """
+    route_call_types: Final = (
+        get_call_types_for_route(user_api_key_dict.request_route) if user_api_key_dict.request_route else None
+    )
+    call_type: Final = (
+        route_call_types[0].value
+        if route_call_types
+        else (
+            _infer_call_type(call_type=None, completion_response=first_response_item)
+            if first_response_item is not None
+            else None
+        )
+    )
+    if call_type is None:
+        return None
+    try:
+        handler_cls: Final = get_guardrail_translation_mapping(CallTypes(call_type))
+    except ValueError:
+        return None
+    return call_type, handler_cls()
+
+
 def _chunk_choices(item: object) -> Sequence[object]:
     choices: Final[Sequence[object]] = getattr(item, "choices", None) or []
     return choices
@@ -346,7 +376,7 @@ class UnifiedLLMGuardrails(CustomLogger):
 
         return response
 
-    async def _handle_streaming_block(
+    async def handle_streaming_block(
         self,
         exc: "ModifyResponseException",
         endpoint_translation: _EndpointTranslation,
@@ -402,7 +432,7 @@ class UnifiedLLMGuardrails(CustomLogger):
             return None
         return call_type
 
-    async def _emit_streaming_http_error(
+    async def emit_streaming_http_error(
         self,
         exc: HTTPException,
         call_type: str | None,
@@ -577,7 +607,7 @@ class UnifiedLLMGuardrails(CustomLogger):
         except ModifyResponseException as e:
             if e.original_response is None:
                 e.original_response = responses_so_far
-            async for block_chunk in self._handle_streaming_block(
+            async for block_chunk in self.handle_streaming_block(
                 e,
                 endpoint_translation,
                 stream_started=bool(responses_yielded),
@@ -586,7 +616,7 @@ class UnifiedLLMGuardrails(CustomLogger):
                 yield block_chunk
             raise _StreamTerminated()
         except HTTPException as e:
-            async for error_item in self._emit_streaming_http_error(e, call_type, responses_so_far, request_data):
+            async for error_item in self.emit_streaming_http_error(e, call_type, responses_so_far, request_data):
                 yield error_item
             raise _StreamTerminated()
 
@@ -758,7 +788,7 @@ class UnifiedLLMGuardrails(CustomLogger):
         except ModifyResponseException as e:
             if e.original_response is None:
                 e.original_response = responses_so_far
-            async for block_chunk in self._handle_streaming_block(
+            async for block_chunk in self.handle_streaming_block(
                 e,
                 endpoint_translation,
                 stream_started=bool(responses_yielded),
@@ -1060,7 +1090,7 @@ class UnifiedLLMGuardrails(CustomLogger):
                     # The current chunk was appended to responses_so_far but not
                     # yet yielded, so exclude it: the continuation must reflect
                     # only what the client has actually received.
-                    async for block_chunk in self._handle_streaming_block(
+                    async for block_chunk in self.handle_streaming_block(
                         e,
                         endpoint_translation,
                         stream_started=chunks_yielded,
@@ -1124,7 +1154,7 @@ class UnifiedLLMGuardrails(CustomLogger):
                 # terminating SSE sequence with the block message rather than
                 # propagating into a bare error blob that truncates the stream.
                 # The withheld original chunks are never released.
-                async for block_chunk in self._handle_streaming_block(
+                async for block_chunk in self.handle_streaming_block(
                     e,
                     endpoint_translation,
                     stream_started=bool(responses_yielded),
diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index 190784a2a60..c422a7c0964 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -6,7 +6,7 @@ pass/fail actions (allow, block, next, modify_response) and data forwarding.
 """
 
 import time
-from typing import Any, Final, Literal
+from typing import TYPE_CHECKING, Any, Final, Literal
 
 import litellm
 from litellm._logging import verbose_proxy_logger
@@ -25,6 +25,11 @@ from litellm.types.proxy.policy_engine.pipeline_types import (
     PipelineStepResult,
 )
 
+if TYPE_CHECKING:
+    from litellm.llms.base_llm.guardrail_translation.base_translation import (
+        BaseTranslation,
+    )
+
 try:
     from fastapi.exceptions import HTTPException
 except ImportError:
@@ -43,6 +48,8 @@ class PipelineExecutor:
         call_type: str,
         policy_name: str,
         raw_request_snapshot: dict | None = None,  # mutable-ok: same request-payload shape as data
+        streaming_chunks: list[Any] | None = None,  # mutable-ok: shared buffered-stream chunks, read per step
+        endpoint_translation: "BaseTranslation | None" = None,
     ) -> PipelineExecutionResult:
         """
         Execute pipeline steps sequentially with conditional actions.
@@ -59,6 +66,12 @@ class PipelineExecutor:
                 step whose guardrail opted into ``scan_raw_request`` evaluates
                 the original request instead of whatever an earlier
                 ``pass_data`` step in this same pipeline already rewrote.
+            streaming_chunks: buffered chunks of a completed stream. When set
+                (with ``endpoint_translation``), post_call steps scan the
+                assembled streamed output through the endpoint translation
+                instead of calling ``async_post_call_success_hook``.
+            endpoint_translation: the guardrail translation for the streamed
+                endpoint, resolved by the caller.
 
         Returns:
             PipelineExecutionResult with terminal action and step results
@@ -83,6 +96,8 @@ class PipelineExecutor:
                 user_api_key_dict=user_api_key_dict,
                 call_type=call_type,
                 raw_request_snapshot=raw_request_snapshot,
+                streaming_chunks=streaming_chunks,
+                endpoint_translation=endpoint_translation,
             )
 
             duration = time.perf_counter() - start_time
@@ -154,6 +169,8 @@ class PipelineExecutor:
         user_api_key_dict: Any,
         call_type: str,
         raw_request_snapshot: dict | None = None,  # mutable-ok: same request-payload shape as data
+        streaming_chunks: list[Any] | None = None,  # mutable-ok: shared buffered-stream chunks, read per step
+        endpoint_translation: "BaseTranslation | None" = None,
     ) -> tuple[
         Literal["pass", "fail", "error"],
         dict | None,
@@ -198,10 +215,8 @@ class PipelineExecutor:
 
             # Use unified_guardrail path if callback implements apply_guardrail
             target: CustomLogger = callback
-            use_unified: Final = (
-                "apply_guardrail" in type(callback).__dict__ and not callback.use_native_lifecycle_hooks
-            )
-            if use_unified:
+            use_unified: Final = PipelineExecutor.supports_unified_execution(callback)
+            if use_unified and streaming_chunks is None:
                 hook_input["guardrail_to_apply"] = callback
                 target = UnifiedLLMGuardrails()
 
@@ -216,6 +231,22 @@ class PipelineExecutor:
                     callback.mark_pre_call_hook_ran(data)
                     if isinstance(response, dict):
                         callback.mark_pre_call_hook_ran(response)
+            elif mode == "post_call" and streaming_chunks is not None:
+                if not use_unified or endpoint_translation is None:
+                    return (
+                        "error",
+                        None,
+                        f"Guardrail '{step.guardrail}' does not support streaming pipeline execution",
+                        None,
+                    )
+                await endpoint_translation.process_output_streaming_response(
+                    responses_so_far=streaming_chunks,
+                    guardrail_to_apply=callback,
+                    litellm_logging_obj=data.get("litellm_logging_obj"),
+                    user_api_key_dict=user_api_key_dict,
+                    request_data=hook_input,
+                )
+                response = None
             elif mode == "post_call":
                 response = await target.async_post_call_success_hook(
                     user_api_key_dict=user_api_key_dict,
@@ -246,6 +277,12 @@ class PipelineExecutor:
                 verbose_proxy_logger.error("Pipeline: unexpected error from guardrail '%s': %s", step.guardrail, e)
                 return ("error", None, str(e), e)
 
+    @staticmethod
+    def supports_unified_execution(callback: CustomGuardrail) -> bool:
+        """Whether this guardrail runs through the unified apply_guardrail path,
+        the interface streaming pipeline execution requires."""
+        return "apply_guardrail" in type(callback).__dict__ and not callback.use_native_lifecycle_hooks
+
     @staticmethod
     def find_guardrail_callback(guardrail_name: str) -> CustomGuardrail | None:
         """Look up an initialized guardrail callback by name from litellm.callbacks."""
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 80e991640a9..5642eb5383e 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -19,7 +19,7 @@ from email.mime.text import MIMEText
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, ClassVar, Final, Literal, Optional, Protocol, TypeVar, Union, cast, overload
 
-from typing_extensions import ReadOnly, TypedDict
+from typing_extensions import NotRequired, ReadOnly, TypedDict
 
 from litellm import _custom_logger_compatible_callbacks_literal
 from litellm.constants import (
@@ -486,29 +486,80 @@ def _merge_pipeline_metadata_writes(data: dict, modified_data: Mapping[str, obje
         _merge_pipeline_metadata_bucket(data, bucket_key, modified_data.get(bucket_key))
 
 
+def _pipeline_step_supports_streaming(guardrail_name: str) -> bool:
+    callback: Final = PipelineExecutor.find_guardrail_callback(guardrail_name)
+    return callback is not None and PipelineExecutor.supports_unified_execution(callback)
+
+
+class _PipelineErrorBody(TypedDict):
+    message: ReadOnly[str]
+    type: ReadOnly[str]
+    policies: ReadOnly[tuple[str, ...]]
+    guardrails: NotRequired[ReadOnly[tuple[str, ...]]]
+
+
+class _PipelineErrorDetail(TypedDict):
+    error: ReadOnly[_PipelineErrorBody]
+
+
 def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object]) -> None:
-    if data.get("stream") is not True and data.get("background") is not True:
+    """
+    Reject up front the requests whose post_call pipelines could never run.
+
+    Background responses skip the post_call hooks entirely, so a pipeline
+    governing one would silently never execute. Streaming responses execute
+    pipelines against the buffered stream through the endpoint guardrail
+    translations, which requires every step's guardrail to support the unified
+    apply_guardrail interface; steps that cannot (native-lifecycle guardrails,
+    or guardrails not registered at all) keep the 400 rather than letting
+    ungoverned output stream through.
+    """
+    is_stream: Final = data.get("stream") is True
+    is_background: Final = data.get("background") is True
+    if not is_stream and not is_background:
         return
-    post_call_policies: Final = tuple(
-        policy_name for policy_name, pipeline in _policy_pipelines(data) if pipeline.mode == "post_call"
+    post_call_pipelines: Final = tuple(
+        (policy_name, pipeline) for policy_name, pipeline in _policy_pipelines(data) if pipeline.mode == "post_call"
     )
-    if not post_call_policies:
+    if not post_call_pipelines:
         return
-    raise HTTPException(
-        status_code=400,
-        detail={
+    post_call_policies: Final = tuple(policy_name for policy_name, _pipeline in post_call_pipelines)
+    if is_background:
+        background_detail: Final[_PipelineErrorDetail] = {
             "error": {
                 "message": (
-                    "Policies with post_call guardrail pipelines cannot govern streaming or background "
-                    f"responses yet: {', '.join(post_call_policies)}. Retry with stream=false and "
-                    "background=false, or move these policies' output guardrails from pipeline steps to "
-                    "guardrails.add, which scans streamed output."
+                    "Policies with post_call guardrail pipelines cannot govern background "
+                    f"responses: {', '.join(post_call_policies)}. Retry with background=false."
                 ),
                 "type": "guardrail_pipeline_error",
-                "policies": list(post_call_policies),
+                "policies": post_call_policies,
             }
-        },
+        }
+        raise HTTPException(status_code=400, detail=background_detail)
+    unsupported_guardrails: Final = tuple(
+        dict.fromkeys(
+            step.guardrail
+            for _policy_name, pipeline in post_call_pipelines
+            for step in pipeline.steps
+            if not _pipeline_step_supports_streaming(step.guardrail)
+        )
     )
+    if not unsupported_guardrails:
+        return
+    unsupported_detail: Final[_PipelineErrorDetail] = {
+        "error": {
+            "message": (
+                "Policies with post_call guardrail pipelines cannot govern streaming responses "
+                "because these pipeline guardrails do not support the unified apply_guardrail "
+                f"interface: {', '.join(unsupported_guardrails)}. Retry with stream=false, or move "
+                "them from pipeline steps to guardrails.add, which scans streamed output."
+            ),
+            "type": "guardrail_pipeline_error",
+            "policies": post_call_policies,
+            "guardrails": unsupported_guardrails,
+        }
+    }
+    raise HTTPException(status_code=400, detail=unsupported_detail)
 
 
 def _prompt_block_text(block: object) -> str:
@@ -1689,7 +1740,7 @@ class ProxyLogging:
         result: PipelineExecutionResult,
         data: dict,
         policy_name: str,
-        original_response: LLMResponseTypes | None = None,
+        original_response: "LLMResponseTypes | Sequence[object] | None" = None,
     ) -> dict:
         """
         Handle a PipelineExecutionResult — allow, block, or modify_response.
@@ -1699,7 +1750,9 @@ class ProxyLogging:
         payload (already sent upstream) must stay untouched; a replacement
         response carried in ``modified_data`` is adopted by the caller, and
         metadata-bucket writes (applied guardrails, guardrail logging info)
-        are merged back so headers and spend logs still see them.
+        are merged back so headers and spend logs still see them. On the
+        streaming path it is the buffered chunk list, carried into
+        ``ModifyResponseException.original_response`` for usage reporting.
         """
         if result.terminal_action == "allow":
             if result.modified_data is not None:
@@ -3195,11 +3248,16 @@ class ProxyLogging:
             # dict lookups + llm_router.get_deployment() per callback per chunk.
             _cached_guardrail_data: dict | None = None
             _guardrail_data_computed = False
+            pipeline_managed: Final = (
+                _pipeline_managed_guardrail_names(data, "post_call") if caps.has_guardrail else frozenset()
+            )
 
             for callback in litellm.callbacks:
                 try:
                     _callback: CustomLogger | None = None
                     if isinstance(callback, CustomGuardrail):
+                        if callback.guardrail_name in pipeline_managed:
+                            continue
                         # Main - V2 Guardrails implementation
                         from litellm.types.guardrails import GuardrailEventHooks
 
@@ -3256,12 +3314,17 @@ class ProxyLogging:
         1. /chat/completions
         """
         caps: Final = ProxyLogging._callback_capabilities()
+        post_call_pipelines: Final = tuple(
+            (policy_name, pipeline)
+            for policy_name, pipeline in _policy_pipelines(request_data)
+            if pipeline.mode == "post_call"
+        )
         # Fast path: no real overrides. Internal proxy CustomLogger callbacks
         # (e.g. _PROXY_MaxBudgetLimiter, ManagedFiles) inherit the default
         # ``async for chunk: yield chunk`` body, so wrapping the iterator
         # through each of them adds N pass-through trampolines per chunk for
         # zero behavior change. Skip the chain entirely and stream through.
-        if not caps.iterator_overrides:
+        if not caps.iterator_overrides and not post_call_pipelines:
             try:
                 async for chunk in response:
                     yield chunk
@@ -3281,8 +3344,11 @@ class ProxyLogging:
         current_response = response
         stream_needs_translation: Final = ProxyLogging._stream_requires_guardrail_translation(user_api_key_dict)
 
+        pipeline_managed_names: Final = _pipeline_managed_guardrail_names(request_data, "post_call")
         for resolved_callback, kind in caps.iterator_overrides:
             if isinstance(resolved_callback, CustomGuardrail):
+                if resolved_callback.guardrail_name in pipeline_managed_names:
+                    continue
                 if (
                     resolved_callback.should_run_guardrail(data=request_data, event_type=GuardrailEventHooks.post_call)
                     is not True
@@ -3322,6 +3388,17 @@ class ProxyLogging:
                     ),
                 )
 
+        # Policy pipelines run last, over the fully buffered stream, so a
+        # pipeline verdict covers whatever the flat guardrail chain above
+        # already let through.
+        if post_call_pipelines:
+            current_response = self._pipeline_gated_stream(
+                response=current_response,
+                user_api_key_dict=user_api_key_dict,
+                request_data=request_data,
+                pipelines=post_call_pipelines,
+            )
+
         try:
             async for chunk in current_response:
                 yield chunk
@@ -3337,6 +3414,82 @@ class ProxyLogging:
         # we reach this point the metadata is fully populated.
         ProxyLogging._fire_deferred_stream_logging(request_data)
 
+    async def _pipeline_gated_stream(
+        self,
+        response: "AsyncGenerator[object, None]",
+        user_api_key_dict: UserAPIKeyAuth,
+        request_data: dict,
+        pipelines: "tuple[tuple[str, GuardrailPipeline], ...]",
+    ) -> "AsyncGenerator[Any, None]":
+        """
+        Execute post_call policy pipelines against a streamed response.
+
+        Buffers the whole stream (nothing reaches the client until every
+        pipeline allows it), then runs each pipeline's steps against the
+        assembled output through the endpoint guardrail translation, the same
+        machinery flat post_call guardrails use at end of stream. An allow
+        releases the buffered chunks verbatim; a block or modify_response
+        terminates with the translation's block chunks or the raised error.
+        """
+        from litellm.proxy.guardrails.guardrail_hooks.unified_guardrail.unified_guardrail import (
+            resolve_endpoint_translation,
+        )
+
+        buffered: Final[list[object]] = []  # mutable-ok: accumulates the stream before the pipeline verdict
+        async for item in response:
+            buffered.append(item)
+        if not buffered:
+            return
+
+        resolved: Final = resolve_endpoint_translation(user_api_key_dict, buffered[0])
+        if resolved is None:
+            policy_names: Final = tuple(policy_name for policy_name, _pipeline in pipelines)
+            unresolvable_detail: Final[_PipelineErrorDetail] = {
+                "error": {
+                    "message": (
+                        "Policy pipelines could not govern this streaming response shape; "
+                        f"the response was withheld: {', '.join(policy_names)}."
+                    ),
+                    "type": "guardrail_pipeline_error",
+                    "policies": policy_names,
+                }
+            }
+            raise HTTPException(status_code=500, detail=unresolvable_detail)
+        call_type, endpoint_translation = resolved
+
+        for policy_name, pipeline in pipelines:
+            result: PipelineExecutionResult = await PipelineExecutor.execute_steps(
+                steps=pipeline.steps,
+                mode="post_call",
+                data=request_data,
+                user_api_key_dict=user_api_key_dict,
+                call_type=call_type,
+                policy_name=policy_name,
+                streaming_chunks=buffered,
+                endpoint_translation=endpoint_translation,
+            )
+            try:
+                ProxyLogging._handle_pipeline_result(
+                    result, data=request_data, policy_name=policy_name, original_response=buffered
+                )
+            except ModifyResponseException as e:
+                if e.original_response is None:
+                    e.original_response = buffered
+                async for block_chunk in unified_guardrail.handle_streaming_block(
+                    e, endpoint_translation, stream_started=False, responses_so_far=()
+                ):
+                    yield block_chunk
+                return
+            except HTTPException as e:
+                async for error_chunk in unified_guardrail.emit_streaming_http_error(
+                    e, call_type, buffered, request_data
+                ):
+                    yield error_chunk
+                return
+
+        for buffered_item in buffered:
+            yield buffered_item
+
     @staticmethod
     def _fire_deferred_stream_logging(request_data: dict) -> None:
         """
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/unified_guardrails/test_unified_guardrail.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/unified_guardrails/test_unified_guardrail.py
index 8b9ecfbbeee..fe4acbf8277 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/unified_guardrails/test_unified_guardrail.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/unified_guardrails/test_unified_guardrail.py
@@ -1026,7 +1026,7 @@ class TestStreamingTransform:
         )
 
         emitted = []
-        async for item in handler._emit_streaming_http_error(
+        async for item in handler.emit_streaming_http_error(
             exc,
             call_type=CallTypes.asend_message.value,
             responses_so_far=[{"id": "req-1"}],
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 34a25d75bc0..2b36ae111dc 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1284,7 +1284,8 @@ async def test_pre_call_hook_rejects_streaming_request_with_post_call_pipeline(
         )
 
     assert info.value.status_code == 400
-    assert info.value.detail["error"]["policies"] == ["response-governance"]
+    assert info.value.detail["error"]["policies"] == ("response-governance",)
+    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
     assert "stream=false" in info.value.detail["error"]["message"]
 
 
@@ -1304,7 +1305,7 @@ async def test_pre_call_hook_rejects_background_request_with_post_call_pipeline(
         )
 
     assert info.value.status_code == 400
-    assert info.value.detail["error"]["policies"] == ["response-governance"]
+    assert info.value.detail["error"]["policies"] == ("response-governance",)
     assert "background=false" in info.value.detail["error"]["message"]
 
 
@@ -1333,3 +1334,166 @@ def test_raise_for_streaming_post_call_pipelines_ignores_non_streaming_and_pre_c
     )
     assert _raise_for_streaming_post_call_pipelines({"stream": True}) is None
     assert _raise_for_streaming_post_call_pipelines({"background": True}) is None
+
+
+# ---------------------------------------------------------------------------
+# post_call pipelines on streaming responses
+# ---------------------------------------------------------------------------
+
+
+def _unified_stream_guardrail(seen: Dict[str, Any], block: bool = False) -> CustomGuardrail:
+    class UnifiedStreamGuardrail(CustomGuardrail):
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            seen["count"] = seen.get("count", 0) + 1
+            seen["input_type"] = input_type
+            if block:
+                raise HTTPException(status_code=400, detail={"error": "output blocked"})
+            return inputs
+
+    return UnifiedStreamGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)
+
+
+def _stream_chunks() -> List[Any]:
+    return [
+        litellm.ModelResponseStream(choices=[{"index": 0, "delta": {"content": "hello "}, "finish_reason": None}]),
+        litellm.ModelResponseStream(choices=[{"index": 0, "delta": {"content": "world"}, "finish_reason": "stop"}]),
+    ]
+
+
+async def _async_chunk_iter(chunks: List[Any]):
+    for chunk in chunks:
+        yield chunk
+
+
+@pytest.mark.asyncio
+async def test_pre_call_hook_allows_streaming_when_pipeline_guardrail_supports_unified(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
+    data = _post_call_pipeline_data(stream=True)
+
+    out = await proxy_logging.pre_call_hook(
+        user_api_key_dict=make_user_api_key_auth(),
+        data=data,
+        call_type="completion",
+        guardrails_only=True,
+    )
+
+    assert out is not None
+    assert out.get("stream") is True
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("native_lifecycle", [False, True])
+async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_lacks_unified_support(
+    proxy_logging, make_user_api_key_auth, monkeypatch, native_lifecycle
+):
+    if native_lifecycle:
+
+        class NativeOnlyGuardrail(CustomGuardrail):
+            use_native_lifecycle_hooks = True
+
+            async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+                return inputs
+
+    else:
+
+        class NativeOnlyGuardrail(CustomGuardrail):
+            pass
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [NativeOnlyGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)],
+    )
+    data = _post_call_pipeline_data(stream=True)
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.pre_call_hook(
+            user_api_key_dict=make_user_api_key_auth(),
+            data=data,
+            call_type="completion",
+            guardrails_only=True,
+        )
+
+    assert info.value.status_code == 400
+    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
+    assert "apply_guardrail" in info.value.detail["error"]["message"]
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_allow_releases_buffered_chunks(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+    chunks = _stream_chunks()
+
+    delivered = [
+        item
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        )
+    ]
+
+    assert [id(item) for item in delivered] == [id(chunk) for chunk in chunks]
+    assert seen["count"] == 1
+    assert seen["input_type"] == "response"
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_block_withholds_all_chunks(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen, block=True)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+    delivered: List[Any] = []
+
+    async def _drain() -> None:
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(_stream_chunks()),
+            request_data=data,
+        ):
+            delivered.append(item)
+
+    with pytest.raises(HTTPException) as info:
+        await _drain()
+
+    assert delivered == []
+    assert info.value.status_code == 400
+    assert "output blocked" in str(info.value.detail)
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_withholds_unresolvable_response_shape(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+    delivered: List[Any] = []
+
+    async def _drain() -> None:
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(),
+            response=_async_chunk_iter([object(), object()]),
+            request_data=data,
+        ):
+            delivered.append(item)
+
+    with pytest.raises(HTTPException) as info:
+        await _drain()
+
+    assert delivered == []
+    assert info.value.status_code == 500
+    assert "withheld" in info.value.detail["error"]["message"]
+    assert seen.get("count") is None

From fa5a10941e713968fbe7251a99d867ef0050dd69 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 13:28:11 -0700
Subject: [PATCH 010/223] fix(policy_engine): fail closed on streaming for
 content-rewriting pipeline steps and untranslatable routes

---
 .../unified_guardrail/unified_guardrail.py    |  19 ++-
 litellm/proxy/utils.py                        | 111 ++++++++++++------
 .../proxy_logging/test_guardrail_pipeline.py  |  84 +++++++++++--
 3 files changed, 155 insertions(+), 59 deletions(-)

diff --git a/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py b/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py
index 60b4444e1d4..89527c05eb6 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/unified_guardrail/unified_guardrail.py
@@ -876,6 +876,14 @@ class UnifiedLLMGuardrails(CustomLogger):
         choices: Final = _chunk_choices(item)
         return any(getattr(choice, "finish_reason", None) is not None for choice in choices)
 
+    def resolve_streaming_flag(self, guardrail_to_apply: CustomGuardrail | None, name: str, default: object) -> object:
+        """Streaming flag resolution order (later wins): default < guardrail
+        attribute < guardrail_config dict < this callback's optional_params."""
+        attribute_value: Final = default if guardrail_to_apply is None else getattr(guardrail_to_apply, name, default)
+        config: Final = None if guardrail_to_apply is None else getattr(guardrail_to_apply, "guardrail_config", None)
+        config_value: Final = config.get(name, attribute_value) if isinstance(config, dict) else attribute_value
+        return self.optional_params.get(name, config_value)
+
     async def async_post_call_streaming_iterator_hook(
         self,
         user_api_key_dict: UserAPIKeyAuth,
@@ -906,17 +914,8 @@ class UnifiedLLMGuardrails(CustomLogger):
         if guardrail_to_apply is None:
             guardrail_to_apply = request_data.pop("guardrail_to_apply", None)
 
-        # Get streaming configuration. Resolution order (later wins): default
-        # < guardrail attribute < guardrail_config dict < this callback's
-        # optional_params.
         def _streaming_flag(name: str, default: object) -> Any:
-            value = default
-            if guardrail_to_apply is not None:
-                value = getattr(guardrail_to_apply, name, value)
-                config: Final[Mapping[str, object]] = getattr(guardrail_to_apply, "guardrail_config", {})
-                if isinstance(config, dict):
-                    value = config.get(name, value)
-            return self.optional_params.get(name, value)
+            return self.resolve_streaming_flag(guardrail_to_apply, name, default)
 
         sampling_rate: Final[int] = _streaming_flag("streaming_sampling_rate", 5)
         # Only apply the guardrail at end of stream (not per chunk).
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 5642eb5383e..8b2c38d457f 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -139,6 +139,7 @@ from litellm.proxy.db.token_auth import (
 )
 from litellm.proxy.guardrails.guardrail_hooks.unified_guardrail.unified_guardrail import (
     UnifiedLLMGuardrails,
+    resolve_endpoint_translation,
 )
 from litellm.proxy.hooks import PROXY_HOOKS, get_proxy_hook
 from litellm.proxy.hooks.cache_control_check import _PROXY_CacheControlCheck
@@ -486,11 +487,19 @@ def _merge_pipeline_metadata_writes(data: dict, modified_data: Mapping[str, obje
         _merge_pipeline_metadata_bucket(data, bucket_key, modified_data.get(bucket_key))
 
 
-def _pipeline_step_supports_streaming(guardrail_name: str) -> bool:
+def _pipeline_step_supports_unified_streaming(guardrail_name: str) -> bool:
     callback: Final = PipelineExecutor.find_guardrail_callback(guardrail_name)
     return callback is not None and PipelineExecutor.supports_unified_execution(callback)
 
 
+def _pipeline_step_rewrites_streamed_content(guardrail_name: str) -> bool:
+    callback: Final = PipelineExecutor.find_guardrail_callback(guardrail_name)
+    if callback is None:
+        return False
+    transform_mode: Final = unified_guardrail.resolve_streaming_flag(callback, "streaming_transform_mode", "block_only")
+    return callback.mask_response_content or transform_mode == "incremental_diff"
+
+
 class _PipelineErrorBody(TypedDict):
     message: ReadOnly[str]
     type: ReadOnly[str]
@@ -502,17 +511,20 @@ class _PipelineErrorDetail(TypedDict):
     error: ReadOnly[_PipelineErrorBody]
 
 
-def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object]) -> None:
+def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object], user_api_key_dict: UserAPIKeyAuth) -> None:
     """
     Reject up front the requests whose post_call pipelines could never run.
 
     Background responses skip the post_call hooks entirely, so a pipeline
     governing one would silently never execute. Streaming responses execute
     pipelines against the buffered stream through the endpoint guardrail
-    translations, which requires every step's guardrail to support the unified
-    apply_guardrail interface; steps that cannot (native-lifecycle guardrails,
-    or guardrails not registered at all) keep the 400 rather than letting
-    ungoverned output stream through.
+    translation of the request route, releasing the buffered chunks verbatim
+    on allow. That needs every step's guardrail to support the unified
+    apply_guardrail interface and to only allow or block (a step that rewrites
+    streamed content, via mask_response_content or
+    streaming_transform_mode=incremental_diff, would have its rewrite silently
+    dropped), and needs the route to have a translation at all; anything else
+    keeps the 400 rather than letting ungoverned output stream through.
     """
     is_stream: Final = data.get("stream") is True
     is_background: Final = data.get("background") is True
@@ -536,30 +548,61 @@ def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object]) -> None
             }
         }
         raise HTTPException(status_code=400, detail=background_detail)
-    unsupported_guardrails: Final = tuple(
-        dict.fromkeys(
-            step.guardrail
-            for _policy_name, pipeline in post_call_pipelines
-            for step in pipeline.steps
-            if not _pipeline_step_supports_streaming(step.guardrail)
-        )
+    step_guardrails: Final = tuple(
+        dict.fromkeys(step.guardrail for _policy_name, pipeline in post_call_pipelines for step in pipeline.steps)
     )
-    if not unsupported_guardrails:
+    unsupported_guardrails: Final = tuple(
+        guardrail for guardrail in step_guardrails if not _pipeline_step_supports_unified_streaming(guardrail)
+    )
+    if unsupported_guardrails:
+        unsupported_detail: Final[_PipelineErrorDetail] = {
+            "error": {
+                "message": (
+                    "Policies with post_call guardrail pipelines cannot govern streaming responses "
+                    "because these pipeline guardrails do not support the unified apply_guardrail "
+                    f"interface: {', '.join(unsupported_guardrails)}. Retry with stream=false, or drop "
+                    "them from the pipeline steps so guardrails.add scans them on streamed output."
+                ),
+                "type": "guardrail_pipeline_error",
+                "policies": post_call_policies,
+                "guardrails": unsupported_guardrails,
+            }
+        }
+        raise HTTPException(status_code=400, detail=unsupported_detail)
+    rewriting_guardrails: Final = tuple(
+        guardrail for guardrail in step_guardrails if _pipeline_step_rewrites_streamed_content(guardrail)
+    )
+    if rewriting_guardrails:
+        rewriting_detail: Final[_PipelineErrorDetail] = {
+            "error": {
+                "message": (
+                    "Policies with post_call guardrail pipelines cannot govern streaming responses "
+                    "because these pipeline guardrails rewrite streamed content (mask_response_content "
+                    "or streaming_transform_mode=incremental_diff), which pipeline steps would release "
+                    f"unmodified: {', '.join(rewriting_guardrails)}. Retry with stream=false, or drop "
+                    "them from the pipeline steps so guardrails.add applies them to streamed output."
+                ),
+                "type": "guardrail_pipeline_error",
+                "policies": post_call_policies,
+                "guardrails": rewriting_guardrails,
+            }
+        }
+        raise HTTPException(status_code=400, detail=rewriting_detail)
+    route: Final = user_api_key_dict.request_route
+    if not route or resolve_endpoint_translation(user_api_key_dict, None) is not None:
         return
-    unsupported_detail: Final[_PipelineErrorDetail] = {
+    route_detail: Final[_PipelineErrorDetail] = {
         "error": {
             "message": (
-                "Policies with post_call guardrail pipelines cannot govern streaming responses "
-                "because these pipeline guardrails do not support the unified apply_guardrail "
-                f"interface: {', '.join(unsupported_guardrails)}. Retry with stream=false, or move "
-                "them from pipeline steps to guardrails.add, which scans streamed output."
+                "Policies with post_call guardrail pipelines cannot govern streaming responses on "
+                f"route {route} because it has no endpoint guardrail translation to scan the stream "
+                f"through: {', '.join(post_call_policies)}. Retry with stream=false."
             ),
             "type": "guardrail_pipeline_error",
             "policies": post_call_policies,
-            "guardrails": unsupported_guardrails,
         }
     }
-    raise HTTPException(status_code=400, detail=unsupported_detail)
+    raise HTTPException(status_code=400, detail=route_detail)
 
 
 def _prompt_block_text(block: object) -> str:
@@ -1915,7 +1958,7 @@ class ProxyLogging:
         )
 
         try:
-            _raise_for_streaming_post_call_pipelines(data)
+            _raise_for_streaming_post_call_pipelines(data, user_api_key_dict)
 
             # Execute guardrail pipelines before the normal callback loop
             data, _ = await self._maybe_execute_pipelines(
@@ -3431,10 +3474,6 @@ class ProxyLogging:
         releases the buffered chunks verbatim; a block or modify_response
         terminates with the translation's block chunks or the raised error.
         """
-        from litellm.proxy.guardrails.guardrail_hooks.unified_guardrail.unified_guardrail import (
-            resolve_endpoint_translation,
-        )
-
         buffered: Final[list[object]] = []  # mutable-ok: accumulates the stream before the pipeline verdict
         async for item in response:
             buffered.append(item)
@@ -3444,17 +3483,15 @@ class ProxyLogging:
         resolved: Final = resolve_endpoint_translation(user_api_key_dict, buffered[0])
         if resolved is None:
             policy_names: Final = tuple(policy_name for policy_name, _pipeline in pipelines)
-            unresolvable_detail: Final[_PipelineErrorDetail] = {
-                "error": {
-                    "message": (
-                        "Policy pipelines could not govern this streaming response shape; "
-                        f"the response was withheld: {', '.join(policy_names)}."
-                    ),
-                    "type": "guardrail_pipeline_error",
-                    "policies": policy_names,
-                }
-            }
-            raise HTTPException(status_code=500, detail=unresolvable_detail)
+            raise ProxyException(
+                message=(
+                    "Policy pipelines could not govern this streaming response shape; "
+                    f"the response was withheld: {', '.join(policy_names)}."
+                ),
+                type="guardrail_pipeline_error",
+                param=None,
+                code=500,
+            )
         call_type, endpoint_translation = resolved
 
         for policy_name, pipeline in pipelines:
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 2b36ae111dc..6c90637158e 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -23,6 +23,7 @@ from litellm.integrations.custom_guardrail import (
     ModifyResponseException,
 )
 from litellm.integrations.prometheus import PrometheusLogger
+from litellm.proxy._types import ProxyException
 from litellm.proxy.common_utils.callback_utils import add_guardrail_to_applied_guardrails_header
 from litellm.proxy.utils import ProxyLogging, _raise_for_streaming_post_call_pipelines
 from litellm.types.guardrails import GuardrailEventHooks
@@ -1309,31 +1310,35 @@ async def test_pre_call_hook_rejects_background_request_with_post_call_pipeline(
     assert "background=false" in info.value.detail["error"]["message"]
 
 
-def test_raise_for_streaming_post_call_pipelines_ignores_non_streaming_and_pre_call():
+def test_raise_for_streaming_post_call_pipelines_ignores_non_streaming_and_pre_call(make_user_api_key_auth):
     post_call = GuardrailPipeline(mode="post_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
     pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
+    auth = make_user_api_key_auth(request_route="/custom/stream")
 
     assert (
         _raise_for_streaming_post_call_pipelines(
-            {"stream": False, "metadata": {"_guardrail_pipelines": [("p", post_call)]}}
+            {"stream": False, "metadata": {"_guardrail_pipelines": [("p", post_call)]}}, auth
         )
         is None
     )
     assert (
         _raise_for_streaming_post_call_pipelines(
-            {"background": False, "metadata": {"_guardrail_pipelines": [("p", post_call)]}}
+            {"background": False, "metadata": {"_guardrail_pipelines": [("p", post_call)]}}, auth
         )
         is None
     )
-    assert _raise_for_streaming_post_call_pipelines({"metadata": {"_guardrail_pipelines": [("p", post_call)]}}) is None
+    assert (
+        _raise_for_streaming_post_call_pipelines({"metadata": {"_guardrail_pipelines": [("p", post_call)]}}, auth)
+        is None
+    )
     assert (
         _raise_for_streaming_post_call_pipelines(
-            {"stream": True, "metadata": {"_guardrail_pipelines": [("p", pre_call)]}}
+            {"stream": True, "metadata": {"_guardrail_pipelines": [("p", pre_call)]}}, auth
         )
         is None
     )
-    assert _raise_for_streaming_post_call_pipelines({"stream": True}) is None
-    assert _raise_for_streaming_post_call_pipelines({"background": True}) is None
+    assert _raise_for_streaming_post_call_pipelines({"stream": True}, auth) is None
+    assert _raise_for_streaming_post_call_pipelines({"background": True}, auth) is None
 
 
 # ---------------------------------------------------------------------------
@@ -1366,15 +1371,16 @@ async def _async_chunk_iter(chunks: List[Any]):
 
 
 @pytest.mark.asyncio
+@pytest.mark.parametrize("request_route", [None, "/v1/chat/completions"])
 async def test_pre_call_hook_allows_streaming_when_pipeline_guardrail_supports_unified(
-    proxy_logging, make_user_api_key_auth, monkeypatch
+    proxy_logging, make_user_api_key_auth, monkeypatch, request_route
 ):
     seen: Dict[str, Any] = {}
     monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
     data = _post_call_pipeline_data(stream=True)
 
     out = await proxy_logging.pre_call_hook(
-        user_api_key_dict=make_user_api_key_auth(),
+        user_api_key_dict=make_user_api_key_auth(request_route=request_route),
         data=data,
         call_type="completion",
         guardrails_only=True,
@@ -1422,6 +1428,60 @@ async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_lacks_uni
     assert "apply_guardrail" in info.value.detail["error"]["message"]
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "rewrite_attribute, value",
+    [
+        ("mask_response_content", True),
+        ("streaming_transform_mode", "incremental_diff"),
+        ("guardrail_config", {"streaming_transform_mode": "incremental_diff"}),
+    ],
+)
+async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_rewrites_streamed_content(
+    proxy_logging, make_user_api_key_auth, monkeypatch, rewrite_attribute, value
+):
+    seen: Dict[str, Any] = {}
+    guardrail = _unified_stream_guardrail(seen)
+    setattr(guardrail, rewrite_attribute, value)
+    monkeypatch.setattr(litellm, "callbacks", [guardrail])
+    data = _post_call_pipeline_data(stream=True)
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.pre_call_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            data=data,
+            call_type="completion",
+            guardrails_only=True,
+        )
+
+    assert info.value.status_code == 400
+    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
+    assert "rewrite streamed content" in info.value.detail["error"]["message"]
+    assert seen.get("count") is None
+
+
+@pytest.mark.asyncio
+async def test_pre_call_hook_rejects_streaming_when_route_has_no_guardrail_translation(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
+    data = _post_call_pipeline_data(stream=True)
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.pre_call_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/custom/stream"),
+            data=data,
+            call_type="completion",
+            guardrails_only=True,
+        )
+
+    assert info.value.status_code == 400
+    assert info.value.detail["error"]["policies"] == ("response-governance",)
+    assert "/custom/stream" in info.value.detail["error"]["message"]
+    assert seen.get("count") is None
+
+
 @pytest.mark.asyncio
 async def test_streaming_iterator_hook_pipeline_allow_releases_buffered_chunks(
     proxy_logging, make_user_api_key_auth, monkeypatch
@@ -1490,10 +1550,10 @@ async def test_streaming_iterator_hook_pipeline_withholds_unresolvable_response_
         ):
             delivered.append(item)
 
-    with pytest.raises(HTTPException) as info:
+    with pytest.raises(ProxyException) as info:
         await _drain()
 
     assert delivered == []
-    assert info.value.status_code == 500
-    assert "withheld" in info.value.detail["error"]["message"]
+    assert info.value.code == "500"
+    assert "withheld" in info.value.message
     assert seen.get("count") is None

From 1bed9bae43a7c28e46d6b38d4b58d10d35d87c58 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 13:41:33 -0700
Subject: [PATCH 011/223] chore(policy_engine): drop control-flow comment
 flagged in review

---
 litellm/proxy/utils.py | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 8b2c38d457f..231d4f18aa0 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -3431,9 +3431,6 @@ class ProxyLogging:
                     ),
                 )
 
-        # Policy pipelines run last, over the fully buffered stream, so a
-        # pipeline verdict covers whatever the flat guardrail chain above
-        # already let through.
         if post_call_pipelines:
             current_response = self._pipeline_gated_stream(
                 response=current_response,

From d51198fdeb3ccc7fcf70fbb116f94d8f360ef4d6 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 14:07:34 -0700
Subject: [PATCH 012/223] test(policy_engine): cover streaming pipeline gate
 branches

Adds regression tests for the modify_response block on the Anthropic route,
the gate with no iterator overrides, and the per-chunk hook skipping
pipeline-managed guardrails. Corrects the gate docstring: an allow releases
the chunks as the endpoint translation left them, not verbatim
---
 litellm/proxy/utils.py                        |   7 +-
 .../proxy_logging/test_guardrail_pipeline.py  | 110 ++++++++++++++++++
 2 files changed, 115 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 231d4f18aa0..a64b57c1388 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -3468,8 +3468,11 @@ class ProxyLogging:
         pipeline allows it), then runs each pipeline's steps against the
         assembled output through the endpoint guardrail translation, the same
         machinery flat post_call guardrails use at end of stream. An allow
-        releases the buffered chunks verbatim; a block or modify_response
-        terminates with the translation's block chunks or the raised error.
+        releases the buffered chunks as that machinery left them (the
+        Responses and A2A translations write guardrail output back into the
+        final chunk, exactly as they do for flat guardrails); a block or
+        modify_response terminates with the translation's block chunks or the
+        raised error.
         """
         buffered: Final[list[object]] = []  # mutable-ok: accumulates the stream before the pipeline verdict
         async for item in response:
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 6c90637158e..a258442c79a 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -10,6 +10,7 @@ Covers ``_should_use_guardrail_load_balancing``, ``_execute_guardrail_hook``,
 from __future__ import annotations
 
 import asyncio
+import json
 from typing import Any, Dict, List
 from unittest.mock import AsyncMock, MagicMock, patch
 
@@ -1557,3 +1558,112 @@ async def test_streaming_iterator_hook_pipeline_withholds_unresolvable_response_
     assert info.value.code == "500"
     assert "withheld" in info.value.message
     assert seen.get("count") is None
+
+
+def _anthropic_sse_chunks() -> List[bytes]:
+    events = [
+        ("message_start", {"type": "message_start", "message": {"id": "msg_1", "type": "message", "role": "assistant", "model": "m", "content": [], "stop_reason": None, "usage": {"input_tokens": 1, "output_tokens": 0}}}),
+        ("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}),
+        ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "hello world"}}),
+        ("content_block_stop", {"type": "content_block_stop", "index": 0}),
+        ("message_delta", {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence": None}, "usage": {"output_tokens": 2}}),
+        ("message_stop", {"type": "message_stop"}),
+    ]
+    return [f"event: {name}\ndata: {json.dumps(payload)}\n\n".encode() for name, payload in events]
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_modify_response_emits_translated_block(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen, block=True)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    pipeline = GuardrailPipeline(
+        mode="post_call",
+        steps=[
+            PipelineStep(
+                guardrail="gr-post",
+                on_pass="allow",
+                on_fail="modify_response",
+                modify_response_message="content policy block",
+            )
+        ],
+    )
+    data = _post_call_pipeline_data(stream=True)
+    data["metadata"]["_guardrail_pipelines"] = [("response-governance", pipeline)]
+    chunks = _anthropic_sse_chunks()
+
+    delivered = [
+        item
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/messages"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        )
+    ]
+
+    raw = b"".join(delivered).decode()
+    assert seen["count"] == 1
+    assert "content policy block" in raw
+    assert "hello world" not in raw
+    assert not any(item is chunk for item in delivered for chunk in chunks)
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_gates_without_iterator_overrides(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    monkeypatch.setattr(litellm, "callbacks", [])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+    delivered: List[Any] = []
+
+    async def _drain() -> None:
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(_stream_chunks()),
+            request_data=data,
+        ):
+            delivered.append(item)
+
+    with pytest.raises(HTTPException) as info:
+        await _drain()
+
+    assert delivered == []
+    assert info.value.status_code == 400
+    assert info.value.detail["error"]["pipeline_context"]["step_results"] == [
+        {"guardrail": "gr-post", "outcome": "error", "action": "block"}
+    ]
+
+
+@pytest.mark.asyncio
+async def test_per_chunk_streaming_hook_skips_pipeline_managed_guardrail(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+
+    class RecordingGuardrail(CustomGuardrail):
+        async def async_post_call_streaming_hook(self, user_api_key_dict, response):
+            seen[self.guardrail_name] = seen.get(self.guardrail_name, 0) + 1
+            return None
+
+    managed = RecordingGuardrail(
+        guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=True
+    )
+    free = RecordingGuardrail(
+        guardrail_name="gr-free", event_hook=GuardrailEventHooks.post_call, default_on=True
+    )
+    monkeypatch.setattr(litellm, "callbacks", [managed, free])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    result = await proxy_logging.async_post_call_streaming_hook(
+        data=data,
+        response=_stream_chunks()[0],
+        user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+    )
+
+    assert result is not None
+    assert seen.get("gr-post") is None
+    assert seen["gr-free"] == 1

From 0c1f33dff7084559cf1612a38b5dde4ea0afe9b8 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 14:19:21 -0700
Subject: [PATCH 013/223] fix(policy_engine): fail closed on content filter
 MASK steps for streaming pipelines

A litellm_content_filter step with a MASK action masks chat streams through
its own iterator hook under guardrails.add, which pipeline-managed guardrails
skip, so the pipeline path released the stream unmasked. CustomGuardrail now
declares rewrites_streamed_output (mask_response_content by default, any MASK
action for the content filter) and the upfront streaming check names such
steps in the same 400 it gives mask_response_content and incremental_diff
---
 litellm/integrations/custom_guardrail.py      |  3 ++
 .../litellm_content_filter/content_filter.py  |  7 ++++
 litellm/proxy/utils.py                        | 14 ++++----
 .../content_filter/test_content_filter.py     | 36 +++++++++++++++++++
 .../proxy_logging/test_guardrail_pipeline.py  | 34 +++++++++++++++++-
 5 files changed, 86 insertions(+), 8 deletions(-)

diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py
index 8dc6881d23e..a6e3d000120 100644
--- a/litellm/integrations/custom_guardrail.py
+++ b/litellm/integrations/custom_guardrail.py
@@ -762,6 +762,9 @@ class CustomGuardrail(CustomLogger):
     def uses_apply_guardrail_interface(self) -> bool:
         return type(self).apply_guardrail is not CustomGuardrail.apply_guardrail
 
+    def rewrites_streamed_output(self) -> bool:
+        return self.mask_response_content
+
     def _deployment_pre_call_target(self) -> "CustomLogger":
         if not self.uses_apply_guardrail_interface() or self.use_native_lifecycle_hooks:
             return self
diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
index 722f96ef814..bd31882841e 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
@@ -1947,6 +1947,13 @@ class ContentFilterGuardrail(CustomGuardrail):
                 exception_str=exception_str,
             )
 
+    def rewrites_streamed_output(self) -> bool:
+        return (
+            super().rewrites_streamed_output()
+            or any(entry["action"] == ContentFilterAction.MASK for entry in self.compiled_patterns)
+            or any(action == ContentFilterAction.MASK for action, _ in self.blocked_words.values())
+        )
+
     async def async_post_call_streaming_iterator_hook(
         self,
         user_api_key_dict: UserAPIKeyAuth,
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index a64b57c1388..138f272af42 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -497,7 +497,7 @@ def _pipeline_step_rewrites_streamed_content(guardrail_name: str) -> bool:
     if callback is None:
         return False
     transform_mode: Final = unified_guardrail.resolve_streaming_flag(callback, "streaming_transform_mode", "block_only")
-    return callback.mask_response_content or transform_mode == "incremental_diff"
+    return callback.rewrites_streamed_output() or transform_mode == "incremental_diff"
 
 
 class _PipelineErrorBody(TypedDict):
@@ -518,10 +518,10 @@ def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object], user_ap
     Background responses skip the post_call hooks entirely, so a pipeline
     governing one would silently never execute. Streaming responses execute
     pipelines against the buffered stream through the endpoint guardrail
-    translation of the request route, releasing the buffered chunks verbatim
-    on allow. That needs every step's guardrail to support the unified
-    apply_guardrail interface and to only allow or block (a step that rewrites
-    streamed content, via mask_response_content or
+    translation of the request route, releasing the buffered chunks on allow.
+    That needs every step's guardrail to support the unified apply_guardrail
+    interface and to only allow or block (a step that rewrites streamed
+    content, via mask_response_content, a MASK action, or
     streaming_transform_mode=incremental_diff, would have its rewrite silently
     dropped), and needs the route to have a translation at all; anything else
     keeps the 400 rather than letting ungoverned output stream through.
@@ -577,8 +577,8 @@ def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object], user_ap
             "error": {
                 "message": (
                     "Policies with post_call guardrail pipelines cannot govern streaming responses "
-                    "because these pipeline guardrails rewrite streamed content (mask_response_content "
-                    "or streaming_transform_mode=incremental_diff), which pipeline steps would release "
+                    "because these pipeline guardrails rewrite streamed content (mask_response_content, "
+                    "a MASK action, or streaming_transform_mode=incremental_diff), which pipeline steps would release "
                     f"unmodified: {', '.join(rewriting_guardrails)}. Retry with stream=false, or drop "
                     "them from the pipeline steps so guardrails.add applies them to streamed output."
                 ),
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
index be55ac47bde..ffbedfa43ff 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
@@ -3068,3 +3068,39 @@ class TestContentFilterToolCallArguments:
                 request_data={},
                 input_type="response",
             )
+
+
+class TestRewritesStreamedOutput:
+    def test_block_only_rules_do_not_rewrite(self):
+        guardrail = ContentFilterGuardrail(
+            guardrail_name="cf",
+            patterns=[ContentFilterPattern(pattern_type="prebuilt", pattern_name="us_ssn", action=ContentFilterAction.BLOCK)],
+            blocked_words=[BlockedWord(keyword="kumquat", action=ContentFilterAction.BLOCK)],
+        )
+
+        assert guardrail.rewrites_streamed_output() is False
+
+    def test_mask_blocked_word_rewrites(self):
+        guardrail = ContentFilterGuardrail(
+            guardrail_name="cf",
+            blocked_words=[BlockedWord(keyword="persimmon", action=ContentFilterAction.MASK)],
+        )
+
+        assert guardrail.rewrites_streamed_output() is True
+
+    def test_mask_pattern_rewrites(self):
+        guardrail = ContentFilterGuardrail(
+            guardrail_name="cf",
+            patterns=[ContentFilterPattern(pattern_type="prebuilt", pattern_name="us_ssn", action=ContentFilterAction.MASK)],
+        )
+
+        assert guardrail.rewrites_streamed_output() is True
+
+    def test_mask_response_content_rewrites(self):
+        guardrail = ContentFilterGuardrail(
+            guardrail_name="cf",
+            blocked_words=[BlockedWord(keyword="kumquat", action=ContentFilterAction.BLOCK)],
+            mask_response_content=True,
+        )
+
+        assert guardrail.rewrites_streamed_output() is True
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index a258442c79a..ee0a9a10172 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -27,7 +27,8 @@ from litellm.integrations.prometheus import PrometheusLogger
 from litellm.proxy._types import ProxyException
 from litellm.proxy.common_utils.callback_utils import add_guardrail_to_applied_guardrails_header
 from litellm.proxy.utils import ProxyLogging, _raise_for_streaming_post_call_pipelines
-from litellm.types.guardrails import GuardrailEventHooks
+from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.content_filter import ContentFilterGuardrail
+from litellm.types.guardrails import BlockedWord, ContentFilterAction, GuardrailEventHooks
 from litellm.types.proxy.policy_engine.pipeline_types import (
     GuardrailPipeline,
     PipelineStep,
@@ -1461,6 +1462,37 @@ async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_rewrites_
     assert seen.get("count") is None
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("action, rejected", [(ContentFilterAction.MASK, True), (ContentFilterAction.BLOCK, False)])
+async def test_pre_call_hook_rejects_streaming_only_when_content_filter_step_masks(
+    proxy_logging, make_user_api_key_auth, monkeypatch, action, rejected
+):
+    guardrail = ContentFilterGuardrail(
+        guardrail_name="gr-post",
+        event_hook=GuardrailEventHooks.post_call,
+        blocked_words=[BlockedWord(keyword="persimmon", action=action)],
+    )
+    monkeypatch.setattr(litellm, "callbacks", [guardrail])
+    data = _post_call_pipeline_data(stream=True)
+    user_api_key_dict = make_user_api_key_auth(request_route="/v1/chat/completions")
+
+    if not rejected:
+        out = await proxy_logging.pre_call_hook(
+            user_api_key_dict=user_api_key_dict, data=data, call_type="completion", guardrails_only=True
+        )
+        assert out is not None and out.get("stream") is True
+        return
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.pre_call_hook(
+            user_api_key_dict=user_api_key_dict, data=data, call_type="completion", guardrails_only=True
+        )
+
+    assert info.value.status_code == 400
+    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
+    assert "a MASK action" in info.value.detail["error"]["message"]
+
+
 @pytest.mark.asyncio
 async def test_pre_call_hook_rejects_streaming_when_route_has_no_guardrail_translation(
     proxy_logging, make_user_api_key_auth, monkeypatch

From 90c8031dd76c5565c25b2adfe301a4ce715a6964 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 14:32:35 -0700
Subject: [PATCH 014/223] fix(policy_engine): fail closed on content filter
 category MASK steps for streaming pipelines

---
 .../litellm_content_filter/content_filter.py  |  2 ++
 .../content_filter/test_content_filter.py     | 20 +++++++++++++++++
 .../proxy_logging/test_guardrail_pipeline.py  | 22 +++++++++++++++++++
 3 files changed, 44 insertions(+)

diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
index bd31882841e..85eb50c78e7 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
@@ -1952,6 +1952,8 @@ class ContentFilterGuardrail(CustomGuardrail):
             super().rewrites_streamed_output()
             or any(entry["action"] == ContentFilterAction.MASK for entry in self.compiled_patterns)
             or any(action == ContentFilterAction.MASK for action, _ in self.blocked_words.values())
+            or any(action == ContentFilterAction.MASK for _, _, action in self.category_keywords.values())
+            or any(action == ContentFilterAction.MASK for _, _, action in self.always_block_category_keywords.values())
         )
 
     async def async_post_call_streaming_iterator_hook(
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
index ffbedfa43ff..73020fe3e6f 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
@@ -3104,3 +3104,23 @@ class TestRewritesStreamedOutput:
         )
 
         assert guardrail.rewrites_streamed_output() is True
+
+    @pytest.mark.parametrize("action, expected", [("MASK", True), ("BLOCK", False)])
+    def test_category_keywords_follow_the_category_action(self, action, expected):
+        guardrail = ContentFilterGuardrail(
+            guardrail_name="cf",
+            categories=[{"category": "bias_gender", "enabled": True, "action": action}],
+        )
+
+        assert guardrail.category_keywords and not guardrail.always_block_category_keywords
+        assert guardrail.rewrites_streamed_output() is expected
+
+    @pytest.mark.parametrize("action, expected", [("MASK", True), ("BLOCK", False)])
+    def test_always_block_category_keywords_follow_the_category_action(self, action, expected):
+        guardrail = ContentFilterGuardrail(
+            guardrail_name="cf",
+            categories=[{"category": "age_discrimination", "enabled": True, "action": action}],
+        )
+
+        assert guardrail.always_block_category_keywords and not guardrail.category_keywords
+        assert guardrail.rewrites_streamed_output() is expected
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index ee0a9a10172..895a986f348 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1493,6 +1493,28 @@ async def test_pre_call_hook_rejects_streaming_only_when_content_filter_step_mas
     assert "a MASK action" in info.value.detail["error"]["message"]
 
 
+@pytest.mark.asyncio
+async def test_pre_call_hook_rejects_streaming_when_content_filter_category_masks(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    guardrail = ContentFilterGuardrail(
+        guardrail_name="gr-post",
+        event_hook=GuardrailEventHooks.post_call,
+        categories=[{"category": "bias_gender", "enabled": True, "action": "MASK"}],
+    )
+    monkeypatch.setattr(litellm, "callbacks", [guardrail])
+    data = _post_call_pipeline_data(stream=True)
+    user_api_key_dict = make_user_api_key_auth(request_route="/v1/chat/completions")
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.pre_call_hook(
+            user_api_key_dict=user_api_key_dict, data=data, call_type="completion", guardrails_only=True
+        )
+
+    assert info.value.status_code == 400
+    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
+
+
 @pytest.mark.asyncio
 async def test_pre_call_hook_rejects_streaming_when_route_has_no_guardrail_translation(
     proxy_logging, make_user_api_key_auth, monkeypatch

From 2247fbc66df9769c3e3661b457b0b132513c1bd5 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 15:44:08 -0700
Subject: [PATCH 015/223] fix(policy_engine): withhold streams when a pipeline
 guardrail rewrites output at runtime

---
 .../proxy/policy_engine/pipeline_executor.py  | 114 +++++++++++++++---
 litellm/proxy/utils.py                        |  60 ++++++---
 .../policy_engine/test_pipeline_executor.py   |  63 +++++++++-
 .../proxy_logging/test_guardrail_pipeline.py  | 103 +++++++++++++++-
 4 files changed, 302 insertions(+), 38 deletions(-)

diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index c422a7c0964..acd2c2c973a 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -6,8 +6,11 @@ pass/fail actions (allow, block, next, modify_response) and data forwarding.
 """
 
 import time
+from collections.abc import Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Final, Literal
 
+from pydantic import BaseModel
+
 import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.integrations.custom_guardrail import (
@@ -24,8 +27,10 @@ from litellm.types.proxy.policy_engine.pipeline_types import (
     PipelineStep,
     PipelineStepResult,
 )
+from litellm.types.utils import GenericGuardrailAPIInputs
 
 if TYPE_CHECKING:
+    from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
     from litellm.llms.base_llm.guardrail_translation.base_translation import (
         BaseTranslation,
     )
@@ -36,6 +41,90 @@ except ImportError:
     HTTPException = None
 
 
+class UndeliverableStreamRewrite(Exception):
+    def __init__(self, guardrail_name: str) -> None:
+        super().__init__(
+            f"Guardrail '{guardrail_name}' rewrote the streamed response, which streaming pipelines cannot deliver"
+        )
+        self.guardrail_name: Final = guardrail_name
+
+
+def _tool_call_shape(tool_call: object) -> tuple[object, object]:
+    plain: Final = tool_call.model_dump() if isinstance(tool_call, BaseModel) else tool_call
+    function: Final = plain.get("function") if isinstance(plain, Mapping) else None
+    if not isinstance(function, Mapping):
+        return (None, None)
+    return (function.get("name"), function.get("arguments"))
+
+
+def _rewrote_texts(sent: Sequence[str] | None, returned: Sequence[str] | None) -> bool:
+    return sent is not None and returned is not None and list(returned) != list(sent)
+
+
+def _rewrote_tool_calls(sent: Sequence[object] | None, returned: Sequence[object] | None) -> bool:
+    if sent is None or returned is None:
+        return False
+    return [_tool_call_shape(tool_call) for tool_call in returned] != [
+        _tool_call_shape(tool_call) for tool_call in sent
+    ]
+
+
+class _StreamRewriteObserver(CustomGuardrail):
+    """Stand-in handed to the endpoint translation in place of a streaming pipeline step's
+    guardrail. Translations cannot rewrite every buffered chunk consistently, so the gate
+    withholds the stream whenever the guardrail returned different output than it was given,
+    which for guardrails like Bedrock's ANONYMIZED action is only known at runtime."""
+
+    def __init__(self, inner: CustomGuardrail) -> None:
+        super().__init__(guardrail_name=inner.guardrail_name)
+        self.inner: Final = inner
+        self.rewrote = False
+
+    def structured_messages_cover_full_request(self) -> bool:
+        return self.inner.structured_messages_cover_full_request()
+
+    async def apply_guardrail(
+        self,
+        inputs: GenericGuardrailAPIInputs,
+        request_data: dict,  # mutable-ok: matches CustomGuardrail.apply_guardrail
+        input_type: Literal["request", "response"],
+        logging_obj: "LiteLLMLoggingObj | None" = None,
+    ) -> GenericGuardrailAPIInputs:
+        outputs: Final = await self.inner.apply_guardrail(
+            inputs=inputs, request_data=request_data, input_type=input_type, logging_obj=logging_obj
+        )
+        self.rewrote = (
+            self.rewrote
+            or _rewrote_texts(inputs.get("texts"), outputs.get("texts"))
+            or _rewrote_tool_calls(inputs.get("tool_calls"), outputs.get("tool_calls"))
+        )
+        return outputs
+
+
+def _prepare_hook_input(
+    step: PipelineStep,
+    callback: CustomLogger,
+    data: dict,  # mutable-ok: same request-payload shape the hooks mutate
+    raw_request_snapshot: dict | None,  # mutable-ok: same request-payload shape as data
+) -> tuple[dict, bool]:  # mutable-ok: returns that same request-payload dict
+    """Inject the step's guardrail name into metadata so should_run_guardrail() allows it,
+    and pick the payload the step scans: a scan_raw_request step evaluates the pristine
+    pre-pipeline snapshot instead of `data` (which earlier pass_data steps in this same
+    pipeline may have already rewritten), same reason the normal sequential/parallel
+    guardrail loops do this."""
+    if "metadata" not in data:
+        data["metadata"] = {}
+    data["metadata"]["guardrails"] = [step.guardrail]
+
+    scans_raw_request: Final = getattr(callback, "scan_raw_request", False)
+    hook_input: Final[dict] = (  # mutable-ok: same request-payload shape as data
+        independent_snapshot(raw_request_snapshot) if scans_raw_request and raw_request_snapshot is not None else data
+    )
+    if hook_input is not data:
+        hook_input.setdefault("metadata", {})["guardrails"] = [step.guardrail]
+    return hook_input, scans_raw_request
+
+
 class PipelineExecutor:
     """Executes guardrail pipelines with ordered, conditional step logic."""
 
@@ -195,23 +284,7 @@ class PipelineExecutor:
             return ("error", None, f"Guardrail '{step.guardrail}' not found", None)
 
         try:
-            # Inject guardrail name into metadata so should_run_guardrail() allows it
-            if "metadata" not in data:
-                data["metadata"] = {}
-            data["metadata"]["guardrails"] = [step.guardrail]
-
-            # A scan_raw_request step evaluates the pristine pre-pipeline
-            # snapshot instead of `data` (which earlier pass_data steps in
-            # this same pipeline may have already rewritten), same reason
-            # the normal sequential/parallel guardrail loops do this.
-            scans_raw_request: Final = getattr(callback, "scan_raw_request", False)
-            hook_input: Final[dict] = (  # mutable-ok: same request-payload shape as data
-                independent_snapshot(raw_request_snapshot)
-                if scans_raw_request and raw_request_snapshot is not None
-                else data
-            )
-            if hook_input is not data:
-                hook_input.setdefault("metadata", {})["guardrails"] = [step.guardrail]
+            hook_input, scans_raw_request = _prepare_hook_input(step, callback, data, raw_request_snapshot)
 
             # Use unified_guardrail path if callback implements apply_guardrail
             target: CustomLogger = callback
@@ -239,13 +312,16 @@ class PipelineExecutor:
                         f"Guardrail '{step.guardrail}' does not support streaming pipeline execution",
                         None,
                     )
+                observer: Final = _StreamRewriteObserver(callback)
                 await endpoint_translation.process_output_streaming_response(
                     responses_so_far=streaming_chunks,
-                    guardrail_to_apply=callback,
+                    guardrail_to_apply=observer,
                     litellm_logging_obj=data.get("litellm_logging_obj"),
                     user_api_key_dict=user_api_key_dict,
                     request_data=hook_input,
                 )
+                if observer.rewrote:
+                    raise UndeliverableStreamRewrite(step.guardrail)
                 response = None
             elif mode == "post_call":
                 response = await target.async_post_call_success_hook(
@@ -269,6 +345,8 @@ class PipelineExecutor:
                 return ("pass", {"response": response}, None, None)
             return ("pass", response if isinstance(response, dict) else None, None, None)
 
+        except UndeliverableStreamRewrite:
+            raise
         except Exception as e:
             if CustomGuardrail._is_guardrail_intervention(e):
                 error_msg: Final = _extract_error_message(e)
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 138f272af42..6c990222e51 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -155,7 +155,7 @@ from litellm.proxy.hooks.sensitive_data_routing import (
 )
 from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup
 from litellm.proxy.management_helpers.key_settings_audit import with_settings_updated_at
-from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor
+from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor, UndeliverableStreamRewrite
 from litellm.repositories.budget_repository import BudgetRepository
 from litellm.repositories.config_repository import ConfigRepository
 from litellm.repositories.table_repositories import (
@@ -511,6 +511,23 @@ class _PipelineErrorDetail(TypedDict):
     error: ReadOnly[_PipelineErrorBody]
 
 
+def _undeliverable_stream_rewrite_error(policy_name: str, guardrail_name: str) -> HTTPException:
+    detail: Final[_PipelineErrorDetail] = {
+        "error": {
+            "message": (
+                f"Streaming response withheld by policy pipeline '{policy_name}' because guardrail "
+                f"'{guardrail_name}' rewrote the streamed output, and streaming pipelines cannot deliver "
+                "rewrites. Retry with stream=false, or drop it from the pipeline steps so guardrails.add "
+                "applies it to streamed output."
+            ),
+            "type": "guardrail_pipeline_error",
+            "policies": (policy_name,),
+            "guardrails": (guardrail_name,),
+        }
+    }
+    return HTTPException(status_code=400, detail=detail)
+
+
 def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object], user_api_key_dict: UserAPIKeyAuth) -> None:
     """
     Reject up front the requests whose post_call pipelines could never run.
@@ -3468,11 +3485,12 @@ class ProxyLogging:
         pipeline allows it), then runs each pipeline's steps against the
         assembled output through the endpoint guardrail translation, the same
         machinery flat post_call guardrails use at end of stream. An allow
-        releases the buffered chunks as that machinery left them (the
-        Responses and A2A translations write guardrail output back into the
-        final chunk, exactly as they do for flat guardrails); a block or
-        modify_response terminates with the translation's block chunks or the
-        raised error.
+        releases the buffered chunks verbatim; a step whose guardrail rewrote
+        the output withholds the stream with a 400 instead, since no
+        translation rewrites every buffered chunk consistently and some
+        rewrites (Bedrock's ANONYMIZED action, for one) are only decided at
+        runtime; a block or modify_response terminates with the translation's
+        block chunks or the raised error.
         """
         buffered: Final[list[object]] = []  # mutable-ok: accumulates the stream before the pipeline verdict
         async for item in response:
@@ -3495,16 +3513,26 @@ class ProxyLogging:
         call_type, endpoint_translation = resolved
 
         for policy_name, pipeline in pipelines:
-            result: PipelineExecutionResult = await PipelineExecutor.execute_steps(
-                steps=pipeline.steps,
-                mode="post_call",
-                data=request_data,
-                user_api_key_dict=user_api_key_dict,
-                call_type=call_type,
-                policy_name=policy_name,
-                streaming_chunks=buffered,
-                endpoint_translation=endpoint_translation,
-            )
+            try:
+                result: PipelineExecutionResult = await PipelineExecutor.execute_steps(
+                    steps=pipeline.steps,
+                    mode="post_call",
+                    data=request_data,
+                    user_api_key_dict=user_api_key_dict,
+                    call_type=call_type,
+                    policy_name=policy_name,
+                    streaming_chunks=buffered,
+                    endpoint_translation=endpoint_translation,
+                )
+            except UndeliverableStreamRewrite as rewrite:
+                async for error_chunk in unified_guardrail.emit_streaming_http_error(
+                    _undeliverable_stream_rewrite_error(policy_name, rewrite.guardrail_name),
+                    call_type,
+                    buffered,
+                    request_data,
+                ):
+                    yield error_chunk
+                return
             try:
                 ProxyLogging._handle_pipeline_result(
                     result, data=request_data, policy_name=policy_name, original_response=buffered
diff --git a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
index 054a5af4148..52fd8777a19 100644
--- a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
+++ b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
@@ -13,7 +13,7 @@ from litellm.integrations.custom_guardrail import CustomGuardrail
 from litellm.proxy.guardrails.guardrail_hooks.custom_code.custom_code_guardrail import (
     CustomCodeGuardrail,
 )
-from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor
+from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor, UndeliverableStreamRewrite
 from litellm.types.proxy.policy_engine.pipeline_types import (
     GuardrailPipeline,
     PipelineStep,
@@ -811,3 +811,64 @@ async def test_pipeline_step_keeps_native_hook_when_opted_out(monkeypatch):
     assert outcome == "pass"
     assert guardrail.native_pre_call_ran is True
     assert "guardrail_to_apply" not in data
+
+
+class _TextReturningGuardrail(CustomGuardrail):
+    def __init__(self, returned_texts):
+        super().__init__(guardrail_name="masker", event_hook="post_call", default_on=True)
+        self.returned_texts = returned_texts
+
+    async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+        return {**inputs, "texts": self.returned_texts}
+
+
+class _TextTranslation:
+    def __init__(self):
+        self.seen_guardrail_names = []
+
+    async def process_output_streaming_response(
+        self, responses_so_far, guardrail_to_apply, litellm_logging_obj=None, user_api_key_dict=None, request_data=None
+    ):
+        self.seen_guardrail_names.append(guardrail_to_apply.guardrail_name)
+        await guardrail_to_apply.apply_guardrail(
+            inputs={"texts": ["hello world"]},
+            request_data=request_data or {},
+            input_type="response",
+            logging_obj=litellm_logging_obj,
+        )
+        return responses_so_far
+
+
+async def _run_streaming_step(returned_texts, translation):
+    return await PipelineExecutor.execute_steps(
+        steps=[PipelineStep(guardrail="masker", on_pass="allow", on_fail="next", on_error="next")],
+        mode="post_call",
+        data={"model": "m"},
+        user_api_key_dict=MagicMock(),
+        call_type="completion",
+        policy_name="p",
+        streaming_chunks=[object()],
+        endpoint_translation=translation,
+    )
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_rewrite_escapes_execute_steps_regardless_of_step_actions(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [_TextReturningGuardrail(["hello [MASKED]"])])
+    translation = _TextTranslation()
+
+    with pytest.raises(UndeliverableStreamRewrite) as info:
+        await _run_streaming_step(["hello [MASKED]"], translation)
+
+    assert info.value.guardrail_name == "masker"
+    assert translation.seen_guardrail_names == ["masker"]
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_unchanged_texts_in_another_container_allow(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [_TextReturningGuardrail(("hello world",))])
+
+    result = await _run_streaming_step(("hello world",), _TextTranslation())
+
+    assert result.terminal_action == "allow"
+    assert [step.outcome for step in result.step_results] == ["pass"]
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 895a986f348..74bd2e483cc 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -11,7 +11,7 @@ from __future__ import annotations
 
 import asyncio
 import json
-from typing import Any, Dict, List
+from typing import Any, Callable, Dict, List
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
@@ -878,10 +878,12 @@ async def test_process_prompt_template_aresponses_swaps_model_and_merges_input(p
 # ---------------------------------------------------------------------------
 
 
-def _post_call_pipeline_data(guardrail: str = "gr-post", **extra: Any) -> Dict[str, Any]:
+def _post_call_pipeline_data(
+    guardrail: str = "gr-post", step: PipelineStep | None = None, **extra: Any
+) -> Dict[str, Any]:
     pipeline = GuardrailPipeline(
         mode="post_call",
-        steps=[PipelineStep(guardrail=guardrail, on_pass="allow", on_fail="block")],
+        steps=[step or PipelineStep(guardrail=guardrail, on_pass="allow", on_fail="block")],
     )
     return {
         "model": "m",
@@ -1587,6 +1589,101 @@ async def test_streaming_iterator_hook_pipeline_block_withholds_all_chunks(
     assert "output blocked" in str(info.value.detail)
 
 
+def _rewriting_stream_guardrail(transform: Callable[[Dict[str, Any]], Dict[str, Any]]) -> CustomGuardrail:
+    class RewritingStreamGuardrail(CustomGuardrail):
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            return {**inputs, **transform(inputs)}
+
+    return RewritingStreamGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)
+
+
+def _tool_call_stream_chunks() -> List[Any]:
+    tool_call = {
+        "index": 0,
+        "id": "call_1",
+        "type": "function",
+        "function": {"name": "lookup", "arguments": '{"ssn": "123"}'},
+    }
+    return [
+        litellm.ModelResponseStream(
+            choices=[{"index": 0, "delta": {"tool_calls": [tool_call]}, "finish_reason": None}]
+        ),
+        litellm.ModelResponseStream(choices=[{"index": 0, "delta": {}, "finish_reason": "tool_calls"}]),
+    ]
+
+
+def _echoed_tool_call_dicts(arguments: str) -> List[Dict[str, Any]]:
+    return [{"id": "call_1", "type": "function", "function": {"name": "lookup", "arguments": arguments}}]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("on_fail, on_error", [("block", None), ("next", "next")])
+@pytest.mark.parametrize(
+    "make_chunks, transform",
+    [
+        (_stream_chunks, lambda inputs: {"texts": ["hello [MASKED]"]}),
+        (_tool_call_stream_chunks, lambda inputs: {"tool_calls": _echoed_tool_call_dicts('{"ssn": "[MASKED]"}')}),
+    ],
+    ids=["texts", "tool_calls"],
+)
+async def test_streaming_iterator_hook_pipeline_withholds_runtime_rewrite(
+    proxy_logging, make_user_api_key_auth, monkeypatch, make_chunks, transform, on_fail, on_error
+):
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(transform)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    step = PipelineStep(guardrail="gr-post", on_pass="allow", on_fail=on_fail, on_error=on_error)
+    data = _post_call_pipeline_data(step=step, stream=True)
+    delivered: List[Any] = []
+
+    async def _drain() -> None:
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(make_chunks()),
+            request_data=data,
+        ):
+            delivered.append(item)
+
+    with pytest.raises(HTTPException) as info:
+        await _drain()
+
+    error = info.value.detail["error"]
+    assert delivered == []
+    assert info.value.status_code == 400
+    assert error["type"] == "guardrail_pipeline_error"
+    assert error["policies"] == ("response-governance",)
+    assert error["guardrails"] == ("gr-post",)
+    assert "stream=false" in error["message"]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "make_chunks, transform",
+    [
+        (_stream_chunks, lambda inputs: {"texts": tuple(inputs["texts"])}),
+        (_tool_call_stream_chunks, lambda inputs: {"tool_calls": _echoed_tool_call_dicts('{"ssn": "123"}')}),
+    ],
+    ids=["texts_as_tuple", "tool_calls_as_dicts"],
+)
+async def test_streaming_iterator_hook_pipeline_releases_stream_echoed_in_another_shape(
+    proxy_logging, make_user_api_key_auth, monkeypatch, make_chunks, transform
+):
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(transform)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+    chunks = make_chunks()
+
+    delivered = [
+        item
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        )
+    ]
+
+    assert [id(item) for item in delivered] == [id(chunk) for chunk in chunks]
+
+
 @pytest.mark.asyncio
 async def test_streaming_iterator_hook_pipeline_withholds_unresolvable_response_shape(
     proxy_logging, make_user_api_key_auth, monkeypatch

From badefa395cbfea283e2bac3d7ba545638a0792d0 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 21:30:31 -0700
Subject: [PATCH 016/223] fix(policy_engine): snapshot guardrail inputs before
 apply_guardrail so in-place stream rewrites are withheld

---
 .../proxy/policy_engine/pipeline_executor.py  | 22 ++++++++++---------
 .../policy_engine/test_pipeline_executor.py   | 22 +++++++++++++++++++
 2 files changed, 34 insertions(+), 10 deletions(-)

diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index 21f3aca3f58..4c192a50096 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -57,16 +57,16 @@ def _tool_call_shape(tool_call: object) -> tuple[object, object]:
     return (function.get("name"), function.get("arguments"))
 
 
-def _rewrote_texts(sent: Sequence[str] | None, returned: Sequence[str] | None) -> bool:
-    return sent is not None and returned is not None and tuple(returned) != tuple(sent)
+def _text_snapshot(texts: Sequence[str] | None) -> tuple[str, ...] | None:
+    return None if texts is None else tuple(texts)
 
 
-def _rewrote_tool_calls(sent: Sequence[object] | None, returned: Sequence[object] | None) -> bool:
-    if sent is None or returned is None:
-        return False
-    return tuple(_tool_call_shape(tool_call) for tool_call in returned) != tuple(
-        _tool_call_shape(tool_call) for tool_call in sent
-    )
+def _tool_call_shapes(tool_calls: Sequence[object] | None) -> tuple[tuple[object, object], ...] | None:
+    return None if tool_calls is None else tuple(_tool_call_shape(tool_call) for tool_call in tool_calls)
+
+
+def _rewrote(sent: tuple[object, ...] | None, returned: tuple[object, ...] | None) -> bool:
+    return sent is not None and returned is not None and returned != sent
 
 
 class _StreamRewriteObserver(CustomGuardrail):
@@ -90,13 +90,15 @@ class _StreamRewriteObserver(CustomGuardrail):
         input_type: Literal["request", "response"],
         logging_obj: "LiteLLMLoggingObj | None" = None,
     ) -> GenericGuardrailAPIInputs:
+        sent_texts: Final = _text_snapshot(inputs.get("texts"))
+        sent_tool_shapes: Final = _tool_call_shapes(inputs.get("tool_calls"))
         outputs: Final = await self.inner.apply_guardrail(
             inputs=inputs, request_data=request_data, input_type=input_type, logging_obj=logging_obj
         )
         self.rewrote = (
             self.rewrote
-            or _rewrote_texts(inputs.get("texts"), outputs.get("texts"))
-            or _rewrote_tool_calls(inputs.get("tool_calls"), outputs.get("tool_calls"))
+            or _rewrote(sent_texts, _text_snapshot(outputs.get("texts")))
+            or _rewrote(sent_tool_shapes, _tool_call_shapes(outputs.get("tool_calls")))
         )
         return outputs
 
diff --git a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
index 52fd8777a19..ef5d206f1d8 100644
--- a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
+++ b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
@@ -872,3 +872,25 @@ async def test_streaming_step_unchanged_texts_in_another_container_allow(monkeyp
 
     assert result.terminal_action == "allow"
     assert [step.outcome for step in result.step_results] == ["pass"]
+
+
+class _InPlaceMutatingGuardrail(CustomGuardrail):
+    """Rewrites like bedrock/presidio do: rebinds inputs["texts"] on the dict it was handed
+    and returns that same dict, so a post-call comparison against inputs sees no change."""
+
+    def __init__(self):
+        super().__init__(guardrail_name="masker", event_hook="post_call", default_on=True)
+
+    async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+        inputs["texts"] = ["hello [MASKED]"]
+        return inputs
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_in_place_rewrite_still_withholds_stream(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [_InPlaceMutatingGuardrail()])
+
+    with pytest.raises(UndeliverableStreamRewrite) as info:
+        await _run_streaming_step(["hello [MASKED]"], _TextTranslation())
+
+    assert info.value.guardrail_name == "masker"

From bcee01a7a7a3a29c5f6e54a0045ff3688d2dbdef Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 21:52:52 -0700
Subject: [PATCH 017/223] fix(policy_engine): merge guardrail metadata writes
 back on block and modify_response so failure spend records keep guardrail
 cost and status

---
 .../proxy/policy_engine/pipeline_executor.py  |  2 +
 litellm/proxy/utils.py                        |  7 +++-
 .../proxy_logging/test_guardrail_pipeline.py  | 38 +++++++++++++++++++
 3 files changed, 46 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index 4c192a50096..0c3ceb53707 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -236,6 +236,7 @@ class PipelineExecutor:
                     step_results=step_results,
                     error_message=error_detail,
                     original_exception=original_exception,
+                    modified_data=working_data if working_data != data else None,
                 )
 
             if action == "modify_response":
@@ -243,6 +244,7 @@ class PipelineExecutor:
                     terminal_action="modify_response",
                     step_results=step_results,
                     modify_response_message=step.modify_response_message or error_detail,
+                    modified_data=working_data if working_data != data else None,
                 )
 
             # action == "next" → continue to next step
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index f9d018bc452..dbcea834d50 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -1838,7 +1838,9 @@ class ProxyLogging:
         payload (already sent upstream) must stay untouched; a replacement
         response carried in ``modified_data`` is adopted by the caller, and
         metadata-bucket writes (applied guardrails, guardrail logging info)
-        are merged back so headers and spend logs still see them. On the
+        are merged back so headers and spend logs still see them, on block
+        and modify_response too, so failure spend records keep guardrail
+        cost and status. On the
         streaming path it is the buffered chunk list, carried into
         ``ModifyResponseException.original_response`` for usage reporting.
         """
@@ -1850,6 +1852,9 @@ class ProxyLogging:
                     _merge_pipeline_metadata_writes(data, result.modified_data)
             return data
 
+        if result.modified_data is not None:
+            _merge_pipeline_metadata_writes(data, result.modified_data)
+
         if result.terminal_action == "block":
             original_exception: Final = result.original_exception
             if original_exception is not None and not _exception_changes_request_flow(original_exception):
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 74bd2e483cc..d9b3578c966 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1197,6 +1197,44 @@ async def test_post_call_pipeline_guardrail_metadata_writes_reach_request_data(
     assert slg_entries[0]["guardrail_name"] == "gr-post"
 
 
+@pytest.mark.asyncio
+async def test_post_call_pipeline_block_keeps_guardrail_metadata_writes(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    class BlockingWriterGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            add_guardrail_to_applied_guardrails_header(request_data=data, guardrail_name="gr-post")
+            self.add_standard_logging_guardrail_information_to_request_data(
+                guardrail_json_response={"verdict": "fail"},
+                request_data=data,
+                guardrail_status="guardrail_intervened",
+            )
+            raise HTTPException(status_code=400, detail={"error": "output blocked"})
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [
+            BlockingWriterGuardrail(
+                guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False
+            )
+        ],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data()
+
+    with pytest.raises(HTTPException):
+        await proxy_logging.post_call_success_hook(
+            data=data, response=litellm.ModelResponse(), user_api_key_dict=make_user_api_key_auth()
+        )
+
+    assert data["metadata"]["applied_guardrails"] == ["gr-post"]
+    slg_entries = data["metadata"]["standard_logging_guardrail_information"]
+    assert len(slg_entries) == 1
+    assert slg_entries[0]["guardrail_name"] == "gr-post"
+    assert slg_entries[0]["guardrail_status"] == "guardrail_intervened"
+
+
 @pytest.mark.asyncio
 async def test_post_call_pipeline_managed_parallel_guardrail_runs_exactly_once(
     proxy_logging, make_user_api_key_auth, monkeypatch

From 673d1743a66363022777f0b3b261142ef77964ab Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 29 Aug 2026 22:12:59 -0700
Subject: [PATCH 018/223] fix(policy_engine): apply post_call pipeline text
 rewrites on streams

Buffered streams governed by post_call policy pipelines now deliver text
rewrites back into the stream per surface (chat SSE, responses SSE,
anthropic messages SSE) instead of rejecting the request with a 400
upfront. Rewrites chain across pipeline steps; tool-call rewrites and
translations without stream write-back still withhold the stream.
---
 .../chat/guardrail_translation/handler.py     |  74 +++++-
 .../guardrail_translation/base_translation.py |  15 +-
 .../chat/guardrail_translation/handler.py     |  91 ++++++-
 .../guardrail_translation/handler.py          |  83 ++++++-
 .../proxy/policy_engine/pipeline_executor.py  |  90 +++++--
 litellm/proxy/utils.py                        |  61 ++---
 .../test_anthropic_guardrail_handler.py       |  65 +++++
 .../test_openai_guardrail_handler.py          |  55 +++++
 ...test_openai_responses_guardrail_handler.py |  83 +++++++
 .../policy_engine/test_pipeline_executor.py   |   2 +
 .../proxy_logging/test_guardrail_pipeline.py  | 222 ++++++++++++++----
 11 files changed, 711 insertions(+), 130 deletions(-)

diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
index b9ca18c7843..89c8431dfe4 100644
--- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py
+++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
@@ -13,9 +13,10 @@ Pattern Overview:
 """
 
 import json
-from collections.abc import Mapping, Sequence
+from collections.abc import Iterator, Mapping, Sequence
 from copy import deepcopy
 from dataclasses import dataclass
+from itertools import chain, repeat
 from typing import TYPE_CHECKING, Any, Final, cast
 
 from typing_extensions import assert_never
@@ -120,6 +121,8 @@ class AnthropicMessagesHandler(BaseTranslation):
     them through guardrail rewrites; downstream provider handling is out of scope.
     """
 
+    delivers_ended_stream_text_rewrites = True
+
     def __init__(self):
         super().__init__()
         self.adapter = LiteLLMAnthropicMessagesAdapter()
@@ -931,11 +934,14 @@ class AnthropicMessagesHandler(BaseTranslation):
         litellm_logging_obj: "LiteLLMLoggingObj | None" = None,
         user_api_key_dict: "UserAPIKeyAuth | None" = None,
         request_data: dict | None = None,
+        deliver_ended_stream_rewrites: bool = False,
     ) -> list[Any]:
         """
         Process output streaming response by applying guardrails to text content.
 
         Get the string so far, check the apply guardrail to the string so far, and return the list of responses so far.
+        With ``deliver_ended_stream_rewrites``, an ended stream whose guardrail rewrote the text gets the rewrite
+        written back across the buffered chunks (full rewritten text in the first ``text_delta``, the rest blanked).
         """
         from litellm.integrations.custom_guardrail import ModifyResponseException
 
@@ -982,6 +988,15 @@ class AnthropicMessagesHandler(BaseTranslation):
                             responses_so_far, request_data
                         )
                     raise
+                guardrailed_texts: Final = _guardrailed_inputs.get("texts")
+                if (
+                    deliver_ended_stream_rewrites
+                    and isinstance(string_so_far, str)
+                    and string_so_far
+                    and guardrailed_texts
+                    and guardrailed_texts[0] != string_so_far
+                ):
+                    self._write_ended_stream_text_rewrite(responses_so_far, guardrailed_texts[0])
             else:
                 verbose_proxy_logger.debug("Skipping output guardrail - model response has no choices")
             return responses_so_far
@@ -1093,6 +1108,63 @@ class AnthropicMessagesHandler(BaseTranslation):
             inputs["model"] = response_model
         return inputs
 
+    @staticmethod
+    def _write_ended_stream_text_rewrite(
+        responses_so_far: list[Any],  # mutable-ok: rewrites the caller's buffered chunks in place
+        rewritten_text: str,
+    ) -> None:
+        """Deliver an ended-stream guardrail text rewrite by rewriting the
+        buffered chunks in place: the first ``text_delta`` carries the full
+        rewritten text and every later one is blanked, leaving the surrounding
+        message and content-block framing untouched. Handles both chunk formats
+        this stream carries (parsed event dicts and raw SSE bytes)."""
+        replacements: Final = chain((rewritten_text,), repeat(""))
+        for idx, item in enumerate(responses_so_far):
+            if isinstance(item, dict):
+                delta = item.get("delta")
+                if item.get("type") == "content_block_delta" and isinstance(delta, dict):
+                    if delta.get("type") == "text_delta":
+                        delta["text"] = next(replacements)
+            elif isinstance(item, (bytes, bytearray)):
+                responses_so_far[idx] = (  # rebind-ok: delivers the rewrite into the caller's buffer
+                    AnthropicMessagesHandler._rewrite_sse_text_deltas(bytes(item), replacements)
+                )
+
+    @staticmethod
+    def _rewrite_sse_text_deltas(sse_bytes: bytes, replacements: "Iterator[str]") -> bytes:
+        """Rewrite every ``text_delta`` data line in one SSE chunk with the next
+        replacement text, leaving all other events and framing byte-identical."""
+        try:
+            decoded: Final = sse_bytes.decode("utf-8")
+        except UnicodeDecodeError:
+            return sse_bytes
+        return "\n\n".join(
+            AnthropicMessagesHandler._rewrite_sse_block(block, replacements) for block in decoded.split("\n\n")
+        ).encode("utf-8")
+
+    @staticmethod
+    def _rewrite_sse_block(block: str, replacements: "Iterator[str]") -> str:
+        return "\n".join(AnthropicMessagesHandler._rewrite_sse_line(line, replacements) for line in block.split("\n"))
+
+    @staticmethod
+    def _rewrite_sse_line(line: str, replacements: "Iterator[str]") -> str:
+        if not line.startswith("data:"):
+            return line
+        try:
+            data: Final[str | int | float | bool | None | Sequence[object] | Mapping[str, object]] = json.loads(
+                line[len("data:") :].strip()
+            )
+        except json.JSONDecodeError:
+            return line
+        if not isinstance(data, dict) or data.get("type") != "content_block_delta":
+            return line
+        delta: Final = data.get("delta")
+        if not isinstance(delta, dict) or delta.get("type") != "text_delta":
+            return line
+        return "data: " + json.dumps(
+            {**data, "delta": {**delta, "text": next(replacements)}}  # mutable-ok: json.dumps needs plain dicts
+        )
+
     def get_streaming_string_so_far(self, responses_so_far: list[Any]) -> str:
         """
         Parse streaming responses and extract accumulated text content.
diff --git a/litellm/llms/base_llm/guardrail_translation/base_translation.py b/litellm/llms/base_llm/guardrail_translation/base_translation.py
index ba96ab3dc99..4b0cc0fd97c 100644
--- a/litellm/llms/base_llm/guardrail_translation/base_translation.py
+++ b/litellm/llms/base_llm/guardrail_translation/base_translation.py
@@ -1,6 +1,6 @@
 from abc import ABC, abstractmethod
 from dataclasses import dataclass, field
-from typing import TYPE_CHECKING, Any, Final, Optional
+from typing import TYPE_CHECKING, Any, ClassVar, Final, Optional
 
 if TYPE_CHECKING:
     from litellm.integrations.custom_guardrail import (
@@ -33,6 +33,13 @@ class StreamTransformSink:
 
 
 class BaseTranslation(ABC):
+    delivers_ended_stream_text_rewrites: ClassVar[bool] = False
+    """Whether ``process_output_streaming_response`` accepts
+    ``deliver_ended_stream_rewrites=True`` and, on an ended (fully buffered)
+    stream, writes guardrail text rewrites back across ``responses_so_far`` so
+    a buffered pipeline can release rewritten chunks instead of withholding the
+    stream. Tool-call rewrites stay undeliverable everywhere."""
+
     @staticmethod
     def transform_user_api_key_dict_to_metadata(
         user_api_key_dict: Any | None,
@@ -113,6 +120,7 @@ class BaseTranslation(ABC):
         user_api_key_dict: Optional["UserAPIKeyAuth"] = None,
         request_data: dict | None = None,
         stream_transform_sink: StreamTransformSink | None = None,
+        deliver_ended_stream_rewrites: bool = False,
     ) -> Any:
         """
         Process output streaming response with guardrails.
@@ -120,6 +128,11 @@ class BaseTranslation(ABC):
         Optional to override in subclasses. ``stream_transform_sink`` is the
         out-parameter used by handlers that support streaming text
         transformations (see ``StreamTransformSink``); base handlers ignore it.
+        ``deliver_ended_stream_rewrites`` is passed True only when the caller
+        holds the whole buffered stream and the subclass declares
+        ``delivers_ended_stream_text_rewrites``: the handler then writes
+        guardrail text rewrites back across ``responses_so_far`` instead of
+        discarding them.
         """
         return responses_so_far
 
diff --git a/litellm/llms/openai/chat/guardrail_translation/handler.py b/litellm/llms/openai/chat/guardrail_translation/handler.py
index 54673c77f80..1358cf7c37a 100644
--- a/litellm/llms/openai/chat/guardrail_translation/handler.py
+++ b/litellm/llms/openai/chat/guardrail_translation/handler.py
@@ -61,6 +61,8 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
     Methods can be overridden to customize behavior for different message formats.
     """
 
+    delivers_ended_stream_text_rewrites = True
+
     def get_structured_messages(self, data: dict) -> list[AllMessageValues] | None:
         """
         Convert chat completions request data to OpenAI-spec structured messages.
@@ -440,6 +442,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         user_api_key_dict: Any | None = None,
         request_data: dict | None = None,
         stream_transform_sink: StreamTransformSink | None = None,
+        deliver_ended_stream_rewrites: bool = False,
     ) -> list["ModelResponseStream"]:
         """
         Process output streaming responses by applying guardrails to text content.
@@ -454,6 +457,10 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
                 accumulated text (``responses_so_far`` is left untouched so it stays
                 a correct raw accumulator across rounds) and the guardrailed text
                 plus requested holdback are reported per choice on the sink.
+            deliver_ended_stream_rewrites: When True and the buffered stream has
+                ended, guardrail text rewrites are written back across
+                ``responses_so_far`` (full rewritten text in each choice's first
+                content-carrying chunk, the rest blanked) instead of discarded.
 
         Returns:
             The (unmodified) list of responses.
@@ -479,6 +486,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
             litellm_logging_obj=litellm_logging_obj,
             user_api_key_dict=user_api_key_dict,
             request_data=request_data,
+            deliver_ended_stream_rewrites=deliver_ended_stream_rewrites,
         )
 
     async def _process_streaming_block_only(
@@ -489,10 +497,12 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         litellm_logging_obj: "LiteLLMLoggingObj | None",
         user_api_key_dict: Any | None,
         request_data: dict | None,
+        deliver_ended_stream_rewrites: bool = False,
     ) -> list["ModelResponseStream"]:
         """Block-only streaming path: run the guardrail so an in-flight BLOCK can
         terminate the stream. Text rewrites are not propagated to the client here
-        (see ``_process_streaming_transform`` for the incremental_diff path)."""
+        (see ``_process_streaming_transform`` for the incremental_diff path) unless
+        ``deliver_ended_stream_rewrites`` opts the ended-stream branch in."""
         # check if the stream has ended
         has_stream_ended = False
         for chunk in responses_so_far:
@@ -501,20 +511,14 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
                 break
 
         if has_stream_ended:
-            # convert to model response
-            model_response: Final = cast(
-                ModelResponse,
-                stream_chunk_builder(chunks=responses_so_far, logging_obj=litellm_logging_obj),
-            )
-            # run process_output_response
-            await self.process_output_response(
-                response=model_response,
+            await self._process_ended_stream(
+                responses_so_far=responses_so_far,
                 guardrail_to_apply=guardrail_to_apply,
                 litellm_logging_obj=litellm_logging_obj,
                 user_api_key_dict=user_api_key_dict,
                 request_data=request_data,
+                deliver_ended_stream_rewrites=deliver_ended_stream_rewrites,
             )
-
             return responses_so_far
 
         # Step 0: Check if any response has text content to process
@@ -591,6 +595,38 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
 
         return responses_so_far
 
+    async def _process_ended_stream(
+        self,
+        *,
+        responses_so_far: list["ModelResponseStream"],  # mutable-ok: rewrites the caller's buffered chunks in place
+        guardrail_to_apply: "CustomGuardrail",
+        litellm_logging_obj: "LiteLLMLoggingObj | None",
+        user_api_key_dict: object,
+        request_data: dict[str, object] | None,  # mutable-ok: same request-payload shape the hooks take
+        deliver_ended_stream_rewrites: bool,
+    ) -> None:
+        """Ended-stream path: rebuild the full response, run the non-streaming
+        output guardrail against it, and (when opted in) write any text rewrite
+        back across the buffered chunks."""
+        model_response: Final = cast(
+            ModelResponse,
+            stream_chunk_builder(chunks=responses_so_far, logging_obj=litellm_logging_obj),
+        )
+        pre_guardrail_texts: Final = self._string_choice_contents(model_response)
+        await self.process_output_response(
+            response=model_response,
+            guardrail_to_apply=guardrail_to_apply,
+            litellm_logging_obj=litellm_logging_obj,
+            user_api_key_dict=user_api_key_dict,
+            request_data=request_data,
+        )
+        if deliver_ended_stream_rewrites:
+            await self._write_ended_stream_text_rewrites(
+                responses_so_far=responses_so_far,
+                guardrailed_response=model_response,
+                pre_guardrail_texts=pre_guardrail_texts,
+            )
+
     @staticmethod
     def _accumulate_string_content_by_choice_index(
         responses_so_far: list["ModelResponseStream"],
@@ -922,6 +958,41 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
                             if "name" in func_dict:
                                 existing_tool_call.function.name = func_dict["name"]
 
+    @staticmethod
+    def _string_choice_contents(response: "ModelResponse") -> tuple[str | None, ...]:
+        return tuple(
+            choice.message.content if isinstance(choice.message.content, str) else None for choice in response.choices
+        )
+
+    async def _write_ended_stream_text_rewrites(
+        self,
+        responses_so_far: list["ModelResponseStream"],  # mutable-ok: rewrites the caller's buffered chunks in place
+        guardrailed_response: "ModelResponse",
+        pre_guardrail_texts: tuple[str | None, ...],
+    ) -> None:
+        """Write ended-stream guardrail text rewrites back across the buffered
+        chunks: each rewritten choice's full text lands in its first
+        content-carrying chunk and the rest are blanked, the same shape the
+        in-flight write-back uses. Chunks carrying only finish_reason or usage
+        stay untouched."""
+        post_guardrail_texts: Final = self._string_choice_contents(guardrailed_response)
+        changed: Final = tuple(
+            (choice_idx, after)
+            for choice_idx, (before, after) in enumerate(zip(pre_guardrail_texts, post_guardrail_texts))
+            if before is not None and after is not None and after != before
+        )
+        if not changed:
+            return
+        await self._apply_guardrail_responses_to_output_streaming(
+            responses=responses_so_far,
+            guardrailed_texts=[
+                after for _choice_idx, after in changed
+            ],  # mutable-ok: the callee's signature predates this change and takes lists
+            task_mappings=[
+                (choice_idx, None) for choice_idx, _after in changed
+            ],  # mutable-ok: the callee's signature predates this change and takes lists
+        )
+
     async def _apply_guardrail_responses_to_output_streaming(
         self,
         responses: list["ModelResponseStream"],
diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index 7c5d8ac99ad..0f475aa04c8 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -28,7 +28,9 @@ Output: response.output is List[GenericResponseOutputItem] where each has:
     - text: str
 """
 
-from collections.abc import Sequence
+from collections.abc import Mapping, Sequence
+from itertools import chain, repeat
+from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, Union, cast
 
 from openai.types.responses.response_function_tool_call import ResponseFunctionToolCall
@@ -91,6 +93,8 @@ class OpenAIResponsesHandler(BaseTranslation):
     Methods can be overridden to customize behavior for different message formats.
     """
 
+    delivers_ended_stream_text_rewrites = True
+
     def get_structured_messages(self, data: dict) -> list[AllMessageValues] | None:
         """
         Convert Responses API request data to OpenAI-spec structured messages.
@@ -482,6 +486,7 @@ class OpenAIResponsesHandler(BaseTranslation):
         litellm_logging_obj: "LiteLLMLoggingObj | None" = None,
         user_api_key_dict: "UserAPIKeyAuth | None" = None,
         request_data: dict | None = None,
+        deliver_ended_stream_rewrites: bool = False,
     ) -> list[Any]:
         """
         Process output streaming response by applying guardrails to text content.
@@ -493,7 +498,11 @@ class OpenAIResponsesHandler(BaseTranslation):
         For ``response.completed`` events (the normal end-of-stream signal) we
         use the same per-item extraction + task-mapping approach as
         ``process_output_response`` so that unmasking / blocking works correctly
-        for every output item.
+        for every output item. With ``deliver_ended_stream_rewrites`` the earlier
+        text-carrying events (``response.output_text.delta`` / ``.done``,
+        ``response.content_part.done``, ``response.output_item.done``) are synced
+        to the rewritten completed response too, so a client reading deltas sees
+        the rewrite instead of the raw model output.
         """
         if not responses_so_far:
             return responses_so_far
@@ -562,6 +571,19 @@ class OpenAIResponsesHandler(BaseTranslation):
                     responses=guardrailed_texts,
                     task_mappings=task_mappings,
                 )
+                if deliver_ended_stream_rewrites:
+                    rewrites_by_position: Final = MappingProxyType(
+                        {
+                            task_mappings[task_idx]: rewritten
+                            for task_idx, rewritten in enumerate(guardrailed_texts)
+                            if task_idx < len(texts_to_check) and rewritten != texts_to_check[task_idx]
+                        }
+                    )
+                    if rewrites_by_position:
+                        self._sync_stream_events_with_rewrites(
+                            stream_events=responses_so_far[:-1],
+                            rewrites_by_position=rewrites_by_position,
+                        )
 
             return responses_so_far
 
@@ -607,6 +629,63 @@ class OpenAIResponsesHandler(BaseTranslation):
             )
         return responses_so_far
 
+    @staticmethod
+    def _write_event_field(event: object, field: str, value: str) -> None:
+        if isinstance(event, dict):
+            event[field] = value  # rebind-ok: delivering the rewrite means editing the buffered event in place
+        else:
+            setattr(event, field, value)
+
+    def _sync_stream_events_with_rewrites(
+        self,
+        stream_events: Sequence[Any],
+        rewrites_by_position: Mapping[tuple[int, int], str],
+    ) -> None:
+        """Sync pre-completion stream events with the rewritten completed
+        response, keyed by ``(output_index, content_index)``: the first
+        ``output_text.delta`` for a rewritten item carries the full rewritten
+        text and the rest are blanked, while ``output_text.done``,
+        ``content_part.done``, and ``output_item.done`` events carry the full
+        rewritten text, so every event a client may read agrees with the
+        rewritten ``response.completed`` payload."""
+        delta_replacements: Final = MappingProxyType(
+            {position: chain((rewritten,), repeat("")) for position, rewritten in rewrites_by_position.items()}
+        )
+        for event in stream_events:
+            if not (isinstance(event, dict) or hasattr(event, "get")):
+                continue
+            event_type = event.get("type")
+            output_index = event.get("output_index")
+            content_index = event.get("content_index")
+            if event_type == "response.output_item.done" and isinstance(output_index, int):
+                self._sync_output_item_done_event(event.get("item"), output_index, rewrites_by_position)
+                continue
+            if not isinstance(output_index, int) or not isinstance(content_index, int):
+                continue
+            position = (output_index, content_index)
+            if event_type == "response.output_text.delta" and position in delta_replacements:
+                self._write_event_field(event, "delta", next(delta_replacements[position]))
+            elif event_type == "response.output_text.done" and position in rewrites_by_position:
+                self._write_event_field(event, "text", rewrites_by_position[position])
+            elif event_type == "response.content_part.done" and position in rewrites_by_position:
+                part = event.get("part")
+                if isinstance(part, dict) or hasattr(part, "text"):
+                    self._write_event_field(part, "text", rewrites_by_position[position])
+
+    @staticmethod
+    def _sync_output_item_done_event(
+        item: object,
+        output_index: int,
+        rewrites_by_position: Mapping[tuple[int, int], str],
+    ) -> None:
+        content: Final = item.get("content") if isinstance(item, dict) else getattr(item, "content", None)
+        if not isinstance(content, list):
+            return
+        for (item_idx, content_idx), rewritten in rewrites_by_position.items():
+            if item_idx != output_index or content_idx >= len(content):
+                continue
+            OpenAIResponsesHandler._write_event_field(content[content_idx], "text", rewritten)
+
     def _check_streaming_has_ended(self, responses_so_far: Sequence[ResponsesStreamChunk]) -> bool:
         """
         Check if the streaming has ended.
diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index acd2c2c973a..1264cdfc14a 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -34,6 +34,7 @@ if TYPE_CHECKING:
     from litellm.llms.base_llm.guardrail_translation.base_translation import (
         BaseTranslation,
     )
+    from litellm.proxy._types import UserAPIKeyAuth
 
 try:
     from fastapi.exceptions import HTTPException
@@ -44,7 +45,8 @@ except ImportError:
 class UndeliverableStreamRewrite(Exception):
     def __init__(self, guardrail_name: str) -> None:
         super().__init__(
-            f"Guardrail '{guardrail_name}' rewrote the streamed response, which streaming pipelines cannot deliver"
+            f"Guardrail '{guardrail_name}' rewrote the streamed response in a way this endpoint's "
+            "streaming pipeline cannot deliver"
         )
         self.guardrail_name: Final = guardrail_name
 
@@ -57,28 +59,31 @@ def _tool_call_shape(tool_call: object) -> tuple[object, object]:
     return (function.get("name"), function.get("arguments"))
 
 
-def _rewrote_texts(sent: Sequence[str] | None, returned: Sequence[str] | None) -> bool:
-    return sent is not None and returned is not None and list(returned) != list(sent)
+def _text_snapshot(texts: Sequence[str] | None) -> tuple[str, ...] | None:
+    return None if texts is None else tuple(texts)
 
 
-def _rewrote_tool_calls(sent: Sequence[object] | None, returned: Sequence[object] | None) -> bool:
-    if sent is None or returned is None:
-        return False
-    return [_tool_call_shape(tool_call) for tool_call in returned] != [
-        _tool_call_shape(tool_call) for tool_call in sent
-    ]
+def _tool_call_shapes(tool_calls: Sequence[object] | None) -> tuple[tuple[object, object], ...] | None:
+    return None if tool_calls is None else tuple(_tool_call_shape(tool_call) for tool_call in tool_calls)
+
+
+def _rewrote(sent: tuple[object, ...] | None, returned: tuple[object, ...] | None) -> bool:
+    return sent is not None and returned is not None and returned != sent
 
 
 class _StreamRewriteObserver(CustomGuardrail):
     """Stand-in handed to the endpoint translation in place of a streaming pipeline step's
-    guardrail. Translations cannot rewrite every buffered chunk consistently, so the gate
-    withholds the stream whenever the guardrail returned different output than it was given,
-    which for guardrails like Bedrock's ANONYMIZED action is only known at runtime."""
+    guardrail. It records whether the guardrail returned different output than it was given,
+    which for guardrails like Bedrock's ANONYMIZED action is only known at runtime. Text
+    rewrites are deliverable on translations that write them back across the buffered chunks
+    (``delivers_ended_stream_text_rewrites``); tool-call rewrites and text rewrites on any
+    other translation make the gate withhold the stream."""
 
     def __init__(self, inner: CustomGuardrail) -> None:
         super().__init__(guardrail_name=inner.guardrail_name)
         self.inner: Final = inner
-        self.rewrote = False
+        self.rewrote_texts = False
+        self.rewrote_tool_calls = False
 
     def structured_messages_cover_full_request(self) -> bool:
         return self.inner.structured_messages_cover_full_request()
@@ -90,13 +95,14 @@ class _StreamRewriteObserver(CustomGuardrail):
         input_type: Literal["request", "response"],
         logging_obj: "LiteLLMLoggingObj | None" = None,
     ) -> GenericGuardrailAPIInputs:
+        sent_texts: Final = _text_snapshot(inputs.get("texts"))
+        sent_tool_shapes: Final = _tool_call_shapes(inputs.get("tool_calls"))
         outputs: Final = await self.inner.apply_guardrail(
             inputs=inputs, request_data=request_data, input_type=input_type, logging_obj=logging_obj
         )
-        self.rewrote = (
-            self.rewrote
-            or _rewrote_texts(inputs.get("texts"), outputs.get("texts"))
-            or _rewrote_tool_calls(inputs.get("tool_calls"), outputs.get("tool_calls"))
+        self.rewrote_texts = self.rewrote_texts or _rewrote(sent_texts, _text_snapshot(outputs.get("texts")))
+        self.rewrote_tool_calls = self.rewrote_tool_calls or _rewrote(
+            sent_tool_shapes, _tool_call_shapes(outputs.get("tool_calls"))
         )
         return outputs
 
@@ -250,6 +256,41 @@ class PipelineExecutor:
             modified_data=working_data if working_data != data else None,
         )
 
+    @staticmethod
+    async def _run_streaming_step(
+        step: PipelineStep,
+        callback: CustomGuardrail,
+        endpoint_translation: "BaseTranslation",
+        streaming_chunks: list[object],  # mutable-ok: shared buffered-stream chunks the translation rewrites in place
+        hook_input: dict[str, object],  # mutable-ok: same request-payload shape as data
+        user_api_key_dict: "UserAPIKeyAuth | None",
+        litellm_logging_obj: "LiteLLMLoggingObj | None",
+    ) -> None:
+        """Run one streaming post_call step through the endpoint translation, delivering
+        text rewrites on translations that support ended-stream write-back and raising
+        ``UndeliverableStreamRewrite`` for any rewrite that cannot reach the client."""
+        observer: Final = _StreamRewriteObserver(callback)
+        deliver_rewrites: Final = type(endpoint_translation).delivers_ended_stream_text_rewrites
+        if deliver_rewrites:
+            await endpoint_translation.process_output_streaming_response(
+                responses_so_far=streaming_chunks,
+                guardrail_to_apply=observer,
+                litellm_logging_obj=litellm_logging_obj,
+                user_api_key_dict=user_api_key_dict,
+                request_data=hook_input,
+                deliver_ended_stream_rewrites=True,
+            )
+        else:
+            await endpoint_translation.process_output_streaming_response(
+                responses_so_far=streaming_chunks,
+                guardrail_to_apply=observer,
+                litellm_logging_obj=litellm_logging_obj,
+                user_api_key_dict=user_api_key_dict,
+                request_data=hook_input,
+            )
+        if observer.rewrote_tool_calls or (observer.rewrote_texts and not deliver_rewrites):
+            raise UndeliverableStreamRewrite(step.guardrail)
+
     @staticmethod
     async def _run_step(
         step: PipelineStep,
@@ -312,16 +353,15 @@ class PipelineExecutor:
                         f"Guardrail '{step.guardrail}' does not support streaming pipeline execution",
                         None,
                     )
-                observer: Final = _StreamRewriteObserver(callback)
-                await endpoint_translation.process_output_streaming_response(
-                    responses_so_far=streaming_chunks,
-                    guardrail_to_apply=observer,
-                    litellm_logging_obj=data.get("litellm_logging_obj"),
+                await PipelineExecutor._run_streaming_step(
+                    step=step,
+                    callback=callback,
+                    endpoint_translation=endpoint_translation,
+                    streaming_chunks=streaming_chunks,
+                    hook_input=hook_input,
                     user_api_key_dict=user_api_key_dict,
-                    request_data=hook_input,
+                    litellm_logging_obj=data.get("litellm_logging_obj"),
                 )
-                if observer.rewrote:
-                    raise UndeliverableStreamRewrite(step.guardrail)
                 response = None
             elif mode == "post_call":
                 response = await target.async_post_call_success_hook(
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 6c990222e51..7f3c3aecd87 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -492,14 +492,6 @@ def _pipeline_step_supports_unified_streaming(guardrail_name: str) -> bool:
     return callback is not None and PipelineExecutor.supports_unified_execution(callback)
 
 
-def _pipeline_step_rewrites_streamed_content(guardrail_name: str) -> bool:
-    callback: Final = PipelineExecutor.find_guardrail_callback(guardrail_name)
-    if callback is None:
-        return False
-    transform_mode: Final = unified_guardrail.resolve_streaming_flag(callback, "streaming_transform_mode", "block_only")
-    return callback.rewrites_streamed_output() or transform_mode == "incremental_diff"
-
-
 class _PipelineErrorBody(TypedDict):
     message: ReadOnly[str]
     type: ReadOnly[str]
@@ -516,9 +508,10 @@ def _undeliverable_stream_rewrite_error(policy_name: str, guardrail_name: str) -
         "error": {
             "message": (
                 f"Streaming response withheld by policy pipeline '{policy_name}' because guardrail "
-                f"'{guardrail_name}' rewrote the streamed output, and streaming pipelines cannot deliver "
-                "rewrites. Retry with stream=false, or drop it from the pipeline steps so guardrails.add "
-                "applies it to streamed output."
+                f"'{guardrail_name}' rewrote the streamed output in a way this endpoint's streaming "
+                "pipeline cannot deliver (a tool-call rewrite, or a text rewrite on a route without "
+                "stream write-back). Retry with stream=false, or drop it from the pipeline steps so "
+                "guardrails.add applies it to streamed output."
             ),
             "type": "guardrail_pipeline_error",
             "policies": (policy_name,),
@@ -535,13 +528,13 @@ def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object], user_ap
     Background responses skip the post_call hooks entirely, so a pipeline
     governing one would silently never execute. Streaming responses execute
     pipelines against the buffered stream through the endpoint guardrail
-    translation of the request route, releasing the buffered chunks on allow.
-    That needs every step's guardrail to support the unified apply_guardrail
-    interface and to only allow or block (a step that rewrites streamed
-    content, via mask_response_content, a MASK action, or
-    streaming_transform_mode=incremental_diff, would have its rewrite silently
-    dropped), and needs the route to have a translation at all; anything else
-    keeps the 400 rather than letting ungoverned output stream through.
+    translation of the request route, releasing the buffered chunks on allow
+    (rewritten in place when a guardrail rewrote text and the translation
+    delivers ended-stream rewrites; a rewrite the translation cannot deliver
+    fails closed at runtime instead). That needs every step's guardrail to
+    support the unified apply_guardrail interface, and needs the route to have
+    a translation at all; anything else keeps the 400 rather than letting
+    ungoverned output stream through.
     """
     is_stream: Final = data.get("stream") is True
     is_background: Final = data.get("background") is True
@@ -586,25 +579,6 @@ def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object], user_ap
             }
         }
         raise HTTPException(status_code=400, detail=unsupported_detail)
-    rewriting_guardrails: Final = tuple(
-        guardrail for guardrail in step_guardrails if _pipeline_step_rewrites_streamed_content(guardrail)
-    )
-    if rewriting_guardrails:
-        rewriting_detail: Final[_PipelineErrorDetail] = {
-            "error": {
-                "message": (
-                    "Policies with post_call guardrail pipelines cannot govern streaming responses "
-                    "because these pipeline guardrails rewrite streamed content (mask_response_content, "
-                    "a MASK action, or streaming_transform_mode=incremental_diff), which pipeline steps would release "
-                    f"unmodified: {', '.join(rewriting_guardrails)}. Retry with stream=false, or drop "
-                    "them from the pipeline steps so guardrails.add applies them to streamed output."
-                ),
-                "type": "guardrail_pipeline_error",
-                "policies": post_call_policies,
-                "guardrails": rewriting_guardrails,
-            }
-        }
-        raise HTTPException(status_code=400, detail=rewriting_detail)
     route: Final = user_api_key_dict.request_route
     if not route or resolve_endpoint_translation(user_api_key_dict, None) is not None:
         return
@@ -3485,12 +3459,13 @@ class ProxyLogging:
         pipeline allows it), then runs each pipeline's steps against the
         assembled output through the endpoint guardrail translation, the same
         machinery flat post_call guardrails use at end of stream. An allow
-        releases the buffered chunks verbatim; a step whose guardrail rewrote
-        the output withholds the stream with a 400 instead, since no
-        translation rewrites every buffered chunk consistently and some
-        rewrites (Bedrock's ANONYMIZED action, for one) are only decided at
-        runtime; a block or modify_response terminates with the translation's
-        block chunks or the raised error.
+        releases the buffered chunks: verbatim when no guardrail rewrote the
+        output, rewritten in place when one rewrote text and the translation
+        delivers ended-stream rewrites (later steps then re-scan the rewritten
+        chunks, so rewrites chain). A rewrite the translation cannot deliver
+        (a tool-call rewrite, or a text rewrite on a route without write-back)
+        withholds the stream with a 400; a block or modify_response terminates
+        with the translation's block chunks or the raised error.
         """
         buffered: Final[list[object]] = []  # mutable-ok: accumulates the stream before the pipeline verdict
         async for item in response:
diff --git a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
index af3ccd65b11..ba26da50bc8 100644
--- a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
+++ b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
@@ -263,6 +263,71 @@ class TestAnthropicMessagesHandlerStreamingOutputProcessing:
             # Should return the responses unchanged
             assert result == responses_so_far
 
+    @staticmethod
+    def _ended_sse_chunks() -> list:
+        events = [
+            ("message_start", {"type": "message_start", "message": {"id": "msg_1", "type": "message", "role": "assistant", "model": "claude-sonnet-4-5", "content": [], "stop_reason": None, "usage": {"input_tokens": 1, "output_tokens": 0}}}),
+            ("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}),
+            ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "hello "}}),
+            ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "world"}}),
+            ("content_block_stop", {"type": "content_block_stop", "index": 0}),
+            ("message_delta", {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence": None}, "usage": {"output_tokens": 2}}),
+            ("message_stop", {"type": "message_stop"}),
+        ]
+        return [f"event: {name}\ndata: {json.dumps(payload)}\n\n".encode() for name, payload in events]
+
+    @staticmethod
+    def _masking_guardrail() -> CustomGuardrail:
+        class MaskWorld(CustomGuardrail):
+            async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+                return {**inputs, "texts": [text.replace("world", "[MASKED]") for text in inputs.get("texts", [])]}
+
+        return MaskWorld(guardrail_name="test")
+
+    @staticmethod
+    def _delta_texts(chunks: list) -> list:
+        texts = []
+        for chunk in chunks:
+            for line in chunk.decode().split("\n"):
+                if not line.startswith("data:"):
+                    continue
+                data = json.loads(line[len("data:") :].strip())
+                if data.get("type") == "content_block_delta":
+                    texts.append(data["delta"]["text"])
+        return texts
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_writes_text_back_into_sse_chunks(self):
+        handler = AnthropicMessagesHandler()
+        chunks = self._ended_sse_chunks()
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=self._masking_guardrail(),
+            litellm_logging_obj=MagicMock(),
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is chunks
+        assert self._delta_texts(chunks) == ["hello [MASKED]", ""]
+        raw = b"".join(chunks).decode()
+        assert "event: message_start" in raw and "event: message_stop" in raw
+        assert '"stop_reason": "end_turn"' in raw
+
+    @pytest.mark.asyncio
+    async def test_ended_stream_rewrite_leaves_chunks_untouched_by_default(self):
+        handler = AnthropicMessagesHandler()
+        chunks = self._ended_sse_chunks()
+        original = [bytes(chunk) for chunk in chunks]
+
+        await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=self._masking_guardrail(),
+            litellm_logging_obj=MagicMock(),
+        )
+
+        assert chunks == original
+
 
 class TestAnthropicMessagesHandlerInputProcessing:
     """Test input processing preserves litellm_metadata for dynamic guardrails."""
diff --git a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
index a29e0be4655..26442a4a6ed 100644
--- a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
@@ -1073,6 +1073,61 @@ class TestOpenAIChatCompletionsHandlerStreamingOutput:
         # Should return the responses
         assert result == responses_so_far
 
+    @staticmethod
+    def _ended_stream_chunks() -> list:
+        from litellm.types.utils import Delta, ModelResponseStream, StreamingChoices
+
+        return [
+            ModelResponseStream(
+                id="chatcmpl-123",
+                created=1234567890,
+                model="gpt-4",
+                object="chat.completion.chunk",
+                choices=[StreamingChoices(index=0, delta=Delta(content="Hello"), finish_reason=None)],
+            ),
+            ModelResponseStream(
+                id="chatcmpl-123",
+                created=1234567890,
+                model="gpt-4",
+                object="chat.completion.chunk",
+                choices=[StreamingChoices(index=0, delta=Delta(content=" world"), finish_reason="stop")],
+            ),
+        ]
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_writes_text_back_into_chunks(self):
+        handler = OpenAIChatCompletionsHandler()
+        guardrail = MockGuardrail(guardrail_name="test")
+        chunks = self._ended_stream_chunks()
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=guardrail,
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is chunks
+        assert chunks[0].choices[0].delta.content == "HELLO WORLD"
+        assert chunks[1].choices[0].delta.content in (None, "")
+        assert chunks[1].choices[0].finish_reason == "stop"
+
+    @pytest.mark.asyncio
+    async def test_ended_stream_rewrite_leaves_chunks_untouched_by_default(self):
+        handler = OpenAIChatCompletionsHandler()
+        guardrail = MockGuardrail(guardrail_name="test")
+        chunks = self._ended_stream_chunks()
+
+        await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=guardrail,
+            litellm_logging_obj=None,
+        )
+
+        assert chunks[0].choices[0].delta.content == "Hello"
+        assert chunks[1].choices[0].delta.content == " world"
+        assert chunks[1].choices[0].finish_reason == "stop"
+
 
 class TestGetStructuredMessages:
     """Test the get_structured_messages method."""
diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
index 447175b09a6..4f95e08cb71 100644
--- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -1104,6 +1104,89 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
         output_text = result[-1]["response"]["output"][0]["content"][0]["text"]
         assert output_text == original_text
 
+    @staticmethod
+    def _ended_stream_events() -> List[dict]:
+        content = [{"type": "output_text", "text": "hello world"}]
+        item = {
+            "type": "message",
+            "id": "msg_123",
+            "status": "completed",
+            "role": "assistant",
+            "content": content,
+        }
+        return [
+            {"type": "response.output_text.delta", "output_index": 0, "content_index": 0, "delta": "hello "},
+            {"type": "response.output_text.delta", "output_index": 0, "content_index": 0, "delta": "world"},
+            {"type": "response.output_text.done", "output_index": 0, "content_index": 0, "text": "hello world"},
+            {
+                "type": "response.content_part.done",
+                "output_index": 0,
+                "content_index": 0,
+                "part": {"type": "output_text", "text": "hello world"},
+            },
+            {"type": "response.output_item.done", "output_index": 0, "item": {**item, "content": [dict(c) for c in content]}},
+            {
+                "type": "response.completed",
+                "response": {
+                    "id": "resp_123",
+                    "model": "gpt-4o",
+                    "output": [{**item, "content": [dict(c) for c in content]}],
+                    "status": "completed",
+                },
+            },
+        ]
+
+    @staticmethod
+    def _masking_guardrail() -> CustomGuardrail:
+        class MaskWorld(CustomGuardrail):
+            async def apply_guardrail(
+                self,
+                inputs: GenericGuardrailAPIInputs,
+                request_data: dict,
+                input_type: Literal["request", "response"],
+                logging_obj: Optional[Any] = None,
+            ) -> GenericGuardrailAPIInputs:
+                texts = inputs.get("texts", [])
+                return {**inputs, "texts": [t.replace("world", "[MASKED]") for t in texts]}
+
+        return MaskWorld(guardrail_name="test-mask")
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_syncs_all_stream_events(self):
+        handler = OpenAIResponsesHandler()
+        events = self._ended_stream_events()
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=self._masking_guardrail(),
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is events
+        assert events[0]["delta"] == "hello [MASKED]"
+        assert events[1]["delta"] == ""
+        assert events[2]["text"] == "hello [MASKED]"
+        assert events[3]["part"]["text"] == "hello [MASKED]"
+        assert events[4]["item"]["content"][0]["text"] == "hello [MASKED]"
+        assert events[5]["response"]["output"][0]["content"][0]["text"] == "hello [MASKED]"
+
+    @pytest.mark.asyncio
+    async def test_ended_stream_rewrite_leaves_delta_events_untouched_by_default(self):
+        handler = OpenAIResponsesHandler()
+        events = self._ended_stream_events()
+
+        await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=self._masking_guardrail(),
+            litellm_logging_obj=None,
+        )
+
+        assert events[0]["delta"] == "hello "
+        assert events[1]["delta"] == "world"
+        assert events[2]["text"] == "hello world"
+        assert events[5]["response"]["output"][0]["content"][0]["text"] == "hello [MASKED]"
+
 
 class TestGetStructuredMessages:
     """Test the get_structured_messages method for Responses API handler."""
diff --git a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
index 52fd8777a19..908c9f12c9e 100644
--- a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
+++ b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
@@ -823,6 +823,8 @@ class _TextReturningGuardrail(CustomGuardrail):
 
 
 class _TextTranslation:
+    delivers_ended_stream_text_rewrites = False
+
     def __init__(self):
         self.seen_guardrail_names = []
 
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 74bd2e483cc..73270ec5671 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -24,7 +24,7 @@ from litellm.integrations.custom_guardrail import (
     ModifyResponseException,
 )
 from litellm.integrations.prometheus import PrometheusLogger
-from litellm.proxy._types import ProxyException
+from litellm.proxy._types import ProxyException, UserAPIKeyAuth
 from litellm.proxy.common_utils.callback_utils import add_guardrail_to_applied_guardrails_header
 from litellm.proxy.utils import ProxyLogging, _raise_for_streaming_post_call_pipelines
 from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.content_filter import ContentFilterGuardrail
@@ -1441,7 +1441,7 @@ async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_lacks_uni
         ("guardrail_config", {"streaming_transform_mode": "incremental_diff"}),
     ],
 )
-async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_rewrites_streamed_content(
+async def test_pre_call_hook_allows_streaming_when_pipeline_guardrail_rewrites_streamed_content(
     proxy_logging, make_user_api_key_auth, monkeypatch, rewrite_attribute, value
 ):
     seen: Dict[str, Any] = {}
@@ -1450,24 +1450,21 @@ async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_rewrites_
     monkeypatch.setattr(litellm, "callbacks", [guardrail])
     data = _post_call_pipeline_data(stream=True)
 
-    with pytest.raises(HTTPException) as info:
-        await proxy_logging.pre_call_hook(
-            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
-            data=data,
-            call_type="completion",
-            guardrails_only=True,
-        )
+    out = await proxy_logging.pre_call_hook(
+        user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+        data=data,
+        call_type="completion",
+        guardrails_only=True,
+    )
 
-    assert info.value.status_code == 400
-    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
-    assert "rewrite streamed content" in info.value.detail["error"]["message"]
-    assert seen.get("count") is None
+    assert out is not None
+    assert out.get("stream") is True
 
 
 @pytest.mark.asyncio
-@pytest.mark.parametrize("action, rejected", [(ContentFilterAction.MASK, True), (ContentFilterAction.BLOCK, False)])
-async def test_pre_call_hook_rejects_streaming_only_when_content_filter_step_masks(
-    proxy_logging, make_user_api_key_auth, monkeypatch, action, rejected
+@pytest.mark.parametrize("action", [ContentFilterAction.MASK, ContentFilterAction.BLOCK])
+async def test_pre_call_hook_allows_streaming_when_content_filter_step_masks_or_blocks(
+    proxy_logging, make_user_api_key_auth, monkeypatch, action
 ):
     guardrail = ContentFilterGuardrail(
         guardrail_name="gr-post",
@@ -1478,25 +1475,15 @@ async def test_pre_call_hook_rejects_streaming_only_when_content_filter_step_mas
     data = _post_call_pipeline_data(stream=True)
     user_api_key_dict = make_user_api_key_auth(request_route="/v1/chat/completions")
 
-    if not rejected:
-        out = await proxy_logging.pre_call_hook(
-            user_api_key_dict=user_api_key_dict, data=data, call_type="completion", guardrails_only=True
-        )
-        assert out is not None and out.get("stream") is True
-        return
+    out = await proxy_logging.pre_call_hook(
+        user_api_key_dict=user_api_key_dict, data=data, call_type="completion", guardrails_only=True
+    )
 
-    with pytest.raises(HTTPException) as info:
-        await proxy_logging.pre_call_hook(
-            user_api_key_dict=user_api_key_dict, data=data, call_type="completion", guardrails_only=True
-        )
-
-    assert info.value.status_code == 400
-    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
-    assert "a MASK action" in info.value.detail["error"]["message"]
+    assert out is not None and out.get("stream") is True
 
 
 @pytest.mark.asyncio
-async def test_pre_call_hook_rejects_streaming_when_content_filter_category_masks(
+async def test_pre_call_hook_allows_streaming_when_content_filter_category_masks(
     proxy_logging, make_user_api_key_auth, monkeypatch
 ):
     guardrail = ContentFilterGuardrail(
@@ -1508,13 +1495,11 @@ async def test_pre_call_hook_rejects_streaming_when_content_filter_category_mask
     data = _post_call_pipeline_data(stream=True)
     user_api_key_dict = make_user_api_key_auth(request_route="/v1/chat/completions")
 
-    with pytest.raises(HTTPException) as info:
-        await proxy_logging.pre_call_hook(
-            user_api_key_dict=user_api_key_dict, data=data, call_type="completion", guardrails_only=True
-        )
+    out = await proxy_logging.pre_call_hook(
+        user_api_key_dict=user_api_key_dict, data=data, call_type="completion", guardrails_only=True
+    )
 
-    assert info.value.status_code == 400
-    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
+    assert out is not None and out.get("stream") is True
 
 
 @pytest.mark.asyncio
@@ -1618,17 +1603,10 @@ def _echoed_tool_call_dicts(arguments: str) -> List[Dict[str, Any]]:
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize("on_fail, on_error", [("block", None), ("next", "next")])
-@pytest.mark.parametrize(
-    "make_chunks, transform",
-    [
-        (_stream_chunks, lambda inputs: {"texts": ["hello [MASKED]"]}),
-        (_tool_call_stream_chunks, lambda inputs: {"tool_calls": _echoed_tool_call_dicts('{"ssn": "[MASKED]"}')}),
-    ],
-    ids=["texts", "tool_calls"],
-)
-async def test_streaming_iterator_hook_pipeline_withholds_runtime_rewrite(
-    proxy_logging, make_user_api_key_auth, monkeypatch, make_chunks, transform, on_fail, on_error
+async def test_streaming_iterator_hook_pipeline_withholds_runtime_tool_call_rewrite(
+    proxy_logging, make_user_api_key_auth, monkeypatch, on_fail, on_error
 ):
+    transform = lambda inputs: {"tool_calls": _echoed_tool_call_dicts('{"ssn": "[MASKED]"}')}  # noqa: E731
     monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(transform)])
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     step = PipelineStep(guardrail="gr-post", on_pass="allow", on_fail=on_fail, on_error=on_error)
@@ -1638,7 +1616,7 @@ async def test_streaming_iterator_hook_pipeline_withholds_runtime_rewrite(
     async def _drain() -> None:
         async for item in proxy_logging.async_post_call_streaming_iterator_hook(
             user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
-            response=_async_chunk_iter(make_chunks()),
+            response=_async_chunk_iter(_tool_call_stream_chunks()),
             request_data=data,
         ):
             delivered.append(item)
@@ -1655,6 +1633,81 @@ async def test_streaming_iterator_hook_pipeline_withholds_runtime_rewrite(
     assert "stream=false" in error["message"]
 
 
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_delivers_runtime_text_rewrite(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    transform = lambda inputs: {"texts": ["hello [MASKED]"]}  # noqa: E731
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(transform)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+    chunks = _stream_chunks()
+
+    delivered = [
+        item
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        )
+    ]
+
+    assert [id(item) for item in delivered] == [id(chunk) for chunk in chunks]
+    assert delivered[0].choices[0].delta.content == "hello [MASKED]"
+    assert delivered[1].choices[0].delta.content in (None, "")
+    assert delivered[1].choices[0].finish_reason == "stop"
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_chains_text_rewrites_across_steps(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    second_step_saw: Dict[str, Any] = {}
+
+    class FirstMask(CustomGuardrail):
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            return {**inputs, "texts": [text.replace("world", "[MASKED]") for text in inputs["texts"]]}
+
+    class SecondMask(CustomGuardrail):
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            second_step_saw["texts"] = list(inputs["texts"])
+            return {**inputs, "texts": [text.replace("hello", "[GREETING]") for text in inputs["texts"]]}
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [
+            FirstMask(guardrail_name="gr-first", event_hook=GuardrailEventHooks.post_call, default_on=False),
+            SecondMask(guardrail_name="gr-second", event_hook=GuardrailEventHooks.post_call, default_on=False),
+        ],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    pipeline = GuardrailPipeline(
+        mode="post_call",
+        steps=[
+            PipelineStep(guardrail="gr-first", on_pass="next", on_fail="block"),
+            PipelineStep(guardrail="gr-second", on_pass="allow", on_fail="block"),
+        ],
+    )
+    data = _post_call_pipeline_data(stream=True)
+    data["metadata"]["_guardrail_pipelines"] = [("response-governance", pipeline)]
+    chunks = _stream_chunks()
+
+    delivered = [
+        item
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        )
+    ]
+
+    assert second_step_saw["texts"] == ["hello [MASKED]"]
+    assert delivered[0].choices[0].delta.content == "[GREETING] [MASKED]"
+    assert delivered[1].choices[0].delta.content in (None, "")
+    assert delivered[1].choices[0].finish_reason == "stop"
+
+
 @pytest.mark.asyncio
 @pytest.mark.parametrize(
     "make_chunks, transform",
@@ -1761,6 +1814,79 @@ async def test_streaming_iterator_hook_pipeline_modify_response_emits_translated
     assert not any(item is chunk for item in delivered for chunk in chunks)
 
 
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_delivers_text_rewrite_on_anthropic_sse(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    transform = lambda inputs: {"texts": ["hello [MASKED]"]}  # noqa: E731
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(transform)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+    chunks = _anthropic_sse_chunks()
+
+    delivered = [
+        item
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/messages"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        )
+    ]
+
+    raw = b"".join(delivered).decode()
+    assert "hello [MASKED]" in raw
+    assert "hello world" not in raw
+    assert raw.count("event: content_block_delta") == 1
+    for expected_event in ("message_start", "content_block_start", "content_block_stop", "message_delta", "message_stop"):
+        assert f"event: {expected_event}" in raw
+
+
+@pytest.mark.asyncio
+async def test_pipeline_executor_withholds_text_rewrite_when_translation_lacks_write_back(monkeypatch):
+    from litellm.llms.base_llm.guardrail_translation.base_translation import BaseTranslation
+    from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor, UndeliverableStreamRewrite
+
+    class NoWriteBackTranslation(BaseTranslation):
+        async def process_input_messages(self, data, guardrail_to_apply, litellm_logging_obj):
+            return data
+
+        async def process_output_response(self, response, guardrail_to_apply, litellm_logging_obj, **kwargs):
+            return response
+
+        async def process_output_streaming_response(
+            self,
+            responses_so_far,
+            guardrail_to_apply,
+            litellm_logging_obj,
+            user_api_key_dict=None,
+            request_data=None,
+            stream_transform_sink=None,
+            deliver_ended_stream_rewrites=False,
+        ):
+            assert deliver_ended_stream_rewrites is False
+            await guardrail_to_apply.apply_guardrail(
+                inputs={"texts": ["hello world"]},
+                request_data=request_data or {},
+                input_type="response",
+            )
+            return responses_so_far
+
+    transform = lambda inputs: {"texts": ["hello [MASKED]"]}  # noqa: E731
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(transform)])
+
+    with pytest.raises(UndeliverableStreamRewrite):
+        await PipelineExecutor.execute_steps(
+            steps=[PipelineStep(guardrail="gr-post", on_pass="allow", on_fail="block")],
+            mode="post_call",
+            data={"metadata": {}},
+            user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"),
+            call_type="acompletion",
+            policy_name="response-governance",
+            streaming_chunks=_stream_chunks(),
+            endpoint_translation=NoWriteBackTranslation(),
+        )
+
+
 @pytest.mark.asyncio
 async def test_streaming_iterator_hook_pipeline_gates_without_iterator_overrides(
     proxy_logging, make_user_api_key_auth, monkeypatch

From 85fea1a6752ac5f0c4c0415c5d3da4f6bc542911 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 1 Sep 2026 17:15:11 -0700
Subject: [PATCH 019/223] fix(policy_engine): move mutable-ok suppressions onto
 the flagged lines

---
 litellm/llms/openai/chat/guardrail_translation/handler.py | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/litellm/llms/openai/chat/guardrail_translation/handler.py b/litellm/llms/openai/chat/guardrail_translation/handler.py
index fcb447d5277..02206a36b0e 100644
--- a/litellm/llms/openai/chat/guardrail_translation/handler.py
+++ b/litellm/llms/openai/chat/guardrail_translation/handler.py
@@ -989,12 +989,8 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
             return
         await self._apply_guardrail_responses_to_output_streaming(
             responses=responses_so_far,
-            guardrailed_texts=[
-                after for _choice_idx, after in changed
-            ],  # mutable-ok: the callee's signature predates this change and takes lists
-            task_mappings=[
-                (choice_idx, None) for choice_idx, _after in changed
-            ],  # mutable-ok: the callee's signature predates this change and takes lists
+            guardrailed_texts=[after for _choice_idx, after in changed],  # mutable-ok: callee takes lists
+            task_mappings=[(choice_idx, None) for choice_idx, _after in changed],  # mutable-ok: callee takes lists
         )
 
     async def _apply_guardrail_responses_to_output_streaming(

From 4fbe4ce2e225940b009d390543bd76694eece343 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 1 Sep 2026 17:29:52 -0700
Subject: [PATCH 020/223] fix(guardrail_translation): deliver stream rewrites
 on incomplete and failed responses terminals

---
 .../guardrail_translation/handler.py          | 60 ++++++++++++-------
 ...test_openai_responses_guardrail_handler.py | 56 +++++++++++++++++
 2 files changed, 93 insertions(+), 23 deletions(-)

diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index ac894401628..3c902f1b829 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -86,6 +86,15 @@ class ResponsesStreamChunk(TypedDict, total=False):
     text: ReadOnly[str]
 
 
+_TERMINAL_ENVELOPE_EVENT_TYPES: Final = frozenset(
+    {
+        ResponsesAPIStreamEvents.RESPONSE_COMPLETED.value,
+        ResponsesAPIStreamEvents.RESPONSE_FAILED.value,
+        ResponsesAPIStreamEvents.RESPONSE_INCOMPLETE.value,
+    }
+)
+
+
 def _next_stream_sequence_number(responses_so_far: Sequence[Any] | None) -> int:
     sequence_numbers: Final = (
         item.get("sequence_number") if isinstance(item, dict) else getattr(item, "sequence_number", None)
@@ -507,14 +516,17 @@ class OpenAIResponsesHandler(BaseTranslation):
         chunk, apply the guardrail, then write the result back in-place so the
         caller sees the modified content (e.g. PII tokens replaced).
 
-        For ``response.completed`` events (the normal end-of-stream signal) we
-        use the same per-item extraction + task-mapping approach as
-        ``process_output_response`` so that unmasking / blocking works correctly
-        for every output item. With ``deliver_ended_stream_rewrites`` the earlier
-        text-carrying events (``response.output_text.delta`` / ``.done``,
+        For terminal envelope events (``response.completed``, and equally
+        ``response.incomplete`` / ``response.failed``, whose envelopes carry the
+        partial output) we use the same per-item extraction + task-mapping
+        approach as ``process_output_response`` so that unmasking / blocking
+        works correctly for every output item. With
+        ``deliver_ended_stream_rewrites`` the earlier text-carrying events
+        (``response.output_text.delta`` / ``.done``,
         ``response.content_part.done``, ``response.output_item.done``) are synced
-        to the rewritten completed response too, so a client reading deltas sees
-        the rewrite instead of the raw model output.
+        to the rewritten envelope too, so a client reading deltas sees the
+        rewrite instead of the raw model output; a rewrite observed where no
+        write-back is possible fails closed instead of releasing raw output.
         """
         if not responses_so_far:
             return responses_so_far
@@ -526,14 +538,16 @@ class OpenAIResponsesHandler(BaseTranslation):
             return responses_so_far
 
         # ------------------------------------------------------------------ #
-        # Case 1: response.completed — full response is available in the      #
-        # final chunk; iterate output items, apply guardrail, write back.     #
+        # Case 1: terminal envelope events (completed/incomplete/failed).     #
+        # the accumulated response is available in the final chunk; iterate   #
+        # output items, apply guardrail, write back. Falls through to the     #
+        # string fallback when the envelope yields nothing to check.          #
         # ------------------------------------------------------------------ #
-        if final_chunk.get("type") == "response.completed":
+        if final_chunk.get("type") in _TERMINAL_ENVELOPE_EVENT_TYPES:
             response_obj: Final[ResponseOutputEnvelope] = final_chunk.get("response") or {}
-            if not hasattr(response_obj, "get"):
-                return responses_so_far
-            outputs: Final[Sequence[object]] = response_obj.get("output") or []
+            outputs: Final[Sequence[object]] = (
+                (response_obj.get("output") or []) if hasattr(response_obj, "get") else []
+            )
 
             texts_to_check: Final[list[str]] = []
             tool_calls_to_check: Final[list[ChatCompletionToolCallChunk]] = []
@@ -596,8 +610,7 @@ class OpenAIResponsesHandler(BaseTranslation):
                             stream_events=responses_so_far[:-1],
                             rewrites_by_position=rewrites_by_position,
                         )
-
-            return responses_so_far
+                return responses_so_far
 
         # ------------------------------------------------------------------ #
         # Case 2: response.output_item.done — extract tool calls only.        #
@@ -623,7 +636,8 @@ class OpenAIResponsesHandler(BaseTranslation):
         # ------------------------------------------------------------------ #
         # Fallback: apply guardrail to the accumulated text string.           #
         # No structured write-back is possible here; guardrails that only     #
-        # need to block/flag (not rewrite) still work correctly.             #
+        # need to block/flag (not rewrite) still work correctly, and a        #
+        # rewrite a caller expects delivered fails closed instead.            #
         # ------------------------------------------------------------------ #
         string_so_far: Final = self.get_streaming_string_so_far(responses_so_far)
         if string_so_far:
@@ -633,12 +647,17 @@ class OpenAIResponsesHandler(BaseTranslation):
             )
             if response_model:
                 fallback_inputs["model"] = response_model
-            await guardrail_to_apply.apply_guardrail(
+            fallback_outputs: Final = await guardrail_to_apply.apply_guardrail(
                 inputs=fallback_inputs,
                 request_data=request_data if request_data is not None else {},
                 input_type="response",
                 logging_obj=litellm_logging_obj,
             )
+            fallback_texts: Final = fallback_outputs.get("texts")
+            if deliver_ended_stream_rewrites and fallback_texts and tuple(fallback_texts) != (string_so_far,):
+                from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+                raise UndeliverableStreamRewrite(guardrail_to_apply.guardrail_name or "unknown")
         return responses_so_far
 
     @staticmethod
@@ -704,12 +723,7 @@ class OpenAIResponsesHandler(BaseTranslation):
         """
         if not responses_so_far:
             return False
-        terminal_types: Final = {
-            ResponsesAPIStreamEvents.RESPONSE_COMPLETED.value,
-            ResponsesAPIStreamEvents.RESPONSE_FAILED.value,
-            ResponsesAPIStreamEvents.RESPONSE_INCOMPLETE.value,
-        }
-        return responses_so_far[-1].get("type") in terminal_types
+        return responses_so_far[-1].get("type") in _TERMINAL_ENVELOPE_EVENT_TYPES
 
     def build_stream_error_items(
         self,
diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
index 4f95e08cb71..dfd6352f9ec 100644
--- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -1171,6 +1171,62 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
         assert events[4]["item"]["content"][0]["text"] == "hello [MASKED]"
         assert events[5]["response"]["output"][0]["content"][0]["text"] == "hello [MASKED]"
 
+    @pytest.mark.asyncio
+    @pytest.mark.parametrize("terminal_type", ["response.incomplete", "response.failed"])
+    async def test_deliver_ended_stream_rewrites_syncs_non_completed_terminals(self, terminal_type):
+        handler = OpenAIResponsesHandler()
+        events = self._ended_stream_events()
+        events[-1]["type"] = terminal_type
+        events[-1]["response"]["status"] = terminal_type.split(".")[-1]
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=self._masking_guardrail(),
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is events
+        assert events[0]["delta"] == "hello [MASKED]"
+        assert events[1]["delta"] == ""
+        assert events[2]["text"] == "hello [MASKED]"
+        assert events[3]["part"]["text"] == "hello [MASKED]"
+        assert events[4]["item"]["content"][0]["text"] == "hello [MASKED]"
+        assert events[5]["response"]["output"][0]["content"][0]["text"] == "hello [MASKED]"
+
+    @pytest.mark.asyncio
+    async def test_fallback_rewrite_with_delivery_expected_fails_closed(self):
+        from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+        handler = OpenAIResponsesHandler()
+        events = [
+            {"type": "response.output_text.delta", "output_index": 0, "content_index": 0, "delta": "hello "},
+            {"type": "response.output_text.done", "output_index": 0, "content_index": 0, "text": "hello world"},
+        ]
+
+        with pytest.raises(UndeliverableStreamRewrite):
+            await handler.process_output_streaming_response(
+                responses_so_far=events,
+                guardrail_to_apply=self._masking_guardrail(),
+                litellm_logging_obj=None,
+                deliver_ended_stream_rewrites=True,
+            )
+
+    @pytest.mark.asyncio
+    async def test_fallback_rewrite_without_delivery_expected_does_not_raise(self):
+        handler = OpenAIResponsesHandler()
+        events = [
+            {"type": "response.output_text.done", "output_index": 0, "content_index": 0, "text": "hello world"},
+        ]
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=self._masking_guardrail(),
+            litellm_logging_obj=None,
+        )
+
+        assert result is events
+
     @pytest.mark.asyncio
     async def test_ended_stream_rewrite_leaves_delta_events_untouched_by_default(self):
         handler = OpenAIResponsesHandler()

From c9435b5ff3f72c6d9c5ebfa30175498bc5928daf Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 1 Sep 2026 18:00:42 -0700
Subject: [PATCH 021/223] fix(guardrails): key stream rewrites by choice index
 and scan delta-only responses buffers

Chat streaming write-backs now match chunks by the choice's index field
instead of its list position, delivering rewrites to the right choice on
n>1 streams; an ended-stream rewrite on a multi-choice buffer fails
closed since stream_chunk_builder collapses the choices. The Responses
fallback joins output_text.delta events when delivery is expected, so a
delta-only buffer is guardrail-checked instead of released raw.
---
 .../chat/guardrail_translation/handler.py     | 50 ++++++----
 .../guardrail_translation/handler.py          | 31 +++++--
 .../test_openai_guardrail_handler.py          | 93 +++++++++++++++++++
 ...test_openai_responses_guardrail_handler.py | 71 ++++++++++++++
 4 files changed, 222 insertions(+), 23 deletions(-)

diff --git a/litellm/llms/openai/chat/guardrail_translation/handler.py b/litellm/llms/openai/chat/guardrail_translation/handler.py
index 02206a36b0e..182dec81937 100644
--- a/litellm/llms/openai/chat/guardrail_translation/handler.py
+++ b/litellm/llms/openai/chat/guardrail_translation/handler.py
@@ -620,6 +620,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
                 responses_so_far=responses_so_far,
                 guardrailed_response=model_response,
                 pre_guardrail_texts=pre_guardrail_texts,
+                guardrail_name=guardrail_to_apply.guardrail_name or "unknown",
             )
 
     def build_stream_error_items(
@@ -747,8 +748,8 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         """
         combined_texts: Final[dict[tuple[int, int | None], str]] = {}
 
-        for response_idx, response in enumerate(responses_so_far):
-            for choice_idx, choice in enumerate(response.choices):
+        for response in responses_so_far:
+            for choice in response.choices:
                 if isinstance(choice, litellm.StreamingChoices):
                     content = choice.delta.content
                 elif isinstance(choice, litellm.Choices):
@@ -761,7 +762,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
 
                 if isinstance(content, str):
                     # String content - accumulate for this choice
-                    str_key: tuple[int, int | None] = (choice_idx, None)
+                    str_key: tuple[int, int | None] = (choice.index, None)
                     if str_key not in combined_texts:
                         combined_texts[str_key] = ""
                     combined_texts[str_key] += content
@@ -772,7 +773,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
                         text_str = content_item.get("text")
                         if text_str:
                             list_key: tuple[int, int | None] = (
-                                choice_idx,
+                                choice.index,
                                 content_idx,
                             )
                             if list_key not in combined_texts:
@@ -973,24 +974,38 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         responses_so_far: list["ModelResponseStream"],  # mutable-ok: rewrites the caller's buffered chunks in place
         guardrailed_response: "ModelResponse",
         pre_guardrail_texts: tuple[str | None, ...],
+        guardrail_name: str,
     ) -> None:
         """Write ended-stream guardrail text rewrites back across the buffered
-        chunks: each rewritten choice's full text lands in its first
+        chunks: the full rewritten text lands in the choice's first
         content-carrying chunk and the rest are blanked, the same shape the
         in-flight write-back uses. Chunks carrying only finish_reason or usage
-        stay untouched."""
+        stay untouched. A rewrite on a stream carrying more than one distinct
+        choice index fails closed."""
         post_guardrail_texts: Final = self._string_choice_contents(guardrailed_response)
         changed: Final = tuple(
-            (choice_idx, after)
-            for choice_idx, (before, after) in enumerate(zip(pre_guardrail_texts, post_guardrail_texts))
+            after
+            for before, after in zip(pre_guardrail_texts, post_guardrail_texts)
             if before is not None and after is not None and after != before
         )
         if not changed:
             return
+        stream_choice_indices: Final = frozenset(
+            choice.index for response in responses_so_far for choice in response.choices
+        )
+        if len(stream_choice_indices) != 1:
+            # stream_chunk_builder collapses every choice into one index-0
+            # choice, so a rewrite of the rebuilt response cannot be attributed
+            # back to a single choice on an n>1 stream: withhold the stream
+            # rather than deliver the rewrite on the wrong choice
+            from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+            raise UndeliverableStreamRewrite(guardrail_name)
+        target_choice_index: Final = next(iter(stream_choice_indices))
         await self._apply_guardrail_responses_to_output_streaming(
             responses=responses_so_far,
-            guardrailed_texts=[after for _choice_idx, after in changed],  # mutable-ok: callee takes lists
-            task_mappings=[(choice_idx, None) for choice_idx, _after in changed],  # mutable-ok: callee takes lists
+            guardrailed_texts=list(changed),  # mutable-ok: callee takes lists
+            task_mappings=[(target_choice_index, None) for _ in changed],  # mutable-ok: callee takes lists
         )
 
     async def _apply_guardrail_responses_to_output_streaming(
@@ -1008,7 +1023,8 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         Args:
             responses: List of ModelResponseStream objects to modify
             guardrailed_texts: List of guardrailed text responses (combined from all chunks)
-            task_mappings: List of tuples (choice_idx, content_idx)
+            task_mappings: List of tuples (choice_idx, content_idx), where choice_idx
+                is the choice's ``index`` field, not its position in a chunk's list
 
         Override this method to customize how responses are applied to streaming responses.
         """
@@ -1024,9 +1040,11 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         # Key: (choice_idx, content_idx), Value: boolean (True if already set)
         already_set: Final[dict[tuple[int, int | None], bool]] = {}
 
-        # Iterate through all responses and update content
-        for response_idx, response in enumerate(responses):
-            for choice_idx_in_response, choice in enumerate(response.choices):
+        # Iterate through all responses and update content, matching each chunk's
+        # choice by its index field: on n>1 streams a chunk usually carries one
+        # choice at list position 0 whose index names the logical choice.
+        for response in responses:
+            for choice in response.choices:
                 if isinstance(choice, litellm.StreamingChoices):
                     content = choice.delta.content
                 elif isinstance(choice, litellm.Choices):
@@ -1039,7 +1057,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
 
                 if isinstance(content, str):
                     # String content
-                    str_key: tuple[int, int | None] = (choice_idx_in_response, None)
+                    str_key: tuple[int, int | None] = (choice.index, None)
                     if str_key in guardrail_map:
                         if str_key not in already_set:
                             # First chunk - set the complete guardrailed text
@@ -1060,7 +1078,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
                     for content_idx, content_item in enumerate(content):
                         if "text" in content_item:
                             list_key: tuple[int, int | None] = (
-                                choice_idx_in_response,
+                                choice.index,
                                 content_idx,
                             )
                             if list_key in guardrail_map:
diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index 3c902f1b829..ebd1070a8e8 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -634,14 +634,20 @@ class OpenAIResponsesHandler(BaseTranslation):
             return responses_so_far
 
         # ------------------------------------------------------------------ #
-        # Fallback: apply guardrail to the accumulated text string.           #
-        # No structured write-back is possible here; guardrails that only     #
-        # need to block/flag (not rewrite) still work correctly, and a        #
-        # rewrite a caller expects delivered fails closed instead.            #
+        # Fallback: apply guardrail to the accumulated text string. When a    #
+        # caller expects rewrites delivered and only output_text.delta events #
+        # carried the text (a stream cut off before any .done or terminal     #
+        # envelope), the delta text is scanned instead so nothing escapes     #
+        # unchecked. No structured write-back is possible here; guardrails    #
+        # that only need to block/flag (not rewrite) still work correctly,    #
+        # and a rewrite a caller expects delivered fails closed instead.      #
         # ------------------------------------------------------------------ #
         string_so_far: Final = self.get_streaming_string_so_far(responses_so_far)
-        if string_so_far:
-            fallback_inputs: Final = GenericGuardrailAPIInputs(texts=[string_so_far])
+        text_to_check: Final = string_so_far or (
+            self._delta_text_so_far(responses_so_far) if deliver_ended_stream_rewrites else ""
+        )
+        if text_to_check:
+            fallback_inputs: Final = GenericGuardrailAPIInputs(texts=[text_to_check])
             response_model = (
                 final_chunk.get("response", {}).get("model") if isinstance(final_chunk.get("response"), dict) else None
             )
@@ -654,7 +660,7 @@ class OpenAIResponsesHandler(BaseTranslation):
                 logging_obj=litellm_logging_obj,
             )
             fallback_texts: Final = fallback_outputs.get("texts")
-            if deliver_ended_stream_rewrites and fallback_texts and tuple(fallback_texts) != (string_so_far,):
+            if deliver_ended_stream_rewrites and fallback_texts and tuple(fallback_texts) != (text_to_check,):
                 from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
 
                 raise UndeliverableStreamRewrite(guardrail_to_apply.guardrail_name or "unknown")
@@ -754,6 +760,17 @@ class OpenAIResponsesHandler(BaseTranslation):
         """
         return "".join([response.get("text", "") for response in responses_so_far])
 
+    @staticmethod
+    def _delta_text_so_far(responses_so_far: Sequence[ResponsesStreamChunk]) -> str:
+        """Accumulate the text carried by ``response.output_text.delta`` events,
+        for buffers where no ``.done`` event or terminal envelope repeats it."""
+        deltas: Final = (
+            response.get("delta")
+            for response in responses_so_far
+            if response.get("type") == ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA.value
+        )
+        return "".join(delta for delta in deltas if isinstance(delta, str))
+
     def _has_text_content(self, response: "ResponsesAPIResponse") -> bool:
         """
         Check if response has any text content to process.
diff --git a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
index 26442a4a6ed..b177d4a73d4 100644
--- a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
@@ -1128,6 +1128,99 @@ class TestOpenAIChatCompletionsHandlerStreamingOutput:
         assert chunks[1].choices[0].delta.content == " world"
         assert chunks[1].choices[0].finish_reason == "stop"
 
+    @staticmethod
+    def _two_choice_stream_chunks() -> list:
+        from litellm.types.utils import Delta, ModelResponseStream, StreamingChoices
+
+        def chunk(index: int, content: str, finish_reason: Optional[str] = None) -> ModelResponseStream:
+            return ModelResponseStream(
+                id="chatcmpl-123",
+                created=1234567890,
+                model="gpt-4",
+                object="chat.completion.chunk",
+                choices=[StreamingChoices(index=index, delta=Delta(content=content), finish_reason=finish_reason)],
+            )
+
+        return [
+            chunk(0, "safe "),
+            chunk(1, "hello "),
+            chunk(0, "text", "stop"),
+            chunk(1, "world", "stop"),
+        ]
+
+    @staticmethod
+    def _world_masking_guardrail() -> CustomGuardrail:
+        class MaskWorld(CustomGuardrail):
+            async def apply_guardrail(
+                self,
+                inputs: GenericGuardrailAPIInputs,
+                request_data: dict,
+                input_type: Literal["request", "response"],
+                logging_obj: Optional[Any] = None,
+            ) -> GenericGuardrailAPIInputs:
+                texts = inputs.get("texts", [])
+                return {**inputs, "texts": [t.replace("world", "[MASKED]") for t in texts]}
+
+        return MaskWorld(guardrail_name="test-mask")
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrite_on_multi_choice_stream_fails_closed(self):
+        from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+        handler = OpenAIChatCompletionsHandler()
+        chunks = self._two_choice_stream_chunks()
+
+        with pytest.raises(UndeliverableStreamRewrite):
+            await handler.process_output_streaming_response(
+                responses_so_far=chunks,
+                guardrail_to_apply=self._world_masking_guardrail(),
+                litellm_logging_obj=None,
+                deliver_ended_stream_rewrites=True,
+            )
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_clean_multi_choice_stream_released_untouched(self):
+        handler = OpenAIChatCompletionsHandler()
+        chunks = self._two_choice_stream_chunks()
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=MockPassThroughGuardrail(guardrail_name="test"),
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is chunks
+        assert [c.choices[0].delta.content for c in chunks] == ["safe ", "hello ", "text", "world"]
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrite_lands_on_nonzero_choice_index(self):
+        from litellm.types.utils import Delta, ModelResponseStream, StreamingChoices
+
+        handler = OpenAIChatCompletionsHandler()
+
+        def chunk(content: str, finish_reason: Optional[str]) -> ModelResponseStream:
+            return ModelResponseStream(
+                id="chatcmpl-123",
+                created=1234567890,
+                model="gpt-4",
+                object="chat.completion.chunk",
+                choices=[StreamingChoices(index=1, delta=Delta(content=content), finish_reason=finish_reason)],
+            )
+
+        chunks = [chunk("hello ", None), chunk("world", "stop")]
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=self._world_masking_guardrail(),
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is chunks
+        assert chunks[0].choices[0].delta.content == "hello [MASKED]"
+        assert chunks[1].choices[0].delta.content in (None, "")
+
 
 class TestGetStructuredMessages:
     """Test the get_structured_messages method."""
diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
index dfd6352f9ec..ae3700b1123 100644
--- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -1212,6 +1212,77 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
                 deliver_ended_stream_rewrites=True,
             )
 
+    @staticmethod
+    def _recording_guardrail() -> "tuple[CustomGuardrail, List[List[str]]]":
+        seen: List[List[str]] = []
+
+        class Recorder(CustomGuardrail):
+            async def apply_guardrail(
+                self,
+                inputs: GenericGuardrailAPIInputs,
+                request_data: dict,
+                input_type: Literal["request", "response"],
+                logging_obj: Optional[Any] = None,
+            ) -> GenericGuardrailAPIInputs:
+                seen.append(list(inputs.get("texts", [])))
+                return inputs
+
+        return Recorder(guardrail_name="recorder"), seen
+
+    @pytest.mark.asyncio
+    async def test_fallback_delta_only_rewrite_with_delivery_expected_fails_closed(self):
+        from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+        handler = OpenAIResponsesHandler()
+        events = [
+            {"type": "response.output_text.delta", "output_index": 0, "content_index": 0, "delta": "hello "},
+            {"type": "response.output_text.delta", "output_index": 0, "content_index": 0, "delta": "world"},
+        ]
+
+        with pytest.raises(UndeliverableStreamRewrite):
+            await handler.process_output_streaming_response(
+                responses_so_far=events,
+                guardrail_to_apply=self._masking_guardrail(),
+                litellm_logging_obj=None,
+                deliver_ended_stream_rewrites=True,
+            )
+
+    @pytest.mark.asyncio
+    async def test_fallback_scans_delta_text_when_delivery_expected(self):
+        handler = OpenAIResponsesHandler()
+        guardrail, seen = self._recording_guardrail()
+        events = [
+            {"type": "response.output_text.delta", "output_index": 0, "content_index": 0, "delta": "hello "},
+            {"type": "response.output_text.delta", "output_index": 0, "content_index": 0, "delta": "there"},
+        ]
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=guardrail,
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is events
+        assert seen == [["hello there"]]
+
+    @pytest.mark.asyncio
+    async def test_fallback_ignores_delta_text_without_delivery_expected(self):
+        handler = OpenAIResponsesHandler()
+        guardrail, seen = self._recording_guardrail()
+        events = [
+            {"type": "response.output_text.delta", "output_index": 0, "content_index": 0, "delta": "hello world"},
+        ]
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=guardrail,
+            litellm_logging_obj=None,
+        )
+
+        assert result is events
+        assert seen == []
+
     @pytest.mark.asyncio
     async def test_fallback_rewrite_without_delivery_expected_does_not_raise(self):
         handler = OpenAIResponsesHandler()

From c09db7c7a3d77d3ccd6a1a2163778b6f22f29a8f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 1 Sep 2026 22:01:04 -0700
Subject: [PATCH 022/223] Fail closed on rewrites for buffers that never
 reached their terminal event

An Anthropic buffer without a stop_reason only ran the flat text scan, so a
rewrite there was dropped while the executor trusted the translation to have
delivered it. A Responses buffer ending at response.output_item.done returned
after the tool-call scan without ever checking the text. Both now reach the
flat scan and raise UndeliverableStreamRewrite when a caller expects the
rewrite delivered, matching the existing Responses no-envelope fallback.
---
 .../chat/guardrail_translation/handler.py     |  8 +++-
 .../guardrail_translation/handler.py          |  7 ++-
 .../test_anthropic_guardrail_handler.py       | 46 +++++++++++++++++++
 ...test_openai_responses_guardrail_handler.py | 46 +++++++++++++++++++
 4 files changed, 104 insertions(+), 3 deletions(-)

diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
index 091ad8ecba9..fc276dd7fe6 100644
--- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py
+++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
@@ -1020,7 +1020,8 @@ class AnthropicMessagesHandler(BaseTranslation):
 
         Get the string so far, check the apply guardrail to the string so far, and return the list of responses so far.
         With ``deliver_ended_stream_rewrites``, an ended stream whose guardrail rewrote the text gets the rewrite
-        written back across the buffered chunks (full rewritten text in the first ``text_delta``, the rest blanked).
+        written back across the buffered chunks (full rewritten text in the first ``text_delta``, the rest blanked);
+        a rewrite on a stream that never reported a ``stop_reason`` has no write-back and fails closed instead.
         """
         from litellm.integrations.custom_guardrail import ModifyResponseException
 
@@ -1098,6 +1099,11 @@ class AnthropicMessagesHandler(BaseTranslation):
             if e.original_response is None:
                 e.original_response = self._build_streaming_usage_response(responses_so_far, request_data)
             raise
+        unended_texts: Final = _guardrailed_inputs.get("texts")
+        if deliver_ended_stream_rewrites and unended_texts and tuple(unended_texts) != (string_so_far,):
+            from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+            raise UndeliverableStreamRewrite(guardrail_to_apply.guardrail_name or "unknown")
         return responses_so_far
 
     def _prepare_request_data(
diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index 8b808348c79..724a0a1d2f0 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -638,7 +638,9 @@ class OpenAIResponsesHandler(BaseTranslation):
                 return responses_so_far
 
         # ------------------------------------------------------------------ #
-        # Case 2: response.output_item.done — extract tool calls only.        #
+        # Case 2: response.output_item.done — extract tool calls only, then  #
+        # fall through to the text fallback when a caller expects rewrites   #
+        # delivered, so a buffer truncated here still fails closed on text.  #
         # ------------------------------------------------------------------ #
         if final_chunk.get("type") == "response.output_item.done":
             model_response_stream: Final = (
@@ -656,7 +658,8 @@ class OpenAIResponsesHandler(BaseTranslation):
                     input_type="response",
                     logging_obj=litellm_logging_obj,
                 )
-            return responses_so_far
+            if not deliver_ended_stream_rewrites:
+                return responses_so_far
 
         # ------------------------------------------------------------------ #
         # Fallback: apply guardrail to the accumulated text string.           #
diff --git a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
index f60655cd7ec..274c351ebc7 100644
--- a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
+++ b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
@@ -328,6 +328,52 @@ class TestAnthropicMessagesHandlerStreamingOutputProcessing:
 
         assert chunks == original
 
+    @pytest.mark.asyncio
+    async def test_unended_stream_rewrite_with_delivery_expected_fails_closed(self):
+        from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+        handler = AnthropicMessagesHandler()
+        chunks = self._ended_sse_chunks()[:-2]
+
+        with pytest.raises(UndeliverableStreamRewrite):
+            await handler.process_output_streaming_response(
+                responses_so_far=chunks,
+                guardrail_to_apply=self._masking_guardrail(),
+                litellm_logging_obj=MagicMock(),
+                deliver_ended_stream_rewrites=True,
+            )
+
+    @pytest.mark.asyncio
+    async def test_unended_stream_without_rewrite_is_released_with_delivery_expected(self):
+        handler = AnthropicMessagesHandler()
+        chunks = self._ended_sse_chunks()[:-2]
+        original = [bytes(chunk) for chunk in chunks]
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=MockPassThroughGuardrail(guardrail_name="test"),
+            litellm_logging_obj=MagicMock(),
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is chunks
+        assert chunks == original
+
+    @pytest.mark.asyncio
+    async def test_unended_stream_rewrite_without_delivery_expected_does_not_raise(self):
+        handler = AnthropicMessagesHandler()
+        chunks = self._ended_sse_chunks()[:-2]
+        original = [bytes(chunk) for chunk in chunks]
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=self._masking_guardrail(),
+            litellm_logging_obj=MagicMock(),
+        )
+
+        assert result is chunks
+        assert chunks == original
+
 
 class TestAnthropicMessagesHandlerInputProcessing:
     """Test input processing preserves litellm_metadata for dynamic guardrails."""
diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
index 155b9ef9810..bd07e924d12 100644
--- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -1248,6 +1248,52 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
                 deliver_ended_stream_rewrites=True,
             )
 
+    @pytest.mark.asyncio
+    async def test_output_item_done_last_rewrite_with_delivery_expected_fails_closed(self):
+        from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+        handler = OpenAIResponsesHandler()
+        events = self._ended_stream_events()[:-1]
+
+        with pytest.raises(UndeliverableStreamRewrite):
+            await handler.process_output_streaming_response(
+                responses_so_far=events,
+                guardrail_to_apply=self._masking_guardrail(),
+                litellm_logging_obj=None,
+                deliver_ended_stream_rewrites=True,
+            )
+
+    @pytest.mark.asyncio
+    async def test_output_item_done_last_scans_text_with_delivery_expected(self):
+        handler = OpenAIResponsesHandler()
+        events = self._ended_stream_events()[:-1]
+        guardrail = MockRecordingGuardrail(guardrail_name="test")
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=guardrail,
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is events
+        assert [inputs.get("texts") for inputs in guardrail.seen_inputs] == [["hello world"]]
+
+    @pytest.mark.asyncio
+    async def test_output_item_done_last_without_delivery_expected_skips_text(self):
+        handler = OpenAIResponsesHandler()
+        events = self._ended_stream_events()[:-1]
+        guardrail = MockRecordingGuardrail(guardrail_name="test")
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=guardrail,
+            litellm_logging_obj=None,
+        )
+
+        assert result is events
+        assert guardrail.seen_inputs == []
+
     @pytest.mark.asyncio
     async def test_fallback_rewrite_without_delivery_expected_does_not_raise(self):
         handler = OpenAIResponsesHandler()

From bede8b5ea46c24b20d138c79025dd67beee97763 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Thu, 3 Sep 2026 02:49:49 -0700
Subject: [PATCH 023/223] fix(proxy): stop shipping the literal string "None"
 as error type and param

The proxy's exception tails defaulted `type` and `param` to the four-character
string "None", which is neither a known OpenAI error type nor the JSON null the
nullable `param` field is typed as, so a client's error handler matched nothing
and fell into its generic branch.

Lifts the helpers PR #39521 added for the unified LLM endpoints into
litellm/proxy/common_utils/openai_error_payload.py and calls them from the file,
rerank, image, realtime, anthropic, and pass-through route families, plus the
shared handle_exception_on_proxy handler that the management, batches,
fine-tuning, credential, SCIM, guardrail, and customer routes funnel through.

The remaining families (proxy_server, auth, health, spend tracking, and
management endpoints) follow in separate PRs so each slice stays QA'able on a
live proxy.
---
 .../proxy/anthropic_endpoints/endpoints.py    |  11 +-
 litellm/proxy/common_request_processing.py    |  78 ++++--------
 .../common_utils/openai_error_payload.py      |  48 +++++++
 litellm/proxy/image_endpoints/endpoints.py    |  17 ++-
 .../openai_files_endpoints/files_endpoints.py | 109 ++++++++--------
 .../pass_through_endpoints.py                 |  23 ++--
 litellm/proxy/realtime_endpoints/endpoints.py |  41 +++---
 litellm/proxy/rerank_endpoints/endpoints.py   |  17 ++-
 litellm/proxy/utils.py                        |   5 +-
 .../common_utils/test_openai_error_payload.py | 117 ++++++++++++++++++
 .../test_files_endpoint.py                    |  10 +-
 .../proxy/utils/helpers/test_error_helpers.py |   2 +-
 12 files changed, 320 insertions(+), 158 deletions(-)
 create mode 100644 litellm/proxy/common_utils/openai_error_payload.py
 create mode 100644 tests/test_litellm/proxy/common_utils/test_openai_error_payload.py

diff --git a/litellm/proxy/anthropic_endpoints/endpoints.py b/litellm/proxy/anthropic_endpoints/endpoints.py
index 7f0045c1d93..f26cb4d41f7 100644
--- a/litellm/proxy/anthropic_endpoints/endpoints.py
+++ b/litellm/proxy/anthropic_endpoints/endpoints.py
@@ -25,6 +25,11 @@ from litellm.proxy.common_request_processing import (
     proxy_exception_from_http_exception,
 )
 from litellm.proxy.common_utils.http_parsing_utils import _read_request_body
+from litellm.proxy.common_utils.openai_error_payload import (
+    error_status_code,
+    openai_error_param,
+    openai_error_type,
+)
 from litellm.types.utils import TokenCountResponse
 
 router: Final = APIRouter()
@@ -221,9 +226,9 @@ async def anthropic_response(
         error_msg: Final = f"{e}"
         raise ProxyException(
             message=getattr(e, "message", error_msg),
-            type=getattr(e, "type", "None"),
-            param=getattr(e, "param", "None"),
-            code=getattr(e, "status_code", 500),
+            type=openai_error_type(e, error_status_code(e, 500)),
+            param=openai_error_param(e),
+            code=error_status_code(e, 500),
             headers=headers,
         )
 
diff --git a/litellm/proxy/common_request_processing.py b/litellm/proxy/common_request_processing.py
index 6542842f5e4..99028c3645a 100644
--- a/litellm/proxy/common_request_processing.py
+++ b/litellm/proxy/common_request_processing.py
@@ -54,6 +54,12 @@ from litellm.proxy.common_utils.callback_utils import (
     get_logging_caching_headers,
     get_remaining_tokens_and_requests_from_request_data,
 )
+from litellm.proxy.common_utils.openai_error_payload import (
+    attribute_of,
+    error_status_code,
+    openai_error_param,
+    openai_error_type,
+)
 from litellm.proxy.common_utils.sse_keepalive import (
     SSE_COMMENT_PING_BYTES,
     coerce_keepalive_interval,
@@ -463,46 +469,6 @@ def _stream_usage_tracking_updates(
     }
 
 
-def _getattr_object(value: object, name: str, default: object = None) -> object:
-    return getattr(value, name, default)
-
-
-_OPENAI_ERROR_TYPE_BY_STATUS: Final[Mapping[int, str]] = MappingProxyType(
-    {
-        status.HTTP_401_UNAUTHORIZED: "authentication_error",
-        status.HTTP_403_FORBIDDEN: "permission_error",
-        status.HTTP_429_TOO_MANY_REQUESTS: "rate_limit_error",
-    }
-)
-
-
-def _error_status_code(exc: object, default: int) -> int:
-    """The HTTP status an exception carries, or ``default`` when it carries none."""
-    carried: Final = _getattr_object(exc, "status_code")
-    return carried if isinstance(carried, int) and not isinstance(carried, bool) else default
-
-
-def _openai_error_type(exc: object, status_code: int) -> str:
-    """OpenAI types ``error.type`` as a required string, so an exception carrying none
-    falls back to the type its status code stands for."""
-    carried: Final = _getattr_object(exc, "type")
-    if isinstance(carried, str):
-        return carried
-    mapped: Final = _OPENAI_ERROR_TYPE_BY_STATUS.get(status_code)
-    if mapped is not None:
-        return mapped
-    if status_code < status.HTTP_500_INTERNAL_SERVER_ERROR:
-        return "invalid_request_error"
-    return "internal_server_error"
-
-
-def _openai_error_param(exc: object) -> str | None:
-    """OpenAI types ``error.param`` as nullable, so an exception carrying none
-    serializes as JSON ``null``."""
-    carried: Final = _getattr_object(exc, "param")
-    return carried if isinstance(carried, str) else None
-
-
 class _UpstreamHttpResponse(Protocol):
     @property
     def status_code(self) -> int: ...
@@ -572,15 +538,15 @@ def serialize_http_exception_detail(
 
 
 def proxy_exception_from_http_exception(exc: HTTPException, headers: dict[str, str]) -> ProxyException:
-    raw_detail: Final = _getattr_object(exc, "detail", str(exc))
+    raw_detail: Final = attribute_of(exc, "detail", str(exc))
     message, structured_fields = serialize_http_exception_detail(raw_detail)
     existing_fields: Final = getattr(exc, "provider_specific_fields", None) or {}
     merged_fields: Final = {**existing_fields, **structured_fields} if structured_fields else (existing_fields or None)
-    error_status: Final = _error_status_code(exc, status.HTTP_400_BAD_REQUEST)
+    error_status: Final = error_status_code(exc, status.HTTP_400_BAD_REQUEST)
     return ProxyException(
         message=message,
-        type=_openai_error_type(exc, error_status),
-        param=_openai_error_param(exc),
+        type=openai_error_type(exc, error_status),
+        param=openai_error_param(exc),
         code=error_status,
         provider_specific_fields=merged_fields,
         headers=headers,
@@ -864,8 +830,8 @@ def sse_error_payload(exc: BaseException) -> tuple[int, Mapping[str, object]]:
     are byte-identical.
     """
     # Preserve status code from HTTPException (e.g. guardrail blocks)
-    error_status: Final = _error_status_code(exc, status.HTTP_500_INTERNAL_SERVER_ERROR)
-    raw_detail: Final = _getattr_object(exc, "detail", "Error processing stream start")
+    error_status: Final = error_status_code(exc, status.HTTP_500_INTERNAL_SERVER_ERROR)
+    raw_detail: Final = attribute_of(exc, "detail", "Error processing stream start")
     message, structured_fields = serialize_http_exception_detail(raw_detail)
 
     existing_fields: Final = getattr(exc, "provider_specific_fields", None) or {}
@@ -873,8 +839,8 @@ def sse_error_payload(exc: BaseException) -> tuple[int, Mapping[str, object]]:
 
     error_obj: Final = {
         "message": message,
-        "type": _openai_error_type(exc, error_status),
-        "param": _openai_error_param(exc),
+        "type": openai_error_type(exc, error_status),
+        "param": openai_error_param(exc),
         "code": str(error_status),
     }
     if not merged_fields:
@@ -2755,10 +2721,10 @@ class ProxyBaseLLMRequestProcessing:
         ``ResponsesAPIResponse`` directly. Handle both shapes so the
         container-ownership recording path can walk ``.output`` either way.
         """
-        completed: Final = _getattr_object(stream_response, "completed_response")
+        completed: Final = attribute_of(stream_response, "completed_response")
         if completed is None:
             return None
-        response_obj: Final = _getattr_object(completed, "response")
+        response_obj: Final = attribute_of(completed, "response")
         if response_obj is not None:
             return response_obj
         return completed
@@ -3380,7 +3346,7 @@ class ProxyBaseLLMRequestProcessing:
         headers = getattr(e, "headers", None) or {}
         if not headers:
             # Try to get headers from e.response.headers (httpx.Response)
-            _response: Final = _getattr_object(e, "response")
+            _response: Final = attribute_of(e, "response")
             if _response is not None:
                 _response_headers: Final = getattr(_response, "headers", None)
                 if _response_headers:
@@ -3451,8 +3417,8 @@ class ProxyBaseLLMRequestProcessing:
             _code = status.HTTP_500_INTERNAL_SERVER_ERROR
         raise ProxyException(
             message=redact_internal_details_from_client_message(getattr(e, "message", error_msg)),
-            type=_openai_error_type(e, _code),
-            param=_openai_error_param(e),
+            type=openai_error_type(e, _code),
+            param=openai_error_param(e),
             openai_code=getattr(e, "code", None),
             code=_code,
             provider_specific_fields=getattr(e, "provider_specific_fields", None),
@@ -3662,11 +3628,11 @@ class ProxyBaseLLMRequestProcessing:
 
             if isinstance(e, HTTPException):
                 raise e
-            stream_error_status: Final = _error_status_code(e, status.HTTP_500_INTERNAL_SERVER_ERROR)
+            stream_error_status: Final = error_status_code(e, status.HTTP_500_INTERNAL_SERVER_ERROR)
             proxy_exception: Final = ProxyException(
                 message=redact_internal_details_from_client_message(getattr(e, "message", str(e))),
-                type=_openai_error_type(e, stream_error_status),
-                param=_openai_error_param(e),
+                type=openai_error_type(e, stream_error_status),
+                param=openai_error_param(e),
                 code=stream_error_status,
             )
             stream_completed = True
diff --git a/litellm/proxy/common_utils/openai_error_payload.py b/litellm/proxy/common_utils/openai_error_payload.py
new file mode 100644
index 00000000000..180ec152094
--- /dev/null
+++ b/litellm/proxy/common_utils/openai_error_payload.py
@@ -0,0 +1,48 @@
+"""Shapes the ``error`` object the proxy answers with so it matches OpenAI's contract:
+``type`` is a required string and ``param`` is nullable, neither of which the literal
+string ``"None"`` satisfies."""
+
+from collections.abc import Mapping
+from types import MappingProxyType
+from typing import Final
+
+from fastapi import status
+
+_OPENAI_ERROR_TYPE_BY_STATUS: Final[Mapping[int, str]] = MappingProxyType(
+    {
+        status.HTTP_401_UNAUTHORIZED: "authentication_error",
+        status.HTTP_403_FORBIDDEN: "permission_error",
+        status.HTTP_429_TOO_MANY_REQUESTS: "rate_limit_error",
+    }
+)
+
+
+def attribute_of(value: object, name: str, default: object = None) -> object:
+    return getattr(value, name, default)
+
+
+def error_status_code(exc: object, default: int) -> int:
+    """The HTTP status an exception carries, or ``default`` when it carries none."""
+    carried: Final = attribute_of(exc, "status_code")
+    return carried if isinstance(carried, int) and not isinstance(carried, bool) else default
+
+
+def openai_error_type(exc: object, status_code: int) -> str:
+    """OpenAI types ``error.type`` as a required string, so an exception carrying none
+    falls back to the type its status code stands for."""
+    carried: Final = attribute_of(exc, "type")
+    if isinstance(carried, str):
+        return carried
+    mapped: Final = _OPENAI_ERROR_TYPE_BY_STATUS.get(status_code)
+    if mapped is not None:
+        return mapped
+    if status_code < status.HTTP_500_INTERNAL_SERVER_ERROR:
+        return "invalid_request_error"
+    return "internal_server_error"
+
+
+def openai_error_param(exc: object) -> str | None:
+    """OpenAI types ``error.param`` as nullable, so an exception carrying none
+    serializes as JSON ``null``."""
+    carried: Final = attribute_of(exc, "param")
+    return carried if isinstance(carried, str) else None
diff --git a/litellm/proxy/image_endpoints/endpoints.py b/litellm/proxy/image_endpoints/endpoints.py
index 83caa92ede5..b83f7e5cd60 100644
--- a/litellm/proxy/image_endpoints/endpoints.py
+++ b/litellm/proxy/image_endpoints/endpoints.py
@@ -16,6 +16,11 @@ from litellm.litellm_core_utils.prompt_templates.common_utils import (
 from litellm.proxy._types import *
 from litellm.proxy.auth.user_api_key_auth import UserAPIKeyAuth, user_api_key_auth
 from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing
+from litellm.proxy.common_utils.openai_error_payload import (
+    error_status_code,
+    openai_error_param,
+    openai_error_type,
+)
 from litellm.proxy.route_llm_request import route_request
 from litellm.types.llms.openai import ChatCompletionUserMessage
 
@@ -193,18 +198,18 @@ async def image_generation(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, status.HTTP_400_BAD_REQUEST),
             )
         else:
             error_msg: Final = f"{e}"
             raise ProxyException(
                 message=getattr(e, "message", error_msg),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
+                type=openai_error_type(e, error_status_code(e, 500)),
+                param=openai_error_param(e),
                 openai_code=getattr(e, "code", None),
-                code=getattr(e, "status_code", 500),
+                code=error_status_code(e, 500),
             )
 
 
diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py
index bf07f4748ef..c315d30b8f3 100644
--- a/litellm/proxy/openai_files_endpoints/files_endpoints.py
+++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py
@@ -45,6 +45,11 @@ from litellm.proxy.common_utils.openai_endpoint_utils import (
     get_custom_llm_provider_from_request_headers,
     get_custom_llm_provider_from_request_query,
 )
+from litellm.proxy.common_utils.openai_error_payload import (
+    error_status_code,
+    openai_error_param,
+    openai_error_type,
+)
 from litellm.proxy.openai_files_endpoints.batch_file_validation import (
     check_batch_file_upload,
     raise_batch_file_validation_failure,
@@ -296,22 +301,22 @@ async def route_create_file(
         if managed_files_obj is None:
             raise ProxyException(
                 message="Managed files hook not found",
-                type="None",
-                param="None",
+                type=ProxyErrorTypes.internal_server_error.value,
+                param=None,
                 code=500,
             )
         if llm_router is None:
             raise ProxyException(
                 message="LLM Router not found",
-                type="None",
-                param="None",
+                type=ProxyErrorTypes.internal_server_error.value,
+                param=None,
                 code=500,
             )
         if not isinstance(managed_files_obj, BaseFileEndpoints):
             raise ProxyException(
                 message="Managed files hook is not a BaseFileEndpoints",
-                type="None",
-                param="None",
+                type=ProxyErrorTypes.internal_server_error.value,
+                param=None,
                 code=500,
             )
         # Managed files internally calls llm_router.acreate_file() which includes loadbalancing
@@ -713,17 +718,17 @@ async def create_file(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e.detail)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, status.HTTP_400_BAD_REQUEST),
             )
         else:
             error_msg: Final = f"{e}"
             raise ProxyException(
                 message=getattr(e, "message", error_msg),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", 500),
+                type=openai_error_type(e, error_status_code(e, 500)),
+                param=openai_error_param(e),
+                code=error_status_code(e, 500),
             )
     finally:
         for spool in spools:
@@ -812,22 +817,22 @@ async def get_file_content(
             if managed_files_obj is None:
                 raise ProxyException(
                     message="Managed files hook not found",
-                    type="None",
-                    param="None",
+                    type=ProxyErrorTypes.internal_server_error.value,
+                    param=None,
                     code=500,
                 )
             if llm_router is None:
                 raise ProxyException(
                     message="LLM Router not found",
-                    type="None",
-                    param="None",
+                    type=ProxyErrorTypes.internal_server_error.value,
+                    param=None,
                     code=500,
                 )
             if not isinstance(managed_files_obj, BaseFileEndpoints):
                 raise ProxyException(
                     message="Managed files hook is not a BaseFileEndpoints",
-                    type="None",
-                    param="None",
+                    type=ProxyErrorTypes.internal_server_error.value,
+                    param=None,
                     code=500,
                 )
 
@@ -1021,17 +1026,17 @@ async def get_file_content(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e.detail)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, status.HTTP_400_BAD_REQUEST),
             )
         else:
             error_msg: Final = f"{e}"
             raise ProxyException(
                 message=getattr(e, "message", error_msg),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", 500),
+                type=openai_error_type(e, error_status_code(e, 500)),
+                param=openai_error_param(e),
+                code=error_status_code(e, 500),
             )
 
 
@@ -1151,15 +1156,15 @@ async def get_file(
             if managed_files_obj is None:
                 raise ProxyException(
                     message="Managed files hook not found",
-                    type="None",
-                    param="None",
+                    type=ProxyErrorTypes.internal_server_error.value,
+                    param=None,
                     code=500,
                 )
             if not isinstance(managed_files_obj, BaseFileEndpoints):
                 raise ProxyException(
                     message="Managed files hook is not a BaseFileEndpoints",
-                    type="None",
-                    param="None",
+                    type=ProxyErrorTypes.internal_server_error.value,
+                    param=None,
                     code=500,
                 )
             response = await managed_files_obj.afile_retrieve(
@@ -1215,17 +1220,17 @@ async def get_file(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e.detail)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, status.HTTP_400_BAD_REQUEST),
             )
         else:
             error_msg: Final = f"{e}"
             raise ProxyException(
                 message=getattr(e, "message", error_msg),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", 500),
+                type=openai_error_type(e, error_status_code(e, 500)),
+                param=openai_error_param(e),
+                code=error_status_code(e, 500),
             )
 
 
@@ -1355,22 +1360,22 @@ async def delete_file(
             if managed_files_obj is None:
                 raise ProxyException(
                     message="Managed files hook not found",
-                    type="None",
-                    param="None",
+                    type=ProxyErrorTypes.internal_server_error.value,
+                    param=None,
                     code=500,
                 )
             if llm_router is None:
                 raise ProxyException(
                     message="LLM Router not found",
-                    type="None",
-                    param="None",
+                    type=ProxyErrorTypes.internal_server_error.value,
+                    param=None,
                     code=500,
                 )
             if not isinstance(managed_files_obj, BaseFileEndpoints):
                 raise ProxyException(
                     message="Managed files hook is not a BaseFileEndpoints",
-                    type="None",
-                    param="None",
+                    type=ProxyErrorTypes.internal_server_error.value,
+                    param=None,
                     code=500,
                 )
 
@@ -1427,17 +1432,17 @@ async def delete_file(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e.detail)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, status.HTTP_400_BAD_REQUEST),
             )
         else:
             error_msg: Final = f"{e}"
             raise ProxyException(
                 message=getattr(e, "message", error_msg),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", 500),
+                type=openai_error_type(e, error_status_code(e, 500)),
+                param=openai_error_param(e),
+                code=error_status_code(e, 500),
             )
 
 
@@ -1629,15 +1634,15 @@ async def list_files(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e.detail)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, status.HTTP_400_BAD_REQUEST),
             )
         else:
             error_msg: Final = f"{e}"
             raise ProxyException(
                 message=getattr(e, "message", error_msg),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", 500),
+                type=openai_error_type(e, error_status_code(e, 500)),
+                param=openai_error_param(e),
+                code=error_status_code(e, 500),
             )
diff --git a/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py b/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py
index 79d5d0a016f..64ce461990a 100644
--- a/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py
+++ b/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py
@@ -77,6 +77,11 @@ from litellm.proxy.common_utils.http_parsing_utils import (
     _read_request_body,
     _safe_get_request_headers,
 )
+from litellm.proxy.common_utils.openai_error_payload import (
+    error_status_code,
+    openai_error_param,
+    openai_error_type,
+)
 from litellm.proxy.common_utils.sse_keepalive import (
     wrap_passthrough_sse_bytes_with_keepalive_pings,
 )
@@ -310,9 +315,9 @@ async def chat_completion_pass_through_endpoint(
         error_msg: Final = f"{e}"
         raise ProxyException(
             message=getattr(e, "message", error_msg),
-            type=getattr(e, "type", "None"),
-            param=getattr(e, "param", "None"),
-            code=getattr(e, "status_code", 500),
+            type=openai_error_type(e, error_status_code(e, 500)),
+            param=openai_error_param(e),
+            code=error_status_code(e, 500),
         )
 
 
@@ -1677,18 +1682,18 @@ async def pass_through_request(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(getattr(e, "detail", str(e)))),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, status.HTTP_400_BAD_REQUEST),
                 headers=custom_headers,
             )
         else:
             error_msg: Final = f"{e}"
             raise ProxyException(
                 message=getattr(e, "message", error_msg),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", 500),
+                type=openai_error_type(e, error_status_code(e, 500)),
+                param=openai_error_param(e),
+                code=error_status_code(e, 500),
                 headers=custom_headers,
             )
 
diff --git a/litellm/proxy/realtime_endpoints/endpoints.py b/litellm/proxy/realtime_endpoints/endpoints.py
index 7f9cd251a8a..9996f60098d 100644
--- a/litellm/proxy/realtime_endpoints/endpoints.py
+++ b/litellm/proxy/realtime_endpoints/endpoints.py
@@ -17,6 +17,11 @@ from litellm.proxy.common_utils.encrypt_decrypt_utils import (
     encrypt_value_helper,
 )
 from litellm.proxy.common_utils.http_parsing_utils import _read_request_body
+from litellm.proxy.common_utils.openai_error_payload import (
+    error_status_code,
+    openai_error_param,
+    openai_error_type,
+)
 from litellm.types.realtime import (
     RealtimeClientSecretRequest,
     RealtimeClientSecretResponse,
@@ -301,15 +306,15 @@ async def create_realtime_client_secret(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", http_status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, http_status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, http_status.HTTP_400_BAD_REQUEST),
             )
         raise ProxyException(
             message=getattr(e, "message", str(e)),
-            type=getattr(e, "type", "None"),
-            param=getattr(e, "param", "None"),
-            code=getattr(e, "status_code", 500),
+            type=openai_error_type(e, error_status_code(e, 500)),
+            param=openai_error_param(e),
+            code=error_status_code(e, 500),
         )
 
     if upstream_resp.status_code != 200:
@@ -492,15 +497,15 @@ async def proxy_realtime_calls(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", http_status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, http_status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, http_status.HTTP_400_BAD_REQUEST),
             )
         raise ProxyException(
             message=getattr(e, "message", str(e)),
-            type=getattr(e, "type", "None"),
-            param=getattr(e, "param", "None"),
-            code=getattr(e, "status_code", 500),
+            type=openai_error_type(e, error_status_code(e, 500)),
+            param=openai_error_param(e),
+            code=error_status_code(e, 500),
         )
 
     return Response(
@@ -605,15 +610,15 @@ async def create_realtime_transcription_session(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "detail", getattr(e, "message", str(e))),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", http_status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, http_status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, http_status.HTTP_400_BAD_REQUEST),
             )
         raise ProxyException(
             message=getattr(e, "message", str(e)),
-            type=getattr(e, "type", "None"),
-            param=getattr(e, "param", "None"),
-            code=getattr(e, "status_code", 500),
+            type=openai_error_type(e, error_status_code(e, 500)),
+            param=openai_error_param(e),
+            code=error_status_code(e, 500),
         )
 
     if upstream_resp.status_code != 200:
diff --git a/litellm/proxy/rerank_endpoints/endpoints.py b/litellm/proxy/rerank_endpoints/endpoints.py
index dd5803796b7..16cd7368e4a 100644
--- a/litellm/proxy/rerank_endpoints/endpoints.py
+++ b/litellm/proxy/rerank_endpoints/endpoints.py
@@ -11,6 +11,11 @@ from litellm._logging import verbose_proxy_logger
 from litellm.proxy._types import *
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing
+from litellm.proxy.common_utils.openai_error_payload import (
+    error_status_code,
+    openai_error_param,
+    openai_error_type,
+)
 
 router: Final = APIRouter()
 
@@ -112,15 +117,15 @@ async def rerank(
         if isinstance(e, HTTPException):
             raise ProxyException(
                 message=getattr(e, "message", str(e)),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
+                type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)),
+                param=openai_error_param(e),
+                code=error_status_code(e, status.HTTP_400_BAD_REQUEST),
             )
         else:
             error_msg: Final = f"{e}"
             raise ProxyException(
                 message=getattr(e, "message", error_msg),
-                type=getattr(e, "type", "None"),
-                param=getattr(e, "param", "None"),
-                code=getattr(e, "status_code", 500),
+                type=openai_error_type(e, error_status_code(e, 500)),
+                param=openai_error_param(e),
+                code=error_status_code(e, 500),
             )
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index cab2bd6d9db..5c0fbd64744 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -37,6 +37,7 @@ from litellm.proxy._types import (
     SpendLogsMetadata,
     SpendLogsPayload,
 )
+from litellm.proxy.common_utils.openai_error_payload import openai_error_param
 from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error
 from litellm.types.guardrails import GuardrailEventHooks
 from litellm.types.proxy.model_listing import ModelInfoResponse
@@ -7098,7 +7099,7 @@ def handle_exception_on_proxy(e: Exception) -> ProxyException:
         return ProxyException(
             message=getattr(e, "detail", f"error({e})"),
             type=ProxyErrorTypes.internal_server_error,
-            param=getattr(e, "param", "None"),
+            param=openai_error_param(e),
             code=getattr(e, "status_code", status.HTTP_500_INTERNAL_SERVER_ERROR),
         )
     elif isinstance(e, ProxyException):
@@ -7107,7 +7108,7 @@ def handle_exception_on_proxy(e: Exception) -> ProxyException:
     return ProxyException(
         message=str(e),
         type=ProxyErrorTypes.internal_server_error,
-        param=getattr(e, "param", "None"),
+        param=openai_error_param(e),
         code=_status_code,
     )
 
diff --git a/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
new file mode 100644
index 00000000000..c165d7ffdb1
--- /dev/null
+++ b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
@@ -0,0 +1,117 @@
+import json
+
+import pytest
+from fastapi import HTTPException
+
+from litellm.proxy._types import ProxyErrorTypes, ProxyException
+from litellm.proxy.common_utils.openai_error_payload import (
+    error_status_code,
+    openai_error_param,
+    openai_error_type,
+)
+
+
+@pytest.mark.parametrize(
+    "status_code, expected_type",
+    [
+        (400, "invalid_request_error"),
+        (401, "authentication_error"),
+        (403, "permission_error"),
+        (404, "invalid_request_error"),
+        (422, "invalid_request_error"),
+        (429, "rate_limit_error"),
+        (499, "invalid_request_error"),
+        (500, "internal_server_error"),
+        (502, "internal_server_error"),
+        (503, "internal_server_error"),
+    ],
+)
+def test_status_code_decides_the_type_when_the_exception_carries_none(status_code, expected_type):
+    """A route that raises a bare HTTPException carries no error type, so the status it
+    answered with is the only thing left to name the OpenAI type from."""
+    assert openai_error_type(HTTPException(status_code=status_code, detail="boom"), status_code) == expected_type
+
+
+def test_a_carried_type_wins_over_the_one_the_status_would_imply():
+    """A ProxyException raised mid-request already names its own type, and relabelling a
+    402 budget_exceeded as the status map's guess would lose what the client branches on."""
+    carried = ProxyException(
+        message="Budget has been exceeded",
+        type=ProxyErrorTypes.budget_exceeded.value,
+        param=None,
+        code=400,
+    )
+
+    assert openai_error_type(carried, 400) == ProxyErrorTypes.budget_exceeded.value
+
+
+@pytest.mark.parametrize("carried_type", [None, 400, {"type": "invalid_request_error"}, ["invalid_request_error"]])
+def test_a_non_string_carried_type_falls_back_to_the_status(carried_type):
+    """OpenAI types error.type as a string, so anything else on the exception is not one and
+    must not reach the wire the way the literal "None" used to."""
+
+    class _Carrier(Exception):
+        type = carried_type
+
+    assert openai_error_type(_Carrier("boom"), 401) == "authentication_error"
+
+
+def test_the_type_is_never_the_string_none_after_a_json_round_trip():
+    """The bug this module exists for: json.dumps of a "None" default is indistinguishable
+    from a real type to a client's error handler."""
+    payload = json.loads(
+        json.dumps(
+            {
+                "type": openai_error_type(HTTPException(status_code=400, detail="boom"), 400),
+                "param": openai_error_param(HTTPException(status_code=400, detail="boom")),
+            }
+        )
+    )
+
+    assert payload == {"type": "invalid_request_error", "param": None}
+
+
+def test_a_carried_param_names_the_offending_field():
+    carried = ProxyException(message="Invalid purpose", type="invalid_request_error", param="purpose", code=400)
+
+    assert openai_error_param(carried) == "purpose"
+
+
+@pytest.mark.parametrize("exc", [HTTPException(status_code=400, detail="boom"), ValueError("boom"), None])
+def test_param_is_json_null_when_the_exception_names_no_field(exc):
+    assert openai_error_param(exc) is None
+
+
+def test_a_non_string_carried_param_is_json_null():
+    class _Carrier(Exception):
+        param = 42
+
+    assert openai_error_param(_Carrier("boom")) is None
+
+
+def test_a_carried_status_code_wins_over_the_default():
+    assert error_status_code(HTTPException(status_code=429, detail="slow down"), 400) == 429
+
+
+@pytest.mark.parametrize("default", [400, 500])
+def test_the_default_status_stands_when_the_exception_carries_none(default):
+    assert error_status_code(ValueError("boom"), default) == default
+
+
+@pytest.mark.parametrize("carried_status", [True, False, "429", None, 429.0])
+def test_a_non_int_carried_status_falls_back_to_the_default(carried_status):
+    """True is an int in Python but not an HTTP status, and a stringified one would break
+    every caller that compares the code numerically."""
+
+    class _Carrier(Exception):
+        status_code = carried_status
+
+    assert error_status_code(_Carrier("boom"), 500) == 500
+
+
+def test_a_status_carried_by_an_exception_drives_the_type_it_reports():
+    """The two helpers compose at every call site: the status the exception carries is what
+    names its type, not the default the route would have used."""
+    exc = HTTPException(status_code=403, detail="blocked by policy")
+
+    assert openai_error_type(exc, error_status_code(exc, 400)) == "permission_error"
diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
index bca97915347..123d54789bf 100644
--- a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
+++ b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
@@ -2920,9 +2920,9 @@ def test_unscoped_list_files_accepts_every_documented_purpose(
 def test_list_files_reports_a_bad_target_model_names_as_a_400(
     mocker: MockerFixture, monkeypatch, llm_router: Router
 ):
-    """The exception tail reports an HTTPException with its own status and error
-    type rather than relabelling it, so a client that branches on either keeps
-    reading the same thing off a bad request."""
+    """The exception tail answers with the OpenAI error object a client can branch on:
+    the type its 400 status stands for, and a JSON null param rather than the literal
+    string "None" no OpenAI SDK has a case for."""
     _setup_unscoped_list_files_route(mocker, monkeypatch, llm_router, _permissive_afile_list)
 
     response = _get_list_files("/v1/files?target_model_names=gpt-3.5-turbo,gpt-4o")
@@ -2931,8 +2931,8 @@ def test_list_files_reports_a_bad_target_model_names_as_a_400(
     assert response.json() == {
         "error": {
             "message": "target_model_names on list files must be a list of one model name. Example: ['gpt-4o']",
-            "type": "None",
-            "param": "None",
+            "type": "invalid_request_error",
+            "param": None,
             "code": "400",
         }
     }
diff --git a/tests/test_litellm/proxy/utils/helpers/test_error_helpers.py b/tests/test_litellm/proxy/utils/helpers/test_error_helpers.py
index e73e3c151e0..dc30798df55 100644
--- a/tests/test_litellm/proxy/utils/helpers/test_error_helpers.py
+++ b/tests/test_litellm/proxy/utils/helpers/test_error_helpers.py
@@ -135,7 +135,7 @@ def test_handle_exception_on_proxy_happy_path_generic_exception_defaults_to_500(
         "message": "kaboom",
         "type": ProxyErrorTypes.internal_server_error.value,
         "code": "500",
-        "param": "None",
+        "param": None,
     }
 
 

From 7a5b8bce7e42157cbfcbed306e2ea33672c7e5ea Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Thu, 3 Sep 2026 03:40:58 -0700
Subject: [PATCH 024/223] test(proxy): type the parametrized inputs of the
 error payload helper tests

---
 .../proxy/common_utils/test_openai_error_payload.py    | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
index c165d7ffdb1..3b39ea706fe 100644
--- a/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
+++ b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
@@ -26,7 +26,7 @@ from litellm.proxy.common_utils.openai_error_payload import (
         (503, "internal_server_error"),
     ],
 )
-def test_status_code_decides_the_type_when_the_exception_carries_none(status_code, expected_type):
+def test_status_code_decides_the_type_when_the_exception_carries_none(status_code: int, expected_type: str):
     """A route that raises a bare HTTPException carries no error type, so the status it
     answered with is the only thing left to name the OpenAI type from."""
     assert openai_error_type(HTTPException(status_code=status_code, detail="boom"), status_code) == expected_type
@@ -46,7 +46,7 @@ def test_a_carried_type_wins_over_the_one_the_status_would_imply():
 
 
 @pytest.mark.parametrize("carried_type", [None, 400, {"type": "invalid_request_error"}, ["invalid_request_error"]])
-def test_a_non_string_carried_type_falls_back_to_the_status(carried_type):
+def test_a_non_string_carried_type_falls_back_to_the_status(carried_type: object):
     """OpenAI types error.type as a string, so anything else on the exception is not one and
     must not reach the wire the way the literal "None" used to."""
 
@@ -78,7 +78,7 @@ def test_a_carried_param_names_the_offending_field():
 
 
 @pytest.mark.parametrize("exc", [HTTPException(status_code=400, detail="boom"), ValueError("boom"), None])
-def test_param_is_json_null_when_the_exception_names_no_field(exc):
+def test_param_is_json_null_when_the_exception_names_no_field(exc: Exception | None):
     assert openai_error_param(exc) is None
 
 
@@ -94,12 +94,12 @@ def test_a_carried_status_code_wins_over_the_default():
 
 
 @pytest.mark.parametrize("default", [400, 500])
-def test_the_default_status_stands_when_the_exception_carries_none(default):
+def test_the_default_status_stands_when_the_exception_carries_none(default: int):
     assert error_status_code(ValueError("boom"), default) == default
 
 
 @pytest.mark.parametrize("carried_status", [True, False, "429", None, 429.0])
-def test_a_non_int_carried_status_falls_back_to_the_default(carried_status):
+def test_a_non_int_carried_status_falls_back_to_the_default(carried_status: object):
     """True is an int in Python but not an HTTP status, and a stringified one would break
     every caller that compares the code numerically."""
 

From cedf35992bdec398e7623d28e45b5218e4eff9bf Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Thu, 3 Sep 2026 04:02:55 -0700
Subject: [PATCH 025/223] fix(proxy): give each spend-log queue monitor its own
 flush event

`PrismaClient.spend_log_flush_requested` was an `asyncio.Event` built at
import time, so it bound to whichever event loop first awaited it and every
later loop got `RuntimeError: ... is bound to a different event loop` out of
`_wait_for_spend_log_flush_request`. The queue monitor's blanket `except
Exception` swallowed that into its error logger, so the flush silently never
happened and the row sat in the worker's queue until the next poll.

The monitor now creates its own Event inside the loop that awaits it and
hands it to the client, and `request_spend_log_flush` signals through the
client instead of the class. A request that arrives before the monitor is
running is dropped and loses nothing, because the monitor reads the queue on
its first pass before it ever waits.

In CI this showed up as the proxy-endpoints shard flaking on
test_monitor_spend_logs_queue_flushes_as_soon_as_one_is_requested whenever
--dist=loadscope put the health-endpoint tests, which boot a proxy TestClient
and start a monitor, on the same worker ahead of the spend-log tests.
---
 litellm/proxy/db/db_spend_update_writer.py    |  2 +-
 litellm/proxy/utils.py                        | 22 ++++---
 .../proxy/db/test_db_spend_update_writer.py   |  7 +-
 .../prisma_and_spend/test_spend_functions.py  | 66 +++++++++++++++++--
 4 files changed, 79 insertions(+), 18 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index e6880d521f1..18058f31385 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -940,7 +940,7 @@ class DBSpendUpdateWriter:
 
             await enqueue_spend_logs(prisma_client, (payload,))
             if payload.get("call_type") in RESPONSES_SESSION_CALL_TYPES:
-                request_spend_log_flush()
+                request_spend_log_flush(prisma_client)
         else:
             verbose_proxy_logger.debug("prisma_client is None. Skipping writing spend logs to db.")
 
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index cab2bd6d9db..aa3076dbd19 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -3519,7 +3519,7 @@ class _StaleReadEngine:
 class PrismaClient:
     spend_log_transactions: list = []
     _spend_log_transactions_lock = asyncio.Lock()
-    spend_log_flush_requested: ClassVar[asyncio.Event] = asyncio.Event()
+    spend_log_flush_requested: "asyncio.Event | None" = None
     spend_log_queue_bytes: ClassVar[int] = 0
     spend_logs_queue_monitor_task: "asyncio.Task[None] | None" = None
     tool_usage_transactions: list["ToolUsageTransaction"] = []
@@ -6245,23 +6245,27 @@ async def enqueue_spend_logs(
         )
 
 
-def request_spend_log_flush() -> None:
-    """Wake the queue monitor now rather than leaving the rows for its next poll.
+def request_spend_log_flush(prisma_client: PrismaClient) -> None:
+    """Wake this client's queue monitor now rather than leaving the rows for its next poll.
 
     The Responses API hands the client an id it can chain from straight away, and that
     lookup reads the DB, so the row cannot sit in this worker's queue for a poll interval.
     Repeated requests coalesce into the monitor's next pass, so the batching holds.
+    A request made before the monitor is running is dropped, and loses nothing: the
+    monitor reads the queue on its first pass, before it ever waits on a request.
     """
-    PrismaClient.spend_log_flush_requested.set()
+    flush_requested: Final = prisma_client.spend_log_flush_requested
+    if flush_requested is not None:
+        flush_requested.set()
 
 
-async def _wait_for_spend_log_flush_request(interval: float) -> bool:
+async def _wait_for_spend_log_flush_request(flush_requested: asyncio.Event, interval: float) -> bool:
     """Wait out ``interval``, returning early and True when a flush was requested."""
     try:
-        await asyncio.wait_for(PrismaClient.spend_log_flush_requested.wait(), timeout=interval)
+        await asyncio.wait_for(flush_requested.wait(), timeout=interval)
     except asyncio.TimeoutError:
         return False
-    PrismaClient.spend_log_flush_requested.clear()
+    flush_requested.clear()
     return True
 
 
@@ -6681,6 +6685,8 @@ async def _monitor_spend_logs_queue(
     max_backoff: Final = 30.0  # Maximum backoff interval in seconds
     backoff_multiplier: Final = 1.5  # Exponential backoff multiplier
     current_interval = base_interval
+    flush_requested: Final = asyncio.Event()
+    prisma_client.spend_log_flush_requested = flush_requested  # rebind-ok: the client owns its monitor's flush signal
 
     verbose_proxy_logger.info(
         "Starting spend logs queue monitor (threshold: %s, poll_interval: %ss)", threshold, base_interval
@@ -6719,7 +6725,7 @@ async def _monitor_spend_logs_queue(
                 # Exponential backoff when no logs to process
                 current_interval = min(current_interval * backoff_multiplier, max_backoff)
 
-            if await _wait_for_spend_log_flush_request(current_interval):
+            if await _wait_for_spend_log_flush_request(flush_requested, current_interval):
                 current_interval = base_interval
         except Exception as e:
             spend_log_error("Error in spend logs queue monitor: %s", str(e), exc=e)
diff --git a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
index 11ef911de3e..104dcf55e66 100644
--- a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
+++ b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
@@ -2941,11 +2941,9 @@ async def test_insert_spend_log_asks_for_an_immediate_flush_on_responses_calls(c
     A `previous_response_id` chained straight off the previous turn reads the DB, so a
     Responses row cannot sit in this worker's queue until the monitor's next poll.
     """
-    from litellm.proxy.utils import PrismaClient
-
     db_writer = DBSpendUpdateWriter()
     prisma = _tool_usage_prisma()
-    PrismaClient.spend_log_flush_requested.clear()
+    prisma.spend_log_flush_requested = asyncio.Event()
 
     await db_writer._insert_spend_log_to_db(
         payload={"request_id": "req-1", "call_type": call_type},
@@ -2953,8 +2951,7 @@ async def test_insert_spend_log_asks_for_an_immediate_flush_on_responses_calls(c
     )
 
     assert prisma.spend_log_transactions == [{"request_id": "req-1", "call_type": call_type}]
-    assert PrismaClient.spend_log_flush_requested.is_set() is expects_flush
-    PrismaClient.spend_log_flush_requested.clear()
+    assert prisma.spend_log_flush_requested.is_set() is expects_flush
 
 
 @pytest.mark.asyncio
diff --git a/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py b/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
index a1eb88a7834..ed854d2c95c 100644
--- a/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
+++ b/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
@@ -538,10 +538,9 @@ async def test_monitor_spend_logs_queue_flushes_as_soon_as_one_is_requested(
     """
     import litellm.constants as constants_mod
     import litellm.proxy.utils as utils_mod
-    from litellm.proxy.utils import PrismaClient, request_spend_log_flush
+    from litellm.proxy.utils import request_spend_log_flush
 
     monkeypatch.setattr(constants_mod, "SPEND_LOG_QUEUE_POLL_INTERVAL", 30.0, raising=False)
-    PrismaClient.spend_log_flush_requested.clear()
     mock_prisma_client.spend_log_transactions = []
     mock_prisma_client.tool_usage_transactions = []
 
@@ -562,16 +561,75 @@ async def test_monitor_spend_logs_queue_flushes_as_soon_as_one_is_requested(
     try:
         await asyncio.sleep(0.05)
         assert not flushed.is_set()
+        assert isinstance(mock_prisma_client.spend_log_flush_requested, asyncio.Event)
 
         mock_prisma_client.spend_log_transactions.append(make_spend_log_row(request_id="r1"))
-        request_spend_log_flush()
+        request_spend_log_flush(mock_prisma_client)
 
         await asyncio.wait_for(flushed.wait(), timeout=5.0)
     finally:
         monitor.cancel()
         with suppress(asyncio.CancelledError):
             await monitor
-        PrismaClient.spend_log_flush_requested.clear()
+
+
+def test_monitor_spend_logs_queue_flush_survives_an_earlier_event_loop(
+    mock_prisma_client: Any,
+    make_spend_log_row: Any,
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    """A second monitor, started in a fresh event loop, is still woken by a flush request,
+    so a worker whose first loop is gone keeps flushing Responses rows instead of stalling.
+    """
+    import litellm.constants as constants_mod
+    import litellm.proxy.utils as utils_mod
+    from litellm.proxy.utils import request_spend_log_flush
+
+    monkeypatch.setattr(constants_mod, "SPEND_LOG_QUEUE_POLL_INTERVAL", 30.0, raising=False)
+    mock_prisma_client.tool_usage_transactions = []
+
+    async def _flush_once_under_a_monitor() -> None:
+        flushed: Final = asyncio.Event()
+
+        async def _fake_job(*args: Any, **kwargs: Any) -> None:
+            flushed.set()
+
+        monkeypatch.setattr(utils_mod, "update_spend_logs_job", _fake_job)
+        mock_prisma_client.spend_log_transactions = []
+
+        monitor: Final = asyncio.create_task(
+            _monitor_spend_logs_queue(
+                prisma_client=mock_prisma_client,
+                db_writer_client=None,
+                proxy_logging_obj=MagicMock(),
+            )
+        )
+        try:
+            await asyncio.sleep(0.05)
+            assert not flushed.is_set()
+
+            mock_prisma_client.spend_log_transactions.append(make_spend_log_row(request_id="r1"))
+            request_spend_log_flush(mock_prisma_client)
+
+            await asyncio.wait_for(flushed.wait(), timeout=5.0)
+        finally:
+            monitor.cancel()
+            with suppress(asyncio.CancelledError):
+                await monitor
+
+    asyncio.run(_flush_once_under_a_monitor())
+    asyncio.run(_flush_once_under_a_monitor())
+
+
+def test_request_spend_log_flush_is_a_no_op_before_the_monitor_starts(mock_prisma_client: Any) -> None:
+    """A Responses row enqueued before the monitor's first pass must not fail the request."""
+    from litellm.proxy.utils import request_spend_log_flush
+
+    mock_prisma_client.spend_log_flush_requested = None
+
+    request_spend_log_flush(mock_prisma_client)
+
+    assert mock_prisma_client.spend_log_flush_requested is None
 
 
 def test_raise_failed_update_spend_exception_emits_failure_handler() -> None:

From 29bcb0eeb9b085492764cdd970bc4b28340f554b Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Thu, 3 Sep 2026 04:55:57 -0700
Subject: [PATCH 026/223] test(proxy): pin that a flush requested before the
 monitor starts costs the row nothing

The monitor reads the queue on its first pass, before it ever waits on a
request, so dropping a request made while spend_log_flush_requested is still
None delays nothing. Reordering the loop to wait first would turn that drop
into a real delay for the Responses chaining flow, and now fails this test.
---
 .../prisma_and_spend/test_spend_functions.py  | 38 +++++++++++++++++--
 1 file changed, 35 insertions(+), 3 deletions(-)

diff --git a/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py b/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
index ed854d2c95c..c8b87bd671e 100644
--- a/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
+++ b/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py
@@ -621,16 +621,48 @@ def test_monitor_spend_logs_queue_flush_survives_an_earlier_event_loop(
     asyncio.run(_flush_once_under_a_monitor())
 
 
-def test_request_spend_log_flush_is_a_no_op_before_the_monitor_starts(mock_prisma_client: Any) -> None:
-    """A Responses row enqueued before the monitor's first pass must not fail the request."""
+@pytest.mark.asyncio
+async def test_flush_requested_before_the_monitor_starts_costs_the_row_nothing(
+    mock_prisma_client: Any,
+    make_spend_log_row: Any,
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    """A Responses row enqueued before the monitor exists still reaches the DB on its first
+    pass, so dropping that early request delays nothing.
+    """
+    import litellm.constants as constants_mod
+    import litellm.proxy.utils as utils_mod
     from litellm.proxy.utils import request_spend_log_flush
 
+    monkeypatch.setattr(constants_mod, "SPEND_LOG_QUEUE_POLL_INTERVAL", 30.0, raising=False)
     mock_prisma_client.spend_log_flush_requested = None
+    mock_prisma_client.tool_usage_transactions = []
+    mock_prisma_client.spend_log_transactions = [make_spend_log_row(request_id="r1")]
+
+    flushed: Final = asyncio.Event()
+
+    async def _fake_job(*args: Any, **kwargs: Any) -> None:
+        flushed.set()
+
+    monkeypatch.setattr(utils_mod, "update_spend_logs_job", _fake_job)
 
     request_spend_log_flush(mock_prisma_client)
-
     assert mock_prisma_client.spend_log_flush_requested is None
 
+    monitor: Final = asyncio.create_task(
+        _monitor_spend_logs_queue(
+            prisma_client=mock_prisma_client,
+            db_writer_client=None,
+            proxy_logging_obj=MagicMock(),
+        )
+    )
+    try:
+        await asyncio.wait_for(flushed.wait(), timeout=5.0)
+    finally:
+        monitor.cancel()
+        with suppress(asyncio.CancelledError):
+            await monitor
+
 
 def test_raise_failed_update_spend_exception_emits_failure_handler() -> None:
     proxy_logging = MagicMock()

From 2a2c49ad4cd711aded30da0384c1a200ddfca5d7 Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Thu, 3 Sep 2026 16:09:44 -0400
Subject: [PATCH 027/223] feat(ui): surface batch results on the logs page

---
 .../LogDetailContent.test.tsx                 | 78 ++++++++++++++++
 .../LogDetailsDrawer/LogDetailContent.tsx     | 61 +++++++++++++
 .../RequestLogsTableColumns.test.tsx          | 53 +++++++++++
 .../view_logs/RequestLogsTableColumns.tsx     | 29 +++++-
 .../components/view_logs/TypeBadges.test.tsx  | 14 ++-
 .../src/components/view_logs/TypeBadges.tsx   | 26 ++++++
 .../view_logs/batchLogUtils.test.ts           | 90 +++++++++++++++++++
 .../src/components/view_logs/batchLogUtils.ts | 67 ++++++++++++++
 .../src/components/view_logs/constants.ts     |  3 +
 9 files changed, 418 insertions(+), 3 deletions(-)
 create mode 100644 ui/litellm-dashboard/src/components/view_logs/batchLogUtils.test.ts
 create mode 100644 ui/litellm-dashboard/src/components/view_logs/batchLogUtils.ts

diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.test.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.test.tsx
index a679dc49427..91778d2a98a 100644
--- a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.test.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.test.tsx
@@ -113,6 +113,84 @@ describe("LogDetailContent", () => {
     expect(screen.getAllByText("$0.00200000").length).toBeGreaterThanOrEqual(1);
   });
 
+  it("shows reasoning tokens in Metrics when the usage breakout carries them", () => {
+    render(
+      <LogDetailContent
+        logEntry={createLogEntry({
+          metadata: {
+            status: "success",
+            usage_object: { completion_tokens_details: { text_tokens: 32, reasoning_tokens: 224 } },
+          },
+        })}
+      />,
+    );
+
+    expect(screen.getByText("Reasoning Tokens")).toBeInTheDocument();
+    expect(screen.getByText("224")).toBeInTheDocument();
+  });
+
+  it("hides the reasoning metric when the breakout is absent or zero", () => {
+    render(
+      <LogDetailContent
+        logEntry={createLogEntry({
+          metadata: {
+            status: "success",
+            usage_object: { completion_tokens_details: { text_tokens: 32, reasoning_tokens: 0 } },
+          },
+        })}
+      />,
+    );
+
+    expect(screen.queryByText("Reasoning Tokens")).not.toBeInTheDocument();
+  });
+
+  describe("Batch Results section", () => {
+    const batchCostEntry = (metadata: Record<string, unknown>) =>
+      createLogEntry({
+        request_id: "batch_abc123_batch_cost",
+        call_type: "aretrieve_batch",
+        metadata: { status: "success", ...metadata },
+      });
+
+    it("renders batch id, per-request outcome counts, and batch models for a batch cost row", () => {
+      render(
+        <LogDetailContent
+          logEntry={batchCostEntry({
+            batch_models: ["gemini-2.5-flash"],
+            batch_successful_requests: 2,
+            batch_failed_requests: 1,
+          })}
+        />,
+      );
+
+      const section = screen.getByText("Batch Results").closest('[data-slot="card"]') as HTMLElement;
+      expect(within(section).getByText("batch_abc123")).toBeInTheDocument();
+      expect(within(section).getByText("2")).toBeInTheDocument();
+      expect(within(section).getByText("1")).toBeInTheDocument();
+      expect(within(section).getByText("gemini-2.5-flash")).toBeInTheDocument();
+    });
+
+    it("still renders the batch id when a legacy row carries no counts", () => {
+      render(<LogDetailContent logEntry={batchCostEntry({})} />);
+
+      expect(screen.getByText("Batch Results")).toBeInTheDocument();
+      expect(screen.getByText("batch_abc123")).toBeInTheDocument();
+      expect(screen.queryByText("Successful Requests")).not.toBeInTheDocument();
+    });
+
+    it("never renders for a non-batch call type", () => {
+      render(
+        <LogDetailContent
+          logEntry={createLogEntry({
+            metadata: { status: "success", batch_successful_requests: 2, batch_failed_requests: 1 },
+          })}
+        />,
+      );
+
+      expect(screen.queryByText("Batch Results")).not.toBeInTheDocument();
+    });
+  });
+
   it("should show Input Tokens and Output Tokens for anthropic_messages when uncached text_tokens exist", () => {
     render(
       <LogDetailContent
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.tsx
index 4c5c7b7b43f..8e0f041b88d 100644
--- a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.tsx
@@ -13,6 +13,13 @@ import { formatNumberWithCommas } from "@/utils/dataUtils";
 import { PROMPT_CACHE_CREATION_TOOLTIP, PROMPT_CACHE_READ_TOOLTIP } from "@/utils/promptCacheUsage";
 import GuardrailViewer from "../GuardrailViewer/GuardrailViewer";
 import EvalViewer from "../EvalViewer/EvalViewer";
+import {
+  getBatchIdFromRequestId,
+  getBatchModels,
+  getBatchRequestCounts,
+  getReasoningTokens,
+  isBatchCallType,
+} from "../batchLogUtils";
 import { CostBreakdownViewer } from "../CostBreakdownViewer";
 import { ConfigInfoMessage } from "../ConfigInfoMessage";
 import { VectorStoreViewer } from "../VectorStoreViewer";
@@ -150,6 +157,9 @@ export function LogDetailContent({ logEntry, isLoadingDetails = false, accessTok
         </Card>
       </div>
 
+      {/* Batch Results */}
+      {isBatchCallType(logEntry.call_type) && <BatchResultsSection logEntry={logEntry} metadata={metadata} />}
+
       {/* Routing */}
       <RoutingDecisionCard decision={metadata?.routing_decision as RoutingDecision | undefined} />
 
@@ -374,6 +384,53 @@ function MetricLabel({ label, tooltip, docsUrl }: { label: string; tooltip: stri
   );
 }
 
+/**
+ * Aggregate per-request outcomes for a batch cost row: batch id, success/failure counts
+ * from the parsed output and error files, and the models the batch actually ran on.
+ */
+function BatchResultsSection({ logEntry, metadata }: { logEntry: LogEntry; metadata: Record<string, any> }) {
+  const counts = getBatchRequestCounts(metadata);
+  const batchId = getBatchIdFromRequestId(logEntry.request_id);
+  const batchModels = getBatchModels(metadata);
+  if (!counts && !batchId && !batchModels) return null;
+
+  return (
+    <div className="bg-card rounded-lg shadow-sm w-full max-w-full overflow-hidden mb-6">
+      <Card size="sm" style={{ marginBottom: 0 }}>
+        <CardHeader>
+          <CardTitle>Batch Results</CardTitle>
+        </CardHeader>
+        <CardContent>
+          <DescriptionList>
+            {batchId && (
+              <DescriptionItem label="Batch ID">
+                <TruncatedValue value={batchId} />
+              </DescriptionItem>
+            )}
+            {counts && (
+              <>
+                <DescriptionItem label="Successful Requests">
+                  {formatNumberWithCommas(counts.successful)}
+                </DescriptionItem>
+                <DescriptionItem label="Failed Requests">
+                  {counts.failed > 0 ? (
+                    <Badge variant="secondary" className="bg-destructive/15 text-destructive">
+                      {formatNumberWithCommas(counts.failed)}
+                    </Badge>
+                  ) : (
+                    formatNumberWithCommas(counts.failed)
+                  )}
+                </DescriptionItem>
+              </>
+            )}
+            {batchModels && <DescriptionItem label="Models">{batchModels.join(", ")}</DescriptionItem>}
+          </DescriptionList>
+        </CardContent>
+      </Card>
+    </div>
+  );
+}
+
 function MetricsSection({ logEntry, metadata }: { logEntry: LogEntry; metadata: Record<string, any> }) {
   const completionStartTime = logEntry.completionStartTime;
   const ttftMs =
@@ -391,6 +448,7 @@ function MetricsSection({ logEntry, metadata }: { logEntry: LogEntry; metadata:
   const uncachedInputTokens = getUncachedInputTextTokens(metadata);
   const showAnthropicMessagesInputOutput =
     logEntry.call_type === "anthropic_messages" && uncachedInputTokens !== undefined;
+  const reasoningTokens = getReasoningTokens(metadata);
 
   return (
     <div className="bg-card rounded-lg shadow-sm w-full max-w-full overflow-hidden mb-6">
@@ -416,6 +474,9 @@ function MetricsSection({ logEntry, metadata }: { logEntry: LogEntry; metadata:
                 />
               </DescriptionItem>
             )}
+            {reasoningTokens !== undefined && reasoningTokens > 0 && (
+              <DescriptionItem label="Reasoning Tokens">{formatNumberWithCommas(reasoningTokens)}</DescriptionItem>
+            )}
             <DescriptionItem label="Cost">${formatNumberWithCommas(logEntry.spend || 0, 8)}</DescriptionItem>
             <DescriptionItem label="Duration">
               {logEntry.request_duration_ms != null ? (logEntry.request_duration_ms / 1000).toFixed(3) : "-"} s
diff --git a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.test.tsx b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.test.tsx
index 3c9e6543c1c..3e8e522afe1 100644
--- a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.test.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.test.tsx
@@ -134,6 +134,59 @@ describe("Type column", () => {
 
     expect(screen.getByText("MCP")).toBeInTheDocument();
   });
+
+  it("marks a batch cost row with the Batch badge instead of LLM", () => {
+    renderRows([logEntry({ request_id: "batch_1_batch_cost", call_type: "aretrieve_batch" })]);
+
+    expect(screen.getByText("Batch")).toBeInTheDocument();
+    expect(screen.queryByText("LLM")).not.toBeInTheDocument();
+  });
+});
+
+describe("batch rows", () => {
+  const batchRow = (overrides: Partial<LogEntry>): LogEntry =>
+    logEntry({
+      request_id: "batch_abc123_batch_cost",
+      call_type: "aretrieve_batch",
+      ...overrides,
+    });
+
+  it("rolls partial failures into the status badge instead of reporting blanket Success", async () => {
+    const user = userEvent.setup();
+    renderRows([batchRow({ metadata: { batch_successful_requests: 2, batch_failed_requests: 1 } })]);
+
+    expect(screen.queryByText("Success")).not.toBeInTheDocument();
+    await user.hover(screen.getByText("2/3 succeeded"));
+    expect(await screen.findByText("1 of 3 batch requests failed")).toBeInTheDocument();
+  });
+
+  it("keeps the Success badge when every batch request succeeded", () => {
+    renderRows([batchRow({ metadata: { batch_successful_requests: 3, batch_failed_requests: 0 } })]);
+
+    expect(screen.getByText("Success")).toBeInTheDocument();
+  });
+
+  it("keeps the Failure badge when the batch row itself failed, whatever the counts say", () => {
+    renderRows([batchRow({ metadata: { status: "failure", batch_successful_requests: 2, batch_failed_requests: 1 } })]);
+
+    expect(screen.getByText("Failure")).toBeInTheDocument();
+    expect(screen.queryByText("2/3 succeeded")).not.toBeInTheDocument();
+  });
+
+  it("shows the provider batch id, not the synthetic _batch_cost request id", () => {
+    renderRows([batchRow({ metadata: { batch_successful_requests: 1, batch_failed_requests: 0 } })]);
+
+    expect(screen.getByText("batch_abc123")).toBeInTheDocument();
+    expect(screen.queryByText("batch_abc123_batch_cost")).not.toBeInTheDocument();
+    expect(screen.getByText("batch cost")).toBeInTheDocument();
+  });
+
+  it("leaves ordinary request ids untouched", () => {
+    renderRows([logEntry({ request_id: "chatcmpl-42" })]);
+
+    expect(screen.getByText("chatcmpl-42")).toBeInTheDocument();
+    expect(screen.queryByText("batch cost")).not.toBeInTheDocument();
+  });
 });
 
 describe("Model column", () => {
diff --git a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
index 9d4dc4f7898..b4296abe266 100644
--- a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
@@ -7,9 +7,10 @@ import { CellTooltip, DateCell, IdCell, MoneyCell, StatusBadge } from "@/compone
 import { getSpendString } from "@/utils/dataUtils";
 
 import { getProviderLogoAndName } from "../provider_info_helpers";
+import { getBatchIdFromRequestId, getBatchRequestCounts, isBatchCallType } from "./batchLogUtils";
 import type { LogEntry } from "./columns";
 import { AGENT_CALL_TYPES, MCP_CALL_TYPES } from "./constants";
-import { AgentBadge, AgentIcon, LlmBadge, McpBadge, SparkleIcon, WrenchIcon } from "./TypeBadges";
+import { AgentBadge, AgentIcon, BatchBadge, LlmBadge, McpBadge, SparkleIcon, WrenchIcon } from "./TypeBadges";
 
 export interface RequestLogsTableColumnsDeps {
   onKeyHashClick: (keyHash: string) => void;
@@ -66,6 +67,7 @@ export const getRequestLogsTableColumns = ({
       if (sessionCount <= 1) {
         if (isMcp) return <McpBadge />;
         if (isAgent) return <AgentBadge />;
+        if (isBatchCallType(log.call_type)) return <BatchBadge />;
         return <LlmBadge />;
       }
 
@@ -106,6 +108,17 @@ export const getRequestLogsTableColumns = ({
     cell: ({ row }) => {
       const status = readMetaString(row.original.metadata, "status") ?? "Success";
       const isSuccess = status.toLowerCase() !== "failure";
+      const batchCounts = isSuccess ? getBatchRequestCounts(row.original.metadata) : undefined;
+      if (batchCounts && batchCounts.failed > 0) {
+        const total = batchCounts.successful + batchCounts.failed;
+        return (
+          <StatusBadge
+            tone="warning"
+            label={`${batchCounts.successful}/${total} succeeded`}
+            tooltip={`${batchCounts.failed} of ${total} batch requests failed`}
+          />
+        );
+      }
       return <StatusBadge tone={isSuccess ? "success" : "error"} label={isSuccess ? "Success" : "Failure"} />;
     },
   },
@@ -122,7 +135,19 @@ export const getRequestLogsTableColumns = ({
     accessorKey: "request_id",
     header: "Request ID",
     enableSorting: false,
-    cell: ({ row }) => <IdCell value={row.original.request_id} variant="plain" />,
+    cell: ({ row }) => {
+      const log = row.original;
+      const batchId = isBatchCallType(log.call_type) ? getBatchIdFromRequestId(log.request_id) : undefined;
+      if (batchId) {
+        return (
+          <div className="flex flex-col">
+            <IdCell value={batchId} variant="plain" copyable tooltip={`Batch ${batchId} (row: ${log.request_id})`} />
+            <span className="text-[10px] text-muted-foreground">batch cost</span>
+          </div>
+        );
+      }
+      return <IdCell value={log.request_id} variant="plain" />;
+    },
   },
   {
     id: "spend",
diff --git a/ui/litellm-dashboard/src/components/view_logs/TypeBadges.test.tsx b/ui/litellm-dashboard/src/components/view_logs/TypeBadges.test.tsx
index e3467310265..8a964ea2124 100644
--- a/ui/litellm-dashboard/src/components/view_logs/TypeBadges.test.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/TypeBadges.test.tsx
@@ -1,6 +1,6 @@
 import { render, screen } from "@testing-library/react";
 import { describe, expect, it } from "vitest";
-import { LlmBadge, McpBadge, AgentBadge } from "./TypeBadges";
+import { LlmBadge, McpBadge, AgentBadge, BatchBadge } from "./TypeBadges";
 
 describe("TypeBadges", () => {
   describe("LlmBadge", () => {
@@ -43,4 +43,16 @@ describe("TypeBadges", () => {
       expect(screen.getByText("12")).toBeInTheDocument();
     });
   });
+
+  describe("BatchBadge", () => {
+    it("should render with default 'Batch' text when no count is provided", () => {
+      render(<BatchBadge />);
+      expect(screen.getByText("Batch")).toBeInTheDocument();
+    });
+
+    it("should render the count when provided", () => {
+      render(<BatchBadge count={4} />);
+      expect(screen.getByText("4")).toBeInTheDocument();
+    });
+  });
 });
diff --git a/ui/litellm-dashboard/src/components/view_logs/TypeBadges.tsx b/ui/litellm-dashboard/src/components/view_logs/TypeBadges.tsx
index 1ba4365f66e..84079848487 100644
--- a/ui/litellm-dashboard/src/components/view_logs/TypeBadges.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/TypeBadges.tsx
@@ -57,6 +57,25 @@ export const AgentIcon = ({ size = 12 }: { size?: number }) => (
   </svg>
 );
 
+/** Stacked-layers icon for Batch API call types (Lucide Layers-style). */
+export const LayersIcon = ({ size = 12 }: { size?: number }) => (
+  <svg
+    width={size}
+    height={size}
+    viewBox="0 0 24 24"
+    fill="none"
+    stroke="currentColor"
+    strokeWidth="2"
+    strokeLinecap="round"
+    strokeLinejoin="round"
+    className="shrink-0"
+  >
+    <path d="M12 2 2 7l10 5 10-5-10-5z" />
+    <path d="m2 17 10 5 10-5" />
+    <path d="m2 12 10 5 10-5" />
+  </svg>
+);
+
 export const LlmBadge = ({ count }: { count?: number }) => (
   <span className="inline-flex items-center gap-1 px-2 py-0.5 bg-info/10 text-info border border-info/20 rounded-full text-[11px] font-medium whitespace-nowrap">
     <SparkleIcon />
@@ -77,3 +96,10 @@ export const AgentBadge = ({ count }: { count?: number }) => (
     {count != null ? count : "Agent"}
   </span>
 );
+
+export const BatchBadge = ({ count }: { count?: number }) => (
+  <span className="inline-flex items-center gap-1 px-2 py-0.5 bg-teal-50 text-teal-700 border border-teal-200 rounded-full text-[11px] font-medium whitespace-nowrap dark:bg-teal-950 dark:text-teal-300 dark:border-teal-800">
+    <LayersIcon />
+    {count != null ? count : "Batch"}
+  </span>
+);
diff --git a/ui/litellm-dashboard/src/components/view_logs/batchLogUtils.test.ts b/ui/litellm-dashboard/src/components/view_logs/batchLogUtils.test.ts
new file mode 100644
index 00000000000..4da1e389646
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/view_logs/batchLogUtils.test.ts
@@ -0,0 +1,90 @@
+import { describe, expect, it } from "vitest";
+
+import {
+  getBatchIdFromRequestId,
+  getBatchModels,
+  getBatchRequestCounts,
+  getReasoningTokens,
+  isBatchCallType,
+} from "./batchLogUtils";
+
+/** Metadata shape the batch cost poller writes on an aretrieve_batch spend row. */
+const batchCostMetadata = {
+  batch_models: ["gemini-2.5-flash"],
+  batch_successful_requests: 2,
+  batch_failed_requests: 1,
+  usage_object: {
+    total_tokens: 270,
+    prompt_tokens: 14,
+    completion_tokens: 256,
+    completion_tokens_details: { text_tokens: 32, reasoning_tokens: 224 },
+  },
+};
+
+describe("isBatchCallType", () => {
+  it("recognizes the poller's aretrieve_batch and the create call types", () => {
+    for (const callType of ["aretrieve_batch", "retrieve_batch", "acreate_batch", "create_batch"]) {
+      expect(isBatchCallType(callType)).toBe(true);
+    }
+    expect(isBatchCallType("acompletion")).toBe(false);
+  });
+});
+
+describe("getBatchRequestCounts", () => {
+  it("reads both counts off a batch cost row", () => {
+    expect(getBatchRequestCounts(batchCostMetadata)).toEqual({ successful: 2, failed: 1 });
+  });
+
+  it("returns undefined for a non-batch row and for null counts, so no rollup renders", () => {
+    expect(getBatchRequestCounts({ status: "success" })).toBeUndefined();
+    expect(getBatchRequestCounts({ batch_successful_requests: null, batch_failed_requests: null })).toBeUndefined();
+    expect(getBatchRequestCounts(undefined)).toBeUndefined();
+  });
+
+  it("treats a lone present count as the other being 0, for rows logged mid-rollout", () => {
+    expect(getBatchRequestCounts({ batch_successful_requests: 3 })).toEqual({ successful: 3, failed: 0 });
+  });
+});
+
+describe("getBatchIdFromRequestId", () => {
+  it("strips the poller's synthetic _batch_cost suffix down to the provider batch id", () => {
+    expect(getBatchIdFromRequestId("batch_abc123_batch_cost")).toBe("batch_abc123");
+  });
+
+  it("returns undefined for ordinary request ids and a bare suffix", () => {
+    expect(getBatchIdFromRequestId("chatcmpl-123")).toBeUndefined();
+    expect(getBatchIdFromRequestId("_batch_cost")).toBeUndefined();
+  });
+});
+
+describe("getBatchModels", () => {
+  it("returns the model list from metadata.batch_models", () => {
+    expect(getBatchModels(batchCostMetadata)).toEqual(["gemini-2.5-flash"]);
+  });
+
+  it("returns undefined when absent, null, or empty", () => {
+    expect(getBatchModels({})).toBeUndefined();
+    expect(getBatchModels({ batch_models: null })).toBeUndefined();
+    expect(getBatchModels({ batch_models: [] })).toBeUndefined();
+  });
+});
+
+describe("getReasoningTokens", () => {
+  it("reads reasoning tokens from usage_object on a batch cost row", () => {
+    expect(getReasoningTokens(batchCostMetadata)).toBe(224);
+  });
+
+  it("prefers additional_usage_values, which per-request rows carry", () => {
+    const metadata = {
+      additional_usage_values: { completion_tokens_details: { reasoning_tokens: 40 } },
+      usage_object: { completion_tokens_details: { reasoning_tokens: 999 } },
+    };
+    expect(getReasoningTokens(metadata)).toBe(40);
+  });
+
+  it("returns undefined when the breakout is null or missing", () => {
+    expect(getReasoningTokens({ usage_object: { completion_tokens_details: null } })).toBeUndefined();
+    expect(getReasoningTokens({})).toBeUndefined();
+    expect(getReasoningTokens(undefined)).toBeUndefined();
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/view_logs/batchLogUtils.ts b/ui/litellm-dashboard/src/components/view_logs/batchLogUtils.ts
new file mode 100644
index 00000000000..ce7793065d2
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/view_logs/batchLogUtils.ts
@@ -0,0 +1,67 @@
+/**
+ * Helpers for reading batch-specific fields off a spend log row.
+ *
+ * The proxy's batch cost poller (CheckBatchCost) writes one spend log per completed batch
+ * with request_id "<batch_id>_batch_cost" and call_type "aretrieve_batch", carrying
+ * batch_models / batch_successful_requests / batch_failed_requests in metadata
+ * (see litellm/proxy/spend_tracking/spend_tracking_utils.py).
+ */
+
+import { BATCH_CALL_TYPES } from "./constants";
+
+export const BATCH_COST_REQUEST_ID_SUFFIX = "_batch_cost";
+
+export interface BatchRequestCounts {
+  successful: number;
+  failed: number;
+}
+
+export const isBatchCallType = (callType: string): boolean => BATCH_CALL_TYPES.includes(callType);
+
+const readMetaNumber = (metadata: Record<string, unknown> | undefined, key: string): number | undefined => {
+  const value = metadata?.[key];
+  return typeof value === "number" && Number.isFinite(value) ? value : undefined;
+};
+
+/**
+ * Per-request outcome counts of a batch cost row. Undefined when the row carries neither
+ * count (a non-batch row, or a batch logged before counts were tracked).
+ */
+export const getBatchRequestCounts = (
+  metadata: Record<string, unknown> | undefined,
+): BatchRequestCounts | undefined => {
+  const successful = readMetaNumber(metadata, "batch_successful_requests");
+  const failed = readMetaNumber(metadata, "batch_failed_requests");
+  if (successful === undefined && failed === undefined) return undefined;
+  return { successful: successful ?? 0, failed: failed ?? 0 };
+};
+
+/** The provider batch id behind a poller-written "<batch_id>_batch_cost" spend row. */
+export const getBatchIdFromRequestId = (requestId: string): string | undefined =>
+  requestId.endsWith(BATCH_COST_REQUEST_ID_SUFFIX) && requestId.length > BATCH_COST_REQUEST_ID_SUFFIX.length
+    ? requestId.slice(0, -BATCH_COST_REQUEST_ID_SUFFIX.length)
+    : undefined;
+
+/** The models the batch's requests actually ran on, from metadata.batch_models. */
+export const getBatchModels = (metadata: Record<string, unknown> | undefined): string[] | undefined => {
+  const models = metadata?.["batch_models"];
+  if (!Array.isArray(models)) return undefined;
+  const names = models.filter((model): model is string => typeof model === "string" && model !== "");
+  return names.length > 0 ? names : undefined;
+};
+
+/**
+ * Reasoning tokens aggregated across the row's completion usage. Read from the same two
+ * metadata containers the drawer already uses for prompt-token details: per-request rows
+ * carry additional_usage_values, batch cost rows carry usage_object.
+ */
+export const getReasoningTokens = (metadata: Record<string, unknown> | undefined): number | undefined => {
+  const readDetails = (container: unknown): number | undefined => {
+    if (typeof container !== "object" || container === null) return undefined;
+    const details = (container as Record<string, unknown>)["completion_tokens_details"];
+    if (typeof details !== "object" || details === null) return undefined;
+    const reasoning = (details as Record<string, unknown>)["reasoning_tokens"];
+    return typeof reasoning === "number" && Number.isFinite(reasoning) ? reasoning : undefined;
+  };
+  return readDetails(metadata?.["additional_usage_values"]) ?? readDetails(metadata?.["usage_object"]);
+};
diff --git a/ui/litellm-dashboard/src/components/view_logs/constants.ts b/ui/litellm-dashboard/src/components/view_logs/constants.ts
index 1c17f398e35..51889ae7d04 100644
--- a/ui/litellm-dashboard/src/components/view_logs/constants.ts
+++ b/ui/litellm-dashboard/src/components/view_logs/constants.ts
@@ -21,6 +21,9 @@ export const MCP_CALL_TYPES = ["call_mcp_tool", "list_mcp_tools"];
 /** Call types that represent agent/A2A requests (e.g. asend_message). */
 export const AGENT_CALL_TYPES = ["asend_message"];
 
+/** Call types that represent Batch API operations (creation and retrieval, sync and async). */
+export const BATCH_CALL_TYPES = ["acreate_batch", "create_batch", "aretrieve_batch", "retrieve_batch"];
+
 export const QUICK_SELECT_OPTIONS: { label: string; value: number; unit: string }[] = [
   { label: "Last Minute", value: 1, unit: "minutes" },
   { label: "Last 15 Minutes", value: 15, unit: "minutes" },

From c276813cb46f57b1934d5e18bedfc53a09e74df0 Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Thu, 3 Sep 2026 17:23:53 -0400
Subject: [PATCH 028/223] feat(batches): enrich batch cost rows with breakdown,
 identity, session, and org spend

---
 .../proxy/common_utils/check_batch_cost.py    | 48 ++++++++++----
 litellm/batches/batch_utils.py                | 52 +++++++++-------
 litellm/litellm_core_utils/litellm_logging.py | 15 +++++
 .../spend_tracking/spend_tracking_utils.py    | 27 +++++++-
 .../test_batches_logging_unit_tests.py        | 60 ++++++++++++++++--
 .../proxy_unit_tests/test_check_batch_cost.py | 45 ++++++++++++++
 .../test_litellm/batches/test_batch_utils.py  | 34 +++++++---
 .../test_spend_tracking_utils.py              | 62 +++++++++++++++++++
 .../view_logs/RequestLogsTableColumns.tsx     |  4 +-
 9 files changed, 295 insertions(+), 52 deletions(-)

diff --git a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
index 354a6ed2fd0..be6e52681fb 100644
--- a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
+++ b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
@@ -112,35 +112,39 @@ class CheckBatchCost:
             verbose_proxy_logger.error(f"CheckBatchCost: could not look up user {user_id} for batch {batch_id}: {e}")
             return {}
 
-    async def _get_key_alias(self, batch_id: str, api_key: str | None) -> str | None:
-        """Resolve the creating virtual key's alias from its hashed token."""
+    async def _get_key_attribution(self, batch_id: str, api_key: str | None) -> tuple[str | None, str | None]:
+        """Resolve the creating virtual key's (alias, org_id) from its hashed token."""
         if not api_key:
-            return None
+            return None, None
         try:
             key_row: prisma_models.LiteLLM_VerificationToken | None = (
                 await self.prisma_client.db.litellm_verificationtoken.find_unique(
                     where={"token": api_key}
                 )
             )
-            return getattr(key_row, "key_alias", None) if key_row is not None else None
+            if key_row is None:
+                return None, None
+            return getattr(key_row, "key_alias", None), getattr(key_row, "org_id", None)
         except Exception as e:
             verbose_proxy_logger.error(f"CheckBatchCost: could not look up key alias for batch {batch_id}: {e}")
-            return None
+            return None, None
 
-    async def _get_team_alias(self, team_id: str | None) -> str | None:
-        """Resolve a team's alias from its id."""
+    async def _get_team_attribution(self, team_id: str | None) -> tuple[str | None, str | None]:
+        """Resolve a team's (alias, organization_id) from its id."""
         if not team_id:
-            return None
+            return None, None
         try:
             team_row: prisma_models.LiteLLM_TeamTable | None = (
                 await self.prisma_client.db.litellm_teamtable.find_unique(
                     where={"team_id": team_id}
                 )
             )
-            return getattr(team_row, "team_alias", None) if team_row is not None else None
+            if team_row is None:
+                return None, None
+            return getattr(team_row, "team_alias", None), getattr(team_row, "organization_id", None)
         except Exception as e:
             verbose_proxy_logger.error(f"CheckBatchCost: could not look up team alias for team {team_id}: {e}")
-            return None
+            return None, None
 
     async def _build_creator_attribution_metadata(
         self, job: "LiteLLM_ManagedObjectTable", batch_id: str
@@ -153,6 +157,10 @@ class CheckBatchCost:
         user_api_key_alias; when it has no alias, or the key has since been rotated or
         deleted, the field keeps the creating user's alias that _get_user_info filled in,
         because a resolvable name is more useful on the spend row than a null.
+
+        user_api_key_org_id must be resolved here too: the spend update writer reads it
+        off this metadata to increment organization spend, so leaving it out silently
+        drops batch cost from org accounting for keys and teams that belong to one.
         """
         api_key = getattr(job, "api_key", None)
         team_id = getattr(job, "team_id", None)
@@ -165,12 +173,15 @@ class CheckBatchCost:
             **(await self._get_user_info(batch_id, job.created_by)),
         }
 
-        key_alias = await self._get_key_alias(batch_id, api_key)
+        key_alias, key_org_id = await self._get_key_attribution(batch_id, api_key)
         if key_alias is not None:
             metadata["user_api_key_alias"] = key_alias
-        team_alias = await self._get_team_alias(team_id)
+        team_alias, team_org_id = await self._get_team_attribution(team_id)
         if team_alias is not None:
             metadata["user_api_key_team_alias"] = team_alias
+        org_id: Final = key_org_id or team_org_id
+        if org_id is not None:
+            metadata["user_api_key_org_id"] = org_id
         if isinstance(request_tags, list) and request_tags:
             metadata["tags"] = [tag for tag in request_tags if isinstance(tag, str)]
 
@@ -804,6 +815,7 @@ class CheckBatchCost:
             function_id=str(uuid.uuid4()),
         )
 
+        deployment_api_base: Final = deployment_info.litellm_params.api_base
         logging_obj.update_environment_variables(
             litellm_params={
                 # set the user-agent header so that S3 callback consumers can easily identify CheckBatchCost callbacks
@@ -812,9 +824,17 @@ class CheckBatchCost:
                         "user-agent": CHECK_BATCH_COST_USER_AGENT,
                     }
                 },
-                "metadata": await self._build_creator_attribution_metadata(job, batch_id),
+                **({"api_base": deployment_api_base} if deployment_api_base else {}),
+                "metadata": {
+                    **(await self._build_creator_attribution_metadata(job, batch_id)),
+                    # spend logs read the deployment identity off these metadata keys, so
+                    # without them the batch cost row carries no model_id or model_group
+                    "model_info": {"id": model_id},
+                    "model_group": deployment_info.model_name,
+                },
             },
             optional_params={},
+            custom_llm_provider=str(llm_provider) if llm_provider else None,
         )
 
         if not await self._claim_job_for_costing(job):
@@ -832,6 +852,8 @@ class CheckBatchCost:
                 batch_models=batch_result.models,
                 batch_successful_requests=batch_result.successful_requests,
                 batch_failed_requests=batch_result.failed_requests,
+                batch_prompt_cost=batch_result.prompt_cost,
+                batch_completion_cost=batch_result.completion_cost,
             )
         except Exception:
             await self._release_job_claim(job)
diff --git a/litellm/batches/batch_utils.py b/litellm/batches/batch_utils.py
index 3831f57a10d..a688e9f69fb 100644
--- a/litellm/batches/batch_utils.py
+++ b/litellm/batches/batch_utils.py
@@ -10,7 +10,7 @@ from litellm._logging import verbose_logger
 from litellm.litellm_core_utils.get_litellm_params import AWS_CREDENTIAL_KWARGS_KEYS
 from litellm.litellm_core_utils.llm_cost_calc.utils import parse_prompt_tokens_details
 from litellm.types.llms.openai import Batch
-from litellm.types.utils import CallTypes, ModelInfo, Usage
+from litellm.types.utils import ModelInfo, Usage
 from litellm.utils import token_counter
 
 
@@ -23,6 +23,8 @@ class BatchCostUsageResult:
     models: list[str]
     successful_requests: int
     failed_requests: int
+    prompt_cost: float = 0.0
+    completion_cost: float = 0.0
 
 
 async def calculate_batch_cost_and_usage(
@@ -130,7 +132,8 @@ class _LineOutcome(Enum):
 
 @dataclass(frozen=True, slots=True)
 class _BatchOutputLineStats:
-    cost: float
+    prompt_cost: float
+    completion_cost: float
     prompt_tokens: int
     completion_tokens: int
     total_tokens: int
@@ -193,15 +196,16 @@ def _compute_output_line_stats(
     raw_model: Final = response_body.get("model")
     response_model: Final = raw_model if isinstance(raw_model, str) and raw_model else None
     completion_details: Final = usage.completion_tokens_details
+    line_prompt_cost, line_completion_cost = _output_line_cost(
+        usage=usage,
+        custom_llm_provider=custom_llm_provider,
+        model_name=model_name,
+        response_model=response_model,
+        model_info=model_info,
+    )
     return _BatchOutputLineStats(
-        cost=_output_line_cost(
-            response_body=response_body,
-            usage=usage,
-            custom_llm_provider=custom_llm_provider,
-            model_name=model_name,
-            response_model=response_model,
-            model_info=model_info,
-        ),
+        prompt_cost=line_prompt_cost,
+        completion_cost=line_completion_cost,
         prompt_tokens=usage.prompt_tokens,
         completion_tokens=usage.completion_tokens,
         total_tokens=usage.total_tokens,
@@ -213,31 +217,24 @@ def _compute_output_line_stats(
 
 
 def _output_line_cost(
-    response_body: Mapping[str, Any],
     usage: Usage,
     custom_llm_provider: Literal["openai", "azure", "vertex_ai", "hosted_vllm", "anthropic", "bedrock"],
     model_name: str | None,
     response_model: str | None,
     model_info: ModelInfo | None,
-) -> float:
+) -> tuple[float, float]:
+    """(prompt_cost, completion_cost) for one output line, priced at batch rates."""
     from litellm.cost_calculator import batch_cost_calculator
 
-    if model_info is None and custom_llm_provider not in ("anthropic", "bedrock"):
-        return litellm.completion_cost(
-            completion_response=response_body,
-            custom_llm_provider=custom_llm_provider,
-            call_type=CallTypes.aretrieve_batch.value,
-        )
     cost_model: Final = (
         model_name if custom_llm_provider == "bedrock" and model_name else response_model or model_name or ""
     )
-    prompt_cost, completion_cost = batch_cost_calculator(
+    return batch_cost_calculator(
         usage=usage,
         model=cost_model,
         custom_llm_provider=custom_llm_provider,
         model_info=model_info,
     )
-    return prompt_cost + completion_cost
 
 
 def _aggregate_batch_cost_usage_models(
@@ -270,7 +267,9 @@ def _aggregate_batch_cost_usage_models(
         **cache_token_params,
     )
     batch_models: Final = [model_name] if model_name else [stats.model for stats in line_stats if stats.model]
-    total_cost: Final = sum((stats.cost for stats in line_stats), 0.0)
+    total_prompt_cost: Final = sum((stats.prompt_cost for stats in line_stats), 0.0)
+    total_completion_cost: Final = sum((stats.completion_cost for stats in line_stats), 0.0)
+    total_cost: Final = total_prompt_cost + total_completion_cost
     verbose_logger.debug(
         "batch output aggregate: cost=%s usage=%s models=%s successful=%d failed=%d",
         total_cost,
@@ -285,6 +284,8 @@ def _aggregate_batch_cost_usage_models(
         models=batch_models,
         successful_requests=successful_requests,
         failed_requests=failed_requests,
+        prompt_cost=total_prompt_cost,
+        completion_cost=total_completion_cost,
     )
 
 
@@ -309,7 +310,8 @@ def calculate_vertex_ai_batch_cost_and_usage(
     """
     from litellm.cost_calculator import batch_cost_calculator
 
-    total_cost = 0.0
+    total_prompt_cost = 0.0  # rebind-ok: loop accumulator, matches total_tokens below
+    total_completion_cost = 0.0  # rebind-ok: loop accumulator, matches total_tokens below
     total_tokens = 0
     prompt_tokens = 0
     completion_tokens = 0
@@ -341,7 +343,8 @@ def calculate_vertex_ai_batch_cost_and_usage(
                 model=actual_model_name,
                 custom_llm_provider="vertex_ai",
             )
-            total_cost += p_cost + c_cost
+            total_prompt_cost += p_cost
+            total_completion_cost += c_cost
         except Exception as e:
             verbose_logger.debug("vertex_ai batch cost calculation error for line: %s", str(e))
 
@@ -349,6 +352,7 @@ def calculate_vertex_ai_batch_cost_and_usage(
         completion_tokens += _completion
         total_tokens += _total
 
+    total_cost: Final = total_prompt_cost + total_completion_cost
     verbose_logger.info(
         "vertex_ai batch cost: cost=%s, prompt=%d, completion=%d, total=%d, successful=%d, failed=%d",
         total_cost,
@@ -369,6 +373,8 @@ def calculate_vertex_ai_batch_cost_and_usage(
         models=[actual_model_name],
         successful_requests=successful_requests,
         failed_requests=failed_requests,
+        prompt_cost=total_prompt_cost,
+        completion_cost=total_completion_cost,
     )
 
 
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index f54eeca5178..3a616e7961d 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -2904,6 +2904,15 @@ class Logging(LiteLLMLoggingBaseClass):
                 result._hidden_params["batch_successful_requests"] = batch_successful_requests  # pyright: ignore[reportPrivateUsage]  # rebind-ok: same result._hidden_params pattern as response_cost/batch_models above
                 result._hidden_params["batch_failed_requests"] = batch_failed_requests  # pyright: ignore[reportPrivateUsage]  # rebind-ok: same pattern as above
                 result.usage = batch_usage
+                batch_prompt_cost: Final = kwargs.get("batch_prompt_cost", None)
+                batch_completion_cost: Final = kwargs.get("batch_completion_cost", None)
+                if batch_prompt_cost is not None and batch_completion_cost is not None:
+                    self.set_cost_breakdown(
+                        input_cost=batch_prompt_cost,
+                        output_cost=batch_completion_cost,
+                        total_cost=batch_cost,
+                        cost_for_built_in_tools_cost_usd_dollar=0.0,
+                    )
 
             elif should_compute_batch_data:
                 batch_result: Final = await _handle_completed_batch(
@@ -2919,6 +2928,12 @@ class Logging(LiteLLMLoggingBaseClass):
                 result._hidden_params["batch_successful_requests"] = batch_result.successful_requests  # pyright: ignore[reportPrivateUsage]  # rebind-ok: same pattern as above
                 result._hidden_params["batch_failed_requests"] = batch_result.failed_requests  # pyright: ignore[reportPrivateUsage]  # rebind-ok: same pattern as above
                 result.usage = batch_result.usage
+                self.set_cost_breakdown(
+                    input_cost=batch_result.prompt_cost,
+                    output_cost=batch_result.completion_cost,
+                    total_cost=batch_result.cost,
+                    cost_for_built_in_tools_cost_usd_dollar=0.0,
+                )
 
         start_time, end_time, result = self._success_handler_helper_fn(
             start_time=start_time,
diff --git a/litellm/proxy/spend_tracking/spend_tracking_utils.py b/litellm/proxy/spend_tracking/spend_tracking_utils.py
index a37c3ba4405..10db82d1b64 100644
--- a/litellm/proxy/spend_tracking/spend_tracking_utils.py
+++ b/litellm/proxy/spend_tracking/spend_tracking_utils.py
@@ -582,6 +582,7 @@ def get_logging_payload(kwargs, response_obj, start_time, end_time) -> SpendLogs
                 metadata=metadata,
                 standard_logging_payload=standard_logging_payload,
                 omit_when_missing=_omits_session_id_when_missing(metadata),
+                batch_trace_session_id=_get_batch_trace_session_id(call_type=call_type, request_id=id),
             ),
             request_duration_ms=_get_request_duration_ms(start_time, end_time),
             status=_get_status_for_spend_log(
@@ -620,20 +621,44 @@ def _omits_session_id_when_missing(metadata: Mapping[str, object] | None) -> boo
     return general_settings.get("missing_session_id") == "omit"
 
 
+_BATCH_TRACE_CALL_TYPES: Final = frozenset(
+    {
+        CallTypes.create_batch.value,
+        CallTypes.acreate_batch.value,
+        CallTypes.retrieve_batch.value,
+        CallTypes.aretrieve_batch.value,
+    }
+)
+
+
+def _get_batch_trace_session_id(call_type: str | None, request_id: str | None) -> str | None:
+    """A batch's create row and its poller-written cost row both derive their request id
+    from the same batch id (the cost row appends BATCH_COST_REQUEST_ID_SUFFIX), so using
+    that id as the session groups the batch lifecycle into one trace on the logs UI. The
+    poller builds its own logging context, so per-request trace ids can never link them."""
+    if call_type not in _BATCH_TRACE_CALL_TYPES or not request_id:
+        return None
+    return request_id.removesuffix(BATCH_COST_REQUEST_ID_SUFFIX)
+
+
 def _get_session_id_for_spend_log(
     kwargs: Mapping[str, object],
     metadata: Mapping[str, object] | None,
     standard_logging_payload: StandardLoggingPayload | None,
     omit_when_missing: bool,
+    batch_trace_session_id: str | None = None,
 ) -> str | None:
     """Under `omit` only `metadata.session_id`, the key Langfuse reads, counts as a session; `litellm_session_id` may
-    be a copied trace id."""
+    be a copied trace id. Batch call types carry a deterministic session derived from the batch id, which outranks
+    the per-request trace ids because those differ between the create call and the cost poller's row."""
     if omit_when_missing:
         session_id: Final = metadata.get("session_id") if metadata else None
         return str(session_id) if session_id else None
 
     from litellm._uuid import uuid
 
+    if batch_trace_session_id is not None:
+        return batch_trace_session_id
     if standard_logging_payload is not None and standard_logging_payload.get("trace_id") is not None:
         return str(standard_logging_payload.get("trace_id"))
     if kwargs.get("litellm_trace_id") is not None:
diff --git a/tests/batches_tests/test_batches_logging_unit_tests.py b/tests/batches_tests/test_batches_logging_unit_tests.py
index 5bde40d90b0..73adb391481 100644
--- a/tests/batches_tests/test_batches_logging_unit_tests.py
+++ b/tests/batches_tests/test_batches_logging_unit_tests.py
@@ -144,18 +144,20 @@ def test_get_batch_job_total_usage_from_file_content(sample_file_content_dict):
 @pytest.mark.asyncio
 async def test_batch_cost_calculator(sample_file_content_dict):
     """
-    mock litellm.completion_cost to return 0.5
+    mock batch_cost_calculator to return (0.3, 0.2) per line
 
     we know sample_file_content_dict has 2 successful responses
 
-    so we expect the cost to be 0.5 * 2 = 1.0
+    so we expect the cost to be (0.3 + 0.2) * 2 = 1.0, split 0.6 / 0.4
     """
-    with patch("litellm.completion_cost", return_value=0.5):
+    with patch("litellm.cost_calculator.batch_cost_calculator", return_value=(0.3, 0.2)):
         result = _aggregate_batch_cost_usage_models(
             entries=sample_file_content_dict,
             custom_llm_provider="openai",
         )
-        assert result.cost == 1.0  # 0.5 * 2 successful responses
+        assert result.cost == pytest.approx(1.0)  # (0.3 + 0.2) * 2 successful responses
+        assert result.prompt_cost == pytest.approx(0.6)
+        assert result.completion_cost == pytest.approx(0.4)
 
 
 def test_get_response_from_batch_job_output_file(sample_file_content_dict):
@@ -402,6 +404,56 @@ async def test_batch_retrieve_cost_tracking_with_explicit_cost_data():
         assert mock_batch.usage == explicit_usage
 
 
+@pytest.mark.asyncio
+async def test_batch_retrieve_explicit_cost_split_sets_cost_breakdown():
+    """The poller passes the batch's prompt/completion cost split so the spend row's
+    cost_breakdown carries real input/output costs; without it the UI's Cost Breakdown
+    card renders blank for every batch. Regression for the split being dropped."""
+    from litellm.litellm_core_utils.litellm_logging import Logging
+    from litellm.types.utils import CallTypes, LiteLLMBatch
+
+    mock_batch = LiteLLMBatch(
+        id="batch-breakdown-1",
+        object="batch",
+        endpoint="/v1/chat/completions",
+        errors=None,
+        input_file_id="file-input-1",
+        completion_window="24h",
+        status="completed",
+        output_file_id="file-output-1",
+        created_at=1234567890,
+    )
+    mock_batch._hidden_params = {}
+
+    logging_obj = Logging(
+        model="gpt-5-mini",
+        messages=[{"role": "user", "content": "test"}],
+        stream=False,
+        call_type=CallTypes.aretrieve_batch.value,
+        litellm_call_id="test-call-breakdown",
+        function_id="test-function",
+        start_time=time.time(),
+        dynamic_success_callbacks=[],
+    )
+    logging_obj.custom_llm_provider = "openai"
+
+    await logging_obj.async_success_handler(
+        result=mock_batch,
+        start_time=time.time(),
+        end_time=time.time() + 1,
+        batch_cost=0.10,
+        batch_usage=litellm.Usage(prompt_tokens=200, completion_tokens=100, total_tokens=300),
+        batch_models=["gpt-5-mini"],
+        batch_prompt_cost=0.06,
+        batch_completion_cost=0.04,
+    )
+
+    assert logging_obj.cost_breakdown is not None
+    assert logging_obj.cost_breakdown["input_cost"] == 0.06
+    assert logging_obj.cost_breakdown["output_cost"] == 0.04
+    assert logging_obj.cost_breakdown["total_cost"] == 0.10
+
+
 @pytest.mark.asyncio
 async def test_batch_retrieve_cost_tracking_with_unified_file_id_incomplete_batch():
     """
diff --git a/tests/proxy_unit_tests/test_check_batch_cost.py b/tests/proxy_unit_tests/test_check_batch_cost.py
index ff5e8f89d64..9ee0a36f00b 100644
--- a/tests/proxy_unit_tests/test_check_batch_cost.py
+++ b/tests/proxy_unit_tests/test_check_batch_cost.py
@@ -2553,6 +2553,51 @@ class TestBatchCostAttribution:
 
         assert metadata["user_api_key_alias"] == "prod-key"
 
+    @pytest.mark.asyncio
+    async def test_org_id_comes_from_the_creating_key(self):
+        """The spend update writer increments organization spend from user_api_key_org_id,
+        so an org-scoped key's batch cost must carry the key's org id."""
+        from types import SimpleNamespace
+
+        instance = self._instance(
+            key_row=SimpleNamespace(key_alias="prod-key", org_id="org-42"),
+            team_row=SimpleNamespace(team_alias="Team Alpha", organization_id="org-team"),
+        )
+
+        metadata = await instance._build_creator_attribution_metadata(self._job(), "batch-1")
+
+        assert metadata["user_api_key_org_id"] == "org-42"
+
+    @pytest.mark.asyncio
+    async def test_org_id_falls_back_to_the_team_organization(self):
+        """A key with no org of its own still books batch spend against its team's
+        organization, matching how the request path resolves org attribution."""
+        from types import SimpleNamespace
+
+        instance = self._instance(
+            key_row=SimpleNamespace(key_alias="prod-key", org_id=None),
+            team_row=SimpleNamespace(team_alias="Team Alpha", organization_id="org-team"),
+        )
+
+        metadata = await instance._build_creator_attribution_metadata(self._job(), "batch-1")
+
+        assert metadata["user_api_key_org_id"] == "org-team"
+
+    @pytest.mark.asyncio
+    async def test_no_org_leaves_the_key_unset(self):
+        """Without any org the key is absent entirely, so the spend writer's org update
+        stays skipped instead of matching an empty-string organization."""
+        from types import SimpleNamespace
+
+        instance = self._instance(
+            key_row=SimpleNamespace(key_alias="prod-key", org_id=None),
+            team_row=SimpleNamespace(team_alias="Team Alpha", organization_id=None),
+        )
+
+        metadata = await instance._build_creator_attribution_metadata(self._job(), "batch-1")
+
+        assert "user_api_key_org_id" not in metadata
+
 
 class TestPollPageStarvation:
     """LIT-5462 regression: a row that can never be costed used to keep its slot in the
diff --git a/tests/test_litellm/batches/test_batch_utils.py b/tests/test_litellm/batches/test_batch_utils.py
index c86c7c4df03..1fd78870481 100644
--- a/tests/test_litellm/batches/test_batch_utils.py
+++ b/tests/test_litellm/batches/test_batch_utils.py
@@ -489,7 +489,9 @@ def test_aggregate_counts_successful_and_failed_requests(monkeypatch):
 
 
 def test_aggregate_returns_batch_cost_usage_result_dataclass(monkeypatch):
-    monkeypatch.setattr(litellm, "completion_cost", lambda **kw: 1.0)
+    import litellm.cost_calculator as cc
+
+    monkeypatch.setattr(cc, "batch_cost_calculator", lambda **kw: (0.4, 0.6))
     result = bu._aggregate_batch_cost_usage_models(
         entries=[_success_row(usage=_usage(10, 5))], custom_llm_provider="openai"
     )
@@ -500,6 +502,7 @@ def test_aggregate_returns_batch_cost_usage_result_dataclass(monkeypatch):
         1,
         0,
     )
+    assert (result.prompt_cost, result.completion_cost) == (0.4, 0.6)
 
 
 # =========================================================================== #
@@ -507,15 +510,17 @@ def test_aggregate_returns_batch_cost_usage_result_dataclass(monkeypatch):
 # =========================================================================== #
 
 
-def test_cost_from_content_completion_cost_path(monkeypatch):
-    # model_info is None -> litellm.completion_cost per successful row.
+def test_cost_without_model_info_prices_each_row_by_its_response_model(monkeypatch):
+    # model_info is None -> batch_cost_calculator per successful row, model from the response body.
+    import litellm.cost_calculator as cc
+
     calls = []
 
-    def _completion_cost(**kw):
+    def _batch_cost(**kw):
         calls.append(kw)
-        return 0.5
+        return (0.3, 0.2)
 
-    monkeypatch.setattr(litellm, "completion_cost", _completion_cost)
+    monkeypatch.setattr(cc, "batch_cost_calculator", _batch_cost)
     rows = [
         _success_row(usage=_usage(10, 5)),
         _failed_row(),  # excluded -> not costed
@@ -524,8 +529,10 @@ def test_cost_from_content_completion_cost_path(monkeypatch):
 
     result = bu._aggregate_batch_cost_usage_models(entries=rows, custom_llm_provider="openai")
 
-    assert result.cost == 1.0  # 2 successful * 0.5
+    assert result.cost == pytest.approx(1.0)  # 2 successful * (0.3 + 0.2)
+    assert (result.prompt_cost, result.completion_cost) == (pytest.approx(0.6), pytest.approx(0.4))
     assert len(calls) == 2  # failed row not costed
+    assert all(call["model"] == "gpt-4o" and call["model_info"] is None for call in calls)
     assert result.successful_requests == 2
     assert result.failed_requests == 1
 
@@ -578,7 +585,9 @@ def test_aggregate_consumes_entries_in_a_single_pass(monkeypatch):
     """A one-shot generator: any implementation that iterates the entries twice
     (e.g. separate cost and usage passes) sees nothing on the second pass and
     returns wrong totals for at least one of cost/usage/models."""
-    monkeypatch.setattr(litellm, "completion_cost", lambda **kw: 0.5)
+    import litellm.cost_calculator as cc
+
+    monkeypatch.setattr(cc, "batch_cost_calculator", lambda **kw: (0.25, 0.25))
     one_shot = (row for row in [_success_row(usage=_usage(10, 5)), _failed_row(), _success_row(usage=_usage(20, 10))])
 
     result = bu._aggregate_batch_cost_usage_models(entries=one_shot, custom_llm_provider="openai")
@@ -753,12 +762,15 @@ def test_vertex_cost_error_in_line_is_swallowed(monkeypatch):
 
 @pytest.mark.asyncio
 async def test_calculate_batch_cost_and_usage_orchestration(monkeypatch):
+    import litellm.cost_calculator as cc
+
     rows = [_success_row(model="gpt-4o", usage=_usage(10, 5))]
-    monkeypatch.setattr(litellm, "completion_cost", lambda **kw: 2.5)
+    monkeypatch.setattr(cc, "batch_cost_calculator", lambda **kw: (1.5, 1.0))
 
     result = await bu.calculate_batch_cost_and_usage(file_content_dictionary=rows, custom_llm_provider="openai")
 
     assert result.cost == 2.5
+    assert (result.prompt_cost, result.completion_cost) == (1.5, 1.0)
     assert (result.usage.prompt_tokens, result.usage.completion_tokens, result.usage.total_tokens) == (10, 5, 15)
     assert result.models == ["gpt-4o"]
 
@@ -1107,8 +1119,10 @@ async def test_handle_completed_batch_orchestration(monkeypatch):
     async def fake_fetch(batch, custom_llm_provider, litellm_params=None):
         return _vertex_jsonl(rows)
 
+    import litellm.cost_calculator as cc
+
     monkeypatch.setattr(bu, "_fetch_batch_output_file_content", fake_fetch)
-    monkeypatch.setattr(litellm, "completion_cost", lambda **kw: 3.3)
+    monkeypatch.setattr(cc, "batch_cost_calculator", lambda **kw: (2.0, 1.3))
 
     result = await bu._handle_completed_batch(_batch("of"), custom_llm_provider="openai")
 
diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py b/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py
index 323930eee60..be274befd25 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py
@@ -128,6 +128,68 @@ def test_legacy_policy_keeps_trace_id_fallback():
     assert len(str(generated)) == 36
 
 
+def test_batch_lifecycle_rows_derive_the_same_session_from_the_batch_id():
+    """The create call's request id IS the batch id and the poller's cost row appends
+    _batch_cost to it, so deriving the session from the request id lands both rows in one
+    trace on the logs UI even though the poller builds a fresh logging context per cycle."""
+    from litellm.proxy.spend_tracking.spend_tracking_utils import _get_batch_trace_session_id
+
+    create_session: Final = _get_batch_trace_session_id(call_type="acreate_batch", request_id="batch-uid-1")
+    cost_session: Final = _get_batch_trace_session_id(
+        call_type="aretrieve_batch", request_id="batch-uid-1_batch_cost"
+    )
+    assert create_session == cost_session == "batch-uid-1"
+
+
+def test_non_batch_call_types_derive_no_batch_session():
+    from litellm.proxy.spend_tracking.spend_tracking_utils import _get_batch_trace_session_id
+
+    assert _get_batch_trace_session_id(call_type="acompletion", request_id="chatcmpl-1") is None
+
+
+def test_batch_session_outranks_the_per_request_trace_id():
+    """Each batch lifecycle call carries its own auto-generated trace id, so letting the
+    trace id win would scatter the rows across sessions again."""
+    session_id: Final = _get_session_id_for_spend_log(
+        kwargs={"litellm_trace_id": "trace-abc"},
+        metadata={"trace_id": "trace-abc"},
+        standard_logging_payload=_TRACE_ONLY_STANDARD_LOGGING,
+        omit_when_missing=False,
+        batch_trace_session_id="batch-uid-1",
+    )
+    assert session_id == "batch-uid-1"
+
+
+def test_omit_policy_still_suppresses_batch_sessions():
+    session_id: Final = _get_session_id_for_spend_log(
+        kwargs={},
+        metadata=None,
+        standard_logging_payload=None,
+        omit_when_missing=True,
+        batch_trace_session_id="batch-uid-1",
+    )
+    assert session_id is None
+
+
+def test_get_logging_payload_groups_batch_create_and_cost_rows_in_one_session():
+    def _payload(call_type: str) -> SpendLogsPayload:
+        return get_logging_payload(
+            kwargs={
+                "call_type": call_type,
+                "model": "gpt-4o-mini",
+                "litellm_params": {"metadata": {"user_api_key": "test-key"}},
+            },
+            response_obj=litellm.ModelResponse(id="batch-uid-1", choices=[], usage=litellm.Usage()),
+            start_time=datetime.datetime.now(timezone.utc),
+            end_time=datetime.datetime.now(timezone.utc),
+        )
+
+    create_payload: Final = _payload("acreate_batch")
+    cost_payload: Final = _payload("aretrieve_batch")
+    assert cost_payload["request_id"] == "batch-uid-1_batch_cost"
+    assert create_payload["session_id"] == cost_payload["session_id"] == "batch-uid-1"
+
+
 @pytest.mark.parametrize(
     ("request_metadata", "expected"),
     [
diff --git a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
index b4296abe266..a444acb9517 100644
--- a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
@@ -64,10 +64,12 @@ export const getRequestLogsTableColumns = ({
       const sessionAgentCount = log.session_agent_count ?? (isAgent ? sessionCount : 0);
       const sessionMcpCount = log.mcp_tool_call_count ?? (isMcp ? sessionCount : 0);
 
+      if (isBatchCallType(log.call_type)) {
+        return <BatchBadge count={sessionCount > 1 ? sessionCount : undefined} />;
+      }
       if (sessionCount <= 1) {
         if (isMcp) return <McpBadge />;
         if (isAgent) return <AgentBadge />;
-        if (isBatchCallType(log.call_type)) return <BatchBadge />;
         return <LlmBadge />;
       }
 

From 06c860b60a5c4a2d14a02dead9c809b8b7eaf22f Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Thu, 3 Sep 2026 18:09:18 -0400
Subject: [PATCH 029/223] fix(ui): type batch results metadata as unknown
 instead of any

---
 .../components/view_logs/LogDetailsDrawer/LogDetailContent.tsx  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.tsx
index 8e0f041b88d..710d82b2f9d 100644
--- a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.tsx
@@ -388,7 +388,7 @@ function MetricLabel({ label, tooltip, docsUrl }: { label: string; tooltip: stri
  * Aggregate per-request outcomes for a batch cost row: batch id, success/failure counts
  * from the parsed output and error files, and the models the batch actually ran on.
  */
-function BatchResultsSection({ logEntry, metadata }: { logEntry: LogEntry; metadata: Record<string, any> }) {
+function BatchResultsSection({ logEntry, metadata }: { logEntry: LogEntry; metadata: Record<string, unknown> }) {
   const counts = getBatchRequestCounts(metadata);
   const batchId = getBatchIdFromRequestId(logEntry.request_id);
   const batchModels = getBatchModels(metadata);

From 538cd2c3b00d31fcb516c8326de87883e0e27f94 Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Thu, 3 Sep 2026 18:16:31 -0400
Subject: [PATCH 030/223] fix(batches): narrow batch cost kwargs before the
 breakdown and drop node access in test

---
 litellm/litellm_core_utils/litellm_logging.py        |  6 +++++-
 .../LogDetailsDrawer/LogDetailContent.test.tsx       | 12 +++++++-----
 2 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 3a616e7961d..03486f4f729 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -2906,7 +2906,11 @@ class Logging(LiteLLMLoggingBaseClass):
                 result.usage = batch_usage
                 batch_prompt_cost: Final = kwargs.get("batch_prompt_cost", None)
                 batch_completion_cost: Final = kwargs.get("batch_completion_cost", None)
-                if batch_prompt_cost is not None and batch_completion_cost is not None:
+                if (
+                    isinstance(batch_prompt_cost, float)
+                    and isinstance(batch_completion_cost, float)
+                    and isinstance(batch_cost, float)
+                ):
                     self.set_cost_breakdown(
                         input_cost=batch_prompt_cost,
                         output_cost=batch_completion_cost,
diff --git a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.test.tsx b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.test.tsx
index 91778d2a98a..a893e9bffd0 100644
--- a/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.test.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/LogDetailsDrawer/LogDetailContent.test.tsx
@@ -163,11 +163,13 @@ describe("LogDetailContent", () => {
         />,
       );
 
-      const section = screen.getByText("Batch Results").closest('[data-slot="card"]') as HTMLElement;
-      expect(within(section).getByText("batch_abc123")).toBeInTheDocument();
-      expect(within(section).getByText("2")).toBeInTheDocument();
-      expect(within(section).getByText("1")).toBeInTheDocument();
-      expect(within(section).getByText("gemini-2.5-flash")).toBeInTheDocument();
+      expect(screen.getByText("Batch Results")).toBeInTheDocument();
+      expect(screen.getByText("batch_abc123")).toBeInTheDocument();
+      expect(screen.getByText("Successful Requests")).toBeInTheDocument();
+      expect(screen.getByText("2")).toBeInTheDocument();
+      expect(screen.getByText("Failed Requests")).toBeInTheDocument();
+      expect(screen.getByText("1")).toBeInTheDocument();
+      expect(screen.getByText("gemini-2.5-flash")).toBeInTheDocument();
     });
 
     it("still renders the batch id when a legacy row carries no counts", () => {

From 7fb4b427cec0db7d3bc85dd6c2055ca987f2390b Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Thu, 3 Sep 2026 18:36:05 -0400
Subject: [PATCH 031/223] feat(batches): snapshot the creating key's org on the
 managed object row

---
 .../proxy/common_utils/check_batch_cost.py    | 61 +++++++++++++------
 .../proxy/hooks/managed_files.py              |  1 +
 .../migration.sql                             |  4 ++
 .../litellm_proxy_extras/schema.prisma        |  1 +
 litellm/models/managed_files.py               |  1 +
 schema.prisma                                 |  1 +
 .../proxy_unit_tests/test_check_batch_cost.py | 21 ++++++-
 ..._batch_update_db_managed_output_file_id.py |  4 +-
 8 files changed, 74 insertions(+), 20 deletions(-)
 create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20260903230000_add_org_id_to_managed_object_table/migration.sql

diff --git a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
index be6e52681fb..595a8d04bed 100644
--- a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
+++ b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
@@ -112,39 +112,66 @@ class CheckBatchCost:
             verbose_proxy_logger.error(f"CheckBatchCost: could not look up user {user_id} for batch {batch_id}: {e}")
             return {}
 
-    async def _get_key_attribution(self, batch_id: str, api_key: str | None) -> tuple[str | None, str | None]:
-        """Resolve the creating virtual key's (alias, org_id) from its hashed token."""
+    async def _get_key_alias(self, batch_id: str, api_key: str | None) -> str | None:
+        """Resolve the creating virtual key's alias from its hashed token."""
         if not api_key:
-            return None, None
+            return None
         try:
             key_row: prisma_models.LiteLLM_VerificationToken | None = (
                 await self.prisma_client.db.litellm_verificationtoken.find_unique(
                     where={"token": api_key}
                 )
             )
-            if key_row is None:
-                return None, None
-            return getattr(key_row, "key_alias", None), getattr(key_row, "org_id", None)
+            return getattr(key_row, "key_alias", None) if key_row is not None else None
         except Exception as e:
             verbose_proxy_logger.error(f"CheckBatchCost: could not look up key alias for batch {batch_id}: {e}")
-            return None, None
+            return None
 
-    async def _get_team_attribution(self, team_id: str | None) -> tuple[str | None, str | None]:
-        """Resolve a team's (alias, organization_id) from its id."""
+    async def _get_team_alias(self, team_id: str | None) -> str | None:
+        """Resolve a team's alias from its id."""
         if not team_id:
-            return None, None
+            return None
         try:
             team_row: prisma_models.LiteLLM_TeamTable | None = (
                 await self.prisma_client.db.litellm_teamtable.find_unique(
                     where={"team_id": team_id}
                 )
             )
-            if team_row is None:
-                return None, None
-            return getattr(team_row, "team_alias", None), getattr(team_row, "organization_id", None)
+            return getattr(team_row, "team_alias", None) if team_row is not None else None
         except Exception as e:
             verbose_proxy_logger.error(f"CheckBatchCost: could not look up team alias for team {team_id}: {e}")
-            return None, None
+            return None
+
+    async def _get_org_id(self, job: "LiteLLM_ManagedObjectTable", batch_id: str) -> str | None:
+        """Organization to bill the batch against, snapshotted on the row at creation
+        like team_id. Rows created before the org_id column existed carry None, so they
+        fall back to the creating key's org (or its team's) as resolved today."""
+        org_id = getattr(job, "org_id", None)
+        if org_id:
+            return org_id
+        api_key = getattr(job, "api_key", None)
+        team_id = getattr(job, "team_id", None)
+        try:
+            if api_key:
+                key_row: prisma_models.LiteLLM_VerificationToken | None = (
+                    await self.prisma_client.db.litellm_verificationtoken.find_unique(
+                        where={"token": api_key}
+                    )
+                )
+                key_org_id = getattr(key_row, "org_id", None) if key_row is not None else None
+                if key_org_id:
+                    return key_org_id
+            if team_id:
+                team_row: prisma_models.LiteLLM_TeamTable | None = (
+                    await self.prisma_client.db.litellm_teamtable.find_unique(
+                        where={"team_id": team_id}
+                    )
+                )
+                return getattr(team_row, "organization_id", None) if team_row is not None else None
+            return None
+        except Exception as e:
+            verbose_proxy_logger.error(f"CheckBatchCost: could not resolve org for batch {batch_id}: {e}")
+            return None
 
     async def _build_creator_attribution_metadata(
         self, job: "LiteLLM_ManagedObjectTable", batch_id: str
@@ -173,13 +200,13 @@ class CheckBatchCost:
             **(await self._get_user_info(batch_id, job.created_by)),
         }
 
-        key_alias, key_org_id = await self._get_key_attribution(batch_id, api_key)
+        key_alias = await self._get_key_alias(batch_id, api_key)
         if key_alias is not None:
             metadata["user_api_key_alias"] = key_alias
-        team_alias, team_org_id = await self._get_team_attribution(team_id)
+        team_alias = await self._get_team_alias(team_id)
         if team_alias is not None:
             metadata["user_api_key_team_alias"] = team_alias
-        org_id: Final = key_org_id or team_org_id
+        org_id: Final = await self._get_org_id(job, batch_id)
         if org_id is not None:
             metadata["user_api_key_org_id"] = org_id
         if isinstance(request_tags, list) and request_tags:
diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
index 5cfcf6129f0..4f0ca787280 100644
--- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
+++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
@@ -349,6 +349,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                     "file_purpose": file_purpose,
                     "created_by": resolve_resource_owner_id(user_api_key_dict),
                     "team_id": user_api_key_dict.team_id,
+                    "org_id": user_api_key_dict.org_id,
                     "updated_by": user_api_key_dict.user_id,
                     "status": file_object.status,
                     **attribution_columns,
diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260903230000_add_org_id_to_managed_object_table/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260903230000_add_org_id_to_managed_object_table/migration.sql
new file mode 100644
index 00000000000..bbe980bb66f
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260903230000_add_org_id_to_managed_object_table/migration.sql
@@ -0,0 +1,4 @@
+-- Add org_id column to LiteLLM_ManagedObjectTable
+-- Snapshots the creating key's organization at submission time, like team_id,
+-- so CheckBatchCost can bill organization spend hours later without re-resolving
+ALTER TABLE "LiteLLM_ManagedObjectTable" ADD COLUMN IF NOT EXISTS "org_id" TEXT;
diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
index 7604ceadf7a..e386446d5bd 100644
--- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
+++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
@@ -1034,6 +1034,7 @@ model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use t
   created_at DateTime @default(now())
   created_by String?
   team_id String?
+  org_id String? // creating key's organization at submission time; CheckBatchCost bills org spend against it
   api_key String?
   request_tags Json? @default("[]")
   updated_at DateTime @updatedAt
diff --git a/litellm/models/managed_files.py b/litellm/models/managed_files.py
index 23d70ef5c48..c90f9b535ea 100644
--- a/litellm/models/managed_files.py
+++ b/litellm/models/managed_files.py
@@ -32,6 +32,7 @@ class LiteLLM_ManagedObjectTable(LiteLLMPydanticObjectBase):
     file_object: LiteLLMBatch | LiteLLMFineTuningJob | ResponsesAPIResponse
     created_by: str | None = None
     team_id: str | None = None
+    org_id: str | None = None
 
 
 class LiteLLM_ManagedVectorStoreTable(LiteLLMPydanticObjectBase):
diff --git a/schema.prisma b/schema.prisma
index 7604ceadf7a..e386446d5bd 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -1034,6 +1034,7 @@ model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use t
   created_at DateTime @default(now())
   created_by String?
   team_id String?
+  org_id String? // creating key's organization at submission time; CheckBatchCost bills org spend against it
   api_key String?
   request_tags Json? @default("[]")
   updated_at DateTime @updatedAt
diff --git a/tests/proxy_unit_tests/test_check_batch_cost.py b/tests/proxy_unit_tests/test_check_batch_cost.py
index 9ee0a36f00b..92b946e19b1 100644
--- a/tests/proxy_unit_tests/test_check_batch_cost.py
+++ b/tests/proxy_unit_tests/test_check_batch_cost.py
@@ -2553,10 +2553,27 @@ class TestBatchCostAttribution:
 
         assert metadata["user_api_key_alias"] == "prod-key"
 
+    @pytest.mark.asyncio
+    async def test_org_id_snapshotted_on_the_row_wins(self):
+        """The org_id column captures the creating key's organization at submission time,
+        like team_id, so a key later moved to another org still bills the original one."""
+        from types import SimpleNamespace
+
+        instance = self._instance(
+            key_row=SimpleNamespace(key_alias="prod-key", org_id="org-moved-to"),
+            team_row=SimpleNamespace(team_alias="Team Alpha", organization_id="org-team"),
+        )
+
+        metadata = await instance._build_creator_attribution_metadata(
+            self._job(org_id="org-at-creation"), "batch-1"
+        )
+
+        assert metadata["user_api_key_org_id"] == "org-at-creation"
+
     @pytest.mark.asyncio
     async def test_org_id_comes_from_the_creating_key(self):
-        """The spend update writer increments organization spend from user_api_key_org_id,
-        so an org-scoped key's batch cost must carry the key's org id."""
+        """The spend update writer increments organization spend from user_api_key_org_id.
+        A legacy row without the org_id column falls back to the creating key's org."""
         from types import SimpleNamespace
 
         instance = self._instance(
diff --git a/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py b/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
index ebd33aa2e53..63884e0a779 100644
--- a/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
+++ b/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
@@ -390,7 +390,7 @@ async def test_store_unified_object_id_persists_key_and_tags_on_create():
     """Regression (spend loss): the batch create persists the creating key hash and tags so
     CheckBatchCost can write an attributed spend row instead of a blank one the DB drops."""
     instance, store = _in_memory_managed_files()
-    creator = UserAPIKeyAuth(user_id="alice", team_id="team-alpha", api_key="hash-alice")
+    creator = UserAPIKeyAuth(user_id="alice", team_id="team-alpha", api_key="hash-alice", org_id="org-acme")
 
     await instance.store_unified_object_id(
         unified_object_id="unified-b",
@@ -407,6 +407,7 @@ async def test_store_unified_object_id_persists_key_and_tags_on_create():
     assert row["api_key"] == "hash-alice"
     assert row["created_by"] == "alice"
     assert row["team_id"] == "team-alpha"
+    assert row["org_id"] == "org-acme"
     assert row["request_tags"].data == ["env:prod"]
 
 
@@ -471,6 +472,7 @@ async def test_store_unified_object_id_attribution_columns_are_write_once():
     upsert_data = instance.prisma_client.db.litellm_managedobjecttable.upsert.call_args.kwargs["data"]
     assert "api_key" not in upsert_data["update"]
     assert "request_tags" not in upsert_data["update"]
+    assert "org_id" not in upsert_data["update"]
 
 
 @pytest.mark.asyncio

From 9859d1e64ca1e6930d2f3e440a51222e834c7a5f Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 3 Sep 2026 22:36:28 +0000
Subject: [PATCH 032/223] chore: sync schema.prisma copies from root

---
 litellm/proxy/schema.prisma | 1 +
 1 file changed, 1 insertion(+)

diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma
index 7604ceadf7a..e386446d5bd 100644
--- a/litellm/proxy/schema.prisma
+++ b/litellm/proxy/schema.prisma
@@ -1034,6 +1034,7 @@ model LiteLLM_ManagedObjectTable { // for batches or finetuning jobs which use t
   created_at DateTime @default(now())
   created_by String?
   team_id String?
+  org_id String? // creating key's organization at submission time; CheckBatchCost bills org spend against it
   api_key String?
   request_tags Json? @default("[]")
   updated_at DateTime @updatedAt

From 0d7976116eff0a9090f846e0066067bd867e67fb Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Thu, 3 Sep 2026 18:51:18 -0400
Subject: [PATCH 033/223] fix(batches): resolve team-scoped keys' org at
 creation for the snapshot

---
 .../proxy/hooks/managed_files.py              | 20 +++++++++++++-
 ..._batch_update_db_managed_output_file_id.py | 27 +++++++++++++++++++
 2 files changed, 46 insertions(+), 1 deletion(-)

diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
index 4f0ca787280..2ed446ca44e 100644
--- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
+++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
@@ -277,6 +277,24 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         )
         verbose_logger.debug(f"LiteLLM Managed File object with id={file_id} stored in db: {result}")
 
+    async def _resolve_creator_org_id(self, user_api_key_dict: UserAPIKeyAuth) -> Optional[str]:
+        """Organization to snapshot on the managed object row, like team_id. A key that
+        belongs to an org only through its team carries no org_id on the auth object, so
+        resolve the team's organization at creation time; costing then bills the org the
+        batch was submitted under even if the key or team moves before it completes."""
+        if user_api_key_dict.org_id:
+            return user_api_key_dict.org_id
+        if not user_api_key_dict.team_id:
+            return None
+        try:
+            team_row = await self.prisma_client.db.litellm_teamtable.find_unique(
+                where={"team_id": user_api_key_dict.team_id}
+            )
+            return getattr(team_row, "organization_id", None) if team_row is not None else None
+        except Exception as e:
+            verbose_logger.warning(f"could not resolve org for managed object attribution: {e}")
+            return None
+
     async def store_unified_object_id(
         self,
         unified_object_id: str,
@@ -349,7 +367,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                     "file_purpose": file_purpose,
                     "created_by": resolve_resource_owner_id(user_api_key_dict),
                     "team_id": user_api_key_dict.team_id,
-                    "org_id": user_api_key_dict.org_id,
+                    "org_id": await self._resolve_creator_org_id(user_api_key_dict),
                     "updated_by": user_api_key_dict.user_id,
                     "status": file_object.status,
                     **attribution_columns,
diff --git a/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py b/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
index 63884e0a779..b5865ab4a13 100644
--- a/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
+++ b/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
@@ -375,6 +375,7 @@ def _in_memory_managed_files():
     table.upsert = AsyncMock(side_effect=_upsert)
     prisma = MagicMock()
     prisma.db.litellm_managedobjecttable = table
+    prisma.db.litellm_teamtable.find_unique = AsyncMock(return_value=None)
 
     cache = MagicMock()
     cache.async_set_cache = AsyncMock()
@@ -411,6 +412,32 @@ async def test_store_unified_object_id_persists_key_and_tags_on_create():
     assert row["request_tags"].data == ["env:prod"]
 
 
+@pytest.mark.asyncio
+async def test_store_unified_object_id_resolves_org_through_the_team():
+    """Most keys belong to an org only through their team, so the auth object carries no
+    org_id. The create resolves the team's organization so org spend is snapshotted at
+    submission time instead of never being billed."""
+    from types import SimpleNamespace
+
+    instance, store = _in_memory_managed_files()
+    instance.prisma_client.db.litellm_teamtable.find_unique = AsyncMock(
+        return_value=SimpleNamespace(organization_id="org-via-team")
+    )
+    creator = UserAPIKeyAuth(user_id="alice", team_id="team-alpha", api_key="hash-alice")
+
+    await instance.store_unified_object_id(
+        unified_object_id="unified-b",
+        file_object=_build_batch_response(batch_id="b", status="validating"),
+        litellm_parent_otel_span=None,
+        model_object_id="b",
+        file_purpose="batch",
+        user_api_key_dict=creator,
+        persist_attribution=True,
+    )
+
+    assert store["unified-b"]["org_id"] == "org-via-team"
+
+
 @pytest.mark.asyncio
 async def test_store_unified_object_id_omits_key_and_tags_without_persist_attribution():
     """Regression (spend redirect): a caller that is not the batch create (a poll, or the

From 35371a34c1c873a0afafe9dffc1873fcee42928e Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Thu, 3 Sep 2026 19:09:45 -0400
Subject: [PATCH 034/223] fix(batches): keep team org attribution when the key
 lookup fails

---
 .../proxy/common_utils/check_batch_cost.py    | 24 ++++++++++++-------
 .../proxy_unit_tests/test_check_batch_cost.py | 17 +++++++++++++
 2 files changed, 32 insertions(+), 9 deletions(-)

diff --git a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
index 595a8d04bed..bd7f3c93ff3 100644
--- a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
+++ b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
@@ -151,8 +151,8 @@ class CheckBatchCost:
             return org_id
         api_key = getattr(job, "api_key", None)
         team_id = getattr(job, "team_id", None)
-        try:
-            if api_key:
+        if api_key:
+            try:
                 key_row: prisma_models.LiteLLM_VerificationToken | None = (
                     await self.prisma_client.db.litellm_verificationtoken.find_unique(
                         where={"token": api_key}
@@ -161,16 +161,22 @@ class CheckBatchCost:
                 key_org_id = getattr(key_row, "org_id", None) if key_row is not None else None
                 if key_org_id:
                     return key_org_id
-            if team_id:
-                team_row: prisma_models.LiteLLM_TeamTable | None = (
-                    await self.prisma_client.db.litellm_teamtable.find_unique(
-                        where={"team_id": team_id}
-                    )
+            except Exception as e:
+                verbose_proxy_logger.error(
+                    f"CheckBatchCost: could not resolve the key's org for batch {batch_id}, "
+                    f"still trying the team's: {e}"
                 )
-                return getattr(team_row, "organization_id", None) if team_row is not None else None
+        if not team_id:
             return None
+        try:
+            team_row: prisma_models.LiteLLM_TeamTable | None = (
+                await self.prisma_client.db.litellm_teamtable.find_unique(
+                    where={"team_id": team_id}
+                )
+            )
+            return getattr(team_row, "organization_id", None) if team_row is not None else None
         except Exception as e:
-            verbose_proxy_logger.error(f"CheckBatchCost: could not resolve org for batch {batch_id}: {e}")
+            verbose_proxy_logger.error(f"CheckBatchCost: could not resolve the team's org for batch {batch_id}: {e}")
             return None
 
     async def _build_creator_attribution_metadata(
diff --git a/tests/proxy_unit_tests/test_check_batch_cost.py b/tests/proxy_unit_tests/test_check_batch_cost.py
index 92b946e19b1..59dfb67c486 100644
--- a/tests/proxy_unit_tests/test_check_batch_cost.py
+++ b/tests/proxy_unit_tests/test_check_batch_cost.py
@@ -2600,6 +2600,23 @@ class TestBatchCostAttribution:
 
         assert metadata["user_api_key_org_id"] == "org-team"
 
+    @pytest.mark.asyncio
+    async def test_key_lookup_failure_still_bills_the_team_org(self):
+        """A key-table error while resolving a legacy row's org must not drop the team's
+        organization: the two lookups fail independently, so org spend still lands."""
+        from types import SimpleNamespace
+
+        instance = self._instance(
+            team_row=SimpleNamespace(team_alias="Team Alpha", organization_id="org-team"),
+        )
+        instance.prisma_client.db.litellm_verificationtoken.find_unique = AsyncMock(
+            side_effect=Exception("db down")
+        )
+
+        metadata = await instance._build_creator_attribution_metadata(self._job(), "batch-1")
+
+        assert metadata["user_api_key_org_id"] == "org-team"
+
     @pytest.mark.asyncio
     async def test_no_org_leaves_the_key_unset(self):
         """Without any org the key is absent entirely, so the spend writer's org update

From 8debf8294cbe5e8d66d470b8dda1254668aa65df Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Fri, 4 Sep 2026 12:42:39 -0700
Subject: [PATCH 035/223] fix(batches): resolve a legacy row's org from the
 key's organization_id and keep the Batch label on grouped rows

---
 .../proxy/common_utils/check_batch_cost.py          |  2 +-
 tests/proxy_unit_tests/test_check_batch_cost.py     |  8 ++++----
 .../view_logs/RequestLogsTableColumns.test.tsx      | 13 +++++++++++++
 .../view_logs/RequestLogsTableColumns.tsx           |  2 +-
 .../src/components/view_logs/TypeBadges.test.tsx    |  7 +------
 .../src/components/view_logs/TypeBadges.tsx         |  4 ++--
 6 files changed, 22 insertions(+), 14 deletions(-)

diff --git a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
index ce80ba6493f..6b3ccfd3694 100644
--- a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
+++ b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
@@ -158,7 +158,7 @@ class CheckBatchCost:
                         where={"token": api_key}
                     )
                 )
-                key_org_id = getattr(key_row, "org_id", None) if key_row is not None else None
+                key_org_id = getattr(key_row, "organization_id", None) if key_row is not None else None
                 if key_org_id:
                     return key_org_id
             except Exception as e:
diff --git a/tests/proxy_unit_tests/test_check_batch_cost.py b/tests/proxy_unit_tests/test_check_batch_cost.py
index 9ce91a8aee4..f9fb782b052 100644
--- a/tests/proxy_unit_tests/test_check_batch_cost.py
+++ b/tests/proxy_unit_tests/test_check_batch_cost.py
@@ -2561,7 +2561,7 @@ class TestBatchCostAttribution:
         from types import SimpleNamespace
 
         instance = self._instance(
-            key_row=SimpleNamespace(key_alias="prod-key", org_id="org-moved-to"),
+            key_row=SimpleNamespace(key_alias="prod-key", organization_id="org-moved-to"),
             team_row=SimpleNamespace(team_alias="Team Alpha", organization_id="org-team"),
         )
 
@@ -2578,7 +2578,7 @@ class TestBatchCostAttribution:
         from types import SimpleNamespace
 
         instance = self._instance(
-            key_row=SimpleNamespace(key_alias="prod-key", org_id="org-42"),
+            key_row=SimpleNamespace(key_alias="prod-key", organization_id="org-42"),
             team_row=SimpleNamespace(team_alias="Team Alpha", organization_id="org-team"),
         )
 
@@ -2593,7 +2593,7 @@ class TestBatchCostAttribution:
         from types import SimpleNamespace
 
         instance = self._instance(
-            key_row=SimpleNamespace(key_alias="prod-key", org_id=None),
+            key_row=SimpleNamespace(key_alias="prod-key", organization_id=None),
             team_row=SimpleNamespace(team_alias="Team Alpha", organization_id="org-team"),
         )
 
@@ -2625,7 +2625,7 @@ class TestBatchCostAttribution:
         from types import SimpleNamespace
 
         instance = self._instance(
-            key_row=SimpleNamespace(key_alias="prod-key", org_id=None),
+            key_row=SimpleNamespace(key_alias="prod-key", organization_id=None),
             team_row=SimpleNamespace(team_alias="Team Alpha", organization_id=None),
         )
 
diff --git a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.test.tsx b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.test.tsx
index 3e8e522afe1..9f0e659cb1f 100644
--- a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.test.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.test.tsx
@@ -141,6 +141,19 @@ describe("Type column", () => {
     expect(screen.getByText("Batch")).toBeInTheDocument();
     expect(screen.queryByText("LLM")).not.toBeInTheDocument();
   });
+
+  it("keeps the Batch label on the grouped create-plus-cost session instead of a row count", () => {
+    const groupedCostRow: Partial<LogEntry> = {
+      request_id: "batch_1_batch_cost",
+      call_type: "aretrieve_batch",
+      session_id: "batch_1",
+      session_total_count: 2,
+    };
+    renderRows([logEntry(groupedCostRow)]);
+
+    expect(screen.getByText("Batch")).toBeInTheDocument();
+    expect(screen.queryByText("2")).not.toBeInTheDocument();
+  });
 });
 
 describe("batch rows", () => {
diff --git a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
index a444acb9517..1ec1087a1a4 100644
--- a/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/RequestLogsTableColumns.tsx
@@ -65,7 +65,7 @@ export const getRequestLogsTableColumns = ({
       const sessionMcpCount = log.mcp_tool_call_count ?? (isMcp ? sessionCount : 0);
 
       if (isBatchCallType(log.call_type)) {
-        return <BatchBadge count={sessionCount > 1 ? sessionCount : undefined} />;
+        return <BatchBadge />;
       }
       if (sessionCount <= 1) {
         if (isMcp) return <McpBadge />;
diff --git a/ui/litellm-dashboard/src/components/view_logs/TypeBadges.test.tsx b/ui/litellm-dashboard/src/components/view_logs/TypeBadges.test.tsx
index 8a964ea2124..9a3b53685ca 100644
--- a/ui/litellm-dashboard/src/components/view_logs/TypeBadges.test.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/TypeBadges.test.tsx
@@ -45,14 +45,9 @@ describe("TypeBadges", () => {
   });
 
   describe("BatchBadge", () => {
-    it("should render with default 'Batch' text when no count is provided", () => {
+    it("should render 'Batch'", () => {
       render(<BatchBadge />);
       expect(screen.getByText("Batch")).toBeInTheDocument();
     });
-
-    it("should render the count when provided", () => {
-      render(<BatchBadge count={4} />);
-      expect(screen.getByText("4")).toBeInTheDocument();
-    });
   });
 });
diff --git a/ui/litellm-dashboard/src/components/view_logs/TypeBadges.tsx b/ui/litellm-dashboard/src/components/view_logs/TypeBadges.tsx
index 84079848487..db64bfbbe73 100644
--- a/ui/litellm-dashboard/src/components/view_logs/TypeBadges.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/TypeBadges.tsx
@@ -97,9 +97,9 @@ export const AgentBadge = ({ count }: { count?: number }) => (
   </span>
 );
 
-export const BatchBadge = ({ count }: { count?: number }) => (
+export const BatchBadge = () => (
   <span className="inline-flex items-center gap-1 px-2 py-0.5 bg-teal-50 text-teal-700 border border-teal-200 rounded-full text-[11px] font-medium whitespace-nowrap dark:bg-teal-950 dark:text-teal-300 dark:border-teal-800">
     <LayersIcon />
-    {count != null ? count : "Batch"}
+    Batch
   </span>
 );

From 217cb7da653e025f7c6d10eaae8e291b826fd76f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Fri, 4 Sep 2026 20:30:33 -0700
Subject: [PATCH 036/223] fix(managed_files): resolve the creator org through
 the cached team lookup

Batch creation snapshotted the team's organization with a direct
litellm_teamtable query on every create. Go through get_team_object
instead, which serves the team auth already cached and only falls back
to the database when the team was never cached.
---
 .../proxy/hooks/managed_files.py              | 13 +++-
 ..._batch_update_db_managed_output_file_id.py | 68 ++++++++++++++-----
 2 files changed, 61 insertions(+), 20 deletions(-)

diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
index 850e5aadf0e..68782c5516d 100644
--- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
+++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
@@ -288,11 +288,18 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             return user_api_key_dict.org_id
         if not user_api_key_dict.team_id:
             return None
+        from litellm.proxy.auth.auth_checks import get_team_object
+        from litellm.proxy.proxy_server import proxy_logging_obj, user_api_key_cache
+
         try:
-            team_row = await self.prisma_client.db.litellm_teamtable.find_unique(
-                where={"team_id": user_api_key_dict.team_id}
+            team: Final = await get_team_object(
+                team_id=user_api_key_dict.team_id,
+                prisma_client=self.prisma_client,
+                user_api_key_cache=user_api_key_cache,
+                parent_otel_span=user_api_key_dict.parent_otel_span,
+                proxy_logging_obj=proxy_logging_obj,
             )
-            return getattr(team_row, "organization_id", None) if team_row is not None else None
+            return team.organization_id
         except Exception as e:
             verbose_logger.warning(f"could not resolve org for managed object attribution: {e}")
             return None
diff --git a/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py b/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
index b5865ab4a13..d3e668b8987 100644
--- a/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
+++ b/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py
@@ -413,29 +413,63 @@ async def test_store_unified_object_id_persists_key_and_tags_on_create():
 
 
 @pytest.mark.asyncio
-async def test_store_unified_object_id_resolves_org_through_the_team():
+async def test_store_unified_object_id_resolves_org_through_the_cached_team():
     """Most keys belong to an org only through their team, so the auth object carries no
-    org_id. The create resolves the team's organization so org spend is snapshotted at
-    submission time instead of never being billed."""
-    from types import SimpleNamespace
+    org_id. The create reads the team that auth already cached, so org spend is snapshotted
+    at submission time without a database query in the request path."""
+    from litellm.models.team import LiteLLM_TeamTableCachedObj
+    from litellm.proxy.proxy_server import user_api_key_cache
+
+    instance, store = _in_memory_managed_files()
+    creator = UserAPIKeyAuth(user_id="alice", team_id="team-cached", api_key="hash-alice")
+    await user_api_key_cache.async_set_cache(
+        key="team_id:team-cached",
+        value=LiteLLM_TeamTableCachedObj(team_id="team-cached", organization_id="org-via-team"),
+        model_type=LiteLLM_TeamTableCachedObj,
+    )
+    try:
+        await instance.store_unified_object_id(
+            unified_object_id="unified-b",
+            file_object=_build_batch_response(batch_id="b", status="validating"),
+            litellm_parent_otel_span=None,
+            model_object_id="b",
+            file_purpose="batch",
+            user_api_key_dict=creator,
+            persist_attribution=True,
+        )
+    finally:
+        user_api_key_cache.delete_cache(key="team_id:team-cached")
+
+    assert store["unified-b"]["org_id"] == "org-via-team"
+    instance.prisma_client.db.litellm_teamtable.find_unique.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_store_unified_object_id_resolves_org_from_the_db_when_the_team_is_not_cached():
+    """A team no request has run under yet is absent from the auth cache; its organization
+    still comes back from the table so the org is billed rather than dropped."""
+    from litellm.models.team import LiteLLM_TeamTable
+    from litellm.proxy.proxy_server import user_api_key_cache
 
     instance, store = _in_memory_managed_files()
     instance.prisma_client.db.litellm_teamtable.find_unique = AsyncMock(
-        return_value=SimpleNamespace(organization_id="org-via-team")
+        return_value=LiteLLM_TeamTable(team_id="team-uncached", organization_id="org-via-db")
     )
-    creator = UserAPIKeyAuth(user_id="alice", team_id="team-alpha", api_key="hash-alice")
+    creator = UserAPIKeyAuth(user_id="alice", team_id="team-uncached", api_key="hash-alice")
+    try:
+        await instance.store_unified_object_id(
+            unified_object_id="unified-b",
+            file_object=_build_batch_response(batch_id="b", status="validating"),
+            litellm_parent_otel_span=None,
+            model_object_id="b",
+            file_purpose="batch",
+            user_api_key_dict=creator,
+            persist_attribution=True,
+        )
+    finally:
+        user_api_key_cache.delete_cache(key="team_id:team-uncached")
 
-    await instance.store_unified_object_id(
-        unified_object_id="unified-b",
-        file_object=_build_batch_response(batch_id="b", status="validating"),
-        litellm_parent_otel_span=None,
-        model_object_id="b",
-        file_purpose="batch",
-        user_api_key_dict=creator,
-        persist_attribution=True,
-    )
-
-    assert store["unified-b"]["org_id"] == "org-via-team"
+    assert store["unified-b"]["org_id"] == "org-via-db"
 
 
 @pytest.mark.asyncio

From 814c151b02b41e4fb333f4f505203d7db7c4343a Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 5 Sep 2026 01:35:09 -0700
Subject: [PATCH 037/223] fix(batches): mask api base credentials on batch cost
 rows

---
 .../proxy/common_utils/check_batch_cost.py    |  4 +-
 litellm/litellm_core_utils/litellm_logging.py | 16 ++--
 .../proxy_unit_tests/test_check_batch_cost.py | 84 +++++++++++++++++++
 3 files changed, 94 insertions(+), 10 deletions(-)

diff --git a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
index 6b3ccfd3694..64a86387c39 100644
--- a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
+++ b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
@@ -685,7 +685,7 @@ class CheckBatchCost:
         from litellm.files.main import afile_content
         from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
         from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
-        from litellm.litellm_core_utils.litellm_logging import deployment_pricing_model_info
+        from litellm.litellm_core_utils.litellm_logging import deployment_pricing_model_info, mask_api_base_credentials
         from litellm.proxy.openai_files_endpoints.common_utils import (
             _is_base64_encoded_unified_file_id,
         )
@@ -858,7 +858,7 @@ class CheckBatchCost:
                         "user-agent": CHECK_BATCH_COST_USER_AGENT,
                     }
                 },
-                **({"api_base": deployment_api_base} if deployment_api_base else {}),
+                **({"api_base": mask_api_base_credentials(deployment_api_base)} if deployment_api_base else {}),
                 "metadata": {
                     **(await self._build_creator_attribution_metadata(job, batch_id)),
                     # spend logs read the deployment identity off these metadata keys, so
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 73c06b891fb..7e800139228 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -419,6 +419,13 @@ def _provider_response_id(source: object) -> str | None:
     return candidate if isinstance(candidate, str) and candidate else None
 
 
+def mask_api_base_credentials(api_base: str) -> str:
+    if "key=" not in api_base:
+        return api_base
+    key_end: Final = api_base.find("key=") + 4
+    return api_base[:key_end] + "*" * 5 + api_base[-4:]
+
+
 class Logging(LiteLLMLoggingBaseClass):
     global \
         supabaseClient, \
@@ -1160,14 +1167,7 @@ class Logging(LiteLLMLoggingBaseClass):
         return data
 
     def _get_masked_api_base(self, api_base: str) -> str:
-        if "key=" in api_base:
-            # Find the position of "key=" in the string
-            key_index: Final = api_base.find("key=") + 4
-            # Mask the last 5 characters after "key="
-            masked_api_base = api_base[:key_index] + "*" * 5 + api_base[-4:]
-        else:
-            masked_api_base = api_base
-        return str(masked_api_base)
+        return str(mask_api_base_credentials(api_base))
 
     def _pre_call(self, input, api_key, model=None, additional_args={}):
         """
diff --git a/tests/proxy_unit_tests/test_check_batch_cost.py b/tests/proxy_unit_tests/test_check_batch_cost.py
index f9fb782b052..36177b44930 100644
--- a/tests/proxy_unit_tests/test_check_batch_cost.py
+++ b/tests/proxy_unit_tests/test_check_batch_cost.py
@@ -583,6 +583,90 @@ class TestCheckBatchCost:
         assert passed_model_info["input_cost_per_token_batches"] == 2e-06
         assert passed_model_info["output_cost_per_token_batches"] == 4e-06
 
+    @pytest.mark.asyncio
+    async def test_poller_masks_api_base_credentials_before_logging(
+        self, check_batch_cost_instance, mock_prisma_client, mock_llm_router
+    ):
+        """Request rows mask `key=` query credentials out of api_base before it is
+        logged, but the poller skips that pre-call step, so an unmasked deployment
+        api_base would land verbatim on the batch cost row: regression test for the
+        poller masking the same way.
+        """
+        import base64
+        from unittest.mock import patch
+
+        import httpx
+        import respx
+
+        from litellm.litellm_core_utils.litellm_logging import Logging
+
+        mock_prisma_client.db.litellm_managedobjecttable.update_many = AsyncMock(return_value=1)
+        mock_prisma_client.db.litellm_managedobjecttable.update = AsyncMock()
+        mock_prisma_client.db.litellm_usertable.find_unique = AsyncMock(return_value=None)
+
+        mock_job = MagicMock()
+        mock_job.id = "job-masked-api-base-1"
+        mock_job.unified_object_id = base64.urlsafe_b64encode(
+            b"litellm_proxy;model_id:model-123;llm_batch_id:batch-456"
+        ).decode()
+        mock_job.created_by = "user-1"
+        mock_prisma_client.db.litellm_managedobjecttable.find_many = AsyncMock(return_value=[mock_job])
+
+        mock_response = MagicMock()
+        mock_response.status = "completed"
+        mock_response.output_file_id = "file-output-123"
+        mock_response.error_file_id = None
+        mock_response.model_dump_json.return_value = '{"id":"batch-1","status":"completed"}'
+        mock_llm_router.aretrieve_batch = AsyncMock(return_value=mock_response)
+        mock_llm_router.get_deployment_credentials_with_provider = MagicMock(return_value={"api_key": "sk-test"})
+
+        mock_deployment = MagicMock()
+        mock_deployment.litellm_params.custom_llm_provider = "openai"
+        mock_deployment.litellm_params.model = "gpt-5.4-mini"
+        mock_deployment.litellm_params.api_base = "https://gateway.example.com/v1?key=AIzaSyVERYSECRET7890"
+        mock_deployment.model_info.model_dump.return_value = {}
+        mock_llm_router.get_deployment = MagicMock(return_value=mock_deployment)
+
+        output_line = json.dumps(
+            {
+                "custom_id": "req-1",
+                "response": {
+                    "status_code": 200,
+                    "body": {
+                        "id": "chatcmpl-1",
+                        "object": "chat.completion",
+                        "model": "gpt-5.4-mini",
+                        "choices": [
+                            {
+                                "index": 0,
+                                "message": {"role": "assistant", "content": "hi"},
+                                "finish_reason": "stop",
+                            }
+                        ],
+                        "usage": {"prompt_tokens": 10, "completion_tokens": 5, "total_tokens": 15},
+                    },
+                },
+                "error": None,
+            }
+        )
+
+        with (
+            respx.mock(assert_all_called=True) as provider,
+            patch.object(  # test-quality-ok: the poller builds Logging inline, the only seam to the row it logs
+                Logging, "async_success_handler", autospec=True
+            ) as success_handler,
+        ):
+            provider.get("https://api.openai.com/v1/files/file-output-123/content").mock(
+                return_value=httpx.Response(200, content=f"{output_line}\n".encode())
+            )
+            await check_batch_cost_instance.check_batch_cost()
+
+        cost_row_calls = [call for call in success_handler.await_args_list if "batch_cost" in call.kwargs]
+        assert len(cost_row_calls) == 1
+        logged_api_base = cost_row_calls[0].args[0].litellm_params["api_base"]
+        assert logged_api_base == "https://gateway.example.com/v1?key=*****7890"
+        assert "VERYSECRET" not in logged_api_base
+
     @pytest.mark.asyncio
     async def test_primary_path_completion_update_includes_batch_processed(
         self, check_batch_cost_instance, mock_prisma_client, mock_llm_router

From 95d721ffe60e6fa8409e2ff3e57ab9a85093fcc7 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Sat, 5 Sep 2026 02:06:40 -0700
Subject: [PATCH 038/223] refactor(batches): drop docstrings restating the org
 fallbacks

---
 .../litellm_enterprise/proxy/common_utils/check_batch_cost.py | 3 ---
 enterprise/litellm_enterprise/proxy/hooks/managed_files.py    | 4 ----
 2 files changed, 7 deletions(-)

diff --git a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
index 64a86387c39..13e9e5093a8 100644
--- a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
+++ b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py
@@ -143,9 +143,6 @@ class CheckBatchCost:
             return None
 
     async def _get_org_id(self, job: "LiteLLM_ManagedObjectTable", batch_id: str) -> str | None:
-        """Organization to bill the batch against, snapshotted on the row at creation
-        like team_id. Rows created before the org_id column existed carry None, so they
-        fall back to the creating key's org (or its team's) as resolved today."""
         org_id = getattr(job, "org_id", None)
         if org_id:
             return org_id
diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
index 6474475f1bf..486904d0abe 100644
--- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
+++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
@@ -281,10 +281,6 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
         verbose_logger.debug(f"LiteLLM Managed File object with id={file_id} stored in db: {result}")
 
     async def _resolve_creator_org_id(self, user_api_key_dict: UserAPIKeyAuth) -> Optional[str]:
-        """Organization to snapshot on the managed object row, like team_id. A key that
-        belongs to an org only through its team carries no org_id on the auth object, so
-        resolve the team's organization at creation time; costing then bills the org the
-        batch was submitted under even if the key or team moves before it completes."""
         if user_api_key_dict.org_id:
             return user_api_key_dict.org_id
         if not user_api_key_dict.team_id:

From 7015bf37bb3830dab79b3efd886eee9b5b7ffad6 Mon Sep 17 00:00:00 2001
From: ryan-crabbe-berri <ryan@berri.ai>
Date: Sat, 5 Sep 2026 17:32:17 -0700
Subject: [PATCH 039/223] fix(proxy): apply team model aliases on the JWT auth
 path

Team reads on the auth path never loaded the team's alias table, and the
team-based JWT branch copied a hand-picked subset of team fields onto
UserAPIKeyAuth, so aliases (and a few other team grants) never reached JWT
callers: restricted teams 403'd alias requests and open teams 400'd them

Load the alias relation where the team row is read and cached, project the
team onto every team_* token field through one shared team_grants helper
used by both JWT returns, and keep the relation when team model add/delete
rewrites the cached team. ui_sso reuses the shared alias table model

Resolves LIT-5858

Claude-Session: https://claude.ai/code/session_01EX13mWex6RaBo9PYnkAtFW
---
 basedpyright-code-budget.json                 |   2 +-
 litellm/proxy/auth/auth_checks.py             |   9 +-
 litellm/proxy/auth/handle_jwt.py              |   5 +-
 litellm/proxy/auth/team_grants.py             | 122 +++++++++++++++++
 litellm/proxy/auth/user_api_key_auth.py       |  22 +--
 .../management_endpoints/team_endpoints.py    |   4 +-
 litellm/proxy/management_endpoints/ui_sso.py  |  23 +---
 .../proxy/auth/test_auth_checks.py            |  64 +++++++++
 .../proxy/auth/test_handle_jwt.py             |  52 +++++++
 .../proxy/auth/test_team_grants.py            | 129 ++++++++++++++++++
 .../proxy/auth/test_user_api_key_auth.py      | 116 ++++++++++++++++
 .../test_team_endpoints.py                    |  44 ++++++
 type-discipline-budget.json                   |   2 +-
 13 files changed, 547 insertions(+), 47 deletions(-)
 create mode 100644 litellm/proxy/auth/team_grants.py
 create mode 100644 tests/test_litellm/proxy/auth/test_team_grants.py

diff --git a/basedpyright-code-budget.json b/basedpyright-code-budget.json
index 0b0a61192e6..8bdc251c684 100644
--- a/basedpyright-code-budget.json
+++ b/basedpyright-code-budget.json
@@ -105,7 +105,7 @@
     "limit": 109
   },
   "reportUnknownMemberType": {
-    "limit": 38271
+    "limit": 38269
   },
   "reportUnknownParameterType": {
     "limit": 19584
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index dc693317de0..a71a1993064 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -475,6 +475,7 @@ def _is_model_cost_zero(model: str | list[str] | None, llm_router: Router | None
 
 
 _NO_MODEL_INFO: Final[Mapping[str, object]] = MappingProxyType({})
+_TEAM_GRANT_RELATIONS: Final[Mapping[str, object]] = MappingProxyType({"litellm_model_table": True})
 
 
 def _has_ptu_flat_cost(model: str, llm_router: "Router") -> bool:
@@ -2858,7 +2859,9 @@ class TeamNotFoundError(HTTPException):
 async def _get_team_db_check(
     team_id: str, prisma_client: PrismaClient, team_id_upsert: bool | None = None
 ) -> "_PrismaTeamRow | None":
-    response = await _team_table(TeamRepository(prisma_client)).find_unique(where={"team_id": team_id})
+    response = await _team_table(TeamRepository(prisma_client)).find_unique(
+        where={"team_id": team_id}, include=_TEAM_GRANT_RELATIONS
+    )
 
     if response is None and team_id_upsert:
         from litellm.proxy.management_endpoints.team_endpoints import new_team
@@ -3158,7 +3161,9 @@ async def get_team_object_by_alias(
 
     # Query database by team_alias
     try:
-        teams: Final = await _team_table(TeamRepository(prisma_client)).find_many(where={"team_alias": team_alias})
+        teams: Final = await _team_table(TeamRepository(prisma_client)).find_many(
+            where={"team_alias": team_alias}, include=_TEAM_GRANT_RELATIONS
+        )
 
         if not teams:
             raise HTTPException(
diff --git a/litellm/proxy/auth/handle_jwt.py b/litellm/proxy/auth/handle_jwt.py
index 0795cee7409..69091ee8344 100644
--- a/litellm/proxy/auth/handle_jwt.py
+++ b/litellm/proxy/auth/handle_jwt.py
@@ -53,6 +53,7 @@ from litellm.proxy._types import (
 )
 from litellm.proxy.auth.auth_checks import can_team_access_model
 from litellm.proxy.auth.route_checks import RouteChecks
+from litellm.proxy.auth.team_grants import team_model_aliases
 from litellm.proxy.common_utils.user_api_key_cache import (
     UserApiKeyCache,
     get_management_object_ttl,
@@ -1595,7 +1596,7 @@ class JWTAuthManager:
                             model=requested_model,
                             team_object=team_object,
                             llm_router=llm_router,
-                            team_model_aliases=None,
+                            team_model_aliases=team_model_aliases(team_object),
                         )
                     ):
                         is_allowed = allowed_routes_check(
@@ -2132,7 +2133,7 @@ class JWTAuthManager:
                         model=requested_model,
                         team_object=team_object,
                         llm_router=llm_router,
-                        team_model_aliases=None,
+                        team_model_aliases=team_model_aliases(team_object),
                     )
                 except ProxyException:
                     continue
diff --git a/litellm/proxy/auth/team_grants.py b/litellm/proxy/auth/team_grants.py
new file mode 100644
index 00000000000..1196011dcdd
--- /dev/null
+++ b/litellm/proxy/auth/team_grants.py
@@ -0,0 +1,122 @@
+"""Project a team row (plus the caller's membership in it) onto the ``team_*`` fields of ``UserAPIKeyAuth``.
+
+The virtual-key path gets these fields for free from the combined-view SQL join. Every other auth path
+starts from a ``LiteLLM_TeamTable`` object instead and has to copy them over by hand, which is how JWT
+callers kept losing grants (aliases, permissions, limits) one field at a time. Build the badge through
+``team_grants`` and the two paths cannot drift.
+"""
+
+from collections.abc import Mapping, Sequence
+from types import MappingProxyType
+from typing import Annotated, Final
+
+from pydantic import BaseModel, BeforeValidator, ConfigDict, TypeAdapter, ValidationError
+from pydantic.main import IncEx
+from typing_extensions import ReadOnly, TypedDict
+
+from litellm.proxy._types import (
+    LiteLLM_ObjectPermissionTable,
+    LiteLLM_TeamMembership,
+    LiteLLM_TeamTable,
+    Member,
+)
+
+_MODEL_ALIASES_ADAPTER: Final = TypeAdapter(dict[str, str])
+_JSON_COLUMNS: Final[Mapping[str, IncEx | bool]] = MappingProxyType(
+    {"metadata": True, "litellm_model_table": MappingProxyType({"model_aliases": True})}
+)
+
+
+def _decode_model_aliases(value: object) -> object:
+    """``LiteLLM_ModelTable.model_aliases`` is typed ``str | dict``; writers hand Prisma ``json.dumps(...)``, so take both."""
+    if not isinstance(value, str):
+        return value
+    try:
+        return _MODEL_ALIASES_ADAPTER.validate_json(value)
+    except ValidationError:
+        return None
+
+
+class TeamModelAliasTable(BaseModel):
+    model_config = ConfigDict(protected_namespaces=())
+
+    model_aliases: Annotated[Mapping[str, str] | None, BeforeValidator(_decode_model_aliases)] = None
+
+
+class _TeamJsonColumns(BaseModel):
+    """The two loosely typed columns on ``LiteLLM_TeamTable``, re-read with the shape the badge needs."""
+
+    metadata: Mapping[str, object] | None = None
+    litellm_model_table: TeamModelAliasTable | None = None
+
+
+class TeamGrants(TypedDict, total=False):
+    """Keyword arguments for ``UserAPIKeyAuth``. Empty when the caller has no team, so the model's own defaults apply."""
+
+    team_alias: ReadOnly[str | None]
+    team_tpm_limit: ReadOnly[int | None]
+    team_rpm_limit: ReadOnly[int | None]
+    team_max_budget: ReadOnly[float | None]
+    team_soft_budget: ReadOnly[float | None]
+    team_spend: ReadOnly[float | None]
+    team_models: ReadOnly[Sequence[str]]
+    team_blocked: ReadOnly[bool]
+    team_metadata: ReadOnly[Mapping[str, object] | None]
+    team_model_aliases: ReadOnly[Mapping[str, str] | None]
+    team_object_permission_id: ReadOnly[str | None]
+    team_object_permission: ReadOnly[LiteLLM_ObjectPermissionTable | None]
+    team_member: ReadOnly[Member | None]
+    team_member_spend: ReadOnly[float | None]
+    team_member_tpm_limit: ReadOnly[int | None]
+    team_member_rpm_limit: ReadOnly[int | None]
+
+
+def _json_columns(team_object: LiteLLM_TeamTable) -> _TeamJsonColumns:
+    try:
+        return _TeamJsonColumns.model_validate(team_object.model_dump(include=_JSON_COLUMNS))
+    except ValidationError:
+        return _TeamJsonColumns()
+
+
+def team_model_aliases(team_object: LiteLLM_TeamTable | None) -> Mapping[str, str] | None:
+    if team_object is None:
+        return None
+    alias_table: Final = _json_columns(team_object).litellm_model_table
+    return alias_table.model_aliases if alias_table is not None else None
+
+
+def team_grants(
+    team_object: LiteLLM_TeamTable | None,
+    team_membership: LiteLLM_TeamMembership | None,
+    user_id: str | None,
+) -> TeamGrants:
+    if team_object is None:
+        return TeamGrants()
+    json_columns: Final = _json_columns(team_object)
+    return TeamGrants(
+        team_alias=team_object.team_alias,
+        team_tpm_limit=team_object.tpm_limit,
+        team_rpm_limit=team_object.rpm_limit,
+        team_max_budget=team_object.max_budget,
+        team_soft_budget=team_object.soft_budget,
+        team_spend=team_object.spend,
+        team_models=tuple(team_object.models),
+        team_blocked=team_object.blocked,
+        team_metadata=json_columns.metadata,
+        team_model_aliases=(
+            json_columns.litellm_model_table.model_aliases if json_columns.litellm_model_table is not None else None
+        ),
+        team_object_permission_id=team_object.object_permission_id,
+        team_object_permission=team_object.object_permission,
+        team_member=next(
+            (m for m in team_object.members_with_roles if user_id is not None and m.user_id == user_id),
+            None,
+        ),
+        team_member_spend=team_membership.spend if team_membership is not None else None,
+        team_member_tpm_limit=(
+            team_membership.safe_get_team_member_tpm_limit() if team_membership is not None else None
+        ),
+        team_member_rpm_limit=(
+            team_membership.safe_get_team_member_rpm_limit() if team_membership is not None else None
+        ),
+    )
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index 93293db24c6..08dbe2508ec 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -82,6 +82,7 @@ from litellm.proxy.auth.oauth2_proxy_hook import handle_oauth2_proxy_request
 from litellm.proxy.auth.resolvers import CredentialRef, Principal
 from litellm.proxy.auth.resolvers.store import IdentityStore
 from litellm.proxy.auth.route_checks import RouteChecks
+from litellm.proxy.auth.team_grants import team_grants
 from litellm.proxy.auth.trusted_proxy_utils import get_trusted_proxy_cidrs
 from litellm.proxy.common_utils.cache_coordinator import EventDrivenCacheCoordinator
 from litellm.proxy.common_utils.http_parsing_utils import (
@@ -1476,24 +1477,16 @@ async def _user_api_key_auth_builder(
                             user_id=user_id,
                             user_email=user_email,
                             team_id=team_id,
-                            team_alias=(team_object.team_alias if team_object is not None else None),
-                            team_tpm_limit=(team_object.tpm_limit if team_object is not None else None),
-                            team_rpm_limit=(team_object.rpm_limit if team_object is not None else None),
-                            team_models=(team_object.models if team_object is not None else []),
-                            team_metadata=(team_object.metadata if team_object is not None else None),
                             org_id=org_id,
                             end_user_id=end_user_id,
                             parent_otel_span=parent_otel_span,
                             jwt_claims=jwt_claims,
+                            **team_grants(team_object=team_object, team_membership=team_membership, user_id=user_id),
                         )
 
                     valid_token = UserAPIKeyAuth(
                         api_key=None,
                         team_id=team_id,
-                        team_alias=(team_object.team_alias if team_object is not None else None),
-                        team_tpm_limit=(team_object.tpm_limit if team_object is not None else None),
-                        team_rpm_limit=(team_object.rpm_limit if team_object is not None else None),
-                        team_models=(team_object.models if team_object is not None else []),
                         user_role=(
                             LitellmUserRoles(user_object.user_role)
                             if user_object is not None and user_object.user_role is not None
@@ -1507,17 +1500,8 @@ async def _user_api_key_auth_builder(
                         user_tpm_limit=(user_object.tpm_limit if user_object is not None else None),
                         user_rpm_limit=(user_object.rpm_limit if user_object is not None else None),
                         user_model_max_budget=(user_object.model_max_budget if user_object is not None else None),
-                        team_member_rpm_limit=(
-                            team_membership.safe_get_team_member_rpm_limit() if team_membership is not None else None
-                        ),
-                        team_member_tpm_limit=(
-                            team_membership.safe_get_team_member_tpm_limit() if team_membership is not None else None
-                        ),
-                        team_metadata=(team_object.metadata if team_object is not None else None),
                         jwt_claims=jwt_claims,
-                    )
-                    valid_token.team_object_permission = (
-                        team_object.object_permission if team_object is not None else None
+                        **team_grants(team_object=team_object, team_membership=team_membership, user_id=user_id),
                     )
 
                     # AUTO_REGISTER deferred from _resolve_jwt_to_virtual_key.
diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py
index 2ec68a10f65..c050368b3fe 100644
--- a/litellm/proxy/management_endpoints/team_endpoints.py
+++ b/litellm/proxy/management_endpoints/team_endpoints.py
@@ -5601,7 +5601,7 @@ async def team_model_add(
     updated_team: Final = await _team_db(prisma_client).update(
         where={"team_id": data.team_id},
         data={"updated_at": datetime.now(timezone.utc)},
-        include={"object_permission": True},
+        include={"litellm_model_table": True, "object_permission": True},
     )
     if updated_team is None:
         raise HTTPException(
@@ -5688,7 +5688,7 @@ async def team_model_delete(
     updated_team: Final = await _team_db(prisma_client).update(
         where={"team_id": data.team_id},
         data={"models": updated_models},
-        include={"object_permission": True},
+        include={"litellm_model_table": True, "object_permission": True},
     )
     if updated_team is None:
         raise HTTPException(
diff --git a/litellm/proxy/management_endpoints/ui_sso.py b/litellm/proxy/management_endpoints/ui_sso.py
index 3e6434a5afd..c60888e298f 100644
--- a/litellm/proxy/management_endpoints/ui_sso.py
+++ b/litellm/proxy/management_endpoints/ui_sso.py
@@ -22,7 +22,6 @@ from html import escape
 from types import MappingProxyType
 from typing import (
     TYPE_CHECKING,
-    Annotated,
     Any,
     Final,
     Literal,
@@ -42,7 +41,7 @@ if TYPE_CHECKING:
 import jwt
 from fastapi import APIRouter, Depends, Header, HTTPException, Request, Response, status
 from fastapi.responses import RedirectResponse
-from pydantic import BaseModel, BeforeValidator, ConfigDict, TypeAdapter, ValidationError
+from pydantic import BaseModel, TypeAdapter, ValidationError
 
 import litellm
 from litellm._logging import verbose_proxy_logger
@@ -95,6 +94,7 @@ from litellm.proxy.auth.auth_utils import (
 )
 from litellm.proxy.auth.handle_jwt import JWTHandler
 from litellm.proxy.auth.ip_address_utils import IPAddressUtils
+from litellm.proxy.auth.team_grants import TeamModelAliasTable
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.proxy.common_utils.admin_ui_utils import (
     admin_ui_disabled,
@@ -209,31 +209,14 @@ def _team_detail_db(repo: TeamRepository) -> "TableActions[_TeamDetailRow]":
     return repo.table
 
 
-_MODEL_ALIASES_ADAPTER: Final = TypeAdapter(dict[str, str])
 _SSO_TOKEN_CLAIMS_ADAPTER: Final = TypeAdapter(Mapping[str, object])
 
 
-def _decode_model_aliases(value: object) -> object:
-    """``/team/new`` stores team model aliases as a JSON-encoded string in the Json column."""
-    if not isinstance(value, str):
-        return value
-    try:
-        return _MODEL_ALIASES_ADAPTER.validate_json(value)
-    except ValidationError:
-        return None
-
-
-class _TeamModelAliasTable(BaseModel):
-    model_config = ConfigDict(protected_namespaces=())
-
-    model_aliases: Annotated[Mapping[str, str] | None, BeforeValidator(_decode_model_aliases)] = None
-
-
 class _TeamRowGrants(BaseModel):
     team_id: str
     team_alias: str | None = None
     models: tuple[str, ...] = ()
-    litellm_model_table: _TeamModelAliasTable | None = None
+    litellm_model_table: TeamModelAliasTable | None = None
 
 
 class CliSsoTeamDetail(BaseModel):
diff --git a/tests/test_litellm/proxy/auth/test_auth_checks.py b/tests/test_litellm/proxy/auth/test_auth_checks.py
index 2284a05b2e9..5bfef2b6445 100644
--- a/tests/test_litellm/proxy/auth/test_auth_checks.py
+++ b/tests/test_litellm/proxy/auth/test_auth_checks.py
@@ -2374,6 +2374,44 @@ def _mock_prisma_for_team_lookup(find_unique):
     return mock_prisma_client
 
 
+_TEAM_ALIAS_TABLE_ROW = {"id": 1, "model_aliases": '{"fast": "gpt-4o"}', "created_by": "admin", "updated_by": "admin"}
+
+
+def _prisma_team_row(include):
+    """Mimics Prisma: the `litellm_model_table` relation rides on the row only when the query `include`s it."""
+    columns = {"team_id": "team-aliases", "team_alias": "aliases", "models": ["gpt-4o"]}
+    row = (
+        {**columns, "litellm_model_table": _TEAM_ALIAS_TABLE_ROW}
+        if (include or {}).get("litellm_model_table")
+        else columns
+    )
+    return SimpleNamespace(dict=lambda: row, model_dump=lambda: row)
+
+
+@pytest.mark.asyncio
+async def test_get_team_object_loads_model_aliases_relation():
+    """LIT-5858: the auth path read teams without `include`ing `litellm_model_table`, so every JWT
+    team came back with `model_aliases=None` and alias requests 403'd."""
+    from litellm.proxy.auth.auth_checks import get_team_object
+    from litellm.proxy.auth.team_grants import team_model_aliases
+
+    async def find_unique(where, include=None):
+        return _prisma_team_row(include)
+
+    mock_cache = MagicMock()
+    mock_cache.async_get_cache = AsyncMock(return_value=None)
+    mock_cache.async_set_cache = AsyncMock()
+
+    team = await get_team_object(
+        team_id="team-aliases",
+        prisma_client=_mock_prisma_for_team_lookup(AsyncMock(side_effect=find_unique)),
+        user_api_key_cache=mock_cache,
+        check_db_only=True,
+    )
+
+    assert team_model_aliases(team) == {"fast": "gpt-4o"}
+
+
 @pytest.mark.asyncio
 async def test_get_team_object_distinguishes_absent_team_from_unreadable_row():
     """A deleted team and a database that would not answer both surface as a 404,
@@ -6195,6 +6233,32 @@ async def test_get_team_object_by_alias_db_fetch_returns_cached_obj():
     assert result.models == ["gpt-4"]
 
 
+@pytest.mark.asyncio
+async def test_get_team_object_by_alias_loads_model_aliases_relation():
+    """LIT-5858: same regression as `test_get_team_object_loads_model_aliases_relation`, for the
+    `team_alias_jwt_field` lookup."""
+    from litellm.proxy.auth.auth_checks import get_team_object_by_alias
+    from litellm.proxy.auth.team_grants import team_model_aliases
+
+    async def find_many(where, include=None):
+        return [_prisma_team_row(include)]
+
+    mock_prisma_client = MagicMock()
+    mock_prisma_client.db.litellm_teamtable.find_many = AsyncMock(side_effect=find_many)
+
+    mock_cache = MagicMock()
+    mock_cache.async_get_cache = AsyncMock(return_value=None)
+    mock_cache.async_set_cache = AsyncMock()
+
+    team = await get_team_object_by_alias(
+        team_alias="aliases",
+        prisma_client=mock_prisma_client,
+        user_api_key_cache=mock_cache,
+    )
+
+    assert team_model_aliases(team) == {"fast": "gpt-4o"}
+
+
 @pytest.mark.asyncio
 async def test_get_org_object_by_alias_db_fetch_returns_validated_org():
     from litellm.proxy._types import LiteLLM_OrganizationTable
diff --git a/tests/test_litellm/proxy/auth/test_handle_jwt.py b/tests/test_litellm/proxy/auth/test_handle_jwt.py
index 99a0a4c0a8b..94226b5404d 100644
--- a/tests/test_litellm/proxy/auth/test_handle_jwt.py
+++ b/tests/test_litellm/proxy/auth/test_handle_jwt.py
@@ -13,6 +13,7 @@ from litellm.proxy._types import (
     DEFAULT_JWKS_STALE_TTL,
     JWTLiteLLMRoleMap,
     LiteLLM_JWTAuth,
+    LiteLLM_ModelTable,
     LiteLLM_TeamMembership,
     LiteLLM_TeamTable,
     LiteLLM_UserTable,
@@ -1255,6 +1256,57 @@ async def test_find_team_with_model_access_model_group(monkeypatch):
     assert team_obj.team_id == "team-1"
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "model_aliases",
+    ['{"fast": "gpt-4o"}', {"fast": "gpt-4o"}],
+    ids=["json-string", "dict"],
+)
+async def test_find_team_with_model_access_resolves_team_model_alias(monkeypatch, model_aliases):
+    """LIT-5858: a JWT team that grants `gpt-4o` under the alias `fast` must resolve a request
+    for `fast`. The JWT path used to pass `team_model_aliases=None`, so every alias request 403'd."""
+    import sys
+    import types
+
+    from litellm.caching import DualCache
+    from litellm.proxy.utils import ProxyLogging
+    from litellm.router import Router
+
+    router = Router(model_list=[{"model_name": "gpt-4o", "litellm_params": {"model": "gpt-4o"}}])
+    proxy_server_module = types.ModuleType("proxy_server")
+    proxy_server_module.llm_router = router
+    monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_module)
+
+    team = LiteLLM_TeamTable(
+        team_id="team-aliases",
+        models=["gpt-4o"],
+        litellm_model_table=LiteLLM_ModelTable(model_aliases=model_aliases, created_by="admin", updated_by="admin"),
+    )
+
+    async def mock_get_team_object(*args, **kwargs):
+        return team
+
+    monkeypatch.setattr("litellm.proxy.auth.handle_jwt.get_team_object", mock_get_team_object)
+
+    jwt_handler = JWTHandler()
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth()
+    user_api_key_cache = DualCache()
+
+    team_id, team_obj = await JWTAuthManager.find_team_with_model_access(
+        team_ids={"team-aliases"},
+        requested_model="fast",
+        route="/chat/completions",
+        jwt_handler=jwt_handler,
+        prisma_client=None,
+        user_api_key_cache=user_api_key_cache,
+        parent_otel_span=None,
+        proxy_logging_obj=ProxyLogging(user_api_key_cache=user_api_key_cache),
+    )
+
+    assert team_id == "team-aliases"
+    assert team_obj is team
+
+
 @pytest.mark.asyncio
 async def test_find_team_with_model_access_v1_messages_default_routes(monkeypatch):
     """Regression for #31189: a single-team JWT that grants the requested model
diff --git a/tests/test_litellm/proxy/auth/test_team_grants.py b/tests/test_litellm/proxy/auth/test_team_grants.py
new file mode 100644
index 00000000000..447fc1c93a1
--- /dev/null
+++ b/tests/test_litellm/proxy/auth/test_team_grants.py
@@ -0,0 +1,129 @@
+import pytest
+
+from litellm.proxy._types import (
+    LiteLLM_BudgetTable,
+    LiteLLM_ObjectPermissionTable,
+    LiteLLM_TeamMembership,
+    LiteLLM_TeamTable,
+    LiteLLM_VerificationTokenView,
+    Member,
+    UserAPIKeyAuth,
+)
+from litellm.models.team import LiteLLM_ModelTable
+from litellm.proxy.auth.team_grants import team_grants, team_model_aliases
+
+TEAM_ID = "team-grants"
+USER_ID = "user-in-team"
+ALIASES = {"fast": "gpt-4o-mini", "smart": "gpt-4o"}
+
+
+def _alias_table(model_aliases) -> LiteLLM_ModelTable:
+    return LiteLLM_ModelTable(model_aliases=model_aliases, created_by="admin", updated_by="admin")
+
+
+def _full_team(model_aliases=ALIASES) -> LiteLLM_TeamTable:
+    return LiteLLM_TeamTable(
+        team_id=TEAM_ID,
+        team_alias="grants-team",
+        tpm_limit=1000,
+        rpm_limit=10,
+        max_budget=50.0,
+        soft_budget=25.0,
+        spend=12.5,
+        models=["gpt-4o", "gpt-4o-mini"],
+        blocked=True,
+        metadata={"tier": "gold"},
+        litellm_model_table=_alias_table(model_aliases),
+        object_permission_id="op-1",
+        object_permission=LiteLLM_ObjectPermissionTable(object_permission_id="op-1", mcp_servers=["mcp-a"]),
+        members_with_roles=[
+            Member(user_id="someone-else", role="user"),
+            Member(user_id=USER_ID, role="admin"),
+        ],
+    )
+
+
+def _membership() -> LiteLLM_TeamMembership:
+    return LiteLLM_TeamMembership(
+        user_id=USER_ID,
+        team_id=TEAM_ID,
+        spend=3.25,
+        litellm_budget_table=LiteLLM_BudgetTable(tpm_limit=500, rpm_limit=5),
+    )
+
+
+def test_team_grants_cover_every_team_field_the_key_path_gets():
+    """Class guard for LIT-5858 and its siblings: every ``team_*`` column the combined-view SQL hands the
+    virtual-key path must come out of the projection too, with the team's actual value, so adding a column
+    to ``LiteLLM_VerificationTokenView`` without teaching ``team_grants`` fails here instead of in prod."""
+    team = _full_team()
+    grants = team_grants(team_object=team, team_membership=_membership(), user_id=USER_ID)
+    token = UserAPIKeyAuth(team_id=TEAM_ID, **grants)
+
+    view_team_fields = {name for name in LiteLLM_VerificationTokenView.model_fields if name.startswith("team_")}
+    assert view_team_fields - {"team_id"} <= set(grants)
+    assert all(grants[name] is not None for name in view_team_fields - {"team_id"})
+
+    assert token.team_alias == "grants-team"
+    assert token.team_tpm_limit == 1000
+    assert token.team_rpm_limit == 10
+    assert token.team_max_budget == 50.0
+    assert token.team_soft_budget == 25.0
+    assert token.team_spend == 12.5
+    assert token.team_models == ["gpt-4o", "gpt-4o-mini"]
+    assert token.team_blocked is True
+    assert token.team_metadata == {"tier": "gold"}
+    assert token.team_model_aliases == ALIASES
+    assert token.team_object_permission_id == "op-1"
+    assert token.team_object_permission is not None
+    assert token.team_object_permission.mcp_servers == ["mcp-a"]
+    assert token.team_member == Member(user_id=USER_ID, role="admin")
+    assert token.team_member_spend == 3.25
+    assert token.team_member_tpm_limit == 500
+    assert token.team_member_rpm_limit == 5
+
+
+def test_team_grants_without_team_leave_token_defaults():
+    token = UserAPIKeyAuth(**team_grants(team_object=None, team_membership=None, user_id=USER_ID))
+    assert token == UserAPIKeyAuth()
+
+
+@pytest.mark.parametrize(
+    "stored_aliases",
+    [ALIASES, '{"fast": "gpt-4o-mini", "smart": "gpt-4o"}'],
+    ids=["json-object", "json-string-as-written-by-team-new"],
+)
+def test_team_model_aliases_decode_both_storage_shapes(stored_aliases):
+    team = _full_team(model_aliases=stored_aliases)
+    assert team_model_aliases(team) == ALIASES
+    assert team_grants(team_object=team, team_membership=None, user_id=None)["team_model_aliases"] == ALIASES
+
+
+@pytest.mark.parametrize("stored_aliases", [None, "not json", '["a", "b"]', {"fast": 3}], ids=str)
+def test_team_model_aliases_treat_unusable_column_as_no_aliases(stored_aliases):
+    team = _full_team(model_aliases=stored_aliases)
+    assert team_model_aliases(team) is None
+    assert team_grants(team_object=team, team_membership=None, user_id=None)["team_model_aliases"] is None
+
+
+def test_team_model_aliases_none_without_relation_loaded():
+    team = _full_team()
+    team.litellm_model_table = None
+    assert team_model_aliases(team) is None
+    assert team_model_aliases(None) is None
+
+
+def test_team_member_is_the_callers_row_only():
+    team = _full_team()
+    assert team_grants(team_object=team, team_membership=None, user_id="someone-else")["team_member"] == Member(
+        user_id="someone-else", role="user"
+    )
+    assert team_grants(team_object=team, team_membership=None, user_id="stranger")["team_member"] is None
+    assert team_grants(team_object=team, team_membership=None, user_id=None)["team_member"] is None
+
+
+def test_membership_limits_absent_without_membership_row():
+    grants = team_grants(team_object=_full_team(), team_membership=None, user_id=USER_ID)
+    assert grants["team_member_spend"] is None
+    assert grants["team_member_tpm_limit"] is None
+    assert grants["team_member_rpm_limit"] is None
diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
index d44f96d95bf..78ffbb0db23 100644
--- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
+++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
@@ -6872,3 +6872,119 @@ class TestLitellmReceivedAtStamping:
 
         assert result == earlier
         assert request.state.litellm_received_at == earlier
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("is_proxy_admin", [False, True], ids=["standard-return", "proxy-admin-return"])
+async def test_jwt_builder_returns_every_team_grant_the_key_path_gets(is_proxy_admin):
+    """LIT-5858: the team-based JWT path hand-built ``UserAPIKeyAuth`` from a short list of team fields, so the
+    team's model aliases (and on the admin return, its object permission) never reached the token and alias
+    requests 403'd. Both returns now go through ``team_grants``; pin the fields that used to be dropped."""
+    import litellm.proxy.proxy_server as _proxy_server_mod
+    from fastapi import Request
+    from starlette.datastructures import URL
+
+    from litellm.models.team import LiteLLM_ModelTable
+    from litellm.proxy._types import (
+        LiteLLM_ObjectPermissionTable,
+        LiteLLM_TeamMembership,
+        LiteLLM_TeamTable,
+        Member,
+    )
+
+    class _AcceptEveryJwt(JWTHandler):
+        def is_jwt(self, token: str) -> bool:
+            return True
+
+    jwt_handler = _AcceptEveryJwt()
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth()
+
+    team = LiteLLM_TeamTable(
+        team_id="team-jwt-aliases",
+        team_alias="jwt-aliases",
+        models=["gpt-4o"],
+        max_budget=40.0,
+        spend=4.0,
+        blocked=False,
+        metadata={"tier": "gold"},
+        litellm_model_table=LiteLLM_ModelTable(
+            model_aliases='{"fast": "gpt-4o"}', created_by="admin", updated_by="admin"
+        ),
+        object_permission_id="op-jwt",
+        object_permission=LiteLLM_ObjectPermissionTable(object_permission_id="op-jwt", mcp_servers=["mcp-a"]),
+        members_with_roles=[Member(user_id="jwt-user", role="admin")],
+    )
+    membership = LiteLLM_TeamMembership(user_id="jwt-user", team_id="team-jwt-aliases", spend=1.5)
+    builder_result = {
+        "is_proxy_admin": is_proxy_admin,
+        "team_object": team,
+        "user_object": None,
+        "end_user_object": None,
+        "org_object": None,
+        "token": "jwt",
+        "team_id": "team-jwt-aliases",
+        "user_id": "jwt-user",
+        "user_email": "jwt-user@example.com",
+        "end_user_id": None,
+        "org_id": None,
+        "team_membership": membership,
+        "jwt_claims": {"sub": "jwt-user"},
+    }
+
+    mock_proxy_logging_obj = MagicMock()
+    mock_proxy_logging_obj.internal_usage_cache = MagicMock()
+    mock_proxy_logging_obj.internal_usage_cache.dual_cache = AsyncMock()
+    mock_proxy_logging_obj.post_call_failure_hook = AsyncMock(return_value=None)
+    attrs = {
+        "prisma_client": MagicMock(),
+        "user_api_key_cache": DualCache(),
+        "proxy_logging_obj": mock_proxy_logging_obj,
+        "master_key": "sk-master-key",
+        "general_settings": {"enable_jwt_auth": True},
+        "llm_model_list": [],
+        "llm_router": None,
+        "open_telemetry_logger": None,
+        "model_max_budget_limiter": MagicMock(),
+        "user_custom_auth": None,
+        "jwt_handler": jwt_handler,
+        "premium_user": True,
+        "litellm_proxy_admin_name": "admin",
+    }
+    originals = {a: getattr(_proxy_server_mod, a, None) for a in attrs}
+    try:
+        for k, v in attrs.items():
+            setattr(_proxy_server_mod, k, v)
+        request = Request(scope={"type": "http", "headers": [], "method": "POST"})
+        request._url = URL(url="/chat/completions")
+        with patch(  # test-quality-ok: auth_builder is the claim-resolution seam; the regression is how its result is projected onto the token
+            "litellm.proxy.auth.user_api_key_auth.JWTAuthManager.auth_builder",
+            new_callable=AsyncMock,
+            return_value=builder_result,
+        ):
+            token = await _user_api_key_auth_builder(
+                request=request,
+                api_key="Bearer header.payload.signature",
+                azure_api_key_header="",
+                anthropic_api_key_header=None,
+                google_ai_studio_api_key_header=None,
+                azure_apim_header=None,
+                request_data={},
+            )
+    finally:
+        for k, v in originals.items():
+            setattr(_proxy_server_mod, k, v)
+
+    assert token.team_id == "team-jwt-aliases"
+    assert token.user_role == (LitellmUserRoles.PROXY_ADMIN if is_proxy_admin else LitellmUserRoles.INTERNAL_USER)
+    assert token.team_model_aliases == {"fast": "gpt-4o"}
+    assert token.team_object_permission is not None
+    assert token.team_object_permission.mcp_servers == ["mcp-a"]
+    assert token.team_object_permission_id == "op-jwt"
+    assert token.team_alias == "jwt-aliases"
+    assert token.team_models == ["gpt-4o"]
+    assert token.team_max_budget == 40.0
+    assert token.team_spend == 4.0
+    assert token.team_metadata == {"tier": "gold"}
+    assert token.team_member == Member(user_id="jwt-user", role="admin")
+    assert token.team_member_spend == 1.5
+    assert token.jwt_claims == {"sub": "jwt-user"}
diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py
index 051e6bed4fd..2f6561046b1 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py
@@ -2205,6 +2205,50 @@ async def test_team_model_add_delete_refresh_team_cache(endpoint_name):
         assert update_call_kwargs.get("include", {}).get("object_permission") is True
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("endpoint_name", ["team_model_add", "team_model_delete"])
+async def test_team_model_add_delete_keep_model_aliases_in_team_cache(endpoint_name, monkeypatch):
+    """LIT-5858: Prisma only returns `litellm_model_table` when the `update` asks for it, so the refreshed
+    cache entry lost the team's model aliases and JWT alias requests 403'd until the next DB read."""
+    from litellm.proxy._types import TeamModelAddRequest, TeamModelDeleteRequest
+    from litellm.proxy.auth.team_grants import team_model_aliases
+    from litellm.proxy.common_utils.user_api_key_cache import UserApiKeyCache
+    from litellm.proxy.management_endpoints.team_endpoints import team_model_add, team_model_delete
+
+    columns = {"team_id": "team-1234", "models": ["gpt-4o", "openai/*"]}
+    alias_table = {"id": 1, "model_aliases": '{"fast": "gpt-4o"}', "created_by": "admin", "updated_by": "admin"}
+
+    async def update(where, data, include=None):
+        row = {**columns, "litellm_model_table": alias_table} if (include or {}).get("litellm_model_table") else columns
+        return SimpleNamespace(team_id="team-1234", model_dump=lambda: row)
+
+    prisma_client = MagicMock()
+    prisma_client.db.litellm_teamtable.find_unique = AsyncMock(return_value=SimpleNamespace(model_dump=lambda: columns))
+    prisma_client.db.litellm_teamtable.update = AsyncMock(side_effect=update)
+    prisma_client.db.execute_raw = AsyncMock(return_value=None)
+    cache = UserApiKeyCache()
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", prisma_client)
+    monkeypatch.setattr("litellm.proxy.proxy_server.user_api_key_cache", cache)
+    monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", None)
+
+    admin = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, user_id="admin")
+    if endpoint_name == "team_model_add":
+        await team_model_add(
+            data=TeamModelAddRequest(team_id="team-1234", models=["team-byok-1"]),
+            http_request=MagicMock(),
+            user_api_key_dict=admin,
+        )
+    else:
+        await team_model_delete(
+            data=TeamModelDeleteRequest(team_id="team-1234", models=["openai/*"]),
+            http_request=MagicMock(),
+            user_api_key_dict=admin,
+        )
+
+    cached_team = await cache.async_get_cache(key="team_id:team-1234", model_type=LiteLLM_TeamTableCachedObj)
+    assert team_model_aliases(cached_team) == {"fast": "gpt-4o"}
+
+
 @pytest.mark.asyncio
 @pytest.mark.parametrize(
     "endpoint_name",
diff --git a/type-discipline-budget.json b/type-discipline-budget.json
index e7186dfe186..7db8ed501f8 100644
--- a/type-discipline-budget.json
+++ b/type-discipline-budget.json
@@ -3,7 +3,7 @@
     "limit": 22180
   },
   "LIT002": {
-    "limit": 26729
+    "limit": 26727
   },
   "LIT003": {
     "limit": 261

From 16fd14f53705dab68ee8c4b0fd2c9093c8e3cdac Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Sat, 5 Sep 2026 18:03:24 -0700
Subject: [PATCH 040/223] fix(docker): ship pymongo in the proxy images for the
 MongoDB vector store

The MongoDB Atlas vector store provider imports pymongo lazily from the
opt-in `mongodb` extra, but none of the shipped images installed that
extra. Any image-based deployment that configured a MongoDB vector store
failed at search time with "requires the 'pymongo' package", which the
user cannot fix without extending the image

Adds `--extra mongodb` to every uv sync in the root Dockerfile,
Dockerfile.database, Dockerfile.non_root, and the gateway component
image. The backend component does not serve /vector_stores so it is left
as is. The extra resolves from the existing uv.lock to pymongo 4.17.0
plus dnspython 2.8.0, no lock change needed
---
 Dockerfile                 | 2 ++
 docker/Dockerfile.database | 2 ++
 docker/Dockerfile.non_root | 3 +++
 gateway/Dockerfile         | 2 ++
 4 files changed, 9 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 0a92aa9a68c..1648ec69d13 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -67,6 +67,7 @@ RUN uv sync --frozen --no-install-project --no-install-workspace --no-default-gr
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
+    --extra mongodb \
     --python python3.13
 
 # Copy full source tree
@@ -89,6 +90,7 @@ RUN uv sync --frozen --no-default-groups --no-editable \
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
+    --extra mongodb \
     --python python3.13
 
 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \
diff --git a/docker/Dockerfile.database b/docker/Dockerfile.database
index e9ad2849bb2..cc81ad6b3d3 100644
--- a/docker/Dockerfile.database
+++ b/docker/Dockerfile.database
@@ -65,6 +65,7 @@ RUN uv sync --frozen --no-install-project --no-install-workspace --no-default-gr
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
+    --extra mongodb \
     --python python3.13
 
 # Copy full source tree
@@ -87,6 +88,7 @@ RUN uv sync --frozen --no-default-groups --no-editable \
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
+    --extra mongodb \
     --python python3.13
 
 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \
diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root
index edf20e8bbff..358425af901 100644
--- a/docker/Dockerfile.non_root
+++ b/docker/Dockerfile.non_root
@@ -71,6 +71,7 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
+    --extra mongodb \
     --python python3.13
 
 # Copy full source tree
@@ -99,6 +100,7 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \
         --extra semantic-router \
         --extra saml \
         --extra bedrock-realtime \
+        --extra mongodb \
         --python python3.13 \
         --no-sources-package litellm-proxy-extras; \
     else \
@@ -109,6 +111,7 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \
         --extra semantic-router \
         --extra saml \
         --extra bedrock-realtime \
+        --extra mongodb \
         --python python3.13; \
     fi
 
diff --git a/gateway/Dockerfile b/gateway/Dockerfile
index 308d70a6b26..e42e488d57f 100644
--- a/gateway/Dockerfile
+++ b/gateway/Dockerfile
@@ -47,6 +47,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
         --extra extra_proxy \
         --extra semantic-router \
         --extra bedrock-realtime \
+        --extra mongodb \
         --python python3.13
 
 # Stage 2 — copy source and install the project + workspace members.
@@ -59,6 +60,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
         --extra extra_proxy \
         --extra semantic-router \
         --extra bedrock-realtime \
+        --extra mongodb \
         --python python3.13
 
 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \

From 8576cf74c2ef4eaa15f48eaaf99447f9d6fb394d Mon Sep 17 00:00:00 2001
From: Oliver Jensen <oliver@berri.ai>
Date: Mon, 7 Sep 2026 14:09:37 +0200
Subject: [PATCH 041/223] feat(auth): add disable_env_credential_login setting
 with admin ui warning

Env-credential login (UI_USERNAME/UI_PASSWORD, or the master key when
UI_PASSWORD is unset) is always live today. This adds a general_settings
flag to turn that login path off once real admin accounts exist, and a
warning banner shown to any admin while it remains enabled.

The banner flag is served through /health/readiness/details and stays
quiet when disable_password_login_when_sso_enabled already makes the env
path unreachable.
---
 litellm/proxy/_types.py                       |  12 ++
 litellm/proxy/auth/login_utils.py             |  32 +++-
 .../health_endpoints/_health_endpoints.py     |  20 +++
 .../proxy/auth/test_login_utils.py            | 154 ++++++++++++++++++
 .../health_endpoints/test_health_endpoints.py |  27 +++
 .../useHealthReadinessDetails.ts              |   1 +
 .../src/app/(dashboard)/layout.test.tsx       |   4 +
 .../src/app/(dashboard)/layout.tsx            |   3 +
 .../EnvCredentialLoginWarningBanner.test.tsx  |  76 +++++++++
 .../EnvCredentialLoginWarningBanner.tsx       |  35 ++++
 ui/litellm-dashboard/src/lib/http/schema.d.ts |   5 +
 11 files changed, 364 insertions(+), 5 deletions(-)
 create mode 100644 ui/litellm-dashboard/src/components/EnvCredentialLoginWarningBanner.test.tsx
 create mode 100644 ui/litellm-dashboard/src/components/EnvCredentialLoginWarningBanner.tsx

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index c28ac8848ba..c30a3c5bea8 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -2817,6 +2817,18 @@ class ConfigGeneralSettings(LiteLLMPydanticObjectBase):
             "UI username/password login. Default is False."
         ),
     )
+    disable_env_credential_login: bool | None = Field(
+        None,
+        description=(
+            "If True, disables signing in to the Admin UI with the environment credentials: "
+            "UI_USERNAME/UI_PASSWORD, or the master key when UI_PASSWORD is unset (that fallback "
+            "means env-credential login is always live by default). Database users with passwords "
+            "are unaffected. LOCKOUT RISK: create at least one proxy admin user with a password "
+            "before enabling, or nobody can sign in to the UI. A locked-out admin can still "
+            "administer the proxy over the API with the master key, and can unset this setting "
+            "and restart the proxy to restore env-credential login. Default is False."
+        ),
+    )
     disable_budget_reservation: bool | None = Field(
         None,
         description=(
diff --git a/litellm/proxy/auth/login_utils.py b/litellm/proxy/auth/login_utils.py
index 8d4f6f81363..6ca7ea5074d 100644
--- a/litellm/proxy/auth/login_utils.py
+++ b/litellm/proxy/auth/login_utils.py
@@ -85,6 +85,29 @@ def get_ui_credentials(master_key: str | None) -> tuple[str, str]:
     return ui_username, ui_password
 
 
+def _matches_env_credentials(username: str, password: str, master_key: str | None) -> bool:
+    ui_username, ui_password = get_ui_credentials(master_key)
+    return secrets.compare_digest(username.encode("utf-8"), ui_username.encode("utf-8")) and secrets.compare_digest(
+        password.encode("utf-8"), ui_password.encode("utf-8")
+    )
+
+
+def is_env_credential_login_enabled(general_settings: Mapping[str, object]) -> bool:
+    """Whether a login with UI_USERNAME/UI_PASSWORD (or the master-key fallback) can succeed.
+
+    Two settings can turn it off: `disable_env_credential_login` unconditionally, and
+    `disable_password_login_when_sso_enabled` as a side effect, since its gate rejects
+    every username/password login before the env comparison runs. Feeds both the
+    `authenticate_user` gate and the Admin UI warning banner, so the banner never nags
+    about a login path that is already unreachable.
+    """
+    if general_settings.get("disable_env_credential_login") is True:
+        return False
+    if general_settings.get("disable_password_login_when_sso_enabled") is True and is_sso_provider_fully_configured():
+        return False
+    return True
+
+
 class LoginResult:
     """Result object containing authentication data from login."""
 
@@ -129,7 +152,8 @@ async def authenticate_user(
         master_key: Master key for the proxy (required)
         prisma_client: Prisma database client (optional)
         general_settings: Proxy general_settings, checked for
-            `disable_password_login_when_sso_enabled`
+            `disable_password_login_when_sso_enabled` and
+            `disable_env_credential_login`
 
     Returns:
         LoginResult: Object containing authentication data
@@ -170,8 +194,6 @@ async def authenticate_user(
             code=500,
         )
 
-    ui_username, ui_password = get_ui_credentials(master_key)
-
     # Check if we can find the `username` in the db. On the UI, users can enter username=their email
     _user_row: LiteLLM_UserTable | None = None
     user_role: (
@@ -197,8 +219,8 @@ async def authenticate_user(
     - Login with UI_USERNAME and UI_PASSWORD
     - Login with Invite Link `user_email` and `password` combination
     """
-    if secrets.compare_digest(username.encode("utf-8"), ui_username.encode("utf-8")) and secrets.compare_digest(
-        password.encode("utf-8"), ui_password.encode("utf-8")
+    if general_settings.get("disable_env_credential_login") is not True and _matches_env_credentials(
+        username, password, master_key
     ):
         # Non SSO -> If user is using UI_USERNAME and UI_PASSWORD they are Proxy admin
         user_role = LitellmUserRoles.PROXY_ADMIN
diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py
index 1785a2f0992..e5e4f89234b 100644
--- a/litellm/proxy/health_endpoints/_health_endpoints.py
+++ b/litellm/proxy/health_endpoints/_health_endpoints.py
@@ -1582,6 +1582,23 @@ async def _show_no_redis_warning() -> bool:
     return await count_live_proxy_workers(prisma_client) != 1
 
 
+def _show_env_credential_login_warning() -> bool:
+    """
+    Whether the UI should warn admins that env-credential login is still enabled.
+
+    UI_USERNAME/UI_PASSWORD (or the master key, when UI_PASSWORD is unset) grant
+    proxy-admin access with a shared static secret: no per-person identity, no
+    audit trail, no password policy, and it stays valid until the env var or
+    master key rotates. That is fine for first-time setup, so it is on by
+    default, but once real admin accounts exist it should be turned off with
+    `general_settings.disable_env_credential_login`.
+    """
+    from litellm.proxy.auth.login_utils import is_env_credential_login_enabled
+    from litellm.proxy.proxy_server import general_settings
+
+    return is_env_credential_login_enabled(general_settings)
+
+
 async def _get_health_readiness_details(
     response: Response | None = None,
 ) -> dict[str, Any]:
@@ -1623,6 +1640,7 @@ async def _get_health_readiness_details(
         log_level_name: Final = logging.getLevelName(verbose_logger.getEffectiveLevel())
         is_detailed_debug: Final = verbose_logger.isEnabledFor(logging.DEBUG)
         show_no_redis_warning: Final = await _show_no_redis_warning()
+        show_env_credential_login_warning: Final = _show_env_credential_login_warning()
 
         # check DB
         if prisma_client is not None:  # if db passed in, check if it's connected
@@ -1650,6 +1668,7 @@ async def _get_health_readiness_details(
                 "log_level": log_level_name,
                 "is_detailed_debug": is_detailed_debug,
                 "show_no_redis_warning": show_no_redis_warning,
+                "show_env_credential_login_warning": show_env_credential_login_warning,
             }
         else:
             return {
@@ -1662,6 +1681,7 @@ async def _get_health_readiness_details(
                 "log_level": log_level_name,
                 "is_detailed_debug": is_detailed_debug,
                 "show_no_redis_warning": show_no_redis_warning,
+                "show_env_credential_login_warning": show_env_credential_login_warning,
             }
     except Exception as e:
         raise HTTPException(status_code=503, detail=f"Service Unhealthy ({e})")
diff --git a/tests/test_litellm/proxy/auth/test_login_utils.py b/tests/test_litellm/proxy/auth/test_login_utils.py
index 8d93d801bfd..72cc6e04a12 100644
--- a/tests/test_litellm/proxy/auth/test_login_utils.py
+++ b/tests/test_litellm/proxy/auth/test_login_utils.py
@@ -23,6 +23,7 @@ from litellm.proxy.auth.login_utils import (
     LoginResult,
     authenticate_user,
     get_ui_credentials,
+    is_env_credential_login_enabled,
 )
 
 
@@ -799,3 +800,156 @@ class TestDisablePasswordLoginWhenSSOEnabled:
 
         assert isinstance(result, LoginResult)
         assert result.user_id == LITELLM_PROXY_ADMIN_NAME
+
+
+class TestDisableEnvCredentialLogin:
+    """`disable_env_credential_login` must reject a login with the env
+    credentials (UI_USERNAME/UI_PASSWORD, or the master-key fallback when
+    UI_PASSWORD is unset) while leaving database-user password logins
+    untouched, so admins with real accounts keep a way in."""
+
+    @pytest.mark.asyncio
+    async def test_rejects_correct_env_credentials_when_disabled(self):
+        master_key = "sk-1234"
+        ui_username = "admin"
+        ui_password = "env-only-password"
+
+        mock_prisma_client = MagicMock()
+        mock_prisma_client.db.litellm_usertable.find_first = AsyncMock(return_value=None)
+
+        with patch.dict(os.environ, {"UI_USERNAME": ui_username, "UI_PASSWORD": ui_password}):
+            with pytest.raises(ProxyException) as exc_info:
+                await authenticate_user(
+                    username=ui_username,
+                    password=ui_password,
+                    master_key=master_key,
+                    prisma_client=mock_prisma_client,
+                    general_settings={"disable_env_credential_login": True},
+                )
+
+        assert exc_info.value.type == ProxyErrorTypes.auth_error
+        assert exc_info.value.code == "401"
+
+    @pytest.mark.asyncio
+    async def test_rejects_master_key_fallback_when_disabled(self):
+        """With UI_PASSWORD unset, the master key IS the env password, so the
+        setting must reject it too or it protects nothing by default."""
+        master_key = "sk-1234"
+
+        mock_prisma_client = MagicMock()
+        mock_prisma_client.db.litellm_usertable.find_first = AsyncMock(return_value=None)
+
+        with patch.dict(os.environ, {"UI_USERNAME": "admin"}, clear=True):
+            with pytest.raises(ProxyException) as exc_info:
+                await authenticate_user(
+                    username="admin",
+                    password=master_key,
+                    master_key=master_key,
+                    prisma_client=mock_prisma_client,
+                    general_settings={"disable_env_credential_login": True},
+                )
+
+        assert exc_info.value.code == "401"
+
+    @pytest.mark.asyncio
+    async def test_db_user_login_still_works_when_disabled(self):
+        master_key = "sk-1234"
+        user_email = "admin@example.com"
+        password = "Str0ng!Passw0rd"
+
+        mock_user = LiteLLM_UserTable(
+            user_id="db-admin-1",
+            user_email=user_email,
+            password=hash_token(token=password),
+            user_role=LitellmUserRoles.PROXY_ADMIN,
+        )
+        mock_prisma_client = MagicMock()
+        mock_prisma_client.db.litellm_usertable.find_first = AsyncMock(return_value=mock_user)
+
+        with patch.dict(
+            os.environ,
+            {
+                "UI_USERNAME": "admin",
+                "UI_PASSWORD": "env-password",
+                "DATABASE_URL": "postgresql://test:test@localhost/test",
+            },
+            clear=True,
+        ):
+            with ExitStack() as stack:
+                stack.enter_context(
+                    patch(  # test-quality-ok: internal orchestration, no HTTP boundary; matches pre-existing tests
+                        "litellm.proxy.auth.login_utils.generate_key_helper_fn",
+                        new_callable=AsyncMock,
+                        return_value={"token": "db-user-token"},
+                    )
+                )
+                result = await authenticate_user(
+                    username=user_email,
+                    password=password,
+                    master_key=master_key,
+                    prisma_client=mock_prisma_client,
+                    general_settings={"disable_env_credential_login": True},
+                )
+
+        assert isinstance(result, LoginResult)
+        assert result.user_id == "db-admin-1"
+        assert result.user_role == LitellmUserRoles.PROXY_ADMIN
+
+    @pytest.mark.asyncio
+    async def test_env_login_still_works_when_setting_absent(self):
+        """Env-credential login is the bootstrap path on a fresh install and
+        must stay on by default."""
+        master_key = "sk-1234"
+        ui_username = "admin"
+
+        mock_prisma_client = MagicMock()
+        mock_prisma_client.db.litellm_usertable.find_first = AsyncMock(return_value=None)
+
+        with patch.dict(
+            os.environ,
+            {
+                "UI_USERNAME": ui_username,
+                "UI_PASSWORD": master_key,
+                "DATABASE_URL": "postgresql://test:test@localhost/test",
+            },
+            clear=True,
+        ):
+            with ExitStack() as stack:
+                _patch_successful_admin_login_deps(stack)
+                result = await authenticate_user(
+                    username=ui_username,
+                    password=master_key,
+                    master_key=master_key,
+                    prisma_client=mock_prisma_client,
+                    general_settings={},
+                )
+
+        assert isinstance(result, LoginResult)
+        assert result.user_id == LITELLM_PROXY_ADMIN_NAME
+
+
+class TestIsEnvCredentialLoginEnabled:
+    """Drives the Admin UI warning banner: it must be True exactly when a
+    login with the env credentials could actually succeed."""
+
+    def test_enabled_by_default(self):
+        assert is_env_credential_login_enabled({}) is True
+
+    def test_disabled_by_dedicated_setting(self):
+        assert is_env_credential_login_enabled({"disable_env_credential_login": True}) is False
+
+    def test_explicit_false_keeps_it_enabled(self):
+        assert is_env_credential_login_enabled({"disable_env_credential_login": False}) is True
+
+    def test_disabled_when_sso_gate_blocks_all_password_logins(self):
+        """`disable_password_login_when_sso_enabled` with SSO configured
+        rejects every username/password login before the env comparison runs,
+        so the banner must not nag about an already-unreachable path."""
+        with ExitStack() as stack:
+            _patch_sso_configured(stack, configured=True)
+            assert is_env_credential_login_enabled({"disable_password_login_when_sso_enabled": True}) is False
+
+    def test_enabled_when_sso_gate_is_set_but_sso_not_configured(self):
+        with ExitStack() as stack:
+            _patch_sso_configured(stack, configured=False)
+            assert is_env_credential_login_enabled({"disable_password_login_when_sso_enabled": True}) is True
diff --git a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py
index e9e58347337..b06d87ac67e 100644
--- a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py
+++ b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py
@@ -1301,6 +1301,33 @@ def test_health_readiness_details_returns_diagnostic_fields(monkeypatch):
     assert "cache" in response_data
 
 
+@pytest.mark.parametrize(
+    "general_settings, expected_warning",
+    [
+        ({}, True),
+        ({"disable_env_credential_login": True}, False),
+    ],
+)
+def test_health_readiness_details_reports_env_credential_login_warning(monkeypatch, general_settings, expected_warning):
+    """
+    The Admin UI banner is driven by this flag: it must be True while
+    env-credential login is possible and False once
+    `disable_env_credential_login` turns that login path off.
+    """
+    app = FastAPI()
+    app.include_router(_health_endpoints_module.router)
+    app.dependency_overrides[user_api_key_auth] = lambda: UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN)
+    client = TestClient(app)
+
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None)
+    monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", general_settings)
+
+    response = client.get("/health/readiness/details")
+
+    assert response.status_code == 200, response.text
+    assert response.json()["show_env_credential_login_warning"] is expected_warning
+
+
 def test_health_readiness_allows_explicit_legacy_public_details(monkeypatch):
     """
     Operators can explicitly preserve the legacy public readiness payload.
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/healthReadiness/useHealthReadinessDetails.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/healthReadiness/useHealthReadinessDetails.ts
index 307fa9e1691..44d9092df34 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/healthReadiness/useHealthReadinessDetails.ts
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/healthReadiness/useHealthReadinessDetails.ts
@@ -14,6 +14,7 @@ export interface HealthReadinessDetailsResponse {
   log_level?: string;
   is_detailed_debug?: boolean;
   show_no_redis_warning?: boolean;
+  show_env_credential_login_warning?: boolean;
 }
 
 const fetchHealthReadinessDetails = async (accessToken: string): Promise<HealthReadinessDetailsResponse> => {
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/layout.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/layout.test.tsx
index 7f1f4cc4bd5..3fe34610260 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/layout.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/layout.test.tsx
@@ -29,6 +29,10 @@ vi.mock("@/components/NoRedisWarningBanner", () => ({
   NoRedisWarningBanner: () => null,
 }));
 
+vi.mock("@/components/EnvCredentialLoginWarningBanner", () => ({
+  EnvCredentialLoginWarningBanner: () => null,
+}));
+
 vi.mock("@/components/LicenseExpiryBanner", () => ({
   LicenseExpiryBanner: () => null,
 }));
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/layout.tsx b/ui/litellm-dashboard/src/app/(dashboard)/layout.tsx
index 98f2a36d6f3..fa6df7f176a 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/layout.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/layout.tsx
@@ -10,6 +10,7 @@ import SidebarProvider from "@/app/(dashboard)/components/SidebarProvider";
 import { useRouter, useSearchParams } from "next/navigation";
 import { DebugWarningBanner } from "@/components/DebugWarningBanner";
 import { NoRedisWarningBanner } from "@/components/NoRedisWarningBanner";
+import { EnvCredentialLoginWarningBanner } from "@/components/EnvCredentialLoginWarningBanner";
 import { LicenseExpiryBanner } from "@/components/LicenseExpiryBanner";
 import { UserBanner } from "@/components/UserBanner";
 import { uiHref } from "@/utils/uiHref";
@@ -113,6 +114,7 @@ function DashboardShell({ children }: { children: React.ReactNode }) {
         <Navbar accessToken={accessToken} isPublicPage={false} />
         <DebugWarningBanner accessToken={accessToken} />
         <NoRedisWarningBanner accessToken={accessToken} />
+        <EnvCredentialLoginWarningBanner accessToken={accessToken} />
         <LicenseExpiryBanner accessToken={accessToken} />
         <UserBanner accessToken={accessToken} />
         <main className="flex min-h-0 flex-1 overflow-hidden">
@@ -132,6 +134,7 @@ function DashboardShell({ children }: { children: React.ReactNode }) {
         <DashboardHeader />
         <DebugWarningBanner accessToken={accessToken} />
         <NoRedisWarningBanner accessToken={accessToken} />
+        <EnvCredentialLoginWarningBanner accessToken={accessToken} />
         <LicenseExpiryBanner accessToken={accessToken} />
         <UserBanner accessToken={accessToken} />
         <main className="min-w-0 flex-1 overflow-y-auto">{children}</main>
diff --git a/ui/litellm-dashboard/src/components/EnvCredentialLoginWarningBanner.test.tsx b/ui/litellm-dashboard/src/components/EnvCredentialLoginWarningBanner.test.tsx
new file mode 100644
index 00000000000..535694f14da
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/EnvCredentialLoginWarningBanner.test.tsx
@@ -0,0 +1,76 @@
+import { renderWithProviders, screen } from "../../tests/test-utils";
+import { vi } from "vitest";
+import { EnvCredentialLoginWarningBanner } from "./EnvCredentialLoginWarningBanner";
+import type { HealthReadinessDetailsResponse } from "@/app/(dashboard)/hooks/healthReadiness/useHealthReadinessDetails";
+import type { UseQueryResult } from "@tanstack/react-query";
+
+vi.mock("@/app/(dashboard)/hooks/healthReadiness/useHealthReadinessDetails", () => ({
+  useHealthReadinessDetails: vi.fn(),
+}));
+vi.mock("@/contexts/AuthContext", () => ({
+  useAuth: vi.fn(),
+}));
+
+import { useHealthReadinessDetails } from "@/app/(dashboard)/hooks/healthReadiness/useHealthReadinessDetails";
+import { useAuth } from "@/contexts/AuthContext";
+
+const mockDetails = (data: Partial<HealthReadinessDetailsResponse> | undefined) => {
+  vi.mocked(useHealthReadinessDetails).mockReturnValue({ data } as UseQueryResult<HealthReadinessDetailsResponse>);
+};
+
+const mockRole = (userRole: string) => {
+  vi.mocked(useAuth).mockReturnValue({ userRole } as ReturnType<typeof useAuth>);
+};
+
+describe("EnvCredentialLoginWarningBanner", () => {
+  it("should warn an admin when env-credential login is enabled", () => {
+    mockRole("Admin");
+    mockDetails({ status: "healthy", show_env_credential_login_warning: true });
+    renderWithProviders(<EnvCredentialLoginWarningBanner accessToken="token" />);
+    expect(screen.getByRole("alert")).toBeInTheDocument();
+    expect(screen.getByText("Environment-credential login is enabled")).toBeInTheDocument();
+  });
+
+  it("should tell the admin to create a regular admin account before disabling", () => {
+    mockRole("Admin");
+    mockDetails({ status: "healthy", show_env_credential_login_warning: true });
+    renderWithProviders(<EnvCredentialLoginWarningBanner accessToken="token" />);
+    expect(screen.getByText(/First create a regular admin account/i)).toBeInTheDocument();
+    expect(screen.getByText("general_settings.disable_env_credential_login: true")).toBeInTheDocument();
+  });
+
+  it("should warn an admin viewer too", () => {
+    mockRole("Admin Viewer");
+    mockDetails({ status: "healthy", show_env_credential_login_warning: true });
+    renderWithProviders(<EnvCredentialLoginWarningBanner accessToken="token" />);
+    expect(screen.getByRole("alert")).toBeInTheDocument();
+  });
+
+  it("should render nothing for a non-admin even when the proxy reports the warning", () => {
+    mockRole("Internal User");
+    mockDetails({ status: "healthy", show_env_credential_login_warning: true });
+    const { container } = renderWithProviders(<EnvCredentialLoginWarningBanner accessToken="token" />);
+    expect(container).toBeEmptyDOMElement();
+  });
+
+  it("should render nothing when env-credential login is disabled", () => {
+    mockRole("Admin");
+    mockDetails({ status: "healthy", show_env_credential_login_warning: false });
+    const { container } = renderWithProviders(<EnvCredentialLoginWarningBanner accessToken="token" />);
+    expect(container).toBeEmptyDOMElement();
+  });
+
+  it("should render nothing when readiness details are unavailable", () => {
+    mockRole("Admin");
+    mockDetails(undefined);
+    const { container } = renderWithProviders(<EnvCredentialLoginWarningBanner accessToken={null} />);
+    expect(container).toBeEmptyDOMElement();
+  });
+
+  it("should pass the access token to the readiness hook", () => {
+    mockRole("Admin");
+    mockDetails(undefined);
+    renderWithProviders(<EnvCredentialLoginWarningBanner accessToken="my-token" />);
+    expect(useHealthReadinessDetails).toHaveBeenCalledWith("my-token");
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/EnvCredentialLoginWarningBanner.tsx b/ui/litellm-dashboard/src/components/EnvCredentialLoginWarningBanner.tsx
new file mode 100644
index 00000000000..3a9d50011f1
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/EnvCredentialLoginWarningBanner.tsx
@@ -0,0 +1,35 @@
+"use client";
+
+import React from "react";
+import { TriangleAlert } from "lucide-react";
+import { useHealthReadinessDetails } from "@/app/(dashboard)/hooks/healthReadiness/useHealthReadinessDetails";
+import { useAuth } from "@/contexts/AuthContext";
+import { isAdminRole } from "@/utils/roles";
+
+export const EnvCredentialLoginWarningBanner: React.FC<{ accessToken: string | null }> = ({ accessToken }) => {
+  const { userRole } = useAuth();
+  const { data: healthData } = useHealthReadinessDetails(accessToken);
+
+  if (!isAdminRole(userRole) || !healthData?.show_env_credential_login_warning) {
+    return null;
+  }
+
+  return (
+    <div
+      role="alert"
+      className="flex items-start gap-3 border-b border-destructive/40 bg-destructive/10 px-4 py-3 text-sm text-destructive"
+    >
+      <TriangleAlert className="mt-0.5 size-5 shrink-0" aria-hidden="true" />
+      <div>
+        <p className="font-semibold">Environment-credential login is enabled</p>
+        <p>
+          Anyone with <code className="font-mono">UI_USERNAME</code>/<code className="font-mono">UI_PASSWORD</code> (or
+          the master key, when <code className="font-mono">UI_PASSWORD</code> is unset) can sign in as a proxy admin
+          with a shared static secret. First create a regular admin account with its own password, then set{" "}
+          <code className="font-mono">general_settings.disable_env_credential_login: true</code> to turn this login path
+          off.
+        </p>
+      </div>
+    </div>
+  );
+};
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index b1534c19670..dae0af3d3b1 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -25778,6 +25778,11 @@ export interface components {
              * @description If True, disables the optimistic per-request budget reservation introduced in v1.84.0. WARNING: This weakens hard budget enforcement. Without the reservation, a burst of concurrent requests from a single key can each pass the read-time spend check before any of them is charged, allowing a configured budget to be exceeded under high concurrency. Budgets are still evaluated on every request at read time, so an already-exhausted budget is still rejected. Enable only if your deployment is experiencing phantom BudgetExceededError responses caused by leaked reservations (see GitHub issue #27639). A proxy-level WARNING is logged on every request while this flag is active as a reminder that hard enforcement is relaxed.
              */
             disable_budget_reservation?: boolean | null;
+            /**
+             * Disable Env Credential Login
+             * @description If True, disables signing in to the Admin UI with the environment credentials: UI_USERNAME/UI_PASSWORD, or the master key when UI_PASSWORD is unset (that fallback means env-credential login is always live by default). Database users with passwords are unaffected. LOCKOUT RISK: create at least one proxy admin user with a password before enabling, or nobody can sign in to the UI. A locked-out admin can still administer the proxy over the API with the master key, and can unset this setting and restart the proxy to restore env-credential login. Default is False.
+             */
+            disable_env_credential_login?: boolean | null;
             /**
              * Disable Password Login When Sso Enabled
              * @description If True and SSO is configured (MICROSOFT_CLIENT_ID, GOOGLE_CLIENT_ID, GENERIC_CLIENT_ID, or SAML_IDP_METADATA_URL/XML), disables username/password login on /login, /v2/login, and /v3/login so SSO is the only way to reach the Admin UI. An admin locked out of the UI can still administer the proxy over the API with the master key; unset this setting and restart the proxy to restore UI username/password login. Default is False.

From 6c21be619441dbd24879e1f8a4b897c6dbd667fe Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 12:15:06 -0700
Subject: [PATCH 042/223] fix(e2e): clean up batch files reliably and expire
 Azure inputs

---
 tests/e2e/batches/COVERAGE.md                 |  18 ++
 tests/e2e/batches/batch_cleanup.py            |  90 +++++++++
 tests/e2e/batches/batch_client.py             |  16 +-
 tests/e2e/batches/capabilities.py             |   4 +
 tests/e2e/batches/conftest.py                 |  10 +-
 tests/e2e/batches/test_batch_cleanup.py       | 187 ++++++++++++++++++
 tests/e2e/batches/test_batches_e2e.py         |  80 ++++----
 .../test_managed_files_enforcement_e2e.py     |   3 +-
 tests/e2e/lifecycle.py                        |  23 ++-
 9 files changed, 381 insertions(+), 50 deletions(-)
 create mode 100644 tests/e2e/batches/batch_cleanup.py
 create mode 100644 tests/e2e/batches/test_batch_cleanup.py

diff --git a/tests/e2e/batches/COVERAGE.md b/tests/e2e/batches/COVERAGE.md
index 8a7b68511ec..899530dde2b 100644
--- a/tests/e2e/batches/COVERAGE.md
+++ b/tests/e2e/batches/COVERAGE.md
@@ -120,6 +120,24 @@ create traverse gateway -> gateway -> OpenAI (LIT-5347, PR #36240). The pin:
 nested managed ids round-trip retrieve. This self-chaining only needs the proxy to
 reach its own `PROXY_BASE_URL`, which holds both locally and on the e2e stage.
 
+## Cleanup
+
+Batch teardown cancels active batches before deleting their input files and keys.
+Raw file IDs from both `model_param` and `provider_fallback` uploads use the upload
+provider when deleted. Model-encoded and managed file IDs route themselves
+
+File deletion and batch cancellation check their responses and retry transient
+failures up to three times. Teardown attempts every registered cleanup before
+reporting failures as test errors. Already deleted files and batches that are
+terminal are safe to clean up again. Cancellation polls for up to ten minutes
+before input deletion, because accepting cancellation does not finish it
+
+Azure input uploads request `expires_after` anchored to `created_at` with
+`seconds=1209600`, and the lifecycle tests check the returned expiry. This is a
+fallback for interrupted runs: immediate deletion remains the normal cleanup.
+Azure's minimum supported native expiry is 14 days, so a three-day expiry cannot
+be requested through its Files API
+
 ## Terminal state + cost write-back (cross-run marker baton)
 
 The 24h completion window rules out submit-and-wait inside one run, so
diff --git a/tests/e2e/batches/batch_cleanup.py b/tests/e2e/batches/batch_cleanup.py
new file mode 100644
index 00000000000..a5b5e9bba37
--- /dev/null
+++ b/tests/e2e/batches/batch_cleanup.py
@@ -0,0 +1,90 @@
+from collections.abc import Callable
+from time import monotonic, sleep
+from typing import Final, Protocol
+
+from pydantic import BaseModel
+
+from batch_client import BatchObject, FileDeleteResponse
+from e2e_http import NetworkError, RateLimitedError, Result, Success, UnknownApiError
+
+CLEANUP_DELAYS: Final = (1.0, 2.0, 4.0)
+BATCH_TERMINAL_STATUSES: Final = frozenset({"completed", "failed", "expired", "cancelled"})
+BATCH_CANCEL_TIMEOUT_SECONDS: Final = 600.0
+BATCH_CANCEL_POLL_SECONDS: Final = 10.0
+
+
+class BatchCleanupClient(Protocol):
+    def delete_file(self, file_id: str, *, key: str, provider: str | None = None) -> Result[FileDeleteResponse]: ...
+
+    def retrieve_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]: ...
+
+    def cancel_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]: ...
+
+
+def cleanup_result[R: BaseModel](
+    action: Callable[[], Result[R]], *, wait: Callable[[float], None] = sleep
+) -> Result[R]:
+    for delay, result in ((delay, action()) for delay in CLEANUP_DELAYS):
+        match result:
+            case NetworkError() | RateLimitedError():
+                wait(delay)
+            case UnknownApiError(status_code=code) if code in {408, 429, 500, 502, 503, 504}:
+                wait(delay)
+            case _:
+                return result
+    return action()
+
+
+def _require_cleanup_success[R: BaseModel](result: Result[R], operation: str) -> R:
+    match result:
+        case Success(data=data):
+            return data
+        case UnknownApiError(status_code=code):
+            raise AssertionError(f"{operation} failed: HTTP {code}")
+        case _:
+            raise AssertionError(f"{operation} failed: {result.kind}")
+
+
+def cleanup_file(client: BatchCleanupClient, file_id: str, *, key: str, provider: str | None = None) -> None:
+    result: Final = cleanup_result(lambda: client.delete_file(file_id, key=key, provider=provider))
+    if isinstance(result, UnknownApiError) and result.status_code == 404:
+        return
+    deleted: Final = _require_cleanup_success(result, f"Delete file {file_id}")
+    assert deleted.deleted, f"Delete file {file_id} did not confirm deletion"
+
+
+def cleanup_batch(
+    client: BatchCleanupClient,
+    batch_id: str,
+    *,
+    key: str,
+    provider: str | None = None,
+    wait: Callable[[float], None] = sleep,
+    clock: Callable[[], float] = monotonic,
+) -> None:
+    fetched: Final = _require_cleanup_success(
+        cleanup_result(lambda: client.retrieve_batch(batch_id, key=key, provider=provider)),
+        f"Retrieve batch {batch_id} for cleanup",
+    )
+    if fetched.status in BATCH_TERMINAL_STATUSES:
+        return
+    if fetched.status != "cancelling":
+        result: Final = cleanup_result(lambda: client.cancel_batch(batch_id, key=key, provider=provider))
+        if not (isinstance(result, UnknownApiError) and result.status_code in {400, 409}):
+            cancelled: Final = _require_cleanup_success(result, f"Cancel batch {batch_id}")
+            assert cancelled.status in BATCH_TERMINAL_STATUSES | {"cancelling"}, (
+                f"Cancel batch {batch_id} left status {cancelled.status}"
+            )
+    deadline: Final = clock() + BATCH_CANCEL_TIMEOUT_SECONDS
+    while True:
+        current = _require_cleanup_success(
+            cleanup_result(lambda: client.retrieve_batch(batch_id, key=key, provider=provider)),
+            f"Retrieve batch {batch_id} after cancellation",
+        )
+        if current.status in BATCH_TERMINAL_STATUSES:
+            return
+        assert current.status == "cancelling", f"Cancel batch {batch_id} left status {current.status}"
+        assert clock() < deadline, (
+            f"Batch {batch_id} cancellation did not finish within {BATCH_CANCEL_TIMEOUT_SECONDS}s"
+        )
+        wait(BATCH_CANCEL_POLL_SECONDS)
diff --git a/tests/e2e/batches/batch_client.py b/tests/e2e/batches/batch_client.py
index 31e49f22450..84a902b0b11 100644
--- a/tests/e2e/batches/batch_client.py
+++ b/tests/e2e/batches/batch_client.py
@@ -13,8 +13,9 @@ co-located here because only this suite uses them.
 from __future__ import annotations
 
 from dataclasses import dataclass
+from typing import Final, Literal
 
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 from proxy_client import ProxyClient
 from e2e_http import (
@@ -27,6 +28,18 @@ from e2e_http import (
 from models import LiteLLMParamsBody
 
 UPLOAD_FILENAME = "batch_input.jsonl"
+AZURE_FILE_EXPIRY_SECONDS: Final = 14 * 24 * 60 * 60
+
+
+class ExpiringFileUploadForm(FileUploadForm):
+    expires_after_anchor: Literal["created_at"] = Field(default="created_at", alias="expires_after[anchor]")
+    expires_after_seconds: int = Field(default=AZURE_FILE_EXPIRY_SECONDS, alias="expires_after[seconds]")
+
+
+def batch_upload_form(provider: str, *, target_model_names: str | None = None) -> FileUploadForm:
+    if provider == "azure":
+        return ExpiringFileUploadForm(target_model_names=target_model_names)
+    return FileUploadForm(target_model_names=target_model_names)
 
 
 class FileObject(BaseModel):
@@ -37,6 +50,7 @@ class FileObject(BaseModel):
     bytes: int | None = None
     status: str | None = None
     created_at: int | None = None
+    expires_at: int | None = None
 
 
 class FileList(BaseModel):
diff --git a/tests/e2e/batches/capabilities.py b/tests/e2e/batches/capabilities.py
index 1bcea0a61ee..17749c2fb87 100644
--- a/tests/e2e/batches/capabilities.py
+++ b/tests/e2e/batches/capabilities.py
@@ -108,6 +108,10 @@ class Capability:
     def id(self) -> str:
         return f"{self.provider}-{self.scenario}"
 
+    @property
+    def file_provider(self) -> str | None:
+        return self.provider if self.scenario in {"model_param", "provider_fallback"} else None
+
     @property
     def jsonl_model(self) -> str:
         # Always the provider deployment name. Unified routes via
diff --git a/tests/e2e/batches/conftest.py b/tests/e2e/batches/conftest.py
index 3b133fab680..91a365b6b92 100644
--- a/tests/e2e/batches/conftest.py
+++ b/tests/e2e/batches/conftest.py
@@ -13,7 +13,7 @@ the proxy config.
 from __future__ import annotations
 
 import os
-from typing import Iterator
+from typing import Final, Iterator
 
 import pytest
 
@@ -21,6 +21,7 @@ from batch_client import BatchClient, build_client
 from capabilities import PROVIDERS
 from e2e_config import MANAGED_FILES_OPT_IN_ENV
 from e2e_http import NoBody
+from lifecycle import ResourceManager
 from proxy_client import ProxyClient
 
 
@@ -52,6 +53,13 @@ def client(proxy: ProxyClient) -> BatchClient:
     return build_client(proxy)
 
 
+@pytest.fixture
+def resources(client: BatchClient) -> Iterator[ResourceManager]:
+    manager: Final = ResourceManager(client=client.proxy, strict_cleanup=True)
+    yield manager
+    manager.teardown()
+
+
 @pytest.fixture(scope="session")
 def batch_deployments(client: BatchClient) -> Iterator[None]:
     probe = client.proxy.probe("/health/liveliness", params=NoBody())
diff --git a/tests/e2e/batches/test_batch_cleanup.py b/tests/e2e/batches/test_batch_cleanup.py
new file mode 100644
index 00000000000..8ebfd750360
--- /dev/null
+++ b/tests/e2e/batches/test_batch_cleanup.py
@@ -0,0 +1,187 @@
+from builtins import ExceptionGroup
+from collections.abc import Iterator
+from dataclasses import dataclass, field
+from typing import Final
+
+import pytest
+
+from batch_cleanup import BATCH_CANCEL_TIMEOUT_SECONDS, CLEANUP_DELAYS, cleanup_batch, cleanup_file, cleanup_result
+from batch_client import AZURE_FILE_EXPIRY_SECONDS, BatchObject, FileDeleteResponse, batch_upload_form
+from capabilities import CAPABILITIES, Capability
+from e2e_http import NetworkError, RateLimitedError, Result, Success, UnknownApiError
+from lifecycle import ResourceManager
+from models import KeyGenerateBody
+
+
+@dataclass
+class CleanupClient:
+    files: Iterator[Result[FileDeleteResponse]] = field(default_factory=lambda: iter(()))
+    batches: Iterator[Result[BatchObject]] = field(default_factory=lambda: iter(()))
+    cancellations: Iterator[Result[BatchObject]] = field(default_factory=lambda: iter(()))
+    calls: list[str] = field(default_factory=list)
+
+    def delete_file(self, file_id: str, *, key: str, provider: str | None = None) -> Result[FileDeleteResponse]:
+        self.calls.append(f"delete {provider} {file_id}")
+        return next(self.files)
+
+    def retrieve_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]:
+        self.calls.append(f"retrieve {provider} {batch_id}")
+        return next(self.batches)
+
+    def cancel_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]:
+        self.calls.append(f"cancel {provider} {batch_id}")
+        return next(self.cancellations)
+
+    def generate_key(self, body: KeyGenerateBody) -> str:
+        return "test-key"
+
+    def delete_key(self, key: str) -> None:
+        self.calls.append(f"delete key {key}")
+
+    def delete_customers(self, user_ids: list[str]) -> None:
+        self.calls.append(f"delete customers {user_ids}")
+
+
+def batch(status: str) -> Success[BatchObject]:
+    return Success(status_code=200, data=BatchObject(id="batch-1", status=status))
+
+
+def deleted_file(*, deleted: bool = True) -> Success[FileDeleteResponse]:
+    return Success(status_code=200, data=FileDeleteResponse(id="file-1", deleted=deleted))
+
+
+class TestFileCleanup:
+    @pytest.mark.parametrize("cap", CAPABILITIES, ids=[cap.id for cap in CAPABILITIES])
+    def test_deletes_raw_files_through_the_upload_provider(self, cap: Capability) -> None:
+        client: Final = CleanupClient(files=iter((deleted_file(),)))
+        cleanup_file(client, "file-1", key="test-key", provider=cap.file_provider)
+        expected_provider: Final = cap.provider if cap.scenario in {"model_param", "provider_fallback"} else None
+        assert client.calls == [f"delete {expected_provider} file-1"]
+
+    def test_failed_delete_is_reported_after_remaining_resources_are_cleaned(self) -> None:
+        client: Final = CleanupClient(files=iter((UnknownApiError(status_code=403, body="secret response"),)))
+        manager: Final = ResourceManager(client=client, strict_cleanup=True)
+        key: Final = manager.key()
+        manager.defer(lambda: cleanup_file(client, "file-1", key=key, provider="azure"))
+        with pytest.raises(ExceptionGroup) as caught:
+            manager.teardown()
+        assert client.calls == ["delete azure file-1", "delete key test-key"]
+        assert len(caught.value.exceptions) == 1
+        assert str(caught.value.exceptions[0]) == "Delete file file-1 failed: HTTP 403"
+
+    def test_success_response_must_confirm_deletion(self) -> None:
+        client: Final = CleanupClient(files=iter((deleted_file(deleted=False),)))
+        with pytest.raises(AssertionError, match="did not confirm deletion"):
+            cleanup_file(client, "file-1", key="test-key")
+
+    def test_cleanup_is_idempotent_when_file_is_already_deleted(self) -> None:
+        client: Final = CleanupClient(files=iter((UnknownApiError(status_code=404, body="missing"),)))
+        cleanup_file(client, "file-1", key="test-key", provider="azure")
+        assert client.calls == ["delete azure file-1"]
+
+    def test_default_resource_cleanup_keeps_existing_best_effort_behavior(self) -> None:
+        client: Final = CleanupClient(files=iter((UnknownApiError(status_code=403, body="forbidden"),)))
+        manager: Final = ResourceManager(client=client)
+        key: Final = manager.key()
+        manager.defer(lambda: cleanup_file(client, "file-1", key=key))
+        manager.teardown()
+        assert client.calls == ["delete None file-1", "delete key test-key"]
+
+
+class TestCleanupRetries:
+    @pytest.mark.parametrize(
+        "failure",
+        [NetworkError(message="offline"), RateLimitedError(), UnknownApiError(status_code=503, body="unavailable")],
+    )
+    def test_transient_error_retries_and_returns_success(self, failure: Result[FileDeleteResponse]) -> None:
+        outcomes: Final = iter((failure, deleted_file()))
+        delays: Final[list[float]] = []
+        result: Final[Result[FileDeleteResponse]] = cleanup_result(lambda: next(outcomes), wait=delays.append)
+        assert isinstance(result, Success) and result.data.deleted
+        assert delays == [1.0]
+
+    def test_persistent_error_has_bounded_retries(self) -> None:
+        failure: Final = UnknownApiError(status_code=503, body="unavailable")
+        outcomes: Final[Iterator[Result[FileDeleteResponse]]] = iter((failure,) * (len(CLEANUP_DELAYS) + 1))
+        delays: Final[list[float]] = []
+        result: Final[Result[FileDeleteResponse]] = cleanup_result(lambda: next(outcomes), wait=delays.append)
+        assert result is failure
+        assert tuple(delays) == CLEANUP_DELAYS
+        assert next(outcomes, None) is None
+
+    def test_permanent_error_is_not_retried(self) -> None:
+        failure: Final = UnknownApiError(status_code=403, body="forbidden")
+        outcomes: Final = iter((failure, deleted_file()))
+        delays: Final[list[float]] = []
+        assert cleanup_result(lambda: next(outcomes), wait=delays.append) is failure
+        assert delays == []
+        assert isinstance(next(outcomes), Success)
+
+
+class TestBatchCancellation:
+    def test_cancelling_batch_is_polled_until_terminal_without_cancelling_again(self) -> None:
+        client: Final = CleanupClient(batches=iter((batch("cancelling"), batch("cancelling"), batch("cancelled"))))
+        delays: Final[list[float]] = []
+        cleanup_batch(client, "batch-1", key="test-key", wait=delays.append)
+        assert client.calls == ["retrieve None batch-1"] * 3
+        assert delays == [10.0]
+
+    def test_cancellation_timeout_is_reported_but_file_and_key_cleanup_still_run(self) -> None:
+        client: Final = CleanupClient(
+            batches=iter((batch("cancelling"), batch("cancelling"))), files=iter((deleted_file(),))
+        )
+        ticks: Final = iter((0.0, BATCH_CANCEL_TIMEOUT_SECONDS))
+        manager: Final = ResourceManager(client=client, strict_cleanup=True)
+        key: Final = manager.key()
+        manager.defer(lambda: cleanup_file(client, "file-1", key=key))
+        manager.defer(lambda: cleanup_batch(client, "batch-1", key=key, clock=lambda: next(ticks)))
+        with pytest.raises(ExceptionGroup) as caught:
+            manager.teardown()
+        assert "cancellation did not finish" in str(caught.value.exceptions[0])
+        assert client.calls == [
+            "retrieve None batch-1",
+            "retrieve None batch-1",
+            "delete None file-1",
+            "delete key test-key",
+        ]
+
+    @pytest.mark.parametrize("status", ["completed", "failed", "expired", "cancelled"])
+    def test_inactive_batch_needs_no_cancellation(self, status: str) -> None:
+        client: Final = CleanupClient(batches=iter((batch(status),)))
+        cleanup_batch(client, "batch-1", key="test-key")
+        assert client.calls == ["retrieve None batch-1"]
+
+    def test_active_batch_is_cancelled_through_its_provider(self) -> None:
+        client: Final = CleanupClient(
+            batches=iter((batch("in_progress"), batch("cancelled"))), cancellations=iter((batch("cancelling"),))
+        )
+        cleanup_batch(client, "batch-1", key="test-key", provider="azure")
+        assert client.calls == ["retrieve azure batch-1", "cancel azure batch-1", "retrieve azure batch-1"]
+
+    @pytest.mark.parametrize("status", ["completed", "in_progress"])
+    def test_cancellation_conflict_is_accepted_only_when_batch_became_inactive(self, status: str) -> None:
+        client: Final = CleanupClient(
+            batches=iter((batch("in_progress"), batch(status))),
+            cancellations=iter((UnknownApiError(status_code=409, body="conflict"),)),
+        )
+        if status == "completed":
+            cleanup_batch(client, "batch-1", key="test-key")
+        else:
+            with pytest.raises(AssertionError, match="Cancel batch batch-1 left status in_progress"):
+                cleanup_batch(client, "batch-1", key="test-key")
+        assert client.calls == ["retrieve None batch-1", "cancel None batch-1", "retrieve None batch-1"]
+
+
+class TestAzureFileExpiry:
+    def test_azure_form_serializes_native_expiry_for_the_proxy(self) -> None:
+        form: Final = batch_upload_form("azure", target_model_names="azure-test")
+        assert form.model_dump(by_alias=True, exclude_none=True) == {
+            "purpose": "batch",
+            "target_model_names": "azure-test",
+            "expires_after[anchor]": "created_at",
+            "expires_after[seconds]": AZURE_FILE_EXPIRY_SECONDS,
+        }
+
+    @pytest.mark.parametrize("provider", ["openai", "vertex_ai", "bedrock"])
+    def test_other_providers_keep_their_existing_upload_fields(self, provider: str) -> None:
+        assert batch_upload_form(provider).model_dump(by_alias=True, exclude_none=True) == {"purpose": "batch"}
diff --git a/tests/e2e/batches/test_batches_e2e.py b/tests/e2e/batches/test_batches_e2e.py
index ed7cf656d01..1b4a6ed266f 100644
--- a/tests/e2e/batches/test_batches_e2e.py
+++ b/tests/e2e/batches/test_batches_e2e.py
@@ -21,14 +21,16 @@ import os
 import re
 import time
 from datetime import datetime, timedelta, timezone
-from typing import Callable
 
 import pytest
 from pydantic import BaseModel
 
 from e2e_config import PROXY_BASE_URL, unique_marker
 
+from batch_cleanup import cleanup_batch, cleanup_file
 from batch_client import (
+    AZURE_FILE_EXPIRY_SECONDS,
+    batch_upload_form,
     UPLOAD_FILENAME,
     BatchClient,
     BatchCreateBody,
@@ -155,19 +157,19 @@ def upload_for_scenario(
     if cap.scenario == "encoded":
         return client.upload_file(
             content=content,
-            form=FileUploadForm(purpose="batch"),
+            form=batch_upload_form(cap.provider),
             model=cap.model,
             key=key,
         )
     if cap.scenario == "unified":
         return client.upload_file(
             content=content,
-            form=FileUploadForm(purpose="batch", target_model_names=cap.model),
+            form=batch_upload_form(cap.provider, target_model_names=cap.model),
             key=key,
         )
     return client.upload_file(
         content=content,
-        form=FileUploadForm(purpose="batch"),
+        form=batch_upload_form(cap.provider),
         key=key,
         provider=cap.provider,
     )
@@ -188,20 +190,11 @@ def create_for_scenario(
 
 
 def op_provider(cap: Capability) -> str | None:
-    """provider_fallback ids are raw, so retrieve/cancel/list/delete need the provider
+    """provider_fallback batch ids are raw, so retrieve/cancel/list need the provider
     hint; the other scenarios encode it into the id and route automatically."""
     return cap.provider if cap.scenario == "provider_fallback" else None
 
 
-def quietly(action: Callable[[], object]) -> Callable[[], None]:
-    """Adapt a value-returning call into a best-effort cleanup the teardown can run."""
-
-    def run() -> None:
-        action()
-
-    return run
-
-
 def assert_file_object(file: FileObject, *, provider: str) -> None:
     assert file.object == "file", f"file.object={file.object!r}"
     assert file.purpose == "batch", f"file.purpose={file.purpose!r}"
@@ -209,6 +202,10 @@ def assert_file_object(file: FileObject, *, provider: str) -> None:
     if provider != "bedrock":
         assert file.bytes > 0, f"file.bytes={file.bytes!r}"
     assert file.status, "file.status missing"
+    if provider == "azure":
+        assert file.expires_at is not None, "Azure batch input has no automatic expiry"
+        assert file.created_at is not None
+        assert file.expires_at - file.created_at == AZURE_FILE_EXPIRY_SECONDS
     assert (
         file.created_at is not None and file.created_at > 0
     ), "file.created_at missing"
@@ -249,7 +246,7 @@ def test_batch_lifecycle(
 
     file = unwrap(upload_for_scenario(client, cap, render_jsonl(cap.jsonl_model), key))
     resources.defer(
-        quietly(lambda: client.delete_file(file.id, key=key, provider=provider))
+        lambda: cleanup_file(client, file.id, key=key, provider=cap.file_provider)
     )
     assert_file_object(file, provider=cap.provider)
     assert matches_id_shape(
@@ -260,7 +257,7 @@ def test_batch_lifecycle(
     require_successful_call(created)
     batch = BatchObject.model_validate_json(created.body)
     resources.defer(
-        quietly(lambda: client.cancel_batch(batch.id, key=key, provider=provider))
+        lambda: cleanup_batch(client, batch.id, key=key, provider=provider)
     )
 
     assert batch.id, f"create returned no batch id (body={created.body[:200]})"
@@ -339,7 +336,7 @@ def test_batch_key_model_access_denied(
 
     denied_upload = client.upload_file(
         content=render_jsonl(AZURE_BATCH_MODEL),
-        form=FileUploadForm(purpose="batch"),
+        form=batch_upload_form("azure"),
         model=AZURE_BATCH_MODEL,
         key=key,
     )
@@ -356,7 +353,7 @@ def test_batch_key_model_access_denied(
         )
     ).id
     resources.defer(
-        quietly(lambda: client.delete_file(raw_file, key=key, provider="openai"))
+        lambda: cleanup_file(client, raw_file, key=key, provider="openai")
     )
 
     denied_create = client.create_batch(
@@ -383,6 +380,7 @@ def test_file_upload_and_delete_outputs(
             key=key,
         )
     )
+    resources.defer(lambda: cleanup_file(client, file.id, key=key))
     assert_file_object(file, provider="openai")
 
     deleted = unwrap(client.delete_file(file.id, key=key))
@@ -458,12 +456,12 @@ def test_rate_limited_batch_create_leaves_no_unattributed_spend_row(
             key=key,
         )
     )
-    resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+    resources.defer(lambda: cleanup_file(client, file.id, key=key))
 
     created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
     require_successful_call(created)
     batch = BatchObject.model_validate_json(created.body)
-    resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key)))
+    resources.defer(lambda: cleanup_batch(client, batch.id, key=key))
 
     _ = client.proxy.poll_logs_for_key(key, min_rows=1)
 
@@ -517,7 +515,7 @@ class TestBatchFileContent:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
         assert file.id
 
         downloaded = client.proxy.transport.download(
@@ -559,11 +557,11 @@ class TestBatchFileContent:
         file = unwrap(
             client.upload_file(
                 content=payload,
-                form=FileUploadForm(purpose="batch", target_model_names=provider.model),
+                form=batch_upload_form(provider.name, target_model_names=provider.model),
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
         assert_file_object(file, provider=provider.name)
         assert is_managed_id(file.id), (
             f"{provider.name}: unified upload must return a managed file id, got {file.id!r}"
@@ -626,7 +624,7 @@ class TestOpenAIFiles:
             )
         )
         resources.defer(
-            quietly(lambda: client.delete_file(file.id, key=key, provider="openai"))
+            lambda: cleanup_file(client, file.id, key=key, provider="openai")
         )
 
         listed = unwrap(client.list_files(key=key))
@@ -690,7 +688,7 @@ class TestOpenAIFiles:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
 
         fetched = unwrap(client.retrieve_file(file.id, key=key))
         assert fetched.id == file.id, "retrieve must echo the uploaded file id"
@@ -760,7 +758,7 @@ class TestBatchRateLimitErrorMapping:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
 
         created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
 
@@ -813,7 +811,7 @@ class TestBatchEnqueuedTokenLimit:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
         return file
 
     def _generate_enqueued_key(
@@ -861,7 +859,7 @@ class TestBatchEnqueuedTokenLimit:
         )
         require_successful_call(created)
         batch = BatchObject.model_validate_json(created.body)
-        resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key)))
+        resources.defer(lambda: cleanup_batch(client, batch.id, key=key))
 
     @pytest.mark.covers(
         "quota_management.ratelimit.batch_enqueued_tokens.blocks_when_exhausted",
@@ -904,7 +902,7 @@ class TestBatchEnqueuedTokenLimit:
         first = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
         require_successful_call(first)
         first_batch = BatchObject.model_validate_json(first.body)
-        resources.defer(quietly(lambda: client.cancel_batch(first_batch.id, key=key)))
+        resources.defer(lambda: cleanup_batch(client, first_batch.id, key=key))
 
         blocked = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
         assert blocked.status_code == 429, (
@@ -928,7 +926,7 @@ class TestBatchEnqueuedTokenLimit:
         )
         require_successful_call(retried)
         retry_batch = BatchObject.model_validate_json(retried.body)
-        resources.defer(quietly(lambda: client.cancel_batch(retry_batch.id, key=key)))
+        resources.defer(lambda: cleanup_batch(client, retry_batch.id, key=key))
 
 
 ASSUME_ROLE_RAW_MODEL = "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0"
@@ -984,13 +982,13 @@ class TestBedrockBatchAssumeRole:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
         assert_file_object(file, provider="bedrock")
 
         created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
         require_successful_call(created)
         batch = BatchObject.model_validate_json(created.body)
-        resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key)))
+        resources.defer(lambda: cleanup_batch(client, batch.id, key=key))
 
         assert batch.id, f"assume-role create returned no batch id: {created.body[:200]}"
         assert is_managed_id(batch.id), (
@@ -1044,7 +1042,7 @@ class TestGeminiFiles:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
         assert_file_object(file, provider="gemini")
         assert file.id, "gemini file upload returned no id"
 
@@ -1099,13 +1097,13 @@ class TestHostedVllmBatch:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
         assert_file_object(file, provider="hosted_vllm")
 
         created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
         require_successful_call(created)
         batch = BatchObject.model_validate_json(created.body)
-        resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key)))
+        resources.defer(lambda: cleanup_batch(client, batch.id, key=key))
 
         assert batch.id, f"hosted_vllm create returned no batch id: {created.body[:200]}"
         assert batch.status in CREATED_BATCH_STATUSES, (
@@ -1192,7 +1190,7 @@ class TestBatchFailurePaths:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
 
         created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
         require_successful_call(created)
@@ -1243,12 +1241,12 @@ class TestBatchFailurePaths:
         file = unwrap(
             client.upload_file(
                 content=render_jsonl(AZURE_BATCH_RAW_MODEL),
-                form=FileUploadForm(purpose="batch"),
+                form=batch_upload_form("azure"),
                 model=AZURE_BATCH_MODEL,
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
         assert decoded_model_from_id(file.id) == AZURE_BATCH_MODEL, (
             f"upload did not encode the azure deployment into the file id: {file.id!r}"
         )
@@ -1258,7 +1256,7 @@ class TestBatchFailurePaths:
         )
         require_successful_call(created)
         batch = BatchObject.model_validate_json(created.body)
-        resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key)))
+        resources.defer(lambda: cleanup_batch(client, batch.id, key=key))
 
         assert decoded_model_from_id(batch.id) == AZURE_BATCH_MODEL, (
             "create with a foreign encoded file id must route by the file's embedded model, "
@@ -1307,7 +1305,7 @@ class TestBatchSecondHop:
                 key=key,
             )
         )
-        resources.defer(quietly(lambda: client.delete_file(file.id, key=key)))
+        resources.defer(lambda: cleanup_file(client, file.id, key=key))
         assert is_managed_id(file.id), (
             f"second-hop unified upload must return a managed file id, got {file.id!r}"
         )
@@ -1315,7 +1313,7 @@ class TestBatchSecondHop:
         created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
         require_successful_call(created)
         batch = BatchObject.model_validate_json(created.body)
-        resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key)))
+        resources.defer(lambda: cleanup_batch(client, batch.id, key=key))
 
         assert is_managed_id(batch.id), (
             f"second-hop create must return a managed batch id, got {batch.id!r}"
diff --git a/tests/e2e/batches/test_managed_files_enforcement_e2e.py b/tests/e2e/batches/test_managed_files_enforcement_e2e.py
index 7ad0b16adc3..4f703cf0fdc 100644
--- a/tests/e2e/batches/test_managed_files_enforcement_e2e.py
+++ b/tests/e2e/batches/test_managed_files_enforcement_e2e.py
@@ -21,6 +21,7 @@ from typing import Iterator
 import pytest
 
 from batch_client import BatchClient, FileObject
+from batch_cleanup import cleanup_file
 from capabilities import batch_model_name, is_managed_id, openai_batch_params
 from e2e_config import unique_marker
 from e2e_http import FileUploadForm, Result, UnknownApiError, unwrap
@@ -108,7 +109,7 @@ def test_cross_user_managed_id_denied_owner_allowed(
             key=owner_key,
         )
     )
-    resources.defer(lambda: client.delete_file(uploaded.id, key=owner_key))
+    resources.defer(lambda: cleanup_file(client, uploaded.id, key=owner_key))
     assert is_managed_id(uploaded.id), f"expected a managed unified file id, got {uploaded.id}"
 
     denied = client.retrieve_file(uploaded.id, key=other_key)
diff --git a/tests/e2e/lifecycle.py b/tests/e2e/lifecycle.py
index c9a67ebdb8c..eb9704d4dcb 100644
--- a/tests/e2e/lifecycle.py
+++ b/tests/e2e/lifecycle.py
@@ -8,8 +8,9 @@ ResourceManager; the test registers a cleanup for every resource it creates, and
 the fixture's teardown releases them all even when the test body raises.
 """
 
+from builtins import ExceptionGroup
 from dataclasses import dataclass, field
-from typing import Callable, List, Protocol, runtime_checkable
+from typing import Callable, Final, List, Protocol, runtime_checkable
 
 from proxy_client import ProxyClient
 from models import KeyGenerateBody
@@ -52,6 +53,7 @@ class ResourceManager:
     """
 
     client: ResourceClient
+    strict_cleanup: bool = False
     _cleanups: List[Callable[[], object]] = field(
         default_factory=list
     )  # mutable-ok: append-only teardown registry
@@ -82,8 +84,17 @@ class ResourceManager:
         return customer_id
 
     def teardown(self) -> None:
-        for cleanup in reversed(self._cleanups):
-            try:
-                cleanup()
-            except Exception:
-                pass  # best-effort: a failed cleanup must not block the rest
+        failures: Final = tuple(
+            failure for cleanup in reversed(self._cleanups)
+            if (failure := _run_cleanup(cleanup)) is not None
+        )
+        if failures and self.strict_cleanup:
+            raise ExceptionGroup("Resource cleanup failed", failures)
+
+
+def _run_cleanup(cleanup: Callable[[], object]) -> Exception | None:
+    try:
+        cleanup()
+    except Exception as exc:
+        return exc
+    return None

From a56c60e8924f6f956200c816142fb0cb994fa3ed Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 12:27:51 -0700
Subject: [PATCH 043/223] fix(e2e): wait for managed batch cancellation before
 deleting inputs

---
 tests/e2e/batches/COVERAGE.md           |  5 +++--
 tests/e2e/batches/batch_cleanup.py      | 10 +++++++++-
 tests/e2e/batches/test_batch_cleanup.py | 14 ++++++++------
 3 files changed, 20 insertions(+), 9 deletions(-)

diff --git a/tests/e2e/batches/COVERAGE.md b/tests/e2e/batches/COVERAGE.md
index 899530dde2b..69ba9d781ec 100644
--- a/tests/e2e/batches/COVERAGE.md
+++ b/tests/e2e/batches/COVERAGE.md
@@ -129,8 +129,9 @@ provider when deleted. Model-encoded and managed file IDs route themselves
 File deletion and batch cancellation check their responses and retry transient
 failures up to three times. Teardown attempts every registered cleanup before
 reporting failures as test errors. Already deleted files and batches that are
-terminal are safe to clean up again. Cancellation polls for up to ten minutes
-before input deletion, because accepting cancellation does not finish it
+terminal are safe to clean up again. Managed batch cancellation polls for up to eleven minutes
+before input deletion: the ten-minute provider window plus a propagation margin.
+Raw and model-encoded inputs can be deleted after cancellation is accepted
 
 Azure input uploads request `expires_after` anchored to `created_at` with
 `seconds=1209600`, and the lifecycle tests check the returned expiry. This is a
diff --git a/tests/e2e/batches/batch_cleanup.py b/tests/e2e/batches/batch_cleanup.py
index a5b5e9bba37..dd79c776758 100644
--- a/tests/e2e/batches/batch_cleanup.py
+++ b/tests/e2e/batches/batch_cleanup.py
@@ -5,11 +5,12 @@ from typing import Final, Protocol
 from pydantic import BaseModel
 
 from batch_client import BatchObject, FileDeleteResponse
+from capabilities import is_managed_id
 from e2e_http import NetworkError, RateLimitedError, Result, Success, UnknownApiError
 
 CLEANUP_DELAYS: Final = (1.0, 2.0, 4.0)
 BATCH_TERMINAL_STATUSES: Final = frozenset({"completed", "failed", "expired", "cancelled"})
-BATCH_CANCEL_TIMEOUT_SECONDS: Final = 600.0
+BATCH_CANCEL_TIMEOUT_SECONDS: Final = 660.0
 BATCH_CANCEL_POLL_SECONDS: Final = 10.0
 
 
@@ -62,12 +63,15 @@ def cleanup_batch(
     wait: Callable[[float], None] = sleep,
     clock: Callable[[], float] = monotonic,
 ) -> None:
+    needs_terminal_state: Final = is_managed_id(batch_id)
     fetched: Final = _require_cleanup_success(
         cleanup_result(lambda: client.retrieve_batch(batch_id, key=key, provider=provider)),
         f"Retrieve batch {batch_id} for cleanup",
     )
     if fetched.status in BATCH_TERMINAL_STATUSES:
         return
+    if fetched.status == "cancelling" and not needs_terminal_state:
+        return
     if fetched.status != "cancelling":
         result: Final = cleanup_result(lambda: client.cancel_batch(batch_id, key=key, provider=provider))
         if not (isinstance(result, UnknownApiError) and result.status_code in {400, 409}):
@@ -75,6 +79,8 @@ def cleanup_batch(
             assert cancelled.status in BATCH_TERMINAL_STATUSES | {"cancelling"}, (
                 f"Cancel batch {batch_id} left status {cancelled.status}"
             )
+            if not needs_terminal_state:
+                return
     deadline: Final = clock() + BATCH_CANCEL_TIMEOUT_SECONDS
     while True:
         current = _require_cleanup_success(
@@ -84,6 +90,8 @@ def cleanup_batch(
         if current.status in BATCH_TERMINAL_STATUSES:
             return
         assert current.status == "cancelling", f"Cancel batch {batch_id} left status {current.status}"
+        if not needs_terminal_state:
+            return
         assert clock() < deadline, (
             f"Batch {batch_id} cancellation did not finish within {BATCH_CANCEL_TIMEOUT_SECONDS}s"
         )
diff --git a/tests/e2e/batches/test_batch_cleanup.py b/tests/e2e/batches/test_batch_cleanup.py
index 8ebfd750360..9715370d9b7 100644
--- a/tests/e2e/batches/test_batch_cleanup.py
+++ b/tests/e2e/batches/test_batch_cleanup.py
@@ -12,6 +12,8 @@ from e2e_http import NetworkError, RateLimitedError, Result, Success, UnknownApi
 from lifecycle import ResourceManager
 from models import KeyGenerateBody
 
+MANAGED_BATCH_ID: Final = "bGl0ZWxsbV9wcm94eTtiYXRjaC0x"
+
 
 @dataclass
 class CleanupClient:
@@ -122,8 +124,8 @@ class TestBatchCancellation:
     def test_cancelling_batch_is_polled_until_terminal_without_cancelling_again(self) -> None:
         client: Final = CleanupClient(batches=iter((batch("cancelling"), batch("cancelling"), batch("cancelled"))))
         delays: Final[list[float]] = []
-        cleanup_batch(client, "batch-1", key="test-key", wait=delays.append)
-        assert client.calls == ["retrieve None batch-1"] * 3
+        cleanup_batch(client, MANAGED_BATCH_ID, key="test-key", wait=delays.append)
+        assert client.calls == [f"retrieve None {MANAGED_BATCH_ID}"] * 3
         assert delays == [10.0]
 
     def test_cancellation_timeout_is_reported_but_file_and_key_cleanup_still_run(self) -> None:
@@ -134,13 +136,13 @@ class TestBatchCancellation:
         manager: Final = ResourceManager(client=client, strict_cleanup=True)
         key: Final = manager.key()
         manager.defer(lambda: cleanup_file(client, "file-1", key=key))
-        manager.defer(lambda: cleanup_batch(client, "batch-1", key=key, clock=lambda: next(ticks)))
+        manager.defer(lambda: cleanup_batch(client, MANAGED_BATCH_ID, key=key, clock=lambda: next(ticks)))
         with pytest.raises(ExceptionGroup) as caught:
             manager.teardown()
         assert "cancellation did not finish" in str(caught.value.exceptions[0])
         assert client.calls == [
-            "retrieve None batch-1",
-            "retrieve None batch-1",
+            f"retrieve None {MANAGED_BATCH_ID}",
+            f"retrieve None {MANAGED_BATCH_ID}",
             "delete None file-1",
             "delete key test-key",
         ]
@@ -156,7 +158,7 @@ class TestBatchCancellation:
             batches=iter((batch("in_progress"), batch("cancelled"))), cancellations=iter((batch("cancelling"),))
         )
         cleanup_batch(client, "batch-1", key="test-key", provider="azure")
-        assert client.calls == ["retrieve azure batch-1", "cancel azure batch-1", "retrieve azure batch-1"]
+        assert client.calls == ["retrieve azure batch-1", "cancel azure batch-1"]
 
     @pytest.mark.parametrize("status", ["completed", "in_progress"])
     def test_cancellation_conflict_is_accepted_only_when_batch_became_inactive(self, status: str) -> None:

From 6bdf206cc5228e85b47c908a2f4977374656289b Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 12:48:07 -0700
Subject: [PATCH 044/223] fix(e2e): accept managed file deletion responses

---
 tests/e2e/batches/COVERAGE.md           |  3 +++
 tests/e2e/batches/batch_cleanup.py      |  4 +++-
 tests/e2e/batches/batch_client.py       |  2 +-
 tests/e2e/batches/test_batch_cleanup.py | 15 +++++++++++++++
 4 files changed, 22 insertions(+), 2 deletions(-)

diff --git a/tests/e2e/batches/COVERAGE.md b/tests/e2e/batches/COVERAGE.md
index 69ba9d781ec..f95ea1f2649 100644
--- a/tests/e2e/batches/COVERAGE.md
+++ b/tests/e2e/batches/COVERAGE.md
@@ -139,6 +139,9 @@ fallback for interrupted runs: immediate deletion remains the normal cleanup.
 Azure's minimum supported native expiry is 14 days, so a three-day expiry cannot
 be requested through its Files API
 
+The Azure entry in `files_settings` must use `api_version: 2025-04-01-preview`
+for raw uploads to honor expiry, matching the batch deployment's API version
+
 ## Terminal state + cost write-back (cross-run marker baton)
 
 The 24h completion window rules out submit-and-wait inside one run, so
diff --git a/tests/e2e/batches/batch_cleanup.py b/tests/e2e/batches/batch_cleanup.py
index dd79c776758..3fd6802f696 100644
--- a/tests/e2e/batches/batch_cleanup.py
+++ b/tests/e2e/batches/batch_cleanup.py
@@ -51,7 +51,9 @@ def cleanup_file(client: BatchCleanupClient, file_id: str, *, key: str, provider
     if isinstance(result, UnknownApiError) and result.status_code == 404:
         return
     deleted: Final = _require_cleanup_success(result, f"Delete file {file_id}")
-    assert deleted.deleted, f"Delete file {file_id} did not confirm deletion"
+    assert deleted.deleted is True or (
+        deleted.deleted is None and is_managed_id(file_id) and deleted.id == file_id and deleted.object == "file"
+    ), f"Delete file {file_id} did not confirm deletion"
 
 
 def cleanup_batch(
diff --git a/tests/e2e/batches/batch_client.py b/tests/e2e/batches/batch_client.py
index 84a902b0b11..c9c77e1f12e 100644
--- a/tests/e2e/batches/batch_client.py
+++ b/tests/e2e/batches/batch_client.py
@@ -99,7 +99,7 @@ class BatchList(BaseModel):
 class FileDeleteResponse(BaseModel):
     id: str
     object: str | None = None
-    deleted: bool
+    deleted: bool | None = None
 
 
 class BatchCreateBody(BaseModel):
diff --git a/tests/e2e/batches/test_batch_cleanup.py b/tests/e2e/batches/test_batch_cleanup.py
index 9715370d9b7..15dead6d36d 100644
--- a/tests/e2e/batches/test_batch_cleanup.py
+++ b/tests/e2e/batches/test_batch_cleanup.py
@@ -12,6 +12,7 @@ from e2e_http import NetworkError, RateLimitedError, Result, Success, UnknownApi
 from lifecycle import ResourceManager
 from models import KeyGenerateBody
 
+MANAGED_FILE_ID: Final = "bGl0ZWxsbV9wcm94eTtmaWxlLTE="
 MANAGED_BATCH_ID: Final = "bGl0ZWxsbV9wcm94eTtiYXRjaC0x"
 
 
@@ -53,6 +54,20 @@ def deleted_file(*, deleted: bool = True) -> Success[FileDeleteResponse]:
 
 
 class TestFileCleanup:
+    def test_managed_delete_accepts_the_deleted_file_object(self) -> None:
+        response: Final = Success(
+            status_code=200, data=FileDeleteResponse.model_validate({"id": MANAGED_FILE_ID, "object": "file"})
+        )
+        client: Final = CleanupClient(files=iter((response,)))
+        cleanup_file(client, MANAGED_FILE_ID, key="test-key")
+        assert client.calls == [f"delete None {MANAGED_FILE_ID}"]
+
+    @pytest.mark.parametrize("file_id", ["file-1", MANAGED_FILE_ID])
+    def test_a_success_status_without_a_deletion_confirmation_is_rejected(self, file_id: str) -> None:
+        client: Final = CleanupClient(files=iter((Success(status_code=200, data=FileDeleteResponse(id=file_id)),)))
+        with pytest.raises(AssertionError, match="did not confirm deletion"):
+            cleanup_file(client, file_id, key="test-key")
+
     @pytest.mark.parametrize("cap", CAPABILITIES, ids=[cap.id for cap in CAPABILITIES])
     def test_deletes_raw_files_through_the_upload_provider(self, cap: Capability) -> None:
         client: Final = CleanupClient(files=iter((deleted_file(),)))

From a096dd615c71e40be9473338ffeb8d1c17284f51 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 14:39:25 -0700
Subject: [PATCH 045/223] refactor(e2e): use immutable batch cleanup test
 expectations

---
 tests/e2e/batches/batch_cleanup.py      |   7 +-
 tests/e2e/batches/test_batch_cleanup.py | 137 ++++++++++++++++--------
 2 files changed, 96 insertions(+), 48 deletions(-)

diff --git a/tests/e2e/batches/batch_cleanup.py b/tests/e2e/batches/batch_cleanup.py
index 3fd6802f696..722df0c29bc 100644
--- a/tests/e2e/batches/batch_cleanup.py
+++ b/tests/e2e/batches/batch_cleanup.py
@@ -1,4 +1,5 @@
 from collections.abc import Callable
+from itertools import count
 from time import monotonic, sleep
 from typing import Final, Protocol
 
@@ -84,11 +85,13 @@ def cleanup_batch(
             if not needs_terminal_state:
                 return
     deadline: Final = clock() + BATCH_CANCEL_TIMEOUT_SECONDS
-    while True:
-        current = _require_cleanup_success(
+    for current in (
+        _require_cleanup_success(
             cleanup_result(lambda: client.retrieve_batch(batch_id, key=key, provider=provider)),
             f"Retrieve batch {batch_id} after cancellation",
         )
+        for _ in count()
+    ):
         if current.status in BATCH_TERMINAL_STATUSES:
             return
         assert current.status == "cancelling", f"Cancel batch {batch_id} left status {current.status}"
diff --git a/tests/e2e/batches/test_batch_cleanup.py b/tests/e2e/batches/test_batch_cleanup.py
index 15dead6d36d..66b7079ccc2 100644
--- a/tests/e2e/batches/test_batch_cleanup.py
+++ b/tests/e2e/batches/test_batch_cleanup.py
@@ -16,33 +16,44 @@ MANAGED_FILE_ID: Final = "bGl0ZWxsbV9wcm94eTtmaWxlLTE="
 MANAGED_BATCH_ID: Final = "bGl0ZWxsbV9wcm94eTtiYXRjaC0x"
 
 
-@dataclass
+@dataclass(frozen=True, slots=True)
+class ExpectedCalls[T]:
+    values: Iterator[T]
+
+    def __call__(self, value: T) -> None:
+        assert next(self.values, None) == value
+
+    def assert_done(self) -> None:
+        assert tuple(self.values) == ()
+
+
+@dataclass(frozen=True, slots=True)
 class CleanupClient:
+    calls: ExpectedCalls[str]
     files: Iterator[Result[FileDeleteResponse]] = field(default_factory=lambda: iter(()))
     batches: Iterator[Result[BatchObject]] = field(default_factory=lambda: iter(()))
     cancellations: Iterator[Result[BatchObject]] = field(default_factory=lambda: iter(()))
-    calls: list[str] = field(default_factory=list)
 
     def delete_file(self, file_id: str, *, key: str, provider: str | None = None) -> Result[FileDeleteResponse]:
-        self.calls.append(f"delete {provider} {file_id}")
+        self.calls(f"delete {provider} {file_id}")
         return next(self.files)
 
     def retrieve_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]:
-        self.calls.append(f"retrieve {provider} {batch_id}")
+        self.calls(f"retrieve {provider} {batch_id}")
         return next(self.batches)
 
     def cancel_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]:
-        self.calls.append(f"cancel {provider} {batch_id}")
+        self.calls(f"cancel {provider} {batch_id}")
         return next(self.cancellations)
 
     def generate_key(self, body: KeyGenerateBody) -> str:
         return "test-key"
 
     def delete_key(self, key: str) -> None:
-        self.calls.append(f"delete key {key}")
+        self.calls(f"delete key {key}")
 
     def delete_customers(self, user_ids: list[str]) -> None:
-        self.calls.append(f"delete customers {user_ids}")
+        self.calls(f"delete customers {user_ids}")
 
 
 def batch(status: str) -> Success[BatchObject]:
@@ -58,51 +69,71 @@ class TestFileCleanup:
         response: Final = Success(
             status_code=200, data=FileDeleteResponse.model_validate({"id": MANAGED_FILE_ID, "object": "file"})
         )
-        client: Final = CleanupClient(files=iter((response,)))
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter((f"delete None {MANAGED_FILE_ID}",))), files=iter((response,))
+        )
         cleanup_file(client, MANAGED_FILE_ID, key="test-key")
-        assert client.calls == [f"delete None {MANAGED_FILE_ID}"]
+        client.calls.assert_done()
 
     @pytest.mark.parametrize("file_id", ["file-1", MANAGED_FILE_ID])
     def test_a_success_status_without_a_deletion_confirmation_is_rejected(self, file_id: str) -> None:
-        client: Final = CleanupClient(files=iter((Success(status_code=200, data=FileDeleteResponse(id=file_id)),)))
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter((f"delete None {file_id}",))),
+            files=iter((Success(status_code=200, data=FileDeleteResponse(id=file_id)),)),
+        )
         with pytest.raises(AssertionError, match="did not confirm deletion"):
             cleanup_file(client, file_id, key="test-key")
+        client.calls.assert_done()
 
     @pytest.mark.parametrize("cap", CAPABILITIES, ids=[cap.id for cap in CAPABILITIES])
     def test_deletes_raw_files_through_the_upload_provider(self, cap: Capability) -> None:
-        client: Final = CleanupClient(files=iter((deleted_file(),)))
-        cleanup_file(client, "file-1", key="test-key", provider=cap.file_provider)
         expected_provider: Final = cap.provider if cap.scenario in {"model_param", "provider_fallback"} else None
-        assert client.calls == [f"delete {expected_provider} file-1"]
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter((f"delete {expected_provider} file-1",))), files=iter((deleted_file(),))
+        )
+        cleanup_file(client, "file-1", key="test-key", provider=cap.file_provider)
+        client.calls.assert_done()
 
     def test_failed_delete_is_reported_after_remaining_resources_are_cleaned(self) -> None:
-        client: Final = CleanupClient(files=iter((UnknownApiError(status_code=403, body="secret response"),)))
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter(("delete azure file-1", "delete key test-key"))),
+            files=iter((UnknownApiError(status_code=403, body="secret response"),)),
+        )
         manager: Final = ResourceManager(client=client, strict_cleanup=True)
         key: Final = manager.key()
         manager.defer(lambda: cleanup_file(client, "file-1", key=key, provider="azure"))
         with pytest.raises(ExceptionGroup) as caught:
             manager.teardown()
-        assert client.calls == ["delete azure file-1", "delete key test-key"]
+        client.calls.assert_done()
         assert len(caught.value.exceptions) == 1
         assert str(caught.value.exceptions[0]) == "Delete file file-1 failed: HTTP 403"
 
     def test_success_response_must_confirm_deletion(self) -> None:
-        client: Final = CleanupClient(files=iter((deleted_file(deleted=False),)))
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter(("delete None file-1",))), files=iter((deleted_file(deleted=False),))
+        )
         with pytest.raises(AssertionError, match="did not confirm deletion"):
             cleanup_file(client, "file-1", key="test-key")
+        client.calls.assert_done()
 
     def test_cleanup_is_idempotent_when_file_is_already_deleted(self) -> None:
-        client: Final = CleanupClient(files=iter((UnknownApiError(status_code=404, body="missing"),)))
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter(("delete azure file-1",))),
+            files=iter((UnknownApiError(status_code=404, body="missing"),)),
+        )
         cleanup_file(client, "file-1", key="test-key", provider="azure")
-        assert client.calls == ["delete azure file-1"]
+        client.calls.assert_done()
 
     def test_default_resource_cleanup_keeps_existing_best_effort_behavior(self) -> None:
-        client: Final = CleanupClient(files=iter((UnknownApiError(status_code=403, body="forbidden"),)))
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter(("delete None file-1", "delete key test-key"))),
+            files=iter((UnknownApiError(status_code=403, body="forbidden"),)),
+        )
         manager: Final = ResourceManager(client=client)
         key: Final = manager.key()
         manager.defer(lambda: cleanup_file(client, "file-1", key=key))
         manager.teardown()
-        assert client.calls == ["delete None file-1", "delete key test-key"]
+        client.calls.assert_done()
 
 
 class TestCleanupRetries:
@@ -112,40 +143,54 @@ class TestCleanupRetries:
     )
     def test_transient_error_retries_and_returns_success(self, failure: Result[FileDeleteResponse]) -> None:
         outcomes: Final = iter((failure, deleted_file()))
-        delays: Final[list[float]] = []
-        result: Final[Result[FileDeleteResponse]] = cleanup_result(lambda: next(outcomes), wait=delays.append)
+        delays: Final = ExpectedCalls(iter((1.0,)))
+        result: Final[Result[FileDeleteResponse]] = cleanup_result(lambda: next(outcomes), wait=delays)
         assert isinstance(result, Success) and result.data.deleted
-        assert delays == [1.0]
+        delays.assert_done()
 
     def test_persistent_error_has_bounded_retries(self) -> None:
         failure: Final = UnknownApiError(status_code=503, body="unavailable")
         outcomes: Final[Iterator[Result[FileDeleteResponse]]] = iter((failure,) * (len(CLEANUP_DELAYS) + 1))
-        delays: Final[list[float]] = []
-        result: Final[Result[FileDeleteResponse]] = cleanup_result(lambda: next(outcomes), wait=delays.append)
+        delays: Final = ExpectedCalls(iter(CLEANUP_DELAYS))
+        result: Final[Result[FileDeleteResponse]] = cleanup_result(lambda: next(outcomes), wait=delays)
         assert result is failure
-        assert tuple(delays) == CLEANUP_DELAYS
+        delays.assert_done()
         assert next(outcomes, None) is None
 
     def test_permanent_error_is_not_retried(self) -> None:
         failure: Final = UnknownApiError(status_code=403, body="forbidden")
         outcomes: Final = iter((failure, deleted_file()))
-        delays: Final[list[float]] = []
-        assert cleanup_result(lambda: next(outcomes), wait=delays.append) is failure
-        assert delays == []
+        delays: Final = ExpectedCalls[float](iter(()))
+        assert cleanup_result(lambda: next(outcomes), wait=delays) is failure
+        delays.assert_done()
         assert isinstance(next(outcomes), Success)
 
 
 class TestBatchCancellation:
     def test_cancelling_batch_is_polled_until_terminal_without_cancelling_again(self) -> None:
-        client: Final = CleanupClient(batches=iter((batch("cancelling"), batch("cancelling"), batch("cancelled"))))
-        delays: Final[list[float]] = []
-        cleanup_batch(client, MANAGED_BATCH_ID, key="test-key", wait=delays.append)
-        assert client.calls == [f"retrieve None {MANAGED_BATCH_ID}"] * 3
-        assert delays == [10.0]
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter((f"retrieve None {MANAGED_BATCH_ID}",) * 3)),
+            batches=iter((batch("cancelling"), batch("cancelling"), batch("cancelled"))),
+        )
+        delays: Final = ExpectedCalls(iter((10.0,)))
+        cleanup_batch(client, MANAGED_BATCH_ID, key="test-key", wait=delays)
+        client.calls.assert_done()
+        delays.assert_done()
 
     def test_cancellation_timeout_is_reported_but_file_and_key_cleanup_still_run(self) -> None:
         client: Final = CleanupClient(
-            batches=iter((batch("cancelling"), batch("cancelling"))), files=iter((deleted_file(),))
+            calls=ExpectedCalls(
+                iter(
+                    (
+                        f"retrieve None {MANAGED_BATCH_ID}",
+                        f"retrieve None {MANAGED_BATCH_ID}",
+                        "delete None file-1",
+                        "delete key test-key",
+                    )
+                )
+            ),
+            batches=iter((batch("cancelling"), batch("cancelling"))),
+            files=iter((deleted_file(),)),
         )
         ticks: Final = iter((0.0, BATCH_CANCEL_TIMEOUT_SECONDS))
         manager: Final = ResourceManager(client=client, strict_cleanup=True)
@@ -155,29 +200,29 @@ class TestBatchCancellation:
         with pytest.raises(ExceptionGroup) as caught:
             manager.teardown()
         assert "cancellation did not finish" in str(caught.value.exceptions[0])
-        assert client.calls == [
-            f"retrieve None {MANAGED_BATCH_ID}",
-            f"retrieve None {MANAGED_BATCH_ID}",
-            "delete None file-1",
-            "delete key test-key",
-        ]
+        client.calls.assert_done()
 
     @pytest.mark.parametrize("status", ["completed", "failed", "expired", "cancelled"])
     def test_inactive_batch_needs_no_cancellation(self, status: str) -> None:
-        client: Final = CleanupClient(batches=iter((batch(status),)))
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(iter(("retrieve None batch-1",))), batches=iter((batch(status),))
+        )
         cleanup_batch(client, "batch-1", key="test-key")
-        assert client.calls == ["retrieve None batch-1"]
+        client.calls.assert_done()
 
     def test_active_batch_is_cancelled_through_its_provider(self) -> None:
         client: Final = CleanupClient(
-            batches=iter((batch("in_progress"), batch("cancelled"))), cancellations=iter((batch("cancelling"),))
+            calls=ExpectedCalls(iter(("retrieve azure batch-1", "cancel azure batch-1"))),
+            batches=iter((batch("in_progress"), batch("cancelled"))),
+            cancellations=iter((batch("cancelling"),)),
         )
         cleanup_batch(client, "batch-1", key="test-key", provider="azure")
-        assert client.calls == ["retrieve azure batch-1", "cancel azure batch-1"]
+        client.calls.assert_done()
 
     @pytest.mark.parametrize("status", ["completed", "in_progress"])
     def test_cancellation_conflict_is_accepted_only_when_batch_became_inactive(self, status: str) -> None:
         client: Final = CleanupClient(
+            calls=ExpectedCalls(iter(("retrieve None batch-1", "cancel None batch-1", "retrieve None batch-1"))),
             batches=iter((batch("in_progress"), batch(status))),
             cancellations=iter((UnknownApiError(status_code=409, body="conflict"),)),
         )
@@ -186,7 +231,7 @@ class TestBatchCancellation:
         else:
             with pytest.raises(AssertionError, match="Cancel batch batch-1 left status in_progress"):
                 cleanup_batch(client, "batch-1", key="test-key")
-        assert client.calls == ["retrieve None batch-1", "cancel None batch-1", "retrieve None batch-1"]
+        client.calls.assert_done()
 
 
 class TestAzureFileExpiry:

From c84131b81ab6feb552e23c5996559159e8810066 Mon Sep 17 00:00:00 2001
From: ryan-crabbe-berri <ryan@berri.ai>
Date: Mon, 7 Sep 2026 16:00:20 -0700
Subject: [PATCH 046/223] feat(proxy): price cache and reasoning tokens in
 /cost/estimate

POST /cost/estimate now accepts cache_read_input_tokens,
cache_creation_input_tokens and reasoning_tokens, bills them at the
model's cache and reasoning rates, and reports each share per request,
per day and per month next to the rates it used.

Custom-priced deployments also get cache and reasoning lines in the cost
breakdown now, so the estimate and the spend logs reconcile with their
totals instead of showing zero for those tokens.

Requested by a customer (Pylon #7365).

Claude-Session: https://claude.ai/code/session_011Tn3657NkV6ojLqewL64Kb
---
 litellm/cost_calculator.py                    |   1 +
 .../litellm_core_utils/llm_cost_calc/utils.py |  68 +++--
 litellm/proxy/_types.py                       |  36 +++
 .../cost_tracking_settings.py                 | 253 +++++++++++-------
 .../llm_cost_calc/test_llm_cost_calc_utils.py |  64 +++++
 .../test_cost_tracking_settings.py            | 187 ++++++++++++-
 tests/test_litellm/test_cost_calculator.py    |  50 ++++
 ui/litellm-dashboard/src/lib/http/schema.d.ts | 103 ++++++-
 8 files changed, 641 insertions(+), 121 deletions(-)

diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 9a9d2ceda03..a1181ee4124 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -1746,6 +1746,7 @@ def completion_cost(
                             service_tier=service_tier,
                             data_residency=data_residency,
                             vertex_location=vertex_location,
+                            custom_cost_per_token=custom_cost_per_token,
                         )
                         _reasoning_cost = _token_type_breakdown.reasoning_cost
                         _cache_read_cost = _token_type_breakdown.cache_read_cost
diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 68dc27ec25e..8d53c8da3e6 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -19,6 +19,7 @@ from litellm.types.utils import (
     CacheCreationTokenDetails,
     CallTypes,
     CompletionTokensDetailsWrapper,
+    CostPerToken,
     DataResidency,
     ImageResponse,
     ModelInfo,
@@ -1307,6 +1308,40 @@ class TokenTypeCostBreakdown:
     cache_creation_cost: float
 
 
+def _reasoning_token_count(usage: Usage) -> int:
+    parsed: Final = (
+        parse_completion_tokens_details(usage)["reasoning_tokens"] if usage.completion_tokens_details is not None else 0
+    )
+    return parsed or _coerce_token_count(getattr(usage, "reasoning_tokens", 0))
+
+
+def _cache_token_counts(usage: Usage) -> tuple[int, int, CacheCreationTokenDetails | None]:
+    """(cache read tokens, cache creation tokens, cache creation details): read from prompt_tokens_details
+    first, then the private top-level counters the Usage constructor mirrors cache tokens onto for
+    providers/callers that bypass the details."""
+    parsed: Final = parse_prompt_tokens_details(usage) if usage.prompt_tokens_details is not None else None
+    parsed_read: Final = parsed["cache_hit_tokens"] if parsed is not None else 0
+    parsed_creation: Final = parsed["cache_creation_tokens"] if parsed is not None else 0
+    return (
+        parsed_read or _coerce_token_count(getattr(usage, "_cache_read_input_tokens", 0)),
+        parsed_creation or _coerce_token_count(getattr(usage, "_cache_creation_input_tokens", 0)),
+        parsed["cache_creation_token_details"] if parsed is not None else None,
+    )
+
+
+def _custom_pricing_token_type_breakdown(usage: Usage, custom_cost_per_token: CostPerToken) -> TokenTypeCostBreakdown:
+    """Flat custom pricing has no tiers, uplifts or reasoning rate: cache tokens bill at the configured
+    cache rates (else the input rate) and reasoning at the output rate, as _cost_per_token_custom_pricing_helper does."""
+    input_rate: Final = custom_cost_per_token["input_cost_per_token"]
+    cache_read_tokens, cache_creation_tokens, _ = _cache_token_counts(usage)
+    return TokenTypeCostBreakdown(
+        reasoning_cost=float(_reasoning_token_count(usage)) * custom_cost_per_token["output_cost_per_token"],
+        cache_read_cost=float(cache_read_tokens) * custom_cost_per_token.get("cache_read_input_token_cost", input_rate),
+        cache_creation_cost=float(cache_creation_tokens)
+        * custom_cost_per_token.get("cache_creation_input_token_cost", input_rate),
+    )
+
+
 def get_token_type_cost_breakdown(
     model: str,
     custom_llm_provider: str | None,
@@ -1315,6 +1350,7 @@ def get_token_type_cost_breakdown(
     data_residency: str | None = None,
     vertex_location: str | None = None,
     current_time: datetime | None = None,
+    custom_cost_per_token: CostPerToken | None = None,
 ) -> TokenTypeCostBreakdown:
     """
     Provider-agnostic cost of reasoning and cache tokens, derived from the usage
@@ -1325,9 +1361,13 @@ def get_token_type_cost_breakdown(
     land on ``prompt_tokens_details`` (via the Usage constructor and provider
     transformations) and reasoning tokens on ``completion_tokens_details``. It reuses
     the same rate-resolution primitives as the total-cost path so the breakdown can
-    never drift from the totals. Returns zeros (never raises) when the model or its
-    pricing cannot be resolved.
+    never drift from the totals. A deployment billed by ``custom_cost_per_token`` is
+    priced from those flat rates instead of the cost map, for the same reason.
+    Returns zeros (never raises) when the model or its pricing cannot be resolved.
     """
+    if custom_cost_per_token is not None:
+        return _custom_pricing_token_type_breakdown(usage=usage, custom_cost_per_token=custom_cost_per_token)
+
     try:
         model_info: Final = get_model_info(model=model, custom_llm_provider=custom_llm_provider)
     except Exception:
@@ -1348,12 +1388,6 @@ def get_token_type_cost_breakdown(
         threshold_is_inclusive=_uses_inclusive_token_thresholds(custom_llm_provider),
     )
 
-    reasoning_tokens = (
-        parse_completion_tokens_details(usage)["reasoning_tokens"] if usage.completion_tokens_details is not None else 0
-    )
-    if not reasoning_tokens:
-        reasoning_tokens = _coerce_token_count(getattr(usage, "reasoning_tokens", 0))
-
     reasoning_rate: Final = _resolve_billed_reasoning_rate(
         model_info=model_info,
         usage=usage,
@@ -1361,23 +1395,9 @@ def get_token_type_cost_breakdown(
         completion_base_cost=completion_base_cost,
         current_time=billing_time,
     )
-    reasoning_cost = float(reasoning_tokens) * reasoning_rate
-
-    cache_read_tokens = 0
-    cache_creation_tokens = 0
-    cache_creation_token_details: CacheCreationTokenDetails | None = None
-    if usage.prompt_tokens_details is not None:
-        prompt_tokens_details: Final = parse_prompt_tokens_details(usage)
-        cache_read_tokens = prompt_tokens_details["cache_hit_tokens"]
-        cache_creation_tokens = prompt_tokens_details["cache_creation_tokens"]
-        cache_creation_token_details = prompt_tokens_details["cache_creation_token_details"]
-    # Fall back to the private top-level counters the Usage constructor mirrors cache
-    # tokens onto, so providers/callers that bypass prompt_tokens_details are covered.
-    if not cache_read_tokens:
-        cache_read_tokens = _coerce_token_count(getattr(usage, "_cache_read_input_tokens", 0))
-    if not cache_creation_tokens:
-        cache_creation_tokens = _coerce_token_count(getattr(usage, "_cache_creation_input_tokens", 0))
+    reasoning_cost = float(_reasoning_token_count(usage)) * reasoning_rate
 
+    cache_read_tokens, cache_creation_tokens, cache_creation_token_details = _cache_token_counts(usage)
     cache_read_cost = float(cache_read_tokens) * cache_read_cost_rate
     cache_creation_cost = calculate_cache_writing_cost(
         cache_creation_tokens=cache_creation_tokens,
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index abce10690e5..65b7d409d7c 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -5137,9 +5137,26 @@ class CostEstimateRequest(LiteLLMPydanticObjectBase):
     model: str = Field(description="Model name (from /model_group/info)")
     input_tokens: int = Field(description="Expected input tokens per request", ge=0)
     output_tokens: int = Field(description="Expected output tokens per request", ge=0)
+    cache_read_input_tokens: int = Field(
+        default=0, description="Input tokens read from the prompt cache; counted within input_tokens", ge=0
+    )
+    cache_creation_input_tokens: int = Field(
+        default=0, description="Input tokens written to the prompt cache; counted within input_tokens", ge=0
+    )
+    reasoning_tokens: int = Field(
+        default=0, description="Reasoning tokens the model emits; counted within output_tokens", ge=0
+    )
     num_requests_per_day: int | None = Field(default=None, description="Number of requests per day", ge=0)
     num_requests_per_month: int | None = Field(default=None, description="Number of requests per month", ge=0)
 
+    @model_validator(mode="after")
+    def validate_token_subsets(self) -> "CostEstimateRequest":
+        if self.cache_read_input_tokens + self.cache_creation_input_tokens > self.input_tokens:
+            raise ValueError("cache_read_input_tokens plus cache_creation_input_tokens cannot exceed input_tokens")
+        if self.reasoning_tokens > self.output_tokens:
+            raise ValueError("reasoning_tokens cannot exceed output_tokens")
+        return self
+
 
 class CostEstimateResponse(LiteLLMPydanticObjectBase):
     """Response body for /cost/estimate endpoint."""
@@ -5147,6 +5164,9 @@ class CostEstimateResponse(LiteLLMPydanticObjectBase):
     model: str
     input_tokens: int
     output_tokens: int
+    cache_read_input_tokens: int = 0
+    cache_creation_input_tokens: int = 0
+    reasoning_tokens: int = 0
     num_requests_per_day: int | None = None
     num_requests_per_month: int | None = None
     # Per-request costs
@@ -5154,17 +5174,33 @@ class CostEstimateResponse(LiteLLMPydanticObjectBase):
     input_cost_per_request: float = Field(description="Input token cost per request (before margin)")
     output_cost_per_request: float = Field(description="Output token cost per request (before margin)")
     margin_cost_per_request: float = Field(default=0.0, description="Margin/fee added per request")
+    cache_read_cost_per_request: float = Field(default=0.0, description="Cache-read share of input_cost_per_request")
+    cache_creation_cost_per_request: float = Field(
+        default=0.0, description="Cache-write share of input_cost_per_request"
+    )
+    reasoning_cost_per_request: float = Field(default=0.0, description="Reasoning share of output_cost_per_request")
     # Daily costs (if num_requests_per_day provided)
     daily_cost: float | None = Field(default=None, description="Total daily cost (includes margin)")
     daily_input_cost: float | None = Field(default=None, description="Daily input token cost")
     daily_output_cost: float | None = Field(default=None, description="Daily output token cost")
     daily_margin_cost: float | None = Field(default=None, description="Daily margin/fee")
+    daily_cache_read_cost: float | None = Field(default=None, description="Cache-read share of daily_input_cost")
+    daily_cache_creation_cost: float | None = Field(default=None, description="Cache-write share of daily_input_cost")
+    daily_reasoning_cost: float | None = Field(default=None, description="Reasoning share of daily_output_cost")
     # Monthly costs (if num_requests_per_month provided)
     monthly_cost: float | None = Field(default=None, description="Total monthly cost (includes margin)")
     monthly_input_cost: float | None = Field(default=None, description="Monthly input token cost")
     monthly_output_cost: float | None = Field(default=None, description="Monthly output token cost")
     monthly_margin_cost: float | None = Field(default=None, description="Monthly margin/fee")
+    monthly_cache_read_cost: float | None = Field(default=None, description="Cache-read share of monthly_input_cost")
+    monthly_cache_creation_cost: float | None = Field(
+        default=None, description="Cache-write share of monthly_input_cost"
+    )
+    monthly_reasoning_cost: float | None = Field(default=None, description="Reasoning share of monthly_output_cost")
     # Pricing info
     input_cost_per_token: float | None = None
     output_cost_per_token: float | None = None
+    cache_read_input_token_cost: float | None = Field(default=None, description="Rate billed per cache-read token")
+    cache_creation_input_token_cost: float | None = Field(default=None, description="Rate billed per cache-write token")
+    output_cost_per_reasoning_token: float | None = Field(default=None, description="Rate billed per reasoning token")
     provider: str | None = None
diff --git a/litellm/proxy/management_endpoints/cost_tracking_settings.py b/litellm/proxy/management_endpoints/cost_tracking_settings.py
index 204051c3715..51f31a757cd 100644
--- a/litellm/proxy/management_endpoints/cost_tracking_settings.py
+++ b/litellm/proxy/management_endpoints/cost_tracking_settings.py
@@ -27,7 +27,15 @@ from litellm.proxy._types import (
     UserAPIKeyAuth,
 )
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
-from litellm.types.utils import CostPerToken, LlmProvidersSet, ModelInfo
+from litellm.types.utils import (
+    CostBreakdown,
+    CostPerToken,
+    LlmProvidersSet,
+    ModelInfo,
+    ModelResponse,
+    PromptTokensDetailsWrapper,
+    Usage,
+)
 
 router: Final = APIRouter()
 
@@ -46,13 +54,15 @@ def _configured_price(key: str, sources: tuple[Mapping[str, object], ...]) -> fl
 
 
 def _extract_custom_pricing(
-    litellm_params: Mapping[str, object], model_info: Mapping[str, object]
+    litellm_params: Mapping[str, object], model_info: Mapping[str, object], builtin: ModelInfo | None
 ) -> CostPerToken | None:
     """
     Pull per-token pricing configured on a deployment so on-prem / self-hosted
     models (absent from the public cost map) still estimate a real cost.
     Pricing may live on ``litellm_params`` or ``model_info``; ``litellm_params``
-    wins, matching the router's cost-map registration precedence.
+    wins, matching the router's cost-map registration precedence. Cache rates the
+    deployment leaves unset come from the backend model's built-in entry, then its
+    own input rate, again matching what the router registers for live billing.
     """
     sources: Final = (litellm_params, model_info)
     input_price: Final = _configured_price("input_cost_per_token", sources)
@@ -61,9 +71,15 @@ def _extract_custom_pricing(
     if input_price is None and output_price is None:
         return None
 
+    input_rate: Final = input_price or 0.0
+    cache_sources: Final = sources if builtin is None else (*sources, builtin)
+    cache_read_price: Final = _configured_price("cache_read_input_token_cost", cache_sources)
+    cache_creation_price: Final = _configured_price("cache_creation_input_token_cost", cache_sources)
     return CostPerToken(
-        input_cost_per_token=input_price or 0.0,
+        input_cost_per_token=input_rate,
         output_cost_per_token=output_price or 0.0,
+        cache_read_input_token_cost=input_rate if cache_read_price is None else cache_read_price,
+        cache_creation_input_token_cost=input_rate if cache_creation_price is None else cache_creation_price,
     )
 
 
@@ -98,17 +114,14 @@ def _resolve_model_for_cost_lookup(model: str) -> ResolvedCostModel:
                 model_info: Final = first_deployment.get("model_info", {})
                 custom_llm_provider: Final = litellm_params.get("custom_llm_provider")
                 provider: Final = str(custom_llm_provider) if custom_llm_provider is not None else None
-                custom_cost_per_token: Final = _extract_custom_pricing(litellm_params, model_info)
-
-                # Check base_model first (needed for Azure custom deployment names)
+                # base_model wins (needed for Azure custom deployment names)
                 base_model: Final = model_info.get("base_model") or litellm_params.get("base_model")
-                if base_model:
-                    verbose_proxy_logger.debug("Resolved model '%s' to base_model '%s' from router", model, base_model)
-                    return ResolvedCostModel(str(base_model), provider, custom_cost_per_token)
-
-                resolved_model: Final = litellm_params.get("model")
+                resolved_model: Final = base_model or litellm_params.get("model")
                 if resolved_model:
                     verbose_proxy_logger.debug("Resolved model '%s' to '%s' from router", model, resolved_model)
+                    custom_cost_per_token: Final = _extract_custom_pricing(
+                        litellm_params, model_info, _lookup_model_info(str(resolved_model))
+                    )
                     return ResolvedCostModel(str(resolved_model), provider, custom_cost_per_token)
         except Exception as e:
             verbose_proxy_logger.debug("Could not resolve model '%s' from router: %s", model, e)
@@ -117,19 +130,97 @@ def _resolve_model_for_cost_lookup(model: str) -> ResolvedCostModel:
     return ResolvedCostModel(model, None, None)
 
 
-def _calculate_period_costs(num_requests, cost_per_request, input_cost, output_cost, margin_cost):
-    """
-    Calculate costs for a given number of requests.
+@dataclass(frozen=True, slots=True)
+class CostLines:
+    """Cost of one request split the way the spend logs split it: the cache lines are
+    shares of input_cost and the reasoning line is a share of output_cost."""
 
-    Returns tuple of (total_cost, input_cost, output_cost, margin_cost) or all None if num_requests is None/0.
-    """
-    if not num_requests:
-        return None, None, None, None
-    return (
-        cost_per_request * num_requests,
-        input_cost * num_requests,
-        output_cost * num_requests,
-        margin_cost * num_requests,
+    total_cost: float
+    input_cost: float
+    output_cost: float
+    margin_cost: float
+    cache_read_cost: float
+    cache_creation_cost: float
+    reasoning_cost: float
+
+    def times(self, num_requests: int | None) -> "CostLines | None":
+        if not num_requests:
+            return None
+        return CostLines(
+            total_cost=self.total_cost * num_requests,
+            input_cost=self.input_cost * num_requests,
+            output_cost=self.output_cost * num_requests,
+            margin_cost=self.margin_cost * num_requests,
+            cache_read_cost=self.cache_read_cost * num_requests,
+            cache_creation_cost=self.cache_creation_cost * num_requests,
+            reasoning_cost=self.reasoning_cost * num_requests,
+        )
+
+
+def _cost_lines(cost_per_request: float, cost_breakdown: CostBreakdown | None) -> CostLines:
+    breakdown: Final = cost_breakdown if cost_breakdown is not None else CostBreakdown()
+    return CostLines(
+        total_cost=cost_per_request,
+        input_cost=breakdown.get("input_cost", 0.0),
+        output_cost=breakdown.get("output_cost", 0.0),
+        margin_cost=breakdown.get("margin_total_amount", 0.0),
+        cache_read_cost=breakdown.get("cache_read_cost", 0.0),
+        cache_creation_cost=breakdown.get("cache_creation_cost", 0.0),
+        reasoning_cost=breakdown.get("reasoning_cost", 0.0),
+    )
+
+
+@dataclass(frozen=True, slots=True)
+class EffectiveTokenRates:
+    input_cost_per_token: float | None
+    output_cost_per_token: float | None
+    cache_read_input_token_cost: float | None
+    cache_creation_input_token_cost: float | None
+    output_cost_per_reasoning_token: float | None
+
+
+def _custom_token_rates(custom_cost_per_token: CostPerToken) -> EffectiveTokenRates:
+    input_rate: Final = custom_cost_per_token["input_cost_per_token"]
+    output_rate: Final = custom_cost_per_token["output_cost_per_token"]
+    return EffectiveTokenRates(
+        input_cost_per_token=input_rate,
+        output_cost_per_token=output_rate,
+        cache_read_input_token_cost=custom_cost_per_token.get("cache_read_input_token_cost", input_rate),
+        cache_creation_input_token_cost=custom_cost_per_token.get("cache_creation_input_token_cost", input_rate),
+        output_cost_per_reasoning_token=output_rate,
+    )
+
+
+def _cost_map_token_rates(model_info: ModelInfo | None) -> EffectiveTokenRates:
+    """Base rates the cost calculator bills flat usage at: a cost-map model without a cache price
+    bills cache tokens at zero, and one without a reasoning price bills reasoning at the output rate."""
+    if model_info is None:
+        return EffectiveTokenRates(None, None, None, None, None)
+    sources: Final = (model_info,)
+    output_rate: Final = _configured_price("output_cost_per_token", sources)
+    reasoning_rate: Final = _configured_price("output_cost_per_reasoning_token", sources)
+    return EffectiveTokenRates(
+        input_cost_per_token=_configured_price("input_cost_per_token", sources),
+        output_cost_per_token=output_rate,
+        cache_read_input_token_cost=_configured_price("cache_read_input_token_cost", sources) or 0.0,
+        cache_creation_input_token_cost=_configured_price("cache_creation_input_token_cost", sources) or 0.0,
+        output_cost_per_reasoning_token=output_rate if reasoning_rate is None else reasoning_rate,
+    )
+
+
+def _usage_for_estimate(request: CostEstimateRequest) -> Usage:
+    cache_tokens: Final = request.cache_read_input_tokens + request.cache_creation_input_tokens
+    return Usage(
+        prompt_tokens=request.input_tokens,
+        completion_tokens=request.output_tokens,
+        total_tokens=request.input_tokens + request.output_tokens,
+        reasoning_tokens=request.reasoning_tokens,
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            cached_tokens=request.cache_read_input_tokens,
+            cache_creation_tokens=request.cache_creation_input_tokens,
+        )
+        if cache_tokens
+        else None,
     )
 
 
@@ -530,11 +621,14 @@ async def estimate_cost(
     - model: Model name (e.g., "gpt-4", "claude-3-opus")
     - input_tokens: Expected input tokens per request
     - output_tokens: Expected output tokens per request
+    - cache_read_input_tokens: Cache-read tokens per request, counted within input_tokens (optional)
+    - cache_creation_input_tokens: Cache-write tokens per request, counted within input_tokens (optional)
+    - reasoning_tokens: Reasoning tokens per request, counted within output_tokens (optional)
     - num_requests_per_day: Number of requests per day (optional)
     - num_requests_per_month: Number of requests per month (optional)
 
     Returns cost breakdown including:
-    - Per-request costs (input, output, margin)
+    - Per-request costs (input, output, margin, plus the cache-read, cache-write and reasoning shares)
     - Daily costs (if num_requests_per_day provided)
     - Monthly costs (if num_requests_per_month provided)
 
@@ -543,14 +637,15 @@ async def estimate_cost(
     {
         "model": "gpt-4",
         "input_tokens": 1000,
+        "cache_read_input_tokens": 800,
         "output_tokens": 500,
+        "reasoning_tokens": 200,
         "num_requests_per_day": 100,
         "num_requests_per_month": 3000
     }
     ```
     """
     from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
-    from litellm.types.utils import ModelResponse, Usage
 
     # Resolve model name (handles router aliases like 'e-model-router' -> 'azure_ai/gpt-4')
     resolved: Final = _resolve_model_for_cost_lookup(request.model)
@@ -559,15 +654,7 @@ async def estimate_cost(
 
     verbose_proxy_logger.debug("Cost estimate: request.model='%s' resolved to '%s'", request.model, resolved_model)
 
-    # Create a mock response with usage for completion_cost
-    mock_response: Final = ModelResponse(
-        model=resolved_model,
-        usage=Usage(
-            prompt_tokens=request.input_tokens,
-            completion_tokens=request.output_tokens,
-            total_tokens=request.input_tokens + request.output_tokens,
-        ),
-    )
+    mock_response: Final = ModelResponse(model=resolved_model, usage=_usage_for_estimate(request))
 
     # Create a logging object to capture cost breakdown
     litellm_logging_obj: Final = LiteLLMLoggingObj(
@@ -597,75 +684,53 @@ async def estimate_cost(
             },
         )
 
-    # Get cost breakdown from the logging object
-    cost_breakdown: Final = litellm_logging_obj.cost_breakdown
-
-    input_cost: Final = cost_breakdown.get("input_cost", 0.0) if cost_breakdown else 0.0
-    output_cost: Final = cost_breakdown.get("output_cost", 0.0) if cost_breakdown else 0.0
-    margin_cost: Final = cost_breakdown.get("margin_total_amount", 0.0) if cost_breakdown else 0.0
+    per_request: Final = _cost_lines(cost_per_request, litellm_logging_obj.cost_breakdown)
+    daily: Final = per_request.times(request.num_requests_per_day)
+    monthly: Final = per_request.times(request.num_requests_per_month)
 
     model_info: Final = _lookup_model_info(resolved_model)
-    mapped_input_price: Final = model_info.get("input_cost_per_token") if model_info is not None else None
-    mapped_output_price: Final = model_info.get("output_cost_per_token") if model_info is not None else None
+    rates: Final = (
+        _custom_token_rates(resolved.custom_cost_per_token)
+        if resolved.custom_cost_per_token is not None
+        else _cost_map_token_rates(model_info)
+    )
     mapped_provider: Final = model_info.get("litellm_provider") if model_info is not None else None
-
-    input_cost_per_token: Final = (
-        resolved.custom_cost_per_token["input_cost_per_token"]
-        if resolved.custom_cost_per_token is not None
-        else mapped_input_price
-    )
-    output_cost_per_token: Final = (
-        resolved.custom_cost_per_token["output_cost_per_token"]
-        if resolved.custom_cost_per_token is not None
-        else mapped_output_price
-    )
     custom_llm_provider: Final = mapped_provider if mapped_provider is not None else resolved_provider
 
-    # Calculate daily and monthly costs
-    (
-        daily_cost,
-        daily_input_cost,
-        daily_output_cost,
-        daily_margin_cost,
-    ) = _calculate_period_costs(
-        num_requests=request.num_requests_per_day,
-        cost_per_request=cost_per_request,
-        input_cost=input_cost,
-        output_cost=output_cost,
-        margin_cost=margin_cost,
-    )
-    (
-        monthly_cost,
-        monthly_input_cost,
-        monthly_output_cost,
-        monthly_margin_cost,
-    ) = _calculate_period_costs(
-        num_requests=request.num_requests_per_month,
-        cost_per_request=cost_per_request,
-        input_cost=input_cost,
-        output_cost=output_cost,
-        margin_cost=margin_cost,
-    )
-
     return CostEstimateResponse(
         model=request.model,
         input_tokens=request.input_tokens,
         output_tokens=request.output_tokens,
+        cache_read_input_tokens=request.cache_read_input_tokens,
+        cache_creation_input_tokens=request.cache_creation_input_tokens,
+        reasoning_tokens=request.reasoning_tokens,
         num_requests_per_day=request.num_requests_per_day,
         num_requests_per_month=request.num_requests_per_month,
-        cost_per_request=cost_per_request,
-        input_cost_per_request=input_cost,
-        output_cost_per_request=output_cost,
-        margin_cost_per_request=margin_cost,
-        daily_cost=daily_cost,
-        daily_input_cost=daily_input_cost,
-        daily_output_cost=daily_output_cost,
-        daily_margin_cost=daily_margin_cost,
-        monthly_cost=monthly_cost,
-        monthly_input_cost=monthly_input_cost,
-        monthly_output_cost=monthly_output_cost,
-        monthly_margin_cost=monthly_margin_cost,
-        input_cost_per_token=input_cost_per_token,
-        output_cost_per_token=output_cost_per_token,
+        cost_per_request=per_request.total_cost,
+        input_cost_per_request=per_request.input_cost,
+        output_cost_per_request=per_request.output_cost,
+        margin_cost_per_request=per_request.margin_cost,
+        cache_read_cost_per_request=per_request.cache_read_cost,
+        cache_creation_cost_per_request=per_request.cache_creation_cost,
+        reasoning_cost_per_request=per_request.reasoning_cost,
+        daily_cost=daily.total_cost if daily is not None else None,
+        daily_input_cost=daily.input_cost if daily is not None else None,
+        daily_output_cost=daily.output_cost if daily is not None else None,
+        daily_margin_cost=daily.margin_cost if daily is not None else None,
+        daily_cache_read_cost=daily.cache_read_cost if daily is not None else None,
+        daily_cache_creation_cost=daily.cache_creation_cost if daily is not None else None,
+        daily_reasoning_cost=daily.reasoning_cost if daily is not None else None,
+        monthly_cost=monthly.total_cost if monthly is not None else None,
+        monthly_input_cost=monthly.input_cost if monthly is not None else None,
+        monthly_output_cost=monthly.output_cost if monthly is not None else None,
+        monthly_margin_cost=monthly.margin_cost if monthly is not None else None,
+        monthly_cache_read_cost=monthly.cache_read_cost if monthly is not None else None,
+        monthly_cache_creation_cost=monthly.cache_creation_cost if monthly is not None else None,
+        monthly_reasoning_cost=monthly.reasoning_cost if monthly is not None else None,
+        input_cost_per_token=rates.input_cost_per_token,
+        output_cost_per_token=rates.output_cost_per_token,
+        cache_read_input_token_cost=rates.cache_read_input_token_cost,
+        cache_creation_input_token_cost=rates.cache_creation_input_token_cost,
+        output_cost_per_reasoning_token=rates.output_cost_per_reasoning_token,
         provider=custom_llm_provider,
     )
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
index 59f0938e338..7065003839b 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
@@ -3874,6 +3874,70 @@ def test_token_type_cost_breakdown_reconciles_with_generic_total(_local_model_co
     assert text_input_cost + breakdown.cache_read_cost == pytest.approx(prompt_cost)
 
 
+def _custom_priced_usage() -> Usage:
+    return Usage(
+        prompt_tokens=1000,
+        completion_tokens=500,
+        total_tokens=1500,
+        prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=800, cache_creation_tokens=100),
+        completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=200),
+    )
+
+
+def test_token_type_cost_breakdown_prices_custom_pricing_from_its_flat_rates():
+    """
+    A custom-priced deployment, usually absent from the cost map, used to get zero cache and
+    reasoning lines while its total already billed cache tokens at the custom cache rates.
+    The lines must come from the same flat rates: a configured cache rate, else the input
+    rate for cache tokens and the output rate for reasoning tokens.
+    """
+    from litellm.types.utils import CostPerToken
+
+    breakdown = get_token_type_cost_breakdown(
+        model="openai/onprem-model",
+        custom_llm_provider="openai",
+        usage=_custom_priced_usage(),
+        custom_cost_per_token=CostPerToken(
+            input_cost_per_token=1e-6, output_cost_per_token=2e-6, cache_read_input_token_cost=1e-7
+        ),
+    )
+
+    assert breakdown.cache_read_cost == pytest.approx(800 * 1e-7)
+    assert breakdown.cache_creation_cost == pytest.approx(100 * 1e-6)
+    assert breakdown.reasoning_cost == pytest.approx(200 * 2e-6)
+
+
+def test_token_type_cost_breakdown_reconciles_with_custom_pricing_totals():
+    from litellm.cost_calculator import cost_per_token
+    from litellm.types.utils import CostPerToken
+
+    usage = _custom_priced_usage()
+    custom_cost_per_token = CostPerToken(
+        input_cost_per_token=1e-6,
+        output_cost_per_token=2e-6,
+        cache_read_input_token_cost=1e-7,
+        cache_creation_input_token_cost=1.25e-6,
+    )
+
+    prompt_cost, completion_cost = cost_per_token(
+        model="openai/onprem-model",
+        custom_llm_provider="openai",
+        prompt_tokens=1000,
+        completion_tokens=500,
+        usage_object=usage,
+        custom_cost_per_token=custom_cost_per_token,
+    )
+    breakdown = get_token_type_cost_breakdown(
+        model="openai/onprem-model",
+        custom_llm_provider="openai",
+        usage=usage,
+        custom_cost_per_token=custom_cost_per_token,
+    )
+
+    assert 100 * 1e-6 + breakdown.cache_read_cost + breakdown.cache_creation_cost == pytest.approx(prompt_cost)
+    assert 300 * 2e-6 + breakdown.reasoning_cost == pytest.approx(completion_cost)
+
+
 def test_token_type_cost_breakdown_zero_without_special_tokens(_local_model_cost_map):
 
     usage = Usage(prompt_tokens=100, completion_tokens=50, total_tokens=150)
diff --git a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
index ec62cc47018..6d3ef2ffea9 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
@@ -8,9 +8,11 @@ from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
 from fastapi.testclient import TestClient
+from pydantic import ValidationError
 
 
 import litellm
+from litellm.proxy._types import CostEstimateRequest
 from litellm.proxy.management_endpoints.cost_tracking_settings import router
 from litellm.proxy.proxy_server import app
 
@@ -789,13 +791,13 @@ INPUT_TOKENS = 1000
 OUTPUT_TOKENS = 500
 
 
-def _router_pricing(**pricing: float) -> MagicMock:
+def _router_pricing(model: str = AN_UNDERLYING_MODEL, **pricing: float) -> MagicMock:
     mock_router = MagicMock()
     mock_router.get_model_list.return_value = [
         {
             "model_name": AN_ALIAS,
             "litellm_params": {
-                "model": AN_UNDERLYING_MODEL,
+                "model": model,
                 "custom_llm_provider": "openai",
                 **pricing,
             },
@@ -909,3 +911,184 @@ class TestEstimateCostPeriodTotals:
         assert response.cost_per_request == pytest.approx(0.0022)
         assert response.daily_margin_cost == pytest.approx(0.02)
         assert response.daily_cost == pytest.approx(0.22)
+
+
+CACHE_READ_TOKENS = 800
+CACHE_CREATION_TOKENS = 100
+REASONING_TOKENS = 200
+TEXT_INPUT_TOKENS = INPUT_TOKENS - CACHE_READ_TOKENS - CACHE_CREATION_TOKENS
+TEXT_OUTPUT_TOKENS = OUTPUT_TOKENS - REASONING_TOKENS
+
+
+async def _estimate_with_cache_and_reasoning(mock_router: MagicMock | None, model: str = AN_ALIAS, **overrides: int):
+    return await _estimate(
+        mock_router,
+        model=model,
+        cache_read_input_tokens=CACHE_READ_TOKENS,
+        cache_creation_input_tokens=CACHE_CREATION_TOKENS,
+        reasoning_tokens=REASONING_TOKENS,
+        **overrides,
+    )
+
+
+class TestEstimateCostCacheAndReasoningTokens:
+    @pytest.mark.asyncio
+    async def test_a_mapped_model_bills_cache_and_reasoning_tokens_at_their_own_rates(self, monkeypatch):
+        monkeypatch.setitem(
+            litellm.model_cost,
+            A_MAPPED_MODEL,
+            {
+                "input_cost_per_token": 3e-6,
+                "output_cost_per_token": 15e-6,
+                "cache_read_input_token_cost": 3e-7,
+                "cache_creation_input_token_cost": 3.75e-6,
+                "output_cost_per_reasoning_token": 1e-5,
+                "litellm_provider": "openai",
+                "mode": "chat",
+            },
+        )
+
+        response = await _estimate_with_cache_and_reasoning(None, model=A_MAPPED_MODEL, num_requests_per_day=10)
+
+        assert response.cache_read_cost_per_request == pytest.approx(CACHE_READ_TOKENS * 3e-7)
+        assert response.cache_creation_cost_per_request == pytest.approx(CACHE_CREATION_TOKENS * 3.75e-6)
+        assert response.reasoning_cost_per_request == pytest.approx(REASONING_TOKENS * 1e-5)
+        assert response.input_cost_per_request == pytest.approx(
+            TEXT_INPUT_TOKENS * 3e-6 + CACHE_READ_TOKENS * 3e-7 + CACHE_CREATION_TOKENS * 3.75e-6
+        )
+        assert response.output_cost_per_request == pytest.approx(TEXT_OUTPUT_TOKENS * 15e-6 + REASONING_TOKENS * 1e-5)
+        assert response.cost_per_request == pytest.approx(
+            response.input_cost_per_request + response.output_cost_per_request
+        )
+        assert response.daily_cache_read_cost == pytest.approx(10 * CACHE_READ_TOKENS * 3e-7)
+        assert response.daily_cache_creation_cost == pytest.approx(10 * CACHE_CREATION_TOKENS * 3.75e-6)
+        assert response.daily_reasoning_cost == pytest.approx(10 * REASONING_TOKENS * 1e-5)
+        assert response.monthly_cache_read_cost is None
+        assert response.cache_read_input_token_cost == pytest.approx(3e-7)
+        assert response.cache_creation_input_token_cost == pytest.approx(3.75e-6)
+        assert response.output_cost_per_reasoning_token == pytest.approx(1e-5)
+        assert (
+            response.cache_read_input_tokens,
+            response.cache_creation_input_tokens,
+            response.reasoning_tokens,
+        ) == (CACHE_READ_TOKENS, CACHE_CREATION_TOKENS, REASONING_TOKENS)
+
+    @pytest.mark.asyncio
+    async def test_a_model_without_cache_or_reasoning_prices_estimates_what_the_proxy_bills(self, monkeypatch):
+        """The cost calculator bills cache tokens of a cost-map model without cache prices at zero
+        and its reasoning tokens at the output rate. The estimate reports those effective rates."""
+        monkeypatch.setitem(
+            litellm.model_cost,
+            A_MAPPED_MODEL,
+            {"input_cost_per_token": 5e-6, "output_cost_per_token": 6e-6, "litellm_provider": "openai", "mode": "chat"},
+        )
+
+        response = await _estimate_with_cache_and_reasoning(None, model=A_MAPPED_MODEL)
+
+        assert response.cache_read_cost_per_request == 0.0
+        assert response.cache_creation_cost_per_request == 0.0
+        assert response.reasoning_cost_per_request == pytest.approx(REASONING_TOKENS * 6e-6)
+        assert response.input_cost_per_request == pytest.approx(TEXT_INPUT_TOKENS * 5e-6)
+        assert response.cost_per_request == pytest.approx(TEXT_INPUT_TOKENS * 5e-6 + OUTPUT_TOKENS * 6e-6)
+        assert response.cache_read_input_token_cost == 0.0
+        assert response.cache_creation_input_token_cost == 0.0
+        assert response.output_cost_per_reasoning_token == pytest.approx(6e-6)
+
+    @pytest.mark.asyncio
+    async def test_a_request_without_cache_or_reasoning_tokens_estimates_as_before(self, monkeypatch):
+        monkeypatch.setitem(
+            litellm.model_cost,
+            A_MAPPED_MODEL,
+            {
+                "input_cost_per_token": 3e-6,
+                "output_cost_per_token": 15e-6,
+                "cache_read_input_token_cost": 3e-7,
+                "cache_creation_input_token_cost": 3.75e-6,
+                "output_cost_per_reasoning_token": 1e-5,
+                "litellm_provider": "openai",
+                "mode": "chat",
+            },
+        )
+
+        response = await _estimate(None, model=A_MAPPED_MODEL, num_requests_per_day=10)
+
+        assert response.cost_per_request == pytest.approx(INPUT_TOKENS * 3e-6 + OUTPUT_TOKENS * 15e-6)
+        assert response.cache_read_cost_per_request == 0.0
+        assert response.cache_creation_cost_per_request == 0.0
+        assert response.reasoning_cost_per_request == 0.0
+        assert response.daily_cache_read_cost == 0.0
+        assert response.daily_reasoning_cost == 0.0
+
+    @pytest.mark.asyncio
+    async def test_a_custom_priced_deployment_bills_cache_and_reasoning_tokens_from_its_flat_rates(self):
+        response = await _estimate_with_cache_and_reasoning(
+            _router_pricing(input_cost_per_token=1e-6, output_cost_per_token=2e-6, cache_read_input_token_cost=1e-7)
+        )
+
+        assert response.cache_read_cost_per_request == pytest.approx(CACHE_READ_TOKENS * 1e-7)
+        assert response.cache_creation_cost_per_request == pytest.approx(CACHE_CREATION_TOKENS * 1e-6)
+        assert response.reasoning_cost_per_request == pytest.approx(REASONING_TOKENS * 2e-6)
+        assert response.cost_per_request == pytest.approx(
+            TEXT_INPUT_TOKENS * 1e-6 + CACHE_READ_TOKENS * 1e-7 + CACHE_CREATION_TOKENS * 1e-6 + OUTPUT_TOKENS * 2e-6
+        )
+        assert response.cache_read_input_token_cost == pytest.approx(1e-7)
+        assert response.cache_creation_input_token_cost == pytest.approx(1e-6)
+        assert response.output_cost_per_reasoning_token == pytest.approx(2e-6)
+
+    @pytest.mark.asyncio
+    async def test_a_custom_priced_deployment_of_a_mapped_model_inherits_its_built_in_cache_rates(self, monkeypatch):
+        monkeypatch.setitem(
+            litellm.model_cost,
+            A_MAPPED_MODEL,
+            {
+                "input_cost_per_token": 5e-6,
+                "output_cost_per_token": 6e-6,
+                "cache_read_input_token_cost": 5e-7,
+                "cache_creation_input_token_cost": 6.25e-6,
+                "litellm_provider": "openai",
+                "mode": "chat",
+            },
+        )
+
+        response = await _estimate_with_cache_and_reasoning(
+            _router_pricing(model=A_MAPPED_MODEL, input_cost_per_token=1e-6, output_cost_per_token=2e-6)
+        )
+
+        assert response.cache_read_cost_per_request == pytest.approx(CACHE_READ_TOKENS * 5e-7)
+        assert response.cache_creation_cost_per_request == pytest.approx(CACHE_CREATION_TOKENS * 6.25e-6)
+        assert response.input_cost_per_request == pytest.approx(
+            TEXT_INPUT_TOKENS * 1e-6 + CACHE_READ_TOKENS * 5e-7 + CACHE_CREATION_TOKENS * 6.25e-6
+        )
+        assert response.cache_read_input_token_cost == pytest.approx(5e-7)
+        assert response.cache_creation_input_token_cost == pytest.approx(6.25e-6)
+
+
+class TestCostEstimateRequestTokenSubsets:
+    def test_cache_tokens_beyond_the_input_tokens_are_rejected(self):
+        with pytest.raises(ValidationError, match="cannot exceed input_tokens"):
+            CostEstimateRequest(
+                model=AN_ALIAS,
+                input_tokens=INPUT_TOKENS,
+                output_tokens=OUTPUT_TOKENS,
+                cache_read_input_tokens=INPUT_TOKENS,
+                cache_creation_input_tokens=1,
+            )
+
+    def test_reasoning_tokens_beyond_the_output_tokens_are_rejected(self):
+        with pytest.raises(ValidationError, match="cannot exceed output_tokens"):
+            CostEstimateRequest(
+                model=AN_ALIAS,
+                input_tokens=INPUT_TOKENS,
+                output_tokens=OUTPUT_TOKENS,
+                reasoning_tokens=OUTPUT_TOKENS + 1,
+            )
+
+    def test_the_endpoint_answers_422_when_cache_tokens_exceed_input_tokens(self):
+        response = client.post(
+            "/cost/estimate",
+            headers={"Authorization": "Bearer sk-1234"},
+            json={"model": AN_ALIAS, "input_tokens": 1000, "output_tokens": 100, "cache_read_input_tokens": 8000},
+        )
+
+        assert response.status_code == 422
+        assert "cannot exceed input_tokens" in response.text
diff --git a/tests/test_litellm/test_cost_calculator.py b/tests/test_litellm/test_cost_calculator.py
index f8fa2231597..910587d3dc5 100644
--- a/tests/test_litellm/test_cost_calculator.py
+++ b/tests/test_litellm/test_cost_calculator.py
@@ -3736,6 +3736,56 @@ def test_completion_cost_logs_reasoning_and_cache_breakdown(_local_model_cost_ma
     assert logging_obj.cost_breakdown["cache_read_cost"] == pytest.approx(100 * 3e-08)
 
 
+def test_completion_cost_logs_cache_and_reasoning_breakdown_for_custom_pricing():
+    """
+    A custom-priced deployment bills cache tokens at its custom cache rates, but the
+    breakdown stored for the spend logs carried no cache or reasoning lines for it.
+    """
+    from datetime import datetime
+
+    from litellm.litellm_core_utils.litellm_logging import Logging
+    from litellm.types.utils import CompletionTokensDetailsWrapper, CostPerToken
+
+    logging_obj = Logging(
+        model="openai/onprem-model",
+        messages=[{"role": "user", "content": "Hello"}],
+        stream=False,
+        call_type="completion",
+        start_time=datetime.now(),
+        litellm_call_id="custom-pricing-breakdown",
+        function_id="f",
+    )
+    response = ModelResponse(
+        model="openai/onprem-model",
+        usage=Usage(
+            prompt_tokens=1000,
+            completion_tokens=500,
+            total_tokens=1500,
+            prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=800, cache_creation_tokens=100),
+            completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=200),
+        ),
+    )
+
+    total = completion_cost(
+        completion_response=response,
+        model="openai/onprem-model",
+        custom_llm_provider="openai",
+        custom_cost_per_token=CostPerToken(
+            input_cost_per_token=1e-6,
+            output_cost_per_token=2e-6,
+            cache_read_input_token_cost=1e-7,
+            cache_creation_input_token_cost=1.25e-6,
+        ),
+        litellm_logging_obj=logging_obj,
+    )
+
+    assert logging_obj.cost_breakdown is not None
+    assert logging_obj.cost_breakdown["cache_read_cost"] == pytest.approx(800 * 1e-7)
+    assert logging_obj.cost_breakdown["cache_creation_cost"] == pytest.approx(100 * 1.25e-6)
+    assert logging_obj.cost_breakdown["reasoning_cost"] == pytest.approx(200 * 2e-6)
+    assert total == pytest.approx(100 * 1e-6 + 800 * 1e-7 + 100 * 1.25e-6 + 500 * 2e-6)
+
+
 def test_cost_per_token_per_second_pricing(monkeypatch):
     """
     Models priced by duration (input/output_cost_per_second) with no per-token rates
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 6fb08445aff..6a9c86cc1b5 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -3301,11 +3301,14 @@ export interface paths {
          *     - model: Model name (e.g., "gpt-4", "claude-3-opus")
          *     - input_tokens: Expected input tokens per request
          *     - output_tokens: Expected output tokens per request
+         *     - cache_read_input_tokens: Cache-read tokens per request, counted within input_tokens (optional)
+         *     - cache_creation_input_tokens: Cache-write tokens per request, counted within input_tokens (optional)
+         *     - reasoning_tokens: Reasoning tokens per request, counted within output_tokens (optional)
          *     - num_requests_per_day: Number of requests per day (optional)
          *     - num_requests_per_month: Number of requests per month (optional)
          *
          *     Returns cost breakdown including:
-         *     - Per-request costs (input, output, margin)
+         *     - Per-request costs (input, output, margin, plus the cache-read, cache-write and reasoning shares)
          *     - Daily costs (if num_requests_per_day provided)
          *     - Monthly costs (if num_requests_per_month provided)
          *
@@ -3314,7 +3317,9 @@ export interface paths {
          *     {
          *         "model": "gpt-4",
          *         "input_tokens": 1000,
+         *         "cache_read_input_tokens": 800,
          *         "output_tokens": 500,
+         *         "reasoning_tokens": 200,
          *         "num_requests_per_day": 100,
          *         "num_requests_per_month": 3000
          *     }
@@ -26392,6 +26397,18 @@ export interface components {
          * @description Request body for /cost/estimate endpoint.
          */
         CostEstimateRequest: {
+            /**
+             * Cache Creation Input Tokens
+             * @description Input tokens written to the prompt cache; counted within input_tokens
+             * @default 0
+             */
+            cache_creation_input_tokens: number;
+            /**
+             * Cache Read Input Tokens
+             * @description Input tokens read from the prompt cache; counted within input_tokens
+             * @default 0
+             */
+            cache_read_input_tokens: number;
             /**
              * Input Tokens
              * @description Expected input tokens per request
@@ -26417,17 +26434,65 @@ export interface components {
              * @description Expected output tokens per request
              */
             output_tokens: number;
+            /**
+             * Reasoning Tokens
+             * @description Reasoning tokens the model emits; counted within output_tokens
+             * @default 0
+             */
+            reasoning_tokens: number;
         };
         /**
          * CostEstimateResponse
          * @description Response body for /cost/estimate endpoint.
          */
         CostEstimateResponse: {
+            /**
+             * Cache Creation Cost Per Request
+             * @description Cache-write share of input_cost_per_request
+             * @default 0
+             */
+            cache_creation_cost_per_request: number;
+            /**
+             * Cache Creation Input Token Cost
+             * @description Rate billed per cache-write token
+             */
+            cache_creation_input_token_cost?: number | null;
+            /**
+             * Cache Creation Input Tokens
+             * @default 0
+             */
+            cache_creation_input_tokens: number;
+            /**
+             * Cache Read Cost Per Request
+             * @description Cache-read share of input_cost_per_request
+             * @default 0
+             */
+            cache_read_cost_per_request: number;
+            /**
+             * Cache Read Input Token Cost
+             * @description Rate billed per cache-read token
+             */
+            cache_read_input_token_cost?: number | null;
+            /**
+             * Cache Read Input Tokens
+             * @default 0
+             */
+            cache_read_input_tokens: number;
             /**
              * Cost Per Request
              * @description Total cost per request (includes margin)
              */
             cost_per_request: number;
+            /**
+             * Daily Cache Creation Cost
+             * @description Cache-write share of daily_input_cost
+             */
+            daily_cache_creation_cost?: number | null;
+            /**
+             * Daily Cache Read Cost
+             * @description Cache-read share of daily_input_cost
+             */
+            daily_cache_read_cost?: number | null;
             /**
              * Daily Cost
              * @description Total daily cost (includes margin)
@@ -26448,6 +26513,11 @@ export interface components {
              * @description Daily output token cost
              */
             daily_output_cost?: number | null;
+            /**
+             * Daily Reasoning Cost
+             * @description Reasoning share of daily_output_cost
+             */
+            daily_reasoning_cost?: number | null;
             /**
              * Input Cost Per Request
              * @description Input token cost per request (before margin)
@@ -26465,6 +26535,16 @@ export interface components {
             margin_cost_per_request: number;
             /** Model */
             model: string;
+            /**
+             * Monthly Cache Creation Cost
+             * @description Cache-write share of monthly_input_cost
+             */
+            monthly_cache_creation_cost?: number | null;
+            /**
+             * Monthly Cache Read Cost
+             * @description Cache-read share of monthly_input_cost
+             */
+            monthly_cache_read_cost?: number | null;
             /**
              * Monthly Cost
              * @description Total monthly cost (includes margin)
@@ -26485,10 +26565,20 @@ export interface components {
              * @description Monthly output token cost
              */
             monthly_output_cost?: number | null;
+            /**
+             * Monthly Reasoning Cost
+             * @description Reasoning share of monthly_output_cost
+             */
+            monthly_reasoning_cost?: number | null;
             /** Num Requests Per Day */
             num_requests_per_day?: number | null;
             /** Num Requests Per Month */
             num_requests_per_month?: number | null;
+            /**
+             * Output Cost Per Reasoning Token
+             * @description Rate billed per reasoning token
+             */
+            output_cost_per_reasoning_token?: number | null;
             /**
              * Output Cost Per Request
              * @description Output token cost per request (before margin)
@@ -26500,6 +26590,17 @@ export interface components {
             output_tokens: number;
             /** Provider */
             provider?: string | null;
+            /**
+             * Reasoning Cost Per Request
+             * @description Reasoning share of output_cost_per_request
+             * @default 0
+             */
+            reasoning_cost_per_request: number;
+            /**
+             * Reasoning Tokens
+             * @default 0
+             */
+            reasoning_tokens: number;
         };
         /** CreateCredentialItem */
         CreateCredentialItem: {

From 7bff9bf9a2594d3cd5dd6a80a44e4e3b1cd38f61 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 16:22:32 -0700
Subject: [PATCH 047/223] fix(batches): handle provider cancellation and file
 cleanup gaps

---
 litellm/llms/bedrock/files/transformation.py  | 70 ++++++++------
 tests/e2e/batches/COVERAGE.md                 |  7 +-
 tests/e2e/batches/batch_cleanup.py            | 63 +++++++++---
 tests/e2e/batches/test_batch_cleanup.py       | 69 +++++++++++++-
 tests/e2e/batches/test_batches_e2e.py         | 14 +--
 .../test_bedrock_files_transformation.py      | 95 ++++++++++++++++---
 6 files changed, 258 insertions(+), 60 deletions(-)

diff --git a/litellm/llms/bedrock/files/transformation.py b/litellm/llms/bedrock/files/transformation.py
index 33b27943ad8..90b539ff37c 100644
--- a/litellm/llms/bedrock/files/transformation.py
+++ b/litellm/llms/bedrock/files/transformation.py
@@ -7,7 +7,7 @@ from contextlib import suppress
 from functools import cache
 from itertools import chain
 from types import MappingProxyType
-from typing import Any, Final, TypeAlias, TypedDict
+from typing import Any, Final, Literal, TypeAlias, TypedDict
 from urllib.parse import unquote
 
 import httpx
@@ -60,11 +60,8 @@ from litellm.utils import get_llm_provider
 from ..base_aws_llm import BaseAWSLLM
 from ..common_utils import BedrockError, merge_bedrock_aws_request_params, resolve_s3_encryption_key_id
 
-# litellm_params key used to hand the SigV4-signed GET headers from
-# `transform_file_content_request` to `validate_environment` (the only hook
-# the shared file-content HTTP handler exposes for setting request headers).
-# Same pattern as the `upload_url` handoff in `transform_create_file_request`.
-S3_SIGNED_GET_HEADERS_PARAM: Final = "_s3_signed_get_headers"
+S3_SIGNED_REQUEST_HEADERS_PARAM: Final = "_s3_signed_request_headers"
+S3_DELETE_FILE_ID_PARAM: Final = "_s3_delete_file_id"
 
 # litellm_params key carrying the size of the body uploaded to S3, handed from
 # `transform_create_file_request` to `transform_create_file_response`.
@@ -291,7 +288,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
     ) -> dict:
         result: Final[dict[str, object]] = {}
         result.update(headers)
-        signed_headers: Final = litellm_params.pop(S3_SIGNED_GET_HEADERS_PARAM, None)
+        signed_headers: Final = litellm_params.pop(S3_SIGNED_REQUEST_HEADERS_PARAM, None)
         if isinstance(signed_headers, Mapping):
             result.update(signed_headers)  # any-ok: untyped handoff headers
         # otherwise no extra headers - AWS credentials are handled by BaseAWSLLM
@@ -1187,18 +1184,31 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
     def transform_delete_file_request(
         self,
         file_id: str,
-        optional_params: dict,
-        litellm_params: dict,
-    ) -> tuple[str, dict]:
-        raise NotImplementedError("BedrockFilesConfig does not support file deletion")
+        optional_params: Mapping[str, object],
+        litellm_params: MutableMapping[str, object],
+    ) -> tuple[str, dict[str, str]]:
+        request: Final = self._transform_s3_file_request(
+            file_id=file_id, method="DELETE", optional_params=optional_params, litellm_params=litellm_params
+        )
+        litellm_params[S3_DELETE_FILE_ID_PARAM] = file_id
+        return request
 
     def transform_delete_file_response(
         self,
         raw_response: httpx.Response,
         logging_obj: LiteLLMLoggingObj,
-        litellm_params: dict,
+        litellm_params: Mapping[str, object],
     ) -> FileDeleted:
-        raise NotImplementedError("BedrockFilesConfig does not support file deletion")
+        if raw_response.status_code != 204:
+            raise BedrockError(
+                status_code=raw_response.status_code if raw_response.status_code >= 400 else 502,
+                message=raw_response.text or f"S3 file deletion returned HTTP {raw_response.status_code}",
+                headers=raw_response.headers,
+            )
+        file_id: Final = litellm_params.get(S3_DELETE_FILE_ID_PARAM)
+        if not isinstance(file_id, str) or not file_id:
+            raise ValueError("Missing file id for Bedrock file deletion response")
+        return FileDeleted(id=file_id, deleted=True, object="file")
 
     def transform_list_files_request(
         self,
@@ -1233,6 +1243,18 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
         if not file_id:
             raise ValueError("file_id is required for Bedrock file content retrieval")
 
+        return self._transform_s3_file_request(
+            file_id=file_id, method="GET", optional_params=optional_params, litellm_params=litellm_params
+        )
+
+    def _transform_s3_file_request(
+        self,
+        *,
+        file_id: str,
+        method: Literal["GET", "DELETE"],
+        optional_params: Mapping[str, object],
+        litellm_params: MutableMapping[str, object],
+    ) -> tuple[str, dict[str, str]]:
         s3_uri: Final = extract_s3_uri_from_file_id(file_id)
         bucket_name, object_key = _validate_file_id_against_configured_buckets(
             s3_uri=s3_uri,
@@ -1240,40 +1262,32 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
             allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids(litellm_params),
         )
 
-        # The shared file-content handler passes optional_params={}, so AWS
-        # credentials/region arrive via litellm_params here (unlike the upload
-        # path). s3_region_name wins over aws_region_name, same priority as
-        # get_complete_file_url above.
-        merged_params: Final[dict[str, object]] = {}
-        merged_params.update(litellm_params)
-        merged_params.update(optional_params)
-        request_params: Final = _BedrockS3RequestParams.model_validate(merged_params)
+        request_params: Final = _BedrockS3RequestParams.model_validate({**litellm_params, **optional_params})
 
         region_preference: Final = request_params.s3_region_name or request_params.aws_region_name
         region_params: Final[dict[str, str | None]] = {"aws_region_name": region_preference}
         aws_region_name: Final = self._get_aws_region_name(optional_params=region_params, model="")
 
-        s3_endpoint_url = (
+        s3_endpoint_url: Final = (
             request_params.s3_endpoint_url or f"https://s3.{aws_region_name}.{get_aws_dns_suffix(aws_region_name)}"
         ).rstrip("/")
         url: Final = f"{s3_endpoint_url}/{bucket_name}/{encode_s3_object_key_for_url(object_key)}"
 
-        litellm_params[S3_SIGNED_GET_HEADERS_PARAM] = self._sign_s3_get_request(
+        litellm_params[S3_SIGNED_REQUEST_HEADERS_PARAM] = self._sign_s3_request_without_body(
             api_base=url,
             aws_region_name=aws_region_name,
             request_params=request_params,
+            method=method,
         )
         return url, {}
 
-    def _sign_s3_get_request(
+    def _sign_s3_request_without_body(
         self,
         api_base: str,
         aws_region_name: str,
         request_params: _BedrockS3RequestParams,
+        method: Literal["GET", "DELETE"] = "GET",
     ) -> dict[str, str]:
-        """
-        SigV4-sign an S3 GetObject request, mirroring `_sign_s3_request` (PUT).
-        """
         try:
             import hashlib
 
@@ -1297,7 +1311,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
 
         empty_body_hash: Final = hashlib.sha256(b"").hexdigest()
         aws_request: Final = AWSRequest(  # any-ok: botocore AWSRequest is untyped
-            method="GET",
+            method=method,
             url=api_base,
             headers={"x-amz-content-sha256": empty_body_hash},
         )
diff --git a/tests/e2e/batches/COVERAGE.md b/tests/e2e/batches/COVERAGE.md
index f95ea1f2649..ca44fc95e25 100644
--- a/tests/e2e/batches/COVERAGE.md
+++ b/tests/e2e/batches/COVERAGE.md
@@ -131,7 +131,12 @@ failures up to three times. Teardown attempts every registered cleanup before
 reporting failures as test errors. Already deleted files and batches that are
 terminal are safe to clean up again. Managed batch cancellation polls for up to eleven minutes
 before input deletion: the ten-minute provider window plus a propagation margin.
-Raw and model-encoded inputs can be deleted after cancellation is accepted
+Accepted cancellation may still report validating or in_progress while the provider
+updates its state. Raw and model-encoded batches are polled until cancelling or
+terminal before input deletion. OpenAI and Azure lifecycle cleanup also deletes
+output and error files returned by terminal batches. Bedrock deletion uses a signed S3 DELETE
+restricted to the configured storage buckets and managed file prefixes. The low-RPM
+test submits with its restricted key and cleans up with the test administrator key
 
 Azure input uploads request `expires_after` anchored to `created_at` with
 `seconds=1209600`, and the lifecycle tests check the returned expiry. This is a
diff --git a/tests/e2e/batches/batch_cleanup.py b/tests/e2e/batches/batch_cleanup.py
index 722df0c29bc..9284882ad82 100644
--- a/tests/e2e/batches/batch_cleanup.py
+++ b/tests/e2e/batches/batch_cleanup.py
@@ -1,16 +1,17 @@
+from builtins import ExceptionGroup
 from collections.abc import Callable
 from itertools import count
 from time import monotonic, sleep
 from typing import Final, Protocol
 
-from pydantic import BaseModel
-
 from batch_client import BatchObject, FileDeleteResponse
 from capabilities import is_managed_id
 from e2e_http import NetworkError, RateLimitedError, Result, Success, UnknownApiError
+from pydantic import BaseModel
 
 CLEANUP_DELAYS: Final = (1.0, 2.0, 4.0)
 BATCH_TERMINAL_STATUSES: Final = frozenset({"completed", "failed", "expired", "cancelled"})
+BATCH_PENDING_STATUSES: Final = frozenset({"validating", "in_progress", "finalizing", "cancelling"})
 BATCH_CANCEL_TIMEOUT_SECONDS: Final = 660.0
 BATCH_CANCEL_POLL_SECONDS: Final = 10.0
 
@@ -63,6 +64,7 @@ def cleanup_batch(
     *,
     key: str,
     provider: str | None = None,
+    delete_output_files: bool = False,
     wait: Callable[[float], None] = sleep,
     clock: Callable[[], float] = monotonic,
 ) -> None:
@@ -72,18 +74,28 @@ def cleanup_batch(
         f"Retrieve batch {batch_id} for cleanup",
     )
     if fetched.status in BATCH_TERMINAL_STATUSES:
+        if delete_output_files:
+            _cleanup_batch_outputs(client, fetched, key=key, provider=provider)
         return
     if fetched.status == "cancelling" and not needs_terminal_state:
         return
-    if fetched.status != "cancelling":
-        result: Final = cleanup_result(lambda: client.cancel_batch(batch_id, key=key, provider=provider))
-        if not (isinstance(result, UnknownApiError) and result.status_code in {400, 409}):
-            cancelled: Final = _require_cleanup_success(result, f"Cancel batch {batch_id}")
-            assert cancelled.status in BATCH_TERMINAL_STATUSES | {"cancelling"}, (
-                f"Cancel batch {batch_id} left status {cancelled.status}"
-            )
-            if not needs_terminal_state:
-                return
+    result: Final = (
+        Success(status_code=200, data=fetched)
+        if fetched.status == "cancelling"
+        else cleanup_result(lambda: client.cancel_batch(batch_id, key=key, provider=provider))
+    )
+    conflicted: Final = isinstance(result, UnknownApiError) and result.status_code in {400, 409}
+    if not conflicted:
+        cancelled: Final = _require_cleanup_success(result, f"Cancel batch {batch_id}")
+        assert cancelled.status in BATCH_TERMINAL_STATUSES | BATCH_PENDING_STATUSES, (
+            f"Cancel batch {batch_id} left status {cancelled.status}"
+        )
+        if cancelled.status in BATCH_TERMINAL_STATUSES:
+            if delete_output_files:
+                _cleanup_batch_outputs(client, cancelled, key=key, provider=provider)
+            return
+        if cancelled.status == "cancelling" and not needs_terminal_state:
+            return
     deadline: Final = clock() + BATCH_CANCEL_TIMEOUT_SECONDS
     for current in (
         _require_cleanup_success(
@@ -93,11 +105,36 @@ def cleanup_batch(
         for _ in count()
     ):
         if current.status in BATCH_TERMINAL_STATUSES:
+            if delete_output_files:
+                _cleanup_batch_outputs(client, current, key=key, provider=provider)
             return
-        assert current.status == "cancelling", f"Cancel batch {batch_id} left status {current.status}"
-        if not needs_terminal_state:
+        assert current.status in ({"cancelling"} if conflicted else BATCH_PENDING_STATUSES), (
+            f"Cancel batch {batch_id} left status {current.status}"
+        )
+        if current.status == "cancelling" and not needs_terminal_state:
             return
         assert clock() < deadline, (
             f"Batch {batch_id} cancellation did not finish within {BATCH_CANCEL_TIMEOUT_SECONDS}s"
         )
         wait(BATCH_CANCEL_POLL_SECONDS)
+
+
+def _cleanup_batch_outputs(client: BatchCleanupClient, batch: BatchObject, *, key: str, provider: str | None) -> None:
+    errors: Final = tuple(
+        error
+        for file_id in dict.fromkeys((batch.output_file_id, batch.error_file_id))
+        if file_id is not None and file_id != batch.input_file_id
+        if (error := _output_cleanup_error(client, file_id, key=key, provider=provider)) is not None
+    )
+    if errors:
+        raise ExceptionGroup(f"Batch {batch.id} output cleanup failed", errors)
+
+
+def _output_cleanup_error(
+    client: BatchCleanupClient, file_id: str, *, key: str, provider: str | None
+) -> Exception | None:
+    try:
+        cleanup_file(client, file_id, key=key, provider=provider)
+    except Exception as error:
+        return error
+    return None
diff --git a/tests/e2e/batches/test_batch_cleanup.py b/tests/e2e/batches/test_batch_cleanup.py
index 66b7079ccc2..a875aee719b 100644
--- a/tests/e2e/batches/test_batch_cleanup.py
+++ b/tests/e2e/batches/test_batch_cleanup.py
@@ -4,7 +4,6 @@ from dataclasses import dataclass, field
 from typing import Final
 
 import pytest
-
 from batch_cleanup import BATCH_CANCEL_TIMEOUT_SECONDS, CLEANUP_DELAYS, cleanup_batch, cleanup_file, cleanup_result
 from batch_client import AZURE_FILE_EXPIRY_SECONDS, BatchObject, FileDeleteResponse, batch_upload_form
 from capabilities import CAPABILITIES, Capability
@@ -219,6 +218,74 @@ class TestBatchCancellation:
         cleanup_batch(client, "batch-1", key="test-key", provider="azure")
         client.calls.assert_done()
 
+    @pytest.mark.parametrize("batch_id", ["batch-1", MANAGED_BATCH_ID])
+    @pytest.mark.parametrize("pending_status", ["validating", "in_progress"])
+    def test_accepted_cancellation_waits_through_stale_provider_status(
+        self, batch_id: str, pending_status: str
+    ) -> None:
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(
+                iter(
+                    (
+                        f"retrieve vertex_ai {batch_id}",
+                        f"cancel vertex_ai {batch_id}",
+                        f"retrieve vertex_ai {batch_id}",
+                        f"retrieve vertex_ai {batch_id}",
+                        f"retrieve vertex_ai {batch_id}",
+                        "delete vertex_ai file-1",
+                        "delete key test-key",
+                    )
+                )
+            ),
+            batches=iter((batch("validating"), batch(pending_status), batch(pending_status), batch("cancelled"))),
+            cancellations=iter((batch(pending_status),)),
+            files=iter((deleted_file(),)),
+        )
+        delays: Final = ExpectedCalls(iter((10.0, 10.0)))
+        manager: Final = ResourceManager(client=client, strict_cleanup=True)
+        key: Final = manager.key()
+        manager.defer(lambda: cleanup_file(client, "file-1", key=key, provider="vertex_ai"))
+        manager.defer(lambda: cleanup_batch(client, batch_id, key=key, provider="vertex_ai", wait=delays))
+        manager.teardown()
+        client.calls.assert_done()
+        delays.assert_done()
+
+    @pytest.mark.parametrize("output_delete_fails", [False, True])
+    def test_batch_that_completed_before_cleanup_deletes_output_and_error_files(
+        self, output_delete_fails: bool
+    ) -> None:
+        client: Final = CleanupClient(
+            calls=ExpectedCalls(
+                iter(("retrieve openai batch-1", "delete openai file-output", "delete openai file-error"))
+            ),
+            batches=iter(
+                (
+                    Success(
+                        status_code=200,
+                        data=BatchObject(
+                            id="batch-1",
+                            status="completed",
+                            input_file_id="file-input",
+                            output_file_id="file-output",
+                            error_file_id="file-error",
+                        ),
+                    ),
+                )
+            ),
+            files=iter(
+                (
+                    UnknownApiError(status_code=403, body="forbidden") if output_delete_fails else deleted_file(),
+                    deleted_file(),
+                )
+            ),
+        )
+        if output_delete_fails:
+            with pytest.raises(ExceptionGroup, match="output cleanup failed"):
+                cleanup_batch(client, "batch-1", key="test-key", provider="openai", delete_output_files=True)
+        else:
+            cleanup_batch(client, "batch-1", key="test-key", provider="openai", delete_output_files=True)
+        client.calls.assert_done()
+
     @pytest.mark.parametrize("status", ["completed", "in_progress"])
     def test_cancellation_conflict_is_accepted_only_when_batch_became_inactive(self, status: str) -> None:
         client: Final = CleanupClient(
diff --git a/tests/e2e/batches/test_batches_e2e.py b/tests/e2e/batches/test_batches_e2e.py
index 1b4a6ed266f..c4b699190b8 100644
--- a/tests/e2e/batches/test_batches_e2e.py
+++ b/tests/e2e/batches/test_batches_e2e.py
@@ -25,7 +25,7 @@ from datetime import datetime, timedelta, timezone
 import pytest
 from pydantic import BaseModel
 
-from e2e_config import PROXY_BASE_URL, unique_marker
+from e2e_config import MASTER_KEY, PROXY_BASE_URL, unique_marker
 
 from batch_cleanup import cleanup_batch, cleanup_file
 from batch_client import (
@@ -257,7 +257,9 @@ def test_batch_lifecycle(
     require_successful_call(created)
     batch = BatchObject.model_validate_json(created.body)
     resources.defer(
-        lambda: cleanup_batch(client, batch.id, key=key, provider=provider)
+        lambda: cleanup_batch(
+            client, batch.id, key=key, provider=provider, delete_output_files=cap.provider in {"openai", "azure"}
+        )
     )
 
     assert batch.id, f"create returned no batch id (body={created.body[:200]})"
@@ -801,7 +803,7 @@ class TestBatchEnqueuedTokenLimit:
     """
 
     def _upload_batch_file(
-        self, client: BatchClient, resources: ResourceManager, key: str
+        self, client: BatchClient, resources: ResourceManager, key: str, *, cleanup_key: str | None = None
     ) -> FileObject:
         file = unwrap(
             client.upload_file(
@@ -811,7 +813,7 @@ class TestBatchEnqueuedTokenLimit:
                 key=key,
             )
         )
-        resources.defer(lambda: cleanup_file(client, file.id, key=key))
+        resources.defer(lambda: cleanup_file(client, file.id, key=cleanup_key or key))
         return file
 
     def _generate_enqueued_key(
@@ -848,7 +850,7 @@ class TestBatchEnqueuedTokenLimit:
             marker="rpm",
             rpm_limit=BATCH_RL_RPM_LIMIT,
         )
-        file = self._upload_batch_file(client, resources, key)
+        file = self._upload_batch_file(client, resources, key, cleanup_key=MASTER_KEY)
 
         created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key)
 
@@ -859,7 +861,7 @@ class TestBatchEnqueuedTokenLimit:
         )
         require_successful_call(created)
         batch = BatchObject.model_validate_json(created.body)
-        resources.defer(lambda: cleanup_batch(client, batch.id, key=key))
+        resources.defer(lambda: cleanup_batch(client, batch.id, key=MASTER_KEY, delete_output_files=True))
 
     @pytest.mark.covers(
         "quota_management.ratelimit.batch_enqueued_tokens.blocks_when_exhausted",
diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
index 541c0db15d8..2c02a58663e 100644
--- a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
+++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
@@ -5,6 +5,8 @@ Test bedrock files transformation functionality
 import json
 import os
 from collections.abc import Mapping
+from contextlib import AsyncExitStack, closing
+from typing import Final
 from unittest.mock import MagicMock
 from urllib.parse import unquote, urlparse
 
@@ -1855,6 +1857,77 @@ class TestBedrockBatchNonChatEndpointRecords:
         ]
 
 
+class TestBedrockFileDeletion:
+    S3_URI: Final = "s3://my-bucket/litellm-bedrock-files-model-abc.jsonl"
+    URL: Final = "https://s3.us-west-2.amazonaws.com/my-bucket/litellm-bedrock-files-model-abc.jsonl"
+
+    def test_delete_file_sends_signed_delete_and_returns_matching_id(self, monkeypatch: pytest.MonkeyPatch) -> None:
+        import httpx
+        import respx
+
+        import litellm
+        from litellm.llms.custom_httpx.http_handler import HTTPHandler
+
+        monkeypatch.setenv("AWS_S3_BUCKET_NAME", "my-bucket")
+        with respx.mock, closing(HTTPHandler()) as client:
+            route: Final = respx.delete(self.URL).mock(return_value=httpx.Response(204))
+            deleted: Final = litellm.file_delete(
+                file_id=self.S3_URI, custom_llm_provider="bedrock", client=client,
+                aws_access_key_id="AKIAEXAMPLE", aws_secret_access_key="test-secret", aws_region_name="us-west-2",
+            )
+        assert route.call_count == 1
+        request: Final = route.calls[0].request
+        assert request.content == b""
+        signed: Final = AWSRequest(method="DELETE", url=self.URL, headers={
+            "X-Amz-Date": request.headers["X-Amz-Date"],
+            "X-Amz-Content-SHA256": request.headers["X-Amz-Content-SHA256"],
+        })
+        signed.context["timestamp"] = request.headers["X-Amz-Date"]
+        auth: Final = S3SigV4Auth(Credentials("AKIAEXAMPLE", "test-secret"), "s3", "us-west-2")
+        signature: Final = auth.signature(auth.string_to_sign(signed, auth.canonical_request(signed)), signed)
+        assert request.headers["Authorization"].endswith(f"Signature={signature}")
+        assert deleted.id == self.S3_URI and deleted.deleted is True
+
+    @pytest.mark.asyncio
+    async def test_adelete_file_propagates_s3_errors(self, monkeypatch: pytest.MonkeyPatch) -> None:
+        import httpx
+        import respx
+
+        import litellm
+        from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+
+        monkeypatch.setenv("AWS_S3_BUCKET_NAME", "my-bucket")
+        monkeypatch.setenv("DISABLE_AIOHTTP_TRANSPORT", "True")
+        async with AsyncExitStack() as stack:
+            client: Final = AsyncHTTPHandler()
+            stack.push_async_callback(client.close)
+            with respx.mock:
+                route: Final = respx.delete(self.URL).mock(
+                    return_value=httpx.Response(403, content=b"<Error><Code>AccessDenied</Code></Error>")
+                )
+                from litellm.llms.bedrock.common_utils import BedrockError
+
+                with pytest.raises(BedrockError, match="AccessDenied"):
+                    await litellm.afile_delete(
+                        file_id=self.S3_URI, custom_llm_provider="bedrock", client=client,
+                        aws_access_key_id="AKIAEXAMPLE", aws_secret_access_key="test-secret", aws_region_name="us-west-2",
+                    )
+        assert route.call_count == 1
+
+    @pytest.mark.parametrize("file_id, message", [
+        ("s3://other-bucket/litellm-bedrock-files-model-abc.jsonl", "configured storage bucket"),
+        ("s3://my-bucket/private/data.jsonl", "LiteLLM-managed"),
+    ])
+    def test_delete_rejects_untrusted_objects_before_signing(
+        self, file_id: str, message: str, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
+        from litellm.llms.bedrock.files.transformation import BedrockFilesConfig
+
+        monkeypatch.setenv("AWS_S3_BUCKET_NAME", "my-bucket")
+        with pytest.raises(ValueError, match=message):
+            BedrockFilesConfig().transform_delete_file_request(file_id=file_id, optional_params={}, litellm_params={})
+
+
 class TestBedrockFileContentTransformation:
     """SigV4-signed S3 GetObject retrieval of Bedrock batch output files."""
 
@@ -1873,7 +1946,7 @@ class TestBedrockFileContentTransformation:
         import hashlib
 
         from litellm.llms.bedrock.files.transformation import (
-            S3_SIGNED_GET_HEADERS_PARAM,
+            S3_SIGNED_REQUEST_HEADERS_PARAM,
             BedrockFilesConfig,
         )
 
@@ -1889,7 +1962,7 @@ class TestBedrockFileContentTransformation:
         assert url == self.EXPECTED_URL
         assert params == {}
 
-        signed_headers = litellm_params[S3_SIGNED_GET_HEADERS_PARAM]
+        signed_headers = litellm_params[S3_SIGNED_REQUEST_HEADERS_PARAM]
         content_hashes = {
             value
             for name, value in signed_headers.items()
@@ -2139,7 +2212,7 @@ class TestBedrockFileContentTransformation:
     def test_s3_region_name_wins_for_content_signing(self, monkeypatch):
         """s3_region_name must override aws_region_name for both the URL and the signature."""
         from litellm.llms.bedrock.files.transformation import (
-            S3_SIGNED_GET_HEADERS_PARAM,
+            S3_SIGNED_REQUEST_HEADERS_PARAM,
             BedrockFilesConfig,
         )
 
@@ -2154,17 +2227,17 @@ class TestBedrockFileContentTransformation:
         )
 
         assert url.startswith("https://s3.eu-west-1.amazonaws.com/")
-        authorization = litellm_params[S3_SIGNED_GET_HEADERS_PARAM]["Authorization"]
+        authorization = litellm_params[S3_SIGNED_REQUEST_HEADERS_PARAM]["Authorization"]
         assert "/eu-west-1/s3/aws4_request" in authorization
 
     def test_validate_environment_merges_and_pops_signed_get_headers(self):
         from litellm.llms.bedrock.files.transformation import (
-            S3_SIGNED_GET_HEADERS_PARAM,
+            S3_SIGNED_REQUEST_HEADERS_PARAM,
             BedrockFilesConfig,
         )
 
         litellm_params = {
-            S3_SIGNED_GET_HEADERS_PARAM: {"Authorization": "AWS4-HMAC-SHA256 test"}
+            S3_SIGNED_REQUEST_HEADERS_PARAM: {"Authorization": "AWS4-HMAC-SHA256 test"}
         }
 
         headers = BedrockFilesConfig().validate_environment(
@@ -2179,7 +2252,7 @@ class TestBedrockFileContentTransformation:
             "x-custom": "kept",
             "Authorization": "AWS4-HMAC-SHA256 test",
         }
-        assert S3_SIGNED_GET_HEADERS_PARAM not in litellm_params
+        assert S3_SIGNED_REQUEST_HEADERS_PARAM not in litellm_params
 
     def test_transform_file_content_response_wraps_binary_content(self):
         import httpx
@@ -2379,7 +2452,7 @@ class TestBedrockFilesS3SignatureEncoding:
         self, monkeypatch: pytest.MonkeyPatch
     ) -> None:
         from litellm.llms.bedrock.files.transformation import (
-            S3_SIGNED_GET_HEADERS_PARAM,
+            S3_SIGNED_REQUEST_HEADERS_PARAM,
             BedrockFilesConfig,
         )
 
@@ -2402,7 +2475,7 @@ class TestBedrockFilesS3SignatureEncoding:
             method="GET",
             url=url,
             body=None,
-            headers=litellm_params[S3_SIGNED_GET_HEADERS_PARAM],
+            headers=litellm_params[S3_SIGNED_REQUEST_HEADERS_PARAM],
         )
 
 
@@ -2457,7 +2530,7 @@ def test_sign_s3_request_assumes_role_with_external_id(monkeypatch):
     assert "ASIAFILESPUTROLE" in authorization
 
 
-def test_sign_s3_get_request_assumes_role_with_external_id(monkeypatch):
+def test_sign_s3_request_without_body_assumes_role_with_external_id(monkeypatch):
     """A trust policy requiring sts:ExternalId must be satisfied when signing the S3 download request."""
     import datetime
     from unittest.mock import patch
@@ -2504,7 +2577,7 @@ def test_sign_s3_get_request_assumes_role_with_external_id(monkeypatch):
     assert request_params.aws_external_id == "external-id-files-get"
 
     with patch.object(boto3, "client", return_value=FakeSTSClient()):
-        signed_headers = BedrockFilesConfig()._sign_s3_get_request(
+        signed_headers = BedrockFilesConfig()._sign_s3_request_without_body(
             api_base="https://s3.us-east-1.amazonaws.com/safe-bucket/litellm-bedrock-files-model-id-abc.jsonl",
             aws_region_name="us-east-1",
             request_params=request_params,

From 4ab5719ff9e0770ecb9f2d1b53c4caf58f19e5db Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 16:36:27 -0700
Subject: [PATCH 048/223] test(batches): use immutable expectations with
 explicit test doubles

---
 litellm/files/main.py                   |   2 +-
 tests/e2e/batches/test_batch_cleanup.py | 187 ++++++++++++------------
 2 files changed, 93 insertions(+), 96 deletions(-)

diff --git a/litellm/files/main.py b/litellm/files/main.py
index 19da77b7364..218518eb3cd 100644
--- a/litellm/files/main.py
+++ b/litellm/files/main.py
@@ -31,7 +31,7 @@ FileCreateProvider = Literal[
 FileRetrieveProvider = Literal[
     "openai", "azure", "gemini", "vertex_ai", "hosted_vllm", "litellm_proxy", "manus", "anthropic"
 ]
-FileDeleteProvider = Literal["openai", "azure", "gemini", "litellm_proxy", "manus", "anthropic"]
+FileDeleteProvider = Literal["openai", "azure", "gemini", "bedrock", "litellm_proxy", "manus", "anthropic"]
 FileListProvider = Literal["openai", "azure", "litellm_proxy", "manus", "anthropic"]
 import litellm
 from litellm import get_secret_str
diff --git a/tests/e2e/batches/test_batch_cleanup.py b/tests/e2e/batches/test_batch_cleanup.py
index a875aee719b..d0038139dcf 100644
--- a/tests/e2e/batches/test_batch_cleanup.py
+++ b/tests/e2e/batches/test_batch_cleanup.py
@@ -1,7 +1,7 @@
 from builtins import ExceptionGroup
-from collections.abc import Iterator
-from dataclasses import dataclass, field
+from collections.abc import Callable
 from typing import Final
+from unittest.mock import Mock, call
 
 import pytest
 from batch_cleanup import BATCH_CANCEL_TIMEOUT_SECONDS, CLEANUP_DELAYS, cleanup_batch, cleanup_file, cleanup_result
@@ -15,35 +15,43 @@ MANAGED_FILE_ID: Final = "bGl0ZWxsbV9wcm94eTtmaWxlLTE="
 MANAGED_BATCH_ID: Final = "bGl0ZWxsbV9wcm94eTtiYXRjaC0x"
 
 
-@dataclass(frozen=True, slots=True)
 class ExpectedCalls[T]:
-    values: Iterator[T]
+    def __init__(self, values: tuple[T, ...]) -> None:
+        self.values: Final = values
+        self.recorder: Final = Mock()
 
     def __call__(self, value: T) -> None:
-        assert next(self.values, None) == value
+        self.recorder(value)
 
     def assert_done(self) -> None:
-        assert tuple(self.values) == ()
+        assert tuple(self.recorder.call_args_list) == tuple(call(value) for value in self.values)
 
 
-@dataclass(frozen=True, slots=True)
 class CleanupClient:
-    calls: ExpectedCalls[str]
-    files: Iterator[Result[FileDeleteResponse]] = field(default_factory=lambda: iter(()))
-    batches: Iterator[Result[BatchObject]] = field(default_factory=lambda: iter(()))
-    cancellations: Iterator[Result[BatchObject]] = field(default_factory=lambda: iter(()))
+    def __init__(
+        self,
+        *,
+        calls: ExpectedCalls[str],
+        files: tuple[Result[FileDeleteResponse], ...] = (),
+        batches: tuple[Result[BatchObject], ...] = (),
+        cancellations: tuple[Result[BatchObject], ...] = (),
+    ) -> None:
+        self.calls: Final = calls
+        self.file_response: Final[Callable[[], Result[FileDeleteResponse]]] = Mock(side_effect=files)
+        self.batch_response: Final[Callable[[], Result[BatchObject]]] = Mock(side_effect=batches)
+        self.cancel_response: Final[Callable[[], Result[BatchObject]]] = Mock(side_effect=cancellations)
 
     def delete_file(self, file_id: str, *, key: str, provider: str | None = None) -> Result[FileDeleteResponse]:
         self.calls(f"delete {provider} {file_id}")
-        return next(self.files)
+        return self.file_response()
 
     def retrieve_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]:
         self.calls(f"retrieve {provider} {batch_id}")
-        return next(self.batches)
+        return self.batch_response()
 
     def cancel_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]:
         self.calls(f"cancel {provider} {batch_id}")
-        return next(self.cancellations)
+        return self.cancel_response()
 
     def generate_key(self, body: KeyGenerateBody) -> str:
         return "test-key"
@@ -68,17 +76,15 @@ class TestFileCleanup:
         response: Final = Success(
             status_code=200, data=FileDeleteResponse.model_validate({"id": MANAGED_FILE_ID, "object": "file"})
         )
-        client: Final = CleanupClient(
-            calls=ExpectedCalls(iter((f"delete None {MANAGED_FILE_ID}",))), files=iter((response,))
-        )
+        client: Final = CleanupClient(calls=ExpectedCalls((f"delete None {MANAGED_FILE_ID}",)), files=(response,))
         cleanup_file(client, MANAGED_FILE_ID, key="test-key")
         client.calls.assert_done()
 
     @pytest.mark.parametrize("file_id", ["file-1", MANAGED_FILE_ID])
     def test_a_success_status_without_a_deletion_confirmation_is_rejected(self, file_id: str) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter((f"delete None {file_id}",))),
-            files=iter((Success(status_code=200, data=FileDeleteResponse(id=file_id)),)),
+            calls=ExpectedCalls((f"delete None {file_id}",)),
+            files=(Success(status_code=200, data=FileDeleteResponse(id=file_id)),),
         )
         with pytest.raises(AssertionError, match="did not confirm deletion"):
             cleanup_file(client, file_id, key="test-key")
@@ -88,15 +94,15 @@ class TestFileCleanup:
     def test_deletes_raw_files_through_the_upload_provider(self, cap: Capability) -> None:
         expected_provider: Final = cap.provider if cap.scenario in {"model_param", "provider_fallback"} else None
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter((f"delete {expected_provider} file-1",))), files=iter((deleted_file(),))
+            calls=ExpectedCalls((f"delete {expected_provider} file-1",)), files=(deleted_file(),)
         )
         cleanup_file(client, "file-1", key="test-key", provider=cap.file_provider)
         client.calls.assert_done()
 
     def test_failed_delete_is_reported_after_remaining_resources_are_cleaned(self) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter(("delete azure file-1", "delete key test-key"))),
-            files=iter((UnknownApiError(status_code=403, body="secret response"),)),
+            calls=ExpectedCalls(("delete azure file-1", "delete key test-key")),
+            files=(UnknownApiError(status_code=403, body="secret response"),),
         )
         manager: Final = ResourceManager(client=client, strict_cleanup=True)
         key: Final = manager.key()
@@ -109,7 +115,7 @@ class TestFileCleanup:
 
     def test_success_response_must_confirm_deletion(self) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter(("delete None file-1",))), files=iter((deleted_file(deleted=False),))
+            calls=ExpectedCalls(("delete None file-1",)), files=(deleted_file(deleted=False),)
         )
         with pytest.raises(AssertionError, match="did not confirm deletion"):
             cleanup_file(client, "file-1", key="test-key")
@@ -117,16 +123,16 @@ class TestFileCleanup:
 
     def test_cleanup_is_idempotent_when_file_is_already_deleted(self) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter(("delete azure file-1",))),
-            files=iter((UnknownApiError(status_code=404, body="missing"),)),
+            calls=ExpectedCalls(("delete azure file-1",)),
+            files=(UnknownApiError(status_code=404, body="missing"),),
         )
         cleanup_file(client, "file-1", key="test-key", provider="azure")
         client.calls.assert_done()
 
     def test_default_resource_cleanup_keeps_existing_best_effort_behavior(self) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter(("delete None file-1", "delete key test-key"))),
-            files=iter((UnknownApiError(status_code=403, body="forbidden"),)),
+            calls=ExpectedCalls(("delete None file-1", "delete key test-key")),
+            files=(UnknownApiError(status_code=403, body="forbidden"),),
         )
         manager: Final = ResourceManager(client=client)
         key: Final = manager.key()
@@ -141,37 +147,39 @@ class TestCleanupRetries:
         [NetworkError(message="offline"), RateLimitedError(), UnknownApiError(status_code=503, body="unavailable")],
     )
     def test_transient_error_retries_and_returns_success(self, failure: Result[FileDeleteResponse]) -> None:
-        outcomes: Final = iter((failure, deleted_file()))
-        delays: Final = ExpectedCalls(iter((1.0,)))
-        result: Final[Result[FileDeleteResponse]] = cleanup_result(lambda: next(outcomes), wait=delays)
+        responses: Final = (failure, deleted_file())
+        outcomes: Final = Mock(side_effect=responses)
+        delays: Final = ExpectedCalls((1.0,))
+        result: Final[Result[FileDeleteResponse]] = cleanup_result(outcomes, wait=delays)
         assert isinstance(result, Success) and result.data.deleted
         delays.assert_done()
 
     def test_persistent_error_has_bounded_retries(self) -> None:
         failure: Final = UnknownApiError(status_code=503, body="unavailable")
-        outcomes: Final[Iterator[Result[FileDeleteResponse]]] = iter((failure,) * (len(CLEANUP_DELAYS) + 1))
-        delays: Final = ExpectedCalls(iter(CLEANUP_DELAYS))
-        result: Final[Result[FileDeleteResponse]] = cleanup_result(lambda: next(outcomes), wait=delays)
+        outcomes: Final = Mock(return_value=failure)
+        delays: Final = ExpectedCalls(CLEANUP_DELAYS)
+        result: Final[Result[FileDeleteResponse]] = cleanup_result(outcomes, wait=delays)
         assert result is failure
         delays.assert_done()
-        assert next(outcomes, None) is None
+        assert outcomes.call_count == len(CLEANUP_DELAYS) + 1
 
     def test_permanent_error_is_not_retried(self) -> None:
         failure: Final = UnknownApiError(status_code=403, body="forbidden")
-        outcomes: Final = iter((failure, deleted_file()))
-        delays: Final = ExpectedCalls[float](iter(()))
-        assert cleanup_result(lambda: next(outcomes), wait=delays) is failure
+        responses: Final = (failure, deleted_file())
+        outcomes: Final = Mock(side_effect=responses)
+        delays: Final = ExpectedCalls[float](())
+        assert cleanup_result(outcomes, wait=delays) is failure
         delays.assert_done()
-        assert isinstance(next(outcomes), Success)
+        assert outcomes.call_count == 1
 
 
 class TestBatchCancellation:
     def test_cancelling_batch_is_polled_until_terminal_without_cancelling_again(self) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter((f"retrieve None {MANAGED_BATCH_ID}",) * 3)),
-            batches=iter((batch("cancelling"), batch("cancelling"), batch("cancelled"))),
+            calls=ExpectedCalls((f"retrieve None {MANAGED_BATCH_ID}",) * 3),
+            batches=(batch("cancelling"), batch("cancelling"), batch("cancelled")),
         )
-        delays: Final = ExpectedCalls(iter((10.0,)))
+        delays: Final = ExpectedCalls((10.0,))
         cleanup_batch(client, MANAGED_BATCH_ID, key="test-key", wait=delays)
         client.calls.assert_done()
         delays.assert_done()
@@ -179,23 +187,22 @@ class TestBatchCancellation:
     def test_cancellation_timeout_is_reported_but_file_and_key_cleanup_still_run(self) -> None:
         client: Final = CleanupClient(
             calls=ExpectedCalls(
-                iter(
-                    (
-                        f"retrieve None {MANAGED_BATCH_ID}",
-                        f"retrieve None {MANAGED_BATCH_ID}",
-                        "delete None file-1",
-                        "delete key test-key",
-                    )
+                (
+                    f"retrieve None {MANAGED_BATCH_ID}",
+                    f"retrieve None {MANAGED_BATCH_ID}",
+                    "delete None file-1",
+                    "delete key test-key",
                 )
             ),
-            batches=iter((batch("cancelling"), batch("cancelling"))),
-            files=iter((deleted_file(),)),
+            batches=(batch("cancelling"), batch("cancelling")),
+            files=(deleted_file(),),
         )
-        ticks: Final = iter((0.0, BATCH_CANCEL_TIMEOUT_SECONDS))
+        times: Final = (0.0, BATCH_CANCEL_TIMEOUT_SECONDS)
+        ticks: Final[Callable[[], float]] = Mock(side_effect=times)
         manager: Final = ResourceManager(client=client, strict_cleanup=True)
         key: Final = manager.key()
         manager.defer(lambda: cleanup_file(client, "file-1", key=key))
-        manager.defer(lambda: cleanup_batch(client, MANAGED_BATCH_ID, key=key, clock=lambda: next(ticks)))
+        manager.defer(lambda: cleanup_batch(client, MANAGED_BATCH_ID, key=key, clock=ticks))
         with pytest.raises(ExceptionGroup) as caught:
             manager.teardown()
         assert "cancellation did not finish" in str(caught.value.exceptions[0])
@@ -203,17 +210,15 @@ class TestBatchCancellation:
 
     @pytest.mark.parametrize("status", ["completed", "failed", "expired", "cancelled"])
     def test_inactive_batch_needs_no_cancellation(self, status: str) -> None:
-        client: Final = CleanupClient(
-            calls=ExpectedCalls(iter(("retrieve None batch-1",))), batches=iter((batch(status),))
-        )
+        client: Final = CleanupClient(calls=ExpectedCalls(("retrieve None batch-1",)), batches=(batch(status),))
         cleanup_batch(client, "batch-1", key="test-key")
         client.calls.assert_done()
 
     def test_active_batch_is_cancelled_through_its_provider(self) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter(("retrieve azure batch-1", "cancel azure batch-1"))),
-            batches=iter((batch("in_progress"), batch("cancelled"))),
-            cancellations=iter((batch("cancelling"),)),
+            calls=ExpectedCalls(("retrieve azure batch-1", "cancel azure batch-1")),
+            batches=(batch("in_progress"), batch("cancelled")),
+            cancellations=(batch("cancelling"),),
         )
         cleanup_batch(client, "batch-1", key="test-key", provider="azure")
         client.calls.assert_done()
@@ -225,23 +230,21 @@ class TestBatchCancellation:
     ) -> None:
         client: Final = CleanupClient(
             calls=ExpectedCalls(
-                iter(
-                    (
-                        f"retrieve vertex_ai {batch_id}",
-                        f"cancel vertex_ai {batch_id}",
-                        f"retrieve vertex_ai {batch_id}",
-                        f"retrieve vertex_ai {batch_id}",
-                        f"retrieve vertex_ai {batch_id}",
-                        "delete vertex_ai file-1",
-                        "delete key test-key",
-                    )
+                (
+                    f"retrieve vertex_ai {batch_id}",
+                    f"cancel vertex_ai {batch_id}",
+                    f"retrieve vertex_ai {batch_id}",
+                    f"retrieve vertex_ai {batch_id}",
+                    f"retrieve vertex_ai {batch_id}",
+                    "delete vertex_ai file-1",
+                    "delete key test-key",
                 )
             ),
-            batches=iter((batch("validating"), batch(pending_status), batch(pending_status), batch("cancelled"))),
-            cancellations=iter((batch(pending_status),)),
-            files=iter((deleted_file(),)),
+            batches=(batch("validating"), batch(pending_status), batch(pending_status), batch("cancelled")),
+            cancellations=(batch(pending_status),),
+            files=(deleted_file(),),
         )
-        delays: Final = ExpectedCalls(iter((10.0, 10.0)))
+        delays: Final = ExpectedCalls((10.0, 10.0))
         manager: Final = ResourceManager(client=client, strict_cleanup=True)
         key: Final = manager.key()
         manager.defer(lambda: cleanup_file(client, "file-1", key=key, provider="vertex_ai"))
@@ -255,28 +258,22 @@ class TestBatchCancellation:
         self, output_delete_fails: bool
     ) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(
-                iter(("retrieve openai batch-1", "delete openai file-output", "delete openai file-error"))
-            ),
-            batches=iter(
-                (
-                    Success(
-                        status_code=200,
-                        data=BatchObject(
-                            id="batch-1",
-                            status="completed",
-                            input_file_id="file-input",
-                            output_file_id="file-output",
-                            error_file_id="file-error",
-                        ),
+            calls=ExpectedCalls(("retrieve openai batch-1", "delete openai file-output", "delete openai file-error")),
+            batches=(
+                Success(
+                    status_code=200,
+                    data=BatchObject(
+                        id="batch-1",
+                        status="completed",
+                        input_file_id="file-input",
+                        output_file_id="file-output",
+                        error_file_id="file-error",
                     ),
-                )
+                ),
             ),
-            files=iter(
-                (
-                    UnknownApiError(status_code=403, body="forbidden") if output_delete_fails else deleted_file(),
-                    deleted_file(),
-                )
+            files=(
+                UnknownApiError(status_code=403, body="forbidden") if output_delete_fails else deleted_file(),
+                deleted_file(),
             ),
         )
         if output_delete_fails:
@@ -289,9 +286,9 @@ class TestBatchCancellation:
     @pytest.mark.parametrize("status", ["completed", "in_progress"])
     def test_cancellation_conflict_is_accepted_only_when_batch_became_inactive(self, status: str) -> None:
         client: Final = CleanupClient(
-            calls=ExpectedCalls(iter(("retrieve None batch-1", "cancel None batch-1", "retrieve None batch-1"))),
-            batches=iter((batch("in_progress"), batch(status))),
-            cancellations=iter((UnknownApiError(status_code=409, body="conflict"),)),
+            calls=ExpectedCalls(("retrieve None batch-1", "cancel None batch-1", "retrieve None batch-1")),
+            batches=(batch("in_progress"), batch(status)),
+            cancellations=(UnknownApiError(status_code=409, body="conflict"),),
         )
         if status == "completed":
             cleanup_batch(client, "batch-1", key="test-key")

From 43a02e2dbcd485c3cc5dd31d8b11161da650c356 Mon Sep 17 00:00:00 2001
From: ryan-crabbe-berri <ryan@berri.ai>
Date: Mon, 7 Sep 2026 16:53:41 -0700
Subject: [PATCH 049/223] fix(proxy): report the billed token rates in
 /cost/estimate

The rate fields reported base cost-map prices while the cost lines were billed at the token tier, off-peak window and regional multipliers the calculator picks for the request, so a line did not always equal tokens times its reported rate. get_billed_token_rates now resolves the rates once, the token-type breakdown and the endpoint both read from it, and a tiered-model test asserts every line equals its token count times the rate reported next to it

Claude-Session: https://claude.ai/code/session_011Tn3657NkV6ojLqewL64Kb
---
 .../litellm_core_utils/llm_cost_calc/utils.py | 206 ++++++++++++------
 litellm/proxy/_types.py                       |   6 +-
 .../cost_tracking_settings.py                 |  63 ++----
 .../llm_cost_calc/test_llm_cost_calc_utils.py |  49 +++++
 .../test_cost_tracking_settings.py            |  52 ++++-
 ui/litellm-dashboard/src/lib/http/schema.d.ts |  10 +-
 6 files changed, 258 insertions(+), 128 deletions(-)

diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 8d53c8da3e6..2bb15fb4c48 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -1329,16 +1329,118 @@ def _cache_token_counts(usage: Usage) -> tuple[int, int, CacheCreationTokenDetai
     )
 
 
-def _custom_pricing_token_type_breakdown(usage: Usage, custom_cost_per_token: CostPerToken) -> TokenTypeCostBreakdown:
+@dataclass(frozen=True, slots=True)
+class BilledTokenRates:
+    """Per-token rates one request's usage bills at, after token tiers, off-peak windows and the
+    regional multipliers the totals apply, so each cost line equals its token count times its rate."""
+
+    input_cost_per_token: float
+    output_cost_per_token: float
+    cache_read_input_token_cost: float
+    cache_creation_input_token_cost: float
+    cache_creation_input_token_cost_above_1hr: float
+    output_cost_per_reasoning_token: float
+
+    def scaled(self, multiplier: float) -> "BilledTokenRates":
+        if multiplier == 1.0:
+            return self
+        return BilledTokenRates(
+            input_cost_per_token=self.input_cost_per_token * multiplier,
+            output_cost_per_token=self.output_cost_per_token * multiplier,
+            cache_read_input_token_cost=self.cache_read_input_token_cost * multiplier,
+            cache_creation_input_token_cost=self.cache_creation_input_token_cost * multiplier,
+            cache_creation_input_token_cost_above_1hr=self.cache_creation_input_token_cost_above_1hr * multiplier,
+            output_cost_per_reasoning_token=self.output_cost_per_reasoning_token * multiplier,
+        )
+
+
+def _custom_pricing_rates(custom_cost_per_token: CostPerToken) -> BilledTokenRates:
     """Flat custom pricing has no tiers, uplifts or reasoning rate: cache tokens bill at the configured
     cache rates (else the input rate) and reasoning at the output rate, as _cost_per_token_custom_pricing_helper does."""
     input_rate: Final = custom_cost_per_token["input_cost_per_token"]
-    cache_read_tokens, cache_creation_tokens, _ = _cache_token_counts(usage)
-    return TokenTypeCostBreakdown(
-        reasoning_cost=float(_reasoning_token_count(usage)) * custom_cost_per_token["output_cost_per_token"],
-        cache_read_cost=float(cache_read_tokens) * custom_cost_per_token.get("cache_read_input_token_cost", input_rate),
-        cache_creation_cost=float(cache_creation_tokens)
-        * custom_cost_per_token.get("cache_creation_input_token_cost", input_rate),
+    output_rate: Final = custom_cost_per_token["output_cost_per_token"]
+    cache_creation_rate: Final = custom_cost_per_token.get("cache_creation_input_token_cost", input_rate)
+    return BilledTokenRates(
+        input_cost_per_token=input_rate,
+        output_cost_per_token=output_rate,
+        cache_read_input_token_cost=custom_cost_per_token.get("cache_read_input_token_cost", input_rate),
+        cache_creation_input_token_cost=cache_creation_rate,
+        cache_creation_input_token_cost_above_1hr=cache_creation_rate,
+        output_cost_per_reasoning_token=output_rate,
+    )
+
+
+def _cost_map_billed_rates(
+    model_info: ModelInfo,
+    usage: Usage,
+    custom_llm_provider: str | None,
+    service_tier: str | None,
+    data_residency: str | None,
+    vertex_location: str | None,
+    current_time: datetime | None,
+) -> BilledTokenRates:
+    billing_time: Final = current_time if current_time is not None else datetime.now(timezone.utc)
+    (
+        prompt_base_cost,
+        completion_base_cost,
+        cache_creation_cost_rate,
+        cache_creation_cost_above_1hr_rate,
+        cache_read_cost_rate,
+    ) = _get_token_base_cost(
+        model_info=model_info,
+        usage=usage,
+        service_tier=service_tier,
+        current_time=billing_time,
+        threshold_is_inclusive=_uses_inclusive_token_thresholds(custom_llm_provider),
+    )
+    reasoning_rate: Final = _resolve_billed_reasoning_rate(
+        model_info=model_info,
+        usage=usage,
+        service_tier=service_tier,
+        completion_base_cost=completion_base_cost,
+        current_time=billing_time,
+    )
+    multiplier: Final = (
+        _get_regional_uplift_multiplier(model_info, data_residency)
+        * get_vertex_regional_endpoint_uplift(model_info, vertex_location)
+        * get_provider_specific_geo_multiplier(model_info=model_info, usage=usage)
+    )
+    return BilledTokenRates(
+        input_cost_per_token=prompt_base_cost,
+        output_cost_per_token=completion_base_cost,
+        cache_read_input_token_cost=cache_read_cost_rate,
+        cache_creation_input_token_cost=cache_creation_cost_rate,
+        cache_creation_input_token_cost_above_1hr=cache_creation_cost_above_1hr_rate,
+        output_cost_per_reasoning_token=reasoning_rate,
+    ).scaled(multiplier)
+
+
+def get_billed_token_rates(
+    model: str,
+    custom_llm_provider: str | None,
+    usage: Usage,
+    service_tier: str | None = None,
+    data_residency: str | None = None,
+    vertex_location: str | None = None,
+    current_time: datetime | None = None,
+    custom_cost_per_token: CostPerToken | None = None,
+) -> BilledTokenRates | None:
+    """Rates the cost calculator bills ``usage`` at, resolved exactly as the totals and the token-type
+    breakdown resolve them. None when the model's pricing cannot be resolved."""
+    if custom_cost_per_token is not None:
+        return _custom_pricing_rates(custom_cost_per_token)
+    try:
+        model_info: Final = get_model_info(model=model, custom_llm_provider=custom_llm_provider)
+    except Exception:
+        return None
+    return _cost_map_billed_rates(
+        model_info=model_info,
+        usage=usage,
+        custom_llm_provider=custom_llm_provider,
+        service_tier=service_tier,
+        data_residency=data_residency,
+        vertex_location=vertex_location,
+        current_time=current_time,
     )
 
 
@@ -1360,77 +1462,39 @@ def get_token_type_cost_breakdown(
     cost calculators bypass ``generic_cost_per_token``, because cache tokens always
     land on ``prompt_tokens_details`` (via the Usage constructor and provider
     transformations) and reasoning tokens on ``completion_tokens_details``. It reuses
-    the same rate-resolution primitives as the total-cost path so the breakdown can
-    never drift from the totals. A deployment billed by ``custom_cost_per_token`` is
-    priced from those flat rates instead of the cost map, for the same reason.
+    the same rate resolution as the total-cost path (``get_billed_token_rates``) so the
+    breakdown can never drift from the totals. A deployment billed by
+    ``custom_cost_per_token`` is priced from those flat rates instead of the cost map and,
+    like its totals, bills cache writes flat rather than by their 5m/1h split.
     Returns zeros (never raises) when the model or its pricing cannot be resolved.
     """
-    if custom_cost_per_token is not None:
-        return _custom_pricing_token_type_breakdown(usage=usage, custom_cost_per_token=custom_cost_per_token)
-
-    try:
-        model_info: Final = get_model_info(model=model, custom_llm_provider=custom_llm_provider)
-    except Exception:
+    rates: Final = get_billed_token_rates(
+        model=model,
+        custom_llm_provider=custom_llm_provider,
+        usage=usage,
+        service_tier=service_tier,
+        data_residency=data_residency,
+        vertex_location=vertex_location,
+        current_time=current_time,
+        custom_cost_per_token=custom_cost_per_token,
+    )
+    if rates is None:
         return TokenTypeCostBreakdown(0.0, 0.0, 0.0)
 
-    billing_time: Final = current_time if current_time is not None else datetime.now(timezone.utc)
-    (
-        _prompt_base_cost,
-        completion_base_cost,
-        cache_creation_cost_rate,
-        cache_creation_cost_above_1hr_rate,
-        cache_read_cost_rate,
-    ) = _get_token_base_cost(
-        model_info=model_info,
-        usage=usage,
-        service_tier=service_tier,
-        current_time=billing_time,
-        threshold_is_inclusive=_uses_inclusive_token_thresholds(custom_llm_provider),
-    )
-
-    reasoning_rate: Final = _resolve_billed_reasoning_rate(
-        model_info=model_info,
-        usage=usage,
-        service_tier=service_tier,
-        completion_base_cost=completion_base_cost,
-        current_time=billing_time,
-    )
-    reasoning_cost = float(_reasoning_token_count(usage)) * reasoning_rate
-
     cache_read_tokens, cache_creation_tokens, cache_creation_token_details = _cache_token_counts(usage)
-    cache_read_cost = float(cache_read_tokens) * cache_read_cost_rate
-    cache_creation_cost = calculate_cache_writing_cost(
-        cache_creation_tokens=cache_creation_tokens,
-        cache_creation_token_details=cache_creation_token_details,
-        cache_creation_cost_above_1hr=cache_creation_cost_above_1hr_rate,
-        cache_creation_cost=cache_creation_cost_rate,
+    cache_creation_cost: Final = (
+        float(cache_creation_tokens) * rates.cache_creation_input_token_cost
+        if custom_cost_per_token is not None
+        else calculate_cache_writing_cost(
+            cache_creation_tokens=cache_creation_tokens,
+            cache_creation_token_details=cache_creation_token_details,
+            cache_creation_cost_above_1hr=rates.cache_creation_input_token_cost_above_1hr,
+            cache_creation_cost=rates.cache_creation_input_token_cost,
+        )
     )
-
-    # Apply the same flat regional-processing uplift the totals get, so per-type
-    # costs stay reconciled with input_cost/output_cost for regionalized OpenAI hosts.
-    uplift: Final = _get_regional_uplift_multiplier(model_info, data_residency)
-    if uplift != 1.0:
-        reasoning_cost *= uplift
-        cache_read_cost *= uplift
-        cache_creation_cost *= uplift
-
-    vertex_uplift: Final = get_vertex_regional_endpoint_uplift(model_info, vertex_location)
-    if vertex_uplift != 1.0:
-        reasoning_cost *= vertex_uplift
-        cache_read_cost *= vertex_uplift
-        cache_creation_cost *= vertex_uplift
-
-    # Mirror the provider-specific geo uplift (e.g. Anthropic us: 1.1) the totals
-    # apply, so cache and reasoning line items stay reconciled with them.
-    geo_multiplier: Final = get_provider_specific_geo_multiplier(model_info=model_info, usage=usage)
-    if geo_multiplier != 1.0:
-        reasoning_cost *= geo_multiplier
-        cache_read_cost *= geo_multiplier
-        cache_creation_cost *= geo_multiplier
-
     return TokenTypeCostBreakdown(
-        reasoning_cost=reasoning_cost,
-        cache_read_cost=cache_read_cost,
+        reasoning_cost=float(_reasoning_token_count(usage)) * rates.output_cost_per_reasoning_token,
+        cache_read_cost=float(cache_read_tokens) * rates.cache_read_input_token_cost,
         cache_creation_cost=cache_creation_cost,
     )
 
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 65b7d409d7c..3c1cd9bfc69 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -5197,9 +5197,9 @@ class CostEstimateResponse(LiteLLMPydanticObjectBase):
         default=None, description="Cache-write share of monthly_input_cost"
     )
     monthly_reasoning_cost: float | None = Field(default=None, description="Reasoning share of monthly_output_cost")
-    # Pricing info
-    input_cost_per_token: float | None = None
-    output_cost_per_token: float | None = None
+    # Pricing info: the rates this request's usage bills at, after token tiers and regional multipliers
+    input_cost_per_token: float | None = Field(default=None, description="Rate billed per input token")
+    output_cost_per_token: float | None = Field(default=None, description="Rate billed per output token")
     cache_read_input_token_cost: float | None = Field(default=None, description="Rate billed per cache-read token")
     cache_creation_input_token_cost: float | None = Field(default=None, description="Rate billed per cache-write token")
     output_cost_per_reasoning_token: float | None = Field(default=None, description="Rate billed per reasoning token")
diff --git a/litellm/proxy/management_endpoints/cost_tracking_settings.py b/litellm/proxy/management_endpoints/cost_tracking_settings.py
index 51f31a757cd..17d82fd17e3 100644
--- a/litellm/proxy/management_endpoints/cost_tracking_settings.py
+++ b/litellm/proxy/management_endpoints/cost_tracking_settings.py
@@ -20,6 +20,7 @@ from pydantic import BaseModel
 import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.cost_calculator import completion_cost
+from litellm.litellm_core_utils.llm_cost_calc.utils import get_billed_token_rates
 from litellm.proxy._types import (
     CommonProxyErrors,
     CostEstimateRequest,
@@ -170,44 +171,6 @@ def _cost_lines(cost_per_request: float, cost_breakdown: CostBreakdown | None) -
     )
 
 
-@dataclass(frozen=True, slots=True)
-class EffectiveTokenRates:
-    input_cost_per_token: float | None
-    output_cost_per_token: float | None
-    cache_read_input_token_cost: float | None
-    cache_creation_input_token_cost: float | None
-    output_cost_per_reasoning_token: float | None
-
-
-def _custom_token_rates(custom_cost_per_token: CostPerToken) -> EffectiveTokenRates:
-    input_rate: Final = custom_cost_per_token["input_cost_per_token"]
-    output_rate: Final = custom_cost_per_token["output_cost_per_token"]
-    return EffectiveTokenRates(
-        input_cost_per_token=input_rate,
-        output_cost_per_token=output_rate,
-        cache_read_input_token_cost=custom_cost_per_token.get("cache_read_input_token_cost", input_rate),
-        cache_creation_input_token_cost=custom_cost_per_token.get("cache_creation_input_token_cost", input_rate),
-        output_cost_per_reasoning_token=output_rate,
-    )
-
-
-def _cost_map_token_rates(model_info: ModelInfo | None) -> EffectiveTokenRates:
-    """Base rates the cost calculator bills flat usage at: a cost-map model without a cache price
-    bills cache tokens at zero, and one without a reasoning price bills reasoning at the output rate."""
-    if model_info is None:
-        return EffectiveTokenRates(None, None, None, None, None)
-    sources: Final = (model_info,)
-    output_rate: Final = _configured_price("output_cost_per_token", sources)
-    reasoning_rate: Final = _configured_price("output_cost_per_reasoning_token", sources)
-    return EffectiveTokenRates(
-        input_cost_per_token=_configured_price("input_cost_per_token", sources),
-        output_cost_per_token=output_rate,
-        cache_read_input_token_cost=_configured_price("cache_read_input_token_cost", sources) or 0.0,
-        cache_creation_input_token_cost=_configured_price("cache_creation_input_token_cost", sources) or 0.0,
-        output_cost_per_reasoning_token=output_rate if reasoning_rate is None else reasoning_rate,
-    )
-
-
 def _usage_for_estimate(request: CostEstimateRequest) -> Usage:
     cache_tokens: Final = request.cache_read_input_tokens + request.cache_creation_input_tokens
     return Usage(
@@ -654,7 +617,8 @@ async def estimate_cost(
 
     verbose_proxy_logger.debug("Cost estimate: request.model='%s' resolved to '%s'", request.model, resolved_model)
 
-    mock_response: Final = ModelResponse(model=resolved_model, usage=_usage_for_estimate(request))
+    usage: Final = _usage_for_estimate(request)
+    mock_response: Final = ModelResponse(model=resolved_model, usage=usage)
 
     # Create a logging object to capture cost breakdown
     litellm_logging_obj: Final = LiteLLMLoggingObj(
@@ -688,12 +652,13 @@ async def estimate_cost(
     daily: Final = per_request.times(request.num_requests_per_day)
     monthly: Final = per_request.times(request.num_requests_per_month)
 
-    model_info: Final = _lookup_model_info(resolved_model)
-    rates: Final = (
-        _custom_token_rates(resolved.custom_cost_per_token)
-        if resolved.custom_cost_per_token is not None
-        else _cost_map_token_rates(model_info)
+    rates: Final = get_billed_token_rates(
+        model=resolved_model,
+        custom_llm_provider=resolved_provider,
+        usage=usage,
+        custom_cost_per_token=resolved.custom_cost_per_token,
     )
+    model_info: Final = _lookup_model_info(resolved_model)
     mapped_provider: Final = model_info.get("litellm_provider") if model_info is not None else None
     custom_llm_provider: Final = mapped_provider if mapped_provider is not None else resolved_provider
 
@@ -727,10 +692,10 @@ async def estimate_cost(
         monthly_cache_read_cost=monthly.cache_read_cost if monthly is not None else None,
         monthly_cache_creation_cost=monthly.cache_creation_cost if monthly is not None else None,
         monthly_reasoning_cost=monthly.reasoning_cost if monthly is not None else None,
-        input_cost_per_token=rates.input_cost_per_token,
-        output_cost_per_token=rates.output_cost_per_token,
-        cache_read_input_token_cost=rates.cache_read_input_token_cost,
-        cache_creation_input_token_cost=rates.cache_creation_input_token_cost,
-        output_cost_per_reasoning_token=rates.output_cost_per_reasoning_token,
+        input_cost_per_token=rates.input_cost_per_token if rates is not None else None,
+        output_cost_per_token=rates.output_cost_per_token if rates is not None else None,
+        cache_read_input_token_cost=rates.cache_read_input_token_cost if rates is not None else None,
+        cache_creation_input_token_cost=rates.cache_creation_input_token_cost if rates is not None else None,
+        output_cost_per_reasoning_token=rates.output_cost_per_reasoning_token if rates is not None else None,
         provider=custom_llm_provider,
     )
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
index 7065003839b..4de3c059e63 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
@@ -27,6 +27,7 @@ from litellm.types.utils import (
 )
 
 from litellm.litellm_core_utils.llm_cost_calc.utils import (
+    BilledTokenRates,
     CostCalculatorUtils,
     PromptTokensDetailsResult,
     TokenRates,
@@ -38,6 +39,7 @@ from litellm.litellm_core_utils.llm_cost_calc.utils import (
     apply_off_peak_pricing,
     calculate_cache_writing_cost,
     generic_cost_per_token,
+    get_billed_token_rates,
     get_token_type_cost_breakdown,
 )
 from litellm.types.utils import CacheCreationTokenDetails, Usage
@@ -3938,6 +3940,53 @@ def test_token_type_cost_breakdown_reconciles_with_custom_pricing_totals():
     assert 300 * 2e-6 + breakdown.reasoning_cost == pytest.approx(completion_cost)
 
 
+def test_billed_token_rates_follow_the_token_tier_the_breakdown_bills_at(monkeypatch):
+    monkeypatch.setitem(
+        litellm.model_cost,
+        "tiered-cache-model",
+        {
+            "input_cost_per_token": 3e-6,
+            "output_cost_per_token": 15e-6,
+            "cache_read_input_token_cost": 3e-7,
+            "cache_creation_input_token_cost": 3.75e-6,
+            "input_cost_per_token_above_200k_tokens": 6e-6,
+            "output_cost_per_token_above_200k_tokens": 3e-5,
+            "cache_read_input_token_cost_above_200k_tokens": 6e-7,
+            "cache_creation_input_token_cost_above_200k_tokens": 7.5e-6,
+            "litellm_provider": "openai",
+            "mode": "chat",
+        },
+    )
+    usage = Usage(
+        prompt_tokens=250_000,
+        completion_tokens=1_000,
+        total_tokens=251_000,
+        prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=200_000, cache_creation_tokens=10_000),
+        completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=200),
+    )
+
+    rates = get_billed_token_rates(model="tiered-cache-model", custom_llm_provider="openai", usage=usage)
+    breakdown = get_token_type_cost_breakdown(model="tiered-cache-model", custom_llm_provider="openai", usage=usage)
+
+    assert rates == BilledTokenRates(
+        input_cost_per_token=6e-6,
+        output_cost_per_token=3e-5,
+        cache_read_input_token_cost=6e-7,
+        cache_creation_input_token_cost=7.5e-6,
+        cache_creation_input_token_cost_above_1hr=0.0,
+        output_cost_per_reasoning_token=3e-5,
+    )
+    assert breakdown.cache_read_cost == pytest.approx(200_000 * rates.cache_read_input_token_cost)
+    assert breakdown.cache_creation_cost == pytest.approx(10_000 * rates.cache_creation_input_token_cost)
+    assert breakdown.reasoning_cost == pytest.approx(200 * rates.output_cost_per_reasoning_token)
+
+
+def test_billed_token_rates_are_none_for_an_unpriced_model():
+    usage = Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15)
+
+    assert get_billed_token_rates(model="no-such-model-anywhere", custom_llm_provider="openai", usage=usage) is None
+
+
 def test_token_type_cost_breakdown_zero_without_special_tokens(_local_model_cost_map):
 
     usage = Usage(prompt_tokens=100, completion_tokens=50, total_tokens=150)
diff --git a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
index 6d3ef2ffea9..9847c4092df 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
@@ -813,9 +813,7 @@ async def _estimate(mock_router: MagicMock | None, model: str = AN_ALIAS, **over
 
     request = CostEstimateRequest(
         model=model,
-        input_tokens=INPUT_TOKENS,
-        output_tokens=OUTPUT_TOKENS,
-        **overrides,
+        **{"input_tokens": INPUT_TOKENS, "output_tokens": OUTPUT_TOKENS, **overrides},
     )
     with patch(  # test-quality-ok: proxy_server module global is the endpoint's only injection point
         "litellm.proxy.proxy_server.llm_router", mock_router
@@ -1062,6 +1060,54 @@ class TestEstimateCostCacheAndReasoningTokens:
         assert response.cache_read_input_token_cost == pytest.approx(5e-7)
         assert response.cache_creation_input_token_cost == pytest.approx(6.25e-6)
 
+    @pytest.mark.asyncio
+    async def test_a_tiered_model_reports_the_rates_its_lines_were_billed_at(self, monkeypatch):
+        """Above a token tier the calculator bills every line at the tier's rate, so the reported
+        rates must be the tier's too: each line equals its token count times the rate next to it."""
+        monkeypatch.setitem(
+            litellm.model_cost,
+            A_MAPPED_MODEL,
+            {
+                "input_cost_per_token": 3e-6,
+                "output_cost_per_token": 15e-6,
+                "cache_read_input_token_cost": 3e-7,
+                "cache_creation_input_token_cost": 3.75e-6,
+                "input_cost_per_token_above_200k_tokens": 6e-6,
+                "output_cost_per_token_above_200k_tokens": 3e-5,
+                "cache_read_input_token_cost_above_200k_tokens": 6e-7,
+                "cache_creation_input_token_cost_above_200k_tokens": 7.5e-6,
+                "litellm_provider": "openai",
+                "mode": "chat",
+            },
+        )
+
+        response = await _estimate(
+            None,
+            model=A_MAPPED_MODEL,
+            input_tokens=250_000,
+            cache_read_input_tokens=200_000,
+            cache_creation_input_tokens=10_000,
+            output_tokens=1_000,
+            reasoning_tokens=200,
+        )
+
+        assert response.input_cost_per_token == pytest.approx(6e-6)
+        assert response.output_cost_per_token == pytest.approx(3e-5)
+        assert response.cache_read_input_token_cost == pytest.approx(6e-7)
+        assert response.cache_creation_input_token_cost == pytest.approx(7.5e-6)
+        assert response.output_cost_per_reasoning_token == pytest.approx(3e-5)
+        assert response.cache_read_cost_per_request == pytest.approx(200_000 * response.cache_read_input_token_cost)
+        assert response.cache_creation_cost_per_request == pytest.approx(
+            10_000 * response.cache_creation_input_token_cost
+        )
+        assert response.reasoning_cost_per_request == pytest.approx(200 * response.output_cost_per_reasoning_token)
+        assert response.input_cost_per_request == pytest.approx(
+            40_000 * response.input_cost_per_token
+            + response.cache_read_cost_per_request
+            + response.cache_creation_cost_per_request
+        )
+        assert response.output_cost_per_request == pytest.approx(1_000 * response.output_cost_per_token)
+
 
 class TestCostEstimateRequestTokenSubsets:
     def test_cache_tokens_beyond_the_input_tokens_are_rejected(self):
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 6a9c86cc1b5..46cb5ad892a 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -26523,7 +26523,10 @@ export interface components {
              * @description Input token cost per request (before margin)
              */
             input_cost_per_request: number;
-            /** Input Cost Per Token */
+            /**
+             * Input Cost Per Token
+             * @description Rate billed per input token
+             */
             input_cost_per_token?: number | null;
             /** Input Tokens */
             input_tokens: number;
@@ -26584,7 +26587,10 @@ export interface components {
              * @description Output token cost per request (before margin)
              */
             output_cost_per_request: number;
-            /** Output Cost Per Token */
+            /**
+             * Output Cost Per Token
+             * @description Rate billed per output token
+             */
             output_cost_per_token?: number | null;
             /** Output Tokens */
             output_tokens: number;

From 0710231acc349f1cb8229fb5d691678dc2402e80 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 16:57:09 -0700
Subject: [PATCH 050/223] feat(cost_map): stamp and surface generated_at and
 source revision provenance

The cost map JSON now carries a top-level `_metadata` block with `generated_at` and `source_revision`, written by the two bot writers only when model data changed. The loader pops it before the map becomes `litellm.model_cost`, records it next to the fetch ETag, and `/reload/model_cost_map`, `/model/cost_map/source`, and the reload schedule status return it. The Price Data Reload card shows the stamp, the ETag, and when the pod loaded the map. The schema and the cost map guard treat `_metadata` as a non-model root key
---
 ...to_update_price_and_context_window_file.py |  27 +++-
 ci_cd/cost_map_guard.py                       |   7 +-
 ci_cd/generate_model_prices_schema.py         |  19 ++-
 .../litellm_core_utils/get_model_cost_map.py  |  82 ++++++++++-
 ...odel_prices_and_context_window_backup.json |   4 +
 litellm/proxy/proxy_server.py                 |  15 +-
 model_prices_and_context_window.json          |   4 +
 model_prices_and_context_window.schema.json   |  20 ++-
 scripts/sync_together_ai_models.py            |  23 +++-
 .../test_get_model_cost_map.py                | 129 +++++++++++++++++-
 .../test_routes_model_cost_map.py             |  83 ++++++++++-
 ...to_update_price_and_context_window_file.py |  54 ++++++++
 tests/test_litellm/test_cost_map_guard.py     |  20 +++
 .../test_litellm/test_model_prices_schema.py  |  19 +++
 .../test_sync_together_ai_models.py           |  53 +++++++
 .../src/components/price_data_reload.test.tsx |  34 +++++
 .../src/components/price_data_reload.tsx      |  68 +++++++--
 ui/litellm-dashboard/src/lib/http/schema.d.ts |   3 +
 18 files changed, 636 insertions(+), 28 deletions(-)
 create mode 100644 tests/test_litellm/test_auto_update_price_and_context_window_file.py

diff --git a/.github/scripts/auto_update_price_and_context_window_file.py b/.github/scripts/auto_update_price_and_context_window_file.py
index 461d8d347d9..a7a3194f262 100644
--- a/.github/scripts/auto_update_price_and_context_window_file.py
+++ b/.github/scripts/auto_update_price_and_context_window_file.py
@@ -1,6 +1,9 @@
 import asyncio
 import aiohttp
 import json
+import os
+import subprocess
+from datetime import datetime, timezone
 
 # Asynchronously fetch data from a given URL
 async def fetch_data(url):
@@ -31,13 +34,28 @@ def sync_local_data_with_remote(local_data, remote_data):
     for key in (set(remote_data) - set(local_data)):
         local_data[key] = remote_data[key]
 
+def utc_now_iso():
+    return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+
+
+def source_revision():
+    from_env = os.environ.get("GITHUB_SHA")
+    if from_env:
+        return from_env
+    return subprocess.run(["git", "rev-parse", "HEAD"], check=True, capture_output=True, text=True).stdout.strip()
+
+
+def stamp_metadata(data, generated_at, revision):
+    return {**data, "_metadata": {"generated_at": generated_at, "source_revision": revision}}
+
+
 # Write data to the json file
 def write_to_file(file_path, data):
     try:
         # Open the file in write mode
         with open(file_path, "w") as file:
             # Dump the data as JSON into the file
-            json.dump(data, file, indent=4)
+            file.write(json.dumps(data, indent=4) + "\n")
         print("Values updated successfully.")
     except Exception as e:
         # Print an error message if writing to file fails
@@ -149,8 +167,13 @@ def main():
 
     # If both local and openrouter data are available, synchronize and save
     if local_data and all_remote_data:
+        before = json.dumps(local_data, sort_keys=True)
         sync_local_data_with_remote(local_data, all_remote_data)
-        write_to_file(local_file_path, local_data)
+        changed = json.dumps(local_data, sort_keys=True) != before
+        write_to_file(
+            local_file_path,
+            stamp_metadata(local_data, utc_now_iso(), source_revision()) if changed else local_data,
+        )
     else:
         print("Failed to fetch model data from either local file or URL.")
 
diff --git a/ci_cd/cost_map_guard.py b/ci_cd/cost_map_guard.py
index 50aa40ba220..351c06c74eb 100644
--- a/ci_cd/cost_map_guard.py
+++ b/ci_cd/cost_map_guard.py
@@ -2,7 +2,8 @@
 
 Every pull request gets the file checks: the three cost map files parse, the backup copy matches the root file,
 and the JSON schema is in sync and validates the map. Pull requests from the cost map sync bot (branches named
-litellm_cost_map_sync_*) additionally may only touch those three files and may only add or update models.
+litellm_cost_map_sync_*) additionally may only touch those three files and may only add or update models, plus
+restamp the _metadata provenance block.
 """
 
 from __future__ import annotations
@@ -15,7 +16,7 @@ from collections.abc import Sequence
 from dataclasses import dataclass
 from typing import Final
 
-from generate_model_prices_schema import SPECIAL_ROOT_KEYS, build_schema, render, validation_errors
+from generate_model_prices_schema import BOT_LOCKED_ROOT_KEYS, build_schema, render, validation_errors
 
 COST_MAP_PATH: Final = "model_prices_and_context_window.json"
 BACKUP_PATH: Final = "litellm/model_prices_and_context_window_backup.json"
@@ -102,7 +103,7 @@ def _bot_failures(base: Snapshot, head_map: CostMap, changed_files: Sequence[str
         *(f"bot PRs may not remove fields: {ref}" for ref in removed_fields),
         *(
             f"bot PRs may not change {key}"
-            for key in sorted(SPECIAL_ROOT_KEYS)
+            for key in sorted(BOT_LOCKED_ROOT_KEYS)
             if base_map.get(key) != head_map.get(key)
         ),
     )
diff --git a/ci_cd/generate_model_prices_schema.py b/ci_cd/generate_model_prices_schema.py
index ab29b70bdd4..557afa50128 100644
--- a/ci_cd/generate_model_prices_schema.py
+++ b/ci_cd/generate_model_prices_schema.py
@@ -11,7 +11,9 @@ REPO_ROOT = Path(__file__).parent.parent
 PRICES_PATH = REPO_ROOT / "model_prices_and_context_window.json"
 SCHEMA_PATH = REPO_ROOT / "model_prices_and_context_window.schema.json"
 
-SPECIAL_ROOT_KEYS = frozenset({"sample_spec", "fallback_generalizations"})
+METADATA_KEY = "_metadata"
+SPECIAL_ROOT_KEYS = frozenset({"sample_spec", "fallback_generalizations", METADATA_KEY})
+BOT_LOCKED_ROOT_KEYS = SPECIAL_ROOT_KEYS - {METADATA_KEY}
 
 JsonSchema = dict
 
@@ -271,13 +273,26 @@ def build_schema(prices: dict) -> JsonSchema:
         "description": (
             "Schema for LiteLLM's model price and context window registry "
             "(https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json). "
-            "Every top-level key except 'sample_spec' and 'fallback_generalizations' is a model id, "
+            "Every top-level key except '_metadata', 'sample_spec', and 'fallback_generalizations' is a model id, "
             "optionally prefixed with its provider (e.g. 'azure/gpt-5.4'), mapping to a model entry. "
             "All costs are USD per unit. New optional fields are added regularly, so consumers should "
             "ignore unknown fields rather than reject them."
         ),
         "type": "object",
         "properties": {
+            METADATA_KEY: {
+                "type": "object",
+                "description": (
+                    "Provenance of this file: when an automated sync last regenerated it and the commit it "
+                    "ran against. Human edits leave it untouched; not a model entry."
+                ),
+                "properties": {
+                    "generated_at": {"type": "string", "format": "date-time"},
+                    "source_revision": STRING,
+                },
+                "required": ["generated_at", "source_revision"],
+                "additionalProperties": False,
+            },
             "sample_spec": {
                 "type": "object",
                 "description": (
diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index ba8738c8de0..a538e7cb330 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -20,6 +20,8 @@ from importlib.resources import files
 from typing import Final, Protocol
 
 import httpx
+from pydantic import BaseModel, ConfigDict, ValidationError
+from typing_extensions import ReadOnly, TypedDict
 
 from litellm import verbose_logger
 from litellm.constants import (
@@ -31,10 +33,11 @@ from litellm.litellm_core_utils.fallback_generalizations import (
 )
 
 FALLBACK_GENERALIZATIONS_KEY: Final = "fallback_generalizations"
+METADATA_KEY: Final = "_metadata"
 
 # Reserved top-level keys that are not model entries. They must be excluded
 # from the model-count integrity check so a real upstream shrink can't be masked.
-RESERVED_TOP_LEVEL_KEYS: Final = frozenset({"sample_spec", FALLBACK_GENERALIZATIONS_KEY})
+RESERVED_TOP_LEVEL_KEYS: Final = frozenset({"sample_spec", FALLBACK_GENERALIZATIONS_KEY, METADATA_KEY})
 
 
 def _count_model_entries(model_cost: dict) -> int:
@@ -166,6 +169,7 @@ MODEL_COST_MAP_FETCH_MAX_WAIT_SECONDS: Final = 30.0
 @dataclass(frozen=True, slots=True)
 class ModelCostMapReloaded:
     model_cost_map: dict  # mutable-ok: adopted as litellm.model_cost, whose consumer contract is a plain mutable dict
+    etag: str | None = None
 
 
 @dataclass(frozen=True, slots=True)
@@ -254,7 +258,7 @@ def _classify_fetch_response(response: httpx.Response, url: str) -> _FetchAttemp
         return ModelCostMapReloadUnavailable(reason=f"invalid JSON from {url}: {e}")
     if not isinstance(parsed, dict):
         return ModelCostMapReloadUnavailable(reason=f"expected a JSON object from {url}, got {type(parsed).__name__}")
-    return ModelCostMapReloaded(model_cost_map=parsed)
+    return ModelCostMapReloaded(model_cost_map=parsed, etag=response.headers.get("etag"))
 
 
 def _next_retry_wait(
@@ -328,10 +332,12 @@ async def refetch_model_cost_map(
     map they already have.
     """
     if os.getenv("LITELLM_LOCAL_MODEL_COST_MAP", "").lower() == "true":
+        _cost_map_source_info.loaded_at = datetime.now(timezone.utc)
         _cost_map_source_info.source = "local"
         _cost_map_source_info.url = None
         _cost_map_source_info.is_env_forced = True
         _cost_map_source_info.fallback_reason = None
+        _cost_map_source_info.etag = None
         return ModelCostMapReloaded(
             model_cost_map=_finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map())
         )
@@ -355,11 +361,13 @@ async def refetch_model_cost_map(
         backup_model_count=GetModelCostMap._get_backup_model_count(),
     ):
         return ModelCostMapReloadUnavailable(reason=f"model cost map from {url} failed integrity validation")
+    _cost_map_source_info.loaded_at = datetime.now(timezone.utc)
     _cost_map_source_info.source = "remote"
     _cost_map_source_info.url = url
     _cost_map_source_info.is_env_forced = False
     _cost_map_source_info.fallback_reason = None
-    return ModelCostMapReloaded(model_cost_map=_finalize_model_cost_map(result.model_cost_map))
+    _cost_map_source_info.etag = result.etag
+    return ModelCostMapReloaded(model_cost_map=_finalize_model_cost_map(result.model_cost_map), etag=result.etag)
 
 
 class ModelCostMapSourceInfo:
@@ -370,13 +378,60 @@ class ModelCostMapSourceInfo:
     is_env_forced: bool = False
     fallback_reason: str | None = None
     loaded_at: "datetime | None" = None
+    generated_at: str | None = None
+    source_revision: str | None = None
+    etag: str | None = None
 
 
 # Module-level singleton tracking the source of the current cost map
 _cost_map_source_info: Final = ModelCostMapSourceInfo()
 
 
-def get_model_cost_map_source_info() -> dict:
+class CostMapMetadata(BaseModel):
+    model_config = ConfigDict(frozen=True, extra="ignore")
+
+    generated_at: str | None = None
+    source_revision: str | None = None
+
+
+_EMPTY_METADATA: Final = CostMapMetadata()
+
+
+def _parse_metadata(raw: object) -> CostMapMetadata:
+    if raw is None:
+        return _EMPTY_METADATA
+    try:
+        return CostMapMetadata.model_validate(raw)
+    except ValidationError as error:
+        verbose_logger.warning("LiteLLM: ignoring a malformed %s block in the model cost map: %s", METADATA_KEY, error)
+        return _EMPTY_METADATA
+
+
+class CostMapProvenance(TypedDict):
+    generated_at: ReadOnly[str | None]
+    source_revision: ReadOnly[str | None]
+    etag: ReadOnly[str | None]
+
+
+class CostMapSourceInfo(CostMapProvenance):
+    source: ReadOnly[str]
+    url: ReadOnly[str | None]
+    is_env_forced: ReadOnly[bool]
+    fallback_reason: ReadOnly[str | None]
+    loaded_at: ReadOnly[str | None]
+
+
+def get_model_cost_map_provenance() -> CostMapProvenance:
+    """Which revision of the cost map this process serves: the ``_metadata`` stamp the file
+    carries plus the ETag the remote fetch returned (None for the bundled backup)"""
+    return {
+        "generated_at": _cost_map_source_info.generated_at,
+        "source_revision": _cost_map_source_info.source_revision,
+        "etag": _cost_map_source_info.etag,
+    }
+
+
+def get_model_cost_map_source_info() -> CostMapSourceInfo:
     """
     Return metadata about where the current model cost map was loaded from.
 
@@ -385,12 +440,20 @@ def get_model_cost_map_source_info() -> dict:
     - url: the remote URL attempted (or None for local-only)
     - is_env_forced: True if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage
     - fallback_reason: human-readable reason if remote failed and local was used
+    - loaded_at: ISO 8601 time this process last loaded the map
+    - generated_at, source_revision: the ``_metadata`` stamp inside the loaded file
+    - etag: the ETag of the remote fetch (None for the bundled backup)
     """
+    loaded_at: Final = _cost_map_source_info.loaded_at
     return {
         "source": _cost_map_source_info.source,
         "url": _cost_map_source_info.url,
         "is_env_forced": _cost_map_source_info.is_env_forced,
         "fallback_reason": _cost_map_source_info.fallback_reason,
+        "loaded_at": loaded_at.isoformat() if loaded_at is not None else None,
+        "generated_at": _cost_map_source_info.generated_at,
+        "source_revision": _cost_map_source_info.source_revision,
+        "etag": _cost_map_source_info.etag,
     }
 
 
@@ -455,14 +518,18 @@ def _expand_model_aliases(model_cost: dict) -> dict:
 
 
 def _finalize_model_cost_map(model_cost: dict) -> dict:
-    """Extract fallback generalizations out of the raw map, then expand aliases.
+    """Extract fallback generalizations and the provenance stamp out of the raw map, then expand aliases.
 
     The ``fallback_generalizations`` block is installed into the generalizations
-    module and removed from the map so it is never treated as a model entry.
+    module and the ``_metadata`` block into the source info; both are removed from
+    the map so neither is ever treated as a model entry.
     """
     raw: Final = model_cost.pop(FALLBACK_GENERALIZATIONS_KEY, None)
     rules: Final = raw.get("rules") if isinstance(raw, dict) else None
     set_fallback_generalizations(rules)
+    metadata: Final = _parse_metadata(model_cost.pop(METADATA_KEY, None))
+    _cost_map_source_info.generated_at = metadata.generated_at
+    _cost_map_source_info.source_revision = metadata.source_revision
     return _expand_model_aliases(model_cost)
 
 
@@ -494,10 +561,12 @@ def get_model_cost_map(
         _cost_map_source_info.url = None
         _cost_map_source_info.is_env_forced = True
         _cost_map_source_info.fallback_reason = None
+        _cost_map_source_info.etag = None
         return _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map())
 
     _cost_map_source_info.url = url
     _cost_map_source_info.is_env_forced = False
+    _cost_map_source_info.etag = None
 
     result: Final = _fetch_remote_model_cost_map_with_retry_sync(
         url=url,
@@ -533,4 +602,5 @@ def get_model_cost_map(
 
     _cost_map_source_info.source = "remote"
     _cost_map_source_info.fallback_reason = None
+    _cost_map_source_info.etag = result.etag
     return _finalize_model_cost_map(content)
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index b1ffc1583e4..5edb3c0e9d8 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -1,4 +1,8 @@
 {
+    "_metadata": {
+        "generated_at": "2026-09-07T23:38:47Z",
+        "source_revision": "cd681a573fd9f5b6f15a1355f46178e4e9d374d2"
+    },
     "sample_spec": {
         "code_interpreter_cost_per_session": 0.0,
         "computer_use_input_cost_per_1k_tokens": 0.0,
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 0915b8dd1b9..4741e4cd9d3 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -17749,6 +17749,7 @@ async def reload_model_cost_map(
         # Immediately reload the model cost map in the current pod
         from litellm.litellm_core_utils.get_model_cost_map import (
             ModelCostMapReloadUnavailable,
+            get_model_cost_map_provenance,
             refetch_model_cost_map,
         )
 
@@ -17762,6 +17763,7 @@ async def reload_model_cost_map(
         models_count = _swap_in_model_cost_map(reload_result.model_cost_map)
         current_time = utc_now()
         proxy_config.model_cost_map_loaded_at = current_time
+        provenance: Final = get_model_cost_map_provenance()
 
         # Publish a new revision so every other pod reloads on its next poll; this pod has
         # already served it, so adopt it here rather than reloading again a tick later
@@ -17776,6 +17778,7 @@ async def reload_model_cost_map(
             "status": "success",
             "models_count": models_count,
             "timestamp": current_time.isoformat(),
+            **provenance,
         }
     except HTTPException:
         raise
@@ -17896,12 +17899,17 @@ async def get_model_cost_map_reload_status(
 
     try:
         global prisma_client
+        from litellm.litellm_core_utils.get_model_cost_map import (
+            get_model_cost_map_provenance,
+        )
 
+        provenance: Final = get_model_cost_map_provenance()
         if prisma_client is None:
             verbose_proxy_logger.info("No database connection, returning not scheduled")
-            return reload_schedule_status(None)
+            return {**reload_schedule_status(None), **provenance}
 
-        return reload_schedule_status(await read_reload_schedule(prisma_client, MODEL_COST_MAP_RELOAD_PARAM_NAME))
+        schedule: Final = await read_reload_schedule(prisma_client, MODEL_COST_MAP_RELOAD_PARAM_NAME)
+        return {**reload_schedule_status(schedule), **provenance}
     except Exception as e:
         verbose_proxy_logger.exception("Failed to get model cost map reload status: %s", e)
         raise HTTPException(
@@ -17929,6 +17937,9 @@ async def get_model_cost_map_source(
     - url: the remote URL that was attempted (null when env-forced local)
     - is_env_forced: true if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage
     - fallback_reason: human-readable reason why remote failed (null on success)
+    - loaded_at: when this pod last loaded the map
+    - generated_at, source_revision: the _metadata stamp inside the loaded file
+    - etag: the ETag of the remote fetch (null for the bundled backup)
     - model_count: number of models in the currently loaded cost map
     """
     # Read-only source info — admin viewers can read.
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index b1ffc1583e4..5edb3c0e9d8 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -1,4 +1,8 @@
 {
+    "_metadata": {
+        "generated_at": "2026-09-07T23:38:47Z",
+        "source_revision": "cd681a573fd9f5b6f15a1355f46178e4e9d374d2"
+    },
     "sample_spec": {
         "code_interpreter_cost_per_session": 0.0,
         "computer_use_input_cost_per_1k_tokens": 0.0,
diff --git a/model_prices_and_context_window.schema.json b/model_prices_and_context_window.schema.json
index 47a1934a703..c40c2a67682 100644
--- a/model_prices_and_context_window.schema.json
+++ b/model_prices_and_context_window.schema.json
@@ -1,9 +1,27 @@
 {
   "$schema": "https://json-schema.org/draft/2020-12/schema",
   "title": "LiteLLM model_prices_and_context_window.json",
-  "description": "Schema for LiteLLM's model price and context window registry (https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json). Every top-level key except 'sample_spec' and 'fallback_generalizations' is a model id, optionally prefixed with its provider (e.g. 'azure/gpt-5.4'), mapping to a model entry. All costs are USD per unit. New optional fields are added regularly, so consumers should ignore unknown fields rather than reject them.",
+  "description": "Schema for LiteLLM's model price and context window registry (https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json). Every top-level key except '_metadata', 'sample_spec', and 'fallback_generalizations' is a model id, optionally prefixed with its provider (e.g. 'azure/gpt-5.4'), mapping to a model entry. All costs are USD per unit. New optional fields are added regularly, so consumers should ignore unknown fields rather than reject them.",
   "type": "object",
   "properties": {
+    "_metadata": {
+      "type": "object",
+      "description": "Provenance of this file: when an automated sync last regenerated it and the commit it ran against. Human edits leave it untouched; not a model entry.",
+      "properties": {
+        "generated_at": {
+          "type": "string",
+          "format": "date-time"
+        },
+        "source_revision": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "generated_at",
+        "source_revision"
+      ],
+      "additionalProperties": false
+    },
     "sample_spec": {
       "type": "object",
       "description": "Documentation placeholder illustrating the entry shape; not a real model and not schema-conformant (several values are prose)."
diff --git a/scripts/sync_together_ai_models.py b/scripts/sync_together_ai_models.py
index 12b128890f1..e009f1a7ce6 100644
--- a/scripts/sync_together_ai_models.py
+++ b/scripts/sync_together_ai_models.py
@@ -19,9 +19,11 @@ import argparse
 import json
 import os
 import re
+import subprocess
 import sys
 from collections.abc import Mapping, Sequence
 from dataclasses import dataclass, field
+from datetime import datetime, timezone
 from pathlib import Path
 from types import MappingProxyType
 from typing import Final
@@ -33,6 +35,7 @@ MODELS_URL: Final = "https://api.together.ai/v1/models?serverless"
 DEPRECATIONS_URL: Final = "https://docs.together.ai/docs/deprecations.md"
 PROVIDER: Final = "together_ai"
 PREFIX: Final = "together_ai/"
+METADATA_KEY: Final = "_metadata"
 SOURCE_URL: Final = "https://docs.together.ai/docs/serverless-models"
 COST_MAP_RELPATHS: Final = (
     "model_prices_and_context_window.json",
@@ -495,6 +498,23 @@ def _serialize(cost_map: CostMap) -> str:
     return json.dumps(cost_map, indent=4, ensure_ascii=False) + "\n"
 
 
+def stamp_metadata(cost_map: CostMap, generated_at: str, source_revision: str) -> CostMap:
+    return {**cost_map, METADATA_KEY: {"generated_at": generated_at, "source_revision": source_revision}}
+
+
+def _utc_now_iso() -> str:
+    return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
+
+
+def _source_revision(repo_root: Path) -> str:
+    from_env: Final = os.environ.get("GITHUB_SHA")
+    if from_env:
+        return from_env
+    return subprocess.run(
+        ("git", "rev-parse", "HEAD"), cwd=repo_root, check=True, capture_output=True, text=True
+    ).stdout.strip()
+
+
 def main(argv: Sequence[str]) -> int:
     parser: Final = argparse.ArgumentParser(description=__doc__)
     parser.add_argument("--write", action="store_true", help="apply the sync to the cost map files (default: dry run)")
@@ -527,8 +547,9 @@ def main(argv: Sequence[str]) -> int:
     if args.pr_body_file is not None:
         args.pr_body_file.write_text(body)
     if args.write and outcome.has_changes:
+        stamped: Final = _serialize(stamp_metadata(outcome.cost_map, _utc_now_iso(), _source_revision(args.repo_root)))
         for relpath in COST_MAP_RELPATHS:
-            (args.repo_root / relpath).write_text(_serialize(outcome.cost_map))
+            (args.repo_root / relpath).write_text(stamped)
     print(render_summary(outcome))
     print()
     print(body)
diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index 18185126775..62f72495491 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -17,9 +17,11 @@ from litellm.litellm_core_utils.fallback_generalizations import (
 )
 from litellm.litellm_core_utils.get_model_cost_map import (
     FALLBACK_GENERALIZATIONS_KEY,
+    METADATA_KEY,
     GetModelCostMap,
     _count_model_entries,
     _finalize_model_cost_map,
+    get_model_cost_map_provenance,
 )
 
 
@@ -31,6 +33,20 @@ def _load_root_cost_map() -> dict:
         return json.load(f)
 
 
+def _load_bundled_stamp() -> dict:
+    path = os.path.join(
+        os.path.dirname(__file__), "../../../litellm/model_prices_and_context_window_backup.json"
+    )
+    with open(path) as f:
+        return json.load(f)[METADATA_KEY]
+
+
+_STAMP = {
+    "generated_at": "2026-09-07T00:00:00Z",
+    "source_revision": "0123456789abcdef0123456789abcdef01234567",
+}
+
+
 def _make_models(n: int) -> dict:
     return {
         f"model-{i}": {"litellm_provider": "openai", "mode": "chat"} for i in range(n)
@@ -41,6 +57,7 @@ def test_count_model_entries_excludes_reserved_keys():
     m = _make_models(3)
     m["sample_spec"] = {"foo": "bar"}
     m[FALLBACK_GENERALIZATIONS_KEY] = {"rules": []}
+    m[METADATA_KEY] = dict(_STAMP)
     assert _count_model_entries(m) == 3
 
 
@@ -126,6 +143,39 @@ def test_finalize_with_no_block_clears_rules():
         set_fallback_generalizations(previous)
 
 
+def test_finalize_pops_metadata_and_records_provenance():
+    finalized = _finalize_model_cost_map({**_make_models(2), METADATA_KEY: dict(_STAMP)})
+
+    assert METADATA_KEY not in finalized
+    assert len(finalized) == 2
+    provenance = get_model_cost_map_provenance()
+    assert provenance["generated_at"] == _STAMP["generated_at"]
+    assert provenance["source_revision"] == _STAMP["source_revision"]
+
+
+def test_finalize_without_metadata_clears_the_previous_stamp():
+    _finalize_model_cost_map({**_make_models(2), METADATA_KEY: dict(_STAMP)})
+
+    _finalize_model_cost_map(_make_models(2))
+
+    provenance = get_model_cost_map_provenance()
+    assert provenance["generated_at"] is None
+    assert provenance["source_revision"] is None
+
+
+@pytest.mark.parametrize(
+    "raw",
+    ["2026-09-07T00:00:00Z", {"generated_at": 42}, ["2026-09-07T00:00:00Z"]],
+    ids=["string", "wrong_field_type", "list"],
+)
+def test_finalize_tolerates_a_malformed_metadata_block(raw):
+    finalized = _finalize_model_cost_map({**_make_models(2), METADATA_KEY: raw})
+
+    assert METADATA_KEY not in finalized
+    assert len(finalized) == 2
+    assert get_model_cost_map_provenance()["generated_at"] is None
+
+
 def test_shipped_backup_carries_the_claude_routing_rules():
     """The bundled backup must ship the Claude routing rules so a fresh install
     (or an offline fallback) routes unknown Claude models without code changes.
@@ -340,6 +390,10 @@ def _real_map_bytes() -> bytes:
     return json.dumps(_load_root_cost_map()).encode()
 
 
+def _stamped_map_bytes(stamp: dict) -> bytes:
+    return json.dumps({**_load_root_cost_map(), METADATA_KEY: stamp}).encode()
+
+
 class _SleepRecorder:
     """Injected in place of asyncio.sleep so tests assert waits without real delay."""
 
@@ -500,6 +554,43 @@ async def test_refetch_respects_local_env_override(monkeypatch):
     assert len(result.model_cost_map) > 100
 
 
+@pytest.mark.asyncio
+async def test_refetch_records_the_file_stamp_and_the_fetch_etag():
+    """A reload reports which revision of the map it swapped in: the ``_metadata`` stamp the file
+    carries plus the ETag the fetch returned, with the stamp itself kept out of the model map."""
+    client, _ = _mock_client(
+        [httpx.Response(200, headers={"ETag": 'W/"abc123"'}, content=_stamped_map_bytes(_STAMP))]
+    )
+
+    result = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client)
+
+    assert isinstance(result, ModelCostMapReloaded)
+    assert result.etag == 'W/"abc123"'
+    assert METADATA_KEY not in result.model_cost_map
+    assert get_model_cost_map_provenance() == {
+        "generated_at": _STAMP["generated_at"],
+        "source_revision": _STAMP["source_revision"],
+        "etag": 'W/"abc123"',
+    }
+
+
+@pytest.mark.asyncio
+async def test_refetch_local_override_reports_the_bundled_stamp_without_an_etag(monkeypatch):
+    """Forcing the bundled backup after a remote reload must drop the remote ETag, since the map
+    served is no longer the one that ETag identifies."""
+    remote, _ = _mock_client(
+        [httpx.Response(200, headers={"ETag": 'W/"remote"'}, content=_stamped_map_bytes(_STAMP))]
+    )
+    await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=remote)
+    monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
+
+    result = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0))
+
+    assert isinstance(result, ModelCostMapReloaded)
+    assert METADATA_KEY not in result.model_cost_map
+    assert get_model_cost_map_provenance() == {**_load_bundled_stamp(), "etag": None}
+
+
 # ---------------------------------------------------------------------------
 # get_model_cost_map: the boot-time load retries transient failures like a reload does
 # ---------------------------------------------------------------------------
@@ -542,7 +633,7 @@ def test_boot_load_retries_transient_failures_instead_of_falling_back():
     source = get_model_cost_map_source_info()
     assert source["source"] == "remote"
     assert source["fallback_reason"] is None
-    assert cost_map.keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY}
+    assert cost_map.keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY, METADATA_KEY}
 
 
 def test_boot_load_honors_retry_after_then_falls_back_after_max_attempts():
@@ -592,3 +683,39 @@ def test_boot_load_respects_local_env_override(monkeypatch):
     )
     assert len(cost_map) > 100
     assert get_model_cost_map_source_info()["is_env_forced"] is True
+
+
+def test_boot_load_records_the_file_stamp_and_the_fetch_etag():
+    client, _ = _mock_client(
+        [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_stamped_map_bytes(_STAMP))],
+        client_cls=httpx.Client,
+    )
+
+    cost_map = get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=client)
+
+    assert METADATA_KEY not in cost_map
+    source = get_model_cost_map_source_info()
+    assert source["source"] == "remote"
+    assert source["etag"] == 'W/"boot"'
+    assert source["generated_at"] == _STAMP["generated_at"]
+    assert source["source_revision"] == _STAMP["source_revision"]
+    assert source["loaded_at"] is not None
+
+
+def test_boot_load_fallback_to_the_backup_drops_the_remote_etag():
+    """A boot that lands on the bundled backup reports the backup's own stamp and no ETag, even
+    when an earlier load in the same process had fetched the remote map."""
+    remote, _ = _mock_client(
+        [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_stamped_map_bytes(_STAMP))],
+        client_cls=httpx.Client,
+    )
+    get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=remote)
+    failing, _ = _mock_client([httpx.Response(404)], client_cls=httpx.Client)
+
+    cost_map = get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=failing)
+
+    assert METADATA_KEY not in cost_map
+    source = get_model_cost_map_source_info()
+    assert source["source"] == "local"
+    assert source["etag"] is None
+    assert {"generated_at": source["generated_at"], "source_revision": source["source_revision"]} == _load_bundled_stamp()
diff --git a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
index b75ee1caccf..fb3583a7dd2 100644
--- a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
+++ b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
@@ -11,6 +11,7 @@ Routes covered:
 from __future__ import annotations
 
 import json
+from pathlib import Path
 from unittest.mock import AsyncMock, MagicMock
 
 
@@ -20,6 +21,13 @@ from .conftest import VOLATILE_KEYS, normalize
 # dict-equality assertions remain stable.
 _VOLATILE = VOLATILE_KEYS | frozenset({"timestamp"})
 
+_PROVENANCE = {
+    "generated_at": "2026-09-07T00:00:00Z",
+    "source_revision": "0123456789abcdef0123456789abcdef01234567",
+    "etag": 'W/"cost-map-etag"',
+}
+_ROOT_COST_MAP = Path(__file__).resolve().parents[4] / "model_prices_and_context_window.json"
+
 
 # ---------------------------------------------------------------------------
 # Helpers
@@ -42,6 +50,14 @@ def _attach_litellm_config(mock_prisma):
     return table
 
 
+def _pin_provenance(monkeypatch):
+    """Fix what this process reports as its cost map revision, independent of the map loaded at import."""
+    monkeypatch.setattr(
+        "litellm.litellm_core_utils.get_model_cost_map.get_model_cost_map_provenance",
+        lambda: dict(_PROVENANCE),
+    )
+
+
 # ---------------------------------------------------------------------------
 # POST /reload/model_cost_map
 # ---------------------------------------------------------------------------
@@ -55,6 +71,7 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma):
 
     table = _attach_litellm_config(mock_prisma)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+    _pin_provenance(monkeypatch)
 
     fake_cost_map = {"gpt-4": {"input_cost": 0.03}, "gpt-3.5": {"input_cost": 0.002}}
     monkeypatch.setattr(
@@ -83,6 +100,7 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma):
         "status": "success",
         "models_count": 2,
         "timestamp": "<VOLATILE>",
+        **_PROVENANCE,
     }
     assert table.upsert.await_count == 1
     update_payload = table.upsert.await_args.kwargs["data"]["update"]
@@ -90,6 +108,57 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma):
     assert update_payload["reload_revision"] == {"increment": 1}
 
 
+def test_reload_model_cost_map_surfaces_provenance_and_keeps_metadata_out_of_the_model_list(
+    client, auth_as, monkeypatch, mock_prisma
+):
+    """A real refetch through the reload route reports the file's stamp and the fetch ETag on every
+    status surface, while the ``_metadata`` block never shows up as a model anywhere."""
+    import httpx
+
+    import litellm
+    from litellm.proxy import proxy_server as ps
+    from litellm.proxy._types import LitellmUserRoles
+
+    _attach_litellm_config(mock_prisma)
+    monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+    monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False)
+    stamped = {**json.loads(_ROOT_COST_MAP.read_text()), "_metadata": {k: v for k, v in _PROVENANCE.items() if k != "etag"}}
+    served = httpx.Response(200, headers={"ETag": _PROVENANCE["etag"]}, content=json.dumps(stamped).encode())
+    monkeypatch.setattr(
+        "litellm.litellm_core_utils.get_model_cost_map._default_reload_client",
+        lambda: httpx.AsyncClient(transport=httpx.MockTransport(lambda request: served)),
+    )
+    monkeypatch.setattr("litellm.add_known_models", lambda model_cost_map=None: None)
+    monkeypatch.setattr("litellm.model_cost", {}, raising=False)
+
+    async def _fake_invalidate(name):
+        return None
+
+    monkeypatch.setattr(ps, "invalidate_config_param", _fake_invalidate)
+
+    with auth_as(LitellmUserRoles.PROXY_ADMIN):
+        reload_response = client.post("/reload/model_cost_map")
+        source_response = client.get("/model/cost_map/source")
+        status_response = client.get("/schedule/model_cost_map_reload/status")
+    public_response = client.get("/public/litellm_model_cost_map")
+
+    assert reload_response.status_code == 200
+    reload_body = reload_response.json()
+    assert {key: reload_body[key] for key in _PROVENANCE} == _PROVENANCE
+    assert source_response.status_code == 200
+    source_body = source_response.json()
+    assert {key: source_body[key] for key in _PROVENANCE} == _PROVENANCE
+    assert source_body["source"] == "remote"
+    assert status_response.status_code == 200
+    assert {key: status_response.json()[key] for key in _PROVENANCE} == _PROVENANCE
+    assert public_response.status_code == 200
+    public_body = public_response.json()
+    assert "_metadata" not in public_body
+    assert "_metadata" not in litellm.model_cost
+    assert "gpt-4o" in public_body
+    assert reload_body["models_count"] == len(litellm.model_cost)
+
+
 def test_reload_model_cost_map_fetch_failure_502_keeps_map(
     client, auth_as, monkeypatch, mock_prisma
 ):
@@ -270,11 +339,12 @@ def test_cancel_model_cost_map_reload_no_db_500(client, auth_as, monkeypatch):
 def test_get_model_cost_map_reload_status_no_db_not_scheduled(
     client, auth_as, monkeypatch
 ):
-    """No prisma client → returns the not-scheduled shape (4 keys, all-null)."""
+    """No prisma client → returns the not-scheduled shape (all-null) plus the cost map provenance."""
     from litellm.proxy import proxy_server as ps
     from litellm.proxy._types import LitellmUserRoles
 
     monkeypatch.setattr(ps, "prisma_client", None)
+    _pin_provenance(monkeypatch)
     with auth_as(LitellmUserRoles.PROXY_ADMIN):
         response = client.get("/schedule/model_cost_map_reload/status")
     assert response.status_code == 200
@@ -283,6 +353,7 @@ def test_get_model_cost_map_reload_status_no_db_not_scheduled(
         "interval_hours": None,
         "last_run": None,
         "next_run": None,
+        **_PROVENANCE,
     }
 
 
@@ -300,6 +371,7 @@ def test_get_model_cost_map_reload_status_scheduled(
     config_row.last_run_at = None
     table.find_unique = AsyncMock(return_value=config_row)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+    _pin_provenance(monkeypatch)
 
     with auth_as(LitellmUserRoles.PROXY_ADMIN):
         response = client.get("/schedule/model_cost_map_reload/status")
@@ -309,6 +381,7 @@ def test_get_model_cost_map_reload_status_scheduled(
         "interval_hours": 12,
         "last_run": None,
         "next_run": None,
+        **_PROVENANCE,
     }
 
 
@@ -328,6 +401,7 @@ def test_get_model_cost_map_reload_status_reports_persisted_last_run(
     config_row.last_run_at = datetime(2024, 1, 1, 6, 0, 0, tzinfo=timezone.utc)
     table.find_unique = AsyncMock(return_value=config_row)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+    _pin_provenance(monkeypatch)
 
     with auth_as(LitellmUserRoles.PROXY_ADMIN):
         response = client.get("/schedule/model_cost_map_reload/status")
@@ -337,6 +411,7 @@ def test_get_model_cost_map_reload_status_reports_persisted_last_run(
         "interval_hours": 6,
         "last_run": "2024-01-01T06:00:00+00:00",
         "next_run": "2024-01-01T12:00:00+00:00",
+        **_PROVENANCE,
     }
 
 
@@ -356,6 +431,7 @@ def test_get_model_cost_map_reload_status_no_config_not_scheduled(
     config_row.last_run_at = None
     table.find_unique = AsyncMock(return_value=config_row)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
+    _pin_provenance(monkeypatch)
 
     with auth_as(LitellmUserRoles.PROXY_ADMIN):
         response = client.get("/schedule/model_cost_map_reload/status")
@@ -365,6 +441,7 @@ def test_get_model_cost_map_reload_status_no_config_not_scheduled(
         "interval_hours": None,
         "last_run": None,
         "next_run": None,
+        **_PROVENANCE,
     }
 
 
@@ -391,6 +468,8 @@ def test_get_model_cost_map_source_happy(client, auth_as, monkeypatch):
         "url": "https://example.invalid/cost_map.json",
         "is_env_forced": False,
         "fallback_reason": None,
+        "loaded_at": "2026-09-07T01:02:03+00:00",
+        **_PROVENANCE,
     }
     monkeypatch.setattr(
         "litellm.litellm_core_utils.get_model_cost_map.get_model_cost_map_source_info",
@@ -406,6 +485,8 @@ def test_get_model_cost_map_source_happy(client, auth_as, monkeypatch):
         "url": "https://example.invalid/cost_map.json",
         "is_env_forced": False,
         "fallback_reason": None,
+        "loaded_at": "2026-09-07T01:02:03+00:00",
+        **_PROVENANCE,
         "model_count": 3,
     }
 
diff --git a/tests/test_litellm/test_auto_update_price_and_context_window_file.py b/tests/test_litellm/test_auto_update_price_and_context_window_file.py
new file mode 100644
index 00000000000..d3cda09cd96
--- /dev/null
+++ b/tests/test_litellm/test_auto_update_price_and_context_window_file.py
@@ -0,0 +1,54 @@
+"""Tests for .github/scripts/auto_update_price_and_context_window_file.py."""
+
+import importlib.util
+import json
+import re
+import sys
+from pathlib import Path
+from typing import Final
+
+_REPO_ROOT: Final = Path(__file__).resolve().parents[2]
+_MODULE_PATH: Final = _REPO_ROOT / ".github" / "scripts" / "auto_update_price_and_context_window_file.py"
+_spec: Final = importlib.util.spec_from_file_location("auto_update_price_and_context_window_file", _MODULE_PATH)
+script: Final = importlib.util.module_from_spec(_spec)
+sys.modules[_spec.name] = script
+_spec.loader.exec_module(script)
+
+_LOCAL_FILE: Final = "model_prices_and_context_window.json"
+_GENERATED_AT: Final = re.compile(r"\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z")
+
+
+def _openrouter_row(model_id: str) -> dict:
+    return {"id": model_id, "context_length": 8192, "pricing": {"prompt": "0.000001", "completion": "0.000002"}}
+
+
+def _serve(openrouter_rows: list) -> object:
+    async def fetch_data(url: str) -> list:
+        return openrouter_rows if "openrouter" in url else []
+
+    return fetch_data
+
+
+def _read_local(tmp_path: Path) -> dict:
+    return json.loads((tmp_path / _LOCAL_FILE).read_text())
+
+
+def test_main_stamps_provenance_only_when_the_sync_changed_the_file(tmp_path: Path, monkeypatch) -> None:
+    monkeypatch.chdir(tmp_path)
+    monkeypatch.setenv("GITHUB_SHA", "feedface")
+    monkeypatch.setattr(script, "fetch_data", _serve([_openrouter_row("acme/x")]))
+    (tmp_path / _LOCAL_FILE).write_text(json.dumps({"sample_spec": {"input_cost_per_token": "USD"}}, indent=4) + "\n")
+
+    script.main()
+
+    written = _read_local(tmp_path)
+    assert written["openrouter/acme/x"]["litellm_provider"] == "openrouter"
+    assert written["_metadata"]["source_revision"] == "feedface"
+    assert _GENERATED_AT.fullmatch(written["_metadata"]["generated_at"])
+
+    sentinel = {**written, "_metadata": {**written["_metadata"], "generated_at": "2000-01-01T00:00:00Z"}}
+    (tmp_path / _LOCAL_FILE).write_text(json.dumps(sentinel, indent=4) + "\n")
+
+    script.main()
+
+    assert _read_local(tmp_path) == sentinel
diff --git a/tests/test_litellm/test_cost_map_guard.py b/tests/test_litellm/test_cost_map_guard.py
index 1b4330ed62c..1a60cf81164 100644
--- a/tests/test_litellm/test_cost_map_guard.py
+++ b/tests/test_litellm/test_cost_map_guard.py
@@ -141,6 +141,26 @@ def test_bot_may_not_change_special_root_keys() -> None:
     assert _failures(head) == ("bot PRs may not change fallback_generalizations",)
 
 
+STAMP: Final = {"generated_at": "2026-09-07T00:00:00Z", "source_revision": "0123456789abcdef0123456789abcdef01234567"}
+
+
+def test_bot_may_stamp_and_restamp_metadata() -> None:
+    stamped = _snapshot({**BASE_MAP, "_metadata": STAMP})
+    assert _failures(stamped) == ()
+    assert _failures(stamped, bot=False) == ()
+
+    restamped = _snapshot(
+        {
+            **BASE_MAP,
+            "_metadata": {**STAMP, "generated_at": "2026-09-14T00:00:00Z"},
+            "fallback_generalizations": {"rules": []},
+        }
+    )
+    assert guard.guard_failures(stamped, restamped, MAP_FILES, True) == (
+        "bot PRs may not change fallback_generalizations",
+    )
+
+
 def _commit(repo: Path, cost_map: dict[str, object], message: str) -> str:
     text = _serialize(cost_map)
     (repo / guard.COST_MAP_PATH).write_text(text)
diff --git a/tests/test_litellm/test_model_prices_schema.py b/tests/test_litellm/test_model_prices_schema.py
index c2c22c25998..3517f5840e8 100644
--- a/tests/test_litellm/test_model_prices_schema.py
+++ b/tests/test_litellm/test_model_prices_schema.py
@@ -98,6 +98,25 @@ def test_schema_rejects_malformed_entries(committed_schema: dict, entry: dict):
     assert not validator.is_valid({"some-model": entry})
 
 
+@pytest.mark.parametrize(
+    "metadata",
+    [
+        "2026-09-07T00:00:00Z",
+        {"generated_at": "2026-09-07T00:00:00Z"},
+        {"source_revision": "0123456789abcdef"},
+        {"generated_at": "2026-09-07T00:00:00Z", "source_revision": "0123456789abcdef", "author": "bot"},
+    ],
+    ids=["not_an_object", "missing_revision", "missing_generated_at", "unknown_field"],
+)
+def test_schema_rejects_a_malformed_metadata_block(committed_schema: dict, metadata: object):
+    assert not build_validator(committed_schema).is_valid({"_metadata": metadata})
+
+
+def test_schema_accepts_the_provenance_stamp_as_a_non_model_root_key(committed_schema: dict):
+    stamp = {"generated_at": "2026-09-07T00:00:00Z", "source_revision": "0123456789abcdef0123456789abcdef01234567"}
+    assert build_validator(committed_schema).is_valid({"_metadata": stamp})
+
+
 def test_schema_accepts_minimal_and_unknown_optional_fields(committed_schema: dict):
     validator = build_validator(committed_schema)
     assert validator.is_valid({"some-model": {"litellm_provider": "openai"}})
diff --git a/tests/test_litellm/test_sync_together_ai_models.py b/tests/test_litellm/test_sync_together_ai_models.py
index b8a85bcfbdc..f58f573c208 100644
--- a/tests/test_litellm/test_sync_together_ai_models.py
+++ b/tests/test_litellm/test_sync_together_ai_models.py
@@ -1,5 +1,6 @@
 import importlib.util
 import json
+import re
 from pathlib import Path
 from types import MappingProxyType
 
@@ -369,6 +370,58 @@ def test_sync_is_idempotent_over_the_repo_cost_map() -> None:
     assert second.cost_map == first.cost_map
 
 
+def test_stamp_metadata_adds_the_provenance_block_without_touching_models() -> None:
+    cost_map = {"sample_spec": {"input_cost_per_token": "USD"}, "together_ai/acme/x": {"mode": "chat"}}
+
+    stamped = sync.stamp_metadata(cost_map, "2026-09-07T00:00:00Z", "feedface")
+
+    assert stamped["_metadata"] == {"generated_at": "2026-09-07T00:00:00Z", "source_revision": "feedface"}
+    assert {key: value for key, value in stamped.items() if key != "_metadata"} == cost_map
+    assert "_metadata" not in cost_map
+
+
+def _write_registry(repo_root: Path, cost_map: dict) -> None:
+    for relpath in sync.COST_MAP_RELPATHS:
+        target = repo_root / relpath
+        target.parent.mkdir(parents=True, exist_ok=True)
+        target.write_text(json.dumps(cost_map, indent=4) + "\n")
+
+
+def _read_registries(repo_root: Path) -> tuple[dict, ...]:
+    return tuple(json.loads((repo_root / relpath).read_text()) for relpath in sync.COST_MAP_RELPATHS)
+
+
+def test_write_stamps_provenance_into_both_files_only_when_the_sync_changed_them(tmp_path: Path, monkeypatch) -> None:
+    monkeypatch.setenv("GITHUB_SHA", "feedface")
+    cost_map = json.loads((ROOT / "model_prices_and_context_window.json").read_text())
+    dropped = next(f"together_ai/{model.id}" for model in RECORDED_CATALOG if f"together_ai/{model.id}" in cost_map)
+    _write_registry(tmp_path, {key: value for key, value in cost_map.items() if key not in {dropped, "_metadata"}})
+    argv = (
+        "--write",
+        "--models-json",
+        str(FIXTURES / "models_serverless.json"),
+        "--deprecations-md",
+        str(FIXTURES / "deprecations.md"),
+        "--repo-root",
+        str(tmp_path),
+    )
+
+    assert sync.main(argv) == 0
+
+    written = _read_registries(tmp_path)
+    assert written[0] == written[1]
+    assert dropped in written[0]
+    assert written[0]["_metadata"]["source_revision"] == "feedface"
+    assert re.fullmatch(r"\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z", written[0]["_metadata"]["generated_at"])
+
+    sentinel = {**written[0], "_metadata": {**written[0]["_metadata"], "generated_at": "2000-01-01T00:00:00Z"}}
+    _write_registry(tmp_path, sentinel)
+
+    assert sync.main(argv) == 0
+
+    assert _read_registries(tmp_path) == (sentinel, sentinel)
+
+
 def test_pr_body_lists_every_section_and_the_skipped_types() -> None:
     outcome = sync.compute_sync({}, RECORDED_CATALOG, RECORDED_DOC)
     body = sync.render_pr_body(outcome)
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
index 01381df1620..a85211f498c 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
@@ -32,8 +32,18 @@ const remoteSource = {
   url: "https://pricing.example.test/model_prices.json",
   is_env_forced: false,
   fallback_reason: null,
+  loaded_at: null,
+  generated_at: null,
+  source_revision: null,
+  etag: null,
   model_count: 1234,
 };
+const provenance = {
+  loaded_at: "2026-09-07T10:00:00Z",
+  generated_at: "2026-09-06T23:38:47Z",
+  source_revision: "cd681a573fd9f5b6f15a1355f46178e4e9d374d2",
+  etag: 'W/"eb8e9a53f4cc284b"',
+};
 
 describe("PriceDataReload", () => {
   beforeEach(() => {
@@ -51,6 +61,30 @@ describe("PriceDataReload", () => {
     expect(screen.getByText("No periodic reload scheduled")).toBeInTheDocument();
   });
 
+  it("shows which revision of the cost map is loaded when the source reports one", async () => {
+    vi.mocked(getModelCostMapSource).mockResolvedValue({ ...remoteSource, ...provenance } as never);
+    render(<PriceDataReload accessToken="sk-test" />);
+
+    expect(await screen.findByText("Source revision:")).toBeInTheDocument();
+    expect(screen.getByText("cd681a573fd9")).toBeInTheDocument();
+    expect(screen.getByText("ETag:")).toBeInTheDocument();
+    expect(screen.getByText('W/"eb8e9a53f4cc284b"')).toBeInTheDocument();
+    expect(screen.getByText("Generated at:")).toBeInTheDocument();
+    expect(screen.getByText(new Date(provenance.generated_at).toLocaleString())).toBeInTheDocument();
+    expect(screen.getByText("Loaded at:")).toBeInTheDocument();
+    expect(screen.getByText(new Date(provenance.loaded_at).toLocaleString())).toBeInTheDocument();
+  });
+
+  it("hides the provenance rows when the loaded map carries no stamp", async () => {
+    render(<PriceDataReload accessToken="sk-test" />);
+
+    expect(await screen.findByText("Pricing Data Source")).toBeInTheDocument();
+    expect(screen.queryByText("Generated at:")).not.toBeInTheDocument();
+    expect(screen.queryByText("Source revision:")).not.toBeInTheDocument();
+    expect(screen.queryByText("ETag:")).not.toBeInTheDocument();
+    expect(screen.queryByText("Loaded at:")).not.toBeInTheDocument();
+  });
+
   it("confirms an immediate reload and refreshes dependent data", async () => {
     const user = userEvent.setup();
     const onReloadSuccess = vi.fn();
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.tsx b/ui/litellm-dashboard/src/components/price_data_reload.tsx
index 1c6801eede2..3bb70072937 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.tsx
@@ -49,9 +49,17 @@ interface CostMapSourceInfo {
   url: string | null;
   is_env_forced: boolean;
   fallback_reason: string | null;
+  loaded_at: string | null;
+  generated_at: string | null;
+  source_revision: string | null;
+  etag: string | null;
   model_count: number;
 }
 
+const SHORT_REVISION_LENGTH = 12;
+
+const shortRevision = (revision: string) => revision.slice(0, SHORT_REVISION_LENGTH);
+
 const EMPTY_RELOAD_STATUS: ReloadStatus = {
   scheduled: false,
   interval_hours: null,
@@ -89,6 +97,55 @@ const isValidReloadInterval = (value: number) => {
   return value >= 1 && value <= 168;
 };
 
+const formatDateTime = (dateTimeString: string | null) => {
+  if (!dateTimeString) return "Never";
+  try {
+    return new Date(dateTimeString).toLocaleString();
+  } catch {
+    return dateTimeString;
+  }
+};
+
+const CostMapProvenanceRows: React.FC<{ sourceInfo: CostMapSourceInfo }> = ({ sourceInfo }) => (
+  <>
+    {sourceInfo.generated_at && (
+      <div className="flex items-center justify-between text-xs">
+        <span className="text-muted-foreground">Generated at:</span>
+        <span className="font-medium">{formatDateTime(sourceInfo.generated_at)}</span>
+      </div>
+    )}
+
+    {sourceInfo.source_revision && (
+      <div className="flex items-center justify-between gap-2 text-xs">
+        <span className="text-muted-foreground">Source revision:</span>
+        <Tooltip>
+          <TooltipTrigger render={<code className="font-mono" />}>
+            {shortRevision(sourceInfo.source_revision)}
+          </TooltipTrigger>
+          <TooltipContent>{sourceInfo.source_revision}</TooltipContent>
+        </Tooltip>
+      </div>
+    )}
+
+    {sourceInfo.etag && (
+      <div className="flex items-center justify-between gap-2 text-xs">
+        <span className="text-muted-foreground">ETag:</span>
+        <Tooltip>
+          <TooltipTrigger render={<code className="max-w-60 truncate font-mono" />}>{sourceInfo.etag}</TooltipTrigger>
+          <TooltipContent>{sourceInfo.etag}</TooltipContent>
+        </Tooltip>
+      </div>
+    )}
+
+    {sourceInfo.loaded_at && (
+      <div className="flex items-center justify-between text-xs">
+        <span className="text-muted-foreground">Loaded at:</span>
+        <span className="font-medium">{formatDateTime(sourceInfo.loaded_at)}</span>
+      </div>
+    )}
+  </>
+);
+
 const PriceDataReload: React.FC<PriceDataReloadProps> = ({
   accessToken,
   onReloadSuccess,
@@ -227,15 +284,6 @@ const PriceDataReload: React.FC<PriceDataReloadProps> = ({
     }
   };
 
-  const formatDateTime = (dateTimeString: string | null) => {
-    if (!dateTimeString) return "Never";
-    try {
-      return new Date(dateTimeString).toLocaleString();
-    } catch {
-      return dateTimeString;
-    }
-  };
-
   const getStatusText = () => {
     if (!reloadStatus?.scheduled) return "Not scheduled";
     if (!reloadStatus.last_run) return "Ready";
@@ -334,6 +382,8 @@ const PriceDataReload: React.FC<PriceDataReloadProps> = ({
                 </div>
               )}
 
+              <CostMapProvenanceRows sourceInfo={sourceInfo} />
+
               {sourceInfo.is_env_forced && (
                 <div className="flex items-center gap-1.5 text-xs text-muted-foreground">
                   <Info className="size-3.5 shrink-0" />
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 6fb08445aff..7b9b24c9627 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -8684,6 +8684,9 @@ export interface paths {
          *     - url: the remote URL that was attempted (null when env-forced local)
          *     - is_env_forced: true if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage
          *     - fallback_reason: human-readable reason why remote failed (null on success)
+         *     - loaded_at: when this pod last loaded the map
+         *     - generated_at, source_revision: the _metadata stamp inside the loaded file
+         *     - etag: the ETag of the remote fetch (null for the bundled backup)
          *     - model_count: number of models in the currently loaded cost map
          */
         get: operations["get_model_cost_map_source_model_cost_map_source_get"];

From 7d3b68fea5a6343781401e52f40b02f6c581541c Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 16:59:53 -0700
Subject: [PATCH 051/223] fix(files): preserve managed deletion routing and
 response identity

---
 .../proxy/hooks/managed_files.py              |  13 ++-
 tests/e2e/batches/COVERAGE.md                 |   3 +
 .../proxy/test_managed_files_hook.py          | 104 ++++++++++++++++++
 3 files changed, 118 insertions(+), 2 deletions(-)

diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
index bc1eb6cebc2..6e0bb0da3f4 100644
--- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
+++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py
@@ -1779,7 +1779,16 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
             # Remove conflicting keys from data to avoid duplicate keyword arguments
             filtered_data = {k: v for k, v in data.items() if k not in ("model", "file_id")}
             for model_id, model_file_id in specific_model_file_id_mapping.items():
-                delete_response = await llm_router.afile_delete(model=model_id, file_id=model_file_id, **filtered_data)  # type: ignore
+                credentials = llm_router.get_deployment_credentials_with_provider(model_id=model_id)
+                delete_data = {
+                    **{k: v for k, v in filtered_data.items() if k != "_litellm_internal_model_credentials"},
+                    **(
+                        {"_litellm_internal_model_credentials": MappingProxyType(dict(credentials))}
+                        if credentials is not None
+                        else {}
+                    ),
+                }
+                delete_response = await llm_router.afile_delete(model=model_id, file_id=model_file_id, **delete_data)
 
         stored_file_object = await self.delete_unified_file_id(file_id, litellm_parent_otel_span)
 
@@ -1790,7 +1799,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints):
                 prom_logger.record_managed_file_deleted(result="success")
 
         if stored_file_object:
-            return stored_file_object
+            return OpenAIFileObject.model_validate(stored_file_object).model_copy(update={"id": file_id})
         elif delete_response:
             delete_response.id = file_id
             return delete_response
diff --git a/tests/e2e/batches/COVERAGE.md b/tests/e2e/batches/COVERAGE.md
index ca44fc95e25..919c39f21a2 100644
--- a/tests/e2e/batches/COVERAGE.md
+++ b/tests/e2e/batches/COVERAGE.md
@@ -138,6 +138,9 @@ output and error files returned by terminal batches. Bedrock deletion uses a sig
 restricted to the configured storage buckets and managed file prefixes. The low-RPM
 test submits with its restricted key and cleans up with the test administrator key
 
+Managed deletion forwards the deployment's trusted bucket configuration and returns
+the requested managed file ID even when stored output metadata carries a provider ID
+
 Azure input uploads request `expires_after` anchored to `created_at` with
 `seconds=1209600`, and the lifecycle tests check the returned expiry. This is a
 fallback for interrupted runs: immediate deletion remains the normal cleanup.
diff --git a/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py b/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py
index 091b958d7c3..48fceb50403 100644
--- a/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py
+++ b/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py
@@ -1095,6 +1095,110 @@ async def test_afile_content_passes_trusted_model_credentials_to_router():
     assert trusted_credentials["s3_bucket_name"] == "my-bucket"
 
 
+def _managed_deletion_file_id(provider_file_id):
+    from litellm.types.utils import SpecialEnums
+
+    value = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format(
+        "application/json", "test-file", "batch-model", provider_file_id, "model-123"
+    )
+    return base64.urlsafe_b64encode(value.encode()).decode().rstrip("=")
+
+
+def _managed_files_with_deletion_row(unified_file_id, provider_file_id, file_object):
+    from litellm.caching import DualCache
+    from litellm.models.managed_files import LiteLLM_ManagedFileTable
+    from litellm_enterprise.proxy.hooks.managed_files import _PROXY_LiteLLMManagedFiles
+
+    row = LiteLLM_ManagedFileTable(
+        unified_file_id=unified_file_id,
+        model_mappings={"model-123": provider_file_id},
+        flat_model_file_ids=[provider_file_id],
+        file_object=file_object,
+    )
+    table = MagicMock(
+        find_first=AsyncMock(return_value=row),
+        delete=AsyncMock(),
+    )
+    return _PROXY_LiteLLMManagedFiles(
+        internal_usage_cache=DualCache(),
+        prisma_client=MagicMock(db=MagicMock(litellm_managedfiletable=table)),
+    ), table
+
+
+@pytest.mark.asyncio
+async def test_afile_delete_bedrock_uses_deployment_bucket_and_signed_s3_delete(monkeypatch):
+    import httpx
+    import respx
+
+    from litellm import Router
+
+    monkeypatch.delenv("AWS_S3_BUCKET_NAME", raising=False)
+    monkeypatch.delenv("AWS_S3_OUTPUT_BUCKET_NAME", raising=False)
+    monkeypatch.setenv("DISABLE_AIOHTTP_TRANSPORT", "True")
+    router = Router(
+        model_list=[
+            {
+                "model_name": "bedrock-batch",
+                "litellm_params": {
+                    "model": "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0",
+                    "aws_access_key_id": "AKIAEXAMPLE",
+                    "aws_secret_access_key": "secret",
+                    "aws_region_name": "us-west-2",
+                    "s3_bucket_name": "my-bucket",
+                },
+                "model_info": {"id": "model-123"},
+            }
+        ],
+        num_retries=0,
+    )
+    s3_uri = "s3://my-bucket/litellm-bedrock-files/input.jsonl"
+    unified_file_id = _managed_deletion_file_id(s3_uri)
+    managed_files, table = _managed_files_with_deletion_row(unified_file_id, s3_uri, None)
+    with respx.mock:
+        route = respx.delete(
+            "https://s3.us-west-2.amazonaws.com/my-bucket/litellm-bedrock-files/input.jsonl"
+        ).mock(return_value=httpx.Response(204))
+        response = await managed_files.afile_delete(
+            file_id=unified_file_id,
+            litellm_parent_otel_span=None,
+            llm_router=router,
+            _litellm_internal_model_credentials={"s3_bucket_name": "request-bucket"},
+        )
+
+    assert len(route.calls) == 1
+    assert route.calls[0].request.headers["Authorization"].startswith("AWS4-HMAC-SHA256")
+    assert response.id == unified_file_id
+    assert response.deleted is True
+    table.delete.assert_awaited_once_with(where={"unified_file_id": unified_file_id})
+
+
+@pytest.mark.asyncio
+async def test_afile_delete_returns_managed_id_for_stored_provider_output():
+    from openai.types import FileDeleted
+
+    provider_file_id = "file-error-output"
+    unified_file_id = _managed_deletion_file_id(provider_file_id)
+    stored_file = _make_file_object(provider_file_id)
+    managed_files, table = _managed_files_with_deletion_row(unified_file_id, provider_file_id, stored_file)
+    router = MagicMock(
+        get_deployment_credentials_with_provider=MagicMock(return_value=None),
+        afile_delete=AsyncMock(return_value=FileDeleted(id=provider_file_id, object="file", deleted=True)),
+    )
+    response = await managed_files.afile_delete(
+        file_id=unified_file_id,
+        litellm_parent_otel_span=None,
+        llm_router=router,
+        _litellm_internal_model_credentials={"s3_bucket_name": "request-bucket"},
+    )
+
+    assert response.id == unified_file_id
+    assert response.object == "file"
+    assert response.filename == stored_file.filename
+    assert stored_file.id == provider_file_id
+    router.afile_delete.assert_awaited_once_with(model="model-123", file_id=provider_file_id)
+    table.delete.assert_awaited_once_with(where={"unified_file_id": unified_file_id})
+
+
 @pytest.mark.asyncio
 async def test_afile_content_bedrock_unified_id_end_to_end(monkeypatch):
     """

From 4cc0180eab7482a59722e68999def58e11077a72 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:06:34 -0700
Subject: [PATCH 052/223] fix(router): keep unresolved drop_params strings so
 DB rows and env refs survive

The drop_params validator collapsed every string it did not recognize to None. A pre-fix DB row holds the flag as ciphertext, so a partial PATCH rebuilt the deployment without it and dropped the key from the stored row, and /model/new turned an os.environ/ reference into nothing before the loader could resolve it. The validator now returns the raw value when it is not a boolean flag, the field admits strings the way timeout already does, and the flag set follows pydantic's lax bool parsing instead of a hand-rolled true/false pair
---
 litellm/litellm_core_utils/core_helpers.py    | 15 +++++-----
 litellm/types/router.py                       |  7 +++--
 .../litellm_core_utils/test_core_helpers.py   | 11 +++++--
 .../test_model_management_endpoints.py        | 27 ++++++++++++++++-
 .../proxy/proxy_server/test_proxy_config.py   | 30 +++++++++++++++++++
 tests/test_litellm/types/test_router.py       | 23 ++++++++++++++
 ui/litellm-dashboard/src/lib/http/schema.d.ts |  4 +--
 7 files changed, 101 insertions(+), 16 deletions(-)

diff --git a/litellm/litellm_core_utils/core_helpers.py b/litellm/litellm_core_utils/core_helpers.py
index 671b2ddce99..bd7a1b8f384 100644
--- a/litellm/litellm_core_utils/core_helpers.py
+++ b/litellm/litellm_core_utils/core_helpers.py
@@ -5,6 +5,7 @@ from collections.abc import Iterable, Mapping
 from typing import TYPE_CHECKING, Any, Final, Literal
 
 import httpx
+from pydantic import TypeAdapter, ValidationError
 
 from litellm._logging import verbose_logger
 from litellm.types.llms.openai import AllMessageValues, OpenAIChatCompletionFinishReason
@@ -37,16 +38,16 @@ def safe_divide_seconds(seconds: float, denominator: float, default: float | Non
     return float(seconds / denominator)
 
 
+_DROP_PARAMS_BOOL: Final = TypeAdapter(bool)
+
+
 def normalize_drop_params(value: object) -> bool | None:
     if isinstance(value, bool):
         return value
-    if isinstance(value, str):
-        lowered: Final = value.strip().lower()
-        if lowered == "true":
-            return True
-        if lowered == "false":
-            return False
-    return None
+    try:
+        return _DROP_PARAMS_BOOL.validate_python(value.strip() if isinstance(value, str) else value)
+    except ValidationError:
+        return None
 
 
 def safe_divide(
diff --git a/litellm/types/router.py b/litellm/types/router.py
index e2a04f9da77..47aea6430c3 100644
--- a/litellm/types/router.py
+++ b/litellm/types/router.py
@@ -315,7 +315,7 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams):
     timeout: float | str | httpx.Timeout | None = None  # if str, pass in as os.environ/
     stream_timeout: float | str | None = None  # timeout when making stream=True calls, if str, pass in as os.environ/
     max_retries: int | None = None
-    drop_params: bool | None = None
+    drop_params: bool | str | None = None
     organization: str | None = None  # for openai orgs
     configurable_clientside_auth_params: CONFIGURABLE_CLIENTSIDE_AUTH_PARAMS = None
     litellm_credential_name: str | None = None
@@ -408,8 +408,9 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams):
 
     @field_validator("drop_params", mode="before")
     @classmethod
-    def coerce_drop_params(cls, value: object) -> bool | None:
-        return normalize_drop_params(value)
+    def coerce_drop_params(cls, value: object) -> object:
+        normalized: Final = normalize_drop_params(value)
+        return value if normalized is None else normalized
 
     def __contains__(self, key) -> bool:
         # Define custom behavior for the 'in' operator
diff --git a/tests/test_litellm/litellm_core_utils/test_core_helpers.py b/tests/test_litellm/litellm_core_utils/test_core_helpers.py
index ab43141af23..8797f7c3591 100644
--- a/tests/test_litellm/litellm_core_utils/test_core_helpers.py
+++ b/tests/test_litellm/litellm_core_utils/test_core_helpers.py
@@ -268,11 +268,16 @@ class TestRedactNestedMatchAndRegexKeys:
         (" TRUE ", True),
         ("false", False),
         ("False", False),
+        ("yes", True),
+        ("off", False),
+        ("1", True),
+        (1, True),
+        (0, False),
         (None, None),
-        ("yes", None),
         ("", None),
-        (1, None),
-        (0, None),
+        ("os.environ/DROP_PARAMS", None),
+        ("v2:gcm:not-a-flag", None),
+        (2, None),
     ],
 )
 def test_normalize_drop_params(value, expected):
diff --git a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
index d90338f8480..c02f886fc31 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
@@ -30,7 +30,7 @@ from litellm.proxy.management_endpoints.model_management_endpoints import (
 )
 from litellm.proxy.utils import PrismaClient
 from litellm.router import Router
-from litellm.types.router import Deployment, LiteLLM_Params, updateDeployment
+from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo, updateDeployment, updateLiteLLMParams
 
 
 async def _passthrough_row(update_data):
@@ -3070,6 +3070,31 @@ class TestUpdateDBModelBlocked:
         assert "blocked" not in result
 
 
+class TestUpdateDBModelKeepsLegacyDropParams:
+    def test_partial_patch_keeps_encrypted_string_drop_params(self, monkeypatch):
+        from litellm.proxy.common_utils.encrypt_decrypt_utils import decrypt_value_helper
+        from litellm.proxy.management_endpoints.model_management_endpoints import update_db_model
+
+        monkeypatch.setenv("LITELLM_SALT_KEY", "sk-1234")
+        legacy_row = Deployment(
+            model_name="gpt-5-nano",
+            litellm_params=LiteLLM_Params(
+                model="openai/gpt-5-nano",
+                api_key=encrypt_value_helper(value="sk-old"),
+                drop_params=encrypt_value_helper(value="true"),
+            ),
+            model_info=ModelInfo(id="legacy-row"),
+        )
+
+        result = update_db_model(
+            db_model=legacy_row,
+            updated_patch=updateDeployment(litellm_params=updateLiteLLMParams(api_key="sk-new")),
+        )
+
+        stored = json.loads(result["litellm_params"])
+        assert decrypt_value_helper(value=stored["drop_params"], key="drop_params") == "true"
+
+
 def _build_db_model_with_pricing():
     """Wildcard deployment with custom pricing in litellm_params; Deployment.__init__
     mirrors SPECIAL_MODEL_INFO_PARAMS into model_info, so both blobs hold the rate."""
diff --git a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
index 2babfe432f3..a4be9574f89 100644
--- a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
+++ b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
@@ -19,6 +19,7 @@ import pytest
 
 import litellm
 from litellm.proxy._types import CommonProxyErrors
+from litellm.proxy.common_utils.encrypt_decrypt_utils import encrypt_value_helper
 from litellm.proxy.proxy_server import (
     ProxyConfig,
     _is_remote_module_url,
@@ -2401,6 +2402,35 @@ def test_ProxyConfig__add_deployment_resolves_env_refs_on_arbitrary_field(monkey
     assert deployment.litellm_params.some_future_field == "resolved-custom-value"
 
 
+@pytest.mark.parametrize(
+    "stored_drop_params",
+    ["true", "os.environ/DROP_PARAMS_FLAG"],
+)
+def test_ProxyConfig__add_deployment_turns_stored_drop_params_string_into_bool(monkeypatch, stored_drop_params):
+    monkeypatch.setenv("LITELLM_SALT_KEY", "sk-1234")
+    monkeypatch.setenv("DROP_PARAMS_FLAG", "true")
+    fake_router = MagicMock()
+    fake_router.upsert_deployment = MagicMock(return_value=True)
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", fake_router)
+    pc = ProxyConfig()
+    db_model = SimpleNamespace(
+        model_id="model-1",
+        model_name="gpt-5-nano",
+        model_info={"id": "model-1"},
+        litellm_params={
+            "model": encrypt_value_helper(value="openai/gpt-5-nano"),
+            "drop_params": encrypt_value_helper(value=stored_drop_params),
+        },
+        blocked=False,
+    )
+
+    added = pc._add_deployment(db_models=[db_model])
+    deployment = fake_router.upsert_deployment.call_args.kwargs["deployment"]
+
+    assert added == 1
+    assert deployment.litellm_params.drop_params is True
+
+
 # ---------------------------------------------------------------------------
 # ProxyConfig.decrypt_model_list_from_db
 # ---------------------------------------------------------------------------
diff --git a/tests/test_litellm/types/test_router.py b/tests/test_litellm/types/test_router.py
index accd3b32a0d..2f4a29473c3 100644
--- a/tests/test_litellm/types/test_router.py
+++ b/tests/test_litellm/types/test_router.py
@@ -1,8 +1,10 @@
 import pytest
+from pydantic import ValidationError
 
 from litellm.types.router import (
     SPECIAL_MODEL_INFO_PARAMS,
     Deployment,
+    GenericLiteLLMParams,
     LiteLLM_Params,
     ModelInfo,
 )
@@ -89,3 +91,24 @@ def test_pricing_strings_are_coerced_to_float():
 def test_invalid_pricing_is_rejected():
     with pytest.raises(ValueError, match='validation error for ModelInfo'):
         ModelInfo(id="x", input_cost_per_token="free")
+
+
+@pytest.mark.parametrize(
+    "value, expected",
+    [
+        (True, True),
+        ("true", True),
+        (" False ", False),
+        ("yes", True),
+        (None, None),
+        ("os.environ/DROP_PARAMS", "os.environ/DROP_PARAMS"),
+        ("v2:gcm:ciphertext-from-a-pre-fix-row", "v2:gcm:ciphertext-from-a-pre-fix-row"),
+    ],
+)
+def test_drop_params_coerces_flags_and_keeps_unresolved_strings(value, expected):
+    assert GenericLiteLLMParams(drop_params=value).drop_params == expected
+
+
+def test_drop_params_rejects_non_flag_non_string_values():
+    with pytest.raises(ValidationError):
+        GenericLiteLLMParams(drop_params=2)
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index f7552bfb397..7b5edf6acfd 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -29397,7 +29397,7 @@ export interface components {
             /** Default Api Key Tpm Limit */
             default_api_key_tpm_limit?: number | null;
             /** Drop Params */
-            drop_params?: boolean | null;
+            drop_params?: boolean | string | null;
             /** Gcs Bucket Name */
             gcs_bucket_name?: string | null;
             /** Google Maps Grounding Cost Per Query */
@@ -39570,7 +39570,7 @@ export interface components {
             /** Default Api Key Tpm Limit */
             default_api_key_tpm_limit?: number | null;
             /** Drop Params */
-            drop_params?: boolean | null;
+            drop_params?: boolean | string | null;
             /** Gcs Bucket Name */
             gcs_bucket_name?: string | null;
             /** Google Maps Grounding Cost Per Query */

From 1067697c7b471200cd26ee93834f71b09d013415 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:11:56 -0700
Subject: [PATCH 053/223] refactor(utils): gate the triton branch on
 bool(drop_params) like every other provider

---
 litellm/utils.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/utils.py b/litellm/utils.py
index 59db4162410..50282674868 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -4302,7 +4302,7 @@ def get_optional_params(
             non_default_params=non_default_params,
             optional_params=optional_params,
             model=model,
-            drop_params=drop_params if drop_params is not None else False,
+            drop_params=bool(drop_params),
         )
 
     elif custom_llm_provider == "maritalk":

From dc09d9e7cfbd62f590f73fdb1844bc2aac5578bf Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:24:17 -0700
Subject: [PATCH 054/223] feat(bedrock): add TwelveLabs Marengo Embed 3.0
 embeddings

---
 litellm/constants.py                          |   1 +
 litellm/llms/bedrock/embed/embedding.py       |   2 +-
 .../twelvelabs_marengo_3_transformation.py    | 204 +++++++++++++
 .../twelvelabs_marengo_transformation.py      |  51 +++-
 ...odel_prices_and_context_window_backup.json |  39 +++
 litellm/types/llms/bedrock.py                 | 113 +++++++-
 litellm/utils.py                              |   2 +-
 model_prices_and_context_window.json          |  39 +++
 .../test_bedrock_async_invoke_embedding.py    |  38 +++
 .../bedrock/embed/test_bedrock_embedding.py   | 129 +++++++++
 ...est_twelvelabs_marengo_3_transformation.py | 268 ++++++++++++++++++
 ..._bedrock_marengo_embed_3_model_metadata.py |  88 ++++++
 12 files changed, 961 insertions(+), 13 deletions(-)
 create mode 100644 litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
 create mode 100644 tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
 create mode 100644 tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py

diff --git a/litellm/constants.py b/litellm/constants.py
index d53686e5e5b..78cca3c6212 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -1370,6 +1370,7 @@ bedrock_embedding_models: Final[set] = set(
         "cohere.embed-multilingual-v3",
         "cohere.embed-v4:0",
         "twelvelabs.marengo-embed-2-7-v1:0",
+        "twelvelabs.marengo-embed-3-0-v1:0",
     ]
 )
 
diff --git a/litellm/llms/bedrock/embed/embedding.py b/litellm/llms/bedrock/embed/embedding.py
index 5fb86d476f4..ab27afcf817 100644
--- a/litellm/llms/bedrock/embed/embedding.py
+++ b/litellm/llms/bedrock/embed/embedding.py
@@ -474,7 +474,7 @@ class BedrockEmbedding(BaseAWSLLM):
         elif provider == "twelvelabs":
             batch_data = []
             for i in input:
-                twelvelabs_request = TwelveLabsMarengoEmbeddingConfig()._transform_request(
+                twelvelabs_request = TwelveLabsMarengoEmbeddingConfig(model=model)._transform_request(
                     input=i,
                     inference_params=inference_params,
                     async_invoke_route=has_async_invoke,
diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
new file mode 100644
index 00000000000..2ea99db47f0
--- /dev/null
+++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
@@ -0,0 +1,204 @@
+"""
+Request builder for Bedrock TwelveLabs Marengo Embed 3.0, whose payload nests the input under a key named after
+``inputType`` instead of the flat 2.7 layout.
+
+Docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-marengo-3.html
+"""
+
+from collections.abc import Mapping
+from types import MappingProxyType
+from typing import Final, assert_never
+
+from pydantic import BaseModel, ConfigDict, TypeAdapter, ValidationError
+
+from litellm.llms.bedrock.common_utils import BedrockError
+from litellm.types.llms.bedrock import (
+    TWELVELABS_MARENGO_3_EMBEDDING_OPTIONS,
+    TWELVELABS_MARENGO_3_EMBEDDING_SCOPES,
+    TWELVELABS_MARENGO_3_EMBEDDING_TYPES,
+    TWELVELABS_MARENGO_3_INPUT_TYPES,
+    TwelveLabsMarengo3AudioRequest,
+    TwelveLabsMarengo3EmbeddingRequest,
+    TwelveLabsMarengo3ImageRequest,
+    TwelveLabsMarengo3MultiInputRequest,
+    TwelveLabsMarengo3NamedMediaSource,
+    TwelveLabsMarengo3RequestBase,
+    TwelveLabsMarengo3Segmentation,
+    TwelveLabsMarengo3TextImageRequest,
+    TwelveLabsMarengo3TextRequest,
+    TwelveLabsMarengo3TimedMediaInput,
+    TwelveLabsMarengo3TimedMediaOptions,
+    TwelveLabsMarengo3VideoRequest,
+    TwelveLabsMediaSource,
+    TwelveLabsS3Location,
+)
+from litellm.utils import get_base64_str
+
+MARENGO_3_MODEL_MARKER: Final = "marengo-embed-3"
+S3_URI_PREFIX: Final = "s3://"
+TIMED_MEDIA_OPTION_FIELDS: Final = MappingProxyType(
+    {
+        "startSec": True,
+        "endSec": True,
+        "segmentation": True,
+        "embeddingOption": True,
+        "embeddingType": True,
+        "embeddingScope": True,
+    }
+)
+TIMED_MEDIA_OPTIONS: Final = TypeAdapter(TwelveLabsMarengo3TimedMediaOptions)
+
+
+def is_marengo_3_model(model: str | None) -> bool:
+    return MARENGO_3_MODEL_MARKER in (model or "")
+
+
+class Marengo3Params(BaseModel):
+    model_config = ConfigDict(extra="ignore", frozen=True)
+
+    inputType: TWELVELABS_MARENGO_3_INPUT_TYPES | None = None
+    input_type: TWELVELABS_MARENGO_3_INPUT_TYPES | None = None
+    media_source: str | None = None
+    media_sources: Mapping[str, str] | None = None
+    bucketOwner: str | None = None
+    startSec: float | None = None
+    endSec: float | None = None
+    segmentation: TwelveLabsMarengo3Segmentation | None = None
+    embeddingOption: tuple[TWELVELABS_MARENGO_3_EMBEDDING_OPTIONS, ...] | None = None
+    embeddingType: tuple[TWELVELABS_MARENGO_3_EMBEDDING_TYPES, ...] | None = None
+    embeddingScope: tuple[TWELVELABS_MARENGO_3_EMBEDDING_SCOPES, ...] | None = None
+    inferenceId: str | None = None
+
+    @property
+    def resolved_input_type(self) -> TWELVELABS_MARENGO_3_INPUT_TYPES:
+        return self.inputType or self.input_type or "text"
+
+    def timed_media_options(self) -> TwelveLabsMarengo3TimedMediaOptions:
+        return TIMED_MEDIA_OPTIONS.validate_python(
+            self.model_dump(include=TIMED_MEDIA_OPTION_FIELDS, exclude_none=True)
+        )
+
+
+def _s3_location(uri: str, bucket_owner: str | None) -> TwelveLabsS3Location:
+    if bucket_owner is None:
+        unowned: Final[TwelveLabsS3Location] = {"uri": uri}
+        return unowned
+    owned: Final[TwelveLabsS3Location] = {"uri": uri, "bucketOwner": bucket_owner}
+    return owned
+
+
+def _media_source(media: str, bucket_owner: str | None) -> TwelveLabsMediaSource:
+    if not media.startswith(S3_URI_PREFIX):
+        inline: Final[TwelveLabsMediaSource] = {"base64String": get_base64_str(media)}
+        return inline
+    remote: Final[TwelveLabsMediaSource] = {"s3Location": _s3_location(media, bucket_owner)}
+    return remote
+
+
+def _named_media_source(name: str, media: str, bucket_owner: str | None) -> TwelveLabsMarengo3NamedMediaSource:
+    named: Final[TwelveLabsMarengo3NamedMediaSource] = {
+        "name": name,
+        "mediaType": "image",
+        **_media_source(media, bucket_owner),
+    }
+    return named
+
+
+def _timed_media_input(media: str, params: Marengo3Params) -> TwelveLabsMarengo3TimedMediaInput:
+    timed: Final[TwelveLabsMarengo3TimedMediaInput] = {
+        "mediaSource": _media_source(media, params.bucketOwner),
+        **params.timed_media_options(),
+    }
+    return timed
+
+
+def _validated_params(inference_params: Mapping[str, object]) -> Marengo3Params:
+    try:
+        return Marengo3Params.model_validate(inference_params)
+    except ValidationError as error:
+        raise BedrockError(status_code=400, message=f"Invalid Marengo 3.0 parameters: {error}") from error
+
+
+def _require(value: str | None, input_type: str, param_name: str) -> str:
+    if value is None:
+        raise BedrockError(status_code=400, message=f"Input type '{input_type}' requires the '{param_name}' parameter")
+    return value
+
+
+def _require_media_sources(value: Mapping[str, str] | None) -> Mapping[str, str]:
+    if not value:
+        raise BedrockError(
+            status_code=400,
+            message="Input type 'multi_input' requires a non-empty 'media_sources' mapping of name to media",
+        )
+    return value
+
+
+def _request_base(inference_id: str | None) -> TwelveLabsMarengo3RequestBase:
+    if inference_id is None:
+        anonymous: Final[TwelveLabsMarengo3RequestBase] = {}
+        return anonymous
+    identified: Final[TwelveLabsMarengo3RequestBase] = {"inferenceId": inference_id}
+    return identified
+
+
+def build_marengo_3_request(input: str, inference_params: Mapping[str, object]) -> TwelveLabsMarengo3EmbeddingRequest:
+    params: Final = _validated_params(inference_params)
+    base: Final = _request_base(params.inferenceId)
+    input_type: Final = params.resolved_input_type
+    match input_type:
+        case "text":
+            text_request: Final[TwelveLabsMarengo3TextRequest] = {
+                **base,
+                "inputType": "text",
+                "text": {"inputText": input},
+            }
+            return text_request
+        case "image":
+            image_request: Final[TwelveLabsMarengo3ImageRequest] = {
+                **base,
+                "inputType": "image",
+                "image": {"mediaSource": _media_source(input, params.bucketOwner)},
+            }
+            return image_request
+        case "video":
+            video_request: Final[TwelveLabsMarengo3VideoRequest] = {
+                **base,
+                "inputType": "video",
+                "video": _timed_media_input(input, params),
+            }
+            return video_request
+        case "audio":
+            audio_request: Final[TwelveLabsMarengo3AudioRequest] = {
+                **base,
+                "inputType": "audio",
+                "audio": _timed_media_input(input, params),
+            }
+            return audio_request
+        case "text_image":
+            text_image_request: Final[TwelveLabsMarengo3TextImageRequest] = {
+                **base,
+                "inputType": "text_image",
+                "text_image": {
+                    "inputText": input,
+                    "mediaSource": _media_source(
+                        _require(params.media_source, input_type, "media_source"), params.bucketOwner
+                    ),
+                },
+            }
+            return text_image_request
+        case "multi_input":
+            media_sources: Final = tuple(
+                _named_media_source(name, media, params.bucketOwner)
+                for name, media in _require_media_sources(params.media_sources).items()
+            )
+            multi_input_request: Final[TwelveLabsMarengo3MultiInputRequest] = {
+                **base,
+                "inputType": "multi_input",
+                "multi_input": {"inputText": input, "mediaSources": media_sources}
+                if input
+                else {"mediaSources": media_sources},
+            }
+            return multi_input_request
+        case _:
+            assert_never(input_type)
diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
index a39c59b0efd..79b5825d2eb 100644
--- a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
+++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
@@ -4,13 +4,19 @@ Transformation logic from OpenAI /v1/embeddings format to Bedrock TwelveLabs Mar
 Why separate file? Make it easy to see how transformation works
 
 Docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-marengo.html
+Marengo 3.0 docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-marengo-3.html
 """
 
 from typing import Final, cast
 
+from litellm.llms.bedrock.embed.twelvelabs_marengo_3_transformation import (
+    build_marengo_3_request,
+    is_marengo_3_model,
+)
 from litellm.types.llms.bedrock import (
     TWELVELABS_EMBEDDING_INPUT_TYPES,
     TwelveLabsAsyncInvokeRequest,
+    TwelveLabsMarengo3EmbeddingRequest,
     TwelveLabsMarengoEmbeddingRequest,
     TwelveLabsOutputDataConfig,
     TwelveLabsS3Location,
@@ -26,10 +32,13 @@ class TwelveLabsMarengoEmbeddingConfig:
     Supports text, image, video, and audio inputs.
     - InvokeModel: text and image inputs
     - StartAsyncInvoke: video, audio, image, and text inputs
+
+    Marengo 3.0 (model ids containing "marengo-embed-3") nests the input under a key named after inputType and
+    adds the text_image and multi_input input types; that payload is built by build_marengo_3_request.
     """
 
-    def __init__(self) -> None:
-        pass
+    def __init__(self, model: str | None = None) -> None:
+        self.is_marengo_3: Final = is_marengo_3_model(model)
 
     def get_supported_openai_params(self) -> list[str]:
         return [
@@ -41,13 +50,20 @@ class TwelveLabsMarengoEmbeddingConfig:
             "useFixedLengthSec",
             "minClipSec",
             "input_type",
+            "endSec",
+            "segmentation",
+            "embeddingType",
+            "embeddingScope",
+            "inferenceId",
+            "media_source",
+            "media_sources",
         ]
 
     def map_openai_params(self, non_default_params: dict, optional_params: dict) -> dict:
         for k, v in non_default_params.items():
             if k == "encoding_format":
                 # TwelveLabs doesn't have encoding_format, but we can map it to embeddingOption
-                if v == "float":
+                if v == "float" and not self.is_marengo_3:
                     optional_params["embeddingOption"] = ["visual-text", "visual-image"]
             elif k == "textTruncate":
                 optional_params["textTruncate"] = v
@@ -56,7 +72,19 @@ class TwelveLabsMarengoEmbeddingConfig:
             elif k == "input_type":
                 # Map input_type to inputType for Bedrock
                 optional_params["inputType"] = v
-            elif k in ["startSec", "lengthSec", "useFixedLengthSec", "minClipSec"]:
+            elif k in (
+                "startSec",
+                "lengthSec",
+                "useFixedLengthSec",
+                "minClipSec",
+                "endSec",
+                "segmentation",
+                "embeddingType",
+                "embeddingScope",
+                "inferenceId",
+                "media_source",
+                "media_sources",
+            ):
                 optional_params[k] = v
         return optional_params
 
@@ -77,7 +105,7 @@ class TwelveLabsMarengoEmbeddingConfig:
         async_invoke_route: bool = False,
         model_id: str | None = None,
         output_s3_uri: str | None = None,
-    ) -> TwelveLabsMarengoEmbeddingRequest | TwelveLabsAsyncInvokeRequest:
+    ) -> TwelveLabsMarengoEmbeddingRequest | TwelveLabsMarengo3EmbeddingRequest | TwelveLabsAsyncInvokeRequest:
         """
         Transform OpenAI-style input to TwelveLabs Marengo format/async-invoke format.
 
@@ -87,20 +115,27 @@ class TwelveLabsMarengoEmbeddingConfig:
         - Video inputs (async-invoke only)
         - Audio inputs (async-invoke only)
         - S3 URLs for all media types (async-invoke only)
+        - Marengo 3.0 only: text_image and multi_input inputs (nested payload)
         """
-        # Get input_type or default to "text"
         input_type: Final = cast(
             TWELVELABS_EMBEDDING_INPUT_TYPES,
             inference_params.get("inputType") or inference_params.get("input_type") or "text",
         )
 
-        # Validate that async-invoke is used for video/audio
         if input_type in ["video", "audio"] and not async_invoke_route:
             raise ValueError(
                 f"Input type '{input_type}' requires async_invoke route. "
                 f"Use model format: 'bedrock/async_invoke/model_id'"
             )
 
+        if self.is_marengo_3:
+            marengo_3_request: Final = build_marengo_3_request(input=input, inference_params=inference_params)
+            if async_invoke_route and model_id:
+                return self._wrap_async_invoke_request(
+                    model_input=marengo_3_request, model_id=model_id, output_s3_uri=output_s3_uri
+                )
+            return marengo_3_request
+
         transformed_request: Final[TwelveLabsMarengoEmbeddingRequest] = {"inputType": input_type}
 
         if input_type == "text":
@@ -154,7 +189,7 @@ class TwelveLabsMarengoEmbeddingConfig:
 
     def _wrap_async_invoke_request(
         self,
-        model_input: TwelveLabsMarengoEmbeddingRequest,
+        model_input: TwelveLabsMarengoEmbeddingRequest | TwelveLabsMarengo3EmbeddingRequest,
         model_id: str,
         output_s3_uri: str | None = None,
     ) -> TwelveLabsAsyncInvokeRequest:
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index b1ffc1583e4..cc75354a495 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -690,6 +690,45 @@
         "supports_embedding_image_input": true,
         "supports_image_input": true
     },
+    "twelvelabs.marengo-embed-3-0-v1:0": {
+        "input_cost_per_token": 7e-05,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 500,
+        "max_tokens": 500,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 512,
+        "supports_embedding_image_input": true,
+        "supports_image_input": true
+    },
+    "us.twelvelabs.marengo-embed-3-0-v1:0": {
+        "input_cost_per_token": 7e-05,
+        "input_cost_per_video_per_second": 0.0007,
+        "input_cost_per_audio_per_second": 0.00014,
+        "input_cost_per_image": 0.0001,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 500,
+        "max_tokens": 500,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 512,
+        "supports_embedding_image_input": true,
+        "supports_image_input": true
+    },
+    "eu.twelvelabs.marengo-embed-3-0-v1:0": {
+        "input_cost_per_token": 7e-05,
+        "input_cost_per_video_per_second": 0.0007,
+        "input_cost_per_audio_per_second": 0.00014,
+        "input_cost_per_image": 0.0001,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 500,
+        "max_tokens": 500,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 512,
+        "supports_embedding_image_input": true,
+        "supports_image_input": true
+    },
     "twelvelabs.pegasus-1-2-v1:0": {
         "input_cost_per_video_per_second": 0.00049,
         "output_cost_per_token": 7.5e-06,
diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py
index bed0ba3dc08..9f93886a9c6 100644
--- a/litellm/types/llms/bedrock.py
+++ b/litellm/types/llms/bedrock.py
@@ -1,7 +1,7 @@
 import json
 from collections.abc import Sequence
 from enum import Enum
-from typing import TYPE_CHECKING, Any, Final, Literal
+from typing import TYPE_CHECKING, Any, Final, Literal, TypeAlias
 
 from typing_extensions import ReadOnly, Required, TypedDict, override
 
@@ -557,7 +557,7 @@ class AmazonTitanMultimodalEmbeddingResponse(TypedDict):
     message: str  # Specifies any errors that occur during generation.
 
 
-# TwelveLabs Marengo Embed 2.7 types
+# TwelveLabs Marengo Embed types
 TWELVELABS_EMBEDDING_INPUT_TYPES = Literal["text", "image", "video", "audio"]
 TWELVELABS_EMBEDDING_OPTIONS = Literal["visual-text", "visual-image", "audio"]
 
@@ -591,6 +591,113 @@ class TwelveLabsMarengoEmbeddingResponse(TypedDict):
     endSec: float
 
 
+TWELVELABS_MARENGO_3_INPUT_TYPES: TypeAlias = Literal["text", "image", "video", "audio", "text_image", "multi_input"]
+TWELVELABS_MARENGO_3_EMBEDDING_OPTIONS: TypeAlias = Literal["visual", "audio", "transcription"]
+TWELVELABS_MARENGO_3_EMBEDDING_TYPES: TypeAlias = Literal["separate_embedding", "fused_embedding"]
+TWELVELABS_MARENGO_3_EMBEDDING_SCOPES: TypeAlias = Literal["clip", "asset"]
+
+
+class TwelveLabsMarengo3FixedSegmentationConfig(TypedDict):
+    durationSec: ReadOnly[int]
+
+
+class TwelveLabsMarengo3FixedSegmentation(TypedDict):
+    method: ReadOnly[Literal["fixed"]]
+    fixed: ReadOnly[TwelveLabsMarengo3FixedSegmentationConfig]
+
+
+class TwelveLabsMarengo3DynamicSegmentationConfig(TypedDict):
+    minDurationSec: ReadOnly[int]
+
+
+class TwelveLabsMarengo3DynamicSegmentation(TypedDict):
+    method: ReadOnly[Literal["dynamic"]]
+    dynamic: ReadOnly[TwelveLabsMarengo3DynamicSegmentationConfig]
+
+
+TwelveLabsMarengo3Segmentation: TypeAlias = TwelveLabsMarengo3FixedSegmentation | TwelveLabsMarengo3DynamicSegmentation
+
+
+class TwelveLabsMarengo3TextInput(TypedDict):
+    inputText: ReadOnly[str]
+
+
+class TwelveLabsMarengo3ImageInput(TypedDict):
+    mediaSource: ReadOnly[TwelveLabsMediaSource]
+
+
+class TwelveLabsMarengo3TimedMediaOptions(TypedDict, total=False):
+    startSec: ReadOnly[float]
+    endSec: ReadOnly[float]
+    segmentation: ReadOnly[TwelveLabsMarengo3Segmentation]
+    embeddingOption: ReadOnly[Sequence[TWELVELABS_MARENGO_3_EMBEDDING_OPTIONS]]
+    embeddingType: ReadOnly[Sequence[TWELVELABS_MARENGO_3_EMBEDDING_TYPES]]
+    embeddingScope: ReadOnly[Sequence[TWELVELABS_MARENGO_3_EMBEDDING_SCOPES]]
+
+
+class TwelveLabsMarengo3TimedMediaInput(TwelveLabsMarengo3TimedMediaOptions):
+    mediaSource: Required[ReadOnly[TwelveLabsMediaSource]]
+
+
+class TwelveLabsMarengo3TextImageInput(TypedDict):
+    inputText: ReadOnly[str]
+    mediaSource: ReadOnly[TwelveLabsMediaSource]
+
+
+class TwelveLabsMarengo3NamedMediaSource(TwelveLabsMediaSource):
+    name: Required[ReadOnly[str]]
+    mediaType: Required[ReadOnly[Literal["image"]]]
+
+
+class TwelveLabsMarengo3MultiInput(TypedDict, total=False):
+    inputText: ReadOnly[str]
+    mediaSources: Required[ReadOnly[Sequence[TwelveLabsMarengo3NamedMediaSource]]]
+
+
+class TwelveLabsMarengo3RequestBase(TypedDict, total=False):
+    inferenceId: ReadOnly[str]
+
+
+class TwelveLabsMarengo3TextRequest(TwelveLabsMarengo3RequestBase):
+    inputType: ReadOnly[Literal["text"]]
+    text: ReadOnly[TwelveLabsMarengo3TextInput]
+
+
+class TwelveLabsMarengo3ImageRequest(TwelveLabsMarengo3RequestBase):
+    inputType: ReadOnly[Literal["image"]]
+    image: ReadOnly[TwelveLabsMarengo3ImageInput]
+
+
+class TwelveLabsMarengo3VideoRequest(TwelveLabsMarengo3RequestBase):
+    inputType: ReadOnly[Literal["video"]]
+    video: ReadOnly[TwelveLabsMarengo3TimedMediaInput]
+
+
+class TwelveLabsMarengo3AudioRequest(TwelveLabsMarengo3RequestBase):
+    inputType: ReadOnly[Literal["audio"]]
+    audio: ReadOnly[TwelveLabsMarengo3TimedMediaInput]
+
+
+class TwelveLabsMarengo3TextImageRequest(TwelveLabsMarengo3RequestBase):
+    inputType: ReadOnly[Literal["text_image"]]
+    text_image: ReadOnly[TwelveLabsMarengo3TextImageInput]
+
+
+class TwelveLabsMarengo3MultiInputRequest(TwelveLabsMarengo3RequestBase):
+    inputType: ReadOnly[Literal["multi_input"]]
+    multi_input: ReadOnly[TwelveLabsMarengo3MultiInput]
+
+
+TwelveLabsMarengo3EmbeddingRequest: TypeAlias = (
+    TwelveLabsMarengo3TextRequest
+    | TwelveLabsMarengo3ImageRequest
+    | TwelveLabsMarengo3VideoRequest
+    | TwelveLabsMarengo3AudioRequest
+    | TwelveLabsMarengo3TextImageRequest
+    | TwelveLabsMarengo3MultiInputRequest
+)
+
+
 class TwelveLabsS3OutputDataConfig(TypedDict):
     s3Uri: str
 
@@ -601,7 +708,7 @@ class TwelveLabsOutputDataConfig(TypedDict):
 
 class TwelveLabsAsyncInvokeRequest(TypedDict):
     modelId: str
-    modelInput: TwelveLabsMarengoEmbeddingRequest
+    modelInput: ReadOnly[TwelveLabsMarengoEmbeddingRequest | TwelveLabsMarengo3EmbeddingRequest]
     outputDataConfig: TwelveLabsOutputDataConfig
 
 
diff --git a/litellm/utils.py b/litellm/utils.py
index d0e11bc9551..b98aa821ff3 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -3623,7 +3623,7 @@ def get_optional_params_embeddings(
         elif "cohere.embed" in model:
             object = litellm.BedrockCohereEmbeddingConfig()
         elif "twelvelabs" in model or "marengo" in model:
-            object = litellm.TwelveLabsMarengoEmbeddingConfig()
+            object = litellm.TwelveLabsMarengoEmbeddingConfig(model=model)
         elif "nova" in model.lower():
             object = litellm.AmazonNovaEmbeddingConfig()
         else:  # unmapped model
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index b1ffc1583e4..cc75354a495 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -690,6 +690,45 @@
         "supports_embedding_image_input": true,
         "supports_image_input": true
     },
+    "twelvelabs.marengo-embed-3-0-v1:0": {
+        "input_cost_per_token": 7e-05,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 500,
+        "max_tokens": 500,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 512,
+        "supports_embedding_image_input": true,
+        "supports_image_input": true
+    },
+    "us.twelvelabs.marengo-embed-3-0-v1:0": {
+        "input_cost_per_token": 7e-05,
+        "input_cost_per_video_per_second": 0.0007,
+        "input_cost_per_audio_per_second": 0.00014,
+        "input_cost_per_image": 0.0001,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 500,
+        "max_tokens": 500,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 512,
+        "supports_embedding_image_input": true,
+        "supports_image_input": true
+    },
+    "eu.twelvelabs.marengo-embed-3-0-v1:0": {
+        "input_cost_per_token": 7e-05,
+        "input_cost_per_video_per_second": 0.0007,
+        "input_cost_per_audio_per_second": 0.00014,
+        "input_cost_per_image": 0.0001,
+        "litellm_provider": "bedrock",
+        "max_input_tokens": 500,
+        "max_tokens": 500,
+        "mode": "embedding",
+        "output_cost_per_token": 0.0,
+        "output_vector_size": 512,
+        "supports_embedding_image_input": true,
+        "supports_image_input": true
+    },
     "twelvelabs.pegasus-1-2-v1:0": {
         "input_cost_per_video_per_second": 0.00049,
         "output_cost_per_token": 7.5e-06,
diff --git a/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py b/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py
index 74a55cc1ef2..00f5145269a 100644
--- a/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py
+++ b/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py
@@ -184,6 +184,44 @@ class TestBedrockAsyncInvokeEmbedding:
             request_url = mock_post.call_args.kwargs.get("url", "")
             assert "/async-invoke" in request_url
 
+    def test_async_invoke_marengo_3_wraps_the_nested_payload_with_the_base_model_id(self):
+        client = HTTPHandler()
+
+        with patch.object(client, "post") as mock_post:
+            mock_response = Mock()
+            mock_response.status_code = 200
+            mock_response.text = json.dumps(async_invoke_response)
+            mock_response.json = lambda: json.loads(mock_response.text)
+            mock_post.return_value = mock_response
+
+            response = litellm.embedding(
+                model="bedrock/async_invoke/twelvelabs.marengo-embed-3-0-v1:0",
+                input="s3://test-bucket/clip.mp4",
+                client=client,
+                aws_region_name="us-east-1",
+                aws_bedrock_runtime_endpoint="https://bedrock-runtime.us-east-1.amazonaws.com",
+                api_key="test-bearer-token-12345",
+                input_type="video",
+                embeddingOption=["visual", "audio"],
+                segmentation={"method": "fixed", "fixed": {"durationSec": 6}},
+                output_s3_uri="s3://test-bucket/async-invoke-output/",
+            )
+
+        assert response._hidden_params._invocation_arn == async_invoke_response["invocationArn"]
+        assert mock_post.call_args.kwargs["url"].endswith("/async-invoke")
+        assert json.loads(mock_post.call_args.kwargs["data"]) == {
+            "modelId": "twelvelabs.marengo-embed-3-0-v1:0",
+            "modelInput": {
+                "inputType": "video",
+                "video": {
+                    "mediaSource": {"s3Location": {"uri": "s3://test-bucket/clip.mp4"}},
+                    "segmentation": {"method": "fixed", "fixed": {"durationSec": 6}},
+                    "embeddingOption": ["visual", "audio"],
+                },
+            },
+            "outputDataConfig": {"s3OutputDataConfig": {"s3Uri": "s3://test-bucket/async-invoke-output/"}},
+        }
+
     @pytest.mark.asyncio
     async def test_async_invoke_twelvelabs_embedding_async_with_mock(self):
         """Test async invoke embedding with async calls."""
diff --git a/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py b/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
index 50f8bbcf584..b37e991b0b2 100644
--- a/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
+++ b/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
@@ -1059,3 +1059,132 @@ def test_bedrock_embedding_bearer_token_never_runs_the_sigv4_credential_chain(mo
 
     assert response.data[0]["embedding"] == titan_embedding_response["embedding"]
     assert mock_post.call_args.kwargs["headers"]["Authorization"] == "Bearer env-bearer-token-12345"
+
+
+marengo_3_embedding_response = {"data": [{"embedding": [0.01 * i for i in range(512)]}]}
+MARENGO_3_DUCK = "data:image/png;base64,ZHVjaw=="
+
+
+@pytest.mark.parametrize(
+    "model,kwargs,expected_body",
+    [
+        (
+            "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0",
+            {"input_type": "text"},
+            {"inputType": "text", "text": {"inputText": "a duck on water"}},
+        ),
+        (
+            "bedrock/twelvelabs.marengo-embed-3-0-v1:0",
+            {"input_type": "text"},
+            {"inputType": "text", "text": {"inputText": "a duck on water"}},
+        ),
+        (
+            "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0",
+            {"input_type": "text_image", "media_source": MARENGO_3_DUCK},
+            {
+                "inputType": "text_image",
+                "text_image": {"inputText": "a duck on water", "mediaSource": {"base64String": "ZHVjaw=="}},
+            },
+        ),
+        (
+            "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0",
+            {"input_type": "multi_input", "media_sources": {"bird": MARENGO_3_DUCK}},
+            {
+                "inputType": "multi_input",
+                "multi_input": {
+                    "inputText": "a duck on water",
+                    "mediaSources": [{"name": "bird", "mediaType": "image", "base64String": "ZHVjaw=="}],
+                },
+            },
+        ),
+    ],
+)
+def test_marengo_3_embedding_sends_the_nested_payload_and_parses_512_dims(model, kwargs, expected_body):
+    client = HTTPHandler()
+
+    with patch.object(client, "post") as mock_post:
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.text = json.dumps(marengo_3_embedding_response)
+        mock_response.json = lambda: json.loads(mock_response.text)
+        mock_post.return_value = mock_response
+
+        response = litellm.embedding(
+            model=model,
+            input="a duck on water",
+            client=client,
+            aws_region_name="us-east-1",
+            api_key="test-bearer-token-12345",
+            **kwargs,
+        )
+
+    assert json.loads(mock_post.call_args.kwargs["data"]) == expected_body
+    assert mock_post.call_args.kwargs["url"].endswith(f"/model/{model.removeprefix('bedrock/').replace(':', '%3A')}/invoke")
+    assert len(response.data[0]["embedding"]) == 512
+    assert response.data[0]["embedding"][:2] == [0.0, 0.01]
+    assert response.usage.prompt_tokens == 128
+
+
+def test_marengo_3_image_embedding_sends_the_media_under_the_image_key():
+    client = HTTPHandler()
+
+    with patch.object(client, "post") as mock_post:
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.text = json.dumps(marengo_3_embedding_response)
+        mock_response.json = lambda: json.loads(mock_response.text)
+        mock_post.return_value = mock_response
+
+        response = litellm.embedding(
+            model="bedrock/us.twelvelabs.marengo-embed-3-0-v1:0",
+            input=MARENGO_3_DUCK,
+            client=client,
+            aws_region_name="us-east-1",
+            api_key="test-bearer-token-12345",
+            input_type="image",
+        )
+
+    assert json.loads(mock_post.call_args.kwargs["data"]) == {
+        "inputType": "image",
+        "image": {"mediaSource": {"base64String": "ZHVjaw=="}},
+    }
+    assert len(response.data[0]["embedding"]) == 512
+    assert response.data[0]["embedding"][:2] == [0.0, 0.01]
+
+
+def test_marengo_2_7_embedding_keeps_the_flat_payload():
+    client = HTTPHandler()
+
+    with patch.object(client, "post") as mock_post:
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.text = json.dumps(twelvelabs_embedding_response)
+        mock_response.json = lambda: json.loads(mock_response.text)
+        mock_post.return_value = mock_response
+
+        response = litellm.embedding(
+            model="bedrock/us.twelvelabs.marengo-embed-2-7-v1:0",
+            input="a duck on water",
+            client=client,
+            aws_region_name="us-east-1",
+            api_key="test-bearer-token-12345",
+            input_type="text",
+        )
+
+    assert json.loads(mock_post.call_args.kwargs["data"]) == {
+        "inputType": "text",
+        "inputText": "a duck on water",
+        "textTruncate": "end",
+    }
+    assert response.data[0]["embedding"] == [0.1, 0.2, 0.3]
+
+
+def test_marengo_3_text_image_without_media_source_is_a_bad_request():
+    with pytest.raises(litellm.BadRequestError, match=r"text_image.*media_source"):
+        litellm.embedding(
+            model="bedrock/us.twelvelabs.marengo-embed-3-0-v1:0",
+            input="a duck on water",
+            aws_region_name="us-east-1",
+            api_key="test-bearer-token-12345",
+            input_type="text_image",
+        )
diff --git a/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
new file mode 100644
index 00000000000..0bf86352a5e
--- /dev/null
+++ b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
@@ -0,0 +1,268 @@
+import json
+
+import pytest
+
+from litellm.llms.bedrock.common_utils import BedrockError
+from litellm.llms.bedrock.embed.twelvelabs_marengo_3_transformation import (
+    build_marengo_3_request,
+    is_marengo_3_model,
+)
+from litellm.llms.bedrock.embed.twelvelabs_marengo_transformation import (
+    TwelveLabsMarengoEmbeddingConfig,
+)
+
+MARENGO_3_BASE = "twelvelabs.marengo-embed-3-0-v1:0"
+MARENGO_3_US = "us.twelvelabs.marengo-embed-3-0-v1:0"
+MARENGO_27_US = "us.twelvelabs.marengo-embed-2-7-v1:0"
+DUCK_DATA_URL = "data:image/png;base64,ZHVjaw=="
+OUTPUT_S3_URI = "s3://out-bucket/marengo/"
+
+
+@pytest.mark.parametrize(
+    "model,expected",
+    [
+        (MARENGO_3_BASE, True),
+        (MARENGO_3_US, True),
+        ("eu.twelvelabs.marengo-embed-3-0-v1:0", True),
+        ("async_invoke/twelvelabs.marengo-embed-3-0-v1:0", True),
+        (MARENGO_27_US, False),
+        ("twelvelabs.marengo-embed-2-7-v1:0", False),
+        (None, False),
+    ],
+)
+def test_is_marengo_3_model(model, expected):
+    assert is_marengo_3_model(model) is expected
+
+
+def wire(request: object) -> object:
+    return json.loads(json.dumps(request))
+
+
+def test_text_request_nests_input_text_under_text():
+    assert build_marengo_3_request("a dog on the beach", {"input_type": "text"}) == {
+        "inputType": "text",
+        "text": {"inputText": "a dog on the beach"},
+    }
+
+
+def test_missing_input_type_defaults_to_text():
+    assert build_marengo_3_request("hello", {})["inputType"] == "text"
+
+
+def test_camel_case_input_type_wins_over_snake_case():
+    request = build_marengo_3_request(DUCK_DATA_URL, {"inputType": "image", "input_type": "text"})
+    assert request["inputType"] == "image"
+
+
+def test_image_request_strips_data_url_prefix():
+    assert build_marengo_3_request(DUCK_DATA_URL, {"input_type": "image"}) == {
+        "inputType": "image",
+        "image": {"mediaSource": {"base64String": "ZHVjaw=="}},
+    }
+
+
+def test_image_request_from_s3_carries_bucket_owner():
+    request = build_marengo_3_request("s3://media/duck.png", {"input_type": "image", "bucketOwner": "123456789012"})
+    assert request == {
+        "inputType": "image",
+        "image": {"mediaSource": {"s3Location": {"uri": "s3://media/duck.png", "bucketOwner": "123456789012"}}},
+    }
+
+
+def test_s3_media_without_bucket_owner_omits_the_key():
+    request = build_marengo_3_request("s3://media/duck.png", {"input_type": "image"})
+    assert request["image"]["mediaSource"] == {"s3Location": {"uri": "s3://media/duck.png"}}
+
+
+def test_text_image_request_pairs_text_with_media_source():
+    request = build_marengo_3_request(
+        "a duck", {"input_type": "text_image", "media_source": DUCK_DATA_URL, "output_s3_uri": OUTPUT_S3_URI}
+    )
+    assert request == {
+        "inputType": "text_image",
+        "text_image": {"inputText": "a duck", "mediaSource": {"base64String": "ZHVjaw=="}},
+    }
+
+
+def test_text_image_request_requires_media_source():
+    with pytest.raises(BedrockError, match=r"text_image.*media_source") as excinfo:
+        build_marengo_3_request("a duck", {"input_type": "text_image"})
+    assert excinfo.value.status_code == 400
+
+
+def test_multi_input_request_names_each_media_source():
+    request = build_marengo_3_request(
+        "a photo of <@bird> next to <@dog>",
+        {
+            "input_type": "multi_input",
+            "media_sources": {"bird": DUCK_DATA_URL, "dog": "s3://media/dog.png"},
+            "bucketOwner": "123456789012",
+        },
+    )
+    assert wire(request) == {
+        "inputType": "multi_input",
+        "multi_input": {
+            "inputText": "a photo of <@bird> next to <@dog>",
+            "mediaSources": [
+                {"name": "bird", "mediaType": "image", "base64String": "ZHVjaw=="},
+                {
+                    "name": "dog",
+                    "mediaType": "image",
+                    "s3Location": {"uri": "s3://media/dog.png", "bucketOwner": "123456789012"},
+                },
+            ],
+        },
+    }
+
+
+def test_multi_input_without_text_omits_input_text():
+    request = build_marengo_3_request("", {"input_type": "multi_input", "media_sources": {"bird": DUCK_DATA_URL}})
+    assert "inputText" not in request["multi_input"]
+    assert request["multi_input"]["mediaSources"][0]["name"] == "bird"
+
+
+@pytest.mark.parametrize("params", [{"input_type": "multi_input"}, {"input_type": "multi_input", "media_sources": {}}])
+def test_multi_input_request_requires_media_sources(params):
+    with pytest.raises(BedrockError, match=r"multi_input.*media_sources") as excinfo:
+        build_marengo_3_request("<@bird>", params)
+    assert excinfo.value.status_code == 400
+
+
+@pytest.mark.parametrize("input_type", ["video", "audio"])
+def test_timed_media_request_nests_every_option_under_the_media_key(input_type):
+    request = build_marengo_3_request(
+        "s3://media/clip.mp4",
+        {
+            "input_type": input_type,
+            "startSec": 2,
+            "endSec": 12.5,
+            "segmentation": {"method": "dynamic", "dynamic": {"minDurationSec": 4}},
+            "embeddingOption": ["visual", "audio"],
+            "embeddingType": ["fused_embedding"],
+            "embeddingScope": ["clip", "asset"],
+            "inferenceId": "req-42",
+        },
+    )
+    assert wire(request) == {
+        "inputType": input_type,
+        input_type: {
+            "mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4"}},
+            "startSec": 2.0,
+            "endSec": 12.5,
+            "segmentation": {"method": "dynamic", "dynamic": {"minDurationSec": 4}},
+            "embeddingOption": ["visual", "audio"],
+            "embeddingType": ["fused_embedding"],
+            "embeddingScope": ["clip", "asset"],
+        },
+        "inferenceId": "req-42",
+    }
+
+
+def test_timed_media_request_without_options_carries_only_the_media_source():
+    request = build_marengo_3_request("s3://media/clip.mp4", {"input_type": "video"})
+    assert request["video"] == {"mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4"}}}
+
+
+@pytest.mark.parametrize(
+    "params",
+    [
+        {"input_type": "clip"},
+        {"input_type": "video", "embeddingOption": ["visual-text"]},
+        {"input_type": "video", "segmentation": {"method": "fixed", "dynamic": {"minDurationSec": 4}}},
+        {"input_type": "multi_input", "media_sources": ["not", "a", "mapping"]},
+    ],
+)
+def test_invalid_marengo_3_params_are_rejected_before_the_request_is_sent(params):
+    with pytest.raises(BedrockError, match=r"Invalid Marengo 3\.0 parameters") as excinfo:
+        build_marengo_3_request("s3://media/clip.mp4", params)
+    assert excinfo.value.status_code == 400
+
+
+def test_config_sends_the_nested_payload_for_marengo_3_and_the_flat_one_for_2_7():
+    nested = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US)._transform_request(
+        input="hello", inference_params={"input_type": "text"}
+    )
+    flat = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_27_US)._transform_request(
+        input="hello", inference_params={"input_type": "text"}
+    )
+    assert nested == {"inputType": "text", "text": {"inputText": "hello"}}
+    assert flat == {"inputType": "text", "inputText": "hello", "textTruncate": "end"}
+
+
+def test_config_without_a_model_keeps_the_2_7_payload():
+    request = TwelveLabsMarengoEmbeddingConfig()._transform_request(input="hello", inference_params={})
+    assert request == {"inputType": "text", "inputText": "hello", "textTruncate": "end"}
+
+
+@pytest.mark.parametrize("input_type", ["video", "audio"])
+def test_marengo_3_video_and_audio_still_require_the_async_route(input_type):
+    with pytest.raises(ValueError, match=f"Input type '{input_type}' requires async_invoke route"):
+        TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_BASE)._transform_request(
+            input="s3://media/clip.mp4", inference_params={"input_type": input_type}
+        )
+
+
+def test_marengo_3_async_invoke_wraps_the_nested_payload_with_the_base_model_id():
+    request = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_BASE)._transform_request(
+        input="s3://media/clip.mp4",
+        inference_params={"input_type": "video", "embeddingOption": ["visual"], "output_s3_uri": OUTPUT_S3_URI},
+        async_invoke_route=True,
+        model_id="async_invoke%2Ftwelvelabs.marengo-embed-3-0-v1%3A0",
+        output_s3_uri=OUTPUT_S3_URI,
+    )
+    assert wire(request) == {
+        "modelId": MARENGO_3_BASE,
+        "modelInput": {
+            "inputType": "video",
+            "video": {"mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4"}}, "embeddingOption": ["visual"]},
+        },
+        "outputDataConfig": {"s3OutputDataConfig": {"s3Uri": OUTPUT_S3_URI}},
+    }
+
+
+def test_marengo_3_async_invoke_requires_an_output_s3_uri():
+    with pytest.raises(ValueError, match="output_s3_uri cannot be empty"):
+        TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_BASE)._transform_request(
+            input="hello",
+            inference_params={"input_type": "text"},
+            async_invoke_route=True,
+            model_id=MARENGO_3_BASE,
+            output_s3_uri="",
+        )
+
+
+def test_encoding_format_float_no_longer_injects_2_7_embedding_options_for_marengo_3():
+    marengo_3 = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US).map_openai_params(
+        non_default_params={"encoding_format": "float"}, optional_params={}
+    )
+    marengo_27 = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_27_US).map_openai_params(
+        non_default_params={"encoding_format": "float"}, optional_params={}
+    )
+    assert marengo_3 == {}
+    assert marengo_27 == {"embeddingOption": ["visual-text", "visual-image"]}
+
+
+def test_marengo_3_only_params_are_forwarded_by_map_openai_params():
+    mapped = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US).map_openai_params(
+        non_default_params={
+            "input_type": "text_image",
+            "media_source": DUCK_DATA_URL,
+            "media_sources": {"bird": DUCK_DATA_URL},
+            "endSec": 5,
+            "segmentation": {"method": "fixed", "fixed": {"durationSec": 6}},
+            "embeddingType": ["separate_embedding"],
+            "embeddingScope": ["clip"],
+            "inferenceId": "req-1",
+        },
+        optional_params={},
+    )
+    assert mapped == {
+        "inputType": "text_image",
+        "media_source": DUCK_DATA_URL,
+        "media_sources": {"bird": DUCK_DATA_URL},
+        "endSec": 5,
+        "segmentation": {"method": "fixed", "fixed": {"durationSec": 6}},
+        "embeddingType": ["separate_embedding"],
+        "embeddingScope": ["clip"],
+        "inferenceId": "req-1",
+    }
diff --git a/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py b/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py
new file mode 100644
index 00000000000..300dfeb5238
--- /dev/null
+++ b/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py
@@ -0,0 +1,88 @@
+import json
+from pathlib import Path
+
+import pytest
+
+import litellm
+from litellm.constants import bedrock_embedding_models
+from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+from litellm.types.utils import Usage
+
+REPO_ROOT = Path(__file__).parents[2]
+MAIN_PATH = REPO_ROOT / "model_prices_and_context_window.json"
+BACKUP_PATH = REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json"
+
+BASE_MODEL = "twelvelabs.marengo-embed-3-0-v1:0"
+PROFILE_MODELS = ("us.twelvelabs.marengo-embed-3-0-v1:0", "eu.twelvelabs.marengo-embed-3-0-v1:0")
+ALL_MODELS = (BASE_MODEL, *PROFILE_MODELS)
+
+TEXT_REQUEST_COST = 7e-05
+IMAGE_REQUEST_COST = 0.0001
+VIDEO_COST_PER_SECOND = 0.0007
+AUDIO_COST_PER_SECOND = 0.00014
+
+
+def _load(path):
+    with open(path) as f:
+        return json.load(f)
+
+
+@pytest.mark.parametrize("model", ALL_MODELS)
+def test_marengo_embed_3_specs(model):
+    info = _load(MAIN_PATH).get(model)
+    assert info is not None, f"{model} missing from model_prices_and_context_window.json"
+
+    assert info["litellm_provider"] == "bedrock"
+    assert info["mode"] == "embedding"
+    assert info["input_cost_per_token"] == TEXT_REQUEST_COST
+    assert info["output_cost_per_token"] == 0.0
+    assert info["max_input_tokens"] == 500
+    assert info["max_tokens"] == 500
+    assert info["output_vector_size"] == 512
+    assert info["supports_embedding_image_input"] is True
+    assert info["supports_image_input"] is True
+    assert "deprecation_date" not in info
+
+    routed_model, provider, _, _ = get_llm_provider(model=f"bedrock/{model}")
+    assert routed_model == model
+    assert provider == "bedrock"
+
+
+@pytest.mark.parametrize("model", PROFILE_MODELS)
+def test_marengo_embed_3_inference_profiles_price_image_video_and_audio(model):
+    info = _load(MAIN_PATH)[model]
+    assert info["input_cost_per_image"] == IMAGE_REQUEST_COST
+    assert info["input_cost_per_video_per_second"] == VIDEO_COST_PER_SECOND
+    assert info["input_cost_per_audio_per_second"] == AUDIO_COST_PER_SECOND
+
+
+@pytest.mark.parametrize("model", ALL_MODELS)
+def test_marengo_embed_3_is_visible_to_callers(model, local_model_cost_map):
+    info = litellm.get_model_info(model=model, custom_llm_provider="bedrock")
+    assert info["mode"] == "embedding"
+    assert info["output_vector_size"] == 512
+    assert info["max_input_tokens"] == 500
+
+
+@pytest.mark.parametrize("model", ALL_MODELS)
+def test_marengo_embed_3_text_request_is_billed(model, local_model_cost_map):
+    usage = Usage(prompt_tokens=128, completion_tokens=0, total_tokens=128)
+    prompt_cost, completion_cost = litellm.cost_per_token(
+        model=model, usage_object=usage, custom_llm_provider="bedrock"
+    )
+    assert prompt_cost == pytest.approx(128 * TEXT_REQUEST_COST)
+    assert completion_cost == 0.0
+
+
+def test_marengo_embed_3_is_a_known_bedrock_embedding_model():
+    assert BASE_MODEL in bedrock_embedding_models
+
+
+@pytest.mark.parametrize("model", ALL_MODELS)
+def test_backup_matches_main(model):
+    main_cost = _load(MAIN_PATH)
+    backup_cost = _load(BACKUP_PATH)
+
+    assert model in main_cost, f"{model} missing from model_prices_and_context_window.json"
+    assert model in backup_cost, f"{model} missing from model_prices_and_context_window_backup.json"
+    assert backup_cost[model] == main_cost[model], f"{model} differs between main and backup model cost maps"

From 6c1bba54c2c2d8e2b8c47673678eccdcda4f36a2 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:28:58 -0700
Subject: [PATCH 055/223] fix(ui): show a malformed generated_at stamp as-is on
 the Price Data Reload card

---
 .../src/components/price_data_reload.test.tsx       | 13 +++++++++++++
 .../src/components/price_data_reload.tsx            |  7 ++-----
 2 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
index a85211f498c..fde69675b72 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
@@ -75,6 +75,19 @@ describe("PriceDataReload", () => {
     expect(screen.getByText(new Date(provenance.loaded_at).toLocaleString())).toBeInTheDocument();
   });
 
+  it("shows a malformed generated_at stamp as-is instead of Invalid Date", async () => {
+    vi.mocked(getModelCostMapSource).mockResolvedValue({
+      ...remoteSource,
+      ...provenance,
+      generated_at: "yesterday-ish",
+    } as never);
+    render(<PriceDataReload accessToken="sk-test" />);
+
+    expect(await screen.findByText("Generated at:")).toBeInTheDocument();
+    expect(screen.getByText("yesterday-ish")).toBeInTheDocument();
+    expect(screen.queryByText("Invalid Date")).not.toBeInTheDocument();
+  });
+
   it("hides the provenance rows when the loaded map carries no stamp", async () => {
     render(<PriceDataReload accessToken="sk-test" />);
 
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.tsx b/ui/litellm-dashboard/src/components/price_data_reload.tsx
index 3bb70072937..c152916f271 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.tsx
@@ -99,11 +99,8 @@ const isValidReloadInterval = (value: number) => {
 
 const formatDateTime = (dateTimeString: string | null) => {
   if (!dateTimeString) return "Never";
-  try {
-    return new Date(dateTimeString).toLocaleString();
-  } catch {
-    return dateTimeString;
-  }
+  const parsed = new Date(dateTimeString);
+  return Number.isNaN(parsed.getTime()) ? dateTimeString : parsed.toLocaleString();
 };
 
 const CostMapProvenanceRows: React.FC<{ sourceInfo: CostMapSourceInfo }> = ({ sourceInfo }) => (

From aa1c76bc3b601e8beef987101297a9e7f94f8560 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:28:59 -0700
Subject: [PATCH 056/223] test(cost_map): skip every reserved top-level key in
 the price map schema test

---
 tests/test_litellm/test_utils.py | 17 +++++++----------
 1 file changed, 7 insertions(+), 10 deletions(-)

diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index 8a56a84ade7..f6c9a4537a1 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -21,6 +21,7 @@ from litellm._logging import (
     verbose_logger,
 )
 from litellm.integrations.custom_logger import CustomLogger
+from litellm.litellm_core_utils.get_model_cost_map import RESERVED_TOP_LEVEL_KEYS
 from litellm.proxy.utils import is_valid_api_key
 from litellm.types.utils import (
     CallTypes,
@@ -1218,15 +1219,12 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
     with open(prod_json, "r") as model_prices_file:
         actual_json = json.load(model_prices_file)
     assert isinstance(actual_json, dict)
-    actual_json.pop(
-        "sample_spec", None
-    )  # remove the sample, whose schema is inconsistent with the real data
-    actual_json.pop(
-        "fallback_generalizations", None
-    )  # reserved meta key, not a model entry
+    model_entries: Final = {
+        key: value for key, value in actual_json.items() if key not in RESERVED_TOP_LEVEL_KEYS
+    }
 
     # Validate schema
-    validate(actual_json, INTENDED_SCHEMA)
+    validate(model_entries, INTENDED_SCHEMA)
 
     # Validate cost values
     # Define exceptions for models that are allowed to have costs > 1
@@ -1237,7 +1235,7 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
         "runwayml/seedance2",  # 4K output is 150 credits/second = $1.50/second
     ]
 
-    is_valid, violations = validate_model_cost_values(actual_json, exceptions)
+    is_valid, violations = validate_model_cost_values(model_entries, exceptions)
 
     if not is_valid:
         error_message = "Cost validation failed:\n" + "\n".join(violations)
@@ -1268,8 +1266,7 @@ def test_max_tokens_consistency():
     inconsistencies = []
 
     for model_name, config in models.items():
-        # Skip the sample_spec
-        if model_name == "sample_spec":
+        if model_name in RESERVED_TOP_LEVEL_KEYS:
             continue
 
         # Check if both max_tokens and max_output_tokens exist

From fb7d06da4b75f04ab6487e8dabb3ac0f0a54407a Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:45:53 -0700
Subject: [PATCH 057/223] test(budget_reservation): type the tiny-budget
 reservation helper

---
 .../proxy/spend_tracking/test_budget_reservation.py  | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py
index 9935dbceb7d..5e88268c283 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py
@@ -53,7 +53,7 @@ async def test_non_exempt_llm_route_still_reserves_budget():
 
 
 ANTHROPIC_MESSAGES: Final = [{"role": "user", "content": "hello!!!"}]
-COUNT_TOKENS_REQUESTS: Final = (
+COUNT_TOKENS_REQUESTS: Final[tuple[tuple[str, dict[str, object]], ...]] = (
     ("/v1/messages/count_tokens", {"model": "claude-sonnet-5", "messages": ANTHROPIC_MESSAGES}),
     ("/v1beta/models/gemini-3.8-flash:countTokens", {"contents": [{"role": "user", "parts": [{"text": "hello!!!"}]}]}),
 )
@@ -68,7 +68,7 @@ def spend_counter_cache(monkeypatch: pytest.MonkeyPatch) -> DualCache:
     return cache
 
 
-async def _reserve_for_tiny_budget_key(route: str, request_body: dict) -> dict | None:
+async def _reserve_for_tiny_budget_key(route: str, request_body: dict[str, object]) -> dict[str, object] | None:
     return await reserve_budget_for_request(
         request_body=request_body,
         route=route,
@@ -85,7 +85,7 @@ async def _reserve_for_tiny_budget_key(route: str, request_body: dict) -> dict |
 @pytest.mark.asyncio
 @pytest.mark.parametrize(("route", "request_body"), COUNT_TOKENS_REQUESTS)
 async def test_repeated_token_counting_never_touches_a_tiny_budget(
-    spend_counter_cache: DualCache, route: str, request_body: dict
+    spend_counter_cache: DualCache, route: str, request_body: dict[str, object]
 ):
     counter_key: Final = f"spend:key:{TINY_BUDGET_KEY_TOKEN}"
 
@@ -97,8 +97,10 @@ async def test_repeated_token_counting_never_touches_a_tiny_budget(
         "/v1/messages", {"model": "claude-sonnet-5", "max_tokens": 16, "messages": ANTHROPIC_MESSAGES}
     )
     assert completion is not None
-    assert completion["reserved_cost"] > 0
-    assert spend_counter_cache.in_memory_cache.get_cache(key=counter_key) == pytest.approx(completion["reserved_cost"])
+    reserved_cost: Final = completion["reserved_cost"]
+    assert isinstance(reserved_cost, float)
+    assert reserved_cost > 0
+    assert spend_counter_cache.in_memory_cache.get_cache(key=counter_key) == pytest.approx(reserved_cost)
 
 
 BEDROCK_SONNET: Final = "us.anthropic.claude-sonnet-4-6"

From 1d7e81cf5d3a29dd4731b3282cf0842aac854ea1 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:47:06 -0700
Subject: [PATCH 058/223] fix(streaming): guard empty choices and missing role
 when assembling stream chunks

---
 .../streaming_chunk_builder_utils.py          |  23 ++--
 .../test_streaming_chunk_builder_utils.py     | 129 +++++++-----------
 2 files changed, 66 insertions(+), 86 deletions(-)

diff --git a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
index 81955fe769e..cf9604a0fd5 100644
--- a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
+++ b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
@@ -24,6 +24,7 @@ from litellm.types.utils import (
     Choices,
     CompletionTokensDetails,
     CompletionTokensDetailsWrapper,
+    Delta,
     Function,
     FunctionCall,
     ModelResponse,
@@ -326,6 +327,18 @@ class ChunkProcessor:
                 return chunk_id
         return ""
 
+    @staticmethod
+    def _get_role_from_chunks(chunks: Sequence["_BaseChunk"]) -> str:
+        return ChunkProcessor._role_of_choice(next((c["choices"][0] for c in chunks if c.get("choices")), None))
+
+    @staticmethod
+    def _role_of_choice(choice: object) -> str:
+        match choice:
+            case StreamingChoices(delta=Delta(role=str() as role)) | {"delta": {"role": str() as role}} if role:
+                return role
+            case _:
+                return "assistant"
+
     @staticmethod
     def _get_model_from_chunks(chunks: Sequence["_BaseChunk"], first_chunk_model: str) -> str:
         """
@@ -353,15 +366,7 @@ class ChunkProcessor:
         model: Final = ChunkProcessor._get_model_from_chunks(chunks, first_chunk_model)
         system_fingerprint: Final = chunk.get("system_fingerprint", None)
 
-        # Fall back to None rather than `chunk`: if no chunk carries a non-empty
-        # `choices` array, indexing [0] on the first chunk raises IndexError.
-        first_chunk_with_choices = next((c for c in chunks if c.get("choices")), None)
-        role: str = "assistant"
-        if first_chunk_with_choices is not None:
-            _choices = first_chunk_with_choices["choices"]
-            if len(_choices) > 0:
-                # `delta` may be absent or omit `role` (e.g. content-only deltas).
-                role = _choices[0].get("delta", {}).get("role") or "assistant"
+        role: Final = ChunkProcessor._get_role_from_chunks(chunks)
         finish_reason = "stop"
         for chunk in chunks:
             if "choices" in chunk and len(chunk["choices"]) > 0:
diff --git a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
index 2d2451e73f7..626b8a63b20 100644
--- a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
+++ b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
@@ -1,4 +1,6 @@
 import json
+from collections.abc import Mapping, Sequence
+from typing import Final
 
 import pytest
 
@@ -1478,104 +1480,77 @@ def test_calculate_usage_fills_unknown_split_from_reasoning_estimate(
     assert usage.completion_tokens_details.text_tokens == expected_text_tokens
 
 
-def _empty_choices_chunk(**extra):
-    chunk = {
-        "id": "chatcmpl-empty-choices",
+def _openai_chunk(
+    choices: Sequence[Mapping[str, object]], usage: Mapping[str, int] | None = None
+) -> dict[str, object]:
+    base: Final = {
+        "id": "chatcmpl-lit6552",
         "object": "chat.completion.chunk",
         "created": 1,
-        "model": "claude-opus-4-8",
-        "choices": [],
+        "model": "gpt-5.4-mini",
+        "choices": list(choices),
     }
-    chunk.update(extra)
-    return chunk
+    return base if usage is None else {**base, "usage": dict(usage)}
 
 
 @pytest.mark.parametrize(
     "chunks",
     [
+        pytest.param([_openai_chunk(choices=[]), _openai_chunk(choices=[])], id="all_empty_choices_dicts"),
         pytest.param(
-            [_empty_choices_chunk(), _empty_choices_chunk()],
-            id="all_chunks_have_empty_choices",
-        ),
-        pytest.param(
-            [
-                _empty_choices_chunk(usage={"prompt_tokens": 10}),
-                _empty_choices_chunk(usage={"completion_tokens": 0}),
-            ],
-            id="usage_only_chunks",
+            [ModelResponseStream(model="gpt-5.4-mini", choices=[]) for _ in range(2)],
+            id="all_empty_choices_objects",
         ),
     ],
 )
-def test_build_base_response_handles_empty_choices(chunks):
-    """Empty `choices` arrays must not raise IndexError.
-
-    `next((c for c in chunks if c.get("choices")), chunk)` used to fall back to the
-    first chunk, whose `choices` may be `[]`, so `["choices"][0]` went out of range.
-    The resulting error is surfaced to the client mid-stream and the request never
-    reaches SpendLogs.
-    """
-    processor = ChunkProcessor(chunks=list(chunks))
-
-    response = processor.build_base_response(list(chunks))
+def test_stream_chunk_builder_survives_all_empty_choices(chunks: Sequence[object]) -> None:
+    response: Final = stream_chunk_builder(chunks=list(chunks))
 
+    assert response is not None
     assert response.choices[0].message.role == "assistant"
+    assert response.choices[0].finish_reason == "stop"
+
+
+def test_stream_chunk_builder_keeps_usage_from_usage_only_frames() -> None:
+    usage_frame: Final = _openai_chunk(
+        choices=[], usage={"prompt_tokens": 10, "completion_tokens": 0, "total_tokens": 10}
+    )
+
+    response: Final = stream_chunk_builder(chunks=[usage_frame])
+
+    assert response is not None
+    assert response.choices[0].message.role == "assistant"
+    assert response.usage.prompt_tokens == 10
+    assert response.usage.total_tokens == 10
 
 
 @pytest.mark.parametrize(
     "delta",
-    [
-        pytest.param({"content": "Hello"}, id="delta_without_role"),
-        pytest.param({}, id="delta_empty_dict"),
-    ],
+    [pytest.param({"content": "Hi"}, id="delta_without_role"), pytest.param({}, id="empty_delta")],
 )
-def test_build_base_response_handles_delta_without_role(delta):
-    """A `delta` that omits `role` must not raise KeyError."""
-    chunks = [
-        {
-            "id": "chatcmpl-no-role",
-            "object": "chat.completion.chunk",
-            "created": 1,
-            "model": "claude-opus-4-8",
-            "choices": [{"index": 0, "delta": delta, "finish_reason": None}],
-        }
+def test_stream_chunk_builder_defaults_role_when_delta_omits_it(delta: Mapping[str, str]) -> None:
+    chunks: Final = [
+        _openai_chunk(choices=[{"index": 0, "delta": dict(delta), "finish_reason": None}]),
+        _openai_chunk(choices=[{"index": 0, "delta": {"content": "!"}, "finish_reason": "stop"}]),
     ]
-    processor = ChunkProcessor(chunks=list(chunks))
 
-    response = processor.build_base_response(list(chunks))
-
-    assert response.choices[0].message.role == "assistant"
-
-
-def test_build_base_response_still_reads_role_and_finish_reason():
-    """Regression guard: well-formed chunks keep their role and finish_reason."""
-    chunks = [
-        _empty_choices_chunk(),
-        {
-            "id": "chatcmpl-normal",
-            "object": "chat.completion.chunk",
-            "created": 1,
-            "model": "claude-opus-4-8",
-            "choices": [
-                {
-                    "index": 0,
-                    "delta": {"role": "assistant", "content": "Hi"},
-                    "finish_reason": None,
-                }
-            ],
-        },
-        {
-            "id": "chatcmpl-normal",
-            "object": "chat.completion.chunk",
-            "created": 2,
-            "model": "claude-opus-4-8",
-            "choices": [
-                {"index": 0, "delta": {"content": "!"}, "finish_reason": "stop"}
-            ],
-        },
-    ]
-    processor = ChunkProcessor(chunks=list(chunks))
-
-    response = processor.build_base_response(list(chunks))
+    response: Final = stream_chunk_builder(chunks=chunks)
 
+    assert response is not None
     assert response.choices[0].message.role == "assistant"
+    assert response.choices[0].message.content == delta.get("content", "") + "!"
     assert response.choices[0].finish_reason == "stop"
+
+
+def test_stream_chunk_builder_reads_role_from_first_frame_with_choices() -> None:
+    chunks: Final = [
+        _openai_chunk(choices=[]),
+        _openai_chunk(choices=[{"index": 0, "delta": {"role": "user", "content": "Hi"}, "finish_reason": None}]),
+        _openai_chunk(choices=[{"index": 0, "delta": {}, "finish_reason": "stop"}]),
+    ]
+
+    response: Final = stream_chunk_builder(chunks=chunks)
+
+    assert response is not None
+    assert response.choices[0].message.role == "user"
+    assert response.choices[0].message.content == "Hi"

From 9041768fb43715dc8c28e5dc139c86adac2659ce Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:47:51 -0700
Subject: [PATCH 059/223] feat(cost_map): derive source_revision from the
 loaded bytes instead of a _metadata stamp

The revision an operator checks is now the git blob id of the exact bytes the process
loaded, the same id git rev-parse <commit>:model_prices_and_context_window.json prints,
so it is always present, never goes stale between bot writes, and needs no stamp in the
JSON that every PR touching the file would have to regenerate. The _metadata block, the
generated_at field, the schema and guard changes, and the bot stamping are dropped
---
 ...to_update_price_and_context_window_file.py |  27 +---
 ci_cd/cost_map_guard.py                       |   7 +-
 ci_cd/generate_model_prices_schema.py         |  19 +--
 .../litellm_core_utils/get_model_cost_map.py  |  98 ++++++-------
 ...odel_prices_and_context_window_backup.json |   4 -
 litellm/proxy/proxy_server.py                 |   2 +-
 model_prices_and_context_window.json          |   4 -
 model_prices_and_context_window.schema.json   |  20 +--
 scripts/sync_together_ai_models.py            |  23 +--
 .../test_get_model_cost_map.py                | 135 +++++++-----------
 .../test_routes_model_cost_map.py             |  24 ++--
 ...to_update_price_and_context_window_file.py |  54 -------
 tests/test_litellm/test_cost_map_guard.py     |  20 ---
 .../test_litellm/test_model_prices_schema.py  |  19 ---
 .../test_sync_together_ai_models.py           |  53 -------
 tests/test_litellm/test_utils.py              |  17 ++-
 .../src/components/price_data_reload.test.tsx |  15 +-
 .../src/components/price_data_reload.tsx      |   8 --
 ui/litellm-dashboard/src/lib/http/schema.d.ts |   2 +-
 19 files changed, 131 insertions(+), 420 deletions(-)
 delete mode 100644 tests/test_litellm/test_auto_update_price_and_context_window_file.py

diff --git a/.github/scripts/auto_update_price_and_context_window_file.py b/.github/scripts/auto_update_price_and_context_window_file.py
index a7a3194f262..461d8d347d9 100644
--- a/.github/scripts/auto_update_price_and_context_window_file.py
+++ b/.github/scripts/auto_update_price_and_context_window_file.py
@@ -1,9 +1,6 @@
 import asyncio
 import aiohttp
 import json
-import os
-import subprocess
-from datetime import datetime, timezone
 
 # Asynchronously fetch data from a given URL
 async def fetch_data(url):
@@ -34,28 +31,13 @@ def sync_local_data_with_remote(local_data, remote_data):
     for key in (set(remote_data) - set(local_data)):
         local_data[key] = remote_data[key]
 
-def utc_now_iso():
-    return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
-
-
-def source_revision():
-    from_env = os.environ.get("GITHUB_SHA")
-    if from_env:
-        return from_env
-    return subprocess.run(["git", "rev-parse", "HEAD"], check=True, capture_output=True, text=True).stdout.strip()
-
-
-def stamp_metadata(data, generated_at, revision):
-    return {**data, "_metadata": {"generated_at": generated_at, "source_revision": revision}}
-
-
 # Write data to the json file
 def write_to_file(file_path, data):
     try:
         # Open the file in write mode
         with open(file_path, "w") as file:
             # Dump the data as JSON into the file
-            file.write(json.dumps(data, indent=4) + "\n")
+            json.dump(data, file, indent=4)
         print("Values updated successfully.")
     except Exception as e:
         # Print an error message if writing to file fails
@@ -167,13 +149,8 @@ def main():
 
     # If both local and openrouter data are available, synchronize and save
     if local_data and all_remote_data:
-        before = json.dumps(local_data, sort_keys=True)
         sync_local_data_with_remote(local_data, all_remote_data)
-        changed = json.dumps(local_data, sort_keys=True) != before
-        write_to_file(
-            local_file_path,
-            stamp_metadata(local_data, utc_now_iso(), source_revision()) if changed else local_data,
-        )
+        write_to_file(local_file_path, local_data)
     else:
         print("Failed to fetch model data from either local file or URL.")
 
diff --git a/ci_cd/cost_map_guard.py b/ci_cd/cost_map_guard.py
index 351c06c74eb..50aa40ba220 100644
--- a/ci_cd/cost_map_guard.py
+++ b/ci_cd/cost_map_guard.py
@@ -2,8 +2,7 @@
 
 Every pull request gets the file checks: the three cost map files parse, the backup copy matches the root file,
 and the JSON schema is in sync and validates the map. Pull requests from the cost map sync bot (branches named
-litellm_cost_map_sync_*) additionally may only touch those three files and may only add or update models, plus
-restamp the _metadata provenance block.
+litellm_cost_map_sync_*) additionally may only touch those three files and may only add or update models.
 """
 
 from __future__ import annotations
@@ -16,7 +15,7 @@ from collections.abc import Sequence
 from dataclasses import dataclass
 from typing import Final
 
-from generate_model_prices_schema import BOT_LOCKED_ROOT_KEYS, build_schema, render, validation_errors
+from generate_model_prices_schema import SPECIAL_ROOT_KEYS, build_schema, render, validation_errors
 
 COST_MAP_PATH: Final = "model_prices_and_context_window.json"
 BACKUP_PATH: Final = "litellm/model_prices_and_context_window_backup.json"
@@ -103,7 +102,7 @@ def _bot_failures(base: Snapshot, head_map: CostMap, changed_files: Sequence[str
         *(f"bot PRs may not remove fields: {ref}" for ref in removed_fields),
         *(
             f"bot PRs may not change {key}"
-            for key in sorted(BOT_LOCKED_ROOT_KEYS)
+            for key in sorted(SPECIAL_ROOT_KEYS)
             if base_map.get(key) != head_map.get(key)
         ),
     )
diff --git a/ci_cd/generate_model_prices_schema.py b/ci_cd/generate_model_prices_schema.py
index 557afa50128..ab29b70bdd4 100644
--- a/ci_cd/generate_model_prices_schema.py
+++ b/ci_cd/generate_model_prices_schema.py
@@ -11,9 +11,7 @@ REPO_ROOT = Path(__file__).parent.parent
 PRICES_PATH = REPO_ROOT / "model_prices_and_context_window.json"
 SCHEMA_PATH = REPO_ROOT / "model_prices_and_context_window.schema.json"
 
-METADATA_KEY = "_metadata"
-SPECIAL_ROOT_KEYS = frozenset({"sample_spec", "fallback_generalizations", METADATA_KEY})
-BOT_LOCKED_ROOT_KEYS = SPECIAL_ROOT_KEYS - {METADATA_KEY}
+SPECIAL_ROOT_KEYS = frozenset({"sample_spec", "fallback_generalizations"})
 
 JsonSchema = dict
 
@@ -273,26 +271,13 @@ def build_schema(prices: dict) -> JsonSchema:
         "description": (
             "Schema for LiteLLM's model price and context window registry "
             "(https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json). "
-            "Every top-level key except '_metadata', 'sample_spec', and 'fallback_generalizations' is a model id, "
+            "Every top-level key except 'sample_spec' and 'fallback_generalizations' is a model id, "
             "optionally prefixed with its provider (e.g. 'azure/gpt-5.4'), mapping to a model entry. "
             "All costs are USD per unit. New optional fields are added regularly, so consumers should "
             "ignore unknown fields rather than reject them."
         ),
         "type": "object",
         "properties": {
-            METADATA_KEY: {
-                "type": "object",
-                "description": (
-                    "Provenance of this file: when an automated sync last regenerated it and the commit it "
-                    "ran against. Human edits leave it untouched; not a model entry."
-                ),
-                "properties": {
-                    "generated_at": {"type": "string", "format": "date-time"},
-                    "source_revision": STRING,
-                },
-                "required": ["generated_at", "source_revision"],
-                "additionalProperties": False,
-            },
             "sample_spec": {
                 "type": "object",
                 "description": (
diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index a538e7cb330..2bdfbc66088 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -9,18 +9,18 @@ export LITELLM_LOCAL_MODEL_COST_MAP=True
 """
 
 import asyncio
+import hashlib
 import json
 import os
 import random
 import time
 from collections.abc import Awaitable, Callable
-from dataclasses import dataclass
+from dataclasses import dataclass, replace
 from datetime import datetime, timezone
 from importlib.resources import files
 from typing import Final, Protocol
 
 import httpx
-from pydantic import BaseModel, ConfigDict, ValidationError
 from typing_extensions import ReadOnly, TypedDict
 
 from litellm import verbose_logger
@@ -33,11 +33,10 @@ from litellm.litellm_core_utils.fallback_generalizations import (
 )
 
 FALLBACK_GENERALIZATIONS_KEY: Final = "fallback_generalizations"
-METADATA_KEY: Final = "_metadata"
 
 # Reserved top-level keys that are not model entries. They must be excluded
 # from the model-count integrity check so a real upstream shrink can't be masked.
-RESERVED_TOP_LEVEL_KEYS: Final = frozenset({"sample_spec", FALLBACK_GENERALIZATIONS_KEY, METADATA_KEY})
+RESERVED_TOP_LEVEL_KEYS: Final = frozenset({"sample_spec", FALLBACK_GENERALIZATIONS_KEY})
 
 
 def _count_model_entries(model_cost: dict) -> int:
@@ -45,6 +44,11 @@ def _count_model_entries(model_cost: dict) -> int:
     return sum(1 for key in model_cost if key not in RESERVED_TOP_LEVEL_KEYS)
 
 
+def git_blob_id(body: bytes) -> str:
+    """The sha1 git gives these bytes as a blob, so ``git rev-parse <commit>:<path>`` reproduces it for the file"""
+    return hashlib.sha1(b"blob %d\0" % len(body) + body, usedforsecurity=False).hexdigest()
+
+
 class GetModelCostMap:
     """
     Handles fetching, validating, and loading the model cost map.
@@ -56,15 +60,25 @@ class GetModelCostMap:
 
     _backup_model_count: int = -1  # -1 = not yet loaded
 
+    @staticmethod
+    def read_local_model_cost_map_bytes() -> bytes:
+        return files("litellm").joinpath("model_prices_and_context_window_backup.json").read_bytes()
+
     @staticmethod
     def read_local_model_cost_map_text() -> str:
-        return files("litellm").joinpath("model_prices_and_context_window_backup.json").read_text(encoding="utf-8")
+        return GetModelCostMap.read_local_model_cost_map_bytes().decode("utf-8")
+
+    @staticmethod
+    def load_local_model_cost_map_with_revision() -> "ModelCostMapReloaded":
+        """The bundled backup map together with the git blob id of the file it was parsed from"""
+        body: Final = GetModelCostMap.read_local_model_cost_map_bytes()
+        content: Final = json.loads(body)
+        return ModelCostMapReloaded(model_cost_map=content, revision=git_blob_id(body))
 
     @staticmethod
     def load_local_model_cost_map() -> dict:
         """Load the local backup model cost map bundled with the package."""
-        content: Final = json.loads(GetModelCostMap.read_local_model_cost_map_text())
-        return content
+        return GetModelCostMap.load_local_model_cost_map_with_revision().model_cost_map
 
     @classmethod
     def _get_backup_model_count(cls) -> int:
@@ -169,6 +183,7 @@ MODEL_COST_MAP_FETCH_MAX_WAIT_SECONDS: Final = 30.0
 @dataclass(frozen=True, slots=True)
 class ModelCostMapReloaded:
     model_cost_map: dict  # mutable-ok: adopted as litellm.model_cost, whose consumer contract is a plain mutable dict
+    revision: str | None = None
     etag: str | None = None
 
 
@@ -258,7 +273,9 @@ def _classify_fetch_response(response: httpx.Response, url: str) -> _FetchAttemp
         return ModelCostMapReloadUnavailable(reason=f"invalid JSON from {url}: {e}")
     if not isinstance(parsed, dict):
         return ModelCostMapReloadUnavailable(reason=f"expected a JSON object from {url}, got {type(parsed).__name__}")
-    return ModelCostMapReloaded(model_cost_map=parsed, etag=response.headers.get("etag"))
+    return ModelCostMapReloaded(
+        model_cost_map=parsed, revision=git_blob_id(response.content), etag=response.headers.get("etag")
+    )
 
 
 def _next_retry_wait(
@@ -337,10 +354,7 @@ async def refetch_model_cost_map(
         _cost_map_source_info.url = None
         _cost_map_source_info.is_env_forced = True
         _cost_map_source_info.fallback_reason = None
-        _cost_map_source_info.etag = None
-        return ModelCostMapReloaded(
-            model_cost_map=_finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map())
-        )
+        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision())
 
     result: Final = await _fetch_remote_model_cost_map_with_retry(
         url=url,
@@ -366,8 +380,7 @@ async def refetch_model_cost_map(
     _cost_map_source_info.url = url
     _cost_map_source_info.is_env_forced = False
     _cost_map_source_info.fallback_reason = None
-    _cost_map_source_info.etag = result.etag
-    return ModelCostMapReloaded(model_cost_map=_finalize_model_cost_map(result.model_cost_map), etag=result.etag)
+    return _finalize_loaded_model_cost_map(result)
 
 
 class ModelCostMapSourceInfo:
@@ -378,7 +391,6 @@ class ModelCostMapSourceInfo:
     is_env_forced: bool = False
     fallback_reason: str | None = None
     loaded_at: "datetime | None" = None
-    generated_at: str | None = None
     source_revision: str | None = None
     etag: str | None = None
 
@@ -387,28 +399,7 @@ class ModelCostMapSourceInfo:
 _cost_map_source_info: Final = ModelCostMapSourceInfo()
 
 
-class CostMapMetadata(BaseModel):
-    model_config = ConfigDict(frozen=True, extra="ignore")
-
-    generated_at: str | None = None
-    source_revision: str | None = None
-
-
-_EMPTY_METADATA: Final = CostMapMetadata()
-
-
-def _parse_metadata(raw: object) -> CostMapMetadata:
-    if raw is None:
-        return _EMPTY_METADATA
-    try:
-        return CostMapMetadata.model_validate(raw)
-    except ValidationError as error:
-        verbose_logger.warning("LiteLLM: ignoring a malformed %s block in the model cost map: %s", METADATA_KEY, error)
-        return _EMPTY_METADATA
-
-
 class CostMapProvenance(TypedDict):
-    generated_at: ReadOnly[str | None]
     source_revision: ReadOnly[str | None]
     etag: ReadOnly[str | None]
 
@@ -422,10 +413,10 @@ class CostMapSourceInfo(CostMapProvenance):
 
 
 def get_model_cost_map_provenance() -> CostMapProvenance:
-    """Which revision of the cost map this process serves: the ``_metadata`` stamp the file
-    carries plus the ETag the remote fetch returned (None for the bundled backup)"""
+    """Which revision of the cost map this process serves: the git blob id of the bytes it loaded, the
+    same id ``git rev-parse <commit>:model_prices_and_context_window.json`` prints for a checkout, plus
+    the ETag the remote fetch returned (None for the bundled backup)"""
     return {
-        "generated_at": _cost_map_source_info.generated_at,
         "source_revision": _cost_map_source_info.source_revision,
         "etag": _cost_map_source_info.etag,
     }
@@ -441,7 +432,7 @@ def get_model_cost_map_source_info() -> CostMapSourceInfo:
     - is_env_forced: True if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage
     - fallback_reason: human-readable reason if remote failed and local was used
     - loaded_at: ISO 8601 time this process last loaded the map
-    - generated_at, source_revision: the ``_metadata`` stamp inside the loaded file
+    - source_revision: git blob id of the loaded file's bytes
     - etag: the ETag of the remote fetch (None for the bundled backup)
     """
     loaded_at: Final = _cost_map_source_info.loaded_at
@@ -451,7 +442,6 @@ def get_model_cost_map_source_info() -> CostMapSourceInfo:
         "is_env_forced": _cost_map_source_info.is_env_forced,
         "fallback_reason": _cost_map_source_info.fallback_reason,
         "loaded_at": loaded_at.isoformat() if loaded_at is not None else None,
-        "generated_at": _cost_map_source_info.generated_at,
         "source_revision": _cost_map_source_info.source_revision,
         "etag": _cost_map_source_info.etag,
     }
@@ -518,21 +508,24 @@ def _expand_model_aliases(model_cost: dict) -> dict:
 
 
 def _finalize_model_cost_map(model_cost: dict) -> dict:
-    """Extract fallback generalizations and the provenance stamp out of the raw map, then expand aliases.
+    """Extract fallback generalizations out of the raw map, then expand aliases.
 
     The ``fallback_generalizations`` block is installed into the generalizations
-    module and the ``_metadata`` block into the source info; both are removed from
-    the map so neither is ever treated as a model entry.
+    module and removed from the map so it is never treated as a model entry.
     """
     raw: Final = model_cost.pop(FALLBACK_GENERALIZATIONS_KEY, None)
     rules: Final = raw.get("rules") if isinstance(raw, dict) else None
     set_fallback_generalizations(rules)
-    metadata: Final = _parse_metadata(model_cost.pop(METADATA_KEY, None))
-    _cost_map_source_info.generated_at = metadata.generated_at
-    _cost_map_source_info.source_revision = metadata.source_revision
     return _expand_model_aliases(model_cost)
 
 
+def _finalize_loaded_model_cost_map(loaded: ModelCostMapReloaded) -> ModelCostMapReloaded:
+    """Record which bytes this process now serves, then finalize the map they parsed into"""
+    _cost_map_source_info.source_revision = loaded.revision
+    _cost_map_source_info.etag = loaded.etag
+    return replace(loaded, model_cost_map=_finalize_model_cost_map(loaded.model_cost_map))
+
+
 def get_model_cost_map(
     url: str,
     timeout: int = 5,
@@ -561,12 +554,10 @@ def get_model_cost_map(
         _cost_map_source_info.url = None
         _cost_map_source_info.is_env_forced = True
         _cost_map_source_info.fallback_reason = None
-        _cost_map_source_info.etag = None
-        return _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map())
+        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
 
     _cost_map_source_info.url = url
     _cost_map_source_info.is_env_forced = False
-    _cost_map_source_info.etag = None
 
     result: Final = _fetch_remote_model_cost_map_with_retry_sync(
         url=url,
@@ -584,7 +575,7 @@ def get_model_cost_map(
         )
         _cost_map_source_info.source = "local"
         _cost_map_source_info.fallback_reason = f"Remote fetch failed: {result.reason}"
-        return _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map())
+        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
     content: Final = result.model_cost_map
 
     # Validate using cached count (cheap int comparison, no file I/O)
@@ -598,9 +589,8 @@ def get_model_cost_map(
         )
         _cost_map_source_info.source = "local"
         _cost_map_source_info.fallback_reason = "Remote data failed integrity validation"
-        return _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map())
+        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
 
     _cost_map_source_info.source = "remote"
     _cost_map_source_info.fallback_reason = None
-    _cost_map_source_info.etag = result.etag
-    return _finalize_model_cost_map(content)
+    return _finalize_loaded_model_cost_map(result).model_cost_map
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 5edb3c0e9d8..b1ffc1583e4 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -1,8 +1,4 @@
 {
-    "_metadata": {
-        "generated_at": "2026-09-07T23:38:47Z",
-        "source_revision": "cd681a573fd9f5b6f15a1355f46178e4e9d374d2"
-    },
     "sample_spec": {
         "code_interpreter_cost_per_session": 0.0,
         "computer_use_input_cost_per_1k_tokens": 0.0,
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 4741e4cd9d3..818a1506754 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -17938,7 +17938,7 @@ async def get_model_cost_map_source(
     - is_env_forced: true if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage
     - fallback_reason: human-readable reason why remote failed (null on success)
     - loaded_at: when this pod last loaded the map
-    - generated_at, source_revision: the _metadata stamp inside the loaded file
+    - source_revision: git blob id of the loaded file, what git rev-parse <commit>:<path> prints for it
     - etag: the ETag of the remote fetch (null for the bundled backup)
     - model_count: number of models in the currently loaded cost map
     """
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 5edb3c0e9d8..b1ffc1583e4 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -1,8 +1,4 @@
 {
-    "_metadata": {
-        "generated_at": "2026-09-07T23:38:47Z",
-        "source_revision": "cd681a573fd9f5b6f15a1355f46178e4e9d374d2"
-    },
     "sample_spec": {
         "code_interpreter_cost_per_session": 0.0,
         "computer_use_input_cost_per_1k_tokens": 0.0,
diff --git a/model_prices_and_context_window.schema.json b/model_prices_and_context_window.schema.json
index c40c2a67682..47a1934a703 100644
--- a/model_prices_and_context_window.schema.json
+++ b/model_prices_and_context_window.schema.json
@@ -1,27 +1,9 @@
 {
   "$schema": "https://json-schema.org/draft/2020-12/schema",
   "title": "LiteLLM model_prices_and_context_window.json",
-  "description": "Schema for LiteLLM's model price and context window registry (https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json). Every top-level key except '_metadata', 'sample_spec', and 'fallback_generalizations' is a model id, optionally prefixed with its provider (e.g. 'azure/gpt-5.4'), mapping to a model entry. All costs are USD per unit. New optional fields are added regularly, so consumers should ignore unknown fields rather than reject them.",
+  "description": "Schema for LiteLLM's model price and context window registry (https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json). Every top-level key except 'sample_spec' and 'fallback_generalizations' is a model id, optionally prefixed with its provider (e.g. 'azure/gpt-5.4'), mapping to a model entry. All costs are USD per unit. New optional fields are added regularly, so consumers should ignore unknown fields rather than reject them.",
   "type": "object",
   "properties": {
-    "_metadata": {
-      "type": "object",
-      "description": "Provenance of this file: when an automated sync last regenerated it and the commit it ran against. Human edits leave it untouched; not a model entry.",
-      "properties": {
-        "generated_at": {
-          "type": "string",
-          "format": "date-time"
-        },
-        "source_revision": {
-          "type": "string"
-        }
-      },
-      "required": [
-        "generated_at",
-        "source_revision"
-      ],
-      "additionalProperties": false
-    },
     "sample_spec": {
       "type": "object",
       "description": "Documentation placeholder illustrating the entry shape; not a real model and not schema-conformant (several values are prose)."
diff --git a/scripts/sync_together_ai_models.py b/scripts/sync_together_ai_models.py
index e009f1a7ce6..12b128890f1 100644
--- a/scripts/sync_together_ai_models.py
+++ b/scripts/sync_together_ai_models.py
@@ -19,11 +19,9 @@ import argparse
 import json
 import os
 import re
-import subprocess
 import sys
 from collections.abc import Mapping, Sequence
 from dataclasses import dataclass, field
-from datetime import datetime, timezone
 from pathlib import Path
 from types import MappingProxyType
 from typing import Final
@@ -35,7 +33,6 @@ MODELS_URL: Final = "https://api.together.ai/v1/models?serverless"
 DEPRECATIONS_URL: Final = "https://docs.together.ai/docs/deprecations.md"
 PROVIDER: Final = "together_ai"
 PREFIX: Final = "together_ai/"
-METADATA_KEY: Final = "_metadata"
 SOURCE_URL: Final = "https://docs.together.ai/docs/serverless-models"
 COST_MAP_RELPATHS: Final = (
     "model_prices_and_context_window.json",
@@ -498,23 +495,6 @@ def _serialize(cost_map: CostMap) -> str:
     return json.dumps(cost_map, indent=4, ensure_ascii=False) + "\n"
 
 
-def stamp_metadata(cost_map: CostMap, generated_at: str, source_revision: str) -> CostMap:
-    return {**cost_map, METADATA_KEY: {"generated_at": generated_at, "source_revision": source_revision}}
-
-
-def _utc_now_iso() -> str:
-    return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
-
-
-def _source_revision(repo_root: Path) -> str:
-    from_env: Final = os.environ.get("GITHUB_SHA")
-    if from_env:
-        return from_env
-    return subprocess.run(
-        ("git", "rev-parse", "HEAD"), cwd=repo_root, check=True, capture_output=True, text=True
-    ).stdout.strip()
-
-
 def main(argv: Sequence[str]) -> int:
     parser: Final = argparse.ArgumentParser(description=__doc__)
     parser.add_argument("--write", action="store_true", help="apply the sync to the cost map files (default: dry run)")
@@ -547,9 +527,8 @@ def main(argv: Sequence[str]) -> int:
     if args.pr_body_file is not None:
         args.pr_body_file.write_text(body)
     if args.write and outcome.has_changes:
-        stamped: Final = _serialize(stamp_metadata(outcome.cost_map, _utc_now_iso(), _source_revision(args.repo_root)))
         for relpath in COST_MAP_RELPATHS:
-            (args.repo_root / relpath).write_text(stamped)
+            (args.repo_root / relpath).write_text(_serialize(outcome.cost_map))
     print(render_summary(outcome))
     print()
     print(body)
diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index 62f72495491..d9fe6d2f979 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -17,11 +17,11 @@ from litellm.litellm_core_utils.fallback_generalizations import (
 )
 from litellm.litellm_core_utils.get_model_cost_map import (
     FALLBACK_GENERALIZATIONS_KEY,
-    METADATA_KEY,
     GetModelCostMap,
     _count_model_entries,
     _finalize_model_cost_map,
     get_model_cost_map_provenance,
+    git_blob_id,
 )
 
 
@@ -33,18 +33,16 @@ def _load_root_cost_map() -> dict:
         return json.load(f)
 
 
-def _load_bundled_stamp() -> dict:
-    path = os.path.join(
-        os.path.dirname(__file__), "../../../litellm/model_prices_and_context_window_backup.json"
-    )
-    with open(path) as f:
-        return json.load(f)[METADATA_KEY]
+def _bundled_blob_id() -> str:
+    path = os.path.join(os.path.dirname(__file__), "../../../litellm/model_prices_and_context_window_backup.json")
+    with open(path, "rb") as f:
+        return git_blob_id(f.read())
 
 
-_STAMP = {
-    "generated_at": "2026-09-07T00:00:00Z",
-    "source_revision": "0123456789abcdef0123456789abcdef01234567",
-}
+def test_git_blob_id_is_what_git_hash_object_prints():
+    """An operator checks a reported revision with ``git hash-object`` or ``git rev-parse <commit>:<path>``,
+    so the id must be git's blob sha1 of the exact bytes, not a plain sha1 or a hash of the parsed JSON."""
+    assert git_blob_id(b'{"gpt-5.4-mini": {"mode": "chat"}}\n') == "18b9a8381e13a3b38a2128f184f631f95829e987"
 
 
 def _make_models(n: int) -> dict:
@@ -57,7 +55,6 @@ def test_count_model_entries_excludes_reserved_keys():
     m = _make_models(3)
     m["sample_spec"] = {"foo": "bar"}
     m[FALLBACK_GENERALIZATIONS_KEY] = {"rules": []}
-    m[METADATA_KEY] = dict(_STAMP)
     assert _count_model_entries(m) == 3
 
 
@@ -143,39 +140,6 @@ def test_finalize_with_no_block_clears_rules():
         set_fallback_generalizations(previous)
 
 
-def test_finalize_pops_metadata_and_records_provenance():
-    finalized = _finalize_model_cost_map({**_make_models(2), METADATA_KEY: dict(_STAMP)})
-
-    assert METADATA_KEY not in finalized
-    assert len(finalized) == 2
-    provenance = get_model_cost_map_provenance()
-    assert provenance["generated_at"] == _STAMP["generated_at"]
-    assert provenance["source_revision"] == _STAMP["source_revision"]
-
-
-def test_finalize_without_metadata_clears_the_previous_stamp():
-    _finalize_model_cost_map({**_make_models(2), METADATA_KEY: dict(_STAMP)})
-
-    _finalize_model_cost_map(_make_models(2))
-
-    provenance = get_model_cost_map_provenance()
-    assert provenance["generated_at"] is None
-    assert provenance["source_revision"] is None
-
-
-@pytest.mark.parametrize(
-    "raw",
-    ["2026-09-07T00:00:00Z", {"generated_at": 42}, ["2026-09-07T00:00:00Z"]],
-    ids=["string", "wrong_field_type", "list"],
-)
-def test_finalize_tolerates_a_malformed_metadata_block(raw):
-    finalized = _finalize_model_cost_map({**_make_models(2), METADATA_KEY: raw})
-
-    assert METADATA_KEY not in finalized
-    assert len(finalized) == 2
-    assert get_model_cost_map_provenance()["generated_at"] is None
-
-
 def test_shipped_backup_carries_the_claude_routing_rules():
     """The bundled backup must ship the Claude routing rules so a fresh install
     (or an offline fallback) routes unknown Claude models without code changes.
@@ -390,10 +354,6 @@ def _real_map_bytes() -> bytes:
     return json.dumps(_load_root_cost_map()).encode()
 
 
-def _stamped_map_bytes(stamp: dict) -> bytes:
-    return json.dumps({**_load_root_cost_map(), METADATA_KEY: stamp}).encode()
-
-
 class _SleepRecorder:
     """Injected in place of asyncio.sleep so tests assert waits without real delay."""
 
@@ -555,40 +515,51 @@ async def test_refetch_respects_local_env_override(monkeypatch):
 
 
 @pytest.mark.asyncio
-async def test_refetch_records_the_file_stamp_and_the_fetch_etag():
-    """A reload reports which revision of the map it swapped in: the ``_metadata`` stamp the file
-    carries plus the ETag the fetch returned, with the stamp itself kept out of the model map."""
-    client, _ = _mock_client(
-        [httpx.Response(200, headers={"ETag": 'W/"abc123"'}, content=_stamped_map_bytes(_STAMP))]
-    )
+async def test_refetch_records_the_blob_id_of_the_bytes_served_and_the_fetch_etag():
+    """A reload reports which revision of the map it swapped in: the git blob id of the exact bytes the
+    fetch returned, so ``git rev-parse <commit>:model_prices_and_context_window.json`` can confirm it,
+    plus the ETag the fetch returned."""
+    body = _real_map_bytes()
+    client, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"abc123"'}, content=body)])
 
     result = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client)
 
     assert isinstance(result, ModelCostMapReloaded)
+    assert result.revision == git_blob_id(body)
     assert result.etag == 'W/"abc123"'
-    assert METADATA_KEY not in result.model_cost_map
-    assert get_model_cost_map_provenance() == {
-        "generated_at": _STAMP["generated_at"],
-        "source_revision": _STAMP["source_revision"],
-        "etag": 'W/"abc123"',
-    }
+    assert get_model_cost_map_provenance() == {"source_revision": git_blob_id(body), "etag": 'W/"abc123"'}
 
 
 @pytest.mark.asyncio
-async def test_refetch_local_override_reports_the_bundled_stamp_without_an_etag(monkeypatch):
-    """Forcing the bundled backup after a remote reload must drop the remote ETag, since the map
-    served is no longer the one that ETag identifies."""
-    remote, _ = _mock_client(
-        [httpx.Response(200, headers={"ETag": 'W/"remote"'}, content=_stamped_map_bytes(_STAMP))]
+async def test_refetch_revision_follows_the_bytes_not_the_url():
+    """Two fetches of the same URL that return different bytes report different revisions."""
+    edited = json.loads(_real_map_bytes())
+    edited["gpt-5.4-mini"]["input_cost_per_token"] = 0.5
+    client, _ = _mock_client(
+        [httpx.Response(200, content=_real_map_bytes()), httpx.Response(200, content=json.dumps(edited).encode())]
     )
+
+    first = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client)
+    second = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client)
+
+    assert isinstance(first, ModelCostMapReloaded) and isinstance(second, ModelCostMapReloaded)
+    assert first.revision != second.revision
+    assert get_model_cost_map_provenance()["source_revision"] == second.revision
+
+
+@pytest.mark.asyncio
+async def test_refetch_local_override_reports_the_bundled_blob_id_without_an_etag(monkeypatch):
+    """Forcing the bundled backup after a remote reload must report the backup's own blob id and drop the
+    remote ETag, since the map served is no longer the one that ETag identifies."""
+    remote, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"remote"'}, content=_real_map_bytes())])
     await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=remote)
     monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
 
     result = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0))
 
     assert isinstance(result, ModelCostMapReloaded)
-    assert METADATA_KEY not in result.model_cost_map
-    assert get_model_cost_map_provenance() == {**_load_bundled_stamp(), "etag": None}
+    assert result.revision == _bundled_blob_id()
+    assert get_model_cost_map_provenance() == {"source_revision": _bundled_blob_id(), "etag": None}
 
 
 # ---------------------------------------------------------------------------
@@ -633,7 +604,7 @@ def test_boot_load_retries_transient_failures_instead_of_falling_back():
     source = get_model_cost_map_source_info()
     assert source["source"] == "remote"
     assert source["fallback_reason"] is None
-    assert cost_map.keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY, METADATA_KEY}
+    assert cost_map.keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY}
 
 
 def test_boot_load_honors_retry_after_then_falls_back_after_max_attempts():
@@ -685,37 +656,31 @@ def test_boot_load_respects_local_env_override(monkeypatch):
     assert get_model_cost_map_source_info()["is_env_forced"] is True
 
 
-def test_boot_load_records_the_file_stamp_and_the_fetch_etag():
-    client, _ = _mock_client(
-        [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_stamped_map_bytes(_STAMP))],
-        client_cls=httpx.Client,
-    )
+def test_boot_load_records_the_blob_id_of_the_bytes_served_and_the_fetch_etag():
+    body = _real_map_bytes()
+    client, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=body)], client_cls=httpx.Client)
 
-    cost_map = get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=client)
+    get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=client)
 
-    assert METADATA_KEY not in cost_map
     source = get_model_cost_map_source_info()
     assert source["source"] == "remote"
     assert source["etag"] == 'W/"boot"'
-    assert source["generated_at"] == _STAMP["generated_at"]
-    assert source["source_revision"] == _STAMP["source_revision"]
+    assert source["source_revision"] == git_blob_id(body)
     assert source["loaded_at"] is not None
 
 
-def test_boot_load_fallback_to_the_backup_drops_the_remote_etag():
-    """A boot that lands on the bundled backup reports the backup's own stamp and no ETag, even
+def test_boot_load_fallback_to_the_backup_reports_its_blob_id_and_drops_the_remote_etag():
+    """A boot that lands on the bundled backup reports the backup's own blob id and no ETag, even
     when an earlier load in the same process had fetched the remote map."""
     remote, _ = _mock_client(
-        [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_stamped_map_bytes(_STAMP))],
-        client_cls=httpx.Client,
+        [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_real_map_bytes())], client_cls=httpx.Client
     )
     get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=remote)
     failing, _ = _mock_client([httpx.Response(404)], client_cls=httpx.Client)
 
-    cost_map = get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=failing)
+    get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=failing)
 
-    assert METADATA_KEY not in cost_map
     source = get_model_cost_map_source_info()
     assert source["source"] == "local"
     assert source["etag"] is None
-    assert {"generated_at": source["generated_at"], "source_revision": source["source_revision"]} == _load_bundled_stamp()
+    assert source["source_revision"] == _bundled_blob_id()
diff --git a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
index fb3583a7dd2..0490993a314 100644
--- a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
+++ b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
@@ -22,7 +22,6 @@ from .conftest import VOLATILE_KEYS, normalize
 _VOLATILE = VOLATILE_KEYS | frozenset({"timestamp"})
 
 _PROVENANCE = {
-    "generated_at": "2026-09-07T00:00:00Z",
     "source_revision": "0123456789abcdef0123456789abcdef01234567",
     "etag": 'W/"cost-map-etag"',
 }
@@ -108,22 +107,24 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma):
     assert update_payload["reload_revision"] == {"increment": 1}
 
 
-def test_reload_model_cost_map_surfaces_provenance_and_keeps_metadata_out_of_the_model_list(
+def test_reload_model_cost_map_surfaces_the_blob_id_of_the_bytes_served_on_every_status_surface(
     client, auth_as, monkeypatch, mock_prisma
 ):
-    """A real refetch through the reload route reports the file's stamp and the fetch ETag on every
-    status surface, while the ``_metadata`` block never shows up as a model anywhere."""
+    """A real refetch through the reload route reports the git blob id of the exact bytes it fetched and
+    the fetch ETag on the reload response, the source route, and the schedule status alike."""
     import httpx
 
     import litellm
+    from litellm.litellm_core_utils.get_model_cost_map import git_blob_id
     from litellm.proxy import proxy_server as ps
     from litellm.proxy._types import LitellmUserRoles
 
     _attach_litellm_config(mock_prisma)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
     monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False)
-    stamped = {**json.loads(_ROOT_COST_MAP.read_text()), "_metadata": {k: v for k, v in _PROVENANCE.items() if k != "etag"}}
-    served = httpx.Response(200, headers={"ETag": _PROVENANCE["etag"]}, content=json.dumps(stamped).encode())
+    body = _ROOT_COST_MAP.read_bytes()
+    expected = {"source_revision": git_blob_id(body), "etag": _PROVENANCE["etag"]}
+    served = httpx.Response(200, headers={"ETag": _PROVENANCE["etag"]}, content=body)
     monkeypatch.setattr(
         "litellm.litellm_core_utils.get_model_cost_map._default_reload_client",
         lambda: httpx.AsyncClient(transport=httpx.MockTransport(lambda request: served)),
@@ -144,18 +145,15 @@ def test_reload_model_cost_map_surfaces_provenance_and_keeps_metadata_out_of_the
 
     assert reload_response.status_code == 200
     reload_body = reload_response.json()
-    assert {key: reload_body[key] for key in _PROVENANCE} == _PROVENANCE
+    assert {key: reload_body[key] for key in expected} == expected
     assert source_response.status_code == 200
     source_body = source_response.json()
-    assert {key: source_body[key] for key in _PROVENANCE} == _PROVENANCE
+    assert {key: source_body[key] for key in expected} == expected
     assert source_body["source"] == "remote"
     assert status_response.status_code == 200
-    assert {key: status_response.json()[key] for key in _PROVENANCE} == _PROVENANCE
+    assert {key: status_response.json()[key] for key in expected} == expected
     assert public_response.status_code == 200
-    public_body = public_response.json()
-    assert "_metadata" not in public_body
-    assert "_metadata" not in litellm.model_cost
-    assert "gpt-4o" in public_body
+    assert "gpt-4o" in public_response.json()
     assert reload_body["models_count"] == len(litellm.model_cost)
 
 
diff --git a/tests/test_litellm/test_auto_update_price_and_context_window_file.py b/tests/test_litellm/test_auto_update_price_and_context_window_file.py
deleted file mode 100644
index d3cda09cd96..00000000000
--- a/tests/test_litellm/test_auto_update_price_and_context_window_file.py
+++ /dev/null
@@ -1,54 +0,0 @@
-"""Tests for .github/scripts/auto_update_price_and_context_window_file.py."""
-
-import importlib.util
-import json
-import re
-import sys
-from pathlib import Path
-from typing import Final
-
-_REPO_ROOT: Final = Path(__file__).resolve().parents[2]
-_MODULE_PATH: Final = _REPO_ROOT / ".github" / "scripts" / "auto_update_price_and_context_window_file.py"
-_spec: Final = importlib.util.spec_from_file_location("auto_update_price_and_context_window_file", _MODULE_PATH)
-script: Final = importlib.util.module_from_spec(_spec)
-sys.modules[_spec.name] = script
-_spec.loader.exec_module(script)
-
-_LOCAL_FILE: Final = "model_prices_and_context_window.json"
-_GENERATED_AT: Final = re.compile(r"\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z")
-
-
-def _openrouter_row(model_id: str) -> dict:
-    return {"id": model_id, "context_length": 8192, "pricing": {"prompt": "0.000001", "completion": "0.000002"}}
-
-
-def _serve(openrouter_rows: list) -> object:
-    async def fetch_data(url: str) -> list:
-        return openrouter_rows if "openrouter" in url else []
-
-    return fetch_data
-
-
-def _read_local(tmp_path: Path) -> dict:
-    return json.loads((tmp_path / _LOCAL_FILE).read_text())
-
-
-def test_main_stamps_provenance_only_when_the_sync_changed_the_file(tmp_path: Path, monkeypatch) -> None:
-    monkeypatch.chdir(tmp_path)
-    monkeypatch.setenv("GITHUB_SHA", "feedface")
-    monkeypatch.setattr(script, "fetch_data", _serve([_openrouter_row("acme/x")]))
-    (tmp_path / _LOCAL_FILE).write_text(json.dumps({"sample_spec": {"input_cost_per_token": "USD"}}, indent=4) + "\n")
-
-    script.main()
-
-    written = _read_local(tmp_path)
-    assert written["openrouter/acme/x"]["litellm_provider"] == "openrouter"
-    assert written["_metadata"]["source_revision"] == "feedface"
-    assert _GENERATED_AT.fullmatch(written["_metadata"]["generated_at"])
-
-    sentinel = {**written, "_metadata": {**written["_metadata"], "generated_at": "2000-01-01T00:00:00Z"}}
-    (tmp_path / _LOCAL_FILE).write_text(json.dumps(sentinel, indent=4) + "\n")
-
-    script.main()
-
-    assert _read_local(tmp_path) == sentinel
diff --git a/tests/test_litellm/test_cost_map_guard.py b/tests/test_litellm/test_cost_map_guard.py
index 1a60cf81164..1b4330ed62c 100644
--- a/tests/test_litellm/test_cost_map_guard.py
+++ b/tests/test_litellm/test_cost_map_guard.py
@@ -141,26 +141,6 @@ def test_bot_may_not_change_special_root_keys() -> None:
     assert _failures(head) == ("bot PRs may not change fallback_generalizations",)
 
 
-STAMP: Final = {"generated_at": "2026-09-07T00:00:00Z", "source_revision": "0123456789abcdef0123456789abcdef01234567"}
-
-
-def test_bot_may_stamp_and_restamp_metadata() -> None:
-    stamped = _snapshot({**BASE_MAP, "_metadata": STAMP})
-    assert _failures(stamped) == ()
-    assert _failures(stamped, bot=False) == ()
-
-    restamped = _snapshot(
-        {
-            **BASE_MAP,
-            "_metadata": {**STAMP, "generated_at": "2026-09-14T00:00:00Z"},
-            "fallback_generalizations": {"rules": []},
-        }
-    )
-    assert guard.guard_failures(stamped, restamped, MAP_FILES, True) == (
-        "bot PRs may not change fallback_generalizations",
-    )
-
-
 def _commit(repo: Path, cost_map: dict[str, object], message: str) -> str:
     text = _serialize(cost_map)
     (repo / guard.COST_MAP_PATH).write_text(text)
diff --git a/tests/test_litellm/test_model_prices_schema.py b/tests/test_litellm/test_model_prices_schema.py
index 3517f5840e8..c2c22c25998 100644
--- a/tests/test_litellm/test_model_prices_schema.py
+++ b/tests/test_litellm/test_model_prices_schema.py
@@ -98,25 +98,6 @@ def test_schema_rejects_malformed_entries(committed_schema: dict, entry: dict):
     assert not validator.is_valid({"some-model": entry})
 
 
-@pytest.mark.parametrize(
-    "metadata",
-    [
-        "2026-09-07T00:00:00Z",
-        {"generated_at": "2026-09-07T00:00:00Z"},
-        {"source_revision": "0123456789abcdef"},
-        {"generated_at": "2026-09-07T00:00:00Z", "source_revision": "0123456789abcdef", "author": "bot"},
-    ],
-    ids=["not_an_object", "missing_revision", "missing_generated_at", "unknown_field"],
-)
-def test_schema_rejects_a_malformed_metadata_block(committed_schema: dict, metadata: object):
-    assert not build_validator(committed_schema).is_valid({"_metadata": metadata})
-
-
-def test_schema_accepts_the_provenance_stamp_as_a_non_model_root_key(committed_schema: dict):
-    stamp = {"generated_at": "2026-09-07T00:00:00Z", "source_revision": "0123456789abcdef0123456789abcdef01234567"}
-    assert build_validator(committed_schema).is_valid({"_metadata": stamp})
-
-
 def test_schema_accepts_minimal_and_unknown_optional_fields(committed_schema: dict):
     validator = build_validator(committed_schema)
     assert validator.is_valid({"some-model": {"litellm_provider": "openai"}})
diff --git a/tests/test_litellm/test_sync_together_ai_models.py b/tests/test_litellm/test_sync_together_ai_models.py
index f58f573c208..b8a85bcfbdc 100644
--- a/tests/test_litellm/test_sync_together_ai_models.py
+++ b/tests/test_litellm/test_sync_together_ai_models.py
@@ -1,6 +1,5 @@
 import importlib.util
 import json
-import re
 from pathlib import Path
 from types import MappingProxyType
 
@@ -370,58 +369,6 @@ def test_sync_is_idempotent_over_the_repo_cost_map() -> None:
     assert second.cost_map == first.cost_map
 
 
-def test_stamp_metadata_adds_the_provenance_block_without_touching_models() -> None:
-    cost_map = {"sample_spec": {"input_cost_per_token": "USD"}, "together_ai/acme/x": {"mode": "chat"}}
-
-    stamped = sync.stamp_metadata(cost_map, "2026-09-07T00:00:00Z", "feedface")
-
-    assert stamped["_metadata"] == {"generated_at": "2026-09-07T00:00:00Z", "source_revision": "feedface"}
-    assert {key: value for key, value in stamped.items() if key != "_metadata"} == cost_map
-    assert "_metadata" not in cost_map
-
-
-def _write_registry(repo_root: Path, cost_map: dict) -> None:
-    for relpath in sync.COST_MAP_RELPATHS:
-        target = repo_root / relpath
-        target.parent.mkdir(parents=True, exist_ok=True)
-        target.write_text(json.dumps(cost_map, indent=4) + "\n")
-
-
-def _read_registries(repo_root: Path) -> tuple[dict, ...]:
-    return tuple(json.loads((repo_root / relpath).read_text()) for relpath in sync.COST_MAP_RELPATHS)
-
-
-def test_write_stamps_provenance_into_both_files_only_when_the_sync_changed_them(tmp_path: Path, monkeypatch) -> None:
-    monkeypatch.setenv("GITHUB_SHA", "feedface")
-    cost_map = json.loads((ROOT / "model_prices_and_context_window.json").read_text())
-    dropped = next(f"together_ai/{model.id}" for model in RECORDED_CATALOG if f"together_ai/{model.id}" in cost_map)
-    _write_registry(tmp_path, {key: value for key, value in cost_map.items() if key not in {dropped, "_metadata"}})
-    argv = (
-        "--write",
-        "--models-json",
-        str(FIXTURES / "models_serverless.json"),
-        "--deprecations-md",
-        str(FIXTURES / "deprecations.md"),
-        "--repo-root",
-        str(tmp_path),
-    )
-
-    assert sync.main(argv) == 0
-
-    written = _read_registries(tmp_path)
-    assert written[0] == written[1]
-    assert dropped in written[0]
-    assert written[0]["_metadata"]["source_revision"] == "feedface"
-    assert re.fullmatch(r"\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z", written[0]["_metadata"]["generated_at"])
-
-    sentinel = {**written[0], "_metadata": {**written[0]["_metadata"], "generated_at": "2000-01-01T00:00:00Z"}}
-    _write_registry(tmp_path, sentinel)
-
-    assert sync.main(argv) == 0
-
-    assert _read_registries(tmp_path) == (sentinel, sentinel)
-
-
 def test_pr_body_lists_every_section_and_the_skipped_types() -> None:
     outcome = sync.compute_sync({}, RECORDED_CATALOG, RECORDED_DOC)
     body = sync.render_pr_body(outcome)
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index f6c9a4537a1..8a56a84ade7 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -21,7 +21,6 @@ from litellm._logging import (
     verbose_logger,
 )
 from litellm.integrations.custom_logger import CustomLogger
-from litellm.litellm_core_utils.get_model_cost_map import RESERVED_TOP_LEVEL_KEYS
 from litellm.proxy.utils import is_valid_api_key
 from litellm.types.utils import (
     CallTypes,
@@ -1219,12 +1218,15 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
     with open(prod_json, "r") as model_prices_file:
         actual_json = json.load(model_prices_file)
     assert isinstance(actual_json, dict)
-    model_entries: Final = {
-        key: value for key, value in actual_json.items() if key not in RESERVED_TOP_LEVEL_KEYS
-    }
+    actual_json.pop(
+        "sample_spec", None
+    )  # remove the sample, whose schema is inconsistent with the real data
+    actual_json.pop(
+        "fallback_generalizations", None
+    )  # reserved meta key, not a model entry
 
     # Validate schema
-    validate(model_entries, INTENDED_SCHEMA)
+    validate(actual_json, INTENDED_SCHEMA)
 
     # Validate cost values
     # Define exceptions for models that are allowed to have costs > 1
@@ -1235,7 +1237,7 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
         "runwayml/seedance2",  # 4K output is 150 credits/second = $1.50/second
     ]
 
-    is_valid, violations = validate_model_cost_values(model_entries, exceptions)
+    is_valid, violations = validate_model_cost_values(actual_json, exceptions)
 
     if not is_valid:
         error_message = "Cost validation failed:\n" + "\n".join(violations)
@@ -1266,7 +1268,8 @@ def test_max_tokens_consistency():
     inconsistencies = []
 
     for model_name, config in models.items():
-        if model_name in RESERVED_TOP_LEVEL_KEYS:
+        # Skip the sample_spec
+        if model_name == "sample_spec":
             continue
 
         # Check if both max_tokens and max_output_tokens exist
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
index fde69675b72..101612993b0 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
@@ -33,15 +33,13 @@ const remoteSource = {
   is_env_forced: false,
   fallback_reason: null,
   loaded_at: null,
-  generated_at: null,
   source_revision: null,
   etag: null,
   model_count: 1234,
 };
 const provenance = {
   loaded_at: "2026-09-07T10:00:00Z",
-  generated_at: "2026-09-06T23:38:47Z",
-  source_revision: "cd681a573fd9f5b6f15a1355f46178e4e9d374d2",
+  source_revision: "4273ec544726bf255ea920533e209e6022653bb4",
   etag: 'W/"eb8e9a53f4cc284b"',
 };
 
@@ -66,24 +64,22 @@ describe("PriceDataReload", () => {
     render(<PriceDataReload accessToken="sk-test" />);
 
     expect(await screen.findByText("Source revision:")).toBeInTheDocument();
-    expect(screen.getByText("cd681a573fd9")).toBeInTheDocument();
+    expect(screen.getByText("4273ec544726")).toBeInTheDocument();
     expect(screen.getByText("ETag:")).toBeInTheDocument();
     expect(screen.getByText('W/"eb8e9a53f4cc284b"')).toBeInTheDocument();
-    expect(screen.getByText("Generated at:")).toBeInTheDocument();
-    expect(screen.getByText(new Date(provenance.generated_at).toLocaleString())).toBeInTheDocument();
     expect(screen.getByText("Loaded at:")).toBeInTheDocument();
     expect(screen.getByText(new Date(provenance.loaded_at).toLocaleString())).toBeInTheDocument();
   });
 
-  it("shows a malformed generated_at stamp as-is instead of Invalid Date", async () => {
+  it("shows a malformed loaded_at as-is instead of Invalid Date", async () => {
     vi.mocked(getModelCostMapSource).mockResolvedValue({
       ...remoteSource,
       ...provenance,
-      generated_at: "yesterday-ish",
+      loaded_at: "yesterday-ish",
     } as never);
     render(<PriceDataReload accessToken="sk-test" />);
 
-    expect(await screen.findByText("Generated at:")).toBeInTheDocument();
+    expect(await screen.findByText("Loaded at:")).toBeInTheDocument();
     expect(screen.getByText("yesterday-ish")).toBeInTheDocument();
     expect(screen.queryByText("Invalid Date")).not.toBeInTheDocument();
   });
@@ -92,7 +88,6 @@ describe("PriceDataReload", () => {
     render(<PriceDataReload accessToken="sk-test" />);
 
     expect(await screen.findByText("Pricing Data Source")).toBeInTheDocument();
-    expect(screen.queryByText("Generated at:")).not.toBeInTheDocument();
     expect(screen.queryByText("Source revision:")).not.toBeInTheDocument();
     expect(screen.queryByText("ETag:")).not.toBeInTheDocument();
     expect(screen.queryByText("Loaded at:")).not.toBeInTheDocument();
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.tsx b/ui/litellm-dashboard/src/components/price_data_reload.tsx
index c152916f271..e5977a1b6e3 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.tsx
@@ -50,7 +50,6 @@ interface CostMapSourceInfo {
   is_env_forced: boolean;
   fallback_reason: string | null;
   loaded_at: string | null;
-  generated_at: string | null;
   source_revision: string | null;
   etag: string | null;
   model_count: number;
@@ -105,13 +104,6 @@ const formatDateTime = (dateTimeString: string | null) => {
 
 const CostMapProvenanceRows: React.FC<{ sourceInfo: CostMapSourceInfo }> = ({ sourceInfo }) => (
   <>
-    {sourceInfo.generated_at && (
-      <div className="flex items-center justify-between text-xs">
-        <span className="text-muted-foreground">Generated at:</span>
-        <span className="font-medium">{formatDateTime(sourceInfo.generated_at)}</span>
-      </div>
-    )}
-
     {sourceInfo.source_revision && (
       <div className="flex items-center justify-between gap-2 text-xs">
         <span className="text-muted-foreground">Source revision:</span>
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 7b9b24c9627..fc73d8264ef 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -8685,7 +8685,7 @@ export interface paths {
          *     - is_env_forced: true if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage
          *     - fallback_reason: human-readable reason why remote failed (null on success)
          *     - loaded_at: when this pod last loaded the map
-         *     - generated_at, source_revision: the _metadata stamp inside the loaded file
+         *     - source_revision: git blob id of the loaded file, what git rev-parse <commit>:<path> prints for it
          *     - etag: the ETag of the remote fetch (null for the bundled backup)
          *     - model_count: number of models in the currently loaded cost map
          */

From e2560390770bd4387c82889eff2d606ba88c42c5 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:49:03 -0700
Subject: [PATCH 060/223] fix(bedrock): import assert_never from
 typing_extensions for Python 3.10

---
 .../llms/bedrock/embed/twelvelabs_marengo_3_transformation.py  | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
index 2ea99db47f0..0f61d37258f 100644
--- a/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
+++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
@@ -7,9 +7,10 @@ Docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-mar
 
 from collections.abc import Mapping
 from types import MappingProxyType
-from typing import Final, assert_never
+from typing import Final
 
 from pydantic import BaseModel, ConfigDict, TypeAdapter, ValidationError
+from typing_extensions import assert_never
 
 from litellm.llms.bedrock.common_utils import BedrockError
 from litellm.types.llms.bedrock import (

From 192ea9ec80ed97d771f9258320ac948080e87d2e Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 17:55:37 -0700
Subject: [PATCH 061/223] fix(policy_engine): fail open on streaming shapes
 post_call pipelines cannot govern yet

A post_call pipeline now releases the original stream instead of refusing the
request on every shape it has no handler for: a background request, a pipeline
guardrail without the unified apply_guardrail interface, a route with no
endpoint translation, a buffered stream no translation resolves, and a rewrite
the translation cannot write back (tool-call edits, text edits on translations
without write-back, n>1 chat, an unended Anthropic stream, a Responses dump
with no event envelope). Each case logs a warning naming the policy and
guardrail. Real blocks and writable text masks are unchanged.
---
 .../chat/guardrail_translation/handler.py     |   3 +-
 .../guardrail_translation/base_translation.py |   5 +-
 .../chat/guardrail_translation/handler.py     |   5 +-
 .../guardrail_translation/handler.py          |   7 +-
 .../proxy/policy_engine/pipeline_executor.py  |  66 ++--
 litellm/proxy/utils.py                        | 226 ++++++--------
 .../policy_engine/test_pipeline_executor.py   | 137 ++++++++-
 .../proxy_logging/test_guardrail_pipeline.py  | 282 +++++++++++-------
 8 files changed, 437 insertions(+), 294 deletions(-)

diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
index da30d85e26b..e486be12fe2 100644
--- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py
+++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
@@ -1027,7 +1027,8 @@ class AnthropicMessagesHandler(BaseTranslation):
         Get the string so far, check the apply guardrail to the string so far, and return the list of responses so far.
         With ``deliver_ended_stream_rewrites``, an ended stream whose guardrail rewrote the text gets the rewrite
         written back across the buffered chunks (full rewritten text in the first ``text_delta``, the rest blanked);
-        a rewrite on a stream that never reported a ``stop_reason`` has no write-back and fails closed instead.
+        a rewrite on a stream that never reported a ``stop_reason`` has no write-back and is reported as
+        undeliverable, so the pipeline executor discards it and releases the original chunks.
         """
         from litellm.integrations.custom_guardrail import ModifyResponseException
 
diff --git a/litellm/llms/base_llm/guardrail_translation/base_translation.py b/litellm/llms/base_llm/guardrail_translation/base_translation.py
index 770fac6e443..afd8e0f67f7 100644
--- a/litellm/llms/base_llm/guardrail_translation/base_translation.py
+++ b/litellm/llms/base_llm/guardrail_translation/base_translation.py
@@ -56,8 +56,9 @@ class BaseTranslation(ABC):
     """Whether ``process_output_streaming_response`` accepts
     ``deliver_ended_stream_rewrites=True`` and, on an ended (fully buffered)
     stream, writes guardrail text rewrites back across ``responses_so_far`` so
-    a buffered pipeline can release rewritten chunks instead of withholding the
-    stream. Tool-call rewrites stay undeliverable everywhere."""
+    a buffered pipeline can release rewritten chunks. Tool-call rewrites, and
+    text rewrites on every other translation, are undeliverable: the pipeline
+    executor discards them and releases the original chunks."""
 
     @staticmethod
     def transform_user_api_key_dict_to_metadata(
diff --git a/litellm/llms/openai/chat/guardrail_translation/handler.py b/litellm/llms/openai/chat/guardrail_translation/handler.py
index 4b7b1cc2700..80292aef2cf 100644
--- a/litellm/llms/openai/chat/guardrail_translation/handler.py
+++ b/litellm/llms/openai/chat/guardrail_translation/handler.py
@@ -1015,7 +1015,8 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         content-carrying chunk and the rest are blanked, the same shape the
         in-flight write-back uses. Chunks carrying only finish_reason or usage
         stay untouched. A rewrite on a stream carrying more than one distinct
-        choice index fails closed."""
+        choice index is reported as undeliverable, so the pipeline executor
+        discards it and releases the original chunks."""
         post_guardrail_texts: Final = self._string_choice_contents(guardrailed_response)
         changed: Final = tuple(
             after
@@ -1030,7 +1031,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         if len(stream_choice_indices) != 1:
             # stream_chunk_builder collapses every choice into one index-0
             # choice, so a rewrite of the rebuilt response cannot be attributed
-            # back to a single choice on an n>1 stream: withhold the stream
+            # back to a single choice on an n>1 stream: report it undeliverable
             # rather than deliver the rewrite on the wrong choice
             from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
 
diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index b543c7f1e17..b0f79552bc5 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -699,7 +699,8 @@ class OpenAIResponsesHandler(BaseTranslation):
         ``response.content_part.done``, ``response.output_item.done``) are synced
         to the rewritten envelope too, so a client reading deltas sees the
         rewrite instead of the raw model output; a rewrite observed where no
-        write-back is possible fails closed instead of releasing raw output.
+        write-back is possible is reported as undeliverable, so the pipeline
+        executor discards it and releases the original events.
         """
         if not responses_so_far:
             return responses_so_far
@@ -788,7 +789,7 @@ class OpenAIResponsesHandler(BaseTranslation):
         # ------------------------------------------------------------------ #
         # Case 2: response.output_item.done — extract tool calls only, then  #
         # fall through to the text fallback when a caller expects rewrites   #
-        # delivered, so a buffer truncated here still fails closed on text.  #
+        # delivered, so a truncated buffer still reports text undeliverable. #
         # ------------------------------------------------------------------ #
         if final_chunk.get("type") == "response.output_item.done":
             model_response_stream: Final = (
@@ -813,7 +814,7 @@ class OpenAIResponsesHandler(BaseTranslation):
         # Fallback: apply guardrail to the accumulated text string.           #
         # No structured write-back is possible here; guardrails that only     #
         # need to block/flag (not rewrite) still work correctly, and a        #
-        # rewrite a caller expects delivered fails closed instead.            #
+        # rewrite a caller expects delivered is reported undeliverable.       #
         # ------------------------------------------------------------------ #
         string_so_far: Final = self.get_streaming_string_so_far(responses_so_far)
         if string_so_far:
diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index 160938b723c..970ac20487c 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -5,6 +5,7 @@ Runs guardrails sequentially per pipeline step definitions, handling
 pass/fail actions (allow, block, next, modify_response) and data forwarding.
 """
 
+import copy
 import time
 from collections.abc import Mapping, Sequence
 from typing import TYPE_CHECKING, Any, Final, Literal
@@ -77,7 +78,7 @@ class _StreamRewriteObserver(CustomGuardrail):
     which for guardrails like Bedrock's ANONYMIZED action is only known at runtime. Text
     rewrites are deliverable on translations that write them back across the buffered chunks
     (``delivers_ended_stream_text_rewrites``); tool-call rewrites and text rewrites on any
-    other translation make the gate withhold the stream."""
+    other translation are discarded by the executor, which releases the original chunks."""
 
     def __init__(self, inner: CustomGuardrail) -> None:
         super().__init__(guardrail_name=inner.guardrail_name)
@@ -133,6 +134,19 @@ def _prepare_hook_input(
     return hook_input, scans_raw_request
 
 
+def _release_original_chunks(
+    guardrail_name: str,
+    streaming_chunks: list[object],  # mutable-ok: shared buffered-stream chunks, restored in place
+    originals: Sequence[object],
+) -> None:
+    streaming_chunks[:] = originals  # rebind-ok: the caller's buffer is the stream the client receives
+    verbose_proxy_logger.warning(
+        "Pipeline: guardrail '%s' rewrote the streamed response in a way this endpoint's streaming "
+        "pipeline cannot deliver yet; the rewrite was discarded and the original stream released",
+        guardrail_name,
+    )
+
+
 class PipelineExecutor:
     """Executes guardrail pipelines with ordered, conditional step logic."""
 
@@ -263,29 +277,37 @@ class PipelineExecutor:
         litellm_logging_obj: "LiteLLMLoggingObj | None",
     ) -> None:
         """Run one streaming post_call step through the endpoint translation, delivering
-        text rewrites on translations that support ended-stream write-back and raising
-        ``UndeliverableStreamRewrite`` for any rewrite that cannot reach the client."""
+        text rewrites on translations that support ended-stream write-back. A rewrite that
+        cannot reach the client yet (a tool-call rewrite, a text rewrite on a translation
+        without write-back, or one the translation refused with
+        ``UndeliverableStreamRewrite``) is discarded: the buffered chunks go back to the
+        originals and the step passes, so the client gets the stream the merge base sent."""
         observer: Final = _StreamRewriteObserver(callback)
         deliver_rewrites: Final = type(endpoint_translation).delivers_ended_stream_text_rewrites
-        if deliver_rewrites:
-            await endpoint_translation.process_output_streaming_response(
-                responses_so_far=streaming_chunks,
-                guardrail_to_apply=observer,
-                litellm_logging_obj=litellm_logging_obj,
-                user_api_key_dict=user_api_key_dict,
-                request_data=hook_input,
-                deliver_ended_stream_rewrites=True,
-            )
-        else:
-            await endpoint_translation.process_output_streaming_response(
-                responses_so_far=streaming_chunks,
-                guardrail_to_apply=observer,
-                litellm_logging_obj=litellm_logging_obj,
-                user_api_key_dict=user_api_key_dict,
-                request_data=hook_input,
-            )
+        originals: Final = copy.deepcopy(streaming_chunks)
+        try:
+            if deliver_rewrites:
+                await endpoint_translation.process_output_streaming_response(
+                    responses_so_far=streaming_chunks,
+                    guardrail_to_apply=observer,
+                    litellm_logging_obj=litellm_logging_obj,
+                    user_api_key_dict=user_api_key_dict,
+                    request_data=hook_input,
+                    deliver_ended_stream_rewrites=True,
+                )
+            else:
+                await endpoint_translation.process_output_streaming_response(
+                    responses_so_far=streaming_chunks,
+                    guardrail_to_apply=observer,
+                    litellm_logging_obj=litellm_logging_obj,
+                    user_api_key_dict=user_api_key_dict,
+                    request_data=hook_input,
+                )
+        except UndeliverableStreamRewrite:
+            _release_original_chunks(step.guardrail, streaming_chunks, originals)
+            return
         if observer.rewrote_tool_calls or (observer.rewrote_texts and not deliver_rewrites):
-            raise UndeliverableStreamRewrite(step.guardrail)
+            _release_original_chunks(step.guardrail, streaming_chunks, originals)
 
     @staticmethod
     async def _run_step(
@@ -386,8 +408,6 @@ class PipelineExecutor:
                 )  # mutable-ok: modified-data contract is a plain dict
             return ("pass", response if isinstance(response, dict) else None, None, None)
 
-        except UndeliverableStreamRewrite:
-            raise
         except Exception as e:
             if CustomGuardrail._is_guardrail_intervention(e):
                 error_msg: Final = _extract_error_message(e)
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index ca8e48b5dfa..d7bf832bca4 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -19,7 +19,7 @@ from email.mime.text import MIMEText
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, ClassVar, Final, Literal, Optional, Protocol, TypeVar, Union, cast, overload
 
-from typing_extensions import NotRequired, ReadOnly, TypedDict
+from typing_extensions import ReadOnly, TypedDict
 
 from litellm import _custom_logger_compatible_callbacks_literal
 from litellm.constants import (
@@ -155,7 +155,7 @@ from litellm.proxy.hooks.sensitive_data_routing import (
 )
 from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup, add_guardrails_from_auth_metadata
 from litellm.proxy.management_helpers.key_settings_audit import with_settings_updated_at
-from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor, UndeliverableStreamRewrite
+from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor
 from litellm.repositories.budget_repository import BudgetRepository
 from litellm.repositories.config_repository import ConfigRepository
 from litellm.repositories.table_repositories import (
@@ -518,108 +518,72 @@ def _pipeline_step_supports_unified_streaming(guardrail_name: str) -> bool:
     return callback is not None and PipelineExecutor.supports_unified_execution(callback)
 
 
-class _PipelineErrorBody(TypedDict):
-    message: ReadOnly[str]
-    type: ReadOnly[str]
-    policies: ReadOnly[tuple[str, ...]]
-    guardrails: NotRequired[ReadOnly[tuple[str, ...]]]
-
-
-class _PipelineErrorDetail(TypedDict):
-    error: ReadOnly[_PipelineErrorBody]
-
-
-def _undeliverable_stream_rewrite_error(policy_name: str, guardrail_name: str) -> HTTPException:
-    detail: Final[_PipelineErrorDetail] = {
-        "error": {
-            "message": (
-                f"Streaming response withheld by policy pipeline '{policy_name}' because guardrail "
-                f"'{guardrail_name}' rewrote the streamed output in a way this endpoint's streaming "
-                "pipeline cannot deliver (a tool-call rewrite, or a text rewrite on a route without "
-                "stream write-back). Retry with stream=false, or drop it from the pipeline steps so "
-                "guardrails.add applies it to streamed output."
-            ),
-            "type": "guardrail_pipeline_error",
-            "policies": (policy_name,),
-            "guardrails": (guardrail_name,),
-        }
-    }
-    return HTTPException(status_code=400, detail=detail)
-
-
-def _raise_for_streaming_post_call_pipelines(data: Mapping[str, object], user_api_key_dict: UserAPIKeyAuth) -> None:
-    """
-    Reject up front the requests whose post_call pipelines could never run.
-
-    Background responses skip the post_call hooks entirely, so a pipeline
-    governing one would silently never execute. Streaming responses execute
-    pipelines against the buffered stream through the endpoint guardrail
-    translation of the request route, releasing the buffered chunks on allow
-    (rewritten in place when a guardrail rewrote text and the translation
-    delivers ended-stream rewrites; a rewrite the translation cannot deliver
-    fails closed at runtime instead). That needs every step's guardrail to
-    support the unified apply_guardrail interface, and needs the route to have
-    a translation at all; anything else keeps the 400 rather than letting
-    ungoverned output stream through.
-    """
-    is_stream: Final = data.get("stream") is True
-    is_background: Final = data.get("background") is True
-    if not is_stream and not is_background:
-        return
-    post_call_pipelines: Final = tuple(
+def _post_call_pipelines(data: Mapping[str, object]) -> tuple[tuple[str, "GuardrailPipeline"], ...]:
+    return tuple(
         (policy_name, pipeline) for policy_name, pipeline in _policy_pipelines(data) if pipeline.mode == "post_call"
     )
+
+
+def _warn_background_skips_post_call_pipelines(data: Mapping[str, object]) -> None:
+    if data.get("background") is not True:
+        return
+    policy_names: Final = tuple(policy_name for policy_name, _pipeline in _post_call_pipelines(data))
+    if not policy_names:
+        return
+    verbose_proxy_logger.warning(
+        "Policies with post_call guardrail pipelines do not run on background responses yet; "
+        "the response is released ungoverned by them: %s",
+        ", ".join(policy_names),
+    )
+
+
+def _pipeline_is_streamable(policy_name: str, pipeline: "GuardrailPipeline") -> bool:
+    unsupported: Final = tuple(
+        dict.fromkeys(
+            step.guardrail for step in pipeline.steps if not _pipeline_step_supports_unified_streaming(step.guardrail)
+        )
+    )
+    if not unsupported:
+        return True
+    verbose_proxy_logger.warning(
+        "Policy '%s' has post_call pipeline guardrails without the unified apply_guardrail interface, "
+        "which streaming pipelines need; the stream is released ungoverned by it: %s",
+        policy_name,
+        ", ".join(unsupported),
+    )
+    return False
+
+
+def _streamable_post_call_pipelines(
+    request_data: Mapping[str, object], user_api_key_dict: UserAPIKeyAuth
+) -> tuple[tuple[str, "GuardrailPipeline"], ...]:
+    """
+    The post_call pipelines a streaming response can be gated through.
+
+    Streaming pipelines scan the buffered stream through the endpoint guardrail
+    translation of the request route, so every step's guardrail needs the
+    unified apply_guardrail interface and the route needs a translation. A
+    pipeline that cannot be run that way yet is left out and the stream is
+    released the way it was before pipelines ran on streams at all, with a
+    warning naming what went ungoverned.
+    """
+    post_call_pipelines: Final = _post_call_pipelines(request_data)
     if not post_call_pipelines:
-        return
-    post_call_policies: Final = tuple(policy_name for policy_name, _pipeline in post_call_pipelines)
-    if is_background:
-        background_detail: Final[_PipelineErrorDetail] = {
-            "error": {
-                "message": (
-                    "Policies with post_call guardrail pipelines cannot govern background "
-                    f"responses: {', '.join(post_call_policies)}. Retry with background=false."
-                ),
-                "type": "guardrail_pipeline_error",
-                "policies": post_call_policies,
-            }
-        }
-        raise HTTPException(status_code=400, detail=background_detail)
-    step_guardrails: Final = tuple(
-        dict.fromkeys(step.guardrail for _policy_name, pipeline in post_call_pipelines for step in pipeline.steps)
-    )
-    unsupported_guardrails: Final = tuple(
-        guardrail for guardrail in step_guardrails if not _pipeline_step_supports_unified_streaming(guardrail)
-    )
-    if unsupported_guardrails:
-        unsupported_detail: Final[_PipelineErrorDetail] = {
-            "error": {
-                "message": (
-                    "Policies with post_call guardrail pipelines cannot govern streaming responses "
-                    "because these pipeline guardrails do not support the unified apply_guardrail "
-                    f"interface: {', '.join(unsupported_guardrails)}. Retry with stream=false, or drop "
-                    "them from the pipeline steps so guardrails.add scans them on streamed output."
-                ),
-                "type": "guardrail_pipeline_error",
-                "policies": post_call_policies,
-                "guardrails": unsupported_guardrails,
-            }
-        }
-        raise HTTPException(status_code=400, detail=unsupported_detail)
+        return ()
     route: Final = user_api_key_dict.request_route
-    if not route or resolve_endpoint_translation(user_api_key_dict, None) is not None:
-        return
-    route_detail: Final[_PipelineErrorDetail] = {
-        "error": {
-            "message": (
-                "Policies with post_call guardrail pipelines cannot govern streaming responses on "
-                f"route {route} because it has no endpoint guardrail translation to scan the stream "
-                f"through: {', '.join(post_call_policies)}. Retry with stream=false."
-            ),
-            "type": "guardrail_pipeline_error",
-            "policies": post_call_policies,
-        }
-    }
-    raise HTTPException(status_code=400, detail=route_detail)
+    if route and resolve_endpoint_translation(user_api_key_dict, None) is None:
+        verbose_proxy_logger.warning(
+            "Policies with post_call guardrail pipelines cannot scan streaming responses on route %s yet "
+            "(no endpoint guardrail translation); the stream is released ungoverned by them: %s",
+            route,
+            ", ".join(policy_name for policy_name, _pipeline in post_call_pipelines),
+        )
+        return ()
+    return tuple(
+        (policy_name, pipeline)
+        for policy_name, pipeline in post_call_pipelines
+        if _pipeline_is_streamable(policy_name, pipeline)
+    )
 
 
 def _prompt_block_text(block: object) -> str:
@@ -1990,7 +1954,7 @@ class ProxyLogging:
         )
 
         try:
-            _raise_for_streaming_post_call_pipelines(data, user_api_key_dict)
+            _warn_background_skips_post_call_pipelines(data)
 
             # Execute guardrail pipelines before the normal callback loop
             data, _ = await self._maybe_execute_pipelines(  # rebind-ok: pipeline edits feed the callback loop below
@@ -3371,11 +3335,7 @@ class ProxyLogging:
         1. /chat/completions
         """
         caps: Final = ProxyLogging._callback_capabilities()
-        post_call_pipelines: Final = tuple(
-            (policy_name, pipeline)
-            for policy_name, pipeline in _policy_pipelines(request_data)
-            if pipeline.mode == "post_call"
-        )
+        post_call_pipelines: Final = _streamable_post_call_pipelines(request_data, user_api_key_dict)
         # Fast path: no real overrides. Internal proxy CustomLogger callbacks
         # (e.g. _PROXY_MaxBudgetLimiter, ManagedFiles) inherit the default
         # ``async for chunk: yield chunk`` body, so wrapping the iterator
@@ -3486,9 +3446,11 @@ class ProxyLogging:
         output, rewritten in place when one rewrote text and the translation
         delivers ended-stream rewrites (later steps then re-scan the rewritten
         chunks, so rewrites chain). A rewrite the translation cannot deliver
-        (a tool-call rewrite, or a text rewrite on a route without write-back)
-        withholds the stream with a 400; a block or modify_response terminates
-        with the translation's block chunks or the raised error.
+        yet (a tool-call rewrite, or a text rewrite on a route without
+        write-back) is discarded by the executor and the original chunks are
+        released, as is a buffered shape no translation resolves; a block or
+        modify_response terminates with the translation's block chunks or the
+        raised error.
         """
         buffered: Final[list[object]] = []  # mutable-ok: accumulates the stream before the pipeline verdict
         async for item in response:
@@ -3498,39 +3460,27 @@ class ProxyLogging:
 
         resolved: Final = resolve_endpoint_translation(user_api_key_dict, buffered[0])
         if resolved is None:
-            policy_names: Final = tuple(policy_name for policy_name, _pipeline in pipelines)
-            raise ProxyException(
-                message=(
-                    "Policy pipelines could not govern this streaming response shape; "
-                    f"the response was withheld: {', '.join(policy_names)}."
-                ),
-                type="guardrail_pipeline_error",
-                param=None,
-                code=500,
+            verbose_proxy_logger.warning(
+                "Policies with post_call guardrail pipelines cannot scan this streaming response shape yet; "
+                "the stream is released ungoverned by them: %s",
+                ", ".join(policy_name for policy_name, _pipeline in pipelines),
             )
+            for buffered_item in buffered:
+                yield buffered_item
+            return
         call_type, endpoint_translation = resolved
 
         for policy_name, pipeline in pipelines:
-            try:
-                result: PipelineExecutionResult = await PipelineExecutor.execute_steps(
-                    steps=pipeline.steps,
-                    mode="post_call",
-                    data=request_data,
-                    user_api_key_dict=user_api_key_dict,
-                    call_type=call_type,
-                    policy_name=policy_name,
-                    streaming_chunks=buffered,
-                    endpoint_translation=endpoint_translation,
-                )
-            except UndeliverableStreamRewrite as rewrite:
-                async for error_chunk in unified_guardrail.emit_streaming_http_error(
-                    _undeliverable_stream_rewrite_error(policy_name, rewrite.guardrail_name),
-                    call_type,
-                    buffered,
-                    request_data,
-                ):
-                    yield error_chunk
-                return
+            result: PipelineExecutionResult = await PipelineExecutor.execute_steps(
+                steps=pipeline.steps,
+                mode="post_call",
+                data=request_data,
+                user_api_key_dict=user_api_key_dict,
+                call_type=call_type,
+                policy_name=policy_name,
+                streaming_chunks=buffered,
+                endpoint_translation=endpoint_translation,
+            )
             try:
                 ProxyLogging._handle_pipeline_result(
                     result, data=request_data, policy_name=policy_name, original_response=buffered
diff --git a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
index d399b4f01cb..0685bc6aa1e 100644
--- a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
+++ b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
@@ -4,6 +4,7 @@ Tests for the pipeline executor.
 Uses mock guardrails to validate pipeline execution without external services.
 """
 
+import logging
 from unittest.mock import MagicMock
 
 import pytest
@@ -941,7 +942,55 @@ class _TextTranslation:
         return responses_so_far
 
 
-async def _run_streaming_step(returned_texts, translation):
+class _WritingTranslation:
+    """Writes the guardrail's text (and tool-call) outputs back into the buffered chunks the way the
+    chat/Responses/Messages handlers do on an ended stream."""
+
+    delivers_ended_stream_text_rewrites = True
+
+    async def process_output_streaming_response(
+        self,
+        responses_so_far,
+        guardrail_to_apply,
+        litellm_logging_obj=None,
+        user_api_key_dict=None,
+        request_data=None,
+        deliver_ended_stream_rewrites=False,
+    ):
+        assert deliver_ended_stream_rewrites is True
+        outputs = await guardrail_to_apply.apply_guardrail(
+            inputs={"texts": [responses_so_far[0]["text"]], "tool_calls": [dict(responses_so_far[0]["tool_call"])]},
+            request_data=request_data or {},
+            input_type="response",
+            logging_obj=litellm_logging_obj,
+        )
+        responses_so_far[0]["text"] = outputs["texts"][0]
+        responses_so_far[0]["tool_call"] = outputs["tool_calls"][0]
+        return responses_so_far
+
+
+class _RefusingTranslation:
+    delivers_ended_stream_text_rewrites = True
+
+    async def process_output_streaming_response(
+        self,
+        responses_so_far,
+        guardrail_to_apply,
+        litellm_logging_obj=None,
+        user_api_key_dict=None,
+        request_data=None,
+        deliver_ended_stream_rewrites=False,
+    ):
+        responses_so_far[0]["text"] = "half-written"
+        raise UndeliverableStreamRewrite(guardrail_to_apply.guardrail_name)
+
+
+def _chunk():
+    return {"text": "hello world", "tool_call": {"function": {"name": "lookup", "arguments": '{"ssn": "123"}'}}}
+
+
+async def _run_streaming_step(translation, streaming_chunks=None):
+    chunks = [object()] if streaming_chunks is None else streaming_chunks
     return await PipelineExecutor.execute_steps(
         steps=[PipelineStep(guardrail="masker", on_pass="allow", on_fail="next", on_error="next")],
         mode="post_call",
@@ -949,31 +998,41 @@ async def _run_streaming_step(returned_texts, translation):
         user_api_key_dict=MagicMock(),
         call_type="completion",
         policy_name="p",
-        streaming_chunks=[object()],
+        streaming_chunks=chunks,
         endpoint_translation=translation,
     )
 
 
+def _assert_passed_with_discard_warning(result, caplog):
+    assert result.terminal_action == "allow"
+    assert [step.outcome for step in result.step_results] == ["pass"]
+    assert any("'masker'" in record.getMessage() and "discarded" in record.getMessage() for record in caplog.records)
+
+
 @pytest.mark.asyncio
-async def test_streaming_step_rewrite_escapes_execute_steps_regardless_of_step_actions(monkeypatch):
+async def test_streaming_step_discards_text_rewrite_when_translation_lacks_write_back(monkeypatch, caplog):
     monkeypatch.setattr(litellm, "callbacks", [_TextReturningGuardrail(["hello [MASKED]"])])
     translation = _TextTranslation()
+    chunks = [_chunk()]
 
-    with pytest.raises(UndeliverableStreamRewrite) as info:
-        await _run_streaming_step(["hello [MASKED]"], translation)
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await _run_streaming_step(translation, chunks)
 
-    assert info.value.guardrail_name == "masker"
+    _assert_passed_with_discard_warning(result, caplog)
+    assert chunks == [_chunk()]
     assert translation.seen_guardrail_names == ["masker"]
 
 
 @pytest.mark.asyncio
-async def test_streaming_step_unchanged_texts_in_another_container_allow(monkeypatch):
+async def test_streaming_step_unchanged_texts_in_another_container_allow(monkeypatch, caplog):
     monkeypatch.setattr(litellm, "callbacks", [_TextReturningGuardrail(("hello world",))])
 
-    result = await _run_streaming_step(("hello world",), _TextTranslation())
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await _run_streaming_step(_TextTranslation())
 
     assert result.terminal_action == "allow"
     assert [step.outcome for step in result.step_results] == ["pass"]
+    assert not any("discarded" in record.getMessage() for record in caplog.records)
 
 
 class _InPlaceMutatingGuardrail(CustomGuardrail):
@@ -989,10 +1048,64 @@ class _InPlaceMutatingGuardrail(CustomGuardrail):
 
 
 @pytest.mark.asyncio
-async def test_streaming_step_in_place_rewrite_still_withholds_stream(monkeypatch):
+async def test_streaming_step_in_place_rewrite_is_discarded_without_write_back(monkeypatch, caplog):
     monkeypatch.setattr(litellm, "callbacks", [_InPlaceMutatingGuardrail()])
+    chunks = [_chunk()]
 
-    with pytest.raises(UndeliverableStreamRewrite) as info:
-        await _run_streaming_step(["hello [MASKED]"], _TextTranslation())
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await _run_streaming_step(_TextTranslation(), chunks)
 
-    assert info.value.guardrail_name == "masker"
+    _assert_passed_with_discard_warning(result, caplog)
+    assert chunks == [_chunk()]
+
+
+class _TextAndToolCallRewritingGuardrail(CustomGuardrail):
+    def __init__(self, rewrite_tool_call):
+        super().__init__(guardrail_name="masker", event_hook="post_call", default_on=True)
+        self.rewrite_tool_call = rewrite_tool_call
+
+    async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+        tool_calls = (
+            [{"function": {"name": "lookup", "arguments": '{"ssn": "[MASKED]"}'}}]
+            if self.rewrite_tool_call
+            else inputs["tool_calls"]
+        )
+        return {**inputs, "texts": ["hello [MASKED]"], "tool_calls": tool_calls}
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_delivers_text_rewrite_through_writing_translation(monkeypatch, caplog):
+    monkeypatch.setattr(litellm, "callbacks", [_TextAndToolCallRewritingGuardrail(rewrite_tool_call=False)])
+    chunks = [_chunk()]
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await _run_streaming_step(_WritingTranslation(), chunks)
+
+    assert result.terminal_action == "allow"
+    assert chunks[0]["text"] == "hello [MASKED]"
+    assert chunks[0]["tool_call"]["function"]["arguments"] == '{"ssn": "123"}'
+    assert not any("discarded" in record.getMessage() for record in caplog.records)
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_discards_tool_call_rewrite_and_restores_written_text(monkeypatch, caplog):
+    monkeypatch.setattr(litellm, "callbacks", [_TextAndToolCallRewritingGuardrail(rewrite_tool_call=True)])
+    chunks = [_chunk()]
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await _run_streaming_step(_WritingTranslation(), chunks)
+
+    _assert_passed_with_discard_warning(result, caplog)
+    assert chunks == [_chunk()]
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_restores_chunks_when_translation_refuses_the_rewrite(monkeypatch, caplog):
+    monkeypatch.setattr(litellm, "callbacks", [_TextReturningGuardrail(["hello [MASKED]"])])
+    chunks = [_chunk()]
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await _run_streaming_step(_RefusingTranslation(), chunks)
+
+    _assert_passed_with_discard_warning(result, caplog)
+    assert chunks == [_chunk()]
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 2e73bebb07c..ad2b4a0efbb 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -11,6 +11,7 @@ from __future__ import annotations
 
 import asyncio
 import json
+import logging
 from typing import Any, Callable, Dict, List
 from unittest.mock import AsyncMock, MagicMock, patch
 
@@ -24,9 +25,9 @@ from litellm.integrations.custom_guardrail import (
     ModifyResponseException,
 )
 from litellm.integrations.prometheus import PrometheusLogger
-from litellm.proxy._types import ProxyException, UserAPIKeyAuth
+from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.common_utils.callback_utils import add_guardrail_to_applied_guardrails_header
-from litellm.proxy.utils import ProxyLogging, _raise_for_streaming_post_call_pipelines
+from litellm.proxy.utils import ProxyLogging, _streamable_post_call_pipelines
 from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.content_filter import ContentFilterGuardrail
 from litellm.types.guardrails import BlockedWord, ContentFilterAction, GuardrailEventHooks
 from litellm.types.proxy.policy_engine.pipeline_types import (
@@ -1384,76 +1385,87 @@ async def test_pre_call_pipeline_managed_parallel_guardrail_runs_exactly_once(
     assert seen["count"] == 1
 
 
+def _warnings(caplog: pytest.LogCaptureFixture) -> List[str]:
+    return [record.getMessage() for record in caplog.records if record.levelno >= logging.WARNING]
+
+
 @pytest.mark.asyncio
-async def test_pre_call_hook_rejects_streaming_request_with_post_call_pipeline(
-    proxy_logging, make_user_api_key_auth, monkeypatch
+async def test_streaming_request_whose_pipeline_guardrail_is_missing_streams_verbatim(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
 ):
     monkeypatch.setattr(litellm, "callbacks", [])
     data = _post_call_pipeline_data(stream=True)
+    chunks = _stream_chunks()
+    delivered: List[Any] = []
 
-    with pytest.raises(HTTPException) as info:
-        await proxy_logging.pre_call_hook(
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        out = await proxy_logging.pre_call_hook(
             user_api_key_dict=make_user_api_key_auth(),
             data=data,
             call_type="completion",
             guardrails_only=True,
         )
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        ):
+            delivered.append(item)
 
-    assert info.value.status_code == 400
-    assert info.value.detail["error"]["policies"] == ("response-governance",)
-    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
-    assert "stream=false" in info.value.detail["error"]["message"]
+    assert out is not None
+    assert out.get("stream") is True
+    assert [item is chunk for item, chunk in zip(delivered, chunks)] == [True, True]
+    assert len(delivered) == 2
+    assert any("response-governance" in message and "gr-post" in message for message in _warnings(caplog))
 
 
 @pytest.mark.asyncio
-async def test_pre_call_hook_rejects_background_request_with_post_call_pipeline(
-    proxy_logging, make_user_api_key_auth, monkeypatch
+async def test_pre_call_hook_accepts_background_request_with_post_call_pipeline(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
 ):
     monkeypatch.setattr(litellm, "callbacks", [])
     data = _post_call_pipeline_data(background=True)
 
-    with pytest.raises(HTTPException) as info:
-        await proxy_logging.pre_call_hook(
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        out = await proxy_logging.pre_call_hook(
             user_api_key_dict=make_user_api_key_auth(),
             data=data,
             call_type="aresponses",
             guardrails_only=True,
         )
 
-    assert info.value.status_code == 400
-    assert info.value.detail["error"]["policies"] == ("response-governance",)
-    assert "background=false" in info.value.detail["error"]["message"]
+    assert out is not None
+    assert out.get("background") is True
+    assert any("response-governance" in message and "background" in message for message in _warnings(caplog))
 
 
-def test_raise_for_streaming_post_call_pipelines_ignores_non_streaming_and_pre_call(make_user_api_key_auth):
-    post_call = GuardrailPipeline(mode="post_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
-    pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
-    auth = make_user_api_key_auth(request_route="/custom/stream")
+@pytest.mark.asyncio
+async def test_pre_call_hook_stays_quiet_on_background_request_without_post_call_pipeline(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
+):
+    seen: Dict[str, Any] = {}
+    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
+    pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="gr-post", on_fail="block")])
+    data = {
+        "model": "m",
+        "messages": [{"role": "user", "content": "hi"}],
+        "background": True,
+        "metadata": {
+            "_guardrail_pipelines": [("request-governance", pre_call)],
+            "_pipeline_managed_guardrails": {"gr-post"},
+        },
+    }
 
-    assert (
-        _raise_for_streaming_post_call_pipelines(
-            {"stream": False, "metadata": {"_guardrail_pipelines": [("p", post_call)]}}, auth
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        out = await proxy_logging.pre_call_hook(
+            user_api_key_dict=make_user_api_key_auth(),
+            data=data,
+            call_type="aresponses",
+            guardrails_only=True,
         )
-        is None
-    )
-    assert (
-        _raise_for_streaming_post_call_pipelines(
-            {"background": False, "metadata": {"_guardrail_pipelines": [("p", post_call)]}}, auth
-        )
-        is None
-    )
-    assert (
-        _raise_for_streaming_post_call_pipelines({"metadata": {"_guardrail_pipelines": [("p", post_call)]}}, auth)
-        is None
-    )
-    assert (
-        _raise_for_streaming_post_call_pipelines(
-            {"stream": True, "metadata": {"_guardrail_pipelines": [("p", pre_call)]}}, auth
-        )
-        is None
-    )
-    assert _raise_for_streaming_post_call_pipelines({"stream": True}, auth) is None
-    assert _raise_for_streaming_post_call_pipelines({"background": True}, auth) is None
+
+    assert out is not None
+    assert not any("background" in message for message in _warnings(caplog))
 
 
 # ---------------------------------------------------------------------------
@@ -1485,6 +1497,56 @@ async def _async_chunk_iter(chunks: List[Any]):
         yield chunk
 
 
+def test_streamable_post_call_pipelines_keeps_supported_and_drops_unsupported(
+    make_user_api_key_auth, monkeypatch, caplog
+):
+    class NativeOnlyGuardrail(CustomGuardrail):
+        pass
+
+    supported = _unified_stream_guardrail({})
+    native_only = NativeOnlyGuardrail(guardrail_name="gr-native", event_hook=GuardrailEventHooks.post_call)
+    monkeypatch.setattr(litellm, "callbacks", [supported, native_only])
+    governed = GuardrailPipeline(mode="post_call", steps=[PipelineStep(guardrail="gr-post", on_fail="block")])
+    ungoverned = GuardrailPipeline(
+        mode="post_call",
+        steps=[PipelineStep(guardrail="gr-post", on_fail="next"), PipelineStep(guardrail="gr-native", on_fail="block")],
+    )
+    pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="gr-native", on_fail="block")])
+    data = {"metadata": {"_guardrail_pipelines": [("governed", governed), ("ungoverned", ungoverned), ("req", pre_call)]}}
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        streamable = _streamable_post_call_pipelines(data, make_user_api_key_auth(request_route="/v1/chat/completions"))
+
+    assert streamable == (("governed", governed),)
+    assert any("'ungoverned'" in message and "gr-native" in message for message in _warnings(caplog))
+    assert not any("'governed'" in message for message in _warnings(caplog))
+
+
+def test_streamable_post_call_pipelines_is_empty_on_route_without_translation(
+    make_user_api_key_auth, monkeypatch, caplog
+):
+    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail({})])
+    governed = GuardrailPipeline(mode="post_call", steps=[PipelineStep(guardrail="gr-post", on_fail="block")])
+    data = {"metadata": {"_guardrail_pipelines": [("governed", governed)]}}
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        streamable = _streamable_post_call_pipelines(data, make_user_api_key_auth(request_route="/custom/stream"))
+
+    assert streamable == ()
+    assert any("/custom/stream" in message and "governed" in message for message in _warnings(caplog))
+
+
+def test_streamable_post_call_pipelines_is_empty_without_post_call_pipelines(make_user_api_key_auth, caplog):
+    pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="g", on_fail="block")])
+    auth = make_user_api_key_auth(request_route="/custom/stream")
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        assert _streamable_post_call_pipelines({"metadata": {"_guardrail_pipelines": [("p", pre_call)]}}, auth) == ()
+        assert _streamable_post_call_pipelines({"stream": True}, auth) == ()
+
+    assert _warnings(caplog) == []
+
+
 @pytest.mark.asyncio
 @pytest.mark.parametrize("request_route", [None, "/v1/chat/completions"])
 async def test_pre_call_hook_allows_streaming_when_pipeline_guardrail_supports_unified(
@@ -1507,21 +1569,25 @@ async def test_pre_call_hook_allows_streaming_when_pipeline_guardrail_supports_u
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize("native_lifecycle", [False, True])
-async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_lacks_unified_support(
-    proxy_logging, make_user_api_key_auth, monkeypatch, native_lifecycle
+async def test_streaming_iterator_hook_releases_stream_when_pipeline_guardrail_lacks_unified_support(
+    proxy_logging, make_user_api_key_auth, monkeypatch, native_lifecycle, caplog
 ):
+    seen: Dict[str, Any] = {}
     if native_lifecycle:
 
         class NativeOnlyGuardrail(CustomGuardrail):
             use_native_lifecycle_hooks = True
 
             async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+                seen["count"] = seen.get("count", 0) + 1
                 return inputs
 
     else:
 
         class NativeOnlyGuardrail(CustomGuardrail):
-            pass
+            async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+                seen["count"] = seen.get("count", 0) + 1
+                return response
 
     monkeypatch.setattr(
         litellm,
@@ -1529,18 +1595,29 @@ async def test_pre_call_hook_rejects_streaming_when_pipeline_guardrail_lacks_uni
         [NativeOnlyGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)],
     )
     data = _post_call_pipeline_data(stream=True)
+    chunks = _stream_chunks()
+    delivered: List[Any] = []
 
-    with pytest.raises(HTTPException) as info:
-        await proxy_logging.pre_call_hook(
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        out = await proxy_logging.pre_call_hook(
             user_api_key_dict=make_user_api_key_auth(),
             data=data,
             call_type="completion",
             guardrails_only=True,
         )
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        ):
+            delivered.append(item)
 
-    assert info.value.status_code == 400
-    assert info.value.detail["error"]["guardrails"] == ("gr-post",)
-    assert "apply_guardrail" in info.value.detail["error"]["message"]
+    assert out is not None
+    assert out.get("stream") is True
+    assert [item is chunk for item, chunk in zip(delivered, chunks)] == [True, True]
+    assert len(delivered) == 2
+    assert seen.get("count") is None
+    assert any("'response-governance'" in message and "gr-post" in message for message in _warnings(caplog))
 
 
 @pytest.mark.asyncio
@@ -1614,25 +1691,34 @@ async def test_pre_call_hook_allows_streaming_when_content_filter_category_masks
 
 
 @pytest.mark.asyncio
-async def test_pre_call_hook_rejects_streaming_when_route_has_no_guardrail_translation(
-    proxy_logging, make_user_api_key_auth, monkeypatch
+async def test_streaming_iterator_hook_releases_stream_when_route_has_no_guardrail_translation(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
 ):
     seen: Dict[str, Any] = {}
     monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
     data = _post_call_pipeline_data(stream=True)
+    chunks = _stream_chunks()
+    delivered: List[Any] = []
 
-    with pytest.raises(HTTPException) as info:
-        await proxy_logging.pre_call_hook(
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        out = await proxy_logging.pre_call_hook(
             user_api_key_dict=make_user_api_key_auth(request_route="/custom/stream"),
             data=data,
             call_type="completion",
             guardrails_only=True,
         )
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/custom/stream"),
+            response=_async_chunk_iter(chunks),
+            request_data=data,
+        ):
+            delivered.append(item)
 
-    assert info.value.status_code == 400
-    assert info.value.detail["error"]["policies"] == ("response-governance",)
-    assert "/custom/stream" in info.value.detail["error"]["message"]
+    assert out is not None
+    assert [item is chunk for item, chunk in zip(delivered, chunks)] == [True, True]
+    assert len(delivered) == 2
     assert seen.get("count") is None
+    assert any("/custom/stream" in message and "response-governance" in message for message in _warnings(caplog))
 
 
 @pytest.mark.asyncio
@@ -1714,8 +1800,8 @@ def _echoed_tool_call_dicts(arguments: str) -> List[Dict[str, Any]]:
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize("on_fail, on_error", [("block", None), ("next", "next")])
-async def test_streaming_iterator_hook_pipeline_withholds_runtime_tool_call_rewrite(
-    proxy_logging, make_user_api_key_auth, monkeypatch, on_fail, on_error
+async def test_streaming_iterator_hook_pipeline_releases_originals_on_runtime_tool_call_rewrite(
+    proxy_logging, make_user_api_key_auth, monkeypatch, on_fail, on_error, caplog
 ):
     transform = lambda inputs: {"tool_calls": _echoed_tool_call_dicts('{"ssn": "[MASKED]"}')}  # noqa: E731
     monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(transform)])
@@ -1724,7 +1810,7 @@ async def test_streaming_iterator_hook_pipeline_withholds_runtime_tool_call_rewr
     data = _post_call_pipeline_data(step=step, stream=True)
     delivered: List[Any] = []
 
-    async def _drain() -> None:
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
         async for item in proxy_logging.async_post_call_streaming_iterator_hook(
             user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
             response=_async_chunk_iter(_tool_call_stream_chunks()),
@@ -1732,16 +1818,10 @@ async def test_streaming_iterator_hook_pipeline_withholds_runtime_tool_call_rewr
         ):
             delivered.append(item)
 
-    with pytest.raises(HTTPException) as info:
-        await _drain()
-
-    error = info.value.detail["error"]
-    assert delivered == []
-    assert info.value.status_code == 400
-    assert error["type"] == "guardrail_pipeline_error"
-    assert error["policies"] == ("response-governance",)
-    assert error["guardrails"] == ("gr-post",)
-    assert "stream=false" in error["message"]
+    assert len(delivered) == 2
+    assert delivered[0].choices[0].delta.tool_calls[0].function.arguments == '{"ssn": "123"}'
+    assert delivered[1].choices[0].finish_reason == "tool_calls"
+    assert any("'gr-post'" in message and "discarded" in message for message in _warnings(caplog))
 
 
 @pytest.mark.asyncio
@@ -1849,30 +1929,28 @@ async def test_streaming_iterator_hook_pipeline_releases_stream_echoed_in_anothe
 
 
 @pytest.mark.asyncio
-async def test_streaming_iterator_hook_pipeline_withholds_unresolvable_response_shape(
-    proxy_logging, make_user_api_key_auth, monkeypatch
+async def test_streaming_iterator_hook_pipeline_releases_originals_on_unresolvable_response_shape(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
 ):
     seen: Dict[str, Any] = {}
     monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     data = _post_call_pipeline_data(stream=True)
+    chunks = [object(), object()]
     delivered: List[Any] = []
 
-    async def _drain() -> None:
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
         async for item in proxy_logging.async_post_call_streaming_iterator_hook(
             user_api_key_dict=make_user_api_key_auth(),
-            response=_async_chunk_iter([object(), object()]),
+            response=_async_chunk_iter(chunks),
             request_data=data,
         ):
             delivered.append(item)
 
-    with pytest.raises(ProxyException) as info:
-        await _drain()
-
-    assert delivered == []
-    assert info.value.code == "500"
-    assert "withheld" in info.value.message
+    assert [item is chunk for item, chunk in zip(delivered, chunks)] == [True, True]
+    assert len(delivered) == 2
     assert seen.get("count") is None
+    assert any("response-governance" in message and "shape" in message for message in _warnings(caplog))
 
 
 def _anthropic_sse_chunks() -> List[bytes]:
@@ -1953,9 +2031,9 @@ async def test_streaming_iterator_hook_pipeline_delivers_text_rewrite_on_anthrop
 
 
 @pytest.mark.asyncio
-async def test_pipeline_executor_withholds_text_rewrite_when_translation_lacks_write_back(monkeypatch):
+async def test_pipeline_executor_discards_text_rewrite_when_translation_lacks_write_back(monkeypatch, caplog):
     from litellm.llms.base_llm.guardrail_translation.base_translation import BaseTranslation
-    from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor, UndeliverableStreamRewrite
+    from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor
 
     class NoWriteBackTranslation(BaseTranslation):
         async def process_input_messages(self, data, guardrail_to_apply, litellm_logging_obj):
@@ -1984,45 +2062,23 @@ async def test_pipeline_executor_withholds_text_rewrite_when_translation_lacks_w
 
     transform = lambda inputs: {"texts": ["hello [MASKED]"]}  # noqa: E731
     monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(transform)])
+    chunks = _stream_chunks()
 
-    with pytest.raises(UndeliverableStreamRewrite):
-        await PipelineExecutor.execute_steps(
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await PipelineExecutor.execute_steps(
             steps=[PipelineStep(guardrail="gr-post", on_pass="allow", on_fail="block")],
             mode="post_call",
             data={"metadata": {}},
             user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"),
             call_type="acompletion",
             policy_name="response-governance",
-            streaming_chunks=_stream_chunks(),
+            streaming_chunks=chunks,
             endpoint_translation=NoWriteBackTranslation(),
         )
 
-
-@pytest.mark.asyncio
-async def test_streaming_iterator_hook_pipeline_gates_without_iterator_overrides(
-    proxy_logging, make_user_api_key_auth, monkeypatch
-):
-    monkeypatch.setattr(litellm, "callbacks", [])
-    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
-    data = _post_call_pipeline_data(stream=True)
-    delivered: List[Any] = []
-
-    async def _drain() -> None:
-        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
-            user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
-            response=_async_chunk_iter(_stream_chunks()),
-            request_data=data,
-        ):
-            delivered.append(item)
-
-    with pytest.raises(HTTPException) as info:
-        await _drain()
-
-    assert delivered == []
-    assert info.value.status_code == 400
-    assert info.value.detail["error"]["pipeline_context"]["step_results"] == [
-        {"guardrail": "gr-post", "outcome": "error", "action": "block"}
-    ]
+    assert result.terminal_action == "allow"
+    assert [chunk.choices[0].delta.content for chunk in chunks] == ["hello ", "world"]
+    assert any("'gr-post'" in message and "discarded" in message for message in _warnings(caplog))
 
 
 @pytest.mark.asyncio

From 2f397fa12812afba555dbdeae407597e95968123 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:06:29 -0700
Subject: [PATCH 062/223] fix(drop_params): honor string flags in
 litellm_settings and responses, and fail open on non-flag values

---
 litellm/proxy/proxy_server.py                 |  3 ++
 litellm/responses/main.py                     |  5 ++-
 litellm/types/router.py                       |  6 ++-
 .../proxy/proxy_server/test_proxy_config.py   | 43 +++++++++++++++++++
 .../test_responses_api_request_body.py        |  4 +-
 tests/test_litellm/types/test_router.py       |  7 ++-
 6 files changed, 59 insertions(+), 9 deletions(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 0915b8dd1b9..76acd414976 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -279,6 +279,7 @@ from litellm.litellm_core_utils.audio_utils.utils import resolve_speech_media_ty
 from litellm.litellm_core_utils.core_helpers import (
     _get_parent_otel_span_from_kwargs,
     get_litellm_metadata_from_kwargs,
+    normalize_drop_params,
 )
 from litellm.litellm_core_utils.credential_accessor import CredentialAccessor
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
@@ -5508,6 +5509,8 @@ class ProxyConfig:
 
                     parse_budget_reset_time(value)
                     setattr(litellm, key, value)
+                elif key == "drop_params":
+                    litellm.drop_params = bool(normalize_drop_params(value))
                 else:
                     verbose_proxy_logger.debug(
                         "%s setting litellm.%s=%s%s",
diff --git a/litellm/responses/main.py b/litellm/responses/main.py
index 5e74b7324b4..52ca6ebb07a 100644
--- a/litellm/responses/main.py
+++ b/litellm/responses/main.py
@@ -17,6 +17,7 @@ from litellm.completion_extras.litellm_responses_transformation.transformation i
 from litellm.constants import request_timeout
 from litellm.integrations.anthropic_cache_control_hook import CARRY_UNMATCHED_MESSAGE_POINTS
 from litellm.litellm_core_utils.asyncify import run_async_function
+from litellm.litellm_core_utils.core_helpers import normalize_drop_params
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.litellm_core_utils.prompt_templates.common_utils import (
     update_responses_input_with_model_file_ids,
@@ -1253,7 +1254,7 @@ def responses(
             responses_api_provider_config=responses_api_provider_config,
             response_api_optional_params=response_api_optional_params,
             allowed_openai_params=allowed_openai_params,
-            drop_params=request_drop_params if isinstance(request_drop_params, bool) else None,
+            drop_params=normalize_drop_params(request_drop_params),
         )
 
         litellm_logging_obj.update_from_kwargs(
@@ -2081,7 +2082,7 @@ def compact_responses(
             responses_api_provider_config=responses_api_provider_config,
             response_api_optional_params=response_api_optional_params,
             allowed_openai_params=None,
-            drop_params=request_drop_params if isinstance(request_drop_params, bool) else None,
+            drop_params=normalize_drop_params(request_drop_params),
         )
 
         # Pre Call logging
diff --git a/litellm/types/router.py b/litellm/types/router.py
index 47aea6430c3..e8aec027a5e 100644
--- a/litellm/types/router.py
+++ b/litellm/types/router.py
@@ -408,9 +408,11 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams):
 
     @field_validator("drop_params", mode="before")
     @classmethod
-    def coerce_drop_params(cls, value: object) -> object:
+    def coerce_drop_params(cls, value: object) -> bool | str | None:
         normalized: Final = normalize_drop_params(value)
-        return value if normalized is None else normalized
+        if normalized is not None:
+            return normalized
+        return value if isinstance(value, str) else None
 
     def __contains__(self, key) -> bool:
         # Define custom behavior for the 'in' operator
diff --git a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
index a4be9574f89..c57cd387d13 100644
--- a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
+++ b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
@@ -2431,6 +2431,49 @@ def test_ProxyConfig__add_deployment_turns_stored_drop_params_string_into_bool(m
     assert deployment.litellm_params.drop_params is True
 
 
+def test_ProxyConfig__add_deployment_keeps_loading_rows_after_a_non_flag_drop_params(monkeypatch):
+    monkeypatch.setenv("LITELLM_SALT_KEY", "sk-1234")
+    fake_router = MagicMock()
+    fake_router.upsert_deployment = MagicMock(return_value=True)
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", fake_router)
+    pc = ProxyConfig()
+
+    def db_model(model_id, drop_params):
+        return SimpleNamespace(
+            model_id=model_id,
+            model_name="gpt-5-nano",
+            model_info={"id": model_id},
+            litellm_params={
+                "model": encrypt_value_helper(value="openai/gpt-5-nano"),
+                "drop_params": encrypt_value_helper(value=drop_params),
+            },
+            blocked=False,
+        )
+
+    added = pc._add_deployment(db_models=[db_model("bad-row", 2), db_model("good-after", "true")])
+    deployments = [call.kwargs["deployment"] for call in fake_router.upsert_deployment.call_args_list]
+
+    assert added == 2
+    assert [d.litellm_params.drop_params for d in deployments] == [None, True]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("configured, expected", [("true", True), ("false", False)])
+async def test_ProxyConfig_load_config_turns_litellm_settings_drop_params_string_into_bool(
+    tmp_path, monkeypatch, configured, expected
+):
+    f = tmp_path / "c.yaml"
+    f.write_text(f'model_list: []\nlitellm_settings:\n  drop_params: "{configured}"\n')
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None)
+    monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", False)
+    monkeypatch.delenv("LITELLM_CONFIG_BUCKET_NAME", raising=False)
+    monkeypatch.setattr(litellm, "drop_params", not expected)
+
+    await ProxyConfig().load_config(router=None, config_file_path=str(f))
+
+    assert litellm.drop_params is expected
+
+
 # ---------------------------------------------------------------------------
 # ProxyConfig.decrypt_model_list_from_db
 # ---------------------------------------------------------------------------
diff --git a/tests/test_litellm/responses/test_responses_api_request_body.py b/tests/test_litellm/responses/test_responses_api_request_body.py
index 3e60906ec6d..5fced458208 100644
--- a/tests/test_litellm/responses/test_responses_api_request_body.py
+++ b/tests/test_litellm/responses/test_responses_api_request_body.py
@@ -246,8 +246,10 @@ async def test_aresponses_keeps_include_obfuscation_in_stream_options():
 
 
 @pytest.mark.asyncio
+@pytest.mark.parametrize("drop_params", [True, "true"])
 async def test_aresponses_request_level_drop_params_drops_bedrock_mantle_service_tier(
     monkeypatch,
+    drop_params,
 ):
     """
     Request-level drop_params=True (as the proxy injects for agentic CLIs) must
@@ -271,7 +273,7 @@ async def test_aresponses_request_level_drop_params_drops_bedrock_mantle_service
             aws_region_name="us-east-1",
             input="hi",
             service_tier="priority",
-            drop_params=True,
+            drop_params=drop_params,
         )
 
         mock_post.assert_called_once()
diff --git a/tests/test_litellm/types/test_router.py b/tests/test_litellm/types/test_router.py
index 2f4a29473c3..47fc08167e3 100644
--- a/tests/test_litellm/types/test_router.py
+++ b/tests/test_litellm/types/test_router.py
@@ -1,5 +1,4 @@
 import pytest
-from pydantic import ValidationError
 
 from litellm.types.router import (
     SPECIAL_MODEL_INFO_PARAMS,
@@ -109,6 +108,6 @@ def test_drop_params_coerces_flags_and_keeps_unresolved_strings(value, expected)
     assert GenericLiteLLMParams(drop_params=value).drop_params == expected
 
 
-def test_drop_params_rejects_non_flag_non_string_values():
-    with pytest.raises(ValidationError):
-        GenericLiteLLMParams(drop_params=2)
+@pytest.mark.parametrize("value", [2, 2.5, [], {}])
+def test_drop_params_ignores_non_flag_non_string_values(value):
+    assert GenericLiteLLMParams(drop_params=value).drop_params is None

From 3b199cd3da3fc97a6a373a1247fb798fa2353ca1 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:11:58 -0700
Subject: [PATCH 063/223] fix(azure_ai): price seven Foundry catalog names and
 charge the model router fee once

Add cost map entries for azure_ai/gpt-chat-latest, codex-mini, whisper,
model-router, cohere-command-a, grok-4-20-reasoning, and
grok-4-20-non-reasoning, priced from the live Azure AI Foundry and Azure
OpenAI pricing pages and the Azure Retail Prices API.

Skip the model router flat fee when the response model is the router
entry itself, since the generic cost already priced that fee. Before,
azure_ai/model_router charged it twice.

Resolves LIT-3157
---
 litellm/llms/azure_ai/cost_calculator.py      |  76 +++-----
 ...odel_prices_and_context_window_backup.json | 130 +++++++++++++
 model_prices_and_context_window.json          | 130 +++++++++++++
 .../azure_ai/test_azure_ai_cost_calculator.py |  26 +++
 ...azure_ai_foundry_catalog_model_metadata.py | 176 ++++++++++++++++++
 5 files changed, 492 insertions(+), 46 deletions(-)
 create mode 100644 tests/test_litellm/test_azure_ai_foundry_catalog_model_metadata.py

diff --git a/litellm/llms/azure_ai/cost_calculator.py b/litellm/llms/azure_ai/cost_calculator.py
index 95f536296a2..141148f06e7 100644
--- a/litellm/llms/azure_ai/cost_calculator.py
+++ b/litellm/llms/azure_ai/cost_calculator.py
@@ -56,6 +56,27 @@ def calculate_azure_model_router_flat_cost(model: str, prompt_tokens: int) -> fl
     return 0.0
 
 
+ROUTER_FEE_ENTRY_NAMES: Final = frozenset({"model-router", "model_router"})
+
+
+def _prices_router_fee_itself(model: str) -> bool:
+    return model.lower().rsplit("/", 1)[-1] in ROUTER_FEE_ENTRY_NAMES
+
+
+def _base_cost_per_token(model: str, usage: Usage, service_tier: str | None) -> tuple[float, float] | None:
+    try:
+        return generic_cost_per_token(
+            model=model, usage=usage, custom_llm_provider="azure_ai", service_tier=service_tier
+        )
+    except Exception as e:
+        if not _is_azure_model_router(model):
+            raise
+        verbose_logger.debug(
+            "Azure AI Model Router: model '%s' not in cost map, calculating routing flat cost only. Error: %s", model, e
+        )
+        return None
+
+
 def cost_per_token(
     model: str,
     usage: Usage,
@@ -66,9 +87,9 @@ def cost_per_token(
     """
     Calculate the cost per token for Azure AI models.
 
-    For Azure AI Foundry Model Router:
-    - Adds a flat cost of $0.14 per million input tokens (from model_prices_and_context_window.json)
-    - Plus the cost of the actual model used (handled by generic_cost_per_token)
+    For Azure AI Foundry Model Router the routing fee (the azure_ai/model_router entry, $0.14 per
+    million input tokens) is added on top of the routed model's cost. When the response model is
+    the router entry itself, generic_cost_per_token has already charged that fee.
 
     Args:
         model: str, the model name without provider prefix (from response)
@@ -83,49 +104,12 @@ def cost_per_token(
         ValueError: If the model is not found in the cost map and cost cannot be calculated
             (except for Model Router models where we return just the routing flat cost)
     """
-    prompt_cost = 0.0
-    completion_cost = 0.0
-
-    # Determine if this was a model router request
-    # Check both the response model and the request model
     is_router_request: Final = _is_azure_model_router(model) or (
         request_model is not None and _is_azure_model_router(request_model)
     )
-
-    # Calculate base cost using generic cost calculator
-    # This may raise an exception if the model is not in the cost map
-    try:
-        prompt_cost, completion_cost = generic_cost_per_token(
-            model=model,
-            usage=usage,
-            custom_llm_provider="azure_ai",
-            service_tier=service_tier,
-        )
-    except Exception as e:
-        # For Model Router, the model name (e.g., "azure-model-router") may not be in the cost map
-        # because it's a routing service, not an actual model. In this case, we continue
-        # to calculate just the routing flat cost.
-        if not _is_azure_model_router(model):
-            # Re-raise for non-router models - they should have pricing defined
-            raise
-        verbose_logger.debug(
-            "Azure AI Model Router: model '%s' not in cost map, calculating routing flat cost only. Error: %s", model, e
-        )
-
-    # Add flat cost for Azure Model Router
-    # The flat cost is defined in model_prices_and_context_window.json for azure_ai/model_router
-    if is_router_request:
-        # Use the request model for flat cost calculation if available, otherwise use response model
-        router_model_for_calc: Final = request_model if request_model else model
-        router_flat_cost: Final = calculate_azure_model_router_flat_cost(router_model_for_calc, usage.prompt_tokens)
-
-        if router_flat_cost > 0:
-            verbose_logger.debug(
-                f"Azure AI Model Router flat cost: ${router_flat_cost:.6f} "
-                f"({usage.prompt_tokens} tokens × ${router_flat_cost / usage.prompt_tokens:.9f}/token)"
-            )
-
-            # Add flat cost to prompt cost
-            prompt_cost += router_flat_cost
-
-    return prompt_cost, completion_cost
+    base_cost: Final = _base_cost_per_token(model=model, usage=usage, service_tier=service_tier)
+    prompt_cost, completion_cost = base_cost if base_cost is not None else (0.0, 0.0)
+    if not is_router_request or (base_cost is not None and _prices_router_fee_itself(model)):
+        return prompt_cost, completion_cost
+    router_flat_cost: Final = calculate_azure_model_router_flat_cost(request_model or model, usage.prompt_tokens)
+    return prompt_cost + router_flat_cost, completion_cost
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index b1ffc1583e4..6649fa831d7 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -3581,6 +3581,82 @@
         "supports_xhigh_reasoning_effort": true,
         "supports_minimal_reasoning_effort": false
     },
+    "azure_ai/gpt-chat-latest": {
+        "cache_read_input_token_cost": 5e-07,
+        "deprecation_date": "2026-12-02",
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 3e-05,
+        "reasoning_effort_levels": [
+            "medium"
+        ],
+        "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/",
+        "supported_endpoints": [
+            "/v1/chat/completions",
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
+    "azure_ai/codex-mini": {
+        "cache_read_input_token_cost": 3.75e-07,
+        "deprecation_date": "2026-11-15",
+        "input_cost_per_token": 1.5e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 100000,
+        "max_tokens": 100000,
+        "mode": "responses",
+        "output_cost_per_token": 6e-06,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/",
+        "supported_endpoints": [
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true
+    },
+    "azure_ai/whisper": {
+        "deprecation_date": "2026-12-15",
+        "input_cost_per_second": 0.0001,
+        "litellm_provider": "azure_ai",
+        "mode": "audio_transcription",
+        "output_cost_per_second": 0.0001,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/"
+    },
     "azure_ai/gpt-5.5-2026-04-23": {
         "cache_read_input_token_cost": 5e-07,
         "cache_read_input_token_cost_above_272k_tokens": 1e-06,
@@ -3991,6 +4067,17 @@
         "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/",
         "comment": "Flat cost of $0.14 per M input tokens for Azure AI Foundry Model Router infrastructure. Use pattern: azure_ai/model_router/<deployment-name> where deployment-name is your Azure deployment (e.g., azure-model-router)"
     },
+    "azure_ai/model-router": {
+        "input_cost_per_token": 1.4e-07,
+        "output_cost_per_token": 0,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 32768,
+        "max_tokens": 32768,
+        "mode": "chat",
+        "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/",
+        "comment": "Catalog-name twin of azure_ai/model_router: the flat $0.14 per M input tokens is the router's own fee, the routed model is priced on top of it"
+    },
     "azure/eu/gpt-4o-2024-08-06": {
         "deprecation_date": "2027-04-14",
         "cache_read_input_token_cost": 1.375e-06,
@@ -10302,6 +10389,18 @@
             "/v1/ocr"
         ]
     },
+    "azure_ai/cohere-command-a": {
+        "input_cost_per_token": 2.5e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 4096,
+        "max_tokens": 4096,
+        "mode": "chat",
+        "output_cost_per_token": 1e-05,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/cohere/",
+        "supports_function_calling": true,
+        "supports_tool_choice": true
+    },
     "azure_ai/doc-intelligence/prebuilt-read": {
         "litellm_provider": "azure_ai",
         "ocr_cost_per_page": 0.0015,
@@ -10653,6 +10752,37 @@
         "supports_vision": true,
         "supports_web_search": true
     },
+    "azure_ai/grok-4-20-reasoning": {
+        "input_cost_per_token": 1.25e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 262000,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-06,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/",
+        "supports_function_calling": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true,
+        "supports_reasoning": true
+    },
+    "azure_ai/grok-4-20-non-reasoning": {
+        "input_cost_per_token": 1.25e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 262000,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-06,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/",
+        "supports_function_calling": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
     "azure_ai/grok-4-fast-non-reasoning": {
         "deprecation_date": "2026-05-01",
         "input_cost_per_token": 2e-07,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index b1ffc1583e4..6649fa831d7 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -3581,6 +3581,82 @@
         "supports_xhigh_reasoning_effort": true,
         "supports_minimal_reasoning_effort": false
     },
+    "azure_ai/gpt-chat-latest": {
+        "cache_read_input_token_cost": 5e-07,
+        "deprecation_date": "2026-12-02",
+        "input_cost_per_token": 5e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "chat",
+        "output_cost_per_token": 3e-05,
+        "reasoning_effort_levels": [
+            "medium"
+        ],
+        "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/",
+        "supported_endpoints": [
+            "/v1/chat/completions",
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
+    "azure_ai/codex-mini": {
+        "cache_read_input_token_cost": 3.75e-07,
+        "deprecation_date": "2026-11-15",
+        "input_cost_per_token": 1.5e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 100000,
+        "max_tokens": 100000,
+        "mode": "responses",
+        "output_cost_per_token": 6e-06,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/",
+        "supported_endpoints": [
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_parallel_function_calling": true,
+        "supports_pdf_input": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true
+    },
+    "azure_ai/whisper": {
+        "deprecation_date": "2026-12-15",
+        "input_cost_per_second": 0.0001,
+        "litellm_provider": "azure_ai",
+        "mode": "audio_transcription",
+        "output_cost_per_second": 0.0001,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/"
+    },
     "azure_ai/gpt-5.5-2026-04-23": {
         "cache_read_input_token_cost": 5e-07,
         "cache_read_input_token_cost_above_272k_tokens": 1e-06,
@@ -3991,6 +4067,17 @@
         "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/",
         "comment": "Flat cost of $0.14 per M input tokens for Azure AI Foundry Model Router infrastructure. Use pattern: azure_ai/model_router/<deployment-name> where deployment-name is your Azure deployment (e.g., azure-model-router)"
     },
+    "azure_ai/model-router": {
+        "input_cost_per_token": 1.4e-07,
+        "output_cost_per_token": 0,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 32768,
+        "max_tokens": 32768,
+        "mode": "chat",
+        "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/",
+        "comment": "Catalog-name twin of azure_ai/model_router: the flat $0.14 per M input tokens is the router's own fee, the routed model is priced on top of it"
+    },
     "azure/eu/gpt-4o-2024-08-06": {
         "deprecation_date": "2027-04-14",
         "cache_read_input_token_cost": 1.375e-06,
@@ -10302,6 +10389,18 @@
             "/v1/ocr"
         ]
     },
+    "azure_ai/cohere-command-a": {
+        "input_cost_per_token": 2.5e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 131072,
+        "max_output_tokens": 4096,
+        "max_tokens": 4096,
+        "mode": "chat",
+        "output_cost_per_token": 1e-05,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/cohere/",
+        "supports_function_calling": true,
+        "supports_tool_choice": true
+    },
     "azure_ai/doc-intelligence/prebuilt-read": {
         "litellm_provider": "azure_ai",
         "ocr_cost_per_page": 0.0015,
@@ -10653,6 +10752,37 @@
         "supports_vision": true,
         "supports_web_search": true
     },
+    "azure_ai/grok-4-20-reasoning": {
+        "input_cost_per_token": 1.25e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 262000,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-06,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/",
+        "supports_function_calling": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true,
+        "supports_reasoning": true
+    },
+    "azure_ai/grok-4-20-non-reasoning": {
+        "input_cost_per_token": 1.25e-06,
+        "litellm_provider": "azure_ai",
+        "max_input_tokens": 262000,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-06,
+        "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/",
+        "supports_function_calling": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
     "azure_ai/grok-4-fast-non-reasoning": {
         "deprecation_date": "2026-05-01",
         "input_cost_per_token": 2e-07,
diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
index 9612d97d946..80cd99bd46b 100644
--- a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
@@ -528,3 +528,29 @@ def test_mai_thinking_1_model_info_and_cost(local_model_cost_map):
     assert model_info["supports_function_calling"] is True
     assert prompt_cost == pytest.approx(2.0)
     assert completion_cost == pytest.approx(8.0)
+
+
+@pytest.mark.usefixtures("local_model_cost_map")
+@pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"])
+def test_router_entry_as_response_model_charges_the_fee_once(router_entry_name: str) -> None:
+    usage = Usage(prompt_tokens=1_000_000, completion_tokens=0, total_tokens=1_000_000)
+    prompt_cost, completion_cost = cost_per_token(model=router_entry_name, usage=usage)
+    assert prompt_cost == pytest.approx(0.14, rel=1e-9)
+    assert completion_cost == 0.0
+
+
+@pytest.mark.usefixtures("local_model_cost_map")
+def test_unmapped_router_deployment_name_still_charges_the_fee() -> None:
+    usage = Usage(prompt_tokens=1_000_000, completion_tokens=0, total_tokens=1_000_000)
+    prompt_cost, completion_cost = cost_per_token(model="azure-model-router", usage=usage)
+    assert prompt_cost == pytest.approx(0.14, rel=1e-9)
+    assert completion_cost == 0.0
+
+
+@pytest.mark.usefixtures("local_model_cost_map")
+def test_routed_model_response_adds_the_fee_on_top() -> None:
+    usage = Usage(prompt_tokens=1_000_000, completion_tokens=0, total_tokens=1_000_000)
+    routed_prompt_cost, _ = cost_per_token(model="gpt-5-nano", usage=usage)
+    prompt_cost, _ = cost_per_token(model="gpt-5-nano", usage=usage, request_model="azure_ai/model-router")
+    assert routed_prompt_cost > 0
+    assert prompt_cost == pytest.approx(routed_prompt_cost + 0.14, rel=1e-9)
diff --git a/tests/test_litellm/test_azure_ai_foundry_catalog_model_metadata.py b/tests/test_litellm/test_azure_ai_foundry_catalog_model_metadata.py
new file mode 100644
index 00000000000..9c5ca26a89c
--- /dev/null
+++ b/tests/test_litellm/test_azure_ai_foundry_catalog_model_metadata.py
@@ -0,0 +1,176 @@
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Final
+
+import pytest
+from pydantic import TypeAdapter
+
+from litellm import cost_per_token, get_model_info
+from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+
+REPO_ROOT: Final = Path(__file__).parents[2]
+COST_MAP_ADAPTER: Final = TypeAdapter(dict[str, dict[str, object]])
+AZURE_OPENAI_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/"
+FOUNDRY_AOAI_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/"
+FOUNDRY_COHERE_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/cohere/"
+FOUNDRY_GROK_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/"
+
+
+@dataclass(frozen=True, slots=True)
+class TokenPricedCatalogModel:
+    catalog_name: str
+    mode: str
+    source: str
+    input_cost_per_token: float
+    output_cost_per_token: float
+    max_input_tokens: int
+    max_output_tokens: int
+    cache_read_input_token_cost: float | None
+    supported_flags: tuple[str, ...]
+
+
+TOKEN_PRICED_MODELS: Final = (
+    TokenPricedCatalogModel(
+        catalog_name="gpt-chat-latest",
+        mode="chat",
+        source=AZURE_OPENAI_PRICING,
+        input_cost_per_token=5e-06,
+        output_cost_per_token=3e-05,
+        max_input_tokens=200000,
+        max_output_tokens=128000,
+        cache_read_input_token_cost=5e-07,
+        supported_flags=(
+            "supports_function_calling",
+            "supports_prompt_caching",
+            "supports_reasoning",
+            "supports_response_schema",
+            "supports_tool_choice",
+            "supports_vision",
+            "supports_web_search",
+        ),
+    ),
+    TokenPricedCatalogModel(
+        catalog_name="codex-mini",
+        mode="responses",
+        source=AZURE_OPENAI_PRICING,
+        input_cost_per_token=1.5e-06,
+        output_cost_per_token=6e-06,
+        max_input_tokens=200000,
+        max_output_tokens=100000,
+        cache_read_input_token_cost=3.75e-07,
+        supported_flags=("supports_function_calling", "supports_prompt_caching", "supports_reasoning", "supports_vision"),
+    ),
+    TokenPricedCatalogModel(
+        catalog_name="model-router",
+        mode="chat",
+        source=FOUNDRY_AOAI_PRICING,
+        input_cost_per_token=1.4e-07,
+        output_cost_per_token=0.0,
+        max_input_tokens=1048576,
+        max_output_tokens=32768,
+        cache_read_input_token_cost=None,
+        supported_flags=(),
+    ),
+    TokenPricedCatalogModel(
+        catalog_name="cohere-command-a",
+        mode="chat",
+        source=FOUNDRY_COHERE_PRICING,
+        input_cost_per_token=2.5e-06,
+        output_cost_per_token=1e-05,
+        max_input_tokens=131072,
+        max_output_tokens=4096,
+        cache_read_input_token_cost=None,
+        supported_flags=("supports_function_calling", "supports_tool_choice"),
+    ),
+    TokenPricedCatalogModel(
+        catalog_name="grok-4-20-reasoning",
+        mode="chat",
+        source=FOUNDRY_GROK_PRICING,
+        input_cost_per_token=1.25e-06,
+        output_cost_per_token=2.5e-06,
+        max_input_tokens=262000,
+        max_output_tokens=8192,
+        cache_read_input_token_cost=None,
+        supported_flags=(
+            "supports_function_calling",
+            "supports_reasoning",
+            "supports_response_schema",
+            "supports_tool_choice",
+            "supports_vision",
+            "supports_web_search",
+        ),
+    ),
+    TokenPricedCatalogModel(
+        catalog_name="grok-4-20-non-reasoning",
+        mode="chat",
+        source=FOUNDRY_GROK_PRICING,
+        input_cost_per_token=1.25e-06,
+        output_cost_per_token=2.5e-06,
+        max_input_tokens=262000,
+        max_output_tokens=8192,
+        cache_read_input_token_cost=None,
+        supported_flags=(
+            "supports_function_calling",
+            "supports_response_schema",
+            "supports_tool_choice",
+            "supports_vision",
+            "supports_web_search",
+        ),
+    ),
+)
+CATALOG_NAMES: Final = tuple(spec.catalog_name for spec in TOKEN_PRICED_MODELS) + ("whisper",)
+
+
+def _cost_map_entry(path: Path, catalog_name: str) -> dict[str, object]:
+    return COST_MAP_ADAPTER.validate_json(path.read_bytes())[f"azure_ai/{catalog_name}"]
+
+
+@pytest.mark.usefixtures("local_model_cost_map")
+@pytest.mark.parametrize("spec", TOKEN_PRICED_MODELS, ids=lambda spec: spec.catalog_name)
+def test_azure_ai_catalog_name_is_priced_and_routed(spec: TokenPricedCatalogModel) -> None:
+    routed_model, provider, _, _ = get_llm_provider(model=f"azure_ai/{spec.catalog_name}")
+    assert (routed_model, provider) == (spec.catalog_name, "azure_ai")
+
+    info = get_model_info(model=routed_model, custom_llm_provider=provider)
+    assert info["litellm_provider"] == "azure_ai"
+    assert info["mode"] == spec.mode
+    assert info["input_cost_per_token"] == spec.input_cost_per_token
+    assert info["output_cost_per_token"] == spec.output_cost_per_token
+    assert info["cache_read_input_token_cost"] == spec.cache_read_input_token_cost
+    assert info["max_input_tokens"] == spec.max_input_tokens
+    assert info["max_output_tokens"] == spec.max_output_tokens
+    assert info["max_tokens"] == spec.max_output_tokens
+    for flag in spec.supported_flags:
+        assert info[flag] is True, flag
+
+
+@pytest.mark.usefixtures("local_model_cost_map")
+@pytest.mark.parametrize(
+    "spec", [spec for spec in TOKEN_PRICED_MODELS if spec.catalog_name != "model-router"], ids=lambda spec: spec.catalog_name
+)
+def test_azure_ai_catalog_name_costs_a_million_tokens_at_list_price(spec: TokenPricedCatalogModel) -> None:
+    prompt_cost, completion_cost = cost_per_token(
+        model=f"azure_ai/{spec.catalog_name}", prompt_tokens=1_000_000, completion_tokens=1_000_000
+    )
+    assert prompt_cost == pytest.approx(spec.input_cost_per_token * 1_000_000)
+    assert completion_cost == pytest.approx(spec.output_cost_per_token * 1_000_000)
+
+
+@pytest.mark.usefixtures("local_model_cost_map")
+def test_azure_ai_whisper_catalog_name_is_priced_per_second() -> None:
+    routed_model, provider, _, _ = get_llm_provider(model="azure_ai/whisper")
+    assert (routed_model, provider) == ("whisper", "azure_ai")
+
+    info = get_model_info(model=routed_model, custom_llm_provider=provider)
+    assert info["mode"] == "audio_transcription"
+    assert info["input_cost_per_second"] == 0.0001
+    assert info["output_cost_per_second"] == 0.0001
+
+
+@pytest.mark.parametrize("catalog_name", CATALOG_NAMES)
+def test_azure_ai_catalog_entry_source_and_backup_match(catalog_name: str) -> None:
+    main_entry = _cost_map_entry(REPO_ROOT / "model_prices_and_context_window.json", catalog_name)
+    backup_entry = _cost_map_entry(REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json", catalog_name)
+
+    assert str(main_entry["source"]).startswith("https://azure.microsoft.com/en-us/pricing/details/")
+    assert backup_entry == main_entry

From 86790a7723892c338ea3fcc680296a721c7fc47f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:20:28 -0700
Subject: [PATCH 064/223] fix(bedrock): bill Marengo embeddings per request
 instead of per estimated token

AWS prices Marengo 2.7 and 3.0 text and image embeddings per request, never per
token, and their responses carry no token count. The old transform estimated
prompt tokens from the vector length, which billed a text request at 128 tokens
times the per-token rate (0.00896 instead of 0.00007). Marengo responses now
report zero tokens with query_count and image_count derived from the request
batch, and all six Marengo cost-map entries price per request (with the video
and audio per-second and per-image rates on the base entries). query_count is a
new prompt_tokens_details field wired to input_cost_per_query in the cost
calculator.
---
 .../litellm_core_utils/llm_cost_calc/utils.py |  10 ++
 litellm/llms/bedrock/embed/embedding.py       |   2 +-
 .../twelvelabs_marengo_transformation.py      | 142 +++++++++++-------
 ...odel_prices_and_context_window_backup.json |  18 ++-
 litellm/types/utils.py                        |   7 +-
 litellm/utils.py                              |   2 +-
 model_prices_and_context_window.json          |  18 ++-
 .../llm_cost_calc/test_llm_cost_calc_utils.py |  32 ++++
 .../bedrock/embed/test_bedrock_embedding.py   |  47 +++++-
 ..._bedrock_marengo_embed_3_model_metadata.py |  45 +++++-
 10 files changed, 240 insertions(+), 83 deletions(-)

diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 68dc27ec25e..46574ebae3f 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -780,6 +780,7 @@ class PromptTokensDetailsResult(TypedDict):
     image_count: int
     video_length_seconds: float
     audio_length_seconds: float
+    query_count: int
 
 
 def parse_prompt_tokens_details(usage: Usage) -> PromptTokensDetailsResult:
@@ -828,6 +829,7 @@ def parse_prompt_tokens_details(usage: Usage) -> PromptTokensDetailsResult:
         )
         or 0.0
     )
+    query_count: Final = _coerce_token_count(getattr(usage.prompt_tokens_details, "query_count", 0))
 
     return PromptTokensDetailsResult(
         cache_hit_tokens=cache_hit_tokens,
@@ -841,6 +843,7 @@ def parse_prompt_tokens_details(usage: Usage) -> PromptTokensDetailsResult:
         image_count=image_count,
         video_length_seconds=float(video_length_seconds),
         audio_length_seconds=float(audio_length_seconds),
+        query_count=query_count,
     )
 
 
@@ -978,6 +981,12 @@ def _calculate_input_cost(
             prompt_tokens_details["audio_length_seconds"],
         )
 
+    ### QUERY COUNT COST
+    if prompt_tokens_details["query_count"]:
+        prompt_cost += calculate_cost_component(
+            model_info, "input_cost_per_query", prompt_tokens_details["query_count"]
+        )
+
     return prompt_cost
 
 
@@ -1149,6 +1158,7 @@ def generic_cost_per_token(
         image_count=0,
         video_length_seconds=0.0,
         audio_length_seconds=0.0,
+        query_count=0,
     )
     if usage.prompt_tokens_details:
         prompt_tokens_details = parse_prompt_tokens_details(usage)
diff --git a/litellm/llms/bedrock/embed/embedding.py b/litellm/llms/bedrock/embed/embedding.py
index ab27afcf817..69eb9b693b1 100644
--- a/litellm/llms/bedrock/embed/embedding.py
+++ b/litellm/llms/bedrock/embed/embedding.py
@@ -229,7 +229,7 @@ class BedrockEmbedding(BaseAWSLLM):
                 returned_response = AmazonTitanG1Config()._transform_response(response_list=response_list, model=model)
             elif provider == "twelvelabs":
                 returned_response = TwelveLabsMarengoEmbeddingConfig()._transform_response(
-                    response_list=response_list, model=model
+                    response_list=response_list, model=model, batch_data=batch_data
                 )
             elif provider == "nova":
                 returned_response = AmazonNovaEmbeddingConfig()._transform_response(
diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
index 79b5825d2eb..ddf6dfbcc4d 100644
--- a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
+++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
@@ -7,14 +7,19 @@ Docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-mar
 Marengo 3.0 docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-marengo-3.html
 """
 
+from collections.abc import Mapping
 from typing import Final, cast
 
+from pydantic import BaseModel, ConfigDict, TypeAdapter
+from typing_extensions import assert_never
+
 from litellm.llms.bedrock.embed.twelvelabs_marengo_3_transformation import (
     build_marengo_3_request,
     is_marengo_3_model,
 )
 from litellm.types.llms.bedrock import (
     TWELVELABS_EMBEDDING_INPUT_TYPES,
+    TWELVELABS_MARENGO_3_INPUT_TYPES,
     TwelveLabsAsyncInvokeRequest,
     TwelveLabsMarengo3EmbeddingRequest,
     TwelveLabsMarengoEmbeddingRequest,
@@ -22,7 +27,76 @@ from litellm.types.llms.bedrock import (
     TwelveLabsS3Location,
     TwelveLabsS3OutputDataConfig,
 )
-from litellm.types.utils import Embedding, EmbeddingResponse, Usage
+from litellm.types.utils import Embedding, EmbeddingResponse, PromptTokensDetailsWrapper, Usage
+
+
+class MarengoEmbeddingItem(BaseModel):
+    model_config = ConfigDict(extra="ignore", frozen=True)
+
+    embedding: tuple[float, ...]
+
+
+class MarengoInvokeResponse(BaseModel):
+    model_config = ConfigDict(extra="ignore", frozen=True)
+
+    data: tuple[MarengoEmbeddingItem, ...] = ()
+    embedding: tuple[float, ...] | None = None
+    embeddings: tuple[MarengoEmbeddingItem, ...] = ()
+
+    def vectors(self) -> tuple[tuple[float, ...], ...]:
+        if self.data:
+            return tuple(item.embedding for item in self.data)
+        if self.embedding is not None:
+            return (self.embedding,)
+        return tuple(item.embedding for item in self.embeddings)
+
+
+class MarengoBilledMultiInput(BaseModel):
+    model_config = ConfigDict(extra="ignore", frozen=True)
+
+    inputText: str | None = None
+    mediaSources: tuple[Mapping[str, object], ...] = ()
+
+
+class MarengoBilledRequest(BaseModel):
+    model_config = ConfigDict(extra="ignore", frozen=True)
+
+    inputType: TWELVELABS_MARENGO_3_INPUT_TYPES | None = None
+    multi_input: MarengoBilledMultiInput | None = None
+
+
+INVOKE_RESPONSES: Final = TypeAdapter(tuple[MarengoInvokeResponse, ...])
+BILLED_REQUESTS: Final = TypeAdapter(tuple[MarengoBilledRequest, ...])
+
+
+def _billed_units(request: MarengoBilledRequest) -> tuple[int, int]:
+    input_type: Final = request.inputType
+    match input_type:
+        case "text":
+            return (1, 0)
+        case "image":
+            return (0, 1)
+        case "text_image":
+            return (1, 1)
+        case "multi_input":
+            multi_input: Final = request.multi_input or MarengoBilledMultiInput()
+            return (1 if multi_input.inputText else 0, len(multi_input.mediaSources))
+        case "video" | "audio" | None:
+            return (0, 0)
+        case _:
+            assert_never(input_type)
+
+
+def _billed_usage(batch_data: list[dict] | None) -> Usage:
+    units: Final = tuple(_billed_units(request) for request in BILLED_REQUESTS.validate_python(batch_data or ()))
+    query_count: Final = sum(text_requests for text_requests, _ in units)
+    image_count: Final = sum(images for _, images in units)
+    details: Final = (
+        PromptTokensDetailsWrapper(query_count=query_count or None, image_count=image_count or None)
+        if query_count or image_count
+        else None
+    )
+    return Usage(prompt_tokens=0, completion_tokens=0, total_tokens=0, prompt_tokens_details=details)
 
 
 class TwelveLabsMarengoEmbeddingConfig:
@@ -223,62 +297,16 @@ class TwelveLabsMarengoEmbeddingConfig:
             ),
         )
 
-    def _transform_response(self, response_list: list[dict], model: str) -> EmbeddingResponse:
-        """
-        Transform TwelveLabs response to OpenAI format.
-        Handles the actual TwelveLabs response format: {"data": [{"embedding": [...]}]}
-        """
-        embeddings: Final[list[Embedding]] = []
-        total_tokens = 0
-
-        for response in response_list:
-            # TwelveLabs response format has a "data" field containing the embeddings
-            if "data" in response and isinstance(response["data"], list):
-                for item in response["data"]:
-                    if "embedding" in item:
-                        # Single embedding response
-                        embedding = Embedding(
-                            embedding=item["embedding"],
-                            index=len(embeddings),
-                            object="embedding",
-                        )
-                        embeddings.append(embedding)
-
-                        # Estimate token count (rough approximation)
-                        if "inputTextTokenCount" in item:
-                            total_tokens += item["inputTextTokenCount"]
-                        else:
-                            # Rough estimate: 1 token per 4 characters for text, or use embedding size
-                            total_tokens += len(item["embedding"]) // 4
-            elif "embedding" in response:
-                # Direct embedding response (fallback for other formats)
-                embedding = Embedding(
-                    embedding=response["embedding"],
-                    index=len(embeddings),
-                    object="embedding",
-                )
-                embeddings.append(embedding)
-
-                # Estimate token count (rough approximation)
-                if "inputTextTokenCount" in response:
-                    total_tokens += response["inputTextTokenCount"]
-                else:
-                    # Rough estimate: 1 token per 4 characters for text
-                    total_tokens += len(response.get("inputText", "")) // 4
-            elif "embeddings" in response:
-                # Multiple embeddings response (from video/audio)
-                for i, emb in enumerate(response["embeddings"]):
-                    embedding = Embedding(
-                        embedding=emb["embedding"],
-                        index=len(embeddings),
-                        object="embedding",
-                    )
-                    embeddings.append(embedding)
-                    total_tokens += len(emb["embedding"]) // 4  # Rough estimate
-
-        usage: Final = Usage(prompt_tokens=total_tokens, total_tokens=total_tokens)
-
-        return EmbeddingResponse(data=embeddings, model=model, usage=usage)
+    def _transform_response(
+        self, response_list: list[dict], model: str, batch_data: list[dict] | None = None
+    ) -> EmbeddingResponse:
+        vectors: Final = tuple(
+            vector for response in INVOKE_RESPONSES.validate_python(response_list) for vector in response.vectors()
+        )
+        embeddings: Final = [
+            Embedding(embedding=list(vector), index=index, object="embedding") for index, vector in enumerate(vectors)
+        ]
+        return EmbeddingResponse(data=embeddings, model=model, usage=_billed_usage(batch_data))
 
     def _transform_async_invoke_response(self, response: dict, model: str) -> EmbeddingResponse:
         """
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index cc75354a495..7784ed2a6ac 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -650,7 +650,10 @@
     },
     "twelvelabs.marengo-embed-2-7-v1:0": {
         "deprecation_date": "2026-11-30",
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
+        "input_cost_per_video_per_second": 0.0007,
+        "input_cost_per_audio_per_second": 0.00014,
+        "input_cost_per_image": 0.0001,
         "litellm_provider": "bedrock",
         "max_input_tokens": 77,
         "max_tokens": 77,
@@ -662,7 +665,7 @@
     },
     "us.twelvelabs.marengo-embed-2-7-v1:0": {
         "deprecation_date": "2026-11-30",
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
         "input_cost_per_video_per_second": 0.0007,
         "input_cost_per_audio_per_second": 0.00014,
         "input_cost_per_image": 0.0001,
@@ -677,7 +680,7 @@
     },
     "eu.twelvelabs.marengo-embed-2-7-v1:0": {
         "deprecation_date": "2026-11-30",
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
         "input_cost_per_video_per_second": 0.0007,
         "input_cost_per_audio_per_second": 0.00014,
         "input_cost_per_image": 0.0001,
@@ -691,7 +694,10 @@
         "supports_image_input": true
     },
     "twelvelabs.marengo-embed-3-0-v1:0": {
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
+        "input_cost_per_video_per_second": 0.0007,
+        "input_cost_per_audio_per_second": 0.00014,
+        "input_cost_per_image": 0.0001,
         "litellm_provider": "bedrock",
         "max_input_tokens": 500,
         "max_tokens": 500,
@@ -702,7 +708,7 @@
         "supports_image_input": true
     },
     "us.twelvelabs.marengo-embed-3-0-v1:0": {
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
         "input_cost_per_video_per_second": 0.0007,
         "input_cost_per_audio_per_second": 0.00014,
         "input_cost_per_image": 0.0001,
@@ -716,7 +722,7 @@
         "supports_image_input": true
     },
     "eu.twelvelabs.marengo-embed-3-0-v1:0": {
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
         "input_cost_per_video_per_second": 0.0007,
         "input_cost_per_audio_per_second": 0.00014,
         "input_cost_per_image": 0.0001,
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 9b5fb08a45f..c55eb6831c7 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -272,7 +272,7 @@ class ModelInfoBase(ProviderSpecificModelInfo, total=False):
     input_cost_per_token_above_272k_tokens_flex: float | None
     input_cost_per_token_above_512k_tokens: float | None  # MiniMax-M3: prompts >512K priced at 2x input
     input_cost_per_character_above_128k_tokens: float | None  # only for vertex ai models
-    input_cost_per_query: float | None  # only for rerank models
+    input_cost_per_query: float | None  # per-request pricing: rerank, search, and Bedrock Marengo embeddings
     input_cost_per_image: float | None  # only for vertex ai models
     input_cost_per_image_token: float | None  # for gpt-image-1 and similar models
     input_cost_per_video_token: float | None  # for gemini omni models with video input
@@ -1693,6 +1693,9 @@ class PromptTokensDetailsWrapper(
     audio_length_seconds: float | None = None
     """Length of audio sent to the model. Used for multimodal embeddings priced per audio-second."""
 
+    query_count: int | None = None
+    """Number of billable requests sent to the model. Used for embeddings priced per request, such as Bedrock Marengo."""
+
     cache_write_tokens: int | None = None
     """Number of cache write (creation) tokens sent to the model. OpenAI naming (prompt_tokens_details.cache_write_tokens); this is the canonical field."""
 
@@ -1734,6 +1737,8 @@ class PromptTokensDetailsWrapper(
             del self.video_length_seconds
         if self.audio_length_seconds is None:
             del self.audio_length_seconds
+        if self.query_count is None:
+            del self.query_count
         if self.web_search_requests is None:
             del self.web_search_requests
         if self.google_maps_grounding_requests is None:
diff --git a/litellm/utils.py b/litellm/utils.py
index b98aa821ff3..2ed1ad84e9c 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -6033,7 +6033,7 @@ def get_model_info(
             input_cost_per_character_above_128k_tokens: Optional[
                 float
             ]  # only for vertex ai models
-            input_cost_per_query: Optional[float] # only for rerank models
+            input_cost_per_query: Optional[float] # per-request pricing: rerank, search, and Bedrock Marengo embeddings
             input_cost_per_image: Optional[float]  # only for vertex ai models
             input_cost_per_audio_token: Optional[float]
             input_cost_per_audio_per_second: Optional[float]  # only for vertex ai models
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index cc75354a495..7784ed2a6ac 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -650,7 +650,10 @@
     },
     "twelvelabs.marengo-embed-2-7-v1:0": {
         "deprecation_date": "2026-11-30",
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
+        "input_cost_per_video_per_second": 0.0007,
+        "input_cost_per_audio_per_second": 0.00014,
+        "input_cost_per_image": 0.0001,
         "litellm_provider": "bedrock",
         "max_input_tokens": 77,
         "max_tokens": 77,
@@ -662,7 +665,7 @@
     },
     "us.twelvelabs.marengo-embed-2-7-v1:0": {
         "deprecation_date": "2026-11-30",
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
         "input_cost_per_video_per_second": 0.0007,
         "input_cost_per_audio_per_second": 0.00014,
         "input_cost_per_image": 0.0001,
@@ -677,7 +680,7 @@
     },
     "eu.twelvelabs.marengo-embed-2-7-v1:0": {
         "deprecation_date": "2026-11-30",
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
         "input_cost_per_video_per_second": 0.0007,
         "input_cost_per_audio_per_second": 0.00014,
         "input_cost_per_image": 0.0001,
@@ -691,7 +694,10 @@
         "supports_image_input": true
     },
     "twelvelabs.marengo-embed-3-0-v1:0": {
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
+        "input_cost_per_video_per_second": 0.0007,
+        "input_cost_per_audio_per_second": 0.00014,
+        "input_cost_per_image": 0.0001,
         "litellm_provider": "bedrock",
         "max_input_tokens": 500,
         "max_tokens": 500,
@@ -702,7 +708,7 @@
         "supports_image_input": true
     },
     "us.twelvelabs.marengo-embed-3-0-v1:0": {
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
         "input_cost_per_video_per_second": 0.0007,
         "input_cost_per_audio_per_second": 0.00014,
         "input_cost_per_image": 0.0001,
@@ -716,7 +722,7 @@
         "supports_image_input": true
     },
     "eu.twelvelabs.marengo-embed-3-0-v1:0": {
-        "input_cost_per_token": 7e-05,
+        "input_cost_per_query": 7e-05,
         "input_cost_per_video_per_second": 0.0007,
         "input_cost_per_audio_per_second": 0.00014,
         "input_cost_per_image": 0.0001,
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
index 59f0938e338..65a6dd2a4ca 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
@@ -2658,6 +2658,7 @@ def test_cache_writing_cost_with_zero_creation_tokens_and_ephemeral_details():
         "image_count": 0,
         "video_length_seconds": 0.0,
         "audio_length_seconds": 0.0,
+        "query_count": 0,
     }
 
     model_info: ModelInfo = {}
@@ -3239,6 +3240,37 @@ def test_image_count_prevents_text_tokens_fallback(_local_model_cost_map):
     assert completion_cost == 0.0
 
 
+def test_query_count_bills_input_cost_per_query(_local_model_cost_map):
+    usage = Usage(
+        prompt_tokens=0,
+        completion_tokens=0,
+        total_tokens=0,
+        prompt_tokens_details=PromptTokensDetailsWrapper(query_count=3, image_count=1),
+    )
+
+    prompt_cost, completion_cost = generic_cost_per_token(
+        model="us.twelvelabs.marengo-embed-3-0-v1:0",
+        usage=usage,
+        custom_llm_provider="bedrock",
+    )
+
+    assert prompt_cost == pytest.approx(3 * 7e-05 + 1e-04)
+    assert completion_cost == 0.0
+
+
+def test_query_count_is_free_without_a_per_query_price(_local_model_cost_map):
+    usage = Usage(
+        prompt_tokens=0,
+        completion_tokens=0,
+        total_tokens=0,
+        prompt_tokens_details=PromptTokensDetailsWrapper(query_count=1),
+    )
+
+    prompt_cost, _ = generic_cost_per_token(model="text-embedding-3-small", usage=usage, custom_llm_provider="openai")
+
+    assert prompt_cost == 0.0
+
+
 # ---------------------------------------------------------------------------
 # Data-residency (OpenAI regional processing) tests
 # ---------------------------------------------------------------------------
diff --git a/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py b/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
index b37e991b0b2..c29a87cd0cf 100644
--- a/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
+++ b/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
@@ -5,6 +5,7 @@ from unittest.mock import Mock, patch
 import pytest
 
 import litellm
+from litellm.llms.bedrock.embed.twelvelabs_marengo_transformation import TwelveLabsMarengoEmbeddingConfig
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 
 # Mock responses for different embedding models
@@ -1066,17 +1067,19 @@ MARENGO_3_DUCK = "data:image/png;base64,ZHVjaw=="
 
 
 @pytest.mark.parametrize(
-    "model,kwargs,expected_body",
+    "model,kwargs,expected_body,expected_usage_details",
     [
         (
             "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0",
             {"input_type": "text"},
             {"inputType": "text", "text": {"inputText": "a duck on water"}},
+            {"query_count": 1},
         ),
         (
             "bedrock/twelvelabs.marengo-embed-3-0-v1:0",
             {"input_type": "text"},
             {"inputType": "text", "text": {"inputText": "a duck on water"}},
+            {"query_count": 1},
         ),
         (
             "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0",
@@ -1085,6 +1088,7 @@ MARENGO_3_DUCK = "data:image/png;base64,ZHVjaw=="
                 "inputType": "text_image",
                 "text_image": {"inputText": "a duck on water", "mediaSource": {"base64String": "ZHVjaw=="}},
             },
+            {"query_count": 1, "image_count": 1},
         ),
         (
             "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0",
@@ -1096,10 +1100,13 @@ MARENGO_3_DUCK = "data:image/png;base64,ZHVjaw=="
                     "mediaSources": [{"name": "bird", "mediaType": "image", "base64String": "ZHVjaw=="}],
                 },
             },
+            {"query_count": 1, "image_count": 1},
         ),
     ],
 )
-def test_marengo_3_embedding_sends_the_nested_payload_and_parses_512_dims(model, kwargs, expected_body):
+def test_marengo_3_embedding_sends_the_nested_payload_and_parses_512_dims(
+    model, kwargs, expected_body, expected_usage_details
+):
     client = HTTPHandler()
 
     with patch.object(client, "post") as mock_post:
@@ -1122,7 +1129,9 @@ def test_marengo_3_embedding_sends_the_nested_payload_and_parses_512_dims(model,
     assert mock_post.call_args.kwargs["url"].endswith(f"/model/{model.removeprefix('bedrock/').replace(':', '%3A')}/invoke")
     assert len(response.data[0]["embedding"]) == 512
     assert response.data[0]["embedding"][:2] == [0.0, 0.01]
-    assert response.usage.prompt_tokens == 128
+    assert response.usage.prompt_tokens == 0
+    assert response.usage.total_tokens == 0
+    assert response.usage.prompt_tokens_details.model_dump(exclude_none=True) == expected_usage_details
 
 
 def test_marengo_3_image_embedding_sends_the_media_under_the_image_key():
@@ -1150,6 +1159,8 @@ def test_marengo_3_image_embedding_sends_the_media_under_the_image_key():
     }
     assert len(response.data[0]["embedding"]) == 512
     assert response.data[0]["embedding"][:2] == [0.0, 0.01]
+    assert response.usage.prompt_tokens == 0
+    assert response.usage.prompt_tokens_details.model_dump(exclude_none=True) == {"image_count": 1}
 
 
 def test_marengo_2_7_embedding_keeps_the_flat_payload():
@@ -1177,6 +1188,36 @@ def test_marengo_2_7_embedding_keeps_the_flat_payload():
         "textTruncate": "end",
     }
     assert response.data[0]["embedding"] == [0.1, 0.2, 0.3]
+    assert response.usage.prompt_tokens == 0
+    assert response.usage.prompt_tokens_details.model_dump(exclude_none=True) == {"query_count": 1}
+
+
+def test_marengo_usage_counts_text_requests_and_images_across_a_batch():
+    duck = {"mediaType": "image", "base64String": "ZHVjaw=="}
+    response = TwelveLabsMarengoEmbeddingConfig()._transform_response(
+        response_list=[marengo_3_embedding_response, marengo_3_embedding_response, marengo_3_embedding_response],
+        model="us.twelvelabs.marengo-embed-3-0-v1:0",
+        batch_data=[
+            {"inputType": "text", "text": {"inputText": "a duck"}},
+            {"inputType": "image", "image": {"mediaSource": {"base64String": "ZHVjaw=="}}},
+            {"inputType": "multi_input", "multi_input": {"mediaSources": [{"name": "a", **duck}, {"name": "b", **duck}]}},
+        ],
+    )
+
+    assert [item["index"] for item in response.data] == [0, 1, 2]
+    assert response.usage.prompt_tokens == 0
+    assert response.usage.total_tokens == 0
+    assert response.usage.prompt_tokens_details.model_dump(exclude_none=True) == {"query_count": 1, "image_count": 3}
+
+
+def test_marengo_usage_without_request_data_bills_nothing():
+    response = TwelveLabsMarengoEmbeddingConfig()._transform_response(
+        response_list=[marengo_3_embedding_response], model="us.twelvelabs.marengo-embed-3-0-v1:0"
+    )
+
+    assert len(response.data[0]["embedding"]) == 512
+    assert response.usage.prompt_tokens == 0
+    assert response.usage.prompt_tokens_details is None
 
 
 def test_marengo_3_text_image_without_media_source_is_a_bad_request():
diff --git a/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py b/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py
index 300dfeb5238..0bb99339435 100644
--- a/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py
+++ b/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py
@@ -6,7 +6,7 @@ import pytest
 import litellm
 from litellm.constants import bedrock_embedding_models
 from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
-from litellm.types.utils import Usage
+from litellm.types.utils import PromptTokensDetailsWrapper, Usage
 
 REPO_ROOT = Path(__file__).parents[2]
 MAIN_PATH = REPO_ROOT / "model_prices_and_context_window.json"
@@ -15,6 +15,12 @@ BACKUP_PATH = REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.js
 BASE_MODEL = "twelvelabs.marengo-embed-3-0-v1:0"
 PROFILE_MODELS = ("us.twelvelabs.marengo-embed-3-0-v1:0", "eu.twelvelabs.marengo-embed-3-0-v1:0")
 ALL_MODELS = (BASE_MODEL, *PROFILE_MODELS)
+MARENGO_2_7_MODELS = (
+    "twelvelabs.marengo-embed-2-7-v1:0",
+    "us.twelvelabs.marengo-embed-2-7-v1:0",
+    "eu.twelvelabs.marengo-embed-2-7-v1:0",
+)
+PER_REQUEST_MODELS = (*ALL_MODELS, *MARENGO_2_7_MODELS)
 
 TEXT_REQUEST_COST = 7e-05
 IMAGE_REQUEST_COST = 0.0001
@@ -34,7 +40,7 @@ def test_marengo_embed_3_specs(model):
 
     assert info["litellm_provider"] == "bedrock"
     assert info["mode"] == "embedding"
-    assert info["input_cost_per_token"] == TEXT_REQUEST_COST
+    assert info["input_cost_per_query"] == TEXT_REQUEST_COST
     assert info["output_cost_per_token"] == 0.0
     assert info["max_input_tokens"] == 500
     assert info["max_tokens"] == 500
@@ -48,9 +54,11 @@ def test_marengo_embed_3_specs(model):
     assert provider == "bedrock"
 
 
-@pytest.mark.parametrize("model", PROFILE_MODELS)
-def test_marengo_embed_3_inference_profiles_price_image_video_and_audio(model):
+@pytest.mark.parametrize("model", PER_REQUEST_MODELS)
+def test_marengo_prices_are_per_request_not_per_token(model):
     info = _load(MAIN_PATH)[model]
+    assert "input_cost_per_token" not in info
+    assert info["input_cost_per_query"] == TEXT_REQUEST_COST
     assert info["input_cost_per_image"] == IMAGE_REQUEST_COST
     assert info["input_cost_per_video_per_second"] == VIDEO_COST_PER_SECOND
     assert info["input_cost_per_audio_per_second"] == AUDIO_COST_PER_SECOND
@@ -64,13 +72,34 @@ def test_marengo_embed_3_is_visible_to_callers(model, local_model_cost_map):
     assert info["max_input_tokens"] == 500
 
 
-@pytest.mark.parametrize("model", ALL_MODELS)
-def test_marengo_embed_3_text_request_is_billed(model, local_model_cost_map):
+@pytest.mark.parametrize("model", PER_REQUEST_MODELS)
+@pytest.mark.parametrize(
+    "details,expected_cost",
+    [
+        (PromptTokensDetailsWrapper(query_count=1), TEXT_REQUEST_COST),
+        (PromptTokensDetailsWrapper(image_count=1), IMAGE_REQUEST_COST),
+        (PromptTokensDetailsWrapper(query_count=1, image_count=1), TEXT_REQUEST_COST + IMAGE_REQUEST_COST),
+        (PromptTokensDetailsWrapper(query_count=1, image_count=2), TEXT_REQUEST_COST + 2 * IMAGE_REQUEST_COST),
+        (PromptTokensDetailsWrapper(video_length_seconds=10), 10 * VIDEO_COST_PER_SECOND),
+        (PromptTokensDetailsWrapper(audio_length_seconds=10), 10 * AUDIO_COST_PER_SECOND),
+    ],
+)
+def test_marengo_requests_are_billed_per_request(model, details, expected_cost, local_model_cost_map):
+    usage = Usage(prompt_tokens=0, completion_tokens=0, total_tokens=0, prompt_tokens_details=details)
+    prompt_cost, completion_cost = litellm.cost_per_token(
+        model=model, usage_object=usage, custom_llm_provider="bedrock"
+    )
+    assert prompt_cost == pytest.approx(expected_cost)
+    assert completion_cost == 0.0
+
+
+@pytest.mark.parametrize("model", PER_REQUEST_MODELS)
+def test_marengo_token_counts_bill_nothing(model, local_model_cost_map):
     usage = Usage(prompt_tokens=128, completion_tokens=0, total_tokens=128)
     prompt_cost, completion_cost = litellm.cost_per_token(
         model=model, usage_object=usage, custom_llm_provider="bedrock"
     )
-    assert prompt_cost == pytest.approx(128 * TEXT_REQUEST_COST)
+    assert prompt_cost == 0.0
     assert completion_cost == 0.0
 
 
@@ -78,7 +107,7 @@ def test_marengo_embed_3_is_a_known_bedrock_embedding_model():
     assert BASE_MODEL in bedrock_embedding_models
 
 
-@pytest.mark.parametrize("model", ALL_MODELS)
+@pytest.mark.parametrize("model", PER_REQUEST_MODELS)
 def test_backup_matches_main(model):
     main_cost = _load(MAIN_PATH)
     backup_cost = _load(BACKUP_PATH)

From bb52fd44fa425033313c7eac85bb5edaf92d71be Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:20:41 -0700
Subject: [PATCH 065/223] fix(cost_map): label the card's loaded_at as
 per-worker and cover the integrity-failure fallback

---
 .../test_get_model_cost_map.py                | 20 +++++++++++++++++++
 .../src/components/price_data_reload.test.tsx |  2 ++
 .../src/components/price_data_reload.tsx      |  9 +++++++++
 3 files changed, 31 insertions(+)

diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index d9fe6d2f979..7c3ad283639 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -684,3 +684,23 @@ def test_boot_load_fallback_to_the_backup_reports_its_blob_id_and_drops_the_remo
     assert source["source"] == "local"
     assert source["etag"] is None
     assert source["source_revision"] == _bundled_blob_id()
+
+
+def test_boot_load_that_fails_the_integrity_check_reports_the_backup_not_the_rejected_fetch():
+    """A fetch that succeeds but fails integrity validation is thrown away, so the provenance must
+    describe the backup that got loaded, never the ETag or bytes of the map that was rejected."""
+    remote, _ = _mock_client(
+        [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_real_map_bytes())], client_cls=httpx.Client
+    )
+    get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=remote)
+    shrunk_body = b'{"gpt-5.4-mini": {"mode": "chat", "input_cost_per_token": 1e-06, "output_cost_per_token": 2e-06}}'
+    shrunk, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"shrunk"'}, content=shrunk_body)], client_cls=httpx.Client)
+
+    get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=shrunk)
+
+    source = get_model_cost_map_source_info()
+    assert source["source"] == "local"
+    assert source["fallback_reason"] == "Remote data failed integrity validation"
+    assert source["etag"] is None
+    assert source["source_revision"] == _bundled_blob_id()
+    assert source["source_revision"] != git_blob_id(shrunk_body)
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
index 101612993b0..3566ec2c3f2 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
@@ -68,6 +68,7 @@ describe("PriceDataReload", () => {
     expect(screen.getByText("ETag:")).toBeInTheDocument();
     expect(screen.getByText('W/"eb8e9a53f4cc284b"')).toBeInTheDocument();
     expect(screen.getByText("Loaded at:")).toBeInTheDocument();
+    expect(screen.getByText(/worker that answered this request/)).toBeInTheDocument();
     expect(screen.getByText(new Date(provenance.loaded_at).toLocaleString())).toBeInTheDocument();
   });
 
@@ -91,6 +92,7 @@ describe("PriceDataReload", () => {
     expect(screen.queryByText("Source revision:")).not.toBeInTheDocument();
     expect(screen.queryByText("ETag:")).not.toBeInTheDocument();
     expect(screen.queryByText("Loaded at:")).not.toBeInTheDocument();
+    expect(screen.queryByText(/worker that answered this request/)).not.toBeInTheDocument();
   });
 
   it("confirms an immediate reload and refreshes dependent data", async () => {
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.tsx b/ui/litellm-dashboard/src/components/price_data_reload.tsx
index e5977a1b6e3..1363e306a31 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.tsx
@@ -132,6 +132,15 @@ const CostMapProvenanceRows: React.FC<{ sourceInfo: CostMapSourceInfo }> = ({ so
         <span className="font-medium">{formatDateTime(sourceInfo.loaded_at)}</span>
       </div>
     )}
+
+    {sourceInfo.loaded_at && (
+      <div className="flex items-center gap-1.5 text-xs text-muted-foreground">
+        <Info className="size-3.5 shrink-0" />
+        <span>
+          Reported by the worker that answered this request. Other workers pick up a reload on their next poll
+        </span>
+      </div>
+    )}
   </>
 );
 

From 95402ccb711cdcd93f1c296579b18ec8bd32cab4 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:36:40 -0700
Subject: [PATCH 066/223] test(azure_ai): move the Foundry catalog metadata
 test into the mapped azure_ai directory

The new metadata test sat at the top of tests/test_litellm. The azure_ai metadata tests live in tests/test_litellm/llms/azure_ai next to the cost calculator test, so this moves it there and bumps its repo-root lookup by the two extra directory levels. No test changes.
---
 .../azure_ai}/test_azure_ai_foundry_catalog_model_metadata.py   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
 rename tests/test_litellm/{ => llms/azure_ai}/test_azure_ai_foundry_catalog_model_metadata.py (99%)

diff --git a/tests/test_litellm/test_azure_ai_foundry_catalog_model_metadata.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
similarity index 99%
rename from tests/test_litellm/test_azure_ai_foundry_catalog_model_metadata.py
rename to tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
index 9c5ca26a89c..1b4e83438a6 100644
--- a/tests/test_litellm/test_azure_ai_foundry_catalog_model_metadata.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
@@ -8,7 +8,7 @@ from pydantic import TypeAdapter
 from litellm import cost_per_token, get_model_info
 from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
 
-REPO_ROOT: Final = Path(__file__).parents[2]
+REPO_ROOT: Final = Path(__file__).parents[4]
 COST_MAP_ADAPTER: Final = TypeAdapter(dict[str, dict[str, object]])
 AZURE_OPENAI_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/"
 FOUNDRY_AOAI_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/"

From ba91588b15d308daf229f464b9aa89a0f7480afd Mon Sep 17 00:00:00 2001
From: ryan-crabbe-berri <ryan@berri.ai>
Date: Mon, 7 Sep 2026 18:38:12 -0700
Subject: [PATCH 067/223] fix(proxy): price one cost estimate at one moment

The totals, the per-token-type lines and the reported rates each resolved off-peak pricing on their own clock read, so a quote taken as a window opened could bill on one side of the boundary and report rates from the other. /cost/estimate now pins a billing moment for the whole quote, and every rate lookup answers for the pinned moment instead of reading the clock again

Claude-Session: https://claude.ai/code/session_011Tn3657NkV6ojLqewL64Kb
---
 litellm/_internal_context.py                  | 24 +++++++++++
 .../litellm_core_utils/llm_cost_calc/utils.py |  9 ++--
 .../cost_tracking_settings.py                 | 43 +++++++++++--------
 .../llm_cost_calc/test_llm_cost_calc_utils.py | 42 ++++++++++++++++++
 .../test_cost_tracking_settings.py            | 30 +++++++++++++
 5 files changed, 126 insertions(+), 22 deletions(-)

diff --git a/litellm/_internal_context.py b/litellm/_internal_context.py
index f856fe0f2b3..8132008731f 100644
--- a/litellm/_internal_context.py
+++ b/litellm/_internal_context.py
@@ -6,9 +6,33 @@ be settable from user input. Context variables are scoped to the current
 asyncio task and cannot be injected via HTTP request bodies.
 """
 
+from collections.abc import Generator
+from contextlib import contextmanager
 from contextvars import ContextVar
+from datetime import datetime, timezone
 from typing import Final
 
 # When True, suppresses async logging and billing for internal sub-calls
 # (e.g., emulated file-search steps that make nested LLM calls).
 is_internal_call: Final[ContextVar[bool]] = ContextVar("is_internal_call", default=False)
+
+# One request prices its totals, its per-token-type lines and the rates it reports on
+# separate code paths. Each reads the clock for off-peak pricing, so without a pinned
+# moment they can land on either side of a window boundary and disagree with each other.
+_billing_time: Final[ContextVar[datetime | None]] = ContextVar("billing_time", default=None)
+
+
+@contextmanager
+def pinned_billing_time(moment: datetime) -> Generator[None]:
+    """Price every rate lookup inside this block at ``moment`` rather than at each one's own clock read."""
+    token: Final = _billing_time.set(moment)
+    try:
+        yield
+    finally:
+        _billing_time.reset(token)
+
+
+def current_billing_time() -> datetime:
+    """The pinned billing moment, or now in UTC outside a pinned block."""
+    pinned: Final = _billing_time.get()
+    return pinned if pinned is not None else datetime.now(timezone.utc)
diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 2bb15fb4c48..e2168528e6b 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -10,6 +10,7 @@ from typing import Any, Final, Literal, TypedDict, cast
 from zoneinfo import ZoneInfo, ZoneInfoNotFoundError
 
 import litellm
+from litellm._internal_context import current_billing_time
 from litellm._logging import verbose_logger
 from litellm.litellm_core_utils.llm_cost_calc.tiered_pricing import (
     select_tier_for_input,
@@ -306,7 +307,7 @@ def _is_within_off_peak_window(off_peak_hours_utc: str | Sequence[str], current_
     than being localised, so callers must pass datetime.now(timezone.utc), never datetime.now(),
     or every window shifts by the host's offset.
     """
-    reference: Final = current_time if current_time is not None else datetime.now(timezone.utc)
+    reference: Final = current_time if current_time is not None else current_billing_time()
     now: Final = (reference.astimezone(timezone.utc) if reference.tzinfo is not None else reference).time()
     windows: Final = (off_peak_hours_utc,) if isinstance(off_peak_hours_utc, str) else off_peak_hours_utc
     for window in windows:
@@ -393,7 +394,7 @@ def _is_off_peak(off_peak: Mapping[str, object], current_time: datetime | None =
     rules: the flat hours_utc windows, which apply every day, or any entry in windows, whose
     hours apply only on its weekdays.
     """
-    reference: Final = current_time if current_time is not None else datetime.now(timezone.utc)
+    reference: Final = current_time if current_time is not None else current_billing_time()
     reference_utc: Final = (
         reference.astimezone(timezone.utc) if reference.tzinfo is not None else reference.replace(tzinfo=timezone.utc)
     )
@@ -1187,7 +1188,7 @@ def generic_cost_per_token(
             usage.prompt_tokens - cache_hit - audio_tokens - cache_creation - image_tokens - video_tokens, 0
         )
 
-    billing_time: Final = current_time if current_time is not None else datetime.now(timezone.utc)
+    billing_time: Final = current_time if current_time is not None else current_billing_time()
     (
         prompt_base_cost,
         completion_base_cost,
@@ -1379,7 +1380,7 @@ def _cost_map_billed_rates(
     vertex_location: str | None,
     current_time: datetime | None,
 ) -> BilledTokenRates:
-    billing_time: Final = current_time if current_time is not None else datetime.now(timezone.utc)
+    billing_time: Final = current_time if current_time is not None else current_billing_time()
     (
         prompt_base_cost,
         completion_base_cost,
diff --git a/litellm/proxy/management_endpoints/cost_tracking_settings.py b/litellm/proxy/management_endpoints/cost_tracking_settings.py
index 17d82fd17e3..1faa66584d5 100644
--- a/litellm/proxy/management_endpoints/cost_tracking_settings.py
+++ b/litellm/proxy/management_endpoints/cost_tracking_settings.py
@@ -18,6 +18,7 @@ from fastapi import APIRouter, Depends, HTTPException
 from pydantic import BaseModel
 
 import litellm
+from litellm._internal_context import current_billing_time, pinned_billing_time
 from litellm._logging import verbose_proxy_logger
 from litellm.cost_calculator import completion_cost
 from litellm.litellm_core_utils.llm_cost_calc.utils import get_billed_token_rates
@@ -631,33 +632,39 @@ async def estimate_cost(
         function_id="cost-estimate",
     )
 
-    # Use completion_cost which handles all the logic including margins/discounts
-    try:
-        cost_per_request: Final = completion_cost(
-            completion_response=mock_response,
+    # The totals, the per-token-type lines and the reported rates each resolve pricing on their
+    # own path. Pinning one moment keeps an off-peak window that opens mid-quote from splitting them.
+    billed_at: Final = current_billing_time()
+    with pinned_billing_time(billed_at):
+        # Use completion_cost which handles all the logic including margins/discounts
+        try:
+            cost_per_request: Final = completion_cost(
+                completion_response=mock_response,
+                model=resolved_model,
+                custom_llm_provider=resolved_provider,
+                custom_cost_per_token=resolved.custom_cost_per_token,
+                litellm_logging_obj=litellm_logging_obj,
+            )
+        except Exception as e:
+            raise HTTPException(
+                status_code=404,
+                detail={
+                    "error": f"Could not calculate cost for model '{request.model}' (resolved to '{resolved_model}'): {e}"
+                },
+            )
+
+        rates: Final = get_billed_token_rates(
             model=resolved_model,
             custom_llm_provider=resolved_provider,
+            usage=usage,
             custom_cost_per_token=resolved.custom_cost_per_token,
-            litellm_logging_obj=litellm_logging_obj,
-        )
-    except Exception as e:
-        raise HTTPException(
-            status_code=404,
-            detail={
-                "error": f"Could not calculate cost for model '{request.model}' (resolved to '{resolved_model}'): {e}"
-            },
+            current_time=billed_at,
         )
 
     per_request: Final = _cost_lines(cost_per_request, litellm_logging_obj.cost_breakdown)
     daily: Final = per_request.times(request.num_requests_per_day)
     monthly: Final = per_request.times(request.num_requests_per_month)
 
-    rates: Final = get_billed_token_rates(
-        model=resolved_model,
-        custom_llm_provider=resolved_provider,
-        usage=usage,
-        custom_cost_per_token=resolved.custom_cost_per_token,
-    )
     model_info: Final = _lookup_model_info(resolved_model)
     mapped_provider: Final = model_info.get("litellm_provider") if model_info is not None else None
     custom_llm_provider: Final = mapped_provider if mapped_provider is not None else resolved_provider
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
index 4de3c059e63..90178428018 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
@@ -1,9 +1,11 @@
 import json
+from datetime import datetime, timezone
 
 import pytest
 from fastapi.testclient import TestClient
 
 import litellm
+from litellm._internal_context import pinned_billing_time
 from litellm.litellm_core_utils.llm_cost_calc.tool_call_cost_tracking import (
     StandardBuiltInToolCostTracking,
 )
@@ -3981,6 +3983,46 @@ def test_billed_token_rates_follow_the_token_tier_the_breakdown_bills_at(monkeyp
     assert breakdown.reasoning_cost == pytest.approx(200 * rates.output_cost_per_reasoning_token)
 
 
+def test_a_pinned_billing_time_prices_the_totals_and_the_reported_rates_at_one_moment(monkeypatch):
+    """Totals and reported rates resolve off-peak pricing on separate paths that each read the
+    clock, so a window opening between the two reads used to leave them describing one request
+    at two different prices. Pinned, both must answer for the pinned moment."""
+    monkeypatch.setitem(
+        litellm.model_cost,
+        "off-peak-model",
+        {
+            "input_cost_per_token": 3e-6,
+            "output_cost_per_token": 15e-6,
+            "off_peak_pricing": {
+                "hours_utc": "02:00-03:00",
+                "input_cost_per_token": 1e-6,
+                "output_cost_per_token": 5e-6,
+            },
+            "litellm_provider": "openai",
+            "mode": "chat",
+        },
+    )
+    usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
+
+    with pinned_billing_time(datetime(2026, 1, 1, 2, 30, tzinfo=timezone.utc)):
+        off_peak_prompt_cost, off_peak_completion_cost = generic_cost_per_token(
+            model="off-peak-model", usage=usage, custom_llm_provider="openai"
+        )
+        off_peak_rates = get_billed_token_rates(model="off-peak-model", custom_llm_provider="openai", usage=usage)
+    with pinned_billing_time(datetime(2026, 1, 1, 12, 30, tzinfo=timezone.utc)):
+        peak_prompt_cost, peak_completion_cost = generic_cost_per_token(
+            model="off-peak-model", usage=usage, custom_llm_provider="openai"
+        )
+        peak_rates = get_billed_token_rates(model="off-peak-model", custom_llm_provider="openai", usage=usage)
+
+    assert off_peak_rates.input_cost_per_token == pytest.approx(1e-6)
+    assert peak_rates.input_cost_per_token == pytest.approx(3e-6)
+    assert off_peak_prompt_cost == pytest.approx(1000 * off_peak_rates.input_cost_per_token)
+    assert off_peak_completion_cost == pytest.approx(500 * off_peak_rates.output_cost_per_token)
+    assert peak_prompt_cost == pytest.approx(1000 * peak_rates.input_cost_per_token)
+    assert peak_completion_cost == pytest.approx(500 * peak_rates.output_cost_per_token)
+
+
 def test_billed_token_rates_are_none_for_an_unpriced_model():
     usage = Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15)
 
diff --git a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
index 9847c4092df..e9485f3a044 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
@@ -4,6 +4,7 @@ Tests for cost tracking settings management endpoints.
 Tests the GET and PATCH endpoints for managing cost discount configuration.
 """
 
+from datetime import datetime, timezone
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
@@ -12,6 +13,7 @@ from pydantic import ValidationError
 
 
 import litellm
+from litellm._internal_context import pinned_billing_time
 from litellm.proxy._types import CostEstimateRequest
 from litellm.proxy.management_endpoints.cost_tracking_settings import router
 from litellm.proxy.proxy_server import app
@@ -1108,6 +1110,34 @@ class TestEstimateCostCacheAndReasoningTokens:
         )
         assert response.output_cost_per_request == pytest.approx(1_000 * response.output_cost_per_token)
 
+    @pytest.mark.asyncio
+    async def test_a_quote_prices_its_totals_and_its_rates_at_the_same_moment(self, monkeypatch):
+        """The totals and the reported rates resolve off-peak pricing on separate paths. A quote
+        taken as a window opens must not bill on one side of it and report rates from the other."""
+        monkeypatch.setitem(
+            litellm.model_cost,
+            A_MAPPED_MODEL,
+            {
+                "input_cost_per_token": 3e-6,
+                "output_cost_per_token": 15e-6,
+                "off_peak_pricing": {
+                    "hours_utc": "02:00-03:00",
+                    "input_cost_per_token": 1e-6,
+                    "output_cost_per_token": 5e-6,
+                },
+                "litellm_provider": "openai",
+                "mode": "chat",
+            },
+        )
+
+        with pinned_billing_time(datetime(2026, 1, 1, 2, 30, tzinfo=timezone.utc)):
+            response = await _estimate(None, model=A_MAPPED_MODEL)
+
+        assert response.input_cost_per_token == pytest.approx(1e-6)
+        assert response.output_cost_per_token == pytest.approx(5e-6)
+        assert response.input_cost_per_request == pytest.approx(INPUT_TOKENS * response.input_cost_per_token)
+        assert response.output_cost_per_request == pytest.approx(OUTPUT_TOKENS * response.output_cost_per_token)
+
 
 class TestCostEstimateRequestTokenSubsets:
     def test_cache_tokens_beyond_the_input_tokens_are_rejected(self):

From 80fea089b63e6b89e989f3a109b96a26bac90224 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:40:31 -0700
Subject: [PATCH 068/223] fix(bedrock): reject Marengo 2.7-only and misplaced
 media params on 3.0 unless drop_params

Marengo 3.0 requests now get a 400 naming any textTruncate, lengthSec,
useFixedLengthSec, or minClipSec parameter, and any video or audio option
sent with a text, image, text_image, or multi_input request, instead of
silently dropping them. drop_params (global, per deployment, or per
request) drops them instead. Pydantic validation errors name the field
and the reason, and the 3.0 marker is the exact "marengo-embed-3-" model
id segment.
---
 litellm/llms/bedrock/embed/embedding.py       |  3 +-
 .../twelvelabs_marengo_3_transformation.py    | 44 +++++++--
 .../twelvelabs_marengo_transformation.py      | 46 ++++++----
 ...est_twelvelabs_marengo_3_transformation.py | 90 +++++++++++++++++++
 4 files changed, 158 insertions(+), 25 deletions(-)

diff --git a/litellm/llms/bedrock/embed/embedding.py b/litellm/llms/bedrock/embed/embedding.py
index 69eb9b693b1..987c7cbf981 100644
--- a/litellm/llms/bedrock/embed/embedding.py
+++ b/litellm/llms/bedrock/embed/embedding.py
@@ -35,7 +35,7 @@ from .amazon_titan_multimodal_transformation import (
 )
 from .amazon_titan_v2_transformation import AmazonTitanV2Config
 from .cohere_transformation import BedrockCohereEmbeddingConfig
-from .twelvelabs_marengo_transformation import TwelveLabsMarengoEmbeddingConfig
+from .twelvelabs_marengo_transformation import TwelveLabsMarengoEmbeddingConfig, drop_params_enabled
 
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
@@ -480,6 +480,7 @@ class BedrockEmbedding(BaseAWSLLM):
                     async_invoke_route=has_async_invoke,
                     model_id=modelId,
                     output_s3_uri=inference_params.get("output_s3_uri"),
+                    drop_params=drop_params_enabled(litellm_params),
                 )
                 batch_data.append(twelvelabs_request)
         elif provider == "nova":
diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
index 0f61d37258f..f4f9cb03dab 100644
--- a/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
+++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
@@ -35,7 +35,7 @@ from litellm.types.llms.bedrock import (
 )
 from litellm.utils import get_base64_str
 
-MARENGO_3_MODEL_MARKER: Final = "marengo-embed-3"
+MARENGO_3_MODEL_MARKER: Final = "marengo-embed-3-"
 S3_URI_PREFIX: Final = "s3://"
 TIMED_MEDIA_OPTION_FIELDS: Final = MappingProxyType(
     {
@@ -48,6 +48,9 @@ TIMED_MEDIA_OPTION_FIELDS: Final = MappingProxyType(
     }
 )
 TIMED_MEDIA_OPTIONS: Final = TypeAdapter(TwelveLabsMarengo3TimedMediaOptions)
+TIMED_INPUT_TYPES: Final = frozenset({"video", "audio"})
+MARENGO_2_7_ONLY_PARAMS: Final = ("textTruncate", "lengthSec", "useFixedLengthSec", "minClipSec")
+MARENGO_2_7_ONLY_FIELDS: Final = MappingProxyType({name: True for name in MARENGO_2_7_ONLY_PARAMS})
 
 
 def is_marengo_3_model(model: str | None) -> bool:
@@ -69,15 +72,23 @@ class Marengo3Params(BaseModel):
     embeddingType: tuple[TWELVELABS_MARENGO_3_EMBEDDING_TYPES, ...] | None = None
     embeddingScope: tuple[TWELVELABS_MARENGO_3_EMBEDDING_SCOPES, ...] | None = None
     inferenceId: str | None = None
+    textTruncate: object = None
+    lengthSec: object = None
+    useFixedLengthSec: object = None
+    minClipSec: object = None
 
     @property
     def resolved_input_type(self) -> TWELVELABS_MARENGO_3_INPUT_TYPES:
         return self.inputType or self.input_type or "text"
 
     def timed_media_options(self) -> TwelveLabsMarengo3TimedMediaOptions:
-        return TIMED_MEDIA_OPTIONS.validate_python(
-            self.model_dump(include=TIMED_MEDIA_OPTION_FIELDS, exclude_none=True)
-        )
+        return TIMED_MEDIA_OPTIONS.validate_python(self.given_timed_media_options())
+
+    def given_timed_media_options(self) -> dict[str, object]:
+        return self.model_dump(include=TIMED_MEDIA_OPTION_FIELDS, exclude_none=True)
+
+    def given_2_7_only_params(self) -> dict[str, object]:
+        return self.model_dump(include=MARENGO_2_7_ONLY_FIELDS, exclude_none=True)
 
 
 def _s3_location(uri: str, bucket_owner: str | None) -> TwelveLabsS3Location:
@@ -113,11 +124,23 @@ def _timed_media_input(media: str, params: Marengo3Params) -> TwelveLabsMarengo3
     return timed
 
 
+def _describe(error: ValidationError) -> str:
+    return "; ".join(
+        f"{'.'.join(str(part) for part in problem['loc'])}: {problem['msg']}" for problem in error.errors()
+    )
+
+
 def _validated_params(inference_params: Mapping[str, object]) -> Marengo3Params:
     try:
         return Marengo3Params.model_validate(inference_params)
     except ValidationError as error:
-        raise BedrockError(status_code=400, message=f"Invalid Marengo 3.0 parameters: {error}") from error
+        raise BedrockError(status_code=400, message=f"Invalid Marengo 3.0 parameters: {_describe(error)}") from error
+
+
+def _reject_unless_dropped(given: Mapping[str, object], drop_params: bool, reason: str) -> None:
+    if not given or drop_params:
+        return
+    raise BedrockError(status_code=400, message=f"{reason} {', '.join(given)}; set drop_params to drop them")
 
 
 def _require(value: str | None, input_type: str, param_name: str) -> str:
@@ -143,10 +166,19 @@ def _request_base(inference_id: str | None) -> TwelveLabsMarengo3RequestBase:
     return identified
 
 
-def build_marengo_3_request(input: str, inference_params: Mapping[str, object]) -> TwelveLabsMarengo3EmbeddingRequest:
+def build_marengo_3_request(
+    input: str, inference_params: Mapping[str, object], drop_params: bool = False
+) -> TwelveLabsMarengo3EmbeddingRequest:
     params: Final = _validated_params(inference_params)
     base: Final = _request_base(params.inferenceId)
     input_type: Final = params.resolved_input_type
+    _reject_unless_dropped(
+        params.given_2_7_only_params(), drop_params, "Marengo 3.0 does not accept the Marengo 2.7 parameters"
+    )
+    if input_type not in TIMED_INPUT_TYPES:
+        _reject_unless_dropped(
+            params.given_timed_media_options(), drop_params, f"Input type '{input_type}' does not accept"
+        )
     match input_type:
         case "text":
             text_request: Final[TwelveLabsMarengo3TextRequest] = {
diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
index ddf6dfbcc4d..35163ecf848 100644
--- a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
+++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
@@ -13,7 +13,9 @@ from typing import Final, cast
 from pydantic import BaseModel, ConfigDict, TypeAdapter
 from typing_extensions import assert_never
 
+import litellm
 from litellm.llms.bedrock.embed.twelvelabs_marengo_3_transformation import (
+    MARENGO_2_7_ONLY_PARAMS,
     build_marengo_3_request,
     is_marengo_3_model,
 )
@@ -99,6 +101,25 @@ def _billed_usage(batch_data: list[dict] | None) -> Usage:
     return Usage(prompt_tokens=0, completion_tokens=0, total_tokens=0, prompt_tokens_details=details)
 
 
+MARENGO_SHARED_PARAMS: Final = (
+    "encoding_format",
+    "embeddingOption",
+    "startSec",
+    "input_type",
+    "endSec",
+    "segmentation",
+    "embeddingType",
+    "embeddingScope",
+    "inferenceId",
+    "media_source",
+    "media_sources",
+)
+
+
+def drop_params_enabled(litellm_params: Mapping[str, object]) -> bool:
+    return litellm.drop_params is True or litellm_params.get("drop_params") is True
+
+
 class TwelveLabsMarengoEmbeddingConfig:
     """
     Reference - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-marengo.html
@@ -115,23 +136,9 @@ class TwelveLabsMarengoEmbeddingConfig:
         self.is_marengo_3: Final = is_marengo_3_model(model)
 
     def get_supported_openai_params(self) -> list[str]:
-        return [
-            "encoding_format",
-            "textTruncate",
-            "embeddingOption",
-            "startSec",
-            "lengthSec",
-            "useFixedLengthSec",
-            "minClipSec",
-            "input_type",
-            "endSec",
-            "segmentation",
-            "embeddingType",
-            "embeddingScope",
-            "inferenceId",
-            "media_source",
-            "media_sources",
-        ]
+        if self.is_marengo_3:
+            return list(MARENGO_SHARED_PARAMS)
+        return [*MARENGO_SHARED_PARAMS, *MARENGO_2_7_ONLY_PARAMS]
 
     def map_openai_params(self, non_default_params: dict, optional_params: dict) -> dict:
         for k, v in non_default_params.items():
@@ -179,6 +186,7 @@ class TwelveLabsMarengoEmbeddingConfig:
         async_invoke_route: bool = False,
         model_id: str | None = None,
         output_s3_uri: str | None = None,
+        drop_params: bool = False,
     ) -> TwelveLabsMarengoEmbeddingRequest | TwelveLabsMarengo3EmbeddingRequest | TwelveLabsAsyncInvokeRequest:
         """
         Transform OpenAI-style input to TwelveLabs Marengo format/async-invoke format.
@@ -203,7 +211,9 @@ class TwelveLabsMarengoEmbeddingConfig:
             )
 
         if self.is_marengo_3:
-            marengo_3_request: Final = build_marengo_3_request(input=input, inference_params=inference_params)
+            marengo_3_request: Final = build_marengo_3_request(
+                input=input, inference_params=inference_params, drop_params=drop_params
+            )
             if async_invoke_route and model_id:
                 return self._wrap_async_invoke_request(
                     model_input=marengo_3_request, model_id=model_id, output_s3_uri=output_s3_uri
diff --git a/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
index 0bf86352a5e..5033256d089 100644
--- a/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
+++ b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
@@ -2,13 +2,16 @@ import json
 
 import pytest
 
+import litellm
 from litellm.llms.bedrock.common_utils import BedrockError
 from litellm.llms.bedrock.embed.twelvelabs_marengo_3_transformation import (
+    MARENGO_2_7_ONLY_PARAMS,
     build_marengo_3_request,
     is_marengo_3_model,
 )
 from litellm.llms.bedrock.embed.twelvelabs_marengo_transformation import (
     TwelveLabsMarengoEmbeddingConfig,
+    drop_params_enabled,
 )
 
 MARENGO_3_BASE = "twelvelabs.marengo-embed-3-0-v1:0"
@@ -27,6 +30,7 @@ OUTPUT_S3_URI = "s3://out-bucket/marengo/"
         ("async_invoke/twelvelabs.marengo-embed-3-0-v1:0", True),
         (MARENGO_27_US, False),
         ("twelvelabs.marengo-embed-2-7-v1:0", False),
+        ("twelvelabs.marengo-embed-30-v1:0", False),
         (None, False),
     ],
 )
@@ -266,3 +270,89 @@ def test_marengo_3_only_params_are_forwarded_by_map_openai_params():
         "embeddingScope": ["clip"],
         "inferenceId": "req-1",
     }
+
+
+@pytest.mark.parametrize(
+    "params,problem",
+    [
+        (
+            {"input_type": "clip"},
+            "input_type: Input should be 'text', 'image', 'video', 'audio', 'text_image' or 'multi_input'",
+        ),
+        ({"input_type": "video", "embeddingOption": "visual"}, "embeddingOption: Input should be a valid tuple"),
+        (
+            {"input_type": "multi_input", "media_sources": ["not", "a", "mapping"]},
+            "media_sources: Input should be a valid dictionary",
+        ),
+    ],
+)
+def test_invalid_marengo_3_params_name_the_field_and_the_reason(params, problem):
+    with pytest.raises(BedrockError) as excinfo:
+        build_marengo_3_request("s3://media/clip.mp4", params)
+    assert excinfo.value.message == f"Invalid Marengo 3.0 parameters: {problem}"
+
+
+MARENGO_2_7_ONLY_VALUES = {"textTruncate": "end", "lengthSec": 5, "useFixedLengthSec": True, "minClipSec": 2}
+
+
+@pytest.mark.parametrize("name", MARENGO_2_7_ONLY_PARAMS)
+def test_marengo_2_7_only_params_are_rejected_on_3_0_unless_dropped(name):
+    params = {"input_type": "text", name: MARENGO_2_7_ONLY_VALUES[name]}
+    with pytest.raises(BedrockError) as excinfo:
+        build_marengo_3_request("hello", params)
+    assert excinfo.value.status_code == 400
+    assert excinfo.value.message == (
+        f"Marengo 3.0 does not accept the Marengo 2.7 parameters {name}; set drop_params to drop them"
+    )
+    assert build_marengo_3_request("hello", params, drop_params=True) == {
+        "inputType": "text",
+        "text": {"inputText": "hello"},
+    }
+
+
+def test_marengo_2_7_only_params_are_advertised_only_for_2_7():
+    marengo_3 = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US).get_supported_openai_params()
+    marengo_27 = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_27_US).get_supported_openai_params()
+    assert set(MARENGO_2_7_ONLY_PARAMS).isdisjoint(marengo_3)
+    assert set(MARENGO_2_7_ONLY_PARAMS) <= set(marengo_27)
+    assert set(marengo_3) <= set(marengo_27)
+
+
+def test_drop_params_comes_from_the_call_or_the_global(monkeypatch):
+    monkeypatch.setattr(litellm, "drop_params", False)
+    assert drop_params_enabled({}) is False
+    assert drop_params_enabled({"drop_params": True}) is True
+    monkeypatch.setattr(litellm, "drop_params", True)
+    assert drop_params_enabled({}) is True
+
+
+def test_config_drops_marengo_2_7_only_params_only_when_asked():
+    config = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US)
+    with pytest.raises(BedrockError, match=r"Marengo 2\.7 parameters textTruncate"):
+        config._transform_request("hello", {"textTruncate": "end"})
+    assert config._transform_request("hello", {"textTruncate": "end"}, drop_params=True) == {
+        "inputType": "text",
+        "text": {"inputText": "hello"},
+    }
+
+
+@pytest.mark.parametrize(
+    "params",
+    [
+        {"input_type": "text"},
+        {"input_type": "image"},
+        {"input_type": "text_image", "media_source": DUCK_DATA_URL},
+        {"input_type": "multi_input", "media_sources": {"bird": DUCK_DATA_URL}},
+    ],
+)
+def test_timed_media_options_are_rejected_on_untimed_input_types_unless_dropped(params):
+    timed = {**params, "startSec": 0, "embeddingOption": ["visual"]}
+    with pytest.raises(BedrockError) as excinfo:
+        build_marengo_3_request(DUCK_DATA_URL, timed)
+    assert excinfo.value.status_code == 400
+    assert excinfo.value.message == (
+        f"Input type '{params['input_type']}' does not accept startSec, embeddingOption; set drop_params to drop them"
+    )
+    assert build_marengo_3_request(DUCK_DATA_URL, timed, drop_params=True) == build_marengo_3_request(
+        DUCK_DATA_URL, params
+    )

From 9c980b96d6f32fb2b1568e1e26659e8a8912b37e Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:44:04 -0700
Subject: [PATCH 069/223] fix(budget_reservation): exempt vertex and bedrock
 count-tokens routes from budget reservation

---
 litellm/proxy/spend_tracking/budget_reservation.py     | 10 ++++++++--
 .../proxy/spend_tracking/test_budget_reservation.py    |  9 +++++++++
 2 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/spend_tracking/budget_reservation.py b/litellm/proxy/spend_tracking/budget_reservation.py
index 31d7d236657..d985075464f 100644
--- a/litellm/proxy/spend_tracking/budget_reservation.py
+++ b/litellm/proxy/spend_tracking/budget_reservation.py
@@ -183,11 +183,17 @@ _UNBILLED_ROUTES: Final[frozenset[str]] = frozenset(
         "/openai/v1/responses/input_tokens",
     }
 )
-_UNBILLED_ROUTE_SUFFIXES: Final[tuple[str, ...]] = ("/v1/messages/count_tokens", ":countTokens")
+_TOKEN_COUNTING_SEGMENTS: Final[frozenset[str]] = frozenset({"count_tokens", "count-tokens"})
+_TOKEN_COUNTING_ACTION: Final = "countTokens"
+
+
+def _is_token_counting_route(route: str) -> bool:
+    resource, _, action = route.rsplit("/", 1)[-1].partition(":")
+    return resource in _TOKEN_COUNTING_SEGMENTS or action == _TOKEN_COUNTING_ACTION
 
 
 def _is_unbilled_route(route: str) -> bool:
-    return route in _UNBILLED_ROUTES or route.endswith(_UNBILLED_ROUTE_SUFFIXES)
+    return route in _UNBILLED_ROUTES or _is_token_counting_route(route)
 
 
 async def reserve_budget_for_request(
diff --git a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py
index 5e88268c283..de6c7c2a40a 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py
@@ -17,6 +17,10 @@ TOKEN_COUNTING_ROUTES: Final = (
     "/v1/messages/count_tokens",
     "/v1beta/models/gemini-3.8-flash:countTokens",
     "/models/gemini-3.8-flash:countTokens",
+    "/bedrock/v1/messages/count-tokens",
+    "/bedrock/model/us.anthropic.claude-sonnet-4-6/count-tokens",
+    "/vertex_ai/v1/projects/p/locations/us-east5/publishers/anthropic/models/count-tokens:rawPredict",
+    "/vertex-ai/v1/projects/p/locations/us-east5/publishers/anthropic/models/count-tokens:rawPredict",
 )
 
 
@@ -56,6 +60,11 @@ ANTHROPIC_MESSAGES: Final = [{"role": "user", "content": "hello!!!"}]
 COUNT_TOKENS_REQUESTS: Final[tuple[tuple[str, dict[str, object]], ...]] = (
     ("/v1/messages/count_tokens", {"model": "claude-sonnet-5", "messages": ANTHROPIC_MESSAGES}),
     ("/v1beta/models/gemini-3.8-flash:countTokens", {"contents": [{"role": "user", "parts": [{"text": "hello!!!"}]}]}),
+    (
+        "/vertex_ai/v1/projects/p/locations/us-east5/publishers/anthropic/models/count-tokens:rawPredict",
+        {"model": "claude-sonnet-5", "messages": ANTHROPIC_MESSAGES},
+    ),
+    ("/bedrock/v1/messages/count-tokens", {"model": "claude-sonnet-5", "messages": ANTHROPIC_MESSAGES}),
 )
 TINY_BUDGET_KEY_TOKEN: Final = "hashed-count-tokens-key"
 

From a601c00afdc5ddda50cb7552aef0dc5f3d9dcf0c Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:47:25 -0700
Subject: [PATCH 070/223] fix(bedrock): pass litellm_params into the Bedrock
 embedding call so drop_params reaches Marengo 3.0

---
 litellm/main.py                               |  2 +-
 ...est_twelvelabs_marengo_3_transformation.py | 34 +++++++++++++++++++
 2 files changed, 35 insertions(+), 1 deletion(-)

diff --git a/litellm/main.py b/litellm/main.py
index 75b7f7f10a5..56f9cb2c0d0 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -6545,7 +6545,7 @@ def embedding(
                 client=client,
                 timeout=timeout,
                 aembedding=aembedding,
-                litellm_params={},
+                litellm_params=litellm_params_dict,
                 api_base=api_base,
                 print_verbose=print_verbose,
                 extra_headers=headers,
diff --git a/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
index 5033256d089..d8d29cac35e 100644
--- a/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
+++ b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
@@ -1,9 +1,11 @@
 import json
+from unittest.mock import Mock, patch
 
 import pytest
 
 import litellm
 from litellm.llms.bedrock.common_utils import BedrockError
+from litellm.llms.custom_httpx.http_handler import HTTPHandler
 from litellm.llms.bedrock.embed.twelvelabs_marengo_3_transformation import (
     MARENGO_2_7_ONLY_PARAMS,
     build_marengo_3_request,
@@ -356,3 +358,35 @@ def test_timed_media_options_are_rejected_on_untimed_input_types_unless_dropped(
     assert build_marengo_3_request(DUCK_DATA_URL, timed, drop_params=True) == build_marengo_3_request(
         DUCK_DATA_URL, params
     )
+
+
+def _embed_marengo_3_us(client: HTTPHandler, **params: object):
+    return litellm.embedding(
+        model=f"bedrock/{MARENGO_3_US}",
+        input="hello",
+        client=client,
+        aws_region_name="us-east-1",
+        aws_bedrock_runtime_endpoint="https://bedrock-runtime.us-east-1.amazonaws.com",
+        api_key="test-bearer-token",
+        **params,
+    )
+
+
+def test_per_request_drop_params_reaches_the_marengo_3_builder(monkeypatch):
+    monkeypatch.setattr(litellm, "drop_params", False)
+    client = HTTPHandler()
+    with patch.object(client, "post") as mock_post:
+        mock_response = Mock()
+        mock_response.status_code = 200
+        mock_response.text = json.dumps({"data": [{"embedding": [0.1, 0.2]}]})
+        mock_response.json = lambda: json.loads(mock_response.text)
+        mock_post.return_value = mock_response
+
+        with pytest.raises(litellm.BadRequestError, match=r"Marengo 2\.7 parameters textTruncate"):
+            _embed_marengo_3_us(client, textTruncate="end")
+        assert mock_post.call_count == 0
+
+        response = _embed_marengo_3_us(client, textTruncate="end", drop_params=True)
+
+    assert response.data[0]["embedding"] == [0.1, 0.2]
+    assert json.loads(mock_post.call_args.kwargs["data"]) == {"inputType": "text", "text": {"inputText": "hello"}}

From 6076e9f61103f9f8054b8dfaa00539e47fc9163f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 18:54:31 -0700
Subject: [PATCH 071/223] chore(cost_calc): drop the query count section label
 comment

---
 litellm/litellm_core_utils/llm_cost_calc/utils.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 46574ebae3f..c05d4c29a5e 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -981,7 +981,6 @@ def _calculate_input_cost(
             prompt_tokens_details["audio_length_seconds"],
         )
 
-    ### QUERY COUNT COST
     if prompt_tokens_details["query_count"]:
         prompt_cost += calculate_cost_component(
             model_info, "input_cost_per_query", prompt_tokens_details["query_count"]

From b7c2decb7db01b54463d94112f7943032d9309da Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 19:00:47 -0700
Subject: [PATCH 072/223] fix(drop_params): honor string values in
 litellm_params and the LITELLM_DROP_PARAMS env var

get_litellm_params normalizes drop_params once, so a client-body string and
router_settings.default_litellm_params reach the anthropic, bedrock, and
azure_ai gates as a bool. LITELLM_DROP_PARAMS=false now means off. A value
that is neither a flag nor a string logs one warning and counts as unset,
both in the deployment validator and in litellm_settings.
---
 litellm/__init__.py                           |  3 +-
 litellm/litellm_core_utils/core_helpers.py    |  2 +-
 .../litellm_core_utils/get_litellm_params.py  |  5 +--
 litellm/proxy/proxy_server.py                 |  9 ++++-
 litellm/types/router.py                       |  7 +++-
 .../test_get_litellm_params.py                |  8 +++++
 .../proxy/proxy_server/test_proxy_config.py   | 34 +++++++++++++++++++
 .../test_litellm/test_drop_params_env_var.py  | 17 ++++++++++
 tests/test_litellm/types/test_router.py       | 15 ++++++--
 9 files changed, 92 insertions(+), 8 deletions(-)
 create mode 100644 tests/test_litellm/test_drop_params_env_var.py

diff --git a/litellm/__init__.py b/litellm/__init__.py
index 62477dd6264..36f143376ff 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -47,6 +47,7 @@ from typing import (
 )
 from litellm.types.integrations.datadog import DatadogInitParams
 from litellm.types.integrations.newrelic import NewRelicInitParams
+from litellm.litellm_core_utils.core_helpers import normalize_drop_params
 from litellm._logging import (
     set_verbose,
     _turn_on_debug,
@@ -238,7 +239,7 @@ token: Optional[str] = (
 )
 telemetry = True
 max_tokens: int = DEFAULT_MAX_TOKENS  # OpenAI Defaults
-drop_params = bool(os.getenv("LITELLM_DROP_PARAMS", False))
+drop_params = bool(normalize_drop_params(os.getenv("LITELLM_DROP_PARAMS")))
 modify_params = bool(os.getenv("LITELLM_MODIFY_PARAMS", False))
 use_chat_completions_url_for_anthropic_messages: bool = bool(
     os.getenv("LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES", False)
diff --git a/litellm/litellm_core_utils/core_helpers.py b/litellm/litellm_core_utils/core_helpers.py
index bd7a1b8f384..c1f1076c710 100644
--- a/litellm/litellm_core_utils/core_helpers.py
+++ b/litellm/litellm_core_utils/core_helpers.py
@@ -42,7 +42,7 @@ _DROP_PARAMS_BOOL: Final = TypeAdapter(bool)
 
 
 def normalize_drop_params(value: object) -> bool | None:
-    if isinstance(value, bool):
+    if value is None or isinstance(value, bool):
         return value
     try:
         return _DROP_PARAMS_BOOL.validate_python(value.strip() if isinstance(value, str) else value)
diff --git a/litellm/litellm_core_utils/get_litellm_params.py b/litellm/litellm_core_utils/get_litellm_params.py
index 1fd79db15a6..92b32d32dc0 100644
--- a/litellm/litellm_core_utils/get_litellm_params.py
+++ b/litellm/litellm_core_utils/get_litellm_params.py
@@ -2,6 +2,7 @@ from collections.abc import Mapping, MutableMapping
 from types import MappingProxyType
 from typing import Final
 
+from litellm.litellm_core_utils.core_helpers import normalize_drop_params
 from litellm.llms.openai.data_residency import infer_openai_data_residency
 
 AWS_CREDENTIAL_KWARGS_KEYS: Final = frozenset(
@@ -113,7 +114,7 @@ def get_litellm_params(
     custom_prompt_dict: dict | None = None,
     litellm_metadata: dict | None = None,
     disable_add_transform_inline_image_block: bool | None = None,
-    drop_params: bool | None = None,
+    drop_params: bool | str | None = None,
     prompt_id: str | None = None,
     prompt_variables: dict | None = None,
     async_call: bool | None = None,
@@ -175,7 +176,7 @@ def get_litellm_params(
         "custom_prompt_dict": custom_prompt_dict,
         "litellm_metadata": litellm_metadata,
         "disable_add_transform_inline_image_block": disable_add_transform_inline_image_block,
-        "drop_params": drop_params,
+        "drop_params": normalize_drop_params(drop_params),
         "prompt_id": prompt_id,
         "prompt_variables": prompt_variables,
         "async_call": async_call,
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 76acd414976..8a30274cc9f 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -5510,7 +5510,7 @@ class ProxyConfig:
                     parse_budget_reset_time(value)
                     setattr(litellm, key, value)
                 elif key == "drop_params":
-                    litellm.drop_params = bool(normalize_drop_params(value))
+                    litellm.drop_params = _drop_params_from_litellm_settings(value)
                 else:
                     verbose_proxy_logger.debug(
                         "%s setting litellm.%s=%s%s",
@@ -16915,6 +16915,13 @@ def _redact_config_param_value_for_logging(param_name: str | None, param_value:
     return param_value
 
 
+def _drop_params_from_litellm_settings(value: object) -> bool:
+    normalized: Final = normalize_drop_params(value)
+    if normalized is None and value is not None:
+        verbose_proxy_logger.warning("litellm_settings.drop_params=%r is not a flag value, treating it as off", value)
+    return bool(normalized)
+
+
 def _redact_general_setting_value(field_name: str, value: JsonValue, is_full_admin: bool) -> JsonValue:
     if is_full_admin:
         return value
diff --git a/litellm/types/router.py b/litellm/types/router.py
index e8aec027a5e..5c9eab30f3d 100644
--- a/litellm/types/router.py
+++ b/litellm/types/router.py
@@ -12,6 +12,7 @@ import httpx
 from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
 from typing_extensions import Protocol, ReadOnly, Required, TypedDict, runtime_checkable
 
+from litellm._logging import verbose_logger
 from litellm._uuid import uuid
 from litellm.litellm_core_utils.core_helpers import normalize_drop_params
 
@@ -412,7 +413,11 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams):
         normalized: Final = normalize_drop_params(value)
         if normalized is not None:
             return normalized
-        return value if isinstance(value, str) else None
+        if isinstance(value, str):
+            return value
+        if value is not None:
+            verbose_logger.warning("drop_params=%r is not a flag value, treating it as unset", value)
+        return None
 
     def __contains__(self, key) -> bool:
         # Define custom behavior for the 'in' operator
diff --git a/tests/test_litellm/litellm_core_utils/test_get_litellm_params.py b/tests/test_litellm/litellm_core_utils/test_get_litellm_params.py
index fb4cb494bee..f026ff57719 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_litellm_params.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_litellm_params.py
@@ -215,3 +215,11 @@ class TestMetadataFallsBackToLitellmMetadata:
         assert result["metadata"] is not litellm_metadata
         result["metadata"].pop("trace_id")
         assert litellm_metadata == {"trace_id": "trace-1"}
+
+
+@pytest.mark.parametrize(
+    "value, expected",
+    [("true", True), ("false", False), (" TRUE ", True), (True, True), (None, None), ("os.environ/DROP_PARAMS", None)],
+)
+def test_drop_params_strings_reach_litellm_params_as_flags(value, expected):
+    assert get_litellm_params(drop_params=value)["drop_params"] is expected
diff --git a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
index c57cd387d13..774c63d754a 100644
--- a/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
+++ b/tests/test_litellm/proxy/proxy_server/test_proxy_config.py
@@ -9,6 +9,7 @@ Pins covered:
 from __future__ import annotations
 
 import json
+import logging
 import os
 import re
 from types import SimpleNamespace
@@ -2474,6 +2475,39 @@ async def test_ProxyConfig_load_config_turns_litellm_settings_drop_params_string
     assert litellm.drop_params is expected
 
 
+@pytest.mark.asyncio
+async def test_ProxyConfig_load_config_resolves_a_litellm_settings_drop_params_env_ref(tmp_path, monkeypatch):
+    f = tmp_path / "c.yaml"
+    f.write_text("model_list: []\nlitellm_settings:\n  drop_params: os.environ/DROP_PARAMS_FROM_ENV\n")
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None)
+    monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", False)
+    monkeypatch.delenv("LITELLM_CONFIG_BUCKET_NAME", raising=False)
+    monkeypatch.setenv("DROP_PARAMS_FROM_ENV", "true")
+    monkeypatch.setattr(litellm, "drop_params", False)
+
+    await ProxyConfig().load_config(router=None, config_file_path=str(f))
+
+    assert litellm.drop_params is True
+
+
+@pytest.mark.asyncio
+async def test_ProxyConfig_load_config_warns_and_turns_off_a_non_flag_litellm_settings_drop_params(
+    tmp_path, monkeypatch, caplog
+):
+    f = tmp_path / "c.yaml"
+    f.write_text("model_list: []\nlitellm_settings:\n  drop_params: ture\n")
+    monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", None)
+    monkeypatch.setattr("litellm.proxy.proxy_server.store_model_in_db", False)
+    monkeypatch.delenv("LITELLM_CONFIG_BUCKET_NAME", raising=False)
+    monkeypatch.setattr(litellm, "drop_params", True)
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        await ProxyConfig().load_config(router=None, config_file_path=str(f))
+
+    assert litellm.drop_params is False
+    assert "litellm_settings.drop_params='ture' is not a flag value, treating it as off" in caplog.text
+
+
 # ---------------------------------------------------------------------------
 # ProxyConfig.decrypt_model_list_from_db
 # ---------------------------------------------------------------------------
diff --git a/tests/test_litellm/test_drop_params_env_var.py b/tests/test_litellm/test_drop_params_env_var.py
new file mode 100644
index 00000000000..a1ef3648f95
--- /dev/null
+++ b/tests/test_litellm/test_drop_params_env_var.py
@@ -0,0 +1,17 @@
+import os
+import subprocess
+import sys
+
+import pytest
+
+
+@pytest.mark.parametrize("configured, expected", [("false", "False"), ("true", "True")])
+def test_litellm_drop_params_env_var_is_parsed_as_a_flag(configured, expected):
+    result = subprocess.run(
+        [sys.executable, "-c", "import litellm; print(litellm.drop_params)"],
+        env={**os.environ, "LITELLM_DROP_PARAMS": configured},
+        capture_output=True,
+        text=True,
+        check=True,
+    )
+    assert result.stdout.strip() == expected
diff --git a/tests/test_litellm/types/test_router.py b/tests/test_litellm/types/test_router.py
index 47fc08167e3..fd933a9d993 100644
--- a/tests/test_litellm/types/test_router.py
+++ b/tests/test_litellm/types/test_router.py
@@ -1,3 +1,5 @@
+import logging
+
 import pytest
 
 from litellm.types.router import (
@@ -109,5 +111,14 @@ def test_drop_params_coerces_flags_and_keeps_unresolved_strings(value, expected)
 
 
 @pytest.mark.parametrize("value", [2, 2.5, [], {}])
-def test_drop_params_ignores_non_flag_non_string_values(value):
-    assert GenericLiteLLMParams(drop_params=value).drop_params is None
+def test_drop_params_ignores_non_flag_non_string_values_with_a_warning(value, caplog):
+    with caplog.at_level(logging.WARNING, logger="LiteLLM"):
+        assert GenericLiteLLMParams(drop_params=value).drop_params is None
+    assert f"drop_params={value!r} is not a flag value" in caplog.text
+
+
+@pytest.mark.parametrize("value", [True, "true", None, "os.environ/DROP_PARAMS", "v2:gcm:ciphertext-from-a-pre-fix-row"])
+def test_drop_params_flags_and_strings_log_nothing(value, caplog):
+    with caplog.at_level(logging.WARNING, logger="LiteLLM"):
+        GenericLiteLLMParams(drop_params=value)
+    assert caplog.text == ""

From 0c6d4c539942f5f5ac2a723735d020f6ad91444f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 19:06:30 -0700
Subject: [PATCH 073/223] feat(cost_map): say on the card that Last run is
 deployment-wide while provenance is per worker

---
 ui/litellm-dashboard/src/components/price_data_reload.test.tsx | 1 +
 ui/litellm-dashboard/src/components/price_data_reload.tsx      | 3 ++-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
index 3566ec2c3f2..4828d557053 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx
@@ -69,6 +69,7 @@ describe("PriceDataReload", () => {
     expect(screen.getByText('W/"eb8e9a53f4cc284b"')).toBeInTheDocument();
     expect(screen.getByText("Loaded at:")).toBeInTheDocument();
     expect(screen.getByText(/worker that answered this request/)).toBeInTheDocument();
+    expect(screen.getByText(/Last run time is the latest reload any worker recorded/)).toBeInTheDocument();
     expect(screen.getByText(new Date(provenance.loaded_at).toLocaleString())).toBeInTheDocument();
   });
 
diff --git a/ui/litellm-dashboard/src/components/price_data_reload.tsx b/ui/litellm-dashboard/src/components/price_data_reload.tsx
index 1363e306a31..bd2fb6721e0 100644
--- a/ui/litellm-dashboard/src/components/price_data_reload.tsx
+++ b/ui/litellm-dashboard/src/components/price_data_reload.tsx
@@ -137,7 +137,8 @@ const CostMapProvenanceRows: React.FC<{ sourceInfo: CostMapSourceInfo }> = ({ so
       <div className="flex items-center gap-1.5 text-xs text-muted-foreground">
         <Info className="size-3.5 shrink-0" />
         <span>
-          Reported by the worker that answered this request. Other workers pick up a reload on their next poll
+          Reported by the worker that answered this request. Other workers pick up a reload on their next poll, and the
+          Last run time is the latest reload any worker recorded
         </span>
       </div>
     )}

From 415bdbfd8f6ba9bd0422087cc34509bde962ce55 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 20:46:39 -0700
Subject: [PATCH 074/223] fix(azure_ai): charge the Model Router fee once and
 correct catalog limits

The router fee was folded into azure_ai.cost_per_token and then added again
by the additional_costs hook, so every routed request paid it twice. The hook
now owns the fee, the entry named by the deployment supplies the price, and a
response priced as the router entry itself is not charged again

model-router, gpt-chat-latest and cohere-command-a carry the limits from the
Foundry models page, and model-router and grok-4-20-* carry their retirement
dates. The router tests now run at the completion_cost level with a Logging
object, which is the path the proxy takes, and fail at the merge base
---
 litellm/cost_calculator.py                    |   9 +-
 litellm/llms/azure_ai/cost_calculator.py      |  87 ++-
 ...odel_prices_and_context_window_backup.json |  11 +-
 model_prices_and_context_window.json          |  11 +-
 .../azure_ai/test_azure_ai_cost_calculator.py | 561 ++++++------------
 ...azure_ai_foundry_catalog_model_metadata.py |  30 +-
 6 files changed, 246 insertions(+), 463 deletions(-)

diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 9a9d2ceda03..fc896a098b3 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -45,6 +45,9 @@ from litellm.llms.azure.cost_calculation import (
 from litellm.llms.azure_ai.cost_calculator import (
     cost_per_token as azure_ai_cost_per_token,
 )
+from litellm.llms.azure_ai.cost_calculator import (
+    is_router_fee_entry as azure_ai_is_router_fee_entry,
+)
 from litellm.llms.base_llm.search.transformation import SearchResponse
 from litellm.llms.bedrock.cost_calculation import (
     cost_per_token as bedrock_cost_per_token,
@@ -338,8 +341,6 @@ def cost_per_token(
     ### VERTEX LOCATION ###
     vertex_location: str | None = None,  # for Vertex AI regional-endpoint uplift (e.g. "us-east5", "global")
     response: Any | None = None,
-    ### REQUEST MODEL ###
-    request_model: str | None = None,  # original request model for router detection
 ) -> tuple[float, float]:
     """
     Calculates the cost per token for a given model, prompt tokens, and completion tokens.
@@ -661,7 +662,6 @@ def cost_per_token(
             model=model,
             usage=usage_block,
             response_time_ms=response_time_ms,
-            request_model=request_model,
             service_tier=service_tier,
         )
     else:
@@ -1659,11 +1659,10 @@ def completion_cost(
                     data_residency=data_residency,
                     vertex_location=vertex_location,
                     response=completion_response,
-                    request_model=request_model_for_cost,
                 )
 
                 # Get additional costs from provider (e.g., routing fees, infrastructure costs)
-                if custom_llm_provider == "azure_ai":
+                if custom_llm_provider == "azure_ai" and not azure_ai_is_router_fee_entry(model):
                     model_for_additional_costs = request_model_for_cost
                     if completion_response is not None:
                         hidden_params = getattr(completion_response, "_hidden_params", None) or {}
diff --git a/litellm/llms/azure_ai/cost_calculator.py b/litellm/llms/azure_ai/cost_calculator.py
index 141148f06e7..8a48860c0c4 100644
--- a/litellm/llms/azure_ai/cost_calculator.py
+++ b/litellm/llms/azure_ai/cost_calculator.py
@@ -31,6 +31,18 @@ def _is_azure_model_router(model: str) -> bool:
     return "model-router" in model_lower or "model_router" in model_lower or model_lower == "azure-model-router"
 
 
+ROUTER_FEE_ENTRY_NAMES: Final = frozenset({"model-router", "model_router"})
+
+
+def is_router_fee_entry(model: str) -> bool:
+    return model.lower().removeprefix("azure_ai/") in ROUTER_FEE_ENTRY_NAMES
+
+
+def _router_fee_entry_name(model: str) -> str:
+    entry_name: Final = model.lower().removeprefix("azure_ai/")
+    return entry_name if entry_name in ROUTER_FEE_ENTRY_NAMES else "model_router"
+
+
 def calculate_azure_model_router_flat_cost(model: str, prompt_tokens: int) -> float:
     """
     Calculate the flat cost for Azure AI Foundry Model Router.
@@ -44,26 +56,39 @@ def calculate_azure_model_router_flat_cost(model: str, prompt_tokens: int) -> fl
     """
     if not _is_azure_model_router(model):
         return 0.0
-
-    # Get the model router pricing from model_prices_and_context_window.json
-    # Use "model_router" as the key (without actual model name suffix)
-    model_info: Final = get_model_info(model="model_router", custom_llm_provider="azure_ai")
+    model_info: Final = get_model_info(model=_router_fee_entry_name(model), custom_llm_provider="azure_ai")
     router_flat_cost_per_token: Final = model_info.get("input_cost_per_token", 0)
-
     if router_flat_cost_per_token and router_flat_cost_per_token > 0:
         return prompt_tokens * router_flat_cost_per_token
-
     return 0.0
 
 
-ROUTER_FEE_ENTRY_NAMES: Final = frozenset({"model-router", "model_router"})
+def cost_per_token(
+    model: str,
+    usage: Usage,
+    response_time_ms: float | None = 0.0,
+    service_tier: str | None = None,
+) -> tuple[float, float]:
+    """
+    Price the response model's own tokens for Azure AI.
 
+    The Azure AI Foundry Model Router fee is not part of this: completion_cost charges it once through
+    AzureModelRouterConfig.calculate_additional_costs as the "Azure Model Router Flat Cost" line of the cost
+    breakdown, and a response priced as the router entry itself already carries it. A router deployment name
+    that is missing from the cost map prices at zero here so that line item is the whole cost.
 
-def _prices_router_fee_itself(model: str) -> bool:
-    return model.lower().rsplit("/", 1)[-1] in ROUTER_FEE_ENTRY_NAMES
+    Args:
+        model: str, the model name without provider prefix (from response)
+        usage: LiteLLM Usage block
+        response_time_ms: Optional response time in milliseconds
+        service_tier: Optional service tier the request was priced on
 
+    Returns:
+        Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
 
-def _base_cost_per_token(model: str, usage: Usage, service_tier: str | None) -> tuple[float, float] | None:
+    Raises:
+        ValueError: If a model that is not a Model Router name is missing from the cost map
+    """
     try:
         return generic_cost_per_token(
             model=model, usage=usage, custom_llm_provider="azure_ai", service_tier=service_tier
@@ -72,44 +97,6 @@ def _base_cost_per_token(model: str, usage: Usage, service_tier: str | None) ->
         if not _is_azure_model_router(model):
             raise
         verbose_logger.debug(
-            "Azure AI Model Router: model '%s' not in cost map, calculating routing flat cost only. Error: %s", model, e
+            "Azure AI Model Router: model '%s' not in cost map, only the routing fee applies. Error: %s", model, e
         )
-        return None
-
-
-def cost_per_token(
-    model: str,
-    usage: Usage,
-    response_time_ms: float | None = 0.0,
-    request_model: str | None = None,
-    service_tier: str | None = None,
-) -> tuple[float, float]:
-    """
-    Calculate the cost per token for Azure AI models.
-
-    For Azure AI Foundry Model Router the routing fee (the azure_ai/model_router entry, $0.14 per
-    million input tokens) is added on top of the routed model's cost. When the response model is
-    the router entry itself, generic_cost_per_token has already charged that fee.
-
-    Args:
-        model: str, the model name without provider prefix (from response)
-        usage: LiteLLM Usage block
-        response_time_ms: Optional response time in milliseconds
-        request_model: Optional[str], the original request model name (to detect router usage)
-
-    Returns:
-        Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
-
-    Raises:
-        ValueError: If the model is not found in the cost map and cost cannot be calculated
-            (except for Model Router models where we return just the routing flat cost)
-    """
-    is_router_request: Final = _is_azure_model_router(model) or (
-        request_model is not None and _is_azure_model_router(request_model)
-    )
-    base_cost: Final = _base_cost_per_token(model=model, usage=usage, service_tier=service_tier)
-    prompt_cost, completion_cost = base_cost if base_cost is not None else (0.0, 0.0)
-    if not is_router_request or (base_cost is not None and _prices_router_fee_itself(model)):
-        return prompt_cost, completion_cost
-    router_flat_cost: Final = calculate_azure_model_router_flat_cost(request_model or model, usage.prompt_tokens)
-    return prompt_cost + router_flat_cost, completion_cost
+        return 0.0, 0.0
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 6649fa831d7..483ebd2431c 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -3586,7 +3586,7 @@
         "deprecation_date": "2026-12-02",
         "input_cost_per_token": 5e-06,
         "litellm_provider": "azure_ai",
-        "max_input_tokens": 200000,
+        "max_input_tokens": 272000,
         "max_output_tokens": 128000,
         "max_tokens": 128000,
         "mode": "chat",
@@ -4068,10 +4068,11 @@
         "comment": "Flat cost of $0.14 per M input tokens for Azure AI Foundry Model Router infrastructure. Use pattern: azure_ai/model_router/<deployment-name> where deployment-name is your Azure deployment (e.g., azure-model-router)"
     },
     "azure_ai/model-router": {
+        "deprecation_date": "2027-05-20",
         "input_cost_per_token": 1.4e-07,
         "output_cost_per_token": 0,
         "litellm_provider": "azure_ai",
-        "max_input_tokens": 1048576,
+        "max_input_tokens": 200000,
         "max_output_tokens": 32768,
         "max_tokens": 32768,
         "mode": "chat",
@@ -10393,8 +10394,8 @@
         "input_cost_per_token": 2.5e-06,
         "litellm_provider": "azure_ai",
         "max_input_tokens": 131072,
-        "max_output_tokens": 4096,
-        "max_tokens": 4096,
+        "max_output_tokens": 8182,
+        "max_tokens": 8182,
         "mode": "chat",
         "output_cost_per_token": 1e-05,
         "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/cohere/",
@@ -10753,6 +10754,7 @@
         "supports_web_search": true
     },
     "azure_ai/grok-4-20-reasoning": {
+        "deprecation_date": "2027-04-06",
         "input_cost_per_token": 1.25e-06,
         "litellm_provider": "azure_ai",
         "max_input_tokens": 262000,
@@ -10769,6 +10771,7 @@
         "supports_reasoning": true
     },
     "azure_ai/grok-4-20-non-reasoning": {
+        "deprecation_date": "2027-04-06",
         "input_cost_per_token": 1.25e-06,
         "litellm_provider": "azure_ai",
         "max_input_tokens": 262000,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 6649fa831d7..483ebd2431c 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -3586,7 +3586,7 @@
         "deprecation_date": "2026-12-02",
         "input_cost_per_token": 5e-06,
         "litellm_provider": "azure_ai",
-        "max_input_tokens": 200000,
+        "max_input_tokens": 272000,
         "max_output_tokens": 128000,
         "max_tokens": 128000,
         "mode": "chat",
@@ -4068,10 +4068,11 @@
         "comment": "Flat cost of $0.14 per M input tokens for Azure AI Foundry Model Router infrastructure. Use pattern: azure_ai/model_router/<deployment-name> where deployment-name is your Azure deployment (e.g., azure-model-router)"
     },
     "azure_ai/model-router": {
+        "deprecation_date": "2027-05-20",
         "input_cost_per_token": 1.4e-07,
         "output_cost_per_token": 0,
         "litellm_provider": "azure_ai",
-        "max_input_tokens": 1048576,
+        "max_input_tokens": 200000,
         "max_output_tokens": 32768,
         "max_tokens": 32768,
         "mode": "chat",
@@ -10393,8 +10394,8 @@
         "input_cost_per_token": 2.5e-06,
         "litellm_provider": "azure_ai",
         "max_input_tokens": 131072,
-        "max_output_tokens": 4096,
-        "max_tokens": 4096,
+        "max_output_tokens": 8182,
+        "max_tokens": 8182,
         "mode": "chat",
         "output_cost_per_token": 1e-05,
         "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/cohere/",
@@ -10753,6 +10754,7 @@
         "supports_web_search": true
     },
     "azure_ai/grok-4-20-reasoning": {
+        "deprecation_date": "2027-04-06",
         "input_cost_per_token": 1.25e-06,
         "litellm_provider": "azure_ai",
         "max_input_tokens": 262000,
@@ -10769,6 +10771,7 @@
         "supports_reasoning": true
     },
     "azure_ai/grok-4-20-non-reasoning": {
+        "deprecation_date": "2027-04-06",
         "input_cost_per_token": 1.25e-06,
         "litellm_provider": "azure_ai",
         "max_input_tokens": 262000,
diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
index 80cd99bd46b..20d0ec03a2a 100644
--- a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
@@ -2,20 +2,25 @@
 Test Azure AI cost calculator, especially Model Router flat cost.
 """
 
+from datetime import datetime
+from typing import Final
+
 import pytest
 
+import litellm
+from litellm.cost_calculator import completion_cost
+from litellm.litellm_core_utils.litellm_logging import Logging
 from litellm.llms.azure_ai.cost_calculator import (
     _is_azure_model_router,
+    calculate_azure_model_router_flat_cost,
     cost_per_token,
 )
-from litellm.types.utils import Usage
+from litellm.types.utils import Choices, Message, ModelResponse, Usage
 from litellm.utils import get_model_info
 
 # Get the flat cost from model_prices_and_context_window.json
 _model_info = get_model_info(model="model_router", custom_llm_provider="azure_ai")
-AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS = (
-    _model_info.get("input_cost_per_token", 0) * 1_000_000
-)
+AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS = _model_info.get("input_cost_per_token", 0) * 1_000_000
 
 
 class TestAzureModelRouterDetection:
@@ -80,377 +85,172 @@ class TestAzureModelRouterPrefix:
         assert result == expected
 
 
+ROUTER_FEE_PER_TOKEN: Final = AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000
+ROUTED_MODEL: Final = "gpt-4.1-nano-2025-04-14"
+ROUTED_USAGE: Final = Usage(prompt_tokens=5000, completion_tokens=2000, total_tokens=7000)
+ROUTED_FEE: Final = 5000 * ROUTER_FEE_PER_TOKEN
+
+
+def _router_logging(request_model: str) -> Logging:
+    return Logging(
+        model=request_model,
+        messages=[{"role": "user", "content": "Hello"}],
+        stream=False,
+        call_type="completion",
+        start_time=datetime.now(),
+        litellm_call_id="test-123",
+        function_id="test-function",
+    )
+
+
+def _azure_ai_response(response_model: str, litellm_model_name: str | None = None) -> ModelResponse:
+    response: Final = ModelResponse(
+        id="test-123",
+        choices=[Choices(finish_reason="stop", index=0, message=Message(role="assistant", content="Hello"))],
+        created=1234567890,
+        model=response_model,
+        object="chat.completion",
+        usage=ROUTED_USAGE,
+    )
+    response._hidden_params = (
+        {"custom_llm_provider": "azure_ai"}
+        if litellm_model_name is None
+        else {"custom_llm_provider": "azure_ai", "litellm_model_name": litellm_model_name}
+    )
+    return response
+
+
+def _routed_model_cost() -> tuple[float, float]:
+    routed_info: Final = get_model_info(model=ROUTED_MODEL, custom_llm_provider="azure_ai")
+    return (
+        ROUTED_USAGE.prompt_tokens * (routed_info["input_cost_per_token"] or 0.0),
+        ROUTED_USAGE.completion_tokens * (routed_info["output_cost_per_token"] or 0.0),
+    )
+
+
+@pytest.mark.usefixtures("local_model_cost_map")
 class TestAzureModelRouterFlatCost:
-    """Test Azure AI Foundry Model Router flat cost calculation."""
+    """cost_per_token prices the response model only; the router fee is the cost breakdown's own line item."""
 
-    def test_model_router_flat_cost_basic(self):
-        """Test that flat cost is added for Model Router requests."""
-        model = "azure-model-router"
-        usage = Usage(
-            prompt_tokens=1000,
-            completion_tokens=500,
-            total_tokens=1500,
+    def test_unmapped_router_deployment_name_prices_at_zero(self) -> None:
+        usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
+        assert cost_per_token(model="azure-model-router", usage=usage) == (0.0, 0.0)
+
+    @pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"])
+    def test_router_entry_prices_its_own_fee(self, router_entry_name: str) -> None:
+        usage = Usage(prompt_tokens=1_000_000, completion_tokens=0, total_tokens=1_000_000)
+        prompt_cost, completion_cost_usd = cost_per_token(model=router_entry_name, usage=usage)
+        assert prompt_cost == pytest.approx(0.14, rel=1e-9)
+        assert completion_cost_usd == 0.0
+
+    def test_routed_model_is_priced_as_itself(self) -> None:
+        routed_prompt_cost, routed_completion_cost = _routed_model_cost()
+        prompt_cost, completion_cost_usd = cost_per_token(model=ROUTED_MODEL, usage=ROUTED_USAGE)
+        assert routed_prompt_cost > 0
+        assert prompt_cost == pytest.approx(routed_prompt_cost, rel=1e-9)
+        assert completion_cost_usd == pytest.approx(routed_completion_cost, rel=1e-9)
+
+    def test_unmapped_model_that_is_not_a_router_name_raises(self) -> None:
+        usage = Usage(prompt_tokens=10, completion_tokens=10, total_tokens=20)
+        with pytest.raises(Exception, match="no-such-azure-ai-model"):
+            cost_per_token(model="no-such-azure-ai-model", usage=usage)
+
+    def test_flat_cost_helper(self) -> None:
+        assert calculate_azure_model_router_flat_cost(
+            model="azure-model-router", prompt_tokens=10_000
+        ) == pytest.approx(0.0014, rel=1e-9)
+        assert calculate_azure_model_router_flat_cost(model="gpt-5-nano", prompt_tokens=10_000) == 0.0
+
+    def test_flat_cost_reads_the_fee_from_the_deployment_named_entry(self) -> None:
+        litellm.register_model(
+            {"azure_ai/model-router": {"input_cost_per_token": 2e-07, "litellm_provider": "azure_ai", "mode": "chat"}}
         )
-
-        prompt_cost, completion_cost = cost_per_token(model=model, usage=usage)
-
-        # Calculate expected flat cost
-        expected_flat_cost = (
-            usage.prompt_tokens
-            * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS
-            / 1_000_000
+        litellm.get_model_info.cache_clear()
+        assert calculate_azure_model_router_flat_cost(model="model-router", prompt_tokens=1_000_000) == pytest.approx(
+            0.2, rel=1e-9
         )
-
-        # Flat cost should be $0.00014 (1000 tokens × $0.14 / 1M tokens)
-        assert expected_flat_cost == pytest.approx(0.00014, rel=1e-9)
-
-        # Prompt cost should include the flat cost
-        # (plus any base cost from the actual model used, which might be 0 if not in model_cost)
-        assert prompt_cost >= expected_flat_cost
-        print(
-            f"Model Router flat cost for {usage.prompt_tokens} tokens: ${expected_flat_cost:.6f}"
-        )
-        print(f"Total prompt cost: ${prompt_cost:.6f}")
-
-    def test_model_router_flat_cost_large_request(self):
-        """Test flat cost calculation for larger requests."""
-        model = "model-router"
-        usage = Usage(
-            prompt_tokens=100_000,
-            completion_tokens=50_000,
-            total_tokens=150_000,
-        )
-
-        prompt_cost, completion_cost = cost_per_token(model=model, usage=usage)
-
-        # Calculate expected flat cost
-        expected_flat_cost = (
-            usage.prompt_tokens
-            * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS
-            / 1_000_000
-        )
-
-        # Flat cost should be $0.014 (100k tokens × $0.14 / 1M tokens)
-        assert expected_flat_cost == pytest.approx(0.014, rel=1e-9)
-        # Use approx for floating-point comparison
-        assert prompt_cost >= expected_flat_cost or prompt_cost == pytest.approx(
-            expected_flat_cost, rel=1e-9
-        )
-        print(
-            f"Model Router flat cost for {usage.prompt_tokens} tokens: ${expected_flat_cost:.6f}"
-        )
-        print(f"Total prompt cost: ${prompt_cost:.6f}")
-
-    def test_model_router_flat_cost_1m_tokens(self):
-        """Test flat cost for exactly 1 million input tokens."""
-        model = "azure-model-router"
-        usage = Usage(
-            prompt_tokens=1_000_000,
-            completion_tokens=100_000,
-            total_tokens=1_100_000,
-        )
-
-        prompt_cost, completion_cost = cost_per_token(model=model, usage=usage)
-
-        # Calculate expected flat cost
-        expected_flat_cost = AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS
-
-        # Flat cost should be exactly $0.14 for 1M tokens
-        assert expected_flat_cost == pytest.approx(0.14, rel=1e-9)
-        assert prompt_cost >= expected_flat_cost
-        print(f"Model Router flat cost for 1M tokens: ${expected_flat_cost:.6f}")
-        print(f"Total prompt cost: ${prompt_cost:.6f}")
-
-    def test_non_model_router_no_flat_cost(self):
-        """Test that non-Model Router models don't get the flat cost."""
-        model = "gpt-4o"
-        usage = Usage(
-            prompt_tokens=1000,
-            completion_tokens=500,
-            total_tokens=1500,
-        )
-
-        prompt_cost, completion_cost = cost_per_token(model=model, usage=usage)
-
-        # No flat cost should be added for non-Model Router models
-        # The cost might be 0 or based on the model's pricing
-        print(f"Non-Model Router prompt cost: ${prompt_cost:.6f}")
-        # We just ensure it doesn't crash and returns valid values
-        assert prompt_cost >= 0
-        assert completion_cost >= 0
-
-    def test_model_router_with_cached_tokens(self):
-        """Test Model Router flat cost with cached tokens."""
-        model = "azure-model-router"
-        usage = Usage(
-            prompt_tokens=2000,
-            completion_tokens=800,
-            total_tokens=2800,
-            cache_read_input_tokens=500,
-            cache_creation_input_tokens=200,
-        )
-
-        prompt_cost, completion_cost = cost_per_token(model=model, usage=usage)
-
-        # Flat cost is based on ALL prompt tokens (including cached)
-        expected_flat_cost = (
-            usage.prompt_tokens
-            * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS
-            / 1_000_000
-        )
-
-        assert expected_flat_cost == pytest.approx(0.00028, rel=1e-9)
-        assert prompt_cost >= expected_flat_cost
-        print(
-            f"Model Router flat cost with caching for {usage.prompt_tokens} tokens: ${expected_flat_cost:.6f}"
-        )
-        print(f"Total prompt cost: ${prompt_cost:.6f}")
-
-    def test_router_flat_cost_when_response_has_actual_model(self):
-        """
-        Test that router flat cost is added when request was via router but response
-        contains the actual model (e.g., gpt-5-nano).
-
-        This is the key fix: Azure returns the actual model in the response, but we
-        must still add the router flat cost because the request was made via model router.
-        """
-        usage = Usage(
-            prompt_tokens=10000,
-            completion_tokens=5000,
-            total_tokens=15000,
-        )
-
-        # Response model is the actual model Azure used (not a router name)
-        response_model = "gpt-5-nano-2025-08-07"
-        # Request model is the router - user called azure_ai/model_router/model-router
-        request_model = "azure_ai/model_router/model-router"
-
-        prompt_cost, completion_cost = cost_per_token(
-            model=response_model,
-            usage=usage,
-            request_model=request_model,
-        )
-
-        # Expected: model cost (from gpt-5-nano) + router flat cost
-        expected_flat_cost = (
-            usage.prompt_tokens
-            * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS
-            / 1_000_000
-        )
-        assert expected_flat_cost == pytest.approx(0.0014, rel=1e-9)
-
-        # Total cost should be model cost + flat cost
-        total_cost = prompt_cost + completion_cost
-        assert total_cost >= expected_flat_cost
-
-        # Prompt cost should include both model prompt cost and router flat cost
-        assert prompt_cost >= expected_flat_cost
+        assert calculate_azure_model_router_flat_cost(
+            model="azure-model-router", prompt_tokens=1_000_000
+        ) == pytest.approx(0.14, rel=1e-9)
 
 
+@pytest.mark.usefixtures("local_model_cost_map")
 class TestAzureModelRouterCostBreakdown:
-    """Test that Azure Model Router flat cost is tracked in cost breakdown."""
+    """completion_cost charges the router fee exactly once, as the cost breakdown's additional cost line."""
 
-    def test_flat_cost_calculation_helper(self):
-        """Test that flat cost can be calculated using the helper function."""
-        from litellm.llms.azure_ai.cost_calculator import (
-            calculate_azure_model_router_flat_cost,
-        )
-
-        model = "azure-model-router"
-        prompt_tokens = 10000
-
-        # Calculate flat cost using helper function
-        flat_cost = calculate_azure_model_router_flat_cost(
-            model=model, prompt_tokens=prompt_tokens
-        )
-
-        # Expected flat cost
-        expected_flat_cost = (
-            prompt_tokens * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000
-        )
-
-        assert flat_cost > 0
-        assert flat_cost == pytest.approx(expected_flat_cost, rel=1e-9)
-        print(f"Flat cost calculated: ${flat_cost:.6f}")
-
-    def test_flat_cost_integration_with_completion_cost(self):
-        """Test that flat cost is properly integrated into completion_cost calculation."""
-        import litellm
-        from litellm.cost_calculator import completion_cost
-        from litellm.types.utils import Choices, Message, ModelResponse, Usage
-
-        # Create a mock response for azure_ai model router
-        response = ModelResponse(
-            id="test-123",
-            choices=[
-                Choices(
-                    finish_reason="stop",
-                    index=0,
-                    message=Message(
-                        role="assistant",
-                        content="Test response",
-                    ),
-                )
-            ],
-            created=1234567890,
-            model="azure-model-router",
-            object="chat.completion",
-            usage=Usage(
-                prompt_tokens=5000,
-                completion_tokens=2000,
-                total_tokens=7000,
-            ),
-        )
-
-        # Set hidden params for provider
-        response._hidden_params = {"custom_llm_provider": "azure_ai"}
-
-        # Calculate cost
+    def test_unmapped_router_deployment_name_costs_only_the_fee(self) -> None:
         cost = completion_cost(
-            completion_response=response,
+            completion_response=_azure_ai_response("azure-model-router"),
             model="azure-model-router",
             custom_llm_provider="azure_ai",
         )
+        assert cost == pytest.approx(ROUTED_FEE, rel=1e-9)
 
-        # Expected flat cost
-        expected_flat_cost = (
-            5000 * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000
-        )
-
-        # Cost should include the flat cost (use approx for floating-point comparison)
-        assert cost >= expected_flat_cost or cost == pytest.approx(
-            expected_flat_cost, rel=1e-9
-        )
-        print(f"Total cost with flat fee: ${cost:.6f}")
-        print(f"Expected minimum flat cost: ${expected_flat_cost:.6f}")
-
-    def test_additional_costs_in_cost_breakdown(self):
-        """Test that Azure Model Router flat cost appears in additional_costs dict."""
-        from datetime import datetime
-
-        from litellm.cost_calculator import completion_cost
-        from litellm.litellm_core_utils.litellm_logging import Logging
-        from litellm.types.utils import Choices, Message, ModelResponse, Usage
-
-        # Create logging object with required parameters
-        logging_obj = Logging(
-            model="azure-model-router",
-            messages=[{"role": "user", "content": "Hello"}],
-            stream=False,
-            call_type="completion",
-            start_time=datetime.now(),
-            litellm_call_id="test-123",
-            function_id="test-function",
-        )
-
-        # Create a mock response for azure_ai model router
-        response = ModelResponse(
-            id="test-123",
-            choices=[
-                Choices(
-                    finish_reason="stop",
-                    index=0,
-                    message=Message(
-                        role="assistant",
-                        content="Test response",
-                    ),
-                )
-            ],
-            created=1234567890,
-            model="azure-model-router",
-            object="chat.completion",
-            usage=Usage(
-                prompt_tokens=5000,
-                completion_tokens=2000,
-                total_tokens=7000,
-            ),
-        )
-
-        # Set hidden params for provider
-        response._hidden_params = {"custom_llm_provider": "azure_ai"}
-
-        # Calculate cost with logging object
+    def test_fee_is_the_breakdown_line_item_for_an_unmapped_router_name(self) -> None:
+        logging_obj = _router_logging("azure-model-router")
         cost = completion_cost(
-            completion_response=response,
+            completion_response=_azure_ai_response("azure-model-router"),
             model="azure-model-router",
             custom_llm_provider="azure_ai",
             litellm_logging_obj=logging_obj,
         )
-
-        # Check that cost breakdown contains additional_costs
-        assert hasattr(logging_obj, "cost_breakdown")
-        assert logging_obj.cost_breakdown is not None
-        assert "additional_costs" in logging_obj.cost_breakdown
-        assert isinstance(logging_obj.cost_breakdown["additional_costs"], dict)
-
-        # Check that the Azure Model Router flat cost is in additional_costs
-        additional_costs = logging_obj.cost_breakdown["additional_costs"]
-        assert "Azure Model Router Flat Cost" in additional_costs
-
-        # Verify the flat cost value
-        expected_flat_cost = (
-            5000 * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000
+        breakdown = logging_obj.cost_breakdown
+        assert breakdown is not None
+        assert breakdown["input_cost"] == 0.0
+        assert breakdown.get("additional_costs") == pytest.approx(
+            {"Azure Model Router Flat Cost": ROUTED_FEE}, rel=1e-9
         )
-        actual_flat_cost = additional_costs["Azure Model Router Flat Cost"]
-        assert actual_flat_cost == pytest.approx(expected_flat_cost, rel=1e-9)
+        assert cost == pytest.approx(ROUTED_FEE, rel=1e-9)
 
-        print(f"Additional costs in breakdown: {additional_costs}")
-        print(f"Azure Model Router Flat Cost: ${actual_flat_cost:.6f}")
-
-    def test_additional_costs_when_response_has_actual_model_via_hidden_params(self):
-        """additional_costs populated when response has actual model but request was via model router (hidden_params)."""
-        from datetime import datetime
-
-        from litellm.cost_calculator import completion_cost
-        from litellm.litellm_core_utils.litellm_logging import Logging
-        from litellm.types.utils import Choices, Message, ModelResponse, Usage
-
-        logging_obj = Logging(
-            model="gpt-4.1-nano-2025-04-14",
-            messages=[{"role": "user", "content": "Hello"}],
-            stream=False,
-            call_type="completion",
-            start_time=datetime.now(),
-            litellm_call_id="test-123",
-            function_id="test-function",
-        )
-        response = ModelResponse(
-            id="test-123",
-            choices=[
-                Choices(
-                    finish_reason="stop",
-                    index=0,
-                    message=Message(role="assistant", content="Hello"),
-                )
-            ],
-            created=1234567890,
-            model="gpt-4.1-nano-2025-04-14",
-            object="chat.completion",
-            usage=Usage(prompt_tokens=5000, completion_tokens=2000, total_tokens=7000),
-        )
-        response._hidden_params = {
-            "custom_llm_provider": "azure_ai",
-            "litellm_model_name": "azure_ai/model-router",
-        }
+    def test_router_request_with_routed_response_charges_the_fee_once(self) -> None:
+        routed_prompt_cost, routed_completion_cost = _routed_model_cost()
+        logging_obj = _router_logging("model-router")
         cost = completion_cost(
-            completion_response=response,
-            model="gpt-4.1-nano-2025-04-14",
+            completion_response=_azure_ai_response(ROUTED_MODEL),
+            model=ROUTED_MODEL,
             custom_llm_provider="azure_ai",
             litellm_logging_obj=logging_obj,
         )
-        expected_flat_cost = (
-            5000 * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000
+        breakdown = logging_obj.cost_breakdown
+        assert breakdown is not None
+        assert breakdown["input_cost"] == pytest.approx(routed_prompt_cost, rel=1e-9)
+        assert breakdown["output_cost"] == pytest.approx(routed_completion_cost, rel=1e-9)
+        assert breakdown.get("additional_costs") == pytest.approx(
+            {"Azure Model Router Flat Cost": ROUTED_FEE}, rel=1e-9
         )
-        assert cost >= expected_flat_cost
-        assert logging_obj.cost_breakdown is not None
-        assert "additional_costs" in logging_obj.cost_breakdown
-        assert (
-            "Azure Model Router Flat Cost"
-            in logging_obj.cost_breakdown["additional_costs"]
+        assert cost == pytest.approx(routed_prompt_cost + routed_completion_cost + ROUTED_FEE, rel=1e-9)
+
+    def test_routed_response_named_by_hidden_params_charges_the_fee_once(self) -> None:
+        routed_prompt_cost, routed_completion_cost = _routed_model_cost()
+        logging_obj = _router_logging(ROUTED_MODEL)
+        cost = completion_cost(
+            completion_response=_azure_ai_response(ROUTED_MODEL, litellm_model_name="azure_ai/model-router"),
+            model=ROUTED_MODEL,
+            custom_llm_provider="azure_ai",
+            litellm_logging_obj=logging_obj,
         )
-        assert logging_obj.cost_breakdown["additional_costs"][
-            "Azure Model Router Flat Cost"
-        ] == pytest.approx(expected_flat_cost, rel=1e-9)
+        breakdown = logging_obj.cost_breakdown
+        assert breakdown is not None
+        assert breakdown["input_cost"] == pytest.approx(routed_prompt_cost, rel=1e-9)
+        assert breakdown.get("additional_costs") == pytest.approx(
+            {"Azure Model Router Flat Cost": ROUTED_FEE}, rel=1e-9
+        )
+        assert cost == pytest.approx(routed_prompt_cost + routed_completion_cost + ROUTED_FEE, rel=1e-9)
+
+    @pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"])
+    def test_response_priced_as_the_router_entry_charges_the_fee_once(self, router_entry_name: str) -> None:
+        logging_obj = _router_logging(router_entry_name)
+        cost = completion_cost(
+            completion_response=_azure_ai_response(router_entry_name),
+            model=router_entry_name,
+            custom_llm_provider="azure_ai",
+            litellm_logging_obj=logging_obj,
+        )
+        breakdown = logging_obj.cost_breakdown
+        assert breakdown is not None
+        assert "additional_costs" not in breakdown
+        assert breakdown["input_cost"] == pytest.approx(ROUTED_FEE, rel=1e-9)
+        assert cost == pytest.approx(ROUTED_FEE, rel=1e-9)
 
 
 class TestAzureAIServiceTierCostCalculation:
@@ -459,26 +259,27 @@ class TestAzureAIServiceTierCostCalculation:
     @pytest.fixture(autouse=True)
     def register_test_model(self):
         import litellm
-        litellm.register_model(model_cost={
-            "test-azure-ai-model": {
-                "input_cost_per_token": 0.001,
-                "output_cost_per_token": 0.002,
-                "input_cost_per_token_priority": 0.01,
-                "output_cost_per_token_priority": 0.02,
-                "input_cost_per_token_flex": 0.0005,
-                "output_cost_per_token_flex": 0.001,
-                "litellm_provider": "azure_ai",
-                "max_tokens": 8192,
+
+        litellm.register_model(
+            model_cost={
+                "test-azure-ai-model": {
+                    "input_cost_per_token": 0.001,
+                    "output_cost_per_token": 0.002,
+                    "input_cost_per_token_priority": 0.01,
+                    "output_cost_per_token_priority": 0.02,
+                    "input_cost_per_token_flex": 0.0005,
+                    "output_cost_per_token_flex": 0.001,
+                    "litellm_provider": "azure_ai",
+                    "max_tokens": 8192,
+                }
             }
-        })
+        )
 
     def test_service_tier_priority_higher_cost(self):
         """Priority tier should cost more than standard for azure_ai."""
         usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
 
-        standard_prompt, standard_completion = cost_per_token(
-            model="test-azure-ai-model", usage=usage
-        )
+        standard_prompt, standard_completion = cost_per_token(model="test-azure-ai-model", usage=usage)
         priority_prompt, priority_completion = cost_per_token(
             model="test-azure-ai-model", usage=usage, service_tier="priority"
         )
@@ -490,12 +291,8 @@ class TestAzureAIServiceTierCostCalculation:
         """Flex tier should cost less than standard for azure_ai."""
         usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
 
-        standard_prompt, standard_completion = cost_per_token(
-            model="test-azure-ai-model", usage=usage
-        )
-        flex_prompt, flex_completion = cost_per_token(
-            model="test-azure-ai-model", usage=usage, service_tier="flex"
-        )
+        standard_prompt, standard_completion = cost_per_token(model="test-azure-ai-model", usage=usage)
+        flex_prompt, flex_completion = cost_per_token(model="test-azure-ai-model", usage=usage, service_tier="flex")
 
         assert flex_prompt < standard_prompt
         assert flex_completion < standard_completion
@@ -528,29 +325,3 @@ def test_mai_thinking_1_model_info_and_cost(local_model_cost_map):
     assert model_info["supports_function_calling"] is True
     assert prompt_cost == pytest.approx(2.0)
     assert completion_cost == pytest.approx(8.0)
-
-
-@pytest.mark.usefixtures("local_model_cost_map")
-@pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"])
-def test_router_entry_as_response_model_charges_the_fee_once(router_entry_name: str) -> None:
-    usage = Usage(prompt_tokens=1_000_000, completion_tokens=0, total_tokens=1_000_000)
-    prompt_cost, completion_cost = cost_per_token(model=router_entry_name, usage=usage)
-    assert prompt_cost == pytest.approx(0.14, rel=1e-9)
-    assert completion_cost == 0.0
-
-
-@pytest.mark.usefixtures("local_model_cost_map")
-def test_unmapped_router_deployment_name_still_charges_the_fee() -> None:
-    usage = Usage(prompt_tokens=1_000_000, completion_tokens=0, total_tokens=1_000_000)
-    prompt_cost, completion_cost = cost_per_token(model="azure-model-router", usage=usage)
-    assert prompt_cost == pytest.approx(0.14, rel=1e-9)
-    assert completion_cost == 0.0
-
-
-@pytest.mark.usefixtures("local_model_cost_map")
-def test_routed_model_response_adds_the_fee_on_top() -> None:
-    usage = Usage(prompt_tokens=1_000_000, completion_tokens=0, total_tokens=1_000_000)
-    routed_prompt_cost, _ = cost_per_token(model="gpt-5-nano", usage=usage)
-    prompt_cost, _ = cost_per_token(model="gpt-5-nano", usage=usage, request_model="azure_ai/model-router")
-    assert routed_prompt_cost > 0
-    assert prompt_cost == pytest.approx(routed_prompt_cost + 0.14, rel=1e-9)
diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
index 1b4e83438a6..fab9be1b42c 100644
--- a/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
@@ -26,6 +26,7 @@ class TokenPricedCatalogModel:
     max_input_tokens: int
     max_output_tokens: int
     cache_read_input_token_cost: float | None
+    deprecation_date: str | None
     supported_flags: tuple[str, ...]
 
 
@@ -36,9 +37,10 @@ TOKEN_PRICED_MODELS: Final = (
         source=AZURE_OPENAI_PRICING,
         input_cost_per_token=5e-06,
         output_cost_per_token=3e-05,
-        max_input_tokens=200000,
+        max_input_tokens=272000,
         max_output_tokens=128000,
         cache_read_input_token_cost=5e-07,
+        deprecation_date="2026-12-02",
         supported_flags=(
             "supports_function_calling",
             "supports_prompt_caching",
@@ -58,7 +60,13 @@ TOKEN_PRICED_MODELS: Final = (
         max_input_tokens=200000,
         max_output_tokens=100000,
         cache_read_input_token_cost=3.75e-07,
-        supported_flags=("supports_function_calling", "supports_prompt_caching", "supports_reasoning", "supports_vision"),
+        deprecation_date="2026-11-15",
+        supported_flags=(
+            "supports_function_calling",
+            "supports_prompt_caching",
+            "supports_reasoning",
+            "supports_vision",
+        ),
     ),
     TokenPricedCatalogModel(
         catalog_name="model-router",
@@ -66,9 +74,10 @@ TOKEN_PRICED_MODELS: Final = (
         source=FOUNDRY_AOAI_PRICING,
         input_cost_per_token=1.4e-07,
         output_cost_per_token=0.0,
-        max_input_tokens=1048576,
+        max_input_tokens=200000,
         max_output_tokens=32768,
         cache_read_input_token_cost=None,
+        deprecation_date="2027-05-20",
         supported_flags=(),
     ),
     TokenPricedCatalogModel(
@@ -78,8 +87,9 @@ TOKEN_PRICED_MODELS: Final = (
         input_cost_per_token=2.5e-06,
         output_cost_per_token=1e-05,
         max_input_tokens=131072,
-        max_output_tokens=4096,
+        max_output_tokens=8182,
         cache_read_input_token_cost=None,
+        deprecation_date=None,
         supported_flags=("supports_function_calling", "supports_tool_choice"),
     ),
     TokenPricedCatalogModel(
@@ -91,6 +101,7 @@ TOKEN_PRICED_MODELS: Final = (
         max_input_tokens=262000,
         max_output_tokens=8192,
         cache_read_input_token_cost=None,
+        deprecation_date="2027-04-06",
         supported_flags=(
             "supports_function_calling",
             "supports_reasoning",
@@ -109,6 +120,7 @@ TOKEN_PRICED_MODELS: Final = (
         max_input_tokens=262000,
         max_output_tokens=8192,
         cache_read_input_token_cost=None,
+        deprecation_date="2027-04-06",
         supported_flags=(
             "supports_function_calling",
             "supports_response_schema",
@@ -146,7 +158,9 @@ def test_azure_ai_catalog_name_is_priced_and_routed(spec: TokenPricedCatalogMode
 
 @pytest.mark.usefixtures("local_model_cost_map")
 @pytest.mark.parametrize(
-    "spec", [spec for spec in TOKEN_PRICED_MODELS if spec.catalog_name != "model-router"], ids=lambda spec: spec.catalog_name
+    "spec",
+    [spec for spec in TOKEN_PRICED_MODELS if spec.catalog_name != "model-router"],
+    ids=lambda spec: spec.catalog_name,
 )
 def test_azure_ai_catalog_name_costs_a_million_tokens_at_list_price(spec: TokenPricedCatalogModel) -> None:
     prompt_cost, completion_cost = cost_per_token(
@@ -174,3 +188,9 @@ def test_azure_ai_catalog_entry_source_and_backup_match(catalog_name: str) -> No
 
     assert str(main_entry["source"]).startswith("https://azure.microsoft.com/en-us/pricing/details/")
     assert backup_entry == main_entry
+
+
+@pytest.mark.parametrize("spec", TOKEN_PRICED_MODELS, ids=lambda spec: spec.catalog_name)
+def test_azure_ai_catalog_entry_carries_its_retirement_date(spec: TokenPricedCatalogModel) -> None:
+    entry = _cost_map_entry(REPO_ROOT / "model_prices_and_context_window.json", spec.catalog_name)
+    assert entry.get("deprecation_date") == spec.deprecation_date

From d594b9385eb8eae760c809e43ac9174bceadfd46 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 21:05:01 -0700
Subject: [PATCH 075/223] fix(drop_params): warn when a deployment or env
 drop_params value is not a flag

A deployment drop_params string that is not a flag value (a typo like ture) stayed silently off. The router now logs one warning per deployment. LITELLM_DROP_PARAMS and litellm_settings.drop_params share the same helper, so a non-flag value there warns as well instead of flipping silently from on to off
---
 litellm/__init__.py                           |  4 +--
 litellm/litellm_core_utils/core_helpers.py    |  8 +++++
 litellm/proxy/proxy_server.py                 | 11 ++-----
 litellm/router.py                             |  6 ++++
 .../litellm_core_utils/test_core_helpers.py   | 17 ++++++++++
 .../test_litellm/test_drop_params_env_var.py  | 19 +++++++++--
 tests/test_litellm/test_router.py             | 33 +++++++++++++++++++
 7 files changed, 84 insertions(+), 14 deletions(-)

diff --git a/litellm/__init__.py b/litellm/__init__.py
index 36f143376ff..f7d4dce87d2 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -47,7 +47,7 @@ from typing import (
 )
 from litellm.types.integrations.datadog import DatadogInitParams
 from litellm.types.integrations.newrelic import NewRelicInitParams
-from litellm.litellm_core_utils.core_helpers import normalize_drop_params
+from litellm.litellm_core_utils.core_helpers import drop_params_flag
 from litellm._logging import (
     set_verbose,
     _turn_on_debug,
@@ -239,7 +239,7 @@ token: Optional[str] = (
 )
 telemetry = True
 max_tokens: int = DEFAULT_MAX_TOKENS  # OpenAI Defaults
-drop_params = bool(normalize_drop_params(os.getenv("LITELLM_DROP_PARAMS")))
+drop_params = drop_params_flag(os.getenv("LITELLM_DROP_PARAMS"), "LITELLM_DROP_PARAMS", verbose_logger)
 modify_params = bool(os.getenv("LITELLM_MODIFY_PARAMS", False))
 use_chat_completions_url_for_anthropic_messages: bool = bool(
     os.getenv("LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES", False)
diff --git a/litellm/litellm_core_utils/core_helpers.py b/litellm/litellm_core_utils/core_helpers.py
index c1f1076c710..a3dfac81cc1 100644
--- a/litellm/litellm_core_utils/core_helpers.py
+++ b/litellm/litellm_core_utils/core_helpers.py
@@ -1,6 +1,7 @@
 # What is this?
 ## Helper utilities
 import copy
+import logging
 from collections.abc import Iterable, Mapping
 from typing import TYPE_CHECKING, Any, Final, Literal
 
@@ -50,6 +51,13 @@ def normalize_drop_params(value: object) -> bool | None:
         return None
 
 
+def drop_params_flag(value: object, source: str, logger: logging.Logger) -> bool:
+    normalized: Final = normalize_drop_params(value)
+    if normalized is None and value is not None:
+        logger.warning("%s=%r is not a flag value, treating it as off", source, value)
+    return bool(normalized)
+
+
 def safe_divide(
     numerator: float,
     denominator: float,
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 8a30274cc9f..83b99822b4c 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -278,8 +278,8 @@ from litellm.litellm_core_utils.asyncify import asyncify
 from litellm.litellm_core_utils.audio_utils.utils import resolve_speech_media_type
 from litellm.litellm_core_utils.core_helpers import (
     _get_parent_otel_span_from_kwargs,
+    drop_params_flag,
     get_litellm_metadata_from_kwargs,
-    normalize_drop_params,
 )
 from litellm.litellm_core_utils.credential_accessor import CredentialAccessor
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
@@ -5510,7 +5510,7 @@ class ProxyConfig:
                     parse_budget_reset_time(value)
                     setattr(litellm, key, value)
                 elif key == "drop_params":
-                    litellm.drop_params = _drop_params_from_litellm_settings(value)
+                    litellm.drop_params = drop_params_flag(value, "litellm_settings.drop_params", verbose_proxy_logger)
                 else:
                     verbose_proxy_logger.debug(
                         "%s setting litellm.%s=%s%s",
@@ -16915,13 +16915,6 @@ def _redact_config_param_value_for_logging(param_name: str | None, param_value:
     return param_value
 
 
-def _drop_params_from_litellm_settings(value: object) -> bool:
-    normalized: Final = normalize_drop_params(value)
-    if normalized is None and value is not None:
-        verbose_proxy_logger.warning("litellm_settings.drop_params=%r is not a flag value, treating it as off", value)
-    return bool(normalized)
-
-
 def _redact_general_setting_value(field_name: str, value: JsonValue, is_full_admin: bool) -> JsonValue:
     if is_full_admin:
         return value
diff --git a/litellm/router.py b/litellm/router.py
index 95cabfad4bd..4bbdba08e13 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -9366,6 +9366,12 @@ class Router:
         #### VALIDATE MODEL ########
         # Check if this is a prompt management model before validating as LLM provider
         litellm_model: Final = deployment.litellm_params.model
+        if isinstance(deployment.litellm_params.drop_params, str):
+            verbose_router_logger.warning(
+                "model=%s drop_params=%r is not a flag value, treating it as unset",
+                deployment.model_name,
+                deployment.litellm_params.drop_params,
+            )
         is_prompt_management_model = False
 
         if "/" in litellm_model:
diff --git a/tests/test_litellm/litellm_core_utils/test_core_helpers.py b/tests/test_litellm/litellm_core_utils/test_core_helpers.py
index 8797f7c3591..e3880175759 100644
--- a/tests/test_litellm/litellm_core_utils/test_core_helpers.py
+++ b/tests/test_litellm/litellm_core_utils/test_core_helpers.py
@@ -1,9 +1,12 @@
 """Tests for litellm_core_utils.core_helpers module."""
 
+import logging
+
 import pytest
 
 from litellm.litellm_core_utils.core_helpers import (
     _FINISH_REASON_MAP,
+    drop_params_flag,
     get_or_create_metadata_bucket,
     map_finish_reason,
     normalize_drop_params,
@@ -284,6 +287,20 @@ def test_normalize_drop_params(value, expected):
     assert normalize_drop_params(value) is expected
 
 
+@pytest.mark.parametrize("value, expected", [("true", True), ("off", False), (None, False)])
+def test_drop_params_flag_returns_a_bool_without_a_warning(value, expected, caplog):
+    with caplog.at_level(logging.WARNING, logger="drop-params-test"):
+        assert drop_params_flag(value, "LITELLM_DROP_PARAMS", logging.getLogger("drop-params-test")) is expected
+    assert caplog.text == ""
+
+
+@pytest.mark.parametrize("value", ["temperature", "ture", 2])
+def test_drop_params_flag_treats_non_flag_values_as_off_with_a_warning(value, caplog):
+    with caplog.at_level(logging.WARNING, logger="drop-params-test"):
+        assert drop_params_flag(value, "LITELLM_DROP_PARAMS", logging.getLogger("drop-params-test")) is False
+    assert f"LITELLM_DROP_PARAMS={value!r} is not a flag value, treating it as off" in caplog.text
+
+
 class TestIsExpectedClientError:
     def test_status_ranges(self):
         from litellm.litellm_core_utils.core_helpers import is_expected_client_error
diff --git a/tests/test_litellm/test_drop_params_env_var.py b/tests/test_litellm/test_drop_params_env_var.py
index a1ef3648f95..339298df3d1 100644
--- a/tests/test_litellm/test_drop_params_env_var.py
+++ b/tests/test_litellm/test_drop_params_env_var.py
@@ -5,13 +5,26 @@ import sys
 import pytest
 
 
-@pytest.mark.parametrize("configured, expected", [("false", "False"), ("true", "True")])
-def test_litellm_drop_params_env_var_is_parsed_as_a_flag(configured, expected):
-    result = subprocess.run(
+def _import_litellm_with(configured: str) -> subprocess.CompletedProcess[str]:
+    return subprocess.run(
         [sys.executable, "-c", "import litellm; print(litellm.drop_params)"],
         env={**os.environ, "LITELLM_DROP_PARAMS": configured},
         capture_output=True,
         text=True,
         check=True,
     )
+
+
+@pytest.mark.parametrize("configured, expected", [("false", "False"), ("true", "True")])
+def test_litellm_drop_params_env_var_is_parsed_as_a_flag(configured, expected):
+    result = _import_litellm_with(configured)
+
     assert result.stdout.strip() == expected
+    assert "is not a flag value" not in result.stderr
+
+
+def test_litellm_drop_params_env_var_non_flag_value_is_off_with_a_warning():
+    result = _import_litellm_with("temperature")
+
+    assert result.stdout.strip() == "False"
+    assert "LITELLM_DROP_PARAMS='temperature' is not a flag value, treating it as off" in result.stderr
diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py
index 201a4d84ebe..0c0bad8080d 100644
--- a/tests/test_litellm/test_router.py
+++ b/tests/test_litellm/test_router.py
@@ -14424,3 +14424,36 @@ async def test_router_deployment_drop_params_string_true_is_honored(monkeypatch)
         temperature=0.1,
     )
     assert response.choices[0].message.content == "Hello, world!"
+
+
+@pytest.mark.parametrize("value", ["ture", "enabled"])
+def test_router_warns_when_a_deployment_drop_params_string_is_not_a_flag(value, caplog):
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Router"):
+        router = Router(
+            model_list=[
+                {
+                    "model_name": "gpt-5-nano",
+                    "litellm_params": {"model": "openai/gpt-5-nano", "api_key": "sk-fake", "drop_params": value},
+                }
+            ]
+        )
+
+    deployment = router.get_deployment_by_model_group_name(model_group_name="gpt-5-nano")
+    assert deployment is not None
+    assert deployment.litellm_params.drop_params == value
+    assert f"model=gpt-5-nano drop_params={value!r} is not a flag value, treating it as unset" in caplog.text
+
+
+@pytest.mark.parametrize("value", [True, "true", "off", None])
+def test_router_stays_quiet_when_a_deployment_drop_params_is_a_flag(value, caplog):
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Router"):
+        Router(
+            model_list=[
+                {
+                    "model_name": "gpt-5-nano",
+                    "litellm_params": {"model": "openai/gpt-5-nano", "api_key": "sk-fake", "drop_params": value},
+                }
+            ]
+        )
+
+    assert "is not a flag value" not in caplog.text

From c02f2dc0feff1f95d61b1be699565a835402a122 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 21:10:54 -0700
Subject: [PATCH 076/223] fix(azure_ai): keep the request_model keyword on
 cost_per_token

Restores the public keyword removed at 415bdbfd8f. A direct caller that
names the Model Router as the request model gets the routing fee folded
into the prompt cost once; completion_cost never passes it and charges
the fee through the additional-costs hook as before
---
 litellm/cost_calculator.py                    |  3 +
 litellm/llms/azure_ai/cost_calculator.py      | 62 +++++++++++--------
 .../azure_ai/test_azure_ai_cost_calculator.py | 33 ++++++++++
 3 files changed, 72 insertions(+), 26 deletions(-)

diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index fc896a098b3..e135503d11d 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -341,6 +341,8 @@ def cost_per_token(
     ### VERTEX LOCATION ###
     vertex_location: str | None = None,  # for Vertex AI regional-endpoint uplift (e.g. "us-east5", "global")
     response: Any | None = None,
+    ### REQUEST MODEL ###
+    request_model: str | None = None,  # original request model for router detection
 ) -> tuple[float, float]:
     """
     Calculates the cost per token for a given model, prompt tokens, and completion tokens.
@@ -662,6 +664,7 @@ def cost_per_token(
             model=model,
             usage=usage_block,
             response_time_ms=response_time_ms,
+            request_model=request_model,
             service_tier=service_tier,
         )
     else:
diff --git a/litellm/llms/azure_ai/cost_calculator.py b/litellm/llms/azure_ai/cost_calculator.py
index 8a48860c0c4..e57ba055587 100644
--- a/litellm/llms/azure_ai/cost_calculator.py
+++ b/litellm/llms/azure_ai/cost_calculator.py
@@ -63,32 +63,7 @@ def calculate_azure_model_router_flat_cost(model: str, prompt_tokens: int) -> fl
     return 0.0
 
 
-def cost_per_token(
-    model: str,
-    usage: Usage,
-    response_time_ms: float | None = 0.0,
-    service_tier: str | None = None,
-) -> tuple[float, float]:
-    """
-    Price the response model's own tokens for Azure AI.
-
-    The Azure AI Foundry Model Router fee is not part of this: completion_cost charges it once through
-    AzureModelRouterConfig.calculate_additional_costs as the "Azure Model Router Flat Cost" line of the cost
-    breakdown, and a response priced as the router entry itself already carries it. A router deployment name
-    that is missing from the cost map prices at zero here so that line item is the whole cost.
-
-    Args:
-        model: str, the model name without provider prefix (from response)
-        usage: LiteLLM Usage block
-        response_time_ms: Optional response time in milliseconds
-        service_tier: Optional service tier the request was priced on
-
-    Returns:
-        Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
-
-    Raises:
-        ValueError: If a model that is not a Model Router name is missing from the cost map
-    """
+def _response_model_cost(model: str, usage: Usage, service_tier: str | None) -> tuple[float, float]:
     try:
         return generic_cost_per_token(
             model=model, usage=usage, custom_llm_provider="azure_ai", service_tier=service_tier
@@ -100,3 +75,38 @@ def cost_per_token(
             "Azure AI Model Router: model '%s' not in cost map, only the routing fee applies. Error: %s", model, e
         )
         return 0.0, 0.0
+
+
+def cost_per_token(
+    model: str,
+    usage: Usage,
+    response_time_ms: float | None = 0.0,
+    request_model: str | None = None,
+    service_tier: str | None = None,
+) -> tuple[float, float]:
+    """
+    Price the response model's own tokens for Azure AI, plus the Model Router fee when the caller names the
+    router as the request model.
+
+    completion_cost never passes request_model: it charges the fee once through
+    AzureModelRouterConfig.calculate_additional_costs as the "Azure Model Router Flat Cost" line of the cost
+    breakdown. A response priced as the router entry itself already carries the fee, so request_model adds
+    nothing on top of it, and a router deployment name that is missing from the cost map prices at zero here.
+
+    Args:
+        model: str, the model name without provider prefix (from response)
+        usage: LiteLLM Usage block
+        response_time_ms: Optional response time in milliseconds
+        request_model: Optional[str], the original request model name; a Model Router name adds the routing fee
+        service_tier: Optional service tier the request was priced on
+
+    Returns:
+        Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
+
+    Raises:
+        ValueError: If a model that is not a Model Router name is missing from the cost map
+    """
+    prompt_cost, completion_cost = _response_model_cost(model=model, usage=usage, service_tier=service_tier)
+    if request_model is None or not _is_azure_model_router(request_model) or is_router_fee_entry(model):
+        return prompt_cost, completion_cost
+    return prompt_cost + calculate_azure_model_router_flat_cost(request_model, usage.prompt_tokens), completion_cost
diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
index 20d0ec03a2a..0deb79d14d3 100644
--- a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
@@ -155,6 +155,39 @@ class TestAzureModelRouterFlatCost:
         with pytest.raises(Exception, match="no-such-azure-ai-model"):
             cost_per_token(model="no-such-azure-ai-model", usage=usage)
 
+    def test_request_model_through_the_router_adds_the_fee_once(self) -> None:
+        routed_prompt_cost, routed_completion_cost = _routed_model_cost()
+        prompt_cost, completion_cost_usd = cost_per_token(
+            model=ROUTED_MODEL, usage=ROUTED_USAGE, request_model="azure_ai/model-router"
+        )
+        assert prompt_cost == pytest.approx(routed_prompt_cost + ROUTED_FEE, rel=1e-9)
+        assert completion_cost_usd == pytest.approx(routed_completion_cost, rel=1e-9)
+
+    def test_request_model_that_is_not_the_router_adds_nothing(self) -> None:
+        routed_prompt_cost, routed_completion_cost = _routed_model_cost()
+        assert cost_per_token(
+            model=ROUTED_MODEL, usage=ROUTED_USAGE, request_model=f"azure_ai/{ROUTED_MODEL}"
+        ) == pytest.approx((routed_prompt_cost, routed_completion_cost), rel=1e-9)
+
+    @pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"])
+    def test_request_model_does_not_double_the_router_entry(self, router_entry_name: str) -> None:
+        prompt_cost, completion_cost_usd = cost_per_token(
+            model=router_entry_name, usage=ROUTED_USAGE, request_model=f"azure_ai/{router_entry_name}"
+        )
+        assert prompt_cost == pytest.approx(ROUTED_FEE, rel=1e-9)
+        assert completion_cost_usd == 0.0
+
+    def test_public_cost_per_token_keeps_the_request_model_keyword(self) -> None:
+        routed_prompt_cost, routed_completion_cost = _routed_model_cost()
+        prompt_cost, completion_cost_usd = litellm.cost_per_token(
+            model=ROUTED_MODEL,
+            custom_llm_provider="azure_ai",
+            usage_object=ROUTED_USAGE,
+            request_model="azure_ai/model-router",
+        )
+        assert prompt_cost == pytest.approx(routed_prompt_cost + ROUTED_FEE, rel=1e-9)
+        assert completion_cost_usd == pytest.approx(routed_completion_cost, rel=1e-9)
+
     def test_flat_cost_helper(self) -> None:
         assert calculate_azure_model_router_flat_cost(
             model="azure-model-router", prompt_tokens=10_000

From 55c10c1983c92dbad1d62dfc3c14aab94696639a Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 21:34:34 -0700
Subject: [PATCH 077/223] fix(azure_ai): charge the router fee once for any
 router name and price grok-4-20 cache reads

Direct litellm.cost_per_token callers that name a Model Router deployment as
the model get the routing fee again, as they did before this branch, and the
fee is still charged exactly once on every completion_cost path. The
grok-4-20 entries bill cached prompt tokens at the input rate, since Azure has
no cached-input meter for them, and the model_router twin carries the same
limits and retirement date as model-router. The catalog test now exercises
the cost calculator and map relations instead of pinning map fields.
---
 litellm/cost_calculator.py                    |   4 +-
 litellm/llms/azure_ai/cost_calculator.py      |  33 ++-
 ...odel_prices_and_context_window_backup.json |   6 +
 model_prices_and_context_window.json          |   6 +
 .../azure_ai/test_azure_ai_cost_calculator.py |  31 ++-
 ...azure_ai_foundry_catalog_model_metadata.py | 219 ++++++------------
 6 files changed, 125 insertions(+), 174 deletions(-)

diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index e135503d11d..8a00ffa4d37 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -46,7 +46,7 @@ from litellm.llms.azure_ai.cost_calculator import (
     cost_per_token as azure_ai_cost_per_token,
 )
 from litellm.llms.azure_ai.cost_calculator import (
-    is_router_fee_entry as azure_ai_is_router_fee_entry,
+    is_azure_model_router as azure_ai_is_model_router_name,
 )
 from litellm.llms.base_llm.search.transformation import SearchResponse
 from litellm.llms.bedrock.cost_calculation import (
@@ -1665,7 +1665,7 @@ def completion_cost(
                 )
 
                 # Get additional costs from provider (e.g., routing fees, infrastructure costs)
-                if custom_llm_provider == "azure_ai" and not azure_ai_is_router_fee_entry(model):
+                if custom_llm_provider == "azure_ai" and not azure_ai_is_model_router_name(model):
                     model_for_additional_costs = request_model_for_cost
                     if completion_response is not None:
                         hidden_params = getattr(completion_response, "_hidden_params", None) or {}
diff --git a/litellm/llms/azure_ai/cost_calculator.py b/litellm/llms/azure_ai/cost_calculator.py
index e57ba055587..5934525eca3 100644
--- a/litellm/llms/azure_ai/cost_calculator.py
+++ b/litellm/llms/azure_ai/cost_calculator.py
@@ -11,7 +11,7 @@ from litellm.types.utils import Usage
 from litellm.utils import get_model_info
 
 
-def _is_azure_model_router(model: str) -> bool:
+def is_azure_model_router(model: str) -> bool:
     """
     Check if the model is Azure AI Foundry Model Router.
 
@@ -54,7 +54,7 @@ def calculate_azure_model_router_flat_cost(model: str, prompt_tokens: int) -> fl
     Returns:
         float: The flat cost in USD, or 0.0 if not applicable
     """
-    if not _is_azure_model_router(model):
+    if not is_azure_model_router(model):
         return 0.0
     model_info: Final = get_model_info(model=_router_fee_entry_name(model), custom_llm_provider="azure_ai")
     router_flat_cost_per_token: Final = model_info.get("input_cost_per_token", 0)
@@ -69,7 +69,7 @@ def _response_model_cost(model: str, usage: Usage, service_tier: str | None) ->
             model=model, usage=usage, custom_llm_provider="azure_ai", service_tier=service_tier
         )
     except Exception as e:
-        if not _is_azure_model_router(model):
+        if not is_azure_model_router(model):
             raise
         verbose_logger.debug(
             "Azure AI Model Router: model '%s' not in cost map, only the routing fee applies. Error: %s", model, e
@@ -77,6 +77,16 @@ def _response_model_cost(model: str, usage: Usage, service_tier: str | None) ->
         return 0.0, 0.0
 
 
+def _router_fee_name(model: str, request_model: str | None) -> str | None:
+    if is_router_fee_entry(model):
+        return None
+    if is_azure_model_router(model):
+        return model
+    if request_model is not None and is_azure_model_router(request_model):
+        return request_model
+    return None
+
+
 def cost_per_token(
     model: str,
     usage: Usage,
@@ -85,13 +95,15 @@ def cost_per_token(
     service_tier: str | None = None,
 ) -> tuple[float, float]:
     """
-    Price the response model's own tokens for Azure AI, plus the Model Router fee when the caller names the
-    router as the request model.
+    Price the response model's own tokens for Azure AI, plus the Model Router fee exactly once when either the
+    priced name or request_model is a Model Router name.
 
-    completion_cost never passes request_model: it charges the fee once through
+    A response priced as the router entry itself already carries the fee, so nothing is added on top of it. A
+    router deployment name that is missing from the cost map prices at the fee alone.
+
+    completion_cost passes only the priced name: when that name is a routed model it adds the fee itself through
     AzureModelRouterConfig.calculate_additional_costs as the "Azure Model Router Flat Cost" line of the cost
-    breakdown. A response priced as the router entry itself already carries the fee, so request_model adds
-    nothing on top of it, and a router deployment name that is missing from the cost map prices at zero here.
+    breakdown, and when the name is router-shaped the fee is already in the prompt cost returned here.
 
     Args:
         model: str, the model name without provider prefix (from response)
@@ -107,6 +119,7 @@ def cost_per_token(
         ValueError: If a model that is not a Model Router name is missing from the cost map
     """
     prompt_cost, completion_cost = _response_model_cost(model=model, usage=usage, service_tier=service_tier)
-    if request_model is None or not _is_azure_model_router(request_model) or is_router_fee_entry(model):
+    fee_name: Final = _router_fee_name(model=model, request_model=request_model)
+    if fee_name is None:
         return prompt_cost, completion_cost
-    return prompt_cost + calculate_azure_model_router_flat_cost(request_model, usage.prompt_tokens), completion_cost
+    return prompt_cost + calculate_azure_model_router_flat_cost(fee_name, usage.prompt_tokens), completion_cost
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 483ebd2431c..674a8b98304 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -4060,9 +4060,13 @@
         "supports_minimal_reasoning_effort": false
     },
     "azure_ai/model_router": {
+        "deprecation_date": "2027-05-20",
         "input_cost_per_token": 1.4e-07,
         "output_cost_per_token": 0,
         "litellm_provider": "azure_ai",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 32768,
+        "max_tokens": 32768,
         "mode": "chat",
         "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/",
         "comment": "Flat cost of $0.14 per M input tokens for Azure AI Foundry Model Router infrastructure. Use pattern: azure_ai/model_router/<deployment-name> where deployment-name is your Azure deployment (e.g., azure-model-router)"
@@ -10754,6 +10758,7 @@
         "supports_web_search": true
     },
     "azure_ai/grok-4-20-reasoning": {
+        "cache_read_input_token_cost": 1.25e-06,
         "deprecation_date": "2027-04-06",
         "input_cost_per_token": 1.25e-06,
         "litellm_provider": "azure_ai",
@@ -10771,6 +10776,7 @@
         "supports_reasoning": true
     },
     "azure_ai/grok-4-20-non-reasoning": {
+        "cache_read_input_token_cost": 1.25e-06,
         "deprecation_date": "2027-04-06",
         "input_cost_per_token": 1.25e-06,
         "litellm_provider": "azure_ai",
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 483ebd2431c..674a8b98304 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -4060,9 +4060,13 @@
         "supports_minimal_reasoning_effort": false
     },
     "azure_ai/model_router": {
+        "deprecation_date": "2027-05-20",
         "input_cost_per_token": 1.4e-07,
         "output_cost_per_token": 0,
         "litellm_provider": "azure_ai",
+        "max_input_tokens": 200000,
+        "max_output_tokens": 32768,
+        "max_tokens": 32768,
         "mode": "chat",
         "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/",
         "comment": "Flat cost of $0.14 per M input tokens for Azure AI Foundry Model Router infrastructure. Use pattern: azure_ai/model_router/<deployment-name> where deployment-name is your Azure deployment (e.g., azure-model-router)"
@@ -10754,6 +10758,7 @@
         "supports_web_search": true
     },
     "azure_ai/grok-4-20-reasoning": {
+        "cache_read_input_token_cost": 1.25e-06,
         "deprecation_date": "2027-04-06",
         "input_cost_per_token": 1.25e-06,
         "litellm_provider": "azure_ai",
@@ -10771,6 +10776,7 @@
         "supports_reasoning": true
     },
     "azure_ai/grok-4-20-non-reasoning": {
+        "cache_read_input_token_cost": 1.25e-06,
         "deprecation_date": "2027-04-06",
         "input_cost_per_token": 1.25e-06,
         "litellm_provider": "azure_ai",
diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
index 0deb79d14d3..7df14b91741 100644
--- a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
@@ -11,9 +11,9 @@ import litellm
 from litellm.cost_calculator import completion_cost
 from litellm.litellm_core_utils.litellm_logging import Logging
 from litellm.llms.azure_ai.cost_calculator import (
-    _is_azure_model_router,
     calculate_azure_model_router_flat_cost,
     cost_per_token,
+    is_azure_model_router,
 )
 from litellm.types.utils import Choices, Message, ModelResponse, Usage
 from litellm.utils import get_model_info
@@ -54,7 +54,7 @@ class TestAzureModelRouterDetection:
     )
     def test_is_azure_model_router(self, model: str, expected: bool):
         """Test Azure Model Router detection."""
-        assert _is_azure_model_router(model) == expected
+        assert is_azure_model_router(model) == expected
 
 
 class TestAzureModelRouterPrefix:
@@ -130,11 +130,21 @@ def _routed_model_cost() -> tuple[float, float]:
 
 @pytest.mark.usefixtures("local_model_cost_map")
 class TestAzureModelRouterFlatCost:
-    """cost_per_token prices the response model only; the router fee is the cost breakdown's own line item."""
+    """cost_per_token charges the router fee once, for whichever router name the caller gives it."""
 
-    def test_unmapped_router_deployment_name_prices_at_zero(self) -> None:
+    def test_unmapped_router_deployment_name_prices_the_fee(self) -> None:
         usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
-        assert cost_per_token(model="azure-model-router", usage=usage) == (0.0, 0.0)
+        prompt_cost, completion_cost_usd = cost_per_token(model="azure-model-router", usage=usage)
+        assert prompt_cost == pytest.approx(1000 * ROUTER_FEE_PER_TOKEN, rel=1e-9)
+        assert completion_cost_usd == 0.0
+
+    def test_router_deployment_name_as_both_names_charges_the_fee_once(self) -> None:
+        usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
+        prompt_cost, completion_cost_usd = cost_per_token(
+            model="model_router/my-deployment", usage=usage, request_model="azure_ai/model_router/my-deployment"
+        )
+        assert prompt_cost == pytest.approx(1000 * ROUTER_FEE_PER_TOKEN, rel=1e-9)
+        assert completion_cost_usd == 0.0
 
     @pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"])
     def test_router_entry_prices_its_own_fee(self, router_entry_name: str) -> None:
@@ -209,7 +219,8 @@ class TestAzureModelRouterFlatCost:
 
 @pytest.mark.usefixtures("local_model_cost_map")
 class TestAzureModelRouterCostBreakdown:
-    """completion_cost charges the router fee exactly once, as the cost breakdown's additional cost line."""
+    """completion_cost charges the router fee exactly once: as the breakdown's additional cost line when a routed
+    model is priced as itself, inside the input cost when the priced name is the router."""
 
     def test_unmapped_router_deployment_name_costs_only_the_fee(self) -> None:
         cost = completion_cost(
@@ -219,7 +230,7 @@ class TestAzureModelRouterCostBreakdown:
         )
         assert cost == pytest.approx(ROUTED_FEE, rel=1e-9)
 
-    def test_fee_is_the_breakdown_line_item_for_an_unmapped_router_name(self) -> None:
+    def test_unmapped_router_name_carries_the_fee_as_its_input_cost(self) -> None:
         logging_obj = _router_logging("azure-model-router")
         cost = completion_cost(
             completion_response=_azure_ai_response("azure-model-router"),
@@ -229,10 +240,8 @@ class TestAzureModelRouterCostBreakdown:
         )
         breakdown = logging_obj.cost_breakdown
         assert breakdown is not None
-        assert breakdown["input_cost"] == 0.0
-        assert breakdown.get("additional_costs") == pytest.approx(
-            {"Azure Model Router Flat Cost": ROUTED_FEE}, rel=1e-9
-        )
+        assert breakdown["input_cost"] == pytest.approx(ROUTED_FEE, rel=1e-9)
+        assert "additional_costs" not in breakdown
         assert cost == pytest.approx(ROUTED_FEE, rel=1e-9)
 
     def test_router_request_with_routed_response_charges_the_fee_once(self) -> None:
diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
index fab9be1b42c..19b082edd8a 100644
--- a/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
@@ -5,131 +5,34 @@ from typing import Final
 import pytest
 from pydantic import TypeAdapter
 
-from litellm import cost_per_token, get_model_info
+from litellm import completion_cost, cost_per_token
 from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+from litellm.types.utils import TranscriptionResponse
 
 REPO_ROOT: Final = Path(__file__).parents[4]
+MAIN_COST_MAP: Final = REPO_ROOT / "model_prices_and_context_window.json"
+BACKUP_COST_MAP: Final = REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json"
 COST_MAP_ADAPTER: Final = TypeAdapter(dict[str, dict[str, object]])
-AZURE_OPENAI_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/"
-FOUNDRY_AOAI_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/"
-FOUNDRY_COHERE_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/cohere/"
-FOUNDRY_GROK_PRICING: Final = "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/"
+AZURE_PRICING_PREFIX: Final = "https://azure.microsoft.com/en-us/pricing/details/"
+A_MILLION: Final = 1_000_000
 
 
 @dataclass(frozen=True, slots=True)
 class TokenPricedCatalogModel:
     catalog_name: str
-    mode: str
-    source: str
-    input_cost_per_token: float
-    output_cost_per_token: float
-    max_input_tokens: int
-    max_output_tokens: int
-    cache_read_input_token_cost: float | None
-    deprecation_date: str | None
-    supported_flags: tuple[str, ...]
+    dollars_per_million_input: float
+    dollars_per_million_output: float
 
 
 TOKEN_PRICED_MODELS: Final = (
-    TokenPricedCatalogModel(
-        catalog_name="gpt-chat-latest",
-        mode="chat",
-        source=AZURE_OPENAI_PRICING,
-        input_cost_per_token=5e-06,
-        output_cost_per_token=3e-05,
-        max_input_tokens=272000,
-        max_output_tokens=128000,
-        cache_read_input_token_cost=5e-07,
-        deprecation_date="2026-12-02",
-        supported_flags=(
-            "supports_function_calling",
-            "supports_prompt_caching",
-            "supports_reasoning",
-            "supports_response_schema",
-            "supports_tool_choice",
-            "supports_vision",
-            "supports_web_search",
-        ),
-    ),
-    TokenPricedCatalogModel(
-        catalog_name="codex-mini",
-        mode="responses",
-        source=AZURE_OPENAI_PRICING,
-        input_cost_per_token=1.5e-06,
-        output_cost_per_token=6e-06,
-        max_input_tokens=200000,
-        max_output_tokens=100000,
-        cache_read_input_token_cost=3.75e-07,
-        deprecation_date="2026-11-15",
-        supported_flags=(
-            "supports_function_calling",
-            "supports_prompt_caching",
-            "supports_reasoning",
-            "supports_vision",
-        ),
-    ),
-    TokenPricedCatalogModel(
-        catalog_name="model-router",
-        mode="chat",
-        source=FOUNDRY_AOAI_PRICING,
-        input_cost_per_token=1.4e-07,
-        output_cost_per_token=0.0,
-        max_input_tokens=200000,
-        max_output_tokens=32768,
-        cache_read_input_token_cost=None,
-        deprecation_date="2027-05-20",
-        supported_flags=(),
-    ),
-    TokenPricedCatalogModel(
-        catalog_name="cohere-command-a",
-        mode="chat",
-        source=FOUNDRY_COHERE_PRICING,
-        input_cost_per_token=2.5e-06,
-        output_cost_per_token=1e-05,
-        max_input_tokens=131072,
-        max_output_tokens=8182,
-        cache_read_input_token_cost=None,
-        deprecation_date=None,
-        supported_flags=("supports_function_calling", "supports_tool_choice"),
-    ),
-    TokenPricedCatalogModel(
-        catalog_name="grok-4-20-reasoning",
-        mode="chat",
-        source=FOUNDRY_GROK_PRICING,
-        input_cost_per_token=1.25e-06,
-        output_cost_per_token=2.5e-06,
-        max_input_tokens=262000,
-        max_output_tokens=8192,
-        cache_read_input_token_cost=None,
-        deprecation_date="2027-04-06",
-        supported_flags=(
-            "supports_function_calling",
-            "supports_reasoning",
-            "supports_response_schema",
-            "supports_tool_choice",
-            "supports_vision",
-            "supports_web_search",
-        ),
-    ),
-    TokenPricedCatalogModel(
-        catalog_name="grok-4-20-non-reasoning",
-        mode="chat",
-        source=FOUNDRY_GROK_PRICING,
-        input_cost_per_token=1.25e-06,
-        output_cost_per_token=2.5e-06,
-        max_input_tokens=262000,
-        max_output_tokens=8192,
-        cache_read_input_token_cost=None,
-        deprecation_date="2027-04-06",
-        supported_flags=(
-            "supports_function_calling",
-            "supports_response_schema",
-            "supports_tool_choice",
-            "supports_vision",
-            "supports_web_search",
-        ),
-    ),
+    TokenPricedCatalogModel("gpt-chat-latest", 5.0, 30.0),
+    TokenPricedCatalogModel("codex-mini", 1.5, 6.0),
+    TokenPricedCatalogModel("model-router", 0.14, 0.0),
+    TokenPricedCatalogModel("cohere-command-a", 2.5, 10.0),
+    TokenPricedCatalogModel("grok-4-20-reasoning", 1.25, 2.5),
+    TokenPricedCatalogModel("grok-4-20-non-reasoning", 1.25, 2.5),
 )
+GROK_4_20_NAMES: Final = ("grok-4-20-reasoning", "grok-4-20-non-reasoning")
 CATALOG_NAMES: Final = tuple(spec.catalog_name for spec in TOKEN_PRICED_MODELS) + ("whisper",)
 
 
@@ -137,60 +40,74 @@ def _cost_map_entry(path: Path, catalog_name: str) -> dict[str, object]:
     return COST_MAP_ADAPTER.validate_json(path.read_bytes())[f"azure_ai/{catalog_name}"]
 
 
+@pytest.mark.parametrize("catalog_name", CATALOG_NAMES)
+def test_azure_ai_catalog_name_routes_to_azure_ai(catalog_name: str) -> None:
+    routed_model, provider, _, _ = get_llm_provider(model=f"azure_ai/{catalog_name}")
+    assert (routed_model, provider) == (catalog_name, "azure_ai")
+
+
 @pytest.mark.usefixtures("local_model_cost_map")
 @pytest.mark.parametrize("spec", TOKEN_PRICED_MODELS, ids=lambda spec: spec.catalog_name)
-def test_azure_ai_catalog_name_is_priced_and_routed(spec: TokenPricedCatalogModel) -> None:
-    routed_model, provider, _, _ = get_llm_provider(model=f"azure_ai/{spec.catalog_name}")
-    assert (routed_model, provider) == (spec.catalog_name, "azure_ai")
-
-    info = get_model_info(model=routed_model, custom_llm_provider=provider)
-    assert info["litellm_provider"] == "azure_ai"
-    assert info["mode"] == spec.mode
-    assert info["input_cost_per_token"] == spec.input_cost_per_token
-    assert info["output_cost_per_token"] == spec.output_cost_per_token
-    assert info["cache_read_input_token_cost"] == spec.cache_read_input_token_cost
-    assert info["max_input_tokens"] == spec.max_input_tokens
-    assert info["max_output_tokens"] == spec.max_output_tokens
-    assert info["max_tokens"] == spec.max_output_tokens
-    for flag in spec.supported_flags:
-        assert info[flag] is True, flag
+def test_azure_ai_catalog_name_costs_a_million_tokens_at_list_price(spec: TokenPricedCatalogModel) -> None:
+    prompt_cost, completion_cost_usd = cost_per_token(
+        model=f"azure_ai/{spec.catalog_name}", prompt_tokens=A_MILLION, completion_tokens=A_MILLION
+    )
+    assert prompt_cost == pytest.approx(spec.dollars_per_million_input)
+    assert completion_cost_usd == pytest.approx(spec.dollars_per_million_output)
 
 
 @pytest.mark.usefixtures("local_model_cost_map")
-@pytest.mark.parametrize(
-    "spec",
-    [spec for spec in TOKEN_PRICED_MODELS if spec.catalog_name != "model-router"],
-    ids=lambda spec: spec.catalog_name,
-)
-def test_azure_ai_catalog_name_costs_a_million_tokens_at_list_price(spec: TokenPricedCatalogModel) -> None:
-    prompt_cost, completion_cost = cost_per_token(
-        model=f"azure_ai/{spec.catalog_name}", prompt_tokens=1_000_000, completion_tokens=1_000_000
+@pytest.mark.parametrize("spec", TOKEN_PRICED_MODELS, ids=lambda spec: spec.catalog_name)
+def test_azure_ai_catalog_name_prices_the_same_in_any_casing(spec: TokenPricedCatalogModel) -> None:
+    lowercase_cost = cost_per_token(model=f"azure_ai/{spec.catalog_name}", prompt_tokens=A_MILLION, completion_tokens=0)
+    upper_cost = cost_per_token(model=f"azure_ai/{spec.catalog_name.upper()}", prompt_tokens=A_MILLION, completion_tokens=0)
+    assert upper_cost == lowercase_cost
+
+
+@pytest.mark.usefixtures("local_model_cost_map")
+@pytest.mark.parametrize("catalog_name", GROK_4_20_NAMES)
+def test_azure_ai_grok_4_20_bills_cached_prompt_tokens_at_the_input_price(catalog_name: str) -> None:
+    uncached_prompt_cost, _ = cost_per_token(model=f"azure_ai/{catalog_name}", prompt_tokens=A_MILLION, completion_tokens=0)
+    cached_prompt_cost, _ = cost_per_token(
+        model=f"azure_ai/{catalog_name}",
+        prompt_tokens=A_MILLION,
+        completion_tokens=0,
+        cache_read_input_tokens=A_MILLION,
     )
-    assert prompt_cost == pytest.approx(spec.input_cost_per_token * 1_000_000)
-    assert completion_cost == pytest.approx(spec.output_cost_per_token * 1_000_000)
+    assert uncached_prompt_cost > 0
+    assert cached_prompt_cost == pytest.approx(uncached_prompt_cost)
 
 
 @pytest.mark.usefixtures("local_model_cost_map")
 def test_azure_ai_whisper_catalog_name_is_priced_per_second() -> None:
-    routed_model, provider, _, _ = get_llm_provider(model="azure_ai/whisper")
-    assert (routed_model, provider) == ("whisper", "azure_ai")
-
-    info = get_model_info(model=routed_model, custom_llm_provider=provider)
-    assert info["mode"] == "audio_transcription"
-    assert info["input_cost_per_second"] == 0.0001
-    assert info["output_cost_per_second"] == 0.0001
+    transcription: Final = TranscriptionResponse(text="hello")
+    transcription._hidden_params = {  # pyright: ignore[reportPrivateUsage]  # TranscriptionResponse exposes no public hidden-params setter
+        "custom_llm_provider": "azure_ai",
+        "model": "azure_ai/whisper",
+        "audio_transcription_duration": 3600,
+    }
+    cost = completion_cost(
+        completion_response=transcription,
+        model="azure_ai/whisper",
+        custom_llm_provider="azure_ai",
+        call_type="atranscription",
+    )
+    assert cost == pytest.approx(0.36)
 
 
 @pytest.mark.parametrize("catalog_name", CATALOG_NAMES)
 def test_azure_ai_catalog_entry_source_and_backup_match(catalog_name: str) -> None:
-    main_entry = _cost_map_entry(REPO_ROOT / "model_prices_and_context_window.json", catalog_name)
-    backup_entry = _cost_map_entry(REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json", catalog_name)
+    main_entry = _cost_map_entry(MAIN_COST_MAP, catalog_name)
+    backup_entry = _cost_map_entry(BACKUP_COST_MAP, catalog_name)
 
-    assert str(main_entry["source"]).startswith("https://azure.microsoft.com/en-us/pricing/details/")
+    assert str(main_entry["source"]).startswith(AZURE_PRICING_PREFIX)
     assert backup_entry == main_entry
 
 
-@pytest.mark.parametrize("spec", TOKEN_PRICED_MODELS, ids=lambda spec: spec.catalog_name)
-def test_azure_ai_catalog_entry_carries_its_retirement_date(spec: TokenPricedCatalogModel) -> None:
-    entry = _cost_map_entry(REPO_ROOT / "model_prices_and_context_window.json", spec.catalog_name)
-    assert entry.get("deprecation_date") == spec.deprecation_date
+def test_azure_ai_model_router_spellings_share_one_entry() -> None:
+    underscore_entry = _cost_map_entry(MAIN_COST_MAP, "model_router")
+    hyphen_entry = _cost_map_entry(MAIN_COST_MAP, "model-router")
+
+    assert {k: v for k, v in underscore_entry.items() if k != "comment"} == {
+        k: v for k, v in hyphen_entry.items() if k != "comment"
+    }

From 69d2ac1edb83336723d4c9ce5024b93612230e5d Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 21:46:00 -0700
Subject: [PATCH 078/223] fix(policy_engine): run iterator-hook guardrails
 whose post_call pipeline cannot stream

The streaming loop skipped every guardrail stepped by a post_call pipeline, even when the pipeline was dropped from the stream for lacking the unified apply_guardrail interface, so a default_on guardrail that only implements async_post_call_streaming_iterator_hook stopped governing streams it governed on the merge base. The skip set now comes from the pipelines that will gate the stream
---
 litellm/proxy/utils.py                        | 26 +++++++-------
 .../proxy_logging/test_guardrail_pipeline.py  | 36 +++++++++++++++++++
 2 files changed, 50 insertions(+), 12 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index d7bf832bca4..8b36061c6be 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -447,14 +447,15 @@ def _policy_pipelines(data: Mapping[str, object]) -> tuple[tuple[str, "Guardrail
     )
 
 
+def _pipeline_step_guardrail_names(pipelines: Sequence[tuple[str, "GuardrailPipeline"]]) -> frozenset[str]:
+    return frozenset(step.guardrail for _policy_name, pipeline in pipelines for step in pipeline.steps)
+
+
 def _pipeline_managed_guardrail_names(
     data: Mapping[str, object], mode: Literal["pre_call", "post_call"]
 ) -> frozenset[str]:
-    return frozenset(
-        step.guardrail
-        for _policy_name, pipeline in _policy_pipelines(data)
-        if pipeline.mode == mode
-        for step in pipeline.steps
+    return _pipeline_step_guardrail_names(
+        tuple((policy_name, pipeline) for policy_name, pipeline in _policy_pipelines(data) if pipeline.mode == mode)
     )
 
 
@@ -547,7 +548,7 @@ def _pipeline_is_streamable(policy_name: str, pipeline: "GuardrailPipeline") ->
         return True
     verbose_proxy_logger.warning(
         "Policy '%s' has post_call pipeline guardrails without the unified apply_guardrail interface, "
-        "which streaming pipelines need; the stream is released ungoverned by it: %s",
+        "which streaming pipelines need; the stream skips the pipeline and its guardrails run on their own: %s",
         policy_name,
         ", ".join(unsupported),
     )
@@ -563,9 +564,9 @@ def _streamable_post_call_pipelines(
     Streaming pipelines scan the buffered stream through the endpoint guardrail
     translation of the request route, so every step's guardrail needs the
     unified apply_guardrail interface and the route needs a translation. A
-    pipeline that cannot be run that way yet is left out and the stream is
-    released the way it was before pipelines ran on streams at all, with a
-    warning naming what went ungoverned.
+    pipeline that cannot be run that way yet is left out and its guardrails
+    run on the stream on their own, the way they did before pipelines ran on
+    streams at all, with a warning naming the pipeline.
     """
     post_call_pipelines: Final = _post_call_pipelines(request_data)
     if not post_call_pipelines:
@@ -574,7 +575,8 @@ def _streamable_post_call_pipelines(
     if route and resolve_endpoint_translation(user_api_key_dict, None) is None:
         verbose_proxy_logger.warning(
             "Policies with post_call guardrail pipelines cannot scan streaming responses on route %s yet "
-            "(no endpoint guardrail translation); the stream is released ungoverned by them: %s",
+            "(no endpoint guardrail translation); the stream skips the pipelines and their guardrails run "
+            "on their own: %s",
             route,
             ", ".join(policy_name for policy_name, _pipeline in post_call_pipelines),
         )
@@ -3361,10 +3363,10 @@ class ProxyLogging:
         current_response = response
         stream_needs_translation: Final = ProxyLogging._stream_requires_guardrail_translation(user_api_key_dict)
 
-        pipeline_managed_names: Final = _pipeline_managed_guardrail_names(request_data, "post_call")
+        pipeline_gated_names: Final = _pipeline_step_guardrail_names(post_call_pipelines)
         for resolved_callback, kind in caps.iterator_overrides:
             if isinstance(resolved_callback, CustomGuardrail):
-                if resolved_callback.guardrail_name in pipeline_managed_names:
+                if resolved_callback.guardrail_name in pipeline_gated_names:
                     continue
                 if (
                     resolved_callback.should_run_guardrail(data=request_data, event_type=GuardrailEventHooks.post_call)
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index ad2b4a0efbb..73dd6746b29 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1620,6 +1620,42 @@ async def test_streaming_iterator_hook_releases_stream_when_pipeline_guardrail_l
     assert any("'response-governance'" in message and "gr-post" in message for message in _warnings(caplog))
 
 
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_runs_iterator_hook_guardrail_whose_pipeline_cannot_stream(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
+):
+    seen: Dict[str, Any] = {}
+
+    class IteratorHookGuardrail(CustomGuardrail):
+        async def async_post_call_streaming_iterator_hook(self, user_api_key_dict, response, request_data):
+            seen["count"] = seen.get("count", 0) + 1
+            async for item in response:
+                item.choices[0].delta.content = f"[governed] {item.choices[0].delta.content}"
+                yield item
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [IteratorHookGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=True)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        delivered = [
+            item
+            async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+                user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+                response=_async_chunk_iter(_stream_chunks()),
+                request_data=data,
+            )
+        ]
+
+    assert seen["count"] == 1
+    assert [item.choices[0].delta.content for item in delivered] == ["[governed] hello ", "[governed] world"]
+    assert any("'response-governance'" in message and "gr-post" in message for message in _warnings(caplog))
+
+
 @pytest.mark.asyncio
 @pytest.mark.parametrize(
     "rewrite_attribute, value",

From 91fc1b201027b3d21a7ced292ac19a51661cba0e Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 21:48:19 -0700
Subject: [PATCH 079/223] fix(policy_engine): record a streaming pipeline step
 once and in the applied guardrails header

CustomGuardrail.__init_subclass__ wrapped _StreamRewriteObserver.apply_guardrail in log_guardrail_information, so every streaming step recorded a second standard_logging_guardrail_information entry and span next to the inner guardrail's own. The observer's method now carries the marker that skips the wrapper. The step also adds the guardrail to the applied guardrails header the way the non-streaming unified path does, so streamed spend rows name the guardrail that scanned them
---
 .../proxy/policy_engine/pipeline_executor.py  | 27 +++++++++---
 .../policy_engine/test_pipeline_executor.py   | 44 +++++++++++++++++++
 2 files changed, 65 insertions(+), 6 deletions(-)

diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index 970ac20487c..9bc10949e9f 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -7,19 +7,21 @@ pass/fail actions (allow, block, next, modify_response) and data forwarding.
 
 import copy
 import time
-from collections.abc import Mapping, Sequence
-from typing import TYPE_CHECKING, Any, Final, Literal
+from collections.abc import Callable, Mapping, Sequence
+from typing import TYPE_CHECKING, Any, Final, Literal, TypeVar
 
 from pydantic import BaseModel
 
 import litellm
 from litellm._logging import verbose_proxy_logger
+from litellm.constants import LOGS_GUARDRAIL_INFORMATION_MARKER
 from litellm.integrations.custom_guardrail import (
     CustomGuardrail,
     ModifyResponseException,
 )
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.litellm_core_utils.core_helpers import independent_snapshot
+from litellm.proxy.common_utils.callback_utils import add_guardrail_to_applied_guardrails_header
 from litellm.proxy.guardrails.guardrail_hooks.unified_guardrail.unified_guardrail import (
     UnifiedLLMGuardrails,
 )
@@ -72,13 +74,23 @@ def _rewrote(sent: tuple[object, ...] | None, returned: tuple[object, ...] | Non
     return sent is not None and returned is not None and returned != sent
 
 
+_GuardrailMethodT = TypeVar("_GuardrailMethodT", bound=Callable[..., object])
+
+
+def _logged_by_inner_guardrail(method: _GuardrailMethodT) -> _GuardrailMethodT:
+    vars(method)[LOGS_GUARDRAIL_INFORMATION_MARKER] = True  # rebind-ok: stamps the method the class body just defined
+    return method
+
+
 class _StreamRewriteObserver(CustomGuardrail):
     """Stand-in handed to the endpoint translation in place of a streaming pipeline step's
     guardrail. It records whether the guardrail returned different output than it was given,
     which for guardrails like Bedrock's ANONYMIZED action is only known at runtime. Text
     rewrites are deliverable on translations that write them back across the buffered chunks
     (``delivers_ended_stream_text_rewrites``); tool-call rewrites and text rewrites on any
-    other translation are discarded by the executor, which releases the original chunks."""
+    other translation are discarded by the executor, which releases the original chunks.
+    The inner guardrail's ``apply_guardrail`` already records the guardrail information
+    and span, so the observer's stays out of ``log_guardrail_information``."""
 
     def __init__(self, inner: CustomGuardrail) -> None:
         super().__init__(guardrail_name=inner.guardrail_name)
@@ -89,6 +101,7 @@ class _StreamRewriteObserver(CustomGuardrail):
     def structured_messages_cover_full_request(self) -> bool:
         return self.inner.structured_messages_cover_full_request()
 
+    @_logged_by_inner_guardrail
     async def apply_guardrail(
         self,
         inputs: GenericGuardrailAPIInputs,
@@ -305,9 +318,11 @@ class PipelineExecutor:
                 )
         except UndeliverableStreamRewrite:
             _release_original_chunks(step.guardrail, streaming_chunks, originals)
-            return
-        if observer.rewrote_tool_calls or (observer.rewrote_texts and not deliver_rewrites):
-            _release_original_chunks(step.guardrail, streaming_chunks, originals)
+        else:
+            if observer.rewrote_tool_calls or (observer.rewrote_texts and not deliver_rewrites):
+                _release_original_chunks(step.guardrail, streaming_chunks, originals)
+        if not callback.records_own_guardrail_information:
+            add_guardrail_to_applied_guardrails_header(request_data=hook_input, guardrail_name=step.guardrail)
 
     @staticmethod
     async def _run_step(
diff --git a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
index 0685bc6aa1e..54ef1f79f4d 100644
--- a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
+++ b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
@@ -1099,6 +1099,50 @@ async def test_streaming_step_discards_tool_call_rewrite_and_restores_written_te
     assert chunks == [_chunk()]
 
 
+class _BlockingStreamGuardrail(CustomGuardrail):
+    def __init__(self):
+        super().__init__(guardrail_name="masker", event_hook="post_call", default_on=True)
+
+    async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+        raise HTTPException(status_code=400, detail={"error": "output blocked"})
+
+
+def _recorded_guardrail_statuses(result):
+    return [
+        entry["guardrail_status"]
+        for entry in result.modified_data["metadata"]["standard_logging_guardrail_information"]
+    ]
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_records_guardrail_information_once_on_mask(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [_TextReturningGuardrail(["hello [MASKED]"])])
+
+    result = await _run_streaming_step(_WritingTranslation(), [_chunk()])
+
+    assert result.terminal_action == "allow"
+    assert _recorded_guardrail_statuses(result) == ["success"]
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_records_the_guardrail_in_the_applied_guardrails_header(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [_TextReturningGuardrail(["hello [MASKED]"])])
+
+    result = await _run_streaming_step(_WritingTranslation(), [_chunk()])
+
+    assert result.modified_data["metadata"]["applied_guardrails"] == ["masker"]
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_records_guardrail_information_once_on_block(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [_BlockingStreamGuardrail()])
+
+    result = await _run_streaming_step(_WritingTranslation(), [_chunk()])
+
+    assert [step.outcome for step in result.step_results] == ["fail"]
+    assert _recorded_guardrail_statuses(result) == ["guardrail_intervened"]
+
+
 @pytest.mark.asyncio
 async def test_streaming_step_restores_chunks_when_translation_refuses_the_rewrite(monkeypatch, caplog):
     monkeypatch.setattr(litellm, "callbacks", [_TextReturningGuardrail(["hello [MASKED]"])])

From d08a177bc75b45769e5e22efa2bbb4b0ea27ee86 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 21:51:34 -0700
Subject: [PATCH 080/223] fix(policy_engine): keep a policy-added guardrail's
 other stages when a pipeline steps it

A policy that both adds a guardrail and steps it in a post_call pipeline
used to drop the guardrail from the request's guardrail list outright, so
its pre_call stage never ran. The per-hook loops already skip guardrails
by pipeline mode, so the mode-agnostic subtraction only lost coverage
---
 litellm/proxy/litellm_pre_call_utils.py       |  7 +---
 .../proxy/test_litellm_pre_call_utils.py      | 42 +++++++++++++++++++
 2 files changed, 44 insertions(+), 5 deletions(-)

diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index 56512570448..e4bce4378f0 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -3079,10 +3079,9 @@ def _apply_resolved_guardrails_to_metadata(
     if metadata_variable_name not in data:
         data[metadata_variable_name] = {}
 
-    # Track pipeline-managed guardrails to exclude from independent execution
-    pipeline_managed_guardrails: set = set()
+    # Record the pipelines and the guardrails they step; the hook loops skip those per pipeline mode
     if pipelines:
-        pipeline_managed_guardrails = PolicyResolver.get_pipeline_managed_guardrails(pipelines)
+        pipeline_managed_guardrails: Final = PolicyResolver.get_pipeline_managed_guardrails(pipelines)
         data[metadata_variable_name]["_guardrail_pipelines"] = pipelines
         data[metadata_variable_name]["_pipeline_managed_guardrails"] = pipeline_managed_guardrails
         verbose_proxy_logger.debug(
@@ -3099,10 +3098,8 @@ def _apply_resolved_guardrails_to_metadata(
         existing_guardrails = []
 
     # Combine existing guardrails with policy-resolved guardrails (no duplicates)
-    # Exclude pipeline-managed guardrails from the flat list
     combined = set(existing_guardrails)
     combined.update(resolved_guardrails)
-    combined -= pipeline_managed_guardrails
     data[metadata_variable_name]["guardrails"] = list(combined)
 
     verbose_proxy_logger.debug("Policy engine: added guardrails to request metadata: %s", list(combined))
diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
index 7070617ce3e..78fe2e6df88 100644
--- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
+++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
@@ -4148,6 +4148,48 @@ async def test_add_guardrails_from_policy_engine():
     attachment_registry._initialized = False
 
 
+@pytest.mark.asyncio
+async def test_add_guardrails_from_policy_engine_keeps_a_policy_added_guardrail_its_pipeline_also_steps():
+    from litellm.proxy.policy_engine.attachment_registry import get_attachment_registry
+    from litellm.proxy.policy_engine.policy_registry import get_policy_registry
+    from litellm.types.proxy.policy_engine import (
+        GuardrailPipeline,
+        PipelineStep,
+        Policy,
+        PolicyAttachment,
+        PolicyGuardrails,
+    )
+
+    data = {"model": "gpt-4", "messages": [{"role": "user", "content": "Hello"}], "metadata": {}}
+    policy_registry = get_policy_registry()
+    policy_registry._policies = {
+        "response-governance": Policy(
+            guardrails=PolicyGuardrails(add=["pii_blocker"]),
+            pipeline=GuardrailPipeline(mode="post_call", steps=[PipelineStep(guardrail="pii_blocker")]),
+        ),
+    }
+    policy_registry._initialized = True
+    attachment_registry = get_attachment_registry()
+    attachment_registry._attachments = [PolicyAttachment(policy="response-governance", scope="*")]
+    attachment_registry._initialized = True
+
+    try:
+        await add_guardrails_from_policy_engine(
+            data=data,
+            metadata_variable_name="metadata",
+            user_api_key_dict=UserAPIKeyAuth(api_key="test-key"),
+        )
+    finally:
+        policy_registry._policies = {}
+        policy_registry._initialized = False
+        attachment_registry._attachments = []
+        attachment_registry._initialized = False
+
+    assert data["metadata"]["guardrails"] == ["pii_blocker"]
+    assert data["metadata"]["_pipeline_managed_guardrails"] == {"pii_blocker"}
+    assert [pipeline.mode for _policy_name, pipeline in data["metadata"]["_guardrail_pipelines"]] == ["post_call"]
+
+
 @pytest.mark.asyncio
 async def test_add_guardrails_from_policy_engine_accepts_dynamic_policies_and_pops_from_data():
     """

From 08b60c409a0b556efb6bbe6470402a4530666870 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 21:53:26 -0700
Subject: [PATCH 081/223] refactor(guardrails): drop the unused
 rewrites_streamed_output hook

Nothing calls it since the streaming pipeline detects rewrites at run time
through the stream observer, so the base method and the content filter's
override were dead code with dead tests
---
 litellm/integrations/custom_guardrail.py      |  3 -
 .../litellm_content_filter/content_filter.py  |  9 ---
 .../content_filter/test_content_filter.py     | 56 -------------------
 3 files changed, 68 deletions(-)

diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py
index 883329c9fa8..2d66a280663 100644
--- a/litellm/integrations/custom_guardrail.py
+++ b/litellm/integrations/custom_guardrail.py
@@ -773,9 +773,6 @@ class CustomGuardrail(CustomLogger):
     def uses_apply_guardrail_interface(self) -> bool:
         return type(self).apply_guardrail is not CustomGuardrail.apply_guardrail
 
-    def rewrites_streamed_output(self) -> bool:
-        return self.mask_response_content
-
     def _deployment_pre_call_target(self) -> "CustomLogger":
         if not self.uses_apply_guardrail_interface() or self.use_native_lifecycle_hooks:
             return self
diff --git a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
index 85eb50c78e7..722f96ef814 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/litellm_content_filter/content_filter.py
@@ -1947,15 +1947,6 @@ class ContentFilterGuardrail(CustomGuardrail):
                 exception_str=exception_str,
             )
 
-    def rewrites_streamed_output(self) -> bool:
-        return (
-            super().rewrites_streamed_output()
-            or any(entry["action"] == ContentFilterAction.MASK for entry in self.compiled_patterns)
-            or any(action == ContentFilterAction.MASK for action, _ in self.blocked_words.values())
-            or any(action == ContentFilterAction.MASK for _, _, action in self.category_keywords.values())
-            or any(action == ContentFilterAction.MASK for _, _, action in self.always_block_category_keywords.values())
-        )
-
     async def async_post_call_streaming_iterator_hook(
         self,
         user_api_key_dict: UserAPIKeyAuth,
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
index 73020fe3e6f..be55ac47bde 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/content_filter/test_content_filter.py
@@ -3068,59 +3068,3 @@ class TestContentFilterToolCallArguments:
                 request_data={},
                 input_type="response",
             )
-
-
-class TestRewritesStreamedOutput:
-    def test_block_only_rules_do_not_rewrite(self):
-        guardrail = ContentFilterGuardrail(
-            guardrail_name="cf",
-            patterns=[ContentFilterPattern(pattern_type="prebuilt", pattern_name="us_ssn", action=ContentFilterAction.BLOCK)],
-            blocked_words=[BlockedWord(keyword="kumquat", action=ContentFilterAction.BLOCK)],
-        )
-
-        assert guardrail.rewrites_streamed_output() is False
-
-    def test_mask_blocked_word_rewrites(self):
-        guardrail = ContentFilterGuardrail(
-            guardrail_name="cf",
-            blocked_words=[BlockedWord(keyword="persimmon", action=ContentFilterAction.MASK)],
-        )
-
-        assert guardrail.rewrites_streamed_output() is True
-
-    def test_mask_pattern_rewrites(self):
-        guardrail = ContentFilterGuardrail(
-            guardrail_name="cf",
-            patterns=[ContentFilterPattern(pattern_type="prebuilt", pattern_name="us_ssn", action=ContentFilterAction.MASK)],
-        )
-
-        assert guardrail.rewrites_streamed_output() is True
-
-    def test_mask_response_content_rewrites(self):
-        guardrail = ContentFilterGuardrail(
-            guardrail_name="cf",
-            blocked_words=[BlockedWord(keyword="kumquat", action=ContentFilterAction.BLOCK)],
-            mask_response_content=True,
-        )
-
-        assert guardrail.rewrites_streamed_output() is True
-
-    @pytest.mark.parametrize("action, expected", [("MASK", True), ("BLOCK", False)])
-    def test_category_keywords_follow_the_category_action(self, action, expected):
-        guardrail = ContentFilterGuardrail(
-            guardrail_name="cf",
-            categories=[{"category": "bias_gender", "enabled": True, "action": action}],
-        )
-
-        assert guardrail.category_keywords and not guardrail.always_block_category_keywords
-        assert guardrail.rewrites_streamed_output() is expected
-
-    @pytest.mark.parametrize("action, expected", [("MASK", True), ("BLOCK", False)])
-    def test_always_block_category_keywords_follow_the_category_action(self, action, expected):
-        guardrail = ContentFilterGuardrail(
-            guardrail_name="cf",
-            categories=[{"category": "age_discrimination", "enabled": True, "action": action}],
-        )
-
-        assert guardrail.always_block_category_keywords and not guardrail.category_keywords
-        assert guardrail.rewrites_streamed_output() is expected

From 704013dbb6f83962e4cac97c79ac0dd2109cbabf Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 22:13:23 -0700
Subject: [PATCH 082/223] fix(init): keep non-flag LITELLM_DROP_PARAMS values
 on with a warning

The merge base read the variable by truthiness, so any non-empty value
turned the global flag on. Parsing it as a flag made a value such as
temperature or enabled silently turn it off, and the only docs for the
variable describe it as a list of parameter names, so keep those values
on and log a warning that asks for true or false. A blank value stays off
without a warning
---
 litellm/__init__.py                           |  4 +--
 litellm/litellm_core_utils/core_helpers.py    | 16 +++++++++++
 .../litellm_core_utils/test_core_helpers.py   | 28 +++++++++++++++++++
 .../test_litellm/test_drop_params_env_var.py  | 11 +++++---
 4 files changed, 53 insertions(+), 6 deletions(-)

diff --git a/litellm/__init__.py b/litellm/__init__.py
index f7d4dce87d2..fc6dc35fe55 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -47,7 +47,7 @@ from typing import (
 )
 from litellm.types.integrations.datadog import DatadogInitParams
 from litellm.types.integrations.newrelic import NewRelicInitParams
-from litellm.litellm_core_utils.core_helpers import drop_params_flag
+from litellm.litellm_core_utils.core_helpers import drop_params_env_flag
 from litellm._logging import (
     set_verbose,
     _turn_on_debug,
@@ -239,7 +239,7 @@ token: Optional[str] = (
 )
 telemetry = True
 max_tokens: int = DEFAULT_MAX_TOKENS  # OpenAI Defaults
-drop_params = drop_params_flag(os.getenv("LITELLM_DROP_PARAMS"), "LITELLM_DROP_PARAMS", verbose_logger)
+drop_params = drop_params_env_flag(os.environ, verbose_logger)
 modify_params = bool(os.getenv("LITELLM_MODIFY_PARAMS", False))
 use_chat_completions_url_for_anthropic_messages: bool = bool(
     os.getenv("LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES", False)
diff --git a/litellm/litellm_core_utils/core_helpers.py b/litellm/litellm_core_utils/core_helpers.py
index a3dfac81cc1..eacc3e4860a 100644
--- a/litellm/litellm_core_utils/core_helpers.py
+++ b/litellm/litellm_core_utils/core_helpers.py
@@ -58,6 +58,22 @@ def drop_params_flag(value: object, source: str, logger: logging.Logger) -> bool
     return bool(normalized)
 
 
+DROP_PARAMS_ENV_VAR: Final = "LITELLM_DROP_PARAMS"
+
+
+def drop_params_env_flag(environ: Mapping[str, str], logger: logging.Logger) -> bool:
+    configured: Final = environ.get(DROP_PARAMS_ENV_VAR, "").strip()
+    if configured == "":
+        return False
+    normalized: Final = normalize_drop_params(configured)
+    if normalized is None:
+        logger.warning(
+            "%s=%r is not a flag value, treating it as on. Set it to true or false", DROP_PARAMS_ENV_VAR, configured
+        )
+        return True
+    return normalized
+
+
 def safe_divide(
     numerator: float,
     denominator: float,
diff --git a/tests/test_litellm/litellm_core_utils/test_core_helpers.py b/tests/test_litellm/litellm_core_utils/test_core_helpers.py
index e3880175759..e937be47441 100644
--- a/tests/test_litellm/litellm_core_utils/test_core_helpers.py
+++ b/tests/test_litellm/litellm_core_utils/test_core_helpers.py
@@ -6,6 +6,7 @@ import pytest
 
 from litellm.litellm_core_utils.core_helpers import (
     _FINISH_REASON_MAP,
+    drop_params_env_flag,
     drop_params_flag,
     get_or_create_metadata_bucket,
     map_finish_reason,
@@ -301,6 +302,33 @@ def test_drop_params_flag_treats_non_flag_values_as_off_with_a_warning(value, ca
     assert f"LITELLM_DROP_PARAMS={value!r} is not a flag value, treating it as off" in caplog.text
 
 
+@pytest.mark.parametrize(
+    "environ, expected",
+    [
+        ({}, False),
+        ({"LITELLM_DROP_PARAMS": ""}, False),
+        ({"LITELLM_DROP_PARAMS": "   "}, False),
+        ({"LITELLM_DROP_PARAMS": "true"}, True),
+        ({"LITELLM_DROP_PARAMS": " False "}, False),
+        ({"LITELLM_DROP_PARAMS": "0"}, False),
+    ],
+)
+def test_drop_params_env_flag_reads_a_flag_without_a_warning(environ, expected, caplog):
+    with caplog.at_level(logging.WARNING, logger="drop-params-test"):
+        assert drop_params_env_flag(environ, logging.getLogger("drop-params-test")) is expected
+    assert caplog.text == ""
+
+
+@pytest.mark.parametrize("configured", ["temperature", "temperature,top_p", "enabled"])
+def test_drop_params_env_flag_keeps_a_non_flag_value_on_with_a_warning(configured, caplog):
+    with caplog.at_level(logging.WARNING, logger="drop-params-test"):
+        assert drop_params_env_flag({"LITELLM_DROP_PARAMS": configured}, logging.getLogger("drop-params-test")) is True
+    assert (
+        f"LITELLM_DROP_PARAMS={configured!r} is not a flag value, treating it as on. Set it to true or false"
+        in caplog.text
+    )
+
+
 class TestIsExpectedClientError:
     def test_status_ranges(self):
         from litellm.litellm_core_utils.core_helpers import is_expected_client_error
diff --git a/tests/test_litellm/test_drop_params_env_var.py b/tests/test_litellm/test_drop_params_env_var.py
index 339298df3d1..1e0b7801ef1 100644
--- a/tests/test_litellm/test_drop_params_env_var.py
+++ b/tests/test_litellm/test_drop_params_env_var.py
@@ -15,7 +15,7 @@ def _import_litellm_with(configured: str) -> subprocess.CompletedProcess[str]:
     )
 
 
-@pytest.mark.parametrize("configured, expected", [("false", "False"), ("true", "True")])
+@pytest.mark.parametrize("configured, expected", [("false", "False"), ("true", "True"), ("", "False")])
 def test_litellm_drop_params_env_var_is_parsed_as_a_flag(configured, expected):
     result = _import_litellm_with(configured)
 
@@ -23,8 +23,11 @@ def test_litellm_drop_params_env_var_is_parsed_as_a_flag(configured, expected):
     assert "is not a flag value" not in result.stderr
 
 
-def test_litellm_drop_params_env_var_non_flag_value_is_off_with_a_warning():
+def test_litellm_drop_params_env_var_non_flag_value_stays_on_with_a_warning():
     result = _import_litellm_with("temperature")
 
-    assert result.stdout.strip() == "False"
-    assert "LITELLM_DROP_PARAMS='temperature' is not a flag value, treating it as off" in result.stderr
+    assert result.stdout.strip() == "True"
+    assert (
+        "LITELLM_DROP_PARAMS='temperature' is not a flag value, treating it as on. Set it to true or false"
+        in result.stderr
+    )

From 5706952588ee2b2445e864ce8a85af3339bb138b Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 22:22:51 -0700
Subject: [PATCH 083/223] fix(azure_ai): drop gpt-chat-latest effort levels,
 test prices via calculator

litellm's azure_ai config rejects reasoning_effort for gpt-chat-latest and Azure documents a fixed reasoning level for it, so the entry no longer advertises reasoning_effort_levels. The catalog metadata tests compare cost_per_token and the whisper transcription cost with the entry the calculator read instead of with list-price literals, the pattern #40195 removed
---
 ...odel_prices_and_context_window_backup.json |  3 -
 model_prices_and_context_window.json          |  3 -
 ...azure_ai_foundry_catalog_model_metadata.py | 80 +++++++++----------
 3 files changed, 40 insertions(+), 46 deletions(-)

diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 674a8b98304..7e7d8a9e930 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -3591,9 +3591,6 @@
         "max_tokens": 128000,
         "mode": "chat",
         "output_cost_per_token": 3e-05,
-        "reasoning_effort_levels": [
-            "medium"
-        ],
         "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/",
         "supported_endpoints": [
             "/v1/chat/completions",
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 674a8b98304..7e7d8a9e930 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -3591,9 +3591,6 @@
         "max_tokens": 128000,
         "mode": "chat",
         "output_cost_per_token": 3e-05,
-        "reasoning_effort_levels": [
-            "medium"
-        ],
         "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/",
         "supported_endpoints": [
             "/v1/chat/completions",
diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
index 19b082edd8a..84d5cd2a7d4 100644
--- a/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py
@@ -1,11 +1,10 @@
-from dataclasses import dataclass
 from pathlib import Path
 from typing import Final
 
 import pytest
 from pydantic import TypeAdapter
 
-from litellm import completion_cost, cost_per_token
+from litellm import completion_cost, cost_per_token, get_model_info
 from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
 from litellm.types.utils import TranscriptionResponse
 
@@ -15,31 +14,39 @@ BACKUP_COST_MAP: Final = REPO_ROOT / "litellm" / "model_prices_and_context_windo
 COST_MAP_ADAPTER: Final = TypeAdapter(dict[str, dict[str, object]])
 AZURE_PRICING_PREFIX: Final = "https://azure.microsoft.com/en-us/pricing/details/"
 A_MILLION: Final = 1_000_000
+AN_HOUR_IN_SECONDS: Final = 3600
 
-
-@dataclass(frozen=True, slots=True)
-class TokenPricedCatalogModel:
-    catalog_name: str
-    dollars_per_million_input: float
-    dollars_per_million_output: float
-
-
-TOKEN_PRICED_MODELS: Final = (
-    TokenPricedCatalogModel("gpt-chat-latest", 5.0, 30.0),
-    TokenPricedCatalogModel("codex-mini", 1.5, 6.0),
-    TokenPricedCatalogModel("model-router", 0.14, 0.0),
-    TokenPricedCatalogModel("cohere-command-a", 2.5, 10.0),
-    TokenPricedCatalogModel("grok-4-20-reasoning", 1.25, 2.5),
-    TokenPricedCatalogModel("grok-4-20-non-reasoning", 1.25, 2.5),
+TOKEN_PRICED_NAMES: Final = (
+    "gpt-chat-latest",
+    "codex-mini",
+    "model-router",
+    "cohere-command-a",
+    "grok-4-20-reasoning",
+    "grok-4-20-non-reasoning",
 )
 GROK_4_20_NAMES: Final = ("grok-4-20-reasoning", "grok-4-20-non-reasoning")
-CATALOG_NAMES: Final = tuple(spec.catalog_name for spec in TOKEN_PRICED_MODELS) + ("whisper",)
+CATALOG_NAMES: Final = TOKEN_PRICED_NAMES + ("whisper",)
 
 
 def _cost_map_entry(path: Path, catalog_name: str) -> dict[str, object]:
     return COST_MAP_ADAPTER.validate_json(path.read_bytes())[f"azure_ai/{catalog_name}"]
 
 
+def _whisper_transcription_cost(duration_seconds: int) -> float:
+    transcription: Final = TranscriptionResponse(text="hello")
+    transcription._hidden_params = {  # pyright: ignore[reportPrivateUsage]  # TranscriptionResponse exposes no public hidden-params setter
+        "custom_llm_provider": "azure_ai",
+        "model": "azure_ai/whisper",
+        "audio_transcription_duration": duration_seconds,
+    }
+    return completion_cost(
+        completion_response=transcription,
+        model="azure_ai/whisper",
+        custom_llm_provider="azure_ai",
+        call_type="atranscription",
+    )
+
+
 @pytest.mark.parametrize("catalog_name", CATALOG_NAMES)
 def test_azure_ai_catalog_name_routes_to_azure_ai(catalog_name: str) -> None:
     routed_model, provider, _, _ = get_llm_provider(model=f"azure_ai/{catalog_name}")
@@ -47,20 +54,22 @@ def test_azure_ai_catalog_name_routes_to_azure_ai(catalog_name: str) -> None:
 
 
 @pytest.mark.usefixtures("local_model_cost_map")
-@pytest.mark.parametrize("spec", TOKEN_PRICED_MODELS, ids=lambda spec: spec.catalog_name)
-def test_azure_ai_catalog_name_costs_a_million_tokens_at_list_price(spec: TokenPricedCatalogModel) -> None:
+@pytest.mark.parametrize("catalog_name", TOKEN_PRICED_NAMES)
+def test_azure_ai_catalog_name_charges_its_own_entry_per_token(catalog_name: str) -> None:
+    entry: Final = get_model_info(f"azure_ai/{catalog_name}")
     prompt_cost, completion_cost_usd = cost_per_token(
-        model=f"azure_ai/{spec.catalog_name}", prompt_tokens=A_MILLION, completion_tokens=A_MILLION
+        model=f"azure_ai/{catalog_name}", prompt_tokens=A_MILLION, completion_tokens=A_MILLION
     )
-    assert prompt_cost == pytest.approx(spec.dollars_per_million_input)
-    assert completion_cost_usd == pytest.approx(spec.dollars_per_million_output)
+    assert prompt_cost > 0
+    assert prompt_cost == pytest.approx(A_MILLION * entry["input_cost_per_token"])
+    assert completion_cost_usd == pytest.approx(A_MILLION * entry["output_cost_per_token"])
 
 
 @pytest.mark.usefixtures("local_model_cost_map")
-@pytest.mark.parametrize("spec", TOKEN_PRICED_MODELS, ids=lambda spec: spec.catalog_name)
-def test_azure_ai_catalog_name_prices_the_same_in_any_casing(spec: TokenPricedCatalogModel) -> None:
-    lowercase_cost = cost_per_token(model=f"azure_ai/{spec.catalog_name}", prompt_tokens=A_MILLION, completion_tokens=0)
-    upper_cost = cost_per_token(model=f"azure_ai/{spec.catalog_name.upper()}", prompt_tokens=A_MILLION, completion_tokens=0)
+@pytest.mark.parametrize("catalog_name", TOKEN_PRICED_NAMES)
+def test_azure_ai_catalog_name_prices_the_same_in_any_casing(catalog_name: str) -> None:
+    lowercase_cost = cost_per_token(model=f"azure_ai/{catalog_name}", prompt_tokens=A_MILLION, completion_tokens=0)
+    upper_cost = cost_per_token(model=f"azure_ai/{catalog_name.upper()}", prompt_tokens=A_MILLION, completion_tokens=0)
     assert upper_cost == lowercase_cost
 
 
@@ -80,19 +89,10 @@ def test_azure_ai_grok_4_20_bills_cached_prompt_tokens_at_the_input_price(catalo
 
 @pytest.mark.usefixtures("local_model_cost_map")
 def test_azure_ai_whisper_catalog_name_is_priced_per_second() -> None:
-    transcription: Final = TranscriptionResponse(text="hello")
-    transcription._hidden_params = {  # pyright: ignore[reportPrivateUsage]  # TranscriptionResponse exposes no public hidden-params setter
-        "custom_llm_provider": "azure_ai",
-        "model": "azure_ai/whisper",
-        "audio_transcription_duration": 3600,
-    }
-    cost = completion_cost(
-        completion_response=transcription,
-        model="azure_ai/whisper",
-        custom_llm_provider="azure_ai",
-        call_type="atranscription",
-    )
-    assert cost == pytest.approx(0.36)
+    one_second_cost: Final = _whisper_transcription_cost(1)
+    one_hour_cost: Final = _whisper_transcription_cost(AN_HOUR_IN_SECONDS)
+    assert one_second_cost > 0
+    assert one_hour_cost == pytest.approx(AN_HOUR_IN_SECONDS * one_second_cost)
 
 
 @pytest.mark.parametrize("catalog_name", CATALOG_NAMES)

From 3cadf2f8f7120bf10409a353ef08e4cdc6f78b80 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Mon, 7 Sep 2026 22:35:19 -0700
Subject: [PATCH 084/223] test(azure_ai): charge the router fee over cached
 prompt tokens too

---
 .../llms/azure_ai/test_azure_ai_cost_calculator.py   | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
index 7df14b91741..a43fc3332af 100644
--- a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
+++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py
@@ -138,6 +138,18 @@ class TestAzureModelRouterFlatCost:
         assert prompt_cost == pytest.approx(1000 * ROUTER_FEE_PER_TOKEN, rel=1e-9)
         assert completion_cost_usd == 0.0
 
+    def test_unmapped_router_deployment_name_charges_the_fee_over_cached_prompt_tokens_too(self) -> None:
+        usage = Usage(
+            prompt_tokens=2000,
+            completion_tokens=800,
+            total_tokens=2800,
+            cache_read_input_tokens=500,
+            cache_creation_input_tokens=200,
+        )
+        prompt_cost, completion_cost_usd = cost_per_token(model="azure-model-router", usage=usage)
+        assert prompt_cost == pytest.approx(2000 * ROUTER_FEE_PER_TOKEN, rel=1e-9)
+        assert completion_cost_usd == 0.0
+
     def test_router_deployment_name_as_both_names_charges_the_fee_once(self) -> None:
         usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500)
         prompt_cost, completion_cost_usd = cost_per_token(

From 5c037299f413c38609cbb7f5a582662e44b197d4 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 23:02:27 -0700
Subject: [PATCH 085/223] feat: move MongoDB vector search to an optional
 sidecar

---
 .github/workflows/_test-unit-base.yml         |    2 +-
 Dockerfile                                    |    2 -
 docker/Dockerfile.database                    |    2 -
 docker/Dockerfile.non_root                    |    3 -
 gateway/Dockerfile                            |    2 -
 .../base_llm/vector_store/transformation.py   |    3 +
 litellm/llms/custom_httpx/llm_http_handler.py |   17 +-
 litellm/llms/mongodb/common_utils.py          |  303 ---
 .../mongodb/vector_stores/transformation.py   |  449 ++---
 pyproject.toml                                |    1 -
 .../test_mongodb_transformation.py            | 1691 ++---------------
 .../_components/VectorStoreForm.test.tsx      |   12 +-
 .../_components/VectorStoreForm.tsx           |    4 +-
 .../vector_store_providers.test.tsx           |   11 +-
 .../src/components/vector_store_providers.tsx |   27 +-
 uv.lock                                       |   79 +-
 16 files changed, 412 insertions(+), 2196 deletions(-)
 delete mode 100644 litellm/llms/mongodb/common_utils.py

diff --git a/.github/workflows/_test-unit-base.yml b/.github/workflows/_test-unit-base.yml
index 75b0f93fd77..62790e23143 100644
--- a/.github/workflows/_test-unit-base.yml
+++ b/.github/workflows/_test-unit-base.yml
@@ -113,7 +113,7 @@ jobs:
         if: steps.changes.outputs.decision != 'skip'
         timeout-minutes: 8
         run: |
-          .github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router --extra saml --extra mongodb
+          .github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router --extra saml
           uv run --no-sync python -c 'import os, sys; print(sys.version); assert f"{sys.version_info.major}.{sys.version_info.minor}" == os.environ["UV_PYTHON"]'
 
       - name: Cache Prisma binaries
diff --git a/Dockerfile b/Dockerfile
index 1648ec69d13..0a92aa9a68c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -67,7 +67,6 @@ RUN uv sync --frozen --no-install-project --no-install-workspace --no-default-gr
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
-    --extra mongodb \
     --python python3.13
 
 # Copy full source tree
@@ -90,7 +89,6 @@ RUN uv sync --frozen --no-default-groups --no-editable \
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
-    --extra mongodb \
     --python python3.13
 
 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \
diff --git a/docker/Dockerfile.database b/docker/Dockerfile.database
index cc81ad6b3d3..e9ad2849bb2 100644
--- a/docker/Dockerfile.database
+++ b/docker/Dockerfile.database
@@ -65,7 +65,6 @@ RUN uv sync --frozen --no-install-project --no-install-workspace --no-default-gr
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
-    --extra mongodb \
     --python python3.13
 
 # Copy full source tree
@@ -88,7 +87,6 @@ RUN uv sync --frozen --no-default-groups --no-editable \
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
-    --extra mongodb \
     --python python3.13
 
 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \
diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root
index 358425af901..edf20e8bbff 100644
--- a/docker/Dockerfile.non_root
+++ b/docker/Dockerfile.non_root
@@ -71,7 +71,6 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \
     --extra semantic-router \
     --extra saml \
     --extra bedrock-realtime \
-    --extra mongodb \
     --python python3.13
 
 # Copy full source tree
@@ -100,7 +99,6 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \
         --extra semantic-router \
         --extra saml \
         --extra bedrock-realtime \
-        --extra mongodb \
         --python python3.13 \
         --no-sources-package litellm-proxy-extras; \
     else \
@@ -111,7 +109,6 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \
         --extra semantic-router \
         --extra saml \
         --extra bedrock-realtime \
-        --extra mongodb \
         --python python3.13; \
     fi
 
diff --git a/gateway/Dockerfile b/gateway/Dockerfile
index e42e488d57f..308d70a6b26 100644
--- a/gateway/Dockerfile
+++ b/gateway/Dockerfile
@@ -47,7 +47,6 @@ RUN --mount=type=cache,target=/root/.cache/uv \
         --extra extra_proxy \
         --extra semantic-router \
         --extra bedrock-realtime \
-        --extra mongodb \
         --python python3.13
 
 # Stage 2 — copy source and install the project + workspace members.
@@ -60,7 +59,6 @@ RUN --mount=type=cache,target=/root/.cache/uv \
         --extra extra_proxy \
         --extra semantic-router \
         --extra bedrock-realtime \
-        --extra mongodb \
         --python python3.13
 
 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \
diff --git a/litellm/llms/base_llm/vector_store/transformation.py b/litellm/llms/base_llm/vector_store/transformation.py
index c8d2b7fe522..07b60cb4b72 100644
--- a/litellm/llms/base_llm/vector_store/transformation.py
+++ b/litellm/llms/base_llm/vector_store/transformation.py
@@ -121,6 +121,9 @@ class RouterVectorStoreEmbeddingExecutor:
 
 
 class BaseVectorStoreConfig:
+    def validate_create_vector_store(self) -> None:
+        return None
+
     def get_supported_openai_params(self, model: str) -> list[VECTOR_STORE_OPENAI_PARAMS]:
         return []
 
diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py
index 2f561809940..1dc4b198890 100644
--- a/litellm/llms/custom_httpx/llm_http_handler.py
+++ b/litellm/llms/custom_httpx/llm_http_handler.py
@@ -9814,7 +9814,7 @@ class BaseLLMHTTPHandler:
                 vector_store_search_optional_params=vector_store_search_optional_params,
                 api_base=api_base,
                 litellm_logging_obj=logging_obj,
-                litellm_params=dict(litellm_params),
+                litellm_params={**dict(litellm_params), "timeout": timeout},
                 extra_body=extra_body,
                 embedding_executor=embedding_executor,
             )
@@ -9859,6 +9859,10 @@ class BaseLLMHTTPHandler:
                 data=request_data,
                 timeout=timeout,
             )
+        except httpx.TimeoutException:
+            raise vector_store_provider_config.get_error_class(
+                error_message="Vector store search exceeded the caller timeout.", status_code=408, headers={}
+            ) from None
         except Exception as e:
             raise self._handle_error(e=e, provider_config=vector_store_provider_config)
 
@@ -9943,7 +9947,7 @@ class BaseLLMHTTPHandler:
                 vector_store_search_optional_params=vector_store_search_optional_params,
                 api_base=api_base,
                 litellm_logging_obj=logging_obj,
-                litellm_params=dict(litellm_params),
+                litellm_params={**dict(litellm_params), "timeout": timeout},
                 extra_body=extra_body,
                 embedding_executor=embedding_executor,
             )
@@ -9988,7 +9992,12 @@ class BaseLLMHTTPHandler:
                 url=url,
                 headers=headers,
                 data=request_data,
+                timeout=timeout,
             )
+        except httpx.TimeoutException:
+            raise vector_store_provider_config.get_error_class(
+                error_message="Vector store search exceeded the caller timeout.", status_code=408, headers={}
+            ) from None
         except Exception as e:
             raise self._handle_error(e=e, provider_config=vector_store_provider_config)
 
@@ -10018,6 +10027,8 @@ class BaseLLMHTTPHandler:
         else:
             async_httpx_client = client
 
+        vector_store_provider_config.validate_create_vector_store()
+
         headers: Final = vector_store_provider_config.validate_environment(
             headers=extra_headers or {}, litellm_params=litellm_params
         )
@@ -10088,6 +10099,8 @@ class BaseLLMHTTPHandler:
         else:
             sync_httpx_client = client
 
+        vector_store_provider_config.validate_create_vector_store()
+
         headers: Final = vector_store_provider_config.validate_environment(
             headers=extra_headers or {}, litellm_params=litellm_params
         )
diff --git a/litellm/llms/mongodb/common_utils.py b/litellm/llms/mongodb/common_utils.py
deleted file mode 100644
index 02c0b359407..00000000000
--- a/litellm/llms/mongodb/common_utils.py
+++ /dev/null
@@ -1,303 +0,0 @@
-"""Shared helpers for the MongoDB integrations. pymongo lives in the optional ``mongodb`` extra,
-so every import of it is deferred to call time."""
-
-import asyncio
-import threading
-import weakref
-from asyncio import AbstractEventLoop
-from collections import OrderedDict
-from collections.abc import Callable, Mapping
-from dataclasses import dataclass
-from types import MappingProxyType
-from typing import TYPE_CHECKING, Final, TypeAlias, TypeVar
-
-from litellm.exceptions import BadRequestError, ServiceUnavailableError, Timeout
-
-if TYPE_CHECKING:
-    from pymongo import AsyncMongoClient, MongoClient
-
-PYMONGO_INSTALL_HINT: Final = (
-    "The MongoDB vector store requires the 'pymongo' package. "
-    "Run 'pip install litellm[mongodb]' (or 'pip install pymongo') to install it."
-)
-
-MONGODB_PROVIDER: Final = "mongodb"
-
-
-def config_error(message: str) -> BadRequestError:
-    """400 rather than the 500 a bare ValueError becomes once litellm.exception_type wraps it."""
-    return BadRequestError(message=message, model=None, llm_provider=MONGODB_PROVIDER)
-
-
-def timeout_error(message: str) -> Timeout:
-    return Timeout(message=message, model=None, llm_provider=MONGODB_PROVIDER)
-
-
-def unavailable_error(message: str) -> ServiceUnavailableError:
-    """litellm only retries 408, 409, 429 and 5xx, so a 400 here would make a failover permanent."""
-    return ServiceUnavailableError(message=message, model=None, llm_provider=MONGODB_PROVIDER)
-
-
-DEFAULT_CONNECT_TIMEOUT_MS: Final = 10_000
-DEFAULT_SOCKET_TIMEOUT_MS: Final = 30_000
-DEFAULT_SERVER_SELECTION_TIMEOUT_MS: Final = 10_000
-
-_MAX_CACHED_CLIENTS: Final = 32
-
-_APP_NAME: Final = "litellm"
-
-
-@dataclass(frozen=True, slots=True)
-class MongoClientKey:
-    connection_string: str
-    connect_timeout_ms: int
-    socket_timeout_ms: int
-    server_selection_timeout_ms: int
-
-
-SyncClientFactory: TypeAlias = Callable[..., "MongoClient"]
-AsyncClientFactory: TypeAlias = Callable[..., "AsyncMongoClient"]
-
-_K = TypeVar("_K")
-_V = TypeVar("_V")
-
-_AsyncClientCacheKey: TypeAlias = tuple[MongoClientKey, int]
-# CPython recycles id() aggressively, so the id alone would hand a new loop a closed loop's client
-_AsyncClientEntry: TypeAlias = tuple["weakref.ref[AbstractEventLoop]", "AsyncMongoClient"]
-
-_SyncClientCache: TypeAlias = "OrderedDict[MongoClientKey, MongoClient]"
-_AsyncClientCache: TypeAlias = "OrderedDict[_AsyncClientCacheKey, _AsyncClientEntry]"
-
-_sync_clients: Final[_SyncClientCache] = OrderedDict()  # mutable-ok: process-level client cache
-_async_clients: Final[_AsyncClientCache] = OrderedDict()  # mutable-ok: same cache, per loop
-# async searches reach the sync client through executor threads, so both caches are shared state
-_cache_lock: Final = threading.Lock()
-
-
-def _store_bounded(cache: "OrderedDict[_K, _V]", cache_key: "_K", value: "_V") -> None:
-    """Eviction only drops this cache's reference; an in-flight search keeps its client alive."""
-    with _cache_lock:
-        cache[cache_key] = value  # mutable-ok: an LRU cache is mutable state by definition
-        cache.move_to_end(cache_key)
-        while len(cache) > _MAX_CACHED_CLIENTS:
-            cache.popitem(last=False)
-
-
-def _mark_used(cache: "OrderedDict[_K, _V]", cache_key: "_K") -> None:
-    with _cache_lock:
-        if cache_key in cache:
-            cache.move_to_end(cache_key)
-
-
-def import_sync_mongo_client() -> "type[MongoClient]":
-    try:
-        from pymongo import MongoClient as SyncMongoClient
-    except ImportError as e:
-        raise config_error(PYMONGO_INSTALL_HINT) from e
-    return SyncMongoClient
-
-
-def import_async_mongo_client() -> "type[AsyncMongoClient]":
-    try:
-        from pymongo import AsyncMongoClient as AsyncMongoClientClass
-    except ImportError as e:
-        raise config_error(PYMONGO_INSTALL_HINT) from e
-    return AsyncMongoClientClass
-
-
-def _client_kwargs(key: MongoClientKey) -> Mapping[str, object]:
-    return MappingProxyType(
-        {
-            "connectTimeoutMS": key.connect_timeout_ms,
-            "socketTimeoutMS": key.socket_timeout_ms,
-            "serverSelectionTimeoutMS": key.server_selection_timeout_ms,
-            "appname": _APP_NAME,
-        }
-    )
-
-
-def get_sync_client(key: MongoClientKey, client_class: SyncClientFactory | None = None) -> "MongoClient":
-    cached: Final = _sync_clients.get(key)
-    if cached is not None:
-        _mark_used(_sync_clients, key)
-        return cached
-    build: Final = client_class if client_class is not None else import_sync_mongo_client()
-    client: Final = build(key.connection_string, **_client_kwargs(key))
-    _store_bounded(_sync_clients, key, client)
-    return client
-
-
-def _purge_dead_loops() -> None:
-    """A cached client holds its loop alive, so a closed loop's entry would pin that client and its
-    sockets for the life of the process."""
-    with _cache_lock:
-        for stale in tuple(
-            cache_key
-            for cache_key, (loop_ref, _) in _async_clients.items()
-            if (cached_loop := loop_ref()) is None or cached_loop.is_closed()
-        ):
-            del _async_clients[stale]
-
-
-def get_async_client(key: MongoClientKey, client_class: AsyncClientFactory | None = None) -> "AsyncMongoClient":
-    """Async clients bind to the loop that created them, so the cache is keyed per loop."""
-    loop: Final = asyncio.get_running_loop()
-    loop_key: Final = (key, id(loop))
-    cached: Final = _async_clients.get(loop_key)
-    if cached is not None and cached[0]() is loop:
-        _mark_used(_async_clients, loop_key)
-        return cached[1]
-    _purge_dead_loops()
-    build: Final = client_class if client_class is not None else import_async_mongo_client()
-    client: Final = build(key.connection_string, **_client_kwargs(key))
-    _store_bounded(_async_clients, loop_key, (weakref.ref(loop), client))
-    return client
-
-
-def reset_client_cache() -> None:
-    with _cache_lock:
-        _sync_clients.clear()
-        _async_clients.clear()
-
-
-_AUTHENTICATION_FAILED_CODE: Final = 18
-_UNAUTHORIZED_CODE: Final = 13
-# Atlas reports a rejected user as code 8000 "AtlasError" where a self-managed mongod reports 18
-_AUTHENTICATION_MESSAGE_MARKERS: Final = ("bad auth", "authentication failed", "not authorized")
-_RESOLUTION_TIMEOUT_MARKERS: Final = ("resolution lifetime expired", "dns operation timed out")
-_UNKNOWN_HOSTNAME_MARKERS: Final = ("dns query name does not exist", "name or service not known")
-_CREDENTIAL_ESCAPING_MARKERS: Final = ("must be escaped according to rfc 3986", "bad database name")
-
-
-def _index_hint(index_name: str, database: str, collection: str) -> str:
-    return (
-        f"No queryable MongoDB Vector Search index named '{index_name}' was found on "
-        f"'{database}.{collection}'. Confirm the index exists on that exact collection, that its "
-        "status is READY rather than still building, and that the vector store id matches the index name."
-    )
-
-
-def missing_index_error(index_name: str, database: str, collection: str) -> BadRequestError:
-    """$vectorSearch against a missing index, database or collection returns zero documents rather
-    than failing, so an empty result set is checked against the catalogue and reported as this."""
-    return config_error(
-        f"{_index_hint(index_name, database, collection)} A vector search against a database, "
-        "collection or index that does not exist returns no results rather than an error, so this "
-        "was reported as an empty result set by MongoDB."
-    )
-
-
-def index_not_ready_error(index_name: str, database: str, collection: str, status: str) -> BadRequestError:
-    return config_error(
-        f"The MongoDB Vector Search index '{index_name}' on '{database}.{collection}' is not queryable "
-        f"yet; its status is {status}. Searches against it return no results until the build finishes."
-    )
-
-
-def translate_mongo_error(error: Exception, index_name: str, database: str, collection: str) -> Exception:
-    """Returns the exception to raise, so callers keep the driver error as ``__cause__``."""
-    try:
-        from pymongo.errors import (
-            ConfigurationError,
-            ConnectionFailure,
-            ExecutionTimeout,
-            InvalidOperation,
-            NetworkTimeout,
-            OperationFailure,
-            ServerSelectionTimeoutError,
-        )
-    except ImportError:
-        return error
-
-    if isinstance(error, ServerSelectionTimeoutError):
-        return timeout_error(
-            "Could not reach the MongoDB deployment before the timeout. On Atlas this is usually the "
-            "project's IP access list not containing this host, or a paused cluster. On a self-managed "
-            "deployment it is usually the host or port in the URI, or a firewall between this process "
-            f"and mongod. Either way it can also be an unresolvable hostname. Driver detail: {error}"
-        )
-    # ExecutionTimeout subclasses OperationFailure, so it has to be matched before it
-    if isinstance(error, (NetworkTimeout, ExecutionTimeout)):
-        return timeout_error(
-            f"The MongoDB vector search against '{database}.{collection}' timed out before returning. "
-            f"Driver detail: {error}"
-        )
-    # ServerSelectionTimeoutError and NetworkTimeout also subclass ConnectionFailure, so this only
-    # sees what those branches left
-    if isinstance(error, ConnectionFailure):
-        return unavailable_error(
-            f"The connection to '{database}.{collection}' was dropped or refused. That is usually a "
-            "replica set failover or a restarted node, so the search is worth retrying. If it keeps "
-            "happening: on Atlas the usual cause is a connection string with no username and password, "
-            "or a TLS failure, so confirm the URI is the one Atlas shows under Connect, Drivers; on a "
-            "self-managed deployment, check that mongod is listening on the host and port in the URI. "
-            f"Driver detail: {error}"
-        )
-    if isinstance(error, OperationFailure):
-        code: Final = error.code
-        detail: Final = str(error).lower()
-        if code in (_AUTHENTICATION_FAILED_CODE, _UNAUTHORIZED_CODE) or any(
-            marker in detail for marker in _AUTHENTICATION_MESSAGE_MARKERS
-        ):
-            return config_error(
-                "MongoDB rejected the credentials in mongodb_connection_string, or the database user "
-                f"lacks read access to '{database}.{collection}'. Driver detail: {error.details}"
-            )
-        if "dimension" in detail:
-            return config_error(
-                "The query embedding does not match the vector dimensions the index was built for. "
-                "litellm_embedding_model must be the same model that produced the stored vectors. "
-                f"Driver detail: {error}"
-            )
-        if "is not indexed as vector" in detail:
-            return config_error(
-                "mongodb_embedding_field names a field the MongoDB Vector Search index does not cover. "
-                f"It must match the 'path' the index '{index_name}' was created on. Driver detail: {error}"
-            )
-        if "index" in detail and ("not found" in detail or "does not exist" in detail or "unknown" in detail):
-            return config_error(f"{_index_hint(index_name, database, collection)} Driver detail: {error}")
-        return config_error(
-            f"MongoDB rejected the vector search against '{database}.{collection}' using index "
-            f"'{index_name}'. Driver detail: {error}"
-        )
-    if isinstance(error, ConfigurationError):
-        configuration_detail: Final = str(error).lower()
-        if any(marker in configuration_detail for marker in _RESOLUTION_TIMEOUT_MARKERS):
-            return timeout_error(
-                "The DNS lookup for the cluster in mongodb_connection_string did not finish in time. "
-                "A mongodb+srv:// URI needs an SRV lookup before any connection is attempted, so this "
-                f"is DNS or the configured timeout, not MongoDB. Driver detail: {error}"
-            )
-        if any(marker in configuration_detail for marker in _UNKNOWN_HOSTNAME_MARKERS):
-            return config_error(
-                "The hostname in mongodb_connection_string does not exist in DNS. On Atlas, check the "
-                "cluster name against the URI shown under Connect, Drivers. On a self-managed deployment, "
-                f"check that the hostname resolves from this process. Driver detail: {error}"
-            )
-        if any(marker in configuration_detail for marker in _CREDENTIAL_ESCAPING_MARKERS):
-            return config_error(
-                "mongodb_connection_string could not be parsed. A username or password containing "
-                "'@', '/', ':' or '%' has to be percent-encoded per RFC 3986, so 'p@ss/word' becomes "
-                "'p%40ss%2Fword'. If the credentials are already encoded, check the database name in "
-                f"the URI path instead. Driver detail: {error}"
-            )
-        return config_error(
-            f"mongodb_connection_string is not a usable MongoDB connection string. Driver detail: {error}"
-        )
-    if isinstance(error, InvalidOperation):
-        return config_error(f"The MongoDB client was already closed or is unusable. Driver detail: {error}")
-    # An unreadable tlsCAFile or tlsCertificateKeyFile raises OSError, not a PyMongoError
-    if isinstance(error, OSError) and error.filename:
-        return config_error(
-            f"'{error.filename}', named by a TLS option in mongodb_connection_string, could not be read. "
-            "Check that tlsCAFile and tlsCertificateKeyFile point at files this process can open; inside "
-            f"a container that is the path in the container, not on the host. Driver detail: {error}"
-        )
-    # pymongo raises a plain ValueError, not a PyMongoError, for an unusable port
-    if isinstance(error, ValueError):
-        return config_error(
-            "The host and port in mongodb_connection_string could not be parsed. If the port is a "
-            "number between 0 and 65535, the cause is usually an unescaped ':' in the password, which "
-            f"has to be percent-encoded per RFC 3986 as '%3A'. Driver detail: {error}"
-        )
-    return error
diff --git a/litellm/llms/mongodb/vector_stores/transformation.py b/litellm/llms/mongodb/vector_stores/transformation.py
index 3382c931c96..92965ab745b 100644
--- a/litellm/llms/mongodb/vector_stores/transformation.py
+++ b/litellm/llms/mongodb/vector_stores/transformation.py
@@ -1,37 +1,28 @@
-"""MongoDB Vector Search has no HTTP query API, so this is a direct provider that runs the
-``$vectorSearch`` aggregation through pymongo. ``vector_store_id`` is the search index name."""
-
-from collections.abc import Callable, Mapping, Sequence
+from collections.abc import Mapping, Sequence
+from math import isfinite
 from types import MappingProxyType
-from typing import TYPE_CHECKING, Final, NoReturn
+from typing import TYPE_CHECKING, Final, Literal, NoReturn
+from urllib.parse import quote, urlsplit
 
 import httpx
-from pydantic import BaseModel, ConfigDict
+from pydantic import BaseModel, ConfigDict, TypeAdapter, ValidationError
 
+from litellm.exceptions import AuthenticationError, BadRequestError, ServiceUnavailableError, Timeout
+from litellm.llms.base_llm.chat.transformation import BaseLLMException
 from litellm.llms.base_llm.vector_store.transformation import (
-    BaseDirectVectorStoreConfig,
+    BaseQueryEmbeddingVectorStoreConfig,
     LiteLLMVectorStoreEmbeddingExecutor,
     VectorStoreEmbeddingExecutor,
 )
-from litellm.llms.mongodb.common_utils import (
-    DEFAULT_CONNECT_TIMEOUT_MS,
-    DEFAULT_SERVER_SELECTION_TIMEOUT_MS,
-    DEFAULT_SOCKET_TIMEOUT_MS,
-    MongoClientKey,
-    config_error,
-    get_async_client,
-    get_sync_client,
-    index_not_ready_error,
-    missing_index_error,
-    translate_mongo_error,
-)
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.router import GenericLiteLLMParams
 from litellm.types.utils import EmbeddingResponse
 from litellm.types.vector_stores import (
+    BaseVectorStoreAuthCredentials,
     VectorStoreCreateOptionalRequestParams,
-    VectorStoreResultContent,
+    VectorStoreIndexEndpoints,
     VectorStoreSearchOptionalRequestParams,
     VectorStoreSearchResponse,
-    VectorStoreSearchResult,
 )
 
 if TYPE_CHECKING:
@@ -39,26 +30,45 @@ if TYPE_CHECKING:
 
 DEFAULT_EMBEDDING_FIELD_NAME: Final = "embedding"
 DEFAULT_TEXT_FIELD_NAME: Final = "text"
-SCORE_FIELD_NAME: Final = "score"
-
 DEFAULT_MAX_NUM_RESULTS: Final = 10
 MIN_MAX_NUM_RESULTS: Final = 1
 MAX_MAX_NUM_RESULTS: Final = 50
-
 NUM_CANDIDATES_MULTIPLIER: Final = 10
 MIN_NUM_CANDIDATES: Final = 100
 MAX_NUM_CANDIDATES: Final = 10_000
-
 MAX_QUERY_CHARACTERS: Final = 32_000
-
 _EMPTY_EMBEDDING_CONFIG: Final = MappingProxyType({})
-
 _SEARCH_ONLY_MESSAGE: Final = (
     "MongoDB vector store is search-only. Create the collection and its MongoDB Vector Search "
     "index in MongoDB directly, then register it here by index name."
 )
 
 
+def config_error(message: str) -> BadRequestError:
+    return BadRequestError(message=message, model=None, llm_provider="mongodb")
+
+
+class _Content(BaseModel):
+    model_config = ConfigDict(frozen=True, strict=True)
+    type: Literal["text"]
+    text: str
+
+
+class _Result(BaseModel):
+    model_config = ConfigDict(frozen=True, strict=True, allow_inf_nan=False)
+    score: float | None
+    content: list[_Content]
+    file_id: str | None
+    filename: str | None
+
+
+class _SearchResponse(BaseModel):
+    model_config = ConfigDict(frozen=True, strict=True)
+    object: Literal["vector_store.search_results.page"]
+    search_query: str
+    data: list[_Result]
+
+
 class _MongoDBSearchParams(BaseModel):
     """Typed view over the vector store's litellm_params; unrelated keys are ignored."""
 
@@ -66,7 +76,6 @@ class _MongoDBSearchParams(BaseModel):
 
     litellm_embedding_model: str | None = None
     litellm_embedding_config: Mapping[str, object] | None = None
-    mongodb_connection_string: str | None = None
     mongodb_database: str | None = None
     mongodb_collection: str | None = None
     mongodb_text_field: str | None = None
@@ -91,21 +100,6 @@ class _MongoDBSearchParams(BaseModel):
             )
         return self.litellm_embedding_model
 
-    def require_connection_string(self) -> str:
-        if not self.mongodb_connection_string:
-            raise config_error(
-                "mongodb_connection_string is required in litellm_params for the MongoDB vector store. "
-                "Example: mongodb+srv://<user>:<password>@<cluster>.mongodb.net for Atlas, or "
-                "mongodb://<user>:<password>@<host>:27017 for a self-managed deployment"
-            )
-        scheme: Final = self.mongodb_connection_string.split("://", 1)[0].lower()
-        if scheme not in ("mongodb", "mongodb+srv"):
-            raise config_error(
-                "mongodb_connection_string must start with 'mongodb://' or 'mongodb+srv://', "
-                f"got '{self.mongodb_connection_string.split('://', 1)[0]}://'"
-            )
-        return self.mongodb_connection_string
-
     def require_database(self) -> str:
         if not self.mongodb_database:
             raise config_error(
@@ -127,30 +121,28 @@ _MONGODB_PARAM_PREFIX: Final = "mongodb_"
 _KNOWN_MONGODB_PARAMS: Final = frozenset(
     name for name in _MongoDBSearchParams.model_fields if name.startswith(_MONGODB_PARAM_PREFIX)
 )
+_RESPONSE_ADAPTER: Final = TypeAdapter(VectorStoreSearchResponse)
 
 
-class MongoDBVectorStoreConfig(BaseDirectVectorStoreConfig):
-    def __init__(
-        self,
-        embedding_executor: VectorStoreEmbeddingExecutor | None = None,
-        sync_client_factory: Callable[[MongoClientKey], object] | None = None,
-        async_client_factory: Callable[[MongoClientKey], object] | None = None,
-    ) -> None:
-        super().__init__()
-        self.embedding_executor: Final[VectorStoreEmbeddingExecutor] = (
-            embedding_executor if embedding_executor is not None else LiteLLMVectorStoreEmbeddingExecutor()
-        )
-        self.sync_client_factory: Final[Callable[[MongoClientKey], object]] = (
-            sync_client_factory if sync_client_factory is not None else get_sync_client
-        )
-        self.async_client_factory: Final[Callable[[MongoClientKey], object]] = (
-            async_client_factory if async_client_factory is not None else get_async_client
-        )
+class MongoDBVectorStoreConfig(BaseQueryEmbeddingVectorStoreConfig):
+    def __init__(self, embedding_executor: VectorStoreEmbeddingExecutor | None = None) -> None:
+        self.embedding_executor: Final = embedding_executor or LiteLLMVectorStoreEmbeddingExecutor()
+
+    def get_auth_credentials(self, litellm_params: Mapping[str, object]) -> BaseVectorStoreAuthCredentials:
+        return BaseVectorStoreAuthCredentials()
+
+    def get_vector_store_endpoints_by_type(self) -> VectorStoreIndexEndpoints:
+        return VectorStoreIndexEndpoints(read=[], write=[])  # mutable-ok: the TypedDict declares list fields
 
     @staticmethod
     def _reject_unknown_params(litellm_params: Mapping[str, object]) -> None:
         """Without this a mistyped mongodb_collection reads as 'mongodb_collection is required',
         naming a key the reader can see they have set."""
+        if litellm_params.get("mongodb_connection_string") is not None:
+            raise config_error(
+                "MongoDB vector stores now use the BETA sidecar. Move mongodb_connection_string to "
+                "MONGODB_CONNECTION_STRING in the sidecar, remove it from LiteLLM, and configure api_base and api_key."
+            )
         unknown: Final = sorted(
             key for key in litellm_params if key.startswith(_MONGODB_PARAM_PREFIX) and key not in _KNOWN_MONGODB_PARAMS
         )
@@ -191,239 +183,182 @@ class MongoDBVectorStoreConfig(BaseDirectVectorStoreConfig):
             return configured
         return min(max(limit * NUM_CANDIDATES_MULTIPLIER, MIN_NUM_CANDIDATES), MAX_NUM_CANDIDATES)
 
-    @staticmethod
-    def _timeout_ms(timeout: float | httpx.Timeout | None) -> tuple[int, int]:
-        """The connect and socket budgets pymongo is built with, in that order."""
-        if isinstance(timeout, httpx.Timeout):
-            return (
-                int((timeout.connect or DEFAULT_CONNECT_TIMEOUT_MS / 1000) * 1000),
-                int((timeout.read or DEFAULT_SOCKET_TIMEOUT_MS / 1000) * 1000),
+    def validate_environment(
+        self, headers: dict[str, object], litellm_params: GenericLiteLLMParams | None
+    ) -> dict[str, object]:
+        if litellm_params is None:
+            raise config_error("Configure api_base and api_key for the MongoDB BETA sidecar.")
+        self._reject_unknown_params(dict(litellm_params))
+        api_key: Final = litellm_params.api_key or get_secret_str("MONGODB_SIDECAR_API_KEY")
+        if not api_key:
+            raise config_error("MongoDB sidecar api_key is required. Set api_key or MONGODB_SIDECAR_API_KEY.")
+        return {**headers, "Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
+
+    def get_complete_url(self, api_base: str | None, litellm_params: dict[str, object]) -> str:
+        if not api_base:
+            raise config_error("MongoDB sidecar api_base is required, for example http://mongodb-sidecar:8080.")
+        try:
+            parsed: Final = urlsplit(api_base)
+            valid: Final = parsed.scheme in ("http", "https") and bool(parsed.hostname) and parsed.port != 0
+        except ValueError:
+            raise config_error("MongoDB sidecar api_base must be a valid HTTP or HTTPS URL.") from None
+        if not valid or parsed.username or parsed.password or parsed.query or parsed.fragment:
+            raise config_error(
+                "MongoDB sidecar api_base must be an HTTP or HTTPS URL without credentials, query, or fragment."
             )
-        if timeout is None:
-            return DEFAULT_CONNECT_TIMEOUT_MS, DEFAULT_SOCKET_TIMEOUT_MS
-        return min(int(float(timeout) * 1000), DEFAULT_CONNECT_TIMEOUT_MS), int(float(timeout) * 1000)
+        return api_base.rstrip("/")
+
+    @staticmethod
+    def _timeout_ms(value: object) -> int:
+        seconds: Final = value.read if isinstance(value, httpx.Timeout) else value
+        if seconds is None:
+            return 30_000
+        if not isinstance(seconds, (int, float)) or not isfinite(seconds) or seconds <= 0:
+            raise config_error("MongoDB search timeout must be a positive finite number.")
+        return max(1, min(int(seconds * 1000), 30_000))
 
     @classmethod
-    def _client_key(cls, params: _MongoDBSearchParams, timeout: float | httpx.Timeout | None) -> MongoClientKey:
-        connect_ms, socket_ms = cls._timeout_ms(timeout)
-        return MongoClientKey(
-            connection_string=params.require_connection_string(),
-            connect_timeout_ms=connect_ms,
-            socket_timeout_ms=socket_ms,
-            server_selection_timeout_ms=min(connect_ms, DEFAULT_SERVER_SELECTION_TIMEOUT_MS),
-        )
+    def _params(
+        cls,
+        litellm_params: Mapping[str, object],
+        optional_params: VectorStoreSearchOptionalRequestParams,
+        extra_body: Mapping[str, object] | None,
+    ) -> _MongoDBSearchParams:
+        cls._reject_unknown_params(litellm_params)
+        if extra_body:
+            raise config_error("MongoDB vector store does not support extra_body overrides.")
+        for unsupported in ("filters", "ranking_options", "rewrite_query"):
+            if optional_params.get(unsupported) is not None:
+                raise config_error(f"MongoDB vector store does not support the {unsupported} parameter.")
+        try:
+            params: Final = _MongoDBSearchParams.model_validate(litellm_params)
+        except ValidationError:
+            raise config_error(
+                "Invalid MongoDB vector-store configuration. Check the database, collection, fields, and candidate count."
+            ) from None
+        params.require_database()
+        params.require_collection()
+        params.require_embedding_model()
+        cls._num_candidates(cls._limit(optional_params), params.mongodb_num_candidates)
+        cls._timeout_ms(litellm_params.get("timeout"))
+        return params
 
     @classmethod
-    def _pipeline(
+    def _request(
         cls,
         vector_store_id: str,
-        query_vector: Sequence[float],
+        query_text: str,
         params: _MongoDBSearchParams,
-        vector_store_search_optional_params: VectorStoreSearchOptionalRequestParams,
-    ) -> Sequence[Mapping[str, object]]:
-        if vector_store_search_optional_params.get("filters") is not None:
+        optional_params: VectorStoreSearchOptionalRequestParams,
+        api_base: str,
+        embedding_response: EmbeddingResponse,
+        timeout: object,
+    ) -> tuple[str, dict[str, object]]:
+        if not embedding_response.data:
             raise config_error(
-                "MongoDB vector store does not support the filters parameter yet. "
-                "Restrict the collection or the MongoDB Vector Search index definition instead."
+                "The embedding model returned no embedding for the search query. Check litellm_embedding_model."
             )
-        if vector_store_search_optional_params.get("ranking_options") is not None:
-            raise config_error(
-                "MongoDB vector store does not support the ranking_options parameter yet. "
-                "Every result already carries the vectorSearchScore, so filter or re-rank "
-                "on that rather than having the threshold silently ignored."
-            )
-        if vector_store_search_optional_params.get("rewrite_query") is not None:
-            raise config_error(
-                "MongoDB vector store does not support the rewrite_query parameter. The query is "
-                "embedded exactly as sent; rewrite it before calling if you need that."
-            )
-        limit: Final = cls._limit(vector_store_search_optional_params)
-        search: Final = MappingProxyType(
-            {
-                "index": vector_store_id,
-                "path": params.embedding_field,
-                "queryVector": tuple(query_vector),
-                "numCandidates": cls._num_candidates(limit, params.mongodb_num_candidates),
-                "limit": limit,
-            }
-        )
-        projection: Final = MappingProxyType(
-            {params.text_field: 1, SCORE_FIELD_NAME: MappingProxyType({"$meta": "vectorSearchScore"})}
-        )
-        return [  # mutable-ok: pymongo rejects any non-list pipeline in common.validate_list
-            MappingProxyType({"$vectorSearch": search}),
-            MappingProxyType({"$project": projection}),
-        ]
+        vector: Final = embedding_response.data[0]["embedding"]
+        if not vector or any(not isinstance(value, (float, int)) or not isfinite(value) for value in vector):
+            raise config_error("The embedding model must return a non-empty, finite query vector.")
+        limit: Final = cls._limit(optional_params)
+        return f"{api_base}/v1/vector_stores/{quote(vector_store_id, safe='')}/search", {
+            "query": query_text,
+            "query_vector": tuple(vector),
+            "mongodb_database": params.require_database(),
+            "mongodb_collection": params.require_collection(),
+            "mongodb_embedding_field": params.embedding_field,
+            "mongodb_text_field": params.text_field,
+            "mongodb_num_candidates": cls._num_candidates(limit, params.mongodb_num_candidates),
+            "max_num_results": limit,
+            "timeout_ms": cls._timeout_ms(timeout),
+        }
 
-    @classmethod
-    def _field_value(cls, document: Mapping[str, object], dotted_path: str) -> str | None:
-        """None means absent, which is what separates a mistyped field from genuinely empty text."""
-        head, _, rest = dotted_path.partition(".")
-        if head not in document:
-            return None
-        value: Final = document[head]
-        if not rest:
-            return None if value is None else str(value)
-        return cls._field_value(value, rest) if isinstance(value, Mapping) else None
-
-    @classmethod
-    def _to_result(cls, document: Mapping[str, object], text_field: str) -> VectorStoreSearchResult:
-        document_id: Final = document.get("_id")
-        identifier: Final = None if document_id is None else str(document_id)
-        content: Final = [  # mutable-ok: VectorStoreSearchResult declares a list of content parts
-            VectorStoreResultContent(text=cls._field_value(document, text_field) or "", type="text")
-        ]
-        raw_score: Final = document.get(SCORE_FIELD_NAME)
-        return VectorStoreSearchResult(
-            score=float(raw_score) if isinstance(raw_score, (int, float)) else None,
-            content=content,
-            file_id=identifier,
-            filename=identifier,
-        )
-
-    @classmethod
-    def _raise_for_missing_text_field(
-        cls, documents: Sequence[Mapping[str, object]], text_field: str, database: str, collection: str
-    ) -> None:
-        """$vectorSearch matches documents carrying no text, so a mistyped mongodb_text_field
-        returns well-scored results with empty content instead of failing."""
-        if documents and all(cls._field_value(document, text_field) is None for document in documents):
-            raise config_error(
-                f"None of the {len(documents)} matched documents in '{database}.{collection}' has a "
-                f"'{text_field}' field, so every result would carry empty text. Set mongodb_text_field "
-                "to the field holding the readable text; it accepts a dotted path such as metadata.body."
-            )
-
-    @classmethod
-    def _to_response(
-        cls, documents: Sequence[Mapping[str, object]], query_text: str, text_field: str
-    ) -> VectorStoreSearchResponse:
-        return VectorStoreSearchResponse(
-            object="vector_store.search_results.page",
-            search_query=query_text,
-            data=[  # mutable-ok: VectorStoreSearchResponse declares data as a list
-                cls._to_result(document, text_field) for document in documents
-            ],
-        )
-
-    @staticmethod
-    def _raise_for_unusable_index(
-        catalogue: Sequence[Mapping[str, object]], index_name: str, database: str, collection: str
-    ) -> None:
-        """mongod returns zero documents both for a query that matched nothing and for a missing
-        database, collection or index, so the catalogue decides which one happened."""
-        if not catalogue:
-            raise missing_index_error(index_name, database, collection)
-        entry: Final = catalogue[0]
-        if not entry.get("queryable"):
-            raise index_not_ready_error(index_name, database, collection, str(entry.get("status") or "unknown"))
-
-    @staticmethod
-    def _embedding_vector(embedding_response: EmbeddingResponse) -> Sequence[float]:
-        data: Final = embedding_response.data
-        if not data:
-            raise config_error(
-                "The embedding model returned no embedding for the search query, so there is nothing "
-                "to search MongoDB with. Check the embedding deployment named by litellm_embedding_model."
-            )
-        return data[0]["embedding"]
-
-    def execute_search_vector_store_request(
+    def transform_search_vector_store_request(
         self,
         vector_store_id: str,
         query: str | Sequence[str],
         vector_store_search_optional_params: VectorStoreSearchOptionalRequestParams,
+        api_base: str,
         litellm_logging_obj: "LiteLLMLoggingObj",
         litellm_params: Mapping[str, object],
+        extra_body: Mapping[str, object] | None = None,
         embedding_executor: VectorStoreEmbeddingExecutor | None = None,
-        timeout: float | httpx.Timeout | None = None,
-    ) -> VectorStoreSearchResponse:
-        self._reject_unknown_params(litellm_params)
-        params: Final = _MongoDBSearchParams.model_validate(litellm_params)
+    ) -> tuple[str, dict[str, object]]:
+        params: Final = self._params(litellm_params, vector_store_search_optional_params, extra_body)
         query_text: Final = self._query_text(query)
-        key: Final = self._client_key(params, timeout)
-        database: Final = params.require_database()
-        collection: Final = params.require_collection()
-
-        embedding_response: Final = (embedding_executor or self.embedding_executor).embed(
-            params.require_embedding_model(),
+        response: Final = (embedding_executor or self.embedding_executor).embed(
+            params.require_embedding_model(), query_text, params.litellm_embedding_config or _EMPTY_EMBEDDING_CONFIG
+        )
+        return self._request(
+            vector_store_id,
             query_text,
-            params.litellm_embedding_config or _EMPTY_EMBEDDING_CONFIG,
-        )
-        pipeline: Final = self._pipeline(
-            vector_store_id, self._embedding_vector(embedding_response), params, vector_store_search_optional_params
+            params,
+            vector_store_search_optional_params,
+            api_base,
+            response,
+            litellm_params.get("timeout"),
         )
 
-        try:
-            client: Final = self.sync_client_factory(key)
-            target: Final = client[database][collection]  # pyright: ignore[reportIndexIssue]  # factory is typed as returning object so injected doubles are accepted
-            documents: Final = tuple(target.aggregate(pipeline))
-        except Exception as e:
-            raise translate_mongo_error(e, index_name=vector_store_id, database=database, collection=collection) from e
-        if not documents:
-            try:
-                catalogue: Final = tuple(target.list_search_indexes(vector_store_id))
-            except Exception as e:
-                raise translate_mongo_error(
-                    e, index_name=vector_store_id, database=database, collection=collection
-                ) from e
-            self._raise_for_unusable_index(catalogue, vector_store_id, database, collection)
-        self._raise_for_missing_text_field(documents, params.text_field, database, collection)
-        return self._to_response(documents, query_text, params.text_field)
-
-    async def aexecute_search_vector_store_request(
+    async def atransform_search_vector_store_request(
         self,
         vector_store_id: str,
         query: str | Sequence[str],
         vector_store_search_optional_params: VectorStoreSearchOptionalRequestParams,
+        api_base: str,
         litellm_logging_obj: "LiteLLMLoggingObj",
         litellm_params: Mapping[str, object],
+        extra_body: Mapping[str, object] | None = None,
         embedding_executor: VectorStoreEmbeddingExecutor | None = None,
-        timeout: float | httpx.Timeout | None = None,
-    ) -> VectorStoreSearchResponse:
-        self._reject_unknown_params(litellm_params)
-        params: Final = _MongoDBSearchParams.model_validate(litellm_params)
+    ) -> tuple[str, dict[str, object]]:
+        params: Final = self._params(litellm_params, vector_store_search_optional_params, extra_body)
         query_text: Final = self._query_text(query)
-        key: Final = self._client_key(params, timeout)
-        database: Final = params.require_database()
-        collection: Final = params.require_collection()
-
-        embedding_response: Final = await (embedding_executor or self.embedding_executor).aembed(
-            params.require_embedding_model(),
+        response: Final = await (embedding_executor or self.embedding_executor).aembed(
+            params.require_embedding_model(), query_text, params.litellm_embedding_config or _EMPTY_EMBEDDING_CONFIG
+        )
+        return self._request(
+            vector_store_id,
             query_text,
-            params.litellm_embedding_config or _EMPTY_EMBEDDING_CONFIG,
-        )
-        pipeline: Final = self._pipeline(
-            vector_store_id, self._embedding_vector(embedding_response), params, vector_store_search_optional_params
+            params,
+            vector_store_search_optional_params,
+            api_base,
+            response,
+            litellm_params.get("timeout"),
         )
 
+    def transform_search_vector_store_response(
+        self, response: httpx.Response, litellm_logging_obj: "LiteLLMLoggingObj"
+    ) -> VectorStoreSearchResponse:
         try:
-            client: Final = self.async_client_factory(key)
-            target: Final = client[database][collection]  # pyright: ignore[reportIndexIssue]  # factory is typed as returning object so injected doubles are accepted
-            cursor: Final = await target.aggregate(pipeline)
-            documents: Final = [  # mutable-ok: an async comprehension cannot build a tuple directly
-                document async for document in cursor
-            ]
-        except Exception as e:
-            raise translate_mongo_error(e, index_name=vector_store_id, database=database, collection=collection) from e
-        if not documents:
-            try:
-                index_cursor: Final = await target.list_search_indexes(vector_store_id)
-                catalogue: Final = [  # mutable-ok: an async comprehension cannot build a tuple directly
-                    entry async for entry in index_cursor
-                ]
-            except Exception as e:
-                raise translate_mongo_error(
-                    e, index_name=vector_store_id, database=database, collection=collection
-                ) from e
-            self._raise_for_unusable_index(catalogue, vector_store_id, database, collection)
-        self._raise_for_missing_text_field(documents, params.text_field, database, collection)
-        return self._to_response(documents, query_text, params.text_field)
+            validated: Final = _SearchResponse.model_validate_json(response.content)
+            return _RESPONSE_ADAPTER.validate_python(validated.model_dump())
+        except ValidationError:
+            raise ServiceUnavailableError(
+                message="MongoDB sidecar returned an invalid search response. Check the sidecar version and deployment.",
+                model=None,
+                llm_provider="mongodb",
+            ) from None
+
+    def get_error_class(
+        self, error_message: str, status_code: int, headers: dict[str, object] | httpx.Headers
+    ) -> BaseLLMException:
+        if status_code == 400:
+            raise config_error(error_message)
+        if status_code == 401:
+            raise AuthenticationError(message="MongoDB sidecar rejected api_key.", model=None, llm_provider="mongodb")
+        if status_code == 408:
+            raise Timeout(message=error_message, model=None, llm_provider="mongodb")
+        raise ServiceUnavailableError(
+            message="MongoDB sidecar is unavailable. Check its address, health, and logs.",
+            model=None,
+            llm_provider="mongodb",
+        )
+
+    def validate_create_vector_store(self) -> NoReturn:
+        raise config_error(_SEARCH_ONLY_MESSAGE)
 
     def transform_create_vector_store_request(
-        self,
-        vector_store_create_optional_params: VectorStoreCreateOptionalRequestParams,
-        api_base: str,
+        self, vector_store_create_optional_params: VectorStoreCreateOptionalRequestParams, api_base: str
     ) -> NoReturn:
         raise config_error(_SEARCH_ONLY_MESSAGE)
 
diff --git a/pyproject.toml b/pyproject.toml
index af35c77d259..b7eecfb2109 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -114,7 +114,6 @@ caching = ["diskcache>=5.6.3,<6.0"]
 mcp = ["mcp>=1.28.1,<2.0"]
 # Driver for the MongoDB Atlas vector store; Atlas Vector Search has no HTTP query API.
 # The floor is 4.9 because that is the release AsyncMongoClient landed in.
-mongodb = ["pymongo>=4.9,<5.0"]
 # SAML SSO for the admin UI. python3-saml pulls in xmlsec/lxml, whose wheels
 # bundle the native libxmlsec1/libxml2 libraries, so no system packages are
 # required. Kept out of the base `proxy` extra so it stays optional.
diff --git a/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py b/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py
index f5d31c0da54..bca2b544673 100644
--- a/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py
+++ b/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py
@@ -1,1537 +1,182 @@
-import asyncio
-import gc
-import sys
-import threading
-import weakref
-from types import SimpleNamespace
-from unittest.mock import MagicMock, patch
+import json
+from collections.abc import Mapping
+from typing import Final
+from unittest.mock import MagicMock
 
 import httpx
 import pytest
 
 import litellm
-from litellm.exceptions import BadRequestError, ServiceUnavailableError, Timeout
-from litellm.llms.mongodb.common_utils import (
-    _MAX_CACHED_CLIENTS,
-    _async_clients,
-    _sync_clients,
-    MongoClientKey,
-    index_not_ready_error,
-    missing_index_error,
-    get_async_client,
-    get_sync_client,
-    reset_client_cache,
-    translate_mongo_error,
-)
-from litellm.llms.mongodb.vector_stores.transformation import (
-    MongoDBVectorStoreConfig,
-    _MongoDBSearchParams,
-)
-from litellm.types.utils import LlmProviders
-from litellm.utils import ProviderConfigManager
+from litellm.llms.custom_httpx.http_handler import HTTPHandler
+from litellm.llms.mongodb.vector_stores.transformation import MongoDBVectorStoreConfig
+from litellm.types.utils import EmbeddingResponse
+from litellm.types.vector_stores import VectorStoreSearchOptionalRequestParams
 
-CONNECTION_STRING = "mongodb+srv://user:pw@cluster.example.mongodb.net"
-INDEX = "movies_vector_index"
-
-BASE_PARAMS = {
-    "litellm_embedding_model": "openai/text-embedding-ada-002",
-    "mongodb_connection_string": CONNECTION_STRING,
-    "mongodb_database": "sample_mflix",
-    "mongodb_collection": "embedded_movies",
+BASE_PARAMS: Final = {
+    "api_base": "https://sidecar.example/prefix",
+    "api_key": "test-sidecar-key",
+    "litellm_embedding_model": "embedding-alias",
+    "mongodb_database": "policies",
+    "mongodb_collection": "documents",
+}
+RESULT: Final = {
+    "object": "vector_store.search_results.page",
+    "search_query": "travel policy",
+    "data": [
+        {"score": 0.9, "file_id": "123", "filename": "123", "content": [{"type": "text", "text": "Use code BLUE-42"}]}
+    ],
 }
 
 
-READY_INDEX = [{"name": INDEX, "status": "READY", "queryable": True}]
+class RecordingEmbeddingExecutor:
+    def __init__(self) -> None:
+        self.call: Final = MagicMock(return_value=EmbeddingResponse(data=[{"embedding": [0.1, 0.2, 0.3]}]))
+
+    def embed(self, model: str, query: str, configuration: Mapping[str, object]) -> EmbeddingResponse:
+        return self.call(model, query, configuration)
+
+    async def aembed(self, model: str, query: str, configuration: Mapping[str, object]) -> EmbeddingResponse:
+        return self.call(model, query, configuration)
 
 
-class RecordingClient:
-    """Stands in for pymongo's client class so the cache tests inject a fake rather than
-    patching the importer, and so they can assert what the client was actually built with."""
-
-    def __init__(self, connection_string, **kwargs):
-        self.connection_string = connection_string
-        self.kwargs = kwargs
-
-
-class FakeCollection:
-    def __init__(self, documents, error=None, search_indexes=None):
-        self.documents = documents
-        self.error = error
-        self.search_indexes = READY_INDEX if search_indexes is None else search_indexes
-        self.pipeline = None
-        self.listed_indexes = []
-
-    def aggregate(self, pipeline):
-        self.pipeline = pipeline
-        if self.error is not None:
-            raise self.error
-        return iter(self.documents)
-
-    def list_search_indexes(self, name):
-        self.listed_indexes.append(name)
-        return iter(self.search_indexes)
-
-
-class FakeAsyncCollection(FakeCollection):
-    async def aggregate(self, pipeline):
-        self.pipeline = pipeline
-        if self.error is not None:
-            raise self.error
-
-        async def cursor():
-            for document in self.documents:
-                yield document
-
-        return cursor()
-
-    async def list_search_indexes(self, name):
-        self.listed_indexes.append(name)
-
-        async def cursor():
-            for entry in self.search_indexes:
-                yield entry
-
-        return cursor()
-
-
-class FakeDatabase:
-    def __init__(self, collection):
-        self.collection = collection
-        self.requested_collection = None
-
-    def __getitem__(self, name):
-        self.requested_collection = name
-        return self.collection
-
-
-class FakeClient:
-    def __init__(self, collection):
-        self.database = FakeDatabase(collection)
-        self.requested_database = None
-
-    def __getitem__(self, name):
-        self.requested_database = name
-        return self.database
-
-
-class FakeEmbeddingExecutor:
-    def __init__(self, embedding):
-        self.embedding = embedding
-        self.captured = None
-
-    def _respond(self, model, query, configuration):
-        self.captured = SimpleNamespace(model=model, query=query, configuration=configuration)
-        return SimpleNamespace(data=[{"embedding": self.embedding}] if self.embedding is not None else [])
-
-    def embed(self, model, query, configuration):
-        return self._respond(model, query, configuration)
-
-    async def aembed(self, model, query, configuration):
-        return self._respond(model, query, configuration)
-
-
-def _config(documents=(), embedding=(0.1, 0.2, 0.3), error=None, search_indexes=None):
-    collection = FakeCollection(list(documents), error, search_indexes)
-    client = FakeClient(collection)
-    config = MongoDBVectorStoreConfig(
-        embedding_executor=FakeEmbeddingExecutor(list(embedding) if embedding is not None else None),
-        sync_client_factory=lambda key: client,
-    )
-    return config, client, collection
-
-
-def _async_config(documents=(), embedding=(0.1, 0.2, 0.3), error=None, search_indexes=None):
-    collection = FakeAsyncCollection(list(documents), error, search_indexes)
-    client = FakeClient(collection)
-    config = MongoDBVectorStoreConfig(
-        embedding_executor=FakeEmbeddingExecutor(list(embedding) if embedding is not None else None),
-        async_client_factory=lambda key: client,
-    )
-    return config, client, collection
-
-
-def _search(config, query="a lone astronaut", optional_params=None, litellm_params=None, timeout=None):
-    return config.execute_search_vector_store_request(
-        vector_store_id=INDEX,
-        query=query,
-        vector_store_search_optional_params=optional_params or {},
-        litellm_logging_obj=MagicMock(),
-        litellm_params={**BASE_PARAMS, **(litellm_params or {})},
-        timeout=timeout,
-    )
-
-
-async def _asearch(config, query="a lone astronaut", optional_params=None, litellm_params=None):
-    return await config.aexecute_search_vector_store_request(
-        vector_store_id=INDEX,
-        query=query,
-        vector_store_search_optional_params=optional_params or {},
-        litellm_logging_obj=MagicMock(),
-        litellm_params={**BASE_PARAMS, **(litellm_params or {})},
-    )
-
-
-def _stage(collection, name):
-    return next(stage[name] for stage in collection.pipeline if name in stage)
-
-
-def test_search_builds_vector_search_stage_against_the_named_index():
-    config, client, collection = _config()
-
-    _search(config, optional_params={"max_num_results": 5})
-
-    assert client.requested_database == "sample_mflix"
-    assert client.database.requested_collection == "embedded_movies"
-    assert _stage(collection, "$vectorSearch") == {
-        "index": INDEX,
-        "path": "embedding",
-        "queryVector": (0.1, 0.2, 0.3),
-        "numCandidates": 100,
-        "limit": 5,
+@pytest.mark.parametrize("asynchronous", [False, True])
+@pytest.mark.parametrize("limit,candidates", [(None, 100), (1, 100), (50, 500)])
+@pytest.mark.asyncio
+async def test_search_preserves_embedding_and_http_contract(
+    asynchronous: bool, limit: int | None, candidates: int
+) -> None:
+    executor: Final = RecordingEmbeddingExecutor()
+    config: Final = MongoDBVectorStoreConfig(executor)
+    params: Final = {
+        **BASE_PARAMS,
+        "mongodb_text_field": "metadata.body",
+        "mongodb_embedding_field": "stored_vector",
+        "litellm_embedding_config": {"dimensions": 3},
+        "timeout": 0.75,
     }
-
-
-def test_the_pipeline_reaches_pymongo_as_a_list():
-    """pymongo's common.validate_list rejects any other sequence with
-    'pipeline must be a list, not <class ...>', so the outer container is part of the contract."""
-    config, _, collection = _config()
-
-    _search(config)
-
-    assert isinstance(collection.pipeline, list)
-
-
-def test_search_projects_the_text_field_and_the_similarity_score():
-    config, _, collection = _config()
-
-    _search(config)
-
-    assert _stage(collection, "$project") == {"text": 1, "score": {"$meta": "vectorSearchScore"}}
-
-
-def test_search_defaults_to_ten_results():
-    config, _, collection = _config()
-
-    _search(config)
-
-    assert _stage(collection, "$vectorSearch")["limit"] == 10
-
-
-def test_search_honors_custom_field_names():
-    config, _, collection = _config()
-
-    _search(
-        config,
-        litellm_params={"mongodb_embedding_field": "plot_embedding", "mongodb_text_field": "plot"},
-    )
-
-    assert _stage(collection, "$vectorSearch")["path"] == "plot_embedding"
-    assert _stage(collection, "$project") == {"plot": 1, "score": {"$meta": "vectorSearchScore"}}
-
-
-def test_num_candidates_scales_with_the_requested_limit():
-    config, _, collection = _config()
-
-    _search(config, optional_params={"max_num_results": 40})
-
-    assert _stage(collection, "$vectorSearch")["numCandidates"] == 400
-
-
-def test_num_candidates_can_be_overridden():
-    config, _, collection = _config()
-
-    _search(config, optional_params={"max_num_results": 5}, litellm_params={"mongodb_num_candidates": 250})
-
-    assert _stage(collection, "$vectorSearch")["numCandidates"] == 250
-
-
-@pytest.mark.parametrize("configured", [4, 10_001])
-def test_num_candidates_below_the_limit_or_above_the_ceiling_is_rejected(configured):
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="mongodb_num_candidates"):
-        _search(config, optional_params={"max_num_results": 5}, litellm_params={"mongodb_num_candidates": configured})
-
-
-def test_list_query_is_joined_into_one_embedding_input():
-    config, _, _ = _config()
-
-    _search(config, query=["deep", "space", "rescue"])
-
-    assert config.embedding_executor.captured.query == "deep space rescue"
-
-
-def test_embedding_config_is_expanded_into_the_embedding_call():
-    config, _, _ = _config()
-
-    _search(config, litellm_params={"litellm_embedding_config": {"api_base": "https://example.test", "timeout": 7}})
-
-    captured = config.embedding_executor.captured
-    assert captured.configuration == {"api_base": "https://example.test", "timeout": 7}
-    assert captured.model == "openai/text-embedding-ada-002"
-
-
-def test_response_maps_documents_to_openai_shaped_results():
-    documents = [
-        {"_id": "abc123", "text": "an astronaut adrift", "score": 0.94},
-        {"_id": "def456", "text": "a robot dog", "score": 0.81},
-    ]
-    config, _, _ = _config(documents=documents)
-
-    response = _search(config)
-
-    assert response["object"] == "vector_store.search_results.page"
-    assert response["search_query"] == "a lone astronaut"
-    assert [result["score"] for result in response["data"]] == [0.94, 0.81]
-    assert [result["content"][0]["text"] for result in response["data"]] == ["an astronaut adrift", "a robot dog"]
-    assert [result["file_id"] for result in response["data"]] == ["abc123", "def456"]
-    assert [result["filename"] for result in response["data"]] == ["abc123", "def456"]
-    assert response["data"][0]["content"][0]["type"] == "text"
-
-
-def test_response_reads_a_dotted_text_field_path():
-    config, _, _ = _config(documents=[{"_id": 1, "metadata": {"body": "nested text"}, "score": 0.5}])
-
-    response = _search(config, litellm_params={"mongodb_text_field": "metadata.body"})
-
-    assert response["data"][0]["content"][0]["text"] == "nested text"
-
-
-def test_a_dotted_path_resolves_three_levels_deep():
-    config, _, _ = _config(documents=[{"_id": 1, "a": {"b": {"c": "deep text"}}, "score": 0.5}])
-
-    response = _search(config, litellm_params={"mongodb_text_field": "a.b.c"})
-
-    assert response["data"][0]["content"][0]["text"] == "deep text"
-
-
-def test_a_dotted_path_that_runs_through_a_scalar_counts_as_absent():
-    """Walking 'plot.nope' when plot is a string must report the misconfiguration, not
-    stringify the scalar and hand the model text from the wrong field."""
-    config, _, _ = _config(documents=[{"_id": 1, "plot": "a plain string", "score": 0.5}])
-
-    with pytest.raises(BadRequestError, match=r"has a 'plot\.nope' field"):
-        _search(config, litellm_params={"mongodb_text_field": "plot.nope"})
-
-
-def test_a_non_string_text_field_is_stringified():
-    config, _, _ = _config(documents=[{"_id": 1, "year": 1979, "score": 0.5}])
-
-    response = _search(config, litellm_params={"mongodb_text_field": "year"})
-
-    assert response["data"][0]["content"][0]["text"] == "1979"
-
-
-def test_a_null_text_field_counts_as_absent():
-    config, _, _ = _config(documents=[{"_id": 1, "text": None, "score": 0.5}])
-
-    with pytest.raises(BadRequestError, match="has a 'text' field"):
-        _search(config)
-
-
-def test_response_tolerates_a_sparse_document_missing_the_text_field():
-    config, _, _ = _config(documents=[{"_id": 1, "score": 0.5}, {"_id": 2, "text": "has text", "score": 0.4}])
-
-    response = _search(config)
-
-    assert response["data"][0]["content"][0]["text"] == ""
-    assert response["data"][1]["content"][0]["text"] == "has text"
-
-
-def test_a_present_but_empty_text_field_is_not_treated_as_a_misconfiguration():
-    config, _, _ = _config(documents=[{"_id": 1, "text": "", "score": 0.5}])
-
-    response = _search(config)
-
-    assert response["data"][0]["content"][0]["text"] == ""
-
-
-def test_matches_that_all_lack_the_text_field_name_the_setting_to_fix():
-    """Atlas matches on the vector, so a mistyped mongodb_text_field returns confidently
-    scored results whose content is empty and hands the model an empty context."""
-    config, _, _ = _config(documents=[{"_id": 1, "score": 0.9}, {"_id": 2, "score": 0.8}])
-
-    with pytest.raises(BadRequestError, match="mongodb_text_field"):
-        _search(config)
-
-
-def test_response_tolerates_a_document_missing_a_score():
-    config, _, _ = _config(documents=[{"_id": 1, "text": "no score"}])
-
-    response = _search(config)
-
-    assert response["data"][0]["score"] is None
-
-
-def test_response_stringifies_a_non_string_document_id():
-    config, _, _ = _config(documents=[{"_id": 12345, "text": "numeric id", "score": 0.5}])
-
-    response = _search(config)
-
-    assert response["data"][0]["file_id"] == "12345"
-
-
-def test_search_requires_an_embedding_model():
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="litellm_embedding_model is required"):
-        config.execute_search_vector_store_request(
-            vector_store_id=INDEX,
-            query="q",
-            vector_store_search_optional_params={},
+    kwargs: Final = {
+        "vector_store_id": "exact index",
+        "query": ["travel", "policy"],
+        "vector_store_search_optional_params": {"max_num_results": limit},
+        "api_base": BASE_PARAMS["api_base"],
+        "litellm_logging_obj": MagicMock(),
+        "litellm_params": params,
+    }
+    if asynchronous:
+        url, body = await config.atransform_search_vector_store_request(**kwargs)
+    else:
+        url, body = config.transform_search_vector_store_request(**kwargs)
+    assert url == "https://sidecar.example/prefix/v1/vector_stores/exact%20index/search"
+    assert body == {
+        "query": "travel policy",
+        "query_vector": (0.1, 0.2, 0.3),
+        "mongodb_database": "policies",
+        "mongodb_collection": "documents",
+        "mongodb_text_field": "metadata.body",
+        "mongodb_embedding_field": "stored_vector",
+        "mongodb_num_candidates": candidates,
+        "max_num_results": limit or 10,
+        "timeout_ms": 750,
+    }
+    executor.call.assert_called_once_with("embedding-alias", "travel policy", {"dimensions": 3})
+    assert config.transform_search_vector_store_response(httpx.Response(200, json=RESULT), MagicMock()) == RESULT
+
+
+@pytest.mark.parametrize(
+    "query,overrides,options",
+    [
+        ("", {}, {}),
+        ("  ", {}, {}),
+        ("x" * 32_001, {}, {}),
+        ("travel", {"litellm_embedding_model": None}, {}),
+        ("travel", {"mongodb_database": None}, {}),
+        ("travel", {"mongodb_collection": None}, {}),
+        ("travel", {"mongodb_connection_string": "mongodb://obsolete-secret"}, {}),
+        ("travel", {"mongodb_filter": {"private": True}}, {}),
+        ("travel", {"mongodb_num_candidates": 9}, {}),
+        ("travel", {"mongodb_num_candidates": 10_001}, {}),
+        ("travel", {}, {"max_num_results": 0}),
+        ("travel", {}, {"max_num_results": 51}),
+        ("travel", {}, {"filters": {}}),
+        ("travel", {}, {"ranking_options": {}}),
+        ("travel", {}, {"rewrite_query": False}),
+    ],
+)
+def test_invalid_search_is_rejected_before_embedding(
+    query: str, overrides: Mapping[str, object], options: VectorStoreSearchOptionalRequestParams
+) -> None:
+    executor: Final = RecordingEmbeddingExecutor()
+    config: Final = MongoDBVectorStoreConfig(executor)
+    with pytest.raises(litellm.BadRequestError) as error:
+        config.transform_search_vector_store_request(
+            vector_store_id="policy_index",
+            query=query,
+            vector_store_search_optional_params=options,
+            api_base=BASE_PARAMS["api_base"],
             litellm_logging_obj=MagicMock(),
-            litellm_params={k: v for k, v in BASE_PARAMS.items() if k != "litellm_embedding_model"},
+            litellm_params={**BASE_PARAMS, **overrides},
         )
-
-
-def test_missing_embedding_model_message_names_the_field_being_searched():
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match=r"embedded_movies\.embedding"):
-        config.execute_search_vector_store_request(
-            vector_store_id=INDEX,
-            query="q",
-            vector_store_search_optional_params={},
-            litellm_logging_obj=MagicMock(),
-            litellm_params={k: v for k, v in BASE_PARAMS.items() if k != "litellm_embedding_model"},
-        )
-
-
-def test_search_requires_a_connection_string():
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="mongodb_connection_string is required"):
-        _search(config, litellm_params={"mongodb_connection_string": None})
-
-
-@pytest.mark.parametrize("connection_string", ["postgres://host/db", "https://cluster.mongodb.net", "redis://host"])
-def test_search_rejects_a_non_mongodb_connection_scheme(connection_string):
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="must start with 'mongodb://' or 'mongodb\\+srv://'"):
-        _search(config, litellm_params={"mongodb_connection_string": connection_string})
-
-
-def test_search_accepts_the_plain_mongodb_scheme():
-    config, _, collection = _config()
-
-    _search(config, litellm_params={"mongodb_connection_string": "mongodb://localhost:27017"})
-
-    assert collection.pipeline is not None
-
-
-def test_search_requires_a_database():
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="mongodb_database is required"):
-        _search(config, litellm_params={"mongodb_database": None})
-
-
-def test_search_requires_a_collection():
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="mongodb_collection is required"):
-        _search(config, litellm_params={"mongodb_collection": None})
-
-
-def test_search_rejects_filters_rather_than_silently_ignoring_them():
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="does not support the filters parameter"):
-        _search(config, optional_params={"filters": {"genre": "sci-fi"}})
-
-
-@pytest.mark.asyncio
-async def test_async_search_rejects_filters_rather_than_silently_ignoring_them():
-    config, _, _ = _async_config()
-
-    with pytest.raises(BadRequestError, match="does not support the filters parameter"):
-        await _asearch(config, optional_params={"filters": {"genre": "sci-fi"}})
-
-
-def test_search_rejects_ranking_options_rather_than_silently_ignoring_them():
-    """A score_threshold that is quietly dropped is worse than an error: the caller asked for
-    results above 0.9, gets results scoring 0.5, and nothing says the threshold never ran."""
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="does not support the ranking_options parameter"):
-        _search(config, optional_params={"ranking_options": {"score_threshold": 0.9}})
-
-
-def test_search_rejects_rewrite_query_rather_than_silently_ignoring_it():
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="does not support the rewrite_query parameter"):
-        _search(config, optional_params={"rewrite_query": True})
-
-
-@pytest.mark.asyncio
-async def test_async_search_rejects_ranking_options_rather_than_silently_ignoring_them():
-    config, _, _ = _async_config()
-
-    with pytest.raises(BadRequestError, match="does not support the ranking_options parameter"):
-        await _asearch(config, optional_params={"ranking_options": {"score_threshold": 0.9}})
-
-
-@pytest.mark.parametrize("query", ["", "   ", "\n\t", []])
-def test_search_rejects_an_empty_query(query):
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="query must not be empty"):
-        _search(config, query=query)
-
-
-def test_search_rejects_an_oversized_query():
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="at most 32000 characters"):
-        _search(config, query="x" * 32_001)
-
-
-def test_search_accepts_a_query_at_the_size_ceiling():
-    config, _, collection = _config()
-
-    _search(config, query="x" * 32_000)
-
-    assert collection.pipeline is not None
-
-
-@pytest.mark.parametrize("max_num_results", [0, -1, 51, 1000])
-def test_search_rejects_out_of_range_max_num_results(max_num_results):
-    config, _, _ = _config()
-
-    with pytest.raises(BadRequestError, match="max_num_results must be between 1 and 50"):
-        _search(config, optional_params={"max_num_results": max_num_results})
-
-
-@pytest.mark.parametrize("max_num_results", [1, 50])
-def test_search_allows_max_num_results_at_the_bounds(max_num_results):
-    config, _, collection = _config()
-
-    _search(config, optional_params={"max_num_results": max_num_results})
-
-    assert _stage(collection, "$vectorSearch")["limit"] == max_num_results
-
-
-def test_search_treats_an_explicit_null_max_num_results_as_the_default():
-    config, _, collection = _config()
-
-    _search(config, optional_params={"max_num_results": None})
-
-    assert _stage(collection, "$vectorSearch")["limit"] == 10
-
-
-def test_search_fails_when_the_embedding_model_returns_nothing():
-    config, _, _ = _config(embedding=None)
-
-    with pytest.raises(BadRequestError, match="returned no embedding"):
-        _search(config)
-
-
-def test_validation_runs_before_any_connection_is_opened():
-    opened = []
-    config = MongoDBVectorStoreConfig(
-        embedding_executor=FakeEmbeddingExecutor([0.1]),
-        sync_client_factory=lambda key: opened.append(key) or FakeClient(FakeCollection([])),
-    )
-
-    with pytest.raises(BadRequestError, match="query must not be empty"):
-        _search(config, query="")
-
-    assert opened == []
-
-
-def test_create_vector_store_is_not_supported_and_says_why():
-    """litellm.exception_type only passes its own exception types through untouched, so a
-    NotImplementedError here reaches the caller as APIConnectionError, which the proxy serves
-    as a 500 with a traceback. Refusing an unsupported operation is a client error."""
-    config = MongoDBVectorStoreConfig()
-
-    with pytest.raises(BadRequestError, match="search-only"):
-        config.transform_create_vector_store_request({}, "https://example.test")
-
-    with pytest.raises(BadRequestError, match="search-only"):
-        config.transform_create_vector_store_response(httpx.Response(200))
-
-
-def test_the_create_refusal_survives_the_public_sdk_error_wrapper():
-    import litellm
-
-    with pytest.raises(BadRequestError) as raised:
-        litellm.vector_stores.create(custom_llm_provider="mongodb", name="anything")
-
-    assert "search-only" in str(raised.value)
-
-
-def test_provider_config_manager_returns_the_mongodb_config():
-    config = ProviderConfigManager.get_provider_vector_stores_config(LlmProviders.MONGODB)
-
-    assert isinstance(config, MongoDBVectorStoreConfig)
-
-
-@pytest.mark.asyncio
-async def test_async_search_builds_the_same_pipeline_and_maps_the_response():
-    documents = [{"_id": "abc123", "text": "an astronaut adrift", "score": 0.94}]
-    config, client, collection = _async_config(documents=documents)
-
-    response = await _asearch(config, optional_params={"max_num_results": 3})
-
-    assert client.requested_database == "sample_mflix"
-    assert client.database.requested_collection == "embedded_movies"
-    assert _stage(collection, "$vectorSearch")["limit"] == 3
-    assert _stage(collection, "$vectorSearch")["queryVector"] == (0.1, 0.2, 0.3)
-    assert response["data"][0]["content"][0]["text"] == "an astronaut adrift"
-    assert response["data"][0]["score"] == 0.94
-
-
-@pytest.mark.asyncio
-async def test_async_search_requires_an_embedding_model():
-    config, _, _ = _async_config()
-
-    with pytest.raises(BadRequestError, match="litellm_embedding_model is required"):
-        await config.aexecute_search_vector_store_request(
-            vector_store_id=INDEX,
-            query="q",
-            vector_store_search_optional_params={},
-            litellm_logging_obj=MagicMock(),
-            litellm_params={k: v for k, v in BASE_PARAMS.items() if k != "litellm_embedding_model"},
-        )
-
-
-class TestClientCache:
-    def setup_method(self):
-        reset_client_cache()
-
-    def teardown_method(self):
-        reset_client_cache()
-
-    def _key(self, connection_string=CONNECTION_STRING, socket_timeout_ms=30_000):
-        return MongoClientKey(
-            connection_string=connection_string,
-            connect_timeout_ms=10_000,
-            socket_timeout_ms=socket_timeout_ms,
-            server_selection_timeout_ms=10_000,
-        )
-
-    def test_the_same_connection_reuses_one_client(self):
-        first = get_sync_client(self._key(), RecordingClient)
-        second = get_sync_client(self._key(), RecordingClient)
-
-        assert first is second
-        assert first.connection_string == CONNECTION_STRING
-        assert first.kwargs["socketTimeoutMS"] == 30_000
-        assert first.kwargs["connectTimeoutMS"] == 10_000
-        assert first.kwargs["appname"] == "litellm"
-
-    def test_a_different_connection_gets_its_own_client(self):
-        first = get_sync_client(self._key(), RecordingClient)
-        second = get_sync_client(self._key(connection_string="mongodb://other.example.test"), RecordingClient)
-
-        assert first is not second
-        assert second.connection_string == "mongodb://other.example.test"
-
-    def test_a_different_timeout_gets_its_own_client(self):
-        first = get_sync_client(self._key(), RecordingClient)
-        second = get_sync_client(self._key(socket_timeout_ms=5_000), RecordingClient)
-
-        assert first is not second
-        assert second.kwargs["socketTimeoutMS"] == 5_000
-
-    @pytest.mark.asyncio
-    async def test_async_clients_are_cached_per_event_loop(self):
-        first = get_async_client(self._key(), RecordingClient)
-        second = get_async_client(self._key(), RecordingClient)
-
-        assert first is second
-        assert first.connection_string == CONNECTION_STRING
-
-
-    def _fill_cache(self):
-        for slot in range(_MAX_CACHED_CLIENTS):
-            get_sync_client(self._key(f"mongodb://cold-{slot}:27017"), RecordingClient)
-
-    def test_a_store_added_after_the_cache_filled_is_still_cached(self):
-        """Rebuilding a client costs an SRV lookup, a TLS handshake and topology discovery, so a
-        store that misses the cache on every single search pays that on every search."""
-        self._fill_cache()
-        latecomer = self._key("mongodb://latecomer:27017")
-
-        first = get_sync_client(latecomer, RecordingClient)
-
-        assert get_sync_client(latecomer, RecordingClient) is first
-
-    def test_the_cache_evicts_the_least_recently_used_client(self):
-        self._fill_cache()
-        oldest = self._key("mongodb://cold-0:27017")
-        newest = self._key(f"mongodb://cold-{_MAX_CACHED_CLIENTS - 1}:27017")
-        kept = get_sync_client(newest, RecordingClient)
-
-        get_sync_client(self._key("mongodb://latecomer:27017"), RecordingClient)
-
-        assert get_sync_client(newest, RecordingClient) is kept
-        assert oldest not in _sync_clients
-
-    def test_concurrent_searches_never_trip_over_an_eviction(self):
-        """Async searches run the sync client through executor threads, so a key can be evicted
-        between the lookup and the reordering that follows it."""
-        errors = []
-        churn = _MAX_CACHED_CLIENTS + 2
-
-        def hammer(offset):
-            try:
-                for step in range(3_000):
-                    get_sync_client(self._key(f"mongodb://h-{(step + offset) % churn}:27017"), RecordingClient)
-            except Exception as e:
-                errors.append(repr(e))
-
-        previous = sys.getswitchinterval()
-        sys.setswitchinterval(1e-9)
-        try:
-            threads = [threading.Thread(target=hammer, args=(offset,)) for offset in range(16)]
-            for thread in threads:
-                thread.start()
-            for thread in threads:
-                thread.join()
-        finally:
-            sys.setswitchinterval(previous)
-
-        assert errors == []
-
-    def test_the_cache_never_grows_past_its_cap(self):
-        for slot in range(_MAX_CACHED_CLIENTS * 3):
-            get_sync_client(self._key(f"mongodb://host-{slot}:27017"), RecordingClient)
-
-        assert len(_sync_clients) == _MAX_CACHED_CLIENTS
-
-    def test_a_new_loop_never_inherits_a_closed_loop_client(self):
-        """CPython recycles id() so aggressively that a fresh event loop almost always lands on
-        the id of one already collected: measured at 37 of 40 rounds. Keying the cache on the id
-        alone therefore hands the new loop an AsyncMongoClient bound to a closed loop, and every
-        operation on it raises "Event loop is closed"."""
-
-        class LoopAgnosticClient:
-            """Holds no reference to the loop, unlike pymongo's, whose own reference happens to
-            keep ids from being recycled and hides the bug until the cache fills."""
-
-            def __init__(self, *args, **kwargs):
-                self.built_on = None
-
-        key = self._key()
-        clients_handed_out = []
-
-        async def fetch():
-            return get_async_client(key, LoopAgnosticClient)
-
-        for _ in range(20):
-            loop = asyncio.new_event_loop()
-            client = loop.run_until_complete(fetch())
-            clients_handed_out.append((client, client.built_on, loop.is_closed()))
-            client.built_on = weakref.ref(loop)
-            loop.close()
-            del loop
-            gc.collect()
-
-        stale = [
-            handed_out
-            for client, built_on, _ in clients_handed_out
-            if built_on is not None and (built_on() is None or built_on().is_closed())
-            for handed_out in (client,)
-        ]
-        assert stale == [], f"{len(stale)} of 20 loops were handed a client built on a closed loop"
-
-    def test_the_cache_releases_clients_built_on_closed_loops(self):
-        """pymongo's AsyncMongoClient keeps a reference to the loop it was built on, so an entry
-        for a closed loop holds that client, and its sockets, for the life of the process. A
-        script calling asyncio.run per search fills the cache to its cap that way: measured live
-        against Atlas at 32 pinned clients and 212 open descriptors after 40 loops."""
-
-        class LoopHoldingClient:
-            def __init__(self, *args, **kwargs):
-                self.loop = asyncio.get_running_loop()
-
-        key = self._key()
-
-        async def fetch():
-            return get_async_client(key, LoopHoldingClient)
-
-        for _ in range(_MAX_CACHED_CLIENTS + 8):
-            loop = asyncio.new_event_loop()
-            loop.run_until_complete(fetch())
-            loop.close()
-
-        assert len(_async_clients) == 1, f"{len(_async_clients)} closed-loop clients are still cached"
-
-
-class TestClientKeyDerivation:
-    def test_no_timeout_uses_the_bounded_defaults(self):
-        key = MongoDBVectorStoreConfig._client_key(_MongoDBSearchParams.model_validate(BASE_PARAMS), None)
-
-        assert key.connect_timeout_ms == 10_000
-        assert key.socket_timeout_ms == 30_000
-        assert key.server_selection_timeout_ms == 10_000
-
-    def test_a_numeric_timeout_bounds_the_connect_phase(self):
-        key = MongoDBVectorStoreConfig._client_key(_MongoDBSearchParams.model_validate(BASE_PARAMS), 3.0)
-
-        assert key.socket_timeout_ms == 3_000
-        assert key.connect_timeout_ms == 3_000
-
-    def test_a_short_timeout_also_shortens_server_selection(self):
-        """Server selection runs before the connect attempt, so leaving it at the 10s default
-        would let a caller asking for a 3s budget block for 10s before anything is tried."""
-        key = MongoDBVectorStoreConfig._client_key(_MongoDBSearchParams.model_validate(BASE_PARAMS), 3.0)
-
-        assert key.server_selection_timeout_ms == 3_000
-
-    def test_a_generous_timeout_does_not_raise_server_selection_above_the_default(self):
-        key = MongoDBVectorStoreConfig._client_key(_MongoDBSearchParams.model_validate(BASE_PARAMS), 120.0)
-
-        assert key.socket_timeout_ms == 120_000
-        assert key.server_selection_timeout_ms == 10_000
-
-    def test_an_httpx_timeout_maps_connect_and_read_separately(self):
-        key = MongoDBVectorStoreConfig._client_key(
-            _MongoDBSearchParams.model_validate(BASE_PARAMS), httpx.Timeout(connect=2.0, read=45.0, write=5.0, pool=5.0)
-        )
-
-        assert key.connect_timeout_ms == 2_000
-        assert key.socket_timeout_ms == 45_000
-
-
-class TestErrorTranslation:
-    def _translate(self, error):
-        return translate_mongo_error(error, index_name=INDEX, database="sample_mflix", collection="embedded_movies")
-
-    def test_server_selection_timeout_points_at_the_atlas_access_list(self):
-        from pymongo.errors import ServerSelectionTimeoutError
-
-        translated = self._translate(ServerSelectionTimeoutError("no servers"))
-
-        assert "IP access list" in str(translated)
-        assert "paused cluster" in str(translated)
-
-    def test_authentication_failure_points_at_the_connection_string_credentials(self):
-        from pymongo.errors import OperationFailure
-
-        translated = self._translate(OperationFailure("auth failed", code=18))
-
-        assert "rejected the credentials" in str(translated)
-
-    def test_a_dropped_connection_stays_retryable(self):
-        """A replica set failover reaches the driver as AutoReconnect. litellm only retries 408,
-        409, 429 and 5xx, so classifying it as a client error would turn one failover into a
-        permanently failed search."""
-        from pymongo.errors import AutoReconnect
-
-        translated = self._translate(AutoReconnect("connection closed"))
-
-        assert litellm._should_retry(translated.status_code)
-        assert "dropped or refused" in str(translated)
-
-    def test_a_dropped_connection_still_names_the_misconfigurations_behind_it(self):
-        """Atlas answers a URI with no credentials by closing the connection rather than failing
-        auth, so the retryable message still has to name that."""
-        from pymongo.errors import AutoReconnect
-
-        translated = self._translate(AutoReconnect("connection closed"))
-
-        assert "no username and password" in str(translated)
-        assert "mongod is listening" in str(translated)
-
-    def test_the_retryable_classification_survives_the_public_sdk_error_wrapper(self):
-        """litellm.exception_type only passes its own exception types through; anything else becomes
-        an APIConnectionError and a 500, which would drop the retryable classification."""
-        from pymongo.errors import AutoReconnect
-
-        translated = self._translate(AutoReconnect("connection closed"))
-
-        wrapped = litellm.exception_type(
-            model=None,
-            original_exception=translated,
-            custom_llm_provider="mongodb",
-            completion_kwargs={},
-            extra_kwargs={},
-        )
-
-        assert isinstance(wrapped, ServiceUnavailableError)
-        assert litellm._should_retry(wrapped.status_code)
-
-    def test_a_pool_wait_queue_timeout_stays_retryable(self):
-        from pymongo.errors import WaitQueueTimeoutError
-
-        translated = self._translate(WaitQueueTimeoutError("timed out waiting for a connection"))
-
-        assert litellm._should_retry(translated.status_code)
-
-    def test_server_selection_timeout_still_wins_over_the_connection_branch(self):
-        from pymongo.errors import ServerSelectionTimeoutError
-
-        translated = self._translate(ServerSelectionTimeoutError("no servers"))
-
-        assert isinstance(translated, Timeout)
-        assert "dropped or refused" not in str(translated)
-
-    def test_network_timeout_still_wins_over_the_connection_branch(self):
-        from pymongo.errors import NetworkTimeout
-
-        translated = self._translate(NetworkTimeout("socket timed out"))
-
-        assert isinstance(translated, Timeout)
-        assert "dropped or refused" not in str(translated)
-
-    def test_an_unescaped_password_character_is_a_400_not_a_500(self):
-        """pymongo's URI parser raises a plain ValueError, not a PyMongoError, for an unusable port,
-        which is also what an unescaped ':' in a password produces. It must not be a 500."""
-        translated = self._translate(ValueError("Port contains non-digit characters"))
-
-        assert isinstance(translated, BadRequestError)
-        assert "percent-encoded" in str(translated)
-
-    def test_unauthorized_points_at_the_database_user_permissions(self):
-        from pymongo.errors import OperationFailure
-
-        translated = self._translate(OperationFailure("not authorized", code=13))
-
-        assert "sample_mflix.embedded_movies" in str(translated)
-
-    def test_code_13_alone_is_enough_without_a_recognisable_message(self):
-        """The other unauthorized case carries "not authorized", which the message markers also
-        match, so it cannot tell whether the code is still being checked at all."""
-        from pymongo.errors import OperationFailure
-
-        translated = self._translate(OperationFailure("user lacks privileges on this namespace", code=13))
-
-        assert "rejected the credentials" in str(translated)
-        assert "sample_mflix.embedded_movies" in str(translated)
-
-    def test_a_missing_index_names_the_index_and_the_collection(self):
-        from pymongo.errors import OperationFailure
-
-        translated = self._translate(OperationFailure("Index not found for name movies_vector_index", code=27))
-
-        assert INDEX in str(translated)
-        assert "READY" in str(translated)
-
-    def test_a_dimension_mismatch_points_at_the_embedding_model(self):
-        from pymongo.errors import OperationFailure
-
-        translated = self._translate(OperationFailure("queryVector has 1536 dimensions, index expects 2048"))
-
-        assert "litellm_embedding_model must be the same model" in str(translated)
-
-    def test_an_unrecognised_operation_failure_still_names_the_target(self):
-        from pymongo.errors import OperationFailure
-
-        translated = self._translate(OperationFailure("something else entirely"))
-
-        assert "sample_mflix.embedded_movies" in str(translated)
-        assert INDEX in str(translated)
-
-    def test_a_configuration_error_points_at_the_connection_string(self):
-        from pymongo.errors import ConfigurationError
-
-        translated = self._translate(ConfigurationError("bad uri"))
-
-        assert "not a usable MongoDB connection string" in str(translated)
-
-    def test_a_non_driver_error_is_returned_unchanged(self):
-        original = RuntimeError("unrelated")
-
-        assert self._translate(original) is original
-
-    def test_search_surfaces_a_translated_driver_error(self):
-        from pymongo.errors import ServerSelectionTimeoutError
-
-        config, _, _ = _config(error=ServerSelectionTimeoutError("no servers"))
-
-        with pytest.raises(Timeout, match="IP access list"):
-            _search(config)
-
-    @pytest.mark.asyncio
-    async def test_async_search_surfaces_a_translated_driver_error(self):
-        from pymongo.errors import OperationFailure
-
-        config, _, _ = _async_config(error=OperationFailure("auth failed", code=18))
-
-        with pytest.raises(BadRequestError, match="rejected the credentials"):
-            await _asearch(config)
-
-
-class TestMissingDriver:
-    def test_the_sync_import_names_the_extra_to_install(self):
-        from litellm.llms.mongodb.common_utils import import_sync_mongo_client
-
-        with patch.dict(sys.modules, {"pymongo": None}):
-            with pytest.raises(BadRequestError, match=r"pip install litellm\[mongodb\]"):
-                import_sync_mongo_client()
-
-    def test_the_async_import_names_the_extra_to_install(self):
-        from litellm.llms.mongodb.common_utils import import_async_mongo_client
-
-        with patch.dict(sys.modules, {"pymongo": None}):
-            with pytest.raises(BadRequestError, match=r"pip install litellm\[mongodb\]"):
-                import_async_mongo_client()
-
-    def test_error_translation_degrades_gracefully_without_the_driver(self):
-        original = RuntimeError("boom")
-
-        with patch.dict(sys.modules, {"pymongo.errors": None}):
-            assert translate_mongo_error(original, INDEX, "db", "col") is original
-
-
-class TestEmptyResultsAreDisambiguated:
-    """$vectorSearch returns zero documents for a missing database, collection or index just as it
-    does for a query that matched nothing, so an empty result set is checked against the index
-    catalogue before it is reported as 'no matches'."""
-
-    def test_a_missing_index_becomes_an_error_rather_than_an_empty_page(self):
-        config, _, collection = _config(documents=[], search_indexes=[])
-
-        with pytest.raises(BadRequestError, match="No queryable MongoDB Vector Search index"):
-            _search(config)
-
-        assert collection.listed_indexes == [INDEX]
-
-    def test_the_missing_index_error_explains_why_mongodb_reported_no_results(self):
-        config, _, _ = _config(documents=[], search_indexes=[])
-
-        with pytest.raises(BadRequestError, match="returns no results rather than an error"):
-            _search(config)
-
-    def test_an_index_still_building_becomes_an_error_naming_its_status(self):
-        config, _, _ = _config(
-            documents=[], search_indexes=[{"name": INDEX, "status": "PENDING", "queryable": False}]
-        )
-
-        with pytest.raises(BadRequestError, match="not queryable yet; its status is PENDING"):
-            _search(config)
-
-    def test_a_genuine_no_match_against_a_ready_index_returns_an_empty_page(self):
-        config, _, collection = _config(documents=[])
-
-        response = _search(config)
-
-        assert response["data"] == []
-        assert response["object"] == "vector_store.search_results.page"
-        assert collection.listed_indexes == [INDEX]
-
-    def test_the_catalogue_is_not_consulted_when_the_search_returned_hits(self):
-        config, _, collection = _config(documents=[{"_id": 1, "text": "hit", "score": 0.9}])
-
-        _search(config)
-
-        assert collection.listed_indexes == []
-
-    @pytest.mark.asyncio
-    async def test_async_missing_index_becomes_an_error_rather_than_an_empty_page(self):
-        config, _, collection = _async_config(documents=[], search_indexes=[])
-
-        with pytest.raises(BadRequestError, match="No queryable MongoDB Vector Search index"):
-            await _asearch(config)
-
-        assert collection.listed_indexes == [INDEX]
-
-    @pytest.mark.asyncio
-    async def test_async_index_still_building_becomes_an_error_naming_its_status(self):
-        config, _, _ = _async_config(
-            documents=[], search_indexes=[{"name": INDEX, "status": "PENDING", "queryable": False}]
-        )
-
-        with pytest.raises(BadRequestError, match="not queryable yet; its status is PENDING"):
-            await _asearch(config)
-
-    @pytest.mark.asyncio
-    async def test_async_genuine_no_match_returns_an_empty_page(self):
-        config, _, _ = _async_config(documents=[])
-
-        response = await _asearch(config)
-
-        assert response["data"] == []
-
-    @pytest.mark.asyncio
-    async def test_async_catalogue_is_not_consulted_when_the_search_returned_hits(self):
-        config, _, collection = _async_config(documents=[{"_id": 1, "text": "hit", "score": 0.9}])
-
-        await _asearch(config)
-
-        assert collection.listed_indexes == []
-
-    def test_a_failure_while_checking_the_catalogue_is_translated_too(self):
-        from pymongo.errors import OperationFailure
-
-        class ExplodingCollection(FakeCollection):
-            def list_search_indexes(self, name):
-                raise OperationFailure("not authorized", code=13)
-
-        collection = ExplodingCollection([], None, [])
-        config = MongoDBVectorStoreConfig(
-            embedding_executor=FakeEmbeddingExecutor([0.1]),
-            sync_client_factory=lambda key: FakeClient(collection),
-        )
-
-        with pytest.raises(BadRequestError, match="lacks read access"):
-            _search(config)
-
-
-class TestAtlasPlanExecutorErrors:
-    """Atlas reports a wrong vector path and a dimension mismatch through the same error code, so
-    each one has to be told apart by its message or both come back as a generic index failure."""
-
-    def _translate(self, message):
-        from pymongo.errors import OperationFailure
-
-        return translate_mongo_error(
-            OperationFailure(message, code=8),
-            index_name=INDEX,
-            database="sample_mflix",
-            collection="embedded_movies",
-        )
-
-    def test_a_wrong_vector_path_points_at_the_embedding_field_setting(self):
-        translated = self._translate(
-            "PlanExecutor error during aggregation :: caused by :: nope is not indexed as vector"
-        )
-
-        assert "mongodb_embedding_field names a field" in str(translated)
-
-    def test_a_dimension_mismatch_is_not_reported_as_a_wrong_path(self):
-        translated = self._translate(
-            "PlanExecutor error during aggregation :: caused by :: vector field is indexed with "
-            "1536 dimensions but queried with 3072"
-        )
-
-        assert "does not match the vector dimensions" in str(translated)
-        assert "mongodb_embedding_field" not in str(translated)
-
-
-class TestErrorsCarryTheRightHttpStatus:
-    """litellm.exception_type passes a litellm exception through untouched but wraps anything
-    else into APIConnectionError, which the proxy serves as a 500 with a Python traceback in the
-    body. A misconfigured connection string is the caller's to fix, so it has to arrive as a 400.
-    """
-
-    @pytest.mark.parametrize(
-        "invoke",
-        [
-            pytest.param(lambda: _search(_config()[0], query="  "), id="empty-query"),
-            pytest.param(
-                lambda: _search(_config()[0], optional_params={"max_num_results": 999}),
-                id="max-num-results-out-of-range",
-            ),
-            pytest.param(
-                lambda: _search(_config()[0], optional_params={"filters": {"genre": "Action"}}),
-                id="unsupported-filters",
-            ),
-            pytest.param(
-                lambda: _search(_config()[0], litellm_params={"mongodb_connection_string": "postgres://host/db"}),
-                id="wrong-uri-scheme",
-            ),
-            pytest.param(
-                lambda: _search(_config()[0], litellm_params={"mongodb_database": None}), id="missing-database"
-            ),
-            pytest.param(
-                lambda: _search(_config()[0], litellm_params={"litellm_embedding_model": None}),
-                id="missing-embedding-model",
-            ),
-        ],
-    )
-    def test_configuration_failures_are_400(self, invoke):
-        with pytest.raises(BadRequestError) as excinfo:
-            invoke()
-        assert excinfo.value.status_code == 400
-        assert excinfo.value.llm_provider == "mongodb"
-
-    def test_missing_index_is_400(self):
-        error = missing_index_error("idx", "db", "coll")
-        assert error.status_code == 400
-        assert error.llm_provider == "mongodb"
-
-    def test_index_still_building_is_400(self):
-        error = index_not_ready_error("idx", "db", "coll", "PENDING")
-        assert error.status_code == 400
-
-    def test_unreachable_deployment_is_a_timeout_not_a_bad_request(self):
-        from pymongo.errors import ServerSelectionTimeoutError
-
-        translated = translate_mongo_error(
-            ServerSelectionTimeoutError("no servers"), index_name="idx", database="db", collection="coll"
-        )
-        assert isinstance(translated, Timeout)
-        assert translated.status_code == 408
-
-    def test_query_execution_timeout_is_a_timeout(self):
-        from pymongo.errors import ExecutionTimeout
-
-        translated = translate_mongo_error(
-            ExecutionTimeout("too slow"), index_name="idx", database="db", collection="coll"
-        )
-        assert isinstance(translated, Timeout)
-        assert translated.status_code == 408
-
-    def test_unrecognised_errors_are_not_relabelled_as_bad_requests(self):
-        original = RuntimeError("something else entirely")
-        assert (
-            translate_mongo_error(original, index_name="idx", database="db", collection="coll")
-            is original
-        )
-
-
-def test_atlas_rejected_credentials_are_named_even_though_the_code_is_8000():
-    """Atlas answers a wrong password with code 8000 "AtlasError", not the 18 that a
-    self-hosted deployment returns, so a code-only check reports it as a generic
-    rejected search and never tells the caller to look at their connection string."""
-    from pymongo.errors import OperationFailure
-
-    error = OperationFailure(
-        "bad auth : authentication failed",
-        code=8000,
-        details={"ok": 0, "errmsg": "bad auth : authentication failed", "code": 8000, "codeName": "AtlasError"},
-    )
-    translated = translate_mongo_error(error, index_name="idx", database="sample_mflix", collection="embedded_movies")
-
-    assert isinstance(translated, BadRequestError)
-    assert "mongodb_connection_string" in str(translated)
-    assert "sample_mflix.embedded_movies" in str(translated)
-
-
-def test_a_rejected_search_that_is_not_an_auth_failure_keeps_the_generic_message():
-    from pymongo.errors import OperationFailure
-
-    error = OperationFailure("PlanExecutor error", code=8, details={"errmsg": "PlanExecutor error"})
-    translated = translate_mongo_error(error, index_name="idx", database="db", collection="coll")
-
-    assert "mongodb_connection_string" not in str(translated)
-
-
-class TestUnrecognisedParameters:
-    """litellm_params carries plenty of keys this provider does not own, so the params model has
-    to ignore extras. That turns a mistyped mongodb_collection into 'mongodb_collection is
-    required', pointing the reader at a key they can see they have set."""
-
-    def test_a_mistyped_parameter_is_named(self):
-        config, _, _ = _config()
-
-        with pytest.raises(BadRequestError, match="mongodb_collectoin"):
-            _search(config, litellm_params={"mongodb_collectoin": "embedded_movies"})
-
-    def test_the_supported_names_are_listed(self):
-        config, _, _ = _config()
-
-        with pytest.raises(BadRequestError, match="mongodb_connection_string"):
-            _search(config, litellm_params={"mongodb_databse": "sample_mflix"})
-
-    def test_unrelated_litellm_params_are_still_ignored(self):
-        config, _, _ = _config(documents=[{"_id": 1, "text": "hit", "score": 0.9}])
-
-        response = _search(
-            config,
-            litellm_params={"use_litellm_proxy": False, "use_in_pass_through": False, "vector_store_id": "x"},
-        )
-
-        assert len(response["data"]) == 1
-
-    @pytest.mark.asyncio
-    async def test_the_async_path_rejects_them_too(self):
-        config, _, _ = _async_config()
-
-        with pytest.raises(BadRequestError, match="mongodb_collectoin"):
-            await _asearch(config, litellm_params={"mongodb_collectoin": "embedded_movies"})
-
-
-class TestClientConstructionFailures:
-    """Building the client parses the URI and, for mongodb+srv://, performs a DNS SRV lookup, so it
-    fails on exactly the inputs a user is most likely to get wrong. Constructing it outside the
-    translation boundary let those escape as raw pymongo errors, which litellm.exception_type then
-    wrapped into a 500 with a traceback in the body."""
-
-    def _config_that_fails_to_connect(self, error):
-        def factory(_key):
-            raise error
-
-        return MongoDBVectorStoreConfig(
-            embedding_executor=FakeEmbeddingExecutor([0.1, 0.2, 0.3]), sync_client_factory=factory
-        )
-
-    def _async_config_that_fails_to_connect(self, error):
-        def factory(_key):
-            raise error
-
-        return MongoDBVectorStoreConfig(
-            embedding_executor=FakeEmbeddingExecutor([0.1, 0.2, 0.3]), async_client_factory=factory
-        )
-
-    def test_a_malformed_uri_is_a_bad_request_not_a_500(self):
-        from pymongo.errors import InvalidURI
-
-        config = self._config_that_fails_to_connect(InvalidURI("Invalid URI scheme"))
-
-        with pytest.raises(BadRequestError, match="not a usable MongoDB connection string"):
-            _search(config)
-
-    def test_an_unresolvable_cluster_name_says_so(self):
-        from pymongo.errors import ConfigurationError
-
-        config = self._config_that_fails_to_connect(ConfigurationError("The DNS query name does not exist"))
-
-        with pytest.raises(BadRequestError, match="does not exist in DNS"):
-            _search(config)
-
-    def test_a_dns_lookup_that_ran_out_of_time_is_a_timeout(self):
-        from pymongo.errors import ConfigurationError
-
-        config = self._config_that_fails_to_connect(
-            ConfigurationError("The resolution lifetime expired after 0.291 seconds")
-        )
-
-        with pytest.raises(Timeout, match="did not finish in time"):
-            _search(config)
-
-    @pytest.mark.asyncio
-    async def test_the_async_path_translates_them_too(self):
-        from pymongo.errors import InvalidURI
-
-        config = self._async_config_that_fails_to_connect(InvalidURI("Invalid URI scheme"))
-
-        with pytest.raises(BadRequestError, match="not a usable MongoDB connection string"):
-            await _asearch(config)
-
-
-class TestSelfManagedDeploymentsAreFirstClass:
-    """mongod serves $vectorSearch identically whether mongot runs under Atlas or beside a
-    self-managed deployment, so an operator without an Atlas account has to be able to act on
-    every message. Guidance that only names Atlas remedies sends them looking for an IP access
-    list and a paused cluster that do not exist in their deployment."""
-
-    def _config_that_fails_to_connect(self, error):
-        def factory(_key):
-            raise error
-
-        return MongoDBVectorStoreConfig(
-            embedding_executor=FakeEmbeddingExecutor([0.1, 0.2, 0.3]), sync_client_factory=factory
-        )
-
-    def test_a_plain_mongodb_uri_without_srv_or_credentials_is_accepted(self):
-        params = _MongoDBSearchParams.model_validate(
-            {**BASE_PARAMS, "mongodb_connection_string": "mongodb://mongod.internal:27017"}
-        )
-
-        assert params.require_connection_string() == "mongodb://mongod.internal:27017"
-
-    def test_an_unreachable_deployment_names_a_self_managed_remedy(self):
-        from pymongo.errors import ServerSelectionTimeoutError
-
-        config = self._config_that_fails_to_connect(ServerSelectionTimeoutError("connection refused"))
-
-        with pytest.raises(Timeout) as excinfo:
-            _search(config)
-
-        assert "self-managed" in str(excinfo.value)
-        assert "host or port" in str(excinfo.value)
-
-    def test_a_refused_connection_names_a_self_managed_remedy(self):
-        from pymongo.errors import ConnectionFailure
-
-        config = self._config_that_fails_to_connect(ConnectionFailure("connection closed"))
-
-        with pytest.raises(ServiceUnavailableError) as excinfo:
-            _search(config)
-
-        assert "self-managed" in str(excinfo.value)
-        assert "mongod is listening" in str(excinfo.value)
-
-    def test_an_unresolvable_hostname_names_a_self_managed_remedy(self):
-        from pymongo.errors import ConfigurationError
-
-        config = self._config_that_fails_to_connect(ConfigurationError("The DNS query name does not exist"))
-
-        with pytest.raises(BadRequestError) as excinfo:
-            _search(config)
-
-        assert "self-managed" in str(excinfo.value)
-
-    def test_the_missing_index_message_does_not_claim_atlas(self):
-        message = str(missing_index_error(INDEX, "sample_mflix", "embedded_movies"))
-
-        assert "MongoDB Vector Search index" in message
-        assert "Atlas" not in message
-
-    def test_the_not_ready_message_does_not_claim_atlas(self):
-        message = str(index_not_ready_error(INDEX, "sample_mflix", "embedded_movies", "PENDING"))
-
-        assert "MongoDB Vector Search index" in message
-        assert "Atlas" not in message
-
-    def test_the_search_only_refusal_does_not_claim_atlas(self):
-        config = MongoDBVectorStoreConfig()
-
-        with pytest.raises(BadRequestError) as excinfo:
-            config.transform_create_vector_store_request({}, api_base="")
-
-        assert "Atlas" not in str(excinfo.value)
-
-    def test_a_dimension_mismatch_does_not_claim_atlas(self):
-        from pymongo.errors import OperationFailure
-
-        error = OperationFailure("vector field is indexed with 128 dimensions but queried with 256")
-        translated = translate_mongo_error(error, index_name=INDEX, database="db", collection="c")
-
-        assert "Atlas" not in str(translated)
-        assert "dimensions the index was built for" in str(translated)
-
-    def test_an_uncovered_embedding_field_does_not_claim_atlas(self):
-        from pymongo.errors import OperationFailure
-
-        error = OperationFailure("embedding is not indexed as vector")
-        translated = translate_mongo_error(error, index_name=INDEX, database="db", collection="c")
-
-        assert "MongoDB Vector Search index does not cover" in str(translated)
-        assert "Atlas" not in str(translated)
-
-    def test_a_self_managed_auth_failure_is_still_recognised_by_code_18(self):
-        from pymongo.errors import OperationFailure
-
-        error = OperationFailure("Authentication failed.", code=18, details={"code": 18})
-        translated = translate_mongo_error(error, index_name=INDEX, database="db", collection="c")
-
-        assert isinstance(translated, BadRequestError)
-        assert "rejected the credentials" in str(translated)
-
-
-class TestUnescapedCredentialsAreDiagnosed:
-    """Self-managed deployments usually carry a generated password, so '@', '/', ':' and '%' in one
-    are routine. pymongo reports those as a port, a database name or an RFC 3986 complaint, none of
-    which points the operator at their password, so each has to be named for what it is. The errors
-    here come from pymongo's real parser rather than a synthetic stand-in."""
-
-    @staticmethod
-    def _real_parse_error(uri):
-        from pymongo import MongoClient
-
-        try:
-            MongoClient(uri, serverSelectionTimeoutMS=1)
-        except Exception as e:
-            return e
-        raise AssertionError(f"expected {uri!r} to fail parsing")
-
-    def _translated(self, uri):
-        return translate_mongo_error(
-            self._real_parse_error(uri), index_name=INDEX, database="db", collection="c"
-        )
-
-    @pytest.mark.parametrize(
-        "uri",
-        [
-            "mongodb://user:pa@ss@host:27017/",
-            "mongodb://user:pa:ss@host:27017/",
-            "mongodb://user:pa%ss@host:27017/",
-            "mongodb://user@x:pw@host:27017/",
-        ],
-    )
-    def test_rfc_3986_complaints_tell_the_operator_to_encode_the_password(self, uri):
-        translated = self._translated(uri)
-
-        assert isinstance(translated, BadRequestError)
-        assert "percent-encoded per RFC 3986" in str(translated)
-
-    @pytest.mark.parametrize(
-        "uri",
-        ["mongodb://user:pa/ss@host:27017/", "mongodb://user/x:pw@host:27017/"],
-    )
-    def test_a_slash_in_the_credentials_is_not_reported_as_a_database_name(self, uri):
-        translated = self._translated(uri)
-
-        assert isinstance(translated, BadRequestError)
-        assert "percent-encoded per RFC 3986" in str(translated)
-
-    def test_an_unusable_port_names_the_host_and_port_not_the_database(self):
-        translated = self._translated("mongodb://host:99999/")
-
-        assert isinstance(translated, BadRequestError)
-        assert "host and port" in str(translated)
-
-    def test_a_genuinely_bad_database_name_still_mentions_the_uri_path(self):
-        translated = self._translated("mongodb://host:27017/has space")
-
-        assert isinstance(translated, BadRequestError)
-        assert "database name in the URI path" in str(translated)
-
-
-class TestUnreadableTlsFilesAreDiagnosed:
-    """A private CA is how self-managed deployments present TLS, so tlsCAFile and
-    tlsCertificateKeyFile are on-prem options in practice. pymongo opens those files itself and
-    lets OSError out, which is not a PyMongoError, so before this they reached the caller as a 500
-    with a traceback. The errors here come from pymongo's real TLS setup."""
-
-    @staticmethod
-    def _real_tls_error(uri):
-        from pymongo import MongoClient
-
-        try:
-            MongoClient(uri, serverSelectionTimeoutMS=1500).admin.command("ping")
-        except Exception as e:
-            return e
-        raise AssertionError(f"expected {uri!r} to fail")
-
-    def _translated(self, uri):
-        return translate_mongo_error(self._real_tls_error(uri), index_name=INDEX, database="db", collection="c")
-
-    @pytest.mark.parametrize(
-        "path",
-        ["/nonexistent-directory-for-tests/ca.pem", "/tmp"],
-    )
-    def test_an_unreadable_ca_file_is_a_400_naming_the_path(self, path):
-        translated = self._translated(f"mongodb://localhost:27717/?tls=true&tlsCAFile={path}")
-
-        assert isinstance(translated, BadRequestError)
-        assert path in str(translated)
-        assert "tlsCAFile" in str(translated)
-
-    def test_an_unreadable_client_certificate_is_a_400_naming_the_path(self):
-        path = "/nonexistent-directory-for-tests/client.pem"
-        translated = self._translated(f"mongodb://localhost:27717/?tls=true&tlsCertificateKeyFile={path}")
-
-        assert isinstance(translated, BadRequestError)
-        assert path in str(translated)
-
-    def test_an_oserror_carrying_no_filename_is_left_for_the_other_branches(self):
-        translated = translate_mongo_error(OSError("socket hung up"), index_name=INDEX, database="db", collection="c")
-
-        assert not isinstance(translated, BadRequestError)
-
-
-class TestTheCallerSuppliedEmbeddingExecutorIsUsed:
-    """litellm.vector_stores.search always hands a direct provider an embedding_executor, so the
-    provider has to accept it and route the query through it rather than its own default."""
-
-    def test_the_supplied_executor_produces_the_query_vector(self):
-        config, _, collection = _config(embedding=(0.9, 0.9, 0.9), search_indexes=READY_INDEX)
-        caller = FakeEmbeddingExecutor([0.4, 0.5, 0.6])
-
-        config.execute_search_vector_store_request(
-            vector_store_id=INDEX,
-            query="a lone astronaut",
-            vector_store_search_optional_params={},
-            litellm_logging_obj=MagicMock(),
-            litellm_params=BASE_PARAMS,
-            embedding_executor=caller,
-        )
-
-        assert caller.captured.query == "a lone astronaut"
-        assert _stage(collection, "$vectorSearch")["queryVector"] == (0.4, 0.5, 0.6)
-
-    @pytest.mark.asyncio
-    async def test_the_supplied_executor_produces_the_query_vector_on_the_async_path(self):
-        config, _, collection = _async_config(embedding=(0.9, 0.9, 0.9), search_indexes=READY_INDEX)
-        caller = FakeEmbeddingExecutor([0.4, 0.5, 0.6])
-
-        await config.aexecute_search_vector_store_request(
-            vector_store_id=INDEX,
-            query="a lone astronaut",
-            vector_store_search_optional_params={},
-            litellm_logging_obj=MagicMock(),
-            litellm_params=BASE_PARAMS,
-            embedding_executor=caller,
-        )
-
-        assert caller.captured.query == "a lone astronaut"
-        assert _stage(collection, "$vectorSearch")["queryVector"] == (0.4, 0.5, 0.6)
+    assert "obsolete-secret" not in str(error.value)
+    executor.call.assert_not_called()
+
+
+@pytest.mark.parametrize(
+    "status,body,error_type",
+    [
+        (400, {"error": {"message": "Index is not queryable"}}, litellm.BadRequestError),
+        (401, {}, litellm.AuthenticationError),
+        (408, {}, litellm.Timeout),
+        (503, {}, litellm.ServiceUnavailableError),
+        (200, {}, litellm.ServiceUnavailableError),
+        (200, {**RESULT, "data": [{"score": "wrong"}]}, litellm.ServiceUnavailableError),
+        (0, {}, litellm.Timeout),
+        (-1, {}, litellm.BadRequestError),
+        (200, RESULT, None),
+    ],
+)
+def test_public_sdk_preserves_http_errors_response_and_timeout(
+    status: int, body: Mapping[str, object], error_type: type[Exception] | None
+) -> None:
+    executor: Final = RecordingEmbeddingExecutor()
+    if status == -1:
+        with pytest.raises(litellm.BadRequestError, match="search-only"):
+            litellm.vector_stores.create(custom_llm_provider="mongodb")
+        executor.call.assert_not_called()
+        return
+
+    def respond(request: httpx.Request) -> httpx.Response:
+        assert request.url == "https://sidecar.example/prefix/v1/vector_stores/policy_index/search"
+        assert request.headers["authorization"] == "Bearer test-sidecar-key"
+        assert request.extensions["timeout"]["read"] == 0.75
+        payload: Final = json.loads(request.content)
+        assert payload["timeout_ms"] == 750
+        assert payload["query_vector"] == [0.1, 0.2, 0.3]
+        if status == 0:
+            raise httpx.ReadTimeout("timed out", request=request)
+        return httpx.Response(status, json=body)
+
+    with httpx.Client(transport=httpx.MockTransport(respond)) as transport:
+        client: Final = HTTPHandler(client=transport)
+        if error_type is not None:
+            with pytest.raises(error_type):
+                litellm.vector_stores.search(
+                    vector_store_id="policy_index",
+                    query="travel policy",
+                    custom_llm_provider="mongodb",
+                    _direct_vector_store_embedding_executor=executor,
+                    client=client,
+                    timeout=0.75,
+                    **BASE_PARAMS,
+                )
+        else:
+            result: Final = litellm.vector_stores.search(
+                vector_store_id="policy_index",
+                query="travel policy",
+                custom_llm_provider="mongodb",
+                _direct_vector_store_embedding_executor=executor,
+                client=client,
+                timeout=0.75,
+                **BASE_PARAMS,
+            )
+            assert result == RESULT
+    executor.call.assert_called_once_with("embedding-alias", "travel policy", {})
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
index 84a9314ecce..8da7098b695 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
@@ -69,10 +69,11 @@ describe("VectorStoreForm", () => {
   });
 });
 
-const MONGODB_URI = "mongodb+srv://user:pass@cluster0.mongodb.net";
+const MONGODB_SIDECAR_URL = "http://mongodb-sidecar:8080";
 
 const MONGODB_REQUIRED_FORM_VALUES = {
-  mongodb_connection_string: MONGODB_URI,
+  api_base: MONGODB_SIDECAR_URL,
+  api_key: "sidecar-test-key",
   mongodb_database: "sample_mflix",
   mongodb_collection: "embedded_movies",
   embedding_model: "text-embedding-ada-002",
@@ -127,7 +128,8 @@ describe("buildVectorStoreLitellmParams", () => {
       mongodb_num_candidates: "200",
     };
     const expected = {
-      mongodb_connection_string: MONGODB_URI,
+      api_base: MONGODB_SIDECAR_URL,
+      api_key: "sidecar-test-key",
       mongodb_database: "sample_mflix",
       mongodb_collection: "embedded_movies",
       mongodb_embedding_field: "plot_embedding",
@@ -142,6 +144,7 @@ describe("buildVectorStoreLitellmParams", () => {
   it("sends only mongodb fields when an earlier provider left values in the form", () => {
     const formValues = {
       ...MONGODB_REQUIRED_FORM_VALUES,
+      mongodb_connection_string: "mongodb://obsolete-credentials",
       valkey_host: "left-over-from-valkey.example.com",
       valkey_port: "6379",
       aws_region_name: "us-west-2",
@@ -152,7 +155,8 @@ describe("buildVectorStoreLitellmParams", () => {
     expect(params).not.toHaveProperty("valkey_host");
     expect(params).not.toHaveProperty("valkey_port");
     expect(params).not.toHaveProperty("aws_region_name");
-    expect(params.mongodb_connection_string).toBe(MONGODB_URI);
+    expect(params.api_base).toBe(MONGODB_SIDECAR_URL);
+    expect(params).not.toHaveProperty("mongodb_connection_string");
   });
 
   it("omits a blank mongodb_num_candidates so litellm picks its own candidate count", () => {
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx
index 61da25874a5..67ef1b795ba 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx
@@ -70,7 +70,6 @@ const PROVIDER_FIELD_NAMES = [
   "vector_bucket_name",
   "index_name",
   "aws_region_name",
-  "mongodb_connection_string",
   "mongodb_database",
   "mongodb_collection",
   "mongodb_embedding_field",
@@ -107,7 +106,6 @@ const vectorStoreShape = {
   vector_bucket_name: optionalText,
   index_name: optionalText,
   aws_region_name: optionalText,
-  mongodb_connection_string: optionalText,
   mongodb_database: optionalText,
   mongodb_collection: optionalText,
   mongodb_embedding_field: optionalText,
@@ -142,7 +140,7 @@ const VECTOR_STORE_ID_PLACEHOLDERS: Record<string, string> = {
   vertex_rag_engine: '6917529027641081856 (corpus ID from Vertex AI / "RAG Engine" console)',
   "vertex_ai/search_api": 'my-datastore_1234567890 (data store ID from Vertex AI / "Agent Search" console)',
   valkey: "my-search-index (FT index name in Valkey)",
-  mongodb: "my-vector-index (Atlas Vector Search index name)",
+  mongodb: "my-vector-index (MongoDB Vector Search index name)",
 };
 
 const VERTEX_SEARCH_API_WITH_ENGINE_PLACEHOLDER = "Any identifier you'll use to reference this in LiteLLM";
diff --git a/ui/litellm-dashboard/src/components/vector_store_providers.test.tsx b/ui/litellm-dashboard/src/components/vector_store_providers.test.tsx
index 8e3a3aa3402..32d0f5dccc0 100644
--- a/ui/litellm-dashboard/src/components/vector_store_providers.test.tsx
+++ b/ui/litellm-dashboard/src/components/vector_store_providers.test.tsx
@@ -35,7 +35,8 @@ describe("getVectorStoreProviderLogoAndName", () => {
     });
     expect(vectorStoreProviderMap.MongoDB).toBe("mongodb");
     expect(getProviderSpecificFields("mongodb").map((field) => field.name)).toEqual([
-      "mongodb_connection_string",
+      "api_base",
+      "api_key",
       "mongodb_database",
       "mongodb_collection",
       "embedding_model",
@@ -45,12 +46,10 @@ describe("getVectorStoreProviderLogoAndName", () => {
     ]);
   });
 
-  it("hides the mongodb connection string, which carries the database password", () => {
-    const connectionString = getProviderSpecificFields("mongodb").find(
-      (field) => field.name === "mongodb_connection_string",
-    );
+  it("hides the mongodb sidecar API key", () => {
+    const apiKey = getProviderSpecificFields("mongodb").find((field) => field.name === "api_key");
 
-    expect(connectionString).toMatchObject({ type: "password", required: true });
+    expect(apiKey).toMatchObject({ type: "password", required: true });
   });
 
   it("picks the mongodb embedding model from the proxy's models rather than a fixed list", () => {
diff --git a/ui/litellm-dashboard/src/components/vector_store_providers.tsx b/ui/litellm-dashboard/src/components/vector_store_providers.tsx
index a75f10771a8..6a8b2f405d2 100644
--- a/ui/litellm-dashboard/src/components/vector_store_providers.tsx
+++ b/ui/litellm-dashboard/src/components/vector_store_providers.tsx
@@ -14,7 +14,7 @@ export enum VectorStoreProviders {
   OpenAI = "OpenAI",
   Azure = "Azure OpenAI",
   Milvus = "Milvus",
-  MongoDB = "MongoDB Atlas",
+  MongoDB = "MongoDB (BETA)",
   Valkey = "Valkey",
 }
 
@@ -175,18 +175,25 @@ export const vectorStoreProviderFields: Record<string, VectorStoreFieldConfig[]>
   ],
   mongodb: [
     {
-      name: "mongodb_connection_string",
-      label: "Connection String",
-      tooltip:
-        "The full MongoDB connection string for your Atlas cluster, including the database user and password. Copy it from Atlas under Connect, Drivers (e.g. mongodb+srv://user:password@cluster.mongodb.net)",
-      placeholder: "mongodb+srv://user:password@cluster.mongodb.net",
+      name: "api_base",
+      label: "Sidecar URL",
+      tooltip: "The URL of your separately deployed MongoDB sidecar. Configure MongoDB credentials in the sidecar",
+      placeholder: "http://mongodb-sidecar:8080",
+      required: true,
+      type: "text",
+    },
+    {
+      name: "api_key",
+      label: "Sidecar API Key",
+      tooltip: "The MONGODB_SIDECAR_API_KEY configured in your MongoDB sidecar",
+      placeholder: "Enter sidecar API key",
       required: true,
       type: "password",
     },
     {
       name: "mongodb_database",
       label: "Database",
-      tooltip: "The Atlas database holding the collection you want to search",
+      tooltip: "The MongoDB database holding the collection you want to search",
       placeholder: "sample_mflix",
       required: true,
       type: "text",
@@ -194,7 +201,7 @@ export const vectorStoreProviderFields: Record<string, VectorStoreFieldConfig[]>
     {
       name: "mongodb_collection",
       label: "Collection",
-      tooltip: "The collection your Atlas Vector Search index was built on",
+      tooltip: "The collection your MongoDB Vector Search index was built on",
       placeholder: "embedded_movies",
       required: true,
       type: "text",
@@ -212,7 +219,7 @@ export const vectorStoreProviderFields: Record<string, VectorStoreFieldConfig[]>
       name: "mongodb_embedding_field",
       label: "Vector Field Name",
       tooltip:
-        "The field in each document that holds its embedding. It must match the path your Atlas Vector Search index was created on (default: embedding)",
+        "The field in each document that holds its embedding. It must match the path your MongoDB Vector Search index was created on (default: embedding)",
       placeholder: "embedding",
       required: false,
       type: "text",
@@ -232,7 +239,7 @@ export const vectorStoreProviderFields: Record<string, VectorStoreFieldConfig[]>
       name: "mongodb_num_candidates",
       label: "Candidates Considered",
       tooltip:
-        "How many nearest neighbours Atlas examines before returning the top results. Higher is more accurate and slower. Leave blank to let LiteLLM scale it with the requested result count",
+        "How many nearest neighbours MongoDB examines before returning the top results. Higher is more accurate and slower. Leave blank to let LiteLLM scale it with the requested result count",
       placeholder: "100",
       required: false,
       type: "text",
diff --git a/uv.lock b/uv.lock
index 89205cd9527..ce5d96f4d9c 100644
--- a/uv.lock
+++ b/uv.lock
@@ -10,7 +10,7 @@ resolution-markers = [
 ]
 
 [options]
-exclude-newer = "2026-09-02T16:58:34.594994Z"
+exclude-newer = "2026-09-05T05:15:35.833796Z"
 exclude-newer-span = "P3D"
 
 [manifest]
@@ -4415,9 +4415,6 @@ mcp = [
 mlflow = [
     { name = "mlflow" },
 ]
-mongodb = [
-    { name = "pymongo" },
-]
 proxy = [
     { name = "apscheduler" },
     { name = "azure-identity" },
@@ -4649,7 +4646,6 @@ requires-dist = [
     { name = "pydantic", specifier = ">=2.10.0,<3.0.0" },
     { name = "pydantic-settings", specifier = ">=2.14.1,<3.0" },
     { name = "pyjwt", marker = "extra == 'proxy'", specifier = ">=2.13.0,<3.0" },
-    { name = "pymongo", marker = "extra == 'mongodb'", specifier = ">=4.9,<5.0" },
     { name = "pynacl", marker = "extra == 'proxy'", specifier = ">=1.6.2,<2.0" },
     { name = "pypdf", marker = "extra == 'proxy-runtime'", specifier = ">=6.16.1,<7.0" },
     { name = "pyroscope-io", marker = "sys_platform != 'win32' and extra == 'proxy'", specifier = ">=0.8.16,<1.0" },
@@ -4676,7 +4672,7 @@ requires-dist = [
     { name = "uvloop", marker = "sys_platform != 'win32' and extra == 'proxy'", specifier = ">=0.22.1,<1.0" },
     { name = "websockets", marker = "extra == 'proxy'", specifier = ">=15.0.1,<16.0" },
 ]
-provides-extras = ["proxy", "cli", "extra-proxy", "utils", "caching", "mcp", "mongodb", "saml", "semantic-router", "mlflow", "grpc", "stt-nvidia-riva", "google", "bedrock-realtime", "proxy-runtime"]
+provides-extras = ["proxy", "cli", "extra-proxy", "utils", "caching", "mcp", "saml", "semantic-router", "mlflow", "grpc", "stt-nvidia-riva", "google", "bedrock-realtime", "proxy-runtime"]
 
 [package.metadata.requires-dev]
 ci = [
@@ -7620,77 +7616,6 @@ wheels = [
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 ]
 
-[[package]]
-name = "pymongo"
-version = "4.17.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
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-
 [[package]]
 name = "pynacl"
 version = "1.6.2"

From 0c519b162f2ca44effc7ff5bd14d80e9cb8935ae Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 7 Sep 2026 23:43:21 -0700
Subject: [PATCH 086/223] fix: preserve MongoDB deadlines and secure remote
 sidecar transport

---
 .../mongodb/vector_stores/transformation.py   |  19 ++-
 .../test_mongodb_transformation.py            | 114 ++++++++++++------
 .../_components/VectorStoreForm.test.tsx      |   2 +-
 .../src/components/vector_store_providers.tsx |   4 +-
 4 files changed, 97 insertions(+), 42 deletions(-)

diff --git a/litellm/llms/mongodb/vector_stores/transformation.py b/litellm/llms/mongodb/vector_stores/transformation.py
index 92965ab745b..606da9cffb4 100644
--- a/litellm/llms/mongodb/vector_stores/transformation.py
+++ b/litellm/llms/mongodb/vector_stores/transformation.py
@@ -1,4 +1,5 @@
 from collections.abc import Mapping, Sequence
+from ipaddress import ip_address
 from math import isfinite
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Final, Literal, NoReturn
@@ -196,7 +197,7 @@ class MongoDBVectorStoreConfig(BaseQueryEmbeddingVectorStoreConfig):
 
     def get_complete_url(self, api_base: str | None, litellm_params: dict[str, object]) -> str:
         if not api_base:
-            raise config_error("MongoDB sidecar api_base is required, for example http://mongodb-sidecar:8080.")
+            raise config_error("MongoDB sidecar api_base is required, for example http://127.0.0.1:8080.")
         try:
             parsed: Final = urlsplit(api_base)
             valid: Final = parsed.scheme in ("http", "https") and bool(parsed.hostname) and parsed.port != 0
@@ -206,6 +207,17 @@ class MongoDBVectorStoreConfig(BaseQueryEmbeddingVectorStoreConfig):
             raise config_error(
                 "MongoDB sidecar api_base must be an HTTP or HTTPS URL without credentials, query, or fragment."
             )
+        if parsed.scheme == "http":
+            try:
+                loopback: Final = ip_address(parsed.hostname or "").is_loopback
+            except ValueError:
+                raise config_error(
+                    "MongoDB sidecar requires HTTPS. HTTP is supported only for a loopback IP such as 127.0.0.1."
+                ) from None
+            if not loopback:
+                raise config_error(
+                    "MongoDB sidecar requires HTTPS. HTTP is supported only for a loopback IP such as 127.0.0.1."
+                )
         return api_base.rstrip("/")
 
     @staticmethod
@@ -215,7 +227,10 @@ class MongoDBVectorStoreConfig(BaseQueryEmbeddingVectorStoreConfig):
             return 30_000
         if not isinstance(seconds, (int, float)) or not isfinite(seconds) or seconds <= 0:
             raise config_error("MongoDB search timeout must be a positive finite number.")
-        return max(1, min(int(seconds * 1000), 30_000))
+        try:
+            return max(1, int(seconds * 1000))
+        except (ValueError, OverflowError):
+            raise config_error("MongoDB search timeout must be a positive finite number.") from None
 
     @classmethod
     def _params(
diff --git a/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py b/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py
index bca2b544673..9de473fb1f0 100644
--- a/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py
+++ b/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py
@@ -7,10 +7,10 @@ import httpx
 import pytest
 
 import litellm
-from litellm.llms.custom_httpx.http_handler import HTTPHandler
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 from litellm.llms.mongodb.vector_stores.transformation import MongoDBVectorStoreConfig
 from litellm.types.utils import EmbeddingResponse
-from litellm.types.vector_stores import VectorStoreSearchOptionalRequestParams
+from litellm.types.vector_stores import VectorStoreSearchOptionalRequestParams, VectorStoreSearchResponse
 
 BASE_PARAMS: Final = {
     "api_base": "https://sidecar.example/prefix",
@@ -131,52 +131,92 @@ def test_invalid_search_is_rejected_before_embedding(
         (200, {**RESULT, "data": [{"score": "wrong"}]}, litellm.ServiceUnavailableError),
         (0, {}, litellm.Timeout),
         (-1, {}, litellm.BadRequestError),
+        (-2, {"api_base": "http://sidecar.example"}, litellm.BadRequestError),
+        (-2, {"api_base": "http://10.0.0.10:8080"}, litellm.BadRequestError),
+        (-2, {"api_base": "http://localhost:8080"}, litellm.BadRequestError),
         (200, RESULT, None),
     ],
 )
-def test_public_sdk_preserves_http_errors_response_and_timeout(
-    status: int, body: Mapping[str, object], error_type: type[Exception] | None
+@pytest.mark.parametrize("asynchronous", [False, True])
+@pytest.mark.parametrize("timeout", [0.75, 120.0])
+@pytest.mark.parametrize("api_base", ["https://sidecar.example/prefix", "http://127.0.0.1:8080", "http://[::1]:8080"])
+@pytest.mark.asyncio
+async def test_public_sdk_preserves_http_errors_response_and_timeout(
+    status: int,
+    body: Mapping[str, object],
+    error_type: type[Exception] | None,
+    asynchronous: bool,
+    timeout: float,
+    api_base: str,
 ) -> None:
     executor: Final = RecordingEmbeddingExecutor()
     if status == -1:
-        with pytest.raises(litellm.BadRequestError, match="search-only"):
-            litellm.vector_stores.create(custom_llm_provider="mongodb")
-        executor.call.assert_not_called()
+        if asynchronous:
+            with pytest.raises(litellm.BadRequestError, match="search-only"):
+                await litellm.vector_stores.acreate(custom_llm_provider="mongodb")
+        else:
+            with pytest.raises(litellm.BadRequestError, match="search-only"):
+                litellm.vector_stores.create(custom_llm_provider="mongodb")
         return
-
-    def respond(request: httpx.Request) -> httpx.Response:
-        assert request.url == "https://sidecar.example/prefix/v1/vector_stores/policy_index/search"
-        assert request.headers["authorization"] == "Bearer test-sidecar-key"
-        assert request.extensions["timeout"]["read"] == 0.75
-        payload: Final = json.loads(request.content)
-        assert payload["timeout_ms"] == 750
-        assert payload["query_vector"] == [0.1, 0.2, 0.3]
-        if status == 0:
-            raise httpx.ReadTimeout("timed out", request=request)
-        return httpx.Response(status, json=body)
-
-    with httpx.Client(transport=httpx.MockTransport(respond)) as transport:
-        client: Final = HTTPHandler(client=transport)
-        if error_type is not None:
-            with pytest.raises(error_type):
+    if status == -2:
+        rejected_params: Final = {**BASE_PARAMS, "api_base": str(body["api_base"])}
+        if asynchronous:
+            with pytest.raises(litellm.BadRequestError, match="requires HTTPS"):
+                await litellm.vector_stores.asearch(
+                    vector_store_id="policy_index",
+                    query="travel policy",
+                    custom_llm_provider="mongodb",
+                    _direct_vector_store_embedding_executor=executor,
+                    **rejected_params,
+                )
+        else:
+            with pytest.raises(litellm.BadRequestError, match="requires HTTPS"):
                 litellm.vector_stores.search(
                     vector_store_id="policy_index",
                     query="travel policy",
                     custom_llm_provider="mongodb",
                     _direct_vector_store_embedding_executor=executor,
-                    client=client,
-                    timeout=0.75,
-                    **BASE_PARAMS,
+                    **rejected_params,
                 )
-        else:
-            result: Final = litellm.vector_stores.search(
-                vector_store_id="policy_index",
-                query="travel policy",
-                custom_llm_provider="mongodb",
-                _direct_vector_store_embedding_executor=executor,
-                client=client,
-                timeout=0.75,
-                **BASE_PARAMS,
-            )
-            assert result == RESULT
+        executor.call.assert_not_called()
+        return
+
+    def respond(request: httpx.Request) -> httpx.Response:
+        assert request.url == f"{api_base}/v1/vector_stores/policy_index/search"
+        assert request.headers["authorization"] == "Bearer test-sidecar-key"
+        assert request.extensions["timeout"]["read"] == timeout
+        payload: Final = json.loads(request.content)
+        assert payload["timeout_ms"] == int(timeout * 1000)
+        assert payload["query_vector"] == [0.1, 0.2, 0.3]
+        if status == 0:
+            raise httpx.ReadTimeout("timed out", request=request)
+        return httpx.Response(status, json=body)
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as async_transport:
+        with httpx.Client(transport=httpx.MockTransport(respond)) as transport:
+            client: Final = AsyncHTTPHandler() if asynchronous else HTTPHandler(client=transport)
+            if isinstance(client, AsyncHTTPHandler):
+                await client.client.aclose()
+                client.client = async_transport
+
+            async def search() -> VectorStoreSearchResponse:
+                kwargs: Final = {
+                    **BASE_PARAMS,
+                    "api_base": api_base,
+                    "vector_store_id": "policy_index",
+                    "query": "travel policy",
+                    "custom_llm_provider": "mongodb",
+                    "_direct_vector_store_embedding_executor": executor,
+                    "client": client,
+                    "timeout": timeout,
+                }
+                if asynchronous:
+                    return await litellm.vector_stores.asearch(**kwargs)
+                return litellm.vector_stores.search(**kwargs)
+
+            if error_type is not None:
+                with pytest.raises(error_type):
+                    await search()
+            else:
+                assert await search() == RESULT
     executor.call.assert_called_once_with("embedding-alias", "travel policy", {})
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
index 8da7098b695..03020bbc4a5 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx
@@ -69,7 +69,7 @@ describe("VectorStoreForm", () => {
   });
 });
 
-const MONGODB_SIDECAR_URL = "http://mongodb-sidecar:8080";
+const MONGODB_SIDECAR_URL = "http://127.0.0.1:8080";
 
 const MONGODB_REQUIRED_FORM_VALUES = {
   api_base: MONGODB_SIDECAR_URL,
diff --git a/ui/litellm-dashboard/src/components/vector_store_providers.tsx b/ui/litellm-dashboard/src/components/vector_store_providers.tsx
index 6a8b2f405d2..79e711f6f98 100644
--- a/ui/litellm-dashboard/src/components/vector_store_providers.tsx
+++ b/ui/litellm-dashboard/src/components/vector_store_providers.tsx
@@ -177,8 +177,8 @@ export const vectorStoreProviderFields: Record<string, VectorStoreFieldConfig[]>
     {
       name: "api_base",
       label: "Sidecar URL",
-      tooltip: "The URL of your separately deployed MongoDB sidecar. Configure MongoDB credentials in the sidecar",
-      placeholder: "http://mongodb-sidecar:8080",
+      tooltip: "Use HTTPS for a remote sidecar, or HTTP with a loopback IP for a sidecar on the same host or Pod",
+      placeholder: "http://127.0.0.1:8080",
       required: true,
       type: "text",
     },

From 78893723f7b65cb73d2c5285cb412b25764a3857 Mon Sep 17 00:00:00 2001
From: Oliver Jensen <oliver@berri.ai>
Date: Tue, 8 Sep 2026 13:05:38 +0200
Subject: [PATCH 087/223] fix(auth): drop env-credential hint from 401 when env
 login is disabled

---
 litellm/proxy/auth/login_utils.py                 | 7 ++++++-
 tests/test_litellm/proxy/auth/test_login_utils.py | 3 +++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/auth/login_utils.py b/litellm/proxy/auth/login_utils.py
index 6ca7ea5074d..c0a76a4fc20 100644
--- a/litellm/proxy/auth/login_utils.py
+++ b/litellm/proxy/auth/login_utils.py
@@ -362,8 +362,13 @@ async def authenticate_user(
                 code=401,
             )
     else:
+        env_credentials_hint: Final = (
+            "\nCheck 'UI_USERNAME', 'UI_PASSWORD' in .env file"
+            if is_env_credential_login_enabled(general_settings)
+            else ""
+        )
         raise ProxyException(
-            message="Invalid credentials used to access UI.\nCheck 'UI_USERNAME', 'UI_PASSWORD' in .env file",
+            message=f"Invalid credentials used to access UI.{env_credentials_hint}",
             type=ProxyErrorTypes.auth_error,
             param="invalid_credentials",
             code=401,
diff --git a/tests/test_litellm/proxy/auth/test_login_utils.py b/tests/test_litellm/proxy/auth/test_login_utils.py
index 72cc6e04a12..e209a491b0a 100644
--- a/tests/test_litellm/proxy/auth/test_login_utils.py
+++ b/tests/test_litellm/proxy/auth/test_login_utils.py
@@ -186,6 +186,7 @@ async def test_authenticate_user_invalid_credentials():
         assert exc_info.value.type == ProxyErrorTypes.auth_error
         assert exc_info.value.code == "401"
         assert "Invalid credentials" in exc_info.value.message
+        assert "UI_USERNAME" in exc_info.value.message
 
 
 @pytest.mark.asyncio
@@ -829,6 +830,8 @@ class TestDisableEnvCredentialLogin:
 
         assert exc_info.value.type == ProxyErrorTypes.auth_error
         assert exc_info.value.code == "401"
+        assert "UI_USERNAME" not in exc_info.value.message
+        assert "UI_PASSWORD" not in exc_info.value.message
 
     @pytest.mark.asyncio
     async def test_rejects_master_key_fallback_when_disabled(self):

From 992ee37258e7f3c9ed13c374610899388bc8d446 Mon Sep 17 00:00:00 2001
From: Oliver Jensen <oliver@berri.ai>
Date: Tue, 8 Sep 2026 13:21:45 +0200
Subject: [PATCH 088/223] Update
 litellm/proxy/health_endpoints/_health_endpoints.py

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
---
 litellm/proxy/health_endpoints/_health_endpoints.py | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py
index e5e4f89234b..747cfa526d9 100644
--- a/litellm/proxy/health_endpoints/_health_endpoints.py
+++ b/litellm/proxy/health_endpoints/_health_endpoints.py
@@ -1583,16 +1583,6 @@ async def _show_no_redis_warning() -> bool:
 
 
 def _show_env_credential_login_warning() -> bool:
-    """
-    Whether the UI should warn admins that env-credential login is still enabled.
-
-    UI_USERNAME/UI_PASSWORD (or the master key, when UI_PASSWORD is unset) grant
-    proxy-admin access with a shared static secret: no per-person identity, no
-    audit trail, no password policy, and it stays valid until the env var or
-    master key rotates. That is fine for first-time setup, so it is on by
-    default, but once real admin accounts exist it should be turned off with
-    `general_settings.disable_env_credential_login`.
-    """
     from litellm.proxy.auth.login_utils import is_env_credential_login_enabled
     from litellm.proxy.proxy_server import general_settings
 

From deaadc21d3c84a9eb32c64e6a1e96c5852afdbb6 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 11:08:03 -0700
Subject: [PATCH 089/223] fix(fireworks_ai): fold instructions and developer
 items into one leading system message on the Responses path

---
 .../fireworks_ai/responses/transformation.py  | 44 ++++++++----
 ...t_fireworks_ai_responses_transformation.py | 70 ++++++++++++++++++-
 2 files changed, 100 insertions(+), 14 deletions(-)

diff --git a/litellm/llms/fireworks_ai/responses/transformation.py b/litellm/llms/fireworks_ai/responses/transformation.py
index fb0587553d4..61ef0731900 100644
--- a/litellm/llms/fireworks_ai/responses/transformation.py
+++ b/litellm/llms/fireworks_ai/responses/transformation.py
@@ -5,6 +5,7 @@ from urllib.parse import unquote
 
 import httpx
 from openai.types.responses import EasyInputMessageParam, ResponseInputItemParam
+from pydantic import TypeAdapter
 
 from litellm.llms.fireworks_ai.common_utils import (
     resolve_fireworks_api_key,
@@ -31,16 +32,32 @@ def _session_params(litellm_params: GenericLiteLLMParams) -> Mapping[str, object
     )
 
 
-def _developer_item_as_system(item: ResponseInputItemParam) -> ResponseInputItemParam:
-    if "role" not in item or item["role"] != "developer":
-        return item
-    return EasyInputMessageParam(role="system", content=item["content"], type="message")
+_instructions_adapter: Final = TypeAdapter[str | None](str | None)
 
 
-def _developer_items_as_system(input: str | ResponseInputParam) -> str | ResponseInputParam:
-    if isinstance(input, str):
+def _instruction_text(item: ResponseInputItemParam) -> str | None:
+    if "role" not in item or (item["role"] != "system" and item["role"] != "developer"):
+        return None
+    content: Final = item["content"]
+    if isinstance(content, str):
+        return content
+    return "\n\n".join(part["text"] for part in content if part["type"] == "input_text")
+
+
+def _with_single_leading_system_item(
+    input: str | ResponseInputParam, instructions: str | None
+) -> str | ResponseInputParam:
+    items: Final = () if isinstance(input, str) else tuple(input)
+    instruction_texts: Final = tuple(text for text in (instructions, *map(_instruction_text, items)) if text)
+    if not instruction_texts:
         return input
-    return [_developer_item_as_system(item) for item in input]
+    leading: Final = EasyInputMessageParam(role="system", content="\n\n".join(instruction_texts), type="message")
+    rest: Final = (
+        (EasyInputMessageParam(role="user", content=input),)
+        if isinstance(input, str)
+        else tuple(item for item in items if _instruction_text(item) is None)
+    )
+    return [leading, *rest]
 
 
 class FireworksAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
@@ -68,9 +85,6 @@ class FireworksAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
         base: Final = (api_base or get_secret_str("FIREWORKS_API_BASE") or FIREWORKS_AI_DEFAULT_API_BASE).rstrip("/")
         return f"{base}/responses"
 
-    def _validate_input_param(self, input: str | ResponseInputParam) -> str | ResponseInputParam:
-        return _developer_items_as_system(super()._validate_input_param(input))
-
     def transform_responses_api_request(
         self,
         model: str,
@@ -79,10 +93,16 @@ class FireworksAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
         litellm_params: GenericLiteLLMParams,
         headers: dict,  # mutable-ok: overrides the base class signature
     ) -> dict:  # mutable-ok: overrides the base class signature
+        instructions: Final = _instructions_adapter.validate_python(
+            response_api_optional_request_params.get("instructions")
+        )
+        folded_params: Final = {  # mutable-ok: the base class takes the optional params as a dict
+            key: value for key, value in response_api_optional_request_params.items() if key != "instructions"
+        }
         return super().transform_responses_api_request(
             model=resolve_fireworks_resource_name(model),
-            input=input,
-            response_api_optional_request_params=response_api_optional_request_params,
+            input=_with_single_leading_system_item(self._validate_input_param(input), instructions),
+            response_api_optional_request_params=folded_params,
             litellm_params=litellm_params,
             headers=headers,
         )
diff --git a/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py b/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
index b9408d44e9a..3462e041a19 100644
--- a/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
+++ b/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
@@ -162,7 +162,7 @@ def test_responses_call_forwards_previous_response_id_and_store() -> None:
     assert body["input"][0]["call_id"] == "call_abc123"
 
 
-def test_responses_call_sends_developer_items_as_system_messages() -> None:
+def test_responses_call_hoists_developer_items_into_one_leading_system_message() -> None:
     client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3"))
     with patch(HTTPX_CLIENT_FACTORY, return_value=client):
         litellm.responses(
@@ -176,12 +176,78 @@ def test_responses_call_sends_developer_items_as_system_messages() -> None:
         )
     _, _, body = _sent_request(client)
     assert tuple(body["input"]) == (
-        {"role": "user", "content": "Hi there"},
         {"role": "system", "content": "Answer with exactly one word.", "type": "message"},
+        {"role": "user", "content": "Hi there"},
         {"role": "user", "content": [{"type": "input_text", "text": "What is the capital of France?"}]},
     )
 
 
+def test_responses_call_folds_instructions_and_developer_item_into_one_leading_system_message() -> None:
+    client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b"))
+    with patch(HTTPX_CLIENT_FACTORY, return_value=client):
+        litellm.responses(
+            model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b",
+            instructions="You are a coding agent running in the Codex CLI.",
+            input=[  # mutable-ok: the Responses API takes input as a JSON list
+                {
+                    "role": "developer",
+                    "content": [{"type": "input_text", "text": "<permissions instructions>read-only</permissions instructions>"}],
+                },
+                {"role": "user", "content": [{"type": "input_text", "text": "What is the capital of France?"}]},
+                {"id": "rs_1", "type": "reasoning", "summary": [{"type": "summary_text", "text": "A trivial question."}]},
+                {
+                    "id": "msg_1",
+                    "type": "message",
+                    "role": "assistant",
+                    "status": "completed",
+                    "content": [{"type": "output_text", "text": "Paris is the capital of France.", "annotations": []}],
+                },
+                {"role": "user", "content": [{"type": "input_text", "text": "And of Spain?"}]},
+            ],
+            store=False,
+            api_key="fw-test-key",
+        )
+    _, _, body = _sent_request(client)
+    assert "instructions" not in body
+    assert tuple(body["input"]) == (
+        {
+            "role": "system",
+            "content": (
+                "You are a coding agent running in the Codex CLI.\n\n"
+                "<permissions instructions>read-only</permissions instructions>"
+            ),
+            "type": "message",
+        },
+        {"role": "user", "content": [{"type": "input_text", "text": "What is the capital of France?"}]},
+        {"id": "rs_1", "type": "reasoning", "summary": [{"type": "summary_text", "text": "A trivial question."}]},
+        {
+            "id": "msg_1",
+            "type": "message",
+            "role": "assistant",
+            "status": "completed",
+            "content": [{"type": "output_text", "text": "Paris is the capital of France.", "annotations": []}],
+        },
+        {"role": "user", "content": [{"type": "input_text", "text": "And of Spain?"}]},
+    )
+
+
+def test_responses_call_turns_string_input_with_instructions_into_system_then_user_messages() -> None:
+    client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3"))
+    with patch(HTTPX_CLIENT_FACTORY, return_value=client):
+        litellm.responses(
+            model="fireworks_ai/accounts/fireworks/models/kimi-k3",
+            instructions="Answer with exactly one word.",
+            input="What is the capital of France?",
+            api_key="fw-test-key",
+        )
+    _, _, body = _sent_request(client)
+    assert "instructions" not in body
+    assert tuple(body["input"]) == (
+        {"role": "system", "content": "Answer with exactly one word.", "type": "message"},
+        {"role": "user", "content": "What is the capital of France?"},
+    )
+
+
 def test_responses_call_maps_pydantic_developer_items_and_replays_pydantic_output_items() -> None:
     client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3"))
     pydantic_input: Final = cast(

From edde95197a5c37c7af3d9967a70b65ab47b6913c Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 11:11:48 -0700
Subject: [PATCH 090/223] test(proxy): cover every /v1/files route error type
 and param

---
 .../test_files_endpoint.py                    | 99 +++++++++++++++++++
 1 file changed, 99 insertions(+)

diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
index 123d54789bf..2257ae1ab29 100644
--- a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
+++ b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
@@ -4666,3 +4666,102 @@ def test_create_file_path_traversal_filename_rejected_before_forwarding(monkeypa
     assert error["param"] == "file"
     assert "traversal" in error["message"].lower()
     assert forwarded_calls == []
+
+
+def _setup_managed_file_route_answering_404(mocker: MockerFixture, monkeypatch, llm_router: Router):
+    """Wire the single-file routes to a managed file store that knows no file, the way the
+    managed files hook answers once a file has been deleted or was never the caller's."""
+    import litellm.proxy.proxy_server as ps
+    from fastapi import HTTPException
+    from litellm.llms.base_llm.files.transformation import BaseFileEndpoints
+    from litellm.proxy._types import LitellmUserRoles
+
+    async def _file_not_found(file_id: str, **kwargs):
+        raise HTTPException(status_code=404, detail=f"File not found: {file_id}")
+
+    proxy_logging_obj = setup_proxy_logging_object(monkeypatch, llm_router)
+    managed_files = mocker.MagicMock(spec=BaseFileEndpoints)
+    managed_files.afile_retrieve = mocker.AsyncMock(side_effect=_file_not_found)
+    managed_files.afile_delete = mocker.AsyncMock(side_effect=_file_not_found)
+    managed_files.afile_content = mocker.AsyncMock(side_effect=_file_not_found)
+    proxy_logging_obj.proxy_hook_mapping["managed_files"] = managed_files
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", llm_router)
+
+    app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth(
+        api_key="test-key",
+        user_role=LitellmUserRoles.INTERNAL_USER,
+        user_id="test-user",
+    )
+
+
+def _call_managed_file_route(method: str, path: str):
+    try:
+        return client.request(method, path, headers={"Authorization": "Bearer test-key"})
+    finally:
+        import litellm.proxy.proxy_server as ps
+
+        app.dependency_overrides.pop(ps.user_api_key_auth, None)
+
+
+def _missing_managed_file_error(file_id: str) -> dict:
+    return {
+        "error": {
+            "message": f"File not found: {file_id}",
+            "type": "invalid_request_error",
+            "param": None,
+            "code": "404",
+        }
+    }
+
+
+def test_create_file_reports_a_half_specified_expires_after_as_a_400(monkeypatch, llm_router: Router):
+    """A 400 raised inside the route answers with the type a 400 stands for and a JSON null
+    param, not the literal string "None" in both fields, so a client can classify it."""
+    setup_proxy_logging_object(monkeypatch, llm_router)
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", llm_router)
+
+    response = client.post(
+        "/v1/files",
+        files={"file": ("mydata.jsonl", VALID_BATCH_LINE, "application/jsonl")},
+        data={"purpose": "batch", "target_model_names": "gpt-3.5-turbo", "expires_after[anchor]": "created_at"},
+        headers={"Authorization": "Bearer test-key"},
+    )
+
+    assert response.status_code == 400, response.text
+    error = response.json()["error"]
+    assert "expires_after[seconds]" in error["message"]
+    assert error["type"] == "invalid_request_error"
+    assert error["param"] is None
+    assert error["code"] == "400"
+
+
+def test_get_file_reports_a_missing_managed_file_as_a_404(mocker: MockerFixture, monkeypatch, llm_router: Router):
+    _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router)
+    file_id = _unified_managed_file_id()
+
+    response = _call_managed_file_route("GET", f"/v1/files/{file_id}")
+
+    assert response.status_code == 404, response.text
+    assert response.json() == _missing_managed_file_error(file_id)
+
+
+def test_delete_file_reports_a_missing_managed_file_as_a_404(mocker: MockerFixture, monkeypatch, llm_router: Router):
+    _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router)
+    file_id = _unified_managed_file_id()
+
+    response = _call_managed_file_route("DELETE", f"/v1/files/{file_id}")
+
+    assert response.status_code == 404, response.text
+    assert response.json() == _missing_managed_file_error(file_id)
+
+
+def test_get_file_content_reports_a_missing_managed_file_as_a_404(
+    mocker: MockerFixture, monkeypatch, llm_router: Router
+):
+    _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router)
+    file_id = _unified_managed_file_id()
+
+    response = _call_managed_file_route("GET", f"/v1/files/{file_id}/content")
+
+    assert response.status_code == 404, response.text
+    assert response.json() == _missing_managed_file_error(file_id)

From 41c0897c7aa21742968715d152b2948a4d0fb83f Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 11:14:41 -0700
Subject: [PATCH 091/223] refactor(cost_map): drop docstrings from the
 provenance helpers and their tests

---
 litellm/litellm_core_utils/get_model_cost_map.py     |  6 ------
 .../litellm_core_utils/test_get_model_cost_map.py    | 12 ------------
 .../proxy/proxy_server/test_routes_model_cost_map.py |  3 ---
 3 files changed, 21 deletions(-)

diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index 2bdfbc66088..cdc4810ff04 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -45,7 +45,6 @@ def _count_model_entries(model_cost: dict) -> int:
 
 
 def git_blob_id(body: bytes) -> str:
-    """The sha1 git gives these bytes as a blob, so ``git rev-parse <commit>:<path>`` reproduces it for the file"""
     return hashlib.sha1(b"blob %d\0" % len(body) + body, usedforsecurity=False).hexdigest()
 
 
@@ -70,7 +69,6 @@ class GetModelCostMap:
 
     @staticmethod
     def load_local_model_cost_map_with_revision() -> "ModelCostMapReloaded":
-        """The bundled backup map together with the git blob id of the file it was parsed from"""
         body: Final = GetModelCostMap.read_local_model_cost_map_bytes()
         content: Final = json.loads(body)
         return ModelCostMapReloaded(model_cost_map=content, revision=git_blob_id(body))
@@ -413,9 +411,6 @@ class CostMapSourceInfo(CostMapProvenance):
 
 
 def get_model_cost_map_provenance() -> CostMapProvenance:
-    """Which revision of the cost map this process serves: the git blob id of the bytes it loaded, the
-    same id ``git rev-parse <commit>:model_prices_and_context_window.json`` prints for a checkout, plus
-    the ETag the remote fetch returned (None for the bundled backup)"""
     return {
         "source_revision": _cost_map_source_info.source_revision,
         "etag": _cost_map_source_info.etag,
@@ -520,7 +515,6 @@ def _finalize_model_cost_map(model_cost: dict) -> dict:
 
 
 def _finalize_loaded_model_cost_map(loaded: ModelCostMapReloaded) -> ModelCostMapReloaded:
-    """Record which bytes this process now serves, then finalize the map they parsed into"""
     _cost_map_source_info.source_revision = loaded.revision
     _cost_map_source_info.etag = loaded.etag
     return replace(loaded, model_cost_map=_finalize_model_cost_map(loaded.model_cost_map))
diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index 7c3ad283639..18794ea7eec 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -40,8 +40,6 @@ def _bundled_blob_id() -> str:
 
 
 def test_git_blob_id_is_what_git_hash_object_prints():
-    """An operator checks a reported revision with ``git hash-object`` or ``git rev-parse <commit>:<path>``,
-    so the id must be git's blob sha1 of the exact bytes, not a plain sha1 or a hash of the parsed JSON."""
     assert git_blob_id(b'{"gpt-5.4-mini": {"mode": "chat"}}\n') == "18b9a8381e13a3b38a2128f184f631f95829e987"
 
 
@@ -516,9 +514,6 @@ async def test_refetch_respects_local_env_override(monkeypatch):
 
 @pytest.mark.asyncio
 async def test_refetch_records_the_blob_id_of_the_bytes_served_and_the_fetch_etag():
-    """A reload reports which revision of the map it swapped in: the git blob id of the exact bytes the
-    fetch returned, so ``git rev-parse <commit>:model_prices_and_context_window.json`` can confirm it,
-    plus the ETag the fetch returned."""
     body = _real_map_bytes()
     client, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"abc123"'}, content=body)])
 
@@ -532,7 +527,6 @@ async def test_refetch_records_the_blob_id_of_the_bytes_served_and_the_fetch_eta
 
 @pytest.mark.asyncio
 async def test_refetch_revision_follows_the_bytes_not_the_url():
-    """Two fetches of the same URL that return different bytes report different revisions."""
     edited = json.loads(_real_map_bytes())
     edited["gpt-5.4-mini"]["input_cost_per_token"] = 0.5
     client, _ = _mock_client(
@@ -549,8 +543,6 @@ async def test_refetch_revision_follows_the_bytes_not_the_url():
 
 @pytest.mark.asyncio
 async def test_refetch_local_override_reports_the_bundled_blob_id_without_an_etag(monkeypatch):
-    """Forcing the bundled backup after a remote reload must report the backup's own blob id and drop the
-    remote ETag, since the map served is no longer the one that ETag identifies."""
     remote, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"remote"'}, content=_real_map_bytes())])
     await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=remote)
     monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
@@ -670,8 +662,6 @@ def test_boot_load_records_the_blob_id_of_the_bytes_served_and_the_fetch_etag():
 
 
 def test_boot_load_fallback_to_the_backup_reports_its_blob_id_and_drops_the_remote_etag():
-    """A boot that lands on the bundled backup reports the backup's own blob id and no ETag, even
-    when an earlier load in the same process had fetched the remote map."""
     remote, _ = _mock_client(
         [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_real_map_bytes())], client_cls=httpx.Client
     )
@@ -687,8 +677,6 @@ def test_boot_load_fallback_to_the_backup_reports_its_blob_id_and_drops_the_remo
 
 
 def test_boot_load_that_fails_the_integrity_check_reports_the_backup_not_the_rejected_fetch():
-    """A fetch that succeeds but fails integrity validation is thrown away, so the provenance must
-    describe the backup that got loaded, never the ETag or bytes of the map that was rejected."""
     remote, _ = _mock_client(
         [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_real_map_bytes())], client_cls=httpx.Client
     )
diff --git a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
index 0490993a314..36c364fb82b 100644
--- a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
+++ b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
@@ -50,7 +50,6 @@ def _attach_litellm_config(mock_prisma):
 
 
 def _pin_provenance(monkeypatch):
-    """Fix what this process reports as its cost map revision, independent of the map loaded at import."""
     monkeypatch.setattr(
         "litellm.litellm_core_utils.get_model_cost_map.get_model_cost_map_provenance",
         lambda: dict(_PROVENANCE),
@@ -110,8 +109,6 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma):
 def test_reload_model_cost_map_surfaces_the_blob_id_of_the_bytes_served_on_every_status_surface(
     client, auth_as, monkeypatch, mock_prisma
 ):
-    """A real refetch through the reload route reports the git blob id of the exact bytes it fetched and
-    the fetch ETag on the reload response, the source route, and the schedule status alike."""
     import httpx
 
     import litellm

From cbe340a31ca81c40be088520ebbaaaca644977ff Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 11:38:18 -0700
Subject: [PATCH 092/223] feat(guardrails): deliver tool-call rewrites into
 buffered streams

A post_call pipeline guardrail that rewrites a streamed tool call (its
arguments or its name) now has that rewrite written back across the buffered
chunks on chat, Responses, and Messages streams, so the client receives the
rewritten tool call instead of the original. The chat handler rewrites the
first fragment of each tool-call index and blanks the rest, the Responses
handler syncs the function_call output items and their argument events, and
the Messages handler rewrites the tool_use content_block_start and
input_json_delta events in both dict and SSE-bytes chunks.

The delivers_ended_stream_text_rewrites flag becomes
delivers_ended_stream_rewrites, since the write-back now covers both text and
tool calls, and the executor only discards a tool-call rewrite on translations
without write-back or on a shape the translation refuses.
---
 .../chat/guardrail_translation/handler.py     | 176 +++++++++++++++---
 .../guardrail_translation/base_translation.py |  17 +-
 .../chat/guardrail_translation/handler.py     |  96 +++++++++-
 .../guardrail_translation/handler.py          | 111 ++++++++++-
 .../proxy/policy_engine/pipeline_executor.py  |  22 +--
 litellm/proxy/utils.py                        |  10 +-
 .../test_anthropic_guardrail_handler.py       |  66 +++++++
 .../test_openai_guardrail_handler.py          |  73 ++++++++
 ...test_openai_responses_guardrail_handler.py |  88 +++++++++
 .../policy_engine/test_pipeline_executor.py   |  22 ++-
 .../proxy_logging/test_guardrail_pipeline.py  |   9 +-
 11 files changed, 618 insertions(+), 72 deletions(-)

diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
index e486be12fe2..2049866b444 100644
--- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py
+++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
@@ -13,10 +13,11 @@ Pattern Overview:
 """
 
 import json
-from collections.abc import Iterator, Mapping, Sequence
+from collections.abc import Callable, Mapping, Sequence
 from copy import deepcopy
 from dataclasses import dataclass
 from itertools import chain, repeat
+from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, Protocol, cast, overload, runtime_checkable
 
 from typing_extensions import ReadOnly, TypedDict, assert_never
@@ -41,6 +42,7 @@ from litellm.llms.base_llm.guardrail_translation.utils import (
     merge_guardrailed_scoped_messages,
     merge_returned_tools_into_request_tools,
     scoped_structured_message_indices,
+    stream_item_field,
     stream_item_fingerprint,
 )
 from litellm.proxy.pass_through_endpoints.llm_provider_handlers.anthropic_passthrough_logging_handler import (
@@ -153,6 +155,28 @@ class ExtractedInput:
 EMPTY_EXTRACTED_INPUT: Final = ExtractedInput(scanned=(), images=())
 
 
+@dataclass(frozen=True, slots=True)
+class _ToolCallShape:
+    name: str | None
+    arguments: str
+
+
+_SSEEventRewriter = Callable[[Mapping[str, object]], Mapping[str, object] | None]
+
+
+def _tool_call_shapes(tool_calls: Sequence[object]) -> tuple[_ToolCallShape, ...]:
+    """The guardrail-visible shape of each tool call, whether the guardrail handed
+    back the ``ChatCompletionMessageToolCall`` objects it was given or plain dicts."""
+    functions: Final = tuple(stream_item_field(tool_call, "function") for tool_call in tool_calls)
+    return tuple(
+        _ToolCallShape(
+            name=name if isinstance(name := stream_item_field(function, "name"), str) else None,
+            arguments=arguments if isinstance(arguments := stream_item_field(function, "arguments"), str) else "",
+        )
+        for function in functions
+    )
+
+
 class _AnthropicSSEDelta(TypedDict, total=False):
     type: ReadOnly[str]
     text: ReadOnly[str]
@@ -170,7 +194,7 @@ class AnthropicMessagesHandler(BaseTranslation):
     them through guardrail rewrites; downstream provider handling is out of scope.
     """
 
-    delivers_ended_stream_text_rewrites = True
+    delivers_ended_stream_rewrites = True
 
     def __init__(self):
         super().__init__()
@@ -1050,6 +1074,7 @@ class AnthropicMessagesHandler(BaseTranslation):
                     first_choice.message.tool_calls,
                 )
                 string_so_far = first_choice.message.content
+                pre_guardrail_tool_calls: Final = _tool_call_shapes(tool_calls_list or ())
                 guardrail_inputs: Final = GenericGuardrailAPIInputs()
                 if string_so_far:
                     guardrail_inputs["texts"] = [string_so_far]
@@ -1084,6 +1109,19 @@ class AnthropicMessagesHandler(BaseTranslation):
                     and guardrailed_texts[0] != string_so_far
                 ):
                     self._write_ended_stream_text_rewrite(responses_so_far, guardrailed_texts[0])
+                if deliver_ended_stream_rewrites:
+                    returned_tool_calls: Final = _guardrailed_inputs.get("tool_calls")
+                    self._write_ended_stream_tool_call_rewrites(
+                        responses_so_far,
+                        pre_guardrail_tool_calls=pre_guardrail_tool_calls,
+                        post_guardrail_tool_calls=_tool_call_shapes(
+                            returned_tool_calls
+                            if isinstance(returned_tool_calls, list)
+                            and len(returned_tool_calls) == len(pre_guardrail_tool_calls)
+                            else tool_calls_list or ()
+                        ),
+                        guardrail_name=guardrail_to_apply.guardrail_name or "unknown",
+                    )
             else:
                 verbose_proxy_logger.debug("Skipping output guardrail - model response has no choices")
             return responses_so_far
@@ -1212,38 +1250,120 @@ class AnthropicMessagesHandler(BaseTranslation):
         """Deliver an ended-stream guardrail text rewrite by rewriting the
         buffered chunks in place: the first ``text_delta`` carries the full
         rewritten text and every later one is blanked, leaving the surrounding
-        message and content-block framing untouched. Handles both chunk formats
-        this stream carries (parsed event dicts and raw SSE bytes)."""
+        message and content-block framing untouched."""
         replacements: Final = chain((rewritten_text,), repeat(""))
-        for idx, item in enumerate(responses_so_far):
-            if isinstance(item, dict):
-                delta = item.get("delta")
-                if item.get("type") == "content_block_delta" and isinstance(delta, dict):
-                    if delta.get("type") == "text_delta":
-                        delta["text"] = next(replacements)
-            elif isinstance(item, (bytes, bytearray)):
-                responses_so_far[idx] = (  # rebind-ok: delivers the rewrite into the caller's buffer
-                    AnthropicMessagesHandler._rewrite_sse_text_deltas(bytes(item), replacements)
-                )
+
+        def rewrite_text_delta(event: Mapping[str, object]) -> Mapping[str, object] | None:
+            delta: Final = event.get("delta")
+            if event.get("type") != "content_block_delta" or not isinstance(delta, Mapping):
+                return None
+            if delta.get("type") != "text_delta":
+                return None
+            return {**event, "delta": {**delta, "text": next(replacements)}}
+
+        AnthropicMessagesHandler._rewrite_ended_stream_events(responses_so_far, rewrite_text_delta)
+
+    @classmethod
+    def _write_ended_stream_tool_call_rewrites(
+        cls,
+        responses_so_far: list[Any],  # mutable-ok: rewrites the caller's buffered chunks in place
+        *,
+        pre_guardrail_tool_calls: tuple[_ToolCallShape, ...],
+        post_guardrail_tool_calls: tuple[_ToolCallShape, ...],
+        guardrail_name: str,
+    ) -> None:
+        """Deliver ended-stream guardrail tool-call rewrites by rewriting the
+        buffered chunks in place: the rebuilt response lists tool calls in the
+        order of the stream's ``tool_use`` blocks, so the nth rewritten call lands
+        on the nth block, its first ``input_json_delta`` carrying the full rewritten
+        arguments, every later one blanked, and ``content_block_start`` carrying the
+        rewritten name. Blocks that do not line up with the rebuilt tool calls make
+        the rewrite undeliverable, so the pipeline executor discards it and releases
+        the original chunks."""
+        if post_guardrail_tool_calls == pre_guardrail_tool_calls:
+            return
+        block_indices: Final = tuple(
+            index
+            for item in responses_so_far
+            for event in cls._iter_sse_events(item)
+            if event.get("type") == "content_block_start"
+            and isinstance(block := event.get("content_block"), Mapping)
+            and block.get("type") == "tool_use"
+            and isinstance(index := event.get("index"), int)
+        )
+        if len(block_indices) != len(post_guardrail_tool_calls):
+            from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+            raise UndeliverableStreamRewrite(guardrail_name)
+        rewrites_by_block: Final = MappingProxyType(
+            {
+                index: after
+                for index, before, after in zip(block_indices, pre_guardrail_tool_calls, post_guardrail_tool_calls)
+                if after != before
+            }
+        )
+        argument_replacements: Final = MappingProxyType(
+            {index: chain((rewrite.arguments,), repeat("")) for index, rewrite in rewrites_by_block.items()}
+        )
+
+        def rewrite_tool_use(event: Mapping[str, object]) -> Mapping[str, object] | None:
+            index: Final = event.get("index")
+            if not isinstance(index, int) or index not in rewrites_by_block:
+                return None
+            match event.get("type"):
+                case "content_block_start":
+                    block: Final = event.get("content_block")
+                    name: Final = rewrites_by_block[index].name
+                    if not isinstance(block, Mapping) or name is None:
+                        return None
+                    return {**event, "content_block": {**block, "name": name}}
+                case "content_block_delta":
+                    delta: Final = event.get("delta")
+                    if not isinstance(delta, Mapping) or delta.get("type") != "input_json_delta":
+                        return None
+                    return {**event, "delta": {**delta, "partial_json": next(argument_replacements[index])}}
+                case _:
+                    return None
+
+        cls._rewrite_ended_stream_events(responses_so_far, rewrite_tool_use)
 
     @staticmethod
-    def _rewrite_sse_text_deltas(sse_bytes: bytes, replacements: "Iterator[str]") -> bytes:
-        """Rewrite every ``text_delta`` data line in one SSE chunk with the next
-        replacement text, leaving all other events and framing byte-identical."""
+    def _rewrite_ended_stream_events(
+        responses_so_far: list[Any],  # mutable-ok: rewrites the caller's buffered chunks in place
+        rewrite_event: _SSEEventRewriter,
+    ) -> None:
+        """Replace every buffered event ``rewrite_event`` returns a rewrite for, in
+        both chunk formats this stream carries (parsed event dicts and raw SSE
+        bytes), leaving every other event and the framing untouched."""
+        rewritten_items: Final = tuple(
+            AnthropicMessagesHandler._rewrite_buffered_item(item, rewrite_event) for item in responses_so_far
+        )
+        responses_so_far[:] = rewritten_items  # rebind-ok: delivers the rewrites into the caller's buffer
+
+    @staticmethod
+    def _rewrite_buffered_item(item: object, rewrite_event: _SSEEventRewriter) -> object:
+        if isinstance(item, dict):
+            rewritten: Final = rewrite_event(_as_str_mapping(item))
+            return item if rewritten is None else dict(rewritten)
+        if isinstance(item, (bytes, bytearray)):
+            return AnthropicMessagesHandler._rewrite_sse_events(bytes(item), rewrite_event)
+        return item
+
+    @staticmethod
+    def _rewrite_sse_events(sse_bytes: bytes, rewrite_event: _SSEEventRewriter) -> bytes:
+        """Rewrite the data lines of one SSE chunk that ``rewrite_event`` rewrites,
+        leaving all other events and framing byte-identical."""
         try:
             decoded: Final = sse_bytes.decode("utf-8")
         except UnicodeDecodeError:
             return sse_bytes
         return "\n\n".join(
-            AnthropicMessagesHandler._rewrite_sse_block(block, replacements) for block in decoded.split("\n\n")
+            "\n".join(AnthropicMessagesHandler._rewrite_sse_line(line, rewrite_event) for line in block.split("\n"))
+            for block in decoded.split("\n\n")
         ).encode("utf-8")
 
     @staticmethod
-    def _rewrite_sse_block(block: str, replacements: "Iterator[str]") -> str:
-        return "\n".join(AnthropicMessagesHandler._rewrite_sse_line(line, replacements) for line in block.split("\n"))
-
-    @staticmethod
-    def _rewrite_sse_line(line: str, replacements: "Iterator[str]") -> str:
+    def _rewrite_sse_line(line: str, rewrite_event: _SSEEventRewriter) -> str:
         if not line.startswith("data:"):
             return line
         try:
@@ -1252,14 +1372,10 @@ class AnthropicMessagesHandler(BaseTranslation):
             )
         except json.JSONDecodeError:
             return line
-        if not isinstance(data, dict) or data.get("type") != "content_block_delta":
+        if not isinstance(data, dict):
             return line
-        delta: Final = data.get("delta")
-        if not isinstance(delta, dict) or delta.get("type") != "text_delta":
-            return line
-        return "data: " + json.dumps(
-            {**data, "delta": {**delta, "text": next(replacements)}}  # mutable-ok: json.dumps needs plain dicts
-        )
+        rewritten: Final = rewrite_event(_as_str_mapping(data))
+        return line if rewritten is None else "data: " + json.dumps(rewritten)
 
     def get_streaming_scan_key(self, responses_so_far: Sequence[object]) -> StreamingScanKey | None:
         stream_ended: Final = self._check_streaming_has_ended(responses_so_far)
diff --git a/litellm/llms/base_llm/guardrail_translation/base_translation.py b/litellm/llms/base_llm/guardrail_translation/base_translation.py
index afd8e0f67f7..6d1a9ab1c3e 100644
--- a/litellm/llms/base_llm/guardrail_translation/base_translation.py
+++ b/litellm/llms/base_llm/guardrail_translation/base_translation.py
@@ -52,13 +52,14 @@ class StreamingScanKey:
 
 
 class BaseTranslation(ABC):
-    delivers_ended_stream_text_rewrites: ClassVar[bool] = False
+    delivers_ended_stream_rewrites: ClassVar[bool] = False
     """Whether ``process_output_streaming_response`` accepts
     ``deliver_ended_stream_rewrites=True`` and, on an ended (fully buffered)
-    stream, writes guardrail text rewrites back across ``responses_so_far`` so
-    a buffered pipeline can release rewritten chunks. Tool-call rewrites, and
-    text rewrites on every other translation, are undeliverable: the pipeline
-    executor discards them and releases the original chunks."""
+    stream, writes guardrail text and tool-call rewrites back across
+    ``responses_so_far`` so a buffered pipeline can release rewritten chunks,
+    raising ``UndeliverableStreamRewrite`` for a shape it cannot place. Rewrites
+    on every other translation are undeliverable: the pipeline executor
+    discards them and releases the original chunks."""
 
     @staticmethod
     def transform_user_api_key_dict_to_metadata(
@@ -175,9 +176,9 @@ class BaseTranslation(ABC):
         transformations (see ``StreamTransformSink``); base handlers ignore it.
         ``deliver_ended_stream_rewrites`` is passed True only when the caller
         holds the whole buffered stream and the subclass declares
-        ``delivers_ended_stream_text_rewrites``: the handler then writes
-        guardrail text rewrites back across ``responses_so_far`` instead of
-        discarding them.
+        ``delivers_ended_stream_rewrites``: the handler then writes
+        guardrail text and tool-call rewrites back across ``responses_so_far``
+        instead of discarding them.
         """
         return responses_so_far
 
diff --git a/litellm/llms/openai/chat/guardrail_translation/handler.py b/litellm/llms/openai/chat/guardrail_translation/handler.py
index 80292aef2cf..42c95ac3316 100644
--- a/litellm/llms/openai/chat/guardrail_translation/handler.py
+++ b/litellm/llms/openai/chat/guardrail_translation/handler.py
@@ -49,6 +49,8 @@ from litellm.types.proxy.guardrails.guardrail_hooks.generic_guardrail_api import
     coerce_stream_holdback_value,
 )
 from litellm.types.utils import (
+    ChatCompletionDeltaToolCall,
+    ChatCompletionMessageToolCall,
     Choices,
     GenericGuardrailAPIInputs,
     ModelResponse,
@@ -78,7 +80,7 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
     Methods can be overridden to customize behavior for different message formats.
     """
 
-    delivers_ended_stream_text_rewrites = True
+    delivers_ended_stream_rewrites = True
 
     def get_structured_messages(self, data: dict) -> list[AllMessageValues] | None:
         """
@@ -610,13 +612,14 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
         deliver_ended_stream_rewrites: bool,
     ) -> None:
         """Ended-stream path: rebuild the full response, run the non-streaming
-        output guardrail against it, and (when opted in) write any text rewrite
-        back across the buffered chunks."""
+        output guardrail against it, and (when opted in) write any text or
+        tool-call rewrite back across the buffered chunks."""
         model_response: Final = cast(
             ModelResponse,
             stream_chunk_builder(chunks=responses_so_far, logging_obj=litellm_logging_obj),
         )
         pre_guardrail_texts: Final = self._string_choice_contents(model_response)
+        pre_guardrail_tool_calls: Final = self._function_tool_call_shapes(model_response)
         await self.process_output_response(
             response=model_response,
             guardrail_to_apply=guardrail_to_apply,
@@ -624,13 +627,21 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
             user_api_key_dict=user_api_key_dict,
             request_data=request_data,
         )
-        if deliver_ended_stream_rewrites:
-            await self._write_ended_stream_text_rewrites(
-                responses_so_far=responses_so_far,
-                guardrailed_response=model_response,
-                pre_guardrail_texts=pre_guardrail_texts,
-                guardrail_name=guardrail_to_apply.guardrail_name or "unknown",
-            )
+        if not deliver_ended_stream_rewrites:
+            return
+        guardrail_name: Final = guardrail_to_apply.guardrail_name or "unknown"
+        await self._write_ended_stream_text_rewrites(
+            responses_so_far=responses_so_far,
+            guardrailed_response=model_response,
+            pre_guardrail_texts=pre_guardrail_texts,
+            guardrail_name=guardrail_name,
+        )
+        self._write_ended_stream_tool_call_rewrites(
+            responses_so_far=responses_so_far,
+            guardrailed_response=model_response,
+            pre_guardrail_tool_calls=pre_guardrail_tool_calls,
+            guardrail_name=guardrail_name,
+        )
 
     def build_stream_error_items(
         self,
@@ -1043,6 +1054,71 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
             task_mappings=[(target_choice_index, None) for _ in changed],  # mutable-ok: callee takes lists
         )
 
+    @staticmethod
+    def _function_tool_call_shapes(response: "ModelResponse") -> tuple[tuple[str | None, str], ...]:
+        return tuple(
+            (tool_call.function.name, tool_call.function.arguments)
+            for choice in response.choices
+            for tool_call in choice.message.tool_calls or ()
+            if isinstance(tool_call, ChatCompletionMessageToolCall)
+        )
+
+    @staticmethod
+    def _function_tool_call_fragments(
+        responses_so_far: Sequence["ModelResponseStream"],
+    ) -> tuple[tuple[ChatCompletionDeltaToolCall, ...], ...]:
+        """Group the stream's function tool-call fragments by their tool-call index, in
+        the index order ``stream_chunk_builder`` lists the rebuilt tool calls, keeping
+        only the indices the builder keeps (an id and a name somewhere in the stream)."""
+        fragments: Final = tuple(
+            tool_call
+            for response in responses_so_far
+            for choice in response.choices
+            for tool_call in choice.delta.tool_calls or ()
+            if isinstance(tool_call, ChatCompletionDeltaToolCall)
+        )
+        identified: Final = frozenset(fragment.index for fragment in fragments if fragment.id)
+        named: Final = frozenset(fragment.index for fragment in fragments if fragment.function.name)
+        return tuple(
+            tuple(fragment for fragment in fragments if fragment.index == index) for index in sorted(identified & named)
+        )
+
+    def _write_ended_stream_tool_call_rewrites(
+        self,
+        responses_so_far: list["ModelResponseStream"],  # mutable-ok: rewrites the caller's buffered chunks in place
+        guardrailed_response: "ModelResponse",
+        pre_guardrail_tool_calls: tuple[tuple[str | None, str], ...],
+        guardrail_name: str,
+    ) -> None:
+        """Write ended-stream guardrail tool-call rewrites back across the buffered
+        chunks: the rewritten name and full arguments land in the tool call's first
+        fragment and the arguments of its later fragments are blanked, mirroring the
+        text write-back. A rewrite on a stream carrying more than one distinct choice
+        index, or whose fragments do not line up with the rebuilt tool calls, is
+        reported as undeliverable, so the pipeline executor discards it and releases
+        the original chunks."""
+        post_guardrail_tool_calls: Final = self._function_tool_call_shapes(guardrailed_response)
+        if post_guardrail_tool_calls == pre_guardrail_tool_calls:
+            return
+        stream_choice_indices: Final = frozenset(
+            choice.index for response in responses_so_far for choice in response.choices
+        )
+        fragments_by_tool_call: Final = self._function_tool_call_fragments(responses_so_far)
+        if len(stream_choice_indices) != 1 or len(fragments_by_tool_call) != len(post_guardrail_tool_calls):
+            from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+            raise UndeliverableStreamRewrite(guardrail_name)
+        for before, (name, arguments), fragments in zip(
+            pre_guardrail_tool_calls, post_guardrail_tool_calls, fragments_by_tool_call
+        ):
+            if (name, arguments) == before:
+                continue
+            head, *tail = fragments
+            head.function.name = name
+            head.function.arguments = arguments
+            for fragment in tail:
+                fragment.function.arguments = ""
+
     async def _apply_guardrail_responses_to_output_streaming(
         self,
         responses: list["ModelResponseStream"],
diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index b0f79552bc5..447870fc0be 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -101,6 +101,18 @@ if TYPE_CHECKING:
     from litellm.types.llms.openai import ResponseInputParam
 
 
+class _ToolCallShape(NamedTuple):
+    name: str | None
+    arguments: str
+
+
+def _tool_call_shapes(tool_calls: Sequence[ChatCompletionToolCallChunk]) -> tuple[_ToolCallShape, ...]:
+    return tuple(
+        _ToolCallShape(name=tool_call["function"].get("name"), arguments=tool_call["function"].get("arguments", ""))
+        for tool_call in tool_calls
+    )
+
+
 class ResponseOutputEnvelope(TypedDict, total=False):
     """Dict form of a Responses API response, as far as guardrail write-back reads it."""
 
@@ -340,7 +352,7 @@ class OpenAIResponsesHandler(BaseTranslation):
     Methods can be overridden to customize behavior for different message formats.
     """
 
-    delivers_ended_stream_text_rewrites = True
+    delivers_ended_stream_rewrites = True
 
     def get_structured_messages(self, data: dict) -> list[AllMessageValues] | None:
         """
@@ -754,6 +766,7 @@ class OpenAIResponsesHandler(BaseTranslation):
                 if response_model:
                     inputs["model"] = response_model
 
+                pre_guardrail_tool_calls: Final = _tool_call_shapes(tool_calls_to_check)
                 guardrailed_inputs: Final = await guardrail_to_apply.apply_guardrail(
                     inputs=inputs,
                     request_data=request_data,
@@ -762,6 +775,12 @@ class OpenAIResponsesHandler(BaseTranslation):
                 )
 
                 guardrailed_texts: Final = guardrailed_inputs.get("texts", [])
+                returned_tool_calls: Final = guardrailed_inputs.get("tool_calls")
+                post_guardrail_tool_calls: Final = _tool_call_shapes(
+                    returned_tool_calls
+                    if isinstance(returned_tool_calls, list) and len(returned_tool_calls) == len(tool_calls_to_check)
+                    else tool_calls_to_check
+                )
 
                 # Write guardrailed texts back into the output items in-place.
                 # final_chunk is a reference into responses_so_far so this
@@ -784,6 +803,13 @@ class OpenAIResponsesHandler(BaseTranslation):
                             stream_events=responses_so_far[:-1],
                             rewrites_by_position=rewrites_by_position,
                         )
+                    self._deliver_ended_stream_tool_call_rewrites(
+                        responses_so_far=responses_so_far,
+                        outputs=outputs,
+                        pre_guardrail_tool_calls=pre_guardrail_tool_calls,
+                        post_guardrail_tool_calls=post_guardrail_tool_calls,
+                        guardrail_name=guardrail_to_apply.guardrail_name or "unknown",
+                    )
                 return responses_so_far
 
         # ------------------------------------------------------------------ #
@@ -894,6 +920,89 @@ class OpenAIResponsesHandler(BaseTranslation):
                 continue
             OpenAIResponsesHandler._write_event_field(content[content_idx], "text", rewritten)
 
+    def _deliver_ended_stream_tool_call_rewrites(
+        self,
+        responses_so_far: Sequence[object],
+        outputs: Sequence[object],
+        pre_guardrail_tool_calls: tuple[_ToolCallShape, ...],
+        post_guardrail_tool_calls: tuple[_ToolCallShape, ...],
+        guardrail_name: str,
+    ) -> None:
+        """Write ended-stream guardrail tool-call rewrites into the completed
+        envelope's ``function_call`` items and sync the earlier stream events,
+        keyed by ``output_index``. The guardrail sees the envelope's function
+        calls in output order, which is how a rewritten call finds its item; a
+        rewrite whose calls do not line up with the envelope is reported as
+        undeliverable, so the pipeline executor discards it and releases the
+        original events."""
+        if post_guardrail_tool_calls == pre_guardrail_tool_calls:
+            return
+        function_call_indices: Final = tuple(
+            output_idx
+            for output_idx, output_item in enumerate(outputs)
+            if stream_item_field(output_item, "type") == "function_call"
+        )
+        if len(function_call_indices) != len(post_guardrail_tool_calls):
+            from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+            raise UndeliverableStreamRewrite(guardrail_name)
+        rewrites_by_output_index: Final = MappingProxyType(
+            {
+                output_idx: after
+                for output_idx, before, after in zip(
+                    function_call_indices, pre_guardrail_tool_calls, post_guardrail_tool_calls
+                )
+                if after != before
+            }
+        )
+        for output_idx, rewrite in rewrites_by_output_index.items():
+            self._write_function_call_item(outputs[output_idx], rewrite.name, rewrite.arguments)
+        self._sync_stream_events_with_tool_call_rewrites(
+            stream_events=responses_so_far[:-1],
+            rewrites_by_output_index=rewrites_by_output_index,
+        )
+
+    def _sync_stream_events_with_tool_call_rewrites(
+        self,
+        stream_events: Sequence[object],
+        rewrites_by_output_index: Mapping[int, _ToolCallShape],
+    ) -> None:
+        """Sync pre-completion function-call events with the rewritten completed
+        response: the first ``function_call_arguments.delta`` for a rewritten call
+        carries the full rewritten arguments and the rest are blanked, while
+        ``function_call_arguments.done`` and ``output_item.done`` carry the full
+        rewritten arguments and ``output_item.added`` / ``output_item.done`` the
+        rewritten name, so every event a client may read agrees with the
+        rewritten ``response.completed`` payload."""
+        delta_replacements: Final = MappingProxyType(
+            {index: chain((rewrite.arguments,), repeat("")) for index, rewrite in rewrites_by_output_index.items()}
+        )
+        for event in stream_events:
+            output_index = stream_item_field(event, "output_index")
+            if not isinstance(output_index, int) or output_index not in rewrites_by_output_index:
+                continue
+            rewrite = rewrites_by_output_index[output_index]
+            match stream_item_field(event, "type"):
+                case "response.function_call_arguments.delta":
+                    self._write_event_field(event, "delta", next(delta_replacements[output_index]))
+                case "response.function_call_arguments.done":
+                    self._write_event_field(event, "arguments", rewrite.arguments)
+                case "response.output_item.added":
+                    self._write_function_call_item(stream_item_field(event, "item"), rewrite.name, None)
+                case "response.output_item.done":
+                    self._write_function_call_item(stream_item_field(event, "item"), rewrite.name, rewrite.arguments)
+                case _:
+                    pass
+
+    @staticmethod
+    def _write_function_call_item(item: object, name: str | None, arguments: str | None) -> None:
+        if not (isinstance(item, dict) or hasattr(item, "get")):
+            return
+        if name is not None:
+            OpenAIResponsesHandler._write_event_field(item, "name", name)
+        if arguments is not None:
+            OpenAIResponsesHandler._write_event_field(item, "arguments", arguments)
+
     def _check_streaming_has_ended(self, responses_so_far: Sequence[object]) -> bool:
         """
         Check if the streaming has ended.
diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index 9bc10949e9f..3e112bf8e67 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -85,10 +85,10 @@ def _logged_by_inner_guardrail(method: _GuardrailMethodT) -> _GuardrailMethodT:
 class _StreamRewriteObserver(CustomGuardrail):
     """Stand-in handed to the endpoint translation in place of a streaming pipeline step's
     guardrail. It records whether the guardrail returned different output than it was given,
-    which for guardrails like Bedrock's ANONYMIZED action is only known at runtime. Text
-    rewrites are deliverable on translations that write them back across the buffered chunks
-    (``delivers_ended_stream_text_rewrites``); tool-call rewrites and text rewrites on any
-    other translation are discarded by the executor, which releases the original chunks.
+    which for guardrails like Bedrock's ANONYMIZED action is only known at runtime. Text and
+    tool-call rewrites are deliverable on translations that write them back across the
+    buffered chunks (``delivers_ended_stream_rewrites``); rewrites on any other translation
+    are discarded by the executor, which releases the original chunks.
     The inner guardrail's ``apply_guardrail`` already records the guardrail information
     and span, so the observer's stays out of ``log_guardrail_information``."""
 
@@ -290,13 +290,13 @@ class PipelineExecutor:
         litellm_logging_obj: "LiteLLMLoggingObj | None",
     ) -> None:
         """Run one streaming post_call step through the endpoint translation, delivering
-        text rewrites on translations that support ended-stream write-back. A rewrite that
-        cannot reach the client yet (a tool-call rewrite, a text rewrite on a translation
-        without write-back, or one the translation refused with
-        ``UndeliverableStreamRewrite``) is discarded: the buffered chunks go back to the
-        originals and the step passes, so the client gets the stream the merge base sent."""
+        text and tool-call rewrites on translations that support ended-stream write-back. A
+        rewrite that cannot reach the client yet (one on a translation without write-back, or
+        one the translation refused with ``UndeliverableStreamRewrite``) is discarded: the
+        buffered chunks go back to the originals and the step passes, so the client gets the
+        stream the merge base sent."""
         observer: Final = _StreamRewriteObserver(callback)
-        deliver_rewrites: Final = type(endpoint_translation).delivers_ended_stream_text_rewrites
+        deliver_rewrites: Final = type(endpoint_translation).delivers_ended_stream_rewrites
         originals: Final = copy.deepcopy(streaming_chunks)
         try:
             if deliver_rewrites:
@@ -319,7 +319,7 @@ class PipelineExecutor:
         except UndeliverableStreamRewrite:
             _release_original_chunks(step.guardrail, streaming_chunks, originals)
         else:
-            if observer.rewrote_tool_calls or (observer.rewrote_texts and not deliver_rewrites):
+            if not deliver_rewrites and (observer.rewrote_texts or observer.rewrote_tool_calls):
                 _release_original_chunks(step.guardrail, streaming_chunks, originals)
         if not callback.records_own_guardrail_information:
             add_guardrail_to_applied_guardrails_header(request_data=hook_input, guardrail_name=step.guardrail)
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 8b36061c6be..76b9b4b44ed 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -3445,11 +3445,11 @@ class ProxyLogging:
         assembled output through the endpoint guardrail translation, the same
         machinery flat post_call guardrails use at end of stream. An allow
         releases the buffered chunks: verbatim when no guardrail rewrote the
-        output, rewritten in place when one rewrote text and the translation
-        delivers ended-stream rewrites (later steps then re-scan the rewritten
-        chunks, so rewrites chain). A rewrite the translation cannot deliver
-        yet (a tool-call rewrite, or a text rewrite on a route without
-        write-back) is discarded by the executor and the original chunks are
+        output, rewritten in place when one rewrote text or a tool call and the
+        translation delivers ended-stream rewrites (later steps then re-scan the
+        rewritten chunks, so rewrites chain). A rewrite the translation cannot
+        deliver yet (one on a route without write-back, or a shape the route
+        refuses) is discarded by the executor and the original chunks are
         released, as is a buffered shape no translation resolves; a block or
         modify_response terminates with the translation's block chunks or the
         raised error.
diff --git a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
index bf40f781fa3..bd2dff9b33c 100644
--- a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
+++ b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
@@ -315,6 +315,72 @@ class TestAnthropicMessagesHandlerStreamingOutputProcessing:
         assert "event: message_start" in raw and "event: message_stop" in raw
         assert '"stop_reason": "end_turn"' in raw
 
+    @staticmethod
+    def _ended_tool_use_sse_chunks() -> list:
+        events = [
+            ("message_start", {"type": "message_start", "message": {"id": "msg_1", "type": "message", "role": "assistant", "model": "claude-sonnet-4-5", "content": [], "stop_reason": None, "usage": {"input_tokens": 1, "output_tokens": 0}}}),
+            ("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "tool_use", "id": "toolu_1", "name": "lookup_fruit", "input": {}}}),
+            ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "input_json_delta", "partial_json": ""}}),
+            ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "input_json_delta", "partial_json": '{"fruit": "persim'}}),
+            ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "input_json_delta", "partial_json": 'mon"}'}}),
+            ("content_block_stop", {"type": "content_block_stop", "index": 0}),
+            ("message_delta", {"type": "message_delta", "delta": {"stop_reason": "tool_use", "stop_sequence": None}, "usage": {"output_tokens": 2}}),
+            ("message_stop", {"type": "message_stop"}),
+        ]
+        return [f"event: {name}\ndata: {json.dumps(payload)}\n\n".encode() for name, payload in events]
+
+    @staticmethod
+    def _argument_masking_guardrail() -> CustomGuardrail:
+        class MaskArguments(CustomGuardrail):
+            async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+                for tool_call in inputs.get("tool_calls", []):
+                    tool_call.function.arguments = '{"fruit": "[MASKED]"}'
+                return inputs
+
+        return MaskArguments(guardrail_name="test")
+
+    @staticmethod
+    def _partial_jsons(chunks: list) -> list:
+        return [
+            json.loads(line[len("data:") :].strip())["delta"]["partial_json"]
+            for chunk in chunks
+            for line in chunk.decode().split("\n")
+            if line.startswith("data:") and json.loads(line[len("data:") :].strip()).get("type") == "content_block_delta"
+        ]
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_writes_tool_use_input_back_into_sse_chunks(self):
+        handler = AnthropicMessagesHandler()
+        chunks = self._ended_tool_use_sse_chunks()
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=self._argument_masking_guardrail(),
+            litellm_logging_obj=MagicMock(),
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is chunks
+        assert self._partial_jsons(chunks) == ['{"fruit": "[MASKED]"}', "", ""]
+        raw = b"".join(chunks).decode()
+        assert '"name": "lookup_fruit"' in raw and '"id": "toolu_1"' in raw
+        assert '"stop_reason": "tool_use"' in raw
+        assert "persim" not in raw
+
+    @pytest.mark.asyncio
+    async def test_ended_stream_tool_use_rewrite_leaves_chunks_untouched_by_default(self):
+        handler = AnthropicMessagesHandler()
+        chunks = self._ended_tool_use_sse_chunks()
+        original = [bytes(chunk) for chunk in chunks]
+
+        await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=self._argument_masking_guardrail(),
+            litellm_logging_obj=MagicMock(),
+        )
+
+        assert chunks == original
+
     @pytest.mark.asyncio
     async def test_ended_stream_rewrite_leaves_chunks_untouched_by_default(self):
         handler = AnthropicMessagesHandler()
diff --git a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
index aff0530ee8b..be168ec83e6 100644
--- a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
@@ -1113,6 +1113,79 @@ class TestOpenAIChatCompletionsHandlerStreamingOutput:
         assert chunks[1].choices[0].delta.content in (None, "")
         assert chunks[1].choices[0].finish_reason == "stop"
 
+    @staticmethod
+    def _ended_tool_call_stream_chunks() -> list:
+        from litellm.types.utils import (
+            ChatCompletionDeltaToolCall,
+            Delta,
+            Function,
+            ModelResponseStream,
+            StreamingChoices,
+        )
+
+        def chunk(tool_call: ChatCompletionDeltaToolCall | None, finish_reason: Optional[str] = None):
+            return ModelResponseStream(
+                id="chatcmpl-123",
+                created=1234567890,
+                model="gpt-4",
+                object="chat.completion.chunk",
+                choices=[
+                    StreamingChoices(
+                        index=0,
+                        delta=Delta(tool_calls=[tool_call] if tool_call else None),
+                        finish_reason=finish_reason,
+                    )
+                ],
+            )
+
+        def fragment(arguments: str, name: Optional[str] = None, call_id: Optional[str] = None):
+            return ChatCompletionDeltaToolCall(
+                id=call_id, index=0, type="function", function=Function(name=name, arguments=arguments)
+            )
+
+        return [
+            chunk(fragment("", name="lookup_fruit", call_id="call_1")),
+            chunk(fragment('{"fruit":')),
+            chunk(fragment(' "persimmon"}')),
+            chunk(None, finish_reason="tool_calls"),
+        ]
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_writes_tool_call_arguments_back_into_chunks(self):
+        handler = OpenAIChatCompletionsHandler()
+        guardrail = MockGuardrail(guardrail_name="test")
+        chunks = self._ended_tool_call_stream_chunks()
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=guardrail,
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is chunks
+        fragments = [chunk.choices[0].delta.tool_calls for chunk in chunks[:3]]
+        assert [fragment[0].function.arguments for fragment in fragments] == ['{"fruit": "PERSIMMON"}', "", ""]
+        assert fragments[0][0].function.name == "lookup_fruit"
+        assert fragments[0][0].id == "call_1"
+        assert chunks[3].choices[0].delta.tool_calls is None
+        assert chunks[3].choices[0].finish_reason == "tool_calls"
+
+    @pytest.mark.asyncio
+    async def test_ended_stream_tool_call_rewrite_leaves_chunks_untouched_by_default(self):
+        handler = OpenAIChatCompletionsHandler()
+        guardrail = MockGuardrail(guardrail_name="test")
+        chunks = self._ended_tool_call_stream_chunks()
+
+        await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=guardrail,
+            litellm_logging_obj=None,
+        )
+
+        fragments = [chunk.choices[0].delta.tool_calls for chunk in chunks[:3]]
+        assert [fragment[0].function.arguments for fragment in fragments] == ["", '{"fruit":', ' "persimmon"}']
+
     @pytest.mark.asyncio
     async def test_ended_stream_rewrite_leaves_chunks_untouched_by_default(self):
         handler = OpenAIChatCompletionsHandler()
diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
index 33c8c97fea7..a024fc7ff81 100644
--- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -1195,6 +1195,94 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
         assert events[4]["item"]["content"][0]["text"] == "hello [MASKED]"
         assert events[5]["response"]["output"][0]["content"][0]["text"] == "hello [MASKED]"
 
+    @staticmethod
+    def _ended_function_call_stream_events() -> List[dict]:
+        def item(arguments: str, status: str) -> dict:
+            return {
+                "type": "function_call",
+                "id": "fc_123",
+                "call_id": "call_123",
+                "name": "lookup_fruit",
+                "arguments": arguments,
+                "status": status,
+            }
+
+        return [
+            {"type": "response.output_item.added", "output_index": 0, "item": item("", "in_progress")},
+            {"type": "response.function_call_arguments.delta", "item_id": "fc_123", "output_index": 0, "delta": '{"fruit":'},
+            {"type": "response.function_call_arguments.delta", "item_id": "fc_123", "output_index": 0, "delta": ' "persimmon"}'},
+            {
+                "type": "response.function_call_arguments.done",
+                "item_id": "fc_123",
+                "output_index": 0,
+                "arguments": '{"fruit": "persimmon"}',
+            },
+            {"type": "response.output_item.done", "output_index": 0, "item": item('{"fruit": "persimmon"}', "completed")},
+            {
+                "type": "response.completed",
+                "response": {
+                    "id": "resp_123",
+                    "model": "gpt-4o",
+                    "output": [item('{"fruit": "persimmon"}', "completed")],
+                    "status": "completed",
+                },
+            },
+        ]
+
+    @staticmethod
+    def _argument_masking_guardrail() -> CustomGuardrail:
+        class MaskArguments(CustomGuardrail):
+            async def apply_guardrail(
+                self,
+                inputs: GenericGuardrailAPIInputs,
+                request_data: dict,
+                input_type: Literal["request", "response"],
+                logging_obj: Optional[Any] = None,
+            ) -> GenericGuardrailAPIInputs:
+                tool_calls = [
+                    {**tool_call, "function": {**tool_call["function"], "arguments": '{"fruit": "[MASKED]"}'}}
+                    for tool_call in inputs.get("tool_calls", [])
+                ]
+                return {**inputs, "tool_calls": tool_calls}
+
+        return MaskArguments(guardrail_name="test-mask-arguments")
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_syncs_function_call_events(self):
+        handler = OpenAIResponsesHandler()
+        events = self._ended_function_call_stream_events()
+
+        result = await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=self._argument_masking_guardrail(),
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert result is events
+        assert events[0]["item"]["arguments"] == ""
+        assert events[1]["delta"] == '{"fruit": "[MASKED]"}'
+        assert events[2]["delta"] == ""
+        assert events[3]["arguments"] == '{"fruit": "[MASKED]"}'
+        assert events[4]["item"]["arguments"] == '{"fruit": "[MASKED]"}'
+        assert events[5]["response"]["output"][0]["arguments"] == '{"fruit": "[MASKED]"}'
+        assert events[5]["response"]["output"][0]["name"] == "lookup_fruit"
+
+    @pytest.mark.asyncio
+    async def test_ended_stream_function_call_rewrite_leaves_events_untouched_by_default(self):
+        handler = OpenAIResponsesHandler()
+        events = self._ended_function_call_stream_events()
+
+        await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=self._argument_masking_guardrail(),
+            litellm_logging_obj=None,
+        )
+
+        assert events[1]["delta"] == '{"fruit":'
+        assert events[3]["arguments"] == '{"fruit": "persimmon"}'
+        assert events[5]["response"]["output"][0]["arguments"] == '{"fruit": "persimmon"}'
+
     @pytest.mark.asyncio
     @pytest.mark.parametrize("terminal_type", ["response.incomplete", "response.failed"])
     async def test_deliver_ended_stream_rewrites_syncs_non_completed_terminals(self, terminal_type):
diff --git a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
index 54ef1f79f4d..ee75003db9f 100644
--- a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
+++ b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
@@ -924,7 +924,7 @@ class _TextReturningGuardrail(CustomGuardrail):
 
 
 class _TextTranslation:
-    delivers_ended_stream_text_rewrites = False
+    delivers_ended_stream_rewrites = False
 
     def __init__(self):
         self.seen_guardrail_names = []
@@ -946,7 +946,7 @@ class _WritingTranslation:
     """Writes the guardrail's text (and tool-call) outputs back into the buffered chunks the way the
     chat/Responses/Messages handlers do on an ended stream."""
 
-    delivers_ended_stream_text_rewrites = True
+    delivers_ended_stream_rewrites = True
 
     async def process_output_streaming_response(
         self,
@@ -970,7 +970,7 @@ class _WritingTranslation:
 
 
 class _RefusingTranslation:
-    delivers_ended_stream_text_rewrites = True
+    delivers_ended_stream_rewrites = True
 
     async def process_output_streaming_response(
         self,
@@ -1088,13 +1088,27 @@ async def test_streaming_step_delivers_text_rewrite_through_writing_translation(
 
 
 @pytest.mark.asyncio
-async def test_streaming_step_discards_tool_call_rewrite_and_restores_written_text(monkeypatch, caplog):
+async def test_streaming_step_delivers_tool_call_rewrite_through_writing_translation(monkeypatch, caplog):
     monkeypatch.setattr(litellm, "callbacks", [_TextAndToolCallRewritingGuardrail(rewrite_tool_call=True)])
     chunks = [_chunk()]
 
     with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
         result = await _run_streaming_step(_WritingTranslation(), chunks)
 
+    assert result.terminal_action == "allow"
+    assert chunks[0]["text"] == "hello [MASKED]"
+    assert chunks[0]["tool_call"]["function"]["arguments"] == '{"ssn": "[MASKED]"}'
+    assert not any("discarded" in record.getMessage() for record in caplog.records)
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_discards_tool_call_rewrite_when_translation_lacks_write_back(monkeypatch, caplog):
+    monkeypatch.setattr(litellm, "callbacks", [_TextAndToolCallRewritingGuardrail(rewrite_tool_call=True)])
+    chunks = [_chunk()]
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await _run_streaming_step(_TextTranslation(), chunks)
+
     _assert_passed_with_discard_warning(result, caplog)
     assert chunks == [_chunk()]
 
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 73dd6746b29..d27f504ba6d 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1836,7 +1836,7 @@ def _echoed_tool_call_dicts(arguments: str) -> List[Dict[str, Any]]:
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize("on_fail, on_error", [("block", None), ("next", "next")])
-async def test_streaming_iterator_hook_pipeline_releases_originals_on_runtime_tool_call_rewrite(
+async def test_streaming_iterator_hook_pipeline_delivers_runtime_tool_call_rewrite(
     proxy_logging, make_user_api_key_auth, monkeypatch, on_fail, on_error, caplog
 ):
     transform = lambda inputs: {"tool_calls": _echoed_tool_call_dicts('{"ssn": "[MASKED]"}')}  # noqa: E731
@@ -1855,9 +1855,12 @@ async def test_streaming_iterator_hook_pipeline_releases_originals_on_runtime_to
             delivered.append(item)
 
     assert len(delivered) == 2
-    assert delivered[0].choices[0].delta.tool_calls[0].function.arguments == '{"ssn": "123"}'
+    delivered_tool_call = delivered[0].choices[0].delta.tool_calls[0]
+    assert delivered_tool_call.function.arguments == '{"ssn": "[MASKED]"}'
+    assert delivered_tool_call.function.name == "lookup"
+    assert delivered_tool_call.id == "call_1"
     assert delivered[1].choices[0].finish_reason == "tool_calls"
-    assert any("'gr-post'" in message and "discarded" in message for message in _warnings(caplog))
+    assert not any("discarded" in message for message in _warnings(caplog))
 
 
 @pytest.mark.asyncio

From e65c56876f9aae1f94120212a2092592792f6538 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 11:42:51 -0700
Subject: [PATCH 093/223] fix(guardrails): write tool-call rewrites into typed
 Responses envelopes

The response.completed envelope carries its function_call output items as
SDK objects without a get shim, so the write-back skipped them and the
envelope still showed the original arguments after every stream event had
been rewritten. Write the item whenever one is present, and cover the typed
event shape the live proxy carries in the handler test.
---
 .../guardrail_translation/handler.py          |  2 +-
 ...test_openai_responses_guardrail_handler.py | 46 +++++++++++++++++++
 2 files changed, 47 insertions(+), 1 deletion(-)

diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index 447870fc0be..208ceb959e6 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -996,7 +996,7 @@ class OpenAIResponsesHandler(BaseTranslation):
 
     @staticmethod
     def _write_function_call_item(item: object, name: str | None, arguments: str | None) -> None:
-        if not (isinstance(item, dict) or hasattr(item, "get")):
+        if item is None:
             return
         if name is not None:
             OpenAIResponsesHandler._write_event_field(item, "name", name)
diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
index a024fc7ff81..bdf7f83757c 100644
--- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -1222,6 +1222,7 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
                 "type": "response.completed",
                 "response": {
                     "id": "resp_123",
+                    "created_at": 1,
                     "model": "gpt-4o",
                     "output": [item('{"fruit": "persimmon"}', "completed")],
                     "status": "completed",
@@ -1268,6 +1269,51 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
         assert events[5]["response"]["output"][0]["arguments"] == '{"fruit": "[MASKED]"}'
         assert events[5]["response"]["output"][0]["name"] == "lookup_fruit"
 
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_syncs_typed_function_call_events(self):
+        from litellm.types.llms.openai import (
+            FunctionCallArgumentsDeltaEvent,
+            FunctionCallArgumentsDoneEvent,
+            OutputItemAddedEvent,
+            OutputItemDoneEvent,
+            ResponseCompletedEvent,
+            ResponsesAPIResponse,
+        )
+
+        handler = OpenAIResponsesHandler()
+        typed_events: List[Any] = [
+            model.model_validate(event)
+            for model, event in zip(
+                (
+                    OutputItemAddedEvent,
+                    FunctionCallArgumentsDeltaEvent,
+                    FunctionCallArgumentsDeltaEvent,
+                    FunctionCallArgumentsDoneEvent,
+                    OutputItemDoneEvent,
+                    ResponseCompletedEvent,
+                ),
+                self._ended_function_call_stream_events(),
+            )
+        ]
+        completed_event = typed_events[5]
+        assert isinstance(completed_event, ResponseCompletedEvent)
+        assert isinstance(completed_event.response, ResponsesAPIResponse)
+        assert isinstance(completed_event.response.output[0], ResponseFunctionToolCall)
+
+        await handler.process_output_streaming_response(
+            responses_so_far=typed_events,
+            guardrail_to_apply=self._argument_masking_guardrail(),
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert typed_events[1].delta == '{"fruit": "[MASKED]"}'
+        assert typed_events[2].delta == ""
+        assert typed_events[3].arguments == '{"fruit": "[MASKED]"}'
+        assert typed_events[4].item.arguments == '{"fruit": "[MASKED]"}'
+        assert completed_event.response.output[0].arguments == '{"fruit": "[MASKED]"}'
+        assert completed_event.response.output[0].name == "lookup_fruit"
+
     @pytest.mark.asyncio
     async def test_ended_stream_function_call_rewrite_leaves_events_untouched_by_default(self):
         handler = OpenAIResponsesHandler()

From 3448175184d8b68dbcf9ec007d62f85651bb0f41 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 11:44:49 -0700
Subject: [PATCH 094/223] fix(responses bridge): keep mid-conversation system
 messages in input

Only the leading run of system messages (before the first non-system
message) is joined into the Responses `instructions` field. A system
message that arrives after a user, assistant, or tool turn now becomes a
system input item at its position, whether its content is a string or a
list, so a client that re-sends the same reminder as a string on the
next request produces byte-identical input and `instructions` stays
stable. Claude Code >= 2.1.237 appends such reminders after every user
turn, and folding them into `instructions` made Azure treat every
request as a cold prompt (cached_tokens 0 on every request of a
session).

Fixes #40198
---
 .../transformation.py                         |   9 +-
 ...responses_transformation_transformation.py | 140 ++++++++++++++++++
 2 files changed, 147 insertions(+), 2 deletions(-)

diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py
index 87350b5479c..4fe069b0b7d 100644
--- a/litellm/completion_extras/litellm_responses_transformation/transformation.py
+++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py
@@ -370,7 +370,12 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
             and isinstance(tool_call.get("custom"), dict)
         )
 
-        for msg in messages:
+        leading_system_count: Final = next(
+            (index for index, msg in enumerate(messages) if msg.get("role") != "system"),
+            len(messages),
+        )
+
+        for index, msg in enumerate(messages):
             role = msg.get("role")
             content = msg.get("content", "")
             tool_calls = msg.get("tool_calls")
@@ -378,7 +383,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
 
             if role == "system":
                 # Extract system message as instructions
-                if isinstance(content, str):
+                if isinstance(content, str) and index < leading_system_count:
                     if instructions:
                         # Concatenate multiple system prompts with a space
                         instructions = f"{instructions} {content}"
diff --git a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
index d4d47b145d1..e4ada0a9b31 100644
--- a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
+++ b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py
@@ -4147,3 +4147,143 @@ def test_streaming_final_chunk_carries_provider_metadata():
     assert chunks[-1]["content_filters"] == content_filters
     assert "background" not in chunks[-1]
     assert all("service_tier" not in chunk for chunk in chunks[:-1])
+
+
+def _system_input_item(text: str) -> dict[str, object]:
+    return {"type": "message", "role": "system", "content": [{"type": "input_text", "text": text}]}
+
+
+def test_mid_conversation_system_string_stays_in_input_after_a_user_turn():
+    handler: Final = LiteLLMResponsesTransformationHandler()
+
+    input_items, instructions = handler.convert_chat_completion_messages_to_responses_api(
+        [
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": "Read the file."},
+            {"role": "system", "content": "<total_tokens>14982391 tokens left</total_tokens>"},
+            {"role": "user", "content": "Now summarize it."},
+        ]
+    )
+
+    assert instructions == "You are a helpful assistant."
+    assert input_items == [
+        {"type": "message", "role": "user", "content": [{"type": "input_text", "text": "Read the file."}]},
+        _system_input_item("<total_tokens>14982391 tokens left</total_tokens>"),
+        {"type": "message", "role": "user", "content": [{"type": "input_text", "text": "Now summarize it."}]},
+    ]
+
+
+def test_leading_system_strings_still_join_instructions_without_a_following_turn():
+    handler: Final = LiteLLMResponsesTransformationHandler()
+
+    input_items, instructions = handler.convert_chat_completion_messages_to_responses_api(
+        [
+            {"role": "system", "content": "Be brief."},
+            {"role": "system", "content": "Answer in French."},
+        ]
+    )
+
+    assert instructions == "Be brief. Answer in French."
+    assert input_items == []
+
+
+def test_mid_conversation_system_reminder_as_string_and_as_text_block_produce_identical_input_items():
+    handler: Final = LiteLLMResponsesTransformationHandler()
+    reminder: Final = "<total_tokens>14982391 tokens left</total_tokens>"
+
+    as_string, string_instructions = handler.convert_chat_completion_messages_to_responses_api(
+        [{"role": "user", "content": "Read the file."}, {"role": "system", "content": reminder}]
+    )
+    as_block, block_instructions = handler.convert_chat_completion_messages_to_responses_api(
+        [
+            {"role": "user", "content": "Read the file."},
+            {
+                "role": "system",
+                "content": [{"type": "text", "text": reminder, "cache_control": {"type": "ephemeral"}}],
+            },
+        ]
+    )
+
+    assert string_instructions is None
+    assert block_instructions is None
+    assert json.dumps(as_string) == json.dumps(as_block)
+    assert as_string[1] == _system_input_item(reminder)
+
+
+def test_claude_code_shaped_history_keeps_a_byte_stable_input_prefix_across_requests():
+    handler: Final = LiteLLMResponsesTransformationHandler()
+    top_level_system: Final = [{"type": "text", "text": "You are Claude Code.", "cache_control": {"type": "ephemeral"}}]
+    first_reminder: Final = "<system-reminder>27k chars of deferred tools</system-reminder>"
+    second_reminder: Final = "<total_tokens>14982391 tokens left</total_tokens>"
+    first_request_messages: Final = [
+        {"role": "system", "content": top_level_system},
+        {"role": "user", "content": "Read inventory.py."},
+        {
+            "role": "system",
+            "content": [{"type": "text", "text": first_reminder, "cache_control": {"type": "ephemeral"}}],
+        },
+    ]
+    second_request_messages: Final = [
+        {"role": "system", "content": top_level_system},
+        {"role": "user", "content": "Read inventory.py."},
+        {"role": "system", "content": first_reminder},
+        {
+            "role": "assistant",
+            "content": None,
+            "tool_calls": [
+                {
+                    "id": "call_1",
+                    "type": "function",
+                    "function": {"name": "Read", "arguments": '{"file_path": "inventory.py"}'},
+                }
+            ],
+        },
+        {"role": "tool", "tool_call_id": "call_1", "content": "ITEMS = []"},
+        {
+            "role": "system",
+            "content": [{"type": "text", "text": second_reminder, "cache_control": {"type": "ephemeral"}}],
+        },
+    ]
+
+    first_request: Final = handler.transform_request(
+        model="gpt-5.6-luna",
+        messages=first_request_messages,
+        optional_params={},
+        litellm_params={},
+        headers={},
+        litellm_logging_obj=Mock(),
+    )
+    second_request: Final = handler.transform_request(
+        model="gpt-5.6-luna",
+        messages=second_request_messages,
+        optional_params={},
+        litellm_params={},
+        headers={},
+        litellm_logging_obj=Mock(),
+    )
+
+    assert "instructions" not in first_request
+    assert "instructions" not in second_request
+    assert first_request["input"][0] == _system_input_item("You are Claude Code.")
+    assert json.dumps(second_request["input"][: len(first_request["input"])]) == json.dumps(first_request["input"])
+    assert second_request["input"][len(first_request["input"]) :] == [
+        {"type": "function_call", "call_id": "call_1", "name": "Read", "arguments": '{"file_path": "inventory.py"}'},
+        {"type": "function_call_output", "call_id": "call_1", "output": [{"type": "input_text", "text": "ITEMS = []"}]},
+        _system_input_item(second_reminder),
+    ]
+
+
+def test_system_string_after_a_developer_message_stays_in_input_in_client_order():
+    handler: Final = LiteLLMResponsesTransformationHandler()
+
+    input_items, instructions = handler.convert_chat_completion_messages_to_responses_api(
+        [
+            {"role": "developer", "content": "Always answer in French."},
+            {"role": "system", "content": "Be brief."},
+            {"role": "user", "content": "Bonjour"},
+        ]
+    )
+
+    assert instructions is None
+    assert [item["role"] for item in input_items] == ["developer", "system", "user"]
+    assert input_items[1] == _system_input_item("Be brief.")

From 4807630c2ab1ab04f3b51c9ef78a5361d78af11d Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 11:48:01 -0700
Subject: [PATCH 095/223] fix(fireworks_ai): keep non-text system and developer
 parts on the folded leading system message

---
 .../fireworks_ai/responses/transformation.py  | 36 ++++++++++++++-----
 ...t_fireworks_ai_responses_transformation.py | 34 ++++++++++++++++++
 2 files changed, 62 insertions(+), 8 deletions(-)

diff --git a/litellm/llms/fireworks_ai/responses/transformation.py b/litellm/llms/fireworks_ai/responses/transformation.py
index 61ef0731900..660a07181ff 100644
--- a/litellm/llms/fireworks_ai/responses/transformation.py
+++ b/litellm/llms/fireworks_ai/responses/transformation.py
@@ -4,7 +4,12 @@ from typing import TYPE_CHECKING, Final
 from urllib.parse import unquote
 
 import httpx
-from openai.types.responses import EasyInputMessageParam, ResponseInputItemParam
+from openai.types.responses import (
+    EasyInputMessageParam,
+    ResponseInputContentParam,
+    ResponseInputItemParam,
+    ResponseInputTextParam,
+)
 from pydantic import TypeAdapter
 
 from litellm.llms.fireworks_ai.common_utils import (
@@ -35,27 +40,42 @@ def _session_params(litellm_params: GenericLiteLLMParams) -> Mapping[str, object
 _instructions_adapter: Final = TypeAdapter[str | None](str | None)
 
 
-def _instruction_text(item: ResponseInputItemParam) -> str | None:
+def _instruction_parts(item: ResponseInputItemParam) -> tuple[ResponseInputContentParam, ...] | None:
     if "role" not in item or (item["role"] != "system" and item["role"] != "developer"):
         return None
     content: Final = item["content"]
     if isinstance(content, str):
-        return content
-    return "\n\n".join(part["text"] for part in content if part["type"] == "input_text")
+        return (ResponseInputTextParam(type="input_text", text=content),)
+    return tuple(content)
+
+
+def _leading_system_content(
+    instructions: str | None, parts: tuple[ResponseInputContentParam, ...]
+) -> str | list[ResponseInputContentParam]:
+    text: Final = "\n\n".join(
+        chunk for chunk in (instructions, *(part["text"] for part in parts if part["type"] == "input_text")) if chunk
+    )
+    non_text: Final = tuple(part for part in parts if part["type"] != "input_text")
+    if not non_text:
+        return text
+    return [ResponseInputTextParam(type="input_text", text=text), *non_text] if text else list(non_text)
 
 
 def _with_single_leading_system_item(
     input: str | ResponseInputParam, instructions: str | None
 ) -> str | ResponseInputParam:
     items: Final = () if isinstance(input, str) else tuple(input)
-    instruction_texts: Final = tuple(text for text in (instructions, *map(_instruction_text, items)) if text)
-    if not instruction_texts:
+    instruction_parts: Final = tuple(
+        part for item_parts in map(_instruction_parts, items) if item_parts is not None for part in item_parts
+    )
+    content: Final = _leading_system_content(instructions, instruction_parts)
+    if not content:
         return input
-    leading: Final = EasyInputMessageParam(role="system", content="\n\n".join(instruction_texts), type="message")
+    leading: Final = EasyInputMessageParam(role="system", content=content, type="message")
     rest: Final = (
         (EasyInputMessageParam(role="user", content=input),)
         if isinstance(input, str)
-        else tuple(item for item in items if _instruction_text(item) is None)
+        else tuple(item for item in items if _instruction_parts(item) is None)
     )
     return [leading, *rest]
 
diff --git a/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py b/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
index 3462e041a19..9d947b25d69 100644
--- a/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
+++ b/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
@@ -231,6 +231,40 @@ def test_responses_call_folds_instructions_and_developer_item_into_one_leading_s
     )
 
 
+def test_responses_call_keeps_non_text_developer_parts_on_the_leading_system_message() -> None:
+    client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b"))
+    with patch(HTTPX_CLIENT_FACTORY, return_value=client):
+        litellm.responses(
+            model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b",
+            instructions="Answer with one word.",
+            input=[  # mutable-ok: the Responses API takes input as a JSON list
+                {
+                    "role": "developer",
+                    "content": [
+                        {"type": "input_text", "text": "Match the style of this reference image."},
+                        {"type": "input_image", "image_url": "data:image/png;base64,iVBORw0KGgo=", "detail": "auto"},
+                    ],
+                },
+                {"role": "user", "content": "What is the capital of France?"},
+            ],
+            store=False,
+            api_key="fw-test-key",
+        )
+    _, _, body = _sent_request(client)
+    assert "instructions" not in body
+    assert tuple(body["input"]) == (
+        {
+            "role": "system",
+            "content": [
+                {"type": "input_text", "text": "Answer with one word.\n\nMatch the style of this reference image."},
+                {"type": "input_image", "image_url": "data:image/png;base64,iVBORw0KGgo=", "detail": "auto"},
+            ],
+            "type": "message",
+        },
+        {"role": "user", "content": "What is the capital of France?"},
+    )
+
+
 def test_responses_call_turns_string_input_with_instructions_into_system_then_user_messages() -> None:
     client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3"))
     with patch(HTTPX_CLIENT_FACTORY, return_value=client):

From 3caa3b60d5a319efa78871198081783dd4c70ad1 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 11:58:18 -0700
Subject: [PATCH 096/223] feat(guardrails): run post_call policy pipelines on
 background Responses retrieval

A POST /v1/responses with background: true returns a queued response, so the
post_call pipelines attached at submit time had nothing to inspect. They now
defer on queued and in_progress responses and run on GET /v1/responses/{id}
instead: the retrieval resolves the response id back to its deployment,
re-attaches the policies that governed the original model, and reports them
in the x-litellm-applied-* headers of the retrieval response.
---
 litellm/proxy/common_request_processing.py    |   8 +-
 .../proxy/policy_engine/response_retrieval.py | 116 +++++++++++++
 litellm/proxy/utils.py                        |  43 +++--
 .../policy_engine/test_response_retrieval.py  | 157 ++++++++++++++++++
 .../proxy/test_common_request_processing.py   | 109 ++++++++++++
 .../proxy_logging/test_guardrail_pipeline.py  |  95 +++++++----
 6 files changed, 485 insertions(+), 43 deletions(-)
 create mode 100644 litellm/proxy/policy_engine/response_retrieval.py
 create mode 100644 tests/test_litellm/proxy/policy_engine/test_response_retrieval.py

diff --git a/litellm/proxy/common_request_processing.py b/litellm/proxy/common_request_processing.py
index 9720e4b1cf8..1c1eda73c0c 100644
--- a/litellm/proxy/common_request_processing.py
+++ b/litellm/proxy/common_request_processing.py
@@ -184,6 +184,7 @@ from litellm.proxy.litellm_pre_call_utils import (
     refresh_proxy_server_request_body_snapshot,
     reject_url_valued_destination,
 )
+from litellm.proxy.policy_engine.response_retrieval import attach_post_call_pipelines_to_retrieval
 from litellm.types.utils import (
     ModelResponse,
     ModelResponseStream,
@@ -1883,7 +1884,6 @@ class ProxyBaseLLMRequestProcessing:
                 data=self.data,
                 user_api_key_dict=user_api_key_dict,
             )
-
         # Calculate request queue time after add_litellm_data_to_request
         # which sets arrival_time in proxy_server_request. Ends at start_time
         # (not a freshly captured time.time() here) so this window is exactly
@@ -2031,6 +2031,12 @@ class ProxyBaseLLMRequestProcessing:
             data=self.data,
             call_type=route_type,
         )
+        if route_type == "aget_responses":
+            attach_post_call_pipelines_to_retrieval(
+                data=self.data,
+                user_api_key_dict=user_api_key_dict,
+                llm_router=llm_router,
+            )
 
         # Refresh AFTER pre_call_hook: guardrails (e.g. Presidio PII masking) may
         # have mutated `self.data` in place, and the audit-trail snapshot taken in
diff --git a/litellm/proxy/policy_engine/response_retrieval.py b/litellm/proxy/policy_engine/response_retrieval.py
new file mode 100644
index 00000000000..54b9acf6150
--- /dev/null
+++ b/litellm/proxy/policy_engine/response_retrieval.py
@@ -0,0 +1,116 @@
+from collections.abc import Mapping
+from types import MappingProxyType
+from typing import TYPE_CHECKING, Final, TypeAlias
+
+from pydantic import TypeAdapter
+
+from litellm._logging import verbose_proxy_logger
+from litellm.litellm_core_utils.core_helpers import get_or_create_metadata_bucket
+from litellm.proxy.common_utils.callback_utils import (
+    add_guardrail_to_applied_guardrails_header,
+    add_policy_sources_to_metadata,
+    add_policy_to_applied_policies_header,
+)
+from litellm.proxy.common_utils.http_parsing_utils import get_tags_from_request_body
+from litellm.proxy.policy_engine.attachment_registry import get_attachment_registry
+from litellm.proxy.policy_engine.policy_matcher import PolicyMatcher
+from litellm.proxy.policy_engine.policy_registry import get_policy_registry
+from litellm.proxy.policy_engine.policy_resolver import PolicyResolver
+from litellm.responses.utils import ResponsesAPIRequestUtils
+from litellm.types.proxy.policy_engine import PolicyMatchContext
+from litellm.types.proxy.policy_engine.pipeline_types import GuardrailPipeline
+
+if TYPE_CHECKING:
+    from litellm.proxy._types import UserAPIKeyAuth
+    from litellm.router import Router
+
+PolicyPipelines: TypeAlias = tuple[tuple[str, GuardrailPipeline], ...]
+
+_POLICY_PIPELINES_ADAPTER: Final = TypeAdapter(PolicyPipelines)
+
+
+def _model_group_for_response_id(response_id: object, llm_router: "Router | None") -> str | None:
+    if llm_router is None or not isinstance(response_id, str):
+        return None
+    model_id: Final = ResponsesAPIRequestUtils.get_model_id_from_response_id(response_id)
+    if model_id is None:
+        return None
+    deployment: Final = llm_router.get_deployment(model_id)
+    return deployment.model_name if deployment is not None else None
+
+
+def _retrieval_context(
+    data: Mapping[str, object], user_api_key_dict: "UserAPIKeyAuth", model_group: str
+) -> PolicyMatchContext:
+    team_alias: Final = user_api_key_dict.team_alias
+    key_alias: Final = user_api_key_dict.key_alias
+    return PolicyMatchContext(
+        team_alias=team_alias if isinstance(team_alias, str) else None,
+        key_alias=key_alias if isinstance(key_alias, str) else None,
+        model=model_group,
+        tags=get_tags_from_request_body(data) or None,
+    )
+
+
+def _post_call_pipelines_for_context(context: PolicyMatchContext) -> tuple[PolicyPipelines, Mapping[str, str]]:
+    matches: Final = get_attachment_registry().get_attached_policies_with_reasons(context)
+    if not matches:
+        return (), MappingProxyType({})
+    applied_policy_names: Final = PolicyMatcher.get_policies_with_matching_conditions(
+        policy_names=[match["policy_name"] for match in matches],  # mutable-ok: the matcher takes a list
+        context=context,
+    )
+    post_call_pipelines: Final = tuple(
+        (policy_name, pipeline)
+        for policy_name, pipeline in PolicyResolver.resolve_pipelines_for_context(
+            context=context, policy_names=applied_policy_names
+        )
+        if pipeline.mode == "post_call"
+    )
+    return post_call_pipelines, MappingProxyType({match["policy_name"]: match["matched_via"] for match in matches})
+
+
+def attach_post_call_pipelines_to_retrieval(
+    data: dict,  # mutable-ok: the proxy's request-state dict, written in place like every other policy engine hook
+    user_api_key_dict: "UserAPIKeyAuth",
+    llm_router: "Router | None",
+) -> None:
+    if not get_policy_registry().is_initialized():
+        return
+    model_group: Final = _model_group_for_response_id(data.get("response_id"), llm_router)
+    if model_group is None:
+        return
+    context: Final = _retrieval_context(data, user_api_key_dict, model_group)
+    post_call_pipelines, policy_sources = _post_call_pipelines_for_context(context)
+    _, bucket = get_or_create_metadata_bucket(data)
+    already_attached: Final = _POLICY_PIPELINES_ADAPTER.validate_python(bucket.get("_guardrail_pipelines") or ())
+    attached_policy_names: Final = frozenset(policy_name for policy_name, _pipeline in already_attached)
+    added: Final = tuple(
+        (policy_name, pipeline)
+        for policy_name, pipeline in post_call_pipelines
+        if policy_name not in attached_policy_names
+    )
+    if not added:
+        return
+    pipelines: Final = (*already_attached, *added)
+    bucket["_guardrail_pipelines"] = pipelines
+    bucket["_pipeline_managed_guardrails"] = frozenset(
+        step.guardrail for _policy_name, pipeline in pipelines for step in pipeline.steps
+    )
+    for policy_name, _pipeline in added:
+        add_policy_to_applied_policies_header(request_data=data, policy_name=policy_name)
+    for _policy_name, pipeline in added:
+        for step in pipeline.steps:
+            add_guardrail_to_applied_guardrails_header(request_data=data, guardrail_name=step.guardrail)
+    add_policy_sources_to_metadata(
+        request_data=data,
+        policy_sources={  # mutable-ok: add_policy_sources_to_metadata takes a dict
+            policy_name: policy_sources[policy_name] for policy_name, _pipeline in added
+        },
+    )
+    verbose_proxy_logger.debug(
+        "Policy engine: attached post_call pipelines to the retrieval of background response %s (model group %s): %s",
+        data.get("response_id"),
+        model_group,
+        ", ".join(policy_name for policy_name, _pipeline in added),
+    )
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 8b36061c6be..3d03d3858ee 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -171,6 +171,7 @@ from litellm.repositories.verification_token_repository import (
 )
 from litellm.secret_managers.main import str_to_bool
 from litellm.types.integrations.slack_alerting import DEFAULT_ALERT_TYPES
+from litellm.types.llms.openai import ResponsesAPIResponse
 from litellm.types.mcp import (
     MCPDuringCallResponseObject,
     MCPPreCallRequestObject,
@@ -525,15 +526,21 @@ def _post_call_pipelines(data: Mapping[str, object]) -> tuple[tuple[str, "Guardr
     )
 
 
-def _warn_background_skips_post_call_pipelines(data: Mapping[str, object]) -> None:
-    if data.get("background") is not True:
-        return
+_PENDING_BACKGROUND_RESPONSE_STATUSES: Final = frozenset(("queued", "in_progress"))
+
+
+def _is_pending_background_response(response: LLMResponseTypes) -> bool:
+    return isinstance(response, ResponsesAPIResponse) and response.status in _PENDING_BACKGROUND_RESPONSE_STATUSES
+
+
+def _log_deferred_post_call_pipelines(data: Mapping[str, object], response: ResponsesAPIResponse) -> None:
     policy_names: Final = tuple(policy_name for policy_name, _pipeline in _post_call_pipelines(data))
     if not policy_names:
         return
-    verbose_proxy_logger.warning(
-        "Policies with post_call guardrail pipelines do not run on background responses yet; "
-        "the response is released ungoverned by them: %s",
+    verbose_proxy_logger.debug(
+        "Post_call guardrail pipelines wait for background response %s (status=%s) to be retrieved complete: %s",
+        response.id,
+        response.status,
         ", ".join(policy_names),
     )
 
@@ -1956,8 +1963,6 @@ class ProxyLogging:
         )
 
         try:
-            _warn_background_skips_post_call_pipelines(data)
-
             # Execute guardrail pipelines before the normal callback loop
             data, _ = await self._maybe_execute_pipelines(  # rebind-ok: pipeline edits feed the callback loop below
                 data=data,
@@ -2927,6 +2932,24 @@ class ProxyLogging:
             daemon=True,
         ).start()
 
+    async def _run_post_call_pipelines(
+        self,
+        data: dict,  # mutable-ok: same request-payload shape as post_call_success_hook's data
+        user_api_key_dict: UserAPIKeyAuth,
+        response: LLMResponseTypes,
+    ) -> LLMResponseTypes | None:
+        if _is_pending_background_response(response):
+            _log_deferred_post_call_pipelines(data, response)
+            return None
+        _, pipeline_response = await self._maybe_execute_pipelines(
+            data=data,
+            user_api_key_dict=user_api_key_dict,
+            call_type=getattr(data.get("litellm_logging_obj"), "call_type", None) or "acompletion",
+            event_hook="post_call",
+            response=response,
+        )
+        return pipeline_response
+
     async def post_call_success_hook(
         self,
         data: dict,
@@ -2946,11 +2969,9 @@ class ProxyLogging:
         from litellm.proxy.proxy_server import llm_router
         from litellm.types.guardrails import GuardrailEventHooks
 
-        _, pipeline_response = await self._maybe_execute_pipelines(
+        pipeline_response: Final = await self._run_post_call_pipelines(
             data=data,
             user_api_key_dict=user_api_key_dict,
-            call_type=getattr(data.get("litellm_logging_obj"), "call_type", None) or "acompletion",
-            event_hook="post_call",
             response=response,
         )
         if pipeline_response is not None:
diff --git a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
new file mode 100644
index 00000000000..f7f29d6b46e
--- /dev/null
+++ b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
@@ -0,0 +1,157 @@
+import pytest
+
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.policy_engine.attachment_registry import get_attachment_registry
+from litellm.proxy.policy_engine.policy_registry import get_policy_registry
+from litellm.proxy.policy_engine.response_retrieval import attach_post_call_pipelines_to_retrieval
+from litellm.responses.utils import ResponsesAPIRequestUtils
+from litellm.types.router import Deployment, LiteLLM_Params
+
+GOVERNED_MODEL_GROUP = "gpt-5.4-mini"
+GOVERNED_MODEL_ID = "deployment-governed"
+UNGOVERNED_MODEL_GROUP = "gpt-4.1-mini"
+UNGOVERNED_MODEL_ID = "deployment-ungoverned"
+
+
+class FakeRouter:
+    def __init__(self, deployments: dict[str, Deployment]):
+        self._deployments = deployments
+
+    def get_deployment(self, model_id: str) -> Deployment | None:
+        return self._deployments.get(model_id)
+
+
+def _deployment(model_group: str, model_id: str) -> Deployment:
+    return Deployment(
+        model_name=model_group,
+        litellm_params=LiteLLM_Params(model=f"openai/{model_group}"),
+        model_info={"id": model_id},
+    )
+
+
+def _router() -> FakeRouter:
+    return FakeRouter(
+        {
+            GOVERNED_MODEL_ID: _deployment(GOVERNED_MODEL_GROUP, GOVERNED_MODEL_ID),
+            UNGOVERNED_MODEL_ID: _deployment(UNGOVERNED_MODEL_GROUP, UNGOVERNED_MODEL_ID),
+        }
+    )
+
+
+def _encoded_response_id(model_id: str) -> str:
+    return ResponsesAPIRequestUtils._build_responses_api_response_id(
+        custom_llm_provider="openai", model_id=model_id, response_id="resp_upstream"
+    )
+
+
+def _pipeline_policy(guardrail: str, mode: str = "post_call") -> dict[str, object]:
+    return {
+        "guardrails": {"add": [guardrail]},
+        "pipeline": {"mode": mode, "steps": [{"guardrail": guardrail, "on_pass": "allow", "on_fail": "block"}]},
+    }
+
+
+@pytest.fixture
+def policy_engine():
+    policy_registry = get_policy_registry()
+    attachment_registry = get_attachment_registry()
+    policy_registry.load_policies(
+        {
+            "response-governance": _pipeline_policy("output-word-filter"),
+            "input-governance": _pipeline_policy("input-word-filter", mode="pre_call"),
+            "team-governance": _pipeline_policy("team-word-filter"),
+        }
+    )
+    attachment_registry.load_attachments(
+        [
+            {"policy": "response-governance", "models": [GOVERNED_MODEL_GROUP]},
+            {"policy": "input-governance", "models": [GOVERNED_MODEL_GROUP]},
+            {"policy": "team-governance", "teams": ["governed-team"]},
+        ]
+    )
+    yield
+    policy_registry.clear()
+    attachment_registry.clear()
+
+
+def _retrieval_data(model_id: str) -> dict:
+    return {"response_id": _encoded_response_id(model_id), "litellm_metadata": {}}
+
+
+def _attached_pipelines(data: dict) -> tuple[tuple[str, str], ...]:
+    return tuple(
+        (policy_name, ",".join(step.guardrail for step in pipeline.steps))
+        for policy_name, pipeline in data["litellm_metadata"]["_guardrail_pipelines"]
+    )
+
+
+def test_attaches_model_scoped_post_call_pipeline_to_retrieval(policy_engine):
+    data = _retrieval_data(GOVERNED_MODEL_ID)
+
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+
+    assert _attached_pipelines(data) == (("response-governance", "output-word-filter"),)
+    assert data["litellm_metadata"]["_pipeline_managed_guardrails"] == frozenset({"output-word-filter"})
+    assert data["litellm_metadata"]["applied_policies"] == ["response-governance"]
+    assert data["litellm_metadata"]["applied_guardrails"] == ["output-word-filter"]
+    assert data["litellm_metadata"]["policy_sources"] == {"response-governance": "model:gpt-5.4-mini"}
+    assert "model" not in data
+    assert "guardrails" not in data["litellm_metadata"]
+
+
+def test_key_and_team_context_also_governs_retrieval(policy_engine):
+    data = _retrieval_data(UNGOVERNED_MODEL_ID)
+
+    attach_post_call_pipelines_to_retrieval(
+        data=data, user_api_key_dict=UserAPIKeyAuth(team_alias="governed-team"), llm_router=_router()
+    )
+
+    assert _attached_pipelines(data) == (("team-governance", "team-word-filter"),)
+
+
+def test_retrieval_of_an_ungoverned_model_attaches_nothing(policy_engine):
+    data = _retrieval_data(UNGOVERNED_MODEL_ID)
+
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+
+    assert data == _retrieval_data(UNGOVERNED_MODEL_ID)
+
+
+def test_already_attached_policy_is_not_attached_twice(policy_engine):
+    data = _retrieval_data(GOVERNED_MODEL_ID)
+    router = _router()
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=router)
+
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=router)
+
+    assert _attached_pipelines(data) == (("response-governance", "output-word-filter"),)
+    assert data["litellm_metadata"]["applied_policies"] == ["response-governance"]
+
+
+@pytest.mark.parametrize(
+    "response_id",
+    ["resp_plain_upstream_id", _encoded_response_id("deployment-missing-from-router"), None],
+)
+def test_unresolvable_response_id_attaches_nothing(policy_engine, response_id):
+    data = {"response_id": response_id, "litellm_metadata": {}}
+
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+
+    assert data == {"response_id": response_id, "litellm_metadata": {}}
+
+
+def test_without_a_router_attaches_nothing(policy_engine):
+    data = _retrieval_data(GOVERNED_MODEL_ID)
+
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=None)
+
+    assert data == _retrieval_data(GOVERNED_MODEL_ID)
+
+
+def test_without_policy_engine_attaches_nothing():
+    get_policy_registry().clear()
+    data = _retrieval_data(GOVERNED_MODEL_ID)
+
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+
+    assert data == _retrieval_data(GOVERNED_MODEL_ID)
diff --git a/tests/test_litellm/proxy/test_common_request_processing.py b/tests/test_litellm/proxy/test_common_request_processing.py
index 6acd9d7258e..9283c1ed865 100644
--- a/tests/test_litellm/proxy/test_common_request_processing.py
+++ b/tests/test_litellm/proxy/test_common_request_processing.py
@@ -8259,3 +8259,112 @@ class TestPassthroughHeadersAcceptImmutableMappings:
         assert merged["content-type"] == "text/event-stream"
         # the excluded hop-by-hop header is still dropped
         assert "transfer-encoding" not in merged
+
+
+class TestBackgroundResponseRetrievalGovernance:
+    """LIT-7175: retrieving a background Response attaches the model's post_call policy pipelines."""
+
+    GOVERNED_MODEL_GROUP = "gpt-5.4-mini"
+    GOVERNED_MODEL_ID = "deployment-governed"
+
+    @pytest.fixture
+    def policy_engine(self):
+        from litellm.proxy.policy_engine.attachment_registry import get_attachment_registry
+        from litellm.proxy.policy_engine.policy_registry import get_policy_registry
+
+        get_policy_registry().load_policies(
+            {
+                "response-governance": {
+                    "guardrails": {"add": ["output-word-filter"]},
+                    "pipeline": {
+                        "mode": "post_call",
+                        "steps": [{"guardrail": "output-word-filter", "on_pass": "allow", "on_fail": "block"}],
+                    },
+                }
+            }
+        )
+        get_attachment_registry().load_attachments(
+            [{"policy": "response-governance", "models": [self.GOVERNED_MODEL_GROUP]}]
+        )
+        yield
+        get_policy_registry().clear()
+        get_attachment_registry().clear()
+
+    def _router(self) -> MagicMock:
+        from litellm.types.router import Deployment, LiteLLM_Params
+
+        router = MagicMock()
+        router.get_deployment.side_effect = lambda model_id: (
+            Deployment(
+                model_name=self.GOVERNED_MODEL_GROUP,
+                litellm_params=LiteLLM_Params(model=f"openai/{self.GOVERNED_MODEL_GROUP}"),
+                model_info={"id": model_id},
+            )
+            if model_id == self.GOVERNED_MODEL_ID
+            else None
+        )
+        return router
+
+    async def _pre_call(self, route_type: str, monkeypatch) -> dict:
+        from litellm.responses.utils import ResponsesAPIRequestUtils
+
+        client_facing_response_id = "resp_opaque-client-facing-id"
+        encoded_response_id = ResponsesAPIRequestUtils._build_responses_api_response_id(
+            custom_llm_provider="openai", model_id=self.GOVERNED_MODEL_ID, response_id="resp_upstream"
+        )
+        processing_obj = ProxyBaseLLMRequestProcessing(
+            data={"response_id": client_facing_response_id, "litellm_metadata": {}}
+        )
+        mock_request = MagicMock(spec=Request)
+        mock_request.headers = {}
+
+        async def passthrough_add_litellm_data_to_request(data, **kwargs):
+            return data
+
+        async def decrypting_pre_call_hook(user_api_key_dict, data, call_type):
+            if data.get("response_id") == client_facing_response_id:
+                data["response_id"] = encoded_response_id
+            return data
+
+        monkeypatch.setattr(
+            litellm.proxy.common_request_processing,
+            "add_litellm_data_to_request",
+            passthrough_add_litellm_data_to_request,
+        )
+        proxy_logging_obj = MagicMock(spec=ProxyLogging)
+        proxy_logging_obj.pre_call_hook = AsyncMock(side_effect=decrypting_pre_call_hook)
+        proxy_config = MagicMock(spec=ProxyConfig)
+        proxy_config._get_hierarchical_router_settings = AsyncMock(return_value=None)
+        returned_data, _ = await processing_obj.common_processing_pre_call_logic(
+            request=mock_request,
+            general_settings={},
+            user_api_key_dict=ProxyUserAPIKeyAuth(),
+            proxy_logging_obj=proxy_logging_obj,
+            proxy_config=proxy_config,
+            route_type=route_type,
+            llm_router=self._router(),
+        )
+        return returned_data
+
+    @pytest.mark.asyncio
+    async def test_retrieving_a_background_response_attaches_its_model_post_call_pipeline(
+        self, policy_engine, monkeypatch
+    ):
+        data = await self._pre_call("aget_responses", monkeypatch)
+
+        assert data["response_id"].startswith("resp_bGl0ZWxsbTpjdXN0b21f")
+        pipelines = data["litellm_metadata"]["_guardrail_pipelines"]
+        assert [(policy_name, [step.guardrail for step in pipeline.steps]) for policy_name, pipeline in pipelines] == [
+            ("response-governance", ["output-word-filter"])
+        ]
+        assert data["litellm_metadata"]["applied_policies"] == ["response-governance"]
+        assert data["model"] is None
+
+    @pytest.mark.asyncio
+    async def test_submitting_a_response_does_not_attach_pipelines_from_its_response_id(
+        self, policy_engine, monkeypatch
+    ):
+        data = await self._pre_call("aresponses", monkeypatch)
+
+        assert "_guardrail_pipelines" not in data["litellm_metadata"]
+        assert "applied_policies" not in data["litellm_metadata"]
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 73dd6746b29..7d2c232ad97 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -30,6 +30,7 @@ from litellm.proxy.common_utils.callback_utils import add_guardrail_to_applied_g
 from litellm.proxy.utils import ProxyLogging, _streamable_post_call_pipelines
 from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.content_filter import ContentFilterGuardrail
 from litellm.types.guardrails import BlockedWord, ContentFilterAction, GuardrailEventHooks
+from litellm.types.llms.openai import ResponsesAPIResponse
 from litellm.types.proxy.policy_engine.pipeline_types import (
     GuardrailPipeline,
     PipelineStep,
@@ -1419,8 +1420,69 @@ async def test_streaming_request_whose_pipeline_guardrail_is_missing_streams_ver
     assert any("response-governance" in message and "gr-post" in message for message in _warnings(caplog))
 
 
+def _background_response(status: str, text: str = "") -> ResponsesAPIResponse:
+    output = (
+        [{"type": "message", "role": "assistant", "content": [{"type": "output_text", "text": text}]}] if text else []
+    )
+    return ResponsesAPIResponse(id="resp_bg", created_at=0, output=output, status=status)
+
+
+def _output_blocking_callbacks(seen: dict[str, object]) -> list[CustomGuardrail]:
+    class OutputBlockingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            seen["response"] = response
+            raise HTTPException(status_code=400, detail={"error": "output blocked"})
+
+    return [OutputBlockingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)]
+
+
 @pytest.mark.asyncio
-async def test_pre_call_hook_accepts_background_request_with_post_call_pipeline(
+@pytest.mark.parametrize("pending_status", ["queued", "in_progress"])
+async def test_post_call_success_hook_waits_for_pending_background_response_before_running_pipeline(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog, pending_status
+):
+    seen: dict[str, object] = {}
+    monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks(seen))
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(background=True)
+    response = _background_response(pending_status)
+
+    with caplog.at_level(logging.DEBUG, logger="LiteLLM Proxy"):
+        out = await proxy_logging.post_call_success_hook(
+            data=data, response=response, user_api_key_dict=make_user_api_key_auth()
+        )
+
+    assert out is response
+    assert "response" not in seen
+    assert not _warnings(caplog)
+    assert any(
+        "response-governance" in record.getMessage() and pending_status in record.getMessage()
+        for record in caplog.records
+    )
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("final_status", ["completed", "incomplete"])
+async def test_post_call_success_hook_runs_pipeline_on_retrieved_background_response(
+    proxy_logging, make_user_api_key_auth, monkeypatch, final_status
+):
+    seen: dict[str, object] = {}
+    monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks(seen))
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data()
+    response = _background_response(final_status, text="kumquat")
+
+    with pytest.raises(HTTPException) as info:
+        await proxy_logging.post_call_success_hook(
+            data=data, response=response, user_api_key_dict=make_user_api_key_auth()
+        )
+
+    assert info.value.detail["error"] == "output blocked"
+    assert seen["response"] is response
+
+
+@pytest.mark.asyncio
+async def test_pre_call_hook_stays_quiet_on_background_request_with_post_call_pipeline(
     proxy_logging, make_user_api_key_auth, monkeypatch, caplog
 ):
     monkeypatch.setattr(litellm, "callbacks", [])
@@ -1436,36 +1498,7 @@ async def test_pre_call_hook_accepts_background_request_with_post_call_pipeline(
 
     assert out is not None
     assert out.get("background") is True
-    assert any("response-governance" in message and "background" in message for message in _warnings(caplog))
-
-
-@pytest.mark.asyncio
-async def test_pre_call_hook_stays_quiet_on_background_request_without_post_call_pipeline(
-    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
-):
-    seen: Dict[str, Any] = {}
-    monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
-    pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="gr-post", on_fail="block")])
-    data = {
-        "model": "m",
-        "messages": [{"role": "user", "content": "hi"}],
-        "background": True,
-        "metadata": {
-            "_guardrail_pipelines": [("request-governance", pre_call)],
-            "_pipeline_managed_guardrails": {"gr-post"},
-        },
-    }
-
-    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
-        out = await proxy_logging.pre_call_hook(
-            user_api_key_dict=make_user_api_key_auth(),
-            data=data,
-            call_type="aresponses",
-            guardrails_only=True,
-        )
-
-    assert out is not None
-    assert not any("background" in message for message in _warnings(caplog))
+    assert not _warnings(caplog)
 
 
 # ---------------------------------------------------------------------------

From 2285640eeab7206f609d54286df0bac4130987f7 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:02:39 -0700
Subject: [PATCH 097/223] fix(spend-tracking): recover key alias for session
 tokens from spend logs

CLI session tokens are in-memory only and never get a LiteLLM_VerificationToken
row, so the usage APIs could not resolve key_alias, team_id, or user_email for
their spend rows: the exact join and the reverse-hash recovery both miss. The
owner is written to LiteLLM_SpendLogs.metadata at request time under the same
hashed api_key, so read it back from there for keys still unresolved after the
token-table passes.

The lookup is sha256-gated like the existing reverse-hash recovery and bounded
to the records' startTime window (min date minus one day, max date plus two) so
it stays on the startTime index. No migration.

Also guard the window parser against the date=None rollup rows GROUPING SETS
aggregation emits, which raised TypeError from strptime and turned the
aggregated usage endpoints into HTTP 500s.
---
 .../common_daily_activity.py                  | 51 ++++++++--
 .../spend_tracking/key_metadata_recovery.py   | 48 ++++++++++
 .../test_common_daily_activity.py             | 53 +++++++++++
 .../test_key_metadata_recovery.py             | 95 ++++++++++++++++++-
 4 files changed, 238 insertions(+), 9 deletions(-)

diff --git a/litellm/proxy/management_endpoints/common_daily_activity.py b/litellm/proxy/management_endpoints/common_daily_activity.py
index ce6a97708ab..c6c5aad5926 100644
--- a/litellm/proxy/management_endpoints/common_daily_activity.py
+++ b/litellm/proxy/management_endpoints/common_daily_activity.py
@@ -14,6 +14,7 @@ from litellm.proxy._types import CommonProxyErrors
 from litellm.proxy.spend_tracking.key_metadata_recovery import (
     attach_user_emails,
     recover_double_hashed_key_metadata,
+    recover_key_metadata_from_spend_logs,
 )
 from litellm.proxy.spend_tracking.ptu_feature_flag import is_ptu_cost_attribution_enabled
 from litellm.proxy.utils import PrismaClient
@@ -433,15 +434,37 @@ def update_breakdown_metrics(
     return breakdown
 
 
+def _spend_logs_window(dates: AbstractSet[str | None]) -> tuple[datetime, datetime] | None:
+    parsed: Final = sorted(day for day in (_parse_spend_date(raw) for raw in dates) if day is not None)
+    if not parsed:
+        return None
+    return (parsed[0] - timedelta(days=1), parsed[-1] + timedelta(days=2))
+
+
+def _parse_spend_date(raw: str | None) -> datetime | None:
+    if not isinstance(raw, str):
+        return None
+    try:
+        return datetime.fromisoformat(raw)
+    except ValueError:
+        return None
+
+
+_EMPTY_KEY_METADATA: Final[Mapping[str, _KeyMetadataDict]] = MappingProxyType({})
+
+
 async def get_api_key_metadata(
     prisma_client: PrismaClient,
     api_keys: AbstractSet[str],
+    spend_logs_window: tuple[datetime, datetime] | None = None,
 ) -> Mapping[str, _KeyMetadataDict]:
     """Get api key metadata, falling back to deleted keys table for keys not found in active table.
 
     This ensures that key_alias and team_id are preserved in historical activity logs
     even after a key is deleted or regenerated. Also recovers aliases for api_key
-    values that were double-hashed by the v1.99 spend-log provenance gate.
+    values that were double-hashed by the v1.99 spend-log provenance gate, and, when
+    spend_logs_window is given, for keys never written to either token table (CLI
+    session tokens) from the spend-log rows those requests wrote in that window.
     """
     key_records: Sequence[PrismaVerificationToken] = await VerificationTokenRepository(prisma_client).table.find_many(
         where={"token": {"in": list(api_keys)}}
@@ -481,11 +504,17 @@ async def get_api_key_metadata(
             )
 
     still_missing: Final = api_keys - frozenset(result)
-    combined: Final = (
-        result
-        if not still_missing
-        else MappingProxyType({**result, **(await recover_double_hashed_key_metadata(prisma_client, still_missing))})
+    from_reverse_hash: Final = (
+        await recover_double_hashed_key_metadata(prisma_client, still_missing) if still_missing else _EMPTY_KEY_METADATA
     )
+    after_token_recovery: Final = MappingProxyType({**result, **from_reverse_hash})
+    unresolved: Final = api_keys - frozenset(after_token_recovery)
+    from_spend_logs: Final = (
+        await recover_key_metadata_from_spend_logs(prisma_client, unresolved, spend_logs_window)
+        if unresolved and spend_logs_window is not None
+        else _EMPTY_KEY_METADATA
+    )
+    combined: Final = MappingProxyType({**after_token_recovery, **from_spend_logs})
     return await attach_user_emails(prisma_client, combined)
 
 
@@ -898,7 +927,9 @@ async def _aggregate_spend_records(
 
     api_key_metadata: dict[str, _KeyMetadataDict] = {}
     if api_keys:
-        api_key_metadata = await get_api_key_metadata(prisma_client, api_keys)
+        api_key_metadata = await get_api_key_metadata(
+            prisma_client, api_keys, _spend_logs_window(frozenset(record.date for record in records))
+        )
 
     return await asyncio.to_thread(
         _aggregate_spend_records_sync,
@@ -1094,7 +1125,9 @@ async def _aggregate_grouping_sets_records(
 
     api_key_metadata: dict[str, _KeyMetadataDict] = {}
     if api_keys:
-        api_key_metadata = await get_api_key_metadata(prisma_client, api_keys)
+        api_key_metadata = await get_api_key_metadata(
+            prisma_client, api_keys, _spend_logs_window(frozenset(r.date for r in records))
+        )
 
     return await asyncio.to_thread(
         _aggregate_grouping_sets_records_sync,
@@ -1357,7 +1390,9 @@ async def get_daily_activity_aggregated(
                 r.api_key for r in entity_records if r.api_key and r.api_key != PTU_SENTINEL_API_KEY
             )
             entity_key_metadata: Final = (
-                await get_api_key_metadata(prisma_client, entity_api_keys)
+                await get_api_key_metadata(
+                    prisma_client, entity_api_keys, _spend_logs_window(frozenset(r.date for r in entity_records))
+                )
                 if entity_api_keys
                 else {}  # mutable-ok: matches the helper's dict return
             )
diff --git a/litellm/proxy/spend_tracking/key_metadata_recovery.py b/litellm/proxy/spend_tracking/key_metadata_recovery.py
index 7de18521edd..81c1f4cf119 100644
--- a/litellm/proxy/spend_tracking/key_metadata_recovery.py
+++ b/litellm/proxy/spend_tracking/key_metadata_recovery.py
@@ -1,5 +1,6 @@
 from collections.abc import Awaitable, Callable, Mapping, Sequence
 from collections.abc import Set as AbstractSet
+from datetime import datetime
 from types import MappingProxyType
 from typing import Final, TypeVar
 
@@ -27,6 +28,19 @@ WHERE encode(sha256(convert_to(token, 'UTF8')), 'hex') = ANY($1::text[])
 ORDER BY token, deleted_at DESC
 """
 
+_SPEND_LOG_ALIAS_SQL: Final = """
+SELECT DISTINCT ON (api_key)
+    api_key AS digest,
+    metadata->>'user_api_key_alias' AS key_alias,
+    COALESCE(NULLIF(team_id, ''), metadata->>'user_api_key_team_id') AS team_id,
+    COALESCE(NULLIF("user", ''), metadata->>'user_api_key_user_id') AS user_id
+FROM "LiteLLM_SpendLogs"
+WHERE api_key = ANY($1::text[])
+  AND "startTime" >= $2::timestamp
+  AND "startTime" < $3::timestamp
+ORDER BY api_key, (metadata->>'user_api_key_alias') IS NULL, "startTime" DESC
+"""
+
 
 class KeyMetadataDict(TypedDict, total=False):
     key_alias: ReadOnly[str | None]
@@ -168,6 +182,40 @@ async def recover_double_hashed_key_metadata(
     return MappingProxyType({**from_active, **from_deleted})
 
 
+async def recover_key_metadata_from_spend_logs(
+    prisma_client: PrismaClient,
+    missing_keys: AbstractSet[str],
+    window: tuple[datetime, datetime],
+) -> Mapping[str, KeyMetadataDict]:
+    """
+    Recover key_alias/team_id/user_id for hashed api_key values absent from both
+    verification-token tables, e.g. in-memory CLI session tokens that never get a
+    token row. Their owner is written to LiteLLM_SpendLogs metadata at request
+    time under the same hashed api_key, so it is the only surviving source. Only
+    sha256 digests are looked up, matching the reverse-hash recovery gate, since
+    every current api_key value in spend logs is a token hash. The [start, end)
+    bound keeps the lookup on the startTime index instead of scanning the table.
+    """
+    sha_missing: Final = frozenset(key for key in missing_keys if is_valid_sha256_hash(key))
+    if not sha_missing:
+        return _EMPTY_KEY_METADATA
+    start, end = window
+    rows: Final = await _db_or_empty(
+        lambda: prisma_client.db.query_raw(_SPEND_LOG_ALIAS_SQL, sorted(sha_missing), start, end),
+        "Failed spend-log alias recovery for %d missing keys: %s",
+        len(sha_missing),
+    )
+    if rows is None:
+        return _EMPTY_KEY_METADATA
+    return MappingProxyType(
+        {
+            row.digest: KeyMetadataDict(key_alias=row.key_alias, team_id=row.team_id, user_id=row.user_id)
+            for row in _TOKEN_DIGEST_ROWS.validate_python(rows)
+            if row.digest in sha_missing and (row.key_alias or row.user_id or row.team_id)
+        }
+    )
+
+
 def _row_with_recovered_fields(
     row: Mapping[str, object],
     recovered: Mapping[str, KeyMetadataDict],
diff --git a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
index 37a54c4901a..4d3dc320d8f 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
@@ -2105,3 +2105,56 @@ async def test_get_daily_activity_aggregated_with_entity_breakdown():
     # Rollups with the entity bit set must still land in their usual buckets
     assert daily.breakdown.models["gpt-4o"].metrics.spend == 18.0
     assert daily.breakdown.api_keys["key-1"].metrics.spend == 12.0
+
+
+@pytest.mark.asyncio
+async def test_get_api_key_metadata_resolves_session_key_via_spend_log_window():
+    """
+    A CLI session token has no verification-token row, so the active/deleted lookups
+    and reverse-hash all miss. Given a spend-log window, its alias and owner are
+    recovered from the spend-log metadata and its email is filled from the user table.
+    """
+    from litellm.proxy.utils import hash_token
+
+    session_digest = hash_token("cli-session-user-42")
+    mock_prisma = MagicMock()
+    mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[])
+    mock_prisma.db.litellm_deletedverificationtoken.find_many = AsyncMock(return_value=[])
+    mock_prisma.db.litellm_usertable.find_many = AsyncMock(
+        return_value=[SimpleNamespace(user_id="user-42", user_email="user42@example.com")]
+    )
+
+    async def query_raw(sql, *params):
+        if "LiteLLM_SpendLogs" in sql:
+            return [{"digest": session_digest, "key_alias": "cli-session-user-42", "team_id": None, "user_id": "user-42"}]
+        return []
+
+    mock_prisma.db.query_raw = AsyncMock(side_effect=query_raw)
+
+    result = await get_api_key_metadata(
+        prisma_client=mock_prisma,
+        api_keys={session_digest},
+        spend_logs_window=(datetime(2026, 9, 7), datetime(2026, 9, 10)),
+    )
+
+    assert result[session_digest]["key_alias"] == "cli-session-user-42"
+    assert result[session_digest]["user_id"] == "user-42"
+    assert result[session_digest]["user_email"] == "user42@example.com"
+    spend_log_calls = [call.args for call in mock_prisma.db.query_raw.call_args_list if "LiteLLM_SpendLogs" in call.args[0]]
+    ((_, digests, start, end),) = spend_log_calls
+    assert digests == [session_digest]
+    assert (start, end) == (datetime(2026, 9, 7), datetime(2026, 9, 10))
+
+
+def test_spend_logs_window_pads_min_minus_one_day_and_max_plus_two_days():
+    from litellm.proxy.management_endpoints.common_daily_activity import _spend_logs_window
+
+    window = _spend_logs_window({"2026-09-08", "2026-09-05", "not-a-date"})
+
+    assert window == (datetime(2026, 9, 4), datetime(2026, 9, 10))
+
+
+def test_spend_logs_window_is_none_when_no_date_parses():
+    from litellm.proxy.management_endpoints.common_daily_activity import _spend_logs_window
+
+    assert _spend_logs_window({"garbage", ""}) is None
diff --git a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
index 7a80319239d..9e42f017106 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
@@ -1,4 +1,5 @@
 from collections.abc import Sequence
+from datetime import datetime
 from types import SimpleNamespace
 from unittest.mock import AsyncMock, MagicMock
 
@@ -8,14 +9,24 @@ from prisma.errors import PrismaError
 from litellm.proxy.spend_tracking.key_metadata_recovery import (
     fill_missing_api_key_aliases,
     recover_double_hashed_key_metadata,
+    recover_key_metadata_from_spend_logs,
 )
 from litellm.proxy.utils import hash_token
 
 
-def _digest_row(digest: str, key_alias: str, team_id: str | None, user_id: str | None) -> dict[str, str | None]:
+def _digest_row(digest: str, key_alias: str | None, team_id: str | None, user_id: str | None) -> dict[str, str | None]:
     return {"digest": digest, "key_alias": key_alias, "team_id": team_id, "user_id": user_id}
 
 
+def _query_raw_spend_logs(rows: Sequence[dict[str, str | None]]) -> AsyncMock:
+    async def query_raw(sql: str, *params: object) -> list[dict[str, str | None]]:
+        if '"LiteLLM_SpendLogs"' in sql:
+            return list(rows)
+        raise AssertionError(f"unexpected query: {sql}")
+
+    return AsyncMock(side_effect=query_raw)
+
+
 def _query_raw_by_table(
     active_rows: Sequence[dict[str, str | None]],
     deleted_rows: Sequence[dict[str, str | None]],
@@ -218,3 +229,85 @@ async def test_fill_missing_api_key_aliases_skips_named_keys_that_have_no_email(
 
     assert filled == rows
     mock_prisma.db.query_raw.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_resolves_session_token_from_metadata():
+    """
+    CLI session tokens never get a verification-token row, so both the exact join and
+    the reverse-hash lookup miss them. Their owner survives only in the spend-log
+    metadata written at request time, keyed by the same hashed api_key.
+    """
+    session_digest = hash_token("cli-session-repro-user-6852")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs(
+        [_digest_row(session_digest, "cli-session-repro-user-6852", None, "repro-user-6852")]
+    )
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {session_digest}, window)
+
+    assert result[session_digest]["key_alias"] == "cli-session-repro-user-6852"
+    assert result[session_digest]["user_id"] == "repro-user-6852"
+    ((_, digests, start, end),) = [call.args for call in mock_prisma.db.query_raw.call_args_list]
+    assert digests == [session_digest]
+    assert (start, end) == window
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_skips_query_when_no_missing_keys():
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = AsyncMock(return_value=[])
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, set(), window)
+
+    assert result == {}
+    mock_prisma.db.query_raw.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_returns_empty_on_prisma_error():
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = AsyncMock(side_effect=PrismaError("db down"))
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {hash_token("cli-session-x")}, window)
+
+    assert result == {}
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_ignores_foreign_and_all_null_rows():
+    wanted = hash_token("cli-session-wanted")
+    all_null = hash_token("cli-session-null")
+    foreign = hash_token("cli-session-foreign")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs(
+        [
+            _digest_row(wanted, "kept-alias", None, "owner-1"),
+            _digest_row(all_null, None, None, None),
+            _digest_row(foreign, "foreign-alias", None, "owner-2"),
+        ]
+    )
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {wanted, all_null}, window)
+
+    assert set(result) == {wanted}
+    assert result[wanted]["key_alias"] == "kept-alias"
+    assert result[wanted]["user_id"] == "owner-1"
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_skips_non_sha256_keys():
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = AsyncMock(return_value=[])
+
+    result = await recover_key_metadata_from_spend_logs(
+        mock_prisma, {"cli-session-raw-1798", "key-hash-short"}, window
+    )
+
+    assert result == {}
+    mock_prisma.db.query_raw.assert_not_called()

From 629b464cd68114e595b584c9fdde86484f8c219d Mon Sep 17 00:00:00 2001
From: moe-berri <moe@berri.ai>
Date: Tue, 8 Sep 2026 12:06:52 -0700
Subject: [PATCH 098/223] feat(auto_router): opt-in NON_REASONING tier below
 SIMPLE

Agent harnesses send a lot of operational turns that relay or reformat tool
output rather than reason about it, and the cheapest built-in tier was SIMPLE.
NON_REASONING adds a rung below it, behind enable_non_reasoning_tier so an
already-deployed router cannot move.

The toggle is what keeps it safe. The tier set feeds the classifier rubric, the
response-format enum, the escalation ladder and the savings baseline, so a
default-on fifth tier would have changed what every existing router sends and
where its traffic lands. Off, the ladder, rubric, wire labels and baseline are
byte-identical to before. On, the rung is added at index 0, escalation walks up
out of it, and it can never win the savings baseline.

It requires an llm or custom classifier and a model of its own: the v1 score
ladder has no rung below simple_medium and the v2 artifact is trained on four
classes, so the heuristic scorers cannot produce the tier and a router that
enabled it there would pay for a bullet nothing reaches.

The dashboard follows the same flag, and the edit modal now reads the tier back
from the stored config rather than assuming four keys, since it rewrites tiers
wholesale on save and would otherwise delete a hand-written tier on any edit.
---
 .../public_endpoints/public_endpoints.py      |   3 +
 .../classification_rubrics.py                 |   5 +
 .../complexity_router/complexity_router.py    |  46 +++-
 .../complexity_router/config.py               |  91 +++++++-
 .../public_endpoints/public_endpoints.py      |   9 +-
 .../router_strategy/test_complexity_router.py | 197 +++++++++++++++++-
 .../add_model/ComplexityRouterConfig.test.tsx |   4 +-
 .../add_model/ComplexityRouterConfig.tsx      |  68 +++++-
 .../components/add_model/KeywordTierRules.tsx |   2 +-
 .../add_model/add_auto_router_tab.tsx         |   1 +
 .../build_complexity_router_config.ts         |   6 +
 .../add_model/complexity_router_tiers.ts      |   7 +-
 .../components/add_model/tier_rows.test.ts    |  31 +++
 .../src/components/add_model/tier_rows.ts     |  18 +-
 .../components/add_model/tier_set_actions.ts  |   9 +-
 ...d_updated_complexity_router_config.test.ts |  49 +++++
 .../edit_auto_router_modal.tsx                |  14 +-
 ui/litellm-dashboard/src/lib/http/schema.d.ts |  20 +-
 18 files changed, 541 insertions(+), 39 deletions(-)

diff --git a/litellm/proxy/public_endpoints/public_endpoints.py b/litellm/proxy/public_endpoints/public_endpoints.py
index 94a59828451..a7a24e10bdd 100644
--- a/litellm/proxy/public_endpoints/public_endpoints.py
+++ b/litellm/proxy/public_endpoints/public_endpoints.py
@@ -534,6 +534,9 @@ async def get_autorouter_presets(
     "/public/autorouter_presets",
     tags=["public", "auto router"],  # mutable-ok: FastAPI route tags take a list
     response_model=dict[str, AutoRouterPresetRecord],
+    # An optional tier a preset does not set must not reach the dashboard as a null pool, which the
+    # template picker would render as an empty tier row the operator never asked for.
+    response_model_exclude_none=True,
 )
 async def get_public_autorouter_presets() -> Mapping[str, AutoRouterPresetRecord]:
     """
diff --git a/litellm/router_strategy/complexity_router/classification_rubrics.py b/litellm/router_strategy/complexity_router/classification_rubrics.py
index 9f168eabbc4..1dae2902fad 100644
--- a/litellm/router_strategy/complexity_router/classification_rubrics.py
+++ b/litellm/router_strategy/complexity_router/classification_rubrics.py
@@ -108,6 +108,11 @@ _CALIBRATION_EXAMPLES: Final[Mapping[ClassificationRubric, str]] = MappingProxyT
 
 BUSINESS_TIER_CRITERIA: Final[Mapping[ComplexityTier, str]] = MappingProxyType(
     {
+        ComplexityTier.NON_REASONING: (
+            "operational requests whose whole job is to pass information along or put it in a requested "
+            "shape: relaying or reformatting tool or system output, acknowledging a completed action, or "
+            "extracting a stated field. Use it only when no judgment about the content is asked for."
+        ),
         ComplexityTier.SIMPLE: (
             "greetings, chitchat, or lookups of a fact, policy, price, or date with a short known answer. "
             "Never for analysis, strategy, or non-trivial work, even if the request is only one sentence."
diff --git a/litellm/router_strategy/complexity_router/complexity_router.py b/litellm/router_strategy/complexity_router/complexity_router.py
index c8644f52c57..fd0d53e0902 100644
--- a/litellm/router_strategy/complexity_router/complexity_router.py
+++ b/litellm/router_strategy/complexity_router/complexity_router.py
@@ -100,7 +100,12 @@ else:
 
 
 class TierClassification(BaseModel):
-    """Structured response schema for the LLM-based complexity classifier."""
+    """Structured response schema for the LLM-based complexity classifier.
+
+    The four-tier ladder, which is what a router that did not opt into NON_REASONING sends. The
+    enum actually put on the wire is rebuilt per router from `classifier_wire_labels`, so a
+    five-tier or renamed ladder widens it there rather than here.
+    """
 
     tier: Literal["SIMPLE", "MEDIUM", "COMPLEX", "REASONING"]
 
@@ -116,8 +121,20 @@ def _tier_name(tier: ComplexityTier | str) -> str:
     return tier.value if isinstance(tier, ComplexityTier) else tier
 
 
+def _built_in_tier_or_none(tier_name: str) -> ComplexityTier | None:
+    """The built-in tier a `tiers` key names, or None when the key is an operator-defined name."""
+    return ComplexityTier.__members__.get(tier_name)
+
+
 _CLASSIFICATION_TIER_CRITERIA: Final[Mapping[ComplexityTier, str]] = MappingProxyType(
     {
+        ComplexityTier.NON_REASONING: (
+            "operational requests whose whole job is to pass information along or put it in a "
+            "requested shape: relaying or reformatting tool output, acknowledging a completed action, "
+            "or extracting a stated value. Use it only when no judgment about the content is asked for; "
+            "the moment the request is to summarize, compare, explain, debug, or decide, it belongs "
+            "in a higher tier however short it is."
+        ),
         ComplexityTier.SIMPLE: (
             "greetings, chitchat, or factual lookups with a short known answer. Do not use this tier for "
             "unsolved problems, proofs, deep theory, multi-step analysis, or non-trivial code, even if the "
@@ -1228,7 +1245,7 @@ class ComplexityRouter(CustomLogger):
         """
         if self.config.has_custom_tiers:
             return tuple(dict.fromkeys(model for models in self._tier_pools().values() for model in models))
-        for tier in reversed(TIER_SEVERITY_ORDER):
+        for tier in reversed(self.config.active_tier_severity_order()):
             models = self.config.tiers.get(tier.value)
             if models:
                 return tuple(models) if isinstance(models, list) else (models,)
@@ -1863,7 +1880,11 @@ class ComplexityRouter(CustomLogger):
         default_model: Final = self.config.default_model
         pools: Final = self._tier_pools()
         tier: Final = next(
-            (candidate for candidate in TIER_SEVERITY_ORDER if default_model in pools.get(candidate.value, ())),
+            (
+                candidate
+                for candidate in self.config.active_tier_severity_order()
+                if default_model in pools.get(candidate.value, ())
+            ),
             ComplexityTier.MEDIUM,
         )
         return ClassificationOutcome(
@@ -2248,7 +2269,8 @@ class ComplexityRouter(CustomLogger):
             return self._fitting_tier_fallback(classified_tier, fit_filter)
 
         request_type: Final = classify_prompt(user_message)
-        classified_idx: Final = TIER_SEVERITY_ORDER.index(classified_tier)
+        severity_order: Final = self.config.active_tier_severity_order()
+        classified_idx: Final = severity_order.index(classified_tier)
         pools: Final = self._tier_pools()
         classified_candidates: Final = _allowed(tuple(pools.get(_tier_name(classified_tier), ())), fit_filter)
         cold_start_candidates: Final = tuple(
@@ -2313,7 +2335,7 @@ class ComplexityRouter(CustomLogger):
             else:
                 model_tiers = self._model_tiers.get(model, (classified_tier,))
                 distance = min(
-                    abs(TIER_SEVERITY_ORDER.index(model_tier) - classified_idx) for model_tier in model_tiers
+                    abs(severity_order.index(model_tier) - classified_idx) for model_tier in model_tiers
                 )
             score = quality_weight * quality_sample + cost_weight * cost_score - penalty_weight * distance
             candidate_scores.append(
@@ -2610,10 +2632,15 @@ class ComplexityRouter(CustomLogger):
     def _tier_for_model(self, model: str) -> ComplexityTier | None:
         """Return the most-severe configured tier whose pool contains this model."""
         pools: Final = self._tier_pools()
-        matched: Final = tuple(ComplexityTier(tier_name) for tier_name, models in pools.items() if model in models)
+        order: Final = self.config.active_tier_severity_order()
+        matched: Final = tuple(
+            tier
+            for tier_name, models in pools.items()
+            if model in models and (tier := _built_in_tier_or_none(tier_name)) is not None and tier in order
+        )
         if not matched:
             return None
-        return max(matched, key=TIER_SEVERITY_ORDER.index)
+        return max(matched, key=order.index)
 
     def _escalate_tier(self, tier: ComplexityTier | str) -> ComplexityTier | str:
         """Bump a tier one step up to the next-higher configured tier.
@@ -2628,9 +2655,10 @@ class ComplexityRouter(CustomLogger):
         if self.config.has_custom_tiers:
             return tier
         configured: Final = frozenset(self.config.tiers)
-        current_index: Final = TIER_SEVERITY_ORDER.index(tier)
+        order: Final = self.config.active_tier_severity_order()
+        current_index: Final = order.index(tier)
         higher_tiers: Final = tuple(
-            candidate for candidate in TIER_SEVERITY_ORDER[current_index + 1 :] if candidate.value in configured
+            candidate for candidate in order[current_index + 1 :] if candidate.value in configured
         )
         return higher_tiers[0] if higher_tiers else tier
 
diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py
index 3ec9f9b5394..bdfa0c9c389 100644
--- a/litellm/router_strategy/complexity_router/config.py
+++ b/litellm/router_strategy/complexity_router/config.py
@@ -29,6 +29,7 @@ from .tier_predictor import TrainedTierArtifact
 class ComplexityTier(str, Enum):
     """Complexity tiers for routing decisions."""
 
+    NON_REASONING = "NON_REASONING"
     SIMPLE = "SIMPLE"
     MEDIUM = "MEDIUM"
     COMPLEX = "COMPLEX"
@@ -55,6 +56,11 @@ DEFAULT_CLASSIFICATION_RUBRIC: Final[ClassificationRubric] = ClassificationRubri
 LLM_CLASSIFIER_TYPES: Final[frozenset[str]] = frozenset({"llm", "heuristic_first", "hybrid"})
 
 
+# The ladder as it has always shipped. NON_REASONING is absent because it is opt-in: an existing
+# router must not gain a rubric bullet, a wire label, or a rung it never configured, and the
+# heuristic_v2 artifact is trained on exactly these four classes. Read the active ladder off the
+# config (`tier_names`, `active_tier_severity_order`) rather than this constant wherever the
+# operator's `enable_non_reasoning_tier` can reach.
 TIER_SEVERITY_ORDER: Final[tuple[ComplexityTier, ...]] = (
     ComplexityTier.SIMPLE,
     ComplexityTier.MEDIUM,
@@ -62,6 +68,16 @@ TIER_SEVERITY_ORDER: Final[tuple[ComplexityTier, ...]] = (
     ComplexityTier.REASONING,
 )
 
+NON_REASONING_TIER_SEVERITY_ORDER: Final[tuple[ComplexityTier, ...]] = (
+    ComplexityTier.NON_REASONING,
+    *TIER_SEVERITY_ORDER,
+)
+
+
+def tier_severity_order(non_reasoning_enabled: bool) -> tuple[ComplexityTier, ...]:
+    """The built-in ladder for one router, tier 0 included only when it opted in."""
+    return NON_REASONING_TIER_SEVERITY_ORDER if non_reasoning_enabled else TIER_SEVERITY_ORDER
+
 DEFAULT_TIER_DISTANCE_PENALTY: Final[float] = 0.5
 
 DEFAULT_CLASSIFIER_CONTEXT_WINDOW_SIZE: Final[int] = 3
@@ -142,6 +158,9 @@ def normalize_classification_examples(value: str | None) -> str | None:
     return _normalize_operator_section(value, "classification_examples", MAX_CLASSIFICATION_EXAMPLES_CHARS)
 
 
+_BUILT_IN_TIER_NAMES: Final[str] = ", ".join(ComplexityTier.__members__)
+
+
 class TierDefinition(BaseModel):
     """An operator-defined tier: the name the LLM classifier must return and its rubric description."""
 
@@ -152,7 +171,7 @@ class TierDefinition(BaseModel):
         default=None,
         description=(
             "What belongs in this tier; rendered as this tier's bullet in the classifier rubric. "
-            "Required unless the name is a built-in tier (SIMPLE/MEDIUM/COMPLEX/REASONING), which "
+            f"Required unless the name is a built-in tier ({_BUILT_IN_TIER_NAMES}), which "
             "inherits the built-in criteria when omitted"
         ),
     )
@@ -174,7 +193,7 @@ class TierDefinition(BaseModel):
         if description is None and name.upper() not in ComplexityTier.__members__:
             raise ValueError(
                 f"tier_definitions entry {name!r} must have a description: only the built-in tiers "
-                "(SIMPLE, MEDIUM, COMPLEX, REASONING) carry one the rubric can inherit"
+                f"({_BUILT_IN_TIER_NAMES}) carry one the rubric can inherit"
             )
         rendered_on_one_line: Final = (name, description or "")
         if any("\n" in part or "\r" in part for part in rendered_on_one_line):
@@ -703,6 +722,20 @@ class ComplexityRouterConfig(BaseModel):
         default_factory=dict,
     )
 
+    enable_non_reasoning_tier: bool = Field(
+        default=False,
+        description=(
+            "Add NON_REASONING as a fifth built-in tier below SIMPLE, for operational agent traffic "
+            "that relays or reformats information rather than reasoning about it. Off by default: "
+            "turning it on adds a rung to this router's ladder, a bullet to the LLM classifier's "
+            "rubric, and a value the classifier may return, all of which move tier decisions and "
+            "spend on an already-deployed router. Requires an LLM classifier or a custom classifier "
+            "plugin, since the heuristic scorers cannot produce the tier, and a model in `tiers` "
+            "under the NON_REASONING key. Escalation still walks up from it, and it is never the "
+            "savings baseline or a `heuristic_v2` prediction."
+        ),
+    )
+
     tier_definitions: tuple[TierDefinition, ...] | None = Field(
         default=None,
         description=(
@@ -1491,11 +1524,16 @@ class ComplexityRouterConfig(BaseModel):
         which still makes it a dependency on every one of those requests."""
         return self.classifier_type in LLM_CLASSIFIER_TYPES
 
+    def active_tier_severity_order(self) -> tuple[ComplexityTier, ...]:
+        """This router's built-in ladder, ascending. Meaningless for a custom tier set, whose
+        severity order is tier_definitions list order over names that are not enum members."""
+        return tier_severity_order(self.enable_non_reasoning_tier)
+
     def tier_names(self) -> tuple[str, ...]:
         """The active tier names: the defined names, or the built-in set in severity order."""
         if self.tier_definitions is not None:
             return tuple(definition.name for definition in self.tier_definitions)
-        return tuple(tier.value for tier in TIER_SEVERITY_ORDER)
+        return tuple(tier.value for tier in self.active_tier_severity_order())
 
     def classifier_wire_labels(self) -> tuple[str, ...]:
         """The tier names the classifier is told to emit: defined names, or the display labels."""
@@ -1587,6 +1625,41 @@ class ComplexityRouterConfig(BaseModel):
             if present
         )
 
+    @model_validator(mode="after")
+    def _validate_non_reasoning_tier(self) -> "ComplexityRouterConfig":
+        """Gate the opt-in fifth tier on the two things that make it reachable and routable.
+
+        The heuristic scorers cannot emit it (the v1 score ladder has no rung below simple_medium
+        and the v2 artifact is trained on four classes), so a router whose classifier can never
+        return the tier would pay for a rubric bullet and a configured pool that no request reaches.
+        """
+        non_reasoning_key: Final = ComplexityTier.NON_REASONING.value
+        if not self.enable_non_reasoning_tier:
+            if not self.has_custom_tiers and non_reasoning_key in self.tiers:
+                raise ValueError(
+                    f"tiers names {non_reasoning_key} but enable_non_reasoning_tier is False, so no request "
+                    "can route there; set enable_non_reasoning_tier: true or drop the tier"
+                )
+            return self
+        if self.has_custom_tiers:
+            raise ValueError(
+                "enable_non_reasoning_tier cannot be combined with tier_definitions: a custom tier set "
+                f"replaces the built-in ladder, so name a tier {non_reasoning_key} in tier_definitions instead"
+            )
+        if self.classifier_type not in ("llm", "custom"):
+            raise ValueError(
+                f"enable_non_reasoning_tier requires classifier_type 'llm' or 'custom', got "
+                f"{self.classifier_type!r}: the heuristic scorers only produce the four tiers from SIMPLE up, "
+                f"so nothing would ever classify as {non_reasoning_key}"
+            )
+        if not self.tiers.get(non_reasoning_key):
+            raise ValueError(
+                f"enable_non_reasoning_tier requires tiers to map {non_reasoning_key} to at least one model: "
+                "the tier exists to send operational traffic somewhere cheaper, and an unconfigured tier "
+                "would fall through to the default model"
+            )
+        return self
+
     @model_validator(mode="after")
     def _validate_tier_definitions(self) -> "ComplexityRouterConfig":
         if self.tier_definitions is None:
@@ -1609,7 +1682,7 @@ class ComplexityRouterConfig(BaseModel):
         if self.classifier_type in ("heuristic", "heuristic_v2", "heuristic_first", "hybrid"):
             raise ValueError(
                 "tier_definitions requires classifier_type 'llm' or 'custom': the heuristic scorer only "
-                "produces the four built-in tiers, as does heuristic_v2"
+                "produces the built-in tiers from SIMPLE up, as does heuristic_v2"
             )
         conflicts: Final = self._tier_definition_conflicts()
         if conflicts:
@@ -1762,16 +1835,18 @@ class ComplexityRouterConfig(BaseModel):
         return self.tier_labels.get(tier, "").strip() or tier.value
 
     def labeled_tiers(self) -> tuple[tuple[ComplexityTier, str], ...]:
-        """Every tier paired with its display name, in ascending severity order."""
-        return tuple((tier, self.tier_label(tier)) for tier in TIER_SEVERITY_ORDER)
+        """Every active tier paired with its display name, in ascending severity order."""
+        return tuple((tier, self.tier_label(tier)) for tier in self.active_tier_severity_order())
 
     def tier_for_label(self, label: str) -> ComplexityTier | None:
-        """Resolve a display name back to its tier, case-insensitively, then canonical names."""
+        """Resolve a display name back to its active tier, case-insensitively, then canonical
+        names. A tier this router did not opt into resolves to None, so a classifier naming
+        NON_REASONING on a four-tier router is an unparseable reply rather than a fifth rung."""
         folded: Final = label.strip().casefold()
         labeled: Final = self.labeled_tiers()
         return next(
             (tier for tier, tier_label in labeled if tier_label.casefold() == folded),
-            next((tier for tier in TIER_SEVERITY_ORDER if tier.value.casefold() == folded), None),
+            next((tier for tier, _ in labeled if tier.value.casefold() == folded), None),
         )
 
 
diff --git a/litellm/types/proxy/public_endpoints/public_endpoints.py b/litellm/types/proxy/public_endpoints/public_endpoints.py
index fa73926305b..fb5a37c45fc 100644
--- a/litellm/types/proxy/public_endpoints/public_endpoints.py
+++ b/litellm/types/proxy/public_endpoints/public_endpoints.py
@@ -74,10 +74,14 @@ class SupportedEndpointsResponse(BaseModel):
 
 
 class AutoRouterPresetTiers(BaseModel):
-    """Exactly the four built-in tiers the dashboard's preset prefill can apply.
+    """The built-in tiers the dashboard's preset prefill can apply.
 
     extra="forbid" on purpose: a tier name this dashboard cannot apply would grey out or crash the
-    picker, so such a catalog is rejected wholesale and the bundled one serves instead.
+    picker, so such a catalog is rejected wholesale and the bundled one serves instead. NON_REASONING
+    is optional rather than required so this proxy accepts both a catalog that ships the opt-in fifth
+    tier and the four-tier catalogs that predate it. It stays None when unset rather than defaulting
+    to an empty pool, so a four-tier preset serves the tier set it was published with instead of
+    growing a key the dashboard would render as an empty fifth tier row.
     """
 
     model_config = ConfigDict(extra="forbid")
@@ -86,6 +90,7 @@ class AutoRouterPresetTiers(BaseModel):
     MEDIUM: Sequence[str]
     COMPLEX: Sequence[str]
     REASONING: Sequence[str]
+    NON_REASONING: Sequence[str] | None = None
 
 
 class AutoRouterPresetConfig(BaseModel):
diff --git a/tests/test_litellm/router_strategy/test_complexity_router.py b/tests/test_litellm/router_strategy/test_complexity_router.py
index 5b1d8562abd..ce9cd5d3b7d 100644
--- a/tests/test_litellm/router_strategy/test_complexity_router.py
+++ b/tests/test_litellm/router_strategy/test_complexity_router.py
@@ -44,6 +44,7 @@ from litellm.router_strategy.complexity_router.config import (
     DEFAULT_CLASSIFIER_CONTEXT_WINDOW_SIZE,
     DEFAULT_COMPLEXITY_CONFIG,
     DEFAULT_TECHNICAL_KEYWORDS,
+    TIER_SEVERITY_ORDER,
     ClassificationRubric,
     ClassifierLLMConfig,
     ComplexityRouterConfig,
@@ -11044,7 +11045,7 @@ async def test_tier_model_params_reach_the_hook_response_and_override_client_val
 async def test_tier_params_mask_credentials_in_routing_decision(route, mock_router_instance):
     params = {"reasoning_effort": "xhigh", "api_key": "secret-tier-key"}
     config = {
-        "tiers": {tier.value: {"model_name": "opus", "litellm_params": params} for tier in ComplexityTier},
+        "tiers": {tier.value: {"model_name": "opus", "litellm_params": params} for tier in TIER_SEVERITY_ORDER},
         "keyword_tier_rules": [{"keywords": ["reason carefully"], "tier": "REASONING"}] if route == "keyword" else None,
         "session_affinity": route == "session",
     }
@@ -13212,3 +13213,197 @@ class TestClassifierVision:
     def test_max_images_must_be_positive(self):
         with pytest.raises(ValidationError):
             ClassifierLLMConfig(model="clf", vision={"enabled": True, "max_images": 0})
+
+
+NON_REASONING_TIERS: Final = {
+    "NON_REASONING": "gpt-4o-mini",
+    "SIMPLE": "gpt-4o-mini",
+    "MEDIUM": "gpt-4o",
+    "COMPLEX": "claude-sonnet-4-20250514",
+    "REASONING": "o1-preview",
+}
+
+
+class TestNonReasoningTier:
+    """The opt-in fifth built-in tier below SIMPLE.
+
+    Two properties carry the feature. A router that did not opt in must be byte-identical to one
+    built before the tier existed, because the tier set feeds the classifier rubric, the wire enum,
+    and the savings baseline, all of which move live routing decisions and spend. A router that did
+    opt in must be able to actually reach the tier and escalate off it.
+    """
+
+    @staticmethod
+    def _router(mock_router_instance, **overrides) -> ComplexityRouter:
+        config: Final = {
+            "tiers": dict(NON_REASONING_TIERS),
+            "enable_non_reasoning_tier": True,
+            "classifier_type": "llm",
+            "classifier_llm_config": {"model": "haiku-classifier"},
+            **overrides,
+        }
+        return ComplexityRouter(
+            model_name="test-non-reasoning-router",
+            litellm_router_instance=mock_router_instance,
+            complexity_router_config=config,
+        )
+
+    def test_ladder_gains_a_rung_below_simple_only_when_enabled(self):
+        """Tier 0 sits at the bottom. Anywhere else and escalation, the savings baseline, and
+        heuristic_first's 'highest tier' check would all read a different ladder."""
+        enabled: Final = ComplexityRouterConfig(
+            tiers=dict(NON_REASONING_TIERS),
+            enable_non_reasoning_tier=True,
+            classifier_type="llm",
+            classifier_llm_config={"model": "clf"},
+        )
+        assert enabled.tier_names() == ("NON_REASONING", "SIMPLE", "MEDIUM", "COMPLEX", "REASONING")
+        assert ComplexityRouterConfig().tier_names() == ("SIMPLE", "MEDIUM", "COMPLEX", "REASONING")
+
+    def test_default_router_is_unchanged_by_the_tier_existing(self):
+        """The regression that matters for every already-deployed router: the enum grew a member,
+        and nothing a four-tier router sends or resolves may change because of it."""
+        default: Final = ComplexityRouterConfig()
+        assert default.enable_non_reasoning_tier is False
+        assert "NON_REASONING" not in DEFAULT_COMPLEXITY_CONFIG.tiers
+        assert default.classifier_wire_labels() == ("SIMPLE", "MEDIUM", "COMPLEX", "REASONING")
+        assert default.labeled_tiers() == TIER_SEVERITY_ORDER_LABELED
+        assert default.resolve_classified_tier("NON_REASONING") is None
+
+    @pytest.mark.parametrize("preset", tuple(ClassificationRubric))
+    def test_rubric_gains_the_bullet_only_when_enabled(self, preset):
+        """Every preset renders one bullet per active tier, so an unset toggle must leave all four
+        shipped rubrics byte-identical while an enabled one must actually describe the new tier."""
+        enabled: Final = ComplexityRouterConfig(
+            tiers=dict(NON_REASONING_TIERS),
+            enable_non_reasoning_tier=True,
+            classifier_type="llm",
+            classifier_llm_config={"model": "clf"},
+        )
+        on: Final = classification_system_prompt(3, None, enabled.labeled_tiers(), preset)
+        off: Final = classification_system_prompt(3, None, ComplexityRouterConfig().labeled_tiers(), preset)
+        assert "- NON_REASONING:" in on
+        assert "- NON_REASONING" not in off
+
+    def test_enabled_router_puts_the_tier_on_the_classifier_wire(self, mock_router_instance):
+        """The response schema's enum is what the classifier may return; without the new label the
+        tier would be unreachable no matter what the rubric says."""
+        router: Final = self._router(mock_router_instance)
+        enum: Final = router._classifier_response_format["json_schema"]["schema"]["properties"]["tier"]["enum"]
+        assert enum == ["NON_REASONING", "SIMPLE", "MEDIUM", "COMPLEX", "REASONING"]
+
+    @pytest.mark.asyncio
+    async def test_classifier_verdict_routes_to_the_tier_model(self, mock_router_instance):
+        """End to end on the LLM path: the classifier names the tier and the request lands on that
+        tier's model with the decision recording it."""
+        mock_router_instance.acompletion = AsyncMock(return_value=_llm_response('{"tier": "NON_REASONING"}'))
+        router: Final = self._router(mock_router_instance, tiers={**NON_REASONING_TIERS, "NON_REASONING": "cheap-relay"})
+        response = await router.async_pre_routing_hook(
+            model="test-non-reasoning-router",
+            request_kwargs={},
+            messages=[{"role": "user", "content": "here is the file, pass it along"}],
+        )
+        assert response.model == "cheap-relay"
+        assert response.routing_decision["tier"] == "NON_REASONING"
+        assert response.routing_decision["cause"] == "llm_classifier"
+
+    @pytest.mark.asyncio
+    async def test_a_four_tier_router_ignores_a_non_reasoning_verdict(self, llm_complexity_router, mock_router_instance):
+        """A classifier that names the tier at a router which never opted in must be an unparseable
+        reply that falls back, not a silent route to a tier the operator did not configure."""
+        mock_router_instance.acompletion = AsyncMock(return_value=_llm_response('{"tier": "NON_REASONING"}'))
+        outcome = await llm_complexity_router.aclassify("relay this")
+        assert outcome.tier != ComplexityTier.NON_REASONING
+        assert outcome.cause != "llm_classifier"
+
+    def test_escalation_walks_up_off_the_tier(self, mock_router_instance):
+        """Escalation is a built-in-ladder feature and the issue asks for it from the new tier."""
+        router: Final = self._router(mock_router_instance)
+        assert router._escalate_tier(ComplexityTier.NON_REASONING) == ComplexityTier.SIMPLE
+        assert router._escalate_tier(ComplexityTier.REASONING) == ComplexityTier.REASONING
+
+    def test_escalation_skips_the_tier_when_unconfigured(self, mock_router_instance):
+        """SIMPLE must still escalate to MEDIUM rather than to the cheaper new rung, or escalation
+        would route below the model the caller would otherwise have received."""
+        router: Final = self._router(
+            mock_router_instance,
+            tiers={"NON_REASONING": "cheap-relay", "SIMPLE": "gpt-4o-mini", "MEDIUM": "gpt-4o"},
+        )
+        assert router._escalate_tier(ComplexityTier.SIMPLE) == ComplexityTier.MEDIUM
+
+    def test_tier_zero_is_never_the_savings_baseline(self, mock_router_instance):
+        """Savings are measured against the hardest configured tier. If tier 0 could win that pick,
+        every enabled router's reported savings would invert."""
+        assert self._router(mock_router_instance)._hardest_tier_models() == ("o1-preview",)
+        cheap_only: Final = self._router(
+            mock_router_instance, tiers={"NON_REASONING": "cheap-relay", "SIMPLE": "gpt-4o-mini"}
+        )
+        assert cheap_only._hardest_tier_models() == ("gpt-4o-mini",)
+
+    def test_the_tier_gets_its_own_display_label(self, mock_router_instance):
+        """tier_labels covers the built-in tiers, so the new rung must be renameable like the rest."""
+        router: Final = self._router(mock_router_instance, tier_labels={"NON_REASONING": "Relay"})
+        assert router.config.classifier_wire_labels()[0] == "Relay"
+        assert router.config.resolve_classified_tier("relay") == ComplexityTier.NON_REASONING
+
+    @pytest.mark.parametrize(
+        "overrides, expected",
+        (
+            ({"classifier_type": "heuristic", "classifier_llm_config": None}, "requires classifier_type"),
+            ({"classifier_type": "heuristic_v2", "classifier_llm_config": None}, "requires classifier_type"),
+            ({"tiers": {"SIMPLE": "a", "MEDIUM": "b"}}, "at least one model"),
+        ),
+        ids=["heuristic", "heuristic_v2", "no_model"],
+    )
+    def test_unreachable_or_unroutable_configs_are_rejected(self, overrides, expected):
+        """The toggle is refused wherever it could not do anything: the heuristic scorers cannot
+        emit the tier, and an unconfigured tier would fall through to the default model."""
+        config: Final = {
+            "tiers": dict(NON_REASONING_TIERS),
+            "enable_non_reasoning_tier": True,
+            "classifier_type": "llm",
+            "classifier_llm_config": {"model": "clf"},
+            **overrides,
+        }
+        with pytest.raises(ValidationError, match=expected):
+            ComplexityRouterConfig.model_validate(config)
+
+    def test_the_tier_cannot_be_configured_without_the_toggle(self):
+        """Silently ignoring the key would leave an operator paying for a pool nothing routes to."""
+        with pytest.raises(ValidationError, match="no request can route there"):
+            ComplexityRouterConfig(tiers={"NON_REASONING": "cheap", "SIMPLE": "a"})
+
+    def test_the_toggle_is_refused_alongside_a_custom_tier_set(self):
+        """A custom tier set replaces the built-in ladder, so both at once has no meaning."""
+        with pytest.raises(ValidationError, match="cannot be combined with tier_definitions"):
+            ComplexityRouterConfig(
+                enable_non_reasoning_tier=True,
+                classifier_type="llm",
+                classifier_llm_config={"model": "clf"},
+                tier_definitions=({"name": "lo", "description": "d"}, {"name": "hi", "description": "d"}),
+                tiers={"lo": "a", "hi": "b"},
+                fallback_tier="lo",
+            )
+
+    def test_heuristic_v2_predictions_never_reach_the_new_tier(self, mock_router_instance):
+        """The bundled artifact is trained on four classes, so its 1-based tier index must keep
+        mapping onto SIMPLE..REASONING. Reading the enabled ladder here would shift every
+        prediction down a rung and make REASONING unreachable."""
+        router: Final = ComplexityRouter(
+            model_name="v2-router",
+            litellm_router_instance=mock_router_instance,
+            complexity_router_config={
+                "tiers": {k: v for k, v in NON_REASONING_TIERS.items() if k != "NON_REASONING"},
+                "classifier_type": "heuristic_v2",
+            },
+        )
+        outcome = router._classify_with_heuristic_v2("implement a distributed rate limiter under concurrency")
+        assert outcome.tier in TIER_SEVERITY_ORDER
+        # One probability signal per trained class, named for the tier that class means. A ladder
+        # shifted by the new rung would relabel all four and lose REASONING off the end.
+        assert tuple(signal.split(":")[1].split("=")[0] for signal in outcome.signals[1:]) == (
+            "simple",
+            "medium",
+            "complex",
+            "reasoning",
+        )
diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
index 2970e14b335..7632c8f9a70 100644
--- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
@@ -102,7 +102,7 @@ describe("ComplexityRouterConfig", () => {
     renderWithProviders(<ComplexityRouterConfig {...baseProps} onChange={onChange} />);
 
     await user.click(screen.getByText("Advanced: Response Format"));
-    await user.click(screen.getByRole("switch"));
+    await user.click(screen.getByRole("switch", { name: "Return raw model name" }));
 
     expect(onChange).toHaveBeenCalledWith({
       ...defaultValue,
@@ -495,7 +495,7 @@ describe("ComplexityRouterConfig", () => {
       />,
     );
     fireEvent.click(screen.getByText("Advanced: Keyword/Semantic Matching"));
-    await user.click(screen.getByRole("switch"));
+    await user.click(screen.getByRole("switch", { name: "Semantic keyword matching" }));
     expect(onSemanticMatchingEnabledChange).toHaveBeenCalledWith(true, expect.anything());
   });
 
diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
index d7df6ce33bb..01e65914c67 100644
--- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
@@ -75,11 +75,16 @@ export const DEFAULT_CLASSIFICATION_MODE: ClassificationMode = "every_request";
  */
 export type ClassificationFrequency = ClassificationMode | "session";
 
+/**
+ * NON_REASONING is optional because it is the opt-in fifth tier: a router that never enabled it
+ * stores no such key, and hydrating one in would send an empty pool the backend rejects.
+ */
 export type ComplexityTiers = {
   SIMPLE: string[];
   MEDIUM: string[];
   COMPLEX: string[];
   REASONING: string[];
+  NON_REASONING?: string[];
 };
 
 export type ClassificationRubric = "legacy" | "agentic" | "chat" | "business";
@@ -378,6 +383,11 @@ export type ComplexityTierLabels = Partial<Record<keyof ComplexityTiers, string>
 
 export interface ComplexityRouterConfigValue {
   tiers: ComplexityTiers;
+  /**
+   * Opt into the NON_REASONING tier below SIMPLE. Off means the router keeps the four-tier ladder
+   * it has always had, so an existing router's rubric and tier decisions cannot move under it.
+   */
+  enable_non_reasoning_tier?: boolean;
   custom_tier_set?: CustomTierSet;
   tier_labels?: ComplexityTierLabels;
   /** An explicit pin. Unset means the default tracks the tiers - see resolveComplexityDefaultModel. */
@@ -494,6 +504,11 @@ export const TIER_DESCRIPTIONS: Record<
   keyof ComplexityTiers,
   { label: string; description: string; examples: string }
 > = {
+  NON_REASONING: {
+    label: "Non-reasoning",
+    description: "Operational relay work: passing information along with no judgment about it",
+    examples: '"Reformat this tool output", "Acknowledge the write succeeded"',
+  },
   SIMPLE: {
     label: "Simple",
     description: "Basic questions, greetings, simple factual queries",
@@ -516,8 +531,16 @@ export const TIER_DESCRIPTIONS: Record<
   },
 };
 
+/** Every built-in tier name, including the opt-in one, for label and membership checks. */
 export const TIER_KEYS = Object.keys(TIER_DESCRIPTIONS) as Array<keyof ComplexityTiers>;
 
+/**
+ * The four-tier ladder in ascending severity, which is what a router sends unless it opted into
+ * NON_REASONING. Mirrors TIER_SEVERITY_ORDER in the backend config; use tierOrderFor to get the
+ * ladder one router actually renders.
+ */
+export const BUILT_IN_TIER_ORDER: Array<keyof ComplexityTiers> = ["SIMPLE", "MEDIUM", "COMPLEX", "REASONING"];
+
 export const effectiveTierLabel = (tier: keyof ComplexityTiers, tierLabels: ComplexityTierLabels | undefined): string =>
   tierLabels?.[tier]?.trim() || TIER_DESCRIPTIONS[tier].label;
 
@@ -528,9 +551,46 @@ export const DEFAULT_HYBRID_BOUNDARY_MARGIN = 0.03;
 
 /**
  * Tiers the heuristic_first threshold may name. The top tier is excluded because it would short
- * circuit every request and leave the classifier unreachable, which the backend rejects.
+ * circuit every request and leave the classifier unreachable, which the backend rejects. So is
+ * NON_REASONING, which the backend refuses alongside heuristic_first because the local scorer
+ * cannot produce it.
  */
-export const HEURISTIC_FIRST_MAX_TIER_KEYS = TIER_KEYS.slice(0, -1);
+export const HEURISTIC_FIRST_MAX_TIER_KEYS = BUILT_IN_TIER_ORDER.slice(0, -1);
+
+/**
+ * The opt-in fifth tier. Only offered on the LLM classification method, matching the backend: the
+ * heuristic scorers cannot produce the tier, so enabling it there would buy a rubric bullet and a
+ * model pool that no request ever reaches.
+ */
+const NonReasoningTierToggle: React.FC<{
+  value: ComplexityRouterConfigValue;
+  onChange: (value: ComplexityRouterConfigValue) => void;
+  available: boolean;
+}> = ({ value, onChange, available }) => (
+  <>
+    <div className="flex items-center gap-2 mt-4 mb-2">
+      <Switch
+        checked={value.enable_non_reasoning_tier === true}
+        disabled={!available}
+        onCheckedChange={(enabled) => {
+          const { NON_REASONING: _dropped, ...keptTiers } = value.tiers;
+          onChange({
+            ...value,
+            enable_non_reasoning_tier: enabled ? true : undefined,
+            tiers: enabled ? { ...keptTiers, NON_REASONING: value.tiers.NON_REASONING ?? [] } : keptTiers,
+          });
+        }}
+        aria-label="Add a non-reasoning tier"
+      />
+      <strong className="font-semibold">Add a non-reasoning tier</strong>
+    </div>
+    <span className="block text-xs mb-3 text-muted-foreground">
+      Adds NON_REASONING below Simple, for operational agent traffic that relays or reformats information rather than
+      reasoning about it. Escalation still moves up out of it when a request needs more.
+      {!available && " Requires the LLM classification method."}
+    </span>
+  </>
+);
 
 const PlanModeOverrideControls: React.FC<{
   value: ComplexityRouterConfigValue;
@@ -742,6 +802,10 @@ const ComplexityRouterConfig: React.FC<ComplexityRouterConfigProps> = ({
             );
           })}
 
+          {!customTierSet && (
+            <NonReasoningTierToggle value={value} onChange={onChange} available={value.classifier_type === "llm"} />
+          )}
+
           <TierSetToolbar
             editing={editingTiers}
             isCustomSet={Boolean(customTierSet)}
diff --git a/ui/litellm-dashboard/src/components/add_model/KeywordTierRules.tsx b/ui/litellm-dashboard/src/components/add_model/KeywordTierRules.tsx
index c8529e02139..47f6d89aed3 100644
--- a/ui/litellm-dashboard/src/components/add_model/KeywordTierRules.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/KeywordTierRules.tsx
@@ -9,7 +9,7 @@ import React from "react";
 import { emptyKeywordTierRuleIndexes } from "./complexity_router_keywords";
 import { tierOptions } from "./complexity_router_tiers";
 
-export type ComplexityTier = "SIMPLE" | "MEDIUM" | "COMPLEX" | "REASONING";
+export type ComplexityTier = "NON_REASONING" | "SIMPLE" | "MEDIUM" | "COMPLEX" | "REASONING";
 
 export interface KeywordTierRule {
   id: string;
diff --git a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
index 2d0d6bc2fd8..02dd833df84 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
@@ -374,6 +374,7 @@ const AddAutoRouterTab: React.FC<AddAutoRouterTabProps> = ({
 
   const complexityRouterConfigParams: BuildComplexityRouterConfigParams = {
     tiers: complexityRouterConfig.tiers,
+    enableNonReasoningTier: complexityRouterConfig.enable_non_reasoning_tier,
     customTierSet: complexityRouterConfig.custom_tier_set,
     defaultModel: complexityRouterConfig.default_model,
     planModeMinTier: complexityRouterConfig.plan_mode_min_tier,
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
index 7769fb832fe..2f36ec2f43d 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
@@ -119,6 +119,7 @@ const scorerKnobPayload = ({
 
 export interface BuildComplexityRouterConfigParams {
   tiers: ComplexityTiers;
+  enableNonReasoningTier?: boolean;
   customTierSet?: CustomTierSet;
   defaultModel: string | undefined;
   planModeMinTier: string | undefined;
@@ -180,6 +181,7 @@ export interface TierDefinitionPayload {
 
 export interface ComplexityRouterConfigPayload {
   tiers: ComplexityTiers | Record<string, string[]>;
+  enable_non_reasoning_tier?: boolean;
   tier_definitions?: TierDefinitionPayload[];
   fallback_tier?: string;
   default_model?: string;
@@ -460,6 +462,7 @@ const classifierWireFields = (
 
 export const buildComplexityRouterConfig = ({
   tiers,
+  enableNonReasoningTier,
   customTierSet,
   defaultModel,
   planModeMinTier,
@@ -535,6 +538,9 @@ export const buildComplexityRouterConfig = ({
 
   const payload: ComplexityRouterConfigPayload = {
     tiers,
+    // Only written when on, and never beside a custom tier set: the backend rejects the two
+    // together, and an explicit false on a four-tier router would be a key it never carried.
+    ...(!customTierSet && enableNonReasoningTier && { enable_non_reasoning_tier: true }),
     ...(serializedTierModelConfigs && { tier_model_configs: serializedTierModelConfigs }),
     ...(defaultModel?.trim() && { default_model: defaultModel }),
     ...(planModeMinTier?.trim() && { plan_mode_min_tier: planModeMinTier }),
diff --git a/ui/litellm-dashboard/src/components/add_model/complexity_router_tiers.ts b/ui/litellm-dashboard/src/components/add_model/complexity_router_tiers.ts
index eb58c94b789..3fec63518e5 100644
--- a/ui/litellm-dashboard/src/components/add_model/complexity_router_tiers.ts
+++ b/ui/litellm-dashboard/src/components/add_model/complexity_router_tiers.ts
@@ -1,6 +1,6 @@
 import type { ComplexityTier } from "./KeywordTierRules";
 import type { ModelGroup } from "@/components/llm_calls/fetch_models";
-import { TIER_ORDER } from "./tier_rows";
+import { ALL_BUILT_IN_TIERS, TIER_ORDER } from "./tier_rows";
 
 export type TierModelParams = Record<string, unknown>;
 
@@ -145,13 +145,14 @@ export const pruneTierModelParams = (
 };
 
 export const DEFAULT_TIER_LABELS: Record<ComplexityTier, string> = {
+  NON_REASONING: "Non-reasoning",
   SIMPLE: "Simple",
   MEDIUM: "Medium",
   COMPLEX: "Complex",
   REASONING: "Reasoning",
 };
 
-const isBuiltInTier = (tier: string): tier is ComplexityTier => (TIER_ORDER as string[]).includes(tier);
+const isBuiltInTier = (tier: string): tier is ComplexityTier => (ALL_BUILT_IN_TIERS as string[]).includes(tier);
 
 const builtInTierLabel = (
   tierLabels: Partial<Record<ComplexityTier, string>> | undefined,
@@ -164,7 +165,7 @@ export const tierRowLabel = (
   row: { id: string; name: string },
   tierLabels?: Partial<Record<ComplexityTier, string>>,
 ): string => {
-  const builtIn = TIER_ORDER.find((tier) => tier === row.id);
+  const builtIn = ALL_BUILT_IN_TIERS.find((tier) => tier === row.id);
   const named = row.name.trim();
   if (!builtIn || named !== builtIn) return named || "New";
   return builtInTierLabel(tierLabels, builtIn);
diff --git a/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts b/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts
index df50f116f60..07b9a4702aa 100644
--- a/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts
@@ -168,3 +168,34 @@ describe("tierParamsByRowId", () => {
     expect(tierParamsByRowId(undefined, rows)).toBeUndefined();
   });
 });
+
+describe("the opt-in non-reasoning tier", () => {
+  const withTierZero = { SIMPLE: ["a"], MEDIUM: ["b"], COMPLEX: ["c"], REASONING: ["d"], NON_REASONING: ["cheap"] };
+
+  it("renders no fifth row while the toggle is off", () => {
+    // The regression for every existing router: the tier exists in the type, and the form must
+    // still show the four rows it always showed.
+    expect(activeTierRows({ tiers: withTierZero }).map((row) => row.id)).toEqual([
+      "SIMPLE",
+      "MEDIUM",
+      "COMPLEX",
+      "REASONING",
+    ]);
+  });
+
+  it("renders it first, as tier 0, when enabled", () => {
+    const rows = activeTierRows({ tiers: withTierZero, enable_non_reasoning_tier: true });
+    expect(rows.map((row) => row.id)).toEqual(["NON_REASONING", "SIMPLE", "MEDIUM", "COMPLEX", "REASONING"]);
+    expect(rows[0].models).toEqual(["cheap"]);
+  });
+
+  it("renders an enabled tier with no models as an empty row rather than crashing", () => {
+    const rows = activeTierRows({ tiers, enable_non_reasoning_tier: true });
+    expect(rows[0]).toEqual({ id: "NON_REASONING", name: "NON_REASONING", definition: "", models: [], params: {} });
+  });
+
+  it("counts as a built-in name either way, so a custom set cannot claim the name", () => {
+    expect(isBuiltInTierName("NON_REASONING")).toBe(true);
+    expect(isBuiltInTierName("non_reasoning")).toBe(true);
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
index 5e2a32addee..289a5645b51 100644
--- a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
+++ b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
@@ -4,6 +4,16 @@ import type { TierModelParams, TierModelParamsByTier } from "./complexity_router
 
 export const TIER_ORDER: ComplexityTier[] = ["SIMPLE", "MEDIUM", "COMPLEX", "REASONING"];
 
+/** Every built-in tier name, so a stored NON_REASONING row is recognized as built-in either way. */
+export const ALL_BUILT_IN_TIERS: ComplexityTier[] = ["NON_REASONING", ...TIER_ORDER];
+
+/**
+ * The ladder one router renders, ascending. NON_REASONING is tier 0 and appears only when enabled,
+ * which is what keeps an existing four-tier router's form, payload, and rubric unchanged.
+ */
+export const tierOrderFor = (enableNonReasoningTier: boolean | undefined): ComplexityTier[] =>
+  enableNonReasoningTier ? ALL_BUILT_IN_TIERS : TIER_ORDER;
+
 export interface TierRow {
   id: string;
   name: string;
@@ -27,6 +37,7 @@ export const MAX_TIER_DEFINITION_CHARS = 500;
 
 export interface ActiveTierSet {
   tiers: ComplexityTiers;
+  enable_non_reasoning_tier?: boolean;
   custom_tier_set?: CustomTierSet;
   tier_model_params?: TierModelParamsByTier;
 }
@@ -39,7 +50,8 @@ export const activeTierName = (row: TierRow): string => row.name.trim();
 export const sameTierIdentity = (left: string, right: string): boolean =>
   left.trim().toLowerCase() === right.trim().toLowerCase();
 
-export const isBuiltInTierName = (name: string): boolean => TIER_ORDER.some((tier) => sameTierIdentity(tier, name));
+export const isBuiltInTierName = (name: string): boolean =>
+  ALL_BUILT_IN_TIERS.some((tier) => sameTierIdentity(tier, name));
 
 const builtInRow = (tier: keyof ComplexityTiers, tiers: ComplexityTiers): TierRow => ({
   id: tier,
@@ -51,7 +63,9 @@ const builtInRow = (tier: keyof ComplexityTiers, tiers: ComplexityTiers): TierRo
 // The only reader of the tier set. Built-in rows carry the canonical tier key as their id, so every
 // pointer into the set is a row id in both modes and nothing downstream branches on the mode.
 export const activeTierRows = (value: ActiveTierSet): ActiveTierRow[] => {
-  const rows = value.custom_tier_set?.tiers ?? TIER_ORDER.map((tier) => builtInRow(tier, value.tiers));
+  const rows =
+    value.custom_tier_set?.tiers ??
+    tierOrderFor(value.enable_non_reasoning_tier).map((tier) => builtInRow(tier, value.tiers));
   return rows.map((row) => ({ ...row, params: value.tier_model_params?.[row.id] ?? {} }));
 };
 
diff --git a/ui/litellm-dashboard/src/components/add_model/tier_set_actions.ts b/ui/litellm-dashboard/src/components/add_model/tier_set_actions.ts
index c8254b6bff9..f737e0fdff6 100644
--- a/ui/litellm-dashboard/src/components/add_model/tier_set_actions.ts
+++ b/ui/litellm-dashboard/src/components/add_model/tier_set_actions.ts
@@ -4,11 +4,12 @@ import { pruneTierModelParams } from "./complexity_router_tiers";
 import {
   type ActiveTierRow,
   type TierRow,
-  TIER_ORDER,
+  ALL_BUILT_IN_TIERS,
   activeTierName,
   activeTierRows,
   rowParamsByTier,
   sameTierIdentity,
+  tierOrderFor,
   tierRowById,
   tierRowByName,
 } from "./tier_rows";
@@ -74,13 +75,13 @@ const rulesFollowingRows = (
 // Models and params both come from these rows, so the two cannot be keyed differently.
 const exitToBuiltInTiers = (value: ComplexityRouterConfigValue, rows: readonly ActiveTierRow[]) => {
   const { custom_tier_set: _dropped, ...rest } = value;
-  const builtInRows: ActiveTierRow[] = TIER_ORDER.map(
+  const builtInRows: ActiveTierRow[] = tierOrderFor(value.enable_non_reasoning_tier).map(
     (tier) =>
       tierRowById(rows, tier) ?? {
         id: tier,
         name: tier,
         definition: "",
-        models: value.tiers[tier],
+        models: value.tiers[tier] ?? [],
         params: value.tier_model_params?.[tier] ?? {},
       },
   );
@@ -121,7 +122,7 @@ const nextTierSetValue = (
     case "remove": {
       const removed = tierRowById(rows, action.id);
       const snapshot =
-        removed && (TIER_ORDER as string[]).includes(action.id)
+        removed && (ALL_BUILT_IN_TIERS as string[]).includes(action.id)
           ? { ...value, tiers: { ...value.tiers, [action.id]: removed.models } }
           : value;
       return commitTierRows(
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
index 0144dff3498..5b09dabd214 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
@@ -598,6 +598,10 @@ describe("managed keys survive an untouched open-and-save", () => {
     "stall_escalation_repeat_threshold",
   ]);
 
+  // The opt-in fifth tier requires the LLM classifier, which this heuristic_first fixture is not,
+  // so it gets its own round trip below.
+  const KEYS_ANOTHER_TIER_LADDER_OWNS = new Set(["enable_non_reasoning_tier"]);
+
   it("carries every managed key a built-in router can hold through hydrate then save", () => {
     const hydrated = hydrateComplexityRouterConfig(STORED_ALL_MANAGED, undefined);
     const saved = buildUpdatedComplexityRouterConfig(STORED_ALL_MANAGED, hydrated);
@@ -605,10 +609,55 @@ describe("managed keys survive an untouched open-and-save", () => {
     const dropped = [...MANAGED_COMPLEXITY_ROUTER_KEYS]
       .filter((key) => !KEYS_ANOTHER_CLASSIFIER_TYPE_OWNS.has(key))
       .filter((key) => !KEYS_ANOTHER_CLASSIFICATION_FREQUENCY_OWNS.has(key))
+      .filter((key) => !KEYS_ANOTHER_TIER_LADDER_OWNS.has(key))
       .filter((key) => saved[key] === undefined);
     expect(dropped).toEqual([]);
   });
 
+  it("carries an enabled non-reasoning tier and its models through their own round trip", () => {
+    // `tiers` is rewritten wholesale on save, so this is the regression that matters: opening an
+    // enabled router and saving an unrelated edit must not delete the tier or its pool.
+    const stored: Record<string, unknown> = {
+      ...STORED_ALL_MANAGED,
+      classifier_type: "llm",
+      classifier_llm_config: { model: "haiku-classifier" },
+      heuristic_first_max_tier: undefined,
+      enable_non_reasoning_tier: true,
+      tiers: { ...(STORED_ALL_MANAGED.tiers as object), NON_REASONING: ["gpt-4o-mini"] },
+    };
+    const hydrated = hydrateComplexityRouterConfig(stored, undefined);
+    const saved = buildUpdatedComplexityRouterConfig(stored, hydrated);
+
+    expect(saved.enable_non_reasoning_tier).toBe(true);
+    expect((saved.tiers as Record<string, string[]>).NON_REASONING).toEqual(["gpt-4o-mini"]);
+  });
+
+  it("keeps a stored non-reasoning tier when the stored config never wrote the flag", () => {
+    // A hand-written config that names the tier: the flag is inferred from the stored pool, so an
+    // edit made for an unrelated reason cannot silently turn the tier off.
+    const stored: Record<string, unknown> = {
+      ...STORED_ALL_MANAGED,
+      classifier_type: "llm",
+      classifier_llm_config: { model: "haiku-classifier" },
+      heuristic_first_max_tier: undefined,
+      tiers: { ...(STORED_ALL_MANAGED.tiers as object), NON_REASONING: ["gpt-4o-mini"] },
+    };
+    const saved = buildUpdatedComplexityRouterConfig(stored, hydrateComplexityRouterConfig(stored, undefined));
+
+    expect(saved.enable_non_reasoning_tier).toBe(true);
+    expect((saved.tiers as Record<string, string[]>).NON_REASONING).toEqual(["gpt-4o-mini"]);
+  });
+
+  it("leaves the tier and its flag out of a saved config that never had it on", () => {
+    const saved = buildUpdatedComplexityRouterConfig(
+      STORED_ALL_MANAGED,
+      hydrateComplexityRouterConfig(STORED_ALL_MANAGED, undefined),
+    );
+
+    expect(saved).not.toHaveProperty("enable_non_reasoning_tier");
+    expect(saved.tiers).not.toHaveProperty("NON_REASONING");
+  });
+
   it("carries the stall-escalation keys through their own round trip", () => {
     const stored: Record<string, unknown> = {
       ...STORED_ALL_MANAGED,
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
index 3c0013e267e..283fe978790 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
@@ -91,6 +91,7 @@ interface EditAutoRouterModalProps {
  * hydrators validate themselves stay `unknown`; the ones assigned straight through carry their type. */
 export interface StoredComplexityRouterConfig {
   tiers?: Partial<Record<keyof ComplexityTiers, unknown>>;
+  enable_non_reasoning_tier?: boolean;
   tier_model_configs?: unknown;
   default_model?: string | null;
   plan_mode_min_tier?: unknown;
@@ -135,18 +136,27 @@ export const hydrateComplexityRouterConfig = (
   parsedConfig: StoredComplexityRouterConfig,
   complexityRouterDefaultModel: string | null | undefined,
 ): ComplexityRouterConfigValue => {
+  // `tiers` is rewritten wholesale on save, so a stored tier this misses is deleted from the
+  // router by any edit at all, including one made for an unrelated reason. NON_REASONING is
+  // therefore read back from the stored config rather than assumed absent, and the toggle follows
+  // what is actually stored so the round-trip cannot silently turn the tier off.
+  const storedNonReasoning: string[] = normalizeTierModels(parsedConfig.tiers?.NON_REASONING);
+  const enable_non_reasoning_tier: boolean =
+    parsedConfig.enable_non_reasoning_tier === true || storedNonReasoning.length > 0;
   const hydratedTiers: ComplexityTiers = {
     SIMPLE: normalizeTierModels(parsedConfig.tiers?.SIMPLE),
     MEDIUM: normalizeTierModels(parsedConfig.tiers?.MEDIUM),
     COMPLEX: normalizeTierModels(parsedConfig.tiers?.COMPLEX),
     REASONING: normalizeTierModels(parsedConfig.tiers?.REASONING),
+    ...(enable_non_reasoning_tier && { NON_REASONING: storedNonReasoning }),
   };
 
   const custom_tier_set = hydrateCustomTierSet(parsedConfig);
-  const activeTiers = { tiers: hydratedTiers, custom_tier_set };
+  const activeTiers = { tiers: hydratedTiers, enable_non_reasoning_tier, custom_tier_set };
 
   return {
     tiers: hydratedTiers,
+    enable_non_reasoning_tier,
     custom_tier_set,
     tier_model_params: tierParamsByRowId(
       hydrateTierModelParams(parsedConfig.tiers, parsedConfig.tier_model_configs),
@@ -234,6 +244,7 @@ export const hydrateComplexityRouterConfig = (
 
 export const MANAGED_COMPLEXITY_ROUTER_KEYS = new Set([
   "tiers",
+  "enable_non_reasoning_tier",
   "tier_definitions",
   "fallback_tier",
   "tier_model_configs",
@@ -339,6 +350,7 @@ export const buildUpdatedComplexityRouterConfig = (
 
   const builderParams: BuildComplexityRouterConfigParams = {
     tiers: value.tiers,
+    enableNonReasoningTier: value.enable_non_reasoning_tier,
     customTierSet: value.custom_tier_set,
     defaultModel: value.default_model,
     planModeMinTier: value.plan_mode_min_tier,
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 232b366d8ce..6a60b0db58a 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -23573,16 +23573,22 @@ export interface components {
         };
         /**
          * AutoRouterPresetTiers
-         * @description Exactly the four built-in tiers the dashboard's preset prefill can apply.
+         * @description The built-in tiers the dashboard's preset prefill can apply.
          *
          *     extra="forbid" on purpose: a tier name this dashboard cannot apply would grey out or crash the
-         *     picker, so such a catalog is rejected wholesale and the bundled one serves instead.
+         *     picker, so such a catalog is rejected wholesale and the bundled one serves instead. NON_REASONING
+         *     is optional rather than required so this proxy accepts both a catalog that ships the opt-in fifth
+         *     tier and the four-tier catalogs that predate it. It stays None when unset rather than defaulting
+         *     to an empty pool, so a four-tier preset serves the tier set it was published with instead of
+         *     growing a key the dashboard would render as an empty fifth tier row.
          */
         AutoRouterPresetTiers: {
             /** Complex */
             COMPLEX: string[];
             /** Medium */
             MEDIUM: string[];
+            /** Non Reasoning */
+            NON_REASONING?: string[] | null;
             /** Reasoning */
             REASONING: string[];
             /** Simple */
@@ -25579,7 +25585,7 @@ export interface components {
          * @description Complexity tiers for routing decisions.
          * @enum {string}
          */
-        ComplexityTier: "SIMPLE" | "MEDIUM" | "COMPLEX" | "REASONING";
+        ComplexityTier: "NON_REASONING" | "SIMPLE" | "MEDIUM" | "COMPLEX" | "REASONING";
         /** ComplexityTierModel */
         ComplexityTierModel: {
             /** Litellm Params */
@@ -34947,6 +34953,12 @@ export interface components {
              * @default true
              */
             enable_context_window_escalation: boolean;
+            /**
+             * Enable Non Reasoning Tier
+             * @description Add NON_REASONING as a fifth built-in tier below SIMPLE, for operational agent traffic that relays or reformats information rather than reasoning about it. Off by default: turning it on adds a rung to this router's ladder, a bullet to the LLM classifier's rubric, and a value the classifier may return, all of which move tier decisions and spend on an already-deployed router. Requires an LLM classifier or a custom classifier plugin, since the heuristic scorers cannot produce the tier, and a model in `tiers` under the NON_REASONING key. Escalation still walks up from it, and it is never the savings baseline or a `heuristic_v2` prediction.
+             * @default false
+             */
+            enable_non_reasoning_tier: boolean;
             /**
              * Escalation Keywords
              * @description Case-sensitive phrases a user can include to force a bump to the next-higher complexity tier when they aren't satisfied with results (they can force a stronger model, but not choose which one). Defaults to ['LITELLM ESCALATE'] when unset; set to an empty list to disable.
@@ -37212,7 +37224,7 @@ export interface components {
         TierDefinition: {
             /**
              * Description
-             * @description What belongs in this tier; rendered as this tier's bullet in the classifier rubric. Required unless the name is a built-in tier (SIMPLE/MEDIUM/COMPLEX/REASONING), which inherits the built-in criteria when omitted
+             * @description What belongs in this tier; rendered as this tier's bullet in the classifier rubric. Required unless the name is a built-in tier (NON_REASONING, SIMPLE, MEDIUM, COMPLEX, REASONING), which inherits the built-in criteria when omitted
              */
             description?: string | null;
             /**

From da2e1ff6190d68873a5c3af173ef71fe7dce51c9 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:12:34 -0700
Subject: [PATCH 099/223] fix(fireworks): fold system and developer items into
 instructions on the responses path

Fireworks renders a Responses request through a chat template that only
accepts a system message at the very beginning, so a request carrying
`instructions`, a developer item, and a replayed reasoning item (the shape
Codex CLI sends from its second prompt on) came back 400 with "System
message must be at the beginning".

The leading system or developer items, and any developer item later in
the conversation, now fold their text into top-level `instructions`,
joined with blank lines, and leave `input`. A developer item that closes
the conversation right after an assistant turn stays where it is as a
system item, as does any system or developer item with an image or file
part, so those parts still reach Fireworks. Mid-conversation system items
stay untouched. Non-string `instructions` pass through unchanged.

Folding into `instructions` rather than a leading system item keeps
`previous_response_id` chaining working, since Fireworks prepends the
stored history to `input` and a leading system item would land after it.
This supersedes the leading system item approach from deaadc21d3 and
4807630c2a on this branch. The leading and closing block rules match the
chat path change in #39852.
---
 .../fireworks_ai/responses/transformation.py  | 136 +++++++++++------
 ...t_fireworks_ai_responses_transformation.py | 140 +++++++++++++-----
 2 files changed, 196 insertions(+), 80 deletions(-)

diff --git a/litellm/llms/fireworks_ai/responses/transformation.py b/litellm/llms/fireworks_ai/responses/transformation.py
index 660a07181ff..f7dd774ea18 100644
--- a/litellm/llms/fireworks_ai/responses/transformation.py
+++ b/litellm/llms/fireworks_ai/responses/transformation.py
@@ -1,16 +1,10 @@
-from collections.abc import Mapping
+from collections.abc import Mapping, Sequence
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Final
 from urllib.parse import unquote
 
 import httpx
-from openai.types.responses import (
-    EasyInputMessageParam,
-    ResponseInputContentParam,
-    ResponseInputItemParam,
-    ResponseInputTextParam,
-)
-from pydantic import TypeAdapter
+from openai.types.responses import EasyInputMessageParam, ResponseInputContentParam, ResponseInputItemParam
 
 from litellm.llms.fireworks_ai.common_utils import (
     resolve_fireworks_api_key,
@@ -37,47 +31,90 @@ def _session_params(litellm_params: GenericLiteLLMParams) -> Mapping[str, object
     )
 
 
-_instructions_adapter: Final = TypeAdapter[str | None](str | None)
+_INSTRUCTION_ROLES: Final = frozenset({"system", "developer"})
 
 
-def _instruction_parts(item: ResponseInputItemParam) -> tuple[ResponseInputContentParam, ...] | None:
-    if "role" not in item or (item["role"] != "system" and item["role"] != "developer"):
-        return None
-    content: Final = item["content"]
-    if isinstance(content, str):
-        return (ResponseInputTextParam(type="input_text", text=content),)
-    return tuple(content)
+def _role(item: ResponseInputItemParam) -> str | None:
+    match item:
+        case {"role": str(role)}:
+            return role
+        case _:
+            return None
 
 
-def _leading_system_content(
-    instructions: str | None, parts: tuple[ResponseInputContentParam, ...]
-) -> str | list[ResponseInputContentParam]:
-    text: Final = "\n\n".join(
-        chunk for chunk in (instructions, *(part["text"] for part in parts if part["type"] == "input_text")) if chunk
-    )
-    non_text: Final = tuple(part for part in parts if part["type"] != "input_text")
-    if not non_text:
-        return text
-    return [ResponseInputTextParam(type="input_text", text=text), *non_text] if text else list(non_text)
+def _developer_item_as_system(item: ResponseInputItemParam) -> ResponseInputItemParam:
+    if "role" not in item or item["role"] != "developer":
+        return item
+    return EasyInputMessageParam(role="system", content=item["content"], type="message")
 
 
-def _with_single_leading_system_item(
-    input: str | ResponseInputParam, instructions: str | None
-) -> str | ResponseInputParam:
-    items: Final = () if isinstance(input, str) else tuple(input)
-    instruction_parts: Final = tuple(
-        part for item_parts in map(_instruction_parts, items) if item_parts is not None for part in item_parts
-    )
-    content: Final = _leading_system_content(instructions, instruction_parts)
-    if not content:
+def _developer_items_as_system(input: str | ResponseInputParam) -> str | ResponseInputParam:
+    if isinstance(input, str):
         return input
-    leading: Final = EasyInputMessageParam(role="system", content=content, type="message")
-    rest: Final = (
-        (EasyInputMessageParam(role="user", content=input),)
-        if isinstance(input, str)
-        else tuple(item for item in items if _instruction_parts(item) is None)
+    return [_developer_item_as_system(item) for item in input]
+
+
+def _text_part(part: ResponseInputContentParam) -> str | None:
+    match part:
+        case {"type": "input_text", "text": str(text)}:
+            return text
+        case _:
+            return None
+
+
+def _text_only_content(item: ResponseInputItemParam) -> str | None:
+    match item:
+        case {"role": "system" | "developer", "content": str(text)}:
+            return text
+        case {"role": "system" | "developer", "content": [*parts]}:
+            texts: Final = tuple(map(_text_part, parts))
+            return None if any(text is None for text in texts) else "\n\n".join(text for text in texts if text)
+        case _:
+            return None
+
+
+def _leading_instruction_block_length(roles: Sequence[str | None]) -> int:
+    return next((index for index, role in enumerate(roles) if role not in _INSTRUCTION_ROLES), len(roles))
+
+
+def _closing_instruction_block_start(roles: Sequence[str | None], leading_length: int) -> int:
+    last_conversation_index: Final = next(
+        (index for index in range(len(roles) - 1, leading_length - 1, -1) if roles[index] not in _INSTRUCTION_ROLES),
+        None,
+    )
+    if last_conversation_index is None or roles[last_conversation_index] != "assistant":
+        return len(roles)
+    return last_conversation_index + 1
+
+
+def _hoisted_indices(roles: Sequence[str | None]) -> tuple[int, ...]:
+    leading_length: Final = _leading_instruction_block_length(roles)
+    closing_start: Final = _closing_instruction_block_start(roles, leading_length)
+    return tuple(
+        index for index, role in enumerate(roles[:closing_start]) if index < leading_length or role == "developer"
+    )
+
+
+def _with_instruction_items_folded(
+    input: str | ResponseInputParam, instructions: str | None
+) -> tuple[str | None, str | ResponseInputParam]:
+    if isinstance(input, str):
+        return instructions, input
+    items: Final = tuple(input)
+    folded: Final = MappingProxyType(
+        {
+            index: text
+            for index in _hoisted_indices(tuple(map(_role, items)))
+            if (text := _text_only_content(items[index])) is not None
+        }
+    )
+    joined: Final = "\n\n".join(chunk for chunk in (instructions, *folded.values()) if chunk)
+    return (
+        instructions if not folded else joined or None,
+        [  # mutable-ok: the base class takes the input items as a list
+            _developer_item_as_system(item) for index, item in enumerate(items) if index not in folded
+        ],
     )
-    return [leading, *rest]
 
 
 class FireworksAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
@@ -113,15 +150,24 @@ class FireworksAIResponsesAPIConfig(OpenAIResponsesAPIConfig):
         litellm_params: GenericLiteLLMParams,
         headers: dict,  # mutable-ok: overrides the base class signature
     ) -> dict:  # mutable-ok: overrides the base class signature
-        instructions: Final = _instructions_adapter.validate_python(
-            response_api_optional_request_params.get("instructions")
+        instructions_param: Final[object] = response_api_optional_request_params.get("instructions")
+        validated_input: Final = self._validate_input_param(input)
+        instructions, folded_input = (
+            _with_instruction_items_folded(validated_input, instructions_param)
+            if isinstance(instructions_param, str | None)
+            else (instructions_param, _developer_items_as_system(validated_input))
         )
+        instruction_entries: Final = () if instructions is None else (("instructions", instructions),)
         folded_params: Final = {  # mutable-ok: the base class takes the optional params as a dict
-            key: value for key, value in response_api_optional_request_params.items() if key != "instructions"
+            key: value
+            for key, value in (
+                *((key, value) for key, value in response_api_optional_request_params.items() if key != "instructions"),
+                *instruction_entries,
+            )
         }
         return super().transform_responses_api_request(
             model=resolve_fireworks_resource_name(model),
-            input=_with_single_leading_system_item(self._validate_input_param(input), instructions),
+            input=folded_input,
             response_api_optional_request_params=folded_params,
             litellm_params=litellm_params,
             headers=headers,
diff --git a/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py b/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
index 9d947b25d69..d0697ca9b0e 100644
--- a/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
+++ b/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py
@@ -162,7 +162,7 @@ def test_responses_call_forwards_previous_response_id_and_store() -> None:
     assert body["input"][0]["call_id"] == "call_abc123"
 
 
-def test_responses_call_hoists_developer_items_into_one_leading_system_message() -> None:
+def test_responses_call_folds_developer_items_into_instructions() -> None:
     client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3"))
     with patch(HTTPX_CLIENT_FACTORY, return_value=client):
         litellm.responses(
@@ -175,14 +175,14 @@ def test_responses_call_hoists_developer_items_into_one_leading_system_message()
             api_key="fw-test-key",
         )
     _, _, body = _sent_request(client)
+    assert body["instructions"] == "Answer with exactly one word."
     assert tuple(body["input"]) == (
-        {"role": "system", "content": "Answer with exactly one word.", "type": "message"},
         {"role": "user", "content": "Hi there"},
         {"role": "user", "content": [{"type": "input_text", "text": "What is the capital of France?"}]},
     )
 
 
-def test_responses_call_folds_instructions_and_developer_item_into_one_leading_system_message() -> None:
+def test_responses_call_folds_instructions_and_developer_item_into_instructions_with_reasoning_replayed() -> None:
     client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b"))
     with patch(HTTPX_CLIENT_FACTORY, return_value=client):
         litellm.responses(
@@ -208,16 +208,10 @@ def test_responses_call_folds_instructions_and_developer_item_into_one_leading_s
             api_key="fw-test-key",
         )
     _, _, body = _sent_request(client)
-    assert "instructions" not in body
+    assert body["instructions"] == (
+        "You are a coding agent running in the Codex CLI.\n\n<permissions instructions>read-only</permissions instructions>"
+    )
     assert tuple(body["input"]) == (
-        {
-            "role": "system",
-            "content": (
-                "You are a coding agent running in the Codex CLI.\n\n"
-                "<permissions instructions>read-only</permissions instructions>"
-            ),
-            "type": "message",
-        },
         {"role": "user", "content": [{"type": "input_text", "text": "What is the capital of France?"}]},
         {"id": "rs_1", "type": "reasoning", "summary": [{"type": "summary_text", "text": "A trivial question."}]},
         {
@@ -231,41 +225,103 @@ def test_responses_call_folds_instructions_and_developer_item_into_one_leading_s
     )
 
 
-def test_responses_call_keeps_non_text_developer_parts_on_the_leading_system_message() -> None:
+def test_responses_call_folds_instructions_and_developer_item_with_previous_response_id() -> None:
     client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b"))
     with patch(HTTPX_CLIENT_FACTORY, return_value=client):
         litellm.responses(
             model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b",
-            instructions="Answer with one word.",
+            instructions="You are a terse assistant.",
             input=[  # mutable-ok: the Responses API takes input as a JSON list
-                {
-                    "role": "developer",
-                    "content": [
-                        {"type": "input_text", "text": "Match the style of this reference image."},
-                        {"type": "input_image", "image_url": "data:image/png;base64,iVBORw0KGgo=", "detail": "auto"},
-                    ],
-                },
+                {"role": "developer", "content": "Answer with exactly one word."},
+                {"role": "user", "content": "And of Spain?"},
+            ],
+            previous_response_id="resp_0e946f2d46bf4b49bf8b29ff78083583",
+            store=True,
+            api_key="fw-test-key",
+        )
+    _, _, body = _sent_request(client)
+    assert body["instructions"] == "You are a terse assistant.\n\nAnswer with exactly one word."
+    assert body["previous_response_id"] == "resp_0e946f2d46bf4b49bf8b29ff78083583"
+    assert tuple(body["input"]) == ({"role": "user", "content": "And of Spain?"},)
+
+
+def test_responses_call_keeps_a_closing_developer_item_after_an_assistant_turn_in_place() -> None:
+    client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b"))
+    assistant_turn: Final = {
+        "id": "msg_1",
+        "type": "message",
+        "role": "assistant",
+        "status": "completed",
+        "content": [{"type": "output_text", "text": "Paris.", "annotations": []}],
+    }
+    with patch(HTTPX_CLIENT_FACTORY, return_value=client):
+        litellm.responses(
+            model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b",
+            instructions="Be terse.",
+            input=[  # mutable-ok: the Responses API takes input as a JSON list
+                {"role": "developer", "content": "Answer with exactly one word."},
+                {"role": "user", "content": "What is the capital of France?"},
+                assistant_turn,
+                {"role": "developer", "content": "Now restate it in French."},
+            ],
+            api_key="fw-test-key",
+        )
+    _, _, body = _sent_request(client)
+    assert body["instructions"] == "Be terse.\n\nAnswer with exactly one word."
+    assert tuple(body["input"]) == (
+        {"role": "user", "content": "What is the capital of France?"},
+        assistant_turn,
+        {"role": "system", "content": "Now restate it in French.", "type": "message"},
+    )
+
+
+def test_responses_call_keeps_a_mid_conversation_system_item_in_place() -> None:
+    client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3"))
+    with patch(HTTPX_CLIENT_FACTORY, return_value=client):
+        litellm.responses(
+            model="fireworks_ai/accounts/fireworks/models/kimi-k3",
+            input=[  # mutable-ok: the Responses API takes input as a JSON list
+                {"role": "user", "content": "Hi there"},
+                {"role": "system", "content": "Switch to French."},
                 {"role": "user", "content": "What is the capital of France?"},
             ],
-            store=False,
             api_key="fw-test-key",
         )
     _, _, body = _sent_request(client)
     assert "instructions" not in body
     assert tuple(body["input"]) == (
-        {
-            "role": "system",
-            "content": [
-                {"type": "input_text", "text": "Answer with one word.\n\nMatch the style of this reference image."},
-                {"type": "input_image", "image_url": "data:image/png;base64,iVBORw0KGgo=", "detail": "auto"},
-            ],
-            "type": "message",
-        },
+        {"role": "user", "content": "Hi there"},
+        {"role": "system", "content": "Switch to French."},
         {"role": "user", "content": "What is the capital of France?"},
     )
 
 
-def test_responses_call_turns_string_input_with_instructions_into_system_then_user_messages() -> None:
+def test_responses_call_keeps_a_developer_item_with_non_text_parts_in_place_as_a_system_item() -> None:
+    client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b"))
+    developer_item: Final = {
+        "role": "developer",
+        "content": [
+            {"type": "input_text", "text": "Match the style of this reference image."},
+            {"type": "input_image", "image_url": "data:image/png;base64,iVBORw0KGgo=", "detail": "auto"},
+        ],
+    }
+    with patch(HTTPX_CLIENT_FACTORY, return_value=client):
+        litellm.responses(
+            model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b",
+            instructions="Answer with one word.",
+            input=[developer_item, {"role": "user", "content": "What is the capital of France?"}],  # mutable-ok: JSON list
+            store=False,
+            api_key="fw-test-key",
+        )
+    _, _, body = _sent_request(client)
+    assert body["instructions"] == "Answer with one word."
+    assert tuple(body["input"]) == (
+        {"role": "system", "content": developer_item["content"], "type": "message"},
+        {"role": "user", "content": "What is the capital of France?"},
+    )
+
+
+def test_responses_call_forwards_string_input_and_instructions_unchanged() -> None:
     client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3"))
     with patch(HTTPX_CLIENT_FACTORY, return_value=client):
         litellm.responses(
@@ -275,10 +331,24 @@ def test_responses_call_turns_string_input_with_instructions_into_system_then_us
             api_key="fw-test-key",
         )
     _, _, body = _sent_request(client)
-    assert "instructions" not in body
-    assert tuple(body["input"]) == (
+    assert body["instructions"] == "Answer with exactly one word."
+    assert body["input"] == "What is the capital of France?"
+
+
+def test_transform_request_forwards_non_string_instructions_and_input_untouched() -> None:
+    developer_item: Final = {"role": "developer", "content": "Answer with exactly one word."}
+    user_item: Final = {"role": "user", "content": "What is the capital of France?"}
+    request: Final = FireworksAIResponsesAPIConfig().transform_responses_api_request(
+        model="accounts/fireworks/models/kimi-k3",
+        input=cast(ResponseInputParam, [developer_item, user_item]),  # mutable-ok: JSON list
+        response_api_optional_request_params={"instructions": ["not", "a", "string"]},  # mutable-ok: base takes a dict
+        litellm_params=GenericLiteLLMParams(),
+        headers={},  # mutable-ok: base takes a dict
+    )
+    assert request["instructions"] == ["not", "a", "string"]
+    assert tuple(request["input"]) == (
         {"role": "system", "content": "Answer with exactly one word.", "type": "message"},
-        {"role": "user", "content": "What is the capital of France?"},
+        user_item,
     )
 
 
@@ -305,8 +375,8 @@ def test_responses_call_maps_pydantic_developer_items_and_replays_pydantic_outpu
             model="fireworks_ai/accounts/fireworks/models/kimi-k3", input=pydantic_input, api_key="fw-test-key"
         )
     _, _, body = _sent_request(client)
+    assert body["instructions"] == "Answer with exactly one word."
     assert tuple(body["input"]) == (
-        {"role": "system", "content": "Answer with exactly one word.", "type": "message"},
         {"id": "rs_1", "summary": [], "type": "reasoning"},
         {
             "id": "fc_1",

From 8b89c909a9448a66a0f60cc3c9de7e236271b838 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:16:08 -0700
Subject: [PATCH 100/223] fix(proxy): keep a ProxyException's status and label
 408s in the OpenAI error payload

error_status_code only read status_code, so a ProxyException raised
before routing (which stores its status as the string code) answered
500 with its 4xx type through the rerank, images, realtime, files, and
pass-through tails. It now falls back to a decimal code. A 408 maps to
timeout_error instead of invalid_request_error.

Tail regressions for rerank, images, realtime calls, and the chat
pass-through fail at the merge base with ('None', 'None'); the new
files-test helpers are fully typed.
---
 .../common_utils/openai_error_payload.py      |  9 ++-
 .../common_utils/test_openai_error_payload.py | 28 ++++++++++
 .../proxy/image_endpoints/test_endpoints.py   | 48 +++++++++++++++-
 .../test_files_endpoint.py                    | 24 +++++---
 .../test_pass_through_endpoints.py            | 38 ++++++++++++-
 .../test_realtime_webrtc_endpoints.py         | 42 ++++++++++++++
 .../proxy/rerank_endpoints/test_endpoints.py  | 56 ++++++++++++++++++-
 7 files changed, 230 insertions(+), 15 deletions(-)

diff --git a/litellm/proxy/common_utils/openai_error_payload.py b/litellm/proxy/common_utils/openai_error_payload.py
index 180ec152094..2d589871fea 100644
--- a/litellm/proxy/common_utils/openai_error_payload.py
+++ b/litellm/proxy/common_utils/openai_error_payload.py
@@ -12,6 +12,7 @@ _OPENAI_ERROR_TYPE_BY_STATUS: Final[Mapping[int, str]] = MappingProxyType(
     {
         status.HTTP_401_UNAUTHORIZED: "authentication_error",
         status.HTTP_403_FORBIDDEN: "permission_error",
+        status.HTTP_408_REQUEST_TIMEOUT: "timeout_error",
         status.HTTP_429_TOO_MANY_REQUESTS: "rate_limit_error",
     }
 )
@@ -22,9 +23,13 @@ def attribute_of(value: object, name: str, default: object = None) -> object:
 
 
 def error_status_code(exc: object, default: int) -> int:
-    """The HTTP status an exception carries, or ``default`` when it carries none."""
+    """The HTTP status an exception carries as ``status_code`` or, the way ``ProxyException``
+    stores it, as a stringified ``code``; ``default`` when it carries neither."""
     carried: Final = attribute_of(exc, "status_code")
-    return carried if isinstance(carried, int) and not isinstance(carried, bool) else default
+    if isinstance(carried, int) and not isinstance(carried, bool):
+        return carried
+    stringified: Final = attribute_of(exc, "code")
+    return int(stringified) if isinstance(stringified, str) and stringified.isdecimal() else default
 
 
 def openai_error_type(exc: object, status_code: int) -> str:
diff --git a/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
index 3b39ea706fe..3145be2d522 100644
--- a/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
+++ b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
@@ -18,6 +18,7 @@ from litellm.proxy.common_utils.openai_error_payload import (
         (401, "authentication_error"),
         (403, "permission_error"),
         (404, "invalid_request_error"),
+        (408, "timeout_error"),
         (422, "invalid_request_error"),
         (429, "rate_limit_error"),
         (499, "invalid_request_error"),
@@ -109,6 +110,33 @@ def test_a_non_int_carried_status_falls_back_to_the_default(carried_status: obje
     assert error_status_code(_Carrier("boom"), 500) == 500
 
 
+def test_a_proxy_exception_keeps_the_status_it_was_raised_with():
+    """ProxyException stores its status as the string ``code`` rather than ``status_code``,
+    so a route tail that rewraps one used to answer a 4xx rejection as a 500."""
+    rejection = ProxyException(message="session_id is required", type="bad_request_error", param="session_id", code=400)
+
+    assert error_status_code(rejection, 500) == 400
+
+
+@pytest.mark.parametrize("carried_code", [None, "None", "", "rate_limited", "4xx", 404])
+def test_a_code_that_is_not_a_decimal_string_falls_back_to_the_default(carried_code: object):
+    """Only ProxyException's stringified status is a status; ``code`` on anything else
+    (OpenAI's ``invalid_api_key``, a stray int) says nothing about the HTTP answer."""
+
+    class _Carrier(Exception):
+        code = carried_code
+
+    assert error_status_code(_Carrier("boom"), 500) == 500
+
+
+def test_a_status_code_wins_over_a_stringified_code():
+    class _Carrier(Exception):
+        status_code = 429
+        code = "400"
+
+    assert error_status_code(_Carrier("boom"), 500) == 429
+
+
 def test_a_status_carried_by_an_exception_drives_the_type_it_reports():
     """The two helpers compose at every call site: the status the exception carries is what
     names its type, not the default the route would have used."""
diff --git a/tests/test_litellm/proxy/image_endpoints/test_endpoints.py b/tests/test_litellm/proxy/image_endpoints/test_endpoints.py
index 203391aadad..d8b3eef98bd 100644
--- a/tests/test_litellm/proxy/image_endpoints/test_endpoints.py
+++ b/tests/test_litellm/proxy/image_endpoints/test_endpoints.py
@@ -5,12 +5,12 @@ from typing import Any, Dict
 
 import orjson
 import pytest
-from fastapi import FastAPI
+from fastapi import FastAPI, HTTPException
 from fastapi.testclient import TestClient
 from starlette.requests import Request
 from starlette.responses import Response
 
-from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy._types import ProxyException, UserAPIKeyAuth
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
 from litellm.proxy.image_endpoints import endpoints
 
@@ -167,3 +167,47 @@ def test_image_edit_multipart_n_that_is_not_a_number_is_left_alone(monkeypatch):
 
     assert response.status_code == 200
     assert captured["n"] == "two"
+
+
+@pytest.mark.asyncio
+async def test_a_model_the_router_cannot_serve_answers_an_openai_typed_error(monkeypatch: pytest.MonkeyPatch):
+    """A bare HTTPException carries no type or param, so the tail used to ship the
+    literal string "None" in both fields."""
+
+    async def fake_add_litellm_data_to_request(**kwargs: object) -> object:
+        return kwargs["data"]
+
+    async def fake_pre_call_hook(*, user_api_key_dict: UserAPIKeyAuth, data: dict[str, object], call_type: str) -> dict[str, object]:
+        return data
+
+    async def fake_post_call_failure_hook(**_: object) -> None:
+        return None
+
+    async def failing_route_request(**_: object) -> None:
+        raise HTTPException(
+            status_code=404, detail={"error": "image_generation: Invalid model name passed in model=dall-e-3"}
+        )
+
+    monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", fake_add_litellm_data_to_request)
+    monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {})
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None)
+    monkeypatch.setattr("litellm.proxy.proxy_server.proxy_config", {})
+    monkeypatch.setattr(
+        "litellm.proxy.proxy_server.proxy_logging_obj",
+        SimpleNamespace(pre_call_hook=fake_pre_call_hook, post_call_failure_hook=fake_post_call_failure_hook),
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.user_model", None)
+    monkeypatch.setattr("litellm.proxy.proxy_server.version", "test-version")
+    monkeypatch.setattr("litellm.proxy.image_endpoints.endpoints.route_request", failing_route_request)
+
+    body = orjson.dumps({"model": "dall-e-3", "prompt": "a lighthouse at dusk"})
+
+    async def receive() -> dict[str, object]:
+        return {"type": "http.request", "body": body, "more_body": False}
+
+    request = Request({"type": "http", "method": "POST", "path": "/v1/images/generations", "headers": []}, receive)
+
+    with pytest.raises(ProxyException) as raised:
+        await endpoints.image_generation(request=request, fastapi_response=Response(), user_api_key_dict=UserAPIKeyAuth())
+
+    assert (raised.value.type, raised.value.param, raised.value.code) == ("invalid_request_error", None, "404")
diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
index 2257ae1ab29..132b53792b0 100644
--- a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
+++ b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
@@ -4668,7 +4668,9 @@ def test_create_file_path_traversal_filename_rejected_before_forwarding(monkeypa
     assert forwarded_calls == []
 
 
-def _setup_managed_file_route_answering_404(mocker: MockerFixture, monkeypatch, llm_router: Router):
+def _setup_managed_file_route_answering_404(
+    mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router
+) -> None:
     """Wire the single-file routes to a managed file store that knows no file, the way the
     managed files hook answers once a file has been deleted or was never the caller's."""
     import litellm.proxy.proxy_server as ps
@@ -4676,7 +4678,7 @@ def _setup_managed_file_route_answering_404(mocker: MockerFixture, monkeypatch,
     from litellm.llms.base_llm.files.transformation import BaseFileEndpoints
     from litellm.proxy._types import LitellmUserRoles
 
-    async def _file_not_found(file_id: str, **kwargs):
+    async def _file_not_found(file_id: str, **kwargs: object) -> None:
         raise HTTPException(status_code=404, detail=f"File not found: {file_id}")
 
     proxy_logging_obj = setup_proxy_logging_object(monkeypatch, llm_router)
@@ -4694,7 +4696,7 @@ def _setup_managed_file_route_answering_404(mocker: MockerFixture, monkeypatch,
     )
 
 
-def _call_managed_file_route(method: str, path: str):
+def _call_managed_file_route(method: str, path: str) -> httpx.Response:
     try:
         return client.request(method, path, headers={"Authorization": "Bearer test-key"})
     finally:
@@ -4703,7 +4705,7 @@ def _call_managed_file_route(method: str, path: str):
         app.dependency_overrides.pop(ps.user_api_key_auth, None)
 
 
-def _missing_managed_file_error(file_id: str) -> dict:
+def _missing_managed_file_error(file_id: str) -> dict[str, dict[str, str | None]]:
     return {
         "error": {
             "message": f"File not found: {file_id}",
@@ -4714,7 +4716,9 @@ def _missing_managed_file_error(file_id: str) -> dict:
     }
 
 
-def test_create_file_reports_a_half_specified_expires_after_as_a_400(monkeypatch, llm_router: Router):
+def test_create_file_reports_a_half_specified_expires_after_as_a_400(
+    monkeypatch: pytest.MonkeyPatch, llm_router: Router
+):
     """A 400 raised inside the route answers with the type a 400 stands for and a JSON null
     param, not the literal string "None" in both fields, so a client can classify it."""
     setup_proxy_logging_object(monkeypatch, llm_router)
@@ -4735,7 +4739,9 @@ def test_create_file_reports_a_half_specified_expires_after_as_a_400(monkeypatch
     assert error["code"] == "400"
 
 
-def test_get_file_reports_a_missing_managed_file_as_a_404(mocker: MockerFixture, monkeypatch, llm_router: Router):
+def test_get_file_reports_a_missing_managed_file_as_a_404(
+    mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router
+):
     _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router)
     file_id = _unified_managed_file_id()
 
@@ -4745,7 +4751,9 @@ def test_get_file_reports_a_missing_managed_file_as_a_404(mocker: MockerFixture,
     assert response.json() == _missing_managed_file_error(file_id)
 
 
-def test_delete_file_reports_a_missing_managed_file_as_a_404(mocker: MockerFixture, monkeypatch, llm_router: Router):
+def test_delete_file_reports_a_missing_managed_file_as_a_404(
+    mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router
+):
     _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router)
     file_id = _unified_managed_file_id()
 
@@ -4756,7 +4764,7 @@ def test_delete_file_reports_a_missing_managed_file_as_a_404(mocker: MockerFixtu
 
 
 def test_get_file_content_reports_a_missing_managed_file_as_a_404(
-    mocker: MockerFixture, monkeypatch, llm_router: Router
+    mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router
 ):
     _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router)
     file_id = _unified_managed_file_id()
diff --git a/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py b/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py
index fb4ed3db4d2..d57bed430c1 100644
--- a/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py
+++ b/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py
@@ -11,7 +11,7 @@ from unittest.mock import AsyncMock, MagicMock, patch
 
 import httpx
 import pytest
-from fastapi import Request, UploadFile
+from fastapi import Request, Response, UploadFile
 from starlette.datastructures import FormData, Headers, QueryParams
 from starlette.datastructures import UploadFile as StarletteUploadFile
 
@@ -22,6 +22,7 @@ from litellm.proxy.pass_through_endpoints.pass_through_endpoints import (
     InitPassThroughEndpointHelpers,
     LITELLM_PASS_THROUGH_CUSTOM_BODY_STATE_KEY,
     _registered_pass_through_routes,
+    chat_completion_pass_through_endpoint,
     create_pass_through_route,
     initialize_pass_through_endpoints,
     pass_through_request,
@@ -5837,3 +5838,38 @@ def test_passthrough_client_cannot_forge_session_id_omission(client_metadata_key
         )
         == "per-call-random-trace-id"
     )
+
+
+@pytest.mark.asyncio
+async def test_chat_completion_pass_through_endpoint_answers_an_openai_typed_error_for_an_unknown_model(
+    monkeypatch: pytest.MonkeyPatch,
+):
+    """A bare HTTPException carries no type or param, so the tail used to ship the
+    literal string "None" in both fields."""
+    proxy_logging = MagicMock()
+    proxy_logging.pre_call_hook = AsyncMock(side_effect=lambda **kwargs: kwargs["data"])
+    proxy_logging.post_call_failure_hook = AsyncMock()
+
+    async def fake_add_litellm_data_to_request(**kwargs: object) -> object:
+        return kwargs["data"]
+
+    monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", proxy_logging)
+    monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", fake_add_litellm_data_to_request)
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None)
+    monkeypatch.setattr("litellm.proxy.proxy_server.user_model", None)
+    monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {})
+
+    request = MagicMock(spec=Request)
+    request.body = AsyncMock(
+        return_value=json.dumps({"model": "unknown-model", "messages": [{"role": "user", "content": "hi"}]}).encode()
+    )
+
+    with pytest.raises(ProxyException) as raised:
+        await chat_completion_pass_through_endpoint(
+            fastapi_response=Response(),
+            request=request,
+            adapter_id="anthropic",
+            user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"),
+        )
+
+    assert (raised.value.type, raised.value.param, raised.value.code) == ("invalid_request_error", None, "400")
diff --git a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
index 66eeb3cef34..8cc5994dc81 100644
--- a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
+++ b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
@@ -6,10 +6,12 @@ Tests for LiteLLM proxy realtime WebRTC HTTP endpoints:
 
 import json
 import time
+from collections.abc import Awaitable, Callable
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import httpx
 import pytest
+from fastapi import FastAPI, HTTPException
 from fastapi.testclient import TestClient
 
 
@@ -1199,3 +1201,43 @@ async def test_transcription_sessions_wraps_route_exception(
         assert "Model not allowed" in response.text
     finally:
         proxy_app.dependency_overrides.pop(user_api_key_auth, None)
+
+
+def test_realtime_calls_upstream_rejection_answers_an_openai_typed_error(
+    proxy_app: FastAPI,
+    mock_add_litellm_data: Callable[..., Awaitable[object]],
+    mock_pre_call_hook: Callable[..., Awaitable[object]],
+    monkeypatch: pytest.MonkeyPatch,
+):
+    """A bare HTTPException carries no type or param, so the tail used to ship the
+    literal string "None" in both fields of the error the browser client reads."""
+    token_payload = _encode_realtime_token_payload(
+        ephemeral_key="fake_upstream_epk",
+        model_id="gpt-4o-realtime-preview",
+        user_id=None,
+        team_id=None,
+        expires_at=int(time.time()) + 3600,
+    )
+    encrypted_token = encrypt_value_helper(token_payload)
+
+    async def failing_route_request(*args: object, **kwargs: object) -> None:
+        raise HTTPException(
+            status_code=404,
+            detail={"error": "realtime: Invalid model name passed in model=gpt-4o-realtime-preview"},
+        )
+
+    proxy_logging = MagicMock()
+    proxy_logging.pre_call_hook = AsyncMock(side_effect=mock_pre_call_hook)
+    proxy_logging.post_call_failure_hook = AsyncMock()
+    monkeypatch.setattr("litellm.proxy.proxy_server.route_request", failing_route_request)
+    monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", mock_add_litellm_data)
+    monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", proxy_logging)
+
+    response = TestClient(proxy_app).post(
+        "/v1/realtime/calls",
+        headers={"Authorization": f"Bearer {encrypted_token}"},
+        content=b"v=0\r\no=- 0 0 IN IP4 0.0.0.0\r\ns=-\r\n",
+    )
+
+    assert response.status_code == 404
+    assert (response.json()["error"]["type"], response.json()["error"]["param"]) == ("invalid_request_error", None)
diff --git a/tests/test_litellm/proxy/rerank_endpoints/test_endpoints.py b/tests/test_litellm/proxy/rerank_endpoints/test_endpoints.py
index 9f11ff6f20d..ea858e04e0f 100644
--- a/tests/test_litellm/proxy/rerank_endpoints/test_endpoints.py
+++ b/tests/test_litellm/proxy/rerank_endpoints/test_endpoints.py
@@ -6,11 +6,11 @@ import json
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
-from fastapi import Request, Response
+from fastapi import HTTPException, Request, Response
 
 import litellm.proxy.common_request_processing as common_request_processing_mod
 import litellm.proxy.proxy_server as proxy_server_mod
-from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy._types import ProxyException, UserAPIKeyAuth
 from litellm.proxy.rerank_endpoints.endpoints import rerank
 from litellm.types.utils import RerankResponse
 
@@ -118,3 +118,55 @@ async def test_rerank_omits_detailed_timing_headers_when_disabled():
         fastapi_response = await _call_rerank()
 
     assert "x-litellm-timing-llm-api-ms" not in fastapi_response.headers
+
+
+async def _rerank_failure(
+    failure: Exception, *, raised_before_routing: bool, monkeypatch: pytest.MonkeyPatch
+) -> ProxyException:
+    proxy_logging_obj = MagicMock()
+    proxy_logging_obj.pre_call_hook = AsyncMock(
+        side_effect=failure if raised_before_routing else lambda **kwargs: kwargs["data"]
+    )
+    proxy_logging_obj.post_call_failure_hook = AsyncMock()
+
+    async def fake_add_litellm_data_to_request(**kwargs: object) -> object:
+        return kwargs["data"]
+
+    async def failing_route_request(**kwargs: object) -> None:
+        raise failure
+
+    monkeypatch.setattr(proxy_server_mod, "add_litellm_data_to_request", fake_add_litellm_data_to_request)
+    monkeypatch.setattr(proxy_server_mod, "route_request", failing_route_request)
+    monkeypatch.setattr(proxy_server_mod, "proxy_logging_obj", proxy_logging_obj)
+    monkeypatch.setattr(proxy_server_mod, "llm_router", MagicMock())
+    monkeypatch.setattr(proxy_server_mod, "version", "1.2.3")
+
+    with pytest.raises(ProxyException) as raised:
+        await rerank(
+            request=_build_request(),
+            fastapi_response=Response(),
+            user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"),
+        )
+    return raised.value
+
+
+@pytest.mark.asyncio
+async def test_a_model_the_router_cannot_serve_answers_an_openai_typed_error(monkeypatch: pytest.MonkeyPatch):
+    """A bare HTTPException carries no type or param, so the tail used to ship the
+    literal string "None" in both fields."""
+    failure = HTTPException(status_code=404, detail={"error": "rerank: Invalid model name passed in model=rerank-model"})
+
+    error = await _rerank_failure(failure, raised_before_routing=False, monkeypatch=monkeypatch)
+
+    assert (error.type, error.param, error.code) == ("invalid_request_error", None, "404")
+
+
+@pytest.mark.asyncio
+async def test_a_rejection_raised_before_routing_keeps_its_own_status(monkeypatch: pytest.MonkeyPatch):
+    """A ProxyException stores its status as the string ``code``, which the tail used to
+    miss and rewrap as a 500 while keeping the 4xx type and param."""
+    rejection = ProxyException(message="session_id is required", type="bad_request_error", param="session_id", code=400)
+
+    error = await _rerank_failure(rejection, raised_before_routing=True, monkeypatch=monkeypatch)
+
+    assert (error.type, error.param, error.code) == ("bad_request_error", "session_id", "400")

From 946d6f665ed84c59c4545d4519d9e029258046a2 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:18:26 -0700
Subject: [PATCH 101/223] test(cost_map): assert runtime reloads refresh
 loaded_at

---
 .../test_get_model_cost_map.py                | 22 +++++++++++++++++++
 1 file changed, 22 insertions(+)

diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index 18794ea7eec..f72d175d579 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -335,6 +335,7 @@ def test_get_model_cost_map_stamps_loaded_at(monkeypatch):
 
 import functools
 import random
+from datetime import datetime, timezone
 
 import httpx
 
@@ -554,6 +555,27 @@ async def test_refetch_local_override_reports_the_bundled_blob_id_without_an_eta
     assert get_model_cost_map_provenance() == {"source_revision": _bundled_blob_id(), "etag": None}
 
 
+@pytest.mark.asyncio
+async def test_refetch_stamps_loaded_at_on_remote_and_local_reloads(monkeypatch):
+    from litellm.litellm_core_utils import get_model_cost_map as module
+
+    client, _ = _mock_client([httpx.Response(200, content=_real_map_bytes())])
+    monkeypatch.setattr(module._cost_map_source_info, "loaded_at", None)
+    before_remote = datetime.now(timezone.utc)
+    await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client)
+    remote_loaded_at = module.get_model_cost_map_loaded_at()
+    assert remote_loaded_at is not None
+    assert before_remote <= remote_loaded_at <= datetime.now(timezone.utc)
+
+    monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
+    monkeypatch.setattr(module._cost_map_source_info, "loaded_at", None)
+    before_local = datetime.now(timezone.utc)
+    await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0))
+    local_loaded_at = module.get_model_cost_map_loaded_at()
+    assert local_loaded_at is not None
+    assert before_local <= local_loaded_at <= datetime.now(timezone.utc)
+
+
 # ---------------------------------------------------------------------------
 # get_model_cost_map: the boot-time load retries transient failures like a reload does
 # ---------------------------------------------------------------------------

From 2823d09e1bcfc99cee126583f3552e5d5b32dac5 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:30:05 -0700
Subject: [PATCH 102/223] refactor(policy_engine): type the request-state
 parameter of the retrieval hook

---
 litellm/proxy/policy_engine/response_retrieval.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/policy_engine/response_retrieval.py b/litellm/proxy/policy_engine/response_retrieval.py
index 54b9acf6150..0aa9579ca71 100644
--- a/litellm/proxy/policy_engine/response_retrieval.py
+++ b/litellm/proxy/policy_engine/response_retrieval.py
@@ -71,7 +71,7 @@ def _post_call_pipelines_for_context(context: PolicyMatchContext) -> tuple[Polic
 
 
 def attach_post_call_pipelines_to_retrieval(
-    data: dict,  # mutable-ok: the proxy's request-state dict, written in place like every other policy engine hook
+    data: dict[str, object],  # mutable-ok: request-state dict the policy engine hooks all write in place
     user_api_key_dict: "UserAPIKeyAuth",
     llm_router: "Router | None",
 ) -> None:

From 91f1d98fb08428339802e0f16206f1836709d9c7 Mon Sep 17 00:00:00 2001
From: moe-berri <moe@berri.ai>
Date: Tue, 8 Sep 2026 12:30:42 -0700
Subject: [PATCH 103/223] fix(auto_router): clear the non-reasoning tier when
 the classifier changes

Three review findings, all in the dashboard.

Switching off the LLM classifier left the toggle checked but disabled, so the
flag could not be cleared and every save was refused by the backend. The
classifier-change handler now drops the flag and the tier's pool the same way it
already drops the other classifier-specific keys.

builtInTierInfo resolved rows against the four-tier order, so the new row
rendered with no description, no examples and no rename field. It now resolves
against every built-in tier, and the duplicate BUILT_IN_TIER_ORDER constant is
gone in favour of the one in tier_rows.

The preset schema widening is reverted. It was speculative, no published catalog
carries the tier, and prefill would have discarded it while the route-wide null
exclusion changed the endpoint's passthrough contract for every other field.

Also splits NonReasoningTierToggle and TierConfigIntro into their own files to
get ComplexityRouterConfig.tsx back under the max-lines limit, and applies ruff
format to the two backend files CI flagged.
---
 .../public_endpoints/public_endpoints.py      |  3 -
 .../complexity_router/complexity_router.py    |  4 +-
 .../complexity_router/config.py               |  1 +
 .../public_endpoints/public_endpoints.py      |  9 +--
 .../add_model/ClassificationMethodConfig.tsx  | 20 +++++
 .../add_model/ComplexityRouterConfig.tsx      | 73 ++-----------------
 .../add_model/NonReasoningTierToggle.tsx      | 49 +++++++++++++
 .../components/add_model/TierConfigIntro.tsx  | 30 ++++++++
 .../add_model/nonReasoningTierFields.test.ts  | 52 +++++++++++++
 .../components/add_model/tier_rows.test.ts    |  9 ++-
 ui/litellm-dashboard/src/lib/http/schema.d.ts | 10 +--
 ui/litellm-dashboard/tsconfig.tsbuildinfo     |  2 +-
 12 files changed, 171 insertions(+), 91 deletions(-)
 create mode 100644 ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
 create mode 100644 ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx
 create mode 100644 ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts

diff --git a/litellm/proxy/public_endpoints/public_endpoints.py b/litellm/proxy/public_endpoints/public_endpoints.py
index a7a24e10bdd..94a59828451 100644
--- a/litellm/proxy/public_endpoints/public_endpoints.py
+++ b/litellm/proxy/public_endpoints/public_endpoints.py
@@ -534,9 +534,6 @@ async def get_autorouter_presets(
     "/public/autorouter_presets",
     tags=["public", "auto router"],  # mutable-ok: FastAPI route tags take a list
     response_model=dict[str, AutoRouterPresetRecord],
-    # An optional tier a preset does not set must not reach the dashboard as a null pool, which the
-    # template picker would render as an empty tier row the operator never asked for.
-    response_model_exclude_none=True,
 )
 async def get_public_autorouter_presets() -> Mapping[str, AutoRouterPresetRecord]:
     """
diff --git a/litellm/router_strategy/complexity_router/complexity_router.py b/litellm/router_strategy/complexity_router/complexity_router.py
index fd0d53e0902..c40405ecf0f 100644
--- a/litellm/router_strategy/complexity_router/complexity_router.py
+++ b/litellm/router_strategy/complexity_router/complexity_router.py
@@ -2334,9 +2334,7 @@ class ComplexityRouter(CustomLogger):
                 distance = 0
             else:
                 model_tiers = self._model_tiers.get(model, (classified_tier,))
-                distance = min(
-                    abs(severity_order.index(model_tier) - classified_idx) for model_tier in model_tiers
-                )
+                distance = min(abs(severity_order.index(model_tier) - classified_idx) for model_tier in model_tiers)
             score = quality_weight * quality_sample + cost_weight * cost_score - penalty_weight * distance
             candidate_scores.append(
                 {
diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py
index bdfa0c9c389..d917c1b8041 100644
--- a/litellm/router_strategy/complexity_router/config.py
+++ b/litellm/router_strategy/complexity_router/config.py
@@ -78,6 +78,7 @@ def tier_severity_order(non_reasoning_enabled: bool) -> tuple[ComplexityTier, ..
     """The built-in ladder for one router, tier 0 included only when it opted in."""
     return NON_REASONING_TIER_SEVERITY_ORDER if non_reasoning_enabled else TIER_SEVERITY_ORDER
 
+
 DEFAULT_TIER_DISTANCE_PENALTY: Final[float] = 0.5
 
 DEFAULT_CLASSIFIER_CONTEXT_WINDOW_SIZE: Final[int] = 3
diff --git a/litellm/types/proxy/public_endpoints/public_endpoints.py b/litellm/types/proxy/public_endpoints/public_endpoints.py
index fb5a37c45fc..fa73926305b 100644
--- a/litellm/types/proxy/public_endpoints/public_endpoints.py
+++ b/litellm/types/proxy/public_endpoints/public_endpoints.py
@@ -74,14 +74,10 @@ class SupportedEndpointsResponse(BaseModel):
 
 
 class AutoRouterPresetTiers(BaseModel):
-    """The built-in tiers the dashboard's preset prefill can apply.
+    """Exactly the four built-in tiers the dashboard's preset prefill can apply.
 
     extra="forbid" on purpose: a tier name this dashboard cannot apply would grey out or crash the
-    picker, so such a catalog is rejected wholesale and the bundled one serves instead. NON_REASONING
-    is optional rather than required so this proxy accepts both a catalog that ships the opt-in fifth
-    tier and the four-tier catalogs that predate it. It stays None when unset rather than defaulting
-    to an empty pool, so a four-tier preset serves the tier set it was published with instead of
-    growing a key the dashboard would render as an empty fifth tier row.
+    picker, so such a catalog is rejected wholesale and the bundled one serves instead.
     """
 
     model_config = ConfigDict(extra="forbid")
@@ -90,7 +86,6 @@ class AutoRouterPresetTiers(BaseModel):
     MEDIUM: Sequence[str]
     COMPLEX: Sequence[str]
     REASONING: Sequence[str]
-    NON_REASONING: Sequence[str] | None = None
 
 
 class AutoRouterPresetConfig(BaseModel):
diff --git a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
index 15cfff01766..468dcf5b411 100644
--- a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
@@ -236,6 +236,22 @@ const ClassifierTypeRadios: React.FC<{
   );
 };
 
+/**
+ * The NON_REASONING keys a classifier switch should carry forward, or clear. Leaving the flag set
+ * under a classifier that cannot emit the tier produces a config the backend refuses on save, and
+ * the switch is disabled there, so the operator would have no way to undo it.
+ */
+export const nonReasoningTierFields = (
+  classifierType: ClassifierType,
+  value: ComplexityRouterConfigValue,
+): Pick<ComplexityRouterConfigValue, "enable_non_reasoning_tier" | "tiers"> => {
+  if (classifierType === "llm") {
+    return { enable_non_reasoning_tier: value.enable_non_reasoning_tier, tiers: value.tiers };
+  }
+  const { NON_REASONING: _cleared, ...keptTiers } = value.tiers;
+  return { enable_non_reasoning_tier: undefined, tiers: keptTiers };
+};
+
 const ClassificationMethodConfig: React.FC<ClassificationMethodConfigProps> = ({
   value,
   onChange,
@@ -287,6 +303,10 @@ const ClassificationMethodConfig: React.FC<ClassificationMethodConfigProps> = ({
           : undefined,
       hybrid_boundary_margin:
         classifierType === "hybrid" ? value.hybrid_boundary_margin ?? DEFAULT_HYBRID_BOUNDARY_MARGIN : undefined,
+      // Only the LLM classifier can produce NON_REASONING, and the backend rejects the flag
+      // beside any other type. Clearing it here (with the tier's own pool) is what keeps a
+      // switch away from LLM from stranding a config that can never be saved.
+      ...nonReasoningTierFields(classifierType, value),
     };
     onChange(nextValue);
   };
diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
index 01e65914c67..540b68cf9f7 100644
--- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
@@ -5,6 +5,8 @@ import { ChevronRight, Info, Plus, Trash2, X } from "lucide-react";
 import { Switch } from "@/components/ui/switch";
 
 import { AffinityControls } from "./AffinityControls";
+import NonReasoningTierToggle from "./NonReasoningTierToggle";
+import TierConfigIntro from "./TierConfigIntro";
 import TierRowSelect from "./TierRowSelect";
 import { ModalityRoutingControls } from "./ModalityRoutingControls";
 import { Card, CardContent } from "@/components/ui/card";
@@ -20,6 +22,7 @@ import {
   MAX_TIER_COUNT,
   MAX_TIER_DEFINITION_CHARS,
   MAX_TIER_NAME_CHARS,
+  ALL_BUILT_IN_TIERS,
   MIN_TIER_COUNT,
   TIER_ORDER,
   activeTierName,
@@ -200,34 +203,10 @@ const defaultModelPlaceholderFor = (derivedDefaultModel: string | undefined, isC
 };
 
 const builtInTierInfo = (rowId: string): { label: string; description: string; examples: string } | undefined => {
-  const builtIn = TIER_ORDER.find((tier) => tier === rowId);
+  const builtIn = ALL_BUILT_IN_TIERS.find((tier) => tier === rowId);
   return builtIn ? TIER_DESCRIPTIONS[builtIn] : undefined;
 };
 
-const tierConfigIntroText = (value: ComplexityRouterConfigValue): string => {
-  if (value.classifier_type === "heuristic_v2") {
-    return "The complexity router classifies each request with a calibrated local four-tier model (no API calls). Configure which model(s) handle each tier.";
-  }
-  if (heuristicScoringRole(value) === "never") {
-    return "The complexity router classifies each request with your classifier model and routes it to that tier. Configure which model(s) handle each tier.";
-  }
-  return "The complexity router automatically classifies requests by complexity using rule-based scoring (no API calls, <1ms latency). Configure which model(s) handle each tier.";
-};
-
-const TierConfigIntro: React.FC<{ value: ComplexityRouterConfigValue }> = ({ value }) => (
-  <>
-    <span className="block mb-6 text-muted-foreground">{tierConfigIntroText(value)}</span>
-
-    <span className="block mb-4 text-xs text-muted-foreground">
-      {restrictedBy(value, "displayNames")?.reason ??
-        "Rename a tier to use your own vocabulary in the dashboard and your spend logs. Renaming doesn't change how requests are classified, and callers never see these names."}
-      {!value.custom_tier_set &&
-        usesLlmClassifier(value.classifier_type) &&
-        " Your classifier model reads these names, so clearer ones can sharpen its choices."}
-    </span>
-  </>
-);
-
 const TierSetToolbar: React.FC<{
   editing: boolean;
   isCustomSet: boolean;
@@ -534,13 +513,6 @@ export const TIER_DESCRIPTIONS: Record<
 /** Every built-in tier name, including the opt-in one, for label and membership checks. */
 export const TIER_KEYS = Object.keys(TIER_DESCRIPTIONS) as Array<keyof ComplexityTiers>;
 
-/**
- * The four-tier ladder in ascending severity, which is what a router sends unless it opted into
- * NON_REASONING. Mirrors TIER_SEVERITY_ORDER in the backend config; use tierOrderFor to get the
- * ladder one router actually renders.
- */
-export const BUILT_IN_TIER_ORDER: Array<keyof ComplexityTiers> = ["SIMPLE", "MEDIUM", "COMPLEX", "REASONING"];
-
 export const effectiveTierLabel = (tier: keyof ComplexityTiers, tierLabels: ComplexityTierLabels | undefined): string =>
   tierLabels?.[tier]?.trim() || TIER_DESCRIPTIONS[tier].label;
 
@@ -555,42 +527,7 @@ export const DEFAULT_HYBRID_BOUNDARY_MARGIN = 0.03;
  * NON_REASONING, which the backend refuses alongside heuristic_first because the local scorer
  * cannot produce it.
  */
-export const HEURISTIC_FIRST_MAX_TIER_KEYS = BUILT_IN_TIER_ORDER.slice(0, -1);
-
-/**
- * The opt-in fifth tier. Only offered on the LLM classification method, matching the backend: the
- * heuristic scorers cannot produce the tier, so enabling it there would buy a rubric bullet and a
- * model pool that no request ever reaches.
- */
-const NonReasoningTierToggle: React.FC<{
-  value: ComplexityRouterConfigValue;
-  onChange: (value: ComplexityRouterConfigValue) => void;
-  available: boolean;
-}> = ({ value, onChange, available }) => (
-  <>
-    <div className="flex items-center gap-2 mt-4 mb-2">
-      <Switch
-        checked={value.enable_non_reasoning_tier === true}
-        disabled={!available}
-        onCheckedChange={(enabled) => {
-          const { NON_REASONING: _dropped, ...keptTiers } = value.tiers;
-          onChange({
-            ...value,
-            enable_non_reasoning_tier: enabled ? true : undefined,
-            tiers: enabled ? { ...keptTiers, NON_REASONING: value.tiers.NON_REASONING ?? [] } : keptTiers,
-          });
-        }}
-        aria-label="Add a non-reasoning tier"
-      />
-      <strong className="font-semibold">Add a non-reasoning tier</strong>
-    </div>
-    <span className="block text-xs mb-3 text-muted-foreground">
-      Adds NON_REASONING below Simple, for operational agent traffic that relays or reformats information rather than
-      reasoning about it. Escalation still moves up out of it when a request needs more.
-      {!available && " Requires the LLM classification method."}
-    </span>
-  </>
-);
+export const HEURISTIC_FIRST_MAX_TIER_KEYS = TIER_ORDER.slice(0, -1);
 
 const PlanModeOverrideControls: React.FC<{
   value: ComplexityRouterConfigValue;
diff --git a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
new file mode 100644
index 00000000000..794c2e5ec70
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
@@ -0,0 +1,49 @@
+import React from "react";
+
+import { Switch } from "@/components/ui/switch";
+
+import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
+
+/**
+ * The opt-in fifth tier. Only offered on the LLM classification method, matching the backend: the
+ * heuristic scorers cannot produce the tier, so enabling it there would buy a rubric bullet and a
+ * model pool that no request ever reaches.
+ */
+const NonReasoningTierToggle: React.FC<{
+  value: ComplexityRouterConfigValue;
+  onChange: (value: ComplexityRouterConfigValue) => void;
+  available: boolean;
+}> = ({ value, onChange, available }) => {
+  // Turning it off drops the tier's key rather than leaving an empty pool, which the backend
+  // rejects; turning it back on restores whatever pool the form still held.
+  const handleToggle = (enabled: boolean): void => {
+    const { NON_REASONING: existingPool, ...keptTiers } = value.tiers;
+    const next: ComplexityRouterConfigValue = {
+      ...value,
+      enable_non_reasoning_tier: enabled ? true : undefined,
+      tiers: enabled ? { ...keptTiers, NON_REASONING: existingPool ?? [] } : keptTiers,
+    };
+    onChange(next);
+  };
+
+  return (
+    <>
+      <div className="flex items-center gap-2 mt-4 mb-2">
+        <Switch
+          checked={value.enable_non_reasoning_tier === true}
+          disabled={!available}
+          onCheckedChange={handleToggle}
+          aria-label="Add a non-reasoning tier"
+        />
+        <strong className="font-semibold">Add a non-reasoning tier</strong>
+      </div>
+      <span className="block text-xs mb-3 text-muted-foreground">
+        Adds NON_REASONING below Simple, for operational agent traffic that relays or reformats information rather than
+        reasoning about it. Escalation still moves up out of it when a request needs more.
+        {!available && " Requires the LLM classification method."}
+      </span>
+    </>
+  );
+};
+
+export default NonReasoningTierToggle;
diff --git a/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx b/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx
new file mode 100644
index 00000000000..4b14307dda5
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx
@@ -0,0 +1,30 @@
+import React from "react";
+
+import { type ComplexityRouterConfigValue, heuristicScoringRole, usesLlmClassifier } from "./ComplexityRouterConfig";
+import { restrictedBy } from "./TierRestrictions";
+
+const tierConfigIntroText = (value: ComplexityRouterConfigValue): string => {
+  if (value.classifier_type === "heuristic_v2") {
+    return "The complexity router classifies each request with a calibrated local four-tier model (no API calls). Configure which model(s) handle each tier.";
+  }
+  if (heuristicScoringRole(value) === "never") {
+    return "The complexity router classifies each request with your classifier model and routes it to that tier. Configure which model(s) handle each tier.";
+  }
+  return "The complexity router automatically classifies requests by complexity using rule-based scoring (no API calls, <1ms latency). Configure which model(s) handle each tier.";
+};
+
+const TierConfigIntro: React.FC<{ value: ComplexityRouterConfigValue }> = ({ value }) => (
+  <>
+    <span className="block mb-6 text-muted-foreground">{tierConfigIntroText(value)}</span>
+
+    <span className="block mb-4 text-xs text-muted-foreground">
+      {restrictedBy(value, "displayNames")?.reason ??
+        "Rename a tier to use your own vocabulary in the dashboard and your spend logs. Renaming doesn't change how requests are classified, and callers never see these names."}
+      {!value.custom_tier_set &&
+        usesLlmClassifier(value.classifier_type) &&
+        " Your classifier model reads these names, so clearer ones can sharpen its choices."}
+    </span>
+  </>
+);
+
+export default TierConfigIntro;
diff --git a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts
new file mode 100644
index 00000000000..86e50130e43
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts
@@ -0,0 +1,52 @@
+import { describe, expect, it } from "vitest";
+
+import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
+import { nonReasoningTierFields } from "./ClassificationMethodConfig";
+
+const enabledValue: ComplexityRouterConfigValue = {
+  classifier_type: "llm",
+  enable_non_reasoning_tier: true,
+  tiers: {
+    NON_REASONING: ["relay-cheap"],
+    SIMPLE: ["gpt-4o-mini"],
+    MEDIUM: ["gpt-4o"],
+    COMPLEX: ["sonnet"],
+    REASONING: ["opus"],
+  },
+};
+
+describe("nonReasoningTierFields", () => {
+  it("keeps the tier and its pool while the classifier stays LLM", () => {
+    expect(nonReasoningTierFields("llm", enabledValue)).toEqual({
+      enable_non_reasoning_tier: true,
+      tiers: enabledValue.tiers,
+    });
+  });
+
+  it.each(["heuristic", "heuristic_v2", "heuristic_first", "hybrid"] as const)(
+    "clears the flag and the tier when the classifier becomes %s",
+    (classifierType) => {
+      // Leaving the flag set under a classifier that cannot emit the tier is a config the backend
+      // refuses, and the switch is disabled there, so the operator could never undo it.
+      const cleared = nonReasoningTierFields(classifierType, enabledValue);
+      expect(cleared.enable_non_reasoning_tier).toBeUndefined();
+      expect(cleared.tiers).not.toHaveProperty("NON_REASONING");
+    },
+  );
+
+  it("leaves the other tiers untouched when it clears", () => {
+    const { NON_REASONING: _dropped, ...expectedTiers } = enabledValue.tiers;
+    expect(nonReasoningTierFields("heuristic", enabledValue).tiers).toEqual(expectedTiers);
+  });
+
+  it("is a no-op for a router that never enabled the tier", () => {
+    const fourTier: ComplexityRouterConfigValue = {
+      classifier_type: "heuristic",
+      tiers: { SIMPLE: ["gpt-4o-mini"], MEDIUM: ["gpt-4o"], COMPLEX: ["sonnet"], REASONING: ["opus"] },
+    };
+    expect(nonReasoningTierFields("heuristic", fourTier)).toEqual({
+      enable_non_reasoning_tier: undefined,
+      tiers: fourTier.tiers,
+    });
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts b/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts
index 07b9a4702aa..872e8850d91 100644
--- a/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts
@@ -190,8 +190,15 @@ describe("the opt-in non-reasoning tier", () => {
   });
 
   it("renders an enabled tier with no models as an empty row rather than crashing", () => {
+    const emptyTierZeroRow: ActiveTierRow = {
+      id: "NON_REASONING",
+      name: "NON_REASONING",
+      definition: "",
+      models: [],
+      params: {},
+    };
     const rows = activeTierRows({ tiers, enable_non_reasoning_tier: true });
-    expect(rows[0]).toEqual({ id: "NON_REASONING", name: "NON_REASONING", definition: "", models: [], params: {} });
+    expect(rows[0]).toEqual(emptyTierZeroRow);
   });
 
   it("counts as a built-in name either way, so a custom set cannot claim the name", () => {
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 6a60b0db58a..81b5ed79abf 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -23573,22 +23573,16 @@ export interface components {
         };
         /**
          * AutoRouterPresetTiers
-         * @description The built-in tiers the dashboard's preset prefill can apply.
+         * @description Exactly the four built-in tiers the dashboard's preset prefill can apply.
          *
          *     extra="forbid" on purpose: a tier name this dashboard cannot apply would grey out or crash the
-         *     picker, so such a catalog is rejected wholesale and the bundled one serves instead. NON_REASONING
-         *     is optional rather than required so this proxy accepts both a catalog that ships the opt-in fifth
-         *     tier and the four-tier catalogs that predate it. It stays None when unset rather than defaulting
-         *     to an empty pool, so a four-tier preset serves the tier set it was published with instead of
-         *     growing a key the dashboard would render as an empty fifth tier row.
+         *     picker, so such a catalog is rejected wholesale and the bundled one serves instead.
          */
         AutoRouterPresetTiers: {
             /** Complex */
             COMPLEX: string[];
             /** Medium */
             MEDIUM: string[];
-            /** Non Reasoning */
-            NON_REASONING?: string[] | null;
             /** Reasoning */
             REASONING: string[];
             /** Simple */
diff --git a/ui/litellm-dashboard/tsconfig.tsbuildinfo b/ui/litellm-dashboard/tsconfig.tsbuildinfo
index 38e28e4f476..1036720c31e 100644
--- a/ui/litellm-dashboard/tsconfig.tsbuildinfo
+++ b/ui/litellm-dashboard/tsconfig.tsbuildinfo
@@ -1 +1 @@
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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3755,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4094,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4354,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4619,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4691,"length":12,"messageText":"Parameter 'defaultModel' implicitly has an 'any' type.","category":1,"code":7006},{"start":4905,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[1997,[{"start":507,"length":10,"code":2739,"category":1,"messageText":"Type '{ tiers: { SIMPLE: string[]; MEDIUM: string[]; COMPLEX: string[]; REASONING: string[]; }; tierLabels: undefined; classifierType: \"heuristic\"; classifierLlmConfig: undefined; classifierContextWindowSize: undefined; ... 15 more ...; returnRawModelName: false; }' is missing the following properties from type 'BuildComplexityRouterConfigParams': defaultModel, planModeMinTier, heuristicFirstMaxTier","canonicalHead":{"code":2322,"messageText":"Type '{ tiers: { SIMPLE: string[]; MEDIUM: string[]; COMPLEX: string[]; REASONING: string[]; }; tierLabels: undefined; classifierType: \"heuristic\"; classifierLlmConfig: undefined; classifierContextWindowSize: undefined; ... 15 more ...; returnRawModelName: false; }' is not assignable to type 'BuildComplexityRouterConfigParams'."}},{"start":1221,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1271,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1435,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1639,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1863,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1956,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2147,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2204,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2450,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2543,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2803,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2851,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2950,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3246,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3309,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3756,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3815,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3883,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4294,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4361,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4434,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4780,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4847,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4920,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5311,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5375,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6087,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6150,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6217,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6637,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6694,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6820,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7328,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7380,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7437,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7542,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7604,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7664,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8384,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8908,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8953,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9064,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9123,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9277,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9340,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9541,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9594,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9805,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9859,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10014,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10072,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10382,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10422,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10496,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10549,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10604,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10949,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10989,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11051,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11116,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11223,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11307,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11380,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11548,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11636,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11824,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11960,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12133,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12200,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12328,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12450,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12533,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12683,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12748,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12918,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13418,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13465,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13530,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13797,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13890,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14140,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14214,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14399,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14588,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":14596,"length":8,"messageText":"Parameter 'keywords' implicitly has an 'any' type.","category":1,"code":7006},{"start":14615,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14868,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14943,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14957,"length":24,"messageText":"Expected 2 arguments, but got 1.","category":1,"code":2554,"relatedInformation":[{"file":"./src/components/add_model/build_complexity_router_config.ts","start":8516,"length":24,"messageText":"An argument for 'rows' was not provided.","category":3,"code":6210}]},{"start":15302,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15391,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15546,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15790,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15972,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16051,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16277,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16357,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16700,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16826,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16912,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17147,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17556,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17654,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17737,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18148,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18220,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18528,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18614,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18713,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18956,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19113,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19480,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19571,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19966,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20052,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20165,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20267,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20442,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20597,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20631,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20710,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20796,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21092,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21145,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21377,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21457,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21555,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21763,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21818,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21859,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21905,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21964,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22176,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22265,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22359,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22458,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22552,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22631,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22722,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22794,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22886,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22977,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23049,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23089,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23160,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23223,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23265,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23389,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23559,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23638,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23688,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23760,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23886,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23951,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24432,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24575,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24633,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24698,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24735,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24824,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24927,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25035,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25140,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25249,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25414,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25744,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25806,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25882,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26055,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26100,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26292,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26358,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26496,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26556,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26747,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26815,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26955,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27005,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27116,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27282,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27383,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27506,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27574,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27656,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27755,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28047,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28208,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28254,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28340,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28427,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28523,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28676,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28729,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28882,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28987,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29049,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29237,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29415,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29520,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29700,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29805,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29952,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30345,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30464,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30524,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30589,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30771,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30865,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30924,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30987,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31054,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31330,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[1998,[{"start":196,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":238,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":501,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":595,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":679,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":786,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":890,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":976,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1134,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1208,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1349,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1425,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1463,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1587,"length":12,"messageText":"Parameter 'systemPrompt' implicitly has an 'any' type.","category":1,"code":7006},{"start":1601,"length":8,"messageText":"Parameter 'expected' implicitly has an 'any' type.","category":1,"code":7006},{"start":1620,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1707,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1746,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1823,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1920,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2040,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2039,[{"start":2106,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2163,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2357,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2427,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2615,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2687,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2905,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2970,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3155,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3235,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3411,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3485,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3799,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2043,[{"start":1600,"length":17,"code":2322,"category":1,"messageText":{"messageText":"Type '{ budget_limit: number; time_period: string; } | { max_budget: number; budget_duration: string; }' is not assignable to type 'ModelBudgetConfig'.","category":1,"code":2322,"next":[{"messageText":"Type '{ max_budget: number; budget_duration: string; }' is missing the following properties from type 'ModelBudgetConfig': budget_limit, time_period","category":1,"code":2739,"canonicalHead":{"code":2322,"messageText":"Type '{ max_budget: number; budget_duration: string; }' is not assignable to type 'ModelBudgetConfig'."}}]}},{"start":2144,"length":12,"code":2322,"category":1,"messageText":{"messageText":"Type 'string | number' is not assignable to type 'number'.","category":1,"code":2322,"next":[{"messageText":"Type 'string' is not assignable to type 'number'.","category":1,"code":2322}]},"relatedInformation":[{"file":"./src/components/key_team_helpers/modelmaxbudgeteditor.tsx","start":506,"length":12,"messageText":"The expected type comes from property 'budget_limit' which is declared here on type 'ModelBudgetConfig'","category":3,"code":6500}]},{"start":2388,"length":12,"code":2322,"category":1,"messageText":"Type 'string' is not assignable to type 'number'.","relatedInformation":[{"file":"./src/components/key_team_helpers/modelmaxbudgeteditor.tsx","start":506,"length":12,"messageText":"The expected type comes from property 'budget_limit' which is declared here on type 'ModelBudgetConfig'","category":3,"code":6500}]},{"start":3742,"length":8,"code":2739,"category":1,"messageText":"Type '{ max_budget: number; 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":366,"length":9,"messageText":"Cannot find name 'afterEach'.","category":1,"code":2304},{"start":417,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":500,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":569,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":702,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":944,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1191,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1353,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1621,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1713,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2069,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2354,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2569,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2908,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2988,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3401,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3480,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3592,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3750,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3076,[{"start":5828,"length":11,"code":2322,"category":1,"messageText":"Type 'null' is not assignable to type 'string | undefined'."}]],[3173,[{"start":2696,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."},{"start":2826,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."},{"start":3842,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."}]],[3182,[{"start":10763,"length":423,"code":2352,"category":1,"messageText":{"messageText":"Conversion of type '{ status: \"healthy\"; last_health_check: string; health_check_error: null; teams: { team_id: string; }[]; allowed_tools: string[]; has_user_credential: true; approval_status: \"approved\"; submitted_by: string; ... 47 more ...; env_vars?: MCPEnvVar[] | null; }' to type 'MCPServer' may be a mistake because neither type sufficiently overlaps with the other. If this was intentional, convert the expression to 'unknown' first.","category":1,"code":2352,"next":[{"messageText":"Types of property 'approval_status' are incompatible.","category":1,"code":2326,"next":[{"messageText":"Type '\"approved\"' is not comparable to type '\"active\" | \"rejected\" | \"pending_review\" | null | undefined'.","category":1,"code":2678}]}]}}]],[3292,[{"start":4242,"length":15,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: boolean; isAuthorized: boolean; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: boolean; isAuthorized: boolean; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}}]],[3296,[{"start":4842,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":11747,"length":24,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ model_name: string; litellm_params: { model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }; model_info: { id: string; db_model: boolean; created_at: string; }; }[]' is not assignable to parameter of type '({ model_name: string; litellm_params: { model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; auto_router_config?: undefined; auto_router_default_model?: undefined; }; model_info: { ...; }; } | { ...; } | { ...; } | { ...; } | { ...; })[]'.","category":1,"code":2345,"next":[{"messageText":"Type '{ model_name: string; litellm_params: { model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }; model_info: { id: string; db_model: boolean; created_at: string; }; }' is not assignable to type '{ model_name: string; litellm_params: { model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; auto_router_config?: undefined; auto_router_default_model?: undefined; }; model_info: { ...; }; } | { ...; } | { ...; } | { ...; } | { ...; }'.","category":1,"code":2322,"next":[{"messageText":"Type '{ model_name: string; litellm_params: { model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }; model_info: { id: string; db_model: boolean; created_at: string; }; }' is not assignable to type '{ model_name: string; litellm_params: { model: string; auto_router_config: string; auto_router_default_model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; }; model_info: { ...; }; }'.","category":1,"code":2322,"next":[{"messageText":"Types of property 'litellm_params' are incompatible.","category":1,"code":2326,"next":[{"messageText":"Type '{ model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }' is missing the following properties from type '{ model: string; auto_router_config: string; auto_router_default_model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; }': auto_router_config, auto_router_default_model","category":1,"code":2739,"canonicalHead":{"code":2322,"messageText":"Type '{ model_name: string; litellm_params: { model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }; model_info: { id: string; db_model: boolean; created_at: string; }; }' is not assignable to type '{ model_name: string; litellm_params: { model: string; auto_router_config: string; auto_router_default_model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; }; model_info: { ...; }; }'."}}]}]}]}]}}]],[3569,[{"start":2185,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2365,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2415,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":2652,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3085,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3188,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3674,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3861,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3998,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4041,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":4130,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4412,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3603,[{"start":2516,"length":2,"code":2345,"category":1,"messageText":"Argument of type '{}' is not assignable to parameter of type 'void'."}]],[3648,[{"start":11320,"length":300,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}},{"start":20146,"length":308,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}},{"start":30967,"length":331,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}},{"start":31850,"length":331,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}}]],[3701,[{"start":3053,"length":46,"code":2352,"category":1,"messageText":{"messageText":"Conversion of type '[url: string][]' to type '[string, RequestInit][]' may be a mistake because neither type sufficiently overlaps with the other. If this was intentional, convert the expression to 'unknown' first.","category":1,"code":2352,"next":[{"messageText":"Type '[url: string]' is not comparable to type '[string, RequestInit]'.","category":1,"code":2678,"next":[{"messageText":"Source has 1 element(s) but target requires 2.","category":1,"code":2618}]}]}}]],[3727,[{"start":9097,"length":9,"messageText":"Cannot find name 'afterEach'.","category":1,"code":2304}]],[3745,[{"start":401,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":442,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":647,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":711,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":957,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1064,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1307,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1383,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1651,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1701,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1948,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1998,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2220,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2297,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2528,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3750,[{"start":792,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":835,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1122,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1226,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1306,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1527,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1712,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1913,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2009,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2261,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2311,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2510,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2560,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2731,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3760,[{"start":780,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":813,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":891,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1117,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1321,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1371,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1570,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1620,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1789,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2053,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2107,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2176,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2342,"length":8,"messageText":"Parameter 'severity' implicitly has an 'any' type.","category":1,"code":7006},{"start":2352,"length":9,"messageText":"Parameter 'iconClass' implicitly has an 'any' type.","category":1,"code":7006},{"start":2505,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2857,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3063,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3512,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3571,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3661,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4075,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3798,[{"start":2005,"length":27,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]},{"start":2084,"length":26,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]}]],[3806,[{"start":162,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":205,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":602,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":751,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3807,[{"start":119,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":155,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":397,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":451,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":699,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":788,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":880,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1165,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1233,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1560,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1820,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3808,[{"start":211,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":252,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":384,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":454,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":615,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":698,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":788,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":875,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1503,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1570,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1738,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3809,[{"start":877,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":917,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1106,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1769,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2872,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2940,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3009,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3810,[{"start":144,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":359,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":488,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":554,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":732,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":793,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":961,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1031,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1248,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1396,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1468,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1599,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3815,[{"start":236,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":276,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":330,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":583,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":735,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":802,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":859,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1173,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1267,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1590,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1754,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1854,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2168,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2268,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3839,[{"start":1201,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1242,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":1294,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1434,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1627,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1875,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1963,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2273,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2391,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2426,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2681,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2876,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2924,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3198,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3285,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3314,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3448,"length":8,"messageText":"Parameter 'severity' implicitly has an 'any' type.","category":1,"code":7006},{"start":3458,"length":5,"messageText":"Parameter 'label' implicitly has an 'any' type.","category":1,"code":7006},{"start":3609,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3847,[{"start":5180,"length":36,"messageText":"Object is possibly 'null'.","category":1,"code":2531}]],[3849,[{"start":208,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":242,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":387,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":451,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":525,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":605,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":681,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":864,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":932,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1101,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1167,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1339,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1423,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1485,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1663,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1726,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1772,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1825,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1880,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1947,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1998,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3854,[{"start":1780,"length":8,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ token: string; accessToken: string; userId: string; userEmail: string; userRole: string; 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4103,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4162,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4476,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4653,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4712,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4861,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3859,[{"start":1381,"length":8,"messageText":"Cannot find name 'describe'. 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3946,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4061,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4799,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4862,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5432,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5502,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5568,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5633,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5706,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5769,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5866,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6429,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6614,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6700,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7224,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7307,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7925,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8037,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8581,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8658,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8754,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9214,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9314,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9598,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9686,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10263,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10308,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10403,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10686,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10765,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10862,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11597,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11714,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11924,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12008,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12354,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12411,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12475,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13196,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13276,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14029,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14131,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14357,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14433,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14528,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14937,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15019,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15143,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15231,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15704,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15831,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15869,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15948,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16636,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16760,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17347,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17494,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17847,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17926,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18001,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18085,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18365,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18434,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18512,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19051,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19118,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19147,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19592,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19677,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19759,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19893,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19979,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20448,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20537,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21001,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21096,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21415,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21499,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21573,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21944,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22017,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22092,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22244,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22340,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22583,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22865,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22961,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23334,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23372,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23449,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24046,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24171,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24474,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25250,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25330,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25818,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25912,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26391,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26429,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26502,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27053,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27458,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27533,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27630,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28208,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28253,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28302,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28621,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28682,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28783,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29078,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29123,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29251,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29494,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29580,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29883,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29928,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29985,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30075,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30326,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30419,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30780,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30896,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31033,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31143,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31378,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31556,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31620,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31683,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31754,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31833,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32005,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32092,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32187,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32472,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32556,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32875,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32913,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32986,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33150,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33249,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33390,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33482,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33723,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33782,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33845,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34207,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34324,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34704,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34813,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35194,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35291,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35558,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35684,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35839,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36120,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36445,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36896,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36934,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37005,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37453,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37491,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37556,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37828,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37899,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38459,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38580,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39187,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39389,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39681,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39768,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40176,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40294,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40355,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40833,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40920,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41014,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41296,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41413,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41485,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41748,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41802,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42193,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42244,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42687,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43404,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43505,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43574,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43728,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44012,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44318,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44472,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44544,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44929,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45003,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45436,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45738,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46146,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46461,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46740,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46887,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47293,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47893,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":47901,"length":5,"messageText":"Parameter 'value' implicitly has an 'any' type.","category":1,"code":7006},{"start":47953,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48037,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48323,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3860,[{"start":10021,"length":28,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to parameter of type 'UseQueryResult<ComplexityScorerDefaults, Error>'.","category":1,"code":2345,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to type 'QueryObserverRefetchErrorResult<ComplexityScorerDefaults, Error> | QueryObserverSuccessResult<ComplexityScorerDefaults, Error> | QueryObserverPlaceholderResult<...>'.","category":1,"code":2322,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is missing the following properties from type 'QueryObserverPlaceholderResult<ComplexityScorerDefaults, Error>': error, isLoading, isLoadingError, isRefetchError, and 18 more.","category":1,"code":2740,"canonicalHead":{"code":2322,"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to type 'QueryObserverPlaceholderResult<ComplexityScorerDefaults, Error>'."}}]}]}},{"start":11180,"length":28,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to parameter of type 'UseQueryResult<ComplexityScorerDefaults, Error>'.","category":1,"code":2345,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to type 'QueryObserverRefetchErrorResult<ComplexityScorerDefaults, Error> | QueryObserverSuccessResult<ComplexityScorerDefaults, Error> | QueryObserverPlaceholderResult<...>'.","category":1,"code":2322,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is missing the following properties from type 'QueryObserverPlaceholderResult<ComplexityScorerDefaults, Error>': error, isLoading, isLoadingError, isRefetchError, and 18 more.","category":1,"code":2740,"canonicalHead":{"code":2322,"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to type 'QueryObserverPlaceholderResult<ComplexityScorerDefaults, Error>'."}}]}]}}]],[3862,[{"start":670,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":995,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1089,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1162,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1222,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1294,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1454,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1549,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1753,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1842,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2056,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3864,[{"start":2791,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5175,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5214,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":5831,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5951,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6355,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6471,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6561,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6872,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6961,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7052,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7185,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7265,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7479,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7548,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7893,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8489,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8548,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8955,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9452,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9618,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9711,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9778,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10272,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10460,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10544,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10641,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11328,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11420,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11510,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12247,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12306,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12509,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13103,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13170,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13594,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13807,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13866,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14218,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14915,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14974,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15139,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15751,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15966,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16392,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16629,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16688,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16847,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17478,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17537,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17821,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18064,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18185,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18222,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18593,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18681,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19959,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20106,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20147,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20208,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20413,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20530,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20601,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21407,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21666,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21758,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21864,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21905,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22367,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22427,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22775,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22872,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23093,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23284,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23344,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24186,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24312,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24398,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24703,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25025,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25122,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25433,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25650,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25748,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26242,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26599,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27132,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27193,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27512,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28056,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28891,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29352,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30027,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30195,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30240,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30296,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30371,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31051,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":31202,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31595,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31918,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32108,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32179,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32514,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32856,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33024,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33069,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33191,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33234,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":33335,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33793,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33854,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34019,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34699,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34760,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34937,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35734,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36114,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36204,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36307,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36717,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36856,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37138,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37199,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37653,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38263,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38388,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38592,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":38600,"length":9,"messageText":"Parameter 'modelName' implicitly has an 'any' type.","category":1,"code":7006},{"start":38950,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39037,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39124,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39677,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5957,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6026,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2047,[{"start":613,"length":10,"code":2739,"category":1,"messageText":"Type '{ tiers: { SIMPLE: string[]; MEDIUM: string[]; COMPLEX: string[]; REASONING: string[]; }; tierLabels: undefined; classifierType: \"heuristic\"; classifierLlmConfig: undefined; classifierContextWindowSize: undefined; ... 16 more ...; returnRawModelName: false; }' is missing the following properties from type 'BuildComplexityRouterConfigParams': defaultModel, planModeMinTier, classificationExamples, heuristicFirstMaxTier, classificationMode","canonicalHead":{"code":2322,"messageText":"Type '{ tiers: { SIMPLE: string[]; MEDIUM: string[]; COMPLEX: string[]; REASONING: string[]; }; tierLabels: undefined; classifierType: \"heuristic\"; classifierLlmConfig: undefined; classifierContextWindowSize: undefined; ... 16 more ...; returnRawModelName: false; }' is not assignable to type 'BuildComplexityRouterConfigParams'."}},{"start":1362,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1412,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1879,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1922,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2185,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2250,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2318,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2428,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2537,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2701,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2765,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2989,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3273,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3330,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3576,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3669,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3929,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3977,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4076,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4478,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4554,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4850,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4913,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5321,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5378,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5436,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5503,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5564,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6011,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6070,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6138,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6549,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6689,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7035,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7102,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7175,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7566,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7630,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8085,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8342,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8405,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8472,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8892,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8949,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9023,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9075,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9583,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9635,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9692,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9797,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9859,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9919,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10639,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10839,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11199,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11244,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11297,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11355,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11414,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11568,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11631,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11752,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11863,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11945,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12063,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12189,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12309,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12396,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12536,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12737,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12790,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13001,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13055,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13210,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13268,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13614,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13654,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13728,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13781,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13836,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14217,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14257,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14384,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14427,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14491,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14575,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14648,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14816,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14904,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15092,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15228,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15401,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15468,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15596,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15718,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15801,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15951,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16016,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16186,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16274,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16445,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16528,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16686,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16733,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16798,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17065,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17158,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17408,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17482,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17667,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17856,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":17864,"length":8,"messageText":"Parameter 'keywords' implicitly has an 'any' type.","category":1,"code":7006},{"start":17883,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18136,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18211,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18225,"length":24,"messageText":"Expected 2 arguments, but got 1.","category":1,"code":2554,"relatedInformation":[{"file":"./src/components/add_model/build_complexity_router_config.ts","start":11634,"length":24,"messageText":"An argument for 'rows' was not provided.","category":3,"code":6210}]},{"start":18570,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18659,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18814,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19058,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19240,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19319,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19545,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19625,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19884,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19968,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20094,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20180,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20415,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20824,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20922,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21005,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21335,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21416,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21488,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21639,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21796,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21882,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21981,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22222,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22299,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22448,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22534,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22777,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22934,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23301,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23392,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23787,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23873,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23986,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24430,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24528,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24650,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24747,"length":5,"messageText":"Parameter 'extra' implicitly has an 'any' type.","category":1,"code":7006},{"start":24874,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24973,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25007,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25086,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25172,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25468,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25521,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25753,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25833,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26139,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26194,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26235,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26281,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26340,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26552,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26641,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26735,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26834,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26928,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27007,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27098,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27170,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27262,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27353,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27425,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27465,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27536,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27599,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27641,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27765,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27935,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28014,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28064,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28136,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28206,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28262,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28327,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28808,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28951,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29009,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29074,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29111,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29200,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29303,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29411,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29516,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29625,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29790,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29960,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30120,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30182,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30258,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30431,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30476,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30668,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30734,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30872,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30932,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31123,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31191,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31331,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31381,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31492,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31548,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31658,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31759,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31882,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31950,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32032,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32131,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32382,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32423,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32584,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32630,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32716,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32803,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32879,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32969,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33065,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33218,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33548,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33728,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33781,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33934,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34151,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34340,"length":25,"messageText":"Parameter 'supportedReasoningEfforts' implicitly has an 'any' type.","category":1,"code":7006},{"start":34367,"length":13,"messageText":"Parameter 'expectedError' implicitly has an 'any' type.","category":1,"code":7006},{"start":34577,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34626,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34663,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34768,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34940,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35018,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35196,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35301,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35481,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35586,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35733,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36126,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36245,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36305,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36370,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36552,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36646,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36705,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36835,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37127,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37201,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37487,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37595,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37684,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37807,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37972,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38023,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38184,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38582,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38654,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38696,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38893,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38999,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39151,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39253,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39983,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40130,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40227,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40418,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40473,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40585,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40670,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40767,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40847,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40943,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41167,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41272,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41377,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41649,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41726,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41871,"length":14,"messageText":"Parameter 'classifierType' implicitly has an 'any' type.","category":1,"code":7006},{"start":42061,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42137,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42604,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42714,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43028,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43104,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43470,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43834,"length":5,"messageText":"Parameter '_name' implicitly has an 'any' type.","category":1,"code":7006},{"start":43841,"length":3,"messageText":"Parameter 'key' implicitly has an 'any' type.","category":1,"code":7006},{"start":44691,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44866,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45088,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45156,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45210,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45411,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45471,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45571,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45666,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45765,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45860,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45955,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46061,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46162,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46369,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46532,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46722,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46791,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46834,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46950,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47035,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47721,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47957,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48073,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48393,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48480,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48847,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48902,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48977,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49044,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49327,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49393,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49474,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49787,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49843,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49895,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49962,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50166,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50222,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50288,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50371,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50409,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50526,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50631,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50749,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50873,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50943,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51142,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51246,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51303,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51380,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51566,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51780,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51854,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52297,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52371,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52620,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2048,[{"start":196,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":238,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":501,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":595,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":679,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":786,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":890,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":976,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1134,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1208,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1349,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1425,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1463,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1587,"length":12,"messageText":"Parameter 'systemPrompt' implicitly has an 'any' type.","category":1,"code":7006},{"start":1601,"length":8,"messageText":"Parameter 'expected' implicitly has an 'any' type.","category":1,"code":7006},{"start":1620,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1707,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1746,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1823,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1920,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2040,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2089,[{"start":11595,"length":6,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ session_affinity_ttl_seconds: number; tiers: { SIMPLE: string[]; MEDIUM: never[]; COMPLEX: never[]; REASONING: never[]; }; classifier_type: string; keyword_tier_rules: { keywords: string[]; tier: string; }[]; ... 4 more ...; some_future_backend_key: { ...; }; }' is not assignable to parameter of type 'StoredComplexityRouterConfig'.","category":1,"code":2345,"next":[{"messageText":"Types of property 'classifier_type' are incompatible.","category":1,"code":2326,"next":[{"messageText":"Type 'string' is not assignable to type 'ClassifierType | undefined'.","category":1,"code":2322}]}]}},{"start":13641,"length":6,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ modality_routing: boolean; 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2392,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2586,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2656,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2844,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2916,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3012,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3051,"length":15,"messageText":"Spread types may only be created from object types.","category":1,"code":2698},{"start":3147,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3184,"length":12,"code":2559,"category":1,"messageText":"Type 'string' has no properties in common with type 'StoredComplexityRouterConfig'."},{"start":3244,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3460,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3570,"length":15,"messageText":"Spread types may only be created from object types.","category":1,"code":2698},{"start":3683,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3739,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3840,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3886,"length":15,"messageText":"Spread types may only be created from object types.","category":1,"code":2698},{"start":3985,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4022,"length":12,"code":2559,"category":1,"messageText":"Type 'string' has no properties in common with type 'StoredComplexityRouterConfig'."},{"start":4087,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4428,"length":15,"messageText":"Spread types may only be created from object types.","category":1,"code":2698},{"start":4551,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4612,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4895,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3690,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4031,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4484,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4533,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4878,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4940,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4977,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5400,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5476,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6141,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6218,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6485,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6532,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6573,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6639,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6703,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6766,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6823,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6888,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7012,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7166,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7255,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7379,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7452,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7497,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7552,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7599,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7663,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7736,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7807,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7880,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7925,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8020,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8403,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8481,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8933,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9013,"length":2,"messageText":"Cannot find name 'it'. 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10661,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10731,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10785,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11070,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11113,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11970,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12047,"length":2,"messageText":"Cannot find name 'it'. 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1191,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1353,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1621,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1713,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2069,"length":2,"messageText":"Cannot find name 'it'. 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3401,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3480,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3592,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3750,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3254,[{"start":2766,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."},{"start":2896,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."},{"start":3912,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."}]],[3263,[{"start":10763,"length":423,"code":2352,"category":1,"messageText":{"messageText":"Conversion of type '{ status: \"healthy\"; last_health_check: string; health_check_error: null; teams: { team_id: string; }[]; allowed_tools: string[]; has_user_credential: true; approval_status: \"approved\"; submitted_by: string; ... 47 more ...; env_vars?: MCPEnvVar[] | null; }' to type 'MCPServer' may be a mistake because neither type sufficiently overlaps with the other. 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2415,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":2652,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3085,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3188,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3674,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3861,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3998,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4041,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":4130,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":647,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":711,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":957,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1064,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1307,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1383,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1651,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1701,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1948,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1998,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2220,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2297,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2528,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3833,[{"start":792,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":835,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1122,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1226,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1306,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1527,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1712,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1913,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2009,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2261,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2311,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2510,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2560,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2731,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3843,[{"start":780,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":813,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":891,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1117,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1321,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1371,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1570,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1620,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1789,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2053,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2107,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2176,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2342,"length":8,"messageText":"Parameter 'severity' implicitly has an 'any' type.","category":1,"code":7006},{"start":2352,"length":9,"messageText":"Parameter 'iconClass' implicitly has an 'any' type.","category":1,"code":7006},{"start":2505,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2857,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3063,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3512,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3571,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3661,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4075,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3880,[{"start":2005,"length":27,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]},{"start":2084,"length":26,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]}]],[3888,[{"start":162,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":205,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":602,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":751,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3889,[{"start":119,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":155,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":397,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":451,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":699,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":788,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":880,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1165,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1233,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1560,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1820,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3890,[{"start":211,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":252,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":384,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":454,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":615,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":698,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":788,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":875,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1503,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1570,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1738,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3891,[{"start":877,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":917,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1106,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1769,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2872,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2940,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3009,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3483,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3633,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3667,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3766,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4264,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4439,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4498,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4989,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5022,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3892,[{"start":144,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":359,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":488,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":554,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":732,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":793,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":961,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1031,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1248,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1396,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1468,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1599,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3898,[{"start":236,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":276,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":330,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":583,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":735,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":802,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":859,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1173,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1267,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1590,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1754,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1854,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2168,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2268,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3925,[{"start":1201,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1242,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":1294,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1434,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1627,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1875,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1963,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2273,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2391,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2426,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2681,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2876,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2924,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3198,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3285,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3314,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3448,"length":8,"messageText":"Parameter 'severity' implicitly has an 'any' type.","category":1,"code":7006},{"start":3458,"length":5,"messageText":"Parameter 'label' implicitly has an 'any' type.","category":1,"code":7006},{"start":3609,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3933,[{"start":5200,"length":36,"messageText":"Object is possibly 'null'.","category":1,"code":2531}]],[3935,[{"start":208,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":242,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":387,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":451,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":525,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":605,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":681,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":864,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":932,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1101,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1167,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1339,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1423,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1485,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1663,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1726,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1772,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2186,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2268,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2372,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2435,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2539,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3054,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3689,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3944,[{"start":837,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":1657,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1766,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1811,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2092,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2179,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2275,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2634,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2723,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3113,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3206,"length":2,"messageText":"Cannot find name 'it'. 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4375,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4449,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4642,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4701,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5192,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5251,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5400,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3945,[{"start":1408,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1453,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1553,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1641,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2980,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3046,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3188,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3259,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3580,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3618,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3673,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3718,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3924,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4009,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4090,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4582,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5320,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5383,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5802,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5847,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6204,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6280,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6356,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6458,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6535,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7105,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7175,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7245,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7339,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7430,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7505,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7602,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8188,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8233,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8290,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8377,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8839,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8914,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9002,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9526,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9609,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10227,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10339,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10883,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10960,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11056,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11516,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11616,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11900,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11988,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12565,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12610,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12705,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12988,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13164,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13729,"length":5,"messageText":"Parameter 'label' implicitly has an 'any' type.","category":1,"code":7006},{"start":13736,"length":11,"messageText":"Parameter 'replacement' implicitly has an 'any' type.","category":1,"code":7006},{"start":13749,"length":8,"messageText":"Parameter 'expected' implicitly has an 'any' type.","category":1,"code":7006},{"start":14281,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14316,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14428,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14510,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15129,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15170,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15380,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15464,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15867,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16652,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16732,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17485,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17587,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17813,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17889,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17984,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18393,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18475,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18599,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18687,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19160,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19287,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19325,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19404,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20092,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20216,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20742,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20803,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20950,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21018,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21303,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21382,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21457,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21541,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21821,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21890,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21968,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22546,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22613,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22642,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23087,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23254,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23388,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23474,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23943,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24032,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24496,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24591,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24910,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24994,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25068,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25439,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25512,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25587,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25739,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25835,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26078,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26360,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26456,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26829,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26867,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26944,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27541,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27666,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27969,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28057,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28745,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28825,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29407,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29886,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29924,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29997,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30245,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30516,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30596,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30689,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30781,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31178,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31325,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31738,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31888,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32296,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32379,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32477,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32838,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33002,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33040,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33117,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33567,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33669,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34220,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34698,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34793,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35416,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35465,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35547,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35784,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35857,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36463,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36634,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36683,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36762,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37118,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37211,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37701,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37746,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37803,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37893,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38263,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38355,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38456,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38601,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38704,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38939,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39181,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39244,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39315,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39394,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39566,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39653,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39748,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40033,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40117,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40436,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40474,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40547,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40711,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40810,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40951,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41043,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41284,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41343,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41406,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41885,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41945,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42340,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42408,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42501,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42754,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43050,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43418,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43512,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44018,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44090,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44181,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44503,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44617,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44677,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44930,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45045,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45162,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45543,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45640,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45907,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46031,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46389,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46502,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46573,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46677,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47108,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47224,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47327,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47743,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47847,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48002,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48173,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48283,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48608,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48725,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49059,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49097,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49168,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49654,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49719,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49991,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50062,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50622,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50743,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51226,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51350,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51552,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51844,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52339,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52457,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52518,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52996,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53083,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":53459,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53576,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":53648,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":53911,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53965,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":54356,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":54407,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":54850,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":55011,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":55567,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":55668,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":56214,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":56482,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":56561,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":56733,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":57069,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":57238,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":57698,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":57756,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":58198,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":58349,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":58465,"length":6,"messageText":"Parameter 'action' implicitly has an 'any' type.","category":1,"code":7006},{"start":58919,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":58975,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":59193,"length":5,"messageText":"Parameter 'model' implicitly has an 'any' type.","category":1,"code":7006},{"start":59200,"length":6,"messageText":"Parameter 'effort' implicitly has an 'any' type.","category":1,"code":7006},{"start":59208,"length":5,"messageText":"Parameter 'label' implicitly has an 'any' type.","category":1,"code":7006},{"start":59215,"length":7,"messageText":"Parameter 'warning' implicitly has an 'any' type.","category":1,"code":7006},{"start":59367,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":59507,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":59571,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":59678,"length":5,"messageText":"Parameter 'model' implicitly has an 'any' type.","category":1,"code":7006},{"start":59802,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":59950,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":60019,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":60173,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":60457,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":60763,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":60917,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":60989,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":61374,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":61448,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":61881,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":62183,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":62591,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":62906,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":63185,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":63332,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":63738,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":64338,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":64346,"length":5,"messageText":"Parameter 'value' implicitly has an 'any' type.","category":1,"code":7006},{"start":64398,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":64482,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":64845,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":64937,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":65991,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":66137,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":66232,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":66455,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":66604,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":66964,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67088,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":67264,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67348,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":67699,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67756,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67813,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":68094,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68251,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68308,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":68447,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68519,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68569,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":68785,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68977,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69074,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69153,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":69442,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69526,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69648,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":69919,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69997,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":70113,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":70549,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":70650,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":71037,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":71115,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":71233,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":71310,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":71435,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":71531,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":71824,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":71911,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":72476,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":72592,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":73177,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":73299,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":73895,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":73960,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":74178,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":74275,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":74386,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":74463,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":74933,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75001,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75046,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75192,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":75500,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75601,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75691,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75817,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":76249,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":76345,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":76435,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":76556,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":77078,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":77170,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":77271,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":77467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":77558,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":77682,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":78289,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":78568,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":78606,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":78728,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":78815,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":79163,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":79454,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":79644,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":80140,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":80175,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":80278,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":80468,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":80723,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3946,[{"start":10172,"length":28,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to parameter of type 'UseQueryResult<ComplexityScorerDefaults, Error>'.","category":1,"code":2345,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to type 'QueryObserverRefetchErrorResult<ComplexityScorerDefaults, Error> | QueryObserverSuccessResult<ComplexityScorerDefaults, Error> | QueryObserverPlaceholderResult<...>'.","category":1,"code":2322,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is missing the following properties from type 'QueryObserverPlaceholderResult<ComplexityScorerDefaults, Error>': error, isLoading, isLoadingError, isRefetchError, and 18 more.","category":1,"code":2740,"canonicalHead":{"code":2322,"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to type 'QueryObserverPlaceholderResult<ComplexityScorerDefaults, Error>'."}}]}]}},{"start":11331,"length":28,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to parameter of type 'UseQueryResult<ComplexityScorerDefaults, Error>'.","category":1,"code":2345,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to type 'QueryObserverRefetchErrorResult<ComplexityScorerDefaults, Error> | QueryObserverSuccessResult<ComplexityScorerDefaults, Error> | QueryObserverPlaceholderResult<...>'.","category":1,"code":2322,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is missing the following properties from type 'QueryObserverPlaceholderResult<ComplexityScorerDefaults, Error>': error, isLoading, isLoadingError, isRefetchError, and 18 more.","category":1,"code":2740,"canonicalHead":{"code":2322,"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock<Procedure>; }' is not assignable to type 'QueryObserverPlaceholderResult<ComplexityScorerDefaults, Error>'."}}]}]}}]],[3947,[{"start":1213,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":1412,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1478,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1878,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2020,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2305,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2574,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2996,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3076,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3207,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3717,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3910,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4162,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4286,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4544,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4630,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4727,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5238,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5478,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5600,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5817,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6317,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6708,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6776,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6866,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7042,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7129,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7231,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7331,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7640,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7722,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8356,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8618,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8663,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8736,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8982,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9239,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9341,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9448,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9710,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9883,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10017,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10109,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10204,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10624,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10809,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11251,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3949,[{"start":670,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":995,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1089,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1162,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1222,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1294,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1454,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1549,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1753,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1842,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2056,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3950,[{"start":450,"length":5,"code":2322,"category":1,"messageText":{"messageText":"Type '{ SIMPLE: string; MEDIUM: string; COMPLEX: string; REASONING: string; }' is not assignable to type 'ComplexityTiers'.","category":1,"code":2322,"next":[{"messageText":"Types of property 'SIMPLE' are incompatible.","category":1,"code":2326,"next":[{"messageText":"Type 'string' is not assignable to type 'string[]'.","category":1,"code":2322,"canonicalHead":{"code":2322,"messageText":"Type '{ SIMPLE: string; MEDIUM: string; COMPLEX: string; REASONING: string; }' is not assignable to type 'ComplexityTiers'."}}]}]},"relatedInformation":[{"file":"./src/components/add_model/complexityrouterconfig.tsx","start":14750,"length":5,"messageText":"The expected type comes from property 'tiers' which is declared here on type 'ComplexityRouterConfigValue'","category":3,"code":6500}]},{"start":833,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":884,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":974,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1098,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1205,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1331,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1389,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1460,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1504,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1629,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1724,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1894,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1939,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2113,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2415,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2460,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2655,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3021,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3066,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3520,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3558,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3625,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3894,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3932,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4009,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4133,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4196,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4276,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4450,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4545,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4747,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4845,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4883,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3952,[{"start":3331,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3861,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6669,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6708,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":7325,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7445,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7610,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7698,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8039,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8214,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8985,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9032,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9086,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9795,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10087,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10549,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10665,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10755,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11066,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11155,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11246,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11379,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11459,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11673,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11742,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12087,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12683,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12742,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12857,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13419,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13477,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13544,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14178,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14378,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14463,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14526,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14595,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15088,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15941,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16107,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16200,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16267,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16761,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16949,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17033,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17130,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17917,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18019,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18109,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18796,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18888,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18978,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19715,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19774,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19977,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20478,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20571,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20824,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21560,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21627,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22064,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22476,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23025,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23191,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23250,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23423,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24161,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24325,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24400,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24480,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25331,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25390,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25561,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25604,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26053,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26199,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26278,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26362,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27089,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27235,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27306,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27382,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28080,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28284,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28430,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28501,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28776,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29473,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29532,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29697,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30557,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30813,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31424,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31483,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31649,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32097,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32345,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32503,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32929,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33166,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33225,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34074,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34234,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34696,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34755,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34948,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35735,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35794,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36109,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36352,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36530,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36567,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36938,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37026,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38304,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38451,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38553,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38611,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38758,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38875,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38946,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39752,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40011,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40103,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40209,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40250,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40712,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40772,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41120,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41217,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41438,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41629,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41689,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41789,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42193,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42531,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42657,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42743,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43048,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43370,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43778,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43995,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44093,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44412,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44587,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44944,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45477,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45538,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46240,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46701,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47376,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47544,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47645,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48321,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48628,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49308,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":49459,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49852,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50175,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50365,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50436,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50771,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51113,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51281,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51326,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51373,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51448,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51491,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":51592,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52050,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52111,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52276,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52956,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53017,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53194,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":53991,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":54371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":54461,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":54564,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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'TopKeyViewProps'."}}]]],"affectedFilesPendingEmit":[4156,2683,2685,2687,2689,2691,2693,2676,2867,2858,1314,1313,1312,2864,2857,2855,2866,2856,2865,2861,2860,2859,1245,2862,2895,2893,2894,2812,2911,2912,2901,2913,2899,1315,2914,2903,1317,1316,2898,2915,2916,2904,1320,1319,2917,2902,2896,2909,2907,2910,2906,2905,2897,2900,2908,2918,2851,2919,2924,2921,2920,2923,2932,2925,2933,2929,1322,1321,2931,2927,2926,1323,2934,2928,2930,2949,2946,2950,2936,2939,2938,1324,1326,1325,2952,2953,2940,2951,2937,1327,2942,2941,2954,2943,1329,1328,2955,2956,2944,1087,2948,2945,2935,2947,2719,1331,1330,3051,2831,3052,3047,1334,1333,3053,3054,3049,1336,1335,3055,3048,3056,2959,3057,2829,2828,3058,2830,3059,2958,1344,1343,3060,3061,1342,1346,1345,3050,3063,1358,3064,3065,1356,3066,3067,1378,3068,1373,1379,3071,1367,3072,1365,3073,1364,1403,1363,1359,1404,1366,3069,1355,1380,1374,3070,1357,1349,1400,1377,1401,1375,1402,1376,3062,3149,3136,3151,3150,3152,3142,3154,3145,3155,3144,3153,3140,3156,3143,3148,3147,3112,3113,3090,1409,3093,3124,3081,3079,3125,3082,3126,3094,3127,3095,3128,3129,3075,3130,3076,3078,3131,3074,3077,3132,1697,3133,3080,3134,1410,1411,3114,3102,3115,3100,1405,1408,1407,3116,3101,3117,3118,3096,3119,1406,3084,3120,3085,3121,3092,3083,3109,3104,3091,3106,3098,3107,3099,3108,3097,3086,3122,3087,3123,3088,3110,3111,3103,3135,3089,3105,1422,1423,1421,1424,1425,1427,1426,1428,1114,1429,1431,1430,1455,1457,1456,1459,1458,1461,1460,1463,1462,1466,1465,1467,1107,3158,1454,1468,1469,1470,1471,1473,1472,1474,1475,1476,1478,1477,1480,1479,1481,1129,1483,1482,1484,1220,1486,1485,1488,1489,1487,1490,1492,1491,1239,1493,1494,1495,1496,1498,1497,1500,1499,1502,1501,1503,1504,1506,1505,1507,1509,1508,1510,1189,1512,1511,1513,1218,1516,1515,1518,1517,1520,1519,1521,1514,1523,1522,1525,1524,1527,1526,1222,1529,1528,1530,1532,1534,1533,1536,1535,1538,1537,1540,1539,1542,1541,1543,1545,1544,1547,1546,1548,1217,1549,1108,1552,1551,1553,1550,1555,1554,1412,1413,1109,1414,1231,1232,1415,1229,1416,1233,1417,1418,1219,1223,1557,1556,1559,1558,1561,1560,3157,1420,2815,2813,2811,1244,1243,3172,3192,3197,3240,3241,3218,1563,1562,1566,1565,3203,1568,1569,1567,3242,3215,3206,1571,1570,3219,3238,3258,3220,3259,3208,3260,3229,3261,3207,3262,3223,3263,3264,3222,3265,3224,3266,3232,3267,3209,3268,3237,1573,1572,3257,1574,3245,3243,3214,3244,3228,3246,3211,3247,3221,3248,3193,3194,3250,3196,3249,3195,1576,1575,3251,3201,3198,3213,3252,3212,3253,3204,3210,1654,3199,3205,3233,1656,1655,3254,3234,3255,3202,3200,3256,3231,3269,1564,3239,3277,3270,3278,3271,3279,3273,3272,3280,3274,3276,3275,3298,3368,3367,1666,1665,3375,3325,3376,3324,1670,1669,3379,3332,3331,3330,1672,1671,3377,3363,3323,3378,3371,1663,1662,3374,3373,3380,3369,3381,3342,3326,3382,3333,3383,3362,3347,3366,3364,3358,3372,1664,1674,1673,1216,3388,3386,3387,3401,3399,3402,3398,3397,3393,3392,3400,2853,2852,3508,3530,3500,3531,3522,3532,3509,3533,3501,1676,3510,3502,3534,3503,3535,3517,3536,3521,3537,3511,3504,3538,3505,3539,3506,3540,3507,3541,3520,3515,3518,3514,3516,3519,1678,1677,3542,3527,3543,3525,3544,3523,3545,3526,3547,3546,3548,3524,1681,1680,3404,1686,1685,1688,3424,3549,3492,3550,3493,3551,3494,3552,3495,1679,3496,3497,3499,3529,3528,3573,3563,3574,3557,3575,3568,3571,3560,3559,1691,1690,3576,3566,3577,3558,3578,3561,3579,3569,3580,3555,3581,3556,3582,3565,3583,3564,3572,3554,3553,1693,1692,3584,3567,3562,3570,3595,3590,3596,3589,3597,3588,3587,3600,3601,3585,3602,3603,3586,3604,1973,1694,1975,1974,3598,3593,3599,3592,3591,3594,3633,3610,3634,3630,3629,3646,3619,3651,3624,3647,3620,3648,3623,3649,3621,1979,1980,3650,3618,3622,3638,3616,3626,3628,3639,3613,3640,3608,3641,3612,3642,3617,3643,3625,3644,3614,1976,1978,1977,3645,3627,3635,3609,3605,3632,3607,3606,3636,3611,3637,3615,3631,3653,3046,3652,3663,3664,3655,3661,3665,3654,1983,1982,3669,3670,3660,3666,3657,3656,3667,3658,3668,3659,1981,3662,3678,3671,3676,3674,3677,3673,3672,3675,3688,3682,3686,3683,3687,3679,3685,3681,3680,3684,3696,3703,3706,3705,3704,3709,3708,3707,3732,3716,3733,3717,3734,3718,3731,3719,3735,3723,1987,1989,1988,3736,3724,1992,1991,3722,3737,3721,1985,1984,3720,3729,3725,3730,3727,3738,3726,1993,1341,3728,3749,3740,3752,3742,1996,1995,1997,1994,3747,3750,3739,3751,3746,3754,3755,3745,3753,3744,3743,3748,3769,3770,3765,3771,3763,3762,3779,3767,1210,3772,1209,1208,3773,3764,3774,3766,3780,3781,3761,3775,3776,3759,3777,3758,3757,3778,3760,3768,3785,3784,3783,3782,3793,3795,3799,3787,3786,3801,3791,3790,3803,3805,3804,3807,3806,2703,3809,3810,3808,3811,3812,3813,3814,3816,3815,3820,3819,3821,3822,3818,3823,3817,3824,3844,3711,2085,1104,3952,3329,3340,3942,3341,3954,3334,1095,3955,3300,1667,2041,2040,3943,3328,2044,2043,2046,2045,2047,1136,2042,1130,3956,3304,1121,1119,3944,1112,2048,1111,1118,1120,2049,1093,2050,1134,3945,1132,1131,3957,3335,1122,1127,3327,3958,3337,2051,1116,3946,1117,1135,3959,3336,1100,3960,3338,2086,1096,3947,1113,3961,3339,1123,3948,2087,3949,1128,3950,1124,2052,1133,2053,1125,1098,3951,1126,1097,1099,3845,3353,3962,1698,1318,3867,3281,3873,3282,3874,3284,3875,3286,3868,3283,3869,3297,3870,3287,3293,3871,3291,3872,3290,3162,3963,3161,3825,1230,3846,3741,1936,3788,2062,3964,2061,3965,3797,3966,3798,2060,3792,3967,3800,3968,3796,3969,3789,3794,2054,3802,2063,2055,3970,3295,3512,1675,3971,3513,3972,1683,1684,2065,2064,3294,3292,640,3847,3712,3876,3168,3877,3878,3165,3879,3163,3164,3880,3167,2004,2003,3881,3882,3166,1464,1372,1699,2833,1700,1085,3973,2818,3974,2834,3995,3389,3996,3390,3997,3391,2066,3998,3288,3999,3289,3975,1701,3976,2819,3977,2718,3318,3978,3311,3979,1934,3980,1933,3981,1084,3983,3982,3984,1952,3985,3352,1935,3351,3986,1939,1953,3987,1940,3988,1950,2068,2067,3989,2835,3991,1350,3992,1951,3993,2826,3994,3308,3990,2827,2868,3826,1959,3827,2715,3828,2720,3883,3175,3884,3174,3173,3885,3178,3886,3177,3176,3829,2922,2089,2090,2088,4000,2091,2092,638,3848,3159,3887,2012,3888,2008,3889,2009,3890,2010,2014,2007,3891,2013,2015,2011,4001,2843,2093,3830,3312,3137,3141,3892,3138,2016,3139,2018,2017,3831,1368,3849,2292,1998,1197,4002,1960,1961,4005,1089,2096,2095,1215,4003,2094,1046,2098,2097,4004,1962,2100,2099,2102,2101,3850,3348,3851,1242,3832,2722,4006,3403,1687,4007,1090,2104,2103,4008,3498,3852,2836,2105,1966,2106,4009,1963,4010,1967,4011,3230,1088,1965,4012,3422,4013,1086,2108,2107,4014,3343,4015,3346,4016,3345,3344,4017,3301,4018,3361,4019,3360,3359,4020,3322,2109,3285,3365,3853,3307,3305,3893,2854,2020,2019,4021,3299,4022,1354,4023,3038,3160,3854,2717,3895,2706,3896,2709,3897,2707,2021,1234,2022,3898,2710,3899,2716,3894,2712,3900,2714,1999,1214,3833,2721,1047,2840,3855,1958,4026,4027,1972,2110,1970,4024,4025,2841,2112,2111,2113,1971,2116,2115,4029,3395,2118,2117,4030,3394,2114,4028,3396,2000,2002,2001,3856,3354,3901,3356,3355,3902,3357,3857,3714,4031,2839,2121,2120,4032,2838,2837,4033,2844,1689,3858,3370,3859,1352,3860,3296,2123,2122,2126,2125,2124,3861,3349,3862,3350,4039,2960,4034,1941,4035,1942,4036,1945,4037,1943,4038,1944,4042,3045,4040,3044,2128,2127,4041,3043,3042,3041,2129,1531,3834,2869,4043,3313,3863,3171,2023,3903,2886,2884,3904,2885,2024,3905,2887,3906,2889,3907,2888,3908,2870,3909,3226,3910,3225,2026,2025,3911,3227,2028,2027,3912,2890,2029,2030,3918,2873,3919,2872,3920,2874,3921,3922,2875,3913,2876,3914,2877,3915,2880,3916,2878,3917,2879,2032,2031,3923,2881,3924,2882,3925,2883,3926,3170,3169,2033,3927,1949,3928,1946,3929,3039,1947,3931,3040,3930,1948,3146,4059,2821,4044,1956,4045,2816,4060,3713,4068,2277,4069,2278,4070,2279,4071,2276,2130,4072,2280,2282,4073,2281,4046,1235,4047,1968,1176,4061,4062,1180,4063,1182,4064,1179,4065,1184,4066,1187,4067,1186,1185,1188,1175,2006,4048,1195,2842,4074,1954,3309,3303,4049,1200,4050,1201,4051,1091,1937,4052,2814,4053,2825,4054,1696,4055,2957,2871,2823,4056,1041,4057,1226,2822,4075,1190,1191,4076,1192,4077,1194,4078,1196,1204,4079,1198,4080,1199,4081,1202,4082,1203,4058,2705,1695,3932,1238,3836,1241,3835,2891,4083,3423,637,4084,3691,3690,3689,2846,4085,4086,3314,3310,4087,1938,4092,3316,2284,2283,4088,3317,4093,3315,2286,2285,4089,3321,4090,3319,2287,2119,4091,3320,2288,3838,3695,2035,2034,3933,3694,3693,3837,3692,2290,2289,4098,2847,4099,4100,2848,4094,2832,2291,2294,2293,2845,4095,2820,4096,4097,2824,3934,2713,3839,3698,3935,3697,3936,3701,2036,3937,3700,3938,3699,3840,3702,4101,1347,1955,4102,1236,4103,1115,4104,2704,2708,4105,1035,1092,4106,2275,1183,1101,1040,1110,1362,4107,1044,2817,1038,1036,1042,1237,1102,4108,1225,4109,1045,1043,1181,1177,1103,2702,1094,1178,1348,1037,4110,1048,4111,1361,3841,2892,3842,3864,3302,3940,3385,3939,3710,2037,1986,1332,2039,2038,3865,3715,3843,2810,1138,4112,1969,3866,3756,4125,3181,4113,3182,4114,3180,3179,2301,4115,2313,2295,4116,2312,2311,2299,4126,2298,2309,2308,4127,2310,4128,2307,4121,4122,3191,4123,3183,2296,4129,2302,4130,2332,2300,4131,2305,4132,2335,2342,4133,2336,4134,2319,4135,2340,4136,2341,4137,2337,2329,2330,4138,2339,4139,2338,4140,1211,4141,2331,2304,4142,2334,4143,2333,4144,2316,4145,2315,2306,2343,2320,4124,3184,3185,4117,3186,4118,3190,3189,4119,3188,2323,2328,2324,2325,2326,4146,2327,2321,2344,2322,4120,3187,2297,2314,3306,3384,2849,3941,2850,2700,2056,4147,2711,2701,1224,2350,2348,2347,2349,2346,2345,2351,4151,2354,1360,4148,3216,4149,1371,3217,4150,3235,3236,2352,2353,2355,1351,2357,1137,2358,1034,2362,2361,2364,2363,4152,2084,2365,2366,1340,2367,630,2368,1212,2369,1213,2370,2359,1353,1205,2360,631,614,2371,2372,1227,2373,634,2374,1193,1453,2375,1207,2376,2378,2377,2379,636,2639,2638,2641,2640,2642,1240,2643,1228,2644,2646,2645,2647,633,2648,1964,2649,1668,2650,2651,1682,2652,1221,2655,2654,2658,2657,2659,2656,2660,1105,2661,1106,2663,2662,632,2664,1419,2665,2005,2666,1083,2667,1206,4153,2684,2686,2688,2690,2692,2694,2672,2673,2675,2677,2356,2695,3953,2678,2682,2863,4154,613],"version":"5.9.3"}
\ No newline at end of file

From 6a950df5498e1d40ec086e6f0ef2bb35b85e9128 Mon Sep 17 00:00:00 2001
From: moe-berri <moe@berri.ai>
Date: Tue, 8 Sep 2026 12:37:34 -0700
Subject: [PATCH 104/223] fix(ui): put the non-reasoning switch above the tier
 rows

The switch adds a row at the top of the tier list, so sitting below Reasoning
put the control and the thing it changes at opposite ends of the card. It now
heads the list, with a separator between it and the first row.
---
 .../src/components/add_model/ComplexityRouterConfig.tsx   | 8 ++++----
 .../src/components/add_model/NonReasoningTierToggle.tsx   | 6 ++++--
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
index 540b68cf9f7..c89c130af86 100644
--- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
@@ -659,6 +659,10 @@ const ComplexityRouterConfig: React.FC<ComplexityRouterConfigProps> = ({
 
       <Card>
         <CardContent>
+          {!customTierSet && (
+            <NonReasoningTierToggle value={value} onChange={onChange} available={value.classifier_type === "llm"} />
+          )}
+
           {tierRows.map((row, index) => {
             const tierInfo = builtInTierInfo(row.id);
             const label = tierRowLabel(row, value.tier_labels);
@@ -739,10 +743,6 @@ const ComplexityRouterConfig: React.FC<ComplexityRouterConfigProps> = ({
             );
           })}
 
-          {!customTierSet && (
-            <NonReasoningTierToggle value={value} onChange={onChange} available={value.classifier_type === "llm"} />
-          )}
-
           <TierSetToolbar
             editing={editingTiers}
             isCustomSet={Boolean(customTierSet)}
diff --git a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
index 794c2e5ec70..c0d26874357 100644
--- a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
@@ -1,5 +1,6 @@
 import React from "react";
 
+import { Separator } from "@/components/ui/separator";
 import { Switch } from "@/components/ui/switch";
 
 import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
@@ -28,7 +29,7 @@ const NonReasoningTierToggle: React.FC<{
 
   return (
     <>
-      <div className="flex items-center gap-2 mt-4 mb-2">
+      <div className="flex items-center gap-2 mb-2">
         <Switch
           checked={value.enable_non_reasoning_tier === true}
           disabled={!available}
@@ -37,11 +38,12 @@ const NonReasoningTierToggle: React.FC<{
         />
         <strong className="font-semibold">Add a non-reasoning tier</strong>
       </div>
-      <span className="block text-xs mb-3 text-muted-foreground">
+      <span className="block text-xs text-muted-foreground">
         Adds NON_REASONING below Simple, for operational agent traffic that relays or reformats information rather than
         reasoning about it. Escalation still moves up out of it when a request needs more.
         {!available && " Requires the LLM classification method."}
       </span>
+      <Separator className="my-4" />
     </>
   );
 };

From cf0488316e23b3f9859691d77043e49eb97f6eb6 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:40:28 -0700
Subject: [PATCH 105/223] fix(spend-tracking): take each unresolved key's
 newest spend row and drop docstrings

---
 .../common_daily_activity.py                  |  4 +-
 .../spend_tracking/key_metadata_recovery.py   | 42 +++++++------------
 .../test_common_daily_activity.py             |  5 ---
 .../test_key_metadata_recovery.py             |  5 ---
 4 files changed, 16 insertions(+), 40 deletions(-)

diff --git a/litellm/proxy/management_endpoints/common_daily_activity.py b/litellm/proxy/management_endpoints/common_daily_activity.py
index c6c5aad5926..a8aef30107c 100644
--- a/litellm/proxy/management_endpoints/common_daily_activity.py
+++ b/litellm/proxy/management_endpoints/common_daily_activity.py
@@ -462,9 +462,7 @@ async def get_api_key_metadata(
 
     This ensures that key_alias and team_id are preserved in historical activity logs
     even after a key is deleted or regenerated. Also recovers aliases for api_key
-    values that were double-hashed by the v1.99 spend-log provenance gate, and, when
-    spend_logs_window is given, for keys never written to either token table (CLI
-    session tokens) from the spend-log rows those requests wrote in that window.
+    values that were double-hashed by the v1.99 spend-log provenance gate.
     """
     key_records: Sequence[PrismaVerificationToken] = await VerificationTokenRepository(prisma_client).table.find_many(
         where={"token": {"in": list(api_keys)}}
diff --git a/litellm/proxy/spend_tracking/key_metadata_recovery.py b/litellm/proxy/spend_tracking/key_metadata_recovery.py
index 81c1f4cf119..e207f226255 100644
--- a/litellm/proxy/spend_tracking/key_metadata_recovery.py
+++ b/litellm/proxy/spend_tracking/key_metadata_recovery.py
@@ -29,16 +29,21 @@ ORDER BY token, deleted_at DESC
 """
 
 _SPEND_LOG_ALIAS_SQL: Final = """
-SELECT DISTINCT ON (api_key)
-    api_key AS digest,
-    metadata->>'user_api_key_alias' AS key_alias,
-    COALESCE(NULLIF(team_id, ''), metadata->>'user_api_key_team_id') AS team_id,
-    COALESCE(NULLIF("user", ''), metadata->>'user_api_key_user_id') AS user_id
-FROM "LiteLLM_SpendLogs"
-WHERE api_key = ANY($1::text[])
-  AND "startTime" >= $2::timestamp
-  AND "startTime" < $3::timestamp
-ORDER BY api_key, (metadata->>'user_api_key_alias') IS NULL, "startTime" DESC
+SELECT newest.digest, newest.key_alias, newest.team_id, newest.user_id
+FROM unnest($1::text[]) AS missing(digest)
+CROSS JOIN LATERAL (
+    SELECT
+        api_key AS digest,
+        metadata->>'user_api_key_alias' AS key_alias,
+        COALESCE(NULLIF(team_id, ''), metadata->>'user_api_key_team_id') AS team_id,
+        COALESCE(NULLIF("user", ''), metadata->>'user_api_key_user_id') AS user_id
+    FROM "LiteLLM_SpendLogs"
+    WHERE api_key = missing.digest
+      AND "startTime" >= $2::timestamp
+      AND "startTime" < $3::timestamp
+    ORDER BY "startTime" DESC
+    LIMIT 1
+) AS newest
 """
 
 
@@ -152,14 +157,6 @@ async def recover_double_hashed_key_metadata(
     prisma_client: PrismaClient,
     missing_keys: AbstractSet[str],
 ) -> Mapping[str, KeyMetadataDict]:
-    """
-    Recover key_alias/team_id/user_id for DailyUserSpend.api_key values that
-    were double-hashed by the v1.99 spend-log provenance gate.
-
-    Those rows store hash(VerificationToken.token) instead of the token, so the
-    exact join misses. Postgres hashes the token column itself, one pass over
-    active keys and one over deleted keys, so no key row crosses the wire.
-    """
     sha_missing: Final = frozenset(key for key in missing_keys if is_valid_sha256_hash(key))
     if not sha_missing:
         return _EMPTY_KEY_METADATA
@@ -187,15 +184,6 @@ async def recover_key_metadata_from_spend_logs(
     missing_keys: AbstractSet[str],
     window: tuple[datetime, datetime],
 ) -> Mapping[str, KeyMetadataDict]:
-    """
-    Recover key_alias/team_id/user_id for hashed api_key values absent from both
-    verification-token tables, e.g. in-memory CLI session tokens that never get a
-    token row. Their owner is written to LiteLLM_SpendLogs metadata at request
-    time under the same hashed api_key, so it is the only surviving source. Only
-    sha256 digests are looked up, matching the reverse-hash recovery gate, since
-    every current api_key value in spend logs is a token hash. The [start, end)
-    bound keeps the lookup on the startTime index instead of scanning the table.
-    """
     sha_missing: Final = frozenset(key for key in missing_keys if is_valid_sha256_hash(key))
     if not sha_missing:
         return _EMPTY_KEY_METADATA
diff --git a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
index 4d3dc320d8f..4c8be415204 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
@@ -2109,11 +2109,6 @@ async def test_get_daily_activity_aggregated_with_entity_breakdown():
 
 @pytest.mark.asyncio
 async def test_get_api_key_metadata_resolves_session_key_via_spend_log_window():
-    """
-    A CLI session token has no verification-token row, so the active/deleted lookups
-    and reverse-hash all miss. Given a spend-log window, its alias and owner are
-    recovered from the spend-log metadata and its email is filled from the user table.
-    """
     from litellm.proxy.utils import hash_token
 
     session_digest = hash_token("cli-session-user-42")
diff --git a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
index 9e42f017106..05a90137e3b 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
@@ -233,11 +233,6 @@ async def test_fill_missing_api_key_aliases_skips_named_keys_that_have_no_email(
 
 @pytest.mark.asyncio
 async def test_recover_key_metadata_from_spend_logs_resolves_session_token_from_metadata():
-    """
-    CLI session tokens never get a verification-token row, so both the exact join and
-    the reverse-hash lookup miss them. Their owner survives only in the spend-log
-    metadata written at request time, keyed by the same hashed api_key.
-    """
     session_digest = hash_token("cli-session-repro-user-6852")
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()

From 61ab4307ecfac49aad12feffcba265a21a270e6e Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:47:31 -0700
Subject: [PATCH 106/223] test(cost_map): assert provenance without patching
 module state

---
 .../test_get_model_cost_map.py                |  5 +--
 .../test_routes_model_cost_map.py             | 37 ++++++-------------
 2 files changed, 13 insertions(+), 29 deletions(-)

diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index f72d175d579..0495440c51c 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -310,14 +310,13 @@ def test_openrouter_catalog_costs_match_live_headline_rates(cost_map: dict):
         assert entry["output_cost_per_token"] != stale_out, model
 
 
-def test_get_model_cost_map_stamps_loaded_at(monkeypatch):
+def test_get_model_cost_map_stamps_loaded_at():
     """The load time feeds each pod's reload-due decision; a load that does not stamp it
     would make manual reload requests race the proxy's startup"""
     from datetime import datetime, timezone
 
     from litellm.litellm_core_utils import get_model_cost_map as module
 
-    monkeypatch.setattr(module._cost_map_source_info, "loaded_at", None)
     client, _calls = _mock_client(
         [httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client
     )
@@ -560,7 +559,6 @@ async def test_refetch_stamps_loaded_at_on_remote_and_local_reloads(monkeypatch)
     from litellm.litellm_core_utils import get_model_cost_map as module
 
     client, _ = _mock_client([httpx.Response(200, content=_real_map_bytes())])
-    monkeypatch.setattr(module._cost_map_source_info, "loaded_at", None)
     before_remote = datetime.now(timezone.utc)
     await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client)
     remote_loaded_at = module.get_model_cost_map_loaded_at()
@@ -568,7 +566,6 @@ async def test_refetch_stamps_loaded_at_on_remote_and_local_reloads(monkeypatch)
     assert before_remote <= remote_loaded_at <= datetime.now(timezone.utc)
 
     monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
-    monkeypatch.setattr(module._cost_map_source_info, "loaded_at", None)
     before_local = datetime.now(timezone.utc)
     await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0))
     local_loaded_at = module.get_model_cost_map_loaded_at()
diff --git a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
index 36c364fb82b..40bd66ea91c 100644
--- a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
+++ b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py
@@ -15,16 +15,15 @@ from pathlib import Path
 from unittest.mock import AsyncMock, MagicMock
 
 
+from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map_provenance
+
 from .conftest import VOLATILE_KEYS, normalize
 
 # Some response bodies include a "timestamp" — extend the volatile set so
 # dict-equality assertions remain stable.
 _VOLATILE = VOLATILE_KEYS | frozenset({"timestamp"})
 
-_PROVENANCE = {
-    "source_revision": "0123456789abcdef0123456789abcdef01234567",
-    "etag": 'W/"cost-map-etag"',
-}
+_SERVED_ETAG = 'W/"cost-map-etag"'
 _ROOT_COST_MAP = Path(__file__).resolve().parents[4] / "model_prices_and_context_window.json"
 
 
@@ -49,13 +48,6 @@ def _attach_litellm_config(mock_prisma):
     return table
 
 
-def _pin_provenance(monkeypatch):
-    monkeypatch.setattr(
-        "litellm.litellm_core_utils.get_model_cost_map.get_model_cost_map_provenance",
-        lambda: dict(_PROVENANCE),
-    )
-
-
 # ---------------------------------------------------------------------------
 # POST /reload/model_cost_map
 # ---------------------------------------------------------------------------
@@ -69,7 +61,6 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma):
 
     table = _attach_litellm_config(mock_prisma)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
-    _pin_provenance(monkeypatch)
 
     fake_cost_map = {"gpt-4": {"input_cost": 0.03}, "gpt-3.5": {"input_cost": 0.002}}
     monkeypatch.setattr(
@@ -98,7 +89,7 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma):
         "status": "success",
         "models_count": 2,
         "timestamp": "<VOLATILE>",
-        **_PROVENANCE,
+        **get_model_cost_map_provenance(),
     }
     assert table.upsert.await_count == 1
     update_payload = table.upsert.await_args.kwargs["data"]["update"]
@@ -120,8 +111,8 @@ def test_reload_model_cost_map_surfaces_the_blob_id_of_the_bytes_served_on_every
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
     monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False)
     body = _ROOT_COST_MAP.read_bytes()
-    expected = {"source_revision": git_blob_id(body), "etag": _PROVENANCE["etag"]}
-    served = httpx.Response(200, headers={"ETag": _PROVENANCE["etag"]}, content=body)
+    expected = {"source_revision": git_blob_id(body), "etag": _SERVED_ETAG}
+    served = httpx.Response(200, headers={"ETag": _SERVED_ETAG}, content=body)
     monkeypatch.setattr(
         "litellm.litellm_core_utils.get_model_cost_map._default_reload_client",
         lambda: httpx.AsyncClient(transport=httpx.MockTransport(lambda request: served)),
@@ -339,7 +330,6 @@ def test_get_model_cost_map_reload_status_no_db_not_scheduled(
     from litellm.proxy._types import LitellmUserRoles
 
     monkeypatch.setattr(ps, "prisma_client", None)
-    _pin_provenance(monkeypatch)
     with auth_as(LitellmUserRoles.PROXY_ADMIN):
         response = client.get("/schedule/model_cost_map_reload/status")
     assert response.status_code == 200
@@ -348,7 +338,7 @@ def test_get_model_cost_map_reload_status_no_db_not_scheduled(
         "interval_hours": None,
         "last_run": None,
         "next_run": None,
-        **_PROVENANCE,
+        **get_model_cost_map_provenance(),
     }
 
 
@@ -366,7 +356,6 @@ def test_get_model_cost_map_reload_status_scheduled(
     config_row.last_run_at = None
     table.find_unique = AsyncMock(return_value=config_row)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
-    _pin_provenance(monkeypatch)
 
     with auth_as(LitellmUserRoles.PROXY_ADMIN):
         response = client.get("/schedule/model_cost_map_reload/status")
@@ -376,7 +365,7 @@ def test_get_model_cost_map_reload_status_scheduled(
         "interval_hours": 12,
         "last_run": None,
         "next_run": None,
-        **_PROVENANCE,
+        **get_model_cost_map_provenance(),
     }
 
 
@@ -396,7 +385,6 @@ def test_get_model_cost_map_reload_status_reports_persisted_last_run(
     config_row.last_run_at = datetime(2024, 1, 1, 6, 0, 0, tzinfo=timezone.utc)
     table.find_unique = AsyncMock(return_value=config_row)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
-    _pin_provenance(monkeypatch)
 
     with auth_as(LitellmUserRoles.PROXY_ADMIN):
         response = client.get("/schedule/model_cost_map_reload/status")
@@ -406,7 +394,7 @@ def test_get_model_cost_map_reload_status_reports_persisted_last_run(
         "interval_hours": 6,
         "last_run": "2024-01-01T06:00:00+00:00",
         "next_run": "2024-01-01T12:00:00+00:00",
-        **_PROVENANCE,
+        **get_model_cost_map_provenance(),
     }
 
 
@@ -426,7 +414,6 @@ def test_get_model_cost_map_reload_status_no_config_not_scheduled(
     config_row.last_run_at = None
     table.find_unique = AsyncMock(return_value=config_row)
     monkeypatch.setattr(ps, "prisma_client", mock_prisma)
-    _pin_provenance(monkeypatch)
 
     with auth_as(LitellmUserRoles.PROXY_ADMIN):
         response = client.get("/schedule/model_cost_map_reload/status")
@@ -436,7 +423,7 @@ def test_get_model_cost_map_reload_status_no_config_not_scheduled(
         "interval_hours": None,
         "last_run": None,
         "next_run": None,
-        **_PROVENANCE,
+        **get_model_cost_map_provenance(),
     }
 
 
@@ -464,7 +451,7 @@ def test_get_model_cost_map_source_happy(client, auth_as, monkeypatch):
         "is_env_forced": False,
         "fallback_reason": None,
         "loaded_at": "2026-09-07T01:02:03+00:00",
-        **_PROVENANCE,
+        **get_model_cost_map_provenance(),
     }
     monkeypatch.setattr(
         "litellm.litellm_core_utils.get_model_cost_map.get_model_cost_map_source_info",
@@ -481,7 +468,7 @@ def test_get_model_cost_map_source_happy(client, auth_as, monkeypatch):
         "is_env_forced": False,
         "fallback_reason": None,
         "loaded_at": "2026-09-07T01:02:03+00:00",
-        **_PROVENANCE,
+        **get_model_cost_map_provenance(),
         "model_count": 3,
     }
 

From 384eee26a5c144290d922879c619f18126deec01 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:53:01 -0700
Subject: [PATCH 107/223] fix(bedrock): reject s3 Marengo media without
 bucketOwner and skip items without an embedding

---
 .../twelvelabs_marengo_3_transformation.py    | 14 ++++---
 .../twelvelabs_marengo_transformation.py      |  6 +--
 .../test_bedrock_async_invoke_embedding.py    |  3 +-
 .../bedrock/embed/test_bedrock_embedding.py   | 10 +++++
 ...est_twelvelabs_marengo_3_transformation.py | 40 +++++++++++++++----
 5 files changed, 55 insertions(+), 18 deletions(-)

diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
index f4f9cb03dab..4aac6f22bae 100644
--- a/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
+++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py
@@ -91,19 +91,21 @@ class Marengo3Params(BaseModel):
         return self.model_dump(include=MARENGO_2_7_ONLY_FIELDS, exclude_none=True)
 
 
-def _s3_location(uri: str, bucket_owner: str | None) -> TwelveLabsS3Location:
+def _require_bucket_owner(bucket_owner: str | None) -> str:
     if bucket_owner is None:
-        unowned: Final[TwelveLabsS3Location] = {"uri": uri}
-        return unowned
-    owned: Final[TwelveLabsS3Location] = {"uri": uri, "bucketOwner": bucket_owner}
-    return owned
+        raise BedrockError(
+            status_code=400,
+            message="s3:// media requires the 'bucketOwner' parameter, the account id that owns the bucket",
+        )
+    return bucket_owner
 
 
 def _media_source(media: str, bucket_owner: str | None) -> TwelveLabsMediaSource:
     if not media.startswith(S3_URI_PREFIX):
         inline: Final[TwelveLabsMediaSource] = {"base64String": get_base64_str(media)}
         return inline
-    remote: Final[TwelveLabsMediaSource] = {"s3Location": _s3_location(media, bucket_owner)}
+    s3_location: Final[TwelveLabsS3Location] = {"uri": media, "bucketOwner": _require_bucket_owner(bucket_owner)}
+    remote: Final[TwelveLabsMediaSource] = {"s3Location": s3_location}
     return remote
 
 
diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
index 35163ecf848..65ca2be191f 100644
--- a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
+++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py
@@ -35,7 +35,7 @@ from litellm.types.utils import Embedding, EmbeddingResponse, PromptTokensDetail
 class MarengoEmbeddingItem(BaseModel):
     model_config = ConfigDict(extra="ignore", frozen=True)
 
-    embedding: tuple[float, ...]
+    embedding: tuple[float, ...] | None = None
 
 
 class MarengoInvokeResponse(BaseModel):
@@ -47,10 +47,10 @@ class MarengoInvokeResponse(BaseModel):
 
     def vectors(self) -> tuple[tuple[float, ...], ...]:
         if self.data:
-            return tuple(item.embedding for item in self.data)
+            return tuple(item.embedding for item in self.data if item.embedding is not None)
         if self.embedding is not None:
             return (self.embedding,)
-        return tuple(item.embedding for item in self.embeddings)
+        return tuple(item.embedding for item in self.embeddings if item.embedding is not None)
 
 
 class MarengoBilledMultiInput(BaseModel):
diff --git a/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py b/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py
index 00f5145269a..ddbd3a2e9ba 100644
--- a/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py
+++ b/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py
@@ -204,6 +204,7 @@ class TestBedrockAsyncInvokeEmbedding:
                 input_type="video",
                 embeddingOption=["visual", "audio"],
                 segmentation={"method": "fixed", "fixed": {"durationSec": 6}},
+                bucketOwner="123456789012",
                 output_s3_uri="s3://test-bucket/async-invoke-output/",
             )
 
@@ -214,7 +215,7 @@ class TestBedrockAsyncInvokeEmbedding:
             "modelInput": {
                 "inputType": "video",
                 "video": {
-                    "mediaSource": {"s3Location": {"uri": "s3://test-bucket/clip.mp4"}},
+                    "mediaSource": {"s3Location": {"uri": "s3://test-bucket/clip.mp4", "bucketOwner": "123456789012"}},
                     "segmentation": {"method": "fixed", "fixed": {"durationSec": 6}},
                     "embeddingOption": ["visual", "audio"],
                 },
diff --git a/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py b/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
index c29a87cd0cf..bcd1a29d0e8 100644
--- a/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
+++ b/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py
@@ -1220,6 +1220,16 @@ def test_marengo_usage_without_request_data_bills_nothing():
     assert response.usage.prompt_tokens_details is None
 
 
+def test_marengo_response_items_without_an_embedding_are_skipped():
+    response = TwelveLabsMarengoEmbeddingConfig()._transform_response(
+        response_list=[{"data": [{"embeddingOption": "visual-text", "startSec": 0.0}, {"embedding": [0.1, 0.2, 0.3]}]}],
+        model="us.twelvelabs.marengo-embed-3-0-v1:0",
+    )
+
+    assert [item["embedding"] for item in response.data] == [[0.1, 0.2, 0.3]]
+    assert response.data[0]["index"] == 0
+
+
 def test_marengo_3_text_image_without_media_source_is_a_bad_request():
     with pytest.raises(litellm.BadRequestError, match=r"text_image.*media_source"):
         litellm.embedding(
diff --git a/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
index d8d29cac35e..f149953b6f1 100644
--- a/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
+++ b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py
@@ -75,9 +75,22 @@ def test_image_request_from_s3_carries_bucket_owner():
     }
 
 
-def test_s3_media_without_bucket_owner_omits_the_key():
-    request = build_marengo_3_request("s3://media/duck.png", {"input_type": "image"})
-    assert request["image"]["mediaSource"] == {"s3Location": {"uri": "s3://media/duck.png"}}
+@pytest.mark.parametrize(
+    "input_media,params",
+    [
+        ("s3://media/duck.png", {"input_type": "image"}),
+        ("s3://media/clip.mp4", {"input_type": "video"}),
+        ("a duck", {"input_type": "text_image", "media_source": "s3://media/duck.png"}),
+        ("a duck", {"input_type": "multi_input", "media_sources": {"img1": "s3://media/duck.png"}}),
+    ],
+)
+def test_s3_media_without_bucket_owner_is_rejected_naming_it(input_media, params):
+    with pytest.raises(BedrockError) as excinfo:
+        build_marengo_3_request(input_media, params)
+    assert excinfo.value.status_code == 400
+    assert excinfo.value.message == (
+        "s3:// media requires the 'bucketOwner' parameter, the account id that owns the bucket"
+    )
 
 
 def test_text_image_request_pairs_text_with_media_source():
@@ -147,12 +160,13 @@ def test_timed_media_request_nests_every_option_under_the_media_key(input_type):
             "embeddingType": ["fused_embedding"],
             "embeddingScope": ["clip", "asset"],
             "inferenceId": "req-42",
+            "bucketOwner": "123456789012",
         },
     )
     assert wire(request) == {
         "inputType": input_type,
         input_type: {
-            "mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4"}},
+            "mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4", "bucketOwner": "123456789012"}},
             "startSec": 2.0,
             "endSec": 12.5,
             "segmentation": {"method": "dynamic", "dynamic": {"minDurationSec": 4}},
@@ -165,8 +179,10 @@ def test_timed_media_request_nests_every_option_under_the_media_key(input_type):
 
 
 def test_timed_media_request_without_options_carries_only_the_media_source():
-    request = build_marengo_3_request("s3://media/clip.mp4", {"input_type": "video"})
-    assert request["video"] == {"mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4"}}}
+    request = build_marengo_3_request("s3://media/clip.mp4", {"input_type": "video", "bucketOwner": "123456789012"})
+    assert request["video"] == {
+        "mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4", "bucketOwner": "123456789012"}}
+    }
 
 
 @pytest.mark.parametrize(
@@ -211,7 +227,12 @@ def test_marengo_3_video_and_audio_still_require_the_async_route(input_type):
 def test_marengo_3_async_invoke_wraps_the_nested_payload_with_the_base_model_id():
     request = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_BASE)._transform_request(
         input="s3://media/clip.mp4",
-        inference_params={"input_type": "video", "embeddingOption": ["visual"], "output_s3_uri": OUTPUT_S3_URI},
+        inference_params={
+            "input_type": "video",
+            "embeddingOption": ["visual"],
+            "bucketOwner": "123456789012",
+            "output_s3_uri": OUTPUT_S3_URI,
+        },
         async_invoke_route=True,
         model_id="async_invoke%2Ftwelvelabs.marengo-embed-3-0-v1%3A0",
         output_s3_uri=OUTPUT_S3_URI,
@@ -220,7 +241,10 @@ def test_marengo_3_async_invoke_wraps_the_nested_payload_with_the_base_model_id(
         "modelId": MARENGO_3_BASE,
         "modelInput": {
             "inputType": "video",
-            "video": {"mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4"}}, "embeddingOption": ["visual"]},
+            "video": {
+                "mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4", "bucketOwner": "123456789012"}},
+                "embeddingOption": ["visual"],
+            },
         },
         "outputDataConfig": {"s3OutputDataConfig": {"s3Uri": OUTPUT_S3_URI}},
     }

From fbd8fa8d3e0d5ce5081ff248865ff5ff0a22e50a Mon Sep 17 00:00:00 2001
From: moe-berri <moe@berri.ai>
Date: Tue, 8 Sep 2026 12:59:07 -0700
Subject: [PATCH 108/223] refactor: tighten the comments added for the
 non-reasoning tier

Review flagged the added comments as over-explaining. Cut the call-site comment
that restated the helper's own docstring, and shortened the rest to the fact the
code cannot state itself: why the constant excludes the tier, why the flag is
cleared on a classifier change, and why the edit modal reads both keys back.
---
 litellm/router_strategy/complexity_router/config.py      | 8 +++-----
 .../components/add_model/ClassificationMethodConfig.tsx  | 9 +++------
 .../src/components/add_model/NonReasoningTierToggle.tsx  | 3 +--
 .../edit_auto_router/edit_auto_router_modal.tsx          | 6 ++----
 4 files changed, 9 insertions(+), 17 deletions(-)

diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py
index d917c1b8041..1d03c56050a 100644
--- a/litellm/router_strategy/complexity_router/config.py
+++ b/litellm/router_strategy/complexity_router/config.py
@@ -56,11 +56,9 @@ DEFAULT_CLASSIFICATION_RUBRIC: Final[ClassificationRubric] = ClassificationRubri
 LLM_CLASSIFIER_TYPES: Final[frozenset[str]] = frozenset({"llm", "heuristic_first", "hybrid"})
 
 
-# The ladder as it has always shipped. NON_REASONING is absent because it is opt-in: an existing
-# router must not gain a rubric bullet, a wire label, or a rung it never configured, and the
-# heuristic_v2 artifact is trained on exactly these four classes. Read the active ladder off the
-# config (`tier_names`, `active_tier_severity_order`) rather than this constant wherever the
-# operator's `enable_non_reasoning_tier` can reach.
+# Excludes NON_REASONING so an existing router keeps the ladder, rubric and wire labels it already
+# has, and so heuristic_v2 keeps mapping onto the four classes its artifact is trained on. Anywhere
+# `enable_non_reasoning_tier` can reach, read the ladder off the config instead.
 TIER_SEVERITY_ORDER: Final[tuple[ComplexityTier, ...]] = (
     ComplexityTier.SIMPLE,
     ComplexityTier.MEDIUM,
diff --git a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
index 468dcf5b411..5ec9f72c2a1 100644
--- a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
@@ -237,9 +237,9 @@ const ClassifierTypeRadios: React.FC<{
 };
 
 /**
- * The NON_REASONING keys a classifier switch should carry forward, or clear. Leaving the flag set
- * under a classifier that cannot emit the tier produces a config the backend refuses on save, and
- * the switch is disabled there, so the operator would have no way to undo it.
+ * The NON_REASONING keys a classifier switch carries forward, or clears. Only the LLM classifier
+ * can emit the tier, and the switch is disabled elsewhere, so a flag left set under another
+ * classifier would be an unsaveable config the operator could not undo.
  */
 export const nonReasoningTierFields = (
   classifierType: ClassifierType,
@@ -303,9 +303,6 @@ const ClassificationMethodConfig: React.FC<ClassificationMethodConfigProps> = ({
           : undefined,
       hybrid_boundary_margin:
         classifierType === "hybrid" ? value.hybrid_boundary_margin ?? DEFAULT_HYBRID_BOUNDARY_MARGIN : undefined,
-      // Only the LLM classifier can produce NON_REASONING, and the backend rejects the flag
-      // beside any other type. Clearing it here (with the tier's own pool) is what keeps a
-      // switch away from LLM from stranding a config that can never be saved.
       ...nonReasoningTierFields(classifierType, value),
     };
     onChange(nextValue);
diff --git a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
index c0d26874357..622a460fb79 100644
--- a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
@@ -15,8 +15,7 @@ const NonReasoningTierToggle: React.FC<{
   onChange: (value: ComplexityRouterConfigValue) => void;
   available: boolean;
 }> = ({ value, onChange, available }) => {
-  // Turning it off drops the tier's key rather than leaving an empty pool, which the backend
-  // rejects; turning it back on restores whatever pool the form still held.
+  // Off drops the tier's key rather than leaving the empty pool the backend rejects.
   const handleToggle = (enabled: boolean): void => {
     const { NON_REASONING: existingPool, ...keptTiers } = value.tiers;
     const next: ComplexityRouterConfigValue = {
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
index 283fe978790..1ef713cea02 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
@@ -136,10 +136,8 @@ export const hydrateComplexityRouterConfig = (
   parsedConfig: StoredComplexityRouterConfig,
   complexityRouterDefaultModel: string | null | undefined,
 ): ComplexityRouterConfigValue => {
-  // `tiers` is rewritten wholesale on save, so a stored tier this misses is deleted from the
-  // router by any edit at all, including one made for an unrelated reason. NON_REASONING is
-  // therefore read back from the stored config rather than assumed absent, and the toggle follows
-  // what is actually stored so the round-trip cannot silently turn the tier off.
+  // `tiers` is rewritten wholesale on save, so a stored tier this misses is deleted by any edit,
+  // including one made for an unrelated reason. Hence reading both back rather than assuming four.
   const storedNonReasoning: string[] = normalizeTierModels(parsedConfig.tiers?.NON_REASONING);
   const enable_non_reasoning_tier: boolean =
     parsedConfig.enable_non_reasoning_tier === true || storedNonReasoning.length > 0;

From 91091fd93e7b7be6576be26e1ef1216391af667e Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 12:59:58 -0700
Subject: [PATCH 109/223] fix: withdraw policy header claims while a background
 response is pending and log ungoverned retrievals

---
 .../proxy/policy_engine/response_retrieval.py | 31 ++++--
 litellm/proxy/utils.py                        | 62 +++++++++++-
 .../policy_engine/test_response_retrieval.py  | 36 +++++--
 .../proxy_logging/test_guardrail_pipeline.py  | 97 +++++++++++++++++++
 4 files changed, 205 insertions(+), 21 deletions(-)

diff --git a/litellm/proxy/policy_engine/response_retrieval.py b/litellm/proxy/policy_engine/response_retrieval.py
index 0aa9579ca71..8fc75e40070 100644
--- a/litellm/proxy/policy_engine/response_retrieval.py
+++ b/litellm/proxy/policy_engine/response_retrieval.py
@@ -1,6 +1,7 @@
 from collections.abc import Mapping
+from dataclasses import dataclass
 from types import MappingProxyType
-from typing import TYPE_CHECKING, Final, TypeAlias
+from typing import TYPE_CHECKING, Final, Literal, TypeAlias
 
 from pydantic import TypeAdapter
 
@@ -29,14 +30,23 @@ PolicyPipelines: TypeAlias = tuple[tuple[str, GuardrailPipeline], ...]
 _POLICY_PIPELINES_ADAPTER: Final = TypeAdapter(PolicyPipelines)
 
 
-def _model_group_for_response_id(response_id: object, llm_router: "Router | None") -> str | None:
-    if llm_router is None or not isinstance(response_id, str):
-        return None
-    model_id: Final = ResponsesAPIRequestUtils.get_model_id_from_response_id(response_id)
+@dataclass(frozen=True, slots=True)
+class UngovernedRetrieval:
+    reason: Literal["no router", "response id names no deployment", "deployment no longer in the router"]
+
+
+def _model_group_for_response_id(response_id: object, llm_router: "Router | None") -> str | UngovernedRetrieval:
+    if llm_router is None:
+        return UngovernedRetrieval("no router")
+    model_id: Final = (
+        ResponsesAPIRequestUtils.get_model_id_from_response_id(response_id) if isinstance(response_id, str) else None
+    )
     if model_id is None:
-        return None
+        return UngovernedRetrieval("response id names no deployment")
     deployment: Final = llm_router.get_deployment(model_id)
-    return deployment.model_name if deployment is not None else None
+    if deployment is None:
+        return UngovernedRetrieval("deployment no longer in the router")
+    return deployment.model_name
 
 
 def _retrieval_context(
@@ -78,7 +88,12 @@ def attach_post_call_pipelines_to_retrieval(
     if not get_policy_registry().is_initialized():
         return
     model_group: Final = _model_group_for_response_id(data.get("response_id"), llm_router)
-    if model_group is None:
+    if isinstance(model_group, UngovernedRetrieval):
+        verbose_proxy_logger.warning(
+            "Policy engine: background response %s is retrieved without its post_call policy pipelines (%s)",
+            data.get("response_id"),
+            model_group.reason,
+        )
         return
     context: Final = _retrieval_context(data, user_api_key_dict, model_group)
     post_call_pipelines, policy_sources = _post_call_pipelines_for_context(context)
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 3d03d3858ee..1972d92b610 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -93,6 +93,7 @@ from litellm.integrations.SlackAlerting.slack_alerting import SlackAlerting
 from litellm.integrations.SlackAlerting.utils import _add_langfuse_trace_id_to_alert
 from litellm.litellm_core_utils.core_helpers import (
     coerce_token_limit,
+    get_or_create_metadata_bucket,
     independent_snapshot,
     is_expected_client_error,
 )
@@ -156,6 +157,8 @@ from litellm.proxy.hooks.sensitive_data_routing import (
 from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup, add_guardrails_from_auth_metadata
 from litellm.proxy.management_helpers.key_settings_audit import with_settings_updated_at
 from litellm.proxy.policy_engine.pipeline_executor import PipelineExecutor
+from litellm.proxy.policy_engine.policy_registry import get_policy_registry
+from litellm.proxy.policy_engine.policy_resolver import PolicyResolver
 from litellm.repositories.budget_repository import BudgetRepository
 from litellm.repositories.config_repository import ConfigRepository
 from litellm.repositories.table_repositories import (
@@ -533,16 +536,65 @@ def _is_pending_background_response(response: LLMResponseTypes) -> bool:
     return isinstance(response, ResponsesAPIResponse) and response.status in _PENDING_BACKGROUND_RESPONSE_STATUSES
 
 
-def _log_deferred_post_call_pipelines(data: Mapping[str, object], response: ResponsesAPIResponse) -> None:
-    policy_names: Final = tuple(policy_name for policy_name, _pipeline in _post_call_pipelines(data))
-    if not policy_names:
+def _guardrails_outside_pipeline(policy_name: str, pipeline: "GuardrailPipeline") -> frozenset[str]:
+    resolved: Final = PolicyResolver.resolve_policy_guardrails(
+        policy_name=policy_name, policies=get_policy_registry().get_all_policies()
+    )
+    return frozenset(resolved.guardrails) - frozenset(step.guardrail for step in pipeline.steps)
+
+
+def _without_names(
+    bucket: dict,  # mutable-ok: the applied_* header slots live in the request-state dict every hook writes in place
+    slot: str,
+    names: frozenset[str],
+) -> None:
+    claimed: Final = bucket.get(slot)
+    if not isinstance(claimed, list):
+        return
+    remaining: Final = [name for name in claimed if name not in names]
+    if remaining:
+        bucket[slot] = remaining
+    else:
+        bucket.pop(slot)
+
+
+def _withdraw_deferred_claims(
+    data: dict,  # mutable-ok: same request-payload shape as post_call_success_hook's data
+    deferred: Sequence[tuple[str, "GuardrailPipeline"]],
+) -> None:
+    outside_by_policy: Final = MappingProxyType(
+        {policy_name: _guardrails_outside_pipeline(policy_name, pipeline) for policy_name, pipeline in deferred}
+    )
+    running_elsewhere: Final = _pipeline_managed_guardrail_names(data, "pre_call").union(*outside_by_policy.values())
+    withdrawn_policies: Final = frozenset(name for name, outside in outside_by_policy.items() if not outside)
+    withdrawn_guardrails: Final = _pipeline_step_guardrail_names(deferred) - running_elsewhere
+    _, bucket = get_or_create_metadata_bucket(data)
+    _without_names(bucket, "applied_policies", withdrawn_policies)
+    _without_names(bucket, "applied_guardrails", withdrawn_guardrails)
+    sources: Final = bucket.get("policy_sources")
+    if not isinstance(sources, dict):
+        return
+    remaining_sources: Final = {name: reason for name, reason in sources.items() if name not in withdrawn_policies}
+    if remaining_sources:
+        bucket["policy_sources"] = remaining_sources
+    else:
+        bucket.pop("policy_sources")
+
+
+def _defer_post_call_pipelines(
+    data: dict,  # mutable-ok: same request-payload shape as post_call_success_hook's data
+    response: ResponsesAPIResponse,
+) -> None:
+    deferred: Final = _post_call_pipelines(data)
+    if not deferred:
         return
     verbose_proxy_logger.debug(
         "Post_call guardrail pipelines wait for background response %s (status=%s) to be retrieved complete: %s",
         response.id,
         response.status,
-        ", ".join(policy_names),
+        ", ".join(policy_name for policy_name, _pipeline in deferred),
     )
+    _withdraw_deferred_claims(data, deferred)
 
 
 def _pipeline_is_streamable(policy_name: str, pipeline: "GuardrailPipeline") -> bool:
@@ -2939,7 +2991,7 @@ class ProxyLogging:
         response: LLMResponseTypes,
     ) -> LLMResponseTypes | None:
         if _is_pending_background_response(response):
-            _log_deferred_post_call_pipelines(data, response)
+            _defer_post_call_pipelines(data, response)
             return None
         _, pipeline_response = await self._maybe_execute_pipelines(
             data=data,
diff --git a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
index f7f29d6b46e..8c00b18eb63 100644
--- a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
+++ b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
@@ -1,3 +1,5 @@
+import logging
+
 import pytest
 
 from litellm.proxy._types import UserAPIKeyAuth
@@ -128,30 +130,48 @@ def test_already_attached_policy_is_not_attached_twice(policy_engine):
     assert data["litellm_metadata"]["applied_policies"] == ["response-governance"]
 
 
+def _ungoverned_retrieval_warnings(caplog: pytest.LogCaptureFixture) -> list[str]:
+    return [
+        record.getMessage()
+        for record in caplog.records
+        if record.levelno == logging.WARNING and "retrieved without its post_call policy pipelines" in record.getMessage()
+    ]
+
+
 @pytest.mark.parametrize(
-    "response_id",
-    ["resp_plain_upstream_id", _encoded_response_id("deployment-missing-from-router"), None],
+    ("response_id", "reason"),
+    [
+        ("resp_plain_upstream_id", "response id names no deployment"),
+        (_encoded_response_id("deployment-missing-from-router"), "deployment no longer in the router"),
+        (None, "response id names no deployment"),
+    ],
 )
-def test_unresolvable_response_id_attaches_nothing(policy_engine, response_id):
+def test_unresolvable_response_id_attaches_nothing_and_warns(policy_engine, caplog, response_id, reason):
     data = {"response_id": response_id, "litellm_metadata": {}}
 
-    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
 
     assert data == {"response_id": response_id, "litellm_metadata": {}}
+    assert [message.endswith(f"({reason})") for message in _ungoverned_retrieval_warnings(caplog)] == [True]
 
 
-def test_without_a_router_attaches_nothing(policy_engine):
+def test_without_a_router_attaches_nothing_and_warns(policy_engine, caplog):
     data = _retrieval_data(GOVERNED_MODEL_ID)
 
-    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=None)
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=None)
 
     assert data == _retrieval_data(GOVERNED_MODEL_ID)
+    assert [message.endswith("(no router)") for message in _ungoverned_retrieval_warnings(caplog)] == [True]
 
 
-def test_without_policy_engine_attaches_nothing():
+def test_without_policy_engine_attaches_nothing_quietly(caplog):
     get_policy_registry().clear()
     data = _retrieval_data(GOVERNED_MODEL_ID)
 
-    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=None)
 
     assert data == _retrieval_data(GOVERNED_MODEL_ID)
+    assert _ungoverned_retrieval_warnings(caplog) == []
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 7d2c232ad97..8da07f39fd8 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1481,6 +1481,103 @@ async def test_post_call_success_hook_runs_pipeline_on_retrieved_background_resp
     assert seen["response"] is response
 
 
+def _output_passing_callbacks() -> list[CustomGuardrail]:
+    class OutputPassingGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            return response
+
+    return [OutputPassingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)]
+
+
+def _claimed_post_call_pipeline_data(*policy_names: str, extra_guardrails: dict[str, list[str]] | None = None):
+    from litellm.proxy.policy_engine.policy_registry import get_policy_registry
+
+    step = {"guardrail": "gr-post", "on_pass": "allow", "on_fail": "block"}
+    get_policy_registry().load_policies(
+        {
+            policy_name: {
+                "guardrails": {"add": ["gr-post", *(extra_guardrails or {}).get(policy_name, [])]},
+                "pipeline": {"mode": "post_call", "steps": [step]},
+            }
+            for policy_name in policy_names
+        }
+    )
+    pipeline = GuardrailPipeline(mode="post_call", steps=[PipelineStep(**step)])
+    return {
+        "model": "m",
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {
+            "_guardrail_pipelines": [(policy_name, pipeline) for policy_name in policy_names],
+            "_pipeline_managed_guardrails": {"gr-post"},
+            "applied_policies": list(policy_names),
+            "applied_guardrails": ["gr-post", *(g for gs in (extra_guardrails or {}).values() for g in gs)],
+            "policy_sources": {policy_name: "model:m" for policy_name in policy_names},
+        },
+    }
+
+
+@pytest.fixture
+def clear_policy_registry():
+    from litellm.proxy.policy_engine.policy_registry import get_policy_registry
+
+    yield
+    get_policy_registry().clear()
+
+
+@pytest.mark.asyncio
+async def test_pending_background_response_withdraws_the_deferred_policy_claims(
+    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry
+):
+    monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _claimed_post_call_pipeline_data("response-governance")
+
+    out = await proxy_logging.post_call_success_hook(
+        data=data, response=_background_response("queued"), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert out.status == "queued"
+    assert "applied_policies" not in data["metadata"]
+    assert "policy_sources" not in data["metadata"]
+    assert "applied_guardrails" not in data["metadata"]
+
+
+@pytest.mark.asyncio
+async def test_pending_background_response_keeps_the_claim_of_a_policy_that_runs_outside_its_pipeline(
+    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry
+):
+    monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _claimed_post_call_pipeline_data(
+        "input-and-output-governance", "response-governance", extra_guardrails={"input-and-output-governance": ["gr-pre"]}
+    )
+
+    await proxy_logging.post_call_success_hook(
+        data=data, response=_background_response("in_progress"), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert data["metadata"]["applied_policies"] == ["input-and-output-governance"]
+    assert data["metadata"]["applied_guardrails"] == ["gr-pre"]
+    assert data["metadata"]["policy_sources"] == {"input-and-output-governance": "model:m"}
+
+
+@pytest.mark.asyncio
+async def test_retrieved_background_response_keeps_the_policy_claim_once_its_pipeline_ran(
+    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry
+):
+    monkeypatch.setattr(litellm, "callbacks", _output_passing_callbacks())
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _claimed_post_call_pipeline_data("response-governance")
+
+    await proxy_logging.post_call_success_hook(
+        data=data, response=_background_response("completed", text="fine"), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert data["metadata"]["applied_policies"] == ["response-governance"]
+    assert data["metadata"]["policy_sources"] == {"response-governance": "model:m"}
+    assert data["metadata"]["applied_guardrails"] == ["gr-post"]
+
+
 @pytest.mark.asyncio
 async def test_pre_call_hook_stays_quiet_on_background_request_with_post_call_pipeline(
     proxy_logging, make_user_api_key_auth, monkeypatch, caplog

From d36e032241490a5a75063425a99da4ccdc85548a Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:00:14 -0700
Subject: [PATCH 110/223] fix(proxy): initialize string success/failure
 callbacks at startup after config load (#38226)

* fix(proxy): eagerly initialize string callbacks

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): materialize string callbacks after load_config so later litellm_settings keys are applied

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): drop casts when snapshotting string callbacks so LIT006 stays at base

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yucheng <yucheng@berri.ai>
---
 litellm/proxy/utils.py                        | 11 +++++
 tests/test_litellm/proxy/test_proxy_server.py | 41 +++++++++++++++++++
 2 files changed, 52 insertions(+)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index ddf31cb1d8a..75d7972c621 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -177,6 +177,9 @@ from litellm.types.mcp import (
 )
 from litellm.types.proxy.policy_engine.pipeline_types import PipelineExecutionResult
 from litellm.types.utils import LLMResponseTypes, LoggedLiteLLMParams
+from litellm.utils import (
+    _add_custom_logger_callback_to_specific_event,  # pyright: ignore[reportPrivateUsage]  # only string-to-logger helper
+)
 
 if TYPE_CHECKING:
     from mcp.types import CallToolResult
@@ -857,6 +860,14 @@ class ProxyLogging:
                 litellm.logging_callback_manager.add_litellm_async_success_callback(callback)
                 litellm.logging_callback_manager.add_litellm_async_failure_callback(callback)
 
+        # Runs after load_config applied every litellm_settings key: logger __init__s read e.g. s3_callback_params
+        success_callbacks: Final = tuple(cb for cb in litellm.success_callback if isinstance(cb, str))
+        failure_callbacks: Final = tuple(cb for cb in litellm.failure_callback if isinstance(cb, str))
+        for callback in success_callbacks:
+            _add_custom_logger_callback_to_specific_event(callback, "success")
+        for callback in failure_callbacks:
+            _add_custom_logger_callback_to_specific_event(callback, "failure")
+
     async def update_request_status(self, litellm_call_id: str, status: Literal["success", "fail"]):
         # only use this if slack alerting is being used
         if self.alerting is None:
diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py
index 937e4f15741..6a901c5e7de 100644
--- a/tests/test_litellm/proxy/test_proxy_server.py
+++ b/tests/test_litellm/proxy/test_proxy_server.py
@@ -3166,6 +3166,47 @@ async def test_custom_ui_sso_sign_in_handler_config_loading():
         os.unlink(config_file_path)
 
 
+@pytest.mark.asyncio
+async def test_startup_initializes_string_callbacks_after_all_litellm_settings_load(tmp_path, monkeypatch):
+    from litellm.integrations.s3_v2 import S3Logger
+    from litellm.litellm_core_utils import litellm_logging
+    from litellm.proxy.proxy_server import ProxyConfig
+    from litellm.proxy.utils import ProxyLogging
+
+    config_file = tmp_path / "config.yaml"
+    config_file.write_text(
+        "model_list: []\n"
+        "litellm_settings:\n"
+        "  success_callback:\n"
+        "    - s3_v2\n"
+        "  failure_callback:\n"
+        "    - s3_v2\n"
+        "  s3_callback_params:\n"
+        "    s3_bucket_name: ordering-regression-bucket\n"
+        "    s3_region_name: us-west-2\n"
+    )
+
+    monkeypatch.setattr(litellm, "success_callback", [])
+    monkeypatch.setattr(litellm, "_async_success_callback", [])
+    monkeypatch.setattr(litellm, "failure_callback", [])
+    monkeypatch.setattr(litellm, "_async_failure_callback", [])
+    monkeypatch.setattr(litellm, "callbacks", [])
+    monkeypatch.setattr(litellm, "s3_callback_params", None)
+    monkeypatch.setattr(litellm_logging, "_in_memory_loggers", [])
+
+    await ProxyConfig().load_config(router=MagicMock(), config_file_path=str(config_file))
+    ProxyLogging(user_api_key_cache=MagicMock())._init_litellm_callbacks(llm_router=None)
+
+    success_loggers = [cb for cb in litellm._async_success_callback if isinstance(cb, S3Logger)]
+    failure_loggers = [cb for cb in litellm._async_failure_callback if isinstance(cb, S3Logger)]
+    assert len(success_loggers) == 1
+    assert len(failure_loggers) == 1
+    assert success_loggers[0].s3_bucket_name == "ordering-regression-bucket"
+    assert success_loggers[0].s3_region_name == "us-west-2"
+    assert "s3_v2" not in litellm.success_callback
+    assert "s3_v2" not in litellm.failure_callback
+
+
 @pytest.mark.asyncio
 async def test_load_config_max_budget_env_var_coerced_to_float(tmp_path, monkeypatch):
     """

From 6a425a5cc59ce67f3860ac04f752cf61340e1028 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:08:26 -0700
Subject: [PATCH 111/223] fix(responses): record spend for native Responses API
 WebSocket sessions (#38856)

* fix(responses): record spend for native Responses API WebSocket sessions

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(responses): bill usage from response.incomplete WebSocket turns

A turn cut short by max_output_tokens ends in response.incomplete, which
OpenAI bills but the processor only read response.completed, so those
sessions still logged zero spend

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(responses): hoist websocket usage test imports to module scope

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(responses): price websocket sessions through the standard cost path

The realtime completion_cost branch skips cost_discount_config and cost_margin_config, so a native
Responses WebSocket session was priced differently from the same usage over HTTP /v1/responses.
Drop the explicit widening so the LiteLLMRealtimeStreamLoggingObject built by
normalize_logging_result flows through the generic usage path, and pin WS == HTTP cost under a
50% provider discount in the regression test

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: rerun proxy-infra after flaky test_check_migration process tree test

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: yucheng <yucheng@berri.ai>
---
 litellm/cost_calculator.py                    | 40 ++++++++
 litellm/litellm_core_utils/litellm_logging.py | 12 +++
 litellm/types/utils.py                        |  1 +
 .../test_litellm_logging.py                   | 92 ++++++++++++++++++-
 4 files changed, 144 insertions(+), 1 deletion(-)

diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 9a9d2ceda03..c9c7df4d75e 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -2414,6 +2414,46 @@ class RealtimeAPITokenUsageProcessor(BaseTokenUsageProcessor):
         )
 
 
+_RESPONSES_WS_BILLABLE_EVENT_TYPES: Final = frozenset({"response.completed", "response.incomplete"})
+
+
+class _ResponsesWsEventResponse(BaseModel):
+    usage: Mapping[str, object] | None = None
+
+
+class _ResponsesWsEvent(BaseModel):
+    type: str = ""
+    response: _ResponsesWsEventResponse | None = None
+
+
+class ResponsesWebSocketTokenUsageProcessor(BaseTokenUsageProcessor):
+    @staticmethod
+    def collect_usage_from_responses_ws_results(
+        results: Sequence[Mapping[str, object]],
+    ) -> tuple[Usage, ...]:
+        events: Final = tuple(_ResponsesWsEvent.model_validate(result) for result in results)
+        return tuple(
+            ResponseAPILoggingUtils._transform_response_api_usage_to_chat_usage(  # pyright: ignore[reportPrivateUsage]  # same shared transform the realtime processor uses
+                event.response.usage
+            )
+            for event in events
+            if event.type in _RESPONSES_WS_BILLABLE_EVENT_TYPES
+            and event.response is not None
+            and event.response.usage is not None
+        )
+
+    @staticmethod
+    def collect_and_combine_usage_from_responses_ws_results(
+        results: Sequence[Mapping[str, object]],
+    ) -> Usage:
+        collected_usage_objects: Final = ResponsesWebSocketTokenUsageProcessor.collect_usage_from_responses_ws_results(
+            results
+        )
+        return ResponsesWebSocketTokenUsageProcessor.combine_usage_objects(
+            list(collected_usage_objects)  # mutable-ok: combine_usage_objects requires a list parameter
+        )
+
+
 _TRANSCRIPTION_COMPLETED_EVENT_TYPE: Final = "conversation.item.input_audio_transcription.completed"
 
 
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index ca2cca5360f..e3c94866985 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -48,6 +48,7 @@ from litellm.constants import (
 )
 from litellm.cost_calculator import (
     RealtimeAPITokenUsageProcessor,
+    ResponsesWebSocketTokenUsageProcessor,
     _select_model_name_for_cost_calc,
 )
 from litellm.exceptions import (
@@ -2028,6 +2029,17 @@ class Logging(LiteLLMLoggingBaseClass):
                 results=result,
             )
 
+        elif self.call_type == CallTypes.aresponses_websocket.value and isinstance(result, list):  # pyright: ignore[reportUnknownMemberType]  # Logging.call_type is untyped
+            combined_ws_usage: Final = (
+                ResponsesWebSocketTokenUsageProcessor.collect_and_combine_usage_from_responses_ws_results(
+                    results=result  # pyright: ignore[reportUnknownArgumentType]  # raw event dicts from the WS stream
+                )
+            )
+            logging_result = LiteLLMRealtimeStreamLoggingObject(
+                usage=combined_ws_usage,
+                results=result,  # pyright: ignore[reportUnknownArgumentType]  # raw event dicts from the WS stream
+            )
+
         elif (
             self.call_type == CallTypes.llm_passthrough_route.value
             or self.call_type == CallTypes.allm_passthrough_route.value
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 9b5fb08a45f..40a6d77482f 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -580,6 +580,7 @@ CallTypesLiteral = Literal[
     "search",
     "asearch",
     "_arealtime",
+    "_aresponses_websocket",
     "create_batch",
     "acreate_batch",
     "create_file",
diff --git a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
index 0fdca755685..b6366bc803e 100644
--- a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
+++ b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
@@ -22,7 +22,13 @@ from litellm.litellm_core_utils.litellm_logging import (
     _get_status_fields,
     set_callbacks,
 )
-from litellm.types.utils import ModelResponse, TextCompletionResponse
+from litellm.types.llms.openai import ResponseAPIUsage, ResponsesAPIResponse
+from litellm.types.utils import (
+    CallTypes,
+    LiteLLMRealtimeStreamLoggingObject,
+    ModelResponse,
+    TextCompletionResponse,
+)
 
 
 @pytest.fixture
@@ -6393,6 +6399,90 @@ async def test_prompt_hook_injection_marker_recorded_for_every_surface(logging_o
     assert pre_choice["metadata"]["litellm_gateway_injected_cache"] == ""
 
 
+def _responses_ws_logging_obj() -> LitellmLogging:
+    return LitellmLogging(
+        model="gpt-4o",
+        messages=[],
+        stream=False,
+        call_type=CallTypes.aresponses_websocket.value,
+        start_time=time.time(),
+        litellm_call_id="responses-ws-usage-test",
+        function_id="responses-ws-usage-test",
+    )
+
+
+def test_normalize_logging_result_extracts_usage_for_responses_websocket(monkeypatch):
+    """LIT-6512: native /v1/responses WebSocket sessions logged $0 spend because the usage
+    carried by stored response.completed events was never extracted. The session must cost
+    exactly what the same usage costs over HTTP /v1/responses, discounts included."""
+    monkeypatch.setattr(litellm, "cost_discount_config", {"openai": 0.5})
+    logging_obj = _responses_ws_logging_obj()
+    events = [
+        {"type": "response.created", "response": {}},
+        {
+            "type": "response.completed",
+            "response": {"usage": {"input_tokens": 100, "output_tokens": 40, "total_tokens": 140}},
+        },
+        {
+            "type": "response.completed",
+            "response": {"usage": {"input_tokens": 60, "output_tokens": 10, "total_tokens": 70}},
+        },
+    ]
+
+    normalized = logging_obj.normalize_logging_result(result=events)
+
+    assert isinstance(normalized, LiteLLMRealtimeStreamLoggingObject)
+    assert normalized.usage.prompt_tokens == 160
+    assert normalized.usage.completion_tokens == 50
+
+    ws_cost = litellm.completion_cost(
+        completion_response=normalized,
+        model="gpt-4o",
+        call_type=CallTypes.aresponses_websocket.value,
+        custom_llm_provider="openai",
+    )
+    http_cost = litellm.completion_cost(
+        completion_response=ResponsesAPIResponse(
+            id="resp-6512",
+            created_at=1700000000,
+            output=[],
+            usage=ResponseAPIUsage(input_tokens=160, output_tokens=50, total_tokens=210),
+        ),
+        model="gpt-4o",
+        call_type=CallTypes.aresponses.value,
+        custom_llm_provider="openai",
+    )
+    assert ws_cost > 0
+    assert ws_cost == http_cost
+
+
+def test_normalize_logging_result_bills_incomplete_responses_websocket_turns():
+    """LIT-6512: a turn cut short by max_output_tokens ends in response.incomplete, which
+    OpenAI bills, so its usage counts toward the session like a completed turn."""
+    events = [
+        {
+            "type": "response.created",
+            "response": {"usage": {"input_tokens": 999, "output_tokens": 999, "total_tokens": 1998}},
+        },
+        {
+            "type": "response.incomplete",
+            "response": {"usage": {"input_tokens": 15, "output_tokens": 16, "total_tokens": 31}},
+        },
+        {
+            "type": "response.completed",
+            "response": {"usage": {"input_tokens": 40, "output_tokens": 4, "total_tokens": 44}},
+        },
+        {"type": "response.failed", "response": {"usage": None}},
+    ]
+
+    normalized = _responses_ws_logging_obj().normalize_logging_result(result=events)
+
+    assert isinstance(normalized, LiteLLMRealtimeStreamLoggingObject)
+    assert normalized.usage.prompt_tokens == 55
+    assert normalized.usage.completion_tokens == 20
+    assert normalized.usage.total_tokens == 75
+
+
 def test_get_standard_logging_object_payload_reads_overhead_from_logging_obj_for_dict_results(logging_obj):
     """LIT-5466: /v1/messages returns a plain dict with no _hidden_params, so the overhead
     recorded on the logging object must reach hidden_params.litellm_overhead_time_ms (SpendLogs)."""

From 550e733bf35ac862970cfebeed872e45f539bc7d Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:09:43 -0700
Subject: [PATCH 112/223] perf(spend-tracking): recover key identity in one
 bounded spend-log pass with a per-worker cache

The spend-log lookup for permanently unresolvable digests is back to a single DISTINCT ON scan over the requested window, keeping only rows that carry an alias, user, or team so a newer nameless row cannot hide an older named one. Results and misses are cached per worker for ten minutes keyed by digest and window, failed queries are not cached, and JWT rows keyed hashed-jwt-<sha256> now pass the digest gate. Tests cover the JWT gate, cache reuse and partial misses, window changes, error handling, the with-window guard, and the daily activity wiring
---
 litellm/constants.py                          |   2 +
 .../spend_tracking/key_metadata_recovery.py   | 105 +++++++++++++-----
 .../test_common_daily_activity.py             |  74 +++++++++++-
 .../test_key_metadata_recovery.py             |  99 ++++++++++++++++-
 4 files changed, 248 insertions(+), 32 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index 8ef9523a60a..c1896573eb5 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -1763,6 +1763,8 @@ LITELLM_SETTINGS_SAFE_DB_OVERRIDES: Final = [
 SPECIAL_LITELLM_AUTH_TOKEN: Final = ["ui-token"]
 DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL = int(os.getenv("DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL", 60))
 DEFAULT_ACCESS_GROUP_CACHE_TTL: Final = int(os.getenv("DEFAULT_ACCESS_GROUP_CACHE_TTL", 600))
+SPEND_LOG_KEY_METADATA_CACHE_TTL: Final = int(os.getenv("SPEND_LOG_KEY_METADATA_CACHE_TTL", "600"))
+SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS: Final = int(os.getenv("SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS", "10000"))
 # Short TTL for negative MCP access-group existence lookups. Keeps unauthenticated
 # callers from forcing a DB query per request for unknown names, while bounding
 # staleness so a transient DB error (which surfaces as an empty list) cannot
diff --git a/litellm/proxy/spend_tracking/key_metadata_recovery.py b/litellm/proxy/spend_tracking/key_metadata_recovery.py
index e207f226255..7212d8b6acb 100644
--- a/litellm/proxy/spend_tracking/key_metadata_recovery.py
+++ b/litellm/proxy/spend_tracking/key_metadata_recovery.py
@@ -8,6 +8,8 @@ from pydantic import BaseModel, TypeAdapter
 from typing_extensions import ReadOnly, TypedDict
 
 from litellm._logging import verbose_proxy_logger
+from litellm.caching.in_memory_cache import InMemoryCache
+from litellm.constants import SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS, SPEND_LOG_KEY_METADATA_CACHE_TTL
 from litellm.litellm_core_utils.litellm_logging import is_valid_sha256_hash
 from litellm.proxy.utils import PrismaClient
 from litellm.repositories.user_repository import UserRepository
@@ -29,23 +31,27 @@ ORDER BY token, deleted_at DESC
 """
 
 _SPEND_LOG_ALIAS_SQL: Final = """
-SELECT newest.digest, newest.key_alias, newest.team_id, newest.user_id
-FROM unnest($1::text[]) AS missing(digest)
-CROSS JOIN LATERAL (
-    SELECT
-        api_key AS digest,
-        metadata->>'user_api_key_alias' AS key_alias,
-        COALESCE(NULLIF(team_id, ''), metadata->>'user_api_key_team_id') AS team_id,
-        COALESCE(NULLIF("user", ''), metadata->>'user_api_key_user_id') AS user_id
-    FROM "LiteLLM_SpendLogs"
-    WHERE api_key = missing.digest
-      AND "startTime" >= $2::timestamp
-      AND "startTime" < $3::timestamp
-    ORDER BY "startTime" DESC
-    LIMIT 1
-) AS newest
+SELECT DISTINCT ON (api_key)
+    api_key AS digest,
+    metadata->>'user_api_key_alias' AS key_alias,
+    COALESCE(NULLIF(team_id, ''), metadata->>'user_api_key_team_id') AS team_id,
+    COALESCE(NULLIF("user", ''), metadata->>'user_api_key_user_id') AS user_id
+FROM "LiteLLM_SpendLogs"
+WHERE api_key = ANY($1::text[])
+  AND "startTime" >= $2::timestamp
+  AND "startTime" < $3::timestamp
+  AND COALESCE(
+        metadata->>'user_api_key_alias',
+        NULLIF("user", ''),
+        metadata->>'user_api_key_user_id',
+        NULLIF(team_id, ''),
+        metadata->>'user_api_key_team_id'
+      ) IS NOT NULL
+ORDER BY api_key, "startTime" DESC
 """
 
+_HASHED_JWT_PREFIX: Final = "hashed-jwt-"
+
 
 class KeyMetadataDict(TypedDict, total=False):
     key_alias: ReadOnly[str | None]
@@ -62,6 +68,11 @@ class _TokenDigestRow(BaseModel):
 
 
 _TOKEN_DIGEST_ROWS: Final = TypeAdapter(tuple[_TokenDigestRow, ...])
+_CACHED_KEY_METADATA: Final = TypeAdapter(KeyMetadataDict)
+_SPEND_LOG_METADATA_CACHE: Final = InMemoryCache(
+    max_size_in_memory=SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS,
+    default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL,
+)
 _EMPTY_KEY_METADATA: Final[Mapping[str, KeyMetadataDict]] = MappingProxyType({})
 _EMPTY_EMAILS: Final[Mapping[str, str]] = MappingProxyType({})
 
@@ -179,31 +190,73 @@ async def recover_double_hashed_key_metadata(
     return MappingProxyType({**from_active, **from_deleted})
 
 
-async def recover_key_metadata_from_spend_logs(
-    prisma_client: PrismaClient,
-    missing_keys: AbstractSet[str],
+def _is_spend_log_digest(key: str) -> bool:
+    return is_valid_sha256_hash(key.removeprefix(_HASHED_JWT_PREFIX))
+
+
+def _spend_log_cache_key(digest: str, window: tuple[datetime, datetime]) -> str:
+    start, end = window
+    return f"spend_log_key_metadata:{digest}:{start.isoformat()}:{end.isoformat()}"
+
+
+def _cached_spend_log_metadata(
+    cache: InMemoryCache,
+    digest: str,
     window: tuple[datetime, datetime],
-) -> Mapping[str, KeyMetadataDict]:
-    sha_missing: Final = frozenset(key for key in missing_keys if is_valid_sha256_hash(key))
-    if not sha_missing:
-        return _EMPTY_KEY_METADATA
+) -> KeyMetadataDict | None:
+    cached: Final[object] = cache.get_cache(_spend_log_cache_key(digest, window))
+    return None if cached is None else _CACHED_KEY_METADATA.validate_python(cached)
+
+
+async def _query_spend_log_metadata(
+    prisma_client: PrismaClient,
+    digests: AbstractSet[str],
+    window: tuple[datetime, datetime],
+) -> Mapping[str, KeyMetadataDict] | None:
     start, end = window
     rows: Final = await _db_or_empty(
-        lambda: prisma_client.db.query_raw(_SPEND_LOG_ALIAS_SQL, sorted(sha_missing), start, end),
+        lambda: prisma_client.db.query_raw(_SPEND_LOG_ALIAS_SQL, sorted(digests), start, end),
         "Failed spend-log alias recovery for %d missing keys: %s",
-        len(sha_missing),
+        len(digests),
     )
     if rows is None:
-        return _EMPTY_KEY_METADATA
+        return None
     return MappingProxyType(
         {
             row.digest: KeyMetadataDict(key_alias=row.key_alias, team_id=row.team_id, user_id=row.user_id)
             for row in _TOKEN_DIGEST_ROWS.validate_python(rows)
-            if row.digest in sha_missing and (row.key_alias or row.user_id or row.team_id)
+            if row.digest in digests and (row.key_alias or row.user_id or row.team_id)
         }
     )
 
 
+async def recover_key_metadata_from_spend_logs(
+    prisma_client: PrismaClient,
+    missing_keys: AbstractSet[str],
+    window: tuple[datetime, datetime],
+    cache: InMemoryCache = _SPEND_LOG_METADATA_CACHE,
+) -> Mapping[str, KeyMetadataDict]:
+    digests: Final = frozenset(key for key in missing_keys if _is_spend_log_digest(key))
+    if not digests:
+        return _EMPTY_KEY_METADATA
+    cached: Final = MappingProxyType(
+        {
+            digest: meta
+            for digest in digests
+            for meta in (_cached_spend_log_metadata(cache, digest, window),)
+            if meta is not None
+        }
+    )
+    uncached: Final = digests - frozenset(cached)
+    fresh: Final = await _query_spend_log_metadata(prisma_client, uncached, window) if uncached else _EMPTY_KEY_METADATA
+    if fresh is not None:
+        for digest in uncached:
+            cache.set_cache(_spend_log_cache_key(digest, window), fresh.get(digest, KeyMetadataDict()))
+    return MappingProxyType(
+        {digest: meta for digest, meta in (*cached.items(), *(fresh or _EMPTY_KEY_METADATA).items()) if meta}
+    )
+
+
 def _row_with_recovered_fields(
     row: Mapping[str, object],
     recovered: Mapping[str, KeyMetadataDict],
diff --git a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
index 4c8be415204..d214ab6b5ac 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
@@ -492,7 +492,7 @@ async def test_get_api_key_metadata_recovers_double_hashed_key_via_reverse_hash(
 
 @pytest.mark.asyncio
 async def test_get_api_key_metadata_permanent_miss_never_pages_tokens_or_reads_spend_logs():
-    """A dirty key no table can explain costs two digest lookups, never a token page walk or a SpendLogs scan."""
+    """Without a spend-log window a dirty key no table can explain costs two digest lookups and never a token page walk."""
     from litellm.proxy.utils import hash_token
 
     double_hashed = hash_token("b" * 64)
@@ -518,6 +518,78 @@ async def test_get_api_key_metadata_permanent_miss_never_pages_tokens_or_reads_s
     assert all("take" not in call.kwargs and "skip" not in call.kwargs for call in token_lookups)
 
 
+@pytest.mark.asyncio
+async def test_get_api_key_metadata_permanent_miss_with_a_window_reads_spend_logs_once_within_it():
+    from litellm.proxy.utils import hash_token
+
+    double_hashed = hash_token("permanent-miss-with-window-6852")
+    window = (datetime(2024, 1, 1), datetime(2024, 1, 4))
+    mock_prisma = MagicMock()
+    mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[])
+    mock_prisma.db.litellm_deletedverificationtoken.find_many = AsyncMock(return_value=[])
+    mock_prisma.db.litellm_usertable.find_many = AsyncMock(return_value=[])
+    mock_prisma.db.query_raw = AsyncMock(return_value=[])
+
+    result = await get_api_key_metadata(prisma_client=mock_prisma, api_keys={double_hashed}, spend_logs_window=window)
+
+    assert double_hashed not in result
+    assert mock_prisma.db.query_raw.await_count == 3
+    ((_, digests, start, end),) = [
+        call.args for call in mock_prisma.db.query_raw.call_args_list if "LiteLLM_SpendLogs" in call.args[0]
+    ]
+    assert digests == [double_hashed]
+    assert (start, end) == window
+
+
+@pytest.mark.asyncio
+async def test_get_daily_activity_recovers_a_session_key_alias_from_spend_logs_around_the_page_dates():
+    from litellm.proxy.utils import hash_token
+
+    session_digest = hash_token("cli-session-daily-activity-6852")
+    records = [_daily_user_spend_record(user_id="session-user", api_key=session_digest, spend=1.5)]
+    mock_prisma = MagicMock()
+    mock_prisma.db = MagicMock()
+    mock_table = MagicMock()
+    mock_table.count = AsyncMock(return_value=len(records))
+    mock_table.find_many = AsyncMock(return_value=records)
+    mock_prisma.db.litellm_dailyuserspend = mock_table
+    mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[])
+    mock_prisma.db.litellm_deletedverificationtoken.find_many = AsyncMock(return_value=[])
+    mock_prisma.db.litellm_usertable.find_many = AsyncMock(
+        return_value=[SimpleNamespace(user_id="session-user", user_email="session@example.com")]
+    )
+
+    async def query_raw(sql, *params):
+        if "LiteLLM_SpendLogs" in sql:
+            return [{"digest": session_digest, "key_alias": "cli-session-alias", "team_id": None, "user_id": "session-user"}]
+        return []
+
+    mock_prisma.db.query_raw = AsyncMock(side_effect=query_raw)
+
+    result = await get_daily_activity(
+        prisma_client=mock_prisma,
+        table_name="litellm_dailyuserspend",
+        entity_id_field="user_id",
+        entity_id=None,
+        entity_metadata_field=None,
+        start_date="2024-01-01",
+        end_date="2024-01-01",
+        model=None,
+        api_key=None,
+        page=1,
+        page_size=1000,
+    )
+
+    key_metadata = result.results[0].breakdown.api_keys[session_digest].metadata
+    assert key_metadata.key_alias == "cli-session-alias"
+    assert key_metadata.user_email == "session@example.com"
+    ((_, digests, start, end),) = [
+        call.args for call in mock_prisma.db.query_raw.call_args_list if "LiteLLM_SpendLogs" in call.args[0]
+    ]
+    assert digests == [session_digest]
+    assert (start, end) == (datetime(2023, 12, 31), datetime(2024, 1, 3))
+
+
 def test_key_metadata_includes_recovered_user_email():
     from litellm.proxy.management_endpoints.common_daily_activity import _key_metadata
 
diff --git a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
index 05a90137e3b..3d7362b9de0 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
@@ -6,6 +6,7 @@ from unittest.mock import AsyncMock, MagicMock
 import pytest
 from prisma.errors import PrismaError
 
+from litellm.caching.in_memory_cache import InMemoryCache
 from litellm.proxy.spend_tracking.key_metadata_recovery import (
     fill_missing_api_key_aliases,
     recover_double_hashed_key_metadata,
@@ -240,7 +241,7 @@ async def test_recover_key_metadata_from_spend_logs_resolves_session_token_from_
         [_digest_row(session_digest, "cli-session-repro-user-6852", None, "repro-user-6852")]
     )
 
-    result = await recover_key_metadata_from_spend_logs(mock_prisma, {session_digest}, window)
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {session_digest}, window, cache=InMemoryCache())
 
     assert result[session_digest]["key_alias"] == "cli-session-repro-user-6852"
     assert result[session_digest]["user_id"] == "repro-user-6852"
@@ -255,7 +256,7 @@ async def test_recover_key_metadata_from_spend_logs_skips_query_when_no_missing_
     mock_prisma = MagicMock()
     mock_prisma.db.query_raw = AsyncMock(return_value=[])
 
-    result = await recover_key_metadata_from_spend_logs(mock_prisma, set(), window)
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, set(), window, cache=InMemoryCache())
 
     assert result == {}
     mock_prisma.db.query_raw.assert_not_called()
@@ -267,7 +268,9 @@ async def test_recover_key_metadata_from_spend_logs_returns_empty_on_prisma_erro
     mock_prisma = MagicMock()
     mock_prisma.db.query_raw = AsyncMock(side_effect=PrismaError("db down"))
 
-    result = await recover_key_metadata_from_spend_logs(mock_prisma, {hash_token("cli-session-x")}, window)
+    result = await recover_key_metadata_from_spend_logs(
+        mock_prisma, {hash_token("cli-session-x")}, window, cache=InMemoryCache()
+    )
 
     assert result == {}
 
@@ -287,7 +290,7 @@ async def test_recover_key_metadata_from_spend_logs_ignores_foreign_and_all_null
         ]
     )
 
-    result = await recover_key_metadata_from_spend_logs(mock_prisma, {wanted, all_null}, window)
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {wanted, all_null}, window, cache=InMemoryCache())
 
     assert set(result) == {wanted}
     assert result[wanted]["key_alias"] == "kept-alias"
@@ -301,8 +304,94 @@ async def test_recover_key_metadata_from_spend_logs_skips_non_sha256_keys():
     mock_prisma.db.query_raw = AsyncMock(return_value=[])
 
     result = await recover_key_metadata_from_spend_logs(
-        mock_prisma, {"cli-session-raw-1798", "key-hash-short"}, window
+        mock_prisma, {"cli-session-raw-1798", "key-hash-short"}, window, cache=InMemoryCache()
     )
 
     assert result == {}
     mock_prisma.db.query_raw.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_accepts_hashed_jwt_digests():
+    jwt_digest = f"hashed-jwt-{hash_token('jwt-subject-1')}"
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(jwt_digest, None, "team-jwt", "jwt-user")])
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {jwt_digest}, window, cache=InMemoryCache())
+
+    assert result[jwt_digest]["team_id"] == "team-jwt"
+    assert result[jwt_digest]["user_id"] == "jwt-user"
+    ((_, digests, _, _),) = [call.args for call in mock_prisma.db.query_raw.call_args_list]
+    assert digests == [jwt_digest]
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_serves_repeat_lookups_from_the_cache():
+    found = hash_token("cli-session-found")
+    unknown = hash_token("cli-session-unknown")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    cache = InMemoryCache()
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(found, "found-alias", None, "owner-1")])
+
+    first = await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache)
+    second = await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache)
+
+    assert first == second
+    assert set(first) == {found}
+    assert first[found]["key_alias"] == "found-alias"
+    assert mock_prisma.db.query_raw.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_only_queries_digests_the_cache_has_not_seen():
+    cached_digest = hash_token("cli-session-cached")
+    new_digest = hash_token("cli-session-new")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    cache = InMemoryCache()
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(cached_digest, "cached-alias", None, None)])
+    await recover_key_metadata_from_spend_logs(mock_prisma, {cached_digest}, window, cache=cache)
+    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(new_digest, "new-alias", None, None)])
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {cached_digest, new_digest}, window, cache=cache)
+
+    assert result[cached_digest]["key_alias"] == "cached-alias"
+    assert result[new_digest]["key_alias"] == "new-alias"
+    ((_, digests, _, _),) = [call.args for call in mock_prisma.db.query_raw.call_args_list]
+    assert digests == [new_digest]
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_rescans_when_the_window_changes():
+    digest = hash_token("cli-session-windowed")
+    cache = InMemoryCache()
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs([])
+    await recover_key_metadata_from_spend_logs(
+        mock_prisma, {digest}, (datetime(2026, 9, 1), datetime(2026, 9, 4)), cache=cache
+    )
+    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(digest, "later-alias", None, None)])
+
+    result = await recover_key_metadata_from_spend_logs(
+        mock_prisma, {digest}, (datetime(2026, 9, 7), datetime(2026, 9, 10)), cache=cache
+    )
+
+    assert result[digest]["key_alias"] == "later-alias"
+    assert mock_prisma.db.query_raw.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_does_not_cache_a_failed_query():
+    digest = hash_token("cli-session-retry")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    cache = InMemoryCache()
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = AsyncMock(side_effect=PrismaError("db down"))
+    assert await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache) == {}
+    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(digest, "back-online", None, None)])
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache)
+
+    assert result[digest]["key_alias"] == "back-online"

From 720f2ca7751b36111fb3aed8c212869a3363de3e Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:11:24 -0700
Subject: [PATCH 113/223] fix(proxy): label a 408 invalid_request_error again
 and pin the in-route status on the files and realtime tails

---
 .../common_utils/openai_error_payload.py      |  1 -
 .../common_utils/test_openai_error_payload.py |  2 +-
 .../test_files_endpoint.py                    | 46 +++++++++++++++++++
 .../test_realtime_webrtc_endpoints.py         | 35 ++++++++++++++
 .../proxy/test_common_request_processing.py   | 13 ++++++
 5 files changed, 95 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/common_utils/openai_error_payload.py b/litellm/proxy/common_utils/openai_error_payload.py
index 2d589871fea..89f735ee8b6 100644
--- a/litellm/proxy/common_utils/openai_error_payload.py
+++ b/litellm/proxy/common_utils/openai_error_payload.py
@@ -12,7 +12,6 @@ _OPENAI_ERROR_TYPE_BY_STATUS: Final[Mapping[int, str]] = MappingProxyType(
     {
         status.HTTP_401_UNAUTHORIZED: "authentication_error",
         status.HTTP_403_FORBIDDEN: "permission_error",
-        status.HTTP_408_REQUEST_TIMEOUT: "timeout_error",
         status.HTTP_429_TOO_MANY_REQUESTS: "rate_limit_error",
     }
 )
diff --git a/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
index 3145be2d522..8b653ddfb71 100644
--- a/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
+++ b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py
@@ -18,7 +18,7 @@ from litellm.proxy.common_utils.openai_error_payload import (
         (401, "authentication_error"),
         (403, "permission_error"),
         (404, "invalid_request_error"),
-        (408, "timeout_error"),
+        (408, "invalid_request_error"),
         (422, "invalid_request_error"),
         (429, "rate_limit_error"),
         (499, "invalid_request_error"),
diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
index 132b53792b0..5f1e7e1fe0c 100644
--- a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
+++ b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py
@@ -4773,3 +4773,49 @@ def test_get_file_content_reports_a_missing_managed_file_as_a_404(
 
     assert response.status_code == 404, response.text
     assert response.json() == _missing_managed_file_error(file_id)
+
+
+def _setup_managed_file_stored_in_an_unknown_storage_backend(
+    mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router
+) -> None:
+    """Wire the content route to a managed file whose row names a storage backend the
+    factory does not know, which is the one in-route ProxyException on these routes."""
+    from types import SimpleNamespace
+
+    import litellm.proxy.proxy_server as ps
+    from litellm.llms.base_llm.files.transformation import BaseFileEndpoints
+    from litellm.proxy._types import LitellmUserRoles
+
+    proxy_logging_obj = setup_proxy_logging_object(monkeypatch, llm_router)
+    managed_files = mocker.MagicMock(spec=BaseFileEndpoints)
+    managed_files.prisma_client = mocker.MagicMock()
+    proxy_logging_obj.proxy_hook_mapping["managed_files"] = managed_files
+    repository = mocker.MagicMock()
+    repository.table.find_first = mocker.AsyncMock(
+        return_value=SimpleNamespace(storage_backend="ftp", storage_url="ftp://bucket/file")
+    )
+    monkeypatch.setattr(
+        "litellm.proxy.openai_files_endpoints.files_endpoints.ManagedFileRepository", lambda _prisma: repository
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", llm_router)
+
+    app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth(
+        api_key="test-key",
+        user_role=LitellmUserRoles.INTERNAL_USER,
+        user_id="test-user",
+    )
+
+
+def test_get_file_content_keeps_the_status_of_a_rejection_raised_inside_the_route(
+    mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router
+):
+    """A ProxyException raised inside the route carries its status as the string ``code``,
+    and the tail used to rebuild it as a 500 because it only read ``status_code``."""
+    _setup_managed_file_stored_in_an_unknown_storage_backend(mocker, monkeypatch, llm_router)
+
+    response = _call_managed_file_route("GET", f"/v1/files/{_unified_managed_file_id()}/content")
+
+    assert response.status_code == 400, response.text
+    error = response.json()["error"]
+    assert error["message"].startswith("Storage backend error")
+    assert (error["type"], error["param"], error["code"]) == ("invalid_request_error", "file_id", "400")
diff --git a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
index 8cc5994dc81..7436cf84fec 100644
--- a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
+++ b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
@@ -1241,3 +1241,38 @@ def test_realtime_calls_upstream_rejection_answers_an_openai_typed_error(
 
     assert response.status_code == 404
     assert (response.json()["error"]["type"], response.json()["error"]["param"]) == ("invalid_request_error", None)
+
+
+def test_transcription_sessions_rejection_answers_an_openai_typed_error(
+    proxy_app: FastAPI,
+    mock_add_litellm_data: Callable[..., Awaitable[object]],
+    mock_pre_call_hook: Callable[..., Awaitable[object]],
+    monkeypatch: pytest.MonkeyPatch,
+):
+    """A model the router cannot serve surfaces as a bare HTTPException, which this tail
+    used to relabel with the literal string "None" for both type and param."""
+
+    async def failing_route_request(*args: object, **kwargs: object) -> None:
+        raise HTTPException(
+            status_code=400,
+            detail={"error": "realtime: Invalid model name passed in model=no-such-transcribe"},
+        )
+
+    proxy_logging = MagicMock()
+    proxy_logging.pre_call_hook = AsyncMock(side_effect=mock_pre_call_hook)
+    proxy_logging.post_call_failure_hook = AsyncMock()
+    monkeypatch.setattr("litellm.proxy.proxy_server.route_request", failing_route_request)
+    monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", mock_add_litellm_data)
+    monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", proxy_logging)
+    proxy_app.dependency_overrides[user_api_key_auth] = lambda: UserAPIKeyAuth(user_id="test-user")
+    try:
+        response = TestClient(proxy_app, raise_server_exceptions=False).post(
+            "/v1/realtime/transcription_sessions",
+            headers={"Authorization": "Bearer sk-test-master-key"},
+            json={"input_audio_transcription": {"model": "no-such-transcribe"}},
+        )
+    finally:
+        proxy_app.dependency_overrides.pop(user_api_key_auth, None)
+
+    assert response.status_code == 400
+    assert (response.json()["error"]["type"], response.json()["error"]["param"]) == ("invalid_request_error", None)
diff --git a/tests/test_litellm/proxy/test_common_request_processing.py b/tests/test_litellm/proxy/test_common_request_processing.py
index bfae42f64f1..be666607823 100644
--- a/tests/test_litellm/proxy/test_common_request_processing.py
+++ b/tests/test_litellm/proxy/test_common_request_processing.py
@@ -2202,6 +2202,19 @@ class TestGuardrailBlockErrorPayloadNeverStringifiesNone:
         assert frame["error"]["param"] is None
         assert frame["error"]["code"] == "400"
 
+    def test_a_streaming_frame_keeps_the_status_a_proxy_exception_was_raised_with(self):
+        """ProxyException stores its status as the string ``code``, so a 429 raised before the
+        first chunk used to reach the SSE frame as a 500."""
+        from litellm.proxy._types import ProxyException
+        from litellm.proxy.common_request_processing import sse_error_payload
+
+        error_status, error_obj = sse_error_payload(
+            ProxyException(message="Rate limit reached", type="rate_limit_error", param=None, code=429)
+        )
+
+        assert error_status == 429
+        assert (error_obj["type"], error_obj["code"]) == ("rate_limit_error", "429")
+
     @pytest.mark.parametrize(
         "status_code, expected_type",
         [

From 8ce3fe4fcf5ba43278c4eb7ec09c58df513d36c5 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:13:36 -0700
Subject: [PATCH 114/223] style: give the header slot rebuilds and the in-place
 slot write their lint reasons

---
 litellm/proxy/utils.py | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 1972d92b610..e48bd3851fb 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -551,9 +551,11 @@ def _without_names(
     claimed: Final = bucket.get(slot)
     if not isinstance(claimed, list):
         return
-    remaining: Final = [name for name in claimed if name not in names]
+    remaining: Final = [  # mutable-ok: the slot stays a list, the shape every applied_* header writer appends to
+        name for name in claimed if name not in names
+    ]
     if remaining:
-        bucket[slot] = remaining
+        bucket[slot] = remaining  # rebind-ok: the slot lives in the shared request-state dict, rewritten in place
     else:
         bucket.pop(slot)
 
@@ -574,7 +576,9 @@ def _withdraw_deferred_claims(
     sources: Final = bucket.get("policy_sources")
     if not isinstance(sources, dict):
         return
-    remaining_sources: Final = {name: reason for name, reason in sources.items() if name not in withdrawn_policies}
+    remaining_sources: Final = {  # mutable-ok: policy_sources stays a dict, the shape its writer updates in place
+        name: reason for name, reason in sources.items() if name not in withdrawn_policies
+    }
     if remaining_sources:
         bucket["policy_sources"] = remaining_sources
     else:

From a5cfe625e395c4edb401cf0d2daec3ccb686ed82 Mon Sep 17 00:00:00 2001
From: moe-berri <moe@berri.ai>
Date: Tue, 8 Sep 2026 13:14:52 -0700
Subject: [PATCH 115/223] refactor: trim the comments this PR added

Cuts the explanatory comments and docstrings added here down to one line each, or
removes them where the code already says it. Restores the four pre-existing
docstrings this PR had reworded to their original text; the one remaining edit to
existing text is TierDefinition.description, whose hardcoded tier list would
otherwise misstate that a tier named NON_REASONING may also omit its description.
---
 .../complexity_router/complexity_router.py    |  7 +-
 .../complexity_router/config.py               | 20 +---
 .../router_strategy/test_complexity_router.py | 91 ++++++-------------
 .../add_model/ClassificationMethodConfig.tsx  |  7 +-
 .../add_model/ComplexityRouterConfig.tsx      | 15 +--
 .../add_model/NonReasoningTierToggle.tsx      |  6 --
 .../build_complexity_router_config.ts         |  3 +-
 .../src/components/add_model/tier_rows.ts     |  6 +-
 8 files changed, 41 insertions(+), 114 deletions(-)

diff --git a/litellm/router_strategy/complexity_router/complexity_router.py b/litellm/router_strategy/complexity_router/complexity_router.py
index c40405ecf0f..66c328c49ea 100644
--- a/litellm/router_strategy/complexity_router/complexity_router.py
+++ b/litellm/router_strategy/complexity_router/complexity_router.py
@@ -100,12 +100,7 @@ else:
 
 
 class TierClassification(BaseModel):
-    """Structured response schema for the LLM-based complexity classifier.
-
-    The four-tier ladder, which is what a router that did not opt into NON_REASONING sends. The
-    enum actually put on the wire is rebuilt per router from `classifier_wire_labels`, so a
-    five-tier or renamed ladder widens it there rather than here.
-    """
+    """Structured response schema for the LLM-based complexity classifier."""
 
     tier: Literal["SIMPLE", "MEDIUM", "COMPLEX", "REASONING"]
 
diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py
index 1d03c56050a..9cd4ce1d2fa 100644
--- a/litellm/router_strategy/complexity_router/config.py
+++ b/litellm/router_strategy/complexity_router/config.py
@@ -56,9 +56,6 @@ DEFAULT_CLASSIFICATION_RUBRIC: Final[ClassificationRubric] = ClassificationRubri
 LLM_CLASSIFIER_TYPES: Final[frozenset[str]] = frozenset({"llm", "heuristic_first", "hybrid"})
 
 
-# Excludes NON_REASONING so an existing router keeps the ladder, rubric and wire labels it already
-# has, and so heuristic_v2 keeps mapping onto the four classes its artifact is trained on. Anywhere
-# `enable_non_reasoning_tier` can reach, read the ladder off the config instead.
 TIER_SEVERITY_ORDER: Final[tuple[ComplexityTier, ...]] = (
     ComplexityTier.SIMPLE,
     ComplexityTier.MEDIUM,
@@ -73,7 +70,6 @@ NON_REASONING_TIER_SEVERITY_ORDER: Final[tuple[ComplexityTier, ...]] = (
 
 
 def tier_severity_order(non_reasoning_enabled: bool) -> tuple[ComplexityTier, ...]:
-    """The built-in ladder for one router, tier 0 included only when it opted in."""
     return NON_REASONING_TIER_SEVERITY_ORDER if non_reasoning_enabled else TIER_SEVERITY_ORDER
 
 
@@ -1524,8 +1520,7 @@ class ComplexityRouterConfig(BaseModel):
         return self.classifier_type in LLM_CLASSIFIER_TYPES
 
     def active_tier_severity_order(self) -> tuple[ComplexityTier, ...]:
-        """This router's built-in ladder, ascending. Meaningless for a custom tier set, whose
-        severity order is tier_definitions list order over names that are not enum members."""
+        """This router's built-in ladder, ascending; not meaningful for a custom tier set."""
         return tier_severity_order(self.enable_non_reasoning_tier)
 
     def tier_names(self) -> tuple[str, ...]:
@@ -1626,12 +1621,7 @@ class ComplexityRouterConfig(BaseModel):
 
     @model_validator(mode="after")
     def _validate_non_reasoning_tier(self) -> "ComplexityRouterConfig":
-        """Gate the opt-in fifth tier on the two things that make it reachable and routable.
-
-        The heuristic scorers cannot emit it (the v1 score ladder has no rung below simple_medium
-        and the v2 artifact is trained on four classes), so a router whose classifier can never
-        return the tier would pay for a rubric bullet and a configured pool that no request reaches.
-        """
+        """Require a classifier that can emit the opt-in tier and a model to route it to."""
         non_reasoning_key: Final = ComplexityTier.NON_REASONING.value
         if not self.enable_non_reasoning_tier:
             if not self.has_custom_tiers and non_reasoning_key in self.tiers:
@@ -1834,13 +1824,11 @@ class ComplexityRouterConfig(BaseModel):
         return self.tier_labels.get(tier, "").strip() or tier.value
 
     def labeled_tiers(self) -> tuple[tuple[ComplexityTier, str], ...]:
-        """Every active tier paired with its display name, in ascending severity order."""
+        """Every tier paired with its display name, in ascending severity order."""
         return tuple((tier, self.tier_label(tier)) for tier in self.active_tier_severity_order())
 
     def tier_for_label(self, label: str) -> ComplexityTier | None:
-        """Resolve a display name back to its active tier, case-insensitively, then canonical
-        names. A tier this router did not opt into resolves to None, so a classifier naming
-        NON_REASONING on a four-tier router is an unparseable reply rather than a fifth rung."""
+        """Resolve a display name back to its tier, case-insensitively, then canonical names."""
         folded: Final = label.strip().casefold()
         labeled: Final = self.labeled_tiers()
         return next(
diff --git a/tests/test_litellm/router_strategy/test_complexity_router.py b/tests/test_litellm/router_strategy/test_complexity_router.py
index ce9cd5d3b7d..2732694ab7e 100644
--- a/tests/test_litellm/router_strategy/test_complexity_router.py
+++ b/tests/test_litellm/router_strategy/test_complexity_router.py
@@ -1512,6 +1512,7 @@ class TestRouterComplexityDeploymentMethods:
     def test_the_shipped_rubric_and_default_prompt_stay_free(self) -> None:
         """Only an operator-written prompt is gated: picking a shipped rubric preset, or writing no
         prompt at all, leaves a router unmetered, so several of them register under a ceiling of one."""
+
         def rubric(model_name: str, model_id: str, preset: str | None) -> dict[str, object]:
             llm_config: dict[str, object] = {"model": "gpt-4o-mini"}
             if preset is not None:
@@ -1648,6 +1649,7 @@ class TestRouterComplexityDeploymentMethods:
     def test_renaming_built_in_tiers_is_not_a_custom_tier_set(self) -> None:
         """tier_labels renames the built-in ladder without defining one, so it stays ungated: two such
         routers register under a ceiling of one."""
+
         def labeled(model_name: str, model_id: str) -> dict[str, object]:
             row = self._router_row(model_name, model_id, "heuristic")
             row["litellm_params"]["complexity_router_config"]["tier_labels"] = {"SIMPLE": "Cheap", "MEDIUM": "Standard"}
@@ -2521,9 +2523,7 @@ class TestLLMClassifier:
         assert outcome.classifier_cost == pytest.approx(1.35e-05)
 
     @pytest.mark.asyncio
-    async def test_aclassify_timeout_does_not_inherit_router_retries_or_fallbacks(
-        self, llm_classifier_config
-    ):
+    async def test_aclassify_timeout_does_not_inherit_router_retries_or_fallbacks(self, llm_classifier_config):
         real_router = Router(
             model_list=[
                 {
@@ -2566,9 +2566,7 @@ class TestLLMClassifier:
         assert real_router.total_calls["openai/mock-backup-classifier"] == 0
 
     @pytest.mark.asyncio
-    async def test_aclassify_enforces_total_classifier_deadline(
-        self, mock_router_instance, llm_classifier_config
-    ):
+    async def test_aclassify_enforces_total_classifier_deadline(self, mock_router_instance, llm_classifier_config):
         cancelled = asyncio.Event()
 
         async def slow_classifier(**_kwargs: object) -> None:
@@ -12415,9 +12413,7 @@ class TestTierHealthFailover:
                     llm_provider="",
                 )
             filtered = (*cooling, *blocked, *excluded)
-            healthy = [
-                {"model_name": model, "model_info": {"id": i}} for i in ids_by_model[model] if i not in filtered
-            ]
+            healthy = [{"model_name": model, "model_info": {"id": i}} for i in ids_by_model[model] if i not in filtered]
             if not healthy:
                 raise RouterRateLimitError(
                     model=model, cooldown_time=60.0, enable_pre_call_checks=False, cooldown_list=[]
@@ -12846,9 +12842,7 @@ class TestTierHealthFailover:
         assert all(probed is not request_kwargs for probed in router.litellm_router_instance.probed_kwargs)
 
     @pytest.mark.asyncio
-    async def test_a_peer_whose_every_deployment_is_over_its_rpm_is_not_a_failover_target(
-        self, mock_router_instance
-    ):
+    async def test_a_peer_whose_every_deployment_is_over_its_rpm_is_not_a_failover_target(self, mock_router_instance):
         """RPM exhaustion is its own verdict from the owner (RouterRateLimitErrorBasic). A peer
         in that state would be rejected downstream, so it cannot be the substitute."""
         from litellm.types.router import RouterRateLimitErrorBasic
@@ -12881,9 +12875,7 @@ class TestTierHealthFailover:
         assert {r.model for r in results} == {"live-c"}
 
     @pytest.mark.asyncio
-    async def test_the_probe_forwards_input_so_window_checks_run_on_input_only_surfaces(
-        self, mock_router_instance
-    ):
+    async def test_the_probe_forwards_input_so_window_checks_run_on_input_only_surfaces(self, mock_router_instance):
         """The Responses API carries its prompt as `input`, never as messages. The owner only
         runs its context-window pre-call check when one of them is present, so dropping `input`
         would silently skip window filtering on that whole surface."""
@@ -12909,9 +12901,7 @@ class TestTierHealthFailover:
         ), "the eligibility probe must forward `input` to the owner"
 
     @pytest.mark.asyncio
-    async def test_a_group_the_router_has_no_deployment_for_is_not_a_failover_target(
-        self, mock_router_instance
-    ):
+    async def test_a_group_the_router_has_no_deployment_for_is_not_a_failover_target(self, mock_router_instance):
         """The owner answers an unconfigured group with BadRequestError. Reading that as live
         would both skip failover off it and let it be chosen as a substitute."""
         router = self._router(
@@ -13100,9 +13090,7 @@ class TestClassifierVision:
         routed as default_fallback on text the request never contained.
         """
         router = self._router(mock_router_instance, vision={"enabled": True})
-        response = await router.async_pre_routing_hook(
-            model="m", request_kwargs={}, messages=self._turn(IMG_PART)
-        )
+        response = await router.async_pre_routing_hook(model="m", request_kwargs={}, messages=self._turn(IMG_PART))
         assert response.routing_decision["cause"] == "llm_classifier"
         assert response.model == "t-complex"
         assert [block["type"] for block in self._classifier_user_content(mock_router_instance)] == [
@@ -13113,9 +13101,7 @@ class TestClassifierVision:
     @pytest.mark.asyncio
     async def test_image_only_turn_still_falls_back_when_vision_is_off(self, mock_router_instance):
         router = self._router(mock_router_instance, vision={"enabled": False})
-        response = await router.async_pre_routing_hook(
-            model="m", request_kwargs={}, messages=self._turn(IMG_PART)
-        )
+        response = await router.async_pre_routing_hook(model="m", request_kwargs={}, messages=self._turn(IMG_PART))
         assert response.routing_decision["cause"] == "default_fallback"
         mock_router_instance.acompletion.assert_not_awaited()
 
@@ -13185,9 +13171,7 @@ class TestClassifierVision:
         makes the image the only variable; a margin loose enough to leave the score undecided
         would pass whether or not the guard exists.
         """
-        router = self._router(
-            mock_router_instance, vision={"enabled": True}, classifier_type=classifier_type, **extra
-        )
+        router = self._router(mock_router_instance, vision={"enabled": True}, classifier_type=classifier_type, **extra)
         response = await router.async_pre_routing_hook(
             model="m", request_kwargs={}, messages=self._turn({"type": "text", "text": "what is this"}, IMG_PART)
         )
@@ -13201,9 +13185,7 @@ class TestClassifierVision:
         self, mock_router_instance, classifier_type, extra, short_circuit_cause
     ):
         """The negative class: same router, same text, no image, and the scorer still decides."""
-        router = self._router(
-            mock_router_instance, vision={"enabled": True}, classifier_type=classifier_type, **extra
-        )
+        router = self._router(mock_router_instance, vision={"enabled": True}, classifier_type=classifier_type, **extra)
         response = await router.async_pre_routing_hook(
             model="m", request_kwargs={}, messages=[{"role": "user", "content": "what is this"}]
         )
@@ -13225,13 +13207,7 @@ NON_REASONING_TIERS: Final = {
 
 
 class TestNonReasoningTier:
-    """The opt-in fifth built-in tier below SIMPLE.
-
-    Two properties carry the feature. A router that did not opt in must be byte-identical to one
-    built before the tier existed, because the tier set feeds the classifier rubric, the wire enum,
-    and the savings baseline, all of which move live routing decisions and spend. A router that did
-    opt in must be able to actually reach the tier and escalate off it.
-    """
+    """The opt-in fifth built-in tier below SIMPLE: inert unless enabled, reachable when it is."""
 
     @staticmethod
     def _router(mock_router_instance, **overrides) -> ComplexityRouter:
@@ -13249,8 +13225,7 @@ class TestNonReasoningTier:
         )
 
     def test_ladder_gains_a_rung_below_simple_only_when_enabled(self):
-        """Tier 0 sits at the bottom. Anywhere else and escalation, the savings baseline, and
-        heuristic_first's 'highest tier' check would all read a different ladder."""
+        """Tier 0 sits at the bottom; anywhere else and escalation and the baseline shift."""
         enabled: Final = ComplexityRouterConfig(
             tiers=dict(NON_REASONING_TIERS),
             enable_non_reasoning_tier=True,
@@ -13261,8 +13236,7 @@ class TestNonReasoningTier:
         assert ComplexityRouterConfig().tier_names() == ("SIMPLE", "MEDIUM", "COMPLEX", "REASONING")
 
     def test_default_router_is_unchanged_by_the_tier_existing(self):
-        """The regression that matters for every already-deployed router: the enum grew a member,
-        and nothing a four-tier router sends or resolves may change because of it."""
+        """The enum grew a member, and nothing a four-tier router sends or resolves may change."""
         default: Final = ComplexityRouterConfig()
         assert default.enable_non_reasoning_tier is False
         assert "NON_REASONING" not in DEFAULT_COMPLEXITY_CONFIG.tiers
@@ -13272,8 +13246,7 @@ class TestNonReasoningTier:
 
     @pytest.mark.parametrize("preset", tuple(ClassificationRubric))
     def test_rubric_gains_the_bullet_only_when_enabled(self, preset):
-        """Every preset renders one bullet per active tier, so an unset toggle must leave all four
-        shipped rubrics byte-identical while an enabled one must actually describe the new tier."""
+        """An unset toggle leaves every shipped rubric byte-identical; an enabled one adds a bullet."""
         enabled: Final = ComplexityRouterConfig(
             tiers=dict(NON_REASONING_TIERS),
             enable_non_reasoning_tier=True,
@@ -13286,18 +13259,18 @@ class TestNonReasoningTier:
         assert "- NON_REASONING" not in off
 
     def test_enabled_router_puts_the_tier_on_the_classifier_wire(self, mock_router_instance):
-        """The response schema's enum is what the classifier may return; without the new label the
-        tier would be unreachable no matter what the rubric says."""
+        """The schema enum bounds what the classifier may return, whatever the rubric says."""
         router: Final = self._router(mock_router_instance)
         enum: Final = router._classifier_response_format["json_schema"]["schema"]["properties"]["tier"]["enum"]
         assert enum == ["NON_REASONING", "SIMPLE", "MEDIUM", "COMPLEX", "REASONING"]
 
     @pytest.mark.asyncio
     async def test_classifier_verdict_routes_to_the_tier_model(self, mock_router_instance):
-        """End to end on the LLM path: the classifier names the tier and the request lands on that
-        tier's model with the decision recording it."""
+        """The classifier names the tier and the request lands on that tier's model."""
         mock_router_instance.acompletion = AsyncMock(return_value=_llm_response('{"tier": "NON_REASONING"}'))
-        router: Final = self._router(mock_router_instance, tiers={**NON_REASONING_TIERS, "NON_REASONING": "cheap-relay"})
+        router: Final = self._router(
+            mock_router_instance, tiers={**NON_REASONING_TIERS, "NON_REASONING": "cheap-relay"}
+        )
         response = await router.async_pre_routing_hook(
             model="test-non-reasoning-router",
             request_kwargs={},
@@ -13308,9 +13281,10 @@ class TestNonReasoningTier:
         assert response.routing_decision["cause"] == "llm_classifier"
 
     @pytest.mark.asyncio
-    async def test_a_four_tier_router_ignores_a_non_reasoning_verdict(self, llm_complexity_router, mock_router_instance):
-        """A classifier that names the tier at a router which never opted in must be an unparseable
-        reply that falls back, not a silent route to a tier the operator did not configure."""
+    async def test_a_four_tier_router_ignores_a_non_reasoning_verdict(
+        self, llm_complexity_router, mock_router_instance
+    ):
+        """Naming the tier at a router that never opted in falls back instead of routing there."""
         mock_router_instance.acompletion = AsyncMock(return_value=_llm_response('{"tier": "NON_REASONING"}'))
         outcome = await llm_complexity_router.aclassify("relay this")
         assert outcome.tier != ComplexityTier.NON_REASONING
@@ -13323,8 +13297,7 @@ class TestNonReasoningTier:
         assert router._escalate_tier(ComplexityTier.REASONING) == ComplexityTier.REASONING
 
     def test_escalation_skips_the_tier_when_unconfigured(self, mock_router_instance):
-        """SIMPLE must still escalate to MEDIUM rather than to the cheaper new rung, or escalation
-        would route below the model the caller would otherwise have received."""
+        """SIMPLE still escalates to MEDIUM, so escalation never routes below the caller's model."""
         router: Final = self._router(
             mock_router_instance,
             tiers={"NON_REASONING": "cheap-relay", "SIMPLE": "gpt-4o-mini", "MEDIUM": "gpt-4o"},
@@ -13332,8 +13305,7 @@ class TestNonReasoningTier:
         assert router._escalate_tier(ComplexityTier.SIMPLE) == ComplexityTier.MEDIUM
 
     def test_tier_zero_is_never_the_savings_baseline(self, mock_router_instance):
-        """Savings are measured against the hardest configured tier. If tier 0 could win that pick,
-        every enabled router's reported savings would invert."""
+        """Savings use the hardest configured tier; tier 0 winning would invert every figure."""
         assert self._router(mock_router_instance)._hardest_tier_models() == ("o1-preview",)
         cheap_only: Final = self._router(
             mock_router_instance, tiers={"NON_REASONING": "cheap-relay", "SIMPLE": "gpt-4o-mini"}
@@ -13356,8 +13328,7 @@ class TestNonReasoningTier:
         ids=["heuristic", "heuristic_v2", "no_model"],
     )
     def test_unreachable_or_unroutable_configs_are_rejected(self, overrides, expected):
-        """The toggle is refused wherever it could not do anything: the heuristic scorers cannot
-        emit the tier, and an unconfigured tier would fall through to the default model."""
+        """Refused where it could do nothing: no scorer emits the tier, no pool routes it."""
         config: Final = {
             "tiers": dict(NON_REASONING_TIERS),
             "enable_non_reasoning_tier": True,
@@ -13386,9 +13357,7 @@ class TestNonReasoningTier:
             )
 
     def test_heuristic_v2_predictions_never_reach_the_new_tier(self, mock_router_instance):
-        """The bundled artifact is trained on four classes, so its 1-based tier index must keep
-        mapping onto SIMPLE..REASONING. Reading the enabled ladder here would shift every
-        prediction down a rung and make REASONING unreachable."""
+        """The four-class artifact's 1-based index must keep mapping onto SIMPLE..REASONING."""
         router: Final = ComplexityRouter(
             model_name="v2-router",
             litellm_router_instance=mock_router_instance,
@@ -13399,8 +13368,6 @@ class TestNonReasoningTier:
         )
         outcome = router._classify_with_heuristic_v2("implement a distributed rate limiter under concurrency")
         assert outcome.tier in TIER_SEVERITY_ORDER
-        # One probability signal per trained class, named for the tier that class means. A ladder
-        # shifted by the new rung would relabel all four and lose REASONING off the end.
         assert tuple(signal.split(":")[1].split("=")[0] for signal in outcome.signals[1:]) == (
             "simple",
             "medium",
diff --git a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
index 5ec9f72c2a1..33bb7283a7e 100644
--- a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
@@ -236,11 +236,8 @@ const ClassifierTypeRadios: React.FC<{
   );
 };
 
-/**
- * The NON_REASONING keys a classifier switch carries forward, or clears. Only the LLM classifier
- * can emit the tier, and the switch is disabled elsewhere, so a flag left set under another
- * classifier would be an unsaveable config the operator could not undo.
- */
+/** The NON_REASONING keys a classifier switch carries forward, or clears for a classifier that
+ * cannot emit the tier. Leaving them set there is a config the backend refuses on save. */
 export const nonReasoningTierFields = (
   classifierType: ClassifierType,
   value: ComplexityRouterConfigValue,
diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
index c89c130af86..38c2f13b3f9 100644
--- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
@@ -78,10 +78,7 @@ export const DEFAULT_CLASSIFICATION_MODE: ClassificationMode = "every_request";
  */
 export type ClassificationFrequency = ClassificationMode | "session";
 
-/**
- * NON_REASONING is optional because it is the opt-in fifth tier: a router that never enabled it
- * stores no such key, and hydrating one in would send an empty pool the backend rejects.
- */
+/** NON_REASONING is optional: a router that never enabled it stores no such key. */
 export type ComplexityTiers = {
   SIMPLE: string[];
   MEDIUM: string[];
@@ -362,10 +359,7 @@ export type ComplexityTierLabels = Partial<Record<keyof ComplexityTiers, string>
 
 export interface ComplexityRouterConfigValue {
   tiers: ComplexityTiers;
-  /**
-   * Opt into the NON_REASONING tier below SIMPLE. Off means the router keeps the four-tier ladder
-   * it has always had, so an existing router's rubric and tier decisions cannot move under it.
-   */
+  /** Opt into the NON_REASONING tier below SIMPLE; off keeps the four-tier ladder. */
   enable_non_reasoning_tier?: boolean;
   custom_tier_set?: CustomTierSet;
   tier_labels?: ComplexityTierLabels;
@@ -510,7 +504,6 @@ export const TIER_DESCRIPTIONS: Record<
   },
 };
 
-/** Every built-in tier name, including the opt-in one, for label and membership checks. */
 export const TIER_KEYS = Object.keys(TIER_DESCRIPTIONS) as Array<keyof ComplexityTiers>;
 
 export const effectiveTierLabel = (tier: keyof ComplexityTiers, tierLabels: ComplexityTierLabels | undefined): string =>
@@ -523,9 +516,7 @@ export const DEFAULT_HYBRID_BOUNDARY_MARGIN = 0.03;
 
 /**
  * Tiers the heuristic_first threshold may name. The top tier is excluded because it would short
- * circuit every request and leave the classifier unreachable, which the backend rejects. So is
- * NON_REASONING, which the backend refuses alongside heuristic_first because the local scorer
- * cannot produce it.
+ * circuit every request and leave the classifier unreachable, which the backend rejects.
  */
 export const HEURISTIC_FIRST_MAX_TIER_KEYS = TIER_ORDER.slice(0, -1);
 
diff --git a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
index 622a460fb79..caadd79039d 100644
--- a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
@@ -5,17 +5,11 @@ import { Switch } from "@/components/ui/switch";
 
 import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
 
-/**
- * The opt-in fifth tier. Only offered on the LLM classification method, matching the backend: the
- * heuristic scorers cannot produce the tier, so enabling it there would buy a rubric bullet and a
- * model pool that no request ever reaches.
- */
 const NonReasoningTierToggle: React.FC<{
   value: ComplexityRouterConfigValue;
   onChange: (value: ComplexityRouterConfigValue) => void;
   available: boolean;
 }> = ({ value, onChange, available }) => {
-  // Off drops the tier's key rather than leaving the empty pool the backend rejects.
   const handleToggle = (enabled: boolean): void => {
     const { NON_REASONING: existingPool, ...keptTiers } = value.tiers;
     const next: ComplexityRouterConfigValue = {
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
index 2f36ec2f43d..b1edae6b78e 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
@@ -538,8 +538,7 @@ export const buildComplexityRouterConfig = ({
 
   const payload: ComplexityRouterConfigPayload = {
     tiers,
-    // Only written when on, and never beside a custom tier set: the backend rejects the two
-    // together, and an explicit false on a four-tier router would be a key it never carried.
+    // The backend rejects the flag beside a custom tier set.
     ...(!customTierSet && enableNonReasoningTier && { enable_non_reasoning_tier: true }),
     ...(serializedTierModelConfigs && { tier_model_configs: serializedTierModelConfigs }),
     ...(defaultModel?.trim() && { default_model: defaultModel }),
diff --git a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
index 289a5645b51..cd3082b9456 100644
--- a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
+++ b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
@@ -4,13 +4,9 @@ import type { TierModelParams, TierModelParamsByTier } from "./complexity_router
 
 export const TIER_ORDER: ComplexityTier[] = ["SIMPLE", "MEDIUM", "COMPLEX", "REASONING"];
 
-/** Every built-in tier name, so a stored NON_REASONING row is recognized as built-in either way. */
 export const ALL_BUILT_IN_TIERS: ComplexityTier[] = ["NON_REASONING", ...TIER_ORDER];
 
-/**
- * The ladder one router renders, ascending. NON_REASONING is tier 0 and appears only when enabled,
- * which is what keeps an existing four-tier router's form, payload, and rubric unchanged.
- */
+/** The ladder one router renders, ascending; NON_REASONING appears only when enabled. */
 export const tierOrderFor = (enableNonReasoningTier: boolean | undefined): ComplexityTier[] =>
   enableNonReasoningTier ? ALL_BUILT_IN_TIERS : TIER_ORDER;
 

From f4aef5a1db67d35f606d09f5e8bfe008181af015 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:19:35 -0700
Subject: [PATCH 116/223] fix(spend-tracking): make the spend-log metadata
 cache limits plain constants

The ten minute TTL and the 10000 item ceiling need no env override, and the documentation env-key check flags any os.getenv read that the docs do not list
---
 litellm/constants.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index c1896573eb5..9654c84c412 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -1763,8 +1763,8 @@ LITELLM_SETTINGS_SAFE_DB_OVERRIDES: Final = [
 SPECIAL_LITELLM_AUTH_TOKEN: Final = ["ui-token"]
 DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL = int(os.getenv("DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL", 60))
 DEFAULT_ACCESS_GROUP_CACHE_TTL: Final = int(os.getenv("DEFAULT_ACCESS_GROUP_CACHE_TTL", 600))
-SPEND_LOG_KEY_METADATA_CACHE_TTL: Final = int(os.getenv("SPEND_LOG_KEY_METADATA_CACHE_TTL", "600"))
-SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS: Final = int(os.getenv("SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS", "10000"))
+SPEND_LOG_KEY_METADATA_CACHE_TTL: Final = 600
+SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS: Final = 10000
 # Short TTL for negative MCP access-group existence lookups. Keeps unauthenticated
 # callers from forcing a DB query per request for unknown names, while bounding
 # staleness so a transient DB error (which surfaces as an empty list) cannot

From f59354d09b642bf50d888a82b5fac5b96d34169b Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:22:29 -0700
Subject: [PATCH 117/223] refactor(guardrails): patch Anthropic SSE rewrites by
 field

The ended-stream rewriters now describe the one field they change as a
frozen _SSEFieldRewrite and a single applier builds the patched event, so
the handler adds no mutable-collection constructions over staging's total
---
 .../chat/guardrail_translation/handler.py     | 42 +++++++++++++------
 1 file changed, 29 insertions(+), 13 deletions(-)

diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
index 2049866b444..cbbccac17f3 100644
--- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py
+++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
@@ -13,7 +13,7 @@ Pattern Overview:
 """
 
 import json
-from collections.abc import Callable, Mapping, Sequence
+from collections.abc import Mapping, Sequence
 from copy import deepcopy
 from dataclasses import dataclass
 from itertools import chain, repeat
@@ -161,7 +161,25 @@ class _ToolCallShape:
     arguments: str
 
 
-_SSEEventRewriter = Callable[[Mapping[str, object]], Mapping[str, object] | None]
+@dataclass(frozen=True, slots=True)
+class _SSEFieldRewrite:
+    """One field of one nested section of a buffered SSE event, rewritten."""
+
+    section: str
+    field: str
+    value: object
+
+
+class _SSEEventRewriter(Protocol):
+    def __call__(self, event: Mapping[str, object]) -> _SSEFieldRewrite | None: ...
+
+
+def _rewritten_event(event: Mapping[str, object], rewrite_event: _SSEEventRewriter) -> Mapping[str, object]:
+    rewrite: Final = rewrite_event(event)
+    section: Final = None if rewrite is None else event.get(rewrite.section)
+    if rewrite is None or not isinstance(section, Mapping):
+        return event
+    return {**event, rewrite.section: {**section, rewrite.field: rewrite.value}}  # mutable-ok: json.dumps needs a dict
 
 
 def _tool_call_shapes(tool_calls: Sequence[object]) -> tuple[_ToolCallShape, ...]:
@@ -1253,13 +1271,13 @@ class AnthropicMessagesHandler(BaseTranslation):
         message and content-block framing untouched."""
         replacements: Final = chain((rewritten_text,), repeat(""))
 
-        def rewrite_text_delta(event: Mapping[str, object]) -> Mapping[str, object] | None:
+        def rewrite_text_delta(event: Mapping[str, object]) -> _SSEFieldRewrite | None:
             delta: Final = event.get("delta")
             if event.get("type") != "content_block_delta" or not isinstance(delta, Mapping):
                 return None
             if delta.get("type") != "text_delta":
                 return None
-            return {**event, "delta": {**delta, "text": next(replacements)}}
+            return _SSEFieldRewrite("delta", "text", next(replacements))
 
         AnthropicMessagesHandler._rewrite_ended_stream_events(responses_so_far, rewrite_text_delta)
 
@@ -1306,22 +1324,21 @@ class AnthropicMessagesHandler(BaseTranslation):
             {index: chain((rewrite.arguments,), repeat("")) for index, rewrite in rewrites_by_block.items()}
         )
 
-        def rewrite_tool_use(event: Mapping[str, object]) -> Mapping[str, object] | None:
+        def rewrite_tool_use(event: Mapping[str, object]) -> _SSEFieldRewrite | None:
             index: Final = event.get("index")
             if not isinstance(index, int) or index not in rewrites_by_block:
                 return None
             match event.get("type"):
                 case "content_block_start":
-                    block: Final = event.get("content_block")
                     name: Final = rewrites_by_block[index].name
-                    if not isinstance(block, Mapping) or name is None:
+                    if name is None:
                         return None
-                    return {**event, "content_block": {**block, "name": name}}
+                    return _SSEFieldRewrite("content_block", "name", name)
                 case "content_block_delta":
                     delta: Final = event.get("delta")
                     if not isinstance(delta, Mapping) or delta.get("type") != "input_json_delta":
                         return None
-                    return {**event, "delta": {**delta, "partial_json": next(argument_replacements[index])}}
+                    return _SSEFieldRewrite("delta", "partial_json", next(argument_replacements[index]))
                 case _:
                     return None
 
@@ -1343,8 +1360,7 @@ class AnthropicMessagesHandler(BaseTranslation):
     @staticmethod
     def _rewrite_buffered_item(item: object, rewrite_event: _SSEEventRewriter) -> object:
         if isinstance(item, dict):
-            rewritten: Final = rewrite_event(_as_str_mapping(item))
-            return item if rewritten is None else dict(rewritten)
+            return _rewritten_event(_as_str_mapping(item), rewrite_event)
         if isinstance(item, (bytes, bytearray)):
             return AnthropicMessagesHandler._rewrite_sse_events(bytes(item), rewrite_event)
         return item
@@ -1374,8 +1390,8 @@ class AnthropicMessagesHandler(BaseTranslation):
             return line
         if not isinstance(data, dict):
             return line
-        rewritten: Final = rewrite_event(_as_str_mapping(data))
-        return line if rewritten is None else "data: " + json.dumps(rewritten)
+        rewritten: Final = _rewritten_event(_as_str_mapping(data), rewrite_event)
+        return line if rewritten is data else "data: " + json.dumps(rewritten)
 
     def get_streaming_scan_key(self, responses_so_far: Sequence[object]) -> StreamingScanKey | None:
         stream_ended: Final = self._check_streaming_has_ended(responses_so_far)

From 89e11949c834d0b466375b0442b27304946568a9 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:22:30 -0700
Subject: [PATCH 118/223] fix(guardrails): key Responses stream tool-call
 rewrites by call_id

Bridged Responses streams give reasoning and message items output_index 0
and start function calls at 1, so keying rewrites by output_index rewrote
the wrong items. Rewrites now follow each function call's call_id through
the buffered item and argument events, refuse when an event cannot be
resolved to a rewritten call, and the refusal branches on all three
handlers get regression tests
---
 .../guardrail_translation/handler.py          | 132 ++++++++++++------
 .../test_anthropic_guardrail_handler.py       |  25 ++++
 .../test_openai_guardrail_handler.py          |  56 ++++++++
 ...test_openai_responses_guardrail_handler.py |  90 ++++++++++++
 4 files changed, 259 insertions(+), 44 deletions(-)

diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py
index 208ceb959e6..280a8670c36 100644
--- a/litellm/llms/openai/responses/guardrail_translation/handler.py
+++ b/litellm/llms/openai/responses/guardrail_translation/handler.py
@@ -140,6 +140,10 @@ _TERMINAL_ENVELOPE_EVENT_TYPES: Final = frozenset(
 )
 
 
+_FUNCTION_CALL_ARGUMENT_EVENT_TYPES: Final = frozenset(
+    {"response.function_call_arguments.delta", "response.function_call_arguments.done"}
+)
+_OUTPUT_ITEM_EVENT_TYPES: Final = frozenset({"response.output_item.added", "response.output_item.done"})
 _PATCHABLE_ITEM_FIELDS: Final[Mapping[str, str]] = MappingProxyType(
     {"function_call_output": "output", "message": "content"}
 )
@@ -930,70 +934,110 @@ class OpenAIResponsesHandler(BaseTranslation):
     ) -> None:
         """Write ended-stream guardrail tool-call rewrites into the completed
         envelope's ``function_call`` items and sync the earlier stream events,
-        keyed by ``output_index``. The guardrail sees the envelope's function
-        calls in output order, which is how a rewritten call finds its item; a
-        rewrite whose calls do not line up with the envelope is reported as
-        undeliverable, so the pipeline executor discards it and releases the
-        original events."""
+        keyed by ``call_id``. The guardrail sees the envelope's function calls
+        in output order, which is how a rewritten call finds its ``call_id``;
+        the stream events find their call through the ``call_id`` on
+        ``output_item`` events and the ``item_id`` on argument events, since an
+        event's ``output_index`` need not match the envelope's (the chat bridge
+        numbers tool calls from 1 while the envelope lists them after the
+        message). A rewrite whose calls do not line up with the envelope, or
+        whose events cannot be found, is reported as undeliverable, so the
+        pipeline executor discards it and releases the original events."""
         if post_guardrail_tool_calls == pre_guardrail_tool_calls:
             return
-        function_call_indices: Final = tuple(
-            output_idx
-            for output_idx, output_item in enumerate(outputs)
-            if stream_item_field(output_item, "type") == "function_call"
+        function_call_items: Final = tuple(
+            output_item for output_item in outputs if stream_item_field(output_item, "type") == "function_call"
         )
-        if len(function_call_indices) != len(post_guardrail_tool_calls):
-            from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
-
-            raise UndeliverableStreamRewrite(guardrail_name)
-        rewrites_by_output_index: Final = MappingProxyType(
+        call_ids: Final = tuple(
+            call_id
+            for output_item in function_call_items
+            if isinstance(call_id := stream_item_field(output_item, "call_id"), str) and call_id
+        )
+        stream_events: Final = responses_so_far[:-1]
+        call_id_by_item_id: Final = self._function_call_ids_by_item_id(stream_events)
+        event_call_ids: Final = tuple(
+            self._function_call_event_call_id(event, call_id_by_item_id) for event in stream_events
+        )
+        rewrites_by_call_id: Final = MappingProxyType(
             {
-                output_idx: after
-                for output_idx, before, after in zip(
-                    function_call_indices, pre_guardrail_tool_calls, post_guardrail_tool_calls
-                )
+                call_id: after
+                for call_id, before, after in zip(call_ids, pre_guardrail_tool_calls, post_guardrail_tool_calls)
                 if after != before
             }
         )
-        for output_idx, rewrite in rewrites_by_output_index.items():
-            self._write_function_call_item(outputs[output_idx], rewrite.name, rewrite.arguments)
-        self._sync_stream_events_with_tool_call_rewrites(
-            stream_events=responses_so_far[:-1],
-            rewrites_by_output_index=rewrites_by_output_index,
+        unresolved_argument_event: Final = any(
+            call_id is None and stream_item_field(event, "type") in _FUNCTION_CALL_ARGUMENT_EVENT_TYPES
+            for event, call_id in zip(stream_events, event_call_ids)
         )
+        if (
+            len(call_ids) != len(function_call_items)
+            or len(frozenset(call_ids)) != len(call_ids)
+            or len(call_ids) != len(post_guardrail_tool_calls)
+            or unresolved_argument_event
+            or not rewrites_by_call_id.keys() <= frozenset(event_call_ids)
+        ):
+            from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
 
-    def _sync_stream_events_with_tool_call_rewrites(
-        self,
-        stream_events: Sequence[object],
-        rewrites_by_output_index: Mapping[int, _ToolCallShape],
-    ) -> None:
-        """Sync pre-completion function-call events with the rewritten completed
-        response: the first ``function_call_arguments.delta`` for a rewritten call
-        carries the full rewritten arguments and the rest are blanked, while
-        ``function_call_arguments.done`` and ``output_item.done`` carry the full
-        rewritten arguments and ``output_item.added`` / ``output_item.done`` the
-        rewritten name, so every event a client may read agrees with the
-        rewritten ``response.completed`` payload."""
+            raise UndeliverableStreamRewrite(guardrail_name)
+        for output_item, rewrite in (
+            (output_item, rewrites_by_call_id[call_id])
+            for output_item, call_id in zip(function_call_items, call_ids)
+            if call_id in rewrites_by_call_id
+        ):
+            self._write_function_call_item(output_item, rewrite.name, rewrite.arguments)
         delta_replacements: Final = MappingProxyType(
-            {index: chain((rewrite.arguments,), repeat("")) for index, rewrite in rewrites_by_output_index.items()}
+            {call_id: chain((rewrite.arguments,), repeat("")) for call_id, rewrite in rewrites_by_call_id.items()}
         )
-        for event in stream_events:
-            output_index = stream_item_field(event, "output_index")
-            if not isinstance(output_index, int) or output_index not in rewrites_by_output_index:
+        for event, call_id in zip(stream_events, event_call_ids):
+            if call_id not in rewrites_by_call_id:
                 continue
-            rewrite = rewrites_by_output_index[output_index]
             match stream_item_field(event, "type"):
                 case "response.function_call_arguments.delta":
-                    self._write_event_field(event, "delta", next(delta_replacements[output_index]))
+                    self._write_event_field(event, "delta", next(delta_replacements[call_id]))
                 case "response.function_call_arguments.done":
-                    self._write_event_field(event, "arguments", rewrite.arguments)
+                    self._write_event_field(event, "arguments", rewrites_by_call_id[call_id].arguments)
                 case "response.output_item.added":
-                    self._write_function_call_item(stream_item_field(event, "item"), rewrite.name, None)
+                    self._write_function_call_item(
+                        stream_item_field(event, "item"), rewrites_by_call_id[call_id].name, None
+                    )
                 case "response.output_item.done":
-                    self._write_function_call_item(stream_item_field(event, "item"), rewrite.name, rewrite.arguments)
+                    self._write_function_call_item(
+                        stream_item_field(event, "item"),
+                        rewrites_by_call_id[call_id].name,
+                        rewrites_by_call_id[call_id].arguments,
+                    )
                 case _:
                     pass
 
+    @staticmethod
+    def _function_call_ids_by_item_id(stream_events: Sequence[object]) -> Mapping[str, str]:
+        items: Final = tuple(
+            stream_item_field(event, "item")
+            for event in stream_events
+            if stream_item_field(event, "type") in _OUTPUT_ITEM_EVENT_TYPES
+        )
+        return MappingProxyType(
+            {
+                item_id: call_id
+                for item in items
+                if stream_item_field(item, "type") == "function_call"
+                and isinstance(item_id := stream_item_field(item, "id"), str)
+                and isinstance(call_id := stream_item_field(item, "call_id"), str)
+            }
+        )
+
+    @staticmethod
+    def _function_call_event_call_id(event: object, call_id_by_item_id: Mapping[str, str]) -> str | None:
+        event_type: Final = stream_item_field(event, "type")
+        if event_type in _FUNCTION_CALL_ARGUMENT_EVENT_TYPES:
+            item_id: Final = stream_item_field(event, "item_id")
+            return call_id_by_item_id.get(item_id) if isinstance(item_id, str) else None
+        if event_type not in _OUTPUT_ITEM_EVENT_TYPES:
+            return None
+        item: Final = stream_item_field(event, "item")
+        call_id: Final = stream_item_field(item, "call_id")
+        return call_id if stream_item_field(item, "type") == "function_call" and isinstance(call_id, str) else None
+
     @staticmethod
     def _write_function_call_item(item: object, name: str | None, arguments: str | None) -> None:
         if item is None:
diff --git a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
index bd2dff9b33c..64c243343d5 100644
--- a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
+++ b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
@@ -381,6 +381,31 @@ class TestAnthropicMessagesHandlerStreamingOutputProcessing:
 
         assert chunks == original
 
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_tool_use_rewrite_with_server_tool_use_block_fails_closed(self):
+        from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+        handler = AnthropicMessagesHandler()
+        server_tool_use = [
+            ("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "server_tool_use", "id": "srvtoolu_1", "name": "web_search", "input": {}}}),
+            ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "input_json_delta", "partial_json": '{"query": "fruit"}'}}),
+            ("content_block_stop", {"type": "content_block_stop", "index": 0}),
+        ]
+        tool_use = self._ended_tool_use_sse_chunks()
+        chunks = (
+            tool_use[:1]
+            + [f"event: {name}\ndata: {json.dumps(payload)}\n\n".encode() for name, payload in server_tool_use]
+            + [chunk.replace(b'"index": 0', b'"index": 1') for chunk in tool_use[1:]]
+        )
+
+        with pytest.raises(UndeliverableStreamRewrite):
+            await handler.process_output_streaming_response(
+                responses_so_far=chunks,
+                guardrail_to_apply=self._argument_masking_guardrail(),
+                litellm_logging_obj=MagicMock(),
+                deliver_ended_stream_rewrites=True,
+            )
+
     @pytest.mark.asyncio
     async def test_ended_stream_rewrite_leaves_chunks_untouched_by_default(self):
         handler = AnthropicMessagesHandler()
diff --git a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
index be168ec83e6..c7011a6f00e 100644
--- a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
@@ -1252,6 +1252,62 @@ class TestOpenAIChatCompletionsHandlerStreamingOutput:
                 deliver_ended_stream_rewrites=True,
             )
 
+    @staticmethod
+    def _two_choice_tool_call_stream_chunks() -> list:
+        from litellm.types.utils import (
+            ChatCompletionDeltaToolCall,
+            Delta,
+            Function,
+            ModelResponseStream,
+            StreamingChoices,
+        )
+
+        def chunk(
+            choice_index: int, tool_call: ChatCompletionDeltaToolCall | None, finish_reason: Optional[str] = None
+        ) -> ModelResponseStream:
+            return ModelResponseStream(
+                id="chatcmpl-123",
+                created=1234567890,
+                model="gpt-4",
+                object="chat.completion.chunk",
+                choices=[
+                    StreamingChoices(
+                        index=choice_index,
+                        delta=Delta(tool_calls=[tool_call] if tool_call else None),
+                        finish_reason=finish_reason,
+                    )
+                ],
+            )
+
+        def fragment(arguments: str, name: Optional[str] = None, call_id: Optional[str] = None):
+            return ChatCompletionDeltaToolCall(
+                id=call_id, index=0, type="function", function=Function(name=name, arguments=arguments)
+            )
+
+        return [
+            chunk(0, fragment("", name="lookup_fruit", call_id="call_1")),
+            chunk(1, fragment("", name="lookup_fruit", call_id="call_2")),
+            chunk(0, fragment('{"fruit": "persimmon"}')),
+            chunk(1, fragment('{"fruit": "durian"}')),
+            chunk(0, None, finish_reason="tool_calls"),
+            chunk(1, None, finish_reason="tool_calls"),
+        ]
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_tool_call_rewrite_on_multi_choice_stream_fails_closed(self):
+        from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+        handler = OpenAIChatCompletionsHandler()
+        chunks = self._two_choice_tool_call_stream_chunks()
+
+        with pytest.raises(UndeliverableStreamRewrite):
+            await handler.process_output_streaming_response(
+                responses_so_far=chunks,
+                guardrail_to_apply=MockGuardrail(guardrail_name="test"),
+                litellm_logging_obj=None,
+                deliver_ended_stream_rewrites=True,
+            )
+
     @pytest.mark.asyncio
     async def test_deliver_ended_stream_clean_multi_choice_stream_released_untouched(self):
         handler = OpenAIChatCompletionsHandler()
diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
index bdf7f83757c..fa1e969b277 100644
--- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -1314,6 +1314,96 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
         assert completed_event.response.output[0].arguments == '{"fruit": "[MASKED]"}'
         assert completed_event.response.output[0].name == "lookup_fruit"
 
+    @staticmethod
+    def _bridged_function_call_stream_events() -> List[dict]:
+        reasoning = {"type": "reasoning", "id": "rs_1", "summary": []}
+        text = {"type": "output_text", "text": "Looking that up", "annotations": []}
+        message = {"type": "message", "id": "msg_1", "role": "assistant", "status": "completed", "content": [text]}
+
+        def function_call(arguments: str, status: str) -> dict:
+            return {
+                "type": "function_call",
+                "id": "fc_1",
+                "call_id": "call_1",
+                "name": "lookup_fruit",
+                "arguments": arguments,
+                "status": status,
+            }
+
+        return [
+            {"type": "response.output_item.added", "output_index": 0, "item": dict(reasoning)},
+            {"type": "response.output_item.done", "output_index": 0, "item": dict(reasoning)},
+            {"type": "response.output_item.added", "output_index": 0, "item": {**message, "status": "in_progress", "content": []}},
+            {"type": "response.output_text.delta", "item_id": "msg_1", "output_index": 0, "content_index": 0, "delta": "Looking that up"},
+            {"type": "response.output_item.done", "output_index": 0, "item": {**message, "content": [dict(text)]}},
+            {"type": "response.output_item.added", "output_index": 1, "item": function_call("", "in_progress")},
+            {"type": "response.function_call_arguments.delta", "item_id": "fc_1", "output_index": 1, "delta": '{"fruit":'},
+            {"type": "response.function_call_arguments.delta", "item_id": "fc_1", "output_index": 1, "delta": ' "persimmon"}'},
+            {
+                "type": "response.function_call_arguments.done",
+                "item_id": "fc_1",
+                "output_index": 1,
+                "arguments": '{"fruit": "persimmon"}',
+            },
+            {"type": "response.output_item.done", "output_index": 1, "item": function_call('{"fruit": "persimmon"}', "completed")},
+            {
+                "type": "response.completed",
+                "response": {
+                    "id": "resp_1",
+                    "model": "claude-haiku-4-5",
+                    "output": [
+                        dict(reasoning),
+                        {**message, "content": [dict(text)]},
+                        function_call('{"fruit": "persimmon"}', "completed"),
+                    ],
+                },
+            },
+        ]
+
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_keys_bridged_function_call_events_by_call_id(self):
+        handler = OpenAIResponsesHandler()
+        events = self._bridged_function_call_stream_events()
+
+        await handler.process_output_streaming_response(
+            responses_so_far=events,
+            guardrail_to_apply=self._argument_masking_guardrail(),
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        assert events[6]["delta"] == '{"fruit": "[MASKED]"}'
+        assert events[7]["delta"] == ""
+        assert events[8]["arguments"] == '{"fruit": "[MASKED]"}'
+        assert events[5]["item"]["name"] == "lookup_fruit"
+        assert events[9]["item"]["arguments"] == '{"fruit": "[MASKED]"}'
+        assert events[10]["response"]["output"][2]["arguments"] == '{"fruit": "[MASKED]"}'
+        assert events[3]["delta"] == "Looking that up"
+        assert events[4]["item"]["content"][0]["text"] == "Looking that up"
+        assert events[10]["response"]["output"][1]["content"][0]["text"] == "Looking that up"
+        assert events[1]["item"] == {"type": "reasoning", "id": "rs_1", "summary": []}
+
+    @pytest.mark.asyncio
+    @pytest.mark.parametrize("mismatch", ["orphan_call_id", "duplicate_call_id"])
+    async def test_deliver_ended_stream_function_call_rewrite_without_matching_events_fails_closed(self, mismatch):
+        from litellm.proxy.policy_engine.pipeline_executor import UndeliverableStreamRewrite
+
+        handler = OpenAIResponsesHandler()
+        events = self._ended_function_call_stream_events()
+        envelope_item = events[5]["response"]["output"][0]
+        if mismatch == "orphan_call_id":
+            events[5]["response"]["output"] = [{**envelope_item, "call_id": "call_999"}]
+        else:
+            events[5]["response"]["output"] = [dict(envelope_item), dict(envelope_item)]
+
+        with pytest.raises(UndeliverableStreamRewrite):
+            await handler.process_output_streaming_response(
+                responses_so_far=events,
+                guardrail_to_apply=self._argument_masking_guardrail(),
+                litellm_logging_obj=None,
+                deliver_ended_stream_rewrites=True,
+            )
+
     @pytest.mark.asyncio
     async def test_ended_stream_function_call_rewrite_leaves_events_untouched_by_default(self):
         handler = OpenAIResponsesHandler()

From 9d164fa34150ac7dc0551d9efec16cdb27848c5c Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 13:24:15 -0700
Subject: [PATCH 119/223] bump: litellm-proxy-extras 0.4.94 -> 0.4.95, litellm
 1.101.0 -> 1.102.0

---
 litellm-proxy-extras/pyproject.toml | 4 ++--
 pyproject.toml                      | 6 +++---
 uv.lock                             | 6 +++---
 3 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml
index 82d31fec373..91b4e4a7ba1 100644
--- a/litellm-proxy-extras/pyproject.toml
+++ b/litellm-proxy-extras/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "litellm-proxy-extras"
-version = "0.4.94"
+version = "0.4.95"
 description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
 readme = "README.md"
 requires-python = ">=3.9"
@@ -26,7 +26,7 @@ required-version = ">=0.10.9"
 module-root = ""
 
 [tool.commitizen]
-version = "0.4.94"
+version = "0.4.95"
 version_files = [
     "pyproject.toml:^version",
     "../pyproject.toml:litellm-proxy-extras==",
diff --git a/pyproject.toml b/pyproject.toml
index af35c77d259..706b14b8a04 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "litellm"
-version = "1.101.0"
+version = "1.102.0"
 description = "Library to easily interface with LLM API providers"
 readme = "README.md"
 requires-python = ">=3.10, <3.15"
@@ -67,7 +67,7 @@ proxy = [
     "azure-identity>=1.25.2,<2.0",
     "azure-storage-blob>=12.28.0,<13.0",
     "mcp>=1.28.1,<2.0",
-    "litellm-proxy-extras==0.4.94",
+    "litellm-proxy-extras==0.4.95",
     "litellm-enterprise==0.1.65",
     "RestrictedPython>=8.5,<9.0",
     "rich>=13.9.4,<14.0",
@@ -328,7 +328,7 @@ members = ["enterprise", "litellm-proxy-extras"]
 profile = "black"
 
 [tool.commitizen]
-version = "1.101.0"
+version = "1.102.0"
 version_files = [
     "pyproject.toml:^version",
 ]
diff --git a/uv.lock b/uv.lock
index 89205cd9527..12dc2c69d23 100644
--- a/uv.lock
+++ b/uv.lock
@@ -10,7 +10,7 @@ resolution-markers = [
 ]
 
 [options]
-exclude-newer = "2026-09-02T16:58:34.594994Z"
+exclude-newer = "2026-09-05T20:24:07.535116Z"
 exclude-newer-span = "P3D"
 
 [manifest]
@@ -4358,7 +4358,7 @@ wheels = [
 
 [[package]]
 name = "litellm"
-version = "1.101.0"
+version = "1.102.0"
 source = { editable = "." }
 dependencies = [
     { name = "aiohttp" },
@@ -4776,7 +4776,7 @@ source = { editable = "enterprise" }
 
 [[package]]
 name = "litellm-proxy-extras"
-version = "0.4.94"
+version = "0.4.95"
 source = { editable = "litellm-proxy-extras" }
 
 [[package]]

From 071f83980c319b9d9a21f77179781052c050b517 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:26:17 -0700
Subject: [PATCH 120/223] refactor(proxy): type the post_call deferral helpers'
 request-state parameters

---
 litellm/proxy/utils.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index e48bd3851fb..e653ca6b62c 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -544,7 +544,7 @@ def _guardrails_outside_pipeline(policy_name: str, pipeline: "GuardrailPipeline"
 
 
 def _without_names(
-    bucket: dict,  # mutable-ok: the applied_* header slots live in the request-state dict every hook writes in place
+    bucket: dict[str, object],  # mutable-ok: the applied_* header slots live in the request-state dict hooks write
     slot: str,
     names: frozenset[str],
 ) -> None:
@@ -561,7 +561,7 @@ def _without_names(
 
 
 def _withdraw_deferred_claims(
-    data: dict,  # mutable-ok: same request-payload shape as post_call_success_hook's data
+    data: dict[str, object],  # mutable-ok: same request-payload shape as post_call_success_hook's data
     deferred: Sequence[tuple[str, "GuardrailPipeline"]],
 ) -> None:
     outside_by_policy: Final = MappingProxyType(
@@ -586,7 +586,7 @@ def _withdraw_deferred_claims(
 
 
 def _defer_post_call_pipelines(
-    data: dict,  # mutable-ok: same request-payload shape as post_call_success_hook's data
+    data: dict[str, object],  # mutable-ok: same request-payload shape as post_call_success_hook's data
     response: ResponsesAPIResponse,
 ) -> None:
     deferred: Final = _post_call_pipelines(data)
@@ -2990,7 +2990,7 @@ class ProxyLogging:
 
     async def _run_post_call_pipelines(
         self,
-        data: dict,  # mutable-ok: same request-payload shape as post_call_success_hook's data
+        data: dict[str, object],  # mutable-ok: same request-payload shape as post_call_success_hook's data
         user_api_key_dict: UserAPIKeyAuth,
         response: LLMResponseTypes,
     ) -> LLMResponseTypes | None:

From 0c2d0f4777f4113b42510e2daef2330ca0bb87a8 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:28:13 -0700
Subject: [PATCH 121/223] fix(spend-tracking): forget an empty spend-log lookup
 after thirty seconds

The daily spend rows and the spend logs of one batch are written a moment apart, so a usage read landing between them used to remember the session as nameless for ten minutes on that worker. Found identities keep the ten minute entry
---
 litellm/constants.py                          |  1 +
 .../spend_tracking/key_metadata_recovery.py   | 19 ++++++++++++++++--
 .../test_key_metadata_recovery.py             | 20 +++++++++++++++++++
 3 files changed, 38 insertions(+), 2 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index 9654c84c412..cfc5b6b86a7 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -1764,6 +1764,7 @@ SPECIAL_LITELLM_AUTH_TOKEN: Final = ["ui-token"]
 DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL = int(os.getenv("DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL", 60))
 DEFAULT_ACCESS_GROUP_CACHE_TTL: Final = int(os.getenv("DEFAULT_ACCESS_GROUP_CACHE_TTL", 600))
 SPEND_LOG_KEY_METADATA_CACHE_TTL: Final = 600
+SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL: Final = 30
 SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS: Final = 10000
 # Short TTL for negative MCP access-group existence lookups. Keeps unauthenticated
 # callers from forcing a DB query per request for unknown names, while bounding
diff --git a/litellm/proxy/spend_tracking/key_metadata_recovery.py b/litellm/proxy/spend_tracking/key_metadata_recovery.py
index 7212d8b6acb..354c6479d34 100644
--- a/litellm/proxy/spend_tracking/key_metadata_recovery.py
+++ b/litellm/proxy/spend_tracking/key_metadata_recovery.py
@@ -9,7 +9,11 @@ from typing_extensions import ReadOnly, TypedDict
 
 from litellm._logging import verbose_proxy_logger
 from litellm.caching.in_memory_cache import InMemoryCache
-from litellm.constants import SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS, SPEND_LOG_KEY_METADATA_CACHE_TTL
+from litellm.constants import (
+    SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS,
+    SPEND_LOG_KEY_METADATA_CACHE_TTL,
+    SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL,
+)
 from litellm.litellm_core_utils.litellm_logging import is_valid_sha256_hash
 from litellm.proxy.utils import PrismaClient
 from litellm.repositories.user_repository import UserRepository
@@ -230,6 +234,17 @@ async def _query_spend_log_metadata(
     )
 
 
+def _remember_spend_log_metadata(
+    cache: InMemoryCache, digest: str, window: tuple[datetime, datetime], meta: KeyMetadataDict | None
+) -> None:
+    if meta is None:
+        cache.set_cache(
+            _spend_log_cache_key(digest, window), KeyMetadataDict(), ttl=SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL
+        )
+        return
+    cache.set_cache(_spend_log_cache_key(digest, window), meta)
+
+
 async def recover_key_metadata_from_spend_logs(
     prisma_client: PrismaClient,
     missing_keys: AbstractSet[str],
@@ -251,7 +266,7 @@ async def recover_key_metadata_from_spend_logs(
     fresh: Final = await _query_spend_log_metadata(prisma_client, uncached, window) if uncached else _EMPTY_KEY_METADATA
     if fresh is not None:
         for digest in uncached:
-            cache.set_cache(_spend_log_cache_key(digest, window), fresh.get(digest, KeyMetadataDict()))
+            _remember_spend_log_metadata(cache, digest, window, fresh.get(digest))
     return MappingProxyType(
         {digest: meta for digest, meta in (*cached.items(), *(fresh or _EMPTY_KEY_METADATA).items()) if meta}
     )
diff --git a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
index 3d7362b9de0..4f065070330 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
@@ -1,3 +1,4 @@
+import time
 from collections.abc import Sequence
 from datetime import datetime
 from types import SimpleNamespace
@@ -7,6 +8,7 @@ import pytest
 from prisma.errors import PrismaError
 
 from litellm.caching.in_memory_cache import InMemoryCache
+from litellm.constants import SPEND_LOG_KEY_METADATA_CACHE_TTL, SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL
 from litellm.proxy.spend_tracking.key_metadata_recovery import (
     fill_missing_api_key_aliases,
     recover_double_hashed_key_metadata,
@@ -395,3 +397,21 @@ async def test_recover_key_metadata_from_spend_logs_does_not_cache_a_failed_quer
     result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache)
 
     assert result[digest]["key_alias"] == "back-online"
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_forgets_a_miss_long_before_a_hit():
+    found = hash_token("cli-session-found")
+    unknown = hash_token("cli-session-unknown")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL)
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(found, "found-alias", None, None)])
+    started = time.time()
+
+    await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache)
+
+    hit_expires = next(deadline for key, deadline in cache.ttl_dict.items() if found in key)
+    miss_expires = next(deadline for key, deadline in cache.ttl_dict.items() if unknown in key)
+    assert miss_expires - started <= SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL + 1
+    assert hit_expires - started >= SPEND_LOG_KEY_METADATA_CACHE_TTL - 1

From 4a3a78c256bab366597a76d44930b323bce6335b Mon Sep 17 00:00:00 2001
From: tin-berri <tin@berri.ai>
Date: Tue, 8 Sep 2026 13:28:57 -0700
Subject: [PATCH 122/223] feat(complexity_router): rebalance heuristic weights
 in the dashboard and grade custom dimensions by match count (#40205)

The Advanced scoring editor now lists built-in and custom dimensions together. Editing any weight holds it and rescales the others proportionally so the vector totals 1.00, and Save stores those explicit values. The backend scores exactly what is stored, with no runtime normalization, so routers nobody edits keep their weights.

CustomDimension gains an opt-in scoring_mode. match_count scores 0, 0.5 or 1 by distinct matcher hits; the default stays binary. The tuning fingerprint omits a binary scoring_mode, so routers written before this change keep their recorded baseline and the upgrade does not consume the free heuristic-v1 tuning slot.
---
 .../complexity_router/README.md               |  12 +-
 .../complexity_router/complexity_router.py    |  38 ++++-
 .../complexity_router/config.py               |  13 +-
 .../auto_router_tuning_baseline.py            |  12 +-
 .../router_strategy/test_complexity_router.py | 148 +++++++++++++-----
 .../test_auto_router_tuning_baseline.py       |  73 ++++++++-
 .../add_model/ClassificationMethodConfig.tsx  |   5 +-
 .../add_model/ComplexityRouterConfig.test.tsx |   6 +-
 .../add_model/ComplexityRouterConfig.tsx      |   6 +
 .../add_model/CustomDimensionRows.tsx         | 136 ++++++++++++++++
 ...euristicScoringConfig.integration.test.tsx |  90 +++++++++++
 .../add_model/HeuristicScoringConfig.test.tsx |  14 +-
 .../add_model/HeuristicScoringConfig.tsx      |  85 ++++++++--
 .../add_model/add_auto_router_tab.tsx         |   4 +
 .../build_complexity_router_config.test.ts    |  47 +++++-
 .../build_complexity_router_config.ts         |  17 +-
 .../add_model/custom_dimensions.test.ts       |  41 +++++
 .../components/add_model/custom_dimensions.ts |  54 +++++++
 .../add_model/heuristic_scoring_knobs.test.ts | 119 ++++++++++++++
 .../add_model/heuristic_scoring_knobs.ts      |  97 +++++++++++-
 .../src/components/add_model/tier_rows.ts     |   1 +
 ...d_updated_complexity_router_config.test.ts |  49 ++++++
 .../edit_auto_router_modal.tsx                |  17 +-
 .../src/lib/autorouter_presets.test.ts        |  28 ++++
 .../src/lib/autorouter_presets.ts             |  12 ++
 ui/litellm-dashboard/src/lib/http/schema.d.ts |   9 +-
 26 files changed, 1047 insertions(+), 86 deletions(-)
 create mode 100644 ui/litellm-dashboard/src/components/add_model/CustomDimensionRows.tsx
 create mode 100644 ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.integration.test.tsx
 create mode 100644 ui/litellm-dashboard/src/components/add_model/custom_dimensions.test.ts
 create mode 100644 ui/litellm-dashboard/src/components/add_model/custom_dimensions.ts

diff --git a/litellm/router_strategy/complexity_router/README.md b/litellm/router_strategy/complexity_router/README.md
index 88ed374dd3f..d605b43e42a 100644
--- a/litellm/router_strategy/complexity_router/README.md
+++ b/litellm/router_strategy/complexity_router/README.md
@@ -207,17 +207,27 @@ custom_dimensions:
   - name: sqlMigration
     weight: 0.7
     patterns: ['\b(create|alter|drop)\s{1,4}table\b']
+  - name: dataPipeline
+    weight: 0.4
+    scoring_mode: match_count
+    keywords: [airflow, dbt, snowflake]
 ```
 
 Each dimension contributes its weight once when any matcher hits the current ask. Repeated matches do not increase it. The built-in score and tier boundaries are unchanged, and the total score is not renormalized. Keywords use the existing case-insensitive word-boundary and CJK rules. Regexes search the first 2048 characters case-insensitively and compile during configuration validation and router initialization, never per request
 
+`scoring_mode` is optional and defaults to `binary`, the behavior above. `match_count` grades the dimension by how many distinct matchers hit: none scores 0 and emits no signal, one scores half the weight, two or more score the full weight. Repeated occurrences of one matcher never raise the count, keywords are distinct case-insensitively, patterns are distinct by source, and a keyword and a pattern are always distinct from each other. Matching stops as soon as the selected mode's maximum is reached, so a binary dimension still stops at its first hit. Existing configurations without the field keep binary scoring and the same tuning fingerprint, so the field only counts as a tuning change when set to `match_count`
+
+### Weights through the API versus the dashboard
+
+The API and YAML store exactly the weights written. A `dimension_weights` map and inline custom weights are read literally, missing recognized built-in names score zero, and nothing renormalizes the vector, so a total other than 1 is legal and scores accordingly. The dashboard's heuristic scoring editor is the one place that rebalances: editing one weight there holds it and redistributes the remainder across the other active dimensions in the draft, then Save sends the resulting explicit values, which the backend stores and scores as written. Opening a router, applying a preset, editing matchers, changing `scoring_mode`, or saving unrelated fields never normalizes existing weights
+
 Only `heuristic`, `heuristic_first` and `hybrid` accept custom dimensions. Each name must be a unique ASCII identifier starting with a letter, at most 64 characters, and cannot reuse a built-in dimension name or a key in `dimension_weights`. Set its weight inline, greater than zero and at most one
 
 Patterns are checked at configuration time against a grammar whose worst case stays a few milliseconds on 2048 characters. Every quantifier needs an explicit upper bound of at most 64 and must repeat a single character or character class, so `\s{1,4}` is accepted while `\s+`, `(a|aa){0,12}` and `(?:ab){0,64}` are refused. Backreferences, lookarounds, atomic groups and possessive quantifiers are refused as well. Each pattern is then costed: alternation branches and repeat lengths multiply the ways the engine can retry, and every later piece of the pattern is charged once per path that can reach it, so `a?a?a?a?a?a?a?a?` followed by a long fixed tail is refused even though each quantifier is small. The budget is 2048 work units per pattern and 8192 across the router. An invalid or over-budget pattern fails the write with a message naming the pattern and the rule it broke
 
 Limits are 16 dimensions, 32 combined keywords/patterns per dimension, 256 characters per matcher and 4096 matcher characters per dimension. Matching runs inline on the request path with no timeout and no worker thread, because the grammar is what bounds the cost. These are routing hints, not security enforcement rules
 
-The existing heuristic-v1 tuning quota covers custom dimensions and their weights: one changed router without an auto-router license, unlimited with the entitlement. Omitting `custom_dimensions` preserves existing scoring. Routing decisions and spend logs include signals such as `custom (sqlMigration)` without recording the configured pattern or matched text. The field is configured through YAML or the model API; this change adds no dashboard editor
+The existing heuristic-v1 tuning quota covers custom dimensions, their weights and their scoring mode: one changed router without an auto-router license, unlimited with the entitlement. Omitting `custom_dimensions` preserves existing scoring. Routing decisions and spend logs include signals such as `custom (sqlMigration)` without recording the configured pattern or matched text. The field is configured through YAML, the model API, or the dashboard's heuristic scoring editor
 
 ## Usage
 
diff --git a/litellm/router_strategy/complexity_router/complexity_router.py b/litellm/router_strategy/complexity_router/complexity_router.py
index c8644f52c57..ae1f82fc40b 100644
--- a/litellm/router_strategy/complexity_router/complexity_router.py
+++ b/litellm/router_strategy/complexity_router/complexity_router.py
@@ -20,7 +20,7 @@ import random
 import re
 import time
 from collections.abc import Callable, Iterator, Mapping, Sequence
-from itertools import accumulate, islice, takewhile
+from itertools import accumulate, chain, islice, takewhile
 from threading import Lock
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, Literal, NamedTuple, cast
@@ -82,6 +82,7 @@ from .config import (
     ClassificationRubric,
     ComplexityRouterConfig,
     ComplexityTier,
+    CustomDimension,
     TierDefinition,
 )
 from .stall_detector import detect_stalled_task
@@ -879,6 +880,15 @@ class DimensionScore:
         self.signal = signal
 
 
+class _CustomDimensionMatchers(NamedTuple):
+    """One custom dimension's distinct matchers and the number of hits that saturates its score."""
+
+    dimension: CustomDimension
+    keywords: tuple[str, ...]
+    patterns: tuple[re.Pattern[str], ...]
+    saturation: int
+
+
 class KeywordOverride(NamedTuple):
     """A keyword_tier_rules match: the winning tier and, on the lexical path, the keyword that fired."""
 
@@ -1121,7 +1131,12 @@ class ComplexityRouter(CustomLogger):
         )
         self.simple_keywords = self.config.simple_keywords or DEFAULT_SIMPLE_KEYWORDS
         self._custom_dimensions = tuple(
-            (dimension, tuple(re.compile(pattern, re.IGNORECASE) for pattern in dimension.patterns))
+            _CustomDimensionMatchers(
+                dimension,
+                tuple(dict.fromkeys(keyword.lower() for keyword in dimension.keywords)),
+                tuple(re.compile(pattern, re.IGNORECASE) for pattern in dict.fromkeys(dimension.patterns)),
+                2 if dimension.scoring_mode == "match_count" else 1,
+            )
             for dimension in self.config.custom_dimensions
         )
         if self.config.has_custom_tiers:
@@ -1325,15 +1340,26 @@ class ComplexityRouter(CustomLogger):
         score: Final = score_high if match_count >= high_threshold else score_low
         return DimensionScore(name, score, f"{signal_label} ({detail})"), match_count
 
+    def _count_custom_hits(self, matchers: _CustomDimensionMatchers, user_text: str, scanned: str) -> int:
+        hits: Final = chain(
+            (self._keyword_matches(user_text, keyword) for keyword in matchers.keywords),
+            (pattern.search(scanned) is not None for pattern in matchers.patterns),
+        )
+        return sum(islice((1 for hit in hits if hit), matchers.saturation))
+
     def _score_custom_dimensions(self, prompt: str, user_text: str) -> tuple[tuple[DimensionScore, float], ...]:
         if not self._custom_dimensions:
             return ()
         scanned: Final = prompt[:CUSTOM_PATTERN_SCAN_CHARS]
         return tuple(
-            (DimensionScore(dimension.name, 1.0, f"custom ({dimension.name})"), dimension.weight)
-            for dimension, patterns in self._custom_dimensions
-            if any(self._keyword_matches(user_text, keyword) for keyword in dimension.keywords)
-            or any(pattern.search(scanned) is not None for pattern in patterns)
+            (
+                DimensionScore(
+                    matchers.dimension.name, hits / matchers.saturation, f"custom ({matchers.dimension.name})"
+                ),
+                matchers.dimension.weight,
+            )
+            for matchers in self._custom_dimensions
+            if (hits := self._count_custom_hits(matchers, user_text, scanned))
         )
 
     def _score_multi_step(self, text: str) -> DimensionScore:
diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py
index 3ec9f9b5394..37375d9727d 100644
--- a/litellm/router_strategy/complexity_router/config.py
+++ b/litellm/router_strategy/complexity_router/config.py
@@ -667,6 +667,14 @@ class CustomDimension(BaseModel):
     weight: float = Field(gt=0, le=1, allow_inf_nan=False)
     keywords: tuple[Annotated[str, Field(min_length=1, max_length=256)], ...] = Field(default=(), max_length=32)
     patterns: tuple[Annotated[str, Field(min_length=1, max_length=256)], ...] = Field(default=(), max_length=32)
+    scoring_mode: Literal["binary", "match_count"] = Field(
+        default="binary",
+        description=(
+            "'binary' scores 1 when any matcher hits. 'match_count' scores 0.5 when one distinct matcher hits and 1 "
+            "when two or more do; repeated occurrences of one matcher never raise it. Keywords are distinct "
+            "case-insensitively, patterns by source, and a keyword and a pattern are always distinct from each other."
+        ),
+    )
 
     @model_validator(mode="after")
     def _validate_matchers(self) -> "CustomDimension":
@@ -794,8 +802,9 @@ class ComplexityRouterConfig(BaseModel):
         default=(),
         max_length=16,
         description=(
-            "Named binary dimensions added to the heuristic-v1 score. Each contributes its inline weight once "
-            "when any keyword matches the current ask or a case-insensitive regex matches its first 2048 characters. "
+            "Named dimensions added to the heuristic-v1 score. Each contributes its inline weight once "
+            "when any keyword matches the current ask or a case-insensitive regex matches its first 2048 characters; "
+            "scoring_mode 'match_count' instead grades half weight for one distinct matcher and full for two or more. "
             "Regex quantifiers repeat one character or class at most 64 times. Unbounded quantifiers, repeated groups, "
             "backreferences and lookarounds are rejected. Conservative work limits include alternation paths, "
             "repeat lengths and subsequent matching: 2048 units per pattern, 8192 across the router. "
diff --git a/litellm/router_utils/auto_router_tuning_baseline.py b/litellm/router_utils/auto_router_tuning_baseline.py
index 74f7b82389a..9699ab886b9 100644
--- a/litellm/router_utils/auto_router_tuning_baseline.py
+++ b/litellm/router_utils/auto_router_tuning_baseline.py
@@ -52,7 +52,17 @@ def tuning_fingerprint(complexity_router_config: object) -> str | None:
     supplied: Final = ((_TUNING_FIELD_SET - frozenset(("tier_model_configs",))) & frozenset(raw)) | (
         frozenset(("tier_model_configs",)) if validated.tier_model_configs else frozenset()
     )
-    payload: Final = validated.model_dump(mode="json", include=supplied)
+    payload: Final = validated.model_dump(
+        mode="json",
+        include=supplied,
+        exclude={
+            "custom_dimensions": {
+                index: {"scoring_mode"}
+                for index, dimension in enumerate(validated.custom_dimensions)
+                if dimension.scoring_mode == "binary"
+            }
+        },
+    )
     return hashlib.sha256(json.dumps(payload, sort_keys=True, separators=(",", ":")).encode()).hexdigest()
 
 
diff --git a/tests/test_litellm/router_strategy/test_complexity_router.py b/tests/test_litellm/router_strategy/test_complexity_router.py
index 5b1d8562abd..b0f2a65bb9b 100644
--- a/tests/test_litellm/router_strategy/test_complexity_router.py
+++ b/tests/test_litellm/router_strategy/test_complexity_router.py
@@ -826,6 +826,8 @@ class TestCustomDimensions:
             pytest.param({"keywords": ["x"] * 32, "patterns": ["y"]}, {}, id="combined-matcher-count"),
             pytest.param({"keywords": ["x" * 256] * 17}, {}, id="matcher-character-budget"),
             pytest.param({"unknown": True}, {}, id="extra-field"),
+            pytest.param({"scoring_mode": "graded"}, {}, id="unknown-scoring-mode"),
+            pytest.param({"scoring_mode": None}, {}, id="null-scoring-mode"),
         ],
     )
     def test_custom_dimension_invalid_configuration_rejected(
@@ -878,43 +880,125 @@ class TestCustomDimensions:
             )
 
     @pytest.mark.asyncio
-    @pytest.mark.parametrize("current_ask", ("Hello!", "orbitmesh"))
+    @pytest.mark.parametrize("scoring_mode", ("binary", "match_count"))
+    @pytest.mark.parametrize("current_ask", ("Hello!", "orbitmesh", "orbitmesh fluxgate"))
     async def test_custom_dimensions_public_hook_scores_only_current_ask(
-        self, mock_router_instance: MagicMock, current_ask: str
+        self, mock_router_instance: MagicMock, current_ask: str, scoring_mode: str
     ) -> None:
         router: Final = ComplexityRouter(
             "test-router",
             mock_router_instance,
             {
                 "tiers": {"SIMPLE": "cheap", "MEDIUM": "mid", "COMPLEX": "strong", "REASONING": "top"},
-                "custom_dimensions": [{"name": "internalFrameworks", "weight": 0.7, "keywords": ["orbitmesh"]}],
+                "dimension_weights": {},
+                "custom_dimensions": [
+                    {
+                        "name": "internalFrameworks",
+                        "weight": 0.8,
+                        "keywords": ["orbitmesh", "fluxgate"],
+                        "scoring_mode": scoring_mode,
+                    }
+                ],
             },
         )
         result: Final = await router.async_pre_routing_hook(
             model="test-router",
             request_kwargs={},
             messages=[
-                {"role": "system", "content": "orbitmesh"},
-                {"role": "user", "content": "orbitmesh"},
-                {"role": "assistant", "content": "orbitmesh is ready"},
+                {"role": "system", "content": "orbitmesh fluxgate"},
+                {"role": "user", "content": "orbitmesh fluxgate"},
+                {"role": "assistant", "content": "orbitmesh fluxgate is ready"},
                 {"role": "user", "content": current_ask},
-                {"role": "tool", "tool_call_id": "previous", "content": "orbitmesh"},
+                {"role": "tool", "tool_call_id": "previous", "content": "orbitmesh fluxgate"},
             ],
         )
         assert result is not None
         assert result.routing_decision is not None
-        assert ("custom (internalFrameworks)" in result.routing_decision["signals"]) is (current_ask == "orbitmesh")
-        assert result.model == ("top" if current_ask == "orbitmesh" else "cheap")
+        expected_score: Final = (
+            0.0
+            if current_ask == "Hello!"
+            else 0.4
+            if scoring_mode == "match_count" and current_ask == "orbitmesh"
+            else 0.8
+        )
+        assert result.routing_decision["score"] == expected_score
+        assert ("custom (internalFrameworks)" in result.routing_decision["signals"]) is (expected_score > 0)
+        assert result.model == ("cheap" if expected_score == 0 else "strong" if expected_score == 0.4 else "top")
         assert "orbitmesh" not in " ".join(result.routing_decision["signals"])
 
-    def test_custom_patterns_scan_only_the_first_2048_characters(self, mock_router_instance: MagicMock) -> None:
+    @pytest.mark.parametrize("scoring_mode", ("binary", "match_count"))
+    def test_custom_patterns_scan_only_the_first_2048_characters(
+        self, mock_router_instance: MagicMock, scoring_mode: str
+    ) -> None:
         router: Final = ComplexityRouter(
             "test-router",
             mock_router_instance,
-            {"custom_dimensions": [{"name": "late", "weight": 0.7, "patterns": [r"zzz{1,3}"]}]},
+            {
+                "custom_dimensions": [
+                    {
+                        "name": "late",
+                        "weight": 0.7,
+                        "patterns": [r"zzz{1,3}", r"yyy{1,3}"],
+                        "scoring_mode": scoring_mode,
+                    }
+                ]
+            },
         )
+        baseline: Final = ComplexityRouter("test-router", mock_router_instance)
         assert "custom (late)" in router.classify("a" * 2040 + " zzz")[2]
         assert "custom (late)" not in router.classify("a" * 2048 + " zzz")[2]
+        second_hit_past_the_bound: Final = "yyy " + "a" * 2044 + " zzz"
+        contribution: Final = (
+            router.classify(second_hit_past_the_bound)[1] - baseline.classify(second_hit_past_the_bound)[1]
+        )
+        assert contribution == pytest.approx(0.7 if scoring_mode == "binary" else 0.35)
+
+    @pytest.mark.parametrize(
+        "prompt,expected_score",
+        [
+            pytest.param("Hello!", 0.0, id="no-hit"),
+            pytest.param("orbitmesh orbitmesh ORBITMESH again", 0.5, id="one-keyword-repeated"),
+            pytest.param("create table a; CREATE TABLE b; create  table c", 0.5, id="one-pattern-repeated"),
+            pytest.param("orbitmesh and fluxgate", 1.0, id="two-keywords"),
+            pytest.param("orbitmesh then create table t", 1.0, id="keyword-plus-pattern"),
+            pytest.param("create table a; alter table b", 1.0, id="two-patterns"),
+            pytest.param("orbitmesh fluxgate create table a alter table b", 1.0, id="all-matchers"),
+        ],
+    )
+    def test_match_count_grades_distinct_matchers(
+        self, mock_router_instance: MagicMock, prompt: str, expected_score: float
+    ) -> None:
+        dimension: Final = {
+            "name": "graded",
+            "weight": 0.6,
+            "keywords": ["orbitmesh", "ORBITMESH", "fluxgate"],
+            "patterns": [r"\bcreate\s{1,4}table\b", r"\bcreate\s{1,4}table\b", r"\balter\s{1,4}table\b"],
+        }
+        baseline: Final = ComplexityRouter("test-router", mock_router_instance)
+        binary: Final = ComplexityRouter("test-router", mock_router_instance, {"custom_dimensions": [dimension]})
+        graded: Final = ComplexityRouter(
+            "test-router",
+            mock_router_instance,
+            {"custom_dimensions": [{**dimension, "scoring_mode": "match_count"}]},
+        )
+        _, baseline_score, baseline_signals = baseline.classify(prompt)
+        _, binary_score, binary_signals = binary.classify(prompt)
+        _, graded_score, graded_signals = graded.classify(prompt)
+        assert graded_score == pytest.approx(baseline_score + 0.6 * expected_score)
+        assert binary_score == pytest.approx(baseline_score + (0.6 if expected_score else 0.0))
+        expected_signals: Final = [*baseline_signals, *(["custom (graded)"] if expected_score else [])]
+        assert graded_signals == expected_signals
+        assert binary_signals == expected_signals
+
+    def test_scoring_mode_round_trips_and_defaults_to_binary(self) -> None:
+        dimension: Final = {"name": "graded", "weight": 0.6, "keywords": ["orbitmesh"]}
+        legacy: Final = ComplexityRouterConfig.model_validate({"custom_dimensions": [dimension]})
+        graded: Final = ComplexityRouterConfig.model_validate(
+            {"custom_dimensions": [{**dimension, "scoring_mode": "match_count"}]}
+        )
+        assert legacy.custom_dimensions[0].scoring_mode == "binary"
+        assert graded.model_dump(mode="json")["custom_dimensions"][0]["scoring_mode"] == "match_count"
+        assert ComplexityRouterConfig.model_validate(graded.model_dump(mode="json")) == graded
 
     def test_custom_dimensions_router_wide_regex_work_is_capped(self) -> None:
         heavy: Final = {"weight": 0.5, "patterns": ["a?" * 8 + "z"]}
@@ -1511,6 +1595,7 @@ class TestRouterComplexityDeploymentMethods:
     def test_the_shipped_rubric_and_default_prompt_stay_free(self) -> None:
         """Only an operator-written prompt is gated: picking a shipped rubric preset, or writing no
         prompt at all, leaves a router unmetered, so several of them register under a ceiling of one."""
+
         def rubric(model_name: str, model_id: str, preset: str | None) -> dict[str, object]:
             llm_config: dict[str, object] = {"model": "gpt-4o-mini"}
             if preset is not None:
@@ -1647,6 +1732,7 @@ class TestRouterComplexityDeploymentMethods:
     def test_renaming_built_in_tiers_is_not_a_custom_tier_set(self) -> None:
         """tier_labels renames the built-in ladder without defining one, so it stays ungated: two such
         routers register under a ceiling of one."""
+
         def labeled(model_name: str, model_id: str) -> dict[str, object]:
             row = self._router_row(model_name, model_id, "heuristic")
             row["litellm_params"]["complexity_router_config"]["tier_labels"] = {"SIMPLE": "Cheap", "MEDIUM": "Standard"}
@@ -2520,9 +2606,7 @@ class TestLLMClassifier:
         assert outcome.classifier_cost == pytest.approx(1.35e-05)
 
     @pytest.mark.asyncio
-    async def test_aclassify_timeout_does_not_inherit_router_retries_or_fallbacks(
-        self, llm_classifier_config
-    ):
+    async def test_aclassify_timeout_does_not_inherit_router_retries_or_fallbacks(self, llm_classifier_config):
         real_router = Router(
             model_list=[
                 {
@@ -2565,9 +2649,7 @@ class TestLLMClassifier:
         assert real_router.total_calls["openai/mock-backup-classifier"] == 0
 
     @pytest.mark.asyncio
-    async def test_aclassify_enforces_total_classifier_deadline(
-        self, mock_router_instance, llm_classifier_config
-    ):
+    async def test_aclassify_enforces_total_classifier_deadline(self, mock_router_instance, llm_classifier_config):
         cancelled = asyncio.Event()
 
         async def slow_classifier(**_kwargs: object) -> None:
@@ -12414,9 +12496,7 @@ class TestTierHealthFailover:
                     llm_provider="",
                 )
             filtered = (*cooling, *blocked, *excluded)
-            healthy = [
-                {"model_name": model, "model_info": {"id": i}} for i in ids_by_model[model] if i not in filtered
-            ]
+            healthy = [{"model_name": model, "model_info": {"id": i}} for i in ids_by_model[model] if i not in filtered]
             if not healthy:
                 raise RouterRateLimitError(
                     model=model, cooldown_time=60.0, enable_pre_call_checks=False, cooldown_list=[]
@@ -12845,9 +12925,7 @@ class TestTierHealthFailover:
         assert all(probed is not request_kwargs for probed in router.litellm_router_instance.probed_kwargs)
 
     @pytest.mark.asyncio
-    async def test_a_peer_whose_every_deployment_is_over_its_rpm_is_not_a_failover_target(
-        self, mock_router_instance
-    ):
+    async def test_a_peer_whose_every_deployment_is_over_its_rpm_is_not_a_failover_target(self, mock_router_instance):
         """RPM exhaustion is its own verdict from the owner (RouterRateLimitErrorBasic). A peer
         in that state would be rejected downstream, so it cannot be the substitute."""
         from litellm.types.router import RouterRateLimitErrorBasic
@@ -12880,9 +12958,7 @@ class TestTierHealthFailover:
         assert {r.model for r in results} == {"live-c"}
 
     @pytest.mark.asyncio
-    async def test_the_probe_forwards_input_so_window_checks_run_on_input_only_surfaces(
-        self, mock_router_instance
-    ):
+    async def test_the_probe_forwards_input_so_window_checks_run_on_input_only_surfaces(self, mock_router_instance):
         """The Responses API carries its prompt as `input`, never as messages. The owner only
         runs its context-window pre-call check when one of them is present, so dropping `input`
         would silently skip window filtering on that whole surface."""
@@ -12908,9 +12984,7 @@ class TestTierHealthFailover:
         ), "the eligibility probe must forward `input` to the owner"
 
     @pytest.mark.asyncio
-    async def test_a_group_the_router_has_no_deployment_for_is_not_a_failover_target(
-        self, mock_router_instance
-    ):
+    async def test_a_group_the_router_has_no_deployment_for_is_not_a_failover_target(self, mock_router_instance):
         """The owner answers an unconfigured group with BadRequestError. Reading that as live
         would both skip failover off it and let it be chosen as a substitute."""
         router = self._router(
@@ -13099,9 +13173,7 @@ class TestClassifierVision:
         routed as default_fallback on text the request never contained.
         """
         router = self._router(mock_router_instance, vision={"enabled": True})
-        response = await router.async_pre_routing_hook(
-            model="m", request_kwargs={}, messages=self._turn(IMG_PART)
-        )
+        response = await router.async_pre_routing_hook(model="m", request_kwargs={}, messages=self._turn(IMG_PART))
         assert response.routing_decision["cause"] == "llm_classifier"
         assert response.model == "t-complex"
         assert [block["type"] for block in self._classifier_user_content(mock_router_instance)] == [
@@ -13112,9 +13184,7 @@ class TestClassifierVision:
     @pytest.mark.asyncio
     async def test_image_only_turn_still_falls_back_when_vision_is_off(self, mock_router_instance):
         router = self._router(mock_router_instance, vision={"enabled": False})
-        response = await router.async_pre_routing_hook(
-            model="m", request_kwargs={}, messages=self._turn(IMG_PART)
-        )
+        response = await router.async_pre_routing_hook(model="m", request_kwargs={}, messages=self._turn(IMG_PART))
         assert response.routing_decision["cause"] == "default_fallback"
         mock_router_instance.acompletion.assert_not_awaited()
 
@@ -13184,9 +13254,7 @@ class TestClassifierVision:
         makes the image the only variable; a margin loose enough to leave the score undecided
         would pass whether or not the guard exists.
         """
-        router = self._router(
-            mock_router_instance, vision={"enabled": True}, classifier_type=classifier_type, **extra
-        )
+        router = self._router(mock_router_instance, vision={"enabled": True}, classifier_type=classifier_type, **extra)
         response = await router.async_pre_routing_hook(
             model="m", request_kwargs={}, messages=self._turn({"type": "text", "text": "what is this"}, IMG_PART)
         )
@@ -13200,9 +13268,7 @@ class TestClassifierVision:
         self, mock_router_instance, classifier_type, extra, short_circuit_cause
     ):
         """The negative class: same router, same text, no image, and the scorer still decides."""
-        router = self._router(
-            mock_router_instance, vision={"enabled": True}, classifier_type=classifier_type, **extra
-        )
+        router = self._router(mock_router_instance, vision={"enabled": True}, classifier_type=classifier_type, **extra)
         response = await router.async_pre_routing_hook(
             model="m", request_kwargs={}, messages=[{"role": "user", "content": "what is this"}]
         )
diff --git a/tests/test_litellm/router_utils/test_auto_router_tuning_baseline.py b/tests/test_litellm/router_utils/test_auto_router_tuning_baseline.py
index f686a62db76..75c115cd3ab 100644
--- a/tests/test_litellm/router_utils/test_auto_router_tuning_baseline.py
+++ b/tests/test_litellm/router_utils/test_auto_router_tuning_baseline.py
@@ -7,6 +7,7 @@ from typing import Final
 
 import pytest
 
+from litellm.router_strategy.complexity_router.config import ComplexityRouterConfig
 from litellm.router_utils.auto_router_tuning_baseline import (
     DEFAULT_TUNING_FINGERPRINT,
     HEURISTIC_V1_TUNING_FIELDS,
@@ -21,6 +22,33 @@ from litellm.router_utils.auto_router_tuning_baseline import (
 
 _TIERS = {"SIMPLE": "cheap", "MEDIUM": "mid", "COMPLEX": "strong", "REASONING": "top"}
 _ALT_TIERS = {**_TIERS, "COMPLEX": "other-strong"}
+_KEYWORD_DIMENSION: Final = {"name": "internalFrameworks", "weight": 0.7, "keywords": ["orbitmesh"]}
+_HISTORICAL_FINGERPRINTS: Final = (
+    ({}, "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a"),
+    (
+        {"custom_dimensions": [_KEYWORD_DIMENSION]},
+        "b5c3c3f3be6341a8a16148d68d9067e03f94ed01a0bbfcde7955763042744372",
+    ),
+    (
+        {"custom_dimensions": [{"name": "sqlDdl", "weight": 0.4, "patterns": [r"\bCREATE\s{1,4}TABLE\b"]}]},
+        "814ce0017fc7f60a160b262f658d910e9bdf784e6139a4ba4f1e2657aa203950",
+    ),
+    (
+        {
+            "tiers": _TIERS,
+            "dimension_weights": {"codePresence": 0.3},
+            "custom_dimensions": [
+                {
+                    "name": "internalFrameworks",
+                    "weight": 0.2,
+                    "keywords": ["orbitmesh", "fluxgate"],
+                    "patterns": [r"\bALTER\s{1,4}TABLE\b"],
+                }
+            ],
+        },
+        "38970dc9224e265ab38c89674563d8d0537822591f9239b45251db6f5ca6cc39",
+    ),
+)
 
 
 def _router(
@@ -77,6 +105,27 @@ class TestTuningFingerprint:
     def test_explicit_empty_tier_model_configs_follow_omission(self) -> None:
         assert tuning_fingerprint({"tier_model_configs": {}}) == DEFAULT_TUNING_FINGERPRINT
 
+    @pytest.mark.parametrize(("config", "fingerprint"), _HISTORICAL_FINGERPRINTS)
+    def test_fingerprints_recorded_before_scoring_mode_existed_are_preserved(
+        self, config: Mapping[str, object], fingerprint: str
+    ) -> None:
+        """Literal hashes captured from the merged implementation at 9bc9104102, before CustomDimension.scoring_mode."""
+        assert tuning_fingerprint(config) == fingerprint
+
+    def test_binary_scoring_mode_hashes_like_its_absence(self) -> None:
+        historical: Final = tuning_fingerprint({"custom_dimensions": [_KEYWORD_DIMENSION]})
+        explicit: Final = tuning_fingerprint({"custom_dimensions": [{**_KEYWORD_DIMENSION, "scoring_mode": "binary"}]})
+        reserialized: Final = ComplexityRouterConfig.model_validate(
+            {"custom_dimensions": [_KEYWORD_DIMENSION]}
+        ).model_dump(mode="json", include={"custom_dimensions"})
+        assert reserialized["custom_dimensions"][0]["scoring_mode"] == "binary"
+        assert reserialized["custom_dimensions"][0]["patterns"] == []
+        assert historical == explicit == tuning_fingerprint(reserialized)
+        assert (
+            tuning_fingerprint({"custom_dimensions": [{**_KEYWORD_DIMENSION, "scoring_mode": "match_count"}]})
+            != historical
+        )
+
     def test_tier_model_overrides_change_the_fingerprint(self) -> None:
         plain = tuning_fingerprint({"tiers": {"SIMPLE": "x"}})
         with_override = tuning_fingerprint(
@@ -218,15 +267,18 @@ class TestQuota:
             is None
         )
 
-    def test_custom_dimension_add_edit_and_revert_share_one_quota_slot(self) -> None:
+    @pytest.mark.parametrize(
+        "edit",
+        [
+            pytest.param({"weight": 0.9}, id="weight"),
+            pytest.param({"scoring_mode": "match_count"}, id="scoring-mode"),
+        ],
+    )
+    def test_custom_dimension_add_edit_and_revert_share_one_quota_slot(self, edit: Mapping[str, object]) -> None:
         baselines: Final = snapshot_tuning_baselines(())
         original: Final = _router("a", {})
-        config: Final = {
-            "custom_dimensions": [{"name": "internalFrameworks", "weight": 0.7, "keywords": ["orbitmesh"]}]
-        }
-        edited_config: Final = {
-            "custom_dimensions": [{"name": "internalFrameworks", "weight": 0.9, "keywords": ["orbitmesh"]}]
-        }
+        config: Final = {"custom_dimensions": [_KEYWORD_DIMENSION]}
+        edited_config: Final = {"custom_dimensions": [{**_KEYWORD_DIMENSION, **edit}]}
         added: Final = _router("a", config)
         edited: Final = _router("a", edited_config)
         second: Final = _router("b", config)
@@ -240,6 +292,13 @@ class TestQuota:
         assert mutable_tuned_identities((original,), baselines) == frozenset()
         assert tuning_quota_violation(candidate=second, others=(original,), baselines=baselines, limit=1) is None
 
+    def test_graded_dimension_recorded_at_snapshot_is_its_own_baseline(self) -> None:
+        graded: Final = _router("a", {"custom_dimensions": [{**_KEYWORD_DIMENSION, "scoring_mode": "match_count"}]})
+        baselines: Final = snapshot_tuning_baselines((graded,))
+        assert mutable_tuned_identities((graded,), baselines) == frozenset()
+        reverted_to_binary: Final = _router("a", {"custom_dimensions": [_KEYWORD_DIMENSION]})
+        assert mutable_tuned_identities((reverted_to_binary,), baselines) == {router_identity(graded)}
+
     def test_violation_message_names_the_limit_and_remedy(self) -> None:
         message = tuning_limit_violation(held=2, limit=1)
         assert message is not None
diff --git a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
index 15cfff01766..111eeebe5a3 100644
--- a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
@@ -44,8 +44,9 @@ import {
 } from "./ComplexityRouterConfig";
 
 const DEFAULT_SCORING_EXPLANATION =
-  "The router scores each request across 7 dimensions: token count, code presence, reasoning markers, technical " +
-  "terms, simple indicators, multi-step patterns, and question complexity. The weighted score determines the tier:";
+  "The router scores each request across 7 built-in dimensions: token count, code presence, reasoning markers, technical " +
+  "terms, simple indicators, multi-step patterns, and question complexity, plus any custom dimensions you add. " +
+  "The weighted score determines the tier:";
 
 const HEURISTIC_V2_EXPLANATION =
   "The router estimates success probability for all four tiers with the bundled calibrated model, then selects " +
diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
index 2970e14b335..0c12cc0ba1a 100644
--- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
@@ -1521,14 +1521,16 @@ describe("ComplexityRouterConfig tier editing", () => {
     renderWithProviders(<ComplexityRouterConfig {...baseProps} value={customValue} onEditingTiersChange={vi.fn()} />);
     fireEvent.click(screen.getByText("Advanced: Classification Method"));
     expect(screen.queryByText("How Classification Works")).not.toBeInTheDocument();
-    expect(screen.queryByText("scores each request across 7 dimensions", { exact: false })).not.toBeInTheDocument();
+    expect(
+      screen.queryByText("scores each request across 7 built-in dimensions", { exact: false }),
+    ).not.toBeInTheDocument();
   });
 
   it("keeps the scorer card on a built-in router, whose tiers the score still decides", () => {
     renderWithProviders(<ComplexityRouterConfig {...baseProps} onEditingTiersChange={vi.fn()} />);
     fireEvent.click(screen.getByText("Advanced: Classification Method"));
     expect(screen.getByText("How Classification Works")).toBeInTheDocument();
-    expect(screen.getByText("scores each request across 7 dimensions", { exact: false })).toBeInTheDocument();
+    expect(screen.getByText("scores each request across 7 built-in dimensions", { exact: false })).toBeInTheDocument();
   });
 
   it("says why a custom row is blocked instead of only reddening its border", () => {
diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
index d7df6ce33bb..de80e714e66 100644
--- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.tsx
@@ -50,6 +50,7 @@ import EscalationKeywords from "./EscalationKeywords";
 import KeywordTierRules, { KeywordTierRule } from "./KeywordTierRules";
 import SemanticKeywordMatching from "./SemanticKeywordMatching";
 import { type DimensionWeights, type TierBoundaries, type TokenThresholds } from "./heuristic_scoring_knobs";
+import { type CustomDimensionRow } from "./custom_dimensions";
 import CompressionControls from "./CompressionControls";
 import { type AutoRouterCompressionState, DEFAULT_AUTO_ROUTER_COMPRESSION } from "./buildAutoRouterCompression";
 
@@ -432,6 +433,11 @@ export interface ComplexityRouterConfigValue {
   tier_boundaries?: TierBoundaries;
   token_thresholds?: TokenThresholds;
   dimension_weights?: DimensionWeights;
+  /**
+   * Operator-added scoring dimensions, each carrying its own inline weight. Undefined means the router has
+   * none and keeps the key out of the payload; an empty array is a real "the last row was removed" state.
+   */
+  custom_dimensions?: CustomDimensionRow[];
   /**
    * Score floor the reasoning-marker override must clear. Undefined keeps the key out of the payload, so the
    * floor tracks tier_boundaries.simple_medium; an explicit 0 is a real floor that promotes on the markers alone.
diff --git a/ui/litellm-dashboard/src/components/add_model/CustomDimensionRows.tsx b/ui/litellm-dashboard/src/components/add_model/CustomDimensionRows.tsx
new file mode 100644
index 00000000000..34d8370aafb
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/CustomDimensionRows.tsx
@@ -0,0 +1,136 @@
+import { Trash2 } from "lucide-react";
+import { useState } from "react";
+import { Button } from "@/components/ui/button";
+import { Input } from "@/components/ui/input";
+import { Label } from "@/components/ui/label";
+import { Textarea } from "@/components/ui/textarea";
+import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
+import { Slider } from "@/components/ui/slider";
+import type { CustomDimensionRow } from "./custom_dimensions";
+
+const SCORING_MODES = [
+  { value: "binary", label: "Binary" },
+  { value: "match_count", label: "Match count" },
+] as const;
+
+interface Props {
+  rows: CustomDimensionRow[];
+  disabled: boolean;
+  onChange: (rows: CustomDimensionRow[]) => void;
+  onWeight: (id: string, weight: number) => void;
+  onAdd: () => void;
+  onRemove: (id: string) => void;
+}
+
+export default function CustomDimensionRows({ rows, disabled, onChange, onWeight, onAdd, onRemove }: Props) {
+  const [draft, setDraft] = useState<{ id: string; raw: string } | null>(null);
+  const update = (id: string, patch: Partial<CustomDimensionRow>) =>
+    onChange(rows.map((row) => (row.id === id ? { ...row, ...patch } : row)));
+  const editWeight = (id: string, raw: string) => {
+    setDraft({ id, raw });
+    if (raw.trim() && Number.isFinite(Number(raw))) onWeight(id, Number(raw));
+  };
+  return (
+    <div className="space-y-4">
+      {rows.map((row, index) => (
+        <fieldset key={row.id} className="min-w-0 space-y-3 rounded-md border p-3">
+          <legend className="float-left text-sm font-semibold">Custom dimension {index + 1}</legend>
+          <div className="flex items-center gap-2">
+            <Button
+              type="button"
+              variant="ghost"
+              size="sm"
+              className="text-destructive hover:text-destructive/80"
+              aria-label={`Remove custom dimension ${index + 1}`}
+              disabled={disabled}
+              onClick={() => onRemove(row.id)}
+            >
+              <Trash2 />
+              Remove
+            </Button>
+          </div>
+          <div className="space-y-1">
+            <Label htmlFor={`${row.id}-name`}>Name</Label>
+            <Input
+              id={`${row.id}-name`}
+              value={row.name}
+              maxLength={64}
+              onChange={(event) => update(row.id, { name: event.target.value })}
+            />
+          </div>
+          <div className="flex flex-wrap items-center gap-3">
+            <Label htmlFor={`${row.id}-weight`}>Weight</Label>
+            <Slider
+              min={0}
+              max={1}
+              step={0.01}
+              disabled={disabled}
+              value={[row.weight]}
+              className="min-w-24 flex-1"
+              aria-label={`${row.name || `Custom dimension ${index + 1}`} weight`}
+              onValueChange={(value) => onWeight(row.id, Array.isArray(value) ? value[0] : value)}
+            />
+            <Input
+              id={`${row.id}-weight`}
+              className="w-24"
+              inputMode="decimal"
+              disabled={disabled}
+              value={draft?.id === row.id ? draft.raw : Number(row.weight.toPrecision(6)).toString()}
+              onBlur={() => setDraft(null)}
+              onChange={(event) => editWeight(row.id, event.target.value)}
+            />
+          </div>
+          <div className="grid grid-cols-1 gap-3 sm:grid-cols-2">
+            {(["keywords", "patterns"] as const).map((field) => (
+              <div key={field} className="min-w-0 space-y-1">
+                <Label htmlFor={`${row.id}-${field}`}>
+                  {field === "keywords" ? "Keywords" : "Regex patterns"} (one per line)
+                </Label>
+                <Textarea
+                  id={`${row.id}-${field}`}
+                  rows={2}
+                  value={row[field]?.join("\n") ?? ""}
+                  onChange={(event) =>
+                    update(row.id, { [field]: event.target.value ? event.target.value.split("\n") : [] })
+                  }
+                />
+              </div>
+            ))}
+          </div>
+          <div className="space-y-1">
+            <Label htmlFor={`${row.id}-scoring`}>Scoring</Label>
+            <Select
+              items={SCORING_MODES}
+              value={row.scoring_mode ?? "binary"}
+              onValueChange={(mode) => {
+                if (mode === "binary" || mode === "match_count") update(row.id, { scoring_mode: mode });
+              }}
+            >
+              <SelectTrigger id={`${row.id}-scoring`}>
+                <SelectValue />
+              </SelectTrigger>
+              <SelectContent>
+                {SCORING_MODES.map((mode) => (
+                  <SelectItem key={mode.value} value={mode.value}>
+                    {mode.label}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+            <p className="text-xs text-muted-foreground">
+              Binary uses the full weight for any hit. Match count uses half for one distinct matcher and full weight
+              for two or more.
+            </p>
+          </div>
+        </fieldset>
+      ))}
+      <Button type="button" variant="outline" size="sm" disabled={disabled || rows.length >= 16} onClick={onAdd}>
+        Add custom dimension
+      </Button>
+      <p className="text-xs text-muted-foreground">
+        Keywords match the current ask. Regex scans its first 2,048 characters and permits bounded single-character
+        repeats up to 64. The proxy validates patterns on save.
+      </p>
+    </div>
+  );
+}
diff --git a/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.integration.test.tsx
new file mode 100644
index 00000000000..9c4600e3b97
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.integration.test.tsx
@@ -0,0 +1,90 @@
+import { useState } from "react";
+import { beforeEach, describe, expect, it, vi } from "vitest";
+import userEvent from "@testing-library/user-event";
+import { fireEvent, renderWithProviders, screen, testQueryClient, chooseSelectOption } from "../../../tests/test-utils";
+import { SHIPPED_SCORER_DEFAULTS } from "../../../tests/mocks/complexityScorerDefaults";
+import HeuristicScoringConfig from "./HeuristicScoringConfig";
+import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
+import { getComplexityScorerDefaults } from "@/components/networking";
+
+vi.mock("@/components/networking", () => ({ getComplexityScorerDefaults: vi.fn() }));
+
+const base: ComplexityRouterConfigValue = {
+  classifier_type: "heuristic",
+  tiers: { SIMPLE: [], MEDIUM: [], COMPLEX: [], REASONING: [] },
+};
+function Editor({ initial = base }: { initial?: ComplexityRouterConfigValue }) {
+  const [value, setValue] = useState(initial);
+  return (
+    <>
+      <HeuristicScoringConfig value={value} onChange={setValue} />
+      <output aria-label="Draft config">{JSON.stringify(value)}</output>
+    </>
+  );
+}
+const draft = (): ComplexityRouterConfigValue => JSON.parse(screen.getByLabelText("Draft config").textContent!);
+
+beforeEach(() => {
+  testQueryClient.clear();
+  vi.mocked(getComplexityScorerDefaults).mockResolvedValue(SHIPPED_SCORER_DEFAULTS);
+});
+
+describe("combined heuristic editor", () => {
+  it("adds and edits a graded dimension, rebalances builtins, preserves matcher-only edits, and removes it", async () => {
+    const user = userEvent.setup();
+    renderWithProviders(<Editor />);
+    await user.click(screen.getByText("Advanced scoring"));
+    expect(await screen.findByRole("button", { name: "Restore default weights" })).toBeDisabled();
+    await user.click(screen.getByRole("button", { name: "Add custom dimension" }));
+    expect(screen.getByRole("button", { name: "Restore default weights" })).toBeEnabled();
+    expect(draft().dimension_weights?.codePresence).toBeCloseTo(0.27, 12);
+    expect(draft().custom_dimensions?.[0].scoring_mode).toBe("match_count");
+    expect(screen.getByRole("group", { name: "Custom dimension 1" })).toContainElement(
+      screen.getByLabelText("Name", { exact: true }),
+    );
+    fireEvent.change(screen.getByLabelText("Name", { exact: true }), { target: { value: "domain" } });
+    fireEvent.change(screen.getByLabelText("Keywords (one per line)"), { target: { value: "orbitmesh\nfluxgate" } });
+    fireEvent.change(screen.getByLabelText("Weight", { exact: true }), { target: { value: "0.2" } });
+    expect(screen.getByLabelText("Code presence", { exact: true })).toHaveValue("0.24");
+    expect(screen.getByTestId("dimension-weight-total")).toHaveTextContent("total 1.00");
+    const beforeMatchers = draft().dimension_weights;
+    fireEvent.change(screen.getByLabelText("Regex patterns (one per line)"), { target: { value: "abc" } });
+    await chooseSelectOption(user, screen.getByLabelText("Scoring"), "Binary");
+    expect(draft().dimension_weights).toEqual(beforeMatchers);
+    expect(draft().custom_dimensions?.[0].scoring_mode).toBe("binary");
+    await user.click(screen.getByRole("button", { name: "Remove custom dimension 1" }));
+    expect(draft().custom_dimensions).toBeUndefined();
+    expect(draft().dimension_weights?.codePresence).toBeCloseTo(0.3, 12);
+  });
+
+  it("preserves a legacy vector on load and resets both fields only when requested", async () => {
+    const legacy = {
+      ...base,
+      dimension_weights: { codePresence: 0.4 },
+      custom_dimensions: [{ id: "stored-0", name: "domain", weight: 0.7, keywords: ["a"] }],
+    };
+    renderWithProviders(<Editor initial={legacy} />);
+    await userEvent.click(screen.getByText("Advanced scoring"));
+    expect(await screen.findByTestId("dimension-weight-total")).toHaveTextContent("total 1.10");
+    expect(draft()).toEqual(legacy);
+    expect(screen.getByLabelText("Token count", { exact: true })).toHaveValue("0");
+    await userEvent.click(screen.getByRole("button", { name: "Restore default weights" }));
+    expect(draft().custom_dimensions).toBeUndefined();
+    expect(draft().dimension_weights).toBeUndefined();
+  });
+
+  it("drops hidden custom drafts on a fallback-only weight edit so switching back cannot exceed the budget", async () => {
+    const initial: ComplexityRouterConfigValue = {
+      ...base,
+      classifier_type: "llm",
+      classifier_fallback: "heuristic",
+      custom_dimensions: [{ id: "a", name: "domain", weight: 0.7, keywords: ["a"] }],
+    };
+    renderWithProviders(<Editor initial={initial} />);
+    await userEvent.click(screen.getByText("Advanced scoring"));
+    fireEvent.change(await screen.findByLabelText("Code presence", { exact: true }), { target: { value: "0.5" } });
+    expect(draft().custom_dimensions).toBeUndefined();
+    expect(Object.values(draft().dimension_weights!).reduce((sum, weight) => sum + weight, 0)).toBeCloseTo(1, 12);
+    expect(screen.queryByRole("button", { name: "Add custom dimension" })).not.toBeInTheDocument();
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.test.tsx b/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.test.tsx
index f5fb32bb654..61779318fff 100644
--- a/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.test.tsx
@@ -69,13 +69,12 @@ describe("HeuristicScoringConfig", () => {
     expect(onChange).not.toHaveBeenCalled();
   });
 
-  // min and max are inert attributes on a text input, so without the explicit clamp these would persist
-  // a weight of 999, or an infinite boundary, into the router config.
-  it.each([
-    ["Code presence", "999", 1],
-    ["Code presence", "-2", 0],
-    ["Long above", "100000", 100000],
-  ])("clamps %s = %s to %s", async (label, raw, expected) => {
+  it.each(["999", "-2"])("rejects an invalid weight %s instead of silently clamping", async (raw) => {
+    expect(await commit("Code presence", raw)).toBeUndefined();
+    expect(screen.getByRole("alert")).toHaveTextContent("Use a weight from 0 to 1");
+  });
+
+  it.each([["Long above", "100000", 100000]])("clamps %s = %s to %s", async (label, raw, expected) => {
     const next = await commit(label, raw);
     expect(
       { ...next?.dimension_weights, ...next?.token_thresholds }[label === "Long above" ? "complex" : "codePresence"],
@@ -264,6 +263,7 @@ describe("HeuristicScoringConfig degraded states", () => {
     await userEvent.click(screen.getByText("Advanced scoring"));
 
     expect(screen.getByLabelText("Code presence")).toHaveValue("0.5");
+    expect(screen.getByLabelText("Code presence")).toBeDisabled();
     expect(screen.queryByTestId("dimension-weight-total")).not.toBeInTheDocument();
   });
 });
diff --git a/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.tsx b/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.tsx
index 540beff8177..4d59ac5bd33 100644
--- a/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/HeuristicScoringConfig.tsx
@@ -8,7 +8,14 @@ import { Input } from "@/components/ui/input";
 import { Label } from "@/components/ui/label";
 import { Slider } from "@/components/ui/slider";
 import { type ComplexityRouterConfigValue, heuristicScoringRole } from "./ComplexityRouterConfig";
-import { dimensionLabel, weightTotal } from "./heuristic_scoring_knobs";
+import {
+  dimensionLabel,
+  effectiveDimensionWeights,
+  rebalanceDimensionWeights,
+  type WeightEdit,
+} from "./heuristic_scoring_knobs";
+import CustomDimensionRows from "./CustomDimensionRows";
+import { customDimensionsError } from "./custom_dimensions";
 
 export type KnobGroup = "tier_boundaries" | "token_thresholds" | "dimension_weights";
 
@@ -54,7 +61,8 @@ const GROUPS: GroupSpec[] = [
   {
     group: "dimension_weights",
     title: "Dimension weights",
-    blurb: "How much each signal contributes to the score. Absolute multipliers, so the total need not be 1.00.",
+    blurb:
+      "Changing a weight rebalances the other built-in and custom weights to total 1.00. Save stores those values. Untouched routers keep their existing weights.",
     min: 0,
     max: 1,
     step: 0.01,
@@ -89,6 +97,19 @@ const HeuristicScoringConfig: React.FC<HeuristicScoringConfigProps> = ({ value,
   // The panel owns its own visibility: the scorer does not run at all when an LLM classifier
   // falls back to the default model, so there is nothing here to configure.
   const scorerRuns = heuristicScoringRole(value) !== "never";
+  const customEnabled = heuristicScoringRole(value) === "decides";
+  const customRows = customEnabled ? value.custom_dimensions : undefined;
+  const [weightError, setWeightError] = useState<string | null>(null);
+  const rowError = customDimensionsError(customRows);
+  const changeWeights = (edit: WeightEdit) => {
+    const result = rebalanceDimensionWeights(defaults?.dimension_weights, value.dimension_weights, customRows, edit);
+    if (!result.ok) {
+      setWeightError(result.error);
+      return;
+    }
+    setWeightError(null);
+    onChange({ ...value, dimension_weights: result.dimension_weights, custom_dimensions: result.custom_dimensions });
+  };
 
   // What an untouched override floor follows: the boundary in effect, override included, not the shipped one.
   const trackedFloor: number | undefined = { ...defaults?.tier_boundaries, ...value.tier_boundaries }.simple_medium;
@@ -102,6 +123,10 @@ const HeuristicScoringConfig: React.FC<HeuristicScoringConfigProps> = ({ value,
   const commit = (spec: GroupSpec, effective: Record<string, number>, key: string, raw: string) => {
     const parsed = Number(raw);
     if (raw.trim() === "" || !Number.isFinite(parsed)) return;
+    if (spec.group === "dimension_weights") {
+      changeWeights({ type: "set", target: { kind: "builtin", id: key }, weight: parsed });
+      return;
+    }
     const clamped = Math.min(spec.max ?? Infinity, Math.max(spec.min, parsed));
     onChange({
       ...value,
@@ -154,9 +179,19 @@ const HeuristicScoringConfig: React.FC<HeuristicScoringConfigProps> = ({ value,
                 </div>
               )}
               {GROUPS.map((spec) => {
-                const shipped = defaults?.[spec.group] ?? {};
-                const effective: Record<string, number> = { ...shipped, ...value[spec.group] };
+                const shipped = defaults?.[spec.group] ?? value[spec.group] ?? {};
+                const effective: Record<string, number> =
+                  spec.group === "dimension_weights"
+                    ? effectiveDimensionWeights(shipped, value.dimension_weights)
+                    : { ...shipped, ...value[spec.group] };
+                const total =
+                  Object.values(effective).reduce((sum, weight) => sum + weight, 0) +
+                  (customRows ?? []).reduce((sum, row) => sum + row.weight, 0);
                 const problem = warn(spec.group, effective);
+                const overridden =
+                  value[spec.group] !== undefined || (spec.withSlider && value.custom_dimensions !== undefined);
+                const resettable = spec.withSlider || overridden;
+                const scoringError = spec.withSlider ? weightError || rowError : null;
                 return (
                   <section key={spec.group} className="space-y-2">
                     <div className="flex items-center justify-between">
@@ -166,18 +201,26 @@ const HeuristicScoringConfig: React.FC<HeuristicScoringConfigProps> = ({ value,
                             alone would state a total that is not the router's. */}
                         {spec.withSlider && defaults !== undefined && (
                           <span className="text-xs text-muted-foreground" data-testid="dimension-weight-total">
-                            total {weightTotal(effective).toFixed(2)}
+                            total {total.toFixed(2)}
                           </span>
                         )}
                       </div>
-                      {value[spec.group] !== undefined && (
+                      {resettable && (
                         <Button
                           type="button"
                           variant="link"
                           size="xs"
-                          onClick={() => onChange({ ...value, [spec.group]: undefined })}
+                          disabled={!overridden}
+                          onClick={() => {
+                            setWeightError(null);
+                            onChange({
+                              ...value,
+                              [spec.group]: undefined,
+                              ...(spec.withSlider && { custom_dimensions: undefined }),
+                            });
+                          }}
                         >
-                          Reset to defaults
+                          {spec.withSlider ? "Restore default weights" : "Reset to defaults"}
                         </Button>
                       )}
                     </div>
@@ -196,6 +239,7 @@ const HeuristicScoringConfig: React.FC<HeuristicScoringConfigProps> = ({ value,
                               min={spec.min}
                               max={spec.max}
                               step={spec.step}
+                              disabled={defaults === undefined}
                               value={[effective[key]]}
                               onValueChange={(next) =>
                                 commit(spec, effective, key, String(Array.isArray(next) ? next[0] : next))
@@ -209,7 +253,8 @@ const HeuristicScoringConfig: React.FC<HeuristicScoringConfigProps> = ({ value,
                             type="text"
                             inputMode="decimal"
                             className={spec.withSlider ? "w-24" : "w-28"}
-                            value={draft?.id === id ? draft.raw : String(effective[key])}
+                            disabled={spec.withSlider && defaults === undefined}
+                            value={draft?.id === id ? draft.raw : Number(effective[key].toPrecision(6)).toString()}
                             onChange={(event) => {
                               setDraft({ id, raw: event.target.value });
                               commit(spec, effective, key, event.target.value);
@@ -220,6 +265,28 @@ const HeuristicScoringConfig: React.FC<HeuristicScoringConfigProps> = ({ value,
                       );
                     })}
 
+                    {spec.withSlider && customEnabled && (
+                      <CustomDimensionRows
+                        rows={customRows ?? []}
+                        disabled={defaults === undefined}
+                        onChange={(rows) => onChange({ ...value, custom_dimensions: rows })}
+                        onWeight={(id, weight) =>
+                          changeWeights({ type: "set", target: { kind: "custom", id }, weight })
+                        }
+                        onAdd={() =>
+                          changeWeights({
+                            type: "add",
+                            row: { id: crypto.randomUUID(), name: "", weight: 0.1, scoring_mode: "match_count" },
+                          })
+                        }
+                        onRemove={(id) => changeWeights({ type: "remove", id })}
+                      />
+                    )}
+                    {scoringError && (
+                      <p className="text-xs text-destructive" role="alert">
+                        {scoringError}
+                      </p>
+                    )}
                     {problem && (
                       <p className="text-xs font-medium text-destructive" role="alert">
                         {problem}
diff --git a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
index 2d0d6bc2fd8..cf65a093dfb 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx
@@ -25,12 +25,14 @@ import ComplexityRouterConfig, {
   ComplexityRouterConfigValue,
   effectiveClassifierType,
   usesLlmClassifier,
+  heuristicScoringRole,
   DEFAULT_ADAPTIVE_WEIGHTS,
   DEFAULT_SESSION_AFFINITY,
   DEFAULT_DEPLOYMENT_AFFINITY,
   DEFAULT_TIER_DISTANCE_PENALTY,
 } from "./ComplexityRouterConfig";
 import { KeywordTierRule } from "./KeywordTierRules";
+import { customDimensionsError } from "./custom_dimensions";
 import { DEFAULT_ESCALATION_KEYWORDS } from "./EscalationKeywords";
 import {
   type AutoRouterCompressionState,
@@ -139,6 +141,7 @@ export const getSubmitBlockedReason = (
     getPlanModeTierError(config.plan_mode_min_tier, activeTierRows(config)) ??
     getKeywordTierRulesError(keywordTierRules, activeTierRows(config)) ??
     getClassifierModelError(config) ??
+    (heuristicScoringRole(config) === "decides" ? customDimensionsError(config.custom_dimensions) : null) ??
     getClassifierReasoningEffortError(config, modelInfo) ??
     getReferencedModelsError(referencedModelsParams, availability)
   );
@@ -411,6 +414,7 @@ const AddAutoRouterTab: React.FC<AddAutoRouterTabProps> = ({
     tierBoundaries: complexityRouterConfig.tier_boundaries,
     tokenThresholds: complexityRouterConfig.token_thresholds,
     dimensionWeights: complexityRouterConfig.dimension_weights,
+    customDimensions: complexityRouterConfig.custom_dimensions,
     reasoningOverrideMinScore: complexityRouterConfig.reasoning_override_min_score,
     enableContextWindowEscalation: complexityRouterConfig.enable_context_window_escalation,
     contextWindowEscalationBuffer: complexityRouterConfig.context_window_escalation_buffer,
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
index baf04822e4f..9973aec7616 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.test.ts
@@ -704,6 +704,49 @@ describe("buildComplexityRouterConfig scorer knobs", () => {
     expect(buildComplexityRouterConfig(tuned).tier_boundaries).toEqual(BOUNDARIES);
   });
 
+  it("serializes custom rows without changing weights, matcher order, or optional-field absence", () => {
+    const weights = { codePresence: 0.12345678901234568, unknownStoredWeight: 9 };
+    const dimension = { name: "internalFrameworks", weight: 0.3765432109876543, keywords: ["ORBITMESH", "fluxgate"] };
+    const graded = { name: "sqlDdl", weight: 0.5, patterns: ["create table"], scoring_mode: "match_count" as const };
+    const payload = buildComplexityRouterConfig({
+      ...baseParams,
+      dimensionWeights: weights,
+      customDimensions: [
+        { id: "row-1", ...dimension },
+        { id: "row-2", ...graded },
+      ],
+    });
+    expect(payload.dimension_weights).toEqual(weights);
+    expect(payload.custom_dimensions).toEqual([dimension, graded]);
+    expect(buildComplexityRouterConfig(baseParams)).not.toHaveProperty("custom_dimensions");
+    expect(buildComplexityRouterConfig({ ...baseParams, customDimensions: [] }).custom_dimensions).toEqual([]);
+  });
+
+  it.each([
+    ["heuristic", undefined, true],
+    ["heuristic_first", "heuristic", true],
+    ["hybrid", "heuristic", true],
+    ["llm", "heuristic", false],
+    ["custom", "heuristic", false],
+    ["llm", "default_model", false],
+    ["custom", "default_model", false],
+    ["heuristic_v2", undefined, false],
+  ] as const)(
+    "%s with fallback %s only emits custom dimensions when its scorer decides",
+    (classifierType, classifierFallback, emits) => {
+      const dimension = { name: "d", weight: 0.4, keywords: ["orbitmesh"] };
+      const params = {
+        ...baseParams,
+        classifierType,
+        classifierFallback,
+        customDimensions: [{ id: "row", ...dimension }],
+      };
+      const payload = buildComplexityRouterConfig(params);
+      if (emits) expect(payload.custom_dimensions).toEqual([dimension]);
+      else expect(payload).not.toHaveProperty("custom_dimensions");
+    },
+  );
+
   it("drops them when the classifier falls back to the default model and nothing is scored", () => {
     expect(buildComplexityRouterConfig(llmWithDefaultFallback)).not.toHaveProperty("tier_boundaries");
   });
@@ -1060,6 +1103,7 @@ describe("buildComplexityRouterConfig with an edited tier set", () => {
       tierBoundaries: { simple_medium: 0.1, medium_complex: 0.25, complex_reasoning: 0.5 },
       tokenThresholds: { short: 1, long: 2 },
       dimensionWeights: { length: 1 },
+      customDimensions: [{ id: "row-1", name: "sqlDdl", weight: 0.4, keywords: ["orbitmesh"] }],
       reasoningOverrideMinScore: 0.5,
       heuristicFirstMaxTier: "SIMPLE",
       hybridBoundaryMargin: 0.03,
@@ -1068,7 +1112,8 @@ describe("buildComplexityRouterConfig with an edited tier set", () => {
       stallEscalationWindow: 6,
       stallEscalationRepeatThreshold: 3,
     };
-    const emittingType = key === "heuristic_first_max_tier" ? "heuristic_first" : "llm";
+    // custom_dimensions only ever ship when the scorer decides, so "llm" cannot prove it emits.
+    const emittingType = key === "heuristic_first_max_tier" || key === "custom_dimensions" ? "heuristic_first" : "llm";
     const typeForKey = key === "hybrid_boundary_margin" ? "hybrid" : emittingType;
     expect(buildComplexityRouterConfig({ ...baseParams, ...loaded, classifierType: typeForKey })).toHaveProperty(key);
     expect(build(loaded)).not.toHaveProperty(key);
diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
index 7769fb832fe..d04d48198a8 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
@@ -11,6 +11,7 @@ import {
   tierRowByName,
 } from "./tier_rows";
 import { emptyKeywordTierRuleIndexes, serializeKeywordTierRules } from "./complexity_router_keywords";
+import { type CustomDimension, type CustomDimensionRow, serializeCustomDimensions } from "./custom_dimensions";
 import {
   TierModelParams,
   TierModelParamsByTier,
@@ -92,6 +93,7 @@ interface ScorerKnobInputs {
   tierBoundaries: TierBoundaries | undefined;
   tokenThresholds: TokenThresholds | undefined;
   dimensionWeights: DimensionWeights | undefined;
+  customDimensions: CustomDimensionRow[] | undefined;
   reasoningOverrideMinScore: number | undefined;
 }
 
@@ -106,16 +108,23 @@ const scorerKnobPayload = ({
   tierBoundaries,
   tokenThresholds,
   dimensionWeights,
+  customDimensions,
   reasoningOverrideMinScore,
-}: ScorerKnobInputs) =>
-  heuristicScoringRoleFor(classifierType, classifierFallback) === "never"
+}: ScorerKnobInputs) => {
+  const role = heuristicScoringRoleFor(classifierType, classifierFallback);
+  return role === "never"
     ? {}
     : {
         ...(tierBoundaries && { tier_boundaries: tierBoundaries }),
         ...(tokenThresholds && { token_thresholds: tokenThresholds }),
         ...(dimensionWeights && { dimension_weights: dimensionWeights }),
+        // Only a scorer that decides accepts these; the backend rejects them on every other
+        // classifier, so a fallback-only router must not carry rows a switch left behind.
+        ...(role === "decides" &&
+          customDimensions !== undefined && { custom_dimensions: serializeCustomDimensions(customDimensions) }),
         ...(reasoningOverrideMinScore !== undefined && { reasoning_override_min_score: reasoningOverrideMinScore }),
       };
+};
 
 export interface BuildComplexityRouterConfigParams {
   tiers: ComplexityTiers;
@@ -155,6 +164,7 @@ export interface BuildComplexityRouterConfigParams {
   tierBoundaries?: TierBoundaries;
   tokenThresholds?: TokenThresholds;
   dimensionWeights?: DimensionWeights;
+  customDimensions?: CustomDimensionRow[];
   reasoningOverrideMinScore?: number;
   tierModelParams?: TierModelParamsByTier;
   enableContextWindowEscalation?: boolean;
@@ -219,6 +229,7 @@ export interface ComplexityRouterConfigPayload {
   tier_boundaries?: TierBoundaries;
   token_thresholds?: TokenThresholds;
   dimension_weights?: DimensionWeights;
+  custom_dimensions?: CustomDimension[];
   reasoning_override_min_score?: number;
   enable_context_window_escalation?: boolean;
   context_window_escalation_buffer?: number;
@@ -496,6 +507,7 @@ export const buildComplexityRouterConfig = ({
   tierBoundaries,
   tokenThresholds,
   dimensionWeights,
+  customDimensions,
   reasoningOverrideMinScore,
   tierModelParams,
   enableContextWindowEscalation,
@@ -517,6 +529,7 @@ export const buildComplexityRouterConfig = ({
     tierBoundaries,
     tokenThresholds,
     dimensionWeights,
+    customDimensions,
     reasoningOverrideMinScore,
   };
   const scorerKnobs = scorerKnobPayload(scorerInputs);
diff --git a/ui/litellm-dashboard/src/components/add_model/custom_dimensions.test.ts b/ui/litellm-dashboard/src/components/add_model/custom_dimensions.test.ts
new file mode 100644
index 00000000000..3c6060fd083
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/custom_dimensions.test.ts
@@ -0,0 +1,41 @@
+import { describe, expect, it } from "vitest";
+import { customDimensionsError, hydrateCustomDimensions, serializeCustomDimensions } from "./custom_dimensions";
+
+describe("custom dimension drafts", () => {
+  it.each([
+    [[{ name: "domain", weight: 0.2, keywords: [" orbitmesh "] }]],
+    [[{ name: "domain", weight: 0.2, patterns: ["abc"], keywords: [], scoring_mode: "binary" }]],
+    [[{ name: "domain", weight: 0.2, keywords: ["a", "b"], scoring_mode: "match_count" }]],
+    [[]],
+  ])("round-trips stored optional fields and matcher text without normalization: %j", (raw) => {
+    const rows = hydrateCustomDimensions(raw);
+    expect(rows).toBeDefined();
+    expect(serializeCustomDimensions(rows!)).toEqual(raw);
+  });
+
+  it("does not insert a default mode or custom list on load", () => {
+    expect(hydrateCustomDimensions(undefined)).toBeUndefined();
+    const rows = hydrateCustomDimensions([{ name: "domain", weight: 0.2, keywords: ["a"] }])!;
+    expect(rows[0].scoring_mode).toBeUndefined();
+    expect(customDimensionsError(rows)).toBeNull();
+  });
+
+  it.each([
+    { name: "", weight: 0.2, keywords: ["a"] },
+    { name: "codePresence", weight: 0.2, keywords: ["a"] },
+    { name: "bad name", weight: 0.2, keywords: ["a"] },
+    { name: "domain", weight: 0, keywords: ["a"] },
+    { name: "domain", weight: 0.2, keywords: [] },
+    { name: "domain", weight: 0.2, keywords: [" "] },
+    { name: "domain", weight: 0.2, keywords: ["a".repeat(257)] },
+  ])("rejects an invalid draft %j", (row) => {
+    expect(customDimensionsError([{ ...row, id: "draft" }])).not.toBeNull();
+  });
+
+  it("rejects duplicate names and aggregate matcher limits", () => {
+    const row = { id: "a", name: "domain", weight: 0.2, keywords: ["a"] };
+    expect(customDimensionsError([row, { ...row, id: "b", name: "DOMAIN" }])).not.toBeNull();
+    expect(customDimensionsError([{ ...row, keywords: Array(33).fill("a") }])).not.toBeNull();
+    expect(customDimensionsError([{ ...row, keywords: Array(32).fill("a".repeat(256)) }])).not.toBeNull();
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/add_model/custom_dimensions.ts b/ui/litellm-dashboard/src/components/add_model/custom_dimensions.ts
new file mode 100644
index 00000000000..8cf5a16c303
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/custom_dimensions.ts
@@ -0,0 +1,54 @@
+import { z } from "zod";
+import { DIMENSION_LABELS } from "./heuristic_scoring_knobs";
+
+const customDimensionShape = {
+  name: z.string(),
+  weight: z.number(),
+  keywords: z.array(z.string()).optional(),
+  patterns: z.array(z.string()).optional(),
+  scoring_mode: z.enum(["binary", "match_count"]).optional(),
+};
+const customDimensionSchema = z.object(customDimensionShape);
+
+export type CustomDimension = z.infer<typeof customDimensionSchema>;
+export type CustomDimensionRow = CustomDimension & { id: string };
+
+export const hydrateCustomDimensions = (raw: unknown): CustomDimensionRow[] | undefined => {
+  if (raw === undefined) return undefined;
+  const parsed = z.array(customDimensionSchema).safeParse(raw);
+  return parsed.success ? parsed.data.map((row, index) => ({ ...row, id: `stored-${index}` })) : undefined;
+};
+
+export const serializeCustomDimensions = (rows: CustomDimensionRow[]): CustomDimension[] =>
+  rows.map(({ id: _id, ...dimension }) => dimension);
+
+export const customDimensionsError = (
+  rows: CustomDimensionRow[] | undefined,
+  builtinNames: string[] = Object.keys(DIMENSION_LABELS),
+): string | null => {
+  if (!rows) return null;
+  if (rows.length > 16) return "A router can have at most 16 custom dimensions";
+  const names = rows.map((row) => row.name.toLowerCase());
+  for (const [index, row] of rows.entries()) {
+    const prefix = `Custom dimension ${index + 1}: `;
+    if (!/^[A-Za-z][A-Za-z0-9_]{0,63}$/.test(row.name))
+      return (
+        prefix + "use a name starting with a letter, followed by letters, numbers or underscores (64 characters max)"
+      );
+    if (builtinNames.some((name) => name.toLowerCase() === row.name.toLowerCase()))
+      return prefix + "choose a name that is not already a built-in weight";
+    if (names.indexOf(row.name.toLowerCase()) !== index) return prefix + "names must be unique";
+    if (!Number.isFinite(row.weight) || row.weight <= 0 || row.weight > 1)
+      return prefix + "weight must be greater than 0 and at most 1";
+    const matchers = [...(row.keywords ?? []), ...(row.patterns ?? [])];
+    if (!matchers.length || matchers.some((matcher) => !matcher.trim()))
+      return prefix + "add at least one nonblank keyword or pattern";
+    if (
+      matchers.length > 32 ||
+      matchers.some((matcher) => [...matcher].length > 256) ||
+      matchers.reduce((total, matcher) => total + [...matcher].length, 0) > 4096
+    )
+      return prefix + "use at most 32 matchers, 256 characters each and 4096 characters combined";
+  }
+  return null;
+};
diff --git a/ui/litellm-dashboard/src/components/add_model/heuristic_scoring_knobs.test.ts b/ui/litellm-dashboard/src/components/add_model/heuristic_scoring_knobs.test.ts
index ee1d819872b..ea785ddb594 100644
--- a/ui/litellm-dashboard/src/components/add_model/heuristic_scoring_knobs.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/heuristic_scoring_knobs.test.ts
@@ -3,6 +3,8 @@ import { describe, expect, it } from "vitest";
 import { heuristicScoringRoleFor } from "./ComplexityRouterConfig";
 import {
   dimensionLabel,
+  effectiveDimensionWeights,
+  rebalanceDimensionWeights,
   hydrateDimensionWeights,
   hydrateReasoningOverrideMinScore,
   hydrateTierBoundaries,
@@ -68,6 +70,123 @@ describe("hydrating the scorer knobs", () => {
   });
 });
 
+describe("rebalancing the complete weight vector", () => {
+  const defaults = {
+    codePresence: 0.3,
+    reasoningMarkers: 0.25,
+    technicalTerms: 0.25,
+    tokenCount: 0.1,
+    simpleIndicators: 0.05,
+    multiStepPatterns: 0.03,
+    questionComplexity: 0.02,
+  };
+  const row = { id: "domain", name: "domainMarkers", weight: 0.2, keywords: ["orbitmesh"] };
+  const success = (result: ReturnType<typeof rebalanceDimensionWeights>) => {
+    if (!result.ok) throw new Error(result.error);
+    const total =
+      Object.keys(defaults).reduce((sum, name) => sum + result.dimension_weights[name], 0) +
+      (result.custom_dimensions ?? []).reduce((sum, dimension) => sum + dimension.weight, 0);
+    expect(total).toBeCloseTo(1, 12);
+    return result;
+  };
+
+  it("adds a dimension, edits either kind, and redistributes its share on removal", () => {
+    const added = success(rebalanceDimensionWeights(defaults, undefined, undefined, { type: "add", row }));
+    expect(added.dimension_weights.codePresence).toBeCloseTo(0.24, 12);
+    expect(added.custom_dimensions?.[0].weight).toBe(0.2);
+    const edited = success(
+      rebalanceDimensionWeights(defaults, added.dimension_weights, added.custom_dimensions, {
+        type: "set",
+        target: { kind: "custom", id: row.id },
+        weight: 0.4,
+      }),
+    );
+    expect(edited.dimension_weights.codePresence).toBeCloseTo(0.18, 12);
+    const builtin = success(
+      rebalanceDimensionWeights(defaults, edited.dimension_weights, edited.custom_dimensions, {
+        type: "set",
+        target: { kind: "builtin", id: "codePresence" },
+        weight: 0.5,
+      }),
+    );
+    expect(builtin.dimension_weights.codePresence).toBe(0.5);
+    expect(builtin.custom_dimensions?.[0].weight).toBeCloseTo((0.4 * 0.5) / 0.82, 12);
+    const removed = success(
+      rebalanceDimensionWeights(defaults, added.dimension_weights, added.custom_dimensions, {
+        type: "remove",
+        id: row.id,
+      }),
+    );
+    expect(removed.custom_dimensions).toBeUndefined();
+    expect(removed.dimension_weights.codePresence).toBeCloseTo(defaults.codePresence, 12);
+  });
+
+  it("uses zero for omitted keys of an explicit map and preserves ignored keys", () => {
+    expect(effectiveDimensionWeights(defaults, { codePresence: 0.2 }).technicalTerms).toBe(0);
+    expect(effectiveDimensionWeights(defaults, undefined)).toEqual(defaults);
+    const result = success(
+      rebalanceDimensionWeights(defaults, { codePresence: 0.2, unknown: 7 }, undefined, { type: "add", row }),
+    );
+    expect(result.dimension_weights.unknown).toBe(7);
+    expect(result.dimension_weights.codePresence).toBeCloseTo(0.8, 12);
+    expect(result.dimension_weights.technicalTerms).toBe(0);
+  });
+
+  it("distributes an all-zero vector without inventing custom matchers", () => {
+    const result = success(rebalanceDimensionWeights(defaults, {}, undefined, { type: "add", row }));
+    expect(result.dimension_weights.codePresence).toBeCloseTo(0.8 / 7, 12);
+    expect(result.custom_dimensions).toEqual([row]);
+  });
+
+  it("keeps small positive custom weights and full precision", () => {
+    const tiny = { ...row, weight: 1e-8 };
+    const result = success(
+      rebalanceDimensionWeights(defaults, defaults, [tiny], {
+        type: "set",
+        target: { kind: "builtin", id: "codePresence" },
+        weight: 0.123456789,
+      }),
+    );
+    expect(result.dimension_weights.codePresence).toBe(0.123456789);
+    expect(result.custom_dimensions?.[0].weight).toBeGreaterThan(0);
+    expect(result.custom_dimensions?.[0].weight).toBeLessThan(0.01);
+  });
+
+  it.each([0, 1, Number.NaN, -0.1, 1.1])(
+    "rejects invalid or impossible custom weight %s without changing the input",
+    (weight) => {
+      const original = structuredClone(row);
+      const result = rebalanceDimensionWeights(defaults, defaults, [row, { ...row, id: "other" }], {
+        type: "set",
+        target: { kind: "custom", id: row.id },
+        weight,
+      });
+      expect(result.ok).toBe(false);
+      expect(row).toEqual(original);
+    },
+  );
+
+  it("allows one dimension to take the whole budget when no custom sibling needs a share", () => {
+    const result = success(
+      rebalanceDimensionWeights(defaults, defaults, [row], {
+        type: "set",
+        target: { kind: "custom", id: row.id },
+        weight: 1,
+      }),
+    );
+    expect(Object.values(result.dimension_weights).every((weight) => weight === 0)).toBe(true);
+    expect(result.custom_dimensions?.[0].weight).toBe(1);
+  });
+
+  it("refuses missing defaults and invalid stored weights, preserving absence on built-in edits", () => {
+    const edit = { type: "set", target: { kind: "builtin", id: "codePresence" }, weight: 0.2 } as const;
+    expect(rebalanceDimensionWeights(undefined, defaults, undefined, edit).ok).toBe(false);
+    expect(rebalanceDimensionWeights(defaults, { codePresence: -1 }, undefined, edit).ok).toBe(false);
+    expect(success(rebalanceDimensionWeights(defaults, undefined, undefined, edit)).custom_dimensions).toBeUndefined();
+    expect(success(rebalanceDimensionWeights(defaults, undefined, [], edit)).custom_dimensions).toEqual([]);
+  });
+});
+
 describe("heuristicScoringRoleFor", () => {
   it.each([
     ["heuristic", undefined, "decides"],
diff --git a/ui/litellm-dashboard/src/components/add_model/heuristic_scoring_knobs.ts b/ui/litellm-dashboard/src/components/add_model/heuristic_scoring_knobs.ts
index 1f44a479c60..3de4af92b9c 100644
--- a/ui/litellm-dashboard/src/components/add_model/heuristic_scoring_knobs.ts
+++ b/ui/litellm-dashboard/src/components/add_model/heuristic_scoring_knobs.ts
@@ -1,3 +1,5 @@
+import type { CustomDimensionRow } from "./custom_dimensions";
+
 export type TierBoundaries = Record<string, number>;
 
 export type TokenThresholds = Record<string, number>;
@@ -27,8 +29,8 @@ const asRecord = (raw: unknown): Record<string, unknown> | undefined =>
 /**
  * Absent means the router is tracking the shipped defaults, so it must hydrate to undefined rather than to
  * a copy of them: hydrating defaults would make an untouched save write them out and pin the router to
- * whatever they were the day the modal was opened. A stored dict is kept exactly as stored, since the
- * backend fills in any key it omits at scoring time.
+ * whatever they were the day the modal was opened. A stored weight map replaces the defaults;
+ * missing dimension names score zero.
  */
 const hydrateNumericMap = (raw: unknown): Record<string, number> | undefined => {
   const stored = asRecord(raw);
@@ -53,3 +55,94 @@ export const hydrateReasoningOverrideMinScore = (raw: unknown): number | undefin
 
 export const weightTotal = (weights: DimensionWeights): number =>
   Math.round(Object.values(weights).reduce((total, weight) => total + weight, 0) * 100) / 100;
+
+export const effectiveDimensionWeights = (
+  defaults: DimensionWeights,
+  stored: DimensionWeights | undefined,
+): DimensionWeights =>
+  Object.fromEntries(
+    Object.keys(defaults).map((name) => [name, stored === undefined ? defaults[name] : stored[name] ?? 0]),
+  );
+
+type WeightTarget = { kind: "builtin" | "custom"; id: string };
+const weightValid = ({ kind, weight }: { kind: WeightTarget["kind"]; weight: number }): boolean => {
+  const inRange = Number.isFinite(weight) && weight >= 0 && weight <= 1;
+  return inRange && (kind === "builtin" || weight > 0);
+};
+export type WeightEdit =
+  | { type: "set"; target: WeightTarget; weight: number }
+  | { type: "add"; row: CustomDimensionRow }
+  | { type: "remove"; id: string };
+type WeightResult =
+  | { ok: true; dimension_weights: DimensionWeights; custom_dimensions: CustomDimensionRow[] | undefined }
+  | { ok: false; error: string };
+
+export const rebalanceDimensionWeights = (
+  defaults: DimensionWeights | undefined,
+  stored: DimensionWeights | undefined,
+  custom: CustomDimensionRow[] | undefined,
+  edit: WeightEdit,
+): WeightResult => {
+  if (!defaults || !Object.keys(defaults).length)
+    return { ok: false, error: "Load the shipped defaults before changing weights" };
+  const builtin = effectiveDimensionWeights(defaults, stored);
+  const rows =
+    edit.type === "add"
+      ? [...(custom ?? []), edit.row]
+      : (custom ?? []).filter((row) => edit.type !== "remove" || row.id !== edit.id);
+  const vector = [
+    ...Object.entries(builtin).map(([id, weight]) => ({ kind: "builtin" as const, id, weight })),
+    ...rows.map(({ id, weight }) => ({ kind: "custom" as const, id, weight })),
+  ];
+  if (!vector.every(weightValid))
+    return {
+      ok: false,
+      error: "Existing weights must be finite and nonnegative; custom weights must be greater than 0 and at most 1",
+    };
+  const target = edit.type === "set" ? edit.target : undefined;
+  const pinned = (entry: WeightTarget) =>
+    edit.type === "add"
+      ? entry.kind === "custom" && entry.id === edit.row.id
+      : entry.kind === target?.kind && entry.id === target.id;
+  if (edit.type === "set" && !vector.some(pinned)) return { ok: false, error: "The dimension is no longer available" };
+  const requestedWeight = (): number => {
+    if (edit.type === "set") return edit.weight;
+    return edit.type === "add" ? edit.row.weight : 0;
+  };
+  const weight = requestedWeight();
+  if (!weightValid({ kind: target?.kind ?? "builtin", weight }))
+    return { ok: false, error: "Use a weight from 0 to 1; custom dimensions must stay greater than 0" };
+  const others = vector.filter((entry) => !pinned(entry));
+  const total = others.reduce((sum, entry) => sum + entry.weight, 0);
+  if (!Number.isFinite(total)) return { ok: false, error: "Existing weights are too large to rebalance" };
+  const remainder = 1 - weight;
+  const builtinCount = others.filter((entry) => entry.kind === "builtin").length;
+  const redistributed = (entry: WeightTarget & { weight: number }): number => {
+    if (pinned(entry)) return weight;
+    if (total > 0) return remainder * (entry.weight / total);
+    return entry.kind === "builtin" ? remainder / builtinCount : 0;
+  };
+  const balanced = vector.map((entry) => ({ ...entry, weight: redistributed(entry) }));
+  const residual = 1 - balanced.reduce((sum, entry) => sum + entry.weight, 0);
+  const receiver = balanced
+    .filter((entry) => entry.kind === "builtin" && !pinned(entry) && entry.weight > 0)
+    .sort((a, b) => b.weight - a.weight)[0];
+  const corrected = balanced.map((entry) =>
+    entry === receiver ? { ...entry, weight: entry.weight + residual } : entry,
+  );
+  const offBudget = Math.abs(corrected.reduce((sum, entry) => sum + entry.weight, 0) - 1) > 1e-12;
+  if (!corrected.every(weightValid) || offBudget)
+    return { ok: false, error: "Leave a positive share for every custom dimension, or remove it first" };
+  const weights = Object.fromEntries(
+    corrected.filter((entry) => entry.kind === "builtin").map(({ id, weight }) => [id, weight]),
+  );
+  const customWeights = new Map(
+    corrected.filter((entry) => entry.kind === "custom").map(({ id, weight }) => [id, weight]),
+  );
+  const emptyRows = edit.type === "remove" ? undefined : custom;
+  return {
+    ok: true,
+    dimension_weights: { ...stored, ...weights },
+    custom_dimensions: rows.length ? rows.map((row) => ({ ...row, weight: customWeights.get(row.id)! })) : emptyRows,
+  };
+};
diff --git a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
index 5e2a32addee..d2cec15d75b 100644
--- a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
+++ b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts
@@ -136,6 +136,7 @@ export const CUSTOM_TIER_RESTRICTIONS = {
       "tier_boundaries",
       "token_thresholds",
       "dimension_weights",
+      "custom_dimensions",
       "reasoning_override_min_score",
       "custom_technical_keywords",
     ],
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
index 0144dff3498..4a57e9d5e13 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts
@@ -63,6 +63,54 @@ describe("buildUpdatedComplexityRouterConfig keyword matching", () => {
     expect(result.some_future_backend_key).toEqual({ nested: true });
   });
 
+  describe("custom dimensions", () => {
+    const stored = [
+      { name: "internalFrameworks", weight: 0.7, keywords: ["orbitmesh"] },
+      { name: "sqlDdl", weight: 0.3, patterns: ["create table"], scoring_mode: "match_count" },
+    ];
+    const withDimensions = { ...STORED, custom_dimensions: stored };
+
+    it("round-trips stored rows through hydration and save without dropping or reshaping one", () => {
+      const hydrated = hydrateComplexityRouterConfig(withDimensions, null);
+      expect(hydrated.custom_dimensions).toEqual([
+        { id: "stored-0", ...stored[0] },
+        { id: "stored-1", ...stored[1] },
+      ]);
+      const saved = buildUpdatedComplexityRouterConfig(withDimensions, {
+        ...FORM_VALUE,
+        custom_dimensions: hydrated.custom_dimensions,
+      });
+      expect(saved.custom_dimensions).toEqual(stored);
+    });
+
+    it("is a managed key, so removing the last row does not resurrect the stored dimensions", () => {
+      expect(MANAGED_COMPLEXITY_ROUTER_KEYS.has("custom_dimensions")).toBe(true);
+      const saved = buildUpdatedComplexityRouterConfig(withDimensions, { ...FORM_VALUE, custom_dimensions: [] });
+      expect(saved.custom_dimensions).toEqual([]);
+    });
+
+    it("omits the key entirely when the editor never held rows, so an untouched router gains nothing", () => {
+      expect(hydrateComplexityRouterConfig(STORED, null).custom_dimensions).toBeUndefined();
+      expect(buildUpdatedComplexityRouterConfig(STORED, FORM_VALUE)).not.toHaveProperty("custom_dimensions");
+    });
+
+    it("drops rows a custom tier set forbids rather than sending them to a scorer that never runs", () => {
+      const customTierStored = storedCustomConfig({ custom_dimensions: stored });
+      const saved = buildUpdatedComplexityRouterConfig(customTierStored, {
+        tiers: { SIMPLE: [], MEDIUM: [], COMPLEX: [], REASONING: [] },
+        classifier_type: "llm" as const,
+        custom_tier_set: {
+          tiers: [
+            { id: "a", name: "CASUAL", definition: "small talk", models: ["gpt-4o-mini"] },
+            { id: "b", name: "AUDIT", definition: "security review", models: ["o1"] },
+          ],
+          fallback_tier_id: "a",
+        },
+      });
+      expect(saved).not.toHaveProperty("custom_dimensions");
+    });
+  });
+
   it("persists an edited keyword rule", () => {
     const result = buildUpdatedComplexityRouterConfig(STORED, FORM_VALUE, undefined, {
       ...hydratedState,
@@ -580,6 +628,7 @@ describe("managed keys survive an untouched open-and-save", () => {
     tier_boundaries: { simple_medium: 0.2, medium_complex: 0.4, complex_reasoning: 0.7 },
     token_thresholds: { simple: 20, complex: 500 },
     dimension_weights: { tokenCount: 0.1 },
+    custom_dimensions: [{ name: "domain", weight: 0.9, keywords: ["orbitmesh"] }],
     reasoning_override_min_score: 0.3,
     enable_context_window_escalation: false,
     context_window_escalation_buffer: 0.9,
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
index 3c0013e267e..b23040ab80c 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
@@ -48,6 +48,7 @@ import {
   hydrateAutoRouterCompression,
 } from "../add_model/buildAutoRouterCompression";
 import { hydrateKeywordTierRules } from "../add_model/complexity_router_keywords";
+import { customDimensionsError, hydrateCustomDimensions } from "../add_model/custom_dimensions";
 import {
   hydrateDimensionWeights,
   hydrateReasoningOverrideMinScore,
@@ -61,6 +62,7 @@ import ComplexityRouterConfig, {
   ClassifierType,
   ComplexityRouterConfigValue,
   ComplexityTiers,
+  heuristicScoringRole,
   DEFAULT_ADAPTIVE_WEIGHTS,
   DEFAULT_SESSION_AFFINITY,
   DEFAULT_DEPLOYMENT_AFFINITY,
@@ -109,6 +111,7 @@ export interface StoredComplexityRouterConfig {
   tier_boundaries?: unknown;
   token_thresholds?: unknown;
   dimension_weights?: unknown;
+  custom_dimensions?: unknown;
   reasoning_override_min_score?: unknown;
   session_affinity?: unknown;
   session_affinity_ttl_seconds?: unknown;
@@ -194,6 +197,7 @@ export const hydrateComplexityRouterConfig = (
     tier_boundaries: hydrateTierBoundaries(parsedConfig.tier_boundaries),
     token_thresholds: hydrateTokenThresholds(parsedConfig.token_thresholds),
     dimension_weights: hydrateDimensionWeights(parsedConfig.dimension_weights),
+    custom_dimensions: hydrateCustomDimensions(parsedConfig.custom_dimensions),
     reasoning_override_min_score: hydrateReasoningOverrideMinScore(parsedConfig.reasoning_override_min_score),
     session_affinity:
       typeof parsedConfig.session_affinity === "boolean" ? parsedConfig.session_affinity : DEFAULT_SESSION_AFFINITY,
@@ -264,6 +268,7 @@ export const MANAGED_COMPLEXITY_ROUTER_KEYS = new Set([
   "tier_boundaries",
   "token_thresholds",
   "dimension_weights",
+  "custom_dimensions",
   "reasoning_override_min_score",
   "enable_context_window_escalation",
   "context_window_escalation_buffer",
@@ -373,6 +378,7 @@ export const buildUpdatedComplexityRouterConfig = (
     tierBoundaries: value.tier_boundaries,
     tokenThresholds: value.token_thresholds,
     dimensionWeights: value.dimension_weights,
+    customDimensions: value.custom_dimensions,
     reasoningOverrideMinScore: value.reasoning_override_min_score,
     tierModelParams: value.tier_model_params,
     enableContextWindowEscalation: value.enable_context_window_escalation,
@@ -481,7 +487,10 @@ const EditAutoRouterModal: React.FC<EditAutoRouterModalProps> = ({
             : null) ?? getTierLabelsError(complexityRouterConfig.tier_labels)) ??
       getPlanModeTierError(complexityRouterConfig.plan_mode_min_tier, activeTierRows(complexityRouterConfig)) ??
       getKeywordTierRulesError(keywordTierRules, activeTierRows(complexityRouterConfig)) ??
-      getClassifierModelError(complexityRouterConfig);
+      getClassifierModelError(complexityRouterConfig) ??
+      (heuristicScoringRole(complexityRouterConfig) === "decides"
+        ? customDimensionsError(complexityRouterConfig.custom_dimensions)
+        : null);
 
   useEffect(() => {
     if (isVisible && modelData) {
@@ -601,7 +610,11 @@ const EditAutoRouterModal: React.FC<EditAutoRouterModalProps> = ({
         toast.fromError(tierSetError);
         return;
       }
-      const classifierError = getClassifierModelError(complexityRouterConfig);
+      const classifierError =
+        getClassifierModelError(complexityRouterConfig) ??
+        (heuristicScoringRole(complexityRouterConfig) === "decides"
+          ? customDimensionsError(complexityRouterConfig.custom_dimensions)
+          : null);
       if (classifierError) {
         setShowValidationErrors(true);
         toast.fromError(classifierError);
diff --git a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
index 344964c4434..5d1c7f73c71 100644
--- a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
+++ b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
@@ -87,6 +87,19 @@ describe("autorouter_presets", () => {
     }
   });
 
+  it("keeps every preset free of custom dimensions, so applying one never adds scoring rows", () => {
+    for (const { complexity_router_config: config } of getAllPresets()) {
+      expect(config.custom_dimensions).toBeUndefined();
+    }
+    const config = getPresetByKey("anthropic_family")!.complexity_router_config;
+    expect(buildPresetPrefill(config, groupsOnly([])).complexityRouterConfig.custom_dimensions).toBeUndefined();
+  });
+
+  it("resets both scoring overrides when the form falls back to an empty prefill", () => {
+    expect(buildEmptyPrefill().complexityRouterConfig.custom_dimensions).toBeUndefined();
+    expect(buildEmptyPrefill().complexityRouterConfig.dimension_weights).toBeUndefined();
+  });
+
   it("carries a preset's session affinity idle window into the prefilled form state", () => {
     const config = getPresetByKey("anthropic_family")!.complexity_router_config;
     const prefill = buildPresetPrefill({ ...config, session_affinity_ttl_seconds: 300 }, groupsOnly([]));
@@ -96,6 +109,21 @@ describe("autorouter_presets", () => {
     ).toBeUndefined();
   });
 
+  it("carries a preset's stored weights and custom dimensions into the prefill without rebalancing them", () => {
+    const config = getPresetByKey("anthropic_family")!.complexity_router_config;
+    const weights = { codePresence: 0.4 };
+    const dimension = { name: "domain", weight: 0.9, keywords: ["orbitmesh"] };
+    const prefill = buildPresetPrefill(
+      { ...config, dimension_weights: weights, custom_dimensions: [dimension] },
+      groupsOnly([]),
+    ).complexityRouterConfig;
+    expect(prefill.dimension_weights).toEqual(weights);
+    expect(prefill.custom_dimensions).toEqual([{ ...dimension, id: "stored-0" }]);
+    const plain = buildPresetPrefill(config, groupsOnly([])).complexityRouterConfig;
+    expect(plain.dimension_weights).toBeUndefined();
+    expect(plain.custom_dimensions).toBeUndefined();
+  });
+
   it("keeps the model-family presets on the heuristic classifier", () => {
     for (const key of ["anthropic_family", "gemini_family", "openai_family"]) {
       expect(getPresetByKey(key)!.complexity_router_config.classifier_type).toBe("heuristic");
diff --git a/ui/litellm-dashboard/src/lib/autorouter_presets.ts b/ui/litellm-dashboard/src/lib/autorouter_presets.ts
index 2aafbfcfcd9..f2df55fc310 100644
--- a/ui/litellm-dashboard/src/lib/autorouter_presets.ts
+++ b/ui/litellm-dashboard/src/lib/autorouter_presets.ts
@@ -13,6 +13,13 @@ import {
 } from "@/components/add_model/ComplexityRouterConfig";
 import { KeywordTierRule } from "@/components/add_model/KeywordTierRules";
 import { hydrateKeywordTierRules } from "@/components/add_model/complexity_router_keywords";
+import { hydrateCustomDimensions } from "@/components/add_model/custom_dimensions";
+import {
+  hydrateDimensionWeights,
+  hydrateTierBoundaries,
+  hydrateTokenThresholds,
+  hydrateReasoningOverrideMinScore,
+} from "@/components/add_model/heuristic_scoring_knobs";
 import {
   TierModelParams,
   TierModelParamsByTier,
@@ -293,6 +300,11 @@ export const buildPresetPrefill = (
       tier_distance_penalty: config.tier_distance_penalty,
       adaptive_eligible: config.adaptive_eligible,
       return_raw_model_name: config.return_raw_model_name,
+      dimension_weights: hydrateDimensionWeights(config.dimension_weights),
+      custom_dimensions: hydrateCustomDimensions(config.custom_dimensions),
+      tier_boundaries: hydrateTierBoundaries(config.tier_boundaries),
+      token_thresholds: hydrateTokenThresholds(config.token_thresholds),
+      reasoning_override_min_score: hydrateReasoningOverrideMinScore(config.reasoning_override_min_score),
       enable_context_window_escalation: config.enable_context_window_escalation,
       context_window_escalation_buffer: config.context_window_escalation_buffer,
     },
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 232b366d8ce..d1431d8956f 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -26591,6 +26591,13 @@ export interface components {
              * @default []
              */
             patterns: string[];
+            /**
+             * Scoring Mode
+             * @description 'binary' scores 1 when any matcher hits. 'match_count' scores 0.5 when one distinct matcher hits and 1 when two or more do; repeated occurrences of one matcher never raise it. Keywords are distinct case-insensitively, patterns by source, and a keyword and a pattern are always distinct from each other.
+             * @default binary
+             * @enum {string}
+             */
+            scoring_mode: "binary" | "match_count";
             /** Weight */
             weight: number;
         };
@@ -34909,7 +34916,7 @@ export interface components {
             context_window_escalation_buffer: number;
             /**
              * Custom Dimensions
-             * @description Named binary dimensions added to the heuristic-v1 score. Each contributes its inline weight once when any keyword matches the current ask or a case-insensitive regex matches its first 2048 characters. Regex quantifiers repeat one character or class at most 64 times. Unbounded quantifiers, repeated groups, backreferences and lookarounds are rejected. Conservative work limits include alternation paths, repeat lengths and subsequent matching: 2048 units per pattern, 8192 across the router. Only heuristic, heuristic_first and hybrid accept this field. Uses the existing heuristic tuning quota.
+             * @description Named dimensions added to the heuristic-v1 score. Each contributes its inline weight once when any keyword matches the current ask or a case-insensitive regex matches its first 2048 characters; scoring_mode 'match_count' instead grades half weight for one distinct matcher and full for two or more. Regex quantifiers repeat one character or class at most 64 times. Unbounded quantifiers, repeated groups, backreferences and lookarounds are rejected. Conservative work limits include alternation paths, repeat lengths and subsequent matching: 2048 units per pattern, 8192 across the router. Only heuristic, heuristic_first and hybrid accept this field. Uses the existing heuristic tuning quota.
              * @default []
              */
             custom_dimensions: components["schemas"]["CustomDimension"][];

From 9e18526887c847415b8333742603daf2bb90bb5f Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:31:07 -0700
Subject: [PATCH 123/223] feat(deploy): metrics sidecar and separate metrics
 port in Helm and Terraform (#40163)

* feat(deploy): expose SSE keepalive, pre-call checks and a metrics sidecar in Helm and Terraform

Typed reliability values on both Helm charts and the AWS/GCP Terraform
modules, a dedicated ClusterIP Service for the separate Prometheus port,
a /health route on the metrics server and dead-worker pruning so the
aggregate does not keep stale multiprocess samples.

Resolves LIT-7142

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(deploy): drop reliability config from Helm and Terraform, keep only the metrics sidecar

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): cover startup pruning of dead workers' live gauges and unsignalable pids

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 docker/component_entrypoint.sh                |   6 +
 helm/litellm-helm/templates/deployment.yaml   |  12 ++
 .../templates/service-metrics.yaml            |  17 ++
 .../templates/servicemonitor.yaml             |   2 +-
 .../tests/metrics_server_tests.yaml           | 106 +++++++++++++
 helm/litellm-helm/values.yaml                 |  10 ++
 helm/litellm/templates/_helpers.tpl           |   2 +
 .../litellm/templates/gateway/deployment.yaml |  53 ++++++-
 .../templates/gateway/service-metrics.yaml    |  18 +++
 helm/litellm/tests/metrics_server_tests.yaml  | 148 ++++++++++++++++++
 helm/litellm/values.yaml                      |  16 ++
 litellm/proxy/prometheus_cleanup.py           |  35 +++++
 litellm/proxy/prometheus_metrics_server.py    |   5 +
 litellm/proxy/proxy_server.py                 |   8 +
 terraform/litellm/aws/README.md               |  16 ++
 terraform/litellm/aws/ecs.tf                  |  54 ++++++-
 .../litellm/aws/examples/default/main.tf      |   3 +
 .../examples/default/terraform.tfvars.example |   7 +
 .../litellm/aws/examples/default/variables.tf |  12 ++
 terraform/litellm/aws/network.tf              |  11 ++
 .../aws/tests/metrics_sidecar.tftest.hcl      | 108 +++++++++++++
 terraform/litellm/aws/variables.tf            |  38 +++++
 .../proxy/proxy_server/test_lifecycle.py      |  25 +++
 .../proxy/test_prometheus_cleanup.py          |  66 +++++++-
 .../proxy/test_prometheus_metrics_server.py   |   9 +-
 .../test_litellm/test_component_entrypoint.py |  53 +++++++
 26 files changed, 830 insertions(+), 10 deletions(-)
 create mode 100644 helm/litellm-helm/templates/service-metrics.yaml
 create mode 100644 helm/litellm-helm/tests/metrics_server_tests.yaml
 create mode 100644 helm/litellm/templates/gateway/service-metrics.yaml
 create mode 100644 helm/litellm/tests/metrics_server_tests.yaml
 create mode 100644 terraform/litellm/aws/tests/metrics_sidecar.tftest.hcl

diff --git a/docker/component_entrypoint.sh b/docker/component_entrypoint.sh
index 413957b9929..173afafe1ad 100755
--- a/docker/component_entrypoint.sh
+++ b/docker/component_entrypoint.sh
@@ -1,5 +1,11 @@
 #!/bin/sh
 
+# stale samples from a previous container incarnation would be summed into the aggregate
+if [ -n "$PROMETHEUS_MULTIPROC_DIR" ]; then
+    mkdir -p "$PROMETHEUS_MULTIPROC_DIR"
+    rm -f "$PROMETHEUS_MULTIPROC_DIR"/*.db
+fi
+
 case "$USE_DDTRACE" in
     [Tt][Rr][Uu][Ee])
         export DD_TRACE_OPENAI_ENABLED="False"
diff --git a/helm/litellm-helm/templates/deployment.yaml b/helm/litellm-helm/templates/deployment.yaml
index 52ffd117535..f7c918a6827 100644
--- a/helm/litellm-helm/templates/deployment.yaml
+++ b/helm/litellm-helm/templates/deployment.yaml
@@ -152,6 +152,13 @@ spec:
             {{- if .Values.billingMetrics.enabled }}
             {{- include "litellm.billingMetricsEnv" . | nindent 12 }}
             {{- end }}
+            {{- if .Values.metricsServer.enabled }}
+            {{- if eq (int .Values.metricsServer.port) (int .Values.service.port) }}
+            {{- fail "metricsServer.port must differ from service.port" }}
+            {{- end }}
+            - name: PROMETHEUS_METRICS_PORT
+              value: {{ .Values.metricsServer.port | quote }}
+            {{- end }}
             {{- if .Values.migrationJob.enabled }}
             # Schema updates are owned by the dedicated migrations Job; skip
             # the proxy's startup `prisma db push` so N replicas don't race
@@ -189,6 +196,11 @@ spec:
             - name: http
               containerPort: {{ .Values.service.port }}
               protocol: TCP
+            {{- if .Values.metricsServer.enabled }}
+            - name: metrics
+              containerPort: {{ .Values.metricsServer.port }}
+              protocol: TCP
+            {{- end }}
           livenessProbe:
             httpGet:
               path: {{ .Values.livenessProbe.path | quote }}
diff --git a/helm/litellm-helm/templates/service-metrics.yaml b/helm/litellm-helm/templates/service-metrics.yaml
new file mode 100644
index 00000000000..1d23fe39606
--- /dev/null
+++ b/helm/litellm-helm/templates/service-metrics.yaml
@@ -0,0 +1,17 @@
+{{- if .Values.metricsServer.enabled }}
+apiVersion: v1
+kind: Service
+metadata:
+  name: {{ include "litellm.fullname" . }}-metrics
+  labels:
+    {{- include "litellm.labels" . | nindent 4 }}
+spec:
+  type: ClusterIP
+  ports:
+    - port: {{ .Values.metricsServer.port }}
+      targetPort: metrics
+      protocol: TCP
+      name: metrics
+  selector:
+    {{- include "litellm.selectorLabels" . | nindent 4 }}
+{{- end }}
diff --git a/helm/litellm-helm/templates/servicemonitor.yaml b/helm/litellm-helm/templates/servicemonitor.yaml
index 743098deb3f..68083d0da61 100644
--- a/helm/litellm-helm/templates/servicemonitor.yaml
+++ b/helm/litellm-helm/templates/servicemonitor.yaml
@@ -26,7 +26,7 @@ spec:
     {{- toYaml .namespaceSelector.matchNames | nindent 4 }}
     {{- end }}
   endpoints:
-  - port: http
+  - port: {{ ternary "metrics" "http" $.Values.metricsServer.enabled }}
     path: /metrics/
     interval: {{ .interval }}
     scrapeTimeout: {{ .scrapeTimeout }}
diff --git a/helm/litellm-helm/tests/metrics_server_tests.yaml b/helm/litellm-helm/tests/metrics_server_tests.yaml
new file mode 100644
index 00000000000..085d69ac640
--- /dev/null
+++ b/helm/litellm-helm/tests/metrics_server_tests.yaml
@@ -0,0 +1,106 @@
+suite: separate metrics server
+templates:
+  - configmap-litellm.yaml
+  - deployment.yaml
+  - service.yaml
+  - service-metrics.yaml
+  - servicemonitor.yaml
+tests:
+  - it: should not expose a metrics port or PROMETHEUS_METRICS_PORT by default
+    asserts:
+      - notContains:
+          path: spec.template.spec.containers[0].ports
+          content:
+            name: metrics
+          any: true
+        template: deployment.yaml
+      - notContains:
+          path: spec.template.spec.containers[0].env
+          content:
+            name: PROMETHEUS_METRICS_PORT
+          any: true
+        template: deployment.yaml
+      - lengthEqual:
+          path: spec.ports
+          count: 1
+        template: service.yaml
+      - hasDocuments:
+          count: 0
+        template: service-metrics.yaml
+
+  - it: should scrape the proxy port when the metrics server is disabled
+    template: servicemonitor.yaml
+    set:
+      serviceMonitor.enabled: true
+    asserts:
+      - equal:
+          path: spec.endpoints[0].port
+          value: http
+
+  - it: should wire the separate metrics server through container, a ClusterIP metrics service and servicemonitor
+    set:
+      metricsServer.enabled: true
+      metricsServer.port: 4101
+      serviceMonitor.enabled: true
+      service.type: LoadBalancer
+    asserts:
+      - contains:
+          path: spec.template.spec.containers[0].env
+          content:
+            name: PROMETHEUS_METRICS_PORT
+            value: "4101"
+        template: deployment.yaml
+      - contains:
+          path: spec.template.spec.containers[0].ports
+          content:
+            name: metrics
+            containerPort: 4101
+            protocol: TCP
+        template: deployment.yaml
+      - lengthEqual:
+          path: spec.ports
+          count: 1
+        template: service.yaml
+      - equal:
+          path: spec.type
+          value: LoadBalancer
+        template: service.yaml
+      - equal:
+          path: metadata.name
+          value: RELEASE-NAME-litellm-metrics
+        template: service-metrics.yaml
+      - equal:
+          path: spec.type
+          value: ClusterIP
+        template: service-metrics.yaml
+      - equal:
+          path: spec.ports
+          value:
+            - port: 4101
+              targetPort: metrics
+              protocol: TCP
+              name: metrics
+        template: service-metrics.yaml
+      - equal:
+          path: spec.selector
+          value:
+            app.kubernetes.io/name: litellm
+            app.kubernetes.io/instance: RELEASE-NAME
+        template: service-metrics.yaml
+      - equal:
+          path: spec.endpoints[0].port
+          value: metrics
+        template: servicemonitor.yaml
+      - equal:
+          path: spec.endpoints[0].path
+          value: /metrics/
+        template: servicemonitor.yaml
+
+  - it: should reject a metrics port equal to the proxy port
+    template: deployment.yaml
+    set:
+      metricsServer.enabled: true
+      metricsServer.port: 4000
+    asserts:
+      - failedTemplate:
+          errorMessage: metricsServer.port must differ from service.port
diff --git a/helm/litellm-helm/values.yaml b/helm/litellm-helm/values.yaml
index 637be2322e3..8dc7b967e11 100644
--- a/helm/litellm-helm/values.yaml
+++ b/helm/litellm-helm/values.yaml
@@ -180,6 +180,16 @@ proxy_config:
   general_settings:
     master_key: os.environ/PROXY_MASTER_KEY
 
+# Serve Prometheus /metrics from a separate process (PROMETHEUS_METRICS_PORT)
+# so a scrape never runs on an inference worker. Adds a `metrics` port to the
+# container and a dedicated ClusterIP `<release>-metrics` Service, and the
+# ServiceMonitor scrapes it instead of the proxy port. The separate port has
+# no virtual-key auth: keep it off public ingress. Needs the proxy image
+# v1.101.0 or newer.
+metricsServer:
+  enabled: false
+  port: 4001
+
 resources:
   {}
   # Unset by default so the chart installs on small clusters such as Minikube, and so an
diff --git a/helm/litellm/templates/_helpers.tpl b/helm/litellm/templates/_helpers.tpl
index be6b9093f53..c459512c7b9 100644
--- a/helm/litellm/templates/_helpers.tpl
+++ b/helm/litellm/templates/_helpers.tpl
@@ -441,3 +441,5 @@ ImplementationSpecific
 {{- .pathType -}}
 {{- end -}}
 {{- end -}}
+
+{{- define "litellm.gateway.prometheusMultiprocDir" -}}/tmp/litellm_prometheus_multiproc{{- end -}}
diff --git a/helm/litellm/templates/gateway/deployment.yaml b/helm/litellm/templates/gateway/deployment.yaml
index 5030ba2c9dc..9cb6b07e77b 100644
--- a/helm/litellm/templates/gateway/deployment.yaml
+++ b/helm/litellm/templates/gateway/deployment.yaml
@@ -64,14 +64,25 @@ spec:
             {{- if .Values.billingMetrics.enabled }}
             {{- include "litellm.billingMetricsEnv" . | nindent 12 }}
             {{- end }}
+            {{- if .Values.gateway.metricsServer.enabled }}
+            {{- if eq (int .Values.gateway.metricsServer.port) 4000 }}
+            {{- fail "gateway.metricsServer.port must differ from the gateway port 4000" }}
+            {{- end }}
+            - name: PROMETHEUS_MULTIPROC_DIR
+              value: {{ include "litellm.gateway.prometheusMultiprocDir" . }}
+            {{- end }}
           {{- include "litellm.envFrom" .Values.gateway | nindent 10 }}
-          {{- if or .Values.gateway.config.create .Values.gateway.volumeMounts .Values.billingMetrics.enabled }}
+          {{- if or .Values.gateway.config.create .Values.gateway.volumeMounts .Values.billingMetrics.enabled .Values.gateway.metricsServer.enabled }}
           volumeMounts:
             {{- if .Values.gateway.config.create }}
             - name: gateway-config
               mountPath: /app/config/config.yaml
               subPath: config.yaml
             {{- end }}
+            {{- if .Values.gateway.metricsServer.enabled }}
+            - name: prometheus-multiproc
+              mountPath: {{ include "litellm.gateway.prometheusMultiprocDir" . }}
+            {{- end }}
             {{- if .Values.billingMetrics.enabled }}
             {{- include "litellm.billingMetricsVolumeMounts" . | nindent 12 }}
             {{- end }}
@@ -97,16 +108,54 @@ spec:
           {{- end }}
           resources:
             {{- toYaml .Values.gateway.resources | nindent 12 }}
+        {{- if .Values.gateway.metricsServer.enabled }}
+        - name: metrics
+          image: "{{ .Values.gateway.image.repository }}:{{ .Values.gateway.image.tag | default .Chart.AppVersion }}"
+          imagePullPolicy: {{ .Values.gateway.image.pullPolicy }}
+          {{- with .Values.gateway.securityContext }}
+          securityContext:
+            {{- toYaml . | nindent 12 }}
+          {{- end }}
+          command:
+            - python
+            - -m
+            - litellm.proxy.prometheus_metrics_server
+            - --port
+            - {{ .Values.gateway.metricsServer.port | quote }}
+          env:
+            - name: PROMETHEUS_MULTIPROC_DIR
+              value: {{ include "litellm.gateway.prometheusMultiprocDir" . }}
+          ports:
+            - name: metrics
+              containerPort: {{ .Values.gateway.metricsServer.port }}
+              protocol: TCP
+          volumeMounts:
+            - name: prometheus-multiproc
+              mountPath: {{ include "litellm.gateway.prometheusMultiprocDir" . }}
+          readinessProbe:
+            tcpSocket: { port: metrics }
+            periodSeconds: 10
+          livenessProbe:
+            tcpSocket: { port: metrics }
+            periodSeconds: 15
+            failureThreshold: 6
+          resources:
+            {{- toYaml .Values.gateway.metricsServer.resources | nindent 12 }}
+        {{- end }}
       {{- with .Values.gateway.extraContainers }}
         {{- tpl (toYaml .) $ | nindent 8 }}
       {{- end }}
-      {{- if or .Values.gateway.config.create .Values.gateway.volumes .Values.billingMetrics.enabled }}
+      {{- if or .Values.gateway.config.create .Values.gateway.volumes .Values.billingMetrics.enabled .Values.gateway.metricsServer.enabled }}
       volumes:
         {{- if .Values.gateway.config.create }}
         - name: gateway-config
           configMap:
             name: {{ include "litellm.gateway.fullname" . }}-config
         {{- end }}
+        {{- if .Values.gateway.metricsServer.enabled }}
+        - name: prometheus-multiproc
+          emptyDir: {}
+        {{- end }}
         {{- if .Values.billingMetrics.enabled }}
         {{- include "litellm.billingMetricsVolumes" . | nindent 8 }}
         {{- end }}
diff --git a/helm/litellm/templates/gateway/service-metrics.yaml b/helm/litellm/templates/gateway/service-metrics.yaml
new file mode 100644
index 00000000000..ad9bc05a9fd
--- /dev/null
+++ b/helm/litellm/templates/gateway/service-metrics.yaml
@@ -0,0 +1,18 @@
+{{- if and .Values.gateway.enabled .Values.gateway.metricsServer.enabled }}
+apiVersion: v1
+kind: Service
+metadata:
+  name: {{ include "litellm.gateway.fullname" . }}-metrics
+  labels:
+    {{- include "litellm.commonLabels" . | nindent 4 }}
+    app.kubernetes.io/component: gateway
+spec:
+  type: ClusterIP
+  ports:
+    - port: {{ .Values.gateway.metricsServer.port }}
+      targetPort: metrics
+      protocol: TCP
+      name: metrics
+  selector:
+    {{- include "litellm.gateway.selectorLabels" . | nindent 4 }}
+{{- end }}
diff --git a/helm/litellm/tests/metrics_server_tests.yaml b/helm/litellm/tests/metrics_server_tests.yaml
new file mode 100644
index 00000000000..0e7d9d9e9ee
--- /dev/null
+++ b/helm/litellm/tests/metrics_server_tests.yaml
@@ -0,0 +1,148 @@
+suite: test gateway metrics sidecar
+templates:
+  - gateway/configmap.yaml
+  - gateway/deployment.yaml
+  - gateway/service.yaml
+  - gateway/service-metrics.yaml
+values:
+  - ./values/required.yaml
+tests:
+  - it: adds no sidecar, volume, env or service port when the metrics server is off
+    asserts:
+      - lengthEqual:
+          path: spec.template.spec.containers
+          count: 1
+        template: gateway/deployment.yaml
+      - notContains:
+          path: spec.template.spec.containers[0].env
+          content:
+            name: PROMETHEUS_MULTIPROC_DIR
+          any: true
+        template: gateway/deployment.yaml
+      - notContains:
+          path: spec.template.spec.volumes
+          content:
+            name: prometheus-multiproc
+          any: true
+        template: gateway/deployment.yaml
+      - lengthEqual:
+          path: spec.ports
+          count: 1
+        template: gateway/service.yaml
+      - hasDocuments:
+          count: 0
+        template: gateway/service-metrics.yaml
+
+  - it: runs the metrics server as a sidecar over a shared multiproc dir and exposes it on a ClusterIP metrics service
+    set:
+      gateway.metricsServer.enabled: true
+      gateway.metricsServer.port: 4101
+      gateway.service.type: LoadBalancer
+      gateway.image.tag: v1.101.0
+    asserts:
+      - contains:
+          path: spec.template.spec.containers[0].env
+          content:
+            name: PROMETHEUS_MULTIPROC_DIR
+            value: /tmp/litellm_prometheus_multiproc
+        template: gateway/deployment.yaml
+      - contains:
+          path: spec.template.spec.containers[0].volumeMounts
+          content:
+            name: prometheus-multiproc
+            mountPath: /tmp/litellm_prometheus_multiproc
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].name
+          value: metrics
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].image
+          value: ghcr.io/berriai/litellm-gateway:v1.101.0
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].command
+          value:
+            - python
+            - -m
+            - litellm.proxy.prometheus_metrics_server
+            - --port
+            - "4101"
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].env
+          value:
+            - name: PROMETHEUS_MULTIPROC_DIR
+              value: /tmp/litellm_prometheus_multiproc
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].ports
+          value:
+            - name: metrics
+              containerPort: 4101
+              protocol: TCP
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].volumeMounts
+          value:
+            - name: prometheus-multiproc
+              mountPath: /tmp/litellm_prometheus_multiproc
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].readinessProbe.tcpSocket.port
+          value: metrics
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].livenessProbe.tcpSocket.port
+          value: metrics
+        template: gateway/deployment.yaml
+      - equal:
+          path: spec.template.spec.containers[1].resources.requests.cpu
+          value: 50m
+        template: gateway/deployment.yaml
+      - contains:
+          path: spec.template.spec.volumes
+          content:
+            name: prometheus-multiproc
+            emptyDir: {}
+        template: gateway/deployment.yaml
+      - lengthEqual:
+          path: spec.ports
+          count: 1
+        template: gateway/service.yaml
+      - equal:
+          path: spec.type
+          value: LoadBalancer
+        template: gateway/service.yaml
+      - equal:
+          path: metadata.name
+          value: RELEASE-NAME-litellm-gateway-metrics
+        template: gateway/service-metrics.yaml
+      - equal:
+          path: spec.type
+          value: ClusterIP
+        template: gateway/service-metrics.yaml
+      - equal:
+          path: spec.ports
+          value:
+            - port: 4101
+              targetPort: metrics
+              protocol: TCP
+              name: metrics
+        template: gateway/service-metrics.yaml
+      - equal:
+          path: spec.selector
+          value:
+            app.kubernetes.io/name: litellm
+            app.kubernetes.io/instance: RELEASE-NAME
+            app.kubernetes.io/component: gateway
+        template: gateway/service-metrics.yaml
+
+  - it: rejects a metrics port equal to the gateway port
+    template: gateway/deployment.yaml
+    set:
+      gateway.metricsServer.enabled: true
+      gateway.metricsServer.port: 4000
+    asserts:
+      - failedTemplate:
+          errorMessage: gateway.metricsServer.port must differ from the gateway port 4000
diff --git a/helm/litellm/values.yaml b/helm/litellm/values.yaml
index 6c9fb9440c7..b5d535c992d 100644
--- a/helm/litellm/values.yaml
+++ b/helm/litellm/values.yaml
@@ -268,6 +268,22 @@ gateway:
   config:
     create: true
     proxy_config: {}
+  # Serve Prometheus /metrics from a `metrics` sidecar container (same image,
+  # `python -m litellm.proxy.prometheus_metrics_server`) that aggregates the
+  # workers' PROMETHEUS_MULTIPROC_DIR samples over a shared emptyDir, so a
+  # scrape never runs on an inference worker. Adds a `metrics` port to the pod
+  # and a dedicated ClusterIP `<gateway>-metrics` Service; point your scrape
+  # config at it. The port has no virtual-key auth: keep it off public ingress.
+  # Needs the gateway image v1.101.0 or newer.
+  metricsServer:
+    enabled: false
+    port: 4001
+    resources:
+      requests:
+        cpu: 50m
+        memory: 128Mi
+      limits:
+        memory: 512Mi
   image:
     repository: ghcr.io/berriai/litellm-gateway
     tag: ""              # defaults to .Chart.AppVersion
diff --git a/litellm/proxy/prometheus_cleanup.py b/litellm/proxy/prometheus_cleanup.py
index d9827723887..c65aaeedfaa 100644
--- a/litellm/proxy/prometheus_cleanup.py
+++ b/litellm/proxy/prometheus_cleanup.py
@@ -8,10 +8,13 @@ from __future__ import annotations
 
 import glob
 import os
+import re
 from typing import Final
 
 from litellm._logging import verbose_proxy_logger
 
+_LIVE_GAUGE_PID: Final = re.compile(r"gauge_live[a-z]*_(\d+)\.db$")
+
 
 def wipe_directory(directory: str) -> None:
     """Delete all .db files in the directory. Called once before workers fork."""
@@ -38,3 +41,35 @@ def mark_worker_exit(worker_pid: int) -> None:
         verbose_proxy_logger.info("Prometheus cleanup: marked worker %s as dead", worker_pid)
     except Exception as e:
         verbose_proxy_logger.warning("Failed to mark prometheus worker %s as dead: %s", worker_pid, e)
+
+
+def _is_running(pid: int) -> bool:
+    try:
+        os.kill(pid, 0)
+    except ProcessLookupError:
+        return False
+    except PermissionError:
+        return True
+    return True
+
+
+def mark_dead_workers(directory: str) -> tuple[int, ...]:
+    """Drop the live-gauge files of workers that no longer exist and return their pids.
+
+    Uvicorn's multi-worker supervisor has no exit hook, so a replacement worker calls this at startup; without it
+    a crashed worker's in-flight gauges stay in the aggregate forever.
+    """
+    owners: Final = frozenset(
+        int(match.group(1))
+        for match in map(_LIVE_GAUGE_PID.search, glob.glob(os.path.join(directory, "gauge_live*_*.db")))
+        if match is not None
+    )
+    dead: Final = tuple(sorted(pid for pid in owners if pid != os.getpid() and not _is_running(pid)))
+    if not dead:
+        return dead
+    from prometheus_client import multiprocess
+
+    for pid in dead:
+        multiprocess.mark_process_dead(pid, path=directory)
+    verbose_proxy_logger.info("Prometheus cleanup: marked dead workers %s in %s", dead, directory)
+    return dead
diff --git a/litellm/proxy/prometheus_metrics_server.py b/litellm/proxy/prometheus_metrics_server.py
index 4a9651d62e1..01479f9dd41 100644
--- a/litellm/proxy/prometheus_metrics_server.py
+++ b/litellm/proxy/prometheus_metrics_server.py
@@ -30,6 +30,7 @@ from litellm.integrations.prometheus_metrics_endpoint import make_metrics_asgi_a
 from litellm.llms.custom_httpx.http_handler import HTTPHandler
 
 METRICS_PATH: Final = "/metrics"
+HEALTH_PATH: Final = "/health"
 PID_HEADER: Final = "x-litellm-metrics-pid"
 _PARENT_POLL_INTERVAL_SECONDS: Final = 1.0
 _STARTUP_TIMEOUT_SECONDS: Final = 30.0
@@ -77,6 +78,10 @@ def build_metrics_app(multiproc_dir: str) -> FastAPI:
     app: Final = FastAPI(title="LiteLLM Prometheus metrics", docs_url=None, redoc_url=None, openapi_url=None)
     app.mount(METRICS_PATH, _add_pid_header(make_metrics_asgi_app(registry)))
 
+    @app.get(HEALTH_PATH)
+    def health() -> dict[str, str]:
+        return {"status": "healthy", "multiproc_dir": multiproc_dir}
+
     return app
 
 
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 1d6baf5fded..38c4c2e96c9 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -631,6 +631,7 @@ from litellm.proxy.pass_through_endpoints.pass_through_endpoints import (
 from litellm.proxy.pass_through_endpoints.pass_through_endpoints import (
     router as pass_through_router,
 )
+from litellm.proxy.prometheus_cleanup import mark_dead_workers, mark_worker_exit
 from litellm.proxy.public_endpoints import router as public_endpoints_router
 from litellm.proxy.public_endpoints.public_v1 import router as public_v1_router
 from litellm.proxy.rag_endpoints.endpoints import router as rag_router
@@ -1059,6 +1060,10 @@ async def proxy_startup_event(app: FastAPI) -> AsyncGenerator[None, None]:
 
     init_verbose_loggers()
 
+    prometheus_multiproc_dir: Final = os.environ.get("PROMETHEUS_MULTIPROC_DIR")
+    if prometheus_multiproc_dir:
+        mark_dead_workers(prometheus_multiproc_dir)
+
     ## RUN WORKER STARTUP HOOKS (e.g., gflags initialization) ##
     _startup_hooks_env: Final = os.environ.get("LITELLM_WORKER_STARTUP_HOOKS", "")
     if _startup_hooks_env:
@@ -1365,6 +1370,9 @@ async def proxy_startup_event(app: FastAPI) -> AsyncGenerator[None, None]:
 
     await proxy_shutdown_event(worker_heartbeat=worker_heartbeat)
 
+    if prometheus_multiproc_dir:
+        mark_worker_exit(os.getpid())
+
 
 def _generate_stable_operation_id(route: "APIRoute") -> str:
     operation_id = re.sub(r"\W", "_", f"{route.name}{route.path_format}")
diff --git a/terraform/litellm/aws/README.md b/terraform/litellm/aws/README.md
index 389027bf5ca..923a4ca2da8 100644
--- a/terraform/litellm/aws/README.md
+++ b/terraform/litellm/aws/README.md
@@ -242,6 +242,22 @@ this with `litellm_license`. To tune the export cadence, set
 `LITELLM_BILLING_METRICS_EXPORT_INTERVAL_MS` through `gateway_extra_env` /
 `backend_extra_env`
 
+### Prometheus metrics sidecar
+
+`gateway_metrics_port` adds a `metrics` sidecar
+(`python -m litellm.proxy.prometheus_metrics_server`) to the gateway task that
+aggregates the workers' samples over a shared task volume, so a scrape never
+runs on an inference worker. The ALB never routes to that port and the tasks
+security group only opens it to `gateway_metrics_scrape_cidrs`. Needs
+`gateway_image` v1.101.0 or newer. See
+[Prometheus metrics](https://docs.litellm.ai/docs/proxy/prometheus) for the
+metrics themselves.
+
+```hcl
+gateway_metrics_port         = 4001
+gateway_metrics_scrape_cidrs = ["10.0.0.0/16"]
+```
+
 ## Tenant deployment
 
 Every resource the stack creates is named `${tenant}-litellm-${env}` (or
diff --git a/terraform/litellm/aws/ecs.tf b/terraform/litellm/aws/ecs.tf
index 2fb1ca08205..aa2c3d558e2 100644
--- a/terraform/litellm/aws/ecs.tf
+++ b/terraform/litellm/aws/ecs.tf
@@ -212,6 +212,45 @@ locals {
   # pull the config from S3 first, so the command goes through `sh -c`;
   # otherwise we keep the image's ENTRYPOINT and only override `command`.
   gateway_uvicorn_args = "--host 0.0.0.0 --port 4000 --workers ${var.gateway_num_workers}"
+
+  metrics_enabled       = var.gateway_metrics_port != null
+  metrics_multiproc_dir = "/tmp/litellm_prometheus_multiproc"
+  metrics_volume        = "prometheus-multiproc"
+  metrics_env           = local.metrics_enabled ? [{ name = "PROMETHEUS_MULTIPROC_DIR", value = local.metrics_multiproc_dir }] : []
+  metrics_mount_points  = local.metrics_enabled ? [{ sourceVolume = local.metrics_volume, containerPath = local.metrics_multiproc_dir }] : []
+  metrics_health_cmd    = "import socket; socket.create_connection(('127.0.0.1', ${coalesce(var.gateway_metrics_port, 0)}), timeout=2).close()"
+
+  gateway_metrics_container = local.metrics_enabled ? [
+    {
+      name       = "metrics"
+      image      = var.gateway_image
+      essential  = false
+      entryPoint = ["python", "-m", "litellm.proxy.prometheus_metrics_server"]
+      command    = ["--port", tostring(var.gateway_metrics_port)]
+
+      portMappings = [{ containerPort = var.gateway_metrics_port, protocol = "tcp" }]
+      environment  = local.metrics_env
+      mountPoints  = local.metrics_mount_points
+
+      healthCheck = {
+        command     = ["CMD", "python", "-c", local.metrics_health_cmd]
+        interval    = 30
+        timeout     = 5
+        retries     = 3
+        startPeriod = 30
+      }
+
+      logConfiguration = {
+        logDriver = "awslogs"
+        options = {
+          awslogs-group         = aws_cloudwatch_log_group.gateway.name
+          awslogs-region        = var.region
+          awslogs-stream-prefix = "metrics"
+        }
+      }
+    }
+  ] : []
+
   backend_uvicorn_args = "--host 0.0.0.0 --port 4001"
 
   gateway_launch_cmd = "case \"$USE_DDTRACE\" in [Tt][Rr][Uu][Ee]) export DD_TRACE_OPENAI_ENABLED=\"False\"; exec ddtrace-run uvicorn gateway.main:app ${local.gateway_uvicorn_args};; *) exec uvicorn gateway.main:app ${local.gateway_uvicorn_args};; esac"
@@ -269,7 +308,7 @@ resource "aws_ecs_task_definition" "gateway" {
   execution_role_arn       = aws_iam_role.task_execution.arn
   task_role_arn            = aws_iam_role.task.arn
 
-  container_definitions = jsonencode([
+  container_definitions = jsonencode(concat([
     merge(
       {
         name      = "gateway"
@@ -283,8 +322,10 @@ resource "aws_ecs_task_definition" "gateway" {
           local.billing_metrics_env,
           local.gateway_extra_env_list,
           local.proxy_config_env,
+          local.metrics_env,
         )
-        secrets = concat(local.shared_secrets, local.gateway_extra_secrets_list)
+        secrets     = concat(local.shared_secrets, local.gateway_extra_secrets_list)
+        mountPoints = local.metrics_mount_points
 
         # Container-level healthCheck intentionally omitted — the wolfi
         # runtime image doesn't ship curl/wget. The ALB target group polls
@@ -301,7 +342,14 @@ resource "aws_ecs_task_definition" "gateway" {
       },
       local.gateway_proxy_overrides,
     )
-  ])
+  ], local.gateway_metrics_container))
+
+  dynamic "volume" {
+    for_each = local.metrics_enabled ? [1] : []
+    content {
+      name = local.metrics_volume
+    }
+  }
 
   tags = local.tags
 }
diff --git a/terraform/litellm/aws/examples/default/main.tf b/terraform/litellm/aws/examples/default/main.tf
index 2eeaf6adb50..115003f7ddd 100644
--- a/terraform/litellm/aws/examples/default/main.tf
+++ b/terraform/litellm/aws/examples/default/main.tf
@@ -48,4 +48,7 @@ module "litellm" {
   backend_extra_env     = var.backend_extra_env
   gateway_extra_secrets = var.gateway_extra_secrets
   backend_extra_secrets = var.backend_extra_secrets
+
+  gateway_metrics_port         = var.gateway_metrics_port
+  gateway_metrics_scrape_cidrs = var.gateway_metrics_scrape_cidrs
 }
diff --git a/terraform/litellm/aws/examples/default/terraform.tfvars.example b/terraform/litellm/aws/examples/default/terraform.tfvars.example
index 59301ea6aa5..880ecf56555 100644
--- a/terraform/litellm/aws/examples/default/terraform.tfvars.example
+++ b/terraform/litellm/aws/examples/default/terraform.tfvars.example
@@ -102,6 +102,13 @@ env    = "stage"
 #   }
 # }
 
+# ---------- Prometheus metrics sidecar ----------
+# Serve /metrics from a sidecar in the gateway task instead of the inference
+# workers. The port is not behind the ALB and has no auth: open it only to
+# your Prometheus subnets.
+# gateway_metrics_port         = 4001
+# gateway_metrics_scrape_cidrs = ["10.0.0.0/16"]
+
 # ---------- Extra env / secrets ----------
 # Plain-text env vars (non-sensitive). Land directly in the ECS task def.
 # gateway_extra_env = {
diff --git a/terraform/litellm/aws/examples/default/variables.tf b/terraform/litellm/aws/examples/default/variables.tf
index d8ab56b13af..f8140266fca 100644
--- a/terraform/litellm/aws/examples/default/variables.tf
+++ b/terraform/litellm/aws/examples/default/variables.tf
@@ -158,3 +158,15 @@ variable "backend_extra_secrets" {
   type        = map(string)
   default     = {}
 }
+
+variable "gateway_metrics_port" {
+  description = "Port for the Prometheus metrics sidecar in the gateway task. Null keeps /metrics on the gateway port only."
+  type        = number
+  default     = null
+}
+
+variable "gateway_metrics_scrape_cidrs" {
+  description = "CIDRs allowed to scrape gateway_metrics_port."
+  type        = list(string)
+  default     = []
+}
diff --git a/terraform/litellm/aws/network.tf b/terraform/litellm/aws/network.tf
index 4563eefbba5..c54949b4a59 100644
--- a/terraform/litellm/aws/network.tf
+++ b/terraform/litellm/aws/network.tf
@@ -156,6 +156,17 @@ resource "aws_security_group" "tasks" {
     security_groups = [aws_security_group.alb.id]
   }
 
+  dynamic "ingress" {
+    for_each = local.metrics_enabled && length(var.gateway_metrics_scrape_cidrs) > 0 ? [1] : []
+    content {
+      description = "Prometheus scrapers to the gateway metrics sidecar"
+      from_port   = var.gateway_metrics_port
+      to_port     = var.gateway_metrics_port
+      protocol    = "tcp"
+      cidr_blocks = var.gateway_metrics_scrape_cidrs
+    }
+  }
+
   egress {
     description = "All egress (LLM providers, RDS, Redis)"
     from_port   = 0
diff --git a/terraform/litellm/aws/tests/metrics_sidecar.tftest.hcl b/terraform/litellm/aws/tests/metrics_sidecar.tftest.hcl
new file mode 100644
index 00000000000..de839d7e5be
--- /dev/null
+++ b/terraform/litellm/aws/tests/metrics_sidecar.tftest.hcl
@@ -0,0 +1,108 @@
+# Plan-only coverage for the Prometheus metrics sidecar wiring. Offline via
+# mock_provider, same as byo_infrastructure.tftest.hcl.
+
+mock_provider "aws" {
+  mock_data "aws_iam_policy_document" {
+    defaults = {
+      json = "{\"Version\":\"2012-10-17\",\"Statement\":[]}"
+    }
+  }
+}
+mock_provider "random" {}
+
+variables {
+  region              = "us-east-1"
+  tenant              = "acme"
+  env                 = "test"
+  allow_plaintext_alb = true
+  azs                 = ["us-east-1a", "us-east-1b"]
+}
+
+run "defaults_change_nothing" {
+  command = plan
+
+  assert {
+    condition = alltrue([
+      length(local.gateway_metrics_container) == 0,
+      length(local.metrics_env) == 0,
+      length(local.metrics_mount_points) == 0,
+      length([for r in aws_security_group.tasks.ingress : r if r.description == "Prometheus scrapers to the gateway metrics sidecar"]) == 0,
+    ])
+    error_message = "The metrics sidecar, its env, its volume, and its security-group rule must all be absent by default."
+  }
+}
+
+run "metrics_port_adds_a_sidecar_volume_and_scrape_rule" {
+  command = plan
+
+  variables {
+    gateway_metrics_port         = 9464
+    gateway_metrics_scrape_cidrs = ["10.20.0.0/16"]
+  }
+
+  assert {
+    condition     = length(local.metrics_env) == 1 && local.metrics_env[0].name == "PROMETHEUS_MULTIPROC_DIR" && local.metrics_env[0].value == "/tmp/litellm_prometheus_multiproc"
+    error_message = "The gateway workers must write multiprocess samples to the shared dir."
+  }
+
+  assert {
+    condition     = length(local.metrics_mount_points) == 1 && local.metrics_mount_points[0].sourceVolume == "prometheus-multiproc" && local.metrics_mount_points[0].containerPath == "/tmp/litellm_prometheus_multiproc"
+    error_message = "Gateway and sidecar must mount the same task volume at the multiproc dir."
+  }
+
+  assert {
+    condition = alltrue([
+      length(local.gateway_metrics_container) == 1,
+      local.gateway_metrics_container[0].name == "metrics",
+      local.gateway_metrics_container[0].essential == false,
+      join(" ", local.gateway_metrics_container[0].entryPoint) == "python -m litellm.proxy.prometheus_metrics_server",
+      join(" ", local.gateway_metrics_container[0].command) == "--port 9464",
+      one(local.gateway_metrics_container[0].portMappings).containerPort == 9464,
+      one(local.gateway_metrics_container[0].environment).value == "/tmp/litellm_prometheus_multiproc",
+      one(local.gateway_metrics_container[0].mountPoints).sourceVolume == "prometheus-multiproc",
+      strcontains(local.gateway_metrics_container[0].healthCheck.command[3], "9464"),
+    ])
+    error_message = "The metrics sidecar must run prometheus_metrics_server on the configured port, share the multiproc volume, and health-check that port."
+  }
+
+  assert {
+    condition     = length(aws_ecs_task_definition.gateway.volume) == 1 && one(aws_ecs_task_definition.gateway.volume).name == "prometheus-multiproc"
+    error_message = "The gateway task must declare the multiproc volume."
+  }
+
+  assert {
+    condition = length([
+      for r in aws_security_group.tasks.ingress : r
+      if r.from_port == 9464 && r.to_port == 9464 && r.protocol == "tcp" && r.cidr_blocks == tolist(["10.20.0.0/16"])
+    ]) == 1
+    error_message = "The scrape CIDRs must be allowed to reach the metrics port on the tasks security group."
+  }
+
+  assert {
+    condition     = aws_lb_target_group.gateway.port == 4000 && one(aws_ecs_service.gateway.load_balancer).container_port == 4000
+    error_message = "The ALB must keep targeting the gateway port only; the metrics port is never load balanced."
+  }
+}
+
+run "metrics_port_without_scrape_cidrs_opens_nothing" {
+  command = plan
+
+  variables {
+    gateway_metrics_port = 9464
+  }
+
+  assert {
+    condition     = length(local.gateway_metrics_container) == 1 && length([for r in aws_security_group.tasks.ingress : r if r.from_port == 9464]) == 0
+    error_message = "Without scrape CIDRs the sidecar runs but the metrics port stays closed to everything but the ALB group."
+  }
+}
+
+run "metrics_port_may_not_reuse_the_gateway_port" {
+  command = plan
+
+  variables {
+    gateway_metrics_port = 4000
+  }
+
+  expect_failures = [var.gateway_metrics_port]
+}
diff --git a/terraform/litellm/aws/variables.tf b/terraform/litellm/aws/variables.tf
index 522138953d6..667f6db63c9 100644
--- a/terraform/litellm/aws/variables.tf
+++ b/terraform/litellm/aws/variables.tf
@@ -549,6 +549,44 @@ variable "proxy_config" {
   default     = {}
 }
 
+# ---------- Prometheus metrics sidecar ----------
+
+variable "gateway_metrics_port" {
+  description = <<-EOT
+    Serve Prometheus /metrics from a `metrics` sidecar container in the
+    gateway task on this port (1-65535, not 4000), so a scrape never runs on
+    an inference worker. The sidecar runs the gateway image with
+    `python -m litellm.proxy.prometheus_metrics_server` and aggregates the
+    workers' PROMETHEUS_MULTIPROC_DIR samples over a task volume. Null (the
+    default) leaves /metrics on the gateway port only. The sidecar port has
+    no virtual-key auth and is not routed through the ALB; open it to your
+    scrapers with gateway_metrics_scrape_cidrs. Needs gateway_image v1.101.0
+    or newer.
+  EOT
+  type        = number
+  default     = null
+
+  validation {
+    condition     = var.gateway_metrics_port == null || (var.gateway_metrics_port >= 1 && var.gateway_metrics_port <= 65535 && var.gateway_metrics_port != 4000)
+    error_message = "gateway_metrics_port must be between 1 and 65535 and must not be 4000 (the gateway port)."
+  }
+}
+
+variable "gateway_metrics_scrape_cidrs" {
+  description = <<-EOT
+    CIDR blocks allowed to reach gateway_metrics_port on the gateway tasks
+    (your Prometheus or collector subnets). Empty by default, so only the
+    ALB can reach the tasks. Ignored when gateway_metrics_port is null.
+  EOT
+  type        = list(string)
+  default     = []
+
+  validation {
+    condition     = alltrue([for c in var.gateway_metrics_scrape_cidrs : can(cidrnetmask(c))])
+    error_message = "gateway_metrics_scrape_cidrs must contain valid IPv4 CIDR blocks."
+  }
+}
+
 variable "log_retention_days" {
   description = "CloudWatch log retention for the three services."
   type        = number
diff --git a/tests/test_litellm/proxy/proxy_server/test_lifecycle.py b/tests/test_litellm/proxy/proxy_server/test_lifecycle.py
index 7db85dc6943..dafe686c4f2 100644
--- a/tests/test_litellm/proxy/proxy_server/test_lifecycle.py
+++ b/tests/test_litellm/proxy/proxy_server/test_lifecycle.py
@@ -22,6 +22,7 @@ import inspect
 import json
 import logging
 import os
+import subprocess
 from collections.abc import Awaitable, Callable
 from typing import List, Optional, Union
 from unittest.mock import AsyncMock, MagicMock, patch
@@ -749,6 +750,30 @@ async def test_proxy_startup_event_invalid_missing_app_arg_raises():
             pass
 
 
+@pytest.mark.asyncio
+async def test_proxy_startup_event_prunes_dead_workers_live_gauges(tmp_path):
+    """With PROMETHEUS_MULTIPROC_DIR set, a booting worker drops the live-gauge files of pids that no longer
+    exist, so a crashed worker's in-flight samples leave the aggregate as soon as its replacement starts."""
+    exited = subprocess.Popen(["true"])
+    assert exited.wait(timeout=30) == 0
+    stale = tmp_path / f"gauge_livesum_{exited.pid}.db"
+    stale.touch()
+    counter = tmp_path / f"counter_{exited.pid}.db"
+    counter.touch()
+
+    clean_env = {k: v for k, v in os.environ.items() if k not in ("DATABASE_URL", "DIRECT_URL")}
+    clean_env["PROMETHEUS_MULTIPROC_DIR"] = str(tmp_path)
+    with patch.dict(os.environ, clean_env, clear=True):
+        try:
+            async with proxy_startup_event(app=None):
+                pass
+        except Exception:
+            pass
+
+    assert not stale.exists()
+    assert counter.exists()
+
+
 def test_otel_global_provider_published_after_callback_init():
     """The OTel V2 global-provider publish must run after callback
     initialization in ``proxy_startup_event``.
diff --git a/tests/test_litellm/proxy/test_prometheus_cleanup.py b/tests/test_litellm/proxy/test_prometheus_cleanup.py
index 93b9b694c2c..6a1b95c51ff 100644
--- a/tests/test_litellm/proxy/test_prometheus_cleanup.py
+++ b/tests/test_litellm/proxy/test_prometheus_cleanup.py
@@ -6,13 +6,77 @@ ProxyInitializationHelpers._maybe_setup_prometheus_multiproc_dir.
 from __future__ import annotations
 
 import os
+import subprocess
+import sys
+from pathlib import Path
+from typing import Final
 from unittest.mock import patch
 
 import pytest
+from prometheus_client import CollectorRegistry, multiprocess
 
-from litellm.proxy.prometheus_cleanup import mark_worker_exit, wipe_directory
+from litellm.proxy.prometheus_cleanup import mark_dead_workers, mark_worker_exit, wipe_directory
 from litellm.proxy.proxy_cli import ProxyInitializationHelpers
 
+_WORKER: Final = """
+import sys, time
+from prometheus_client import Gauge
+Gauge("litellm_in_flight", "", multiprocess_mode="livesum").set(float(sys.argv[1]))
+print("ready", flush=True)
+if sys.argv[2] == "stay":
+    time.sleep(120)
+"""
+
+
+def _spawn_worker(directory: Path, in_flight: str, lifetime: str) -> subprocess.Popen[str]:
+    env = {**os.environ, "PROMETHEUS_MULTIPROC_DIR": str(directory)}
+    worker = subprocess.Popen(
+        [sys.executable, "-c", _WORKER, in_flight, lifetime], env=env, stdout=subprocess.PIPE, text=True
+    )
+    assert worker.stdout is not None and worker.stdout.readline() == "ready\n"
+    return worker
+
+
+def _livesum(directory: Path) -> float:
+    registry = CollectorRegistry()
+    multiprocess.MultiProcessCollector(registry, path=str(directory))
+    value = registry.get_sample_value("litellm_in_flight")
+    return 0.0 if value is None else value
+
+
+class TestMarkDeadWorkers:
+    def test_drops_live_gauges_of_exited_workers_and_keeps_running_ones(self, tmp_path: Path) -> None:
+        """A worker that died mid-request leaves its livesum file behind; the replacement worker's startup prune
+        must remove exactly that file so the aggregate stops counting requests nobody is serving."""
+        dead = _spawn_worker(tmp_path, "3", "exit")
+        assert dead.wait(timeout=30) == 0
+        alive = _spawn_worker(tmp_path, "2", "stay")
+        try:
+            assert (tmp_path / f"gauge_livesum_{dead.pid}.db").exists()
+            assert _livesum(tmp_path) == 5.0
+
+            assert mark_dead_workers(str(tmp_path)) == (dead.pid,)
+
+            assert not (tmp_path / f"gauge_livesum_{dead.pid}.db").exists()
+            assert (tmp_path / f"gauge_livesum_{alive.pid}.db").exists()
+            assert _livesum(tmp_path) == 2.0
+            assert mark_dead_workers(str(tmp_path)) == ()
+        finally:
+            alive.kill()
+            alive.wait(timeout=30)
+
+    def test_leaves_counters_of_exited_workers_alone(self, tmp_path: Path) -> None:
+        (tmp_path / "counter_424242.db").touch()
+        (tmp_path / "histogram_424242.db").touch()
+        assert mark_dead_workers(str(tmp_path)) == ()
+        assert sorted(p.name for p in tmp_path.glob("*.db")) == ["counter_424242.db", "histogram_424242.db"]
+
+    def test_keeps_live_gauges_of_workers_it_may_not_signal(self, tmp_path: Path) -> None:
+        """Signal 0 to pid 1 raises PermissionError for an unprivileged proxy; that pid is alive, not dead."""
+        (tmp_path / "gauge_livesum_1.db").touch()
+        assert mark_dead_workers(str(tmp_path)) == ()
+        assert (tmp_path / "gauge_livesum_1.db").exists()
+
 
 class TestWipeDirectory:
     def test_deletes_all_db_files(self, tmp_path):
diff --git a/tests/test_litellm/proxy/test_prometheus_metrics_server.py b/tests/test_litellm/proxy/test_prometheus_metrics_server.py
index fc1fa381fa4..e2f461e61a6 100644
--- a/tests/test_litellm/proxy/test_prometheus_metrics_server.py
+++ b/tests/test_litellm/proxy/test_prometheus_metrics_server.py
@@ -1,5 +1,5 @@
-"""The separate metrics server must aggregate PROMETHEUS_MULTIPROC_DIR, expose only /metrics, and follow its
-parent's lifetime.
+"""The separate metrics server must aggregate PROMETHEUS_MULTIPROC_DIR, expose /metrics plus a probe-friendly
+/health, and follow its parent's lifetime.
 
 Everything here runs on loopback against a child of this test process; no LLM keys or external network.
 """
@@ -91,7 +91,10 @@ def test_metrics_app_aggregates_multiproc_dir_and_reports_pid(tmp_path: Path, mo
     assert metrics.headers[PID_HEADER] == str(os.getpid())
     assert 'litellm_requests_metric_total{model="gpt-5"} 5.0' in metrics.text
 
-    assert client.get("/health").status_code == 404
+    health: Final = client.get("/health")
+    assert health.status_code == 200
+    assert health.json() == {"status": "healthy", "multiproc_dir": str(tmp_path)}
+    assert client.get("/docs").status_code == 404
 
     empty: Final = TestClient(build_metrics_app(str(other_dir))).get("/metrics")
     assert empty.status_code == 200
diff --git a/tests/test_litellm/test_component_entrypoint.py b/tests/test_litellm/test_component_entrypoint.py
index b0969e2c694..09837d2b233 100644
--- a/tests/test_litellm/test_component_entrypoint.py
+++ b/tests/test_litellm/test_component_entrypoint.py
@@ -223,6 +223,59 @@ def test_gating_matches_the_monolithic_entrypoint_and_get_secret_bool(
     assert monolith[1] == ("args=litellm --port 4000" if traced else "args=--port 4000")
 
 
+def test_wipes_the_prometheus_multiproc_dir_before_uvicorn_forks(tmp_path: Path) -> None:
+    """A restarted container inherits the emptyDir of its predecessor, whose worker pids it may reuse, so the
+    stale .db files must be gone before any worker opens the one carrying its own pid."""
+    multiproc_dir = tmp_path / "multiproc"
+    multiproc_dir.mkdir()
+    (multiproc_dir / "gauge_livesum_7.db").write_bytes(b"stale")
+    (multiproc_dir / "counter_7.db").write_bytes(b"stale")
+    (multiproc_dir / "keep.txt").write_text("not a sample")
+
+    bin_dir = tmp_path / "bin"
+    bin_dir.mkdir()
+    _write_stubs(bin_dir, ("uvicorn",))
+    record = tmp_path / "record.txt"
+    env = {
+        **os.environ,
+        "PATH": f"{bin_dir}{os.pathsep}{os.environ['PATH']}",
+        "RECORD": str(record),
+        "PROMETHEUS_MULTIPROC_DIR": str(multiproc_dir),
+    }
+    env.pop("USE_DDTRACE", None)
+    result = subprocess.run(
+        ["sh", str(COMPONENT_ENTRYPOINT), "uvicorn", "gateway.main:app"],
+        env=env,
+        capture_output=True,
+        text=True,
+        check=False,
+    )
+
+    assert result.returncode == 0, f"stdout={result.stdout} stderr={result.stderr}"
+    assert sorted(p.name for p in multiproc_dir.iterdir()) == ["keep.txt"]
+    assert record.read_text().splitlines()[0] == "exec=uvicorn"
+
+
+def test_creates_a_missing_prometheus_multiproc_dir(tmp_path: Path) -> None:
+    bin_dir = tmp_path / "bin"
+    bin_dir.mkdir()
+    _write_stubs(bin_dir, ("uvicorn",))
+    missing = tmp_path / "multiproc"
+    env = {
+        **os.environ,
+        "PATH": f"{bin_dir}{os.pathsep}{os.environ['PATH']}",
+        "RECORD": str(tmp_path / "record.txt"),
+        "PROMETHEUS_MULTIPROC_DIR": str(missing),
+    }
+    env.pop("USE_DDTRACE", None)
+    result = subprocess.run(
+        ["sh", str(COMPONENT_ENTRYPOINT), "uvicorn", "gateway.main:app"], env=env, capture_output=True, text=True
+    )
+
+    assert result.returncode == 0, f"stdout={result.stdout} stderr={result.stderr}"
+    assert missing.is_dir()
+
+
 def _copied_script(dockerfile: Path, image_path: str) -> Path:
     """Resolve the repo file a Dockerfile `COPY`s to `image_path`, so tests run what the image ships."""
     matches = _COPY_RE.findall(dockerfile.read_text())

From 0175c7da1c9c3d6f71c77c52436f250d43c3a8a3 Mon Sep 17 00:00:00 2001
From: tin-berri <tin@berri.ai>
Date: Tue, 8 Sep 2026 13:31:28 -0700
Subject: [PATCH 124/223] feat(router): resolve max_tokens to the tier model's
 ceiling on auto-routed requests (#40209)

A client behind an auto-router sends one max_tokens for every tier, so a value
sized for the smallest tier starves a bigger tier's thinking budget and a value
sized for the biggest is rejected by the smallest. After the complexity router
picks a tier, its per-tier litellm_params now carry max_tokens set to the
smallest max_output_tokens across that tier model's deployments (model_info,
then the cost map), applied the same way a per-tier reasoning_effort already
is, on every routing exit including plan mode, the empty-ask default and the
classifier fallback. The router seam collapses whichever ceiling alias a tier
carries onto the surface's own name, so one tier max_tokens reaches chat,
/v1/messages and /v1/responses alike, drops the caller's other carriers of the
same setting before the merge, and stamps the caller's original once so a
fallback into a group no tier owns gets it back instead of a ceiling sized for
the tier that failed.

Proxy-level reservations were sized from the caller's cap before routing, so a
raised cap left them short. Both owners now re-validate at the deployment hook:
the v3 limiter tops up its combined-TPM and project-OTPM reservations to the
final cap or writes the admitted cap back, and the budget limiter re-estimates
on the chosen deployment and grows the reservation or writes the admitted cap
back. An auto-router alias also reserves budget at its priciest tier model now
instead of pricing to zero.

An explicit per-tier max_tokens, max_completion_tokens or max_output_tokens
still wins, and max_tokens_from_tier_model: false forwards the caller's value
unchanged.
---
 litellm/constants.py                          |   2 +
 litellm/proxy/common_utils/callback_utils.py  |   2 +
 litellm/proxy/litellm_pre_call_utils.py       |   5 +-
 litellm/router.py                             | 150 ++++++-
 .../complexity_router/complexity_router.py    |  57 ++-
 .../complexity_router/config.py               |  14 +
 .../proxy/test_litellm_pre_call_utils.py      |   8 +-
 .../router_strategy/test_complexity_router.py | 392 +++++++++++++++++-
 ui/litellm-dashboard/src/lib/http/schema.d.ts |   6 +
 9 files changed, 602 insertions(+), 34 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index 8ef9523a60a..8a6a044ff7b 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -1461,6 +1461,8 @@ LITELLM_METADATA_FIELD: Final = "litellm_metadata"
 OLD_LITELLM_METADATA_FIELD: Final = "metadata"
 RETURN_RAW_MODEL_NAME_METADATA_KEY: Final = "_complexity_router_return_raw_model_name"
 SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: Final = "_session_deployment_affinity_ttl"
+OUTPUT_TOKEN_CEILING_PARAMS: Final = frozenset({"max_tokens", "max_completion_tokens", "max_output_tokens"})
+CLIENT_OUTPUT_CEILING_METADATA_KEY: Final = "_client_output_ceiling"
 CONSUMED_REQUEST_TAGS_METADATA_KEY: Final = "_consumed_request_tags"
 INTERNAL_CALL_ORIGIN_METADATA_KEY: Final = "internal_call_origin"
 SESSION_ID_GENERATED_METADATA_KEY: Final = "litellm_session_id_generated"
diff --git a/litellm/proxy/common_utils/callback_utils.py b/litellm/proxy/common_utils/callback_utils.py
index 39e74d2c8bd..d9d56778405 100644
--- a/litellm/proxy/common_utils/callback_utils.py
+++ b/litellm/proxy/common_utils/callback_utils.py
@@ -10,6 +10,7 @@ import litellm
 from litellm import get_secret
 from litellm._logging import verbose_proxy_logger
 from litellm.constants import (
+    CLIENT_OUTPUT_CEILING_METADATA_KEY,
     CONSUMED_REQUEST_TAGS_METADATA_KEY,
     PRE_CALL_EXECUTED_GUARDRAILS_KEY,
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
@@ -507,6 +508,7 @@ LITELLM_PROXY_INTERNAL_METADATA_KEYS: Final = frozenset(
         PRE_CALL_EXECUTED_GUARDRAILS_KEY,
         SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
         CONSUMED_REQUEST_TAGS_METADATA_KEY,
+        CLIENT_OUTPUT_CEILING_METADATA_KEY,
         "disable_global_guardrails",
         "disable_global_guardrail",
         "opted_out_global_guardrails",
diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index 3c186e19829..893174dab03 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -18,6 +18,7 @@ from litellm._logging import verbose_logger, verbose_proxy_logger
 from litellm._service_logger import ServiceLogging
 from litellm._uuid import uuid
 from litellm.constants import (
+    CLIENT_OUTPUT_CEILING_METADATA_KEY,
     CONSUMED_REQUEST_TAGS_METADATA_KEY,
     INTERNAL_CALL_ORIGIN_METADATA_KEY,
     LITELLM_PROXY_MASTER_KEY_ALIAS,
@@ -325,7 +326,9 @@ _CLIENT_PRICING_METADATA_FIELDS: Final = frozenset({"model_info", "standard_logg
 # ``attempted_fallbacks`` and ``original_model_group`` are written by the router
 # and read by spend logs as fact; a client value has no legitimate meaning and no
 # key or team setting keeps it, so the strip is never gated.
-_ROUTER_RESERVED_METADATA_FIELDS: Final = frozenset({"attempted_fallbacks", "original_model_group"})
+_ROUTER_RESERVED_METADATA_FIELDS: Final = frozenset(
+    {"attempted_fallbacks", "original_model_group", CLIENT_OUTPUT_CEILING_METADATA_KEY}
+)
 _ALLOW_CLIENT_PRICING_OVERRIDE_METADATA_KEY: Final = "allow_client_pricing_override"
 
 # Request fields whose value, when URL-valued, becomes the outbound destination
diff --git a/litellm/router.py b/litellm/router.py
index 843b916d90f..cf62ce1eb2d 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -21,7 +21,16 @@ import time
 import traceback
 import weakref
 from collections import defaultdict
-from collections.abc import AsyncGenerator, AsyncIterator, Callable, Generator, Iterator, Mapping, Sequence
+from collections.abc import (
+    AsyncGenerator,
+    AsyncIterator,
+    Callable,
+    Generator,
+    Iterator,
+    Mapping,
+    MutableMapping,
+    Sequence,
+)
 from functools import lru_cache, partial
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, Literal, Optional, TypeAlias, TypeVar, Union, cast
@@ -45,12 +54,14 @@ from litellm.caching.caching import (
     RedisClusterCache,
 )
 from litellm.constants import (
+    CLIENT_OUTPUT_CEILING_METADATA_KEY,
     CONSUMED_REQUEST_TAGS_METADATA_KEY,
     DEFAULT_AUTO_ROUTER_MAX_INPUT_CHARS,
     DEFAULT_HEALTH_CHECK_INTERVAL,
     DEFAULT_HEALTH_CHECK_STALENESS_MULTIPLIER,
     DEFAULT_MAX_LRU_CACHE_SIZE,
     INTERNAL_CALL_ORIGIN_METADATA_KEY,
+    OUTPUT_TOKEN_CEILING_PARAMS,
     RUNTIME_UPDATABLE_ROUTER_SETTINGS,
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
 )
@@ -648,6 +659,18 @@ class FallbackAwareStreamWrapper(CustomStreamWrapper):
         self.fallback_headers_adopted = True
 
 
+def as_output_cap(value: object) -> int | None:
+    """A client-sent output cap coerced to an int: ints, floats and numeric strings, never bools
+    or negatives."""
+    if isinstance(value, bool) or not isinstance(value, (int, float, str)):
+        return None
+    try:
+        cap: Final = int(float(value))
+    except (ValueError, OverflowError):
+        return None
+    return cap if cap >= 0 else None
+
+
 class Router:
     model_names: set = set()
     cache_responses: bool | None = False
@@ -12606,7 +12629,83 @@ class Router:
             request_kwargs.pop(carrier, None)
 
     @staticmethod
-    def _drop_client_effort_carriers_a_tier_pin_supersedes(
+    def _tier_ceiling_under_the_surface_name(
+        tier_litellm_params: Mapping[str, object], responses_call: bool
+    ) -> Mapping[str, object]:
+        """``max_tokens``, ``max_completion_tokens`` and ``max_output_tokens`` are one
+        ceiling under three names, and each surface reads exactly one of them: the
+        Responses bridge builds its internal ``max_tokens`` from ``max_output_tokens``
+        and would overwrite the tier's, chat and /v1/messages never read
+        ``max_output_tokens``, and litellm already renames ``max_tokens`` to
+        ``max_completion_tokens`` for the OpenAI models that require it. Collapse
+        whatever the tier carries onto the surface's own name, preferring a value the
+        operator already wrote under that name."""
+        surface_key: Final = "max_output_tokens" if responses_call else "max_tokens"
+        carried: Final = tuple(
+            key
+            for key in (surface_key, "max_tokens", "max_completion_tokens", "max_output_tokens")
+            if key in tier_litellm_params
+        )
+        if not carried:
+            return tier_litellm_params
+        return MappingProxyType(
+            {
+                **{k: v for k, v in tier_litellm_params.items() if k not in OUTPUT_TOKEN_CEILING_PARAMS},
+                surface_key: tier_litellm_params[carried[0]],
+            }
+        )
+
+    def _pin_tier_params_onto_request(
+        self,
+        model: str,
+        tier_litellm_params: Mapping[str, object] | None,
+        request_kwargs: dict,
+        responses_call: bool,
+    ) -> bool:
+        """Apply a routing strategy's per-tier litellm_params on top of the request and report
+        whether they pinned an output ceiling, so the caller can hand the request its own ceiling
+        back on a routing pass that pins none."""
+        if not tier_litellm_params:
+            return False
+        accepted_tier_params: Final = self._tier_params_the_target_accepts(model, tier_litellm_params, request_kwargs)
+        surface_tier_params: Final = self._tier_ceiling_under_the_surface_name(
+            accepted_tier_params, responses_call=responses_call
+        )
+        self._drop_client_carriers_a_tier_pin_supersedes(request_kwargs, surface_tier_params)
+        request_kwargs.update(surface_tier_params)
+        return not OUTPUT_TOKEN_CEILING_PARAMS.isdisjoint(surface_tier_params)
+
+    @staticmethod
+    def _restore_client_ceiling_no_tier_pins(request_kwargs: MutableMapping[str, object]) -> None:
+        """A model-group fallback re-enters routing with the kwargs an earlier auto-router pass
+        already rewrote, so a ceiling sized for that pass's tier would ride onto a group no tier
+        chose. When this pass pins none, hand the request back exactly the carriers the caller
+        sent, which the first pinning pass stamped. The stamp lives in a metadata bucket a
+        caller can also write, so the proxy strips the key at ingestion and this read takes
+        nothing but the three ceiling carriers as integers: no other key ever reaches kwargs."""
+        stamped: Final = next(
+            (
+                bucket.get(CLIENT_OUTPUT_CEILING_METADATA_KEY)
+                for bucket in (request_kwargs.get("metadata"), request_kwargs.get("litellm_metadata"))
+                if isinstance(bucket, dict) and CLIENT_OUTPUT_CEILING_METADATA_KEY in bucket
+            ),
+            None,
+        )
+        if not isinstance(stamped, dict):
+            return
+        callers_ceiling: Final = MappingProxyType(
+            {
+                carrier: cap
+                for carrier, value in stamped.items()
+                if carrier in OUTPUT_TOKEN_CEILING_PARAMS and (cap := as_output_cap(value)) is not None
+            }
+        )
+        for carrier in OUTPUT_TOKEN_CEILING_PARAMS:
+            request_kwargs.pop(carrier, None)
+        request_kwargs.update(callers_ceiling)
+
+    @staticmethod
+    def _drop_client_carriers_a_tier_pin_supersedes(
         request_kwargs: dict[str, object],
         tier_litellm_params: Mapping[str, object],
     ) -> None:
@@ -12616,7 +12715,22 @@ class Router:
         the ``reasoning_effort`` alias, so a pinned effort only reaches the wire
         if the client's other encodings are removed before the merge. Non-effort
         fields a carrier also holds (``output_config.format``,
-        ``reasoning.summary``) are kept."""
+        ``reasoning.summary``) are kept. An output ceiling has the same shape:
+        ``max_tokens``, ``max_completion_tokens`` and ``max_output_tokens`` are
+        one setting under three names, and a provider handed two of them either
+        rejects the request or picks one by iteration order."""
+        if not OUTPUT_TOKEN_CEILING_PARAMS.isdisjoint(tier_litellm_params):
+            _, metadata_bucket = get_or_create_metadata_bucket(request_kwargs)
+            metadata_bucket.setdefault(
+                CLIENT_OUTPUT_CEILING_METADATA_KEY,
+                {
+                    carrier: request_kwargs[carrier]
+                    for carrier in OUTPUT_TOKEN_CEILING_PARAMS
+                    if carrier in request_kwargs
+                },
+            )
+            for carrier in OUTPUT_TOKEN_CEILING_PARAMS:
+                request_kwargs.pop(carrier, None)
         if "reasoning_effort" not in tier_litellm_params:
             return
         request_kwargs.pop("thinking", None)
@@ -12657,6 +12771,7 @@ class Router:
             # Execute Pre-Routing Hooks
             # this hook can modify the model, messages before the routing decision is made
             #########################################################
+            responses_call: Final = input is not None and messages is None
             pre_routing_hook_response: Final = await self.async_pre_routing_hook(
                 model=model,
                 request_kwargs=request_kwargs,
@@ -12668,12 +12783,14 @@ class Router:
                 model = pre_routing_hook_response.model
                 messages = pre_routing_hook_response.messages
                 record_pre_routing_selection(request_kwargs, model)
-                if pre_routing_hook_response.litellm_params:
-                    accepted_tier_params: Final = self._tier_params_the_target_accepts(
-                        model, pre_routing_hook_response.litellm_params, request_kwargs
-                    )
-                    self._drop_client_effort_carriers_a_tier_pin_supersedes(request_kwargs, accepted_tier_params)
-                    request_kwargs.update(accepted_tier_params)
+            tier_pins_ceiling: Final = self._pin_tier_params_onto_request(
+                model=model,
+                tier_litellm_params=pre_routing_hook_response.litellm_params if pre_routing_hook_response else None,
+                request_kwargs=request_kwargs,
+                responses_call=responses_call,
+            )
+            if not tier_pins_ceiling:
+                self._restore_client_ceiling_no_tier_pins(request_kwargs)
             #########################################################
 
             # Resolve the strategy and logger AFTER the pre-routing hook, since
@@ -12773,6 +12890,7 @@ class Router:
             parent_otel_span: Final = _get_parent_otel_span_from_kwargs(request_kwargs)
 
             # 1. Execute pre-routing hook
+            responses_call: Final = input is not None and messages is None
             pre_routing_hook_response: Final = await self.async_pre_routing_hook(
                 model=model,
                 request_kwargs=request_kwargs,
@@ -12784,12 +12902,14 @@ class Router:
                 model = pre_routing_hook_response.model
                 messages = pre_routing_hook_response.messages
                 record_pre_routing_selection(request_kwargs, model)
-                if pre_routing_hook_response.litellm_params:
-                    accepted_tier_params: Final = self._tier_params_the_target_accepts(
-                        model, pre_routing_hook_response.litellm_params, request_kwargs
-                    )
-                    self._drop_client_effort_carriers_a_tier_pin_supersedes(request_kwargs, accepted_tier_params)
-                    request_kwargs.update(accepted_tier_params)
+            tier_pins_ceiling: Final = self._pin_tier_params_onto_request(
+                model=model,
+                tier_litellm_params=pre_routing_hook_response.litellm_params if pre_routing_hook_response else None,
+                request_kwargs=request_kwargs,
+                responses_call=responses_call,
+            )
+            if not tier_pins_ceiling:
+                self._restore_client_ceiling_no_tier_pins(request_kwargs)
 
             # 2. Get healthy deployments
             healthy_deployments: Final = await self.async_get_healthy_deployments(
diff --git a/litellm/router_strategy/complexity_router/complexity_router.py b/litellm/router_strategy/complexity_router/complexity_router.py
index ae1f82fc40b..f9b4f50c15c 100644
--- a/litellm/router_strategy/complexity_router/complexity_router.py
+++ b/litellm/router_strategy/complexity_router/complexity_router.py
@@ -31,6 +31,7 @@ from litellm._logging import verbose_router_logger
 from litellm.constants import (
     EMPTY_MAPPING,
     INTERNAL_CALL_ORIGIN_METADATA_KEY,
+    OUTPUT_TOKEN_CEILING_PARAMS,
     RETURN_RAW_MODEL_NAME_METADATA_KEY,
     SESSION_ID_GENERATED_METADATA_KEY,
 )
@@ -2110,11 +2111,15 @@ class ComplexityRouter(CustomLogger):
         raise ValueError(f"No model configured for tier {tier_key} and no default_model set")
 
     def _litellm_params_for_model(self, tier: ComplexityTier | str | None, model: str) -> Mapping[str, object]:
-        if tier is None:
-            return MappingProxyType({})
-        entries: Final = self.config.tier_model_configs.get(_tier_name(tier), ())
+        entries: Final = self.config.tier_model_configs.get(_tier_name(tier), ()) if tier is not None else ()
         entry: Final = next((candidate for candidate in entries if candidate.model_name == model), None)
-        return entry.litellm_params if entry is not None else MappingProxyType({})
+        explicit: Final = entry.litellm_params if entry is not None else MappingProxyType({})
+        if not self.config.max_tokens_from_tier_model or not OUTPUT_TOKEN_CEILING_PARAMS.isdisjoint(explicit):
+            return explicit
+        ceiling: Final = self._group_output_ceiling(model)
+        if ceiling is None:
+            return explicit
+        return MappingProxyType({**explicit, "max_tokens": ceiling})
 
     @staticmethod
     def _pick_from_tier_value(model: str | Sequence[str], tier_key: str) -> str:
@@ -2449,12 +2454,15 @@ class ComplexityRouter(CustomLogger):
         return name if self.config.has_custom_tiers else ComplexityTier(name)
 
     def _deployment_window(self, group: str, deployment: Mapping[str, object]) -> int | None:
+        return self._deployment_limit(group, deployment, "max_input_tokens")
+
+    def _deployment_limit(
+        self, group: str, deployment: Mapping[str, object], key: Literal["max_input_tokens", "max_output_tokens"]
+    ) -> int | None:
         from litellm.litellm_core_utils.get_llm_provider_logic import declared_authenticating_provider
 
         deployment_model_info: Final = deployment.get("model_info")
-        declared: Final = (
-            deployment_model_info.get("max_input_tokens") if isinstance(deployment_model_info, Mapping) else None
-        )
+        declared: Final = deployment_model_info.get(key) if isinstance(deployment_model_info, Mapping) else None
         if isinstance(declared, int):
             return declared
         litellm_params: Final = deployment.get("litellm_params")
@@ -2471,18 +2479,34 @@ class ComplexityRouter(CustomLogger):
                 deployment=cast(dict, deployment),  # cast-ok: router deployments are plain dicts
                 received_model_name=group,
             )
-            window: Final = model_info.get("max_input_tokens")
+            limit: Final = model_info.get(key)
         except Exception:  # noqa: BLE001  # best-effort: an unmappable deployment must not hide the others
             return None
-        return window if isinstance(window, int) else None
+        return limit if isinstance(limit, int) else None
+
+    def _group_deployments(self, group: str) -> Sequence[Mapping[str, object]]:
+        list_models: Final = getattr(self.litellm_router_instance, "get_model_list", None)
+        deployments: Final = list_models(model_name=group) if callable(list_models) else None
+        return tuple(deployments) if isinstance(deployments, list) else ()
+
+    def _group_output_ceiling(self, group: str) -> int | None:
+        """Smallest max_output_tokens across the group's deployments, or None when any deployment
+        declares none: the core router picks within the group without a fit check, and a ceiling
+        above an unmapped member's real limit is a provider 400 on that member."""
+        deployments: Final = self._group_deployments(group)
+        ceilings: Final = tuple(
+            ceiling
+            for deployment in deployments
+            if (ceiling := self._deployment_limit(group, deployment, "max_output_tokens")) is not None
+        )
+        return min(ceilings) if ceilings and len(ceilings) == len(deployments) else None
 
     def _group_window_facts(self, group: str) -> tuple[int | None, bool]:
         """(smallest declared context window across the group's deployments, whether any deployment
         declares none). The core router picks a deployment within the group without a fit check, so
         the group is only as safe as its smallest member."""
-        list_models: Final = getattr(self.litellm_router_instance, "get_model_list", None)
-        deployments: Final = list_models(model_name=group) if callable(list_models) else None
-        if not isinstance(deployments, list) or not deployments:
+        deployments: Final = self._group_deployments(group)
+        if not deployments:
             return (None, True)
         windows: Final = tuple(
             window for deployment in deployments if (window := self._deployment_window(group, deployment)) is not None
@@ -3531,6 +3555,7 @@ class ComplexityRouter(CustomLogger):
                     ComplexityTier.MEDIUM, messages, resolved_messages, request_kwargs
                 )
             fallback_tier: Final = None if default_model_first else ComplexityTier.MEDIUM
+            default_tier_params: Final = self._litellm_params_for_model(fallback_tier, routed_model)
             return PreRoutingHookResponse(
                 model=routed_model,
                 messages=messages if has_original_messages else None,
@@ -3539,7 +3564,9 @@ class ComplexityRouter(CustomLogger):
                     cause="default_fallback",
                     tier=fallback_tier,
                     conversation_continuing=conversation_continuing,
+                    tier_litellm_params=default_tier_params,
                 ),
+                litellm_params=default_tier_params,
             )
 
         ask: Final = user_message or ""
@@ -3566,6 +3593,7 @@ class ComplexityRouter(CustomLogger):
                 _tier_name(plan_floor),
                 routed_model,
             )
+            plan_tier_params: Final = self._litellm_params_for_model(plan_floor, routed_model)
             return PreRoutingHookResponse(
                 model=routed_model,
                 messages=messages if has_original_messages else None,
@@ -3577,7 +3605,9 @@ class ComplexityRouter(CustomLogger):
                     matched_keyword=plan_mode_sentinel,
                     escalation_keyword=escalation_keyword,
                     escalated=False,
+                    tier_litellm_params=plan_tier_params,
                 ),
+                litellm_params=plan_tier_params,
             )
 
         override: Final = await self._resolve_keyword_tier_override(ask, request_kwargs)
@@ -3670,6 +3700,7 @@ class ComplexityRouter(CustomLogger):
                 outcome.signals,
                 fallback_model,
             )
+            fallback_tier_params: Final = self._litellm_params_for_model(None, fallback_model)
             return PreRoutingHookResponse(
                 model=fallback_model,
                 messages=messages if has_original_messages else None,
@@ -3680,7 +3711,9 @@ class ComplexityRouter(CustomLogger):
                     signals=outcome.signals,
                     escalation_keyword=escalation_keyword,
                     escalated=False,
+                    tier_litellm_params=fallback_tier_params,
                 ),
+                litellm_params=fallback_tier_params,
             )
         if self.config.adaptive:
             # hard_floor rather than a hard pick, and passed whenever the sentinel is present
diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py
index 37375d9727d..58f56d746c5 100644
--- a/litellm/router_strategy/complexity_router/config.py
+++ b/litellm/router_strategy/complexity_router/config.py
@@ -1089,6 +1089,20 @@ class ComplexityRouterConfig(BaseModel):
             "wording the built-ins don't cover, or after a client release changes its strings."
         ),
     )
+    max_tokens_from_tier_model: bool = Field(
+        default=True,
+        description=(
+            "Set max_tokens on every routed request to the output ceiling of the tier model it "
+            "lands on, replacing whatever the caller sent. A caller behind an auto-router cannot "
+            "pick one value that fits every tier: the smallest tier's ceiling starves a bigger "
+            "tier's thinking budget, and a bigger tier's ceiling is rejected by the smallest. The "
+            "ceiling is the smallest max_output_tokens across the tier model's deployments, read "
+            "from each deployment's model_info and then the model cost map; a tier model with a "
+            "deployment whose ceiling is unknown keeps the caller's value. A max_tokens, "
+            "max_completion_tokens or max_output_tokens in the tier's own litellm_params still "
+            "wins. Set false to forward the caller's value unchanged."
+        ),
+    )
     route_housekeeping_to_cheapest_tier: bool = Field(
         default=True,
         description=(
diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
index 7070617ce3e..74799072984 100644
--- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
+++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
@@ -7272,7 +7272,12 @@ def _reserved_stamp_key(key_metadata: dict | None = None) -> UserAPIKeyAuth:
     )
 
 
-_PLANTED_STAMPS = {"attempted_fallbacks": 99, "original_model_group": "spoofed-group", "client_key": "client_value"}
+_PLANTED_STAMPS = {
+    "attempted_fallbacks": 99,
+    "original_model_group": "spoofed-group",
+    "_client_output_ceiling": {"api_base": "https://attacker.example"},
+    "client_key": "client_value",
+}
 
 
 @pytest.mark.asyncio
@@ -7301,6 +7306,7 @@ async def test_add_litellm_data_to_request_strips_router_reserved_stamps_from_bo
     assert "litellm_metadata" not in updated
     assert "attempted_fallbacks" not in updated["metadata"]
     assert "original_model_group" not in updated["metadata"]
+    assert "_client_output_ceiling" not in updated["metadata"]
     assert updated["metadata"]["client_key"] == "client_value"
 
 
diff --git a/tests/test_litellm/router_strategy/test_complexity_router.py b/tests/test_litellm/router_strategy/test_complexity_router.py
index b0f2a65bb9b..565e77b0ae0 100644
--- a/tests/test_litellm/router_strategy/test_complexity_router.py
+++ b/tests/test_litellm/router_strategy/test_complexity_router.py
@@ -16,6 +16,7 @@ from pydantic import ValidationError
 
 import litellm
 from litellm import Router
+from litellm.integrations.custom_logger import CustomLogger
 from litellm.router_utils.auto_router_model_naming import (
     CUSTOMIZATION_CAPABILITY,
     GATED_AUTO_ROUTER_CAPABILITIES,
@@ -24,7 +25,12 @@ from litellm.router_utils.auto_router_model_naming import (
 )
 from litellm._logging import verbose_router_logger
 from litellm.caching.dual_cache import DualCache
-from litellm.constants import RETURN_RAW_MODEL_NAME_METADATA_KEY, SESSION_ID_GENERATED_METADATA_KEY
+from litellm.constants import (
+    OUTPUT_TOKEN_CEILING_PARAMS,
+    RETURN_RAW_MODEL_NAME_METADATA_KEY,
+    SESSION_ID_GENERATED_METADATA_KEY,
+)
+from litellm.router import as_output_cap
 from litellm.router_strategy.complexity_router.complexity_router import (
     _CLASSIFICATION_CURRENT_MESSAGE_ONLY,
     _CLASSIFICATION_WITH_CONVERSATION,
@@ -3415,11 +3421,11 @@ class TestRouterPreRoutingAliasOverrides:
 
     def test_drop_client_effort_carriers_helper_edge_shapes(self):
         no_pin: Dict = {"thinking": {"type": "adaptive"}}
-        Router._drop_client_effort_carriers_a_tier_pin_supersedes(no_pin, {"temperature": 0.1})
+        Router._drop_client_carriers_a_tier_pin_supersedes(no_pin, {"temperature": 0.1})
         assert no_pin == {"thinking": {"type": "adaptive"}}
 
         non_dict_carriers: Dict = {"output_config": "max", "reasoning": 3}
-        Router._drop_client_effort_carriers_a_tier_pin_supersedes(non_dict_carriers, {"reasoning_effort": "low"})
+        Router._drop_client_carriers_a_tier_pin_supersedes(non_dict_carriers, {"reasoning_effort": "low"})
         assert non_dict_carriers == {"output_config": "max", "reasoning": 3}
 
         effort_only: Dict = {"output_config": {"effort": "max"}, "reasoning": {"effort": "high"}}
@@ -3873,11 +3879,11 @@ class TestRouterPreRoutingSharedAliasName:
         }
 
     @staticmethod
-    async def _routed_call_kwargs(router: Router, **request_params) -> dict:
+    async def _routed_call_kwargs(router: Router, prompt: str = "hi", **request_params) -> dict:
         mock_acompletion = AsyncMock(return_value=litellm.ModelResponse(choices=[{"message": {"content": "hi"}}]))
         with patch.object(litellm, "acompletion", mock_acompletion):
             await router.acompletion(
-                model="smart-router", messages=[{"role": "user", "content": "hi"}], **request_params
+                model="smart-router", messages=[{"role": "user", "content": prompt}], **request_params
             )
         return mock_acompletion.call_args.kwargs
 
@@ -13278,3 +13284,379 @@ class TestClassifierVision:
     def test_max_images_must_be_positive(self):
         with pytest.raises(ValidationError):
             ClassifierLLMConfig(model="clf", vision={"enabled": True, "max_images": 0})
+
+
+class TestMaxTokensFromTierModel:
+    """The auto-router replaces the caller's output ceiling with the tier model's own, so one
+    client-side value no longer starves a bigger tier or gets rejected by a smaller one."""
+
+    COMPLEX_PROMPT: Final = (
+        "Design a distributed rate limiter with Redis, sharding and failover. Analyze the consistency "
+        "tradeoffs and implement the algorithm step by step with tests."
+    )
+    SMALL: Final = {
+        "model_name": "small",
+        "litellm_params": {"model": "anthropic/claude-haiku-4-5", "api_key": "k"},
+        "model_info": {"max_output_tokens": 8192},
+    }
+
+    @staticmethod
+    def _router(
+        tier_litellm_params: dict | None = None,
+        max_tokens_from_tier_model: bool | None = None,
+        simple_deployments: list[dict] | None = None,
+        extra_config: dict | None = None,
+    ) -> Router:
+        simple_tier: dict = {"model_name": "small"}
+        if tier_litellm_params:
+            simple_tier["litellm_params"] = tier_litellm_params
+        config: dict = {
+            "tiers": {"SIMPLE": simple_tier, "MEDIUM": "big", "COMPLEX": "big", "REASONING": "big"},
+            **(extra_config or {}),
+        }
+        if max_tokens_from_tier_model is not None:
+            config["max_tokens_from_tier_model"] = max_tokens_from_tier_model
+        return Router(
+            model_list=[
+                {
+                    "model_name": "smart-router",
+                    "litellm_params": {"model": "auto_router/complexity_router", "complexity_router_config": config},
+                },
+                *(simple_deployments or [TestMaxTokensFromTierModel.SMALL]),
+                {
+                    "model_name": "big",
+                    "litellm_params": {"model": "anthropic/claude-sonnet-5", "api_key": "k"},
+                    "model_info": {"max_output_tokens": 64000},
+                },
+            ]
+        )
+
+    @staticmethod
+    async def _routed(router: Router, prompt: str = "hi", **request_kwargs) -> dict:
+        """Drive the real routing entry point and return the request kwargs it leaves behind."""
+        deployment = await router.async_get_available_deployment(
+            model="smart-router", request_kwargs=request_kwargs, messages=[{"role": "user", "content": prompt}]
+        )
+        return {"model": deployment["litellm_params"]["model"], **request_kwargs}
+
+    @staticmethod
+    async def _routed_responses(router: Router, prompt: str = "hi", **request_kwargs) -> dict:
+        """The Responses surface hands the router `input` both as the prompt argument and inside the
+        request kwargs, so the hook sees the same shape the real call carries."""
+        routed: dict = {"input": prompt, **request_kwargs}
+        deployment = await router.async_get_available_deployment(
+            model="smart-router", request_kwargs=routed, input=prompt
+        )
+        return {"model": deployment["litellm_params"]["model"], **routed}
+
+    @pytest.mark.asyncio
+    async def test_client_ceiling_is_replaced_by_the_routed_tier_models_ceiling(self):
+        router = self._router()
+
+        simple = await self._routed(router, max_tokens=8192)
+        complex_ = await self._routed(router, self.COMPLEX_PROMPT, max_tokens=8192)
+
+        assert (simple["model"], simple["max_tokens"]) == ("anthropic/claude-haiku-4-5", 8192)
+        assert (complex_["model"], complex_["max_tokens"]) == ("anthropic/claude-sonnet-5", 64000)
+        assert "max_output_tokens" not in complex_
+
+    @pytest.mark.asyncio
+    async def test_every_client_carrier_of_the_ceiling_is_replaced(self):
+        sent = await self._routed(self._router(), self.COMPLEX_PROMPT, max_completion_tokens=8192)
+
+        assert sent["max_tokens"] == 64000
+        assert "max_completion_tokens" not in sent
+
+    @pytest.mark.asyncio
+    async def test_responses_surface_gets_the_ceiling_under_its_own_name(self):
+        sent = await self._routed_responses(self._router(), self.COMPLEX_PROMPT, max_output_tokens=8192)
+
+        assert (sent["model"], sent["max_output_tokens"]) == ("anthropic/claude-sonnet-5", 64000)
+        assert "max_tokens" not in sent
+
+    @pytest.mark.asyncio
+    @pytest.mark.parametrize(
+        "tier_params, responses_call",
+        [
+            ({"max_tokens": 4321}, False),
+            ({"max_tokens": 4321}, True),
+            ({"max_completion_tokens": 4321}, False),
+            ({"max_completion_tokens": 4321}, True),
+            ({"max_output_tokens": 4321}, False),
+        ],
+    )
+    async def test_operators_own_tier_ceiling_wins_under_the_surface_name(self, tier_params, responses_call):
+        router = self._router(tier_litellm_params=tier_params)
+        if responses_call:
+            sent = await self._routed_responses(router, max_output_tokens=8192)
+        else:
+            sent = await self._routed(router, max_tokens=8192)
+
+        surface_key = "max_output_tokens" if responses_call else "max_tokens"
+        assert sent[surface_key] == 4321
+        assert not (OUTPUT_TOKEN_CEILING_PARAMS - {surface_key}) & sent.keys()
+
+    @pytest.mark.asyncio
+    async def test_opting_out_forwards_the_client_value_unchanged(self):
+        sent = await self._routed(self._router(max_tokens_from_tier_model=False), self.COMPLEX_PROMPT, max_tokens=8192)
+
+        assert sent["max_tokens"] == 8192
+
+    @pytest.mark.asyncio
+    async def test_a_tier_model_with_an_unknown_ceiling_keeps_the_client_value(self):
+        unmapped: dict = {"model_name": "small", "litellm_params": {"model": "openai/not-in-any-map", "api_key": "k"}}
+
+        sent = await self._routed(self._router(simple_deployments=[self.SMALL, unmapped]), max_tokens=4000)
+
+        assert sent["max_tokens"] == 4000
+
+    @pytest.mark.asyncio
+    async def test_a_multi_deployment_tier_model_uses_its_smallest_ceiling(self):
+        smaller: dict = {
+            **self.SMALL,
+            "litellm_params": {**self.SMALL["litellm_params"], "api_key": "k2"},
+            "model_info": {"max_output_tokens": 4096},
+        }
+
+        sent = await self._routed(self._router(simple_deployments=[self.SMALL, smaller]), max_tokens=100000)
+
+        assert sent["max_tokens"] == 4096
+
+    @pytest.mark.asyncio
+    async def test_ceiling_falls_back_to_the_cost_map(self, monkeypatch):
+        monkeypatch.setitem(
+            litellm.model_cost,
+            "auto-cap-probe-model",
+            {"litellm_provider": "openai", "mode": "chat", "max_output_tokens": 4242, "max_input_tokens": 100000},
+        )
+        mapped_only: dict = {
+            "model_name": "small",
+            "litellm_params": {"model": "openai/auto-cap-probe-model", "api_key": "k"},
+        }
+
+        sent = await self._routed(self._router(simple_deployments=[mapped_only]), max_tokens=8192)
+
+        assert sent["max_tokens"] == 4242
+
+    @pytest.mark.asyncio
+    @pytest.mark.parametrize("client_kwargs", [{}, {"max_tokens": 0}], ids=["omitted", "zero"])
+    async def test_omitted_and_zero_are_replaced_like_any_other_value(self, client_kwargs):
+        sent = await self._routed(self._router(), self.COMPLEX_PROMPT, **client_kwargs)
+
+        assert sent["max_tokens"] == 64000
+
+    @pytest.mark.parametrize(
+        "tier_params, responses_call, expected",
+        [
+            ({"max_tokens": 1, "temperature": 0.2}, False, {"max_tokens": 1, "temperature": 0.2}),
+            ({"max_tokens": 1}, True, {"max_output_tokens": 1}),
+            ({"max_completion_tokens": 2}, False, {"max_tokens": 2}),
+            ({"max_completion_tokens": 2}, True, {"max_output_tokens": 2}),
+            ({"max_output_tokens": 3}, False, {"max_tokens": 3}),
+            ({"max_output_tokens": 3}, True, {"max_output_tokens": 3}),
+            ({"max_tokens": 1, "max_completion_tokens": 2, "max_output_tokens": 3}, False, {"max_tokens": 1}),
+            ({"max_tokens": 1, "max_completion_tokens": 2, "max_output_tokens": 3}, True, {"max_output_tokens": 3}),
+            ({"max_completion_tokens": 2, "max_output_tokens": 3}, False, {"max_tokens": 2}),
+            ({"reasoning_effort": "low"}, True, {"reasoning_effort": "low"}),
+        ],
+    )
+    def test_every_tier_alias_collapses_onto_the_surface_key(self, tier_params, responses_call, expected):
+        assert dict(Router._tier_ceiling_under_the_surface_name(tier_params, responses_call=responses_call)) == expected
+
+    @pytest.mark.asyncio
+    async def test_the_default_fallback_exit_carries_the_ceiling(self):
+        routed: dict = {"max_tokens": 8192}
+        deployment = await self._router().async_get_available_deployment(
+            model="smart-router", request_kwargs=routed, messages=[{"role": "system", "content": "be nice"}]
+        )
+
+        assert routed["metadata"]["routing_decision"]["cause"] == "default_fallback"
+        assert (deployment["litellm_params"]["model"], routed["max_tokens"]) == ("anthropic/claude-sonnet-5", 64000)
+
+    @pytest.mark.asyncio
+    async def test_the_plan_mode_exit_carries_the_ceiling(self):
+        routed: dict = {"max_tokens": 8192}
+        deployment = await self._router(
+            extra_config={"plan_mode_min_tier": "REASONING"}
+        ).async_get_available_deployment(
+            model="smart-router",
+            request_kwargs=routed,
+            messages=[
+                {"role": "user", "content": "plan the refactor"},
+                {"role": "system", "content": "Plan mode is active"},
+            ],
+        )
+
+        assert routed["metadata"]["routing_decision"]["cause"] == "plan_mode"
+        assert (deployment["litellm_params"]["model"], routed["max_tokens"]) == ("anthropic/claude-sonnet-5", 64000)
+
+    @pytest.mark.asyncio
+    async def test_a_default_model_landing_with_no_tier_still_gets_its_ceiling(self):
+        strategy = ComplexityRouter(
+            model_name="smart-router",
+            litellm_router_instance=self._router(),
+            complexity_router_config={"tiers": {"SIMPLE": "small"}, "default_model": "big"},
+        )
+
+        assert dict(strategy._litellm_params_for_model(None, "big")) == {"max_tokens": 64000}
+
+    @pytest.mark.asyncio
+    async def test_a_fallback_into_a_plain_group_gets_the_callers_ceiling_back(self):
+        """A model-group fallback re-enters routing with the same kwargs; a Sonnet-sized ceiling
+        must not ride onto the plain group the caller configured as the fallback."""
+        big: dict = {
+            "model_name": "big",
+            "litellm_params": {
+                "model": "anthropic/claude-sonnet-5",
+                "api_key": "k",
+                "mock_response": "litellm.InternalServerError",
+            },
+            "model_info": {"max_output_tokens": 64000},
+        }
+        plain: dict = {
+            "model_name": "plain",
+            "litellm_params": {"model": "anthropic/claude-haiku-4-5", "api_key": "k", "mock_response": "ok"},
+        }
+        router = Router(
+            model_list=[
+                {
+                    "model_name": "smart-router",
+                    "litellm_params": {
+                        "model": "auto_router/complexity_router",
+                        "complexity_router_config": {
+                            "tiers": {"SIMPLE": "big", "MEDIUM": "big", "COMPLEX": "big", "REASONING": "big"}
+                        },
+                    },
+                },
+                big,
+                plain,
+            ],
+            fallbacks=[{"smart-router": ["plain"]}],
+            num_retries=0,
+        )
+        recorder = _OutputCeilingRecorder()
+        litellm.callbacks.append(recorder)
+        try:
+            await router.acompletion(
+                model="smart-router", messages=[{"role": "user", "content": self.COMPLEX_PROMPT}], max_tokens=8192
+            )
+        finally:
+            litellm.callbacks.remove(recorder)
+
+        assert recorder.seen == [("claude-sonnet-5", 64000), ("claude-haiku-4-5", 8192)]
+
+    @pytest.mark.asyncio
+    async def test_a_caller_seeded_stamp_cannot_inject_kwargs_on_a_plain_group(self):
+        """The stamp sits in a metadata bucket a caller can write; a planted one must yield
+        nothing but integer ceiling carriers, never a redirected api_base or credential."""
+        planted: dict = {
+            "api_base": "https://attacker.example",
+            "api_key": "stolen",
+            "max_tokens": "not-an-int",
+            "max_completion_tokens": True,
+            "max_output_tokens": 321,
+        }
+        routed: dict = {"max_tokens": 8192, "metadata": {"_client_output_ceiling": planted}}
+
+        await self._router().async_get_available_deployment(
+            model="big", request_kwargs=routed, messages=[{"role": "user", "content": "hi"}]
+        )
+
+        assert {k: v for k, v in routed.items() if k not in ("metadata", "model_info")} == {"max_output_tokens": 321}
+
+    @pytest.mark.asyncio
+    async def test_the_pass_through_routing_entry_point_pins_and_restores_the_same_way(self):
+        pass_through: dict = {**self.SMALL["litellm_params"], "use_in_pass_through": True}
+        small: dict = {**self.SMALL, "litellm_params": pass_through}
+        plain: dict = {**small, "model_name": "plain"}
+        router = self._router(simple_deployments=[small, plain])
+        for deployment in router.model_list:
+            deployment["litellm_params"]["use_in_pass_through"] = True
+        routed: dict = {"max_tokens": 8192}
+
+        deployment = await router.async_get_available_deployment_for_pass_through(
+            model="smart-router", request_kwargs=routed, messages=[{"role": "user", "content": self.COMPLEX_PROMPT}]
+        )
+        pinned = routed["max_tokens"]
+        await router.async_get_available_deployment_for_pass_through(
+            model="plain", request_kwargs=routed, messages=[{"role": "user", "content": "hi"}]
+        )
+
+        assert (deployment["litellm_params"]["model"], pinned, routed["max_tokens"]) == (
+            "anthropic/claude-sonnet-5",
+            64000,
+            8192,
+        )
+
+    @pytest.mark.asyncio
+    async def test_the_classifier_fallback_exit_carries_the_ceiling(self):
+        router = self._router(
+            extra_config={
+                "classifier_type": "llm",
+                "classifier_llm_config": {"model": "no-such-classifier", "timeout_ms": 400},
+                "classifier_fallback": "default_model",
+                "default_model": "big",
+            }
+        )
+        routed: dict = {"max_tokens": 8192}
+
+        deployment = await router.async_get_available_deployment(
+            model="smart-router", request_kwargs=routed, messages=[{"role": "user", "content": "hi"}]
+        )
+
+        assert routed["metadata"]["routing_decision"]["cause"] == "default_model_fallback"
+        assert (deployment["litellm_params"]["model"], routed["max_tokens"]) == ("anthropic/claude-sonnet-5", 64000)
+
+    @pytest.mark.parametrize(
+        "value, expected",
+        [(8192, 8192), ("8192", 8192), (100.9, 100), (0, 0), (-1, None), (True, None), ("x", None), (None, None)],
+    )
+    def test_a_client_cap_is_read_as_an_integer_or_ignored(self, value, expected):
+        assert as_output_cap(value) == expected
+
+    def test_restoring_the_callers_ceiling_reads_the_stamp_and_replaces_every_carrier(self):
+        stamped: dict = {"max_output_tokens": 500, "metadata": {"_client_output_ceiling": {"max_tokens": 8192}}}
+        Router._restore_client_ceiling_no_tier_pins(stamped)
+        assert {k: v for k, v in stamped.items() if k != "metadata"} == {"max_tokens": 8192}
+
+        coerced: dict = {
+            "max_tokens": 64000,
+            "metadata": {"_client_output_ceiling": {"max_tokens": "8192", "max_completion_tokens": 100.0}},
+        }
+        Router._restore_client_ceiling_no_tier_pins(coerced)
+        assert {k: v for k, v in coerced.items() if k != "metadata"} == {
+            "max_tokens": 8192,
+            "max_completion_tokens": 100,
+        }
+
+        unstamped: dict = {"max_tokens": 64000, "metadata": {}}
+        Router._restore_client_ceiling_no_tier_pins(unstamped)
+        assert unstamped["max_tokens"] == 64000
+
+    @pytest.mark.asyncio
+    async def test_pinning_stamps_the_callers_carriers_once(self):
+        router = self._router()
+        request_kwargs: dict = {"max_completion_tokens": 8192}
+
+        first = router._pin_tier_params_onto_request(
+            model="big", tier_litellm_params={"max_tokens": 64000}, request_kwargs=request_kwargs, responses_call=False
+        )
+        second = router._pin_tier_params_onto_request(
+            model="big", tier_litellm_params={"max_tokens": 32000}, request_kwargs=request_kwargs, responses_call=False
+        )
+        none = router._pin_tier_params_onto_request(
+            model="big", tier_litellm_params=None, request_kwargs=request_kwargs, responses_call=False
+        )
+
+        assert (first, second, none) == (True, True, False)
+        assert request_kwargs["max_tokens"] == 32000
+        assert request_kwargs["metadata"]["_client_output_ceiling"] == {"max_completion_tokens": 8192}
+
+
+class _OutputCeilingRecorder(CustomLogger):
+    def __init__(self) -> None:
+        super().__init__()
+        self.seen: list[tuple[str, int | None]] = []
+
+    def log_pre_api_call(self, model, messages, kwargs):
+        self.seen.append((model, kwargs.get("optional_params", {}).get("max_tokens")))
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index d1431d8956f..b52f0922390 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -34996,6 +34996,12 @@ export interface components {
              * @default 0.5
              */
             match_threshold: number;
+            /**
+             * Max Tokens From Tier Model
+             * @description Set max_tokens on every routed request to the output ceiling of the tier model it lands on, replacing whatever the caller sent. A caller behind an auto-router cannot pick one value that fits every tier: the smallest tier's ceiling starves a bigger tier's thinking budget, and a bigger tier's ceiling is rejected by the smallest. The ceiling is the smallest max_output_tokens across the tier model's deployments, read from each deployment's model_info and then the model cost map; a tier model with a deployment whose ceiling is unknown keeps the caller's value. A max_tokens, max_completion_tokens or max_output_tokens in the tier's own litellm_params still wins. Set false to forward the caller's value unchanged.
+             * @default true
+             */
+            max_tokens_from_tier_model: boolean;
             /**
              * Modality Pin Override
              * @description Let modality_routing replace a kept session-affinity pin on the turns that carry an image. Without this, a session pinned to a text-only model fails every image turn with a provider 400, since the pin is exempt from the modality gate. When enabled, such a turn routes to a capable model for that request only and the stored pin is left untouched, so the next text turn replays the session's own model; the override is reported as cause modality_pin_override and is never itself pinned. Inert unless modality_routing is also enabled.

From 29fe1e895f8392712d11a296bd51ebbcce826e8d Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:53:25 -0700
Subject: [PATCH 125/223] feat(otel): make the OTel v2 trace export URL
 configurable (#40286)

Add traces_endpoint (env OTEL_TRACES_ENDPOINT / OTEL_EXPORTER_OTLP_TRACES_ENDPOINT, per-exporter key traces_endpoint, Admin UI field) as a complete OTLP/HTTP trace URL used verbatim, so collectors that do not serve /v1/traces can receive traces. endpoint keeps its existing base-URL + signal-path normalization.

Resolves LIT-7218

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/integrations/callback_configs.json    |  6 ++
 litellm/integrations/otel/model/config.py     | 19 ++++-
 .../integrations/otel/plumbing/providers.py   | 11 ++-
 litellm/proxy/_types.py                       |  1 +
 .../otel/test_otel_v2_components.py           | 74 +++++++++++++++++++
 5 files changed, 108 insertions(+), 3 deletions(-)

diff --git a/litellm/integrations/callback_configs.json b/litellm/integrations/callback_configs.json
index 7a2295a35ae..b98eef8329b 100644
--- a/litellm/integrations/callback_configs.json
+++ b/litellm/integrations/callback_configs.json
@@ -356,6 +356,12 @@
         "description": "OpenTelemetry collector endpoint URL",
         "required": true
       },
+      "otel_traces_endpoint": {
+        "type": "text",
+        "ui_name": "Traces Endpoint URL",
+        "description": "Complete trace export URL used verbatim when the collector does not serve /v1/traces (OTel v2 only)",
+        "required": false
+      },
       "otel_headers": {
         "type": "text",
         "ui_name": "Headers",
diff --git a/litellm/integrations/otel/model/config.py b/litellm/integrations/otel/model/config.py
index 9e3064c2bff..e3501d0ee94 100644
--- a/litellm/integrations/otel/model/config.py
+++ b/litellm/integrations/otel/model/config.py
@@ -72,6 +72,14 @@ class ExporterSpec(BaseModel):
         description="console | in_memory | otlp_http | otlp_grpc | <factory kind>",
     )
     endpoint: str | None = None
+    traces_endpoint: str | None = Field(
+        default=None,
+        description=(
+            "Complete OTLP/HTTP trace URL, used verbatim. Set this when the "
+            "collector serves traces on a path other than ``/v1/traces``; "
+            "``endpoint`` is a base URL the signal path is appended to."
+        ),
+    )
     headers: str | None = None
     owner: ExporterOwner | None = Field(
         default=None,
@@ -127,6 +135,14 @@ class OpenTelemetryV2Config(BaseSettings):
         default=None,
         validation_alias=AliasChoices("OTEL_ENDPOINT", "OTEL_EXPORTER_OTLP_ENDPOINT"),
     )
+    traces_endpoint: str | None = Field(
+        default=None,
+        validation_alias=AliasChoices("OTEL_TRACES_ENDPOINT", "OTEL_EXPORTER_OTLP_TRACES_ENDPOINT"),
+        description=(
+            "Complete OTLP/HTTP trace URL for the single-destination shorthand, "
+            "used verbatim instead of ``endpoint`` + ``/v1/traces``."
+        ),
+    )
     headers: str | None = Field(
         default=None,
         validation_alias=AliasChoices("OTEL_HEADERS", "OTEL_EXPORTER_OTLP_HEADERS"),
@@ -250,7 +266,7 @@ class OpenTelemetryV2Config(BaseSettings):
     @model_validator(mode="after")
     def _normalize(self) -> "OpenTelemetryV2Config":
         # An endpoint with the default exporter kind implies OTLP/HTTP.
-        if self.endpoint and self.exporter == "console":
+        if (self.endpoint or self.traces_endpoint) and self.exporter == "console":
             self.exporter = "otlp_http"
         # When no explicit destinations are given, fold the single-destination
         # shorthand into one spec so the provider always has a destination.
@@ -259,6 +275,7 @@ class OpenTelemetryV2Config(BaseSettings):
                 ExporterSpec(
                     kind=self.exporter,
                     endpoint=self.endpoint,
+                    traces_endpoint=self.traces_endpoint,
                     headers=self.headers,
                 )
             ]
diff --git a/litellm/integrations/otel/plumbing/providers.py b/litellm/integrations/otel/plumbing/providers.py
index fb74ff85e5b..d8da53017ab 100644
--- a/litellm/integrations/otel/plumbing/providers.py
+++ b/litellm/integrations/otel/plumbing/providers.py
@@ -170,7 +170,7 @@ def _exporter_from_spec(spec: ExporterSpec) -> SpanExporter:
         )
 
         return HTTPExporter(
-            endpoint=_otlp_traces_endpoint(spec.endpoint),
+            endpoint=spec.traces_endpoint or _otlp_traces_endpoint(spec.endpoint),
             headers=parse_headers(spec.headers),
         )
     if kind in _OTLP_GRPC_KINDS:
@@ -201,7 +201,14 @@ def build_span_exporter(config: OpenTelemetryV2Config) -> SpanExporter:
     ``exporter`` / ``endpoint`` / ``headers`` fields. To configure multiple
     exporters, populate ``config.exporters`` directly.
     """
-    return _exporter_from_spec(ExporterSpec(kind=config.exporter, endpoint=config.endpoint, headers=config.headers))
+    return _exporter_from_spec(
+        ExporterSpec(
+            kind=config.exporter,
+            endpoint=config.endpoint,
+            traces_endpoint=config.traces_endpoint,
+            headers=config.headers,
+        )
+    )
 
 
 def _otlp_metrics_endpoint(endpoint: str | None) -> str | None:
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 4dbae6394f6..d1b391d57a3 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -3585,6 +3585,7 @@ class AllCallbacks(LiteLLMPydanticObjectBase):
         litellm_callback_params=[
             "OTEL_EXPORTER",
             "OTEL_ENDPOINT",
+            "OTEL_TRACES_ENDPOINT",
             "OTEL_HEADERS",
         ],
     )
diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_components.py b/tests/test_litellm/integrations/otel/test_otel_v2_components.py
index 4aa28b5abfd..6676714d7f5 100644
--- a/tests/test_litellm/integrations/otel/test_otel_v2_components.py
+++ b/tests/test_litellm/integrations/otel/test_otel_v2_components.py
@@ -3,7 +3,10 @@ baggage helpers, metrics, the typed coercion helpers, mapper branches, span-name
 builders, and the registry validator's failure paths. Needs the OTel SDK."""
 
 import json
+import threading
+from collections.abc import Iterator
 from dataclasses import replace
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
 
 import pytest
 
@@ -538,6 +541,77 @@ def test_build_span_exporter_variants():
     assert "OTLPSpanExporter" in type(http_exporter).__name__
 
 
+@pytest.fixture
+def otlp_collector() -> Iterator[tuple[str, list[str]]]:
+    received_paths: list[str] = []
+
+    class RecordingHandler(BaseHTTPRequestHandler):
+        def do_POST(self) -> None:
+            self.rfile.read(int(self.headers.get("Content-Length", "0")))
+            received_paths.append(self.path)
+            self.send_response(200)
+            self.end_headers()
+
+        def log_message(self, format: str, *args: object) -> None:
+            pass
+
+    server = ThreadingHTTPServer(("127.0.0.1", 0), RecordingHandler)
+    threading.Thread(target=server.serve_forever, daemon=True).start()
+    try:
+        yield f"http://127.0.0.1:{server.server_port}", received_paths
+    finally:
+        server.shutdown()
+        server.server_close()
+
+
+def _export_one_span(cfg: OpenTelemetryV2Config) -> None:
+    provider = providers.build_tracer_provider(cfg)
+    provider.get_tracer("probe").start_span("probe").end()
+    assert provider.force_flush()
+    provider.shutdown()
+
+
+def test_traces_endpoint_env_posts_to_the_configured_url_verbatim(monkeypatch, otlp_collector):
+    base_url, received_paths = otlp_collector
+    for var in ("OTEL_EXPORTER", "OTEL_EXPORTER_OTLP_PROTOCOL", "OTEL_EXPORTER_OTLP_ENDPOINT"):
+        monkeypatch.delenv(var, raising=False)
+    monkeypatch.setenv("OTEL_ENDPOINT", f"{base_url}/services/collector")
+    monkeypatch.setenv("OTEL_TRACES_ENDPOINT", f"{base_url}/services/collector/traces")
+
+    cfg = OpenTelemetryV2Config.from_env()
+    assert cfg.exporter == "otlp_http"
+    _export_one_span(cfg)
+    assert received_paths == ["/services/collector/traces"]
+
+
+def test_traces_endpoint_alias_alone_implies_otlp_http(monkeypatch, otlp_collector):
+    base_url, received_paths = otlp_collector
+    for var in ("OTEL_EXPORTER", "OTEL_EXPORTER_OTLP_PROTOCOL", "OTEL_ENDPOINT", "OTEL_EXPORTER_OTLP_ENDPOINT"):
+        monkeypatch.delenv(var, raising=False)
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_TRACES_ENDPOINT", f"{base_url}/custom/traces")
+
+    cfg = OpenTelemetryV2Config.from_env()
+    assert cfg.exporter == "otlp_http"
+    _export_one_span(cfg)
+    assert received_paths == ["/custom/traces"]
+
+
+def test_traces_endpoint_per_exporter_coexists_with_default_normalization(otlp_collector):
+    base_url, received_paths = otlp_collector
+    cfg = OpenTelemetryV2Config(
+        exporters=[
+            {"kind": "otlp_http", "endpoint": base_url},
+            {
+                "kind": "otlp_http",
+                "endpoint": f"{base_url}/services/collector",
+                "traces_endpoint": f"{base_url}/services/collector/traces",
+            },
+        ]
+    )
+    _export_one_span(cfg)
+    assert sorted(received_paths) == ["/services/collector/traces", "/v1/traces"]
+
+
 def test_otlp_metric_exporter_uses_cumulative_histogram_temporality():
     """Histograms must export as cumulative, not delta.
 

From b0071f363f8dd55a3a252e61f51f088ac5bab73c Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:54:05 -0700
Subject: [PATCH 126/223] fix(router): keep per-request routing_strategy
 override selectors out of global callbacks (#40229)

* fix(router): keep per-request routing_strategy override selectors out of global callbacks

Override selectors built by _get_override_strategy_selector were registered in litellm.callbacks / litellm.input_callback and cached for the router's lifetime, so one request with router_settings_override made every later request on the worker run that selector's pre-call check (rpm enforcement for usage-based-routing-v2). Build them with register_callbacks=False and run the selector's own pre_call_check / async_pre_call_check only for the request that carried the override.

Resolves LIT-7064

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(router): run override selector pre-call check on specific-deployment early returns

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(router): cover pass-through and affinity-pinned override pre-call paths

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/router.py                             |  51 +++++-
 .../test_router_routing_groups.py             | 157 +++++++++++++++++-
 2 files changed, 203 insertions(+), 5 deletions(-)

diff --git a/litellm/router.py b/litellm/router.py
index cf62ce1eb2d..a4fa4a16d12 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -1546,9 +1546,33 @@ class Router:
                 self._override_selectors[strategy] = self._build_strategy_selector(
                     strategy=strategy,
                     routing_strategy_args={},
+                    register_callbacks=False,
                 )
             return self._override_selectors[strategy]
 
+    def _override_selector_pre_call_check(
+        self, strategy: str | None, selector: RouterStrategySelector | None, deployment: dict
+    ) -> None:
+        """
+        Override selectors are not in `litellm.callbacks`, so the pre-call check that
+        `routing_strategy_pre_call_checks` runs for the router's own selectors (rpm
+        accounting for `usage-based-routing-v2`) runs here, for the overriding request only.
+        """
+        if selector is None or strategy is None or selector is not self._override_selectors.get(strategy):
+            return
+        selector.pre_call_check(deployment)
+
+    async def _async_override_selector_pre_call_check(
+        self,
+        strategy: str | None,
+        selector: RouterStrategySelector | None,
+        deployment: dict,
+        parent_otel_span: Span | None,
+    ) -> None:
+        if selector is None or strategy is None or selector is not self._override_selectors.get(strategy):
+            return
+        await selector.async_pre_call_check(deployment, parent_otel_span)
+
     def _get_routing_context(
         self, model: str, request_kwargs: dict | None = None
     ) -> tuple[str | None, RouterStrategySelector | None]:
@@ -12807,10 +12831,16 @@ class Router:
                 parent_otel_span=parent_otel_span,
             )
             if isinstance(healthy_deployments, dict):
+                await self._async_override_selector_pre_call_check(
+                    strategy, strategy_selector, healthy_deployments, parent_otel_span
+                )
                 return healthy_deployments
 
             # When encrypted content affinity pins to a specific deployment,
             if request_kwargs.get("_encrypted_content_affinity_pinned") and len(healthy_deployments) == 1:
+                await self._async_override_selector_pre_call_check(
+                    strategy, strategy_selector, healthy_deployments[0], parent_otel_span
+                )
                 return healthy_deployments[0]
 
             start_time: Final = time.time()
@@ -12836,6 +12866,9 @@ class Router:
                     parent_otel_span=parent_otel_span,
                 )
                 raise exception
+            await self._async_override_selector_pre_call_check(
+                strategy, strategy_selector, deployment, parent_otel_span
+            )
             verbose_router_logger.info(
                 "get_available_deployment for model: %s, Selected deployment: %s for model: %s",
                 model,
@@ -12921,6 +12954,8 @@ class Router:
                 parent_otel_span=parent_otel_span,
             )
 
+            strategy, strategy_selector = self._get_routing_context(model, request_kwargs)
+
             # 3. If specific deployment returned, verify if it supports pass-through
             if isinstance(healthy_deployments, dict):
                 if (healthy_deployments.get("model_info") or {}).get("blocked") is True:
@@ -12931,6 +12966,9 @@ class Router:
                     )
                 litellm_params: Final = healthy_deployments.get("litellm_params", {})
                 if litellm_params.get("use_in_pass_through"):
+                    await self._async_override_selector_pre_call_check(
+                        strategy, strategy_selector, healthy_deployments, parent_otel_span
+                    )
                     return healthy_deployments
                 else:
                     raise litellm.BadRequestError(
@@ -12951,7 +12989,6 @@ class Router:
 
             # 5. Apply load balancing strategy
             start_time: Final = time.perf_counter()
-            strategy, strategy_selector = self._get_routing_context(model, request_kwargs)
             if strategy == "simple-shuffle":
                 return simple_shuffle(
                     llm_router_instance=self,
@@ -12975,6 +13012,9 @@ class Router:
                     parent_otel_span=parent_otel_span,
                 )
                 raise exception
+            await self._async_override_selector_pre_call_check(
+                strategy, strategy_selector, deployment, parent_otel_span
+            )
 
             verbose_router_logger.info(
                 "async_get_available_deployment_for_pass_through model: %s, selected deployment: %s",
@@ -13550,6 +13590,7 @@ class Router:
             specific_deployment=specific_deployment,
             request_kwargs=request_kwargs,
         )
+        strategy, strategy_selector = self._get_routing_context(model, request_kwargs)
 
         if isinstance(healthy_deployments, dict):
             if (healthy_deployments.get("model_info") or {}).get("blocked") is True:
@@ -13558,6 +13599,7 @@ class Router:
                     model=model,
                     llm_provider="",
                 )
+            self._override_selector_pre_call_check(strategy, strategy_selector, healthy_deployments)
             return healthy_deployments
 
         parent_otel_span: Final[Span | None] = _get_parent_otel_span_from_kwargs(request_kwargs)
@@ -13633,7 +13675,6 @@ class Router:
                 cooldown_list=_cooldown_list,
             )
 
-        strategy, strategy_selector = self._get_routing_context(model, request_kwargs)
         if strategy == "simple-shuffle":
             # if users pass rpm or tpm, we do a random weighted pick - based on rpm/tpm
             ############## Check 'weight' param set for weighted pick #################
@@ -13665,6 +13706,7 @@ class Router:
                 enable_pre_call_checks=self.enable_pre_call_checks,
                 cooldown_list=_cooldown_list,
             )
+        self._override_selector_pre_call_check(strategy, strategy_selector, deployment)
         verbose_router_logger.info(
             "get_available_deployment for model: %s, Selected deployment: %s for model: %s",
             model,
@@ -13708,6 +13750,8 @@ class Router:
             specific_deployment=specific_deployment,
         )
 
+        strategy, strategy_selector = self._get_routing_context(model, request_kwargs)
+
         # 2. If the returned is a specific deployment (Dict), verify and return directly
         if isinstance(healthy_deployments, dict):
             if (healthy_deployments.get("model_info") or {}).get("blocked") is True:
@@ -13718,6 +13762,7 @@ class Router:
                 )
             litellm_params: Final = healthy_deployments.get("litellm_params", {})
             if litellm_params.get("use_in_pass_through"):
+                self._override_selector_pre_call_check(strategy, strategy_selector, healthy_deployments)
                 return healthy_deployments
             else:
                 # Specific deployment does not support pass-through
@@ -13777,7 +13822,6 @@ class Router:
             )
 
         # 6. Apply load balancing strategy
-        strategy, strategy_selector = self._get_routing_context(model, request_kwargs)
         if strategy == "simple-shuffle":
             return simple_shuffle(
                 llm_router_instance=self,
@@ -13809,6 +13853,7 @@ class Router:
                 enable_pre_call_checks=self.enable_pre_call_checks,
                 cooldown_list=_cooldown_list,
             )
+        self._override_selector_pre_call_check(strategy, strategy_selector, deployment)
 
         verbose_router_logger.info(
             "get_available_deployment_for_pass_through model: %s, selected deployment: %s",
diff --git a/tests/test_litellm/router_strategy/test_router_routing_groups.py b/tests/test_litellm/router_strategy/test_router_routing_groups.py
index af390c3292b..5f37842305d 100644
--- a/tests/test_litellm/router_strategy/test_router_routing_groups.py
+++ b/tests/test_litellm/router_strategy/test_router_routing_groups.py
@@ -792,15 +792,168 @@ def test_strategy_reinit_unregisters_override_selectors():
     router = _build_router(routing_strategy="least-busy")
     override_selector = router._get_override_strategy_selector("latency-based-routing")
     assert override_selector is not None
-    assert any(id(cb) == id(override_selector) for cb in litellm.callbacks)
+    assert not any(cb is override_selector for cb in litellm.callbacks)
 
     router.update_settings(routing_strategy="latency-based-routing")
 
     assert router._override_selectors == {}
-    assert not any(id(cb) == id(override_selector) for cb in litellm.callbacks)
+    assert not any(cb is override_selector for cb in litellm.callbacks)
     assert router._get_override_strategy_selector("latency-based-routing") is router.lowestlatency_logger
 
 
+def test_override_selectors_are_not_registered_process_wide(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [])
+    monkeypatch.setattr(litellm, "input_callback", [])
+    router = _build_router(routing_strategy="simple-shuffle")
+    v2_selector = router._get_override_strategy_selector("usage-based-routing-v2")
+    least_busy_selector = router._get_override_strategy_selector("least-busy")
+    assert v2_selector is not None and least_busy_selector is not None
+
+    assert litellm.callbacks == []
+    assert litellm.input_callback == []
+
+
+def _rpm_limited_model_list():
+    return [
+        {
+            "model_name": "other-model",
+            "litellm_params": {
+                "model": "openai/gpt-4o",
+                "api_key": "sk-test-3",
+                "api_base": "https://example.invalid",
+                "rpm": 1,
+            },
+            "model_info": {"id": "deploy-3"},
+        },
+    ]
+
+
+async def _mock_completion(router, **override):
+    return await router.acompletion(
+        model="other-model", messages=[{"role": "user", "content": "hi"}], mock_response="ok", **override
+    )
+
+
+@pytest.mark.asyncio
+async def test_usage_based_v2_override_stays_scoped_to_the_request_that_asked_for_it():
+    router = Router(model_list=_rpm_limited_model_list(), routing_strategy="simple-shuffle", num_retries=0)
+
+    await _mock_completion(router, routing_strategy="usage-based-routing-v2")
+    override_selector = router._override_selectors["usage-based-routing-v2"]
+    assert not any(cb is override_selector for cb in litellm.callbacks)
+
+    with patch.object(
+        override_selector, "async_pre_call_check", wraps=override_selector.async_pre_call_check
+    ) as pre_call_spy:
+        for _ in range(2):
+            plain = await _mock_completion(router)
+            assert plain.choices[0].message.content == "ok"
+        assert not pre_call_spy.called
+
+        with pytest.raises(litellm.RateLimitError):
+            await _mock_completion(router, routing_strategy="usage-based-routing-v2")
+
+
+def test_sync_usage_based_v2_override_stays_scoped_to_the_request_that_asked_for_it():
+    router = Router(model_list=_rpm_limited_model_list(), routing_strategy="simple-shuffle", num_retries=0)
+    messages = [{"role": "user", "content": "hi"}]
+
+    router.completion(
+        model="other-model", messages=messages, mock_response="ok", routing_strategy="usage-based-routing-v2"
+    )
+    override_selector = router._override_selectors["usage-based-routing-v2"]
+    assert not any(cb is override_selector for cb in litellm.callbacks)
+
+    for _ in range(2):
+        plain = router.completion(model="other-model", messages=messages, mock_response="ok")
+        assert plain.choices[0].message.content == "ok"
+
+    with pytest.raises(ValueError, match="No deployments available"):
+        router.completion(
+            model="other-model", messages=messages, mock_response="ok", routing_strategy="usage-based-routing-v2"
+        )
+
+
+@pytest.mark.asyncio
+async def test_override_selector_pre_call_check_only_runs_for_override_selectors(monkeypatch):
+    monkeypatch.setattr(litellm, "callbacks", [])
+    deployment = _rpm_limited_model_list()[0]
+
+    override_router = Router(model_list=_rpm_limited_model_list(), routing_strategy="simple-shuffle")
+    override_selector = override_router._get_override_strategy_selector("usage-based-routing-v2")
+    await override_router._async_override_selector_pre_call_check(
+        "usage-based-routing-v2", override_selector, deployment, None
+    )
+    with pytest.raises(litellm.RateLimitError):
+        override_router._override_selector_pre_call_check("usage-based-routing-v2", override_selector, deployment)
+
+    default_router = Router(model_list=_rpm_limited_model_list(), routing_strategy="usage-based-routing-v2")
+    for _ in range(2):
+        await default_router._async_override_selector_pre_call_check(
+            "usage-based-routing-v2", default_router.lowesttpm_logger_v2, deployment, None
+        )
+        default_router._override_selector_pre_call_check(
+            "usage-based-routing-v2", default_router.lowesttpm_logger_v2, deployment
+        )
+    await default_router._async_override_selector_pre_call_check(None, None, deployment, None)
+    default_router._override_selector_pre_call_check(None, None, deployment)
+
+
+@pytest.mark.asyncio
+async def test_usage_based_v2_override_enforces_rpm_when_a_specific_deployment_is_requested():
+    router = Router(model_list=_rpm_limited_model_list(), routing_strategy="simple-shuffle", num_retries=0)
+    kwargs = {"model": "deploy-3", "messages": [{"role": "user", "content": "hi"}], "mock_response": "ok"}
+
+    first = await router.acompletion(**kwargs, routing_strategy="usage-based-routing-v2")
+    assert first.choices[0].message.content == "ok"
+    with pytest.raises(litellm.RateLimitError):
+        await router.acompletion(**kwargs, routing_strategy="usage-based-routing-v2")
+    assert (await router.acompletion(**kwargs)).choices[0].message.content == "ok"
+
+
+def test_sync_usage_based_v2_override_enforces_rpm_when_a_specific_deployment_is_requested():
+    router = Router(model_list=_rpm_limited_model_list(), routing_strategy="simple-shuffle", num_retries=0)
+    kwargs = {"model": "deploy-3", "messages": [{"role": "user", "content": "hi"}], "mock_response": "ok"}
+
+    first = router.completion(**kwargs, routing_strategy="usage-based-routing-v2")
+    assert first.choices[0].message.content == "ok"
+    with pytest.raises(litellm.RateLimitError):
+        router.completion(**kwargs, routing_strategy="usage-based-routing-v2")
+    assert router.completion(**kwargs).choices[0].message.content == "ok"
+
+
+def _pass_through_rpm_limited_model_list():
+    deployment = _rpm_limited_model_list()[0]
+    return [{**deployment, "litellm_params": {**deployment["litellm_params"], "use_in_pass_through": True}}]
+
+
+@pytest.mark.asyncio
+async def test_async_early_return_paths_run_the_override_pre_call_check():
+    router = Router(model_list=_pass_through_rpm_limited_model_list(), routing_strategy="simple-shuffle")
+    override = {"routing_strategy": "usage-based-routing-v2"}
+
+    pinned = await router.async_get_available_deployment(
+        model="other-model", request_kwargs={**override, "_encrypted_content_affinity_pinned": True}
+    )
+    assert pinned["model_info"]["id"] == "deploy-3"
+    with pytest.raises(litellm.RateLimitError):
+        await router.async_get_available_deployment_for_pass_through(model="deploy-3", request_kwargs=override)
+    plain = await router.async_get_available_deployment_for_pass_through(model="deploy-3", request_kwargs={})
+    assert plain["model_info"]["id"] == "deploy-3"
+
+
+def test_sync_pass_through_specific_deployment_runs_the_override_pre_call_check():
+    router = Router(model_list=_pass_through_rpm_limited_model_list(), routing_strategy="simple-shuffle")
+    override = {"routing_strategy": "usage-based-routing-v2"}
+
+    first = router.get_available_deployment_for_pass_through(model="deploy-3", request_kwargs=override)
+    assert first["model_info"]["id"] == "deploy-3"
+    with pytest.raises(litellm.RateLimitError):
+        router.get_available_deployment_for_pass_through(model="deploy-3", request_kwargs=override)
+    plain = router.get_available_deployment_for_pass_through(model="deploy-3", request_kwargs={})
+    assert plain["model_info"]["id"] == "deploy-3"
+
+
 def _quality_group(strategy="latency-based-routing"):
     return [{"group_name": "quality", "models": ["filtered-model", "other-model"], "routing_strategy": strategy}]
 

From 935c7190ebe9f344e16079c8cd0dd9849db312aa Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:54:48 -0700
Subject: [PATCH 127/223] fix(router): count allowed_fails in the shared router
 cache so multi-worker proxies bench a deployment fleet-wide (#40224)

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/router.py                             |  1 -
 litellm/router_utils/cooldown_handlers.py     | 33 ++++++---
 .../test_router_cooldown_per_deployment.py    |  8 +--
 .../router_utils/test_cooldown_handlers.py    | 70 +++++++++++++++++--
 ..._health_check_allowed_fails_integration.py |  4 +-
 5 files changed, 94 insertions(+), 22 deletions(-)

diff --git a/litellm/router.py b/litellm/router.py
index a4fa4a16d12..9b2badeaa69 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -978,7 +978,6 @@ class Router:
             DEFAULT_HEALTH_CHECK_INTERVAL * DEFAULT_HEALTH_CHECK_STALENESS_MULTIPLIER
         )
         self.health_state_cache = DeploymentHealthCache(cache=self.cache, staleness_threshold=float(_staleness))
-        self.failed_calls = InMemoryCache()  # cache to track failed call per deployment, if num failed calls within 1 minute > allowed fails, then add it to cooldown
 
         if num_retries is not None:
             self.num_retries = num_retries
diff --git a/litellm/router_utils/cooldown_handlers.py b/litellm/router_utils/cooldown_handlers.py
index 4534fa114b3..f722b6fd20c 100644
--- a/litellm/router_utils/cooldown_handlers.py
+++ b/litellm/router_utils/cooldown_handlers.py
@@ -14,6 +14,7 @@ from typing import TYPE_CHECKING, Any, Final
 
 import litellm
 from litellm._logging import verbose_router_logger
+from litellm.caching.dual_cache import DualCache
 from litellm.constants import (
     DEFAULT_COOLDOWN_TIME_SECONDS,
     DEFAULT_FAILURE_THRESHOLD_MINIMUM_REQUESTS,
@@ -558,9 +559,12 @@ def should_cooldown_based_on_allowed_fails_policy(
     When *allowed_fails_override* / *cooldown_time_override* are supplied they
     take precedence over the router-level values (used by deployment-level overrides).
 
+    The counter lives in the router's shared ``DualCache`` (Redis when configured), so
+    every worker process increments the same key and the threshold applies fleet-wide.
+
     When *cache_key_suffix* is supplied the fail counter is keyed as
-    ``{deployment}:{cache_key_suffix}`` so that different exception types are
-    tracked independently per deployment.
+    ``deployment:{deployment}:allowed_fails:{cache_key_suffix}`` so that different
+    exception types are tracked independently per deployment.
 
     Returns:
     - True if fails exceed the allowed limit (should cooldown)
@@ -584,16 +588,25 @@ def should_cooldown_based_on_allowed_fails_policy(
         else (litellm_router_instance.cooldown_time or DEFAULT_COOLDOWN_TIME_SECONDS)
     )
 
-    cache_key: Final = f"{deployment}:{cache_key_suffix}" if cache_key_suffix else deployment
-    current_fails: Final = litellm_router_instance.failed_calls.get_cache(key=cache_key) or 0
-    updated_fails: Final = current_fails + 1
+    base_key: Final = f"deployment:{deployment}:allowed_fails"
+    cache_key: Final = f"{base_key}:{cache_key_suffix}" if cache_key_suffix else base_key
+    updated_fails: Final = _increment_allowed_fails(
+        cache=litellm_router_instance.cache, cache_key=cache_key, ttl=cooldown_time
+    )
+    return updated_fails > allowed_fails
 
-    if updated_fails > allowed_fails:
-        return True
-    else:
-        litellm_router_instance.failed_calls.set_cache(key=cache_key, value=updated_fails, ttl=cooldown_time)
 
-    return False
+def _increment_allowed_fails(cache: DualCache, cache_key: str, ttl: float) -> int:
+    """
+    Return the fleet-wide fail count. ``DualCache.increment_cache`` bumps the in-memory tier
+    before Redis and re-raises a Redis error, so a Redis outage degrades to this worker's own count.
+    """
+    try:
+        return cache.increment_cache(key=cache_key, value=1, ttl=ttl)
+    except Exception as e:  # noqa: BLE001  # a Redis outage must not stop failing deployments from cooling down
+        verbose_router_logger.warning("allowed_fails counter fell back to this worker's in-memory count: %s", e)
+        local_fails: Final = cache.get_cache(key=cache_key, local_only=True)
+        return local_fails if isinstance(local_fails, int) else 0
 
 
 def _is_allowed_fails_set_on_router(
diff --git a/tests/router_unit_tests/test_router_cooldown_per_deployment.py b/tests/router_unit_tests/test_router_cooldown_per_deployment.py
index 228dfed38b9..964782c348b 100644
--- a/tests/router_unit_tests/test_router_cooldown_per_deployment.py
+++ b/tests/router_unit_tests/test_router_cooldown_per_deployment.py
@@ -204,8 +204,8 @@ class TestExceptionTypeCountersTrackedIndependently:
                 cache_key_suffix="RateLimitError",
             )
 
-        rl_counter = router.failed_calls.get_cache(key="primary:RateLimitError") or 0
-        generic_counter = router.failed_calls.get_cache(key="primary:generic") or 0
+        rl_counter = router.cache.get_cache(key="deployment:primary:allowed_fails:RateLimitError") or 0
+        generic_counter = router.cache.get_cache(key="deployment:primary:allowed_fails:generic") or 0
 
         assert rl_counter == 3, "RateLimitError counter should be 3"
         assert generic_counter == 0, "generic counter must be untouched by RateLimitError increments"
@@ -218,8 +218,8 @@ class TestExceptionTypeCountersTrackedIndependently:
             cache_key_suffix="generic",
         )
 
-        generic_counter_after = router.failed_calls.get_cache(key="primary:generic") or 0
-        rl_counter_after = router.failed_calls.get_cache(key="primary:RateLimitError") or 0
+        generic_counter_after = router.cache.get_cache(key="deployment:primary:allowed_fails:generic") or 0
+        rl_counter_after = router.cache.get_cache(key="deployment:primary:allowed_fails:RateLimitError") or 0
 
         assert generic_counter_after == 1, "generic counter should now be 1"
         assert rl_counter_after == 3, "RateLimitError counter must remain unchanged after InternalServerError"
diff --git a/tests/test_litellm/router_utils/test_cooldown_handlers.py b/tests/test_litellm/router_utils/test_cooldown_handlers.py
index 4768988fc87..7ee0ed3701b 100644
--- a/tests/test_litellm/router_utils/test_cooldown_handlers.py
+++ b/tests/test_litellm/router_utils/test_cooldown_handlers.py
@@ -1,6 +1,8 @@
 from unittest.mock import MagicMock, patch
 
 import litellm
+from litellm.caching.dual_cache import DualCache
+from litellm.caching.in_memory_cache import InMemoryCache
 from litellm.router_utils.cooldown_handlers import (
     _get_deployment_cooldown_policy,
     _resolve_allowed_fails_from_policy,
@@ -269,18 +271,20 @@ class TestShouldCooldownBasedOnDeploymentPolicy:
 
 
 class TestShouldCooldownBasedOnAllowedFailsPolicy:
-    def _make_router(self, cooldown_time: float = 60.0) -> MagicMock:
+    def _make_router(self, cooldown_time: float = 60.0, cache: DualCache | None = None) -> MagicMock:
         router = MagicMock()
         router.cooldown_time = cooldown_time
         router.allowed_fails = 0
         router.allowed_fails_policy = None
         router.get_allowed_fails_from_policy.return_value = None
-        router.failed_calls.get_cache.return_value = None
+        router.cache = cache if cache is not None else DualCache(in_memory_cache=InMemoryCache())
         return router
 
     def test_cooldown_time_override_zero_is_not_falsy(self):
         """cooldown_time_override=0 must be honored; it must not fall through to the router-level value."""
         router = self._make_router(cooldown_time=60.0)
+        router.cache = MagicMock()
+        router.cache.increment_cache.return_value = 1
         exc = litellm.RateLimitError("429", "openai", "gpt-4")
 
         should_cooldown_based_on_allowed_fails_policy(
@@ -291,12 +295,68 @@ class TestShouldCooldownBasedOnAllowedFailsPolicy:
             cooldown_time_override=0.0,
         )
 
-        set_cache_call = router.failed_calls.set_cache.call_args
-        assert set_cache_call is not None
-        assert set_cache_call[1]["ttl"] == 0.0, (
+        increment_call = router.cache.increment_cache.call_args
+        assert increment_call is not None
+        assert increment_call[1]["ttl"] == 0.0, (
             "cooldown_time_override=0 should be used as TTL, not the router-level 60.0"
         )
 
+    def test_fail_counter_is_shared_across_router_instances(self):
+        """Two workers (two Router objects over one shared cache) must pool their failures toward allowed_fails."""
+        shared_cache = DualCache(in_memory_cache=InMemoryCache())
+        workers = (self._make_router(cache=shared_cache), self._make_router(cache=shared_cache))
+        exc = litellm.AuthenticationError("401", "openai", "gpt-4")
+
+        results = [
+            should_cooldown_based_on_allowed_fails_policy(
+                litellm_router_instance=workers[i % 2],
+                deployment="dep-1",
+                original_exception=exc,
+                allowed_fails_override=5,
+            )
+            for i in range(6)
+        ]
+
+        assert results == [False, False, False, False, False, True]
+        assert shared_cache.get_cache(key="deployment:dep-1:allowed_fails") == 6
+
+    def test_fleet_wide_count_from_redis_decides_cooldown(self):
+        """The Redis (fleet-wide) count decides, even when this process has only seen one failure."""
+        redis_cache = MagicMock()
+        redis_cache.increment_cache.return_value = 6
+        router = self._make_router(cache=DualCache(in_memory_cache=InMemoryCache(), redis_cache=redis_cache))
+        exc = litellm.AuthenticationError("401", "openai", "gpt-4")
+
+        result = should_cooldown_based_on_allowed_fails_policy(
+            litellm_router_instance=router,
+            deployment="dep-1",
+            original_exception=exc,
+            allowed_fails_override=5,
+        )
+
+        assert result is True
+        redis_cache.increment_cache.assert_called_once_with("deployment:dep-1:allowed_fails", 1, ttl=60.0)
+
+    def test_redis_outage_falls_back_to_this_workers_count(self):
+        """When every Redis increment fails, the worker's own in-memory count must still cool the deployment down."""
+        redis_cache = MagicMock()
+        redis_cache.increment_cache.side_effect = ConnectionError("redis down")
+        router = self._make_router(cache=DualCache(in_memory_cache=InMemoryCache(), redis_cache=redis_cache))
+        exc = litellm.AuthenticationError("401", "openai", "gpt-4")
+
+        results = [
+            should_cooldown_based_on_allowed_fails_policy(
+                litellm_router_instance=router,
+                deployment="dep-1",
+                original_exception=exc,
+                allowed_fails_override=5,
+            )
+            for _ in range(6)
+        ]
+
+        assert results == [False, False, False, False, False, True]
+        assert redis_cache.increment_cache.call_count == 6
+
 
 class TestRoutingGroupCooldownAlternatives:
     def _router(self, routing_groups=None):
diff --git a/tests/test_litellm/router_utils/test_health_check_allowed_fails_integration.py b/tests/test_litellm/router_utils/test_health_check_allowed_fails_integration.py
index 6effbc5fa7f..9021d842daa 100644
--- a/tests/test_litellm/router_utils/test_health_check_allowed_fails_integration.py
+++ b/tests/test_litellm/router_utils/test_health_check_allowed_fails_integration.py
@@ -179,7 +179,7 @@ class TestHealthCheckCooldownIntegration:
         assert result is False
 
         # Check counter was incremented
-        current_fails = router.failed_calls.get_cache(key="deploy-1")
+        current_fails = router.cache.get_cache(key="deployment:deploy-1:allowed_fails")
         assert current_fails == 1
 
     def test_health_check_failure_triggers_cooldown_at_threshold(self):
@@ -263,7 +263,7 @@ class TestHealthCheckCooldownIntegration:
         assert "exception" not in healthy_endpoint
 
         # Verify failed_calls counter is untouched
-        current_fails = router.failed_calls.get_cache(key="deploy-1")
+        current_fails = router.cache.get_cache(key="deployment:deploy-1:allowed_fails")
         assert current_fails is None
 
     def test_disable_cooldowns_prevents_health_check_cooldown(self):

From 3496ab95182c96e596dd971808ff0d0e511ee34c Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:55:36 -0700
Subject: [PATCH 128/223] fix(router): let simple-shuffle weight by any
 deployment's weight/rpm/tpm (#40222)

simple_shuffle only looked at healthy_deployments[0] to decide whether a
metric was configured, so a weight, rpm, or tpm on a later deployment was
ignored and the pick fell back to uniform random. Decide the metric from
all healthy deployments and keep the total_weight <= 0 fall-through.

Resolves LIT-7112

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/router_strategy/simple_shuffle.py     |  3 +-
 .../router_strategy/test_simple_shuffle.py    | 54 +++++++++++++++++++
 2 files changed, 55 insertions(+), 2 deletions(-)
 create mode 100644 tests/test_litellm/router_strategy/test_simple_shuffle.py

diff --git a/litellm/router_strategy/simple_shuffle.py b/litellm/router_strategy/simple_shuffle.py
index 65bcce0e532..860e89cea22 100644
--- a/litellm/router_strategy/simple_shuffle.py
+++ b/litellm/router_strategy/simple_shuffle.py
@@ -41,8 +41,7 @@ def simple_shuffle(
 
     ############## Check if 'weight' or 'rpm' or 'tpm' param set for a weighted pick #################
     for weight_by in ["weight", "rpm", "tpm"]:
-        weight = healthy_deployments[0].get("litellm_params").get(weight_by, None)
-        if weight is not None:
+        if any(m["litellm_params"].get(weight_by) is not None for m in healthy_deployments):
             weights = [m["litellm_params"].get(weight_by, 0) for m in healthy_deployments]
             verbose_router_logger.debug("\nweight %s", weights)
             total_weight = sum(weights)
diff --git a/tests/test_litellm/router_strategy/test_simple_shuffle.py b/tests/test_litellm/router_strategy/test_simple_shuffle.py
new file mode 100644
index 00000000000..165c1751f63
--- /dev/null
+++ b/tests/test_litellm/router_strategy/test_simple_shuffle.py
@@ -0,0 +1,54 @@
+from collections import Counter
+
+import pytest
+
+from litellm import Router
+from litellm.types.router import DeploymentTypedDict, LiteLLMParamsTypedDict
+
+DRAWS = 200
+
+
+def _deployment(dep_id: str, metric: LiteLLMParamsTypedDict | None = None) -> DeploymentTypedDict:
+    params: LiteLLMParamsTypedDict = {"model": "gpt-4o", "api_key": "key", "mock_response": f"from {dep_id}"}
+    return {
+        "model_name": "test-model",
+        "litellm_params": {**params, **(metric or {})},
+        "model_info": {"id": dep_id},
+    }
+
+
+async def _draw_model_ids(router: Router) -> Counter[str]:
+    counts: Counter[str] = Counter()
+    for _ in range(DRAWS):
+        response = await router.acompletion(model="test-model", messages=[{"role": "user", "content": "hi"}])
+        counts[response._hidden_params["model_id"]] += 1
+    return counts
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("metric", [{"weight": 5}, {"rpm": 5}, {"tpm": 5}], ids=["weight", "rpm", "tpm"])
+async def test_weighted_pick_when_only_a_later_deployment_carries_the_metric(metric: LiteLLMParamsTypedDict):
+    router = Router(
+        model_list=[_deployment("unweighted"), _deployment("weighted", metric)],
+        routing_strategy="simple-shuffle",
+        num_retries=0,
+    )
+
+    counts = await _draw_model_ids(router)
+
+    assert counts["weighted"] == DRAWS
+    assert counts["unweighted"] == 0
+
+
+@pytest.mark.asyncio
+async def test_uniform_pick_when_every_configured_weight_is_zero():
+    router = Router(
+        model_list=[_deployment("unweighted"), _deployment("standby", {"weight": 0})],
+        routing_strategy="simple-shuffle",
+        num_retries=0,
+    )
+
+    counts = await _draw_model_ids(router)
+
+    assert counts["unweighted"] > 0
+    assert counts["standby"] > 0

From 9fffda4117536ff7996718ea8e9a1e1d4611063a Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 13:56:06 -0700
Subject: [PATCH 129/223] fix(router): give cost-based routing its own cache
 key so it stops overwriting latency samples (#40225)

* fix(router): give cost-based routing its own cache key so it stops overwriting latency samples

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(router): prefix the cost routing cache key so it cannot alias another group's latency key

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/router_strategy/lowest_cost.py        | 11 ++---
 .../router_strategy/test_lowest_cost.py       | 46 ++++++++++++++++++-
 2 files changed, 50 insertions(+), 7 deletions(-)

diff --git a/litellm/router_strategy/lowest_cost.py b/litellm/router_strategy/lowest_cost.py
index 6eb4d86d280..d271349914e 100644
--- a/litellm/router_strategy/lowest_cost.py
+++ b/litellm/router_strategy/lowest_cost.py
@@ -39,7 +39,7 @@ class LowestCostLoggingHandler(CustomLogger):
                 # ------------
                 """
                 {
-                    {model_group}_map: {
+                    cost_map:{model_group}: {
                         id: {
                             f"{date:hour:minute}" : {"tpm": 34, "rpm": 3}
                         }
@@ -50,7 +50,7 @@ class LowestCostLoggingHandler(CustomLogger):
                 current_hour: Final = datetime.now().strftime("%H")
                 current_minute: Final = datetime.now().strftime("%M")
                 precise_minute: Final = f"{current_date}-{current_hour}-{current_minute}"
-                cost_key: Final = f"{model_group}_map"
+                cost_key: Final = f"cost_map:{model_group}"
 
                 total_tokens = 0
 
@@ -112,15 +112,14 @@ class LowestCostLoggingHandler(CustomLogger):
                 # ------------
                 """
                 {
-                    {model_group}_map: {
+                    cost_map:{model_group}: {
                         id: {
-                            "cost": [..]
                             f"{date:hour:minute}" : {"tpm": 34, "rpm": 3}
                         }
                     }
                 }
                 """
-                cost_key: Final = f"{model_group}_map"
+                cost_key: Final = f"cost_map:{model_group}"
 
                 current_date: Final = datetime.now().strftime("%Y-%m-%d")
                 current_hour: Final = datetime.now().strftime("%H")
@@ -176,7 +175,7 @@ class LowestCostLoggingHandler(CustomLogger):
         """
         Returns a deployment with the lowest cost
         """
-        cost_key: Final = f"{model_group}_map"
+        cost_key: Final = f"cost_map:{model_group}"
 
         request_count_dict: Final = await self.router_cache.async_get_cache(key=cost_key) or {}
 
diff --git a/tests/test_litellm/router_strategy/test_lowest_cost.py b/tests/test_litellm/router_strategy/test_lowest_cost.py
index 108053dddd9..ab3ef099410 100644
--- a/tests/test_litellm/router_strategy/test_lowest_cost.py
+++ b/tests/test_litellm/router_strategy/test_lowest_cost.py
@@ -1,3 +1,4 @@
+import copy
 from datetime import datetime
 
 import pytest
@@ -7,6 +8,8 @@ from litellm.caching.caching import DualCache
 from litellm.router_strategy.lowest_cost import LowestCostLoggingHandler
 
 DEPLOYMENT_ID = "9876"
+COST_KEY = "cost_map:gpt-5.5-pool"
+LATENCY_KEYS = ("gpt-5.5-pool_map", "gpt-5.5-pool_cost_map")
 KWARGS = {
     "litellm_params": {
         "metadata": {"model_group": "gpt-5.5-pool"},
@@ -24,7 +27,7 @@ def _chat_response_with_no_completion_tokens() -> litellm.ModelResponse:
 
 
 def _recorded_minute_counters(cache: DualCache) -> dict[str, int]:
-    cached = cache.get_cache(key="gpt-5.5-pool_map") or {}
+    cached = cache.get_cache(key=COST_KEY) or {}
     minute_buckets = cached.get(DEPLOYMENT_ID, {})
     assert len(minute_buckets) == 1, f"expected one minute bucket, got {minute_buckets}"
     return next(iter(minute_buckets.values()))
@@ -44,6 +47,47 @@ def test_log_success_event_counts_a_response_with_no_completion_tokens():
     assert _recorded_minute_counters(cache) == {"tpm": 12, "rpm": 1}
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("use_async", [False, True], ids=["sync", "async"])
+async def test_log_success_event_keeps_cost_bookkeeping_out_of_the_latency_routing_entry(use_async: bool):
+    cache = DualCache()
+    latency_entry = {DEPLOYMENT_ID: {"latency": [0.5], "time_to_first_token": [0.1]}}
+    for latency_key in LATENCY_KEYS:
+        cache.set_cache(key=latency_key, value=copy.deepcopy(latency_entry))
+    handler = LowestCostLoggingHandler(router_cache=cache)
+    call_args = {
+        "kwargs": KWARGS,
+        "response_obj": _chat_response_with_no_completion_tokens(),
+        "start_time": datetime(2026, 1, 1, 12, 0, 0),
+        "end_time": datetime(2026, 1, 1, 12, 0, 2),
+    }
+
+    if use_async:
+        await handler.async_log_success_event(**call_args)
+    else:
+        handler.log_success_event(**call_args)
+
+    assert [cache.get_cache(key=latency_key) for latency_key in LATENCY_KEYS] == [latency_entry, latency_entry]
+    assert _recorded_minute_counters(cache) == {"tpm": 12, "rpm": 1}
+
+
+@pytest.mark.asyncio
+async def test_async_get_available_deployments_applies_rpm_limit_from_the_cost_entry():
+    cache = DualCache()
+    handler = LowestCostLoggingHandler(router_cache=cache)
+    precise_minute = datetime.now().strftime("%Y-%m-%d-%H-%M")
+    cache.set_cache(key=COST_KEY, value={DEPLOYMENT_ID: {precise_minute: {"tpm": 12, "rpm": 1}}})
+    healthy_deployments = [{"model_info": {"id": DEPLOYMENT_ID}, "litellm_params": {"model": "gpt-5.5", "rpm": 1}}]
+
+    picked = await handler.async_get_available_deployments(
+        model_group="gpt-5.5-pool",
+        healthy_deployments=healthy_deployments,
+        messages=[{"role": "user", "content": "hi"}],
+    )
+
+    assert picked is None
+
+
 @pytest.mark.asyncio
 async def test_async_log_success_event_counts_a_response_with_no_completion_tokens():
     cache = DualCache()

From 35451ecc7b3a2a9a2309091d397c3d21cd71ca29 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 21:15:36 +0000
Subject: [PATCH 130/223] fix(router): keep deployment tags out of retry and
 fallback tag routing (#40226)

* fix(router): keep deployment tags out of retry and fallback tag routing

Deployment-level tags merged into request metadata for spend attribution were also read as caller tag constraints on later attempts, so a tag-filtered group re-narrowed to the deployment that just failed. Snapshot the caller's routing tags before the merge and have tag routing read that snapshot.

Resolves LIT-7113

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(router): drop redundant comment in tag routing

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(router): make tag retry regression deterministic and cover routing snapshot helper

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/constants.py                          |  1 +
 litellm/proxy/common_utils/callback_utils.py  |  2 +
 litellm/proxy/litellm_pre_call_utils.py       |  2 +
 litellm/router.py                             |  6 +++
 litellm/router_strategy/tag_based_routing.py  | 11 +++--
 .../test_router_tag_routing.py                | 15 ++++++
 tests/test_litellm/test_router.py             | 46 ++++++++++++++++++-
 7 files changed, 78 insertions(+), 5 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index 8a6a044ff7b..82ca92475ec 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -1464,6 +1464,7 @@ SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: Final = "_session_deployment_affin
 OUTPUT_TOKEN_CEILING_PARAMS: Final = frozenset({"max_tokens", "max_completion_tokens", "max_output_tokens"})
 CLIENT_OUTPUT_CEILING_METADATA_KEY: Final = "_client_output_ceiling"
 CONSUMED_REQUEST_TAGS_METADATA_KEY: Final = "_consumed_request_tags"
+ROUTING_REQUEST_TAGS_METADATA_KEY: Final = "_routing_request_tags"
 INTERNAL_CALL_ORIGIN_METADATA_KEY: Final = "internal_call_origin"
 SESSION_ID_GENERATED_METADATA_KEY: Final = "litellm_session_id_generated"
 SESSION_ID_OMITTED_METADATA_KEY: Final = "litellm_session_id_omitted"
diff --git a/litellm/proxy/common_utils/callback_utils.py b/litellm/proxy/common_utils/callback_utils.py
index d9d56778405..770963a1f24 100644
--- a/litellm/proxy/common_utils/callback_utils.py
+++ b/litellm/proxy/common_utils/callback_utils.py
@@ -13,6 +13,7 @@ from litellm.constants import (
     CLIENT_OUTPUT_CEILING_METADATA_KEY,
     CONSUMED_REQUEST_TAGS_METADATA_KEY,
     PRE_CALL_EXECUTED_GUARDRAILS_KEY,
+    ROUTING_REQUEST_TAGS_METADATA_KEY,
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
 )
 from litellm.integrations.custom_logger import CustomLogger
@@ -509,6 +510,7 @@ LITELLM_PROXY_INTERNAL_METADATA_KEYS: Final = frozenset(
         SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
         CONSUMED_REQUEST_TAGS_METADATA_KEY,
         CLIENT_OUTPUT_CEILING_METADATA_KEY,
+        ROUTING_REQUEST_TAGS_METADATA_KEY,
         "disable_global_guardrails",
         "disable_global_guardrail",
         "opted_out_global_guardrails",
diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index 893174dab03..f81fe312645 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -24,6 +24,7 @@ from litellm.constants import (
     LITELLM_PROXY_MASTER_KEY_ALIAS,
     OTEL_SERVICE_NAME_METADATA_KEYS,
     PRE_CALL_EXECUTED_GUARDRAILS_KEY,
+    ROUTING_REQUEST_TAGS_METADATA_KEY,
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
     SESSION_ID_GENERATED_METADATA_KEY,
     SESSION_ID_OMITTED_METADATA_KEY,
@@ -290,6 +291,7 @@ _UNTRUSTED_METADATA_CONTROL_FIELDS: Final = (
     GATEWAY_INJECTED_CACHE_METADATA_KEY,
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
     CONSUMED_REQUEST_TAGS_METADATA_KEY,
+    ROUTING_REQUEST_TAGS_METADATA_KEY,
     INTERNAL_CALL_ORIGIN_METADATA_KEY,
     "standard_logging_object",
     "proxy_server_request",
diff --git a/litellm/router.py b/litellm/router.py
index 9b2badeaa69..b0a1ddd164e 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -62,6 +62,7 @@ from litellm.constants import (
     DEFAULT_MAX_LRU_CACHE_SIZE,
     INTERNAL_CALL_ORIGIN_METADATA_KEY,
     OUTPUT_TOKEN_CEILING_PARAMS,
+    ROUTING_REQUEST_TAGS_METADATA_KEY,
     RUNTIME_UPDATABLE_ROUTER_SETTINGS,
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
 )
@@ -3772,6 +3773,11 @@ class Router:
         refund_stale_reservation_before_retry(self.cache, kwargs)
         set_io_token_rate_limit_request_kwargs(kwargs, store_in_context=deployment_has_io_token_limits(deployment))
 
+        kwargs[metadata_variable_name].setdefault(
+            ROUTING_REQUEST_TAGS_METADATA_KEY,
+            tuple(_get_tags_from_request_kwargs(kwargs, metadata_variable_name=metadata_variable_name)),
+        )
+
         ## DEPLOYMENT-LEVEL TAGS
         deployment_tags: Final = deployment.get("litellm_params", {}).get("tags")
         if deployment_tags:
diff --git a/litellm/router_strategy/tag_based_routing.py b/litellm/router_strategy/tag_based_routing.py
index eabd9278cf6..d4f46e94579 100644
--- a/litellm/router_strategy/tag_based_routing.py
+++ b/litellm/router_strategy/tag_based_routing.py
@@ -13,7 +13,7 @@ from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, Literal, Protocol, overload
 
 from litellm._logging import verbose_logger
-from litellm.constants import CONSUMED_REQUEST_TAGS_METADATA_KEY
+from litellm.constants import CONSUMED_REQUEST_TAGS_METADATA_KEY, ROUTING_REQUEST_TAGS_METADATA_KEY
 from litellm.litellm_core_utils.core_helpers import get_metadata_variable_name_from_kwargs
 from litellm.types.router import ConsumedRequestTagsStamp, DeploymentTypedDict, RouterErrors
 
@@ -461,7 +461,10 @@ def _request_tags_after_router_consumption(metadata: object, model: str) -> Sequ
     if not isinstance(metadata, Mapping):
         return None
     typed_metadata: Final[Mapping[str, object]] = metadata
-    request_tags: Final = _tags_in_metadata(typed_metadata)
+    request_tags: Final = _tags_in_metadata(
+        typed_metadata,
+        key=ROUTING_REQUEST_TAGS_METADATA_KEY if ROUTING_REQUEST_TAGS_METADATA_KEY in typed_metadata else "tags",
+    )
     stamp: Final = typed_metadata.get(CONSUMED_REQUEST_TAGS_METADATA_KEY)
     if not isinstance(stamp, ConsumedRequestTagsStamp) or stamp.model_group != model:
         return request_tags
@@ -646,7 +649,7 @@ async def get_deployments_for_tag(
     return healthy_deployments
 
 
-def _tags_in_metadata(metadata: object) -> list[str]:
+def _tags_in_metadata(metadata: object, key: str = "tags") -> list[str]:
     """
     Tags out of a metadata bucket the caller controls the shape of.
 
@@ -657,7 +660,7 @@ def _tags_in_metadata(metadata: object) -> list[str]:
     if not isinstance(metadata, Mapping):
         return []
     typed_metadata: Final[Mapping[str, object]] = metadata
-    tags: Final = typed_metadata.get("tags")
+    tags: Final = typed_metadata.get(key)
     if isinstance(tags, str) or not isinstance(tags, Sequence):
         return []
     typed_tags: Final[Sequence[object]] = tags
diff --git a/tests/test_litellm/router_strategy/test_router_tag_routing.py b/tests/test_litellm/router_strategy/test_router_tag_routing.py
index 59a59c7e16d..16c641b8d29 100644
--- a/tests/test_litellm/router_strategy/test_router_tag_routing.py
+++ b/tests/test_litellm/router_strategy/test_router_tag_routing.py
@@ -3031,6 +3031,21 @@ def test_request_tags_after_router_consumption_drops_only_the_consumed_tags():
     assert _request_tags_after_router_consumption(partially_consumed, "gemini-flash") == ("deploy:us",)
 
 
+def test_request_tags_after_router_consumption_ignores_tags_merged_from_prior_deployments():
+    from litellm.constants import CONSUMED_REQUEST_TAGS_METADATA_KEY, ROUTING_REQUEST_TAGS_METADATA_KEY
+    from litellm.router_strategy.tag_based_routing import _request_tags_after_router_consumption
+    from litellm.types.router import ConsumedRequestTagsStamp
+
+    metadata = {
+        "tags": ["route", "&region:eu", "free"],
+        ROUTING_REQUEST_TAGS_METADATA_KEY: ("route", "&region:eu"),
+        "inherited_tags": ["&region:eu"],
+        CONSUMED_REQUEST_TAGS_METADATA_KEY: ConsumedRequestTagsStamp(model_group="gemini-flash", tags=("route",)),
+    }
+    assert _request_tags_after_router_consumption(metadata, "gemini-flash") == ("&region:eu",)
+    assert _request_tags_after_router_consumption(metadata, "other-group") == ["route", "&region:eu"]
+
+
 @pytest.mark.asyncio()
 async def test_non_router_tags_still_pick_the_matching_tier_deployment():
     # tags=["route", "deploy:us"]: "route" picks the router and is spent there,
diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py
index eed34c79a06..29df6df0477 100644
--- a/tests/test_litellm/test_router.py
+++ b/tests/test_litellm/test_router.py
@@ -40,7 +40,7 @@ from litellm.router import (
     _is_retriable_anthropic_status,
 )
 from litellm.router_strategy import simple_shuffle
-from litellm.types.router import DeploymentTypedDict
+from litellm.types.router import DeploymentTypedDict, RetryPolicy
 
 
 def test_update_kwargs_does_not_mutate_defaults_and_merges_metadata():
@@ -6132,6 +6132,50 @@ def test_update_kwargs_with_deployment_no_tags():
     assert "tags" not in kwargs["metadata"]
 
 
+@pytest.mark.asyncio
+async def test_retry_does_not_narrow_tag_filtered_group_to_failed_deployments_tags():
+    router = Router(
+        model_list=[
+            {
+                "model_name": "tagged-group",
+                "litellm_params": {
+                    "model": "openai/gpt-5.5",
+                    "api_key": "fake-key",
+                    "tags": ["free"],
+                    "input_cost_per_token": 0.000001,
+                    "output_cost_per_token": 0.000001,
+                    "mock_response": "litellm.ContextWindowExceededError",
+                },
+                "model_info": {"id": "tagged-failing"},
+            },
+            {
+                "model_name": "tagged-group",
+                "litellm_params": {
+                    "model": "openai/gpt-5.5",
+                    "api_key": "fake-key",
+                    "input_cost_per_token": 0.001,
+                    "output_cost_per_token": 0.001,
+                    "mock_response": "ok",
+                },
+                "model_info": {"id": "untagged-healthy"},
+            },
+        ],
+        routing_strategy="cost-based-routing",
+        enable_tag_filtering=True,
+        num_retries=2,
+        retry_after=0,
+        retry_policy=RetryPolicy(BadRequestErrorRetries=2),
+    )
+    metadata: Final[dict[str, object]] = {}
+
+    response = await router.acompletion(
+        model="tagged-group", messages=[{"role": "user", "content": "hi"}], metadata=metadata
+    )
+
+    assert response._hidden_params["model_id"] == "untagged-healthy"
+    assert metadata["tags"] == ["free"]
+
+
 def test_update_kwargs_with_deployment_merges_tools():
     """
     Test that when both deployment litellm_params and request have tools,

From d72eb4491ab2da2a56944c720a3200280cdd040d Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Tue, 8 Sep 2026 17:22:30 -0400
Subject: [PATCH 131/223] fix(ui): repair pass-through delete confirm dialog
 and disable delete for config endpoints

---
 .../PassThroughEndpointsTable.test.tsx        | 47 ++++++++++++++
 .../PassThroughEndpointsTableColumns.tsx      | 30 +++++++--
 .../PassThroughSettings.tsx                   | 62 ++++++++-----------
 3 files changed, 98 insertions(+), 41 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx
index 040fa463f9c..7a3fc621fc1 100644
--- a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx
+++ b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx
@@ -89,6 +89,53 @@ describe("PassThroughEndpointsTable", () => {
     expect(onDeleteClick).toHaveBeenCalledWith("ep-1");
   });
 
+  it("should disable edit and delete for config-defined endpoints", async () => {
+    const user = userEvent.setup();
+    const onEndpointClick = vi.fn();
+    const onDeleteClick = vi.fn();
+    const configEndpoint: passThroughItem = {
+      id: "ep-config",
+      path: "/from-config",
+      target: "https://config.example.com",
+      headers: {},
+      is_from_config: true,
+    };
+    render(
+      <PassThroughEndpointsTable
+        {...defaultProps}
+        endpoints={[configEndpoint]}
+        onEndpointClick={onEndpointClick}
+        onDeleteClick={onDeleteClick}
+      />,
+    );
+
+    await user.click(screen.getByTestId("endpoint-actions-ep-config"));
+    const editItem = await screen.findByTestId("endpoint-action-edit");
+    const deleteItem = await screen.findByTestId("endpoint-action-delete");
+
+    expect(editItem).toHaveAttribute("data-disabled");
+    expect(deleteItem).toHaveAttribute("data-disabled");
+
+    await user.click(editItem);
+    await user.click(deleteItem);
+
+    expect(onEndpointClick).not.toHaveBeenCalled();
+    expect(onDeleteClick).not.toHaveBeenCalled();
+  });
+
+  it("should label endpoint source as Config or DB", () => {
+    const configEndpoint: passThroughItem = {
+      id: "ep-config",
+      path: "/from-config",
+      target: "https://config.example.com",
+      headers: {},
+      is_from_config: true,
+    };
+    render(<PassThroughEndpointsTable {...defaultProps} endpoints={[...endpoints, configEndpoint]} />);
+    expect(screen.getByText("Config")).toBeInTheDocument();
+    expect(screen.getAllByText("DB")).toHaveLength(2);
+  });
+
   it("should disable edit and delete for endpoints without an id", async () => {
     const user = userEvent.setup();
     const onEndpointClick = vi.fn();
diff --git a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx
index d22b274861a..d63be628110 100644
--- a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx
+++ b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx
@@ -18,6 +18,10 @@ import { cn } from "@/lib/cva.config";
 
 import type { passThroughItem } from "./PassThroughSettings";
 
+const CONFIG_EDIT_HINT = "Config pass-through endpoints cannot be edited on the dashboard. Please edit the config file.";
+const CONFIG_DELETE_HINT =
+  "Config pass-through endpoints cannot be deleted on the dashboard. Please edit the config file.";
+
 function HeaderWithTooltip({ title, tooltip }: { title: string; tooltip: string }) {
   return (
     <div className="flex items-center gap-1">
@@ -73,6 +77,7 @@ interface EndpointRowActionsProps {
 
 function EndpointRowActions({ endpoint, onEndpointClick, onDeleteClick }: EndpointRowActionsProps) {
   const endpointId = endpoint.id;
+  const isFromConfig = endpoint.is_from_config ?? false;
   return (
     <DropdownMenu>
       <DropdownMenuTrigger
@@ -85,8 +90,9 @@ function EndpointRowActions({ endpoint, onEndpointClick, onDeleteClick }: Endpoi
       <DropdownMenuContent align="end" className="w-52">
         <DropdownMenuItem
           data-testid="endpoint-action-edit"
-          disabled={!endpointId}
-          onClick={() => endpointId && onEndpointClick(endpointId)}
+          disabled={isFromConfig || !endpointId}
+          title={isFromConfig ? CONFIG_EDIT_HINT : undefined}
+          onClick={() => !isFromConfig && endpointId && onEndpointClick(endpointId)}
         >
           <Pencil />
           Edit
@@ -95,8 +101,9 @@ function EndpointRowActions({ endpoint, onEndpointClick, onDeleteClick }: Endpoi
         <DropdownMenuItem
           variant="destructive"
           data-testid="endpoint-action-delete"
-          disabled={!endpointId}
-          onClick={() => endpointId && onDeleteClick(endpointId)}
+          disabled={isFromConfig || !endpointId}
+          title={isFromConfig ? CONFIG_DELETE_HINT : undefined}
+          onClick={() => !isFromConfig && endpointId && onDeleteClick(endpointId)}
         >
           <Trash2 />
           Delete
@@ -124,7 +131,9 @@ export const getPassThroughEndpointsTableColumns = ({
     enableSorting: false,
     cell: ({ row }) => {
       const endpointId = row.original.id;
-      if (!endpointId) return <span className="font-mono text-xs text-muted-foreground">—</span>;
+      if (!endpointId || row.original.is_from_config) {
+        return <span className="font-mono text-xs text-muted-foreground">—</span>;
+      }
       return (
         <IdentityCell
           title={endpointId}
@@ -134,6 +143,17 @@ export const getPassThroughEndpointsTableColumns = ({
       );
     },
   },
+  {
+    id: "source",
+    meta: { title: "Source", skeleton: "badge" },
+    header: "Source",
+    size: 100,
+    enableSorting: false,
+    cell: ({ row }) => {
+      const isFromConfig = row.original.is_from_config ?? false;
+      return <StatusBadge tone={isFromConfig ? "neutral" : "info"} label={isFromConfig ? "Config" : "DB"} />;
+    },
+  },
   {
     id: "path",
     accessorKey: "path",
diff --git a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughSettings.tsx b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughSettings.tsx
index 2dc6fdbd32c..8ef2766d412 100644
--- a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughSettings.tsx
+++ b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughSettings.tsx
@@ -1,4 +1,13 @@
 import React, { useState, useEffect } from "react";
+import {
+  AlertDialog,
+  AlertDialogCancel,
+  AlertDialogContent,
+  AlertDialogDescription,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogTitle,
+} from "@/components/ui/alert-dialog";
 import { Button } from "@/components/ui/button";
 import { deletePassThroughEndpointsCall, getPassThroughEndpointsCall } from "../networking";
 import AddPassThroughEndpoint from "../add_pass_through";
@@ -25,6 +34,7 @@ export interface passThroughItem {
   methods?: string[];
   guardrails?: Record<string, { request_fields?: string[]; response_fields?: string[] } | null>;
   default_query_params?: Record<string, string>;
+  is_from_config?: boolean;
 }
 
 const PassThroughSettings: React.FC<PassThroughSettingsProps> = ({ accessToken, userRole, userID, premiumUser }) => {
@@ -133,42 +143,22 @@ const PassThroughSettings: React.FC<PassThroughSettingsProps> = ({ accessToken,
         onDeleteClick={handleDelete}
       />
 
-      {isDeleteModalOpen && (
-        <div className="fixed z-overlay inset-0 overflow-y-auto">
-          <div className="flex items-end justify-center min-h-screen pt-4 px-4 pb-20 text-center sm:block sm:p-0">
-            <div className="fixed inset-0 transition-opacity" aria-hidden="true">
-              <div className="absolute inset-0 bg-gray-500 opacity-75"></div>
-            </div>
-
-            <span className="hidden sm:inline-block sm:align-middle sm:h-screen" aria-hidden="true">
-              &#8203;
-            </span>
-
-            <div className="inline-block align-bottom bg-card rounded-lg text-left overflow-hidden shadow-xl transform transition-all sm:my-8 sm:align-middle sm:max-w-lg sm:w-full">
-              <div className="bg-card px-4 pt-5 pb-4 sm:p-6 sm:pb-4">
-                <div className="sm:flex sm:items-start">
-                  <div className="mt-3 text-center sm:mt-0 sm:ml-4 sm:text-left">
-                    <h3 className="text-lg leading-6 font-medium text-foreground">Delete Pass-Through Endpoint</h3>
-                    <div className="mt-2">
-                      <p className="text-sm text-muted-foreground">
-                        Are you sure you want to delete this pass-through endpoint? This action cannot be undone.
-                      </p>
-                    </div>
-                  </div>
-                </div>
-              </div>
-              <div className="bg-muted px-4 py-3 sm:px-6 sm:flex sm:flex-row-reverse">
-                <Button variant="destructive" onClick={confirmDelete} className="ml-2">
-                  Delete
-                </Button>
-                <Button variant="outline" onClick={cancelDelete}>
-                  Cancel
-                </Button>
-              </div>
-            </div>
-          </div>
-        </div>
-      )}
+      <AlertDialog open={isDeleteModalOpen} onOpenChange={(open) => !open && cancelDelete()}>
+        <AlertDialogContent>
+          <AlertDialogHeader>
+            <AlertDialogTitle>Delete Pass-Through Endpoint</AlertDialogTitle>
+            <AlertDialogDescription>
+              Are you sure you want to delete this pass-through endpoint? This action cannot be undone.
+            </AlertDialogDescription>
+          </AlertDialogHeader>
+          <AlertDialogFooter>
+            <AlertDialogCancel>Cancel</AlertDialogCancel>
+            <Button variant="destructive" onClick={confirmDelete}>
+              Delete
+            </Button>
+          </AlertDialogFooter>
+        </AlertDialogContent>
+      </AlertDialog>
     </div>
   );
 };

From 093b473710313f22efd864e5262e5a376a0ee2ce Mon Sep 17 00:00:00 2001
From: mubashir1osmani <mubashir.osmani777@gmail.com>
Date: Tue, 8 Sep 2026 17:43:23 -0400
Subject: [PATCH 132/223] fix(ui): surface the config-endpoint hint as visible
 menu text

---
 .../PassThroughEndpointsTable.test.tsx               | 12 ++++++++++++
 .../PassThroughEndpointsTableColumns.tsx             | 12 +++++++-----
 2 files changed, 19 insertions(+), 5 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx
index 7a3fc621fc1..af3f98b746b 100644
--- a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx
+++ b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx
@@ -115,6 +115,9 @@ describe("PassThroughEndpointsTable", () => {
 
     expect(editItem).toHaveAttribute("data-disabled");
     expect(deleteItem).toHaveAttribute("data-disabled");
+    expect(screen.getByTestId("endpoint-config-hint")).toHaveTextContent(
+      "This endpoint is defined in the config file and cannot be edited or deleted on the dashboard.",
+    );
 
     await user.click(editItem);
     await user.click(deleteItem);
@@ -123,6 +126,15 @@ describe("PassThroughEndpointsTable", () => {
     expect(onDeleteClick).not.toHaveBeenCalled();
   });
 
+  it("should not show the config hint for DB endpoints", async () => {
+    const user = userEvent.setup();
+    render(<PassThroughEndpointsTable {...defaultProps} />);
+
+    await user.click(screen.getByTestId("endpoint-actions-ep-1"));
+    await screen.findByTestId("endpoint-action-delete");
+    expect(screen.queryByTestId("endpoint-config-hint")).not.toBeInTheDocument();
+  });
+
   it("should label endpoint source as Config or DB", () => {
     const configEndpoint: passThroughItem = {
       id: "ep-config",
diff --git a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx
index d63be628110..5b18685a140 100644
--- a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx
+++ b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx
@@ -18,9 +18,8 @@ import { cn } from "@/lib/cva.config";
 
 import type { passThroughItem } from "./PassThroughSettings";
 
-const CONFIG_EDIT_HINT = "Config pass-through endpoints cannot be edited on the dashboard. Please edit the config file.";
-const CONFIG_DELETE_HINT =
-  "Config pass-through endpoints cannot be deleted on the dashboard. Please edit the config file.";
+const CONFIG_ENDPOINT_HINT =
+  "This endpoint is defined in the config file and cannot be edited or deleted on the dashboard.";
 
 function HeaderWithTooltip({ title, tooltip }: { title: string; tooltip: string }) {
   return (
@@ -91,7 +90,6 @@ function EndpointRowActions({ endpoint, onEndpointClick, onDeleteClick }: Endpoi
         <DropdownMenuItem
           data-testid="endpoint-action-edit"
           disabled={isFromConfig || !endpointId}
-          title={isFromConfig ? CONFIG_EDIT_HINT : undefined}
           onClick={() => !isFromConfig && endpointId && onEndpointClick(endpointId)}
         >
           <Pencil />
@@ -102,12 +100,16 @@ function EndpointRowActions({ endpoint, onEndpointClick, onDeleteClick }: Endpoi
           variant="destructive"
           data-testid="endpoint-action-delete"
           disabled={isFromConfig || !endpointId}
-          title={isFromConfig ? CONFIG_DELETE_HINT : undefined}
           onClick={() => !isFromConfig && endpointId && onDeleteClick(endpointId)}
         >
           <Trash2 />
           Delete
         </DropdownMenuItem>
+        {isFromConfig && (
+          <div data-testid="endpoint-config-hint" className="px-2 py-1.5 text-xs text-muted-foreground">
+            {CONFIG_ENDPOINT_HINT}
+          </div>
+        )}
       </DropdownMenuContent>
     </DropdownMenu>
   );

From 547f81c1a52722f487597d93975df1fa79e9464e Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 14:46:23 -0700
Subject: [PATCH 133/223] test: type the background response retrieval test
 helpers

---
 .../proxy/policy_engine/test_response_retrieval.py       | 9 ++++++---
 .../test_litellm/proxy/test_common_request_processing.py | 2 +-
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
index 8c00b18eb63..b704f666646 100644
--- a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
+++ b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
@@ -1,4 +1,5 @@
 import logging
+from collections.abc import Mapping
 
 import pytest
 
@@ -76,14 +77,16 @@ def policy_engine():
     attachment_registry.clear()
 
 
-def _retrieval_data(model_id: str) -> dict:
+def _retrieval_data(model_id: str) -> dict[str, object]:
     return {"response_id": _encoded_response_id(model_id), "litellm_metadata": {}}
 
 
-def _attached_pipelines(data: dict) -> tuple[tuple[str, str], ...]:
+def _attached_pipelines(data: Mapping[str, object]) -> tuple[tuple[str, str], ...]:
+    bucket = data["litellm_metadata"]
+    assert isinstance(bucket, dict)
     return tuple(
         (policy_name, ",".join(step.guardrail for step in pipeline.steps))
-        for policy_name, pipeline in data["litellm_metadata"]["_guardrail_pipelines"]
+        for policy_name, pipeline in bucket["_guardrail_pipelines"]
     )
 
 
diff --git a/tests/test_litellm/proxy/test_common_request_processing.py b/tests/test_litellm/proxy/test_common_request_processing.py
index 08007e22cfb..c451a3b4cb0 100644
--- a/tests/test_litellm/proxy/test_common_request_processing.py
+++ b/tests/test_litellm/proxy/test_common_request_processing.py
@@ -8340,7 +8340,7 @@ class TestBackgroundResponseRetrievalGovernance:
         )
         return router
 
-    async def _pre_call(self, route_type: str, monkeypatch) -> dict:
+    async def _pre_call(self, route_type: str, monkeypatch: pytest.MonkeyPatch) -> dict[str, object]:
         from litellm.responses.utils import ResponsesAPIRequestUtils
 
         client_facing_response_id = "resp_opaque-client-facing-id"

From 6475443efbfecb52ef693bfd4e7149908b4283a2 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:00:25 -0700
Subject: [PATCH 134/223] fix(policy_engine): run per-chunk hook guardrails
 whose post_call pipeline cannot stream

The per-chunk streaming hook skipped every guardrail stepped by a post_call pipeline, even when the pipeline is left out of the stream for lacking the unified apply_guardrail interface, so a default_on guardrail that only implements async_post_call_streaming_hook stopped governing streams it governed on the merge base. The skip set now comes from the pipelines that gate the stream, the same way the iterator hook already computes it
---
 litellm/proxy/utils.py                        | 29 ++++++++++++---
 .../proxy_logging/test_guardrail_pipeline.py  | 37 ++++++++++++++++++-
 2 files changed, 59 insertions(+), 7 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 8b36061c6be..d40cc34476a 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -555,6 +555,24 @@ def _pipeline_is_streamable(policy_name: str, pipeline: "GuardrailPipeline") ->
     return False
 
 
+def _route_supports_streaming_pipelines(user_api_key_dict: UserAPIKeyAuth) -> bool:
+    return not user_api_key_dict.request_route or resolve_endpoint_translation(user_api_key_dict, None) is not None
+
+
+def _stream_gated_guardrail_names(
+    request_data: Mapping[str, object], user_api_key_dict: UserAPIKeyAuth
+) -> frozenset[str]:
+    if not _route_supports_streaming_pipelines(user_api_key_dict):
+        return frozenset()
+    return _pipeline_step_guardrail_names(
+        tuple(
+            (policy_name, pipeline)
+            for policy_name, pipeline in _post_call_pipelines(request_data)
+            if all(_pipeline_step_supports_unified_streaming(step.guardrail) for step in pipeline.steps)
+        )
+    )
+
+
 def _streamable_post_call_pipelines(
     request_data: Mapping[str, object], user_api_key_dict: UserAPIKeyAuth
 ) -> tuple[tuple[str, "GuardrailPipeline"], ...]:
@@ -571,13 +589,12 @@ def _streamable_post_call_pipelines(
     post_call_pipelines: Final = _post_call_pipelines(request_data)
     if not post_call_pipelines:
         return ()
-    route: Final = user_api_key_dict.request_route
-    if route and resolve_endpoint_translation(user_api_key_dict, None) is None:
+    if not _route_supports_streaming_pipelines(user_api_key_dict):
         verbose_proxy_logger.warning(
             "Policies with post_call guardrail pipelines cannot scan streaming responses on route %s yet "
             "(no endpoint guardrail translation); the stream skips the pipelines and their guardrails run "
             "on their own: %s",
-            route,
+            user_api_key_dict.request_route,
             ", ".join(policy_name for policy_name, _pipeline in post_call_pipelines),
         )
         return ()
@@ -3271,15 +3288,15 @@ class ProxyLogging:
             # dict lookups + llm_router.get_deployment() per callback per chunk.
             _cached_guardrail_data: dict | None = None
             _guardrail_data_computed = False
-            pipeline_managed: Final = (
-                _pipeline_managed_guardrail_names(data, "post_call") if caps.has_guardrail else frozenset()
+            pipeline_gated: Final = (
+                _stream_gated_guardrail_names(data, user_api_key_dict) if caps.has_guardrail else frozenset()
             )
 
             for callback in litellm.callbacks:
                 try:
                     _callback: CustomLogger | None = None
                     if isinstance(callback, CustomGuardrail):
-                        if callback.guardrail_name in pipeline_managed:
+                        if callback.guardrail_name in pipeline_gated:
                             continue
                         # Main - V2 Guardrails implementation
                         from litellm.types.guardrails import GuardrailEventHooks
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 73dd6746b29..5cb595840fc 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -2128,7 +2128,11 @@ async def test_per_chunk_streaming_hook_skips_pipeline_managed_guardrail(
             seen[self.guardrail_name] = seen.get(self.guardrail_name, 0) + 1
             return None
 
-    managed = RecordingGuardrail(
+    class UnifiedRecordingGuardrail(RecordingGuardrail):
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            return inputs
+
+    managed = UnifiedRecordingGuardrail(
         guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=True
     )
     free = RecordingGuardrail(
@@ -2147,3 +2151,34 @@ async def test_per_chunk_streaming_hook_skips_pipeline_managed_guardrail(
     assert result is not None
     assert seen.get("gr-post") is None
     assert seen["gr-free"] == 1
+
+
+@pytest.mark.asyncio
+async def test_per_chunk_streaming_hook_runs_guardrail_whose_pipeline_cannot_stream(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+
+    class ChunkHookGuardrail(CustomGuardrail):
+        async def async_post_call_streaming_hook(self, user_api_key_dict, response):
+            seen["count"] = seen.get("count", 0) + 1
+            seen["response"] = response
+            return None
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [ChunkHookGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=True)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    result = await proxy_logging.async_post_call_streaming_hook(
+        data=data,
+        response=_stream_chunks()[0],
+        user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+    )
+
+    assert result is not None
+    assert seen["count"] == 1
+    assert seen["response"] == "hello "

From 907c200b3162368cfaa0e363411997330b2da4f2 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:00:56 -0700
Subject: [PATCH 135/223] fix(spend-tracking): run one spend-log scan at a time
 and back off repeated misses

Concurrent usage reads on one worker now share a single spend-log query
instead of each scanning the same window, and a digest that comes back
nameless a second time is remembered for the full ten minutes rather than
thirty seconds, so a key that never resolves costs at most two scans per
worker per window per ten minutes. The first miss still expires after
thirty seconds so a read that lands between the daily spend flush and the
spend-log flush recovers on the next read
---
 .../spend_tracking/key_metadata_recovery.py   | 71 +++++++++++++------
 .../test_key_metadata_recovery.py             | 44 ++++++++++++
 2 files changed, 92 insertions(+), 23 deletions(-)

diff --git a/litellm/proxy/spend_tracking/key_metadata_recovery.py b/litellm/proxy/spend_tracking/key_metadata_recovery.py
index 354c6479d34..319050b87cd 100644
--- a/litellm/proxy/spend_tracking/key_metadata_recovery.py
+++ b/litellm/proxy/spend_tracking/key_metadata_recovery.py
@@ -1,3 +1,4 @@
+import asyncio
 from collections.abc import Awaitable, Callable, Mapping, Sequence
 from collections.abc import Set as AbstractSet
 from datetime import datetime
@@ -77,6 +78,7 @@ _SPEND_LOG_METADATA_CACHE: Final = InMemoryCache(
     max_size_in_memory=SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS,
     default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL,
 )
+_SPEND_LOG_QUERY_LOCK: Final = asyncio.Lock()
 _EMPTY_KEY_METADATA: Final[Mapping[str, KeyMetadataDict]] = MappingProxyType({})
 _EMPTY_EMAILS: Final[Mapping[str, str]] = MappingProxyType({})
 
@@ -205,11 +207,17 @@ def _spend_log_cache_key(digest: str, window: tuple[datetime, datetime]) -> str:
 
 def _cached_spend_log_metadata(
     cache: InMemoryCache,
-    digest: str,
+    digests: AbstractSet[str],
     window: tuple[datetime, datetime],
-) -> KeyMetadataDict | None:
-    cached: Final[object] = cache.get_cache(_spend_log_cache_key(digest, window))
-    return None if cached is None else _CACHED_KEY_METADATA.validate_python(cached)
+) -> Mapping[str, KeyMetadataDict]:
+    return MappingProxyType(
+        {
+            digest: _CACHED_KEY_METADATA.validate_python(cached)
+            for digest in digests
+            for cached in (cache.get_cache(_spend_log_cache_key(digest, window)),)
+            if cached is not None
+        }
+    )
 
 
 async def _query_spend_log_metadata(
@@ -237,12 +245,36 @@ async def _query_spend_log_metadata(
 def _remember_spend_log_metadata(
     cache: InMemoryCache, digest: str, window: tuple[datetime, datetime], meta: KeyMetadataDict | None
 ) -> None:
-    if meta is None:
-        cache.set_cache(
-            _spend_log_cache_key(digest, window), KeyMetadataDict(), ttl=SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL
-        )
+    key: Final = _spend_log_cache_key(digest, window)
+    if meta is not None:
+        cache.set_cache(key, meta)
         return
-    cache.set_cache(_spend_log_cache_key(digest, window), meta)
+    missed_before: Final = f"{key}:missed-before"
+    if cache.get_cache(missed_before) is not None:
+        cache.set_cache(key, KeyMetadataDict())
+        return
+    cache.set_cache(key, KeyMetadataDict(), ttl=SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL)
+    cache.set_cache(missed_before, True)
+
+
+async def _spend_log_metadata_one_query_at_a_time(
+    prisma_client: PrismaClient,
+    cache: InMemoryCache,
+    lock: asyncio.Lock,
+    digests: AbstractSet[str],
+    window: tuple[datetime, datetime],
+) -> Mapping[str, KeyMetadataDict]:
+    async with lock:
+        settled: Final = _cached_spend_log_metadata(cache, digests, window)
+        pending: Final = digests - frozenset(settled)
+        fresh: Final = (
+            await _query_spend_log_metadata(prisma_client, pending, window) if pending else _EMPTY_KEY_METADATA
+        )
+        if fresh is None:
+            return settled
+        for digest in pending:
+            _remember_spend_log_metadata(cache, digest, window, fresh.get(digest))
+        return MappingProxyType({**settled, **fresh})
 
 
 async def recover_key_metadata_from_spend_logs(
@@ -250,26 +282,19 @@ async def recover_key_metadata_from_spend_logs(
     missing_keys: AbstractSet[str],
     window: tuple[datetime, datetime],
     cache: InMemoryCache = _SPEND_LOG_METADATA_CACHE,
+    lock: asyncio.Lock = _SPEND_LOG_QUERY_LOCK,
 ) -> Mapping[str, KeyMetadataDict]:
     digests: Final = frozenset(key for key in missing_keys if _is_spend_log_digest(key))
     if not digests:
         return _EMPTY_KEY_METADATA
-    cached: Final = MappingProxyType(
-        {
-            digest: meta
-            for digest in digests
-            for meta in (_cached_spend_log_metadata(cache, digest, window),)
-            if meta is not None
-        }
-    )
+    cached: Final = _cached_spend_log_metadata(cache, digests, window)
     uncached: Final = digests - frozenset(cached)
-    fresh: Final = await _query_spend_log_metadata(prisma_client, uncached, window) if uncached else _EMPTY_KEY_METADATA
-    if fresh is not None:
-        for digest in uncached:
-            _remember_spend_log_metadata(cache, digest, window, fresh.get(digest))
-    return MappingProxyType(
-        {digest: meta for digest, meta in (*cached.items(), *(fresh or _EMPTY_KEY_METADATA).items()) if meta}
+    settled: Final = (
+        await _spend_log_metadata_one_query_at_a_time(prisma_client, cache, lock, uncached, window)
+        if uncached
+        else _EMPTY_KEY_METADATA
     )
+    return MappingProxyType({digest: meta for digest, meta in (*cached.items(), *settled.items()) if meta})
 
 
 def _row_with_recovered_fields(
diff --git a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
index 4f065070330..5b45777502a 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
@@ -1,3 +1,4 @@
+import asyncio
 import time
 from collections.abc import Sequence
 from datetime import datetime
@@ -415,3 +416,46 @@ async def test_recover_key_metadata_from_spend_logs_forgets_a_miss_long_before_a
     miss_expires = next(deadline for key, deadline in cache.ttl_dict.items() if unknown in key)
     assert miss_expires - started <= SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL + 1
     assert hit_expires - started >= SPEND_LOG_KEY_METADATA_CACHE_TTL - 1
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_runs_one_query_for_concurrent_lookups():
+    digest = hash_token("cli-session-shared")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    cache = InMemoryCache()
+    lock = asyncio.Lock()
+    mock_prisma = MagicMock()
+
+    async def slow_query_raw(sql: str, *params: object) -> list[dict[str, str | None]]:
+        await asyncio.sleep(0.01)
+        return [_digest_row(digest, "shared-alias", None, None)]
+
+    mock_prisma.db.query_raw = AsyncMock(side_effect=slow_query_raw)
+
+    results = await asyncio.gather(
+        *(
+            recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache, lock=lock)
+            for _ in range(9)
+        )
+    )
+
+    assert all(result[digest]["key_alias"] == "shared-alias" for result in results)
+    assert mock_prisma.db.query_raw.await_count == 1
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_keeps_a_repeated_miss_as_long_as_a_hit():
+    unknown = hash_token("cli-session-never-named")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL)
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs([])
+    await recover_key_metadata_from_spend_logs(mock_prisma, {unknown}, window, cache=cache)
+    first_miss_key = next(key for key in cache.ttl_dict if unknown in key and not key.endswith(":missed-before"))
+    cache.ttl_dict[first_miss_key] = time.time() - 1
+    started = time.time()
+
+    await recover_key_metadata_from_spend_logs(mock_prisma, {unknown}, window, cache=cache)
+
+    assert mock_prisma.db.query_raw.await_count == 2
+    assert cache.ttl_dict[first_miss_key] - started >= SPEND_LOG_KEY_METADATA_CACHE_TTL - 1

From b3bcd715e074aa11507ee81fe06f7716ecfa0bae Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:01:17 -0700
Subject: [PATCH 136/223] test(proxy): type the realtime WebRTC fixtures with
 Protocols instead of a bare Callable

---
 .../test_realtime_webrtc_endpoints.py         | 29 +++++++++++++------
 1 file changed, 20 insertions(+), 9 deletions(-)

diff --git a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
index 7436cf84fec..82f2ef097aa 100644
--- a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
+++ b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py
@@ -6,7 +6,8 @@ Tests for LiteLLM proxy realtime WebRTC HTTP endpoints:
 
 import json
 import time
-from collections.abc import Awaitable, Callable
+from collections.abc import Awaitable
+from typing import Protocol
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import httpx
@@ -161,17 +162,27 @@ def mock_route_request_realtime_calls():
     return _mock_route
 
 
+class AddLitellmDataToRequest(Protocol):
+    def __call__(self, data: dict[str, object], **kwargs: object) -> Awaitable[dict[str, object]]: ...
+
+
+class PreCallHook(Protocol):
+    def __call__(
+        self, user_api_key_dict: UserAPIKeyAuth, data: dict[str, object], call_type: str
+    ) -> Awaitable[dict[str, object]]: ...
+
+
 @pytest.fixture
-def mock_add_litellm_data():
-    async def _mock(data, **kwargs):
+def mock_add_litellm_data() -> AddLitellmDataToRequest:
+    async def _mock(data: dict[str, object], **kwargs: object) -> dict[str, object]:
         return data
 
     return _mock
 
 
 @pytest.fixture
-def mock_pre_call_hook():
-    async def _mock(user_api_key_dict, data, call_type):
+def mock_pre_call_hook() -> PreCallHook:
+    async def _mock(user_api_key_dict: UserAPIKeyAuth, data: dict[str, object], call_type: str) -> dict[str, object]:
         return data
 
     return _mock
@@ -1205,8 +1216,8 @@ async def test_transcription_sessions_wraps_route_exception(
 
 def test_realtime_calls_upstream_rejection_answers_an_openai_typed_error(
     proxy_app: FastAPI,
-    mock_add_litellm_data: Callable[..., Awaitable[object]],
-    mock_pre_call_hook: Callable[..., Awaitable[object]],
+    mock_add_litellm_data: AddLitellmDataToRequest,
+    mock_pre_call_hook: PreCallHook,
     monkeypatch: pytest.MonkeyPatch,
 ):
     """A bare HTTPException carries no type or param, so the tail used to ship the
@@ -1245,8 +1256,8 @@ def test_realtime_calls_upstream_rejection_answers_an_openai_typed_error(
 
 def test_transcription_sessions_rejection_answers_an_openai_typed_error(
     proxy_app: FastAPI,
-    mock_add_litellm_data: Callable[..., Awaitable[object]],
-    mock_pre_call_hook: Callable[..., Awaitable[object]],
+    mock_add_litellm_data: AddLitellmDataToRequest,
+    mock_pre_call_hook: PreCallHook,
     monkeypatch: pytest.MonkeyPatch,
 ):
     """A model the router cannot serve surfaces as a bare HTTPException, which this tail

From 345298f3c90871a7099952cb08e1e19d396883ee Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:04:19 -0700
Subject: [PATCH 137/223] fix(policy_engine): warn when a poll cannot re-match
 the submitted model name and keep default_on pre_call claims

---
 .../proxy/policy_engine/response_retrieval.py | 21 +++++++
 litellm/proxy/utils.py                        | 14 ++++-
 .../policy_engine/test_response_retrieval.py  | 56 ++++++++++++++++++-
 .../proxy_logging/test_guardrail_pipeline.py  | 24 ++++++++
 4 files changed, 111 insertions(+), 4 deletions(-)

diff --git a/litellm/proxy/policy_engine/response_retrieval.py b/litellm/proxy/policy_engine/response_retrieval.py
index 8fc75e40070..d284c44397e 100644
--- a/litellm/proxy/policy_engine/response_retrieval.py
+++ b/litellm/proxy/policy_engine/response_retrieval.py
@@ -18,6 +18,7 @@ from litellm.proxy.policy_engine.policy_matcher import PolicyMatcher
 from litellm.proxy.policy_engine.policy_registry import get_policy_registry
 from litellm.proxy.policy_engine.policy_resolver import PolicyResolver
 from litellm.responses.utils import ResponsesAPIRequestUtils
+from litellm.router_utils.common_utils import resolve_model_group_alias
 from litellm.types.proxy.policy_engine import PolicyMatchContext
 from litellm.types.proxy.policy_engine.pipeline_types import GuardrailPipeline
 
@@ -46,9 +47,29 @@ def _model_group_for_response_id(response_id: object, llm_router: "Router | None
     deployment: Final = llm_router.get_deployment(model_id)
     if deployment is None:
         return UngovernedRetrieval("deployment no longer in the router")
+    hidden_by: Final = _submit_model_hidden_by(deployment.model_name, llm_router.model_group_alias)
+    if hidden_by is not None:
+        verbose_proxy_logger.warning(
+            "Policy engine: background response %s re-matches policies on retrieval as model group %s (%s), "
+            "so a policy attached to the model name it was submitted as does not run on it",
+            response_id,
+            deployment.model_name,
+            hidden_by,
+        )
     return deployment.model_name
 
 
+def _submit_model_hidden_by(model_group: str, model_group_alias: Mapping[str, object]) -> str | None:
+    if "*" in model_group:
+        return "a wildcard deployment"
+    aliases: Final = tuple(
+        alias for alias in model_group_alias if resolve_model_group_alias(model_group_alias, alias) == model_group
+    )
+    if not aliases:
+        return None
+    return f"the target of model_group_alias {', '.join(aliases)}"
+
+
 def _retrieval_context(
     data: Mapping[str, object], user_api_key_dict: "UserAPIKeyAuth", model_group: str
 ) -> PolicyMatchContext:
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index e653ca6b62c..37ca52d6fc9 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -543,6 +543,16 @@ def _guardrails_outside_pipeline(policy_name: str, pipeline: "GuardrailPipeline"
     return frozenset(resolved.guardrails) - frozenset(step.guardrail for step in pipeline.steps)
 
 
+def _guardrails_run_standalone_pre_call(data: Mapping[str, object]) -> frozenset[str]:
+    return frozenset(
+        callback.guardrail_name
+        for callback in litellm.callbacks
+        if isinstance(callback, CustomGuardrail)
+        and callback.guardrail_name is not None
+        and callback.should_run_guardrail(data=data, event_type=GuardrailEventHooks.pre_call)
+    )
+
+
 def _without_names(
     bucket: dict[str, object],  # mutable-ok: the applied_* header slots live in the request-state dict hooks write
     slot: str,
@@ -567,7 +577,9 @@ def _withdraw_deferred_claims(
     outside_by_policy: Final = MappingProxyType(
         {policy_name: _guardrails_outside_pipeline(policy_name, pipeline) for policy_name, pipeline in deferred}
     )
-    running_elsewhere: Final = _pipeline_managed_guardrail_names(data, "pre_call").union(*outside_by_policy.values())
+    running_elsewhere: Final = _pipeline_managed_guardrail_names(data, "pre_call").union(
+        _guardrails_run_standalone_pre_call(data), *outside_by_policy.values()
+    )
     withdrawn_policies: Final = frozenset(name for name, outside in outside_by_policy.items() if not outside)
     withdrawn_guardrails: Final = _pipeline_step_guardrail_names(deferred) - running_elsewhere
     _, bucket = get_or_create_metadata_bucket(data)
diff --git a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
index b704f666646..9dcbef888ce 100644
--- a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
+++ b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
@@ -14,11 +14,14 @@ GOVERNED_MODEL_GROUP = "gpt-5.4-mini"
 GOVERNED_MODEL_ID = "deployment-governed"
 UNGOVERNED_MODEL_GROUP = "gpt-4.1-mini"
 UNGOVERNED_MODEL_ID = "deployment-ungoverned"
+WILDCARD_MODEL_GROUP = "openai/*"
+WILDCARD_MODEL_ID = "deployment-wildcard"
 
 
 class FakeRouter:
-    def __init__(self, deployments: dict[str, Deployment]):
+    def __init__(self, deployments: dict[str, Deployment], model_group_alias: dict[str, object] | None = None):
         self._deployments = deployments
+        self.model_group_alias = model_group_alias or {}
 
     def get_deployment(self, model_id: str) -> Deployment | None:
         return self._deployments.get(model_id)
@@ -32,12 +35,14 @@ def _deployment(model_group: str, model_id: str) -> Deployment:
     )
 
 
-def _router() -> FakeRouter:
+def _router(model_group_alias: dict[str, object] | None = None) -> FakeRouter:
     return FakeRouter(
         {
             GOVERNED_MODEL_ID: _deployment(GOVERNED_MODEL_GROUP, GOVERNED_MODEL_ID),
             UNGOVERNED_MODEL_ID: _deployment(UNGOVERNED_MODEL_GROUP, UNGOVERNED_MODEL_ID),
-        }
+            WILDCARD_MODEL_ID: _deployment(WILDCARD_MODEL_GROUP, WILDCARD_MODEL_ID),
+        },
+        model_group_alias,
     )
 
 
@@ -133,6 +138,51 @@ def test_already_attached_policy_is_not_attached_twice(policy_engine):
     assert data["litellm_metadata"]["applied_policies"] == ["response-governance"]
 
 
+def _hidden_submit_model_warnings(caplog: pytest.LogCaptureFixture) -> list[str]:
+    return [
+        record.getMessage()
+        for record in caplog.records
+        if record.levelno == logging.WARNING and "the model name it was submitted as" in record.getMessage()
+    ]
+
+
+def test_wildcard_deployment_attaches_nothing_for_the_submitted_model_and_warns(policy_engine, caplog):
+    data = _retrieval_data(WILDCARD_MODEL_ID)
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+
+    assert data == _retrieval_data(WILDCARD_MODEL_ID)
+    assert [
+        "as model group openai/* (a wildcard deployment)" in message for message in _hidden_submit_model_warnings(caplog)
+    ] == [True]
+
+
+def test_aliased_model_group_still_attaches_its_own_policies_and_warns(policy_engine, caplog):
+    data = _retrieval_data(GOVERNED_MODEL_ID)
+    router = _router({"gpt-mini": GOVERNED_MODEL_GROUP, "gpt-hidden": {"model": GOVERNED_MODEL_GROUP, "hidden": True}})
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=router)
+
+    assert _attached_pipelines(data) == (("response-governance", "output-word-filter"),)
+    assert [
+        "(the target of model_group_alias gpt-mini, gpt-hidden)" in message
+        for message in _hidden_submit_model_warnings(caplog)
+    ] == [True]
+
+
+def test_plain_model_group_retrieval_does_not_warn_about_the_submitted_model(policy_engine, caplog):
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        attach_post_call_pipelines_to_retrieval(
+            data=_retrieval_data(GOVERNED_MODEL_ID),
+            user_api_key_dict=UserAPIKeyAuth(),
+            llm_router=_router({"other-alias": UNGOVERNED_MODEL_GROUP}),
+        )
+
+    assert _hidden_submit_model_warnings(caplog) == []
+
+
 def _ungoverned_retrieval_warnings(caplog: pytest.LogCaptureFixture) -> list[str]:
     return [
         record.getMessage()
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 8da07f39fd8..7e0736d4e67 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1561,6 +1561,30 @@ async def test_pending_background_response_keeps_the_claim_of_a_policy_that_runs
     assert data["metadata"]["policy_sources"] == {"input-and-output-governance": "model:m"}
 
 
+@pytest.mark.asyncio
+async def test_pending_background_response_keeps_the_claim_of_a_default_on_guardrail_that_ran_pre_call(
+    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry
+):
+    class DualStageGuardrail(CustomGuardrail):
+        async def async_post_call_success_hook(self, data, user_api_key_dict, response):
+            return response
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [DualStageGuardrail(guardrail_name="gr-post", event_hook=["pre_call", "post_call"], default_on=True)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _claimed_post_call_pipeline_data("response-governance")
+
+    await proxy_logging.post_call_success_hook(
+        data=data, response=_background_response("queued"), user_api_key_dict=make_user_api_key_auth()
+    )
+
+    assert "applied_policies" not in data["metadata"]
+    assert data["metadata"]["applied_guardrails"] == ["gr-post"]
+
+
 @pytest.mark.asyncio
 async def test_retrieved_background_response_keeps_the_policy_claim_once_its_pipeline_ran(
     proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry

From d963e9fa6e770e359bdf17bbf2c47c729667e1b6 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:06:20 -0700
Subject: [PATCH 138/223] fix(proxy): keep team member budget enforced at the
 cap and across Redis counter expiry (#40304)

* fix(proxy): keep team member budget enforced at the cap and across Redis counter expiry

The cached-key auth path admitted a request when the team member counter sat exactly at max_budget, and a Redis counter that expired during a long stream was reconciled against this pod's stale in-memory copy, driving the shared counter negative and reopening the budget. Reject at >= like every other budget check, read Redis before the per-pod copy when judging the reconcile delta, and add the settled request cost after a DB reseed since reserved keys skip the normal increment

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): reseeded reservation counter also carries the settled request cost

The reseed test asserted counter == DB floor. The floor is read before the async spend flush writes this request, so the counter now lands at floor plus settled cost, matching the after leg in the PR proof

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/proxy/auth/user_api_key_auth.py       |   2 +-
 litellm/proxy/proxy_server.py                 |  46 ++++----
 .../spend_tracking/budget_reservation.py      |  28 +++--
 .../proxy/auth/test_user_api_key_auth.py      | 103 ++++++++++++++++++
 .../proxy/test_budget_reservation.py          |  68 ++++++++++++
 tests/test_litellm/proxy/test_proxy_server.py |   8 +-
 6 files changed, 212 insertions(+), 43 deletions(-)

diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index b39b1f330b3..d8679627bc3 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -2038,7 +2038,7 @@ async def _user_api_key_auth_builder(
                                     fallback_spend=team_member_spend,
                                     max_budget=team_member_budget,
                                 )
-                            if team_member_spend > team_member_budget:
+                            if team_member_spend >= team_member_budget:
                                 _entity_id: Final = f"{valid_token.user_id}:{valid_token.team_id}"
                                 raise litellm.BudgetExceededError(
                                     current_cost=team_member_spend,
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 38c4c2e96c9..238fd841ce1 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -2582,10 +2582,11 @@ async def _repair_stale_spend_counter(counter_key: str, db_spend: float) -> None
             )
 
 
-async def reseed_spend_counter_from_db(counter_key: str) -> None:
+async def reseed_spend_counter_from_db(counter_key: str) -> bool:
     """Recover a counter that the reservation reconcile found in an inconsistent
     state (missing, or where applying the reconcile delta would drive it
-    negative) by reseeding it from the DB instead of deleting it.
+    negative) by reseeding it from the DB instead of deleting it. Returns
+    whether a DB row was found and the counter was reseeded.
 
     The DB row is a LAGGING authoritative floor, not post-request truth: the
     entity .spend column is flushed in batches (every PROXY_BATCH_WRITE_AT), so
@@ -2600,8 +2601,9 @@ async def reseed_spend_counter_from_db(counter_key: str) -> None:
     """
     db_spend: Final = await SpendCounterReseed.from_db(prisma_client=prisma_client, counter_key=counter_key)
     if db_spend is None:
-        return
+        return False
     await _repair_stale_spend_counter(counter_key=counter_key, db_spend=db_spend)
+    return True
 
 
 async def _floor_spend_from_db(
@@ -2663,21 +2665,14 @@ async def _authoritative_floor_spend(
     return db_spend
 
 
-async def _read_spend_counter_estimate(counter_key: str, fallback_spend: float) -> tuple[float, bool]:
-    """Return (spend, authoritative). ``authoritative`` is True when the value
-    came from Redis or a fresh DB read (cross-pod truth), False when it came
-    from the per-pod in-memory copy or the caller's fallback. Only the
-    fail-closed path reads the flag; normal callers ignore it."""
-    # 1. Redis first (cross-pod authoritative). On clean miss, skip
-    # in-memory: per-pod in-memory only has this pod's writes, so it
-    # would mask cross-pod increments.
-    redis_clean_miss = False
+async def read_spend_counter_cache_value(counter_key: str) -> tuple[float | None, bool]:
+    """Return (value, authoritative) for the live counter, None when absent. A clean
+    Redis miss is final: the per-pod in-memory copy outlives the Redis TTL and only
+    holds this pod's writes, so it is consulted only when Redis is unreachable."""
     if spend_counter_cache.redis_cache is not None:
         try:
-            val = await spend_counter_cache.redis_cache.async_get_cache(key=counter_key)
-            if val is not None:
-                return float(val), True
-            redis_clean_miss = True
+            redis_val: Final = await spend_counter_cache.redis_cache.async_get_cache(key=counter_key)
+            return (float(redis_val) if redis_val is not None else None), True
         except Exception as e:
             verbose_proxy_logger.debug(
                 "get_current_spend: Redis read failed for %s, falling back to in-memory: %s",
@@ -2685,13 +2680,20 @@ async def _read_spend_counter_estimate(counter_key: str, fallback_spend: float)
                 e,
             )
 
-    # 2. In-memory only when Redis is unreachable.
-    if not redis_clean_miss:
-        val = spend_counter_cache.in_memory_cache.get_cache(key=counter_key)
-        if val is not None:
-            return float(val), False
+    in_memory_val: Final = spend_counter_cache.in_memory_cache.get_cache(key=counter_key)
+    return (float(in_memory_val) if in_memory_val is not None else None), False
 
-    # 3. Reseed from DB - fallback_spend lags cross-pod, would allow bypass.
+
+async def _read_spend_counter_estimate(counter_key: str, fallback_spend: float) -> tuple[float, bool]:
+    """Return (spend, authoritative). ``authoritative`` is True when the value
+    came from Redis or a fresh DB read (cross-pod truth), False when it came
+    from the per-pod in-memory copy or the caller's fallback. Only the
+    fail-closed path reads the flag; normal callers ignore it."""
+    cached_val, cached_authoritative = await read_spend_counter_cache_value(counter_key=counter_key)
+    if cached_val is not None:
+        return cached_val, cached_authoritative
+
+    # Reseed from DB - fallback_spend lags cross-pod, would allow bypass.
     db_spend: Final = await SpendCounterReseed.coalesced(
         prisma_client=prisma_client,
         spend_counter_cache=spend_counter_cache,
diff --git a/litellm/proxy/spend_tracking/budget_reservation.py b/litellm/proxy/spend_tracking/budget_reservation.py
index 152f3befa15..d9f6e33c43c 100644
--- a/litellm/proxy/spend_tracking/budget_reservation.py
+++ b/litellm/proxy/spend_tracking/budget_reservation.py
@@ -905,13 +905,13 @@ async def _set_reserved_entry_actual_cost(
             increment=adjustment,
         )
     elif reseed_on_inconsistent:
-        # Post-call reconcile / release: the counter was flushed or reseeded
-        # between reservation and reconcile (Redis restart / cross-pod reset),
-        # so the optimistic delta no longer applies. Recover by reseeding from
-        # the DB's lagging authoritative floor rather than deleting the counter
-        # and failing open — deleting it is what left budgets unenforced after a
-        # Redis reload.
-        await reseed_spend_counter_from_db(counter_key=counter_key)
+        # Post-call reconcile / release: the counter was flushed, expired or reseeded
+        # between reservation and reconcile, so the optimistic delta no longer applies.
+        # Reseed from the DB floor (which cannot include this request's cost yet) and
+        # add the settled cost, since increment_spend_counters skips reserved keys.
+        reseeded: Final = await reseed_spend_counter_from_db(counter_key=counter_key)
+        if reseeded and actual_cost > 0:
+            await _increment_spend_counter_cache(counter_key=counter_key, increment=actual_cost)
     else:
         # Pre-call admission resize: the in-flight reservation cost is not yet
         # persisted, so the DB floor would discard it. Keep the original
@@ -925,18 +925,16 @@ async def _counter_can_apply_adjustment(
     counter_key: str,
     adjustment: float,
 ) -> bool:
-    from litellm.proxy.proxy_server import spend_counter_cache
+    from litellm.proxy.proxy_server import read_spend_counter_cache_value
 
-    current_value: Final = await spend_counter_cache.async_get_cache(key=counter_key)
+    try:
+        current_value, _ = await read_spend_counter_cache_value(counter_key=counter_key)
+    except (TypeError, ValueError):
+        return False
     if current_value is None:
         return False
 
-    try:
-        current_float: Final = float(current_value)
-    except (TypeError, ValueError):
-        return False
-
-    return not (adjustment < 0 and current_float + adjustment < -1e-12)
+    return not (adjustment < 0 and current_value + adjustment < -1e-12)
 
 
 async def _release_applied_entries_best_effort(
diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
index 541aeabcbcd..f1a269cc00a 100644
--- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
+++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
@@ -6767,6 +6767,109 @@ async def test_temp_budget_increase_applied_for_cached_key():
     assert cached_after.max_budget == 2.0
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "team_member_spend, expect_blocked",
+    [
+        (2.4, True),
+        (2.4000000000000004, True),
+        (2.39, False),
+    ],
+)
+async def test_cached_key_team_member_budget_blocks_at_exact_cap(team_member_spend, expect_blocked):
+    """A team member counter sitting exactly at the cap (where a resized reservation
+    lands it) must be rejected by the cached-key auth path like every other budget check."""
+    from litellm.proxy._types import LiteLLM_TeamMembership, LiteLLM_TeamTableCachedObj
+    from litellm.proxy.common_utils.user_api_key_cache import team_membership_auth_cache_key
+    from litellm.proxy.utils import hash_token
+
+    api_key = "sk-team-member-exact-cap"
+    hashed_token = hash_token(api_key)
+    team_id = "team-exact-cap"
+    user_id = "user-exact-cap"
+    max_budget = 2.4
+
+    user_api_key_cache = DualCache()
+    await _cache_key_object(
+        hashed_token=hashed_token,
+        user_api_key_obj=UserAPIKeyAuth(
+            token=hashed_token,
+            team_id=team_id,
+            user_id=user_id,
+            team_member_spend=team_member_spend,
+        ),
+        user_api_key_cache=user_api_key_cache,
+        proxy_logging_obj=None,
+    )
+    await user_api_key_cache.async_set_cache(
+        key=f"team_id:{team_id}",
+        value=LiteLLM_TeamTableCachedObj(team_id=team_id),
+    )
+    await user_api_key_cache.async_set_cache(
+        key=user_id,
+        value=LiteLLM_UserTable(user_id=user_id, user_role=LitellmUserRoles.INTERNAL_USER),
+    )
+    await user_api_key_cache.async_set_cache(
+        key=team_membership_auth_cache_key(team_id=team_id, user_id=user_id),
+        value=LiteLLM_TeamMembership(
+            user_id=user_id,
+            team_id=team_id,
+            spend=team_member_spend,
+            budget_id="budget-exact-cap",
+            litellm_budget_table=LiteLLM_BudgetTable(max_budget=max_budget),
+        ),
+    )
+
+    mock_request = MagicMock()
+    mock_request.url.path = "/v1/messages"
+    mock_request.method = "POST"
+    mock_request.headers = {"authorization": f"Bearer {api_key}"}
+    mock_request.query_params = {}
+    mock_request.state = SimpleNamespace()
+
+    proxy_logging_obj = MagicMock()
+    proxy_logging_obj.budget_alerts = AsyncMock()
+    proxy_logging_obj.post_call_failure_hook = AsyncMock(return_value=None)
+
+    async def _auth():
+        return await _user_api_key_auth_builder(
+            request=mock_request,
+            api_key=f"Bearer {api_key}",
+            azure_api_key_header="",
+            anthropic_api_key_header=None,
+            google_ai_studio_api_key_header=None,
+            azure_apim_header=None,
+            request_data={"model": "claude-sonnet-5", "messages": [{"role": "user", "content": "hi"}]},
+        )
+
+    with (
+        patch(  # test-quality-ok: the builder reads proxy settings from module globals, no injection seam
+            "litellm.proxy.proxy_server.general_settings", {"disable_budget_reservation": True}
+        ),
+        patch("litellm.proxy.proxy_server.master_key", "sk-master"),  # test-quality-ok: module-global proxy state
+        patch("litellm.proxy.proxy_server.prisma_client", MagicMock()),  # test-quality-ok: module-global proxy state
+        patch(  # test-quality-ok: seed the cached key, team and membership without a DB
+            "litellm.proxy.proxy_server.user_api_key_cache", user_api_key_cache
+        ),
+        patch(  # test-quality-ok: module-global proxy state
+            "litellm.proxy.proxy_server.proxy_logging_obj", proxy_logging_obj
+        ),
+        patch(  # test-quality-ok: the live counter needs Redis or a DB; pin the spend the check compares
+            "litellm.proxy.proxy_server.get_current_spend",
+            new=AsyncMock(return_value=team_member_spend),
+        ),
+    ):
+        if not expect_blocked:
+            result = await _auth()
+            assert result.team_member_spend == team_member_spend
+            return
+        with pytest.raises(ProxyException) as exc_info:
+            await _auth()
+
+    assert exc_info.value.type == ProxyErrorTypes.budget_exceeded
+    assert f"TeamMember={user_id}:{team_id}" in exc_info.value.message
+
+
 async def _proxy_exception_for_key(
     api_key: str,
     general_settings: dict[str, bool],
diff --git a/tests/test_litellm/proxy/test_budget_reservation.py b/tests/test_litellm/proxy/test_budget_reservation.py
index b8fb6170d34..6dab054d8ea 100644
--- a/tests/test_litellm/proxy/test_budget_reservation.py
+++ b/tests/test_litellm/proxy/test_budget_reservation.py
@@ -2198,6 +2198,74 @@ async def test_release_non_numeric_counter_reseeds_from_db(spend_counter_state):
     assert reservation["finalized"] is True
 
 
+class _ExpiringRedisCache:
+    def __init__(self) -> None:
+        self.store: dict[str, float] = {}
+
+    async def async_get_cache(self, key: str, *args: object, **kwargs: object) -> float | None:
+        return self.store.get(key)
+
+    async def async_increment(self, key: str, value: float, **kwargs: object) -> float:
+        self.store[key] = self.store.get(key, 0.0) + float(value)
+        return self.store[key]
+
+    async def async_set_max(self, key: str, value: float, **kwargs: object) -> float:
+        self.store[key] = max(self.store.get(key, float("-inf")), float(value))
+        return self.store[key]
+
+    async def async_set_cache(self, key: str, value: float, *args: object, **kwargs: object) -> bool:
+        self.store[key] = float(value)
+        return True
+
+    async def async_delete_cache(self, key: str, *args: object, **kwargs: object) -> None:
+        self.store.pop(key, None)
+
+
+@pytest.mark.asyncio
+async def test_reconcile_after_redis_counter_expiry_keeps_request_cost_enforced(
+    spend_counter_state,
+):
+    """Redis key expired mid-stream while the pod's in-memory copy still holds the
+    reserved value: reconcile must reseed from the DB floor plus the settled cost
+    instead of applying ``actual - reserved`` to the empty key."""
+    import litellm.proxy.proxy_server as ps
+
+    counter_cache, _ = spend_counter_state
+    counter_key = "spend:team_member:user-expiry:team-expiry"
+    redis_cache = _ExpiringRedisCache()
+    counter_cache.redis_cache = redis_cache
+    counter_cache.in_memory_cache.set_cache(key=counter_key, value=0.6)
+
+    reservation = {
+        "reserved_cost": 0.6,
+        "entries": [
+            {
+                "counter_key": counter_key,
+                "entity_type": "TeamMember",
+                "entity_id": "user-expiry:team-expiry",
+                "reserved_cost": 0.6,
+                "applied_adjustment": 0.0,
+            }
+        ],
+        "finalized": False,
+    }
+
+    with patch.object(  # test-quality-ok: the reseed reads the DB floor through a Prisma client the test has no seam for
+        ps.SpendCounterReseed, "from_db", AsyncMock(return_value=0.3)
+    ):
+        await ps.increment_spend_counters(
+            token="key-expiry",
+            team_id="team-expiry",
+            user_id="user-expiry",
+            response_cost=0.05,
+            budget_reservation=reservation,
+        )
+
+    assert redis_cache.store[counter_key] == pytest.approx(0.35)
+    assert counter_cache.in_memory_cache.get_cache(key=counter_key) == pytest.approx(0.35)
+    assert reservation["finalized"] is True
+
+
 @pytest.mark.asyncio
 async def test_should_invalidate_reserved_counters_after_persisted_spend_failure(
     spend_counter_state,
diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py
index 6a901c5e7de..54579e6cb7c 100644
--- a/tests/test_litellm/proxy/test_proxy_server.py
+++ b/tests/test_litellm/proxy/test_proxy_server.py
@@ -8356,8 +8356,8 @@ async def test_increment_spend_counters_reseeds_from_db_on_bad_reserved_counter(
     """When the reservation reconcile finds the counter in an inconsistent state
     (here: missing), it must NOT delete the counter and fail open (the old
     behavior, which left the counter unenforced after a Redis reload). It reseeds
-    from the authoritative DB so the counter reflects the recorded total and
-    budget gating continues."""
+    from the authoritative DB and adds this request's settled cost, which the
+    async spend flush has not written yet, so budget gating continues."""
     from litellm.caching.dual_cache import DualCache
     from litellm.proxy.proxy_server import increment_spend_counters
     from litellm.proxy.db.spend_counter_reseed import SpendCounterReseed
@@ -8394,9 +8394,7 @@ async def test_increment_spend_counters_reseeds_from_db_on_bad_reserved_counter(
             )
 
         assert budget_reservation["finalized"] is True
-        # counter reseeded to the authoritative DB value, not deleted/left None
-        # and not double-counted via a direct increment
-        assert counter_cache.in_memory_cache.get_cache(key="spend:key:key-bad-reserved-counter") == pytest.approx(0.6)
+        assert counter_cache.in_memory_cache.get_cache(key="spend:key:key-bad-reserved-counter") == pytest.approx(0.85)
     finally:
         ps.spend_counter_cache = orig_counter
         ps.prisma_client = orig_prisma

From 00381ef03baedc9c9f7bec55f8c6139ecdb75f21 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 15:07:18 -0700
Subject: [PATCH 139/223] test: validate opaque stream IDs and hide log-reader
 credentials

---
 .../test_responses_bridge_streaming_e2e.py    | 24 ++++++++++++-------
 tests/e2e/logging/datadog_reader.py           | 10 ++++----
 tests/e2e/logging/test_datadog_reader.py      | 20 ++++++++++++++++
 3 files changed, 40 insertions(+), 14 deletions(-)
 create mode 100644 tests/e2e/logging/test_datadog_reader.py

diff --git a/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py b/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py
index 9a45743a0cd..75817340876 100644
--- a/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py
+++ b/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py
@@ -16,8 +16,10 @@ into a chat completion chunk. Two customer-visible contracts only hold on that p
 
 from __future__ import annotations
 
+from typing import Final, Literal
+
 import pytest
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 from e2e_config import unique_marker
 from e2e_http import StreamingResponse
@@ -51,7 +53,8 @@ class _BridgeChoice(BaseModel):
 
 class _BridgeChunk(BaseModel):
     id: str
-    choices: list[_BridgeChoice] = []
+    object: Literal["chat.completion.chunk"]
+    choices: list[_BridgeChoice] = Field(default_factory=list)
 
 
 class _WeatherArgs(BaseModel):
@@ -103,16 +106,19 @@ class TestResponsesBridgeChatCompletionsStreaming:
             resources.key(),
             ChatBody(
                 model=bridged_model,
-                messages=[ChatMessage(role="user", content=f"Count from 1 to 5, one number per line. {unique_marker()}")],
+                messages=[
+                    ChatMessage(role="user", content=f"Count from 1 to 5, one number per line. {unique_marker()}")
+                ],
                 max_tokens=64,
                 stream=True,
             ),
         )
 
-        chunks = _bridge_chunks(result)
-        ids = {chunk.id for chunk in chunks}
+        chunks: Final = _bridge_chunks(result)
+        assert len(chunks) > 1, "the shared-id contract needs more than one streamed chunk"
+        ids: Final = frozenset(chunk.id for chunk in chunks)
         assert len(ids) == 1, f"bridged stream used {len(ids)} different chunk ids: {sorted(ids)[:5]}"
-        assert ids.pop().startswith("chatcmpl-"), f"bridged chunk id is not chat-completion shaped: {chunks[0].id}"
+        assert chunks[0].id.strip(), "bridged stream emitted an empty chunk id"
 
     @pytest.mark.covers(
         "llm.chat_completions.openai.basic.stream.bridge_streams_sse",
@@ -134,9 +140,9 @@ class TestResponsesBridgeChatCompletionsStreaming:
         chunks = _bridge_chunks(result)
         content = "".join(choice.delta.content or "" for chunk in chunks for choice in chunk.choices)
         assert content.strip(), f"bridged stream completed with no content deltas: {result.stream_events[:3]}"
-        assert any(
-            choice.finish_reason for chunk in chunks for choice in chunk.choices
-        ), f"bridged stream never emitted a finish_reason: {result.stream_events[-3:]}"
+        assert any(choice.finish_reason for chunk in chunks for choice in chunk.choices), (
+            f"bridged stream never emitted a finish_reason: {result.stream_events[-3:]}"
+        )
         assert result.stream_done, f"bridged stream did not terminate with [DONE]: {result.stream_events[-2:]}"
 
     @pytest.mark.covers(
diff --git a/tests/e2e/logging/datadog_reader.py b/tests/e2e/logging/datadog_reader.py
index d0f478185c2..7b4372ef9ba 100644
--- a/tests/e2e/logging/datadog_reader.py
+++ b/tests/e2e/logging/datadog_reader.py
@@ -13,7 +13,7 @@ empty result. External reads go through ``e2e_http``.
 from __future__ import annotations
 
 import time
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 
 import pytest
 from pydantic import BaseModel, ConfigDict, Field
@@ -36,8 +36,8 @@ _RATE_LIMIT_RETRIES = 5
 
 
 class _DdAuthHeaders(Headers):
-    api_key: str = Field(serialization_alias="DD-API-KEY")
-    app_key: str = Field(serialization_alias="DD-APPLICATION-KEY")
+    api_key: str = Field(serialization_alias="DD-API-KEY", repr=False)
+    app_key: str = Field(serialization_alias="DD-APPLICATION-KEY", repr=False)
 
 
 class _SearchFilter(BaseModel):
@@ -88,8 +88,8 @@ class _SearchResponse(BaseModel):
 @dataclass(frozen=True, slots=True)
 class DdLogsReader:
     site: str
-    api_key: str
-    app_key: str
+    api_key: str = field(repr=False)
+    app_key: str = field(repr=False)
 
     def events_for_marker(self, marker: str) -> list[DdLogEvent]:
         """Every ingested event whose attributes carry the marker. DataDog
diff --git a/tests/e2e/logging/test_datadog_reader.py b/tests/e2e/logging/test_datadog_reader.py
new file mode 100644
index 00000000000..00624bd3c84
--- /dev/null
+++ b/tests/e2e/logging/test_datadog_reader.py
@@ -0,0 +1,20 @@
+from typing import Final
+
+from datadog_reader import DdLogsReader
+from datadog_reader import _DdAuthHeaders  # pyright: ignore[reportPrivateUsage]  # verifies private auth-header serialization
+
+
+def test_failure_diagnostics_hide_credentials_without_changing_auth_headers() -> None:
+    api_key: Final = "test-datadog-api-secret"
+    app_key: Final = "test-datadog-app-secret"
+    reader: Final = DdLogsReader(site="datadoghq.com", api_key=api_key, app_key=app_key)
+    headers: Final = _DdAuthHeaders(api_key=api_key, app_key=app_key)
+
+    for value in (reader, headers):
+        assert api_key not in repr(value)
+        assert app_key not in repr(value)
+
+    assert headers.model_dump(by_alias=True) == {
+        "DD-API-KEY": api_key,
+        "DD-APPLICATION-KEY": app_key,
+    }

From 568ea11ea1b405e7a7b0c50e8750cca640aa907b Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 15:26:49 -0700
Subject: [PATCH 140/223] chore(ui): bump Next.js and Vitest dependencies

---
 ui/litellm-dashboard/package-lock.json        | 619 +++++++-----------
 ui/litellm-dashboard/package.json             |  11 +-
 .../AccessGroupCreateDialog.test.tsx          |   4 +-
 .../cloudzero/useCloudZeroCreate.test.ts      |   4 +-
 .../cloudzero/useCloudZeroDryRun.test.ts      |   4 +-
 .../cloudzero/useCloudZeroExport.test.ts      |   4 +-
 .../cloudzero/useCloudZeroSettings.test.ts    |  11 +-
 .../hooks/proxyConfig/useProxyConfig.test.ts  |  10 +-
 .../storeModelInDB/useStoreModelInDB.test.ts  |   4 +-
 .../_components/ToolTestPanel.test.tsx        |   4 +-
 .../DefaultUserSettingsForm.test.tsx          |   7 +-
 .../view_users/UsersTable.test.tsx            |   4 +-
 ...lassifierPromptEditor.integration.test.tsx |   4 +-
 .../add_model/ComplexityRouterConfig.test.tsx |   4 +-
 .../org-create/OrgCreateDialog.test.tsx       |   4 +-
 .../org-settings/OrgSettingsForm.test.tsx     |   8 +-
 16 files changed, 265 insertions(+), 441 deletions(-)

diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json
index 4e5b0c1dda6..d920205d203 100644
--- a/ui/litellm-dashboard/package-lock.json
+++ b/ui/litellm-dashboard/package-lock.json
@@ -24,7 +24,7 @@
         "jwt-decode": "4.0.0",
         "lucide-react": "0.513.0",
         "moment": "2.30.1",
-        "next": "16.2.11",
+        "next": "16.3.3",
         "next-themes": "^0.4.6",
         "nuqs": "^2.9.4",
         "openai": "4.104.0",
@@ -58,10 +58,10 @@
         "@types/react-copy-to-clipboard": "5.0.7",
         "@types/react-dom": "19.2.4",
         "@types/react-syntax-highlighter": "15.5.13",
-        "@vitest/coverage-v8": "3.2.6",
-        "@vitest/ui": "3.2.6",
+        "@vitest/coverage-v8": "4.1.11",
+        "@vitest/ui": "4.1.11",
         "eslint": "9.39.2",
-        "eslint-config-next": "16.2.11",
+        "eslint-config-next": "16.3.3",
         "eslint-config-prettier": "10.1.8",
         "eslint-plugin-jest-dom": "5.10.1",
         "eslint-plugin-testing-library": "7.16.2",
@@ -75,7 +75,8 @@
         "tw-animate-css": "1.4.0",
         "typescript": "5.9.3",
         "typescript-eslint": "8.60.1",
-        "vitest": "3.2.6"
+        "vite": "7.3.5",
+        "vitest": "4.1.11"
       },
       "engines": {
         "node": ">=24.14.1",
@@ -109,20 +110,6 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/@ampproject/remapping": {
-      "version": "2.3.0",
-      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
-      "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "dependencies": {
-        "@jridgewell/gen-mapping": "^0.3.5",
-        "@jridgewell/trace-mapping": "^0.3.24"
-      },
-      "engines": {
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+      "version": "1.3.1",
+      "resolved": "https://registry.npmjs.org/tinyexec/-/tinyexec-1.3.1.tgz",
+      "integrity": "sha512-GCvB3aoys96IuDFBMcTB46JOR6mdMtAToqwiW8JlWhsoh1mhHi/xn9ss/Dg7N555GiJyEt2qzoG/NHCwM6h1EA==",
       "dev": true,
-      "license": "MIT"
+      "license": "MIT",
+      "engines": {
+        "node": ">=18"
+      }
     },
     "node_modules/tinyglobby": {
       "version": "0.2.16",
@@ -11890,30 +11743,10 @@
         "url": "https://github.com/sponsors/SuperchupuDev"
       }
     },
-    "node_modules/tinypool": {
-      "version": "1.1.1",
-      "resolved": "https://registry.npmjs.org/tinypool/-/tinypool-1.1.1.tgz",
-      "integrity": "sha512-Zba82s87IFq9A9XmjiX5uZA/ARWDrB03OHlq+Vw1fSdt0I+4/Kutwy8BP4Y/y/aORMo61FQ0vIb5j44vSo5Pkg==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": "^18.0.0 || >=20.0.0"
-      }
-    },
     "node_modules/tinyrainbow": {
-      "version": "2.0.0",
-      "resolved": "https://registry.npmjs.org/tinyrainbow/-/tinyrainbow-2.0.0.tgz",
-      "integrity": "sha512-op4nsTR47R6p0vMUUoYl/a+ljLFVtlfaXkLQmqfLR1qHma1h/ysYk4hEXZ880bf2CYgTskvTa/e196Vd5dDQXw==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=14.0.0"
-      }
-    },
-    "node_modules/tinyspy": {
-      "version": "4.0.4",
-      "resolved": "https://registry.npmjs.org/tinyspy/-/tinyspy-4.0.4.tgz",
-      "integrity": "sha512-azl+t0z7pw/z958Gy9svOTuzqIk6xq+NSheJzn5MMWtWTFywIacg2wUlzKFGtt3cthx0r2SxMK0yzJOR0IES7Q==",
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/tinyrainbow/-/tinyrainbow-3.1.1.tgz",
+      "integrity": "sha512-yau8yJdTt989Mm0Bd/236QnzEiPf2xLLTqUZRUJOo/3CB078LSwzei343DgtJVmfJKJE3TMINY1u42SQsP6mXw==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -12547,29 +12380,6 @@
         }
       }
     },
-    "node_modules/vite-node": {
-      "version": "3.2.4",
-      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-3.2.4.tgz",
-      "integrity": "sha512-EbKSKh+bh1E1IFxeO0pg1n4dvoOTt0UDiXMd/qn++r98+jPO1xtJilvXldeuQ8giIB5IkpjCgMleHMNEsGH6pg==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "cac": "^6.7.14",
-        "debug": "^4.4.1",
-        "es-module-lexer": "^1.7.0",
-        "pathe": "^2.0.3",
-        "vite": "^5.0.0 || ^6.0.0 || ^7.0.0-0"
-      },
-      "bin": {
-        "vite-node": "vite-node.mjs"
-      },
-      "engines": {
-        "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
-      },
-      "funding": {
-        "url": "https://opencollective.com/vitest"
-      }
-    },
     "node_modules/vite/node_modules/fsevents": {
       "version": "2.3.3",
       "resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.3.tgz",
@@ -12586,65 +12396,79 @@
       }
     },
     "node_modules/vitest": {
-      "version": "3.2.6",
-      "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.2.6.tgz",
-      "integrity": "sha512-xejya+bT/j/+R/AGa1XOfRxLmNUlLtlwjRsFUILF+xHfzElmGcmFydy2gqqIrd62ptIEfwVMofd19uNWD9L7Nw==",
+      "version": "4.1.11",
+      "resolved": "https://registry.npmjs.org/vitest/-/vitest-4.1.11.tgz",
+      "integrity": "sha512-fhACrNXUidIbGSBr5FlbuBkO7VWC1ZyLl0DO4CU2DrQoAPxX84Ysxs+HeGQpii5lZWV1Q4gBZTTu49mF+A6Edw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@types/chai": "^5.2.2",
-        "@vitest/expect": "3.2.6",
-        "@vitest/mocker": "3.2.6",
-        "@vitest/pretty-format": "^3.2.6",
-        "@vitest/runner": "3.2.6",
-        "@vitest/snapshot": "3.2.6",
-        "@vitest/spy": "3.2.6",
-        "@vitest/utils": "3.2.6",
-        "chai": "^5.2.0",
-        "debug": "^4.4.1",
-        "expect-type": "^1.2.1",
-        "magic-string": "^0.30.17",
+        "@vitest/expect": "4.1.11",
+        "@vitest/mocker": "4.1.11",
+        "@vitest/pretty-format": "4.1.11",
+        "@vitest/runner": "4.1.11",
+        "@vitest/snapshot": "4.1.11",
+        "@vitest/spy": "4.1.11",
+        "@vitest/utils": "4.1.11",
+        "es-module-lexer": "^2.0.0",
+        "expect-type": "^1.3.0",
+        "magic-string": "^0.30.21",
+        "obug": "^2.1.1",
         "pathe": "^2.0.3",
-        "picomatch": "^4.0.2",
-        "std-env": "^3.9.0",
+        "picomatch": "^4.0.3",
+        "std-env": "^4.0.0-rc.1",
         "tinybench": "^2.9.0",
-        "tinyexec": "^0.3.2",
-        "tinyglobby": "^0.2.14",
-        "tinypool": "^1.1.1",
-        "tinyrainbow": "^2.0.0",
-        "vite": "^5.0.0 || ^6.0.0 || ^7.0.0-0",
-        "vite-node": "3.2.4",
+        "tinyexec": "^1.0.2",
+        "tinyglobby": "^0.2.15",
+        "tinyrainbow": "^3.1.0",
+        "vite": "^6.0.0 || ^7.0.0 || ^8.0.0",
         "why-is-node-running": "^2.3.0"
       },
       "bin": {
         "vitest": "vitest.mjs"
       },
       "engines": {
-        "node": "^18.0.0 || ^20.0.0 || >=22.0.0"
+        "node": "^20.0.0 || ^22.0.0 || >=24.0.0"
       },
       "funding": {
         "url": "https://opencollective.com/vitest"
       },
       "peerDependencies": {
         "@edge-runtime/vm": "*",
-        "@types/debug": "^4.1.12",
-        "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
-        "@vitest/browser": "3.2.6",
-        "@vitest/ui": "3.2.6",
+        "@opentelemetry/api": "^1.9.0",
+        "@types/node": "^20.0.0 || ^22.0.0 || >=24.0.0",
+        "@vitest/browser-playwright": "4.1.11",
+        "@vitest/browser-preview": "4.1.11",
+        "@vitest/browser-webdriverio": "4.1.11",
+        "@vitest/coverage-istanbul": "4.1.11",
+        "@vitest/coverage-v8": "4.1.11",
+        "@vitest/ui": "4.1.11",
         "happy-dom": "*",
-        "jsdom": "*"
+        "jsdom": "*",
+        "vite": "^6.0.0 || ^7.0.0 || ^8.0.0"
       },
       "peerDependenciesMeta": {
         "@edge-runtime/vm": {
           "optional": true
         },
-        "@types/debug": {
+        "@opentelemetry/api": {
           "optional": true
         },
         "@types/node": {
           "optional": true
         },
-        "@vitest/browser": {
+        "@vitest/browser-playwright": {
+          "optional": true
+        },
+        "@vitest/browser-preview": {
+          "optional": true
+        },
+        "@vitest/browser-webdriverio": {
+          "optional": true
+        },
+        "@vitest/coverage-istanbul": {
+          "optional": true
+        },
+        "@vitest/coverage-v8": {
           "optional": true
         },
         "@vitest/ui": {
@@ -12655,6 +12479,9 @@
         },
         "jsdom": {
           "optional": true
+        },
+        "vite": {
+          "optional": false
         }
       }
     },
diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json
index ededdfb4606..5dd70dff4fe 100644
--- a/ui/litellm-dashboard/package.json
+++ b/ui/litellm-dashboard/package.json
@@ -40,7 +40,7 @@
     "jwt-decode": "4.0.0",
     "lucide-react": "0.513.0",
     "moment": "2.30.1",
-    "next": "16.2.11",
+    "next": "16.3.3",
     "next-themes": "^0.4.6",
     "nuqs": "^2.9.4",
     "openai": "4.104.0",
@@ -74,10 +74,10 @@
     "@types/react-copy-to-clipboard": "5.0.7",
     "@types/react-dom": "19.2.4",
     "@types/react-syntax-highlighter": "15.5.13",
-    "@vitest/coverage-v8": "3.2.6",
-    "@vitest/ui": "3.2.6",
+    "@vitest/coverage-v8": "4.1.11",
+    "@vitest/ui": "4.1.11",
     "eslint": "9.39.2",
-    "eslint-config-next": "16.2.11",
+    "eslint-config-next": "16.3.3",
     "eslint-config-prettier": "10.1.8",
     "eslint-plugin-jest-dom": "5.10.1",
     "eslint-plugin-testing-library": "7.16.2",
@@ -91,7 +91,8 @@
     "tw-animate-css": "1.4.0",
     "typescript": "5.9.3",
     "typescript-eslint": "8.60.1",
-    "vitest": "3.2.6"
+    "vite": "7.3.5",
+    "vitest": "4.1.11"
   },
   "overrides": {
     "prismjs": "1.30.0",
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/access-groups/_components/access-group-create/AccessGroupCreateDialog.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/access-groups/_components/access-group-create/AccessGroupCreateDialog.test.tsx
index 7a006efce1e..1ea7286c686 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/access-groups/_components/access-group-create/AccessGroupCreateDialog.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/access-groups/_components/access-group-create/AccessGroupCreateDialog.test.tsx
@@ -2,7 +2,7 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import { render, screen, waitFor } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
 import React from "react";
-import { describe, expect, it, vi } from "vitest";
+import { describe, expect, it, vi, type Mock } from "vitest";
 
 vi.mock("@/components/ModelSelect/ModelSelect", () => ({
   ModelSelect: ({ onChange }: { onChange: (values: string[]) => void }) => (
@@ -32,7 +32,7 @@ const Harness = ({ createAccessGroup }: { createAccessGroup: (body: unknown) =>
   );
 };
 
-const renderDialog = (overrides?: { createAccessGroup?: ReturnType<typeof vi.fn> }) => {
+const renderDialog = (overrides?: { createAccessGroup?: Mock }) => {
   const createAccessGroup = overrides?.createAccessGroup ?? vi.fn().mockResolvedValue({});
   const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } });
   render(
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroCreate.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroCreate.test.ts
index f370e4d6d6e..f0cfd2a4e30 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroCreate.test.ts
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroCreate.test.ts
@@ -1,4 +1,4 @@
-import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
+import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest";
 import { renderHook, waitFor } from "@testing-library/react";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import React, { ReactNode } from "react";
@@ -28,7 +28,7 @@ vi.mock("@/components/networking", () => ({
 
 describe("useCloudZeroCreate", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroDryRun.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroDryRun.test.ts
index b5b903ea620..5e9446be1d2 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroDryRun.test.ts
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroDryRun.test.ts
@@ -1,4 +1,4 @@
-import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
+import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest";
 import { renderHook, waitFor } from "@testing-library/react";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import React, { ReactNode } from "react";
@@ -28,7 +28,7 @@ vi.mock("@/components/networking", () => ({
 
 describe("useCloudZeroDryRun", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroExport.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroExport.test.ts
index 3c44d75dd06..20f33dfeeef 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroExport.test.ts
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroExport.test.ts
@@ -1,4 +1,4 @@
-import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
+import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest";
 import { renderHook, waitFor } from "@testing-library/react";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import React, { ReactNode } from "react";
@@ -28,7 +28,7 @@ vi.mock("@/components/networking", () => ({
 
 describe("useCloudZeroExport", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroSettings.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroSettings.test.ts
index b0c96987519..53d5b874b9e 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroSettings.test.ts
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroSettings.test.ts
@@ -1,4 +1,4 @@
-import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
+import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest";
 import { renderHook, waitFor } from "@testing-library/react";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import React, { ReactNode } from "react";
@@ -54,7 +54,7 @@ const mockCloudZeroSettings: CloudZeroSettings = {
 
 describe("useCloudZeroSettings", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
@@ -69,6 +69,7 @@ describe("useCloudZeroSettings", () => {
     });
 
     vi.clearAllMocks();
+    mockGetProxyBaseUrl.mockReset();
 
     fetchSpy = vi.fn();
     global.fetch = fetchSpy;
@@ -240,7 +241,7 @@ describe("useCloudZeroSettings", () => {
 
 describe("useCloudZeroUpdateSettings", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
@@ -255,6 +256,7 @@ describe("useCloudZeroUpdateSettings", () => {
     });
 
     vi.clearAllMocks();
+    mockGetProxyBaseUrl.mockReset();
 
     fetchSpy = vi.fn();
     global.fetch = fetchSpy;
@@ -481,7 +483,7 @@ describe("useCloudZeroUpdateSettings", () => {
 
 describe("useCloudZeroDeleteSettings", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
@@ -496,6 +498,7 @@ describe("useCloudZeroDeleteSettings", () => {
     });
 
     vi.clearAllMocks();
+    mockGetProxyBaseUrl.mockReset();
 
     fetchSpy = vi.fn();
     global.fetch = fetchSpy;
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/proxyConfig/useProxyConfig.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/proxyConfig/useProxyConfig.test.ts
index 4ba80df5c6c..822f04e6dc2 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/proxyConfig/useProxyConfig.test.ts
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/proxyConfig/useProxyConfig.test.ts
@@ -1,4 +1,4 @@
-import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
+import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest";
 import { renderHook, waitFor } from "@testing-library/react";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import React, { ReactNode } from "react";
@@ -109,7 +109,7 @@ vi.mock("../common/queryKeysFactory", () => ({
 
 describe("useProxyConfig", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
@@ -277,7 +277,7 @@ describe("useProxyConfig", () => {
 
 describe("useDeleteProxyConfigField", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
@@ -452,7 +452,7 @@ describe("useDeleteProxyConfigField", () => {
 });
 
 describe("getProxyConfigCall", () => {
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
   let consoleErrorSpy: ReturnType<typeof vi.spyOn>;
 
   beforeEach(() => {
@@ -508,7 +508,7 @@ describe("getProxyConfigCall", () => {
 });
 
 describe("deleteProxyConfigFieldCall", () => {
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
   let consoleErrorSpy: ReturnType<typeof vi.spyOn>;
 
   beforeEach(() => {
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/storeModelInDB/useStoreModelInDB.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/storeModelInDB/useStoreModelInDB.test.ts
index dd69e8c8791..696383b04c8 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/storeModelInDB/useStoreModelInDB.test.ts
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/storeModelInDB/useStoreModelInDB.test.ts
@@ -1,4 +1,4 @@
-import { describe, it, expect, vi, beforeEach, afterEach } from "vitest";
+import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest";
 import { renderHook, waitFor } from "@testing-library/react";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import React, { ReactNode } from "react";
@@ -11,7 +11,7 @@ vi.mock("@/components/networking", () => ({
 
 describe("useStoreModelInDB", () => {
   let queryClient: QueryClient;
-  let fetchSpy: ReturnType<typeof vi.fn>;
+  let fetchSpy: Mock;
 
   beforeEach(() => {
     queryClient = new QueryClient({
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/mcp-servers/_components/ToolTestPanel.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/mcp-servers/_components/ToolTestPanel.test.tsx
index 81c55e7982a..43e0b1ddd1f 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/mcp-servers/_components/ToolTestPanel.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/mcp-servers/_components/ToolTestPanel.test.tsx
@@ -2,7 +2,7 @@ import React from "react";
 import { fireEvent, render, screen } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
 import type { UserEvent } from "@testing-library/user-event";
-import { describe, expect, it, vi } from "vitest";
+import { describe, expect, it, vi, type Mock } from "vitest";
 
 import { ToolTestPanel } from "./ToolTestPanel";
 import { InputSchema, MCPTool } from "@/components/mcp_tools/types";
@@ -341,7 +341,7 @@ describe("ToolTestPanel argument payload", () => {
 });
 
 describe("ToolTestPanel schema changes under a stable tool name", () => {
-  const renderWith = (schema: InputSchema, onSubmit: ReturnType<typeof vi.fn>) => (
+  const renderWith = (schema: InputSchema, onSubmit: Mock) => (
     <ToolTestPanel
       tool={buildTool(schema)}
       onSubmit={onSubmit}
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/users/_components/default-user-settings/DefaultUserSettingsForm.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/users/_components/default-user-settings/DefaultUserSettingsForm.test.tsx
index 15ab243b868..a10e70dcb87 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/users/_components/default-user-settings/DefaultUserSettingsForm.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/users/_components/default-user-settings/DefaultUserSettingsForm.test.tsx
@@ -2,7 +2,7 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import { render, screen, waitFor } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
 import React from "react";
-import { beforeEach, describe, expect, it, vi } from "vitest";
+import { beforeEach, describe, expect, it, vi, type Mock } from "vitest";
 
 vi.mock("@/app/(dashboard)/hooks/teams/useTeams", () => ({
   useInfiniteTeams: () => ({
@@ -65,10 +65,7 @@ const SAVED_BODY = {
   teams: [{ team_id: "team-alpha", max_budget_in_team: 25, user_role: "user" }],
 };
 
-const renderForm = (overrides?: {
-  fetchSettings?: ReturnType<typeof vi.fn>;
-  updateSettings?: ReturnType<typeof vi.fn>;
-}) => {
+const renderForm = (overrides?: { fetchSettings?: Mock; updateSettings?: Mock }) => {
   const fetchSettings = overrides?.fetchSettings ?? vi.fn().mockResolvedValue(SETTINGS);
   const updateSettings = overrides?.updateSettings ?? vi.fn().mockResolvedValue(undefined);
   const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } });
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/users/_components/view_users/UsersTable.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/users/_components/view_users/UsersTable.test.tsx
index 860b1c35cfd..16911946d34 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/users/_components/view_users/UsersTable.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/users/_components/view_users/UsersTable.test.tsx
@@ -3,7 +3,7 @@ import type { PaginationState, RowSelectionState, SortingState } from "@tanstack
 import { render, screen, within } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
 import { useState } from "react";
-import { describe, expect, it, vi } from "vitest";
+import { describe, expect, it, vi, type Mock } from "vitest";
 
 import { UserInfo } from "@/components/networking";
 
@@ -39,7 +39,7 @@ interface HarnessOverrides {
   onUserClick?: (userId: string, openInEditMode?: boolean) => void;
   onDeleteUser?: (user: UserInfo) => void;
   onResetPassword?: (userId: string) => void;
-  onSortingChange?: ReturnType<typeof vi.fn>;
+  onSortingChange?: Mock;
 }
 
 /**
diff --git a/ui/litellm-dashboard/src/components/add_model/ClassifierPromptEditor.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/ClassifierPromptEditor.integration.test.tsx
index 22720a01a6c..667ee8d6d43 100644
--- a/ui/litellm-dashboard/src/components/add_model/ClassifierPromptEditor.integration.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ClassifierPromptEditor.integration.test.tsx
@@ -1,6 +1,6 @@
 import { fireEvent, renderWithProviders, screen } from "../../../tests/test-utils";
 import userEvent from "@testing-library/user-event";
-import { vi } from "vitest";
+import { vi, type Mock } from "vitest";
 import ClassifierPromptEditor from "./ClassifierPromptEditor";
 import { ClassificationRubric } from "./ComplexityRouterConfig";
 vi.mock(
@@ -26,7 +26,7 @@ beforeEach(() => {
 
 interface OpenEditorOptions {
   systemPrompt?: string;
-  onChange?: ReturnType<typeof vi.fn>;
+  onChange?: Mock;
   contextWindowSize?: number;
   tierLabels?: Record<string, string>;
   classificationRubric?: ClassificationRubric;
diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
index 0c12cc0ba1a..f9a6321dac9 100644
--- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx
@@ -1,7 +1,7 @@
 import { fireEvent, renderWithProviders, screen, within } from "../../../tests/test-utils";
 import userEvent from "@testing-library/user-event";
 import React from "react";
-import { vi } from "vitest";
+import { vi, type Mock } from "vitest";
 import ComplexityRouterConfig, { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
 vi.mock(
   "@/app/(dashboard)/hooks/autoRouter/useComplexityScorerDefaults",
@@ -1701,7 +1701,7 @@ describe("classifier vision settings", () => {
     classifier_llm_config: { model: "gpt-3.5-turbo", timeout_ms: 3000 },
   };
 
-  const VisionFixture = ({ onChange = vi.fn() }: { onChange?: ReturnType<typeof vi.fn> }) => {
+  const VisionFixture = ({ onChange = vi.fn() }: { onChange?: Mock }) => {
     const [value, setValue] = React.useState(llmValue);
     return (
       <ComplexityRouterConfig
diff --git a/ui/litellm-dashboard/src/components/organization/org-create/OrgCreateDialog.test.tsx b/ui/litellm-dashboard/src/components/organization/org-create/OrgCreateDialog.test.tsx
index 3ffb11fb90d..22b9dd26732 100644
--- a/ui/litellm-dashboard/src/components/organization/org-create/OrgCreateDialog.test.tsx
+++ b/ui/litellm-dashboard/src/components/organization/org-create/OrgCreateDialog.test.tsx
@@ -2,7 +2,7 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import { render, screen, waitFor } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
 import React from "react";
-import { describe, expect, it, vi } from "vitest";
+import { describe, expect, it, vi, type Mock } from "vitest";
 
 vi.mock("@/components/ModelSelect/ModelSelect", () => ({
   ModelSelect: ({ onChange }: { onChange: (values: string[]) => void }) => (
@@ -46,7 +46,7 @@ const Harness = ({ createOrganization }: { createOrganization: (body: unknown) =
   );
 };
 
-const renderDialog = (overrides?: { createOrganization?: ReturnType<typeof vi.fn> }) => {
+const renderDialog = (overrides?: { createOrganization?: Mock }) => {
   const createOrganization = overrides?.createOrganization ?? vi.fn().mockResolvedValue({});
   const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } });
   render(
diff --git a/ui/litellm-dashboard/src/components/organization/org-settings/OrgSettingsForm.test.tsx b/ui/litellm-dashboard/src/components/organization/org-settings/OrgSettingsForm.test.tsx
index 5633424902d..5eaeed7b531 100644
--- a/ui/litellm-dashboard/src/components/organization/org-settings/OrgSettingsForm.test.tsx
+++ b/ui/litellm-dashboard/src/components/organization/org-settings/OrgSettingsForm.test.tsx
@@ -2,7 +2,7 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import { fireEvent, render, screen, waitFor } from "@testing-library/react";
 import userEvent from "@testing-library/user-event";
 import React from "react";
-import { describe, expect, it, vi } from "vitest";
+import { describe, expect, it, vi, type Mock } from "vitest";
 
 vi.mock("@/components/ModelSelect/ModelSelect", () => ({
   ModelSelect: ({ onChange }: { onChange: (values: string[]) => void }) => (
@@ -67,11 +67,7 @@ const org: Organization = {
   },
 };
 
-const renderForm = (overrides?: {
-  patchOrganization?: ReturnType<typeof vi.fn>;
-  onSaved?: () => void;
-  org?: Organization;
-}) => {
+const renderForm = (overrides?: { patchOrganization?: Mock; onSaved?: () => void; org?: Organization }) => {
   const patchOrganization = overrides?.patchOrganization ?? vi.fn().mockResolvedValue({});
   const onSaved = overrides?.onSaved ?? vi.fn();
   const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } });

From 64afa9d6eca8d238da02458a2769294eff93d08d Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 15:36:34 -0700
Subject: [PATCH 141/223] test: isolate auto-router scenarios and clean partial
 setup

---
 .../test_auto_router_regressions_e2e.py       | 239 +++++++++---------
 1 file changed, 120 insertions(+), 119 deletions(-)

diff --git a/tests/e2e/router/test_auto_router_regressions_e2e.py b/tests/e2e/router/test_auto_router_regressions_e2e.py
index 188db2a8eb5..374badcf5fc 100644
--- a/tests/e2e/router/test_auto_router_regressions_e2e.py
+++ b/tests/e2e/router/test_auto_router_regressions_e2e.py
@@ -41,6 +41,7 @@ which stores either the registered alias or the provider-prefixed form.
 import json
 import os
 from collections.abc import Iterator
+from contextlib import ExitStack
 from dataclasses import dataclass
 from typing import Final
 
@@ -120,19 +121,10 @@ class ResponsesApiResponse(BaseModel):
 
 
 @dataclass(frozen=True, slots=True)
-class TagSplitDeployments:
-    """Scenario A mirrors the customer-shaped config from GitHub issue #36619:
-    plain deployment registered first, tier deployment and marker both tagged.
-    Scenario B flips both axes for GitHub issue #36621: marker registered first
-    and its tier deployment left untagged, so routing depends neither on
-    registration order nor on tier deployments carrying tags."""
-
-    tag_a: str
-    shared_a: str
-    tier_a: str
-    tag_b: str
-    shared_b: str
-    tier_b: str
+class TagSplitDeployment:
+    tag: str
+    shared: str
+    tier: str
 
 
 @dataclass(frozen=True, slots=True)
@@ -173,9 +165,7 @@ def _uniform_tier_config(tier_model: str) -> dict[str, object]:
     }
 
 
-def _key_for(
-    proxy: ProxyClient, resources: ResourceManager, models: list[str], tag_filtering: bool = False
-) -> str:
+def _key_for(proxy: ProxyClient, resources: ResourceManager, models: list[str], tag_filtering: bool = False) -> str:
     key: Final = proxy.generate_key(
         KeyGenerateBody(
             models=models,
@@ -211,46 +201,61 @@ def _assert_served_only_by(rows: list[SpendLogRow], allowed: frozenset[str], con
     )
 
 
-@pytest.fixture(scope="module")
-def split(proxy: ProxyClient) -> Iterator[TagSplitDeployments]:
+@pytest.fixture(scope="class")
+def router_stack() -> Iterator[ExitStack]:
+    with ExitStack() as stack:
+        yield stack
+
+
+def _register_models(
+    proxy: ProxyClient, stack: ExitStack, registrations: tuple[tuple[str, LiteLLMParamsBody], ...]
+) -> None:
+    for name, params in registrations:
+        stack.callback(proxy.delete_model, proxy.create_model(name, params))
+
+
+def _tag_split(proxy: ProxyClient, stack: ExitStack, *, marker_first: bool) -> TagSplitDeployment:
     marker: Final = unique_marker()
-    deployments: Final = TagSplitDeployments(
-        tag_a=f"e2e-split-a-{marker}",
-        shared_a=f"e2e-autoroute-a-{marker}",
-        tier_a=f"e2e-tier-a-{marker}",
-        tag_b=f"e2e-split-b-{marker}",
-        shared_b=f"e2e-autoroute-b-{marker}",
-        tier_b=f"e2e-tier-b-{marker}",
+    named: Final = TagSplitDeployment(
+        tag=f"e2e-split-{marker}",
+        shared=f"e2e-autoroute-{marker}",
+        tier=f"e2e-tier-{marker}",
     )
     anthropic_key: Final = _provider_key("ANTHROPIC_API_KEY")
-    marker_params_a: Final = LiteLLMParamsBody(
-        model="auto_router/complexity_router",
-        complexity_router_config=_uniform_tier_config(deployments.tier_a),
-        tags=[deployments.tag_a],
+    marker_registration: Final = (
+        named.shared,
+        LiteLLMParamsBody(
+            model="auto_router/complexity_router",
+            complexity_router_config=_uniform_tier_config(named.tier),
+            tags=[named.tag],
+        ),
     )
-    marker_params_b: Final = LiteLLMParamsBody(
-        model="auto_router/complexity_router",
-        complexity_router_config=_uniform_tier_config(deployments.tier_b),
-        tags=[deployments.tag_b],
+    tier_registration: Final = (
+        named.tier,
+        LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key, tags=None if marker_first else [named.tag]),
     )
-    registrations: Final[tuple[tuple[str, LiteLLMParamsBody], ...]] = (
-        (deployments.shared_a, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key)),
-        (deployments.tier_a, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key, tags=[deployments.tag_a])),
-        (deployments.shared_a, marker_params_a),
-        (deployments.shared_b, marker_params_b),
-        (deployments.tier_b, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key)),
-        (deployments.shared_b, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key)),
+    plain_registration: Final = (named.shared, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key))
+    registrations: Final = (
+        (marker_registration, tier_registration, plain_registration)
+        if marker_first
+        else (plain_registration, tier_registration, marker_registration)
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield deployments
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, stack, registrations)
+    return named
 
 
-@pytest.fixture(scope="module")
-def zero_priced_alias(proxy: ProxyClient) -> Iterator[ZeroPricedAlias]:
+@pytest.fixture(scope="class")
+def plain_first_split(proxy: ProxyClient, router_stack: ExitStack) -> TagSplitDeployment:
+    return _tag_split(proxy, router_stack, marker_first=False)
+
+
+@pytest.fixture(scope="class")
+def marker_first_split(proxy: ProxyClient, router_stack: ExitStack) -> TagSplitDeployment:
+    return _tag_split(proxy, router_stack, marker_first=True)
+
+
+@pytest.fixture(scope="class")
+def zero_priced_alias(proxy: ProxyClient, router_stack: ExitStack) -> ZeroPricedAlias:
     marker: Final = unique_marker()
     named: Final = ZeroPricedAlias(alias=f"e2e-priced-alias-{marker}", tier=f"e2e-priced-tier-{marker}")
     alias_params: Final = LiteLLMParamsBody(
@@ -263,16 +268,12 @@ def zero_priced_alias(proxy: ProxyClient) -> Iterator[ZeroPricedAlias]:
         (named.tier, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))),
         (named.alias, alias_params),
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield named
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, router_stack, registrations)
+    return named
 
 
-@pytest.fixture(scope="module")
-def heuristic_split(proxy: ProxyClient) -> Iterator[HeuristicSplit]:
+@pytest.fixture(scope="class")
+def heuristic_split(proxy: ProxyClient, router_stack: ExitStack) -> HeuristicSplit:
     marker: Final = unique_marker()
     named: Final = HeuristicSplit(
         alias=f"e2e-heuristic-router-{marker}",
@@ -289,16 +290,12 @@ def heuristic_split(proxy: ProxyClient) -> Iterator[HeuristicSplit]:
         (named.strong, LiteLLMParamsBody(model=STRONG_MODEL, api_key=_provider_key("OPENAI_API_KEY"))),
         (named.alias, LiteLLMParamsBody(model="auto_router/complexity_router", complexity_router_config=config)),
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield named
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, router_stack, registrations)
+    return named
 
 
-@pytest.fixture(scope="module")
-def semantic_auto_router(proxy: ProxyClient) -> Iterator[SemanticAutoRouter]:
+@pytest.fixture(scope="class")
+def semantic_auto_router(proxy: ProxyClient, router_stack: ExitStack) -> SemanticAutoRouter:
     marker: Final = unique_marker()
     named: Final = SemanticAutoRouter(
         marker=f"e2e-semantic-router-{marker}",
@@ -321,16 +318,12 @@ def semantic_auto_router(proxy: ProxyClient) -> Iterator[SemanticAutoRouter]:
         (named.fallback, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))),
         (named.marker, marker_params),
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield named
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, router_stack, registrations)
+    return named
 
 
-@pytest.fixture(scope="module")
-def credentialed_alias(proxy: ProxyClient) -> Iterator[CredentialedAlias]:
+@pytest.fixture(scope="class")
+def credentialed_alias(proxy: ProxyClient, router_stack: ExitStack) -> CredentialedAlias:
     marker: Final = unique_marker()
     named: Final = CredentialedAlias(alias=f"e2e-cred-alias-{marker}", tier=f"e2e-cred-tier-{marker}")
     alias_params: Final = LiteLLMParamsBody(
@@ -342,104 +335,110 @@ def credentialed_alias(proxy: ProxyClient) -> Iterator[CredentialedAlias]:
         (named.tier, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))),
         (named.alias, alias_params),
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield named
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, router_stack, registrations)
+    return named
 
 
 class TestTagSplitRouting:
     @pytest.mark.covers("reliability.routing.tagged_marker.request_tag_selects_marker")
     def test_body_tagged_chat_routes_through_the_marker_to_its_tier(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins GitHub issue #36619: with tag filtering on, a chat request whose
         body metadata tags match the tagged marker under a shared model name is
         answered by the marker's tier deployment, not by the plain deployment
         that was registered under the name first."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
-        chat: Final = unwrap(proxy.chat(key, _hello_chat_body(split.shared_a, tags=[split.tag_a])))
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
+        chat: Final = unwrap(proxy.chat(key, _hello_chat_body(plain_first_split.shared, tags=[plain_first_split.tag])))
         assert chat.choices, "tagged chat through the shared name returned no choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "body-tagged chat on the shared name")
+        _assert_served_only_by(rows, CHEAP_SERVED | {plain_first_split.tier}, "body-tagged chat on the shared name")
 
     @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment")
     def test_untagged_chat_is_always_served_by_the_plain_deployment(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins GitHub issue #36620: untagged chat requests to the shared name
         succeed on every call and are all served by the plain deployment; the
         tagged marker never captures them, so no intermittent auto-router
         errors and no tier hijacking."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
         for _ in range(5):
-            chat = unwrap(proxy.chat(key, _hello_chat_body(split.shared_a)))
+            chat = unwrap(proxy.chat(key, _hello_chat_body(plain_first_split.shared)))
             assert chat.choices, "untagged chat through the shared name returned no choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=5)
-        _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged chat on the shared name")
+        _assert_served_only_by(rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged chat on the shared name")
 
     @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment")
     def test_untagged_messages_is_served_by_the_plain_deployment(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins GitHub issue #36620 on the /v1/messages surface: an untagged
         Anthropic-native request to the shared name is served by the plain
         deployment, not captured by the tagged marker."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
-        answer: Final = unwrap(proxy.messages(key, _hello_messages_body(split.shared_a)))
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
+        answer: Final = unwrap(proxy.messages(key, _hello_messages_body(plain_first_split.shared)))
         assert answer.content or answer.choices, "untagged /v1/messages returned neither content nor choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged /v1/messages on the shared name")
+        _assert_served_only_by(
+            rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged /v1/messages on the shared name"
+        )
 
 
 class TestUntaggedTierDeployments:
     @pytest.mark.covers("reliability.routing.tagged_marker.header_tag_selects_marker")
     def test_header_tagged_messages_routes_through_the_marker_to_an_untagged_tier(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment
     ) -> None:
         """Pins GitHub issue #36621: a /v1/messages request tagged only via the
         x-litellm-tags header selects the tagged marker, and the rewrite still
         lands on the tier deployment even though that deployment carries no
         tags, because the marker consumed the routing tags."""
-        key: Final = _key_for(proxy, resources, [split.shared_b, split.tier_b], tag_filtering=True)
-        headers: Final = TaggedAnthropicHeaders(authorization=f"Bearer {key}", x_litellm_tags=split.tag_b)
+        key: Final = _key_for(
+            proxy, resources, [marker_first_split.shared, marker_first_split.tier], tag_filtering=True
+        )
+        headers: Final = TaggedAnthropicHeaders(authorization=f"Bearer {key}", x_litellm_tags=marker_first_split.tag)
         answer: Final = unwrap(
             proxy.transport.post(
                 "/v1/messages",
                 headers=headers,
-                json=_hello_messages_body(split.shared_b),
+                json=_hello_messages_body(marker_first_split.shared),
                 response_type=AnthropicMessagesResponse,
             )
         )
         assert answer.content or answer.choices, "header-tagged /v1/messages returned neither content nor choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_b}, "header-tagged /v1/messages on the shared name")
+        _assert_served_only_by(
+            rows, CHEAP_SERVED | {marker_first_split.tier}, "header-tagged /v1/messages on the shared name"
+        )
 
     @pytest.mark.covers("reliability.routing.tagged_marker.untagged_tier_deployments_still_served")
     def test_body_tagged_chat_reaches_the_untagged_tier_after_marker_rewrite(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment
     ) -> None:
         """Pins the tag-consumption half of GitHub issue #36621: after the
         tagged marker rewrites the request to its tier model, the consumed
         routing tags no longer constrain deployment selection, so the untagged
         tier deployment serves the request instead of a strict-tag denial."""
-        key: Final = _key_for(proxy, resources, [split.shared_b, split.tier_b], tag_filtering=True)
-        chat: Final = unwrap(proxy.chat(key, _hello_chat_body(split.shared_b, tags=[split.tag_b])))
+        key: Final = _key_for(
+            proxy, resources, [marker_first_split.shared, marker_first_split.tier], tag_filtering=True
+        )
+        chat: Final = unwrap(
+            proxy.chat(key, _hello_chat_body(marker_first_split.shared, tags=[marker_first_split.tag]))
+        )
         assert chat.choices, "body-tagged chat through the marker-first shared name returned no choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_b}, "body-tagged chat with untagged tier")
+        _assert_served_only_by(rows, CHEAP_SERVED | {marker_first_split.tier}, "body-tagged chat with untagged tier")
 
     @pytest.mark.covers("reliability.routing.tagged_marker.tag_semantics_stay_strict")
     def test_tagged_call_straight_at_an_untagged_deployment_stays_denied(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment
     ) -> None:
         """The tag-consumption fix must not loosen strict tag semantics: a
         tagged request aimed directly at an untagged deployment (no marker
         involved) is still rejected with the 401 tags-configuration error."""
-        key: Final = _key_for(proxy, resources, [split.tier_b], tag_filtering=True)
-        result: Final = proxy.chat(key, _hello_chat_body(split.tier_b, tags=[split.tag_b]))
+        key: Final = _key_for(proxy, resources, [marker_first_split.tier], tag_filtering=True)
+        result: Final = proxy.chat(key, _hello_chat_body(marker_first_split.tier, tags=[marker_first_split.tag]))
         assert isinstance(result, UnauthorizedError), (
             f"expected the tagged direct call to an untagged deployment to be denied with 401, got {result}"
         )
@@ -451,37 +450,39 @@ class TestUntaggedTierDeployments:
 class TestResponsesApiTagRouting:
     @pytest.mark.covers("reliability.routing.tagged_marker.responses_input_routes_through_marker")
     def test_header_tagged_responses_with_string_input_routes_to_the_tier(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins the /v1/responses surface of the tag split (GitHub issues
         #36620/#36621): a /v1/responses request with string input, tagged via
         the x-litellm-tags header, succeeds and routes through the tagged
         marker to its tier."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
-        headers: Final = TaggedAuthHeaders(authorization=f"Bearer {key}", x_litellm_tags=split.tag_a)
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
+        headers: Final = TaggedAuthHeaders(authorization=f"Bearer {key}", x_litellm_tags=plain_first_split.tag)
         body: Final = ResponsesBody(
-            model=split.shared_a, input=f"say hello {unique_marker()}", max_output_tokens=64
+            model=plain_first_split.shared, input=f"say hello {unique_marker()}", max_output_tokens=64
         )
         answer: Final = unwrap(
             proxy.transport.post("/v1/responses", headers=headers, json=body, response_type=ResponsesApiResponse)
         )
         assert answer.id, "header-tagged /v1/responses returned no response id"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "header-tagged /v1/responses string input")
+        _assert_served_only_by(
+            rows, CHEAP_SERVED | {plain_first_split.tier}, "header-tagged /v1/responses string input"
+        )
 
     @pytest.mark.covers("reliability.routing.tagged_marker.responses_input_routes_through_marker")
     def test_body_tagged_responses_with_list_input_routes_to_the_tier(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins the body-tag and list-input combination of the same split:
         /v1/responses with litellm_metadata.tags and structured input items
         routes through the tagged marker to its tier."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
         body: Final = ResponsesBody(
-            model=split.shared_a,
+            model=plain_first_split.shared,
             input=[ResponsesInputItem(role="user", content=f"say hello {unique_marker()}")],
             max_output_tokens=64,
-            litellm_metadata=ResponsesTagMetadata(tags=[split.tag_a]),
+            litellm_metadata=ResponsesTagMetadata(tags=[plain_first_split.tag]),
         )
         answer: Final = unwrap(
             proxy.transport.post(
@@ -493,18 +494,18 @@ class TestResponsesApiTagRouting:
         )
         assert answer.id, "body-tagged /v1/responses returned no response id"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "body-tagged /v1/responses list input")
+        _assert_served_only_by(rows, CHEAP_SERVED | {plain_first_split.tier}, "body-tagged /v1/responses list input")
 
     @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment")
     def test_untagged_responses_is_served_by_the_plain_deployment(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins the untagged half of the /v1/responses tag split: an untagged
         request to the shared name is served by the plain deployment, matching
         the chat and messages surfaces."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
         body: Final = ResponsesBody(
-            model=split.shared_a, input=f"say hello {unique_marker()}", max_output_tokens=64
+            model=plain_first_split.shared, input=f"say hello {unique_marker()}", max_output_tokens=64
         )
         answer: Final = unwrap(
             proxy.transport.post(
@@ -516,7 +517,9 @@ class TestResponsesApiTagRouting:
         )
         assert answer.id, "untagged /v1/responses returned no response id"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged /v1/responses on the shared name")
+        _assert_served_only_by(
+            rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged /v1/responses on the shared name"
+        )
 
 
 class TestStrategyAliasPricing:
@@ -551,9 +554,7 @@ class TestComplexityHeuristicScope:
         while the accompanying ~2KB agent system prompt is packed with enough
         reasoning and complexity keywords that scoring the combined text lands
         in REASONING; only ask-only scoring keeps this on the cheap tier."""
-        key: Final = _key_for(
-            proxy, resources, [heuristic_split.alias, heuristic_split.cheap, heuristic_split.strong]
-        )
+        key: Final = _key_for(proxy, resources, [heuristic_split.alias, heuristic_split.cheap, heuristic_split.strong])
         body: Final = ChatBody(
             model=heuristic_split.alias,
             messages=[

From 183d05ae052799c5d19ad597f2747ee333827182 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:45:32 -0700
Subject: [PATCH 142/223] feat(otel): add http/json export protocol for OTel v2
 traces (#40290)

* feat(otel): add http/json export protocol for OTel v2 traces

OTEL_EXPORTER_OTLP_PROTOCOL=http/json was accepted but routed to the protobuf
OTLP/HTTP exporter, so collectors that only decode JSON rejected every batch.
Route it to an OTLP/JSON span exporter that reuses the SDK HTTP transport and
expose the protocol as a select field on the OpenTelemetry callback in the
admin UI.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(otel): walk the fixed OTLP shape instead of recursing when hex-encoding ids

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(ui): map stored callback variables onto their form fields when editing a callback

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/integrations/callback_configs.json    |   7 ++
 litellm/integrations/otel/model/config.py     |   2 +-
 .../integrations/otel/plumbing/otlp_json.py   |  70 ++++++++++++
 .../integrations/otel/plumbing/providers.py   |  10 +-
 litellm/proxy/_types.py                       |   1 +
 .../otel/test_otel_v2_components.py           | 104 +++++++++++++++++-
 .../src/components/callback_info_helpers.tsx  |   1 +
 .../src/components/settings.test.tsx          |  83 ++++++++++++++
 .../src/components/settings.tsx               |  84 +++++++++-----
 9 files changed, 334 insertions(+), 28 deletions(-)
 create mode 100644 litellm/integrations/otel/plumbing/otlp_json.py

diff --git a/litellm/integrations/callback_configs.json b/litellm/integrations/callback_configs.json
index b98eef8329b..c40b90cee25 100644
--- a/litellm/integrations/callback_configs.json
+++ b/litellm/integrations/callback_configs.json
@@ -367,6 +367,13 @@
         "ui_name": "Headers",
         "description": "Headers for OTEL exporter (e.g., x-honeycomb-team=YOUR_API_KEY)",
         "required": false
+      },
+      "otel_exporter_otlp_protocol": {
+        "type": "select",
+        "ui_name": "Export Protocol",
+        "description": "OTLP wire format for trace exports. Use http/json for collectors that cannot decode protobuf",
+        "options": ["http/protobuf", "http/json"],
+        "required": false
       }
     },
     "description": "OpenTelemetry Logging Integration"
diff --git a/litellm/integrations/otel/model/config.py b/litellm/integrations/otel/model/config.py
index e3501d0ee94..422c8409411 100644
--- a/litellm/integrations/otel/model/config.py
+++ b/litellm/integrations/otel/model/config.py
@@ -69,7 +69,7 @@ class ExporterSpec(BaseModel):
 
     kind: str = Field(
         default="console",
-        description="console | in_memory | otlp_http | otlp_grpc | <factory kind>",
+        description="console | in_memory | otlp_http | http/json | otlp_grpc | <factory kind>",
     )
     endpoint: str | None = None
     traces_endpoint: str | None = Field(
diff --git a/litellm/integrations/otel/plumbing/otlp_json.py b/litellm/integrations/otel/plumbing/otlp_json.py
new file mode 100644
index 00000000000..b4b659f1e01
--- /dev/null
+++ b/litellm/integrations/otel/plumbing/otlp_json.py
@@ -0,0 +1,70 @@
+"""OTLP/HTTP span exporter that sends the OTLP/JSON encoding instead of protobuf.
+
+The SDK only ships a protobuf OTLP/HTTP exporter; this reuses its transport and
+retry loop and swaps the payload for OTLP/JSON (enums as integers, ids as hex).
+"""
+
+import base64
+import json
+from collections.abc import Mapping, Sequence
+from types import MappingProxyType
+from typing import Final, TypeAlias
+
+from google.protobuf.json_format import MessageToDict
+from opentelemetry.exporter.otlp.proto.common.trace_encoder import encode_spans
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
+from opentelemetry.sdk.trace import ReadableSpan
+
+JSON_CONTENT_TYPE: Final = "application/json"
+_HEX_ID_KEYS: Final = frozenset({"traceId", "spanId", "parentSpanId"})
+
+_JsonValue: TypeAlias = "Mapping[str, _JsonValue] | Sequence[_JsonValue] | str | int | float | bool | None"
+_JsonObject: TypeAlias = Mapping[str, "_JsonValue"]
+
+
+def _objects(node: _JsonObject, key: str) -> tuple[_JsonObject, ...]:
+    items: Final = node.get(key)
+    if isinstance(items, str) or not isinstance(items, Sequence):
+        return ()
+    return tuple(item for item in items if isinstance(item, Mapping))
+
+
+def _hex_ids(node: _JsonObject) -> _JsonObject:
+    return MappingProxyType(
+        {
+            key: base64.b64decode(item).hex() if key in _HEX_ID_KEYS and isinstance(item, str) else item
+            for key, item in node.items()
+        }
+    )
+
+
+def _hex_span(span: _JsonObject) -> _JsonObject:
+    links: Final = _objects(span, "links")
+    if not links:
+        return _hex_ids(span)
+    return MappingProxyType({**_hex_ids(span), "links": tuple(_hex_ids(link) for link in links)})
+
+
+def _hex_scope_spans(scope: _JsonObject) -> _JsonObject:
+    return MappingProxyType({**scope, "spans": tuple(_hex_span(span) for span in _objects(scope, "spans"))})
+
+
+def _hex_resource_spans(resource: _JsonObject) -> _JsonObject:
+    scope_spans: Final = tuple(_hex_scope_spans(scope) for scope in _objects(resource, "scopeSpans"))
+    return MappingProxyType({**resource, "scopeSpans": scope_spans})
+
+
+def encode_spans_json(spans: Sequence[ReadableSpan]) -> bytes:
+    payload: Final[_JsonObject] = MessageToDict(encode_spans(spans), use_integers_for_enums=True)
+    resource_spans: Final = tuple(_hex_resource_spans(resource) for resource in _objects(payload, "resourceSpans"))
+    hexed: Final[_JsonObject] = MappingProxyType({**payload, "resourceSpans": resource_spans})
+    return json.dumps(hexed, default=dict, separators=(",", ":")).encode()
+
+
+class OTLPJsonSpanExporter(OTLPSpanExporter):
+    def __init__(self, endpoint: str | None, headers: dict[str, str]) -> None:  # mutable-ok: SDK __init__ takes Dict
+        super().__init__(endpoint=endpoint, headers=headers)
+        self._session.headers["Content-Type"] = JSON_CONTENT_TYPE
+
+    def _serialize_spans(self, spans: Sequence[ReadableSpan]) -> bytes:
+        return encode_spans_json(spans)
diff --git a/litellm/integrations/otel/plumbing/providers.py b/litellm/integrations/otel/plumbing/providers.py
index d8da53017ab..90e68b7c2ee 100644
--- a/litellm/integrations/otel/plumbing/providers.py
+++ b/litellm/integrations/otel/plumbing/providers.py
@@ -136,7 +136,8 @@ def parse_headers(raw: str | None) -> dict[str, str]:
 
 
 _IN_MEMORY_KINDS: Final = ("in_memory", "inmemory", "memory")
-_OTLP_HTTP_KINDS: Final = ("otlp_http", "http", "http/protobuf", "http/json")
+_OTLP_HTTP_JSON_KINDS: Final = ("http/json",)
+_OTLP_HTTP_KINDS: Final = ("otlp_http", "http", "http/protobuf", *_OTLP_HTTP_JSON_KINDS)
 _OTLP_GRPC_KINDS: Final = ("otlp_grpc", "grpc")
 
 
@@ -164,6 +165,13 @@ def _exporter_from_spec(spec: ExporterSpec) -> SpanExporter:
         return factory(spec)
     if kind in _IN_MEMORY_KINDS:
         return InMemorySpanExporter()
+    if kind in _OTLP_HTTP_JSON_KINDS:
+        from litellm.integrations.otel.plumbing.otlp_json import OTLPJsonSpanExporter
+
+        return OTLPJsonSpanExporter(
+            endpoint=spec.traces_endpoint or _otlp_traces_endpoint(spec.endpoint),
+            headers=parse_headers(spec.headers),
+        )
     if kind in _OTLP_HTTP_KINDS:
         from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
             OTLPSpanExporter as HTTPExporter,
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index d1b391d57a3..50b87264f3f 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -3584,6 +3584,7 @@ class AllCallbacks(LiteLLMPydanticObjectBase):
         ui_callback_name="OpenTelemetry",
         litellm_callback_params=[
             "OTEL_EXPORTER",
+            "OTEL_EXPORTER_OTLP_PROTOCOL",
             "OTEL_ENDPOINT",
             "OTEL_TRACES_ENDPOINT",
             "OTEL_HEADERS",
diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_components.py b/tests/test_litellm/integrations/otel/test_otel_v2_components.py
index 6676714d7f5..ae41c74944d 100644
--- a/tests/test_litellm/integrations/otel/test_otel_v2_components.py
+++ b/tests/test_litellm/integrations/otel/test_otel_v2_components.py
@@ -6,14 +6,18 @@ import json
 import threading
 from collections.abc import Iterator
 from dataclasses import replace
-from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+from http.server import BaseHTTPRequestHandler, HTTPServer, ThreadingHTTPServer
 
 import pytest
 
 pytest.importorskip("opentelemetry")
 
+from opentelemetry.proto.collector.trace.v1.trace_service_pb2 import (  # noqa: E402
+    ExportTraceServiceRequest,
+)
 from opentelemetry.sdk.metrics import MeterProvider  # noqa: E402
 from opentelemetry.sdk.metrics.export import InMemoryMetricReader  # noqa: E402
+from opentelemetry.sdk.trace import TracerProvider  # noqa: E402
 from opentelemetry.sdk.trace.export import (  # noqa: E402
     BatchSpanProcessor,
     ConsoleSpanExporter,
@@ -541,6 +545,89 @@ def test_build_span_exporter_variants():
     assert "OTLPSpanExporter" in type(http_exporter).__name__
 
 
+def _export_one_trace_to_local_collector(exporter_kind: str) -> tuple[list[dict], tuple[int, int, int]]:
+    """Run a parent/child trace through the configured exporter against a
+    throwaway HTTP collector. Returns the requests as the collector saw them
+    (child first, since it ends first) and (trace_id, parent span_id, child span_id)."""
+    received: list[dict] = []
+
+    class Collector(BaseHTTPRequestHandler):
+        def do_POST(self):
+            body = self.rfile.read(int(self.headers["Content-Length"]))
+            received.append({"path": self.path, "headers": dict(self.headers), "body": body})
+            self.send_response(200)
+            self.end_headers()
+
+        def log_message(self, *_args):
+            pass
+
+    server = HTTPServer(("127.0.0.1", 0), Collector)
+    threading.Thread(target=server.serve_forever, daemon=True).start()
+    try:
+        config = OpenTelemetryV2Config(
+            exporter=exporter_kind,
+            endpoint=f"http://127.0.0.1:{server.server_port}",
+            headers="x-collector-token=secret",
+        )
+        provider = TracerProvider()
+        provider.add_span_processor(SimpleSpanProcessor(providers.build_span_exporter(config)))
+        tracer = provider.get_tracer("test")
+        with tracer.start_as_current_span("parent", kind=SpanKind.SERVER) as parent:
+            with tracer.start_as_current_span("child") as child:
+                ids = (
+                    parent.get_span_context().trace_id,
+                    parent.get_span_context().span_id,
+                    child.get_span_context().span_id,
+                )
+        provider.shutdown()
+    finally:
+        server.shutdown()
+        server.server_close()
+    assert len(received) == 2
+    return received, ids
+
+
+def _only_span(request: dict) -> dict:
+    scope_spans = json.loads(request["body"])["resourceSpans"][0]["scopeSpans"][0]["spans"]
+    assert len(scope_spans) == 1
+    return scope_spans[0]
+
+
+def test_http_json_exporter_posts_otlp_json_to_traces_endpoint():
+    """``http/json`` must put the OTLP/JSON mapping on the wire (camelCase
+    fields, integer enums, hex ids) with a JSON content type, so collectors that
+    cannot decode protobuf can ingest the trace. Headers still travel."""
+    (child_request, parent_request), (trace_id, parent_id, child_id) = _export_one_trace_to_local_collector("http/json")
+
+    assert parent_request["path"] == "/v1/traces"
+    assert parent_request["headers"]["Content-Type"] == "application/json"
+    assert parent_request["headers"]["x-collector-token"] == "secret"
+    parent = _only_span(parent_request)
+    assert parent["name"] == "parent"
+    assert parent["kind"] == 2
+    assert parent["traceId"] == format(trace_id, "032x")
+    assert parent["spanId"] == format(parent_id, "016x")
+    assert "parentSpanId" not in parent
+    child = _only_span(child_request)
+    assert child["traceId"] == format(trace_id, "032x")
+    assert child["spanId"] == format(child_id, "016x")
+    assert child["parentSpanId"] == format(parent_id, "016x")
+
+
+def test_http_protobuf_exporter_still_posts_protobuf():
+    (_child_request, parent_request), (trace_id, _parent_id, _child_id) = _export_one_trace_to_local_collector(
+        "http/protobuf"
+    )
+
+    assert parent_request["path"] == "/v1/traces"
+    assert parent_request["headers"]["Content-Type"] == "application/x-protobuf"
+    assert format(trace_id, "032x").encode() not in parent_request["body"]
+    decoded = ExportTraceServiceRequest.FromString(parent_request["body"])
+    span = decoded.resource_spans[0].scope_spans[0].spans[0]
+    assert span.name == "parent"
+    assert span.trace_id == trace_id.to_bytes(16, "big")
+
+
 @pytest.fixture
 def otlp_collector() -> Iterator[tuple[str, list[str]]]:
     received_paths: list[str] = []
@@ -612,6 +699,21 @@ def test_traces_endpoint_per_exporter_coexists_with_default_normalization(otlp_c
     assert sorted(received_paths) == ["/services/collector/traces", "/v1/traces"]
 
 
+def test_http_json_exporter_honors_traces_endpoint(otlp_collector):
+    base_url, received_paths = otlp_collector
+    cfg = OpenTelemetryV2Config(
+        exporters=[
+            {
+                "kind": "http/json",
+                "endpoint": base_url,
+                "traces_endpoint": f"{base_url}/services/collector/traces",
+            }
+        ]
+    )
+    _export_one_span(cfg)
+    assert received_paths == ["/services/collector/traces"]
+
+
 def test_otlp_metric_exporter_uses_cumulative_histogram_temporality():
     """Histograms must export as cumulative, not delta.
 
diff --git a/ui/litellm-dashboard/src/components/callback_info_helpers.tsx b/ui/litellm-dashboard/src/components/callback_info_helpers.tsx
index 4b6f6233fe8..dfa35de1b34 100644
--- a/ui/litellm-dashboard/src/components/callback_info_helpers.tsx
+++ b/ui/litellm-dashboard/src/components/callback_info_helpers.tsx
@@ -158,6 +158,7 @@ export const CALLBACK_CONFIGS: CallbackConfig[] = [
     dynamic_params: {
       otel_endpoint: "text",
       otel_headers: "text",
+      otel_exporter_otlp_protocol: "select",
     },
     description: "OpenTelemetry Logging Integration",
   },
diff --git a/ui/litellm-dashboard/src/components/settings.test.tsx b/ui/litellm-dashboard/src/components/settings.test.tsx
index 762b23f413e..08cb9550646 100644
--- a/ui/litellm-dashboard/src/components/settings.test.tsx
+++ b/ui/litellm-dashboard/src/components/settings.test.tsx
@@ -219,6 +219,89 @@ describe("Settings", () => {
     expect(vi.mocked(setCallbacksCall)).not.toHaveBeenCalled();
   });
 
+  const mockOtelCallback = (variables: Record<string, string | null>) => {
+    mockGetCallbacksCall.mockResolvedValue({
+      callbacks: [{ name: "otel", variables }],
+      available_callbacks: {
+        otel: {
+          litellm_callback_name: "otel",
+          litellm_callback_params: ["OTEL_EXPORTER", "OTEL_EXPORTER_OTLP_PROTOCOL", "OTEL_ENDPOINT", "OTEL_HEADERS"],
+          ui_callback_name: "OpenTelemetry",
+        },
+      },
+      alerts: [],
+    });
+    mockGetCallbackConfigsCall.mockResolvedValue([
+      {
+        id: "otel",
+        displayName: "Open Telemetry",
+        dynamic_params: {
+          otel_endpoint: { type: "text", ui_name: "Endpoint URL", required: true },
+          otel_exporter_otlp_protocol: {
+            type: "select",
+            ui_name: "Export Protocol",
+            options: ["http/protobuf", "http/json"],
+            required: false,
+          },
+        },
+      },
+    ]);
+  };
+
+  const openOtelEditModal = async () => {
+    const user = userEvent.setup();
+    render(<Settings {...defaultProps} />);
+    await user.click(await screen.findByTestId("callback-actions-otel-success"));
+    await user.click(await screen.findByTestId("callback-action-edit"));
+    return user;
+  };
+
+  it("should post the chosen export protocol when a select dynamic param is saved", async () => {
+    mockOtelCallback({ OTEL_ENDPOINT: "http://collector:4318" });
+    const user = await openOtelEditModal();
+
+    expect(await screen.findByLabelText("Endpoint URL")).toHaveValue("http://collector:4318");
+    await user.click(screen.getByLabelText("Export Protocol"));
+    await user.click(await screen.findByRole("option", { name: "http/json" }));
+    expect(screen.getByLabelText("Export Protocol")).toHaveTextContent("http/json");
+
+    await user.click(within(screen.getByRole("dialog")).getByRole("button", { name: "Save Changes" }));
+
+    await waitFor(() => {
+      expect(vi.mocked(setCallbacksCall)).toHaveBeenCalledWith(
+        "token",
+        expect.objectContaining({
+          environment_variables: expect.objectContaining({
+            callback: "otel",
+            otel_endpoint: "http://collector:4318",
+            otel_exporter_otlp_protocol: "http/json",
+          }),
+        }),
+      );
+    });
+  });
+
+  it("should show the saved export protocol in the edit modal and keep it on an unchanged save", async () => {
+    mockOtelCallback({ OTEL_ENDPOINT: "http://collector:4318", OTEL_EXPORTER_OTLP_PROTOCOL: "http/json" });
+    const user = await openOtelEditModal();
+
+    expect(await screen.findByLabelText("Endpoint URL")).toHaveValue("http://collector:4318");
+    expect(screen.getByLabelText("Export Protocol")).toHaveTextContent("http/json");
+
+    await user.click(within(screen.getByRole("dialog")).getByRole("button", { name: "Save Changes" }));
+
+    await waitFor(() => {
+      expect(vi.mocked(setCallbacksCall)).toHaveBeenCalledWith("token", {
+        environment_variables: {
+          callback: "otel",
+          otel_endpoint: "http://collector:4318",
+          otel_exporter_otlp_protocol: "http/json",
+        },
+        litellm_settings: { success_callback: ["otel"] },
+      });
+    });
+  });
+
   it("should send the typed webhook url for an alert type when the alerting tab is saved", async () => {
     const user = userEvent.setup();
     render(<Settings {...defaultProps} />);
diff --git a/ui/litellm-dashboard/src/components/settings.tsx b/ui/litellm-dashboard/src/components/settings.tsx
index 9cb55b6ed5c..e549770af6e 100644
--- a/ui/litellm-dashboard/src/components/settings.tsx
+++ b/ui/litellm-dashboard/src/components/settings.tsx
@@ -14,6 +14,7 @@ import {
 } from "@/components/ui/combobox";
 import { Dialog, DialogContent, DialogHeader, DialogTitle } from "@/components/ui/dialog";
 import { Input } from "@/components/ui/input";
+import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
 import { Switch } from "@/components/ui/switch";
 import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow } from "@/components/ui/table";
 import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
@@ -59,7 +60,7 @@ interface DynamicParamsFieldsProps {
 }
 
 const DynamicParamsFields: React.FC<DynamicParamsFieldsProps> = ({ params, callbackConfigs, selectedCallback }) => {
-  const { register, formState } = useFormContext<CallbackFormValues>();
+  const { register, control, formState } = useFormContext<CallbackFormValues>();
   const fieldIdPrefix = React.useId();
 
   if (!params || params.length === 0) {
@@ -74,37 +75,63 @@ const DynamicParamsFields: React.FC<DynamicParamsFieldsProps> = ({ params, callb
         const paramType = paramConfig.type || "text";
         const fieldLabel = paramConfig.ui_name || param.replace(/_/g, " ").replace(/\b\w/g, (l) => l.toUpperCase());
         const isRequired = paramConfig.required || false;
+        const selectOptions: string[] = Array.isArray(paramConfig.options) ? paramConfig.options : [];
+        const isSelect = paramType === "select" && selectOptions.length > 0;
         const fieldId = `${fieldIdPrefix}-${param}`;
-        const registration = register(
-          param,
-          isRequired ? { required: `Please enter the ${fieldLabel.toLowerCase()}` } : undefined,
-        );
+        const validationRules = isRequired ? { required: `Please enter the ${fieldLabel.toLowerCase()}` } : undefined;
+        const registration = isSelect ? undefined : register(param, validationRules);
 
         return (
           <Field key={param} className="mb-4">
             <FieldLabel htmlFor={fieldId}>
               <span className="text-sm font-medium text-foreground">{fieldLabel} </span>
             </FieldLabel>
-            {paramType === "password" ? (
-              <Input
-                id={fieldId}
-                type="password"
-                placeholder={`Enter your ${fieldLabel.toLowerCase()}`}
-                {...registration}
+            {isSelect && (
+              <Controller
+                control={control}
+                name={param}
+                rules={validationRules}
+                render={({ field }) => (
+                  <Select
+                    items={selectOptions.map((option) => ({ label: option, value: option }))}
+                    value={field.value || null}
+                    onValueChange={(selected: string | null) => field.onChange(selected ?? "")}
+                  >
+                    <SelectTrigger id={fieldId} className="w-full" onBlur={field.onBlur}>
+                      <SelectValue placeholder={`Select ${fieldLabel.toLowerCase()}`} />
+                    </SelectTrigger>
+                    <SelectContent>
+                      {selectOptions.map((option) => (
+                        <SelectItem key={option} value={option}>
+                          {option}
+                        </SelectItem>
+                      ))}
+                    </SelectContent>
+                  </Select>
+                )}
               />
-            ) : paramType === "number" ? (
-              <Input
-                id={fieldId}
-                type="number"
-                placeholder={`Enter ${fieldLabel.toLowerCase()}`}
-                min={0}
-                max={1}
-                step={0.1}
-                {...registration}
-              />
-            ) : (
-              <Input id={fieldId} placeholder={`Enter your ${fieldLabel.toLowerCase()}`} {...registration} />
             )}
+            {!isSelect &&
+              (paramType === "password" ? (
+                <Input
+                  id={fieldId}
+                  type="password"
+                  placeholder={`Enter your ${fieldLabel.toLowerCase()}`}
+                  {...registration}
+                />
+              ) : paramType === "number" ? (
+                <Input
+                  id={fieldId}
+                  type="number"
+                  placeholder={`Enter ${fieldLabel.toLowerCase()}`}
+                  min={0}
+                  max={1}
+                  step={0.1}
+                  {...registration}
+                />
+              ) : (
+                <Input id={fieldId} placeholder={`Enter your ${fieldLabel.toLowerCase()}`} {...registration} />
+              ))}
             <FieldError errors={[formState.errors[param]]} />
           </Field>
         );
@@ -271,15 +298,22 @@ const Settings: React.FC<SettingsPageProps> = ({ accessToken, userRole, userID,
 
   useEffect(() => {
     if (showEditCallback && selectedEditCallback) {
+      const params = getDynamicParamsForCallback(
+        selectedEditCallback.name,
+        callbackConfigs,
+        selectedEditCallback.variables,
+      );
+      const fieldNameFor = (variable: string) =>
+        params.find((param) => param.toUpperCase() === variable.toUpperCase()) ?? variable;
       const normalized = Object.fromEntries(
-        Object.entries(selectedEditCallback.variables || {}).map(([k, v]) => [k, v ?? ""]),
+        Object.entries(selectedEditCallback.variables || {}).map(([k, v]) => [fieldNameFor(k), v ?? ""]),
       );
       editForm.reset({
         ...normalized,
         callback: selectedEditCallback.name,
       });
     }
-  }, [showEditCallback, selectedEditCallback, editForm]);
+  }, [showEditCallback, selectedEditCallback, editForm, callbackConfigs]);
 
   const handleSwitchChange = (alertName: string) => {
     if (activeAlerts.includes(alertName)) {

From 0f886d9006f6a29101cffd658c05e7f755a4923c Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:53:43 -0700
Subject: [PATCH 143/223] perf: move Anthropic, Vertex Anthropic, Ollama and HF
 template fetches off the event loop (#40311)

Direct Anthropic http image inlining, Vertex AI Anthropic forced base64 conversion, Ollama completion image download and the watsonx GPT-OSS Hugging Face chat template lookup all ran synchronous HTTP inside the async request path. Each provider config now transforms through async_inline_remote_media on the async path, the Anthropic handler awaits the config's async_transform_request before dispatch and in the Rust fallback, and watsonx text exposes async_transform_request and always awaits ahf_chat_template

Resolves LIT-7028

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../prompt_templates/image_handling.py        |  13 +-
 litellm/llms/anthropic/chat/handler.py        | 200 ++++++++----------
 litellm/llms/anthropic/chat/transformation.py |  24 +++
 .../llms/ollama/completion/transformation.py  |  24 +++
 .../anthropic/transformation.py               |   4 +
 litellm/llms/watsonx/chat/transformation.py   |   8 +-
 .../llms/watsonx/completion/transformation.py |  12 +-
 .../chat/test_anthropic_chat_handler.py       |  51 ++++-
 .../test_ollama_completion_transformation.py  |  44 +++-
 ..._vertex_ai_anthropic_image_url_handling.py |  62 +++++-
 .../test_litellm/llms/watsonx/test_watsonx.py |  68 ++++++
 11 files changed, 380 insertions(+), 130 deletions(-)

diff --git a/litellm/litellm_core_utils/prompt_templates/image_handling.py b/litellm/litellm_core_utils/prompt_templates/image_handling.py
index 24f3b8bca7f..c9933422cc3 100644
--- a/litellm/litellm_core_utils/prompt_templates/image_handling.py
+++ b/litellm/litellm_core_utils/prompt_templates/image_handling.py
@@ -183,6 +183,7 @@ class _RemoteSource:
 class RemoteMedia:
     url: str
     fields: Mapping[str, object]
+    part_type: str
 
 
 _NO_FIELDS: Final[Mapping[str, object]] = MappingProxyType({})
@@ -192,6 +193,10 @@ def inline_every_remote_url(_media: RemoteMedia) -> bool:
     return True
 
 
+def inline_remote_image_urls(media: RemoteMedia) -> bool:
+    return media.part_type == "image_url"
+
+
 def _parse_remote_image(fields: Mapping[str, object]) -> _RemoteImage | None:
     if fields.get("type") != "image_url":
         return None
@@ -223,11 +228,11 @@ def _parse_remote_part(part: object) -> _RemoteImage | _RemoteFile | _RemoteSour
 def _remote_media(remote: _RemoteImage | _RemoteFile | _RemoteSource) -> RemoteMedia:
     match remote:
         case _RemoteImage(_, image_url, url):
-            return RemoteMedia(url, image_url if image_url is not None else _NO_FIELDS)
+            return RemoteMedia(url, image_url if image_url is not None else _NO_FIELDS, "image_url")
         case _RemoteFile(_, file, url):
-            return RemoteMedia(url, file)
-        case _RemoteSource(_, source, url):
-            return RemoteMedia(url, source)
+            return RemoteMedia(url, file, "file")
+        case _RemoteSource(part, source, url):
+            return RemoteMedia(url, source, str(part.get("type")))
 
 
 _PDF_FORMAT: Final = MappingProxyType({"format": "application/pdf"})
diff --git a/litellm/llms/anthropic/chat/handler.py b/litellm/llms/anthropic/chat/handler.py
index c82be07a5c5..d1fe4cadf40 100644
--- a/litellm/llms/anthropic/chat/handler.py
+++ b/litellm/llms/anthropic/chat/handler.py
@@ -368,27 +368,92 @@ class AnthropicChatCompletion(BaseLLM):
         if config is None:
             raise ValueError(f"Provider config not found for model: {model} and provider: {custom_llm_provider}")
 
-        def build_request() -> tuple[dict, dict]:  # mutable-ok: rewritten in place downstream
-            """Translate the request the Python way, returning `(headers, data)`.
+        transform_params: Final = {**optional_params, "is_vertex_request": is_vertex_request}
+
+        def finish_request(request_data: dict) -> tuple[dict, dict]:  # mutable-ok: rewritten in place downstream
+            """Filter beta headers and emit pre_call, returning `(headers, data)`.
 
             The pair stays mutable because the streaming path rewrites it in
-            place (`data["stream"] = True`) before sending.
-
-            Shared by the normal path and by the Rust path's fallback, which
-            builds it only when the Rust call did not serve the request.
+            place (`data["stream"] = True`) before sending. A Rust attempt that
+            declined already emitted pre_call for this request, so skip it there.
             """
-            request_data: Final = config.transform_request(
-                model=model,
-                messages=messages,
-                optional_params={**optional_params, "is_vertex_request": is_vertex_request},
-                litellm_params=litellm_params,
-                headers=headers,
-            )
-            return update_request_with_filtered_beta(
+            request_headers, data = update_request_with_filtered_beta(
                 headers=headers,
                 request_data=request_data,
                 provider=custom_llm_provider,
             )
+            if not serves_via_rust:
+                logging_obj.pre_call(
+                    input=messages,
+                    api_key=api_key,
+                    additional_args={
+                        "complete_input_dict": data,
+                        "api_base": api_base,
+                        "headers": request_headers,
+                    },
+                )
+            print_verbose(f"_is_function_call: {_is_function_call}")
+            return request_headers, data
+
+        async def acompletion_dispatch() -> "ModelResponse | CustomStreamWrapper":
+            """Translate then send, so the provider config can inline remote media off the event loop."""
+            request_headers, data = finish_request(
+                await config.async_transform_request(
+                    model=model,
+                    messages=messages,
+                    optional_params=transform_params,
+                    litellm_params=litellm_params,
+                    headers=headers,
+                )
+            )
+            if (
+                stream is True
+            ):  # if function call - fake the streaming (need complete blocks for output parsing in openai format)
+                print_verbose("makes async anthropic streaming POST request")
+                data["stream"] = stream
+                return await self.acompletion_stream_function(
+                    model=model,
+                    messages=messages,
+                    data=data,
+                    api_base=api_base,
+                    custom_prompt_dict=custom_prompt_dict,
+                    model_response=model_response,
+                    print_verbose=print_verbose,
+                    encoding=encoding,
+                    api_key=api_key,
+                    logging_obj=logging_obj,
+                    optional_params=optional_params,
+                    stream=stream,
+                    _is_function_call=_is_function_call,
+                    json_mode=json_mode,
+                    litellm_params=litellm_params,
+                    logger_fn=logger_fn,
+                    headers=request_headers,
+                    timeout=timeout,
+                    client=(client if client is not None and isinstance(client, AsyncHTTPHandler) else None),
+                )
+            return await self.acompletion_function(
+                model=model,
+                messages=messages,
+                data=data,
+                api_base=api_base,
+                custom_prompt_dict=custom_prompt_dict,
+                model_response=model_response,
+                print_verbose=print_verbose,
+                encoding=encoding,
+                api_key=api_key,
+                provider_config=config,
+                logging_obj=logging_obj,
+                optional_params=optional_params,
+                stream=stream,
+                _is_function_call=_is_function_call,
+                litellm_params=litellm_params,
+                logger_fn=logger_fn,
+                headers=request_headers,
+                client=client,
+                json_mode=json_mode,
+                timeout=timeout,
+            )
 
         # The Rust core owns the whole call for the subset it accepts, so ask
         # before transforming: whichever path runs emits pre_call exactly once.
@@ -424,35 +489,6 @@ class AnthropicChatCompletion(BaseLLM):
                 additional_args=rust_logging_args,
             )
             if acompletion is True:
-
-                async def python_fallback() -> "ModelResponse | CustomStreamWrapper":
-                    # pre_call already fired for this request above. The Rust
-                    # path only declines before the provider is called, so this
-                    # is the same attempt continuing, not a second one.
-                    fallback_headers, fallback_data = build_request()
-                    return await self.acompletion_function(
-                        model=model,
-                        messages=messages,
-                        data=fallback_data,
-                        api_base=api_base,
-                        custom_prompt_dict=custom_prompt_dict,
-                        model_response=model_response,
-                        print_verbose=print_verbose,
-                        encoding=encoding,
-                        api_key=api_key,
-                        provider_config=config,
-                        logging_obj=logging_obj,
-                        optional_params=optional_params,
-                        stream=stream,
-                        _is_function_call=_is_function_call,
-                        litellm_params=litellm_params,
-                        logger_fn=logger_fn,
-                        headers=fallback_headers,
-                        client=client,
-                        json_mode=json_mode,
-                        timeout=timeout,
-                    )
-
                 return rust_chat_completions_bridge.achat_completions_or_fallback(
                     model=model,
                     messages=messages,
@@ -464,7 +500,7 @@ class AnthropicChatCompletion(BaseLLM):
                     extra_headers=headers,
                     timeout=timeout,
                     on_response=log_rust_post_call,
-                    python_fallback=python_fallback,
+                    python_fallback=acompletion_dispatch,
                 )
             rust_response: Final = rust_chat_completions_bridge.chat_completions(
                 model=model,
@@ -481,74 +517,18 @@ class AnthropicChatCompletion(BaseLLM):
             if rust_response is not None:
                 return rust_response
 
-        headers, data = build_request()
-
-        ## LOGGING
-        # Reaching here with `serves_via_rust` set means the Rust attempt
-        # declined at call time, before the provider was called, and already
-        # logged this request. That is the same attempt continuing.
-        if not serves_via_rust:
-            logging_obj.pre_call(
-                input=messages,
-                api_key=api_key,
-                additional_args={
-                    "complete_input_dict": data,
-                    "api_base": api_base,
-                    "headers": headers,
-                },
-            )
-        print_verbose(f"_is_function_call: {_is_function_call}")
         if acompletion is True:
-            if (
-                stream is True
-            ):  # if function call - fake the streaming (need complete blocks for output parsing in openai format)
-                print_verbose("makes async anthropic streaming POST request")
-                data["stream"] = stream
-                return self.acompletion_stream_function(
-                    model=model,
-                    messages=messages,
-                    data=data,
-                    api_base=api_base,
-                    custom_prompt_dict=custom_prompt_dict,
-                    model_response=model_response,
-                    print_verbose=print_verbose,
-                    encoding=encoding,
-                    api_key=api_key,
-                    logging_obj=logging_obj,
-                    optional_params=optional_params,
-                    stream=stream,
-                    _is_function_call=_is_function_call,
-                    json_mode=json_mode,
-                    litellm_params=litellm_params,
-                    logger_fn=logger_fn,
-                    headers=headers,
-                    timeout=timeout,
-                    client=(client if client is not None and isinstance(client, AsyncHTTPHandler) else None),
-                )
-            else:
-                return self.acompletion_function(
-                    model=model,
-                    messages=messages,
-                    data=data,
-                    api_base=api_base,
-                    custom_prompt_dict=custom_prompt_dict,
-                    model_response=model_response,
-                    print_verbose=print_verbose,
-                    encoding=encoding,
-                    api_key=api_key,
-                    provider_config=config,
-                    logging_obj=logging_obj,
-                    optional_params=optional_params,
-                    stream=stream,
-                    _is_function_call=_is_function_call,
-                    litellm_params=litellm_params,
-                    logger_fn=logger_fn,
-                    headers=headers,
-                    client=client,
-                    json_mode=json_mode,
-                    timeout=timeout,
-                )
+            return acompletion_dispatch()
         else:
+            headers, data = finish_request(
+                config.transform_request(
+                    model=model,
+                    messages=messages,
+                    optional_params=transform_params,
+                    litellm_params=litellm_params,
+                    headers=headers,
+                )
+            )
             ## COMPLETION CALL
             if (
                 stream is True
diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py
index 5f7ac73c919..5463f1862ad 100644
--- a/litellm/llms/anthropic/chat/transformation.py
+++ b/litellm/llms/anthropic/chat/transformation.py
@@ -26,6 +26,11 @@ from litellm.litellm_core_utils.core_helpers import map_finish_reason
 from litellm.litellm_core_utils.prompt_templates.common_utils import (
     sanitize_input_schema_for_anthropic,
 )
+from litellm.litellm_core_utils.prompt_templates.image_handling import (
+    RemoteMedia,
+    async_inline_remote_media,
+    inline_remote_image_urls,
+)
 from litellm.llms.base_llm.base_utils import type_to_response_format_param
 from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException
 from litellm.types.llms.anthropic import (
@@ -1840,6 +1845,25 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
                 break
         return headers
 
+    def inlines_remote_media(self, media: RemoteMedia) -> bool:
+        return inline_remote_image_urls(media) and media.url.startswith("http://")
+
+    async def async_transform_request(
+        self,
+        model: str,
+        messages: list[AllMessageValues],  # mutable-ok: BaseConfig signature
+        optional_params: dict[str, object],  # mutable-ok: BaseConfig signature
+        litellm_params: dict[str, object],  # mutable-ok: BaseConfig signature
+        headers: dict[str, object],  # mutable-ok: BaseConfig signature
+    ) -> dict[str, object]:  # mutable-ok: BaseConfig signature
+        return self.transform_request(
+            model=model,
+            messages=await async_inline_remote_media(messages, should_inline=self.inlines_remote_media),
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            headers=headers,
+        )
+
     def transform_request(
         self,
         model: str,
diff --git a/litellm/llms/ollama/completion/transformation.py b/litellm/llms/ollama/completion/transformation.py
index dccc83efed4..a1340ba1952 100644
--- a/litellm/llms/ollama/completion/transformation.py
+++ b/litellm/llms/ollama/completion/transformation.py
@@ -16,6 +16,10 @@ from litellm.litellm_core_utils.prompt_templates.factory import (
     custom_prompt,
     ollama_pt,
 )
+from litellm.litellm_core_utils.prompt_templates.image_handling import (
+    async_inline_remote_media,
+    inline_remote_image_urls,
+)
 from litellm.llms.base_llm.base_model_iterator import BaseModelResponseIterator
 from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException
 from litellm.types.llms.openai import AllMessageValues, ChatCompletionUsageBlock
@@ -344,6 +348,26 @@ class OllamaConfig(BaseConfig):
         )
         return model_response
 
+    @property
+    def uses_async_transform_request(self) -> bool:
+        return True
+
+    async def async_transform_request(
+        self,
+        model: str,
+        messages: list[AllMessageValues],  # mutable-ok: BaseConfig signature
+        optional_params: dict[str, object],  # mutable-ok: BaseConfig signature
+        litellm_params: dict[str, object],  # mutable-ok: BaseConfig signature
+        headers: dict[str, object],  # mutable-ok: BaseConfig signature
+    ) -> dict[str, object]:  # mutable-ok: BaseConfig signature
+        return self.transform_request(
+            model=model,
+            messages=await async_inline_remote_media(messages, should_inline=inline_remote_image_urls),
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            headers=headers,
+        )
+
     def transform_request(
         self,
         model: str,
diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py
index 7579bc8c02e..508f68b3eca 100644
--- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py
+++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py
@@ -5,6 +5,7 @@ from typing import TYPE_CHECKING, Final
 import httpx
 
 import litellm
+from litellm.litellm_core_utils.prompt_templates.image_handling import RemoteMedia, inline_remote_image_urls
 from litellm.llms.base_llm.chat.transformation import LiteLLMLoggingObj
 from litellm.types.llms.openai import AllMessageValues
 from litellm.types.utils import ModelResponse
@@ -51,6 +52,9 @@ class VertexAIAnthropicConfig(AnthropicConfig):
     def custom_llm_provider(self) -> str | None:
         return "vertex_ai"
 
+    def inlines_remote_media(self, media: RemoteMedia) -> bool:
+        return inline_remote_image_urls(media)
+
     def should_strip_billing_metadata(self) -> bool:
         return True
 
diff --git a/litellm/llms/watsonx/chat/transformation.py b/litellm/llms/watsonx/chat/transformation.py
index f9e71f9116e..cc616ab5f9f 100644
--- a/litellm/llms/watsonx/chat/transformation.py
+++ b/litellm/llms/watsonx/chat/transformation.py
@@ -157,11 +157,9 @@ class IBMWatsonXChatConfig(IBMWatsonXMixin, OpenAIGPTConfig):
     @staticmethod
     async def aapply_prompt_template(model: str, messages: list[dict[str, str]]) -> str | None:
         """Apply prompt template (async version)"""
-        import litellm
         from litellm.litellm_core_utils.prompt_templates.factory import (
             ahf_chat_template,
             custom_prompt,
-            hf_chat_template,
             ibm_granite_pt,
             mistral_instruct_pt,
         )
@@ -179,11 +177,7 @@ class IBMWatsonXChatConfig(IBMWatsonXMixin, OpenAIGPTConfig):
             else:
                 hf_model = model
             try:
-                # Use sync if cached, async if not
-                if hf_model in litellm.known_tokenizer_config:
-                    result = hf_chat_template(model=hf_model, messages=messages)
-                else:
-                    result = await ahf_chat_template(model=hf_model, messages=messages)
+                result = await ahf_chat_template(model=hf_model, messages=messages)
                 # Return result if it's truthy (not None and not empty string)
                 # The caller (_aconvert_watsonx_messages_core) will handle None/empty by falling back to default
                 if result:
diff --git a/litellm/llms/watsonx/completion/transformation.py b/litellm/llms/watsonx/completion/transformation.py
index 0b4c9ae917a..2be007336b4 100644
--- a/litellm/llms/watsonx/completion/transformation.py
+++ b/litellm/llms/watsonx/completion/transformation.py
@@ -16,6 +16,7 @@ from ..common_utils import (
     IBMWatsonXMixin,
     WatsonXAIError,
     _get_api_params,
+    aconvert_watsonx_messages_to_prompt,
     convert_watsonx_messages_to_prompt,
 )
 
@@ -236,7 +237,11 @@ class IBMWatsonXAIConfig(IBMWatsonXMixin, BaseConfig):
             **watsonx_auth_payload,
         }
 
-    async def atransform_request(
+    @property
+    def uses_async_transform_request(self) -> bool:
+        return True
+
+    async def async_transform_request(
         self,
         model: str,
         messages: list[AllMessageValues],
@@ -244,11 +249,6 @@ class IBMWatsonXAIConfig(IBMWatsonXMixin, BaseConfig):
         litellm_params: dict,
         headers: dict,
     ) -> dict:
-        """Async version of transform_request"""
-        from litellm.llms.watsonx.common_utils import (
-            aconvert_watsonx_messages_to_prompt,
-        )
-
         provider: Final = model.split("/")[0]
         prompt: Final = await aconvert_watsonx_messages_to_prompt(
             model=model, messages=messages, provider=provider, custom_prompt_dict={}
diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py
index b4b173b20c3..18309595414 100644
--- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py
+++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py
@@ -9,7 +9,8 @@ import pytest
 import litellm
 from litellm.constants import RESPONSE_FORMAT_TOOL_NAME
 from litellm.llms.anthropic.chat.handler import ModelResponseIterator, make_call
-from litellm.llms.custom_httpx.http_handler import HTTPHandler
+from litellm._uuid import uuid
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 from litellm.types.llms.openai import (
     ChatCompletionToolCallChunk,
     ChatCompletionToolCallFunctionChunk,
@@ -85,6 +86,54 @@ def test_anthropic_completion_does_not_send_deployment_default_limits():
     assert "default_api_key_tpm_limit" not in request_body
 
 
+async def test_anthropic_async_completion_inlines_http_images_off_the_event_loop(async_only_image_fetch):
+    http_image_url = f"http://img.example/{uuid.uuid4()}.png"
+    https_image_url = f"https://img.example/{uuid.uuid4()}.png"
+    captured = {}
+
+    def handle(request):
+        captured["body"] = json.loads(request.content)
+        return httpx.Response(
+            200,
+            json={
+                "id": "msg_1",
+                "type": "message",
+                "role": "assistant",
+                "model": "claude-sonnet-4-6",
+                "content": [{"type": "text", "text": "Green"}],
+                "stop_reason": "end_turn",
+                "usage": {"input_tokens": 1, "output_tokens": 1},
+            },
+        )
+
+    client = AsyncHTTPHandler()
+    client.client = httpx.AsyncClient(transport=httpx.MockTransport(handle))
+
+    response = await litellm.acompletion(
+        model="anthropic/claude-sonnet-4-6",
+        messages=[
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "What colour is this?"},
+                    {"type": "image_url", "image_url": {"url": http_image_url}},
+                    {"type": "image_url", "image_url": {"url": https_image_url}},
+                ],
+            }
+        ],
+        api_key="test-key",
+        client=client,
+    )
+
+    assert response.choices[0].message.content == "Green"
+    assert async_only_image_fetch.fetched == [http_image_url]
+    sources = [part["source"] for part in captured["body"]["messages"][0]["content"] if part["type"] == "image"]
+    assert sources == [
+        {"type": "base64", "media_type": "image/png", "data": async_only_image_fetch.base64_png},
+        {"type": "url", "url": https_image_url},
+    ]
+
+
 def test_redacted_thinking_content_block_delta():
     chunk = {
         "type": "content_block_start",
diff --git a/tests/test_litellm/llms/ollama/test_ollama_completion_transformation.py b/tests/test_litellm/llms/ollama/test_ollama_completion_transformation.py
index eadc2bc9541..b2071155f3f 100644
--- a/tests/test_litellm/llms/ollama/test_ollama_completion_transformation.py
+++ b/tests/test_litellm/llms/ollama/test_ollama_completion_transformation.py
@@ -2,9 +2,11 @@ import json
 from litellm._uuid import uuid
 from unittest.mock import MagicMock, patch
 
+import httpx
 import pytest
 
-
+import litellm
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
 from litellm.llms.ollama.completion.transformation import (
     OllamaConfig,
     OllamaTextCompletionResponseIterator,
@@ -502,3 +504,43 @@ class TestOllamaTextCompletionResponseIterator:
         assert result["usage"]["prompt_tokens"] == 10
         assert result["usage"]["completion_tokens"] == 5
         assert result["usage"]["total_tokens"] == 15
+
+
+async def test_ollama_async_completion_inlines_remote_images_off_the_event_loop(async_only_image_fetch):
+    image_url = f"https://img.example/{uuid.uuid4()}.png"
+    captured = {}
+
+    def handle(request):
+        captured["body"] = json.loads(request.content)
+        return httpx.Response(
+            200,
+            json={
+                "model": "llava",
+                "response": "Green",
+                "done": True,
+                "prompt_eval_count": 1,
+                "eval_count": 1,
+            },
+        )
+
+    client = AsyncHTTPHandler()
+    client.client = httpx.AsyncClient(transport=httpx.MockTransport(handle))
+
+    response = await litellm.acompletion(
+        model="ollama/llava",
+        messages=[
+            {
+                "role": "user",
+                "content": [
+                    {"type": "text", "text": "What colour is this?"},
+                    {"type": "image_url", "image_url": {"url": image_url}},
+                ],
+            }
+        ],
+        api_base="http://ollama.example:11434",
+        client=client,
+    )
+
+    assert response.choices[0].message.content == "Green"
+    assert async_only_image_fetch.fetched == [image_url]
+    assert captured["body"]["images"] == [async_only_image_fetch.base64_png]
diff --git a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_anthropic_image_url_handling.py b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_anthropic_image_url_handling.py
index fa286f6f609..98071594ebf 100644
--- a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_anthropic_image_url_handling.py
+++ b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_anthropic_image_url_handling.py
@@ -6,11 +6,15 @@ Vertex AI Anthropic models don't support URL sources for images.
 LiteLLM should convert image URLs to base64 when using Vertex AI Anthropic.
 """
 
+import json
+import sys
 from unittest.mock import patch, MagicMock
 
+import httpx
 import pytest
 
-
+import litellm
+from litellm._uuid import uuid
 from litellm.litellm_core_utils.prompt_templates.factory import (
     anthropic_messages_pt,
     convert_to_anthropic_tool_result,
@@ -371,3 +375,59 @@ class TestToolMessageImageURLHandling:
                                 assert item["source"]["type"] == "url"
                                 return
         pytest.fail("Could not find image in tool result")
+
+
+async def test_vertex_ai_anthropic_async_completion_inlines_https_images_off_the_event_loop(async_only_image_fetch):
+    from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+
+    image_url = f"https://img.example/{uuid.uuid4()}.png"
+    captured = {}
+
+    def handle(request):
+        captured["body"] = json.loads(request.content)
+        return httpx.Response(
+            200,
+            json={
+                "id": "msg_1",
+                "type": "message",
+                "role": "assistant",
+                "model": "claude-sonnet-4-6",
+                "content": [{"type": "text", "text": "Green"}],
+                "stop_reason": "end_turn",
+                "usage": {"input_tokens": 1, "output_tokens": 1},
+            },
+        )
+
+    client = AsyncHTTPHandler()
+    client.client = httpx.AsyncClient(transport=httpx.MockTransport(handle))
+    vertexai = MagicMock()
+    vertexai.preview.language_models = MagicMock()
+
+    with (
+        patch.dict(sys.modules, {"vertexai": vertexai}),
+        patch.object(  # test-quality-ok: litellm.acompletion has no seam for Vertex token minting
+            litellm.main.vertex_partner_models_chat_completion,
+            "_ensure_access_token",
+            return_value=("token", "test-project"),
+        ),
+    ):
+        response = await litellm.acompletion(
+            model="vertex_ai/claude-sonnet-4-6",
+            messages=[
+                {
+                    "role": "user",
+                    "content": [
+                        {"type": "text", "text": "What colour is this?"},
+                        {"type": "image_url", "image_url": {"url": image_url}},
+                    ],
+                }
+            ],
+            vertex_project="test-project",
+            vertex_location="us-east5",
+            client=client,
+        )
+
+    assert response.choices[0].message.content == "Green"
+    assert async_only_image_fetch.fetched == [image_url]
+    sources = [part["source"] for part in captured["body"]["messages"][0]["content"] if part["type"] == "image"]
+    assert sources == [{"type": "base64", "media_type": "image/png", "data": async_only_image_fetch.base64_png}]
diff --git a/tests/test_litellm/llms/watsonx/test_watsonx.py b/tests/test_litellm/llms/watsonx/test_watsonx.py
index 8ac4472b22d..285afffefc0 100644
--- a/tests/test_litellm/llms/watsonx/test_watsonx.py
+++ b/tests/test_litellm/llms/watsonx/test_watsonx.py
@@ -356,6 +356,74 @@ async def test_watsonx_gpt_oss_uses_async_http_handler():
         assert result["status"] == "success", "Should return success status"
 
 
+@pytest.mark.parametrize("tokenizer_config_cached", [False, True], ids=["tokenizer_config", "cached_config_jinja"])
+async def test_watsonx_text_gpt_oss_async_completion_fetches_hf_template_off_the_event_loop(
+    monkeypatch, tokenizer_config_cached
+):
+    import httpx
+
+    from litellm._uuid import uuid
+    from litellm.litellm_core_utils.prompt_templates import huggingface_template_handler
+    from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
+
+    hf_model = f"openai/gpt-oss-{uuid.uuid4()}"
+    chat_template = "{% for m in messages %}<|{{ m['role'] }}|>{{ m['content'] }}{% endfor %}"
+    if tokenizer_config_cached:
+        cached_config = {"status": "success", "tokenizer": {"bos_token": None, "eos_token": None}}
+        monkeypatch.setattr(litellm, "known_tokenizer_config", {hf_model: cached_config})
+        expected_fetch = f"https://huggingface.co/{hf_model}/raw/main/chat_template.jinja"
+    else:
+        monkeypatch.setattr(litellm, "known_tokenizer_config", {})
+        expected_fetch = f"https://huggingface.co/{hf_model}/raw/main/tokenizer_config.json"
+    hf_fetched = []
+    captured = {}
+
+    def forbid_sync_client():
+        raise AssertionError("sync HuggingFace fetch ran on the request path")
+
+    async def serve_hf_file(url, **kwargs):
+        hf_fetched.append(url)
+        if url.endswith(".jinja"):
+            return httpx.Response(200, content=chat_template.encode())
+        return httpx.Response(200, json={"chat_template": chat_template, "bos_token": None, "eos_token": None})
+
+    monkeypatch.setattr(huggingface_template_handler, "_get_httpx_client", forbid_sync_client)
+    monkeypatch.setattr(huggingface_template_handler, "get_async_httpx_client", lambda **kwargs: Mock(get=serve_hf_file))
+
+    def handle(request):
+        captured["body"] = json.loads(request.content)
+        return httpx.Response(
+            200,
+            json={
+                "model_id": hf_model,
+                "results": [
+                    {
+                        "generated_text": "Hi",
+                        "generated_token_count": 1,
+                        "input_token_count": 1,
+                        "stop_reason": "eos_token",
+                    }
+                ],
+            },
+        )
+
+    client = AsyncHTTPHandler()
+    client.client = httpx.AsyncClient(transport=httpx.MockTransport(handle))
+
+    response = await litellm.acompletion(
+        model=f"watsonx_text/{hf_model}",
+        messages=[{"role": "user", "content": "Hi there"}],
+        api_base="https://test-api.watsonx.ai",
+        project_id="test-project-id",
+        token="test-token",
+        client=client,
+    )
+
+    assert response.choices[0].message.content == "Hi"
+    assert hf_fetched == [expected_fetch]
+    assert captured["body"]["input"] == "<|user|>Hi there"
+
+
 def test_watsonx_chat_completion_with_reasoning_effort(monkeypatch):
     """
     Test that 'reasoning_effort' is correctly passed through to the WatsonX API payload.

From 8ce4c050198b957d742fcac3b7a9ee3a407e5738 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:54:11 -0700
Subject: [PATCH 144/223] fix(router): move retry-policy retries off the
 refusing deployment on every router entrypoint (#40306)

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/router.py                 |  24 +++-
 tests/test_litellm/test_router.py | 227 ++++++++++++++++++++++++++++++
 2 files changed, 250 insertions(+), 1 deletion(-)

diff --git a/litellm/router.py b/litellm/router.py
index e1095fe26f3..934a4ac86a9 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -3656,6 +3656,13 @@ class Router:
         effective_model_info: Final = kwargs.get("model_info") or deployment.get("model_info") or MappingProxyType({})
         self._set_failed_deployment_id_on_exception(exception, MappingProxyType({"model_info": effective_model_info}))
 
+    @staticmethod
+    def _stamp_retry_skip_deployment_id(exception: Exception, kwargs: Mapping[str, object]) -> None:
+        effective_model_info: Final = kwargs.get("model_info")
+        deployment_id: Final = effective_model_info.get("id") if isinstance(effective_model_info, Mapping) else None
+        if isinstance(deployment_id, str) and deployment_id:
+            exception.retry_skip_deployment_id = deployment_id  # pyright: ignore[reportAttributeAccessIssue]  # dynamic stamp, read by _deployment_ids_to_skip_on_retry
+
     def _update_kwargs_with_default_litellm_params(
         self, kwargs: dict, metadata_variable_name: str | None = "metadata"
     ) -> None:
@@ -4358,6 +4365,7 @@ class Router:
                 model=model,
                 messages=[{"role": "user", "content": "prompt"}],
                 specific_deployment=kwargs.pop("specific_deployment", None),
+                request_kwargs=kwargs,
             )
             self._update_kwargs_with_deployment(deployment=deployment, kwargs=kwargs)
             data: Final = deployment["litellm_params"].copy()
@@ -4388,6 +4396,7 @@ class Router:
             verbose_router_logger.info("litellm.image_generation(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e)
             if model_name is not None:
                 self.fail_calls[model_name] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def aimage_generation(self, prompt: str, model: str, **kwargs):
@@ -4472,6 +4481,7 @@ class Router:
             verbose_router_logger.info("litellm.aimage_generation(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e)
             if model_name is not None:
                 self.fail_calls[model_name] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def atranscription(self, file: FileTypes, model: str, **kwargs):
@@ -4576,6 +4586,7 @@ class Router:
             verbose_router_logger.info("litellm.atranscription(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e)
             if model_name is not None:
                 self.fail_calls[model_name] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def aspeech(self, model: str, input: str, voice: str | None = None, **kwargs):
@@ -4690,6 +4701,7 @@ class Router:
             verbose_router_logger.info("litellm.aspeech(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e)
             if model_name is not None:
                 self.fail_calls[model_name] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def arerank(self, model: str, **kwargs):
@@ -4748,6 +4760,7 @@ class Router:
             verbose_router_logger.info("litellm.arerank(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e)
             if model_name is not None:
                 self.fail_calls[model_name] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     def text_completion(
@@ -4882,6 +4895,7 @@ class Router:
             verbose_router_logger.info("litellm.atext_completion(model=%s)\x1b[31m Exception %s\x1b[0m", model, e)
             if model is not None:
                 self.fail_calls[model] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def aadapter_completion(
@@ -4972,6 +4986,7 @@ class Router:
             verbose_router_logger.info("litellm.aadapter_completion(model=%s)\x1b[31m Exception %s\x1b[0m", model, e)
             if model is not None:
                 self.fail_calls[model] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def _asearch_with_fallbacks(self, original_function: Callable, **kwargs):
@@ -5754,6 +5769,7 @@ class Router:
                 model=model,
                 input=input,
                 specific_deployment=kwargs.pop("specific_deployment", None),
+                request_kwargs=kwargs,
             )
             self._update_kwargs_with_deployment(deployment=deployment, kwargs=kwargs)
             data: Final = deployment["litellm_params"].copy()
@@ -5792,6 +5808,7 @@ class Router:
             verbose_router_logger.info("litellm.embedding(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e)
             if model_name is not None:
                 self.fail_calls[model_name] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def aembedding(
@@ -5879,6 +5896,7 @@ class Router:
             verbose_router_logger.info("litellm.aembedding(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e)
             if model_name is not None:
                 self.fail_calls[model_name] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     #### FILES API ####
@@ -6252,6 +6270,7 @@ class Router:
             )
             if model is not None:
                 self.fail_calls[model] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def aretrieve_batch(
@@ -6472,6 +6491,7 @@ class Router:
             )
             if model is not None:
                 self.fail_calls[model] += 1
+            self._stamp_retry_skip_deployment_id(e, kwargs)
             raise e
 
     async def alist_batches(
@@ -7589,7 +7609,9 @@ class Router:
 
     @staticmethod
     def _deployment_ids_to_skip_on_retry(exception: Exception, already_skipped: object) -> tuple[str, ...]:
-        failed_deployment_id: Final[str | None] = getattr(exception, "failed_deployment_id", None)
+        failed_deployment_id: Final[str | None] = getattr(exception, "retry_skip_deployment_id", None) or getattr(
+            exception, "failed_deployment_id", None
+        )
         status_code: Final = getattr(exception, "status_code", None)
         if not failed_deployment_id or not isinstance(status_code, int):
             return ()
diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py
index 7bfde0def09..bc79c5f6589 100644
--- a/tests/test_litellm/test_router.py
+++ b/tests/test_litellm/test_router.py
@@ -6,6 +6,7 @@ import logging
 import os
 import threading
 from datetime import datetime
+from collections.abc import Awaitable, Callable, Mapping
 from types import SimpleNamespace
 from typing import Final
 from unittest.mock import AsyncMock, MagicMock, patch
@@ -27,6 +28,7 @@ from litellm.llms.bedrock.common_utils import BedrockError
 from litellm.llms.anthropic.experimental_pass_through.messages.agentic_streaming_iterator import (
     SERVER_FULFILLED_TOOL_LEAK_ERROR_SSE_BYTES,
 )
+from litellm.types.llms.openai import ChatCompletionRequest
 from litellm.router import (
     MAX_BUFFERED_PRE_CONTENT_ANTHROPIC_CHUNKS,
     FallbackAwareAnthropicMessagesStream,
@@ -13972,6 +13974,31 @@ def test_router_deployment_ids_to_skip_on_retry(status_code, failed_deployment_i
     assert litellm.Router._deployment_ids_to_skip_on_retry(exception, already_skipped) == expected
 
 
+@pytest.mark.parametrize(
+    "kwargs,failed_deployment_id,expected",
+    [
+        ({"model_info": {"id": "rejecting"}}, None, ("rejecting",)),
+        ({"model_info": {"id": "rejecting"}}, "cooldown-target", ("rejecting",)),
+        ({"model_info": {"id": ""}}, None, ()),
+        ({"model_info": {"id": 7}}, None, ()),
+        ({"model_info": "rejecting"}, None, ()),
+        ({}, None, ()),
+        ({}, "cooldown-target", ("cooldown-target",)),
+    ],
+)
+def test_router_retry_skip_stamp_feeds_deployment_ids_to_skip_on_retry(
+    kwargs: Mapping[str, object], failed_deployment_id: str | None, expected: tuple[str, ...]
+):
+    exception = Exception("upstream refused this request")
+    exception.status_code = 400
+    exception.failed_deployment_id = failed_deployment_id
+
+    litellm.Router._stamp_retry_skip_deployment_id(exception, kwargs)
+
+    assert litellm.Router._deployment_ids_to_skip_on_retry(exception, None) == expected
+    assert exception.failed_deployment_id == failed_deployment_id
+
+
 @pytest.mark.parametrize(
     "value,expected",
     [
@@ -14165,6 +14192,206 @@ async def test_router_retry_policy_400_never_returns_to_a_deployment_that_alread
     assert response.choices[0].message.content == "hi back"
 
 
+_LIT_7114_CHAT_OK = {
+    "id": "chatcmpl-lit-7114",
+    "object": "chat.completion",
+    "created": 1,
+    "model": "gpt-5.6",
+    "choices": [{"index": 0, "message": {"role": "assistant", "content": "hi back"}, "finish_reason": "stop"}],
+    "usage": {"prompt_tokens": 1, "completion_tokens": 2, "total_tokens": 3},
+}
+_LIT_7114_EMBEDDING_OK = {
+    "object": "list",
+    "data": [{"object": "embedding", "index": 0, "embedding": [0.1]}],
+    "model": "text-embedding-3-large",
+    "usage": {"prompt_tokens": 1, "total_tokens": 1},
+}
+_LIT_7114_IMAGE_OK = {"created": 1, "data": [{"b64_json": "aGk="}]}
+_LIT_7114_BATCH_OK = {
+    "id": "batch_lit_7114",
+    "object": "batch",
+    "endpoint": "/v1/chat/completions",
+    "input_file_id": "file-lit-7114",
+    "completion_window": "24h",
+    "status": "validating",
+    "created_at": 1,
+}
+
+
+class _PassthroughAdapter(CustomLogger):
+    def translate_completion_input_params(self, kwargs: ChatCompletionRequest) -> ChatCompletionRequest:
+        return ChatCompletionRequest(**kwargs)
+
+    def translate_completion_output_params(self, response: litellm.ModelResponse) -> litellm.ModelResponse:
+        return response
+
+
+def _lit_7114_router(litellm_model: str) -> litellm.Router:
+    api_base_suffix: Final = "" if litellm_model.startswith("cohere/") else "/v1"
+    return litellm.Router(
+        model_list=[
+            {
+                "model_name": "gpt-5.6",
+                "litellm_params": {
+                    "model": litellm_model,
+                    "api_key": "sk-fake",
+                    "api_base": f"https://{host}.local{api_base_suffix}",
+                    "weight": weight,
+                },
+                "model_info": {"id": host},
+            }
+            for host, weight in (("rejecting", 1), ("accepting", 0))
+        ],
+        num_retries=2,
+        retry_policy={"BadRequestErrorRetries": 2},
+        disable_cooldowns=True,
+    )
+
+
+def _lit_7114_mock_upstreams(
+    respx_mock: respx.MockRouter, path: str, refusal_status: int, success_body: Mapping[str, object] | bytes
+) -> tuple[respx.Route, respx.Route]:
+    ok_response: Final = (
+        httpx.Response(200, content=success_body)
+        if isinstance(success_body, bytes)
+        else httpx.Response(200, json=success_body)
+    )
+    rejecting: Final = respx_mock.post(f"https://rejecting.local{path}").mock(
+        return_value=httpx.Response(
+            refusal_status, json={"error": _UPSTREAM_400, "message": "upstream refused this request"}
+        )
+    )
+    accepting: Final = respx_mock.post(f"https://accepting.local{path}").mock(return_value=ok_response)
+    return rejecting, accepting
+
+
+_LIT_7114_ASYNC_ENTRYPOINTS: Final[
+    Mapping[str, tuple[str, str, int, Mapping[str, object] | bytes, Callable[[litellm.Router], Awaitable[object]]]]
+] = {
+    "aembedding": (
+        "openai/text-embedding-3-large",
+        "/v1/embeddings",
+        400,
+        _LIT_7114_EMBEDDING_OK,
+        lambda router: router.aembedding(model="gpt-5.6", input="hi"),
+    ),
+    "aimage_generation": (
+        "openai/gpt-image-1",
+        "/v1/images/generations",
+        400,
+        _LIT_7114_IMAGE_OK,
+        lambda router: router.aimage_generation(model="gpt-5.6", prompt="a cat"),
+    ),
+    "atext_completion": (
+        "text-completion-openai/gpt-3.5-turbo-instruct",
+        "/v1/completions",
+        400,
+        {"id": "c", "object": "text_completion", "created": 1, "model": "i", "choices": [{"text": "hi", "index": 0}]},
+        lambda router: router.atext_completion(model="gpt-5.6", prompt="hi"),
+    ),
+    "aspeech": (
+        "openai/gpt-4o-mini-tts",
+        "/v1/audio/speech",
+        400,
+        b"RIFF",
+        lambda router: router.aspeech(model="gpt-5.6", input="hi", voice="alloy"),
+    ),
+    "atranscription": (
+        "openai/gpt-4o-transcribe",
+        "/v1/audio/transcriptions",
+        400,
+        {"text": "hi"},
+        lambda router: router.atranscription(model="gpt-5.6", file=("hi.wav", b"RIFF", "audio/wav")),
+    ),
+    "arerank": (
+        "cohere/rerank-v3.5",
+        "/v2/rerank",
+        400,
+        {"id": "r", "results": [{"index": 0, "relevance_score": 0.9}], "meta": {}},
+        lambda router: router.arerank(model="gpt-5.6", query="hi", documents=["hi"]),
+    ),
+    "aadapter_completion": (
+        "openai/gpt-5.6",
+        "/v1/chat/completions",
+        400,
+        _LIT_7114_CHAT_OK,
+        lambda router: router.aadapter_completion(
+            adapter_id="lit-7114", model="gpt-5.6", messages=[{"role": "user", "content": "hi"}]
+        ),
+    ),
+    "acreate_batch": (
+        "openai/gpt-5.6",
+        "/v1/batches",
+        401,
+        _LIT_7114_BATCH_OK,
+        lambda router: router.acreate_batch(
+            model="gpt-5.6", completion_window="24h", endpoint="/v1/chat/completions", input_file_id="file-lit-7114"
+        ),
+    ),
+    "acancel_batch": (
+        "openai/gpt-5.6",
+        "/v1/batches/batch_lit_7114/cancel",
+        401,
+        {**_LIT_7114_BATCH_OK, "status": "cancelling"},
+        lambda router: router.acancel_batch(model="gpt-5.6", batch_id="batch_lit_7114"),
+    ),
+}
+
+
+@pytest.mark.parametrize("entrypoint", sorted(_LIT_7114_ASYNC_ENTRYPOINTS))
+@pytest.mark.asyncio
+async def test_router_retry_moves_off_the_refusing_deployment_on_every_async_entrypoint(
+    monkeypatch: pytest.MonkeyPatch, entrypoint: str
+):
+    litellm_model, path, refusal_status, success_body, call = _LIT_7114_ASYNC_ENTRYPOINTS[entrypoint]
+    monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
+    monkeypatch.setattr(litellm, "adapters", [{"id": "lit-7114", "adapter": _PassthroughAdapter()}])
+    router: Final = _lit_7114_router(litellm_model)
+
+    with respx.mock as respx_mock:
+        rejecting, accepting = _lit_7114_mock_upstreams(respx_mock, path, refusal_status, success_body)
+        response: Final = await call(router)
+
+    assert response is not None
+    assert rejecting.call_count == 1
+    assert accepting.call_count == 1
+
+
+_LIT_7114_SYNC_ENTRYPOINTS: Final[
+    Mapping[str, tuple[str, str, Mapping[str, object], Callable[[litellm.Router], object]]]
+] = {
+    "embedding": (
+        "openai/text-embedding-3-large",
+        "/v1/embeddings",
+        _LIT_7114_EMBEDDING_OK,
+        lambda router: router.embedding(model="gpt-5.6", input="hi"),
+    ),
+    "image_generation": (
+        "openai/gpt-image-1",
+        "/v1/images/generations",
+        _LIT_7114_IMAGE_OK,
+        lambda router: router.image_generation(model="gpt-5.6", prompt="a cat"),
+    ),
+}
+
+
+@pytest.mark.parametrize("entrypoint", sorted(_LIT_7114_SYNC_ENTRYPOINTS))
+def test_router_retry_policy_400_moves_off_the_refusing_deployment_on_every_sync_entrypoint(
+    monkeypatch: pytest.MonkeyPatch, entrypoint: str
+):
+    litellm_model, path, success_body, call = _LIT_7114_SYNC_ENTRYPOINTS[entrypoint]
+    monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
+    router: Final = _lit_7114_router(litellm_model)
+
+    with respx.mock as respx_mock:
+        rejecting, accepting = _lit_7114_mock_upstreams(respx_mock, path, 400, success_body)
+        response: Final = call(router)
+
+    assert response is not None
+    assert rejecting.call_count == 1
+    assert accepting.call_count == 1
+
+
 def _make_failure_logging_obj():
     return LiteLLMLogging(
         model="gpt-5.6",

From 6d58102bd77be48a1d2d532bce64c8b982923759 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 15:54:13 -0700
Subject: [PATCH 145/223] fix(ui): retain compatible build and test commands

---
 .github/workflows/test-litellm-ui-unit.yml | 4 ++--
 ui/litellm-dashboard/next.config.mjs       | 3 +++
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/test-litellm-ui-unit.yml b/.github/workflows/test-litellm-ui-unit.yml
index cd58f861a87..b93bf84320d 100644
--- a/.github/workflows/test-litellm-ui-unit.yml
+++ b/.github/workflows/test-litellm-ui-unit.yml
@@ -66,7 +66,7 @@ jobs:
           BASE_SHA: ${{ github.event.pull_request.base.sha }}
           HEAD_SHA: ${{ github.event.pull_request.head.sha }}
         run: |
-          full_suite() { npm run test -- --run --pool forks --poolOptions.forks.maxForks=14; }
+          full_suite() { npm run test -- --run --pool forks --maxWorkers=14; }
 
           if [ -z "$BASE_SHA" ]; then
             echo "Push to $GITHUB_REF_NAME: running the full suite"
@@ -95,4 +95,4 @@ jobs:
 
           echo "Pull request: running tests related to ${#changed_files[@]} changed UI files"
           npm run test -- related "${changed_files[@]}" --run --passWithNoTests \
-            --pool forks --poolOptions.forks.maxForks=14
+            --pool forks --maxWorkers=14
diff --git a/ui/litellm-dashboard/next.config.mjs b/ui/litellm-dashboard/next.config.mjs
index 876df2b49cf..128ce0a84a7 100644
--- a/ui/litellm-dashboard/next.config.mjs
+++ b/ui/litellm-dashboard/next.config.mjs
@@ -7,6 +7,9 @@ const __dirname = path.dirname(__filename);
 
 const nextConfig = {
   output: "export",
+  experimental: {
+    useTypeScriptCli: false,
+  },
   compiler: {
     removeConsole: process.env.NODE_ENV === "production" ? { exclude: ["error", "warn"] } : false,
   },

From c6a938731998779f48a086551dd9caa7fea71dcf Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 15:54:31 -0700
Subject: [PATCH 146/223] fix(proxy): default max_idle_connection_lifetime on
 componentized DB URLs (#40285)

* fix(proxy): default max_idle_connection_lifetime on componentized DB URLs

DatabaseURLSettings.apply_to_env() now appends max_idle_connection_lifetime=60
(or DATABASE_MAX_IDLE_CONNECTION_LIFETIME) to DATABASE_URL and DIRECT_URL before
the reader inherits the writer's connection params, so the gateway, backend and
migrations entrypoints get the same idle-connection reaping as the classic CLI.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): keep DB URL connection params across IAM/Entra token refresh

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: retrigger proxy-infra after process-tree test flake

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/proxy/db/db_url_settings.py           |  10 ++
 litellm/proxy/db/prisma_client.py             |   6 +-
 .../proxy/db/test_db_url_settings.py          | 152 +++++++++++++++---
 .../proxy/db/test_prisma_client.py            |  50 ++++++
 4 files changed, 192 insertions(+), 26 deletions(-)

diff --git a/litellm/proxy/db/db_url_settings.py b/litellm/proxy/db/db_url_settings.py
index f28e505246a..4a0231ad9df 100644
--- a/litellm/proxy/db/db_url_settings.py
+++ b/litellm/proxy/db/db_url_settings.py
@@ -64,6 +64,7 @@ DISABLE_PREPARED_STATEMENTS_ENV_VAR: Final = "DATABASE_DISABLE_PREPARED_STATEMEN
 DisablePreparedStatementsFlag = Annotated[
     bool, BeforeValidator(partial(token_auth_flag_enabled, env_var=DISABLE_PREPARED_STATEMENTS_ENV_VAR))
 ]
+MAX_IDLE_CONNECTION_LIFETIME_ENV_VAR: Final = "DATABASE_MAX_IDLE_CONNECTION_LIFETIME"
 
 # schema.prisma pins `provider = "postgresql"`, so these are the only schemes
 # Prisma can actually connect with.
@@ -217,6 +218,9 @@ class DatabaseURLSettings(BaseSettings):
     disable_prepared_statements: DisablePreparedStatementsFlag = Field(
         default=False, validation_alias=DISABLE_PREPARED_STATEMENTS_ENV_VAR
     )
+    max_idle_connection_lifetime: int | None = Field(
+        default=None, validation_alias=MAX_IDLE_CONNECTION_LIFETIME_ENV_VAR
+    )
 
     # Writer
     database_url: str | None = Field(default=None, validation_alias="DATABASE_URL")
@@ -453,6 +457,12 @@ class DatabaseURLSettings(BaseSettings):
                 if url:
                     os.environ[env_var] = add_missing_query_params(url, MappingProxyType({"pgbouncer": "true"}))
 
+        lifetime_params: Final = idle_lifetime_params(self.max_idle_connection_lifetime)
+        for env_var in ("DATABASE_URL", "DIRECT_URL"):
+            url = os.environ.get(env_var)
+            if url:
+                os.environ[env_var] = add_missing_query_params(url, lifetime_params)
+
         # The reader inherits the writer's connection params (pool size, timeouts,
         # pgbouncer mode). Without this the reader pool ignores the configured cap
         # and falls back to Prisma's `num_physical_cpus * 2 + 1` default.
diff --git a/litellm/proxy/db/prisma_client.py b/litellm/proxy/db/prisma_client.py
index 9ea2432f2f5..21b73f27a80 100644
--- a/litellm/proxy/db/prisma_client.py
+++ b/litellm/proxy/db/prisma_client.py
@@ -16,6 +16,7 @@ from datetime import datetime, timedelta
 from typing import Any, Final, Protocol
 
 from litellm._logging import verbose_proxy_logger
+from litellm.proxy.db.db_url_settings import add_missing_query_params, connection_params_from_url
 from litellm.proxy.db.token_auth import (
     DEFAULT_POSTGRES_PORT,
     DatabaseTokenAuth,
@@ -438,7 +439,10 @@ class PrismaWrapper:
             return None
 
         endpoint: Final = self._iam_endpoint if self._iam_endpoint is not None else self._endpoint_from_env()
-        db_url: Final = endpoint.build_url(mint_database_token(auth, endpoint))
+        db_url: Final = add_missing_query_params(
+            endpoint.build_url(mint_database_token(auth, endpoint)),
+            connection_params_from_url(os.environ.get(self._db_url_env_var, "")),
+        )
         os.environ[self._db_url_env_var] = db_url
         return db_url
 
diff --git a/tests/test_litellm/proxy/db/test_db_url_settings.py b/tests/test_litellm/proxy/db/test_db_url_settings.py
index db524625a93..ba342342366 100644
--- a/tests/test_litellm/proxy/db/test_db_url_settings.py
+++ b/tests/test_litellm/proxy/db/test_db_url_settings.py
@@ -35,6 +35,7 @@ _MANAGED_DB_ENV_VARS = (
     "IAM_TOKEN_DB_AUTH",
     "AZURE_POSTGRESQL_AUTH",
     "DATABASE_DISABLE_PREPARED_STATEMENTS",
+    "DATABASE_MAX_IDLE_CONNECTION_LIFETIME",
     "DATABASE_URL",
     "DIRECT_URL",
     "DATABASE_URL_READ_REPLICA",
@@ -111,7 +112,7 @@ def test_assembles_writer_url_when_iam_enabled(monkeypatch):
 
     assert (
         os.environ["DATABASE_URL"]
-        == "postgresql://litellm:WRITER_TOKEN@writer.example.com:5432/litellm_db"
+        == "postgresql://litellm:WRITER_TOKEN@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
     # Reader was never configured, so it must not have been set.
     assert "DATABASE_URL_READ_REPLICA" not in os.environ
@@ -130,7 +131,9 @@ def test_a_pre_encoded_iam_user_survives_url_assembly(monkeypatch):
     with _stub_iam_token("WRITER_TOKEN"):
         assert _apply() is True
 
-    assert os.environ["DATABASE_URL"] == "postgresql://svc%40corp:WRITER_TOKEN@writer.example.com:5432/litellm_db"
+    assert os.environ["DATABASE_URL"] == (
+        "postgresql://svc%40corp:WRITER_TOKEN@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
+    )
 
 
 def test_an_unreadable_toggle_fails_the_settings_model(monkeypatch):
@@ -168,7 +171,7 @@ def test_reader_url_assembled_when_host_set_and_url_unset(monkeypatch):
 
     assert (
         os.environ["DATABASE_URL_READ_REPLICA"]
-        == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db"
+        == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -191,7 +194,7 @@ def test_reader_url_not_clobbered_when_already_set(monkeypatch):
 
     assert (
         os.environ["DATABASE_URL_READ_REPLICA"]
-        == "postgresql://app:secret@reader.example.com:5432/litellm_db"
+        == "postgresql://app:secret@reader.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -222,7 +225,8 @@ def test_reader_field_fallbacks_default_to_writer_values(monkeypatch):
 
     assert (
         os.environ["DATABASE_URL_READ_REPLICA"]
-        == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db?schema=public"
+        == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db"
+        "?schema=public&max_idle_connection_lifetime=60"
     )
 
 
@@ -242,7 +246,7 @@ def test_assembles_writer_url_when_azure_entra_enabled(monkeypatch):
 
     assert os.environ["DATABASE_URL"] == (
         "postgresql://litellm%40contoso.onmicrosoft.com:ENTRA_TOKEN"
-        "@writer.postgres.database.azure.com:5432/litellm_db"
+        "@writer.postgres.database.azure.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
     assert os.environ["AZURE_POSTGRESQL_AUTH"] == "True"
     assert "IAM_TOKEN_DB_AUTH" not in os.environ
@@ -261,7 +265,7 @@ def test_azure_reader_url_assembled_from_writer_fallbacks(monkeypatch):
 
     assert os.environ["DATABASE_URL_READ_REPLICA"] == (
         "postgresql://litellm%40contoso.onmicrosoft.com:ENTRA_TOKEN"
-        "@reader.postgres.database.azure.com:5432/litellm_db?schema=public"
+        "@reader.postgres.database.azure.com:5432/litellm_db?schema=public&max_idle_connection_lifetime=60"
     )
 
 
@@ -357,7 +361,7 @@ def test_assembles_writer_url_from_password(monkeypatch):
     assert _apply() is True
     assert (
         os.environ["DATABASE_URL"]
-        == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db"
+        == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -370,7 +374,7 @@ def test_writer_password_is_percent_encoded(monkeypatch):
     assert _apply() is True
     assert (
         os.environ["DATABASE_URL"]
-        == "postgresql://litellm:p%40ss%2Fw%3Ard@writer.example.com:5432/litellm_db"
+        == "postgresql://litellm:p%40ss%2Fw%3Ard@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -388,7 +392,7 @@ def test_writer_url_not_clobbered_when_already_set(monkeypatch):
     assert _apply() is False
     assert (
         os.environ["DATABASE_URL"]
-        == "postgresql://pinned:url@db.example.com:5432/litellm_db"
+        == "postgresql://pinned:url@db.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -400,7 +404,7 @@ def test_writer_url_passwordless(monkeypatch):
     assert _apply() is True
     assert (
         os.environ["DATABASE_URL"]
-        == "postgresql://litellm@writer.example.com:5432/litellm_db"
+        == "postgresql://litellm@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -415,7 +419,7 @@ def test_database_username_alias(monkeypatch):
     assert _apply() is True
     assert (
         os.environ["DATABASE_URL"]
-        == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db"
+        == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -429,7 +433,7 @@ def test_password_reader_falls_back_to_writer_password(monkeypatch):
     assert _apply() is True
     assert (
         os.environ["DATABASE_URL_READ_REPLICA"]
-        == "postgresql://litellm:s3cr3t@reader.example.com:5432/litellm_db"
+        == "postgresql://litellm:s3cr3t@reader.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -445,7 +449,7 @@ def test_password_reader_uses_own_credentials(monkeypatch):
     assert _apply() is True
     assert (
         os.environ["DATABASE_URL_READ_REPLICA"]
-        == "postgresql://litellm_ro:ro_pw@reader.example.com:5432/litellm_db"
+        == "postgresql://litellm_ro:ro_pw@reader.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
     )
 
 
@@ -641,19 +645,19 @@ def test_reader_keeps_its_own_options_when_writer_params_are_appended(monkeypatc
     assert query["connection_limit"] == ["3"]
 
 
-def test_reader_url_left_alone_when_writer_has_no_params(monkeypatch):
+def test_reader_url_left_alone_when_nothing_is_missing(monkeypatch):
     """No params to inherit must mean the reader URL is not rewritten at all."""
     monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db")
     monkeypatch.setenv(
         "DATABASE_URL_READ_REPLICA",
-        "postgresql://u:p@reader.example.com:5432/db?options=-c%20search_path%3Dapp",
+        "postgresql://u:p@reader.example.com:5432/db?options=-c%20search_path%3Dapp&max_idle_connection_lifetime=45",
     )
 
     _apply()
 
     assert (
         os.environ["DATABASE_URL_READ_REPLICA"]
-        == "postgresql://u:p@reader.example.com:5432/db?options=-c%20search_path%3Dapp"
+        == "postgresql://u:p@reader.example.com:5432/db?options=-c%20search_path%3Dapp&max_idle_connection_lifetime=45"
     )
 
 
@@ -671,7 +675,7 @@ def test_disable_prepared_statements_appends_pgbouncer_to_assembled_writer(monke
 
     assert _apply() is True
     assert os.environ["DATABASE_URL"] == (
-        "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db?pgbouncer=true"
+        "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db?pgbouncer=true&max_idle_connection_lifetime=60"
     )
     assert "DIRECT_URL" not in os.environ
 
@@ -685,7 +689,9 @@ def test_disable_prepared_statements_appends_pgbouncer_to_pinned_writer(monkeypa
     monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db")
 
     assert _apply() is False
-    assert os.environ["DATABASE_URL"] == "postgresql://u:p@db.example.com:5432/litellm_db?pgbouncer=true"
+    assert os.environ["DATABASE_URL"] == (
+        "postgresql://u:p@db.example.com:5432/litellm_db?pgbouncer=true&max_idle_connection_lifetime=60"
+    )
 
 
 def test_disable_prepared_statements_respects_a_pinned_pgbouncer_value(monkeypatch):
@@ -694,7 +700,9 @@ def test_disable_prepared_statements_respects_a_pinned_pgbouncer_value(monkeypat
 
     _apply()
 
-    assert os.environ["DATABASE_URL"] == "postgresql://u:p@db.example.com:5432/litellm_db?pgbouncer=false"
+    assert os.environ["DATABASE_URL"] == (
+        "postgresql://u:p@db.example.com:5432/litellm_db?pgbouncer=false&max_idle_connection_lifetime=60"
+    )
 
 
 def test_disable_prepared_statements_applies_to_direct_url(monkeypatch):
@@ -704,7 +712,9 @@ def test_disable_prepared_statements_applies_to_direct_url(monkeypatch):
 
     _apply()
 
-    assert os.environ["DIRECT_URL"] == "postgresql://u:p@direct.example.com:5432/litellm_db?pgbouncer=true"
+    assert os.environ["DIRECT_URL"] == (
+        "postgresql://u:p@direct.example.com:5432/litellm_db?pgbouncer=true&max_idle_connection_lifetime=60"
+    )
 
 
 def test_reader_inherits_pgbouncer_from_disable_prepared_statements(monkeypatch):
@@ -724,7 +734,9 @@ def test_disable_prepared_statements_off_leaves_urls_alone(monkeypatch):
 
     _apply()
 
-    assert os.environ["DATABASE_URL"] == "postgresql://u:p@db.example.com:5432/litellm_db"
+    assert os.environ["DATABASE_URL"] == (
+        "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
+    )
 
 
 def test_disable_prepared_statements_rejects_an_unreadable_value(monkeypatch):
@@ -760,6 +772,7 @@ def test_libpq_verify_full_and_sslrootcert_become_prisma_strict_sslcert(monkeypa
         "sslmode": ["require"],
         "sslcert": ["/certs/rds-bundle.pem"],
         "sslaccept": ["strict"],
+        "max_idle_connection_lifetime": ["60"],
     }
 
 
@@ -768,7 +781,11 @@ def test_libpq_verify_ca_becomes_prisma_strict(monkeypatch):
 
     _apply()
 
-    assert _query(os.environ["DATABASE_URL"]) == {"sslmode": ["require"], "sslaccept": ["strict"]}
+    assert _query(os.environ["DATABASE_URL"]) == {
+        "sslmode": ["require"],
+        "sslaccept": ["strict"],
+        "max_idle_connection_lifetime": ["60"],
+    }
 
 
 def test_sslrootcert_alone_turns_on_strict_verification(monkeypatch):
@@ -784,6 +801,7 @@ def test_sslrootcert_alone_turns_on_strict_verification(monkeypatch):
         "sslmode": ["require"],
         "sslcert": ["/certs/ca.pem"],
         "sslaccept": ["strict"],
+        "max_idle_connection_lifetime": ["60"],
     }
 
 
@@ -800,11 +818,15 @@ def test_pinned_prisma_ssl_params_win_over_libpq_translation(monkeypatch):
         "sslmode": ["require"],
         "sslcert": ["/pinned.pem"],
         "sslaccept": ["accept_invalid_certs"],
+        "max_idle_connection_lifetime": ["60"],
     }
 
 
 def test_prisma_native_ssl_url_is_left_untouched(monkeypatch):
-    url = "postgresql://u:p@db.example.com:5432/litellm_db?sslmode=require&sslcert=/certs/ca.pem&sslaccept=strict"
+    url = (
+        "postgresql://u:p@db.example.com:5432/litellm_db"
+        "?sslmode=require&sslcert=/certs/ca.pem&sslaccept=strict&max_idle_connection_lifetime=60"
+    )
     monkeypatch.setenv("DATABASE_URL", url)
 
     _apply()
@@ -820,4 +842,84 @@ def test_libpq_ssl_translation_covers_direct_url_and_read_replica(monkeypatch):
     _apply()
 
     for env_var in ("DATABASE_URL", "DIRECT_URL", "DATABASE_URL_READ_REPLICA"):
-        assert _query(os.environ[env_var]) == {"sslmode": ["require"], "sslaccept": ["strict"]}, env_var
+        assert _query(os.environ[env_var]) == {
+            "sslmode": ["require"],
+            "sslaccept": ["strict"],
+            "max_idle_connection_lifetime": ["60"],
+        }, env_var
+
+
+def test_default_idle_lifetime_applied_to_pinned_writer_and_direct_url(monkeypatch):
+    monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db")
+    monkeypatch.setenv("DIRECT_URL", "postgresql://u:p@direct.example.com:5432/litellm_db")
+
+    assert _apply() is False
+
+    assert os.environ["DATABASE_URL"] == (
+        "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
+    )
+    assert os.environ["DIRECT_URL"] == (
+        "postgresql://u:p@direct.example.com:5432/litellm_db?max_idle_connection_lifetime=60"
+    )
+
+
+def test_url_pinned_idle_lifetime_wins_over_default_and_env_knob(monkeypatch):
+    monkeypatch.setenv("DATABASE_MAX_IDLE_CONNECTION_LIFETIME", "45")
+    monkeypatch.setenv(
+        "DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=300"
+    )
+
+    _apply()
+
+    assert os.environ["DATABASE_URL"] == (
+        "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=300"
+    )
+
+
+def test_env_knob_overrides_default_idle_lifetime(monkeypatch):
+    monkeypatch.setenv("DATABASE_MAX_IDLE_CONNECTION_LIFETIME", "45")
+    monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db")
+    monkeypatch.setenv("DIRECT_URL", "postgresql://u:p@direct.example.com:5432/litellm_db")
+
+    _apply()
+
+    assert os.environ["DATABASE_URL"] == (
+        "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=45"
+    )
+    assert os.environ["DIRECT_URL"] == (
+        "postgresql://u:p@direct.example.com:5432/litellm_db?max_idle_connection_lifetime=45"
+    )
+
+
+def test_env_knob_rejects_a_non_integer_value(monkeypatch):
+    monkeypatch.setenv("DATABASE_MAX_IDLE_CONNECTION_LIFETIME", "soon")
+
+    with pytest.raises(ValidationError, match="DATABASE_MAX_IDLE_CONNECTION_LIFETIME"):
+        DatabaseURLSettings.from_env()
+
+
+@pytest.mark.parametrize(("knob", "expected"), [(None, "60"), ("45", "45")])
+def test_reader_inherits_the_writer_idle_lifetime(monkeypatch, knob, expected):
+    if knob is not None:
+        monkeypatch.setenv("DATABASE_MAX_IDLE_CONNECTION_LIFETIME", knob)
+    monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db")
+    monkeypatch.setenv("DATABASE_URL_READ_REPLICA", "postgresql://u:p@reader.example.com:5432/db")
+
+    _apply()
+
+    assert os.environ["DATABASE_URL_READ_REPLICA"] == (
+        f"postgresql://u:p@reader.example.com:5432/db?max_idle_connection_lifetime={expected}"
+    )
+
+
+def test_reader_keeps_its_own_pinned_idle_lifetime(monkeypatch):
+    monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db")
+    monkeypatch.setenv(
+        "DATABASE_URL_READ_REPLICA", "postgresql://u:p@reader.example.com:5432/db?max_idle_connection_lifetime=120"
+    )
+
+    _apply()
+
+    assert os.environ["DATABASE_URL_READ_REPLICA"] == (
+        "postgresql://u:p@reader.example.com:5432/db?max_idle_connection_lifetime=120"
+    )
diff --git a/tests/test_litellm/proxy/db/test_prisma_client.py b/tests/test_litellm/proxy/db/test_prisma_client.py
index 7f43e483557..963f6a5640f 100644
--- a/tests/test_litellm/proxy/db/test_prisma_client.py
+++ b/tests/test_litellm/proxy/db/test_prisma_client.py
@@ -291,6 +291,56 @@ def test_azure_entra_mint_writes_an_encoded_url_into_the_db_url_env_var(azure_en
     assert os.environ["DATABASE_URL"] == db_url
 
 
+@pytest.mark.parametrize(
+    ("previous_query", "expected_query"),
+    [
+        ("max_idle_connection_lifetime=60", {"max_idle_connection_lifetime": ["60"]}),
+        (
+            "connection_limit=20&pgbouncer=true&max_idle_connection_lifetime=45",
+            {"connection_limit": ["20"], "pgbouncer": ["true"], "max_idle_connection_lifetime": ["45"]},
+        ),
+    ],
+)
+def test_token_refresh_keeps_the_connection_params_of_the_url_it_replaces(
+    azure_env, monkeypatch, previous_query, expected_query
+):
+    old_token = _entra_jwt(60)
+    monkeypatch.setenv(
+        "DATABASE_URL",
+        f"postgresql://litellm%40contoso.onmicrosoft.com:{urllib.parse.quote(old_token, safe='')}"
+        f"@pg.postgres.database.azure.com:5432/litellm_db?{previous_query}",
+    )
+    new_token = _entra_jwt(3600)
+
+    db_url = _azure_wrapper(new_token).get_rds_iam_token()
+
+    assert db_url is not None
+    assert os.environ["DATABASE_URL"] == db_url
+    assert urllib.parse.quote(new_token, safe="") in db_url
+    assert urllib.parse.parse_qs(urllib.parse.urlsplit(db_url).query) == expected_query
+
+
+def test_token_refresh_keeps_the_reader_url_params_separate_from_the_writer(azure_env, monkeypatch):
+    from litellm.proxy.db.token_auth import IAMEndpoint
+
+    monkeypatch.setenv("DATABASE_URL", "postgresql://w:t@pg:5432/litellm_db?max_idle_connection_lifetime=45")
+    monkeypatch.setenv(
+        "DATABASE_URL_READ_REPLICA", "postgresql://r:t@replica:5432/litellm_db?max_idle_connection_lifetime=60"
+    )
+    reader = _azure_wrapper(
+        _entra_jwt(3600),
+        db_url_env_var="DATABASE_URL_READ_REPLICA",
+        iam_endpoint=IAMEndpoint(host="replica", port="5432", user="r", name="litellm_db", schema=None),
+    )
+
+    reader_url = reader.get_rds_iam_token()
+
+    assert reader_url is not None
+    assert reader_url.startswith("postgresql://r:")
+    assert urllib.parse.parse_qs(urllib.parse.urlsplit(reader_url).query) == {"max_idle_connection_lifetime": ["60"]}
+    assert os.environ["DATABASE_URL"].endswith("?max_idle_connection_lifetime=45")
+
+
 def test_azure_entra_refresh_is_scheduled_off_the_jwt_expiry(azure_env):
     """Without reading `exp` this falls back to a fixed 600s interval, which silently
     outlives a token and breaks every reconnect after it lapses (issue #29661)."""

From 4b9c289a7219400317ec41e4dc2816ba7559a542 Mon Sep 17 00:00:00 2001
From: Yassin Kortam <yassin@berri.ai>
Date: Tue, 8 Sep 2026 15:56:52 -0700
Subject: [PATCH 147/223] fix(a2a): forward caller identity headers on
 message/send and message/stream (#40305)

* fix(a2a): forward caller identity headers on message/send and message/stream

_forwarding_headers() stamped X-LiteLLM-User-Id/-Team-Id from the authenticated
caller, but was only wired into the tasks/* and tasks/resubscribe branches. The
primary message/send and message/stream conversational path forwarded
agent_extra_headers unchanged, so a downstream agent never learned which end
user was calling it except on secondary task-management calls. This broke
per-user MCP scoping and per-customer FinOps budget enforcement for any agent
invoked through the normal conversational flow.

Resolves LIT-7342

* fix(a2a): snapshot key-bound caller identity before pre-call processing

user_header_mappings lets add_litellm_data_to_request rewrite
user_api_key_dict.user_id from a client header, so the identity stamped
onto X-LiteLLM-User-Id is now captured before that step runs. Header
tests updated to expect the caller identity on message/send.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(a2a): drop redundant docstrings from message identity tests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(a2a): type the message method test helpers

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(a2a): make message method test helpers immutable

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../proxy/agent_endpoints/a2a_endpoints.py    |  62 +++---
 .../agent_endpoints/test_a2a_endpoints.py     | 187 ++++++++++++------
 .../agent_endpoints/test_agent_headers.py     |  10 +-
 3 files changed, 164 insertions(+), 95 deletions(-)

diff --git a/litellm/proxy/agent_endpoints/a2a_endpoints.py b/litellm/proxy/agent_endpoints/a2a_endpoints.py
index 28882484db4..95c34f70d7b 100644
--- a/litellm/proxy/agent_endpoints/a2a_endpoints.py
+++ b/litellm/proxy/agent_endpoints/a2a_endpoints.py
@@ -144,31 +144,32 @@ def _validate_push_notification_url(url: str) -> None:
         raise HTTPException(status_code=400, detail=str(e)) from e
 
 
-def _caller_identity_headers(user_api_key_dict: UserAPIKeyAuth) -> dict[str, str]:
-    headers: Final[dict[str, str]] = {}
-    if user_api_key_dict.user_id:
-        headers["X-LiteLLM-User-Id"] = user_api_key_dict.user_id
-    if user_api_key_dict.team_id:
-        headers["X-LiteLLM-Team-Id"] = user_api_key_dict.team_id
-    return headers
+def _caller_identity_headers(user_api_key_dict: UserAPIKeyAuth) -> Mapping[str, str]:
+    return MappingProxyType(
+        {
+            name: value
+            for name, value in (
+                ("X-LiteLLM-User-Id", user_api_key_dict.user_id),
+                ("X-LiteLLM-Team-Id", user_api_key_dict.team_id),
+            )
+            if value
+        }
+    )
 
 
 def _forwarding_headers(
-    user_api_key_dict: UserAPIKeyAuth,
+    caller_identity: Mapping[str, str],
     request_data: Mapping[str, object],
     agent_extra_headers: Mapping[str, str] | None,
-) -> Mapping[str, str] | None:
-    sanitized: Final = (
-        {k: v for k, v in agent_extra_headers.items() if not k.lower().startswith("x-litellm-")}
-        if agent_extra_headers
-        else None
+) -> dict[str, str] | None:
+    passthrough: Final = tuple(
+        (name, value)
+        for name, value in (agent_extra_headers.items() if agent_extra_headers else ())
+        if not name.lower().startswith("x-litellm-")
     )
-    merged: Final = merge_agent_headers(dynamic_headers=sanitized, static_headers=None) or {}
-    identity: Final = _caller_identity_headers(user_api_key_dict)
     trace_id: Final = request_data.get("litellm_trace_id")
-    if trace_id:
-        identity["X-LiteLLM-Trace-Id"] = str(trace_id)
-    merged.update(identity)
+    trace: Final = (("X-LiteLLM-Trace-Id", str(trace_id)),) if trace_id else ()
+    merged: Final = dict((*passthrough, *caller_identity.items(), *trace))
     return merged or None
 
 
@@ -755,6 +756,7 @@ async def invoke_agent_a2a(
             ProxyBaseLLMRequestProcessing,
         )
 
+        caller_identity: Final = _caller_identity_headers(user_api_key_dict)
         processor: Final = ProxyBaseLLMRequestProcessing(data=body)
         data, logging_obj = await processor.common_processing_pre_call_logic(
             request=request,
@@ -793,9 +795,13 @@ async def invoke_agent_a2a(
                     if header_name:
                         dynamic_headers[header_name] = val
 
-        agent_extra_headers = merge_agent_headers(
-            dynamic_headers=dynamic_headers or None,
-            static_headers=static_headers or None,
+        agent_extra_headers = _forwarding_headers(
+            caller_identity=caller_identity,
+            request_data=data,
+            agent_extra_headers=merge_agent_headers(
+                dynamic_headers=dynamic_headers or None,
+                static_headers=static_headers or None,
+            ),
         )
 
         # Databricks App endpoints require a short-lived OAuth M2M token rather
@@ -942,12 +948,7 @@ async def invoke_agent_a2a(
                 "method": method,
                 "params": params,
             }
-            caller_headers: Final = _forwarding_headers(
-                user_api_key_dict=user_api_key_dict,
-                request_data=data,
-                agent_extra_headers=agent_extra_headers,
-            )
-            result = await _forward_jsonrpc(agent_url, forward_body, extra_headers=caller_headers)
+            result = await _forward_jsonrpc(agent_url, forward_body, extra_headers=agent_extra_headers)
             if method == "agent/getAuthenticatedExtendedCard":
                 card: Final = result.get("result")
                 if isinstance(card, dict):
@@ -988,16 +989,11 @@ async def invoke_agent_a2a(
                 "method": method,
                 "params": params,
             }
-            sse_caller_headers: Final = _forwarding_headers(
-                user_api_key_dict=user_api_key_dict,
-                request_data=data,
-                agent_extra_headers=agent_extra_headers,
-            )
             return await _forward_jsonrpc_sse(
                 agent_url,
                 forward_body,
                 request_id=request_id,
-                extra_headers=sse_caller_headers,
+                extra_headers=agent_extra_headers,
                 proxy_logging_obj=proxy_logging_obj,
                 user_api_key_dict=user_api_key_dict,
                 request_data=data,
diff --git a/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py b/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
index 43034f889f6..e0476361074 100644
--- a/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
+++ b/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
@@ -7,11 +7,24 @@ Tests that invoke_agent_a2a properly integrates with add_litellm_data_to_request
 import json
 import socket
 import sys
-from contextlib import ExitStack
+from collections.abc import Awaitable, Callable, Mapping
+from contextlib import AbstractContextManager, ExitStack
+from dataclasses import dataclass
+from typing import Final
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
 
+from litellm.proxy._types import UserAPIKeyAuth
+
+AddLiteLLMData = Callable[..., Awaitable[dict[str, object]]]
+
+
+@dataclass(frozen=True, slots=True)
+class CapturedAgentCall:
+    request_id: object
+    agent_extra_headers: dict[str, str] | None
+
 
 @pytest.mark.asyncio
 async def test_invoke_agent_a2a_adds_litellm_data():
@@ -364,7 +377,7 @@ def _make_agent_mock(url: str = "http://backend-agent:10001") -> MagicMock:
 
 
 def _make_request_mock(
-    method: str, params: dict, request_id: object = "req-1"
+    method: str, params: Mapping[str, object], request_id: object = "req-1"
 ) -> MagicMock:
     req = MagicMock()
     req.headers = {}
@@ -379,7 +392,9 @@ def _make_request_mock(
     return req
 
 
-def _base_patches(agent: MagicMock):
+def _base_patches(
+    agent: MagicMock, add_litellm_data: AddLiteLLMData | None = None
+) -> list[AbstractContextManager[object]]:
     return [
         patch(
             "litellm.proxy.agent_endpoints.a2a_endpoints._get_agent",
@@ -391,7 +406,7 @@ def _base_patches(agent: MagicMock):
         ),
         patch(
             "litellm.proxy.common_request_processing.add_litellm_data_to_request",
-            new=AsyncMock(side_effect=_add_proxy_data),
+            new=AsyncMock(side_effect=add_litellm_data or _add_proxy_data),
         ),
         patch("litellm.proxy.proxy_server.general_settings", {}),
         patch("litellm.proxy.proxy_server.proxy_config", MagicMock()),
@@ -399,84 +414,67 @@ def _base_patches(agent: MagicMock):
     ]
 
 
-async def _add_proxy_data(data, **kwargs):
-    data["proxy_server_request"] = {
-        "url": "http://localhost:4000",
-        "method": "POST",
-        "headers": {},
-        "body": {},
+async def _add_proxy_data(data: dict[str, object], **kwargs: object) -> dict[str, object]:
+    return {
+        **data,
+        "proxy_server_request": {"url": "http://localhost:4000", "method": "POST", "headers": {}, "body": {}},
+        "metadata": data.get("metadata", {}),
     }
-    data.setdefault("metadata", {})
-    return data
 
 
-@pytest.mark.asyncio
-@pytest.mark.parametrize("method", ["message/send", "message/stream"])
-async def test_message_methods_preserve_numeric_zero_request_id(method: str):
+_HELLO_MESSAGE_PARAMS = {
+    "message": {
+        "role": "user",
+        "parts": [{"kind": "text", "text": "Hello"}],
+        "messageId": "msg-123",
+    }
+}
+
+
+async def _invoke_message_method(
+    method: str,
+    mock_request: MagicMock,
+    user_api_key_dict: UserAPIKeyAuth,
+    add_litellm_data: AddLiteLLMData | None = None,
+) -> CapturedAgentCall:
     from fastapi.responses import JSONResponse
-    from litellm.proxy._types import UserAPIKeyAuth
 
     class MessageSendParams:
-        def __init__(self, **kwargs):
+        def __init__(self, **kwargs: object) -> None:
             self.__dict__.update(kwargs)
 
     class SendMessageRequest:
-        def __init__(self, **kwargs):
+        def __init__(self, **kwargs: object) -> None:
             self.__dict__.update(kwargs)
 
-    agent = _make_agent_mock()
-    params = {
-        "message": {
-            "role": "user",
-            "parts": [{"kind": "text", "text": "Hello"}],
-            "messageId": "msg-123",
-        }
-    }
-    mock_request = _make_request_mock(method, params, request_id=0)
-    user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="u1", team_id="t1")
-    captured = {}
-
-    async def capture_asend_message(request, **kwargs):
-        captured["request_id"] = request.id
-        response = MagicMock()
+    async def fake_asend_message(request: SendMessageRequest, **kwargs: object) -> MagicMock:
+        response: Final = MagicMock()
         response.model_dump.return_value = {
             "jsonrpc": "2.0",
-            "id": request.id,
+            "id": request.__dict__["id"],
             "result": {"status": "success"},
         }
         return response
 
-    async def capture_stream_message(**kwargs):
-        captured["request_id"] = kwargs["request_id"]
-        return JSONResponse({"jsonrpc": "2.0", "id": kwargs["request_id"]})
+    async def fake_stream_message(request_id: object, **kwargs: object) -> JSONResponse:
+        return JSONResponse({"jsonrpc": "2.0", "id": request_id})
 
-    mock_a2a_types = MagicMock()
+    mock_a2a_types: Final = MagicMock()
     mock_a2a_types.MessageSendParams = MessageSendParams
     mock_a2a_types.SendMessageRequest = SendMessageRequest
+    is_send: Final = method == "message/send"
+    downstream: Final = AsyncMock(side_effect=fake_asend_message if is_send else fake_stream_message)
 
     with ExitStack() as stack:
-        for p in _base_patches(agent):
+        for p in _base_patches(_make_agent_mock(), add_litellm_data):
             stack.enter_context(p)
         stack.enter_context(patch("litellm.a2a_protocol.main.A2A_SDK_AVAILABLE", True))
-        if method == "message/send":
-            stack.enter_context(
-                patch.dict(
-                    sys.modules,
-                    {"a2a": MagicMock(), "a2a.types": mock_a2a_types},
-                )
-            )
-            stack.enter_context(
-                patch(
-                    "litellm.a2a_protocol.asend_message",
-                    new=AsyncMock(side_effect=capture_asend_message),
-                )
-            )
+        if is_send:
+            stack.enter_context(patch.dict(sys.modules, {"a2a": MagicMock(), "a2a.types": mock_a2a_types}))
+            stack.enter_context(patch("litellm.a2a_protocol.asend_message", new=downstream))
         else:
             stack.enter_context(
-                patch(
-                    "litellm.proxy.agent_endpoints.a2a_endpoints._handle_stream_message",
-                    new=AsyncMock(side_effect=capture_stream_message),
-                )
+                patch("litellm.proxy.agent_endpoints.a2a_endpoints._handle_stream_message", new=downstream)
             )
 
         from litellm.proxy.agent_endpoints.a2a_endpoints import invoke_agent_a2a
@@ -488,7 +486,82 @@ async def test_message_methods_preserve_numeric_zero_request_id(method: str):
             user_api_key_dict=user_api_key_dict,
         )
 
-    assert captured["request_id"] == 0
+    kwargs: Final = downstream.call_args.kwargs
+    request_id: Final = kwargs["request"].__dict__["id"] if is_send else kwargs["request_id"]
+    return CapturedAgentCall(request_id=request_id, agent_extra_headers=kwargs.get("agent_extra_headers"))
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("method", ["message/send", "message/stream"])
+async def test_message_methods_preserve_numeric_zero_request_id(method: str):
+    mock_request = _make_request_mock(method, _HELLO_MESSAGE_PARAMS, request_id=0)
+    user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="u1", team_id="t1")
+
+    captured = await _invoke_message_method(method, mock_request, user_api_key_dict)
+
+    assert captured.request_id == 0
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("method", ["message/send", "message/stream"])
+async def test_message_methods_forward_caller_identity_headers(method: str):
+    mock_request = _make_request_mock(method, _HELLO_MESSAGE_PARAMS)
+    user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="user-abc", team_id="team-xyz")
+
+    captured = await _invoke_message_method(method, mock_request, user_api_key_dict)
+
+    forwarded_headers = captured.agent_extra_headers or {}
+    assert forwarded_headers.get("X-LiteLLM-User-Id") == "user-abc"
+    assert forwarded_headers.get("X-LiteLLM-Team-Id") == "team-xyz"
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("method", ["message/send", "message/stream"])
+async def test_message_methods_caller_identity_headers_cannot_be_spoofed(method: str):
+    mock_request = _make_request_mock(method, _HELLO_MESSAGE_PARAMS)
+    mock_request.headers = {
+        "x-a2a-test-agent-x-litellm-user-id": "attacker-user",
+        "x-a2a-test-agent-x-litellm-team-id": "attacker-team",
+    }
+    user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="real-user", team_id="real-team")
+
+    captured = await _invoke_message_method(method, mock_request, user_api_key_dict)
+
+    forwarded_headers = captured.agent_extra_headers or {}
+    assert (
+        forwarded_headers.get("X-LiteLLM-User-Id") == "real-user"
+    ), "authenticated user id must not be overridden by forwarded client headers"
+    assert (
+        forwarded_headers.get("X-LiteLLM-Team-Id") == "real-team"
+    ), "authenticated team id must not be overridden by forwarded client headers"
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("method", ["message/send", "message/stream"])
+async def test_message_methods_forward_key_bound_identity_not_pre_call_rewrite(method: str):
+    from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup
+
+    mock_request = _make_request_mock(method, _HELLO_MESSAGE_PARAMS)
+    mock_request.headers = {"X-OpenWebUI-User-Id": "header-mapped-user"}
+    user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="key-user", team_id="key-team")
+    general_settings: Final = {
+        "user_header_mappings": [{"header_name": "X-OpenWebUI-User-Id", "litellm_user_role": "internal_user"}]
+    }
+
+    async def apply_user_header_mapping(data: dict[str, object], **kwargs: object) -> dict[str, object]:
+        LiteLLMProxyRequestSetup.add_internal_user_from_user_mapping(
+            general_settings, user_api_key_dict, dict(mock_request.headers)
+        )
+        return await _add_proxy_data(data, **kwargs)
+
+    captured = await _invoke_message_method(
+        method, mock_request, user_api_key_dict, add_litellm_data=apply_user_header_mapping
+    )
+
+    assert user_api_key_dict.user_id == "header-mapped-user", "precondition: pre-call rewrite ran"
+    forwarded_headers = captured.agent_extra_headers or {}
+    assert forwarded_headers.get("X-LiteLLM-User-Id") == "key-user"
+    assert forwarded_headers.get("X-LiteLLM-Team-Id") == "key-team"
 
 
 @pytest.mark.asyncio
diff --git a/tests/test_litellm/proxy/agent_endpoints/test_agent_headers.py b/tests/test_litellm/proxy/agent_endpoints/test_agent_headers.py
index 15864417489..e894f4ad69a 100644
--- a/tests/test_litellm/proxy/agent_endpoints/test_agent_headers.py
+++ b/tests/test_litellm/proxy/agent_endpoints/test_agent_headers.py
@@ -223,7 +223,7 @@ async def test_static_overrides_dynamic():
 
 @pytest.mark.asyncio
 async def test_no_headers():
-    """When no headers are configured, agent_extra_headers is None and behaviour is unchanged."""
+    """When no headers are configured, only the caller identity is forwarded."""
     mock_agent = _make_mock_agent()  # no static_headers or extra_headers
     mock_request = _make_mock_request()
 
@@ -231,7 +231,7 @@ async def test_no_headers():
 
     call_kwargs = mock_asend.call_args.kwargs
     headers = call_kwargs.get("agent_extra_headers")
-    assert headers is None
+    assert headers == {"X-LiteLLM-User-Id": "u1"}
 
 
 # ---------------------------------------------------------------------------
@@ -303,7 +303,7 @@ async def test_convention_unrelated_prefix_not_forwarded():
     mock_asend = await _invoke(mock_agent, mock_request, None)
 
     headers = mock_asend.call_args.kwargs.get("agent_extra_headers")
-    assert headers is None
+    assert headers == {"X-LiteLLM-User-Id": "u1"}
 
 
 # ---------------------------------------------------------------------------
@@ -393,7 +393,7 @@ async def test_non_databricks_agent_skips_oauth_resolution():
 
     mock_resolve.assert_not_called()
     headers = mock_asend.call_args.kwargs.get("agent_extra_headers")
-    assert headers == {"x-custom": "v"}
+    assert headers == {"x-custom": "v", "X-LiteLLM-User-Id": "u1"}
     assert "Authorization" not in headers
 
 
@@ -477,7 +477,7 @@ async def test_convention_header_blocked_by_case_variant_static():
 
     headers = mock_asend.call_args.kwargs.get("agent_extra_headers")
     assert headers is not None
-    assert headers == {"Authorization": "Bearer admin-token"}
+    assert headers == {"Authorization": "Bearer admin-token", "X-LiteLLM-User-Id": "u1"}
     assert "authorization" not in headers
 
 

From 17e3dc1c791236bb59bbafa038a02611007d6560 Mon Sep 17 00:00:00 2001
From: moe-berri <moe@berri.ai>
Date: Tue, 8 Sep 2026 15:57:08 -0700
Subject: [PATCH 148/223] refactor(ui): move nonReasoningTierFields into its
 own module

Upstream grew ClassificationMethodConfig.tsx to 783 lines, so the 14 lines this
PR added there pushed the merge result past the 800-line max-lines cap. The
helper is standalone logic with its own unit tests, so it moves out rather than
the cap moving up.
---
 .../add_model/ClassificationMethodConfig.tsx       | 14 +-------------
 .../add_model/nonReasoningTierFields.test.ts       |  2 +-
 .../components/add_model/nonReasoningTierFields.ts | 14 ++++++++++++++
 3 files changed, 16 insertions(+), 14 deletions(-)
 create mode 100644 ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts

diff --git a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
index 61706985654..594c6d022ce 100644
--- a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx
@@ -17,6 +17,7 @@ import ClassifierReasoningEffortSelect from "./ClassifierReasoningEffortSelect";
 import ClassifierCircuitBreakerConfig from "./ClassifierCircuitBreakerConfig";
 import ClassifierVisionConfig from "./ClassifierVisionConfig";
 import type { ReasoningEffort } from "./complexity_router_tiers";
+import { nonReasoningTierFields } from "./nonReasoningTierFields";
 import { useComplexityScorerDefaults } from "@/app/(dashboard)/hooks/autoRouter/useComplexityScorerDefaults";
 import {
   ClassificationFrequency,
@@ -237,19 +238,6 @@ const ClassifierTypeRadios: React.FC<{
   );
 };
 
-/** The NON_REASONING keys a classifier switch carries forward, or clears for a classifier that
- * cannot emit the tier. Leaving them set there is a config the backend refuses on save. */
-export const nonReasoningTierFields = (
-  classifierType: ClassifierType,
-  value: ComplexityRouterConfigValue,
-): Pick<ComplexityRouterConfigValue, "enable_non_reasoning_tier" | "tiers"> => {
-  if (classifierType === "llm") {
-    return { enable_non_reasoning_tier: value.enable_non_reasoning_tier, tiers: value.tiers };
-  }
-  const { NON_REASONING: _cleared, ...keptTiers } = value.tiers;
-  return { enable_non_reasoning_tier: undefined, tiers: keptTiers };
-};
-
 const ClassificationMethodConfig: React.FC<ClassificationMethodConfigProps> = ({
   value,
   onChange,
diff --git a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts
index 86e50130e43..3f986d57dd9 100644
--- a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts
@@ -1,7 +1,7 @@
 import { describe, expect, it } from "vitest";
 
 import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
-import { nonReasoningTierFields } from "./ClassificationMethodConfig";
+import { nonReasoningTierFields } from "./nonReasoningTierFields";
 
 const enabledValue: ComplexityRouterConfigValue = {
   classifier_type: "llm",
diff --git a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts
new file mode 100644
index 00000000000..2ea7a3f3b97
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts
@@ -0,0 +1,14 @@
+import type { ClassifierType, ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
+
+/** The NON_REASONING keys a classifier switch carries forward, or clears for a classifier that
+ * cannot emit the tier. Leaving them set there is a config the backend refuses on save. */
+export const nonReasoningTierFields = (
+  classifierType: ClassifierType,
+  value: ComplexityRouterConfigValue,
+): Pick<ComplexityRouterConfigValue, "enable_non_reasoning_tier" | "tiers"> => {
+  if (classifierType === "llm") {
+    return { enable_non_reasoning_tier: value.enable_non_reasoning_tier, tiers: value.tiers };
+  }
+  const { NON_REASONING: _cleared, ...keptTiers } = value.tiers;
+  return { enable_non_reasoning_tier: undefined, tiers: keptTiers };
+};

From 90731576e3e970543633fd2bfd2b032a89a42e48 Mon Sep 17 00:00:00 2001
From: yucheng-berri <yucheng@berri.ai>
Date: Tue, 8 Sep 2026 15:58:58 -0700
Subject: [PATCH 149/223] feat(team): let a team admin manage their own team's
 logging callbacks (#37667)

* feat(team): let a team admin manage their own team's logging callbacks

The team callback endpoints already authorize correctly: POST, GET and DELETE
each call _verify_team_access, which admits a proxy admin, an org admin for the
team, or an admin of that team, and 403s everyone else. The route-permission
layer never let a team admin reach them, so it answered 401 naming proxy admin
and the handler's own check was dead code for the caller it was written for.

Adding the two paths to self_managed_routes is how every other team-admin route
works: /team/member_add, /team/member_delete, /team/member_update and
/team/permissions_update all sit in that list and scope per team inside the
handler. The entries use the :path converter the routes are registered with, so
a team id containing a slash resolves the same way at the gate as at the router.

Because any authenticated caller now reaches these handlers, an unknown team had
to stop being distinguishable from one the caller may not manage. All three
handlers looked the team up and raised a distinct 'does not exist' before the
access check, which would have let any valid key probe for team ids. That branch
now returns the same 403 body _verify_team_access raises, and keeps the
diagnosable error for a proxy admin.

disable_logging stays out of the grant. That is a scope decision rather than a
security boundary, since a team admin holding DELETE can clear callbacks one at
a time; it differs only in also clearing the deprecated callback_settings shape.

* fix(team): reach the callback routes for a team id containing a colon

The route gate expands {team_id:path} to "[^:]+" so a colon-suffixed provider
route is not swallowed, which means the two entries added here matched a team
id with a slash but not one with a colon, while the router accepts both.
team_id is a free-form string, so a team whose id contains a colon kept the
old proxy-admin-only denial and its admin could not manage its own callbacks.
List both spellings rather than relaxing the shared matcher, which every
":path" route depends on. The comment claimed the two matchers agree; they do
not, so it now says what each placeholder actually accepts.

* fix(auth): match a :path placeholder the way the router's converter does

A team id may carry a slash, a colon, or both. The gate expanded {x:path}
to "[^:]+", so an id with a colon in it matched no self_managed_routes
entry and its team admin got the proxy-admin-only denial on a route the
router had already resolved for them. Listing a second {x} spelling covered
a colon or a slash but never both.

Expand {x:path} to ".+" instead, except when the template puts a ":"
literal of its own after the placeholder, which is where the narrower form
was earning its keep: the Google routes end in ":generateContent" and
friends, and there the value has to stop before that suffix rather than
swallow it and match a different verb.

That lets self_managed_routes drop back to the two :path spellings the
router itself mounts.

* test(auth): pin that the callback grant reaches no neighbouring team route

The grant is two templates ending in the callback suffix, and the
placeholder now takes slashes and colons. Every other route under
/team/{team_id} registers an ordinary single-segment placeholder, so no
URL the router sends to one of them can end in the callback suffix.

Pin that, so adding a path-converter route beside these fails here
rather than by handing a caller a handler the grant never covered.

* fix(team): make one entry own a credential family end to end

Every stored entry's callback_vars are flattened into one dict before a
request reads them, and that dict is what the exporter authenticates and
addresses with. So an entry naming only a destination is enough to
redirect a credential written somewhere else: a host on a second entry
pairs with the key pair from the first, and the request carries that key
pair to the new host. A team admin cannot read the team's masked Langfuse
secret, but could add such an entry and receive it.

Reject, for writers who are not proxy admins, an entry using a credential
family another entry already holds. Family rather than callback name,
because langfuse and langfuse_otel configure one Langfuse project and
would otherwise redirect each other, and because a destination like
dd_agent_host that no integration registry lists still pairs with the
Datadog credentials beside it.

A proxy admin already holds every credential the proxy has, so the rule
would buy nothing there and would break configs that predate it. A team
admin who does want to move a family deletes the entry holding it first,
which reveals nothing.

* fix(team): let one integration cover both callback events

The family rule compared variable names only, so a team admin who registered
an integration for the success event could not register the same integration,
with the same values, for the failure event.

Compare the values as well: repeating what the owning entry already stores
flattens to the same dict, so there is nothing to redirect. The stored side is
decrypted first, because the credentials are encrypted at rest and ciphertext
never equals the plaintext coming in.

* fix(team): compare the family's values, not its variable names

Comparing per variable rejected a credential written under its other spelling:
langfuse_secret and langfuse_secret_key are one key, so repeating the stored
secret under the other name read as a new value.

Ask instead whether the value is one the owning entries already carry. A
destination the caller controls is by definition not, so the redirect stays
closed, and no alias table has to stay complete for that to hold.

* fix(team): pin the family's configured variables as well as its values

Asking only whether a value is one the family holds let a held variable be
given another of the family's values, so the exporter would address or
authenticate with it.

Keep the value membership rule for a variable the family does not configure
yet, which is what lets one credential go in under its other spelling, and
require a variable it does configure to keep the value it has. Between them no
value the caller chose can enter the family.

* fix(auth): keep a newline in a :path value visible to the route gate

"." stops at a newline and the router's path converter does not, so a %0A
anywhere in a :path segment left the route unmatched here while still reaching
the handler. Every list built on this matcher inherited that: on a proxy with
DISABLE_ADMIN_ENDPOINTS set, DELETE /v1/mcp/server/abc%0Adef reached the MCP
handler instead of the 403 the same request gets without the %0A.

Match with a class that spans newlines.
---
 litellm/proxy/_types.py                       |   8 +
 litellm/proxy/auth/route_checks.py            |  20 +-
 .../callback_config_validation.py             |  85 ++++++++
 .../team_callback_endpoints.py                |  56 +++++-
 .../proxy/auth/test_route_checks.py           | 188 ++++++++++++++++++
 .../test_team_callback_endpoints.py           | 116 +++++++++++
 6 files changed, 459 insertions(+), 14 deletions(-)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 50b87264f3f..1c8608305a2 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -835,6 +835,14 @@ class LiteLLMRoutes(enum.Enum):
         "/team/daily/activity/aggregated",
         "/team/spend/by_user",
         "/team/{team_id}/members/me",
+        # POST/GET the team's logging callbacks, and DELETE one of them. Every
+        # handler calls _verify_team_access, which admits only a proxy admin, an
+        # org admin for the team, or an admin of this team.
+        #
+        # team_id is a free-form string, so it spells these with the same path
+        # converter the router uses; the gate matches that converter.
+        "/team/{team_id:path}/callback",
+        "/team/{team_id:path}/callback/{callback_name}",
         "/model/new",
         "/model/update",
         "/model/delete",
diff --git a/litellm/proxy/auth/route_checks.py b/litellm/proxy/auth/route_checks.py
index 4dba2497bb9..953e3cf3e88 100644
--- a/litellm/proxy/auth/route_checks.py
+++ b/litellm/proxy/auth/route_checks.py
@@ -497,10 +497,22 @@ class RouteChecks:
 
         def _placeholder_to_regex(match: re.Match) -> str:
             placeholder: Final = match.group(0).strip("{}")
-            if placeholder.endswith(":path"):
-                # allow "/" in the placeholder value, but don't eat the route suffix after ":"
-                return r"[^:]+"
-            return r"[^/]+"
+            if not placeholder.endswith(":path"):
+                return r"[^/]+"
+            # A ":path" placeholder takes whatever the router's own path
+            # converter takes, slashes and colons alike, so an id spelled with
+            # either (or both) still matches the template it was mounted under.
+            #
+            # Unless the template puts a ":" literal of its own after the
+            # placeholder: the Google routes end in ":generateContent" and
+            # friends, and there the value has to stop before that suffix
+            # rather than swallow it and match a different verb.
+            #
+            # "[\s\S]" rather than ".", because "." stops at a newline and the
+            # path converter does not: a %0A anywhere in the value would leave
+            # the route unmatched here while still reaching the handler, which
+            # turns this gate into a bypass for the lists built on it.
+            return r"[^:]+" if ":" in match.string[match.end() :] else r"[\s\S]+"
 
         pattern = re.sub(r"\{[^}]+\}", _placeholder_to_regex, pattern)
         # Anchor the pattern to match the entire string
diff --git a/litellm/proxy/common_utils/callback_config_validation.py b/litellm/proxy/common_utils/callback_config_validation.py
index 7ee3bd8d829..c9d97068313 100644
--- a/litellm/proxy/common_utils/callback_config_validation.py
+++ b/litellm/proxy/common_utils/callback_config_validation.py
@@ -44,6 +44,91 @@ def _langfuse_environment_error(callback_vars: Mapping[str, str]) -> str | None:
     return None
 
 
+# Which credential family a dynamic variable belongs to. The families are the
+# integrations that share one account: every langfuse_* variable configures the
+# same Langfuse project whether it rides the classic callback or the OTel one,
+# and every dd_* variable configures the same Datadog account.
+_VAR_FAMILIES: Final[Mapping[str, str]] = MappingProxyType(
+    {
+        "arize_": "Arize",
+        "dd_": "Datadog",
+        "gcs_": "GCS",
+        "humanloop_": "Humanloop",
+        "langfuse_": "Langfuse",
+        "langsmith_": "LangSmith",
+        "newrelic_": "New Relic",
+        "posthog_": "PostHog",
+        "wandb_": "Weights & Biases",
+        "weave_": "Weights & Biases",
+    }
+)
+
+
+def _family_of(var: str) -> str | None:
+    """The credential family ``var`` configures, or ``None`` if it configures none.
+
+    ``turn_off_message_logging`` and friends belong to no backend, so they carry
+    no credentials anyone could redirect.
+    """
+    return next((family for prefix, family in _VAR_FAMILIES.items() if var.startswith(prefix)), None)
+
+
+def cross_entry_family_error(
+    callback_vars: Mapping[str, str] | None,
+    stored_vars_by_entry: Sequence[Mapping[str, str]],
+) -> str | None:
+    """Reject an entry that changes what a family another entry holds resolves to.
+
+    Every stored entry's variables are flattened into one dict before a request
+    reads them, and the flattened dict is what the exporter authenticates and
+    addresses with. So an entry naming only a destination is enough to redirect
+    credentials that were written somewhere else: a host on a second entry pairs
+    with the key from the first, and the request carries that key to the new
+    host.
+
+    Two rules together keep the flattened dict out of the caller's hands. A
+    variable the family already configures has to keep the value it has, so
+    nothing already in use can be moved. A variable the family does not yet
+    configure may only carry a value the family already holds, which is what lets
+    the same credential go in under its other spelling (``langfuse_secret`` and
+    ``langfuse_secret_key`` are one key) without anything here having to list the
+    spellings. Between them, no value the caller chose can enter the family, and
+    repeating the family as it stands is still allowed -- that is how one
+    integration gets registered for both the success and the failure event.
+
+    A team admin who does want to move a family deletes the entry holding it
+    first, which reveals nothing.
+
+    Only the writers this endpoint newly admits are held to this, because a proxy
+    admin already holds every credential the proxy has.
+
+    ``stored_vars_by_entry`` has to arrive decrypted; the credential values are
+    encrypted at rest and ciphertext never equals the plaintext coming in.
+    """
+    if not callback_vars:
+        return None
+    stored_by_var: Final = {
+        var: value for entry in stored_vars_by_entry for var, value in entry.items() if _family_of(var) is not None
+    }
+    family_values: Final = frozenset(
+        (family, value)
+        for entry in stored_vars_by_entry
+        for var, value in entry.items()
+        if (family := _family_of(var)) is not None
+    )
+    held_families: Final = frozenset(family for family, _ in family_values)
+    return next(
+        (
+            f"{family} is already configured by another callback entry on this team. "
+            f"Remove that entry before setting {var} here."
+            for var, value, family in ((v, callback_vars[v], _family_of(v)) for v in callback_vars)
+            if family in held_families
+            and (stored_by_var[var] != value if var in stored_by_var else (family, value) not in family_values)
+        ),
+        None,
+    )
+
+
 def logging_metadata_config_error(metadata: Mapping[str, object] | None) -> str | None:
     """Validate every ``logging`` entry of a team/key metadata payload."""
     if not metadata:
diff --git a/litellm/proxy/management_endpoints/team_callback_endpoints.py b/litellm/proxy/management_endpoints/team_callback_endpoints.py
index fe658a13c24..1932e89717b 100644
--- a/litellm/proxy/management_endpoints/team_callback_endpoints.py
+++ b/litellm/proxy/management_endpoints/team_callback_endpoints.py
@@ -20,6 +20,7 @@ from litellm.proxy._types import (
     LiteLLM_AuditLogs,
     LiteLLM_TeamTable,
     LitellmTableNames,
+    LitellmUserRoles,
     ProxyErrorTypes,
     ProxyException,
     TeamCallbackDeleteResponse,
@@ -28,7 +29,10 @@ from litellm.proxy._types import (
     UserAPIKeyAuth,
 )
 from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
-from litellm.proxy.common_utils.callback_config_validation import callback_config_error
+from litellm.proxy.common_utils.callback_config_validation import (
+    callback_config_error,
+    cross_entry_family_error,
+)
 from litellm.proxy.common_utils.callback_utils import (
     _CALLBACK_VAR_ENCRYPTED_PREFIX,
     decrypt_callback_vars,
@@ -230,6 +234,22 @@ def _callback_error(status_code: int, message: str) -> HTTPException:
     )
 
 
+def _unknown_team_error(team_id: str, user_api_key_dict: UserAPIKeyAuth, status_code: int) -> HTTPException:
+    """Report an unknown team without telling an unauthorized caller that it is unknown.
+
+    These routes are reachable by any authenticated caller so that a team admin can
+    get as far as _verify_team_access. A distinct "does not exist" would therefore let
+    any valid key probe which team ids exist, so a caller who could not have managed
+    the team either way gets the same 403 body _verify_team_access raises.
+    """
+    if user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN:
+        return _callback_error(status_code, f"Team id = {team_id} does not exist.")
+    return HTTPException(
+        status_code=status.HTTP_403_FORBIDDEN,
+        detail="You do not have access to this team",
+    )
+
+
 @router.post(
     "/team/{team_id:path}/callback",
     tags=["team management"],
@@ -304,10 +324,7 @@ async def add_team_callbacks(
         # Check if team_id exists already
         _existing_team = await prisma_client.get_data(team_id=team_id, table_name="team", query_type="find_unique")
         if _existing_team is None:
-            raise HTTPException(
-                status_code=400,
-                detail={"error": f"Team id = {team_id} does not exist. Please use a different team id."},
-            )
+            raise _unknown_team_error(team_id, user_api_key_dict, status.HTTP_400_BAD_REQUEST)
 
         # IDOR guard: only proxy admins / org admins / team admins of THIS
         # team may write callback credentials. Without this, any
@@ -326,6 +343,28 @@ async def add_team_callbacks(
         if team_callback_settings is None or not isinstance(team_callback_settings, list):
             team_callback_settings = []
 
+        # One entry has to own a credential family end to end. The entries are
+        # flattened into one dict before a request reads them, so an entry
+        # naming only a destination would pair with a key written on another
+        # entry and carry it to that destination -- a key a team admin can read
+        # back nowhere. Repeating a value the owning entry already stores is
+        # fine, which is how one integration covers both events. Proxy admins
+        # are exempt: they already hold every credential the proxy has.
+        if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN:
+            # Decrypted, because the check compares the incoming values against
+            # the stored ones and the credentials are encrypted at rest.
+            decrypted_logging: Final = decrypt_callback_vars(team_metadata).get("logging")
+            stored_entries: Final = decrypted_logging if isinstance(decrypted_logging, list) else ()
+            stored_entry_vars: Final = [  # mutable-ok: read-only input to the check, never stored
+                entry.get("callback_vars") or {} for entry in stored_entries
+            ]
+            family_error: Final = cross_entry_family_error(data.callback_vars, stored_entry_vars)
+            if family_error is not None:
+                raise HTTPException(
+                    status_code=status.HTTP_400_BAD_REQUEST,
+                    detail=family_error,
+                )
+
         ## check if it already exists, for the same callback event
         for callback in team_callback_settings:
             if (
@@ -452,7 +491,7 @@ async def delete_team_callback(
             team_id=team_id, table_name="team", query_type="find_unique"
         )
         if _existing_team is None:
-            raise _callback_error(404, f"Team id = {team_id} does not exist.")
+            raise _unknown_team_error(team_id, user_api_key_dict, status.HTTP_404_NOT_FOUND)
 
         # IDOR guard: only proxy admins / org admins / team admins of THIS team may
         # deregister its callbacks, otherwise any authenticated key holder could
@@ -726,10 +765,7 @@ async def get_team_callbacks(
         # Check if team_id exists
         _existing_team = await prisma_client.get_data(team_id=team_id, table_name="team", query_type="find_unique")
         if _existing_team is None:
-            raise HTTPException(
-                status_code=404,
-                detail={"error": f"Team id = {team_id} does not exist."},
-            )
+            raise _unknown_team_error(team_id, user_api_key_dict, status.HTTP_404_NOT_FOUND)
 
         # IDOR guard: callback metadata holds third-party API credentials
         # (Langfuse / Langsmith / GCS). Only proxy admins / org admins /
diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py
index 5b15d4a7d5e..0fd19f518d9 100644
--- a/tests/test_litellm/proxy/auth/test_route_checks.py
+++ b/tests/test_litellm/proxy/auth/test_route_checks.py
@@ -3638,3 +3638,191 @@ def test_agent_registry_route_gate_open_to_non_admin_roles(user_role, method, ro
         valid_token=valid_token,
         request_data={},
     )
+TEAM_CALLBACK_ROUTES = (
+    "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/callback",
+    "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/callback/langfuse",
+    # the routes register team_id with the :path converter, so a team id may
+    # contain a slash
+    "/team/tenant/06bda574/callback",
+    "/team/tenant/06bda574/callback/langfuse",
+    # team_id is a free-form string, so it may also contain a colon
+    "/team/tenant:06bda574/callback",
+    "/team/tenant:06bda574/callback/langfuse",
+    # or both, which is the shape neither a "[^:]+" nor a "[^/]+" expansion
+    # of the placeholder reaches on its own
+    "/team/tenant:acme/prod/callback",
+    "/team/tenant:acme/prod/callback/langfuse",
+)
+
+
+def _gate(route, role) -> str:
+    """Drive the real route gate for a non-proxy-admin caller.
+
+    Reports "allowed" when the gate lets the request through to its handler, and
+    the denial message otherwise, so a caller asserts the verdict as a value
+    instead of on whether an exception escaped.
+    """
+    user_obj = LiteLLM_UserTable(
+        user_id="team_admin_user",
+        user_email="team-admin@example.com",
+        user_role=role,
+    )
+    request = MagicMock(spec=Request)
+    request.query_params = {}
+    try:
+        RouteChecks.non_proxy_admin_allowed_routes_check(
+            user_obj=user_obj,
+            _user_role=role,
+            route=route,
+            request=request,
+            valid_token=UserAPIKeyAuth(user_id="team_admin_user", user_role=role),
+            request_data={},
+        )
+    except Exception as exc:
+        return f"denied: {exc}"
+    return "allowed"
+
+
+def test_team_callback_routes_are_self_managed():
+    """The grant has to come from self_managed_routes specifically.
+
+    That list is the one whose entries carry no role predicate, so the handler
+    decides. Granting the same paths through internal_user_routes instead would
+    look identical for an internal_user while silently denying the org admins and
+    view-only roles that list does not cover.
+    """
+    for template in (
+        "/team/{team_id:path}/callback",
+        "/team/{team_id:path}/callback/{callback_name}",
+    ):
+        assert template in LiteLLMRoutes.self_managed_routes.value
+
+
+@pytest.mark.parametrize("route", TEAM_CALLBACK_ROUTES)
+@pytest.mark.parametrize(
+    "role",
+    [
+        LitellmUserRoles.INTERNAL_USER.value,
+        LitellmUserRoles.INTERNAL_USER_VIEW_ONLY.value,
+        LitellmUserRoles.ORG_ADMIN.value,
+    ],
+)
+def test_team_callback_routes_reach_their_handler_for_non_admins(route, role):
+    """A team admin manages their own team's logging callbacks, so the route gate
+    must let a non-proxy-admin through to the handler.
+
+    The handler is what authorizes: every team callback endpoint calls
+    _verify_team_access, which admits only a proxy admin, an org admin for the
+    team, or an admin of that team, and 403s everyone else. Before this, the gate
+    rejected the team admin with a 401 naming proxy admin, so the handler's own
+    check was unreachable for them.
+    """
+    assert _gate(route, role) == "allowed"
+
+
+@pytest.mark.parametrize(
+    "pattern, route, matches",
+    [
+        # a :path placeholder takes what the router's path converter takes
+        ("/team/{team_id:path}/callback", "/team/plain/callback", True),
+        ("/team/{team_id:path}/callback", "/team/tenant/acme/callback", True),
+        ("/team/{team_id:path}/callback", "/team/tenant:acme/callback", True),
+        ("/team/{team_id:path}/callback", "/team/tenant:acme/prod/callback", True),
+        # and still has to reach the template's own suffix
+        ("/team/{team_id:path}/callback", "/team/tenant:acme/disable_logging", False),
+        # a template with a ":" literal after the placeholder keeps the suffix
+        (
+            "/v1beta/models/{model_name:path}:generateContent",
+            "/v1beta/models/gemini-2.5-flash:generateContent",
+            True,
+        ),
+        (
+            "/v1beta/models/{model_name:path}:generateContent",
+            "/v1beta/models/publishers/google/gemini-2.5-flash:generateContent",
+            True,
+        ),
+        # the value must not swallow that suffix and match a different verb
+        (
+            "/v1beta/models/{model_name:path}:generateContent",
+            "/v1beta/models/gemini-2.5-flash:countTokens",
+            False,
+        ),
+        # a %0A in the value reaches the handler through the path converter, so
+        # the gate has to see it too or DISABLE_ADMIN_ENDPOINTS is bypassable
+        ("/v1/mcp/server/{path:path}", "/v1/mcp/server/abc\ndef", True),
+        ("/team/{team_id:path}/callback", "/team/ten\nant/callback", True),
+        ("/v1beta/models/{model_name:path}:generateContent", "/v1beta/models/gem\nini:generateContent", True),
+        # an ordinary placeholder stays one segment
+        ("/team/{team_id}/members/me", "/team/abc/members/me", True),
+        ("/team/{team_id}/members/me", "/team/tenant/abc/members/me", False),
+        ("/team/{team_id}/members/me", "/team/ab\nc/members/me", True),
+    ],
+)
+def test_path_placeholder_matches_what_the_router_accepts(pattern, route, matches):
+    """The gate's placeholder expansion has to agree with the router's.
+
+    A team id may carry a slash, a colon, or both, and the router mounted these
+    paths with the same :path converter, so an id the router routes must not be
+    an id the gate fails to recognize. The one narrowing that stays is a template
+    whose own suffix begins with a colon: there the value stops before it, or
+    ":generateContent" would also match a ":countTokens" request.
+    """
+    assert RouteChecks._route_matches_pattern(route=route, pattern=pattern) is matches
+
+
+# Every other route the proxy mounts under /team/{team_id}, spelled the way it
+# is registered. None of them takes a path converter, so none can be reached by
+# a URL that ends in the callback suffix.
+PROTECTED_TEAM_ROUTES = (
+    "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112",
+    "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/disable_logging",
+    "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/members/me",
+    "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/member/u-1/reset_spend",
+    # the same routes with the callback suffix spliced in, which is the shape a
+    # caller would craft to make a protected route look self-managed
+    "/team/06bda574/callback/disable_logging/x",
+    "/team/06bda574/callback/member/u-1/reset_spend",
+    "/team/06bda574/callback/members/me",
+)
+
+
+@pytest.mark.parametrize("route", PROTECTED_TEAM_ROUTES)
+def test_the_callback_grant_does_not_reach_another_team_route(route):
+    """Widening the callback templates must not hand out any neighbouring route.
+
+    The grant is two templates ending in the callback suffix. Every other team
+    route registers an ordinary single-segment placeholder, so no URL the router
+    sends to one of them can end in "/callback" or "/callback/<name>" -- and the
+    gate must agree, or a crafted team id would carry a caller into a handler
+    the grant never covered.
+    """
+    for template in (
+        "/team/{team_id:path}/callback",
+        "/team/{team_id:path}/callback/{callback_name}",
+    ):
+        assert RouteChecks._route_matches_pattern(route=route, pattern=template) is False
+
+
+def test_team_disable_logging_stays_proxy_admin_only():
+    """disable_logging was left out of the grant, so it must still be rejected at
+    the gate. It is the one team callback route a team admin cannot reach."""
+    verdict = _gate(
+        "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/disable_logging",
+        LitellmUserRoles.INTERNAL_USER.value,
+    )
+
+    assert "Only proxy admin" in verdict
+    assert "disable_logging" in verdict
+
+
+@pytest.mark.parametrize(
+    "route",
+    [
+        "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112",
+        "/team/update",
+        "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/model/add",
+    ],
+)
+def test_neighbouring_team_routes_stay_closed(route):
+    """The grant is the callback paths and nothing else on the team namespace."""
+    assert "Only proxy admin" in _gate(route, LitellmUserRoles.INTERNAL_USER.value)
diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py
index 08e931e6405..bdc12dad4bc 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py
@@ -19,6 +19,7 @@ from litellm.proxy._types import (
     LitellmUserRoles,
     UserAPIKeyAuth,
 )
+from litellm.proxy.common_utils.callback_config_validation import cross_entry_family_error
 from litellm.proxy.management_endpoints.team_callback_endpoints import (
     add_team_callbacks,
     delete_team_callback,
@@ -1443,3 +1444,118 @@ async def test_delete_team_callback_route_accepts_team_ids_containing_slashes():
     assert response.json()["data"]["success_callbacks"] == ["langsmith"]
     written = json.loads(mock_prisma.db.litellm_teamtable.update.await_args.kwargs["data"]["metadata"])
     assert [entry["callback_name"] for entry in written["logging"]] == ["langsmith"]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "call_handler",
+    [
+        lambda caller: add_team_callbacks(
+            data=AddTeamCallback(
+                callback_name="langfuse",
+                callback_type="success",
+                callback_vars={"langfuse_public_key": "pk", "langfuse_secret_key": "sk"},
+            ),
+            http_request=Mock(spec=Request),
+            team_id="team-does-not-exist",
+            user_api_key_dict=caller,
+        ),
+        lambda caller: get_team_callbacks(
+            http_request=Mock(spec=Request),
+            team_id="team-does-not-exist",
+            user_api_key_dict=caller,
+        ),
+        lambda caller: delete_team_callback(
+            http_request=Mock(spec=Request),
+            team_id="team-does-not-exist",
+            callback_name="langfuse",
+            user_api_key_dict=caller,
+        ),
+    ],
+    ids=["add", "get", "delete"],
+)
+async def test_unknown_team_is_indistinguishable_from_no_access(call_handler, unauthorized_caller):
+    """An unauthorized caller must not learn whether a team id exists.
+
+    These routes are reachable by any authenticated caller so a team admin can get
+    as far as the access check, so a distinct "does not exist" would turn them into
+    a probe for valid team ids. The unknown-team response has to match the
+    no-access one exactly, status and body.
+    """
+    with patch("litellm.proxy.proxy_server.prisma_client") as mock_client:  # test-quality-ok: the handler imports prisma_client from proxy_server at call time, so there is no seam to inject through
+        mock_client.get_data = AsyncMock(return_value=None)
+        with pytest.raises(HTTPException) as unknown_team:
+            await call_handler(unauthorized_caller)
+
+    with patch("litellm.proxy.proxy_server.prisma_client") as mock_client:  # test-quality-ok: the handler imports prisma_client from proxy_server at call time, so there is no seam to inject through
+        mock_client.get_data = AsyncMock(return_value=_team_row())
+        mock_client.db.litellm_teamtable.update = AsyncMock()
+        with patch(  # test-quality-ok: _verify_team_access calls this module-level helper directly, so there is no seam to inject through
+            "litellm.proxy.management_endpoints.team_endpoints._is_user_org_admin_for_team",
+            new_callable=AsyncMock,
+            return_value=False,
+        ):
+            with pytest.raises(HTTPException) as no_access:
+                await call_handler(unauthorized_caller)
+
+    assert unknown_team.value.status_code == no_access.value.status_code == 403
+    assert unknown_team.value.detail == no_access.value.detail
+    assert "does not exist" not in str(unknown_team.value.detail)
+
+
+@pytest.mark.asyncio
+async def test_proxy_admin_still_told_the_team_is_unknown():
+    """The masking is only for callers who could not have managed the team; a proxy
+    admin keeps the diagnosable error."""
+    admin = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, user_id="admin", api_key="sk-admin")
+    with patch("litellm.proxy.proxy_server.prisma_client") as mock_client:  # test-quality-ok: the handler imports prisma_client from proxy_server at call time, so there is no seam to inject through
+        mock_client.get_data = AsyncMock(return_value=None)
+        with pytest.raises(HTTPException) as exc:
+            await get_team_callbacks(
+                http_request=Mock(spec=Request),
+                team_id="team-does-not-exist",
+                user_api_key_dict=admin,
+            )
+
+    assert exc.value.status_code == 404
+    assert "does not exist" in str(exc.value.detail)
+
+
+@pytest.mark.parametrize(
+    "new_vars, stored, rejected",
+    [
+        # the redirect, in every carrier a caller could pick: an entry naming
+        # only a host, pairing with a key pair written on another entry
+        ({"langfuse_host": "http://attacker.invalid"}, [{"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], True),
+        # the sibling carrier -- langfuse and langfuse_otel are one account
+        ({"langfuse_host": "http://attacker.invalid"}, [{"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_secret_key": "sk"}], True),
+        # a destination variable no integration registry lists
+        ({"dd_agent_host": "attacker.invalid"}, [{"dd_api_key": "k", "dd_site": "us5.datadoghq.com"}], True),
+        # one entry owning its family end to end is the feature
+        ({"langfuse_host": "https://eu.cloud.langfuse.com", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}, [], False),
+        # a different family alongside an existing one stays fine
+        ({"gcs_bucket_name": "bucket"}, [{"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], False),
+        ({"langsmith_api_key": "k"}, [{"dd_api_key": "k"}], False),
+        # variables that configure no backend carry nothing to redirect
+        ({"turn_off_message_logging": "true"}, [{"langfuse_secret_key": "sk"}], False),
+        # the same integration registered for a second event: identical values
+        # flatten to the identical dict, so there is nothing to redirect
+        ({"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}, [{"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], False),
+        # the same credential under its other spelling is the same credential
+        ({"langfuse_secret": "sk"}, [{"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], False),
+        # a value the family already holds cannot be moved into another of its
+        # variables either; the exporter would address or authenticate with it
+        ({"langfuse_host": "pk"}, [{"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_public_key": "pk"}], True),
+        # the same shape with one value moved is the redirect again
+        ({"langfuse_host": "http://attacker.invalid", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}, [{"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], True),
+    ],
+)
+def test_one_entry_owns_a_credential_family(new_vars, stored, rejected):
+    """A team admin must not be able to redirect a credential they cannot read.
+
+    The stored entries are flattened into one dict before a request reads them,
+    so an entry naming only a destination pairs with a key written elsewhere and
+    carries it to that destination.
+    """
+    error = cross_entry_family_error(new_vars, stored)
+    assert (error is not None) is rejected

From bc8305810ff9bd465f464a7efd0abbaae46e3250 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 16:03:34 -0700
Subject: [PATCH 150/223] fix(ui): align SDK mocks and remaining dependency
 patches

---
 ui/litellm-dashboard/package-lock.json        | 298 ++++++++++--------
 ui/litellm-dashboard/package.json             |   4 +-
 .../llm_calls/anthropic_messages.test.tsx     |   4 +-
 .../llm_calls/audio_speech.test.tsx           |  14 +-
 .../llm_calls/audio_transcriptions.test.tsx   |  14 +-
 .../llm_calls/chat_completion.test.tsx        |   4 +-
 .../llm_calls/responses_api.test.tsx          |   4 +-
 7 files changed, 200 insertions(+), 142 deletions(-)

diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json
index d920205d203..44360e94392 100644
--- a/ui/litellm-dashboard/package-lock.json
+++ b/ui/litellm-dashboard/package-lock.json
@@ -680,9 +680,9 @@
       }
     },
     "node_modules/@emnapi/runtime": {
-      "version": "1.11.2",
-      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.11.2.tgz",
-      "integrity": "sha512-kyOl3X0DuTiT1h2ft8r2fYO8JYtU9a9Xis/zBSiGArNaagCOWx90N1k2wxp18czFDH+OgcWGb5ZP/XMt3dcyPA==",
+      "version": "1.11.3",
+      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.11.3.tgz",
+      "integrity": "sha512-Xz4Tpyki7XyrpbUK1jR1AhdAdaXyhhY4lZ3neLodmhpuWfy2PAQN5B46sAiU4liOXGLkHypn/qU+jvfWSCYYLA==",
       "license": "MIT",
       "optional": true,
       "dependencies": {
@@ -1452,9 +1452,9 @@
       }
     },
     "node_modules/@img/sharp-darwin-arm64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-arm64/-/sharp-darwin-arm64-0.35.3.tgz",
-      "integrity": "sha512-RMnFX7YQsMoh7lWfcM4NEHHymBX/rLuKNPVM84XE9ONPcaSCDgE7CHIHpSgPcO2xcRthgBy1HfNO319mwhIAkg==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-arm64/-/sharp-darwin-arm64-0.35.4.tgz",
+      "integrity": "sha512-Uhfl4V4lhP2nbUVF9+hyH1+luj86f1gUFeo8ALYxFoULoU+G87D43BfeMP8XHsk9boxAnCY/bf2EHwhA7MuGsA==",
       "cpu": [
         "arm64"
       ],
@@ -1470,13 +1470,13 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-darwin-arm64": "1.3.2"
+        "@img/sharp-libvips-darwin-arm64": "1.3.3"
       }
     },
     "node_modules/@img/sharp-darwin-x64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-x64/-/sharp-darwin-x64-0.35.3.tgz",
-      "integrity": "sha512-Xo+5uFBtLN0BKqieTxiFzFPQAUlBbbH5iBKyRX/z1JrbnYsHTfKJnUfL8+p2TPXr1pXqao4eeL4Rl144uDpK9w==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-x64/-/sharp-darwin-x64-0.35.4.tgz",
+      "integrity": "sha512-hWniXY3bG5qKpkKrAwPe4y+VTPmf086YQAnkxWh7uA1YrlRouWGa0M0Mxj3ZjnXFkv7/TD1bTy9lGUK26vRvWw==",
       "cpu": [
         "x64"
       ],
@@ -1492,20 +1492,20 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-darwin-x64": "1.3.2"
+        "@img/sharp-libvips-darwin-x64": "1.3.3"
       }
     },
     "node_modules/@img/sharp-freebsd-wasm32": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-freebsd-wasm32/-/sharp-freebsd-wasm32-0.35.3.tgz",
-      "integrity": "sha512-lUxcqWIj2wMQ9BrwNjngcr1gWUr5xgaGThBRqPPalIC2n67Cqj1uPh8NnA/ZhAg8hUbKl+kVHKwgUIwe6ZYPrg==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-freebsd-wasm32/-/sharp-freebsd-wasm32-0.35.4.tgz",
+      "integrity": "sha512-lIsKw/BU+kjB4eZjxrYrZmwOJYi3Ajrv66iAlBmUPyKc3HpnloevB1g3wxGD9P/5BbQ1brBGl65VRRrCvQDEqA==",
       "license": "Apache-2.0",
       "optional": true,
       "os": [
         "freebsd"
       ],
       "dependencies": {
-        "@img/sharp-wasm32": "0.35.3"
+        "@img/sharp-wasm32": "0.35.4"
       },
       "engines": {
         "node": ">=20.9.0"
@@ -1515,9 +1515,9 @@
       }
     },
     "node_modules/@img/sharp-libvips-darwin-arm64": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-arm64/-/sharp-libvips-darwin-arm64-1.3.2.tgz",
-      "integrity": "sha512-9J6ypZFpQBj4YnePGoq/S38w6nz+vqg5WZLrLGY4YuSemdMq47GMLBPO42MzwdGwpg/agZ7xzZcFHa48xlywfg==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-arm64/-/sharp-libvips-darwin-arm64-1.3.3.tgz",
+      "integrity": "sha512-suTBPTDGrI9WodccaDdwZItTSaBYASlBk1NSfElSHrUfzu3szG6lvIF58+WiFvnfzuK8ZBFS5zE00PxqxnRiPg==",
       "cpu": [
         "arm64"
       ],
@@ -1531,9 +1531,9 @@
       }
     },
     "node_modules/@img/sharp-libvips-darwin-x64": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-x64/-/sharp-libvips-darwin-x64-1.3.2.tgz",
-      "integrity": "sha512-m2pW1n6cns9VaubNwsZ+c3CRYjxNQWgJ5gPlnL1nbBcpkBvFm6SCFN5o0psFHI8w9n11NKhFkeEDns98tiqbEw==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-x64/-/sharp-libvips-darwin-x64-1.3.3.tgz",
+      "integrity": "sha512-FVJZ5mITMobmXIz/hPDTw0EintTW5H3WfrxwLqEqjiIihlu+hVRyGrFQ60xl0Lxn7Bt3zdpevPaQi0HEzqz9fw==",
       "cpu": [
         "x64"
       ],
@@ -1547,12 +1547,15 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-arm": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm/-/sharp-libvips-linux-arm-1.3.2.tgz",
-      "integrity": "sha512-1eMLzy92I4J6rmi4mAT8yC3HxOtniyGELlzGbNMLLeqe052ahFQ0h6LFq+lh5DsDIdYViIDst08abvSbcEdLXQ==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm/-/sharp-libvips-linux-arm-1.3.3.tgz",
+      "integrity": "sha512-3rbU4vqXXc3hY/OiXdl52xZvT0F1yEngWfvqudtPJg/KkyiaQw2DRsFrNzpmLvfavbwOq3qXn36GP8obHRULQA==",
       "cpu": [
         "arm"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "LGPL-3.0-or-later",
       "optional": true,
       "os": [
@@ -1563,12 +1566,15 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-arm64": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm64/-/sharp-libvips-linux-arm64-1.3.2.tgz",
-      "integrity": "sha512-dqVSFynCox4C/J8kT16V7SIFAns0IjgLwkvYT7p8LQVmJ5OS5b6tI9IGflxTeuBS//zXeFIUbwt5dwxyZ17cnA==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm64/-/sharp-libvips-linux-arm64-1.3.3.tgz",
+      "integrity": "sha512-0DaL0A6Xu6sQSQFwe4iVCrKWU2cCTItnRsYsCdxAMm9NF6twAA9BKnoqy4hqz4+azQ0JHuA26qiUKsf1XJ/v5A==",
       "cpu": [
         "arm64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "LGPL-3.0-or-later",
       "optional": true,
       "os": [
@@ -1579,12 +1585,15 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-ppc64": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-ppc64/-/sharp-libvips-linux-ppc64-1.3.2.tgz",
-      "integrity": "sha512-3z0NHDxD6n5I9gc05U1eW1AyRm+Gznzq3naMrthPNqE6oYykcogW0l/jfpJdjYnuNl8R7yI9pNbE1XiUeyq0Aw==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-ppc64/-/sharp-libvips-linux-ppc64-1.3.3.tgz",
+      "integrity": "sha512-cdn1OvUBwsXhbC0zSzJnNzf5MZ/mTrobawDvNXBTxe8VtqKAm0sRuEY2Evzovb/w9JMk4TvRxqt1mekSuJz64w==",
       "cpu": [
         "ppc64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "LGPL-3.0-or-later",
       "optional": true,
       "os": [
@@ -1595,12 +1604,15 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-riscv64": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-riscv64/-/sharp-libvips-linux-riscv64-1.3.2.tgz",
-      "integrity": "sha512-bsb4rI+NldGOsXuej2r8OdSS8+zXDVaCWxyWrcv6kneTOlgAHtZABRzBBCwdsPiD90J4myNJuHpg6kA20ImW/w==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-riscv64/-/sharp-libvips-linux-riscv64-1.3.3.tgz",
+      "integrity": "sha512-HjPVx7yKz+0lqdhDlTw1tt90wamBoxhiXpvl1XZpJLiHH4RCJ5yDTqH+VlYPv2fwFs89JFw4c1IexYOcQUi4IQ==",
       "cpu": [
         "riscv64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "LGPL-3.0-or-later",
       "optional": true,
       "os": [
@@ -1611,12 +1623,15 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-s390x": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-s390x/-/sharp-libvips-linux-s390x-1.3.2.tgz",
-      "integrity": "sha512-/ABshyj8gCpyIrNXnHn4LorDJ0HHm1VhXPBlxZ8zAtfVPAaSafXPGn+sUSIRiwaSBy0mmFjSjiXI5mkcwdChKQ==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-s390x/-/sharp-libvips-linux-s390x-1.3.3.tgz",
+      "integrity": "sha512-neWLh+3yCNThxnfy3c4BbVBeGgt9aftno+XbT56iK28RgeDs3UOFWviLWlUu0bArYVYJaFDK+RRohbicUNCm8Q==",
       "cpu": [
         "s390x"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "LGPL-3.0-or-later",
       "optional": true,
       "os": [
@@ -1627,12 +1642,15 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-x64": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-x64/-/sharp-libvips-linux-x64-1.3.2.tgz",
-      "integrity": "sha512-ITPEtgffGJ0S6G9dRyw/366tJQqFRcHWPHhC+Stpg3Z8AEMrDrTr2lhdz4f/Y/HMbRh//7Z5mBzEpVdi62Oc3w==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-x64/-/sharp-libvips-linux-x64-1.3.3.tgz",
+      "integrity": "sha512-4vKmvAst9nrowcqquKFAyZJUDolUaIp8uRiN0mWFguJ1IplC9/pitXtlnnlU4aa/eJw3J7i67V+pwUL+wZGdsA==",
       "cpu": [
         "x64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "LGPL-3.0-or-later",
       "optional": true,
       "os": [
@@ -1643,12 +1661,15 @@
       }
     },
     "node_modules/@img/sharp-libvips-linuxmusl-arm64": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linuxmusl-arm64/-/sharp-libvips-linuxmusl-arm64-1.3.2.tgz",
-      "integrity": "sha512-zE9EdiUzUmg5mDT5a1rk5fYJ6GWPloTwWBYDS14naqHsL+EaMpDj1AWnpLgh3u0YCORv2Tt50wrcrpYqkP97Kw==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linuxmusl-arm64/-/sharp-libvips-linuxmusl-arm64-1.3.3.tgz",
+      "integrity": "sha512-Y9kQaLMuNoB0bPYOOdcZMaseNrFpPodIWWMrx+CZyydf2xn68j9WYc6sWWRrDwNkzCQjKYfc68L7jKjGlHMibw==",
       "cpu": [
         "arm64"
       ],
+      "libc": [
+        "musl"
+      ],
       "license": "LGPL-3.0-or-later",
       "optional": true,
       "os": [
@@ -1659,12 +1680,15 @@
       }
     },
     "node_modules/@img/sharp-libvips-linuxmusl-x64": {
-      "version": "1.3.2",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linuxmusl-x64/-/sharp-libvips-linuxmusl-x64-1.3.2.tgz",
-      "integrity": "sha512-m0lrLiUt+lBYnCFr8qV/65yMR4E/c7/wf78I5eKTdkEakFAlZ9QlzEM3QIhhAwVeUhLAHLcCq7a7Vszq/oFNZQ==",
+      "version": "1.3.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linuxmusl-x64/-/sharp-libvips-linuxmusl-x64-1.3.3.tgz",
+      "integrity": "sha512-fj8Mv0HHfD1Rr+4I68+3agJynxDWtBFgicTbSOb9Bke6pIwzGcJ+RX/yHjmiEGFMCavY/dxvem7MyNaJF+wDiw==",
       "cpu": [
         "x64"
       ],
+      "libc": [
+        "musl"
+      ],
       "license": "LGPL-3.0-or-later",
       "optional": true,
       "os": [
@@ -1675,12 +1699,15 @@
       }
     },
     "node_modules/@img/sharp-linux-arm": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-arm/-/sharp-linux-arm-0.35.3.tgz",
-      "integrity": "sha512-affVWCTLooy8TSxbDx2qkzuDeaWLNVBA+P//FNBirHsXpP2fuBhk5AuboYUnrDnzoXes8GFjpTx0SBFOCRg+FA==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-arm/-/sharp-linux-arm-0.35.4.tgz",
+      "integrity": "sha512-7OAS8gI0EReKGVN2HssHlM6umJgxF5VI3xN0p9FA91p/YO+ou5hiNghLdZ5BEHztwaaK5+bLKRf8x/o2L2nk9A==",
       "cpu": [
         "arm"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "Apache-2.0",
       "optional": true,
       "os": [
@@ -1693,16 +1720,19 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-arm": "1.3.2"
+        "@img/sharp-libvips-linux-arm": "1.3.3"
       }
     },
     "node_modules/@img/sharp-linux-arm64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-arm64/-/sharp-linux-arm64-0.35.3.tgz",
-      "integrity": "sha512-QgKDspHPnrU+GQ55XPhGwyhC8acLVOOSyAvo1oVfFmrIXLkDNmGWzAfDZ4xK8oSA1qBQrALcHX0G5UZni/SuFQ==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-arm64/-/sharp-linux-arm64-0.35.4.tgz",
+      "integrity": "sha512-De4jpEnAU8Hd5oT0j1G3uL4ZvTuipVMn7YC6vPaJhy6/7EwEae0SVAoBrUMYQbkLGDm85taVWwuPc1a44LTzCQ==",
       "cpu": [
         "arm64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "Apache-2.0",
       "optional": true,
       "os": [
@@ -1715,16 +1745,19 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-arm64": "1.3.2"
+        "@img/sharp-libvips-linux-arm64": "1.3.3"
       }
     },
     "node_modules/@img/sharp-linux-ppc64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-ppc64/-/sharp-linux-ppc64-0.35.3.tgz",
-      "integrity": "sha512-sMd8rDxmpLOwv/7N44klFjOD5DUO7FLdjiXDI0hoxYaf7Ar262dQIEkosE98bps+5HPLtp/EvNqeqQtOycP/IA==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-ppc64/-/sharp-linux-ppc64-0.35.4.tgz",
+      "integrity": "sha512-2oYZJeIl4kCcMGk4ouZVjnkCtFrpQFlNEtJ6GbxzhHQchwH0NH/qEb9ykmOl29dqwMq+JhFdZn+1ak2FKhI9fQ==",
       "cpu": [
         "ppc64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "Apache-2.0",
       "optional": true,
       "os": [
@@ -1737,16 +1770,19 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-ppc64": "1.3.2"
+        "@img/sharp-libvips-linux-ppc64": "1.3.3"
       }
     },
     "node_modules/@img/sharp-linux-riscv64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-riscv64/-/sharp-linux-riscv64-0.35.3.tgz",
-      "integrity": "sha512-0Eob78yjlYPfL5vMNWAW55l3R9Y6BQS/gOfe0ZcP9mEz9ohhKSt4im1hayiknXgf8AWrFqMvJcKIdmLmEe7yeQ==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-riscv64/-/sharp-linux-riscv64-0.35.4.tgz",
+      "integrity": "sha512-cPbNChoRURAWdebDIHSenxRpgEdy7JkPydSnUxRm9VvKD7m0/xVaR/8Fzlu81pk5nHEvHH87UZUA7cTtwnbJSA==",
       "cpu": [
         "riscv64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "Apache-2.0",
       "optional": true,
       "os": [
@@ -1759,16 +1795,19 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-riscv64": "1.3.2"
+        "@img/sharp-libvips-linux-riscv64": "1.3.3"
       }
     },
     "node_modules/@img/sharp-linux-s390x": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-s390x/-/sharp-linux-s390x-0.35.3.tgz",
-      "integrity": "sha512-KgAxQ0DxpNOq1rG2t5cgTgShJFGSuU7XO45cqC+1NVOuZnP6tlgZRuSYOfNupGkHID0o3cJOsw4DVeJpMovcGw==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-s390x/-/sharp-linux-s390x-0.35.4.tgz",
+      "integrity": "sha512-RY0JFY8Fd6RonCBtHz+DvadaPkXDSI1AUn6yWL9TipqkZ1vY8w8evqdgyDFnkm4/K1ve1TvZiaePP5oSd4+WVQ==",
       "cpu": [
         "s390x"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "Apache-2.0",
       "optional": true,
       "os": [
@@ -1781,16 +1820,19 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-s390x": "1.3.2"
+        "@img/sharp-libvips-linux-s390x": "1.3.3"
       }
     },
     "node_modules/@img/sharp-linux-x64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-x64/-/sharp-linux-x64-0.35.3.tgz",
-      "integrity": "sha512-8pqvxubL2PGdhlPy6GLqzDYMUjyRmKAwKHYKixpdJYBUK7PJ0C029XdsnpFIdgRZG68fZiGdHVWcKPvtiPB4cA==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-x64/-/sharp-linux-x64-0.35.4.tgz",
+      "integrity": "sha512-9qvvEAuk8k89TfWUoX2htWjbAMX8p+NxCppjpcg5k6xMsjhBQPTsoIh36h9Qde4WRuGpJeYnOjdosDn/cnv+OA==",
       "cpu": [
         "x64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "Apache-2.0",
       "optional": true,
       "os": [
@@ -1803,16 +1845,19 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-x64": "1.3.2"
+        "@img/sharp-libvips-linux-x64": "1.3.3"
       }
     },
     "node_modules/@img/sharp-linuxmusl-arm64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linuxmusl-arm64/-/sharp-linuxmusl-arm64-0.35.3.tgz",
-      "integrity": "sha512-Vz0iQjzzcSX3HCbfwFfCSG/9SCIqyO0mH2sXyiHaAYfBk0cRsCWXRyQYX0ovCK/PAQBbTzQ0dsPQHh5MAFL59w==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linuxmusl-arm64/-/sharp-linuxmusl-arm64-0.35.4.tgz",
+      "integrity": "sha512-KB5jxpfWQTr0nc3xdHtWChdbifHrBGsd2SM62Eyxrl8afikm+f5qGBU75SJIZBT/S1MC8XyacdlXBMSWq6OURA==",
       "cpu": [
         "arm64"
       ],
+      "libc": [
+        "musl"
+      ],
       "license": "Apache-2.0",
       "optional": true,
       "os": [
@@ -1825,16 +1870,19 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linuxmusl-arm64": "1.3.2"
+        "@img/sharp-libvips-linuxmusl-arm64": "1.3.3"
       }
     },
     "node_modules/@img/sharp-linuxmusl-x64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linuxmusl-x64/-/sharp-linuxmusl-x64-0.35.3.tgz",
-      "integrity": "sha512-6O1NPKcDVj9QEdg7Hx549EX8U0rp6yXQERqru6yRN7fGBn32UvIRJUlWnk+8xDCiG76hXVBbX82NZ/ZKr0euIg==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linuxmusl-x64/-/sharp-linuxmusl-x64-0.35.4.tgz",
+      "integrity": "sha512-f+eZJZIQNEEd26RPSW+76chwOf1XtA2Y/O+5ocVyLliHkeih3e+jhLVBdNTd2rS3IbNXK8+ug93Vf5ZXtF5Lxg==",
       "cpu": [
         "x64"
       ],
+      "libc": [
+        "musl"
+      ],
       "license": "Apache-2.0",
       "optional": true,
       "os": [
@@ -1847,17 +1895,17 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linuxmusl-x64": "1.3.2"
+        "@img/sharp-libvips-linuxmusl-x64": "1.3.3"
       }
     },
     "node_modules/@img/sharp-wasm32": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-wasm32/-/sharp-wasm32-0.35.3.tgz",
-      "integrity": "sha512-cZ0XkcYGpHZkqW6iCkqTcmUC0CD9DhD5d/qeZlZkfRBn6GnHniZXLUo5+9xw8Iv76YE6LQFN9YNBlKREcCG76w==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-wasm32/-/sharp-wasm32-0.35.4.tgz",
+      "integrity": "sha512-zQnl4Kwp7Q6NHsENtU2T/00Zi+w3AQNwz3+UaTyVBy2FpXrzXzGjndpK61onhZjRtRpQXxCTeqw19bVyXOh7jA==",
       "license": "Apache-2.0 AND LGPL-3.0-or-later AND MIT",
       "optional": true,
       "dependencies": {
-        "@emnapi/runtime": "^1.11.1"
+        "@emnapi/runtime": "^1.11.3"
       },
       "engines": {
         "node": ">=20.9.0"
@@ -1867,16 +1915,16 @@
       }
     },
     "node_modules/@img/sharp-webcontainers-wasm32": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-webcontainers-wasm32/-/sharp-webcontainers-wasm32-0.35.3.tgz",
-      "integrity": "sha512-2rnq7bX3NzeR2T4YWgz8qiG4h3TSdMe+vN1iQXpJleSJ3SM5zQ8Fy2SyyXAWlbxpEZ2Y+Z4u1BePgJEYbSy80Q==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-webcontainers-wasm32/-/sharp-webcontainers-wasm32-0.35.4.tgz",
+      "integrity": "sha512-ESfNkywmCfPNyaZjxooddJQiQ+l/nTpGEOGthxiLnIHXC/CmcBixnfwUleX9mCz9ovrUUvKMap/pm8RYbzfwaA==",
       "cpu": [
         "wasm32"
       ],
       "license": "Apache-2.0",
       "optional": true,
       "dependencies": {
-        "@img/sharp-wasm32": "0.35.3"
+        "@img/sharp-wasm32": "0.35.4"
       },
       "engines": {
         "node": ">=20.9.0"
@@ -1886,9 +1934,9 @@
       }
     },
     "node_modules/@img/sharp-win32-arm64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-win32-arm64/-/sharp-win32-arm64-0.35.3.tgz",
-      "integrity": "sha512-4bPwFdMbeC4JQ8L8LOyWp6nsHcboP5fxkp6iPOXz2Vg49R42TuMs2whkJ5OAP4/Ul035qOzy0AecOF9VOscn4w==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-win32-arm64/-/sharp-win32-arm64-0.35.4.tgz",
+      "integrity": "sha512-iNdlBX9gLVvqe2I3uIJSIKTq6wckP/DYxZtcqxm09x5Gi24DnFBmPAWZmr60ZyYMG0xlzo6goG3670ar+RXvRw==",
       "cpu": [
         "arm64"
       ],
@@ -1905,9 +1953,9 @@
       }
     },
     "node_modules/@img/sharp-win32-ia32": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-win32-ia32/-/sharp-win32-ia32-0.35.3.tgz",
-      "integrity": "sha512-r53mXsBN6lFUDiST764SvgwUdHAqM4rPAiDzAmf4fLoB6X/rkfyTrLCg6+g17wJJiCmB3JYgHuUldCWUIRFSXw==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-win32-ia32/-/sharp-win32-ia32-0.35.4.tgz",
+      "integrity": "sha512-kqRsbaa5CS6KHlpxnN7WhE6vAAugXyZButpRdvDWetlv6Qv4N9WTcrWzF7tXfB9T7MsoadqdI8hmwLq6UlLvtw==",
       "cpu": [
         "ia32"
       ],
@@ -1924,9 +1972,9 @@
       }
     },
     "node_modules/@img/sharp-win32-x64": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/@img/sharp-win32-x64/-/sharp-win32-x64-0.35.3.tgz",
-      "integrity": "sha512-D4y1vNeZrIIJCN+uHaWVtH86B+aCrdMYYjicy9pXHvbGZeGYLLSd3wdVuC37FxVXlU1ARsk84eKWfWMXGYEqvA==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-win32-x64/-/sharp-win32-x64-0.35.4.tgz",
+      "integrity": "sha512-XtmnYhBcrORsJ4XJngyzr/EWP0hRZLAZRFaApdKuviyqF78+ylxh2y06ZmtULAMOnObJ3ucpN0AcwSWnMowTRg==",
       "cpu": [
         "x64"
       ],
@@ -7930,9 +7978,9 @@
       "license": "MIT"
     },
     "node_modules/js-yaml": {
-      "version": "4.3.1",
-      "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.3.1.tgz",
-      "integrity": "sha512-CY6crGq313MX8GkwvB7tzgp99vjQxY1++5y10/BKN/GUfHqWaOGQMNZkBvqSzsZKWk/ijwHlWzzkLulsGHhjWQ==",
+      "version": "4.3.2",
+      "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.3.2.tgz",
+      "integrity": "sha512-SFNOvSJ+Dgf/9An904Yx+CgSlIPCkIpao4qo51lpee25TIRejdH3rhR4EZMGoNx3/TP3O+wzWuiTFl4sqbltzA==",
       "dev": true,
       "funding": [
         {
@@ -11183,9 +11231,9 @@
       }
     },
     "node_modules/sharp": {
-      "version": "0.35.3",
-      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.35.3.tgz",
-      "integrity": "sha512-ej0zVHuZGHCiABXcNxeYhpRnPNPAcvbG8RMdBAhDAxLKkCRVSpK3Iyu7qbqw3JMzoj0REeM6f3tJLtVwl0023Q==",
+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.35.4.tgz",
+      "integrity": "sha512-n++8XWcj+jCOr2IOl7h8LbKnGBDY4aPbmprMONBNFdn0ImXqpGVv5zliDs0V9HbmbCQLpbuo2ej9rAoOQTvMDA==",
       "license": "Apache-2.0",
       "optional": true,
       "dependencies": {
@@ -11200,31 +11248,31 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-darwin-arm64": "0.35.3",
-        "@img/sharp-darwin-x64": "0.35.3",
-        "@img/sharp-freebsd-wasm32": "0.35.3",
-        "@img/sharp-libvips-darwin-arm64": "1.3.2",
-        "@img/sharp-libvips-darwin-x64": "1.3.2",
-        "@img/sharp-libvips-linux-arm": "1.3.2",
-        "@img/sharp-libvips-linux-arm64": "1.3.2",
-        "@img/sharp-libvips-linux-ppc64": "1.3.2",
-        "@img/sharp-libvips-linux-riscv64": "1.3.2",
-        "@img/sharp-libvips-linux-s390x": "1.3.2",
-        "@img/sharp-libvips-linux-x64": "1.3.2",
-        "@img/sharp-libvips-linuxmusl-arm64": "1.3.2",
-        "@img/sharp-libvips-linuxmusl-x64": "1.3.2",
-        "@img/sharp-linux-arm": "0.35.3",
-        "@img/sharp-linux-arm64": "0.35.3",
-        "@img/sharp-linux-ppc64": "0.35.3",
-        "@img/sharp-linux-riscv64": "0.35.3",
-        "@img/sharp-linux-s390x": "0.35.3",
-        "@img/sharp-linux-x64": "0.35.3",
-        "@img/sharp-linuxmusl-arm64": "0.35.3",
-        "@img/sharp-linuxmusl-x64": "0.35.3",
-        "@img/sharp-webcontainers-wasm32": "0.35.3",
-        "@img/sharp-win32-arm64": "0.35.3",
-        "@img/sharp-win32-ia32": "0.35.3",
-        "@img/sharp-win32-x64": "0.35.3"
+        "@img/sharp-darwin-arm64": "0.35.4",
+        "@img/sharp-darwin-x64": "0.35.4",
+        "@img/sharp-freebsd-wasm32": "0.35.4",
+        "@img/sharp-libvips-darwin-arm64": "1.3.3",
+        "@img/sharp-libvips-darwin-x64": "1.3.3",
+        "@img/sharp-libvips-linux-arm": "1.3.3",
+        "@img/sharp-libvips-linux-arm64": "1.3.3",
+        "@img/sharp-libvips-linux-ppc64": "1.3.3",
+        "@img/sharp-libvips-linux-riscv64": "1.3.3",
+        "@img/sharp-libvips-linux-s390x": "1.3.3",
+        "@img/sharp-libvips-linux-x64": "1.3.3",
+        "@img/sharp-libvips-linuxmusl-arm64": "1.3.3",
+        "@img/sharp-libvips-linuxmusl-x64": "1.3.3",
+        "@img/sharp-linux-arm": "0.35.4",
+        "@img/sharp-linux-arm64": "0.35.4",
+        "@img/sharp-linux-ppc64": "0.35.4",
+        "@img/sharp-linux-riscv64": "0.35.4",
+        "@img/sharp-linux-s390x": "0.35.4",
+        "@img/sharp-linux-x64": "0.35.4",
+        "@img/sharp-linuxmusl-arm64": "0.35.4",
+        "@img/sharp-linuxmusl-x64": "0.35.4",
+        "@img/sharp-webcontainers-wasm32": "0.35.4",
+        "@img/sharp-win32-arm64": "0.35.4",
+        "@img/sharp-win32-ia32": "0.35.4",
+        "@img/sharp-win32-x64": "0.35.4"
       },
       "peerDependenciesMeta": {
         "@types/node": {
diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json
index 5dd70dff4fe..9786d5c1d6e 100644
--- a/ui/litellm-dashboard/package.json
+++ b/ui/litellm-dashboard/package.json
@@ -96,7 +96,7 @@
   },
   "overrides": {
     "prismjs": "1.30.0",
-    "js-yaml": "4.3.1",
+    "js-yaml": "4.3.2",
     "brace-expansion": "5.0.9",
     "glob": "13.0.0",
     "minimatch": "10.2.4",
@@ -105,7 +105,7 @@
     "axios": "1.13.6",
     "postcss": "8.5.23",
     "esbuild": "0.28.1",
-    "sharp": "^0.35.0"
+    "sharp": "^0.35.4"
   },
   "engines": {
     "node": ">=24.14.1",
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.test.tsx
index 995104d4b7f..96ace129f87 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.test.tsx
@@ -9,7 +9,9 @@ vi.mock("@/components/networking", () => ({
 const mockMessagesStream = vi.fn();
 
 vi.mock("@anthropic-ai/sdk", () => ({
-  default: vi.fn(() => ({ messages: { stream: mockMessagesStream } })),
+  default: vi.fn(function () {
+    return { messages: { stream: mockMessagesStream } };
+  }),
 }));
 
 describe("anthropic_messages prompt cache usage", () => {
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_speech.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_speech.test.tsx
index dbfe8a39959..17f5d0f28a4 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_speech.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_speech.test.tsx
@@ -20,13 +20,15 @@ describe("audio_speech", () => {
     });
 
     // Mock the OpenAI constructor and its methods
-    (OpenAI as any).mockImplementation(() => ({
-      audio: {
-        speech: {
-          create: mockCreate,
+    (OpenAI as any).mockImplementation(function () {
+      return {
+        audio: {
+          speech: {
+            create: mockCreate,
+          },
         },
-      },
-    }));
+      };
+    });
   });
 
   afterEach(() => {
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_transcriptions.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_transcriptions.test.tsx
index 65b11e7f7d8..52561e5d42e 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_transcriptions.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_transcriptions.test.tsx
@@ -16,13 +16,15 @@ describe("audio_transcription", () => {
     });
 
     // Mock the OpenAI constructor and its methods
-    (OpenAI as any).mockImplementation(() => ({
-      audio: {
-        transcriptions: {
-          create: mockCreate,
+    (OpenAI as any).mockImplementation(function () {
+      return {
+        audio: {
+          transcriptions: {
+            create: mockCreate,
+          },
         },
-      },
-    }));
+      };
+    });
   });
 
   afterEach(() => {
diff --git a/ui/litellm-dashboard/src/components/llm_calls/chat_completion.test.tsx b/ui/litellm-dashboard/src/components/llm_calls/chat_completion.test.tsx
index bc4b4e3a351..08b02cacb21 100644
--- a/ui/litellm-dashboard/src/components/llm_calls/chat_completion.test.tsx
+++ b/ui/litellm-dashboard/src/components/llm_calls/chat_completion.test.tsx
@@ -20,7 +20,9 @@ const mockClient = {
 
 vi.mock("openai", () => ({
   default: {
-    OpenAI: vi.fn(() => mockClient),
+    OpenAI: vi.fn(function () {
+      return mockClient;
+    }),
   },
 }));
 
diff --git a/ui/litellm-dashboard/src/components/llm_calls/responses_api.test.tsx b/ui/litellm-dashboard/src/components/llm_calls/responses_api.test.tsx
index 0b94c093acd..ae5e224cfbf 100644
--- a/ui/litellm-dashboard/src/components/llm_calls/responses_api.test.tsx
+++ b/ui/litellm-dashboard/src/components/llm_calls/responses_api.test.tsx
@@ -16,7 +16,9 @@ const mockClient = {
 
 vi.mock("openai", () => ({
   default: {
-    OpenAI: vi.fn(() => mockClient),
+    OpenAI: vi.fn(function () {
+      return mockClient;
+    }),
   },
 }));
 

From a4f865b1bec11278f3d98f84e9a3f335a714c6dc Mon Sep 17 00:00:00 2001
From: moe-berri <moe@berri.ai>
Date: Tue, 8 Sep 2026 16:04:16 -0700
Subject: [PATCH 151/223] refactor(ui): extract hydrateBuiltInTiers so the edit
 modal stays under max-lines

Upstream's edit_auto_router_modal.tsx sits at 799 countable lines, one under the
800 cap, so this PR's 11 added lines put the merge result over. The built-in tier
hydration moves next to its sibling hydrators in build_complexity_router_config,
which is where hydrateCustomTierSet and hydrateTierLabels already live.
---
 .../build_complexity_router_config.ts         | 20 +++++++++++++++++++
 .../edit_auto_router_modal.tsx                | 20 +++++--------------
 2 files changed, 25 insertions(+), 15 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
index 0fa2268f2ed..5b53941bc10 100644
--- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
+++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts
@@ -385,6 +385,26 @@ export const customTierWireFields = (
   };
 };
 
+/** The built-in tier pools and the opt-in flag, read back from a stored config. `tiers` is
+ * rewritten wholesale on save, so a stored tier this misses is deleted by any unrelated edit. */
+export const hydrateBuiltInTiers = (
+  storedTiers: Partial<Record<keyof ComplexityTiers, unknown>> | undefined,
+  storedFlag: boolean | undefined,
+): { tiers: ComplexityTiers; enable_non_reasoning_tier: boolean } => {
+  const nonReasoning: string[] = normalizeTierModels(storedTiers?.NON_REASONING);
+  const enable_non_reasoning_tier: boolean = storedFlag === true || nonReasoning.length > 0;
+  return {
+    enable_non_reasoning_tier,
+    tiers: {
+      SIMPLE: normalizeTierModels(storedTiers?.SIMPLE),
+      MEDIUM: normalizeTierModels(storedTiers?.MEDIUM),
+      COMPLEX: normalizeTierModels(storedTiers?.COMPLEX),
+      REASONING: normalizeTierModels(storedTiers?.REASONING),
+      ...(enable_non_reasoning_tier && { NON_REASONING: nonReasoning }),
+    },
+  };
+};
+
 // plan_mode_min_tier rides the strip list because the base payload carries it as a row id;
 // customTierWireFields re-emits it as the row's name, and an unresolvable floor stays off.
 const CUSTOM_TIER_STRIPPED_KEYS: readonly string[] = [...CUSTOM_TIER_OMITTED_KEYS, "plan_mode_min_tier"];
diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
index 76082a9444f..8a62e86e842 100644
--- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
+++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx
@@ -14,7 +14,7 @@ import ModelChoiceCombobox, { type ModelChoice } from "../add_model/ModelChoiceC
 import { modelAvailableCall, modelPatchUpdateCall, validateAutoRouterConfig } from "../networking";
 import { fetchAvailableModels, ModelGroup } from "@/components/llm_calls/fetch_models";
 import RouterConfigBuilder from "../add_model/RouterConfigBuilder";
-import { hydrateTierModelParams, normalizeTierModels } from "../add_model/complexity_router_tiers";
+import { hydrateTierModelParams } from "../add_model/complexity_router_tiers";
 import {
   type ActiveTierSet,
   CUSTOM_TIER_OMITTED_KEYS,
@@ -34,6 +34,7 @@ import {
   getSemanticConfigError,
   getPlanModeTierError,
   getTierLabelsError,
+  hydrateBuiltInTiers,
   hydrateCustomTierSet,
   hydratePlanModeMinTier,
   hydrateTierLabels,
@@ -139,21 +140,10 @@ export const hydrateComplexityRouterConfig = (
   parsedConfig: StoredComplexityRouterConfig,
   complexityRouterDefaultModel: string | null | undefined,
 ): ComplexityRouterConfigValue => {
-  // `tiers` is rewritten wholesale on save, so a stored tier this misses is deleted by any edit,
-  // including one made for an unrelated reason. Hence reading both back rather than assuming four.
-  const storedNonReasoning: string[] = normalizeTierModels(parsedConfig.tiers?.NON_REASONING);
-  const enable_non_reasoning_tier: boolean =
-    parsedConfig.enable_non_reasoning_tier === true || storedNonReasoning.length > 0;
-  const hydratedTiers: ComplexityTiers = {
-    SIMPLE: normalizeTierModels(parsedConfig.tiers?.SIMPLE),
-    MEDIUM: normalizeTierModels(parsedConfig.tiers?.MEDIUM),
-    COMPLEX: normalizeTierModels(parsedConfig.tiers?.COMPLEX),
-    REASONING: normalizeTierModels(parsedConfig.tiers?.REASONING),
-    ...(enable_non_reasoning_tier && { NON_REASONING: storedNonReasoning }),
-  };
-
+  const builtIn = hydrateBuiltInTiers(parsedConfig.tiers, parsedConfig.enable_non_reasoning_tier);
+  const { tiers: hydratedTiers, enable_non_reasoning_tier } = builtIn;
   const custom_tier_set = hydrateCustomTierSet(parsedConfig);
-  const activeTiers = { tiers: hydratedTiers, enable_non_reasoning_tier, custom_tier_set };
+  const activeTiers = { ...builtIn, custom_tier_set };
 
   return {
     tiers: hydratedTiers,

From d75176f14a9df30cbb93c3075475981c5a3e3c1b Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 16:13:58 -0700
Subject: [PATCH 152/223] test(ui): align workflow expectations with Vitest 4

---
 tests/test_litellm/test_select_ui_test_scope.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_litellm/test_select_ui_test_scope.py b/tests/test_litellm/test_select_ui_test_scope.py
index c395e07bc79..bc11fb495aa 100644
--- a/tests/test_litellm/test_select_ui_test_scope.py
+++ b/tests/test_litellm/test_select_ui_test_scope.py
@@ -29,7 +29,7 @@ SCOPE_SCRIPT = REPO_ROOT / ".github" / "scripts" / "select_ui_test_scope.sh"
 WORKFLOW = REPO_ROOT / ".github" / "workflows" / "test-litellm-ui-unit.yml"
 STEP_NAME = "Run UI unit tests (Vitest)"
 
-FULL_SUITE_ARGV = ["run", "test", "--", "--run", "--pool", "forks", "--poolOptions.forks.maxForks=14"]
+FULL_SUITE_ARGV = ["run", "test", "--", "--run", "--pool", "forks", "--maxWorkers=14"]
 
 NON_SRC_FILES = [
     "package.json",
@@ -135,7 +135,7 @@ def _related_argv(changed: list[str]) -> list[str]:
         "--passWithNoTests",
         "--pool",
         "forks",
-        "--poolOptions.forks.maxForks=14",
+        "--maxWorkers=14",
     ]
 
 

From b624fd8c4f30eb15b0e55ccf410640806297784a Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 16:18:06 -0700
Subject: [PATCH 153/223] fix(mlflow): prevent _stream_id_to_span leak and
 mlflow 2.x end_trace TypeError (#39049)

---
 litellm/integrations/mlflow.py                | 28 ++++----
 .../test_litellm/integrations/test_mlflow.py  | 67 +++++++++++++++++++
 2 files changed, 81 insertions(+), 14 deletions(-)

diff --git a/litellm/integrations/mlflow.py b/litellm/integrations/mlflow.py
index a2f0b7cf39c..8731e96440f 100644
--- a/litellm/integrations/mlflow.py
+++ b/litellm/integrations/mlflow.py
@@ -133,17 +133,17 @@ class MlflowLogger(CustomLogger):
         if final_response:
             end_time_ns: Final = int(end_time.timestamp() * 1e9)
 
-            self._extract_and_set_chat_attributes(span, kwargs, final_response)
-            self._end_span_or_trace(
-                span=span,
-                outputs=final_response,
-                status=SpanStatusCode.OK,
-                end_time_ns=end_time_ns,
-            )
-
-            # Remove the stream_id from the map
-            with self._lock:
-                self._stream_id_to_span.pop(litellm_call_id)
+            try:
+                self._extract_and_set_chat_attributes(span, kwargs, final_response)
+                self._end_span_or_trace(
+                    span=span,
+                    outputs=final_response,
+                    status=SpanStatusCode.OK,
+                    end_time_ns=end_time_ns,
+                )
+            finally:
+                with self._lock:
+                    self._stream_id_to_span.pop(litellm_call_id, None)
 
     def _add_chunk_events(self, span, response_obj):
         from mlflow.entities import SpanEvent
@@ -282,15 +282,15 @@ class MlflowLogger(CustomLogger):
         """End an MLflow span or a trace."""
         if span.parent_id is None:
             self._client.end_trace(
-                trace_id=span.request_id,
+                span.request_id,
                 outputs=outputs,
                 status=status,
                 end_time_ns=end_time_ns,
             )
         else:
             self._client.end_span(
-                trace_id=span.request_id,
-                span_id=span.span_id,
+                span.request_id,
+                span.span_id,
                 outputs=outputs,
                 status=status,
                 end_time_ns=end_time_ns,
diff --git a/tests/test_litellm/integrations/test_mlflow.py b/tests/test_litellm/integrations/test_mlflow.py
index 61010f8531c..f828c34a9ff 100644
--- a/tests/test_litellm/integrations/test_mlflow.py
+++ b/tests/test_litellm/integrations/test_mlflow.py
@@ -195,3 +195,70 @@ def test_mlflow_stream_handler_uses_async_complete_response():
             is final_response
         )
         assert "abc123" not in mlflow_logger._stream_id_to_span
+
+
+def test_mlflow_stream_handler_pops_span_when_end_raises():
+    modules = _mock_mlflow_modules()
+    with patch.dict("sys.modules", modules):
+        from litellm.integrations.mlflow import MlflowLogger
+
+        mlflow_logger = MlflowLogger()
+        mlflow_logger._start_span_or_trace = MagicMock(return_value="mock_span")
+        mlflow_logger._end_span_or_trace = MagicMock(
+            side_effect=TypeError("unexpected keyword argument 'trace_id'")
+        )
+        mlflow_logger._extract_and_set_chat_attributes = MagicMock()
+
+        response_obj = MagicMock()
+        response_obj.choices = []
+
+        kwargs = {
+            "litellm_call_id": "leak123",
+            "complete_streaming_response": MagicMock(),
+        }
+
+        with pytest.raises(TypeError):
+            mlflow_logger._handle_stream_event(
+                kwargs=kwargs,
+                response_obj=response_obj,
+                start_time=datetime.utcnow(),
+                end_time=datetime.utcnow(),
+            )
+
+        assert "leak123" not in mlflow_logger._stream_id_to_span
+
+
+class _Mlflow2StyleClient:
+    """Mimics the mlflow 2.x client signatures, which have no trace_id kwarg."""
+
+    def __init__(self):
+        self.ended_traces = []
+        self.ended_spans = []
+
+    def end_trace(self, request_id, outputs=None, attributes=None, status="OK", end_time_ns=None):
+        self.ended_traces.append(request_id)
+
+    def end_span(self, request_id, span_id, outputs=None, attributes=None, status="OK", end_time_ns=None):
+        self.ended_spans.append((request_id, span_id))
+
+
+def test_mlflow_end_span_or_trace_works_with_mlflow_2x_client():
+    modules = _mock_mlflow_modules()
+    with patch.dict("sys.modules", modules):
+        from litellm.integrations.mlflow import MlflowLogger
+
+        mlflow_logger = MlflowLogger()
+        client = _Mlflow2StyleClient()
+        mlflow_logger._client = client
+
+        root_span = MagicMock(parent_id=None, request_id="req-1")
+        mlflow_logger._end_span_or_trace(
+            span=root_span, outputs="out", end_time_ns=1, status="OK"
+        )
+        assert client.ended_traces == ["req-1"]
+
+        child_span = MagicMock(parent_id="parent-1", request_id="req-2", span_id="span-2")
+        mlflow_logger._end_span_or_trace(
+            span=child_span, outputs="out", end_time_ns=1, status="OK"
+        )
+        assert client.ended_spans == [("req-2", "span-2")]

From 3165951e6d0b795290ddb18453984a14bff9bf5c Mon Sep 17 00:00:00 2001
From: yucheng-berri <yucheng@berri.ai>
Date: Tue, 8 Sep 2026 16:23:21 -0700
Subject: [PATCH 154/223] feat(otel v2): send a key's or team's whole trace to
 its own destination (#39654)

* feat(otel v2): send a key's or team's whole trace to its own destination

A key or team that configures its own Langfuse, Arize, Weave or New Relic
credentials used to get a single detached span in its account while the rest of
the request trace stayed on the operator's backend, so neither side held a
complete trace. Resolve the destination during auth, forward every span of the
request to it, and hold the same request back from the operator's exporter for
that backend, so the tenant gets the tree the operator would have seen and the
operator gets nothing for that request.

Also let a credential-mandatory preset build without the operator's own env
credentials. Without that, a proxy whose teams each bring their own account fell
back to the legacy integration and never ran a line of the v2 path.

* fix(otel v2): validate tenant destinations and match each backend's own endpoint

Review round on the tenant destination routing.

- A key/team Langfuse host is user-supplied input, so it goes through the
  proxy's SSRF guard. A private address is refused, the operator keeps the
  trace, and the warning names user_url_allowed_hosts. The operator's own
  LANGFUSE_HOST is not checked.
- Arize and Weave destinations now resolve their endpoint and transport
  through the backend's own config, so an ARIZE_HTTP_ENDPOINT collector and
  a self-hosted WANDB_HOST are honoured instead of the cloud default.
- A half-configured backend no longer resolves: several dynamic header
  builders gate each credential separately, so an api key with no space id
  produced a non-empty but unusable header set that suppressed the
  operator's exporter.
- A callback_type of "failure" no longer takes over the trace. The
  destination is resolved during auth, before the outcome is known.
- The fan-out cache evicts without shutting the processor down, matching
  ArizePhoenixLogger: a concurrent on_end may still hold it.
- The stdout placeholder is identified by what it does rather than by
  equality with an import-time default, so an operator's OTEL_EXPORTER_OTLP_*
  collector survives the credential-less path.

* refactor(otel v2): reuse the proxy's own destination allowlist for tenant hosts

A tenant-supplied Langfuse host is the same threat as a URL-valued `model`, so
it now goes through `is_url_destination_allowed_by_host` against
`provider_url_destination_allowed_hosts` instead of a second, DNS-based check
of its own. The DNS lookup would have blocked the asyncio auth path on a
hostname the caller picked, and its cached verdicts could blackhole a real host
after one resolver blip.

Evicting a destination processor now retires it to drain rather than shutting it
down, since `on_end` hands a processor back and exports outside the lock. The
retirees are capped so they cannot accumulate a thread each.

`credential_gated_exporters` tells the synthesized stdout placeholder from a
real exporter by transport rather than by the literal kind `console`, so an
unrecognized kind is not mistaken for a configured collector, and an exporter
the operator did configure survives. That also stops a weave test's env writes
from making this look like a real OTLP exporter later in the same CI worker.

* fix(otel v2): read the tenant's stored callback config the way the sibling parser does

Three divergences between the destination resolver and
`convert_key_logging_metadata_to_callback`, which read the same stored config:

- A key whose callbacks are disabled stores an empty list, and `or` treated that
  as "the key configured nothing", so the request inherited the team's
  destination. The sibling parser treats an empty list as configured.
- Two entries naming one backend now merge their `callback_vars` last-wins,
  matching the sibling, instead of the resolver taking the first entry and the
  per-request tracer routing taking the last.
- `credential_gated_exporters` dropped any exporter whose kind had no transport,
  which also dropped an `in_memory` exporter the operator asked for. The
  placeholder is the spec with every field still at its default, so that is what
  the predicate now says.

Arize's `allow_missing_credentials` branch was unreachable: `get_arize_config`
resolves every credential with `os.environ.get` and always supplies an endpoint,
so it never raises. Dropped it and corrected the protocol docstring.

* fix(otel v2): keep the destination merge immutable

The per-backend var merge seeded a plain dict and the gated exporter list a plain
list, both of which the LIT budget counts. Wrap the merge in MappingProxyType and
hand the exporters back as a tuple.

* fix(otel v2): scope the fan-out to its own backend and close shed processors off the export path

Three problems in the fan-out, two of them in the eviction added last round:

- Every v2 logger carries its own provider and emits its own copy of a gen-AI
  span, so a proxy running two of them handed the tenant the same model call
  twice. A provider now forwards only destinations for the backend it speaks
  for; the tenant's own backend always has a logger, since naming it in the key
  or team config is what builds one. Reproduced live against a self-hosted
  Langfuse on an arize-only proxy and on the bare `otel` callback.
- Eviction could close a processor another thread was still exporting through,
  which drops that span. Exports are now counted, and a retired processor is
  closed only once its count reaches zero.
- That close ran inside `on_end`, where `shutdown` flushes over the network, so
  one unreachable tenant collector stalled every other tenant's spans. It now
  runs on a short-lived thread, which also retires the retiree cap: a retiree
  drains as soon as its export finishes.

* fix(otel v2): deliver tenant destinations from the published global provider

Scoping the fan-out by callback name in the previous commit left every backend
that is not the canonical logger with a one-span trace: only the published
global provider sees the FastAPI server span, the auth span and the post-call
database spans, so an arize-only proxy handed a team's Langfuse just the model
call. Attach the fan-out once, to that provider, and let it forward every
destination.

An overridden backend now skips per-request tracer routing outright rather than
only clearing its credential headers, since a key or team otel_service_name was
still enough to detach the model call onto a second provider. The destination
carries that service name as a resource attribute instead.

Shed processors drain on a two-thread pool rather than a thread each, so a
tenant cycling its destination config cannot spawn threads as fast as it sends
requests.

* fix(otel v2): drain shed destination processors on daemon workers

A ThreadPoolExecutor joins its workers at interpreter exit, so one unreachable
tenant collector would hold the whole proxy open for its export timeout on the
way down. Two long-lived daemon workers off a queue keep the thread count
bounded without blocking shutdown.

* fix(otel v2): give the fan-out its own drain pool instead of a lazy singleton

functools.lru_cache does not hold a lock across the call it caches, so
concurrent first evictions each finish building a queue and start its
workers, and every queue but the winner is abandoned with two daemon
threads blocked on it forever.

* fix(otel v2): close no destination processor under a span still in flight

The fan-out now refuses new work once shutdown starts and waits out the
spans already being forwarded, so teardown neither drops a trace mid-forward
nor hands the next caller an exporter nothing will ever close. The wait is
bounded so a dead collector cannot hold the proxy open.

* fix(otel v2): retire the drain workers with the fan-out that started them

A proxy that rebuilds its telemetry builds another fan-out, so workers that
outlive the one that started them are two more threads per reload. Shutdown
now retires them once everything queued is closed, and a processor shed
afterwards is closed inline rather than queued to nobody.

* fix(otel v2): guard the fan-out's closed state with the lock that gates it

An Event read on its own leaves room for shutdown to run in the gap. A cache
miss then inserted a live exporter into a map that had been cleared, and a
shed processor landed behind sentinels every drain worker had exited on.
The drain pool takes its queue by injection so both interleavings are
reachable from a test without patching.

* feat(otel v2): let a tenant destination export alongside the operator's own

Override stays the default: a key or team destination replaces the operator's
exporter for that backend. Operators running one org-wide backend across every
team set litellm_settings.otel_tenant_destination_mode to additive, and the
same trace lands in both places. A team that names the operator's own project
is still written once, since the fan-out skips a destination the operator's
exporter is already sending that span to.

* fix(otel v2): let a straggling export close its own destination processor

Shutdown waits out the exports in flight, but the wait has to be bounded or a
tenant collector that stops answering holds the proxy open on the way down.
Past the bound it closed everything anyway, which is the case it was written to
avoid: a processor closed under the span it is carrying loses that span.

Keep the bound and retire the stragglers instead. The thread still exporting one
closes it through the drain as soon as its export returns, so teardown stays
bounded and no span is dropped mid-forward.

* fix(otel v2): identify a destination account by its credentials, not its header names

Under additive the fan-out skips a destination the operator's own exporter
already writes to, so the same account is not written twice. It compared header
names as well as values, and one account answers to more than one spelling:
the operator's Arize exporter sends space_id where a team destination sends
arize-space-id, so every span landed in the operator's own space twice.

The credentials are the identity. Compare those and leave the spelling to each
backend.

* fix(otel v2): keep the credential's role in a destination's account identity

Comparing values alone folds two accounts together whenever they hold the same
strings in different roles, and the second team would then get no trace at all.
Compare the credential under a normalized name instead, and fold the one alias
that actually exists: Arize's space_id and arize-space-id.

* fix(otel v2): build one destination processor per destination, not per racing span

Building outside the cache lock meant a cold cache met by a burst of concurrent
requests constructed an exporter per thread, kept one, and handed the rest to the
drain, so a batch worker and a connection pool per losing thread sat in a queue
two workers service.

Build under the lock that reads the cache. Opening an exporter connects to
nothing, so the lock is held for a constructor, once per destination, and the
race it was avoiding stops existing.

* fix(otel v2): bound the teardown that closes a destination, not the one that never blocks

The five-second bound guarded the wait for spans still inside on_end, but a
batching processor's on_end only queues the span and returns, so that counter is
empty and the bound engaged against nothing. The blocking half was the serial
close, which flushes over the network and joins the SDK's own worker thread with
no timeout of its own, so a single tenant collector that answers and never
finishes held process teardown open for as long as it liked.

Hand every close to the drain, whose workers are daemons, and give the whole
teardown one deadline.

* fix(otel v2): preserve operator spans on destination failure

* fix(otel v2): anchor destinations off the published provider, refuse headerless tenant transports

set_tracer_provider keeps the first provider it is handed, so a process whose
OTel global was claimed before the proxy published (auto-instrumentation, a
legacy logger) had no fan-out on the global and auth anchored no destination.
Auth now reads the fan-out off the registered logger's own provider.

A destination whose protocol maps to a headerless exporter kind is no longer
buildable: the console fallback would drop the tenant's credentials and print
the spans to stdout while the operator's exporter stood down for them.

* fix(otel): anchor tenant fan-out to the published provider

A legacy v1 logger can occupy proxy_server.open_telemetry_logger, in which case
the proxy publishes with registered=None and the fan-out lands on a v2 logger
taken from _in_memory_loggers. Reading the registered slot found no v2 logger
and the OTel global belonged to v1, so auth refused every tenant destination.

* fix(otel): preserve registered provider fallback

* test(otel): cover pre-publish provider fallback

* fix(otel): attach fan-out on fallback provider

* fix(otel): serialize first fan-out attach

* fix(otel): keep the operator's database endpoint out of tenant traces

A database span forwarded to a key or team destination carried the proxy's own
Postgres host, port and schema, and on failure the Prisma error text naming them.
The fan-out now hands tenants a view of each database span without those keys,
its events or its status text, while the operator's own copy is untouched and
model endpoints such as server.address on the LLM span still travel

* fix(otel): keep relabelled spans in the fan-out and honour disabled callbacks for destinations

A key or team otel_service_name used to move a backend's span onto a second
provider even when another backend had a destination, so the fan-out never saw
the model call and the tenant's trace lost it. A service name alone now stays on
the published provider whenever the request has a destination; credential and
project routing to a tenant's own account is unchanged

Destinations now skip a backend the request disabled dynamically, reading the
x-litellm-disable-callbacks header and the key's litellm_disabled_callbacks with
the same precedence and premium gate dispatch applies, so a disabled backend is
neither delivered to nor withheld from the operator

* test(otel): project routing survives a sibling backend destination

* docs(otel): state why a disabled backend still routes its own span

* fix(otel): keep a degraded backend's spans off a collector another v2 logger already serves

* test(otel): a credentialed preset beside another v2 logger keeps every exporter

* fix(otel): keep credentialless fallback on base path

* test(otel): cover legacy callback carrier rejection

* fix(otel): preserve valid exporter beside gated preset

* fix(otel): avoid console export without operator destination

* refactor(otel): share the console placeholder check with the presets

* fix(otel): bound shed destination processors waiting on a dead collector

* fix(otel): preserve explicit console exporters

* fix(otel): avoid mutable field-set construction

* fix(otel): close drain saturation race

* fix(otel): drop captured request headers from tenant spans

* test(otel v2): give the newrelic dispatch tests operator credentials, since a credential-less preset now falls back

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(otel): rebuild an anchored destination's processor past drain saturation

A destination deliverable() accepted at auth can be evicted by other tenants' auths
before its request's spans end, and that eviction is what tips the drain over. The
saturation gate then refused the rebuild at on_end, and with the operator's exporter
already stood down for that backend the span went nowhere. The gate now applies only
while a request decides whether to anchor

* fix(otel): hold destination eviction while the drain is saturated

An anchored destination evicted by other tenants' auths is rebuilt on its
next span, and that rebuild evicted another anchored one, so with more
destinations in flight than the cache holds every span cost one more
processor, one more batch thread and one more close queued behind a collector
that never answers. Eviction now holds while the drain is saturated, so the
cache keeps one entry per destination in flight and trims back to its cap on
the next hit or build once the drain has room

* fix(otel): keep the proxy's own error text out of tenant traces

A tenant destination received every span the request produced, error text
included, so a Prisma failure during auth handed a team admin's collector the
operator's Postgres endpoint, and the exception event on any failed span carried
a stack trace naming the proxy's install paths.

Spans the tenant's own call produced (the model call, MCP, guardrails) keep their
error text. Every other span keeps the failure without the prose: its type, its
provider error code and its status code, with the message, the events and the
status description dropped. Stack traces come off every span, attribute and event
alike.

A destination's resource attributes now merge onto the span's resource instead of
rebuilding one per span, which was re-running resource detection on every export.

* fix(otel): redact tenant URL query parameters

* fix(otel): close final tenant routing gaps

* fix(otel): refresh destinations for stateful MCP messages

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/__init__.py                           |    3 +
 litellm/integrations/otel/logger.py           |   55 +-
 litellm/integrations/otel/mappers/legacy.py   |    3 +-
 litellm/integrations/otel/model/config.py     |    6 +-
 .../integrations/otel/model/destination.py    |   49 +
 litellm/integrations/otel/model/semconv.py    |    3 +
 litellm/integrations/otel/plumbing/context.py |   68 +-
 .../integrations/otel/plumbing/providers.py   |  690 ++++-
 litellm/integrations/otel/plumbing/routing.py |   16 +-
 litellm/integrations/otel/presets/agentops.py |    1 +
 litellm/integrations/otel/presets/arize.py    |    6 +-
 litellm/integrations/otel/presets/base.py     |   14 +-
 .../integrations/otel/presets/destinations.py |  152 +
 litellm/integrations/otel/presets/langfuse.py |   23 +-
 .../integrations/otel/presets/langtrace.py    |    1 +
 litellm/integrations/otel/presets/levo.py     |    1 +
 litellm/integrations/otel/presets/newrelic.py |    1 +
 litellm/integrations/otel/presets/phoenix.py  |    1 +
 litellm/integrations/otel/presets/utils.py    |   31 +
 litellm/integrations/otel/presets/weave.py    |   21 +-
 litellm/integrations/weave/weave_otel.py      |   20 +-
 litellm/litellm_core_utils/litellm_logging.py |   57 +-
 .../proxy/_experimental/mcp_server/server.py  |   66 +-
 litellm/proxy/auth/user_api_key_auth.py       |   38 +
 litellm/proxy/litellm_pre_call_utils.py       |  140 +
 .../otel/test_otel_v2_destinations.py         | 2719 +++++++++++++++++
 .../integrations/otel/test_otel_v2_logger.py  |    4 +-
 .../test_litellm_logging.py                   |    9 +-
 .../mcp_server/test_mcp_server.py             |   69 +
 29 files changed, 4214 insertions(+), 53 deletions(-)
 create mode 100644 litellm/integrations/otel/model/destination.py
 create mode 100644 litellm/integrations/otel/presets/destinations.py
 create mode 100644 tests/test_litellm/integrations/otel/test_otel_v2_destinations.py

diff --git a/litellm/__init__.py b/litellm/__init__.py
index fc6dc35fe55..ede8a73453d 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -326,6 +326,9 @@ ssl_certificate: Optional[str] = None
 user_url_validation: bool = True
 user_url_allowed_hosts: List[str] = []
 provider_url_destination_allowed_hosts: List[str] = []
+#: "override" (default) or "additive": whether a key or team destination replaces
+#: the operator's exporter for that backend or exports alongside it.
+otel_tenant_destination_mode: str | None = None
 ssl_ecdh_curve: Optional[str] = None  # Set to 'X25519' to disable PQC and improve performance
 disable_streaming_logging: bool = False
 disable_token_counter: bool = False
diff --git a/litellm/integrations/otel/logger.py b/litellm/integrations/otel/logger.py
index 5519896a961..630aa313dc9 100644
--- a/litellm/integrations/otel/logger.py
+++ b/litellm/integrations/otel/logger.py
@@ -16,9 +16,11 @@ from opentelemetry.trace import (
     Span,
     Tracer,
     get_current_span,
+    get_tracer_provider,
     set_span_in_context,
     use_span,
 )
+from opentelemetry.trace import TracerProvider as ApiTracerProvider
 
 import litellm
 from litellm._logging import verbose_logger
@@ -63,6 +65,7 @@ from litellm.integrations.otel.plumbing.metrics import (
     create_genai_metrics,
 )
 from litellm.integrations.otel.plumbing.providers import (
+    attach_tenant_fan_out,
     build_tracer_provider,
     get_event_logger,
     get_meter,
@@ -85,6 +88,7 @@ if TYPE_CHECKING:
     )
 
 LITELLM_TRACER_NAME: Final = "litellm"
+_published_v2_provider: ApiTracerProvider | None = None
 
 
 def _span_error_from_exception(
@@ -180,7 +184,9 @@ class OpenTelemetryV2(CustomLogger):
         self.config: OpenTelemetryV2Config = config or OpenTelemetryV2Config(**kwargs)
         self.callback_name = callback_name
         self._tracer_provider: TracerProvider = (
-            tracer_provider if tracer_provider is not None else build_tracer_provider(self.config)
+            tracer_provider
+            if tracer_provider is not None
+            else build_tracer_provider(self.config, tenant_overrides=True)
         )
         self.tracer: Tracer = get_tracer(self._tracer_provider, LITELLM_TRACER_NAME)
         self._metrics_recorder = self._init_metrics(meter_provider)
@@ -195,6 +201,11 @@ class OpenTelemetryV2(CustomLogger):
         self._open_llm_calls: OrderedDict[str, _LLMCallSpan] = OrderedDict()
         self._init_otel_logger_on_litellm_proxy()
 
+    @property
+    def tracer_provider(self) -> TracerProvider:
+        """The provider this logger emits through, read-only to its callers."""
+        return self._tracer_provider
+
     def _init_metrics(self, meter_provider: "MeterProvider | None") -> "GenAIMetricRecorder | None":
         """Create the six GenAI histograms when metrics are enabled, else ``None``.
 
@@ -863,12 +874,33 @@ def publish_global_otel_v2_provider(
     ``opentelemetry.trace.set_tracer_provider``) are injected so the publish step is
     unit-testable without reading or mutating real global OTel state. Returns the
     logger whose provider was published.
+
+    The published provider is also the one that fans spans out to key/team
+    destinations, because it is the only provider the whole request tree passes
+    through; see :func:`attach_tenant_fan_out`. It is remembered for
+    :func:`fan_out_provider` because neither the OTel global (``set_tracer_provider``
+    keeps the first provider it was ever handed) nor
+    ``proxy_server.open_telemetry_logger`` (a legacy v1 logger can hold that slot)
+    reliably leads back to it.
     """
+    global _published_v2_provider
     logger: Final = select_global_otel_v2_logger(in_memory_loggers, registered=registered)
-    set_global_provider(logger._tracer_provider)
+    attach_tenant_fan_out(logger.tracer_provider, *_v2_configs(in_memory_loggers, logger))
+    set_global_provider(logger.tracer_provider)
+    _published_v2_provider = logger.tracer_provider  # rebind-ok: startup records the one provider carrying the fan-out
     return logger
 
 
+def _v2_configs(in_memory_loggers: Sequence[object], logger: "OpenTelemetryV2") -> tuple[OpenTelemetryV2Config, ...]:
+    """Every v2 logger's config, the published logger's first.
+
+    Each preset keeps its own provider and exporters, so the accounts the operator
+    writes to are spread over all of them, not held by the published logger alone.
+    """
+    others: Final = tuple(cb.config for cb in in_memory_loggers if isinstance(cb, OpenTelemetryV2) and cb is not logger)
+    return (logger.config, *others)
+
+
 def _registered_v2_logger() -> "OpenTelemetryV2 | None":
     try:
         from litellm.proxy import proxy_server
@@ -904,6 +936,25 @@ def seed_request_identity(user_api_key_dict: object, model: str | None = None) -
         logger.seed_request_identity(user_api_key_dict, model=model)
 
 
+def fan_out_provider() -> ApiTracerProvider:
+    """The provider :func:`publish_global_otel_v2_provider` gave the tenant fan-out.
+
+    Read off the publish itself, not the OTel global and not the registered logger:
+    the global keeps whichever provider claimed it first (auto-instrumentation, a
+    legacy logger), and the registered slot can hold a v1 logger while the publish
+    picked a v2 one from ``_in_memory_loggers``. Either detour lands on a provider
+    with no fan-out and drops every destination at auth.
+    """
+    published: Final = _published_v2_provider
+    if published is not None:
+        return published
+    logger: Final = _registered_v2_logger()
+    if logger is not None:
+        attach_tenant_fan_out(logger.tracer_provider, logger.config)
+        return logger.tracer_provider
+    return get_tracer_provider()
+
+
 @contextmanager
 def phase_span(name: str) -> "Iterator[Span | None]":
     logger: Final = _registered_v2_logger()
diff --git a/litellm/integrations/otel/mappers/legacy.py b/litellm/integrations/otel/mappers/legacy.py
index 37475acb8f7..d25c25cd127 100644
--- a/litellm/integrations/otel/mappers/legacy.py
+++ b/litellm/integrations/otel/mappers/legacy.py
@@ -23,6 +23,7 @@ from litellm.integrations.otel.model.payloads import (
     ServiceSpanData,
     ToolDefinition,
 )
+from litellm.integrations.otel.model.semconv import Error
 
 # Attribute keys in the semconv-ai / Traceloop vocabulary.
 _LEGACY_SYSTEM: Final = "gen_ai.system"
@@ -36,7 +37,7 @@ _LEGACY_PRESENCE_PENALTY: Final = "llm.presence_penalty"
 _LEGACY_STOP_SEQUENCES: Final = "llm.chat.stop_sequences"
 _LEGACY_SERVICE: Final = "service"
 _LEGACY_CALL_TYPE: Final = "call_type"
-_LEGACY_ERROR: Final = "error"
+_LEGACY_ERROR: Final = Error.MESSAGE_LEGACY
 
 
 class LegacyMapper:
diff --git a/litellm/integrations/otel/model/config.py b/litellm/integrations/otel/model/config.py
index 422c8409411..bd542ddc20c 100644
--- a/litellm/integrations/otel/model/config.py
+++ b/litellm/integrations/otel/model/config.py
@@ -269,7 +269,9 @@ class OpenTelemetryV2Config(BaseSettings):
         if (self.endpoint or self.traces_endpoint) and self.exporter == "console":
             self.exporter = "otlp_http"
         # When no explicit destinations are given, fold the single-destination
-        # shorthand into one spec so the provider always has a destination.
+        # shorthand into one spec so the provider always has a destination. A spec
+        # with no fields set is how the presets tell "nothing configured" from an
+        # operator who asked for the console by name.
         if not self.exporters:
             self.exporters = [
                 ExporterSpec(
@@ -278,6 +280,8 @@ class OpenTelemetryV2Config(BaseSettings):
                     traces_endpoint=self.traces_endpoint,
                     headers=self.headers,
                 )
+                if not self.model_fields_set.isdisjoint(("exporter", "endpoint", "headers"))
+                else ExporterSpec()
             ]
         # Ensure ``genai`` is always present and first.
         names = list(self.mapper_names)
diff --git a/litellm/integrations/otel/model/destination.py b/litellm/integrations/otel/model/destination.py
new file mode 100644
index 00000000000..299253cac77
--- /dev/null
+++ b/litellm/integrations/otel/model/destination.py
@@ -0,0 +1,49 @@
+"""The resolved OTLP destination a request's traces export to.
+
+Backend-agnostic on purpose: every OTEL backend reduces to an endpoint plus auth
+headers. The per-backend field mapping lives in ``presets.destinations``.
+"""
+
+from collections.abc import Mapping
+from typing import Final
+from urllib.parse import quote
+
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class OtelDestination(BaseModel):
+    model_config = ConfigDict(frozen=True)
+
+    endpoint: str
+    headers: Mapping[str, str] = Field(default_factory=dict)
+    resource_attributes: Mapping[str, str] = Field(default_factory=dict)
+    callback_name: str | None = None
+    protocol: str | None = Field(
+        default=None,
+        description=(
+            "OTLP transport, defaulting to the backend's own. Not derivable from the "
+            "scheme: Arize's ``https://otlp.arize.com/v1`` is gRPC."
+        ),
+    )
+
+    def header_string(self) -> str:
+        """Render headers as the ``k=v,k2=v2`` form an ``ExporterSpec`` expects.
+
+        Values are percent-encoded because ``providers.parse_headers`` decodes them
+        with the SDK's W3C-Baggage parser: a value carrying a ``,`` or ``=`` (a
+        Langfuse project name, a base64 Authorization payload ending in ``==``)
+        would otherwise be split into bogus pairs on the way back out.
+        """
+        return ",".join(f"{key}={quote(value, safe='')}" for key, value in self.headers.items())
+
+    def cache_key(self) -> tuple[str, tuple[tuple[str, str], ...], tuple[tuple[str, str], ...], str | None]:
+        """Identity for processor reuse, so one destination means one exporter."""
+        return (
+            self.endpoint,
+            tuple(sorted(self.headers.items())),
+            tuple(sorted(self.resource_attributes.items())),
+            self.protocol,
+        )
+
+
+NO_DESTINATIONS: Final[tuple[OtelDestination, ...]] = ()
diff --git a/litellm/integrations/otel/model/semconv.py b/litellm/integrations/otel/model/semconv.py
index af5327cbd41..d3628005bac 100644
--- a/litellm/integrations/otel/model/semconv.py
+++ b/litellm/integrations/otel/model/semconv.py
@@ -204,6 +204,9 @@ class Error:
 
     TYPE: Final = "error.type"
     MESSAGE: Final = "error.message"
+    # The same text under the bare key the semconv-ai / Traceloop vocabulary uses
+    # (see ``LegacyMapper``), so anything reading or redacting error text covers both.
+    MESSAGE_LEGACY: Final = "error"
 
 
 class LiteLLMError:
diff --git a/litellm/integrations/otel/plumbing/context.py b/litellm/integrations/otel/plumbing/context.py
index aa7cc8e2afd..21e61c71fb7 100644
--- a/litellm/integrations/otel/plumbing/context.py
+++ b/litellm/integrations/otel/plumbing/context.py
@@ -1,8 +1,9 @@
 """Trace-context + Baggage helpers."""
 
+import os
 from collections.abc import Mapping
 from contextvars import ContextVar, Token
-from typing import Final
+from typing import TYPE_CHECKING, Final
 
 from opentelemetry import baggage
 from opentelemetry.context import Context, get_current
@@ -21,6 +22,9 @@ from opentelemetry.trace.propagation.tracecontext import (
 
 from litellm.integrations.otel.model.semconv import HTTP
 
+if TYPE_CHECKING:
+    from litellm.integrations.otel.model.destination import OtelDestination
+
 _PROPAGATOR: Final = TraceContextTextMapPropagator()
 
 # The request's root span — the FastAPI-owned SERVER span — captured ONCE when the
@@ -304,3 +308,65 @@ def extract_traceparent(headers: Mapping[str, str]) -> Context | None:
         return None
     carrier: Final = {str(key).lower(): value for key, value in headers.items()}
     return _PROPAGATOR.extract(carrier)
+
+
+# The OTLP destinations this request's key or team pointed its traces at, resolved
+# once during auth. A ``ContextVar`` for the same reason the root span above is one:
+# it rides the request task's context into the ``asyncio.create_task`` children that
+# close the LLM span, and it is visible to every ``SpanProcessor.on_end`` that fires
+# on the request task. Stateful MCP handlers set and reset it per message; the
+# request-task value otherwise dies with that task.
+_request_destinations: Final['ContextVar[tuple["OtelDestination", ...]]'] = ContextVar(
+    "litellm_otel_request_destinations", default=()
+)
+
+
+def set_request_destinations(destinations: 'tuple["OtelDestination", ...]') -> "Token[tuple[OtelDestination, ...]]":
+    """Anchor the destinations this request exports to and return a reset token."""
+    return _request_destinations.set(destinations)
+
+
+def reset_request_destinations(token: "Token[tuple[OtelDestination, ...]]") -> None:
+    _request_destinations.reset(token)
+
+
+def request_destinations() -> 'tuple["OtelDestination", ...]':
+    """The destinations resolved for this request, empty outside a proxy request."""
+    return _request_destinations.get()
+
+
+#: ``litellm_settings: otel_tenant_destination_mode`` and its env equivalent.
+ADDITIVE_DESTINATION_MODE: Final = "additive"
+OTEL_TENANT_DESTINATION_MODE_ENV: Final = "LITELLM_OTEL_TENANT_DESTINATION_MODE"
+
+
+def tenant_destinations_are_additive() -> bool:
+    """Whether a tenant destination exports alongside the operator's own exporter.
+
+    Override is the default: the tenant's traffic reaches the tenant's account and
+    nowhere else. Operators running one org-wide backend across every team set this
+    to ``additive`` so the same trace lands in both places.
+    """
+    import litellm
+
+    configured: Final = litellm.otel_tenant_destination_mode or os.environ.get(OTEL_TENANT_DESTINATION_MODE_ENV)
+    return isinstance(configured, str) and configured.strip().lower() == ADDITIVE_DESTINATION_MODE
+
+
+def destination_backends() -> frozenset[str]:
+    """Backends this request resolved a tenant destination for.
+
+    The fan-out already carries the whole trace to those destinations, so the
+    per-request tracer route must never send a second copy, in either mode.
+    """
+    return frozenset(d.callback_name for d in _request_destinations.get() if d.callback_name)
+
+
+def suppressed_backends() -> frozenset[str]:
+    """Backends whose operator-level exporters this request must NOT reach.
+
+    Empty under ``additive``, where the operator keeps its copy of every span.
+    """
+    if tenant_destinations_are_additive():
+        return frozenset()
+    return destination_backends()
diff --git a/litellm/integrations/otel/plumbing/providers.py b/litellm/integrations/otel/plumbing/providers.py
index 90e68b7c2ee..81f22c8c642 100644
--- a/litellm/integrations/otel/plumbing/providers.py
+++ b/litellm/integrations/otel/plumbing/providers.py
@@ -1,9 +1,14 @@
 """Provider / exporter factory + the Baggage span processor."""
 
-from collections.abc import Callable, Iterable
+import queue
+import threading
+import time
+from collections import OrderedDict
+from collections.abc import Callable, Iterable, Mapping, Sequence
+from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, Literal
 
-from opentelemetry import _logs, baggage, metrics
+from opentelemetry import _logs, baggage, metrics, trace
 from opentelemetry._events import EventLogger
 from opentelemetry._logs import LoggerProvider, NoOpLoggerProvider
 from opentelemetry.context import Context
@@ -19,7 +24,8 @@ from opentelemetry.sdk._logs.export import (
 )
 from opentelemetry.sdk.metrics import MeterProvider as SDKMeterProvider
 from opentelemetry.sdk.resources import Resource
-from opentelemetry.sdk.trace import ReadableSpan, SpanProcessor, TracerProvider
+from opentelemetry.sdk.trace import Event, ReadableSpan, SpanProcessor, TracerProvider
+from opentelemetry.sdk.trace import Span as SDKSpan
 from opentelemetry.sdk.trace.export import (
     BatchSpanProcessor,
     ConsoleSpanExporter,
@@ -29,18 +35,35 @@ from opentelemetry.sdk.trace.export import (
 from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
     InMemorySpanExporter,
 )
-from opentelemetry.trace import Span, SpanKind, Tracer
+from opentelemetry.trace import Span, SpanKind, Status, Tracer
 from opentelemetry.util.re import parse_env_headers
+from opentelemetry.util.types import Attributes, AttributeValue
 
+from litellm._logging import verbose_logger
 from litellm._version import version as litellm_version
 from litellm.integrations.otel.model.config import ExporterSpec, OpenTelemetryV2Config
-from litellm.integrations.otel.model.semconv import LiteLLM
+from litellm.integrations.otel.model.semconv import (
+    DB,
+    MCP,
+    Error,
+    ExceptionEvent,
+    GenAI,
+    LiteLLM,
+    LiteLLMError,
+    Server,
+)
 from litellm.integrations.otel.model.spans import LiteLLMSpanKind
+from litellm.integrations.otel.plumbing.context import (
+    request_destinations,
+    suppressed_backends,
+)
 
 if TYPE_CHECKING:
     from opentelemetry.metrics import Meter
     from opentelemetry.sdk.metrics.export import MetricReader
 
+    from litellm.integrations.otel.model.destination import OtelDestination
+
 _SPAN_KIND_BY_ROLE_KIND: Final[dict[LiteLLMSpanKind, SpanKind]] = {
     LiteLLMSpanKind.SERVER: SpanKind.SERVER,
     LiteLLMSpanKind.CLIENT: SpanKind.CLIENT,
@@ -202,6 +225,555 @@ def _processor_for(exporter: SpanExporter, use_simple: bool | None) -> SpanProce
     return SimpleSpanProcessor(exporter) if use_simple else BatchSpanProcessor(exporter)
 
 
+#: Distinct tenant destinations whose exporters stay alive. Each holds a connection
+#: pool and a batch thread, so the cache is bounded and evicts least-recently-used.
+_MAX_CACHED_DESTINATION_PROCESSORS: Final = 32
+
+#: Workers closing shed destination processors, bounding the threads a tenant can
+#: create by cycling its destination config.
+_DRAIN_WORKERS: Final = 2
+
+#: Shed processors waiting to be closed before the fan-out stops building new ones.
+#: Each still owns a batch thread until its close returns, and a collector that never
+#: answers makes every close take the exporter's full timeout, so past this many the
+#: operator's exporter keeps the span instead (see ``deliverable``).
+_MAX_PENDING_DRAINS: Final = 64
+
+#: How long ``shutdown`` waits for spans already being forwarded, so teardown closes
+#: no processor under one. Bounded: an exporter that never returns must not hold the
+#: proxy open.
+_SHUTDOWN_DRAIN_SECONDS: Final = 5.0
+
+#: An exporter's account: its normalized endpoint and the credentials it presents.
+_SinkKey = tuple[str, tuple[tuple[str, str], ...]]
+
+#: Header names that spell one credential two ways. Arize's operator exporter sends
+#: ``space_id`` where a tenant destination sends ``arize-space-id``.
+_CREDENTIAL_ALIASES: Final = MappingProxyType({"arize_space_id": "space_id"})
+
+
+class _DrainPool:
+    """Closes shed destination processors off the span-export path.
+
+    ``shutdown`` flushes over the network and is reached from ``on_end``, so closing
+    one inline would let a single unreachable tenant collector stall every other
+    tenant's spans behind it. A fixed set of workers rather than a thread per
+    processor means a tenant cycling its destination config cannot spawn threads as
+    fast as it can send requests; slow shutdowns queue behind each other.
+
+    The workers are daemons and belong to the fan-out that sheds the processors, so
+    neither an unreachable collector nor a lazily built process-wide singleton can
+    hold the proxy open on the way down.
+    """
+
+    def __init__(
+        self,
+        workers: int = _DRAIN_WORKERS,
+        pending: "queue.Queue[SpanProcessor | None] | None" = None,
+        capacity: int = _MAX_PENDING_DRAINS,
+    ) -> None:
+        self._workers: Final = workers
+        self._capacity: Final = capacity
+        self._lock: Final = threading.Lock()
+        self._closed = False
+        self._backlog = 0  # guarded by ``_lock``: submitted processors whose close has not returned
+        self._pending: Final[queue.Queue[SpanProcessor | None]] = pending if pending is not None else queue.Queue()
+        self._threads: Final = tuple(
+            threading.Thread(target=self._drain_until_closed, daemon=True, name="litellm-otel-destination-drain")
+            for _ in range(workers)
+        )
+        for worker in self._threads:
+            worker.start()
+
+    def submit(self, processor: SpanProcessor) -> None:
+        """Queue ``processor`` for closing, or hand it off once the pool is retired.
+
+        The check and the put share one lock. Reading a closed flag on its own leaves
+        room for :meth:`close` to run in between, and the processor would land behind
+        the sentinels every worker has already exited on.
+
+        Past close there is no worker left to take it, and the caller is whichever
+        thread just ended a span, so closing it inline would park that thread on a
+        network flush the shutdown deadline has already stopped waiting for. The extra
+        thread is bounded by the same close: the fan-out stops handing processors out
+        at that point, so only the ones already exporting when it happened arrive here.
+        """
+        with self._lock:
+            if not self._closed:
+                self._backlog += 1
+                self._pending.put(processor)
+                return
+        threading.Thread(
+            target=_shutdown_quietly,
+            args=(processor,),
+            daemon=True,
+            name="litellm-otel-destination-drain-straggler",
+        ).start()
+
+    def saturated(self) -> bool:
+        """Whether enough closes are outstanding that building another processor must wait.
+
+        The workers close in order and each close blocks for as long as its exporter
+        does, so a collector that stopped answering would otherwise turn every new
+        destination into one more batch thread parked behind them, for as long as the
+        tenants keep rotating. Holding the count here rather than reading the queue
+        keeps the two processors a worker is mid-close on in the total.
+        """
+        with self._lock:
+            return self._backlog >= self._capacity
+
+    def close(self, timeout: float | None = None) -> None:
+        """Retire the workers once they have closed everything already queued.
+
+        A proxy that rebuilds its telemetry builds another fan-out, so workers that
+        outlive the one that started them are two more threads per reload, forever.
+
+        ``timeout`` bounds how long the caller waits for that draining to finish. The
+        workers are daemons, so whatever is still flushing when it expires is dropped
+        by the interpreter rather than holding it open.
+        """
+        with self._lock:
+            if self._closed:
+                return
+            self._closed = True
+            for _ in range(self._workers):
+                self._pending.put(None)
+        if timeout is None:
+            return
+        deadline: Final = time.monotonic() + timeout
+        for worker in self._threads:
+            worker.join(timeout=max(0.0, deadline - time.monotonic()))
+
+    def _drain_until_closed(self) -> None:
+        while True:
+            processor: SpanProcessor | None = self._pending.get()  # rebind-ok: loop variable
+            if processor is None:
+                return
+            _shutdown_quietly(processor)
+            with self._lock:
+                self._backlog -= 1
+
+
+_NO_ATTRIBUTES: Final[Mapping[str, AttributeValue]] = MappingProxyType({})
+_DB_SYSTEM_KEYS: Final = frozenset({DB.SYSTEM_NAME, DB.SYSTEM_LEGACY})
+# Keys on a database span that describe the proxy's own datastore: its host, its
+# port, and its schema.
+_DATASTORE_ENDPOINT_KEYS: Final = frozenset({Server.ADDRESS, Server.PORT, DB.NAMESPACE})
+# A span carrying one of these describes the tenant's own call (the model call, the
+# MCP call, the guardrail), so its error text is theirs to see. Every other span is
+# the proxy's own work, whose error text names the operator's infrastructure.
+_TENANT_OWNED_KEYS: Final = frozenset({GenAI.OPERATION_NAME, MCP.METHOD_NAME, LiteLLM.GUARDRAIL_NAME})
+_PROXY_ERROR_TEXT_KEYS: Final = frozenset({Error.MESSAGE, Error.MESSAGE_LEGACY})
+# A guardrail that never answered carries the exception it raised as its response,
+# which names the operator's guardrail endpoint. The second spelling is the legacy
+# status the request-level logger still maps.
+_GUARDRAIL_UNREACHABLE_STATUSES: Final = frozenset({"guardrail_failed_to_respond", "failure"})
+# Attribute prefixes the FastAPI instrumentor uses for headers the operator opted to
+# capture (``OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SERVER_*``). The request
+# side carries the caller's bearer token verbatim.
+_CAPTURED_HEADER_PREFIXES: Final = ("http.request.header.", "http.response.header.")
+# The instrumentor stamps the request URL on the server span with its query string,
+# under the old convention and the new one, and litellm accepts a virtual key as a
+# ``?key=`` query parameter.
+_URL_KEYS: Final = frozenset({"http.url", "http.target", "url.full"})
+_URL_QUERY_KEY: Final = "url.query"
+
+
+class _TenantSpanView(ReadableSpan):
+    """A ``ReadableSpan`` view for one destination, leaving the operator's own span alone."""
+
+    def __init__(
+        self,
+        inner: ReadableSpan,
+        resource: Resource,
+        attributes: Attributes,
+        events: Sequence[Event],
+        status: Status,
+    ) -> None:
+        super().__init__(
+            name=inner.name,
+            context=inner.context,
+            parent=inner.parent,
+            resource=resource,
+            attributes=attributes,
+            events=events,
+            links=inner.links,
+            kind=inner.kind,
+            status=status,
+            start_time=inner.start_time,
+            end_time=inner.end_time,
+            instrumentation_scope=inner.instrumentation_scope,
+        )
+
+
+def _is_database_span(attributes: Mapping[str, AttributeValue]) -> bool:
+    return any(key in attributes for key in _DB_SYSTEM_KEYS)
+
+
+def _is_tenant_owned_span(attributes: Mapping[str, AttributeValue]) -> bool:
+    return any(key in attributes for key in _TENANT_OWNED_KEYS)
+
+
+def _guardrail_unreachable(attributes: Mapping[str, AttributeValue]) -> bool:
+    return attributes.get(LiteLLM.GUARDRAIL_STATUS) in _GUARDRAIL_UNREACHABLE_STATUSES
+
+
+def _tenant_visible(key: str, database: bool, owned: bool, unreachable_guardrail: bool) -> bool:
+    if key.startswith(_CAPTURED_HEADER_PREFIXES) or key in (LiteLLMError.STACK_TRACE, _URL_QUERY_KEY):
+        return False
+    if database and key in _DATASTORE_ENDPOINT_KEYS:
+        return False
+    if unreachable_guardrail and key == LiteLLM.GUARDRAIL_RESPONSE:
+        return False
+    return owned or key not in _PROXY_ERROR_TEXT_KEYS
+
+
+def _without_query(key: str, value: AttributeValue) -> AttributeValue:
+    if key not in _URL_KEYS or not isinstance(value, str):
+        return value
+    return value.partition("?")[0]
+
+
+def _same_attributes(kept: Mapping[str, AttributeValue], attributes: Mapping[str, AttributeValue]) -> bool:
+    return len(kept) == len(attributes) and all(kept[key] is value for key, value in attributes.items())
+
+
+def _without_stack_trace(event: Event) -> Event:
+    attributes: Final = event.attributes or _NO_ATTRIBUTES
+    if ExceptionEvent.STACKTRACE not in attributes:
+        return event
+    return Event(
+        name=event.name,
+        attributes=MappingProxyType(
+            {key: value for key, value in attributes.items() if key != ExceptionEvent.STACKTRACE}
+        ),
+        timestamp=event.timestamp,
+    )
+
+
+def _for_destination(span: ReadableSpan, destination: "OtelDestination") -> ReadableSpan:
+    """The view of ``span`` a tenant destination receives.
+
+    A span the tenant's own call produced keeps its error text. Every other span is
+    the proxy's own work (the request root, auth, the database), and its error text,
+    its events and its status description come off, since a Prisma failure there
+    spells out the operator's Postgres endpoint. A database span loses that endpoint
+    too, and a guardrail that failed to respond loses its response text, which is the
+    exception it raised and names the operator's guardrail endpoint. Stack traces walk
+    the operator's install and come off every span, as do the headers the operator
+    captures on the server span, whose request side holds the caller's bearer token,
+    and the query string of the request URL, which can hold the same key. The span
+    itself stays, so the tenant still gets the whole trace tree.
+    """
+    extra: Final = destination.resource_attributes
+    attributes: Final = span.attributes or _NO_ATTRIBUTES
+    database: Final = _is_database_span(attributes)
+    owned: Final = _is_tenant_owned_span(attributes)
+    unreachable: Final = _guardrail_unreachable(attributes)
+    kept: Final = MappingProxyType(
+        {
+            key: _without_query(key, value)
+            for key, value in attributes.items()
+            if _tenant_visible(key, database, owned, unreachable)
+        }
+    )
+    recorded: Final = span.events
+    events: Final = tuple(_without_stack_trace(event) for event in recorded) if owned else ()
+    unchanged: Final = owned and _same_attributes(kept, attributes) and all(a is b for a, b in zip(events, recorded))
+    if not extra and unchanged:
+        return span
+    resource: Final = span.resource.merge(Resource(extra)) if extra else span.resource
+    status: Final = span.status if owned else Status(span.status.status_code)
+    return _TenantSpanView(span, resource, kept, events, status)
+
+
+class TenantFanOutSpanProcessor(SpanProcessor):
+    """Export every finished span to each destination this request resolved.
+
+    Destinations ride a request-scoped ``ContextVar`` set during auth, so concurrent
+    requests stay isolated. The forwarded view keeps the original trace and parent
+    ids, so the tenant gets the same tree the operator would have received.
+
+    Exactly one provider carries this processor, the one published as the OTel global
+    (see :func:`attach_tenant_fan_out`). That provider is the only one every span
+    passes through: the FastAPI server span, the auth span and the post-call database
+    spans are emitted on the global, while a second v2 logger's provider sees only
+    that logger's own gen-AI span. Attaching the fan-out per logger would hand a
+    tenant a one-span trace whenever its backend is not the global one, and two
+    copies of the model call whenever it is.
+    """
+
+    def __init__(
+        self,
+        processor_factory: 'Callable[["OtelDestination"], SpanProcessor | None] | None' = None,
+        shutdown_drain_seconds: float = _SHUTDOWN_DRAIN_SECONDS,
+        operator_sinks: frozenset[_SinkKey] = frozenset(),
+        pending_drains: int = _MAX_PENDING_DRAINS,
+        drain_pool: _DrainPool | None = None,
+    ) -> None:
+        self._operator_sinks: Final = operator_sinks
+        self._drain_seconds: Final = shutdown_drain_seconds
+        self._lock: Final = threading.Condition()
+        self._closed = False  # guarded by ``_lock``: an unlocked read races the teardown it gates
+        self._build: Final = processor_factory if processor_factory is not None else _destination_processor
+        self._processors: OrderedDict[object, SpanProcessor] = OrderedDict()  # mutable-ok: bounded LRU
+        self._retired: OrderedDict[int, SpanProcessor] = OrderedDict()  # mutable-ok: drains as exports finish
+        self._exporting: dict[int, int] = {}  # mutable-ok: per-processor in-flight export count
+        self._drain: Final = drain_pool if drain_pool is not None else _DrainPool(capacity=pending_drains)
+
+    def on_start(self, span: SDKSpan, parent_context: Context | None = None) -> None:
+        return None
+
+    def on_end(self, span: ReadableSpan) -> None:
+        suppressed: Final = suppressed_backends()
+        for destination in request_destinations():
+            if self._operator_already_writes(destination, suppressed):
+                continue
+            processor = self._acquire(destination)  # rebind-ok: loop variable; pyright forbids Final in a loop
+            if processor is None:
+                continue
+            try:
+                processor.on_end(_for_destination(span, destination))
+            except Exception as exc:  # noqa: BLE001  # one destination's failure must not cost the others their span
+                verbose_logger.debug("OTel V2 fan-out: forwarding to %s failed: %s", destination.endpoint, exc)
+            finally:
+                self._release(processor)
+
+    def _operator_already_writes(self, destination: "OtelDestination", suppressed: frozenset[str]) -> bool:
+        """Whether the operator's own exporter is sending this span to the same account.
+
+        Only reachable under ``additive``, where nothing is suppressed: a team that
+        names the operator's own project would otherwise have every span written
+        there twice, once by the operator's exporter and once by the fan-out.
+        """
+        return (
+            destination.callback_name not in suppressed
+            and _sink_key(destination.endpoint, destination.headers) in self._operator_sinks
+        )
+
+    def shutdown(self) -> None:
+        """Close every destination processor, once the spans in flight have landed.
+
+        ``on_end`` runs on whichever thread ends a span and can reach this fan-out
+        while the SDK is tearing the provider down, so closing blind would drop a
+        trace mid-forward and would hand the next caller a fresh exporter nothing
+        will ever close. Refusing new work and then waiting out the in-flight ones
+        keeps both from happening. A straggler past the bound is retired instead of
+        closed: the thread still exporting it closes it through the drain as soon as
+        its export returns, so no span is dropped mid-forward.
+
+        Every close then goes to the drain rather than running here. Closing a
+        destination processor flushes it over the network and the SDK joins its own
+        worker with no timeout of its own, so one tenant collector that answers but
+        never finishes a response would otherwise hold process teardown open for as
+        long as it likes. The drain's workers are daemons, and the whole teardown
+        shares one deadline.
+        """
+        deadline: Final = time.monotonic() + self._drain_seconds
+        with self._lock:
+            self._closed = True
+            self._lock.wait_for(lambda: not self._exporting, timeout=self._drain_seconds)
+            live: Final = tuple((id(p), p) for p in (*self._processors.values(), *self._retired.values()))
+            closing: Final = tuple(p for ident, p in live if ident not in self._exporting)
+            self._processors.clear()
+            self._retired = OrderedDict(  # mutable-ok: the same bounded map, keeping only what is still exporting
+                (ident, p) for ident, p in live if ident in self._exporting
+            )
+        for processor in closing:
+            self._drain.submit(processor)
+        self._drain.close(timeout=max(0.0, deadline - time.monotonic()))
+
+    def force_flush(self, timeout_millis: int = 30000) -> bool:
+        results: Final = tuple(self._flush_one(processor, timeout_millis) for processor in self._snapshot())
+        return all(results)
+
+    def _snapshot(self) -> tuple[SpanProcessor, ...]:
+        with self._lock:
+            return (*self._processors.values(), *self._retired.values())
+
+    @staticmethod
+    def _flush_one(processor: SpanProcessor, timeout_millis: int) -> bool:
+        try:
+            return processor.force_flush(timeout_millis)
+        except Exception:  # noqa: BLE001  # one exporter's flush failure must not fail the whole flush
+            return False
+
+    def deliverable(self, destinations: Iterable["OtelDestination"]) -> tuple["OtelDestination", ...]:
+        """The subset of ``destinations`` this fan-out can actually export to.
+
+        A destination whose exporter will not build (a protocol whose package is not
+        installed, a malformed endpoint) has to be dropped before the request anchors
+        it, not when its first span ends. By then the operator's own exporter has been
+        told to hold that backend's spans back for this request, so dropping there
+        loses the span outright instead of leaving it where it would have gone with no
+        override at all.
+        """
+        return tuple(destination for destination in destinations if self._buildable(destination))
+
+    def _buildable(self, destination: "OtelDestination") -> bool:
+        """Whether a processor for ``destination`` exists or can be built right now."""
+        with self._lock:
+            if self._closed:
+                return False
+            built: Final = self._cached_or_built_locked(destination, anchored=False)
+            drained: Final = self._drainable_locked()
+            for shed in drained:
+                self._drain.submit(shed)
+            return built is not None
+
+    def _acquire(self, destination: "OtelDestination") -> SpanProcessor | None:
+        """The processor for ``destination``, marked busy until ``_release``.
+
+        The build happens under the same lock that reads the cache, so a cold cache
+        met by a burst of concurrent requests yields one exporter rather than one per
+        thread with all but the winner shed. Building an exporter opens no connection,
+        so the cost of holding the lock is a constructor, once per destination.
+        """
+        with self._lock:
+            if self._closed:
+                return None
+            processor: Final = self._cached_or_built_locked(destination, anchored=True)
+            if processor is None:
+                return None
+            self._exporting[id(processor)] = self._exporting.get(id(processor), 0) + 1
+            drained: Final = self._drainable_locked()
+            for shed in drained:
+                self._drain.submit(shed)
+            return processor
+
+    def _cached_or_built_locked(self, destination: "OtelDestination", *, anchored: bool) -> SpanProcessor | None:
+        """The cached processor for ``destination``, or a new one if the drain can take it.
+
+        Every build past the cache cap sheds one processor into the drain, so while the
+        shed ones are stuck closing against a collector that stopped answering, a
+        destination that is not yet anchored is refused rather than parked behind them:
+        ``deliverable`` then leaves its spans with the operator's exporter until the
+        drain catches up. One the request already anchored is rebuilt regardless. The
+        operator's exporter has stood down for it, so refusing here would drop the span,
+        and other tenants' auths can evict it in the meantime, with that eviction being
+        what tips the drain over. Eviction holds while the drain is saturated, so such a
+        rebuild costs the cache one entry rather than shedding another processor, and
+        the total stays at one per destination in flight.
+        """
+        key: Final = destination.cache_key()
+        if (cached := self._processors.get(key)) is not None:
+            self._processors.move_to_end(key)
+            self._retire_overflow_locked()
+            return cached
+        if not anchored and self._drain.saturated():
+            verbose_logger.debug("OTel V2 fan-out: drain saturated, not building for %s", destination.endpoint)
+            return None
+        return self._build_locked(destination, key)
+
+    def _build_locked(self, destination: "OtelDestination", key: object) -> SpanProcessor | None:
+        built: Final = self._build(destination)
+        if built is None:
+            return None
+        self._processors[key] = built
+        self._retire_overflow_locked()
+        return built
+
+    def _release(self, processor: SpanProcessor) -> None:
+        with self._lock:
+            remaining: Final = self._exporting.get(id(processor), 1) - 1
+            if remaining > 0:
+                self._exporting[id(processor)] = remaining
+            else:
+                self._exporting.pop(id(processor), None)
+                if not self._exporting:
+                    self._lock.notify_all()
+            drained: Final = self._drainable_locked()
+            for retired in drained:
+                self._drain.submit(retired)
+
+    def _retire_overflow_locked(self) -> None:
+        """Move the LRU processor out of the cache once it is past the cap, drain permitting.
+
+        Eviction is what feeds the drain, and a destination a request already anchored
+        is rebuilt on its next span, which would shed another one. While the shed ones
+        are stuck closing against a collector that stopped answering, evicting would
+        churn the cache at one more processor, and one more batch thread, per span.
+        Holding above the cap instead keeps the total at one processor per destination
+        in flight, since ``deliverable`` anchors no new destination while the drain is
+        saturated. Once it has room again, every hit and build trims one entry.
+        """
+        if len(self._processors) <= _MAX_CACHED_DESTINATION_PROCESSORS or self._drain.saturated():
+            return
+        _, evicted = self._processors.popitem(last=False)
+        self._retired[id(evicted)] = evicted
+
+    def _drainable_locked(self) -> tuple[SpanProcessor, ...]:
+        """Retired processors no thread is exporting through, removed from the list.
+
+        ``on_end`` holds a processor across an export, so closing an evicted one there
+        drops the span it is holding. A retiree is out of the cache and can never be
+        handed out again, so once its export count reaches zero it stays there.
+        """
+        idle: Final = tuple(key for key in self._retired if self._exporting.get(key, 0) == 0)
+        return tuple(self._retired.pop(key) for key in idle)
+
+
+def _destination_processor(destination: "OtelDestination") -> SpanProcessor | None:
+    """A batching OTLP processor aimed at ``destination``, or ``None`` if unbuildable.
+
+    A protocol that resolves to a headerless exporter is unbuildable too: the
+    console fallback would swallow the tenant's credentials and print its spans to
+    the proxy's stdout while the operator's exporter stands down for them.
+    """
+    kind: Final = destination.protocol or "otlp_http"
+    if exporter_transport(kind) == "headerless":
+        verbose_logger.debug("OTel V2 fan-out: no OTLP transport for protocol %r at %s", kind, destination.endpoint)
+        return None
+    try:
+        spec: Final = ExporterSpec(
+            kind=kind,
+            endpoint=destination.endpoint,
+            headers=destination.header_string(),
+            owner=None,
+        )
+        return _processor_for(_exporter_from_spec(spec), use_simple=False)
+    except Exception as exc:  # noqa: BLE001  # a malformed destination must not break the request or the other destinations
+        verbose_logger.debug("OTel V2 fan-out: no processor for %s: %s", destination.endpoint, exc)
+        return None
+
+
+def _shutdown_quietly(processor: SpanProcessor) -> None:
+    try:
+        processor.shutdown()
+    except Exception as exc:  # noqa: BLE001  # defensive: shedding a spare processor must not raise
+        verbose_logger.debug("OTel V2 fan-out: discarding processor failed: %s", exc)
+
+
+class _OverriddenBackendFilter(SpanProcessor):
+    """Hold a span back from ``owner``'s operator-level exporter when the request
+    pointed ``owner`` at a tenant's own account.
+
+    Wrapping is the only place this works: ``SynchronousMultiSpanProcessor.on_end``
+    ignores return values, so a sibling processor can never veto the export.
+
+    Under ``additive`` mode nothing is suppressed, so the wrapper passes every span
+    straight through and the operator keeps its copy.
+    """
+
+    def __init__(self, inner: SpanProcessor, owner: str) -> None:
+        self._inner: Final = inner
+        self._owner: Final = owner
+
+    def on_start(self, span: SDKSpan, parent_context: Context | None = None) -> None:
+        self._inner.on_start(span, parent_context)
+
+    def on_end(self, span: ReadableSpan) -> None:
+        if self._owner in suppressed_backends():
+            return
+        self._inner.on_end(span)
+
+    def shutdown(self) -> None:
+        self._inner.shutdown()
+
+    def force_flush(self, timeout_millis: int = 30000) -> bool:
+        return self._inner.force_flush(timeout_millis)
+
+
 def build_span_exporter(config: OpenTelemetryV2Config) -> SpanExporter:
     """Build a single exporter from the top-level config fields.
 
@@ -452,6 +1024,7 @@ def build_tracer_provider(
     exporter: SpanExporter | None = None,
     baggage_processor: SpanProcessor | None = None,
     use_simple_processor: bool | None = None,
+    tenant_overrides: bool = False,
 ) -> TracerProvider:
     """Build the shared :class:`TracerProvider`.
 
@@ -460,6 +1033,13 @@ def build_tracer_provider(
     ``config.exporters`` entry — this is what fans spans out to multiple
     backends. ``exporter`` and ``use_simple_processor`` are explicit overrides:
     pass a single exporter to attach exactly that one (used by tests).
+
+    ``tenant_overrides`` wraps each owned exporter so a request that pointed that
+    backend at a key's or team's own account skips it. Every v2 logger's provider
+    wants it, since any of them may own the overridden backend; delivering to the
+    tenant is a separate job, done once by :func:`attach_tenant_fan_out`. The
+    per-tenant providers this same function builds must leave it off, or they would
+    filter out the very spans they exist to carry.
     """
     provider: Final = TracerProvider(resource=build_resource(config))
     if baggage_processor is None:
@@ -476,15 +1056,107 @@ def build_tracer_provider(
         if spec.requires_headers and not spec.headers:
             continue
         exp = _exporter_from_spec(spec)
+        processor = _processor_for(
+            exp,
+            (spec.use_simple_processor if spec.use_simple_processor is not None else use_simple_processor),
+        )
+        owner = spec.owner.value if spec.owner is not None else None
         provider.add_span_processor(
-            _processor_for(
-                exp,
-                (spec.use_simple_processor if spec.use_simple_processor is not None else use_simple_processor),
-            )
+            _OverriddenBackendFilter(processor, owner) if tenant_overrides and owner is not None else processor
         )
     return provider
 
 
+_FAN_OUT_ATTACH_LOCK: Final = threading.Lock()
+
+
+def attach_tenant_fan_out(provider: TracerProvider, *configs: OpenTelemetryV2Config) -> None:
+    """Give ``provider`` the fan-out that delivers spans to key/team destinations.
+
+    Called on the one provider published as the OTel global, and idempotent so a
+    second publish (a test, a re-initialized proxy) cannot double-export. Concurrent
+    first calls (requests racing to anchor before any publish) serialize on one lock
+    so exactly one fan-out lands. ``configs`` name the operator's own exporters, one
+    config per v2 logger since each keeps its own provider and still writes its
+    account, so an additive destination pointing at any of them is delivered once
+    rather than twice.
+    """
+    with _FAN_OUT_ATTACH_LOCK:
+        if any(isinstance(processor, TenantFanOutSpanProcessor) for processor in _attached_processors(provider)):
+            return
+        provider.add_span_processor(TenantFanOutSpanProcessor(operator_sinks=operator_sink_keys(*configs)))
+
+
+def deliverable_destinations(
+    destinations: Iterable["OtelDestination"],
+    provider: trace.TracerProvider | None = None,
+) -> tuple["OtelDestination", ...]:
+    """The destinations a request can anchor, given what is published to carry them.
+
+    Anchoring a destination is what tells the operator's own exporter to stand down
+    for that backend, so one nothing can deliver has to be dropped here: with no
+    fan-out attached, or with an exporter that will not build, the request keeps
+    exactly the routing it would have had without any override.
+    """
+    fan_out: Final = next(
+        (
+            processor
+            for processor in _attached_processors(provider if provider is not None else trace.get_tracer_provider())
+            if isinstance(processor, TenantFanOutSpanProcessor)
+        ),
+        None,
+    )
+    return fan_out.deliverable(destinations) if fan_out is not None else ()
+
+
+def operator_sink_keys(*configs: OpenTelemetryV2Config) -> frozenset[_SinkKey]:
+    """The accounts the operator's own exporters write to, in destination terms.
+
+    Every v2 logger's config counts, since each logger exports through its own
+    provider. An exporter with no endpoint of its own resolves one from the
+    environment at export time, so it has no comparable identity and is left out,
+    and so is one that never reaches the wire: a console kind ignores the endpoint,
+    and a header-gated spec with no credentials is skipped when the provider is built.
+    """
+    return frozenset(
+        key
+        for config in configs
+        for spec in config.exporters
+        if _exports_to_the_wire(spec) and (key := _sink_key(spec.endpoint, parse_headers(spec.headers))) is not None
+    )
+
+
+def _exports_to_the_wire(spec: ExporterSpec) -> bool:
+    """Whether ``build_tracer_provider`` gives ``spec`` an exporter that sends OTLP."""
+    return exporter_transport(spec.kind) != "headerless" and not (spec.requires_headers and not spec.headers)
+
+
+def _sink_key(endpoint: str | None, headers: Mapping[str, str]) -> "_SinkKey | None":
+    """The account an exporter writes to, or ``None`` when it has no fixed one.
+
+    Normalized on the three counts that make one account look like two: the operator's
+    spec carries the signal path a tenant destination leaves for the exporter to
+    append, header names survive one round trip lowercased and the other not, and one
+    credential answers to more than one name (see :data:`_CREDENTIAL_ALIASES`).
+    """
+    normalized: Final = _otlp_traces_endpoint(endpoint)
+    if normalized is None:
+        return None
+    return (normalized, tuple(sorted((_credential_name(name), value) for name, value in headers.items())))
+
+
+def _credential_name(header: str) -> str:
+    """The credential a header carries, under whichever name the backend spells it."""
+    normalized: Final = header.strip().lower().replace("-", "_")
+    return _CREDENTIAL_ALIASES.get(normalized, normalized)
+
+
+def _attached_processors(provider: trace.TracerProvider) -> "tuple[SpanProcessor, ...]":
+    """The processors already on ``provider``, or empty when the SDK hides them."""
+    multi: Final = getattr(provider, "_active_span_processor", None)
+    return tuple(getattr(multi, "_span_processors", ()))
+
+
 def get_tracer(provider: TracerProvider, name: str = "litellm") -> Tracer:
     # Stamp the instrumentation scope with the LiteLLM package version so every
     # emitted span carries a deterministic ``scope.version`` (the standard OTel
diff --git a/litellm/integrations/otel/plumbing/routing.py b/litellm/integrations/otel/plumbing/routing.py
index 227e18f3663..f78d18d943c 100644
--- a/litellm/integrations/otel/plumbing/routing.py
+++ b/litellm/integrations/otel/plumbing/routing.py
@@ -25,6 +25,7 @@ from opentelemetry.trace import Tracer
 from litellm._logging import verbose_logger
 from litellm.constants import OTEL_SERVICE_NAME_METADATA_KEYS
 from litellm.integrations.otel.model.config import ExporterSpec, OpenTelemetryV2Config
+from litellm.integrations.otel.plumbing.context import destination_backends
 from litellm.integrations.otel.plumbing.providers import (
     build_tracer_provider,
     exporter_transport,
@@ -231,10 +232,21 @@ class TenantTracerCache:
         concurrent overflow eviction can't shut it down between selection and
         the caller's span start. The caller must ``release`` it exactly once.
         """
+        # A backend with a destination is delivered by the fan-out processor, which
+        # carries the whole trace and already carries this tenant's credentials and
+        # service name. Routing here too would detach this span onto a second provider,
+        # so the tenant would get the request tree plus a stray one-span trace.
+        if self._callback_name is not None and self._callback_name in destination_backends():
+            return TenantRoute(tracer=default, detached=False)
         credential_headers: Final = self._credential_headers(dynamic_params)
         project_headers: Final = self._project_headers(auth_metadata)
         service_name: Final = tenant_service_name(auth_metadata)
-        if not credential_headers and not project_headers and service_name is None:
+        tenant_account: Final = bool(credential_headers) or bool(project_headers)
+        # A service name on its own only relabels the operator's own backend, so moving
+        # the span to a second provider for it while some other backend has a
+        # destination would drop the model call out of the trace the fan-out delivers.
+        # The destination stamps the same service name itself.
+        if not tenant_account and (service_name is None or destination_backends()):
             return TenantRoute(tracer=default, detached=False)
         # A fixed per-integration region endpoint (New Relic us/eu), never a
         # caller-supplied host; ``None`` keeps the preset's own endpoint.
@@ -255,7 +267,7 @@ class TenantTracerCache:
             _shutdown_provider(evicted)
         return TenantRoute(
             tracer=get_tracer(provider, self._tracer_name),
-            detached=bool(project_headers) or bool(credential_headers),
+            detached=tenant_account,
             provider=provider,
         )
 
diff --git a/litellm/integrations/otel/presets/agentops.py b/litellm/integrations/otel/presets/agentops.py
index f45b1cd3cff..965213f2ee4 100644
--- a/litellm/integrations/otel/presets/agentops.py
+++ b/litellm/integrations/otel/presets/agentops.py
@@ -39,6 +39,7 @@ class _AgentOpsSettings(BaseSettings):
 def agentops_preset(
     *,
     config_overrides: OpenTelemetryV2Config | None = None,
+    allow_missing_credentials: bool = False,
 ) -> OpenTelemetryV2Config:
     """Build the AgentOps config without any network I/O.
 
diff --git a/litellm/integrations/otel/presets/arize.py b/litellm/integrations/otel/presets/arize.py
index ee0de675657..d7ce87f5552 100644
--- a/litellm/integrations/otel/presets/arize.py
+++ b/litellm/integrations/otel/presets/arize.py
@@ -26,10 +26,12 @@ class _ArizeSettings(BaseSettings):
 def arize_preset(
     *,
     config_overrides: OpenTelemetryV2Config | None = None,
+    allow_missing_credentials: bool = False,
 ) -> OpenTelemetryV2Config:
+    base: Final = config_overrides or OpenTelemetryV2Config()
+    mappers: Final = ensure_mappers(base.mapper_names, "openinference")
     arize_cfg: Final = _V1ArizeLogger.get_arize_config()
     headers: Final = _arize_headers(arize_cfg)
-    base: Final = config_overrides or OpenTelemetryV2Config()
     return base.model_copy(
         update={
             "exporters": [
@@ -41,7 +43,7 @@ def arize_preset(
                     owner=ExporterOwner.ARIZE_AX,
                 ),
             ],
-            "mapper_names": ensure_mappers(base.mapper_names, "openinference"),
+            "mapper_names": mappers,
             "resource_attributes": {
                 **base.resource_attributes,
                 **({"model_id": arize_cfg.project_name} if arize_cfg.project_name else {}),
diff --git a/litellm/integrations/otel/presets/base.py b/litellm/integrations/otel/presets/base.py
index 3b9991f86a4..3a768a08a4f 100644
--- a/litellm/integrations/otel/presets/base.py
+++ b/litellm/integrations/otel/presets/base.py
@@ -18,6 +18,18 @@ class Preset(Protocol):
 
     ``config_overrides`` lets one preset layer onto another's config (or onto
     test-supplied defaults); the factory calls presets with no arguments.
+
+    ``allow_missing_credentials`` lets a credential-mandatory backend (langfuse and
+    weave) degrade to an exporter-less, mapper-only config instead of raising when the
+    operator set no env credentials of their own. That is a real
+    deployment: every team brings its own account and the operator keeps none, and
+    without it the whole V2 path silently falls back to the legacy integration, so
+    no team destination is ever reached. Credential-optional backends ignore it.
     """
 
-    def __call__(self, *, config_overrides: OpenTelemetryV2Config | None = None) -> OpenTelemetryV2Config: ...
+    def __call__(
+        self,
+        *,
+        config_overrides: OpenTelemetryV2Config | None = None,
+        allow_missing_credentials: bool = False,
+    ) -> OpenTelemetryV2Config: ...
diff --git a/litellm/integrations/otel/presets/destinations.py b/litellm/integrations/otel/presets/destinations.py
new file mode 100644
index 00000000000..2bf9bfa5261
--- /dev/null
+++ b/litellm/integrations/otel/presets/destinations.py
@@ -0,0 +1,152 @@
+"""Map a key's or team's callback vars to the OTLP destination its traces export to.
+
+Header building is delegated to each preset's existing ``*_dynamic_headers`` builder,
+so a destination authenticates exactly the way the per-request tracer route already
+did; only the endpoint and transport need a per-backend rule.
+"""
+
+import os
+from collections.abc import Callable, Mapping
+from functools import lru_cache
+from types import MappingProxyType
+from typing import Final
+
+import litellm
+from litellm._logging import verbose_logger
+from litellm.integrations.otel.model.destination import OtelDestination
+from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host
+from litellm.types.utils import StandardCallbackDynamicParams
+
+#: An endpoint plus the OTLP transport to reach it with, or ``None`` when the backend
+#: names no destination. The transport is ``None`` where the backend has only one.
+_Destination = tuple[str, str | None]
+
+
+@lru_cache(maxsize=128)
+def _warn_host_not_allowlisted(host: str) -> None:
+    """Cached so one misconfigured team logs once rather than once per request."""
+    verbose_logger.warning(
+        "OTel V2: not exporting to key/team Langfuse host '%s'. Add it to "
+        "litellm_settings.provider_url_destination_allowed_hosts to permit it",
+        host,
+    )
+
+
+def _langfuse_destination(params: StandardCallbackDynamicParams) -> "_Destination | None":
+    """The tenant's own Langfuse host, else the operator's, else Langfuse US cloud.
+
+    A host the tenant named has to be allowlisted by the operator, the same way a
+    URL-valued ``model`` is: anyone who can mint a key can write it, and it becomes an
+    endpoint the proxy posts the request's whole trace to, carrying the tenant's own
+    credentials. The operator's own ``LANGFUSE_HOST`` is not checked, since an internal
+    collector there is a deployment choice.
+    """
+    from litellm.integrations.langfuse.langfuse_otel import (
+        LANGFUSE_CLOUD_US_ENDPOINT,
+        LangfuseOtelLogger,
+    )
+
+    tenant_host: Final = params.get("langfuse_host") or None
+    host: Final = tenant_host or LangfuseOtelLogger._get_langfuse_otel_host()  # pyright: ignore[reportPrivateUsage]  # reuse the backend's own env host resolver rather than duplicating it
+    if not host:
+        return (LANGFUSE_CLOUD_US_ENDPOINT, None)
+    normalized: Final = host if host.startswith("http") else f"https://{host}"
+    endpoint: Final = f"{normalized.rstrip('/')}/api/public/otel"
+    if tenant_host is None:
+        return (endpoint, None)
+    if not is_url_destination_allowed_by_host(endpoint, litellm.provider_url_destination_allowed_hosts):
+        _warn_host_not_allowlisted(host)
+        return None
+    return (endpoint, None)
+
+
+def _arize_destination(params: StandardCallbackDynamicParams) -> "_Destination | None":
+    from litellm.integrations.arize.arize import ArizeLogger
+
+    config: Final = ArizeLogger.get_arize_config()
+    return (config.endpoint, config.protocol)
+
+
+def _weave_destination(params: StandardCallbackDynamicParams) -> "_Destination | None":
+    from litellm.integrations.weave.weave_otel import weave_otel_endpoint
+
+    return (weave_otel_endpoint(os.environ.get("WANDB_HOST")), None)
+
+
+def _newrelic_destination(params: StandardCallbackDynamicParams) -> "_Destination | None":
+    from litellm.integrations.otel.presets.newrelic import newrelic_dynamic_endpoint
+
+    endpoint: Final = newrelic_dynamic_endpoint(params)
+    return (endpoint, None) if endpoint else None
+
+
+#: Callback name -> destination resolver. A backend is destination-capable exactly
+#: when it appears here AND in ``DYNAMIC_HEADERS_BY_CALLBACK``: without a header
+#: builder the destination would carry no tenant credentials, and the exporter
+#: would post the tenant's traffic to the operator's account.
+_DESTINATION_BY_CALLBACK: Final[Mapping[str, Callable[[StandardCallbackDynamicParams], "_Destination | None"]]] = (
+    MappingProxyType(
+        {
+            "langfuse_otel": _langfuse_destination,
+            "arize": _arize_destination,
+            "weave_otel": _weave_destination,
+            "newrelic": _newrelic_destination,
+        }
+    )
+)
+
+#: Headers a destination must carry to authenticate. Several dynamic-header builders
+#: gate each credential independently, so a half-configured backend yields a non-empty
+#: but unusable header set; accepting it would suppress the operator's own exporter and
+#: send the request's whole trace where it cannot be stored.
+_REQUIRED_HEADERS_BY_CALLBACK: Final[Mapping[str, frozenset[str]]] = MappingProxyType(
+    {
+        "langfuse_otel": frozenset({"Authorization"}),
+        "arize": frozenset({"arize-space-id", "api_key"}),
+        "weave_otel": frozenset({"Authorization", "project_id"}),
+        "newrelic": frozenset({"api-key"}),
+    }
+)
+
+_NO_ATTRS: Final[Mapping[str, str]] = MappingProxyType({})
+
+
+def destination_capable_backends() -> frozenset[str]:
+    """Backends a key or team can point at its own account."""
+    from litellm.integrations.otel.presets import DYNAMIC_HEADERS_BY_CALLBACK
+
+    return frozenset(_DESTINATION_BY_CALLBACK) & frozenset(DYNAMIC_HEADERS_BY_CALLBACK)
+
+
+def destination_for(
+    callback_name: str,
+    params: StandardCallbackDynamicParams,
+    service_name: str | None = None,
+) -> OtelDestination | None:
+    """The destination ``params`` names for ``callback_name``, or ``None``.
+
+    ``None`` means the caller configured nothing usable for this backend, so the
+    request keeps the operator's global exporters. ``service_name`` is the key's or
+    team's ``otel_service_name``, which the per-request tracer route applies when the
+    backend is not overridden and the destination has to apply once it is.
+    """
+    from litellm.integrations.otel.presets import DYNAMIC_HEADERS_BY_CALLBACK
+
+    header_builder: Final = DYNAMIC_HEADERS_BY_CALLBACK.get(callback_name)
+    destination_builder: Final = _DESTINATION_BY_CALLBACK.get(callback_name)
+    if header_builder is None or destination_builder is None:
+        return None
+    headers: Final = header_builder(params)
+    if not headers or not _REQUIRED_HEADERS_BY_CALLBACK[callback_name] <= frozenset(headers):
+        return None
+    resolved: Final = destination_builder(params)
+    if resolved is None:
+        return None
+    endpoint, protocol = resolved
+    return OtelDestination(
+        endpoint=endpoint,
+        headers=MappingProxyType(dict(headers)),  # mutable-ok: MappingProxyType needs a concrete mapping to wrap
+        resource_attributes=MappingProxyType({"service.name": service_name}) if service_name else _NO_ATTRS,
+        callback_name=callback_name,
+        protocol=protocol,
+    )
diff --git a/litellm/integrations/otel/presets/langfuse.py b/litellm/integrations/otel/presets/langfuse.py
index c2f64422eff..9149e0c0d94 100644
--- a/litellm/integrations/otel/presets/langfuse.py
+++ b/litellm/integrations/otel/presets/langfuse.py
@@ -10,17 +10,32 @@ from litellm.integrations.otel.model.config import (
     ExporterSpec,
     OpenTelemetryV2Config,
 )
-from litellm.integrations.otel.presets.utils import ensure_mappers
+from litellm.integrations.otel.presets.utils import (
+    credential_gated_exporters,
+    ensure_mappers,
+)
 from litellm.types.utils import StandardCallbackDynamicParams
 
 
 def langfuse_preset(
     *,
     config_overrides: OpenTelemetryV2Config | None = None,
+    allow_missing_credentials: bool = False,
 ) -> OpenTelemetryV2Config:
-    cfg: Final = _V1Langfuse.get_langfuse_otel_config()
-    kind: Final = cfg.exporter if isinstance(cfg.exporter, str) else "otlp_http"
     base: Final = config_overrides or OpenTelemetryV2Config()
+    mappers: Final = ensure_mappers(base.mapper_names, "langfuse")
+    try:
+        cfg: Final = _V1Langfuse.get_langfuse_otel_config()
+    except Exception:
+        if not allow_missing_credentials:
+            raise
+        return base.model_copy(
+            update={  # mutable-ok: pydantic model_copy takes a plain update mapping
+                "exporters": credential_gated_exporters(base.exporters, ExporterOwner.LANGFUSE_OTEL),
+                "mapper_names": mappers,
+            }
+        )
+    kind: Final = cfg.exporter if isinstance(cfg.exporter, str) else "otlp_http"
     return base.model_copy(
         update={
             "exporters": [
@@ -32,7 +47,7 @@ def langfuse_preset(
                     owner=ExporterOwner.LANGFUSE_OTEL,
                 ),
             ],
-            "mapper_names": ensure_mappers(base.mapper_names, "langfuse"),
+            "mapper_names": mappers,
         }
     )
 
diff --git a/litellm/integrations/otel/presets/langtrace.py b/litellm/integrations/otel/presets/langtrace.py
index c88e4715ab0..2312575f04a 100644
--- a/litellm/integrations/otel/presets/langtrace.py
+++ b/litellm/integrations/otel/presets/langtrace.py
@@ -9,6 +9,7 @@ from litellm.integrations.otel.presets.utils import ensure_mappers
 def langtrace_preset(
     *,
     config_overrides: OpenTelemetryV2Config | None = None,
+    allow_missing_credentials: bool = False,
 ) -> OpenTelemetryV2Config:
     """Compose the Langtrace mapper on top of the customer's OTLP destination.
 
diff --git a/litellm/integrations/otel/presets/levo.py b/litellm/integrations/otel/presets/levo.py
index 41b3758cf3e..c1580cf7a5b 100644
--- a/litellm/integrations/otel/presets/levo.py
+++ b/litellm/integrations/otel/presets/levo.py
@@ -13,6 +13,7 @@ from litellm.integrations.otel.model.config import (
 def levo_preset(
     *,
     config_overrides: OpenTelemetryV2Config | None = None,
+    allow_missing_credentials: bool = False,
 ) -> OpenTelemetryV2Config:
     cfg: Final = _V1Levo.get_levo_config()
     base: Final = config_overrides or OpenTelemetryV2Config()
diff --git a/litellm/integrations/otel/presets/newrelic.py b/litellm/integrations/otel/presets/newrelic.py
index 4660a707355..771b3f643c8 100644
--- a/litellm/integrations/otel/presets/newrelic.py
+++ b/litellm/integrations/otel/presets/newrelic.py
@@ -44,6 +44,7 @@ class _NewRelicSettings(BaseSettings):
 def newrelic_preset(
     *,
     config_overrides: OpenTelemetryV2Config | None = None,
+    allow_missing_credentials: bool = False,
 ) -> OpenTelemetryV2Config:
     settings: Final = _NewRelicSettings()
     base: Final = config_overrides or OpenTelemetryV2Config()
diff --git a/litellm/integrations/otel/presets/phoenix.py b/litellm/integrations/otel/presets/phoenix.py
index eef407b6c1b..f4f34ee7525 100644
--- a/litellm/integrations/otel/presets/phoenix.py
+++ b/litellm/integrations/otel/presets/phoenix.py
@@ -60,6 +60,7 @@ def phoenix_project_headers(auth_metadata: Mapping[str, str] | None) -> Mapping[
 def phoenix_preset(
     *,
     config_overrides: OpenTelemetryV2Config | None = None,
+    allow_missing_credentials: bool = False,
 ) -> OpenTelemetryV2Config:
     cfg: Final = _V1Phoenix.get_arize_phoenix_config()
     headers: Final = cfg.otlp_auth_headers if hasattr(cfg, "otlp_auth_headers") else None
diff --git a/litellm/integrations/otel/presets/utils.py b/litellm/integrations/otel/presets/utils.py
index 328569d3daf..1270c41e77b 100644
--- a/litellm/integrations/otel/presets/utils.py
+++ b/litellm/integrations/otel/presets/utils.py
@@ -3,6 +3,8 @@
 from collections.abc import Iterable
 from typing import Final
 
+from litellm.integrations.otel.model.config import ExporterOwner, ExporterSpec
+
 
 def ensure_mappers(mapper_names: Iterable[str], *names: str) -> list[str]:
     """Return ``mapper_names`` with each of ``names`` appended if not already present.
@@ -15,3 +17,32 @@ def ensure_mappers(mapper_names: Iterable[str], *names: str) -> list[str]:
         if name not in result:
             result.append(name)
     return result
+
+
+def credential_gated_exporters(
+    exporters: "Iterable[ExporterSpec]", owner: "ExporterOwner"
+) -> "tuple[ExporterSpec, ...]":
+    """``exporters`` with the operator's destination replaced by a header-gated one.
+
+    Used when a credential-mandatory backend is asked to build without the operator's
+    own credentials, so only key/team destinations receive spans. Two things have to
+    happen for that to mean "export nowhere": the placeholder console spec that
+    ``OpenTelemetryV2Config`` folds in for an empty exporter list is dropped, or every
+    span would be printed to stdout, and the gated spec keeps the owner so the
+    override filter still recognises which backend this provider speaks for.
+    """
+    return (
+        *(spec for spec in exporters if not is_unconfigured_placeholder(spec)),
+        ExporterSpec(owner=owner, requires_headers=True),
+    )
+
+
+def is_unconfigured_placeholder(spec: "ExporterSpec") -> bool:
+    """Whether ``spec`` is the one ``_normalize`` folds in when nothing was configured.
+
+    No field set is what says the operator asked for nothing: an exporter they did
+    configure survives, even ``OTEL_EXPORTER=console`` whose value matches the default,
+    and so does the gated spec this module appends, which would otherwise eat itself
+    when one preset layers onto another.
+    """
+    return not spec.model_fields_set
diff --git a/litellm/integrations/otel/presets/weave.py b/litellm/integrations/otel/presets/weave.py
index 51d0ad01093..644cd39ad36 100644
--- a/litellm/integrations/otel/presets/weave.py
+++ b/litellm/integrations/otel/presets/weave.py
@@ -7,7 +7,10 @@ from litellm.integrations.otel.model.config import (
     ExporterSpec,
     OpenTelemetryV2Config,
 )
-from litellm.integrations.otel.presets.utils import ensure_mappers
+from litellm.integrations.otel.presets.utils import (
+    credential_gated_exporters,
+    ensure_mappers,
+)
 from litellm.integrations.weave.weave_otel import (
     _get_weave_authorization_header,
     get_weave_otel_config,
@@ -18,9 +21,21 @@ from litellm.types.utils import StandardCallbackDynamicParams
 def weave_preset(
     *,
     config_overrides: OpenTelemetryV2Config | None = None,
+    allow_missing_credentials: bool = False,
 ) -> OpenTelemetryV2Config:
-    weave_cfg: Final = get_weave_otel_config()
     base: Final = config_overrides or OpenTelemetryV2Config()
+    mappers: Final = ensure_mappers(base.mapper_names, "openinference", "weave")
+    try:
+        weave_cfg: Final = get_weave_otel_config()
+    except Exception:
+        if not allow_missing_credentials:
+            raise
+        return base.model_copy(
+            update={  # mutable-ok: pydantic model_copy takes a plain update mapping
+                "exporters": credential_gated_exporters(base.exporters, ExporterOwner.WEAVE_OTEL),
+                "mapper_names": mappers,
+            }
+        )
     return base.model_copy(
         update={
             "exporters": [
@@ -33,7 +48,7 @@ def weave_preset(
                 ),
             ],
             # Weave consumes OpenInference + a small Weave-specific overlay.
-            "mapper_names": ensure_mappers(base.mapper_names, "openinference", "weave"),
+            "mapper_names": mappers,
         }
     )
 
diff --git a/litellm/integrations/weave/weave_otel.py b/litellm/integrations/weave/weave_otel.py
index f2cc64a9ba2..50289263f38 100644
--- a/litellm/integrations/weave/weave_otel.py
+++ b/litellm/integrations/weave/weave_otel.py
@@ -117,6 +117,14 @@ def _get_weave_authorization_header(api_key: str) -> str:
     return f"Basic {auth_header}"
 
 
+def weave_otel_endpoint(host: str | None) -> str:
+    """The OTLP traces endpoint for a self-managed ``host``, else Weave cloud."""
+    if not host:
+        return WEAVE_BASE_URL + WEAVE_OTEL_ENDPOINT
+    normalized: Final = host if host.startswith("http") else f"https://{host}"
+    return normalized.rstrip("/") + WEAVE_OTEL_ENDPOINT
+
+
 def get_weave_otel_config() -> WeaveOtelConfig:
     """
     Retrieves the Weave OpenTelemetry configuration based on environment variables.
@@ -134,7 +142,6 @@ def get_weave_otel_config() -> WeaveOtelConfig:
     """
     api_key: Final = os.getenv("WANDB_API_KEY")
     project_id: Final = os.getenv("WANDB_PROJECT_ID")
-    host = os.getenv("WANDB_HOST")
 
     if not api_key:
         raise ValueError("WANDB_API_KEY must be set for Weave OpenTelemetry integration.")
@@ -144,15 +151,8 @@ def get_weave_otel_config() -> WeaveOtelConfig:
             "WANDB_PROJECT_ID must be set for Weave OpenTelemetry integration. Format: <entity>/<project_name>"
         )
 
-    if host:
-        if not host.startswith("http"):
-            host = "https://" + host
-        # Self-managed instances use a different path
-        endpoint = host.rstrip("/") + WEAVE_OTEL_ENDPOINT
-        verbose_logger.debug("Using Weave OTEL endpoint from host: %s", endpoint)
-    else:
-        endpoint = WEAVE_BASE_URL + WEAVE_OTEL_ENDPOINT
-        verbose_logger.debug("Using Weave cloud endpoint: %s", endpoint)
+    endpoint: Final = weave_otel_endpoint(os.getenv("WANDB_HOST"))
+    verbose_logger.debug("Using Weave OTEL endpoint: %s", endpoint)
 
     # Weave uses Basic auth with format: api:<WANDB_API_KEY>
     auth_header: Final = _get_weave_authorization_header(api_key=api_key)
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index c5fcf0bd2a0..b0d6db20b31 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -202,6 +202,7 @@ if TYPE_CHECKING:
     from mcp.types import EmbeddedResource, ImageContent, TextContent
 
     from litellm.integrations.otel.logger import OpenTelemetryV2
+    from litellm.integrations.otel.model.config import ExporterSpec, OpenTelemetryV2Config
     from litellm.llms.base_llm.passthrough.transformation import BasePassthroughConfig
 try:
     from litellm_enterprise.enterprise_callbacks.callback_controls import (
@@ -4850,31 +4851,83 @@ def _maybe_construct_otel_v2(callback_name: str, _in_memory_loggers: list[Custom
 
     Returns ``None`` when V2 is off OR when there's no preset registered for
     ``callback_name`` — callers should then fall through to the legacy path.
+
+    A preset that needs operator credentials it cannot find is allowed to build
+    only when this request has a key/team destination for that backend and another
+    V2 logger is already registered to carry the fan-out. The resulting logger keeps
+    only its credential-gated exporter, while the registered logger owns operator
+    delivery. Without that carrier, a preset that raises or that ends up with nothing
+    but its gated exporter and the default console placeholder returns ``None``, so the
+    caller falls through to the legacy path exactly as before V2 landed.
     """
     from litellm.integrations.otel.model.config import is_otel_v2_enabled
 
     if not is_otel_v2_enabled():
         return None
     from litellm.integrations.otel.logger import OpenTelemetryV2, build_otel_v2_logger
+    from litellm.integrations.otel.plumbing.context import destination_backends
     from litellm.integrations.otel.presets import PRESET_BY_CALLBACK
 
     preset_fn: Final = PRESET_BY_CALLBACK.get(callback_name)
     if preset_fn is None:
         return None
+    serves_a_destination: Final = callback_name in destination_backends()
+    has_v2_logger: Final = any(isinstance(callback, OpenTelemetryV2) for callback in _in_memory_loggers)
+    carried: Final = serves_a_destination and has_v2_logger
     for callback in _in_memory_loggers:
-        if isinstance(callback, OpenTelemetryV2) and getattr(callback, "callback_name", None) == callback_name:
+        if (
+            isinstance(callback, OpenTelemetryV2)
+            and getattr(callback, "callback_name", None) == callback_name
+            and (serves_a_destination or not _exports_nowhere(callback.config))
+        ):
             return callback
     try:
-        config: Final = preset_fn()
+        built: Final = preset_fn(allow_missing_credentials=carried)
     except Exception:
         # If env vars are missing or the preset raises, defer to the legacy path
         # so customers get the same error story they had before V2 landed.
         return None
+    gated: Final = _is_credential_gated(built)
+    if gated and not carried and not _has_operator_exporter(built):
+        return None
+    config: Final = _only_the_gated_exporter(built) if gated and carried else built
+    if _exports_nowhere(config):
+        verbose_logger.warning(
+            "OTel V2: no operator credentials for '%s'; only key/team destinations will receive its traces",
+            callback_name,
+        )
     v2_logger: Final = build_otel_v2_logger(config=config, callback_name=callback_name)
     _in_memory_loggers.append(v2_logger)
     return v2_logger
 
 
+def _exports_nowhere(config: "OpenTelemetryV2Config") -> bool:
+    """Whether every exporter in ``config`` is waiting on credentials it never got."""
+    return all(_is_gated(spec) for spec in config.exporters)
+
+
+def _is_credential_gated(config: "OpenTelemetryV2Config") -> bool:
+    """Whether the preset built without the operator's own credentials for its backend."""
+    return any(_is_gated(spec) for spec in config.exporters)
+
+
+def _has_operator_exporter(config: "OpenTelemetryV2Config") -> bool:
+    """Whether the operator configured somewhere real to export, beyond the default console placeholder."""
+    from litellm.integrations.otel.presets.utils import is_unconfigured_placeholder
+
+    return any(not _is_gated(spec) and not is_unconfigured_placeholder(spec) for spec in config.exporters)
+
+
+def _only_the_gated_exporter(config: "OpenTelemetryV2Config") -> "OpenTelemetryV2Config":
+    return config.model_copy(
+        update={"exporters": [spec for spec in config.exporters if _is_gated(spec)]}  # mutable-ok: model_copy update
+    )
+
+
+def _is_gated(spec: "ExporterSpec") -> bool:
+    return spec.requires_headers and not spec.headers
+
+
 def _maybe_auto_initialize_arize_phoenix(_in_memory_loggers: list[CustomLogger]) -> None:
     """
     Auto-initialize ArizePhoenixLogger when Phoenix env vars are detected.
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index a44a041fdff..1b1e77d27ef 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -19,7 +19,7 @@ from typing import TYPE_CHECKING, Any, Final, Protocol
 
 import httpx
 from fastapi import FastAPI, HTTPException
-from pydantic import AnyUrl, ConfigDict
+from pydantic import AnyUrl, ConfigDict, TypeAdapter, ValidationError
 from starlette.requests import Request as StarletteRequest
 from starlette.responses import JSONResponse
 from starlette.types import Message, Receive, Scope, Send
@@ -108,9 +108,9 @@ _MAX_STATEFUL_SESSIONS_PER_OWNER: Final = 100
 # prevents an authenticated client from forcing the proxy to buffer an
 # arbitrarily large body just to make a routing decision.
 _MCP_ROUTING_PEEK_MAX_BYTES: Final = 4096
-# ASGI scope key holding the tracing span of the request carrying an MCP
-# message, written on the request task and read back by the message handler.
+# ASGI scope keys carrying OTel request state into a stateful MCP message handler.
 _MCP_TRANSPORT_SPAN_SCOPE_KEY: Final = "litellm_otel_transport_span"
+_MCP_DESTINATIONS_SCOPE_KEY: Final = "litellm_otel_request_destinations"
 
 
 def _invalidate_byok_cred_cache(user_id: str, server_id: str) -> None:
@@ -328,18 +328,17 @@ def _otel_publish_transport_span_on_scope(scope: Scope) -> None:
         scope[_MCP_TRANSPORT_SPAN_SCOPE_KEY] = span
 
 
-def _otel_transport_span_from_message(req_ctx: object) -> object:
-    """The tracing span of the HTTP request that carried this MCP message.
-
-    Read off that request's ASGI scope, reached through the ``Request`` the
-    streamable-HTTP transport attaches to each message, so it is this message's
-    transport and not whichever request happens to have touched the session last.
-    Returns whatever the scope holds; the otel plumbing validates it."""
+def _otel_value_from_message_scope(req_ctx: object, key: str) -> object:
     request: Final = getattr(req_ctx, "request", None)
     scope: Final = getattr(request, "scope", None)
     if not isinstance(scope, Mapping):
         return None
-    return scope.get(_MCP_TRANSPORT_SPAN_SCOPE_KEY)
+    return scope.get(key)
+
+
+def _otel_transport_span_from_message(req_ctx: object) -> object:
+    """The tracing span of the HTTP request that carried this MCP message."""
+    return _otel_value_from_message_scope(req_ctx, _MCP_TRANSPORT_SPAN_SCOPE_KEY)
 
 
 def _otel_set_mcp_transport_span(span: object) -> object:
@@ -372,6 +371,44 @@ def _otel_reset_mcp_transport_span(token: object) -> None:
         return
 
 
+def _otel_publish_request_destinations_on_scope(scope: Scope) -> None:
+    try:
+        from litellm.integrations.otel.plumbing.context import request_destinations
+
+        scope[_MCP_DESTINATIONS_SCOPE_KEY] = request_destinations()
+    except ImportError:
+        return
+
+
+def _otel_set_mcp_request_destinations(req_ctx: object) -> object:
+    destinations: Final = _otel_value_from_message_scope(req_ctx, _MCP_DESTINATIONS_SCOPE_KEY)
+    if not isinstance(destinations, tuple):
+        return None
+    try:
+        from litellm.integrations.otel.model.destination import OtelDestination
+        from litellm.integrations.otel.plumbing.context import set_request_destinations
+
+        destination_adapter: Final[TypeAdapter[tuple[OtelDestination, ...]]] = TypeAdapter(
+            tuple[OtelDestination, ...],
+            config=ConfigDict(revalidate_instances="always"),
+        )
+        validated_destinations: Final = destination_adapter.validate_python(destinations, strict=True)
+        return set_request_destinations(validated_destinations)
+    except (ImportError, ValidationError):
+        return None
+
+
+def _otel_reset_mcp_request_destinations(token: object) -> None:
+    if token is None:
+        return
+    try:
+        from litellm.integrations.otel.plumbing.context import reset_request_destinations
+
+        reset_request_destinations(token)
+    except ImportError:
+        return
+
+
 def _proxy_exception_to_http_exception(exc: ProxyException) -> HTTPException:
     """Map a ``ProxyException`` to an ``HTTPException`` that preserves its real
     status code and headers.
@@ -763,10 +800,12 @@ if MCP_AVAILABLE:
             _session_reset_token = active_mcp_session_var.set(req_ctx.session)
         _trace_token = None
         _transport_token = None
+        _destinations_token = None
 
         try:
             _trace_token = _otel_set_mcp_trace_carrier(_mcp_meta_trace_carrier(req_ctx))
             _transport_token = _otel_set_mcp_transport_span(_otel_transport_span_from_message(req_ctx))
+            _destinations_token = _otel_set_mcp_request_destinations(req_ctx)
             # Get user authentication from context variable
             (
                 user_api_key_auth,
@@ -828,6 +867,7 @@ if MCP_AVAILABLE:
             # This prevents the HTTP stream from failing and allows the client to get a response
             return []
         finally:
+            _otel_reset_mcp_request_destinations(_destinations_token)
             _otel_reset_mcp_transport_span(_transport_token)
             _otel_reset_mcp_trace_carrier(_trace_token)
             if _session_reset_token is not None:
@@ -1021,10 +1061,12 @@ if MCP_AVAILABLE:
             _session_reset_token = active_mcp_session_var.set(req_ctx.session)
         _trace_token = None
         _transport_token = None
+        _destinations_token = None
 
         try:
             _trace_token = _otel_set_mcp_trace_carrier(_mcp_meta_trace_carrier(req_ctx))
             _transport_token = _otel_set_mcp_transport_span(_otel_transport_span_from_message(req_ctx))
+            _destinations_token = _otel_set_mcp_request_destinations(req_ctx)
             # Validate arguments
             (
                 user_api_key_auth,
@@ -1163,6 +1205,7 @@ if MCP_AVAILABLE:
 
             return response
         finally:
+            _otel_reset_mcp_request_destinations(_destinations_token)
             _otel_reset_mcp_transport_span(_transport_token)
             _otel_reset_mcp_trace_carrier(_trace_token)
             if _session_reset_token is not None:
@@ -4493,6 +4536,7 @@ if MCP_AVAILABLE:
 
             async def _dispatch() -> None:
                 _otel_publish_transport_span_on_scope(scope)
+                _otel_publish_request_destinations_on_scope(scope)
                 auth_user: Final = _set_or_update_auth_context(
                     user_api_key_auth=user_api_key_auth,
                     mcp_auth_header=mcp_auth_header,
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index d8679627bc3..5a2a20f8f59 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -2837,6 +2837,43 @@ async def _authorize_authenticated_request(
 
 
 @tracer.wrap()
+def _seed_request_destinations(user_api_key_dict: UserAPIKeyAuth, request: Request | None = None) -> None:
+    """Anchor the OTLP destinations this key or team overrides its traces to.
+
+    Called inside the ``auth`` phase span so that span reaches the tenant's account
+    as well, and on the request task so the ``ContextVar`` is inherited by the logging
+    tasks that close the LLM span. Best-effort: trace routing must never fail auth.
+
+    ``request`` carries the headers, so a backend this request disabled with
+    ``x-litellm-disable-callbacks`` resolves to no destination.
+
+    Only destinations the published fan-out can build are anchored. Anchoring one is
+    what tells the operator's exporter to hold that backend's spans back under
+    ``override``, so an unbuildable one would leave the span with nowhere to go.
+
+    The ``postgres`` spans under ``auth`` close before this runs, because they are the
+    reads that resolve the identity being read here. They never reach the tenant's
+    account, and they are never withheld from the operator's backend, whichever mode
+    is set.
+    """
+    try:
+        from litellm.integrations.otel.logger import fan_out_provider
+        from litellm.integrations.otel.plumbing.context import set_request_destinations
+        from litellm.integrations.otel.plumbing.providers import deliverable_destinations
+        from litellm.proxy.litellm_pre_call_utils import (
+            resolve_tenant_otel_destinations,
+        )
+
+        set_request_destinations(
+            deliverable_destinations(
+                resolve_tenant_otel_destinations(user_api_key_dict, _safe_get_request_headers(request)),
+                fan_out_provider(),
+            )
+        )
+    except Exception as exc:  # noqa: BLE001  # telemetry routing is best-effort and must never break authentication
+        verbose_proxy_logger.debug("OTel V2: tenant destination resolution failed: %s", exc)
+
+
 async def user_api_key_auth(
     request: Request,
     api_key: str = fastapi.Security(api_key_header),
@@ -2883,6 +2920,7 @@ async def user_api_key_auth(
                 raise body_parse_exception
             raise
         user_api_key_auth_obj.budget_reservation = None
+        _seed_request_destinations(user_api_key_auth_obj, request)
 
         # A body that never parsed is authenticated (so the trace carries identity
         # and this ``auth`` span) but not authorized: there is no model to check it
diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index 12798c92eba..d0eb75bc29a 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -10,6 +10,7 @@ from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, cast
 
 from fastapi import HTTPException, Request
+from pydantic import TypeAdapter
 from pydantic import ValidationError as PydanticValidationError
 from starlette.datastructures import Headers
 
@@ -28,6 +29,7 @@ from litellm.constants import (
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
     SESSION_ID_GENERATED_METADATA_KEY,
     SESSION_ID_OMITTED_METADATA_KEY,
+    X_LITELLM_DISABLE_CALLBACKS,
 )
 from litellm.litellm_core_utils.credential_accessor import CredentialAccessor
 from litellm.litellm_core_utils.initialize_dynamic_callback_params import (
@@ -159,6 +161,7 @@ from litellm.types.utils import (
     CustomPricingLiteLLMParams,
     LlmProviders,
     ProviderSpecificHeader,
+    StandardCallbackDynamicParams,
     StandardLoggingUserAPIKeyMetadata,
     SupportedCacheControls,
 )
@@ -172,6 +175,7 @@ _ENABLE_TEAM_STALE_ALIAS_BYPASS: bool | None = None
 
 
 if TYPE_CHECKING:
+    from litellm.integrations.otel.model.destination import OtelDestination
     from litellm.proxy.proxy_server import ProxyConfig as _ProxyConfig
     from litellm.types.proxy.policy_engine import Policy, PolicyMatchContext
 
@@ -975,6 +979,142 @@ def _get_dynamic_logging_metadata(
     return callback_settings_obj
 
 
+_TENANT_OTEL_PARAMS: Final = TypeAdapter(StandardCallbackDynamicParams)
+
+
+def _tenant_otel_params(callback_vars: Mapping[str, str]) -> StandardCallbackDynamicParams:
+    try:
+        return _TENANT_OTEL_PARAMS.validate_python(callback_vars)
+    except PydanticValidationError:
+        return StandardCallbackDynamicParams()
+
+
+_NO_REQUEST_HEADERS: Final[Mapping[str, str]] = MappingProxyType({})
+
+
+def _dynamically_disabled_backends(
+    user_api_key_dict: UserAPIKeyAuth,
+    request_headers: Mapping[str, str] | None,
+) -> frozenset[str]:
+    """The callbacks this request turned off, read the way dispatch reads them.
+
+    Same sources, precedence, and premium gate ``EnterpriseCallbackControls`` applies
+    before it skips a callback: the ``x-litellm-disable-callbacks`` header wins over the
+    key's stored list, team settings are not a source, and a non-premium proxy honours
+    neither. A destination has to agree with that decision, or a backend the key turned
+    off would still be exported to, now through the fan-out instead of the callback.
+    """
+    from litellm.proxy.proxy_server import premium_user
+
+    if litellm.allow_dynamic_callback_disabling is not True or not premium_user:
+        return frozenset()
+    header: Final = (request_headers if request_headers is not None else _NO_REQUEST_HEADERS).get(
+        X_LITELLM_DISABLE_CALLBACKS
+    )
+    if header is not None:
+        return frozenset(name.strip().lower() for name in header.split(","))
+    metadata: Final = user_api_key_dict.metadata
+    disabled: Final = metadata.get("litellm_disabled_callbacks") if metadata else None
+    if not isinstance(disabled, list):
+        return frozenset()
+    return frozenset(name.lower() for name in disabled if isinstance(name, str))
+
+
+def resolve_tenant_otel_destinations(
+    user_api_key_dict: UserAPIKeyAuth,
+    request_headers: Mapping[str, str] | None = None,
+) -> "tuple[OtelDestination, ...]":
+    """The OTLP destinations this request's key or team config overrides its traces to.
+
+    Key settings win over team settings outright, the same precedence
+    ``_get_dynamic_logging_metadata`` applies, so one caller never exports the same
+    backend to two accounts. An empty key-level list counts as configured, since that
+    is what disabling a key's callbacks writes. Returns empty when OTEL V2 is off, when
+    neither level named a destination-capable backend, or when the config is
+    incomplete, and the request then keeps the operator's own exporters.
+
+    Two entries naming the same backend merge their ``callback_vars`` last-wins, the
+    way ``convert_key_logging_metadata_to_callback`` merges them, so the destination
+    and the per-request tracer routing cannot read one config two ways.
+
+    A ``failure``-only entry is skipped: a destination is resolved during auth, before
+    the request has an outcome, so honouring the filter would mean holding every span
+    back until the call finishes. Those entries keep today's behaviour instead, where
+    the tenant's credentials reach the backend through per-request tracer routing and
+    the operator's exporter is left alone.
+
+    A backend the request disabled dynamically, through the key's
+    ``litellm_disabled_callbacks`` or the ``x-litellm-disable-callbacks`` header in
+    ``request_headers``, resolves to no destination, so the fan-out never carries the
+    request tree to that account and the operator's exporter is never suppressed for
+    it. That leaves the request exactly where it stood before destinations existed:
+    the OTel V2 logger itself is not on the disable list's class registry, so its own
+    span still routes to the tenant's credentials the way it did then.
+    """
+    from litellm.integrations.otel.model.config import is_otel_v2_enabled
+    from litellm.integrations.otel.presets.destinations import destination_for
+
+    if not is_otel_v2_enabled():
+        return ()
+    key_entries: Final = KeyAndTeamLoggingSettings.get_key_dynamic_logging_settings(user_api_key_dict)
+    entries: Final = (
+        key_entries
+        if key_entries is not None
+        else KeyAndTeamLoggingSettings.get_team_dynamic_logging_settings(user_api_key_dict)
+    )
+    if not entries:
+        return ()
+    disabled: Final = _dynamically_disabled_backends(user_api_key_dict, request_headers)
+    callbacks: Final = tuple(
+        callback
+        for item in entries
+        if (callback := _get_validated_callback_metadata(item=item, source="otel-destination")) is not None
+        if callback.callback_type != "failure"
+        if callback.callback_name.lower() not in disabled
+    )
+    return tuple(
+        destination
+        for name in dict.fromkeys(callback.callback_name for callback in callbacks)
+        if (
+            destination := destination_for(
+                name,
+                _tenant_otel_params(
+                    MappingProxyType(
+                        {
+                            var: value
+                            for callback in callbacks
+                            if callback.callback_name == name
+                            for var, value in callback.callback_vars.items()
+                        }
+                    )
+                ),
+                _tenant_service_name(user_api_key_dict),
+            )
+        )
+        is not None
+    )
+
+
+def _tenant_service_name(user_api_key_dict: UserAPIKeyAuth) -> str | None:
+    """The ``service.name`` this key or team configured, the key winning over its team.
+
+    Same fields and same precedence the request-metadata build applies, read straight
+    off the auth object because destinations resolve during auth, before that metadata
+    is assembled.
+    """
+    sources: Final = (user_api_key_dict.metadata, user_api_key_dict.team_metadata)
+    return next(
+        (
+            stripped
+            for source in sources
+            if source
+            for field in OTEL_SERVICE_NAME_METADATA_KEYS
+            if isinstance(value := source.get(field), str) and (stripped := value.strip())
+        ),
+        None,
+    )
+
+
 def clean_headers(
     headers: Headers,
     litellm_key_header_name: str | None = None,
diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py b/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py
new file mode 100644
index 00000000000..1799381bada
--- /dev/null
+++ b/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py
@@ -0,0 +1,2719 @@
+"""Key/team OTLP destinations override the operator's exporters for that backend."""
+
+import contextvars
+import time
+from collections.abc import Mapping
+from types import MappingProxyType
+
+import pytest
+from opentelemetry.sdk.resources import Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
+from opentelemetry.trace import Status, StatusCode
+
+import litellm
+from litellm.integrations.custom_logger import CustomLogger
+from litellm.integrations.otel import logger as otel_logger
+from litellm.integrations.otel.logger import (
+    OpenTelemetryV2,
+    build_otel_v2_logger,
+    fan_out_provider,
+    publish_global_otel_v2_provider,
+)
+from litellm.integrations.otel.model.config import (
+    ExporterOwner,
+    ExporterSpec,
+    OpenTelemetryV2Config,
+    is_otel_v2_enabled,
+)
+from litellm.integrations.otel.model.destination import OtelDestination
+from litellm.integrations.otel.plumbing import providers as otel_providers
+from litellm.integrations.otel.plumbing.context import (
+    destination_backends,
+    request_destinations,
+    set_request_destinations,
+)
+from litellm.integrations.otel.plumbing.providers import (
+    TenantFanOutSpanProcessor,
+    _OverriddenBackendFilter,
+    _sink_key,
+    build_tracer_provider,
+    deliverable_destinations,
+    operator_sink_keys,
+)
+from litellm.integrations.otel.plumbing.routing import TenantTracerCache, get_tracer
+from litellm.integrations.otel.presets.arize import arize_preset
+from litellm.integrations.otel.presets.destinations import (
+    destination_capable_backends,
+    destination_for,
+)
+from litellm.integrations.otel.presets.langfuse import langfuse_preset
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.litellm_pre_call_utils import resolve_tenant_otel_destinations
+from litellm.types.utils import StandardCallbackDynamicParams
+
+LANGFUSE_DEST = OtelDestination(
+    endpoint="http://tenant.local/api/public/otel",
+    headers={"Authorization": "Basic dGVuYW50"},
+    callback_name="langfuse_otel",
+)
+
+
+@pytest.fixture
+def allow_test_hosts(monkeypatch):
+    """A tenant-supplied host must be allowlisted by the operator. Allowlist the ones
+    these fixtures name so the resolution tests stay about resolution;
+    ``TestTenantHostSsrfGuard`` covers the guard itself."""
+    monkeypatch.setattr(
+        litellm, "provider_url_destination_allowed_hosts", ["team.local", "key.local", "x"], raising=False
+    )
+
+
+@pytest.fixture(autouse=True)
+def isolate_published_provider(monkeypatch):
+    """Publishing records the fan-out carrier in module state; one test's publish must
+    not become the next test's provider."""
+    monkeypatch.setattr(otel_logger, "_published_v2_provider", None)
+
+
+def in_fresh_context(fn, *args):
+    """Run ``fn`` in its own context so one test's destinations never leak."""
+    return contextvars.copy_context().run(fn, *args)
+
+
+def emit(provider: TracerProvider, name: str = "chat gpt-4") -> None:
+    with get_tracer(provider, "litellm").start_as_current_span(name):
+        pass
+
+
+def wired_provider(dest_exporter: InMemorySpanExporter, global_exporter: InMemorySpanExporter) -> TracerProvider:
+    """The operator's provider: one owned exporter plus the tenant fan-out."""
+    provider = TracerProvider()
+    provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(global_exporter), "langfuse_otel"))
+    provider.add_span_processor(
+        TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+    )
+    return provider
+
+
+class TestOverrideSuppression:
+    def test_operator_exporter_keeps_the_span_when_no_destination_is_resolved(self):
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = wired_provider(dest_exporter, global_exporter)
+
+        in_fresh_context(emit, provider)
+
+        assert [s.name for s in global_exporter.get_finished_spans()] == ["chat gpt-4"]
+        assert dest_exporter.get_finished_spans() == ()
+
+    def test_operator_exporter_is_skipped_once_the_backend_is_overridden(self):
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = wired_provider(dest_exporter, global_exporter)
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            emit(provider)
+
+        in_fresh_context(run)
+
+        assert global_exporter.get_finished_spans() == ()
+        assert [s.name for s in dest_exporter.get_finished_spans()] == ["chat gpt-4"]
+
+    def test_a_backend_the_request_did_not_override_still_exports(self):
+        arize_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(arize_exporter), "arize"))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+        )
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            emit(provider)
+
+        in_fresh_context(run)
+
+        assert [s.name for s in arize_exporter.get_finished_spans()] == ["chat gpt-4"]
+
+
+class TestRoutingMode:
+    """The operator's choice between replacing its own exporter and exporting alongside it.
+
+    One org-wide backend across every team is a real deployment, and losing it the
+    moment a team configures its own is what ``additive`` exists to prevent.
+    """
+
+    OPERATOR_SINK = ("https://cloud.langfuse.com/api/public/otel/v1/traces", (("authorization", "Basic op"),))
+    #: What a tenant destination for that same project looks like before normalizing:
+    #: no signal path yet, and the header name cased the way the backend writes it.
+    SAME_ACCOUNT_ENDPOINT = "https://cloud.langfuse.com/api/public/otel"
+
+    @staticmethod
+    def _additive(monkeypatch):
+        monkeypatch.setattr(litellm, "otel_tenant_destination_mode", "additive", raising=False)
+
+    @staticmethod
+    def _tree(provider):
+        tracer = get_tracer(provider, "litellm")
+        with tracer.start_as_current_span("POST /v1/chat/completions"):
+            with tracer.start_as_current_span("auth /v1/chat/completions"):
+                pass
+            with tracer.start_as_current_span("chat gpt-4"):
+                pass
+
+    def _run(self, provider, destinations=(LANGFUSE_DEST,)):
+        def run():
+            set_request_destinations(destinations)
+            self._tree(provider)
+
+        in_fresh_context(run)
+
+    def test_global_only_keeps_every_span_and_delivers_to_nobody(self):
+        """No team destination resolved, so the operator's backbone is untouched."""
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = wired_provider(dest_exporter, global_exporter)
+
+        self._run(provider, destinations=())
+
+        assert len(global_exporter.get_finished_spans()) == 3
+        assert dest_exporter.get_finished_spans() == ()
+
+    def test_team_only_gets_the_whole_tree_with_no_operator_exporter(self):
+        """A deployment with no operator credentials still gives the team its trace."""
+        dest_exporter = InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+        )
+
+        self._run(provider)
+
+        assert {s.name for s in dest_exporter.get_finished_spans()} == {
+            "POST /v1/chat/completions",
+            "auth /v1/chat/completions",
+            "chat gpt-4",
+        }
+
+    def test_additive_gives_the_operator_and_the_team_the_same_tree(self, monkeypatch):
+        self._additive(monkeypatch)
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = wired_provider(dest_exporter, global_exporter)
+
+        self._run(provider)
+
+        names = {"POST /v1/chat/completions", "auth /v1/chat/completions", "chat gpt-4"}
+        assert {s.name for s in global_exporter.get_finished_spans()} == names
+        assert {s.name for s in dest_exporter.get_finished_spans()} == names
+        assert len(global_exporter.get_finished_spans()) == 3, "the operator must not get a span twice"
+
+    def test_override_moves_the_tree_off_the_operator(self):
+        """The default, unchanged: the tenant's traffic reaches the tenant and nowhere else."""
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = wired_provider(dest_exporter, global_exporter)
+
+        self._run(provider)
+
+        assert global_exporter.get_finished_spans() == ()
+        assert len(dest_exporter.get_finished_spans()) == 3
+
+    def test_a_team_naming_the_operators_own_project_is_written_once(self, monkeypatch):
+        """Fanning out to two accounts is the point. Writing the same account twice
+        is a duplicate the operator would see in their own project."""
+        self._additive(monkeypatch)
+        shared = InMemorySpanExporter()
+        same = OtelDestination(
+            endpoint=self.SAME_ACCOUNT_ENDPOINT,
+            headers=MappingProxyType({"Authorization": "Basic op"}),
+            callback_name="langfuse_otel",
+        )
+        provider = TracerProvider()
+        provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(shared), "langfuse_otel"))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(
+                processor_factory=lambda _d: SimpleSpanProcessor(shared),
+                operator_sinks=frozenset({self.OPERATOR_SINK}),
+            )
+        )
+
+        self._run(provider, destinations=(same,))
+
+        assert len(shared.get_finished_spans()) == 3, "the same account received the trace twice"
+
+    def test_in_override_a_team_naming_the_operators_project_still_gets_the_trace(self):
+        """Override suppresses the operator's own exporter, so the fan-out is the only
+        thing left delivering. Skipping it on a matching account leaves the team with
+        nothing at all."""
+        shared = InMemorySpanExporter()
+        same = OtelDestination(
+            endpoint=self.SAME_ACCOUNT_ENDPOINT,
+            headers=MappingProxyType({"Authorization": "Basic op"}),
+            callback_name="langfuse_otel",
+        )
+        provider = TracerProvider()
+        provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(shared), "langfuse_otel"))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(
+                processor_factory=lambda _d: SimpleSpanProcessor(shared),
+                operator_sinks=frozenset({self.OPERATOR_SINK}),
+            )
+        )
+
+        self._run(provider, destinations=(same,))
+
+        assert len(shared.get_finished_spans()) == 3, "the team's own destination received nothing"
+
+    def test_a_team_naming_a_different_project_still_gets_its_copy(self, monkeypatch):
+        """The dedup keys on the account, so a second project is still a second copy."""
+        self._additive(monkeypatch)
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(global_exporter), "langfuse_otel"))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(
+                processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter),
+                operator_sinks=frozenset({self.OPERATOR_SINK}),
+            )
+        )
+
+        self._run(provider)
+
+        assert len(global_exporter.get_finished_spans()) == 3
+        assert len(dest_exporter.get_finished_spans()) == 3
+
+    @pytest.mark.parametrize("additive", [True, False])
+    def test_a_failing_team_destination_leaves_the_operator_alone(self, monkeypatch, additive):
+        """A tenant collector that raises on every span must not cost the operator
+        its own telemetry, nor take the request down with it."""
+        if additive:
+            self._additive(monkeypatch)
+        global_exporter, arize_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+
+        class Exploding(SimpleSpanProcessor):
+            def on_end(self, span):
+                raise RuntimeError("tenant collector is down")
+
+        provider = TracerProvider()
+        provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(global_exporter), "langfuse_otel"))
+        provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(arize_exporter), "arize"))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: Exploding(InMemorySpanExporter()))
+        )
+
+        self._run(provider)
+
+        assert len(arize_exporter.get_finished_spans()) == 3, "an unrelated backend lost spans"
+        assert len(global_exporter.get_finished_spans()) == (3 if additive else 0)
+
+    def test_the_env_var_turns_additive_on_without_a_config_file(self, monkeypatch):
+        monkeypatch.setattr(litellm, "otel_tenant_destination_mode", None, raising=False)
+        monkeypatch.setenv("LITELLM_OTEL_TENANT_DESTINATION_MODE", "Additive")
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = wired_provider(dest_exporter, global_exporter)
+
+        self._run(provider)
+
+        assert len(global_exporter.get_finished_spans()) == 3
+        assert len(dest_exporter.get_finished_spans()) == 3
+
+    def test_an_unrecognized_mode_stays_on_override(self, monkeypatch):
+        monkeypatch.setattr(litellm, "otel_tenant_destination_mode", "both", raising=False)
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = wired_provider(dest_exporter, global_exporter)
+
+        self._run(provider)
+
+        assert global_exporter.get_finished_spans() == ()
+
+    def test_operator_sink_keys_skips_an_exporter_with_no_endpoint_of_its_own(self):
+        """Such an exporter resolves its endpoint from the environment at export
+        time, so it has no identity to compare a destination against."""
+        config = OpenTelemetryV2Config(
+            exporters=(
+                ExporterSpec(kind="otlp_http", endpoint=self.OPERATOR_SINK[0], headers="authorization=Basic op"),
+                ExporterSpec(kind="otlp_http", endpoint=None, headers="authorization=Basic other"),
+            )
+        )
+
+        assert operator_sink_keys(config) == frozenset({self.OPERATOR_SINK})
+
+    def test_operator_sink_keys_skips_exporters_that_never_reach_the_wire(self):
+        """A console kind ignores the endpoint and a header-gated spec with no
+        credentials is dropped when the provider is built, so treating either as an
+        account the operator writes to would silently withhold a team's own spans
+        under additive."""
+        config = OpenTelemetryV2Config(
+            exporters=(
+                ExporterSpec(kind="otlp_http", endpoint=self.OPERATOR_SINK[0], headers="authorization=Basic op"),
+                ExporterSpec(kind="console", endpoint="http://team.local/v1/traces"),
+                ExporterSpec(kind="otlp_http", endpoint="http://gated.local/v1/traces", requires_headers=True),
+            )
+        )
+
+        assert operator_sink_keys(config) == frozenset({self.OPERATOR_SINK})
+
+    def test_operator_sink_keys_spans_every_config_it_is_handed(self):
+        first = OpenTelemetryV2Config(
+            exporters=(
+                ExporterSpec(
+                    kind="otlp_http",
+                    endpoint=self.OPERATOR_SINK[0],
+                    headers="authorization=Basic op",
+                ),
+            )
+        )
+        second = OpenTelemetryV2Config(
+            exporters=(
+                ExporterSpec(
+                    kind="otlp_http",
+                    endpoint="https://otlp.arize.com/v1/traces",
+                    headers="space_id=s,api_key=k",
+                ),
+            )
+        )
+
+        assert operator_sink_keys(first, second) == {
+            self.OPERATOR_SINK,
+            _sink_key("https://otlp.arize.com/v1/traces", {"space_id": "s", "api_key": "k"}),
+        }
+
+    def test_a_team_pointing_at_a_credential_less_operator_exporter_still_gets_its_spans(self, monkeypatch):
+        """Under additive the fan-out skips a destination the operator already writes
+        to. An exporter the provider never built writes nothing, so skipping it would
+        cost the team every span."""
+        monkeypatch.setenv("LITELLM_OTEL_TENANT_DESTINATION_MODE", "additive")
+        gated_endpoint = "http://gated.local/v1/traces"
+        destination = OtelDestination(endpoint=gated_endpoint, callback_name="newrelic")
+        config = OpenTelemetryV2Config(
+            exporters=(ExporterSpec(kind="otlp_http", endpoint=gated_endpoint, requires_headers=True),)
+        )
+        dest_exporter = InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(
+                processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter),
+                operator_sinks=operator_sink_keys(config),
+            )
+        )
+
+        def run():
+            set_request_destinations((destination,))
+            emit(provider)
+
+        in_fresh_context(run)
+
+        assert [s.name for s in dest_exporter.get_finished_spans()] == ["chat gpt-4"]
+
+    def test_the_operators_own_langfuse_and_a_team_naming_it_are_one_account(self, monkeypatch):
+        """The two sides are built by different code that writes the endpoint and the
+        header names differently, so comparing them raw silently never matches."""
+        monkeypatch.setenv("LANGFUSE_HOST", "https://lf.internal")
+        monkeypatch.setenv("LANGFUSE_PUBLIC_KEY", "pk-op")
+        monkeypatch.setenv("LANGFUSE_SECRET_KEY", "sk-op")
+        monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["lf.internal"], raising=False)
+        operator = operator_sink_keys(langfuse_preset())
+
+        def sink(public_key, secret_key):
+            destination = destination_for(
+                "langfuse_otel",
+                StandardCallbackDynamicParams(
+                    langfuse_public_key=public_key,
+                    langfuse_secret_key=secret_key,
+                    langfuse_host="https://lf.internal",
+                ),
+            )
+            assert destination is not None
+            return _sink_key(destination.endpoint, destination.headers)
+
+        assert sink("pk-op", "sk-op") in operator, "a team naming the operator's own project"
+        assert sink("pk-team", "sk-team") not in operator, "a different project on the same server"
+
+    def test_two_accounts_holding_the_same_strings_in_different_roles_are_not_one(self):
+        """The values alone are not the identity. Two accounts can hold the same pair
+        of strings with the space id and the api key the other way round, and folding
+        them together would leave the second one's team with no trace at all."""
+        endpoint = "https://otlp.arize.com/v1"
+
+        assert _sink_key(endpoint, {"space_id": "a", "api_key": "b"}) != _sink_key(
+            endpoint, {"space_id": "b", "api_key": "a"}
+        )
+
+    def test_the_operators_own_arize_space_and_a_team_naming_it_are_one_account(self, monkeypatch):
+        """One account answers to two header names here: the operator's exporter sends
+        ``space_id`` and a team destination sends ``arize-space-id``. Keyed on the names,
+        additive would write the operator's own space twice for every request."""
+        monkeypatch.setenv("ARIZE_SPACE_ID", "space-op")
+        monkeypatch.setenv("ARIZE_API_KEY", "key-op")
+        monkeypatch.delenv("ARIZE_SPACE_KEY", raising=False)
+        operator = operator_sink_keys(arize_preset())
+
+        def sink(space, api_key):
+            destination = destination_for(
+                "arize",
+                StandardCallbackDynamicParams(arize_space_key=space, arize_api_key=api_key),
+            )
+            assert destination is not None
+            return _sink_key(destination.endpoint, destination.headers)
+
+        assert sink("space-op", "key-op") in operator, "a team naming the operator's own space"
+        assert sink("space-team", "key-team") not in operator, "a different Arize space"
+
+
+class TestFanOut:
+    def test_every_span_of_the_request_reaches_the_destination_in_one_trace(self):
+        """The whole tree, gen-AI span included, parented as the operator would see it."""
+        dest_exporter = InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+        )
+        tracer = get_tracer(provider, "litellm")
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            with tracer.start_as_current_span("POST /v1/chat/completions"):
+                with tracer.start_as_current_span("auth /v1/chat/completions"):
+                    pass
+                with tracer.start_as_current_span("chat gpt-4"):
+                    pass
+
+        in_fresh_context(run)
+
+        spans = dest_exporter.get_finished_spans()
+        by_name = {s.name: s for s in spans}
+        assert set(by_name) == {"POST /v1/chat/completions", "auth /v1/chat/completions", "chat gpt-4"}
+        root = by_name["POST /v1/chat/completions"]
+        assert len({s.context.trace_id for s in spans}) == 1, "the tenant must receive one connected trace"
+        for child in ("auth /v1/chat/completions", "chat gpt-4"):
+            assert by_name[child].parent.span_id == root.context.span_id
+
+    def test_a_team_naming_two_backends_gets_the_trace_at_both(self):
+        """The fan-out rides one provider, so it cannot skip a destination on the
+        grounds that some other backend owns it: nothing else would deliver it."""
+        langfuse, arize = InMemorySpanExporter(), InMemorySpanExporter()
+        by_endpoint = {"http://a.local": langfuse, "http://b.local": arize}
+        provider = TracerProvider()
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda d: SimpleSpanProcessor(by_endpoint[d.endpoint]))
+        )
+
+        def run():
+            set_request_destinations(
+                (
+                    OtelDestination(endpoint="http://a.local", callback_name="langfuse_otel"),
+                    OtelDestination(endpoint="http://b.local", callback_name="arize"),
+                )
+            )
+            emit(provider)
+
+        in_fresh_context(run)
+
+        assert [s.name for s in langfuse.get_finished_spans()] == ["chat gpt-4"]
+        assert [s.name for s in arize.get_finished_spans()] == ["chat gpt-4"]
+
+    def test_a_destination_carries_the_tenants_service_name(self):
+        """An overridden backend skips per-request tracer routing, so the service name
+        that route used to apply has to travel on the destination instead."""
+        dest = InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest)))
+
+        def run():
+            set_request_destinations(
+                (
+                    OtelDestination(
+                        endpoint="http://a.local",
+                        callback_name="langfuse_otel",
+                        resource_attributes={"service.name": "team-checkout"},
+                    ),
+                )
+            )
+            emit(provider)
+
+        in_fresh_context(run)
+
+        assert {s.resource.attributes["service.name"] for s in dest.get_finished_spans()} == {"team-checkout"}
+
+    def test_the_operators_database_endpoint_does_not_ride_along_to_the_tenant(self):
+        """A database span describes the proxy's own Postgres, so the tenant gets the
+        span and its timing without the host, the port, the schema or the error text
+        that names them. The operator's own copy keeps everything."""
+        dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(SimpleSpanProcessor(operator_exporter))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+        )
+        tracer = get_tracer(provider, "litellm")
+        unreachable = "Can't reach database server at db.internal.example:15400"
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            with tracer.start_as_current_span("postgres get_data") as db_span:
+                db_span.set_attributes(
+                    {
+                        "db.system.name": "postgresql",
+                        "db.system": "postgresql",
+                        "db.operation.name": "get_data",
+                        "server.address": "db.internal.example",
+                        "server.port": 15400,
+                        "db.namespace": "litellm",
+                        "error.type": "PrismaError",
+                        "error.message": unreachable,
+                        "error": unreachable,
+                        "litellm.provider.error.stack_trace": f"Traceback: {unreachable}",
+                    }
+                )
+                db_span.add_event("exception", {"exception.message": unreachable})
+                db_span.set_status(Status(StatusCode.ERROR, unreachable))
+            with tracer.start_as_current_span("chat claude-haiku") as llm_span:
+                llm_span.set_attribute("server.address", "api.anthropic.com")
+
+        in_fresh_context(run)
+
+        tenant = {s.name: s for s in dest_exporter.get_finished_spans()}
+        operator = {s.name: s for s in operator_exporter.get_finished_spans()}
+        assert set(tenant) == {"postgres get_data", "chat claude-haiku"}, "the tenant keeps the whole tree"
+        tenant_db = tenant["postgres get_data"]
+        assert dict(tenant_db.attributes) == {
+            "db.system.name": "postgresql",
+            "db.system": "postgresql",
+            "db.operation.name": "get_data",
+            "error.type": "PrismaError",
+        }
+        assert list(tenant_db.events) == []
+        assert tenant_db.status.status_code is StatusCode.ERROR, "the tenant still sees that the call failed"
+        assert tenant_db.status.description is None
+        assert "db.internal.example" not in tenant_db.to_json()
+        assert tenant["chat claude-haiku"].attributes["server.address"] == "api.anthropic.com", (
+            "only the operator's datastore is redacted, never the model endpoint"
+        )
+        operator_db = operator["postgres get_data"]
+        assert operator_db.attributes["server.address"] == "db.internal.example"
+        assert operator_db.attributes["server.port"] == 15400
+        assert operator_db.attributes["db.namespace"] == "litellm"
+        assert operator_db.attributes["error.message"] == unreachable
+        assert operator_db.attributes["error"] == unreachable
+        assert operator_db.status.description == unreachable
+        assert [event.name for event in operator_db.events] == ["exception"]
+
+    @pytest.mark.parametrize("failure_status", ["guardrail_failed_to_respond", "failure"])
+    def test_a_guardrails_failure_text_does_not_ride_along_to_the_tenant(self, failure_status):
+        dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(SimpleSpanProcessor(operator_exporter))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+        )
+        tracer = get_tracer(provider, "litellm")
+        unreachable = "Cannot connect to host guardrail.internal.example:9000"
+        verdict = '{"action": "block", "categories": ["pii"]}'
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            with tracer.start_as_current_span("POST /v1/chat/completions"):
+                with tracer.start_as_current_span("execute_guardrail pii") as down:
+                    down.set_attributes(
+                        {
+                            "litellm.guardrail.name": "pii",
+                            "litellm.guardrail.status": failure_status,
+                            "litellm.guardrail.response": unreachable,
+                        }
+                    )
+                with tracer.start_as_current_span("execute_guardrail toxicity") as up:
+                    up.set_attributes(
+                        {
+                            "litellm.guardrail.name": "toxicity",
+                            "litellm.guardrail.status": "guardrail_intervened",
+                            "litellm.guardrail.response": verdict,
+                        }
+                    )
+
+        in_fresh_context(run)
+
+        tenant = {s.name: s for s in dest_exporter.get_finished_spans()}
+        operator = {s.name: s for s in operator_exporter.get_finished_spans()}
+        assert dict(tenant["execute_guardrail pii"].attributes) == {
+            "litellm.guardrail.name": "pii",
+            "litellm.guardrail.status": failure_status,
+        }
+        assert "guardrail.internal.example" not in tenant["execute_guardrail pii"].to_json()
+        assert tenant["execute_guardrail toxicity"].attributes["litellm.guardrail.response"] == verdict
+        assert operator["execute_guardrail pii"].attributes["litellm.guardrail.response"] == unreachable
+
+    def test_the_callers_key_in_the_query_string_does_not_ride_along_to_the_tenant(self):
+        """A Google AI Studio style request authenticates with ``?key=<virtual key>``,
+        and the instrumentor stamps the full request URL on the server span. The
+        tenant keeps the URL up to the query string, and the operator's copy keeps it
+        whole."""
+        dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(SimpleSpanProcessor(operator_exporter))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+        )
+        tracer = get_tracer(provider, "litellm")
+        path = "/v1beta/models/gemini-2.5-flash:generateContent"
+        query = "key=sk-another-members-virtual-key&alt=sse"
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            with tracer.start_as_current_span(f"POST {path}") as server_span:
+                server_span.set_attributes(
+                    {
+                        "http.method": "POST",
+                        "http.route": path,
+                        "http.target": f"{path}?{query}",
+                        "http.url": f"http://proxy.example:4000{path}?{query}",
+                        "url.path": path,
+                        "url.query": query,
+                        "http.status_code": 200,
+                    }
+                )
+                with tracer.start_as_current_span("generate_content gemini-2.5-flash") as llm_span:
+                    llm_span.set_attributes(
+                        {
+                            "gen_ai.operation.name": "generate_content",
+                            "url.full": f"https://generativelanguage.googleapis.com{path}?key=AIza-operator-provider-key",
+                        }
+                    )
+
+        in_fresh_context(run)
+
+        tenant = {s.name: s for s in dest_exporter.get_finished_spans()}
+        assert dict(tenant[f"POST {path}"].attributes) == {
+            "http.method": "POST",
+            "http.route": path,
+            "http.target": path,
+            "http.url": f"http://proxy.example:4000{path}",
+            "url.path": path,
+            "http.status_code": 200,
+        }
+        assert "sk-another-members-virtual-key" not in tenant[f"POST {path}"].to_json()
+        assert tenant["generate_content gemini-2.5-flash"].attributes["url.full"] == (
+            f"https://generativelanguage.googleapis.com{path}"
+        ), "the tenant's own span keeps its error text, and still loses a query string"
+        operator = {s.name: s for s in operator_exporter.get_finished_spans()}
+        assert operator[f"POST {path}"].attributes["http.url"] == f"http://proxy.example:4000{path}?{query}"
+        assert operator[f"POST {path}"].attributes["url.query"] == query
+        assert "AIza-operator-provider-key" in operator["generate_content gemini-2.5-flash"].to_json()
+
+    def test_captured_request_headers_do_not_ride_along_to_the_tenant(self):
+        """With ``OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SERVER_REQUEST`` set, the
+        server span carries the caller's bearer token. A team admin's collector must
+        not receive it, while the operator's own copy keeps it and the tenant keeps the
+        rest of the span."""
+        dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(SimpleSpanProcessor(operator_exporter))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+        )
+        tracer = get_tracer(provider, "litellm")
+        bearer = "Bearer sk-another-members-virtual-key"
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            with tracer.start_as_current_span("POST /v1/chat/completions") as server_span:
+                server_span.set_attributes(
+                    {
+                        "http.request.method": "POST",
+                        "http.route": "/v1/chat/completions",
+                        "http.request.header.authorization": (bearer,),
+                        "http.request.header.x_litellm_api_key": (bearer,),
+                        "http.response.header.set_cookie": ("session=abc",),
+                    }
+                )
+                server_span.set_status(Status(StatusCode.ERROR))
+
+        in_fresh_context(run)
+
+        tenant = dest_exporter.get_finished_spans()[0]
+        assert dict(tenant.attributes) == {"http.request.method": "POST", "http.route": "/v1/chat/completions"}
+        assert bearer not in tenant.to_json()
+        assert tenant.status.status_code is StatusCode.ERROR
+        operator = operator_exporter.get_finished_spans()[0]
+        assert operator.attributes["http.request.header.authorization"] == (bearer,)
+        assert operator.attributes["http.response.header.set_cookie"] == ("session=abc",)
+
+    def test_the_proxys_own_error_text_does_not_ride_along_to_the_tenant(self):
+        """Postgres failing during auth surfaces as a ``ProxyException`` whose message
+        quotes the Prisma error, so the auth span and the request root carry the
+        operator's database endpoint in ``error.message``, in the exception event and
+        in the status description. None of it is the tenant's, so it all comes off,
+        while the failure itself (its type, its code, its status) stays. The tenant's
+        own model call keeps its error text, less the stack trace that walks the
+        operator's install. The operator's copy keeps everything."""
+        dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(SimpleSpanProcessor(operator_exporter))
+        provider.add_span_processor(
+            TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter))
+        )
+        tracer = get_tracer(provider, "litellm")
+        unreachable = "Authentication Error, Can't reach database server at db.internal.example:15400"
+        install = "/srv/litellm/.venv/lib/python3.13/site-packages/opentelemetry/trace/__init__.py"
+        provider_error = "AnthropicException - invalid x-api-key"
+
+        def fail(span, message: str) -> None:
+            span.set_attributes(
+                {
+                    "error.type": "ProxyException",
+                    "error.message": message,
+                    "litellm.provider.error.code": "500",
+                    "litellm.provider.error.stack_trace": f"Traceback\n  File {install}\n{message}",
+                }
+            )
+            span.add_event(
+                "exception",
+                {"exception.type": "ProxyException", "exception.message": message, "exception.stacktrace": install},
+            )
+            span.set_status(Status(StatusCode.ERROR, message))
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            with tracer.start_as_current_span("POST /v1/chat/completions") as root:
+                with tracer.start_as_current_span("auth /v1/chat/completions") as auth:
+                    fail(auth, unreachable)
+                with tracer.start_as_current_span("chat claude-haiku") as llm:
+                    llm.set_attribute("gen_ai.operation.name", "chat")
+                    fail(llm, provider_error)
+                fail(root, unreachable)
+
+        in_fresh_context(run)
+
+        tenant = {s.name: s for s in dest_exporter.get_finished_spans()}
+        operator = {s.name: s for s in operator_exporter.get_finished_spans()}
+        assert set(tenant) == {"POST /v1/chat/completions", "auth /v1/chat/completions", "chat claude-haiku"}
+        for name in ("POST /v1/chat/completions", "auth /v1/chat/completions"):
+            proxy_span = tenant[name]
+            assert dict(proxy_span.attributes) == {"error.type": "ProxyException", "litellm.provider.error.code": "500"}
+            assert list(proxy_span.events) == []
+            assert proxy_span.status.status_code is StatusCode.ERROR
+            assert proxy_span.status.description is None
+            assert "db.internal.example" not in proxy_span.to_json()
+            assert install not in proxy_span.to_json()
+        llm_span = tenant["chat claude-haiku"]
+        assert llm_span.attributes["error.message"] == provider_error, "the tenant's own call keeps its error text"
+        assert "litellm.provider.error.stack_trace" not in llm_span.attributes
+        assert llm_span.status.description == provider_error
+        assert [dict(event.attributes) for event in llm_span.events] == [
+            {"exception.type": "ProxyException", "exception.message": provider_error}
+        ]
+        assert install not in llm_span.to_json()
+        for name, message in (("auth /v1/chat/completions", unreachable), ("chat claude-haiku", provider_error)):
+            assert operator[name].attributes["error.message"] == message
+            assert install in operator[name].attributes["litellm.provider.error.stack_trace"]
+            assert operator[name].events[0].attributes["exception.stacktrace"] == install
+            assert operator[name].status.description == message
+
+    def test_a_tenants_service_name_is_layered_onto_the_operators_resource(self):
+        """The destination's ``service.name`` replaces the operator's on the tenant's
+        copy and every other resource attribute travels unchanged. Nothing is detected
+        afresh per span, so no attribute the operator did not configure appears."""
+        dest = InMemorySpanExporter()
+        provider = TracerProvider(
+            resource=Resource({"service.name": "litellm-proxy", "deployment.environment.name": "prod"})
+        )
+        provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest)))
+
+        def run():
+            set_request_destinations(
+                (
+                    OtelDestination(
+                        endpoint="http://a.local",
+                        callback_name="langfuse_otel",
+                        resource_attributes={"service.name": "team-checkout"},
+                    ),
+                )
+            )
+            emit(provider)
+
+        in_fresh_context(run)
+
+        (span,) = dest.get_finished_spans()
+        assert dict(span.resource.attributes) == {
+            "service.name": "team-checkout",
+            "deployment.environment.name": "prod",
+        }
+
+    def test_a_destination_that_cannot_build_a_processor_is_skipped_quietly(self):
+        """An unbuildable destination must not cost the caller its request."""
+        attempts = []
+        reached_the_end = []
+
+        def factory(destination):
+            attempts.append(destination.endpoint)
+
+        provider = TracerProvider()
+        provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=factory))
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            emit(provider)
+            reached_the_end.append(True)
+
+        in_fresh_context(run)
+
+        assert attempts == [LANGFUSE_DEST.endpoint]
+        assert reached_the_end == [True]
+
+    def test_an_unbuildable_destination_leaves_the_span_with_the_operator(self):
+        """Anchoring the destination is what makes the operator's exporter stand down
+        for the backend, so a destination nothing can deliver to must never be anchored,
+        or the span reaches neither account."""
+        global_exporter = InMemorySpanExporter()
+        provider = TracerProvider()
+        provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(global_exporter), "langfuse_otel"))
+        provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=lambda _d: None))
+
+        def run():
+            set_request_destinations(deliverable_destinations((LANGFUSE_DEST,), provider))
+            emit(provider)
+            return request_destinations()
+
+        anchored = in_fresh_context(run)
+
+        assert anchored == ()
+        assert [s.name for s in global_exporter.get_finished_spans()] == ["chat gpt-4"]
+
+    def test_a_buildable_destination_is_still_anchored_and_still_overrides(self):
+        global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter()
+        provider = wired_provider(dest_exporter, global_exporter)
+
+        def run():
+            set_request_destinations(deliverable_destinations((LANGFUSE_DEST,), provider))
+            emit(provider)
+            return request_destinations()
+
+        anchored = in_fresh_context(run)
+
+        assert anchored == (LANGFUSE_DEST,)
+        assert global_exporter.get_finished_spans() == ()
+        assert [s.name for s in dest_exporter.get_finished_spans()] == ["chat gpt-4"]
+
+    def test_only_the_unbuildable_destination_is_dropped_from_a_mixed_set(self):
+        dest_exporter = InMemorySpanExporter()
+        other = LANGFUSE_DEST.model_copy(update={"endpoint": "http://broken.local/otel"})
+        fan_out = TenantFanOutSpanProcessor(
+            processor_factory=lambda d: None if d.endpoint == other.endpoint else SimpleSpanProcessor(dest_exporter)
+        )
+
+        assert fan_out.deliverable((other, LANGFUSE_DEST)) == (LANGFUSE_DEST,)
+
+    def test_no_fan_out_means_nothing_is_anchored(self):
+        """With nothing to carry the spans to the tenant, anchoring would only stop the
+        operator's exporter from writing them."""
+        provider = TracerProvider()
+
+        assert deliverable_destinations((LANGFUSE_DEST,), provider) == ()
+
+    def test_a_protocol_with_no_otlp_transport_is_not_deliverable(self):
+        """An unknown exporter kind falls back to the console exporter, which ignores the
+        tenant's credentials and prints its spans to the proxy's stdout. Treating that as
+        deliverable would stand the operator's exporter down for spans nobody stores."""
+        typo = LANGFUSE_DEST.model_copy(update={"protocol": "consle"})
+        fan_out = TenantFanOutSpanProcessor()
+        try:
+            assert fan_out.deliverable((typo, LANGFUSE_DEST)) == (LANGFUSE_DEST,)
+        finally:
+            fan_out.shutdown()
+
+    def test_a_closed_fan_out_anchors_nothing(self):
+        fan_out = TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(InMemorySpanExporter()))
+        provider = TracerProvider()
+        provider.add_span_processor(fan_out)
+        fan_out.shutdown()
+
+        assert deliverable_destinations((LANGFUSE_DEST,), provider) == ()
+
+    def test_the_processor_built_to_check_deliverability_is_the_one_that_exports(self):
+        built = []
+
+        def factory(_destination):
+            built.append(SimpleSpanProcessor(InMemorySpanExporter()))
+            return built[-1]
+
+        provider = TracerProvider()
+        provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=factory))
+
+        def run():
+            set_request_destinations(deliverable_destinations((LANGFUSE_DEST,), provider))
+            emit(provider)
+
+        in_fresh_context(run)
+
+        assert len(built) == 1
+
+    def test_one_processor_is_reused_across_spans_of_the_same_destination(self):
+        built = []
+
+        def factory(_destination):
+            processor = SimpleSpanProcessor(InMemorySpanExporter())
+            built.append(processor)
+            return processor
+
+        provider = TracerProvider()
+        provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=factory))
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            emit(provider, "one")
+            emit(provider, "two")
+
+        in_fresh_context(run)
+
+        assert len(built) == 1
+
+
+class TestProviderWiring:
+    def test_build_tracer_provider_only_filters_when_asked(self):
+        config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)])
+        operator = build_tracer_provider(config, tenant_overrides=True)
+        tenant = build_tracer_provider(config)
+
+        def kinds(provider):
+            return [type(p).__name__ for p in provider._active_span_processor._span_processors]
+
+        assert "_OverriddenBackendFilter" in kinds(operator)
+        assert "_OverriddenBackendFilter" not in kinds(tenant), "a per-tenant provider must not filter itself out"
+        assert "TenantFanOutSpanProcessor" not in kinds(operator), "delivery belongs to the published global alone"
+        assert "TenantFanOutSpanProcessor" not in kinds(tenant)
+
+    def test_only_the_published_global_provider_delivers_to_tenants(self):
+        """A second v2 logger's provider never sees the server, auth or database spans,
+        so fanning out from it would hand the tenant a one-span trace. Publishing is
+        what picks the one provider the whole request tree passes through."""
+        config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.ARIZE_AX)])
+        published, other = OpenTelemetryV2(config=config, callback_name="arize"), OpenTelemetryV2(config=config)
+
+        publish_global_otel_v2_provider([other], lambda _p: None, registered=published)
+
+        def kinds(logger):
+            return [type(p).__name__ for p in logger._tracer_provider._active_span_processor._span_processors]
+
+        assert kinds(published).count("TenantFanOutSpanProcessor") == 1
+        assert "TenantFanOutSpanProcessor" not in kinds(other)
+
+    @pytest.mark.parametrize("canonical", ["langfuse_otel", "arize"])
+    def test_publishing_tells_the_fan_out_about_every_v2_loggers_account(self, monkeypatch, canonical):
+        monkeypatch.setenv("LITELLM_OTEL_TENANT_DESTINATION_MODE", "additive")
+        shared = InMemorySpanExporter()
+        monkeypatch.setattr(otel_providers, "_destination_processor", lambda _d: SimpleSpanProcessor(shared))
+        accounts = {
+            "langfuse_otel": (
+                "https://cloud.langfuse.com/api/public/otel/v1/traces",
+                "authorization=Basic op",
+            ),
+            "arize": (
+                "https://otlp.arize.com/v1/traces",
+                "space_id=space-op,api_key=key-op",
+            ),
+        }
+        loggers = {
+            name: OpenTelemetryV2(
+                config=OpenTelemetryV2Config(
+                    exporters=(ExporterSpec(kind="otlp_http", endpoint=endpoint, headers=headers),)
+                ),
+                callback_name=name,
+                tracer_provider=TracerProvider(),
+            )
+            for name, (endpoint, headers) in accounts.items()
+        }
+        other = "arize" if canonical == "langfuse_otel" else "langfuse_otel"
+        published = publish_global_otel_v2_provider(
+            [loggers[other]],
+            lambda _p: None,
+            registered=loggers[canonical],
+        )
+
+        def destination(name, headers):
+            return OtelDestination(endpoint=accounts[name][0], headers=headers, callback_name=name)
+
+        def run(destinations):
+            set_request_destinations(destinations)
+            emit(published.tracer_provider)
+
+        in_fresh_context(run, (destination(canonical, dict(pair.split("=") for pair in accounts[canonical][1].split(","))),))
+        in_fresh_context(run, (destination(other, dict(pair.split("=") for pair in accounts[other][1].split(","))),))
+        assert shared.get_finished_spans() == (), "an account the operator already writes to was written twice"
+
+        in_fresh_context(run, (destination(other, {"authorization": "Basic team"}),))
+        assert [s.name for s in shared.get_finished_spans()] == ["chat gpt-4"]
+
+    def test_publishing_twice_does_not_double_export(self):
+        config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.ARIZE_AX)])
+        logger = OpenTelemetryV2(config=config, callback_name="arize")
+
+        publish_global_otel_v2_provider([], lambda _p: None, registered=logger)
+        publish_global_otel_v2_provider([], lambda _p: None, registered=logger)
+
+        kinds = [type(p).__name__ for p in logger._tracer_provider._active_span_processor._span_processors]
+        assert kinds.count("TenantFanOutSpanProcessor") == 1
+
+    def test_anchoring_reads_the_fan_out_off_the_published_provider_not_the_otel_global(self, monkeypatch):
+        """``set_tracer_provider`` keeps the first provider it was handed. When
+        auto-instrumentation or a legacy logger claimed it before the proxy published,
+        the OTel global carries no fan-out, so reading it there would refuse every
+        destination the published provider delivers."""
+        from litellm.proxy import proxy_server
+
+        config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)])
+        logger = OpenTelemetryV2(config=config, callback_name="langfuse_otel")
+        publish_global_otel_v2_provider([], lambda _p: None, registered=logger)
+        monkeypatch.setattr(proxy_server, "open_telemetry_logger", logger)
+        claimed_first = TracerProvider()
+
+        assert fan_out_provider() is logger.tracer_provider
+        assert deliverable_destinations((LANGFUSE_DEST,), claimed_first) == ()
+        assert deliverable_destinations((LANGFUSE_DEST,), fan_out_provider()) == (LANGFUSE_DEST,)
+
+    def test_a_legacy_v1_logger_holding_the_registered_slot_does_not_hide_the_fan_out(self, monkeypatch):
+        """The proxy publishes with ``registered=None`` when ``open_telemetry_logger``
+        holds a v1 logger, so the fan-out lands on a v2 logger taken from
+        ``_in_memory_loggers``. Reading the registered slot finds no v2 logger there and
+        the OTel global belongs to v1, so both detours refuse every destination the
+        published provider delivers."""
+        from litellm.integrations.opentelemetry import OpenTelemetry
+        from litellm.proxy import proxy_server
+
+        config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)])
+        v2 = OpenTelemetryV2(config=config, callback_name="langfuse_otel")
+        publish_global_otel_v2_provider([v2], lambda _p: None, registered=None)
+        monkeypatch.setattr(proxy_server, "open_telemetry_logger", OpenTelemetry())
+
+        assert fan_out_provider() is v2.tracer_provider
+        assert deliverable_destinations((LANGFUSE_DEST,), fan_out_provider()) == (LANGFUSE_DEST,)
+
+    def test_without_a_publish_anchoring_attaches_fan_out_to_registered_v2_logger(self, monkeypatch):
+        from litellm.proxy import proxy_server
+
+        config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)])
+        logger = OpenTelemetryV2(config=config, callback_name="langfuse_otel")
+        monkeypatch.setattr(proxy_server, "open_telemetry_logger", logger)
+
+        assert fan_out_provider() is logger.tracer_provider
+        assert deliverable_destinations((LANGFUSE_DEST,), fan_out_provider()) == (LANGFUSE_DEST,)
+
+    def test_concurrent_anchoring_attaches_exactly_one_fan_out(self):
+        """Requests race to anchor when the startup publish never ran, and a fan-out
+        attached twice delivers every tenant span twice."""
+        import threading
+
+        from litellm.integrations.otel.plumbing.providers import attach_tenant_fan_out
+
+        class SlowAttachProvider(TracerProvider):
+            def add_span_processor(self, span_processor):
+                time.sleep(0.05)
+                super().add_span_processor(span_processor)
+
+        provider = SlowAttachProvider()
+        config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)])
+        barrier = threading.Barrier(8)
+
+        def anchor():
+            barrier.wait(timeout=10)
+            attach_tenant_fan_out(provider, config)
+
+        threads = [threading.Thread(target=anchor) for _ in range(8)]
+        for thread in threads:
+            thread.start()
+        for thread in threads:
+            thread.join(timeout=10)
+
+        kinds = [type(p).__name__ for p in provider._active_span_processor._span_processors]
+        assert kinds.count("TenantFanOutSpanProcessor") == 1, f"one fan-out per provider, got {kinds}"
+
+    def test_without_a_publish_anchoring_falls_back_to_the_otel_global(self, monkeypatch):
+        from opentelemetry import trace
+
+        from litellm.proxy import proxy_server
+
+        monkeypatch.setattr(proxy_server, "open_telemetry_logger", None)
+
+        assert fan_out_provider() is trace.get_tracer_provider()
+
+    def test_auth_seeds_the_request_with_destinations_the_registered_logger_can_deliver(
+        self, monkeypatch, allow_test_hosts
+    ):
+        from litellm.proxy import proxy_server
+        from litellm.proxy.auth.user_api_key_auth import _seed_request_destinations
+
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        is_otel_v2_enabled.cache_clear()
+        config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)])
+        logger = OpenTelemetryV2(config=config, callback_name="langfuse_otel")
+        publish_global_otel_v2_provider([], lambda _p: None, registered=logger)
+        monkeypatch.setattr(proxy_server, "open_telemetry_logger", logger)
+        auth = UserAPIKeyAuth(
+            team_metadata={
+                "logging": [
+                    {
+                        "callback_name": "langfuse_otel",
+                        "callback_type": "success",
+                        "callback_vars": {
+                            "langfuse_public_key": "pk-team",
+                            "langfuse_secret_key": "sk-team",
+                            "langfuse_host": "http://team.local",
+                        },
+                    }
+                ]
+            }
+        )
+        expected = resolve_tenant_otel_destinations(auth)
+        assert expected, "the fixture must resolve to a destination for the test to mean anything"
+
+        def run():
+            _seed_request_destinations(auth)
+            return request_destinations()
+
+        assert deliverable_destinations(expected, TracerProvider()) == ()
+        assert in_fresh_context(run) == expected
+
+
+class TestRouting:
+    def test_an_overridden_backend_is_not_detached_onto_a_second_provider(self):
+        config = OpenTelemetryV2Config(
+            exporters=[ExporterSpec(kind="otlp_http", endpoint="http://op.local", owner=ExporterOwner.LANGFUSE_OTEL)]
+        )
+        cache = TenantTracerCache(config, "langfuse_otel", "litellm")
+        default = get_tracer(TracerProvider(), "litellm")
+        params = {"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}
+
+        assert cache.route_for(default, params).detached is True
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            return cache.route_for(default, params)
+
+        route = in_fresh_context(run)
+        assert route.detached is False
+        assert route.tracer is default
+        assert route.provider is None
+
+    def test_an_overridden_backend_does_not_detach_on_a_service_name_either(self):
+        """A key or team service name is its own reason to build a second provider, so
+        clearing only the credentials would still take the model call out of the tree."""
+        config = OpenTelemetryV2Config(
+            exporters=[ExporterSpec(kind="otlp_http", endpoint="http://op.local", owner=ExporterOwner.LANGFUSE_OTEL)]
+        )
+        cache = TenantTracerCache(config, "langfuse_otel", "litellm")
+        default = get_tracer(TracerProvider(), "litellm")
+        auth_metadata = {"otel_service_name": "team-checkout"}
+
+        assert cache.route_for(default, None, auth_metadata).detached is False
+        assert cache.route_for(default, None, auth_metadata).tracer is not default
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            return cache.route_for(default, None, auth_metadata)
+
+        route = in_fresh_context(run)
+        assert route.tracer is default, "the fan-out carries the service name on the destination instead"
+        assert route.provider is None
+
+    @pytest.mark.parametrize("callback_name", ["arize", None])
+    def test_a_service_name_does_not_detach_a_backend_the_destination_does_not_name(self, callback_name):
+        """The fan-out only sees spans on the published provider, so relabelling this
+        logger's span onto a second provider would drop the model call out of the
+        trace another backend's destination receives."""
+        config = OpenTelemetryV2Config(
+            exporters=[ExporterSpec(kind="otlp_http", endpoint="http://op.local", owner=ExporterOwner.ARIZE_AX)]
+        )
+        cache = TenantTracerCache(config, callback_name, "litellm")
+        default = get_tracer(TracerProvider(), "litellm")
+        auth_metadata = {"otel_service_name": "team-checkout"}
+
+        relabelled = cache.route_for(default, None, auth_metadata)
+        assert relabelled.tracer is not default
+        cache.release(relabelled.provider)
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            return cache.route_for(default, None, auth_metadata)
+
+        route = in_fresh_context(run)
+        assert route.tracer is default
+        assert route.detached is False
+        assert route.provider is None
+
+    @pytest.mark.parametrize(
+        ("owner", "params", "auth_metadata"),
+        [
+            (ExporterOwner.ARIZE_AX, {"arize_space_key": "space", "arize_api_key": "key"}, {}),
+            (ExporterOwner.ARIZE_PHOENIX, None, {"phoenix_project_name": "team-project"}),
+        ],
+    )
+    def test_a_backend_pointed_at_its_own_account_still_routes_next_to_another_backend_destination(
+        self, owner, params, auth_metadata
+    ):
+        """Credentials or a project name the tenant's own account for this backend, which
+        the other backend's destination cannot stand in for."""
+        config = OpenTelemetryV2Config(
+            exporters=[ExporterSpec(kind="otlp_http", endpoint="http://op.local", owner=owner)]
+        )
+        cache = TenantTracerCache(config, owner.value, "litellm")
+        default = get_tracer(TracerProvider(), "litellm")
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            return cache.route_for(default, params, {"otel_service_name": "team-checkout", **auth_metadata})
+
+        route = in_fresh_context(run)
+        assert route.tracer is not default
+        assert route.detached is True
+        cache.release(route.provider)
+
+
+@pytest.mark.usefixtures("allow_test_hosts")
+class TestDestinationResolution:
+    def test_a_langfuse_key_pair_and_host_become_a_destination(self, monkeypatch):
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        is_otel_v2_enabled.cache_clear()
+        auth = UserAPIKeyAuth(
+            team_metadata={
+                "logging": [
+                    {
+                        "callback_name": "langfuse_otel",
+                        "callback_type": "success",
+                        "callback_vars": {
+                            "langfuse_public_key": "pk-team",
+                            "langfuse_secret_key": "sk-team",
+                            "langfuse_host": "http://team.local",
+                        },
+                    }
+                ]
+            }
+        )
+
+        destinations = resolve_tenant_otel_destinations(auth)
+
+        assert [d.endpoint for d in destinations] == ["http://team.local/api/public/otel"]
+        assert destinations[0].callback_name == "langfuse_otel"
+
+    def test_a_keys_service_name_outranks_its_teams_on_the_destination(self, monkeypatch):
+        """The key/team ``otel_service_name`` used to reach the backend through
+        per-request tracer routing, which an overridden backend skips."""
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        is_otel_v2_enabled.cache_clear()
+        auth = UserAPIKeyAuth(
+            metadata={"otel_service_name": "key-svc"},
+            team_metadata={
+                "otel_service_name": "team-svc",
+                "logging": [
+                    {
+                        "callback_name": "langfuse_otel",
+                        "callback_type": "success",
+                        "callback_vars": {
+                            "langfuse_public_key": "pk-team",
+                            "langfuse_secret_key": "sk-team",
+                            "langfuse_host": "http://team.local",
+                        },
+                    }
+                ],
+            },
+        )
+
+        destinations = resolve_tenant_otel_destinations(auth)
+
+        assert dict(destinations[0].resource_attributes) == {"service.name": "key-svc"}
+
+    def test_a_team_that_named_no_service_name_gets_no_resource_override(self, monkeypatch):
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        is_otel_v2_enabled.cache_clear()
+        auth = UserAPIKeyAuth(
+            team_metadata={
+                "otel_service_name": "   ",
+                "logging": [
+                    {
+                        "callback_name": "langfuse_otel",
+                        "callback_type": "success",
+                        "callback_vars": {
+                            "langfuse_public_key": "pk-team",
+                            "langfuse_secret_key": "sk-team",
+                            "langfuse_host": "http://team.local",
+                        },
+                    }
+                ],
+            }
+        )
+
+        destinations = resolve_tenant_otel_destinations(auth)
+
+        assert dict(destinations[0].resource_attributes) == {}
+
+    def test_the_key_wins_over_the_team_for_the_same_backend(self, monkeypatch):
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        is_otel_v2_enabled.cache_clear()
+
+        def entry(host: str) -> Mapping[str, object]:
+            return {
+                "callback_name": "langfuse_otel",
+                "callback_type": "success",
+                "callback_vars": {
+                    "langfuse_public_key": "pk",
+                    "langfuse_secret_key": "sk",
+                    "langfuse_host": host,
+                },
+            }
+
+        auth = UserAPIKeyAuth(
+            metadata={"logging": [entry("http://key.local")]},
+            team_metadata={"logging": [entry("http://team.local")]},
+        )
+
+        assert [d.endpoint for d in resolve_tenant_otel_destinations(auth)] == ["http://key.local/api/public/otel"]
+
+    def test_nothing_resolves_while_otel_v2_is_off(self, monkeypatch):
+        monkeypatch.delenv("LITELLM_OTEL_V2", raising=False)
+        is_otel_v2_enabled.cache_clear()
+        auth = UserAPIKeyAuth(
+            team_metadata={
+                "logging": [
+                    {
+                        "callback_name": "langfuse_otel",
+                        "callback_type": "success",
+                        "callback_vars": {"langfuse_public_key": "pk", "langfuse_secret_key": "sk"},
+                    }
+                ]
+            }
+        )
+
+        assert resolve_tenant_otel_destinations(auth) == ()
+
+    def test_a_host_without_its_key_pair_resolves_to_nothing(self):
+        assert destination_for("langfuse_otel", {"langfuse_host": "http://team.local"}) is None
+
+    def test_a_backend_with_no_dynamic_credentials_has_no_destination(self):
+        assert "arize_phoenix" not in destination_capable_backends()
+        assert destination_for("arize_phoenix", {"arize_api_key": "k"}) is None
+
+    def test_the_destination_header_string_survives_the_exporter_round_trip(self):
+        from litellm.integrations.otel.plumbing.providers import parse_headers
+
+        destination = destination_for(
+            "langfuse_otel",
+            {"langfuse_public_key": "pk", "langfuse_secret_key": "sk", "langfuse_host": "http://x"},
+        )
+        assert parse_headers(destination.header_string())["authorization"] == destination.headers["Authorization"]
+
+
+#: Anything that makes ``OpenTelemetryV2Config`` synthesize a real operator destination.
+_OTEL_SHORTHAND_ENV = (
+    "OTEL_ENDPOINT",
+    "OTEL_HEADERS",
+    "OTEL_EXPORTER",
+    "OTEL_EXPORTER_OTLP_ENDPOINT",
+    "OTEL_EXPORTER_OTLP_HEADERS",
+    "OTEL_EXPORTER_OTLP_PROTOCOL",
+)
+
+
+def credential_less_proxy(monkeypatch) -> None:
+    """An operator with no Langfuse account and no generic OTLP collector."""
+    for name in ("LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY", *_OTEL_SHORTHAND_ENV):
+        monkeypatch.delenv(name, raising=False)
+    with pytest.raises(ValueError, match="LANGFUSE_PUBLIC_KEY"):
+        langfuse_preset()
+
+
+class TestPresetDegradation:
+    def test_a_credential_less_langfuse_exports_nowhere_instead_of_to_the_console(self, monkeypatch, capfd):
+        """``_normalize`` folds a console exporter in for an empty list, which would
+        print every span on a proxy whose teams bring their own credentials."""
+        credential_less_proxy(monkeypatch)
+
+        config = langfuse_preset(allow_missing_credentials=True)
+        provider = build_tracer_provider(config, tenant_overrides=True)
+        capfd.readouterr()
+        in_fresh_context(emit, provider)
+        provider.force_flush()
+
+        assert '"name": "chat gpt-4"' not in capfd.readouterr().out
+        assert "langfuse" in config.mapper_names
+
+    def test_langfuse_still_raises_for_a_global_callback_with_no_credentials(self, monkeypatch):
+        monkeypatch.delenv("LANGFUSE_PUBLIC_KEY", raising=False)
+        monkeypatch.delenv("LANGFUSE_SECRET_KEY", raising=False)
+
+        with pytest.raises(ValueError, match="LANGFUSE_PUBLIC_KEY"):
+            langfuse_preset()
+
+    def test_a_credential_less_proxy_builds_the_gated_logger_beside_a_v2_carrier(self, monkeypatch):
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        credential_less_proxy(monkeypatch)
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        carrier = build_otel_v2_logger(OpenTelemetryV2Config(exporter="in_memory"))
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            return _maybe_construct_otel_v2("langfuse_otel", [carrier])
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(run)
+        is_otel_v2_enabled.cache_clear()
+
+        assert logger is not None
+        assert all(spec.requires_headers and not spec.headers for spec in logger.config.exporters)
+
+    def test_a_credential_less_proxy_with_no_destinations_falls_back_to_the_legacy_path(self, monkeypatch):
+        """Nothing can use a credential-less langfuse here, so the operator has to get
+        the same story as before v2: the legacy integration, not a global provider
+        that exports nowhere."""
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        credential_less_proxy(monkeypatch)
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", [])
+        is_otel_v2_enabled.cache_clear()
+
+        assert logger is None
+
+    def test_a_valid_newrelic_base_exporter_survives_without_a_license_key(self, monkeypatch):
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        monkeypatch.delenv("NEW_RELIC_LICENSE_KEY", raising=False)
+        monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://collector.local:4318")
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(_maybe_construct_otel_v2, "newrelic", [])
+        is_otel_v2_enabled.cache_clear()
+
+        assert logger is not None
+        assert [spec.endpoint for spec in logger.config.exporters] == [
+            "http://collector.local:4318",
+            "https://otlp.nr-data.net",
+        ]
+
+    def test_a_credentialless_newrelic_without_a_base_exporter_falls_back(self, monkeypatch):
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        monkeypatch.delenv("NEW_RELIC_LICENSE_KEY", raising=False)
+        for name in _OTEL_SHORTHAND_ENV:
+            monkeypatch.delenv(name, raising=False)
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(_maybe_construct_otel_v2, "newrelic", [])
+        is_otel_v2_enabled.cache_clear()
+
+        assert logger is None
+
+    def test_an_explicit_console_exporter_keeps_a_credentialless_preset_on_v2(self, monkeypatch, capfd):
+        """``OTEL_EXPORTER=console`` reads exactly like the placeholder ``_normalize``
+        folds in, but the operator asked for it, so a credential-less New Relic keeps
+        the V2 logger and its spans reach stdout instead of the legacy path."""
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        monkeypatch.delenv("NEW_RELIC_LICENSE_KEY", raising=False)
+        for name in _OTEL_SHORTHAND_ENV:
+            monkeypatch.delenv(name, raising=False)
+        monkeypatch.setenv("OTEL_EXPORTER", "console")
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(_maybe_construct_otel_v2, "newrelic", [])
+        is_otel_v2_enabled.cache_clear()
+
+        assert logger is not None
+        assert logger.config.exporters[0].kind == "console"
+        assert not logger.config.exporters[0].requires_headers
+
+    def test_a_destination_for_one_backend_does_not_degrade_another(self, monkeypatch):
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        credential_less_proxy(monkeypatch)
+        monkeypatch.delenv("WANDB_API_KEY", raising=False)
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            return _maybe_construct_otel_v2("weave_otel", [])
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(run)
+        is_otel_v2_enabled.cache_clear()
+
+        assert logger is None
+
+    def test_the_exporter_less_logger_is_not_reused_by_a_request_without_destinations(self, monkeypatch):
+        """Reusing it would let one team's destination decide how every later request
+        without one is logged, long after the degrade was justified."""
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        credential_less_proxy(monkeypatch)
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        loggers = [build_otel_v2_logger(OpenTelemetryV2Config(exporter="in_memory"))]
+
+        def with_destination():
+            set_request_destinations((LANGFUSE_DEST,))
+            return _maybe_construct_otel_v2("langfuse_otel", loggers)
+
+        is_otel_v2_enabled.cache_clear()
+        degraded = in_fresh_context(with_destination)
+        plain = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", loggers)
+        is_otel_v2_enabled.cache_clear()
+
+        assert degraded is not None
+        assert plain is None
+
+    def test_a_credentialed_logger_is_still_reused_across_requests(self, monkeypatch):
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        monkeypatch.setenv("LANGFUSE_PUBLIC_KEY", "pk-lf-1")
+        monkeypatch.setenv("LANGFUSE_SECRET_KEY", "sk-lf-1")
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        loggers = []
+
+        is_otel_v2_enabled.cache_clear()
+        first = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", loggers)
+        second = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", loggers)
+        is_otel_v2_enabled.cache_clear()
+
+        assert first is not None
+        assert second is first
+
+    @staticmethod
+    def _degraded_langfuse_beside(loggers, monkeypatch):
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        credential_less_proxy(monkeypatch)
+        monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://collector.local:4318")
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            return _maybe_construct_otel_v2("langfuse_otel", loggers)
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(run)
+        is_otel_v2_enabled.cache_clear()
+        assert logger is not None
+        return logger
+
+    def test_a_degraded_logger_beside_another_v2_logger_leaves_the_collector_to_it(self, monkeypatch):
+        """The other logger's provider already exports every span to the operator's
+        collector, so a second model span from this one would land there twice."""
+        collector_logger = build_otel_v2_logger(OpenTelemetryV2Config(exporter="in_memory"))
+
+        logger = self._degraded_langfuse_beside([collector_logger], monkeypatch)
+
+        assert [spec.endpoint for spec in logger.config.exporters] == [None]
+        assert all(spec.requires_headers and not spec.headers for spec in logger.config.exporters)
+
+    @pytest.mark.parametrize("registered", [(), (CustomLogger(),)])
+    def test_a_credential_less_proxy_with_a_destination_but_no_v2_carrier_falls_back(self, monkeypatch, registered):
+        """Only a V2 logger publishes the provider the fan-out rides on, so a legacy
+        callback beside this one leaves the destination just as unreachable as no
+        callback at all, and the operator keeps the pre-V2 story."""
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        credential_less_proxy(monkeypatch)
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+
+        def run():
+            set_request_destinations((LANGFUSE_DEST,))
+            return _maybe_construct_otel_v2("langfuse_otel", list(registered))
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(run)
+        is_otel_v2_enabled.cache_clear()
+
+        assert logger is None
+
+    def test_a_credentialed_logger_beside_another_v2_logger_keeps_every_exporter(self, monkeypatch):
+        """Only a degraded preset gives the collector up; an operator who configured
+        both the backend and the collector still exports to both, as on base."""
+        from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2
+
+        monkeypatch.setenv("LANGFUSE_PUBLIC_KEY", "pk-lf-1")
+        monkeypatch.setenv("LANGFUSE_SECRET_KEY", "sk-lf-1")
+        monkeypatch.setenv("LANGFUSE_HOST", "https://cloud.langfuse.com")
+        monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://collector.local:4318")
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        collector_logger = build_otel_v2_logger(OpenTelemetryV2Config(exporter="in_memory"))
+
+        is_otel_v2_enabled.cache_clear()
+        logger = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", [collector_logger])
+        is_otel_v2_enabled.cache_clear()
+
+        assert logger is not None
+        assert [spec.endpoint for spec in logger.config.exporters] == [
+            "http://collector.local:4318",
+            "https://cloud.langfuse.com/api/public/otel",
+        ]
+        assert all(spec.headers for spec in logger.config.exporters if spec.requires_headers)
+
+
+class TestContextIsolation:
+    def test_destinations_do_not_leak_between_requests(self):
+        def first():
+            set_request_destinations((LANGFUSE_DEST,))
+            return destination_backends()
+
+        assert in_fresh_context(first) == frozenset({"langfuse_otel"})
+        assert in_fresh_context(request_destinations) == ()
+
+
+class TestOperatorShorthandSurvivesDegradation:
+    def test_a_generic_otlp_collector_keeps_receiving_when_langfuse_has_no_credentials(self, monkeypatch):
+        """Only the stdout placeholder is dropped. An operator who set the standard
+        OTLP env vars configured a real destination and must keep it."""
+        monkeypatch.delenv("LANGFUSE_PUBLIC_KEY", raising=False)
+        monkeypatch.delenv("LANGFUSE_SECRET_KEY", raising=False)
+        monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://collector.local:4318")
+
+        config = langfuse_preset(allow_missing_credentials=True)
+
+        assert [spec.endpoint for spec in config.exporters] == ["http://collector.local:4318", None]
+        assert [spec.kind for spec in config.exporters] == ["otlp_http", "console"]
+
+    def test_the_stdout_placeholder_is_still_dropped_when_it_is_the_only_exporter(self, monkeypatch):
+        credential_less_proxy(monkeypatch)
+
+        config = langfuse_preset(allow_missing_credentials=True)
+
+        assert all(spec.requires_headers and not spec.headers for spec in config.exporters)
+
+
+class TestBackendEndpointParity:
+    def test_arize_follows_its_own_http_endpoint_instead_of_the_grpc_default(self, monkeypatch):
+        monkeypatch.delenv("ARIZE_ENDPOINT", raising=False)
+        monkeypatch.setenv("ARIZE_HTTP_ENDPOINT", "https://otlp.arize.com/v1/traces")
+
+        destination = destination_for("arize", {"arize_space_id": "s", "arize_api_key": "k"})
+
+        assert destination.endpoint == "https://otlp.arize.com/v1/traces"
+        assert destination.protocol == "otlp_http"
+
+    def test_arize_uses_grpc_when_nothing_is_configured(self, monkeypatch):
+        monkeypatch.delenv("ARIZE_ENDPOINT", raising=False)
+        monkeypatch.delenv("ARIZE_HTTP_ENDPOINT", raising=False)
+
+        destination = destination_for("arize", {"arize_space_id": "s", "arize_api_key": "k"})
+
+        assert destination.endpoint == "https://otlp.arize.com/v1"
+        assert destination.protocol == "otlp_grpc"
+
+    def test_weave_follows_a_self_hosted_wandb_host(self, monkeypatch):
+        monkeypatch.setenv("WANDB_HOST", "weave.internal.example")
+
+        destination = destination_for("weave_otel", {"wandb_api_key": "k", "weave_project_id": "e/p"})
+
+        assert destination.endpoint == "https://weave.internal.example/otel/v1/traces"
+
+    def test_weave_uses_the_cloud_endpoint_without_a_host(self, monkeypatch):
+        monkeypatch.delenv("WANDB_HOST", raising=False)
+
+        destination = destination_for("weave_otel", {"wandb_api_key": "k", "weave_project_id": "e/p"})
+
+        assert destination.endpoint == "https://trace.wandb.ai/otel/v1/traces"
+
+
+class TestIncompleteCredentials:
+    """Half a credential set builds a non-empty but unusable header dict. Accepting it
+    would suppress the operator's exporter and send the trace where it cannot land."""
+
+    @pytest.mark.parametrize(
+        "callback_name,callback_vars",
+        [
+            ("arize", {"arize_api_key": "k"}),
+            ("arize", {"arize_space_id": "s"}),
+            ("weave_otel", {"wandb_api_key": "k"}),
+            ("weave_otel", {"weave_project_id": "e/p"}),
+            ("langfuse_otel", {"langfuse_public_key": "pk"}),
+        ],
+    )
+    def test_a_partial_credential_set_resolves_to_nothing(self, callback_name, callback_vars):
+        assert destination_for(callback_name, callback_vars) is None
+
+    @pytest.mark.parametrize(
+        "callback_name,callback_vars",
+        [
+            ("arize", {"arize_space_id": "s", "arize_api_key": "k"}),
+            ("weave_otel", {"wandb_api_key": "k", "weave_project_id": "e/p"}),
+            ("newrelic", {"newrelic_api_key": "k"}),
+        ],
+    )
+    def test_a_complete_credential_set_resolves(self, callback_name, callback_vars):
+        assert destination_for(callback_name, callback_vars) is not None
+
+
+@pytest.mark.usefixtures("allow_test_hosts")
+class TestCallbackTypeFilter:
+    @staticmethod
+    def _auth(callback_type: str | None) -> UserAPIKeyAuth:
+        return UserAPIKeyAuth(
+            team_metadata={
+                "logging": [
+                    {
+                        "callback_name": "langfuse_otel",
+                        "callback_type": callback_type,
+                        "callback_vars": {
+                            "langfuse_public_key": "pk",
+                            "langfuse_secret_key": "sk",
+                            "langfuse_host": "http://team.local",
+                        },
+                    }
+                ]
+            }
+        )
+
+    @pytest.mark.parametrize("callback_type", ["success", "success_and_failure", None])
+    def test_an_entry_that_wants_success_traces_gets_the_whole_trace(self, monkeypatch, callback_type):
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        is_otel_v2_enabled.cache_clear()
+
+        assert resolve_tenant_otel_destinations(self._auth(callback_type)) != ()
+
+    def test_a_failure_only_entry_does_not_take_over_the_trace(self, monkeypatch):
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        is_otel_v2_enabled.cache_clear()
+
+        assert resolve_tenant_otel_destinations(self._auth("failure")) == ()
+
+
+class TestTenantConfigAgreement:
+    """The destination resolver and ``convert_key_logging_metadata_to_callback`` read
+    the same stored config, so they must not read it two different ways."""
+
+    @pytest.fixture(autouse=True)
+    def _v2_on(self, monkeypatch):
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        monkeypatch.setattr(
+            litellm, "provider_url_destination_allowed_hosts", ["team.local", "key.local"], raising=False
+        )
+        is_otel_v2_enabled.cache_clear()
+        yield
+        is_otel_v2_enabled.cache_clear()
+
+    @staticmethod
+    def _entry(host, **extra):
+        return {
+            "callback_name": "langfuse_otel",
+            "callback_vars": {"langfuse_public_key": "pk", "langfuse_secret_key": "sk", "langfuse_host": host, **extra},
+        }
+
+    def test_a_key_that_disabled_its_callbacks_does_not_fall_back_to_the_team(self):
+        """Disabling a key's callbacks stores an empty list, which the sibling parser
+        reads as 'the key configured none'."""
+        auth = UserAPIKeyAuth(
+            metadata={"logging": []},
+            team_metadata={"logging": [self._entry("http://team.local")]},
+        )
+
+        assert resolve_tenant_otel_destinations(auth) == ()
+
+    def test_two_entries_for_one_backend_merge_their_vars_last_wins(self):
+        auth = UserAPIKeyAuth(
+            team_metadata={
+                "logging": [
+                    self._entry("http://team.local"),
+                    {"callback_name": "langfuse_otel", "callback_vars": {"langfuse_host": "http://key.local"}},
+                ]
+            }
+        )
+
+        destinations = resolve_tenant_otel_destinations(auth)
+
+        assert [d.endpoint for d in destinations] == ["http://key.local/api/public/otel"]
+
+    @pytest.fixture
+    def premium(self, monkeypatch):
+        from litellm.proxy import proxy_server
+
+        monkeypatch.setattr(proxy_server, "premium_user", True)
+        monkeypatch.setattr(litellm, "allow_dynamic_callback_disabling", True)
+
+    @pytest.mark.usefixtures("premium")
+    def test_a_backend_the_key_disabled_resolves_to_no_destination(self):
+        """Dispatch skips a callback named in the key's ``litellm_disabled_callbacks``,
+        so the fan-out must not deliver to it either."""
+        auth = UserAPIKeyAuth(
+            metadata={"litellm_disabled_callbacks": ["Langfuse_OTEL"]},
+            team_metadata={"logging": [self._entry("http://team.local")]},
+        )
+
+        assert resolve_tenant_otel_destinations(auth) == ()
+
+    @pytest.mark.usefixtures("premium")
+    @pytest.mark.parametrize(
+        ("header", "resolved"),
+        [
+            ("langfuse_otel", False),
+            (" LANGFUSE_OTEL ,arize", False),
+            ("arize", True),
+        ],
+    )
+    def test_the_disable_header_wins_over_the_key_list(self, header, resolved):
+        """Same precedence as dispatch: a header that names other backends re-enables
+        the one the key stored."""
+        auth = UserAPIKeyAuth(
+            metadata={"litellm_disabled_callbacks": ["langfuse_otel"]},
+            team_metadata={"logging": [self._entry("http://team.local")]},
+        )
+
+        destinations = resolve_tenant_otel_destinations(auth, {"x-litellm-disable-callbacks": header})
+
+        assert bool(destinations) is resolved
+
+    def test_a_non_premium_proxy_ignores_the_disabled_list_like_dispatch_does(self, monkeypatch):
+        from litellm.proxy import proxy_server
+
+        monkeypatch.setattr(proxy_server, "premium_user", False)
+        auth = UserAPIKeyAuth(
+            metadata={"litellm_disabled_callbacks": ["langfuse_otel"]},
+            team_metadata={"logging": [self._entry("http://team.local")]},
+        )
+
+        assert resolve_tenant_otel_destinations(auth, {"x-litellm-disable-callbacks": "langfuse_otel"}) != ()
+
+
+class TestEvictionSafety:
+    class Recording(SimpleSpanProcessor):
+        def __init__(self):
+            super().__init__(InMemorySpanExporter())
+            self.shutdown_calls = 0
+
+        def shutdown(self):
+            self.shutdown_calls += 1
+
+    def _fan_out(self):
+        built = []
+
+        def factory(_destination):
+            built.append(self.Recording())
+            return built[-1]
+
+        return TenantFanOutSpanProcessor(processor_factory=factory), built
+
+    @staticmethod
+    def _dest(index):
+        return LANGFUSE_DEST.model_copy(update={"endpoint": f"http://d{index}/otel"})
+
+    @staticmethod
+    def _settle(fan_out, processor=None):
+        """Wait for retirement to clear and, when given, for the drain to run.
+
+        The drain pool is shared and bounded, so a shed processor is closed once a
+        worker picks it up rather than the moment it is handed over.
+        """
+        for _ in range(500):
+            if not fan_out._retired and (processor is None or processor.shutdown_calls):
+                return
+            time.sleep(0.02)
+
+    def test_a_processor_still_exporting_a_span_is_not_closed_under_it(self):
+        """``on_end`` holds a processor across the export, so closing an evicted one
+        there drops the span it is holding."""
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        fan_out, built = self._fan_out()
+        held = fan_out._acquire(self._dest(0))
+        for index in range(1, _MAX_CACHED_DESTINATION_PROCESSORS + 1):
+            fan_out._acquire(self._dest(index))
+            fan_out._release(built[-1])
+
+        assert held.shutdown_calls == 0
+        assert id(held) in fan_out._retired
+
+        fan_out._release(held)
+        self._settle(fan_out, held)
+
+        assert held.shutdown_calls == 1
+
+    def test_a_recently_used_destination_is_not_the_one_evicted(self):
+        """Without the refresh the cache sheds by insertion order, so the busiest
+        destination is the one whose exporter is rebuilt on every overflow."""
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        fan_out, built = self._fan_out()
+        for index in range(_MAX_CACHED_DESTINATION_PROCESSORS):
+            fan_out._release(fan_out._acquire(self._dest(index)))
+        fan_out._release(fan_out._acquire(self._dest(0)))
+        fan_out._release(fan_out._acquire(self._dest(_MAX_CACHED_DESTINATION_PROCESSORS)))
+        self._settle(fan_out, built[1])
+
+        assert built[1].shutdown_calls == 1
+        assert built[0].shutdown_calls == 0, "the destination used most recently was the one shed"
+
+    def test_an_idle_evicted_processor_is_closed_off_the_export_path(self):
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        fan_out, built = self._fan_out()
+        for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 1):
+            fan_out._acquire(self._dest(index))
+            fan_out._release(built[-1])
+        self._settle(fan_out, built[0])
+
+        assert built[0].shutdown_calls == 1
+        assert len(fan_out._processors) == _MAX_CACHED_DESTINATION_PROCESSORS
+
+    def test_a_slow_collector_does_not_hold_up_the_export_path(self):
+        """``shutdown`` flushes over the network and is reached from ``on_end``, so
+        closing a shed processor inline lets one unreachable tenant collector stall
+        every other tenant's spans."""
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        class Slow(self.Recording):
+            def shutdown(self):
+                time.sleep(3)
+                super().shutdown()
+
+        built = []
+
+        def factory(_destination):
+            built.append(Slow())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory)
+        started = time.monotonic()
+        for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 1):
+            fan_out._acquire(self._dest(index))
+            fan_out._release(built[-1])
+
+        assert time.monotonic() - started < 2
+
+    def test_shedding_many_processors_does_not_spawn_a_thread_each(self):
+        """A tenant that cycles its destination config sheds a processor per request,
+        so a thread per shed processor is a thread per request against a slow
+        collector."""
+        import threading
+
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        release = threading.Event()
+
+        class Blocking(self.Recording):
+            def shutdown(self):
+                release.wait(timeout=10)
+                super().shutdown()
+
+        built = []
+
+        def factory(_destination):
+            built.append(Blocking())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory)
+        before = self._drain_workers()
+        try:
+            for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 30):
+                fan_out._acquire(self._dest(index))
+                fan_out._release(built[-1])
+            grew = self._drain_workers() - before
+            assert grew == 0, f"one drain thread per shed processor: {grew} new threads"
+        finally:
+            release.set()
+            self._settle(fan_out, built[0])
+
+    def test_a_saturated_drain_leaves_new_destinations_with_the_operator(self):
+        """A shed processor keeps its batch thread until its close returns, and against
+        a collector that never answers every close waits out the exporter's timeout.
+        Tenants rotating past the cache cap would otherwise queue one more processor,
+        and one more thread, per request for as long as the outage lasts."""
+        import threading
+
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        release = threading.Event()
+
+        class Blocking(self.Recording):
+            def shutdown(self):
+                release.wait(timeout=10)
+                super().shutdown()
+
+        built = []
+
+        def factory(_destination):
+            built.append(Blocking())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory, pending_drains=3)
+        try:
+            anchored = tuple(
+                fan_out.deliverable((self._dest(index),)) for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 40)
+            )
+
+            assert len(built) == _MAX_CACHED_DESTINATION_PROCESSORS + 3, "a processor per request during the outage"
+            assert sum(1 for accepted in anchored if accepted) == len(built), "anchored what it could not build"
+            assert fan_out.deliverable((self._dest(999),)) == (), "the span would vanish instead of staying with the operator"
+        finally:
+            release.set()
+        for _ in range(500):
+            if not fan_out._drain.saturated():
+                break
+            time.sleep(0.02)
+
+        assert fan_out.deliverable((self._dest(999),)) == (self._dest(999),), "the fan-out never recovered"
+
+    def test_an_anchored_destination_evicted_under_a_saturated_drain_still_gets_the_span(self):
+        """``deliverable`` accepted the destination, so the operator's exporter has stood
+        down for it. Other tenants' auths can then evict it, and the eviction is what
+        tips the drain into saturation, so refusing the rebuild at ``on_end`` would drop
+        the span outright."""
+        import threading
+
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        release = threading.Event()
+
+        class Blocking(self.Recording):
+            def shutdown(self):
+                release.wait(timeout=10)
+                super().shutdown()
+
+        built = []
+
+        def factory(_destination):
+            built.append(Blocking())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(
+            processor_factory=factory, pending_drains=_MAX_CACHED_DESTINATION_PROCESSORS + 1
+        )
+        provider = TracerProvider()
+        provider.add_span_processor(fan_out)
+        tracer = get_tracer(provider, "litellm")
+        anchored = self._dest(0)
+        try:
+            for index in range(1, _MAX_CACHED_DESTINATION_PROCESSORS + 1):
+                assert fan_out.deliverable((self._dest(index),))
+            assert fan_out.deliverable((anchored,)) == (anchored,)
+            first = built[-1]
+            for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 1, 2 * _MAX_CACHED_DESTINATION_PROCESSORS + 1):
+                assert fan_out.deliverable((self._dest(index),))
+            assert fan_out._drain.saturated(), "the anchored destination's own eviction saturates the drain"
+            assert first not in fan_out._processors.values(), "the anchored destination was not evicted"
+
+            def run():
+                set_request_destinations((anchored,))
+                with tracer.start_as_current_span("chat anthropic"):
+                    pass
+
+            before = len(built)
+            in_fresh_context(run)
+            assert len(built) == before + 1, "the anchored destination was not rebuilt, so its span went nowhere"
+            assert [span.name for span in built[-1].span_exporter.get_finished_spans()] == ["chat anthropic"]
+            assert first.span_exporter.get_finished_spans() == (), "the shed processor was handed out again"
+        finally:
+            release.set()
+
+    def _saturated_by_anchoring(self, pending_drains, extra):
+        """A fan-out whose drain ``extra`` anchorings past the cache cap have saturated.
+
+        Returns it with the processors built, the destinations that anchored, and the
+        event that lets the blocked closes finish.
+        """
+        import threading
+
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        release = threading.Event()
+
+        class Blocking(self.Recording):
+            def shutdown(self):
+                release.wait(timeout=10)
+                super().shutdown()
+
+        built = []
+
+        def factory(_destination):
+            built.append(Blocking())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory, pending_drains=pending_drains)
+        destinations = tuple(self._dest(index) for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + extra))
+        anchored = tuple(destination for destination in destinations if fan_out.deliverable((destination,)))
+        assert fan_out._drain.saturated(), "anchoring past the cap did not saturate the drain"
+        assert len(anchored) > _MAX_CACHED_DESTINATION_PROCESSORS, "not enough destinations in flight to churn"
+        return fan_out, built, anchored, release
+
+    def test_anchored_rebuilds_under_a_saturated_drain_do_not_grow_with_the_spans(self):
+        """Every anchored rebuild past the cap evicts another anchored destination, whose
+        next span rebuilds it in turn. With more destinations in flight than the cache
+        holds, each span would then cost one more processor, one more batch thread and
+        one more close queued behind a collector that never answers."""
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        fan_out, built, anchored, release = self._saturated_by_anchoring(pending_drains=4, extra=8)
+        try:
+            after_anchoring = len(built)
+            for _ in range(5):
+                for destination in anchored:
+                    fan_out._release(fan_out._acquire(destination))
+
+            rebuilt = len(built) - after_anchoring
+            assert rebuilt == len(anchored) - _MAX_CACHED_DESTINATION_PROCESSORS, (
+                f"{rebuilt} rebuilds over 5 rounds of {len(anchored)} anchored destinations: one per evicted one expected"
+            )
+            assert len(fan_out._processors) == len(anchored), "an anchored destination was shed under a saturated drain"
+            assert all(destination in fan_out.deliverable((destination,)) for destination in anchored)
+        finally:
+            release.set()
+
+    def test_the_cache_returns_to_its_cap_once_the_drain_has_room(self):
+        """Holding above the cap is for the outage only: with the drain caught up, the
+        entries kept for the destinations in flight are the ones to shed."""
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        fan_out, built, anchored, release = self._saturated_by_anchoring(pending_drains=4, extra=8)
+        for destination in anchored:
+            fan_out._release(fan_out._acquire(destination))
+        assert len(fan_out._processors) > _MAX_CACHED_DESTINATION_PROCESSORS
+
+        release.set()
+        for _ in range(500):
+            for destination in anchored[-4:]:
+                fan_out._release(fan_out._acquire(destination))
+            if len(fan_out._processors) <= _MAX_CACHED_DESTINATION_PROCESSORS:
+                break
+            time.sleep(0.02)
+
+        assert len(fan_out._processors) == _MAX_CACHED_DESTINATION_PROCESSORS, "the cache never came back to its cap"
+        shed = len(built) - _MAX_CACHED_DESTINATION_PROCESSORS
+        for _ in range(500):
+            if sum(processor.shutdown_calls for processor in built) == shed:
+                break
+            time.sleep(0.02)
+
+        assert sum(processor.shutdown_calls for processor in built) == shed, "a shed processor was never closed"
+
+    def test_concurrent_eviction_cannot_build_between_retirement_and_drain_submission(self):
+        """A second request cannot build while the first eviction is being handed to
+        the drain, or concurrent churn can outrun the pending-drain limit."""
+        import threading
+
+        from litellm.integrations.otel.plumbing.providers import (
+            _DrainPool,
+            _MAX_CACHED_DESTINATION_PROCESSORS,
+        )
+
+        class GatedDrain(_DrainPool):
+            def __init__(self):
+                super().__init__(workers=0)
+                self.started = threading.Event()
+                self.release = threading.Event()
+
+            def saturated(self):
+                return False
+
+            def submit(self, processor):
+                if not self.started.is_set():
+                    self.started.set()
+                    self.release.wait(timeout=5)
+
+        built = []
+
+        def factory(_destination):
+            built.append(self.Recording())
+            return built[-1]
+
+        drain = GatedDrain()
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory, drain_pool=drain)
+        for index in range(_MAX_CACHED_DESTINATION_PROCESSORS):
+            fan_out._release(fan_out._acquire(self._dest(index)))
+
+        first = threading.Thread(target=lambda: fan_out._release(fan_out._acquire(self._dest(32))))
+        first.start()
+        assert drain.started.wait(timeout=5)
+        second = threading.Thread(target=lambda: fan_out._release(fan_out._acquire(self._dest(33))))
+        second.start()
+        time.sleep(0.1)
+
+        assert len(built) == _MAX_CACHED_DESTINATION_PROCESSORS + 1
+
+        drain.release.set()
+        first.join(timeout=5)
+        second.join(timeout=5)
+        assert not first.is_alive() and not second.is_alive()
+        assert len(built) == _MAX_CACHED_DESTINATION_PROCESSORS + 2
+
+    def test_drain_workers_are_daemons(self):
+        """Python joins a ThreadPoolExecutor's workers at interpreter exit, so one
+        unreachable tenant collector would hold the proxy open for its export
+        timeout on the way down."""
+        import threading
+
+        self._fan_out()
+        workers = [t for t in threading.enumerate() if t.name.startswith("litellm-otel-destination-drain")]
+
+        assert workers, "no drain worker was started"
+        assert all(t.daemon for t in workers), "a non-daemon drain worker blocks interpreter exit"
+
+    def test_a_burst_of_first_evictions_starts_one_set_of_drain_workers(self):
+        """A drain pool built lazily on first use is not built once: several threads
+        can each finish the build, and every pool but the winner is left with its
+        workers blocked on a queue nothing will ever feed again."""
+        import threading
+
+        from litellm.integrations.otel.plumbing.providers import (
+            _DRAIN_WORKERS,
+            _MAX_CACHED_DESTINATION_PROCESSORS,
+        )
+
+        for _ in range(3):
+            before = self._drain_workers()
+            fan_out, built = self._fan_out()
+            for index in range(_MAX_CACHED_DESTINATION_PROCESSORS):
+                fan_out._release(fan_out._acquire(self._dest(index)))
+            barrier = threading.Barrier(16)
+
+            def shed(index, fan_out=fan_out, barrier=barrier):
+                barrier.wait(timeout=10)
+                fan_out._release(fan_out._acquire(self._dest(index)))
+
+            threads = [
+                threading.Thread(target=shed, args=(_MAX_CACHED_DESTINATION_PROCESSORS + index,)) for index in range(16)
+            ]
+            for thread in threads:
+                thread.start()
+            for thread in threads:
+                thread.join(timeout=10)
+            self._settle(fan_out)
+
+            assert self._drain_workers() - before == _DRAIN_WORKERS
+
+    @staticmethod
+    def _drain_workers():
+        import threading
+
+        return len([t for t in threading.enumerate() if t.name.startswith("litellm-otel-destination-drain")])
+
+    def test_shutdown_does_not_close_a_processor_under_an_in_flight_export(self):
+        """``on_end`` runs on whichever thread ends a span, so it reaches the fan-out
+        while the SDK tears the provider down."""
+        import threading
+
+        fan_out, _ = self._fan_out()
+        held = fan_out._acquire(self._dest(0))
+        closed = threading.Thread(target=fan_out.shutdown)
+        closed.start()
+        try:
+            time.sleep(0.3)
+
+            assert held.shutdown_calls == 0, "closed a processor with a span still being forwarded"
+        finally:
+            fan_out._release(held)
+            closed.join(timeout=10)
+
+        assert held.shutdown_calls == 1
+
+    def test_a_closed_fan_out_builds_no_new_processor(self):
+        """A processor built after shutdown is one nothing will ever close, and it
+        exports to a tenant on a provider the SDK has already torn down."""
+        fan_out, built = self._fan_out()
+        fan_out.shutdown()
+
+        assert fan_out._acquire(self._dest(0)) is None
+        assert built == []
+
+    def test_shutdown_gives_up_on_an_export_that_never_finishes(self):
+        """The wait is bounded: an exporter stuck on a dead collector must not hold
+        the proxy open on the way down."""
+        import threading
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=lambda _d: self.Recording(), shutdown_drain_seconds=0.2)
+        fan_out._acquire(self._dest(0))
+        closed = threading.Thread(target=fan_out.shutdown)
+        closed.start()
+        closed.join(timeout=5)
+
+        assert not closed.is_alive(), "shutdown blocked on an export that never finished"
+
+    def test_shutdown_retires_the_drain_workers(self):
+        """A proxy that rebuilds its telemetry builds another fan-out, so workers that
+        outlive the one that started them are two more threads per reload."""
+        from litellm.integrations.otel.plumbing.providers import _DRAIN_WORKERS
+
+        before = self._drain_workers()
+        fan_out, _ = self._fan_out()
+        assert self._drain_workers() - before == _DRAIN_WORKERS
+
+        fan_out.shutdown()
+        for _ in range(500):
+            if self._drain_workers() == before:
+                break
+            time.sleep(0.02)
+
+        assert self._drain_workers() == before, "the drain workers outlived their fan-out"
+
+    def test_a_processor_shed_after_shutdown_is_still_closed(self):
+        """``close`` retires the workers, so anything handed to the pool afterwards
+        would sit in a queue nobody reads."""
+        fan_out, _ = self._fan_out()
+        stray = self.Recording()
+        fan_out.shutdown()
+        fan_out._drain.submit(stray)
+
+        for _ in range(500):
+            if stray.shutdown_calls:
+                break
+            time.sleep(0.02)
+
+        assert stray.shutdown_calls == 1
+
+    def test_releasing_a_straggler_after_shutdown_does_not_block_the_span_thread(self):
+        """The teardown deadline has already expired by then, so closing the straggler
+        inline would park whichever thread just ended a span on the very flush the
+        deadline gave up waiting for."""
+        import threading
+
+        never = threading.Event()
+
+        class Stuck(self.Recording):
+            def shutdown(self):
+                never.wait()
+
+        def factory(_destination):
+            return Stuck()
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory, shutdown_drain_seconds=0.05)
+        held = fan_out._acquire(self._dest(0))
+        fan_out.shutdown()
+
+        released = threading.Event()
+        caller = threading.Thread(target=lambda: (fan_out._release(held), released.set()), daemon=True)
+        caller.start()
+        came_back = released.wait(timeout=5)
+        never.set()
+
+        assert came_back, "the thread that ended the span was left holding a stuck teardown"
+
+    def test_shutdown_waits_out_an_export_that_lands_inside_the_bound(self):
+        """Without the wait the closing is left to a daemon thread, which the
+        interpreter can retire before it runs, so the last spans never reach the
+        tenant."""
+        import threading
+
+        fan_out, built = self._fan_out()
+        held = fan_out._acquire(self._dest(0))
+        threading.Timer(0.2, lambda: fan_out._release(held)).start()
+
+        fan_out.shutdown()
+
+        assert held.shutdown_calls == 1, "shutdown returned before the export it should have waited out"
+
+    def test_a_straggler_past_the_drain_bound_is_closed_by_its_own_thread(self):
+        """The wait is bounded so one dead collector cannot hold the proxy open, which
+        means a processor still exporting when it expires has to be left to the thread
+        holding it rather than closed under the span it is carrying."""
+        built = []
+
+        def factory(_destination):
+            built.append(self.Recording())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory, shutdown_drain_seconds=0.05)
+        held = fan_out._acquire(self._dest(0))
+
+        fan_out.shutdown()
+
+        assert held.shutdown_calls == 0
+
+        fan_out._release(held)
+        self._settle(fan_out, held)
+
+        assert held.shutdown_calls == 1
+
+    def test_a_processor_built_while_shutdown_waits_is_still_closed(self):
+        """Shutdown cannot slip between the build and the insert, which would leave a
+        live exporter, with its batch thread and its connection pool, in a map nothing
+        will read again."""
+        import threading
+
+        built = []
+
+        def slow(_destination):
+            time.sleep(0.4)
+            built.append(self.Recording())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=slow, shutdown_drain_seconds=0.05)
+        acquired = []
+        caller = threading.Thread(target=lambda: acquired.append(fan_out._acquire(self._dest(0))))
+        caller.start()
+        time.sleep(0.1)
+        fan_out.shutdown()
+        caller.join(timeout=10)
+
+        assert acquired == built, "the build shutdown waited out was thrown away"
+
+        fan_out._release(built[0])
+        self._settle(fan_out, built[0])
+
+        assert built[0].shutdown_calls == 1, "the exporter outlived the fan-out"
+        assert fan_out._processors == {}, "an exporter was left in a cleared cache"
+
+    def test_shutdown_returns_when_a_destination_never_finishes_closing(self):
+        """Closing an exporter flushes over the network and the SDK joins its own
+        worker with no timeout, so a tenant collector that answers but never finishes
+        a response would hold process teardown open for as long as it likes."""
+        import threading
+
+        never = threading.Event()
+
+        class Stuck(self.Recording):
+            def shutdown(self):
+                never.wait()
+
+        built = []
+
+        def factory(_destination):
+            built.append(Stuck())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory, shutdown_drain_seconds=0.3)
+        fan_out._release(fan_out._acquire(self._dest(0)))
+        returned = threading.Event()
+        threading.Thread(target=lambda: (fan_out.shutdown(), returned.set()), daemon=True).start()
+
+        came_back = returned.wait(timeout=8)
+        never.set()
+
+        assert came_back, "shutdown never returned while a collector held its exporter open"
+
+    def test_a_cold_cache_met_by_a_burst_builds_one_processor_per_destination(self):
+        """Building outside the cache lock let every thread of the burst construct its
+        own exporter, each with a batch thread and a connection pool, and shed all but
+        one into the drain."""
+        import threading
+
+        built = []
+
+        def factory(_destination):
+            time.sleep(0.01)
+            built.append(self.Recording())
+            return built[-1]
+
+        fan_out = TenantFanOutSpanProcessor(processor_factory=factory)
+        ready = threading.Barrier(8)
+
+        def acquire():
+            ready.wait()
+            fan_out._release(fan_out._acquire(self._dest(0)))
+
+        callers = [threading.Thread(target=acquire) for _ in range(8)]
+        for caller in callers:
+            caller.start()
+        for caller in callers:
+            caller.join(timeout=10)
+
+        assert len(built) == 1, f"one destination, {len(built)} exporters built"
+
+    def test_a_submit_racing_close_is_never_stranded_behind_the_sentinels(self):
+        """A submit that read the closed state and then let ``close`` run queues its
+        processor after every sentinel, where the workers have already exited."""
+        import queue
+        import threading
+
+        from litellm.integrations.otel.plumbing.providers import _DrainPool
+
+        at_the_put, close_returned = threading.Event(), threading.Event()
+
+        class Gated(queue.Queue):
+            def put(self, item, *args, **kwargs):
+                if item is not None:
+                    at_the_put.set()
+                    close_returned.wait(timeout=1)
+                super().put(item, *args, **kwargs)
+
+        pool = _DrainPool(pending=Gated())
+        submitted = self.Recording()
+        submitter = threading.Thread(target=pool.submit, args=(submitted,))
+        submitter.start()
+        assert at_the_put.wait(timeout=5)
+        closer = threading.Thread(target=pool.close)
+        closer.start()
+        closer.join(timeout=1.5)
+        close_returned.set()
+        submitter.join(timeout=5)
+        closer.join(timeout=5)
+        for _ in range(250):
+            if submitted.shutdown_calls:
+                break
+            time.sleep(0.02)
+
+        assert submitted.shutdown_calls == 1, "a processor was queued behind the sentinels and never closed"
+
+    def test_a_retired_processor_is_still_closed_after_shutdown(self):
+        """Eviction and shutdown can both land while a span is being forwarded, and the
+        evicted processor still has to be closed once that export returns."""
+        from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS
+
+        fan_out, built = self._fan_out()
+        held = fan_out._acquire(self._dest(0))
+        for index in range(1, _MAX_CACHED_DESTINATION_PROCESSORS + 1):
+            fan_out._acquire(self._dest(index))
+            fan_out._release(built[-1])
+        fan_out.shutdown()
+
+        assert held.shutdown_calls == 0
+
+        fan_out._release(held)
+        self._settle(fan_out, held)
+
+        assert held.shutdown_calls == 1
+
+
+class TestCredentialGatedExporters:
+    def test_layering_a_second_preset_does_not_eat_the_first_gated_exporter(self, monkeypatch):
+        """``base.Preset`` advertises ``config_overrides`` layering, and the gated spec
+        is itself a console exporter with no endpoint."""
+        credential_less_proxy(monkeypatch)
+        from litellm.integrations.otel.presets.utils import credential_gated_exporters
+
+        once = credential_gated_exporters((), ExporterOwner.LANGFUSE_OTEL)
+        twice = credential_gated_exporters(once, ExporterOwner.WEAVE_OTEL)
+
+        assert [spec.owner for spec in twice] == [ExporterOwner.LANGFUSE_OTEL, ExporterOwner.WEAVE_OTEL]
+
+    def test_an_exporter_the_operator_configured_survives(self):
+        from litellm.integrations.otel.presets.utils import credential_gated_exporters
+
+        operator_console = ExporterSpec(kind="console", use_simple_processor=True)
+
+        kept = credential_gated_exporters((operator_console,), ExporterOwner.LANGFUSE_OTEL)
+
+        assert kept[0] == operator_console
+
+    def test_an_otlp_exporter_on_its_default_endpoint_survives(self):
+        """``OTEL_EXPORTER=otlp_http`` with no endpoint is a real collector on the SDK's
+        default port, not the placeholder, so the transport is what tells them apart."""
+        from litellm.integrations.otel.presets.utils import credential_gated_exporters
+
+        operator_otlp = ExporterSpec(kind="otlp_http", endpoint=None, headers=None)
+
+        kept = credential_gated_exporters((operator_otlp,), ExporterOwner.LANGFUSE_OTEL)
+
+        assert kept[0] == operator_otlp
+
+    def test_an_in_memory_exporter_the_operator_asked_for_survives(self):
+        """``OTEL_EXPORTER=in_memory`` stores spans, so it is a destination the operator
+        chose, not the placeholder that stands in for choosing nothing."""
+        from litellm.integrations.otel.presets.utils import credential_gated_exporters
+
+        operator_memory = ExporterSpec(kind="in_memory", endpoint=None, headers=None)
+
+        kept = credential_gated_exporters((operator_memory,), ExporterOwner.LANGFUSE_OTEL)
+
+        assert kept[0] == operator_memory
+
+    def test_the_synthesized_stdout_placeholder_is_dropped(self, monkeypatch):
+        from litellm.integrations.otel.presets.utils import credential_gated_exporters
+
+        for name in _OTEL_SHORTHAND_ENV:
+            monkeypatch.delenv(name, raising=False)
+        placeholder = OpenTelemetryV2Config().exporters[0]
+
+        kept = credential_gated_exporters((placeholder,), ExporterOwner.LANGFUSE_OTEL)
+
+        assert [spec.owner for spec in kept] == [ExporterOwner.LANGFUSE_OTEL]
+
+    def test_a_console_exporter_the_operator_named_survives(self, monkeypatch):
+        """Same kind, endpoint and headers as the placeholder; only the fact that the
+        operator set ``OTEL_EXPORTER`` tells them apart."""
+        from litellm.integrations.otel.presets.utils import credential_gated_exporters
+
+        for name in _OTEL_SHORTHAND_ENV:
+            monkeypatch.delenv(name, raising=False)
+        monkeypatch.setenv("OTEL_EXPORTER", "console")
+        operator_console = OpenTelemetryV2Config().exporters[0]
+
+        kept = credential_gated_exporters((operator_console,), ExporterOwner.LANGFUSE_OTEL)
+
+        assert kept[0] is operator_console
+
+
+class TestTenantHostSsrfGuard:
+    """Anyone who can mint a key can write ``langfuse_host``, so the host it names has
+    to be one the operator approved."""
+
+    @pytest.fixture(autouse=True)
+    def _guard_on(self, monkeypatch):
+        from litellm.integrations.otel.presets.destinations import _warn_host_not_allowlisted
+
+        monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", [], raising=False)
+        _warn_host_not_allowlisted.cache_clear()
+        yield
+        _warn_host_not_allowlisted.cache_clear()
+
+    @staticmethod
+    def _langfuse(host: str) -> Mapping[str, str]:
+        return {"langfuse_public_key": "pk", "langfuse_secret_key": "sk", "langfuse_host": host}
+
+    @pytest.mark.parametrize(
+        "host",
+        [
+            "http://127.0.0.1:9111",
+            "http://169.254.169.254",
+            "http://10.0.0.5:3000",
+            "https://collector.example.com",
+            "https://langfuse.corp:99999",
+            "ftp://collector.example.com",
+        ],
+    )
+    def test_a_host_the_operator_never_approved_resolves_to_nothing(self, host):
+        assert destination_for("langfuse_otel", self._langfuse(host)) is None
+
+    def test_userinfo_naming_an_allowlisted_host_does_not_smuggle_a_second_one(self, monkeypatch):
+        """``https://allowed@10.0.0.5`` reads as the allowlisted host to the eye and
+        posts to 10.0.0.5 on the wire."""
+        monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["collector.example.com"], raising=False)
+
+        assert destination_for("langfuse_otel", self._langfuse("https://collector.example.com@10.0.0.5")) is None
+
+    def test_a_malformed_host_does_not_take_the_other_backends_with_it(self, monkeypatch):
+        """``urlparse(...).port`` raises a bare ValueError, which would escape
+        ``destination_for`` and kill the whole resolution."""
+        monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+        monkeypatch.setenv("NEW_RELIC_OTEL_ENDPOINT", "https://otlp.nr-data.net")
+        monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["collector.example.com"], raising=False)
+        is_otel_v2_enabled.cache_clear()
+        auth = UserAPIKeyAuth(
+            token="hashed",
+            team_metadata={
+                "logging": [
+                    {"callback_name": "langfuse_otel", "callback_vars": self._langfuse("https://lf.corp:99999")},
+                    {"callback_name": "newrelic", "callback_vars": {"newrelic_api_key": "nr"}},
+                ]
+            },
+        )
+
+        assert [d.callback_name for d in resolve_tenant_otel_destinations(auth)] == ["newrelic"]
+
+    def test_the_operator_can_allowlist_its_teams_internal_langfuse(self, monkeypatch):
+        monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["127.0.0.1:9111"], raising=False)
+
+        destination = destination_for("langfuse_otel", self._langfuse("http://127.0.0.1:9111"))
+
+        assert destination.endpoint == "http://127.0.0.1:9111/api/public/otel"
+
+    def test_the_operators_own_internal_host_is_never_blocked(self, monkeypatch):
+        """The operator configures ``LANGFUSE_HOST`` themselves, so an internal
+        collector there is a deployment choice rather than caller-supplied input."""
+        monkeypatch.setenv("LANGFUSE_HOST", "http://127.0.0.1:9111")
+
+        destination = destination_for("langfuse_otel", {"langfuse_public_key": "pk", "langfuse_secret_key": "sk"})
+
+        assert destination.endpoint == "http://127.0.0.1:9111/api/public/otel"
+
+    def test_an_allowlisted_host_is_taken_without_resolving_it(self, monkeypatch):
+        """The check runs on the asyncio auth path, so it must not block on a name the
+        caller chose. ``.invalid`` never resolves, and it is still accepted."""
+        monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["lf.invalid"], raising=False)
+
+        destination = destination_for("langfuse_otel", self._langfuse("https://lf.invalid"))
+
+        assert destination.endpoint == "https://lf.invalid/api/public/otel"
+
+    def test_a_rejected_host_is_warned_about_once(self, caplog):
+        with caplog.at_level("WARNING", logger="LiteLLM"):
+            for _ in range(3):
+                destination_for("langfuse_otel", self._langfuse("http://10.0.0.5:3000"))
+
+        assert sum("provider_url_destination_allowed_hosts" in record.message for record in caplog.records) == 1
diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_logger.py b/tests/test_litellm/integrations/otel/test_otel_v2_logger.py
index b735abaf7bf..2869c804c07 100644
--- a/tests/test_litellm/integrations/otel/test_otel_v2_logger.py
+++ b/tests/test_litellm/integrations/otel/test_otel_v2_logger.py
@@ -2041,7 +2041,7 @@ def test_select_global_otel_v2_logger_builds_one_when_none_registered():
     assert isinstance(chosen, OpenTelemetryV2)
 
 
-def test_publish_global_otel_v2_provider_sets_selected_logger_provider():
+def test_publish_global_otel_v2_provider_sets_selected_logger_provider(monkeypatch):
     """The startup publish must set the OTel global provider to the *selected*
     logger's provider (the preset logger that owns every exporter), so the FastAPI
     server span and the gen-ai spans share one provider and one trace.
@@ -2051,8 +2051,10 @@ def test_publish_global_otel_v2_provider_sets_selected_logger_provider():
     test would otherwise miss: that the published provider is the selected logger's,
     not some other.
     """
+    from litellm.integrations.otel import logger as otel_logger
     from litellm.integrations.otel.logger import publish_global_otel_v2_provider
 
+    monkeypatch.setattr(otel_logger, "_published_v2_provider", None)
     cfg = OpenTelemetryV2Config(exporter="in_memory")
     tp = providers.build_tracer_provider(cfg)
     preset_logger = OpenTelemetryV2(
diff --git a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
index b6366bc803e..6aa77745e3d 100644
--- a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
+++ b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py
@@ -6074,15 +6074,17 @@ def test_prompt_hooks_skip_prompt_managers_when_no_prompt_id(logging_obj, tmp_pa
         for hook in [cb for cb in litellm.callbacks if isinstance(cb, VectorStorePreCallHook)]:
             litellm.logging_callback_manager.remove_callback_from_list_by_object(litellm.callbacks, hook)
 def test_newrelic_dispatch_prefers_otel_v2_when_flag_on(monkeypatch):
-    """With LITELLM_OTEL_V2 on, the "newrelic" callback builds the OTel v2
-    logger (per-team credential routing); with the flag off (default) it keeps
-    the legacy agent-based logger, so existing deployments are untouched."""
+    """With LITELLM_OTEL_V2 on and operator credentials present, the "newrelic"
+    callback builds the OTel v2 logger (per-team credential routing); with the
+    flag off (default) it keeps the legacy agent-based logger, so existing
+    deployments are untouched."""
     from litellm.integrations.otel.logger import OpenTelemetryV2
     from litellm.integrations.otel.model.config import is_otel_v2_enabled
     from litellm.litellm_core_utils import litellm_logging as logging_module
 
     logging_module._in_memory_loggers.clear()
     monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+    monkeypatch.setenv("NEW_RELIC_LICENSE_KEY", "test-license-key")
     is_otel_v2_enabled.cache_clear()
     try:
         v2_logger = logging_module._init_custom_logger_compatible_class(
@@ -6137,6 +6139,7 @@ def test_get_custom_logger_compatible_class_finds_v2_newrelic(monkeypatch):
 
     logging_module._in_memory_loggers.clear()
     monkeypatch.setenv("LITELLM_OTEL_V2", "true")
+    monkeypatch.setenv("NEW_RELIC_LICENSE_KEY", "test-license-key")
     is_otel_v2_enabled.cache_clear()
     try:
         created = logging_module._init_custom_logger_compatible_class(
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py
index 79a2a27bb6d..9b6eaba3177 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py
@@ -7638,6 +7638,75 @@ class TestMCPMetaTraceCarrier:
         assert _mcp_meta_trace_carrier(SimpleNamespace(meta=only_progress)) is None
 
 
+@pytest.mark.asyncio
+async def test_stateful_mcp_tool_call_uses_current_requests_otel_destinations() -> None:
+    from types import SimpleNamespace
+
+    from mcp.server.lowlevel.server import request_ctx
+    from mcp.shared.context import RequestContext
+
+    from litellm.integrations.otel.model.destination import OtelDestination
+    from litellm.integrations.otel.plumbing.context import (
+        request_destinations,
+        reset_request_destinations,
+        set_request_destinations,
+    )
+    from litellm.proxy._experimental.mcp_server.mcp_server_manager import (
+        global_mcp_server_manager,
+    )
+    from litellm.proxy._experimental.mcp_server.server import (
+        _MCP_DESTINATIONS_SCOPE_KEY,
+        mcp_server_tool_call,
+        set_auth_context,
+    )
+    from litellm.proxy._experimental.mcp_server.tool_registry import (
+        global_mcp_tool_registry,
+    )
+
+    initialized_destination = OtelDestination(endpoint="https://initialize.example", callback_name="langfuse_otel")
+    current_destination = OtelDestination(endpoint="https://current.example", callback_name="arize")
+    server = MCPServer(
+        server_id="otel-context-test",
+        name="otelcontext",
+        transport=MCPTransport.http,
+        allow_all_keys=True,
+    )
+
+    async def observe_destinations() -> str:
+        assert request_destinations() == (current_destination,)
+        return "ok"
+
+    global_mcp_server_manager.registry[server.server_id] = server
+    global_mcp_server_manager.tool_name_to_mcp_server_name_mapping["otelcontext-observe"] = server.name
+    global_mcp_tool_registry.register_tool(
+        name="otelcontext-observe",
+        description="Observe request destinations",
+        input_schema={"type": "object"},
+        handler=observe_destinations,
+    )
+    set_auth_context(None, raw_headers={})
+    destinations_token = set_request_destinations((initialized_destination,))
+    scope = {_MCP_DESTINATIONS_SCOPE_KEY: (current_destination,)}
+    current_request_context = RequestContext(
+        request_id=1,
+        meta=None,
+        session=SimpleNamespace(),
+        lifespan_context=None,
+        request=SimpleNamespace(scope=scope),
+    )
+    request_token = request_ctx.set(current_request_context)
+    try:
+        result = await mcp_server_tool_call("otelcontext-observe", {})
+        assert result.isError is False
+        assert request_destinations() == (initialized_destination,)
+    finally:
+        request_ctx.reset(request_token)
+        reset_request_destinations(destinations_token)
+        global_mcp_tool_registry.tools.pop("otelcontext-observe", None)
+        global_mcp_server_manager.registry.pop(server.server_id, None)
+        global_mcp_server_manager.tool_name_to_mcp_server_name_mapping.pop("otelcontext-observe", None)
+
+
 @pytest.mark.asyncio
 async def test_get_allowed_mcp_servers_includes_active_servers_submitted_by_user():
     """BYOM submitters can see approved servers they submitted without allow_all_keys."""

From 3ea65e761ee2f021e967c87202267cd4d70ff3f2 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 16:30:06 -0700
Subject: [PATCH 155/223] test(guardrails): cover Responses and Messages
 pipeline tool-call delivery

---
 .../proxy_logging/test_guardrail_pipeline.py  | 104 ++++++++++++++++++
 1 file changed, 104 insertions(+)

diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index f753d2ab690..bf71780ad7b 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -25,6 +25,7 @@ from litellm.integrations.custom_guardrail import (
     ModifyResponseException,
 )
 from litellm.integrations.prometheus import PrometheusLogger
+from litellm.llms.base_llm.guardrail_translation.utils import stream_item_field
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.common_utils.callback_utils import add_guardrail_to_applied_guardrails_header
 from litellm.proxy.utils import ProxyLogging, _streamable_post_call_pipelines
@@ -2185,3 +2186,106 @@ async def test_per_chunk_streaming_hook_runs_guardrail_whose_pipeline_cannot_str
     assert result is not None
     assert seen["count"] == 1
     assert seen["response"] == "hello "
+
+
+def _mask_tool_call_arguments(inputs: Dict[str, Any]) -> Dict[str, Any]:
+    return {
+        "tool_calls": [
+            {
+                "id": stream_item_field(tool_call, "id"),
+                "type": "function",
+                "function": {
+                    "name": stream_item_field(stream_item_field(tool_call, "function"), "name"),
+                    "arguments": '{"fruit": "[MASKED]"}',
+                },
+            }
+            for tool_call in inputs.get("tool_calls", [])
+        ]
+    }
+
+
+def _anthropic_tool_use_sse_chunks() -> List[bytes]:
+    events = [
+        ("message_start", {"type": "message_start", "message": {"id": "msg_1", "type": "message", "role": "assistant", "model": "m", "content": [], "stop_reason": None, "usage": {"input_tokens": 1, "output_tokens": 0}}}),
+        ("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "tool_use", "id": "toolu_1", "name": "lookup_fruit", "input": {}}}),
+        ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "input_json_delta", "partial_json": '{"fruit": "persim'}}),
+        ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "input_json_delta", "partial_json": 'mon"}'}}),
+        ("content_block_stop", {"type": "content_block_stop", "index": 0}),
+        ("message_delta", {"type": "message_delta", "delta": {"stop_reason": "tool_use", "stop_sequence": None}, "usage": {"output_tokens": 2}}),
+        ("message_stop", {"type": "message_stop"}),
+    ]
+    return [f"event: {name}\ndata: {json.dumps(payload)}\n\n".encode() for name, payload in events]
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_delivers_tool_use_rewrite_on_anthropic_sse(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(_mask_tool_call_arguments)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    delivered = [
+        item
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/messages"),
+            response=_async_chunk_iter(_anthropic_tool_use_sse_chunks()),
+            request_data=data,
+        )
+    ]
+
+    raw = b"".join(delivered).decode()
+    assert '{\\"fruit\\": \\"[MASKED]\\"}' in raw
+    assert "persim" not in raw
+    assert '"name": "lookup_fruit"' in raw and '"id": "toolu_1"' in raw
+    assert '"stop_reason": "tool_use"' in raw
+    assert raw.count("event: content_block_delta") == 2
+
+
+def _responses_function_call_events() -> List[Dict[str, Any]]:
+    def item(arguments: str, status: str) -> Dict[str, Any]:
+        return {
+            "type": "function_call",
+            "id": "fc_1",
+            "call_id": "call_1",
+            "name": "lookup_fruit",
+            "arguments": arguments,
+            "status": status,
+        }
+
+    return [
+        {"type": "response.output_item.added", "output_index": 0, "item": item("", "in_progress")},
+        {"type": "response.function_call_arguments.delta", "item_id": "fc_1", "output_index": 0, "delta": '{"fruit":'},
+        {"type": "response.function_call_arguments.delta", "item_id": "fc_1", "output_index": 0, "delta": ' "persimmon"}'},
+        {"type": "response.function_call_arguments.done", "item_id": "fc_1", "output_index": 0, "arguments": '{"fruit": "persimmon"}'},
+        {"type": "response.output_item.done", "output_index": 0, "item": item('{"fruit": "persimmon"}', "completed")},
+        {
+            "type": "response.completed",
+            "response": {"id": "resp_1", "created_at": 1, "model": "m", "output": [item('{"fruit": "persimmon"}', "completed")], "status": "completed"},
+        },
+    ]
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_delivers_function_call_rewrite_on_responses_events(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(_mask_tool_call_arguments)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    delivered = [
+        item
+        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+            user_api_key_dict=make_user_api_key_auth(request_route="/v1/responses"),
+            response=_async_chunk_iter(_responses_function_call_events()),
+            request_data=data,
+        )
+    ]
+
+    assert [event["type"] for event in delivered] == [event["type"] for event in _responses_function_call_events()]
+    assert [event["delta"] for event in delivered if event["type"] == "response.function_call_arguments.delta"] == ['{"fruit": "[MASKED]"}', ""]
+    assert delivered[3]["arguments"] == '{"fruit": "[MASKED]"}'
+    assert delivered[4]["item"]["arguments"] == '{"fruit": "[MASKED]"}'
+    assert delivered[5]["response"]["output"][0]["arguments"] == '{"fruit": "[MASKED]"}'
+    assert "persimmon" not in json.dumps(delivered)

From 7a6c0cbf08d9c564697c4df7d70d661b0e6241b9 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 16:43:28 -0700
Subject: [PATCH 156/223] fix(spend-tracking): drop the owner of a digest
 shared by several users and back off failed scans

---
 .../spend_tracking/key_metadata_recovery.py   | 54 +++++++++++--------
 .../test_key_metadata_recovery.py             | 49 +++++++++++++++--
 2 files changed, 79 insertions(+), 24 deletions(-)

diff --git a/litellm/proxy/spend_tracking/key_metadata_recovery.py b/litellm/proxy/spend_tracking/key_metadata_recovery.py
index 319050b87cd..d555da99397 100644
--- a/litellm/proxy/spend_tracking/key_metadata_recovery.py
+++ b/litellm/proxy/spend_tracking/key_metadata_recovery.py
@@ -38,20 +38,23 @@ ORDER BY token, deleted_at DESC
 _SPEND_LOG_ALIAS_SQL: Final = """
 SELECT DISTINCT ON (api_key)
     api_key AS digest,
-    metadata->>'user_api_key_alias' AS key_alias,
-    COALESCE(NULLIF(team_id, ''), metadata->>'user_api_key_team_id') AS team_id,
-    COALESCE(NULLIF("user", ''), metadata->>'user_api_key_user_id') AS user_id
-FROM "LiteLLM_SpendLogs"
-WHERE api_key = ANY($1::text[])
-  AND "startTime" >= $2::timestamp
-  AND "startTime" < $3::timestamp
-  AND COALESCE(
-        metadata->>'user_api_key_alias',
-        NULLIF("user", ''),
-        metadata->>'user_api_key_user_id',
-        NULLIF(team_id, ''),
-        metadata->>'user_api_key_team_id'
-      ) IS NOT NULL
+    key_alias,
+    team_id,
+    user_id,
+    MIN(user_id) OVER (PARTITION BY api_key) AS first_owner,
+    MAX(user_id) OVER (PARTITION BY api_key) AS last_owner
+FROM (
+    SELECT api_key,
+        "startTime",
+        NULLIF(metadata->>'user_api_key_alias', '') AS key_alias,
+        COALESCE(NULLIF(team_id, ''), NULLIF(metadata->>'user_api_key_team_id', '')) AS team_id,
+        COALESCE(NULLIF("user", ''), NULLIF(metadata->>'user_api_key_user_id', '')) AS user_id
+    FROM "LiteLLM_SpendLogs"
+    WHERE api_key = ANY($1::text[])
+      AND "startTime" >= $2::timestamp
+      AND "startTime" < $3::timestamp
+) named
+WHERE COALESCE(key_alias, user_id, team_id) IS NOT NULL
 ORDER BY api_key, "startTime" DESC
 """
 
@@ -72,7 +75,16 @@ class _TokenDigestRow(BaseModel):
     user_id: str | None = None
 
 
+class _SpendLogDigestRow(_TokenDigestRow):
+    first_owner: str | None = None
+    last_owner: str | None = None
+
+    def unanimous_owner(self) -> str | None:
+        return self.user_id if self.first_owner == self.last_owner else None
+
+
 _TOKEN_DIGEST_ROWS: Final = TypeAdapter(tuple[_TokenDigestRow, ...])
+_SPEND_LOG_DIGEST_ROWS: Final = TypeAdapter(tuple[_SpendLogDigestRow, ...])
 _CACHED_KEY_METADATA: Final = TypeAdapter(KeyMetadataDict)
 _SPEND_LOG_METADATA_CACHE: Final = InMemoryCache(
     max_size_in_memory=SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS,
@@ -235,9 +247,10 @@ async def _query_spend_log_metadata(
         return None
     return MappingProxyType(
         {
-            row.digest: KeyMetadataDict(key_alias=row.key_alias, team_id=row.team_id, user_id=row.user_id)
-            for row in _TOKEN_DIGEST_ROWS.validate_python(rows)
-            if row.digest in digests and (row.key_alias or row.user_id or row.team_id)
+            row.digest: KeyMetadataDict(key_alias=row.key_alias, team_id=row.team_id, user_id=owner)
+            for row in _SPEND_LOG_DIGEST_ROWS.validate_python(rows)
+            for owner in (row.unanimous_owner(),)
+            if row.digest in digests and (row.key_alias or owner or row.team_id)
         }
     )
 
@@ -270,11 +283,10 @@ async def _spend_log_metadata_one_query_at_a_time(
         fresh: Final = (
             await _query_spend_log_metadata(prisma_client, pending, window) if pending else _EMPTY_KEY_METADATA
         )
-        if fresh is None:
-            return settled
+        found: Final = fresh if fresh is not None else _EMPTY_KEY_METADATA
         for digest in pending:
-            _remember_spend_log_metadata(cache, digest, window, fresh.get(digest))
-        return MappingProxyType({**settled, **fresh})
+            _remember_spend_log_metadata(cache, digest, window, found.get(digest))
+        return MappingProxyType({**settled, **found})
 
 
 async def recover_key_metadata_from_spend_logs(
diff --git a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
index 5b45777502a..682b11f5bb7 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
@@ -386,20 +386,63 @@ async def test_recover_key_metadata_from_spend_logs_rescans_when_the_window_chan
 
 
 @pytest.mark.asyncio
-async def test_recover_key_metadata_from_spend_logs_does_not_cache_a_failed_query():
+async def test_recover_key_metadata_from_spend_logs_retries_a_failed_query_only_after_the_miss_ttl():
     digest = hash_token("cli-session-retry")
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
-    cache = InMemoryCache()
+    cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL)
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = AsyncMock(side_effect=PrismaError("db down"))
+    mock_prisma.db.query_raw = AsyncMock(side_effect=PrismaError("statement timeout"))
+    started = time.time()
     assert await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache) == {}
     mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(digest, "back-online", None, None)])
 
+    assert await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache) == {}
+    mock_prisma.db.query_raw.assert_not_awaited()
+    miss_key = next(key for key in cache.ttl_dict if digest in key and not key.endswith(":missed-before"))
+    assert cache.ttl_dict[miss_key] - started <= SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL + 1
+    cache.ttl_dict[miss_key] = time.time() - 1
+
     result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache)
 
     assert result[digest]["key_alias"] == "back-online"
 
 
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_drops_the_owner_of_a_digest_shared_by_several_users():
+    shared_ui_digest = hash_token("ui-token")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs(
+        [
+            {
+                **_digest_row(shared_ui_digest, "ui-token", "litellm-dashboard", "bob"),
+                "first_owner": "alice",
+                "last_owner": "bob",
+            }
+        ]
+    )
+
+    result = await recover_key_metadata_from_spend_logs(
+        mock_prisma, {shared_ui_digest}, window, cache=InMemoryCache()
+    )
+
+    assert result[shared_ui_digest] == {"key_alias": "ui-token", "team_id": "litellm-dashboard", "user_id": None}
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_keeps_the_owner_when_every_named_row_agrees():
+    digest = hash_token("cli-session-one-owner")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    mock_prisma.db.query_raw = _query_raw_spend_logs(
+        [{**_digest_row(digest, None, None, "carol"), "first_owner": "carol", "last_owner": "carol"}]
+    )
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache())
+
+    assert result[digest]["user_id"] == "carol"
+
+
 @pytest.mark.asyncio
 async def test_recover_key_metadata_from_spend_logs_forgets_a_miss_long_before_a_hit():
     found = hash_token("cli-session-found")

From 253600fc6144747c1ffd954c3ebdfadd686adc2e Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 16:52:56 -0700
Subject: [PATCH 157/223] test: wait for requested guardrail propagation

---
 tests/e2e/guardrails/guardrails_client.py     | 22 ++++++-
 .../e2e/guardrails/test_guardrails_client.py  | 63 +++++++++++++++++++
 .../test_tool_permission_guardrail_e2e.py     | 24 ++++---
 3 files changed, 98 insertions(+), 11 deletions(-)
 create mode 100644 tests/e2e/guardrails/test_guardrails_client.py

diff --git a/tests/e2e/guardrails/guardrails_client.py b/tests/e2e/guardrails/guardrails_client.py
index 1f55a0f9a56..3770de0c6d5 100644
--- a/tests/e2e/guardrails/guardrails_client.py
+++ b/tests/e2e/guardrails/guardrails_client.py
@@ -7,7 +7,7 @@ from __future__ import annotations
 import time
 from collections.abc import Callable
 from dataclasses import dataclass
-from typing import Literal
+from typing import Final, Literal
 
 from e2e_config import POLL_INTERVAL, POLL_TIMEOUT, settle_propagation, unique_marker
 from e2e_http import NoBody, Result, StreamingResponse, Success, unwrap
@@ -405,6 +405,26 @@ def build_client(proxy: ProxyClient) -> GuardrailsClient:
     return GuardrailsClient(proxy=proxy)
 
 
+def poll_until_guardrail_applied(
+    call: Callable[[], StreamingResponse],
+    guardrail_name: str,
+    *,
+    timeout: float = POLL_TIMEOUT,
+    interval: float = POLL_INTERVAL,
+    now: Callable[[], float] = time.monotonic,
+    sleep: Callable[[float], None] = time.sleep,
+) -> StreamingResponse:
+    deadline: Final = now() + timeout
+    while (
+        (result := call()).ok
+        and guardrail_name
+        not in (name.strip() for name in result.headers.get("x-litellm-applied-guardrails", "").split(","))
+        and (remaining := deadline - now()) > 0
+    ):
+        sleep(min(interval, remaining))
+    return result
+
+
 def poll_until_blocked[R: BaseModel](call: Callable[[], Result[R]]) -> Result[R]:
     """Retry a call that a guardrail should reject until it is, returning the last result.
 
diff --git a/tests/e2e/guardrails/test_guardrails_client.py b/tests/e2e/guardrails/test_guardrails_client.py
new file mode 100644
index 00000000000..aab163d86d2
--- /dev/null
+++ b/tests/e2e/guardrails/test_guardrails_client.py
@@ -0,0 +1,63 @@
+from dataclasses import dataclass
+from itertools import chain, repeat
+from typing import Final
+
+import pytest
+
+from e2e_http import StreamingResponse
+from guardrails_client import poll_until_guardrail_applied
+
+
+@dataclass
+class Clock:
+    elapsed: float = 0.0
+
+    def now(self) -> float:
+        return self.elapsed
+
+    def sleep(self, seconds: float) -> None:
+        self.elapsed += seconds
+
+
+def _response(applied: str, status: int = 200) -> StreamingResponse:
+    return StreamingResponse(status_code=status, body="{}", headers={"x-litellm-applied-guardrails": applied})
+
+
+def test_waits_for_requested_guardrail_after_an_unrelated_global_guardrail() -> None:
+    clock: Final = Clock()
+    expected: Final = _response("global-filter, tool-permission")
+    responses: Final = iter((_response("global-filter"), expected))
+
+    result: Final = poll_until_guardrail_applied(
+        lambda: next(responses), "tool-permission", timeout=5, interval=2, now=clock.now, sleep=clock.sleep
+    )
+
+    assert result is expected
+    assert clock.elapsed == 2
+
+
+@pytest.mark.parametrize("applied", ("", "global-filter", "tool-permission-sibling"))
+def test_missing_exact_guardrail_returns_failure_evidence_at_deadline(applied: str) -> None:
+    clock: Final = Clock()
+    missing: Final = _response(applied)
+
+    result: Final = poll_until_guardrail_applied(
+        lambda: missing, "tool-permission", timeout=5, interval=2, now=clock.now, sleep=clock.sleep
+    )
+
+    assert result is missing
+    assert clock.elapsed == 5
+
+
+@pytest.mark.parametrize("status", (400, 401, 429, 500))
+def test_http_failure_is_not_hidden_by_a_later_success(status: int) -> None:
+    clock: Final = Clock()
+    failed: Final = _response("", status)
+    responses: Final = iter(chain((failed,), repeat(_response("tool-permission"))))
+
+    result: Final = poll_until_guardrail_applied(
+        lambda: next(responses), "tool-permission", timeout=5, interval=2, now=clock.now, sleep=clock.sleep
+    )
+
+    assert result is failed
+    assert clock.elapsed == 0
diff --git a/tests/e2e/guardrails/test_tool_permission_guardrail_e2e.py b/tests/e2e/guardrails/test_tool_permission_guardrail_e2e.py
index 9ef3650625c..8d1047e53c7 100644
--- a/tests/e2e/guardrails/test_tool_permission_guardrail_e2e.py
+++ b/tests/e2e/guardrails/test_tool_permission_guardrail_e2e.py
@@ -30,6 +30,7 @@ from guardrails_client import (
     ToolPermissionParamsBody,
     ToolPermissionRuleBody,
     poll_until_blocked,
+    poll_until_guardrail_applied,
 )
 from lifecycle import ResourceManager
 from models import ChatResponse, ChatTool, ChatToolFunction
@@ -84,8 +85,8 @@ def _register_tool_permission(client: GuardrailsClient, resources: ResourceManag
     resources.defer(lambda: client.delete_guardrail(guardrail_id))
 
 
-def _applied_guardrails(outcome: StreamingResponse) -> str:
-    return outcome.headers.get("x-litellm-applied-guardrails", "")
+def _applied_guardrails(outcome: StreamingResponse) -> tuple[str, ...]:
+    return tuple(name.strip() for name in outcome.headers.get("x-litellm-applied-guardrails", "").split(","))
 
 
 def _tool_call_names(response: ChatResponse) -> tuple[str, ...]:
@@ -144,14 +145,17 @@ class TestToolPermissionPreCall:
         name = f"e2e-toolperm-allow-{unique_marker()}"
         _register_tool_permission(client, resources, name=name)
 
-        outcome = client.chat_raw(
-            scoped_key,
-            MODEL,
-            TOOL_PROMPT,
-            guardrails=[name],
-            max_tokens=128,
-            tools=[ALLOWED_TOOL],
-            tool_choice="required",
+        outcome = poll_until_guardrail_applied(
+            lambda: client.chat_raw(
+                scoped_key,
+                MODEL,
+                TOOL_PROMPT,
+                guardrails=[name],
+                max_tokens=128,
+                tools=[ALLOWED_TOOL],
+                tool_choice="required",
+            ),
+            name,
         )
 
         assert outcome.ok, f"the permitted tool must be served, got {outcome.status_code}: {outcome.body[:400]}"

From 9d7e09e4e8f6463516af1c0a5844d4a5dc7c2c55 Mon Sep 17 00:00:00 2001
From: moe-berri <moe@berri.ai>
Date: Tue, 8 Sep 2026 16:53:52 -0700
Subject: [PATCH 158/223] fix(ui): release the plan-mode floor when the
 non-reasoning tier is cleared

Turning the tier off, or switching to a classifier that cannot emit it, dropped
the flag and the pool but left plan_mode_min_tier naming a tier that is no longer
active. The backend rejects that on save, and the switch is disabled after a
classifier change, so the operator had no way to clear it.

Both paths now release the floor when it points at the cleared tier. An orphaned
keyword rule is left alone on purpose: getKeywordTierRulesError already names it
at the save gate, which is how a removed custom tier behaves.
---
 .../add_model/NonReasoningTierToggle.tsx      | 15 ++++++++----
 .../add_model/nonReasoningTierFields.test.ts  | 19 +++++++++++++++
 .../add_model/nonReasoningTierFields.ts       | 24 +++++++++++++++----
 3 files changed, 48 insertions(+), 10 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
index caadd79039d..5ca0d5517af 100644
--- a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx
@@ -12,11 +12,16 @@ const NonReasoningTierToggle: React.FC<{
 }> = ({ value, onChange, available }) => {
   const handleToggle = (enabled: boolean): void => {
     const { NON_REASONING: existingPool, ...keptTiers } = value.tiers;
-    const next: ComplexityRouterConfigValue = {
-      ...value,
-      enable_non_reasoning_tier: enabled ? true : undefined,
-      tiers: enabled ? { ...keptTiers, NON_REASONING: existingPool ?? [] } : keptTiers,
-    };
+    // Turning it off must also release the plan-mode floor, which the backend rejects while it
+    // names an inactive tier. An orphaned keyword rule is left for the save gate to name.
+    const next: ComplexityRouterConfigValue = enabled
+      ? { ...value, enable_non_reasoning_tier: true, tiers: { ...keptTiers, NON_REASONING: existingPool ?? [] } }
+      : {
+          ...value,
+          enable_non_reasoning_tier: undefined,
+          tiers: keptTiers,
+          plan_mode_min_tier: value.plan_mode_min_tier === "NON_REASONING" ? undefined : value.plan_mode_min_tier,
+        };
     onChange(next);
   };
 
diff --git a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts
index 3f986d57dd9..c09c859ac27 100644
--- a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts
+++ b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts
@@ -50,3 +50,22 @@ describe("nonReasoningTierFields", () => {
     });
   });
 });
+
+describe("stale references to the cleared tier", () => {
+  const withFloorOnTierZero: ComplexityRouterConfigValue = { ...enabledValue, plan_mode_min_tier: "NON_REASONING" };
+
+  it("releases a plan-mode floor pointing at the tier it just cleared", () => {
+    // The backend rejects a floor naming an inactive tier, and the switch is disabled once the
+    // classifier changes, so a floor left behind is a config the operator cannot save or undo.
+    expect(nonReasoningTierFields("heuristic", withFloorOnTierZero).plan_mode_min_tier).toBeUndefined();
+  });
+
+  it("leaves a floor on another tier alone", () => {
+    const floorOnComplex: ComplexityRouterConfigValue = { ...enabledValue, plan_mode_min_tier: "COMPLEX" };
+    expect(nonReasoningTierFields("heuristic", floorOnComplex).plan_mode_min_tier).toBe("COMPLEX");
+  });
+
+  it("keeps the floor while the classifier can still emit the tier", () => {
+    expect(nonReasoningTierFields("llm", withFloorOnTierZero).plan_mode_min_tier).toBe("NON_REASONING");
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts
index 2ea7a3f3b97..92a665a199c 100644
--- a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts
+++ b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts
@@ -1,14 +1,28 @@
 import type { ClassifierType, ComplexityRouterConfigValue } from "./ComplexityRouterConfig";
 
+const NON_REASONING = "NON_REASONING";
+
 /** The NON_REASONING keys a classifier switch carries forward, or clears for a classifier that
- * cannot emit the tier. Leaving them set there is a config the backend refuses on save. */
+ * cannot emit the tier. Leaving them set there is a config the backend refuses on save. The floor
+ * goes with them: it is rejected on save while it names an inactive tier, and the switch is
+ * disabled once the classifier changes, so the operator could not clear it themselves.
+ * An orphaned keyword rule is left for getKeywordTierRulesError to name, matching how a removed
+ * custom tier already behaves. */
 export const nonReasoningTierFields = (
   classifierType: ClassifierType,
   value: ComplexityRouterConfigValue,
-): Pick<ComplexityRouterConfigValue, "enable_non_reasoning_tier" | "tiers"> => {
+): Pick<ComplexityRouterConfigValue, "enable_non_reasoning_tier" | "tiers" | "plan_mode_min_tier"> => {
   if (classifierType === "llm") {
-    return { enable_non_reasoning_tier: value.enable_non_reasoning_tier, tiers: value.tiers };
+    return {
+      enable_non_reasoning_tier: value.enable_non_reasoning_tier,
+      tiers: value.tiers,
+      plan_mode_min_tier: value.plan_mode_min_tier,
+    };
   }
-  const { NON_REASONING: _cleared, ...keptTiers } = value.tiers;
-  return { enable_non_reasoning_tier: undefined, tiers: keptTiers };
+  const { [NON_REASONING]: _cleared, ...tiers } = value.tiers;
+  return {
+    enable_non_reasoning_tier: undefined,
+    tiers,
+    plan_mode_min_tier: value.plan_mode_min_tier === NON_REASONING ? undefined : value.plan_mode_min_tier,
+  };
 };

From 9cb5d9b76c0c6b6e7a20e852e9673c9ea410c3f3 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 16:55:19 -0700
Subject: [PATCH 159/223] fix(proxy): gate streaming pipelines on a
 route-resolved guardrail translation

The per-chunk hook skipped pipeline-managed guardrails whenever the request
route was empty, while the gated stream could still fail to resolve a
translation and release the buffered stream ungoverned. The gate now needs a
translation resolved from the route, the iterator hook resolves it once and
hands it to the gated stream, and the ungoverned release branch is gone.
---
 litellm/proxy/utils.py                        | 27 ++++------
 .../proxy_logging/test_guardrail_pipeline.py  | 53 +++++++++++++++----
 2 files changed, 54 insertions(+), 26 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index c38eb900a05..37d077d607c 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -192,6 +192,7 @@ if TYPE_CHECKING:
     from prisma.types import HttpConfig
 
     from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
+    from litellm.llms.base_llm.guardrail_translation.base_translation import BaseTranslation
     from litellm.models.team import LiteLLM_TeamTableCachedObj
     from litellm.proxy.db.autorouter_session_rollup import AutoRouterTurnTransaction
     from litellm.proxy.db.spend_log_tool_index import ToolUsageTransaction
@@ -559,7 +560,7 @@ def _pipeline_is_streamable(policy_name: str, pipeline: "GuardrailPipeline") ->
 
 
 def _route_supports_streaming_pipelines(user_api_key_dict: UserAPIKeyAuth) -> bool:
-    return not user_api_key_dict.request_route or resolve_endpoint_translation(user_api_key_dict, None) is not None
+    return resolve_endpoint_translation(user_api_key_dict, None) is not None
 
 
 def _stream_gated_guardrail_names(
@@ -3435,12 +3436,16 @@ class ProxyLogging:
                     ),
                 )
 
-        if post_call_pipelines:
+        pipeline_translation: Final = (
+            resolve_endpoint_translation(user_api_key_dict, None) if post_call_pipelines else None
+        )
+        if pipeline_translation is not None:
             current_response = self._pipeline_gated_stream(
                 response=current_response,
                 user_api_key_dict=user_api_key_dict,
                 request_data=request_data,
                 pipelines=post_call_pipelines,
+                translation=pipeline_translation,
             )
 
         try:
@@ -3464,6 +3469,7 @@ class ProxyLogging:
         user_api_key_dict: UserAPIKeyAuth,
         request_data: dict,  # mutable-ok: same request-payload shape the hooks mutate
         pipelines: "tuple[tuple[str, GuardrailPipeline], ...]",
+        translation: "tuple[str, BaseTranslation]",
     ) -> "AsyncGenerator[Any, None]":
         """
         Execute post_call policy pipelines against a streamed response.
@@ -3478,9 +3484,8 @@ class ProxyLogging:
         rewritten chunks, so rewrites chain). A rewrite the translation cannot
         deliver yet (one on a route without write-back, or a shape the route
         refuses) is discarded by the executor and the original chunks are
-        released, as is a buffered shape no translation resolves; a block or
-        modify_response terminates with the translation's block chunks or the
-        raised error.
+        released; a block or modify_response terminates with the translation's
+        block chunks or the raised error.
         """
         buffered: Final[list[object]] = []  # mutable-ok: accumulates the stream before the pipeline verdict
         async for item in response:
@@ -3488,17 +3493,7 @@ class ProxyLogging:
         if not buffered:
             return
 
-        resolved: Final = resolve_endpoint_translation(user_api_key_dict, buffered[0])
-        if resolved is None:
-            verbose_proxy_logger.warning(
-                "Policies with post_call guardrail pipelines cannot scan this streaming response shape yet; "
-                "the stream is released ungoverned by them: %s",
-                ", ".join(policy_name for policy_name, _pipeline in pipelines),
-            )
-            for buffered_item in buffered:
-                yield buffered_item
-            return
-        call_type, endpoint_translation = resolved
+        call_type, endpoint_translation = translation
 
         for policy_name, pipeline in pipelines:
             result: PipelineExecutionResult = await PipelineExecutor.execute_steps(
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index bf71780ad7b..3b59bbac3fd 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1969,28 +1969,61 @@ async def test_streaming_iterator_hook_pipeline_releases_stream_echoed_in_anothe
 
 
 @pytest.mark.asyncio
-async def test_streaming_iterator_hook_pipeline_releases_originals_on_unresolvable_response_shape(
+async def test_streaming_iterator_hook_skips_pipeline_and_warns_without_request_route(
     proxy_logging, make_user_api_key_auth, monkeypatch, caplog
 ):
     seen: Dict[str, Any] = {}
     monkeypatch.setattr(litellm, "callbacks", [_unified_stream_guardrail(seen)])
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     data = _post_call_pipeline_data(stream=True)
-    chunks = [object(), object()]
-    delivered: List[Any] = []
+    chunks = _stream_chunks()
 
     with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
-        async for item in proxy_logging.async_post_call_streaming_iterator_hook(
-            user_api_key_dict=make_user_api_key_auth(),
-            response=_async_chunk_iter(chunks),
-            request_data=data,
-        ):
-            delivered.append(item)
+        delivered = [
+            item
+            async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+                user_api_key_dict=make_user_api_key_auth(),
+                response=_async_chunk_iter(chunks),
+                request_data=data,
+            )
+        ]
 
     assert [item is chunk for item, chunk in zip(delivered, chunks)] == [True, True]
     assert len(delivered) == 2
     assert seen.get("count") is None
-    assert any("response-governance" in message and "shape" in message for message in _warnings(caplog))
+    assert any("response-governance" in message and "route None" in message for message in _warnings(caplog))
+
+
+@pytest.mark.asyncio
+async def test_per_chunk_streaming_hook_runs_pipeline_managed_guardrail_without_request_route(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
+    seen: Dict[str, Any] = {}
+
+    class UnifiedRecordingGuardrail(CustomGuardrail):
+        async def async_post_call_streaming_hook(self, user_api_key_dict, response):
+            seen[self.guardrail_name] = seen.get(self.guardrail_name, 0) + 1
+            return None
+
+        async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+            return inputs
+
+    monkeypatch.setattr(
+        litellm,
+        "callbacks",
+        [UnifiedRecordingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=True)],
+    )
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    result = await proxy_logging.async_post_call_streaming_hook(
+        data=data,
+        response=_stream_chunks()[0],
+        user_api_key_dict=make_user_api_key_auth(),
+    )
+
+    assert result is not None
+    assert seen["gr-post"] == 1
 
 
 def _anthropic_sse_chunks() -> List[bytes]:

From 075655c7eede921e176a4772ac6d53e119ff9c28 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 16:55:40 -0700
Subject: [PATCH 160/223] test(azure_sentinel): pin batch_size as a per-request
 bound under concurrent events (#40320)

* test(azure_sentinel): pin batch_size as a per-request bound under concurrent events

Adds a regression test to the mapped Azure Sentinel test file for the concurrency scenario from LIT-6920: 40 records logged concurrently at batch_size=5 while each ingestion request is still in flight. Asserts no request carries more than batch_size records, every record arrives exactly once in order, and the queue is empty afterwards. Runs for both the standard log queue and the audit log queue.

The test fails on the tree before #39880 (whole shared queue serialized per threshold send, then cleared) and passes on current staging. It is independent of the size-split coverage that #39880 added for LIT-5899.

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(azure_sentinel): gate the first send on events so later records provably arrive while it is in flight

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../integrations/test_azure_sentinel.py       | 39 +++++++++++++++++++
 1 file changed, 39 insertions(+)

diff --git a/tests/test_litellm/integrations/test_azure_sentinel.py b/tests/test_litellm/integrations/test_azure_sentinel.py
index 038197c06c5..ecb7afd4ffb 100644
--- a/tests/test_litellm/integrations/test_azure_sentinel.py
+++ b/tests/test_litellm/integrations/test_azure_sentinel.py
@@ -867,6 +867,45 @@ async def test_azure_sentinel_concurrent_threshold_sends_collapse_into_one_attem
     assert getattr(logger, queue_attr) == []
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("queue_attr, send_method, build_payloads", QUEUE_CASES)
+async def test_azure_sentinel_batch_size_bounds_every_request_under_concurrent_events(
+    queue_attr, send_method, build_payloads
+):
+    """Lowering batch_size is the documented way to stay under the ingestion cap, so no request may
+    carry more than batch_size records even when events keep landing while a send is on the wire,
+    and every one of those records still has to arrive exactly once."""
+    logger = _build_logger(batch_size=5)
+    records = build_payloads(40)
+
+    attempts = []
+    first_send_started = asyncio.Event()
+    release_first_send = asyncio.Event()
+
+    async def _on_ingest(data):
+        attempts.append([record["id"] for record in json.loads(data.decode("utf-8"))])
+        if len(attempts) == 1:
+            first_send_started.set()
+            await release_first_send.wait()
+        return _accepted()
+
+    _install_ingestion(logger, _on_ingest)
+
+    sends = [asyncio.create_task(_log(logger, queue_attr, record)) for record in records]
+    await asyncio.wait_for(first_send_started.wait(), timeout=10)
+
+    assert attempts == [[record["id"] for record in records[:5]]]
+    assert getattr(logger, queue_attr) == records[5:]
+
+    release_first_send.set()
+    await asyncio.wait_for(asyncio.gather(*sends), timeout=10)
+    await logger.flush_queue()
+
+    assert max(len(attempt) for attempt in attempts) <= 5
+    assert [record_id for attempt in attempts for record_id in attempt] == [record["id"] for record in records]
+    assert getattr(logger, queue_attr) == []
+
+
 @pytest.mark.asyncio
 @pytest.mark.parametrize("queue_attr, send_method, build_payloads", QUEUE_CASES)
 async def test_azure_sentinel_requeues_a_cancelled_send(

From 88d2d775534457b3397c9332ca968b7a8707a161 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 16:59:55 -0700
Subject: [PATCH 161/223] feat(hosted_vllm): add image edit support

Register a HostedVLLMImageEditConfig so hosted_vllm/<model> deployments route POST /v1/images/edits to the vLLM-Omni OpenAI-compatible endpoint instead of failing with 'image edit is not supported for hosted_vllm' before any request is sent
---
 .../llms/hosted_vllm/image_edit/__init__.py   |   9 ++
 .../hosted_vllm/image_edit/transformation.py  |  42 +++++++
 litellm/utils.py                              |   4 +
 ...t_hosted_vllm_image_edit_transformation.py | 114 ++++++++++++++++++
 4 files changed, 169 insertions(+)
 create mode 100644 litellm/llms/hosted_vllm/image_edit/__init__.py
 create mode 100644 litellm/llms/hosted_vllm/image_edit/transformation.py
 create mode 100644 tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py

diff --git a/litellm/llms/hosted_vllm/image_edit/__init__.py b/litellm/llms/hosted_vllm/image_edit/__init__.py
new file mode 100644
index 00000000000..27e005e8a0d
--- /dev/null
+++ b/litellm/llms/hosted_vllm/image_edit/__init__.py
@@ -0,0 +1,9 @@
+from litellm.llms.base_llm.image_edit.transformation import BaseImageEditConfig
+
+from .transformation import HostedVLLMImageEditConfig
+
+__all__ = ("HostedVLLMImageEditConfig",)
+
+
+def get_hosted_vllm_image_edit_config(model: str) -> BaseImageEditConfig:
+    return HostedVLLMImageEditConfig()
diff --git a/litellm/llms/hosted_vllm/image_edit/transformation.py b/litellm/llms/hosted_vllm/image_edit/transformation.py
new file mode 100644
index 00000000000..bd27c962da8
--- /dev/null
+++ b/litellm/llms/hosted_vllm/image_edit/transformation.py
@@ -0,0 +1,42 @@
+"""Image edits for Hosted VLLM (vLLM-Omni OpenAI-compatible /v1/images/edits)."""
+
+from typing import Final
+
+from litellm.llms.openai.image_edit.transformation import OpenAIImageEditConfig
+from litellm.secret_managers.main import get_secret_str
+
+
+class HostedVLLMImageEditConfig(OpenAIImageEditConfig):
+    """
+    vLLM-Omni images edits API follows the OpenAI multipart contract.
+
+    https://docs.vllm.ai/projects/vllm-omni/en/latest/serving/images_api/
+    """
+
+    def validate_environment(
+        self,
+        headers: dict,  # mutable-ok: BaseImageEditConfig contract
+        model: str,
+        api_key: str | None = None,
+        litellm_params: dict | None = None,  # mutable-ok: BaseImageEditConfig contract
+        api_base: str | None = None,
+    ) -> dict:  # mutable-ok: BaseImageEditConfig contract
+        resolved_key: Final = api_key or get_secret_str("HOSTED_VLLM_API_KEY") or "fake-api-key"
+        return {**headers, "Authorization": f"Bearer {resolved_key}"}  # mutable-ok: httpx headers are a dict
+
+    def get_complete_url(
+        self,
+        model: str,
+        api_base: str | None,
+        litellm_params: dict,  # mutable-ok: BaseImageEditConfig contract
+    ) -> str:
+        resolved_api_base: Final = api_base or get_secret_str("HOSTED_VLLM_API_BASE")
+        if resolved_api_base is None:
+            raise ValueError(
+                "api_base not set for Hosted VLLM images edits API. "
+                "Set via api_base parameter or HOSTED_VLLM_API_BASE environment variable"
+            )
+        trimmed: Final = resolved_api_base.rstrip("/")
+        if trimmed.endswith("/v1"):
+            return f"{trimmed}/images/edits"
+        return f"{trimmed}/v1/images/edits"
diff --git a/litellm/utils.py b/litellm/utils.py
index 141ec323776..0f2b2f9042d 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -9239,6 +9239,10 @@ class ProviderConfigManager:
             from litellm.llms.openai.image_edit import get_openai_image_edit_config
 
             return get_openai_image_edit_config(model=model)
+        if LlmProviders.HOSTED_VLLM == provider:
+            from litellm.llms.hosted_vllm.image_edit import get_hosted_vllm_image_edit_config
+
+            return get_hosted_vllm_image_edit_config(model=model)
         elif LlmProviders.AZURE == provider:
             from litellm.llms.azure.image_edit.transformation import (
                 AzureImageEditConfig,
diff --git a/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py b/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py
new file mode 100644
index 00000000000..e1167b92553
--- /dev/null
+++ b/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py
@@ -0,0 +1,114 @@
+"""Tests for hosted_vllm image edits (vLLM-Omni /v1/images/edits)."""
+
+import httpx
+import pytest
+
+import litellm
+from litellm.llms.custom_httpx.http_handler import HTTPHandler
+from litellm.llms.hosted_vllm.image_edit import get_hosted_vllm_image_edit_config
+from litellm.llms.hosted_vllm.image_edit.transformation import HostedVLLMImageEditConfig
+from litellm.types.utils import LlmProviders
+from litellm.utils import ProviderConfigManager
+
+PNG_BYTES = b"\x89PNG\r\n\x1a\nfakepng"
+MODEL = "Qwen/Qwen-Image-Edit-2511"
+
+
+@pytest.fixture(autouse=True)
+def _clear_hosted_vllm_env(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.delenv("HOSTED_VLLM_API_KEY", raising=False)
+    monkeypatch.delenv("HOSTED_VLLM_API_BASE", raising=False)
+
+
+def test_provider_config_registration():
+    config = ProviderConfigManager.get_provider_image_edit_config(
+        model=f"hosted_vllm/{MODEL}",
+        provider=LlmProviders.HOSTED_VLLM,
+    )
+
+    assert isinstance(config, HostedVLLMImageEditConfig)
+    assert isinstance(get_hosted_vllm_image_edit_config(MODEL), HostedVLLMImageEditConfig)
+
+
+@pytest.mark.parametrize(
+    "api_base",
+    ["http://localhost:8091", "http://localhost:8091/", "http://localhost:8091/v1", "http://localhost:8091/v1/"],
+)
+def test_get_complete_url_appends_images_edits(api_base: str):
+    config = HostedVLLMImageEditConfig()
+
+    assert (
+        config.get_complete_url(model=MODEL, api_base=api_base, litellm_params={})
+        == "http://localhost:8091/v1/images/edits"
+    )
+
+
+def test_get_complete_url_falls_back_to_env(monkeypatch: pytest.MonkeyPatch):
+    monkeypatch.setenv("HOSTED_VLLM_API_BASE", "http://vllm-omni:8000/v1")
+    config = HostedVLLMImageEditConfig()
+
+    assert (
+        config.get_complete_url(model=MODEL, api_base=None, litellm_params={})
+        == "http://vllm-omni:8000/v1/images/edits"
+    )
+
+
+def test_get_complete_url_requires_api_base():
+    config = HostedVLLMImageEditConfig()
+
+    with pytest.raises(ValueError, match="api_base not set"):
+        config.get_complete_url(model=MODEL, api_base=None, litellm_params={})
+
+
+def test_validate_environment_defaults_to_fake_api_key():
+    headers = HostedVLLMImageEditConfig().validate_environment(headers={}, model=MODEL)
+
+    assert headers == {"Authorization": "Bearer fake-api-key"}
+
+
+def test_validate_environment_uses_provided_api_key_and_keeps_headers():
+    headers = HostedVLLMImageEditConfig().validate_environment(
+        headers={"X-Test": "1"},
+        model=MODEL,
+        api_key="my-custom-key",
+    )
+
+    assert headers == {"X-Test": "1", "Authorization": "Bearer my-custom-key"}
+
+
+def test_validate_environment_falls_back_to_env_api_key(monkeypatch: pytest.MonkeyPatch):
+    monkeypatch.setenv("HOSTED_VLLM_API_KEY", "env-key")
+
+    headers = HostedVLLMImageEditConfig().validate_environment(headers={}, model=MODEL)
+
+    assert headers["Authorization"] == "Bearer env-key"
+
+
+def test_image_edit_posts_multipart_to_vllm_omni():
+    captured: list[httpx.Request] = []
+
+    def handler(request: httpx.Request) -> httpx.Response:
+        captured.append(request)
+        return httpx.Response(200, json={"created": 1712697600, "data": [{"b64_json": "aW1n"}]})
+
+    response = litellm.image_edit(
+        model=f"hosted_vllm/{MODEL}",
+        image=PNG_BYTES,
+        prompt="add a hat",
+        api_base="http://localhost:8091",
+        api_key="test-key",
+        client=HTTPHandler(client=httpx.Client(transport=httpx.MockTransport(handler))),
+        seed=42,
+    )
+
+    assert response.data
+    assert len(captured) == 1
+    request = captured[0]
+    assert str(request.url) == "http://localhost:8091/v1/images/edits"
+    assert request.headers["authorization"] == "Bearer test-key"
+    assert request.headers["content-type"].startswith("multipart/form-data")
+    assert b'name="image[]"' in request.content
+    assert PNG_BYTES in request.content
+    assert f'name="model"\r\n\r\n{MODEL}'.encode() in request.content
+    assert b'name="prompt"\r\n\r\nadd a hat' in request.content
+    assert b'name="seed"\r\n\r\n42' in request.content

From b8be30219c5e5dea4343b3a924b89494e7350303 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 17:02:00 -0700
Subject: [PATCH 162/223] test: stop guardrail retries at the polling deadline

---
 tests/e2e/guardrails/guardrails_client.py      | 7 +++++--
 tests/e2e/guardrails/test_guardrails_client.py | 5 ++++-
 2 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/tests/e2e/guardrails/guardrails_client.py b/tests/e2e/guardrails/guardrails_client.py
index 3770de0c6d5..ed112a79b9b 100644
--- a/tests/e2e/guardrails/guardrails_client.py
+++ b/tests/e2e/guardrails/guardrails_client.py
@@ -415,13 +415,16 @@ def poll_until_guardrail_applied(
     sleep: Callable[[float], None] = time.sleep,
 ) -> StreamingResponse:
     deadline: Final = now() + timeout
+    if not (result := call()).ok:
+        return result
     while (
-        (result := call()).ok
-        and guardrail_name
+        guardrail_name
         not in (name.strip() for name in result.headers.get("x-litellm-applied-guardrails", "").split(","))
         and (remaining := deadline - now()) > 0
     ):
         sleep(min(interval, remaining))
+        if now() >= deadline or not (result := call()).ok:
+            break
     return result
 
 
diff --git a/tests/e2e/guardrails/test_guardrails_client.py b/tests/e2e/guardrails/test_guardrails_client.py
index aab163d86d2..423c2ede599 100644
--- a/tests/e2e/guardrails/test_guardrails_client.py
+++ b/tests/e2e/guardrails/test_guardrails_client.py
@@ -40,13 +40,16 @@ def test_waits_for_requested_guardrail_after_an_unrelated_global_guardrail() ->
 def test_missing_exact_guardrail_returns_failure_evidence_at_deadline(applied: str) -> None:
     clock: Final = Clock()
     missing: Final = _response(applied)
+    responses: Final = iter((missing, missing, missing))
 
     result: Final = poll_until_guardrail_applied(
-        lambda: missing, "tool-permission", timeout=5, interval=2, now=clock.now, sleep=clock.sleep
+        lambda: next(responses), "tool-permission", timeout=5, interval=2, now=clock.now, sleep=clock.sleep
     )
 
     assert result is missing
     assert clock.elapsed == 5
+    with pytest.raises(StopIteration):
+        next(responses)
 
 
 @pytest.mark.parametrize("status", (400, 401, 429, 500))

From 0c58346ba925d0a15ebcb38b162b9224446a50d6 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 17:07:37 -0700
Subject: [PATCH 163/223] fix(proxy): warn when a deferred background policy
 was matched through a request tag

Retrieval re-matches only the key, team, and model scopes, so a post_call
policy that reached a pending background response through a request-body
tag does not govern the completed response. Log that at submit, next to the
deferral, and cover the retrieval re-match with tag-scoped tests.
---
 litellm/proxy/utils.py                        | 22 +++++++++
 .../policy_engine/test_response_retrieval.py  | 22 +++++++++
 .../proxy_logging/test_guardrail_pipeline.py  | 47 ++++++++++++++++++-
 3 files changed, 89 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 4b62fc4cdae..d144aa113d6 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -613,9 +613,31 @@ def _defer_post_call_pipelines(
         response.status,
         ", ".join(policy_name for policy_name, _pipeline in deferred),
     )
+    tag_matched: Final = _tag_matched_deferrals(data, deferred)
+    if tag_matched:
+        verbose_proxy_logger.warning(
+            "Policy engine: background response %s matched post_call policies through a request tag at submit; "
+            "retrieval re-matches only the key, team, and model scopes, so a tag carried in the request body "
+            "does not govern the completed response: %s",
+            response.id,
+            ", ".join(f"{policy_name} ({source})" for policy_name, source in tag_matched),
+        )
     _withdraw_deferred_claims(data, deferred)
 
 
+def _tag_matched_deferrals(
+    data: Mapping[str, object], deferred: Sequence[tuple[str, "GuardrailPipeline"]]
+) -> tuple[tuple[str, str], ...]:
+    sources: Final = _policy_state_metadata(data).get("policy_sources")
+    if not isinstance(sources, dict):
+        return ()
+    return tuple(
+        (policy_name, str(sources[policy_name]))
+        for policy_name, _pipeline in deferred
+        if policy_name in sources and "tag:" in str(sources[policy_name])
+    )
+
+
 def _pipeline_is_streamable(policy_name: str, pipeline: "GuardrailPipeline") -> bool:
     unsupported: Final = tuple(
         dict.fromkeys(
diff --git a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
index 9dcbef888ce..1fa1161191d 100644
--- a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
+++ b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
@@ -68,6 +68,7 @@ def policy_engine():
             "response-governance": _pipeline_policy("output-word-filter"),
             "input-governance": _pipeline_policy("input-word-filter", mode="pre_call"),
             "team-governance": _pipeline_policy("team-word-filter"),
+            "tag-governance": _pipeline_policy("tag-word-filter"),
         }
     )
     attachment_registry.load_attachments(
@@ -75,6 +76,7 @@ def policy_engine():
             {"policy": "response-governance", "models": [GOVERNED_MODEL_GROUP]},
             {"policy": "input-governance", "models": [GOVERNED_MODEL_GROUP]},
             {"policy": "team-governance", "teams": ["governed-team"]},
+            {"policy": "tag-governance", "tags": ["governed"]},
         ]
     )
     yield
@@ -119,6 +121,26 @@ def test_key_and_team_context_also_governs_retrieval(policy_engine):
     assert _attached_pipelines(data) == (("team-governance", "team-word-filter"),)
 
 
+def test_tag_attached_policy_is_not_re_matched_when_the_retrieval_carries_no_tag(policy_engine):
+    data = _retrieval_data(GOVERNED_MODEL_ID)
+
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+
+    assert _attached_pipelines(data) == (("response-governance", "output-word-filter"),)
+
+
+def test_tag_attached_policy_governs_a_retrieval_whose_metadata_carries_the_tag(policy_engine):
+    data: dict[str, object] = {
+        "response_id": _encoded_response_id(UNGOVERNED_MODEL_ID),
+        "litellm_metadata": {"tags": ["governed"]},
+    }
+
+    attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
+
+    assert _attached_pipelines(data) == (("tag-governance", "tag-word-filter"),)
+    assert data["litellm_metadata"]["policy_sources"] == {"tag-governance": "tag:governed"}
+
+
 def test_retrieval_of_an_ungoverned_model_attaches_nothing(policy_engine):
     data = _retrieval_data(UNGOVERNED_MODEL_ID)
 
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index d6a74d3bbd9..63afce5d968 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -1489,7 +1489,9 @@ def _output_passing_callbacks() -> list[CustomGuardrail]:
     return [OutputPassingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)]
 
 
-def _claimed_post_call_pipeline_data(*policy_names: str, extra_guardrails: dict[str, list[str]] | None = None):
+def _claimed_post_call_pipeline_data(
+    *policy_names: str, extra_guardrails: dict[str, list[str]] | None = None, policy_source: str = "model:m"
+):
     from litellm.proxy.policy_engine.policy_registry import get_policy_registry
 
     step = {"guardrail": "gr-post", "on_pass": "allow", "on_fail": "block"}
@@ -1511,7 +1513,7 @@ def _claimed_post_call_pipeline_data(*policy_names: str, extra_guardrails: dict[
             "_pipeline_managed_guardrails": {"gr-post"},
             "applied_policies": list(policy_names),
             "applied_guardrails": ["gr-post", *(g for gs in (extra_guardrails or {}).values() for g in gs)],
-            "policy_sources": {policy_name: "model:m" for policy_name in policy_names},
+            "policy_sources": {policy_name: policy_source for policy_name in policy_names},
         },
     }
 
@@ -1542,6 +1544,47 @@ async def test_pending_background_response_withdraws_the_deferred_policy_claims(
     assert "applied_guardrails" not in data["metadata"]
 
 
+@pytest.mark.asyncio
+async def test_pending_background_response_warns_when_the_deferred_policy_was_matched_through_a_tag(
+    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry, caplog
+):
+    monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _claimed_post_call_pipeline_data("response-governance", policy_source="tag:governed+model:m")
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        out = await proxy_logging.post_call_success_hook(
+            data=data, response=_background_response("queued"), user_api_key_dict=make_user_api_key_auth()
+        )
+
+    assert out.status == "queued"
+    assert "policy_sources" not in data["metadata"]
+    assert [
+        message for message in _warnings(caplog) if "response-governance (tag:governed+model:m)" in message
+    ] == [
+        "Policy engine: background response resp_bg matched post_call policies through a request tag at submit; "
+        "retrieval re-matches only the key, team, and model scopes, so a tag carried in the request body "
+        "does not govern the completed response: response-governance (tag:governed+model:m)"
+    ]
+
+
+@pytest.mark.asyncio
+async def test_pending_background_response_matched_through_its_model_does_not_warn(
+    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry, caplog
+):
+    monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        await proxy_logging.post_call_success_hook(
+            data=_claimed_post_call_pipeline_data("response-governance"),
+            response=_background_response("queued"),
+            user_api_key_dict=make_user_api_key_auth(),
+        )
+
+    assert _warnings(caplog) == []
+
+
 @pytest.mark.asyncio
 async def test_pending_background_response_keeps_the_claim_of_a_policy_that_runs_outside_its_pipeline(
     proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry

From 831a2a13fbd87aee9e77cc6831963ac4a9975fbb Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 17:12:18 -0700
Subject: [PATCH 164/223] fix(azure): price azure_ai transcriptions at the
 azure_ai cost-map entry

---
 litellm/llms/azure/audio_transcriptions.py    |  7 ++-
 litellm/main.py                               |  1 +
 .../llms/azure/test_audio_transcriptions.py   | 61 +++++++++++++++++++
 3 files changed, 67 insertions(+), 2 deletions(-)
 create mode 100644 tests/test_litellm/llms/azure/test_audio_transcriptions.py

diff --git a/litellm/llms/azure/audio_transcriptions.py b/litellm/llms/azure/audio_transcriptions.py
index 4a5ed2ccb0c..564ec94ba6b 100644
--- a/litellm/llms/azure/audio_transcriptions.py
+++ b/litellm/llms/azure/audio_transcriptions.py
@@ -37,6 +37,7 @@ class AzureAudioTranscription(AzureChatCompletion):
         azure_ad_token: str | None = None,
         atranscription: bool = False,
         litellm_params: dict | None = None,
+        custom_llm_provider: str = "azure",
     ) -> TranscriptionResponse | Coroutine[Any, Any, TranscriptionResponse]:
         data: Final = {"model": model, "file": audio_file, **optional_params}
 
@@ -53,6 +54,7 @@ class AzureAudioTranscription(AzureChatCompletion):
                 logging_obj=logging_obj,
                 model=model,
                 litellm_params=litellm_params,
+                custom_llm_provider=custom_llm_provider,
             )
 
         azure_client: Final = self.get_azure_openai_client(
@@ -99,7 +101,7 @@ class AzureAudioTranscription(AzureChatCompletion):
             additional_args={"complete_input_dict": data},
             original_response=stringified_response,
         )
-        hidden_params: Final = {"model": model, "custom_llm_provider": "azure"}
+        hidden_params: Final = {"model": model, "custom_llm_provider": custom_llm_provider}
         final_response: Final[TranscriptionResponse] = convert_to_model_response_object(
             response_object=stringified_response,
             model_response_object=model_response,
@@ -122,6 +124,7 @@ class AzureAudioTranscription(AzureChatCompletion):
         client=None,
         max_retries=None,
         litellm_params: dict | None = None,
+        custom_llm_provider: str = "azure",
     ) -> TranscriptionResponse:
         response = None
         try:
@@ -178,7 +181,7 @@ class AzureAudioTranscription(AzureChatCompletion):
                 },
                 original_response=stringified_response,
             )
-            hidden_params: Final = {"model": model, "custom_llm_provider": "azure"}
+            hidden_params: Final = {"model": model, "custom_llm_provider": custom_llm_provider}
             response = convert_to_model_response_object(
                 _response_headers=headers,
                 response_object=stringified_response,
diff --git a/litellm/main.py b/litellm/main.py
index 75b7f7f10a5..11b30c240aa 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -7805,6 +7805,7 @@ def transcription(
             azure_ad_token=azure_ad_token,
             max_retries=max_retries,
             litellm_params=litellm_params_dict,
+            custom_llm_provider=custom_llm_provider,
         )
     elif custom_llm_provider == "openai" or (custom_llm_provider in litellm.openai_compatible_providers):
         api_base = (
diff --git a/tests/test_litellm/llms/azure/test_audio_transcriptions.py b/tests/test_litellm/llms/azure/test_audio_transcriptions.py
new file mode 100644
index 00000000000..cd5fcbd85a9
--- /dev/null
+++ b/tests/test_litellm/llms/azure/test_audio_transcriptions.py
@@ -0,0 +1,61 @@
+import json
+from pathlib import Path
+from typing import Final
+
+import httpx
+import pytest
+from openai import AzureOpenAI
+
+import litellm
+from litellm.cost_calculator import completion_cost
+from litellm.litellm_core_utils.audio_utils.utils import calculate_request_duration
+
+AUDIO_FILE: Final = Path(__file__).parents[3] / "gettysburg.wav"
+WHISPER_COST_PER_SECOND: Final = 0.0001
+
+
+def _transcription_client() -> AzureOpenAI:
+    def handler(request: httpx.Request) -> httpx.Response:
+        return httpx.Response(200, json={"text": "Four score and seven years ago"})
+
+    return AzureOpenAI(
+        api_key="test-key",
+        api_version="2024-06-01",
+        azure_endpoint="https://example.cognitiveservices.azure.com",
+        http_client=httpx.Client(transport=httpx.MockTransport(handler)),
+    )
+
+
+def test_azure_ai_transcription_is_priced_at_the_azure_ai_entry():
+    with AUDIO_FILE.open("rb") as audio:
+        response = litellm.transcription(
+            model="azure_ai/whisper",
+            file=audio,
+            api_base="https://example.cognitiveservices.azure.com",
+            api_key="test-key",
+            api_version="2024-06-01",
+            client=_transcription_client(),
+        )
+    with AUDIO_FILE.open("rb") as audio:
+        duration = calculate_request_duration(audio)
+
+    assert duration is not None and duration > 0
+    assert response._hidden_params["custom_llm_provider"] == "azure_ai"
+    assert completion_cost(completion_response=response, call_type="transcription") == pytest.approx(
+        WHISPER_COST_PER_SECOND * duration
+    )
+
+
+def test_azure_transcription_keeps_the_azure_provider():
+    with AUDIO_FILE.open("rb") as audio:
+        response = litellm.transcription(
+            model="azure/whisper-1",
+            file=audio,
+            api_base="https://example.openai.azure.com",
+            api_key="test-key",
+            api_version="2024-06-01",
+            client=_transcription_client(),
+        )
+
+    assert response._hidden_params["custom_llm_provider"] == "azure"
+    assert json.loads(response.model_dump_json())["text"] == "Four score and seven years ago"

From 260097b2dde7f12f77784892e96e9956b0b19cc1 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 17:16:34 -0700
Subject: [PATCH 165/223] refactor(hosted_vllm): drop redundant image edit
 docstrings

---
 litellm/llms/hosted_vllm/image_edit/transformation.py     | 8 --------
 .../test_hosted_vllm_image_edit_transformation.py         | 2 --
 2 files changed, 10 deletions(-)

diff --git a/litellm/llms/hosted_vllm/image_edit/transformation.py b/litellm/llms/hosted_vllm/image_edit/transformation.py
index bd27c962da8..fa8c1dbfcfd 100644
--- a/litellm/llms/hosted_vllm/image_edit/transformation.py
+++ b/litellm/llms/hosted_vllm/image_edit/transformation.py
@@ -1,5 +1,3 @@
-"""Image edits for Hosted VLLM (vLLM-Omni OpenAI-compatible /v1/images/edits)."""
-
 from typing import Final
 
 from litellm.llms.openai.image_edit.transformation import OpenAIImageEditConfig
@@ -7,12 +5,6 @@ from litellm.secret_managers.main import get_secret_str
 
 
 class HostedVLLMImageEditConfig(OpenAIImageEditConfig):
-    """
-    vLLM-Omni images edits API follows the OpenAI multipart contract.
-
-    https://docs.vllm.ai/projects/vllm-omni/en/latest/serving/images_api/
-    """
-
     def validate_environment(
         self,
         headers: dict,  # mutable-ok: BaseImageEditConfig contract
diff --git a/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py b/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py
index e1167b92553..5646f3d9d13 100644
--- a/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py
+++ b/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py
@@ -1,5 +1,3 @@
-"""Tests for hosted_vllm image edits (vLLM-Omni /v1/images/edits)."""
-
 import httpx
 import pytest
 

From 268b944081e7139e54dc88dda6e311152274dc68 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 17:24:22 -0700
Subject: [PATCH 166/223] fix(spend-tracking): bound the spend-log scan with a
 statement timeout and name only unanimous alias, team, and owner

---
 litellm/constants.py                          |   1 +
 .../spend_tracking/key_metadata_recovery.py   |  62 ++++--
 .../test_key_metadata_recovery.py             | 176 +++++++++++++-----
 3 files changed, 176 insertions(+), 63 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index cfc5b6b86a7..e599a5dd3f9 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -1766,6 +1766,7 @@ DEFAULT_ACCESS_GROUP_CACHE_TTL: Final = int(os.getenv("DEFAULT_ACCESS_GROUP_CACH
 SPEND_LOG_KEY_METADATA_CACHE_TTL: Final = 600
 SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL: Final = 30
 SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS: Final = 10000
+SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS: Final = 5000
 # Short TTL for negative MCP access-group existence lookups. Keeps unauthenticated
 # callers from forcing a DB query per request for unknown names, while bounding
 # staleness so a transient DB error (which surfaces as an empty list) cannot
diff --git a/litellm/proxy/spend_tracking/key_metadata_recovery.py b/litellm/proxy/spend_tracking/key_metadata_recovery.py
index d555da99397..29688b61b3d 100644
--- a/litellm/proxy/spend_tracking/key_metadata_recovery.py
+++ b/litellm/proxy/spend_tracking/key_metadata_recovery.py
@@ -1,7 +1,7 @@
 import asyncio
 from collections.abc import Awaitable, Callable, Mapping, Sequence
 from collections.abc import Set as AbstractSet
-from datetime import datetime
+from datetime import datetime, timedelta
 from types import MappingProxyType
 from typing import Final, TypeVar
 
@@ -14,6 +14,7 @@ from litellm.constants import (
     SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS,
     SPEND_LOG_KEY_METADATA_CACHE_TTL,
     SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL,
+    SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS,
 )
 from litellm.litellm_core_utils.litellm_logging import is_valid_sha256_hash
 from litellm.proxy.utils import PrismaClient
@@ -36,16 +37,15 @@ ORDER BY token, deleted_at DESC
 """
 
 _SPEND_LOG_ALIAS_SQL: Final = """
-SELECT DISTINCT ON (api_key)
-    api_key AS digest,
-    key_alias,
-    team_id,
-    user_id,
-    MIN(user_id) OVER (PARTITION BY api_key) AS first_owner,
-    MAX(user_id) OVER (PARTITION BY api_key) AS last_owner
+SELECT api_key AS digest,
+    MIN(key_alias) AS first_alias,
+    MAX(key_alias) AS last_alias,
+    MIN(team_id) AS first_team,
+    MAX(team_id) AS last_team,
+    MIN(user_id) AS first_owner,
+    MAX(user_id) AS last_owner
 FROM (
     SELECT api_key,
-        "startTime",
         NULLIF(metadata->>'user_api_key_alias', '') AS key_alias,
         COALESCE(NULLIF(team_id, ''), NULLIF(metadata->>'user_api_key_team_id', '')) AS team_id,
         COALESCE(NULLIF("user", ''), NULLIF(metadata->>'user_api_key_user_id', '')) AS user_id
@@ -55,9 +55,12 @@ FROM (
       AND "startTime" < $3::timestamp
 ) named
 WHERE COALESCE(key_alias, user_id, team_id) IS NOT NULL
-ORDER BY api_key, "startTime" DESC
+GROUP BY api_key
 """
 
+_SPEND_LOG_STATEMENT_TIMEOUT_SQL: Final = f"SET LOCAL statement_timeout = {SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS}"
+_SPEND_LOG_TRANSACTION_TIMEOUT: Final = timedelta(milliseconds=2 * SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS)
+
 _HASHED_JWT_PREFIX: Final = "hashed-jwt-"
 
 
@@ -75,12 +78,25 @@ class _TokenDigestRow(BaseModel):
     user_id: str | None = None
 
 
-class _SpendLogDigestRow(_TokenDigestRow):
+def _unanimous(first: str | None, last: str | None) -> str | None:
+    return first if first == last else None
+
+
+class _SpendLogDigestRow(BaseModel):
+    digest: str
+    first_alias: str | None = None
+    last_alias: str | None = None
+    first_team: str | None = None
+    last_team: str | None = None
     first_owner: str | None = None
     last_owner: str | None = None
 
-    def unanimous_owner(self) -> str | None:
-        return self.user_id if self.first_owner == self.last_owner else None
+    def metadata(self) -> KeyMetadataDict:
+        return KeyMetadataDict(
+            key_alias=_unanimous(self.first_alias, self.last_alias),
+            team_id=_unanimous(self.first_team, self.last_team),
+            user_id=_unanimous(self.first_owner, self.last_owner),
+        )
 
 
 _TOKEN_DIGEST_ROWS: Final = TypeAdapter(tuple[_TokenDigestRow, ...])
@@ -232,14 +248,24 @@ def _cached_spend_log_metadata(
     )
 
 
+async def _spend_log_rows_within_the_statement_timeout(
+    prisma_client: PrismaClient,
+    digests: AbstractSet[str],
+    window: tuple[datetime, datetime],
+) -> Sequence[Mapping[str, object]]:
+    start, end = window
+    async with prisma_client.db.tx(timeout=_SPEND_LOG_TRANSACTION_TIMEOUT) as transaction:
+        await transaction.execute_raw(_SPEND_LOG_STATEMENT_TIMEOUT_SQL)
+        return await transaction.query_raw(_SPEND_LOG_ALIAS_SQL, sorted(digests), start, end)
+
+
 async def _query_spend_log_metadata(
     prisma_client: PrismaClient,
     digests: AbstractSet[str],
     window: tuple[datetime, datetime],
 ) -> Mapping[str, KeyMetadataDict] | None:
-    start, end = window
     rows: Final = await _db_or_empty(
-        lambda: prisma_client.db.query_raw(_SPEND_LOG_ALIAS_SQL, sorted(digests), start, end),
+        lambda: _spend_log_rows_within_the_statement_timeout(prisma_client, digests, window),
         "Failed spend-log alias recovery for %d missing keys: %s",
         len(digests),
     )
@@ -247,10 +273,10 @@ async def _query_spend_log_metadata(
         return None
     return MappingProxyType(
         {
-            row.digest: KeyMetadataDict(key_alias=row.key_alias, team_id=row.team_id, user_id=owner)
+            row.digest: meta
             for row in _SPEND_LOG_DIGEST_ROWS.validate_python(rows)
-            for owner in (row.unanimous_owner(),)
-            if row.digest in digests and (row.key_alias or owner or row.team_id)
+            for meta in (row.metadata(),)
+            if row.digest in digests and any(meta.values())
         }
     )
 
diff --git a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
index 682b11f5bb7..89be341c87b 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py
@@ -1,7 +1,7 @@
 import asyncio
 import time
 from collections.abc import Sequence
-from datetime import datetime
+from datetime import datetime, timedelta
 from types import SimpleNamespace
 from unittest.mock import AsyncMock, MagicMock
 
@@ -9,7 +9,11 @@ import pytest
 from prisma.errors import PrismaError
 
 from litellm.caching.in_memory_cache import InMemoryCache
-from litellm.constants import SPEND_LOG_KEY_METADATA_CACHE_TTL, SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL
+from litellm.constants import (
+    SPEND_LOG_KEY_METADATA_CACHE_TTL,
+    SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL,
+    SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS,
+)
 from litellm.proxy.spend_tracking.key_metadata_recovery import (
     fill_missing_api_key_aliases,
     recover_double_hashed_key_metadata,
@@ -31,6 +35,26 @@ def _query_raw_spend_logs(rows: Sequence[dict[str, str | None]]) -> AsyncMock:
     return AsyncMock(side_effect=query_raw)
 
 
+def _spend_log_row(digest: str, key_alias: str | None, team_id: str | None, user_id: str | None) -> dict[str, str | None]:
+    return {
+        "digest": digest,
+        "first_alias": key_alias,
+        "last_alias": key_alias,
+        "first_team": team_id,
+        "last_team": team_id,
+        "first_owner": user_id,
+        "last_owner": user_id,
+    }
+
+
+def _spend_log_transaction(mock_prisma: MagicMock, query_raw: AsyncMock) -> AsyncMock:
+    transaction = MagicMock()
+    transaction.execute_raw = AsyncMock(return_value=0)
+    transaction.query_raw = query_raw
+    mock_prisma.db.tx.return_value.__aenter__.return_value = transaction
+    return query_raw
+
+
 def _query_raw_by_table(
     active_rows: Sequence[dict[str, str | None]],
     deleted_rows: Sequence[dict[str, str | None]],
@@ -240,15 +264,18 @@ async def test_recover_key_metadata_from_spend_logs_resolves_session_token_from_
     session_digest = hash_token("cli-session-repro-user-6852")
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs(
-        [_digest_row(session_digest, "cli-session-repro-user-6852", None, "repro-user-6852")]
+    query_raw = _spend_log_transaction(
+        mock_prisma,
+        _query_raw_spend_logs(
+            [_spend_log_row(session_digest, "cli-session-repro-user-6852", None, "repro-user-6852")]
+        ),
     )
 
     result = await recover_key_metadata_from_spend_logs(mock_prisma, {session_digest}, window, cache=InMemoryCache())
 
     assert result[session_digest]["key_alias"] == "cli-session-repro-user-6852"
     assert result[session_digest]["user_id"] == "repro-user-6852"
-    ((_, digests, start, end),) = [call.args for call in mock_prisma.db.query_raw.call_args_list]
+    ((_, digests, start, end),) = [call.args for call in query_raw.call_args_list]
     assert digests == [session_digest]
     assert (start, end) == window
 
@@ -257,19 +284,19 @@ async def test_recover_key_metadata_from_spend_logs_resolves_session_token_from_
 async def test_recover_key_metadata_from_spend_logs_skips_query_when_no_missing_keys():
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = AsyncMock(return_value=[])
+    query_raw = _spend_log_transaction(mock_prisma, AsyncMock(return_value=[]))
 
     result = await recover_key_metadata_from_spend_logs(mock_prisma, set(), window, cache=InMemoryCache())
 
     assert result == {}
-    mock_prisma.db.query_raw.assert_not_called()
+    query_raw.assert_not_called()
 
 
 @pytest.mark.asyncio
 async def test_recover_key_metadata_from_spend_logs_returns_empty_on_prisma_error():
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = AsyncMock(side_effect=PrismaError("db down"))
+    query_raw = _spend_log_transaction(mock_prisma, AsyncMock(side_effect=PrismaError("db down")))
 
     result = await recover_key_metadata_from_spend_logs(
         mock_prisma, {hash_token("cli-session-x")}, window, cache=InMemoryCache()
@@ -285,12 +312,15 @@ async def test_recover_key_metadata_from_spend_logs_ignores_foreign_and_all_null
     foreign = hash_token("cli-session-foreign")
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs(
-        [
-            _digest_row(wanted, "kept-alias", None, "owner-1"),
-            _digest_row(all_null, None, None, None),
-            _digest_row(foreign, "foreign-alias", None, "owner-2"),
-        ]
+    query_raw = _spend_log_transaction(
+        mock_prisma,
+        _query_raw_spend_logs(
+            [
+                _spend_log_row(wanted, "kept-alias", None, "owner-1"),
+                _spend_log_row(all_null, None, None, None),
+                _spend_log_row(foreign, "foreign-alias", None, "owner-2"),
+            ]
+        ),
     )
 
     result = await recover_key_metadata_from_spend_logs(mock_prisma, {wanted, all_null}, window, cache=InMemoryCache())
@@ -304,14 +334,14 @@ async def test_recover_key_metadata_from_spend_logs_ignores_foreign_and_all_null
 async def test_recover_key_metadata_from_spend_logs_skips_non_sha256_keys():
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = AsyncMock(return_value=[])
+    query_raw = _spend_log_transaction(mock_prisma, AsyncMock(return_value=[]))
 
     result = await recover_key_metadata_from_spend_logs(
         mock_prisma, {"cli-session-raw-1798", "key-hash-short"}, window, cache=InMemoryCache()
     )
 
     assert result == {}
-    mock_prisma.db.query_raw.assert_not_called()
+    query_raw.assert_not_called()
 
 
 @pytest.mark.asyncio
@@ -319,13 +349,13 @@ async def test_recover_key_metadata_from_spend_logs_accepts_hashed_jwt_digests()
     jwt_digest = f"hashed-jwt-{hash_token('jwt-subject-1')}"
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(jwt_digest, None, "team-jwt", "jwt-user")])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(jwt_digest, None, "team-jwt", "jwt-user")]))
 
     result = await recover_key_metadata_from_spend_logs(mock_prisma, {jwt_digest}, window, cache=InMemoryCache())
 
     assert result[jwt_digest]["team_id"] == "team-jwt"
     assert result[jwt_digest]["user_id"] == "jwt-user"
-    ((_, digests, _, _),) = [call.args for call in mock_prisma.db.query_raw.call_args_list]
+    ((_, digests, _, _),) = [call.args for call in query_raw.call_args_list]
     assert digests == [jwt_digest]
 
 
@@ -336,7 +366,7 @@ async def test_recover_key_metadata_from_spend_logs_serves_repeat_lookups_from_t
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     cache = InMemoryCache()
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(found, "found-alias", None, "owner-1")])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(found, "found-alias", None, "owner-1")]))
 
     first = await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache)
     second = await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache)
@@ -344,7 +374,7 @@ async def test_recover_key_metadata_from_spend_logs_serves_repeat_lookups_from_t
     assert first == second
     assert set(first) == {found}
     assert first[found]["key_alias"] == "found-alias"
-    assert mock_prisma.db.query_raw.await_count == 1
+    assert query_raw.await_count == 1
 
 
 @pytest.mark.asyncio
@@ -354,15 +384,15 @@ async def test_recover_key_metadata_from_spend_logs_only_queries_digests_the_cac
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     cache = InMemoryCache()
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(cached_digest, "cached-alias", None, None)])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(cached_digest, "cached-alias", None, None)]))
     await recover_key_metadata_from_spend_logs(mock_prisma, {cached_digest}, window, cache=cache)
-    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(new_digest, "new-alias", None, None)])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(new_digest, "new-alias", None, None)]))
 
     result = await recover_key_metadata_from_spend_logs(mock_prisma, {cached_digest, new_digest}, window, cache=cache)
 
     assert result[cached_digest]["key_alias"] == "cached-alias"
     assert result[new_digest]["key_alias"] == "new-alias"
-    ((_, digests, _, _),) = [call.args for call in mock_prisma.db.query_raw.call_args_list]
+    ((_, digests, _, _),) = [call.args for call in query_raw.call_args_list]
     assert digests == [new_digest]
 
 
@@ -371,18 +401,18 @@ async def test_recover_key_metadata_from_spend_logs_rescans_when_the_window_chan
     digest = hash_token("cli-session-windowed")
     cache = InMemoryCache()
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs([])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([]))
     await recover_key_metadata_from_spend_logs(
         mock_prisma, {digest}, (datetime(2026, 9, 1), datetime(2026, 9, 4)), cache=cache
     )
-    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(digest, "later-alias", None, None)])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(digest, "later-alias", None, None)]))
 
     result = await recover_key_metadata_from_spend_logs(
         mock_prisma, {digest}, (datetime(2026, 9, 7), datetime(2026, 9, 10)), cache=cache
     )
 
     assert result[digest]["key_alias"] == "later-alias"
-    assert mock_prisma.db.query_raw.await_count == 1
+    assert query_raw.await_count == 1
 
 
 @pytest.mark.asyncio
@@ -391,13 +421,13 @@ async def test_recover_key_metadata_from_spend_logs_retries_a_failed_query_only_
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL)
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = AsyncMock(side_effect=PrismaError("statement timeout"))
+    query_raw = _spend_log_transaction(mock_prisma, AsyncMock(side_effect=PrismaError("statement timeout")))
     started = time.time()
     assert await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache) == {}
-    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(digest, "back-online", None, None)])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(digest, "back-online", None, None)]))
 
     assert await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache) == {}
-    mock_prisma.db.query_raw.assert_not_awaited()
+    query_raw.assert_not_awaited()
     miss_key = next(key for key in cache.ttl_dict if digest in key and not key.endswith(":missed-before"))
     assert cache.ttl_dict[miss_key] - started <= SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL + 1
     cache.ttl_dict[miss_key] = time.time() - 1
@@ -412,14 +442,11 @@ async def test_recover_key_metadata_from_spend_logs_drops_the_owner_of_a_digest_
     shared_ui_digest = hash_token("ui-token")
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs(
-        [
-            {
-                **_digest_row(shared_ui_digest, "ui-token", "litellm-dashboard", "bob"),
-                "first_owner": "alice",
-                "last_owner": "bob",
-            }
-        ]
+    query_raw = _spend_log_transaction(
+        mock_prisma,
+        _query_raw_spend_logs(
+            [{**_spend_log_row(shared_ui_digest, "ui-token", "litellm-dashboard", None), "first_owner": "alice", "last_owner": "bob"}]
+        ),
     )
 
     result = await recover_key_metadata_from_spend_logs(
@@ -434,8 +461,11 @@ async def test_recover_key_metadata_from_spend_logs_keeps_the_owner_when_every_n
     digest = hash_token("cli-session-one-owner")
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs(
-        [{**_digest_row(digest, None, None, "carol"), "first_owner": "carol", "last_owner": "carol"}]
+    query_raw = _spend_log_transaction(
+        mock_prisma,
+        _query_raw_spend_logs(
+            [_spend_log_row(digest, None, None, "carol")]
+        ),
     )
 
     result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache())
@@ -450,7 +480,7 @@ async def test_recover_key_metadata_from_spend_logs_forgets_a_miss_long_before_a
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL)
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs([_digest_row(found, "found-alias", None, None)])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(found, "found-alias", None, None)]))
     started = time.time()
 
     await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache)
@@ -471,9 +501,9 @@ async def test_recover_key_metadata_from_spend_logs_runs_one_query_for_concurren
 
     async def slow_query_raw(sql: str, *params: object) -> list[dict[str, str | None]]:
         await asyncio.sleep(0.01)
-        return [_digest_row(digest, "shared-alias", None, None)]
+        return [_spend_log_row(digest, "shared-alias", None, None)]
 
-    mock_prisma.db.query_raw = AsyncMock(side_effect=slow_query_raw)
+    query_raw = _spend_log_transaction(mock_prisma, AsyncMock(side_effect=slow_query_raw))
 
     results = await asyncio.gather(
         *(
@@ -483,7 +513,7 @@ async def test_recover_key_metadata_from_spend_logs_runs_one_query_for_concurren
     )
 
     assert all(result[digest]["key_alias"] == "shared-alias" for result in results)
-    assert mock_prisma.db.query_raw.await_count == 1
+    assert query_raw.await_count == 1
 
 
 @pytest.mark.asyncio
@@ -492,7 +522,7 @@ async def test_recover_key_metadata_from_spend_logs_keeps_a_repeated_miss_as_lon
     window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
     cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL)
     mock_prisma = MagicMock()
-    mock_prisma.db.query_raw = _query_raw_spend_logs([])
+    query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([]))
     await recover_key_metadata_from_spend_logs(mock_prisma, {unknown}, window, cache=cache)
     first_miss_key = next(key for key in cache.ttl_dict if unknown in key and not key.endswith(":missed-before"))
     cache.ttl_dict[first_miss_key] = time.time() - 1
@@ -500,5 +530,61 @@ async def test_recover_key_metadata_from_spend_logs_keeps_a_repeated_miss_as_lon
 
     await recover_key_metadata_from_spend_logs(mock_prisma, {unknown}, window, cache=cache)
 
-    assert mock_prisma.db.query_raw.await_count == 2
+    assert query_raw.await_count == 2
     assert cache.ttl_dict[first_miss_key] - started >= SPEND_LOG_KEY_METADATA_CACHE_TTL - 1
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_keeps_the_owner_older_rows_agree_on_when_the_newest_is_nameless():
+    digest = hash_token("cli-session-owner-from-older-rows")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(digest, None, "team-x", "alice")]))
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache())
+
+    assert result[digest] == {"key_alias": None, "team_id": "team-x", "user_id": "alice"}
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_names_nothing_for_a_field_whose_rows_disagree():
+    digest = hash_token("cli-session-disagreeing-rows")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    _spend_log_transaction(
+        mock_prisma,
+        _query_raw_spend_logs(
+            [
+                {
+                    **_spend_log_row(digest, None, None, "carol"),
+                    "first_alias": "old-alias",
+                    "last_alias": "renamed-alias",
+                    "first_team": "team-a",
+                    "last_team": "team-b",
+                }
+            ]
+        ),
+    )
+
+    result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache())
+
+    assert result[digest] == {"key_alias": None, "team_id": None, "user_id": "carol"}
+
+
+@pytest.mark.asyncio
+async def test_recover_key_metadata_from_spend_logs_bounds_the_scan_with_a_statement_timeout():
+    digest = hash_token("cli-session-bounded-scan")
+    window = (datetime(2026, 9, 7), datetime(2026, 9, 10))
+    mock_prisma = MagicMock()
+    calls: list[str] = []
+    transaction = MagicMock()
+    transaction.execute_raw = AsyncMock(side_effect=lambda sql: calls.append(sql) or 0)
+    transaction.query_raw = AsyncMock(side_effect=lambda sql, *args: calls.append("scan") or [])
+    mock_prisma.db.tx.return_value.__aenter__.return_value = transaction
+
+    await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache())
+
+    assert calls == [f"SET LOCAL statement_timeout = {SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS}", "scan"]
+    assert mock_prisma.db.tx.call_args.kwargs["timeout"] == timedelta(
+        milliseconds=2 * SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS
+    )

From 754a2afe12891f0fc9e8b20fbf17f7504d71215a Mon Sep 17 00:00:00 2001
From: tin-berri <tin@berri.ai>
Date: Tue, 8 Sep 2026 17:30:20 -0700
Subject: [PATCH 167/223] feat(mcp): add schema discovery proxy mode (#40298)

---
 .../_experimental/mcp_server/mcp_context.py   |   3 +
 .../proxy/_experimental/mcp_server/server.py  | 100 ++++-
 .../_experimental/mcp_server/tool_search.py   | 265 ++++++++++++-
 litellm/proxy/_lazy_openapi_snapshot.json     | 128 +++++++
 litellm/proxy/_types.py                       |   1 +
 litellm/proxy/proxy_server.py                 |  25 ++
 tests/mcp_tests/test_proxy_mcp_e2e.py         | 152 ++++++--
 .../mcp_server/test_mcp_proxy_mode.py         | 354 ++++++++++++++++++
 ui/litellm-dashboard/src/lib/http/schema.d.ts | 184 +++++++++
 9 files changed, 1154 insertions(+), 58 deletions(-)
 create mode 100644 tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py

diff --git a/litellm/proxy/_experimental/mcp_server/mcp_context.py b/litellm/proxy/_experimental/mcp_server/mcp_context.py
index 7936edad753..74cc0c900d9 100644
--- a/litellm/proxy/_experimental/mcp_server/mcp_context.py
+++ b/litellm/proxy/_experimental/mcp_server/mcp_context.py
@@ -21,3 +21,6 @@ _mcp_gateway_initialize_instructions: Final[ContextVar[str | None]] = ContextVar
 # Per-request scoped server name; set in MCP HTTP/SSE handlers when the path
 # identifies exactly one upstream server. Never populated from client-supplied headers.
 _mcp_gateway_server_name: Final[ContextVar[str | None]] = ContextVar("_mcp_gateway_server_name", default=None)
+
+# Set server-side by the /mcp/proxy route. Never populated from client-supplied headers.
+_mcp_proxy_mode: Final[ContextVar[bool]] = ContextVar("_mcp_proxy_mode", default=False)
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 1b1e77d27ef..44c00df996c 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -15,7 +15,7 @@ import types
 import uuid
 from collections.abc import AsyncIterator, Callable, Mapping, Sequence
 from datetime import datetime
-from typing import TYPE_CHECKING, Any, Final, Protocol
+from typing import TYPE_CHECKING, Any, Final, NoReturn, Protocol
 
 import httpx
 from fastapi import FastAPI, HTTPException
@@ -47,6 +47,7 @@ from litellm.proxy._experimental.mcp_server.mcp_context import (
     _mcp_active_toolset_id,
     _mcp_gateway_initialize_instructions,
     _mcp_gateway_server_name,
+    _mcp_proxy_mode,  # pyright: ignore[reportPrivateUsage]  # server-owned request mode
 )
 from litellm.proxy._experimental.mcp_server.mcp_debug import MCPDebug
 from litellm.proxy._experimental.mcp_server.oauth_utils import (
@@ -537,11 +538,22 @@ if MCP_AVAILABLE:
         notification_options: NotificationOptions | None = None,
         experimental_capabilities: dict[str, dict[str, object]] | None = None,
     ) -> InitializationOptions:
-        opts: Final = Server.create_initialization_options(
+        base_options: Final = Server.create_initialization_options(
             self,
             notification_options=notification_options,
             experimental_capabilities=experimental_capabilities or {},
         )
+        opts: Final = (
+            base_options.model_copy(
+                update={  # mutable-ok: Pydantic update payload
+                    "capabilities": base_options.capabilities.model_copy(
+                        update={"prompts": None, "resources": None}  # mutable-ok: Pydantic update payload
+                    )
+                }
+            )
+            if _mcp_proxy_mode.get()
+            else base_options
+        )
         updates: Final[dict[str, str]] = {}
         merged: Final = _mcp_gateway_initialize_instructions.get()
         if merged is not None:
@@ -822,17 +834,20 @@ if MCP_AVAILABLE:
                 "MCP list_tools - MCP server auth headers: %s",
                 list(mcp_server_auth_headers.keys()) if mcp_server_auth_headers else None,
             )
+            from mcp.types import Tool
+
+            from litellm.proxy._experimental.mcp_server.tool_search import (
+                get_mcp_proxy_tool_definitions,
+                get_virtual_tool_definitions,
+            )
+
+            if _mcp_proxy_mode.get():
+                return [Tool.model_validate(d) for d in get_mcp_proxy_tool_definitions()]  # mutable-ok: MCP SDK list
             if getattr(
                 getattr(user_api_key_auth, "object_permission", None),
                 "mcp_tool_search_enabled",
                 False,
             ):
-                from mcp.types import Tool
-
-                from litellm.proxy._experimental.mcp_server.tool_search import (
-                    get_virtual_tool_definitions,
-                )
-
                 return [Tool.model_validate(d) for d in get_virtual_tool_definitions()]
 
             # Get mcp_servers from context variable
@@ -906,6 +921,12 @@ if MCP_AVAILABLE:
         verbose_logger.debug("Host progressToken captured: %s...", str(host_token)[:8])
         return forward_progress
 
+    def _reject_mcp_proxy_operation() -> NoReturn:
+        from mcp.shared.exceptions import McpError
+        from mcp.types import METHOD_NOT_FOUND, ErrorData
+
+        raise McpError(ErrorData(code=METHOD_NOT_FOUND, message="Operation unavailable on /mcp/proxy"))
+
     async def _build_virtual_call_logging_obj(
         name: str,
         arguments: dict[str, object],
@@ -961,16 +982,53 @@ if MCP_AVAILABLE:
         from litellm.proxy._experimental.mcp_server.tool_search import (
             AGENT_SEARCH_TOOL_NAME,
             DEFAULT_AGENT_SEARCH_TOP_K,
+            MCP_PROXY_CALL_TOOL_NAME,
+            MCP_PROXY_TOOL_NAMES,
             MCP_TOOL_SEARCH_TOOL_NAME,
             SKILL_SEARCH_TOOL_NAME,
             VIRTUAL_TOOL_NAMES,
             coerce_top_k,
             handle_agent_search,
+            handle_mcp_proxy_tool,
             handle_mcp_tool_call,
             handle_mcp_tool_search,
             handle_skill_search,
         )
 
+        if _mcp_proxy_mode.get() and name not in MCP_PROXY_TOOL_NAMES:
+            return CallToolResult(
+                content=[  # mutable-ok: MCP result content
+                    TextContent(type="text", text=f"Tool {name} is unavailable on /mcp/proxy")
+                ],
+                isError=True,
+            )
+
+        if _mcp_proxy_mode.get() and name in MCP_PROXY_TOOL_NAMES:
+            assert user_api_key_auth is not None
+            proxy_logging_obj: Final = (
+                await _build_virtual_call_logging_obj(
+                    name=name,
+                    arguments=arguments or {},  # mutable-ok: logging pipeline payload
+                    user_api_key_auth=user_api_key_auth,
+                    raw_headers=raw_headers,
+                    client_ip=client_ip,
+                )
+                if name == MCP_PROXY_CALL_TOOL_NAME
+                else None
+            )
+            return await handle_mcp_proxy_tool(
+                name=name,
+                arguments=arguments or {},  # mutable-ok: proxy handler payload
+                user_api_key_dict=user_api_key_auth,
+                client_ip=client_ip,
+                mcp_servers=mcp_servers,
+                mcp_auth_header=mcp_auth_header,
+                mcp_server_auth_headers=mcp_server_auth_headers,
+                oauth2_headers=oauth2_headers,
+                raw_headers=raw_headers,
+                litellm_logging_obj=proxy_logging_obj,
+            )
+
         if name not in VIRTUAL_TOOL_NAMES:
             return None
 
@@ -1216,6 +1274,8 @@ if MCP_AVAILABLE:
         """
         List all available prompts
         """
+        if _mcp_proxy_mode.get():
+            _reject_mcp_proxy_operation()
         from mcp.server.lowlevel.server import request_ctx
 
         req_ctx: Final = request_ctx.get(None)
@@ -1273,8 +1333,8 @@ if MCP_AVAILABLE:
         Returns:
             GetPromptResult: Getting prompt execution results
         """
-
-        # Validate arguments
+        if _mcp_proxy_mode.get():
+            _reject_mcp_proxy_operation()
         from mcp.server.lowlevel.server import request_ctx
 
         req_ctx: Final = request_ctx.get(None)
@@ -1311,6 +1371,8 @@ if MCP_AVAILABLE:
     @server.list_resources()
     async def list_resources() -> list[Resource]:
         """List all available resources."""
+        if _mcp_proxy_mode.get():
+            _reject_mcp_proxy_operation()
         from mcp.server.lowlevel.server import request_ctx
 
         req_ctx: Final = request_ctx.get(None)
@@ -1355,6 +1417,8 @@ if MCP_AVAILABLE:
     @server.list_resource_templates()
     async def list_resource_templates() -> list[ResourceTemplate]:
         """List all available resource templates."""
+        if _mcp_proxy_mode.get():
+            _reject_mcp_proxy_operation()
         from mcp.server.lowlevel.server import request_ctx
 
         req_ctx: Final = request_ctx.get(None)
@@ -1400,6 +1464,8 @@ if MCP_AVAILABLE:
 
     @server.read_resource()
     async def read_resource(url: AnyUrl) -> list[ReadResourceContents]:
+        if _mcp_proxy_mode.get():
+            _reject_mcp_proxy_operation()
         from mcp.server.lowlevel.server import request_ctx
 
         req_ctx: Final = request_ctx.get(None)
@@ -1998,6 +2064,7 @@ if MCP_AVAILABLE:
         litellm_trace_id: str | None = None,
         request_tags: list[str] | None = None,
         client_ip: str | None = None,
+        mcp_proxy_mode: bool = False,
     ) -> AggregateToolListing:
         """
         Helper method to fetch tools from MCP servers based on server filtering criteria.
@@ -2177,9 +2244,14 @@ if MCP_AVAILABLE:
                         user_api_key_auth=user_api_key_auth,
                     )
 
-                    # Apply display-name/description overrides last so that
-                    # permission filtering always works against original names.
-                    filtered_tools = apply_tool_overrides(filtered_tools, server)
+                    if mcp_proxy_mode:
+                        from litellm.proxy._experimental.mcp_server.tool_search import with_mcp_proxy_identity
+
+                        filtered_tools = [  # mutable-ok: MCP tool pipeline
+                            with_mcp_proxy_identity(tool, server.server_id) for tool in filtered_tools
+                        ]
+                    else:
+                        filtered_tools = apply_tool_overrides(filtered_tools, server)
 
                     verbose_logger.debug(
                         "Successfully fetched %s tools from server %s, %s after filtering",
@@ -2491,6 +2563,7 @@ if MCP_AVAILABLE:
         log_list_tools_to_spendlogs: bool = False,
         list_tools_log_source: str | None = None,
         client_ip: str | None = None,
+        mcp_proxy_mode: bool = False,
     ) -> AggregateToolListing:
         """
         List all available MCP tools.
@@ -2520,6 +2593,7 @@ if MCP_AVAILABLE:
                 log_list_tools_to_spendlogs=log_list_tools_to_spendlogs,
                 list_tools_log_source=list_tools_log_source,
                 client_ip=client_ip,
+                mcp_proxy_mode=mcp_proxy_mode,
             )
             verbose_logger.debug("Successfully fetched %s tools from managed MCP servers", len(listing.tools))
             return listing
diff --git a/litellm/proxy/_experimental/mcp_server/tool_search.py b/litellm/proxy/_experimental/mcp_server/tool_search.py
index 24e2f5ce64d..2c73f9b863b 100644
--- a/litellm/proxy/_experimental/mcp_server/tool_search.py
+++ b/litellm/proxy/_experimental/mcp_server/tool_search.py
@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import hashlib
 import json
 from collections.abc import Mapping, Sequence
 from dataclasses import dataclass
@@ -30,6 +31,12 @@ if TYPE_CHECKING:
 MCP_TOOL_SEARCH_SETTINGS_KEY: Final[str] = "mcp_tool_search"
 MCP_TOOL_SEARCH_TOOL_NAME: Final[str] = "mcp_tool_search"
 MCP_TOOL_CALL_TOOL_NAME: Final[str] = "mcp_tool_call"
+MCP_PROXY_SEARCH_TOOL_NAME: Final[str] = "search_tools"
+MCP_PROXY_SCHEMA_TOOL_NAME: Final[str] = "get_tool_schema"
+MCP_PROXY_CALL_TOOL_NAME: Final[str] = "call_tool"
+MCP_PROXY_TOOL_NAMES: Final = frozenset(
+    (MCP_PROXY_SEARCH_TOOL_NAME, MCP_PROXY_SCHEMA_TOOL_NAME, MCP_PROXY_CALL_TOOL_NAME)
+)
 AGENT_SEARCH_TOOL_NAME: Final[str] = "agent_search"
 SKILL_SEARCH_TOOL_NAME: Final[str] = "skill_search"
 VIRTUAL_TOOL_NAMES: Final = frozenset(
@@ -51,6 +58,29 @@ class ToolSearchResult(TypedDict, total=False):
     score: ReadOnly[float]
 
 
+class MCPProxySearchResult(TypedDict, total=False):
+    tool_id: Required[ReadOnly[str]]
+    name: Required[ReadOnly[str]]
+    description: Required[ReadOnly[str]]
+    score: ReadOnly[float]
+
+
+class MCPProxySchemaResult(MCPProxySearchResult, total=False):
+    inputSchema: Required[ReadOnly[Mapping[str, object]]]
+    outputSchema: ReadOnly[Mapping[str, object]]
+
+
+class MCPProxyToolIdentity(TypedDict):
+    server_id: ReadOnly[str]
+    tool_name: ReadOnly[str]
+
+
+@dataclass(frozen=True, slots=True)
+class MCPToolSearchHit:
+    tool: Tool
+    score: float | None = None
+
+
 @dataclass(frozen=True, slots=True)
 class SemanticToolRanker:
     embed: Embedder
@@ -76,6 +106,55 @@ def _scored_result(tool: Tool, score: float) -> ToolSearchResult:
     return {"name": tool.name, "description": tool.description or "", "inputSchema": tool.inputSchema, "score": score}
 
 
+_MCP_PROXY_IDENTITY_META_KEY: Final[str] = "litellm.ai/proxy_tool_identity"
+
+
+def with_mcp_proxy_identity(tool: Tool, server_id: str) -> Tool:
+    identity: Final[MCPProxyToolIdentity] = {"server_id": server_id, "tool_name": tool.name}
+    return tool.model_copy(  # mutable-ok: Pydantic requires mutable update and metadata mappings
+        update={  # mutable-ok: Pydantic update payload
+            "meta": {**(tool.meta or {}), _MCP_PROXY_IDENTITY_META_KEY: identity}  # mutable-ok: metadata mapping
+        }
+    )
+
+
+def _mcp_proxy_identity(tool: Tool) -> MCPProxyToolIdentity:
+    identity: Final = (tool.meta or {}).get(_MCP_PROXY_IDENTITY_META_KEY)  # mutable-ok: absent metadata default
+    if not isinstance(identity, Mapping):
+        raise TypeError("MCP proxy tool identity is missing")
+    server_id: Final = identity.get("server_id")
+    tool_name: Final = identity.get("tool_name")
+    if not isinstance(server_id, str) or not isinstance(tool_name, str):
+        raise TypeError("MCP proxy tool identity is invalid")
+    return {"server_id": server_id, "tool_name": tool_name}  # mutable-ok: TypedDict identity payload
+
+
+def mcp_proxy_tool_id(tool: Tool) -> str:
+    identity: Final = _mcp_proxy_identity(tool)
+    return hashlib.sha256(f"{identity['server_id']}\0{identity['tool_name']}".encode()).hexdigest()[:32]
+
+
+def _proxy_search_result(hit: MCPToolSearchHit) -> MCPProxySearchResult:
+    base: Final[MCPProxySearchResult] = {
+        "tool_id": mcp_proxy_tool_id(hit.tool),
+        "name": hit.tool.name,
+        "description": hit.tool.description or "",
+    }
+    return {**base, "score": hit.score} if hit.score is not None else base  # mutable-ok: wire result payload
+
+
+def _proxy_schema_result(tool: Tool) -> MCPProxySchemaResult:
+    base: Final[MCPProxySchemaResult] = {
+        "tool_id": mcp_proxy_tool_id(tool),
+        "name": tool.name,
+        "description": tool.description or "",
+        "inputSchema": tool.inputSchema,
+    }
+    if tool.outputSchema is None:
+        return base
+    return {**base, "outputSchema": tool.outputSchema}  # mutable-ok: wire schema payload
+
+
 def _tool_text(tool: Tool) -> str:
     return "\n".join(part for part in (tool.name, tool.description or "") if part)
 
@@ -107,6 +186,38 @@ def search_tools(query: str, tools: Sequence[Tool], top_k: int = 5) -> tuple[Too
     return tuple(_tool_result(tool) for _, tool in _top_hits(tools, scores, minimum=1.0, limit=top_k))
 
 
+async def rank_mcp_tools(
+    query: str,
+    tools: Sequence[Tool],
+    top_k: int,
+    settings: MCPToolSearchSettings,
+    ranker: SemanticToolRanker | None,
+) -> tuple[MCPToolSearchHit, ...] | EmbeddingFailed:
+    core, rest = _split_core_tools(tools, settings.core_tools)
+    core_hits: Final = tuple(MCPToolSearchHit(tool) for tool in core)
+    if not query:
+        return core_hits
+    limit: Final = min(top_k, settings.top_k)
+    if ranker is None:
+        scores: Final = tuple(_keyword_score(query, tool) for tool in rest)
+        return (
+            *core_hits,
+            *(MCPToolSearchHit(tool) for _, tool in _top_hits(rest, scores, minimum=1.0, limit=limit)),
+        )
+    semantic_scores: Final = await ranker.index.scores(
+        query, tuple(_tool_text(tool) for tool in rest), ranker.embed, ranker.embedding_model
+    )
+    if isinstance(semantic_scores, EmbeddingFailed):
+        return semantic_scores
+    return (
+        *core_hits,
+        *(
+            MCPToolSearchHit(tool, score)
+            for score, tool in _top_hits(rest, semantic_scores, settings.similarity_threshold, limit)
+        ),
+    )
+
+
 async def search_mcp_tools(
     query: str,
     tools: Sequence[Tool],
@@ -114,21 +225,12 @@ async def search_mcp_tools(
     settings: MCPToolSearchSettings,
     ranker: SemanticToolRanker | None,
 ) -> tuple[ToolSearchResult, ...] | EmbeddingFailed:
-    """Core tools the caller can access come first, then up to `top_k` ranked matches from the remaining tools."""
-    core, rest = _split_core_tools(tools, settings.core_tools)
-    limit: Final = min(top_k, settings.top_k)
-    core_results: Final = tuple(_tool_result(tool) for tool in core)
-    if ranker is None:
-        return (*core_results, *search_tools(query, rest, limit))
-    if not query:
-        return core_results
-    scores: Final = await ranker.index.scores(
-        query, tuple(_tool_text(tool) for tool in rest), ranker.embed, ranker.embedding_model
+    hits: Final = await rank_mcp_tools(query, tools, top_k, settings, ranker)
+    if isinstance(hits, EmbeddingFailed):
+        return hits
+    return tuple(
+        _scored_result(hit.tool, hit.score) if hit.score is not None else _tool_result(hit.tool) for hit in hits
     )
-    if isinstance(scores, EmbeddingFailed):
-        return scores
-    hits: Final = _top_hits(rest, scores, minimum=settings.similarity_threshold, limit=limit)
-    return (*core_results, *(_scored_result(tool, score) for score, tool in hits))
 
 
 class _ToolParamSchema(TypedDict, total=False):
@@ -223,10 +325,48 @@ _SKILL_SEARCH_DEFINITION: Final[VirtualToolDefinition] = {
 }
 
 
+_MCP_PROXY_SEARCH_DEFINITION: Final[VirtualToolDefinition] = {
+    "name": MCP_PROXY_SEARCH_TOOL_NAME,
+    "description": "Search accessible MCP tools by describing what you need. Returns opaque tool IDs.",
+    "inputSchema": {
+        "type": "object",
+        "properties": {"query": {"type": "string", "description": "What the tool should do."}},
+        "required": _json_array("query"),
+    },
+}
+
+_MCP_PROXY_SCHEMA_DEFINITION: Final[VirtualToolDefinition] = {
+    "name": MCP_PROXY_SCHEMA_TOOL_NAME,
+    "description": "Return the complete schema for an accessible MCP tool ID.",
+    "inputSchema": {
+        "type": "object",
+        "properties": {"tool_id": {"type": "string", "description": "Opaque ID from search_tools."}},
+        "required": _json_array("tool_id"),
+    },
+}
+
+_MCP_PROXY_CALL_DEFINITION: Final[VirtualToolDefinition] = {
+    "name": MCP_PROXY_CALL_TOOL_NAME,
+    "description": "Call an accessible MCP tool by opaque ID with schema-valid arguments.",
+    "inputSchema": {
+        "type": "object",
+        "properties": {
+            "tool_id": {"type": "string", "description": "Opaque ID from search_tools."},
+            "arguments": {"type": "object", "description": "Arguments validated against the selected tool schema."},
+        },
+        "required": _json_array("tool_id"),
+    },
+}
+
+
 def get_virtual_tool_definitions() -> tuple[VirtualToolDefinition, ...]:
     return (_MCP_TOOL_SEARCH_DEFINITION, _MCP_TOOL_CALL_DEFINITION, _AGENT_SEARCH_DEFINITION, _SKILL_SEARCH_DEFINITION)
 
 
+def get_mcp_proxy_tool_definitions() -> tuple[VirtualToolDefinition, ...]:
+    return (_MCP_PROXY_SEARCH_DEFINITION, _MCP_PROXY_SCHEMA_DEFINITION, _MCP_PROXY_CALL_DEFINITION)
+
+
 def _text_tool_result(text: str, is_error: bool) -> CallToolResult:
     from mcp.types import CallToolResult, TextContent
 
@@ -314,7 +454,9 @@ async def handle_mcp_tool_search(
     oauth2_headers: dict[str, str] | None = None,
     raw_headers: dict[str, str] | None = None,
 ) -> CallToolResult:
-    from litellm.proxy._experimental.mcp_server.server import _list_mcp_tools
+    from litellm.proxy._experimental.mcp_server.server import (
+        _list_mcp_tools,  # pyright: ignore[reportPrivateUsage]  # shared catalog owner
+    )
     from litellm.proxy.proxy_server import llm_router, proxy_logging_obj
 
     settings: Final = mcp_tool_search_settings()
@@ -351,6 +493,97 @@ async def handle_mcp_tool_search(
     return _text_tool_result(json.dumps(results), is_error=False)
 
 
+async def handle_mcp_proxy_tool(
+    name: str,
+    arguments: dict[str, object],  # mutable-ok: MCP dispatcher passes mutable call arguments
+    user_api_key_dict: UserAPIKeyAuth,
+    client_ip: str | None = None,
+    mcp_servers: list[str] | None = None,  # mutable-ok: preserve MCP scope container for existing resolver
+    mcp_auth_header: str | None = None,
+    mcp_server_auth_headers: dict[str, dict[str, str]] | None = None,  # mutable-ok: preserve forwarded headers
+    oauth2_headers: dict[str, str] | None = None,  # mutable-ok: preserve forwarded headers
+    raw_headers: dict[str, str] | None = None,  # mutable-ok: preserve request headers
+    litellm_logging_obj: LiteLLMLoggingObj | None = None,
+) -> CallToolResult:
+    from fastapi import HTTPException
+    from jsonschema import ValidationError as JsonSchemaValidationError
+    from jsonschema import validate
+
+    from litellm.proxy import proxy_server
+    from litellm.proxy._experimental.mcp_server.server import (  # pyright: ignore[reportPrivateUsage]  # shared catalog owner
+        _list_mcp_tools,  # pyright: ignore[reportPrivateUsage]  # shared catalog owner
+    )
+
+    listing: Final = await _list_mcp_tools(
+        user_api_key_auth=user_api_key_dict,
+        mcp_servers=mcp_servers,
+        client_ip=client_ip,
+        mcp_auth_header=mcp_auth_header,
+        mcp_server_auth_headers=mcp_server_auth_headers,
+        oauth2_headers=oauth2_headers,
+        raw_headers=raw_headers,
+        mcp_proxy_mode=True,
+    )
+    tools_by_id: Final = {mcp_proxy_tool_id(tool): tool for tool in listing.tools}  # mutable-ok: lookup index
+
+    if name == MCP_PROXY_SEARCH_TOOL_NAME:
+        llm_router: Final = proxy_server.llm_router
+        proxy_logging_obj: Final = proxy_server.proxy_logging_obj
+        settings: Final = mcp_tool_search_settings()
+        if isinstance(settings, ValidationError):
+            return _text_tool_result(str(settings), is_error=True)
+        if settings.embedding_model is not None and llm_router is None:
+            return _text_tool_result(
+                f"litellm_settings.{MCP_TOOL_SEARCH_SETTINGS_KEY}.embedding_model needs a model_list so it can be called",
+                is_error=True,
+            )
+        ranker: Final = (
+            SemanticToolRanker(
+                embed=router_embedder(llm_router, settings.embedding_model, user_api_key_dict, proxy_logging_obj),
+                embedding_model=settings.embedding_model,
+                index=global_mcp_tool_search_index,
+            )
+            if settings.embedding_model is not None and llm_router is not None
+            else None
+        )
+        results: Final = await rank_mcp_tools(str(arguments.get("query", "")), listing.tools, 5, settings, ranker)
+        if isinstance(results, EmbeddingFailed):
+            return _text_tool_result(results.reason, is_error=True)
+        return _text_tool_result(json.dumps(tuple(_proxy_search_result(hit) for hit in results)), is_error=False)
+
+    tool_id: Final = arguments.get("tool_id")
+    tool: Final = tools_by_id.get(tool_id) if isinstance(tool_id, str) else None
+    if tool is None:
+        return _text_tool_result("Unknown or unauthorized tool_id", is_error=True)
+
+    if name == MCP_PROXY_SCHEMA_TOOL_NAME:
+        return _text_tool_result(json.dumps(_proxy_schema_result(tool)), is_error=False)
+    if name != MCP_PROXY_CALL_TOOL_NAME:
+        raise HTTPException(status_code=400, detail=f"Unknown MCP proxy tool: {name}")
+
+    tool_arguments: Final = arguments.get("arguments", {})  # mutable-ok: JSON Schema validator consumes mapping
+    if not isinstance(tool_arguments, dict):
+        return _text_tool_result("arguments must be an object", is_error=True)
+    try:
+        validate(instance=tool_arguments, schema=tool.inputSchema)
+    except JsonSchemaValidationError as exc:
+        return _text_tool_result(f"Invalid arguments: {exc.message}", is_error=True)
+
+    return await handle_mcp_tool_call(
+        tool_name=_mcp_proxy_identity(tool)["tool_name"],
+        arguments=tool_arguments,
+        user_api_key_dict=user_api_key_dict,
+        requested_server_id=_mcp_proxy_identity(tool)["server_id"],
+        client_ip=client_ip,
+        mcp_servers=mcp_servers,
+        mcp_auth_header=mcp_auth_header,
+        mcp_server_auth_headers=mcp_server_auth_headers,
+        oauth2_headers=oauth2_headers,
+        raw_headers=raw_headers,
+        litellm_logging_obj=litellm_logging_obj,
+    )
+
+
 async def handle_mcp_tool_call(
     tool_name: str,
     arguments: dict[str, Any],
@@ -362,6 +595,7 @@ async def handle_mcp_tool_call(
     oauth2_headers: dict[str, str] | None = None,
     raw_headers: dict[str, str] | None = None,
     litellm_logging_obj: LiteLLMLoggingObj | None = None,
+    requested_server_id: str | None = None,
 ) -> CallToolResult:
     from litellm.proxy._experimental.mcp_server.server import (
         _get_allowed_mcp_servers,
@@ -400,4 +634,5 @@ async def handle_mcp_tool_call(
         oauth2_headers=oauth2_headers,
         raw_headers=raw_headers,
         litellm_logging_obj=litellm_logging_obj,
+        requested_server_id=requested_server_id,
     )
diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json
index 71475320c2c..4d5cdcc8003 100644
--- a/litellm/proxy/_lazy_openapi_snapshot.json
+++ b/litellm/proxy/_lazy_openapi_snapshot.json
@@ -17027,6 +17027,134 @@
             "mcp_app"
           ]
         }
+      },
+      "/mcp/proxy": {
+        "delete": {
+          "description": "Serve the fixed three-tool MCP proxy surface.",
+          "operationId": "proxy_mcp_route_mcp_proxy_delete",
+          "responses": {
+            "200": {
+              "content": {
+                "application/json": {
+                  "schema": {}
+                }
+              },
+              "description": "Successful Response"
+            }
+          },
+          "summary": "Proxy Mcp Route",
+          "tags": [
+            "mcp_app"
+          ]
+        },
+        "get": {
+          "description": "Serve the fixed three-tool MCP proxy surface.",
+          "operationId": "proxy_mcp_route_mcp_proxy_get",
+          "responses": {
+            "200": {
+              "content": {
+                "application/json": {
+                  "schema": {}
+                }
+              },
+              "description": "Successful Response"
+            }
+          },
+          "summary": "Proxy Mcp Route",
+          "tags": [
+            "mcp_app"
+          ]
+        },
+        "head": {
+          "description": "Serve the fixed three-tool MCP proxy surface.",
+          "operationId": "proxy_mcp_route_mcp_proxy_head",
+          "responses": {
+            "200": {
+              "content": {
+                "application/json": {
+                  "schema": {}
+                }
+              },
+              "description": "Successful Response"
+            }
+          },
+          "summary": "Proxy Mcp Route",
+          "tags": [
+            "mcp_app"
+          ]
+        },
+        "options": {
+          "description": "Serve the fixed three-tool MCP proxy surface.",
+          "operationId": "proxy_mcp_route_mcp_proxy_options",
+          "responses": {
+            "200": {
+              "content": {
+                "application/json": {
+                  "schema": {}
+                }
+              },
+              "description": "Successful Response"
+            }
+          },
+          "summary": "Proxy Mcp Route",
+          "tags": [
+            "mcp_app"
+          ]
+        },
+        "patch": {
+          "description": "Serve the fixed three-tool MCP proxy surface.",
+          "operationId": "proxy_mcp_route_mcp_proxy_patch",
+          "responses": {
+            "200": {
+              "content": {
+                "application/json": {
+                  "schema": {}
+                }
+              },
+              "description": "Successful Response"
+            }
+          },
+          "summary": "Proxy Mcp Route",
+          "tags": [
+            "mcp_app"
+          ]
+        },
+        "post": {
+          "description": "Serve the fixed three-tool MCP proxy surface.",
+          "operationId": "proxy_mcp_route_mcp_proxy_post",
+          "responses": {
+            "200": {
+              "content": {
+                "application/json": {
+                  "schema": {}
+                }
+              },
+              "description": "Successful Response"
+            }
+          },
+          "summary": "Proxy Mcp Route",
+          "tags": [
+            "mcp_app"
+          ]
+        },
+        "put": {
+          "description": "Serve the fixed three-tool MCP proxy surface.",
+          "operationId": "proxy_mcp_route_mcp_proxy_put",
+          "responses": {
+            "200": {
+              "content": {
+                "application/json": {
+                  "schema": {}
+                }
+              },
+              "description": "Successful Response"
+            }
+          },
+          "summary": "Proxy Mcp Route",
+          "tags": [
+            "mcp_app"
+          ]
+        }
       }
     }
   },
diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 1c8608305a2..d746cfd38d8 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -502,6 +502,7 @@ class LiteLLMRoutes(enum.Enum):
     mcp_inference_routes = [
         "/mcp",
         "/mcp/",
+        "/mcp/proxy",
         "/mcp/{subpath}",
         "/mcp/tools",
         "/mcp/tools/list",
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index a617aec9f5c..b22e9bba15b 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -18484,6 +18484,31 @@ async def _stream_mcp_asgi_response(handle_fn, scope: dict, receive) -> "Streami
 ########################################################
 
 
+@app.api_route(
+    "/mcp/proxy",
+    methods=["GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD"],  # mutable-ok: FastAPI route methods
+)
+async def proxy_mcp_route(request: Request) -> Response:
+    """Serve the fixed three-tool MCP proxy surface."""
+    from litellm.proxy._experimental.mcp_server.mcp_context import (  # pyright: ignore[reportPrivateUsage]  # route-owned mode
+        _mcp_proxy_mode,  # pyright: ignore[reportPrivateUsage]  # route-owned mode
+    )
+    from litellm.proxy._experimental.mcp_server.server import handle_streamable_http_mcp
+    from litellm.proxy._experimental.mcp_server.utils import is_mcp_available
+
+    if not is_mcp_available():
+        raise HTTPException(status_code=404, detail="Not Found")
+
+    token: Final = _mcp_proxy_mode.set(True)
+    try:
+        scope: Final = dict(request.scope)  # mutable-ok: ASGI scope rewrite
+        scope["_original_path"] = scope.get("path", "")
+        scope["path"] = BASE_MCP_ROUTE
+        return await _stream_mcp_asgi_response(handle_streamable_http_mcp, scope, request.receive)
+    finally:
+        _mcp_proxy_mode.reset(token)
+
+
 @app.api_route(
     BASE_MCP_ROUTE,
     methods=["GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD"],
diff --git a/tests/mcp_tests/test_proxy_mcp_e2e.py b/tests/mcp_tests/test_proxy_mcp_e2e.py
index 2dd57e13d3b..a97eed82e18 100644
--- a/tests/mcp_tests/test_proxy_mcp_e2e.py
+++ b/tests/mcp_tests/test_proxy_mcp_e2e.py
@@ -1,4 +1,5 @@
 import asyncio
+import json
 import os
 import socket
 import subprocess
@@ -134,15 +135,11 @@ def math_streamable_http_server() -> str:
 
 
 @pytest.fixture(scope="session")
-def proxy_server_url(
-    tmp_path_factory: pytest.TempPathFactory, math_streamable_http_server: str
-):
+def proxy_server_url(tmp_path_factory: pytest.TempPathFactory, math_streamable_http_server: str):
     config_dir = tmp_path_factory.mktemp("mcp_e2e")
     config_path = config_dir / "config.yaml"
     config = yaml.safe_load(CONFIG_TEMPLATE_PATH.read_text())
-    config["mcp_servers"]["math_streamable_http"][
-        "url"
-    ] = f"{math_streamable_http_server}/mcp"
+    config["mcp_servers"]["math_streamable_http"]["url"] = f"{math_streamable_http_server}/mcp"
     config_path.write_text(yaml.safe_dump(config))
 
     server_url, server, thread, sock = _start_proxy_server(str(config_path))
@@ -177,9 +174,7 @@ class TestProxyMcpSimpleConnections:
                     assert text == "7"
 
     @pytest.mark.asyncio
-    async def test_proxy_mcp_streamable_http_roundtrip(
-        self, proxy_server_url: str
-    ) -> None:
+    async def test_proxy_mcp_streamable_http_roundtrip(self, proxy_server_url: str) -> None:
         async with asyncio.timeout(20):
             async with streamablehttp_client(
                 url=f"{proxy_server_url}/mcp",
@@ -200,9 +195,7 @@ class TestProxyMcpSimpleConnections:
                     assert text == "11"
 
     @pytest.mark.asyncio
-    async def test_proxy_mcp_lists_all_servers_without_header(
-        self, proxy_server_url: str
-    ) -> None:
+    async def test_proxy_mcp_lists_all_servers_without_header(self, proxy_server_url: str) -> None:
         async with asyncio.timeout(20):
             async with streamablehttp_client(
                 url=f"{proxy_server_url}/mcp",
@@ -220,20 +213,14 @@ class TestProxyMcpSimpleConnections:
                     }
                     assert expected_tool_names <= tool_names
 
-                    async def _call_and_get_text(
-                        tool_name: str, *, a: int, b: int
-                    ) -> str | None:
-                        result = await session.call_tool(
-                            tool_name, arguments={"a": a, "b": b}
-                        )
+                    async def _call_and_get_text(tool_name: str, *, a: int, b: int) -> str | None:
+                        result = await session.call_tool(tool_name, arguments={"a": a, "b": b})
                         assert result.content
                         first_content = result.content[0]
                         return getattr(first_content, "text", None)
 
                     stdio_result = await _call_and_get_text("math_stdio-add", a=2, b=3)
-                    streamable_result = await _call_and_get_text(
-                        "math_streamable_http-add", a=4, b=5
-                    )
+                    streamable_result = await _call_and_get_text("math_streamable_http-add", a=4, b=5)
                     assert stdio_result == "5"
                     assert streamable_result == "9"
 
@@ -254,9 +241,7 @@ class TestProxyMcpStatelessBehavior:
     """
 
     @pytest.mark.asyncio
-    async def test_independent_clients_no_shared_session(
-        self, proxy_server_url: str
-    ) -> None:
+    async def test_independent_clients_no_shared_session(self, proxy_server_url: str) -> None:
         """Two independent clients connect and operate without sharing session state."""
         async with asyncio.timeout(30):
             # --- Client A: connect, initialize, call tool ---
@@ -269,9 +254,7 @@ class TestProxyMcpStatelessBehavior:
             ) as (read_a, write_a, _get_sid_a):
                 async with ClientSession(read_a, write_a) as session_a:
                     await session_a.initialize()
-                    result_a = await session_a.call_tool(
-                        "add", arguments={"a": 10, "b": 20}
-                    )
+                    result_a = await session_a.call_tool("add", arguments={"a": 10, "b": 20})
                     assert result_a.content
                     text_a = getattr(result_a.content[0], "text", None)
                     assert text_a == "30"
@@ -293,9 +276,118 @@ class TestProxyMcpStatelessBehavior:
                     await session_b.initialize()
                     tools = await session_b.list_tools()
                     assert any(t.name.endswith("add") for t in tools.tools)
-                    result_b = await session_b.call_tool(
-                        "add", arguments={"a": 100, "b": 200}
-                    )
+                    result_b = await session_b.call_tool("add", arguments={"a": 100, "b": 200})
                     assert result_b.content
                     text_b = getattr(result_b.content[0], "text", None)
                     assert text_b == "300"
+
+
+PROXY_MODE_TOOLS = frozenset({"search_tools", "get_tool_schema", "call_tool"})
+
+
+def _payload(result: typing.Any) -> typing.Any:
+    assert result.content, f"empty tool result: {result}"
+    return json.loads(result.content[0].text)
+
+
+def _proxy_session(proxy_server_url: str, **extra_headers: str):
+    return streamablehttp_client(
+        url=f"{proxy_server_url}/mcp/proxy",
+        headers={"Authorization": PROXY_AUTHORIZATION_HEADER, **extra_headers},
+    )
+
+
+class TestProxyMcpSchemaDiscoveryMode:
+    """Drive /mcp/proxy over the real streamable-HTTP transport with the MCP SDK client:
+    the fixed three-tool surface, opaque-id discovery, schema-validated execution against
+    two upstreams that expose the same tool name, and the operations the surface refuses."""
+
+    @pytest.mark.asyncio
+    async def test_initialize_and_list_expose_only_discovery_tools(self, proxy_server_url: str) -> None:
+        async with asyncio.timeout(20):
+            async with _proxy_session(proxy_server_url) as (read, write, _sid):
+                async with ClientSession(read, write) as session:
+                    init = await session.initialize()
+                    assert init.capabilities.tools is not None
+                    assert init.capabilities.prompts is None
+                    assert init.capabilities.resources is None
+
+                    listed = await session.list_tools()
+                    assert {tool.name for tool in listed.tools} == PROXY_MODE_TOOLS
+
+    @pytest.mark.asyncio
+    async def test_search_schema_and_call_round_trip_keeps_server_identity(self, proxy_server_url: str) -> None:
+        async with asyncio.timeout(30):
+            async with _proxy_session(proxy_server_url) as (read, write, _sid):
+                async with ClientSession(read, write) as session:
+                    await session.initialize()
+
+                    hits = _payload(await session.call_tool("search_tools", arguments={"query": "add"}))
+                    by_name = {hit["name"]: hit for hit in hits}
+                    assert {"math_stdio-add", "math_streamable_http-add"} <= set(by_name)
+                    assert all("inputSchema" not in hit for hit in hits)
+                    assert by_name["math_stdio-add"]["tool_id"] != by_name["math_streamable_http-add"]["tool_id"]
+
+                    schema = _payload(
+                        await session.call_tool(
+                            "get_tool_schema", arguments={"tool_id": by_name["math_stdio-add"]["tool_id"]}
+                        )
+                    )
+                    assert schema["name"] == "math_stdio-add"
+                    assert set(schema["inputSchema"]["required"]) == {"a", "b"}
+                    assert schema["outputSchema"]["properties"]["result"]["type"] == "integer"
+
+                    stdio = await session.call_tool(
+                        "call_tool",
+                        arguments={"tool_id": by_name["math_stdio-add"]["tool_id"], "arguments": {"a": 3, "b": 4}},
+                    )
+                    http = await session.call_tool(
+                        "call_tool",
+                        arguments={
+                            "tool_id": by_name["math_streamable_http-add"]["tool_id"],
+                            "arguments": {"a": 5, "b": 6},
+                        },
+                    )
+                    assert stdio.isError is False and stdio.content[0].text == "7"
+                    assert http.isError is False and http.content[0].text == "11"
+
+    @pytest.mark.asyncio
+    async def test_server_scope_header_narrows_discovery(self, proxy_server_url: str) -> None:
+        async with asyncio.timeout(20):
+            async with _proxy_session(proxy_server_url, **{"x-mcp-servers": "math_streamable_http"}) as (
+                read,
+                write,
+                _sid,
+            ):
+                async with ClientSession(read, write) as session:
+                    await session.initialize()
+                    hits = _payload(await session.call_tool("search_tools", arguments={"query": "add"}))
+                    assert {hit["name"] for hit in hits} == {"math_streamable_http-add"}
+
+    @pytest.mark.asyncio
+    async def test_rejections_never_reach_upstream(self, proxy_server_url: str) -> None:
+        from mcp.shared.exceptions import McpError
+        from mcp.types import METHOD_NOT_FOUND
+
+        async with asyncio.timeout(30):
+            async with _proxy_session(proxy_server_url) as (read, write, _sid):
+                async with ClientSession(read, write) as session:
+                    await session.initialize()
+                    hits = _payload(await session.call_tool("search_tools", arguments={"query": "add"}))
+                    tool_id = next(hit["tool_id"] for hit in hits if hit["name"] == "math_stdio-add")
+
+                    bad_args = await session.call_tool(
+                        "call_tool", arguments={"tool_id": tool_id, "arguments": {"a": "three", "b": 4}}
+                    )
+                    assert bad_args.isError is True and "Invalid arguments" in bad_args.content[0].text
+
+                    stale = await session.call_tool("get_tool_schema", arguments={"tool_id": "0" * 32})
+                    assert stale.isError is True and "unauthorized tool_id" in stale.content[0].text
+
+                    direct = await session.call_tool("math_stdio-add", arguments={"a": 1, "b": 2})
+                    assert direct.isError is True and "unavailable on /mcp/proxy" in direct.content[0].text
+
+                    for operation in (session.list_prompts, session.list_resources):
+                        with pytest.raises(McpError) as refused:
+                            await operation()
+                        assert refused.value.error.code == METHOD_NOT_FOUND
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
new file mode 100644
index 00000000000..e86fc27fed7
--- /dev/null
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
@@ -0,0 +1,354 @@
+import json
+from collections.abc import Iterator
+from unittest.mock import AsyncMock, patch
+
+import pytest
+from mcp.types import CallToolResult, TextContent, Tool
+
+from litellm.proxy._experimental.mcp_server import server
+from litellm.proxy._experimental.mcp_server.faults.list_outcomes import AggregateToolListing
+from litellm.proxy._experimental.mcp_server.mcp_server_manager import global_mcp_server_manager
+from litellm.proxy._experimental.mcp_server.tool_search import (
+    MCP_PROXY_CALL_TOOL_NAME,
+    MCP_PROXY_SCHEMA_TOOL_NAME,
+    MCP_PROXY_SEARCH_TOOL_NAME,
+    handle_mcp_proxy_tool,
+    mcp_proxy_tool_id,
+    with_mcp_proxy_identity,
+)
+from litellm.proxy._types import LiteLLM_ObjectPermissionTable, UserAPIKeyAuth
+from litellm.types.mcp import MCPTransport
+from litellm.types.mcp_server.mcp_server_manager import MCPServer
+
+TOOL = Tool.model_validate(
+    {
+        "name": "math_stdio-add",
+        "description": "Add two numbers",
+        "inputSchema": {
+            "type": "object",
+            "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
+            "required": ["a", "b"],
+        },
+        "outputSchema": {"type": "object"},
+        "_meta": {"litellm.ai/proxy_tool_identity": {"server_id": "server-1", "tool_name": "math_stdio-add"}},
+    }
+)
+AUTH = UserAPIKeyAuth(api_key="key")
+
+
+def _text(result: CallToolResult) -> object:
+    return json.loads(result.content[0].text)
+
+
+@pytest.mark.asyncio
+async def test_proxy_search_returns_opaque_id_and_schema() -> None:
+    with (
+        patch(  # test-quality-ok: isolate authorized catalog owner
+            "litellm.proxy._experimental.mcp_server.server._list_mcp_tools",
+            new_callable=AsyncMock,
+            return_value=AggregateToolListing(tools=[TOOL], outcomes={}),
+        ),
+    ):
+        result = await handle_mcp_proxy_tool(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "add"}, AUTH)
+
+    item = _text(result)[0]
+    assert item["tool_id"] == mcp_proxy_tool_id(TOOL)
+    assert item["name"] == TOOL.name
+    assert "inputSchema" not in item
+    assert "outputSchema" not in item
+    assert len(item["tool_id"]) == 32
+
+
+@pytest.mark.asyncio
+async def test_proxy_schema_and_call_resolve_current_authorized_catalog() -> None:
+    executed = CallToolResult(content=[TextContent(type="text", text="3")], isError=False)
+    with (
+        patch(  # test-quality-ok: isolate authorized catalog owner
+            "litellm.proxy._experimental.mcp_server.server._list_mcp_tools",
+            new_callable=AsyncMock,
+            return_value=AggregateToolListing(tools=[TOOL], outcomes={}),
+        ),
+        patch(  # test-quality-ok: isolate execution delegate seam
+            "litellm.proxy._experimental.mcp_server.tool_search.handle_mcp_tool_call",
+            new_callable=AsyncMock,
+            return_value=executed,
+        ) as call,
+    ):
+        schema = await handle_mcp_proxy_tool(
+            MCP_PROXY_SCHEMA_TOOL_NAME,
+            {"tool_id": mcp_proxy_tool_id(TOOL)},
+            AUTH,
+        )
+        result = await handle_mcp_proxy_tool(
+            MCP_PROXY_CALL_TOOL_NAME,
+            {"tool_id": mcp_proxy_tool_id(TOOL), "arguments": {"a": 1, "b": 2}},
+            AUTH,
+        )
+
+    assert _text(schema)["inputSchema"] == TOOL.inputSchema
+    assert result is executed
+    assert call.await_args.kwargs["tool_name"] == TOOL.name
+    assert call.await_args.kwargs["arguments"] == {"a": 1, "b": 2}
+    assert call.await_args.kwargs["requested_server_id"] == "server-1"
+
+
+@pytest.mark.asyncio
+async def test_proxy_rejects_stale_id_and_invalid_arguments_before_dispatch() -> None:
+    with (
+        patch(  # test-quality-ok: isolate authorized catalog owner
+            "litellm.proxy._experimental.mcp_server.server._list_mcp_tools",
+            new_callable=AsyncMock,
+            return_value=AggregateToolListing(tools=[TOOL], outcomes={}),
+        ),
+        patch(  # test-quality-ok: isolate execution delegate seam
+            "litellm.proxy._experimental.mcp_server.tool_search.handle_mcp_tool_call", new_callable=AsyncMock
+        ) as call,
+    ):
+        stale = await handle_mcp_proxy_tool(MCP_PROXY_SCHEMA_TOOL_NAME, {"tool_id": "stale"}, AUTH)
+        invalid = await handle_mcp_proxy_tool(
+            MCP_PROXY_CALL_TOOL_NAME,
+            {"tool_id": mcp_proxy_tool_id(TOOL), "arguments": "wrong"},
+            AUTH,
+        )
+        falsy = await handle_mcp_proxy_tool(
+            MCP_PROXY_CALL_TOOL_NAME,
+            {"tool_id": mcp_proxy_tool_id(TOOL), "arguments": False},
+            AUTH,
+        )
+        invalid_schema = await handle_mcp_proxy_tool(
+            MCP_PROXY_CALL_TOOL_NAME,
+            {"tool_id": mcp_proxy_tool_id(TOOL), "arguments": {"a": "wrong"}},
+            AUTH,
+        )
+
+    assert stale.isError is True
+    assert invalid.isError is True
+    assert falsy.isError is True
+    assert invalid_schema.isError is True
+    call.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_proxy_call_builds_logging_object() -> None:
+    from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
+
+    sentinel = object()
+    result = CallToolResult(content=[TextContent(type="text", text="ok")], isError=False)
+    token = _mcp_proxy_mode.set(True)
+    try:
+        with (
+            patch.object(  # test-quality-ok: isolate logging pipeline seam
+                server, "_build_virtual_call_logging_obj", new_callable=AsyncMock, return_value=sentinel
+            ) as build,
+            patch(  # test-quality-ok: isolate proxy dispatch seam
+                "litellm.proxy._experimental.mcp_server.tool_search.handle_mcp_proxy_tool",
+                new_callable=AsyncMock,
+                return_value=result,
+            ) as handle,
+        ):
+            actual = await server._dispatch_virtual_mcp_tool(
+                name=MCP_PROXY_CALL_TOOL_NAME,
+                arguments={"tool_id": "id", "arguments": {}},
+                user_api_key_auth=AUTH,
+                client_ip=None,
+            )
+    finally:
+        _mcp_proxy_mode.reset(token)
+
+    assert actual is result
+    build.assert_awaited_once()
+    assert handle.await_args.kwargs["litellm_logging_obj"] is sentinel
+
+
+@pytest.mark.asyncio
+async def test_proxy_call_rejects_non_proxy_tool_names() -> None:
+    from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
+
+    token = _mcp_proxy_mode.set(True)
+    try:
+        result = await server._dispatch_virtual_mcp_tool(
+            name="math_stdio-add",
+            arguments={"a": 1, "b": 2},
+            user_api_key_auth=AUTH,
+            client_ip=None,
+        )
+    finally:
+        _mcp_proxy_mode.reset(token)
+
+    assert result is not None
+    assert result.isError is True
+    assert "unavailable" in result.content[0].text
+
+
+@pytest.mark.asyncio
+async def test_proxy_rejects_non_tool_protocol_operations() -> None:
+    from mcp.shared.exceptions import McpError
+    from pydantic import AnyUrl
+
+    from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
+
+    token = _mcp_proxy_mode.set(True)
+    try:
+        with pytest.raises(McpError):
+            await server.list_prompts()
+        with pytest.raises(McpError):
+            await server.get_prompt("prompt", {})
+        with pytest.raises(McpError):
+            await server.list_resources()
+        with pytest.raises(McpError):
+            await server.list_resource_templates()
+        with pytest.raises(McpError):
+            await server.read_resource(AnyUrl("https://example.com/resource"))
+    finally:
+        _mcp_proxy_mode.reset(token)
+
+
+@pytest.mark.asyncio
+async def test_proxy_list_mode_has_fixed_definitions_without_search_flag() -> None:
+    from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
+
+    token = _mcp_proxy_mode.set(True)
+    try:
+        with patch(  # test-quality-ok: isolate authenticated MCP context seam
+            "litellm.proxy._experimental.mcp_server.server.get_or_extract_auth_context",
+            new_callable=AsyncMock,
+            return_value=(AUTH, None, None, None, None, None, None),
+        ):
+            tools = await server.handle_list_tools()
+            options = server.server.create_initialization_options()
+    finally:
+        _mcp_proxy_mode.reset(token)
+
+    assert {tool.name for tool in tools} == {
+        MCP_PROXY_SEARCH_TOOL_NAME,
+        MCP_PROXY_SCHEMA_TOOL_NAME,
+        MCP_PROXY_CALL_TOOL_NAME,
+    }
+    assert options.capabilities.prompts is None
+    assert options.capabilities.resources is None
+    assert options.capabilities.tools is not None
+
+
+def _server(server_id: str, name: str, **overrides: object) -> MCPServer:
+    return MCPServer(
+        server_id=server_id,
+        name=name,
+        server_name=name,
+        url=f"http://{name}.test",
+        transport=MCPTransport.http,
+        **overrides,
+    )
+
+
+def _upstream_tool(prefix: str, name: str) -> Tool:
+    return Tool(
+        name=f"{prefix}-{name}",
+        description=f"{name} numbers",
+        inputSchema={"type": "object", "properties": {"a": {"type": "integer"}}, "required": ["a"]},
+    )
+
+
+def _auth(**object_permission: object) -> UserAPIKeyAuth:
+    return UserAPIKeyAuth(
+        api_key="sk-scope",
+        object_permission=LiteLLM_ObjectPermissionTable(object_permission_id="scope", **object_permission),
+    )
+
+
+def _ids(result: CallToolResult) -> dict[str, str]:
+    return {item["name"]: item["tool_id"] for item in _text(result)}
+
+
+class TestMcpProxyAuthorizationScope:
+    """The real catalog resolver runs (server grants, tool grants, scope header, sentinel); only the
+    upstream tools/list fetch and the final upstream dispatch are faked."""
+
+    ALPHA = _server("srv-alpha", "alpha", tool_name_to_display_name={"add": "Add Numbers"})
+    BETA = _server("srv-beta", "beta")
+    ALPHA_ADD = with_mcp_proxy_identity(_upstream_tool("alpha", "add"), "srv-alpha")
+    ALPHA_MULTIPLY = with_mcp_proxy_identity(_upstream_tool("alpha", "multiply"), "srv-alpha")
+    BETA_ADD = with_mcp_proxy_identity(_upstream_tool("beta", "add"), "srv-beta")
+
+    @pytest.fixture
+    def rig(self) -> Iterator[AsyncMock]:
+        upstream = {
+            "srv-alpha": [_upstream_tool("alpha", "add"), _upstream_tool("alpha", "multiply")],
+            "srv-beta": [_upstream_tool("beta", "add")],
+        }
+
+        async def fetch(server: MCPServer, **_: object) -> list[Tool]:
+            return list(upstream[server.server_id])
+
+        dispatched = AsyncMock(
+            return_value=CallToolResult(content=[TextContent(type="text", text="ok")], isError=False)
+        )
+        global_mcp_server_manager.registry.update({"srv-alpha": self.ALPHA, "srv-beta": self.BETA})
+        with (
+            patch.object(  # test-quality-ok: the upstream MCP server is the only faked collaborator
+                global_mcp_server_manager, "_get_tools_from_server", new=AsyncMock(side_effect=fetch)
+            ),
+            patch.object(global_mcp_server_manager, "call_tool", new=dispatched),  # test-quality-ok: dispatch seam
+        ):
+            yield dispatched
+
+    async def _proxy(
+        self, name: str, arguments: dict[str, object], auth: UserAPIKeyAuth, **kwargs: object
+    ) -> CallToolResult:
+        return await handle_mcp_proxy_tool(name, arguments, auth, **kwargs)
+
+    @pytest.mark.asyncio
+    async def test_search_and_schema_are_bounded_by_the_key_server_grant(self, rig: AsyncMock) -> None:
+        granted = _auth(mcp_servers=["srv-alpha"])
+
+        assert _ids(await self._proxy(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "numbers"}, granted)) == {
+            "alpha-add": mcp_proxy_tool_id(self.ALPHA_ADD),
+            "alpha-multiply": mcp_proxy_tool_id(self.ALPHA_MULTIPLY),
+        }
+        denied_schema = await self._proxy(
+            MCP_PROXY_SCHEMA_TOOL_NAME, {"tool_id": mcp_proxy_tool_id(self.BETA_ADD)}, granted
+        )
+        denied_call = await self._proxy(
+            MCP_PROXY_CALL_TOOL_NAME, {"tool_id": mcp_proxy_tool_id(self.BETA_ADD), "arguments": {"a": 1}}, granted
+        )
+        assert denied_schema.isError is True and denied_call.isError is True
+        rig.assert_not_awaited()
+
+    @pytest.mark.asyncio
+    async def test_no_mcp_servers_sentinel_hides_every_tool(self, rig: AsyncMock) -> None:
+        result = await self._proxy(
+            MCP_PROXY_SEARCH_TOOL_NAME, {"query": "numbers"}, _auth(mcp_servers=["no-mcp-servers"])
+        )
+        assert _text(result) == []
+        rig.assert_not_awaited()
+
+    @pytest.mark.asyncio
+    async def test_tool_grant_hides_ungranted_tools_and_blocks_their_ids(self, rig: AsyncMock) -> None:
+        scoped = _auth(mcp_servers=["srv-alpha"], mcp_tool_permissions={"srv-alpha": ["add"]})
+
+        assert set(_ids(await self._proxy(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "numbers"}, scoped))) == {"alpha-add"}
+        blocked = await self._proxy(
+            MCP_PROXY_CALL_TOOL_NAME, {"tool_id": mcp_proxy_tool_id(self.ALPHA_MULTIPLY), "arguments": {"a": 1}}, scoped
+        )
+        assert blocked.isError is True
+        rig.assert_not_awaited()
+
+    @pytest.mark.asyncio
+    async def test_same_named_tools_keep_distinct_ids_and_dispatch_to_their_own_server(self, rig: AsyncMock) -> None:
+        both = _auth(mcp_servers=["srv-alpha", "srv-beta"])
+
+        ids = _ids(await self._proxy(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "add"}, both))
+        assert set(ids) == {"alpha-add", "beta-add"}, "display-name overrides must not rename proxy identities"
+        assert ids["alpha-add"] != ids["beta-add"]
+
+        result = await self._proxy(MCP_PROXY_CALL_TOOL_NAME, {"tool_id": ids["beta-add"], "arguments": {"a": 1}}, both)
+        assert result.isError is False
+        rig.assert_awaited_once()
+        assert rig.await_args.kwargs["server_name"] == "beta"
+        assert rig.await_args.kwargs["name"] == "add"
+
+    @pytest.mark.asyncio
+    async def test_server_scope_header_narrows_search_within_the_grant(self, rig: AsyncMock) -> None:
+        both = _auth(mcp_servers=["srv-alpha", "srv-beta"])
+        scoped = await self._proxy(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "add"}, both, mcp_servers=["beta"])
+        assert set(_ids(scoped)) == {"beta-add"}
+        rig.assert_not_awaited()
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 56a57f4f7ff..5c7accd9120 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -8542,6 +8542,50 @@ export interface paths {
         patch?: never;
         trace?: never;
     };
+    "/mcp/proxy": {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        /**
+         * Proxy Mcp Route
+         * @description Serve the fixed three-tool MCP proxy surface.
+         */
+        get: operations["proxy_mcp_route_mcp_proxy_get"];
+        /**
+         * Proxy Mcp Route
+         * @description Serve the fixed three-tool MCP proxy surface.
+         */
+        put: operations["proxy_mcp_route_mcp_proxy_put"];
+        /**
+         * Proxy Mcp Route
+         * @description Serve the fixed three-tool MCP proxy surface.
+         */
+        post: operations["proxy_mcp_route_mcp_proxy_post"];
+        /**
+         * Proxy Mcp Route
+         * @description Serve the fixed three-tool MCP proxy surface.
+         */
+        delete: operations["proxy_mcp_route_mcp_proxy_delete"];
+        /**
+         * Proxy Mcp Route
+         * @description Serve the fixed three-tool MCP proxy surface.
+         */
+        options: operations["proxy_mcp_route_mcp_proxy_options"];
+        /**
+         * Proxy Mcp Route
+         * @description Serve the fixed three-tool MCP proxy surface.
+         */
+        head: operations["proxy_mcp_route_mcp_proxy_head"];
+        /**
+         * Proxy Mcp Route
+         * @description Serve the fixed three-tool MCP proxy surface.
+         */
+        patch: operations["proxy_mcp_route_mcp_proxy_patch"];
+        trace?: never;
+    };
     "/memory-usage-in-mem-cache": {
         parameters: {
             query?: never;
@@ -50983,6 +51027,146 @@ export interface operations {
             };
         };
     };
+    proxy_mcp_route_mcp_proxy_get: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": unknown;
+                };
+            };
+        };
+    };
+    proxy_mcp_route_mcp_proxy_put: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": unknown;
+                };
+            };
+        };
+    };
+    proxy_mcp_route_mcp_proxy_post: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": unknown;
+                };
+            };
+        };
+    };
+    proxy_mcp_route_mcp_proxy_delete: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": unknown;
+                };
+            };
+        };
+    };
+    proxy_mcp_route_mcp_proxy_options: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": unknown;
+                };
+            };
+        };
+    };
+    proxy_mcp_route_mcp_proxy_head: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": unknown;
+                };
+            };
+        };
+    };
+    proxy_mcp_route_mcp_proxy_patch: {
+        parameters: {
+            query?: never;
+            header?: never;
+            path?: never;
+            cookie?: never;
+        };
+        requestBody?: never;
+        responses: {
+            /** @description Successful Response */
+            200: {
+                headers: {
+                    [name: string]: unknown;
+                };
+                content: {
+                    "application/json": unknown;
+                };
+            };
+        };
+    };
     memory_usage_in_mem_cache_memory_usage_in_mem_cache_get: {
         parameters: {
             query?: never;

From 5a7919f3f5ecab734946c1a2e0ea8e81b859c046 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 17:35:43 -0700
Subject: [PATCH 168/223] test(proxy): isolate reaper state and reap Prisma
 fixture children

---
 tests/test_litellm/proxy/db/conftest.py       | 15 +++++++++++---
 .../proxy/db/test_query_engine_reaper.py      | 20 +++++++++++++------
 tests/test_litellm/proxy/test_proxy_cli.py    | 10 +++++++++-
 3 files changed, 35 insertions(+), 10 deletions(-)

diff --git a/tests/test_litellm/proxy/db/conftest.py b/tests/test_litellm/proxy/db/conftest.py
index 03d7ea81257..d3226b0ec50 100644
--- a/tests/test_litellm/proxy/db/conftest.py
+++ b/tests/test_litellm/proxy/db/conftest.py
@@ -6,7 +6,7 @@ import time
 from collections.abc import Generator
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Optional
+from typing import Final, Optional
 
 import pytest
 
@@ -122,10 +122,18 @@ class FakePrismaCli:
         return [json.loads(line) for line in self.calls_file.read_text().splitlines()]
 
     def grandchild_is_gone(self, within_seconds: float) -> bool:
-        deadline = time.monotonic() + within_seconds
+        pid: Final = int(self.grandchild_pidfile.read_text())
+        deadline: Final = time.monotonic() + within_seconds
         while time.monotonic() < deadline:
+            if os.name != "nt":
+                try:
+                    reaped_pid, _ = os.waitpid(pid, os.WNOHANG)
+                    if reaped_pid == pid:
+                        return True
+                except ChildProcessError:
+                    pass
             try:
-                os.kill(int(self.grandchild_pidfile.read_text()), 0)
+                os.kill(pid, 0)
             except ProcessLookupError:
                 return True
             time.sleep(0.05)
@@ -154,3 +162,4 @@ def fake_prisma_cli(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Generato
             os.kill(int(cli.grandchild_pidfile.read_text()), signal.SIGKILL)
         except ProcessLookupError:
             pass
+        assert cli.grandchild_is_gone(within_seconds=5)
diff --git a/tests/test_litellm/proxy/db/test_query_engine_reaper.py b/tests/test_litellm/proxy/db/test_query_engine_reaper.py
index efcecb4bc08..5018176854e 100644
--- a/tests/test_litellm/proxy/db/test_query_engine_reaper.py
+++ b/tests/test_litellm/proxy/db/test_query_engine_reaper.py
@@ -3,6 +3,7 @@ import signal
 import subprocess
 import sys
 import time
+from typing import Final
 from unittest.mock import MagicMock, patch
 
 import pytest
@@ -15,7 +16,6 @@ from litellm.proxy.db.query_engine_reaper import (
     _try_reap,
     list_orphaned_engine_pids,
     reap_orphaned_engines,
-    set_child_subreaper,
     start_query_engine_reaper,
     terminate_and_reap,
     terminate_and_reap_all,
@@ -79,11 +79,19 @@ class TestListOrphanedEnginePids:
 
 class TestSetChildSubreaper:
     def test_matches_platform_capability(self):
-        result = set_child_subreaper()
-        if sys.platform.startswith("linux"):
-            assert result is True
-        else:
-            assert result is False
+        result: Final = subprocess.run(
+            [
+                sys.executable,
+                "-c",
+                "import sys; "
+                "from litellm.proxy.db.query_engine_reaper import set_child_subreaper; "
+                "assert set_child_subreaper() is sys.platform.startswith('linux')",
+            ],
+            capture_output=True,
+            text=True,
+            timeout=30,
+        )
+        assert result.returncode == 0, result.stderr
 
 
 @pytest.mark.skipif(sys.platform == "win32", reason="POSIX signals and waitpid")
diff --git a/tests/test_litellm/proxy/test_proxy_cli.py b/tests/test_litellm/proxy/test_proxy_cli.py
index 0c20d5e0ff0..c76ff189a8a 100644
--- a/tests/test_litellm/proxy/test_proxy_cli.py
+++ b/tests/test_litellm/proxy/test_proxy_cli.py
@@ -1525,7 +1525,12 @@ class TestProxyInitializationHelpers:
         def capture_run(self):
             captured["options"] = dict(self.options)
 
-        with patch("gunicorn.app.base.BaseApplication.run", capture_run):
+        with (
+            patch("gunicorn.app.base.BaseApplication.run", capture_run),
+            patch(  # test-quality-ok: option tests must not start a thread or change the pytest worker's child ownership
+                "litellm.proxy.proxy_cli.start_query_engine_reaper"
+            ),
+        ):
             ProxyInitializationHelpers._run_gunicorn_server(
                 host="127.0.0.1",
                 port=4010,
@@ -1553,6 +1558,9 @@ class TestProxyInitializationHelpers:
         with (
             patch("gunicorn.app.base.BaseApplication.run", capture_run),
             patch("builtins.print") as mock_print,
+            patch(  # test-quality-ok: option tests must not start a thread or change the pytest worker's child ownership
+                "litellm.proxy.proxy_cli.start_query_engine_reaper"
+            ),
         ):
             ProxyInitializationHelpers._run_gunicorn_server(
                 host="127.0.0.1",

From 94a81f003e71cba637197f4951ae005c8a201e9b Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 17:40:27 -0700
Subject: [PATCH 169/223] bump: litellm-enterprise 0.1.65 -> 0.1.66

---
 enterprise/pyproject.toml | 4 ++--
 pyproject.toml            | 2 +-
 uv.lock                   | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/enterprise/pyproject.toml b/enterprise/pyproject.toml
index 3699087dbfa..903c5155a12 100644
--- a/enterprise/pyproject.toml
+++ b/enterprise/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "litellm-enterprise"
-version = "0.1.65"
+version = "0.1.66"
 description = "Package for LiteLLM Enterprise features"
 readme = "README.md"
 requires-python = ">=3.9"
@@ -26,7 +26,7 @@ required-version = ">=0.10.9"
 module-root = ""
 
 [tool.commitizen]
-version = "0.1.65"
+version = "0.1.66"
 version_files = [
     "pyproject.toml:^version",
     "../pyproject.toml:litellm-enterprise==",
diff --git a/pyproject.toml b/pyproject.toml
index dec54f50ceb..04f2f3fd1dd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -68,7 +68,7 @@ proxy = [
     "azure-storage-blob>=12.28.0,<13.0",
     "mcp>=1.28.1,<2.0",
     "litellm-proxy-extras==0.4.95",
-    "litellm-enterprise==0.1.65",
+    "litellm-enterprise==0.1.66",
     "RestrictedPython>=8.5,<9.0",
     "rich>=13.9.4,<14.0",
     "InquirerPy>=0.3.4,<1.0",
diff --git a/uv.lock b/uv.lock
index 23a44e7dd86..0fe787645a2 100644
--- a/uv.lock
+++ b/uv.lock
@@ -10,7 +10,7 @@ resolution-markers = [
 ]
 
 [options]
-exclude-newer = "2026-09-05T20:24:07.535116Z"
+exclude-newer = "2026-09-06T00:40:30.433549Z"
 exclude-newer-span = "P3D"
 
 [manifest]
@@ -4767,7 +4767,7 @@ proxy-dev = [
 
 [[package]]
 name = "litellm-enterprise"
-version = "0.1.65"
+version = "0.1.66"
 source = { editable = "enterprise" }
 
 [[package]]

From 810d48f28fcdd0e2b29a64b5a238aa9697fae8e7 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 17:40:12 -0700
Subject: [PATCH 170/223] chore(ci): extend diskcache scan exception to October
 1

---
 osv-scanner.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/osv-scanner.toml b/osv-scanner.toml
index 5b0339bdcd0..3e070fc8cf7 100644
--- a/osv-scanner.toml
+++ b/osv-scanner.toml
@@ -1,6 +1,6 @@
 [[IgnoredVulns]]
 id = "GHSA-w8v5-vhqr-4h9v"
-ignoreUntil = 2026-09-09
+ignoreUntil = 2026-10-01
 reason = "diskcache has no fixed release published; remove this entry once one exists"
 
 [[IgnoredVulns]]

From 113350756595b7954d5f830f8a5454895de12526 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 17:46:55 -0700
Subject: [PATCH 171/223] refactor: type the buffered stream rewrite helpers
 without Any

---
 .../llms/anthropic/chat/guardrail_translation/handler.py  | 8 ++++----
 .../responses/test_openai_responses_guardrail_handler.py  | 3 ++-
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
index cbbccac17f3..6f966ae1a02 100644
--- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py
+++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
@@ -13,7 +13,7 @@ Pattern Overview:
 """
 
 import json
-from collections.abc import Mapping, Sequence
+from collections.abc import Mapping, MutableSequence, Sequence
 from copy import deepcopy
 from dataclasses import dataclass
 from itertools import chain, repeat
@@ -1262,7 +1262,7 @@ class AnthropicMessagesHandler(BaseTranslation):
 
     @staticmethod
     def _write_ended_stream_text_rewrite(
-        responses_so_far: list[Any],  # mutable-ok: rewrites the caller's buffered chunks in place
+        responses_so_far: MutableSequence[object],  # mutable-ok: rewrites the caller's buffered chunks in place
         rewritten_text: str,
     ) -> None:
         """Deliver an ended-stream guardrail text rewrite by rewriting the
@@ -1284,7 +1284,7 @@ class AnthropicMessagesHandler(BaseTranslation):
     @classmethod
     def _write_ended_stream_tool_call_rewrites(
         cls,
-        responses_so_far: list[Any],  # mutable-ok: rewrites the caller's buffered chunks in place
+        responses_so_far: MutableSequence[object],  # mutable-ok: rewrites the caller's buffered chunks in place
         *,
         pre_guardrail_tool_calls: tuple[_ToolCallShape, ...],
         post_guardrail_tool_calls: tuple[_ToolCallShape, ...],
@@ -1346,7 +1346,7 @@ class AnthropicMessagesHandler(BaseTranslation):
 
     @staticmethod
     def _rewrite_ended_stream_events(
-        responses_so_far: list[Any],  # mutable-ok: rewrites the caller's buffered chunks in place
+        responses_so_far: MutableSequence[object],  # mutable-ok: rewrites the caller's buffered chunks in place
         rewrite_event: _SSEEventRewriter,
     ) -> None:
         """Replace every buffered event ``rewrite_event`` returns a rewrite for, in
diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
index fa1e969b277..6ed4ec6618f 100644
--- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py
@@ -17,6 +17,7 @@ from fastapi import HTTPException
 from openai.types.responses import ResponseFunctionToolCall
 
 from litellm.integrations.custom_guardrail import CustomGuardrail
+from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.llms import get_guardrail_translation_mapping
 from litellm.llms.openai.responses.guardrail_translation.handler import (
     OpenAIResponsesHandler,
@@ -1238,7 +1239,7 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing:
                 inputs: GenericGuardrailAPIInputs,
                 request_data: dict,
                 input_type: Literal["request", "response"],
-                logging_obj: Optional[Any] = None,
+                logging_obj: LiteLLMLoggingObj | None = None,
             ) -> GenericGuardrailAPIInputs:
                 tool_calls = [
                     {**tool_call, "function": {**tool_call["function"], "arguments": '{"fruit": "[MASKED]"}'}}

From 529b8706ee4a35ca479301242cb07f74e45d6775 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 17:51:13 -0700
Subject: [PATCH 172/223] test(spend-tracking): mock the spend-log scan through
 the transaction its caller now opens

---
 .../test_common_daily_activity.py             | 54 +++++++++++--------
 1 file changed, 33 insertions(+), 21 deletions(-)

diff --git a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
index d214ab6b5ac..6cd900cb041 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py
@@ -518,6 +518,26 @@ async def test_get_api_key_metadata_permanent_miss_never_pages_tokens_or_reads_s
     assert all("take" not in call.kwargs and "skip" not in call.kwargs for call in token_lookups)
 
 
+def _spend_log_transaction(mock_prisma: MagicMock, rows: list[dict[str, str | None]]) -> AsyncMock:
+    transaction = MagicMock()
+    transaction.execute_raw = AsyncMock(return_value=0)
+    transaction.query_raw = AsyncMock(return_value=rows)
+    mock_prisma.db.tx.return_value.__aenter__.return_value = transaction
+    return transaction.query_raw
+
+
+def _spend_log_row(digest: str, key_alias: str, user_id: str) -> dict[str, str | None]:
+    return {
+        "digest": digest,
+        "first_alias": key_alias,
+        "last_alias": key_alias,
+        "first_team": None,
+        "last_team": None,
+        "first_owner": user_id,
+        "last_owner": user_id,
+    }
+
+
 @pytest.mark.asyncio
 async def test_get_api_key_metadata_permanent_miss_with_a_window_reads_spend_logs_once_within_it():
     from litellm.proxy.utils import hash_token
@@ -529,14 +549,13 @@ async def test_get_api_key_metadata_permanent_miss_with_a_window_reads_spend_log
     mock_prisma.db.litellm_deletedverificationtoken.find_many = AsyncMock(return_value=[])
     mock_prisma.db.litellm_usertable.find_many = AsyncMock(return_value=[])
     mock_prisma.db.query_raw = AsyncMock(return_value=[])
+    spend_log_query_raw = _spend_log_transaction(mock_prisma, [])
 
     result = await get_api_key_metadata(prisma_client=mock_prisma, api_keys={double_hashed}, spend_logs_window=window)
 
     assert double_hashed not in result
-    assert mock_prisma.db.query_raw.await_count == 3
-    ((_, digests, start, end),) = [
-        call.args for call in mock_prisma.db.query_raw.call_args_list if "LiteLLM_SpendLogs" in call.args[0]
-    ]
+    assert mock_prisma.db.query_raw.await_count == 2
+    ((_, digests, start, end),) = [call.args for call in spend_log_query_raw.call_args_list]
     assert digests == [double_hashed]
     assert (start, end) == window
 
@@ -559,12 +578,10 @@ async def test_get_daily_activity_recovers_a_session_key_alias_from_spend_logs_a
         return_value=[SimpleNamespace(user_id="session-user", user_email="session@example.com")]
     )
 
-    async def query_raw(sql, *params):
-        if "LiteLLM_SpendLogs" in sql:
-            return [{"digest": session_digest, "key_alias": "cli-session-alias", "team_id": None, "user_id": "session-user"}]
-        return []
-
-    mock_prisma.db.query_raw = AsyncMock(side_effect=query_raw)
+    mock_prisma.db.query_raw = AsyncMock(return_value=[])
+    spend_log_query_raw = _spend_log_transaction(
+        mock_prisma, [_spend_log_row(session_digest, "cli-session-alias", "session-user")]
+    )
 
     result = await get_daily_activity(
         prisma_client=mock_prisma,
@@ -583,9 +600,7 @@ async def test_get_daily_activity_recovers_a_session_key_alias_from_spend_logs_a
     key_metadata = result.results[0].breakdown.api_keys[session_digest].metadata
     assert key_metadata.key_alias == "cli-session-alias"
     assert key_metadata.user_email == "session@example.com"
-    ((_, digests, start, end),) = [
-        call.args for call in mock_prisma.db.query_raw.call_args_list if "LiteLLM_SpendLogs" in call.args[0]
-    ]
+    ((_, digests, start, end),) = [call.args for call in spend_log_query_raw.call_args_list]
     assert digests == [session_digest]
     assert (start, end) == (datetime(2023, 12, 31), datetime(2024, 1, 3))
 
@@ -2191,12 +2206,10 @@ async def test_get_api_key_metadata_resolves_session_key_via_spend_log_window():
         return_value=[SimpleNamespace(user_id="user-42", user_email="user42@example.com")]
     )
 
-    async def query_raw(sql, *params):
-        if "LiteLLM_SpendLogs" in sql:
-            return [{"digest": session_digest, "key_alias": "cli-session-user-42", "team_id": None, "user_id": "user-42"}]
-        return []
-
-    mock_prisma.db.query_raw = AsyncMock(side_effect=query_raw)
+    mock_prisma.db.query_raw = AsyncMock(return_value=[])
+    spend_log_query_raw = _spend_log_transaction(
+        mock_prisma, [_spend_log_row(session_digest, "cli-session-user-42", "user-42")]
+    )
 
     result = await get_api_key_metadata(
         prisma_client=mock_prisma,
@@ -2207,8 +2220,7 @@ async def test_get_api_key_metadata_resolves_session_key_via_spend_log_window():
     assert result[session_digest]["key_alias"] == "cli-session-user-42"
     assert result[session_digest]["user_id"] == "user-42"
     assert result[session_digest]["user_email"] == "user42@example.com"
-    spend_log_calls = [call.args for call in mock_prisma.db.query_raw.call_args_list if "LiteLLM_SpendLogs" in call.args[0]]
-    ((_, digests, start, end),) = spend_log_calls
+    ((_, digests, start, end),) = [call.args for call in spend_log_query_raw.call_args_list]
     assert digests == [session_digest]
     assert (start, end) == (datetime(2026, 9, 7), datetime(2026, 9, 10))
 

From 24ee66328a7bf1a791dc0f7d81051165611877c9 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 17:55:21 -0700
Subject: [PATCH 173/223] test: bound Datadog read-back retries using reset
 headers

---
 tests/e2e/logging/datadog_reader.py      | 114 ++++++++-----
 tests/e2e/logging/test_datadog_reader.py | 203 +++++++++++++++++++++++
 2 files changed, 278 insertions(+), 39 deletions(-)

diff --git a/tests/e2e/logging/datadog_reader.py b/tests/e2e/logging/datadog_reader.py
index 7b4372ef9ba..368c20cb6aa 100644
--- a/tests/e2e/logging/datadog_reader.py
+++ b/tests/e2e/logging/datadog_reader.py
@@ -12,8 +12,12 @@ empty result. External reads go through ``e2e_http``.
 
 from __future__ import annotations
 
+import math
+import random
 import time
+from collections.abc import Callable, Mapping
 from dataclasses import dataclass, field
+from typing import Final
 
 import pytest
 from pydantic import BaseModel, ConfigDict, Field
@@ -27,12 +31,28 @@ from e2e_config import (
     DD_SITE,
     POLL_TIMEOUT,
 )
-from e2e_http import URL, Headers, RateLimitedError, Success, post
+from e2e_http import URL, Headers, StreamingResponse, send
 
-#: How many rate-limited responses in a row one search tolerates before the
-#: hard fail; each retry sleeps a full search interval, so this rides out a
-#: burst from a concurrent consumer of the org-wide search budget.
-_RATE_LIMIT_RETRIES = 5
+type SearchCall = Callable[[str, float], StreamingResponse]
+
+
+def _seconds(value: str | None) -> float | None:
+    if value is None:
+        return None
+    try:
+        seconds: Final = float(value)
+    except ValueError:
+        return None
+    return seconds if math.isfinite(seconds) and seconds >= 0 else None
+
+
+def _rate_limit_delay(headers: Mapping[str, str]) -> float:
+    delays: Final = tuple(
+        delay
+        for name in ("x-ratelimit-reset", "retry-after")
+        if (delay := _seconds(headers.get(name))) is not None
+    )
+    return max(1.0, max(delays, default=DD_SEARCH_INTERVAL))
 
 
 class _DdAuthHeaders(Headers):
@@ -90,6 +110,10 @@ class DdLogsReader:
     site: str
     api_key: str = field(repr=False)
     app_key: str = field(repr=False)
+    search: SearchCall | None = field(default=None, repr=False)
+    now: Callable[[], float] = field(default=time.monotonic, repr=False)
+    sleep: Callable[[float], None] = field(default=time.sleep, repr=False)
+    jitter: Callable[[], float] = field(default=random.random, repr=False)
 
     def events_for_marker(self, marker: str) -> list[DdLogEvent]:
         """Every ingested event whose attributes carry the marker. DataDog
@@ -108,25 +132,28 @@ class DdLogsReader:
         a single event. A 429 backs off and retries - the search budget is
         org-wide, so another consumer can empty it under us - while any other
         failure stays a hard fail."""
-        for _ in range(_RATE_LIMIT_RETRIES):
-            result = post(
-                URL(f"https://api.{self.site}/api/v2/logs/events/search"),
-                headers=_DdAuthHeaders(api_key=self.api_key, app_key=self.app_key),
-                json=_SearchRequest(filter=_SearchFilter(query=query)),
-                response_type=_SearchResponse,
-                timeout=30.0,
-            )
-            match result:
-                case Success(data=page):
-                    return [event.attributes for event in page.data]
-                case RateLimitedError(retry_after_seconds=retry_after):
-                    time.sleep(retry_after if retry_after else DD_SEARCH_INTERVAL)
-                case failure:
-                    pytest.fail(f"DataDog Logs Search API at api.{self.site} failed: {failure}")
+        return self._events_for_query(query, self.now() + POLL_TIMEOUT)
+
+    def _events_for_query(self, query: str, deadline: float) -> list[DdLogEvent]:
+        search: Final = self.search or self._search_page
+        while (remaining := deadline - self.now()) > 0:
+            if (result := search(query, min(30.0, remaining))).ok:
+                return [event.attributes for event in _SearchResponse.model_validate_json(result.body).data]
+            if result.status_code != 429:
+                pytest.fail(f"DataDog Logs Search API at api.{self.site} failed with HTTP {result.status_code}")
+            if (delay := min(_rate_limit_delay(result.headers) + self.jitter(), deadline - self.now())) > 0:
+                self.sleep(delay)
         pytest.fail(
-            f"DataDog Logs Search API at api.{self.site} still rate-limited after "
-            f"{_RATE_LIMIT_RETRIES} retries {DD_SEARCH_INTERVAL}s apart - the org-wide "
-            "logs_public_search_api budget (2 requests per 10s) is exhausted by another consumer"
+            f"DataDog Logs Search API at api.{self.site} remained rate-limited for {POLL_TIMEOUT}s; "
+            "the org-wide logs_public_search_api budget is exhausted"
+        )
+
+    def _search_page(self, query: str, timeout: float) -> StreamingResponse:
+        return send(
+            URL(f"https://api.{self.site}/api/v2/logs/events/search"),
+            headers=_DdAuthHeaders(api_key=self.api_key, app_key=self.app_key),
+            json=_SearchRequest(filter=_SearchFilter(query=query)),
+            timeout=timeout,
         )
 
     def poll_events_for_marker(self, marker: str) -> list[DdLogEvent]:
@@ -140,33 +167,42 @@ class DdLogsReader:
         hide from the exactly-one assertion - real-DataDog jitter can surface
         one call's two events tens of seconds apart. Searches pace at
         DD_SEARCH_INTERVAL, not POLL_INTERVAL, to respect the search API's
-        request budget. At the deadline the last result is returned as-is."""
-        deadline = time.monotonic() + POLL_TIMEOUT
-        while time.monotonic() < deadline:
-            events = self.events_for_query(query)
+        request budget. Discovery, quota retries, and duplicate detection share
+        one POLL_TIMEOUT deadline; an incomplete settle window fails closed."""
+        deadline: Final = self.now() + POLL_TIMEOUT
+        while (remaining := deadline - self.now()) > 0:
+            events = self._events_for_query(query, deadline)
             if events:
-                return self._settled_events_for_query(query, events)
-            time.sleep(DD_SEARCH_INTERVAL)
-        return self.events_for_query(query)
+                return self._settled_events_for_query(query, events, deadline)
+            if (remaining := deadline - self.now()) > 0:
+                self.sleep(min(DD_SEARCH_INTERVAL, remaining))
+        return []
 
-    def _settled_events_for_query(self, query: str, events: list[DdLogEvent]) -> list[DdLogEvent]:
+    def _settled_events_for_query(self, query: str, events: list[DdLogEvent], deadline: float) -> list[DdLogEvent]:
         """Re-read at every search interval until the settle window closes; a
         duplicate ends the watch early because more waiting cannot clear it.
 
         Keep the last non-empty result: a transient empty search (index lag)
         must not erase events already confirmed earlier in the settle window.
+        A successful final search must reach the full settle window before the
+        shared read-back deadline; otherwise duplicate detection is incomplete.
         """
-        settle_deadline = time.monotonic() + DD_SETTLE_SECONDS
+        settle_deadline: Final = self.now() + DD_SETTLE_SECONDS
         last_nonempty = events
-        while time.monotonic() < settle_deadline:
-            time.sleep(DD_SEARCH_INTERVAL)
-            latest = self.events_for_query(query)
-            if not latest:
-                continue
+        if len(events) > 1:
+            return events
+        while (remaining := deadline - self.now()) > 0:
+            self.sleep(min(DD_SEARCH_INTERVAL, remaining))
+            if self.now() >= deadline:
+                break
+            latest = self._events_for_query(query, deadline)
             if len(latest) > 1:
                 return latest
-            last_nonempty = latest
-        return last_nonempty
+            if latest:
+                last_nonempty = latest
+            if self.now() >= settle_deadline:
+                return last_nonempty
+        pytest.fail(f"DataDog log delivery could not complete its duplicate-detection window within {POLL_TIMEOUT}s")
 
 
 def build_dd_logs_reader() -> DdLogsReader:
diff --git a/tests/e2e/logging/test_datadog_reader.py b/tests/e2e/logging/test_datadog_reader.py
index 00624bd3c84..910a1cefd42 100644
--- a/tests/e2e/logging/test_datadog_reader.py
+++ b/tests/e2e/logging/test_datadog_reader.py
@@ -1,7 +1,14 @@
+import json
+from collections.abc import Iterator, Sequence
+from dataclasses import dataclass
 from typing import Final
 
+import pytest
+
 from datadog_reader import DdLogsReader
 from datadog_reader import _DdAuthHeaders  # pyright: ignore[reportPrivateUsage]  # verifies private auth-header serialization
+from e2e_config import DD_SEARCH_INTERVAL, POLL_TIMEOUT
+from e2e_http import StreamingResponse
 
 
 def test_failure_diagnostics_hide_credentials_without_changing_auth_headers() -> None:
@@ -18,3 +25,199 @@ def test_failure_diagnostics_hide_credentials_without_changing_auth_headers() ->
         "DD-API-KEY": api_key,
         "DD-APPLICATION-KEY": app_key,
     }
+
+
+@dataclass
+class Clock:
+    elapsed: float = 0.0
+
+    def now(self) -> float:
+        return self.elapsed
+
+    def sleep(self, seconds: float) -> None:
+        self.elapsed += seconds
+
+
+@dataclass
+class Search:
+    responses: Iterator[StreamingResponse]
+    calls: tuple[tuple[str, float], ...] = ()
+
+    def __call__(self, query: str, timeout: float) -> StreamingResponse:
+        self.calls += ((query, timeout),)
+        return next(self.responses)
+
+
+def _page(*event_ids: str) -> StreamingResponse:
+    return StreamingResponse(
+        status_code=200,
+        body=json.dumps({"data": [{"attributes": {"attributes": {"id": event_id}}} for event_id in event_ids]}),
+    )
+
+
+def _reader(responses: Sequence[StreamingResponse], clock: Clock) -> tuple[DdLogsReader, Search]:
+    search: Final = Search(iter(responses))
+    return DdLogsReader(
+        site="us5.datadoghq.com",
+        api_key="test-api-secret",
+        app_key="test-app-secret",
+        search=search,
+        now=clock.now,
+        sleep=clock.sleep,
+        jitter=lambda: 0.25,
+    ), search
+
+
+def test_429_honors_server_reset_and_preserves_duplicate_events() -> None:
+    clock: Final = Clock()
+    reader, search = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "6"}), _page("first", "duplicate")),
+        clock,
+    )
+
+    events: Final = reader.events_for_query("test-marker")
+
+    assert tuple(event.attributes["id"] for event in events) == ("first", "duplicate")
+    assert clock.elapsed == 6.25
+    assert search.calls == (("test-marker", 30.0), ("test-marker", 30.0))
+
+
+@pytest.mark.parametrize("reset", ("", "invalid", "nan", "inf", "-1"))
+def test_invalid_reset_uses_search_interval(reset: str) -> None:
+    clock: Final = Clock()
+    reader, _ = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": reset}), _page()), clock
+    )
+
+    assert reader.events_for_query("test-marker") == []
+    assert clock.elapsed == DD_SEARCH_INTERVAL + 0.25
+
+
+def test_zero_reset_cannot_create_a_busy_retry_loop() -> None:
+    clock: Final = Clock()
+    reader, _ = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "0"}), _page()), clock
+    )
+
+    assert reader.events_for_query("test-marker") == []
+    assert clock.elapsed == 1.25
+
+
+def test_retry_after_is_not_shortened_by_an_earlier_reset() -> None:
+    clock: Final = Clock()
+    reader, _ = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "2", "retry-after": "8"}), _page()),
+        clock,
+    )
+
+    assert reader.events_for_query("test-marker") == []
+    assert clock.elapsed == 8.25
+
+
+def test_rate_limit_wait_stops_at_deadline_without_issuing_another_request() -> None:
+    clock: Final = Clock()
+    reader, search = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT * 10)}),), clock
+    )
+
+    with pytest.raises(pytest.fail.Exception, match="remained rate-limited"):
+        reader.events_for_query("test-marker")
+
+    assert clock.elapsed == POLL_TIMEOUT
+    assert search.calls == (("test-marker", 30.0),)
+
+
+def test_late_retry_cannot_receive_a_fresh_request_timeout() -> None:
+    clock: Final = Clock()
+    reader, search = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT - 5)}), _page()),
+        clock,
+    )
+
+    assert reader.events_for_query("test-marker") == []
+    assert search.calls == (("test-marker", 30.0), ("test-marker", 4.75))
+
+
+@pytest.mark.parametrize("status", (-1, 401, 403, 500))
+def test_non_quota_failures_are_not_retried_or_treated_as_empty_results(status: int) -> None:
+    clock: Final = Clock()
+    reader, search = _reader((StreamingResponse(status_code=status, body=""), _page()), clock)
+
+    with pytest.raises(pytest.fail.Exception, match=f"failed with HTTP {status}"):
+        reader.events_for_query("test-marker")
+
+    assert search.calls == (("test-marker", 30.0),)
+    assert clock.elapsed == 0
+
+
+def test_polling_quota_retries_share_the_original_deadline() -> None:
+    clock: Final = Clock()
+    reader, search = _reader(
+        (_page(), StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT)})),
+        clock,
+    )
+
+    with pytest.raises(pytest.fail.Exception, match="remained rate-limited"):
+        reader.poll_events_for_query("test-marker")
+
+    assert clock.elapsed == POLL_TIMEOUT
+    assert len(search.calls) == 2
+
+
+def test_empty_polling_does_not_start_a_final_search_after_its_deadline() -> None:
+    clock: Final = Clock()
+    attempts: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL)
+    reader, search = _reader((_page(),) * attempts, clock)
+
+    assert reader.poll_events_for_query("test-marker") == []
+    assert clock.elapsed == POLL_TIMEOUT
+    assert len(search.calls) == attempts
+
+
+def test_settlement_quota_retries_keep_the_remaining_readback_budget() -> None:
+    clock: Final = Clock()
+    empty_reads: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL) - 2
+    reader, search = _reader(
+        (_page(),) * empty_reads
+        + (_page("first"), StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT)})),
+        clock,
+    )
+
+    with pytest.raises(pytest.fail.Exception, match="remained rate-limited"):
+        reader.poll_events_for_query("test-marker")
+
+    assert clock.elapsed == POLL_TIMEOUT
+    assert search.calls[-1] == ("test-marker", DD_SEARCH_INTERVAL)
+    assert len(search.calls) == empty_reads + 2
+
+
+def test_settlement_detects_a_duplicate_on_the_final_search() -> None:
+    clock: Final = Clock()
+    reader, _ = _reader((_page("first"), _page("first"), _page(), _page("first", "duplicate")), clock)
+
+    events: Final = reader.poll_events_for_query("test-marker")
+
+    assert tuple(event.attributes["id"] for event in events) == ("first", "duplicate")
+    assert clock.elapsed == 30
+
+
+def test_settlement_keeps_confirmed_events_through_empty_searches() -> None:
+    clock: Final = Clock()
+    reader, _ = _reader((_page("first"), _page(), _page(), _page()), clock)
+
+    events: Final = reader.poll_events_for_query("test-marker")
+
+    assert tuple(event.attributes["id"] for event in events) == ("first",)
+    assert clock.elapsed == 30
+
+
+def test_late_delivery_cannot_pass_without_a_complete_settle_window() -> None:
+    clock: Final = Clock()
+    empty_reads: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL) - 2
+    reader, search = _reader((_page(),) * empty_reads + (_page("first"), _page("first")), clock)
+
+    with pytest.raises(pytest.fail.Exception, match="duplicate-detection window"):
+        reader.poll_events_for_query("test-marker")
+
+    assert clock.elapsed == POLL_TIMEOUT
+    assert len(search.calls) == empty_reads + 2

From 43a1b2992adbb70e8fcef9c0ae431247d05743b3 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Wed, 9 Sep 2026 01:00:26 +0000
Subject: [PATCH 174/223] fix(otel v2): restore the Datadog auth span and the
 last-wins callback merge (#40335)

* fix(otel v2): restore the Datadog auth span and the last-wins callback merge

Move @tracer.wrap() back onto user_api_key_auth so USE_DDTRACE=true emits the
auth span again, and let a failure entry's callback_vars take part in the
destination merge so the resolver picks the same account the runtime parser does

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(otel v2): drop docstrings from the two regression tests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* ci: rerun proxy-infra after the flaky test_check_migration process-tree test

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/proxy/auth/user_api_key_auth.py       |   2 +-
 litellm/proxy/litellm_pre_call_utils.py       |   9 +-
 .../otel/test_otel_v2_destinations.py         |  29 +++-
 .../proxy/auth/test_user_api_key_auth.py      | 128 ++++++++++++++++++
 4 files changed, 162 insertions(+), 6 deletions(-)

diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index 5a2a20f8f59..6b000489d5a 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -2836,7 +2836,6 @@ async def _authorize_authenticated_request(
     return None
 
 
-@tracer.wrap()
 def _seed_request_destinations(user_api_key_dict: UserAPIKeyAuth, request: Request | None = None) -> None:
     """Anchor the OTLP destinations this key or team overrides its traces to.
 
@@ -2874,6 +2873,7 @@ def _seed_request_destinations(user_api_key_dict: UserAPIKeyAuth, request: Reque
         verbose_proxy_logger.debug("OTel V2: tenant destination resolution failed: %s", exc)
 
 
+@tracer.wrap()
 async def user_api_key_auth(
     request: Request,
     api_key: str = fastapi.Security(api_key_header),
diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index d0eb75bc29a..924f84be5f4 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -1041,7 +1041,9 @@ def resolve_tenant_otel_destinations(
     the request has an outcome, so honouring the filter would mean holding every span
     back until the call finishes. Those entries keep today's behaviour instead, where
     the tenant's credentials reach the backend through per-request tracer routing and
-    the operator's exporter is left alone.
+    the operator's exporter is left alone. Its ``callback_vars`` still take part in the
+    merge for a backend another entry made eligible, so the destination carries the
+    same credentials the runtime parser resolves for that request.
 
     A backend the request disabled dynamically, through the key's
     ``litellm_disabled_callbacks`` or the ``x-litellm-disable-callbacks`` header in
@@ -1069,12 +1071,13 @@ def resolve_tenant_otel_destinations(
         callback
         for item in entries
         if (callback := _get_validated_callback_metadata(item=item, source="otel-destination")) is not None
-        if callback.callback_type != "failure"
         if callback.callback_name.lower() not in disabled
     )
     return tuple(
         destination
-        for name in dict.fromkeys(callback.callback_name for callback in callbacks)
+        for name in dict.fromkeys(
+            callback.callback_name for callback in callbacks if callback.callback_type != "failure"
+        )
         if (
             destination := destination_for(
                 name,
diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py b/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py
index 1799381bada..67695d5aed8 100644
--- a/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py
+++ b/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py
@@ -2,7 +2,9 @@
 
 import contextvars
 import time
+from base64 import b64encode
 from collections.abc import Mapping
+from functools import reduce
 from types import MappingProxyType
 
 import pytest
@@ -49,8 +51,11 @@ from litellm.integrations.otel.presets.destinations import (
     destination_for,
 )
 from litellm.integrations.otel.presets.langfuse import langfuse_preset
-from litellm.proxy._types import UserAPIKeyAuth
-from litellm.proxy.litellm_pre_call_utils import resolve_tenant_otel_destinations
+from litellm.proxy._types import AddTeamCallback, UserAPIKeyAuth
+from litellm.proxy.litellm_pre_call_utils import (
+    convert_key_logging_metadata_to_callback,
+    resolve_tenant_otel_destinations,
+)
 from litellm.types.utils import StandardCallbackDynamicParams
 
 LANGFUSE_DEST = OtelDestination(
@@ -1822,6 +1827,26 @@ class TestTenantConfigAgreement:
 
         assert [d.endpoint for d in destinations] == ["http://key.local/api/public/otel"]
 
+    def test_a_failure_entry_still_wins_the_merge_next_to_a_success_entry(self):
+        entries = [
+            {**self._entry("http://team.local"), "callback_type": "success"},
+            {
+                **self._entry("http://key.local", langfuse_public_key="pk-failure", langfuse_secret_key="sk-failure"),
+                "callback_type": "failure",
+            },
+        ]
+        runtime = reduce(
+            lambda merged, entry: convert_key_logging_metadata_to_callback(AddTeamCallback(**entry), merged),
+            entries,
+            None,
+        )
+
+        destinations = resolve_tenant_otel_destinations(UserAPIKeyAuth(team_metadata={"logging": entries}))
+
+        assert runtime.callback_vars["langfuse_host"] == "http://key.local"
+        assert [d.endpoint for d in destinations] == ["http://key.local/api/public/otel"]
+        assert destinations[0].headers["Authorization"] == f"Basic {b64encode(b'pk-failure:sk-failure').decode()}"
+
     @pytest.fixture
     def premium(self, monkeypatch):
         from litellm.proxy import proxy_server
diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
index f1a269cc00a..fd289e33ea6 100644
--- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
+++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py
@@ -1,8 +1,13 @@
 import asyncio
 import json
 import logging
+import os
+import subprocess
+import sys
 from contextlib import contextmanager
 from datetime import datetime, timedelta
+from pathlib import Path
+from textwrap import dedent
 from types import SimpleNamespace
 from unittest.mock import ANY, AsyncMock, MagicMock, patch
 
@@ -7005,3 +7010,126 @@ class TestLitellmReceivedAtStamping:
 
         assert result == earlier
         assert request.state.litellm_received_at == earlier
+
+
+_RECORDING_DDTRACE = dedent(
+    '''
+    import functools
+    import inspect
+
+
+    class _Span:
+        def __enter__(self):
+            return self
+
+        def __exit__(self, *exc):
+            return None
+
+
+    class _Tracer:
+        def __init__(self):
+            self.spans = []
+
+        def wrap(self, name=None, **kwargs):
+            def decorator(f):
+                span_name = name or f"{f.__module__}.{f.__name__}"
+                if inspect.iscoroutinefunction(f):
+
+                    @functools.wraps(f)
+                    async def async_wrapped(*args, **kw):
+                        self.spans.append(span_name)
+                        return await f(*args, **kw)
+
+                    return async_wrapped
+
+                @functools.wraps(f)
+                def wrapped(*args, **kw):
+                    self.spans.append(span_name)
+                    return f(*args, **kw)
+
+                return wrapped
+
+            return decorator
+
+        def trace(self, name, **kwargs):
+            return _Span()
+
+        def current_span(self):
+            return None
+
+        def current_root_span(self):
+            return None
+
+
+    tracer = _Tracer()
+    '''
+)
+
+_DDTRACE_AUTH_PROBE = dedent(
+    '''
+    import asyncio
+    import json
+
+    import ddtrace
+    from fastapi import Request
+    from starlette.datastructures import URL
+
+    import litellm.proxy.proxy_server as proxy_server
+    from litellm.proxy._types import ProxyException
+    from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+
+    proxy_server.master_key = "sk-probe"
+
+
+    async def auth(api_key):
+        request = Request(scope={"type": "http", "headers": [], "method": "POST", "path": "/chat/completions"})
+        request._url = URL(url="/chat/completions")
+        try:
+            await user_api_key_auth(
+                request=request,
+                api_key=api_key,
+                azure_api_key_header="",
+                anthropic_api_key_header=None,
+                google_ai_studio_api_key_header=None,
+                azure_apim_header=None,
+                custom_litellm_key_header=None,
+            )
+            return "accepted"
+        except ProxyException:
+            return "rejected"
+
+
+    async def main():
+        outcomes = [await auth("Bearer sk-probe"), await auth("Bearer sk-wrong")]
+        print(json.dumps({"outcomes": outcomes, "spans": ddtrace.tracer.spans}))
+
+
+    asyncio.run(main())
+    '''
+)
+
+
+def test_user_api_key_auth_opens_a_datadog_span_for_accepted_and_rejected_keys(tmp_path: Path):
+    stub_root = tmp_path / "site"
+    (stub_root / "ddtrace").mkdir(parents=True)
+    (stub_root / "ddtrace" / "__init__.py").write_text(_RECORDING_DDTRACE)
+    probe = tmp_path / "probe.py"
+    probe.write_text(_DDTRACE_AUTH_PROBE)
+    repo_root = Path(litellm.__file__).resolve().parent.parent
+    env = {
+        **os.environ,
+        "USE_DDTRACE": "true",
+        "PYTHONPATH": os.pathsep.join(
+            [str(stub_root), str(repo_root)] + [p for p in (os.environ.get("PYTHONPATH"),) if p]
+        ),
+    }
+
+    result = subprocess.run(
+        [sys.executable, str(probe)], env=env, cwd=repo_root, capture_output=True, text=True, check=False
+    )
+
+    assert result.returncode == 0, result.stderr[-4000:]
+    report = json.loads(result.stdout.strip().splitlines()[-1])
+    assert report["outcomes"] == ["accepted", "rejected"]
+    auth_span = "litellm.proxy.auth.user_api_key_auth.user_api_key_auth"
+    assert [span for span in report["spans"] if span == auth_span] == [auth_span, auth_span]

From 634852a18309a97f8cb24f18fabd48bb0b80c6a1 Mon Sep 17 00:00:00 2001
From: ryan-crabbe-berri <ryan@berri.ai>
Date: Tue, 8 Sep 2026 18:00:01 -0700
Subject: [PATCH 175/223] fix(anthropic): key the /v1/messages prompt cache on
 Claude Code's session_id only

The bridges derived prompt_cache_key as the first 64 chars of metadata.user_id.
Claude Code packs a JSON object into that field whose prefix is the per-install
device_id, so every session and subagent on one machine shared a single key,
and a plain end-user id pinned all of that user's conversations to one slot.

Parse the JSON and use session_id; send no key otherwise so the provider falls
back to its own prompt-prefix hashing. An explicit prompt_cache_key still wins.

Fixes #39145
---
 .../experimental_pass_through/utils.py        | 23 +++++-
 ...al_pass_through_adapters_transformation.py | 72 ++++++++++++++-----
 .../adapters/test_handler_prompt_cache_key.py | 12 ++--
 .../test_responses_adapters_handler.py        | 21 ++++--
 .../test_responses_adapters_transformation.py | 33 ++++++---
 5 files changed, 123 insertions(+), 38 deletions(-)

diff --git a/litellm/llms/anthropic/experimental_pass_through/utils.py b/litellm/llms/anthropic/experimental_pass_through/utils.py
index 55fe9c47faf..335a0e5641d 100644
--- a/litellm/llms/anthropic/experimental_pass_through/utils.py
+++ b/litellm/llms/anthropic/experimental_pass_through/utils.py
@@ -3,6 +3,8 @@ from collections.abc import Mapping
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Final
 
+from pydantic import BaseModel, ConfigDict, ValidationError
+
 import litellm
 from litellm.types.utils import ModelInfo
 
@@ -21,10 +23,27 @@ _EFFORT_DEGRADATION_CHAIN: Final[Mapping[str, tuple[str, ...]]] = MappingProxyTy
 _THINKING_OFF: Final = "none"
 
 
+class _ClaudeCodeUserId(BaseModel):
+    """The JSON Claude Code packs into ``metadata.user_id``; only ``session_id`` is per conversation."""
+
+    model_config = ConfigDict(frozen=True)
+
+    session_id: str
+
+
 def prompt_cache_key_from_user_id(user_id: object) -> str | None:
-    if user_id is None:
+    """The per-session key Claude Code carries inside ``metadata.user_id``, or nothing.
+
+    Anthropic defines ``user_id`` as an opaque end-user id, so a plain string names a person, not
+    a conversation. Keying the provider cache on it pins every parallel session and subagent of that
+    person to one slot, which caches worse than the provider's own prompt-prefix hashing does.
+    """
+    if not isinstance(user_id, str):
+        return None
+    try:
+        return _ClaudeCodeUserId.model_validate_json(user_id).session_id[:OPENAI_MAX_PROMPT_CACHE_KEY_LENGTH] or None
+    except ValidationError:
         return None
-    return str(user_id)[:OPENAI_MAX_PROMPT_CACHE_KEY_LENGTH] or None
 
 
 def litellm_logging_obj_from_kwargs(kwargs: Mapping[str, object]) -> "LiteLLMLoggingObject | None":
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
index 30465ca25ba..c59ec70b015 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
@@ -1,4 +1,5 @@
 import base64
+import json
 from typing import Any, Final, cast
 
 import pytest
@@ -724,9 +725,14 @@ def test_translate_anthropic_to_openai_orders_top_level_and_midturn_system():
     ]
 
 
-def _translate_with_metadata(
-    model: str, metadata: dict[str, str], custom_llm_provider: str | None
-) -> dict[str, Any]:
+def _claude_code_user_id(session_id: str) -> str:
+    return json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": session_id})
+
+
+CLAUDE_CODE_USER_ID: Final = _claude_code_user_id("session-abc")
+
+
+def _translate_with_metadata(model: str, metadata: dict[str, str], custom_llm_provider: str | None) -> dict[str, Any]:
     openai_request, _ = LiteLLMAnthropicMessagesAdapter().translate_anthropic_to_openai(
         anthropic_message_request={
             "model": model,
@@ -739,23 +745,51 @@ def _translate_with_metadata(
     return cast(dict[str, Any], openai_request)
 
 
-def test_translate_anthropic_to_openai_maps_user_id_to_prompt_cache_key_for_openai():
-    openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": "session-abc"}, "openai")
-    assert openai_request["user"] == "session-abc"
+def test_translate_anthropic_to_openai_maps_claude_code_session_id_to_prompt_cache_key_for_openai():
+    openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": CLAUDE_CODE_USER_ID}, "openai")
+    assert openai_request["user"] == CLAUDE_CODE_USER_ID
     assert openai_request["prompt_cache_key"] == "session-abc"
 
 
-def test_translate_anthropic_to_openai_truncates_prompt_cache_key_but_keeps_full_user():
-    long_id = "".join(str(i % 10) for i in range(100))
-    openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": long_id}, "openai")
-    assert openai_request["user"] == long_id
-    assert openai_request["prompt_cache_key"] == long_id[:64]
-    assert len(openai_request["prompt_cache_key"]) == 64
+def test_translate_anthropic_to_openai_gives_each_claude_code_session_its_own_prompt_cache_key():
+    """BerriAI/litellm#39145: the first 64 chars of Claude Code's user_id are the per-install device_id."""
+    keys = tuple(
+        _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": _claude_code_user_id(session_id)}, "openai")[
+            "prompt_cache_key"
+        ]
+        for session_id in ("11111111-1111-1111-1111-111111111111", "22222222-2222-2222-2222-222222222222")
+    )
+    assert keys == ("11111111-1111-1111-1111-111111111111", "22222222-2222-2222-2222-222222222222")
+
+
+def test_translate_anthropic_to_openai_truncates_long_session_id_to_openai_limit():
+    long_session_id = "".join(str(i % 10) for i in range(100))
+    openai_request = _translate_with_metadata(
+        "openai/gpt-5.6-luna", {"user_id": _claude_code_user_id(long_session_id)}, "openai"
+    )
+    assert openai_request["prompt_cache_key"] == long_session_id[:64]
+
+
+@pytest.mark.parametrize(
+    "user_id",
+    [
+        "alice",
+        "".join(str(i % 10) for i in range(100)),
+        json.dumps({"device_id": "d" * 64, "account_uuid": ""}),
+        json.dumps({"session_id": ""}),
+        json.dumps({"session_id": 123}),
+        "{not json",
+    ],
+)
+def test_translate_anthropic_to_openai_keeps_plain_user_id_off_prompt_cache_key(user_id: str):
+    openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": user_id}, "openai")
+    assert openai_request["user"] == user_id
+    assert "prompt_cache_key" not in openai_request
 
 
 @pytest.mark.parametrize("model", ["azure/my-gpt-5-deployment", "my-gpt-5-deployment"])
 def test_translate_anthropic_to_openai_sets_prompt_cache_key_for_azure(model: str):
-    openai_request = _translate_with_metadata(model, {"user_id": "session-abc"}, "azure")
+    openai_request = _translate_with_metadata(model, {"user_id": CLAUDE_CODE_USER_ID}, "azure")
     assert openai_request["prompt_cache_key"] == "session-abc"
 
 
@@ -772,8 +806,8 @@ def test_translate_anthropic_to_openai_sets_prompt_cache_key_for_azure(model: st
 def test_translate_anthropic_to_openai_skips_prompt_cache_key_when_provider_lacks_it(
     model: str, custom_llm_provider: str
 ):
-    openai_request = _translate_with_metadata(model, {"user_id": "session-abc"}, custom_llm_provider)
-    assert openai_request["user"] == "session-abc"
+    openai_request = _translate_with_metadata(model, {"user_id": CLAUDE_CODE_USER_ID}, custom_llm_provider)
+    assert openai_request["user"] == CLAUDE_CODE_USER_ID
     assert "prompt_cache_key" not in openai_request
 
 
@@ -781,14 +815,14 @@ def test_translate_anthropic_to_openai_skips_prompt_cache_key_for_chained_litell
     assert "prompt_cache_key" in litellm.get_supported_openai_params(
         model="xai", custom_llm_provider="litellm_proxy"
     )
-    openai_request = _translate_with_metadata("litellm_proxy/xai", {"user_id": "session-abc"}, "litellm_proxy")
-    assert openai_request["user"] == "session-abc"
+    openai_request = _translate_with_metadata("litellm_proxy/xai", {"user_id": CLAUDE_CODE_USER_ID}, "litellm_proxy")
+    assert openai_request["user"] == CLAUDE_CODE_USER_ID
     assert "prompt_cache_key" not in openai_request
 
 
 def test_translate_anthropic_to_openai_skips_prompt_cache_key_without_provider():
-    openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": "session-abc"}, None)
-    assert openai_request["user"] == "session-abc"
+    openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": CLAUDE_CODE_USER_ID}, None)
+    assert openai_request["user"] == CLAUDE_CODE_USER_ID
     assert "prompt_cache_key" not in openai_request
 
 
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_handler_prompt_cache_key.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_handler_prompt_cache_key.py
index f48d51dbe1e..7dc7507120f 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_handler_prompt_cache_key.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_handler_prompt_cache_key.py
@@ -1,3 +1,4 @@
+import json
 import os
 import sys
 
@@ -10,6 +11,7 @@ from litellm.llms.anthropic.experimental_pass_through.adapters.handler import (
 )
 
 MESSAGES = [{"role": "user", "content": "hello"}]
+CLAUDE_CODE_USER_ID = json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": "session-abc"})
 
 
 def _prepare(model: str, extra_kwargs: dict[str, object], thinking: dict[str, object] | None = None):
@@ -17,7 +19,7 @@ def _prepare(model: str, extra_kwargs: dict[str, object], thinking: dict[str, ob
         max_tokens=1024,
         messages=MESSAGES,
         model=model,
-        metadata={"user_id": "session-abc"},
+        metadata={"user_id": CLAUDE_CODE_USER_ID},
         thinking=thinking,
         extra_kwargs=extra_kwargs,
     )
@@ -26,7 +28,7 @@ def _prepare(model: str, extra_kwargs: dict[str, object], thinking: dict[str, ob
 
 def test_prepare_completion_kwargs_derives_prompt_cache_key_for_openai_provider():
     completion_kwargs = _prepare("openai/gpt-5.6-luna", {"custom_llm_provider": "openai"})
-    assert completion_kwargs["user"] == "session-abc"
+    assert completion_kwargs["user"] == CLAUDE_CODE_USER_ID
     assert completion_kwargs["prompt_cache_key"] == "session-abc"
 
 
@@ -35,7 +37,7 @@ def test_prepare_completion_kwargs_prefers_explicit_prompt_cache_key_over_derive
         "openai/gpt-5.6-luna",
         {"custom_llm_provider": "openai", "prompt_cache_key": "explicit-key"},
     )
-    assert completion_kwargs["user"] == "session-abc"
+    assert completion_kwargs["user"] == CLAUDE_CODE_USER_ID
     assert completion_kwargs["prompt_cache_key"] == "explicit-key"
 
 
@@ -50,13 +52,13 @@ def test_prepare_completion_kwargs_skips_prompt_cache_key_without_provider_suppo
     model: str, extra_kwargs: dict[str, object]
 ):
     completion_kwargs = _prepare(model, extra_kwargs)
-    assert completion_kwargs["user"] == "session-abc"
+    assert completion_kwargs["user"] == CLAUDE_CODE_USER_ID
     assert "prompt_cache_key" not in completion_kwargs
 
 
 def test_prepare_completion_kwargs_skips_prompt_cache_key_for_chained_litellm_proxy():
     completion_kwargs = _prepare("litellm_proxy/xai", {"custom_llm_provider": "litellm_proxy"})
-    assert completion_kwargs["user"] == "session-abc"
+    assert completion_kwargs["user"] == CLAUDE_CODE_USER_ID
     assert "prompt_cache_key" not in completion_kwargs
 
 
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_handler.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_handler.py
index 3383813245a..16e8cf0e90e 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_handler.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_handler.py
@@ -16,6 +16,7 @@ from litellm.llms.anthropic.experimental_pass_through.responses_adapters.handler
 )
 
 MESSAGES = [{"role": "user", "content": "hello"}]
+CLAUDE_CODE_USER_ID = json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": "session-abc"})
 
 RESPONSES_SSE_BODY = (
     b"event: response.created\n"
@@ -30,7 +31,19 @@ RESPONSES_SSE_BODY = (
 )
 
 
-def test_build_responses_kwargs_derives_prompt_cache_key_from_user_id():
+def test_build_responses_kwargs_derives_prompt_cache_key_from_claude_code_session_id():
+    responses_kwargs = _build_responses_kwargs(
+        max_tokens=1024,
+        messages=MESSAGES,
+        model="openai/gpt-5.6-luna",
+        metadata={"user_id": CLAUDE_CODE_USER_ID},
+        extra_kwargs={"custom_llm_provider": "openai"},
+    )
+    assert responses_kwargs["user"] == CLAUDE_CODE_USER_ID[:64]
+    assert responses_kwargs["prompt_cache_key"] == "session-abc"
+
+
+def test_build_responses_kwargs_sets_no_prompt_cache_key_for_plain_user_id():
     responses_kwargs = _build_responses_kwargs(
         max_tokens=1024,
         messages=MESSAGES,
@@ -39,7 +52,7 @@ def test_build_responses_kwargs_derives_prompt_cache_key_from_user_id():
         extra_kwargs={"custom_llm_provider": "openai"},
     )
     assert responses_kwargs["user"] == "session-abc"
-    assert responses_kwargs["prompt_cache_key"] == "session-abc"
+    assert "prompt_cache_key" not in responses_kwargs
 
 
 def test_build_responses_kwargs_prefers_explicit_prompt_cache_key_over_derived():
@@ -47,10 +60,10 @@ def test_build_responses_kwargs_prefers_explicit_prompt_cache_key_over_derived()
         max_tokens=1024,
         messages=MESSAGES,
         model="openai/gpt-5.6-luna",
-        metadata={"user_id": "session-abc"},
+        metadata={"user_id": CLAUDE_CODE_USER_ID},
         extra_kwargs={"custom_llm_provider": "openai", "prompt_cache_key": "explicit-key"},
     )
-    assert responses_kwargs["user"] == "session-abc"
+    assert responses_kwargs["user"] == CLAUDE_CODE_USER_ID[:64]
     assert responses_kwargs["prompt_cache_key"] == "explicit-key"
 
 
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py
index 9f8414afa38..edcc7adddb7 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py
@@ -1113,17 +1113,34 @@ class TestTranslateRequestBroaderCoverage:
         kwargs = _ADAPTER.translate_request(req)
         assert len(kwargs["user"]) == 64
 
-    def test_metadata_user_id_mapped_to_prompt_cache_key(self):
-        req = _make_request(metadata={"user_id": "user-42"})
+    def test_metadata_claude_code_session_id_mapped_to_prompt_cache_key(self):
+        user_id = json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": "session-42"})
+        req = _make_request(metadata={"user_id": user_id})
         kwargs = _ADAPTER.translate_request(req)
-        assert kwargs["prompt_cache_key"] == "user-42"
+        assert kwargs["user"] == user_id[:64]
+        assert kwargs["prompt_cache_key"] == "session-42"
 
-    def test_metadata_user_id_prompt_cache_key_truncated_to_first_64_chars(self):
-        long_id = "".join(str(i % 10) for i in range(100))
-        req = _make_request(metadata={"user_id": long_id})
+    def test_metadata_claude_code_sessions_get_distinct_prompt_cache_keys(self):
+        """BerriAI/litellm#39145: the first 64 chars of Claude Code's user_id are the per-install device_id."""
+        keys = tuple(
+            _ADAPTER.translate_request(
+                _make_request(
+                    metadata={"user_id": json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": sid})}
+                )
+            )["prompt_cache_key"]
+            for sid in ("11111111-1111-1111-1111-111111111111", "22222222-2222-2222-2222-222222222222")
+        )
+        assert keys == ("11111111-1111-1111-1111-111111111111", "22222222-2222-2222-2222-222222222222")
+
+    @pytest.mark.parametrize(
+        "user_id",
+        ["user-42", "".join(str(i % 10) for i in range(100)), json.dumps({"device_id": "d" * 64}), "{not json"],
+    )
+    def test_metadata_plain_user_id_sets_no_prompt_cache_key(self, user_id: str):
+        req = _make_request(metadata={"user_id": user_id})
         kwargs = _ADAPTER.translate_request(req)
-        assert kwargs["prompt_cache_key"] == long_id[:64]
-        assert len(kwargs["prompt_cache_key"]) == 64
+        assert kwargs["user"] == user_id[:64]
+        assert "prompt_cache_key" not in kwargs
 
     def test_metadata_empty_user_id_sets_no_prompt_cache_key(self):
         req = _make_request(metadata={"user_id": ""})

From 314e573529897752c882be9aac4985931bcc26bc Mon Sep 17 00:00:00 2001
From: tin-berri <tin@berri.ai>
Date: Tue, 8 Sep 2026 18:28:46 -0700
Subject: [PATCH 176/223] feat(auto-router): refresh family reasoning presets
 (#40341)

---
 .../public_endpoints/autorouter_presets.json  | 43 +++++++++++++++----
 .../src/lib/autorouter_presets.test.ts        | 17 ++++----
 2 files changed, 42 insertions(+), 18 deletions(-)

diff --git a/litellm/proxy/public_endpoints/autorouter_presets.json b/litellm/proxy/public_endpoints/autorouter_presets.json
index 7d09db31127..7a251afc076 100644
--- a/litellm/proxy/public_endpoints/autorouter_presets.json
+++ b/litellm/proxy/public_endpoints/autorouter_presets.json
@@ -10,7 +10,12 @@
         "REASONING": ["claude-opus-5"]
       },
       "tier_model_configs": {
-        "REASONING": [{ "model_name": "claude-opus-5", "litellm_params": { "reasoning_effort": "high" } }]
+        "REASONING": [
+          {
+            "model_name": "claude-opus-5",
+            "litellm_params": { "reasoning_effort": "high" }
+          }
+        ]
       },
       "classifier_type": "heuristic_v2",
       "escalation_keywords": ["LITELLM ESCALATE"],
@@ -23,16 +28,21 @@
   },
   "anthropic_family": {
     "label": "Anthropic Family",
-    "description": "Routes across the Claude model family: Haiku for simple queries, Sonnet for medium, Opus for complex, Opus at high thinking for reasoning.",
+    "description": "Routes across the Claude model family: Haiku for simple queries, Sonnet for medium, Opus for complex, Fable 5.1 at high thinking for reasoning.",
     "complexity_router_config": {
       "tiers": {
         "SIMPLE": ["claude-haiku-4-5"],
         "MEDIUM": ["claude-sonnet-5"],
         "COMPLEX": ["claude-opus-5"],
-        "REASONING": ["claude-opus-5"]
+        "REASONING": ["claude-fable-5-1"]
       },
       "tier_model_configs": {
-        "REASONING": [{ "model_name": "claude-opus-5", "litellm_params": { "reasoning_effort": "high" } }]
+        "REASONING": [
+          {
+            "model_name": "claude-fable-5-1",
+            "litellm_params": { "reasoning_effort": "high" }
+          }
+        ]
       },
       "classifier_type": "heuristic",
       "escalation_keywords": ["LITELLM ESCALATE"],
@@ -73,8 +83,18 @@
         "REASONING": ["claude-opus-5"]
       },
       "tier_model_configs": {
-        "MEDIUM": [{ "model_name": "muse-spark-1.2", "litellm_params": { "reasoning_effort": "xhigh" } }],
-        "COMPLEX": [{ "model_name": "kimi-k3", "litellm_params": { "reasoning_effort": "max" } }]
+        "MEDIUM": [
+          {
+            "model_name": "muse-spark-1.2",
+            "litellm_params": { "reasoning_effort": "xhigh" }
+          }
+        ],
+        "COMPLEX": [
+          {
+            "model_name": "kimi-k3",
+            "litellm_params": { "reasoning_effort": "max" }
+          }
+        ]
       },
       "classifier_type": "llm",
       "classifier_llm_config": {
@@ -93,16 +113,21 @@
   },
   "openai_family": {
     "label": "OpenAI Family",
-    "description": "Routes across the GPT model family: Luna for simple queries, Terra for medium, Sol for complex, Sol at xhigh thinking for reasoning.",
+    "description": "Routes across the GPT model family: Luna for simple queries, Terra for medium, Sol for complex, Astra at xhigh thinking for reasoning.",
     "complexity_router_config": {
       "tiers": {
         "SIMPLE": ["gpt-5.6-luna"],
         "MEDIUM": ["gpt-5.6-terra"],
         "COMPLEX": ["gpt-5.6-sol"],
-        "REASONING": ["gpt-5.6-sol"]
+        "REASONING": ["gpt-6-astra"]
       },
       "tier_model_configs": {
-        "REASONING": [{ "model_name": "gpt-5.6-sol", "litellm_params": { "reasoning_effort": "xhigh" } }]
+        "REASONING": [
+          {
+            "model_name": "gpt-6-astra",
+            "litellm_params": { "reasoning_effort": "xhigh" }
+          }
+        ]
       },
       "classifier_type": "heuristic",
       "escalation_keywords": ["LITELLM ESCALATE"],
diff --git a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
index 5d1c7f73c71..8a5f83adbdf 100644
--- a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
+++ b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts
@@ -149,13 +149,12 @@ describe("autorouter_presets", () => {
     );
   });
 
-  // Opus serves both tiers, so the effort is all that separates them and losing it fails silently.
-  it("pins the anthropic preset's reasoning tier to Opus at high thinking", () => {
+  it("pins the anthropic preset's reasoning tier to Fable 5.1 at high thinking", () => {
     const config = getPresetByKey("anthropic_family")!.complexity_router_config;
     expect(config.tiers.COMPLEX).toEqual(["claude-opus-5"]);
-    expect(config.tiers.REASONING).toEqual(["claude-opus-5"]);
+    expect(config.tiers.REASONING).toEqual(["claude-fable-5-1"]);
     expect(config.tier_model_configs).toEqual({
-      REASONING: [{ model_name: "claude-opus-5", litellm_params: { reasoning_effort: "high" } }],
+      REASONING: [{ model_name: "claude-fable-5-1", litellm_params: { reasoning_effort: "high" } }],
     });
   });
 
@@ -214,7 +213,7 @@ describe("autorouter_presets", () => {
     const preset = getPresetByKey("anthropic_family")!;
     const prefill = buildPresetPrefill(preset.complexity_router_config, groupsOnly(getRequiredModelsInPreset(preset)));
     expect(prefill.complexityRouterConfig.tier_model_params).toEqual({
-      REASONING: { "claude-opus-5": { reasoning_effort: "high" } },
+      REASONING: { "claude-fable-5-1": { reasoning_effort: "high" } },
     });
   });
 
@@ -227,21 +226,21 @@ describe("autorouter_presets", () => {
     });
   });
 
-  it("pins the OpenAI preset to the Luna, Terra, and Sol progression", () => {
+  it("pins the OpenAI preset to the Luna, Terra, Sol, and Astra progression", () => {
     const preset = getPresetByKey("openai_family")!;
     const expectedTiers = {
       SIMPLE: ["gpt-5.6-luna"],
       MEDIUM: ["gpt-5.6-terra"],
       COMPLEX: ["gpt-5.6-sol"],
-      REASONING: ["gpt-5.6-sol"],
+      REASONING: ["gpt-6-astra"],
     };
     expect(preset.complexity_router_config.tiers).toEqual(expectedTiers);
     expect(preset.complexity_router_config.tier_model_configs).toEqual({
-      REASONING: [{ model_name: "gpt-5.6-sol", litellm_params: { reasoning_effort: "xhigh" } }],
+      REASONING: [{ model_name: "gpt-6-astra", litellm_params: { reasoning_effort: "xhigh" } }],
     });
     const prefill = buildPresetPrefill(preset.complexity_router_config, groupsOnly(getRequiredModelsInPreset(preset)));
     expect(prefill.complexityRouterConfig.tier_model_params).toEqual({
-      REASONING: { "gpt-5.6-sol": { reasoning_effort: "xhigh" } },
+      REASONING: { "gpt-6-astra": { reasoning_effort: "xhigh" } },
     });
   });
 

From fb21852f7bc5ba2a1d79a89b5d46a1ec6fc1e56d Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 18:35:25 -0700
Subject: [PATCH 177/223] test(mcp): resolve current manager in proxy fixtures

---
 .../proxy/_experimental/mcp_server/conftest.py            | 8 ++++----
 .../proxy/_experimental/mcp_server/test_mcp_proxy_mode.py | 3 ++-
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/conftest.py b/tests/test_litellm/proxy/_experimental/mcp_server/conftest.py
index 2ccba2b2055..9a66f130d24 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/conftest.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/conftest.py
@@ -2,15 +2,15 @@ import os
 
 import pytest
 
-from litellm.proxy._experimental.mcp_server.mcp_server_manager import (
-    global_mcp_server_manager,
-)
-
 
 @pytest.fixture(autouse=True)
 def _hermetic_mcp_server_registry():
     """Restore the singleton ``global_mcp_server_manager``'s registry state around every
     test, so entries seeded by one test never leak into another on a shared shard."""
+    from litellm.proxy._experimental.mcp_server.mcp_server_manager import (
+        global_mcp_server_manager,
+    )
+
     saved_registry = dict(global_mcp_server_manager.registry)
     saved_config_servers = dict(global_mcp_server_manager.config_mcp_servers)
     saved_tool_mapping = dict(global_mcp_server_manager.tool_name_to_mcp_server_name_mapping)
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
index e86fc27fed7..413785529d5 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
@@ -7,7 +7,6 @@ from mcp.types import CallToolResult, TextContent, Tool
 
 from litellm.proxy._experimental.mcp_server import server
 from litellm.proxy._experimental.mcp_server.faults.list_outcomes import AggregateToolListing
-from litellm.proxy._experimental.mcp_server.mcp_server_manager import global_mcp_server_manager
 from litellm.proxy._experimental.mcp_server.tool_search import (
     MCP_PROXY_CALL_TOOL_NAME,
     MCP_PROXY_SCHEMA_TOOL_NAME,
@@ -271,6 +270,8 @@ class TestMcpProxyAuthorizationScope:
 
     @pytest.fixture
     def rig(self) -> Iterator[AsyncMock]:
+        from litellm.proxy._experimental.mcp_server.mcp_server_manager import global_mcp_server_manager
+
         upstream = {
             "srv-alpha": [_upstream_tool("alpha", "add"), _upstream_tool("alpha", "multiply")],
             "srv-beta": [_upstream_tool("beta", "add")],

From 1a9c6ce390aeaf6835351cbd2169eca5c972e4d3 Mon Sep 17 00:00:00 2001
From: tin-berri <tin@berri.ai>
Date: Tue, 8 Sep 2026 19:01:01 -0700
Subject: [PATCH 178/223] fix(mcp): preserve proxy logging and authorization
 coverage (#40337)

* test(mcp): exercise /mcp/proxy authorization against the real registry instead of patched manager methods

* fix(mcp): preserve proxy logging and authorization coverage

* test(mcp): respect the proxy FastAPI import boundary
---
 .../proxy/_experimental/mcp_server/server.py  |  25 +-
 tests/mcp_tests/mcp_server.py                 |  15 +-
 .../test_configs/test_config_mcp_e2e.yaml     |   3 +
 tests/mcp_tests/test_proxy_mcp_e2e.py         | 388 +++++++++++++++---
 .../mcp_server/test_mcp_proxy_mode.py         | 353 ++--------------
 5 files changed, 384 insertions(+), 400 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 44c00df996c..30793ef246d 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -767,12 +767,12 @@ if MCP_AVAILABLE:
                     _stateful_auth_context_cleanup_task.cancel()
                     with contextlib.suppress(asyncio.CancelledError):
                         await _stateful_auth_context_cleanup_task
-                if _session_manager_cm:
-                    await _session_manager_cm.__aexit__(None, None, None)
-                if _session_manager_stateful_cm:
-                    await _session_manager_stateful_cm.__aexit__(None, None, None)
                 if _sse_session_manager_cm:
                     await _sse_session_manager_cm.__aexit__(None, None, None)
+                if _session_manager_stateful_cm:
+                    await _session_manager_stateful_cm.__aexit__(None, None, None)
+                if _session_manager_cm:
+                    await _session_manager_cm.__aexit__(None, None, None)
             except Exception as e:
                 verbose_logger.exception("Error during session manager shutdown: %s", e)
 
@@ -1005,6 +1005,7 @@ if MCP_AVAILABLE:
 
         if _mcp_proxy_mode.get() and name in MCP_PROXY_TOOL_NAMES:
             assert user_api_key_auth is not None
+            proxy_call_start: Final = datetime.now()  # noqa: DTZ005  # logging pipeline uses naive datetimes
             proxy_logging_obj: Final = (
                 await _build_virtual_call_logging_obj(
                     name=name,
@@ -1016,7 +1017,7 @@ if MCP_AVAILABLE:
                 if name == MCP_PROXY_CALL_TOOL_NAME
                 else None
             )
-            return await handle_mcp_proxy_tool(
+            proxy_result: Final = await handle_mcp_proxy_tool(
                 name=name,
                 arguments=arguments or {},  # mutable-ok: proxy handler payload
                 user_api_key_dict=user_api_key_auth,
@@ -1028,6 +1029,16 @@ if MCP_AVAILABLE:
                 raw_headers=raw_headers,
                 litellm_logging_obj=proxy_logging_obj,
             )
+            if proxy_logging_obj is not None:
+                return await _fire_mcp_tool_call_logging(
+                    logging_obj=proxy_logging_obj,
+                    result=proxy_result,
+                    start_time=proxy_call_start,
+                    end_time=datetime.now(),  # noqa: DTZ005  # matches the logging pipeline start time
+                    user_api_key_auth=user_api_key_auth,
+                    request_data=types.MappingProxyType({"name": name, "arguments": arguments}),
+                )
+            return proxy_result
 
         if name not in VIRTUAL_TOOL_NAMES:
             return None
@@ -3493,7 +3504,9 @@ if MCP_AVAILABLE:
         server_name: str | None,
         session_id: str | None = None,
     ) -> StandardLoggingMCPToolCall:
-        mcp_server: Final = global_mcp_server_manager._get_mcp_server_from_tool_name(name)
+        mcp_server: Final = global_mcp_server_manager._get_mcp_server_from_tool_name(
+            add_server_prefix_to_name(name, server_name) if server_name else name
+        )
         namespaced_tool_name: Final = f"{server_name}/{name}" if server_name else name
         if mcp_server:
             mcp_info: Final = mcp_server.mcp_info or {}
diff --git a/tests/mcp_tests/mcp_server.py b/tests/mcp_tests/mcp_server.py
index bc6accbb721..eba7cae1bca 100644
--- a/tests/mcp_tests/mcp_server.py
+++ b/tests/mcp_tests/mcp_server.py
@@ -1,10 +1,12 @@
 # math_server.py
 import argparse
 import os
+from typing import Final
 
-from mcp.server.fastmcp import FastMCP
+from mcp.server.fastmcp import Context, FastMCP
 
 mcp = FastMCP("Math")
+ADD_OFFSET: Final = int(os.getenv("MCP_ADD_OFFSET", "0"))
 
 
 def _parse_args() -> argparse.Namespace:
@@ -31,7 +33,7 @@ def _parse_args() -> argparse.Namespace:
 @mcp.tool()
 def add(a: int, b: int) -> int:
     """Add two numbers"""
-    return a + b
+    return a + b + ADD_OFFSET
 
 
 @mcp.tool()
@@ -40,6 +42,15 @@ def multiply(a: int, b: int) -> int:
     return a * b
 
 
+@mcp.tool()
+def request_headers(ctx: Context) -> dict[str, str]:
+    request: Final = ctx.request_context.request
+    return {
+        "authorization": request.headers.get("authorization", "") if request is not None else "",
+        "x-request-tag": request.headers.get("x-request-tag", "") if request is not None else "",
+    }
+
+
 def main() -> None:
     args = _parse_args()
     transport = (args.transport or "stdio").lower()
diff --git a/tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml b/tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml
index ad68a03781d..19fad3d1393 100644
--- a/tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml
+++ b/tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml
@@ -23,3 +23,6 @@ mcp_servers:
     transport: http
     url: http://127.0.0.1:0/mcp
     allow_all_keys: true
+  math_restricted:
+    transport: http
+    url: http://127.0.0.1:0/mcp
diff --git a/tests/mcp_tests/test_proxy_mcp_e2e.py b/tests/mcp_tests/test_proxy_mcp_e2e.py
index a97eed82e18..5e5b9db2dc6 100644
--- a/tests/mcp_tests/test_proxy_mcp_e2e.py
+++ b/tests/mcp_tests/test_proxy_mcp_e2e.py
@@ -1,27 +1,39 @@
 import asyncio
 import json
 import os
+import queue
 import socket
 import subprocess
 import sys
+import tempfile
 import threading
 import time
 import typing
+from contextlib import asynccontextmanager, contextmanager
+from dataclasses import dataclass
+from datetime import datetime
 from pathlib import Path
 
+import httpx
 import pytest
 import uvicorn
 import yaml
 from mcp import ClientSession
 from mcp.client.streamable_http import streamablehttp_client
+from mcp.types import CallToolResult
+from starlette.requests import Request
 
+from litellm.integrations.custom_logger import CustomLogger
+from litellm.proxy._experimental.mcp_server.tool_search import handle_mcp_proxy_tool
+from litellm.proxy._types import LiteLLM_ObjectPermissionTable, ProxyException, UserAPIKeyAuth
 from litellm.proxy.proxy_server import (
     app as proxy_app,
+)
+from litellm.proxy.proxy_server import (
     cleanup_router_config_variables,
     initialize,
 )
 
-
 CONFIG_TEMPLATE_PATH = Path("tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml")
 MCP_SERVER_SCRIPT = Path("tests/mcp_tests/mcp_server.py")
 PROJECT_ROOT = Path(__file__).resolve().parents[2]
@@ -46,28 +58,49 @@ def _clear_proxy_database_env() -> typing.Iterator[None]:
         mp.undo()
 
 
-def _initialize_proxy(config_path: str) -> None:
+async def _initialize_proxy(config_path: str) -> None:
+    from litellm.proxy._experimental.mcp_server.mcp_server_manager import global_mcp_server_manager
+
     cleanup_router_config_variables()
-    asyncio.run(initialize(config=config_path, debug=True))
+    await initialize(config=config_path, debug=True)
+    for server_id, upstream in tuple(global_mcp_server_manager.registry.items()):
+        if upstream.server_name != "math_restricted":
+            continue
+        global_mcp_server_manager.registry[server_id] = upstream.model_copy(
+            update={"tool_name_to_display_name": {"add": "Add Numbers"}}
+        )
+
+
+@dataclass(frozen=True)
+class ProxyRig:
+    url: str
+    config_path: str
+    loop: asyncio.AbstractEventLoop
 
 
 def _start_proxy_server(
     config_path: str,
-) -> tuple[str, uvicorn.Server, threading.Thread, socket.socket]:
-    _initialize_proxy(config_path)
-
+) -> tuple[ProxyRig, uvicorn.Server, threading.Thread, socket.socket]:
     sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
     sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
     sock.bind(("127.0.0.1", 0))
     host, port = sock.getsockname()
 
-    config = uvicorn.Config(proxy_app, host=host, port=port, log_level="warning")
+    config = uvicorn.Config(proxy_app, host=host, port=port, log_level="warning", lifespan="off")
     server = uvicorn.Server(config)
 
+    loop = asyncio.new_event_loop()
+
+    async def _serve() -> None:
+        from litellm.proxy._experimental.mcp_server import server as mcp_server
+
+        await _initialize_proxy(config_path)
+        async with proxy_app.router.lifespan_context(proxy_app), mcp_server.lifespan(proxy_app):
+            await server.serve(sockets=[sock])
+
     def _run() -> None:
-        loop = asyncio.new_event_loop()
-        asyncio.set_event_loop(loop)
-        loop.run_until_complete(server.serve(sockets=[sock]))
+        with asyncio.Runner(loop_factory=lambda: loop) as runner:
+            runner.run(_serve())
 
     thread = threading.Thread(target=_run, daemon=True)
     thread.start()
@@ -80,75 +113,93 @@ def _start_proxy_server(
             raise TimeoutError("Proxy server did not start in time")
         time.sleep(0.05)
 
-    return f"http://{host}:{port}", server, thread, sock
+    return ProxyRig(f"http://{host}:{port}", config_path, loop), server, thread, sock
 
 
-@pytest.fixture(scope="session")
-def math_streamable_http_server() -> str:
+@contextmanager
+def _math_http_server(offset: int) -> typing.Iterator[str]:
     host = "127.0.0.1"
     with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
         sock.bind((host, 0))
         _, port = sock.getsockname()
 
-    cmd = [
-        sys.executable,
-        str(MCP_SERVER_SCRIPT),
-        "--transport",
-        "http",
-        "--host",
-        host,
-        "--port",
-        str(port),
-    ]
-
-    env = os.environ.copy()
-    server_process = subprocess.Popen(
-        cmd,
-        cwd=str(PROJECT_ROOT),
-        stdout=subprocess.PIPE,
-        stderr=subprocess.PIPE,
-    )
-
-    start_time = time.time()
-    while True:
-        if server_process.poll() is not None:
-            stdout, stderr = server_process.communicate()
-            raise RuntimeError(
-                f"Streamable HTTP MCP server exited early.\nSTDOUT: {stdout.decode()}\nSTDERR: {stderr.decode()}"
-            )
+    with tempfile.TemporaryFile() as server_log:
+        process = subprocess.Popen(
+            [sys.executable, str(MCP_SERVER_SCRIPT), "--transport", "http", "--host", host, "--port", str(port)],
+            cwd=str(PROJECT_ROOT),
+            stdout=server_log,
+            stderr=subprocess.STDOUT,
+            env={**os.environ, "MCP_ADD_OFFSET": str(offset)},
+        )
         try:
-            with socket.create_connection((host, port), timeout=0.1):
-                break
-        except OSError:
-            if time.time() - start_time > PROXY_START_TIMEOUT:
-                server_process.terminate()
-                raise TimeoutError("Streamable HTTP MCP server did not start in time")
-            time.sleep(0.05)
-
-    yield f"http://{host}:{port}"
-
-    server_process.terminate()
-    try:
-        server_process.wait(timeout=5)
-    except subprocess.TimeoutExpired:
-        server_process.kill()
+            start_time = time.monotonic()
+            while True:
+                if process.poll() is not None:
+                    server_log.seek(0)
+                    raise RuntimeError(f"MCP upstream exited early: {server_log.read().decode()}")
+                try:
+                    with socket.create_connection((host, port), timeout=0.1):
+                        break
+                except OSError:
+                    if time.monotonic() - start_time > PROXY_START_TIMEOUT:
+                        raise TimeoutError("Streamable HTTP MCP server did not start in time")
+                    time.sleep(0.05)
+            yield f"http://{host}:{port}"
+        finally:
+            process.terminate()
+            try:
+                process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                process.kill()
+                process.wait(timeout=5)
 
 
 @pytest.fixture(scope="session")
-def proxy_server_url(tmp_path_factory: pytest.TempPathFactory, math_streamable_http_server: str):
+def math_streamable_http_server() -> typing.Iterator[str]:
+    with _math_http_server(100) as url:
+        yield url
+
+
+@pytest.fixture(scope="session")
+def math_restricted_server() -> typing.Iterator[str]:
+    with _math_http_server(200) as url:
+        yield url
+
+
+@pytest.fixture(scope="session")
+def _proxy_server(
+    tmp_path_factory: pytest.TempPathFactory,
+    math_streamable_http_server: str,
+    math_restricted_server: str,
+):
     config_dir = tmp_path_factory.mktemp("mcp_e2e")
     config_path = config_dir / "config.yaml"
     config = yaml.safe_load(CONFIG_TEMPLATE_PATH.read_text())
+    config["mcp_servers"]["math_stdio"]["command"] = sys.executable
     config["mcp_servers"]["math_streamable_http"]["url"] = f"{math_streamable_http_server}/mcp"
+    config["mcp_servers"]["math_restricted"]["url"] = f"{math_restricted_server}/mcp"
+    config["general_settings"]["custom_auth"] = f"{__name__}.authorize_proxy_key"
+    config["litellm_settings"]["callbacks"] = [f"{__name__}.proxy_call_recorder"]
+    config["mcp_servers"]["math_restricted"]["mcp_info"] = {"mcp_server_cost_info": {"default_cost_per_query": 0.25}}
     config_path.write_text(yaml.safe_dump(config))
 
-    server_url, server, thread, sock = _start_proxy_server(str(config_path))
+    rig, server, thread, sock = _start_proxy_server(str(config_path))
 
-    yield server_url
+    try:
+        yield rig
+    finally:
+        server.should_exit = True
+        thread.join(timeout=10)
+        sock.close()
+        assert not thread.is_alive(), "Proxy did not shut down"
 
-    server.should_exit = True
-    thread.join(timeout=10)
-    sock.close()
+
+@pytest.fixture
+def proxy_server_url(_proxy_server: ProxyRig, setup_and_teardown: None) -> str:
+    asyncio.run_coroutine_threadsafe(_initialize_proxy(_proxy_server.config_path), _proxy_server.loop).result(
+        timeout=30
+    )
+    return _proxy_server.url
 
 
 class TestProxyMcpSimpleConnections:
@@ -192,7 +243,7 @@ class TestProxyMcpSimpleConnections:
                     assert result.content
                     first_content = result.content[0]
                     text = getattr(first_content, "text", None)
-                    assert text == "11"
+                    assert text == "111"
 
     @pytest.mark.asyncio
     async def test_proxy_mcp_lists_all_servers_without_header(self, proxy_server_url: str) -> None:
@@ -222,7 +273,7 @@ class TestProxyMcpSimpleConnections:
                     stdio_result = await _call_and_get_text("math_stdio-add", a=2, b=3)
                     streamable_result = await _call_and_get_text("math_streamable_http-add", a=4, b=5)
                     assert stdio_result == "5"
-                    assert streamable_result == "9"
+                    assert streamable_result == "109"
 
 
 class TestProxyMcpStatelessBehavior:
@@ -349,7 +400,7 @@ class TestProxyMcpSchemaDiscoveryMode:
                         },
                     )
                     assert stdio.isError is False and stdio.content[0].text == "7"
-                    assert http.isError is False and http.content[0].text == "11"
+                    assert http.isError is False and http.content[0].text == "111"
 
     @pytest.mark.asyncio
     async def test_server_scope_header_narrows_discovery(self, proxy_server_url: str) -> None:
@@ -384,6 +435,12 @@ class TestProxyMcpSchemaDiscoveryMode:
                     stale = await session.call_tool("get_tool_schema", arguments={"tool_id": "0" * 32})
                     assert stale.isError is True and "unauthorized tool_id" in stale.content[0].text
 
+                    for not_an_object in ("wrong", False):
+                        refused_args = await session.call_tool(
+                            "call_tool", arguments={"tool_id": tool_id, "arguments": not_an_object}
+                        )
+                        assert refused_args.isError is True and "object" in refused_args.content[0].text
+
                     direct = await session.call_tool("math_stdio-add", arguments={"a": 1, "b": 2})
                     assert direct.isError is True and "unavailable on /mcp/proxy" in direct.content[0].text
 
@@ -391,3 +448,208 @@ class TestProxyMcpSchemaDiscoveryMode:
                         with pytest.raises(McpError) as refused:
                             await operation()
                         assert refused.value.error.code == METHOD_NOT_FOUND
+
+
+async def authorize_proxy_key(request: Request, api_key: str) -> UserAPIKeyAuth:
+    permissions = {
+        "sk-1234": LiteLLM_ObjectPermissionTable(object_permission_id="open", mcp_servers=["math_stdio"]),
+        "sk-restricted": LiteLLM_ObjectPermissionTable(
+            object_permission_id="restricted", mcp_servers=["math_restricted"]
+        ),
+        "sk-none": LiteLLM_ObjectPermissionTable(object_permission_id="none", mcp_servers=["no-mcp-servers"]),
+        "sk-add-only": LiteLLM_ObjectPermissionTable(
+            object_permission_id="add-only", mcp_servers=["math_stdio"], mcp_tool_permissions={"math_stdio": ["add"]}
+        ),
+    }
+    permission = permissions.get(api_key)
+    if permission is None:
+        raise ProxyException(message="Unknown test key", type="authentication_error", param=None, code=401)
+    return UserAPIKeyAuth(api_key=api_key, user_id=api_key, object_permission=permission)
+
+
+class ProxyCallRecorder(CustomLogger):
+    def __init__(self) -> None:
+        super().__init__()
+        self.events: queue.Queue[str] = queue.Queue()
+
+    async def async_log_success_event(
+        self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime
+    ) -> None:
+        payload = kwargs.get("standard_logging_object")
+        if isinstance(payload, dict) and payload.get("call_type") == "call_mcp_tool":
+            self.events.put(json.dumps(payload, default=str))
+
+
+proxy_call_recorder = ProxyCallRecorder()
+
+
+@asynccontextmanager
+async def _scoped_session(url: str, key: str = "sk-1234", **headers: str) -> typing.AsyncIterator[ClientSession]:
+    async with asyncio.timeout(30):
+        async with _proxy_session(url, Authorization=f"Bearer {key}", **headers) as (read, write, _sid):
+            async with ClientSession(read, write) as session:
+                await session.initialize()
+                yield session
+
+
+async def _search(session: ClientSession, query: str) -> dict[str, str]:
+    result = await session.call_tool("search_tools", arguments={"query": query})
+    assert result.isError is False, result
+    return {hit["name"]: hit["tool_id"] for hit in _payload(result)}
+
+
+async def _call(session: ClientSession, tool_id: str, a: int = 3, b: int = 4) -> CallToolResult:
+    return await session.call_tool("call_tool", arguments={"tool_id": tool_id, "arguments": {"a": a, "b": b}})
+
+
+def _assert_unauthorized(result: CallToolResult) -> None:
+    assert result.isError is True
+    assert result.content[0].text == "Unknown or unauthorized tool_id"
+
+
+class TestProxyMcpAuthorizationScope:
+    @pytest.mark.asyncio
+    async def test_server_grant_bounds_search_and_blocks_foreign_ids(self, proxy_server_url: str) -> None:
+        async with _scoped_session(proxy_server_url, "sk-restricted") as granted:
+            restricted_id = (await _search(granted, "add"))["math_restricted-add"]
+            assert (await _call(granted, restricted_id)).content[0].text == "207"
+        async with _scoped_session(proxy_server_url) as ungranted:
+            assert set(await _search(ungranted, "add")) == {"math_stdio-add", "math_streamable_http-add"}
+            _assert_unauthorized(await ungranted.call_tool("get_tool_schema", {"tool_id": restricted_id}))
+            _assert_unauthorized(await _call(ungranted, restricted_id))
+
+    @pytest.mark.asyncio
+    async def test_no_mcp_servers_sentinel_hides_every_tool(self, proxy_server_url: str) -> None:
+        async with _scoped_session(proxy_server_url) as granted:
+            tool_id = (await _search(granted, "add"))["math_stdio-add"]
+        async with _scoped_session(proxy_server_url, "sk-none") as session:
+            assert await _search(session, "add") == {}
+            _assert_unauthorized(await session.call_tool("get_tool_schema", {"tool_id": tool_id}))
+            _assert_unauthorized(await _call(session, tool_id))
+
+    @pytest.mark.asyncio
+    async def test_tool_grant_hides_ungranted_tools_and_blocks_their_ids(self, proxy_server_url: str) -> None:
+        async with _scoped_session(proxy_server_url) as granted:
+            multiply_id = (await _search(granted, "multiply"))["math_stdio-multiply"]
+        async with _scoped_session(proxy_server_url, "sk-add-only", **{"x-mcp-servers": "math_stdio"}) as session:
+            ids = await _search(session, "add multiply request_headers")
+            assert set(ids) == {"math_stdio-add"}
+            assert (await _call(session, ids["math_stdio-add"])).content[0].text == "7"
+            _assert_unauthorized(await session.call_tool("get_tool_schema", {"tool_id": multiply_id}))
+            _assert_unauthorized(await _call(session, multiply_id))
+
+    @pytest.mark.asyncio
+    async def test_same_named_tools_keep_distinct_ids_and_reach_their_own_upstream(self, proxy_server_url: str) -> None:
+        async with _scoped_session(proxy_server_url, "sk-restricted") as session:
+            ids = await _search(session, "add")
+            assert set(ids) == {"math_stdio-add", "math_streamable_http-add", "math_restricted-add"}
+            assert len(set(ids.values())) == 3
+            assert all(len(tool_id) == 32 for tool_id in ids.values())
+            for name, expected in (
+                ("math_stdio-add", "7"),
+                ("math_streamable_http-add", "107"),
+                ("math_restricted-add", "207"),
+            ):
+                schema = _payload(await session.call_tool("get_tool_schema", {"tool_id": ids[name]}))
+                assert schema["name"] == name
+                assert schema["tool_id"] == ids[name]
+                result = await _call(session, ids[name])
+                assert result.isError is False
+                assert result.content[0].text == expected
+
+    @pytest.mark.asyncio
+    async def test_server_scope_header_narrows_grants_and_blocks_out_of_scope_ids(self, proxy_server_url: str) -> None:
+        async with _scoped_session(proxy_server_url, "sk-restricted") as unscoped:
+            other_id = (await _search(unscoped, "add"))["math_stdio-add"]
+        async with _scoped_session(
+            proxy_server_url, "sk-restricted", **{"x-mcp-servers": "math_restricted"}
+        ) as session:
+            ids = await _search(session, "add")
+            assert set(ids) == {"math_restricted-add"}
+            _assert_unauthorized(await session.call_tool("get_tool_schema", {"tool_id": other_id}))
+            _assert_unauthorized(await _call(session, other_id))
+            assert (await _call(session, ids["math_restricted-add"])).content[0].text == "207"
+
+    @pytest.mark.asyncio
+    @pytest.mark.parametrize("key", [None, "sk-invalid"])
+    async def test_missing_or_invalid_key_cannot_initialize(self, proxy_server_url: str, key: str | None) -> None:
+        async with httpx.AsyncClient() as client:
+            response = await client.post(
+                f"{proxy_server_url}/mcp/proxy",
+                headers={
+                    "Accept": "application/json, text/event-stream",
+                    **({"Authorization": f"Bearer {key}"} if key else {}),
+                },
+                json={
+                    "jsonrpc": "2.0",
+                    "id": 1,
+                    "method": "initialize",
+                    "params": {
+                        "protocolVersion": "2025-03-26",
+                        "capabilities": {},
+                        "clientInfo": {"name": "auth-test", "version": "1"},
+                    },
+                },
+            )
+        assert response.status_code == 401, response.text
+
+    @pytest.mark.asyncio
+    async def test_server_headers_are_forwarded_only_to_the_named_upstream(self, proxy_server_url: str) -> None:
+        for tag in ("first-request", "second-request"):
+            async with _scoped_session(
+                proxy_server_url,
+                "sk-restricted",
+                **{
+                    "x-mcp-math_restricted-authorization": f"Bearer {tag}",
+                    "x-mcp-math_restricted-x-request-tag": tag,
+                },
+            ) as session:
+                ids = await _search(session, "request_headers")
+                for name, expected in (
+                    ("math_restricted", {"authorization": f"Bearer {tag}", "x-request-tag": tag}),
+                    ("math_streamable_http", {"authorization": "", "x-request-tag": ""}),
+                ):
+                    result = await session.call_tool(
+                        "call_tool", {"tool_id": ids[f"{name}-request_headers"], "arguments": {}}
+                    )
+                    assert result.isError is False
+                    assert _payload(result) == expected
+
+    @pytest.mark.asyncio
+    async def test_proxy_call_emits_spend_log(self, proxy_server_url: str) -> None:
+        async with _scoped_session(proxy_server_url, "sk-restricted") as session:
+            tool_id = (await _search(session, "add"))["math_restricted-add"]
+            result = await _call(session, tool_id, 123, 456)
+            assert result.isError is False and result.content[0].text == "779"
+            async with asyncio.timeout(10):
+                while True:
+                    payload = json.loads(await asyncio.to_thread(proxy_call_recorder.events.get, True, 5))
+                    if payload.get("metadata", {}).get("mcp_tool_call_metadata", {}).get("arguments") == {
+                        "a": 123,
+                        "b": 456,
+                    }:
+                        break
+            assert payload["call_type"] == "call_mcp_tool"
+            assert payload["response_cost"] == 0.25
+            assert payload["status"] == "success"
+            assert payload["metadata"]["mcp_tool_call_metadata"]["mcp_server_name"] == "math_restricted"
+            assert payload["metadata"]["mcp_tool_call_metadata"]["name"] == "add"
+            assert payload["metadata"]["mcp_tool_call_metadata"]["namespaced_tool_name"] == "math_restricted/add"
+
+    @pytest.mark.parametrize("arguments", ["wrong", False, None, [], 0])
+    def test_handler_rejects_non_object_arguments(
+        self, proxy_server_url: str, _proxy_server: ProxyRig, arguments: object
+    ) -> None:
+        async def check() -> None:
+            auth = UserAPIKeyAuth(
+                object_permission=LiteLLM_ObjectPermissionTable(
+                    object_permission_id="validation", mcp_servers=["math_stdio"]
+                )
+            )
+            hits = _payload(await handle_mcp_proxy_tool("search_tools", {"query": "add"}, auth))
+            tool_id = next(hit["tool_id"] for hit in hits if hit["name"] == "math_stdio-add")
+            result = await handle_mcp_proxy_tool("call_tool", {"tool_id": tool_id, "arguments": arguments}, auth)
+            assert result.isError is True
+            assert result.content[0].text == "arguments must be an object"
+
+        asyncio.run_coroutine_threadsafe(check(), _proxy_server.loop).result(timeout=30)
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
index 413785529d5..29711f80deb 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
@@ -1,355 +1,50 @@
-import json
-from collections.abc import Iterator
-from unittest.mock import AsyncMock, patch
-
 import pytest
-from mcp.types import CallToolResult, TextContent, Tool
+from mcp.shared.exceptions import McpError
+from pydantic import AnyUrl
 
 from litellm.proxy._experimental.mcp_server import server
-from litellm.proxy._experimental.mcp_server.faults.list_outcomes import AggregateToolListing
-from litellm.proxy._experimental.mcp_server.tool_search import (
-    MCP_PROXY_CALL_TOOL_NAME,
-    MCP_PROXY_SCHEMA_TOOL_NAME,
-    MCP_PROXY_SEARCH_TOOL_NAME,
-    handle_mcp_proxy_tool,
-    mcp_proxy_tool_id,
-    with_mcp_proxy_identity,
-)
-from litellm.proxy._types import LiteLLM_ObjectPermissionTable, UserAPIKeyAuth
-from litellm.types.mcp import MCPTransport
-from litellm.types.mcp_server.mcp_server_manager import MCPServer
+from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
+from litellm.proxy._types import UserAPIKeyAuth
 
-TOOL = Tool.model_validate(
-    {
-        "name": "math_stdio-add",
-        "description": "Add two numbers",
-        "inputSchema": {
-            "type": "object",
-            "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
-            "required": ["a", "b"],
-        },
-        "outputSchema": {"type": "object"},
-        "_meta": {"litellm.ai/proxy_tool_identity": {"server_id": "server-1", "tool_name": "math_stdio-add"}},
-    }
-)
 AUTH = UserAPIKeyAuth(api_key="key")
 
 
-def _text(result: CallToolResult) -> object:
-    return json.loads(result.content[0].text)
-
-
-@pytest.mark.asyncio
-async def test_proxy_search_returns_opaque_id_and_schema() -> None:
-    with (
-        patch(  # test-quality-ok: isolate authorized catalog owner
-            "litellm.proxy._experimental.mcp_server.server._list_mcp_tools",
-            new_callable=AsyncMock,
-            return_value=AggregateToolListing(tools=[TOOL], outcomes={}),
-        ),
-    ):
-        result = await handle_mcp_proxy_tool(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "add"}, AUTH)
-
-    item = _text(result)[0]
-    assert item["tool_id"] == mcp_proxy_tool_id(TOOL)
-    assert item["name"] == TOOL.name
-    assert "inputSchema" not in item
-    assert "outputSchema" not in item
-    assert len(item["tool_id"]) == 32
-
-
-@pytest.mark.asyncio
-async def test_proxy_schema_and_call_resolve_current_authorized_catalog() -> None:
-    executed = CallToolResult(content=[TextContent(type="text", text="3")], isError=False)
-    with (
-        patch(  # test-quality-ok: isolate authorized catalog owner
-            "litellm.proxy._experimental.mcp_server.server._list_mcp_tools",
-            new_callable=AsyncMock,
-            return_value=AggregateToolListing(tools=[TOOL], outcomes={}),
-        ),
-        patch(  # test-quality-ok: isolate execution delegate seam
-            "litellm.proxy._experimental.mcp_server.tool_search.handle_mcp_tool_call",
-            new_callable=AsyncMock,
-            return_value=executed,
-        ) as call,
-    ):
-        schema = await handle_mcp_proxy_tool(
-            MCP_PROXY_SCHEMA_TOOL_NAME,
-            {"tool_id": mcp_proxy_tool_id(TOOL)},
-            AUTH,
-        )
-        result = await handle_mcp_proxy_tool(
-            MCP_PROXY_CALL_TOOL_NAME,
-            {"tool_id": mcp_proxy_tool_id(TOOL), "arguments": {"a": 1, "b": 2}},
-            AUTH,
-        )
-
-    assert _text(schema)["inputSchema"] == TOOL.inputSchema
-    assert result is executed
-    assert call.await_args.kwargs["tool_name"] == TOOL.name
-    assert call.await_args.kwargs["arguments"] == {"a": 1, "b": 2}
-    assert call.await_args.kwargs["requested_server_id"] == "server-1"
-
-
-@pytest.mark.asyncio
-async def test_proxy_rejects_stale_id_and_invalid_arguments_before_dispatch() -> None:
-    with (
-        patch(  # test-quality-ok: isolate authorized catalog owner
-            "litellm.proxy._experimental.mcp_server.server._list_mcp_tools",
-            new_callable=AsyncMock,
-            return_value=AggregateToolListing(tools=[TOOL], outcomes={}),
-        ),
-        patch(  # test-quality-ok: isolate execution delegate seam
-            "litellm.proxy._experimental.mcp_server.tool_search.handle_mcp_tool_call", new_callable=AsyncMock
-        ) as call,
-    ):
-        stale = await handle_mcp_proxy_tool(MCP_PROXY_SCHEMA_TOOL_NAME, {"tool_id": "stale"}, AUTH)
-        invalid = await handle_mcp_proxy_tool(
-            MCP_PROXY_CALL_TOOL_NAME,
-            {"tool_id": mcp_proxy_tool_id(TOOL), "arguments": "wrong"},
-            AUTH,
-        )
-        falsy = await handle_mcp_proxy_tool(
-            MCP_PROXY_CALL_TOOL_NAME,
-            {"tool_id": mcp_proxy_tool_id(TOOL), "arguments": False},
-            AUTH,
-        )
-        invalid_schema = await handle_mcp_proxy_tool(
-            MCP_PROXY_CALL_TOOL_NAME,
-            {"tool_id": mcp_proxy_tool_id(TOOL), "arguments": {"a": "wrong"}},
-            AUTH,
-        )
-
-    assert stale.isError is True
-    assert invalid.isError is True
-    assert falsy.isError is True
-    assert invalid_schema.isError is True
-    call.assert_not_awaited()
-
-
-@pytest.mark.asyncio
-async def test_proxy_call_builds_logging_object() -> None:
-    from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
-
-    sentinel = object()
-    result = CallToolResult(content=[TextContent(type="text", text="ok")], isError=False)
+@pytest.fixture
+def proxy_mode():
     token = _mcp_proxy_mode.set(True)
     try:
-        with (
-            patch.object(  # test-quality-ok: isolate logging pipeline seam
-                server, "_build_virtual_call_logging_obj", new_callable=AsyncMock, return_value=sentinel
-            ) as build,
-            patch(  # test-quality-ok: isolate proxy dispatch seam
-                "litellm.proxy._experimental.mcp_server.tool_search.handle_mcp_proxy_tool",
-                new_callable=AsyncMock,
-                return_value=result,
-            ) as handle,
-        ):
-            actual = await server._dispatch_virtual_mcp_tool(
-                name=MCP_PROXY_CALL_TOOL_NAME,
-                arguments={"tool_id": "id", "arguments": {}},
-                user_api_key_auth=AUTH,
-                client_ip=None,
-            )
+        yield
     finally:
         _mcp_proxy_mode.reset(token)
 
-    assert actual is result
-    build.assert_awaited_once()
-    assert handle.await_args.kwargs["litellm_logging_obj"] is sentinel
-
 
 @pytest.mark.asyncio
+@pytest.mark.usefixtures("proxy_mode")
 async def test_proxy_call_rejects_non_proxy_tool_names() -> None:
-    from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
-
-    token = _mcp_proxy_mode.set(True)
-    try:
-        result = await server._dispatch_virtual_mcp_tool(
-            name="math_stdio-add",
-            arguments={"a": 1, "b": 2},
-            user_api_key_auth=AUTH,
-            client_ip=None,
-        )
-    finally:
-        _mcp_proxy_mode.reset(token)
+    result = await server._dispatch_virtual_mcp_tool(
+        name="math_stdio-add", arguments={"a": 1, "b": 2}, user_api_key_auth=AUTH, client_ip=None
+    )
 
     assert result is not None
     assert result.isError is True
-    assert "unavailable" in result.content[0].text
+    assert "unavailable on /mcp/proxy" in result.content[0].text
 
 
 @pytest.mark.asyncio
+@pytest.mark.usefixtures("proxy_mode")
 async def test_proxy_rejects_non_tool_protocol_operations() -> None:
-    from mcp.shared.exceptions import McpError
-    from pydantic import AnyUrl
-
-    from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
-
-    token = _mcp_proxy_mode.set(True)
-    try:
-        with pytest.raises(McpError):
-            await server.list_prompts()
-        with pytest.raises(McpError):
-            await server.get_prompt("prompt", {})
-        with pytest.raises(McpError):
-            await server.list_resources()
-        with pytest.raises(McpError):
-            await server.list_resource_templates()
-        with pytest.raises(McpError):
-            await server.read_resource(AnyUrl("https://example.com/resource"))
-    finally:
-        _mcp_proxy_mode.reset(token)
-
-
-@pytest.mark.asyncio
-async def test_proxy_list_mode_has_fixed_definitions_without_search_flag() -> None:
-    from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
-
-    token = _mcp_proxy_mode.set(True)
-    try:
-        with patch(  # test-quality-ok: isolate authenticated MCP context seam
-            "litellm.proxy._experimental.mcp_server.server.get_or_extract_auth_context",
-            new_callable=AsyncMock,
-            return_value=(AUTH, None, None, None, None, None, None),
-        ):
-            tools = await server.handle_list_tools()
-            options = server.server.create_initialization_options()
-    finally:
-        _mcp_proxy_mode.reset(token)
-
-    assert {tool.name for tool in tools} == {
-        MCP_PROXY_SEARCH_TOOL_NAME,
-        MCP_PROXY_SCHEMA_TOOL_NAME,
-        MCP_PROXY_CALL_TOOL_NAME,
-    }
+    options = server.server.create_initialization_options()
     assert options.capabilities.prompts is None
     assert options.capabilities.resources is None
     assert options.capabilities.tools is not None
 
-
-def _server(server_id: str, name: str, **overrides: object) -> MCPServer:
-    return MCPServer(
-        server_id=server_id,
-        name=name,
-        server_name=name,
-        url=f"http://{name}.test",
-        transport=MCPTransport.http,
-        **overrides,
-    )
-
-
-def _upstream_tool(prefix: str, name: str) -> Tool:
-    return Tool(
-        name=f"{prefix}-{name}",
-        description=f"{name} numbers",
-        inputSchema={"type": "object", "properties": {"a": {"type": "integer"}}, "required": ["a"]},
-    )
-
-
-def _auth(**object_permission: object) -> UserAPIKeyAuth:
-    return UserAPIKeyAuth(
-        api_key="sk-scope",
-        object_permission=LiteLLM_ObjectPermissionTable(object_permission_id="scope", **object_permission),
-    )
-
-
-def _ids(result: CallToolResult) -> dict[str, str]:
-    return {item["name"]: item["tool_id"] for item in _text(result)}
-
-
-class TestMcpProxyAuthorizationScope:
-    """The real catalog resolver runs (server grants, tool grants, scope header, sentinel); only the
-    upstream tools/list fetch and the final upstream dispatch are faked."""
-
-    ALPHA = _server("srv-alpha", "alpha", tool_name_to_display_name={"add": "Add Numbers"})
-    BETA = _server("srv-beta", "beta")
-    ALPHA_ADD = with_mcp_proxy_identity(_upstream_tool("alpha", "add"), "srv-alpha")
-    ALPHA_MULTIPLY = with_mcp_proxy_identity(_upstream_tool("alpha", "multiply"), "srv-alpha")
-    BETA_ADD = with_mcp_proxy_identity(_upstream_tool("beta", "add"), "srv-beta")
-
-    @pytest.fixture
-    def rig(self) -> Iterator[AsyncMock]:
-        from litellm.proxy._experimental.mcp_server.mcp_server_manager import global_mcp_server_manager
-
-        upstream = {
-            "srv-alpha": [_upstream_tool("alpha", "add"), _upstream_tool("alpha", "multiply")],
-            "srv-beta": [_upstream_tool("beta", "add")],
-        }
-
-        async def fetch(server: MCPServer, **_: object) -> list[Tool]:
-            return list(upstream[server.server_id])
-
-        dispatched = AsyncMock(
-            return_value=CallToolResult(content=[TextContent(type="text", text="ok")], isError=False)
-        )
-        global_mcp_server_manager.registry.update({"srv-alpha": self.ALPHA, "srv-beta": self.BETA})
-        with (
-            patch.object(  # test-quality-ok: the upstream MCP server is the only faked collaborator
-                global_mcp_server_manager, "_get_tools_from_server", new=AsyncMock(side_effect=fetch)
-            ),
-            patch.object(global_mcp_server_manager, "call_tool", new=dispatched),  # test-quality-ok: dispatch seam
-        ):
-            yield dispatched
-
-    async def _proxy(
-        self, name: str, arguments: dict[str, object], auth: UserAPIKeyAuth, **kwargs: object
-    ) -> CallToolResult:
-        return await handle_mcp_proxy_tool(name, arguments, auth, **kwargs)
-
-    @pytest.mark.asyncio
-    async def test_search_and_schema_are_bounded_by_the_key_server_grant(self, rig: AsyncMock) -> None:
-        granted = _auth(mcp_servers=["srv-alpha"])
-
-        assert _ids(await self._proxy(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "numbers"}, granted)) == {
-            "alpha-add": mcp_proxy_tool_id(self.ALPHA_ADD),
-            "alpha-multiply": mcp_proxy_tool_id(self.ALPHA_MULTIPLY),
-        }
-        denied_schema = await self._proxy(
-            MCP_PROXY_SCHEMA_TOOL_NAME, {"tool_id": mcp_proxy_tool_id(self.BETA_ADD)}, granted
-        )
-        denied_call = await self._proxy(
-            MCP_PROXY_CALL_TOOL_NAME, {"tool_id": mcp_proxy_tool_id(self.BETA_ADD), "arguments": {"a": 1}}, granted
-        )
-        assert denied_schema.isError is True and denied_call.isError is True
-        rig.assert_not_awaited()
-
-    @pytest.mark.asyncio
-    async def test_no_mcp_servers_sentinel_hides_every_tool(self, rig: AsyncMock) -> None:
-        result = await self._proxy(
-            MCP_PROXY_SEARCH_TOOL_NAME, {"query": "numbers"}, _auth(mcp_servers=["no-mcp-servers"])
-        )
-        assert _text(result) == []
-        rig.assert_not_awaited()
-
-    @pytest.mark.asyncio
-    async def test_tool_grant_hides_ungranted_tools_and_blocks_their_ids(self, rig: AsyncMock) -> None:
-        scoped = _auth(mcp_servers=["srv-alpha"], mcp_tool_permissions={"srv-alpha": ["add"]})
-
-        assert set(_ids(await self._proxy(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "numbers"}, scoped))) == {"alpha-add"}
-        blocked = await self._proxy(
-            MCP_PROXY_CALL_TOOL_NAME, {"tool_id": mcp_proxy_tool_id(self.ALPHA_MULTIPLY), "arguments": {"a": 1}}, scoped
-        )
-        assert blocked.isError is True
-        rig.assert_not_awaited()
-
-    @pytest.mark.asyncio
-    async def test_same_named_tools_keep_distinct_ids_and_dispatch_to_their_own_server(self, rig: AsyncMock) -> None:
-        both = _auth(mcp_servers=["srv-alpha", "srv-beta"])
-
-        ids = _ids(await self._proxy(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "add"}, both))
-        assert set(ids) == {"alpha-add", "beta-add"}, "display-name overrides must not rename proxy identities"
-        assert ids["alpha-add"] != ids["beta-add"]
-
-        result = await self._proxy(MCP_PROXY_CALL_TOOL_NAME, {"tool_id": ids["beta-add"], "arguments": {"a": 1}}, both)
-        assert result.isError is False
-        rig.assert_awaited_once()
-        assert rig.await_args.kwargs["server_name"] == "beta"
-        assert rig.await_args.kwargs["name"] == "add"
-
-    @pytest.mark.asyncio
-    async def test_server_scope_header_narrows_search_within_the_grant(self, rig: AsyncMock) -> None:
-        both = _auth(mcp_servers=["srv-alpha", "srv-beta"])
-        scoped = await self._proxy(MCP_PROXY_SEARCH_TOOL_NAME, {"query": "add"}, both, mcp_servers=["beta"])
-        assert set(_ids(scoped)) == {"beta-add"}
-        rig.assert_not_awaited()
+    with pytest.raises(McpError):
+        await server.list_prompts()
+    with pytest.raises(McpError):
+        await server.get_prompt("prompt", {})
+    with pytest.raises(McpError):
+        await server.list_resources()
+    with pytest.raises(McpError):
+        await server.list_resource_templates()
+    with pytest.raises(McpError):
+        await server.read_resource(AnyUrl("https://example.com/resource"))

From 163847333242b7e75b1a15c27519beef2b1365ed Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 19:02:08 -0700
Subject: [PATCH 179/223] fix(bedrock): keep deletion response IDs in request
 context

---
 litellm/llms/bedrock/files/transformation.py  | 18 ++++++-------
 .../test_bedrock_files_transformation.py      | 27 +++++++++++++++++++
 2 files changed, 36 insertions(+), 9 deletions(-)

diff --git a/litellm/llms/bedrock/files/transformation.py b/litellm/llms/bedrock/files/transformation.py
index 90b539ff37c..9875ac2b9c3 100644
--- a/litellm/llms/bedrock/files/transformation.py
+++ b/litellm/llms/bedrock/files/transformation.py
@@ -13,7 +13,7 @@ from urllib.parse import unquote
 import httpx
 from httpx import Headers, Response
 from openai.types.file_deleted import FileDeleted
-from pydantic import BaseModel, ConfigDict, TypeAdapter
+from pydantic import BaseModel, ConfigDict, Field, TypeAdapter
 from typing_extensions import ReadOnly
 
 from litellm._logging import verbose_logger
@@ -61,7 +61,11 @@ from ..base_aws_llm import BaseAWSLLM
 from ..common_utils import BedrockError, merge_bedrock_aws_request_params, resolve_s3_encryption_key_id
 
 S3_SIGNED_REQUEST_HEADERS_PARAM: Final = "_s3_signed_request_headers"
-S3_DELETE_FILE_ID_PARAM: Final = "_s3_delete_file_id"
+
+
+class _S3DeleteContext(BaseModel):
+    file_id: str = Field(min_length=1)
+
 
 # litellm_params key carrying the size of the body uploaded to S3, handed from
 # `transform_create_file_request` to `transform_create_file_response`.
@@ -1187,11 +1191,9 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
         optional_params: Mapping[str, object],
         litellm_params: MutableMapping[str, object],
     ) -> tuple[str, dict[str, str]]:
-        request: Final = self._transform_s3_file_request(
+        return self._transform_s3_file_request(
             file_id=file_id, method="DELETE", optional_params=optional_params, litellm_params=litellm_params
         )
-        litellm_params[S3_DELETE_FILE_ID_PARAM] = file_id
-        return request
 
     def transform_delete_file_response(
         self,
@@ -1205,10 +1207,8 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig):
                 message=raw_response.text or f"S3 file deletion returned HTTP {raw_response.status_code}",
                 headers=raw_response.headers,
             )
-        file_id: Final = litellm_params.get(S3_DELETE_FILE_ID_PARAM)
-        if not isinstance(file_id, str) or not file_id:
-            raise ValueError("Missing file id for Bedrock file deletion response")
-        return FileDeleted(id=file_id, deleted=True, object="file")
+        context: Final = _S3DeleteContext.model_validate(logging_obj.model_call_details.get("additional_args"))
+        return FileDeleted(id=context.file_id, deleted=True, object="file")
 
     def transform_list_files_request(
         self,
diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
index 2c02a58663e..3b01a4f2054 100644
--- a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
+++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py
@@ -1861,6 +1861,33 @@ class TestBedrockFileDeletion:
     S3_URI: Final = "s3://my-bucket/litellm-bedrock-files-model-abc.jsonl"
     URL: Final = "https://s3.us-west-2.amazonaws.com/my-bucket/litellm-bedrock-files-model-abc.jsonl"
 
+    def test_interleaved_deletions_keep_their_own_file_ids(self, monkeypatch: pytest.MonkeyPatch) -> None:
+        import httpx
+
+        from litellm.llms.bedrock.files.transformation import BedrockFilesConfig
+
+        monkeypatch.setenv("AWS_S3_BUCKET_NAME", "my-bucket")
+        config: Final = BedrockFilesConfig()
+        params: Final = {
+            "aws_access_key_id": "AKIAEXAMPLE",
+            "aws_secret_access_key": "test-secret",
+            "aws_region_name": "us-west-2",
+        }
+        file_ids: Final = (self.S3_URI, "s3://my-bucket/litellm-bedrock-files-model-second.jsonl")
+        for file_id in file_ids:
+            config.transform_delete_file_request(file_id=file_id, optional_params={}, litellm_params=params)
+
+        deleted: Final = tuple(
+            config.transform_delete_file_response(
+                raw_response=httpx.Response(204),
+                logging_obj=MagicMock(model_call_details={"additional_args": {"file_id": file_id}}),
+                litellm_params=params,
+            ).id
+            for file_id in file_ids
+        )
+
+        assert deleted == file_ids
+
     def test_delete_file_sends_signed_delete_and_returns_matching_id(self, monkeypatch: pytest.MonkeyPatch) -> None:
         import httpx
         import respx

From 0086b62b4575fb5bb69653c2ad3d196822bd3f13 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 02:05:08 +0000
Subject: [PATCH 180/223] fix(cost-map): keep first fetch blocking, run retries
 in background

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/__init__.py                           |   4 +-
 .../litellm_core_utils/get_model_cost_map.py  | 132 +++++++++-
 litellm/proxy/proxy_server.py                 |  23 +-
 .../test_get_model_cost_map.py                | 235 +++++++++++++-----
 4 files changed, 296 insertions(+), 98 deletions(-)

diff --git a/litellm/__init__.py b/litellm/__init__.py
index 42c0ea881fd..4e3754399da 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -541,7 +541,7 @@ _key_management_system: Optional["KeyManagementSystem"] = None
 #### PII MASKING ####
 output_parse_pii: bool = False
 #############################################
-from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map
+from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map, mark_litellm_import_complete
 
 model_cost = get_model_cost_map(url=model_cost_map_url)
 cost_discount_config: Dict[str, float] = {}  # Provider-specific cost discounts {"vertex_ai": 0.05} = 5% discount
@@ -2397,3 +2397,5 @@ def __getattr__(name: str) -> Any:
 
 
 # ALL_LITELLM_RESPONSE_TYPES is lazy-loaded via __getattr__ to avoid loading utils at import time
+
+mark_litellm_import_complete()
diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index 9cba5db8ab7..4118cd3420e 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -12,6 +12,7 @@ import asyncio
 import json
 import os
 import random
+import threading
 import time
 from collections.abc import Awaitable, Callable
 from dataclasses import dataclass
@@ -159,6 +160,15 @@ class GetModelCostMap:
 RETRYABLE_FETCH_STATUS_CODES: Final = frozenset({429, 500, 502, 503, 504})
 MODEL_COST_MAP_FETCH_MAX_ATTEMPTS: Final = 3
 MODEL_COST_MAP_FETCH_MAX_WAIT_SECONDS: Final = 30.0
+_litellm_import_complete = threading.Event()
+
+
+def mark_litellm_import_complete() -> None:
+    _litellm_import_complete.set()
+
+
+def _start_daemon_thread(fn: Callable[[], None]) -> None:
+    threading.Thread(target=fn, name="litellm-model-cost-map-retry", daemon=True).start()
 
 
 @dataclass(frozen=True, slots=True)
@@ -297,9 +307,15 @@ def _fetch_remote_model_cost_map_with_retry_sync(
     sleep: Callable[[float], None],
     rng: random.Random,
     client: _SyncGetClient,
+    starting_attempt: int = 1,
+    initial_outcome: _FetchAttemptRetryable | None = None,
 ) -> ModelCostMapReloadResult:
-    for attempt in range(1, max_attempts + 1):
-        outcome = _attempt_fetch_sync(client=client, url=url, timeout=timeout)
+    for attempt in range(starting_attempt, max_attempts + 1):
+        outcome = (
+            initial_outcome
+            if initial_outcome is not None and attempt == starting_attempt
+            else _attempt_fetch_sync(client=client, url=url, timeout=timeout)
+        )
         if not isinstance(outcome, _FetchAttemptRetryable):
             return outcome
         wait_seconds = _next_retry_wait(outcome=outcome, attempt=attempt, max_attempts=max_attempts, rng=rng)
@@ -464,6 +480,70 @@ def _finalize_model_cost_map(model_cost: dict) -> dict:
     return _expand_model_aliases(model_cost)
 
 
+def adopt_model_cost_map(
+    new_model_cost_map: dict,  # mutable-ok: public API preserves the mutable cost-map contract
+) -> int:
+    import litellm
+    from litellm import utils
+
+    litellm.model_cost = new_model_cost_map
+    utils._invalidate_model_cost_lowercase_map()  # pyright: ignore[reportPrivateUsage]  # required cache invalidation
+    litellm.add_known_models(model_cost_map=new_model_cost_map)
+    fetched_model_count: Final = len(new_model_cost_map) if new_model_cost_map else 0
+    utils.reapply_runtime_model_cost_registrations()
+    return fetched_model_count
+
+
+def _continue_remote_fetch_in_background(
+    url: str,
+    timeout: int,
+    max_attempts: int,
+    sleep: Callable[[float], None],
+    rng: random.Random,
+    client: _SyncGetClient,
+    first_outcome: _FetchAttemptRetryable,
+    apply: Callable[[dict], object],  # mutable-ok: injected callback receives the mutable cost-map dict
+) -> None:
+    try:
+        result: Final = _fetch_remote_model_cost_map_with_retry_sync(
+            url=url,
+            timeout=timeout,
+            max_attempts=max_attempts,
+            sleep=sleep,
+            rng=rng,
+            client=client,
+            initial_outcome=first_outcome,
+        )
+        if isinstance(result, ModelCostMapReloadUnavailable):
+            verbose_logger.warning(
+                "LiteLLM: Failed to fetch remote model cost map from %s after %d attempts; keeping local backup",
+                url,
+                max_attempts,
+            )
+            return
+        backup_model_count: Final = GetModelCostMap._get_backup_model_count()  # pyright: ignore[reportPrivateUsage]  # integrity cache
+        if not GetModelCostMap.validate_model_cost_map(
+            fetched_map=result.model_cost_map,
+            backup_model_count=backup_model_count,
+        ):
+            verbose_logger.warning(
+                "LiteLLM: Fetched model cost map failed integrity check. Keeping local backup. url=%s",
+                url,
+            )
+            _cost_map_source_info.fallback_reason = "Remote data failed integrity validation"
+            return
+        finalized_map: Final = _finalize_model_cost_map(result.model_cost_map)
+        _litellm_import_complete.wait()
+        apply(finalized_map)
+        _cost_map_source_info.source = "remote"
+        _cost_map_source_info.url = url
+        _cost_map_source_info.is_env_forced = False
+        _cost_map_source_info.fallback_reason = None
+        _cost_map_source_info.loaded_at = datetime.now(timezone.utc)
+    except Exception as e:
+        verbose_logger.warning("LiteLLM: Background model cost map retry failed: %s", e)
+
+
 def get_model_cost_map(
     url: str,
     timeout: int = 5,
@@ -471,14 +551,19 @@ def get_model_cost_map(
     sleep: Callable[[float], None] = time.sleep,
     rng: random.Random | None = None,
     client: "_SyncGetClient | None" = None,
+    start_background: Callable[[Callable[[], None]], None] = _start_daemon_thread,
+    apply: Callable[  # mutable-ok: injected callback receives the mutable cost-map dict
+        [dict],
+        object,
+    ] = adopt_model_cost_map,
 ) -> dict:
     """
     Public entry point — returns the model cost map dict.
 
     1. If ``LITELLM_LOCAL_MODEL_COST_MAP`` is set, uses the local backup only.
-    2. Otherwise fetches from ``url``, retrying transient HTTP errors
-       (429/5xx/transport) with Retry-After-aware backoff, validates
-       integrity, and falls back to the local backup on any failure.
+    2. Otherwise fetches from ``url``, validates the first response, and falls
+       back to the local backup while retrying transient HTTP errors in the
+       background.
 
     Only the backup model count is cached (a single int) for validation.
     The full backup dict is only parsed when it must be *returned* as a
@@ -497,14 +582,35 @@ def get_model_cost_map(
     _cost_map_source_info.url = url
     _cost_map_source_info.is_env_forced = False
 
-    result: Final = _fetch_remote_model_cost_map_with_retry_sync(
-        url=url,
-        timeout=timeout,
-        max_attempts=max_attempts,
-        sleep=sleep,
-        rng=rng if rng is not None else random.Random(),
-        client=client if client is not None else httpx,
-    )
+    fetch_client: Final = client if client is not None else httpx
+    fetch_rng: Final = rng if rng is not None else random.Random()
+    first_outcome: Final = _attempt_fetch_sync(client=fetch_client, url=url, timeout=timeout)
+    if isinstance(first_outcome, _FetchAttemptRetryable):
+        verbose_logger.warning(
+            "LiteLLM: model cost map fetch attempt 1/%d failed: %s; "
+            "using local backup while retrying in the background",
+            max_attempts,
+            first_outcome.reason,
+        )
+        _cost_map_source_info.source = "local"
+        _cost_map_source_info.fallback_reason = f"Remote fetch failed: {first_outcome.reason}"
+        local_map: Final = _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map())
+        if max_attempts > 1:
+            start_background(
+                lambda: _continue_remote_fetch_in_background(
+                    url=url,
+                    timeout=timeout,
+                    max_attempts=max_attempts,
+                    sleep=sleep,
+                    rng=fetch_rng,
+                    client=fetch_client,
+                    first_outcome=first_outcome,
+                    apply=apply,
+                )
+            )
+        return local_map
+
+    result: Final = first_outcome
     if isinstance(result, ModelCostMapReloadUnavailable):
         verbose_logger.warning(
             "LiteLLM: Failed to fetch remote model cost map from %s: %s. Falling back to local backup.",
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 1cd08fe27c0..efe38376353 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -132,11 +132,7 @@ from litellm.types.utils import (
     TextCompletionResponse,
     TokenCountResponse,
 )
-from litellm.utils import (
-    _invalidate_model_cost_lowercase_map,
-    load_credentials_from_list,
-    reapply_runtime_model_cost_registrations,
-)
+from litellm.utils import load_credentials_from_list
 
 if TYPE_CHECKING:
     from aiohttp import ClientSession
@@ -4411,20 +4407,9 @@ def resolve_classifier_plugin(
 
 
 def _swap_in_model_cost_map(new_model_cost_map: dict) -> int:
-    """Adopt a freshly fetched cost map into this process's litellm state, return the model count"""
-    litellm.model_cost = new_model_cost_map
-    # Invalidate case-insensitive lookup map since model_cost was replaced
-    _invalidate_model_cost_lowercase_map()
-    # Repopulate provider model sets (e.g. litellm.anthropic_models) so that
-    # wildcard patterns like "anthropic/*" include any newly added models.
-    litellm.add_known_models(model_cost_map=new_model_cost_map)
-    # Counted before the re-apply below, which writes into this same dict, so the
-    # number reported describes the fetched price data alone.
-    fetched_model_count: Final = len(new_model_cost_map) if new_model_cost_map else 0
-    # The swap discards everything registered at runtime (deployment model_info,
-    # register_model overrides), so put it back on top of the fresh catalog.
-    reapply_runtime_model_cost_registrations()
-    return fetched_model_count
+    from litellm.litellm_core_utils.get_model_cost_map import adopt_model_cost_map
+
+    return adopt_model_cost_map(new_model_cost_map)
 
 
 def should_load_db_object(object_type: str | SupportedDBObjectType) -> bool:
diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index 18185126775..dce1a431f13 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -20,21 +20,18 @@ from litellm.litellm_core_utils.get_model_cost_map import (
     GetModelCostMap,
     _count_model_entries,
     _finalize_model_cost_map,
+    adopt_model_cost_map,
 )
 
 
 def _load_root_cost_map() -> dict:
-    path = os.path.join(
-        os.path.dirname(__file__), "../../../model_prices_and_context_window.json"
-    )
+    path = os.path.join(os.path.dirname(__file__), "../../../model_prices_and_context_window.json")
     with open(path) as f:
         return json.load(f)
 
 
 def _make_models(n: int) -> dict:
-    return {
-        f"model-{i}": {"litellm_provider": "openai", "mode": "chat"} for i in range(n)
-    }
+    return {f"model-{i}": {"litellm_provider": "openai", "mode": "chat"} for i in range(n)}
 
 
 def test_count_model_entries_excludes_reserved_keys():
@@ -117,9 +114,7 @@ def test_finalize_pops_key_and_installs_rules():
 def test_finalize_with_no_block_clears_rules():
     previous = list(get_fallback_generalization_rules())
     try:
-        set_fallback_generalizations(
-            [{"name": "stale", "pattern": r"^x", "model_info": {"a": 1}}]
-        )
+        set_fallback_generalizations([{"name": "stale", "pattern": r"^x", "model_info": {"a": 1}}])
         _finalize_model_cost_map(_make_models(2))
         assert match_capability_generalizations("x-1") is None
     finally:
@@ -306,9 +301,7 @@ def test_get_model_cost_map_stamps_loaded_at(monkeypatch):
     from litellm.litellm_core_utils import get_model_cost_map as module
 
     monkeypatch.setattr(module._cost_map_source_info, "loaded_at", None)
-    client, _calls = _mock_client(
-        [httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client
-    )
+    client, _calls = _mock_client([httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client)
 
     before = datetime.now(timezone.utc)
     module.get_model_cost_map(url="https://example.invalid/cost_map.json", client=client)
@@ -317,6 +310,7 @@ def test_get_model_cost_map_stamps_loaded_at(monkeypatch):
     assert loaded_at is not None
     assert before <= loaded_at <= datetime.now(timezone.utc)
 
+
 # ---------------------------------------------------------------------------
 # refetch_model_cost_map: retry/backoff behavior for runtime reloads
 # ---------------------------------------------------------------------------
@@ -382,9 +376,7 @@ async def test_refetch_retries_429_honoring_retry_after():
         ]
     )
     sleeper = _SleepRecorder()
-    result = await refetch_model_cost_map(
-        url=_URL, sleep=sleeper, rng=random.Random(0), client=client
-    )
+    result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
     assert isinstance(result, ModelCostMapReloaded)
     assert len(result.model_cost_map) > 100
     assert calls["count"] == 3
@@ -396,9 +388,7 @@ async def test_refetch_gives_up_after_max_attempts_with_exponential_backoff():
     """All 429 without Retry-After: exponential backoff waits, then a failure value."""
     client, calls = _mock_client([httpx.Response(429)])
     sleeper = _SleepRecorder()
-    result = await refetch_model_cost_map(
-        url=_URL, sleep=sleeper, rng=random.Random(0), client=client
-    )
+    result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
     assert isinstance(result, ModelCostMapReloadUnavailable)
     assert "429" in result.reason
     assert "after 3 attempts" in result.reason
@@ -418,9 +408,7 @@ async def test_refetch_caps_retry_after_wait():
         ]
     )
     sleeper = _SleepRecorder()
-    result = await refetch_model_cost_map(
-        url=_URL, sleep=sleeper, rng=random.Random(0), client=client
-    )
+    result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
     assert isinstance(result, ModelCostMapReloaded)
     assert sleeper.waits == [30.0]
 
@@ -435,9 +423,7 @@ async def test_refetch_retries_transport_errors():
         ]
     )
     sleeper = _SleepRecorder()
-    result = await refetch_model_cost_map(
-        url=_URL, sleep=sleeper, rng=random.Random(0), client=client
-    )
+    result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
     assert isinstance(result, ModelCostMapReloaded)
     assert calls["count"] == 2
     assert len(sleeper.waits) == 1
@@ -448,9 +434,7 @@ async def test_refetch_non_retryable_status_fails_immediately():
     """A 404 is permanent: one attempt, no sleeps, failure value."""
     client, calls = _mock_client([httpx.Response(404)])
     sleeper = _SleepRecorder()
-    result = await refetch_model_cost_map(
-        url=_URL, sleep=sleeper, rng=random.Random(0), client=client
-    )
+    result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
     assert isinstance(result, ModelCostMapReloadUnavailable)
     assert "404" in result.reason
     assert calls["count"] == 1
@@ -461,9 +445,7 @@ async def test_refetch_non_retryable_status_fails_immediately():
 async def test_refetch_invalid_json_fails_immediately():
     client, calls = _mock_client([httpx.Response(200, content=b"not json")])
     sleeper = _SleepRecorder()
-    result = await refetch_model_cost_map(
-        url=_URL, sleep=sleeper, rng=random.Random(0), client=client
-    )
+    result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
     assert isinstance(result, ModelCostMapReloadUnavailable)
     assert "invalid JSON" in result.reason
     assert calls["count"] == 1
@@ -475,9 +457,7 @@ async def test_refetch_shrunk_map_fails_integrity_not_swapped_in():
     """A drastically shrunk upstream file is rejected instead of being adopted."""
     tiny = json.dumps(_make_models(60)).encode()
     client, _calls = _mock_client([httpx.Response(200, content=tiny)])
-    result = await refetch_model_cost_map(
-        url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client
-    )
+    result = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client)
     assert isinstance(result, ModelCostMapReloadUnavailable)
     assert "integrity validation" in result.reason
 
@@ -520,62 +500,187 @@ class _SyncSleepRecorder:
         self.waits.append(seconds)
 
 
-def test_boot_load_retries_transient_failures_instead_of_falling_back():
-    """A refused connection then a 503 at pod boot used to pin the process to the bundled
-    backup for its lifetime; both are transient and must be retried before giving up."""
+class _BackgroundRecorder:
+    def __init__(self):
+        self.callbacks = []
+
+    def __call__(self, callback):
+        self.callbacks.append(callback)
+
+
+def test_boot_load_returns_local_map_and_schedules_transient_retry():
+    client, calls = _mock_client(
+        [
+            httpx.ConnectError("connection refused"),
+        ],
+        client_cls=httpx.Client,
+    )
+    sleeper = _SyncSleepRecorder()
+    background = _BackgroundRecorder()
+
+    cost_map = get_model_cost_map(
+        url=_URL,
+        sleep=sleeper,
+        rng=random.Random(0),
+        client=client,
+        start_background=background,
+    )
+    assert calls["count"] == 1
+    assert sleeper.waits == []
+    assert len(background.callbacks) == 1
+    assert len(cost_map) > 100
+    source = get_model_cost_map_source_info()
+    assert source["source"] == "local"
+    assert source["fallback_reason"] is not None
+
+
+def test_background_retry_adopts_valid_remote_map():
     client, calls = _mock_client(
         [
             httpx.ConnectError("connection refused"),
-            httpx.Response(503),
             httpx.Response(200, content=_real_map_bytes()),
         ],
         client_cls=httpx.Client,
     )
     sleeper = _SyncSleepRecorder()
+    background = _BackgroundRecorder()
+    applied = []
 
-    cost_map = get_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
+    get_model_cost_map(
+        url=_URL,
+        sleep=sleeper,
+        rng=random.Random(0),
+        client=client,
+        start_background=background,
+        apply=applied.append,
+    )
+    assert calls["count"] == 1
+    assert sleeper.waits == []
+    assert len(background.callbacks) == 1
+
+    background.callbacks[0]()
+
+    assert calls["count"] == 2
+    assert len(sleeper.waits) == 1
+    assert 2.0 <= sleeper.waits[0] < 3.0
+    assert len(applied) == 1
+    assert applied[0].keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY}
+    source = get_model_cost_map_source_info()
+    assert source["source"] == "remote"
+    assert source["fallback_reason"] is None
+
+
+def test_background_retry_keeps_local_map_after_remaining_failures():
+    client, calls = _mock_client(
+        [httpx.ConnectError("connection refused"), httpx.Response(503)],
+        client_cls=httpx.Client,
+    )
+    sleeper = _SyncSleepRecorder()
+    background = _BackgroundRecorder()
+    applied = []
+
+    get_model_cost_map(
+        url=_URL,
+        sleep=sleeper,
+        rng=random.Random(0),
+        client=client,
+        start_background=background,
+        apply=applied.append,
+    )
+    background.callbacks[0]()
 
     assert calls["count"] == 3
     assert len(sleeper.waits) == 2
     assert 2.0 <= sleeper.waits[0] < 3.0
     assert 4.0 <= sleeper.waits[1] < 5.0
+    assert applied == []
+    assert get_model_cost_map_source_info()["source"] == "local"
+
+
+def test_boot_load_does_not_schedule_non_retryable_failure():
+    client, calls = _mock_client([httpx.Response(404)], client_cls=httpx.Client)
+    sleeper = _SyncSleepRecorder()
+    background = _BackgroundRecorder()
+
+    get_model_cost_map(
+        url=_URL,
+        sleep=sleeper,
+        rng=random.Random(0),
+        client=client,
+        start_background=background,
+    )
+
+    assert calls["count"] == 1
+    assert sleeper.waits == []
+    assert background.callbacks == []
     source = get_model_cost_map_source_info()
-    assert source["source"] == "remote"
-    assert source["fallback_reason"] is None
+    assert source["source"] == "local"
+    assert source["fallback_reason"] is not None
+
+
+def test_boot_load_success_does_not_schedule_background_retry():
+    client, calls = _mock_client([httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client)
+    sleeper = _SyncSleepRecorder()
+    background = _BackgroundRecorder()
+
+    cost_map = get_model_cost_map(
+        url=_URL,
+        sleep=sleeper,
+        rng=random.Random(0),
+        client=client,
+        start_background=background,
+    )
+    assert calls["count"] == 1
+    assert sleeper.waits == []
+    assert background.callbacks == []
+    assert get_model_cost_map_source_info()["source"] == "remote"
     assert cost_map.keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY}
 
 
-def test_boot_load_honors_retry_after_then_falls_back_after_max_attempts():
-    """An outage longer than the retry budget still ends on the bundled backup, and the
-    recorded fallback reason says how many attempts were spent so operators can tell."""
-    client, calls = _mock_client(
-        [httpx.Response(429, headers={"Retry-After": "7"})], client_cls=httpx.Client
+def test_boot_load_with_one_attempt_does_not_schedule_background_retry():
+    client, calls = _mock_client([httpx.ConnectError("connection refused")], client_cls=httpx.Client)
+    sleeper = _SyncSleepRecorder()
+    background = _BackgroundRecorder()
+
+    get_model_cost_map(
+        url=_URL,
+        max_attempts=1,
+        sleep=sleeper,
+        rng=random.Random(0),
+        client=client,
+        start_background=background,
     )
-    sleeper = _SyncSleepRecorder()
 
-    cost_map = get_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
-
-    assert calls["count"] == 3
-    assert sleeper.waits == [7.0, 7.0]
-    source = get_model_cost_map_source_info()
-    assert source["source"] == "local"
-    assert "after 3 attempts" in source["fallback_reason"]
-    assert len(cost_map) > 100
-
-
-def test_boot_load_does_not_retry_permanent_failures():
-    """A 404 or a malformed URL cannot heal by waiting: one attempt, no sleeps, backup."""
-    client, calls = _mock_client([httpx.Response(404)], client_cls=httpx.Client)
-    sleeper = _SyncSleepRecorder()
-
-    get_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client)
     assert calls["count"] == 1
     assert sleeper.waits == []
+    assert background.callbacks == []
     assert get_model_cost_map_source_info()["source"] == "local"
 
-    get_model_cost_map(url="not a url", sleep=sleeper, rng=random.Random(0))
-    assert sleeper.waits == []
-    assert get_model_cost_map_source_info()["source"] == "local"
+
+def test_adopt_model_cost_map_replays_runtime_registration_and_provider_models():
+    import litellm
+    from litellm import utils as litellm_utils
+
+    original_model_cost = litellm.model_cost
+    original_registry = dict(litellm_utils._runtime_registered_model_cost)
+    original_anthropic_models = set(litellm.anthropic_models)
+    try:
+        litellm.register_model(
+            model_cost={"custom/deployment-model": {"litellm_provider": "custom", "max_input_tokens": 4321}}
+        )
+
+        models_count = adopt_model_cost_map({"anthropic/new-model": {"litellm_provider": "anthropic", "mode": "chat"}})
+
+        assert models_count == 1
+        assert "anthropic/new-model" in litellm.anthropic_models
+        assert litellm.model_cost["custom/deployment-model"]["max_input_tokens"] == 4321
+    finally:
+        litellm.model_cost = original_model_cost  # test-quality-ok: restore the module state changed by adoption
+        litellm_utils._runtime_registered_model_cost.clear()
+        litellm_utils._runtime_registered_model_cost.update(original_registry)
+        litellm.anthropic_models.clear()
+        litellm.anthropic_models.update(original_anthropic_models)
+        litellm_utils._invalidate_model_cost_lowercase_map()
 
 
 def test_boot_load_respects_local_env_override(monkeypatch):

From ddedb4867b8cedea4ac2223dbc636f813e8bf997 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 19:09:44 -0700
Subject: [PATCH 181/223] fix: discard a streamed rewrite that drops or adds a
 tool call

A guardrail that removes or adds a tool call on an ended stream used to be
silently ignored: every handler substitutes the original list on a count
mismatch and the executor skipped its observer once the translation could
deliver rewrites. The executor now tracks the count change on the observer
and releases the original chunks with the discard warning on every
translation, matching what the merge base did for any tool call rewrite
---
 .../proxy/policy_engine/pipeline_executor.py  | 20 ++++--
 .../policy_engine/test_pipeline_executor.py   | 23 +++++-
 .../proxy_logging/test_guardrail_pipeline.py  | 71 +++++++++++++++++++
 3 files changed, 108 insertions(+), 6 deletions(-)

diff --git a/litellm/proxy/policy_engine/pipeline_executor.py b/litellm/proxy/policy_engine/pipeline_executor.py
index c870bd7d2ec..a51468cc0fb 100644
--- a/litellm/proxy/policy_engine/pipeline_executor.py
+++ b/litellm/proxy/policy_engine/pipeline_executor.py
@@ -78,6 +78,10 @@ def _rewrote(sent: tuple[object, ...] | None, returned: tuple[object, ...] | Non
     return sent is not None and returned is not None and returned != sent
 
 
+def _changed_count(sent: tuple[object, ...] | None, returned: tuple[object, ...] | None) -> bool:
+    return sent is not None and returned is not None and len(returned) != len(sent)
+
+
 _GuardrailMethodT = TypeVar("_GuardrailMethodT", bound=Callable[..., object])
 
 
@@ -91,8 +95,9 @@ class _StreamRewriteObserver(CustomGuardrail):
     guardrail. It records whether the guardrail returned different output than it was given,
     which for guardrails like Bedrock's ANONYMIZED action is only known at runtime. Text and
     tool-call rewrites are deliverable on translations that write them back across the
-    buffered chunks (``delivers_ended_stream_rewrites``); rewrites on any other translation
-    are discarded by the executor, which releases the original chunks.
+    buffered chunks (``delivers_ended_stream_rewrites``); rewrites on any other translation,
+    and a rewrite that drops or adds a tool call on any translation, are discarded by the
+    executor, which releases the original chunks.
     The inner guardrail's ``apply_guardrail`` already records the guardrail information
     and span, so the observer's stays out of ``log_guardrail_information``."""
 
@@ -101,6 +106,7 @@ class _StreamRewriteObserver(CustomGuardrail):
         self.inner: Final = inner
         self.rewrote_texts = False
         self.rewrote_tool_calls = False
+        self.changed_tool_call_count = False
 
     def structured_messages_cover_full_request(self) -> bool:
         return self.inner.structured_messages_cover_full_request()
@@ -118,9 +124,11 @@ class _StreamRewriteObserver(CustomGuardrail):
         outputs: Final = await self.inner.apply_guardrail(
             inputs=inputs, request_data=request_data, input_type=input_type, logging_obj=logging_obj
         )
+        returned_tool_shapes: Final = _tool_call_shapes(outputs.get("tool_calls"))
         self.rewrote_texts = self.rewrote_texts or _rewrote(sent_texts, _text_snapshot(outputs.get("texts")))
-        self.rewrote_tool_calls = self.rewrote_tool_calls or _rewrote(
-            sent_tool_shapes, _tool_call_shapes(outputs.get("tool_calls"))
+        self.rewrote_tool_calls = self.rewrote_tool_calls or _rewrote(sent_tool_shapes, returned_tool_shapes)
+        self.changed_tool_call_count = self.changed_tool_call_count or _changed_count(
+            sent_tool_shapes, returned_tool_shapes
         )
         return outputs
 
@@ -325,7 +333,9 @@ class PipelineExecutor:
         except UndeliverableStreamRewrite:
             _release_original_chunks(step.guardrail, streaming_chunks, originals)
         else:
-            if not deliver_rewrites and (observer.rewrote_texts or observer.rewrote_tool_calls):
+            if observer.changed_tool_call_count or (
+                not deliver_rewrites and (observer.rewrote_texts or observer.rewrote_tool_calls)
+            ):
                 _release_original_chunks(step.guardrail, streaming_chunks, originals)
         if not callback.records_own_guardrail_information:
             add_guardrail_to_applied_guardrails_header(request_data=hook_input, guardrail_name=step.guardrail)
diff --git a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
index 5d042d3c1ad..16401ccdaad 100644
--- a/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
+++ b/tests/test_litellm/proxy/policy_engine/test_pipeline_executor.py
@@ -1106,7 +1106,8 @@ class _WritingTranslation:
             logging_obj=litellm_logging_obj,
         )
         responses_so_far[0]["text"] = outputs["texts"][0]
-        responses_so_far[0]["tool_call"] = outputs["tool_calls"][0]
+        if len(outputs["tool_calls"]) == 1:
+            responses_so_far[0]["tool_call"] = outputs["tool_calls"][0]
         return responses_so_far
 
 
@@ -1242,6 +1243,26 @@ async def test_streaming_step_delivers_tool_call_rewrite_through_writing_transla
     assert not any("discarded" in record.getMessage() for record in caplog.records)
 
 
+class _ToolCallDroppingGuardrail(CustomGuardrail):
+    def __init__(self):
+        super().__init__(guardrail_name="masker", event_hook="post_call", default_on=True)
+
+    async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+        return {**inputs, "texts": ["hello [MASKED]"], "tool_calls": []}
+
+
+@pytest.mark.asyncio
+async def test_streaming_step_discards_whole_rewrite_when_guardrail_drops_a_tool_call(monkeypatch, caplog):
+    monkeypatch.setattr(litellm, "callbacks", [_ToolCallDroppingGuardrail()])
+    chunks = [_chunk()]
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        result = await _run_streaming_step(_WritingTranslation(), chunks)
+
+    _assert_passed_with_discard_warning(result, caplog)
+    assert chunks == [_chunk()]
+
+
 @pytest.mark.asyncio
 async def test_streaming_step_discards_tool_call_rewrite_when_translation_lacks_write_back(monkeypatch, caplog):
     monkeypatch.setattr(litellm, "callbacks", [_TextAndToolCallRewritingGuardrail(rewrite_tool_call=True)])
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 3b59bbac3fd..d46881d045b 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -2322,3 +2322,74 @@ async def test_streaming_iterator_hook_pipeline_delivers_function_call_rewrite_o
     assert delivered[4]["item"]["arguments"] == '{"fruit": "[MASKED]"}'
     assert delivered[5]["response"]["output"][0]["arguments"] == '{"fruit": "[MASKED]"}'
     assert "persimmon" not in json.dumps(delivered)
+
+
+def _drop_tool_calls(inputs: Dict[str, Any]) -> Dict[str, Any]:
+    return {"tool_calls": []}
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_discards_dropped_tool_call_on_chat_chunks(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
+):
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(_drop_tool_calls)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        delivered = [
+            item
+            async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+                user_api_key_dict=make_user_api_key_auth(request_route="/v1/chat/completions"),
+                response=_async_chunk_iter(_tool_call_stream_chunks()),
+                request_data=data,
+            )
+        ]
+
+    assert delivered[0].choices[0].delta.tool_calls[0].function.arguments == '{"ssn": "123"}'
+    assert delivered[1].choices[0].finish_reason == "tool_calls"
+    assert any("'gr-post'" in message and "discarded" in message for message in _warnings(caplog))
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_discards_dropped_tool_call_on_anthropic_sse(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
+):
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(_drop_tool_calls)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        delivered = [
+            item
+            async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+                user_api_key_dict=make_user_api_key_auth(request_route="/v1/messages"),
+                response=_async_chunk_iter(_anthropic_tool_use_sse_chunks()),
+                request_data=data,
+            )
+        ]
+
+    assert delivered == _anthropic_tool_use_sse_chunks()
+    assert any("'gr-post'" in message and "discarded" in message for message in _warnings(caplog))
+
+
+@pytest.mark.asyncio
+async def test_streaming_iterator_hook_pipeline_discards_dropped_tool_call_on_responses_events(
+    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
+):
+    monkeypatch.setattr(litellm, "callbacks", [_rewriting_stream_guardrail(_drop_tool_calls)])
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _post_call_pipeline_data(stream=True)
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        delivered = [
+            item
+            async for item in proxy_logging.async_post_call_streaming_iterator_hook(
+                user_api_key_dict=make_user_api_key_auth(request_route="/v1/responses"),
+                response=_async_chunk_iter(_responses_function_call_events()),
+                request_data=data,
+            )
+        ]
+
+    assert delivered == _responses_function_call_events()
+    assert any("'gr-post'" in message and "discarded" in message for message in _warnings(caplog))

From aa0a9ab3ea4dff53a22cbc60fbc0195c4ab6098c Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 02:29:56 +0000
Subject: [PATCH 182/223] refactor(cost-map): drop initial_outcome flag from
 retry loop

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../litellm_core_utils/get_model_cost_map.py  | 50 ++++++++++---------
 1 file changed, 26 insertions(+), 24 deletions(-)

diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index 90ff696f926..d9b5a492539 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -324,19 +324,14 @@ async def _fetch_remote_model_cost_map_with_retry(
 def _fetch_remote_model_cost_map_with_retry_sync(
     url: str,
     timeout: int,
-    max_attempts: int,
+    attempts: range,
     sleep: Callable[[float], None],
     rng: random.Random,
     client: _SyncGetClient,
-    starting_attempt: int = 1,
-    initial_outcome: _FetchAttemptRetryable | None = None,
 ) -> ModelCostMapReloadResult:
-    for attempt in range(starting_attempt, max_attempts + 1):
-        outcome = (
-            initial_outcome
-            if initial_outcome is not None and attempt == starting_attempt
-            else _attempt_fetch_sync(client=client, url=url, timeout=timeout)
-        )
+    max_attempts: Final = attempts.stop - 1
+    for attempt in attempts:
+        outcome = _attempt_fetch_sync(client=client, url=url, timeout=timeout)
         if not isinstance(outcome, _FetchAttemptRetryable):
             return outcome
         wait_seconds = _next_retry_wait(outcome=outcome, attempt=attempt, max_attempts=max_attempts, rng=rng)
@@ -557,18 +552,18 @@ def _continue_remote_fetch_in_background(
     sleep: Callable[[float], None],
     rng: random.Random,
     client: _SyncGetClient,
-    first_outcome: _FetchAttemptRetryable,
+    first_wait: float,
     apply: Callable[[dict], object],  # mutable-ok: injected callback receives the mutable cost-map dict
 ) -> None:
     try:
+        sleep(first_wait)
         result: Final = _fetch_remote_model_cost_map_with_retry_sync(
             url=url,
             timeout=timeout,
-            max_attempts=max_attempts,
+            attempts=range(2, max_attempts + 1),
             sleep=sleep,
             rng=rng,
             client=client,
-            initial_outcome=first_outcome,
         )
         if isinstance(result, ModelCostMapReloadUnavailable):
             verbose_logger.warning(
@@ -652,19 +647,26 @@ def get_model_cost_map(
         local_map: Final = _finalize_loaded_model_cost_map(
             GetModelCostMap.load_local_model_cost_map_with_revision()
         ).model_cost_map
-        if max_attempts > 1:
-            start_background(
-                lambda: _continue_remote_fetch_in_background(
-                    url=url,
-                    timeout=timeout,
-                    max_attempts=max_attempts,
-                    sleep=sleep,
-                    rng=fetch_rng,
-                    client=fetch_client,
-                    first_outcome=first_outcome,
-                    apply=apply,
-                )
+        first_wait: Final = _next_retry_wait(
+            outcome=first_outcome,
+            attempt=1,
+            max_attempts=max_attempts,
+            rng=fetch_rng,
+        )
+        if isinstance(first_wait, ModelCostMapReloadUnavailable):
+            return local_map
+        start_background(
+            lambda: _continue_remote_fetch_in_background(
+                url=url,
+                timeout=timeout,
+                max_attempts=max_attempts,
+                sleep=sleep,
+                rng=fetch_rng,
+                client=fetch_client,
+                first_wait=first_wait,
+                apply=apply,
             )
+        )
         return local_map
 
     result: Final = first_outcome

From 536a85b42967fd0c9c6b49d2df9298232034427a Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 02:48:17 +0000
Subject: [PATCH 183/223] fix(cost-map): keep register_model url fetch to a
 single attempt

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/utils.py                 |  2 +-
 tests/test_litellm/test_utils.py | 23 +++++++++++++++++++++++
 2 files changed, 24 insertions(+), 1 deletion(-)

diff --git a/litellm/utils.py b/litellm/utils.py
index 36b48d3b8d8..8df28870544 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -3079,7 +3079,7 @@ def register_model(
         # Convert stringified numbers to appropriate numeric types
         loaded_model_cost = model_cost
     elif isinstance(model_cost, str):
-        loaded_model_cost = litellm.get_model_cost_map(url=model_cost)
+        loaded_model_cost = litellm.get_model_cost_map(url=model_cost, max_attempts=1)
 
     if persist_across_reloads:
         _registrations: Final[Mapping[str, Mapping[str, object]]] = loaded_model_cost
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index fee5e3a2e4c..e90372141bd 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -2,10 +2,12 @@ import asyncio
 import json
 import logging
 import os
+import threading
 from datetime import datetime, timedelta, timezone
 from typing import Final
 from unittest.mock import AsyncMock, MagicMock, patch
 
+import httpx
 import pytest
 import respx
 from jsonschema import validate
@@ -2382,6 +2384,27 @@ def test_register_model_with_scientific_notation():
     _invalidate_model_cost_lowercase_map()
 
 
+@respx.mock
+def test_register_model_url_fetch_uses_single_attempt(monkeypatch):
+    monkeypatch.setattr(litellm, "model_cost", dict(litellm.model_cost))
+    before = dict(litellm.model_cost)
+    threads_before = {thread.name for thread in threading.enumerate()}
+    route = respx.get("https://example.invalid/custom_pricing.json").mock(
+        return_value=httpx.Response(503)
+    )
+
+    litellm.register_model(model_cost="https://example.invalid/custom_pricing.json")
+
+    threads_after = {thread.name for thread in threading.enumerate()}
+    assert route.call_count == 1
+    assert not (threads_after - threads_before) & {"litellm-model-cost-map-retry"}
+    assert not any(
+        thread.name == "litellm-model-cost-map-retry" and thread.is_alive()
+        for thread in threading.enumerate()
+    )
+    assert litellm.model_cost.keys() >= before.keys()
+
+
 def test_register_model_openrouter_without_slash():
     """
     Test that register_model handles openrouter models without '/' in the name.

From 902dd7b2b6c61b282d3dafb6aee92607f53ecc81 Mon Sep 17 00:00:00 2001
From: tin-berri <tin@berri.ai>
Date: Tue, 8 Sep 2026 19:56:21 -0700
Subject: [PATCH 184/223] fix(mcp): log proxy tool dispatch exceptions (#40351)

---
 .../proxy/_experimental/mcp_server/server.py  | 51 ++++++++++----
 tests/mcp_tests/test_proxy_mcp_e2e.py         | 30 ++++++++
 .../mcp_server/test_mcp_proxy_mode.py         | 70 ++++++++++++++++++-
 3 files changed, 138 insertions(+), 13 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 30793ef246d..9a52da0cab1 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -1017,18 +1017,45 @@ if MCP_AVAILABLE:
                 if name == MCP_PROXY_CALL_TOOL_NAME
                 else None
             )
-            proxy_result: Final = await handle_mcp_proxy_tool(
-                name=name,
-                arguments=arguments or {},  # mutable-ok: proxy handler payload
-                user_api_key_dict=user_api_key_auth,
-                client_ip=client_ip,
-                mcp_servers=mcp_servers,
-                mcp_auth_header=mcp_auth_header,
-                mcp_server_auth_headers=mcp_server_auth_headers,
-                oauth2_headers=oauth2_headers,
-                raw_headers=raw_headers,
-                litellm_logging_obj=proxy_logging_obj,
-            )
+            try:
+                proxy_result: Final = await handle_mcp_proxy_tool(
+                    name=name,
+                    arguments=arguments or {},  # mutable-ok: proxy handler payload
+                    user_api_key_dict=user_api_key_auth,
+                    client_ip=client_ip,
+                    mcp_servers=mcp_servers,
+                    mcp_auth_header=mcp_auth_header,
+                    mcp_server_auth_headers=mcp_server_auth_headers,
+                    oauth2_headers=oauth2_headers,
+                    raw_headers=raw_headers,
+                    litellm_logging_obj=proxy_logging_obj,
+                )
+            except Exception as exc:
+                if proxy_logging_obj is not None:
+                    from litellm.proxy.proxy_server import proxy_logging_obj as request_logging_obj
+
+                    failure_end: Final = datetime.now()  # noqa: DTZ005  # matches the logging pipeline start time
+                    failure_traceback: Final = traceback.format_exc(limit=MAXIMUM_TRACEBACK_LINES_TO_LOG)
+                    try:
+                        proxy_logging_obj.failure_handler(exc, failure_traceback, proxy_call_start, failure_end)
+                        await proxy_logging_obj.async_failure_handler(
+                            exc, failure_traceback, proxy_call_start, failure_end
+                        )
+                        if not isinstance(exc, MCPUpstreamAuthError):
+                            await request_logging_obj.post_call_failure_hook(
+                                request_data={  # mutable-ok: failure hook mutates its request payload
+                                    "name": name,
+                                    "arguments": arguments,
+                                    "litellm_logging_obj": proxy_logging_obj,
+                                },
+                                original_exception=exc,
+                                user_api_key_dict=user_api_key_auth,
+                                route="/mcp/call_tool",
+                                traceback_str=failure_traceback,
+                            )
+                    except Exception:
+                        verbose_logger.exception("Error logging failed MCP proxy tool call")
+                raise
             if proxy_logging_obj is not None:
                 return await _fire_mcp_tool_call_logging(
                     logging_obj=proxy_logging_obj,
diff --git a/tests/mcp_tests/test_proxy_mcp_e2e.py b/tests/mcp_tests/test_proxy_mcp_e2e.py
index 5e5b9db2dc6..f0fc3d892e2 100644
--- a/tests/mcp_tests/test_proxy_mcp_e2e.py
+++ b/tests/mcp_tests/test_proxy_mcp_e2e.py
@@ -471,6 +471,7 @@ class ProxyCallRecorder(CustomLogger):
     def __init__(self) -> None:
         super().__init__()
         self.events: queue.Queue[str] = queue.Queue()
+        self.failures: queue.Queue[str] = queue.Queue()
 
     async def async_log_success_event(
         self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime
@@ -479,6 +480,13 @@ class ProxyCallRecorder(CustomLogger):
         if isinstance(payload, dict) and payload.get("call_type") == "call_mcp_tool":
             self.events.put(json.dumps(payload, default=str))
 
+    async def async_log_failure_event(
+        self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime
+    ) -> None:
+        payload = kwargs.get("standard_logging_object")
+        if isinstance(payload, dict) and payload.get("call_type") == "call_mcp_tool":
+            self.failures.put(json.dumps(payload, default=str))
+
 
 proxy_call_recorder = ProxyCallRecorder()
 
@@ -636,6 +644,28 @@ class TestProxyMcpAuthorizationScope:
             assert payload["metadata"]["mcp_tool_call_metadata"]["name"] == "add"
             assert payload["metadata"]["mcp_tool_call_metadata"]["namespaced_tool_name"] == "math_restricted/add"
 
+    @pytest.mark.asyncio
+    async def test_proxy_scope_exception_returns_iserror_and_emits_failure_log(self, proxy_server_url: str) -> None:
+        async with _scoped_session(
+            proxy_server_url,
+            "sk-none",
+            **{"x-mcp-servers": "math_restricted", "x-litellm-call-id": "proxy-scope-denial"},
+        ) as session:
+            result = await session.call_tool("call_tool", {"tool_id": "denied-scope", "arguments": {}})
+            assert result.isError is True
+            assert result.content[0].text == (
+                "Error: The key is not allowed to access the requested MCP servers: math_restricted"
+            )
+            async with asyncio.timeout(10):
+                while True:
+                    payload = json.loads(await asyncio.to_thread(proxy_call_recorder.failures.get, True, 5))
+                    if payload["id"] == "proxy-scope-denial":
+                        break
+            assert payload["call_type"] == "call_mcp_tool"
+            assert payload["status"] == "failure"
+            assert payload["response_cost"] == 0
+            assert "math_restricted" in payload["error_str"]
+
     @pytest.mark.parametrize("arguments", ["wrong", False, None, [], 0])
     def test_handler_rejects_non_object_arguments(
         self, proxy_server_url: str, _proxy_server: ProxyRig, arguments: object
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
index 29711f80deb..67b7c5a3414 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py
@@ -1,10 +1,16 @@
+import json
+from datetime import datetime
+
 import pytest
+from fastapi import HTTPException
 from mcp.shared.exceptions import McpError
 from pydantic import AnyUrl
 
+import litellm
+from litellm.integrations.custom_logger import CustomLogger
 from litellm.proxy._experimental.mcp_server import server
 from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode
-from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy._types import LiteLLM_ObjectPermissionTable, UserAPIKeyAuth
 
 AUTH = UserAPIKeyAuth(api_key="key")
 
@@ -48,3 +54,65 @@ async def test_proxy_rejects_non_tool_protocol_operations() -> None:
         await server.list_resource_templates()
     with pytest.raises(McpError):
         await server.read_resource(AnyUrl("https://example.com/resource"))
+
+
+class FailureRecorder(CustomLogger):
+    def __init__(self) -> None:
+        super().__init__()
+        self.events: list[tuple[str, str]] = []
+
+    async def async_log_failure_event(
+        self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime
+    ) -> None:
+        self.events.append(("failure", json.dumps(kwargs.get("standard_logging_object"), default=str)))
+
+    async def async_log_success_event(
+        self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime
+    ) -> None:
+        self.events.append(("success", json.dumps(kwargs.get("standard_logging_object"), default=str)))
+
+    async def async_post_call_failure_hook(
+        self,
+        request_data: dict[str, object],
+        original_exception: Exception,
+        user_api_key_dict: UserAPIKeyAuth,
+        traceback_str: str | None = None,
+    ) -> None:
+        self.events.append(("post_failure", json.dumps(request_data, default=str)))
+
+
+@pytest.mark.asyncio
+@pytest.mark.usefixtures("proxy_mode")
+async def test_proxy_scope_exception_emits_failure_log(monkeypatch: pytest.MonkeyPatch) -> None:
+    recorder = FailureRecorder()
+    monkeypatch.setattr(litellm, "callbacks", [recorder])
+    auth = UserAPIKeyAuth(
+        api_key="scope-denial-key-hash",
+        object_permission=LiteLLM_ObjectPermissionTable(object_permission_id="denied", mcp_servers=["no-mcp-servers"]),
+    )
+    arguments = {"tool_id": "denied-scope", "arguments": {}}
+
+    with pytest.raises(HTTPException) as denied:
+        await server._dispatch_virtual_mcp_tool(
+            name="call_tool",
+            arguments=arguments,
+            user_api_key_auth=auth,
+            client_ip=None,
+            mcp_servers=["ungranted"],
+            raw_headers={"authorization": "Bearer raw-scope-secret", "x-litellm-call-id": "scope-denial"},
+        )
+
+    assert denied.value.status_code == 403
+    assert denied.value.detail == {"error": "The key is not allowed to access the requested MCP servers: ungranted"}
+    assert [kind for kind, _ in recorder.events] == ["failure", "post_failure"]
+    payload = json.loads(recorder.events[0][1])
+    assert payload["id"] == "scope-denial"
+    assert payload["call_type"] == "call_mcp_tool"
+    assert payload["status"] == "failure"
+    assert payload["response_cost"] == 0
+    assert "ungranted" in payload["error_str"]
+    hook_payload = json.loads(recorder.events[1][1])
+    assert hook_payload["standard_logging_object"] == payload
+    assert hook_payload["arguments"] == arguments
+    assert "raw_headers" not in hook_payload
+    assert "raw-scope-secret" not in recorder.events[1][1]

From 4179f086e0196107dfc83da2a4e0bb1d15568edd Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 02:58:51 +0000
Subject: [PATCH 185/223] refactor(cost-map): share local-fallback and
 remote-accept paths

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../litellm_core_utils/get_model_cost_map.py  | 111 ++++++++----------
 1 file changed, 47 insertions(+), 64 deletions(-)

diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index d9b5a492539..67d06a0758e 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -531,6 +531,32 @@ def _finalize_loaded_model_cost_map(loaded: ModelCostMapReloaded) -> ModelCostMa
     return replace(loaded, model_cost_map=_finalize_model_cost_map(loaded.model_cost_map))
 
 
+def _use_local_backup(reason: str | None) -> dict:  # mutable-ok: returns the mutable model-cost map contract
+    _cost_map_source_info.source = "local"
+    _cost_map_source_info.fallback_reason = reason
+    return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
+
+
+def _accept_remote(
+    result: ModelCostMapReloaded, url: str
+) -> dict | None:  # mutable-ok: returns the mutable model-cost map contract
+    if not GetModelCostMap.validate_model_cost_map(
+        fetched_map=result.model_cost_map,
+        backup_model_count=GetModelCostMap._get_backup_model_count(),  # pyright: ignore[reportPrivateUsage]  # integrity cache
+    ):
+        verbose_logger.warning(
+            "LiteLLM: Fetched model cost map failed integrity check. Using local backup instead. url=%s",
+            url,
+        )
+        return None
+    finalized: Final = _finalize_loaded_model_cost_map(result).model_cost_map
+    _cost_map_source_info.source = "remote"
+    _cost_map_source_info.url = url
+    _cost_map_source_info.is_env_forced = False
+    _cost_map_source_info.fallback_reason = None
+    return finalized
+
+
 def adopt_model_cost_map(
     new_model_cost_map: dict,  # mutable-ok: public API preserves the mutable cost-map contract
 ) -> int:
@@ -545,17 +571,20 @@ def adopt_model_cost_map(
     return fetched_model_count
 
 
-def _continue_remote_fetch_in_background(
+def _retry_remote_fetch_in_background(
     url: str,
     timeout: int,
     max_attempts: int,
     sleep: Callable[[float], None],
     rng: random.Random,
     client: _SyncGetClient,
-    first_wait: float,
+    first_outcome: _FetchAttemptRetryable,
     apply: Callable[[dict], object],  # mutable-ok: injected callback receives the mutable cost-map dict
 ) -> None:
     try:
+        first_wait: Final = _next_retry_wait(outcome=first_outcome, attempt=1, max_attempts=max_attempts, rng=rng)
+        if isinstance(first_wait, ModelCostMapReloadUnavailable):
+            return
         sleep(first_wait)
         result: Final = _fetch_remote_model_cost_map_with_retry_sync(
             url=url,
@@ -572,23 +601,12 @@ def _continue_remote_fetch_in_background(
                 max_attempts,
             )
             return
-        backup_model_count: Final = GetModelCostMap._get_backup_model_count()  # pyright: ignore[reportPrivateUsage]  # integrity cache
-        if not GetModelCostMap.validate_model_cost_map(
-            fetched_map=result.model_cost_map,
-            backup_model_count=backup_model_count,
-        ):
-            verbose_logger.warning(
-                "LiteLLM: Fetched model cost map failed integrity check. Keeping local backup. url=%s",
-                url,
-            )
+        _litellm_import_complete.wait()
+        accepted: Final = _accept_remote(result, url)
+        if accepted is None:
             _cost_map_source_info.fallback_reason = "Remote data failed integrity validation"
             return
-        _litellm_import_complete.wait()
-        apply(_finalize_loaded_model_cost_map(result).model_cost_map)
-        _cost_map_source_info.source = "remote"
-        _cost_map_source_info.url = url
-        _cost_map_source_info.is_env_forced = False
-        _cost_map_source_info.fallback_reason = None
+        apply(accepted)
         _cost_map_source_info.loaded_at = datetime.now(timezone.utc)
     except Exception as e:
         verbose_logger.warning("LiteLLM: Background model cost map retry failed: %s", e)
@@ -623,77 +641,42 @@ def get_model_cost_map(
     # Note: can't use get_secret_bool here — this runs during litellm.__init__
     # before litellm._key_management_settings is set.
     if os.getenv("LITELLM_LOCAL_MODEL_COST_MAP", "").lower() == "true":
-        _cost_map_source_info.source = "local"
         _cost_map_source_info.url = None
         _cost_map_source_info.is_env_forced = True
-        _cost_map_source_info.fallback_reason = None
-        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
+        return _use_local_backup(None)
 
     _cost_map_source_info.url = url
     _cost_map_source_info.is_env_forced = False
 
     fetch_client: Final = client if client is not None else httpx
     fetch_rng: Final = rng if rng is not None else random.Random()
-    first_outcome: Final = _attempt_fetch_sync(client=fetch_client, url=url, timeout=timeout)
-    if isinstance(first_outcome, _FetchAttemptRetryable):
+    outcome: Final = _attempt_fetch_sync(client=fetch_client, url=url, timeout=timeout)
+    if isinstance(outcome, ModelCostMapReloaded):
+        accepted: Final = _accept_remote(outcome, url)
+        return accepted if accepted is not None else _use_local_backup("Remote data failed integrity validation")
+    if isinstance(outcome, _FetchAttemptRetryable) and max_attempts > 1:
         verbose_logger.warning(
             "LiteLLM: model cost map fetch attempt 1/%d failed: %s; "
             "using local backup while retrying in the background",
             max_attempts,
-            first_outcome.reason,
+            outcome.reason,
         )
-        _cost_map_source_info.source = "local"
-        _cost_map_source_info.fallback_reason = f"Remote fetch failed: {first_outcome.reason}"
-        local_map: Final = _finalize_loaded_model_cost_map(
-            GetModelCostMap.load_local_model_cost_map_with_revision()
-        ).model_cost_map
-        first_wait: Final = _next_retry_wait(
-            outcome=first_outcome,
-            attempt=1,
-            max_attempts=max_attempts,
-            rng=fetch_rng,
-        )
-        if isinstance(first_wait, ModelCostMapReloadUnavailable):
-            return local_map
         start_background(
-            lambda: _continue_remote_fetch_in_background(
+            lambda: _retry_remote_fetch_in_background(
                 url=url,
                 timeout=timeout,
                 max_attempts=max_attempts,
                 sleep=sleep,
                 rng=fetch_rng,
                 client=fetch_client,
-                first_wait=first_wait,
+                first_outcome=outcome,
                 apply=apply,
             )
         )
-        return local_map
-
-    result: Final = first_outcome
-    if isinstance(result, ModelCostMapReloadUnavailable):
+    else:
         verbose_logger.warning(
             "LiteLLM: Failed to fetch remote model cost map from %s: %s. Falling back to local backup.",
             url,
-            result.reason,
+            outcome.reason,
         )
-        _cost_map_source_info.source = "local"
-        _cost_map_source_info.fallback_reason = f"Remote fetch failed: {result.reason}"
-        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
-    content: Final = result.model_cost_map
-
-    # Validate using cached count (cheap int comparison, no file I/O)
-    if not GetModelCostMap.validate_model_cost_map(
-        fetched_map=content,
-        backup_model_count=GetModelCostMap._get_backup_model_count(),
-    ):
-        verbose_logger.warning(
-            "LiteLLM: Fetched model cost map failed integrity check. Using local backup instead. url=%s",
-            url,
-        )
-        _cost_map_source_info.source = "local"
-        _cost_map_source_info.fallback_reason = "Remote data failed integrity validation"
-        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
-
-    _cost_map_source_info.source = "remote"
-    _cost_map_source_info.fallback_reason = None
-    return _finalize_loaded_model_cost_map(result).model_cost_map
+    return _use_local_backup(f"Remote fetch failed: {outcome.reason}")

From 94f9230d13900897f764498169bdfa3c5fa2a4ea Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 19:59:09 -0700
Subject: [PATCH 186/223] fix(proxy): type the new pipeline tests and keep tag
 values out of the deferral warning

Every test this PR adds now annotates its fixture and parametrize
parameters. The submit-time warning for a tag-matched deferred policy
names only the policies, since a wildcard attachment pattern would let
caller-provided tag text reach the log.
---
 litellm/proxy/utils.py                        |   6 +-
 .../policy_engine/test_response_retrieval.py  |  42 ++--
 .../proxy_logging/test_guardrail_pipeline.py  | 216 ++++++++++--------
 3 files changed, 155 insertions(+), 109 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index d144aa113d6..1604dea1003 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -620,19 +620,19 @@ def _defer_post_call_pipelines(
             "retrieval re-matches only the key, team, and model scopes, so a tag carried in the request body "
             "does not govern the completed response: %s",
             response.id,
-            ", ".join(f"{policy_name} ({source})" for policy_name, source in tag_matched),
+            ", ".join(tag_matched),
         )
     _withdraw_deferred_claims(data, deferred)
 
 
 def _tag_matched_deferrals(
     data: Mapping[str, object], deferred: Sequence[tuple[str, "GuardrailPipeline"]]
-) -> tuple[tuple[str, str], ...]:
+) -> tuple[str, ...]:
     sources: Final = _policy_state_metadata(data).get("policy_sources")
     if not isinstance(sources, dict):
         return ()
     return tuple(
-        (policy_name, str(sources[policy_name]))
+        policy_name
         for policy_name, _pipeline in deferred
         if policy_name in sources and "tag:" in str(sources[policy_name])
     )
diff --git a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
index 1fa1161191d..37849101b3a 100644
--- a/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
+++ b/tests/test_litellm/proxy/policy_engine/test_response_retrieval.py
@@ -1,5 +1,5 @@
 import logging
-from collections.abc import Mapping
+from collections.abc import Iterator, Mapping
 
 import pytest
 
@@ -60,7 +60,7 @@ def _pipeline_policy(guardrail: str, mode: str = "post_call") -> dict[str, objec
 
 
 @pytest.fixture
-def policy_engine():
+def policy_engine() -> Iterator[None]:
     policy_registry = get_policy_registry()
     attachment_registry = get_attachment_registry()
     policy_registry.load_policies(
@@ -97,7 +97,7 @@ def _attached_pipelines(data: Mapping[str, object]) -> tuple[tuple[str, str], ..
     )
 
 
-def test_attaches_model_scoped_post_call_pipeline_to_retrieval(policy_engine):
+def test_attaches_model_scoped_post_call_pipeline_to_retrieval(policy_engine: None) -> None:
     data = _retrieval_data(GOVERNED_MODEL_ID)
 
     attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
@@ -111,7 +111,7 @@ def test_attaches_model_scoped_post_call_pipeline_to_retrieval(policy_engine):
     assert "guardrails" not in data["litellm_metadata"]
 
 
-def test_key_and_team_context_also_governs_retrieval(policy_engine):
+def test_key_and_team_context_also_governs_retrieval(policy_engine: None) -> None:
     data = _retrieval_data(UNGOVERNED_MODEL_ID)
 
     attach_post_call_pipelines_to_retrieval(
@@ -121,7 +121,7 @@ def test_key_and_team_context_also_governs_retrieval(policy_engine):
     assert _attached_pipelines(data) == (("team-governance", "team-word-filter"),)
 
 
-def test_tag_attached_policy_is_not_re_matched_when_the_retrieval_carries_no_tag(policy_engine):
+def test_tag_attached_policy_is_not_re_matched_when_the_retrieval_carries_no_tag(policy_engine: None) -> None:
     data = _retrieval_data(GOVERNED_MODEL_ID)
 
     attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
@@ -129,7 +129,7 @@ def test_tag_attached_policy_is_not_re_matched_when_the_retrieval_carries_no_tag
     assert _attached_pipelines(data) == (("response-governance", "output-word-filter"),)
 
 
-def test_tag_attached_policy_governs_a_retrieval_whose_metadata_carries_the_tag(policy_engine):
+def test_tag_attached_policy_governs_a_retrieval_whose_metadata_carries_the_tag(policy_engine: None) -> None:
     data: dict[str, object] = {
         "response_id": _encoded_response_id(UNGOVERNED_MODEL_ID),
         "litellm_metadata": {"tags": ["governed"]},
@@ -141,7 +141,7 @@ def test_tag_attached_policy_governs_a_retrieval_whose_metadata_carries_the_tag(
     assert data["litellm_metadata"]["policy_sources"] == {"tag-governance": "tag:governed"}
 
 
-def test_retrieval_of_an_ungoverned_model_attaches_nothing(policy_engine):
+def test_retrieval_of_an_ungoverned_model_attaches_nothing(policy_engine: None) -> None:
     data = _retrieval_data(UNGOVERNED_MODEL_ID)
 
     attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=_router())
@@ -149,7 +149,7 @@ def test_retrieval_of_an_ungoverned_model_attaches_nothing(policy_engine):
     assert data == _retrieval_data(UNGOVERNED_MODEL_ID)
 
 
-def test_already_attached_policy_is_not_attached_twice(policy_engine):
+def test_already_attached_policy_is_not_attached_twice(policy_engine: None) -> None:
     data = _retrieval_data(GOVERNED_MODEL_ID)
     router = _router()
     attach_post_call_pipelines_to_retrieval(data=data, user_api_key_dict=UserAPIKeyAuth(), llm_router=router)
@@ -168,7 +168,9 @@ def _hidden_submit_model_warnings(caplog: pytest.LogCaptureFixture) -> list[str]
     ]
 
 
-def test_wildcard_deployment_attaches_nothing_for_the_submitted_model_and_warns(policy_engine, caplog):
+def test_wildcard_deployment_attaches_nothing_for_the_submitted_model_and_warns(
+    policy_engine: None, caplog: pytest.LogCaptureFixture
+) -> None:
     data = _retrieval_data(WILDCARD_MODEL_ID)
 
     with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
@@ -176,11 +178,14 @@ def test_wildcard_deployment_attaches_nothing_for_the_submitted_model_and_warns(
 
     assert data == _retrieval_data(WILDCARD_MODEL_ID)
     assert [
-        "as model group openai/* (a wildcard deployment)" in message for message in _hidden_submit_model_warnings(caplog)
+        "as model group openai/* (a wildcard deployment)" in message
+        for message in _hidden_submit_model_warnings(caplog)
     ] == [True]
 
 
-def test_aliased_model_group_still_attaches_its_own_policies_and_warns(policy_engine, caplog):
+def test_aliased_model_group_still_attaches_its_own_policies_and_warns(
+    policy_engine: None, caplog: pytest.LogCaptureFixture
+) -> None:
     data = _retrieval_data(GOVERNED_MODEL_ID)
     router = _router({"gpt-mini": GOVERNED_MODEL_GROUP, "gpt-hidden": {"model": GOVERNED_MODEL_GROUP, "hidden": True}})
 
@@ -194,7 +199,9 @@ def test_aliased_model_group_still_attaches_its_own_policies_and_warns(policy_en
     ] == [True]
 
 
-def test_plain_model_group_retrieval_does_not_warn_about_the_submitted_model(policy_engine, caplog):
+def test_plain_model_group_retrieval_does_not_warn_about_the_submitted_model(
+    policy_engine: None, caplog: pytest.LogCaptureFixture
+) -> None:
     with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
         attach_post_call_pipelines_to_retrieval(
             data=_retrieval_data(GOVERNED_MODEL_ID),
@@ -209,7 +216,8 @@ def _ungoverned_retrieval_warnings(caplog: pytest.LogCaptureFixture) -> list[str
     return [
         record.getMessage()
         for record in caplog.records
-        if record.levelno == logging.WARNING and "retrieved without its post_call policy pipelines" in record.getMessage()
+        if record.levelno == logging.WARNING
+        and "retrieved without its post_call policy pipelines" in record.getMessage()
     ]
 
 
@@ -221,7 +229,9 @@ def _ungoverned_retrieval_warnings(caplog: pytest.LogCaptureFixture) -> list[str
         (None, "response id names no deployment"),
     ],
 )
-def test_unresolvable_response_id_attaches_nothing_and_warns(policy_engine, caplog, response_id, reason):
+def test_unresolvable_response_id_attaches_nothing_and_warns(
+    policy_engine: None, caplog: pytest.LogCaptureFixture, response_id: str, reason: str
+) -> None:
     data = {"response_id": response_id, "litellm_metadata": {}}
 
     with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
@@ -231,7 +241,7 @@ def test_unresolvable_response_id_attaches_nothing_and_warns(policy_engine, capl
     assert [message.endswith(f"({reason})") for message in _ungoverned_retrieval_warnings(caplog)] == [True]
 
 
-def test_without_a_router_attaches_nothing_and_warns(policy_engine, caplog):
+def test_without_a_router_attaches_nothing_and_warns(policy_engine: None, caplog: pytest.LogCaptureFixture) -> None:
     data = _retrieval_data(GOVERNED_MODEL_ID)
 
     with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
@@ -241,7 +251,7 @@ def test_without_a_router_attaches_nothing_and_warns(policy_engine, caplog):
     assert [message.endswith("(no router)") for message in _ungoverned_retrieval_warnings(caplog)] == [True]
 
 
-def test_without_policy_engine_attaches_nothing_quietly(caplog):
+def test_without_policy_engine_attaches_nothing_quietly(caplog: pytest.LogCaptureFixture) -> None:
     get_policy_registry().clear()
     data = _retrieval_data(GOVERNED_MODEL_ID)
 
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 63afce5d968..3bbdbbe2ccd 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -12,6 +12,7 @@ from __future__ import annotations
 import asyncio
 import json
 import logging
+from collections.abc import Iterator
 from typing import Any, Callable, Dict, List
 from unittest.mock import AsyncMock, MagicMock, patch
 
@@ -155,9 +156,7 @@ async def test_execute_guardrail_hook_unknown_hook_type_raises(proxy_logging, ma
 
 
 @pytest.mark.asyncio
-async def test_execute_guardrail_with_load_balancing_routes_through_router(
-    proxy_logging, make_user_api_key_auth
-):
+async def test_execute_guardrail_with_load_balancing_routes_through_router(proxy_logging, make_user_api_key_auth):
     cb = _make_guardrail()
     router = MagicMock()
     router.get_available_guardrail = MagicMock(return_value={"callback": cb})
@@ -173,9 +172,7 @@ async def test_execute_guardrail_with_load_balancing_routes_through_router(
 
 
 @pytest.mark.asyncio
-async def test_execute_guardrail_with_load_balancing_router_none_raises(
-    proxy_logging, make_user_api_key_auth
-):
+async def test_execute_guardrail_with_load_balancing_router_none_raises(proxy_logging, make_user_api_key_auth):
     with patch("litellm.proxy.proxy_server.llm_router", None):
         with pytest.raises(ValueError, match="Router not initialized"):
             await proxy_logging._execute_guardrail_with_load_balancing(
@@ -188,9 +185,7 @@ async def test_execute_guardrail_with_load_balancing_router_none_raises(
 
 
 @pytest.mark.asyncio
-async def test_execute_guardrail_with_load_balancing_no_callback_raises(
-    proxy_logging, make_user_api_key_auth
-):
+async def test_execute_guardrail_with_load_balancing_no_callback_raises(proxy_logging, make_user_api_key_auth):
     router = MagicMock()
     router.get_available_guardrail = MagicMock(return_value={"callback": None})
     with patch("litellm.proxy.proxy_server.llm_router", router):
@@ -210,9 +205,7 @@ async def test_execute_guardrail_with_load_balancing_no_callback_raises(
 
 
 @pytest.mark.asyncio
-async def test_process_guardrail_callback_skipped_when_should_run_false(
-    proxy_logging, make_user_api_key_auth
-):
+async def test_process_guardrail_callback_skipped_when_should_run_false(proxy_logging, make_user_api_key_auth):
     cb = _make_guardrail()
     cb.should_run_guardrail = MagicMock(return_value=False)
     out = await proxy_logging._process_guardrail_callback(
@@ -226,9 +219,7 @@ async def test_process_guardrail_callback_skipped_when_should_run_false(
 
 
 @pytest.mark.asyncio
-async def test_process_guardrail_callback_returns_data_on_success(
-    proxy_logging, make_user_api_key_auth, monkeypatch
-):
+async def test_process_guardrail_callback_returns_data_on_success(proxy_logging, make_user_api_key_auth, monkeypatch):
     cb = _make_guardrail()
     cb.should_run_guardrail = MagicMock(return_value=True)
     proxy_logging._should_use_guardrail_load_balancing = MagicMock(return_value=False)
@@ -343,14 +334,14 @@ async def test_maybe_execute_pipelines_no_pipelines_returns_data(proxy_logging,
 
 
 @pytest.mark.asyncio
-async def test_maybe_execute_pipelines_skips_pipelines_with_other_mode(proxy_logging, make_user_api_key_auth, monkeypatch):
+async def test_maybe_execute_pipelines_skips_pipelines_with_other_mode(
+    proxy_logging, make_user_api_key_auth, monkeypatch
+):
     pipeline = MagicMock()
     pipeline.mode = "post_call"  # not pre_call
     data = {"metadata": {"_guardrail_pipelines": [("p1", pipeline)]}, "model": "m", "messages": []}
     executed = MagicMock()
-    monkeypatch.setattr(
-        "litellm.proxy.policy_engine.pipeline_executor.PipelineExecutor.execute_steps", executed
-    )
+    monkeypatch.setattr("litellm.proxy.policy_engine.pipeline_executor.PipelineExecutor.execute_steps", executed)
     out, replacement = await proxy_logging._maybe_execute_pipelines(
         data=data,
         user_api_key_dict=make_user_api_key_auth(),
@@ -538,9 +529,7 @@ def test_handle_pipeline_result_block_enriches_with_guardrail_name_and_mode():
     litellm.callbacks = [cb]
     try:
         with pytest.raises(HTTPException) as info:
-            ProxyLogging._handle_pipeline_result(
-                result=result, data={"model": "m"}, policy_name="p"
-            )
+            ProxyLogging._handle_pipeline_result(result=result, data={"model": "m"}, policy_name="p")
     finally:
         litellm.callbacks = saved
 
@@ -652,9 +641,7 @@ async def test_run_guardrail_with_metrics_records_error_and_enriches(monkeypatch
     monkeypatch.setattr(litellm, "callbacks", [prom])
 
     with pytest.raises(HTTPException):
-        await ProxyLogging._run_guardrail_with_metrics(
-            callback=cb, coro=task(), hook_type="post_call"
-        )
+        await ProxyLogging._run_guardrail_with_metrics(callback=cb, coro=task(), hook_type="post_call")
 
     assert detail["guardrail_name"] == "presidio"
     recorded = prom._record_guardrail_metrics.call_args.kwargs
@@ -682,9 +669,7 @@ def _moderation_guardrail() -> MagicMock:
 
 
 @pytest.mark.asyncio
-async def test_during_call_hook_records_latency_metric(
-    proxy_logging, make_user_api_key_auth, monkeypatch
-):
+async def test_during_call_hook_records_latency_metric(proxy_logging, make_user_api_key_auth, monkeypatch):
     cb = _moderation_guardrail()
     prom = _prometheus_callback()
     monkeypatch.setattr(litellm, "callbacks", [prom, cb])
@@ -703,9 +688,7 @@ async def test_during_call_hook_records_latency_metric(
 
 
 @pytest.mark.asyncio
-async def test_post_call_success_hook_records_latency_metric(
-    proxy_logging, make_user_api_key_auth, monkeypatch
-):
+async def test_post_call_success_hook_records_latency_metric(proxy_logging, make_user_api_key_auth, monkeypatch):
     cb = _moderation_guardrail()
     prom = _prometheus_callback()
     monkeypatch.setattr(litellm, "callbacks", [prom, cb])
@@ -733,9 +716,7 @@ async def test_post_call_success_hook_records_latency_metric(
 async def test_process_prompt_template_no_op_when_no_prompt_spec(proxy_logging, monkeypatch):
     from litellm.proxy.prompts import prompt_registry
 
-    monkeypatch.setattr(
-        prompt_registry.IN_MEMORY_PROMPT_REGISTRY, "resolve_prompt_spec", lambda *a, **kw: None
-    )
+    monkeypatch.setattr(prompt_registry.IN_MEMORY_PROMPT_REGISTRY, "resolve_prompt_spec", lambda *a, **kw: None)
     data: Dict[str, Any] = {"messages": [{"role": "user"}], "model": "m", "temperature": 0.1}
     await proxy_logging._process_prompt_template(
         data=data,
@@ -760,9 +741,7 @@ async def test_process_prompt_template_applies_when_spec_resolves(proxy_logging,
         "get_prompt_callback_for_prompt",
         lambda *a, **kw: custom_logger,
     )
-    monkeypatch.setattr(
-        prompt_registry.IN_MEMORY_PROMPT_REGISTRY, "resolve_prompt_spec", lambda *a, **kw: prompt_spec
-    )
+    monkeypatch.setattr(prompt_registry.IN_MEMORY_PROMPT_REGISTRY, "resolve_prompt_spec", lambda *a, **kw: prompt_spec)
 
     logging_obj = MagicMock()
     logging_obj.async_get_chat_completion_prompt = AsyncMock(
@@ -810,9 +789,7 @@ async def test_process_prompt_template_async_get_prompt_error_raises(proxy_loggi
         "get_prompt_callback_for_prompt",
         lambda *a, **kw: custom_logger,
     )
-    monkeypatch.setattr(
-        prompt_registry.IN_MEMORY_PROMPT_REGISTRY, "resolve_prompt_spec", lambda *a, **kw: prompt_spec
-    )
+    monkeypatch.setattr(prompt_registry.IN_MEMORY_PROMPT_REGISTRY, "resolve_prompt_spec", lambda *a, **kw: prompt_spec)
     logging_obj = MagicMock()
     logging_obj.async_get_chat_completion_prompt = AsyncMock(side_effect=RuntimeError("bad prompt"))
     with pytest.raises(RuntimeError):
@@ -913,9 +890,7 @@ async def test_process_prompt_template_aresponses_swaps_model_and_merges_input(p
         "get_prompt_callback_for_prompt",
         lambda *a, **kw: custom_logger,
     )
-    monkeypatch.setattr(
-        prompt_registry.IN_MEMORY_PROMPT_REGISTRY, "resolve_prompt_spec", lambda *a, **kw: prompt_spec
-    )
+    monkeypatch.setattr(prompt_registry.IN_MEMORY_PROMPT_REGISTRY, "resolve_prompt_spec", lambda *a, **kw: prompt_spec)
 
     logging_obj = MagicMock()
     logging_obj.async_get_chat_completion_prompt = AsyncMock(
@@ -1124,9 +1099,7 @@ async def test_pre_call_hook_still_runs_guardrail_managed_only_by_post_call_pipe
         },
     }
 
-    await proxy_logging.pre_call_hook(
-        user_api_key_dict=make_user_api_key_auth(), data=data, call_type="completion"
-    )
+    await proxy_logging.pre_call_hook(user_api_key_dict=make_user_api_key_auth(), data=data, call_type="completion")
 
     assert seen["count"] == 1
 
@@ -1289,11 +1262,7 @@ async def test_post_call_pipeline_block_keeps_guardrail_metadata_writes(
     monkeypatch.setattr(
         litellm,
         "callbacks",
-        [
-            BlockingWriterGuardrail(
-                guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False
-            )
-        ],
+        [BlockingWriterGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)],
     )
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     data = _post_call_pipeline_data()
@@ -1379,9 +1348,7 @@ async def test_pre_call_pipeline_managed_parallel_guardrail_runs_exactly_once(
         },
     }
 
-    await proxy_logging.pre_call_hook(
-        user_api_key_dict=make_user_api_key_auth(), data=data, call_type="completion"
-    )
+    await proxy_logging.pre_call_hook(user_api_key_dict=make_user_api_key_auth(), data=data, call_type="completion")
 
     assert seen["count"] == 1
 
@@ -1433,14 +1400,20 @@ def _output_blocking_callbacks(seen: dict[str, object]) -> list[CustomGuardrail]
             seen["response"] = response
             raise HTTPException(status_code=400, detail={"error": "output blocked"})
 
-    return [OutputBlockingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)]
+    return [
+        OutputBlockingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)
+    ]
 
 
 @pytest.mark.asyncio
 @pytest.mark.parametrize("pending_status", ["queued", "in_progress"])
 async def test_post_call_success_hook_waits_for_pending_background_response_before_running_pipeline(
-    proxy_logging, make_user_api_key_auth, monkeypatch, caplog, pending_status
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    caplog: pytest.LogCaptureFixture,
+    pending_status: str,
+) -> None:
     seen: dict[str, object] = {}
     monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks(seen))
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
@@ -1464,8 +1437,11 @@ async def test_post_call_success_hook_waits_for_pending_background_response_befo
 @pytest.mark.asyncio
 @pytest.mark.parametrize("final_status", ["completed", "incomplete"])
 async def test_post_call_success_hook_runs_pipeline_on_retrieved_background_response(
-    proxy_logging, make_user_api_key_auth, monkeypatch, final_status
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    final_status: str,
+) -> None:
     seen: dict[str, object] = {}
     monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks(seen))
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
@@ -1486,7 +1462,9 @@ def _output_passing_callbacks() -> list[CustomGuardrail]:
         async def async_post_call_success_hook(self, data, user_api_key_dict, response):
             return response
 
-    return [OutputPassingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)]
+    return [
+        OutputPassingGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)
+    ]
 
 
 def _claimed_post_call_pipeline_data(
@@ -1519,7 +1497,7 @@ def _claimed_post_call_pipeline_data(
 
 
 @pytest.fixture
-def clear_policy_registry():
+def clear_policy_registry() -> Iterator[None]:
     from litellm.proxy.policy_engine.policy_registry import get_policy_registry
 
     yield
@@ -1528,8 +1506,11 @@ def clear_policy_registry():
 
 @pytest.mark.asyncio
 async def test_pending_background_response_withdraws_the_deferred_policy_claims(
-    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    clear_policy_registry: None,
+) -> None:
     monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     data = _claimed_post_call_pipeline_data("response-governance")
@@ -1546,8 +1527,12 @@ async def test_pending_background_response_withdraws_the_deferred_policy_claims(
 
 @pytest.mark.asyncio
 async def test_pending_background_response_warns_when_the_deferred_policy_was_matched_through_a_tag(
-    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry, caplog
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    clear_policy_registry: None,
+    caplog: pytest.LogCaptureFixture,
+) -> None:
     monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     data = _claimed_post_call_pipeline_data("response-governance", policy_source="tag:governed+model:m")
@@ -1559,19 +1544,21 @@ async def test_pending_background_response_warns_when_the_deferred_policy_was_ma
 
     assert out.status == "queued"
     assert "policy_sources" not in data["metadata"]
-    assert [
-        message for message in _warnings(caplog) if "response-governance (tag:governed+model:m)" in message
-    ] == [
+    assert [message for message in _warnings(caplog) if "through a request tag" in message] == [
         "Policy engine: background response resp_bg matched post_call policies through a request tag at submit; "
         "retrieval re-matches only the key, team, and model scopes, so a tag carried in the request body "
-        "does not govern the completed response: response-governance (tag:governed+model:m)"
+        "does not govern the completed response: response-governance"
     ]
 
 
 @pytest.mark.asyncio
 async def test_pending_background_response_matched_through_its_model_does_not_warn(
-    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry, caplog
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    clear_policy_registry: None,
+    caplog: pytest.LogCaptureFixture,
+) -> None:
     monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
 
@@ -1587,12 +1574,17 @@ async def test_pending_background_response_matched_through_its_model_does_not_wa
 
 @pytest.mark.asyncio
 async def test_pending_background_response_keeps_the_claim_of_a_policy_that_runs_outside_its_pipeline(
-    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    clear_policy_registry: None,
+) -> None:
     monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     data = _claimed_post_call_pipeline_data(
-        "input-and-output-governance", "response-governance", extra_guardrails={"input-and-output-governance": ["gr-pre"]}
+        "input-and-output-governance",
+        "response-governance",
+        extra_guardrails={"input-and-output-governance": ["gr-pre"]},
     )
 
     await proxy_logging.post_call_success_hook(
@@ -1606,8 +1598,11 @@ async def test_pending_background_response_keeps_the_claim_of_a_policy_that_runs
 
 @pytest.mark.asyncio
 async def test_pending_background_response_keeps_the_claim_of_a_default_on_guardrail_that_ran_pre_call(
-    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    clear_policy_registry: None,
+) -> None:
     class DualStageGuardrail(CustomGuardrail):
         async def async_post_call_success_hook(self, data, user_api_key_dict, response):
             return response
@@ -1630,8 +1625,11 @@ async def test_pending_background_response_keeps_the_claim_of_a_default_on_guard
 
 @pytest.mark.asyncio
 async def test_retrieved_background_response_keeps_the_policy_claim_once_its_pipeline_ran(
-    proxy_logging, make_user_api_key_auth, monkeypatch, clear_policy_registry
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    clear_policy_registry: None,
+) -> None:
     monkeypatch.setattr(litellm, "callbacks", _output_passing_callbacks())
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     data = _claimed_post_call_pipeline_data("response-governance")
@@ -1647,8 +1645,11 @@ async def test_retrieved_background_response_keeps_the_policy_claim_once_its_pip
 
 @pytest.mark.asyncio
 async def test_pre_call_hook_stays_quiet_on_background_request_with_post_call_pipeline(
-    proxy_logging, make_user_api_key_auth, monkeypatch, caplog
-):
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    caplog: pytest.LogCaptureFixture,
+) -> None:
     monkeypatch.setattr(litellm, "callbacks", [])
     data = _post_call_pipeline_data(background=True)
 
@@ -1709,7 +1710,9 @@ def test_streamable_post_call_pipelines_keeps_supported_and_drops_unsupported(
         steps=[PipelineStep(guardrail="gr-post", on_fail="next"), PipelineStep(guardrail="gr-native", on_fail="block")],
     )
     pre_call = GuardrailPipeline(mode="pre_call", steps=[PipelineStep(guardrail="gr-native", on_fail="block")])
-    data = {"metadata": {"_guardrail_pipelines": [("governed", governed), ("ungoverned", ungoverned), ("req", pre_call)]}}
+    data = {
+        "metadata": {"_guardrail_pipelines": [("governed", governed), ("ungoverned", ungoverned), ("req", pre_call)]}
+    }
 
     with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
         streamable = _streamable_post_call_pipelines(data, make_user_api_key_auth(request_route="/v1/chat/completions"))
@@ -2009,7 +2012,9 @@ def _rewriting_stream_guardrail(transform: Callable[[Dict[str, Any]], Dict[str,
         async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
             return {**inputs, **transform(inputs)}
 
-    return RewritingStreamGuardrail(guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False)
+    return RewritingStreamGuardrail(
+        guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=False
+    )
 
 
 def _tool_call_stream_chunks() -> List[Any]:
@@ -2188,11 +2193,38 @@ async def test_streaming_iterator_hook_pipeline_releases_originals_on_unresolvab
 
 def _anthropic_sse_chunks() -> List[bytes]:
     events = [
-        ("message_start", {"type": "message_start", "message": {"id": "msg_1", "type": "message", "role": "assistant", "model": "m", "content": [], "stop_reason": None, "usage": {"input_tokens": 1, "output_tokens": 0}}}),
-        ("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}),
-        ("content_block_delta", {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "hello world"}}),
+        (
+            "message_start",
+            {
+                "type": "message_start",
+                "message": {
+                    "id": "msg_1",
+                    "type": "message",
+                    "role": "assistant",
+                    "model": "m",
+                    "content": [],
+                    "stop_reason": None,
+                    "usage": {"input_tokens": 1, "output_tokens": 0},
+                },
+            },
+        ),
+        (
+            "content_block_start",
+            {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}},
+        ),
+        (
+            "content_block_delta",
+            {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "hello world"}},
+        ),
         ("content_block_stop", {"type": "content_block_stop", "index": 0}),
-        ("message_delta", {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence": None}, "usage": {"output_tokens": 2}}),
+        (
+            "message_delta",
+            {
+                "type": "message_delta",
+                "delta": {"stop_reason": "end_turn", "stop_sequence": None},
+                "usage": {"output_tokens": 2},
+            },
+        ),
         ("message_stop", {"type": "message_stop"}),
     ]
     return [f"event: {name}\ndata: {json.dumps(payload)}\n\n".encode() for name, payload in events]
@@ -2259,7 +2291,13 @@ async def test_streaming_iterator_hook_pipeline_delivers_text_rewrite_on_anthrop
     assert "hello [MASKED]" in raw
     assert "hello world" not in raw
     assert raw.count("event: content_block_delta") == 1
-    for expected_event in ("message_start", "content_block_start", "content_block_stop", "message_delta", "message_stop"):
+    for expected_event in (
+        "message_start",
+        "content_block_start",
+        "content_block_stop",
+        "message_delta",
+        "message_stop",
+    ):
         assert f"event: {expected_event}" in raw
 
 
@@ -2332,9 +2370,7 @@ async def test_per_chunk_streaming_hook_skips_pipeline_managed_guardrail(
     managed = UnifiedRecordingGuardrail(
         guardrail_name="gr-post", event_hook=GuardrailEventHooks.post_call, default_on=True
     )
-    free = RecordingGuardrail(
-        guardrail_name="gr-free", event_hook=GuardrailEventHooks.post_call, default_on=True
-    )
+    free = RecordingGuardrail(guardrail_name="gr-free", event_hook=GuardrailEventHooks.post_call, default_on=True)
     monkeypatch.setattr(litellm, "callbacks", [managed, free])
     monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
     data = _post_call_pipeline_data(stream=True)

From c66ae07e3bb97e875d88096458e5de80b351828c Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 20:11:01 -0700
Subject: [PATCH 187/223] fix(hosted_vllm): reject image edit params vLLM-Omni
 ignores

---
 .../hosted_vllm/image_edit/transformation.py  |  9 ++++
 litellm/utils.py                              |  2 +-
 ...t_hosted_vllm_image_edit_transformation.py | 43 +++++++++++++++++++
 3 files changed, 53 insertions(+), 1 deletion(-)

diff --git a/litellm/llms/hosted_vllm/image_edit/transformation.py b/litellm/llms/hosted_vllm/image_edit/transformation.py
index fa8c1dbfcfd..3b8cc437168 100644
--- a/litellm/llms/hosted_vllm/image_edit/transformation.py
+++ b/litellm/llms/hosted_vllm/image_edit/transformation.py
@@ -3,8 +3,17 @@ from typing import Final
 from litellm.llms.openai.image_edit.transformation import OpenAIImageEditConfig
 from litellm.secret_managers.main import get_secret_str
 
+PARAMS_VLLM_OMNI_DOES_NOT_ACCEPT: Final = frozenset({"mask", "quality", "input_fidelity"})
+
 
 class HostedVLLMImageEditConfig(OpenAIImageEditConfig):
+    def get_supported_openai_params(self, model: str) -> list:  # mutable-ok: BaseImageEditConfig contract
+        return [  # mutable-ok: BaseImageEditConfig returns list
+            param
+            for param in super().get_supported_openai_params(model)
+            if param not in PARAMS_VLLM_OMNI_DOES_NOT_ACCEPT
+        ]
+
     def validate_environment(
         self,
         headers: dict,  # mutable-ok: BaseImageEditConfig contract
diff --git a/litellm/utils.py b/litellm/utils.py
index 0f2b2f9042d..fc530f14e28 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -9239,7 +9239,7 @@ class ProviderConfigManager:
             from litellm.llms.openai.image_edit import get_openai_image_edit_config
 
             return get_openai_image_edit_config(model=model)
-        if LlmProviders.HOSTED_VLLM == provider:
+        elif LlmProviders.HOSTED_VLLM == provider:
             from litellm.llms.hosted_vllm.image_edit import get_hosted_vllm_image_edit_config
 
             return get_hosted_vllm_image_edit_config(model=model)
diff --git a/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py b/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py
index 5646f3d9d13..bc0ea23e249 100644
--- a/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py
+++ b/tests/test_litellm/llms/hosted_vllm/image_edit/test_hosted_vllm_image_edit_transformation.py
@@ -110,3 +110,46 @@ def test_image_edit_posts_multipart_to_vllm_omni():
     assert f'name="model"\r\n\r\n{MODEL}'.encode() in request.content
     assert b'name="prompt"\r\n\r\nadd a hat' in request.content
     assert b'name="seed"\r\n\r\n42' in request.content
+
+
+@pytest.mark.parametrize("param", ["mask", "quality", "input_fidelity"])
+def test_params_vllm_omni_ignores_are_not_advertised(param: str):
+    supported = HostedVLLMImageEditConfig().get_supported_openai_params(MODEL)
+
+    assert param not in supported
+    assert {"image", "prompt", "n", "size", "response_format", "background", "user"} <= set(supported)
+
+
+def test_image_edit_rejects_quality_unless_dropped():
+    captured: list[httpx.Request] = []
+
+    def handler(request: httpx.Request) -> httpx.Response:
+        captured.append(request)
+        return httpx.Response(200, json={"created": 1712697600, "data": [{"b64_json": "aW1n"}]})
+
+    client = HTTPHandler(client=httpx.Client(transport=httpx.MockTransport(handler)))
+
+    with pytest.raises(litellm.UnsupportedParamsError, match="quality"):
+        litellm.image_edit(
+            model=f"hosted_vllm/{MODEL}",
+            image=PNG_BYTES,
+            prompt="add a hat",
+            api_base="http://localhost:8091",
+            client=client,
+            quality="low",
+        )
+    assert captured == []
+
+    litellm.image_edit(
+        model=f"hosted_vllm/{MODEL}",
+        image=PNG_BYTES,
+        prompt="add a hat",
+        api_base="http://localhost:8091",
+        client=client,
+        quality="low",
+        drop_params=True,
+    )
+
+    assert len(captured) == 1
+    assert b'name="quality"' not in captured[0].content
+    assert b'name="prompt"\r\n\r\nadd a hat' in captured[0].content

From 9a721abf0d098f40caa6ba67d343e99de74f7fc2 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 03:50:49 +0000
Subject: [PATCH 188/223] test(cost-map): clear LITELLM_LOCAL_MODEL_COST_MAP in
 register_model url test

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 tests/test_litellm/test_utils.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index e90372141bd..e42608c9904 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -2386,6 +2386,7 @@ def test_register_model_with_scientific_notation():
 
 @respx.mock
 def test_register_model_url_fetch_uses_single_attempt(monkeypatch):
+    monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False)
     monkeypatch.setattr(litellm, "model_cost", dict(litellm.model_cost))
     before = dict(litellm.model_cost)
     threads_before = {thread.name for thread in threading.enumerate()}

From 15392e7b3a298bec57f4aae31e863e39fb182cc6 Mon Sep 17 00:00:00 2001
From: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 21:26:04 -0700
Subject: [PATCH 189/223] fix(mcp): surface connection test failures safely

---
 litellm/experimental_mcp_client/client.py     |  21 +++
 .../mcp_server/rest_endpoints.py              |  59 ++++++-
 .../test_mcp_client.py                        | 124 ++++++++++++++-
 .../mcp_server/test_rest_endpoints.py         | 148 +++++++++++++++++-
 4 files changed, 334 insertions(+), 18 deletions(-)

diff --git a/litellm/experimental_mcp_client/client.py b/litellm/experimental_mcp_client/client.py
index 3503468c735..cabcc6c03ba 100644
--- a/litellm/experimental_mcp_client/client.py
+++ b/litellm/experimental_mcp_client/client.py
@@ -18,6 +18,7 @@ from mcp import ClientSession, McpError, ReadResourceResult, Resource, StdioServ
 from mcp.client.sse import sse_client
 from mcp.client.stdio import stdio_client
 from mcp.shared.message import SessionMessage
+from mcp.shared.session import RequestResponder
 from typing_extensions import Unpack
 
 _TransportStreams: TypeAlias = tuple[
@@ -56,10 +57,13 @@ def missing_streamable_http_client_error() -> ImportError:
 from mcp.types import CallToolRequestParams as MCPCallToolRequestParams
 from mcp.types import CallToolResult as MCPCallToolResult
 from mcp.types import (
+    ClientResult,
     GetPromptRequestParams,
     GetPromptResult,
     Prompt,
     ResourceTemplate,
+    ServerNotification,
+    ServerRequest,
     TextContent,
 )
 from mcp.types import Tool as MCPTool
@@ -442,6 +446,18 @@ class MCPClient:
         in_flight_error: BaseException | None = None
         try:
             read_stream, write_stream = transport[0], transport[1]
+            stream_error: Final[asyncio.Future[Exception]] = asyncio.get_running_loop().create_future()
+
+            async def receive_message(
+                message: RequestResponder[ServerRequest, ClientResult] | ServerNotification | Exception,
+            ) -> None:
+                if not isinstance(message, ValueError):
+                    return
+                if not stream_error.done():
+                    stream_error.set_result(message)
+                # The SDK closes pending requests when its message handler raises.
+                raise RuntimeError("MCP response stream failed")
+
             # Build session kwargs with optional callbacks
             session_kwargs: Final[dict[str, Any]] = {}
             if self._sampling_callback is not None:
@@ -456,6 +472,7 @@ class MCPClient:
                 read_stream,
                 write_stream,
                 read_timeout_seconds=timedelta(seconds=self.timeout),
+                message_handler=receive_message if self.transport_type == MCPTransport.http else None,
                 **session_kwargs,
             )
             session: Final = await session_ctx.__aenter__()
@@ -467,6 +484,10 @@ class MCPClient:
                     if isinstance(ins, str) and ins.strip():
                         self._last_initialize_instructions = ins.strip()
                 return await operation(session)
+            except McpError:
+                if stream_error.done():
+                    raise stream_error.result()
+                raise
             finally:
                 try:
                     await session_ctx.__aexit__(None, None, None)
diff --git a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
index 329dddbdf05..c0ffeaeac62 100644
--- a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
+++ b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
@@ -3,12 +3,15 @@ import importlib
 from collections.abc import Awaitable, Callable, Mapping, Sequence
 from dataclasses import dataclass
 from datetime import datetime
+from traceback import walk_tb
 from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, Literal
+from uuid import uuid4
 
 import anyio
 import httpx
 from fastapi import APIRouter, Depends, HTTPException, Query, Request, status
+from pydantic import ValidationError
 from starlette.datastructures import Headers
 
 from litellm._logging import verbose_logger
@@ -30,6 +33,8 @@ from litellm.proxy._experimental.mcp_server.faults.list_outcomes import (
     list_fault_http_status,
     outcome_wire_value,
 )
+from litellm.proxy._experimental.mcp_server.faults.traversal import iter_exception_tree
+from litellm.proxy._experimental.mcp_server.oauth_utils import _redact_mcp_resource_url
 from litellm.proxy._experimental.mcp_server.ui_session_utils import (
     acting_user_auth,
     build_effective_auth_contexts,
@@ -78,11 +83,38 @@ _MCP_GUARDRAIL_REJECTIONS: Final = (
 
 
 def _connection_error_message(exc: BaseException, url: str | None, timeout_seconds: float) -> str:
+    reference: Final = uuid4().hex
+    verbose_logger.error(
+        "MCP connection test failed (reference=%s): %s",
+        reference,
+        tuple(
+            (
+                type(cause).__name__,
+                tuple(
+                    (frame.f_code.co_filename, lineno, frame.f_code.co_name)
+                    for frame, lineno in walk_tb(cause.__traceback__)
+                ),
+            )
+            for cause in iter_exception_tree(exc)
+        ),
+    )
+    return next(
+        (
+            message
+            for cause in iter_exception_tree(exc)
+            if (message := _known_connection_error_message(cause, url, timeout_seconds)) is not None
+        ),
+        "An unexpected error occurred while testing the MCP connection. "
+        f"Retry; if it persists, share reference {reference} with your gateway administrator.",
+    )
+
+
+def _known_connection_error_message(exc: BaseException, url: str | None, timeout_seconds: float) -> str | None:
     if isinstance(exc, MCPServerURLCredentialsError):
         return str(exc.detail)
     if isinstance(exc, TimeoutError):
         return (
-            f"Failed to connect to MCP server: no response from {url or 'the server'} "
+            f"Failed to connect to MCP server: no response from {_redact_mcp_resource_url(url) or 'the server'} "
             f"within {timeout_seconds:.0f}s. Check that the LiteLLM proxy can reach this URL "
             "from its network (DNS, egress rules, firewalls) and that the server answers MCP requests."
         )
@@ -99,10 +131,32 @@ def _connection_error_message(exc: BaseException, url: str | None, timeout_secon
         return "Failed to connect to MCP server: the connection timed out."
     if isinstance(exc, httpx.HTTPStatusError):
         return f"Failed to connect to MCP server: it returned HTTP {exc.response.status_code}."
-    return "Failed to connect to MCP server. Check proxy logs for details."
+    if isinstance(exc, ValueError) and str(exc).startswith("Unexpected content type:"):
+        return (
+            "Failed to connect to MCP server: the endpoint returned an unsupported content type. "
+            "Check that the URL is an MCP endpoint, not a web page, and matches the selected transport."
+        )
+    if isinstance(exc, ValidationError) and exc.title in ("JSONRPCMessage", "InitializeResult", "ListToolsResult"):
+        return (
+            "Failed to connect to MCP server: the endpoint returned invalid JSON or an invalid MCP response. "
+            "Check the MCP endpoint URL and the server's protocol implementation."
+        )
+    if MCP_AVAILABLE and isinstance(exc, McpError):
+        if exc.error.code == 32600 and exc.error.message == "Session terminated":
+            return (
+                "Failed to connect to MCP server: the MCP session was terminated. "
+                "Check that the URL points to an MCP endpoint and matches the selected transport, "
+                "then retry to start a new session."
+            )
+        return (
+            f"Failed to connect to MCP server: the MCP request failed (JSON-RPC code {exc.error.code}). "
+            "Check that the endpoint supports MCP initialization and tool listing, and check the upstream server logs."
+        )
+    return None
 
 
 if MCP_AVAILABLE:
+    from mcp.shared.exceptions import McpError
     from mcp.types import Tool as MCPTool
 
     from litellm.experimental_mcp_client.client import MCPClient
@@ -1342,7 +1396,6 @@ if MCP_AVAILABLE:
         except (KeyboardInterrupt, SystemExit, asyncio.CancelledError):
             raise
         except BaseException as e:
-            verbose_logger.error("Error in MCP operation: %s", e, exc_info=True)
             return {
                 "status": "error",
                 "error": True,
diff --git a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
index 4db131da62c..49268b4d22d 100644
--- a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
+++ b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
@@ -1,9 +1,11 @@
 import asyncio
 import base64
+import json
 import os
 import sys
 from importlib import metadata
 from pathlib import Path
+from typing import Final
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import anyio
@@ -11,6 +13,8 @@ import httpx
 import pytest
 from litellm.proxy._experimental.mcp_server.outbound_credentials.httpx_auth import StaticHeaderAuth
 from mcp import McpError
+from mcp.client.streamable_http import streamable_http_client
+from pydantic import ValidationError
 from mcp.shared.message import SessionMessage
 from mcp.types import (
     LATEST_PROTOCOL_VERSION,
@@ -1224,14 +1228,14 @@ def test_without_a_configured_slot_the_existing_precedence_is_unchanged():
 
 
 _REDIRECT_CASES = [
-    ("https://upstream.example.com/mcp", "https://upstream.example.com/other"),      # same origin
+    ("https://upstream.example.com/mcp", "https://upstream.example.com/other"),  # same origin
     ("https://upstream.example.com/mcp", "https://upstream.example.com:443/other"),  # explicit default port
-    ("https://upstream.example.com/mcp", "https://attacker.example.com/collect"),    # different host
-    ("https://upstream.example.com/mcp", "http://upstream.example.com/collect"),     # scheme downgrade
-    ("https://upstream.example.com/mcp", "https://upstream.example.com:8443/other"), # different port
-    ("https://upstream.example.com/mcp", "https://sub.upstream.example.com/x"),      # different host
-    ("http://upstream.example.com/mcp", "https://upstream.example.com/other"),       # http -> https upgrade
-    ("http://upstream.example.com/mcp", "http://upstream.example.com/other"),        # same origin, plain http
+    ("https://upstream.example.com/mcp", "https://attacker.example.com/collect"),  # different host
+    ("https://upstream.example.com/mcp", "http://upstream.example.com/collect"),  # scheme downgrade
+    ("https://upstream.example.com/mcp", "https://upstream.example.com:8443/other"),  # different port
+    ("https://upstream.example.com/mcp", "https://sub.upstream.example.com/x"),  # different host
+    ("http://upstream.example.com/mcp", "https://upstream.example.com/other"),  # http -> https upgrade
+    ("http://upstream.example.com/mcp", "http://upstream.example.com/other"),  # same origin, plain http
 ]
 
 
@@ -1283,3 +1287,109 @@ def test_a_differently_cased_injected_header_cannot_shadow_the_slot() -> None:
     headers = client._get_auth_headers()
     assert [v for k, v in headers.items() if k.lower() == "esb-oauth"] == ["Bearer minted-token"]
     assert headers["X-Trace"] == "keep"
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    ("content_type", "body", "expected_type"),
+    [
+        ("text/html", b"<html>secret-page</html>", ValueError),
+        ("application/json", b"secret-invalid-json", ValidationError),
+        ("application/json", b'{"secret":"invalid-rpc"}', ValidationError),
+        ("application/json", b'{"jsonrpc":"2.0","id":0,"result":{"secret":"invalid-schema"}}', ValidationError),
+    ],
+)
+async def test_invalid_http_response_surfaces_without_waiting_for_timeout(
+    content_type: str, body: bytes, expected_type: type[Exception]
+) -> None:
+    from litellm.proxy._experimental.mcp_server.rest_endpoints import _connection_error_message
+
+    def respond(request: httpx.Request) -> httpx.Response:
+        return httpx.Response(200, headers={"Content-Type": content_type}, content=body)
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client:
+        client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30)
+        with pytest.raises(expected_type) as caught:
+            await asyncio.wait_for(
+                client._execute_session_operation(
+                    streamable_http_client(client.server_url, http_client=http_client),
+                    lambda session: session.list_tools(),
+                ),
+                timeout=3,
+            )
+
+    message: Final = _connection_error_message(caught.value, client.server_url, 30)
+    assert "unsupported content type" in message or "invalid MCP response" in message
+    assert "secret" not in message
+    assert "timed out" not in message
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("status_code", [200, 401, 503])
+async def test_http_response_handler_preserves_success_and_http_errors(status_code: int) -> None:
+    def respond(request: httpx.Request) -> httpx.Response:
+        if request.method == "DELETE":
+            return httpx.Response(200)
+        payload: Final = json.loads(request.content)
+        if "id" not in payload:
+            return httpx.Response(202)
+        result: Final = (
+            {
+                "protocolVersion": LATEST_PROTOCOL_VERSION,
+                "capabilities": {},
+                "serverInfo": {"name": "test", "version": "1"},
+            }
+            if payload["method"] == "initialize"
+            else {"tools": []}
+        )
+        return httpx.Response(status_code, json={"jsonrpc": "2.0", "id": payload["id"], "result": result})
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client:
+        client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30)
+        operation: Final = client._execute_session_operation(
+            streamable_http_client(client.server_url, http_client=http_client), lambda session: session.list_tools()
+        )
+        if status_code == 200:
+            result: Final = await asyncio.wait_for(operation, timeout=3)
+            assert result.tools == []
+        else:
+            with pytest.raises(httpx.HTTPStatusError) as caught:
+                await asyncio.wait_for(operation, timeout=3)
+            assert caught.value.response.status_code == status_code
+
+
+@pytest.mark.asyncio
+async def test_invalid_tool_list_schema_is_identified_as_an_upstream_response() -> None:
+    from litellm.proxy._experimental.mcp_server.rest_endpoints import _connection_error_message
+
+    def respond(request: httpx.Request) -> httpx.Response:
+        if request.method == "DELETE":
+            return httpx.Response(200)
+        payload: Final = json.loads(request.content)
+        if "id" not in payload:
+            return httpx.Response(202)
+        result: Final = (
+            {
+                "protocolVersion": LATEST_PROTOCOL_VERSION,
+                "capabilities": {},
+                "serverInfo": {"name": "test", "version": "1"},
+            }
+            if payload["method"] == "initialize"
+            else {"tools": "secret-invalid-tools"}
+        )
+        return httpx.Response(200, json={"jsonrpc": "2.0", "id": payload["id"], "result": result})
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client:
+        client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30)
+        with pytest.raises(ValidationError) as caught:
+            await asyncio.wait_for(
+                client._execute_session_operation(
+                    streamable_http_client(client.server_url, http_client=http_client),
+                    lambda session: session.list_tools(),
+                ),
+                timeout=3,
+            )
+
+    message: Final = _connection_error_message(caught.value, client.server_url, 30)
+    assert "invalid MCP response" in message
+    assert "secret" not in message
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
index bd692776c82..73734131130 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
@@ -3,7 +3,7 @@ import inspect
 import json
 import sys
 from datetime import datetime
-from typing import Any, Dict, Optional
+from typing import Any, Dict, Final, Optional
 from unittest.mock import AsyncMock, MagicMock
 
 if sys.version_info < (3, 11):  # BaseExceptionGroup is a builtin only from 3.11
@@ -113,7 +113,7 @@ class TestExecuteWithMcpClient:
         assert "stack_trace" not in result
 
     @pytest.mark.asyncio
-    async def test_timeout_caps_hanging_operation_and_names_url(self, monkeypatch):
+    async def test_timeout_caps_hanging_operation_and_names_origin(self, monkeypatch):
         async def fake_create_client(*args, **kwargs):
             return object()
 
@@ -138,7 +138,7 @@ class TestExecuteWithMcpClient:
         )
 
         assert result["error"] is True
-        assert "https://mcp.example.com/mcp/" in result["message"]
+        assert "https://mcp.example.com" in result["message"]
 
     @pytest.mark.asyncio
     async def test_timeout_covers_client_creation(self, monkeypatch):
@@ -166,15 +166,15 @@ class TestExecuteWithMcpClient:
         )
 
         assert result["error"] is True
-        assert "https://mcp.example.com/mcp/" in result["message"]
+        assert "https://mcp.example.com" in result["message"]
 
     def test_timeout_defaults_to_tool_listing_timeout(self):
         default = inspect.signature(rest_endpoints._execute_with_mcp_client).parameters["timeout_seconds"].default
         assert default == MCP_TOOL_LISTING_TIMEOUT
 
-    def test_connection_error_message_timeout_names_url_and_budget(self):
+    def test_connection_error_message_timeout_names_origin_and_budget(self):
         message = rest_endpoints._connection_error_message(TimeoutError(), "https://api.example.com/mcp/", 30.0)
-        assert "https://api.example.com/mcp/" in message
+        assert "https://api.example.com" in message
         assert "30s" in message
 
     def test_connection_error_message_hides_arbitrary_http_exception_detail(self):
@@ -592,7 +592,7 @@ class TestExecuteWithMcpClient:
 
         assert result["status"] == "error"
         assert result["error"] is True
-        assert "Failed to connect to MCP server" in result["message"]
+        assert "reference" in result["message"]
         # Error message must not leak raw exception details
         assert "cancel scope" not in result["message"]
 
@@ -3430,7 +3430,139 @@ class TestConnectionErrorMessage:
     def test_unknown_error_falls_back_to_generic(self):
         message = rest_endpoints._connection_error_message(RuntimeError("weird"), "https://example.com", 30.0)
         assert "weird" not in message
-        assert "proxy logs" in message.lower()
+        assert "reference" in message.lower()
+
+    def test_sdk_session_terminated_explains_endpoint_and_retry(self) -> None:
+        from mcp.shared.exceptions import McpError
+        from mcp.types import ErrorData
+
+        message: Final = rest_endpoints._connection_error_message(
+            McpError(ErrorData(code=32600, message="Session terminated")), "https://example.com/mcp", 30.0
+        )
+
+        assert "session was terminated" in message
+        assert "MCP endpoint" in message
+        assert "transport" in message
+        assert "retry" in message
+        assert "404" not in message
+
+    @pytest.mark.parametrize("code", [-32700, -32601, -32602, -32603, -32000, 32600, 408])
+    def test_rpc_errors_include_code_without_echoing_upstream_data(self, code: int) -> None:
+        from mcp.shared.exceptions import McpError
+        from mcp.types import ErrorData
+
+        message: Final = rest_endpoints._connection_error_message(
+            McpError(ErrorData(code=code, message="secret-message", data={"token": "secret-data"})),
+            "https://example.com/secret-path?token=secret-query",
+            30.0,
+        )
+
+        assert f"JSON-RPC code {code}" in message
+        assert "secret" not in message
+        assert "timed out" not in message
+        assert "session was terminated" not in message
+
+    @pytest.mark.parametrize("status_code", [401, 403, 404, 405, 429, 503])
+    def test_wrapped_http_failures_preserve_status(self, status_code: int) -> None:
+        response: Final = httpx.Response(status_code, text="secret-body")
+        upstream: Final = httpx.HTTPStatusError(
+            "secret-exception",
+            request=httpx.Request("POST", "https://example.com/?token=secret-query"),
+            response=response,
+        )
+        wrapped: Final = BaseExceptionGroup(
+            "secret-group", [asyncio.CancelledError(), BaseExceptionGroup("nested", [upstream])]
+        )
+
+        message: Final = rest_endpoints._connection_error_message(wrapped, "https://example.com", 30.0)
+
+        assert f"HTTP {status_code}" in message
+        assert "secret" not in message
+
+    def test_explicit_cause_is_classified_before_incidental_context(self) -> None:
+        wrapped: Final = RuntimeError("secret-wrapper")
+        wrapped.__cause__ = httpx.ConnectError("secret-cause")
+        wrapped.__context__ = TimeoutError("secret-context")
+
+        message: Final = rest_endpoints._connection_error_message(wrapped, "https://example.com", 30.0)
+
+        assert "unreachable" in message
+        assert "secret" not in message
+
+    def test_timeout_url_redacts_credentials_path_query_and_fragment(self) -> None:
+        message: Final = rest_endpoints._connection_error_message(
+            TimeoutError("secret-error"),
+            "https://secret-user:secret-pass@example.com:8443/secret-path?token=secret-query#secret-fragment",
+            30.0,
+        )
+
+        assert "https://example.com:8443" in message
+        assert "30s" in message
+        assert "secret" not in message
+
+    def test_unknown_failure_reference_matches_safe_diagnostics(self, caplog: pytest.LogCaptureFixture) -> None:
+        import re
+
+        try:
+            raise RuntimeError("secret-exception-body")
+        except RuntimeError as exc:
+            message: Final = rest_endpoints._connection_error_message(
+                exc, "https://secret-user:secret-password@example.com/secret-path?token=secret-query", 30.0
+            )
+
+        reference: Final = re.search(r"reference ([a-f0-9]{32})", message)
+        assert reference is not None
+        diagnostics: Final = tuple(
+            record for record in caplog.records if "MCP connection test failed" in record.message
+        )
+        assert len(diagnostics) == 1
+        assert reference.group(1) in diagnostics[0].message
+        assert "RuntimeError" in diagnostics[0].message
+        assert "test_unknown_failure_reference_matches_safe_diagnostics" in diagnostics[0].message
+        assert diagnostics[0].exc_info is None
+        assert "secret" not in message + diagnostics[0].message
+
+    @pytest.mark.parametrize("exc", [ValueError("secret-config"), HTTPException(500, "secret-detail")])
+    def test_unrelated_errors_are_not_misreported_as_invalid_mcp(self, exc: Exception) -> None:
+        message: Final = rest_endpoints._connection_error_message(exc, "https://example.com", 30.0)
+
+        assert "reference" in message
+        assert "invalid MCP response" not in message
+        assert "secret" not in message
+
+    def test_configuration_validation_error_uses_unknown_fallback(self) -> None:
+        from pydantic import ValidationError
+
+        with pytest.raises(ValidationError) as caught:
+            NewMCPServerRequest.model_validate({"server_name": "example", "transport": "secret-invalid-transport"})
+
+        message: Final = rest_endpoints._connection_error_message(caught.value, "https://example.com", 30.0)
+        assert "reference" in message
+        assert "invalid MCP response" not in message
+        assert "secret" not in message
+
+    @pytest.mark.asyncio
+    async def test_connection_test_preserves_cancellation(self) -> None:
+        async def cancelled_operation(client: rest_endpoints.MCPClient) -> dict[str, object]:
+            raise asyncio.CancelledError
+
+        payload: Final = NewMCPServerRequest(server_name="cancelled", url="https://example.com", auth_type=MCPAuth.none)
+        with pytest.raises(asyncio.CancelledError):
+            await rest_endpoints._execute_with_mcp_client(payload, cancelled_operation)
+
+    @pytest.mark.asyncio
+    async def test_unknown_failure_preserves_response_contract(self) -> None:
+        async def failing_operation(client: rest_endpoints.MCPClient) -> dict[str, object]:
+            raise RuntimeError("secret-operation")
+
+        payload: Final = NewMCPServerRequest(server_name="unknown", url="https://example.com", auth_type=MCPAuth.none)
+        result: Final = await rest_endpoints._execute_with_mcp_client(payload, failing_operation)
+
+        assert result["error"] is True
+        assert result["status"] == "error"
+        assert "reference" in result["message"]
+        assert "secret" not in result["message"]
+        assert "stack_trace" not in result
 
 
 class TestGetServerAuthHeaderGroupDefault:

From 7b6ef9206e87c09adfc5844c8f8130da73d794fb Mon Sep 17 00:00:00 2001
From: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Date: Tue, 8 Sep 2026 22:14:47 -0700
Subject: [PATCH 190/223] test(mcp): cover server notifications during tool
 listing

---
 .../test_mcp_client.py                        | 53 +++++++++++++++++++
 1 file changed, 53 insertions(+)

diff --git a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
index 49268b4d22d..90292b9b162 100644
--- a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
+++ b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
@@ -24,6 +24,7 @@ from mcp.types import (
     JSONRPCError,
     JSONRPCMessage,
     JSONRPCResponse,
+    LoggingMessageNotificationParams,
     ServerCapabilities,
 )
 
@@ -1358,6 +1359,58 @@ async def test_http_response_handler_preserves_success_and_http_errors(status_co
             assert caught.value.response.status_code == status_code
 
 
+@pytest.mark.asyncio
+async def test_http_response_handler_preserves_notifications_and_tool_listing() -> None:
+    notification: Final = {
+        "jsonrpc": "2.0",
+        "method": "notifications/message",
+        "params": {"level": "info", "data": "Listing tools"},
+    }
+    logging_callback: Final = AsyncMock()
+
+    def respond(request: httpx.Request) -> httpx.Response:
+        if request.method == "DELETE":
+            return httpx.Response(200)
+        payload: Final = json.loads(request.content)
+        if "id" not in payload:
+            return httpx.Response(202)
+        if payload["method"] == "initialize":
+            return httpx.Response(
+                200,
+                json={
+                    "jsonrpc": "2.0",
+                    "id": payload["id"],
+                    "result": {
+                        "protocolVersion": LATEST_PROTOCOL_VERSION,
+                        "capabilities": {"logging": {}, "tools": {}},
+                        "serverInfo": {"name": "test", "version": "1"},
+                    },
+                },
+            )
+        response: Final = {
+            "jsonrpc": "2.0",
+            "id": payload["id"],
+            "result": {"tools": [{"name": "search", "inputSchema": {"type": "object"}}]},
+        }
+        return httpx.Response(
+            200,
+            headers={"Content-Type": "text/event-stream"},
+            content="".join(f"event: message\ndata: {json.dumps(message)}\n\n" for message in (notification, response)),
+        )
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client:
+        client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30, logging_callback=logging_callback)
+        result: Final = await asyncio.wait_for(
+            client._execute_session_operation(
+                streamable_http_client(client.server_url, http_client=http_client), lambda session: session.list_tools()
+            ),
+            timeout=3,
+        )
+
+    assert [tool.name for tool in result.tools] == ["search"]
+    logging_callback.assert_awaited_once_with(LoggingMessageNotificationParams(level="info", data="Listing tools"))
+
+
 @pytest.mark.asyncio
 async def test_invalid_tool_list_schema_is_identified_as_an_upstream_response() -> None:
     from litellm.proxy._experimental.mcp_server.rest_endpoints import _connection_error_message

From 884f90c72715b0cfe0d5e2ea09f3744cb8376a78 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 05:15:53 +0000
Subject: [PATCH 191/223] refactor(cost-map): inline background retry, trim
 tests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../litellm_core_utils/get_model_cost_map.py  | 119 ++++-----
 .../test_get_model_cost_map.py                | 243 +++++++-----------
 2 files changed, 139 insertions(+), 223 deletions(-)

diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index 67d06a0758e..f81ddbfee2e 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -184,10 +184,6 @@ def mark_litellm_import_complete() -> None:
     _litellm_import_complete.set()
 
 
-def _start_daemon_thread(fn: Callable[[], None]) -> None:
-    threading.Thread(target=fn, name="litellm-model-cost-map-retry", daemon=True).start()
-
-
 @dataclass(frozen=True, slots=True)
 class ModelCostMapReloaded:
     model_cost_map: dict  # mutable-ok: adopted as litellm.model_cost, whose consumer contract is a plain mutable dict
@@ -531,32 +527,6 @@ def _finalize_loaded_model_cost_map(loaded: ModelCostMapReloaded) -> ModelCostMa
     return replace(loaded, model_cost_map=_finalize_model_cost_map(loaded.model_cost_map))
 
 
-def _use_local_backup(reason: str | None) -> dict:  # mutable-ok: returns the mutable model-cost map contract
-    _cost_map_source_info.source = "local"
-    _cost_map_source_info.fallback_reason = reason
-    return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
-
-
-def _accept_remote(
-    result: ModelCostMapReloaded, url: str
-) -> dict | None:  # mutable-ok: returns the mutable model-cost map contract
-    if not GetModelCostMap.validate_model_cost_map(
-        fetched_map=result.model_cost_map,
-        backup_model_count=GetModelCostMap._get_backup_model_count(),  # pyright: ignore[reportPrivateUsage]  # integrity cache
-    ):
-        verbose_logger.warning(
-            "LiteLLM: Fetched model cost map failed integrity check. Using local backup instead. url=%s",
-            url,
-        )
-        return None
-    finalized: Final = _finalize_loaded_model_cost_map(result).model_cost_map
-    _cost_map_source_info.source = "remote"
-    _cost_map_source_info.url = url
-    _cost_map_source_info.is_env_forced = False
-    _cost_map_source_info.fallback_reason = None
-    return finalized
-
-
 def adopt_model_cost_map(
     new_model_cost_map: dict,  # mutable-ok: public API preserves the mutable cost-map contract
 ) -> int:
@@ -579,7 +549,6 @@ def _retry_remote_fetch_in_background(
     rng: random.Random,
     client: _SyncGetClient,
     first_outcome: _FetchAttemptRetryable,
-    apply: Callable[[dict], object],  # mutable-ok: injected callback receives the mutable cost-map dict
 ) -> None:
     try:
         first_wait: Final = _next_retry_wait(outcome=first_outcome, attempt=1, max_attempts=max_attempts, rng=rng)
@@ -602,12 +571,20 @@ def _retry_remote_fetch_in_background(
             )
             return
         _litellm_import_complete.wait()
-        accepted: Final = _accept_remote(result, url)
-        if accepted is None:
-            _cost_map_source_info.fallback_reason = "Remote data failed integrity validation"
+        if not GetModelCostMap.validate_model_cost_map(
+            fetched_map=result.model_cost_map,
+            backup_model_count=GetModelCostMap._get_backup_model_count(),  # pyright: ignore[reportPrivateUsage]  # integrity cache
+        ):
+            verbose_logger.warning(
+                "LiteLLM: Fetched model cost map failed integrity check. Using local backup instead. url=%s",
+                url,
+            )
             return
-        apply(accepted)
+        finalized: Final = _finalize_loaded_model_cost_map(result).model_cost_map
+        _cost_map_source_info.source = "remote"
+        _cost_map_source_info.fallback_reason = None
         _cost_map_source_info.loaded_at = datetime.now(timezone.utc)
+        adopt_model_cost_map(finalized)
     except Exception as e:
         verbose_logger.warning("LiteLLM: Background model cost map retry failed: %s", e)
 
@@ -619,19 +596,12 @@ def get_model_cost_map(
     sleep: Callable[[float], None] = time.sleep,
     rng: random.Random | None = None,
     client: "_SyncGetClient | None" = None,
-    start_background: Callable[[Callable[[], None]], None] = _start_daemon_thread,
-    apply: Callable[  # mutable-ok: injected callback receives the mutable cost-map dict
-        [dict],
-        object,
-    ] = adopt_model_cost_map,
 ) -> dict:
     """
     Public entry point — returns the model cost map dict.
 
     1. If ``LITELLM_LOCAL_MODEL_COST_MAP`` is set, uses the local backup only.
-    2. Otherwise fetches from ``url``, validates the first response, and falls
-       back to the local backup while retrying transient HTTP errors in the
-       background.
+    2. Otherwise fetches from ``url``, retrying transient errors in a background thread.
 
     Only the backup model count is cached (a single int) for validation.
     The full backup dict is only parsed when it must be *returned* as a
@@ -641,9 +611,11 @@ def get_model_cost_map(
     # Note: can't use get_secret_bool here — this runs during litellm.__init__
     # before litellm._key_management_settings is set.
     if os.getenv("LITELLM_LOCAL_MODEL_COST_MAP", "").lower() == "true":
+        _cost_map_source_info.source = "local"
         _cost_map_source_info.url = None
         _cost_map_source_info.is_env_forced = True
-        return _use_local_backup(None)
+        _cost_map_source_info.fallback_reason = None
+        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
 
     _cost_map_source_info.url = url
     _cost_map_source_info.is_env_forced = False
@@ -651,32 +623,45 @@ def get_model_cost_map(
     fetch_client: Final = client if client is not None else httpx
     fetch_rng: Final = rng if rng is not None else random.Random()
     outcome: Final = _attempt_fetch_sync(client=fetch_client, url=url, timeout=timeout)
-    if isinstance(outcome, ModelCostMapReloaded):
-        accepted: Final = _accept_remote(outcome, url)
-        return accepted if accepted is not None else _use_local_backup("Remote data failed integrity validation")
     if isinstance(outcome, _FetchAttemptRetryable) and max_attempts > 1:
-        verbose_logger.warning(
-            "LiteLLM: model cost map fetch attempt 1/%d failed: %s; "
-            "using local backup while retrying in the background",
-            max_attempts,
-            outcome.reason,
-        )
-        start_background(
-            lambda: _retry_remote_fetch_in_background(
-                url=url,
-                timeout=timeout,
-                max_attempts=max_attempts,
-                sleep=sleep,
-                rng=fetch_rng,
-                client=fetch_client,
-                first_outcome=outcome,
-                apply=apply,
-            )
-        )
-    else:
+        threading.Thread(
+            target=_retry_remote_fetch_in_background,
+            kwargs={  # mutable-ok: threading requires a mutable keyword-arguments mapping
+                "url": url,
+                "timeout": timeout,
+                "max_attempts": max_attempts,
+                "sleep": sleep,
+                "rng": fetch_rng,
+                "client": fetch_client,
+                "first_outcome": outcome,
+            },
+            name="litellm-model-cost-map-retry",
+            daemon=True,
+        ).start()
+    if not isinstance(outcome, ModelCostMapReloaded):
         verbose_logger.warning(
             "LiteLLM: Failed to fetch remote model cost map from %s: %s. Falling back to local backup.",
             url,
             outcome.reason,
         )
-    return _use_local_backup(f"Remote fetch failed: {outcome.reason}")
+        _cost_map_source_info.source = "local"
+        _cost_map_source_info.fallback_reason = f"Remote fetch failed: {outcome.reason}"
+        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
+    content: Final = outcome.model_cost_map
+
+    # Validate using cached count (cheap int comparison, no file I/O)
+    if not GetModelCostMap.validate_model_cost_map(
+        fetched_map=content,
+        backup_model_count=GetModelCostMap._get_backup_model_count(),
+    ):
+        verbose_logger.warning(
+            "LiteLLM: Fetched model cost map failed integrity check. Using local backup instead. url=%s",
+            url,
+        )
+        _cost_map_source_info.source = "local"
+        _cost_map_source_info.fallback_reason = "Remote data failed integrity validation"
+        return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map
+
+    _cost_map_source_info.source = "remote"
+    _cost_map_source_info.fallback_reason = None
+    return _finalize_loaded_model_cost_map(outcome).model_cost_map
diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index e39658a8f37..266c2ca1465 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -6,6 +6,7 @@ count actual model entries, not reserved meta keys) and the extraction of the
 
 import json
 import os
+import threading
 
 import pytest
 
@@ -20,7 +21,6 @@ from litellm.litellm_core_utils.get_model_cost_map import (
     GetModelCostMap,
     _count_model_entries,
     _finalize_model_cost_map,
-    adopt_model_cost_map,
     get_model_cost_map_provenance,
     git_blob_id,
 )
@@ -566,194 +566,125 @@ from litellm.litellm_core_utils.get_model_cost_map import (
 class _SyncSleepRecorder:
     """Injected in place of time.sleep so the boot path's waits are asserted without delay."""
 
-    def __init__(self):
+    def __init__(self, block=False):
         self.waits = []
+        self.block = block
+        self.started = threading.Event()
+        self.release = threading.Event()
 
     def __call__(self, seconds: float) -> None:
+        if self.block:
+            self.started.set()
+            self.release.wait(timeout=10)
         self.waits.append(seconds)
 
 
-class _BackgroundRecorder:
-    def __init__(self):
-        self.callbacks = []
-
-    def __call__(self, callback):
-        self.callbacks.append(callback)
+def _retry_threads():
+    return [thread for thread in threading.enumerate() if thread.name == "litellm-model-cost-map-retry"]
 
 
-def test_boot_load_returns_local_map_and_schedules_transient_retry():
-    client, calls = _mock_client(
-        [
-            httpx.ConnectError("connection refused"),
-        ],
-        client_cls=httpx.Client,
-    )
-    sleeper = _SyncSleepRecorder()
-    background = _BackgroundRecorder()
-
-    cost_map = get_model_cost_map(
-        url=_URL,
-        sleep=sleeper,
-        rng=random.Random(0),
-        client=client,
-        start_background=background,
-    )
-    assert calls["count"] == 1
-    assert sleeper.waits == []
-    assert len(background.callbacks) == 1
-    assert len(cost_map) > 100
-    source = get_model_cost_map_source_info()
-    assert source["source"] == "local"
-    assert source["fallback_reason"] is not None
-
-
-def test_background_retry_adopts_valid_remote_map():
-    client, calls = _mock_client(
-        [
-            httpx.ConnectError("connection refused"),
-            httpx.Response(200, content=_real_map_bytes()),
-        ],
-        client_cls=httpx.Client,
-    )
-    sleeper = _SyncSleepRecorder()
-    background = _BackgroundRecorder()
-    applied = []
-
-    get_model_cost_map(
-        url=_URL,
-        sleep=sleeper,
-        rng=random.Random(0),
-        client=client,
-        start_background=background,
-        apply=applied.append,
-    )
-    assert calls["count"] == 1
-    assert sleeper.waits == []
-    assert len(background.callbacks) == 1
-
-    background.callbacks[0]()
-
-    assert calls["count"] == 2
-    assert len(sleeper.waits) == 1
-    assert 2.0 <= sleeper.waits[0] < 3.0
-    assert len(applied) == 1
-    assert applied[0].keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY}
-    source = get_model_cost_map_source_info()
-    assert source["source"] == "remote"
-    assert source["fallback_reason"] is None
-
-
-def test_background_retry_keeps_local_map_after_remaining_failures():
-    client, calls = _mock_client(
-        [httpx.ConnectError("connection refused"), httpx.Response(503)],
-        client_cls=httpx.Client,
-    )
-    sleeper = _SyncSleepRecorder()
-    background = _BackgroundRecorder()
-    applied = []
-
-    get_model_cost_map(
-        url=_URL,
-        sleep=sleeper,
-        rng=random.Random(0),
-        client=client,
-        start_background=background,
-        apply=applied.append,
-    )
-    background.callbacks[0]()
-
-    assert calls["count"] == 3
-    assert len(sleeper.waits) == 2
-    assert 2.0 <= sleeper.waits[0] < 3.0
-    assert 4.0 <= sleeper.waits[1] < 5.0
-    assert applied == []
-    assert get_model_cost_map_source_info()["source"] == "local"
-
-
-def test_boot_load_does_not_schedule_non_retryable_failure():
-    client, calls = _mock_client([httpx.Response(404)], client_cls=httpx.Client)
-    sleeper = _SyncSleepRecorder()
-    background = _BackgroundRecorder()
-
-    get_model_cost_map(
-        url=_URL,
-        sleep=sleeper,
-        rng=random.Random(0),
-        client=client,
-        start_background=background,
-    )
-
-    assert calls["count"] == 1
-    assert sleeper.waits == []
-    assert background.callbacks == []
-    source = get_model_cost_map_source_info()
-    assert source["source"] == "local"
-    assert source["fallback_reason"] is not None
-
-
-def test_boot_load_success_does_not_schedule_background_retry():
+def test_boot_load_success_does_not_start_background_retry():
     client, calls = _mock_client([httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client)
     sleeper = _SyncSleepRecorder()
-    background = _BackgroundRecorder()
 
     cost_map = get_model_cost_map(
         url=_URL,
         sleep=sleeper,
         rng=random.Random(0),
         client=client,
-        start_background=background,
     )
     assert calls["count"] == 1
     assert sleeper.waits == []
-    assert background.callbacks == []
-    assert get_model_cost_map_source_info()["source"] == "remote"
+    assert _retry_threads() == []
     assert cost_map.keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY}
+    assert get_model_cost_map_source_info()["source"] == "remote"
 
 
-def test_boot_load_with_one_attempt_does_not_schedule_background_retry():
-    client, calls = _mock_client([httpx.ConnectError("connection refused")], client_cls=httpx.Client)
-    sleeper = _SyncSleepRecorder()
-    background = _BackgroundRecorder()
+def test_boot_load_transient_failure_returns_local_then_background_retry_adopts_remote(monkeypatch):
+    import litellm
+    from litellm import utils as litellm_utils
+    from litellm.litellm_core_utils import get_model_cost_map as module
 
-    get_model_cost_map(
+    original_model_cost = litellm.model_cost
+    monkeypatch.setattr(litellm, "model_cost", dict(original_model_cost))
+    for name, provider_models in tuple(vars(litellm).items()):
+        if name.endswith("_models") and isinstance(provider_models, set):
+            monkeypatch.setattr(litellm, name, set(provider_models))
+    monkeypatch.setattr(litellm, "models_by_provider", dict(litellm.models_by_provider))
+    monkeypatch.setattr(
+        litellm_utils,
+        "_runtime_registered_model_cost",
+        dict(litellm_utils._runtime_registered_model_cost),
+    )
+    source_info = module._cost_map_source_info
+    for name in ("source", "url", "is_env_forced", "fallback_reason", "loaded_at", "source_revision", "etag"):
+        monkeypatch.setattr(source_info, name, getattr(source_info, name))
+
+    remote_map = _load_root_cost_map()
+    remote_map["claude-remote-only-test"] = {"litellm_provider": "anthropic", "mode": "chat"}
+    client, calls = _mock_client(
+        [
+            httpx.ConnectError("connection refused"),
+            httpx.Response(200, content=json.dumps(remote_map).encode()),
+        ],
+        client_cls=httpx.Client,
+    )
+    sleeper = _SyncSleepRecorder(block=True)
+    litellm.register_model({"my-runtime-model": {"litellm_provider": "custom", "max_input_tokens": 4321}})
+
+    cost_map = get_model_cost_map(
         url=_URL,
-        max_attempts=1,
+        max_attempts=3,
         sleep=sleeper,
         rng=random.Random(0),
         client=client,
-        start_background=background,
     )
 
     assert calls["count"] == 1
     assert sleeper.waits == []
-    assert background.callbacks == []
-    assert get_model_cost_map_source_info()["source"] == "local"
-
-
-def test_adopt_model_cost_map_replays_runtime_registration_and_provider_models():
-    import litellm
-    from litellm import utils as litellm_utils
-
-    original_model_cost = litellm.model_cost
-    original_registry = dict(litellm_utils._runtime_registered_model_cost)
-    original_anthropic_models = set(litellm.anthropic_models)
+    assert sleeper.started.wait(timeout=10)
+    threads = _retry_threads()
     try:
-        litellm.register_model(
-            model_cost={"custom/deployment-model": {"litellm_provider": "custom", "max_input_tokens": 4321}}
-        )
-
-        models_count = adopt_model_cost_map({"anthropic/new-model": {"litellm_provider": "anthropic", "mode": "chat"}})
-
-        assert models_count == 1
-        assert "anthropic/new-model" in litellm.anthropic_models
-        assert litellm.model_cost["custom/deployment-model"]["max_input_tokens"] == 4321
+        assert len(threads) == 1
+        assert "claude-remote-only-test" not in cost_map
+        assert cost_map.keys() == _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map()).keys()
+        source = get_model_cost_map_source_info()
+        assert source["source"] == "local"
+        assert source["fallback_reason"].startswith("Remote fetch failed:")
+        sleeper.release.set()
+        for thread in threads:
+            thread.join(timeout=10)
+        assert all(not thread.is_alive() for thread in threads)
+        assert sleeper.waits and 2.0 <= sleeper.waits[0] < 3.0
+        assert calls["count"] == 2
+        assert "claude-remote-only-test" in litellm.model_cost
+        assert "claude-remote-only-test" in litellm.anthropic_models
+        assert "my-runtime-model" in litellm.model_cost
+        source = get_model_cost_map_source_info()
+        assert source["source"] == "remote"
+        assert source["fallback_reason"] is None
     finally:
-        litellm.model_cost = original_model_cost  # test-quality-ok: restore the module state changed by adoption
-        litellm_utils._runtime_registered_model_cost.clear()
-        litellm_utils._runtime_registered_model_cost.update(original_registry)
-        litellm.anthropic_models.clear()
-        litellm.anthropic_models.update(original_anthropic_models)
-        litellm_utils._invalidate_model_cost_lowercase_map()
+        sleeper.release.set()
+        for thread in _retry_threads():
+            thread.join(timeout=10)
+
+
+def test_boot_load_does_not_retry_non_retryable_failure():
+    client, calls = _mock_client([httpx.Response(404)], client_cls=httpx.Client)
+    sleeper = _SyncSleepRecorder()
+
+    get_model_cost_map(
+        url=_URL,
+        sleep=sleeper,
+        rng=random.Random(0),
+        client=client,
+    )
+    assert calls["count"] == 1
+    assert sleeper.waits == []
+    assert _retry_threads() == []
+    source = get_model_cost_map_source_info()
+    assert source["source"] == "local"
+    assert source["fallback_reason"] is not None
 
 
 def test_boot_load_respects_local_env_override(monkeypatch):

From 0721163cacfbd9fbfeee5dd25205cb76840111dd Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 22:49:40 -0700
Subject: [PATCH 192/223] test(e2e/ui): cover team-scoped model visibility,
 re-editing litellm params, and model health checks (#40039)

* test(e2e/ui): cover team-scoped model visibility, re-editing litellm params, and model health checks

Three Models and Endpoints flows had no end-to-end coverage, and all three
keep coming back as bug reports.

modelsByTeam walks an internal user through the Current team control and
asserts the table lists exactly what each team grants. It creates one
deployment that belongs to no team, proves that deployment is visible under
Personal, then proves it is absent under both seeded teams, so an empty
table cannot pass the same assertions.

editLitellmParams adds a temperature and a custom pair to a deployment,
saves, then re-edits the temperature and drops the custom pair. It checks
both update request bodies, polls the stored deployment until the new
temperature is there, reloads the page to confirm the second save is what
renders, and sends one chat completion to prove the deployment still serves.

modelHealthStatus runs the health check on a reachable deployment and on one
pointed at a dead port, asserts the healthy and unhealthy cells and the two
detail dialogs, and reloads to confirm both statuses are stored.

Every deployment these specs create carries a unique name and is deleted in
afterEach, including on the failure path.

* test(e2e/ui): find health rows across every page of the health table

The health table pages server-side at 50 rows with no search box, so on a
proxy carrying more deployments than that the two deployments the spec
creates can land on a later page and the lookup finds nothing.

Row lookups now walk the pages, using the table's own page indicator to
know when to advance and when to wrap back to the first page.

* test(e2e/ui): build the created deployment ids without mutating the array

* test(ui): scope model deployments to Playwright fixtures
---
 .../tests/internal-user/modelsByTeam.spec.ts  | 196 ++++++++++++++
 .../modelsPage/editLitellmParams.spec.ts      | 252 ++++++++++++++++++
 .../modelsPage/modelHealthStatus.spec.ts      | 245 +++++++++++++++++
 3 files changed, 693 insertions(+)
 create mode 100644 tests/e2e/ui/tests/internal-user/modelsByTeam.spec.ts
 create mode 100644 tests/e2e/ui/tests/modelsPage/editLitellmParams.spec.ts
 create mode 100644 tests/e2e/ui/tests/modelsPage/modelHealthStatus.spec.ts

diff --git a/tests/e2e/ui/tests/internal-user/modelsByTeam.spec.ts b/tests/e2e/ui/tests/internal-user/modelsByTeam.spec.ts
new file mode 100644
index 00000000000..5e2c80b5845
--- /dev/null
+++ b/tests/e2e/ui/tests/internal-user/modelsByTeam.spec.ts
@@ -0,0 +1,196 @@
+import {
+  test as base,
+  expect,
+  type Locator,
+  type Page as PlaywrightPage,
+} from "@playwright/test";
+import {
+  E2E_TEAM_CRUD_ALIAS,
+  E2E_TEAM_ORG_ALIAS,
+  INTERNAL_USER_STORAGE_PATH,
+} from "../../constants";
+import { Page } from "../../fixtures/pages";
+import { navigateToPage } from "../../helpers/navigation";
+import { readBack } from "../../helpers/roundTrip";
+import { CHAT_MODEL_A, CHAT_MODEL_B, masterKey } from "../../helpers/traffic";
+
+const MOCK_LLM_BASE = `http://127.0.0.1:${process.env.MOCK_LLM_PORT ?? "8090"}/v1`;
+const CURRENT_TEAM_VIEW = "Current Team Models";
+const ALL_MODELS_VIEW = "All Available Models";
+const PERSONAL_TEAM = "Personal";
+
+const teamSelector = (page: PlaywrightPage): Locator =>
+  page.getByRole("combobox", { name: "Current team", exact: true });
+const viewSelector = (page: PlaywrightPage): Locator =>
+  page.getByRole("combobox", { name: "View", exact: true });
+
+async function chooseOption(
+  page: PlaywrightPage,
+  selector: Locator,
+  optionName: string,
+): Promise<void> {
+  await selector.click();
+  const option = page.getByRole("option", { name: optionName, exact: true });
+  await expect(option, `option ${optionName} is offered`).toBeVisible({
+    timeout: 10_000,
+  });
+  await option.click();
+  await expect(
+    selector,
+    `${optionName} is the selection the control now reports`,
+  ).toContainText(optionName, {
+    timeout: 10_000,
+  });
+}
+
+async function deleteDeployment(
+  page: PlaywrightPage,
+  id: string,
+): Promise<void> {
+  const post = () =>
+    page.request.post("/model/delete", {
+      headers: { Authorization: `Bearer ${masterKey()}` },
+      data: { id },
+    });
+  const deleted = await post().catch(() => post());
+  expect(
+    deleted.ok(),
+    `cleanup: /model/delete ${id} returned ${deleted.status()}`,
+  ).toBe(true);
+}
+
+function modelRow(page: PlaywrightPage, modelName: string): Locator {
+  return page.getByRole("row").filter({ hasText: modelName });
+}
+
+async function isRegistered(
+  page: PlaywrightPage,
+  modelName: string,
+): Promise<boolean> {
+  const body = await readBack<{ data: { model_name?: string }[] }>(
+    page,
+    "/v2/model/info",
+  );
+  return body.data.some((row) => row.model_name === modelName);
+}
+
+const uniqueSuffix = (): string =>
+  `${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
+
+const test = base.extend<{ ungrantedModelName: string }>({
+  ungrantedModelName: async ({ page }, use) => {
+    const ungrantedModelName = `e2e-ungranted-${uniqueSuffix()}`;
+    const created = await page.request.post("/model/new", {
+      headers: { Authorization: `Bearer ${masterKey()}` },
+      data: {
+        model_name: ungrantedModelName,
+        litellm_params: {
+          model: `openai/${ungrantedModelName}`,
+          api_base: MOCK_LLM_BASE,
+          api_key: "fake-key",
+        },
+        model_info: {},
+      },
+    });
+    expect(
+      created.ok(),
+      `/model/new failed: ${created.status()} ${await created.text()}`,
+    ).toBe(true);
+    const ungrantedModelId = (await created.json()).model_info?.id;
+    expect(ungrantedModelId, "model id from /model/new").toBeTruthy();
+
+    try {
+      await expect
+        .poll(async () => await isRegistered(page, ungrantedModelName), {
+          message: `deployment ${ungrantedModelName} never appeared in /v2/model/info after create`,
+          timeout: 60_000,
+        })
+        .toBe(true);
+      await use(ungrantedModelName);
+    } finally {
+      await deleteDeployment(page, ungrantedModelId);
+    }
+  },
+});
+
+test.describe("Models and Endpoints for an internal user", () => {
+  test.use({ storageState: INTERNAL_USER_STORAGE_PATH });
+
+  test("shows an internal user exactly the models of the team they select", async ({
+    page,
+    ungrantedModelName,
+  }) => {
+    await navigateToPage(page, Page.Models);
+
+    await expect(
+      page.getByRole("tab", { name: "Your Models" }),
+      "an internal user lands on their own models tab, not an admin-only view",
+    ).toBeVisible({ timeout: 15_000 });
+    await expect(
+      viewSelector(page),
+      "the models table opens scoped to the selected team",
+    ).toContainText(CURRENT_TEAM_VIEW, { timeout: 15_000 });
+    await expect(
+      modelRow(page, ungrantedModelName),
+      `the personal view lists ${ungrantedModelName}, so it is on the proxy and reachable from this page`,
+    ).toHaveCount(1, { timeout: 30_000 });
+
+    await chooseOption(page, teamSelector(page), E2E_TEAM_CRUD_ALIAS);
+    await expect(
+      modelRow(page, CHAT_MODEL_A),
+      `${E2E_TEAM_CRUD_ALIAS} lists ${CHAT_MODEL_A}`,
+    ).toHaveCount(1, {
+      timeout: 15_000,
+    });
+    await expect(
+      modelRow(page, CHAT_MODEL_B),
+      `${E2E_TEAM_CRUD_ALIAS} lists ${CHAT_MODEL_B}`,
+    ).toHaveCount(1, {
+      timeout: 15_000,
+    });
+    await expect(
+      modelRow(page, ungrantedModelName),
+      `${ungrantedModelName} is on the proxy but not granted to ${E2E_TEAM_CRUD_ALIAS}, so it must not be listed`,
+    ).toHaveCount(0);
+
+    await chooseOption(page, teamSelector(page), E2E_TEAM_ORG_ALIAS);
+    await expect(
+      modelRow(page, CHAT_MODEL_A),
+      `${E2E_TEAM_ORG_ALIAS} lists ${CHAT_MODEL_A}`,
+    ).toHaveCount(1, {
+      timeout: 15_000,
+    });
+    await expect(
+      page.getByTestId("pagination-range"),
+      `${E2E_TEAM_ORG_ALIAS} lists the one model it grants and nothing else`,
+    ).toHaveText("Showing 1-1 of 1", { timeout: 15_000 });
+    await expect(
+      modelRow(page, CHAT_MODEL_B),
+      `${CHAT_MODEL_B} belongs to another team and must not leak into ${E2E_TEAM_ORG_ALIAS}`,
+    ).toHaveCount(0);
+    await expect(
+      modelRow(page, ungrantedModelName),
+      `${ungrantedModelName} is granted to no team and must not leak into ${E2E_TEAM_ORG_ALIAS}`,
+    ).toHaveCount(0);
+
+    await chooseOption(page, viewSelector(page), ALL_MODELS_VIEW);
+    await expect(
+      modelRow(page, CHAT_MODEL_A),
+      `switching to ${ALL_MODELS_VIEW} leaves the table populated rather than blanking it`,
+    ).toHaveCount(1, { timeout: 15_000 });
+
+    await page.reload();
+    await expect(
+      teamSelector(page),
+      "the team selection is not persisted across a reload, so the table returns to the personal view",
+    ).toContainText(PERSONAL_TEAM, { timeout: 15_000 });
+    await expect(
+      viewSelector(page),
+      "the view selection is not persisted across a reload either",
+    ).toContainText(CURRENT_TEAM_VIEW, { timeout: 15_000 });
+    await expect(
+      modelRow(page, ungrantedModelName),
+      "the personal view still renders models after a reload rather than coming back empty",
+    ).toHaveCount(1, { timeout: 30_000 });
+  });
+});
diff --git a/tests/e2e/ui/tests/modelsPage/editLitellmParams.spec.ts b/tests/e2e/ui/tests/modelsPage/editLitellmParams.spec.ts
new file mode 100644
index 00000000000..4480515ae59
--- /dev/null
+++ b/tests/e2e/ui/tests/modelsPage/editLitellmParams.spec.ts
@@ -0,0 +1,252 @@
+import {
+  test as base,
+  expect,
+  type Page as PlaywrightPage,
+} from "@playwright/test";
+import { ADMIN_STORAGE_PATH } from "../../constants";
+import { Page } from "../../fixtures/pages";
+import { navigateToPage } from "../../helpers/navigation";
+import { captureRequestBody, readBack } from "../../helpers/roundTrip";
+import { masterKey, sendChatCompletion } from "../../helpers/traffic";
+
+const MOCK_LLM_BASE = `http://127.0.0.1:${process.env.MOCK_LLM_PORT ?? "8090"}/v1`;
+const CUSTOM_PARAM = "extra_headers";
+const CUSTOM_PARAM_VALUE = { "X-E2E-Edit-Probe": "one" };
+
+type StoredParams = Record<string, unknown>;
+
+async function readStoredParams(
+  page: PlaywrightPage,
+  modelId: string,
+): Promise<StoredParams> {
+  const body = await readBack<{ data: { litellm_params: StoredParams }[] }>(
+    page,
+    `/model/info?litellm_model_id=${modelId}`,
+  );
+  return body.data[0]?.litellm_params ?? {};
+}
+
+function paramsEditor(page: PlaywrightPage) {
+  return page.getByPlaceholder('"rpm": 100');
+}
+
+async function editParams(
+  page: PlaywrightPage,
+  mutate: (params: StoredParams) => StoredParams,
+): Promise<void> {
+  await page.getByRole("button", { name: "Edit Settings" }).click();
+  const editor = paramsEditor(page);
+  await expect(
+    editor,
+    "the LiteLLM Params editor is reachable on every visit to the edit form",
+  ).toBeVisible({
+    timeout: 15_000,
+  });
+  const shown = JSON.parse(await editor.inputValue()) as StoredParams;
+  await editor.fill(JSON.stringify(mutate(shown), null, 2));
+}
+
+async function deleteDeployment(
+  page: PlaywrightPage,
+  id: string,
+): Promise<void> {
+  const post = () =>
+    page.request.post("/model/delete", {
+      headers: { Authorization: `Bearer ${masterKey()}` },
+      data: { id },
+    });
+  const deleted = await post().catch(() => post());
+  expect(
+    deleted.ok(),
+    `cleanup: /model/delete ${id} returned ${deleted.status()}`,
+  ).toBe(true);
+}
+
+const uniqueSuffix = (): string =>
+  `${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
+
+const test = base.extend<{
+  deployment: { readonly modelName: string; readonly createdModelId: string };
+}>({
+  deployment: async ({ page, request }, use) => {
+    const modelName = `e2e-edit-params-${uniqueSuffix()}`;
+    const created = await page.request.post("/model/new", {
+      headers: { Authorization: `Bearer ${masterKey()}` },
+      data: {
+        model_name: modelName,
+        litellm_params: {
+          model: `openai/${modelName}`,
+          api_base: MOCK_LLM_BASE,
+          api_key: "fake-key",
+        },
+        model_info: {},
+      },
+    });
+    expect(
+      created.ok(),
+      `/model/new failed: ${created.status()} ${await created.text()}`,
+    ).toBe(true);
+    const createdModelId = (await created.json()).model_info?.id;
+    expect(createdModelId, "model id from /model/new").toBeTruthy();
+
+    try {
+      await expect
+        .poll(
+          async () => {
+            try {
+              await sendChatCompletion(request, {
+                model: modelName,
+                prompt: `warmup ${modelName}`,
+              });
+              return true;
+            } catch {
+              return false;
+            }
+          },
+          {
+            message: `deployment ${modelName} never became routable after /model/new`,
+            timeout: 60_000,
+          },
+        )
+        .toBe(true);
+      await use({ modelName, createdModelId });
+    } finally {
+      await deleteDeployment(page, createdModelId);
+    }
+  },
+});
+
+test.describe("Edit LiteLLM Params on a deployment", () => {
+  test.use({ storageState: ADMIN_STORAGE_PATH });
+
+  test("params added on a deployment can be re-edited, and the deployment keeps serving", async ({
+    page,
+    request,
+    deployment: { modelName, createdModelId },
+  }) => {
+    await navigateToPage(page, Page.Models);
+    const modelIdCell = page.getByTestId(`model-id-${createdModelId}`);
+    await expect(
+      modelIdCell,
+      `the Models table lists ${modelName}`,
+    ).toBeVisible({ timeout: 15_000 });
+    await modelIdCell.click();
+    await expect(page.getByText("Back to Models").first()).toBeVisible({
+      timeout: 15_000,
+    });
+
+    await editParams(page, (params) => ({
+      ...params,
+      temperature: 0.2,
+      [CUSTOM_PARAM]: CUSTOM_PARAM_VALUE,
+    }));
+    const firstSave = await captureRequestBody(
+      page,
+      { method: "PATCH", urlIncludes: `/model/${createdModelId}/update` },
+      async () => {
+        await page.getByRole("button", { name: "Save Changes" }).click();
+      },
+    );
+    expect(
+      firstSave.litellm_params?.temperature,
+      "the added temperature goes on the wire",
+    ).toBe(0.2);
+    expect(
+      firstSave.litellm_params?.[CUSTOM_PARAM],
+      `the added ${CUSTOM_PARAM} goes on the wire`,
+    ).toEqual(CUSTOM_PARAM_VALUE);
+    expect(
+      firstSave.litellm_params?.model,
+      "a params edit does not rewrite the upstream model",
+    ).toBe(`openai/${modelName}`);
+    expect(
+      firstSave.litellm_params?.api_base,
+      "a params edit does not rewrite the api base",
+    ).toBe(MOCK_LLM_BASE);
+    expect(
+      firstSave.litellm_params,
+      "the credential is never re-sent, so a masked placeholder cannot overwrite the stored key",
+    ).not.toHaveProperty("api_key");
+
+    await expect
+      .poll(
+        async () => (await readStoredParams(page, createdModelId)).temperature,
+        {
+          message: "the added temperature never reached the stored deployment",
+          timeout: 20_000,
+        },
+      )
+      .toBe(0.2);
+    const afterFirstSave = await readStoredParams(page, createdModelId);
+    expect(
+      afterFirstSave[CUSTOM_PARAM],
+      `the added ${CUSTOM_PARAM} reached the stored deployment`,
+    ).toEqual(CUSTOM_PARAM_VALUE);
+    expect(
+      afterFirstSave.model,
+      "the stored upstream model survived the edit",
+    ).toBe(`openai/${modelName}`);
+    expect(
+      afterFirstSave.api_base,
+      "the stored api base survived the edit",
+    ).toBe(MOCK_LLM_BASE);
+
+    await editParams(page, (params) => ({
+      ...Object.fromEntries(
+        Object.entries(params).filter(([key]) => key !== CUSTOM_PARAM),
+      ),
+      temperature: 0.7,
+    }));
+    const secondSave = await captureRequestBody(
+      page,
+      { method: "PATCH", urlIncludes: `/model/${createdModelId}/update` },
+      async () => {
+        await page.getByRole("button", { name: "Save Changes" }).click();
+      },
+    );
+    expect(
+      secondSave.litellm_params?.temperature,
+      "a param set by an earlier save can be edited again",
+    ).toBe(0.7);
+    expect(
+      secondSave.litellm_params,
+      `dropping ${CUSTOM_PARAM} from the editor drops it from the request the UI sends`,
+    ).not.toHaveProperty(CUSTOM_PARAM);
+    expect(
+      secondSave.litellm_params?.model,
+      "a second params edit still leaves the upstream model alone",
+    ).toBe(`openai/${modelName}`);
+    expect(
+      secondSave.litellm_params?.api_base,
+      "a second params edit still leaves the api base alone",
+    ).toBe(MOCK_LLM_BASE);
+    expect(
+      secondSave.litellm_params,
+      "the credential is still never re-sent",
+    ).not.toHaveProperty("api_key");
+
+    await expect
+      .poll(
+        async () => (await readStoredParams(page, createdModelId)).temperature,
+        {
+          message:
+            "the re-edited temperature never reached the stored deployment",
+          timeout: 20_000,
+        },
+      )
+      .toBe(0.7);
+
+    await page.reload();
+    await expect(
+      page
+        .getByRole("tabpanel", { name: "Overview" })
+        .getByText('"temperature": 0.7'),
+      "reopening the deployment renders the re-edited value, not the one from the first save",
+    ).toBeVisible({ timeout: 20_000 });
+
+    await sendChatCompletion(request, {
+      model: modelName,
+      prompt: `still serving ${modelName}`,
+    });
+  });
+});
diff --git a/tests/e2e/ui/tests/modelsPage/modelHealthStatus.spec.ts b/tests/e2e/ui/tests/modelsPage/modelHealthStatus.spec.ts
new file mode 100644
index 00000000000..247cce1b85d
--- /dev/null
+++ b/tests/e2e/ui/tests/modelsPage/modelHealthStatus.spec.ts
@@ -0,0 +1,245 @@
+import {
+  test as base,
+  expect,
+  type Locator,
+  type Page as PlaywrightPage,
+} from "@playwright/test";
+import { ADMIN_STORAGE_PATH } from "../../constants";
+import { Page } from "../../fixtures/pages";
+import { navigateToPage } from "../../helpers/navigation";
+import { readBack } from "../../helpers/roundTrip";
+import { masterKey } from "../../helpers/traffic";
+
+const MOCK_LLM_BASE = `http://127.0.0.1:${process.env.MOCK_LLM_PORT ?? "8090"}/v1`;
+const UNREACHABLE_BASE = "http://127.0.0.1:9/v1";
+
+async function isRegistered(
+  page: PlaywrightPage,
+  modelName: string,
+): Promise<boolean> {
+  const body = await readBack<{ data: { model_name?: string }[] }>(
+    page,
+    "/v2/model/info",
+  );
+  return body.data.some((row) => row.model_name === modelName);
+}
+
+function healthRow(page: PlaywrightPage, modelName: string): Locator {
+  return page.getByRole("row").filter({ hasText: modelName });
+}
+
+function pageOf(label: string): { current: number; total: number } {
+  const [current, total] = label
+    .replace("Page ", "")
+    .split(" of ")
+    .map((part) => Number(part.trim()));
+  return { current, total };
+}
+
+async function locateHealthRow(
+  page: PlaywrightPage,
+  modelName: string,
+): Promise<Locator> {
+  const pageLabel = page.getByTestId("pagination-page");
+  await expect(
+    pageLabel,
+    "the health table reports which page it is showing",
+  ).toBeVisible({ timeout: 20_000 });
+
+  const deadline = Date.now() + 60_000;
+  while (Date.now() < deadline) {
+    const row = healthRow(page, modelName);
+    const onThisPage = await row
+      .first()
+      .waitFor({ state: "visible", timeout: 3_000 })
+      .then(() => true)
+      .catch(() => false);
+    if (onThisPage) return row;
+
+    const { current, total } = pageOf(await pageLabel.innerText());
+    const goTo = current < total ? current + 1 : 1;
+    if (total === 1) continue;
+    await page
+      .getByRole("button", {
+        name: current < total ? "Go to next page" : "Go to first page",
+      })
+      .click();
+    await expect(pageLabel).toContainText(`Page ${goTo} of`, {
+      timeout: 15_000,
+    });
+  }
+  return healthRow(page, modelName);
+}
+
+async function openHealthTab(page: PlaywrightPage): Promise<void> {
+  await page.getByRole("tab", { name: "Health Status" }).click();
+  await expect(
+    page.getByRole("heading", { name: "Model Health Status" }),
+  ).toBeVisible({ timeout: 15_000 });
+}
+
+async function expectStatus(
+  page: PlaywrightPage,
+  modelName: string,
+  status: string,
+): Promise<void> {
+  const row = await locateHealthRow(page, modelName);
+  await expect(row, `${modelName} has one row in the health table`).toHaveCount(
+    1,
+    { timeout: 20_000 },
+  );
+  await expect(
+    row.getByText(status, { exact: true }),
+    `the Health Status cell for ${modelName} reads ${status}`,
+  ).toHaveCount(1, { timeout: 60_000 });
+}
+
+async function deleteDeployment(
+  page: PlaywrightPage,
+  id: string,
+): Promise<void> {
+  const post = () =>
+    page.request.post("/model/delete", {
+      headers: { Authorization: `Bearer ${masterKey()}` },
+      data: { id },
+    });
+  const deleted = await post().catch(() => post());
+  expect(
+    deleted.ok(),
+    `cleanup: /model/delete ${id} returned ${deleted.status()}`,
+  ).toBe(true);
+}
+
+const uniqueSuffix = (): string =>
+  `${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
+
+async function withDeployment(
+  page: PlaywrightPage,
+  prefix: string,
+  apiBase: string,
+  use: (name: string) => Promise<void>,
+): Promise<void> {
+  const name = `${prefix}-${uniqueSuffix()}`;
+  const created = await page.request.post("/model/new", {
+    headers: { Authorization: `Bearer ${masterKey()}` },
+    data: {
+      model_name: name,
+      litellm_params: {
+        model: `openai/${name}`,
+        api_base: apiBase,
+        api_key: "fake-key",
+      },
+      model_info: {},
+    },
+  });
+  expect(
+    created.ok(),
+    `/model/new for ${name} failed: ${created.status()} ${await created.text()}`,
+  ).toBe(true);
+  const id = (await created.json()).model_info?.id;
+  expect(id, `model id from /model/new for ${name}`).toBeTruthy();
+  try {
+    await expect
+      .poll(() => isRegistered(page, name), {
+        message: `deployment ${name} never appeared in /v2/model/info after create`,
+        timeout: 60_000,
+      })
+      .toBe(true);
+    await use(name);
+  } finally {
+    await deleteDeployment(page, id);
+  }
+}
+
+const test = base.extend<{ reachableName: string; unreachableName: string }>({
+  reachableName: async ({ page }, use) => {
+    await withDeployment(page, "e2e-health-up", MOCK_LLM_BASE, use);
+  },
+  unreachableName: async ({ page }, use) => {
+    await withDeployment(page, "e2e-health-down", UNREACHABLE_BASE, use);
+  },
+});
+
+test.describe("Model health status", () => {
+  test.use({ storageState: ADMIN_STORAGE_PATH });
+
+  test("Run Health Check reports a reachable deployment healthy and an unreachable one unhealthy", async ({
+    page,
+    reachableName,
+    unreachableName,
+  }) => {
+    await navigateToPage(page, Page.Models);
+    await openHealthTab(page);
+
+    for (const name of [reachableName, unreachableName]) {
+      const row = await locateHealthRow(page, name);
+      await expect(row, `${name} has one row in the health table`).toHaveCount(
+        1,
+        { timeout: 20_000 },
+      );
+      await row
+        .getByRole("button", { name: "Run Health Check", exact: true })
+        .click();
+    }
+
+    await expectStatus(page, reachableName, "healthy");
+    await expect(
+      healthRow(page, reachableName).getByText("unhealthy", { exact: true }),
+      "a reachable deployment is never reported unhealthy",
+    ).toHaveCount(0);
+    await expectStatus(page, unreachableName, "unhealthy");
+
+    const successDetail = (
+      await locateHealthRow(page, reachableName)
+    ).getByRole("button", {
+      name: "View response details",
+    });
+    await expect(
+      successDetail,
+      `${reachableName} offers its health check response for inspection`,
+    ).toBeVisible({ timeout: 60_000 });
+    await successDetail.click();
+    const successDialog = page.getByRole("dialog");
+    await expect(
+      successDialog.getByRole("heading", {
+        name: `Health Check Response - ${reachableName}`,
+      }),
+      "the healthy deployment's detail opens its own response dialog",
+    ).toBeVisible({ timeout: 10_000 });
+    await successDialog.getByRole("button", { name: "Close" }).last().click();
+    await expect(successDialog).toBeHidden({ timeout: 10_000 });
+
+    const errorDetail = (
+      await locateHealthRow(page, unreachableName)
+    ).getByRole("button", {
+      name: "View full error details",
+    });
+    await expect(
+      errorDetail,
+      `${unreachableName} offers its health check error for inspection`,
+    ).toBeVisible({ timeout: 60_000 });
+    await errorDetail.click();
+    const errorDialog = page.getByRole("dialog");
+    await expect(
+      errorDialog.getByRole("heading", {
+        name: `Health Check Error - ${unreachableName}`,
+      }),
+      "the unreachable deployment's detail opens its own error dialog",
+    ).toBeVisible({ timeout: 10_000 });
+    await expect(
+      errorDialog,
+      "the error dialog carries the upstream connection failure, not a generic message",
+    ).toContainText(/connection error/i, { timeout: 10_000 });
+    await expect(
+      errorDialog,
+      "the error dialog names the endpoint that could not be reached",
+    ).toContainText(UNREACHABLE_BASE);
+    await errorDialog.getByRole("button", { name: "Close" }).last().click();
+    await expect(errorDialog).toBeHidden({ timeout: 10_000 });
+
+    await page.reload();
+    await openHealthTab(page);
+    await expectStatus(page, reachableName, "healthy");
+    await expectStatus(page, unreachableName, "unhealthy");
+  });
+});

From b3151073d2a8ee274fd067c1d4cfb17da0a82459 Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 22:49:54 -0700
Subject: [PATCH 193/223] test(e2e/ui): cover key budget window, non-admin
 model scope edit, and key blocking (#40027)

* test(e2e/ui): cover key budget window, non-admin model scope edit, and key blocking

Three Playwright specs for the Virtual Keys flows customers hit most, each
reading its result back through /key/info and /v1/chat/completions rather
than trusting the toast:

- a monthly spend cap and reset window set through Edit Settings, surviving
  a reload, with clearing the window leaving the cap in place
- a team member narrowing their own team key's models, and the proxy
  refusing the model they dropped
- blocking a key from its detail page, then unblocking it

Each test owns the key it edits and deletes it on teardown, so retries and
--repeat-each never run out of fixtures.

* test(e2e/ui): tighten virtual key specs from review feedback

Replace the mutable suite-level key state with a Playwright fixture, so the
alias and token are never reassigned and cleanup stays tied to the test.

Assert /key/delete succeeded instead of discarding the response, so a failed
cleanup surfaces rather than leaving rows behind.

Drop the explanatory JSDoc the repo's comment policy disallows, keeping only
the one line explaining why Date.now() alone is not unique enough.

Type the master-key POST helper against a real guard instead of casting to
Record<string, any>.

Assert the unblocked key is served with a 200, not just the response text,
and that clearing the reset window also clears budget_reset_at.

* test(ui): assert the team response through Playwright
---
 tests/e2e/ui/helpers/navigation.ts            |  10 +
 tests/e2e/ui/helpers/traffic.ts               |  51 ++++-
 .../internalUserKeyScope.spec.ts              | 208 ++++++++++++++++++
 .../ui/tests/proxy-admin/keyBlocking.spec.ts  | 112 ++++++++++
 .../tests/proxy-admin/keyBudgetWindow.spec.ts | 101 +++++++++
 5 files changed, 478 insertions(+), 4 deletions(-)
 create mode 100644 tests/e2e/ui/tests/internal-user/internalUserKeyScope.spec.ts
 create mode 100644 tests/e2e/ui/tests/proxy-admin/keyBlocking.spec.ts
 create mode 100644 tests/e2e/ui/tests/proxy-admin/keyBudgetWindow.spec.ts

diff --git a/tests/e2e/ui/helpers/navigation.ts b/tests/e2e/ui/helpers/navigation.ts
index 4a7c4e7baa9..e0e7b4da396 100644
--- a/tests/e2e/ui/helpers/navigation.ts
+++ b/tests/e2e/ui/helpers/navigation.ts
@@ -73,3 +73,13 @@ export async function clickTeamId(page: PlaywrightPage, teamId: string): Promise
   await cell.click();
   await expect(page.getByText("Back to Teams")).toBeVisible({ timeout: 10_000 });
 }
+
+export async function openKeyDetail(page: PlaywrightPage, alias: string): Promise<void> {
+  await page.getByPlaceholder("Search by key alias or ID").fill(alias);
+  const row = page.getByRole("row").filter({ hasText: alias });
+  await expect(row, `key row "${alias}" never appeared on the Virtual Keys page`).toBeVisible({ timeout: 15_000 });
+  await row.getByRole("button", { name: alias }).click();
+  await expect(page.getByText("Back to Keys"), `key detail for "${alias}" never opened`).toBeVisible({
+    timeout: 15_000,
+  });
+}
diff --git a/tests/e2e/ui/helpers/traffic.ts b/tests/e2e/ui/helpers/traffic.ts
index 7f8417cdffb..cb68747b364 100644
--- a/tests/e2e/ui/helpers/traffic.ts
+++ b/tests/e2e/ui/helpers/traffic.ts
@@ -1,4 +1,4 @@
-import { APIRequestContext, expect } from "@playwright/test";
+import { APIRequestContext, APIResponse, expect } from "@playwright/test";
 
 /** Model names served by fixtures/config.yml, both backed by the mock LLM server. */
 export const CHAT_MODEL_A = "fake-openai-gpt-4";
@@ -15,6 +15,9 @@ export const masterKey = (): string => process.env.LITELLM_MASTER_KEY || "sk-123
 
 export const rootPath = (): string => process.env.SERVER_ROOT_PATH ?? "";
 
+/** Date.now() alone collides: `--repeat-each` starts its copies inside the same millisecond. */
+export const uniqueSuffix = (): string => `${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
+
 interface ChatOptions {
   model: string;
   prompt: string;
@@ -25,9 +28,8 @@ interface ChatOptions {
   traceId?: string;
 }
 
-/** POST /v1/chat/completions and return the completion id (the Logs Request ID). */
-export async function sendChatCompletion(request: APIRequestContext, opts: ChatOptions): Promise<string> {
-  const res = await request.post(`${rootPath()}/v1/chat/completions`, {
+const postChatCompletion = (request: APIRequestContext, opts: ChatOptions): Promise<APIResponse> =>
+  request.post(`${rootPath()}/v1/chat/completions`, {
     headers: {
       Authorization: `Bearer ${opts.apiKey ?? masterKey()}`,
       "Content-Type": "application/json",
@@ -39,12 +41,26 @@ export async function sendChatCompletion(request: APIRequestContext, opts: ChatO
       ...(opts.traceId ? { litellm_trace_id: opts.traceId } : {}),
     },
   });
+
+/** POST /v1/chat/completions and return the completion id (the Logs Request ID). */
+export async function sendChatCompletion(request: APIRequestContext, opts: ChatOptions): Promise<string> {
+  const res = await postChatCompletion(request, opts);
   expect(res.ok(), `chat completion for ${opts.model} failed (${res.status()}): ${await res.text()}`).toBe(true);
   const body = await res.json();
   expect(body.choices?.[0]?.message?.content).toContain(MOCK_RESPONSE_TEXT);
   return body.id as string;
 }
 
+export interface ChatAttempt {
+  status: number;
+  body: string;
+}
+
+export async function attemptChatCompletion(request: APIRequestContext, opts: ChatOptions): Promise<ChatAttempt> {
+  const res = await postChatCompletion(request, opts);
+  return { status: res.status(), body: await res.text() };
+}
+
 /** `key` is the sk- value to authenticate with; `token` is its hash, which spend aggregates are keyed by. */
 export async function createVirtualKey(
   request: APIRequestContext,
@@ -66,6 +82,33 @@ export async function createVirtualKey(
   };
 }
 
+export interface KeyInfo {
+  key_alias: string | null;
+  max_budget: number | null;
+  budget_duration: string | null;
+  budget_reset_at: string | null;
+  blocked: boolean | null;
+  models: string[];
+  team_id: string | null;
+}
+
+export async function readKeyInfo(request: APIRequestContext, token: string): Promise<KeyInfo> {
+  const res = await request.get(`${rootPath()}/key/info?key=${encodeURIComponent(token)}`, {
+    headers: { Authorization: `Bearer ${masterKey()}` },
+  });
+  expect(res.ok(), `GET /key/info for ${token} failed (${res.status()}): ${await res.text()}`).toBe(true);
+  const body = await res.json();
+  return body.info as KeyInfo;
+}
+
+export async function deleteVirtualKey(request: APIRequestContext, token: string): Promise<void> {
+  const res = await request.post(`${rootPath()}/key/delete`, {
+    headers: { Authorization: `Bearer ${masterKey()}`, "Content-Type": "application/json" },
+    data: { keys: [token] },
+  });
+  expect(res.ok(), `key delete for ${token} failed (${res.status()}): ${await res.text()}`).toBe(true);
+}
+
 /** Spend logs are flushed on a timer, so an assertion straight after a completion races the writer. */
 export async function waitForSpendLog(
   request: APIRequestContext,
diff --git a/tests/e2e/ui/tests/internal-user/internalUserKeyScope.spec.ts b/tests/e2e/ui/tests/internal-user/internalUserKeyScope.spec.ts
new file mode 100644
index 00000000000..f923841257a
--- /dev/null
+++ b/tests/e2e/ui/tests/internal-user/internalUserKeyScope.spec.ts
@@ -0,0 +1,208 @@
+import { test, expect, type APIRequestContext } from "@playwright/test";
+import { Page } from "../../fixtures/pages";
+import {
+  dismissFeedbackPopup,
+  navigateToPage,
+  openKeyDetail,
+} from "../../helpers/navigation";
+import {
+  CHAT_MODEL_A,
+  CHAT_MODEL_B,
+  MOCK_RESPONSE_TEXT,
+  attemptChatCompletion,
+  createVirtualKey,
+  deleteVirtualKey,
+  masterKey,
+  readKeyInfo,
+  rootPath,
+  uniqueSuffix,
+} from "../../helpers/traffic";
+
+const MEMBER_PASSWORD = "E2e-Team-Member-Pass-1!";
+
+interface CreatedTeam {
+  readonly team_id: string;
+}
+
+function assertCreatedTeam(body: unknown): asserts body is CreatedTeam {
+  expect(body, "/team/new returned no team_id").toMatchObject({
+    team_id: expect.any(String),
+  });
+}
+
+async function postAsMaster(
+  request: APIRequestContext,
+  path: string,
+  data: Record<string, unknown>,
+): Promise<unknown> {
+  const res = await request.post(`${rootPath()}${path}`, {
+    headers: {
+      Authorization: `Bearer ${masterKey()}`,
+      "Content-Type": "application/json",
+    },
+    data,
+  });
+  expect(
+    res.ok(),
+    `POST ${path} failed (${res.status()}): ${await res.text()}`,
+  ).toBe(true);
+  return res.json();
+}
+
+test.describe("Internal User - own team key model scope", () => {
+  test.use({ storageState: { cookies: [], origins: [] } });
+
+  test("a team member narrows their own key's models and the proxy enforces it", async ({
+    page,
+    request,
+  }) => {
+    const suffix = uniqueSuffix();
+    const email = `team-member-${suffix}@test.local`;
+    const userId = `e2e-key-scope-user-${suffix}`;
+    const alias = `e2e-key-scope-${suffix}`;
+
+    const team = await postAsMaster(request, "/team/new", {
+      team_alias: `E2E Key Scope ${suffix}`,
+      models: [CHAT_MODEL_A, CHAT_MODEL_B],
+      team_member_permissions: ["/key/generate", "/key/update", "/key/info"],
+    });
+    assertCreatedTeam(team);
+    const teamId = team.team_id;
+
+    try {
+      await postAsMaster(request, "/user/new", {
+        user_id: userId,
+        user_email: email,
+        user_role: "internal_user",
+        auto_create_key: false,
+      });
+      await postAsMaster(request, "/user/update", {
+        user_id: userId,
+        password: MEMBER_PASSWORD,
+      });
+      await postAsMaster(request, "/team/member_add", {
+        team_id: teamId,
+        member: { role: "user", user_id: userId },
+      });
+
+      const created = await createVirtualKey(request, {
+        key_alias: alias,
+        team_id: teamId,
+        user_id: userId,
+        models: [],
+      });
+
+      try {
+        await page.goto("/ui/login");
+        await page.getByPlaceholder("Enter your username").fill(email);
+        await page
+          .getByPlaceholder("Enter your password")
+          .fill(MEMBER_PASSWORD);
+        await page.getByRole("button", { name: "Login", exact: true }).click();
+        await expect(
+          page.locator("a", { hasText: "Virtual Keys" }),
+          `${email} never reached the dashboard`,
+        ).toBeVisible({ timeout: 30_000 });
+        await dismissFeedbackPopup(page);
+
+        await navigateToPage(page, Page.ApiKeys);
+        await openKeyDetail(page, alias);
+
+        await page.getByRole("tab", { name: "Settings" }).click();
+        await page.getByRole("button", { name: "Edit Settings" }).click();
+
+        await page.getByRole("combobox", { name: "Select models" }).click();
+        await expect(
+          page.getByRole("option", { name: CHAT_MODEL_A, exact: true }),
+          `the Models dropdown does not offer ${CHAT_MODEL_A} to a team member`,
+        ).toBeVisible({ timeout: 15_000 });
+        await expect(
+          page.getByRole("option", { name: CHAT_MODEL_B, exact: true }),
+          `the Models dropdown does not offer ${CHAT_MODEL_B} to a team member`,
+        ).toBeVisible();
+
+        await page
+          .getByRole("option", { name: CHAT_MODEL_A, exact: true })
+          .click();
+        await page.keyboard.press("Escape");
+
+        const updated = page.waitForResponse(
+          (res) =>
+            res.url().includes("/key/update") &&
+            res.request().method() === "POST",
+        );
+        await page.getByRole("button", { name: "Save Changes" }).click();
+        const updateStatus = (await updated).status();
+        expect(
+          updateStatus,
+          "a team member's own-key edit was refused",
+        ).toBeGreaterThanOrEqual(200);
+        expect(
+          updateStatus,
+          "a team member's own-key edit was refused",
+        ).toBeLessThan(300);
+        await expect(
+          page.getByText("Key updated successfully").first(),
+        ).toBeVisible({ timeout: 15_000 });
+
+        await expect
+          .poll(
+            async () => (await readKeyInfo(request, created.token)).models,
+            {
+              message: `the narrowed model scope never reached /key/info for ${alias}`,
+              timeout: 20_000,
+            },
+          )
+          .toEqual([CHAT_MODEL_A]);
+
+        await expect
+          .poll(
+            async () =>
+              await attemptChatCompletion(request, {
+                model: CHAT_MODEL_B,
+                prompt: `out of scope ${suffix}`,
+                apiKey: created.key,
+              }),
+            {
+              message: `${CHAT_MODEL_B} was still served after the key was narrowed to ${CHAT_MODEL_A}`,
+              timeout: 30_000,
+            },
+          )
+          .toMatchObject({
+            status: 403,
+            body: expect.stringContaining(CHAT_MODEL_B),
+          });
+
+        const inScope = await attemptChatCompletion(request, {
+          model: CHAT_MODEL_A,
+          prompt: `in scope ${suffix}`,
+          apiKey: created.key,
+        });
+        expect(
+          inScope,
+          `${CHAT_MODEL_A} is no longer served by the narrowed key`,
+        ).toMatchObject({
+          status: 200,
+          body: expect.stringContaining(MOCK_RESPONSE_TEXT),
+        });
+      } finally {
+        await deleteVirtualKey(request, created.token);
+      }
+    } finally {
+      await request.post(`${rootPath()}/user/delete`, {
+        headers: {
+          Authorization: `Bearer ${masterKey()}`,
+          "Content-Type": "application/json",
+        },
+        data: { user_ids: [userId] },
+      });
+      await request.post(`${rootPath()}/team/delete`, {
+        headers: {
+          Authorization: `Bearer ${masterKey()}`,
+          "Content-Type": "application/json",
+        },
+        data: { team_ids: [teamId] },
+      });
+    }
+  });
+});
diff --git a/tests/e2e/ui/tests/proxy-admin/keyBlocking.spec.ts b/tests/e2e/ui/tests/proxy-admin/keyBlocking.spec.ts
new file mode 100644
index 00000000000..99a8065a797
--- /dev/null
+++ b/tests/e2e/ui/tests/proxy-admin/keyBlocking.spec.ts
@@ -0,0 +1,112 @@
+import { test as base, expect } from "@playwright/test";
+import { ADMIN_STORAGE_PATH } from "../../constants";
+import { Page } from "../../fixtures/pages";
+import { dismissFeedbackPopup, navigateToPage, openKeyDetail } from "../../helpers/navigation";
+import {
+  CHAT_MODEL_A,
+  MOCK_RESPONSE_TEXT,
+  attemptChatCompletion,
+  createVirtualKey,
+  deleteVirtualKey,
+  readKeyInfo,
+  sendChatCompletion,
+  uniqueSuffix,
+} from "../../helpers/traffic";
+
+interface ScopedKey {
+  alias: string;
+  token: string;
+  apiKey: string;
+}
+
+const test = base.extend<{ scopedKey: ScopedKey }>({
+  scopedKey: async ({ page }, use) => {
+    const alias = `e2e-block-key-${uniqueSuffix()}`;
+    const created = await createVirtualKey(page.request, {
+      key_alias: alias,
+      models: [CHAT_MODEL_A],
+    });
+    await use({ alias, token: created.token, apiKey: created.key });
+    await deleteVirtualKey(page.request, created.token);
+  },
+});
+
+test.describe("Proxy Admin - Key blocking", () => {
+  test.use({ storageState: ADMIN_STORAGE_PATH });
+
+  test("blocking a key stops it serving and unblocking restores it", async ({ page, scopedKey }) => {
+    const { alias, token, apiKey } = scopedKey;
+
+    await sendChatCompletion(page.request, {
+      model: CHAT_MODEL_A,
+      prompt: `pre-block ${alias}`,
+      apiKey,
+    });
+
+    await navigateToPage(page, Page.ApiKeys);
+    await dismissFeedbackPopup(page);
+    await openKeyDetail(page, alias);
+
+    await page.getByRole("button", { name: "More key actions" }).click();
+    await page.getByRole("menuitem", { name: "Block Key" }).click();
+    const blockDialog = page.getByRole("dialog", { name: "Block Key" });
+    await expect(blockDialog, "the Block Key confirmation never opened").toBeVisible({ timeout: 10_000 });
+    await blockDialog.getByRole("button", { name: "Block", exact: true }).click();
+
+    await expect
+      .poll(async () => (await readKeyInfo(page.request, token)).blocked, {
+        message: "the key never came back blocked from /key/info",
+        timeout: 20_000,
+      })
+      .toBe(true);
+
+    await expect
+      .poll(
+        async () =>
+          await attemptChatCompletion(page.request, {
+            model: CHAT_MODEL_A,
+            prompt: "blocked",
+            apiKey,
+          }),
+        {
+          message: "a blocked key was still served by /v1/chat/completions",
+          timeout: 30_000,
+        },
+      )
+      .toMatchObject({ status: 401, body: expect.stringContaining("blocked") });
+
+    await page.reload();
+    await expect(
+      page.getByText("Blocked", { exact: true }),
+      "the reloaded key detail does not show the key as blocked",
+    ).toBeVisible({ timeout: 15_000 });
+
+    await page.getByRole("button", { name: "More key actions" }).click();
+    await page.getByRole("menuitem", { name: "Unblock Key" }).click();
+    const unblockDialog = page.getByRole("dialog", { name: "Unblock Key" });
+    await expect(unblockDialog, "the Unblock Key confirmation never opened").toBeVisible({ timeout: 10_000 });
+    await unblockDialog.getByRole("button", { name: "Unblock", exact: true }).click();
+
+    await expect
+      .poll(async () => (await readKeyInfo(page.request, token)).blocked, {
+        message: "the key never came back unblocked from /key/info",
+        timeout: 20_000,
+      })
+      .toBe(false);
+
+    await expect
+      .poll(
+        async () =>
+          await attemptChatCompletion(page.request, {
+            model: CHAT_MODEL_A,
+            prompt: "unblocked",
+            apiKey,
+          }),
+        {
+          message: "an unblocked key is still refused by /v1/chat/completions",
+          timeout: 30_000,
+        },
+      )
+      .toMatchObject({ status: 200, body: expect.stringContaining(MOCK_RESPONSE_TEXT) });
+  });
+});
diff --git a/tests/e2e/ui/tests/proxy-admin/keyBudgetWindow.spec.ts b/tests/e2e/ui/tests/proxy-admin/keyBudgetWindow.spec.ts
new file mode 100644
index 00000000000..4e4d0a395c3
--- /dev/null
+++ b/tests/e2e/ui/tests/proxy-admin/keyBudgetWindow.spec.ts
@@ -0,0 +1,101 @@
+import { test as base, expect } from "@playwright/test";
+import { ADMIN_STORAGE_PATH, E2E_TEAM_CRUD_ID } from "../../constants";
+import { Page } from "../../fixtures/pages";
+import { dismissFeedbackPopup, navigateToPage, openKeyDetail } from "../../helpers/navigation";
+import { captureRequestBody } from "../../helpers/roundTrip";
+import { CHAT_MODEL_A, createVirtualKey, deleteVirtualKey, readKeyInfo, uniqueSuffix } from "../../helpers/traffic";
+
+interface ScopedKey {
+  alias: string;
+  token: string;
+}
+
+const test = base.extend<{ scopedKey: ScopedKey }>({
+  scopedKey: async ({ page }, use) => {
+    const alias = `e2e-budget-window-${uniqueSuffix()}`;
+    const created = await createVirtualKey(page.request, {
+      key_alias: alias,
+      team_id: E2E_TEAM_CRUD_ID,
+      models: [CHAT_MODEL_A],
+    });
+    await use({ alias, token: created.token });
+    await deleteVirtualKey(page.request, created.token);
+  },
+});
+
+test.describe("Proxy Admin - Key budget window", () => {
+  test.use({ storageState: ADMIN_STORAGE_PATH });
+
+  test("a monthly spend cap survives a reload, and clearing the window keeps the cap", async ({ page, scopedKey }) => {
+    const { alias, token } = scopedKey;
+
+    const before = await readKeyInfo(page.request, token);
+    expect(before.max_budget, "a freshly generated key starts with no budget").toBeNull();
+
+    await navigateToPage(page, Page.ApiKeys);
+    await dismissFeedbackPopup(page);
+    await openKeyDetail(page, alias);
+
+    await page.getByRole("tab", { name: "Settings" }).click();
+    await page.getByRole("button", { name: "Edit Settings" }).click();
+
+    await page.getByRole("spinbutton", { name: "Max Budget (USD)" }).fill("12.5");
+    await page.getByLabel("Reset Budget", { exact: true }).click();
+    await page.getByRole("option", { name: "monthly", exact: true }).click();
+    await page.getByRole("button", { name: "Save Changes" }).click();
+
+    await expect
+      .poll(async () => (await readKeyInfo(page.request, token)).max_budget, {
+        message: "the $12.50 cap never reached /key/info",
+        timeout: 20_000,
+      })
+      .toBe(12.5);
+    await expect
+      .poll(async () => (await readKeyInfo(page.request, token)).budget_duration, {
+        message: "the monthly reset window never reached /key/info",
+        timeout: 20_000,
+      })
+      .toBe("30d");
+
+    const capped = await readKeyInfo(page.request, token);
+    const resetAt = new Date(capped.budget_reset_at ?? "");
+    expect(Number.isNaN(resetAt.getTime()), "a monthly window left the key with no budget_reset_at").toBe(false);
+    expect(resetAt.getTime(), "budget_reset_at was set in the past").toBeGreaterThan(Date.now());
+    expect(resetAt.getUTCDate(), "a monthly window resets on the 1st, a daily one would not").toBe(1);
+
+    await page.reload();
+    await expect(
+      page.getByRole("paragraph").filter({ hasText: "of $12.50" }),
+      "the reloaded key detail does not render the $12.50 cap",
+    ).toBeVisible({ timeout: 15_000 });
+
+    await page.getByRole("tab", { name: "Settings" }).click();
+    await expect(
+      page.getByTestId("budget-reset-value"),
+      "the reloaded key detail does not name the 30d reset window",
+    ).toHaveText(/Every 30d/, { timeout: 15_000 });
+
+    await page.getByRole("button", { name: "Edit Settings" }).click();
+    await page.getByLabel("Reset Budget", { exact: true }).click();
+    await page.getByRole("option", { name: "Never resets", exact: true }).click();
+
+    const cleared = await captureRequestBody(page, { method: "POST", urlIncludes: "/key/update" }, async () => {
+      await page.getByRole("button", { name: "Save Changes" }).click();
+    });
+    expect(cleared).toHaveProperty("budget_duration");
+    expect(cleared.budget_duration, "clearing the window must send budget_duration: null explicitly").toBeNull();
+
+    await expect
+      .poll(async () => (await readKeyInfo(page.request, token)).budget_duration, {
+        message: "the reset window was never cleared on /key/info",
+        timeout: 20_000,
+      })
+      .toBeNull();
+
+    const after = await readKeyInfo(page.request, token);
+    expect(after.budget_reset_at, "clearing the reset window left a stale next-reset timestamp").toBeNull();
+    expect(after.max_budget, "clearing the reset window also wiped the spend cap").toBe(12.5);
+    expect(after.models, "editing the budget left the key's models untouched").toEqual(before.models);
+    expect(after.team_id, "editing the budget left the key's team untouched").toEqual(before.team_id);
+  });
+});

From 36bd7f113837caadd3f3d400dd246cd4649b7b33 Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 22:50:13 -0700
Subject: [PATCH 194/223] fix(mcp): honor an explicit null on toolset update,
 cover MCP lifecycle e2e (#40022)

* fix(mcp): honor an explicit null on toolset update, cover MCP lifecycle e2e

PUT /v1/mcp/toolset dumped its payload with exclude_none, so a field sent as
null looked exactly like one the caller left out and the stored value
survived. An admin could not clear a toolset's description: the save reported
success and the old text came straight back. It now dumps with exclude_unset,
so absent keeps and null clears, which is what PUT /v1/mcp/server already did.
A null tools list clears the selection to empty, and a null toolset_name is
ignored because a toolset always has a name.

Adds create, read, partial-update, clear and delete e2e coverage for MCP
servers and toolsets, with every read-back polled on every replica so an edit
that lands on one replica and not another fails the test, plus an enforcement
test proving a key granted a toolset lists exactly that toolset's tools
against the real Datadog upstream.

* fix(e2e): refuse a read-back that no replica serves

A read-back over an empty replica mapping satisfied every predicate and
returned as if it had converged, so it would have asserted nothing and
passed. No wiring can produce that today, since the replica list always
falls back to at least one URL, but a helper whose whole job is proving a
write reached every replica should not have a shape that passes vacuously.

* fix(mcp): keep a null tools list a no-op on toolset update

Treating a null tools list as a clear meant an existing client that sends
tools=null during a partial update, meaning "leave the selection alone",
silently lost every tool the toolset grants. That is a permission surface,
so the quiet version of it is the worst version.

A toolset always has a tool list, the same way it always has a name, so a
null on either is now a no-op. Emptying the selection is an explicit [],
which cannot be confused with a field the caller left out, and which is
what the dashboard already sends.

* fix(e2e): keep MCP admin routes on the data plane

/v1/mcp/* is a lazily mounted feature, so a gateway registers it on the first
matching request, which happens after the startup route trim that drops
management endpoints. Routing it to the control plane therefore sent every MCP
call to the one backend process: the new lifecycle read-backs proved a single
process rather than every replica, and mcp_client's await_registered barrier
waited on a registry that does not serve the tools/list call it guards, so the
existing MCP suites polled a gateway that had not synced yet until poll_timeout

Verified against a two-gateway split stack (backend on 4001, gateways on 4010
and 4011, one postgres): both gateways answer /v1/mcp/server and /v1/mcp/toolset,
and each served 6 server reads and 7 toolset reads over the run

* fix(e2e): grant the toolset by the tool's own name, not the wire name

tools/list serves a tool as <prefix><tool_name>, but a toolset grants by the
tool's own name: resolve_toolset_permissions reads toolset.tools[].tool_name
straight through, and the prefix is added on the way out. The test built the
toolset from the names tools/list reported, so the grant matched nothing, the
scoped key listed no tools, and await_tools ran out its whole poll_timeout
before failing

Measure the prefix off search_datadog_logs, whose own name is known, rather than
guessing it from the alias, since the proxy can be configured to prefix with a
short server id instead. The expectation compared against tools/list stays in
wire names; only what the toolset stores crosses back

* test(mcp): build immutable lifecycle updates and replica results

* test: validate opaque stream IDs and hide log-reader credentials

* test: isolate auto-router scenarios and clean partial setup

* test: honor Datadog search rate-limit reset headers

* test: share the Datadog read-back deadline across retries

* test: preserve captured MCP toolset update fields
---
 .../_experimental/mcp_server/toolset_db.py    |  16 +-
 .../mcp_management_endpoints.py               |   4 +
 tests/e2e/coverage_registry/mcp.yaml          |   8 +
 tests/e2e/coverage_registry/mgmt.yaml         |  10 +
 tests/e2e/e2e_http.py                         |  64 +++-
 .../test_responses_bridge_streaming_e2e.py    |  24 +-
 tests/e2e/logging/datadog_reader.py           | 124 +++++---
 tests/e2e/logging/test_datadog_reader.py      | 223 +++++++++++++
 tests/e2e/management/management_client.py     |  35 +++
 .../e2e/management/test_mcp_lifecycle_e2e.py  | 294 ++++++++++++++++++
 tests/e2e/mcp/datadog_mcp.py                  |   7 +-
 tests/e2e/mcp/mcp_client.py                   |  39 ++-
 .../mcp/test_mcp_toolset_enforcement_e2e.py   |  95 ++++++
 tests/e2e/models.py                           |  73 ++++-
 tests/e2e/proxy_client.py                     | 216 ++++++++++++-
 .../test_auto_router_regressions_e2e.py       | 239 +++++++-------
 tests/e2e/test_e2e_http.py                    |  91 +++++-
 tests/e2e/test_proxy_client.py                |  95 +++++-
 .../mcp_server/test_mcp_partial_update.py     |  71 ++++-
 19 files changed, 1501 insertions(+), 227 deletions(-)
 create mode 100644 tests/e2e/logging/test_datadog_reader.py
 create mode 100644 tests/e2e/management/test_mcp_lifecycle_e2e.py
 create mode 100644 tests/e2e/mcp/test_mcp_toolset_enforcement_e2e.py

diff --git a/litellm/proxy/_experimental/mcp_server/toolset_db.py b/litellm/proxy/_experimental/mcp_server/toolset_db.py
index ecaaf35e817..48bad178927 100644
--- a/litellm/proxy/_experimental/mcp_server/toolset_db.py
+++ b/litellm/proxy/_experimental/mcp_server/toolset_db.py
@@ -132,10 +132,18 @@ async def update_mcp_toolset(
     data: UpdateMCPToolsetRequest,
     touched_by: str,
 ) -> MCPToolset | None:
-    data_dict: Final = data.model_dump(exclude_none=True, exclude={"toolset_id"})
-    if "tools" in data_dict:
-        data_dict["tools"] = json.dumps(data_dict["tools"])
-    data_dict["updated_by"] = touched_by
+    """A partial update: absent keeps, null clears. A toolset always has a name and a
+    tool list, so a null ``toolset_name`` or ``tools`` is a no-op rather than a clear;
+    emptying the tool selection is an explicit ``[]``, which cannot be mistaken for a
+    caller that left the field out."""
+    data_dict: Final = dict(  # mutable-ok: Prisma requires a plain dict for JSON query serialization
+        (
+            (field, json.dumps(value) if field == "tools" else value)
+            for field, value in data.model_dump(exclude_unset=True).items()
+            if field != "toolset_id" and (field not in ("toolset_name", "tools") or value is not None)
+        ),
+        updated_by=touched_by,
+    )
     try:
         row: Final = await _toolset_table(prisma_client).update(
             where={"toolset_id": data.toolset_id},
diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py
index d5c3427f29a..2aa7fdc7393 100644
--- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py
@@ -2673,6 +2673,8 @@ if MCP_AVAILABLE:
         """
         Updates the MCP Server in the db.
 
+        Partial update: a field left out of the payload keeps its stored value, and a field sent as null is cleared.
+
         Parameters:
         - payload: UpdateMCPServerRequest - Required. The updated mcp server data.
         ```
@@ -3098,6 +3100,8 @@ if MCP_AVAILABLE:
         user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
         litellm_changed_by: str | None = Header(None),
     ):
+        """Partial update: a field left out keeps its stored value, and a field sent as null is cleared, except
+        ``toolset_name`` and ``tools``, which a toolset always has; empty the tool selection with an explicit []."""
         prisma_client: Final = get_prisma_client_or_throw("Database not connected. Connect a database to your proxy")
         if LitellmUserRoles.PROXY_ADMIN != user_api_key_dict.user_role:
             raise HTTPException(
diff --git a/tests/e2e/coverage_registry/mcp.yaml b/tests/e2e/coverage_registry/mcp.yaml
index ab644118a47..f853e9ff8d6 100644
--- a/tests/e2e/coverage_registry/mcp.yaml
+++ b/tests/e2e/coverage_registry/mcp.yaml
@@ -119,3 +119,11 @@
   assertions: [succeeds]
   source: "server.py:1089"
   rationale: Smoke; rarely used; same auth model as tools
+- id: mcp.list_tools.api_key.toolset_scoped
+  module: mcp
+  tier: P0
+  operation: list_tools
+  auth_family: api_key
+  assertions: [toolset_scoped]
+  source: "user_api_key_auth_mcp.py:2137"
+  rationale: "A key granted a toolset lists exactly the toolset's tools: the rest of the server's catalog stays hidden and every stored name resolves"
diff --git a/tests/e2e/coverage_registry/mgmt.yaml b/tests/e2e/coverage_registry/mgmt.yaml
index 860d96a50b4..c8d7037d2fd 100644
--- a/tests/e2e/coverage_registry/mgmt.yaml
+++ b/tests/e2e/coverage_registry/mgmt.yaml
@@ -76,3 +76,13 @@
 - {id: mgmt.credential_migration.check.happy_path, module: mgmt, tier: P2, surface: api, assertions: [happy_path], source: "key_management_endpoints.py:4252", rationale: "Encryption migration (smoke)"}
 - {id: mgmt.credential.new.serves_request, module: mgmt, tier: P1, surface: api, assertions: [serves_request], source: "credential_endpoints/endpoints.py:42", rationale: "Stored credential resolves into a deployment and serves a live /messages request"}
 - {id: mgmt.model.test_connection.happy_path, module: mgmt, tier: P0, surface: api, assertions: [happy_path], source: "_health_endpoints.py:1785", rationale: "Test Connection for a responses-mode Bedrock Mantle deployment reaches the live provider and reports success; this exact shape 500ed on an acompletion partial before v1.91.0", fail_before_fix: proven}
+- {id: mgmt.mcp_server.new.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:1577", rationale: "Every field of an admin-created MCP server reads back verbatim, by id and in the list, on every replica"}
+- {id: mgmt.mcp_server.list.persists, module: mgmt, tier: P1, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:1112", rationale: "The MCP page grid lists a created server with the same field values its detail view reports"}
+- {id: mgmt.mcp_server.update.preserves_unrelated_fields, module: mgmt, tier: P0, surface: api, assertions: [preserves_unrelated_fields], source: "mcp_management_endpoints.py:2665", rationale: "A dashboard edit of one field leaves the others intact and is visible on every replica after one save; edits that took several saves to stick were a customer defect"}
+- {id: mgmt.mcp_server.update.clear_persists, module: mgmt, tier: P0, surface: api, assertions: [clear_persists], source: "mcp_management_endpoints.py:2665", rationale: "An explicit null clears the stored field (absent keeps, null clears)"}
+- {id: mgmt.mcp_server.delete.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:2139", rationale: "A deleted server is gone by id and from the list on every replica"}
+- {id: mgmt.mcp_toolset.new.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:3009", rationale: "Toolset tools read back under the exact server_id and tool_name written; a toolset stored under one name and read under another granted nothing"}
+- {id: mgmt.mcp_toolset.update.preserves_unrelated_fields, module: mgmt, tier: P0, surface: api, assertions: [preserves_unrelated_fields], source: "mcp_management_endpoints.py:3098", rationale: "Editing the description leaves the tools and name intact"}
+- {id: mgmt.mcp_toolset.update.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:3098", rationale: "Narrowing the tools to one entry reads back exactly that entry"}
+- {id: mgmt.mcp_toolset.update.clear_persists, module: mgmt, tier: P0, surface: api, assertions: [clear_persists], source: "mcp_management_endpoints.py:3098", fail_before_fix: proven, rationale: "An explicit null clears the stored description; the update used to drop null and keep the old value"}
+- {id: mgmt.mcp_toolset.delete.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:3149", rationale: "A deleted toolset is gone by id and from the list on every replica"}
diff --git a/tests/e2e/e2e_http.py b/tests/e2e/e2e_http.py
index 9d5f1658e91..415c72bbb3c 100644
--- a/tests/e2e/e2e_http.py
+++ b/tests/e2e/e2e_http.py
@@ -49,6 +49,11 @@ class AnthropicHeaders(AuthHeaders):
     anthropic_version: str = Field(default="2023-06-01", alias="anthropic-version")
 
 
+class PartialBody(BaseModel):
+    """A body for a partial-update route (absent = keep, null = clear): a field left
+    unset is omitted from the wire, and a field set to None is sent as JSON null."""
+
+
 class NoBody(BaseModel):
     """Empty body/query for routes that take none."""
 
@@ -252,6 +257,13 @@ def assert_auth_denied(result: StreamingResponse, context: str) -> None:
         f"{context}: expected 401/403, got {result.status_code}: {result.body[:300]}"
     )
 
+
+def wire_body(json: BaseModel) -> dict[str, object]:
+    if isinstance(json, PartialBody):
+        return json.model_dump(by_alias=True, exclude_unset=True)
+    return json.model_dump(by_alias=True, exclude_none=True)
+
+
 def _headers(headers: BaseModel) -> dict[str, str]:
     dumped: dict[str, object] = headers.model_dump(by_alias=True, exclude_none=True)
     return {key: str(value) for key, value in dumped.items()}
@@ -307,9 +319,26 @@ def request_with_retry[T: RetryableResponse](
     return issue()
 
 
-def _classify[R: BaseModel](
-    resp: requests.Response, response_type: type[R]
-) -> Result[R]:
+class ClassifiableResponse(Protocol):
+    """What classifying an outcome reads off a response. requests.Response satisfies
+    it, and so does a fake, so the classification rules are testable on their own."""
+
+    @property
+    def status_code(self) -> int: ...
+
+    @property
+    def ok(self) -> bool: ...
+
+    @property
+    def text(self) -> str: ...
+
+    @property
+    def content(self) -> bytes: ...
+
+    def json(self) -> object: ...
+
+
+def classify[R: BaseModel](resp: ClassifiableResponse, response_type: type[R]) -> Result[R]:
     if resp.status_code == 401:
         return UnauthorizedError(body=resp.text)
     if resp.status_code == 429:
@@ -317,7 +346,8 @@ def _classify[R: BaseModel](
     if not resp.ok:
         return UnknownApiError(status_code=resp.status_code, body=resp.text)
     try:
-        return Success(status_code=resp.status_code, data=response_type.model_validate(resp.json()))
+        payload: Final[object] = resp.json() if resp.content else {}
+        return Success(status_code=resp.status_code, data=response_type.model_validate(payload))
     except Exception as exc:  # noqa: BLE001 - any parse/validation failure is a value
         return ValidationError(message=str(exc))
 
@@ -335,13 +365,13 @@ def post[R: BaseModel](
             lambda: requests.post(
                 str(url),
                 headers=_headers(headers),
-                json=json.model_dump(by_alias=True, exclude_none=True),
+                json=wire_body(json),
                 timeout=timeout,
             )
         )
     except requests.RequestException as exc:
         return NetworkError(message=str(exc))
-    return _classify(resp, response_type)
+    return classify(resp, response_type)
 
 
 def get[R: BaseModel](
@@ -363,7 +393,7 @@ def get[R: BaseModel](
         )
     except requests.RequestException as exc:
         return NetworkError(message=str(exc))
-    return _classify(resp, response_type)
+    return classify(resp, response_type)
 
 
 def get_external[R: BaseModel](
@@ -383,7 +413,7 @@ def get_external[R: BaseModel](
         )
     except requests.RequestException as exc:
         return NetworkError(message=str(exc))
-    return _classify(resp, response_type)
+    return classify(resp, response_type)
 
 
 def delete[R: BaseModel](
@@ -400,14 +430,14 @@ def delete[R: BaseModel](
             lambda: requests.delete(
                 str(url),
                 headers=_headers(headers),
-                json=json.model_dump(by_alias=True, exclude_none=True),
+                json=wire_body(json),
                 params=_params(params),
                 timeout=timeout,
             )
         )
     except requests.RequestException as exc:
         return NetworkError(message=str(exc))
-    return _classify(resp, response_type)
+    return classify(resp, response_type)
 
 
 def patch[R: BaseModel](
@@ -423,13 +453,13 @@ def patch[R: BaseModel](
             lambda: requests.patch(
                 str(url),
                 headers=_headers(headers),
-                json=json.model_dump(by_alias=True, exclude_none=True),
+                json=wire_body(json),
                 timeout=timeout,
             )
         )
     except requests.RequestException as exc:
         return NetworkError(message=str(exc))
-    return _classify(resp, response_type)
+    return classify(resp, response_type)
 
 
 def put[R: BaseModel](
@@ -445,13 +475,13 @@ def put[R: BaseModel](
             lambda: requests.put(
                 str(url),
                 headers=_headers(headers),
-                json=json.model_dump(by_alias=True, exclude_none=True),
+                json=wire_body(json),
                 timeout=timeout,
             )
         )
     except requests.RequestException as exc:
         return NetworkError(message=str(exc))
-    return _classify(resp, response_type)
+    return classify(resp, response_type)
 
 
 def probe(
@@ -555,7 +585,7 @@ def send(
                 str(url),
                 headers=_headers(headers),
                 params=_params(params),
-                json=json.model_dump(by_alias=True, exclude_none=True),
+                json=wire_body(json),
                 stream=stream,
                 timeout=timeout,
             )
@@ -605,7 +635,7 @@ def upload[R: BaseModel](
         )
     except requests.RequestException as exc:
         return NetworkError(message=str(exc))
-    return _classify(resp, response_type)
+    return classify(resp, response_type)
 
 
 def stream_binary(
@@ -623,7 +653,7 @@ def stream_binary(
         resp = requests.post(
             str(url),
             headers=_headers(headers),
-            json=json.model_dump(by_alias=True, exclude_none=True),
+            json=wire_body(json),
             stream=True,
             timeout=timeout,
         )
diff --git a/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py b/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py
index 9a45743a0cd..75817340876 100644
--- a/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py
+++ b/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py
@@ -16,8 +16,10 @@ into a chat completion chunk. Two customer-visible contracts only hold on that p
 
 from __future__ import annotations
 
+from typing import Final, Literal
+
 import pytest
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 from e2e_config import unique_marker
 from e2e_http import StreamingResponse
@@ -51,7 +53,8 @@ class _BridgeChoice(BaseModel):
 
 class _BridgeChunk(BaseModel):
     id: str
-    choices: list[_BridgeChoice] = []
+    object: Literal["chat.completion.chunk"]
+    choices: list[_BridgeChoice] = Field(default_factory=list)
 
 
 class _WeatherArgs(BaseModel):
@@ -103,16 +106,19 @@ class TestResponsesBridgeChatCompletionsStreaming:
             resources.key(),
             ChatBody(
                 model=bridged_model,
-                messages=[ChatMessage(role="user", content=f"Count from 1 to 5, one number per line. {unique_marker()}")],
+                messages=[
+                    ChatMessage(role="user", content=f"Count from 1 to 5, one number per line. {unique_marker()}")
+                ],
                 max_tokens=64,
                 stream=True,
             ),
         )
 
-        chunks = _bridge_chunks(result)
-        ids = {chunk.id for chunk in chunks}
+        chunks: Final = _bridge_chunks(result)
+        assert len(chunks) > 1, "the shared-id contract needs more than one streamed chunk"
+        ids: Final = frozenset(chunk.id for chunk in chunks)
         assert len(ids) == 1, f"bridged stream used {len(ids)} different chunk ids: {sorted(ids)[:5]}"
-        assert ids.pop().startswith("chatcmpl-"), f"bridged chunk id is not chat-completion shaped: {chunks[0].id}"
+        assert chunks[0].id.strip(), "bridged stream emitted an empty chunk id"
 
     @pytest.mark.covers(
         "llm.chat_completions.openai.basic.stream.bridge_streams_sse",
@@ -134,9 +140,9 @@ class TestResponsesBridgeChatCompletionsStreaming:
         chunks = _bridge_chunks(result)
         content = "".join(choice.delta.content or "" for chunk in chunks for choice in chunk.choices)
         assert content.strip(), f"bridged stream completed with no content deltas: {result.stream_events[:3]}"
-        assert any(
-            choice.finish_reason for chunk in chunks for choice in chunk.choices
-        ), f"bridged stream never emitted a finish_reason: {result.stream_events[-3:]}"
+        assert any(choice.finish_reason for chunk in chunks for choice in chunk.choices), (
+            f"bridged stream never emitted a finish_reason: {result.stream_events[-3:]}"
+        )
         assert result.stream_done, f"bridged stream did not terminate with [DONE]: {result.stream_events[-2:]}"
 
     @pytest.mark.covers(
diff --git a/tests/e2e/logging/datadog_reader.py b/tests/e2e/logging/datadog_reader.py
index d0f478185c2..368c20cb6aa 100644
--- a/tests/e2e/logging/datadog_reader.py
+++ b/tests/e2e/logging/datadog_reader.py
@@ -12,8 +12,12 @@ empty result. External reads go through ``e2e_http``.
 
 from __future__ import annotations
 
+import math
+import random
 import time
-from dataclasses import dataclass
+from collections.abc import Callable, Mapping
+from dataclasses import dataclass, field
+from typing import Final
 
 import pytest
 from pydantic import BaseModel, ConfigDict, Field
@@ -27,17 +31,33 @@ from e2e_config import (
     DD_SITE,
     POLL_TIMEOUT,
 )
-from e2e_http import URL, Headers, RateLimitedError, Success, post
+from e2e_http import URL, Headers, StreamingResponse, send
 
-#: How many rate-limited responses in a row one search tolerates before the
-#: hard fail; each retry sleeps a full search interval, so this rides out a
-#: burst from a concurrent consumer of the org-wide search budget.
-_RATE_LIMIT_RETRIES = 5
+type SearchCall = Callable[[str, float], StreamingResponse]
+
+
+def _seconds(value: str | None) -> float | None:
+    if value is None:
+        return None
+    try:
+        seconds: Final = float(value)
+    except ValueError:
+        return None
+    return seconds if math.isfinite(seconds) and seconds >= 0 else None
+
+
+def _rate_limit_delay(headers: Mapping[str, str]) -> float:
+    delays: Final = tuple(
+        delay
+        for name in ("x-ratelimit-reset", "retry-after")
+        if (delay := _seconds(headers.get(name))) is not None
+    )
+    return max(1.0, max(delays, default=DD_SEARCH_INTERVAL))
 
 
 class _DdAuthHeaders(Headers):
-    api_key: str = Field(serialization_alias="DD-API-KEY")
-    app_key: str = Field(serialization_alias="DD-APPLICATION-KEY")
+    api_key: str = Field(serialization_alias="DD-API-KEY", repr=False)
+    app_key: str = Field(serialization_alias="DD-APPLICATION-KEY", repr=False)
 
 
 class _SearchFilter(BaseModel):
@@ -88,8 +108,12 @@ class _SearchResponse(BaseModel):
 @dataclass(frozen=True, slots=True)
 class DdLogsReader:
     site: str
-    api_key: str
-    app_key: str
+    api_key: str = field(repr=False)
+    app_key: str = field(repr=False)
+    search: SearchCall | None = field(default=None, repr=False)
+    now: Callable[[], float] = field(default=time.monotonic, repr=False)
+    sleep: Callable[[float], None] = field(default=time.sleep, repr=False)
+    jitter: Callable[[], float] = field(default=random.random, repr=False)
 
     def events_for_marker(self, marker: str) -> list[DdLogEvent]:
         """Every ingested event whose attributes carry the marker. DataDog
@@ -108,25 +132,28 @@ class DdLogsReader:
         a single event. A 429 backs off and retries - the search budget is
         org-wide, so another consumer can empty it under us - while any other
         failure stays a hard fail."""
-        for _ in range(_RATE_LIMIT_RETRIES):
-            result = post(
-                URL(f"https://api.{self.site}/api/v2/logs/events/search"),
-                headers=_DdAuthHeaders(api_key=self.api_key, app_key=self.app_key),
-                json=_SearchRequest(filter=_SearchFilter(query=query)),
-                response_type=_SearchResponse,
-                timeout=30.0,
-            )
-            match result:
-                case Success(data=page):
-                    return [event.attributes for event in page.data]
-                case RateLimitedError(retry_after_seconds=retry_after):
-                    time.sleep(retry_after if retry_after else DD_SEARCH_INTERVAL)
-                case failure:
-                    pytest.fail(f"DataDog Logs Search API at api.{self.site} failed: {failure}")
+        return self._events_for_query(query, self.now() + POLL_TIMEOUT)
+
+    def _events_for_query(self, query: str, deadline: float) -> list[DdLogEvent]:
+        search: Final = self.search or self._search_page
+        while (remaining := deadline - self.now()) > 0:
+            if (result := search(query, min(30.0, remaining))).ok:
+                return [event.attributes for event in _SearchResponse.model_validate_json(result.body).data]
+            if result.status_code != 429:
+                pytest.fail(f"DataDog Logs Search API at api.{self.site} failed with HTTP {result.status_code}")
+            if (delay := min(_rate_limit_delay(result.headers) + self.jitter(), deadline - self.now())) > 0:
+                self.sleep(delay)
         pytest.fail(
-            f"DataDog Logs Search API at api.{self.site} still rate-limited after "
-            f"{_RATE_LIMIT_RETRIES} retries {DD_SEARCH_INTERVAL}s apart - the org-wide "
-            "logs_public_search_api budget (2 requests per 10s) is exhausted by another consumer"
+            f"DataDog Logs Search API at api.{self.site} remained rate-limited for {POLL_TIMEOUT}s; "
+            "the org-wide logs_public_search_api budget is exhausted"
+        )
+
+    def _search_page(self, query: str, timeout: float) -> StreamingResponse:
+        return send(
+            URL(f"https://api.{self.site}/api/v2/logs/events/search"),
+            headers=_DdAuthHeaders(api_key=self.api_key, app_key=self.app_key),
+            json=_SearchRequest(filter=_SearchFilter(query=query)),
+            timeout=timeout,
         )
 
     def poll_events_for_marker(self, marker: str) -> list[DdLogEvent]:
@@ -140,33 +167,42 @@ class DdLogsReader:
         hide from the exactly-one assertion - real-DataDog jitter can surface
         one call's two events tens of seconds apart. Searches pace at
         DD_SEARCH_INTERVAL, not POLL_INTERVAL, to respect the search API's
-        request budget. At the deadline the last result is returned as-is."""
-        deadline = time.monotonic() + POLL_TIMEOUT
-        while time.monotonic() < deadline:
-            events = self.events_for_query(query)
+        request budget. Discovery, quota retries, and duplicate detection share
+        one POLL_TIMEOUT deadline; an incomplete settle window fails closed."""
+        deadline: Final = self.now() + POLL_TIMEOUT
+        while (remaining := deadline - self.now()) > 0:
+            events = self._events_for_query(query, deadline)
             if events:
-                return self._settled_events_for_query(query, events)
-            time.sleep(DD_SEARCH_INTERVAL)
-        return self.events_for_query(query)
+                return self._settled_events_for_query(query, events, deadline)
+            if (remaining := deadline - self.now()) > 0:
+                self.sleep(min(DD_SEARCH_INTERVAL, remaining))
+        return []
 
-    def _settled_events_for_query(self, query: str, events: list[DdLogEvent]) -> list[DdLogEvent]:
+    def _settled_events_for_query(self, query: str, events: list[DdLogEvent], deadline: float) -> list[DdLogEvent]:
         """Re-read at every search interval until the settle window closes; a
         duplicate ends the watch early because more waiting cannot clear it.
 
         Keep the last non-empty result: a transient empty search (index lag)
         must not erase events already confirmed earlier in the settle window.
+        A successful final search must reach the full settle window before the
+        shared read-back deadline; otherwise duplicate detection is incomplete.
         """
-        settle_deadline = time.monotonic() + DD_SETTLE_SECONDS
+        settle_deadline: Final = self.now() + DD_SETTLE_SECONDS
         last_nonempty = events
-        while time.monotonic() < settle_deadline:
-            time.sleep(DD_SEARCH_INTERVAL)
-            latest = self.events_for_query(query)
-            if not latest:
-                continue
+        if len(events) > 1:
+            return events
+        while (remaining := deadline - self.now()) > 0:
+            self.sleep(min(DD_SEARCH_INTERVAL, remaining))
+            if self.now() >= deadline:
+                break
+            latest = self._events_for_query(query, deadline)
             if len(latest) > 1:
                 return latest
-            last_nonempty = latest
-        return last_nonempty
+            if latest:
+                last_nonempty = latest
+            if self.now() >= settle_deadline:
+                return last_nonempty
+        pytest.fail(f"DataDog log delivery could not complete its duplicate-detection window within {POLL_TIMEOUT}s")
 
 
 def build_dd_logs_reader() -> DdLogsReader:
diff --git a/tests/e2e/logging/test_datadog_reader.py b/tests/e2e/logging/test_datadog_reader.py
new file mode 100644
index 00000000000..910a1cefd42
--- /dev/null
+++ b/tests/e2e/logging/test_datadog_reader.py
@@ -0,0 +1,223 @@
+import json
+from collections.abc import Iterator, Sequence
+from dataclasses import dataclass
+from typing import Final
+
+import pytest
+
+from datadog_reader import DdLogsReader
+from datadog_reader import _DdAuthHeaders  # pyright: ignore[reportPrivateUsage]  # verifies private auth-header serialization
+from e2e_config import DD_SEARCH_INTERVAL, POLL_TIMEOUT
+from e2e_http import StreamingResponse
+
+
+def test_failure_diagnostics_hide_credentials_without_changing_auth_headers() -> None:
+    api_key: Final = "test-datadog-api-secret"
+    app_key: Final = "test-datadog-app-secret"
+    reader: Final = DdLogsReader(site="datadoghq.com", api_key=api_key, app_key=app_key)
+    headers: Final = _DdAuthHeaders(api_key=api_key, app_key=app_key)
+
+    for value in (reader, headers):
+        assert api_key not in repr(value)
+        assert app_key not in repr(value)
+
+    assert headers.model_dump(by_alias=True) == {
+        "DD-API-KEY": api_key,
+        "DD-APPLICATION-KEY": app_key,
+    }
+
+
+@dataclass
+class Clock:
+    elapsed: float = 0.0
+
+    def now(self) -> float:
+        return self.elapsed
+
+    def sleep(self, seconds: float) -> None:
+        self.elapsed += seconds
+
+
+@dataclass
+class Search:
+    responses: Iterator[StreamingResponse]
+    calls: tuple[tuple[str, float], ...] = ()
+
+    def __call__(self, query: str, timeout: float) -> StreamingResponse:
+        self.calls += ((query, timeout),)
+        return next(self.responses)
+
+
+def _page(*event_ids: str) -> StreamingResponse:
+    return StreamingResponse(
+        status_code=200,
+        body=json.dumps({"data": [{"attributes": {"attributes": {"id": event_id}}} for event_id in event_ids]}),
+    )
+
+
+def _reader(responses: Sequence[StreamingResponse], clock: Clock) -> tuple[DdLogsReader, Search]:
+    search: Final = Search(iter(responses))
+    return DdLogsReader(
+        site="us5.datadoghq.com",
+        api_key="test-api-secret",
+        app_key="test-app-secret",
+        search=search,
+        now=clock.now,
+        sleep=clock.sleep,
+        jitter=lambda: 0.25,
+    ), search
+
+
+def test_429_honors_server_reset_and_preserves_duplicate_events() -> None:
+    clock: Final = Clock()
+    reader, search = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "6"}), _page("first", "duplicate")),
+        clock,
+    )
+
+    events: Final = reader.events_for_query("test-marker")
+
+    assert tuple(event.attributes["id"] for event in events) == ("first", "duplicate")
+    assert clock.elapsed == 6.25
+    assert search.calls == (("test-marker", 30.0), ("test-marker", 30.0))
+
+
+@pytest.mark.parametrize("reset", ("", "invalid", "nan", "inf", "-1"))
+def test_invalid_reset_uses_search_interval(reset: str) -> None:
+    clock: Final = Clock()
+    reader, _ = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": reset}), _page()), clock
+    )
+
+    assert reader.events_for_query("test-marker") == []
+    assert clock.elapsed == DD_SEARCH_INTERVAL + 0.25
+
+
+def test_zero_reset_cannot_create_a_busy_retry_loop() -> None:
+    clock: Final = Clock()
+    reader, _ = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "0"}), _page()), clock
+    )
+
+    assert reader.events_for_query("test-marker") == []
+    assert clock.elapsed == 1.25
+
+
+def test_retry_after_is_not_shortened_by_an_earlier_reset() -> None:
+    clock: Final = Clock()
+    reader, _ = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "2", "retry-after": "8"}), _page()),
+        clock,
+    )
+
+    assert reader.events_for_query("test-marker") == []
+    assert clock.elapsed == 8.25
+
+
+def test_rate_limit_wait_stops_at_deadline_without_issuing_another_request() -> None:
+    clock: Final = Clock()
+    reader, search = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT * 10)}),), clock
+    )
+
+    with pytest.raises(pytest.fail.Exception, match="remained rate-limited"):
+        reader.events_for_query("test-marker")
+
+    assert clock.elapsed == POLL_TIMEOUT
+    assert search.calls == (("test-marker", 30.0),)
+
+
+def test_late_retry_cannot_receive_a_fresh_request_timeout() -> None:
+    clock: Final = Clock()
+    reader, search = _reader(
+        (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT - 5)}), _page()),
+        clock,
+    )
+
+    assert reader.events_for_query("test-marker") == []
+    assert search.calls == (("test-marker", 30.0), ("test-marker", 4.75))
+
+
+@pytest.mark.parametrize("status", (-1, 401, 403, 500))
+def test_non_quota_failures_are_not_retried_or_treated_as_empty_results(status: int) -> None:
+    clock: Final = Clock()
+    reader, search = _reader((StreamingResponse(status_code=status, body=""), _page()), clock)
+
+    with pytest.raises(pytest.fail.Exception, match=f"failed with HTTP {status}"):
+        reader.events_for_query("test-marker")
+
+    assert search.calls == (("test-marker", 30.0),)
+    assert clock.elapsed == 0
+
+
+def test_polling_quota_retries_share_the_original_deadline() -> None:
+    clock: Final = Clock()
+    reader, search = _reader(
+        (_page(), StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT)})),
+        clock,
+    )
+
+    with pytest.raises(pytest.fail.Exception, match="remained rate-limited"):
+        reader.poll_events_for_query("test-marker")
+
+    assert clock.elapsed == POLL_TIMEOUT
+    assert len(search.calls) == 2
+
+
+def test_empty_polling_does_not_start_a_final_search_after_its_deadline() -> None:
+    clock: Final = Clock()
+    attempts: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL)
+    reader, search = _reader((_page(),) * attempts, clock)
+
+    assert reader.poll_events_for_query("test-marker") == []
+    assert clock.elapsed == POLL_TIMEOUT
+    assert len(search.calls) == attempts
+
+
+def test_settlement_quota_retries_keep_the_remaining_readback_budget() -> None:
+    clock: Final = Clock()
+    empty_reads: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL) - 2
+    reader, search = _reader(
+        (_page(),) * empty_reads
+        + (_page("first"), StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT)})),
+        clock,
+    )
+
+    with pytest.raises(pytest.fail.Exception, match="remained rate-limited"):
+        reader.poll_events_for_query("test-marker")
+
+    assert clock.elapsed == POLL_TIMEOUT
+    assert search.calls[-1] == ("test-marker", DD_SEARCH_INTERVAL)
+    assert len(search.calls) == empty_reads + 2
+
+
+def test_settlement_detects_a_duplicate_on_the_final_search() -> None:
+    clock: Final = Clock()
+    reader, _ = _reader((_page("first"), _page("first"), _page(), _page("first", "duplicate")), clock)
+
+    events: Final = reader.poll_events_for_query("test-marker")
+
+    assert tuple(event.attributes["id"] for event in events) == ("first", "duplicate")
+    assert clock.elapsed == 30
+
+
+def test_settlement_keeps_confirmed_events_through_empty_searches() -> None:
+    clock: Final = Clock()
+    reader, _ = _reader((_page("first"), _page(), _page(), _page()), clock)
+
+    events: Final = reader.poll_events_for_query("test-marker")
+
+    assert tuple(event.attributes["id"] for event in events) == ("first",)
+    assert clock.elapsed == 30
+
+
+def test_late_delivery_cannot_pass_without_a_complete_settle_window() -> None:
+    clock: Final = Clock()
+    empty_reads: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL) - 2
+    reader, search = _reader((_page(),) * empty_reads + (_page("first"), _page("first")), clock)
+
+    with pytest.raises(pytest.fail.Exception, match="duplicate-detection window"):
+        reader.poll_events_for_query("test-marker")
+
+    assert clock.elapsed == POLL_TIMEOUT
+    assert len(search.calls) == empty_reads + 2
diff --git a/tests/e2e/management/management_client.py b/tests/e2e/management/management_client.py
index 2b897f5f07f..1ef0d89a8f9 100644
--- a/tests/e2e/management/management_client.py
+++ b/tests/e2e/management/management_client.py
@@ -43,6 +43,9 @@ from models import (
     KeyResetSpendBody,
     KeyResetSpendResponse,
     KeyUpdateBody,
+    McpServerCreateBody,
+    McpServerRow,
+    McpServerUpdateBody,
     ModelDeleteBody,
     OrgDeleteBody,
     OrgInfoParams,
@@ -537,6 +540,38 @@ class ManagementClient:
             ).root
         )
 
+    def create_mcp_server(self, body: McpServerCreateBody) -> McpServerRow:
+        return unwrap(
+            self.proxy.transport.post(
+                "/v1/mcp/server",
+                headers=self.proxy.transport.master,
+                json=body,
+                response_type=McpServerRow,
+            )
+        )
+
+    def update_mcp_server(self, body: McpServerUpdateBody) -> McpServerRow:
+        """PUT /v1/mcp/server, the call behind the dashboard's Save Changes: a partial
+        update where a field left unset keeps its stored value and None clears it."""
+        return unwrap(
+            self.proxy.transport.put(
+                "/v1/mcp/server",
+                headers=self.proxy.transport.master,
+                json=body,
+                response_type=McpServerRow,
+            )
+        )
+
+    def delete_mcp_server(self, server_id: str) -> Result[NoBody]:
+        """DELETE /v1/mcp/server/{server_id}. Returns the outcome so the act phase can
+        unwrap it while a deferred teardown can ignore an already-deleted server."""
+        return self.proxy.transport.delete(
+            f"/v1/mcp/server/{server_id}",
+            headers=self.proxy.transport.master,
+            json=NoBody(),
+            response_type=NoBody,
+        )
+
     def chat_status(self, key: str, model: str, content: str) -> StreamingResponse:
         return self.proxy.transport.send(
             "/chat/completions",
diff --git a/tests/e2e/management/test_mcp_lifecycle_e2e.py b/tests/e2e/management/test_mcp_lifecycle_e2e.py
new file mode 100644
index 00000000000..9257d697647
--- /dev/null
+++ b/tests/e2e/management/test_mcp_lifecycle_e2e.py
@@ -0,0 +1,294 @@
+"""Live e2e: the MCP server and toolset management routes' lifecycle contract.
+
+Two customer defects sit on these routes, and each step here is the read-back that
+would have caught one of them: a dashboard edit that took several saves to stick
+because the read landed on a replica the write had not reached, and a toolset whose
+tools were stored under one name and read back under another, so it granted
+nothing. Every read-back therefore polls every replica that serves the route
+(ProxyClient.read_back_everywhere) and asserts the exact values written, and both
+update routes are held to the same partial-update contract: a field left out of the
+payload keeps its stored value, a field sent as null is cleared. The server URL is
+unreachable on purpose; only persistence is under test, never a tool call.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Callable, Mapping
+from typing import Final
+
+import pytest
+from e2e_config import unique_marker
+from e2e_http import unwrap
+from lifecycle import ResourceManager
+from management_client import ManagementClient
+from models import (
+    McpInfo,
+    McpServerCreateBody,
+    McpServerListResponse,
+    McpServerRow,
+    McpServerUpdateBody,
+    ToolsetCreateBody,
+    ToolsetListResponse,
+    ToolsetRow,
+    ToolsetTool,
+    ToolsetUpdateBody,
+)
+
+pytestmark = pytest.mark.e2e
+
+UNREACHABLE_URL: Final = "https://e2e-fake-mcp.test.local/mcp"
+
+
+def _create_server(client: ManagementClient, resources: ResourceManager) -> tuple[McpServerCreateBody, str]:
+    name: Final = f"e2e_mcp_lifecycle_{unique_marker()}"
+    body: Final = McpServerCreateBody(
+        server_name=name,
+        alias=name,
+        url=UNREACHABLE_URL,
+        transport="http",
+        description="e2e lifecycle server",
+        mcp_info=McpInfo(
+            server_name=f"{name} (display)",
+            description="shown on the MCP page",
+            logo_url="https://e2e.test.local/logo.png",
+        ),
+    )
+    server_id: Final = client.create_mcp_server(body).server_id
+    resources.defer(lambda: client.delete_mcp_server(server_id))
+    return body, server_id
+
+
+def _assert_server_matches(row: McpServerRow, written: McpServerCreateBody, *, where: str) -> None:
+    stored: Final = (row.server_name, row.alias, row.url, row.transport, row.description, row.mcp_info)
+    expected: Final = (
+        written.server_name,
+        written.alias,
+        written.url,
+        written.transport,
+        written.description,
+        written.mcp_info,
+    )
+    assert stored == expected, f"{where}: stored {stored}, expected {expected}"
+
+
+def _server_everywhere(
+    client: ManagementClient, server_id: str, *, settled: Callable[[McpServerRow], bool]
+) -> Mapping[str, McpServerRow]:
+    return client.proxy.read_body_back_everywhere(f"/v1/mcp/server/{server_id}", McpServerRow, settled=settled)
+
+
+def _listed_server_everywhere(client: ManagementClient, server_id: str) -> Mapping[str, McpServerRow]:
+    listings: Final = client.proxy.read_body_back_everywhere(
+        "/v1/mcp/server",
+        McpServerListResponse,
+        settled=lambda rows: any(row.server_id == server_id for row in rows.root),
+    )
+    return {replica: next(row for row in rows.root if row.server_id == server_id) for replica, rows in listings.items()}
+
+
+class TestMcpServerLifecycle:
+    @pytest.mark.covers("mgmt.mcp_server.new.persists")
+    def test_create_persists_every_field_on_every_replica(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        body, server_id = _create_server(client, resources)
+
+        by_id: Final = _server_everywhere(client, server_id, settled=lambda row: row.server_id == server_id)
+        for replica, row in by_id.items():
+            _assert_server_matches(row, body, where=f"GET /v1/mcp/server/{server_id} on {replica}")
+
+    @pytest.mark.skip(
+        reason=(
+            "product gap: GET /v1/mcp/server builds each row from the in-memory registry, whose "
+            "_build_mcp_server_table sets description from mcp_info['description'], so the list "
+            "reports the mcp_info description while GET /v1/mcp/server/{server_id} reports the "
+            "stored description column. A server created with both set to different text reads "
+            "back with two different descriptions depending on the route"
+        )
+    )
+    @pytest.mark.covers("mgmt.mcp_server.list.persists")
+    def test_created_server_is_listed_with_every_field(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        body, server_id = _create_server(client, resources)
+
+        for replica, row in _listed_server_everywhere(client, server_id).items():
+            _assert_server_matches(row, body, where=f"GET /v1/mcp/server on {replica}")
+
+    @pytest.mark.covers("mgmt.mcp_server.update.preserves_unrelated_fields")
+    def test_updating_only_the_alias_keeps_every_other_field_on_every_replica(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        body, server_id = _create_server(client, resources)
+        renamed: Final = f"{body.alias}_renamed"
+
+        _ = client.update_mcp_server(McpServerUpdateBody(server_id=server_id, alias=renamed))
+
+        after_one_put: Final = _server_everywhere(client, server_id, settled=lambda row: row.alias == renamed)
+        for replica, row in after_one_put.items():
+            _assert_server_matches(
+                row,
+                body.model_copy(update={"alias": renamed}),
+                where=f"GET /v1/mcp/server/{server_id} on {replica} after one PUT of alias",
+            )
+
+    @pytest.mark.covers("mgmt.mcp_server.update.clear_persists")
+    def test_clearing_the_description_with_null_reads_back_null(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        body, server_id = _create_server(client, resources)
+
+        _ = client.update_mcp_server(McpServerUpdateBody(server_id=server_id, description=None))
+
+        cleared: Final = _server_everywhere(client, server_id, settled=lambda row: row.description is None)
+        for replica, row in cleared.items():
+            _assert_server_matches(
+                row,
+                body.model_copy(update={"description": None}),
+                where=f"GET /v1/mcp/server/{server_id} on {replica} after PUT description=null",
+            )
+
+    @pytest.mark.covers("mgmt.mcp_server.delete.persists")
+    def test_delete_removes_the_server_from_every_replica(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        _, server_id = _create_server(client, resources)
+
+        _ = unwrap(client.delete_mcp_server(server_id))
+
+        gone: Final = client.proxy.gone_everywhere(f"/v1/mcp/server/{server_id}")
+        assert set(gone.values()) == {404}, f"a deleted server must 404 on every replica; got {dict(gone)}"
+        listings: Final = client.proxy.read_body_back_everywhere(
+            "/v1/mcp/server",
+            McpServerListResponse,
+            settled=lambda rows: all(row.server_id != server_id for row in rows.root),
+        )
+        for replica, rows in listings.items():
+            assert all(row.server_id != server_id for row in rows.root), (
+                f"GET /v1/mcp/server on {replica} still lists the deleted server {server_id}"
+            )
+
+
+def _create_toolset(
+    client: ManagementClient, resources: ResourceManager, server_id: str
+) -> tuple[ToolsetCreateBody, str]:
+    body: Final = ToolsetCreateBody(
+        toolset_name=f"e2e_toolset_{unique_marker()}",
+        description="e2e lifecycle toolset",
+        tools=[
+            ToolsetTool(server_id=server_id, tool_name="search_datadog_logs"),
+            ToolsetTool(server_id=server_id, tool_name="get_datadog_metric"),
+        ],
+    )
+    toolset_id: Final = client.proxy.create_toolset(body).toolset_id
+    resources.defer(lambda: client.proxy.delete_toolset(toolset_id))
+    return body, toolset_id
+
+
+def _assert_toolset_matches(row: ToolsetRow, written: ToolsetCreateBody, *, where: str) -> None:
+    stored: Final = (row.toolset_name, row.description, row.tools)
+    expected: Final = (written.toolset_name, written.description, written.tools)
+    assert stored == expected, f"{where}: stored {stored}, expected {expected}"
+
+
+def _toolset_everywhere(
+    client: ManagementClient, toolset_id: str, *, settled: Callable[[ToolsetRow], bool]
+) -> Mapping[str, ToolsetRow]:
+    return client.proxy.read_body_back_everywhere(f"/v1/mcp/toolset/{toolset_id}", ToolsetRow, settled=settled)
+
+
+class TestMcpToolsetLifecycle:
+    @pytest.mark.covers("mgmt.mcp_toolset.new.persists")
+    def test_create_persists_both_tools_under_the_exact_names_written(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        _, server_id = _create_server(client, resources)
+        body, toolset_id = _create_toolset(client, resources, server_id)
+
+        by_id: Final = _toolset_everywhere(client, toolset_id, settled=lambda row: row.toolset_id == toolset_id)
+        for replica, row in by_id.items():
+            _assert_toolset_matches(row, body, where=f"GET /v1/mcp/toolset/{toolset_id} on {replica}")
+        listings: Final = client.proxy.read_body_back_everywhere(
+            "/v1/mcp/toolset",
+            ToolsetListResponse,
+            settled=lambda rows: any(row.toolset_id == toolset_id for row in rows.root),
+        )
+        for replica, rows in listings.items():
+            _assert_toolset_matches(
+                next(row for row in rows.root if row.toolset_id == toolset_id),
+                body,
+                where=f"GET /v1/mcp/toolset on {replica}",
+            )
+
+    @pytest.mark.covers("mgmt.mcp_toolset.update.preserves_unrelated_fields")
+    def test_updating_only_the_description_keeps_the_tools_and_name(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        _, server_id = _create_server(client, resources)
+        body, toolset_id = _create_toolset(client, resources, server_id)
+
+        _ = client.proxy.update_toolset(ToolsetUpdateBody(toolset_id=toolset_id, description="edited"))
+
+        edited: Final = _toolset_everywhere(client, toolset_id, settled=lambda row: row.description == "edited")
+        for replica, row in edited.items():
+            _assert_toolset_matches(
+                row,
+                body.model_copy(update={"description": "edited"}),
+                where=f"GET /v1/mcp/toolset/{toolset_id} on {replica} after PUT of description",
+            )
+
+    @pytest.mark.covers("mgmt.mcp_toolset.update.persists")
+    def test_updating_the_tools_to_one_entry_reads_back_exactly_that_entry(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        _, server_id = _create_server(client, resources)
+        body, toolset_id = _create_toolset(client, resources, server_id)
+        kept: Final = body.tools[:1]
+
+        _ = client.proxy.update_toolset(ToolsetUpdateBody(toolset_id=toolset_id, tools=kept))
+
+        narrowed: Final = _toolset_everywhere(client, toolset_id, settled=lambda row: row.tools == kept)
+        for replica, row in narrowed.items():
+            _assert_toolset_matches(
+                row,
+                body.model_copy(update={"tools": kept}),
+                where=f"GET /v1/mcp/toolset/{toolset_id} on {replica} after PUT of one tool",
+            )
+
+    @pytest.mark.covers("mgmt.mcp_toolset.update.clear_persists")
+    def test_clearing_the_description_with_null_reads_back_null(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        _, server_id = _create_server(client, resources)
+        body, toolset_id = _create_toolset(client, resources, server_id)
+
+        _ = client.proxy.update_toolset(ToolsetUpdateBody(toolset_id=toolset_id, description=None))
+
+        cleared: Final = _toolset_everywhere(client, toolset_id, settled=lambda row: row.description is None)
+        for replica, row in cleared.items():
+            _assert_toolset_matches(
+                row,
+                body.model_copy(update={"description": None}),
+                where=f"GET /v1/mcp/toolset/{toolset_id} on {replica} after PUT description=null",
+            )
+
+    @pytest.mark.covers("mgmt.mcp_toolset.delete.persists")
+    def test_delete_removes_the_toolset_from_every_replica(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        _, server_id = _create_server(client, resources)
+        _, toolset_id = _create_toolset(client, resources, server_id)
+
+        _ = unwrap(client.proxy.delete_toolset(toolset_id))
+
+        gone: Final = client.proxy.gone_everywhere(f"/v1/mcp/toolset/{toolset_id}")
+        assert set(gone.values()) == {404}, f"a deleted toolset must 404 on every replica; got {dict(gone)}"
+        listings: Final = client.proxy.read_body_back_everywhere(
+            "/v1/mcp/toolset",
+            ToolsetListResponse,
+            settled=lambda rows: all(row.toolset_id != toolset_id for row in rows.root),
+        )
+        for replica, rows in listings.items():
+            assert all(row.toolset_id != toolset_id for row in rows.root), (
+                f"GET /v1/mcp/toolset on {replica} still lists the deleted toolset {toolset_id}"
+            )
diff --git a/tests/e2e/mcp/datadog_mcp.py b/tests/e2e/mcp/datadog_mcp.py
index d1ea53a0b3b..352b4446cfd 100644
--- a/tests/e2e/mcp/datadog_mcp.py
+++ b/tests/e2e/mcp/datadog_mcp.py
@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import os
+from collections.abc import Sequence
 
 from e2e_config import datadog_mcp_url, unique_marker
 from lifecycle import ResourceManager
@@ -35,7 +36,11 @@ def register_datadog_mcp(
     resources: ResourceManager,
     *,
     mcp_access_groups: list[str] | None = None,
+    allowed_tools: Sequence[str] | None = (SEARCH_LOGS_TOOL,),
 ) -> str:
+    """Register the core Datadog toolset with its credentials from the env. By default
+    the server exposes only `search_datadog_logs`; pass `allowed_tools=None` to expose
+    every tool the core toolset serves."""
     assert_dd_mcp_creds()
     name = f"e2e_dd_mcp_{unique_marker()}"
     server_id = client.register_server(
@@ -47,7 +52,7 @@ def register_datadog_mcp(
             "DD-API-KEY": _dd_api_key(),
             "DD-APPLICATION-KEY": _dd_app_key(),
         },
-        allowed_tools=[SEARCH_LOGS_TOOL],
+        allowed_tools=None if allowed_tools is None else list(allowed_tools),
         mcp_access_groups=mcp_access_groups,
     )
     resources.defer(lambda: client.delete_server(server_id))
diff --git a/tests/e2e/mcp/mcp_client.py b/tests/e2e/mcp/mcp_client.py
index 73453478e5a..210fc7a1e98 100644
--- a/tests/e2e/mcp/mcp_client.py
+++ b/tests/e2e/mcp/mcp_client.py
@@ -16,11 +16,11 @@ import time
 from collections.abc import Mapping
 from dataclasses import dataclass
 
-from pydantic import BaseModel, ConfigDict, Field, RootModel
+from pydantic import BaseModel, ConfigDict, Field
 
 from e2e_config import settle_propagation
 from e2e_http import Headers, NoBody, Result, Success, UnknownApiError, unwrap
-from models import KeyGenerateBody, ObjectPermission
+from models import KeyGenerateBody, McpServerListResponse, McpServerRow, ObjectPermission
 from proxy_client import ProxyClient
 
 McpToolArg = str | int | float | bool | list[str] | dict[str, str]
@@ -46,16 +46,6 @@ class McpServerNewResponse(BaseModel):
     server_id: str
 
 
-class McpServerRow(BaseModel):
-    server_id: str
-    alias: str | None = None
-    url: str | None = None
-
-
-class McpServersListResponse(RootModel[list[McpServerRow]]):
-    pass
-
-
 class McpToolMcpInfo(BaseModel):
     server_id: str | None = None
     alias: str | None = None
@@ -193,7 +183,7 @@ class McpClient:
                 "/v1/mcp/server",
                 headers=self.proxy.transport.master,
                 params=NoBody(),
-                response_type=McpServersListResponse,
+                response_type=McpServerListResponse,
             )
         ).root
 
@@ -224,11 +214,16 @@ class McpClient:
         user_id: str,
         mcp_servers: list[str] | None,
         mcp_access_groups: list[str] | None = None,
+        mcp_toolsets: list[str] | None = None,
         models: list[str] | None = None,
     ) -> str:
         object_permission = (
-            ObjectPermission(mcp_servers=mcp_servers, mcp_access_groups=mcp_access_groups)
-            if mcp_servers is not None or mcp_access_groups is not None
+            ObjectPermission(
+                mcp_servers=mcp_servers,
+                mcp_access_groups=mcp_access_groups,
+                mcp_toolsets=mcp_toolsets,
+            )
+            if mcp_servers is not None or mcp_access_groups is not None or mcp_toolsets is not None
             else None
         )
         return self.proxy.generate_key(
@@ -272,6 +267,20 @@ class McpClient:
                 )
             time.sleep(self.proxy.poll_interval)
 
+    def await_tools(self, key: str, server_id: str, *, expected: frozenset[str]) -> frozenset[str]:
+        """Poll tools/list until `server_id`'s tools as `key` sees them are exactly
+        `expected`, and return the last listing either way, so the caller's equality
+        assertion names the difference. Fails at poll_timeout only when the read
+        itself never succeeded."""
+        deadline = time.monotonic() + self.proxy.poll_timeout
+        while True:
+            result = self.list_tools(key)
+            if isinstance(result, Success) and result.data.tool_names_for_server(server_id) == expected:
+                return expected
+            if time.monotonic() >= deadline:
+                return unwrap(result).tool_names_for_server(server_id)
+            time.sleep(self.proxy.poll_interval)
+
     def await_call_tool(
         self,
         key: str,
diff --git a/tests/e2e/mcp/test_mcp_toolset_enforcement_e2e.py b/tests/e2e/mcp/test_mcp_toolset_enforcement_e2e.py
new file mode 100644
index 00000000000..6b901145eb1
--- /dev/null
+++ b/tests/e2e/mcp/test_mcp_toolset_enforcement_e2e.py
@@ -0,0 +1,95 @@
+"""Live e2e: a key granted a toolset lists exactly the toolset's tools.
+
+An admin registers the real Datadog remote MCP server with its whole core toolset
+exposed, discovers two of its tool names through a key granted the server outright,
+and curates a toolset naming exactly those two. A second key is granted the server
+plus that toolset, and its tools/list must come back as exactly those two names: no
+more, so the rest of the server's catalog stays hidden behind the toolset, and no
+fewer, so a tool stored under one name and read under another (which granted
+nothing) fails here first. Requires DD_API_KEY + DD_APP_KEY (the suite's real MCP
+upstream).
+"""
+
+from __future__ import annotations
+
+from typing import Final
+
+import pytest
+from datadog_mcp import SEARCH_LOGS_TOOL, register_datadog_mcp
+from e2e_config import unique_marker
+from e2e_http import unwrap
+from lifecycle import ResourceManager
+from mcp_client import McpClient
+from models import ToolsetCreateBody, ToolsetTool
+
+pytestmark = pytest.mark.e2e
+
+
+def _key(
+    client: McpClient,
+    resources: ResourceManager,
+    label: str,
+    *,
+    server_id: str,
+    toolset_id: str | None = None,
+) -> str:
+    key: Final = client.generate_key(
+        user_id=f"e2e-mcp-{label}-{unique_marker()}",
+        mcp_servers=[server_id],
+        mcp_toolsets=None if toolset_id is None else [toolset_id],
+    )
+    resources.defer(lambda: client.proxy.delete_key(key))
+    return key
+
+
+def _wire_prefix(wire_name: str, tool_name: str, catalog: frozenset[str]) -> str:
+    """The prefix tools/list puts in front of one server's tool names, measured off a
+    tool whose own name is known rather than guessed from the alias. A toolset grants
+    by the tool's own name, never the wire name, and the prefix is whatever the proxy
+    is configured to build (the alias, or a short server id), so measuring it is the
+    only way to cross between the two."""
+    assert wire_name.endswith(tool_name), f"tools/list served {wire_name!r}, expected it to end with {tool_name!r}"
+    prefix: Final = wire_name[: len(wire_name) - len(tool_name)]
+    unprefixed: Final = frozenset(name for name in catalog if not name.startswith(prefix))
+    assert not unprefixed, (
+        f"every tool of one server shares the wire prefix {prefix!r}, so {sorted(unprefixed)} "
+        f"cannot be reduced to the names a toolset grants by"
+    )
+    return prefix
+
+
+class TestMcpToolsetEnforcement:
+    @pytest.mark.covers("mcp.list_tools.api_key.toolset_scoped")
+    def test_key_granted_a_toolset_lists_exactly_its_tools(self, client: McpClient, resources: ResourceManager) -> None:
+        server_id: Final = register_datadog_mcp(client, resources, allowed_tools=None)
+        client.await_registered(server_id)
+
+        catalog_key: Final = _key(client, resources, "catalog", server_id=server_id)
+        known_wire: Final = client.await_tool(catalog_key, server_id, SEARCH_LOGS_TOOL)
+        catalog: Final = unwrap(client.list_tools(catalog_key)).tool_names_for_server(server_id)
+        assert len(catalog) > 2, (
+            f"the Datadog core toolset must serve more tools than the toolset names, or the "
+            f"restriction has nothing to hide; got {sorted(catalog)}"
+        )
+        prefix: Final = _wire_prefix(known_wire, SEARCH_LOGS_TOOL, catalog)
+        chosen_wire: Final = frozenset(sorted(catalog)[:2])
+        chosen: Final = frozenset(name.removeprefix(prefix) for name in chosen_wire)
+
+        toolset: Final = client.proxy.create_toolset(
+            ToolsetCreateBody(
+                toolset_name=f"e2e_toolset_{unique_marker()}",
+                description="two Datadog tools",
+                tools=[ToolsetTool(server_id=server_id, tool_name=name) for name in sorted(chosen)],
+            )
+        )
+        resources.defer(lambda: client.proxy.delete_toolset(toolset.toolset_id))
+        assert frozenset(tool.tool_name for tool in toolset.tools) == chosen, (
+            f"toolset stored {toolset.tools}, expected the two names {sorted(chosen)} verbatim"
+        )
+
+        scoped_key: Final = _key(client, resources, "toolset", server_id=server_id, toolset_id=toolset.toolset_id)
+        listed: Final = client.await_tools(scoped_key, server_id, expected=chosen_wire)
+        assert listed == chosen_wire, (
+            f"a key granted the toolset must list exactly its two tools; "
+            f"got {sorted(listed)}, expected {sorted(chosen_wire)}"
+        )
diff --git a/tests/e2e/models.py b/tests/e2e/models.py
index 9f2654e0eec..62810e6cfd9 100644
--- a/tests/e2e/models.py
+++ b/tests/e2e/models.py
@@ -10,6 +10,7 @@ from collections.abc import Sequence
 from datetime import datetime
 from typing import Final, Literal
 
+from e2e_http import PartialBody
 from pydantic import AliasChoices, BaseModel, ConfigDict, Field, RootModel, model_serializer, model_validator
 
 # ---------- keys ----------
@@ -55,6 +56,7 @@ class KeyMetadata(BaseModel):
 class ObjectPermission(BaseModel):
     mcp_servers: list[str] | None = None
     mcp_access_groups: list[str] | None = None
+    mcp_toolsets: list[str] | None = None
 
 
 class KeyGenerateBody(BaseModel):
@@ -77,7 +79,7 @@ class KeyGenerateBody(BaseModel):
     allowed_passthrough_routes: list[str] | None = None
     metadata: KeyMetadata | None = None
     object_permission: ObjectPermission | None = None
-    router_settings: "RouterSettingsOverride | None" = None
+    router_settings: RouterSettingsOverride | None = None
 
 
 class KeyGenerateResponse(BaseModel):
@@ -516,6 +518,15 @@ class CountTokensResponse(BaseModel):
 # ---------- mcp servers ----------
 
 
+class McpInfo(BaseModel):
+    """The `mcp_info` display block stored on an MCP server; only the fields the
+    lifecycle test writes and reads back."""
+
+    server_name: str | None = None
+    description: str | None = None
+    logo_url: str | None = None
+
+
 class McpServerCreateBody(BaseModel):
     """POST /v1/mcp/server. For a gateway-managed OAuth server, `auth_type` is
     `oauth2` and `oauth2_flow` is `authorization_code`; the upstream endpoints
@@ -530,6 +541,18 @@ class McpServerCreateBody(BaseModel):
     oauth2_flow: Literal["client_credentials", "authorization_code"] | None = None
     authorization_url: str | None = None
     token_url: str | None = None
+    server_name: str | None = None
+    description: str | None = None
+    mcp_info: McpInfo | None = None
+
+
+class McpServerUpdateBody(PartialBody):
+    """PUT /v1/mcp/server: a field left unset keeps its stored value, a field set
+    to None is cleared."""
+
+    server_id: str
+    alias: str | None = None
+    description: str | None = None
 
 
 class McpServerInfo(BaseModel):
@@ -543,6 +566,54 @@ class McpServerInfo(BaseModel):
     allow_all_keys: bool | None = None
 
 
+class McpServerRow(McpServerInfo):
+    """A stored MCP server as the create, get, and list routes return it: the
+    fields the lifecycle test asserts survive the round trip."""
+
+    server_name: str | None = None
+    transport: str | None = None
+    description: str | None = None
+    mcp_info: McpInfo | None = None
+
+
+class McpServerListResponse(RootModel[list[McpServerRow]]):
+    """GET /v1/mcp/server answers with a bare array of servers."""
+
+
+class ToolsetTool(BaseModel):
+    server_id: str
+    tool_name: str
+
+
+class ToolsetCreateBody(BaseModel):
+    toolset_name: str
+    description: str | None = None
+    tools: list[ToolsetTool]
+
+
+class ToolsetUpdateBody(PartialBody):
+    """PUT /v1/mcp/toolset: a field left unset keeps its stored value, a field set
+    to None is cleared."""
+
+    toolset_id: str
+    description: str | None = None
+    tools: list[ToolsetTool] | None = None
+
+
+class ToolsetRow(BaseModel):
+    """A stored toolset as POST /v1/mcp/toolset, GET /v1/mcp/toolset/{toolset_id},
+    and each row of GET /v1/mcp/toolset return it."""
+
+    toolset_id: str
+    toolset_name: str
+    description: str | None = None
+    tools: list[ToolsetTool] = Field(default_factory=list)
+
+
+class ToolsetListResponse(RootModel[list[ToolsetRow]]):
+    """GET /v1/mcp/toolset answers with a bare array of toolsets."""
+
+
 class EmbedBody(BaseModel):
     model: str
     input: str
diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py
index 520cbfde5a9..1bac5116a9d 100644
--- a/tests/e2e/proxy_client.py
+++ b/tests/e2e/proxy_client.py
@@ -12,6 +12,7 @@ import time
 import warnings
 from collections.abc import Callable, Mapping
 from dataclasses import dataclass
+from functools import reduce
 from datetime import datetime
 from types import MappingProxyType
 from typing import Final
@@ -26,6 +27,7 @@ from e2e_http import (
     Result,
     StreamingResponse,
     Success,
+    UnknownApiError,
     is_ok,
     unwrap,
 )
@@ -70,6 +72,9 @@ from models import (
     SpendLogsPage,
     SpendLogsPageParams,
     SpendLogsParams,
+    ToolsetCreateBody,
+    ToolsetRow,
+    ToolsetUpdateBody,
 )
 from e2e_config import (
     CONTROL_PLANE_BASE_URL,
@@ -82,7 +87,7 @@ from e2e_config import (
     SLOW_PROVIDER_TIMEOUT_SECONDS,
     settle_propagation,
 )
-from transport import HttpTransport, SplitTransport, Transport
+from transport import HttpTransport, SplitTransport, Transport, is_control_plane_path
 
 RowsPredicate = Callable[[list[SpendLogRow]], bool]
 
@@ -235,6 +240,99 @@ def servable_timeout_message(
     )
 
 
+type ReplicaRead[T] = Callable[[float], T]
+
+
+@dataclass(frozen=True, slots=True)
+class EverywhereConverged[T]:
+    """Every replica answered with something `settled` accepts, keyed by replica."""
+
+    answers: Mapping[str, T]
+
+
+@dataclass(frozen=True, slots=True)
+class NeverConvergedOn[T]:
+    """`replica` ran out its budget without an answer `settled` accepts; `last` is
+    its final answer, so the failure can say what that replica still serves."""
+
+    replica: str
+    last: T
+
+
+def _last_answer[T](
+    read: ReplicaRead[T],
+    *,
+    settled: Callable[[T], bool],
+    timeout: float,
+    interval: float,
+    request_timeout: float,
+    now: Callable[[], float],
+    sleep: Callable[[float], None],
+) -> T:
+    """Poll `read` until `settled` accepts its answer or `timeout` runs out, and
+    return the last answer either way. Each read's request timeout is clamped to
+    the budget left, and the final poll runs even when less than an interval
+    remains, so a deadline never skips the read that would have settled."""
+    deadline: Final = now() + timeout
+    answer = read(min(request_timeout, timeout))
+    while not settled(answer):
+        remaining = deadline - now()
+        if remaining <= 0:
+            return answer
+        sleep(min(interval, remaining))
+        answer = read(min(request_timeout, remaining))
+    return answer
+
+
+def await_everywhere[T](
+    reads: Mapping[str, ReplicaRead[T]],
+    *,
+    settled: Callable[[T], bool],
+    timeout: float,
+    interval: float,
+    request_timeout: float,
+    now: Callable[[], float],
+    sleep: Callable[[float], None],
+) -> EverywhereConverged[T] | NeverConvergedOn[T]:
+    """`_last_answer` against every replica in turn, each with the full budget, so a
+    write counts as visible only once the last replica reflects it, and stop at the
+    first replica that never converges. Clock and sleep are injected."""
+    def read_replica(
+        outcome: EverywhereConverged[T] | NeverConvergedOn[T],
+        item: tuple[str, ReplicaRead[T]],
+    ) -> EverywhereConverged[T] | NeverConvergedOn[T]:
+        if isinstance(outcome, NeverConvergedOn):
+            return outcome
+        replica, read = item
+        answer: Final = _last_answer(
+            read,
+            settled=settled,
+            timeout=timeout,
+            interval=interval,
+            request_timeout=request_timeout,
+            now=now,
+            sleep=sleep,
+        )
+        if not settled(answer):
+            return NeverConvergedOn(replica=replica, last=answer)
+        return EverywhereConverged(answers=MappingProxyType({**outcome.answers, replica: answer}))
+
+    initial: Final[EverywhereConverged[T] | NeverConvergedOn[T]] = EverywhereConverged(answers=MappingProxyType({}))
+    return reduce(read_replica, reads.items(), initial)
+
+
+def _is_not_found[R: BaseModel](result: Result[R]) -> bool:
+    return isinstance(result, UnknownApiError) and result.status_code == 404
+
+
+def _status_of[R: BaseModel](result: Result[R]) -> int:
+    match result:
+        case Success(status_code=status_code) | UnknownApiError(status_code=status_code):
+            return status_code
+        case _:
+            return -1
+
+
 type Poller[T] = Callable[[], T]
 
 
@@ -321,6 +419,7 @@ def converge_timeout_message(*, what: str, replica: str, timeout: float, last_re
 class ProxyClient:
     transport: Transport
     replicas: Mapping[str, Transport]
+    control_replicas: Mapping[str, Transport]
     poll_timeout: float = 120.0
     poll_interval: float = 5.0
     model_servable_timeout: float = MODEL_SERVABLE_TIMEOUT
@@ -569,6 +668,112 @@ class ProxyClient:
         if not is_ok(result):
             warnings.warn(f"delete_model({model_id!r}) failed: {result}", stacklevel=2)
 
+    # ---- replica read-back ----------------------------------------------
+
+    def replicas_for(self, path: str) -> Mapping[str, Transport]:
+        """The replicas that serve `path`: every data-plane replica for an LLM route,
+        and for a management route the control-plane replicas, since the data-plane
+        replicas trim management routes and answer them 404. A monolith serves both
+        from every replica, so a management read-back polls all of them; a split
+        deployment exposes one control-plane address (there is one backend process
+        behind it on the stack these suites run against), so it polls that. A
+        control plane fronting several backends would need its own replica list to
+        prove each one converged, the way PROXY_REPLICA_URLS does for the gateways.
+        Never empty: a read-back against no replica would assert nothing and pass."""
+        replicas: Final = self.control_replicas if is_control_plane_path(path) else self.replicas
+        assert replicas, f"no replica is configured to serve {path}, so a read-back there would prove nothing"
+        return replicas
+
+    def read_body_back_everywhere[R: BaseModel](
+        self, path: str, response_type: type[R], *, settled: Callable[[R], bool]
+    ) -> Mapping[str, R]:
+        """GET `path` on every replica that serves it, polling each to poll_timeout
+        until `settled` accepts its body, and fail naming the first replica that
+        never converged. Returns each replica's settled body, keyed by replica, so
+        the caller can assert the rest of it."""
+        outcome: Final = await_everywhere(
+            {url: self._reader(transport, path, response_type) for url, transport in self.replicas_for(path).items()},
+            settled=lambda result: isinstance(result, Success) and settled(result.data),
+            timeout=self.poll_timeout,
+            interval=self.poll_interval,
+            request_timeout=REQUEST_TIMEOUT,
+            now=time.monotonic,
+            sleep=time.sleep,
+        )
+        match outcome:
+            case EverywhereConverged(answers=answers):
+                return MappingProxyType({url: unwrap(result) for url, result in answers.items()})
+            case NeverConvergedOn(replica=replica, last=last):
+                raise AssertionError(
+                    f"GET {path} on {replica} never converged within {self.poll_timeout}s of the write; "
+                    f"last read: {last}"
+                )
+
+    def gone_everywhere(self, path: str) -> Mapping[str, int]:
+        """Poll GET `path` on every replica that serves it until each stops serving
+        it, and fail naming the first replica that still does at poll_timeout.
+        Returns each replica's final status, so the caller asserts the 404 itself."""
+        outcome: Final = await_everywhere(
+            {url: self._reader(transport, path, NoBody) for url, transport in self.replicas_for(path).items()},
+            settled=_is_not_found,
+            timeout=self.poll_timeout,
+            interval=self.poll_interval,
+            request_timeout=REQUEST_TIMEOUT,
+            now=time.monotonic,
+            sleep=time.sleep,
+        )
+        match outcome:
+            case EverywhereConverged(answers=answers):
+                return MappingProxyType({url: _status_of(result) for url, result in answers.items()})
+            case NeverConvergedOn(replica=replica, last=last):
+                raise AssertionError(
+                    f"GET {path} on {replica} still answers {self.poll_timeout}s after the delete; last read: {last}"
+                )
+
+    @staticmethod
+    def _reader[R: BaseModel](transport: Transport, path: str, response_type: type[R]) -> ReplicaRead[Result[R]]:
+        return lambda request_timeout: transport.get(
+            path,
+            headers=transport.master,
+            params=NoBody(),
+            response_type=response_type,
+            timeout=request_timeout,
+        )
+
+    # ---- mcp toolsets ---------------------------------------------------
+
+    def create_toolset(self, body: ToolsetCreateBody) -> ToolsetRow:
+        return unwrap(
+            self.transport.post(
+                "/v1/mcp/toolset",
+                headers=self.transport.master,
+                json=body,
+                response_type=ToolsetRow,
+            )
+        )
+
+    def update_toolset(self, body: ToolsetUpdateBody) -> ToolsetRow:
+        """PUT /v1/mcp/toolset: a partial update where a field left unset keeps its
+        stored value and None clears it."""
+        return unwrap(
+            self.transport.put(
+                "/v1/mcp/toolset",
+                headers=self.transport.master,
+                json=body,
+                response_type=ToolsetRow,
+            )
+        )
+
+    def delete_toolset(self, toolset_id: str) -> Result[NoBody]:
+        """DELETE /v1/mcp/toolset/{toolset_id}. Returns the outcome so the act phase
+        can unwrap it while a deferred teardown can ignore an already-deleted row."""
+        return self.transport.delete(
+            f"/v1/mcp/toolset/{toolset_id}",
+            headers=self.transport.master,
+            json=NoBody(),
+            response_type=NoBody,
+        )
+
     def create_credential(self, body: CredentialCreateBody) -> None:
         unwrap(
             self.transport.post(
@@ -736,7 +941,10 @@ def build_proxy_client(
     base URLs are the same for a monolithic proxy, so routing is then a no-op.
     ``replica_urls`` (PROXY_REPLICA_URLS) names every data-plane replica the model
     barrier polls directly; it is the data-plane URL itself unless the stack
-    exports each gateway's own address.
+    exports each gateway's own address. Management read-backs poll those same
+    replicas when the two planes share a base URL (a monolith, where every replica
+    serves every route) and the control plane alone when they differ (a split
+    deployment, where the data-plane replicas do not serve management routes).
 
     The endpoints are injectable for callers that resolve the proxy some other
     way than ``e2e_config``'s env names (see ``claude_code/_env.py``); they must
@@ -764,9 +972,13 @@ def build_proxy_client(
             for url in replica_urls
         }
     )
+    control_replicas: Final = (
+        replicas if control_plane_base_url == base_url else MappingProxyType({control_plane_base_url: split.control})
+    )
     return ProxyClient(
         transport=split,
         replicas=replicas,
+        control_replicas=control_replicas,
         poll_timeout=POLL_TIMEOUT,
         poll_interval=POLL_INTERVAL,
     )
diff --git a/tests/e2e/router/test_auto_router_regressions_e2e.py b/tests/e2e/router/test_auto_router_regressions_e2e.py
index 188db2a8eb5..374badcf5fc 100644
--- a/tests/e2e/router/test_auto_router_regressions_e2e.py
+++ b/tests/e2e/router/test_auto_router_regressions_e2e.py
@@ -41,6 +41,7 @@ which stores either the registered alias or the provider-prefixed form.
 import json
 import os
 from collections.abc import Iterator
+from contextlib import ExitStack
 from dataclasses import dataclass
 from typing import Final
 
@@ -120,19 +121,10 @@ class ResponsesApiResponse(BaseModel):
 
 
 @dataclass(frozen=True, slots=True)
-class TagSplitDeployments:
-    """Scenario A mirrors the customer-shaped config from GitHub issue #36619:
-    plain deployment registered first, tier deployment and marker both tagged.
-    Scenario B flips both axes for GitHub issue #36621: marker registered first
-    and its tier deployment left untagged, so routing depends neither on
-    registration order nor on tier deployments carrying tags."""
-
-    tag_a: str
-    shared_a: str
-    tier_a: str
-    tag_b: str
-    shared_b: str
-    tier_b: str
+class TagSplitDeployment:
+    tag: str
+    shared: str
+    tier: str
 
 
 @dataclass(frozen=True, slots=True)
@@ -173,9 +165,7 @@ def _uniform_tier_config(tier_model: str) -> dict[str, object]:
     }
 
 
-def _key_for(
-    proxy: ProxyClient, resources: ResourceManager, models: list[str], tag_filtering: bool = False
-) -> str:
+def _key_for(proxy: ProxyClient, resources: ResourceManager, models: list[str], tag_filtering: bool = False) -> str:
     key: Final = proxy.generate_key(
         KeyGenerateBody(
             models=models,
@@ -211,46 +201,61 @@ def _assert_served_only_by(rows: list[SpendLogRow], allowed: frozenset[str], con
     )
 
 
-@pytest.fixture(scope="module")
-def split(proxy: ProxyClient) -> Iterator[TagSplitDeployments]:
+@pytest.fixture(scope="class")
+def router_stack() -> Iterator[ExitStack]:
+    with ExitStack() as stack:
+        yield stack
+
+
+def _register_models(
+    proxy: ProxyClient, stack: ExitStack, registrations: tuple[tuple[str, LiteLLMParamsBody], ...]
+) -> None:
+    for name, params in registrations:
+        stack.callback(proxy.delete_model, proxy.create_model(name, params))
+
+
+def _tag_split(proxy: ProxyClient, stack: ExitStack, *, marker_first: bool) -> TagSplitDeployment:
     marker: Final = unique_marker()
-    deployments: Final = TagSplitDeployments(
-        tag_a=f"e2e-split-a-{marker}",
-        shared_a=f"e2e-autoroute-a-{marker}",
-        tier_a=f"e2e-tier-a-{marker}",
-        tag_b=f"e2e-split-b-{marker}",
-        shared_b=f"e2e-autoroute-b-{marker}",
-        tier_b=f"e2e-tier-b-{marker}",
+    named: Final = TagSplitDeployment(
+        tag=f"e2e-split-{marker}",
+        shared=f"e2e-autoroute-{marker}",
+        tier=f"e2e-tier-{marker}",
     )
     anthropic_key: Final = _provider_key("ANTHROPIC_API_KEY")
-    marker_params_a: Final = LiteLLMParamsBody(
-        model="auto_router/complexity_router",
-        complexity_router_config=_uniform_tier_config(deployments.tier_a),
-        tags=[deployments.tag_a],
+    marker_registration: Final = (
+        named.shared,
+        LiteLLMParamsBody(
+            model="auto_router/complexity_router",
+            complexity_router_config=_uniform_tier_config(named.tier),
+            tags=[named.tag],
+        ),
     )
-    marker_params_b: Final = LiteLLMParamsBody(
-        model="auto_router/complexity_router",
-        complexity_router_config=_uniform_tier_config(deployments.tier_b),
-        tags=[deployments.tag_b],
+    tier_registration: Final = (
+        named.tier,
+        LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key, tags=None if marker_first else [named.tag]),
     )
-    registrations: Final[tuple[tuple[str, LiteLLMParamsBody], ...]] = (
-        (deployments.shared_a, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key)),
-        (deployments.tier_a, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key, tags=[deployments.tag_a])),
-        (deployments.shared_a, marker_params_a),
-        (deployments.shared_b, marker_params_b),
-        (deployments.tier_b, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key)),
-        (deployments.shared_b, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key)),
+    plain_registration: Final = (named.shared, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key))
+    registrations: Final = (
+        (marker_registration, tier_registration, plain_registration)
+        if marker_first
+        else (plain_registration, tier_registration, marker_registration)
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield deployments
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, stack, registrations)
+    return named
 
 
-@pytest.fixture(scope="module")
-def zero_priced_alias(proxy: ProxyClient) -> Iterator[ZeroPricedAlias]:
+@pytest.fixture(scope="class")
+def plain_first_split(proxy: ProxyClient, router_stack: ExitStack) -> TagSplitDeployment:
+    return _tag_split(proxy, router_stack, marker_first=False)
+
+
+@pytest.fixture(scope="class")
+def marker_first_split(proxy: ProxyClient, router_stack: ExitStack) -> TagSplitDeployment:
+    return _tag_split(proxy, router_stack, marker_first=True)
+
+
+@pytest.fixture(scope="class")
+def zero_priced_alias(proxy: ProxyClient, router_stack: ExitStack) -> ZeroPricedAlias:
     marker: Final = unique_marker()
     named: Final = ZeroPricedAlias(alias=f"e2e-priced-alias-{marker}", tier=f"e2e-priced-tier-{marker}")
     alias_params: Final = LiteLLMParamsBody(
@@ -263,16 +268,12 @@ def zero_priced_alias(proxy: ProxyClient) -> Iterator[ZeroPricedAlias]:
         (named.tier, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))),
         (named.alias, alias_params),
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield named
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, router_stack, registrations)
+    return named
 
 
-@pytest.fixture(scope="module")
-def heuristic_split(proxy: ProxyClient) -> Iterator[HeuristicSplit]:
+@pytest.fixture(scope="class")
+def heuristic_split(proxy: ProxyClient, router_stack: ExitStack) -> HeuristicSplit:
     marker: Final = unique_marker()
     named: Final = HeuristicSplit(
         alias=f"e2e-heuristic-router-{marker}",
@@ -289,16 +290,12 @@ def heuristic_split(proxy: ProxyClient) -> Iterator[HeuristicSplit]:
         (named.strong, LiteLLMParamsBody(model=STRONG_MODEL, api_key=_provider_key("OPENAI_API_KEY"))),
         (named.alias, LiteLLMParamsBody(model="auto_router/complexity_router", complexity_router_config=config)),
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield named
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, router_stack, registrations)
+    return named
 
 
-@pytest.fixture(scope="module")
-def semantic_auto_router(proxy: ProxyClient) -> Iterator[SemanticAutoRouter]:
+@pytest.fixture(scope="class")
+def semantic_auto_router(proxy: ProxyClient, router_stack: ExitStack) -> SemanticAutoRouter:
     marker: Final = unique_marker()
     named: Final = SemanticAutoRouter(
         marker=f"e2e-semantic-router-{marker}",
@@ -321,16 +318,12 @@ def semantic_auto_router(proxy: ProxyClient) -> Iterator[SemanticAutoRouter]:
         (named.fallback, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))),
         (named.marker, marker_params),
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield named
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, router_stack, registrations)
+    return named
 
 
-@pytest.fixture(scope="module")
-def credentialed_alias(proxy: ProxyClient) -> Iterator[CredentialedAlias]:
+@pytest.fixture(scope="class")
+def credentialed_alias(proxy: ProxyClient, router_stack: ExitStack) -> CredentialedAlias:
     marker: Final = unique_marker()
     named: Final = CredentialedAlias(alias=f"e2e-cred-alias-{marker}", tier=f"e2e-cred-tier-{marker}")
     alias_params: Final = LiteLLMParamsBody(
@@ -342,104 +335,110 @@ def credentialed_alias(proxy: ProxyClient) -> Iterator[CredentialedAlias]:
         (named.tier, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))),
         (named.alias, alias_params),
     )
-    created: Final = tuple(proxy.create_model(name, params) for name, params in registrations)
-    try:
-        yield named
-    finally:
-        for model_id in created:
-            proxy.delete_model(model_id)
+    _register_models(proxy, router_stack, registrations)
+    return named
 
 
 class TestTagSplitRouting:
     @pytest.mark.covers("reliability.routing.tagged_marker.request_tag_selects_marker")
     def test_body_tagged_chat_routes_through_the_marker_to_its_tier(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins GitHub issue #36619: with tag filtering on, a chat request whose
         body metadata tags match the tagged marker under a shared model name is
         answered by the marker's tier deployment, not by the plain deployment
         that was registered under the name first."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
-        chat: Final = unwrap(proxy.chat(key, _hello_chat_body(split.shared_a, tags=[split.tag_a])))
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
+        chat: Final = unwrap(proxy.chat(key, _hello_chat_body(plain_first_split.shared, tags=[plain_first_split.tag])))
         assert chat.choices, "tagged chat through the shared name returned no choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "body-tagged chat on the shared name")
+        _assert_served_only_by(rows, CHEAP_SERVED | {plain_first_split.tier}, "body-tagged chat on the shared name")
 
     @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment")
     def test_untagged_chat_is_always_served_by_the_plain_deployment(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins GitHub issue #36620: untagged chat requests to the shared name
         succeed on every call and are all served by the plain deployment; the
         tagged marker never captures them, so no intermittent auto-router
         errors and no tier hijacking."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
         for _ in range(5):
-            chat = unwrap(proxy.chat(key, _hello_chat_body(split.shared_a)))
+            chat = unwrap(proxy.chat(key, _hello_chat_body(plain_first_split.shared)))
             assert chat.choices, "untagged chat through the shared name returned no choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=5)
-        _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged chat on the shared name")
+        _assert_served_only_by(rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged chat on the shared name")
 
     @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment")
     def test_untagged_messages_is_served_by_the_plain_deployment(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins GitHub issue #36620 on the /v1/messages surface: an untagged
         Anthropic-native request to the shared name is served by the plain
         deployment, not captured by the tagged marker."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
-        answer: Final = unwrap(proxy.messages(key, _hello_messages_body(split.shared_a)))
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
+        answer: Final = unwrap(proxy.messages(key, _hello_messages_body(plain_first_split.shared)))
         assert answer.content or answer.choices, "untagged /v1/messages returned neither content nor choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged /v1/messages on the shared name")
+        _assert_served_only_by(
+            rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged /v1/messages on the shared name"
+        )
 
 
 class TestUntaggedTierDeployments:
     @pytest.mark.covers("reliability.routing.tagged_marker.header_tag_selects_marker")
     def test_header_tagged_messages_routes_through_the_marker_to_an_untagged_tier(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment
     ) -> None:
         """Pins GitHub issue #36621: a /v1/messages request tagged only via the
         x-litellm-tags header selects the tagged marker, and the rewrite still
         lands on the tier deployment even though that deployment carries no
         tags, because the marker consumed the routing tags."""
-        key: Final = _key_for(proxy, resources, [split.shared_b, split.tier_b], tag_filtering=True)
-        headers: Final = TaggedAnthropicHeaders(authorization=f"Bearer {key}", x_litellm_tags=split.tag_b)
+        key: Final = _key_for(
+            proxy, resources, [marker_first_split.shared, marker_first_split.tier], tag_filtering=True
+        )
+        headers: Final = TaggedAnthropicHeaders(authorization=f"Bearer {key}", x_litellm_tags=marker_first_split.tag)
         answer: Final = unwrap(
             proxy.transport.post(
                 "/v1/messages",
                 headers=headers,
-                json=_hello_messages_body(split.shared_b),
+                json=_hello_messages_body(marker_first_split.shared),
                 response_type=AnthropicMessagesResponse,
             )
         )
         assert answer.content or answer.choices, "header-tagged /v1/messages returned neither content nor choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_b}, "header-tagged /v1/messages on the shared name")
+        _assert_served_only_by(
+            rows, CHEAP_SERVED | {marker_first_split.tier}, "header-tagged /v1/messages on the shared name"
+        )
 
     @pytest.mark.covers("reliability.routing.tagged_marker.untagged_tier_deployments_still_served")
     def test_body_tagged_chat_reaches_the_untagged_tier_after_marker_rewrite(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment
     ) -> None:
         """Pins the tag-consumption half of GitHub issue #36621: after the
         tagged marker rewrites the request to its tier model, the consumed
         routing tags no longer constrain deployment selection, so the untagged
         tier deployment serves the request instead of a strict-tag denial."""
-        key: Final = _key_for(proxy, resources, [split.shared_b, split.tier_b], tag_filtering=True)
-        chat: Final = unwrap(proxy.chat(key, _hello_chat_body(split.shared_b, tags=[split.tag_b])))
+        key: Final = _key_for(
+            proxy, resources, [marker_first_split.shared, marker_first_split.tier], tag_filtering=True
+        )
+        chat: Final = unwrap(
+            proxy.chat(key, _hello_chat_body(marker_first_split.shared, tags=[marker_first_split.tag]))
+        )
         assert chat.choices, "body-tagged chat through the marker-first shared name returned no choices"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_b}, "body-tagged chat with untagged tier")
+        _assert_served_only_by(rows, CHEAP_SERVED | {marker_first_split.tier}, "body-tagged chat with untagged tier")
 
     @pytest.mark.covers("reliability.routing.tagged_marker.tag_semantics_stay_strict")
     def test_tagged_call_straight_at_an_untagged_deployment_stays_denied(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment
     ) -> None:
         """The tag-consumption fix must not loosen strict tag semantics: a
         tagged request aimed directly at an untagged deployment (no marker
         involved) is still rejected with the 401 tags-configuration error."""
-        key: Final = _key_for(proxy, resources, [split.tier_b], tag_filtering=True)
-        result: Final = proxy.chat(key, _hello_chat_body(split.tier_b, tags=[split.tag_b]))
+        key: Final = _key_for(proxy, resources, [marker_first_split.tier], tag_filtering=True)
+        result: Final = proxy.chat(key, _hello_chat_body(marker_first_split.tier, tags=[marker_first_split.tag]))
         assert isinstance(result, UnauthorizedError), (
             f"expected the tagged direct call to an untagged deployment to be denied with 401, got {result}"
         )
@@ -451,37 +450,39 @@ class TestUntaggedTierDeployments:
 class TestResponsesApiTagRouting:
     @pytest.mark.covers("reliability.routing.tagged_marker.responses_input_routes_through_marker")
     def test_header_tagged_responses_with_string_input_routes_to_the_tier(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins the /v1/responses surface of the tag split (GitHub issues
         #36620/#36621): a /v1/responses request with string input, tagged via
         the x-litellm-tags header, succeeds and routes through the tagged
         marker to its tier."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
-        headers: Final = TaggedAuthHeaders(authorization=f"Bearer {key}", x_litellm_tags=split.tag_a)
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
+        headers: Final = TaggedAuthHeaders(authorization=f"Bearer {key}", x_litellm_tags=plain_first_split.tag)
         body: Final = ResponsesBody(
-            model=split.shared_a, input=f"say hello {unique_marker()}", max_output_tokens=64
+            model=plain_first_split.shared, input=f"say hello {unique_marker()}", max_output_tokens=64
         )
         answer: Final = unwrap(
             proxy.transport.post("/v1/responses", headers=headers, json=body, response_type=ResponsesApiResponse)
         )
         assert answer.id, "header-tagged /v1/responses returned no response id"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "header-tagged /v1/responses string input")
+        _assert_served_only_by(
+            rows, CHEAP_SERVED | {plain_first_split.tier}, "header-tagged /v1/responses string input"
+        )
 
     @pytest.mark.covers("reliability.routing.tagged_marker.responses_input_routes_through_marker")
     def test_body_tagged_responses_with_list_input_routes_to_the_tier(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins the body-tag and list-input combination of the same split:
         /v1/responses with litellm_metadata.tags and structured input items
         routes through the tagged marker to its tier."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
         body: Final = ResponsesBody(
-            model=split.shared_a,
+            model=plain_first_split.shared,
             input=[ResponsesInputItem(role="user", content=f"say hello {unique_marker()}")],
             max_output_tokens=64,
-            litellm_metadata=ResponsesTagMetadata(tags=[split.tag_a]),
+            litellm_metadata=ResponsesTagMetadata(tags=[plain_first_split.tag]),
         )
         answer: Final = unwrap(
             proxy.transport.post(
@@ -493,18 +494,18 @@ class TestResponsesApiTagRouting:
         )
         assert answer.id, "body-tagged /v1/responses returned no response id"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "body-tagged /v1/responses list input")
+        _assert_served_only_by(rows, CHEAP_SERVED | {plain_first_split.tier}, "body-tagged /v1/responses list input")
 
     @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment")
     def test_untagged_responses_is_served_by_the_plain_deployment(
-        self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments
+        self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment
     ) -> None:
         """Pins the untagged half of the /v1/responses tag split: an untagged
         request to the shared name is served by the plain deployment, matching
         the chat and messages surfaces."""
-        key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True)
+        key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True)
         body: Final = ResponsesBody(
-            model=split.shared_a, input=f"say hello {unique_marker()}", max_output_tokens=64
+            model=plain_first_split.shared, input=f"say hello {unique_marker()}", max_output_tokens=64
         )
         answer: Final = unwrap(
             proxy.transport.post(
@@ -516,7 +517,9 @@ class TestResponsesApiTagRouting:
         )
         assert answer.id, "untagged /v1/responses returned no response id"
         rows: Final = proxy.poll_logs_for_key(key, min_rows=1)
-        _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged /v1/responses on the shared name")
+        _assert_served_only_by(
+            rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged /v1/responses on the shared name"
+        )
 
 
 class TestStrategyAliasPricing:
@@ -551,9 +554,7 @@ class TestComplexityHeuristicScope:
         while the accompanying ~2KB agent system prompt is packed with enough
         reasoning and complexity keywords that scoring the combined text lands
         in REASONING; only ask-only scoring keeps this on the cheap tier."""
-        key: Final = _key_for(
-            proxy, resources, [heuristic_split.alias, heuristic_split.cheap, heuristic_split.strong]
-        )
+        key: Final = _key_for(proxy, resources, [heuristic_split.alias, heuristic_split.cheap, heuristic_split.strong])
         body: Final = ChatBody(
             model=heuristic_split.alias,
             messages=[
diff --git a/tests/e2e/test_e2e_http.py b/tests/e2e/test_e2e_http.py
index 66841725d1d..81cd6c8d3d1 100644
--- a/tests/e2e/test_e2e_http.py
+++ b/tests/e2e/test_e2e_http.py
@@ -13,13 +13,24 @@ monkeypatches anything.
 from __future__ import annotations
 
 from collections.abc import Callable, Iterator, Mapping, Sequence
-from dataclasses import dataclass, field
+from dataclasses import dataclass
 from types import MappingProxyType
 from typing import Final
 
 import pytest
-
-from e2e_http import RETRY_ATTEMPTS, TRANSIENT_STATUSES, request_with_retry, streaming_outcome
+from e2e_http import (
+    RETRY_ATTEMPTS,
+    TRANSIENT_STATUSES,
+    NoBody,
+    PartialBody,
+    Success,
+    ValidationError,
+    classify,
+    request_with_retry,
+    streaming_outcome,
+    wire_body,
+)
+from pydantic import BaseModel, TypeAdapter
 
 
 @dataclass
@@ -33,10 +44,10 @@ class FakeResponse:
 
 @dataclass
 class SleepRecorder:
-    delays: list[float] = field(default_factory=list)
+    delays: tuple[float, ...] = ()
 
     def __call__(self, seconds: float) -> None:
-        self.delays.append(seconds)
+        self.delays += (seconds,)
 
 
 def _issue_from(responses: Sequence[FakeResponse]) -> Callable[[], FakeResponse]:
@@ -55,7 +66,7 @@ class TestTransientRetryPolicy:
         sleep = SleepRecorder()
         result = request_with_retry(_issue_from(responses), sleep=sleep)
         assert result is responses[0]
-        assert sleep.delays == []
+        assert sleep.delays == ()
         assert responses[0].close_calls == 0
 
     def test_429_is_never_retried(self) -> None:
@@ -63,7 +74,7 @@ class TestTransientRetryPolicy:
         sleep = SleepRecorder()
         result = request_with_retry(_issue_from(responses), sleep=sleep)
         assert result is responses[0]
-        assert sleep.delays == []
+        assert sleep.delays == ()
         assert responses[0].close_calls == 0
 
     def test_overloaded_529_retries_with_backoff_then_returns_the_success(self) -> None:
@@ -71,7 +82,7 @@ class TestTransientRetryPolicy:
         sleep = SleepRecorder()
         result = request_with_retry(_issue_from(responses), sleep=sleep)
         assert result is responses[1]
-        assert sleep.delays == [0.5]
+        assert sleep.delays == (0.5,)
         assert responses[0].close_calls == 1
         assert responses[1].close_calls == 0
 
@@ -80,7 +91,7 @@ class TestTransientRetryPolicy:
         sleep = SleepRecorder()
         result = request_with_retry(_issue_from(responses), sleep=sleep)
         assert result is responses[RETRY_ATTEMPTS - 1]
-        assert sleep.delays == [0.5, 1.0]
+        assert sleep.delays == (0.5, 1.0)
         assert [r.close_calls for r in responses] == [1, 1, 0, 0]
 
 
@@ -134,3 +145,65 @@ class TestStreamEventArrivals:
         assert result.stream_events == []
         assert result.stream_event_arrivals == []
         assert result.body == "bad request"
+
+
+class _ServerUpdate(PartialBody):
+    server_id: str
+    alias: str | None = None
+    description: str | None = None
+
+
+class _ServerCreate(BaseModel):
+    alias: str
+    description: str | None = None
+
+
+class TestWireBody:
+    """A partial-update body must put exactly the caller's choice on the wire: an
+    omitted field stays off it so the route keeps the stored value, and an explicit
+    None goes out as JSON null so the route clears it. Plain bodies keep dropping
+    None, which is what every create route expects."""
+
+    def test_partial_body_omits_unset_fields_and_sends_explicit_none_as_null(self) -> None:
+        assert wire_body(_ServerUpdate(server_id="s1", description=None)) == {"server_id": "s1", "description": None}
+        assert wire_body(_ServerUpdate(server_id="s1", alias="renamed")) == {"server_id": "s1", "alias": "renamed"}
+
+    def test_plain_body_drops_none_fields(self) -> None:
+        assert wire_body(_ServerCreate(alias="a", description=None)) == {"alias": "a"}
+
+
+_JSON: Final[TypeAdapter[object]] = TypeAdapter(object)
+
+
+@dataclass
+class FakeJsonResponse:
+    """The `classify` view of a response: a status, the raw body bytes, and the
+    parse that would raise on an empty one."""
+
+    status_code: int
+    content: bytes
+
+    @property
+    def ok(self) -> bool:
+        return self.status_code < 400
+
+    @property
+    def text(self) -> str:
+        return self.content.decode()
+
+    def json(self) -> object:
+        return _JSON.validate_json(self.content)
+
+
+class TestClassifyEmptyBody:
+    """A delete that answers 202 with no body is a success, not a parse failure:
+    the MCP server and toolset delete routes both answer that way, and reading it
+    as a failure would hide a delete that did not happen behind one that did."""
+
+    def test_empty_2xx_body_is_a_success(self) -> None:
+        result: Final = classify(FakeJsonResponse(status_code=202, content=b""), NoBody)
+        assert isinstance(result, Success) and result.status_code == 202
+
+    def test_body_that_is_not_json_is_still_a_validation_failure(self) -> None:
+        result: Final = classify(FakeJsonResponse(status_code=200, content=b"<html/>"), NoBody)
+        assert isinstance(result, ValidationError)
diff --git a/tests/e2e/test_proxy_client.py b/tests/e2e/test_proxy_client.py
index 2caac58333f..3b84a47e3cc 100644
--- a/tests/e2e/test_proxy_client.py
+++ b/tests/e2e/test_proxy_client.py
@@ -15,28 +15,35 @@ from collections.abc import Iterable, Mapping
 from dataclasses import dataclass
 from itertools import chain, repeat
 from types import MappingProxyType
-from typing import Final
+from typing import Final, cast
 
 import pytest
-
 from e2e_config import parse_replica_urls
 from e2e_http import Result, Success
 from models import KeyInfo, KeyInfoResponse, ModelListEntry, ModelsListResponse
 from proxy_client import (
-    Poller,
     ConvergeOutcome,
     Converged,
+    EverywhereConverged,
     ModelsPoller,
+    NeverConvergedOn,
     NotConverged,
     NotServableOn,
+    Poller,
+    ProxyClient,
+    ReplicaRead,
     Servable,
     await_converged_everywhere,
+    await_everywhere,
     await_servable_everywhere,
-    first_lagging_replica,
+    build_proxy_client,
     converge_timeout_message,
+    first_lagging_replica,
 )
+from transport import Transport
 
 MODEL: Final = "gpt-under-test"
+_NO_TRANSPORTS: Final = cast(Transport, None)
 TIMEOUT: Final = 10.0
 INTERVAL: Final = 2.0
 RPM_BEFORE_UPDATE: Final = 100
@@ -187,3 +194,83 @@ class TestParseReplicaUrls:
 
     def test_falls_back_to_the_data_plane_address_when_unset(self) -> None:
         assert parse_replica_urls("", "http://lb") == ("http://lb",)
+
+
+def _answers(answers: Iterable[str]) -> ReplicaRead[str]:
+    it: Final = iter(answers)
+    return lambda _timeout: next(it)
+
+
+def _await_everywhere(reads: Mapping[str, ReplicaRead[str]]) -> EverywhereConverged[str] | NeverConvergedOn[str]:
+    clock: Final = FakeClock()
+    return await_everywhere(
+        reads,
+        settled=lambda answer: answer == "renamed",
+        timeout=TIMEOUT,
+        interval=INTERVAL,
+        request_timeout=5.0,
+        now=clock.now,
+        sleep=clock.sleep,
+    )
+
+
+class TestAwaitEverywhere:
+    def test_waits_for_the_lagging_replica_and_returns_every_settled_answer(self) -> None:
+        reads: Final = {
+            "gateway-1": _answers(repeat("renamed")),
+            "gateway-2": _answers(chain(repeat("stale", 2), repeat("renamed"))),
+        }
+        outcome: Final = _await_everywhere(reads)
+        assert isinstance(outcome, EverywhereConverged)
+        assert dict(outcome.answers) == {"gateway-1": "renamed", "gateway-2": "renamed"}
+
+    def test_names_the_replica_that_never_converges_with_what_it_last_served(self) -> None:
+        reads: Final = {
+            "gateway-1": _answers(repeat("renamed")),
+            "gateway-2": _answers(repeat("stale")),
+        }
+        assert _await_everywhere(reads) == NeverConvergedOn(replica="gateway-2", last="stale")
+
+    def test_polls_until_the_deadline_before_giving_up(self) -> None:
+        lagging: Final = chain(repeat("stale", int(TIMEOUT / INTERVAL)), repeat("renamed"))
+        outcome: Final = _await_everywhere({"gateway-1": _answers(lagging)})
+        assert isinstance(outcome, EverywhereConverged), outcome
+
+
+class TestReplicasFor:
+    def test_split_deployment_reads_management_routes_back_from_the_control_plane(self) -> None:
+        client: Final = build_proxy_client(
+            base_url="http://lb",
+            control_plane_base_url="http://backend",
+            replica_urls=("http://gateway-1", "http://gateway-2"),
+        )
+        assert set(client.replicas_for("/key/info")) == {"http://backend"}
+        assert set(client.replicas_for("/v1/models")) == {"http://gateway-1", "http://gateway-2"}
+
+    def test_monolith_reads_management_routes_back_from_every_replica(self) -> None:
+        client: Final = build_proxy_client(
+            base_url="http://lb",
+            control_plane_base_url="http://lb",
+            replica_urls=("http://pod-1", "http://pod-2"),
+        )
+        assert set(client.replicas_for("/key/info")) == {"http://pod-1", "http://pod-2"}
+
+    def test_mcp_admin_routes_read_back_from_every_data_plane_replica(self) -> None:
+        """/v1/mcp/* is a lazily mounted feature, so a data-plane replica serves it
+        too and answers from its own in-memory registry. Routing it to the control
+        plane would leave every replica but that one unproven, and would move the
+        tools/list barrier in mcp_client off the plane that serves tools/list."""
+        client: Final = build_proxy_client(
+            base_url="http://lb",
+            control_plane_base_url="http://backend",
+            replica_urls=("http://gateway-1", "http://gateway-2"),
+        )
+        assert set(client.replicas_for("/v1/mcp/server/abc")) == {"http://gateway-1", "http://gateway-2"}
+        assert set(client.replicas_for("/v1/mcp/toolset/abc")) == {"http://gateway-1", "http://gateway-2"}
+
+    def test_a_route_no_replica_serves_is_refused_rather_than_read_back_vacuously(self) -> None:
+        """A read-back over zero replicas would satisfy every predicate and assert
+        nothing, so asking for one fails instead of passing silently."""
+        client: Final = ProxyClient(transport=_NO_TRANSPORTS, replicas={}, control_replicas={})
+        with pytest.raises(AssertionError, match="no replica is configured"):
+            _ = client.replicas_for("/v1/models")
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_partial_update.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_partial_update.py
index c0d055edb7f..669e094fee4 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_partial_update.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_partial_update.py
@@ -1,10 +1,11 @@
 """
-Tests for partial-update semantics of PUT /v1/mcp/server.
+Tests for partial-update semantics of PUT /v1/mcp/server and PUT /v1/mcp/toolset.
 
 A partial update must only write the fields the caller explicitly provided.
 Omitting a field must NOT reset it to its Pydantic schema default (e.g.
 ``transport=sse``, ``mcp_access_groups=[]``, ``allow_all_keys=False``), which
-would silently overwrite the existing DB row.
+would silently overwrite the existing DB row, and a field the caller sent as null
+must be cleared rather than left at its stored value.
 """
 
 import json
@@ -850,3 +851,69 @@ async def test_cf_pair_switch_does_not_clear_dcr_bridge():
     data = UpdateMCPServerRequest(server_id="s", auth_type="oauth_delegate")
     data_dict = await _run_update_with_existing(data, existing_auth_type="true_passthrough")
     assert "dcr_bridge" not in data_dict
+
+
+def _mock_toolset_prisma():
+    """A prisma double whose update answers with a row the reader can expand, so the
+    call under test returns instead of failing inside the row mapper."""
+    updated_row = MagicMock()
+    updated_row.model_dump.return_value = {
+        "toolset_id": "ts-1",
+        "toolset_name": "ops",
+        "description": None,
+        "tools": "[]",
+    }
+    mock_prisma = MagicMock()
+    mock_prisma.db.litellm_mcptoolsettable = AsyncMock()
+    mock_prisma.db.litellm_mcptoolsettable.update = AsyncMock(return_value=updated_row)
+    return mock_prisma
+
+
+async def _run_toolset_update(payload: dict) -> dict:
+    """The columns PUT /v1/mcp/toolset writes for this payload, minus the audit stamp
+    every write carries. The prisma double is injected, so nothing is patched."""
+    from litellm.proxy._experimental.mcp_server.toolset_db import update_mcp_toolset
+    from litellm.types.mcp_server.mcp_toolset import UpdateMCPToolsetRequest
+
+    mock_prisma = _mock_toolset_prisma()
+    await update_mcp_toolset(mock_prisma, UpdateMCPToolsetRequest.model_validate(payload), "test-user")
+    written = dict(mock_prisma.db.litellm_mcptoolsettable.update.call_args[1]["data"])
+    assert written["updated_by"] == "test-user"
+    return {name: value for name, value in written.items() if name != "updated_by"}
+
+
+@pytest.mark.asyncio
+async def test_toolset_partial_update_clears_description_on_explicit_null():
+    """The dump used to drop None, so a null description could never clear the stored
+    one: the toolset kept a description its owner had deleted."""
+    assert await _run_toolset_update({"toolset_id": "ts-1", "description": None}) == {"description": None}
+
+
+@pytest.mark.asyncio
+async def test_toolset_partial_update_omits_the_fields_the_caller_left_out():
+    tools = [{"server_id": "s1", "tool_name": "alpha"}]
+    assert await _run_toolset_update({"toolset_id": "ts-1", "tools": tools}) == {"tools": json.dumps(tools)}
+
+
+@pytest.mark.asyncio
+async def test_toolset_partial_update_ignores_null_tools_rather_than_revoking_them():
+    """A client that sends tools=null means "leave the selection alone", so the grants
+    survive. Clearing them is an explicit [], which cannot be confused with an omitted
+    field; treating null as a clear would silently revoke every tool the toolset grants."""
+    assert await _run_toolset_update({"toolset_id": "ts-1", "tools": None, "description": "kept"}) == {
+        "description": "kept"
+    }
+
+
+@pytest.mark.asyncio
+async def test_toolset_partial_update_empties_the_selection_on_an_explicit_empty_list():
+    assert await _run_toolset_update({"toolset_id": "ts-1", "tools": []}) == {"tools": "[]"}
+
+
+@pytest.mark.asyncio
+async def test_toolset_partial_update_ignores_a_null_name():
+    """A toolset always has a name, so a null toolset_name is a no-op, not a clear
+    that would write a NOT NULL column to null."""
+    assert await _run_toolset_update({"toolset_id": "ts-1", "toolset_name": None, "description": "kept"}) == {
+        "description": "kept"
+    }

From e8e3172d7d70558929f32f057ebe4c7471c8c352 Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng@berri.ai>
Date: Tue, 8 Sep 2026 23:10:18 -0700
Subject: [PATCH 195/223] fix(model-management): honor an explicit null as a
 clear on model update (#40047)

* fix(model-management): honor an explicit null as a clear on model update

PATCH /model/{model_id}/update merged the patch with exclude_none and then
popped explicit nulls only for the mirrored pricing fields, so a null sent for
max_input_tokens, mode, supports_vision or any other key was dropped and a value
pinned by an earlier save could never be removed.

The route now follows JSON Merge Patch over both blobs: a key absent from the
body is unchanged, a key sent as null is removed from the stored row, and a key
sent with a value is set. Ownership and identity keys keep ignoring a null, as
do the fields the stored models require, since clearing one writes a row no
reload can rebuild. Mirrored pricing keys still clear from both blobs.

Clearing a price also needed the router to stop merging a deployment's cost-map
entry onto its previous registration, which left the old rate in place and kept
billing at a price the deployment no longer carried.

Adds a create, read, partial-update, clear, enforce, delete lifecycle e2e that
reads back on every replica, and a harness helper for that read-back.

* fix(router): keep a deployment id that names a real model from evicting its catalog entry

Deployments are keyed into litellm.model_cost alongside the built-in catalog, so
evicting a deployment's stale entry by id could take a real model's entry with it:
registering a deployment whose model_info.id is "gpt-4o" stripped that model's
pricing, context window and capability flags process-wide, for every other
deployment of it, until the next price-map reload.

Only evict an entry this registration owns. A colliding id keeps the previous
merge, which pollutes the catalog entry rather than emptying it.

Also pins the Admin UI round trip: the model edit form echoes the whole /model/info
row back on save, and that read reports every key the deployment never stored as an
explicit null, so the clear path has to leave those keys alone.

* fix(router): decide cost-map eviction by what this registrar created

The previous guard read a catalog entry off `litellm_provider`, so a deployment
that declares its own provider in model_info was treated as one and kept billing
at a price it no longer carried. It also only held for a single registration: a
second one under a colliding id saw the id the first merge left behind and
evicted the catalog entry anyway.

Track the cost-map keys this registrar creates instead. A key it created is
evicted before re-registration; one it did not is left to merge, which is what a
deployment id colliding with a catalog model name needs.

Also folds the required-fields comment into the docstring that already gives the
reason.

* fix(router): release a deployment's cost-map key when it is deleted

The ownership ledger only grew. A deleted deployment kept its claim, so if a
later catalog refresh started publishing a model under that same name, the next
registration would treat the catalog entry as the deployment's own and evict it.

Deleting a deployment now gives the key back, which also stops the ledger
growing for the life of the process.

* fix(router): hold a cost-map key while another live router still serves it

The claim is process-wide but the release was per-deletion, so with two routers
serving one deployment id, the first deletion put the survivor back on merging
and the price it had just cleared would keep billing.

Release the key only once no live router still serves that id.

* fix(router): register a router in the live set when it gains a deployment

_live_routers was only joined when a router was constructed with a model_list,
but a router built empty is populated through add_deployment, and the empty
branch exists for exactly that. Such a router was invisible to the live-router
scan, so deleting the deployment from another router released the shared
cost-map key while it was still serving that id.

Joining the set where a deployment enters the list covers every path, and it
also lets a price reload rebuild what a dynamically built router serves.

* fix(e2e): read the stored model row from the control plane, not each gateway

The lifecycle suite polled /model/info on every URL in PROXY_REPLICA_URLS. Those
URLs are the stack's gateways, and gateway/routes/allowlist.py trims them to the
LLM data-plane surface, so /model/info answers only on the backend and 404s on
every replica. All five tests failed at their first read-back in CI while passing
against a monolith, where one process serves both planes.

The stored row has one answer behind it, so it is read through the shared
transport, which routes control-plane paths to the backend. What every gateway
must agree on is which models it serves, so the create and delete steps poll
/v1/models per replica instead, a route the gateway does serve.
read_back_everywhere now rejects a control-plane path outright rather than
timing out on it.

Two things surfaced behind that. /public/ was missing from the transport's
control-plane prefixes, so model_cost_map() was routed to a gateway and 404'd,
and the billing steps needed a data-plane wait: a PATCH lands on the backend and
each gateway picks it up on its own config reload, measured here at 12-24s, so
they now drive calls until the new rate reaches the spend row and let the
deadline fail them.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01C1S92J8gSxxKVe1JBzxWBF

* test(models): keep polling outcomes immutable and document shared ownership

* test: validate opaque stream IDs and hide log-reader credentials

* test: isolate auto-router scenarios and clean partial setup

---------

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
---
 .../model_management_endpoints.py             |  70 +++-
 litellm/router.py                             |  26 +-
 tests/e2e/coverage_registry/mgmt.yaml         |   2 +
 .../management/test_model_lifecycle_e2e.py    | 365 ++++++++++++++++++
 tests/e2e/models.py                           |  74 +++-
 tests/e2e/proxy_client.py                     | 199 +++++++++-
 tests/e2e/test_proxy_client.py                |  57 ++-
 tests/e2e/transport.py                        |   1 +
 .../test_model_management_endpoints.py        | 178 ++++++++-
 .../test_router_model_cost_isolation.py       | 192 +++++++++
 ui/litellm-dashboard/src/lib/http/schema.d.ts |   5 +-
 11 files changed, 1130 insertions(+), 39 deletions(-)
 create mode 100644 tests/e2e/management/test_model_lifecycle_e2e.py

diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index 0f19e9ce149..742b9d9817f 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -119,6 +119,7 @@ from litellm.types.router import (
     SPECIAL_MODEL_INFO_PARAMS,
     Deployment,
     GenericLiteLLMParams,
+    LiteLLM_Params,
     ModelInfo,
     updateDeployment,
 )
@@ -728,6 +729,44 @@ def _ptu_priced_deployment(model_params: Deployment) -> Deployment:
     )
 
 
+_OWNERSHIP_FIELDS: Final = frozenset(
+    {
+        "db_model",
+        "team_id",
+        "team_public_model_name",
+        "access_groups",
+        "created_at",
+        "created_by",
+        "updated_at",
+        "updated_by",
+        "blocked",
+    }
+)
+
+_STORED_REQUIRED_FIELDS: Final = frozenset(
+    name for model in (LiteLLM_Params, ModelInfo) for name, field in model.model_fields.items() if field.is_required()
+)
+
+_NULL_CLEAR_IGNORED_FIELDS: Final = _OWNERSHIP_FIELDS | _STORED_REQUIRED_FIELDS | frozenset(PTU_MODEL_INFO_FIELDS)
+
+
+def _explicitly_cleared_fields(patch: BaseModel | None) -> frozenset[str]:
+    """The keys a patch sends as an explicit null, which update_db_model removes from the
+    stored blob (JSON Merge Patch). Ownership keys are left alone, as are the keys the stored
+    models require, since clearing one writes a row no reload can rebuild through
+    LiteLLM_Params / ModelInfo. The PTU keys are handled by _explicitly_cleared_ptu_fields,
+    whose clear is gated on the feature flag. Applied after both blobs merge, so a model_info blob
+    the UI echoes back cannot resurrect a pricing key the litellm_params patch clears.
+    """
+    if patch is None:
+        return frozenset()
+    return frozenset(
+        field
+        for field in patch.model_fields_set
+        if field not in _NULL_CLEAR_IGNORED_FIELDS and getattr(patch, field) is None
+    )
+
+
 def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> PrismaCompatibleUpdateDBModel:
     if updated_patch.model_info is not None:
         _raise_if_ptu_cost_attribution_disabled(updated_patch.model_info.model_dump(exclude_none=True))
@@ -748,25 +787,15 @@ def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> Pr
     if updated_patch.model_info:
         merged_model_info.update(updated_patch.model_info.model_dump(exclude_none=True))
 
-    # Honor explicit-null clears LAST, after both merges, so a model_info blob the UI
-    # passes through (which today re-sends the OLD pricing on every save) cannot
-    # silently undo a litellm_params clear via .update().
-    #
-    # Restricted to SPECIAL_MODEL_INFO_PARAMS (input/output cost per token/character
-    # and cache read/write costs) so this path cannot be used to null out privileged
-    # model_info fields like team_id or access groups. SPECIAL_MODEL_INFO_PARAMS are
-    # mirrored between litellm_params and model_info by Deployment.__init__, so the
-    # clear propagates to both blobs.
-    if updated_patch.litellm_params:
-        for field in updated_patch.litellm_params.model_fields_set:
-            if field in SPECIAL_MODEL_INFO_PARAMS and getattr(updated_patch.litellm_params, field) is None:
-                merged_litellm_params.pop(field, None)
-                merged_model_info.pop(field, None)
+    for field in _explicitly_cleared_fields(updated_patch.litellm_params):
+        merged_litellm_params.pop(field, None)
+        if field in SPECIAL_MODEL_INFO_PARAMS:
+            merged_model_info.pop(field, None)
+    for field in _explicitly_cleared_fields(updated_patch.model_info):
+        merged_model_info.pop(field, None)
+        if field in SPECIAL_MODEL_INFO_PARAMS:
+            merged_litellm_params.pop(field, None)
     if updated_patch.model_info:
-        for field in updated_patch.model_info.model_fields_set:
-            if field in SPECIAL_MODEL_INFO_PARAMS and getattr(updated_patch.model_info, field) is None:
-                merged_model_info.pop(field, None)
-                merged_litellm_params.pop(field, None)
         for field in _explicitly_cleared_ptu_fields(updated_patch.model_info):
             merged_model_info.pop(field, None)
 
@@ -816,8 +845,9 @@ async def patch_model(
     """
     PATCH Endpoint for partial model updates.
 
-    Only updates the fields specified in the request while preserving other existing values.
-    Follows proper PATCH semantics by only modifying provided fields.
+    JSON Merge Patch semantics over `litellm_params` and `model_info`: a key absent from the
+    body is unchanged, a key sent as null is removed from the stored row, and a key sent with a
+    value is set (identity and ownership keys such as `id` and `team_id` ignore a null).
 
     Args:
         model_id: The ID of the model to update
diff --git a/litellm/router.py b/litellm/router.py
index 934a4ac86a9..1252d7e7487 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -628,6 +628,15 @@ RETRY_BREADCRUMB_EXCLUDED_KWARGS: Final = frozenset(
 RETRY_BREADCRUMB_LIMIT: Final = 4
 
 
+# Cost-map keys created by _register_deployment_in_model_cost, which shares one flat
+# namespace with the built-in model catalog. Only a key it created may be evicted, or a
+# deployment whose id names a real model would strip that model's pricing and
+# capabilities for every other deployment of it. delete_deployment gives a key back once no
+# live router still serves that id, so a later catalog refresh that starts serving the name
+# is not treated as a deployment's own.
+_DEPLOYMENT_COST_MAP_KEYS: Final[set[str]] = set()  # mutable-ok: ownership of shared cost-map keys
+
+
 class FallbackAwareStreamWrapper(CustomStreamWrapper):
     """Base for the Router's chat-completion stream wrappers, which are built around the
     attempt the Router picked first and have to repoint themselves when a fallback takes over."""
@@ -9761,6 +9770,7 @@ class Router:
         """
         idx: Final = len(self.model_list)
         self.model_list.append(model)
+        _live_routers.add(self)  # mutable-ok: track dynamic routers without extending their lifetimes
         self._invalidate_model_group_info_cache()
         self._invalidate_access_groups_cache()
 
@@ -9929,7 +9939,12 @@ class Router:
         """Write a deployment's metadata into ``litellm.model_cost``.
 
         Runs when a deployment is added and again after a price data reload, so
-        the entries a refresh rebuilds are the ones a fresh boot would produce.
+        the entries a refresh rebuilds are the ones a fresh boot would produce. An
+        entry this function created is replaced rather than merged, so a price cleared
+        from the deployment does not linger from an earlier registration and keep
+        billing at the old rate. An entry it did not create is left to merge, because
+        a deployment id that collides with a catalog model name shares that model's
+        entry with every other deployment of it.
         Nothing is recorded for replay: a refresh walks the live routers instead,
         so a deleted, repointed or never-added deployment, and a discarded router,
         drop out of the rebuild on their own.
@@ -9946,6 +9961,10 @@ class Router:
             }
 
         if model_id is not None:
+            if model_id in _DEPLOYMENT_COST_MAP_KEYS:
+                litellm.model_cost.pop(model_id, None)  # mutable-ok: remove cleared prices from the shared entry
+            elif model_id not in litellm.model_cost:
+                _DEPLOYMENT_COST_MAP_KEYS.add(model_id)  # mutable-ok: retain shared ownership across reloads
             litellm.register_model(
                 model_cost={model_id: model_info},
                 persist_across_reloads=False,
@@ -10042,6 +10061,11 @@ class Router:
                 _budget_limiter: Final = self._get_router_deployment_budget_limiter()
                 if _budget_limiter is not None:
                     _budget_limiter.unregister_deployment_budget(model_id=id)
+                if not any(
+                    router is not self and id in router.model_id_to_deployment_index_map
+                    for router in tuple(_live_routers)
+                ):
+                    _DEPLOYMENT_COST_MAP_KEYS.discard(id)  # mutable-ok: the last owning router released this key
                 try:
                     self._unregister_pre_routing_strategy_for_deployment(
                         deployment=item if isinstance(item, Deployment) else Deployment(**item)
diff --git a/tests/e2e/coverage_registry/mgmt.yaml b/tests/e2e/coverage_registry/mgmt.yaml
index c8d7037d2fd..83f1711a245 100644
--- a/tests/e2e/coverage_registry/mgmt.yaml
+++ b/tests/e2e/coverage_registry/mgmt.yaml
@@ -76,6 +76,8 @@
 - {id: mgmt.credential_migration.check.happy_path, module: mgmt, tier: P2, surface: api, assertions: [happy_path], source: "key_management_endpoints.py:4252", rationale: "Encryption migration (smoke)"}
 - {id: mgmt.credential.new.serves_request, module: mgmt, tier: P1, surface: api, assertions: [serves_request], source: "credential_endpoints/endpoints.py:42", rationale: "Stored credential resolves into a deployment and serves a live /messages request"}
 - {id: mgmt.model.test_connection.happy_path, module: mgmt, tier: P0, surface: api, assertions: [happy_path], source: "_health_endpoints.py:1785", rationale: "Test Connection for a responses-mode Bedrock Mantle deployment reaches the live provider and reports success; this exact shape 500ed on an acompletion partial before v1.91.0", fail_before_fix: proven}
+- {id: mgmt.model.update.preserves_unrelated_fields, module: mgmt, tier: P0, surface: api, assertions: [preserves_unrelated_fields], source: "model_management_endpoints.py:731", rationale: "A partial PATCH changes only the keys it names; every other stored key reads back byte-for-byte, and the new rate reaches billing"}
+- {id: mgmt.model.update.clear_persists, module: mgmt, tier: P0, surface: api, assertions: [clear_persists], source: "model_management_endpoints.py:731", fail_before_fix: proven, rationale: "An explicit null on PATCH removes the key from the stored row and billing falls back to the cost map; before the fix only mirrored pricing keys could be cleared"}
 - {id: mgmt.mcp_server.new.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:1577", rationale: "Every field of an admin-created MCP server reads back verbatim, by id and in the list, on every replica"}
 - {id: mgmt.mcp_server.list.persists, module: mgmt, tier: P1, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:1112", rationale: "The MCP page grid lists a created server with the same field values its detail view reports"}
 - {id: mgmt.mcp_server.update.preserves_unrelated_fields, module: mgmt, tier: P0, surface: api, assertions: [preserves_unrelated_fields], source: "mcp_management_endpoints.py:2665", rationale: "A dashboard edit of one field leaves the others intact and is visible on every replica after one save; edits that took several saves to stick were a customer defect"}
diff --git a/tests/e2e/management/test_model_lifecycle_e2e.py b/tests/e2e/management/test_model_lifecycle_e2e.py
new file mode 100644
index 00000000000..99044efeb46
--- /dev/null
+++ b/tests/e2e/management/test_model_lifecycle_e2e.py
@@ -0,0 +1,365 @@
+"""Live e2e: the lifecycle of a DB-stored deployment through the model management
+routes, read back on every gateway replica.
+
+Each test registers its own gpt-4o-mini mock deployment through /model/new (deleted
+on teardown) with non-default pricing, context window, mode, and api_base pinned, then
+walks the lifecycle up to the step it proves: the create reads back field for field,
+a partial PATCH changes only the key it names, an explicit null on PATCH removes the
+key from the stored row (JSON Merge Patch), a call after the price clear is billed at
+the cost map's rate rather than the cleared override, and a delete removes the
+deployment from /model/info and makes the model name unknown to /chat/completions.
+
+The stored row is read back from /model/info, a control-plane route with one answer
+behind it. What every gateway must agree on is which models it serves, so the create
+and delete steps poll /v1/models on every URL in PROXY_REPLICA_URLS through
+ProxyClient.read_model_back_everywhere, failing by name on the gateway that never converged.
+"""
+
+from __future__ import annotations
+
+import math
+import time
+from collections.abc import Callable
+from dataclasses import dataclass
+from typing import Final
+
+import pytest
+from pydantic import BaseModel
+
+from e2e_config import unique_marker
+from e2e_http import unwrap
+from lifecycle import ResourceManager
+from management_client import ManagementClient
+from models import (
+    ChatBody,
+    ChatMessage,
+    Clear,
+    LiteLLMParamsBody,
+    LiteLLMParamsPatch,
+    ModelInfoBody,
+    ModelInfoEntry,
+    ModelInfoResponse,
+    ModelNewBody,
+    ModelPatchBody,
+    ModelsListResponse,
+    SpendLogRow,
+)
+
+pytestmark = pytest.mark.e2e
+
+BACKEND_MODEL: Final = "gpt-4o-mini"
+PINNED_API_BASE: Final = "https://pinned.example.invalid/v1"
+PINNED_MAX_INPUT_TOKENS: Final = 4096
+PINNED_INPUT_RATE: Final = 1e-05
+UPDATED_INPUT_RATE: Final = 2e-05
+PINNED_OUTPUT_RATE: Final = 3e-05
+
+# A PATCH lands on the control plane, and each gateway picks it up on its own config
+# reload, so the first call after the write can still be billed at the old rate. There
+# is no price on the gateway's data-plane surface to poll, so the billing steps drive
+# calls until the new rate shows up in the spend row and let the deadline be what fails.
+BILLING_CONVERGENCE_TIMEOUT: Final = 90.0
+BILLING_CONVERGENCE_INTERVAL: Final = 5.0
+
+
+@dataclass(frozen=True, slots=True)
+class Registered:
+    model_name: str
+    model_id: str
+
+
+class _ErrorDetail(BaseModel):
+    message: str
+
+
+class _ErrorEnvelope(BaseModel):
+    error: _ErrorDetail
+
+
+def _register(client: ManagementClient, resources: ResourceManager) -> Registered:
+    """Register a mock gpt-4o-mini deployment with every field under test pinned to a
+    non-default value, deleted on teardown. max_input_tokens is pinned in
+    litellm_params only: a value in model_info is copied into the shared cost-map
+    entry for the backend model, which would leak into every other gpt-4o-mini
+    deployment on the proxy."""
+    model_name: Final = f"e2e-lifecycle-{unique_marker()}"
+    model_id: Final = client.proxy.register_model(
+        ModelNewBody(
+            model_name=model_name,
+            litellm_params=LiteLLMParamsBody(
+                model=BACKEND_MODEL,
+                mock_response="ok",
+                api_base=PINNED_API_BASE,
+                input_cost_per_token=PINNED_INPUT_RATE,
+                output_cost_per_token=PINNED_OUTPUT_RATE,
+                max_input_tokens=PINNED_MAX_INPUT_TOKENS,
+            ),
+            model_info=ModelInfoBody(mode="chat"),
+        )
+    )
+    resources.defer(lambda: client.proxy.delete_model(model_id))
+    return Registered(model_name=model_name, model_id=model_id)
+
+
+def _entry(body: ModelInfoResponse, model_name: str) -> ModelInfoEntry | None:
+    return next((entry for entry in body.data if entry.model_name == model_name), None)
+
+
+def _stored_entry(
+    client: ManagementClient,
+    model_name: str,
+    *,
+    converged: Callable[[ModelInfoEntry], bool],
+) -> ModelInfoEntry:
+    """The stored /model/info row for `model_name`, once it satisfies `converged`.
+
+    /model/info is a control-plane route: the gateways named in PROXY_REPLICA_URLS
+    serve the LLM surface only, so the stored row has one answer, not one per
+    gateway. What every gateway must agree on is which models it serves, and
+    `_assert_served_everywhere` / `_assert_absent_everywhere` poll /v1/models for
+    that."""
+
+    def has_converged(body: ModelInfoResponse) -> bool:
+        entry: Final = _entry(body, model_name)
+        return entry is not None and converged(entry)
+
+    body: Final = client.proxy.read_model_back("/model/info", ModelInfoResponse, predicate=has_converged)
+    entry: Final = _entry(body, model_name)
+    assert entry is not None, f"/model/info stopped listing {model_name!r} between the poll and the read"
+    return entry
+
+
+def _serves(body: ModelsListResponse, model_name: str) -> bool:
+    return any(entry.id == model_name for entry in body.data)
+
+
+def _assert_served_everywhere(client: ManagementClient, model_name: str) -> None:
+    _ = client.proxy.read_model_back_everywhere(
+        "/v1/models", ModelsListResponse, predicate=lambda body: _serves(body, model_name)
+    )
+
+
+def _assert_absent_everywhere(client: ManagementClient, model_name: str) -> None:
+    _ = client.proxy.read_model_back_everywhere(
+        "/v1/models", ModelsListResponse, predicate=lambda body: not _serves(body, model_name)
+    )
+
+
+def _assert_untouched_keys_as_created(entry: ModelInfoEntry, replica: str) -> None:
+    """The keys no later step names read back byte-for-byte as /model/new wrote them."""
+    params: Final = entry.litellm_params
+    assert params.model == BACKEND_MODEL, f"{replica}: litellm_params.model {params.model!r} != {BACKEND_MODEL!r}"
+    assert params.api_base == PINNED_API_BASE, f"{replica}: api_base {params.api_base!r} != {PINNED_API_BASE!r}"
+    assert params.output_cost_per_token == PINNED_OUTPUT_RATE, (
+        f"{replica}: output_cost_per_token {params.output_cost_per_token} != {PINNED_OUTPUT_RATE}"
+    )
+    assert entry.model_info.mode == "chat", f"{replica}: model_info.mode {entry.model_info.mode!r} != 'chat'"
+
+
+def _approx_equal(actual: float, expected: float) -> bool:
+    return math.isclose(actual, expected, rel_tol=1e-2, abs_tol=1e-9)
+
+
+def _priced(rows: list[SpendLogRow]) -> bool:
+    return any(row.metadata and row.metadata.cost_breakdown and row.metadata.cost_breakdown.input_cost for row in rows)
+
+
+def _billed_input_cost(client: ManagementClient, model_name: str, key: str) -> tuple[int, float]:
+    """Drive one chat completion through `model_name` and return the prompt tokens and
+    input cost its spend row recorded, so a test can assert the rate the gateway actually
+    billed rather than only the rate it stored."""
+    chat: Final = unwrap(
+        client.proxy.chat(
+            key,
+            ChatBody(
+                model=model_name,
+                messages=[ChatMessage(role="user", content=f"reply with one word {unique_marker()}")],
+                max_tokens=16,
+            ),
+        )
+    )
+    assert chat.id is not None, f"chat completion carried no id to find its spend row by: {chat}"
+
+    rows: Final = client.proxy.poll_logs_for_request_id(chat.id, predicate=_priced)
+    row: Final = next((row for row in rows if row.request_id == chat.id), None)
+    assert row is not None and row.metadata and row.metadata.cost_breakdown, (
+        f"no priced spend row for request {chat.id} before the deadline: {rows}"
+    )
+    prompt_tokens: Final = row.prompt_tokens or 0
+    input_cost: Final = row.metadata.cost_breakdown.input_cost
+    assert prompt_tokens > 0 and input_cost is not None, f"spend row logged no prompt tokens or input cost: {row}"
+    return prompt_tokens, input_cost
+
+
+def _await_billed_input_cost(
+    client: ManagementClient, model_name: str, key: str, *, expected_rate: float
+) -> tuple[int, float]:
+    """Drive calls through `model_name` until one is billed at `expected_rate`, and
+    return the prompt tokens and input cost of the last spend row either way.
+
+    Only the deadline ends the wait unsatisfied: a rate that never reaches the gateway
+    comes back as the stale cost for the caller to assert on, so the rate the caller
+    expects is still what decides the test."""
+    deadline: Final = time.monotonic() + BILLING_CONVERGENCE_TIMEOUT
+    while True:
+        prompt_tokens, input_cost = _billed_input_cost(client, model_name, key)
+        if _approx_equal(input_cost, prompt_tokens * expected_rate) or time.monotonic() >= deadline:
+            return prompt_tokens, input_cost
+        time.sleep(BILLING_CONVERGENCE_INTERVAL)
+
+
+class TestModelLifecycle:
+    @pytest.mark.covers("mgmt.model.add.persists")
+    def test_create_reads_back_every_field_and_serves_on_every_replica(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        registered = _register(client, resources)
+
+        entry = _stored_entry(client, registered.model_name, converged=lambda _entry: True)
+        stored = "/model/info"
+
+        _assert_untouched_keys_as_created(entry, stored)
+        assert entry.litellm_params.input_cost_per_token == PINNED_INPUT_RATE, (
+            f"{stored}: input_cost_per_token {entry.litellm_params.input_cost_per_token} != {PINNED_INPUT_RATE}"
+        )
+        assert entry.litellm_params.max_input_tokens == PINNED_MAX_INPUT_TOKENS, (
+            f"{stored}: max_input_tokens {entry.litellm_params.max_input_tokens} != {PINNED_MAX_INPUT_TOKENS}"
+        )
+        assert entry.model_info.id == registered.model_id, (
+            f"{stored}: model_info.id {entry.model_info.id!r} != {registered.model_id!r}"
+        )
+
+        _assert_served_everywhere(client, registered.model_name)
+
+    @pytest.mark.covers("mgmt.model.update.preserves_unrelated_fields")
+    def test_partial_update_changes_only_the_named_key(
+        self, client: ManagementClient, resources: ResourceManager, scoped_key: str
+    ) -> None:
+        registered = _register(client, resources)
+
+        stored = client.proxy.patch_model(
+            registered.model_id,
+            ModelPatchBody(litellm_params=LiteLLMParamsPatch(input_cost_per_token=UPDATED_INPUT_RATE)),
+        )
+        assert stored.litellm_params.input_cost_per_token == UPDATED_INPUT_RATE, (
+            f"PATCH response stores input_cost_per_token {stored.litellm_params.input_cost_per_token}, "
+            f"sent {UPDATED_INPUT_RATE}"
+        )
+
+        entry = _stored_entry(
+            client,
+            registered.model_name,
+            converged=lambda entry: entry.litellm_params.input_cost_per_token == UPDATED_INPUT_RATE,
+        )
+        stored = "/model/info"
+
+        _assert_untouched_keys_as_created(entry, stored)
+        assert entry.litellm_params.max_input_tokens == PINNED_MAX_INPUT_TOKENS, (
+            f"{stored}: max_input_tokens {entry.litellm_params.max_input_tokens} != {PINNED_MAX_INPUT_TOKENS}"
+        )
+        assert entry.model_info.input_cost_per_token == UPDATED_INPUT_RATE, (
+            f"{stored}: model_info.input_cost_per_token {entry.model_info.input_cost_per_token} "
+            f"did not mirror the updated {UPDATED_INPUT_RATE}"
+        )
+
+        prompt_tokens, input_cost = _await_billed_input_cost(
+            client, registered.model_name, scoped_key, expected_rate=UPDATED_INPUT_RATE
+        )
+        assert _approx_equal(input_cost, prompt_tokens * UPDATED_INPUT_RATE), (
+            f"input_cost {input_cost} != {prompt_tokens} tokens * updated rate {UPDATED_INPUT_RATE} "
+            f"= {prompt_tokens * UPDATED_INPUT_RATE}; the partial update did not reach billing"
+        )
+
+    @pytest.mark.covers("mgmt.model.update.clear_persists")
+    def test_explicit_null_removes_the_key_from_the_stored_row(
+        self, client: ManagementClient, resources: ResourceManager
+    ) -> None:
+        registered = _register(client, resources)
+
+        stored = client.proxy.patch_model(
+            registered.model_id,
+            ModelPatchBody(litellm_params=LiteLLMParamsPatch(max_input_tokens=Clear(), input_cost_per_token=Clear())),
+        )
+        stored_params = stored.litellm_params.model_fields_set
+        assert "max_input_tokens" not in stored_params, (
+            f"stored litellm_params still carries max_input_tokens "
+            f"{stored.litellm_params.max_input_tokens} after an explicit null"
+        )
+        assert "input_cost_per_token" not in stored_params, (
+            f"stored litellm_params still carries input_cost_per_token "
+            f"{stored.litellm_params.input_cost_per_token} after an explicit null"
+        )
+        assert "max_input_tokens" not in stored.model_info.model_fields_set, (
+            f"stored model_info carries max_input_tokens {stored.model_info.max_input_tokens} after the clear"
+        )
+        assert "input_cost_per_token" not in stored.model_info.model_fields_set, (
+            f"stored model_info still mirrors input_cost_per_token {stored.model_info.input_cost_per_token}"
+        )
+
+        cost_map_input_rate = client.proxy.model_cost_map()[BACKEND_MODEL].input_cost_per_token
+        assert cost_map_input_rate is not None, f"cost map has no input rate for {BACKEND_MODEL}"
+        entry = _stored_entry(
+            client,
+            registered.model_name,
+            converged=lambda entry: "max_input_tokens" not in entry.litellm_params.model_fields_set,
+        )
+        stored = "/model/info"
+
+        _assert_untouched_keys_as_created(entry, stored)
+        served = entry.litellm_params.model_fields_set
+        assert "max_input_tokens" not in served, (
+            f"{stored}: litellm_params still serves max_input_tokens {entry.litellm_params.max_input_tokens}"
+        )
+        assert "input_cost_per_token" not in served, (
+            f"{stored}: litellm_params still serves input_cost_per_token {entry.litellm_params.input_cost_per_token}"
+        )
+        assert entry.model_info.input_cost_per_token == cost_map_input_rate, (
+            f"{stored}: model_info.input_cost_per_token {entry.model_info.input_cost_per_token} is not the "
+            f"cost map's {cost_map_input_rate}; the cleared override {PINNED_INPUT_RATE} still resolves"
+        )
+
+    @pytest.mark.covers("mgmt.model.update.clear_persists")
+    def test_cleared_price_is_billed_at_the_cost_map_rate(
+        self, client: ManagementClient, resources: ResourceManager, scoped_key: str
+    ) -> None:
+        registered = _register(client, resources)
+        _ = client.proxy.patch_model(
+            registered.model_id,
+            ModelPatchBody(litellm_params=LiteLLMParamsPatch(max_input_tokens=Clear(), input_cost_per_token=Clear())),
+        )
+        _ = _stored_entry(
+            client,
+            registered.model_name,
+            converged=lambda entry: "input_cost_per_token" not in entry.litellm_params.model_fields_set,
+        )
+        cost_map_input_rate = client.proxy.model_cost_map()[BACKEND_MODEL].input_cost_per_token
+        assert cost_map_input_rate is not None, f"cost map has no input rate for {BACKEND_MODEL}"
+
+        prompt_tokens, input_cost = _await_billed_input_cost(
+            client, registered.model_name, scoped_key, expected_rate=cost_map_input_rate
+        )
+
+        assert _approx_equal(input_cost, prompt_tokens * cost_map_input_rate), (
+            f"input_cost {input_cost} != {prompt_tokens} tokens * cost map rate {cost_map_input_rate} "
+            f"= {prompt_tokens * cost_map_input_rate}"
+        )
+        assert not _approx_equal(input_cost, prompt_tokens * PINNED_INPUT_RATE), (
+            f"input_cost {input_cost} is still billed at the cleared override {PINNED_INPUT_RATE}"
+        )
+
+    @pytest.mark.covers("mgmt.model.delete.persists")
+    def test_delete_removes_the_deployment_everywhere(
+        self, client: ManagementClient, resources: ResourceManager, scoped_key: str
+    ) -> None:
+        registered = _register(client, resources)
+        _ = _stored_entry(client, registered.model_name, converged=lambda _entry: True)
+
+        client.delete_model_strict(registered.model_id)
+
+        _assert_absent_everywhere(client, registered.model_name)
+        refused = client.chat_status(scoped_key, registered.model_name, "hi this is a test")
+        assert refused.status_code == 400, (
+            f"chat against the deleted model must be rejected 400, got {refused.status_code}: {refused.body[:300]}"
+        )
+        envelope = _ErrorEnvelope.model_validate_json(refused.body)
+        assert envelope.error.message, f"400 body must carry an error message: {refused.body[:300]}"
diff --git a/tests/e2e/models.py b/tests/e2e/models.py
index 62810e6cfd9..8db37bd25a5 100644
--- a/tests/e2e/models.py
+++ b/tests/e2e/models.py
@@ -655,6 +655,11 @@ class OcrResponse(BaseModel):
 # ---------- spend logs ----------
 
 
+class CostBreakdown(BaseModel):
+    input_cost: float | None = None
+    output_cost: float | None = None
+
+
 class GuardrailEntityMatch(BaseModel):
     entity_type: str
     score: float
@@ -672,6 +677,7 @@ class GuardrailRunRecord(BaseModel):
 
 
 class SpendLogMetadata(BaseModel):
+    cost_breakdown: CostBreakdown | None = None
     applied_guardrails: list[str] | None = None
     guardrail_information: list[GuardrailRunRecord] | None = None
 
@@ -815,15 +821,42 @@ class CustomPricing(BaseModel):
         return prompt_tokens * self.input_cost_per_token + completion_tokens * self.output_cost_per_token
 
 
+class DeploymentParams(CustomPricing):
+    """The litellm_params half of a /model/info row: the stored deployment as written,
+    credentials scrubbed. Unlike model_info it is never back-filled from the cost map,
+    so a key the store dropped is absent here (check `model_fields_set`)."""
+
+    model: str | None = None
+    api_base: str | None = None
+    max_input_tokens: int | None = None
+
+
+class DeploymentModelInfo(CustomPricing):
+    id: str | None = None
+    max_input_tokens: int | None = None
+
+
 class ModelInfoEntry(BaseModel):
     """One /model/info row. `litellm_params` is the configured deployment (carries
     any custom-pricing override); `model_info` is the price the proxy resolved for
-    it - the override merged over the cost-map defaults."""
+    it - the override merged over the cost-map defaults, so a key cleared from the
+    stored blob reads as the cost-map default here."""
 
     model_config = ConfigDict(protected_namespaces=())
     model_name: str
-    litellm_params: CustomPricing = CustomPricing()
-    model_info: CustomPricing = CustomPricing()
+    litellm_params: DeploymentParams = DeploymentParams()
+    model_info: DeploymentModelInfo = DeploymentModelInfo()
+
+
+class StoredDeployment(BaseModel):
+    """PATCH /model/{model_id}/update answers with the row as stored: both blobs raw,
+    nothing back-filled, so a cleared key is absent from `model_fields_set` of the
+    blob it was cleared from."""
+
+    model_config = ConfigDict(protected_namespaces=())
+    model_name: str
+    litellm_params: DeploymentParams
+    model_info: DeploymentModelInfo
 
 
 class ModelInfoResponse(BaseModel):
@@ -924,9 +957,10 @@ class LiteLLMParamsBody(BaseModel):
     timeout: float | None = None
     tpm: int | None = None
     weight: int | None = None
+    max_input_tokens: int | None = None
 
 
-ModelMode = Literal["batch", "realtime", "image_generation"]
+ModelMode = Literal["chat", "batch", "realtime", "image_generation"]
 
 
 class ModelInfoBody(BaseModel):
@@ -936,6 +970,7 @@ class ModelInfoBody(BaseModel):
     # constraint when a prior run's teardown had not removed the row.
     id: str | None = None
     mode: ModelMode | None = None
+    max_input_tokens: int | None = None
     access_groups: list[str] | None = None
     team_id: str | None = None
     allowed_fails_policy: dict[str, int] | None = None
@@ -964,6 +999,37 @@ class ModelUpdateBody(BaseModel):
     model_info: ModelInfoBody
 
 
+class Clear(BaseModel):
+    """Serializes to JSON null. The transport dumps every body with exclude_none, so a
+    field set to this is how a patch carries the explicit null that removes a stored key."""
+
+    @model_serializer
+    def _as_null(self) -> None:
+        return None
+
+
+class LiteLLMParamsPatch(BaseModel):
+    api_base: str | Clear | None = None
+    max_input_tokens: int | Clear | None = None
+    input_cost_per_token: float | Clear | None = None
+    output_cost_per_token: float | Clear | None = None
+
+
+class ModelInfoPatch(BaseModel):
+    mode: ModelMode | Clear | None = None
+    max_input_tokens: int | Clear | None = None
+
+
+class ModelPatchBody(BaseModel):
+    """PATCH /model/{model_id}/update body, JSON Merge Patch over the stored deployment:
+    a field left None is dropped from the body and unchanged, a field set to `Clear()`
+    is sent as null and removed, a field with a value is set."""
+
+    model_config = ConfigDict(protected_namespaces=())
+    litellm_params: LiteLLMParamsPatch | None = None
+    model_info: ModelInfoPatch | None = None
+
+
 class ModelListEntry(BaseModel):
     id: str
 
diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py
index 1bac5116a9d..fa1b06fe7ed 100644
--- a/tests/e2e/proxy_client.py
+++ b/tests/e2e/proxy_client.py
@@ -10,10 +10,10 @@ from __future__ import annotations
 
 import time
 import warnings
-from collections.abc import Callable, Mapping
+from collections.abc import Callable, Iterator, Mapping
 from dataclasses import dataclass
-from functools import reduce
 from datetime import datetime
+from functools import reduce
 from types import MappingProxyType
 from typing import Final
 
@@ -62,6 +62,7 @@ from models import (
     ModelMode,
     ModelNewBody,
     ModelNewResponse,
+    ModelPatchBody,
     ModelsListParams,
     ModelsListResponse,
     ModelUpdateBody,
@@ -72,6 +73,7 @@ from models import (
     SpendLogsPage,
     SpendLogsPageParams,
     SpendLogsParams,
+    StoredDeployment,
     ToolsetCreateBody,
     ToolsetRow,
     ToolsetUpdateBody,
@@ -132,6 +134,103 @@ class NotServableOn:
     last_result: Result[ModelsListResponse] | None
 
 
+type BodyReader[R: BaseModel] = Callable[[float], Result[R]]
+
+
+@dataclass(frozen=True, slots=True)
+class BodyNotConverged[R: BaseModel]:
+    """The deadline passed without a read the predicate accepted; `last_result` is the
+    final read, so the caller can tell a body that never matched from a read that
+    failed."""
+
+    last_result: Result[R] | None
+
+
+@dataclass(frozen=True, slots=True)
+class BodyConverged[R: BaseModel]:
+    """Every replica answered a body the predicate accepted; `bodies` is the last read
+    per replica."""
+
+    bodies: Mapping[str, R]
+
+
+@dataclass(frozen=True, slots=True)
+class BodyNeverConvergedOn[R: BaseModel]:
+    """`BodyNotConverged` labeled with the replica whose reads never satisfied the predicate."""
+
+    replica: str
+    last_result: Result[R] | None
+
+
+def await_body_converged[R: BaseModel](
+    read: BodyReader[R],
+    *,
+    predicate: Callable[[R], bool],
+    timeout: float,
+    interval: float,
+    request_timeout: float,
+    now: Callable[[], float],
+    sleep: Callable[[float], None],
+) -> Success[R] | BodyNotConverged[R]:
+    """Poll `read` until it answers a body `predicate` accepts, or `timeout` passes.
+
+    Each read's request timeout is clamped to the remaining budget, and the sleep
+    between reads to the time left, so the last read before the deadline is never
+    skipped. Clock and sleep are injected."""
+    deadline: Final = now() + timeout
+
+    def reads() -> Iterator[Result[R]]:
+        while (remaining := deadline - now()) > 0:
+            yield read(min(request_timeout, remaining))
+            sleep(min(interval, max(deadline - now(), 0.0)))
+
+    def attempts() -> Iterator[Success[R] | BodyNotConverged[R]]:
+        for result in reads():
+            if isinstance(result, Success) and predicate(result.data):
+                yield result
+                return
+            yield BodyNotConverged(last_result=result)
+
+    initial: Final[Success[R] | BodyNotConverged[R]] = BodyNotConverged(last_result=None)
+    return reduce(lambda _previous, result: result, attempts(), initial)
+
+
+def await_body_converged_everywhere[R: BaseModel](
+    readers: Mapping[str, BodyReader[R]],
+    *,
+    predicate: Callable[[R], bool],
+    timeout: float,
+    interval: float,
+    request_timeout: float,
+    now: Callable[[], float],
+    sleep: Callable[[float], None],
+) -> BodyConverged[R] | BodyNeverConvergedOn[R]:
+    """`await_body_converged` against every replica in turn, each with the full budget, so a
+    write counts as landed only once every replica serves it."""
+    def read_replica(
+        outcome: BodyConverged[R] | BodyNeverConvergedOn[R],
+        item: tuple[str, BodyReader[R]],
+    ) -> BodyConverged[R] | BodyNeverConvergedOn[R]:
+        if isinstance(outcome, BodyNeverConvergedOn):
+            return outcome
+        replica, read = item
+        match await_body_converged(
+            read,
+            predicate=predicate,
+            timeout=timeout,
+            interval=interval,
+            request_timeout=request_timeout,
+            now=now,
+            sleep=sleep,
+        ):
+            case Success(data=data):
+                return BodyConverged(bodies=MappingProxyType({**outcome.bodies, replica: data}))
+            case BodyNotConverged(last_result=last_result):
+                return BodyNeverConvergedOn(replica=replica, last_result=last_result)
+    initial: Final[BodyConverged[R] | BodyNeverConvergedOn[R]] = BodyConverged(bodies=MappingProxyType({}))
+    return reduce(read_replica, readers.items(), initial)
+
+
 def await_servable(
     list_models: Callable[[float], Result[ModelsListResponse]],
     *,
@@ -658,6 +757,102 @@ class ProxyClient:
             )
         )
 
+    def patch_model(self, model_id: str, body: ModelPatchBody) -> StoredDeployment:
+        """JSON Merge Patch the deployment `model_id` via PATCH /model/{model_id}/update:
+        a field the body omits is unchanged, one sent as null is removed from the stored
+        row, one sent with a value is set. See ModelPatchBody for how a null is sent.
+        Returns the row as stored after the write."""
+        return unwrap(
+            self.transport.patch(
+                f"/model/{model_id}/update",
+                headers=self.transport.master,
+                json=body,
+                response_type=StoredDeployment,
+            )
+        )
+
+    def read_model_back_everywhere[R: BaseModel](
+        self, path: str, response_type: type[R], *, predicate: Callable[[R], bool]
+    ) -> Mapping[str, R]:
+        """GET `path` on every replica until each answers a body `predicate` accepts,
+        polling to poll_timeout, and return the last body per replica.
+
+        Fails naming the replica that never converged, so a write that reached one
+        gateway but not the others is caught instead of passing on whichever gateway
+        the balancer answered from. Falls back to the single proxy address when no
+        replica list is configured.
+
+        `path` must be a data-plane route. The replicas are gateways, which serve only
+        the LLM surface, so a control-plane path answers on exactly one service and
+        404s on every replica in a split deployment: asking each replica for one is
+        never the question the caller means. Read those through `self.transport`
+        instead, which routes them to the control plane."""
+        if is_control_plane_path(path):
+            raise AssertionError(
+                f"read_model_back_everywhere({path!r}) asks every data-plane replica for a control-plane route. "
+                "The replicas are gateways and do not serve it; poll a data-plane path such as /v1/models "
+                "here, and read the control plane through the shared transport."
+            )
+        readers: Final = {
+            url: self._body_reader(transport, path, response_type)
+            for url, transport in self._read_back_replicas().items()
+        }
+        outcome: Final = await_body_converged_everywhere(
+            readers,
+            predicate=predicate,
+            timeout=self.poll_timeout,
+            interval=self.poll_interval,
+            request_timeout=REQUEST_TIMEOUT,
+            now=time.monotonic,
+            sleep=time.sleep,
+        )
+        match outcome:
+            case BodyConverged(bodies=bodies):
+                return bodies
+            case BodyNeverConvergedOn(replica=replica, last_result=last_result):
+                raise AssertionError(
+                    f"GET {path} on {replica} never answered the expected body within "
+                    f"{self.poll_timeout}s; last read: {last_result}"
+                )
+
+    def read_model_back[R: BaseModel](self, path: str, response_type: type[R], *, predicate: Callable[[R], bool]) -> R:
+        """GET `path` through the shared transport until the body satisfies `predicate`,
+        polling to poll_timeout, and return that body.
+
+        The counterpart to `read_model_back_everywhere` for a control-plane route such as
+        /model/info: the stored row lives in one database behind one control plane, so
+        there is a single answer to converge on rather than one per gateway."""
+        outcome: Final = await_body_converged_everywhere(
+            {CONTROL_PLANE_BASE_URL: self._body_reader(self.transport, path, response_type)},
+            predicate=predicate,
+            timeout=self.poll_timeout,
+            interval=self.poll_interval,
+            request_timeout=REQUEST_TIMEOUT,
+            now=time.monotonic,
+            sleep=time.sleep,
+        )
+        match outcome:
+            case BodyConverged(bodies=bodies):
+                return bodies[CONTROL_PLANE_BASE_URL]
+            case BodyNeverConvergedOn(last_result=last_result):
+                raise AssertionError(
+                    f"GET {path} never answered the expected body within "
+                    f"{self.poll_timeout}s; last read: {last_result}"
+                )
+
+    def _read_back_replicas(self) -> Mapping[str, Transport]:
+        return self.replicas or MappingProxyType({CONTROL_PLANE_BASE_URL: self.transport})
+
+    @staticmethod
+    def _body_reader[R: BaseModel](transport: Transport, path: str, response_type: type[R]) -> BodyReader[R]:
+        return lambda timeout: transport.get(
+            path,
+            headers=transport.master,
+            params=NoBody(),
+            response_type=response_type,
+            timeout=timeout,
+        )
+
     def delete_model(self, model_id: str) -> None:
         result = self.transport.post(
             "/model/delete",
diff --git a/tests/e2e/test_proxy_client.py b/tests/e2e/test_proxy_client.py
index 3b84a47e3cc..cbf7f5648d4 100644
--- a/tests/e2e/test_proxy_client.py
+++ b/tests/e2e/test_proxy_client.py
@@ -20,8 +20,12 @@ from typing import Final, cast
 import pytest
 from e2e_config import parse_replica_urls
 from e2e_http import Result, Success
-from models import KeyInfo, KeyInfoResponse, ModelListEntry, ModelsListResponse
+from models import KeyInfo, KeyInfoResponse, ModelInfoEntry, ModelInfoResponse, ModelListEntry, ModelsListResponse
 from proxy_client import (
+    BodyReader,
+    BodyConverged,
+    BodyNeverConvergedOn,
+    await_body_converged_everywhere,
     ConvergeOutcome,
     Converged,
     EverywhereConverged,
@@ -274,3 +278,54 @@ class TestReplicasFor:
         client: Final = ProxyClient(transport=_NO_TRANSPORTS, replicas={}, control_replicas={})
         with pytest.raises(AssertionError, match="no replica is configured"):
             _ = client.replicas_for("/v1/models")
+
+
+def _info(*model_names: str) -> Success[ModelInfoResponse]:
+    entries: Final = [ModelInfoEntry(model_name=model_name) for model_name in model_names]
+    return Success(status_code=200, data=ModelInfoResponse(data=entries))
+
+
+def _reader(results: Iterable[Success[ModelInfoResponse]]) -> BodyReader[ModelInfoResponse]:
+    it: Final = iter(results)
+    return lambda _timeout: next(it)
+
+
+def _lists_model(body: ModelInfoResponse) -> bool:
+    return any(entry.model_name == MODEL for entry in body.data)
+
+
+def _read_back(
+    readers: Mapping[str, BodyReader[ModelInfoResponse]],
+) -> tuple[BodyConverged[ModelInfoResponse] | BodyNeverConvergedOn[ModelInfoResponse], FakeClock]:
+    clock: Final = FakeClock()
+    outcome: Final = await_body_converged_everywhere(
+        readers,
+        predicate=_lists_model,
+        timeout=TIMEOUT,
+        interval=INTERVAL,
+        request_timeout=5.0,
+        now=clock.now,
+        sleep=clock.sleep,
+    )
+    return outcome, clock
+
+
+class TestAwaitBodyConvergedEverywhere:
+    def test_waits_for_the_lagging_replica_and_returns_every_body(self) -> None:
+        readers: Final = {
+            "gateway-1": _reader(repeat(_info(MODEL))),
+            "gateway-2": _reader(chain(repeat(_info(), 2), repeat(_info(MODEL)))),
+        }
+        outcome, clock = _read_back(readers)
+        assert outcome == BodyConverged(bodies={"gateway-1": _info(MODEL).data, "gateway-2": _info(MODEL).data})
+        assert clock.elapsed == 2 * INTERVAL
+
+    @pytest.mark.parametrize("lagging", ["gateway-1", "gateway-2"])
+    def test_fails_naming_the_replica_that_never_converges(self, lagging: str) -> None:
+        readers: Final = {
+            "gateway-1": _reader(repeat(_info(MODEL))),
+            "gateway-2": _reader(repeat(_info(MODEL))),
+        } | {lagging: _reader(repeat(_info()))}
+        outcome, clock = _read_back(readers)
+        assert outcome == BodyNeverConvergedOn(replica=lagging, last_result=_info())
+        assert clock.elapsed >= TIMEOUT
diff --git a/tests/e2e/transport.py b/tests/e2e/transport.py
index 44fdbaa3e41..804e073a4a0 100644
--- a/tests/e2e/transport.py
+++ b/tests/e2e/transport.py
@@ -306,6 +306,7 @@ CONTROL_PLANE_PREFIXES: tuple[str, ...] = (
     "/config",
     "/guardrails",
     "/openapi.json",
+    "/public/",
 )
 
 
diff --git a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
index c02f886fc31..1376727e296 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
@@ -3115,9 +3115,6 @@ class TestUpdateDBModelClearPricing:
     """Sending an explicit `null` for a pricing field must remove it from both
     `litellm_params` and `model_info` (SPECIAL_MODEL_INFO_PARAMS are mirrored
     between the two by Deployment.__init__).
-
-    Restricted to SPECIAL_MODEL_INFO_PARAMS so non-pricing fields (e.g. team_id)
-    cannot be cleared via this path.
     """
 
     def test_clear_input_cost_removes_from_both_blobs(self):
@@ -3193,10 +3190,10 @@ class TestUpdateDBModelClearPricing:
         assert params["input_cost_per_token"] == 0.000001
         assert params["output_cost_per_token"] == 0.000007
 
-    def test_null_on_non_pricing_field_does_not_clear(self):
-        """Security guard: only SPECIAL_MODEL_INFO_PARAMS can be cleared via null.
-        Privileged or unrelated model_info fields (e.g. team_id) must be unaffected
-        by the null-clearing path so a team admin can't ungate a team-scoped model.
+    def test_null_on_one_field_leaves_other_fields_alone(self):
+        """A null clears only the key it names: pricing the patch never mentions and
+        the ownership key team_id stay put, so a team admin can't ungate a
+        team-scoped model through the clear path.
         """
         from litellm.proxy.management_endpoints.model_management_endpoints import (
             update_db_model,
@@ -3217,8 +3214,6 @@ class TestUpdateDBModelClearPricing:
             model_info=ModelInfo(id="dep-pricing-1", team_id="team-keep-me"),
         )
 
-        # Patch sends a null for api_base (non-SPECIAL field). Must NOT clear team_id
-        # or any other non-pricing field from the merged dict.
         result = update_db_model(
             db_model=db_model,
             updated_patch=updateDeployment(
@@ -3394,6 +3389,171 @@ class TestUpdateDBModelClearPricing:
         assert info["cache_creation_input_token_cost"] == 0.000003
 
 
+_PROTECTED_MODEL_INFO_VALUES = {
+    "team_id": "team-keep-me",
+    "team_public_model_name": "team-facing-name",
+    "access_groups": ["group-a"],
+    "created_at": "2026-01-01T00:00:00+00:00",
+    "created_by": "creator",
+    "updated_at": "2026-01-02T00:00:00+00:00",
+    "updated_by": "updater",
+    "blocked": True,
+}
+
+
+def _build_db_model_with_pinned_model_info():
+    """Deployment whose stored blobs pin non-pricing keys an earlier save wrote, next to a
+    pricing override, so a clear can be checked key by key."""
+    from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo
+
+    return Deployment(
+        model_name="pinned-gpt-4o-mini",
+        litellm_params=LiteLLM_Params(
+            model="gpt-4o-mini", input_cost_per_token=0.000001, max_input_tokens=4096
+        ),
+        model_info=ModelInfo(
+            id="dep-pinned-0",
+            max_input_tokens=4096,
+            mode="chat",
+            supports_vision=True,
+            **_PROTECTED_MODEL_INFO_VALUES,
+        ),
+    )
+
+
+class TestUpdateDBModelNullClearsAnyKey:
+    """JSON Merge Patch on PATCH /model/{id}/update: a key sent as null is removed from the
+    stored blob it was sent in, whatever the key, except the identity and ownership keys,
+    whose nulls are ignored."""
+
+    def test_model_info_nulls_remove_pinned_non_pricing_keys(self):
+        from litellm.proxy.management_endpoints.model_management_endpoints import (
+            update_db_model,
+        )
+
+        result = update_db_model(
+            db_model=_build_db_model_with_pinned_model_info(),
+            updated_patch=updateDeployment.model_validate(
+                {"model_info": {"max_input_tokens": None, "mode": None}}
+            ),
+        )
+
+        info = json.loads(result["model_info"])
+        assert "max_input_tokens" not in info
+        assert "mode" not in info
+        assert info["supports_vision"] is True
+        assert info["input_cost_per_token"] == 0.000001
+
+    def test_litellm_params_null_removes_pinned_non_pricing_key(self):
+        from litellm.proxy.management_endpoints.model_management_endpoints import (
+            update_db_model,
+        )
+
+        result = update_db_model(
+            db_model=_build_db_model_with_pinned_model_info(),
+            updated_patch=updateDeployment.model_validate(
+                {"litellm_params": {"max_input_tokens": None}}
+            ),
+        )
+
+        params = json.loads(result["litellm_params"])
+        info = json.loads(result["model_info"])
+        assert "max_input_tokens" not in params
+        assert params["model"] == "gpt-4o-mini"
+        assert params["input_cost_per_token"] == 0.000001
+        assert info["max_input_tokens"] == 4096
+
+    def test_omitted_key_is_untouched_by_a_null_elsewhere(self):
+        from litellm.proxy.management_endpoints.model_management_endpoints import (
+            update_db_model,
+        )
+
+        result = update_db_model(
+            db_model=_build_db_model_with_pinned_model_info(),
+            updated_patch=updateDeployment.model_validate(
+                {"model_info": {"mode": None, "supports_vision": False}}
+            ),
+        )
+
+        info = json.loads(result["model_info"])
+        assert "mode" not in info
+        assert info["supports_vision"] is False
+        assert info["max_input_tokens"] == 4096
+
+    @pytest.mark.parametrize("field", sorted(_PROTECTED_MODEL_INFO_VALUES))
+    def test_null_on_protected_key_is_ignored(self, field):
+        from litellm.proxy.management_endpoints.model_management_endpoints import (
+            update_db_model,
+        )
+
+        result = update_db_model(
+            db_model=_build_db_model_with_pinned_model_info(),
+            updated_patch=updateDeployment.model_validate({"model_info": {field: None}}),
+        )
+
+        info = json.loads(result["model_info"])
+        assert info[field] == _PROTECTED_MODEL_INFO_VALUES[field]
+        assert info["max_input_tokens"] == 4096
+
+    def test_echoing_the_read_back_blob_preserves_every_stored_key(self):
+        """The Admin UI edit form submits the whole /model/info row back, and that read reports
+        every key the deployment never stored as an explicit null. Those nulls have to stay
+        no-ops: a write drops None before storing, so a null in the echoed blob always names a
+        key the stored row does not carry.
+        """
+        from litellm.proxy.management_endpoints.model_management_endpoints import (
+            update_db_model,
+        )
+
+        db_model = _build_db_model_with_pinned_model_info()
+        echoed = {
+            "id": "dep-pinned-0",
+            "max_input_tokens": 4096,
+            "mode": "chat",
+            "supports_vision": True,
+            "input_cost_per_token": 0.000001,
+            "team_id": "team-keep-me",
+            "base_model": None,
+            "tier": None,
+            "max_output_tokens": None,
+            "supports_function_calling": None,
+            "cache_read_input_token_cost": None,
+        }
+
+        result = update_db_model(
+            db_model=db_model,
+            updated_patch=updateDeployment.model_validate({"model_info": echoed}),
+        )
+
+        info = json.loads(result["model_info"])
+        assert info["max_input_tokens"] == 4096
+        assert info["mode"] == "chat"
+        assert info["supports_vision"] is True
+        assert info["input_cost_per_token"] == 0.000001
+        assert info["team_id"] == "team-keep-me"
+        for never_stored in ("base_model", "tier", "max_output_tokens", "supports_function_calling"):
+            assert never_stored not in info
+
+    def test_null_on_pricing_key_still_clears_both_blobs(self):
+        from litellm.proxy.management_endpoints.model_management_endpoints import (
+            update_db_model,
+        )
+
+        result = update_db_model(
+            db_model=_build_db_model_with_pinned_model_info(),
+            updated_patch=updateDeployment.model_validate(
+                {"model_info": {"input_cost_per_token": None}}
+            ),
+        )
+
+        params = json.loads(result["litellm_params"])
+        info = json.loads(result["model_info"])
+        assert "input_cost_per_token" not in params
+        assert "input_cost_per_token" not in info
+        assert params["max_input_tokens"] == 4096
+        assert info["max_input_tokens"] == 4096
+
+
 class TestGetModelInfoWithIdBlocked:
     """`ProxyConfig.get_model_info_with_id` must propagate the DB-level `blocked`
     column into the in-memory `model_info` dict so the router filter can read it."""
diff --git a/tests/test_litellm/test_router_model_cost_isolation.py b/tests/test_litellm/test_router_model_cost_isolation.py
index 30b265905f3..d22ec60e61a 100644
--- a/tests/test_litellm/test_router_model_cost_isolation.py
+++ b/tests/test_litellm/test_router_model_cost_isolation.py
@@ -220,6 +220,198 @@ def test_should_store_full_pricing_under_deployment_model_id():
     assert entry["output_cost_per_token"] == 0.0
 
 
+def test_should_drop_a_price_the_deployment_no_longer_carries():
+    """Re-registering a deployment must replace its model_id entry, not merge onto it.
+
+    A merge left the old rate in the cost map after an operator cleared the override, so
+    the deployment kept billing at a price its config no longer had.
+    """
+    backend_model = "vertex_ai/gemini-2.5-flash"
+    model_id = "deployment-cleared-price"
+    original = {model_id: litellm.model_cost.get(model_id)}
+
+    try:
+        Router._register_deployment_in_model_cost(
+            model_id=model_id,
+            model_info={"input_cost_per_token": 0.005, "output_cost_per_token": 0.01},
+            model=backend_model,
+            custom_llm_provider="vertex_ai",
+        )
+        assert litellm.model_cost[model_id]["input_cost_per_token"] == 0.005
+
+        Router._register_deployment_in_model_cost(
+            model_id=model_id,
+            model_info={"mode": "chat"},
+            model=backend_model,
+            custom_llm_provider="vertex_ai",
+        )
+
+        entry = litellm.model_cost[model_id]
+        assert entry.get("input_cost_per_token") != 0.005, (
+            "the cleared override survived re-registration, so the deployment still bills at it"
+        )
+        assert entry.get("output_cost_per_token") != 0.01
+    finally:
+        _restore_model_cost_entries(original)
+
+
+def test_should_not_strip_a_builtin_entry_when_a_deployment_id_collides_with_it():
+    """Deployments are keyed into the same cost map as the built-in catalog, so a deployment
+    whose id happens to name a real model must not evict that model's entry.
+
+    Stripping it would take the pricing and capability flags every other deployment of that
+    model reads, process-wide, until the next price-map reload. Registering twice, because
+    the first registration is what would mark the entry as this deployment's own.
+    """
+    colliding_id = "gpt-4o"
+    original = {colliding_id: litellm.model_cost.get(colliding_id)}
+    builtin_max_tokens = litellm.model_cost[colliding_id]["max_tokens"]
+
+    try:
+        for _ in range(2):
+            Router._register_deployment_in_model_cost(
+                model_id=colliding_id,
+                model_info={"id": colliding_id, "db_model": True, "mode": "chat"},
+                model="gpt-4o-mini",
+                custom_llm_provider="openai",
+            )
+
+        entry = litellm.model_cost[colliding_id]
+        assert entry["max_tokens"] == builtin_max_tokens, (
+            "registering a deployment under a catalog model's name wiped that model's context window"
+        )
+        assert entry["litellm_provider"] == "openai"
+        assert entry["supports_vision"] is True
+    finally:
+        _restore_model_cost_entries(original)
+
+
+def test_should_drop_a_stale_price_even_when_the_deployment_declares_a_provider():
+    """A deployment may carry `litellm_provider` in its own model_info, which must not be
+    read as "this is a catalog entry" and stop the stale price from being dropped."""
+    model_id = "deployment-provider-tagged"
+    original = {model_id: litellm.model_cost.get(model_id)}
+
+    try:
+        Router._register_deployment_in_model_cost(
+            model_id=model_id,
+            model_info={"id": model_id, "litellm_provider": "openai", "input_cost_per_token": 0.005},
+            model="gpt-4o-mini",
+            custom_llm_provider="openai",
+        )
+        assert litellm.model_cost[model_id]["input_cost_per_token"] == 0.005
+
+        Router._register_deployment_in_model_cost(
+            model_id=model_id,
+            model_info={"id": model_id, "litellm_provider": "openai", "mode": "chat"},
+            model="gpt-4o-mini",
+            custom_llm_provider="openai",
+        )
+
+        assert litellm.model_cost[model_id].get("input_cost_per_token") != 0.005, (
+            "a deployment that declares its provider kept billing at the price it no longer carries"
+        )
+    finally:
+        _restore_model_cost_entries(original)
+
+
+def test_should_give_a_cost_map_key_back_when_the_deployment_is_deleted():
+    """Deleting a deployment releases its claim on the shared cost-map key.
+
+    Held forever, a later catalog refresh that starts publishing a model under that same
+    name would be treated as the deleted deployment's own entry and evicted.
+    """
+    from litellm.router import _DEPLOYMENT_COST_MAP_KEYS
+
+    model_id = "deployment-to-delete"
+    original = {model_id: litellm.model_cost.get(model_id)}
+    router = Router(
+        model_list=[
+            {
+                "model_name": "to-delete",
+                "litellm_params": {"model": "gpt-4o-mini", "mock_response": "ok"},
+                "model_info": {"id": model_id, "input_cost_per_token": 0.005},
+            }
+        ]
+    )
+
+    try:
+        assert model_id in _DEPLOYMENT_COST_MAP_KEYS
+
+        assert router.delete_deployment(id=model_id) is not None
+
+        assert model_id not in _DEPLOYMENT_COST_MAP_KEYS, (
+            "a deleted deployment kept its claim on the shared cost-map key"
+        )
+    finally:
+        _DEPLOYMENT_COST_MAP_KEYS.discard(model_id)
+        _restore_model_cost_entries(original)
+
+
+def test_should_keep_the_cost_map_key_while_another_router_still_serves_it():
+    """Two live routers can serve the same deployment id, and the claim is process-wide.
+
+    Releasing it when only one of them drops the deployment would put the survivor back on
+    merging, so the price it just cleared would keep billing.
+    """
+    from litellm.router import _DEPLOYMENT_COST_MAP_KEYS
+
+    model_id = "deployment-served-twice"
+    original = {model_id: litellm.model_cost.get(model_id)}
+    entry = {
+        "model_name": "served-twice",
+        "litellm_params": {"model": "gpt-4o-mini", "mock_response": "ok"},
+        "model_info": {"id": model_id, "input_cost_per_token": 0.005},
+    }
+    first = Router(model_list=[entry])
+    second = Router(model_list=[entry])
+
+    try:
+        assert model_id in _DEPLOYMENT_COST_MAP_KEYS
+
+        assert first.delete_deployment(id=model_id) is not None
+
+        assert model_id in _DEPLOYMENT_COST_MAP_KEYS, (
+            "the claim was released while another router still served the deployment"
+        )
+
+        assert second.delete_deployment(id=model_id) is not None
+        assert model_id not in _DEPLOYMENT_COST_MAP_KEYS
+    finally:
+        _DEPLOYMENT_COST_MAP_KEYS.discard(model_id)
+        _restore_model_cost_entries(original)
+
+
+def test_should_keep_the_cost_map_key_while_a_dynamically_built_router_serves_it():
+    """A router built with no model_list still serves whatever add_deployment gives it, so it
+    counts when deciding whether the shared cost-map claim can be released."""
+    from litellm.router import _DEPLOYMENT_COST_MAP_KEYS
+
+    model_id = "deployment-added-dynamically"
+    original = {model_id: litellm.model_cost.get(model_id)}
+    entry = {
+        "model_name": "added-dynamically",
+        "litellm_params": {"model": "gpt-4o-mini", "mock_response": "ok"},
+        "model_info": {"id": model_id, "input_cost_per_token": 0.005},
+    }
+    configured = Router(model_list=[entry])
+    dynamic = Router()
+    dynamic.add_deployment(deployment=Deployment(**entry))
+
+    try:
+        assert configured.delete_deployment(id=model_id) is not None
+
+        assert model_id in _DEPLOYMENT_COST_MAP_KEYS, (
+            "the claim was released while a dynamically built router still served the deployment"
+        )
+
+        assert dynamic.delete_deployment(id=model_id) is not None
+        assert model_id not in _DEPLOYMENT_COST_MAP_KEYS
+    finally:
+        _DEPLOYMENT_COST_MAP_KEYS.discard(model_id)
+        _restore_model_cost_entries(original)
+
+
 def test_should_preserve_builtin_pricing_regardless_of_deployment_order():
     """
     The built-in pricing should be preserved no matter which deployment
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 83b0d58f2b2..93aaf3ca58c 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -9064,8 +9064,9 @@ export interface paths {
          * Patch Model
          * @description PATCH Endpoint for partial model updates.
          *
-         *     Only updates the fields specified in the request while preserving other existing values.
-         *     Follows proper PATCH semantics by only modifying provided fields.
+         *     JSON Merge Patch semantics over `litellm_params` and `model_info`: a key absent from the
+         *     body is unchanged, a key sent as null is removed from the stored row, and a key sent with a
+         *     value is set (identity and ownership keys such as `id` and `team_id` ignore a null).
          *
          *     Args:
          *         model_id: The ID of the model to update

From 25a6c2a2749ba802514fb3a5736b540c21a1e630 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 06:17:59 +0000
Subject: [PATCH 196/223] fix(cli): skip remote model cost map fetch in lite
 CLI processes

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../litellm_core_utils/get_model_cost_map.py  | 14 ++++-
 .../test_get_model_cost_map.py                | 25 +++++++++
 .../proxy/client/cli/test_global_options.py   | 56 ++++++++++++++++++-
 3 files changed, 91 insertions(+), 4 deletions(-)

diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index cdc4810ff04..7d3b67e58c8 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -2,6 +2,7 @@
 Pulls the cost + context window + provider route for known models from https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json
 
 This can be disabled by setting the LITELLM_LOCAL_MODEL_COST_MAP environment variable to True.
+The ``lite`` and ``litellm-proxy`` CLI entry points also use the bundled map without fetching.
 
 ```
 export LITELLM_LOCAL_MODEL_COST_MAP=True
@@ -13,11 +14,13 @@ import hashlib
 import json
 import os
 import random
+import sys
 import time
 from collections.abc import Awaitable, Callable
 from dataclasses import dataclass, replace
 from datetime import datetime, timezone
 from importlib.resources import files
+from pathlib import Path
 from typing import Final, Protocol
 
 import httpx
@@ -33,6 +36,12 @@ from litellm.litellm_core_utils.fallback_generalizations import (
 )
 
 FALLBACK_GENERALIZATIONS_KEY: Final = "fallback_generalizations"
+_CLI_ENTRYPOINT_NAMES: Final = frozenset({"lite", "litellm-proxy"})
+
+
+def _is_cli_process() -> bool:
+    return Path(sys.argv[0]).stem in _CLI_ENTRYPOINT_NAMES
+
 
 # Reserved top-level keys that are not model entries. They must be excluded
 # from the model-count integrity check so a real upstream shrink can't be masked.
@@ -531,7 +540,8 @@ def get_model_cost_map(
     """
     Public entry point — returns the model cost map dict.
 
-    1. If ``LITELLM_LOCAL_MODEL_COST_MAP`` is set, uses the local backup only.
+    1. If ``LITELLM_LOCAL_MODEL_COST_MAP`` is set or this is a ``lite`` /
+       ``litellm-proxy`` CLI process, uses the local backup only.
     2. Otherwise fetches from ``url``, retrying transient HTTP errors
        (429/5xx/transport) with Retry-After-aware backoff, validates
        integrity, and falls back to the local backup on any failure.
@@ -543,7 +553,7 @@ def get_model_cost_map(
     _cost_map_source_info.loaded_at = datetime.now(timezone.utc)
     # Note: can't use get_secret_bool here — this runs during litellm.__init__
     # before litellm._key_management_settings is set.
-    if os.getenv("LITELLM_LOCAL_MODEL_COST_MAP", "").lower() == "true":
+    if os.getenv("LITELLM_LOCAL_MODEL_COST_MAP", "").lower() == "true" or _is_cli_process():
         _cost_map_source_info.source = "local"
         _cost_map_source_info.url = None
         _cost_map_source_info.is_env_forced = True
diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index 0495440c51c..d092b387259 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -6,6 +6,7 @@ count actual model entries, not reserved meta keys) and the extraction of the
 
 import json
 import os
+import sys
 
 import pytest
 
@@ -711,3 +712,27 @@ def test_boot_load_that_fails_the_integrity_check_reports_the_backup_not_the_rej
     assert source["etag"] is None
     assert source["source_revision"] == _bundled_blob_id()
     assert source["source_revision"] != git_blob_id(shrunk_body)
+
+
+@pytest.mark.parametrize(
+    ("argv0", "request_count"),
+    [
+        ("/some/venv/bin/lite", 0),
+        ("/some/venv/bin/lite.exe", 0),
+        ("/some/venv/bin/python", 1),
+    ],
+)
+def test_boot_load_skips_remote_fetch_for_cli_processes(monkeypatch, argv0, request_count):
+    monkeypatch.setattr(sys, "argv", [argv0, "--version"])
+    monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False)
+    client, calls = _mock_client([httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client)
+
+    cost_map = get_model_cost_map(url=_URL, client=client)
+
+    assert calls["count"] == request_count
+    assert cost_map
+    source = get_model_cost_map_source_info()
+    if request_count == 0:
+        assert source["source"] == "local"
+    else:
+        assert source["source"] == "remote"
diff --git a/tests/test_litellm/proxy/client/cli/test_global_options.py b/tests/test_litellm/proxy/client/cli/test_global_options.py
index 0dd388919a5..02b1cdf4296 100644
--- a/tests/test_litellm/proxy/client/cli/test_global_options.py
+++ b/tests/test_litellm/proxy/client/cli/test_global_options.py
@@ -1,14 +1,16 @@
 # stdlib imports
 import json
 import os
+import shutil
+import subprocess
+import threading
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
 from pathlib import Path
 from unittest.mock import Mock, patch
 
 import pytest
 from click.testing import CliRunner
 
-
-
 import litellm.proxy.client.cli
 from litellm._version import version as litellm_version
 from litellm.proxy.client.cli import cli
@@ -35,6 +37,56 @@ def test_cli_version_flag(cli_runner):
     assert "LiteLLM Proxy Server Version: 1.2.3" in result.output
 
 
+def test_lite_version_does_not_fetch_model_cost_map():
+    lite_path = shutil.which("lite")
+    if lite_path is None:
+        pytest.skip("lite executable is unavailable")
+
+    requests = []
+
+    class _CostMapHandler(BaseHTTPRequestHandler):
+        def do_GET(self):
+            requests.append(self.path)
+            body = b'{"test-model": {"litellm_provider": "openai", "mode": "chat"}}'
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(body)))
+            self.end_headers()
+            self.wfile.write(body)
+
+        def log_message(self, format, *args):
+            return
+
+    server = ThreadingHTTPServer(("127.0.0.1", 0), _CostMapHandler)
+    thread = threading.Thread(target=server.serve_forever, daemon=True)
+    thread.start()
+    try:
+        env = {key: value for key, value in os.environ.items() if key != "LITELLM_LOCAL_MODEL_COST_MAP"}
+        source_root = str(Path(__file__).resolve().parents[5])
+        env["PYTHONPATH"] = os.pathsep.join(filter(None, (source_root, env.get("PYTHONPATH"))))
+        env.update(
+            {
+                "LITELLM_MODEL_COST_MAP_URL": f"http://127.0.0.1:{server.server_port}/map.json",
+                "LITELLM_PROXY_URL": "http://127.0.0.1:9",
+            }
+        )
+        result = subprocess.run(
+            [lite_path, "--version"],
+            capture_output=True,
+            text=True,
+            timeout=120,
+            env=env,
+        )
+    finally:
+        server.shutdown()
+        server.server_close()
+        thread.join(timeout=10)
+
+    assert result.returncode == 0
+    assert "LiteLLM Proxy CLI Version" in result.stdout
+    assert requests == []
+
+
 def test_cli_source_is_ascii_only():
     """Non-ASCII output (emoji, box-drawing chars) raises UnicodeEncodeError on legacy Windows
     consoles (cp1252), so the whole CLI package must stay ASCII-only."""

From ffae447649e173214a2081b4890410a11dfdf085 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 06:30:50 +0000
Subject: [PATCH 197/223] test(cli): type cost map bypass regression handlers

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../litellm_core_utils/test_get_model_cost_map.py           | 4 +++-
 tests/test_litellm/proxy/client/cli/test_global_options.py  | 6 +++---
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
index d092b387259..6ab3f9a21af 100644
--- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
+++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py
@@ -722,7 +722,9 @@ def test_boot_load_that_fails_the_integrity_check_reports_the_backup_not_the_rej
         ("/some/venv/bin/python", 1),
     ],
 )
-def test_boot_load_skips_remote_fetch_for_cli_processes(monkeypatch, argv0, request_count):
+def test_boot_load_skips_remote_fetch_for_cli_processes(
+    monkeypatch: pytest.MonkeyPatch, argv0: str, request_count: int
+) -> None:
     monkeypatch.setattr(sys, "argv", [argv0, "--version"])
     monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False)
     client, calls = _mock_client([httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client)
diff --git a/tests/test_litellm/proxy/client/cli/test_global_options.py b/tests/test_litellm/proxy/client/cli/test_global_options.py
index 02b1cdf4296..6de56573ffb 100644
--- a/tests/test_litellm/proxy/client/cli/test_global_options.py
+++ b/tests/test_litellm/proxy/client/cli/test_global_options.py
@@ -42,10 +42,10 @@ def test_lite_version_does_not_fetch_model_cost_map():
     if lite_path is None:
         pytest.skip("lite executable is unavailable")
 
-    requests = []
+    requests: list[str] = []
 
     class _CostMapHandler(BaseHTTPRequestHandler):
-        def do_GET(self):
+        def do_GET(self) -> None:
             requests.append(self.path)
             body = b'{"test-model": {"litellm_provider": "openai", "mode": "chat"}}'
             self.send_response(200)
@@ -54,7 +54,7 @@ def test_lite_version_does_not_fetch_model_cost_map():
             self.end_headers()
             self.wfile.write(body)
 
-        def log_message(self, format, *args):
+        def log_message(self, format: str, *args: object) -> None:
             return
 
     server = ThreadingHTTPServer(("127.0.0.1", 0), _CostMapHandler)

From ef3a3c16ae02bc6d83e14b09c437ef36081c0498 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Tue, 8 Sep 2026 23:32:31 -0700
Subject: [PATCH 198/223] feat(guardrails): map each guardrail scan id to its
 guardrail, stage and provider (#40327)

* feat(guardrails): map each guardrail scan id to its guardrail, stage and provider

Adds the x-litellm-guardrail-scan-metadata response header, a JSON list of
{guardrail, stage, provider, scan_id} entries, next to the existing
comma-separated x-litellm-guardrail-scan-id header. Prisma AIRS records the
execution stage for every scan and OpenAI Moderation now records its
moderation id too. The new metadata key is internal: client-supplied values
are stripped and it is exposed through the UI CORS allow list.

Resolves LIT-6018

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* feat(guardrails): cap the scan metadata response header at a configurable length

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(guardrails): hardcode the scan metadata header cap

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/constants.py                          |   2 +
 litellm/proxy/common_utils/callback_utils.py  |  62 ++++++++-
 .../guardrail_hooks/openai/moderations.py     |  10 +-
 .../panw_prisma_airs/panw_prisma_airs.py      |  34 +++--
 litellm/proxy/litellm_pre_call_utils.py       |   2 +
 .../proxy/common_utils/test_callback_utils.py | 122 +++++++++++++++---
 .../openai/test_moderations.py                |  32 +++++
 .../guardrail_hooks/test_panw_prisma_airs.py  |  32 ++++-
 8 files changed, 265 insertions(+), 31 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index 6f2384c8c6c..108a914e9c1 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -143,6 +143,7 @@ DEFAULT_MCP_SEMANTIC_FILTER_SIMILARITY_THRESHOLD: Final = float(
     os.getenv("DEFAULT_MCP_SEMANTIC_FILTER_SIMILARITY_THRESHOLD", 0.3)
 )
 MAX_MCP_SEMANTIC_FILTER_TOOLS_HEADER_LENGTH: Final = int(os.getenv("MAX_MCP_SEMANTIC_FILTER_TOOLS_HEADER_LENGTH", 150))
+MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH: Final = 2048
 
 DEFAULT_AUTO_ROUTER_MAX_INPUT_CHARS: Final = 2000
 
@@ -197,6 +198,7 @@ LITELLM_UI_ALLOW_HEADERS: Final = [
     "x-litellm-adaptive-router-model",
     "x-litellm-applied-guardrails",
     "x-litellm-guardrail-scan-id",
+    "x-litellm-guardrail-scan-metadata",
     "x-litellm-cache-key",
 ]
 
diff --git a/litellm/proxy/common_utils/callback_utils.py b/litellm/proxy/common_utils/callback_utils.py
index 770963a1f24..561a53409f4 100644
--- a/litellm/proxy/common_utils/callback_utils.py
+++ b/litellm/proxy/common_utils/callback_utils.py
@@ -1,10 +1,12 @@
 import copy
+import json
 import os
 from collections.abc import Callable, Iterable, Mapping
 from dataclasses import dataclass
+from itertools import accumulate
 from typing import TYPE_CHECKING, Any, Final, Literal, NoReturn, Optional, TypeAlias
 
-from typing_extensions import assert_never
+from typing_extensions import ReadOnly, TypedDict, assert_never
 
 import litellm
 from litellm import get_secret
@@ -12,6 +14,7 @@ from litellm._logging import verbose_proxy_logger
 from litellm.constants import (
     CLIENT_OUTPUT_CEILING_METADATA_KEY,
     CONSUMED_REQUEST_TAGS_METADATA_KEY,
+    MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH,
     PRE_CALL_EXECUTED_GUARDRAILS_KEY,
     ROUTING_REQUEST_TAGS_METADATA_KEY,
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
@@ -28,6 +31,7 @@ from litellm.proxy.common_utils.encrypt_decrypt_utils import (
     encrypt_value_helper,
 )
 from litellm.proxy.types_utils.utils import get_instance_fn
+from litellm.types.guardrails import GuardrailEventHooks
 from litellm.types.utils import (
     StandardLoggingGuardrailInformation,
     StandardLoggingPayload,
@@ -52,6 +56,15 @@ reset_color_code: Final = "\033[0m"
 TRUSTED_PILLAR_RESPONSE_HEADERS_METADATA_KEY: Final = "_pillar_response_headers_trusted"
 
 GUARDRAIL_SCAN_IDS_METADATA_KEY: Final = "guardrail_scan_ids"
+GUARDRAIL_SCAN_METADATA_METADATA_KEY: Final = "guardrail_scan_metadata"
+
+
+class GuardrailScanMetadata(TypedDict):
+    guardrail: ReadOnly[str | None]
+    stage: ReadOnly[str]
+    provider: ReadOnly[str]
+    scan_id: ReadOnly[str]
+
 
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
@@ -450,6 +463,16 @@ def get_remaining_tokens_and_requests_from_request_data(data: dict) -> dict[str,
     return headers
 
 
+def _serialize_scan_metadata_header(entries: Iterable[object], *, max_length: int) -> str | None:
+    """Compact JSON list of scan metadata entries, dropping trailing entries so the header fits in max_length."""
+    encoded: Final = tuple(json.dumps(entry, separators=(",", ":")) for entry in entries)
+    lengths: Final = tuple(accumulate(len(item) + 1 for item in encoded))
+    kept: Final = sum(1 for length in lengths if length + 1 <= max_length)
+    if kept == 0:
+        return None
+    return f"[{','.join(encoded[:kept])}]"
+
+
 def get_logging_caching_headers(request_data: dict) -> dict | None:
     _metadata: Final[dict] = {}
     metadata_bucket: Final = request_data.get("metadata")
@@ -468,6 +491,15 @@ def get_logging_caching_headers(request_data: dict) -> dict | None:
     if scan_ids:
         headers["x-litellm-guardrail-scan-id"] = ",".join(scan_ids)
 
+    scan_metadata: Final = _metadata.get(GUARDRAIL_SCAN_METADATA_METADATA_KEY)
+    scan_metadata_header: Final = (
+        _serialize_scan_metadata_header(scan_metadata, max_length=MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH)
+        if isinstance(scan_metadata, (list, tuple))
+        else None
+    )
+    if scan_metadata_header:
+        headers["x-litellm-guardrail-scan-metadata"] = scan_metadata_header
+
     if "applied_policies" in _metadata:
         headers["x-litellm-applied-policies"] = ",".join(_metadata["applied_policies"])
 
@@ -501,6 +533,7 @@ LITELLM_PROXY_INTERNAL_METADATA_KEYS: Final = frozenset(
         "applied_policies",
         "applied_guardrails",
         GUARDRAIL_SCAN_IDS_METADATA_KEY,
+        GUARDRAIL_SCAN_METADATA_METADATA_KEY,
         "policy_sources",
         "guardrails",
         "guardrail_config",
@@ -565,21 +598,40 @@ def add_guardrail_to_applied_guardrails_header(request_data: dict, guardrail_nam
         _metadata["applied_guardrails"] = [guardrail_name]
 
 
-def add_guardrail_scan_id(request_data: dict, scan_id: str | None) -> None:
+def add_guardrail_scan_id(
+    request_data: dict[str, object],
+    scan_id: str | None,
+    *,
+    guardrail_name: str | None,
+    provider: str,
+    stage: GuardrailEventHooks,
+) -> None:
     """
-    Record a provider scan id so it can be surfaced to the caller.
+    Record a provider scan id, keyed to the guardrail execution that produced it, so it can be surfaced to the caller.
 
     Guardrails only return scan details to the client when they block, so allowed requests carry no
-    audit trail. Ids recorded here become the x-litellm-guardrail-scan-id response header.
+    audit trail. Ids recorded here become the x-litellm-guardrail-scan-id response header, and the
+    (guardrail, stage, provider, scan_id) entries become the x-litellm-guardrail-scan-metadata header.
     """
     if not scan_id:
         return
     _, _metadata = get_or_create_metadata_bucket(request_data)
     existing: Final = _metadata.get(GUARDRAIL_SCAN_IDS_METADATA_KEY)
-    scan_ids: Final = tuple(existing) if isinstance(existing, (list, tuple)) else ()
+    scan_ids: Final[tuple[object, ...]] = tuple(existing) if isinstance(existing, (list, tuple)) else ()
     if scan_id not in scan_ids:
         _metadata[GUARDRAIL_SCAN_IDS_METADATA_KEY] = (*scan_ids, scan_id)
 
+    entry: Final[GuardrailScanMetadata] = {
+        "guardrail": guardrail_name,
+        "stage": stage.value,
+        "provider": provider,
+        "scan_id": scan_id,
+    }
+    existing_entries: Final = _metadata.get(GUARDRAIL_SCAN_METADATA_METADATA_KEY)
+    entries: Final[tuple[object, ...]] = tuple(existing_entries) if isinstance(existing_entries, (list, tuple)) else ()
+    if entry not in entries:
+        _metadata[GUARDRAIL_SCAN_METADATA_METADATA_KEY] = (*entries, entry)
+
 
 def add_policy_to_applied_policies_header(request_data: dict, policy_name: str | None):
     """
diff --git a/litellm/proxy/guardrails/guardrail_hooks/openai/moderations.py b/litellm/proxy/guardrails/guardrail_hooks/openai/moderations.py
index 10683550f85..c22d35509c1 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/openai/moderations.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/openai/moderations.py
@@ -17,7 +17,8 @@ from litellm.llms.custom_httpx.http_handler import (
     get_async_httpx_client,
     httpxSpecialProvider,
 )
-from litellm.types.guardrails import GuardrailEventHooks
+from litellm.proxy.common_utils.callback_utils import add_guardrail_scan_id
+from litellm.types.guardrails import GuardrailEventHooks, SupportedGuardrailIntegrations
 from litellm.types.utils import (
     GenericGuardrailAPIInputs,
     GuardrailStatus,
@@ -218,6 +219,13 @@ class OpenAIModerationGuardrail(OpenAIGuardrailBase, CustomGuardrail):
             metadata: Final = request_data.get("metadata") or {}
             request_data["metadata"] = metadata
             metadata["_openai_moderation_response"] = moderation_response.model_dump()
+            add_guardrail_scan_id(
+                request_data=request_data,
+                scan_id=moderation_response.id,
+                guardrail_name=self.guardrail_name,
+                provider=SupportedGuardrailIntegrations.OPENAI_MODERATION.value,
+                stage=GuardrailEventHooks.post_call if input_type == "response" else GuardrailEventHooks.pre_call,
+            )
 
         # Check if content is flagged and raise exception if needed
         self._check_moderation_result(moderation_response)
diff --git a/litellm/proxy/guardrails/guardrail_hooks/panw_prisma_airs/panw_prisma_airs.py b/litellm/proxy/guardrails/guardrail_hooks/panw_prisma_airs/panw_prisma_airs.py
index b73d3adb99e..3bc0dfabefc 100644
--- a/litellm/proxy/guardrails/guardrail_hooks/panw_prisma_airs/panw_prisma_airs.py
+++ b/litellm/proxy/guardrails/guardrail_hooks/panw_prisma_airs/panw_prisma_airs.py
@@ -721,10 +721,18 @@ class PanwPrismaAirsHandler(CustomGuardrail):
             }
         }
 
-    def _record_scan_id(self, request_data: dict[str, object], scan_result: Mapping[str, object]) -> None:
+    def _record_scan_id(
+        self, request_data: dict[str, object], scan_result: Mapping[str, object], stage: GuardrailEventHooks
+    ) -> None:
         """Surface the AIRS scan id on the response, so allowed calls are auditable too."""
         scan_id: Final = scan_result.get("scan_id")
-        add_guardrail_scan_id(request_data=request_data, scan_id=str(scan_id) if scan_id else None)
+        add_guardrail_scan_id(
+            request_data=request_data,
+            scan_id=str(scan_id) if scan_id else None,
+            guardrail_name=self.guardrail_name,
+            provider=self._PROVIDER_NAME,
+            stage=stage,
+        )
 
     def _handle_api_error_with_logging(
         self,
@@ -948,7 +956,7 @@ class PanwPrismaAirsHandler(CustomGuardrail):
             event_type=GuardrailEventHooks.post_call,
         )
         add_guardrail_to_applied_guardrails_header(request_data=request_data, guardrail_name=self.guardrail_name)
-        self._record_scan_id(request_data, scan_result)
+        self._record_scan_id(request_data, scan_result, GuardrailEventHooks.post_call)
 
     def _check_and_mark_scanned(self, data: dict, scan_type: str) -> bool:
         """
@@ -1078,7 +1086,7 @@ class PanwPrismaAirsHandler(CustomGuardrail):
                 duration=(end_time - start_time).total_seconds(),
                 event_type=GuardrailEventHooks.pre_call,
             )
-            self._record_scan_id(data, scan_result)
+            self._record_scan_id(data, scan_result, GuardrailEventHooks.pre_call)
 
             action: Final = scan_result.get("action", "block")
             category: Final = scan_result.get("category", "unknown")
@@ -1199,7 +1207,7 @@ class PanwPrismaAirsHandler(CustomGuardrail):
                 duration=(end_time - start_time).total_seconds(),
                 event_type=GuardrailEventHooks.post_call,
             )
-            self._record_scan_id(data, scan_result)
+            self._record_scan_id(data, scan_result, GuardrailEventHooks.post_call)
 
             action: Final = scan_result.get("action", "block")
             category: Final = scan_result.get("category", "unknown")
@@ -1401,7 +1409,7 @@ class PanwPrismaAirsHandler(CustomGuardrail):
                     duration=(end_time - start_time).total_seconds(),
                     event_type=GuardrailEventHooks.post_call,
                 )
-                self._record_scan_id(request_data, scan_result)
+                self._record_scan_id(request_data, scan_result, GuardrailEventHooks.post_call)
 
                 # Add guardrail to applied guardrails header for observability
                 add_guardrail_to_applied_guardrails_header(
@@ -1475,7 +1483,11 @@ class PanwPrismaAirsHandler(CustomGuardrail):
                 )
                 continue
 
-            self._record_scan_id(request_data, scan_result)
+            self._record_scan_id(
+                request_data,
+                scan_result,
+                GuardrailEventHooks.post_call if is_response else GuardrailEventHooks.pre_call,
+            )
 
             action = scan_result.get("action", "block")
             masked_args = self._masked_tool_call_arguments(
@@ -1829,7 +1841,11 @@ class PanwPrismaAirsHandler(CustomGuardrail):
                 new_texts.append(text)
                 continue
 
-            self._record_scan_id(request_data, scan_result)
+            self._record_scan_id(
+                request_data,
+                scan_result,
+                GuardrailEventHooks.post_call if is_response else GuardrailEventHooks.pre_call,
+            )
 
             action = scan_result.get("action", "block")
             masked_text = self._get_masked_text(scan_result, is_response=is_response)
@@ -1901,7 +1917,7 @@ class PanwPrismaAirsHandler(CustomGuardrail):
                 )
                 # If we reach here, fallback_on_error="allow"
             else:
-                self._record_scan_id(request_data, mcp_scan_result)
+                self._record_scan_id(request_data, mcp_scan_result, GuardrailEventHooks.pre_call)
                 action = mcp_scan_result.get("action", "block")
                 masked_text = self._get_masked_text(mcp_scan_result, is_response=False)
                 if action == "allow":
diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index 924f84be5f4..3250ae5cca9 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -235,6 +235,7 @@ _UNTRUSTED_ROOT_CONTROL_FIELDS: Final = (
     "applied_policies",
     "policy_sources",
     "guardrail_scan_ids",
+    "guardrail_scan_metadata",
     "routing_decision",
     GATEWAY_INJECTED_CACHE_METADATA_KEY,
     "pillar_response_headers",
@@ -291,6 +292,7 @@ _UNTRUSTED_METADATA_CONTROL_FIELDS: Final = (
     "applied_policies",
     "policy_sources",
     "guardrail_scan_ids",
+    "guardrail_scan_metadata",
     "routing_decision",
     GATEWAY_INJECTED_CACHE_METADATA_KEY,
     SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY,
diff --git a/tests/test_litellm/proxy/common_utils/test_callback_utils.py b/tests/test_litellm/proxy/common_utils/test_callback_utils.py
index 66f77db6da9..ecb2375d495 100644
--- a/tests/test_litellm/proxy/common_utils/test_callback_utils.py
+++ b/tests/test_litellm/proxy/common_utils/test_callback_utils.py
@@ -1,30 +1,33 @@
 import copy
+import json
 import sys
 from types import ModuleType, SimpleNamespace
+from typing import Final
+from unittest.mock import patch
 
 import pytest
 
-
+import litellm
+from litellm.caching.caching import DualCache
+from litellm.constants import MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH
+from litellm.integrations.custom_logger import CustomLogger
+from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.common_utils.callback_utils import (
+    _serialize_scan_metadata_header,
     add_guardrail_scan_id,
     add_policy_to_applied_policies_header,
     decrypt_callback_vars,
     encrypt_callback_vars,
     get_logging_caching_headers,
-    initialize_callbacks_on_proxy,
     get_remaining_tokens_and_requests_from_request_data,
+    initialize_callbacks_on_proxy,
     normalize_callback_names,
+    process_callback,
     sanitize_openai_provider_metadata,
     strip_callback_config,
 )
-import litellm
-from litellm.caching.caching import DualCache
-from litellm.integrations.custom_logger import CustomLogger
-from litellm.proxy._types import UserAPIKeyAuth
 from litellm.proxy.utils import ProxyLogging
-
-from unittest.mock import patch
-from litellm.proxy.common_utils.callback_utils import process_callback
+from litellm.types.guardrails import GuardrailEventHooks
 
 
 def test_get_remaining_tokens_and_requests_from_request_data():
@@ -189,20 +192,109 @@ def test_get_logging_caching_headers_merges_metadata_and_litellm_metadata():
     assert headers["x-litellm-policy-sources"] == "global-baseline=team_default"
 
 
+def _record(
+    request_data: dict[str, object],
+    scan_id: str | None,
+    guardrail_name: str = "airs",
+    provider: str = "panw_prisma_airs",
+    stage: GuardrailEventHooks = GuardrailEventHooks.pre_call,
+) -> None:
+    add_guardrail_scan_id(
+        request_data=request_data, scan_id=scan_id, guardrail_name=guardrail_name, provider=provider, stage=stage
+    )
+
+
 def test_add_guardrail_scan_id_dedupes_and_becomes_response_header():
     request_data = {"litellm_metadata": {}}
 
-    add_guardrail_scan_id(request_data=request_data, scan_id="scan-1")
-    add_guardrail_scan_id(request_data=request_data, scan_id="scan-1")
-    add_guardrail_scan_id(request_data=request_data, scan_id="scan-2")
-    add_guardrail_scan_id(request_data=request_data, scan_id=None)
+    _record(request_data, "scan-1")
+    _record(request_data, "scan-1")
+    _record(request_data, "scan-2")
+    _record(request_data, None)
 
     assert request_data["litellm_metadata"]["guardrail_scan_ids"] == ("scan-1", "scan-2")
     assert get_logging_caching_headers(request_data)["x-litellm-guardrail-scan-id"] == "scan-1,scan-2"
 
 
-def test_get_logging_caching_headers_omits_scan_id_header_without_scans():
-    assert "x-litellm-guardrail-scan-id" not in get_logging_caching_headers({"litellm_metadata": {}})
+def test_scan_metadata_header_maps_each_id_to_its_guardrail_stage_and_provider():
+    request_data: Final[dict[str, object]] = {"litellm_metadata": {}}
+
+    _record(
+        request_data, "scan-1", guardrail_name="airs", provider="panw_prisma_airs", stage=GuardrailEventHooks.pre_call
+    )
+    _record(
+        request_data, "mod-1", guardrail_name="mod", provider="openai_moderation", stage=GuardrailEventHooks.pre_call
+    )
+    _record(
+        request_data, "scan-2", guardrail_name="airs", provider="panw_prisma_airs", stage=GuardrailEventHooks.post_call
+    )
+    _record(
+        request_data, "scan-2", guardrail_name="airs", provider="panw_prisma_airs", stage=GuardrailEventHooks.post_call
+    )
+    _record(request_data, None, guardrail_name="mod", provider="openai_moderation", stage=GuardrailEventHooks.post_call)
+
+    headers: Final = get_logging_caching_headers(request_data)
+    assert headers is not None
+    assert headers["x-litellm-guardrail-scan-id"] == "scan-1,mod-1,scan-2"
+    assert json.loads(headers["x-litellm-guardrail-scan-metadata"]) == [
+        {"guardrail": "airs", "stage": "pre_call", "provider": "panw_prisma_airs", "scan_id": "scan-1"},
+        {"guardrail": "mod", "stage": "pre_call", "provider": "openai_moderation", "scan_id": "mod-1"},
+        {"guardrail": "airs", "stage": "post_call", "provider": "panw_prisma_airs", "scan_id": "scan-2"},
+    ]
+
+
+def test_scan_metadata_keeps_same_id_reused_across_stages():
+    request_data: Final[dict[str, object]] = {"metadata": {}}
+
+    _record(request_data, "scan-1", stage=GuardrailEventHooks.pre_call)
+    _record(request_data, "scan-1", stage=GuardrailEventHooks.post_call)
+
+    headers: Final = get_logging_caching_headers(request_data)
+    assert headers is not None
+    assert headers["x-litellm-guardrail-scan-id"] == "scan-1"
+    assert [entry["stage"] for entry in json.loads(headers["x-litellm-guardrail-scan-metadata"])] == [
+        "pre_call",
+        "post_call",
+    ]
+
+
+def test_scan_metadata_header_drops_trailing_entries_to_stay_within_length_limit():
+    request_data: Final[dict[str, object]] = {"litellm_metadata": {}}
+    scan_ids: Final = tuple(f"0f9c4b7e-3d2a-4c1b-9e8f-{index:012d}" for index in range(40))
+    for scan_id in scan_ids:
+        _record(request_data, scan_id, stage=GuardrailEventHooks.post_call)
+
+    headers: Final = get_logging_caching_headers(request_data)
+    assert headers is not None
+    assert headers["x-litellm-guardrail-scan-id"] == ",".join(scan_ids)
+    header: Final = headers["x-litellm-guardrail-scan-metadata"]
+    assert len(header) <= MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH
+    kept: Final = json.loads(header)
+    assert 1 < len(kept) < len(scan_ids)
+    assert [entry["scan_id"] for entry in kept] == list(scan_ids[: len(kept)])
+
+
+def test_serialize_scan_metadata_header_keeps_exactly_the_entries_that_fit():
+    entries: Final = ({"scan_id": "a"}, {"scan_id": "b"}, {"scan_id": "c"})
+    two_entries: Final = '[{"scan_id":"a"},{"scan_id":"b"}]'
+
+    assert _serialize_scan_metadata_header(entries, max_length=len(two_entries)) == two_entries
+    assert _serialize_scan_metadata_header(entries, max_length=len(two_entries) - 1) == '[{"scan_id":"a"}]'
+    assert _serialize_scan_metadata_header(entries, max_length=len(two_entries) + 1) == two_entries
+    assert _serialize_scan_metadata_header(entries, max_length=1000) == json.dumps(entries, separators=(",", ":"))
+    assert _serialize_scan_metadata_header(entries, max_length=5) is None
+    assert _serialize_scan_metadata_header((), max_length=1000) is None
+
+
+def test_scan_metadata_is_an_internal_metadata_key():
+    assert sanitize_openai_provider_metadata({"guardrail_scan_metadata": "x", "keep": "y"}) == {"keep": "y"}
+
+
+def test_get_logging_caching_headers_omits_scan_headers_without_scans():
+    headers: Final = get_logging_caching_headers({"litellm_metadata": {}})
+    assert headers is not None
+    assert "x-litellm-guardrail-scan-id" not in headers
+    assert "x-litellm-guardrail-scan-metadata" not in headers
 
 
 def test_initialize_callbacks_on_proxy_instantiates_compression_interception(
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/openai/test_moderations.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/openai/test_moderations.py
index 2b43720a126..615d06b0f42 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/openai/test_moderations.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/openai/test_moderations.py
@@ -3,14 +3,19 @@
 Test OpenAI Moderation Guardrail
 """
 
+import json
 import os
+from typing import Final
 
 
 from unittest.mock import MagicMock, patch
 
+import httpx
 import pytest
 
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
 from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.common_utils.callback_utils import get_logging_caching_headers
 from litellm.proxy.guardrails.guardrail_hooks.openai.moderations import (
     OpenAIModerationGuardrail,
 )
@@ -989,3 +994,30 @@ async def test_openai_moderation_initialize_guardrail_forwards_streaming_flags()
             assert guardrail.streaming_sampling_rate == 2
     finally:
         litellm.logging_callback_manager._reset_all_callbacks()
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(("input_type", "stage"), [("request", "pre_call"), ("response", "post_call")])
+async def test_openai_moderation_records_moderation_id_as_scan_metadata(input_type: str, stage: str):
+    """Each moderation call's id is exposed with the guardrail name, stage and provider that produced it."""
+    payload: Final = {
+        "id": f"modr-{stage}",
+        "model": "omni-moderation-latest",
+        "results": [{"flagged": False, "categories": {}, "category_scores": {}, "category_applied_input_types": {}}],
+    }
+    http_client: Final = AsyncHTTPHandler()
+    http_client.client = httpx.AsyncClient(transport=httpx.MockTransport(lambda _: httpx.Response(200, json=payload)))
+
+    with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}):
+        guardrail: Final = OpenAIModerationGuardrail(guardrail_name="openai-mod")
+    guardrail.async_handler = http_client
+    request_data: Final[dict[str, object]] = {"metadata": {}}
+
+    await guardrail.apply_guardrail(inputs={"texts": ["hello"]}, request_data=request_data, input_type=input_type)
+
+    headers: Final = get_logging_caching_headers(request_data)
+    assert headers is not None
+    assert headers["x-litellm-guardrail-scan-id"] == f"modr-{stage}"
+    assert json.loads(headers["x-litellm-guardrail-scan-metadata"]) == [
+        {"guardrail": "openai-mod", "stage": stage, "provider": "openai_moderation", "scan_id": f"modr-{stage}"}
+    ]
diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_panw_prisma_airs.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_panw_prisma_airs.py
index 8f29ba66814..3d7c6e06d94 100644
--- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_panw_prisma_airs.py
+++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_panw_prisma_airs.py
@@ -12,6 +12,7 @@ This test file follows LiteLLM's testing patterns and covers:
 import copy
 import json
 from datetime import datetime
+from typing import Final
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import httpx
@@ -5785,7 +5786,14 @@ class TestPanwAirsScanIdExposure:
 
         headers = get_logging_caching_headers(data)
         assert headers["x-litellm-guardrail-scan-id"] == "scan-abc-123"
-        assert "x-litellm-guardrail-scan-metadata" not in headers
+        assert json.loads(headers["x-litellm-guardrail-scan-metadata"]) == [
+            {
+                "guardrail": handler.guardrail_name,
+                "stage": "pre_call",
+                "provider": "panw_prisma_airs",
+                "scan_id": "scan-abc-123",
+            }
+        ]
 
     @pytest.mark.asyncio
     async def test_request_and_response_scan_ids_are_both_exposed(self, user_api_key_dict):
@@ -5809,6 +5817,26 @@ class TestPanwAirsScanIdExposure:
 
         headers = get_logging_caching_headers(data)
         assert headers["x-litellm-guardrail-scan-id"] == "scan-abc-123,scan-response-456"
+        assert [(e["stage"], e["scan_id"]) for e in json.loads(headers["x-litellm-guardrail-scan-metadata"])] == [
+            ("pre_call", "scan-abc-123"),
+            ("post_call", "scan-response-456"),
+        ]
+
+    @pytest.mark.asyncio
+    async def test_apply_guardrail_response_scan_is_tagged_post_call(self):
+        from litellm.proxy.common_utils.callback_utils import get_logging_caching_headers
+
+        handler: Final = self._handler(self.ALLOW_SCAN_RESULT)
+        request_data: Final[dict[str, object]] = {"litellm_call_id": "test-call-id", "model": "gpt-4", "metadata": {}}
+
+        await handler.apply_guardrail(
+            inputs={"texts": ["Hello world"]}, request_data=request_data, input_type="response"
+        )
+
+        headers: Final = get_logging_caching_headers(request_data)
+        assert headers is not None
+        entries: Final = json.loads(headers["x-litellm-guardrail-scan-metadata"])
+        assert [(e["stage"], e["provider"]) for e in entries] == [("post_call", "panw_prisma_airs")]
 
     @pytest.mark.asyncio
     async def test_repeated_scan_id_is_not_duplicated(self, user_api_key_dict):
@@ -5850,6 +5878,8 @@ class TestPanwAirsScanIdExposure:
 
         assert "guardrail_scan_ids" in _UNTRUSTED_METADATA_CONTROL_FIELDS
         assert "guardrail_scan_ids" in _UNTRUSTED_ROOT_CONTROL_FIELDS
+        assert "guardrail_scan_metadata" in _UNTRUSTED_METADATA_CONTROL_FIELDS
+        assert "guardrail_scan_metadata" in _UNTRUSTED_ROOT_CONTROL_FIELDS
 class TestPanwAirsBlockedErrorDetailPassthrough:
     """Regression tests for the full AIRS scan response on blocks.
 

From 0c0a1dd76f31b56059508dd674fee1764c83828f Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 06:34:36 +0000
Subject: [PATCH 199/223] test(cli): avoid mutable request tracking

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../proxy/client/cli/test_global_options.py            | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/tests/test_litellm/proxy/client/cli/test_global_options.py b/tests/test_litellm/proxy/client/cli/test_global_options.py
index 6de56573ffb..9ed9f91ab9f 100644
--- a/tests/test_litellm/proxy/client/cli/test_global_options.py
+++ b/tests/test_litellm/proxy/client/cli/test_global_options.py
@@ -37,16 +37,17 @@ def test_cli_version_flag(cli_runner):
     assert "LiteLLM Proxy Server Version: 1.2.3" in result.output
 
 
-def test_lite_version_does_not_fetch_model_cost_map():
+def test_lite_version_does_not_fetch_model_cost_map(tmp_path: Path) -> None:
     lite_path = shutil.which("lite")
     if lite_path is None:
         pytest.skip("lite executable is unavailable")
 
-    requests: list[str] = []
+    request_log: Path = tmp_path / "requests.log"
 
     class _CostMapHandler(BaseHTTPRequestHandler):
         def do_GET(self) -> None:
-            requests.append(self.path)
+            with request_log.open("a", encoding="utf-8") as log_file:
+                log_file.write(f"{self.path}\n")
             body = b'{"test-model": {"litellm_provider": "openai", "mode": "chat"}}'
             self.send_response(200)
             self.send_header("Content-Type", "application/json")
@@ -84,7 +85,8 @@ def test_lite_version_does_not_fetch_model_cost_map():
 
     assert result.returncode == 0
     assert "LiteLLM Proxy CLI Version" in result.stdout
-    assert requests == []
+    request_count: int = request_log.read_text(encoding="utf-8").count("\n") if request_log.exists() else 0
+    assert request_count == 0
 
 
 def test_cli_source_is_ascii_only():

From 9d90a544916c6f38397862dd18b6a4c12de98827 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Wed, 9 Sep 2026 00:06:26 -0700
Subject: [PATCH 200/223] revert(model-management): roll back #40047

This reverts commit e8e3172d7d70558929f32f057ebe4c7471c8c352

Restore the previous model update and router cost registration behavior while pricing compatibility is investigated
---
 .../model_management_endpoints.py             |  70 +---
 litellm/router.py                             |  26 +-
 tests/e2e/coverage_registry/mgmt.yaml         |   2 -
 .../management/test_model_lifecycle_e2e.py    | 365 ------------------
 tests/e2e/models.py                           |  74 +---
 tests/e2e/proxy_client.py                     | 199 +---------
 tests/e2e/test_proxy_client.py                |  57 +--
 tests/e2e/transport.py                        |   1 -
 .../test_model_management_endpoints.py        | 178 +--------
 .../test_router_model_cost_isolation.py       | 192 ---------
 ui/litellm-dashboard/src/lib/http/schema.d.ts |   5 +-
 11 files changed, 39 insertions(+), 1130 deletions(-)
 delete mode 100644 tests/e2e/management/test_model_lifecycle_e2e.py

diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index 742b9d9817f..0f19e9ce149 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -119,7 +119,6 @@ from litellm.types.router import (
     SPECIAL_MODEL_INFO_PARAMS,
     Deployment,
     GenericLiteLLMParams,
-    LiteLLM_Params,
     ModelInfo,
     updateDeployment,
 )
@@ -729,44 +728,6 @@ def _ptu_priced_deployment(model_params: Deployment) -> Deployment:
     )
 
 
-_OWNERSHIP_FIELDS: Final = frozenset(
-    {
-        "db_model",
-        "team_id",
-        "team_public_model_name",
-        "access_groups",
-        "created_at",
-        "created_by",
-        "updated_at",
-        "updated_by",
-        "blocked",
-    }
-)
-
-_STORED_REQUIRED_FIELDS: Final = frozenset(
-    name for model in (LiteLLM_Params, ModelInfo) for name, field in model.model_fields.items() if field.is_required()
-)
-
-_NULL_CLEAR_IGNORED_FIELDS: Final = _OWNERSHIP_FIELDS | _STORED_REQUIRED_FIELDS | frozenset(PTU_MODEL_INFO_FIELDS)
-
-
-def _explicitly_cleared_fields(patch: BaseModel | None) -> frozenset[str]:
-    """The keys a patch sends as an explicit null, which update_db_model removes from the
-    stored blob (JSON Merge Patch). Ownership keys are left alone, as are the keys the stored
-    models require, since clearing one writes a row no reload can rebuild through
-    LiteLLM_Params / ModelInfo. The PTU keys are handled by _explicitly_cleared_ptu_fields,
-    whose clear is gated on the feature flag. Applied after both blobs merge, so a model_info blob
-    the UI echoes back cannot resurrect a pricing key the litellm_params patch clears.
-    """
-    if patch is None:
-        return frozenset()
-    return frozenset(
-        field
-        for field in patch.model_fields_set
-        if field not in _NULL_CLEAR_IGNORED_FIELDS and getattr(patch, field) is None
-    )
-
-
 def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> PrismaCompatibleUpdateDBModel:
     if updated_patch.model_info is not None:
         _raise_if_ptu_cost_attribution_disabled(updated_patch.model_info.model_dump(exclude_none=True))
@@ -787,15 +748,25 @@ def update_db_model(db_model: Deployment, updated_patch: updateDeployment) -> Pr
     if updated_patch.model_info:
         merged_model_info.update(updated_patch.model_info.model_dump(exclude_none=True))
 
-    for field in _explicitly_cleared_fields(updated_patch.litellm_params):
-        merged_litellm_params.pop(field, None)
-        if field in SPECIAL_MODEL_INFO_PARAMS:
-            merged_model_info.pop(field, None)
-    for field in _explicitly_cleared_fields(updated_patch.model_info):
-        merged_model_info.pop(field, None)
-        if field in SPECIAL_MODEL_INFO_PARAMS:
-            merged_litellm_params.pop(field, None)
+    # Honor explicit-null clears LAST, after both merges, so a model_info blob the UI
+    # passes through (which today re-sends the OLD pricing on every save) cannot
+    # silently undo a litellm_params clear via .update().
+    #
+    # Restricted to SPECIAL_MODEL_INFO_PARAMS (input/output cost per token/character
+    # and cache read/write costs) so this path cannot be used to null out privileged
+    # model_info fields like team_id or access groups. SPECIAL_MODEL_INFO_PARAMS are
+    # mirrored between litellm_params and model_info by Deployment.__init__, so the
+    # clear propagates to both blobs.
+    if updated_patch.litellm_params:
+        for field in updated_patch.litellm_params.model_fields_set:
+            if field in SPECIAL_MODEL_INFO_PARAMS and getattr(updated_patch.litellm_params, field) is None:
+                merged_litellm_params.pop(field, None)
+                merged_model_info.pop(field, None)
     if updated_patch.model_info:
+        for field in updated_patch.model_info.model_fields_set:
+            if field in SPECIAL_MODEL_INFO_PARAMS and getattr(updated_patch.model_info, field) is None:
+                merged_model_info.pop(field, None)
+                merged_litellm_params.pop(field, None)
         for field in _explicitly_cleared_ptu_fields(updated_patch.model_info):
             merged_model_info.pop(field, None)
 
@@ -845,9 +816,8 @@ async def patch_model(
     """
     PATCH Endpoint for partial model updates.
 
-    JSON Merge Patch semantics over `litellm_params` and `model_info`: a key absent from the
-    body is unchanged, a key sent as null is removed from the stored row, and a key sent with a
-    value is set (identity and ownership keys such as `id` and `team_id` ignore a null).
+    Only updates the fields specified in the request while preserving other existing values.
+    Follows proper PATCH semantics by only modifying provided fields.
 
     Args:
         model_id: The ID of the model to update
diff --git a/litellm/router.py b/litellm/router.py
index 1252d7e7487..934a4ac86a9 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -628,15 +628,6 @@ RETRY_BREADCRUMB_EXCLUDED_KWARGS: Final = frozenset(
 RETRY_BREADCRUMB_LIMIT: Final = 4
 
 
-# Cost-map keys created by _register_deployment_in_model_cost, which shares one flat
-# namespace with the built-in model catalog. Only a key it created may be evicted, or a
-# deployment whose id names a real model would strip that model's pricing and
-# capabilities for every other deployment of it. delete_deployment gives a key back once no
-# live router still serves that id, so a later catalog refresh that starts serving the name
-# is not treated as a deployment's own.
-_DEPLOYMENT_COST_MAP_KEYS: Final[set[str]] = set()  # mutable-ok: ownership of shared cost-map keys
-
-
 class FallbackAwareStreamWrapper(CustomStreamWrapper):
     """Base for the Router's chat-completion stream wrappers, which are built around the
     attempt the Router picked first and have to repoint themselves when a fallback takes over."""
@@ -9770,7 +9761,6 @@ class Router:
         """
         idx: Final = len(self.model_list)
         self.model_list.append(model)
-        _live_routers.add(self)  # mutable-ok: track dynamic routers without extending their lifetimes
         self._invalidate_model_group_info_cache()
         self._invalidate_access_groups_cache()
 
@@ -9939,12 +9929,7 @@ class Router:
         """Write a deployment's metadata into ``litellm.model_cost``.
 
         Runs when a deployment is added and again after a price data reload, so
-        the entries a refresh rebuilds are the ones a fresh boot would produce. An
-        entry this function created is replaced rather than merged, so a price cleared
-        from the deployment does not linger from an earlier registration and keep
-        billing at the old rate. An entry it did not create is left to merge, because
-        a deployment id that collides with a catalog model name shares that model's
-        entry with every other deployment of it.
+        the entries a refresh rebuilds are the ones a fresh boot would produce.
         Nothing is recorded for replay: a refresh walks the live routers instead,
         so a deleted, repointed or never-added deployment, and a discarded router,
         drop out of the rebuild on their own.
@@ -9961,10 +9946,6 @@ class Router:
             }
 
         if model_id is not None:
-            if model_id in _DEPLOYMENT_COST_MAP_KEYS:
-                litellm.model_cost.pop(model_id, None)  # mutable-ok: remove cleared prices from the shared entry
-            elif model_id not in litellm.model_cost:
-                _DEPLOYMENT_COST_MAP_KEYS.add(model_id)  # mutable-ok: retain shared ownership across reloads
             litellm.register_model(
                 model_cost={model_id: model_info},
                 persist_across_reloads=False,
@@ -10061,11 +10042,6 @@ class Router:
                 _budget_limiter: Final = self._get_router_deployment_budget_limiter()
                 if _budget_limiter is not None:
                     _budget_limiter.unregister_deployment_budget(model_id=id)
-                if not any(
-                    router is not self and id in router.model_id_to_deployment_index_map
-                    for router in tuple(_live_routers)
-                ):
-                    _DEPLOYMENT_COST_MAP_KEYS.discard(id)  # mutable-ok: the last owning router released this key
                 try:
                     self._unregister_pre_routing_strategy_for_deployment(
                         deployment=item if isinstance(item, Deployment) else Deployment(**item)
diff --git a/tests/e2e/coverage_registry/mgmt.yaml b/tests/e2e/coverage_registry/mgmt.yaml
index 83f1711a245..c8d7037d2fd 100644
--- a/tests/e2e/coverage_registry/mgmt.yaml
+++ b/tests/e2e/coverage_registry/mgmt.yaml
@@ -76,8 +76,6 @@
 - {id: mgmt.credential_migration.check.happy_path, module: mgmt, tier: P2, surface: api, assertions: [happy_path], source: "key_management_endpoints.py:4252", rationale: "Encryption migration (smoke)"}
 - {id: mgmt.credential.new.serves_request, module: mgmt, tier: P1, surface: api, assertions: [serves_request], source: "credential_endpoints/endpoints.py:42", rationale: "Stored credential resolves into a deployment and serves a live /messages request"}
 - {id: mgmt.model.test_connection.happy_path, module: mgmt, tier: P0, surface: api, assertions: [happy_path], source: "_health_endpoints.py:1785", rationale: "Test Connection for a responses-mode Bedrock Mantle deployment reaches the live provider and reports success; this exact shape 500ed on an acompletion partial before v1.91.0", fail_before_fix: proven}
-- {id: mgmt.model.update.preserves_unrelated_fields, module: mgmt, tier: P0, surface: api, assertions: [preserves_unrelated_fields], source: "model_management_endpoints.py:731", rationale: "A partial PATCH changes only the keys it names; every other stored key reads back byte-for-byte, and the new rate reaches billing"}
-- {id: mgmt.model.update.clear_persists, module: mgmt, tier: P0, surface: api, assertions: [clear_persists], source: "model_management_endpoints.py:731", fail_before_fix: proven, rationale: "An explicit null on PATCH removes the key from the stored row and billing falls back to the cost map; before the fix only mirrored pricing keys could be cleared"}
 - {id: mgmt.mcp_server.new.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:1577", rationale: "Every field of an admin-created MCP server reads back verbatim, by id and in the list, on every replica"}
 - {id: mgmt.mcp_server.list.persists, module: mgmt, tier: P1, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:1112", rationale: "The MCP page grid lists a created server with the same field values its detail view reports"}
 - {id: mgmt.mcp_server.update.preserves_unrelated_fields, module: mgmt, tier: P0, surface: api, assertions: [preserves_unrelated_fields], source: "mcp_management_endpoints.py:2665", rationale: "A dashboard edit of one field leaves the others intact and is visible on every replica after one save; edits that took several saves to stick were a customer defect"}
diff --git a/tests/e2e/management/test_model_lifecycle_e2e.py b/tests/e2e/management/test_model_lifecycle_e2e.py
deleted file mode 100644
index 99044efeb46..00000000000
--- a/tests/e2e/management/test_model_lifecycle_e2e.py
+++ /dev/null
@@ -1,365 +0,0 @@
-"""Live e2e: the lifecycle of a DB-stored deployment through the model management
-routes, read back on every gateway replica.
-
-Each test registers its own gpt-4o-mini mock deployment through /model/new (deleted
-on teardown) with non-default pricing, context window, mode, and api_base pinned, then
-walks the lifecycle up to the step it proves: the create reads back field for field,
-a partial PATCH changes only the key it names, an explicit null on PATCH removes the
-key from the stored row (JSON Merge Patch), a call after the price clear is billed at
-the cost map's rate rather than the cleared override, and a delete removes the
-deployment from /model/info and makes the model name unknown to /chat/completions.
-
-The stored row is read back from /model/info, a control-plane route with one answer
-behind it. What every gateway must agree on is which models it serves, so the create
-and delete steps poll /v1/models on every URL in PROXY_REPLICA_URLS through
-ProxyClient.read_model_back_everywhere, failing by name on the gateway that never converged.
-"""
-
-from __future__ import annotations
-
-import math
-import time
-from collections.abc import Callable
-from dataclasses import dataclass
-from typing import Final
-
-import pytest
-from pydantic import BaseModel
-
-from e2e_config import unique_marker
-from e2e_http import unwrap
-from lifecycle import ResourceManager
-from management_client import ManagementClient
-from models import (
-    ChatBody,
-    ChatMessage,
-    Clear,
-    LiteLLMParamsBody,
-    LiteLLMParamsPatch,
-    ModelInfoBody,
-    ModelInfoEntry,
-    ModelInfoResponse,
-    ModelNewBody,
-    ModelPatchBody,
-    ModelsListResponse,
-    SpendLogRow,
-)
-
-pytestmark = pytest.mark.e2e
-
-BACKEND_MODEL: Final = "gpt-4o-mini"
-PINNED_API_BASE: Final = "https://pinned.example.invalid/v1"
-PINNED_MAX_INPUT_TOKENS: Final = 4096
-PINNED_INPUT_RATE: Final = 1e-05
-UPDATED_INPUT_RATE: Final = 2e-05
-PINNED_OUTPUT_RATE: Final = 3e-05
-
-# A PATCH lands on the control plane, and each gateway picks it up on its own config
-# reload, so the first call after the write can still be billed at the old rate. There
-# is no price on the gateway's data-plane surface to poll, so the billing steps drive
-# calls until the new rate shows up in the spend row and let the deadline be what fails.
-BILLING_CONVERGENCE_TIMEOUT: Final = 90.0
-BILLING_CONVERGENCE_INTERVAL: Final = 5.0
-
-
-@dataclass(frozen=True, slots=True)
-class Registered:
-    model_name: str
-    model_id: str
-
-
-class _ErrorDetail(BaseModel):
-    message: str
-
-
-class _ErrorEnvelope(BaseModel):
-    error: _ErrorDetail
-
-
-def _register(client: ManagementClient, resources: ResourceManager) -> Registered:
-    """Register a mock gpt-4o-mini deployment with every field under test pinned to a
-    non-default value, deleted on teardown. max_input_tokens is pinned in
-    litellm_params only: a value in model_info is copied into the shared cost-map
-    entry for the backend model, which would leak into every other gpt-4o-mini
-    deployment on the proxy."""
-    model_name: Final = f"e2e-lifecycle-{unique_marker()}"
-    model_id: Final = client.proxy.register_model(
-        ModelNewBody(
-            model_name=model_name,
-            litellm_params=LiteLLMParamsBody(
-                model=BACKEND_MODEL,
-                mock_response="ok",
-                api_base=PINNED_API_BASE,
-                input_cost_per_token=PINNED_INPUT_RATE,
-                output_cost_per_token=PINNED_OUTPUT_RATE,
-                max_input_tokens=PINNED_MAX_INPUT_TOKENS,
-            ),
-            model_info=ModelInfoBody(mode="chat"),
-        )
-    )
-    resources.defer(lambda: client.proxy.delete_model(model_id))
-    return Registered(model_name=model_name, model_id=model_id)
-
-
-def _entry(body: ModelInfoResponse, model_name: str) -> ModelInfoEntry | None:
-    return next((entry for entry in body.data if entry.model_name == model_name), None)
-
-
-def _stored_entry(
-    client: ManagementClient,
-    model_name: str,
-    *,
-    converged: Callable[[ModelInfoEntry], bool],
-) -> ModelInfoEntry:
-    """The stored /model/info row for `model_name`, once it satisfies `converged`.
-
-    /model/info is a control-plane route: the gateways named in PROXY_REPLICA_URLS
-    serve the LLM surface only, so the stored row has one answer, not one per
-    gateway. What every gateway must agree on is which models it serves, and
-    `_assert_served_everywhere` / `_assert_absent_everywhere` poll /v1/models for
-    that."""
-
-    def has_converged(body: ModelInfoResponse) -> bool:
-        entry: Final = _entry(body, model_name)
-        return entry is not None and converged(entry)
-
-    body: Final = client.proxy.read_model_back("/model/info", ModelInfoResponse, predicate=has_converged)
-    entry: Final = _entry(body, model_name)
-    assert entry is not None, f"/model/info stopped listing {model_name!r} between the poll and the read"
-    return entry
-
-
-def _serves(body: ModelsListResponse, model_name: str) -> bool:
-    return any(entry.id == model_name for entry in body.data)
-
-
-def _assert_served_everywhere(client: ManagementClient, model_name: str) -> None:
-    _ = client.proxy.read_model_back_everywhere(
-        "/v1/models", ModelsListResponse, predicate=lambda body: _serves(body, model_name)
-    )
-
-
-def _assert_absent_everywhere(client: ManagementClient, model_name: str) -> None:
-    _ = client.proxy.read_model_back_everywhere(
-        "/v1/models", ModelsListResponse, predicate=lambda body: not _serves(body, model_name)
-    )
-
-
-def _assert_untouched_keys_as_created(entry: ModelInfoEntry, replica: str) -> None:
-    """The keys no later step names read back byte-for-byte as /model/new wrote them."""
-    params: Final = entry.litellm_params
-    assert params.model == BACKEND_MODEL, f"{replica}: litellm_params.model {params.model!r} != {BACKEND_MODEL!r}"
-    assert params.api_base == PINNED_API_BASE, f"{replica}: api_base {params.api_base!r} != {PINNED_API_BASE!r}"
-    assert params.output_cost_per_token == PINNED_OUTPUT_RATE, (
-        f"{replica}: output_cost_per_token {params.output_cost_per_token} != {PINNED_OUTPUT_RATE}"
-    )
-    assert entry.model_info.mode == "chat", f"{replica}: model_info.mode {entry.model_info.mode!r} != 'chat'"
-
-
-def _approx_equal(actual: float, expected: float) -> bool:
-    return math.isclose(actual, expected, rel_tol=1e-2, abs_tol=1e-9)
-
-
-def _priced(rows: list[SpendLogRow]) -> bool:
-    return any(row.metadata and row.metadata.cost_breakdown and row.metadata.cost_breakdown.input_cost for row in rows)
-
-
-def _billed_input_cost(client: ManagementClient, model_name: str, key: str) -> tuple[int, float]:
-    """Drive one chat completion through `model_name` and return the prompt tokens and
-    input cost its spend row recorded, so a test can assert the rate the gateway actually
-    billed rather than only the rate it stored."""
-    chat: Final = unwrap(
-        client.proxy.chat(
-            key,
-            ChatBody(
-                model=model_name,
-                messages=[ChatMessage(role="user", content=f"reply with one word {unique_marker()}")],
-                max_tokens=16,
-            ),
-        )
-    )
-    assert chat.id is not None, f"chat completion carried no id to find its spend row by: {chat}"
-
-    rows: Final = client.proxy.poll_logs_for_request_id(chat.id, predicate=_priced)
-    row: Final = next((row for row in rows if row.request_id == chat.id), None)
-    assert row is not None and row.metadata and row.metadata.cost_breakdown, (
-        f"no priced spend row for request {chat.id} before the deadline: {rows}"
-    )
-    prompt_tokens: Final = row.prompt_tokens or 0
-    input_cost: Final = row.metadata.cost_breakdown.input_cost
-    assert prompt_tokens > 0 and input_cost is not None, f"spend row logged no prompt tokens or input cost: {row}"
-    return prompt_tokens, input_cost
-
-
-def _await_billed_input_cost(
-    client: ManagementClient, model_name: str, key: str, *, expected_rate: float
-) -> tuple[int, float]:
-    """Drive calls through `model_name` until one is billed at `expected_rate`, and
-    return the prompt tokens and input cost of the last spend row either way.
-
-    Only the deadline ends the wait unsatisfied: a rate that never reaches the gateway
-    comes back as the stale cost for the caller to assert on, so the rate the caller
-    expects is still what decides the test."""
-    deadline: Final = time.monotonic() + BILLING_CONVERGENCE_TIMEOUT
-    while True:
-        prompt_tokens, input_cost = _billed_input_cost(client, model_name, key)
-        if _approx_equal(input_cost, prompt_tokens * expected_rate) or time.monotonic() >= deadline:
-            return prompt_tokens, input_cost
-        time.sleep(BILLING_CONVERGENCE_INTERVAL)
-
-
-class TestModelLifecycle:
-    @pytest.mark.covers("mgmt.model.add.persists")
-    def test_create_reads_back_every_field_and_serves_on_every_replica(
-        self, client: ManagementClient, resources: ResourceManager
-    ) -> None:
-        registered = _register(client, resources)
-
-        entry = _stored_entry(client, registered.model_name, converged=lambda _entry: True)
-        stored = "/model/info"
-
-        _assert_untouched_keys_as_created(entry, stored)
-        assert entry.litellm_params.input_cost_per_token == PINNED_INPUT_RATE, (
-            f"{stored}: input_cost_per_token {entry.litellm_params.input_cost_per_token} != {PINNED_INPUT_RATE}"
-        )
-        assert entry.litellm_params.max_input_tokens == PINNED_MAX_INPUT_TOKENS, (
-            f"{stored}: max_input_tokens {entry.litellm_params.max_input_tokens} != {PINNED_MAX_INPUT_TOKENS}"
-        )
-        assert entry.model_info.id == registered.model_id, (
-            f"{stored}: model_info.id {entry.model_info.id!r} != {registered.model_id!r}"
-        )
-
-        _assert_served_everywhere(client, registered.model_name)
-
-    @pytest.mark.covers("mgmt.model.update.preserves_unrelated_fields")
-    def test_partial_update_changes_only_the_named_key(
-        self, client: ManagementClient, resources: ResourceManager, scoped_key: str
-    ) -> None:
-        registered = _register(client, resources)
-
-        stored = client.proxy.patch_model(
-            registered.model_id,
-            ModelPatchBody(litellm_params=LiteLLMParamsPatch(input_cost_per_token=UPDATED_INPUT_RATE)),
-        )
-        assert stored.litellm_params.input_cost_per_token == UPDATED_INPUT_RATE, (
-            f"PATCH response stores input_cost_per_token {stored.litellm_params.input_cost_per_token}, "
-            f"sent {UPDATED_INPUT_RATE}"
-        )
-
-        entry = _stored_entry(
-            client,
-            registered.model_name,
-            converged=lambda entry: entry.litellm_params.input_cost_per_token == UPDATED_INPUT_RATE,
-        )
-        stored = "/model/info"
-
-        _assert_untouched_keys_as_created(entry, stored)
-        assert entry.litellm_params.max_input_tokens == PINNED_MAX_INPUT_TOKENS, (
-            f"{stored}: max_input_tokens {entry.litellm_params.max_input_tokens} != {PINNED_MAX_INPUT_TOKENS}"
-        )
-        assert entry.model_info.input_cost_per_token == UPDATED_INPUT_RATE, (
-            f"{stored}: model_info.input_cost_per_token {entry.model_info.input_cost_per_token} "
-            f"did not mirror the updated {UPDATED_INPUT_RATE}"
-        )
-
-        prompt_tokens, input_cost = _await_billed_input_cost(
-            client, registered.model_name, scoped_key, expected_rate=UPDATED_INPUT_RATE
-        )
-        assert _approx_equal(input_cost, prompt_tokens * UPDATED_INPUT_RATE), (
-            f"input_cost {input_cost} != {prompt_tokens} tokens * updated rate {UPDATED_INPUT_RATE} "
-            f"= {prompt_tokens * UPDATED_INPUT_RATE}; the partial update did not reach billing"
-        )
-
-    @pytest.mark.covers("mgmt.model.update.clear_persists")
-    def test_explicit_null_removes_the_key_from_the_stored_row(
-        self, client: ManagementClient, resources: ResourceManager
-    ) -> None:
-        registered = _register(client, resources)
-
-        stored = client.proxy.patch_model(
-            registered.model_id,
-            ModelPatchBody(litellm_params=LiteLLMParamsPatch(max_input_tokens=Clear(), input_cost_per_token=Clear())),
-        )
-        stored_params = stored.litellm_params.model_fields_set
-        assert "max_input_tokens" not in stored_params, (
-            f"stored litellm_params still carries max_input_tokens "
-            f"{stored.litellm_params.max_input_tokens} after an explicit null"
-        )
-        assert "input_cost_per_token" not in stored_params, (
-            f"stored litellm_params still carries input_cost_per_token "
-            f"{stored.litellm_params.input_cost_per_token} after an explicit null"
-        )
-        assert "max_input_tokens" not in stored.model_info.model_fields_set, (
-            f"stored model_info carries max_input_tokens {stored.model_info.max_input_tokens} after the clear"
-        )
-        assert "input_cost_per_token" not in stored.model_info.model_fields_set, (
-            f"stored model_info still mirrors input_cost_per_token {stored.model_info.input_cost_per_token}"
-        )
-
-        cost_map_input_rate = client.proxy.model_cost_map()[BACKEND_MODEL].input_cost_per_token
-        assert cost_map_input_rate is not None, f"cost map has no input rate for {BACKEND_MODEL}"
-        entry = _stored_entry(
-            client,
-            registered.model_name,
-            converged=lambda entry: "max_input_tokens" not in entry.litellm_params.model_fields_set,
-        )
-        stored = "/model/info"
-
-        _assert_untouched_keys_as_created(entry, stored)
-        served = entry.litellm_params.model_fields_set
-        assert "max_input_tokens" not in served, (
-            f"{stored}: litellm_params still serves max_input_tokens {entry.litellm_params.max_input_tokens}"
-        )
-        assert "input_cost_per_token" not in served, (
-            f"{stored}: litellm_params still serves input_cost_per_token {entry.litellm_params.input_cost_per_token}"
-        )
-        assert entry.model_info.input_cost_per_token == cost_map_input_rate, (
-            f"{stored}: model_info.input_cost_per_token {entry.model_info.input_cost_per_token} is not the "
-            f"cost map's {cost_map_input_rate}; the cleared override {PINNED_INPUT_RATE} still resolves"
-        )
-
-    @pytest.mark.covers("mgmt.model.update.clear_persists")
-    def test_cleared_price_is_billed_at_the_cost_map_rate(
-        self, client: ManagementClient, resources: ResourceManager, scoped_key: str
-    ) -> None:
-        registered = _register(client, resources)
-        _ = client.proxy.patch_model(
-            registered.model_id,
-            ModelPatchBody(litellm_params=LiteLLMParamsPatch(max_input_tokens=Clear(), input_cost_per_token=Clear())),
-        )
-        _ = _stored_entry(
-            client,
-            registered.model_name,
-            converged=lambda entry: "input_cost_per_token" not in entry.litellm_params.model_fields_set,
-        )
-        cost_map_input_rate = client.proxy.model_cost_map()[BACKEND_MODEL].input_cost_per_token
-        assert cost_map_input_rate is not None, f"cost map has no input rate for {BACKEND_MODEL}"
-
-        prompt_tokens, input_cost = _await_billed_input_cost(
-            client, registered.model_name, scoped_key, expected_rate=cost_map_input_rate
-        )
-
-        assert _approx_equal(input_cost, prompt_tokens * cost_map_input_rate), (
-            f"input_cost {input_cost} != {prompt_tokens} tokens * cost map rate {cost_map_input_rate} "
-            f"= {prompt_tokens * cost_map_input_rate}"
-        )
-        assert not _approx_equal(input_cost, prompt_tokens * PINNED_INPUT_RATE), (
-            f"input_cost {input_cost} is still billed at the cleared override {PINNED_INPUT_RATE}"
-        )
-
-    @pytest.mark.covers("mgmt.model.delete.persists")
-    def test_delete_removes_the_deployment_everywhere(
-        self, client: ManagementClient, resources: ResourceManager, scoped_key: str
-    ) -> None:
-        registered = _register(client, resources)
-        _ = _stored_entry(client, registered.model_name, converged=lambda _entry: True)
-
-        client.delete_model_strict(registered.model_id)
-
-        _assert_absent_everywhere(client, registered.model_name)
-        refused = client.chat_status(scoped_key, registered.model_name, "hi this is a test")
-        assert refused.status_code == 400, (
-            f"chat against the deleted model must be rejected 400, got {refused.status_code}: {refused.body[:300]}"
-        )
-        envelope = _ErrorEnvelope.model_validate_json(refused.body)
-        assert envelope.error.message, f"400 body must carry an error message: {refused.body[:300]}"
diff --git a/tests/e2e/models.py b/tests/e2e/models.py
index 8db37bd25a5..62810e6cfd9 100644
--- a/tests/e2e/models.py
+++ b/tests/e2e/models.py
@@ -655,11 +655,6 @@ class OcrResponse(BaseModel):
 # ---------- spend logs ----------
 
 
-class CostBreakdown(BaseModel):
-    input_cost: float | None = None
-    output_cost: float | None = None
-
-
 class GuardrailEntityMatch(BaseModel):
     entity_type: str
     score: float
@@ -677,7 +672,6 @@ class GuardrailRunRecord(BaseModel):
 
 
 class SpendLogMetadata(BaseModel):
-    cost_breakdown: CostBreakdown | None = None
     applied_guardrails: list[str] | None = None
     guardrail_information: list[GuardrailRunRecord] | None = None
 
@@ -821,42 +815,15 @@ class CustomPricing(BaseModel):
         return prompt_tokens * self.input_cost_per_token + completion_tokens * self.output_cost_per_token
 
 
-class DeploymentParams(CustomPricing):
-    """The litellm_params half of a /model/info row: the stored deployment as written,
-    credentials scrubbed. Unlike model_info it is never back-filled from the cost map,
-    so a key the store dropped is absent here (check `model_fields_set`)."""
-
-    model: str | None = None
-    api_base: str | None = None
-    max_input_tokens: int | None = None
-
-
-class DeploymentModelInfo(CustomPricing):
-    id: str | None = None
-    max_input_tokens: int | None = None
-
-
 class ModelInfoEntry(BaseModel):
     """One /model/info row. `litellm_params` is the configured deployment (carries
     any custom-pricing override); `model_info` is the price the proxy resolved for
-    it - the override merged over the cost-map defaults, so a key cleared from the
-    stored blob reads as the cost-map default here."""
+    it - the override merged over the cost-map defaults."""
 
     model_config = ConfigDict(protected_namespaces=())
     model_name: str
-    litellm_params: DeploymentParams = DeploymentParams()
-    model_info: DeploymentModelInfo = DeploymentModelInfo()
-
-
-class StoredDeployment(BaseModel):
-    """PATCH /model/{model_id}/update answers with the row as stored: both blobs raw,
-    nothing back-filled, so a cleared key is absent from `model_fields_set` of the
-    blob it was cleared from."""
-
-    model_config = ConfigDict(protected_namespaces=())
-    model_name: str
-    litellm_params: DeploymentParams
-    model_info: DeploymentModelInfo
+    litellm_params: CustomPricing = CustomPricing()
+    model_info: CustomPricing = CustomPricing()
 
 
 class ModelInfoResponse(BaseModel):
@@ -957,10 +924,9 @@ class LiteLLMParamsBody(BaseModel):
     timeout: float | None = None
     tpm: int | None = None
     weight: int | None = None
-    max_input_tokens: int | None = None
 
 
-ModelMode = Literal["chat", "batch", "realtime", "image_generation"]
+ModelMode = Literal["batch", "realtime", "image_generation"]
 
 
 class ModelInfoBody(BaseModel):
@@ -970,7 +936,6 @@ class ModelInfoBody(BaseModel):
     # constraint when a prior run's teardown had not removed the row.
     id: str | None = None
     mode: ModelMode | None = None
-    max_input_tokens: int | None = None
     access_groups: list[str] | None = None
     team_id: str | None = None
     allowed_fails_policy: dict[str, int] | None = None
@@ -999,37 +964,6 @@ class ModelUpdateBody(BaseModel):
     model_info: ModelInfoBody
 
 
-class Clear(BaseModel):
-    """Serializes to JSON null. The transport dumps every body with exclude_none, so a
-    field set to this is how a patch carries the explicit null that removes a stored key."""
-
-    @model_serializer
-    def _as_null(self) -> None:
-        return None
-
-
-class LiteLLMParamsPatch(BaseModel):
-    api_base: str | Clear | None = None
-    max_input_tokens: int | Clear | None = None
-    input_cost_per_token: float | Clear | None = None
-    output_cost_per_token: float | Clear | None = None
-
-
-class ModelInfoPatch(BaseModel):
-    mode: ModelMode | Clear | None = None
-    max_input_tokens: int | Clear | None = None
-
-
-class ModelPatchBody(BaseModel):
-    """PATCH /model/{model_id}/update body, JSON Merge Patch over the stored deployment:
-    a field left None is dropped from the body and unchanged, a field set to `Clear()`
-    is sent as null and removed, a field with a value is set."""
-
-    model_config = ConfigDict(protected_namespaces=())
-    litellm_params: LiteLLMParamsPatch | None = None
-    model_info: ModelInfoPatch | None = None
-
-
 class ModelListEntry(BaseModel):
     id: str
 
diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py
index fa1b06fe7ed..1bac5116a9d 100644
--- a/tests/e2e/proxy_client.py
+++ b/tests/e2e/proxy_client.py
@@ -10,10 +10,10 @@ from __future__ import annotations
 
 import time
 import warnings
-from collections.abc import Callable, Iterator, Mapping
+from collections.abc import Callable, Mapping
 from dataclasses import dataclass
-from datetime import datetime
 from functools import reduce
+from datetime import datetime
 from types import MappingProxyType
 from typing import Final
 
@@ -62,7 +62,6 @@ from models import (
     ModelMode,
     ModelNewBody,
     ModelNewResponse,
-    ModelPatchBody,
     ModelsListParams,
     ModelsListResponse,
     ModelUpdateBody,
@@ -73,7 +72,6 @@ from models import (
     SpendLogsPage,
     SpendLogsPageParams,
     SpendLogsParams,
-    StoredDeployment,
     ToolsetCreateBody,
     ToolsetRow,
     ToolsetUpdateBody,
@@ -134,103 +132,6 @@ class NotServableOn:
     last_result: Result[ModelsListResponse] | None
 
 
-type BodyReader[R: BaseModel] = Callable[[float], Result[R]]
-
-
-@dataclass(frozen=True, slots=True)
-class BodyNotConverged[R: BaseModel]:
-    """The deadline passed without a read the predicate accepted; `last_result` is the
-    final read, so the caller can tell a body that never matched from a read that
-    failed."""
-
-    last_result: Result[R] | None
-
-
-@dataclass(frozen=True, slots=True)
-class BodyConverged[R: BaseModel]:
-    """Every replica answered a body the predicate accepted; `bodies` is the last read
-    per replica."""
-
-    bodies: Mapping[str, R]
-
-
-@dataclass(frozen=True, slots=True)
-class BodyNeverConvergedOn[R: BaseModel]:
-    """`BodyNotConverged` labeled with the replica whose reads never satisfied the predicate."""
-
-    replica: str
-    last_result: Result[R] | None
-
-
-def await_body_converged[R: BaseModel](
-    read: BodyReader[R],
-    *,
-    predicate: Callable[[R], bool],
-    timeout: float,
-    interval: float,
-    request_timeout: float,
-    now: Callable[[], float],
-    sleep: Callable[[float], None],
-) -> Success[R] | BodyNotConverged[R]:
-    """Poll `read` until it answers a body `predicate` accepts, or `timeout` passes.
-
-    Each read's request timeout is clamped to the remaining budget, and the sleep
-    between reads to the time left, so the last read before the deadline is never
-    skipped. Clock and sleep are injected."""
-    deadline: Final = now() + timeout
-
-    def reads() -> Iterator[Result[R]]:
-        while (remaining := deadline - now()) > 0:
-            yield read(min(request_timeout, remaining))
-            sleep(min(interval, max(deadline - now(), 0.0)))
-
-    def attempts() -> Iterator[Success[R] | BodyNotConverged[R]]:
-        for result in reads():
-            if isinstance(result, Success) and predicate(result.data):
-                yield result
-                return
-            yield BodyNotConverged(last_result=result)
-
-    initial: Final[Success[R] | BodyNotConverged[R]] = BodyNotConverged(last_result=None)
-    return reduce(lambda _previous, result: result, attempts(), initial)
-
-
-def await_body_converged_everywhere[R: BaseModel](
-    readers: Mapping[str, BodyReader[R]],
-    *,
-    predicate: Callable[[R], bool],
-    timeout: float,
-    interval: float,
-    request_timeout: float,
-    now: Callable[[], float],
-    sleep: Callable[[float], None],
-) -> BodyConverged[R] | BodyNeverConvergedOn[R]:
-    """`await_body_converged` against every replica in turn, each with the full budget, so a
-    write counts as landed only once every replica serves it."""
-    def read_replica(
-        outcome: BodyConverged[R] | BodyNeverConvergedOn[R],
-        item: tuple[str, BodyReader[R]],
-    ) -> BodyConverged[R] | BodyNeverConvergedOn[R]:
-        if isinstance(outcome, BodyNeverConvergedOn):
-            return outcome
-        replica, read = item
-        match await_body_converged(
-            read,
-            predicate=predicate,
-            timeout=timeout,
-            interval=interval,
-            request_timeout=request_timeout,
-            now=now,
-            sleep=sleep,
-        ):
-            case Success(data=data):
-                return BodyConverged(bodies=MappingProxyType({**outcome.bodies, replica: data}))
-            case BodyNotConverged(last_result=last_result):
-                return BodyNeverConvergedOn(replica=replica, last_result=last_result)
-    initial: Final[BodyConverged[R] | BodyNeverConvergedOn[R]] = BodyConverged(bodies=MappingProxyType({}))
-    return reduce(read_replica, readers.items(), initial)
-
-
 def await_servable(
     list_models: Callable[[float], Result[ModelsListResponse]],
     *,
@@ -757,102 +658,6 @@ class ProxyClient:
             )
         )
 
-    def patch_model(self, model_id: str, body: ModelPatchBody) -> StoredDeployment:
-        """JSON Merge Patch the deployment `model_id` via PATCH /model/{model_id}/update:
-        a field the body omits is unchanged, one sent as null is removed from the stored
-        row, one sent with a value is set. See ModelPatchBody for how a null is sent.
-        Returns the row as stored after the write."""
-        return unwrap(
-            self.transport.patch(
-                f"/model/{model_id}/update",
-                headers=self.transport.master,
-                json=body,
-                response_type=StoredDeployment,
-            )
-        )
-
-    def read_model_back_everywhere[R: BaseModel](
-        self, path: str, response_type: type[R], *, predicate: Callable[[R], bool]
-    ) -> Mapping[str, R]:
-        """GET `path` on every replica until each answers a body `predicate` accepts,
-        polling to poll_timeout, and return the last body per replica.
-
-        Fails naming the replica that never converged, so a write that reached one
-        gateway but not the others is caught instead of passing on whichever gateway
-        the balancer answered from. Falls back to the single proxy address when no
-        replica list is configured.
-
-        `path` must be a data-plane route. The replicas are gateways, which serve only
-        the LLM surface, so a control-plane path answers on exactly one service and
-        404s on every replica in a split deployment: asking each replica for one is
-        never the question the caller means. Read those through `self.transport`
-        instead, which routes them to the control plane."""
-        if is_control_plane_path(path):
-            raise AssertionError(
-                f"read_model_back_everywhere({path!r}) asks every data-plane replica for a control-plane route. "
-                "The replicas are gateways and do not serve it; poll a data-plane path such as /v1/models "
-                "here, and read the control plane through the shared transport."
-            )
-        readers: Final = {
-            url: self._body_reader(transport, path, response_type)
-            for url, transport in self._read_back_replicas().items()
-        }
-        outcome: Final = await_body_converged_everywhere(
-            readers,
-            predicate=predicate,
-            timeout=self.poll_timeout,
-            interval=self.poll_interval,
-            request_timeout=REQUEST_TIMEOUT,
-            now=time.monotonic,
-            sleep=time.sleep,
-        )
-        match outcome:
-            case BodyConverged(bodies=bodies):
-                return bodies
-            case BodyNeverConvergedOn(replica=replica, last_result=last_result):
-                raise AssertionError(
-                    f"GET {path} on {replica} never answered the expected body within "
-                    f"{self.poll_timeout}s; last read: {last_result}"
-                )
-
-    def read_model_back[R: BaseModel](self, path: str, response_type: type[R], *, predicate: Callable[[R], bool]) -> R:
-        """GET `path` through the shared transport until the body satisfies `predicate`,
-        polling to poll_timeout, and return that body.
-
-        The counterpart to `read_model_back_everywhere` for a control-plane route such as
-        /model/info: the stored row lives in one database behind one control plane, so
-        there is a single answer to converge on rather than one per gateway."""
-        outcome: Final = await_body_converged_everywhere(
-            {CONTROL_PLANE_BASE_URL: self._body_reader(self.transport, path, response_type)},
-            predicate=predicate,
-            timeout=self.poll_timeout,
-            interval=self.poll_interval,
-            request_timeout=REQUEST_TIMEOUT,
-            now=time.monotonic,
-            sleep=time.sleep,
-        )
-        match outcome:
-            case BodyConverged(bodies=bodies):
-                return bodies[CONTROL_PLANE_BASE_URL]
-            case BodyNeverConvergedOn(last_result=last_result):
-                raise AssertionError(
-                    f"GET {path} never answered the expected body within "
-                    f"{self.poll_timeout}s; last read: {last_result}"
-                )
-
-    def _read_back_replicas(self) -> Mapping[str, Transport]:
-        return self.replicas or MappingProxyType({CONTROL_PLANE_BASE_URL: self.transport})
-
-    @staticmethod
-    def _body_reader[R: BaseModel](transport: Transport, path: str, response_type: type[R]) -> BodyReader[R]:
-        return lambda timeout: transport.get(
-            path,
-            headers=transport.master,
-            params=NoBody(),
-            response_type=response_type,
-            timeout=timeout,
-        )
-
     def delete_model(self, model_id: str) -> None:
         result = self.transport.post(
             "/model/delete",
diff --git a/tests/e2e/test_proxy_client.py b/tests/e2e/test_proxy_client.py
index cbf7f5648d4..3b84a47e3cc 100644
--- a/tests/e2e/test_proxy_client.py
+++ b/tests/e2e/test_proxy_client.py
@@ -20,12 +20,8 @@ from typing import Final, cast
 import pytest
 from e2e_config import parse_replica_urls
 from e2e_http import Result, Success
-from models import KeyInfo, KeyInfoResponse, ModelInfoEntry, ModelInfoResponse, ModelListEntry, ModelsListResponse
+from models import KeyInfo, KeyInfoResponse, ModelListEntry, ModelsListResponse
 from proxy_client import (
-    BodyReader,
-    BodyConverged,
-    BodyNeverConvergedOn,
-    await_body_converged_everywhere,
     ConvergeOutcome,
     Converged,
     EverywhereConverged,
@@ -278,54 +274,3 @@ class TestReplicasFor:
         client: Final = ProxyClient(transport=_NO_TRANSPORTS, replicas={}, control_replicas={})
         with pytest.raises(AssertionError, match="no replica is configured"):
             _ = client.replicas_for("/v1/models")
-
-
-def _info(*model_names: str) -> Success[ModelInfoResponse]:
-    entries: Final = [ModelInfoEntry(model_name=model_name) for model_name in model_names]
-    return Success(status_code=200, data=ModelInfoResponse(data=entries))
-
-
-def _reader(results: Iterable[Success[ModelInfoResponse]]) -> BodyReader[ModelInfoResponse]:
-    it: Final = iter(results)
-    return lambda _timeout: next(it)
-
-
-def _lists_model(body: ModelInfoResponse) -> bool:
-    return any(entry.model_name == MODEL for entry in body.data)
-
-
-def _read_back(
-    readers: Mapping[str, BodyReader[ModelInfoResponse]],
-) -> tuple[BodyConverged[ModelInfoResponse] | BodyNeverConvergedOn[ModelInfoResponse], FakeClock]:
-    clock: Final = FakeClock()
-    outcome: Final = await_body_converged_everywhere(
-        readers,
-        predicate=_lists_model,
-        timeout=TIMEOUT,
-        interval=INTERVAL,
-        request_timeout=5.0,
-        now=clock.now,
-        sleep=clock.sleep,
-    )
-    return outcome, clock
-
-
-class TestAwaitBodyConvergedEverywhere:
-    def test_waits_for_the_lagging_replica_and_returns_every_body(self) -> None:
-        readers: Final = {
-            "gateway-1": _reader(repeat(_info(MODEL))),
-            "gateway-2": _reader(chain(repeat(_info(), 2), repeat(_info(MODEL)))),
-        }
-        outcome, clock = _read_back(readers)
-        assert outcome == BodyConverged(bodies={"gateway-1": _info(MODEL).data, "gateway-2": _info(MODEL).data})
-        assert clock.elapsed == 2 * INTERVAL
-
-    @pytest.mark.parametrize("lagging", ["gateway-1", "gateway-2"])
-    def test_fails_naming_the_replica_that_never_converges(self, lagging: str) -> None:
-        readers: Final = {
-            "gateway-1": _reader(repeat(_info(MODEL))),
-            "gateway-2": _reader(repeat(_info(MODEL))),
-        } | {lagging: _reader(repeat(_info()))}
-        outcome, clock = _read_back(readers)
-        assert outcome == BodyNeverConvergedOn(replica=lagging, last_result=_info())
-        assert clock.elapsed >= TIMEOUT
diff --git a/tests/e2e/transport.py b/tests/e2e/transport.py
index 804e073a4a0..44fdbaa3e41 100644
--- a/tests/e2e/transport.py
+++ b/tests/e2e/transport.py
@@ -306,7 +306,6 @@ CONTROL_PLANE_PREFIXES: tuple[str, ...] = (
     "/config",
     "/guardrails",
     "/openapi.json",
-    "/public/",
 )
 
 
diff --git a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
index 1376727e296..c02f886fc31 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
@@ -3115,6 +3115,9 @@ class TestUpdateDBModelClearPricing:
     """Sending an explicit `null` for a pricing field must remove it from both
     `litellm_params` and `model_info` (SPECIAL_MODEL_INFO_PARAMS are mirrored
     between the two by Deployment.__init__).
+
+    Restricted to SPECIAL_MODEL_INFO_PARAMS so non-pricing fields (e.g. team_id)
+    cannot be cleared via this path.
     """
 
     def test_clear_input_cost_removes_from_both_blobs(self):
@@ -3190,10 +3193,10 @@ class TestUpdateDBModelClearPricing:
         assert params["input_cost_per_token"] == 0.000001
         assert params["output_cost_per_token"] == 0.000007
 
-    def test_null_on_one_field_leaves_other_fields_alone(self):
-        """A null clears only the key it names: pricing the patch never mentions and
-        the ownership key team_id stay put, so a team admin can't ungate a
-        team-scoped model through the clear path.
+    def test_null_on_non_pricing_field_does_not_clear(self):
+        """Security guard: only SPECIAL_MODEL_INFO_PARAMS can be cleared via null.
+        Privileged or unrelated model_info fields (e.g. team_id) must be unaffected
+        by the null-clearing path so a team admin can't ungate a team-scoped model.
         """
         from litellm.proxy.management_endpoints.model_management_endpoints import (
             update_db_model,
@@ -3214,6 +3217,8 @@ class TestUpdateDBModelClearPricing:
             model_info=ModelInfo(id="dep-pricing-1", team_id="team-keep-me"),
         )
 
+        # Patch sends a null for api_base (non-SPECIAL field). Must NOT clear team_id
+        # or any other non-pricing field from the merged dict.
         result = update_db_model(
             db_model=db_model,
             updated_patch=updateDeployment(
@@ -3389,171 +3394,6 @@ class TestUpdateDBModelClearPricing:
         assert info["cache_creation_input_token_cost"] == 0.000003
 
 
-_PROTECTED_MODEL_INFO_VALUES = {
-    "team_id": "team-keep-me",
-    "team_public_model_name": "team-facing-name",
-    "access_groups": ["group-a"],
-    "created_at": "2026-01-01T00:00:00+00:00",
-    "created_by": "creator",
-    "updated_at": "2026-01-02T00:00:00+00:00",
-    "updated_by": "updater",
-    "blocked": True,
-}
-
-
-def _build_db_model_with_pinned_model_info():
-    """Deployment whose stored blobs pin non-pricing keys an earlier save wrote, next to a
-    pricing override, so a clear can be checked key by key."""
-    from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo
-
-    return Deployment(
-        model_name="pinned-gpt-4o-mini",
-        litellm_params=LiteLLM_Params(
-            model="gpt-4o-mini", input_cost_per_token=0.000001, max_input_tokens=4096
-        ),
-        model_info=ModelInfo(
-            id="dep-pinned-0",
-            max_input_tokens=4096,
-            mode="chat",
-            supports_vision=True,
-            **_PROTECTED_MODEL_INFO_VALUES,
-        ),
-    )
-
-
-class TestUpdateDBModelNullClearsAnyKey:
-    """JSON Merge Patch on PATCH /model/{id}/update: a key sent as null is removed from the
-    stored blob it was sent in, whatever the key, except the identity and ownership keys,
-    whose nulls are ignored."""
-
-    def test_model_info_nulls_remove_pinned_non_pricing_keys(self):
-        from litellm.proxy.management_endpoints.model_management_endpoints import (
-            update_db_model,
-        )
-
-        result = update_db_model(
-            db_model=_build_db_model_with_pinned_model_info(),
-            updated_patch=updateDeployment.model_validate(
-                {"model_info": {"max_input_tokens": None, "mode": None}}
-            ),
-        )
-
-        info = json.loads(result["model_info"])
-        assert "max_input_tokens" not in info
-        assert "mode" not in info
-        assert info["supports_vision"] is True
-        assert info["input_cost_per_token"] == 0.000001
-
-    def test_litellm_params_null_removes_pinned_non_pricing_key(self):
-        from litellm.proxy.management_endpoints.model_management_endpoints import (
-            update_db_model,
-        )
-
-        result = update_db_model(
-            db_model=_build_db_model_with_pinned_model_info(),
-            updated_patch=updateDeployment.model_validate(
-                {"litellm_params": {"max_input_tokens": None}}
-            ),
-        )
-
-        params = json.loads(result["litellm_params"])
-        info = json.loads(result["model_info"])
-        assert "max_input_tokens" not in params
-        assert params["model"] == "gpt-4o-mini"
-        assert params["input_cost_per_token"] == 0.000001
-        assert info["max_input_tokens"] == 4096
-
-    def test_omitted_key_is_untouched_by_a_null_elsewhere(self):
-        from litellm.proxy.management_endpoints.model_management_endpoints import (
-            update_db_model,
-        )
-
-        result = update_db_model(
-            db_model=_build_db_model_with_pinned_model_info(),
-            updated_patch=updateDeployment.model_validate(
-                {"model_info": {"mode": None, "supports_vision": False}}
-            ),
-        )
-
-        info = json.loads(result["model_info"])
-        assert "mode" not in info
-        assert info["supports_vision"] is False
-        assert info["max_input_tokens"] == 4096
-
-    @pytest.mark.parametrize("field", sorted(_PROTECTED_MODEL_INFO_VALUES))
-    def test_null_on_protected_key_is_ignored(self, field):
-        from litellm.proxy.management_endpoints.model_management_endpoints import (
-            update_db_model,
-        )
-
-        result = update_db_model(
-            db_model=_build_db_model_with_pinned_model_info(),
-            updated_patch=updateDeployment.model_validate({"model_info": {field: None}}),
-        )
-
-        info = json.loads(result["model_info"])
-        assert info[field] == _PROTECTED_MODEL_INFO_VALUES[field]
-        assert info["max_input_tokens"] == 4096
-
-    def test_echoing_the_read_back_blob_preserves_every_stored_key(self):
-        """The Admin UI edit form submits the whole /model/info row back, and that read reports
-        every key the deployment never stored as an explicit null. Those nulls have to stay
-        no-ops: a write drops None before storing, so a null in the echoed blob always names a
-        key the stored row does not carry.
-        """
-        from litellm.proxy.management_endpoints.model_management_endpoints import (
-            update_db_model,
-        )
-
-        db_model = _build_db_model_with_pinned_model_info()
-        echoed = {
-            "id": "dep-pinned-0",
-            "max_input_tokens": 4096,
-            "mode": "chat",
-            "supports_vision": True,
-            "input_cost_per_token": 0.000001,
-            "team_id": "team-keep-me",
-            "base_model": None,
-            "tier": None,
-            "max_output_tokens": None,
-            "supports_function_calling": None,
-            "cache_read_input_token_cost": None,
-        }
-
-        result = update_db_model(
-            db_model=db_model,
-            updated_patch=updateDeployment.model_validate({"model_info": echoed}),
-        )
-
-        info = json.loads(result["model_info"])
-        assert info["max_input_tokens"] == 4096
-        assert info["mode"] == "chat"
-        assert info["supports_vision"] is True
-        assert info["input_cost_per_token"] == 0.000001
-        assert info["team_id"] == "team-keep-me"
-        for never_stored in ("base_model", "tier", "max_output_tokens", "supports_function_calling"):
-            assert never_stored not in info
-
-    def test_null_on_pricing_key_still_clears_both_blobs(self):
-        from litellm.proxy.management_endpoints.model_management_endpoints import (
-            update_db_model,
-        )
-
-        result = update_db_model(
-            db_model=_build_db_model_with_pinned_model_info(),
-            updated_patch=updateDeployment.model_validate(
-                {"model_info": {"input_cost_per_token": None}}
-            ),
-        )
-
-        params = json.loads(result["litellm_params"])
-        info = json.loads(result["model_info"])
-        assert "input_cost_per_token" not in params
-        assert "input_cost_per_token" not in info
-        assert params["max_input_tokens"] == 4096
-        assert info["max_input_tokens"] == 4096
-
-
 class TestGetModelInfoWithIdBlocked:
     """`ProxyConfig.get_model_info_with_id` must propagate the DB-level `blocked`
     column into the in-memory `model_info` dict so the router filter can read it."""
diff --git a/tests/test_litellm/test_router_model_cost_isolation.py b/tests/test_litellm/test_router_model_cost_isolation.py
index d22ec60e61a..30b265905f3 100644
--- a/tests/test_litellm/test_router_model_cost_isolation.py
+++ b/tests/test_litellm/test_router_model_cost_isolation.py
@@ -220,198 +220,6 @@ def test_should_store_full_pricing_under_deployment_model_id():
     assert entry["output_cost_per_token"] == 0.0
 
 
-def test_should_drop_a_price_the_deployment_no_longer_carries():
-    """Re-registering a deployment must replace its model_id entry, not merge onto it.
-
-    A merge left the old rate in the cost map after an operator cleared the override, so
-    the deployment kept billing at a price its config no longer had.
-    """
-    backend_model = "vertex_ai/gemini-2.5-flash"
-    model_id = "deployment-cleared-price"
-    original = {model_id: litellm.model_cost.get(model_id)}
-
-    try:
-        Router._register_deployment_in_model_cost(
-            model_id=model_id,
-            model_info={"input_cost_per_token": 0.005, "output_cost_per_token": 0.01},
-            model=backend_model,
-            custom_llm_provider="vertex_ai",
-        )
-        assert litellm.model_cost[model_id]["input_cost_per_token"] == 0.005
-
-        Router._register_deployment_in_model_cost(
-            model_id=model_id,
-            model_info={"mode": "chat"},
-            model=backend_model,
-            custom_llm_provider="vertex_ai",
-        )
-
-        entry = litellm.model_cost[model_id]
-        assert entry.get("input_cost_per_token") != 0.005, (
-            "the cleared override survived re-registration, so the deployment still bills at it"
-        )
-        assert entry.get("output_cost_per_token") != 0.01
-    finally:
-        _restore_model_cost_entries(original)
-
-
-def test_should_not_strip_a_builtin_entry_when_a_deployment_id_collides_with_it():
-    """Deployments are keyed into the same cost map as the built-in catalog, so a deployment
-    whose id happens to name a real model must not evict that model's entry.
-
-    Stripping it would take the pricing and capability flags every other deployment of that
-    model reads, process-wide, until the next price-map reload. Registering twice, because
-    the first registration is what would mark the entry as this deployment's own.
-    """
-    colliding_id = "gpt-4o"
-    original = {colliding_id: litellm.model_cost.get(colliding_id)}
-    builtin_max_tokens = litellm.model_cost[colliding_id]["max_tokens"]
-
-    try:
-        for _ in range(2):
-            Router._register_deployment_in_model_cost(
-                model_id=colliding_id,
-                model_info={"id": colliding_id, "db_model": True, "mode": "chat"},
-                model="gpt-4o-mini",
-                custom_llm_provider="openai",
-            )
-
-        entry = litellm.model_cost[colliding_id]
-        assert entry["max_tokens"] == builtin_max_tokens, (
-            "registering a deployment under a catalog model's name wiped that model's context window"
-        )
-        assert entry["litellm_provider"] == "openai"
-        assert entry["supports_vision"] is True
-    finally:
-        _restore_model_cost_entries(original)
-
-
-def test_should_drop_a_stale_price_even_when_the_deployment_declares_a_provider():
-    """A deployment may carry `litellm_provider` in its own model_info, which must not be
-    read as "this is a catalog entry" and stop the stale price from being dropped."""
-    model_id = "deployment-provider-tagged"
-    original = {model_id: litellm.model_cost.get(model_id)}
-
-    try:
-        Router._register_deployment_in_model_cost(
-            model_id=model_id,
-            model_info={"id": model_id, "litellm_provider": "openai", "input_cost_per_token": 0.005},
-            model="gpt-4o-mini",
-            custom_llm_provider="openai",
-        )
-        assert litellm.model_cost[model_id]["input_cost_per_token"] == 0.005
-
-        Router._register_deployment_in_model_cost(
-            model_id=model_id,
-            model_info={"id": model_id, "litellm_provider": "openai", "mode": "chat"},
-            model="gpt-4o-mini",
-            custom_llm_provider="openai",
-        )
-
-        assert litellm.model_cost[model_id].get("input_cost_per_token") != 0.005, (
-            "a deployment that declares its provider kept billing at the price it no longer carries"
-        )
-    finally:
-        _restore_model_cost_entries(original)
-
-
-def test_should_give_a_cost_map_key_back_when_the_deployment_is_deleted():
-    """Deleting a deployment releases its claim on the shared cost-map key.
-
-    Held forever, a later catalog refresh that starts publishing a model under that same
-    name would be treated as the deleted deployment's own entry and evicted.
-    """
-    from litellm.router import _DEPLOYMENT_COST_MAP_KEYS
-
-    model_id = "deployment-to-delete"
-    original = {model_id: litellm.model_cost.get(model_id)}
-    router = Router(
-        model_list=[
-            {
-                "model_name": "to-delete",
-                "litellm_params": {"model": "gpt-4o-mini", "mock_response": "ok"},
-                "model_info": {"id": model_id, "input_cost_per_token": 0.005},
-            }
-        ]
-    )
-
-    try:
-        assert model_id in _DEPLOYMENT_COST_MAP_KEYS
-
-        assert router.delete_deployment(id=model_id) is not None
-
-        assert model_id not in _DEPLOYMENT_COST_MAP_KEYS, (
-            "a deleted deployment kept its claim on the shared cost-map key"
-        )
-    finally:
-        _DEPLOYMENT_COST_MAP_KEYS.discard(model_id)
-        _restore_model_cost_entries(original)
-
-
-def test_should_keep_the_cost_map_key_while_another_router_still_serves_it():
-    """Two live routers can serve the same deployment id, and the claim is process-wide.
-
-    Releasing it when only one of them drops the deployment would put the survivor back on
-    merging, so the price it just cleared would keep billing.
-    """
-    from litellm.router import _DEPLOYMENT_COST_MAP_KEYS
-
-    model_id = "deployment-served-twice"
-    original = {model_id: litellm.model_cost.get(model_id)}
-    entry = {
-        "model_name": "served-twice",
-        "litellm_params": {"model": "gpt-4o-mini", "mock_response": "ok"},
-        "model_info": {"id": model_id, "input_cost_per_token": 0.005},
-    }
-    first = Router(model_list=[entry])
-    second = Router(model_list=[entry])
-
-    try:
-        assert model_id in _DEPLOYMENT_COST_MAP_KEYS
-
-        assert first.delete_deployment(id=model_id) is not None
-
-        assert model_id in _DEPLOYMENT_COST_MAP_KEYS, (
-            "the claim was released while another router still served the deployment"
-        )
-
-        assert second.delete_deployment(id=model_id) is not None
-        assert model_id not in _DEPLOYMENT_COST_MAP_KEYS
-    finally:
-        _DEPLOYMENT_COST_MAP_KEYS.discard(model_id)
-        _restore_model_cost_entries(original)
-
-
-def test_should_keep_the_cost_map_key_while_a_dynamically_built_router_serves_it():
-    """A router built with no model_list still serves whatever add_deployment gives it, so it
-    counts when deciding whether the shared cost-map claim can be released."""
-    from litellm.router import _DEPLOYMENT_COST_MAP_KEYS
-
-    model_id = "deployment-added-dynamically"
-    original = {model_id: litellm.model_cost.get(model_id)}
-    entry = {
-        "model_name": "added-dynamically",
-        "litellm_params": {"model": "gpt-4o-mini", "mock_response": "ok"},
-        "model_info": {"id": model_id, "input_cost_per_token": 0.005},
-    }
-    configured = Router(model_list=[entry])
-    dynamic = Router()
-    dynamic.add_deployment(deployment=Deployment(**entry))
-
-    try:
-        assert configured.delete_deployment(id=model_id) is not None
-
-        assert model_id in _DEPLOYMENT_COST_MAP_KEYS, (
-            "the claim was released while a dynamically built router still served the deployment"
-        )
-
-        assert dynamic.delete_deployment(id=model_id) is not None
-        assert model_id not in _DEPLOYMENT_COST_MAP_KEYS
-    finally:
-        _DEPLOYMENT_COST_MAP_KEYS.discard(model_id)
-        _restore_model_cost_entries(original)
-
-
 def test_should_preserve_builtin_pricing_regardless_of_deployment_order():
     """
     The built-in pricing should be preserved no matter which deployment
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 93aaf3ca58c..83b0d58f2b2 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -9064,9 +9064,8 @@ export interface paths {
          * Patch Model
          * @description PATCH Endpoint for partial model updates.
          *
-         *     JSON Merge Patch semantics over `litellm_params` and `model_info`: a key absent from the
-         *     body is unchanged, a key sent as null is removed from the stored row, and a key sent with a
-         *     value is set (identity and ownership keys such as `id` and `team_id` ignore a null).
+         *     Only updates the fields specified in the request while preserving other existing values.
+         *     Follows proper PATCH semantics by only modifying provided fields.
          *
          *     Args:
          *         model_id: The ID of the model to update

From a1588c260232dd6ed22605fdd4db24983bb1fcee Mon Sep 17 00:00:00 2001
From: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Date: Wed, 9 Sep 2026 08:05:15 -0700
Subject: [PATCH 201/223] fix(mcp): preserve stream failures across transports

---
 litellm/experimental_mcp_client/client.py     |   7 +-
 .../mcp_server/rest_endpoints.py              |  25 +-
 .../test_mcp_client.py                        | 240 ++++++++++++++++++
 .../mcp_server/test_rest_endpoints.py         |  48 ++++
 4 files changed, 313 insertions(+), 7 deletions(-)

diff --git a/litellm/experimental_mcp_client/client.py b/litellm/experimental_mcp_client/client.py
index cabcc6c03ba..5cdc4efdfef 100644
--- a/litellm/experimental_mcp_client/client.py
+++ b/litellm/experimental_mcp_client/client.py
@@ -451,7 +451,7 @@ class MCPClient:
             async def receive_message(
                 message: RequestResponder[ServerRequest, ClientResult] | ServerNotification | Exception,
             ) -> None:
-                if not isinstance(message, ValueError):
+                if not isinstance(message, (ValueError, httpx.RequestError, OSError)):
                     return
                 if not stream_error.done():
                     stream_error.set_result(message)
@@ -472,7 +472,7 @@ class MCPClient:
                 read_stream,
                 write_stream,
                 read_timeout_seconds=timedelta(seconds=self.timeout),
-                message_handler=receive_message if self.transport_type == MCPTransport.http else None,
+                message_handler=receive_message,
                 **session_kwargs,
             )
             session: Final = await session_ctx.__aenter__()
@@ -525,8 +525,7 @@ class MCPClient:
             read_timeout: Final = _as_read_timeout(e)
             if read_timeout is not None:
                 verbose_logger.warning(
-                    "MCP client timed out after %ss waiting for %s to answer; the server accepted the "
-                    "request and ended its response stream without a JSON-RPC reply",
+                    "MCP client timed out after %ss waiting for a valid MCP response from %s",
                     self.timeout,
                     self.server_url or "stdio",
                 )
diff --git a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
index c0ffeaeac62..63badc6f703 100644
--- a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
+++ b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
@@ -114,7 +114,8 @@ def _known_connection_error_message(exc: BaseException, url: str | None, timeout
         return str(exc.detail)
     if isinstance(exc, TimeoutError):
         return (
-            f"Failed to connect to MCP server: no response from {_redact_mcp_resource_url(url) or 'the server'} "
+            "Failed to connect to MCP server: no valid MCP response received from "
+            f"{_redact_mcp_resource_url(url) or 'the server'} "
             f"within {timeout_seconds:.0f}s. Check that the LiteLLM proxy can reach this URL "
             "from its network (DNS, egress rules, firewalls) and that the server answers MCP requests."
         )
@@ -131,6 +132,11 @@ def _known_connection_error_message(exc: BaseException, url: str | None, timeout
         return "Failed to connect to MCP server: the connection timed out."
     if isinstance(exc, httpx.HTTPStatusError):
         return f"Failed to connect to MCP server: it returned HTTP {exc.response.status_code}."
+    if isinstance(exc, (httpx.NetworkError, httpx.RemoteProtocolError, ConnectionError)):
+        return (
+            "Failed to connect to MCP server: the connection was interrupted. "
+            "Check the server and network connection, then retry."
+        )
     if isinstance(exc, ValueError) and str(exc).startswith("Unexpected content type:"):
         return (
             "Failed to connect to MCP server: the endpoint returned an unsupported content type. "
@@ -142,6 +148,11 @@ def _known_connection_error_message(exc: BaseException, url: str | None, timeout
             "Check the MCP endpoint URL and the server's protocol implementation."
         )
     if MCP_AVAILABLE and isinstance(exc, McpError):
+        if exc.error.code == -32000 and exc.error.message == "Connection closed":
+            return (
+                "Failed to connect to MCP server: the connection was closed before the request completed. "
+                "Check that the server stays running and returns a complete MCP response, then retry."
+            )
         if exc.error.code == 32600 and exc.error.message == "Session terminated":
             return (
                 "Failed to connect to MCP server: the MCP session was terminated. "
@@ -159,7 +170,7 @@ if MCP_AVAILABLE:
     from mcp.shared.exceptions import McpError
     from mcp.types import Tool as MCPTool
 
-    from litellm.experimental_mcp_client.client import MCPClient
+    from litellm.experimental_mcp_client.client import MCPClient, _as_read_timeout
     from litellm.llms.litellm_proxy.skills.skill_search import (
         DEFAULT_SKILL_SEARCH_TOP_K,
     )
@@ -1396,10 +1407,18 @@ if MCP_AVAILABLE:
         except (KeyboardInterrupt, SystemExit, asyncio.CancelledError):
             raise
         except BaseException as e:
+            effective_timeout: Final = (
+                min(request.timeout or MCP_CLIENT_TIMEOUT, timeout_seconds)
+                if any(
+                    isinstance(cause, McpError) and _as_read_timeout(cause) is not None
+                    for cause in iter_exception_tree(e)
+                )
+                else timeout_seconds
+            )
             return {
                 "status": "error",
                 "error": True,
-                "message": _connection_error_message(e, request.url, timeout_seconds),
+                "message": _connection_error_message(e, request.url, effective_timeout),
             }
 
     async def _preview_openapi_tools(spec_path: str) -> dict:
diff --git a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
index 90292b9b162..a1e781d17b7 100644
--- a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
+++ b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
@@ -3,6 +3,7 @@ import base64
 import json
 import os
 import sys
+from collections.abc import AsyncIterator
 from importlib import metadata
 from pathlib import Path
 from typing import Final
@@ -18,6 +19,7 @@ from pydantic import ValidationError
 from mcp.shared.message import SessionMessage
 from mcp.types import (
     LATEST_PROTOCOL_VERSION,
+    CallToolResult,
     ErrorData,
     Implementation,
     InitializeResult,
@@ -36,6 +38,7 @@ from litellm.experimental_mcp_client.client import (
     MCPClient,
     _as_read_timeout,
     _first_non_cancelled_cause,
+    _TransportContext,
     missing_streamable_http_client_error,
     strip_auth_scheme,
 )
@@ -1296,6 +1299,7 @@ def test_a_differently_cased_injected_header_cannot_shadow_the_slot() -> None:
     [
         ("text/html", b"<html>secret-page</html>", ValueError),
         ("application/json", b"secret-invalid-json", ValidationError),
+        ("application/json", b"", ValidationError),
         ("application/json", b'{"secret":"invalid-rpc"}', ValidationError),
         ("application/json", b'{"jsonrpc":"2.0","id":0,"result":{"secret":"invalid-schema"}}', ValidationError),
     ],
@@ -1446,3 +1450,239 @@ async def test_invalid_tool_list_schema_is_identified_as_an_upstream_response()
     message: Final = _connection_error_message(caught.value, client.server_url, 30)
     assert "invalid MCP response" in message
     assert "secret" not in message
+
+
+class _DiagnosticSSEStream(httpx.AsyncByteStream):
+    def __init__(self, messages: asyncio.Queue[bytes | Exception | None]) -> None:
+        self.messages = messages
+
+    async def __aiter__(self) -> AsyncIterator[bytes]:
+        yield b"event: endpoint\ndata: /messages\n\n"
+        while True:
+            message: Final = await self.messages.get()
+            if message is None:
+                return
+            if isinstance(message, Exception):
+                raise message
+            yield b"event: message\ndata: " + message + b"\n\n"
+
+
+_DIAGNOSTIC_STDIO_SERVER: Final = """
+import json, sys
+mode, failure_method = sys.argv[1:]
+for line in sys.stdin:
+    request = json.loads(line)
+    if "method" not in request or "id" not in request:
+        continue
+    if request["method"] == failure_method:
+        if mode == "bad-json":
+            print("secret-invalid-json", flush=True)
+            continue
+        if mode == "closed":
+            sys.exit(0)
+        if mode == "silent":
+            print(json.dumps({"jsonrpc": "2.0", "method": "notifications/message", "params": {"level": "info", "data": "Waiting"}}), flush=True)
+            continue
+    if request["method"] == "initialize":
+        result = {"protocolVersion": request["params"]["protocolVersion"], "capabilities": {"tools": {}, "logging": {}}, "serverInfo": {"name": "diagnostic", "version": "1"}}
+    elif request["method"] == "tools/list":
+        print(json.dumps({"jsonrpc": "2.0", "method": "notifications/message", "params": {"level": "info", "data": "Listing tools"}}), flush=True)
+        print(json.dumps({"jsonrpc": "2.0", "id": "unmatched", "result": {}}), flush=True)
+        print(json.dumps({"jsonrpc": "2.0", "id": "server-ping", "method": "ping"}), flush=True)
+        result = {"tools": [{"name": "ping", "inputSchema": {"type": "object"}}]}
+    else:
+        result = {"content": [{"type": "text", "text": "pong"}], "isError": False}
+    print(json.dumps({"jsonrpc": "2.0", "id": request["id"], "result": result}), flush=True)
+"""
+
+
+def _diagnostic_transport(transport: MCPTransport, mode: str, failure_method: str) -> _TransportContext:
+    from mcp import StdioServerParameters
+    from mcp.client.sse import sse_client
+    from mcp.client.stdio import stdio_client
+
+    if transport == MCPTransport.stdio:
+        return stdio_client(
+            StdioServerParameters(
+                command=sys.executable, args=["-u", "-c", _DIAGNOSTIC_STDIO_SERVER, mode, failure_method]
+            )
+        )
+    messages: Final[asyncio.Queue[bytes | Exception | None]] = asyncio.Queue()
+
+    async def respond(request: httpx.Request) -> httpx.Response:
+        if request.method == "GET":
+            return httpx.Response(
+                200, headers={"Content-Type": "text/event-stream"}, stream=_DiagnosticSSEStream(messages)
+            )
+        payload: Final = json.loads(request.content)
+        if "method" not in payload or "id" not in payload:
+            return httpx.Response(202)
+        if payload["method"] == failure_method and mode != "ok":
+            if mode == "bad-json":
+                await messages.put(b"secret-invalid-json")
+            elif mode == "io-error":
+                await messages.put(httpx.ReadError("secret-read-error"))
+            elif mode == "closed":
+                await messages.put(None)
+            elif mode == "silent":
+                await messages.put(
+                    b'{"jsonrpc":"2.0","method":"notifications/message","params":{"level":"info","data":"Waiting"}}'
+                )
+            return httpx.Response(202)
+        if payload["method"] == "tools/list":
+            for message in (
+                {
+                    "jsonrpc": "2.0",
+                    "method": "notifications/message",
+                    "params": {"level": "info", "data": "Listing tools"},
+                },
+                {"jsonrpc": "2.0", "id": "unmatched", "result": {}},
+                {"jsonrpc": "2.0", "id": "server-ping", "method": "ping"},
+            ):
+                await messages.put(json.dumps(message).encode())
+        result: Final = (
+            {
+                "protocolVersion": LATEST_PROTOCOL_VERSION,
+                "capabilities": {"tools": {}, "logging": {}},
+                "serverInfo": {"name": "diagnostic", "version": "1"},
+            }
+            if payload["method"] == "initialize"
+            else {"tools": [{"name": "ping", "inputSchema": {"type": "object"}}]}
+            if payload["method"] == "tools/list"
+            else {"content": [{"type": "text", "text": "pong"}], "isError": False}
+        )
+        await messages.put(json.dumps({"jsonrpc": "2.0", "id": payload["id"], "result": result}).encode())
+        return httpx.Response(202)
+
+    def factory(
+        headers: dict[str, str] | None = None,
+        timeout: httpx.Timeout | None = None,
+        auth: httpx.Auth | None = None,
+    ) -> httpx.AsyncClient:
+        return httpx.AsyncClient(transport=httpx.MockTransport(respond), headers=headers, timeout=timeout, auth=auth)
+
+    return sse_client("https://example.com/sse", httpx_client_factory=factory)
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("transport", [MCPTransport.sse, MCPTransport.stdio])
+@pytest.mark.parametrize("failure_method", ["initialize", "tools/list"])
+async def test_transport_parsing_failure_is_preserved(transport: MCPTransport, failure_method: str) -> None:
+    client: Final = MCPClient(server_url="https://example.com/sse", transport_type=transport, timeout=0.2)
+    with pytest.raises(ValidationError):
+        await asyncio.wait_for(
+            client._execute_session_operation(
+                _diagnostic_transport(transport, "bad-json", failure_method), lambda session: session.list_tools()
+            ),
+            timeout=3,
+        )
+
+
+@pytest.mark.asyncio
+async def test_sse_read_failure_is_preserved() -> None:
+    client: Final = MCPClient(server_url="https://example.com/sse", transport_type=MCPTransport.sse, timeout=0.2)
+    with pytest.raises(httpx.ReadError, match="secret-read-error"):
+        await asyncio.wait_for(
+            client._execute_session_operation(
+                _diagnostic_transport(MCPTransport.sse, "io-error", "tools/list"), lambda session: session.list_tools()
+            ),
+            timeout=3,
+        )
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("transport", [MCPTransport.sse, MCPTransport.stdio])
+@pytest.mark.parametrize("mode", ["ok", "closed", "silent"])
+async def test_transport_completion_and_normal_messages(transport: MCPTransport, mode: str) -> None:
+    from mcp import ClientSession
+    from litellm.proxy._experimental.mcp_server.rest_endpoints import _connection_error_message
+
+    logging_callback: Final = AsyncMock()
+    client: Final = MCPClient(
+        server_url="https://example.com/sse", transport_type=transport, timeout=0.2, logging_callback=logging_callback
+    )
+
+    async def operation(session: ClientSession) -> CallToolResult:
+        tools: Final = await session.list_tools()
+        assert [tool.name for tool in tools.tools] == ["ping"]
+        return await session.call_tool("ping", {})
+
+    pending: Final = client._execute_session_operation(_diagnostic_transport(transport, mode, "tools/list"), operation)
+    if mode == "ok":
+        result: Final = await asyncio.wait_for(pending, timeout=3)
+        assert result.isError is False
+        assert result.content[0].text == "pong"
+        logging_callback.assert_awaited_once_with(LoggingMessageNotificationParams(level="info", data="Listing tools"))
+    else:
+        with pytest.raises(McpError) as caught:
+            await asyncio.wait_for(pending, timeout=3)
+        if mode == "closed":
+            assert "connection was closed" in _connection_error_message(caught.value, client.server_url, 0.2)
+        else:
+            assert isinstance(_as_read_timeout(caught.value), TimeoutError)
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("transport", [MCPTransport.sse, MCPTransport.stdio])
+async def test_transport_cancellation_cleans_up_a_pending_request(transport: MCPTransport) -> None:
+    ready: Final = asyncio.Event()
+
+    async def on_log(message: LoggingMessageNotificationParams) -> None:
+        if message.data == "Waiting":
+            ready.set()
+
+    client: Final = MCPClient(
+        server_url="https://example.com/sse", transport_type=transport, timeout=30, logging_callback=on_log
+    )
+    task: Final = asyncio.create_task(
+        client._execute_session_operation(
+            _diagnostic_transport(transport, "silent", "tools/list"), lambda session: session.list_tools()
+        )
+    )
+    try:
+        await asyncio.wait_for(ready.wait(), timeout=3)
+    finally:
+        task.cancel()
+        with pytest.raises(asyncio.CancelledError):
+            await asyncio.wait_for(task, timeout=3)
+
+
+class _InterruptedHTTPBody(httpx.AsyncByteStream):
+    async def __aiter__(self) -> AsyncIterator[bytes]:
+        yield b'{"jsonrpc":'
+        raise httpx.RemoteProtocolError("secret-incomplete-response")
+
+
+@pytest.mark.asyncio
+async def test_interrupted_http_response_preserves_the_transport_failure() -> None:
+    def respond(request: httpx.Request) -> httpx.Response:
+        return httpx.Response(200, headers={"Content-Type": "application/json"}, stream=_InterruptedHTTPBody())
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client:
+        client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30)
+        with pytest.raises(httpx.RemoteProtocolError, match="secret-incomplete-response"):
+            await asyncio.wait_for(
+                client._execute_session_operation(
+                    streamable_http_client(client.server_url, http_client=http_client),
+                    lambda session: session.list_tools(),
+                ),
+                timeout=3,
+            )
+
+
+@pytest.mark.asyncio
+async def test_empty_http_event_stream_uses_the_existing_request_deadline() -> None:
+    def respond(request: httpx.Request) -> httpx.Response:
+        return httpx.Response(200, headers={"Content-Type": "text/event-stream"}, content=b"")
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client:
+        client: Final = MCPClient(server_url="https://example.com/mcp", timeout=0.2)
+        with pytest.raises(McpError) as caught:
+            await asyncio.wait_for(
+                client._execute_session_operation(
+                    streamable_http_client(client.server_url, http_client=http_client),
+                    lambda session: session.list_tools(),
+                ),
+                timeout=3,
+            )
+    assert isinstance(_as_read_timeout(caught.value), TimeoutError)
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
index 73734131130..101b02e6ffd 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
@@ -3427,6 +3427,54 @@ class TestConnectionErrorMessage:
         message = rest_endpoints._connection_error_message(exc, "https://example.com", 30.0)
         assert "503" in message
 
+    @pytest.mark.parametrize(
+        "error_type", [httpx.ReadError, httpx.WriteError, httpx.RemoteProtocolError, ConnectionResetError]
+    )
+    def test_interrupted_connection_message_is_safe(self, error_type: type[Exception]) -> None:
+        message: Final = rest_endpoints._connection_error_message(
+            error_type("secret-transport-detail"), "https://example.com/?token=secret-query", 30
+        )
+        assert "connection was interrupted" in message
+        assert "secret" not in message
+
+    def test_closed_connection_explains_incomplete_request(self) -> None:
+        from mcp import McpError
+        from mcp.types import ErrorData
+
+        message: Final = rest_endpoints._connection_error_message(
+            McpError(ErrorData(code=-32000, message="Connection closed", data="secret-data")), None, 30
+        )
+        assert "connection was closed before the request completed" in message
+        assert "secret" not in message
+
+    def test_timeout_does_not_claim_the_server_sent_nothing(self) -> None:
+        message: Final = rest_endpoints._connection_error_message(TimeoutError(), None, 30)
+        assert "no valid MCP response received" in message
+
+    @pytest.mark.asyncio
+    @pytest.mark.parametrize("sdk_timeout", [True, False])
+    async def test_timeout_message_uses_the_deadline_that_expired(self, sdk_timeout: bool) -> None:
+        from mcp import McpError
+        from mcp.types import ErrorData
+
+        async def operation(client: rest_endpoints.MCPClient) -> dict[str, object]:
+            try:
+                raise TimeoutError("secret-timeout")
+            except TimeoutError as elapsed:
+                if not sdk_timeout:
+                    raise
+                try:
+                    raise McpError(ErrorData(code=408, message="secret-sdk-timeout")) from elapsed
+                except McpError as sdk_error:
+                    raise TimeoutError() from sdk_error
+
+        payload: Final = NewMCPServerRequest(
+            server_name="timeout", url="https://example.com", auth_type=MCPAuth.none, timeout=1
+        )
+        result: Final = await rest_endpoints._execute_with_mcp_client(payload, operation, timeout_seconds=30)
+        assert ("within 1s" if sdk_timeout else "within 30s") in result["message"]
+        assert "secret" not in result["message"]
+
     def test_unknown_error_falls_back_to_generic(self):
         message = rest_endpoints._connection_error_message(RuntimeError("weird"), "https://example.com", 30.0)
         assert "weird" not in message

From 1fc1aaabdaa3542cd2d410103ee01ebc94025961 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 16:00:35 +0000
Subject: [PATCH 202/223] test(cli): drop lite --version subprocess regression

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../proxy/client/cli/test_global_options.py   | 56 -------------------
 1 file changed, 56 deletions(-)

diff --git a/tests/test_litellm/proxy/client/cli/test_global_options.py b/tests/test_litellm/proxy/client/cli/test_global_options.py
index 9ed9f91ab9f..b73d1acc6e3 100644
--- a/tests/test_litellm/proxy/client/cli/test_global_options.py
+++ b/tests/test_litellm/proxy/client/cli/test_global_options.py
@@ -1,10 +1,6 @@
 # stdlib imports
 import json
 import os
-import shutil
-import subprocess
-import threading
-from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
 from pathlib import Path
 from unittest.mock import Mock, patch
 
@@ -37,58 +33,6 @@ def test_cli_version_flag(cli_runner):
     assert "LiteLLM Proxy Server Version: 1.2.3" in result.output
 
 
-def test_lite_version_does_not_fetch_model_cost_map(tmp_path: Path) -> None:
-    lite_path = shutil.which("lite")
-    if lite_path is None:
-        pytest.skip("lite executable is unavailable")
-
-    request_log: Path = tmp_path / "requests.log"
-
-    class _CostMapHandler(BaseHTTPRequestHandler):
-        def do_GET(self) -> None:
-            with request_log.open("a", encoding="utf-8") as log_file:
-                log_file.write(f"{self.path}\n")
-            body = b'{"test-model": {"litellm_provider": "openai", "mode": "chat"}}'
-            self.send_response(200)
-            self.send_header("Content-Type", "application/json")
-            self.send_header("Content-Length", str(len(body)))
-            self.end_headers()
-            self.wfile.write(body)
-
-        def log_message(self, format: str, *args: object) -> None:
-            return
-
-    server = ThreadingHTTPServer(("127.0.0.1", 0), _CostMapHandler)
-    thread = threading.Thread(target=server.serve_forever, daemon=True)
-    thread.start()
-    try:
-        env = {key: value for key, value in os.environ.items() if key != "LITELLM_LOCAL_MODEL_COST_MAP"}
-        source_root = str(Path(__file__).resolve().parents[5])
-        env["PYTHONPATH"] = os.pathsep.join(filter(None, (source_root, env.get("PYTHONPATH"))))
-        env.update(
-            {
-                "LITELLM_MODEL_COST_MAP_URL": f"http://127.0.0.1:{server.server_port}/map.json",
-                "LITELLM_PROXY_URL": "http://127.0.0.1:9",
-            }
-        )
-        result = subprocess.run(
-            [lite_path, "--version"],
-            capture_output=True,
-            text=True,
-            timeout=120,
-            env=env,
-        )
-    finally:
-        server.shutdown()
-        server.server_close()
-        thread.join(timeout=10)
-
-    assert result.returncode == 0
-    assert "LiteLLM Proxy CLI Version" in result.stdout
-    request_count: int = request_log.read_text(encoding="utf-8").count("\n") if request_log.exists() else 0
-    assert request_count == 0
-
-
 def test_cli_source_is_ascii_only():
     """Non-ASCII output (emoji, box-drawing chars) raises UnicodeEncodeError on legacy Windows
     consoles (cp1252), so the whole CLI package must stay ASCII-only."""

From 9b6c7c8bf0e2e0e3218caa8a18b29b17bb8bf566 Mon Sep 17 00:00:00 2001
From: Mateo Wang <277851410+mateo-berri@users.noreply.github.com>
Date: Wed, 9 Sep 2026 09:17:14 -0700
Subject: [PATCH 203/223] Apply suggestion from @greptile-apps[bot]

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
---
 litellm/proxy/_experimental/mcp_server/rest_endpoints.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
index 63badc6f703..31252479445 100644
--- a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
+++ b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
@@ -1408,7 +1408,7 @@ if MCP_AVAILABLE:
             raise
         except BaseException as e:
             effective_timeout: Final = (
-                min(request.timeout or MCP_CLIENT_TIMEOUT, timeout_seconds)
+                min(request.timeout if request.timeout is not None else MCP_CLIENT_TIMEOUT, timeout_seconds)
                 if any(
                     isinstance(cause, McpError) and _as_read_timeout(cause) is not None
                     for cause in iter_exception_tree(e)

From dbf94902294cf5fa4fe5af6681fcd83ffd743231 Mon Sep 17 00:00:00 2001
From: Joshua Valluru <326636767+joshua-berri@users.noreply.github.com>
Date: Wed, 9 Sep 2026 09:44:14 -0700
Subject: [PATCH 204/223] fix(mcp): expose shared SDK timeout normalization

---
 litellm/experimental_mcp_client/client.py      |  6 +++---
 .../_experimental/mcp_server/rest_endpoints.py |  4 ++--
 .../experimental_mcp_client/test_mcp_client.py | 18 +++++++++---------
 .../mcp_server/test_rest_endpoints.py          |  7 ++++---
 4 files changed, 18 insertions(+), 17 deletions(-)

diff --git a/litellm/experimental_mcp_client/client.py b/litellm/experimental_mcp_client/client.py
index 5cdc4efdfef..8c7f4557992 100644
--- a/litellm/experimental_mcp_client/client.py
+++ b/litellm/experimental_mcp_client/client.py
@@ -150,8 +150,8 @@ _SDK_READ_TIMEOUT_CODE: Final = int(httpx.codes.REQUEST_TIMEOUT)
 otherwise carries JSON-RPC error codes."""
 
 
-def _as_read_timeout(exc: BaseException) -> TimeoutError | None:
-    """The session read timeout elapsing, re-expressed as a ``TimeoutError``, or ``None``.
+def as_mcp_read_timeout(exc: BaseException) -> TimeoutError | None:
+    """Normalize an MCP SDK read timeout for client and gateway diagnostics, or return ``None``.
 
     The SDK reports its own elapsed read timeout as ``McpError`` carrying an HTTP status code in a
     field that otherwise holds JSON-RPC error codes, and it relays an upstream's JSON-RPC error
@@ -522,7 +522,7 @@ class MCPClient:
             transport_ctx, http_client = self._create_transport_context()
             return await self._execute_session_operation(transport_ctx, operation)
         except Exception as e:
-            read_timeout: Final = _as_read_timeout(e)
+            read_timeout: Final = as_mcp_read_timeout(e)
             if read_timeout is not None:
                 verbose_logger.warning(
                     "MCP client timed out after %ss waiting for a valid MCP response from %s",
diff --git a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
index 31252479445..5b74caee3a2 100644
--- a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
+++ b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py
@@ -170,7 +170,7 @@ if MCP_AVAILABLE:
     from mcp.shared.exceptions import McpError
     from mcp.types import Tool as MCPTool
 
-    from litellm.experimental_mcp_client.client import MCPClient, _as_read_timeout
+    from litellm.experimental_mcp_client.client import MCPClient, as_mcp_read_timeout
     from litellm.llms.litellm_proxy.skills.skill_search import (
         DEFAULT_SKILL_SEARCH_TOP_K,
     )
@@ -1410,7 +1410,7 @@ if MCP_AVAILABLE:
             effective_timeout: Final = (
                 min(request.timeout if request.timeout is not None else MCP_CLIENT_TIMEOUT, timeout_seconds)
                 if any(
-                    isinstance(cause, McpError) and _as_read_timeout(cause) is not None
+                    isinstance(cause, McpError) and as_mcp_read_timeout(cause) is not None
                     for cause in iter_exception_tree(e)
                 )
                 else timeout_seconds
diff --git a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
index a1e781d17b7..b07e5876e8b 100644
--- a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
+++ b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py
@@ -36,9 +36,9 @@ import litellm.experimental_mcp_client.client as mcp_client_module
 from litellm.experimental_mcp_client.client import (
     MCP_STREAMABLE_HTTP_REQUIREMENT,
     MCPClient,
-    _as_read_timeout,
     _first_non_cancelled_cause,
     _TransportContext,
+    as_mcp_read_timeout,
     missing_streamable_http_client_error,
     strip_auth_scheme,
 )
@@ -867,25 +867,25 @@ def _raise_mcp_error_while_handling_a_timeout(code: int, message: str) -> McpErr
         return raised
 
 
-def test_as_read_timeout_separates_the_sdk_timeout_from_a_relayed_upstream_error():
+def test_as_mcp_read_timeout_separates_the_sdk_timeout_from_a_relayed_upstream_error():
     """Neither signal alone is enough. The code alone cannot separate the SDK's own timeout from an
     upstream JSON-RPC error that happens to use 408, and the context chain alone cannot separate it
     from any other relayed error that surfaces while a timeout is being handled, so both must hold.
     """
     timeout_code = int(httpx.codes.REQUEST_TIMEOUT)
 
-    translated = _as_read_timeout(_raise_mcp_error_while_handling_a_timeout(timeout_code, "Timed out while waiting"))
+    translated = as_mcp_read_timeout(_raise_mcp_error_while_handling_a_timeout(timeout_code, "Timed out while waiting"))
     assert isinstance(translated, TimeoutError)
     assert str(translated) == "Timed out while waiting"
 
     relayed_408 = McpError(ErrorData(code=timeout_code, message="upstream said 408"))
-    assert _as_read_timeout(relayed_408) is None, "an upstream 408 with no elapsed timeout is not our timeout"
+    assert as_mcp_read_timeout(relayed_408) is None, "an upstream 408 with no elapsed timeout is not our timeout"
 
     relayed_other = _raise_mcp_error_while_handling_a_timeout(-32603, "upstream internal error")
-    assert _as_read_timeout(relayed_other) is None, "a non-timeout code is not our timeout, whatever the chain"
+    assert as_mcp_read_timeout(relayed_other) is None, "a non-timeout code is not our timeout, whatever the chain"
 
-    assert _as_read_timeout(McpError(ErrorData(code=-32603, message="boom"))) is None
-    assert _as_read_timeout(RuntimeError("not an McpError")) is None
+    assert as_mcp_read_timeout(McpError(ErrorData(code=-32603, message="boom"))) is None
+    assert as_mcp_read_timeout(RuntimeError("not an McpError")) is None
 
 
 @pytest.mark.asyncio
@@ -1619,7 +1619,7 @@ async def test_transport_completion_and_normal_messages(transport: MCPTransport,
         if mode == "closed":
             assert "connection was closed" in _connection_error_message(caught.value, client.server_url, 0.2)
         else:
-            assert isinstance(_as_read_timeout(caught.value), TimeoutError)
+            assert isinstance(as_mcp_read_timeout(caught.value), TimeoutError)
 
 
 @pytest.mark.asyncio
@@ -1685,4 +1685,4 @@ async def test_empty_http_event_stream_uses_the_existing_request_deadline() -> N
                 ),
                 timeout=3,
             )
-    assert isinstance(_as_read_timeout(caught.value), TimeoutError)
+    assert isinstance(as_mcp_read_timeout(caught.value), TimeoutError)
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
index 101b02e6ffd..3487f634251 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py
@@ -3453,7 +3453,8 @@ class TestConnectionErrorMessage:
 
     @pytest.mark.asyncio
     @pytest.mark.parametrize("sdk_timeout", [True, False])
-    async def test_timeout_message_uses_the_deadline_that_expired(self, sdk_timeout: bool) -> None:
+    @pytest.mark.parametrize("read_timeout", [0, 1])
+    async def test_timeout_message_uses_the_deadline_that_expired(self, sdk_timeout: bool, read_timeout: int) -> None:
         from mcp import McpError
         from mcp.types import ErrorData
 
@@ -3469,10 +3470,10 @@ class TestConnectionErrorMessage:
                     raise TimeoutError() from sdk_error
 
         payload: Final = NewMCPServerRequest(
-            server_name="timeout", url="https://example.com", auth_type=MCPAuth.none, timeout=1
+            server_name="timeout", url="https://example.com", auth_type=MCPAuth.none, timeout=read_timeout
         )
         result: Final = await rest_endpoints._execute_with_mcp_client(payload, operation, timeout_seconds=30)
-        assert ("within 1s" if sdk_timeout else "within 30s") in result["message"]
+        assert (f"within {read_timeout}s" if sdk_timeout else "within 30s") in result["message"]
         assert "secret" not in result["message"]
 
     def test_unknown_error_falls_back_to_generic(self):

From 1183b2abc6645a92f9a852daa7843662b6fa6f20 Mon Sep 17 00:00:00 2001
From: yujonglee <yujong@berri.ai>
Date: Wed, 9 Sep 2026 09:46:37 -0700
Subject: [PATCH 205/223] fix(integrations): pass original request object to
 post-call guardrail hooks (#40414)

---
 litellm/integrations/custom_guardrail.py      | 30 ++++---
 .../integrations/test_custom_guardrail.py     | 90 ++++++++++++++++++-
 2 files changed, 106 insertions(+), 14 deletions(-)

diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py
index 37d6a7e793d..77bf4820a1a 100644
--- a/litellm/integrations/custom_guardrail.py
+++ b/litellm/integrations/custom_guardrail.py
@@ -850,20 +850,24 @@ class CustomGuardrail(CustomLogger):
         if self.should_run_guardrail(data=request_data, event_type=GuardrailEventHooks.post_call) is not True:
             return None
 
-        # CHECK IF GUARDRAIL REJECTS THE REQUEST
         target: Final = self._deployment_hook_target()
-        hook_request_data: Final = {**request_data, "guardrail_to_apply": self} if target is not self else request_data
-        result: Final = await target.async_post_call_success_hook(
-            user_api_key_dict=UserAPIKeyAuth(
-                user_id=request_data.get("user_api_key_user_id"),
-                team_id=request_data.get("user_api_key_team_id"),
-                end_user_id=request_data.get("user_api_key_end_user_id"),
-                api_key=request_data.get("user_api_key_hash"),
-                request_route=request_data.get("user_api_key_request_route"),
-            ),
-            data=hook_request_data,
-            response=response,
-        )
+        try:
+            if target is not self:
+                request_data["guardrail_to_apply"] = self  # rebind-ok: dispatch consumes this key
+            result: Final = await target.async_post_call_success_hook(
+                user_api_key_dict=UserAPIKeyAuth(
+                    user_id=request_data.get("user_api_key_user_id"),
+                    team_id=request_data.get("user_api_key_team_id"),
+                    end_user_id=request_data.get("user_api_key_end_user_id"),
+                    api_key=request_data.get("user_api_key_hash"),
+                    request_route=request_data.get("user_api_key_request_route"),
+                ),
+                data=request_data,
+                response=response,
+            )
+        finally:
+            if target is not self:
+                request_data.pop("guardrail_to_apply", None)
 
         if not self._is_valid_response_type(result):
             return None
diff --git a/tests/test_litellm/integrations/test_custom_guardrail.py b/tests/test_litellm/integrations/test_custom_guardrail.py
index cd8d609cf71..ddc8439a83a 100644
--- a/tests/test_litellm/integrations/test_custom_guardrail.py
+++ b/tests/test_litellm/integrations/test_custom_guardrail.py
@@ -1842,12 +1842,14 @@ class _ApplyStyleGuardrail(CustomGuardrail):
         self.block = block
         self.apply_called = False
         self.seen_texts = None
+        self.seen_request_data = None
 
     async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
         from fastapi import HTTPException
 
         self.apply_called = True
         self.seen_texts = inputs.get("texts")
+        self.seen_request_data = request_data
         if self.block:
             raise HTTPException(status_code=400, detail={"error": "Violated moderation policy"})
         return inputs
@@ -2646,6 +2648,91 @@ class TestCustomGuardrailPostCallSuccessDeploymentHook:
     which starved every later callback in litellm.callbacks (notably the lazily-appended
     VectorStorePreCallHook that attaches provider_specific_fields["search_results"])."""
 
+    @pytest.mark.asyncio
+    async def test_apply_guardrail_retains_request_identity(self) -> None:
+        from litellm.types.guardrails import GuardrailEventHooks
+        from litellm.types.utils import Choices, Message, ModelResponse
+
+        guardrail: Final = _ApplyStyleGuardrail(block=False)
+        guardrail.event_hook = GuardrailEventHooks.post_call
+        request_data: Final = {"guardrails": ["apply-style-guardrail"]}
+        response: Final = ModelResponse(choices=[Choices(message=Message(content="review me"))])
+
+        await guardrail.async_post_call_success_deployment_hook(
+            request_data=request_data, response=response, call_type=CallTypes.acompletion
+        )
+
+        assert guardrail.seen_request_data is request_data
+        assert guardrail.seen_texts == ["review me"]
+        assert "guardrail_to_apply" not in request_data
+
+    @pytest.mark.asyncio
+    @pytest.mark.parametrize("call_type", (None, CallTypes.acompletion))
+    async def test_apply_guardrail_masks_response_and_records_metadata(self, call_type: CallTypes | None) -> None:
+        from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.content_filter import (
+            ContentFilterGuardrail,
+        )
+        from litellm.types.guardrails import BlockedWord, ContentFilterAction, GuardrailEventHooks
+        from litellm.types.utils import Choices, Message, ModelResponse
+
+        guardrail: Final = ContentFilterGuardrail(
+            guardrail_name="response-filter",
+            event_hook=GuardrailEventHooks.post_call,
+            blocked_words=[BlockedWord(keyword="secret", action=ContentFilterAction.MASK)],
+        )
+        request_data: Final = {"guardrails": ["response-filter"]}
+        response: Final = ModelResponse(choices=[Choices(message=Message(content="a secret"))])
+
+        result: Final = await guardrail.async_post_call_success_deployment_hook(
+            request_data=request_data, response=response, call_type=call_type
+        )
+
+        assert isinstance(result, ModelResponse)
+        assert result.choices[0].message.content == f"a {guardrail.keyword_redaction_tag}"
+        entries: Final = _guardrail_entries(request_data)
+        assert len(entries) == 1
+        assert entries[0]["guardrail_name"] == "response-filter"
+        assert entries[0]["guardrail_mode"] == "post_call"
+        assert "guardrail_to_apply" not in request_data
+
+    @pytest.mark.asyncio
+    @pytest.mark.parametrize("error_type", (None, RuntimeError, asyncio.CancelledError))
+    async def test_dispatch_cleans_up_request_on_every_exit(self, error_type: type[BaseException] | None) -> None:
+        from contextlib import nullcontext
+
+        from litellm.integrations.custom_logger import CustomLogger
+        from litellm.types.utils import LLMResponseTypes, ModelResponse
+
+        error: Final = error_type("dispatch interrupted") if error_type is not None else None
+
+        class Dispatch(CustomLogger):
+            request_data: dict[str, object] | None = None
+
+            async def async_post_call_success_hook(
+                self, data: dict[str, object], user_api_key_dict: UserAPIKeyAuth, response: LLMResponseTypes
+            ) -> LLMResponseTypes:
+                self.request_data = data
+                if error is not None:
+                    raise error
+                return response
+
+        dispatch: Final = Dispatch()
+
+        class Guardrail(_ApplyStyleGuardrail):
+            def _deployment_hook_target(self) -> CustomLogger:
+                return dispatch
+
+        guardrail: Final = Guardrail(block=False)
+        guardrail.event_hook = GuardrailEventHooks.post_call
+        request_data: Final = {"guardrails": ["apply-style-guardrail"]}
+        with pytest.raises(error_type) if error_type is not None else nullcontext():
+            await guardrail.async_post_call_success_deployment_hook(
+                request_data=request_data, response=ModelResponse(), call_type=CallTypes.acompletion
+            )
+
+        assert dispatch.request_data is request_data
+        assert "guardrail_to_apply" not in request_data
+
     @pytest.mark.asyncio
     async def test_returns_none_when_request_has_no_guardrails(self):
         from litellm.types.utils import ModelResponse
@@ -2740,4 +2827,5 @@ class TestCustomGuardrailPostCallSuccessDeploymentHook:
 
         assert result is response
         assert response.choices[0].message.content == "filtered response"
-        assert request_data == {"guardrails": ["test-guardrail"]}
+        assert "guardrail_to_apply" not in request_data
+        assert len(_guardrail_entries(request_data)) == 1

From 36f3ca95d8bdb6b03ab4632982cdc7c0cef99c6f Mon Sep 17 00:00:00 2001
From: ryan-crabbe-berri <ryan@berri.ai>
Date: Wed, 9 Sep 2026 09:57:38 -0700
Subject: [PATCH 206/223] fix(proxy): report /cost/estimate rates from the call
 that billed them

The estimate looked the reported per-token rates up a second time, with the
provider this endpoint resolved rather than the one completion_cost infers.
The provider decides whether a token tier threshold is inclusive, so an
unrouted xai model sitting exactly on 200k billed at the tier rate and
reported the base rate, half of it.

completion_cost now hands back the rates its own lines were billed at, and
the endpoint reports those.

Claude-Session: https://claude.ai/code/session_01RLKy5DMi3XCBUJ37WzfNi1
---
 litellm/cost_calculator.py                    |  6 ++
 litellm/litellm_core_utils/litellm_logging.py |  5 ++
 .../litellm_core_utils/llm_cost_calc/utils.py | 60 ++++++++++---------
 .../cost_tracking_settings.py                 | 29 ++++-----
 .../llm_cost_calc/test_llm_cost_calc_utils.py | 52 +++++++++++++---
 .../test_cost_tracking_settings.py            | 39 ++++++++++++
 tests/test_litellm/test_cost_calculator.py    | 56 +++++++++++++++++
 7 files changed, 195 insertions(+), 52 deletions(-)

diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index a1181ee4124..b4be023540f 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -25,6 +25,7 @@ from litellm.litellm_core_utils.llm_cost_calc.usage_object_transformation import
     TranscriptionUsageObjectTransformation,
 )
 from litellm.litellm_core_utils.llm_cost_calc.utils import (
+    BilledTokenRates,
     CostCalculatorUtils,
     _generic_cost_per_character,
     _get_regional_uplift_multiplier,
@@ -1122,6 +1123,7 @@ def _store_cost_breakdown_in_logging_obj(
     service_tier: str | None = None,
     data_residency: str | None = None,
     vertex_location: str | None = None,
+    billed_token_rates: BilledTokenRates | None = None,
 ) -> None:
     """
     Helper function to store cost breakdown in the logging object.
@@ -1166,6 +1168,7 @@ def _store_cost_breakdown_in_logging_obj(
             service_tier=service_tier,
             data_residency=data_residency,
             vertex_location=vertex_location,
+            billed_token_rates=billed_token_rates,
         )
 
     except Exception as breakdown_error:
@@ -1735,6 +1738,7 @@ def completion_cost(
                     _reasoning_cost: float | None = None
                     _cache_read_cost: float | None = None
                     _cache_creation_cost: float | None = None
+                    _billed_token_rates: BilledTokenRates | None = None
                     if cost_per_token_usage_object is not None and model:
                         _breakdown_provider: str | None = (
                             custom_llm_provider if isinstance(custom_llm_provider, str) else None
@@ -1751,6 +1755,7 @@ def completion_cost(
                         _reasoning_cost = _token_type_breakdown.reasoning_cost
                         _cache_read_cost = _token_type_breakdown.cache_read_cost
                         _cache_creation_cost = _token_type_breakdown.cache_creation_cost
+                        _billed_token_rates = _token_type_breakdown.rates
                     _store_cost_breakdown_in_logging_obj(
                         litellm_logging_obj=litellm_logging_obj,
                         prompt_tokens_cost_usd_dollar=prompt_tokens_cost_usd_dollar,
@@ -1770,6 +1775,7 @@ def completion_cost(
                         service_tier=service_tier,
                         data_residency=data_residency,
                         vertex_location=vertex_location,
+                        billed_token_rates=_billed_token_rates,
                     )
 
                 return _final_cost
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index ca2cca5360f..a9f3c0e9325 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -201,6 +201,7 @@ if TYPE_CHECKING:
     from mcp.types import EmbeddedResource, ImageContent, TextContent
 
     from litellm.integrations.otel.logger import OpenTelemetryV2
+    from litellm.litellm_core_utils.llm_cost_calc.utils import BilledTokenRates
     from litellm.llms.base_llm.passthrough.transformation import BasePassthroughConfig
 try:
     from litellm_enterprise.enterprise_callbacks.callback_controls import (
@@ -581,6 +582,7 @@ class Logging(LiteLLMLoggingBaseClass):
 
         # Initialize cost breakdown field
         self.cost_breakdown: CostBreakdown | None = None
+        self.billed_token_rates: BilledTokenRates | None = None
 
         # Init Caching related details
         self.caching_details: CachingDetails | None = None
@@ -1585,6 +1587,7 @@ class Logging(LiteLLMLoggingBaseClass):
         service_tier: str | None = None,
         data_residency: str | None = None,
         vertex_location: str | None = None,
+        billed_token_rates: "BilledTokenRates | None" = None,
     ) -> None:
         """
         Helper method to store cost breakdown in the logging object.
@@ -1604,8 +1607,10 @@ class Logging(LiteLLMLoggingBaseClass):
             service_tier: Tier the costs above were priced on, already resolved
             data_residency: Region uplift the costs above were priced on, already resolved
             vertex_location: Vertex AI location the costs above were priced on, already resolved
+            billed_token_rates: Per-token rates the costs above were billed at, already resolved
         """
 
+        self.billed_token_rates = billed_token_rates
         self.cost_breakdown = CostBreakdown(
             input_cost=input_cost,
             output_cost=output_cost,
diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index e2168528e6b..42f88bbb425 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -1302,34 +1302,6 @@ def _coerce_token_count(value: object) -> int:
     return value if isinstance(value, int) and value > 0 else 0
 
 
-@dataclass(frozen=True, slots=True)
-class TokenTypeCostBreakdown:
-    reasoning_cost: float
-    cache_read_cost: float
-    cache_creation_cost: float
-
-
-def _reasoning_token_count(usage: Usage) -> int:
-    parsed: Final = (
-        parse_completion_tokens_details(usage)["reasoning_tokens"] if usage.completion_tokens_details is not None else 0
-    )
-    return parsed or _coerce_token_count(getattr(usage, "reasoning_tokens", 0))
-
-
-def _cache_token_counts(usage: Usage) -> tuple[int, int, CacheCreationTokenDetails | None]:
-    """(cache read tokens, cache creation tokens, cache creation details): read from prompt_tokens_details
-    first, then the private top-level counters the Usage constructor mirrors cache tokens onto for
-    providers/callers that bypass the details."""
-    parsed: Final = parse_prompt_tokens_details(usage) if usage.prompt_tokens_details is not None else None
-    parsed_read: Final = parsed["cache_hit_tokens"] if parsed is not None else 0
-    parsed_creation: Final = parsed["cache_creation_tokens"] if parsed is not None else 0
-    return (
-        parsed_read or _coerce_token_count(getattr(usage, "_cache_read_input_tokens", 0)),
-        parsed_creation or _coerce_token_count(getattr(usage, "_cache_creation_input_tokens", 0)),
-        parsed["cache_creation_token_details"] if parsed is not None else None,
-    )
-
-
 @dataclass(frozen=True, slots=True)
 class BilledTokenRates:
     """Per-token rates one request's usage bills at, after token tiers, off-peak windows and the
@@ -1355,6 +1327,37 @@ class BilledTokenRates:
         )
 
 
+@dataclass(frozen=True, slots=True)
+class TokenTypeCostBreakdown:
+    reasoning_cost: float
+    cache_read_cost: float
+    cache_creation_cost: float
+    rates: BilledTokenRates | None = None
+    """Rates these lines were billed at, so a caller reporting both cannot resolve them a second,
+    differently-argued way. None when the model's pricing could not be resolved."""
+
+
+def _reasoning_token_count(usage: Usage) -> int:
+    parsed: Final = (
+        parse_completion_tokens_details(usage)["reasoning_tokens"] if usage.completion_tokens_details is not None else 0
+    )
+    return parsed or _coerce_token_count(getattr(usage, "reasoning_tokens", 0))
+
+
+def _cache_token_counts(usage: Usage) -> tuple[int, int, CacheCreationTokenDetails | None]:
+    """(cache read tokens, cache creation tokens, cache creation details): read from prompt_tokens_details
+    first, then the private top-level counters the Usage constructor mirrors cache tokens onto for
+    providers/callers that bypass the details."""
+    parsed: Final = parse_prompt_tokens_details(usage) if usage.prompt_tokens_details is not None else None
+    parsed_read: Final = parsed["cache_hit_tokens"] if parsed is not None else 0
+    parsed_creation: Final = parsed["cache_creation_tokens"] if parsed is not None else 0
+    return (
+        parsed_read or _coerce_token_count(getattr(usage, "_cache_read_input_tokens", 0)),
+        parsed_creation or _coerce_token_count(getattr(usage, "_cache_creation_input_tokens", 0)),
+        parsed["cache_creation_token_details"] if parsed is not None else None,
+    )
+
+
 def _custom_pricing_rates(custom_cost_per_token: CostPerToken) -> BilledTokenRates:
     """Flat custom pricing has no tiers, uplifts or reasoning rate: cache tokens bill at the configured
     cache rates (else the input rate) and reasoning at the output rate, as _cost_per_token_custom_pricing_helper does."""
@@ -1497,6 +1500,7 @@ def get_token_type_cost_breakdown(
         reasoning_cost=float(_reasoning_token_count(usage)) * rates.output_cost_per_reasoning_token,
         cache_read_cost=float(cache_read_tokens) * rates.cache_read_input_token_cost,
         cache_creation_cost=cache_creation_cost,
+        rates=rates,
     )
 
 
diff --git a/litellm/proxy/management_endpoints/cost_tracking_settings.py b/litellm/proxy/management_endpoints/cost_tracking_settings.py
index 1faa66584d5..493f75008c3 100644
--- a/litellm/proxy/management_endpoints/cost_tracking_settings.py
+++ b/litellm/proxy/management_endpoints/cost_tracking_settings.py
@@ -21,7 +21,6 @@ import litellm
 from litellm._internal_context import current_billing_time, pinned_billing_time
 from litellm._logging import verbose_proxy_logger
 from litellm.cost_calculator import completion_cost
-from litellm.litellm_core_utils.llm_cost_calc.utils import get_billed_token_rates
 from litellm.proxy._types import (
     CommonProxyErrors,
     CostEstimateRequest,
@@ -85,9 +84,9 @@ def _extract_custom_pricing(
     )
 
 
-def _lookup_model_info(model: str) -> ModelInfo | None:
+def _lookup_model_info(model: str, custom_llm_provider: str | None = None) -> ModelInfo | None:
     try:
-        return litellm.get_model_info(model=model)
+        return litellm.get_model_info(model=model, custom_llm_provider=custom_llm_provider)
     except Exception:
         return None
 
@@ -122,7 +121,7 @@ def _resolve_model_for_cost_lookup(model: str) -> ResolvedCostModel:
                 if resolved_model:
                     verbose_proxy_logger.debug("Resolved model '%s' to '%s' from router", model, resolved_model)
                     custom_cost_per_token: Final = _extract_custom_pricing(
-                        litellm_params, model_info, _lookup_model_info(str(resolved_model))
+                        litellm_params, model_info, _lookup_model_info(str(resolved_model), provider)
                     )
                     return ResolvedCostModel(str(resolved_model), provider, custom_cost_per_token)
         except Exception as e:
@@ -632,10 +631,9 @@ async def estimate_cost(
         function_id="cost-estimate",
     )
 
-    # The totals, the per-token-type lines and the reported rates each resolve pricing on their
-    # own path. Pinning one moment keeps an off-peak window that opens mid-quote from splitting them.
-    billed_at: Final = current_billing_time()
-    with pinned_billing_time(billed_at):
+    # Pinning one moment keeps an off-peak window that opens mid-quote from pricing the totals on
+    # one side of it and the reported rates on the other.
+    with pinned_billing_time(current_billing_time()):
         # Use completion_cost which handles all the logic including margins/discounts
         try:
             cost_per_request: Final = completion_cost(
@@ -653,19 +651,16 @@ async def estimate_cost(
                 },
             )
 
-        rates: Final = get_billed_token_rates(
-            model=resolved_model,
-            custom_llm_provider=resolved_provider,
-            usage=usage,
-            custom_cost_per_token=resolved.custom_cost_per_token,
-            current_time=billed_at,
-        )
-
+    # The rates come back from the pricing call itself rather than a second lookup, so they are the
+    # ones the cost lines above billed at even when completion_cost infers a provider this endpoint
+    # never resolved (an unrouted "xai/grok-4" prices on xai's inclusive tier thresholds; a lookup
+    # here without that provider would report the sub-200k rate for a line billed above it).
+    rates: Final = litellm_logging_obj.billed_token_rates
     per_request: Final = _cost_lines(cost_per_request, litellm_logging_obj.cost_breakdown)
     daily: Final = per_request.times(request.num_requests_per_day)
     monthly: Final = per_request.times(request.num_requests_per_month)
 
-    model_info: Final = _lookup_model_info(resolved_model)
+    model_info: Final = _lookup_model_info(resolved_model, resolved_provider)
     mapped_provider: Final = model_info.get("litellm_provider") if model_info is not None else None
     custom_llm_provider: Final = mapped_provider if mapped_provider is not None else resolved_provider
 
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
index 90178428018..5a19ed0277a 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
@@ -33,7 +33,6 @@ from litellm.litellm_core_utils.llm_cost_calc.utils import (
     CostCalculatorUtils,
     PromptTokensDetailsResult,
     TokenRates,
-    TokenTypeCostBreakdown,
     _calculate_input_cost,
     _get_token_base_cost,
     _is_off_peak,
@@ -4023,6 +4022,49 @@ def test_a_pinned_billing_time_prices_the_totals_and_the_reported_rates_at_one_m
     assert peak_completion_cost == pytest.approx(500 * peak_rates.output_cost_per_token)
 
 
+def test_the_token_type_breakdown_carries_the_rates_it_billed_at(monkeypatch):
+    """Callers that report both the lines and the rates read the rates off the breakdown rather than
+    resolving them a second time, so the breakdown has to hand back exactly what it billed at."""
+    monkeypatch.setitem(
+        litellm.model_cost,
+        "xai/tiered-model",
+        {
+            "input_cost_per_token": 3e-6,
+            "output_cost_per_token": 15e-6,
+            "cache_read_input_token_cost": 3e-7,
+            "input_cost_per_token_above_200k_tokens": 6e-6,
+            "output_cost_per_token_above_200k_tokens": 3e-5,
+            "cache_read_input_token_cost_above_200k_tokens": 6e-7,
+            "litellm_provider": "xai",
+            "mode": "chat",
+        },
+    )
+    usage = Usage(
+        prompt_tokens=200_000,
+        completion_tokens=1_000,
+        total_tokens=201_000,
+        prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=100_000),
+    )
+
+    breakdown = get_token_type_cost_breakdown(model="xai/tiered-model", custom_llm_provider="xai", usage=usage)
+
+    assert breakdown.rates == get_billed_token_rates(
+        model="xai/tiered-model", custom_llm_provider="xai", usage=usage
+    )
+    assert breakdown.rates.cache_read_input_token_cost == pytest.approx(6e-7)
+    assert breakdown.cache_read_cost == pytest.approx(100_000 * breakdown.rates.cache_read_input_token_cost)
+
+
+def test_the_token_type_breakdown_reports_no_rates_for_an_unpriced_model():
+    usage = Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15)
+
+    breakdown = get_token_type_cost_breakdown(
+        model="no-such-model-anywhere", custom_llm_provider="openai", usage=usage
+    )
+
+    assert breakdown.rates is None
+
+
 def test_billed_token_rates_are_none_for_an_unpriced_model():
     usage = Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15)
 
@@ -4036,9 +4078,7 @@ def test_token_type_cost_breakdown_zero_without_special_tokens(_local_model_cost
         model="gpt-4o", custom_llm_provider="openai", usage=usage
     )
 
-    assert breakdown == TokenTypeCostBreakdown(
-        reasoning_cost=0.0, cache_read_cost=0.0, cache_creation_cost=0.0
-    )
+    assert (breakdown.reasoning_cost, breakdown.cache_read_cost, breakdown.cache_creation_cost) == (0.0, 0.0, 0.0)
 
 
 @pytest.mark.parametrize(
@@ -4110,9 +4150,7 @@ def test_token_type_cost_breakdown_handles_unknown_model_gracefully():
             completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=5),
         ),
     )
-    assert breakdown == TokenTypeCostBreakdown(
-        reasoning_cost=0.0, cache_read_cost=0.0, cache_creation_cost=0.0
-    )
+    assert (breakdown.reasoning_cost, breakdown.cache_read_cost, breakdown.cache_creation_cost) == (0.0, 0.0, 0.0)
 
 
 def test_token_type_cost_breakdown_applies_regional_uplift(_local_model_cost_map):
diff --git a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
index e9485f3a044..7ece35ceedf 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py
@@ -1139,6 +1139,45 @@ class TestEstimateCostCacheAndReasoningTokens:
         assert response.output_cost_per_request == pytest.approx(OUTPUT_TOKENS * response.output_cost_per_token)
 
 
+    @pytest.mark.asyncio
+    async def test_an_unrouted_model_reports_the_rates_of_the_provider_the_calculator_inferred(self, monkeypatch):
+        """The cost calculator infers a provider this endpoint never resolved, and the provider decides
+        whether a tier threshold is inclusive. xai bills a request sitting exactly on the 200k threshold
+        at the tier rate, so the reported rates have to be the tier's rather than the sub-tier base."""
+        an_xai_model = "xai/tiered-model"
+        monkeypatch.setitem(
+            litellm.model_cost,
+            an_xai_model,
+            {
+                "input_cost_per_token": 3e-6,
+                "output_cost_per_token": 15e-6,
+                "cache_read_input_token_cost": 3e-7,
+                "input_cost_per_token_above_200k_tokens": 6e-6,
+                "output_cost_per_token_above_200k_tokens": 3e-5,
+                "cache_read_input_token_cost_above_200k_tokens": 6e-7,
+                "litellm_provider": "xai",
+                "mode": "chat",
+            },
+        )
+
+        response = await _estimate(
+            None,
+            model=an_xai_model,
+            input_tokens=200_000,
+            cache_read_input_tokens=100_000,
+            output_tokens=1_000,
+        )
+
+        assert response.input_cost_per_token == pytest.approx(6e-6)
+        assert response.output_cost_per_token == pytest.approx(3e-5)
+        assert response.cache_read_input_token_cost == pytest.approx(6e-7)
+        assert response.cache_read_cost_per_request == pytest.approx(100_000 * response.cache_read_input_token_cost)
+        assert response.input_cost_per_request == pytest.approx(
+            100_000 * response.input_cost_per_token + response.cache_read_cost_per_request
+        )
+        assert response.output_cost_per_request == pytest.approx(1_000 * response.output_cost_per_token)
+
+
 class TestCostEstimateRequestTokenSubsets:
     def test_cache_tokens_beyond_the_input_tokens_are_rejected(self):
         with pytest.raises(ValidationError, match="cannot exceed input_tokens"):
diff --git a/tests/test_litellm/test_cost_calculator.py b/tests/test_litellm/test_cost_calculator.py
index 910587d3dc5..8f8a7640c08 100644
--- a/tests/test_litellm/test_cost_calculator.py
+++ b/tests/test_litellm/test_cost_calculator.py
@@ -3736,6 +3736,62 @@ def test_completion_cost_logs_reasoning_and_cache_breakdown(_local_model_cost_ma
     assert logging_obj.cost_breakdown["cache_read_cost"] == pytest.approx(100 * 3e-08)
 
 
+def test_completion_cost_logs_the_rates_it_billed_at(monkeypatch):
+    """A caller reporting the cost lines beside their per-token rates reads both off this one call.
+    completion_cost infers the provider, and xai's inclusive tier thresholds put a request sitting
+    exactly on 200k at the tier rate, which a lookup made without that inferred provider would miss.
+    """
+    from datetime import datetime
+
+    from litellm.litellm_core_utils.litellm_logging import Logging
+
+    monkeypatch.setitem(
+        litellm.model_cost,
+        "xai/tiered-model",
+        {
+            "input_cost_per_token": 3e-6,
+            "output_cost_per_token": 15e-6,
+            "cache_read_input_token_cost": 3e-7,
+            "input_cost_per_token_above_200k_tokens": 6e-6,
+            "output_cost_per_token_above_200k_tokens": 3e-5,
+            "cache_read_input_token_cost_above_200k_tokens": 6e-7,
+            "litellm_provider": "xai",
+            "mode": "chat",
+        },
+    )
+    logging_obj = Logging(
+        model="xai/tiered-model",
+        messages=[{"role": "user", "content": "Hello"}],
+        stream=False,
+        call_type="completion",
+        start_time=datetime.now(),
+        litellm_call_id="billed-rates",
+        function_id="f",
+    )
+    usage = Usage(
+        prompt_tokens=200_000,
+        completion_tokens=1_000,
+        total_tokens=201_000,
+        prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=100_000),
+    )
+
+    litellm.completion_cost(
+        completion_response=ModelResponse(model="xai/tiered-model", usage=usage),
+        model="xai/tiered-model",
+        custom_llm_provider=None,
+        litellm_logging_obj=logging_obj,
+    )
+
+    rates = logging_obj.billed_token_rates
+    assert rates is not None
+    assert rates.input_cost_per_token == pytest.approx(6e-6)
+    assert rates.cache_read_input_token_cost == pytest.approx(6e-7)
+    assert logging_obj.cost_breakdown["cache_read_cost"] == pytest.approx(
+        100_000 * rates.cache_read_input_token_cost
+    )
+    assert logging_obj.cost_breakdown["output_cost"] == pytest.approx(1_000 * rates.output_cost_per_token)
+
+
 def test_completion_cost_logs_cache_and_reasoning_breakdown_for_custom_pricing():
     """
     A custom-priced deployment bills cache tokens at its custom cache rates, but the

From 2ece8735384e063b88ca91cf9d2f8f6d2e94b30a Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 17:05:38 +0000
Subject: [PATCH 207/223] test(e2e): lite CLI never fetches the model cost map

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 tests/e2e/coverage_registry/other.yaml   |   2 +
 tests/e2e/other/test_cli_cost_map_e2e.py | 109 +++++++++++++++++++++++
 2 files changed, 111 insertions(+)
 create mode 100644 tests/e2e/other/test_cli_cost_map_e2e.py

diff --git a/tests/e2e/coverage_registry/other.yaml b/tests/e2e/coverage_registry/other.yaml
index 814ebae2e0b..8ac4fc0762c 100644
--- a/tests/e2e/coverage_registry/other.yaml
+++ b/tests/e2e/coverage_registry/other.yaml
@@ -2,6 +2,8 @@
 # PROMOTION NOTE: the auth cluster (~14 cells) is a candidate to promote to its own module once stable.
 - {id: other.auth.master_key.valid_allows, module: other, tier: P0, area: auth, assertions: [valid_allows], source: "user_api_key_auth.py:1569-1588", rationale: "Master key authenticates; timing-safe compare"}
 - {id: other.auth.master_key.invalid_denied, module: other, tier: P0, area: auth, assertions: [invalid_denied], source: "user_api_key_auth.py:1580", rationale: "Invalid master key rejected"}
+- {id: other.cli.model_cost_map.version_skips_fetch, module: other, tier: P1, area: cli, assertions: [version_skips_fetch], source: "get_model_cost_map.py _is_cli_process / LIT-7385", fail_before_fix: proven, rationale: "The lite version command succeeds without requesting the remote model-cost map"}
+- {id: other.cli.model_cost_map.models_list_skips_fetch, module: other, tier: P1, area: cli, assertions: [models_list_skips_fetch], source: "get_model_cost_map.py _is_cli_process / LIT-7385", fail_before_fix: proven, rationale: "The lite models list command uses the proxy without requesting the remote model-cost map"}
 - {id: other.auth.llm_chat.missing_header_denied, module: other, tier: P0, area: auth, assertions: [missing_header_denied], source: "vendor testing strategy §11.1 / LIT-4778", rationale: "Chat with no Authorization header is 401/403"}
 - {id: other.auth.llm_chat.invalid_bearer_denied, module: other, tier: P0, area: auth, assertions: [invalid_bearer_denied], source: "vendor testing strategy §11.1 / LIT-4778", rationale: "Bearer invalid_token on chat is 401/403"}
 - {id: other.auth.llm_chat.no_bearer_prefix_denied, module: other, tier: P0, area: auth, assertions: [no_bearer_prefix_denied], source: "vendor testing strategy §11.1 / LIT-4778", rationale: "Token without Bearer scheme on chat is 401/403"}
diff --git a/tests/e2e/other/test_cli_cost_map_e2e.py b/tests/e2e/other/test_cli_cost_map_e2e.py
new file mode 100644
index 00000000000..6022d5a0a4c
--- /dev/null
+++ b/tests/e2e/other/test_cli_cost_map_e2e.py
@@ -0,0 +1,109 @@
+from __future__ import annotations
+
+import os
+import shutil
+import subprocess
+import threading
+from collections.abc import Mapping
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+from pathlib import Path
+from typing import Final
+
+import pytest
+from e2e_config import MASTER_KEY, PROXY_BASE_URL
+from proxy_client import ProxyClient
+
+pytestmark = pytest.mark.e2e
+
+
+def _start_cost_map_server(request_log: Path) -> tuple[ThreadingHTTPServer, threading.Thread]:
+    class CostMapHandler(BaseHTTPRequestHandler):
+        def do_GET(self) -> None:
+            with request_log.open("a", encoding="utf-8") as log_file:
+                log_file.write(f"{self.path}\n")
+            body: Final = b'{"test-model": {"litellm_provider": "openai", "mode": "chat"}}'
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(body)))
+            self.end_headers()
+            self.wfile.write(body)
+
+        def log_message(self, format: str, *args: object) -> None:
+            return
+
+    server: Final = ThreadingHTTPServer(("127.0.0.1", 0), CostMapHandler)
+    thread: Final = threading.Thread(target=server.serve_forever, daemon=True)
+    thread.start()
+    return server, thread
+
+
+def _run_lite(
+    args: tuple[str, ...],
+    server: ThreadingHTTPServer,
+    env: Mapping[str, str],
+) -> subprocess.CompletedProcess[str]:
+    lite_path: Final = shutil.which("lite")
+    assert lite_path is not None, "the installed lite executable is required for e2e coverage"
+    try:
+        return subprocess.run(
+            [lite_path, *args],
+            capture_output=True,
+            text=True,
+            timeout=60,
+            env=env,
+        )
+    finally:
+        server.shutdown()
+        server.server_close()
+
+
+def _request_count(request_log: Path) -> int:
+    return request_log.read_text(encoding="utf-8").count("\n") if request_log.exists() else 0
+
+
+class TestLiteCliCostMapFetch:
+    @pytest.mark.covers("other.cli.model_cost_map.version_skips_fetch")
+    def test_lite_version_makes_no_cost_map_request(self, tmp_path: Path) -> None:
+        request_log: Final = tmp_path / "requests.log"
+        server, thread = _start_cost_map_server(request_log)
+        source_root: Final = str(Path(__file__).resolve().parents[3])
+        pythonpath: Final = os.pathsep.join(filter(None, (source_root, os.environ.get("PYTHONPATH"))))
+        env: Final = {
+            **{key: value for key, value in os.environ.items() if key != "LITELLM_LOCAL_MODEL_COST_MAP"},
+            "PYTHONPATH": pythonpath,
+            "LITELLM_MODEL_COST_MAP_URL": f"http://127.0.0.1:{server.server_port}/map.json",
+            "LITELLM_PROXY_URL": PROXY_BASE_URL,
+        }
+        try:
+            result: Final = _run_lite(("--version",), server, env)
+        finally:
+            thread.join(timeout=10)
+
+        assert result.returncode == 0
+        assert "LiteLLM Proxy CLI Version" in result.stdout
+        assert _request_count(request_log) == 0
+
+    @pytest.mark.covers("other.cli.model_cost_map.models_list_skips_fetch")
+    def test_lite_models_list_uses_proxy_not_cost_map(self, tmp_path: Path, proxy: ProxyClient) -> None:
+        model_names: Final = tuple(entry.model_name for entry in proxy.model_info())
+        assert model_names
+        request_log: Final = tmp_path / "requests.log"
+        server, thread = _start_cost_map_server(request_log)
+        source_root: Final = str(Path(__file__).resolve().parents[3])
+        pythonpath: Final = os.pathsep.join(filter(None, (source_root, os.environ.get("PYTHONPATH"))))
+        env: Final = {
+            **{key: value for key, value in os.environ.items() if key != "LITELLM_LOCAL_MODEL_COST_MAP"},
+            "PYTHONPATH": pythonpath,
+            "LITELLM_MODEL_COST_MAP_URL": f"http://127.0.0.1:{server.server_port}/map.json",
+            "LITELLM_PROXY_URL": PROXY_BASE_URL,
+            "LITELLM_PROXY_API_KEY": MASTER_KEY,
+        }
+        try:
+            result: Final = _run_lite(("models", "list"), server, env)
+        finally:
+            thread.join(timeout=10)
+
+        assert result.returncode == 0
+        assert result.stdout.strip()
+        assert any(model_name in result.stdout for model_name in model_names)
+        assert _request_count(request_log) == 0

From 6e71b90a888b91fe3aa281fa14da58f258b9f056 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 17:07:34 +0000
Subject: [PATCH 208/223] test(e2e): dedupe lite env setup

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 tests/e2e/coverage_registry/other.yaml   |  4 ++--
 tests/e2e/other/test_cli_cost_map_e2e.py | 29 ++++++++++--------------
 2 files changed, 14 insertions(+), 19 deletions(-)

diff --git a/tests/e2e/coverage_registry/other.yaml b/tests/e2e/coverage_registry/other.yaml
index 8ac4fc0762c..a7ba0dbb8cb 100644
--- a/tests/e2e/coverage_registry/other.yaml
+++ b/tests/e2e/coverage_registry/other.yaml
@@ -2,8 +2,6 @@
 # PROMOTION NOTE: the auth cluster (~14 cells) is a candidate to promote to its own module once stable.
 - {id: other.auth.master_key.valid_allows, module: other, tier: P0, area: auth, assertions: [valid_allows], source: "user_api_key_auth.py:1569-1588", rationale: "Master key authenticates; timing-safe compare"}
 - {id: other.auth.master_key.invalid_denied, module: other, tier: P0, area: auth, assertions: [invalid_denied], source: "user_api_key_auth.py:1580", rationale: "Invalid master key rejected"}
-- {id: other.cli.model_cost_map.version_skips_fetch, module: other, tier: P1, area: cli, assertions: [version_skips_fetch], source: "get_model_cost_map.py _is_cli_process / LIT-7385", fail_before_fix: proven, rationale: "The lite version command succeeds without requesting the remote model-cost map"}
-- {id: other.cli.model_cost_map.models_list_skips_fetch, module: other, tier: P1, area: cli, assertions: [models_list_skips_fetch], source: "get_model_cost_map.py _is_cli_process / LIT-7385", fail_before_fix: proven, rationale: "The lite models list command uses the proxy without requesting the remote model-cost map"}
 - {id: other.auth.llm_chat.missing_header_denied, module: other, tier: P0, area: auth, assertions: [missing_header_denied], source: "vendor testing strategy §11.1 / LIT-4778", rationale: "Chat with no Authorization header is 401/403"}
 - {id: other.auth.llm_chat.invalid_bearer_denied, module: other, tier: P0, area: auth, assertions: [invalid_bearer_denied], source: "vendor testing strategy §11.1 / LIT-4778", rationale: "Bearer invalid_token on chat is 401/403"}
 - {id: other.auth.llm_chat.no_bearer_prefix_denied, module: other, tier: P0, area: auth, assertions: [no_bearer_prefix_denied], source: "vendor testing strategy §11.1 / LIT-4778", rationale: "Token without Bearer scheme on chat is 401/403"}
@@ -50,3 +48,5 @@
 - {id: other.a2a.message_send.bridge_invokes, module: other, tier: P1, area: a2a, assertions: [bridge_invokes], source: "a2a_protocol/litellm_completion_bridge/handler.py", rationale: "A2A message/send routes through the completion bridge to a real provider and logs an asend_message spend row"}
 - {id: other.a2a.version.serves_pinned_0_3, module: other, tier: P1, area: a2a, assertions: [serves_pinned_0_3], source: "agent_endpoints/a2a_endpoints.py _served_version", rationale: "An agent pinning 0.3 returns the flat 0.3 message shape (parts on the result)"}
 - {id: other.a2a.version.serves_pinned_1_0, module: other, tier: P1, area: a2a, assertions: [serves_pinned_1_0], source: "agent_endpoints/a2a_endpoints.py _served_version", rationale: "An agent pinning 1.0 returns the nested 1.0 message shape (result.message with ROLE_AGENT)"}
+- {id: other.cli.model_cost_map.version_skips_fetch, module: other, tier: P1, area: cli, assertions: [version_skips_fetch], source: "get_model_cost_map.py _is_cli_process / LIT-7385", fail_before_fix: proven, rationale: "The lite version command succeeds without requesting the remote model-cost map"}
+- {id: other.cli.model_cost_map.models_list_skips_fetch, module: other, tier: P1, area: cli, assertions: [models_list_skips_fetch], source: "get_model_cost_map.py _is_cli_process / LIT-7385", fail_before_fix: proven, rationale: "The lite models list command uses the proxy without requesting the remote model-cost map"}
diff --git a/tests/e2e/other/test_cli_cost_map_e2e.py b/tests/e2e/other/test_cli_cost_map_e2e.py
index 6022d5a0a4c..62cd3d6c3f5 100644
--- a/tests/e2e/other/test_cli_cost_map_e2e.py
+++ b/tests/e2e/other/test_cli_cost_map_e2e.py
@@ -37,6 +37,16 @@ def _start_cost_map_server(request_log: Path) -> tuple[ThreadingHTTPServer, thre
     return server, thread
 
 
+def _lite_env(server: ThreadingHTTPServer, api_key: str | None) -> dict[str, str]:
+    base_env: Final = {key: value for key, value in os.environ.items() if key != "LITELLM_LOCAL_MODEL_COST_MAP"}
+    return {
+        **base_env,
+        "LITELLM_MODEL_COST_MAP_URL": f"http://127.0.0.1:{server.server_port}/map.json",
+        "LITELLM_PROXY_URL": PROXY_BASE_URL,
+        **({"LITELLM_PROXY_API_KEY": api_key} if api_key is not None else {}),
+    }
+
+
 def _run_lite(
     args: tuple[str, ...],
     server: ThreadingHTTPServer,
@@ -66,14 +76,7 @@ class TestLiteCliCostMapFetch:
     def test_lite_version_makes_no_cost_map_request(self, tmp_path: Path) -> None:
         request_log: Final = tmp_path / "requests.log"
         server, thread = _start_cost_map_server(request_log)
-        source_root: Final = str(Path(__file__).resolve().parents[3])
-        pythonpath: Final = os.pathsep.join(filter(None, (source_root, os.environ.get("PYTHONPATH"))))
-        env: Final = {
-            **{key: value for key, value in os.environ.items() if key != "LITELLM_LOCAL_MODEL_COST_MAP"},
-            "PYTHONPATH": pythonpath,
-            "LITELLM_MODEL_COST_MAP_URL": f"http://127.0.0.1:{server.server_port}/map.json",
-            "LITELLM_PROXY_URL": PROXY_BASE_URL,
-        }
+        env: Final = _lite_env(server, None)
         try:
             result: Final = _run_lite(("--version",), server, env)
         finally:
@@ -89,15 +92,7 @@ class TestLiteCliCostMapFetch:
         assert model_names
         request_log: Final = tmp_path / "requests.log"
         server, thread = _start_cost_map_server(request_log)
-        source_root: Final = str(Path(__file__).resolve().parents[3])
-        pythonpath: Final = os.pathsep.join(filter(None, (source_root, os.environ.get("PYTHONPATH"))))
-        env: Final = {
-            **{key: value for key, value in os.environ.items() if key != "LITELLM_LOCAL_MODEL_COST_MAP"},
-            "PYTHONPATH": pythonpath,
-            "LITELLM_MODEL_COST_MAP_URL": f"http://127.0.0.1:{server.server_port}/map.json",
-            "LITELLM_PROXY_URL": PROXY_BASE_URL,
-            "LITELLM_PROXY_API_KEY": MASTER_KEY,
-        }
+        env: Final = _lite_env(server, MASTER_KEY)
         try:
             result: Final = _run_lite(("models", "list"), server, env)
         finally:

From 996ee5635ab79854992661279c2e8db793b3dda4 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Wed, 9 Sep 2026 10:35:50 -0700
Subject: [PATCH 209/223] perf(proxy): pipeline spend counter increments into
 one Redis call per request (#40371)

* perf(proxy): pipeline spend counter increments into one redis call

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): apply surviving spend increments before raising scope error

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* style(proxy): ruff format spend counter helpers

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): settle inner spend counter gathers and fall back per key on pipeline failure

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): suppress BLE001 on pipeline fallback catch

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): invalidate all batched spend counters on pipeline failure

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/proxy/proxy_server.py                 | 331 +++++++----
 .../proxy/proxy_server/test_spend_counters.py | 538 ++++++++++--------
 .../test_budget_reservation_redis_failure.py  |   9 +
 .../proxy/test_budget_reservation.py          |   9 +
 tests/test_litellm/proxy/test_proxy_server.py |  94 ++-
 5 files changed, 609 insertions(+), 372 deletions(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 7aed0553b4b..c241e66049b 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -17,6 +17,7 @@ import time
 import traceback
 import warnings
 from collections.abc import AsyncGenerator, AsyncIterator, Callable, Collection, Mapping, MutableMapping, Sequence
+from dataclasses import dataclass
 from datetime import datetime, timedelta, timezone
 from types import MappingProxyType, UnionType
 from typing import (
@@ -131,6 +132,7 @@ from litellm.router_utils.auto_router_tuning_baseline import (
     snapshot_tuning_baselines,
     tuning_limit_violation,
 )
+from litellm.types.caching import RedisPipelineIncrementOperation
 from litellm.types.utils import (
     ModelResponse,
     ModelResponseStream,
@@ -2703,6 +2705,12 @@ async def _read_spend_counter_estimate(counter_key: str, fallback_spend: float)
     return fallback_spend, False
 
 
+@dataclass(frozen=True, slots=True)
+class _PendingSpendIncrement:
+    counter_key: str
+    increment: float
+
+
 async def increment_spend_counters(
     token: str | None,
     team_id: str | None,
@@ -2737,7 +2745,7 @@ async def increment_spend_counters(
 
     cost: Final[float] = response_cost
 
-    async def _key_scope(key_token: str) -> None:
+    async def _key_scope(key_token: str) -> tuple[_PendingSpendIncrement | BaseException, ...]:
         # key_token arrives pre-hashed from metadata["user_api_key"] (auth flow
         # hashes raw "sk-..." keys before they reach the callback). The
         # startswith("sk-") check is a safety net matching update_cache —
@@ -2748,30 +2756,29 @@ async def increment_spend_counters(
             hash_token(token=key_token) if isinstance(key_token, str) and key_token.startswith("sk-") else key_token
         )
         key_counter_key: Final = f"spend:key:{hashed_token}"
-        if key_counter_key not in reserved_counter_keys:
-            await _init_and_increment_spend_counter(
-                counter_key=key_counter_key,
-                source_cache_key=hashed_token,
-                increment=cost,
+        key_pending: Final[tuple[_PendingSpendIncrement, ...]] = (
+            ()
+            if key_counter_key in reserved_counter_keys
+            else (
+                await _prepare_spend_counter_increment(
+                    counter_key=key_counter_key,
+                    source_cache_key=hashed_token,
+                    increment=cost,
+                ),
             )
-
-        key_obj: Final[object] = await user_api_key_cache.async_get_cache(key=hashed_token)
-        if key_obj is None:
-            return
-        key_budget_limits = getattr(key_obj, "budget_limits", None) or (
-            key_obj.get("budget_limits") if isinstance(key_obj, dict) else None
         )
-        if isinstance(key_budget_limits, str):
-            key_budget_limits = json.loads(key_budget_limits)
-        if not isinstance(key_budget_limits, list):
-            return
-        for window in key_budget_limits:
-            duration = window["budget_duration"] if isinstance(window, dict) else window.budget_duration
-            key_window_reset_at = window.get("reset_at") if isinstance(window, dict) else window.reset_at
-            key_window_counter = f"spend:key:{hashed_token}:window:{duration}"
+
+        async def _key_window_increment(window: object) -> _PendingSpendIncrement | None:
+            duration = (
+                window["budget_duration"] if isinstance(window, dict) else getattr(window, "budget_duration", None)
+            )
+            key_window_reset_at = (
+                window.get("reset_at") if isinstance(window, dict) else getattr(window, "reset_at", None)
+            )
+            key_window_counter: Final = f"spend:key:{hashed_token}:window:{duration}"
             key_window_start = get_budget_window_start(window)
-            if key_window_counter not in reserved_counter_keys:
-                await _init_and_increment_window_spend_counter(
+            pending_window: Final = (
+                await _prepare_window_spend_counter_increment(
                     counter_key=key_window_counter,
                     entity_type="Key",
                     entity_id=hashed_token,
@@ -2779,6 +2786,9 @@ async def increment_spend_counters(
                     window_start=key_window_start,
                     increment=cost,
                 )
+                if key_window_counter not in reserved_counter_keys
+                else None
+            )
             await _enqueue_window_spend_row_update(
                 entity_type=Litellm_EntityType.KEY,
                 entity_id=hashed_token,
@@ -2788,33 +2798,48 @@ async def increment_spend_counters(
                 increment=cost,
                 request_started_at=request_started_at,
             )
+            return pending_window
 
-    async def _team_scope(scope_team_id: str) -> None:
-        team_counter_key: Final = f"spend:team:{scope_team_id}"
-        if team_counter_key not in reserved_counter_keys:
-            await _init_and_increment_spend_counter(
-                counter_key=team_counter_key,
-                source_cache_key=f"team_id:{scope_team_id}",
-                increment=cost,
-            )
-
-        team_obj: Final[object] = await user_api_key_cache.async_get_cache(key=f"team_id:{scope_team_id}")
-        if team_obj is None:
-            return
-        team_budget_limits = getattr(team_obj, "budget_limits", None) or (
-            team_obj.get("budget_limits") if isinstance(team_obj, dict) else None
+        key_obj: Final[object] = await user_api_key_cache.async_get_cache(key=hashed_token)
+        if key_obj is None:
+            return key_pending
+        key_budget_limits = getattr(key_obj, "budget_limits", None) or (
+            key_obj.get("budget_limits") if isinstance(key_obj, dict) else None
         )
-        if isinstance(team_budget_limits, str):
-            team_budget_limits = json.loads(team_budget_limits)
-        if not isinstance(team_budget_limits, list):
-            return
-        for window in team_budget_limits:
-            duration = window["budget_duration"] if isinstance(window, dict) else window.budget_duration
-            team_window_reset_at = window.get("reset_at") if isinstance(window, dict) else window.reset_at
-            team_window_counter = f"spend:team:{scope_team_id}:window:{duration}"
+        if isinstance(key_budget_limits, str):
+            key_budget_limits = json.loads(key_budget_limits)
+        if not isinstance(key_budget_limits, list):
+            return key_pending
+        window_pending: Final = await asyncio.gather(
+            *(_key_window_increment(window) for window in key_budget_limits), return_exceptions=True
+        )
+        return key_pending + tuple(item for item in window_pending if item is not None)
+
+    async def _team_scope(scope_team_id: str) -> tuple[_PendingSpendIncrement | BaseException, ...]:
+        team_counter_key: Final = f"spend:team:{scope_team_id}"
+        team_pending: Final[tuple[_PendingSpendIncrement, ...]] = (
+            ()
+            if team_counter_key in reserved_counter_keys
+            else (
+                await _prepare_spend_counter_increment(
+                    counter_key=team_counter_key,
+                    source_cache_key=f"team_id:{scope_team_id}",
+                    increment=cost,
+                ),
+            )
+        )
+
+        async def _team_window_increment(window: object) -> _PendingSpendIncrement | None:
+            duration = (
+                window["budget_duration"] if isinstance(window, dict) else getattr(window, "budget_duration", None)
+            )
+            team_window_reset_at = (
+                window.get("reset_at") if isinstance(window, dict) else getattr(window, "reset_at", None)
+            )
+            team_window_counter: Final = f"spend:team:{scope_team_id}:window:{duration}"
             team_window_start = get_budget_window_start(window)
-            if team_window_counter not in reserved_counter_keys:
-                await _init_and_increment_window_spend_counter(
+            pending_window: Final = (
+                await _prepare_window_spend_counter_increment(
                     counter_key=team_window_counter,
                     entity_type="Team",
                     entity_id=scope_team_id,
@@ -2822,6 +2847,9 @@ async def increment_spend_counters(
                     window_start=team_window_start,
                     increment=cost,
                 )
+                if team_window_counter not in reserved_counter_keys
+                else None
+            )
             await _enqueue_window_spend_row_update(
                 entity_type=Litellm_EntityType.TEAM,
                 entity_id=scope_team_id,
@@ -2831,25 +2859,47 @@ async def increment_spend_counters(
                 increment=cost,
                 request_started_at=request_started_at,
             )
+            return pending_window
 
-    async def _team_member_scope(scope_user_id: str, scope_team_id: str) -> None:
+        team_obj: Final[object] = await user_api_key_cache.async_get_cache(key=f"team_id:{scope_team_id}")
+        if team_obj is None:
+            return team_pending
+        team_budget_limits = getattr(team_obj, "budget_limits", None) or (
+            team_obj.get("budget_limits") if isinstance(team_obj, dict) else None
+        )
+        if isinstance(team_budget_limits, str):
+            team_budget_limits = json.loads(team_budget_limits)
+        if not isinstance(team_budget_limits, list):
+            return team_pending
+        window_pending: Final = await asyncio.gather(
+            *(_team_window_increment(window) for window in team_budget_limits), return_exceptions=True
+        )
+        return team_pending + tuple(item for item in window_pending if item is not None)
+
+    async def _team_member_scope(
+        scope_user_id: str, scope_team_id: str
+    ) -> tuple[_PendingSpendIncrement | BaseException, ...]:
         team_member_counter_key: Final = f"spend:team_member:{scope_user_id}:{scope_team_id}"
         if team_member_counter_key in reserved_counter_keys:
-            return
-        await _init_and_increment_spend_counter(
-            counter_key=team_member_counter_key,
-            source_cache_key=f"team_membership:{scope_user_id}:{scope_team_id}",
-            increment=cost,
+            return ()
+        return (
+            await _prepare_spend_counter_increment(
+                counter_key=team_member_counter_key,
+                source_cache_key=f"team_membership:{scope_user_id}:{scope_team_id}",
+                increment=cost,
+            ),
         )
 
-    async def _user_scope(scope_user_id: str) -> None:
+    async def _user_scope(scope_user_id: str) -> tuple[_PendingSpendIncrement | BaseException, ...]:
         user_counter_key: Final = f"spend:user:{scope_user_id}"
         if user_counter_key in reserved_counter_keys:
-            return
-        await _init_and_increment_spend_counter(
-            counter_key=user_counter_key,
-            source_cache_key=scope_user_id,
-            increment=cost,
+            return ()
+        return (
+            await _prepare_spend_counter_increment(
+                counter_key=user_counter_key,
+                source_cache_key=scope_user_id,
+                increment=cost,
+            ),
         )
 
     scope_coros: Final = tuple(
@@ -2859,7 +2909,7 @@ async def increment_spend_counters(
             _team_scope(team_id) if team_id is not None else None,
             _team_member_scope(user_id, team_id) if user_id is not None and team_id is not None else None,
             _user_scope(user_id) if user_id is not None else None,
-            _increment_end_user_and_tag_spend_counters(
+            _prepare_end_user_and_tag_spend_increments(
                 end_user_id=end_user_id,
                 tags=tags,
                 response_cost=cost,
@@ -2867,14 +2917,14 @@ async def increment_spend_counters(
             )
             if end_user_id is not None or tags is not None
             else None,
-            _increment_model_access_group_spend_counters(
+            _prepare_model_access_group_spend_increments(
                 model_access_groups=model_access_groups,
                 response_cost=cost,
                 reserved_counter_keys=reserved_counter_keys,
             )
             if model_access_groups
             else None,
-            _increment_org_spend_counter(
+            _prepare_org_spend_increment(
                 org_id=org_id,
                 response_cost=cost,
                 reserved_counter_keys=reserved_counter_keys,
@@ -2889,7 +2939,20 @@ async def increment_spend_counters(
     # as orphaned tasks that race the caller's reservation-counter invalidation;
     # all scopes settle, then the first error propagates as before.
     scope_results: Final = await asyncio.gather(*scope_coros, return_exceptions=True)
-    scope_errors: Final = [r for r in scope_results if isinstance(r, BaseException)]
+    scope_errors: Final = tuple(
+        item
+        for scope in scope_results
+        for item in (scope if isinstance(scope, tuple) else (scope,))
+        if isinstance(item, BaseException)
+    )
+    pending: Final = tuple(
+        item
+        for scope in scope_results
+        if not isinstance(scope, BaseException)
+        for item in scope
+        if not isinstance(item, BaseException)
+    )
+    await _apply_spend_counter_increments(pending=pending)
     if scope_errors:
         raise scope_errors[0]
 
@@ -2932,41 +2995,49 @@ async def _reconcile_budget_reservation_for_counter_update(
     return reserved_counter_keys
 
 
-async def _increment_end_user_and_tag_spend_counters(
+async def _prepare_end_user_and_tag_spend_increments(
     end_user_id: str | None,
     tags: list[str] | None,
     response_cost: float,
     reserved_counter_keys: set[str],
-) -> None:
-    if end_user_id is not None:
-        await _init_and_increment_unreserved_spend_counter(
-            counter_key=f"spend:end_user:{end_user_id}",
-            source_cache_key=end_user_cache_key(end_user_id),
-            increment=response_cost,
-            reserved_counter_keys=reserved_counter_keys,
-        )
-
-    if tags is None:
-        return
-
-    seen_tags: Final[set[str]] = set()
-    for tag_name in tags:
-        if not tag_name or not isinstance(tag_name, str) or tag_name in seen_tags:
-            continue
-        seen_tags.add(tag_name)
-        await _init_and_increment_unreserved_spend_counter(
-            counter_key=f"spend:tag:{tag_name}",
-            source_cache_key=tag_cache_key(tag_name),
-            increment=response_cost,
-            reserved_counter_keys=reserved_counter_keys,
-        )
+) -> tuple[_PendingSpendIncrement | BaseException, ...]:
+    unique_tags: Final = (
+        tuple(dict.fromkeys(tag for tag in tags if tag and isinstance(tag, str))) if tags is not None else ()
+    )
+    results: Final = await asyncio.gather(
+        *(
+            coro
+            for coro in (
+                _prepare_unreserved_spend_counter_increment(
+                    counter_key=f"spend:end_user:{end_user_id}",
+                    source_cache_key=end_user_cache_key(end_user_id),
+                    increment=response_cost,
+                    reserved_counter_keys=reserved_counter_keys,
+                )
+                if end_user_id is not None
+                else None,
+                *(
+                    _prepare_unreserved_spend_counter_increment(
+                        counter_key=f"spend:tag:{tag_name}",
+                        source_cache_key=tag_cache_key(tag_name),
+                        increment=response_cost,
+                        reserved_counter_keys=reserved_counter_keys,
+                    )
+                    for tag_name in unique_tags
+                ),
+            )
+            if coro is not None
+        ),
+        return_exceptions=True,
+    )
+    return tuple(item for item in results if item is not None)
 
 
-async def _increment_model_access_group_spend_counters(
+async def _prepare_model_access_group_spend_increments(
     model_access_groups: Sequence[object],
     response_cost: float,
     reserved_counter_keys: set[str],
-) -> None:
+) -> tuple[_PendingSpendIncrement | BaseException, ...]:
     """Charge the model access groups that authorized this request.
 
     Without this the counter auth reads is written only by the reservation path, so
@@ -2980,55 +3051,63 @@ async def _increment_model_access_group_spend_counters(
     unique_groups: Final = tuple(
         dict.fromkeys(group for group in model_access_groups if group and isinstance(group, str))
     )
-    for group in unique_groups:
-        await _init_and_increment_unreserved_spend_counter(
-            counter_key=model_access_group_spend_counter_key(group),
-            source_cache_key=model_access_group_cache_key(group),
-            increment=response_cost,
-            reserved_counter_keys=reserved_counter_keys,
-        )
+    results: Final = await asyncio.gather(
+        *(
+            _prepare_unreserved_spend_counter_increment(
+                counter_key=model_access_group_spend_counter_key(group),
+                source_cache_key=model_access_group_cache_key(group),
+                increment=response_cost,
+                reserved_counter_keys=reserved_counter_keys,
+            )
+            for group in unique_groups
+        ),
+        return_exceptions=True,
+    )
+    return tuple(item for item in results if item is not None)
 
 
-async def _increment_org_spend_counter(
+async def _prepare_org_spend_increment(
     org_id: str | None,
     response_cost: float,
     reserved_counter_keys: set[str],
-) -> None:
+) -> tuple[_PendingSpendIncrement, ...]:
     if org_id is None:
-        return
+        return ()
 
-    await _init_and_increment_unreserved_spend_counter(
+    pending: Final = await _prepare_unreserved_spend_counter_increment(
         counter_key=f"spend:org:{org_id}",
         source_cache_key=[f"org_id:{org_id}:with_budget", f"org_id:{org_id}"],
         increment=response_cost,
         reserved_counter_keys=reserved_counter_keys,
     )
+    return (pending,) if pending is not None else ()
 
 
-async def _init_and_increment_unreserved_spend_counter(
+async def _prepare_unreserved_spend_counter_increment(
     counter_key: str,
     source_cache_key: str | list[str],
     increment: float,
     reserved_counter_keys: set[str],
-) -> None:
+) -> _PendingSpendIncrement | None:
     if counter_key in reserved_counter_keys:
-        return
+        return None
 
-    await _init_and_increment_spend_counter(
+    return await _prepare_spend_counter_increment(
         counter_key=counter_key,
         source_cache_key=source_cache_key,
         increment=increment,
     )
 
 
-async def _init_and_increment_spend_counter(
+async def _prepare_spend_counter_increment(
     counter_key: str,
     source_cache_key: str | list[str],
     increment: float,
-):
+) -> _PendingSpendIncrement:
     """
     Initialize counter from the authoritative DB spend value if not yet
-    set, then atomically increment in both in-memory and Redis.
+    set, then return the pending increment for the caller to apply in one
+    pipelined Redis call.
 
     On first access per pod:
     1. Check spend_counter_cache (in-memory -> Redis via DualCache)
@@ -3040,13 +3119,13 @@ async def _init_and_increment_spend_counter(
        the counter as absent and seed it. Using increment means the worst case
        is over-counting (conservative, blocks slightly early) rather than
        under-counting (would allow overspend).
-    4. Increment atomically (both in-memory + Redis)
+    4. Increment is returned for the caller to apply via pipeline
     """
     await _ensure_spend_counter_initialized(
         counter_key=counter_key,
         source_cache_key=source_cache_key,
     )
-    await _increment_spend_counter_cache(counter_key=counter_key, increment=increment)
+    return _PendingSpendIncrement(counter_key=counter_key, increment=increment)
 
 
 async def _enqueue_window_spend_row_update(
@@ -3098,20 +3177,20 @@ async def _enqueue_window_spend_row_update(
         )
 
 
-async def _init_and_increment_window_spend_counter(
+async def _prepare_window_spend_counter_increment(
     counter_key: str,
     entity_type: str,
     entity_id: str,
     window_duration: str | None,
     window_start: datetime | None,
     increment: float,
-):
+) -> _PendingSpendIncrement | None:
     if window_start is None:
         verbose_proxy_logger.warning(
             "Skipping spend counter increment for invalid budget window %s",
             counter_key,
         )
-        return
+        return None
 
     initialized: Final = await _ensure_window_spend_counter_initialized(
         counter_key=counter_key,
@@ -3121,8 +3200,8 @@ async def _init_and_increment_window_spend_counter(
         window_start=window_start,
     )
     if initialized is False:
-        return
-    await _increment_spend_counter_cache(counter_key=counter_key, increment=increment)
+        return None
+    return _PendingSpendIncrement(counter_key=counter_key, increment=increment)
 
 
 async def _ensure_spend_counter_initialized(
@@ -3255,6 +3334,32 @@ async def _invalidate_spend_counter(counter_key: str):
             )
 
 
+async def _apply_spend_counter_increments(pending: Sequence[_PendingSpendIncrement]) -> None:
+    if not pending:
+        return
+    redis_cache: Final = spend_counter_cache.redis_cache
+    if redis_cache is None:
+        for item in pending:
+            await spend_counter_cache.async_increment_cache(
+                key=item.counter_key,
+                value=item.increment,
+                refresh_ttl=True,
+            )
+        return
+    ttl: Final = redis_cache.get_ttl()
+    increment_list: Final = [  # mutable-ok: async_increment_pipeline signature requires list[RedisPipelineIncrementOperation]
+        RedisPipelineIncrementOperation(key=item.counter_key, increment_value=item.increment, ttl=ttl)
+        for item in pending
+    ]
+    try:
+        results: Final = await redis_cache.async_increment_pipeline(increment_list=increment_list)
+    except Exception:
+        await asyncio.gather(*(_invalidate_spend_counter(counter_key=item.counter_key) for item in pending))
+        raise
+    for item, current_value in zip(pending, results or ()):
+        spend_counter_cache.in_memory_cache.set_cache(key=item.counter_key, value=current_value)
+
+
 async def update_cache(
     token: str | None,
     user_id: str | None,
diff --git a/tests/test_litellm/proxy/proxy_server/test_spend_counters.py b/tests/test_litellm/proxy/proxy_server/test_spend_counters.py
index 86e97a334df..c343652efd9 100644
--- a/tests/test_litellm/proxy/proxy_server/test_spend_counters.py
+++ b/tests/test_litellm/proxy/proxy_server/test_spend_counters.py
@@ -4,11 +4,12 @@ Pins covered:
 - ``get_current_spend``
 - ``increment_spend_counters``
 - ``_reconcile_budget_reservation_for_counter_update``
-- ``_increment_end_user_and_tag_spend_counters``
-- ``_increment_org_spend_counter``
-- ``_init_and_increment_unreserved_spend_counter``
-- ``_init_and_increment_spend_counter``
-- ``_init_and_increment_window_spend_counter``
+- ``_prepare_end_user_and_tag_spend_increments``
+- ``_prepare_org_spend_increment``
+- ``_prepare_unreserved_spend_counter_increment``
+- ``_prepare_spend_counter_increment``
+- ``_prepare_window_spend_counter_increment``
+- ``_apply_spend_counter_increments``
 - ``_ensure_spend_counter_initialized``
 - ``_get_source_cache_base_spend``
 - ``_ensure_window_spend_counter_initialized``
@@ -48,9 +49,7 @@ def _make_spend_counter_cache(
     cache.in_memory_cache.delete_cache = MagicMock()
     if with_redis:
         cache.redis_cache = MagicMock()
-        cache.redis_cache.async_get_cache = AsyncMock(
-            return_value=redis_get_value, side_effect=redis_get_side_effect
-        )
+        cache.redis_cache.async_get_cache = AsyncMock(return_value=redis_get_value, side_effect=redis_get_side_effect)
         cache.redis_cache.async_increment = AsyncMock(
             return_value=redis_increment_value,
             side_effect=redis_increment_side_effect,
@@ -58,6 +57,8 @@ def _make_spend_counter_cache(
         cache.redis_cache.async_delete_cache = AsyncMock()
         cache.redis_cache.async_set_cache = AsyncMock()
         cache.redis_cache.async_set_max = AsyncMock()
+        cache.redis_cache.async_increment_pipeline = AsyncMock(return_value=None)
+        cache.redis_cache.get_ttl = MagicMock(return_value=None)
     else:
         cache.redis_cache = None
     cache.async_increment_cache = AsyncMock(return_value=redis_increment_value)
@@ -70,9 +71,7 @@ def _make_spend_counter_cache(
 
 def _make_user_api_key_cache(get_value=None, get_side_effect=None):
     cache = MagicMock()
-    cache.async_get_cache = AsyncMock(
-        return_value=get_value, side_effect=get_side_effect
-    )
+    cache.async_get_cache = AsyncMock(return_value=get_value, side_effect=get_side_effect)
     cache.async_set_cache_pipeline = AsyncMock()
     return cache
 
@@ -109,9 +108,7 @@ async def test_get_current_spend_redis_error_falls_back_to_in_memory(monkeypatch
     )
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
 
-    result = await ps.get_current_spend(
-        counter_key="spend:key:abc", fallback_spend=99.0
-    )
+    result = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=99.0)
     assert result == 17.0
 
 
@@ -136,9 +133,7 @@ async def test_get_current_spend_floors_stale_low_counter_against_db(monkeypatch
     # the stale counter is repaired up to the authoritative DB value via a
     # monotonic set-max so other workers read the corrected total, and a
     # concurrent increment cannot be clobbered
-    fake_cache.redis_cache.async_set_max.assert_awaited_once_with(
-        key="spend:key:abc", value=12.0
-    )
+    fake_cache.redis_cache.async_set_max.assert_awaited_once_with(key="spend:key:abc", value=12.0)
 
 
 @pytest.mark.asyncio
@@ -169,9 +164,7 @@ async def test_get_current_spend_no_floor_without_max_budget(monkeypatch):
     from_db = AsyncMock(return_value=12.0)
     monkeypatch.setattr(ps.SpendCounterReseed, "from_db", from_db)
 
-    result = await ps.get_current_spend(
-        counter_key="spend:key:abc", fallback_spend=12.0
-    )
+    result = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=12.0)
 
     assert result == 2.0
     assert from_db.await_count == 0
@@ -210,12 +203,8 @@ async def test_get_current_spend_floor_caches_db_read(monkeypatch):
     from_db = AsyncMock(return_value=12.0)
     monkeypatch.setattr(ps.SpendCounterReseed, "from_db", from_db)
 
-    first = await ps.get_current_spend(
-        counter_key="spend:key:abc", fallback_spend=12.0, max_budget=10.0
-    )
-    second = await ps.get_current_spend(
-        counter_key="spend:key:abc", fallback_spend=12.0, max_budget=10.0
-    )
+    first = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=12.0, max_budget=10.0)
+    second = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=12.0, max_budget=10.0)
 
     assert first == 12.0
     assert second == 12.0
@@ -336,9 +325,7 @@ async def test_get_current_spend_floors_window_against_spend_logs(monkeypatch):
 
     assert result == 15.0
     assert wfsl.await_count == 1
-    fake_cache.redis_cache.async_set_max.assert_awaited_once_with(
-        key=counter_key, value=15.0
-    )
+    fake_cache.redis_cache.async_set_max.assert_awaited_once_with(key=counter_key, value=15.0)
 
 
 def _make_window_spend_prisma(row=None, spend_logs_total=0.0):
@@ -379,9 +366,7 @@ async def test_get_current_spend_floors_window_against_maintained_row(monkeypatc
 
     assert result == 15.0
     fake_prisma.db.litellm_spendlogs.group_by.assert_not_awaited()
-    fake_cache.redis_cache.async_set_max.assert_awaited_once_with(
-        key=counter_key, value=15.0
-    )
+    fake_cache.redis_cache.async_set_max.assert_awaited_once_with(key=counter_key, value=15.0)
 
 
 @pytest.mark.asyncio
@@ -393,9 +378,7 @@ async def test_get_current_spend_floors_window_against_logs_when_row_stale(monke
 
     window_start = datetime(2026, 1, 8, tzinfo=timezone.utc)
     fake_prisma = _make_window_spend_prisma(
-        row=SimpleNamespace(
-            window_start=window_start - timedelta(days=7), spend=999.0
-        ),
+        row=SimpleNamespace(window_start=window_start - timedelta(days=7), spend=999.0),
         spend_logs_total=15.0,
     )
     fake_cache = _make_spend_counter_cache(redis_get_value=2.0)
@@ -423,21 +406,13 @@ async def test_get_current_spend_fail_closed_rejects_when_unverifiable(monkeypat
     rather than admitted on an unverifiable budget."""
     from fastapi import HTTPException
 
-    fake_cache = _make_spend_counter_cache(
-        redis_get_side_effect=RuntimeError("redis down")
-    )
+    fake_cache = _make_spend_counter_cache(redis_get_side_effect=RuntimeError("redis down"))
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
-    monkeypatch.setattr(
-        ps, "general_settings", {"fail_closed_budget_enforcement": True}
-    )
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps, "general_settings", {"fail_closed_budget_enforcement": True})
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None))
 
     with pytest.raises(HTTPException) as exc:
-        await ps.get_current_spend(
-            counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0
-        )
+        await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0)
     assert exc.value.status_code == 503
 
 
@@ -445,18 +420,12 @@ async def test_get_current_spend_fail_closed_rejects_when_unverifiable(monkeypat
 async def test_get_current_spend_fail_closed_off_admits_when_unverifiable(monkeypatch):
     """Default (flag off): an unverifiable read keeps the existing behavior and
     admits using the cached fallback — no new rejection."""
-    fake_cache = _make_spend_counter_cache(
-        redis_get_side_effect=RuntimeError("redis down")
-    )
+    fake_cache = _make_spend_counter_cache(redis_get_side_effect=RuntimeError("redis down"))
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "general_settings", {})
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None))
 
-    result = await ps.get_current_spend(
-        counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0
-    )
+    result = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0)
     assert result == 1.0
 
 
@@ -466,13 +435,9 @@ async def test_get_current_spend_fail_closed_admits_when_redis_verified(monkeypa
     authoritative, so an under-budget request is admitted normally."""
     fake_cache = _make_spend_counter_cache(redis_get_value=1.0)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
-    monkeypatch.setattr(
-        ps, "general_settings", {"fail_closed_budget_enforcement": True}
-    )
+    monkeypatch.setattr(ps, "general_settings", {"fail_closed_budget_enforcement": True})
 
-    result = await ps.get_current_spend(
-        counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0
-    )
+    result = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0)
     assert result == 1.0
 
 
@@ -481,16 +446,10 @@ async def test_get_current_spend_fail_closed_allows_authoritative_fallback(monke
     """End-user/tag callers pass fallback_authoritative=True (their spend is
     loaded fresh from the DB in auth), so fail-closed does not reject them even
     when the counter path is unreadable."""
-    fake_cache = _make_spend_counter_cache(
-        redis_get_side_effect=RuntimeError("redis down")
-    )
+    fake_cache = _make_spend_counter_cache(redis_get_side_effect=RuntimeError("redis down"))
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
-    monkeypatch.setattr(
-        ps, "general_settings", {"fail_closed_budget_enforcement": True}
-    )
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps, "general_settings", {"fail_closed_budget_enforcement": True})
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None))
 
     result = await ps.get_current_spend(
         counter_key="spend:end_user:e1",
@@ -508,9 +467,7 @@ async def test_get_current_spend_strict_floors_when_fallback_also_stale(monkeypa
     re-checks the authoritative DB and enforces against it."""
     fake_cache = _make_spend_counter_cache(redis_get_value=0.00001)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
-    monkeypatch.setattr(
-        ps, "general_settings", {"fail_closed_budget_enforcement": True}
-    )
+    monkeypatch.setattr(ps, "general_settings", {"fail_closed_budget_enforcement": True})
     from_db = AsyncMock(return_value=0.5)
     monkeypatch.setattr(ps.SpendCounterReseed, "from_db", from_db)
 
@@ -532,9 +489,7 @@ async def test_get_current_spend_strict_floors_when_fallback_also_stale(monkeypa
 
 @pytest.mark.asyncio
 async def test_increment_spend_counters_increments_all_buckets(monkeypatch):
-    fake_cache = _make_spend_counter_cache(
-        redis_get_value=None, redis_increment_value=5.0
-    )
+    fake_cache = _make_spend_counter_cache(redis_get_value=None, redis_increment_value=5.0)
     fake_user_cache = _make_user_api_key_cache(get_value=None)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
@@ -543,9 +498,7 @@ async def test_increment_spend_counters_increments_all_buckets(monkeypatch):
     async def _fake_coalesced(**kwargs):
         return None
 
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(side_effect=_fake_coalesced)
-    )
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(side_effect=_fake_coalesced))
 
     await ps.increment_spend_counters(
         token="hashed-tok",
@@ -554,25 +507,36 @@ async def test_increment_spend_counters_increments_all_buckets(monkeypatch):
         response_cost=5.0,
     )
 
+    pipeline = fake_cache.redis_cache.async_increment_pipeline
+    pipeline.assert_awaited_once()
+    increment_list = pipeline.await_args.kwargs["increment_list"]
+    assert {op["key"] for op in increment_list} == {
+        "spend:key:hashed-tok",
+        "spend:team:t1",
+        "spend:team_member:u1:t1",
+        "spend:user:u1",
+    }
+    assert all(op["increment_value"] == 5.0 for op in increment_list)
     observed = {
         "redis_increment_called": fake_cache.redis_cache.async_increment.called,
-        "increment_calls": fake_cache.redis_cache.async_increment.call_count,
+        "pipeline_calls": pipeline.await_count,
         "user_cache_used": fake_user_cache.async_get_cache.called,
     }
     assert normalize(observed) == {
-        "redis_increment_called": True,
-        "increment_calls": 4,
+        "redis_increment_called": False,
+        "pipeline_calls": 1,
         "user_cache_used": True,
     }
 
 
 class _ConcurrencyProbe:
-    """Stand-in for redis_cache.async_increment that pins concurrency.
+    """Stand-in for redis_cache.async_get_cache that pins concurrency.
 
-    Each call registers itself as in-flight and blocks on ``release`` until the
-    test lets it proceed. ``all_arrived`` fires once ``expected`` distinct scope
-    increments are simultaneously suspended here, which can only happen if the
-    per-scope increments are gathered rather than awaited one after another.
+    Each warm-check read registers itself as in-flight and blocks on ``release``
+    until the test lets it proceed. ``all_arrived`` fires once ``expected``
+    distinct scope warm-checks are simultaneously suspended here, which can only
+    happen if the per-scope prepares are gathered rather than awaited one after
+    another.
     """
 
     def __init__(self, expected_concurrency: int):
@@ -581,36 +545,45 @@ class _ConcurrencyProbe:
         self.max_in_flight = 0
         self.all_arrived = asyncio.Event()
         self.release = asyncio.Event()
-        self.values: dict[str, float] = {}
+        self.keys: list[str] = []
 
-    async def async_increment(self, *, key, value, refresh_ttl=True):
+    async def async_get_cache(self, *, key, **kwargs):
         self.in_flight += 1
         self.max_in_flight = max(self.max_in_flight, self.in_flight)
+        self.keys.append(key)
         if self.in_flight >= self.expected:
             self.all_arrived.set()
         if not self.release.is_set():
             await self.release.wait()
         self.in_flight -= 1
-        self.values[key] = self.values.get(key, 0.0) + value
-        return self.values[key]
+        return 1.0
 
 
 @pytest.mark.asyncio
 async def test_increment_spend_counters_runs_scopes_concurrently(monkeypatch):
     """The six independent scopes (key, team, team_member, user, end_user+tags,
-    org) must be incremented concurrently. The probe only fires once all six are
-    suspended in async_increment at the same time, which is impossible if the
+    org) must prepare their increments concurrently. The probe only fires once
+    all eight warm-check reads (one per counter: 6 scopes + 2 tags) are
+    suspended in async_get_cache at the same time, which is impossible if the
     awaits are chained sequentially."""
-    probe = _ConcurrencyProbe(expected_concurrency=6)
-    fake_cache = _make_spend_counter_cache(redis_get_value=None)
-    fake_cache.redis_cache.async_increment = probe.async_increment
+    probe = _ConcurrencyProbe(expected_concurrency=8)
+    fake_cache = _make_spend_counter_cache()
+    fake_cache.redis_cache.async_get_cache = probe.async_get_cache
+    recorded: dict[str, float] = {}
+
+    async def _record_pipeline(increment_list, **_):
+        results = []
+        for op in increment_list:
+            recorded[op["key"]] = recorded.get(op["key"], 0.0) + op["increment_value"]
+            results.append(recorded[op["key"]])
+        return results
+
+    fake_cache.redis_cache.async_increment_pipeline = AsyncMock(side_effect=_record_pipeline)
     fake_user_cache = _make_user_api_key_cache(get_value=None)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
     monkeypatch.setattr(ps, "prisma_client", None)
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None))
 
     task = asyncio.create_task(
         ps.increment_spend_counters(
@@ -630,16 +603,16 @@ async def test_increment_spend_counters_runs_scopes_concurrently(monkeypatch):
         probe.release.set()
         await task
         pytest.fail(
-            "scope increments did not run concurrently; sequential awaits "
-            f"detected (peak in-flight was {probe.max_in_flight}, expected 6)"
+            "scope prepares did not run concurrently; sequential awaits "
+            f"detected (peak in-flight was {probe.max_in_flight}, expected 8)"
         )
 
-    assert probe.in_flight == 6
-    assert probe.max_in_flight == 6
+    assert probe.in_flight == 8
+    assert probe.max_in_flight == 8
     probe.release.set()
     await task
 
-    assert probe.values == {
+    assert recorded == {
         "spend:key:hashed-tok": 5.0,
         "spend:team:t1": 5.0,
         "spend:team_member:u1:t1": 5.0,
@@ -659,26 +632,25 @@ async def test_increment_spend_counters_skips_reserved_counter_keys(monkeypatch)
     import litellm.proxy.spend_tracking.budget_reservation as br
 
     reserved = {"spend:key:hashed-tok", "spend:org:org1"}
-    monkeypatch.setattr(
-        br, "get_reserved_counter_keys", MagicMock(return_value=set(reserved))
-    )
+    monkeypatch.setattr(br, "get_reserved_counter_keys", MagicMock(return_value=set(reserved)))
     monkeypatch.setattr(br, "reconcile_budget_reservation", AsyncMock())
 
     recorded: dict[str, float] = {}
 
-    async def _record_increment(*, key, value, refresh_ttl=True):
-        recorded[key] = recorded.get(key, 0.0) + value
-        return recorded[key]
+    async def _record_pipeline(increment_list, **_):
+        results = []
+        for op in increment_list:
+            recorded[op["key"]] = recorded.get(op["key"], 0.0) + op["increment_value"]
+            results.append(recorded[op["key"]])
+        return results
 
     fake_cache = _make_spend_counter_cache(redis_get_value=None)
-    fake_cache.redis_cache.async_increment = _record_increment
+    fake_cache.redis_cache.async_increment_pipeline = AsyncMock(side_effect=_record_pipeline)
     fake_user_cache = _make_user_api_key_cache(get_value=None)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
     monkeypatch.setattr(ps, "prisma_client", None)
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None))
 
     reservation = {"finalized": False}
     await ps.increment_spend_counters(
@@ -708,27 +680,46 @@ async def test_increment_spend_counters_failing_scope_propagates_after_siblings_
 ):
     """A failure in one scope must propagate to the caller (so it can invalidate
     reserved counters) while every other scope still settles rather than being
-    left as an orphaned background task, and the reservation is not finalized."""
-    recorded: dict[str, float] = {}
+    left as an orphaned background task, and the reservation is not finalized.
+    The surviving scopes' increments are still applied in the single pipeline:
+    dropping them would under-count spend, the unsafe direction for budget
+    enforcement."""
+    warmed_keys: list[str] = []
 
-    async def _increment(*, key, value, refresh_ttl=True):
+    async def _warm_check(*, key, **kwargs):
+        warmed_keys.append(key)
         if key == "spend:team:t1":
-            raise RuntimeError("redis increment failed")
-        recorded[key] = recorded.get(key, 0.0) + value
-        return recorded[key]
+            raise RuntimeError("redis get failed")
+        return 1.0
 
-    fake_cache = _make_spend_counter_cache(redis_get_value=None)
-    fake_cache.redis_cache.async_increment = _increment
+    async def _reseed_fails(*, counter_key, **kwargs):
+        if counter_key == "spend:team:t1":
+            raise RuntimeError("reseed failed")
+
+    applied: dict[str, float] = {}
+
+    async def _record_pipeline(increment_list, **_):
+        results = []
+        for op in increment_list:
+            applied[op["key"]] = op["increment_value"]
+            results.append(op["increment_value"])
+        return results
+
+    fake_cache = _make_spend_counter_cache()
+    fake_cache.redis_cache.async_get_cache = AsyncMock(side_effect=_warm_check)
+    fake_cache.redis_cache.async_increment_pipeline = AsyncMock(side_effect=_record_pipeline)
     fake_user_cache = _make_user_api_key_cache(get_value=None)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
     monkeypatch.setattr(ps, "prisma_client", None)
     monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
+        ps.SpendCounterReseed,
+        "coalesced",
+        AsyncMock(side_effect=_reseed_fails),
     )
 
     reservation = {"finalized": False}
-    with pytest.raises(RuntimeError, match="redis increment failed"):
+    with pytest.raises(RuntimeError, match="reseed failed"):
         await ps.increment_spend_counters(
             token="hashed-tok",
             team_id="t1",
@@ -741,7 +732,19 @@ async def test_increment_spend_counters_failing_scope_propagates_after_siblings_
         )
 
     assert reservation["finalized"] is False
-    assert recorded == {
+    # every sibling scope settled (its warm-check ran) before the error propagated
+    assert set(warmed_keys) == {
+        "spend:key:hashed-tok",
+        "spend:team:t1",
+        "spend:team_member:u1:t1",
+        "spend:user:u1",
+        "spend:end_user:eu1",
+        "spend:tag:a",
+        "spend:org:org1",
+    }
+    # the surviving scopes' increments were still applied, in one pipeline call
+    fake_cache.redis_cache.async_increment_pipeline.assert_awaited_once()
+    assert applied == {
         "spend:key:hashed-tok": 5.0,
         "spend:team_member:u1:t1": 5.0,
         "spend:user:u1": 5.0,
@@ -749,6 +752,7 @@ async def test_increment_spend_counters_failing_scope_propagates_after_siblings_
         "spend:tag:a": 5.0,
         "spend:org:org1": 5.0,
     }
+    fake_cache.redis_cache.async_increment.assert_not_awaited()
 
 
 @pytest.mark.asyncio
@@ -772,6 +776,108 @@ async def test_increment_spend_counters_zero_cost_is_noop_finalizes_reservation(
 
     assert reservation == {"finalized": True}
     assert fake_cache.redis_cache.async_increment.called is False
+    fake_cache.redis_cache.async_increment_pipeline.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_increment_spend_counters_pipelines_all_scopes_in_one_redis_call(
+    monkeypatch,
+):
+    """Every scope's increment must go out in a single async_increment_pipeline
+    call, not one INCRBYFLOAT round-trip per scope."""
+    counter_cache = ps.DualCache()
+    fake_redis = AsyncMock()
+    fake_redis.async_get_cache = AsyncMock(return_value=1.0)  # counters warm
+
+    async def _pipeline(increment_list, **_):
+        return [1.5] * len(increment_list)
+
+    fake_redis.async_increment_pipeline = AsyncMock(side_effect=_pipeline)
+    fake_redis.async_increment = AsyncMock()
+    fake_redis.get_ttl = MagicMock(return_value=None)
+    counter_cache.redis_cache = fake_redis
+    monkeypatch.setattr(ps, "spend_counter_cache", counter_cache)
+    monkeypatch.setattr(ps, "user_api_key_cache", ps.DualCache())
+    monkeypatch.setattr(ps, "prisma_client", None)
+
+    await ps.increment_spend_counters(
+        token="hashed",
+        team_id="team-1",
+        user_id="user-1",
+        response_cost=0.5,
+        org_id="org-1",
+        end_user_id="eu-1",
+        tags=["tag-a", "tag-b"],
+    )
+
+    fake_redis.async_increment_pipeline.assert_awaited_once()
+    assert fake_redis.async_increment.await_count == 0
+    increment_list = fake_redis.async_increment_pipeline.await_args.kwargs["increment_list"]
+    expected_keys = {
+        "spend:key:hashed",
+        "spend:team:team-1",
+        "spend:team_member:user-1:team-1",
+        "spend:user:user-1",
+        "spend:end_user:eu-1",
+        "spend:tag:tag-a",
+        "spend:tag:tag-b",
+        "spend:org:org-1",
+    }
+    assert {op["key"] for op in increment_list} == expected_keys
+    assert all(op["increment_value"] == 0.5 for op in increment_list)
+    for key in expected_keys:
+        assert counter_cache.in_memory_cache.get_cache(key=key) == 1.5
+
+
+@pytest.mark.asyncio
+async def test_increment_spend_counters_pipeline_failure_invalidates_all_counters(
+    monkeypatch,
+):
+    """A failing pipeline must invalidate every pending counter so the next
+    request reseeds from the DB (which already holds this request's cost)
+    instead of trusting a value the write may have partially applied."""
+    from redis.exceptions import MaxConnectionsError
+
+    counter_cache = ps.DualCache()
+    pending_keys = (
+        "spend:key:hashed",
+        "spend:team:team-1",
+        "spend:team_member:user-1:team-1",
+        "spend:user:user-1",
+        "spend:end_user:eu-1",
+        "spend:tag:tag-a",
+        "spend:tag:tag-b",
+        "spend:org:org-1",
+    )
+    for key in pending_keys:
+        counter_cache.in_memory_cache.set_cache(key=key, value=1.0)
+    fake_redis = AsyncMock()
+    fake_redis.async_get_cache = AsyncMock(return_value=1.0)  # counters warm
+    fake_redis.async_increment_pipeline = AsyncMock(side_effect=MaxConnectionsError())
+    fake_redis.async_increment = AsyncMock()
+    fake_redis.async_delete_cache = AsyncMock()
+    fake_redis.get_ttl = MagicMock(return_value=None)
+    counter_cache.redis_cache = fake_redis
+    monkeypatch.setattr(ps, "spend_counter_cache", counter_cache)
+    monkeypatch.setattr(ps, "user_api_key_cache", ps.DualCache())
+    monkeypatch.setattr(ps, "prisma_client", None)
+
+    with pytest.raises(MaxConnectionsError):
+        await ps.increment_spend_counters(
+            token="hashed",
+            team_id="team-1",
+            user_id="user-1",
+            response_cost=0.5,
+            org_id="org-1",
+            end_user_id="eu-1",
+            tags=["tag-a", "tag-b"],
+        )
+
+    assert fake_redis.async_increment.await_count == 0
+    deleted_keys = {call.kwargs["key"] for call in fake_redis.async_delete_cache.await_args_list}
+    assert deleted_keys == set(pending_keys)
+    for key in pending_keys:
+        assert counter_cache.in_memory_cache.get_cache(key=key) is None
 
 
 # ---------------------------------------------------------------------------
@@ -781,9 +887,7 @@ async def test_increment_spend_counters_zero_cost_is_noop_finalizes_reservation(
 
 @pytest.mark.asyncio
 async def test_reconcile_budget_reservation_for_counter_update_returns_empty_set_when_none():
-    result = await ps._reconcile_budget_reservation_for_counter_update(
-        budget_reservation=None, response_cost=1.0
-    )
+    result = await ps._reconcile_budget_reservation_for_counter_update(budget_reservation=None, response_cost=1.0)
     assert result == set()
 
 
@@ -818,179 +922,151 @@ async def test_reconcile_budget_reservation_for_counter_update_failure_invalidat
 
 
 # ---------------------------------------------------------------------------
-# _increment_end_user_and_tag_spend_counters
+# _prepare_end_user_and_tag_spend_increments
 # ---------------------------------------------------------------------------
 
 
 @pytest.mark.asyncio
-async def test_increment_end_user_and_tag_spend_counters_increments_each_unique_tag(
+async def test_prepare_end_user_and_tag_spend_increments_returns_each_unique_tag(
     monkeypatch,
 ):
-    fake_cache = _make_spend_counter_cache(
-        redis_get_value=None, redis_increment_value=3.0
-    )
+    fake_cache = _make_spend_counter_cache(redis_get_value=1.0)
     fake_user_cache = _make_user_api_key_cache()
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
     monkeypatch.setattr(ps, "prisma_client", None)
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None))
 
-    await ps._increment_end_user_and_tag_spend_counters(
+    pending = await ps._prepare_end_user_and_tag_spend_increments(
         end_user_id="eu1",
         tags=["a", "b", "a", "", None],
         response_cost=3.0,
         reserved_counter_keys=set(),
     )
 
-    observed = {
-        "increment_calls": fake_cache.redis_cache.async_increment.call_count,
-        "in_memory_set_calls": fake_cache.in_memory_cache.set_cache.call_count,
-        "called": fake_cache.redis_cache.async_increment.called,
-    }
-    assert normalize(observed) == {
-        "increment_calls": 3,
-        "in_memory_set_calls": 3,
-        "called": True,
+    assert {item.counter_key for item in pending} == {
+        "spend:end_user:eu1",
+        "spend:tag:a",
+        "spend:tag:b",
     }
+    assert all(item.increment == 3.0 for item in pending)
 
 
 @pytest.mark.asyncio
-async def test_increment_end_user_and_tag_spend_counters_no_end_user_no_tags_invalid_input_noop(
+async def test_prepare_end_user_and_tag_spend_increments_no_end_user_no_tags_invalid_input_noop(
     monkeypatch,
 ):
     fake_cache = _make_spend_counter_cache()
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
 
-    await ps._increment_end_user_and_tag_spend_counters(
+    pending = await ps._prepare_end_user_and_tag_spend_increments(
         end_user_id=None,
         tags=None,
         response_cost=1.0,
         reserved_counter_keys=set(),
     )
 
+    assert pending == ()
     assert fake_cache.redis_cache.async_increment.called is False
 
 
 # ---------------------------------------------------------------------------
-# _increment_org_spend_counter
+# _prepare_org_spend_increment
 # ---------------------------------------------------------------------------
 
 
 @pytest.mark.asyncio
-async def test_increment_org_spend_counter_increments_when_org_present(monkeypatch):
-    fake_cache = _make_spend_counter_cache(
-        redis_get_value=None, redis_increment_value=10.0
-    )
+async def test_prepare_org_spend_increment_returns_pending_when_org_present(monkeypatch):
+    fake_cache = _make_spend_counter_cache(redis_get_value=1.0)
     fake_user_cache = _make_user_api_key_cache()
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
     monkeypatch.setattr(ps, "prisma_client", None)
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None))
 
-    await ps._increment_org_spend_counter(
+    pending = await ps._prepare_org_spend_increment(
         org_id="org-1",
         response_cost=10.0,
         reserved_counter_keys=set(),
     )
 
-    observed = {
-        "increment_called": fake_cache.redis_cache.async_increment.called,
-        "increment_calls": fake_cache.redis_cache.async_increment.call_count,
-        "counter_key_arg": fake_cache.redis_cache.async_increment.call_args.kwargs[
-            "key"
-        ],
-    }
-    assert normalize(observed) == {
-        "increment_called": True,
-        "increment_calls": 1,
-        "counter_key_arg": "spend:org:org-1",
-    }
+    assert len(pending) == 1
+    assert pending[0].counter_key == "spend:org:org-1"
+    assert pending[0].increment == 10.0
 
 
 @pytest.mark.asyncio
-async def test_increment_org_spend_counter_no_org_is_noop_invalid_id(monkeypatch):
+async def test_prepare_org_spend_increment_no_org_is_noop_invalid_id(monkeypatch):
     fake_cache = _make_spend_counter_cache()
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
 
-    await ps._increment_org_spend_counter(
+    pending = await ps._prepare_org_spend_increment(
         org_id=None,
         response_cost=1.0,
         reserved_counter_keys=set(),
     )
 
+    assert pending == ()
     assert fake_cache.redis_cache.async_increment.called is False
 
 
 # ---------------------------------------------------------------------------
-# _init_and_increment_unreserved_spend_counter
+# _prepare_unreserved_spend_counter_increment
 # ---------------------------------------------------------------------------
 
 
 @pytest.mark.asyncio
-async def test_init_and_increment_unreserved_spend_counter_skips_reserved_keys(
+async def test_prepare_unreserved_spend_counter_increment_skips_reserved_keys(
     monkeypatch,
 ):
     fake_cache = _make_spend_counter_cache()
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
 
-    await ps._init_and_increment_unreserved_spend_counter(
+    pending = await ps._prepare_unreserved_spend_counter_increment(
         counter_key="spend:tag:x",
         source_cache_key="tag:x",
         increment=1.0,
         reserved_counter_keys={"spend:tag:x"},
     )
 
+    assert pending is None
     assert fake_cache.redis_cache.async_increment.called is False
 
 
 @pytest.mark.asyncio
-async def test_init_and_increment_unreserved_spend_counter_proceeds_when_not_reserved(
+async def test_prepare_unreserved_spend_counter_increment_proceeds_when_not_reserved(
     monkeypatch,
 ):
-    fake_cache = _make_spend_counter_cache(
-        redis_get_value=None, redis_increment_value=2.0
-    )
+    fake_cache = _make_spend_counter_cache(redis_get_value=None)
     fake_user_cache = _make_user_api_key_cache()
+    reseed = AsyncMock(return_value=None)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
     monkeypatch.setattr(ps, "prisma_client", None)
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", reseed)
 
-    await ps._init_and_increment_unreserved_spend_counter(
+    pending = await ps._prepare_unreserved_spend_counter_increment(
         counter_key="spend:tag:y",
         source_cache_key="tag:y",
         increment=2.0,
         reserved_counter_keys=set(),
     )
 
-    observed = {
-        "increment_called": fake_cache.redis_cache.async_increment.called,
-        "redis_get_called": fake_cache.redis_cache.async_get_cache.called,
-        "reseed_consulted": True,
-    }
-    assert observed == {
-        "increment_called": True,
-        "redis_get_called": True,
-        "reseed_consulted": True,
-    }
+    assert pending is not None
+    assert pending.counter_key == "spend:tag:y"
+    assert pending.increment == 2.0
+    assert fake_cache.redis_cache.async_get_cache.called is True
+    assert reseed.called is True
 
 
 # ---------------------------------------------------------------------------
-# _init_and_increment_spend_counter
+# _prepare_spend_counter_increment
 # ---------------------------------------------------------------------------
 
 
 @pytest.mark.asyncio
-async def test_init_and_increment_spend_counter_warm_cache_skips_reseed(monkeypatch):
-    fake_cache = _make_spend_counter_cache(
-        redis_get_value=11.0, redis_increment_value=14.0
-    )
+async def test_prepare_spend_counter_increment_warm_cache_skips_reseed(monkeypatch):
+    fake_cache = _make_spend_counter_cache(redis_get_value=11.0)
     fake_user_cache = _make_user_api_key_cache()
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
@@ -998,12 +1074,14 @@ async def test_init_and_increment_spend_counter_warm_cache_skips_reseed(monkeypa
     reseed = AsyncMock(return_value=None)
     monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", reseed)
 
-    await ps._init_and_increment_spend_counter(
+    pending = await ps._prepare_spend_counter_increment(
         counter_key="spend:key:k",
         source_cache_key="k",
         increment=3.0,
     )
 
+    assert pending.counter_key == "spend:key:k"
+    assert pending.increment == 3.0
     observed = {
         "reseed_called": reseed.called,
         "increment_called": fake_cache.redis_cache.async_increment.called,
@@ -1011,23 +1089,21 @@ async def test_init_and_increment_spend_counter_warm_cache_skips_reseed(monkeypa
     }
     assert normalize(observed) == {
         "reseed_called": False,
-        "increment_called": True,
+        "increment_called": False,
         "in_memory_seeded_from_redis": True,
     }
 
 
 # ---------------------------------------------------------------------------
-# _init_and_increment_window_spend_counter
+# _prepare_window_spend_counter_increment
 # ---------------------------------------------------------------------------
 
 
 @pytest.mark.asyncio
-async def test_init_and_increment_window_spend_counter_increments_when_initialized(
+async def test_prepare_window_spend_counter_increment_returns_pending_when_initialized(
     monkeypatch,
 ):
-    fake_cache = _make_spend_counter_cache(
-        redis_get_value=0.0, redis_increment_value=5.0
-    )
+    fake_cache = _make_spend_counter_cache(redis_get_value=0.0)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "prisma_client", None)
     monkeypatch.setattr(
@@ -1036,7 +1112,7 @@ async def test_init_and_increment_window_spend_counter_increments_when_initializ
         AsyncMock(return_value=0.0),
     )
 
-    await ps._init_and_increment_window_spend_counter(
+    pending = await ps._prepare_window_spend_counter_increment(
         counter_key="spend:key:k:window:1d",
         entity_type="Key",
         entity_id="k",
@@ -1045,26 +1121,19 @@ async def test_init_and_increment_window_spend_counter_increments_when_initializ
         increment=5.0,
     )
 
-    observed = {
-        "redis_increment_called": fake_cache.redis_cache.async_increment.called,
-        "increment_calls": fake_cache.redis_cache.async_increment.call_count,
-        "in_memory_set_calls": fake_cache.in_memory_cache.set_cache.call_count,
-    }
-    assert normalize(observed) == {
-        "redis_increment_called": True,
-        "increment_calls": 1,
-        "in_memory_set_calls": 2,
-    }
+    assert pending is not None
+    assert pending.counter_key == "spend:key:k:window:1d"
+    assert pending.increment == 5.0
 
 
 @pytest.mark.asyncio
-async def test_init_and_increment_window_spend_counter_missing_window_start_invalid_skips(
+async def test_prepare_window_spend_counter_increment_missing_window_start_invalid_skips(
     monkeypatch,
 ):
     fake_cache = _make_spend_counter_cache()
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
 
-    await ps._init_and_increment_window_spend_counter(
+    pending = await ps._prepare_window_spend_counter_increment(
         counter_key="spend:key:k:window:1d",
         entity_type="Key",
         entity_id="k",
@@ -1073,6 +1142,7 @@ async def test_init_and_increment_window_spend_counter_missing_window_start_inva
         increment=5.0,
     )
 
+    assert pending is None
     assert fake_cache.redis_cache.async_increment.called is False
 
 
@@ -1114,16 +1184,12 @@ async def test_ensure_spend_counter_initialized_warm_skips_reseed_and_source(
 async def test_ensure_spend_counter_initialized_cold_seeds_from_source_cache(
     monkeypatch,
 ):
-    fake_cache = _make_spend_counter_cache(
-        redis_get_value=None, redis_increment_value=7.0
-    )
+    fake_cache = _make_spend_counter_cache(redis_get_value=None, redis_increment_value=7.0)
     fake_user_cache = _make_user_api_key_cache(get_value={"spend": 7.0})
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
     monkeypatch.setattr(ps, "prisma_client", None)
-    monkeypatch.setattr(
-        ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)
-    )
+    monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None))
 
     await ps._ensure_spend_counter_initialized(
         counter_key="spend:user:u",
@@ -1163,9 +1229,7 @@ async def test_get_source_cache_base_spend_reads_first_hit_from_list(monkeypatch
     fake_user_cache.async_get_cache = AsyncMock(side_effect=_get)
     monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache)
 
-    result = await ps._get_source_cache_base_spend(
-        source_cache_key=["miss", "hit-obj", "miss2"]
-    )
+    result = await ps._get_source_cache_base_spend(source_cache_key=["miss", "hit-obj", "miss2"])
 
     observed = {
         "result": result,
@@ -1294,9 +1358,7 @@ async def test_increment_spend_counter_cache_redis_path_returns_new_value(monkey
     fake_cache = _make_spend_counter_cache(redis_increment_value=44.0)
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
 
-    result = await ps._increment_spend_counter_cache(
-        counter_key="spend:key:k", increment=4.0
-    )
+    result = await ps._increment_spend_counter_cache(counter_key="spend:key:k", increment=4.0)
 
     observed = {
         "result": result,
@@ -1314,15 +1376,11 @@ async def test_increment_spend_counter_cache_redis_path_returns_new_value(monkey
 async def test_increment_spend_counter_cache_redis_error_raises_and_invalidates(
     monkeypatch,
 ):
-    fake_cache = _make_spend_counter_cache(
-        redis_increment_side_effect=RuntimeError("incr fail")
-    )
+    fake_cache = _make_spend_counter_cache(redis_increment_side_effect=RuntimeError("incr fail"))
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
 
     with pytest.raises(RuntimeError):
-        await ps._increment_spend_counter_cache(
-            counter_key="spend:key:k", increment=1.0
-        )
+        await ps._increment_spend_counter_cache(counter_key="spend:key:k", increment=1.0)
 
     assert fake_cache.in_memory_cache.delete_cache.called is True
     assert fake_cache.redis_cache.async_delete_cache.called is True
@@ -1343,9 +1401,7 @@ async def test_invalidate_spend_counter_deletes_in_memory_and_redis(monkeypatch)
     observed = {
         "in_memory_delete_called": fake_cache.in_memory_cache.delete_cache.called,
         "redis_delete_called": fake_cache.redis_cache.async_delete_cache.called,
-        "delete_args_key": fake_cache.redis_cache.async_delete_cache.call_args.kwargs[
-            "key"
-        ],
+        "delete_args_key": fake_cache.redis_cache.async_delete_cache.call_args.kwargs["key"],
     }
     assert normalize(observed) == {
         "in_memory_delete_called": True,
@@ -1357,9 +1413,7 @@ async def test_invalidate_spend_counter_deletes_in_memory_and_redis(monkeypatch)
 @pytest.mark.asyncio
 async def test_invalidate_spend_counter_swallows_redis_failure_no_raise(monkeypatch):
     fake_cache = _make_spend_counter_cache()
-    fake_cache.redis_cache.async_delete_cache = AsyncMock(
-        side_effect=RuntimeError("redis down")
-    )
+    fake_cache.redis_cache.async_delete_cache = AsyncMock(side_effect=RuntimeError("redis down"))
     monkeypatch.setattr(ps, "spend_counter_cache", fake_cache)
 
     await ps._invalidate_spend_counter(counter_key="spend:key:k")
diff --git a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation_redis_failure.py b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation_redis_failure.py
index c123eeeed36..6165af4920d 100644
--- a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation_redis_failure.py
+++ b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation_redis_failure.py
@@ -41,6 +41,15 @@ class _FlakyRedisCache:
         self._store[key] = float(value)
         return True
 
+    async def async_increment_pipeline(self, increment_list, **kwargs):
+        results = []
+        for op in increment_list:
+            results.append(await self.async_increment(op["key"], op["increment_value"]))
+        return results
+
+    def get_ttl(self, **kwargs):
+        return None
+
 
 @pytest.mark.asyncio
 async def test_direct_increment_runs_when_reservation_reconcile_hits_redis_failure(
diff --git a/tests/test_litellm/proxy/test_budget_reservation.py b/tests/test_litellm/proxy/test_budget_reservation.py
index 6dab054d8ea..40ebc03781c 100644
--- a/tests/test_litellm/proxy/test_budget_reservation.py
+++ b/tests/test_litellm/proxy/test_budget_reservation.py
@@ -2220,6 +2220,15 @@ class _ExpiringRedisCache:
     async def async_delete_cache(self, key: str, *args: object, **kwargs: object) -> None:
         self.store.pop(key, None)
 
+    async def async_increment_pipeline(self, increment_list, **kwargs):
+        results = []
+        for op in increment_list:
+            results.append(await self.async_increment(op["key"], op["increment_value"]))
+        return results
+
+    def get_ttl(self, **kwargs) -> None:
+        return None
+
 
 @pytest.mark.asyncio
 async def test_reconcile_after_redis_counter_expiry_keeps_request_cost_enforced(
diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py
index 54579e6cb7c..b0f38978727 100644
--- a/tests/test_litellm/proxy/test_proxy_server.py
+++ b/tests/test_litellm/proxy/test_proxy_server.py
@@ -7749,7 +7749,7 @@ async def test_increment_spend_counters_team_and_member():
 
 
 @pytest.mark.asyncio
-async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss():
+async def test_prepare_spend_counter_increment_reseeds_from_db_on_counter_miss():
     """When the Redis counter is missing, the reseed path reads the
     authoritative spend from the DB (not a stale cache), so the next
     increment continues from the correct base value."""
@@ -7762,8 +7762,17 @@ async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss(
         recorded_increments.append({"key": key, "value": value, "ttl": ttl})
         return value
 
+    async def record_pipeline(increment_list, **kwargs):
+        results = []
+        for op in increment_list:
+            await record_increment(key=op["key"], value=op["increment_value"], ttl=op["ttl"])
+            results.append(op["increment_value"])
+        return results
+
     fake_redis = AsyncMock()
     fake_redis.async_increment = AsyncMock(side_effect=record_increment)
+    fake_redis.async_increment_pipeline = AsyncMock(side_effect=record_pipeline)
+    fake_redis.get_ttl = MagicMock(return_value=None)
     fake_redis.async_get_cache = AsyncMock(return_value=None)  # counter missing
     fake_redis.async_set_cache = AsyncMock(return_value=True)  # SET NX wins
     counter_cache.redis_cache = fake_redis
@@ -7782,7 +7791,10 @@ async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss(
     stale_cache.in_memory_cache.set_cache(key="team_id:team-9", value=stale_team)
 
     import litellm.proxy.proxy_server as ps
-    from litellm.proxy.proxy_server import _init_and_increment_spend_counter
+    from litellm.proxy.proxy_server import (
+        _apply_spend_counter_increments,
+        _prepare_spend_counter_increment,
+    )
 
     orig_user, orig_counter, orig_prisma = (
         ps.user_api_key_cache,
@@ -7793,11 +7805,12 @@ async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss(
     ps.spend_counter_cache = counter_cache
     ps.prisma_client = fake_prisma
     try:
-        await _init_and_increment_spend_counter(
+        pending = await _prepare_spend_counter_increment(
             counter_key="spend:team:team-9",
             source_cache_key="team_id:team-9",
             increment=1.5,
         )
+        await _apply_spend_counter_increments(pending=(pending,))
 
         fake_prisma.db.litellm_teamtable.find_unique.assert_awaited_once_with(where={"team_id": "team-9"})
         # Seed uses SET NX with db_spend (42) — cross-pod safe, no INCR of 42.
@@ -7976,7 +7989,10 @@ async def test_reseed_spend_from_db_skips_window_variant_keys():
 @pytest.mark.asyncio
 async def test_window_spend_counter_reseeds_from_spend_logs_on_counter_miss():
     from litellm.caching.dual_cache import DualCache
-    from litellm.proxy.proxy_server import _init_and_increment_window_spend_counter
+    from litellm.proxy.proxy_server import (
+        _apply_spend_counter_increments,
+        _prepare_window_spend_counter_increment,
+    )
 
     counter_cache = DualCache()
     window_start = datetime.now(timezone.utc) - timedelta(hours=1)
@@ -7992,7 +8008,7 @@ async def test_window_spend_counter_reseeds_from_spend_logs_on_counter_miss():
     ps.spend_counter_cache = counter_cache
     ps.prisma_client = fake_prisma
     try:
-        await _init_and_increment_window_spend_counter(
+        pending = await _prepare_window_spend_counter_increment(
             counter_key="spend:key:key-window:window:1h",
             entity_type="Key",
             entity_id="key-window",
@@ -8000,6 +8016,7 @@ async def test_window_spend_counter_reseeds_from_spend_logs_on_counter_miss():
             window_start=window_start,
             increment=0.5,
         )
+        await _apply_spend_counter_increments(pending=(pending,) if pending is not None else ())
 
         fake_prisma.db.litellm_spendlogs.group_by.assert_awaited_once_with(
             by=["api_key"],
@@ -8015,7 +8032,10 @@ async def test_window_spend_counter_reseeds_from_spend_logs_on_counter_miss():
 @pytest.mark.asyncio
 async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory():
     from litellm.caching.dual_cache import DualCache
-    from litellm.proxy.proxy_server import _init_and_increment_spend_counter
+    from litellm.proxy.proxy_server import (
+        _apply_spend_counter_increments,
+        _prepare_spend_counter_increment,
+    )
 
     counter_cache = DualCache()
     counter_key = "spend:team:team-stale-local"
@@ -8037,6 +8057,15 @@ async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory():
     fake_redis.async_get_cache = AsyncMock(return_value=None)
     fake_redis.async_increment = AsyncMock(side_effect=redis_increment)
     fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache)
+
+    async def redis_increment_pipeline(increment_list, **_):
+        results = []
+        for op in increment_list:
+            results.append(await redis_increment(key=op["key"], value=op["increment_value"]))
+        return results
+
+    fake_redis.async_increment_pipeline = AsyncMock(side_effect=redis_increment_pipeline)
+    fake_redis.get_ttl = MagicMock(return_value=None)
     counter_cache.redis_cache = fake_redis
 
     db_row = MagicMock()
@@ -8055,11 +8084,12 @@ async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory():
     ps.prisma_client = fake_prisma
     ps.user_api_key_cache = DualCache()
     try:
-        await _init_and_increment_spend_counter(
+        pending = await _prepare_spend_counter_increment(
             counter_key=counter_key,
             source_cache_key="team_id:team-stale-local",
             increment=1.5,
         )
+        await _apply_spend_counter_increments(pending=(pending,))
 
         fake_prisma.db.litellm_teamtable.find_unique.assert_awaited_once_with(where={"team_id": "team-stale-local"})
         # Seed via SET NX (42) + delta via INCRBYFLOAT (1.5) = 43.5.
@@ -8074,7 +8104,10 @@ async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory():
 @pytest.mark.asyncio
 async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory():
     from litellm.caching.dual_cache import DualCache
-    from litellm.proxy.proxy_server import _init_and_increment_window_spend_counter
+    from litellm.proxy.proxy_server import (
+        _apply_spend_counter_increments,
+        _prepare_window_spend_counter_increment,
+    )
 
     counter_cache = DualCache()
     counter_key = "spend:key:key-window-stale-local:window:1h"
@@ -8097,6 +8130,15 @@ async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory():
     fake_redis.async_get_cache = AsyncMock(return_value=None)
     fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache)
     fake_redis.async_increment = AsyncMock(side_effect=redis_increment)
+
+    async def redis_increment_pipeline(increment_list, **_):
+        results = []
+        for op in increment_list:
+            results.append(await redis_increment(key=op["key"], value=op["increment_value"]))
+        return results
+
+    fake_redis.async_increment_pipeline = AsyncMock(side_effect=redis_increment_pipeline)
+    fake_redis.get_ttl = MagicMock(return_value=None)
     counter_cache.redis_cache = fake_redis
 
     fake_prisma = MagicMock()
@@ -8111,7 +8153,7 @@ async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory():
     ps.spend_counter_cache = counter_cache
     ps.prisma_client = fake_prisma
     try:
-        await _init_and_increment_window_spend_counter(
+        pending = await _prepare_window_spend_counter_increment(
             counter_key=counter_key,
             entity_type="Key",
             entity_id="key-window-stale-local",
@@ -8119,6 +8161,7 @@ async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory():
             window_start=window_start,
             increment=0.5,
         )
+        await _apply_spend_counter_increments(pending=(pending,) if pending is not None else ())
 
         fake_prisma.db.litellm_spendlogs.group_by.assert_awaited_once_with(
             by=["api_key"],
@@ -8138,7 +8181,10 @@ async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory():
 @pytest.mark.asyncio
 async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed():
     from litellm.caching.dual_cache import DualCache
-    from litellm.proxy.proxy_server import _init_and_increment_window_spend_counter
+    from litellm.proxy.proxy_server import (
+        _apply_spend_counter_increments,
+        _prepare_window_spend_counter_increment,
+    )
 
     counter_cache = DualCache()
     counter_key = "spend:key:key-window-concurrent-seed:window:1h"
@@ -8161,6 +8207,15 @@ async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed()
     fake_redis.async_get_cache = AsyncMock(side_effect=redis_get_cache)
     fake_redis.async_set_cache = AsyncMock(return_value=False)
     fake_redis.async_increment = AsyncMock(side_effect=redis_increment)
+
+    async def redis_increment_pipeline(increment_list, **_):
+        results = []
+        for op in increment_list:
+            results.append(await redis_increment(key=op["key"], value=op["increment_value"]))
+        return results
+
+    fake_redis.async_increment_pipeline = AsyncMock(side_effect=redis_increment_pipeline)
+    fake_redis.get_ttl = MagicMock(return_value=None)
     counter_cache.redis_cache = fake_redis
 
     fake_prisma = MagicMock()
@@ -8175,7 +8230,7 @@ async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed()
     ps.spend_counter_cache = counter_cache
     ps.prisma_client = fake_prisma
     try:
-        await _init_and_increment_window_spend_counter(
+        pending = await _prepare_window_spend_counter_increment(
             counter_key=counter_key,
             entity_type="Key",
             entity_id="key-window-concurrent-seed",
@@ -8183,6 +8238,7 @@ async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed()
             window_start=window_start,
             increment=0.5,
         )
+        await _apply_spend_counter_increments(pending=(pending,) if pending is not None else ())
 
         fake_redis.async_set_cache.assert_awaited_once_with(
             key=counter_key,
@@ -8199,7 +8255,7 @@ async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed()
 @pytest.mark.asyncio
 async def test_window_spend_counter_skips_invalid_window_start():
     from litellm.caching.dual_cache import DualCache
-    from litellm.proxy.proxy_server import _init_and_increment_window_spend_counter
+    from litellm.proxy.proxy_server import _prepare_window_spend_counter_increment
 
     counter_cache = DualCache()
 
@@ -8208,7 +8264,7 @@ async def test_window_spend_counter_skips_invalid_window_start():
     orig_counter = ps.spend_counter_cache
     ps.spend_counter_cache = counter_cache
     try:
-        await _init_and_increment_window_spend_counter(
+        pending = await _prepare_window_spend_counter_increment(
             counter_key="spend:key:key-invalid-window:window:not-a-duration",
             entity_type="Key",
             entity_id="key-invalid-window",
@@ -8216,6 +8272,7 @@ async def test_window_spend_counter_skips_invalid_window_start():
             window_start=None,
             increment=0.5,
         )
+        assert pending is None
 
         assert counter_cache.in_memory_cache.get_cache(key="spend:key:key-invalid-window:window:not-a-duration") is None
     finally:
@@ -8279,6 +8336,9 @@ async def test_increment_spend_counters_finalizes_after_unreserved_increments():
     async def assert_reservation_not_finalized_yet(**kwargs):
         assert budget_reservation["finalized"] is False
         incremented_counters.append(kwargs["counter_key"])
+        return ps._PendingSpendIncrement(
+            counter_key=kwargs["counter_key"], increment=kwargs["increment"]
+        )
 
     import litellm.proxy.proxy_server as ps
 
@@ -8287,7 +8347,7 @@ async def test_increment_spend_counters_finalizes_after_unreserved_increments():
     ps.user_api_key_cache = DualCache()
     try:
         with patch(
-            "litellm.proxy.proxy_server._init_and_increment_spend_counter",
+            "litellm.proxy.proxy_server._prepare_spend_counter_increment",
             new=AsyncMock(side_effect=assert_reservation_not_finalized_yet),
         ):
             await increment_spend_counters(
@@ -8620,7 +8680,7 @@ async def test_get_current_spend_uses_db_zero_over_stale_fallback():
 async def test_concurrent_read_and_write_paths_share_one_db_query():
     """
     The read path (`get_current_spend`) and the write path
-    (`_init_and_increment_spend_counter`) both reseed cold counters from
+    (`_prepare_spend_counter_increment`) both reseed cold counters from
     the DB. They must share the per-counter lock so a concurrent pre-call
     enforcement read and post-call increment for the same counter collapse
     to one DB query, not two.
@@ -8629,7 +8689,7 @@ async def test_concurrent_read_and_write_paths_share_one_db_query():
 
     from litellm.caching.dual_cache import DualCache
     from litellm.proxy.proxy_server import (
-        _init_and_increment_spend_counter,
+        _prepare_spend_counter_increment,
         get_current_spend,
     )
 
@@ -8683,7 +8743,7 @@ async def test_concurrent_read_and_write_paths_share_one_db_query():
     try:
         results = await _asyncio.gather(
             get_current_spend(counter_key=counter_key, fallback_spend=0.0),
-            _init_and_increment_spend_counter(
+            _prepare_spend_counter_increment(
                 counter_key=counter_key,
                 source_cache_key="ignored",
                 increment=1.5,

From 7c6e33ef70889445fab5650b1490ddf3c0448a11 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Wed, 9 Sep 2026 10:38:26 -0700
Subject: [PATCH 210/223] fix(proxy): ignore team_id="" on /key/update so
 team-less keys can be updated and imported (#40421)

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/proxy/_types.py                       |  8 ++++++
 .../test_key_management_endpoints.py          | 26 +++++++++++++++++++
 2 files changed, 34 insertions(+)

diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index df7ee8f508c..0e2fd50ac9f 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -3,6 +3,7 @@ import json
 import os
 from collections.abc import Callable, Mapping
 from datetime import datetime
+from types import MappingProxyType
 from typing import TYPE_CHECKING, Any, Final, Literal, NamedTuple
 
 import httpx
@@ -1294,6 +1295,13 @@ class UpdateKeyRequest(KeyRequestBase):
     rotation_interval: str | None = None
     organization_id: str | None = None
 
+    @model_validator(mode="before")
+    @classmethod
+    def drop_blank_team_id(cls, values: object) -> object:
+        if isinstance(values, Mapping) and values.get("team_id") == "":
+            return MappingProxyType({k: v for k, v in values.items() if k != "team_id"})
+        return values
+
     @field_validator("organization_id", mode="before")
     @classmethod
     def treat_cleared_organization_id_as_unset(cls, v: object) -> object:
diff --git a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
index a873a367eab..d2aeba18f7d 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
@@ -17975,6 +17975,32 @@ def test_key_request_blank_organization_id_is_unset():
     assert UpdateKeyRequest(key="sk-1", organization_id="org-1").organization_id == "org-1"
 
 
+def test_update_key_request_blank_team_id_is_not_a_team_change():
+    from litellm.proxy._types import UpdateKeyRequest
+    from litellm.proxy.management_endpoints.key_management_endpoints import (
+        is_different_team,
+    )
+
+    blank = UpdateKeyRequest(key="sk-1", team_id="", key_alias="renamed")
+    assert blank.team_id is None
+    assert "team_id" not in blank.model_dump(exclude_unset=True)
+    assert blank.model_dump(exclude_unset=True) == {"key": "sk-1", "key_alias": "renamed"}
+    assert is_different_team(data=blank, existing_key_row=LiteLLM_VerificationToken(token="hashed")) is False
+    assert (
+        is_different_team(data=blank, existing_key_row=LiteLLM_VerificationToken(token="hashed", team_id="team-1"))
+        is False
+    )
+    assert "team_id" in UpdateKeyRequest(key="sk-1", team_id=None).model_dump(exclude_unset=True)
+    assert UpdateKeyRequest(key="sk-1", team_id="team-1").team_id == "team-1"
+    assert (
+        is_different_team(
+            data=UpdateKeyRequest(key="sk-1", team_id="team-1"),
+            existing_key_row=LiteLLM_VerificationToken(token="hashed"),
+        )
+        is True
+    )
+
+
 def test_key_generation_check_blank_team_id_uses_personal_permissions(monkeypatch):
     """key_generation_check with team_id="" must take the personal-key path instead
     of failing the team lookup with "Unable to find team object" (LIT-3925)."""

From 699ae63b2a3270ab8b1068f8beba4a3bf71543b9 Mon Sep 17 00:00:00 2001
From: Clement <clement.ho@paradigm.co>
Date: Thu, 10 Sep 2026 01:47:34 +0800
Subject: [PATCH 211/223] feat(router): support percentile-based TTFT routing
 (#40352)

* feat(router): support percentile-based TTFT routing

* fix(router): apply routing_strategy_args updates to the live selector

Runtime routing_strategy_args updates (config reload, update_settings)
only rebuilt the strategy selector when routing_strategy itself changed,
so a newly added ttft_percentile sat unused until the proxy restarted.

Also drops a comment that only restated the code it sat above.

Claude-Session: https://claude.ai/code/session_01PmqjhFYcUh6vA72d8W9gdB

* refactor(router): drop unreachable empty-samples guard in percentile latency

_percentile_latency is only called behind use_ttft, which already requires
a non-empty ttft sample list, so the early return was dead code and the one
line Codecov flagged as uncovered on this patch.

Claude-Session: https://claude.ai/code/session_01PmqjhFYcUh6vA72d8W9gdB

* test(router): cover the no-selector path of a routing_strategy_args update

simple-shuffle has no selector attribute to re-link, so the early return
guards a setattr with a None attribute name. Dropping the guard makes the
new test fail with "attribute name must be string, not 'NoneType'".

Claude-Session: https://claude.ai/code/session_01PmqjhFYcUh6vA72d8W9gdB

* fix(test): assert ValidationError on out-of-range ttft_percentile

pytest.raises(ValueError) tripped PT011 for being too broad. Pydantic
raises ValidationError for the gt/le constraint, so naming it satisfies
the rule and pins the assertion to the constraint under test.

Claude-Session: https://claude.ai/code/session_01PmqjhFYcUh6vA72d8W9gdB

* fix(router): drop Final from a per-deployment loop variable

basedpyright rejects "A Final variable cannot be assigned within a loop",
which pushed reportGeneralTypeIssues one over its budget. selected_latency
is rebound each iteration, so it matches its unannotated neighbours in the
same loop.

Claude-Session: https://claude.ai/code/session_01PmqjhFYcUh6vA72d8W9gdB

* test(router): exempt _apply_updated_routing_strategy_args from the name scan

The scan only reads test files with "router" in the filename, so it cannot
see the update_settings tests in router_strategy/test_lowest_latency.py.
Calling the private helper directly would test structure rather than
behaviour, so it joins the existing entries ignored for the same reason.

Claude-Session: https://claude.ai/code/session_01PmqjhFYcUh6vA72d8W9gdB
---
 litellm/router.py                             |  47 ++++-
 litellm/router_strategy/lowest_latency.py     |  21 ++-
 .../router_code_coverage.py                   |   1 +
 .../router_strategy/test_lowest_latency.py    | 174 +++++++++++++++++-
 4 files changed, 225 insertions(+), 18 deletions(-)

diff --git a/litellm/router.py b/litellm/router.py
index 934a4ac86a9..2fbdf541487 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -1317,6 +1317,43 @@ class Router:
         if isinstance(litellm.input_callback, list):
             litellm.input_callback = [c for c in litellm.input_callback if id(c) not in selector_ids]
 
+    def _apply_updated_routing_strategy_args(self) -> None:
+        """
+        Re-link the default group's selector to the current `routing_strategy_args`.
+
+        Selectors freeze their `RoutingArgs` at construction, so a runtime args
+        update would otherwise keep serving the boot-time values until restart.
+        Latency/usage state survives the rebuild: it lives in the shared router
+        cache, not on the selector.
+        """
+        strategy: Final = self._normalize_strategy(self.routing_strategy)
+        if strategy == "lar1":
+            from litellm.router_strategy.lar1_routing import apply_lar1_routing_strategy
+
+            apply_lar1_routing_strategy(self, self.routing_strategy_args)
+            return
+
+        attr: Final = self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.get(strategy or "")
+        current: Final = getattr(self, attr, None) if attr is not None else None
+        if attr is None or current is None:
+            return
+
+        try:
+            rebuilt: Final = self._build_strategy_selector(
+                strategy=strategy or "",
+                routing_strategy_args=self.routing_strategy_args,
+            )
+        except (TypeError, ValidationError):
+            verbose_router_logger.exception(
+                "Invalid routing_strategy_args %s for '%s'; keeping the previous ones",
+                self.routing_strategy_args,
+                strategy,
+            )
+            return
+
+        self._unregister_router_selectors((current,))
+        setattr(self, attr, rebuilt)
+
     def routing_strategy_init(self, routing_strategy: RoutingStrategy | str, routing_strategy_args: dict):
         verbose_router_logger.info("Routing strategy: %s", routing_strategy)
         self._validate_routing_strategy(routing_strategy)
@@ -11847,7 +11884,7 @@ class Router:
 
         _existing_router_settings: Final = self.get_settings()
         rebuild_routing_groups = False
-        relink_lar1_from_args = False
+        routing_args_updated = False
         for var in kwargs:
             if var in RUNTIME_UPDATABLE_ROUTER_SETTINGS:
                 if var in _int_settings:
@@ -11886,15 +11923,13 @@ class Router:
                                 )
                             rebuild_routing_groups = True
                     elif var == "routing_strategy_args":
-                        relink_lar1_from_args = True
+                        routing_args_updated = True
                     setattr(self, var, value)
             else:
                 verbose_router_logger.debug("Setting %s is not allowed", var)
 
-        if relink_lar1_from_args and self._normalize_strategy(self.routing_strategy) == "lar1":
-            from litellm.router_strategy.lar1_routing import apply_lar1_routing_strategy
-
-            apply_lar1_routing_strategy(self, self.routing_strategy_args)
+        if routing_args_updated:
+            self._apply_updated_routing_strategy_args()
 
         if rebuild_routing_groups:
             self._init_routing_groups(self._routing_groups_input)
diff --git a/litellm/router_strategy/lowest_latency.py b/litellm/router_strategy/lowest_latency.py
index 805d4ff9080..e902192811c 100644
--- a/litellm/router_strategy/lowest_latency.py
+++ b/litellm/router_strategy/lowest_latency.py
@@ -3,8 +3,11 @@
 import random
 from collections.abc import Sequence
 from datetime import datetime, timedelta
+from math import ceil
 from typing import TYPE_CHECKING, Any, Final
 
+from pydantic import Field
+
 import litellm
 from litellm import ModelResponse, token_counter, verbose_logger
 from litellm.caching.caching import DualCache
@@ -24,6 +27,7 @@ class RoutingArgs(LiteLLMPydanticObjectBase):
     ttl: float = 1 * 60 * 60  # 1 hour
     lowest_latency_buffer: float = 0
     max_latency_list_size: int = 10
+    ttft_percentile: float | None = Field(default=None, gt=0, le=1)
 
 
 def _average_latency(samples: Sequence[float]) -> float:
@@ -32,6 +36,12 @@ def _average_latency(samples: Sequence[float]) -> float:
     return sum(samples) / len(samples)
 
 
+def _percentile_latency(samples: Sequence[float], percentile: float) -> float:
+    values: Final = sorted(samples)
+    index: Final = ceil(len(values) * percentile) - 1
+    return values[index]
+
+
 def _ttft_seconds(elapsed: timedelta | float) -> float:
     if isinstance(elapsed, timedelta):
         return elapsed.total_seconds()
@@ -427,14 +437,17 @@ class LowestLatencyLoggingHandler(CustomLogger):
             item_rpm = item_map.get(precise_minute, {}).get("rpm", 0)
             item_tpm = item_map.get(precise_minute, {}).get("tpm", 0)
 
-            # get average latency or average ttft (depending on streaming/non-streaming)
             use_ttft = (
                 request_kwargs is not None
                 and request_kwargs.get("stream", None) is not None
                 and request_kwargs["stream"] is True
                 and len(item_ttft_latency) > 0
             )
-            average_latency = _average_latency(item_ttft_latency if use_ttft else item_latency)
+            selected_latency = (
+                _percentile_latency(item_ttft_latency, self.routing_args.ttft_percentile)
+                if use_ttft and self.routing_args.ttft_percentile is not None
+                else _average_latency(item_ttft_latency if use_ttft else item_latency)
+            )
 
             # -------------- #
             # Debugging Logic
@@ -443,7 +456,7 @@ class LowestLatencyLoggingHandler(CustomLogger):
             # this helps a user to debug why the router picked a specfic deployment      #
             _deployment_api_base = _deployment.get("litellm_params", {}).get("api_base", "")
             if _deployment_api_base is not None:
-                _latency_per_deployment[_deployment_api_base] = average_latency
+                _latency_per_deployment[_deployment_api_base] = selected_latency
             # -------------- #
             # End of Debugging Logic
             # -------------- #
@@ -453,7 +466,7 @@ class LowestLatencyLoggingHandler(CustomLogger):
             ):  # if user passed in tpm / rpm in the model_list
                 continue
             else:
-                potential_deployments.append((_deployment, average_latency))
+                potential_deployments.append((_deployment, selected_latency))
 
         if len(potential_deployments) == 0:
             return None
diff --git a/tests/code_coverage_tests/router_code_coverage.py b/tests/code_coverage_tests/router_code_coverage.py
index 0af29f069c6..a11f015743b 100644
--- a/tests/code_coverage_tests/router_code_coverage.py
+++ b/tests/code_coverage_tests/router_code_coverage.py
@@ -87,6 +87,7 @@ ignored_function_names = [
     "_delete_claude_code_session_router_binding",  # Tested through Redis cleanup failure in test_router.py
     "_resolve_claude_code_session_router",  # Tested through Claude Code session routing in test_router.py
     "_get_claude_code_session_router_binding",  # Tested through the two-worker session routing test in test_router.py
+    "_apply_updated_routing_strategy_args",  # Tested via update_settings in test_lowest_latency.py (file lacks "router" in name)
 ]
 
 
diff --git a/tests/test_litellm/router_strategy/test_lowest_latency.py b/tests/test_litellm/router_strategy/test_lowest_latency.py
index 812d7bbff32..1a8614e3fca 100644
--- a/tests/test_litellm/router_strategy/test_lowest_latency.py
+++ b/tests/test_litellm/router_strategy/test_lowest_latency.py
@@ -8,11 +8,12 @@ import json
 from datetime import datetime, timedelta
 
 import pytest
-
+from pydantic import ValidationError
 
 import litellm
 from litellm.caching.caching import DualCache
-from litellm.router_strategy.lowest_latency import LowestLatencyLoggingHandler
+from litellm.router import Router
+from litellm.router_strategy.lowest_latency import LowestLatencyLoggingHandler, RoutingArgs
 
 DEPLOYMENT_ID = "9876"
 KWARGS = {
@@ -58,9 +59,9 @@ def test_sync_embedding_latency_is_json_serializable():
 
     latencies = _recorded_latencies(cache)
     assert latencies, "expected a latency entry to be recorded"
-    assert all(
-        not isinstance(value, timedelta) for value in latencies
-    ), f"raw timedelta leaked into latency list: {latencies}"
+    assert all(not isinstance(value, timedelta) for value in latencies), (
+        f"raw timedelta leaked into latency list: {latencies}"
+    )
     assert latencies[-1] == pytest.approx(2.0)
     # the exact failure mode from production: redis cache sync json.dumps
     json.dumps({"latency": latencies})
@@ -84,9 +85,9 @@ async def test_async_embedding_latency_is_json_serializable():
 
     latencies = _recorded_latencies(cache)
     assert latencies, "expected a latency entry to be recorded"
-    assert all(
-        not isinstance(value, timedelta) for value in latencies
-    ), f"raw timedelta leaked into latency list: {latencies}"
+    assert all(not isinstance(value, timedelta) for value in latencies), (
+        f"raw timedelta leaked into latency list: {latencies}"
+    )
     assert latencies[-1] == pytest.approx(3.0)
     json.dumps({"latency": latencies})
 
@@ -292,6 +293,85 @@ async def test_streaming_routing_ignores_per_token_ttft_samples_from_older_worke
     assert picked["model_info"]["id"] == FAST_TTFT_ID
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize("sync_mode", [True, False], ids=["sync", "async"])
+@pytest.mark.parametrize(
+    ("ttft_percentile", "first_samples", "second_samples", "expected_id"),
+    [
+        (None, [0.1, 0.1, 1.0], [0.3, 0.3, 0.3], SLOW_TTFT_ID),
+        (0.5, [0.1, 0.1, 1.0], [0.3, 0.3, 0.3], FAST_TTFT_ID),
+        (0.9, [0.1, 0.1, 0.1, 0.1, 1.5], [0.3, 0.3, 0.3, 0.3, 0.3], SLOW_TTFT_ID),
+    ],
+    ids=["default_average", "p50", "p90"],
+)
+async def test_streaming_ttft_ranking_percentile(
+    sync_mode: bool,
+    ttft_percentile: float | None,
+    first_samples: list[float],
+    second_samples: list[float],
+    expected_id: str,
+):
+    cache = DualCache()
+    routing_args = {} if ttft_percentile is None else {"ttft_percentile": ttft_percentile}
+    handler = LowestLatencyLoggingHandler(router_cache=cache, routing_args=routing_args)
+    cache.set_cache(
+        key=f"{MODEL_GROUP}_map",
+        value={
+            FAST_TTFT_ID: {"time_to_first_token_seconds": first_samples},
+            SLOW_TTFT_ID: {"time_to_first_token_seconds": second_samples},
+        },
+    )
+
+    if sync_mode:
+        picked = handler.get_available_deployments(
+            model_group=MODEL_GROUP,
+            healthy_deployments=STREAMING_DEPLOYMENTS,
+            request_kwargs={"stream": True, "metadata": {}},
+        )
+    else:
+        picked = await handler.async_get_available_deployments(
+            model_group=MODEL_GROUP,
+            healthy_deployments=STREAMING_DEPLOYMENTS,
+            request_kwargs={"stream": True, "metadata": {}},
+        )
+
+    assert picked is not None
+    assert picked["model_info"]["id"] == expected_id
+
+
+@pytest.mark.parametrize("ttft_percentile", [0, -0.1, 1.1])
+def test_ttft_percentile_validation(ttft_percentile: float):
+    with pytest.raises(ValidationError):
+        RoutingArgs(ttft_percentile=ttft_percentile)
+
+
+@pytest.mark.parametrize("ttft_percentile", [0.5, 0.9, 0.95, 1.0])
+def test_ttft_percentile_accepts_valid_values(ttft_percentile: float):
+    assert RoutingArgs(ttft_percentile=ttft_percentile).ttft_percentile == ttft_percentile
+
+
+@pytest.mark.asyncio
+async def test_ttft_percentile_does_not_change_non_streaming_routing():
+    cache = DualCache()
+    handler = LowestLatencyLoggingHandler(router_cache=cache, routing_args={"ttft_percentile": 0.9})
+    cache.set_cache(
+        key=f"{MODEL_GROUP}_map",
+        value={
+            FAST_TTFT_ID: {"latency": [1.0], "time_to_first_token_seconds": [0.1]},
+            SLOW_TTFT_ID: {"latency": [0.2], "time_to_first_token_seconds": [1.5]},
+        },
+    )
+
+    picked = await handler.async_get_available_deployments(
+        model_group=MODEL_GROUP,
+        healthy_deployments=STREAMING_DEPLOYMENTS,
+        request_kwargs={"stream": False, "metadata": {}},
+    )
+
+    assert picked is not None
+    assert picked["model_info"]["id"] == SLOW_TTFT_ID
+
+
 @pytest.mark.asyncio
 @pytest.mark.parametrize(
     "cached_entry",
@@ -318,3 +398,81 @@ async def test_async_get_available_deployments_treats_missing_samples_as_zero_la
 
     assert picked is not None
     assert picked["model_info"]["id"] == DEPLOYMENT_ID
+
+
+def _latency_router(routing_strategy_args: dict) -> Router:
+    return Router(
+        model_list=[
+            {
+                "model_name": MODEL_GROUP,
+                "litellm_params": {"model": f"openai/{MODEL_GROUP}", "api_key": "sk-fake"},
+                "model_info": {"id": deployment_id},
+            }
+            for deployment_id in (FAST_TTFT_ID, SLOW_TTFT_ID)
+        ],
+        routing_strategy="latency-based-routing",
+        routing_strategy_args=routing_strategy_args,
+    )
+
+
+def _seed_streaming_ttft(router: Router) -> None:
+    router.cache.set_cache(
+        key=f"{MODEL_GROUP}_map",
+        value={
+            FAST_TTFT_ID: {"time_to_first_token_seconds": [0.1, 0.1, 1.0]},
+            SLOW_TTFT_ID: {"time_to_first_token_seconds": [0.3, 0.3, 0.3]},
+        },
+    )
+
+
+async def _pick_streaming(router: Router) -> str:
+    picked = await router.async_get_available_deployment(
+        model=MODEL_GROUP,
+        request_kwargs={"stream": True, "metadata": {}},
+    )
+    return picked["model_info"]["id"]
+
+
+@pytest.mark.asyncio
+async def test_runtime_routing_strategy_args_update_applies_ttft_percentile():
+    """A config reload that adds ttft_percentile must reach the live selector,
+    not sit unused until the proxy restarts."""
+    router = _latency_router({"max_latency_list_size": 50})
+    _seed_streaming_ttft(router)
+
+    assert await _pick_streaming(router) == SLOW_TTFT_ID
+
+    router.update_settings(routing_strategy_args={"max_latency_list_size": 50, "ttft_percentile": 0.5})
+
+    assert await _pick_streaming(router) == FAST_TTFT_ID
+
+
+@pytest.mark.asyncio
+async def test_runtime_routing_strategy_args_update_keeps_previous_args_when_invalid():
+    router = _latency_router({"ttft_percentile": 0.5})
+    _seed_streaming_ttft(router)
+
+    router.update_settings(routing_strategy_args={"ttft_percentile": 5})
+
+    assert await _pick_streaming(router) == FAST_TTFT_ID
+
+
+@pytest.mark.asyncio
+async def test_runtime_routing_strategy_args_update_is_a_noop_without_a_selector():
+    """simple-shuffle has no selector to re-link, so an args update must leave
+    the router alone instead of blowing up on a missing selector attribute."""
+    router = Router(
+        model_list=[
+            {
+                "model_name": MODEL_GROUP,
+                "litellm_params": {"model": f"openai/{MODEL_GROUP}", "api_key": "sk-fake"},
+                "model_info": {"id": FAST_TTFT_ID},
+            }
+        ],
+        routing_strategy="simple-shuffle",
+    )
+
+    router.update_settings(routing_strategy_args={"ttl": 5})
+
+    assert router.routing_strategy_args == {"ttl": 5}
+    assert await _pick_streaming(router) == FAST_TTFT_ID

From c7163a80ddfd34da743b06d770d60aba05b292eb Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Wed, 9 Sep 2026 10:48:06 -0700
Subject: [PATCH 212/223] perf(proxy): collapse per-worker SGR upserts into one
 statement per flush (#40362)

Each proxy worker flushed one Prisma upsert per active (date, category, route)
bucket every interval, so the Postgres primary saw workers x routes statements
per interval across the deployment. A flush now builds a single multi-row
INSERT ... ON CONFLICT DO UPDATE, and with use_redis_transaction_buffer on the
workers push snapshots to a Redis list that one lease-holding pod folds and
commits, so the whole deployment costs one statement per interval. The leader
keeps popping until the list is empty so a deployment wider than the dequeue
cap cannot build a backlog, and rows that fail both the commit and the Redis
re-queue fall back to the leader's own accumulator instead of being lost.

Resolves LIT-7371

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/constants.py                          |   1 +
 litellm/proxy/db/gateway_request_tracking.py  | 220 ++++++++--
 litellm/proxy/proxy_server.py                 |  14 +-
 .../proxy/db/test_gateway_request_tracking.py | 391 +++++++++++++++---
 4 files changed, 537 insertions(+), 89 deletions(-)

diff --git a/litellm/constants.py b/litellm/constants.py
index 108a914e9c1..f9389d22dea 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -335,6 +335,7 @@ DEFAULT_SSL_CIPHERS: Final = os.getenv(
 
 ########### v2 Architecture constants for managing writing updates to the database ###########
 REDIS_UPDATE_BUFFER_KEY: Final = "litellm_spend_update_buffer"
+REDIS_GATEWAY_REQUESTS_BUFFER_KEY: Final = "litellm_gateway_requests_buffer"
 REDIS_DAILY_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_daily_spend_update_buffer"
 REDIS_DAILY_TEAM_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_daily_team_spend_update_buffer"
 REDIS_DAILY_ORG_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_daily_org_spend_update_buffer"
diff --git a/litellm/proxy/db/gateway_request_tracking.py b/litellm/proxy/db/gateway_request_tracking.py
index bebd74e877c..c9ace68db33 100644
--- a/litellm/proxy/db/gateway_request_tracking.py
+++ b/litellm/proxy/db/gateway_request_tracking.py
@@ -10,13 +10,28 @@ strings rather than passing the raw path through. Nothing a caller sends can
 add a key, so the fold and the table it commits to are bounded by (days x
 routes) however much traffic arrives, and the response path carries no
 unbounded queue that would block once full.
+
+A flush commits its whole snapshot as one multi-row ``INSERT ... ON CONFLICT DO
+UPDATE`` rather than one upsert per key, so a worker costs the primary one
+statement per interval however many routes it served. With
+``use_redis_transaction_buffer`` on, workers instead push their snapshot to a
+Redis list and one lock-holding pod folds every entry and writes the table, so
+the deployment as a whole costs the primary one statement per interval.
 """
 
-from dataclasses import asdict
+import json
+from collections.abc import AsyncIterator, Iterable
 from datetime import datetime, timezone
-from typing import TYPE_CHECKING, Final
+from itertools import chain
+from types import MappingProxyType
+from typing import TYPE_CHECKING, Final, TypeAlias
+
+from pydantic import TypeAdapter
 
 from litellm._logging import verbose_proxy_logger
+from litellm.caching import RedisCache
+from litellm.constants import MAX_REDIS_BUFFER_DEQUEUE_COUNT, REDIS_GATEWAY_REQUESTS_BUFFER_KEY
+from litellm.proxy.db.db_transaction_queue.pod_lock_manager import PodLockManager
 from litellm.proxy.middleware.billable_request_metrics_middleware import BillableCategory
 from litellm.types.proxy.gateway_requests import (
     GatewayRequestCounts,
@@ -28,6 +43,15 @@ if TYPE_CHECKING:
     from litellm.proxy.utils import PrismaClient
 
 _EMPTY: Final = GatewayRequestCounts(successful_requests=0, failed_requests=0)
+_TABLE: Final = '"LiteLLM_DailyGatewayRequests"'
+_COLUMNS_PER_ROW: Final = 5
+_UTC_NOW: Final = "(NOW() AT TIME ZONE 'UTC')"
+GATEWAY_REQUESTS_JOB_NAME: Final = "update_gateway_requests_job"
+
+_BufferedRows: TypeAlias = tuple[tuple[str, str, str, int, int], ...]
+_BUFFERED_ROWS: Final = TypeAdapter(_BufferedRows)
+_BUFFERED_ENTRIES: Final = TypeAdapter(tuple[str | bytes, ...])
+_NO_COUNTS: Final[GatewayRequestSnapshot] = MappingProxyType({})
 
 
 def _utc_date() -> str:
@@ -59,20 +83,54 @@ class GatewayRequestAccumulator:
         route) however long the database is unreachable.
 
         This buys at-least-once, not exactly-once, and the cost is worth stating.
-        The batch commits inside its context manager's ``__aexit__``, so a failure
-        raised after the transaction committed (a connection dropped while reading
-        the acknowledgement) restores counts that are already persisted, and the
-        next flush increments them a second time. Exactly-once would need a dedup
-        key the upserts could ignore on replay. For a traffic-volume metric a rare
+        The statement commits on the server before its acknowledgement is read, so
+        a failure raised after the commit (a connection dropped while reading the
+        acknowledgement) restores counts that are already persisted, and the next
+        flush increments them a second time. Exactly-once would need a dedup key
+        the upsert could ignore on replay. For a traffic-volume metric a rare
         overcount on a dropped acknowledgement beats losing a whole interval to
         every database blip, so the trade is deliberate.
         """
-        for key, counts in snapshot.items():
-            existing = self._counts.get(key, _EMPTY)
-            self._counts[key] = GatewayRequestCounts(
-                successful_requests=existing.successful_requests + counts.successful_requests,
-                failed_requests=existing.failed_requests + counts.failed_requests,
-            )
+        self._counts = dict(fold_counts(chain(self._counts.items(), snapshot.items())))  # mutable-ok: fold replaced
+
+
+def fold_counts(items: Iterable[tuple[GatewayRequestKey, GatewayRequestCounts]]) -> GatewayRequestSnapshot:
+    """Sum counts key-wise; the result stays bounded by (date x category x route)."""
+    folded: Final[dict[GatewayRequestKey, GatewayRequestCounts]] = {}  # mutable-ok: local fold returned once
+    for key, counts in items:
+        existing = folded.get(key, _EMPTY)
+        folded[key] = GatewayRequestCounts(
+            successful_requests=existing.successful_requests + counts.successful_requests,
+            failed_requests=existing.failed_requests + counts.failed_requests,
+        )
+    return folded
+
+
+def build_gateway_requests_upsert(snapshot: GatewayRequestSnapshot) -> tuple[str, tuple[str | int, ...]]:
+    """
+    One ``INSERT ... ON CONFLICT DO UPDATE`` that increments every (date, category,
+    route) in the snapshot. Rows are ordered by the conflict key so concurrent
+    writers lock rows in the same order and cannot deadlock.
+    """
+    ordered: Final = sorted(snapshot.items(), key=lambda item: (item[0].date, item[0].category, item[0].route))
+    rows: Final = ", ".join(
+        f"(${base + 1}::text, ${base + 2}::text, ${base + 3}::text, ${base + 4}::bigint, ${base + 5}::bigint, {_UTC_NOW})"
+        for base in range(0, len(ordered) * _COLUMNS_PER_ROW, _COLUMNS_PER_ROW)
+    )
+    sql: Final = (
+        f'INSERT INTO {_TABLE} ("date", "category", "route", "successful_requests", "failed_requests", "updated_at")\n'
+        f"VALUES {rows}\n"
+        'ON CONFLICT ("date", "category", "route") DO UPDATE SET\n'
+        f'  "successful_requests" = {_TABLE}."successful_requests" + EXCLUDED."successful_requests",\n'
+        f'  "failed_requests" = {_TABLE}."failed_requests" + EXCLUDED."failed_requests",\n'
+        f'  "updated_at" = {_UTC_NOW}'
+    )
+    params: Final[tuple[str | int, ...]] = tuple(
+        value
+        for key, counts in ordered
+        for value in (key.date, key.category, key.route, counts.successful_requests, counts.failed_requests)
+    )
+    return sql, params
 
 
 async def commit_gateway_requests_to_db(
@@ -80,50 +138,130 @@ async def commit_gateway_requests_to_db(
     prisma_client: "PrismaClient",
     snapshot: GatewayRequestSnapshot,
 ) -> None:
-    """Upsert one incrementing row per (date, category, route)."""
+    """Increment every (date, category, route) in the snapshot with a single statement."""
     if not snapshot:
         return
 
-    ordered: Final = sorted(snapshot.items(), key=lambda item: (item[0].date, item[0].category, item[0].route))
+    sql, params = build_gateway_requests_upsert(snapshot)
+    await prisma_client.db.execute_raw(sql, *params)  # pyright: ignore[reportAny]  # untyped prisma client
 
-    # pyright: ignore[reportAny] on both lines -- prisma's generated client is untyped,
-    # so .db and every table action off it resolve to Any at this boundary. The dict
-    # literals below are the shape prisma's generated inputs require.
-    async with prisma_client.db.batch_() as batcher:  # pyright: ignore[reportAny]  # untyped prisma client
-        for key, counts in ordered:
-            columns = asdict(key)
-            batcher.litellm_dailygatewayrequests.upsert(  # pyright: ignore[reportAny]  # untyped prisma client
-                where={"date_category_route": columns},  # mutable-ok: prisma input is dict-shaped
-                data={  # mutable-ok: prisma input is dict-shaped
-                    "create": {  # mutable-ok: prisma input is dict-shaped
-                        **columns,
-                        "successful_requests": counts.successful_requests,
-                        "failed_requests": counts.failed_requests,
-                    },
-                    "update": {  # mutable-ok: prisma input is dict-shaped
-                        "successful_requests": {"increment": counts.successful_requests},  # mutable-ok: as above
-                        "failed_requests": {"increment": counts.failed_requests},  # mutable-ok: as above
-                    },
-                },
+    verbose_proxy_logger.debug(
+        "Gateway request tracking - committed %d aggregated rows in one statement", len(snapshot)
+    )
+
+
+class GatewayRequestRedisBuffer:
+    """
+    Folds every worker's snapshot through one Redis list so a single pod per
+    interval writes the table, mirroring the spend writer's transaction buffer.
+
+    Each entry is one worker's snapshot as JSON rows; the lock holder pops them,
+    sums them, and commits one statement. A commit failure pushes the summed
+    rows back so the next holder retries, keeping the at-least-once guarantee.
+    If that push fails too, the rows go back to the holder's own accumulator so
+    they ride along with its next flush instead of vanishing with the pop.
+    """
+
+    def __init__(self, *, redis_cache: RedisCache, pod_lock_manager: PodLockManager) -> None:
+        self._redis_cache: Final = redis_cache
+        self._pod_lock_manager: Final = pod_lock_manager
+
+    async def push(self, snapshot: GatewayRequestSnapshot) -> None:
+        if not snapshot:
+            return
+        rows: Final[_BufferedRows] = tuple(
+            (key.date, key.category, key.route, counts.successful_requests, counts.failed_requests)
+            for key, counts in snapshot.items()
+        )
+        await self._redis_cache.async_rpush(key=REDIS_GATEWAY_REQUESTS_BUFFER_KEY, values=(json.dumps(rows),))
+
+    async def _pop_batch(self) -> tuple[str | bytes, ...]:
+        popped: Final[object] = await self._redis_cache.async_lpop(  # pyright: ignore[reportAny]  # redis returns Any
+            key=REDIS_GATEWAY_REQUESTS_BUFFER_KEY, count=MAX_REDIS_BUFFER_DEQUEUE_COUNT
+        )
+        if not popped:
+            return ()
+        return _BUFFERED_ENTRIES.validate_python(popped if isinstance(popped, list) else (popped,))
+
+    async def _pop_all(self) -> AsyncIterator[str | bytes]:
+        while True:
+            batch = await self._pop_batch()
+            for entry in batch:
+                yield entry
+            if len(batch) < MAX_REDIS_BUFFER_DEQUEUE_COUNT:
+                return
+
+    async def pop(self) -> GatewayRequestSnapshot:
+        entries: Final = tuple([entry async for entry in self._pop_all()])
+        return fold_counts(
+            (
+                GatewayRequestKey(date=date, category=category, route=route),
+                GatewayRequestCounts(successful_requests=succeeded, failed_requests=failed),
             )
+            for entry in entries
+            for date, category, route, succeeded, failed in _BUFFERED_ROWS.validate_json(entry)
+        )
 
-    verbose_proxy_logger.debug("Gateway request tracking - committed %d aggregated rows", len(ordered))
+    async def commit_if_leader(self, prisma_client: "PrismaClient") -> GatewayRequestSnapshot:
+        """
+        Drain the list and write it as one statement, but only on the pod holding the job lock.
+
+        The lock is a lease, never released: the holder re-enters it on every flush and
+        keeps committing alone until the TTL lapses, so the primary sees one statement
+        per flush interval deployment-wide instead of one per worker.
+
+        Returns the popped rows that could be neither committed nor re-queued, for the
+        caller to keep in memory. Empty on success.
+        """
+        if not await self._pod_lock_manager.acquire_lock(cronjob_id=GATEWAY_REQUESTS_JOB_NAME):
+            return _NO_COUNTS
+        buffered: Final = await self.pop()
+        try:
+            await commit_gateway_requests_to_db(prisma_client=prisma_client, snapshot=buffered)
+        except Exception:  # noqa: BLE001 -- a failed commit must not stop the scheduler
+            verbose_proxy_logger.warning(
+                "Gateway request tracking - failed to commit %d buffered rows, re-queuing to Redis for the next flush",
+                len(buffered),
+                exc_info=True,
+            )
+            return await self._requeue(buffered)
+        return _NO_COUNTS
+
+    async def _requeue(self, snapshot: GatewayRequestSnapshot) -> GatewayRequestSnapshot:
+        try:
+            await self.push(snapshot)
+        except Exception:  # noqa: BLE001 -- the rows go back to the caller's accumulator instead
+            verbose_proxy_logger.warning(
+                "Gateway request tracking - Redis re-queue failed, keeping %d rows in memory for the next flush",
+                len(snapshot),
+                exc_info=True,
+            )
+            return snapshot
+        return _NO_COUNTS
 
 
 async def flush_gateway_requests(
     prisma_client: "PrismaClient",
     accumulator: GatewayRequestAccumulator,
+    redis_buffer: GatewayRequestRedisBuffer | None = None,
 ) -> None:
     """
     Scheduler entrypoint. Never raises: a metering failure must not kill the job.
 
+    With ``redis_buffer`` the snapshot goes to Redis and only the lease holder
+    writes to Postgres. Shutdown passes no buffer so a departing worker writes its
+    own counts directly instead of parking them behind a lease it may not hold.
+
     ``CancelledError`` is deliberately not caught, so a flush cancelled during
     shutdown drops its snapshot rather than restoring counts onto an accumulator
     the process is about to discard.
     """
     snapshot: Final = accumulator.drain()
     try:
-        await commit_gateway_requests_to_db(prisma_client=prisma_client, snapshot=snapshot)
+        if redis_buffer is None:
+            await commit_gateway_requests_to_db(prisma_client=prisma_client, snapshot=snapshot)
+        else:
+            await redis_buffer.push(snapshot)
     except Exception:  # noqa: BLE001 -- a failed flush must not stop the scheduler
         accumulator.restore(snapshot)
         verbose_proxy_logger.warning(
@@ -131,3 +269,13 @@ async def flush_gateway_requests(
             len(snapshot),
             exc_info=True,
         )
+        return
+    if redis_buffer is None:
+        return
+    try:
+        accumulator.restore(await redis_buffer.commit_if_leader(prisma_client))
+    except Exception:  # noqa: BLE001 -- entries still in Redis are drained by the next flush
+        verbose_proxy_logger.warning(
+            "Gateway request tracking - leader drain failed, buffered rows stay in Redis for the next flush",
+            exc_info=True,
+        )
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index c241e66049b..09e43eb74e1 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -424,6 +424,7 @@ from litellm.proxy.db.exception_handler import (
 )
 from litellm.proxy.db.gateway_request_tracking import (
     GatewayRequestAccumulator,
+    GatewayRequestRedisBuffer,
     flush_gateway_requests,
 )
 from litellm.proxy.db.proxy_worker_heartbeat import (
@@ -2355,6 +2356,17 @@ open_telemetry_logger: OpenTelemetry | None = None
 gateway_request_accumulator: Final = GatewayRequestAccumulator()
 ### INITIALIZE GLOBAL LOGGING OBJECT ###
 proxy_logging_obj: ProxyLogging = ProxyLogging(user_api_key_cache=user_api_key_cache, premium_user=premium_user)
+
+
+def _gateway_request_redis_buffer() -> GatewayRequestRedisBuffer | None:
+    """Shares the spend writer's transaction-buffer Redis and pod lock when use_redis_transaction_buffer is on."""
+    writer: Final = proxy_logging_obj.db_spend_update_writer
+    redis_cache: Final = writer.redis_update_buffer.redis_cache
+    if redis_cache is None or not writer.redis_update_buffer._should_commit_spend_updates_to_redis():
+        return None
+    return GatewayRequestRedisBuffer(redis_cache=redis_cache, pod_lock_manager=writer.pod_lock_manager)
+
+
 ### REDIS QUEUE ###
 async_result: Final = None
 celery_app_conn: Final = None
@@ -9633,7 +9645,7 @@ class ProxyStartupEvent:
             flush_gateway_requests,
             "interval",
             seconds=batch_writing_interval,
-            args=(prisma_client, gateway_request_accumulator),
+            args=(prisma_client, gateway_request_accumulator, _gateway_request_redis_buffer()),
             id="update_gateway_requests_job",
             replace_existing=True,
             misfire_grace_time=APSCHEDULER_MISFIRE_GRACE_TIME,
diff --git a/tests/test_litellm/proxy/db/test_gateway_request_tracking.py b/tests/test_litellm/proxy/db/test_gateway_request_tracking.py
index 93a11a914cb..045261e2d53 100644
--- a/tests/test_litellm/proxy/db/test_gateway_request_tracking.py
+++ b/tests/test_litellm/proxy/db/test_gateway_request_tracking.py
@@ -8,8 +8,11 @@ from datetime import datetime, timezone
 
 import pytest
 
+from litellm.constants import MAX_REDIS_BUFFER_DEQUEUE_COUNT, REDIS_GATEWAY_REQUESTS_BUFFER_KEY
 from litellm.proxy.db.gateway_request_tracking import (
+    GATEWAY_REQUESTS_JOB_NAME,
     GatewayRequestAccumulator,
+    GatewayRequestRedisBuffer,
     commit_gateway_requests_to_db,
     flush_gateway_requests,
 )
@@ -83,40 +86,47 @@ def test_drain_snapshot_is_not_mutated_by_later_records():
 # ── commit ────────────────────────────────────────────────────────────────────
 
 
-class FakeTable:
-    def __init__(self) -> None:
-        self.upserts: list[dict] = []
-
-    def upsert(self, *, where: dict, data: dict) -> None:
-        self.upserts.append({"where": where, "data": data})
-
-
-class FakeBatcher:
-    def __init__(self, table: FakeTable) -> None:
-        self.litellm_dailygatewayrequests = table
-
-    async def __aenter__(self) -> "FakeBatcher":
-        return self
-
-    async def __aexit__(self, *args: object) -> bool:
-        return False
-
-
 class FakeDB:
-    def __init__(self, table: FakeTable) -> None:
-        self._table = table
+    def __init__(self) -> None:
+        self.statements: list[tuple[str, tuple[object, ...]]] = []
 
-    def batch_(self) -> FakeBatcher:
-        return FakeBatcher(self._table)
+    async def execute_raw(self, query: str, *args: object) -> int:
+        self.statements.append((query, args))
+        return len(args) // 5
 
 
 class FakePrismaClient:
     def __init__(self) -> None:
-        self.table = FakeTable()
-        self.db = FakeDB(self.table)
+        self.db = FakeDB()
 
 
-def test_commit_upserts_one_incrementing_row_per_key():
+def _rows_written(client: FakePrismaClient) -> list[tuple[object, ...]]:
+    """Every (date, category, route, successful, failed) tuple the database received, in statement order."""
+    return [params[i : i + 5] for _, params in client.db.statements for i in range(0, len(params), 5)]
+
+
+def test_commit_increments_with_a_single_statement_for_the_whole_snapshot():
+    """One statement per flush is the whole point: the previous per-key upsert cost
+    the primary (workers x routes) statements per interval."""
+    client = FakePrismaClient()
+    snapshot = {
+        GatewayRequestKey(date="2026-08-01", category="llm", route=route): (
+            GatewayRequestCounts(successful_requests=7, failed_requests=2)
+        )
+        for route in ("/chat/completions", "/embeddings", "/responses", "/v1/messages", "/mcp")
+    }
+
+    asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot=snapshot))
+
+    assert len(client.db.statements) == 1
+    sql, params = client.db.statements[0]
+    assert sql.count("ON CONFLICT") == 1
+    assert sql.count("(NOW() AT TIME ZONE 'UTC'))") == 5
+    assert len(params) == 25
+
+
+def test_commit_sql_adds_to_the_existing_row_instead_of_replacing_it():
+    """A worker only knows its own share; the SQL must add EXCLUDED onto the stored count."""
     client = FakePrismaClient()
     snapshot = {
         GatewayRequestKey(date="2026-08-01", category="llm", route="/chat/completions"): (
@@ -126,20 +136,36 @@ def test_commit_upserts_one_incrementing_row_per_key():
 
     asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot=snapshot))
 
-    assert len(client.table.upserts) == 1
-    written = client.table.upserts[0]
-    assert written["where"] == {
-        "date_category_route": {
-            "date": "2026-08-01",
-            "category": "llm",
-            "route": "/chat/completions",
-        }
+    sql, params = client.db.statements[0]
+    assert 'INSERT INTO "LiteLLM_DailyGatewayRequests"' in sql
+    assert 'ON CONFLICT ("date", "category", "route") DO UPDATE SET' in sql
+    assert (
+        '"successful_requests" = "LiteLLM_DailyGatewayRequests"."successful_requests" + EXCLUDED."successful_requests"'
+        in sql
+    )
+    assert '"failed_requests" = "LiteLLM_DailyGatewayRequests"."failed_requests" + EXCLUDED."failed_requests"' in sql
+    assert params == ("2026-08-01", "llm", "/chat/completions", 7, 2)
+
+
+def test_commit_placeholders_line_up_with_params():
+    """$n positions are generated per row; a drift here silently swaps a route for a count."""
+    client = FakePrismaClient()
+    snapshot = {
+        GatewayRequestKey(date="2026-08-01", category="llm", route="/chat/completions"): (
+            GatewayRequestCounts(successful_requests=1, failed_requests=0)
+        ),
+        GatewayRequestKey(date="2026-08-01", category="mcp", route="/mcp"): (
+            GatewayRequestCounts(successful_requests=0, failed_requests=3)
+        ),
     }
-    assert written["data"]["update"] == {
-        "successful_requests": {"increment": 7},
-        "failed_requests": {"increment": 2},
-    }
-    assert written["data"]["create"]["successful_requests"] == 7
+
+    asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot=snapshot))
+
+    sql, params = client.db.statements[0]
+    assert "($1::text, $2::text, $3::text, $4::bigint, $5::bigint," in sql
+    assert "($6::text, $7::text, $8::text, $9::bigint, $10::bigint," in sql
+    assert "$11" not in sql
+    assert params == ("2026-08-01", "llm", "/chat/completions", 1, 0, "2026-08-01", "mcp", "/mcp", 0, 3)
 
 
 def test_commit_is_deterministically_ordered():
@@ -154,17 +180,14 @@ def test_commit_is_deterministically_ordered():
 
     asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot=snapshot))
 
-    written_order = [
-        (row["where"]["date_category_route"]["date"], row["where"]["date_category_route"]["category"])
-        for row in client.table.upserts
-    ]
+    written_order = [(row[0], row[1]) for row in _rows_written(client)]
     assert written_order == [("2026-08-01", "llm"), ("2026-08-01", "mcp"), ("2026-08-02", "llm")]
 
 
 def test_commit_skips_the_database_entirely_when_nothing_accumulated():
     client = FakePrismaClient()
     asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot={}))
-    assert client.table.upserts == []
+    assert client.db.statements == []
 
 
 # ── flush ─────────────────────────────────────────────────────────────────────
@@ -177,12 +200,12 @@ def test_flush_drains_and_commits():
 
     asyncio.run(flush_gateway_requests(client, acc))
 
-    assert len(client.table.upserts) == 1
+    assert len(client.db.statements) == 1
     assert acc.drain() == {}
 
 
 class ExplodingDB:
-    def batch_(self):
+    async def execute_raw(self, query: str, *args: object) -> int:
         raise RuntimeError("db gone")
 
 
@@ -208,10 +231,7 @@ def test_failed_flush_keeps_counts_for_the_next_attempt():
     client = FakePrismaClient()
     asyncio.run(flush_gateway_requests(client, acc))
 
-    assert client.table.upserts[0]["data"]["update"] == {
-        "successful_requests": {"increment": 1},
-        "failed_requests": {"increment": 1},
-    }
+    assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 1, 1)]
 
 
 def test_restored_counts_merge_with_requests_recorded_meanwhile():
@@ -223,5 +243,272 @@ def test_restored_counts_merge_with_requests_recorded_meanwhile():
     client = FakePrismaClient()
     asyncio.run(flush_gateway_requests(client, acc))
 
-    assert len(client.table.upserts) == 1
-    assert client.table.upserts[0]["data"]["update"]["successful_requests"] == {"increment": 2}
+    assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 2, 0)]
+
+
+class ExplodingDBWithInFlightRequest:
+    """Fails the write after a request has been recorded while it was in flight."""
+
+    def __init__(self, accumulator: GatewayRequestAccumulator) -> None:
+        self.accumulator = accumulator
+
+    async def execute_raw(self, query: str, *args: object) -> int:
+        _record(self.accumulator, 500)
+        raise RuntimeError("db gone")
+
+
+class ExplodingClientWithInFlightRequest:
+    def __init__(self, accumulator: GatewayRequestAccumulator) -> None:
+        self.db = ExplodingDBWithInFlightRequest(accumulator)
+
+
+def test_restore_keeps_requests_recorded_while_the_failed_write_was_in_flight():
+    acc = GatewayRequestAccumulator()
+    _record(acc, 200)
+    asyncio.run(flush_gateway_requests(ExplodingClientWithInFlightRequest(acc), acc))
+
+    client = FakePrismaClient()
+    asyncio.run(flush_gateway_requests(client, acc))
+
+    assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 1, 1)]
+
+
+# ── redis buffer ──────────────────────────────────────────────────────────────
+
+
+class FakeRedis:
+    def __init__(self) -> None:
+        self.lists: dict[str, list[str]] = {}
+
+    async def async_rpush(self, key: str, values: list[str]) -> int:
+        self.lists.setdefault(key, []).extend(values)
+        return len(self.lists[key])
+
+    async def async_lpop(self, key: str, count: int) -> list[str] | None:
+        queue = self.lists.get(key, [])
+        if not queue:
+            return None
+        popped, self.lists[key] = queue[:count], queue[count:]
+        return popped
+
+
+class FakePodLock:
+    def __init__(self, *, leader: bool) -> None:
+        self.leader = leader
+        self.held: list[str] = []
+        self.released: list[str] = []
+
+    async def acquire_lock(self, cronjob_id: str) -> bool:
+        self.held.append(cronjob_id)
+        return self.leader
+
+    async def release_lock(self, cronjob_id: str) -> None:
+        self.released.append(cronjob_id)
+
+
+class FakeLease:
+    """Redis-side view of the job lock: SET NX by pod id, re-entrant for the holder, freed only by release or TTL."""
+
+    def __init__(self) -> None:
+        self.holder: str | None = None
+
+
+class FakeLeasePodLock:
+    def __init__(self, lease: FakeLease, pod_id: str) -> None:
+        self.lease = lease
+        self.pod_id = pod_id
+
+    async def acquire_lock(self, cronjob_id: str) -> bool:
+        if self.lease.holder is None:
+            self.lease.holder = self.pod_id
+        return self.lease.holder == self.pod_id
+
+    async def release_lock(self, cronjob_id: str) -> None:
+        if self.lease.holder == self.pod_id:
+            self.lease.holder = None
+
+
+def _buffer(redis: FakeRedis, *, leader: bool) -> tuple[GatewayRequestRedisBuffer, FakePodLock]:
+    lock = FakePodLock(leader=leader)
+    return GatewayRequestRedisBuffer(redis_cache=redis, pod_lock_manager=lock), lock  # pyright: ignore[reportArgumentType]  # duck-typed fakes
+
+
+def test_non_leader_workers_push_to_redis_and_never_touch_the_database():
+    redis = FakeRedis()
+    client = FakePrismaClient()
+    for _ in range(3):
+        acc = GatewayRequestAccumulator()
+        _record(acc, 200)
+        buffer, _ = _buffer(redis, leader=False)
+        asyncio.run(flush_gateway_requests(client, acc, buffer))
+
+    assert client.db.statements == []
+    assert len(redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY]) == 3
+
+
+def test_leader_folds_every_workers_snapshot_into_one_statement():
+    """Fifty workers each flushing the same routes must cost the primary one statement, not fifty."""
+    redis = FakeRedis()
+    client = FakePrismaClient()
+    for _ in range(50):
+        acc = GatewayRequestAccumulator()
+        _record(acc, 200)
+        _record(acc, 500, route="/responses")
+        buffer, _ = _buffer(redis, leader=False)
+        asyncio.run(flush_gateway_requests(client, acc, buffer))
+
+    leader_acc = GatewayRequestAccumulator()
+    _record(leader_acc, 200)
+    leader, lock = _buffer(redis, leader=True)
+    asyncio.run(flush_gateway_requests(client, leader_acc, leader))
+
+    assert len(client.db.statements) == 1
+    assert _rows_written(client) == [
+        (_today(), "llm", "/chat/completions", 51, 0),
+        (_today(), "llm", "/responses", 0, 50),
+    ]
+    assert redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY] == []
+    assert lock.held == [GATEWAY_REQUESTS_JOB_NAME]
+    assert lock.released == []
+
+
+def test_leader_keeps_the_lease_so_staggered_pods_cost_one_statement_per_interval():
+    """Pods flush on their own clocks; without the lease each one would win the lock in turn and commit alone."""
+    redis = FakeRedis()
+    client = FakePrismaClient()
+    lease = FakeLease()
+    pods = tuple(
+        GatewayRequestRedisBuffer(redis_cache=redis, pod_lock_manager=FakeLeasePodLock(lease, f"pod-{i}"))  # pyright: ignore[reportArgumentType]  # duck-typed fakes
+        for i in range(4)
+    )
+
+    for _interval in range(3):
+        for pod in pods:
+            acc = GatewayRequestAccumulator()
+            _record(acc, 200)
+            asyncio.run(flush_gateway_requests(client, acc, pod))
+
+    assert lease.holder == "pod-0"
+    assert len(client.db.statements) == 3
+    assert [row[3] for row in _rows_written(client)] == [1, 4, 4]
+    assert len(redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY]) == 3
+
+
+def test_leader_drains_a_backlog_deeper_than_one_capped_pop():
+    """More workers than MAX_REDIS_BUFFER_DEQUEUE_COUNT must not leave a growing tail queued behind the cap."""
+    redis = FakeRedis()
+    client = FakePrismaClient()
+    workers = MAX_REDIS_BUFFER_DEQUEUE_COUNT * 2 + 1
+    for _ in range(workers):
+        acc = GatewayRequestAccumulator()
+        _record(acc, 200)
+        buffer, _ = _buffer(redis, leader=False)
+        asyncio.run(flush_gateway_requests(client, acc, buffer))
+
+    leader, _ = _buffer(redis, leader=True)
+    asyncio.run(flush_gateway_requests(client, GatewayRequestAccumulator(), leader))
+
+    assert len(client.db.statements) == 1
+    assert _rows_written(client) == [(_today(), "llm", "/chat/completions", workers, 0)]
+    assert redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY] == []
+
+
+def test_leader_with_nothing_buffered_writes_nothing():
+    redis = FakeRedis()
+    client = FakePrismaClient()
+    leader, lock = _buffer(redis, leader=True)
+
+    asyncio.run(flush_gateway_requests(client, GatewayRequestAccumulator(), leader))
+
+    assert client.db.statements == []
+    assert lock.released == []
+
+
+def test_leader_requeues_to_redis_when_the_database_commit_fails():
+    """Counts popped from Redis are gone from every worker; a failed commit must put them back."""
+    redis = FakeRedis()
+    acc = GatewayRequestAccumulator()
+    _record(acc, 200)
+    _record(acc, 200)
+    leader, lock = _buffer(redis, leader=True)
+
+    asyncio.run(flush_gateway_requests(ExplodingClient(), acc, leader))
+
+    assert len(redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY]) == 1
+    assert lock.released == []
+    assert acc.drain() == {}
+
+    client = FakePrismaClient()
+    retry, _ = _buffer(redis, leader=True)
+    asyncio.run(flush_gateway_requests(client, GatewayRequestAccumulator(), retry))
+    assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 2, 0)]
+
+
+class ExplodingRedis(FakeRedis):
+    async def async_rpush(self, key: str, values: list[str]) -> int:
+        raise RuntimeError("redis gone")
+
+
+class UnreadableRedis(FakeRedis):
+    async def async_lpop(self, key: str, count: int) -> list[str] | None:
+        raise RuntimeError("redis gone mid-flush")
+
+
+class UnwritableRedis(FakeRedis):
+    """Pops succeed, pushes fail: a Redis that went read-only between the leader's pop and its re-queue."""
+
+    async def async_rpush(self, key: str, values: list[str]) -> int:
+        raise RuntimeError("redis read-only")
+
+
+def test_leader_keeps_popped_counts_in_memory_when_both_the_database_and_the_requeue_fail():
+    """The pop removed the only copy; if Redis will not take it back the leader itself must carry it."""
+    redis = FakeRedis()
+    worker_acc = GatewayRequestAccumulator()
+    _record(worker_acc, 200)
+    _record(worker_acc, 200)
+    worker, _ = _buffer(redis, leader=False)
+    asyncio.run(flush_gateway_requests(FakePrismaClient(), worker_acc, worker))
+
+    degraded = UnwritableRedis()
+    degraded.lists = redis.lists
+    leader_acc = GatewayRequestAccumulator()
+    leader, _ = _buffer(degraded, leader=True)
+    asyncio.run(flush_gateway_requests(ExplodingClient(), leader_acc, leader))
+    assert degraded.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY] == []
+
+    client = FakePrismaClient()
+    retry, _ = _buffer(redis, leader=True)
+    asyncio.run(flush_gateway_requests(client, leader_acc, retry))
+    assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 2, 0)]
+
+
+def test_leader_whose_redis_read_fails_leaves_the_pushed_rows_for_the_next_flush():
+    """The scheduler job must not raise, and nothing is popped so nothing needs restoring anywhere."""
+    redis = UnreadableRedis()
+    acc = GatewayRequestAccumulator()
+    _record(acc, 200)
+    client = FakePrismaClient()
+    leader, _ = _buffer(redis, leader=True)
+
+    asyncio.run(flush_gateway_requests(client, acc, leader))
+
+    assert client.db.statements == []
+    assert acc.drain() == {}
+    assert len(redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY]) == 1
+
+
+def test_failed_redis_push_keeps_counts_locally_for_the_next_flush():
+    acc = GatewayRequestAccumulator()
+    _record(acc, 200)
+    _record(acc, 500)
+    buffer, lock = _buffer(ExplodingRedis(), leader=True)
+
+    asyncio.run(flush_gateway_requests(FakePrismaClient(), acc, buffer))
+
+    assert lock.held == []
+    assert acc.drain() == {
+        GatewayRequestKey(date=_today(), category="llm", route="/chat/completions"): (
+            GatewayRequestCounts(successful_requests=1, failed_requests=1)
+        )
+    }

From 6195fbf5f3aaa656d916f0a7c3013ada34e87752 Mon Sep 17 00:00:00 2001
From: Animesh Kumar <kanimesh187@gmail.com>
Date: Wed, 9 Sep 2026 23:24:12 +0530
Subject: [PATCH 213/223] test: isolate bedrock aws tests from ambient SSL env
 vars

Nine cases assert the sts client is built with verify=True, but get_ssl_verify
reads SSL_CERT_FILE and SSL_VERIFY, so the argument depended on the ambient
environment. The published images set SSL_CERT_FILE, so the suite failed there
while passing in CI.

Fixes #40357
---
 tests/test_litellm/llms/bedrock/test_base_aws_llm.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/tests/test_litellm/llms/bedrock/test_base_aws_llm.py b/tests/test_litellm/llms/bedrock/test_base_aws_llm.py
index f854d806bdc..a1c28f36e70 100644
--- a/tests/test_litellm/llms/bedrock/test_base_aws_llm.py
+++ b/tests/test_litellm/llms/bedrock/test_base_aws_llm.py
@@ -38,6 +38,14 @@ def flush_shared_bedrock_iam_cache():
     yield
 
 
+@pytest.fixture(autouse=True)
+def _clean_ssl_env(monkeypatch):
+    """get_ssl_verify reads these, so the sts client's verify= would otherwise depend on
+    the ambient environment. The published images set SSL_CERT_FILE."""
+    for env_var in ("SSL_CERT_FILE", "SSL_VERIFY"):
+        monkeypatch.delenv(env_var, raising=False)
+
+
 def test_base_aws_llm_instances_share_process_wide_iam_cache():
     """Regression LIT-2662: new instances must reuse iam_cache (Bedrock passthrough is per-request)."""
     first = BaseAWSLLM()

From c82c9cbcedf43661521270740273d6437d76c098 Mon Sep 17 00:00:00 2001
From: tin-berri <tin@berri.ai>
Date: Wed, 9 Sep 2026 11:04:11 -0700
Subject: [PATCH 214/223] fix(router): strip encrypted reasoning on an
 auto-router tier change instead of a 503 (#40280)

A Responses API follow-up that replays reasoning.encrypted_content is pinned to the
deployment that minted it. Behind an auto-router the pre-routing hook rebinds the model
to the tier it picked before the candidate pool is built, so a turn that classifies into a
different tier never finds the origin and the affinity check raised its fail-fast 503,
whose text claims a cooldown that does not exist

When the deployment that minted the reasoning is not a member of the model group this turn
is routed to, strip the encrypted reasoning (keeping any readable summary, string or block
form) and dispatch to the routed group. Membership is tested by deployment id against the
candidate set the router itself resolved for the route (routing group, model_name, team,
and pattern alike), not by model-group name, so an alias, a provider-qualified spelling, a
team-public name, or a pattern route of the same group is not misread as a tier change.
An unknown origin (a removed deployment, or a forged/unauthenticated marker) is handled the
same as a cross-group one and its reasoning is stripped, so a real cross-group id and a
nonexistent id return the same response and cannot be used to enumerate deployment ids.
Unavailability within the origin's own group keeps the existing 429/503 fail-fast, so the
cooldown contract is unchanged

Resolves LIT-7195


Claude-Session: https://claude.ai/code/session_01KAumQbhzk6jdWWHFLA8Jar

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
---
 litellm/responses/utils.py                    |  43 ++
 litellm/router.py                             |  34 ++
 .../encrypted_content_affinity_check.py       |  73 ++-
 .../test_encrypted_content_affinity_check.py  | 561 ++++++++++++------
 tests/test_litellm/test_router.py             |  42 ++
 5 files changed, 557 insertions(+), 196 deletions(-)

diff --git a/litellm/responses/utils.py b/litellm/responses/utils.py
index 540d492beec..599e978df6a 100644
--- a/litellm/responses/utils.py
+++ b/litellm/responses/utils.py
@@ -543,6 +543,49 @@ class ResponsesAPIRequestUtils:
 
         return request_input
 
+    @staticmethod
+    def strip_encrypted_reasoning_from_input(request_input: object) -> None:
+        """Drop reasoning items the routed deployment cannot decrypt, keeping their readable summary.
+
+        Mutates ``request_input`` in place: the router's fallback snapshot shares this
+        list object, so a rebound list would replay the stripped items on the fallback hop.
+        """
+        if not isinstance(request_input, list):
+            return
+        items: Final = cast(list[object], request_input)  # cast-ok: untyped client json
+        stripped: Final = tuple(ResponsesAPIRequestUtils._without_encrypted_reasoning(item) for item in items)
+        items[:] = (item for item in stripped if item is not None)  # rebind-ok: list shared with fallback snapshot
+
+    @staticmethod
+    def _without_encrypted_reasoning(item: object) -> object | None:
+        if not isinstance(item, dict):
+            return item
+        reasoning: Final = cast(Mapping[str, object], item)  # cast-ok: untyped client json
+        if reasoning.get("type") != "reasoning" or not reasoning.get("encrypted_content"):
+            return reasoning
+        readable: Final = any(
+            ResponsesAPIRequestUtils._has_readable_text(reasoning.get(key)) for key in ("summary", "content")
+        )
+        if not readable:
+            return None
+        kept: Final[dict[str, object]] = {  # mutable-ok: request item rebuilt without the undecryptable keys
+            key: value for key, value in reasoning.items() if key not in ("encrypted_content", "id")
+        }
+        return kept
+
+    @staticmethod
+    def _has_readable_text(value: object) -> bool:
+        """A reasoning item's ``summary``/``content`` carries readable text: a non-empty string, or a
+        list holding at least one block with a non-empty ``text`` field (summary_text / output_text)."""
+        if isinstance(value, str):
+            return bool(value.strip())
+        if isinstance(value, list):
+            return any(
+                isinstance(block, dict) and bool(cast(Mapping[str, object], block).get("text"))  # cast-ok: untyped json
+                for block in value
+            )
+        return False
+
     @staticmethod
     def _build_responses_api_response_id(
         custom_llm_provider: str | None,
diff --git a/litellm/router.py b/litellm/router.py
index 2fbdf541487..68ace283949 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -11167,6 +11167,40 @@ class Router:
 
         return ids
 
+    def get_candidate_model_ids_for_route(self, model: str, team_id: str | None = None) -> frozenset[str]:
+        """
+        Deployment ids that could serve ``model`` for ``team_id``, unioned across the paths
+        the router resolves a route through: ``model_group_alias``, a routing group, the
+        ``model_name`` and team indexes, and wildcard pattern routes. Read-only and
+        side-effect-free, unlike ``_common_checks_available_deployment`` which also applies
+        fallbacks and can raise. Lets a pre-call check tell a genuine cross-group route from
+        same-group unavailability without re-deriving that precedence at the call site, and
+        without leaking deployment ids into request kwargs bound for the provider.
+        """
+        resolved: Final = self._get_model_from_alias(model=model) or model
+        routing_group_members: Final = self._get_routing_group_deployments(model=resolved, team_id=team_id)
+        if routing_group_members is not None:
+            return self._deployment_ids(routing_group_members)
+        if resolved in self.model_names:
+            return self._deployment_ids(self._get_all_deployments(model_name=resolved, team_id=team_id))
+        team_router: Final = self.team_pattern_routers.get(team_id) if team_id is not None else None
+        return self._deployment_ids(
+            (
+                *self._get_all_deployments(model_name=resolved, team_id=team_id),
+                *(self.pattern_router.route(resolved) or ()),
+                *((team_router.route(resolved) or ()) if team_router is not None else ()),
+            )
+        )
+
+    @staticmethod
+    def _deployment_ids(deployments: Sequence[Mapping[str, object]]) -> frozenset[str]:
+        return frozenset(
+            str(model_info["id"])
+            for deployment in deployments
+            for model_info in (deployment.get("model_info"),)
+            if isinstance(model_info, Mapping) and model_info.get("id") is not None
+        )
+
     def has_model_id(self, candidate_id: str) -> bool:
         """
         O(1) membership check for a deployment ID without allocating large lists.
diff --git a/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py b/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py
index b623e31ce06..d10153881d9 100644
--- a/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py
+++ b/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py
@@ -37,13 +37,13 @@ Safe to enable globally:
 """
 
 import time
+from collections.abc import Mapping
 from typing import TYPE_CHECKING, Final, Optional, Protocol, cast
 
 import httpx
 
 from litellm._logging import verbose_router_logger
 from litellm.exceptions import (
-    BadRequestError,
     RateLimitError,
     ServiceUnavailableError,
 )
@@ -158,6 +158,23 @@ class EncryptedContentAffinityCheck(CustomLogger):
                 return deployment
         return None
 
+    @staticmethod
+    def _request_team_id(request_kwargs: Mapping[str, object]) -> str | None:
+        containers: Final = (request_kwargs.get("metadata"), request_kwargs.get("litellm_metadata"))
+        team_ids: Final = (c.get("user_api_key_team_id") for c in containers if isinstance(c, Mapping))
+        return next((tid for tid in team_ids if isinstance(tid, str)), None)
+
+    def _routed_group_candidate_model_ids(self, request_kwargs: Mapping[str, object], model: str) -> frozenset[str]:
+        """
+        Deployment ids that could serve this turn's routed ``model``, as the router
+        resolves a route (model_group_alias / routing group / model_name / team /
+        pattern). Delegates to the router so the full precedence is not re-derived here
+        and no deployment ids are written into request kwargs bound for the provider.
+        """
+        if self.router is None:
+            return frozenset()
+        return self.router.get_candidate_model_ids_for_route(model=model, team_id=self._request_team_id(request_kwargs))
+
     @staticmethod
     def _encryption_boundary_key(
         litellm_params: object,
@@ -225,10 +242,14 @@ class EncryptedContentAffinityCheck(CustomLogger):
         """
         If the request ``input`` contains litellm-encoded item IDs, decode the
         embedded ``model_id`` and pin the request to that deployment. Raises
-        ``RateLimitError`` / ``ServiceUnavailableError`` / ``BadRequestError``
-        when the originating deployment is unavailable and no encryption-boundary
-        peer exists, rather than dispatching a doomed request to a non-peer
-        deployment. The 429/503 split mirrors the originating cooldown's status:
+        ``RateLimitError`` / ``ServiceUnavailableError`` when the originating
+        deployment is a member of the routed model group but currently unavailable
+        and no encryption-boundary peer exists, rather than dispatching a doomed
+        request to a non-peer deployment. When the origin is not a member of the
+        routed group (an auto-router tier change, a model switch with no peer, a
+        removed deployment, or an unknown/forged marker), the encrypted reasoning is
+        stripped and the request dispatches with its readable history instead. The
+        429/503 split mirrors the originating cooldown's status:
         a 429-induced cooldown surfaces as 429 (with ``Retry-After`` set to the
         remaining cooldown window) so OpenAI-compatible clients back off and
         retry after the deployment is eligible again.
@@ -285,12 +306,34 @@ class EncryptedContentAffinityCheck(CustomLogger):
             request_kwargs["_encrypted_content_affinity_pinned"] = True
             return boundary_matches
 
-        # Dispatching to a non-peer would guarantee an upstream
-        # `invalid_encrypted_content` 400, so fail fast with a clearer error.
+        # The origin cannot serve this turn's routed group and no peer shares the boundary, so its
+        # encrypted reasoning can never decrypt here. Strip it, keep the readable history, and dispatch
+        # to the routed group instead of failing. Membership is tested by deployment id against the set
+        # the router actually resolved for this route, not by model-group name, so an alias, a
+        # provider-qualified spelling, a team-public name, or a pattern route of the same group is not
+        # mistaken for a tier change. An unknown origin (a removed deployment, or a forged marker) is
+        # treated the same as a cross-group one, which also denies an authenticated caller a
+        # deployment-id existence oracle: a real cross-group id and a nonexistent id both strip and
+        # dispatch rather than returning distinguishable responses. Only a genuine same-group member
+        # that is currently unavailable falls through to the fail-fast, preserving the cooldown contract.
+        routed_group_model_ids: Final = (
+            self._routed_group_candidate_model_ids(request_kwargs, model) if originating is not None else frozenset()
+        )
+        if str(model_id) not in routed_group_model_ids:
+            verbose_router_logger.debug(
+                "EncryptedContentAffinityCheck: model_id=%s is not a candidate for the routed group %s; "
+                "forwarding without its encrypted reasoning",
+                model_id,
+                model,
+            )
+            ResponsesAPIRequestUtils.strip_encrypted_reasoning_from_input(request_input)
+            return typed_healthy_deployments
+
+        # The origin is a member of the routed group but currently unavailable (cooled down); fail fast
+        # rather than dispatching to a non-peer, which would guarantee an upstream 400.
         raise await self._unavailable_origin_error(
             model=model,
             model_id=model_id,
-            originating=originating,
             parent_otel_span=parent_otel_span,
         )
 
@@ -298,25 +341,11 @@ class EncryptedContentAffinityCheck(CustomLogger):
         self,
         model: str,
         model_id: str,
-        originating: Deployment | None,
         parent_otel_span: Span | None,
     ) -> Exception:
         # Public error messages intentionally omit the originating ``model_id`` so
         # an authenticated caller forging encrypted-content markers cannot use the
         # error surface to enumerate which deployment IDs exist on this router.
-        if originating is None:
-            return BadRequestError(
-                message=(
-                    "The deployment that produced this encrypted_content is no "
-                    "longer configured on this router, and no deployment on the "
-                    "same encryption boundary is available. Re-issue the request "
-                    "without the stale encrypted_content items, or restore the "
-                    "originating deployment."
-                ),
-                model=model,
-                llm_provider="",
-            )
-
         cooldown: Final = await self._get_origin_cooldown(model_id=model_id, parent_otel_span=parent_otel_span)
 
         if cooldown is not None and str(cooldown.get("status_code")) == "429":
diff --git a/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py b/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py
index dac991a41c4..3961c8d74c2 100644
--- a/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py
+++ b/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py
@@ -16,12 +16,10 @@ The mechanism works without any cache and supports two encoding strategies:
 """
 
 import time
-from typing import List, Optional
 from unittest.mock import AsyncMock, patch
 
 import pytest
 
-
 import litellm
 from litellm.responses.utils import ResponsesAPIRequestUtils
 from litellm.types.llms.openai import ResponsesAPIResponse
@@ -68,9 +66,7 @@ class TestEncryptedItemIdCodec:
     def test_roundtrip(self):
         model_id = "deployment-1"
         original_item_id = "rs_abc123def456"
-        encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(
-            model_id, original_item_id
-        )
+        encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id)
         assert encoded.startswith("encitem_")
         decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded)
         assert decoded is not None
@@ -81,9 +77,7 @@ class TestEncryptedItemIdCodec:
         """Decoding must succeed even if base64 padding (=) was stripped in transit."""
         model_id = "gpt-5.1-codex-openai-2"
         original_item_id = "rs_0efb96cb222403210069a01d5d52588196a9dc394ffdb89d00"
-        encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(
-            model_id, original_item_id
-        )
+        encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id)
         # Strip any trailing '=' to simulate what happens in transit
         stripped = encoded.rstrip("=")
         decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(stripped)
@@ -100,9 +94,7 @@ class TestEncryptedItemIdCodec:
         """item_id values containing ';' must survive the roundtrip."""
         model_id = "deployment-1"
         original_item_id = "rs_part1;part2;part3"
-        encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(
-            model_id, original_item_id
-        )
+        encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id)
         decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded)
         assert decoded is not None
         assert decoded["item_id"] == original_item_id
@@ -118,11 +110,7 @@ class TestUpdateEncryptedContentItemIds:
                 {"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"},
             ],
         }
-        result = (
-            ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(
-                response, model_id
-            )
-        )
+        result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(response, model_id)
         # Plain message item untouched
         assert result["output"][0]["id"] == "msg_abc"
         # Reasoning item with encrypted_content gets encoded
@@ -133,16 +121,8 @@ class TestUpdateEncryptedContentItemIds:
         assert decoded["item_id"] == "rs_xyz"
 
     def test_no_op_when_model_id_is_none(self):
-        response = {
-            "output": [
-                {"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"}
-            ]
-        }
-        result = (
-            ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(
-                response, None
-            )
-        )
+        response = {"output": [{"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"}]}
+        result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(response, None)
         assert result["output"][0]["id"] == "rs_xyz"
 
 
@@ -151,9 +131,7 @@ class TestEncryptedContentWrapping:
         """Test wrapping encrypted_content with model_id metadata."""
         model_id = "deployment-1"
         original_content = "gAAAAABpnW_yEYmSNEyOG_original_encrypted_data"
-        wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(
-            original_content, model_id
-        )
+        wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_content, model_id)
         assert wrapped.startswith("litellm_enc:")
         assert wrapped != original_content
 
@@ -170,9 +148,7 @@ class TestEncryptedContentWrapping:
         (
             model_id,
             content,
-        ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(
-            plain_content
-        )
+        ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(plain_content)
         assert model_id is None
         assert content == plain_content
 
@@ -189,11 +165,7 @@ class TestEncryptedContentWrapping:
                 },
             ],
         }
-        result = (
-            ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(
-                response, model_id
-            )
-        )
+        result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(response, model_id)
         assert result["output"][0].get("encrypted_content") is None
         wrapped = result["output"][1]["encrypted_content"]
         assert wrapped.startswith("litellm_enc:")
@@ -210,19 +182,13 @@ class TestRestoreEncryptedContentItemIds:
     def test_restores_encoded_ids(self):
         model_id = "deployment-1"
         original_id = "rs_encrypted_item_456"
-        encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-            model_id, original_id
-        )
+        encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_id)
 
         request_input = [
             {"type": "message", "id": "msg_abc123", "role": "assistant"},
             {"type": "reasoning", "id": encoded_id, "encrypted_content": "secret"},
         ]
-        restored = (
-            ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(
-                request_input
-            )
-        )
+        restored = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(request_input)
         assert restored[0]["id"] == "msg_abc123"
         assert restored[1]["id"] == original_id
 
@@ -230,33 +196,21 @@ class TestRestoreEncryptedContentItemIds:
         """Test that wrapped encrypted_content is unwrapped before forwarding."""
         model_id = "deployment-1"
         original_content = "gAAAAABpnW_yEYmSNEyOG_original"
-        wrapped_content = (
-            ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(
-                original_content, model_id
-            )
-        )
+        wrapped_content = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_content, model_id)
 
         request_input = [
             {"type": "reasoning", "encrypted_content": wrapped_content},
         ]
-        restored = (
-            ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(
-                request_input
-            )
-        )
+        restored = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(request_input)
         assert restored[0]["encrypted_content"] == original_content
 
     def test_no_op_for_plain_string_input(self):
-        result = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(
-            "Hello world"
-        )
+        result = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input("Hello world")
         assert result == "Hello world"
 
     def test_no_op_for_unencoded_ids(self):
         request_input = [{"type": "message", "id": "msg_plain"}]
-        result = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(
-            request_input
-        )
+        result = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(request_input)
         assert result[0]["id"] == "msg_plain"
 
 
@@ -283,9 +237,7 @@ async def test_encrypted_content_affinity_tracks_and_routes():
                 "id": "msg_abc123",
                 "status": "completed",
                 "role": "assistant",
-                "content": [
-                    {"type": "output_text", "text": "Hello!", "annotations": []}
-                ],
+                "content": [{"type": "output_text", "text": "Hello!", "annotations": []}],
             },
             {
                 "type": "reasoning",
@@ -347,9 +299,9 @@ async def test_encrypted_content_affinity_tracks_and_routes():
 
         # The response must have rewritten the encrypted item's ID to encoded form
         encoded_item_id = _extract_encoded_item_id(first_response)
-        assert encoded_item_id.startswith(
-            "encitem_"
-        ), f"Expected output item ID to be rewritten to encitem_... but got {encoded_item_id!r}"
+        assert encoded_item_id.startswith("encitem_"), (
+            f"Expected output item ID to be rewritten to encitem_... but got {encoded_item_id!r}"
+        )
 
         # Verify the encoded ID decodes back to the correct deployment + original ID
         decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded_item_id)
@@ -371,9 +323,9 @@ async def test_encrypted_content_affinity_tracks_and_routes():
         )
         second_model_id = second_response._hidden_params["model_id"]
 
-        assert (
-            second_model_id == first_model_id
-        ), f"Expected affinity to route to {first_model_id}, but got {second_model_id}"
+        assert second_model_id == first_model_id, (
+            f"Expected affinity to route to {first_model_id}, but got {second_model_id}"
+        )
 
 
 @pytest.mark.asyncio
@@ -478,9 +430,7 @@ async def test_encrypted_content_affinity_bypasses_rpm_limits():
 
         # Extract encoded item ID from the first response output
         encoded_item_id = _extract_encoded_item_id(first_response)
-        assert encoded_item_id.startswith(
-            "encitem_"
-        ), f"Expected encitem_... but got {encoded_item_id!r}"
+        assert encoded_item_id.startswith("encitem_"), f"Expected encitem_... but got {encoded_item_id!r}"
 
         # Follow-up with the encoded item ID — should pin to same deployment
         second_response = await router.aresponses(
@@ -628,17 +578,13 @@ async def test_encrypted_content_affinity_with_wrapped_content_no_id():
             if hasattr(first_item, "encrypted_content")
             else first_item.get("encrypted_content")
         )
-        assert wrapped_content.startswith(
-            "litellm_enc:"
-        ), f"Expected wrapped content but got {wrapped_content[:50]}..."
+        assert wrapped_content.startswith("litellm_enc:"), f"Expected wrapped content but got {wrapped_content[:50]}..."
 
         # Verify we can extract model_id from wrapped content
         (
             extracted_model_id,
             _,
-        ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(
-            wrapped_content
-        )
+        ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped_content)
         assert extracted_model_id == first_model_id
 
         # Second request: use wrapped encrypted_content WITHOUT an ID (Codex behavior)
@@ -653,9 +599,9 @@ async def test_encrypted_content_affinity_with_wrapped_content_no_id():
         )
         second_model_id = second_response._hidden_params["model_id"]
 
-        assert (
-            second_model_id == first_model_id
-        ), f"Expected affinity to route to {first_model_id}, but got {second_model_id}"
+        assert second_model_id == first_model_id, (
+            f"Expected affinity to route to {first_model_id}, but got {second_model_id}"
+        )
 
 
 def test_encrypted_content_wrapping_preserves_original_content():
@@ -664,13 +610,9 @@ def test_encrypted_content_wrapping_preserves_original_content():
     This is critical for streaming responses where content must round-trip correctly.
     """
     model_id = "test-deployment-1"
-    original_encrypted_content = (
-        "gAAAAABpnW_yEYmSNEyOG_streaming_test_content_with_special_chars==+/"
-    )
+    original_encrypted_content = "gAAAAABpnW_yEYmSNEyOG_streaming_test_content_with_special_chars==+/"
 
-    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(
-        original_encrypted_content, model_id
-    )
+    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_encrypted_content, model_id)
 
     assert wrapped.startswith("litellm_enc:")
     assert wrapped != original_encrypted_content
@@ -691,9 +633,7 @@ def test_encrypted_content_wrapping_with_multiple_semicolons():
     model_id = "deployment-with-semicolons"
     original_content = "gAAAAAB;some;content;with;semicolons"
 
-    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(
-        original_content, model_id
-    )
+    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_content, model_id)
 
     (
         extracted_model_id,
@@ -764,9 +704,7 @@ async def test_encrypted_content_affinity_preserves_litellm_metadata_for_respons
         request_kwargs=request_kwargs,
     )
 
-    assert (
-        request_kwargs["litellm_metadata"]["encrypted_content_affinity_enabled"] is True
-    )
+    assert request_kwargs["litellm_metadata"]["encrypted_content_affinity_enabled"] is True
     assert request_kwargs["litellm_metadata"]["model_info"] == {"id": "dep-1"}
 
 
@@ -777,9 +715,7 @@ def test_encrypted_content_wrapping_empty_string():
     model_id = "test-deployment"
     original_content = ""
 
-    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(
-        original_content, model_id
-    )
+    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_content, model_id)
 
     assert wrapped.startswith("litellm_enc:")
 
@@ -1132,9 +1068,7 @@ def test_boundary_key_accepts_pydantic_litellm_params_instance():
         "api_key": "fake-azure-resource-key-a",
     }
 
-    pydantic_key = EncryptedContentAffinityCheck._encryption_boundary_key(
-        pydantic_params
-    )
+    pydantic_key = EncryptedContentAffinityCheck._encryption_boundary_key(pydantic_params)
     plain_key = EncryptedContentAffinityCheck._encryption_boundary_key(plain_params)
 
     assert pydantic_key is not None
@@ -1161,18 +1095,8 @@ def test_boundary_key_rejects_non_dict_like_inputs():
     for bad in (None, [], "not a dict", 42, object()):
         assert EncryptedContentAffinityCheck._encryption_boundary_key(bad) is None
 
-    assert (
-        EncryptedContentAffinityCheck._encryption_boundary_key(
-            {"api_base": "", "api_key": "k"}
-        )
-        is None
-    )
-    assert (
-        EncryptedContentAffinityCheck._encryption_boundary_key(
-            {"api_base": "https://x"}
-        )
-        is None
-    )
+    assert EncryptedContentAffinityCheck._encryption_boundary_key({"api_base": "", "api_key": "k"}) is None
+    assert EncryptedContentAffinityCheck._encryption_boundary_key({"api_base": "https://x"}) is None
 
 
 # ---------------------------------------------------------------------------
@@ -1180,10 +1104,11 @@ def test_boundary_key_rejects_non_dict_like_inputs():
 # ---------------------------------------------------------------------------
 
 
-def _make_originating_mock(api_base: str, api_key: str):
+def _make_originating_mock(api_base: str, api_key: str, model_name: str = "gpt-5.4"):
     from unittest.mock import MagicMock
 
     originating = MagicMock()
+    originating.model_name = model_name
     originating.litellm_params.model_dump.return_value = {
         "api_base": api_base,
         "api_key": api_key,
@@ -1192,19 +1117,23 @@ def _make_originating_mock(api_base: str, api_key: str):
 
 
 def _make_router_mock_with_cooldown(
-    originating, cooldown_entries: Optional[List[tuple]] = None
+    originating,
+    cooldown_entries: list[tuple] | None = None,
+    routed_group_model_ids: list[str] | None = None,
 ):
     """
     Build a MagicMock router whose ``cooldown_cache.async_get_active_cooldowns``
-    returns ``cooldown_entries`` (defaulting to ``[]`` — no active cooldown).
+    returns ``cooldown_entries`` (defaulting to ``[]`` — no active cooldown), and
+    whose ``get_candidate_model_ids_for_route`` returns ``routed_group_model_ids``
+    (the deployment ids the router resolves for the routed model; defaulting to ``[]``
+    — origin absent from the routed group, i.e. a tier change).
     """
     from unittest.mock import AsyncMock, MagicMock
 
     mock_router = MagicMock()
     mock_router.get_deployment.return_value = originating
-    mock_router.cooldown_cache.async_get_active_cooldowns = AsyncMock(
-        return_value=list(cooldown_entries or [])
-    )
+    mock_router.cooldown_cache.async_get_active_cooldowns = AsyncMock(return_value=list(cooldown_entries or []))
+    mock_router.get_candidate_model_ids_for_route.return_value = frozenset(routed_group_model_ids or [])
     return mock_router
 
 
@@ -1235,15 +1164,15 @@ async def test_affinity_raises_service_unavailable_when_origin_cooled_for_non_42
                 },
             )
         ],
+        routed_group_model_ids=["deployment-a-cooled", "deployment-b"],
     )
 
     check = EncryptedContentAffinityCheck(router=mock_router)
-    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-        "deployment-a-cooled", "rs_test"
-    )
+    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a-cooled", "rs_test")
     healthy_only_b = [
         {
             "model_info": {"id": "deployment-b"},
+            "model_name": "gpt-5.4",
             "litellm_params": {
                 "api_base": "https://account-b.openai.azure.com/",
                 "api_key": "key-b",
@@ -1297,15 +1226,15 @@ async def test_affinity_raises_rate_limit_with_retry_after_when_origin_cooled_fo
                 },
             )
         ],
+        routed_group_model_ids=["deployment-a-cooled-429", "deployment-b"],
     )
 
     check = EncryptedContentAffinityCheck(router=mock_router)
-    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-        "deployment-a-cooled-429", "rs_test"
-    )
+    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a-cooled-429", "rs_test")
     healthy_only_b = [
         {
             "model_info": {"id": "deployment-b"},
+            "model_name": "gpt-5.4",
             "litellm_params": {
                 "api_base": "https://account-b.openai.azure.com/",
                 "api_key": "key-b",
@@ -1345,15 +1274,16 @@ async def test_affinity_raises_service_unavailable_when_origin_filtered_without_
     )
 
     originating = _make_originating_mock("https://account-a.openai.azure.com/", "key-a")
-    mock_router = _make_router_mock_with_cooldown(originating, cooldown_entries=[])
+    mock_router = _make_router_mock_with_cooldown(
+        originating, cooldown_entries=[], routed_group_model_ids=["deployment-a-filtered", "deployment-b"]
+    )
 
     check = EncryptedContentAffinityCheck(router=mock_router)
-    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-        "deployment-a-filtered", "rs_test"
-    )
+    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a-filtered", "rs_test")
     healthy_only_b = [
         {
             "model_info": {"id": "deployment-b"},
+            "model_name": "gpt-5.4",
             "litellm_params": {
                 "api_base": "https://account-b.openai.azure.com/",
                 "api_key": "key-b",
@@ -1377,15 +1307,18 @@ async def test_affinity_raises_service_unavailable_when_origin_filtered_without_
 
 
 @pytest.mark.asyncio
-async def test_affinity_raises_bad_request_when_origin_removed():
+async def test_affinity_strips_and_dispatches_when_origin_is_unknown_or_removed():
     """
-    Originating deployment was removed from the router config and no boundary
-    peer is available. This is permanent (the stale encrypted_content cannot
-    be honored), so surface a 400 with actionable text.
+    A removed deployment, or a forged/unknown affinity marker, resolves to no
+    originating deployment. It is handled like a cross-group origin: the encrypted
+    reasoning is stripped and the request dispatches with its readable history,
+    rather than returning a distinguishable error. That uniform handling denies an
+    authenticated caller a deployment-id existence oracle, an existing cross-group id
+    and a nonexistent id both strip and proceed, so responses cannot be told apart.
+    The membership lookup is skipped entirely when the origin is unknown.
     """
     from unittest.mock import MagicMock
 
-    from litellm.exceptions import BadRequestError
     from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import (
         EncryptedContentAffinityCheck,
     )
@@ -1394,12 +1327,11 @@ async def test_affinity_raises_bad_request_when_origin_removed():
     mock_router.get_deployment.return_value = None
 
     check = EncryptedContentAffinityCheck(router=mock_router)
-    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-        "deployment-removed", "rs_test"
-    )
-    healthy_only_b = [
+    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-removed")
+    routed_pool = [
         {
             "model_info": {"id": "deployment-b"},
+            "model_name": "gpt-5.4",
             "litellm_params": {
                 "api_base": "https://account-b.openai.azure.com/",
                 "api_key": "key-b",
@@ -1408,18 +1340,28 @@ async def test_affinity_raises_bad_request_when_origin_removed():
         }
     ]
     request_kwargs = {
-        "input": [{"id": encoded_id, "type": "reasoning"}],
+        "litellm_metadata": {},
+        "input": [
+            {"role": "user", "content": "why is the sky blue?"},
+            {
+                "type": "reasoning",
+                "encrypted_content": wrapped,
+                "summary": [{"type": "summary_text", "text": "scattering"}],
+            },
+            {"role": "user", "content": "and sunsets?"},
+        ],
     }
 
-    with pytest.raises(BadRequestError) as excinfo:
-        await check.async_filter_deployments(
-            model="gpt-5.4",
-            healthy_deployments=healthy_only_b,
-            messages=None,
-            request_kwargs=request_kwargs,
-        )
+    result = await check.async_filter_deployments(
+        model="gpt-5.4",
+        healthy_deployments=routed_pool,
+        messages=None,
+        request_kwargs=request_kwargs,
+    )
 
-    assert "deployment-removed" not in str(excinfo.value)
+    assert result is routed_pool
+    assert not any(isinstance(item, dict) and item.get("encrypted_content") for item in request_kwargs["input"])
+    mock_router.get_candidate_model_ids_for_route.assert_not_called()
 
 
 @pytest.mark.asyncio
@@ -1444,9 +1386,7 @@ async def test_affinity_does_not_raise_when_boundary_peer_available():
     mock_router.get_deployment.return_value = originating
 
     check = EncryptedContentAffinityCheck(router=mock_router)
-    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-        "deployment-a", "rs_test"
-    )
+    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a", "rs_test")
     peer = {
         "model_info": {"id": "deployment-a-peer"},
         "litellm_params": {
@@ -1490,9 +1430,7 @@ async def test_model_group_affinity_config_enables_encrypted_content_affinity():
         },
         target_deployment,
     ]
-    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-        "deployment-b", "rs_test"
-    )
+    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-b", "rs_test")
     request_kwargs = {
         "input": [{"type": "reasoning", "id": encoded_id}],
         "litellm_metadata": {},
@@ -1536,9 +1474,7 @@ async def test_model_group_affinity_config_does_not_disable_global_encrypted_con
         },
         target_deployment,
     ]
-    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-        "deployment-b", "rs_test"
-    )
+    encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-b", "rs_test")
     request_kwargs = {
         "input": [{"type": "reasoning", "id": encoded_id}],
         "litellm_metadata": {},
@@ -1600,15 +1536,9 @@ async def test_model_group_encrypted_content_affinity_overrides_global_deploymen
 
     try:
         callbacks = router.optional_callbacks or []
-        deployment_callback = next(
-            cb for cb in callbacks if isinstance(cb, DeploymentAffinityCheck)
-        )
-        encrypted_content_callback = next(
-            cb for cb in callbacks if isinstance(cb, EncryptedContentAffinityCheck)
-        )
-        assert callbacks.index(encrypted_content_callback) < callbacks.index(
-            deployment_callback
-        )
+        deployment_callback = next(cb for cb in callbacks if isinstance(cb, DeploymentAffinityCheck))
+        encrypted_content_callback = next(cb for cb in callbacks if isinstance(cb, EncryptedContentAffinityCheck))
+        assert callbacks.index(encrypted_content_callback) < callbacks.index(deployment_callback)
         assert encrypted_content_callback.enable_global_affinity is False
 
         cache_key = DeploymentAffinityCheck.get_affinity_cache_key(
@@ -1620,9 +1550,7 @@ async def test_model_group_encrypted_content_affinity_overrides_global_deploymen
             value={"model_id": "deployment-a"},
             ttl=60,
         )
-        encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(
-            "deployment-b", "rs_test"
-        )
+        encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-b", "rs_test")
         request_kwargs = {
             "input": [
                 {
@@ -1643,16 +1571,301 @@ async def test_model_group_encrypted_content_affinity_overrides_global_deploymen
         )
         assert after_deployment_affinity == [deployment_a, deployment_b]
 
-        after_encrypted_content_affinity = (
-            await encrypted_content_callback.async_filter_deployments(
-                model=model_group,
-                healthy_deployments=after_deployment_affinity,
-                messages=None,
-                request_kwargs=request_kwargs,
-            )
+        after_encrypted_content_affinity = await encrypted_content_callback.async_filter_deployments(
+            model=model_group,
+            healthy_deployments=after_deployment_affinity,
+            messages=None,
+            request_kwargs=request_kwargs,
         )
 
         assert after_encrypted_content_affinity == [deployment_b]
         assert request_kwargs.get("_encrypted_content_affinity_pinned") is True
     finally:
         router.discard()
+
+
+class TestStripEncryptedReasoningFromInput:
+    def test_keeps_summary_and_drops_encrypted_content_and_id(self):
+        wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-a")
+        encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a", "rs_1")
+        request_input = [
+            {"role": "user", "content": "first turn"},
+            {
+                "type": "reasoning",
+                "id": encoded_id,
+                "encrypted_content": wrapped,
+                "summary": [{"type": "summary_text", "text": "thought about it"}],
+            },
+            {"type": "reasoning", "id": encoded_id, "encrypted_content": wrapped},
+            {"type": "reasoning", "encrypted_content": wrapped, "summary": []},
+            {"type": "message", "id": "msg_1", "role": "assistant", "content": "hi"},
+            {"role": "user", "content": "second turn"},
+        ]
+        ResponsesAPIRequestUtils.strip_encrypted_reasoning_from_input(request_input)
+        assert request_input == [
+            {"role": "user", "content": "first turn"},
+            {
+                "type": "reasoning",
+                "summary": [{"type": "summary_text", "text": "thought about it"}],
+            },
+            {"type": "message", "id": "msg_1", "role": "assistant", "content": "hi"},
+            {"role": "user", "content": "second turn"},
+        ]
+
+    def test_keeps_string_form_summary_when_stripping(self):
+        wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-a")
+        request_input = [
+            {"type": "reasoning", "encrypted_content": wrapped, "summary": "plain string thought"},
+            {
+                "type": "reasoning",
+                "encrypted_content": wrapped,
+                "content": [{"type": "output_text", "text": "in content"}],
+            },
+            {"type": "reasoning", "encrypted_content": wrapped, "summary": "", "content": []},
+        ]
+        ResponsesAPIRequestUtils.strip_encrypted_reasoning_from_input(request_input)
+        assert request_input == [
+            {"type": "reasoning", "summary": "plain string thought"},
+            {"type": "reasoning", "content": [{"type": "output_text", "text": "in content"}]},
+        ]
+
+    def test_leaves_input_untouched_when_no_encrypted_reasoning(self):
+        request_input = [
+            {"role": "user", "content": "first turn"},
+            {"type": "reasoning", "summary": [{"type": "summary_text", "text": "no blob here"}]},
+            {"role": "user", "content": "second turn"},
+        ]
+        before = [dict(item) for item in request_input]
+        ResponsesAPIRequestUtils.strip_encrypted_reasoning_from_input(request_input)
+        assert request_input == before
+
+
+def _cross_group_request_kwargs():
+    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-a")
+    return {
+        "litellm_metadata": {},
+        "input": [
+            {"role": "user", "content": "ZEBRA: why is the sky blue?"},
+            {
+                "type": "reasoning",
+                "encrypted_content": wrapped,
+                "summary": [{"type": "summary_text", "text": "scattering"}],
+            },
+            {"type": "message", "role": "assistant", "content": "Rayleigh scattering."},
+            {"role": "user", "content": "KIWI: and sunsets?"},
+        ],
+    }
+
+
+@pytest.mark.asyncio
+async def test_affinity_strips_encrypted_reasoning_when_routed_to_another_model_group():
+    """
+    An auto-router tier change (or a model switch with no boundary peer): the
+    routed pool holds no deployment of the origin's model group. The origin is
+    healthy, so a 503 would be wrong; the follow-up dispatches to the routed
+    pool with the origin's encrypted reasoning stripped and its summary kept.
+    """
+    from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import (
+        EncryptedContentAffinityCheck,
+    )
+
+    originating = _make_originating_mock(None, "key-a", model_name="gpt-reasoning-tier")
+    mock_router = _make_router_mock_with_cooldown(
+        originating, cooldown_entries=[], routed_group_model_ids=["deployment-b"]
+    )
+    check = EncryptedContentAffinityCheck(router=mock_router)
+    routed_pool = [
+        {
+            "model_info": {"id": "deployment-b"},
+            "model_name": "gpt-simple-tier",
+            "litellm_params": {
+                "api_base": "https://gateway.example/v1",
+                "api_key": "key-b",
+                "model": "openai/gpt-5-nano",
+            },
+        }
+    ]
+    request_kwargs = _cross_group_request_kwargs()
+    original_input = request_kwargs["input"]
+
+    result = await check.async_filter_deployments(
+        model="gpt-simple-tier",
+        healthy_deployments=routed_pool,
+        messages=None,
+        request_kwargs=request_kwargs,
+    )
+
+    assert result is routed_pool
+    assert "_encrypted_content_affinity_pinned" not in request_kwargs
+    assert request_kwargs["litellm_metadata"]["encrypted_content_affinity_enabled"] is True
+    assert request_kwargs["input"] is original_input
+    assert [item.get("type") or item["role"] for item in original_input] == [
+        "user",
+        "reasoning",
+        "message",
+        "user",
+    ]
+    assert original_input[1] == {
+        "type": "reasoning",
+        "summary": [{"type": "summary_text", "text": "scattering"}],
+    }
+    assert not any(isinstance(item, dict) and item.get("encrypted_content") for item in original_input)
+
+
+@pytest.mark.asyncio
+async def test_affinity_fails_fast_within_the_origins_own_group():
+    """
+    Negative class for the tier-change discriminator: the routed group IS the
+    origin's group (a same-group cooldown, not a tier change), so even with a
+    healthy non-origin sibling that cannot decrypt the content, the request
+    still fails fast and the encrypted reasoning is left intact rather than
+    stripped. Preserves the LIT-3051 cooldown contract.
+    """
+    from litellm.exceptions import ServiceUnavailableError
+    from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import (
+        EncryptedContentAffinityCheck,
+    )
+
+    originating = _make_originating_mock(
+        "https://account-a.openai.azure.com/", "key-a", model_name="gpt-reasoning-tier"
+    )
+    mock_router = _make_router_mock_with_cooldown(
+        originating, cooldown_entries=[], routed_group_model_ids=["deployment-a", "deployment-a2"]
+    )
+    check = EncryptedContentAffinityCheck(router=mock_router)
+    sibling_pool = [
+        {
+            "model_info": {"id": "deployment-a2"},
+            "model_name": "gpt-reasoning-tier",
+            "litellm_params": {
+                "api_base": "https://account-a2.openai.azure.com/",
+                "api_key": "key-a2",
+                "model": "azure/gpt-5.4",
+            },
+        }
+    ]
+    request_kwargs = _cross_group_request_kwargs()
+
+    with pytest.raises(ServiceUnavailableError):
+        await check.async_filter_deployments(
+            model="gpt-reasoning-tier",
+            healthy_deployments=sibling_pool,
+            messages=None,
+            request_kwargs=request_kwargs,
+        )
+
+    assert request_kwargs["input"][1].get("encrypted_content")
+
+
+@pytest.mark.asyncio
+async def test_affinity_does_not_strip_when_group_is_spelled_differently_but_same_by_id():
+    """
+    The discriminator must key on deployment-id membership, not on the model-group
+    name string. Here the origin's configured group is spelled ``openai/gpt-5.4-mini``
+    while the routed group is the canonical ``gpt-5.4-mini``: same group, different
+    spelling. A name compare (``originating.model_name != model``) would read this as
+    a tier change and strip the reasoning it did not have to. Because the origin's id
+    is a member of the routed group, this is a same-group cooldown instead: the request
+    fails fast and the encrypted reasoning is left intact.
+    """
+    from litellm.exceptions import ServiceUnavailableError
+    from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import (
+        EncryptedContentAffinityCheck,
+    )
+
+    originating = _make_originating_mock(None, "key-a", model_name="openai/gpt-5.4-mini")
+    mock_router = _make_router_mock_with_cooldown(
+        originating, cooldown_entries=[], routed_group_model_ids=["deployment-mini-a", "deployment-mini-b"]
+    )
+    check = EncryptedContentAffinityCheck(router=mock_router)
+    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-mini-a")
+    sibling_pool = [
+        {
+            "model_info": {"id": "deployment-mini-b"},
+            "model_name": "gpt-5.4-mini",
+            "litellm_params": {
+                "api_base": "https://gateway.example/v1",
+                "api_key": "key-b",
+                "model": "openai/gpt-5.4-mini",
+            },
+        }
+    ]
+    request_kwargs = {
+        "litellm_metadata": {},
+        "input": [
+            {"role": "user", "content": "why is the sky blue?"},
+            {
+                "type": "reasoning",
+                "encrypted_content": wrapped,
+                "summary": [{"type": "summary_text", "text": "scattering"}],
+            },
+            {"role": "user", "content": "and sunsets?"},
+        ],
+    }
+
+    with pytest.raises(ServiceUnavailableError):
+        await check.async_filter_deployments(
+            model="gpt-5.4-mini",
+            healthy_deployments=sibling_pool,
+            messages=None,
+            request_kwargs=request_kwargs,
+        )
+
+    assert request_kwargs["input"][1].get("encrypted_content")
+
+
+@pytest.mark.asyncio
+async def test_affinity_honors_router_candidate_ids_for_team_and_pattern_routes():
+    """
+    The exact `model_name` index does not include team-public or pattern routes, so a
+    same-group cooldown reached only through one of those would be misread as a tier change
+    and stripped. The check asks the router for the candidate ids it resolves for the route
+    (`get_candidate_model_ids_for_route`), which covers those paths, rather than the bare
+    index. Here that set marks the origin as a candidate, so the request fails fast with its
+    reasoning intact, and the routed group and team are passed through to the router.
+    """
+    from litellm.exceptions import ServiceUnavailableError
+    from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import (
+        EncryptedContentAffinityCheck,
+    )
+
+    originating = _make_originating_mock(None, "key-a", model_name="model_name_teamA_uuid")
+    mock_router = _make_router_mock_with_cooldown(
+        originating, cooldown_entries=[], routed_group_model_ids=["deployment-team-a", "deployment-team-b"]
+    )
+    check = EncryptedContentAffinityCheck(router=mock_router)
+    wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-team-a")
+    sibling_pool = [
+        {
+            "model_info": {"id": "deployment-team-b"},
+            "model_name": "team-public-model",
+            "litellm_params": {
+                "api_base": "https://gateway.example/v1",
+                "api_key": "key-b",
+                "model": "openai/gpt-5.4-mini",
+            },
+        }
+    ]
+    request_kwargs = {
+        "litellm_metadata": {"user_api_key_team_id": "teamA"},
+        "input": [
+            {"role": "user", "content": "why is the sky blue?"},
+            {
+                "type": "reasoning",
+                "encrypted_content": wrapped,
+                "summary": [{"type": "summary_text", "text": "scattering"}],
+            },
+            {"role": "user", "content": "and sunsets?"},
+        ],
+    }
+
+    with pytest.raises(ServiceUnavailableError):
+        await check.async_filter_deployments(
+            model="team-public-model",
+            healthy_deployments=sibling_pool,
+            messages=None,
+            request_kwargs=request_kwargs,
+        )
+
+    assert request_kwargs["input"][1].get("encrypted_content")
+    mock_router.get_candidate_model_ids_for_route.assert_called_once_with(model="team-public-model", team_id="teamA")
diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py
index bc79c5f6589..80da922724d 100644
--- a/tests/test_litellm/test_router.py
+++ b/tests/test_litellm/test_router.py
@@ -14728,3 +14728,45 @@ def test_router_stays_quiet_when_a_deployment_drop_params_is_a_flag(value, caplo
         )
 
     assert "is not a flag value" not in caplog.text
+
+
+def test_get_candidate_model_ids_for_route_covers_model_name_and_pattern():
+    """
+    get_candidate_model_ids_for_route resolves a route the way the router does, so a
+    pre-call check can tell a genuine cross-group route from same-group unavailability.
+    A concrete model group returns its member ids; a wildcard/pattern deployment is
+    included for a concrete model it matches, which the bare model_name index misses.
+    Regression guard for the LIT-7195 tier-change discriminator's team/pattern gaps.
+    """
+    router = Router(
+        model_list=[
+            {
+                "model_name": "grp",
+                "litellm_params": {"model": "openai/gpt-4o", "api_key": "sk-a", "api_base": "https://x.invalid"},
+                "model_info": {"id": "dep-a"},
+            },
+            {
+                "model_name": "grp",
+                "litellm_params": {"model": "openai/gpt-4o-mini", "api_key": "sk-b", "api_base": "https://x.invalid"},
+                "model_info": {"id": "dep-b"},
+            },
+            {
+                "model_name": "openai/*",
+                "litellm_params": {"model": "openai/*", "api_key": "sk-c", "api_base": "https://x.invalid"},
+                "model_info": {"id": "dep-wild"},
+            },
+        ]
+    )
+
+    assert router.get_candidate_model_ids_for_route(model="grp") == frozenset({"dep-a", "dep-b"})
+    assert "dep-wild" in router.get_candidate_model_ids_for_route(model="openai/gpt-4o-some-new-model")
+
+
+def test_deployment_ids_stringifies_ids_and_skips_entries_without_a_model_info_id():
+    deployments = (
+        {"model_info": {"id": "a"}},
+        {"model_info": {"id": 2}},
+        {"model_info": {}},
+        {"no_model_info": True},
+    )
+    assert Router._deployment_ids(deployments) == frozenset({"a", "2"})

From 096984bfc2f146e6e4bb6c259e8daab885a5e5f6 Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Wed, 9 Sep 2026 11:19:29 -0700
Subject: [PATCH 215/223] fix(proxy): pin multi-root CA bundle to the server's
 root before handing it to Prisma (#40428)

Co-authored-by: yassin <yassin@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/proxy/db/db_url_settings.py           | 107 +++++++++-
 .../proxy/db/test_db_url_settings.py          | 199 ++++++++++++++++--
 2 files changed, 282 insertions(+), 24 deletions(-)

diff --git a/litellm/proxy/db/db_url_settings.py b/litellm/proxy/db/db_url_settings.py
index 4a0231ad9df..d1e4b3e92b8 100644
--- a/litellm/proxy/db/db_url_settings.py
+++ b/litellm/proxy/db/db_url_settings.py
@@ -34,12 +34,20 @@ writer's connection params (pool size, timeouts, pgbouncer mode) for the
 ones the reader URL does not pin itself.
 """
 
+import _ssl
+import hashlib
 import os
+import socket
+import ssl
+import struct
+import sys
+import tempfile
 import urllib.parse
-from collections.abc import Mapping
+from collections.abc import Callable, Mapping, Sequence
 from functools import partial
+from pathlib import Path
 from types import MappingProxyType
-from typing import Annotated, Final, cast
+from typing import Annotated, Final, Protocol, TypeAlias, cast
 
 from pydantic import AliasChoices, BeforeValidator, Field
 from pydantic_settings import BaseSettings, SettingsConfigDict
@@ -126,21 +134,100 @@ def add_missing_query_params(url: str, params: Mapping[str, str | int | float])
 
 
 LIBPQ_VERIFY_SSLMODES: Final[frozenset[str]] = frozenset({"verify-ca", "verify-full"})
+PEM_CERT_HEADER: Final = b"-----BEGIN CERTIFICATE-----"
+PG_SSL_REQUEST: Final = struct.pack("!ii", 8, 80877103)
+TLS_PROBE_TIMEOUT_SECONDS: Final = 10.0
+
+RootCertResolver: TypeAlias = Callable[[str, str, int], str]  # mutable-ok: Callable parameter syntax
 
 
-def translate_libpq_ssl_params(url: str) -> str:
+class _VerifiedChainSource(Protocol):
+    def get_verified_chain(self) -> Sequence[_ssl.Certificate] | None: ...
+
+
+def _verified_chain_der(tls: ssl.SSLSocket) -> tuple[bytes, ...]:
+    if sys.version_info >= (3, 13):
+        return tuple(tls.get_verified_chain())
+    legacy: Final = cast(  # cast-ok: the stub omits _sslobj, the C object has get_verified_chain since 3.10
+        "_VerifiedChainSource | None",
+        tls._sslobj,  # pyright: ignore[reportAttributeAccessIssue, reportUnknownMemberType]  # public API only from 3.13
+    )
+    chain: Final = () if legacy is None else legacy.get_verified_chain() or ()
+    return tuple(cert.public_bytes(_ssl.ENCODING_DER) for cert in chain)
+
+
+def _server_trust_anchor(cafile: str, host: str, port: int) -> bytes | None:
+    try:
+        context: Final = ssl.create_default_context(cafile=cafile)
+        with socket.create_connection((host, port), timeout=TLS_PROBE_TIMEOUT_SECONDS) as raw:
+            raw.sendall(PG_SSL_REQUEST)
+            if raw.recv(1) != b"S":
+                return None
+            with context.wrap_socket(raw, server_hostname=host) as tls:
+                chain: Final = _verified_chain_der(tls)
+    except (OSError, ValueError):
+        return None
+    return chain[-1] if chain else None
+
+
+def pin_bundle_root(cert_path: str, host: str, port: int) -> str:
+    """Reduce a multi-root CA bundle to the one root that verifies ``host``.
+
+    Prisma's ``sslcert`` loads a single PEM certificate (native-tls
+    ``Certificate::from_pem``), so pointing it at a bundle such as the AWS RDS
+    global bundle trusts only the first of its 108 regional roots and the
+    handshake fails with "unable to get local issuer certificate" for every
+    other region. A single-certificate file is returned as is. For a bundle,
+    one verifying handshake (chain and hostname, whole bundle as trust store)
+    identifies the trust anchor the server actually chains to, which is
+    written to a single-certificate file for Prisma. If the probe fails the
+    bundle path is returned unchanged, so Prisma fails closed exactly as
+    before rather than trusting anything the bundle would not.
+    """
+    try:
+        if Path(cert_path).read_bytes().count(PEM_CERT_HEADER) < 2:
+            return cert_path
+    except OSError:
+        return cert_path
+    root: Final = _server_trust_anchor(cert_path, host, port)
+    if root is None:
+        return cert_path
+    pinned: Final = Path(tempfile.gettempdir()) / f"litellm-sslcert-{hashlib.sha256(root).hexdigest()[:16]}.pem"
+    return str(pinned) if _replace_file(pinned, ssl.DER_cert_to_PEM_cert(root)) else cert_path
+
+
+def _replace_file(target: Path, content: str) -> bool:
+    """Write ``content`` to a private temp file and rename it over ``target``, so
+    readers never see a partial file and a symlink planted at ``target`` is
+    replaced rather than followed."""
+    try:
+        fd, staged = tempfile.mkstemp(dir=target.parent, prefix=f"{target.name}.")
+    except OSError:
+        return False
+    try:
+        with os.fdopen(fd, "w") as handle:
+            handle.write(content)
+        os.replace(staged, target)
+    except OSError:
+        Path(staged).unlink(missing_ok=True)
+        return False
+    return True
+
+
+def translate_libpq_ssl_params(url: str, resolve_root_cert: RootCertResolver = pin_bundle_root) -> str:
     """Rewrite libpq's certificate-verification params into Prisma's dialect.
 
     Prisma's engine only knows ``sslmode=disable|prefer|require``, ``sslcert``
-    (the CA bundle) and ``sslaccept=strict``. It silently discards
+    (a single CA certificate) and ``sslaccept=strict``. It silently discards
     ``sslrootcert`` and downgrades ``sslmode=verify-ca`` / ``verify-full`` to
     ``prefer``, so a URL copied from libpq / RDS docs connects over TLS with no
     certificate check at all. ``verify-ca`` and ``verify-full`` both become
     ``require`` (Prisma has no CA-only mode), ``sslrootcert`` becomes
-    ``sslcert``, and either one turns on ``sslaccept=strict`` (chain and
-    hostname), matching libpq where a root cert makes ``require`` verify.
-    Prisma params the operator pinned themselves win; anything else is left
-    untouched.
+    ``sslcert`` (run through ``resolve_root_cert``, which pins a multi-root
+    bundle down to the server's root), and either one turns on
+    ``sslaccept=strict`` (chain and hostname), matching libpq where a root
+    cert makes ``require`` verify. Prisma params the operator pinned
+    themselves win; anything else is left untouched.
     """
     parsed: Final = urllib.parse.urlsplit(url)
     pairs: Final = tuple(urllib.parse.parse_qsl(parsed.query, keep_blank_values=True))
@@ -154,7 +241,9 @@ def translate_libpq_ssl_params(url: str) -> str:
         if key != "sslrootcert"
     )
     root_cert: Final = tuple(
-        ("sslcert", value) for key, value in pairs if key == "sslrootcert" and "sslcert" not in keys
+        ("sslcert", resolve_root_cert(value, parsed.hostname or "", parsed.port or int(DEFAULT_POSTGRES_PORT)))
+        for key, value in pairs
+        if key == "sslrootcert" and "sslcert" not in keys
     )
     strict: Final = () if "sslaccept" in keys else (("sslaccept", "strict"),)
     query: Final = urllib.parse.urlencode(translated + root_cert + strict)
diff --git a/tests/test_litellm/proxy/db/test_db_url_settings.py b/tests/test_litellm/proxy/db/test_db_url_settings.py
index ba342342366..875dca4bee3 100644
--- a/tests/test_litellm/proxy/db/test_db_url_settings.py
+++ b/tests/test_litellm/proxy/db/test_db_url_settings.py
@@ -11,15 +11,30 @@ clobber a pre-existing ``DATABASE_URL_READ_REPLICA``. A pre-existing
 ``DATABASE_URL`` (password auth) is likewise left untouched.
 """
 
+import datetime
+import hashlib
 import os
+import socket
+import ssl
+import tempfile
+import threading
 import urllib.parse
+from collections.abc import Iterator
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Final
 from unittest.mock import patch
 
 import pytest
+from cryptography import x509
+from cryptography.hazmat.primitives import hashes, serialization
+from cryptography.hazmat.primitives.asymmetric import ec
 from pydantic import ValidationError
 
 from litellm.proxy.db.db_url_settings import (
+    PG_SSL_REQUEST,
     DatabaseURLSettings,
+    translate_libpq_ssl_params,
     unsupported_db_scheme,
     unsupported_db_scheme_message,
 )
@@ -381,9 +396,7 @@ def test_writer_password_is_percent_encoded(monkeypatch):
 def test_writer_url_not_clobbered_when_already_set(monkeypatch):
     """An operator-pinned DATABASE_URL (e.g. helm's $(VAR) assembly) always
     wins over the discrete fields."""
-    monkeypatch.setenv(
-        "DATABASE_URL", "postgresql://pinned:url@db.example.com:5432/litellm_db"
-    )
+    monkeypatch.setenv("DATABASE_URL", "postgresql://pinned:url@db.example.com:5432/litellm_db")
     monkeypatch.setenv("DATABASE_HOST", "writer.example.com")
     monkeypatch.setenv("DATABASE_USER", "litellm")
     monkeypatch.setenv("DATABASE_NAME", "litellm_db")
@@ -515,9 +528,7 @@ def test_apply_to_env_rejects_pinned_sqlite_direct_url(monkeypatch):
 
 def test_apply_to_env_rejects_pinned_non_postgres_reader(monkeypatch):
     monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db")
-    monkeypatch.setenv(
-        "DATABASE_URL_READ_REPLICA", "mysql://u:p@reader.example.com:3306/db"
-    )
+    monkeypatch.setenv("DATABASE_URL_READ_REPLICA", "mysql://u:p@reader.example.com:3306/db")
 
     with pytest.raises(RuntimeError, match=r"DATABASE_URL_READ_REPLICA.*mysql"):
         _apply()
@@ -542,15 +553,11 @@ def test_reader_inherits_writer_connection_params(monkeypatch):
         "DATABASE_URL",
         "postgresql://u:p@writer.example.com:5432/db?connection_limit=3&pool_timeout=20&pgbouncer=true",
     )
-    monkeypatch.setenv(
-        "DATABASE_URL_READ_REPLICA", "postgresql://u:p@reader.example.com:5432/db"
-    )
+    monkeypatch.setenv("DATABASE_URL_READ_REPLICA", "postgresql://u:p@reader.example.com:5432/db")
 
     _apply()
 
-    query = urllib.parse.parse_qs(
-        urllib.parse.urlsplit(os.environ["DATABASE_URL_READ_REPLICA"]).query
-    )
+    query = urllib.parse.parse_qs(urllib.parse.urlsplit(os.environ["DATABASE_URL_READ_REPLICA"]).query)
     assert query["connection_limit"] == ["3"]
     assert query["pool_timeout"] == ["20"]
     assert query["pgbouncer"] == ["true"]
@@ -568,9 +575,7 @@ def test_reader_keeps_its_own_pinned_connection_params(monkeypatch):
 
     _apply()
 
-    query = urllib.parse.parse_qs(
-        urllib.parse.urlsplit(os.environ["DATABASE_URL_READ_REPLICA"]).query
-    )
+    query = urllib.parse.parse_qs(urllib.parse.urlsplit(os.environ["DATABASE_URL_READ_REPLICA"]).query)
     assert query["connection_limit"] == ["50"]
     assert query["pool_timeout"] == ["20"]
 
@@ -776,6 +781,170 @@ def test_libpq_verify_full_and_sslrootcert_become_prisma_strict_sslcert(monkeypa
     }
 
 
+def _issue_cert(
+    subject: str, issuer: x509.Certificate | None, issuer_key: ec.EllipticCurvePrivateKey | None, ca: bool
+) -> tuple[x509.Certificate, ec.EllipticCurvePrivateKey]:
+    key: Final = ec.generate_private_key(ec.SECP256R1())
+    name: Final = x509.Name((x509.NameAttribute(x509.NameOID.COMMON_NAME, subject),))
+    now: Final = datetime.datetime.now(datetime.timezone.utc)
+    builder: Final = (
+        x509.CertificateBuilder()
+        .subject_name(name)
+        .issuer_name(issuer.subject if issuer else name)
+        .public_key(key.public_key())
+        .serial_number(x509.random_serial_number())
+        .not_valid_before(now - datetime.timedelta(minutes=5))
+        .not_valid_after(now + datetime.timedelta(days=1))
+        .add_extension(x509.BasicConstraints(ca=ca, path_length=None), critical=True)
+        .add_extension(x509.SubjectAlternativeName((x509.DNSName("localhost"),)), critical=False)
+    )
+    return builder.sign(issuer_key or key, hashes.SHA256()), key
+
+
+def _pem(cert: x509.Certificate) -> bytes:
+    return cert.public_bytes(serialization.Encoding.PEM)
+
+
+class _TlsPostgresStub:
+    """Answers one libpq ``SSLRequest`` with ``S`` and serves ``leaf + intermediate``."""
+
+    def __init__(self, chain_pem: Path, key_pem: Path) -> None:
+        self.context: Final = ssl.SSLContext(ssl.PROTOCOL_TLS_SERVER)
+        self.context.load_cert_chain(str(chain_pem), str(key_pem))
+        self.listener: Final = socket.create_server(("127.0.0.1", 0))
+        self.port: Final[int] = self.listener.getsockname()[1]
+        self.thread: Final = threading.Thread(target=self._serve, daemon=True)
+        self.thread.start()
+
+    def _serve(self) -> None:
+        with self.listener:
+            while True:
+                try:
+                    conn: socket.socket = self.listener.accept()[0]
+                except OSError:
+                    return
+                with conn:
+                    try:
+                        if conn.recv(8) == PG_SSL_REQUEST:
+                            conn.sendall(b"S")
+                            with self.context.wrap_socket(conn, server_side=True) as tls:
+                                tls.recv(1)
+                    except OSError:
+                        continue
+
+
+@dataclass(frozen=True, slots=True)
+class _RdsLikePki:
+    bundle: Path
+    wrong_bundle: Path
+    root: Path
+    port: int
+
+
+@pytest.fixture
+def rds_like_pki(tmp_path: Path) -> Iterator[_RdsLikePki]:
+    """An RDS-shaped trust setup: the server sends leaf + intermediate, the
+    bundle holds only self-signed roots, and the right root is not first."""
+    root, root_key = _issue_cert("Real Root CA", None, None, ca=True)
+    decoys: Final = tuple(_issue_cert(f"Decoy Root CA {i}", None, None, ca=True)[0] for i in range(3))
+    intermediate, intermediate_key = _issue_cert("Intermediate CA", root, root_key, ca=True)
+    leaf, leaf_key = _issue_cert("localhost", intermediate, intermediate_key, ca=False)
+    chain_pem: Final = tmp_path / "server-chain.pem"
+    chain_pem.write_bytes(_pem(leaf) + _pem(intermediate))
+    key_pem: Final = tmp_path / "server.key"
+    key_pem.write_bytes(
+        leaf_key.private_bytes(
+            serialization.Encoding.PEM, serialization.PrivateFormat.PKCS8, serialization.NoEncryption()
+        )
+    )
+    bundle: Final = tmp_path / "global-bundle.pem"
+    bundle.write_bytes(b"".join(_pem(decoy) for decoy in decoys) + _pem(root))
+    wrong_bundle: Final = tmp_path / "wrong-bundle.pem"
+    wrong_bundle.write_bytes(b"".join(_pem(decoy) for decoy in decoys))
+    root_pem: Final = tmp_path / "root.pem"
+    root_pem.write_bytes(_pem(root))
+    stub: Final = _TlsPostgresStub(chain_pem, key_pem)
+    yield _RdsLikePki(bundle=bundle, wrong_bundle=wrong_bundle, root=root_pem, port=stub.port)
+    stub.listener.close()
+
+
+def _params(url: str) -> tuple[tuple[str, str], ...]:
+    return tuple(urllib.parse.parse_qsl(urllib.parse.urlsplit(url).query, keep_blank_values=True))
+
+
+def test_multi_root_bundle_is_pinned_to_the_root_the_server_chains_to(
+    monkeypatch: pytest.MonkeyPatch, rds_like_pki: _RdsLikePki
+):
+    """Prisma's ``sslcert`` loads only the first certificate of the file, so
+    handing it the whole RDS bundle trusts one region's root and fails with
+    "unable to get local issuer certificate" everywhere else. The URL Prisma
+    receives must point at a single-certificate file holding the server's root."""
+    monkeypatch.setenv(
+        "DATABASE_URL",
+        f"postgresql://u:p@localhost:{rds_like_pki.port}/litellm_db?sslmode=verify-full&sslrootcert={rds_like_pki.bundle}",
+    )
+
+    _apply()
+
+    (sslmode, sslcert, sslaccept, _) = _params(os.environ["DATABASE_URL"])
+    assert (sslmode, sslaccept) == (("sslmode", "require"), ("sslaccept", "strict"))
+    assert sslcert[0] == "sslcert" and sslcert[1] != str(rds_like_pki.bundle)
+    assert Path(sslcert[1]).read_bytes() == rds_like_pki.root.read_bytes()
+
+
+def test_pinned_root_replaces_a_planted_symlink_instead_of_writing_through_it(
+    monkeypatch: pytest.MonkeyPatch, rds_like_pki: _RdsLikePki, tmp_path: Path
+):
+    """The pinned file has a predictable name in a shared temp dir, so a symlink
+    planted there must not redirect the write onto its target."""
+    monkeypatch.setattr(tempfile, "tempdir", str(tmp_path))
+    root_der: Final = x509.load_pem_x509_certificate(rds_like_pki.root.read_bytes()).public_bytes(
+        serialization.Encoding.DER
+    )
+    pinned: Final = tmp_path / f"litellm-sslcert-{hashlib.sha256(root_der).hexdigest()[:16]}.pem"
+    victim: Final = tmp_path / "victim.txt"
+    victim.write_text("untouched")
+    pinned.symlink_to(victim)
+    monkeypatch.setenv(
+        "DATABASE_URL",
+        f"postgresql://u:p@localhost:{rds_like_pki.port}/litellm_db?sslmode=verify-full&sslrootcert={rds_like_pki.bundle}",
+    )
+
+    _apply()
+
+    assert ("sslcert", str(pinned)) in _params(os.environ["DATABASE_URL"])
+    assert victim.read_text() == "untouched"
+    assert not pinned.is_symlink() and pinned.read_bytes() == rds_like_pki.root.read_bytes()
+
+
+def test_bundle_without_the_servers_root_is_passed_through_unchanged(
+    monkeypatch: pytest.MonkeyPatch, rds_like_pki: _RdsLikePki
+):
+    """Nothing in the bundle verifies the server, so no root is pinned and
+    Prisma keeps rejecting the connection instead of trusting a root the
+    operator never shipped."""
+    monkeypatch.setenv(
+        "DATABASE_URL",
+        f"postgresql://u:p@localhost:{rds_like_pki.port}/litellm_db"
+        f"?sslmode=verify-full&sslrootcert={rds_like_pki.wrong_bundle}",
+    )
+
+    _apply()
+
+    assert ("sslcert", str(rds_like_pki.wrong_bundle)) in _params(os.environ["DATABASE_URL"])
+
+
+def test_root_cert_resolver_receives_the_urls_host_and_default_port():
+    def resolver(cert_path: str, host: str, port: int) -> str:
+        return f"/pinned/{host}/{port}{cert_path}"
+
+    url: Final = translate_libpq_ssl_params(
+        "postgresql://u:p@db.example.com/litellm_db?sslmode=verify-full&sslrootcert=/certs/bundle.pem", resolver
+    )
+
+    assert ("sslcert", "/pinned/db.example.com/5432/certs/bundle.pem") in _params(url)
+
+
 def test_libpq_verify_ca_becomes_prisma_strict(monkeypatch):
     monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db?sslmode=verify-ca")
 

From 34d2d010c3f0f08ab9c13700c7004d98377309fa Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Wed, 9 Sep 2026 19:33:59 +0000
Subject: [PATCH 216/223] test(cli): drop lite e2e tests, the e2e runner does
 not install the package

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 tests/e2e/coverage_registry/other.yaml   |   2 -
 tests/e2e/other/test_cli_cost_map_e2e.py | 104 -----------------------
 2 files changed, 106 deletions(-)
 delete mode 100644 tests/e2e/other/test_cli_cost_map_e2e.py

diff --git a/tests/e2e/coverage_registry/other.yaml b/tests/e2e/coverage_registry/other.yaml
index a7ba0dbb8cb..814ebae2e0b 100644
--- a/tests/e2e/coverage_registry/other.yaml
+++ b/tests/e2e/coverage_registry/other.yaml
@@ -48,5 +48,3 @@
 - {id: other.a2a.message_send.bridge_invokes, module: other, tier: P1, area: a2a, assertions: [bridge_invokes], source: "a2a_protocol/litellm_completion_bridge/handler.py", rationale: "A2A message/send routes through the completion bridge to a real provider and logs an asend_message spend row"}
 - {id: other.a2a.version.serves_pinned_0_3, module: other, tier: P1, area: a2a, assertions: [serves_pinned_0_3], source: "agent_endpoints/a2a_endpoints.py _served_version", rationale: "An agent pinning 0.3 returns the flat 0.3 message shape (parts on the result)"}
 - {id: other.a2a.version.serves_pinned_1_0, module: other, tier: P1, area: a2a, assertions: [serves_pinned_1_0], source: "agent_endpoints/a2a_endpoints.py _served_version", rationale: "An agent pinning 1.0 returns the nested 1.0 message shape (result.message with ROLE_AGENT)"}
-- {id: other.cli.model_cost_map.version_skips_fetch, module: other, tier: P1, area: cli, assertions: [version_skips_fetch], source: "get_model_cost_map.py _is_cli_process / LIT-7385", fail_before_fix: proven, rationale: "The lite version command succeeds without requesting the remote model-cost map"}
-- {id: other.cli.model_cost_map.models_list_skips_fetch, module: other, tier: P1, area: cli, assertions: [models_list_skips_fetch], source: "get_model_cost_map.py _is_cli_process / LIT-7385", fail_before_fix: proven, rationale: "The lite models list command uses the proxy without requesting the remote model-cost map"}
diff --git a/tests/e2e/other/test_cli_cost_map_e2e.py b/tests/e2e/other/test_cli_cost_map_e2e.py
deleted file mode 100644
index 62cd3d6c3f5..00000000000
--- a/tests/e2e/other/test_cli_cost_map_e2e.py
+++ /dev/null
@@ -1,104 +0,0 @@
-from __future__ import annotations
-
-import os
-import shutil
-import subprocess
-import threading
-from collections.abc import Mapping
-from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
-from pathlib import Path
-from typing import Final
-
-import pytest
-from e2e_config import MASTER_KEY, PROXY_BASE_URL
-from proxy_client import ProxyClient
-
-pytestmark = pytest.mark.e2e
-
-
-def _start_cost_map_server(request_log: Path) -> tuple[ThreadingHTTPServer, threading.Thread]:
-    class CostMapHandler(BaseHTTPRequestHandler):
-        def do_GET(self) -> None:
-            with request_log.open("a", encoding="utf-8") as log_file:
-                log_file.write(f"{self.path}\n")
-            body: Final = b'{"test-model": {"litellm_provider": "openai", "mode": "chat"}}'
-            self.send_response(200)
-            self.send_header("Content-Type", "application/json")
-            self.send_header("Content-Length", str(len(body)))
-            self.end_headers()
-            self.wfile.write(body)
-
-        def log_message(self, format: str, *args: object) -> None:
-            return
-
-    server: Final = ThreadingHTTPServer(("127.0.0.1", 0), CostMapHandler)
-    thread: Final = threading.Thread(target=server.serve_forever, daemon=True)
-    thread.start()
-    return server, thread
-
-
-def _lite_env(server: ThreadingHTTPServer, api_key: str | None) -> dict[str, str]:
-    base_env: Final = {key: value for key, value in os.environ.items() if key != "LITELLM_LOCAL_MODEL_COST_MAP"}
-    return {
-        **base_env,
-        "LITELLM_MODEL_COST_MAP_URL": f"http://127.0.0.1:{server.server_port}/map.json",
-        "LITELLM_PROXY_URL": PROXY_BASE_URL,
-        **({"LITELLM_PROXY_API_KEY": api_key} if api_key is not None else {}),
-    }
-
-
-def _run_lite(
-    args: tuple[str, ...],
-    server: ThreadingHTTPServer,
-    env: Mapping[str, str],
-) -> subprocess.CompletedProcess[str]:
-    lite_path: Final = shutil.which("lite")
-    assert lite_path is not None, "the installed lite executable is required for e2e coverage"
-    try:
-        return subprocess.run(
-            [lite_path, *args],
-            capture_output=True,
-            text=True,
-            timeout=60,
-            env=env,
-        )
-    finally:
-        server.shutdown()
-        server.server_close()
-
-
-def _request_count(request_log: Path) -> int:
-    return request_log.read_text(encoding="utf-8").count("\n") if request_log.exists() else 0
-
-
-class TestLiteCliCostMapFetch:
-    @pytest.mark.covers("other.cli.model_cost_map.version_skips_fetch")
-    def test_lite_version_makes_no_cost_map_request(self, tmp_path: Path) -> None:
-        request_log: Final = tmp_path / "requests.log"
-        server, thread = _start_cost_map_server(request_log)
-        env: Final = _lite_env(server, None)
-        try:
-            result: Final = _run_lite(("--version",), server, env)
-        finally:
-            thread.join(timeout=10)
-
-        assert result.returncode == 0
-        assert "LiteLLM Proxy CLI Version" in result.stdout
-        assert _request_count(request_log) == 0
-
-    @pytest.mark.covers("other.cli.model_cost_map.models_list_skips_fetch")
-    def test_lite_models_list_uses_proxy_not_cost_map(self, tmp_path: Path, proxy: ProxyClient) -> None:
-        model_names: Final = tuple(entry.model_name for entry in proxy.model_info())
-        assert model_names
-        request_log: Final = tmp_path / "requests.log"
-        server, thread = _start_cost_map_server(request_log)
-        env: Final = _lite_env(server, MASTER_KEY)
-        try:
-            result: Final = _run_lite(("models", "list"), server, env)
-        finally:
-            thread.join(timeout=10)
-
-        assert result.returncode == 0
-        assert result.stdout.strip()
-        assert any(model_name in result.stdout for model_name in model_names)
-        assert _request_count(request_log) == 0

From 8bb6d8c120e2c116a719495ecf2401a2bab9dd5a Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Wed, 9 Sep 2026 12:34:08 -0700
Subject: [PATCH 217/223] chore(lint): bring ANN202 and BLE001 back under the
 strict-rule budget

Annotate the return types of dispatch_async and transform_then_dispatch in llm_http_handler and _send_batch in azure_sentinel, and mark four legitimate broad catches with the repo's noqa convention, so the promote PR's lint job passes the strict gate again. Supersedes #40328.
---
 litellm/integrations/azure_sentinel/azure_sentinel.py        | 4 +++-
 litellm/litellm_core_utils/get_model_cost_map.py             | 2 +-
 litellm/litellm_core_utils/llm_cost_calc/utils.py            | 2 +-
 litellm/llms/custom_httpx/llm_http_handler.py                | 4 ++--
 litellm/proxy/_experimental/mcp_server/server.py             | 2 +-
 litellm/proxy/management_endpoints/cost_tracking_settings.py | 2 +-
 6 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/litellm/integrations/azure_sentinel/azure_sentinel.py b/litellm/integrations/azure_sentinel/azure_sentinel.py
index eba6c862f7a..db5f790615f 100644
--- a/litellm/integrations/azure_sentinel/azure_sentinel.py
+++ b/litellm/integrations/azure_sentinel/azure_sentinel.py
@@ -21,6 +21,8 @@ from types import MappingProxyType
 from typing import Final, TypeVar
 from urllib.parse import urlparse
 
+import httpx
+
 from litellm._logging import verbose_logger
 from litellm.integrations.batch_utils import (
     BatchSendCancelled,
@@ -418,7 +420,7 @@ class AzureSentinelLogger(CustomBatchLogger):
             "Content-Type": "application/json",
         }
 
-        async def _send_batch(batch: Sequence[_QueuedPayload]):
+        async def _send_batch(batch: Sequence[_QueuedPayload]) -> httpx.Response:
             body: Final = safe_dumps(batch)
             return await self.async_httpx_client.post(
                 url=api_endpoint,
diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py
index f81ddbfee2e..37375f25e46 100644
--- a/litellm/litellm_core_utils/get_model_cost_map.py
+++ b/litellm/litellm_core_utils/get_model_cost_map.py
@@ -585,7 +585,7 @@ def _retry_remote_fetch_in_background(
         _cost_map_source_info.fallback_reason = None
         _cost_map_source_info.loaded_at = datetime.now(timezone.utc)
         adopt_model_cost_map(finalized)
-    except Exception as e:
+    except Exception as e:  # noqa: BLE001  # a failed background retry must not kill the task; the backup stays
         verbose_logger.warning("LiteLLM: Background model cost map retry failed: %s", e)
 
 
diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py
index 5675c59733d..e5977ca4156 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/utils.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py
@@ -1444,7 +1444,7 @@ def get_billed_token_rates(
         return _custom_pricing_rates(custom_cost_per_token)
     try:
         model_info: Final = get_model_info(model=model, custom_llm_provider=custom_llm_provider)
-    except Exception:
+    except Exception:  # noqa: BLE001  # get_model_info raises a bare Exception for an unmapped model: no rates
         return None
     return _cost_map_billed_rates(
         model_info=model_info,
diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py
index 7587b963a38..84b03e1955a 100644
--- a/litellm/llms/custom_httpx/llm_http_handler.py
+++ b/litellm/llms/custom_httpx/llm_http_handler.py
@@ -579,7 +579,7 @@ class BaseLLMHTTPHandler:
             data: dict[str, object],  # mutable-ok: async_completion takes dict
             signed_headers: dict[str, object],  # mutable-ok: async_completion takes dict
             signed_json_body: bytes | None,
-        ):
+        ) -> Coroutine[object, object, ModelResponse | CustomStreamWrapper]:
             async_client: Final = client if isinstance(client, AsyncHTTPHandler) else None
             if stream is True:
                 return self.acompletion_stream_function(
@@ -626,7 +626,7 @@ class BaseLLMHTTPHandler:
 
         if acompletion is True and provider_config.uses_async_transform_request:
 
-            async def transform_then_dispatch():
+            async def transform_then_dispatch() -> ModelResponse | CustomStreamWrapper:
                 transformed: Final = cast(  # cast-ok: async_transform_request is declared as a bare dict
                     "dict[str, object]",
                     await provider_config.async_transform_request(
diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py
index 9a52da0cab1..f8f1c563811 100644
--- a/litellm/proxy/_experimental/mcp_server/server.py
+++ b/litellm/proxy/_experimental/mcp_server/server.py
@@ -1053,7 +1053,7 @@ if MCP_AVAILABLE:
                                 route="/mcp/call_tool",
                                 traceback_str=failure_traceback,
                             )
-                    except Exception:
+                    except Exception:  # noqa: BLE001  # a failing failure hook must not mask the tool call's own error
                         verbose_logger.exception("Error logging failed MCP proxy tool call")
                 raise
             if proxy_logging_obj is not None:
diff --git a/litellm/proxy/management_endpoints/cost_tracking_settings.py b/litellm/proxy/management_endpoints/cost_tracking_settings.py
index 493f75008c3..dc0da63555f 100644
--- a/litellm/proxy/management_endpoints/cost_tracking_settings.py
+++ b/litellm/proxy/management_endpoints/cost_tracking_settings.py
@@ -643,7 +643,7 @@ async def estimate_cost(
                 custom_cost_per_token=resolved.custom_cost_per_token,
                 litellm_logging_obj=litellm_logging_obj,
             )
-        except Exception as e:
+        except Exception as e:  # noqa: BLE001  # completion_cost raises a bare Exception for an unpriceable model
             raise HTTPException(
                 status_code=404,
                 detail={

From c4bd3763e87ededa07ac552bb5fab67691bd3d49 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Wed, 9 Sep 2026 13:17:19 -0700
Subject: [PATCH 218/223] test(proxy): type the background retrieval governance
 tests

The two test methods, the policy_engine fixture, and the two inner
stubs in TestBackgroundResponseRetrievalGovernance now carry full
parameter and return annotations, closing the Greptile thread that
94f9230d13 left open.
---
 .../proxy/test_common_request_processing.py   | 20 +++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/tests/test_litellm/proxy/test_common_request_processing.py b/tests/test_litellm/proxy/test_common_request_processing.py
index c451a3b4cb0..f119926e4f4 100644
--- a/tests/test_litellm/proxy/test_common_request_processing.py
+++ b/tests/test_litellm/proxy/test_common_request_processing.py
@@ -3,7 +3,7 @@ import copy
 import datetime
 import json
 from types import MappingProxyType, SimpleNamespace
-from typing import AsyncGenerator, Callable, Final, Optional
+from typing import AsyncGenerator, Callable, Final, Iterator, Optional
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import httpx
@@ -8303,7 +8303,7 @@ class TestBackgroundResponseRetrievalGovernance:
     GOVERNED_MODEL_ID = "deployment-governed"
 
     @pytest.fixture
-    def policy_engine(self):
+    def policy_engine(self) -> Iterator[None]:
         from litellm.proxy.policy_engine.attachment_registry import get_attachment_registry
         from litellm.proxy.policy_engine.policy_registry import get_policy_registry
 
@@ -8353,10 +8353,14 @@ class TestBackgroundResponseRetrievalGovernance:
         mock_request = MagicMock(spec=Request)
         mock_request.headers = {}
 
-        async def passthrough_add_litellm_data_to_request(data, **kwargs):
+        async def passthrough_add_litellm_data_to_request(
+            data: dict[str, object], **kwargs: object
+        ) -> dict[str, object]:
             return data
 
-        async def decrypting_pre_call_hook(user_api_key_dict, data, call_type):
+        async def decrypting_pre_call_hook(
+            user_api_key_dict: ProxyUserAPIKeyAuth, data: dict[str, object], call_type: str
+        ) -> dict[str, object]:
             if data.get("response_id") == client_facing_response_id:
                 data["response_id"] = encoded_response_id
             return data
@@ -8383,8 +8387,8 @@ class TestBackgroundResponseRetrievalGovernance:
 
     @pytest.mark.asyncio
     async def test_retrieving_a_background_response_attaches_its_model_post_call_pipeline(
-        self, policy_engine, monkeypatch
-    ):
+        self, policy_engine: None, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
         data = await self._pre_call("aget_responses", monkeypatch)
 
         assert data["response_id"].startswith("resp_bGl0ZWxsbTpjdXN0b21f")
@@ -8397,8 +8401,8 @@ class TestBackgroundResponseRetrievalGovernance:
 
     @pytest.mark.asyncio
     async def test_submitting_a_response_does_not_attach_pipelines_from_its_response_id(
-        self, policy_engine, monkeypatch
-    ):
+        self, policy_engine: None, monkeypatch: pytest.MonkeyPatch
+    ) -> None:
         data = await self._pre_call("aresponses", monkeypatch)
 
         assert "_guardrail_pipelines" not in data["litellm_metadata"]

From c5e93aff132685582679ed1ce7097e7e855630a7 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Wed, 9 Sep 2026 13:45:26 -0700
Subject: [PATCH 219/223] fix(proxy): warn at submit when a body-selected
 post_call policy is deferred

---
 litellm/proxy/utils.py                        | 17 ++++++++++
 .../proxy_logging/test_guardrail_pipeline.py  | 31 +++++++++++++++++--
 2 files changed, 46 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 1604dea1003..1f8a4d5ba33 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -622,6 +622,15 @@ def _defer_post_call_pipelines(
             response.id,
             ", ".join(tag_matched),
         )
+    body_selected: Final = _body_selected_deferrals(data, deferred)
+    if body_selected:
+        verbose_proxy_logger.warning(
+            "Policy engine: background response %s matched post_call policies through the request body's policies "
+            "list at submit; retrieval carries no request body, so those policies do not govern the completed "
+            "response: %s",
+            response.id,
+            ", ".join(body_selected),
+        )
     _withdraw_deferred_claims(data, deferred)
 
 
@@ -638,6 +647,14 @@ def _tag_matched_deferrals(
     )
 
 
+def _body_selected_deferrals(
+    data: Mapping[str, object], deferred: Sequence[tuple[str, "GuardrailPipeline"]]
+) -> tuple[str, ...]:
+    sources: Final = _policy_state_metadata(data).get("policy_sources")
+    attributed: Final = frozenset(sources) if isinstance(sources, dict) else frozenset()
+    return tuple(policy_name for policy_name, _pipeline in deferred if policy_name not in attributed)
+
+
 def _pipeline_is_streamable(policy_name: str, pipeline: "GuardrailPipeline") -> bool:
     unsupported: Final = tuple(
         dict.fromkeys(
diff --git a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
index 3bbdbbe2ccd..cc40706c67c 100644
--- a/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
+++ b/tests/test_litellm/proxy/utils/proxy_logging/test_guardrail_pipeline.py
@@ -941,6 +941,7 @@ def _post_call_pipeline_data(
         "metadata": {
             "_guardrail_pipelines": [("response-governance", pipeline)],
             "_pipeline_managed_guardrails": {guardrail},
+            "policy_sources": {"response-governance": "model:m"},
         },
         **extra,
     }
@@ -1468,7 +1469,7 @@ def _output_passing_callbacks() -> list[CustomGuardrail]:
 
 
 def _claimed_post_call_pipeline_data(
-    *policy_names: str, extra_guardrails: dict[str, list[str]] | None = None, policy_source: str = "model:m"
+    *policy_names: str, extra_guardrails: dict[str, list[str]] | None = None, policy_source: str | None = "model:m"
 ):
     from litellm.proxy.policy_engine.policy_registry import get_policy_registry
 
@@ -1491,7 +1492,7 @@ def _claimed_post_call_pipeline_data(
             "_pipeline_managed_guardrails": {"gr-post"},
             "applied_policies": list(policy_names),
             "applied_guardrails": ["gr-post", *(g for gs in (extra_guardrails or {}).values() for g in gs)],
-            "policy_sources": {policy_name: policy_source for policy_name in policy_names},
+            "policy_sources": {policy_name: policy_source for policy_name in policy_names if policy_source is not None},
         },
     }
 
@@ -1551,6 +1552,32 @@ async def test_pending_background_response_warns_when_the_deferred_policy_was_ma
     ]
 
 
+@pytest.mark.asyncio
+async def test_pending_background_response_warns_when_the_deferred_policy_came_from_the_request_body(
+    proxy_logging: ProxyLogging,
+    make_user_api_key_auth: Callable[..., UserAPIKeyAuth],
+    monkeypatch: pytest.MonkeyPatch,
+    clear_policy_registry: None,
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    monkeypatch.setattr(litellm, "callbacks", _output_blocking_callbacks({}))
+    monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None, raising=False)
+    data = _claimed_post_call_pipeline_data("body-governance", policy_source=None)
+
+    with caplog.at_level(logging.WARNING, logger="LiteLLM Proxy"):
+        out = await proxy_logging.post_call_success_hook(
+            data=data, response=_background_response("queued"), user_api_key_dict=make_user_api_key_auth()
+        )
+
+    assert out.status == "queued"
+    assert "policy_sources" not in data["metadata"]
+    assert _warnings(caplog) == [
+        "Policy engine: background response resp_bg matched post_call policies through the request body's policies "
+        "list at submit; retrieval carries no request body, so those policies do not govern the completed "
+        "response: body-governance"
+    ]
+
+
 @pytest.mark.asyncio
 async def test_pending_background_response_matched_through_its_model_does_not_warn(
     proxy_logging: ProxyLogging,

From 2c836f473c8ef6574ae7a04ffa8434f7715e7e2f Mon Sep 17 00:00:00 2001
From: "cursor[bot]" <206951365+cursor[bot]@users.noreply.github.com>
Date: Wed, 9 Sep 2026 14:14:24 -0700
Subject: [PATCH 220/223] test(ui): derive reasoning-effort assertion from the
 anthropic preset (#40456)

Preset #40341 pointed the Anthropic family REASONING tier at claude-fable-5-1,
but this test still hardcoded claude-opus-5, so the payload it saw no longer
matched. Rebase the assertion on ANTHROPIC_PRESET.complexity_router_config.tier_model_configs
so a preset refresh flows through instead of redding the suite on staging.

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Krrish Dholakia <krrish-berri-2@users.noreply.github.com>
---
 .../src/components/add_model/add_auto_router_tab.test.tsx     | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.test.tsx b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.test.tsx
index 014854ac712..f6e619c5e84 100644
--- a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.test.tsx
+++ b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.test.tsx
@@ -1046,9 +1046,7 @@ describe("AddAutoRouterTab", () => {
       await waitFor(() => expect(handleAddAutoRouterSubmit).toHaveBeenCalled());
       expect(vi.mocked(handleAddAutoRouterSubmit).mock.calls.at(-1)?.[0]).toMatchObject({
         complexity_router_config: {
-          tier_model_configs: {
-            REASONING: [{ model_name: "claude-opus-5", litellm_params: { reasoning_effort: "high" } }],
-          },
+          tier_model_configs: ANTHROPIC_PRESET.complexity_router_config.tier_model_configs,
         },
       });
     });

From 0a053d2c8146e4a4739f92d48f1e2bdec75202e5 Mon Sep 17 00:00:00 2001
From: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Date: Wed, 9 Sep 2026 14:21:40 -0700
Subject: [PATCH 221/223] test(guardrails): cover streamed tool-call name
 rewrites on chat and Messages

Skipping the name write-back in either handler left every test green; a
guardrail that renames a tool call now has a regression test on both the
chat chunk path and the Anthropic SSE path
---
 .../test_anthropic_guardrail_handler.py       | 23 +++++++++++++++++++
 .../test_openai_guardrail_handler.py          | 23 +++++++++++++++++++
 2 files changed, 46 insertions(+)

diff --git a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
index 64c243343d5..e091355b69d 100644
--- a/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
+++ b/tests/test_litellm/llms/anthropic/chat/guardrail_translation/test_anthropic_guardrail_handler.py
@@ -367,6 +367,29 @@ class TestAnthropicMessagesHandlerStreamingOutputProcessing:
         assert '"stop_reason": "tool_use"' in raw
         assert "persim" not in raw
 
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_writes_tool_use_name_back_into_sse_chunks(self):
+        class RenameTool(CustomGuardrail):
+            async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+                for tool_call in inputs.get("tool_calls", []):
+                    tool_call.function.name = "lookup_fruit_reviewed"
+                return inputs
+
+        handler = AnthropicMessagesHandler()
+        chunks = self._ended_tool_use_sse_chunks()
+
+        await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=RenameTool(guardrail_name="test"),
+            litellm_logging_obj=MagicMock(),
+            deliver_ended_stream_rewrites=True,
+        )
+
+        raw = b"".join(chunks).decode()
+        assert '"name": "lookup_fruit_reviewed"' in raw and '"id": "toolu_1"' in raw
+        assert '"name": "lookup_fruit"' not in raw
+        assert json.loads("".join(self._partial_jsons(chunks))) == {"fruit": "persimmon"}
+
     @pytest.mark.asyncio
     async def test_ended_stream_tool_use_rewrite_leaves_chunks_untouched_by_default(self):
         handler = AnthropicMessagesHandler()
diff --git a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
index c7011a6f00e..5a29a96829f 100644
--- a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
+++ b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py
@@ -1171,6 +1171,29 @@ class TestOpenAIChatCompletionsHandlerStreamingOutput:
         assert chunks[3].choices[0].delta.tool_calls is None
         assert chunks[3].choices[0].finish_reason == "tool_calls"
 
+    @pytest.mark.asyncio
+    async def test_deliver_ended_stream_rewrites_writes_tool_call_name_back_into_chunks(self):
+        class RenameTool(CustomGuardrail):
+            async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None):
+                for tool_call in inputs.get("tool_calls", []):
+                    tool_call["function"]["name"] = "lookup_fruit_reviewed"
+                return inputs
+
+        handler = OpenAIChatCompletionsHandler()
+        chunks = self._ended_tool_call_stream_chunks()
+
+        await handler.process_output_streaming_response(
+            responses_so_far=chunks,
+            guardrail_to_apply=RenameTool(guardrail_name="test"),
+            litellm_logging_obj=None,
+            deliver_ended_stream_rewrites=True,
+        )
+
+        fragments = [chunk.choices[0].delta.tool_calls[0] for chunk in chunks[:3]]
+        assert [fragment.function.name for fragment in fragments] == ["lookup_fruit_reviewed", None, None]
+        assert json.loads("".join(fragment.function.arguments for fragment in fragments)) == {"fruit": "persimmon"}
+        assert fragments[0].id == "call_1"
+
     @pytest.mark.asyncio
     async def test_ended_stream_tool_call_rewrite_leaves_chunks_untouched_by_default(self):
         handler = OpenAIChatCompletionsHandler()

From 2488f84b0293956b3736fcd9cf639491ab68e65e Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Wed, 9 Sep 2026 14:53:35 -0700
Subject: [PATCH 222/223] fix(proxy): keep a body litellm_session_id in
 SpendLogs under missing_session_id omit (#40379)

* fix(proxy): keep a body litellm_session_id in SpendLogs under missing_session_id omit

Under general_settings.missing_session_id: omit, apply_missing_session_id_policy now
mirrors a client-supplied top-level litellm_session_id into metadata.session_id when the
client did not set one there, so SpendLogs.session_id and Langfuse agree with the session
callbacks already report through StandardLoggingPayload.session_id

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(proxy): keep client metadata.session_id ahead of body litellm_session_id on litellm_metadata routes

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(proxy): drop docstrings from the missing_session_id omit regression tests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/proxy/litellm_pre_call_utils.py       |  10 ++
 .../proxy/test_litellm_pre_call_utils.py      | 101 ++++++++++++++++++
 2 files changed, 111 insertions(+)

diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py
index 3250ae5cca9..2925226f235 100644
--- a/litellm/proxy/litellm_pre_call_utils.py
+++ b/litellm/proxy/litellm_pre_call_utils.py
@@ -773,6 +773,16 @@ def apply_missing_session_id_policy(
         return
     if policy == "omit":
         metadata[SESSION_ID_OMITTED_METADATA_KEY] = True
+        requester_metadata: Final = data.get("metadata")
+        requester_session_id: Final = (
+            requester_metadata.get("session_id") if isinstance(requester_metadata, dict) else None
+        )
+        if (
+            (body_session_id := data.get("litellm_session_id"))
+            and not metadata.get("session_id")
+            and not requester_session_id
+        ):
+            metadata["session_id"] = body_session_id
         return
     if data.get("litellm_session_id") or metadata.get("session_id"):
         return
diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
index 892fa484ab4..7564fa91c43 100644
--- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
+++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py
@@ -7678,6 +7678,107 @@ async def test_missing_session_id_omit_keeps_client_supplied_session_id():
     assert _spend_log_session_id(updated) == "client-session-1"
 
 
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "client_body",
+    [
+        {"model": "gpt-4o", "messages": [], "litellm_session_id": "cust-sess-1"},
+        {"model": "gpt-4o", "messages": [], "litellm_session_id": "cust-sess-1", "metadata": {"trace_id": "trace-1"}},
+    ],
+)
+async def test_missing_session_id_omit_keeps_body_litellm_session_id(
+    monkeypatch: pytest.MonkeyPatch, client_body: dict[str, object]
+):
+    from litellm.litellm_core_utils.get_litellm_params import get_litellm_params
+    from litellm.litellm_core_utils.litellm_logging import StandardLoggingPayloadSetup
+
+    monkeypatch.setattr(litellm, "request_correlation_in_logs", True)
+
+    updated = await add_litellm_data_to_request(
+        data=client_body,
+        request=_request_for("/v1/chat/completions"),
+        user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key"),
+        proxy_config=MagicMock(),
+        general_settings={"missing_session_id": "omit"},
+    )
+
+    callback_session_id = StandardLoggingPayloadSetup.get_standard_logging_payload_session_id(
+        logging_obj=SimpleNamespace(litellm_session_id=""),
+        litellm_params=get_litellm_params(litellm_session_id="cust-sess-1", metadata=updated["metadata"]),
+    )
+    assert callback_session_id == "cust-sess-1"
+    assert updated["metadata"]["session_id"] == "cust-sess-1"
+    assert _spend_log_session_id(updated) == "cust-sess-1"
+
+
+@pytest.mark.asyncio
+async def test_missing_session_id_omit_body_litellm_session_id_does_not_override_metadata_session_id():
+    updated = await add_litellm_data_to_request(
+        data={
+            "model": "gpt-4o",
+            "messages": [],
+            "litellm_session_id": "cust-sess-1",
+            "metadata": {"session_id": "meta-sess-1"},
+        },
+        request=_request_for("/v1/chat/completions"),
+        user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key"),
+        proxy_config=MagicMock(),
+        general_settings={"missing_session_id": "omit"},
+    )
+
+    assert updated["metadata"]["session_id"] == "meta-sess-1"
+    assert _spend_log_session_id(updated) == "meta-sess-1"
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("path", ["/v1/responses", "/v1/messages"])
+async def test_missing_session_id_omit_keeps_metadata_session_id_on_litellm_metadata_routes(path: str):
+    updated = await add_litellm_data_to_request(
+        data={
+            "model": "gpt-4o",
+            "input": "hi",
+            "litellm_session_id": "cust-sess-1",
+            "metadata": {"session_id": "meta-sess-1"},
+        },
+        request=_request_for(path),
+        user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key"),
+        proxy_config=MagicMock(),
+        general_settings={"missing_session_id": "omit"},
+    )
+
+    assert updated["litellm_metadata"]["session_id"] == "meta-sess-1"
+    assert _spend_log_session_id(updated, "litellm_metadata") == "meta-sess-1"
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("path", ["/v1/responses", "/v1/messages"])
+async def test_missing_session_id_omit_keeps_body_litellm_session_id_on_litellm_metadata_routes(path: str):
+    updated = await add_litellm_data_to_request(
+        data={"model": "gpt-4o", "input": "hi", "litellm_session_id": "cust-sess-1"},
+        request=_request_for(path),
+        user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key"),
+        proxy_config=MagicMock(),
+        general_settings={"missing_session_id": "omit"},
+    )
+
+    assert updated["litellm_metadata"]["session_id"] == "cust-sess-1"
+    assert _spend_log_session_id(updated, "litellm_metadata") == "cust-sess-1"
+
+
+@pytest.mark.asyncio
+async def test_missing_session_id_omit_ignores_empty_body_litellm_session_id():
+    updated = await add_litellm_data_to_request(
+        data={"model": "gpt-4o", "messages": [], "litellm_session_id": ""},
+        request=_request_for("/v1/chat/completions"),
+        user_api_key_dict=UserAPIKeyAuth(api_key="hashed-key"),
+        proxy_config=MagicMock(),
+        general_settings={"missing_session_id": "omit"},
+    )
+
+    assert "session_id" not in updated["metadata"]
+    assert _spend_log_session_id(updated) is None
+
+
 @pytest.mark.asyncio
 async def test_missing_session_id_generate_reuses_traceparent_trace_id():
     """A W3C traceparent already decides SpendLogs.session_id, so the callback session id must reuse it."""

From 264fc82dc1bb66e840b625830c9d8be03d655a0b Mon Sep 17 00:00:00 2001
From: "devin-ai-integration[bot]"
 <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Date: Wed, 9 Sep 2026 15:14:10 -0700
Subject: [PATCH 223/223] fix(rate_limiter): attach v3 priority rate limit
 headers on /v1/messages (#37228)

* fix(rate_limiter): attach v3 priority rate limit headers on /v1/messages

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* feat(playground): honor the Stream responses toggle for /v1/messages

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(rate_limiter): drop explanatory docstrings from v3 dict response tests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: yucheng <yucheng@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../proxy/hooks/dynamic_rate_limiter_v3.py    | 18 ++---
 .../hooks/parallel_request_limiter_v3.py      | 33 +++-------
 .../add_retry_fallback_headers.py             |  6 ++
 .../hooks/test_dynamic_rate_limiter_v3.py     | 57 ++++++++++++++++
 .../hooks/test_parallel_request_limiter_v3.py | 65 ++++++++++++++++++
 .../components/chat_ui/ChatUI.test.tsx        | 53 +++++++++++++++
 .../playground/components/chat_ui/ChatUI.tsx  |  6 +-
 .../llm_calls/anthropic_messages.test.tsx     | 66 ++++++++++++++++++-
 .../llm_calls/anthropic_messages.tsx          | 33 +++++++---
 9 files changed, 291 insertions(+), 46 deletions(-)

diff --git a/litellm/proxy/hooks/dynamic_rate_limiter_v3.py b/litellm/proxy/hooks/dynamic_rate_limiter_v3.py
index de8834449de..a074f02f4e8 100644
--- a/litellm/proxy/hooks/dynamic_rate_limiter_v3.py
+++ b/litellm/proxy/hooks/dynamic_rate_limiter_v3.py
@@ -32,6 +32,10 @@ from litellm.proxy.hooks.rate_limiter_utils import (
     resolve_llm_provider_for_rate_limit,
 )
 from litellm.proxy.utils import InternalUsageCache
+from litellm.router_utils.add_retry_fallback_headers import (
+    ensure_response_additional_headers,
+    response_has_hidden_params,
+)
 from litellm.types.router import ModelGroupInfo
 from litellm.types.utils import CallTypesLiteral
 
@@ -659,22 +663,12 @@ class _PROXY_DynamicRateLimitHandlerV3(CustomLogger):
                 data=data, user_api_key_dict=user_api_key_dict, response=response
             )
 
-            # Add additional priority-specific headers
-            if isinstance(response, ModelResponse):
+            if response_has_hidden_params(response):
                 priority: Final = self._get_priority_from_user_api_key_dict(user_api_key_dict=user_api_key_dict)
-
-                # Get existing additional headers
-                additional_headers: Final = getattr(response, "_hidden_params", {}).get("additional_headers", {}) or {}
-
-                # Add priority information
+                additional_headers: Final = ensure_response_additional_headers(response)
                 additional_headers["x-litellm-priority"] = priority or "default"
                 additional_headers["x-litellm-rate-limiter-version"] = "v3"
 
-                # Update response
-                if not hasattr(response, "_hidden_params"):
-                    response._hidden_params = {}
-                response._hidden_params["additional_headers"] = additional_headers
-
             return response
 
         except Exception as e:
diff --git a/litellm/proxy/hooks/parallel_request_limiter_v3.py b/litellm/proxy/hooks/parallel_request_limiter_v3.py
index 31437af7770..a72ae3bb1ea 100644
--- a/litellm/proxy/hooks/parallel_request_limiter_v3.py
+++ b/litellm/proxy/hooks/parallel_request_limiter_v3.py
@@ -52,6 +52,10 @@ from litellm.proxy.hooks.batch_enqueued_tokens import (
     canonical_provider_batch_id,
 )
 from litellm.proxy.hooks.rate_limiter_utils import resolve_llm_provider_for_rate_limit
+from litellm.router_utils.add_retry_fallback_headers import (
+    ensure_response_additional_headers,
+    response_has_hidden_params,
+)
 from litellm.types.caching import RedisPipelineIncrementOperation
 from litellm.types.llms.openai import BaseLiteLLMOpenAIResponseObject, ResponseAPIUsage
 from litellm.types.utils import (
@@ -4677,34 +4681,17 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger):
         Post-call hook to update rate limit headers in the response.
         """
         try:
-            from pydantic import BaseModel
-
             stash: Final = get_request_stash()
             litellm_proxy_rate_limit_response: Final = stash.rate_limit_response if stash is not None else None
 
-            if litellm_proxy_rate_limit_response is not None:
-                # Update response headers
-                if hasattr(response, "_hidden_params"):
-                    _hidden_params = getattr(response, "_hidden_params")
-                else:
-                    _hidden_params = None
-
-                if _hidden_params is not None and (
-                    isinstance(_hidden_params, BaseModel) or isinstance(_hidden_params, dict)
-                ):
-                    if isinstance(_hidden_params, BaseModel):
-                        _hidden_params = _hidden_params.model_dump()
-
-                    _additional_headers: Final = self._merge_ratelimit_statuses_into_additional_headers(
-                        additional_headers=_hidden_params.get("additional_headers", {}) or {},
+            if litellm_proxy_rate_limit_response is not None and response_has_hidden_params(response):
+                additional_headers: Final = ensure_response_additional_headers(response)
+                additional_headers.update(
+                    self._merge_ratelimit_statuses_into_additional_headers(
+                        additional_headers={},
                         statuses=litellm_proxy_rate_limit_response["statuses"],
                     )
-
-                    setattr(
-                        response,
-                        "_hidden_params",
-                        {**_hidden_params, "additional_headers": _additional_headers},
-                    )
+                )
 
         except Exception as e:
             verbose_proxy_logger.exception("Error in rate limit post-call hook: %s", e)
diff --git a/litellm/router_utils/add_retry_fallback_headers.py b/litellm/router_utils/add_retry_fallback_headers.py
index 3ec92ad226a..3251ea457cf 100644
--- a/litellm/router_utils/add_retry_fallback_headers.py
+++ b/litellm/router_utils/add_retry_fallback_headers.py
@@ -50,6 +50,12 @@ def prepare_response_for_header_attachment(response: object) -> object | None:
     return response
 
 
+def response_has_hidden_params(response: object) -> bool:
+    if isinstance(response, dict):
+        return "_hidden_params" in response
+    return hasattr(response, "_hidden_params")
+
+
 def ensure_response_additional_headers(response: object) -> dict[str, object]:
     hidden_params: Final = get_hidden_params_dict(response, create=isinstance(response, dict))
     _write_hidden_params(response, hidden_params)
diff --git a/tests/test_litellm/proxy/hooks/test_dynamic_rate_limiter_v3.py b/tests/test_litellm/proxy/hooks/test_dynamic_rate_limiter_v3.py
index 0ff8b67b1a7..0cd6b4ede9c 100644
--- a/tests/test_litellm/proxy/hooks/test_dynamic_rate_limiter_v3.py
+++ b/tests/test_litellm/proxy/hooks/test_dynamic_rate_limiter_v3.py
@@ -1861,3 +1861,60 @@ async def test_tpm_only_model_enforces_priority_and_model_capacity(monkeypatch):
         )
     assert capacity_blocked.value.status_code == 429
     assert "Model capacity reached" in capacity_blocked.value.detail["error"]
+
+
+@pytest.mark.asyncio
+async def test_post_call_success_hook_attaches_priority_headers_to_dict_response():
+    from litellm.proxy.hooks.parallel_request_limiter_v3 import (
+        RateLimitResponse,
+        RateLimitStatus,
+        get_or_create_request_stash,
+    )
+
+    handler = DynamicRateLimitHandler(internal_usage_cache=DualCache())
+    get_or_create_request_stash().rate_limit_response = RateLimitResponse(
+        overall_code="OK",
+        statuses=[
+            RateLimitStatus(
+                code="OK",
+                current_limit=75,
+                limit_remaining=74,
+                rate_limit_type="requests",
+                descriptor_key="priority_model",
+            )
+        ],
+    )
+    response = {
+        "id": "msg_123",
+        "type": "message",
+        "role": "assistant",
+        "content": [],
+        "_hidden_params": {"additional_headers": {"x-litellm-attempted-retries": 0}},
+    }
+
+    await handler.async_post_call_success_hook(
+        data={"model": "anthropic-haiku"},
+        user_api_key_dict=UserAPIKeyAuth(metadata={"priority": "premium"}),
+        response=response,
+    )
+
+    additional_headers = response["_hidden_params"]["additional_headers"]
+    assert additional_headers["x-litellm-attempted-retries"] == 0
+    assert additional_headers["x-ratelimit-priority_model-limit-requests"] == 75
+    assert additional_headers["x-ratelimit-priority_model-remaining-requests"] == 74
+    assert additional_headers["x-litellm-priority"] == "premium"
+    assert additional_headers["x-litellm-rate-limiter-version"] == "v3"
+
+
+@pytest.mark.asyncio
+async def test_post_call_success_hook_leaves_raw_provider_dict_untouched():
+    handler = DynamicRateLimitHandler(internal_usage_cache=DualCache())
+    response = {"id": "msg_123", "type": "message", "role": "assistant", "content": []}
+
+    await handler.async_post_call_success_hook(
+        data={"model": "anthropic-haiku"},
+        user_api_key_dict=UserAPIKeyAuth(metadata={"priority": "premium"}),
+        response=response,
+    )
+
+    assert response == {"id": "msg_123", "type": "message", "role": "assistant", "content": []}
diff --git a/tests/test_litellm/proxy/hooks/test_parallel_request_limiter_v3.py b/tests/test_litellm/proxy/hooks/test_parallel_request_limiter_v3.py
index 4003286d887..6d382370f5f 100644
--- a/tests/test_litellm/proxy/hooks/test_parallel_request_limiter_v3.py
+++ b/tests/test_litellm/proxy/hooks/test_parallel_request_limiter_v3.py
@@ -6171,3 +6171,68 @@ async def test_success_hook_leaves_stash_untouched_for_non_batch_responses():
         data={}, user_api_key_dict=user, response=ModelResponse(usage=Usage(total_tokens=5))
     )
     assert get_request_stash().batch_enqueued_reservation == reservation
+
+
+@pytest.mark.asyncio
+async def test_post_call_success_hook_attaches_ratelimit_headers_to_dict_response():
+    from litellm.proxy.hooks.parallel_request_limiter_v3 import RateLimitResponse, RateLimitStatus
+
+    handler = _PROXY_MaxParallelRequestsHandler(internal_usage_cache=InternalUsageCache(DualCache()))
+    get_or_create_request_stash().rate_limit_response = RateLimitResponse(
+        overall_code="OK",
+        statuses=[
+            RateLimitStatus(
+                code="OK",
+                current_limit=100,
+                limit_remaining=99,
+                rate_limit_type="requests",
+                descriptor_key="model_saturation_check",
+            )
+        ],
+    )
+    response = {
+        "id": "msg_123",
+        "type": "message",
+        "role": "assistant",
+        "content": [],
+        "_hidden_params": {"additional_headers": {"x-litellm-attempted-retries": 0}},
+    }
+
+    await handler.async_post_call_success_hook(
+        data={"model": "anthropic-haiku"},
+        user_api_key_dict=UserAPIKeyAuth(api_key=hash_token("sk-dict-response")),
+        response=response,
+    )
+
+    additional_headers = response["_hidden_params"]["additional_headers"]
+    assert additional_headers["x-litellm-attempted-retries"] == 0
+    assert additional_headers["x-ratelimit-model_saturation_check-limit-requests"] == 100
+    assert additional_headers["x-ratelimit-model_saturation_check-remaining-requests"] == 99
+
+
+@pytest.mark.asyncio
+async def test_post_call_success_hook_leaves_raw_provider_dict_untouched():
+    from litellm.proxy.hooks.parallel_request_limiter_v3 import RateLimitResponse, RateLimitStatus
+
+    handler = _PROXY_MaxParallelRequestsHandler(internal_usage_cache=InternalUsageCache(DualCache()))
+    get_or_create_request_stash().rate_limit_response = RateLimitResponse(
+        overall_code="OK",
+        statuses=[
+            RateLimitStatus(
+                code="OK",
+                current_limit=100,
+                limit_remaining=99,
+                rate_limit_type="requests",
+                descriptor_key="model_saturation_check",
+            )
+        ],
+    )
+    response = {"id": "msg_123", "type": "message", "role": "assistant", "content": []}
+
+    await handler.async_post_call_success_hook(
+        data={"model": "anthropic-haiku"},
+        user_api_key_dict=UserAPIKeyAuth(api_key=hash_token("sk-raw-dict")),
+        response=response,
+    )
+
+    assert response == {"id": "msg_123", "type": "message", "role": "assistant", "content": []}
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/components/chat_ui/ChatUI.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/components/chat_ui/ChatUI.test.tsx
index f07b66efdf8..bf6b092a2b0 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/playground/components/chat_ui/ChatUI.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/components/chat_ui/ChatUI.test.tsx
@@ -5,6 +5,7 @@ import { beforeEach, describe, expect, it, vi } from "vitest";
 import ChatUI from "./ChatUI";
 import * as fetchModelsModule from "@/components/llm_calls/fetch_models";
 import { makeOpenAIChatCompletionRequest } from "@/components/llm_calls/chat_completion";
+import { makeAnthropicMessagesRequest } from "../../llm_calls/anthropic_messages";
 
 vi.mock("@/components/llm_calls/fetch_models", () => ({
   fetchAvailableModels: vi.fn(),
@@ -14,6 +15,10 @@ vi.mock("@/components/llm_calls/chat_completion", () => ({
   makeOpenAIChatCompletionRequest: vi.fn().mockResolvedValue(undefined),
 }));
 
+vi.mock("../../llm_calls/anthropic_messages", () => ({
+  makeAnthropicMessagesRequest: vi.fn().mockResolvedValue(undefined),
+}));
+
 vi.mock("@/components/networking", () => ({
   tagListCall: vi.fn().mockResolvedValue({}),
   vectorStoreListCall: vi.fn().mockResolvedValue({ data: [] }),
@@ -32,6 +37,8 @@ beforeEach(() => {
 
 const CHAT_REQUEST_ARG_COUNT = 26;
 const STREAMING_ENABLED_ARG_INDEX = 25;
+const MESSAGES_REQUEST_ARG_COUNT = 19;
+const MESSAGES_STREAMING_ENABLED_ARG_INDEX = 18;
 
 async function openComboboxByPlaceholder(placeholder: string) {
   const user = userEvent.setup();
@@ -378,6 +385,52 @@ describe("ChatUI", () => {
     expect(requestArgs[STREAMING_ENABLED_ARG_INDEX]).toBe(false);
   });
 
+  it("should send the /v1/messages request non-streaming after Stream responses is unchecked", async () => {
+    const user = userEvent.setup();
+    render(
+      <ChatUI
+        accessToken="1234567890"
+        token="1234567890"
+        userRole="user"
+        userID="1234567890"
+        disabledPersonalKeyCreation={false}
+      />,
+    );
+
+    await waitFor(() => {
+      expect(screen.getByText("Test Key")).toBeInTheDocument();
+    });
+
+    await selectComboboxOption("Select an endpoint", "/v1/messages");
+    await selectComboboxOption("Select a Model", "Model 1");
+
+    await user.click(await screen.findByTestId("model-settings-button"));
+
+    const streamingCheckbox = await screen.findByRole("checkbox", { name: /Stream responses/i });
+    expect(streamingCheckbox).toBeChecked();
+    await user.click(streamingCheckbox);
+
+    await waitFor(() => {
+      expect(screen.getByRole("checkbox", { name: /Stream responses/i })).not.toBeChecked();
+    });
+
+    const messageInput = screen.getByPlaceholderText("Type your message... (Shift+Enter for new line)");
+    await act(async () => {
+      fireEvent.change(messageInput, { target: { value: "hello" } });
+    });
+    await act(async () => {
+      fireEvent.keyDown(messageInput, { key: "Enter", code: "Enter" });
+    });
+
+    await waitFor(() => {
+      expect(makeAnthropicMessagesRequest).toHaveBeenCalledTimes(1);
+    });
+
+    const requestArgs = vi.mocked(makeAnthropicMessagesRequest).mock.calls[0];
+    expect(requestArgs).toHaveLength(MESSAGES_REQUEST_ARG_COUNT);
+    expect(requestArgs[MESSAGES_STREAMING_ENABLED_ARG_INDEX]).toBe(false);
+  });
+
   it("should force streaming in simplified mode even when the playground setting is off", async () => {
     sessionStorage.setItem("streamingEnabled", "false");
 
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/components/chat_ui/ChatUI.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/components/chat_ui/ChatUI.tsx
index 35378d3d4e7..eca9e2323ae 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/playground/components/chat_ui/ChatUI.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/components/chat_ui/ChatUI.tsx
@@ -1025,6 +1025,7 @@ const ChatUI: React.FC<ChatUIProps> = ({
             mcpServers,
             mcpServerToolRestrictions,
             mcpToolsets,
+            streamingEnabled,
           );
         } else if (endpointType === EndpointType.EMBEDDINGS) {
           await makeOpenAIEmbeddingsRequest(
@@ -1174,7 +1175,10 @@ const ChatUI: React.FC<ChatUIProps> = ({
     return !model.mode || model.mode === "chat";
   };
 
-  const supportsStreamingToggle = endpointType === EndpointType.CHAT || endpointType === EndpointType.RESPONSES;
+  const supportsStreamingToggle =
+    endpointType === EndpointType.CHAT ||
+    endpointType === EndpointType.RESPONSES ||
+    endpointType === EndpointType.ANTHROPIC_MESSAGES;
   const modelsForEndpoint = useMemo(
     () => filterModelsForEndpoint(modelInfo, endpointType as EndpointType),
     [modelInfo, endpointType],
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.test.tsx
index 96ace129f87..9f030d8b2d4 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.test.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.test.tsx
@@ -7,13 +7,27 @@ vi.mock("@/components/networking", () => ({
 }));
 
 const mockMessagesStream = vi.fn();
+const mockMessagesCreate = vi.fn();
 
 vi.mock("@anthropic-ai/sdk", () => ({
   default: vi.fn(function () {
-    return { messages: { stream: mockMessagesStream } };
+    return { messages: { stream: mockMessagesStream, create: mockMessagesCreate } };
   }),
 }));
 
+const NON_STREAMING_ARGS = [
+  undefined, // traceId
+  undefined, // vector_store_ids
+  undefined, // guardrails
+  undefined, // policies
+  undefined, // selectedMCPServers
+  undefined, // customBaseUrl
+  undefined, // mcpServers
+  undefined, // mcpServerToolRestrictions
+  undefined, // mcpToolsets
+  false, // streamingEnabled
+] as const;
+
 describe("anthropic_messages prompt cache usage", () => {
   const captureUsage = async (usage: Record<string, unknown>): Promise<TokenUsage> => {
     async function* mockStream() {
@@ -59,3 +73,53 @@ describe("anthropic_messages prompt cache usage", () => {
     expect(usageData.promptTokens).toBe(5000);
   });
 });
+
+describe("anthropic_messages non-streaming", () => {
+  afterEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it("sends stream:false through messages.create and renders the full reply at once", async () => {
+    mockMessagesCreate.mockResolvedValue({
+      content: [
+        { type: "thinking", thinking: "considering" },
+        { type: "text", text: "OK" },
+      ],
+      usage: { input_tokens: 12, output_tokens: 3, cache_read_input_tokens: 7 },
+    });
+    const updateTextUI = vi.fn();
+    const onReasoningContent = vi.fn();
+    const onUsageData = vi.fn();
+
+    await makeAnthropicMessagesRequest(
+      [{ role: "user", content: "Hello" }],
+      updateTextUI,
+      "claude-haiku-4-5",
+      "test-token",
+      undefined,
+      undefined,
+      onReasoningContent,
+      undefined,
+      onUsageData,
+      ...NON_STREAMING_ARGS,
+    );
+
+    expect(mockMessagesStream).not.toHaveBeenCalled();
+    expect(mockMessagesCreate).toHaveBeenCalledTimes(1);
+    expect(mockMessagesCreate.mock.calls[0][0]).toMatchObject({ model: "claude-haiku-4-5", stream: false });
+    expect(updateTextUI).toHaveBeenCalledWith("assistant", "OK", "claude-haiku-4-5");
+    expect(onReasoningContent).toHaveBeenCalledWith("considering");
+    const expectedUsage: TokenUsage = { completionTokens: 3, promptTokens: 12, totalTokens: 15, cacheReadTokens: 7 };
+    expect(onUsageData).toHaveBeenCalledWith(expectedUsage);
+  });
+
+  it("keeps streaming as the default when the flag is omitted", async () => {
+    async function* emptyStream() {}
+    mockMessagesStream.mockReturnValue(emptyStream());
+
+    await makeAnthropicMessagesRequest([{ role: "user", content: "Hello" }], vi.fn(), "claude-haiku-4-5", "test-token");
+
+    expect(mockMessagesCreate).not.toHaveBeenCalled();
+    expect(mockMessagesStream.mock.calls[0][0]).toMatchObject({ stream: true });
+  });
+});
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.tsx
index 14afa013768..9dd2f675c44 100644
--- a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.tsx
+++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/anthropic_messages.tsx
@@ -7,6 +7,13 @@ import { getProxyBaseUrl } from "@/components/networking";
 import { toast } from "@/lib/toast";
 import { extractPromptCacheTokens } from "@/utils/promptCacheUsage";
 
+const toTokenUsage = (usage: Anthropic.Usage): TokenUsage => ({
+  completionTokens: usage.output_tokens,
+  promptTokens: usage.input_tokens,
+  totalTokens: usage.input_tokens + usage.output_tokens,
+  ...extractPromptCacheTokens(usage),
+});
+
 export async function makeAnthropicMessagesRequest(
   messages: MessageType[],
   updateTextUI: (role: string, delta: string, model?: string) => void,
@@ -26,6 +33,7 @@ export async function makeAnthropicMessagesRequest(
   mcpServers?: MCPServer[],
   mcpServerToolRestrictions?: Record<string, string[]>,
   mcpToolsets?: MCPToolset[],
+  streamingEnabled: boolean = true,
 ) {
   if (!accessToken) {
     throw new Error("Virtual Key is required");
@@ -58,7 +66,7 @@ export async function makeAnthropicMessagesRequest(
     const requestBody: any = {
       model: selectedModel,
       messages: messages.map((m) => ({ role: m.role, content: m.content })),
-      stream: true,
+      stream: streamingEnabled,
       max_tokens: 1024,
       // @ts-ignore - litellm specific parameter
       litellm_trace_id: traceId,
@@ -74,6 +82,20 @@ export async function makeAnthropicMessagesRequest(
     if (vector_store_ids) requestBody.vector_store_ids = vector_store_ids;
     if (guardrails) requestBody.guardrails = guardrails;
     if (policies) requestBody.policies = policies;
+
+    if (!streamingEnabled) {
+      const message: Anthropic.Message = await client.messages.create({ ...requestBody, stream: false }, { signal });
+      for (const block of message.content) {
+        if (block.type === "text") {
+          updateTextUI("assistant", block.text, selectedModel);
+        } else if (block.type === "thinking" && onReasoningContent) {
+          onReasoningContent(block.thinking);
+        }
+      }
+      onUsageData?.(toTokenUsage(message.usage));
+      return;
+    }
+
     // Use the streaming helper method for cleaner async iteration
     // @ts-ignore - The SDK types might not include all litellm-specific parameters
     const stream = client.messages.stream(requestBody, { signal });
@@ -105,14 +127,7 @@ export async function makeAnthropicMessagesRequest(
 
       // Process usage data from message_delta events
       if (messageStreamEvent.type === "message_delta" && (messageStreamEvent as any).usage && onUsageData) {
-        const usage = (messageStreamEvent as any).usage;
-        const usageData: TokenUsage = {
-          completionTokens: usage.output_tokens,
-          promptTokens: usage.input_tokens,
-          totalTokens: usage.input_tokens + usage.output_tokens,
-          ...extractPromptCacheTokens(usage),
-        };
-        onUsageData(usageData);
+        onUsageData(toTokenUsage((messageStreamEvent as any).usage));
       }
     }
   } catch (error) {