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 01/98] 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 02/98] 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 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 03/98] 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 04/98] 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 05/98] 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 06/98] 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 07/98] 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 08/98] 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 09/98] 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 10/98] 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 11/98] 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 12/98] 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 13/98] 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 14/98] 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 15/98] 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 16/98] 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 17/98] 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 18/98] 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 19/98] 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 20/98] 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 21/98] 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 22/98] 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 23/98] 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 24/98] 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 25/98] 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 26/98] 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 27/98] 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 28/98] 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 29/98] 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 30/98] 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 31/98] 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 32/98] 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 33/98] 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 34/98] 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 35/98] 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 36/98] 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 37/98] 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 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 38/98] 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 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 39/98] 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 40/98] 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 41/98] 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 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 42/98] 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 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 43/98] 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 44/98] 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 45/98] 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 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 46/98] 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 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 47/98] 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 48/98] 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 49/98] 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 50/98] 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 51/98] 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 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 52/98] 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 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 53/98] 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 54/98] 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 55/98] 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 56/98] 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 57/98] 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 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 58/98] 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 = "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 59/98] 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 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 60/98] 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 61/98] 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 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 62/98] 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 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 63/98] 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 64/98] 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 65/98] 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 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 66/98] 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 67/98] 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 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 68/98] 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 69/98] 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 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 70/98] 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 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 71/98] 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 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 72/98] 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 73/98] 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 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 74/98] 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 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 75/98] 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 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 76/98] 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 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 77/98] 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": {
-        "node": ">=6.0.0"
-      }
-    },
     "node_modules/@anthropic-ai/sdk": {
       "version": "0.92.0",
       "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.92.0.tgz",
@@ -1955,16 +1942,6 @@
         "url": "https://opencollective.com/libvips"
       }
     },
-    "node_modules/@istanbuljs/schema": {
-      "version": "0.1.6",
-      "resolved": "https://registry.npmjs.org/@istanbuljs/schema/-/schema-0.1.6.tgz",
-      "integrity": "sha512-+Sg6GCR/wy1oSmQDFq4LQDAhm3ETKnorxN+y5nbLULOR3P0c14f2Wurzj3/xqPXtasLFfHd5iRFQ7AJt4KH2cw==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">=8"
-      }
-    },
     "node_modules/@jridgewell/gen-mapping": {
       "version": "0.3.13",
       "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.13.tgz",
@@ -2035,25 +2012,26 @@
       }
     },
     "node_modules/@next/env": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/env/-/env-16.2.11.tgz",
-      "integrity": "sha512-0do5A3BJ2gxWr0ZCMcD6BhW+e595jyxdTl3rXTS6lOtD8ektMiW6CO+EPwt1Eca1DBnm90r/7GdiKWBKxH++DA==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/env/-/env-16.3.3.tgz",
+      "integrity": "sha512-U2eYQRwXj+dsqxV79zFqExDdatnNY/ZWc2nsJU1p/OgT7fd3dXwlF6OjYaFQCfMoeTA19PWq+wVmYgimVA+V+g==",
       "license": "MIT"
     },
     "node_modules/@next/eslint-plugin-next": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/eslint-plugin-next/-/eslint-plugin-next-16.2.11.tgz",
-      "integrity": "sha512-vMEf/aXOpzFFdtIvFYOnIDPKb0xBbrXONsz83CcKdRrekfxNdL8PNkq5qHqAHSXVlIifnX68LOMaxr3z5PkeLQ==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/eslint-plugin-next/-/eslint-plugin-next-16.3.3.tgz",
+      "integrity": "sha512-pbEh30vvjKpDoTAmo1v3q2uM4JUi8QaEBpbmjWvGfoec2jLghy/WNtvzAT0bk+Ik9oz6etjt4YjXEk4BQnicCw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
+        "@eslint-community/eslint-utils": "4.9.1",
         "fast-glob": "3.3.1"
       }
     },
     "node_modules/@next/swc-darwin-arm64": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-16.2.11.tgz",
-      "integrity": "sha512-wryL4pjKmDwGv2ox6+GZDFxvmtSRLqApBR8kL1j4+vhB7Z5vJC/zAnXpiR9Xkfzl0AS8WLMnsuGV/UKI67/rrw==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-arm64/-/swc-darwin-arm64-16.3.3.tgz",
+      "integrity": "sha512-8Hiv32QJPwdV6KYJ8meR9SBA061tQqnIKTJDocvOXlEQqib0xMFpzArosuffFUUc0sslbh7QQ8a3Yey1QV8EIw==",
       "cpu": [
         "arm64"
       ],
@@ -2067,9 +2045,9 @@
       }
     },
     "node_modules/@next/swc-darwin-x64": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-16.2.11.tgz",
-      "integrity": "sha512-aZl2j4f/fLyjQvOhv0Oe9UaMAQHolYpKhctsoYzplSumKJKPUmgjcf6545aBtysLTcu994TREd0+pSgNE4ohmg==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/swc-darwin-x64/-/swc-darwin-x64-16.3.3.tgz",
+      "integrity": "sha512-A1lgKgwVchRYmSe467zdwhxT9040dd8lH+o65sL5Jet8fjB4kegw/rDyPIpYVRb6jAqwXFOJpjIXJLxQKLiE3A==",
       "cpu": [
         "x64"
       ],
@@ -2083,12 +2061,15 @@
       }
     },
     "node_modules/@next/swc-linux-arm64-gnu": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-16.2.11.tgz",
-      "integrity": "sha512-5jEriyEnH/LWFy27L2ZG0XaLlyEJIjhsImEsiS9P563PKEVp2BVups/xfOucIrsvVntp11oNcZwjHvaDPYVB5g==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-gnu/-/swc-linux-arm64-gnu-16.3.3.tgz",
+      "integrity": "sha512-bf0FIssMFueU2dm7vQEWWxk0c8UjKTdW0yzuh0sQsD8pf1+KCLDdaqhYZNMYGmXwEOiHAUzgBKudovIlcvvBjg==",
       "cpu": [
         "arm64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "MIT",
       "optional": true,
       "os": [
@@ -2099,12 +2080,15 @@
       }
     },
     "node_modules/@next/swc-linux-arm64-musl": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-16.2.11.tgz",
-      "integrity": "sha512-eIjcpx2fnnFSSkZDbTxy74KnokUXDjfoLClpWelfgHLf621aTqswhwXQ7GkD5K5rplrS6LZ/Bj+mVuvzluBOEg==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-arm64-musl/-/swc-linux-arm64-musl-16.3.3.tgz",
+      "integrity": "sha512-W7viwCk9JY/cAkdz/A273rd5bb3RgT/IHwR7Upv90tunjBWNtAAhGhoecHh+teRNRSinuAFmE+l7fwZ4YKkrXg==",
       "cpu": [
         "arm64"
       ],
+      "libc": [
+        "musl"
+      ],
       "license": "MIT",
       "optional": true,
       "os": [
@@ -2115,12 +2099,15 @@
       }
     },
     "node_modules/@next/swc-linux-x64-gnu": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-16.2.11.tgz",
-      "integrity": "sha512-8WgzpaWMs46qJT9kiV47cje86L0x/Mu9t8/Gwj+pnbgW3rETVfCnaScPjlYUwNScpOozdcIMHWmAvuZJUonR2w==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-gnu/-/swc-linux-x64-gnu-16.3.3.tgz",
+      "integrity": "sha512-0W46zw1N3ODpI6n0GeivHvvob1pooozgZVqy65k0mh4/7vr+FbY9+WpHzNVXjHipJf/A3FDheBG19H1s5A25rA==",
       "cpu": [
         "x64"
       ],
+      "libc": [
+        "glibc"
+      ],
       "license": "MIT",
       "optional": true,
       "os": [
@@ -2131,12 +2118,15 @@
       }
     },
     "node_modules/@next/swc-linux-x64-musl": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-16.2.11.tgz",
-      "integrity": "sha512-I3UgPds7G4ZYnTb/H+5GBGuUT2DhAk6j0mL6A4s63RjFs74wB2hOWP0vaxsK+3NJraExt3eYEPQ/UtT0x/64Nw==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/swc-linux-x64-musl/-/swc-linux-x64-musl-16.3.3.tgz",
+      "integrity": "sha512-H4mBso8ZTMBPtdT0PN0pBx2ayTvQuTuvS6qT13d77yVFJXAPCxkyIhLTmdMaGTJs0krQYI/qpzdHijCeihXhbg==",
       "cpu": [
         "x64"
       ],
+      "libc": [
+        "musl"
+      ],
       "license": "MIT",
       "optional": true,
       "os": [
@@ -2147,9 +2137,9 @@
       }
     },
     "node_modules/@next/swc-win32-arm64-msvc": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-16.2.11.tgz",
-      "integrity": "sha512-n89CjtcThnjrwgJMAiI5xbqwLY51zvwC9tSlArmVndAJLYVl9T9UAdlkXTmZvE++idoXe8KdglQlhNRdUp1c6g==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-16.3.3.tgz",
+      "integrity": "sha512-cTMUJpcEGmeywofCUfhR+rSsoE33+rVPnPEYNTNdLNlsOeEg/vktOsKUSTb28vUGqD2jkm4Zaskcwn7OCI6FQg==",
       "cpu": [
         "arm64"
       ],
@@ -2163,9 +2153,9 @@
       }
     },
     "node_modules/@next/swc-win32-x64-msvc": {
-      "version": "16.2.11",
-      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-16.2.11.tgz",
-      "integrity": "sha512-md8CLNggS1Dx9pUgApzps5uAf+N8GN9xywzmNx9vHAWo94HtBwCCqkSnhIrdfQe83Dhz8Lfo/20Nb1Zxal092w==",
+      "version": "16.3.3",
+      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-16.3.3.tgz",
+      "integrity": "sha512-2VR4cTBzHXaBjnGsuH6GyJjENzQOmHeAh11uY1iUhjm3j5dEUrVJuUj+VL78jaGi/Dik8xS76zEj18BsFhlVZQ==",
       "cpu": [
         "x64"
       ],
@@ -2965,9 +2955,9 @@
       "license": "MIT"
     },
     "node_modules/@swc/helpers": {
-      "version": "0.5.15",
-      "resolved": "https://registry.npmjs.org/@swc/helpers/-/helpers-0.5.15.tgz",
-      "integrity": "sha512-JQ5TuMi45Owi4/BIMAJBoSQoOJu12oOk/gADqlcUL9JEdHB8vyjUSsxqeNXnmXHjYKMi2WcYtezGEEhqUI/E2g==",
+      "version": "0.5.23",
+      "resolved": "https://registry.npmjs.org/@swc/helpers/-/helpers-0.5.23.tgz",
+      "integrity": "sha512-5lSsMOTXURePglDfvuAQUqkGek9Hg2kksOYay2m0+XR++b2NWYL/4sWyuvVBIs8oKnJaxkdi9whaL/sqN13afw==",
       "license": "Apache-2.0",
       "dependencies": {
         "tslib": "^2.8.0"
@@ -4325,32 +4315,29 @@
       ]
     },
     "node_modules/@vitest/coverage-v8": {
-      "version": "3.2.6",
-      "resolved": "https://registry.npmjs.org/@vitest/coverage-v8/-/coverage-v8-3.2.6.tgz",
-      "integrity": "sha512-LsAdmUapA0qSN306d8+zOyawM0hFm2m2Hg9IwVNIKBm+qJV8cijiq2c+gxKZcB1HCfIWAy+0qEZDCUQA58A1cw==",
+      "version": "4.1.11",
+      "resolved": "https://registry.npmjs.org/@vitest/coverage-v8/-/coverage-v8-4.1.11.tgz",
+      "integrity": "sha512-8MVGEFnJIcdGjcbfKmeq8z0pZHH0JlVtoVZH9Q/qwUp6wyFnEJUBMrw9DCaj+ra3vShGmhavjalMIhPNxZAUcw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@ampproject/remapping": "^2.3.0",
         "@bcoe/v8-coverage": "^1.0.2",
-        "ast-v8-to-istanbul": "^0.3.3",
-        "debug": "^4.4.1",
+        "@vitest/utils": "4.1.11",
+        "ast-v8-to-istanbul": "^1.0.0",
         "istanbul-lib-coverage": "^3.2.2",
         "istanbul-lib-report": "^3.0.1",
-        "istanbul-lib-source-maps": "^5.0.6",
-        "istanbul-reports": "^3.1.7",
-        "magic-string": "^0.30.17",
-        "magicast": "^0.3.5",
-        "std-env": "^3.9.0",
-        "test-exclude": "^7.0.1",
-        "tinyrainbow": "^2.0.0"
+        "istanbul-reports": "^3.2.0",
+        "magicast": "^0.5.2",
+        "obug": "^2.1.1",
+        "std-env": "^4.0.0-rc.1",
+        "tinyrainbow": "^3.1.0"
       },
       "funding": {
         "url": "https://opencollective.com/vitest"
       },
       "peerDependencies": {
-        "@vitest/browser": "3.2.6",
-        "vitest": "3.2.6"
+        "@vitest/browser": "4.1.11",
+        "vitest": "4.1.11"
       },
       "peerDependenciesMeta": {
         "@vitest/browser": {
@@ -4359,39 +4346,40 @@
       }
     },
     "node_modules/@vitest/expect": {
-      "version": "3.2.6",
-      "resolved": "https://registry.npmjs.org/@vitest/expect/-/expect-3.2.6.tgz",
-      "integrity": "sha512-1+7q9BtaKzEmO+fmNT3kYvoNn5Y71XWAx2Q5HRim4tTVRQVRv4uJFAQ5FbK0OPUeNP/WmVCpxYxoJdvuHVjzBQ==",
+      "version": "4.1.11",
+      "resolved": "https://registry.npmjs.org/@vitest/expect/-/expect-4.1.11.tgz",
+      "integrity": "sha512-VX2x5vNJXET47KAFzwERI+KRMtTTCSWTfSMKsW7JsUsXV4psq++e3DvZpuTDOpHcxytiDs6p2nhVb2tVDiiUYw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
+        "@standard-schema/spec": "^1.1.0",
         "@types/chai": "^5.2.2",
-        "@vitest/spy": "3.2.6",
-        "@vitest/utils": "3.2.6",
-        "chai": "^5.2.0",
-        "tinyrainbow": "^2.0.0"
+        "@vitest/spy": "4.1.11",
+        "@vitest/utils": "4.1.11",
+        "chai": "^6.2.2",
+        "tinyrainbow": "^3.1.0"
       },
       "funding": {
         "url": "https://opencollective.com/vitest"
       }
     },
     "node_modules/@vitest/mocker": {
-      "version": "3.2.6",
-      "resolved": "https://registry.npmjs.org/@vitest/mocker/-/mocker-3.2.6.tgz",
-      "integrity": "sha512-EZOrpDbkKotFAP7wPAQV1UIyoGOk4oX7ynWhBhLB7v+meMHbQhU16oPpIYGTTe4oFlhpryGpgpcZP/sin3hYuw==",
+      "version": "4.1.11",
+      "resolved": "https://registry.npmjs.org/@vitest/mocker/-/mocker-4.1.11.tgz",
+      "integrity": "sha512-2XJVD55d1o5AZous5CCGKS74g/riOj9odEt2bQpCVZeblHyHdnMeFl4jl0XjU21stf4mbjUkew2eXQZt65g5CQ==",
       "dev": true,
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@@ -10069,6 +9967,20 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/obug": {
+      "version": "2.1.4",
+      "resolved": "https://registry.npmjs.org/obug/-/obug-2.1.4.tgz",
+      "integrity": "sha512-4a+OsYv9UktOJKE+l1A4OufDgdRF9PifWj+tJnHURo/P+WOxpG4GzUFL9qCalmWauao6ogiG+QvnCovwPoyAWA==",
+      "dev": true,
+      "funding": [
+        "https://github.com/sponsors/sxzz",
+        "https://opencollective.com/debug"
+      ],
+      "license": "MIT",
+      "engines": {
+        "node": ">=12.20.0"
+      }
+    },
     "node_modules/openai": {
       "version": "4.104.0",
       "resolved": "https://registry.npmjs.org/openai/-/openai-4.104.0.tgz",
@@ -10378,23 +10290,6 @@
       "dev": true,
       "license": "MIT"
     },
-    "node_modules/path-scurry": {
-      "version": "2.0.2",
-      "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-2.0.2.tgz",
-      "integrity": "sha512-3O/iVVsJAPsOnpwWIeD+d6z/7PmqApyQePUtCndjatj/9I5LylHvt5qluFaBT3I5h3r1ejfR056c+FCv+NnNXg==",
-      "dev": true,
-      "license": "BlueOak-1.0.0",
-      "dependencies": {
-        "lru-cache": "^11.0.0",
-        "minipass": "^7.1.2"
-      },
-      "engines": {
-        "node": "18 || 20 || >=22"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/isaacs"
-      }
-    },
     "node_modules/pathe": {
       "version": "2.0.3",
       "resolved": "https://registry.npmjs.org/pathe/-/pathe-2.0.3.tgz",
@@ -10402,16 +10297,6 @@
       "dev": true,
       "license": "MIT"
     },
-    "node_modules/pathval": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/pathval/-/pathval-2.0.1.tgz",
-      "integrity": "sha512-//nshmD55c46FuFw26xV/xFAaB5HF9Xdap7HJBBnrKdAd6/GxDBaNA1870O79+9ueg61cZLSVc+OaFlfmObYVQ==",
-      "dev": true,
-      "license": "MIT",
-      "engines": {
-        "node": ">= 14.16"
-      }
-    },
     "node_modules/picocolors": {
       "version": "1.1.1",
       "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz",
@@ -11531,9 +11416,9 @@
       "license": "MIT"
     },
     "node_modules/std-env": {
-      "version": "3.10.0",
-      "resolved": "https://registry.npmjs.org/std-env/-/std-env-3.10.0.tgz",
-      "integrity": "sha512-5GS12FdOZNliM5mAOxFRg7Ir0pWz8MdpYm6AY6VPkGpbA7ZzmbzNcBJQ0GPvvyWgcY7QAhCgf9Uy89I03faLkg==",
+      "version": "4.2.0",
+      "resolved": "https://registry.npmjs.org/std-env/-/std-env-4.2.0.tgz",
+      "integrity": "sha512-oCUKSupKTHX53EyjDtuZQ64pjLJ6yYCtpmEw0goYxtjG9KpbRe8KAsl2tBUGU9DyMcJ0RwJ8GqJAFzMXcXW1Rw==",
       "dev": true,
       "license": "MIT"
     },
@@ -11714,26 +11599,6 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/strip-literal": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/strip-literal/-/strip-literal-3.1.0.tgz",
-      "integrity": "sha512-8r3mkIM/2+PpjHoOtiAW8Rg3jJLHaV7xPwG+YRGrv6FP0wwk/toTpATxWYOW0BKdWwl82VT2tFYi5DlROa0Mxg==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "js-tokens": "^9.0.1"
-      },
-      "funding": {
-        "url": "https://github.com/sponsors/antfu"
-      }
-    },
-    "node_modules/strip-literal/node_modules/js-tokens": {
-      "version": "9.0.1",
-      "resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-9.0.1.tgz",
-      "integrity": "sha512-mxa9E9ITFOt0ban3j6L5MpjwegGz6lBQmM1IJkWeBZGcMxto50+eWdjC/52xDbS2vy0k7vIMK0Fe2wfL9OQSpQ==",
-      "dev": true,
-      "license": "MIT"
-    },
     "node_modules/style-to-js": {
       "version": "1.1.21",
       "resolved": "https://registry.npmjs.org/style-to-js/-/style-to-js-1.1.21.tgz",
@@ -11838,21 +11703,6 @@
         "url": "https://opencollective.com/webpack"
       }
     },
-    "node_modules/test-exclude": {
-      "version": "7.0.2",
-      "resolved": "https://registry.npmjs.org/test-exclude/-/test-exclude-7.0.2.tgz",
-      "integrity": "sha512-u9E6A+ZDYdp7a4WnarkXPZOx8Ilz46+kby6p1yZ8zsGTz9gYa6FIS7lj2oezzNKmtdyyJNNmmXDppga5GB7kSw==",
-      "dev": true,
-      "license": "ISC",
-      "dependencies": {
-        "@istanbuljs/schema": "^0.1.2",
-        "glob": "^10.4.1",
-        "minimatch": "^10.2.2"
-      },
-      "engines": {
-        "node": ">=18"
-      }
-    },
     "node_modules/tiny-invariant": {
       "version": "1.3.3",
       "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz",
@@ -11867,11 +11717,14 @@
       "license": "MIT"
     },
     "node_modules/tinyexec": {
-      "version": "0.3.2",
-      "resolved": "https://registry.npmjs.org/tinyexec/-/tinyexec-0.3.2.tgz",
-      "integrity": "sha512-KQQR9yN7R5+OSwaK0XQoj22pwHoTlgYqmUscPYoknOoWCWfj/5/ABTMRi69FrKU5ffPVh5QcFikpWJI/P1ocHA==",
+      "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 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 78/98] 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 79/98] 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 80/98] 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 81/98] 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 82/98] 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 83/98] 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 84/98] 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 85/98] 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 86/98] 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",
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@@ -1737,16 +1770,19 @@
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@@ -1759,16 +1795,19 @@
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@@ -1781,16 +1820,19 @@
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@@ -1803,16 +1845,19 @@
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@@ -1825,16 +1870,19 @@
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@@ -1847,17 +1895,17 @@
         "url": "https://opencollective.com/libvips"
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       "optionalDependencies": {
-        "@img/sharp-libvips-linuxmusl-x64": "1.3.2"
+        "@img/sharp-libvips-linuxmusl-x64": "1.3.3"
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+      "resolved": "https://registry.npmjs.org/@img/sharp-wasm32/-/sharp-wasm32-0.35.4.tgz",
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-        "@emnapi/runtime": "^1.11.1"
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@@ -1867,16 +1915,16 @@
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       "optional": true,
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+        "@img/sharp-wasm32": "0.35.4"
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@@ -1886,9 +1934,9 @@
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+      "version": "0.35.4",
+      "resolved": "https://registry.npmjs.org/@img/sharp-win32-arm64/-/sharp-win32-arm64-0.35.4.tgz",
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@@ -1905,9 +1953,9 @@
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-      "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==",
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@@ -1924,9 +1972,9 @@
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     "node_modules/@img/sharp-win32-x64": {
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-      "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==",
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@@ -7930,9 +7978,9 @@
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-      "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-4.3.1.tgz",
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+      "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,
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@@ -11183,9 +11231,9 @@
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-      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.35.3.tgz",
-      "integrity": "sha512-ej0zVHuZGHCiABXcNxeYhpRnPNPAcvbG8RMdBAhDAxLKkCRVSpK3Iyu7qbqw3JMzoj0REeM6f3tJLtVwl0023Q==",
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+      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.35.4.tgz",
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@@ -11200,31 +11248,31 @@
         "url": "https://opencollective.com/libvips"
       },
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-        "@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"
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       "peerDependenciesMeta": {
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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 87/98] 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 88/98] 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 89/98] 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 90/98] 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 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 91/98] 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 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 92/98] 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 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 93/98] 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 94/98] 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 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 95/98] 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 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 96/98] 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 97/98] 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 98/98] 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" } },
     });
   });