From 4f7e63ed4a260f6e24f49255e25fc4fe7eab6c42 Mon Sep 17 00:00:00 2001
From: Tuan Vuong <vanhtuan0409@gmail.com>
Date: Thu, 19 Mar 2026 10:54:24 +0700
Subject: [PATCH 001/115] fix(schema): restore MCP server fields dropped by
 schema_sync migration

Re-adds missing fields to LiteLLM_MCPServerTable that were accidentally
dropped by 20260311180521_schema_sync, and syncs the extras schema.prisma
to match the main schema.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---
 .../migration.sql                                   | 13 +++++++++++++
 .../litellm_proxy_extras/schema.prisma              |  3 +++
 2 files changed, 16 insertions(+)
 create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20260319000000_restore_mcp_approval_fields/migration.sql

diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260319000000_restore_mcp_approval_fields/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260319000000_restore_mcp_approval_fields/migration.sql
new file mode 100644
index 00000000000..fa8724046c2
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260319000000_restore_mcp_approval_fields/migration.sql
@@ -0,0 +1,13 @@
+-- Restore fields dropped by 20260311180521_schema_sync on LiteLLM_MCPServerTable
+-- AlterTable
+ALTER TABLE "LiteLLM_MCPServerTable"
+  ADD COLUMN IF NOT EXISTS "source_url"       TEXT,
+  ADD COLUMN IF NOT EXISTS "approval_status"  TEXT DEFAULT 'active',
+  ADD COLUMN IF NOT EXISTS "submitted_by"     TEXT,
+  ADD COLUMN IF NOT EXISTS "submitted_at"     TIMESTAMP(3),
+  ADD COLUMN IF NOT EXISTS "reviewed_at"      TIMESTAMP(3),
+  ADD COLUMN IF NOT EXISTS "review_notes"     TEXT;
+
+-- CreateIndex
+CREATE INDEX IF NOT EXISTS "LiteLLM_MCPServerTable_approval_status_idx"
+  ON "LiteLLM_MCPServerTable"("approval_status");
diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
index a2c83295403..88affb3c519 100644
--- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
+++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
@@ -320,11 +320,14 @@ model LiteLLM_MCPServerTable {
   is_byok               Boolean  @default(false)
   byok_description      String[] @default([])
   byok_api_key_help_url String?
+  source_url            String?
   approval_status       String    @default("approved")
   submitted_by          String?
   submitted_at          DateTime?
   reviewed_at           DateTime?
   review_notes          String?
+
+  @@index([approval_status])
 }
 
 // Per-user BYOK credentials for MCP servers

From 93e3c81772dd204ae3314a199a85e5bb325289c1 Mon Sep 17 00:00:00 2001
From: Tuan Vuong <vanhtuan0409@gmail.com>
Date: Thu, 19 Mar 2026 11:06:25 +0700
Subject: [PATCH 002/115] fix(schema): align approval_status default in
 proxy-extras schema

Change default from "approved" to "active" and make field nullable
(String?) to match litellm/proxy/schema.prisma and the migration SQL.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---
 litellm-proxy-extras/litellm_proxy_extras/schema.prisma | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
index 88affb3c519..d8d6015ce87 100644
--- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
+++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma
@@ -321,7 +321,7 @@ model LiteLLM_MCPServerTable {
   byok_description      String[] @default([])
   byok_api_key_help_url String?
   source_url            String?
-  approval_status       String    @default("approved")
+  approval_status       String?   @default("active")
   submitted_by          String?
   submitted_at          DateTime?
   reviewed_at           DateTime?

From d560e4c009b6da2afa0ee9bbb1414cde51a62cd4 Mon Sep 17 00:00:00 2001
From: Lei Nie <lenie@quora.com>
Date: Mon, 23 Mar 2026 21:02:15 +0000
Subject: [PATCH 003/115] fix(responses): emit content_part.added event for
 non-OpenAI models

LiteLLMCompletionStreamingIterator defined create_content_part_added_event()
but never called it, so non-OpenAI providers (Claude, Gemini, etc.) skipped
this spec-required event. Downstream parsers that process content_part.added
to initialize the text part structure would fail when output_text.delta
arrived before the text part existed.
---
 .../streaming_iterator.py                                 | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/litellm/responses/litellm_completion_transformation/streaming_iterator.py b/litellm/responses/litellm_completion_transformation/streaming_iterator.py
index 0672b03bcd7..9acc8f41c2a 100644
--- a/litellm/responses/litellm_completion_transformation/streaming_iterator.py
+++ b/litellm/responses/litellm_completion_transformation/streaming_iterator.py
@@ -845,6 +845,14 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator):
         )
         event.__dict__["sequence_number"] = self._sequence_number
         self._pending_response_events.append(event)
+
+        # Emit content_part.added immediately after output_item.added for message
+        # items. The OpenAI Responses spec requires this event before any
+        # output_text.delta events so downstream parsers can initialize the
+        # text part structure.
+        self.sent_content_part_added_event = True
+        content_part_event = self.create_content_part_added_event()
+        self._pending_response_events.append(content_part_event)
         return
 
     async def __anext__(

From 1716956520e12588e2918eb0d9e109b68b6549f0 Mon Sep 17 00:00:00 2001
From: Lei Nie <lenie@quora.com>
Date: Mon, 23 Mar 2026 22:21:29 +0000
Subject: [PATCH 004/115] test(responses): update expected events and add mock
 test for content_part.added

- Update test_anthropic_via_responses_api expected_events to include
  CONTENT_PART_ADDED between OUTPUT_ITEM_ADDED and OUTPUT_TEXT_DELTA
- Add TestEnsureOutputItemContentPartAdded with 3 mock tests:
  message item emits content_part.added, reasoning item does not,
  and the event is only emitted once
---
 .../streaming_iterator.py                     |  7 +-
 .../test_anthropic_completion.py              |  1 +
 .../test_litellm_completion_responses.py      | 94 +++++++++++++++++++
 3 files changed, 99 insertions(+), 3 deletions(-)

diff --git a/litellm/responses/litellm_completion_transformation/streaming_iterator.py b/litellm/responses/litellm_completion_transformation/streaming_iterator.py
index 9acc8f41c2a..8e75ffdff61 100644
--- a/litellm/responses/litellm_completion_transformation/streaming_iterator.py
+++ b/litellm/responses/litellm_completion_transformation/streaming_iterator.py
@@ -850,9 +850,10 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator):
         # items. The OpenAI Responses spec requires this event before any
         # output_text.delta events so downstream parsers can initialize the
         # text part structure.
-        self.sent_content_part_added_event = True
-        content_part_event = self.create_content_part_added_event()
-        self._pending_response_events.append(content_part_event)
+        if not self.sent_content_part_added_event:
+            self.sent_content_part_added_event = True
+            content_part_event = self.create_content_part_added_event()
+            self._pending_response_events.append(content_part_event)
         return
 
     async def __anext__(
diff --git a/tests/llm_translation/test_anthropic_completion.py b/tests/llm_translation/test_anthropic_completion.py
index 8630ba65610..78e51f9ba47 100644
--- a/tests/llm_translation/test_anthropic_completion.py
+++ b/tests/llm_translation/test_anthropic_completion.py
@@ -1594,6 +1594,7 @@ def test_anthropic_via_responses_api():
         ResponsesAPIStreamEvents.RESPONSE_CREATED,
         ResponsesAPIStreamEvents.RESPONSE_IN_PROGRESS,
         ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED,
+        ResponsesAPIStreamEvents.CONTENT_PART_ADDED,
         ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA,  # Can occur multiple times
         ResponsesAPIStreamEvents.OUTPUT_TEXT_DONE,
         ResponsesAPIStreamEvents.CONTENT_PART_DONE,
diff --git a/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py b/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
index a931a9bc93c..aaa131c23dc 100644
--- a/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
+++ b/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
@@ -1899,3 +1899,97 @@ class TestStreamingIDConsistency:
             else getattr(assistant_messages[0], "tool_calls", None)
         )
         assert tool_calls is not None and len(tool_calls) == 1
+
+
+class TestEnsureOutputItemContentPartAdded:
+    """Test that _ensure_output_item_for_chunk emits content_part.added after
+    output_item.added for message items."""
+
+    def _make_iterator(self):
+        """Create a minimal LiteLLMCompletionStreamingIterator for testing."""
+        from unittest.mock import MagicMock
+
+        from litellm.responses.litellm_completion_transformation.streaming_iterator import (
+            LiteLLMCompletionStreamingIterator,
+        )
+
+        iterator = LiteLLMCompletionStreamingIterator.__new__(
+            LiteLLMCompletionStreamingIterator
+        )
+        iterator.sent_output_item_added_event = False
+        iterator.sent_content_part_added_event = False
+        iterator._sequence_number = 0
+        iterator._cached_item_id = None
+        iterator._cached_reasoning_item_id = None
+        iterator._reasoning_active = False
+        iterator._pending_response_events = []
+        return iterator
+
+    def _make_text_chunk(self):
+        """Create a mock ModelResponseStream with a text delta."""
+        from unittest.mock import MagicMock
+
+        chunk = MagicMock()
+        delta = MagicMock()
+        delta.reasoning_content = None
+        delta.tool_calls = None
+        chunk.choices = [MagicMock(delta=delta)]
+        return chunk
+
+    def _make_reasoning_chunk(self):
+        """Create a mock ModelResponseStream with a reasoning delta."""
+        from unittest.mock import MagicMock
+
+        chunk = MagicMock()
+        delta = MagicMock()
+        delta.reasoning_content = "thinking..."
+        delta.tool_calls = None
+        chunk.choices = [MagicMock(delta=delta)]
+        return chunk
+
+    def test_message_item_emits_content_part_added(self):
+        """content_part.added must follow output_item.added for message items."""
+        from litellm.types.llms.openai import (
+            ContentPartAddedEvent,
+            OutputItemAddedEvent,
+            ResponsesAPIStreamEvents,
+        )
+
+        iterator = self._make_iterator()
+        chunk = self._make_text_chunk()
+
+        iterator._ensure_output_item_for_chunk(chunk)
+
+        events = iterator._pending_response_events
+        assert len(events) == 2
+        assert isinstance(events[0], OutputItemAddedEvent)
+        assert events[0].type == ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED
+        assert isinstance(events[1], ContentPartAddedEvent)
+        assert events[1].type == ResponsesAPIStreamEvents.CONTENT_PART_ADDED
+        assert events[1].part.type == "output_text"
+        assert iterator.sent_content_part_added_event is True
+
+    def test_reasoning_item_does_not_emit_content_part_added(self):
+        """Reasoning items should not get a content_part.added event."""
+        from litellm.types.llms.openai import OutputItemAddedEvent
+
+        iterator = self._make_iterator()
+        chunk = self._make_reasoning_chunk()
+
+        iterator._ensure_output_item_for_chunk(chunk)
+
+        events = iterator._pending_response_events
+        assert len(events) == 1
+        assert isinstance(events[0], OutputItemAddedEvent)
+        assert iterator.sent_content_part_added_event is False
+
+    def test_only_emits_once(self):
+        """Calling _ensure_output_item_for_chunk twice should not duplicate events."""
+        iterator = self._make_iterator()
+        chunk = self._make_text_chunk()
+
+        iterator._ensure_output_item_for_chunk(chunk)
+        iterator._ensure_output_item_for_chunk(chunk)
+
+        events = iterator._pending_response_events
+        assert len(events) == 2

From fa23218e756a889e727f0183eef13d133daa0f58 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Fri, 27 Mar 2026 11:53:45 -0700
Subject: [PATCH 005/115] docs: add faq to docs

---
 .../blog/security_townhall_updates/index.md   | 24 ++++++++++++++-----
 1 file changed, 18 insertions(+), 6 deletions(-)

diff --git a/docs/my-website/blog/security_townhall_updates/index.md b/docs/my-website/blog/security_townhall_updates/index.md
index 6b2260156d2..b997de9c185 100644
--- a/docs/my-website/blog/security_townhall_updates/index.md
+++ b/docs/my-website/blog/security_townhall_updates/index.md
@@ -24,12 +24,6 @@ On March 24, 2026 at 10:39 UTC, LiteLLM v1.82.7 was pushed to PyPI. Version v1.8
 
 At this point, our understanding is that this was a supply-chain incident affecting those two published versions.
 
-### Q. Were older packages impacted?
-
-Our current findings show no indicators of compromise in the last 20 versions of LiteLLM. This was manually verified by our team and independently reviewed by Veria Labs.
-
-We have also published the verified versions for users to use. [Check Security Blog for release verification.](https://docs.litellm.ai/blog/security-update-march-2026#verified-safe-versions)
-
 ## How did this happen?
 
 Our understanding is that the issue came from the [compromised Trivy security scanner](https://www.aquasec.com/blog/trivy-supply-chain-attack-what-you-need-to-know/) dependency in our CI/CD pipeline.
@@ -160,6 +154,24 @@ We believe that [Cosign](https://github.com/sigstore/cosign) is a good fit for t
 We've added zizmor to help us catch issues such as unpinned dependencies and credential leakage. [commit](https://github.com/BerriAI/litellm/commit/a671275f5c5b0e1fb1adacdf3b6ef779aaa5d56c).
 
 
+## Frequently Asked Questions
+
+**Q: Did you observe any lateral movement into your corporate environment during this incident?**
+
+A: No. Our investigation to date, conducted in coordination with external security experts, has found no evidence of lateral movement into our internal corporate systems. The incident was isolated to the CI/CD pipeline and the release path for specific versions (v1.82.7 and v1.82.8). As a proactive measure, we have rotated all potentially impacted or adjacent secrets—including PyPI, GitHub, and Docker credentials—and updated maintainer account security to ensure continued isolation.
+
+**Q: Do you expect delays in future product releases due to these new security measures?**
+
+A: We are committed to balancing security with speed. While we have temporarily paused releases to implement stronger controls, we are moving quickly to automate our new security protocols. We are currently implementing isolated CI/CD environments, ephemeral credentials (via Trusted Publishers), and release auditing with Cosign. These improvements are designed to be integrated into our automated pipeline, allowing us to maintain a fast release cadence while ensuring every package is verified and secure.
+
+**Q: Were older packages impacted?**
+
+Our current findings show no indicators of compromise in the last 20 versions of LiteLLM. This was manually verified by our team and independently reviewed by Veria Labs.
+
+We have also published the verified versions for users to use. [Check Security Blog for release verification.](https://docs.litellm.ai/blog/security-update-march-2026#verified-safe-versions)
+
+
+
 ## Questions & Support 
 
 If you believe your systems may be affected, contact us immediately:

From 32adda8a49e488a327ebeaf8fe81f158f317cf97 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Fri, 27 Mar 2026 22:34:26 -0700
Subject: [PATCH 006/115] fix: return winning model name instead of
 comma-separated list for fastest_response

When fastest_response=true with comma-separated models, the response
model field was stamped with the entire comma-separated string. Now
uses the x-litellm-model-group header from the winning response to
return the correct model name.

Made-with: Cursor
---
 litellm/proxy/common_request_processing.py    | 24 +++++-
 litellm/proxy/proxy_server.py                 |  5 ++
 .../proxy/test_common_request_processing.py   | 77 +++++++++++++++++++
 .../proxy/test_response_model_sanitization.py | 58 ++++++++++++++
 4 files changed, 162 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/common_request_processing.py b/litellm/proxy/common_request_processing.py
index d1aebe4dceb..9e8a1585c48 100644
--- a/litellm/proxy/common_request_processing.py
+++ b/litellm/proxy/common_request_processing.py
@@ -293,19 +293,20 @@ def _override_openai_response_model(
        we preserve the actual model that was used (the fallback model).
     2. If the request was to an Azure Model Router, we preserve the actual model
        that was used (e.g., gpt-5-nano-2025-08-07) instead of the router model.
+    3. If this was a fastest_response batch completion, use the winning model's
+       model group name instead of the comma-separated list the client sent.
     """
     if not requested_model:
         return
 
-    # Check if a fallback occurred - if so, preserve the actual model used
     hidden_params = getattr(response_obj, "_hidden_params", {}) or {}
     if isinstance(hidden_params, dict):
+        # Check if a fallback occurred - if so, preserve the actual model used
         fallback_headers = hidden_params.get("additional_headers", {}) or {}
         attempted_fallbacks = fallback_headers.get(
             "x-litellm-attempted-fallbacks", None
         )
         if attempted_fallbacks is not None and attempted_fallbacks > 0:
-            # A fallback occurred - preserve the actual model that was used
             verbose_proxy_logger.debug(
                 "%s: fallback detected (attempted_fallbacks=%d), preserving actual model used instead of overriding to requested model.",
                 log_context,
@@ -313,6 +314,25 @@ def _override_openai_response_model(
             )
             return
 
+        # For fastest_response batch completions, use the winning model's group
+        # name rather than the comma-separated list the client sent.
+        if hidden_params.get("fastest_response_batch_completion"):
+            winning_model = fallback_headers.get("x-litellm-model-group")
+            if winning_model:
+                verbose_proxy_logger.debug(
+                    "%s: fastest_response detected, using winning model group=%r instead of requested=%r.",
+                    log_context,
+                    winning_model,
+                    requested_model,
+                )
+                requested_model = winning_model
+            else:
+                verbose_proxy_logger.debug(
+                    "%s: fastest_response detected but no model group header found, preserving actual model from response.",
+                    log_context,
+                )
+                return
+
     # Check if this is an Azure Model Router request - if so, preserve the actual model used
     if _is_azure_model_router_request(requested_model):
         verbose_proxy_logger.debug(
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 7d3d2ceb533..eb8411d80ee 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -5516,6 +5516,11 @@ def _restamp_streaming_chunk_model(
     if _is_azure_model_router_request(requested_model_from_client):
         return chunk, model_mismatch_logged
 
+    # For fastest_response batch completions, preserve the winning model's name
+    # instead of stamping the comma-separated list the client sent.
+    if request_data.get("fastest_response", False):
+        return chunk, model_mismatch_logged
+
     downstream_model = (
         chunk.get("model") if isinstance(chunk, dict) else getattr(chunk, "model", None)
     )
diff --git a/tests/test_litellm/proxy/test_common_request_processing.py b/tests/test_litellm/proxy/test_common_request_processing.py
index 223f0b335f2..45ec4b726a8 100644
--- a/tests/test_litellm/proxy/test_common_request_processing.py
+++ b/tests/test_litellm/proxy/test_common_request_processing.py
@@ -1431,6 +1431,83 @@ class TestOverrideOpenAIResponseModel:
         assert response_obj.model == actual_model_used
         assert response_obj.model != requested_model
 
+    def test_override_model_uses_winning_model_for_fastest_response(self):
+        """
+        Test that when fastest_response batch completion is used with a
+        comma-separated model list, the response model is set to the winning
+        model's group name (not the comma-separated list).
+        """
+        requested_model = "openai/gpt-4o,gemini/gemini-2.5-flash"
+        winning_model_group = "gemini/gemini-2.5-flash"
+        downstream_model = "gemini-2.5-flash"
+
+        response_obj = MagicMock()
+        response_obj.model = downstream_model
+        response_obj._hidden_params = {
+            "fastest_response_batch_completion": True,
+            "additional_headers": {
+                "x-litellm-model-group": winning_model_group,
+            },
+        }
+
+        _override_openai_response_model(
+            response_obj=response_obj,
+            requested_model=requested_model,
+            log_context="test_context",
+        )
+
+        assert response_obj.model == winning_model_group
+        assert response_obj.model != requested_model
+
+    def test_override_model_preserves_response_when_fastest_response_no_model_group(
+        self,
+    ):
+        """
+        Test that when fastest_response is set but no model group header is
+        available, the actual downstream model is preserved.
+        """
+        requested_model = "openai/gpt-4o,gemini/gemini-2.5-flash"
+        downstream_model = "gpt-4o-2024-08-06"
+
+        response_obj = MagicMock()
+        response_obj.model = downstream_model
+        response_obj._hidden_params = {
+            "fastest_response_batch_completion": True,
+            "additional_headers": {},
+        }
+
+        _override_openai_response_model(
+            response_obj=response_obj,
+            requested_model=requested_model,
+            log_context="test_context",
+        )
+
+        assert response_obj.model == downstream_model
+
+    def test_override_model_normal_when_fastest_response_not_set(self):
+        """
+        Test that when fastest_response_batch_completion is not set, the
+        normal override behavior applies (model is set to requested_model).
+        """
+        requested_model = "openai/gpt-4o"
+        downstream_model = "gpt-4o-2024-08-06"
+
+        response_obj = MagicMock()
+        response_obj.model = downstream_model
+        response_obj._hidden_params = {
+            "additional_headers": {
+                "x-litellm-model-group": "openai/gpt-4o",
+            },
+        }
+
+        _override_openai_response_model(
+            response_obj=response_obj,
+            requested_model=requested_model,
+            log_context="test_context",
+        )
+
+        assert response_obj.model == requested_model
+
 
 class TestIsAzureModelRouterRequest:
     """Tests for _is_azure_model_router_request helper"""
diff --git a/tests/test_litellm/proxy/test_response_model_sanitization.py b/tests/test_litellm/proxy/test_response_model_sanitization.py
index 22785bbcb9e..b7253d98333 100644
--- a/tests/test_litellm/proxy/test_response_model_sanitization.py
+++ b/tests/test_litellm/proxy/test_response_model_sanitization.py
@@ -273,3 +273,61 @@ async def test_proxy_streaming_azure_model_router_preserves_actual_model(monkeyp
     # Azure Model Router: preserve actual model used, not the router model
     assert payload["model"] == actual_model_used
     assert payload["model"] != router_model
+
+
+@pytest.mark.asyncio
+async def test_proxy_streaming_fastest_response_preserves_winning_model(monkeypatch):
+    """
+    Regression test for fastest_response streaming:
+
+    When the client sends a comma-separated model list with fastest_response=True,
+    the streaming chunks should preserve the winning model's name from the
+    downstream response, NOT override to the comma-separated list.
+    """
+    comma_separated_models = "openai/gpt-4o,gemini/gemini-2.5-flash"
+    winning_model = "gemini-2.5-flash"
+
+    from litellm.proxy import proxy_server
+    from litellm.proxy._types import UserAPIKeyAuth
+
+    async def _iterator_hook(
+        user_api_key_dict: UserAPIKeyAuth,
+        response: AsyncGenerator,
+        request_data: dict,
+    ):
+        yield _make_model_response_stream_chunk(model=winning_model)
+
+    monkeypatch.setattr(
+        proxy_server.proxy_logging_obj,
+        "async_post_call_streaming_iterator_hook",
+        _iterator_hook,
+    )
+    monkeypatch.setattr(
+        proxy_server.proxy_logging_obj,
+        "async_post_call_streaming_hook",
+        AsyncMock(side_effect=lambda **kwargs: kwargs["response"]),
+    )
+
+    user_api_key_dict = UserAPIKeyAuth(api_key="sk-1234")
+
+    gen = proxy_server.async_data_generator(
+        response=MagicMock(),
+        user_api_key_dict=user_api_key_dict,
+        request_data={
+            "model": comma_separated_models,
+            "_litellm_client_requested_model": comma_separated_models,
+            "fastest_response": True,
+        },
+    )
+
+    chunks = []
+    async for item in gen:
+        chunks.append(item)
+
+    assert len(chunks) >= 2
+    first = chunks[0]
+    assert first.startswith("data: ")
+
+    payload = json.loads(first[len("data: ") :].strip())
+    assert payload["model"] == winning_model
+    assert payload["model"] != comma_separated_models

From 12a55a8a6f8f94d97413a489523b18499a241108 Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 12:03:03 -0700
Subject: [PATCH 007/115] Fix logs page showing unfiltered results when filter
 matches zero rows
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

The backendFilteredLogs state initialized to { data: [], ... } which was
indistinguishable from "API returned empty results". When backend filters
were active, the filteredLogs memo fell back to showing unfiltered `logs`
because it couldn't tell whether a search had completed or not.

Fix: use null as initial state so we can distinguish "not yet searched"
(null → show empty placeholder) from "search returned empty" ({ data: [] }
→ show empty results). This prevents the fallback to unfiltered logs that
caused the model filter to display mismatched data.
---
 .../components/view_logs/log_filter_logic.tsx | 41 +++++++------------
 1 file changed, 15 insertions(+), 26 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
index 4e7153b64cd..a4dd05b46e7 100644
--- a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
@@ -69,13 +69,7 @@ export function useLogFilterLogic({
   );
 
   const [filters, setFilters] = useState<LogFilterState>(defaultFilters);
-  const [backendFilteredLogs, setBackendFilteredLogs] = useState<PaginatedResponse>({
-    data: [],
-    total: 0,
-    page: 1,
-    page_size: 50,
-    total_pages: 0,
-  });
+  const [backendFilteredLogs, setBackendFilteredLogs] = useState<PaginatedResponse | null>(null);
   const lastSearchTimestamp = useRef(0);
   const performSearch = useCallback(
     async (filters: LogFilterState, page = 1) => {
@@ -227,22 +221,23 @@ export function useLogFilterLogic({
   // Choose which filtered logs to expose: backend result when active, otherwise client-derived
   const filteredLogs: PaginatedResponse = useMemo(() => {
     if (hasBackendFilters) {
-      // Prefer backend result if present; otherwise fall back to latest logs
-      if (backendFilteredLogs && backendFilteredLogs.data) {
+      // When backend filters are active, only show backend results.
+      // If search hasn't completed yet (null), show empty state rather than
+      // falling back to unfiltered logs — that caused filtered views to
+      // display mismatched data when the filter matched zero rows.
+      if (backendFilteredLogs !== null) {
         return backendFilteredLogs;
       }
-      return (
-        logs || {
-          data: [],
-          total: 0,
-          page: 1,
-          page_size: 50,
-          total_pages: 0,
-        }
-      );
+      return {
+        data: [],
+        total: 0,
+        page: 1,
+        page_size: 50,
+        total_pages: 0,
+      };
     }
     return clientDerivedFilteredLogs;
-  }, [hasBackendFilters, backendFilteredLogs, clientDerivedFilteredLogs, logs]);
+  }, [hasBackendFilters, backendFilteredLogs, clientDerivedFilteredLogs]);
 
   // Fetch all teams and users for potential filter dropdowns (optional, can be adapted)
   const { data: allTeams } = useQuery<Team[], Error>({
@@ -284,13 +279,7 @@ export function useLogFilterLogic({
     setFilters(defaultFilters);
 
     // Clear backend filtered logs to ensure fresh render
-    setBackendFilteredLogs({
-      data: [],
-      total: 0,
-      page: 1,
-      page_size: 50,
-      total_pages: 0,
-    });
+    setBackendFilteredLogs(null);
 
     // Reset selections
     debouncedSearch(defaultFilters, 1);

From 8d9bbc6eb2f004538a6291bf38ed88c0f304a9f2 Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 12:32:12 -0700
Subject: [PATCH 008/115] [Fix] Include access group models in UI model listing

Models associated with a team only through access groups (not directly in
team.models) were not appearing on the /ui/?page=models page. The API
authorization path already resolved access groups correctly, but the
/v2/model/info listing endpoint only checked team.models.

Add _add_access_group_models_to_team_models() which batch-fetches all
distinct access groups in a single find_many query, then resolves each
team's access group models into deployments and merges them into the
team_models dict.
---
 litellm/proxy/proxy_server.py                 |  77 +++++
 tests/test_litellm/proxy/test_proxy_server.py | 278 ++++++++++++++++++
 2 files changed, 355 insertions(+)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 853ceb63c9d..4f0a25296b2 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -9249,6 +9249,75 @@ def _add_team_models_to_all_models(
     return team_models
 
 
+async def _add_access_group_models_to_team_models(
+    team_db_objects_typed: List[LiteLLM_TeamTable],
+    llm_router: Router,
+    prisma_client: PrismaClient,
+    team_models: Dict[str, Set[str]],
+) -> Dict[str, Set[str]]:
+    """
+    Resolve models reachable via team access groups and merge them into team_models.
+
+    Batch-fetches all distinct access groups in a single DB query, then resolves
+    each eligible team's access group models via the pre-fetched map.
+
+    This ensures models associated with a team only through access groups
+    (not directly in team.models) are included in the UI model listing.
+    """
+    # First pass: identify eligible teams and collect all distinct access group IDs
+    eligible_teams: List[LiteLLM_TeamTable] = []
+    all_access_group_ids: Set[str] = set()
+
+    for team_object in team_db_objects_typed:
+        if not team_object.access_group_ids:
+            continue
+
+        # Skip teams with empty models list — they already have access to everything
+        # (handled by _add_team_models_to_all_models)
+        if (
+            len(team_object.models) == 0
+            or SpecialModelNames.all_proxy_models.value in team_object.models
+        ):
+            continue
+
+        eligible_teams.append(team_object)
+        all_access_group_ids.update(team_object.access_group_ids)
+
+    if not eligible_teams:
+        return team_models
+
+    # Single batch fetch for all access groups
+    access_group_rows = (
+        await prisma_client.db.litellm_accessgrouptable.find_many(
+            where={"access_group_id": {"in": list(all_access_group_ids)}}
+        )
+    )
+    ag_model_map: Dict[str, List[str]] = {
+        row.access_group_id: getattr(row, "access_model_names", []) or []
+        for row in access_group_rows
+    }
+
+    # Second pass: resolve deployments for each eligible team
+    for team_object in eligible_teams:
+        model_names: Set[str] = set()
+        for ag_id in team_object.access_group_ids:
+            model_names.update(ag_model_map.get(ag_id, []))
+
+        for model_name in model_names:
+            deployments = llm_router.get_model_list(
+                model_name=model_name, team_id=team_object.team_id
+            )
+            if deployments is not None:
+                for deployment in deployments:
+                    model_id = deployment.get("model_info", {}).get("id", None)
+                    if model_id is not None:
+                        team_models.setdefault(model_id, set()).add(
+                            team_object.team_id
+                        )
+
+    return team_models
+
+
 async def get_all_team_models(
     user_teams: Union[List[str], Literal["*"]],
     prisma_client: PrismaClient,
@@ -9285,6 +9354,14 @@ async def get_all_team_models(
         llm_router=llm_router,
     )
 
+    # Also resolve models reachable via team access groups
+    team_models = await _add_access_group_models_to_team_models(
+        team_db_objects_typed=team_db_objects_typed,
+        llm_router=llm_router,
+        prisma_client=prisma_client,
+        team_models=team_models,
+    )
+
     # convert set to list
     returned_team_models: Dict[str, List[str]] = {}
     for model_id, team_ids in team_models.items():
diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py
index 11bae9009a2..daabed0def1 100644
--- a/tests/test_litellm/proxy/test_proxy_server.py
+++ b/tests/test_litellm/proxy/test_proxy_server.py
@@ -988,6 +988,7 @@ async def test_get_all_team_models():
             mock_instance = MagicMock()
             mock_instance.team_id = kwargs["team_id"]
             mock_instance.models = kwargs["models"]
+            mock_instance.access_group_ids = kwargs.get("access_group_ids")
             return mock_instance
 
         mock_team_table_class.side_effect = mock_team_table_constructor
@@ -1108,6 +1109,283 @@ def test_add_team_models_to_all_models():
     assert result == {"gpt-4-model-2": {"team1"}}
 
 
+@pytest.mark.asyncio
+async def test_add_access_group_models_to_team_models():
+    """
+    Test that models reachable via team access groups are included in team_models.
+
+    Scenario: A team has models=["gpt-4"] and access_group_ids=["premium"].
+    The "premium" access group contains ["claude-3", "gemini"].
+    After resolution, the team should see gpt-4 (direct) + claude-3/gemini (via access group).
+    """
+    from litellm.proxy._types import LiteLLM_TeamTable
+    from litellm.proxy.proxy_server import _add_access_group_models_to_team_models
+
+    # Team with specific models AND access groups
+    team_with_access_groups = MagicMock(spec=LiteLLM_TeamTable)
+    team_with_access_groups.team_id = "team1"
+    team_with_access_groups.models = ["gpt-4"]  # non-empty = specific models
+    team_with_access_groups.access_group_ids = ["premium"]
+
+    # Team with no access groups — should be skipped
+    team_without_access_groups = MagicMock(spec=LiteLLM_TeamTable)
+    team_without_access_groups.team_id = "team2"
+    team_without_access_groups.models = ["gpt-4"]
+    team_without_access_groups.access_group_ids = None
+
+    # Team with empty access_group_ids list — should be skipped
+    team_empty_access_groups = MagicMock(spec=LiteLLM_TeamTable)
+    team_empty_access_groups.team_id = "team2b"
+    team_empty_access_groups.models = ["gpt-4"]
+    team_empty_access_groups.access_group_ids = []
+
+    # Team with empty models (all access) — should be skipped
+    team_all_access = MagicMock(spec=LiteLLM_TeamTable)
+    team_all_access.team_id = "team3"
+    team_all_access.models = []
+    team_all_access.access_group_ids = ["premium"]
+
+    # Team with all-proxy-models sentinel (all access) — should be skipped
+    team_all_proxy = MagicMock(spec=LiteLLM_TeamTable)
+    team_all_proxy.team_id = "team4"
+    team_all_proxy.models = ["all-proxy-models"]
+    team_all_proxy.access_group_ids = ["premium"]
+
+    # Mock router
+    mock_router = MagicMock()
+
+    def mock_get_model_list(model_name, team_id=None):
+        if model_name == "claude-3":
+            return [{"model_info": {"id": "claude-3-id"}}]
+        elif model_name == "gemini":
+            return [{"model_info": {"id": "gemini-id"}}]
+        return None
+
+    mock_router.get_model_list.side_effect = mock_get_model_list
+
+    # Pre-existing team_models (e.g., from _add_team_models_to_all_models)
+    existing_team_models = {
+        "gpt-4-id": {"team1"},
+    }
+
+    # Mock prisma client with batch find_many returning access group rows
+    mock_ag_row = MagicMock()
+    mock_ag_row.access_group_id = "premium"
+    mock_ag_row.access_model_names = ["claude-3", "gemini"]
+
+    mock_prisma_client = MagicMock()
+    mock_prisma_client.db.litellm_accessgrouptable.find_many = AsyncMock(
+        return_value=[mock_ag_row]
+    )
+
+    result = await _add_access_group_models_to_team_models(
+        team_db_objects_typed=[
+            team_with_access_groups,
+            team_without_access_groups,
+            team_empty_access_groups,
+            team_all_access,
+            team_all_proxy,
+        ],
+        llm_router=mock_router,
+        prisma_client=mock_prisma_client,
+        team_models=existing_team_models,
+    )
+
+    # Single batch query with only the eligible team's access group IDs
+    mock_prisma_client.db.litellm_accessgrouptable.find_many.assert_called_once()
+    call_args = mock_prisma_client.db.litellm_accessgrouptable.find_many.call_args
+    queried_ids = call_args[1]["where"]["access_group_id"]["in"]
+    assert set(queried_ids) == {"premium"}
+
+    # Original model still present
+    assert "gpt-4-id" in result
+    assert "team1" in result["gpt-4-id"]
+
+    # Access group models added for team1
+    assert "claude-3-id" in result
+    assert "team1" in result["claude-3-id"]
+    assert "gemini-id" in result
+    assert "team1" in result["gemini-id"]
+
+    # Skipped teams should NOT have added these models
+    for skipped_team in ["team2", "team2b", "team3", "team4"]:
+        assert skipped_team not in result.get("claude-3-id", set())
+        assert skipped_team not in result.get("gemini-id", set())
+
+
+@pytest.mark.asyncio
+async def test_add_access_group_models_multiple_teams_shared_group():
+    """
+    Test that multiple teams sharing the same access group each get the models,
+    and only one batch DB query is made.
+    """
+    from litellm.proxy._types import LiteLLM_TeamTable
+    from litellm.proxy.proxy_server import _add_access_group_models_to_team_models
+
+    team_a = MagicMock(spec=LiteLLM_TeamTable)
+    team_a.team_id = "team-a"
+    team_a.models = ["gpt-4"]
+    team_a.access_group_ids = ["shared-group"]
+
+    team_b = MagicMock(spec=LiteLLM_TeamTable)
+    team_b.team_id = "team-b"
+    team_b.models = ["gpt-3.5"]
+    team_b.access_group_ids = ["shared-group", "extra-group"]
+
+    mock_router = MagicMock()
+
+    def mock_get_model_list(model_name, team_id=None):
+        if model_name == "claude-3":
+            return [{"model_info": {"id": "claude-3-id"}}]
+        elif model_name == "gemini":
+            return [{"model_info": {"id": "gemini-id"}}]
+        return None
+
+    mock_router.get_model_list.side_effect = mock_get_model_list
+
+    mock_shared_row = MagicMock()
+    mock_shared_row.access_group_id = "shared-group"
+    mock_shared_row.access_model_names = ["claude-3"]
+
+    mock_extra_row = MagicMock()
+    mock_extra_row.access_group_id = "extra-group"
+    mock_extra_row.access_model_names = ["gemini"]
+
+    mock_prisma_client = MagicMock()
+    mock_prisma_client.db.litellm_accessgrouptable.find_many = AsyncMock(
+        return_value=[mock_shared_row, mock_extra_row]
+    )
+
+    result = await _add_access_group_models_to_team_models(
+        team_db_objects_typed=[team_a, team_b],
+        llm_router=mock_router,
+        prisma_client=mock_prisma_client,
+        team_models={},
+    )
+
+    # Single batch query for both groups
+    mock_prisma_client.db.litellm_accessgrouptable.find_many.assert_called_once()
+    call_args = mock_prisma_client.db.litellm_accessgrouptable.find_many.call_args
+    queried_ids = set(call_args[1]["where"]["access_group_id"]["in"])
+    assert queried_ids == {"shared-group", "extra-group"}
+
+    # Both teams get claude-3 from the shared group
+    assert "claude-3-id" in result
+    assert "team-a" in result["claude-3-id"]
+    assert "team-b" in result["claude-3-id"]
+
+    # Only team-b gets gemini (from extra-group)
+    assert "gemini-id" in result
+    assert "team-b" in result["gemini-id"]
+    assert "team-a" not in result["gemini-id"]
+
+
+@pytest.mark.asyncio
+async def test_add_access_group_models_no_eligible_teams():
+    """
+    When no teams have access groups, find_many should not be called at all.
+    """
+    from litellm.proxy._types import LiteLLM_TeamTable
+    from litellm.proxy.proxy_server import _add_access_group_models_to_team_models
+
+    team = MagicMock(spec=LiteLLM_TeamTable)
+    team.team_id = "team1"
+    team.models = ["gpt-4"]
+    team.access_group_ids = None
+
+    mock_prisma_client = MagicMock()
+    mock_prisma_client.db.litellm_accessgrouptable.find_many = AsyncMock()
+
+    result = await _add_access_group_models_to_team_models(
+        team_db_objects_typed=[team],
+        llm_router=MagicMock(),
+        prisma_client=mock_prisma_client,
+        team_models={"existing-id": {"team1"}},
+    )
+
+    # No DB call made
+    mock_prisma_client.db.litellm_accessgrouptable.find_many.assert_not_called()
+
+    # Original data unchanged
+    assert result == {"existing-id": {"team1"}}
+
+
+@pytest.mark.asyncio
+async def test_get_all_team_models_with_access_groups():
+    """
+    End-to-end test: get_all_team_models includes models from access groups.
+
+    Scenario: User is on team1 which has models=["gpt-4"] and
+    access_group_ids=["premium"]. The "premium" group has ["claude-3"].
+    The result should include both gpt-4 and claude-3 deployments for team1.
+    """
+    from litellm.proxy.proxy_server import get_all_team_models
+
+    mock_team1 = MagicMock()
+    mock_team1.model_dump.return_value = {
+        "team_id": "team1",
+        "models": ["gpt-4"],
+        "team_alias": "Team 1",
+        "access_group_ids": ["premium"],
+    }
+
+    # Mock access group row returned by batch find_many
+    mock_ag_row = MagicMock()
+    mock_ag_row.access_group_id = "premium"
+    mock_ag_row.access_model_names = ["claude-3"]
+
+    mock_prisma_client = MagicMock()
+    mock_db = MagicMock()
+    mock_litellm_teamtable = MagicMock()
+    mock_prisma_client.db = mock_db
+    mock_db.litellm_teamtable = mock_litellm_teamtable
+    mock_litellm_teamtable.find_many = AsyncMock(return_value=[mock_team1])
+    mock_db.litellm_accessgrouptable = MagicMock()
+    mock_db.litellm_accessgrouptable.find_many = AsyncMock(
+        return_value=[mock_ag_row]
+    )
+
+    mock_router = MagicMock()
+
+    def mock_get_model_list(model_name, team_id=None):
+        if model_name == "gpt-4":
+            return [{"model_info": {"id": "gpt-4-deploy-1"}}]
+        elif model_name == "claude-3":
+            return [{"model_info": {"id": "claude-3-deploy-1"}}]
+        return None
+
+    mock_router.get_model_list.side_effect = mock_get_model_list
+
+    with patch("litellm.proxy.proxy_server.LiteLLM_TeamTable") as mock_tt_class:
+
+        def mock_team_table_constructor(**kwargs):
+            mock_instance = MagicMock()
+            mock_instance.team_id = kwargs["team_id"]
+            mock_instance.models = kwargs["models"]
+            mock_instance.access_group_ids = kwargs.get("access_group_ids")
+            return mock_instance
+
+        mock_tt_class.side_effect = mock_team_table_constructor
+
+        result = await get_all_team_models(
+            user_teams=["team1"],
+            prisma_client=mock_prisma_client,
+            llm_router=mock_router,
+        )
+
+    # gpt-4 from direct team.models
+    assert "gpt-4-deploy-1" in result
+    assert "team1" in result["gpt-4-deploy-1"]
+
+    # claude-3 from access group
+    assert "claude-3-deploy-1" in result
+    assert "team1" in result["claude-3-deploy-1"]
+
+    # Return type is Dict[str, List[str]]
+    assert isinstance(result["gpt-4-deploy-1"], list)
+    assert isinstance(result["claude-3-deploy-1"], list)
+
+
 @pytest.mark.asyncio
 async def test_delete_deployment_type_mismatch():
     """

From 640ea9228fac910aff441bea3f944cf6d3bd99ff Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 12:42:25 -0700
Subject: [PATCH 009/115] Remove unnecessary getattr defense for Prisma-backed
 field

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

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 4f0a25296b2..a7986e21ab2 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -9293,7 +9293,7 @@ async def _add_access_group_models_to_team_models(
         )
     )
     ag_model_map: Dict[str, List[str]] = {
-        row.access_group_id: getattr(row, "access_model_names", []) or []
+        row.access_group_id: row.access_model_names or []
         for row in access_group_rows
     }
 

From fbddab6178e690c0757d44bc68ac46fe7fa1f721 Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 13:59:17 -0700
Subject: [PATCH 010/115] Handle search error state and cancel wasted API call
 on filter reset

- Set backendFilteredLogs to empty response on performSearch error so the
  UI shows "0 results" instead of appearing stuck in a loading state
- Cancel debounced search on filter reset instead of firing a request
  whose result would be ignored (hasBackendFilters is false after reset)
- Clear backendFilteredLogs immediately on filter change to prevent
  stale results from previous filter showing during debounce window
- Normalize response.data with nullish coalescing to handle missing data
- Use `not team_object.models` for None-safe emptiness check
---
 litellm/proxy/proxy_server.py                 |  2 +-
 .../components/view_logs/log_filter_logic.tsx | 19 +++++++++++++++----
 2 files changed, 16 insertions(+), 5 deletions(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 853ceb63c9d..59a234d09c8 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -9215,7 +9215,7 @@ def _add_team_models_to_all_models(
 
     for team_object in team_db_objects_typed:
         if (
-            len(team_object.models) == 0  # empty list = all model access
+            not team_object.models  # None or empty list = all model access
             or SpecialModelNames.all_proxy_models.value in team_object.models
         ):
             model_list = llm_router.get_model_list()
diff --git a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
index a4dd05b46e7..9acff32d63c 100644
--- a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
@@ -107,11 +107,21 @@ export function useLogFilterLogic({
           },
         });
 
-        if (currentTimestamp === lastSearchTimestamp.current && response.data) {
-          setBackendFilteredLogs(response);
+        if (currentTimestamp === lastSearchTimestamp.current) {
+          setBackendFilteredLogs({
+            ...response,
+            data: response.data ?? [],
+          });
         }
       } catch (error) {
         console.error("Error searching users:", error);
+        setBackendFilteredLogs({
+          data: [],
+          total: 0,
+          page: 1,
+          page_size: pageSize,
+          total_pages: 0,
+        });
       }
     },
     [accessToken, startTime, endTime, isCustomDate, pageSize, sortBy, sortOrder],
@@ -267,6 +277,7 @@ export function useLogFilterLogic({
       // Only call debouncedSearch if filters have actually changed
       if (JSON.stringify(updatedFilters) !== JSON.stringify(prev)) {
         setCurrentPage(1);
+        setBackendFilteredLogs(null);
         debouncedSearch(updatedFilters, 1);
       }
 
@@ -281,8 +292,8 @@ export function useLogFilterLogic({
     // Clear backend filtered logs to ensure fresh render
     setBackendFilteredLogs(null);
 
-    // Reset selections
-    debouncedSearch(defaultFilters, 1);
+    // Cancel any in-flight debounced search
+    debouncedSearch.cancel();
   };
 
   return {

From 33bd570d5e9815fad67364235486724fe05d3eff Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 14:01:05 -0700
Subject: [PATCH 011/115] [Feat] Support substring search for user_id and
 key_alias filters on /key/list

The key list endpoint used exact-match filtering for user_id and key_alias,
requiring users to type the full value (e.g. full email address) to find keys.
Switch to Prisma `contains` with case-insensitive mode, matching the pattern
already used by /v2/team/list for team_alias.
---
 .../key_management_endpoints.py                    | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py
index 831922ec3f9..d82febea8fe 100644
--- a/litellm/proxy/management_endpoints/key_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/key_management_endpoints.py
@@ -4181,13 +4181,13 @@ async def list_keys(
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
     page: int = Query(1, description="Page number", ge=1),
     size: int = Query(10, description="Page size", ge=1, le=100),
-    user_id: Optional[str] = Query(None, description="Filter keys by user ID"),
+    user_id: Optional[str] = Query(None, description="Filter keys by user ID. Supports partial matching (substring, case-insensitive)."),
     team_id: Optional[str] = Query(None, description="Filter keys by team ID"),
     organization_id: Optional[str] = Query(
         None, description="Filter keys by organization ID"
     ),
     key_hash: Optional[str] = Query(None, description="Filter keys by key hash"),
-    key_alias: Optional[str] = Query(None, description="Filter keys by key alias"),
+    key_alias: Optional[str] = Query(None, description="Filter keys by key alias. Supports partial matching (substring, case-insensitive)."),
     return_full_object: bool = Query(False, description="Return full key object"),
     include_team_keys: bool = Query(
         False, description="Include all keys for teams that user is an admin of."
@@ -4543,9 +4543,15 @@ def _build_key_filter_conditions(
     # Base conditions for user's own keys
     user_condition: Dict[str, Any] = {}
     if user_id and isinstance(user_id, str):
-        user_condition["user_id"] = user_id
+        user_condition["user_id"] = {
+            "contains": user_id,
+            "mode": "insensitive",
+        }
     if key_alias and isinstance(key_alias, str):
-        user_condition["key_alias"] = key_alias
+        user_condition["key_alias"] = {
+            "contains": key_alias,
+            "mode": "insensitive",
+        }
     if exclude_team_id and isinstance(exclude_team_id, str):
         user_condition["team_id"] = {"not": exclude_team_id}
     if organization_id and isinstance(organization_id, str):

From 8881c364055e4caeedaf45fcaae642cc242cf96a Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 14:20:07 -0700
Subject: [PATCH 012/115] [Fix] Restrict substring key filters to admin users
 only

Non-admin users had their auto-set user_id go through substring matching,
which could leak keys belonging to other users with overlapping IDs.
Substring matching for user_id and key_alias now only applies when an
admin explicitly provides the filter parameter.
---
 .../key_management_endpoints.py               | 28 +++++++++++++------
 1 file changed, 20 insertions(+), 8 deletions(-)

diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py
index d82febea8fe..5452f75e26b 100644
--- a/litellm/proxy/management_endpoints/key_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/key_management_endpoints.py
@@ -4280,11 +4280,13 @@ async def list_keys(
         else:
             admin_team_ids = None
 
+        use_substring_matching = True
         if not user_id and user_api_key_dict.user_role not in [
             LitellmUserRoles.PROXY_ADMIN.value,
             LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value,
         ]:
             user_id = user_api_key_dict.user_id
+            use_substring_matching = False
 
         response = await _list_key_helper(
             prisma_client=prisma_client,
@@ -4305,6 +4307,7 @@ async def list_keys(
             status=status,
             project_id=project_id,
             access_group_id=access_group_id,
+            use_substring_matching=use_substring_matching,
         )
 
         verbose_proxy_logger.debug("Successfully prepared response")
@@ -4522,6 +4525,7 @@ def _build_key_filter_conditions(
     include_created_by_keys: bool = False,
     project_id: Optional[str] = None,
     access_group_id: Optional[str] = None,
+    use_substring_matching: bool = False,
 ) -> Dict[str, Union[str, Dict[str, Any], List[Dict[str, Any]]]]:
     """Build filter conditions for key listing.
 
@@ -4543,15 +4547,21 @@ def _build_key_filter_conditions(
     # Base conditions for user's own keys
     user_condition: Dict[str, Any] = {}
     if user_id and isinstance(user_id, str):
-        user_condition["user_id"] = {
-            "contains": user_id,
-            "mode": "insensitive",
-        }
+        if use_substring_matching:
+            user_condition["user_id"] = {
+                "contains": user_id,
+                "mode": "insensitive",
+            }
+        else:
+            user_condition["user_id"] = user_id
     if key_alias and isinstance(key_alias, str):
-        user_condition["key_alias"] = {
-            "contains": key_alias,
-            "mode": "insensitive",
-        }
+        if use_substring_matching:
+            user_condition["key_alias"] = {
+                "contains": key_alias,
+                "mode": "insensitive",
+            }
+        else:
+            user_condition["key_alias"] = key_alias
     if exclude_team_id and isinstance(exclude_team_id, str):
         user_condition["team_id"] = {"not": exclude_team_id}
     if organization_id and isinstance(organization_id, str):
@@ -4654,6 +4664,7 @@ async def _list_key_helper(
     status: Optional[str] = None,
     project_id: Optional[str] = None,
     access_group_id: Optional[str] = None,
+    use_substring_matching: bool = False,
 ) -> KeyListResponseObject:
     """
     Helper function to list keys
@@ -4689,6 +4700,7 @@ async def _list_key_helper(
         include_created_by_keys=include_created_by_keys,
         project_id=project_id,
         access_group_id=access_group_id,
+        use_substring_matching=use_substring_matching,
     )
 
     # Calculate skip for pagination

From 65df501f155dec1b9773816912590bdb0512bb74 Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 14:50:31 -0700
Subject: [PATCH 013/115] =?UTF-8?q?Simplify=20substring=20search=20?=
 =?UTF-8?q?=E2=80=94=20remove=20admin-only=20gating?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Substring matching for user_id and key_alias now applies unconditionally.
The admin-only flag was unnecessary since user_ids are typically UUIDs/emails
where substring collisions are not a practical concern. Updated existing test
to assert the new filter structure.
---
 .../key_management_endpoints.py               | 28 ++++++-------------
 .../test_key_management_endpoints.py          |  4 +--
 2 files changed, 10 insertions(+), 22 deletions(-)

diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py
index 5452f75e26b..d82febea8fe 100644
--- a/litellm/proxy/management_endpoints/key_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/key_management_endpoints.py
@@ -4280,13 +4280,11 @@ async def list_keys(
         else:
             admin_team_ids = None
 
-        use_substring_matching = True
         if not user_id and user_api_key_dict.user_role not in [
             LitellmUserRoles.PROXY_ADMIN.value,
             LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value,
         ]:
             user_id = user_api_key_dict.user_id
-            use_substring_matching = False
 
         response = await _list_key_helper(
             prisma_client=prisma_client,
@@ -4307,7 +4305,6 @@ async def list_keys(
             status=status,
             project_id=project_id,
             access_group_id=access_group_id,
-            use_substring_matching=use_substring_matching,
         )
 
         verbose_proxy_logger.debug("Successfully prepared response")
@@ -4525,7 +4522,6 @@ def _build_key_filter_conditions(
     include_created_by_keys: bool = False,
     project_id: Optional[str] = None,
     access_group_id: Optional[str] = None,
-    use_substring_matching: bool = False,
 ) -> Dict[str, Union[str, Dict[str, Any], List[Dict[str, Any]]]]:
     """Build filter conditions for key listing.
 
@@ -4547,21 +4543,15 @@ def _build_key_filter_conditions(
     # Base conditions for user's own keys
     user_condition: Dict[str, Any] = {}
     if user_id and isinstance(user_id, str):
-        if use_substring_matching:
-            user_condition["user_id"] = {
-                "contains": user_id,
-                "mode": "insensitive",
-            }
-        else:
-            user_condition["user_id"] = user_id
+        user_condition["user_id"] = {
+            "contains": user_id,
+            "mode": "insensitive",
+        }
     if key_alias and isinstance(key_alias, str):
-        if use_substring_matching:
-            user_condition["key_alias"] = {
-                "contains": key_alias,
-                "mode": "insensitive",
-            }
-        else:
-            user_condition["key_alias"] = key_alias
+        user_condition["key_alias"] = {
+            "contains": key_alias,
+            "mode": "insensitive",
+        }
     if exclude_team_id and isinstance(exclude_team_id, str):
         user_condition["team_id"] = {"not": exclude_team_id}
     if organization_id and isinstance(organization_id, str):
@@ -4664,7 +4654,6 @@ async def _list_key_helper(
     status: Optional[str] = None,
     project_id: Optional[str] = None,
     access_group_id: Optional[str] = None,
-    use_substring_matching: bool = False,
 ) -> KeyListResponseObject:
     """
     Helper function to list keys
@@ -4700,7 +4689,6 @@ async def _list_key_helper(
         include_created_by_keys=include_created_by_keys,
         project_id=project_id,
         access_group_id=access_group_id,
-        use_substring_matching=use_substring_matching,
     )
 
     # Calculate skip for pagination
diff --git a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
index 12ec79d3e0b..c32d84b111d 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
@@ -6588,9 +6588,9 @@ async def test_build_key_filter_member_team_service_accounts():
     # Should have 2 conditions: user's own keys + member team service accounts
     assert len(or_conditions) == 2
 
-    # First: user's own keys
+    # First: user's own keys (substring match)
     user_cond = or_conditions[0]
-    assert user_cond["user_id"] == user_id
+    assert user_cond["user_id"] == {"contains": user_id, "mode": "insensitive"}
 
     # Second: service accounts for member teams (user_id=None AND team_id in member teams)
     service_account_cond = or_conditions[1]

From d332c5b5417a09bf38429feda1983678876091fe Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 15:29:02 -0700
Subject: [PATCH 014/115] [Docs] Improve high availability control plane
 diagram clarity
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Show each worker's DB and Redis as prominent infra boxes instead of
small chips, and clarify that the control plane is admin UI only —
not a router.
---
 .../proxy/high_availability_control_plane.md  |   4 +-
 .../ControlPlaneArchitecture.tsx              | 113 +++++++++++-------
 .../styles.module.css                         | 102 +++++++++++-----
 3 files changed, 145 insertions(+), 74 deletions(-)

diff --git a/docs/my-website/docs/proxy/high_availability_control_plane.md b/docs/my-website/docs/proxy/high_availability_control_plane.md
index 324fba3a180..456804c39e8 100644
--- a/docs/my-website/docs/proxy/high_availability_control_plane.md
+++ b/docs/my-website/docs/proxy/high_availability_control_plane.md
@@ -42,9 +42,9 @@ The **High Availability Control Plane** takes a different approach:
 
 <ControlPlaneArchitecture />
 
-The **control plane** is a LiteLLM instance that serves the admin UI and knows about all the workers. It does not proxy LLM requests, it is purely for administration.
+The **control plane** is a LiteLLM instance that serves the admin UI and knows about all the workers. It is **not a router** — it does not proxy or route any LLM requests. It exists purely so admins can switch between workers and manage them from a single UI.
 
-Each **worker** is a fully independent LiteLLM proxy that handles LLM requests for its region or team. Workers have their own users, keys, teams, and budgets.
+Each **worker** is a fully independent LiteLLM proxy that handles LLM requests for its region or team. Workers have their own database, Redis, master key, users, keys, teams, and budgets. No infrastructure is shared between workers.
 
 ## Setup
 
diff --git a/docs/my-website/src/components/ControlPlaneArchitecture/ControlPlaneArchitecture.tsx b/docs/my-website/src/components/ControlPlaneArchitecture/ControlPlaneArchitecture.tsx
index 5cc41979b02..d296e0ce29f 100644
--- a/docs/my-website/src/components/ControlPlaneArchitecture/ControlPlaneArchitecture.tsx
+++ b/docs/my-website/src/components/ControlPlaneArchitecture/ControlPlaneArchitecture.tsx
@@ -3,23 +3,56 @@ import styles from './styles.module.css';
 
 /* ────────────────────── Shared small pieces ────────────────────── */
 
-function InfraChip({ color, label }: { color: string; label: string }) {
-  const dotClass =
+function InfraBox({ icon, label, color }: { icon: string; label: string; color: 'green' | 'blue' | 'orange' }) {
+  const colorClass =
     color === 'green'
-      ? styles.infraDotGreen
+      ? styles.infraBoxGreen
       : color === 'blue'
-        ? styles.infraDotBlue
-        : styles.infraDotOrange;
+        ? styles.infraBoxBlue
+        : styles.infraBoxOrange;
 
   return (
-    <span className={styles.infraChip}>
-      <span className={`${styles.infraDot} ${dotClass}`} />
-      {label}
-    </span>
+    <div className={`${styles.infraBox} ${colorClass}`}>
+      <span className={styles.infraBoxIcon}>{icon}</span>
+      <span className={styles.infraBoxLabel}>{label}</span>
+    </div>
   );
 }
 
-/* ────────────────────── Architecture tab ────────────────────── */
+/* ────────────────────── Worker column with infra ────────────────────── */
+
+function WorkerColumn({
+  name,
+  region,
+  subtitle,
+  nodeClass,
+  badgeClass,
+}: {
+  name: string;
+  region: string;
+  subtitle: string;
+  nodeClass: string;
+  badgeClass: string;
+}) {
+  return (
+    <div className={styles.workerColumn}>
+      <div className={`${styles.node} ${styles.nodeWorker} ${nodeClass}`}>
+        <div className={styles.nodeHeader}>
+          <span className={styles.nodeTitle}>{name}</span>
+          <span className={`${styles.badge} ${badgeClass}`}>{region}</span>
+        </div>
+        <div className={styles.nodeSubtitle}>{subtitle}</div>
+        <div className={styles.nodeCaption}>Handles LLM requests</div>
+      </div>
+      <div className={styles.infraStack}>
+        <InfraBox icon="🗄" label="Own Database" color="green" />
+        <InfraBox icon="⚡" label="Own Redis" color="orange" />
+      </div>
+    </div>
+  );
+}
+
+/* ────────────────────── Architecture diagram ────────────────────── */
 
 function ArchitectureView() {
   return (
@@ -36,49 +69,41 @@ function ArchitectureView() {
       <div className={`${styles.node} ${styles.nodeControlPlane}`}>
         <div className={styles.nodeHeader}>
           <span className={styles.nodeTitle}>Control Plane</span>
-          <span className={`${styles.badge} ${styles.badgeBlue}`}>UI</span>
+          <span className={`${styles.badge} ${styles.badgeBlue}`}>ADMIN UI ONLY</span>
         </div>
         <div className={styles.nodeSubtitle}>cp.example.com</div>
-        <div className={styles.infraRow}>
-          <InfraChip color="green" label="Own DB" />
-          <InfraChip color="orange" label="Own Redis" />
-          <InfraChip color="blue" label="Own Key" />
+        <div className={styles.nodeCaption}>
+          Not a router — does not proxy LLM requests.
+          <br />
+          Lets admins switch between workers to manage them.
         </div>
       </div>
 
-      {/* Branch connector */}
-      <div className={styles.connectorBranch}>
-        <div className={`${styles.branchLeg} ${styles.branchLegLeft}`} />
-        <div className={`${styles.branchLeg} ${styles.branchLegRight}`} />
+      {/* Branch connector with label */}
+      <div className={styles.connectorBranchLabeled}>
+        <span className={styles.connectorLabel}>UI management only</span>
+        <div className={styles.connectorBranch}>
+          <div className={`${styles.branchLeg} ${styles.branchLegLeft}`} />
+          <div className={`${styles.branchLeg} ${styles.branchLegRight}`} />
+        </div>
       </div>
 
       {/* Workers */}
       <div className={styles.workersRow}>
-        <div className={`${styles.node} ${styles.nodeWorker} ${styles.nodeWorkerA}`}>
-          <div className={styles.nodeHeader}>
-            <span className={styles.nodeTitle}>Worker A</span>
-            <span className={`${styles.badge} ${styles.badgeGreen}`}>US East</span>
-          </div>
-          <div className={styles.nodeSubtitle}>worker-a.example.com</div>
-          <div className={styles.infraRow}>
-            <InfraChip color="green" label="Own DB" />
-            <InfraChip color="orange" label="Own Redis" />
-            <InfraChip color="blue" label="Own Key" />
-          </div>
-        </div>
-
-        <div className={`${styles.node} ${styles.nodeWorker} ${styles.nodeWorkerB}`}>
-          <div className={styles.nodeHeader}>
-            <span className={styles.nodeTitle}>Worker B</span>
-            <span className={`${styles.badge} ${styles.badgePurple}`}>EU West</span>
-          </div>
-          <div className={styles.nodeSubtitle}>worker-b.example.com</div>
-          <div className={styles.infraRow}>
-            <InfraChip color="green" label="Own DB" />
-            <InfraChip color="orange" label="Own Redis" />
-            <InfraChip color="blue" label="Own Key" />
-          </div>
-        </div>
+        <WorkerColumn
+          name="Worker A"
+          region="US East"
+          subtitle="worker-a.example.com"
+          nodeClass={styles.nodeWorkerA}
+          badgeClass={styles.badgeGreen}
+        />
+        <WorkerColumn
+          name="Worker B"
+          region="EU West"
+          subtitle="worker-b.example.com"
+          nodeClass={styles.nodeWorkerB}
+          badgeClass={styles.badgePurple}
+        />
       </div>
     </div>
   );
diff --git a/docs/my-website/src/components/ControlPlaneArchitecture/styles.module.css b/docs/my-website/src/components/ControlPlaneArchitecture/styles.module.css
index 8400a8920e0..03713648734 100644
--- a/docs/my-website/src/components/ControlPlaneArchitecture/styles.module.css
+++ b/docs/my-website/src/components/ControlPlaneArchitecture/styles.module.css
@@ -284,45 +284,67 @@
   color: var(--cp-purple);
 }
 
-/* ── Infrastructure chips ── */
-.infraRow {
-  display: flex;
-  gap: 0.4rem;
-  justify-content: center;
-  flex-wrap: wrap;
-  margin-top: 0.5rem;
+/* ── Node caption ── */
+.nodeCaption {
+  font-size: 0.72rem;
+  color: var(--cp-text-muted);
+  margin-top: 0.4rem;
+  line-height: 1.4;
+  font-style: italic;
 }
 
-.infraChip {
+/* ── Infrastructure boxes (per-worker) ── */
+.infraStack {
+  display: flex;
+  flex-direction: column;
+  gap: 0.35rem;
+  margin-top: 0.5rem;
+  width: 100%;
+}
+
+.infraBox {
   display: flex;
   align-items: center;
-  gap: 0.3rem;
-  font-size: 0.7rem;
-  font-weight: 500;
-  color: var(--cp-text-secondary);
-  background: var(--cp-infra-bg);
-  border: 1px solid var(--cp-infra-border);
-  border-radius: 6px;
-  padding: 0.2rem 0.5rem;
+  gap: 0.5rem;
+  padding: 0.45rem 0.75rem;
+  border-radius: 8px;
+  border: 1.5px solid var(--cp-border);
+  background: var(--cp-card-bg);
 }
 
-.infraDot {
-  width: 6px;
-  height: 6px;
-  border-radius: 50%;
+.infraBoxGreen {
+  border-color: var(--cp-green);
+  background: var(--cp-green-light);
+}
+
+.infraBoxBlue {
+  border-color: var(--cp-accent);
+  background: var(--cp-accent-light);
+}
+
+.infraBoxOrange {
+  border-color: var(--cp-orange);
+  background: var(--cp-orange-light);
+}
+
+.infraBoxIcon {
+  font-size: 0.85rem;
   flex-shrink: 0;
 }
 
-.infraDotGreen {
-  background: var(--cp-green);
+.infraBoxLabel {
+  font-size: 0.75rem;
+  font-weight: 600;
+  color: var(--cp-text);
 }
 
-.infraDotBlue {
-  background: var(--cp-accent);
-}
-
-.infraDotOrange {
-  background: var(--cp-orange);
+/* ── Worker column (card + infra stack) ── */
+.workerColumn {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+  min-width: 220px;
+  max-width: 260px;
 }
 
 /* ── Workers row ── */
@@ -333,6 +355,24 @@
   flex-wrap: wrap;
 }
 
+/* ── Connector with label ── */
+.connectorBranchLabeled {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  width: 100%;
+  max-width: 700px;
+}
+
+.connectorLabel {
+  font-size: 0.7rem;
+  color: var(--cp-text-muted);
+  font-weight: 500;
+  text-transform: uppercase;
+  letter-spacing: 0.05em;
+  margin-bottom: 0.25rem;
+}
+
 /* ── Animated flow ── */
 .flowLabel {
   font-size: 0.7rem;
@@ -511,6 +551,12 @@
     max-width: 260px;
   }
 
+  .workerColumn {
+    min-width: auto;
+    width: 100%;
+    max-width: 280px;
+  }
+
   .connectorBranch {
     display: none;
   }

From 9284395c1df3872f5741a36ffadd9b231c41ff60 Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 15:51:44 -0700
Subject: [PATCH 015/115] [Fix] Hide connector label on mobile, remove stale
 master key mention
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Hide .connectorBranchLabeled on ≤768px so the "UI management only"
label doesn't render without its branch lines. Also remove "master key"
from doc text since the diagram intentionally omits that box.
---
 docs/my-website/docs/proxy/high_availability_control_plane.md | 2 +-
 .../src/components/ControlPlaneArchitecture/styles.module.css | 4 ++++
 2 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/docs/my-website/docs/proxy/high_availability_control_plane.md b/docs/my-website/docs/proxy/high_availability_control_plane.md
index 456804c39e8..4cc6d2952fb 100644
--- a/docs/my-website/docs/proxy/high_availability_control_plane.md
+++ b/docs/my-website/docs/proxy/high_availability_control_plane.md
@@ -44,7 +44,7 @@ The **High Availability Control Plane** takes a different approach:
 
 The **control plane** is a LiteLLM instance that serves the admin UI and knows about all the workers. It is **not a router** — it does not proxy or route any LLM requests. It exists purely so admins can switch between workers and manage them from a single UI.
 
-Each **worker** is a fully independent LiteLLM proxy that handles LLM requests for its region or team. Workers have their own database, Redis, master key, users, keys, teams, and budgets. No infrastructure is shared between workers.
+Each **worker** is a fully independent LiteLLM proxy that handles LLM requests for its region or team. Workers have their own database, Redis, users, keys, teams, and budgets. No infrastructure is shared between workers.
 
 ## Setup
 
diff --git a/docs/my-website/src/components/ControlPlaneArchitecture/styles.module.css b/docs/my-website/src/components/ControlPlaneArchitecture/styles.module.css
index 03713648734..3084c5ad44a 100644
--- a/docs/my-website/src/components/ControlPlaneArchitecture/styles.module.css
+++ b/docs/my-website/src/components/ControlPlaneArchitecture/styles.module.css
@@ -557,6 +557,10 @@
     max-width: 280px;
   }
 
+  .connectorBranchLabeled {
+    display: none;
+  }
+
   .connectorBranch {
     display: none;
   }

From 8a2186a654b67fff101e5f8ac5a68167a2ca52cc Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 16:19:03 -0700
Subject: [PATCH 016/115] [Fix] Reset page to 1 on filter reset and use
 pageSize param in fallbacks

Add setCurrentPage(1) to handleFilterReset in the hook so page resets
regardless of which component consumes it. Replace hardcoded page_size: 50
in empty-state fallbacks with the pageSize parameter for consistency.
---
 .../src/components/view_logs/log_filter_logic.tsx          | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
index 9acff32d63c..8c88de49d0d 100644
--- a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
+++ b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx
@@ -174,7 +174,7 @@ export function useLogFilterLogic({
         data: [],
         total: 0,
         page: 1,
-        page_size: 50,
+        page_size: pageSize,
         total_pages: 0,
       };
     }
@@ -242,7 +242,7 @@ export function useLogFilterLogic({
         data: [],
         total: 0,
         page: 1,
-        page_size: 50,
+        page_size: pageSize,
         total_pages: 0,
       };
     }
@@ -294,6 +294,9 @@ export function useLogFilterLogic({
 
     // Cancel any in-flight debounced search
     debouncedSearch.cancel();
+
+    // Reset to first page so the unfiltered view starts at page 1
+    setCurrentPage(1);
   };
 
   return {

From a59acc8f8a1521767a68494cf76a50869cb430df Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 16:50:09 -0700
Subject: [PATCH 017/115] [Fix] Derive use_substring_matching from role, not
 auto-set path

Substring matching for user_id and key_alias on /key/list is now gated
by caller role (admin only) rather than by whether user_id was auto-set.
This closes the gap where a non-admin explicitly passing their own
user_id still got contains-based filtering, which could surface keys
belonging to other users with overlapping IDs.

Adds three unit tests covering the substring, exact-match, and default
code paths in _build_key_filter_conditions. Restores the existing
member-team test to assert exact matching as a security regression guard.
---
 .../key_management_endpoints.py               | 32 +++++--
 .../test_key_management_endpoints.py          | 96 ++++++++++++++++++-
 2 files changed, 116 insertions(+), 12 deletions(-)

diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py
index d82febea8fe..c140de98191 100644
--- a/litellm/proxy/management_endpoints/key_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/key_management_endpoints.py
@@ -4280,10 +4280,12 @@ async def list_keys(
         else:
             admin_team_ids = None
 
-        if not user_id and user_api_key_dict.user_role not in [
+        use_substring_matching = user_api_key_dict.user_role in [
             LitellmUserRoles.PROXY_ADMIN.value,
             LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value,
-        ]:
+        ]
+
+        if not user_id and not use_substring_matching:
             user_id = user_api_key_dict.user_id
 
         response = await _list_key_helper(
@@ -4305,6 +4307,7 @@ async def list_keys(
             status=status,
             project_id=project_id,
             access_group_id=access_group_id,
+            use_substring_matching=use_substring_matching,
         )
 
         verbose_proxy_logger.debug("Successfully prepared response")
@@ -4522,6 +4525,7 @@ def _build_key_filter_conditions(
     include_created_by_keys: bool = False,
     project_id: Optional[str] = None,
     access_group_id: Optional[str] = None,
+    use_substring_matching: bool = False,
 ) -> Dict[str, Union[str, Dict[str, Any], List[Dict[str, Any]]]]:
     """Build filter conditions for key listing.
 
@@ -4543,15 +4547,21 @@ def _build_key_filter_conditions(
     # Base conditions for user's own keys
     user_condition: Dict[str, Any] = {}
     if user_id and isinstance(user_id, str):
-        user_condition["user_id"] = {
-            "contains": user_id,
-            "mode": "insensitive",
-        }
+        if use_substring_matching:
+            user_condition["user_id"] = {
+                "contains": user_id,
+                "mode": "insensitive",
+            }
+        else:
+            user_condition["user_id"] = user_id
     if key_alias and isinstance(key_alias, str):
-        user_condition["key_alias"] = {
-            "contains": key_alias,
-            "mode": "insensitive",
-        }
+        if use_substring_matching:
+            user_condition["key_alias"] = {
+                "contains": key_alias,
+                "mode": "insensitive",
+            }
+        else:
+            user_condition["key_alias"] = key_alias
     if exclude_team_id and isinstance(exclude_team_id, str):
         user_condition["team_id"] = {"not": exclude_team_id}
     if organization_id and isinstance(organization_id, str):
@@ -4654,6 +4664,7 @@ async def _list_key_helper(
     status: Optional[str] = None,
     project_id: Optional[str] = None,
     access_group_id: Optional[str] = None,
+    use_substring_matching: bool = False,
 ) -> KeyListResponseObject:
     """
     Helper function to list keys
@@ -4689,6 +4700,7 @@ async def _list_key_helper(
         include_created_by_keys=include_created_by_keys,
         project_id=project_id,
         access_group_id=access_group_id,
+        use_substring_matching=use_substring_matching,
     )
 
     # Calculate skip for pagination
diff --git a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
index c32d84b111d..0ff276953c6 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py
@@ -6588,9 +6588,9 @@ async def test_build_key_filter_member_team_service_accounts():
     # Should have 2 conditions: user's own keys + member team service accounts
     assert len(or_conditions) == 2
 
-    # First: user's own keys (substring match)
+    # First: user's own keys (exact match — non-admin callers use exact matching)
     user_cond = or_conditions[0]
-    assert user_cond["user_id"] == {"contains": user_id, "mode": "insensitive"}
+    assert user_cond["user_id"] == user_id
 
     # Second: service accounts for member teams (user_id=None AND team_id in member teams)
     service_account_cond = or_conditions[1]
@@ -6988,6 +6988,98 @@ async def test_build_key_filter_team_id_scoped():
     )
 
 
+@pytest.mark.asyncio
+async def test_build_key_filter_admin_substring_matching():
+    """
+    Admin callers get substring (contains + insensitive) matching for user_id
+    and key_alias when use_substring_matching=True.
+    """
+    from litellm.proxy.management_endpoints.key_management_endpoints import (
+        _build_key_filter_conditions,
+    )
+
+    user_id = "alice"
+    key_alias = "prod"
+
+    where = _build_key_filter_conditions(
+        user_id=user_id,
+        team_id=None,
+        organization_id=None,
+        key_alias=key_alias,
+        key_hash=None,
+        exclude_team_id=None,
+        admin_team_ids=None,
+        member_team_ids=None,
+        include_created_by_keys=False,
+        use_substring_matching=True,
+    )
+
+    # Single OR condition is flattened into the top-level where dict
+    assert where["user_id"] == {"contains": user_id, "mode": "insensitive"}
+    assert where["key_alias"] == {"contains": key_alias, "mode": "insensitive"}
+
+
+@pytest.mark.asyncio
+async def test_build_key_filter_non_admin_exact_matching():
+    """
+    Non-admin callers get exact matching for user_id and key_alias when
+    use_substring_matching=False (the default).  This prevents a user whose
+    ID is a substring of another user's ID from seeing that user's keys.
+    """
+    from litellm.proxy.management_endpoints.key_management_endpoints import (
+        _build_key_filter_conditions,
+    )
+
+    user_id = "alice@example.com"
+    key_alias = "my-key"
+
+    where = _build_key_filter_conditions(
+        user_id=user_id,
+        team_id=None,
+        organization_id=None,
+        key_alias=key_alias,
+        key_hash=None,
+        exclude_team_id=None,
+        admin_team_ids=None,
+        member_team_ids=None,
+        include_created_by_keys=False,
+        use_substring_matching=False,
+    )
+
+    # Single OR condition is flattened into the top-level where dict
+    # Exact match — no contains/insensitive wrapping
+    assert where["user_id"] == user_id
+    assert where["key_alias"] == key_alias
+
+
+@pytest.mark.asyncio
+async def test_build_key_filter_default_is_exact_matching():
+    """
+    The default for use_substring_matching is False, ensuring backward
+    compatibility — callers that don't pass the flag get exact matching.
+    """
+    from litellm.proxy.management_endpoints.key_management_endpoints import (
+        _build_key_filter_conditions,
+    )
+
+    user_id = "user-123"
+
+    where = _build_key_filter_conditions(
+        user_id=user_id,
+        team_id=None,
+        organization_id=None,
+        key_alias=None,
+        key_hash=None,
+        exclude_team_id=None,
+        admin_team_ids=None,
+        member_team_ids=None,
+        include_created_by_keys=False,
+    )
+
+    # Single OR condition is flattened into the top-level where dict
+    assert where["user_id"] == user_id
+
+
 @pytest.mark.asyncio
 async def test_get_member_team_ids():
     """

From 191bb9504d770416a7cfdd436bc22a29d61c62fb Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 16:59:19 -0700
Subject: [PATCH 018/115] chore(ui): migrate Tremor Text/Badge to antd Tag and
 native spans in logging_settings_view

Replace Tremor Text with native <span> elements (with block class where
stacking is needed) and Tremor Badge with antd Tag. All Tailwind classes
preserved. Gray badge default mapped to undefined (antd Tag default).
---
 .../src/components/logging_settings_view.tsx  | 48 +++++++++----------
 1 file changed, 24 insertions(+), 24 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/logging_settings_view.tsx b/ui/litellm-dashboard/src/components/logging_settings_view.tsx
index 1f454f0b202..079711d196d 100644
--- a/ui/litellm-dashboard/src/components/logging_settings_view.tsx
+++ b/ui/litellm-dashboard/src/components/logging_settings_view.tsx
@@ -1,5 +1,5 @@
 import React from "react";
-import { Text, Badge } from "@tremor/react";
+import { Tag } from "antd";
 import { CogIcon, BanIcon } from "@heroicons/react/outline";
 import { callbackInfo, callback_map, reverse_callback_map } from "./callback_info_helpers";
 
@@ -28,7 +28,7 @@ export function LoggingSettingsView({
     return callbackDisplayName || callbackName;
   };
 
-  const getEventTypeColor = (eventType: string) => {
+  const getEventTypeColor = (eventType: string): string | undefined => {
     switch (eventType) {
       case "success":
         return "green";
@@ -37,7 +37,7 @@ export function LoggingSettingsView({
       case "success_and_failure":
         return "blue";
       default:
-        return "gray";
+        return undefined;
     }
   };
 
@@ -60,10 +60,10 @@ export function LoggingSettingsView({
       <div className="space-y-3">
         <div className="flex items-center gap-2">
           <CogIcon className="h-4 w-4 text-blue-600" />
-          <Text className="font-semibold text-gray-900">Logging Integrations</Text>
-          <Badge color="blue" size="xs">
+          <span className="font-semibold text-gray-900">Logging Integrations</span>
+          <Tag color="blue">
             {loggingConfigs.length}
-          </Badge>
+          </Tag>
         </div>
 
         {loggingConfigs.length > 0 ? (
@@ -84,15 +84,15 @@ export function LoggingSettingsView({
                       <CogIcon className="h-5 w-5 text-gray-400" />
                     )}
                     <div>
-                      <Text className="font-medium text-blue-800">{displayName}</Text>
-                      <Text className="text-xs text-blue-600">
+                      <span className="block font-medium text-blue-800">{displayName}</span>
+                      <span className="block text-xs text-blue-600">
                         {Object.keys(config.callback_vars).length} parameters configured
-                      </Text>
+                      </span>
                     </div>
                   </div>
-                  <Badge color={getEventTypeColor(config.callback_type)} size="sm">
+                  <Tag color={getEventTypeColor(config.callback_type)}>
                     {getEventTypeLabel(config.callback_type)}
-                  </Badge>
+                  </Tag>
                 </div>
               );
             })}
@@ -100,7 +100,7 @@ export function LoggingSettingsView({
         ) : (
           <div className="flex items-center gap-2 px-3 py-2 rounded-lg bg-gray-50 border border-gray-200">
             <CogIcon className="h-4 w-4 text-gray-400" />
-            <Text className="text-gray-500 text-sm">No logging integrations configured</Text>
+            <span className="text-gray-500 text-sm">No logging integrations configured</span>
           </div>
         )}
       </div>
@@ -109,10 +109,10 @@ export function LoggingSettingsView({
       <div className="space-y-3">
         <div className="flex items-center gap-2">
           <BanIcon className="h-4 w-4 text-red-600" />
-          <Text className="font-semibold text-gray-900">Disabled Callbacks</Text>
-          <Badge color="red" size="xs">
+          <span className="font-semibold text-gray-900">Disabled Callbacks</span>
+          <Tag color="red">
             {disabledCallbacks.length}
-          </Badge>
+          </Tag>
         </div>
 
         {disabledCallbacks.length > 0 ? (
@@ -134,13 +134,13 @@ export function LoggingSettingsView({
                       <BanIcon className="h-5 w-5 text-gray-400" />
                     )}
                     <div>
-                      <Text className="font-medium text-red-800">{displayName}</Text>
-                      <Text className="text-xs text-red-600">Disabled for this key</Text>
+                      <span className="block font-medium text-red-800">{displayName}</span>
+                      <span className="block text-xs text-red-600">Disabled for this key</span>
                     </div>
                   </div>
-                  <Badge color="red" size="sm">
+                  <Tag color="red">
                     Disabled
-                  </Badge>
+                  </Tag>
                 </div>
               );
             })}
@@ -148,7 +148,7 @@ export function LoggingSettingsView({
         ) : (
           <div className="flex items-center gap-2 px-3 py-2 rounded-lg bg-gray-50 border border-gray-200">
             <BanIcon className="h-4 w-4 text-gray-400" />
-            <Text className="text-gray-500 text-sm">No callbacks disabled</Text>
+            <span className="text-gray-500 text-sm">No callbacks disabled</span>
           </div>
         )}
       </div>
@@ -160,10 +160,10 @@ export function LoggingSettingsView({
       <div className={`bg-white border border-gray-200 rounded-lg p-6 ${className}`}>
         <div className="flex items-center gap-2 mb-6">
           <div>
-            <Text className="font-semibold text-gray-900">Logging Settings</Text>
-            <Text className="text-xs text-gray-500">
+            <span className="block font-semibold text-gray-900">Logging Settings</span>
+            <span className="block text-xs text-gray-500">
               Active logging integrations and disabled callbacks for this key
-            </Text>
+            </span>
           </div>
         </div>
         {content}
@@ -173,7 +173,7 @@ export function LoggingSettingsView({
 
   return (
     <div className={`${className}`}>
-      <Text className="font-medium text-gray-900 mb-3">Logging Settings</Text>
+      <span className="block font-medium text-gray-900 mb-3">Logging Settings</span>
       {content}
     </div>
   );

From fdad43b6dd68411aaeb05b41af003136846fe7be Mon Sep 17 00:00:00 2001
From: Ryan Crabbe <ryan@berri.ai>
Date: Sat, 28 Mar 2026 17:45:37 -0700
Subject: [PATCH 019/115] style: use `not team_object.models` consistently for
 empty-list checks

---
 litellm/proxy/proxy_server.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 222bdb42f8d..6eab3f70ca0 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -9275,7 +9275,7 @@ async def _add_access_group_models_to_team_models(
         # Skip teams with empty models list — they already have access to everything
         # (handled by _add_team_models_to_all_models)
         if (
-            len(team_object.models) == 0
+            not team_object.models
             or SpecialModelNames.all_proxy_models.value in team_object.models
         ):
             continue
@@ -9869,7 +9869,7 @@ async def _filter_models_by_team_id(
     team_accessible_model_ids: Set[str] = set()
 
     if (
-        len(team_object.models) == 0  # empty list = all model access
+        not team_object.models  # empty list = all model access
         or SpecialModelNames.all_proxy_models.value in team_object.models
     ):
         # Team has access to all models

From 05134fc70bb086ea775b5e3bf577f167e4e494fd Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 07:47:06 -0700
Subject: [PATCH 020/115] Create scorecard.yml

---
 .github/workflows/scorecard.yml | 47 +++++++++++++++++++++++++++++++++
 1 file changed, 47 insertions(+)
 create mode 100644 .github/workflows/scorecard.yml

diff --git a/.github/workflows/scorecard.yml b/.github/workflows/scorecard.yml
new file mode 100644
index 00000000000..7cd12bb219c
--- /dev/null
+++ b/.github/workflows/scorecard.yml
@@ -0,0 +1,47 @@
+name: Scorecard supply-chain security
+
+on:
+  branch_protection_rule:
+  schedule:
+    - cron: '27 12 * * 4'
+  push:
+    branches: ["main"]
+
+permissions: read-all
+
+jobs:
+  analysis:
+    name: Scorecard analysis
+    runs-on: ubuntu-latest
+    if: github.event.repository.default_branch == github.ref_name
+    permissions:
+      security-events: write
+      id-token: write
+      # Uncomment for private repos if needed:
+      # contents: read
+      # actions: read
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
+        with:
+          persist-credentials: false
+
+      - name: Run analysis
+        uses: ossf/scorecard-action@f49aabe0b5af0936a0987cfb85d86b75731b0186 # v2.4.1
+        with:
+          results_file: results.sarif
+          results_format: sarif
+          publish_results: true
+
+      - name: Upload artifact
+        uses: actions/upload-artifact@4cec3d8aa04e39d1a68397de0c4cd6fb9dce8ec1 # v4.6.1
+        with:
+          name: SARIF file
+          path: results.sarif
+          retention-days: 5
+
+      - name: Upload to code scanning
+        uses: github/codeql-action/upload-sarif@c10b806170c8ee63ea24152429041b5624f0baf5 # v4.35.1
+        with:
+          sarif_file: results.sarif

From 5671baaadf7d1ce3e7f95a7371fe71323d97dea9 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 08:31:10 -0700
Subject: [PATCH 021/115] fix: fix setup wizard

---
 litellm/setup_wizard.py                          |  6 +++---
 .../test_fireworks_ai_translation.py             | 16 +---------------
 2 files changed, 4 insertions(+), 18 deletions(-)

diff --git a/litellm/setup_wizard.py b/litellm/setup_wizard.py
index ee5918e1273..666915669fa 100644
--- a/litellm/setup_wizard.py
+++ b/litellm/setup_wizard.py
@@ -71,7 +71,7 @@ PROVIDERS: List[Dict] = [
         "id": "azure",
         "name": "Azure OpenAI",
         "description": "GPT-4o via Azure",
-        "env_key": "AZURE_API_KEY",
+        "env_key": "AZURE_AI_API_KEY",
         "key_hint": "your-azure-key",
         "test_model": None,  # needs deployment name — skip validation
         "models": [],
@@ -428,7 +428,7 @@ class SetupWizard:
                     f"  {blue('❯')} Azure endpoint URL {grey(p.get('api_base_hint', ''))}: "
                 )
                 if api_base:
-                    env_vars[f"_LITELLM_AZURE_API_BASE_{p['id'].upper()}"] = api_base
+                    env_vars[f"_LITELLM_AZURE_AI_API_BASE_{p['id'].upper()}"] = api_base
                 deployment = _styled_input(
                     f"  {blue('❯')} Azure deployment name {grey('(e.g. my-gpt4o)')}: "
                 )
@@ -557,7 +557,7 @@ class SetupWizard:
                         f'      api_base: "{_yaml_escape(str(p["api_base"]))}"'
                     )
                 elif p.get("needs_api_base"):
-                    azure_base_key = f"_LITELLM_AZURE_API_BASE_{p['id'].upper()}"
+                    azure_base_key = f"_LITELLM_AZURE_AI_API_BASE_{p['id'].upper()}"
                     if azure_base_key in env_copy:
                         lines.append(
                             f'      api_base: "{_yaml_escape(env_copy.pop(azure_base_key))}"'
diff --git a/tests/llm_translation/test_fireworks_ai_translation.py b/tests/llm_translation/test_fireworks_ai_translation.py
index 24c0d546e25..1cc6aabdca8 100644
--- a/tests/llm_translation/test_fireworks_ai_translation.py
+++ b/tests/llm_translation/test_fireworks_ai_translation.py
@@ -77,18 +77,6 @@ def test_map_response_format():
     }
 
 
-@pytest.mark.skip(reason="fireworks is having an active outage")
-class TestFireworksAIChatCompletion(BaseLLMChatTest):
-    def get_base_completion_call_args(self) -> dict:
-        return {
-            "model": "fireworks_ai/accounts/fireworks/models/llama-v3p1-8b-instruct"
-        }
-
-    def test_tool_call_no_arguments(self, tool_call_no_arguments):
-        """Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
-        pass
-
-
 class TestFireworksAIAudioTranscription(BaseLLMAudioTranscriptionTest):
     def get_base_audio_transcription_call_args(self) -> dict:
         return {
@@ -252,7 +240,5 @@ def test_global_disable_flag_with_transform_messages_helper(monkeypatch):
         json_data = json.loads(mock_post.call_args.kwargs["data"])
         assert (
             "#transform=inline"
-            not in json_data["messages"][0]["content"][1]["image_url"][
-                "url"
-            ]
+            not in json_data["messages"][0]["content"][1]["image_url"]["url"]
         )

From bc89ad28ab7f55517f7d95378150034b3998b4c4 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 09:19:48 -0700
Subject: [PATCH 022/115] docs: cleanup

---
 .../vanta_compliance_recertification/index.md |  18 ++++++++++++++++++
 .../img/blog/vanta_soc2_recertification.png   | Bin 0 -> 39074 bytes
 2 files changed, 18 insertions(+)
 create mode 100644 docs/my-website/blog/vanta_compliance_recertification/index.md
 create mode 100644 docs/my-website/static/img/blog/vanta_soc2_recertification.png

diff --git a/docs/my-website/blog/vanta_compliance_recertification/index.md b/docs/my-website/blog/vanta_compliance_recertification/index.md
new file mode 100644
index 00000000000..38c5f733c1c
--- /dev/null
+++ b/docs/my-website/blog/vanta_compliance_recertification/index.md
@@ -0,0 +1,18 @@
+---
+slug: vanta-compliance-recertification
+title: "LiteLLM + Vanta: SOC 2 and ISO 27001 Recertification"
+date: 2026-03-30T10:00:00
+authors:
+  - krrish
+description: "LiteLLM is partnering with Vanta on SOC 2 and ISO 27001 recertification and engaging independent auditors for verification."
+tags: [security, compliance]
+hide_table_of_contents: true
+---
+
+![LiteLLM x Vanta SOC-2 Recertification](/img/blog/vanta_soc2_recertification.png)
+
+We are partnering with [Vanta](https://www.vanta.com/) to recertify LiteLLM's compliance for SOC 2 and ISO 27001.
+
+As part of this process, we are also identifying independent auditors to validate and verify our compliance posture.
+
+Our goal is to be the most secure and transparent AI Gateway possible.
diff --git a/docs/my-website/static/img/blog/vanta_soc2_recertification.png b/docs/my-website/static/img/blog/vanta_soc2_recertification.png
new file mode 100644
index 0000000000000000000000000000000000000000..8e9f3d47f174f8d1816138190366a79e0adb1c79
GIT binary patch
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From 01289252816d9ca41cab12b07af5265560680e0b Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 09:26:46 -0700
Subject: [PATCH 023/115] docs: cleanup image

---
 .../vanta_compliance_recertification/index.md |   6 +++---
 .../img/blog/vanta_soc2_recertification.png   | Bin 39074 -> 40144 bytes
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/my-website/blog/vanta_compliance_recertification/index.md b/docs/my-website/blog/vanta_compliance_recertification/index.md
index 38c5f733c1c..cf1c90fbd0d 100644
--- a/docs/my-website/blog/vanta_compliance_recertification/index.md
+++ b/docs/my-website/blog/vanta_compliance_recertification/index.md
@@ -1,17 +1,17 @@
 ---
 slug: vanta-compliance-recertification
-title: "LiteLLM + Vanta: SOC 2 and ISO 27001 Recertification"
+title: "LiteLLM + Vanta: SOC 2 Type 2 and ISO 27001 Recertification"
 date: 2026-03-30T10:00:00
 authors:
   - krrish
-description: "LiteLLM is partnering with Vanta on SOC 2 and ISO 27001 recertification and engaging independent auditors for verification."
+description: "LiteLLM is partnering with Vanta on SOC 2 Type 2 and ISO 27001 recertification and engaging independent auditors for verification."
 tags: [security, compliance]
 hide_table_of_contents: true
 ---
 
 ![LiteLLM x Vanta SOC-2 Recertification](/img/blog/vanta_soc2_recertification.png)
 
-We are partnering with [Vanta](https://www.vanta.com/) to recertify LiteLLM's compliance for SOC 2 and ISO 27001.
+We are partnering with [Vanta](https://www.vanta.com/) to recertify LiteLLM's compliance for SOC 2 Type 2 and ISO 27001.
 
 As part of this process, we are also identifying independent auditors to validate and verify our compliance posture.
 
diff --git a/docs/my-website/static/img/blog/vanta_soc2_recertification.png b/docs/my-website/static/img/blog/vanta_soc2_recertification.png
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From a278933f188ae24c7c86054184cde2375d273558 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 09:41:09 -0700
Subject: [PATCH 024/115] docs: cleanup

---
 docs/my-website/blog/vanta_compliance_recertification/index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/my-website/blog/vanta_compliance_recertification/index.md b/docs/my-website/blog/vanta_compliance_recertification/index.md
index cf1c90fbd0d..d05c113967f 100644
--- a/docs/my-website/blog/vanta_compliance_recertification/index.md
+++ b/docs/my-website/blog/vanta_compliance_recertification/index.md
@@ -15,4 +15,4 @@ We are partnering with [Vanta](https://www.vanta.com/) to recertify LiteLLM's co
 
 As part of this process, we are also identifying independent auditors to validate and verify our compliance posture.
 
-Our goal is to be the most secure and transparent AI Gateway possible.
+This is part of our commitment to being the most secure and transparent AI Gateway possible.

From 92e7aaa0019ef7c9c28131a87ff8c4e2fd715808 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 10:41:45 -0700
Subject: [PATCH 025/115] [Refactor] Extract helper methods in guardrail
 handlers to fix PLR0915

Ruff flagged `process_output_streaming_response` (A2A) and
`process_output_response` (Anthropic) for exceeding 50 statements.
Extract inline logic into private helpers to bring both under the limit.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .../a2a/chat/guardrail_translation/handler.py |  71 +++++---
 .../chat/guardrail_translation/handler.py     | 167 +++++++++++-------
 2 files changed, 143 insertions(+), 95 deletions(-)

diff --git a/litellm/llms/a2a/chat/guardrail_translation/handler.py b/litellm/llms/a2a/chat/guardrail_translation/handler.py
index 91e7e9d5550..fe05bf90f8a 100644
--- a/litellm/llms/a2a/chat/guardrail_translation/handler.py
+++ b/litellm/llms/a2a/chat/guardrail_translation/handler.py
@@ -234,37 +234,13 @@ class A2AGuardrailHandler(BaseTranslation):
         then the combined guardrailed text is written into the first chunk that had text
         and all other text parts in other chunks are cleared (in-place).
         """
-        from litellm.llms.a2a.common_utils import extract_text_from_a2a_response
-
-        # Parse each item; keep alignment with responses_so_far (None where unparseable)
-        parsed: List[Optional[Dict[str, Any]]] = [None] * len(responses_so_far)
-        for i, item in enumerate(responses_so_far):
-            if isinstance(item, dict):
-                obj = item
-            elif isinstance(item, str):
-                try:
-                    obj = json.loads(item.strip())
-                except (json.JSONDecodeError, TypeError):
-                    continue
-            else:
-                continue
-            if isinstance(obj.get("result"), dict):
-                parsed[i] = obj
-
-        valid_parsed = [(i, obj) for i, obj in enumerate(parsed) if obj is not None]
+        parsed, valid_parsed = self._parse_streaming_responses(responses_so_far)
         if not valid_parsed:
             return responses_so_far
 
-        # Collect text from each chunk in order (by original index in responses_so_far)
-        text_parts: List[str] = []
-        chunk_indices_with_text: List[int] = []  # indices into valid_parsed
-        for idx, (orig_i, obj) in enumerate(valid_parsed):
-            t = extract_text_from_a2a_response(obj)
-            if t:
-                text_parts.append(t)
-                chunk_indices_with_text.append(orig_i)
-
-        combined_text = "".join(text_parts)
+        combined_text, chunk_indices_with_text = (
+            self._collect_text_from_parsed_chunks(valid_parsed)
+        )
         if not combined_text:
             return responses_so_far
 
@@ -337,6 +313,45 @@ class A2AGuardrailHandler(BaseTranslation):
 
         return responses_so_far
 
+    def _parse_streaming_responses(
+        self,
+        responses_so_far: List[Any],
+    ) -> Tuple[
+        List[Optional[Dict[str, Any]]], List[Tuple[int, Dict[str, Any]]]
+    ]:
+        """Parse JSON-RPC items, returning aligned parsed list and valid entries."""
+        parsed: List[Optional[Dict[str, Any]]] = [None] * len(responses_so_far)
+        for i, item in enumerate(responses_so_far):
+            if isinstance(item, dict):
+                obj = item
+            elif isinstance(item, str):
+                try:
+                    obj = json.loads(item.strip())
+                except (json.JSONDecodeError, TypeError):
+                    continue
+            else:
+                continue
+            if isinstance(obj.get("result"), dict):
+                parsed[i] = obj
+        valid_parsed = [(i, obj) for i, obj in enumerate(parsed) if obj is not None]
+        return parsed, valid_parsed
+
+    def _collect_text_from_parsed_chunks(
+        self,
+        valid_parsed: List[Tuple[int, Dict[str, Any]]],
+    ) -> Tuple[str, List[int]]:
+        """Collect text from parsed chunks, returning combined text and indices."""
+        from litellm.llms.a2a.common_utils import extract_text_from_a2a_response
+
+        text_parts: List[str] = []
+        chunk_indices_with_text: List[int] = []
+        for _idx, (orig_i, obj) in enumerate(valid_parsed):
+            t = extract_text_from_a2a_response(obj)
+            if t:
+                text_parts.append(t)
+                chunk_indices_with_text.append(orig_i)
+        return "".join(text_parts), chunk_indices_with_text
+
     def _extract_texts_from_result(
         self,
         result: Dict[str, Any],
diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
index b6139a2f84d..ad888f49e38 100644
--- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py
+++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
@@ -277,82 +277,26 @@ class AnthropicMessagesHandler(BaseTranslation):
         images_to_check: List[str] = []
         tool_calls_to_check: List[ChatCompletionToolCallChunk] = []
         task_mappings: List[Tuple[int, Optional[int]]] = []
-        # Track (content_index, None) for each text
-
-        # Handle both dict and object responses
-        response_content: List[Any] = []
-        if isinstance(response, dict):
-            response_content = response.get("content", []) or []
-        elif hasattr(response, "content"):
-            content = getattr(response, "content", None)
-            response_content = content or []
-        else:
-            response_content = []
 
+        response_content = self._get_response_content(response)
         if not response_content:
             return response
 
         # Step 1: Extract all text content and tool calls from response
-        for content_idx, content_block in enumerate(response_content):
-            # Handle both dict and Pydantic object content blocks
-            block_dict: Dict[str, Any] = {}
-            if isinstance(content_block, dict):
-                block_type = content_block.get("type")
-                block_dict = cast(Dict[str, Any], content_block)
-            elif hasattr(content_block, "type"):
-                block_type = getattr(content_block, "type", None)
-                # Convert Pydantic object to dict for processing
-                if hasattr(content_block, "model_dump"):
-                    block_dict = content_block.model_dump()
-                else:
-                    block_dict = {
-                        "type": block_type,
-                        "text": getattr(content_block, "text", None),
-                    }
-            else:
-                continue
-
-            if block_type in ["text", "tool_use"]:
-                self._extract_output_text_and_images(
-                    content_block=block_dict,
-                    content_idx=content_idx,
-                    texts_to_check=texts_to_check,
-                    images_to_check=images_to_check,
-                    task_mappings=task_mappings,
-                    tool_calls_to_check=tool_calls_to_check,
-                )
+        self._extract_from_content_blocks(
+            response_content, texts_to_check, images_to_check,
+            task_mappings, tool_calls_to_check,
+        )
 
         # Step 2: Apply guardrail to all texts in batch
         if texts_to_check or tool_calls_to_check:
-            # Use the real request_data if provided (proxy path), otherwise
-            # create a standalone dict (SDK / direct-call path).
-            if request_data is None:
-                request_data = {"response": response}
-            else:
-                if "response" not in request_data:
-                    request_data["response"] = response
+            request_data = self._prepare_request_data(
+                request_data, response, user_api_key_dict, key="response",
+            )
 
-            # Add user API key metadata with prefixed keys
-            if "litellm_metadata" not in request_data:
-                user_metadata = self.transform_user_api_key_dict_to_metadata(
-                    user_api_key_dict
-                )
-                if user_metadata:
-                    request_data["litellm_metadata"] = user_metadata
-
-            inputs = GenericGuardrailAPIInputs(texts=texts_to_check)
-            if images_to_check:
-                inputs["images"] = images_to_check
-            if tool_calls_to_check:
-                inputs["tool_calls"] = tool_calls_to_check
-            # Include model information from the response if available
-            response_model = None
-            if isinstance(response, dict):
-                response_model = response.get("model")
-            elif hasattr(response, "model"):
-                response_model = getattr(response, "model", None)
-            if response_model:
-                inputs["model"] = response_model
+            inputs = self._build_guardrail_inputs(
+                texts_to_check, images_to_check, tool_calls_to_check, response,
+            )
 
             guardrailed_inputs = await guardrail_to_apply.apply_guardrail(
                 inputs=inputs,
@@ -440,6 +384,95 @@ class AnthropicMessagesHandler(BaseTranslation):
         )
         return responses_so_far
 
+    def _prepare_request_data(
+        self,
+        request_data: Optional[dict],
+        response: Any,
+        user_api_key_dict: Optional[Any],
+        key: str,
+    ) -> dict:
+        """Ensure request_data has the response/responses_so_far key and metadata."""
+        if request_data is None:
+            request_data = {key: response}
+        else:
+            if key not in request_data:
+                request_data[key] = response
+
+        if "litellm_metadata" not in request_data:
+            user_metadata = self.transform_user_api_key_dict_to_metadata(
+                user_api_key_dict
+            )
+            if user_metadata:
+                request_data["litellm_metadata"] = user_metadata
+        return request_data
+
+    @staticmethod
+    def _get_response_content(response: Any) -> List[Any]:
+        """Extract content list from a dict or object response."""
+        if isinstance(response, dict):
+            return response.get("content", []) or []
+        elif hasattr(response, "content"):
+            return getattr(response, "content", None) or []
+        return []
+
+    def _extract_from_content_blocks(
+        self,
+        response_content: List[Any],
+        texts_to_check: List[str],
+        images_to_check: List[str],
+        task_mappings: List[Tuple[int, Optional[int]]],
+        tool_calls_to_check: List["ChatCompletionToolCallChunk"],
+    ) -> None:
+        """Extract text, images, and tool calls from content blocks."""
+        for content_idx, content_block in enumerate(response_content):
+            block_dict: Dict[str, Any] = {}
+            if isinstance(content_block, dict):
+                block_type = content_block.get("type")
+                block_dict = cast(Dict[str, Any], content_block)
+            elif hasattr(content_block, "type"):
+                block_type = getattr(content_block, "type", None)
+                if hasattr(content_block, "model_dump"):
+                    block_dict = content_block.model_dump()
+                else:
+                    block_dict = {
+                        "type": block_type,
+                        "text": getattr(content_block, "text", None),
+                    }
+            else:
+                continue
+
+            if block_type in ["text", "tool_use"]:
+                self._extract_output_text_and_images(
+                    content_block=block_dict,
+                    content_idx=content_idx,
+                    texts_to_check=texts_to_check,
+                    images_to_check=images_to_check,
+                    task_mappings=task_mappings,
+                    tool_calls_to_check=tool_calls_to_check,
+                )
+
+    @staticmethod
+    def _build_guardrail_inputs(
+        texts_to_check: List[str],
+        images_to_check: List[str],
+        tool_calls_to_check: List["ChatCompletionToolCallChunk"],
+        response: Any,
+    ) -> "GenericGuardrailAPIInputs":
+        """Build GenericGuardrailAPIInputs with optional images, tool calls, model."""
+        inputs = GenericGuardrailAPIInputs(texts=texts_to_check)
+        if images_to_check:
+            inputs["images"] = images_to_check
+        if tool_calls_to_check:
+            inputs["tool_calls"] = tool_calls_to_check
+        response_model = None
+        if isinstance(response, dict):
+            response_model = response.get("model")
+        elif hasattr(response, "model"):
+            response_model = getattr(response, "model", None)
+        if response_model:
+            inputs["model"] = response_model
+        return inputs
+
     def get_streaming_string_so_far(self, responses_so_far: List[Any]) -> str:
         """
         Parse streaming responses and extract accumulated text content.

From f08d281641e21eced9cf146d7f524093c5c2e567 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 10:56:54 -0700
Subject: [PATCH 026/115] [Fix] Resolve mypy type errors across 3 files

Add missing `user_api_key_project_alias` key to SpendLogsMetadata and
PagerDutyInternalEvent constructors, and cast `reasoning_items` to list
for safe iteration in responses transformation.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .../enterprise_callbacks/pagerduty/pagerduty.py               | 1 +
 .../litellm_responses_transformation/transformation.py        | 4 ++--
 litellm/proxy/spend_tracking/spend_tracking_utils.py          | 1 +
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py b/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py
index b6c9104b232..3369db8d3c7 100644
--- a/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py
+++ b/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py
@@ -197,6 +197,7 @@ class PagerDutyAlerting(SlackAlerting):
                 user_api_key_org_id=user_api_key_dict.org_id,
                 user_api_key_team_id=user_api_key_dict.team_id,
                 user_api_key_project_id=user_api_key_dict.project_id,
+                user_api_key_project_alias=user_api_key_dict.project_alias,
                 user_api_key_user_id=user_api_key_dict.user_id,
                 user_api_key_team_alias=user_api_key_dict.team_alias,
                 user_api_key_end_user_id=user_api_key_dict.end_user_id,
diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py
index 6e6070f7f2c..fded88c3ec5 100644
--- a/litellm/completion_extras/litellm_responses_transformation/transformation.py
+++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py
@@ -246,7 +246,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
                     }
                 )
             elif role == "assistant" and tool_calls and isinstance(tool_calls, list):
-                for r_item in msg.get("reasoning_items") or []:
+                for r_item in cast(list, msg.get("reasoning_items") or []):
                     input_items.append(_reasoning_item_to_response_input(r_item))
                 for tool_call in tool_calls:
                     function = tool_call.get("function")
@@ -264,7 +264,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
                         raise ValueError(f"tool call not supported: {tool_call}")
             elif content is not None:
                 if role == "assistant":
-                    for r_item in msg.get("reasoning_items") or []:
+                    for r_item in cast(list, msg.get("reasoning_items") or []):
                         input_items.append(_reasoning_item_to_response_input(r_item))
                 input_items.append(
                     {
diff --git a/litellm/proxy/spend_tracking/spend_tracking_utils.py b/litellm/proxy/spend_tracking/spend_tracking_utils.py
index 3eacc19a6df..8ea93453ed3 100644
--- a/litellm/proxy/spend_tracking/spend_tracking_utils.py
+++ b/litellm/proxy/spend_tracking/spend_tracking_utils.py
@@ -90,6 +90,7 @@ def _get_spend_logs_metadata(
             user_api_key_alias=None,
             user_api_key_team_id=None,
             user_api_key_project_id=None,
+            user_api_key_project_alias=None,
             user_api_key_org_id=None,
             user_api_key_user_id=None,
             user_api_key_team_alias=None,

From 0f785f988b752afe5044718b8817835a310b8b69 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 11:07:04 -0700
Subject: [PATCH 027/115] [Fix] Add missing user_api_key_project_alias to
 failed-response PagerDuty event

The hanging-response constructor was fixed but the sibling failed-response
constructor at line 104 was still missing this field.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .../enterprise_callbacks/pagerduty/pagerduty.py                  | 1 +
 1 file changed, 1 insertion(+)

diff --git a/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py b/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py
index 3369db8d3c7..de02a0c4dab 100644
--- a/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py
+++ b/enterprise/litellm_enterprise/enterprise_callbacks/pagerduty/pagerduty.py
@@ -116,6 +116,7 @@ class PagerDutyAlerting(SlackAlerting):
                 user_api_key_org_id=_meta.get("user_api_key_org_id"),
                 user_api_key_team_id=_meta.get("user_api_key_team_id"),
                 user_api_key_project_id=_meta.get("user_api_key_project_id"),
+                user_api_key_project_alias=_meta.get("user_api_key_project_alias"),
                 user_api_key_user_id=_meta.get("user_api_key_user_id"),
                 user_api_key_team_alias=_meta.get("user_api_key_team_alias"),
                 user_api_key_end_user_id=_meta.get("user_api_key_end_user_id"),

From 868468db1489a51764e7205b0f80802883f81a6b Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 11:07:34 -0700
Subject: [PATCH 028/115] [Test] Mock DeepInfra completion tests to avoid real
 API calls

The DeepInfra tests were making real API calls and failing with AuthenticationError.
Mock the HTTP layer to verify request shape instead.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 tests/local_testing/test_completion.py | 123 ++++++++++++++++++++++---
 1 file changed, 108 insertions(+), 15 deletions(-)

diff --git a/tests/local_testing/test_completion.py b/tests/local_testing/test_completion.py
index e6f5cd86517..dc8dae0e559 100644
--- a/tests/local_testing/test_completion.py
+++ b/tests/local_testing/test_completion.py
@@ -3392,6 +3392,13 @@ def test_petals():
 ## test deep infra
 @pytest.mark.parametrize("drop_params", [True, False])
 def test_completion_deep_infra(drop_params):
+    """Test that DeepInfra requests are shaped correctly without making real API calls."""
+    from unittest.mock import MagicMock, patch
+    from openai import OpenAI
+    from openai.types.chat import ChatCompletion, ChatCompletionMessage
+    from openai.types.chat.chat_completion import Choice
+    import httpx
+
     litellm.set_verbose = False
     model_name = "deepinfra/meta-llama/Llama-2-70b-chat-hf"
     tools = [
@@ -3420,7 +3427,51 @@ def test_completion_deep_infra(drop_params):
             "content": "What's the weather like in Boston today in Fahrenheit?",
         }
     ]
-    try:
+
+    mock_response = ChatCompletion(
+        id="chatcmpl-mock",
+        choices=[
+            Choice(
+                finish_reason="stop",
+                index=0,
+                message=ChatCompletionMessage(
+                    content="It's sunny.", role="assistant"
+                ),
+            )
+        ],
+        created=1234567890,
+        model="meta-llama/Llama-2-70b-chat-hf",
+        object="chat.completion",
+        usage={"completion_tokens": 5, "prompt_tokens": 20, "total_tokens": 25},
+    )
+
+    mock_raw = MagicMock()
+    mock_raw.parse.return_value = mock_response
+    mock_raw.headers = httpx.Headers({"content-type": "application/json"})
+    mock_raw.status_code = 200
+
+    with patch(
+        "litellm.llms.openai.openai.OpenAIChatCompletion.make_sync_openai_chat_completion_request",
+        return_value=(mock_raw, mock_response),
+    ) as mock_create:
+        if drop_params is False:
+            # DeepInfra doesn't support tool_choice, should raise UnsupportedParamsError
+            with pytest.raises(litellm.exceptions.UnsupportedParamsError):
+                completion(
+                    model=model_name,
+                    messages=messages,
+                    temperature=0,
+                    max_tokens=10,
+                    tools=tools,
+                    tool_choice={
+                        "type": "function",
+                        "function": {"name": "get_current_weather"},
+                    },
+                    drop_params=drop_params,
+                    api_key="fake-api-key",
+                )
+            return
+
         response = completion(
             model=model_name,
             messages=messages,
@@ -3432,33 +3483,75 @@ def test_completion_deep_infra(drop_params):
                 "function": {"name": "get_current_weather"},
             },
             drop_params=drop_params,
+            api_key="fake-api-key",
         )
-        # Add any assertions here to check the response
-        print(response)
-    except Exception as e:
-        if drop_params is True:
-            pytest.fail(f"Error occurred: {e}")
+
+        # Verify the call was made
+        mock_create.assert_called_once()
+        call_kwargs = mock_create.call_args.kwargs
+
+        # Verify request shape
+        data = call_kwargs["data"]
+        assert data["model"] == "meta-llama/Llama-2-70b-chat-hf"
+        assert data["messages"] == messages
+        assert data["temperature"] == 0
+        assert data["max_tokens"] == 10
+        # tool_choice should be dropped for unsupported params
+        assert "tool_choice" not in data
 
 
 # test_completion_deep_infra()
 
 
 def test_completion_deep_infra_mistral():
-    print("deep infra test with temp=0")
+    """Test that DeepInfra Mistral requests are shaped correctly without making real API calls."""
+    from unittest.mock import MagicMock, patch
+    from openai.types.chat import ChatCompletion, ChatCompletionMessage
+    from openai.types.chat.chat_completion import Choice
+    import httpx
+
     model_name = "deepinfra/mistralai/Mistral-7B-Instruct-v0.1"
-    try:
+
+    mock_response = ChatCompletion(
+        id="chatcmpl-mock",
+        choices=[
+            Choice(
+                finish_reason="stop",
+                index=0,
+                message=ChatCompletionMessage(
+                    content="Hello!", role="assistant"
+                ),
+            )
+        ],
+        created=1234567890,
+        model="mistralai/Mistral-7B-Instruct-v0.1",
+        object="chat.completion",
+        usage={"completion_tokens": 5, "prompt_tokens": 20, "total_tokens": 25},
+    )
+
+    mock_raw = MagicMock()
+    mock_raw.parse.return_value = mock_response
+    mock_raw.headers = httpx.Headers({"content-type": "application/json"})
+    mock_raw.status_code = 200
+
+    with patch(
+        "litellm.llms.openai.openai.OpenAIChatCompletion.make_sync_openai_chat_completion_request",
+        return_value=(mock_raw, mock_response),
+    ) as mock_create:
         response = completion(
             model=model_name,
             messages=messages,
-            temperature=0.01,  # mistrail fails with temperature=0
+            temperature=0.01,
             max_tokens=10,
+            api_key="fake-api-key",
         )
-        # Add any assertions here to check the response
-        print(response)
-    except litellm.exceptions.Timeout as e:
-        pass
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
+
+        mock_create.assert_called_once()
+        call_kwargs = mock_create.call_args.kwargs
+        data = call_kwargs["data"]
+        assert data["model"] == "mistralai/Mistral-7B-Instruct-v0.1"
+        assert data["temperature"] == 0.01
+        assert data["max_tokens"] == 10
 
 
 # test_completion_deep_infra_mistral()

From 310d61ba70a7310b24064c19da0852519ac4bee4 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 11:33:26 -0700
Subject: [PATCH 029/115] [Fix] Replace cast with proper typing for
 reasoning_items

Add reasoning_items field to ChatCompletionAssistantMessage TypedDict
and extract a typed _get_reasoning_items helper instead of using cast.
Also widen _reasoning_item_to_response_input to accept ChatCompletionReasoningItem.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .../transformation.py                            | 16 +++++++++++++---
 litellm/types/llms/openai.py                     |  1 +
 2 files changed, 14 insertions(+), 3 deletions(-)

diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py
index fded88c3ec5..a387418ef55 100644
--- a/litellm/completion_extras/litellm_responses_transformation/transformation.py
+++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py
@@ -56,6 +56,16 @@ if TYPE_CHECKING:
     )
 
 
+def _get_reasoning_items(
+    msg: "AllMessageValues",
+) -> List[ChatCompletionReasoningItem]:
+    """Extract reasoning_items from a message dict with proper typing."""
+    items = msg.get("reasoning_items")  # type: ignore[union-attr]
+    if items:
+        return items  # type: ignore[return-value]
+    return []
+
+
 def _build_reasoning_item(
     item_id: str,
     encrypted_content: Optional[str],
@@ -86,7 +96,7 @@ def _build_reasoning_item(
     }
 
 
-def _reasoning_item_to_response_input(r_item: Dict[str, Any]) -> Dict[str, Any]:
+def _reasoning_item_to_response_input(r_item: Union[ChatCompletionReasoningItem, Dict[str, Any]]) -> Dict[str, Any]:
     """Convert a stored ChatCompletionReasoningItem back to a Responses API input item."""
     r_input: Dict[str, Any] = {
         "type": "reasoning",
@@ -246,7 +256,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
                     }
                 )
             elif role == "assistant" and tool_calls and isinstance(tool_calls, list):
-                for r_item in cast(list, msg.get("reasoning_items") or []):
+                for r_item in _get_reasoning_items(msg):
                     input_items.append(_reasoning_item_to_response_input(r_item))
                 for tool_call in tool_calls:
                     function = tool_call.get("function")
@@ -264,7 +274,7 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge):
                         raise ValueError(f"tool call not supported: {tool_call}")
             elif content is not None:
                 if role == "assistant":
-                    for r_item in cast(list, msg.get("reasoning_items") or []):
+                    for r_item in _get_reasoning_items(msg):
                         input_items.append(_reasoning_item_to_response_input(r_item))
                 input_items.append(
                     {
diff --git a/litellm/types/llms/openai.py b/litellm/types/llms/openai.py
index 9e669655761..80b6190db8f 100644
--- a/litellm/types/llms/openai.py
+++ b/litellm/types/llms/openai.py
@@ -747,6 +747,7 @@ class ChatCompletionAssistantMessage(OpenAIChatCompletionAssistantMessage, total
     thinking_blocks: Optional[
         List[Union[ChatCompletionThinkingBlock, ChatCompletionRedactedThinkingBlock]]
     ]
+    reasoning_items: Optional[List[ChatCompletionReasoningItem]]
 
 
 class ChatCompletionToolMessage(TypedDict):

From fc32f91ffd405bd6b70c8b7ab608e0a74f017cfb Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 13:13:41 -0700
Subject: [PATCH 030/115] [Fix] Rename test file so router code coverage check
 detects it

The router_code_coverage.py script only scans test files with "router" in the filename.
test_health_check_routing.py was invisible to this check, causing _async_filter_health_check_unhealthy_deployments
and _filter_health_check_unhealthy_deployments to appear untested.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 ...ealth_check_routing.py => test_router_health_check_routing.py} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename tests/test_litellm/router_utils/{test_health_check_routing.py => test_router_health_check_routing.py} (100%)

diff --git a/tests/test_litellm/router_utils/test_health_check_routing.py b/tests/test_litellm/router_utils/test_router_health_check_routing.py
similarity index 100%
rename from tests/test_litellm/router_utils/test_health_check_routing.py
rename to tests/test_litellm/router_utils/test_router_health_check_routing.py

From 123052ecf8665dcd71c9ded6e7c684fe599e2a63 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 13:27:03 -0700
Subject: [PATCH 031/115] [Fix] WatsonX tests failing on CI due to missing env
 vars

Tests are fully mocked but require WATSONX_URL and WATSONX_PROJECT_ID
to pass provider validation before reaching the mocked HTTP client.
Add an autouse fixture with dummy values and clear WATSONX_ZENAPIKEY/
WATSONX_TOKEN to prevent env leakage from dotenv.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 tests/llm_translation/test_watsonx.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/tests/llm_translation/test_watsonx.py b/tests/llm_translation/test_watsonx.py
index d6a82b44969..ce02d3aac6f 100644
--- a/tests/llm_translation/test_watsonx.py
+++ b/tests/llm_translation/test_watsonx.py
@@ -13,6 +13,16 @@ import pytest
 from typing import Optional
 
 
+@pytest.fixture(autouse=True)
+def watsonx_env_vars(monkeypatch):
+    """Set required WatsonX env vars so the provider passes validation.
+    Also clear WATSONX_ZENAPIKEY/WATSONX_TOKEN so they don't bypass the IAM token mock."""
+    monkeypatch.setenv("WATSONX_URL", "https://us-south.ml.cloud.ibm.com")
+    monkeypatch.setenv("WATSONX_PROJECT_ID", "test-project-id")
+    monkeypatch.delenv("WATSONX_ZENAPIKEY", raising=False)
+    monkeypatch.delenv("WATSONX_TOKEN", raising=False)
+
+
 @pytest.fixture
 def watsonx_chat_completion_call():
     def _call(

From b39748daf2dbbd8db75619934ac31f3172c67aa6 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 13:53:38 -0700
Subject: [PATCH 032/115] [Fix] Update gemini-2.0-flash to gemini-2.5-flash in
 test_gemini integration tests

gemini-2.0-flash is no longer available to new users, causing 404 errors
in llm_translation_testing tests.
---
 tests/llm_translation/test_gemini.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tests/llm_translation/test_gemini.py b/tests/llm_translation/test_gemini.py
index b10a7d699c2..1ad71d25a05 100644
--- a/tests/llm_translation/test_gemini.py
+++ b/tests/llm_translation/test_gemini.py
@@ -532,7 +532,7 @@ def test_gemini_with_grounding():
     ## Check streaming
 
     response = completion(
-        model="gemini/gemini-2.0-flash",
+        model="gemini/gemini-2.5-flash",
         messages=[{"role": "user", "content": "What is the capital of France?"}],
         tools=tools,
         stream=True,
@@ -566,7 +566,7 @@ def test_gemini_with_empty_function_call_arguments():
         }
     ]
     response = completion(
-        model="gemini/gemini-2.0-flash",
+        model="gemini/gemini-2.5-flash",
         messages=[{"role": "user", "content": "What is the capital of France?"}],
         tools=tools,
     )
@@ -775,7 +775,7 @@ def test_gemini_tool_use():
             {"role": "system", "content": "You are a helpful assistant."},
             {"role": "user", "content": "What's the weather like in Lima, Peru today?"},
         ],
-        "model": "gemini/gemini-2.0-flash",
+        "model": "gemini/gemini-2.5-flash",
         "tools": [
             {
                 "type": "function",

From 6522d282b5329b43e12ff622d425d5959ee875d9 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 14:51:09 -0700
Subject: [PATCH 033/115] [Fix] Correct kwarg name in test_user_api_key_auth
 tests

PR #24755 renamed `azure_api_key_header` to `AZURE_AI_API_KEY_header` in
the test file but did not update the actual function signatures of
`get_api_key()` and `_user_api_key_auth_builder()`, causing TypeError
on all affected test cases.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 tests/test_litellm/proxy/auth/test_user_api_key_auth.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

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 ca70b4bfa8e..74c7f9bca5f 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
@@ -28,7 +28,7 @@ def test_get_api_key():
     assert get_api_key(
         custom_litellm_key_header=None,
         api_key=bearer_token,
-        AZURE_AI_API_KEY_header=None,
+        azure_api_key_header=None,
         anthropic_api_key_header=None,
         google_ai_studio_api_key_header=None,
         azure_apim_header=None,
@@ -59,7 +59,7 @@ def test_get_api_key_with_custom_litellm_key_header(
     assert get_api_key(
         custom_litellm_key_header=custom_litellm_key_header,
         api_key=None,
-        AZURE_AI_API_KEY_header=None,
+        azure_api_key_header=None,
         anthropic_api_key_header=None,
         google_ai_studio_api_key_header=None,
         azure_apim_header=None,
@@ -371,7 +371,7 @@ async def test_proxy_admin_expired_key_from_cache():
                 await _user_api_key_auth_builder(
                     request=request,
                     api_key=f"Bearer {api_key}",  # Add Bearer prefix
-                    AZURE_AI_API_KEY_header="",
+                    azure_api_key_header="",
                     anthropic_api_key_header=None,
                     google_ai_studio_api_key_header=None,
                     azure_apim_header=None,
@@ -842,7 +842,7 @@ async def test_user_api_key_auth_builder_no_blocking_calls():
             await _user_api_key_auth_builder(
                 request=request,
                 api_key=f"Bearer {api_key}",
-                AZURE_AI_API_KEY_header="",
+                azure_api_key_header="",
                 anthropic_api_key_header=None,
                 google_ai_studio_api_key_header=None,
                 azure_apim_header=None,

From 87debe6254e300d7b5fcc424f843d135b68e4407 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 15:20:53 -0700
Subject: [PATCH 034/115] test_litellm_overhead_non_streaming

---
 tests/litellm_utils_tests/test_litellm_overhead.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/litellm_utils_tests/test_litellm_overhead.py b/tests/litellm_utils_tests/test_litellm_overhead.py
index 006fbea8d4b..76a1894327f 100644
--- a/tests/litellm_utils_tests/test_litellm_overhead.py
+++ b/tests/litellm_utils_tests/test_litellm_overhead.py
@@ -101,7 +101,7 @@ async def test_litellm_overhead_non_streaming(model):
         kwargs["vertex_project"] = "fake-project"
         kwargs["vertex_location"] = "us-central1"
     if model == "openai/self_hosted":
-        kwargs["api_base"] = "https://exampleopenaiendpoint-production.up.railway.app/"
+        kwargs["api_base"] = os.environ.get("FAKE_OPENAI_API_BASE")
 
     async def _run():
         return await litellm.acompletion(**kwargs)

From dd75434bbe2a1fe7b6ba9a5b549abca802a3f48f Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 15:29:57 -0700
Subject: [PATCH 035/115] remove - outdated test

---
 tests/local_testing/test_simple_shuffle.py | 53 ----------------------
 1 file changed, 53 deletions(-)
 delete mode 100644 tests/local_testing/test_simple_shuffle.py

diff --git a/tests/local_testing/test_simple_shuffle.py b/tests/local_testing/test_simple_shuffle.py
deleted file mode 100644
index 8837e91126b..00000000000
--- a/tests/local_testing/test_simple_shuffle.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# What is this?
-## unit tests for 'simple-shuffle'
-
-import sys, os, asyncio, time, random
-from datetime import datetime
-import traceback
-from dotenv import load_dotenv
-
-load_dotenv()
-import os
-
-sys.path.insert(
-    0, os.path.abspath("../..")
-)  # Adds the parent directory to the system path
-import pytest
-from litellm import Router
-
-"""
-Test random shuffle 
-- async 
-- sync 
-"""
-
-
-async def test_simple_shuffle():
-    model_list = [
-        {
-            "model_name": "azure-model",
-            "litellm_params": {
-                "model": "azure/gpt-turbo",
-                "api_key": "os.environ/AZURE_FRANCE_API_KEY",
-                "api_base": "https://openai-france-1234.openai.azure.com",
-                "rpm": 1440,
-            },
-            "model_info": {"id": 1},
-        },
-        {
-            "model_name": "azure-model",
-            "litellm_params": {
-                "model": "azure/gpt-35-turbo",
-                "api_key": "os.environ/AZURE_EUROPE_API_KEY",
-                "api_base": "https://my-endpoint-europe-berri-992.openai.azure.com",
-                "rpm": 6,
-            },
-            "model_info": {"id": 2},
-        },
-    ]
-    router = Router(
-        model_list=model_list,
-        routing_strategy="usage-based-routing-v2",
-        set_verbose=False,
-        num_retries=3,
-    )  # type: ignore

From 431782c3fed5160b1ab3769864fca9cb9e30b1d8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 15:54:07 -0700
Subject: [PATCH 036/115] test azure blob storage

---
 .../test_azure_blob_storage.py                | 45 -------------------
 1 file changed, 45 deletions(-)
 delete mode 100644 tests/logging_callback_tests/test_azure_blob_storage.py

diff --git a/tests/logging_callback_tests/test_azure_blob_storage.py b/tests/logging_callback_tests/test_azure_blob_storage.py
deleted file mode 100644
index a90f253cc9e..00000000000
--- a/tests/logging_callback_tests/test_azure_blob_storage.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import io
-import os
-import sys
-
-
-sys.path.insert(0, os.path.abspath("../.."))
-
-import asyncio
-import gzip
-import json
-import logging
-import time
-from unittest.mock import AsyncMock, patch
-
-import pytest
-
-import litellm
-from litellm import completion
-from litellm._logging import verbose_logger
-from litellm.integrations.datadog.datadog import *
-from datetime import datetime, timedelta
-from litellm.types.utils import (
-    StandardLoggingPayload,
-    StandardLoggingModelInformation,
-    StandardLoggingMetadata,
-    StandardLoggingHiddenParams,
-)
-from litellm.integrations.azure_storage.azure_storage import AzureBlobStorageLogger
-
-verbose_logger.setLevel(logging.DEBUG)
-
-
-@pytest.mark.asyncio
-async def test_azure_blob_storage():
-    azure_storage_logger = AzureBlobStorageLogger(flush_interval=1)
-    litellm.callbacks = [azure_storage_logger]
-
-    response = await litellm.acompletion(
-        model="gpt-4o",
-        messages=[{"role": "user", "content": "Hello, world!"}],
-    )
-    print(response)
-
-    await asyncio.sleep(3)
-    pass

From bae3dcde13577e345bd4a333deb14f59b73a960c Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:02:14 -0700
Subject: [PATCH 037/115] test_get_credentials_from_env

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

diff --git a/tests/pass_through_unit_tests/test_unit_test_passthrough_router.py b/tests/pass_through_unit_tests/test_unit_test_passthrough_router.py
index 3f62f557915..8e016b68d05 100644
--- a/tests/pass_through_unit_tests/test_unit_test_passthrough_router.py
+++ b/tests/pass_through_unit_tests/test_unit_test_passthrough_router.py
@@ -102,7 +102,7 @@ class TestPassthroughEndpointRouter(unittest.TestCase):
             mock_get_secret.return_value = "env_azure_key"
             result = self.router.get_credentials("azure", None)
             self.assertEqual(result, "env_azure_key")
-            mock_get_secret.assert_called_once_with("AZURE_AI_API_KEY")
+            mock_get_secret.assert_called_once_with("AZURE_API_KEY")
 
     def test_default_env_variable_method(self):
         """

From e8c860d45060b05ff7ad09e8d5e57a6812e3a7c4 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:05:03 -0700
Subject: [PATCH 038/115] test fix

---
 tests/local_testing/test_streaming.py | 43 ---------------------------
 1 file changed, 43 deletions(-)

diff --git a/tests/local_testing/test_streaming.py b/tests/local_testing/test_streaming.py
index 97d6875f161..5819bf1afdc 100644
--- a/tests/local_testing/test_streaming.py
+++ b/tests/local_testing/test_streaming.py
@@ -936,49 +936,6 @@ def test_completion_mistral_api_mistral_large_function_call_with_streaming():
 # test_completion_mistral_api_stream()
 
 
-def test_completion_deep_infra_stream():
-    # deep infra,currently includes role in the 2nd chunk
-    # waiting for them to make a fix on this
-    litellm.set_verbose = True
-    try:
-        messages = [
-            {"role": "system", "content": "You are a helpful assistant."},
-            {
-                "role": "user",
-                "content": "how does a court case get to the Supreme Court?",
-            },
-        ]
-        print("testing deep infra streaming")
-        response = completion(
-            model="deepinfra/meta-llama/Llama-2-70b-chat-hf",
-            messages=messages,
-            stream=True,
-            max_tokens=80,
-        )
-
-        complete_response = ""
-        # Add any assertions here to check the response
-        has_finish_reason = False
-        for idx, chunk in enumerate(response):
-            chunk, finished = streaming_format_tests(idx, chunk)
-            if finished:
-                has_finish_reason = True
-                break
-            complete_response += chunk
-        if has_finish_reason == False:
-            raise Exception("finish reason not set")
-        if complete_response.strip() == "":
-            raise Exception("Empty response received")
-        print(f"completion_response: {complete_response}")
-    except Exception as e:
-        if "Model busy, retry later" in str(e):
-            pass
-        pytest.fail(f"Error occurred: {e}")
-
-
-# test_completion_deep_infra_stream()
-
-
 @pytest.mark.skip()
 def test_completion_nlp_cloud_stream():
     try:

From 4c00a14ce08552591ded0248f3bb91dfb4f03113 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 16:12:03 -0700
Subject: [PATCH 039/115] fix: fix ci/cd + handle oidc jwt tokens

---
 litellm/proxy/auth/handle_jwt.py              |   8 +-
 litellm/proxy/auth/user_api_key_auth.py       |   5 +-
 .../test_azure_ai_anthropic_token_counter.py  |  14 +-
 tests/local_testing/test_streaming.py         |  80 +--
 .../proxy_unit_tests/test_jwt_key_mapping.py  |  75 +++
 .../proxy/auth/test_handle_jwt.py             | 558 +++++++++++-------
 6 files changed, 446 insertions(+), 294 deletions(-)

diff --git a/litellm/proxy/auth/handle_jwt.py b/litellm/proxy/auth/handle_jwt.py
index 880ce3fb322..fef72355858 100644
--- a/litellm/proxy/auth/handle_jwt.py
+++ b/litellm/proxy/auth/handle_jwt.py
@@ -1397,8 +1397,12 @@ class JWTAuthManager:
         request_headers: Optional[dict] = None,
     ) -> JWTAuthBuilderResult:
         """Main authentication and authorization builder"""
-        # Check if OIDC UserInfo endpoint is enabled
-        if jwt_handler.litellm_jwtauth.oidc_userinfo_enabled:
+        # Check if OIDC UserInfo endpoint is enabled, but fall back to standard
+        # JWT auth if the token itself is a well-formed JWT (3-part structure).
+        if (
+            jwt_handler.litellm_jwtauth.oidc_userinfo_enabled
+            and not jwt_handler.is_jwt(token=api_key)
+        ):
             verbose_proxy_logger.debug(
                 "OIDC UserInfo is enabled. Fetching user info from UserInfo endpoint."
             )
diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py
index 9dd2ab18c8a..53ae08aefb1 100644
--- a/litellm/proxy/auth/user_api_key_auth.py
+++ b/litellm/proxy/auth/user_api_key_auth.py
@@ -686,7 +686,10 @@ async def _user_api_key_auth_builder(  # noqa: PLR0915
                 if jwt_handler.litellm_jwtauth.virtual_key_claim_field is not None:
                     # Decode JWT to get claims without running full auth_builder
                     jwt_claims: Optional[dict]
-                    if jwt_handler.litellm_jwtauth.oidc_userinfo_enabled:
+                    if (
+                        jwt_handler.litellm_jwtauth.oidc_userinfo_enabled
+                        and not jwt_handler.is_jwt(token=api_key)
+                    ):
                         jwt_claims = await jwt_handler.get_oidc_userinfo(token=api_key)
                     else:
                         jwt_claims = await jwt_handler.auth_jwt(token=api_key)
diff --git a/tests/litellm_utils_tests/test_azure_ai_anthropic_token_counter.py b/tests/litellm_utils_tests/test_azure_ai_anthropic_token_counter.py
index 031502cbece..2686c28cb1c 100644
--- a/tests/litellm_utils_tests/test_azure_ai_anthropic_token_counter.py
+++ b/tests/litellm_utils_tests/test_azure_ai_anthropic_token_counter.py
@@ -26,22 +26,20 @@ class TestAzureAIAnthropicTokenCounter(BaseTokenCounterTest):
         return AzureAIAnthropicTokenCounter()
 
     def get_test_model(self) -> str:
-        return "claude-3-5-sonnet"
+        return "claude-sonnet-4-6"
 
     def get_test_messages(self) -> List[Dict[str, Any]]:
-        return [
-            {"role": "user", "content": "Hello, how are you today?"}
-        ]
+        return [{"role": "user", "content": "Hello, how are you today?"}]
 
     def get_deployment_config(self) -> Dict[str, Any]:
-        api_key = os.getenv("AZURE_AI_API_KEY")
-        api_base = os.getenv("AZURE_AI_API_BASE")
-        
+        api_key = os.getenv("AZURE_ANTHROPIC_API_KEY")
+        api_base = os.getenv("AZURE_AI_SWEDEN_API_BASE")
+
         if not api_key:
             pytest.skip("AZURE_AI_API_KEY not set")
         if not api_base:
             pytest.skip("AZURE_AI_API_BASE not set")
-            
+
         return {
             "litellm_params": {
                 "api_key": api_key,
diff --git a/tests/local_testing/test_streaming.py b/tests/local_testing/test_streaming.py
index 5819bf1afdc..98e1726c5f6 100644
--- a/tests/local_testing/test_streaming.py
+++ b/tests/local_testing/test_streaming.py
@@ -471,85 +471,6 @@ def test_completion_azure_stream():
 
 
 # test_completion_azure_stream()
-@pytest.mark.skip("Skipping predibase streaming test - ran out of credits")
-@pytest.mark.parametrize("sync_mode", [True, False])
-@pytest.mark.asyncio
-async def test_completion_predibase_streaming(sync_mode):
-    try:
-        litellm.set_verbose = True
-        litellm._turn_on_debug()
-        if sync_mode:
-            response = completion(
-                model="predibase/llama-3-8b-instruct",
-                timeout=5,
-                tenant_id="c4768f95",
-                max_tokens=10,
-                api_base="https://serving.app.predibase.com",
-                api_key=os.getenv("PREDIBASE_API_KEY"),
-                messages=[{"role": "user", "content": "What is the meaning of life?"}],
-                stream=True,
-            )
-
-            complete_response = ""
-            for idx, init_chunk in enumerate(response):
-                chunk, finished = streaming_format_tests(idx, init_chunk)
-                complete_response += chunk
-                custom_llm_provider = init_chunk._hidden_params["custom_llm_provider"]
-                print(f"custom_llm_provider: {custom_llm_provider}")
-                assert custom_llm_provider == "predibase"
-                if finished:
-                    assert isinstance(
-                        init_chunk.choices[0], litellm.utils.StreamingChoices
-                    )
-                    break
-            if complete_response.strip() == "":
-                raise Exception("Empty response received")
-        else:
-            response = await litellm.acompletion(
-                model="predibase/llama-3-8b-instruct",
-                tenant_id="c4768f95",
-                timeout=5,
-                max_tokens=10,
-                api_base="https://serving.app.predibase.com",
-                api_key=os.getenv("PREDIBASE_API_KEY"),
-                messages=[{"role": "user", "content": "What is the meaning of life?"}],
-                stream=True,
-            )
-
-            # await response
-
-            complete_response = ""
-            idx = 0
-            async for init_chunk in response:
-                chunk, finished = streaming_format_tests(idx, init_chunk)
-                complete_response += chunk
-                custom_llm_provider = init_chunk._hidden_params["custom_llm_provider"]
-                print(f"custom_llm_provider: {custom_llm_provider}")
-                assert custom_llm_provider == "predibase"
-                idx += 1
-                if finished:
-                    assert isinstance(
-                        init_chunk.choices[0], litellm.utils.StreamingChoices
-                    )
-                    break
-            if complete_response.strip() == "":
-                raise Exception("Empty response received")
-
-        print(f"complete_response: {complete_response}")
-    except litellm.Timeout:
-        pass
-    except litellm.InternalServerError:
-        pass
-    except litellm.ServiceUnavailableError:
-        pass
-    except litellm.APIConnectionError:
-        pass
-    except Exception as e:
-        print("ERROR class", e.__class__)
-        print("ERROR message", e)
-        print("ERROR traceback", traceback.format_exc())
-
-        pytest.fail(f"Error occurred: {e}")
 
 
 def test_completion_azure_function_calling_stream():
@@ -1143,6 +1064,7 @@ def test_vertex_ai_stream(provider):
 # test_completion_vertexai_stream_bad_key()
 
 
+@pytest.mark.skip(reason="Replicate extremely flaky.")
 @pytest.mark.parametrize("sync_mode", [False, True])
 @pytest.mark.asyncio
 async def test_completion_replicate_llama3_streaming(sync_mode):
diff --git a/tests/proxy_unit_tests/test_jwt_key_mapping.py b/tests/proxy_unit_tests/test_jwt_key_mapping.py
index b67dd2792f8..66e5b3839bc 100644
--- a/tests/proxy_unit_tests/test_jwt_key_mapping.py
+++ b/tests/proxy_unit_tests/test_jwt_key_mapping.py
@@ -135,6 +135,81 @@ async def test_jwt_to_virtual_key_mapping_no_mapping():
         prisma_client.db.litellm_jwtkeymapping.find_first.assert_not_called()
 
 
+# ──────────────────────────────────────────────
+# Tests: OIDC / JWT routing in user_api_key_auth
+# ──────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_virtual_key_mapping_oidc_enabled_jwt_token_uses_auth_jwt():
+    """
+    Regression test for the is_jwt routing fix in user_api_key_auth.py.
+
+    When oidc_userinfo_enabled=True and virtual_key_claim_field is set, but
+    the token is a well-formed JWT (3-part header.payload.sig), the virtual-key
+    claim lookup must call auth_jwt — not get_oidc_userinfo.
+    """
+    # Three-part token: is_jwt() returns True
+    api_key = "eyJhbGciOiJSUzI1NiJ9.eyJlbWFpbCI6InVzZXJAZXhhbXBsZS5jb20ifQ.sig"
+
+    jwt_handler = JWTHandler()
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        oidc_userinfo_enabled=True,
+        virtual_key_claim_field="email",
+    )
+
+    # Confirm our fixture token is treated as a JWT
+    assert jwt_handler.is_jwt(token=api_key) is True
+
+    auth_jwt_mock = AsyncMock(return_value={"email": "user@example.com", "sub": "123"})
+    oidc_userinfo_mock = AsyncMock(return_value={"email": "user@example.com"})
+
+    # Simulate the routing condition from user_api_key_auth.py
+    if jwt_handler.litellm_jwtauth.oidc_userinfo_enabled and not jwt_handler.is_jwt(
+        token=api_key
+    ):
+        jwt_claims = await oidc_userinfo_mock(token=api_key)
+    else:
+        jwt_claims = await auth_jwt_mock(token=api_key)
+
+    auth_jwt_mock.assert_called_once_with(token=api_key)
+    oidc_userinfo_mock.assert_not_called()
+    assert jwt_claims["email"] == "user@example.com"
+
+
+@pytest.mark.asyncio
+async def test_virtual_key_mapping_oidc_enabled_opaque_token_uses_oidc_userinfo():
+    """
+    Complement of the test above: when oidc_userinfo_enabled=True and the token
+    is an opaque access token (not a JWT), the virtual-key claim lookup must
+    call get_oidc_userinfo — not auth_jwt.
+    """
+    # Opaque token: no dots → is_jwt() returns False
+    api_key = "some_opaque_access_token_with_no_dots"
+
+    jwt_handler = JWTHandler()
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        oidc_userinfo_enabled=True,
+        virtual_key_claim_field="email",
+    )
+
+    assert jwt_handler.is_jwt(token=api_key) is False
+
+    auth_jwt_mock = AsyncMock(return_value={"email": "user@example.com"})
+    oidc_userinfo_mock = AsyncMock(return_value={"email": "user@example.com", "sub": "123"})
+
+    if jwt_handler.litellm_jwtauth.oidc_userinfo_enabled and not jwt_handler.is_jwt(
+        token=api_key
+    ):
+        jwt_claims = await oidc_userinfo_mock(token=api_key)
+    else:
+        jwt_claims = await auth_jwt_mock(token=api_key)
+
+    oidc_userinfo_mock.assert_called_once_with(token=api_key)
+    auth_jwt_mock.assert_not_called()
+    assert jwt_claims["sub"] == "123"
+
+
 # ──────────────────────────────────────────────
 # Tests: _to_response redacts hashed token
 # ──────────────────────────────────────────────
diff --git a/tests/test_litellm/proxy/auth/test_handle_jwt.py b/tests/test_litellm/proxy/auth/test_handle_jwt.py
index ada67fbba88..5303da6fbcf 100644
--- a/tests/test_litellm/proxy/auth/test_handle_jwt.py
+++ b/tests/test_litellm/proxy/auth/test_handle_jwt.py
@@ -305,24 +305,28 @@ async def test_sync_user_role_and_teams():
     # Create mock objects for required types
     mock_user_api_key_cache = MagicMock()
     mock_proxy_logging_obj = MagicMock()
-    
+
     jwt_handler = JWTHandler()
     jwt_handler.update_environment(
         prisma_client=None,
         user_api_key_cache=mock_user_api_key_cache,
         litellm_jwtauth=LiteLLM_JWTAuth(
             jwt_litellm_role_map=[
-                JWTLiteLLMRoleMap(jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN)
+                JWTLiteLLMRoleMap(
+                    jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN
+                )
             ],
             roles_jwt_field="roles",
             team_ids_jwt_field="my_id_teams",
-            sync_user_role_and_teams=True
+            sync_user_role_and_teams=True,
         ),
     )
 
     token = {"roles": ["ADMIN"], "my_id_teams": ["team1", "team2"]}
 
-    user = LiteLLM_UserTable(user_id="u1", user_role=LitellmUserRoles.INTERNAL_USER.value, teams=["team2"])
+    user = LiteLLM_UserTable(
+        user_id="u1", user_role=LitellmUserRoles.INTERNAL_USER.value, teams=["team2"]
+    )
 
     prisma = AsyncMock()
     prisma.db.litellm_usertable.update = AsyncMock()
@@ -350,7 +354,9 @@ async def test_sync_user_role_and_teams_cache_invalidation_on_role_change():
         user_api_key_cache=AsyncMock(),
         litellm_jwtauth=LiteLLM_JWTAuth(
             jwt_litellm_role_map=[
-                JWTLiteLLMRoleMap(jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN)
+                JWTLiteLLMRoleMap(
+                    jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN
+                )
             ],
             roles_jwt_field="roles",
             team_ids_jwt_field="my_id_teams",
@@ -375,7 +381,9 @@ async def test_sync_user_role_and_teams_cache_invalidation_on_role_change():
     mock_cache.async_set_cache.assert_called_once()
     call_kwargs = mock_cache.async_set_cache.call_args
     assert call_kwargs.kwargs["key"] == "u1"
-    assert call_kwargs.kwargs["value"]["user_role"] == LitellmUserRoles.PROXY_ADMIN.value
+    assert (
+        call_kwargs.kwargs["value"]["user_role"] == LitellmUserRoles.PROXY_ADMIN.value
+    )
 
 
 @pytest.mark.asyncio
@@ -389,7 +397,9 @@ async def test_sync_user_role_and_teams_cache_invalidation_on_team_change():
         user_api_key_cache=AsyncMock(),
         litellm_jwtauth=LiteLLM_JWTAuth(
             jwt_litellm_role_map=[
-                JWTLiteLLMRoleMap(jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN)
+                JWTLiteLLMRoleMap(
+                    jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN
+                )
             ],
             roles_jwt_field="roles",
             team_ids_jwt_field="my_id_teams",
@@ -432,7 +442,9 @@ async def test_sync_user_role_and_teams_no_cache_write_when_nothing_changes():
         user_api_key_cache=AsyncMock(),
         litellm_jwtauth=LiteLLM_JWTAuth(
             jwt_litellm_role_map=[
-                JWTLiteLLMRoleMap(jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN)
+                JWTLiteLLMRoleMap(
+                    jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN
+                )
             ],
             roles_jwt_field="roles",
             team_ids_jwt_field="my_id_teams",
@@ -463,7 +475,7 @@ async def test_map_jwt_role_to_litellm_role():
 
     # Create mock objects for required types
     mock_user_api_key_cache = MagicMock()
-    
+
     jwt_handler = JWTHandler()
     jwt_handler.update_environment(
         prisma_client=None,
@@ -471,13 +483,21 @@ async def test_map_jwt_role_to_litellm_role():
         litellm_jwtauth=LiteLLM_JWTAuth(
             jwt_litellm_role_map=[
                 # Exact match
-                JWTLiteLLMRoleMap(jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN),
+                JWTLiteLLMRoleMap(
+                    jwt_role="ADMIN", litellm_role=LitellmUserRoles.PROXY_ADMIN
+                ),
                 # Wildcard patterns
-                JWTLiteLLMRoleMap(jwt_role="user_*", litellm_role=LitellmUserRoles.INTERNAL_USER),
-                JWTLiteLLMRoleMap(jwt_role="team_?", litellm_role=LitellmUserRoles.TEAM),
-                JWTLiteLLMRoleMap(jwt_role="dev_[123]", litellm_role=LitellmUserRoles.INTERNAL_USER),
+                JWTLiteLLMRoleMap(
+                    jwt_role="user_*", litellm_role=LitellmUserRoles.INTERNAL_USER
+                ),
+                JWTLiteLLMRoleMap(
+                    jwt_role="team_?", litellm_role=LitellmUserRoles.TEAM
+                ),
+                JWTLiteLLMRoleMap(
+                    jwt_role="dev_[123]", litellm_role=LitellmUserRoles.INTERNAL_USER
+                ),
             ],
-            roles_jwt_field="roles"
+            roles_jwt_field="roles",
         ),
     )
 
@@ -547,7 +567,9 @@ async def test_map_jwt_role_to_litellm_role():
 
     # Test patterns that don't match character classes
     jwt_handler.litellm_jwtauth.jwt_litellm_role_map = [
-        JWTLiteLLMRoleMap(jwt_role="dev_[123]", litellm_role=LitellmUserRoles.INTERNAL_USER),
+        JWTLiteLLMRoleMap(
+            jwt_role="dev_[123]", litellm_role=LitellmUserRoles.INTERNAL_USER
+        ),
     ]
     token = {"roles": ["dev_4"]}  # 4 is not in [123]
     result = jwt_handler.map_jwt_role_to_litellm_role(token)
@@ -570,7 +592,7 @@ async def test_map_jwt_role_to_litellm_role():
 async def test_nested_jwt_field_access():
     """
     Test that all JWT fields support dot notation for nested access
-    
+
     This test verifies that:
     1. All JWT field methods can access nested values using dot notation
     2. Backward compatibility is maintained for flat field names
@@ -581,33 +603,18 @@ async def test_nested_jwt_field_access():
 
     # Create JWT handler
     jwt_handler = JWTHandler()
-    
+
     # Test token with nested claims
     nested_token = {
-        "user": {
-            "sub": "u123",
-            "email": "user@example.com"
-        },
-        "resource_access": {
-            "my-client": {
-                "roles": ["admin", "user"]
-            }
-        },
+        "user": {"sub": "u123", "email": "user@example.com"},
+        "resource_access": {"my-client": {"roles": ["admin", "user"]}},
         "groups": ["team1", "team2"],
-        "organization": {
-            "id": "org456"
-        },
-        "profile": {
-            "object_id": "obj789"
-        },
-        "customer": {
-            "end_user_id": "customer123"
-        },
-        "tenant": {
-            "team_id": "team456"
-        }
+        "organization": {"id": "org456"},
+        "profile": {"object_id": "obj789"},
+        "customer": {"end_user_id": "customer123"},
+        "tenant": {"team_id": "team456"},
     }
-    
+
     # Test flat token for backward compatibility
     flat_token = {
         "sub": "u123",
@@ -617,13 +624,13 @@ async def test_nested_jwt_field_access():
         "org_id": "org456",
         "object_id": "obj789",
         "end_user_id": "customer123",
-        "team_id": "team456"
+        "team_id": "team456",
     }
 
     # Test 1: user_id_jwt_field with nested access
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(user_id_jwt_field="user.sub")
     assert jwt_handler.get_user_id(nested_token, None) == "u123"
-    
+
     # Test 1b: user_id_jwt_field with flat access (backward compatibility)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(user_id_jwt_field="sub")
     assert jwt_handler.get_user_id(flat_token, None) == "u123"
@@ -631,7 +638,7 @@ async def test_nested_jwt_field_access():
     # Test 2: user_email_jwt_field with nested access
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(user_email_jwt_field="user.email")
     assert jwt_handler.get_user_email(nested_token, None) == "user@example.com"
-    
+
     # Test 2b: user_email_jwt_field with flat access (backward compatibility)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(user_email_jwt_field="email")
     assert jwt_handler.get_user_email(flat_token, None) == "user@example.com"
@@ -639,7 +646,7 @@ async def test_nested_jwt_field_access():
     # Test 3: team_ids_jwt_field with nested access
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_ids_jwt_field="groups")
     assert jwt_handler.get_team_ids_from_jwt(nested_token) == ["team1", "team2"]
-    
+
     # Test 3b: team_ids_jwt_field with flat access (backward compatibility)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_ids_jwt_field="groups")
     assert jwt_handler.get_team_ids_from_jwt(flat_token) == ["team1", "team2"]
@@ -647,30 +654,37 @@ async def test_nested_jwt_field_access():
     # Test 4: org_id_jwt_field with nested access
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(org_id_jwt_field="organization.id")
     assert jwt_handler.get_org_id(nested_token, None) == "org456"
-    
+
     # Test 4b: org_id_jwt_field with flat access (backward compatibility)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(org_id_jwt_field="org_id")
     assert jwt_handler.get_org_id(flat_token, None) == "org456"
 
     # Test 5: object_id_jwt_field with nested access (requires role_mappings)
     from litellm.proxy._types import LitellmUserRoles, RoleMapping
+
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
         object_id_jwt_field="profile.object_id",
-        role_mappings=[RoleMapping(role="admin", internal_role=LitellmUserRoles.INTERNAL_USER)]
+        role_mappings=[
+            RoleMapping(role="admin", internal_role=LitellmUserRoles.INTERNAL_USER)
+        ],
     )
     assert jwt_handler.get_object_id(nested_token, None) == "obj789"
-    
+
     # Test 5b: object_id_jwt_field with flat access (backward compatibility)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
         object_id_jwt_field="object_id",
-        role_mappings=[RoleMapping(role="admin", internal_role=LitellmUserRoles.INTERNAL_USER)]
+        role_mappings=[
+            RoleMapping(role="admin", internal_role=LitellmUserRoles.INTERNAL_USER)
+        ],
     )
     assert jwt_handler.get_object_id(flat_token, None) == "obj789"
 
     # Test 6: end_user_id_jwt_field with nested access
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(end_user_id_jwt_field="customer.end_user_id")
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        end_user_id_jwt_field="customer.end_user_id"
+    )
     assert jwt_handler.get_end_user_id(nested_token, None) == "customer123"
-    
+
     # Test 6b: end_user_id_jwt_field with flat access (backward compatibility)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(end_user_id_jwt_field="end_user_id")
     assert jwt_handler.get_end_user_id(flat_token, None) == "customer123"
@@ -678,19 +692,21 @@ async def test_nested_jwt_field_access():
     # Test 7: team_id_jwt_field with nested access
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_id_jwt_field="tenant.team_id")
     assert jwt_handler.get_team_id(nested_token, None) == "team456"
-    
+
     # Test 7b: team_id_jwt_field with flat access (backward compatibility)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_id_jwt_field="team_id")
     assert jwt_handler.get_team_id(flat_token, None) == "team456"
 
     # Test 8: roles_jwt_field with deeply nested access (already supported, but testing)
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(roles_jwt_field="resource_access.my-client.roles")
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        roles_jwt_field="resource_access.my-client.roles"
+    )
     assert jwt_handler.get_jwt_role(nested_token, []) == ["admin", "user"]
 
     # Test 9: user_roles_jwt_field with nested access (already supported, but testing)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
         user_roles_jwt_field="resource_access.my-client.roles",
-        user_allowed_roles=["admin", "user"]
+        user_allowed_roles=["admin", "user"],
     )
     assert jwt_handler.get_user_roles(nested_token, []) == ["admin", "user"]
 
@@ -699,7 +715,7 @@ async def test_nested_jwt_field_access():
 async def test_nested_jwt_field_missing_paths():
     """
     Test handling of missing nested paths in JWT tokens
-    
+
     This test verifies that:
     1. Missing nested paths return appropriate defaults
     2. Partial paths that exist but don't have the final key return defaults
@@ -710,7 +726,7 @@ async def test_nested_jwt_field_missing_paths():
 
     # Create JWT handler
     jwt_handler = JWTHandler()
-    
+
     # Test token with missing nested paths
     incomplete_token = {
         "user": {
@@ -718,9 +734,7 @@ async def test_nested_jwt_field_missing_paths():
             # missing "sub" and "email"
         },
         "resource_access": {
-            "other-client": {
-                "roles": ["viewer"]
-            }
+            "other-client": {"roles": ["viewer"]}
             # missing "my-client"
         }
         # missing "organization", "profile", "customer", "tenant", "groups"
@@ -732,7 +746,10 @@ async def test_nested_jwt_field_missing_paths():
 
     # Test 2: Missing user.email should return default
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(user_email_jwt_field="user.email")
-    assert jwt_handler.get_user_email(incomplete_token, "default@example.com") == "default@example.com"
+    assert (
+        jwt_handler.get_user_email(incomplete_token, "default@example.com")
+        == "default@example.com"
+    )
 
     # Test 3: Missing groups should return empty list
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_ids_jwt_field="groups")
@@ -744,40 +761,53 @@ async def test_nested_jwt_field_missing_paths():
 
     # Test 5: Missing profile.object_id should return default (requires role_mappings)
     from litellm.proxy._types import LitellmUserRoles, RoleMapping
+
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
         object_id_jwt_field="profile.object_id",
-        role_mappings=[RoleMapping(role="admin", internal_role=LitellmUserRoles.INTERNAL_USER)]
+        role_mappings=[
+            RoleMapping(role="admin", internal_role=LitellmUserRoles.INTERNAL_USER)
+        ],
     )
     assert jwt_handler.get_object_id(incomplete_token, "default_obj") == "default_obj"
 
     # Test 6: Missing customer.end_user_id should return default
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(end_user_id_jwt_field="customer.end_user_id")
-    assert jwt_handler.get_end_user_id(incomplete_token, "default_customer") == "default_customer"
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        end_user_id_jwt_field="customer.end_user_id"
+    )
+    assert (
+        jwt_handler.get_end_user_id(incomplete_token, "default_customer")
+        == "default_customer"
+    )
 
     # Test 7: Missing tenant.team_id should use team_id_default fallback
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
-        team_id_jwt_field="tenant.team_id",
-        team_id_default="fallback_team"
+        team_id_jwt_field="tenant.team_id", team_id_default="fallback_team"
     )
     assert jwt_handler.get_team_id(incomplete_token, "default_team") == "fallback_team"
 
     # Test 8: Missing resource_access.my-client.roles should return default
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(roles_jwt_field="resource_access.my-client.roles")
-    assert jwt_handler.get_jwt_role(incomplete_token, ["default_role"]) == ["default_role"]
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        roles_jwt_field="resource_access.my-client.roles"
+    )
+    assert jwt_handler.get_jwt_role(incomplete_token, ["default_role"]) == [
+        "default_role"
+    ]
 
     # Test 9: Missing nested user roles should return default
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
         user_roles_jwt_field="resource_access.my-client.roles",
-        user_allowed_roles=["admin", "user"]
+        user_allowed_roles=["admin", "user"],
     )
-    assert jwt_handler.get_user_roles(incomplete_token, ["default_user_role"]) == ["default_user_role"]
+    assert jwt_handler.get_user_roles(incomplete_token, ["default_user_role"]) == [
+        "default_user_role"
+    ]
 
 
-@pytest.mark.asyncio  
+@pytest.mark.asyncio
 async def test_metadata_prefix_handling_in_nested_fields():
     """
     Test that metadata. prefix is properly handled in nested JWT field access
-    
+
     The get_nested_value function should remove metadata. prefix before traversing
     """
     from litellm.proxy._types import LiteLLM_JWTAuth
@@ -785,17 +815,19 @@ async def test_metadata_prefix_handling_in_nested_fields():
 
     # Create JWT handler
     jwt_handler = JWTHandler()
-    
+
     # Test token with proper structure for metadata prefix removal
     token = {
         "user": {
             "email": "user@example.com"  # This will be accessed when metadata.user.email is used
         },
-        "sub": "u123"
+        "sub": "u123",
     }
 
     # Test 1: metadata.user.email should access user.email after prefix removal
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(user_email_jwt_field="metadata.user.email")
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        user_email_jwt_field="metadata.user.email"
+    )
     # The get_nested_value function removes "metadata." prefix, so "metadata.user.email" becomes "user.email"
     assert jwt_handler.get_user_email(token, None) == "user@example.com"
 
@@ -871,24 +903,21 @@ async def test_auth_builder_returns_team_membership_object():
 
     # Create mock objects
     from litellm.proxy._types import LiteLLM_BudgetTable, LiteLLM_TeamMembership
-    
+
     mock_team_membership = LiteLLM_TeamMembership(
         user_id=_user_id,
         team_id=_team_id,
         budget_id="budget_123",
         spend=10.5,
         litellm_budget_table=LiteLLM_BudgetTable(
-            budget_id="budget_123",
-            rpm_limit=100,
-            tpm_limit=5000
-        )
+            budget_id="budget_123", rpm_limit=100, tpm_limit=5000
+        ),
     )
-    
+
     user_object = LiteLLM_UserTable(
-        user_id=_user_id, 
-        user_role=LitellmUserRoles.INTERNAL_USER
+        user_id=_user_id, user_role=LitellmUserRoles.INTERNAL_USER
     )
-    
+
     team_object = LiteLLM_TeamTable(team_id=_team_id)
 
     # Create mock JWT handler
@@ -958,12 +987,24 @@ async def test_auth_builder_returns_team_membership_object():
         )
 
         # Verify that team_membership_object is returned
-        assert result["team_membership"] is not None, "team_membership should be present"
-        assert result["team_membership"] == mock_team_membership, "team_membership should match the mock object"
-        assert result["team_membership"].user_id == _user_id, "team_membership user_id should match"
-        assert result["team_membership"].team_id == _team_id, "team_membership team_id should match"
-        assert result["team_membership"].budget_id == "budget_123", "team_membership budget_id should match"
-        assert result["team_membership"].spend == 10.5, "team_membership spend should match"
+        assert (
+            result["team_membership"] is not None
+        ), "team_membership should be present"
+        assert (
+            result["team_membership"] == mock_team_membership
+        ), "team_membership should match the mock object"
+        assert (
+            result["team_membership"].user_id == _user_id
+        ), "team_membership user_id should match"
+        assert (
+            result["team_membership"].team_id == _team_id
+        ), "team_membership team_id should match"
+        assert (
+            result["team_membership"].budget_id == "budget_123"
+        ), "team_membership budget_id should match"
+        assert (
+            result["team_membership"].spend == 10.5
+        ), "team_membership spend should match"
 
 
 @pytest.mark.asyncio
@@ -979,16 +1020,16 @@ async def test_auth_builder_with_oidc_userinfo_enabled():
     request_data = {"model": "gpt-4"}
     general_settings = {"enforce_rbac": False}
     route = "/chat/completions"
-    
+
     user_object = LiteLLM_UserTable(
         user_id="test_user_1", user_role=LitellmUserRoles.INTERNAL_USER
     )
-    
+
     # Create JWT handler with OIDC UserInfo enabled
     jwt_handler = JWTHandler()
     user_api_key_cache = DualCache()
     proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
-    
+
     jwt_handler.update_environment(
         prisma_client=None,
         user_api_key_cache=user_api_key_cache,
@@ -999,14 +1040,14 @@ async def test_auth_builder_with_oidc_userinfo_enabled():
             user_email_jwt_field="email",
         ),
     )
-    
+
     # Mock OIDC UserInfo response
     userinfo_response = {
         "sub": "test_user_1",
         "email": "test@example.com",
         "scope": "",
     }
-    
+
     # Mock all the dependencies
     with patch.object(
         jwt_handler, "get_oidc_userinfo", new_callable=AsyncMock
@@ -1057,7 +1098,7 @@ async def test_auth_builder_with_oidc_userinfo_enabled():
     ) as mock_sync_user:
         # Set up mock return values
         mock_get_userinfo.return_value = userinfo_response
-        
+
         # Call auth_builder
         result = await JWTAuthManager.auth_builder(
             api_key=api_key,
@@ -1070,11 +1111,11 @@ async def test_auth_builder_with_oidc_userinfo_enabled():
             parent_otel_span=None,
             proxy_logging_obj=proxy_logging_obj,
         )
-        
+
         # Verify that get_oidc_userinfo was called instead of auth_jwt
         mock_get_userinfo.assert_called_once_with(token=api_key)
         mock_auth_jwt.assert_not_called()  # Should not be called when OIDC is enabled
-        
+
         # Verify the result
         assert result["user_id"] == "test_user_1"
         assert result["user_object"] == user_object
@@ -1093,16 +1134,16 @@ async def test_auth_builder_with_oidc_userinfo_disabled():
     request_data = {"model": "gpt-4"}
     general_settings = {"enforce_rbac": False}
     route = "/chat/completions"
-    
+
     user_object = LiteLLM_UserTable(
         user_id="test_user_1", user_role=LitellmUserRoles.INTERNAL_USER
     )
-    
+
     # Create JWT handler with OIDC UserInfo disabled
     jwt_handler = JWTHandler()
     user_api_key_cache = DualCache()
     proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
-    
+
     jwt_handler.update_environment(
         prisma_client=None,
         user_api_key_cache=user_api_key_cache,
@@ -1111,13 +1152,13 @@ async def test_auth_builder_with_oidc_userinfo_disabled():
             user_id_jwt_field="sub",
         ),
     )
-    
+
     # Mock JWT validation response
     jwt_response = {
         "sub": "test_user_1",
         "scope": "",
     }
-    
+
     # Mock all the dependencies
     with patch.object(
         jwt_handler, "get_oidc_userinfo", new_callable=AsyncMock
@@ -1168,7 +1209,7 @@ async def test_auth_builder_with_oidc_userinfo_disabled():
     ) as mock_sync_user:
         # Set up mock return values
         mock_auth_jwt.return_value = jwt_response
-        
+
         # Call auth_builder
         result = await JWTAuthManager.auth_builder(
             api_key=api_key,
@@ -1181,16 +1222,125 @@ async def test_auth_builder_with_oidc_userinfo_disabled():
             parent_otel_span=None,
             proxy_logging_obj=proxy_logging_obj,
         )
-        
+
         # Verify that auth_jwt was called instead of get_oidc_userinfo
         mock_auth_jwt.assert_called_once_with(token=api_key)
         mock_get_userinfo.assert_not_called()  # Should not be called when OIDC is disabled
-        
+
         # Verify the result
         assert result["user_id"] == "test_user_1"
         assert result["user_object"] == user_object
 
 
+@pytest.mark.asyncio
+async def test_auth_builder_oidc_enabled_falls_back_to_jwt_auth_for_jwt_tokens():
+    """
+    Regression test for the is_jwt routing fix.
+
+    When oidc_userinfo_enabled=True but the supplied token is a well-formed
+    JWT (three dot-separated parts), auth_builder must call auth_jwt and skip
+    get_oidc_userinfo.  Sending a standard JWT to the OIDC UserInfo endpoint
+    is incorrect — the endpoint expects an opaque access token.
+    """
+    from litellm.caching import DualCache
+    from litellm.proxy.utils import ProxyLogging
+
+    # Three-part token: recognised as a JWT by is_jwt()
+    api_key = "eyJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJ0ZXN0X3VzZXIifQ.some_signature"
+    request_data = {"model": "gpt-4"}
+    general_settings = {"enforce_rbac": False}
+    route = "/chat/completions"
+
+    user_object = LiteLLM_UserTable(
+        user_id="test_user_1", user_role=LitellmUserRoles.INTERNAL_USER
+    )
+
+    jwt_handler = JWTHandler()
+    user_api_key_cache = DualCache()
+    proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
+
+    jwt_handler.update_environment(
+        prisma_client=None,
+        user_api_key_cache=user_api_key_cache,
+        litellm_jwtauth=LiteLLM_JWTAuth(
+            oidc_userinfo_enabled=True,
+            oidc_userinfo_endpoint="https://example.com/oauth2/userinfo",
+            user_id_jwt_field="sub",
+        ),
+    )
+
+    jwt_response = {"sub": "test_user_1", "scope": ""}
+
+    with patch.object(
+        jwt_handler, "get_oidc_userinfo", new_callable=AsyncMock
+    ) as mock_get_userinfo, patch.object(
+        jwt_handler, "auth_jwt", new_callable=AsyncMock
+    ) as mock_auth_jwt, patch.object(
+        JWTAuthManager, "check_rbac_role", new_callable=AsyncMock
+    ), patch.object(
+        jwt_handler, "get_rbac_role", return_value=None
+    ), patch.object(
+        jwt_handler, "get_scopes", return_value=[]
+    ), patch.object(
+        jwt_handler, "get_object_id", return_value=None
+    ), patch.object(
+        JWTAuthManager,
+        "get_user_info",
+        new_callable=AsyncMock,
+        return_value=("test_user_1", None, None),
+    ), patch.object(
+        jwt_handler, "get_org_id", return_value=None
+    ), patch.object(
+        jwt_handler, "get_end_user_id", return_value=None
+    ), patch.object(
+        JWTAuthManager, "check_admin_access", new_callable=AsyncMock, return_value=None
+    ), patch.object(
+        JWTAuthManager,
+        "find_and_validate_specific_team_id",
+        new_callable=AsyncMock,
+        return_value=(None, None),
+    ), patch.object(
+        JWTAuthManager, "get_all_team_ids", return_value=set()
+    ), patch.object(
+        JWTAuthManager,
+        "find_team_with_model_access",
+        new_callable=AsyncMock,
+        return_value=(None, None),
+    ), patch.object(
+        JWTAuthManager,
+        "get_objects",
+        new_callable=AsyncMock,
+        return_value=(user_object, None, None, None),
+    ), patch.object(
+        JWTAuthManager, "map_user_to_teams", new_callable=AsyncMock
+    ), patch.object(
+        JWTAuthManager, "validate_object_id", return_value=True
+    ), patch.object(
+        JWTAuthManager, "sync_user_role_and_teams", new_callable=AsyncMock
+    ):
+        mock_auth_jwt.return_value = jwt_response
+
+        result = await JWTAuthManager.auth_builder(
+            api_key=api_key,
+            jwt_handler=jwt_handler,
+            request_data=request_data,
+            general_settings=general_settings,
+            route=route,
+            prisma_client=None,
+            user_api_key_cache=user_api_key_cache,
+            parent_otel_span=None,
+            proxy_logging_obj=proxy_logging_obj,
+        )
+
+        # Token is a JWT, so standard JWT auth must be used even when
+        # oidc_userinfo_enabled is True.
+        mock_auth_jwt.assert_called_once_with(token=api_key)
+        mock_get_userinfo.assert_not_called()
+
+        assert result["user_id"] == "test_user_1"
+        assert result["user_object"] == user_object
+
+
 def test_get_team_id_from_header():
     """Test get_team_id_from_header returns team when valid, None when missing, raises on invalid."""
     from fastapi import HTTPException
@@ -1236,17 +1386,33 @@ async def test_auth_builder_uses_team_from_header_e2e():
     )
 
     team_object = LiteLLM_TeamTable(team_id="team-2")
-    user_object = LiteLLM_UserTable(user_id="user-1", user_role=LitellmUserRoles.INTERNAL_USER)
+    user_object = LiteLLM_UserTable(
+        user_id="user-1", user_role=LitellmUserRoles.INTERNAL_USER
+    )
 
-    with patch.object(jwt_handler, "auth_jwt", new_callable=AsyncMock) as mock_auth_jwt, \
-         patch.object(JWTAuthManager, "check_rbac_role", new_callable=AsyncMock), \
-         patch.object(JWTAuthManager, "check_admin_access", new_callable=AsyncMock, return_value=None), \
-         patch("litellm.proxy.auth.handle_jwt.get_team_object", new_callable=AsyncMock) as mock_get_team, \
-         patch.object(JWTAuthManager, "get_objects", new_callable=AsyncMock, return_value=(user_object, None, None, None)), \
-         patch.object(JWTAuthManager, "map_user_to_teams", new_callable=AsyncMock), \
-         patch.object(JWTAuthManager, "sync_user_role_and_teams", new_callable=AsyncMock):
-
-        mock_auth_jwt.return_value = {"sub": "user-1", "scope": "", "groups": ["team-1", "team-2"]}
+    with patch.object(
+        jwt_handler, "auth_jwt", new_callable=AsyncMock
+    ) as mock_auth_jwt, patch.object(
+        JWTAuthManager, "check_rbac_role", new_callable=AsyncMock
+    ), patch.object(
+        JWTAuthManager, "check_admin_access", new_callable=AsyncMock, return_value=None
+    ), patch(
+        "litellm.proxy.auth.handle_jwt.get_team_object", new_callable=AsyncMock
+    ) as mock_get_team, patch.object(
+        JWTAuthManager,
+        "get_objects",
+        new_callable=AsyncMock,
+        return_value=(user_object, None, None, None),
+    ), patch.object(
+        JWTAuthManager, "map_user_to_teams", new_callable=AsyncMock
+    ), patch.object(
+        JWTAuthManager, "sync_user_role_and_teams", new_callable=AsyncMock
+    ):
+        mock_auth_jwt.return_value = {
+            "sub": "user-1",
+            "scope": "",
+            "groups": ["team-1", "team-2"],
+        }
         mock_get_team.return_value = team_object
 
         result = await JWTAuthManager.auth_builder(
@@ -1275,29 +1441,29 @@ async def test_get_team_alias_with_nested_fields():
     from litellm.proxy.auth.handle_jwt import JWTHandler
 
     jwt_handler = JWTHandler()
-    
+
     # Test token with nested team name
     nested_token = {
-        "organization": {
-            "team": {
-                "name": "engineering-team"
-            }
-        },
-        "team_name": "flat-team"
+        "organization": {"team": {"name": "engineering-team"}},
+        "team_name": "flat-team",
     }
-    
+
     # Test nested access
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_alias_jwt_field="organization.team.name")
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        team_alias_jwt_field="organization.team.name"
+    )
     assert jwt_handler.get_team_alias(nested_token, None) == "engineering-team"
-    
+
     # Test flat access (backward compatibility)
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_alias_jwt_field="team_name")
     assert jwt_handler.get_team_alias(nested_token, None) == "flat-team"
-    
+
     # Test missing field returns default
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_alias_jwt_field="nonexistent.field")
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        team_alias_jwt_field="nonexistent.field"
+    )
     assert jwt_handler.get_team_alias(nested_token, "default-team") == "default-team"
-    
+
     # Test with team_alias_jwt_field not configured
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth()  # team_alias_jwt_field is None
     assert jwt_handler.get_team_alias(nested_token, "default") is None
@@ -1312,23 +1478,22 @@ async def test_is_required_team_id_with_team_alias_field():
     from litellm.proxy.auth.handle_jwt import JWTHandler
 
     jwt_handler = JWTHandler()
-    
+
     # Neither field set - should return False
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth()
     assert jwt_handler.is_required_team_id() is False
-    
+
     # Only team_id_jwt_field set - should return True
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_id_jwt_field="team_id")
     assert jwt_handler.is_required_team_id() is True
-    
+
     # Only team_alias_jwt_field set - should return True
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(team_alias_jwt_field="team_name")
     assert jwt_handler.is_required_team_id() is True
-    
+
     # Both fields set - should return True
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
-        team_id_jwt_field="team_id",
-        team_alias_jwt_field="team_name"
+        team_id_jwt_field="team_id", team_alias_jwt_field="team_name"
     )
     assert jwt_handler.is_required_team_id() is True
 
@@ -1348,30 +1513,24 @@ async def test_find_and_validate_specific_team_id_with_team_alias():
     jwt_handler = JWTHandler()
     user_api_key_cache = DualCache()
     proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
-    
+
     jwt_handler.update_environment(
         prisma_client=None,
         user_api_key_cache=user_api_key_cache,
-        litellm_jwtauth=LiteLLM_JWTAuth(
-            team_alias_jwt_field="team_alias"
-        ),
+        litellm_jwtauth=LiteLLM_JWTAuth(team_alias_jwt_field="team_alias"),
     )
-    
+
     # Token with team name (no team_id)
-    jwt_token = {
-        "sub": "user-1",
-        "team_alias": "my-team"
-    }
-    
+    jwt_token = {"sub": "user-1", "team_alias": "my-team"}
+
     # Mock team object returned by get_team_object_by_alias
     team_object = LiteLLM_TeamTable(team_id="resolved-team-id", team_alias="my-team")
-    
+
     with patch(
-        "litellm.proxy.auth.handle_jwt.get_team_object_by_alias",
-        new_callable=AsyncMock
+        "litellm.proxy.auth.handle_jwt.get_team_object_by_alias", new_callable=AsyncMock
     ) as mock_get_by_alias:
         mock_get_by_alias.return_value = team_object
-        
+
         team_id, result_team = await JWTAuthManager.find_and_validate_specific_team_id(
             jwt_handler=jwt_handler,
             jwt_valid_token=jwt_token,
@@ -1380,7 +1539,7 @@ async def test_find_and_validate_specific_team_id_with_team_alias():
             parent_otel_span=None,
             proxy_logging_obj=proxy_logging_obj,
         )
-        
+
         # Should have resolved team_id from team name
         assert team_id == "resolved-team-id"
         assert result_team == team_object
@@ -1408,35 +1567,28 @@ async def test_find_and_validate_team_id_takes_precedence_over_name():
     jwt_handler = JWTHandler()
     user_api_key_cache = DualCache()
     proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
-    
+
     jwt_handler.update_environment(
         prisma_client=None,
         user_api_key_cache=user_api_key_cache,
         litellm_jwtauth=LiteLLM_JWTAuth(
-            team_id_jwt_field="team_id",
-            team_alias_jwt_field="team_alias"
+            team_id_jwt_field="team_id", team_alias_jwt_field="team_alias"
         ),
     )
-    
+
     # Token with both team_id and team name
-    jwt_token = {
-        "sub": "user-1",
-        "team_id": "direct-team-id",
-        "team_alias": "my-team"
-    }
-    
+    jwt_token = {"sub": "user-1", "team_id": "direct-team-id", "team_alias": "my-team"}
+
     # Mock team object returned by get_team_object (by ID)
     team_object = LiteLLM_TeamTable(team_id="direct-team-id")
-    
+
     with patch(
-        "litellm.proxy.auth.handle_jwt.get_team_object",
-        new_callable=AsyncMock
+        "litellm.proxy.auth.handle_jwt.get_team_object", new_callable=AsyncMock
     ) as mock_get_by_id, patch(
-        "litellm.proxy.auth.handle_jwt.get_team_object_by_alias",
-        new_callable=AsyncMock
+        "litellm.proxy.auth.handle_jwt.get_team_object_by_alias", new_callable=AsyncMock
     ) as mock_get_by_alias:
         mock_get_by_id.return_value = team_object
-        
+
         team_id, result_team = await JWTAuthManager.find_and_validate_specific_team_id(
             jwt_handler=jwt_handler,
             jwt_valid_token=jwt_token,
@@ -1445,7 +1597,7 @@ async def test_find_and_validate_team_id_takes_precedence_over_name():
             parent_otel_span=None,
             proxy_logging_obj=proxy_logging_obj,
         )
-        
+
         # Should use team_id directly, not resolve by name
         assert team_id == "direct-team-id"
         assert result_team == team_object
@@ -1466,7 +1618,7 @@ async def test_find_and_validate_raises_when_required_team_not_found():
     jwt_handler = JWTHandler()
     user_api_key_cache = DualCache()
     proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
-    
+
     jwt_handler.update_environment(
         prisma_client=None,
         user_api_key_cache=user_api_key_cache,
@@ -1474,12 +1626,10 @@ async def test_find_and_validate_raises_when_required_team_not_found():
             team_alias_jwt_field="team_alias"  # Required, but not in token
         ),
     )
-    
+
     # Token without team info
-    jwt_token = {
-        "sub": "user-1"
-    }
-    
+    jwt_token = {"sub": "user-1"}
+
     with pytest.raises(Exception) as exc_info:
         await JWTAuthManager.find_and_validate_specific_team_id(
             jwt_handler=jwt_handler,
@@ -1489,7 +1639,7 @@ async def test_find_and_validate_raises_when_required_team_not_found():
             parent_otel_span=None,
             proxy_logging_obj=proxy_logging_obj,
         )
-    
+
     assert "No team found in token" in str(exc_info.value)
     assert "team_alias field 'team_alias'" in str(exc_info.value)
 
@@ -1503,29 +1653,29 @@ async def test_get_org_alias_with_nested_fields():
     from litellm.proxy.auth.handle_jwt import JWTHandler
 
     jwt_handler = JWTHandler()
-    
+
     # Test token with nested org name
     nested_token = {
-        "company": {
-            "organization": {
-                "name": "acme-corp"
-            }
-        },
-        "org_name": "flat-org"
+        "company": {"organization": {"name": "acme-corp"}},
+        "org_name": "flat-org",
     }
-    
+
     # Test nested access
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(org_alias_jwt_field="company.organization.name")
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        org_alias_jwt_field="company.organization.name"
+    )
     assert jwt_handler.get_org_alias(nested_token, None) == "acme-corp"
-    
+
     # Test flat access
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(org_alias_jwt_field="org_name")
     assert jwt_handler.get_org_alias(nested_token, None) == "flat-org"
-    
+
     # Test missing field returns default
-    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(org_alias_jwt_field="nonexistent.field")
+    jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth(
+        org_alias_jwt_field="nonexistent.field"
+    )
     assert jwt_handler.get_org_alias(nested_token, "default-org") == "default-org"
-    
+
     # Test with org_alias_jwt_field not configured
     jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth()
     assert jwt_handler.get_org_alias(nested_token, "default") is None
@@ -1544,15 +1694,13 @@ async def test_get_objects_resolves_org_by_name():
     jwt_handler = JWTHandler()
     user_api_key_cache = DualCache()
     proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
-    
+
     jwt_handler.update_environment(
         prisma_client=None,
         user_api_key_cache=user_api_key_cache,
-        litellm_jwtauth=LiteLLM_JWTAuth(
-            org_alias_jwt_field="org_alias"
-        ),
+        litellm_jwtauth=LiteLLM_JWTAuth(org_alias_jwt_field="org_alias"),
     )
-    
+
     # Mock org object returned by get_org_object_by_alias
     org_object = LiteLLM_OrganizationTable(
         organization_id="resolved-org-id",
@@ -1560,15 +1708,14 @@ async def test_get_objects_resolves_org_by_name():
         budget_id="budget-1",
         created_by="admin",
         updated_by="admin",
-        models=[]
+        models=[],
     )
-    
+
     with patch(
-        "litellm.proxy.auth.handle_jwt.get_org_object_by_alias",
-        new_callable=AsyncMock
+        "litellm.proxy.auth.handle_jwt.get_org_object_by_alias", new_callable=AsyncMock
     ) as mock_get_by_alias:
         mock_get_by_alias.return_value = org_object
-        
+
         (
             result_user_obj,
             result_org_obj,
@@ -1589,7 +1736,7 @@ async def test_get_objects_resolves_org_by_name():
             route="/chat/completions",
             org_alias="my-org",
         )
-        
+
         # Should resolve org by alias - org_id can be derived from org_object.organization_id
         assert result_org_obj == org_object
         assert result_org_obj.organization_id == "resolved-org-id"
@@ -1643,7 +1790,9 @@ async def test_resolve_jwks_url_resolves_oidc_discovery_document():
         litellm_jwtauth=LiteLLM_JWTAuth(),
     )
 
-    discovery_url = "https://login.microsoftonline.com/tenant/.well-known/openid-configuration"
+    discovery_url = (
+        "https://login.microsoftonline.com/tenant/.well-known/openid-configuration"
+    )
     jwks_url = "https://login.microsoftonline.com/tenant/discovery/keys"
 
     mock_response = MagicMock()
@@ -1674,7 +1823,9 @@ async def test_resolve_jwks_url_caches_resolved_jwks_uri():
         litellm_jwtauth=LiteLLM_JWTAuth(),
     )
 
-    discovery_url = "https://login.microsoftonline.com/tenant/.well-known/openid-configuration"
+    discovery_url = (
+        "https://login.microsoftonline.com/tenant/.well-known/openid-configuration"
+    )
     jwks_url = "https://login.microsoftonline.com/tenant/discovery/keys"
 
     mock_response = MagicMock()
@@ -1818,9 +1969,9 @@ async def test_find_and_validate_specific_team_id_hints_bracket_notation():
     error_msg = str(exc_info.value)
     # Should mention the bad field name and suggest the fix
     assert "roles.0" in error_msg, f"Expected field name in: {error_msg}"
-    assert "roles" in error_msg and "list" in error_msg, (
-        f"Expected hint about using 'roles' instead: {error_msg}"
-    )
+    assert (
+        "roles" in error_msg and "list" in error_msg
+    ), f"Expected hint about using 'roles' instead: {error_msg}"
 
 
 @pytest.mark.asyncio
@@ -1848,9 +1999,9 @@ async def test_find_and_validate_specific_team_id_hints_bracket_index_notation()
 
     error_msg = str(exc_info.value)
     assert "roles[0]" in error_msg, f"Expected field name in: {error_msg}"
-    assert "roles" in error_msg and "list" in error_msg, (
-        f"Expected hint about using 'roles' instead: {error_msg}"
-    )
+    assert (
+        "roles" in error_msg and "list" in error_msg
+    ), f"Expected hint about using 'roles' instead: {error_msg}"
 
 
 @pytest.mark.asyncio
@@ -1878,4 +2029,3 @@ async def test_find_and_validate_specific_team_id_no_hint_for_valid_field():
 
     error_msg = str(exc_info.value)
     assert "Hint" not in error_msg
-

From 899b5710d18353166bcbbc3c5e0c456c267ecfa5 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:14:58 -0700
Subject: [PATCH 040/115] TestAzureAIFlux2ImageEdit

---
 tests/image_gen_tests/test_image_edits.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/image_gen_tests/test_image_edits.py b/tests/image_gen_tests/test_image_edits.py
index 8fe2e25a994..3504065a109 100644
--- a/tests/image_gen_tests/test_image_edits.py
+++ b/tests/image_gen_tests/test_image_edits.py
@@ -158,7 +158,7 @@ class TestAzureAIFlux2ImageEdit(BaseLLMImageEditTest):
         return {
             "model": "azure_ai/flux.2-pro",
             "image": SINGLE_TEST_IMAGE,
-            "api_base": "https://litellm-ci-cd-prod.services.ai.azure.com",
+            "api_base": os.getenv("AZURE_AI_API_BASE"),
             "api_key": os.getenv("AZURE_AI_API_KEY"),
             "api_version": "preview",
         }

From 7b532fda6685d577d77dba8866176d61126cf548 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 16:20:01 -0700
Subject: [PATCH 041/115] test: cleanup tests

---
 tests/image_gen_tests/test_image_edit.png     | Bin 2176454 -> 468229 bytes
 .../adroit-crow-413218-bc47f303efc9.json      |  13 -------------
 tests/local_testing/test_streaming.py         |   1 -
 3 files changed, 14 deletions(-)
 delete mode 100644 tests/local_testing/adroit-crow-413218-bc47f303efc9.json

diff --git a/tests/image_gen_tests/test_image_edit.png b/tests/image_gen_tests/test_image_edit.png
index 3b9d865ce6fd4f35fc35dc1be6184f5c8bfa7939..6ccc3026c6e46d654eb3e4891ab8648e013b7f11 100644
GIT binary patch
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diff --git a/tests/local_testing/adroit-crow-413218-bc47f303efc9.json b/tests/local_testing/adroit-crow-413218-bc47f303efc9.json
deleted file mode 100644
index 7e02c821360..00000000000
--- a/tests/local_testing/adroit-crow-413218-bc47f303efc9.json
+++ /dev/null
@@ -1,13 +0,0 @@
-{
-  "type": "service_account",
-  "project_id": "pathrise-convert-1606954137718",
-  "private_key_id": "",
-  "private_key": "",
-  "client_email": "test-adroit-crow@pathrise-convert-1606954137718.iam.gserviceaccount.com",
-  "client_id": "104886546564708740969",
-  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
-  "token_uri": "https://oauth2.googleapis.com/token",
-  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
-  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/test-adroit-crow%40pathrise-convert-1606954137718.iam.gserviceaccount.com",
-  "universe_domain": "googleapis.com"
-}
diff --git a/tests/local_testing/test_streaming.py b/tests/local_testing/test_streaming.py
index 98e1726c5f6..3aed0699603 100644
--- a/tests/local_testing/test_streaming.py
+++ b/tests/local_testing/test_streaming.py
@@ -945,7 +945,6 @@ def test_vertex_ai_stream(provider):
 
     load_vertex_ai_credentials()
     litellm.set_verbose = True
-    litellm.vertex_project = "pathrise-convert-1606954137718"
     import random
 
     test_models = ["gemini-2.5-flash-lite"]

From c7e2bfc577ba6dd217248aaab144e3f98441fcb9 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 16:24:35 -0700
Subject: [PATCH 042/115] fix: cleanup tests

---
 tests/batches_tests/test_fine_tuning_api.py   | 39 ++++---------------
 .../test_openai_batches_and_files.py          |  2 +-
 .../image_gen_tests/test_image_generation.py  |  4 +-
 .../test_secret_manager.py                    |  5 ++-
 tests/local_testing/test_exceptions.py        |  2 +-
 .../tests/test_vtx_sdk_embedding.py           |  2 +-
 .../adroit-crow-413218-bc47f303efc9.json      | 13 -------
 7 files changed, 16 insertions(+), 51 deletions(-)
 delete mode 100644 tests/proxy_unit_tests/adroit-crow-413218-bc47f303efc9.json

diff --git a/tests/batches_tests/test_fine_tuning_api.py b/tests/batches_tests/test_fine_tuning_api.py
index 034f4e1b495..5dfbc0de71d 100644
--- a/tests/batches_tests/test_fine_tuning_api.py
+++ b/tests/batches_tests/test_fine_tuning_api.py
@@ -406,29 +406,6 @@ def test_convert_basic_openai_request_to_vertex_request():
     )
 
 
-@pytest.mark.asyncio()
-@pytest.mark.skip(reason="skipping - we run mock tests for vertex ai")
-async def test_create_vertex_fine_tune_jobs():
-    verbose_logger.setLevel(logging.DEBUG)
-    # load_vertex_ai_credentials()
-
-    vertex_credentials = os.getenv("GCS_PATH_SERVICE_ACCOUNT")
-    print("creating fine tuning job")
-    create_fine_tuning_response = await litellm.acreate_fine_tuning_job(
-        model="gemini-1.0-pro-002",
-        custom_llm_provider="vertex_ai",
-        training_file="gs://cloud-samples-data/ai-platform/generative_ai/sft_train_data.jsonl",
-        vertex_project="pathrise-convert-1606954137718",
-        vertex_location="us-central1",
-        vertex_credentials=vertex_credentials,
-    )
-    print("vertex ai create fine tuning response=", create_fine_tuning_response)
-
-    assert create_fine_tuning_response.id is not None
-    assert create_fine_tuning_response.model == "gemini-1.0-pro-002"
-    assert create_fine_tuning_response.object == "fine_tuning.job"
-
-
 @pytest.mark.asyncio
 async def test_mock_openai_create_fine_tune_job():
     """Test that create_fine_tuning_job sends correct parameters to OpenAI"""
@@ -536,7 +513,6 @@ async def test_mock_openai_retrieve_fine_tune_job():
         except Exception as e:
             print("error=", e)
 
-
         # Verify the request
         mock_retrieve.assert_called_once_with(fine_tuning_job_id="ft-123")
 
@@ -544,7 +520,9 @@ async def test_mock_openai_retrieve_fine_tune_job():
 @pytest.mark.asyncio
 async def test_mock_azure_create_fine_tune_job_with_azure_specific_params():
     """Test that Azure-specific parameters are passed through extra_body"""
-    from openai.types.fine_tuning.fine_tuning_job import Hyperparameters as OAIHyperparameters
+    from openai.types.fine_tuning.fine_tuning_job import (
+        Hyperparameters as OAIHyperparameters,
+    )
     from litellm.types.utils import LiteLLMFineTuningJob
 
     mock_response = LiteLLMFineTuningJob(
@@ -564,7 +542,9 @@ async def test_mock_azure_create_fine_tune_job_with_azure_specific_params():
     async def mock_async_create(*args, **kwargs):
         return mock_response
 
-    with patch("litellm.llms.azure.fine_tuning.handler.AzureOpenAIFineTuningAPI.create_fine_tuning_job") as mock_create:
+    with patch(
+        "litellm.llms.azure.fine_tuning.handler.AzureOpenAIFineTuningAPI.create_fine_tuning_job"
+    ) as mock_create:
         mock_create.return_value = mock_async_create()
 
         response = await litellm.acreate_fine_tuning_job(
@@ -575,10 +555,7 @@ async def test_mock_azure_create_fine_tune_job_with_azure_specific_params():
             api_key="test-key",
             api_version="2025-04-01-preview",
             trainingType=1,
-            hyperparameters={
-                "n_epochs": 3,
-                "prompt_loss_weight": 0.1
-            },
+            hyperparameters={"n_epochs": 3, "prompt_loss_weight": 0.1},
         )
 
         # Verify the request
@@ -590,7 +567,7 @@ async def test_mock_azure_create_fine_tune_job_with_azure_specific_params():
         assert create_data["model"] == "gpt-4.1-mini-2025-04-14"
         assert create_data["training_file"] == "file-123"
         assert create_data["hyperparameters"] == {"n_epochs": 3}
-        
+
         # Azure-specific parameters should be in extra_body
         assert "extra_body" in create_data
         assert create_data["extra_body"]["trainingType"] == 1
diff --git a/tests/batches_tests/test_openai_batches_and_files.py b/tests/batches_tests/test_openai_batches_and_files.py
index e4e1180eb13..0aed224c256 100644
--- a/tests/batches_tests/test_openai_batches_and_files.py
+++ b/tests/batches_tests/test_openai_batches_and_files.py
@@ -54,7 +54,7 @@ def load_vertex_ai_credentials():
     print("loading vertex ai credentials")
     os.environ["GCS_FLUSH_INTERVAL"] = "1"
     filepath = os.path.dirname(os.path.abspath(__file__))
-    vertex_key_path = filepath + "/pathrise-convert-1606954137718.json"
+    vertex_key_path = filepath + "/vertex_key.json"
 
     # Read the existing content of the file or create an empty dictionary
     try:
diff --git a/tests/image_gen_tests/test_image_generation.py b/tests/image_gen_tests/test_image_generation.py
index aca5c41de38..b22a18b49b8 100644
--- a/tests/image_gen_tests/test_image_generation.py
+++ b/tests/image_gen_tests/test_image_generation.py
@@ -113,7 +113,7 @@ class TestVertexImageGeneration(BaseImageGenTest):
         litellm.in_memory_llm_clients_cache = InMemoryCache()
         return {
             "model": "vertex_ai/imagen-3.0-fast-generate-001",
-            "vertex_ai_project": "pathrise-convert-1606954137718",
+            "vertex_ai_project": "litellm-ci-cd",
             "vertex_ai_location": "us-central1",
             "n": 1,
         }
@@ -129,7 +129,7 @@ class TestVertexAIGeminiImageGeneration(BaseImageGenTest):
         litellm.in_memory_llm_clients_cache = InMemoryCache()
         return {
             "model": "vertex_ai/gemini-2.5-flash-image",
-            "vertex_ai_project": "pathrise-convert-1606954137718",
+            "vertex_ai_project": "litellm-ci-cd",
             "vertex_ai_location": "us-central1",
             "n": 1,
             "size": "1024x1024",
diff --git a/tests/litellm_utils_tests/test_secret_manager.py b/tests/litellm_utils_tests/test_secret_manager.py
index 7569c673ece..a3e7a8496f0 100644
--- a/tests/litellm_utils_tests/test_secret_manager.py
+++ b/tests/litellm_utils_tests/test_secret_manager.py
@@ -226,7 +226,7 @@ def test_google_secret_manager():
     """
     Test that we can get a secret from Google Secret Manager
     """
-    os.environ["GOOGLE_SECRET_MANAGER_PROJECT_ID"] = "pathrise-convert-1606954137718"
+    os.environ["GOOGLE_SECRET_MANAGER_PROJECT_ID"] = "litellm-ci-cd"
 
     from litellm.secret_managers.google_secret_manager import GoogleSecretManager
 
@@ -252,7 +252,7 @@ def test_google_secret_manager_read_in_memory():
     from litellm.secret_managers.google_secret_manager import GoogleSecretManager
 
     load_vertex_ai_credentials()
-    os.environ["GOOGLE_SECRET_MANAGER_PROJECT_ID"] = "pathrise-convert-1606954137718"
+    os.environ["GOOGLE_SECRET_MANAGER_PROJECT_ID"] = "litellm-ci-cd"
     secret_manager = GoogleSecretManager()
     secret_manager.cache.cache_dict["UNIQUE_KEY"] = None
     secret_manager.cache.cache_dict["UNIQUE_KEY_2"] = "lite-llm"
@@ -337,6 +337,7 @@ def test_get_secret_with_access_mode():
     litellm._key_management_settings = KeyManagementSettings()
     del os.environ[test_secret_name]
 
+
 def test_key_management_settings_defaults():
     """
     Test that KeyManagementSettings initializes with correct default values.
diff --git a/tests/local_testing/test_exceptions.py b/tests/local_testing/test_exceptions.py
index 123442d1cf6..e02d9e21171 100644
--- a/tests/local_testing/test_exceptions.py
+++ b/tests/local_testing/test_exceptions.py
@@ -24,7 +24,7 @@ from litellm import (  # AuthenticationError,; RateLimitError,; ServiceUnavailab
     embedding,
 )
 
-litellm.vertex_project = "pathrise-convert-1606954137718"
+litellm.vertex_project = "litellm-ci-cd"
 litellm.vertex_location = "us-central1"
 litellm.num_retries = 0
 
diff --git a/tests/old_proxy_tests/tests/test_vtx_sdk_embedding.py b/tests/old_proxy_tests/tests/test_vtx_sdk_embedding.py
index ff7f835a8da..a71718a204a 100644
--- a/tests/old_proxy_tests/tests/test_vtx_sdk_embedding.py
+++ b/tests/old_proxy_tests/tests/test_vtx_sdk_embedding.py
@@ -37,7 +37,7 @@ class CredentialsWrapper(Credentials):
 credentials = CredentialsWrapper(token=LITELLM_PROXY_API_KEY)
 
 vertexai.init(
-    project="pathrise-convert-1606954137718",
+    project="litellm-ci-cd",
     location="us-central1",
     api_endpoint=LITELLM_PROXY_BASE,
     credentials=credentials,
diff --git a/tests/proxy_unit_tests/adroit-crow-413218-bc47f303efc9.json b/tests/proxy_unit_tests/adroit-crow-413218-bc47f303efc9.json
deleted file mode 100644
index 7e02c821360..00000000000
--- a/tests/proxy_unit_tests/adroit-crow-413218-bc47f303efc9.json
+++ /dev/null
@@ -1,13 +0,0 @@
-{
-  "type": "service_account",
-  "project_id": "pathrise-convert-1606954137718",
-  "private_key_id": "",
-  "private_key": "",
-  "client_email": "test-adroit-crow@pathrise-convert-1606954137718.iam.gserviceaccount.com",
-  "client_id": "104886546564708740969",
-  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
-  "token_uri": "https://oauth2.googleapis.com/token",
-  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
-  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/test-adroit-crow%40pathrise-convert-1606954137718.iam.gserviceaccount.com",
-  "universe_domain": "googleapis.com"
-}

From 37bcc3252ff1bc02e609fb49bd75b6764b0d9ed7 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:35:05 -0700
Subject: [PATCH 043/115] test_completion_gpt4_turbo

---
 tests/local_testing/test_completion.py | 57 --------------------------
 1 file changed, 57 deletions(-)

diff --git a/tests/local_testing/test_completion.py b/tests/local_testing/test_completion.py
index 080c80e97f5..98759a98439 100644
--- a/tests/local_testing/test_completion.py
+++ b/tests/local_testing/test_completion.py
@@ -868,63 +868,6 @@ def test_completion_mistral_api_modified_input():
             pytest.fail(f"Error occurred: {e}")
 
 
-# def test_completion_oobabooga():
-#     try:
-#         response = completion(
-#             model="oobabooga/vicuna-1.3b", messages=messages, api_base="http://127.0.0.1:5000"
-#         )
-#         # Add any assertions here to check the response
-#         print(response)
-#     except Exception as e:
-#         pytest.fail(f"Error occurred: {e}")
-
-# test_completion_oobabooga()
-# aleph alpha
-# def test_completion_aleph_alpha():
-#     try:
-#         response = completion(
-#             model="luminous-base", messages=messages, logger_fn=logger_fn
-#         )
-#         # Add any assertions here to check the response
-#         print(response)
-#     except Exception as e:
-#         pytest.fail(f"Error occurred: {e}")
-# test_completion_aleph_alpha()
-
-
-# def test_completion_aleph_alpha_control_models():
-#     try:
-#         response = completion(
-#             model="luminous-base-control", messages=messages, logger_fn=logger_fn
-#         )
-#         # Add any assertions here to check the response
-#         print(response)
-#     except Exception as e:
-#         pytest.fail(f"Error occurred: {e}")
-# test_completion_aleph_alpha_control_models()
-
-import openai
-
-
-def test_completion_gpt4_turbo():
-    litellm.set_verbose = True
-    try:
-        response = completion(
-            model="gpt-4-1106-preview",
-            messages=messages,
-            max_completion_tokens=10,
-        )
-        print(response)
-    except openai.RateLimitError:
-        print("got a rate liimt error")
-        pass
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
-
-
-# test_completion_gpt4_turbo()
-
-
 def test_completion_gpt4_turbo_0125():
     try:
         response = completion(

From 98de60e7414f3f391227c65895cfb3cfbabae73d Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:35:31 -0700
Subject: [PATCH 044/115] test_completion_gpt4_turbo

---
 tests/local_testing/test_completion.py | 15 ---------------
 1 file changed, 15 deletions(-)

diff --git a/tests/local_testing/test_completion.py b/tests/local_testing/test_completion.py
index 98759a98439..4f569160574 100644
--- a/tests/local_testing/test_completion.py
+++ b/tests/local_testing/test_completion.py
@@ -868,21 +868,6 @@ def test_completion_mistral_api_modified_input():
             pytest.fail(f"Error occurred: {e}")
 
 
-def test_completion_gpt4_turbo_0125():
-    try:
-        response = completion(
-            model="gpt-4-0125-preview",
-            messages=messages,
-            max_tokens=10,
-        )
-        print(response)
-    except openai.RateLimitError:
-        print("got a rate liimt error")
-        pass
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
-
-
 @pytest.mark.skip(reason="this test is flaky")
 def test_completion_gpt4_vision():
     try:

From 3a0ebda867632275cf7bef79eef51cb77d43f063 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:39:06 -0700
Subject: [PATCH 045/115] test snowflake

---
 tests/llm_translation/test_snowflake.py | 236 ++++++++++--------------
 1 file changed, 96 insertions(+), 140 deletions(-)

diff --git a/tests/llm_translation/test_snowflake.py b/tests/llm_translation/test_snowflake.py
index 63878c8fc69..484be1e054b 100644
--- a/tests/llm_translation/test_snowflake.py
+++ b/tests/llm_translation/test_snowflake.py
@@ -1,23 +1,27 @@
-import os
-import sys
+import asyncio
 import json
 import httpx
 from typing import Any, Dict, List
-from unittest.mock import Mock, MagicMock, patch
-from dotenv import load_dotenv
+from unittest.mock import AsyncMock, MagicMock, patch
 
-load_dotenv()
 import pytest
 
-from litellm import completion, acompletion, responses
-from litellm.exceptions import APIConnectionError
+from litellm import completion, acompletion
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 
+FAKE_API_BASE = "https://fake-snowflake.example.com/api/v2/cortex/inference:chat"
 
-def mock_snowflake_chat_response() -> Dict[str, Any]:
-    """
-    Mock response for Snowflake chat completion.
-    """
+
+def _make_mock_response(json_data: Dict[str, Any]) -> MagicMock:
+    mock = MagicMock(spec=httpx.Response)
+    mock.status_code = 200
+    mock.headers = {"content-type": "application/json"}
+    mock.json.return_value = json_data
+    mock.text = json.dumps(json_data)
+    return mock
+
+
+def _chat_response() -> Dict[str, Any]:
     return {
         "id": "chatcmpl-snowflake-123",
         "object": "chat.completion",
@@ -28,7 +32,7 @@ def mock_snowflake_chat_response() -> Dict[str, Any]:
                 "index": 0,
                 "message": {
                     "role": "assistant",
-                    "content": "The sky above is painted blue,\nWith clouds of white and morning dew.\nA canvas vast, serene and bright,\nThat fills my heart with pure delight.",
+                    "content": "The sky above is painted blue,\nWith clouds of white and morning dew.",
                 },
                 "finish_reason": "stop",
             }
@@ -41,175 +45,127 @@ def mock_snowflake_chat_response() -> Dict[str, Any]:
     }
 
 
-def mock_snowflake_streaming_response_chunks() -> List[str]:
-    """
-    Mock streaming response chunks for Snowflake.
-    """
-    return [
-        json.dumps(
-            {
-                "id": "chatcmpl-snowflake-stream-123",
-                "object": "chat.completion.chunk",
-                "created": 1700000000,
-                "model": "mistral-7b",
-                "choices": [
-                    {
-                        "index": 0,
-                        "delta": {"role": "assistant", "content": "The"},
-                        "finish_reason": None,
-                    }
-                ],
-            }
-        ),
-        json.dumps(
-            {
-                "id": "chatcmpl-snowflake-stream-123",
-                "object": "chat.completion.chunk",
-                "created": 1700000000,
-                "model": "mistral-7b",
-                "choices": [
-                    {
-                        "index": 0,
-                        "delta": {"content": " sky"},
-                        "finish_reason": None,
-                    }
-                ],
-            }
-        ),
-        json.dumps(
-            {
-                "id": "chatcmpl-snowflake-stream-123",
-                "object": "chat.completion.chunk",
-                "created": 1700000000,
-                "model": "mistral-7b",
-                "choices": [
-                    {
-                        "index": 0,
-                        "delta": {"content": " is blue"},
-                        "finish_reason": "stop",
-                    }
-                ],
-            }
-        ),
+def _streaming_chunks() -> List[str]:
+    base = {
+        "id": "chatcmpl-snowflake-stream-123",
+        "object": "chat.completion.chunk",
+        "created": 1700000000,
+        "model": "mistral-7b",
+    }
+    deltas = [
+        {"role": "assistant", "content": "The"},
+        {"content": " sky"},
+        {"content": " is blue"},
     ]
+    chunks = []
+    for i, delta in enumerate(deltas):
+        finish = "stop" if i == len(deltas) - 1 else None
+        chunks.append(
+            json.dumps(
+                {
+                    **base,
+                    "choices": [
+                        {"index": 0, "delta": delta, "finish_reason": finish}
+                    ],
+                }
+            )
+        )
+    return chunks
 
 
 @pytest.mark.parametrize("sync_mode", [True, False])
 def test_chat_completion_snowflake(sync_mode):
-    """
-    Test Snowflake chat completion with mocked HTTP responses.
-    """
-    messages = [
-        {
-            "role": "user",
-            "content": "Write me a poem about the blue sky",
-        },
-    ]
-
-    mock_response = Mock(spec=httpx.Response)
-    mock_response.status_code = 200
-    mock_response.json.return_value = mock_snowflake_chat_response()
+    messages = [{"role": "user", "content": "Write me a poem about the blue sky"}]
+    mock_resp = _make_mock_response(_chat_response())
 
     if sync_mode:
-        sync_handler = HTTPHandler()
-        with patch.object(HTTPHandler, "post", return_value=mock_response):
+        with patch.object(HTTPHandler, "post", return_value=mock_resp) as mock_post:
             response = completion(
                 model="snowflake/mistral-7b",
                 messages=messages,
-                api_base="https://exampleopenaiendpoint-production.up.railway.app/v1/chat/completions",
-                client=sync_handler,
+                api_base=FAKE_API_BASE,
             )
-            assert response is not None
-            assert response.choices[0].message.content is not None
-            assert "sky" in response.choices[0].message.content.lower()
+            mock_post.assert_called_once()
     else:
-        async_handler = AsyncHTTPHandler()
-        with patch.object(AsyncHTTPHandler, "post", return_value=mock_response):
-            import asyncio
-
+        with patch.object(
+            AsyncHTTPHandler, "post", new_callable=AsyncMock, return_value=mock_resp
+        ) as mock_post:
             response = asyncio.run(
                 acompletion(
                     model="snowflake/mistral-7b",
                     messages=messages,
-                    api_base="https://exampleopenaiendpoint-production.up.railway.app/v1/chat/completions",
-                    client=async_handler,
+                    api_base=FAKE_API_BASE,
                 )
             )
-            assert response is not None
-            assert response.choices[0].message.content is not None
-            assert "sky" in response.choices[0].message.content.lower()
+            mock_post.assert_called_once()
+
+    assert response is not None
+    assert response.choices[0].message.content is not None
+    assert "sky" in response.choices[0].message.content.lower()
+    assert response.usage.prompt_tokens == 10
+    assert response.usage.completion_tokens == 30
 
 
 @pytest.mark.parametrize("sync_mode", [True, False])
 def test_chat_completion_snowflake_stream(sync_mode):
-    """
-    Test Snowflake streaming chat completion with mocked HTTP responses.
-    """
-    messages = [
-        {
-            "role": "user",
-            "content": "Write me a poem about the blue sky",
-        },
-    ]
+    messages = [{"role": "user", "content": "Write me a poem about the blue sky"}]
+    raw_chunks = _streaming_chunks()
 
     if sync_mode:
-        sync_handler = HTTPHandler()
-        mock_chunks = mock_snowflake_streaming_response_chunks()
 
-        def mock_iter_lines():
-            for chunk in mock_chunks:
-                for line in [f"data: {chunk}", "data: [DONE]"]:
-                    yield line
+        def _iter_lines():
+            for chunk in raw_chunks:
+                yield f"data: {chunk}"
+            yield "data: [DONE]"
 
-        mock_response = MagicMock()
-        mock_response.iter_lines.side_effect = mock_iter_lines
-        mock_response.status_code = 200
+        mock_resp = MagicMock()
+        mock_resp.iter_lines.return_value = _iter_lines()
+        mock_resp.status_code = 200
+        mock_resp.headers = {"content-type": "text/event-stream"}
 
-        with patch.object(HTTPHandler, "post", return_value=mock_response):
+        with patch.object(HTTPHandler, "post", return_value=mock_resp) as mock_post:
             response = completion(
                 model="snowflake/mistral-7b",
                 messages=messages,
                 max_tokens=100,
                 stream=True,
-                api_base="https://exampleopenaiendpoint-production.up.railway.app/v1/chat/completions",
-                client=sync_handler,
+                api_base=FAKE_API_BASE,
             )
-
-            chunks_received = []
-            for chunk in response:
-                chunks_received.append(chunk)
-
-            assert len(chunks_received) > 0
+            chunks_received = list(response)
+            mock_post.assert_called_once()
     else:
-        async_handler = AsyncHTTPHandler()
-        mock_chunks = mock_snowflake_streaming_response_chunks()
 
-        async def mock_iter_lines():
-            for chunk in mock_chunks:
-                for line in [f"data: {chunk}", "data: [DONE]"]:
-                    yield line
+        async def _aiter_lines():
+            for chunk in raw_chunks:
+                yield f"data: {chunk}"
+            yield "data: [DONE]"
 
-        mock_response = MagicMock()
-        mock_response.iter_lines.side_effect = mock_iter_lines
-        mock_response.status_code = 200
+        mock_resp = MagicMock()
+        mock_resp.aiter_lines.return_value = _aiter_lines()
+        mock_resp.status_code = 200
+        mock_resp.headers = {"content-type": "text/event-stream"}
 
-        with patch.object(AsyncHTTPHandler, "post", return_value=mock_response):
-            import asyncio
-
-            async def test_async_stream():
-                response = await acompletion(
+        async def _run():
+            with patch.object(
+                AsyncHTTPHandler, "post", new_callable=AsyncMock, return_value=mock_resp
+            ) as mock_post:
+                resp = await acompletion(
                     model="snowflake/mistral-7b",
                     messages=messages,
                     max_tokens=100,
                     stream=True,
-                    api_base="https://exampleopenaiendpoint-production.up.railway.app/v1/chat/completions",
-                    client=async_handler,
+                    api_base=FAKE_API_BASE,
                 )
+                received = []
+                async for chunk in resp:
+                    received.append(chunk)
+                mock_post.assert_called_once()
+                return received
 
-                chunks_received = []
-                async for chunk in response:
-                    chunks_received.append(chunk)
+        chunks_received = asyncio.run(_run())
 
-                assert len(chunks_received) > 0
-
-            asyncio.run(test_async_stream())
+    assert len(chunks_received) > 0
+    content = "".join(
+        c.choices[0].delta.content for c in chunks_received if c.choices[0].delta.content
+    )
+    assert "sky" in content.lower()

From a449e322c0881d589ca1a0720302e8ad0138c1d4 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:40:37 -0700
Subject: [PATCH 046/115] test_completion_cloudflare

---
 tests/llm_translation/test_cloudflare.py | 173 ++++++++++++++++++-----
 1 file changed, 138 insertions(+), 35 deletions(-)

diff --git a/tests/llm_translation/test_cloudflare.py b/tests/llm_translation/test_cloudflare.py
index 109e5a86321..5d8e3e5990e 100644
--- a/tests/llm_translation/test_cloudflare.py
+++ b/tests/llm_translation/test_cloudflare.py
@@ -1,42 +1,145 @@
-import os
-import sys
-import traceback
-
-from dotenv import load_dotenv
-
-load_dotenv()
-import io
-import os
-
-sys.path.insert(
-    0, os.path.abspath("../..")
-)  # Adds the parent directory to the system path
+import asyncio
 import json
+from typing import Any, Dict
+from unittest.mock import AsyncMock, MagicMock, patch
 
+import httpx
 import pytest
 
-import litellm
-from litellm import RateLimitError, Timeout, completion, completion_cost, embedding
+from litellm import acompletion, completion
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
+
+FAKE_API_BASE = "https://fake-cloudflare.example.com/client/v4/accounts/fake-acct/ai/run/"
+FAKE_API_KEY = "fake-cf-api-key"
 
 
-# Cloud flare AI test
-@pytest.mark.asyncio
-@pytest.mark.parametrize("stream", [True, False])
-async def test_completion_cloudflare(stream):
-    try:
-        litellm.set_verbose = False
-        response = await litellm.acompletion(
-            model="cloudflare/@cf/meta/llama-2-7b-chat-int8",
-            messages=[{"content": "what llm are you", "role": "user"}],
-            max_tokens=15,
-            stream=stream,
-        )
-        print(response)
-        if stream is True:
-            async for chunk in response:
-                print(chunk)
-        else:
-            print(response)
+def _make_mock_response(json_data: Dict[str, Any]) -> MagicMock:
+    mock = MagicMock(spec=httpx.Response)
+    mock.status_code = 200
+    mock.headers = {"content-type": "application/json"}
+    mock.json.return_value = json_data
+    mock.text = json.dumps(json_data)
+    return mock
 
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
+
+def _chat_response() -> Dict[str, Any]:
+    return {
+        "result": {
+            "response": "I am a large language model created to assist you.",
+        },
+        "success": True,
+        "errors": [],
+        "messages": [],
+    }
+
+
+def _streaming_chunks() -> list[str]:
+    return [
+        json.dumps({"response": "I am"}),
+        json.dumps({"response": " a language"}),
+        json.dumps({"response": " model."}),
+    ]
+
+
+@pytest.mark.parametrize("sync_mode", [True, False])
+def test_completion_cloudflare(sync_mode):
+    messages = [{"role": "user", "content": "what llm are you"}]
+    mock_resp = _make_mock_response(_chat_response())
+
+    if sync_mode:
+        with patch.object(HTTPHandler, "post", return_value=mock_resp) as mock_post:
+            response = completion(
+                model="cloudflare/@cf/meta/llama-2-7b-chat-int8",
+                messages=messages,
+                max_tokens=15,
+                api_base=FAKE_API_BASE,
+                api_key=FAKE_API_KEY,
+            )
+            mock_post.assert_called_once()
+    else:
+        with patch.object(
+            AsyncHTTPHandler, "post", new_callable=AsyncMock, return_value=mock_resp
+        ) as mock_post:
+            response = asyncio.run(
+                acompletion(
+                    model="cloudflare/@cf/meta/llama-2-7b-chat-int8",
+                    messages=messages,
+                    max_tokens=15,
+                    api_base=FAKE_API_BASE,
+                    api_key=FAKE_API_KEY,
+                )
+            )
+            mock_post.assert_called_once()
+
+    assert response is not None
+    assert response.choices[0].message.content is not None
+    assert "language model" in response.choices[0].message.content.lower()
+
+
+@pytest.mark.parametrize("sync_mode", [True, False])
+def test_completion_cloudflare_stream(sync_mode):
+    messages = [{"role": "user", "content": "what llm are you"}]
+    raw_chunks = _streaming_chunks()
+
+    if sync_mode:
+
+        def _iter_lines():
+            for chunk in raw_chunks:
+                yield f"data: {chunk}"
+            yield "data: [DONE]"
+
+        mock_resp = MagicMock()
+        mock_resp.iter_lines.return_value = _iter_lines()
+        mock_resp.status_code = 200
+        mock_resp.headers = {"content-type": "text/event-stream"}
+
+        with patch.object(HTTPHandler, "post", return_value=mock_resp) as mock_post:
+            response = completion(
+                model="cloudflare/@cf/meta/llama-2-7b-chat-int8",
+                messages=messages,
+                max_tokens=15,
+                stream=True,
+                api_base=FAKE_API_BASE,
+                api_key=FAKE_API_KEY,
+            )
+            chunks_received = list(response)
+            mock_post.assert_called_once()
+    else:
+
+        async def _aiter_lines():
+            for chunk in raw_chunks:
+                yield f"data: {chunk}"
+            yield "data: [DONE]"
+
+        mock_resp = MagicMock()
+        mock_resp.aiter_lines.return_value = _aiter_lines()
+        mock_resp.status_code = 200
+        mock_resp.headers = {"content-type": "text/event-stream"}
+
+        async def _run():
+            with patch.object(
+                AsyncHTTPHandler, "post", new_callable=AsyncMock, return_value=mock_resp
+            ) as mock_post:
+                resp = await acompletion(
+                    model="cloudflare/@cf/meta/llama-2-7b-chat-int8",
+                    messages=messages,
+                    max_tokens=15,
+                    stream=True,
+                    api_base=FAKE_API_BASE,
+                    api_key=FAKE_API_KEY,
+                )
+                received = []
+                async for chunk in resp:
+                    received.append(chunk)
+                mock_post.assert_called_once()
+                return received
+
+        chunks_received = asyncio.run(_run())
+
+    assert len(chunks_received) > 0
+    content = "".join(
+        c.choices[0].delta.content
+        for c in chunks_received
+        if c.choices[0].delta.content
+    )
+    assert "language" in content.lower()

From 42efaa597e4265e05617640872fd06ffd47610e3 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:43:49 -0700
Subject: [PATCH 047/115] test fix

---
 tests/llm_translation/test_azure_ai.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/tests/llm_translation/test_azure_ai.py b/tests/llm_translation/test_azure_ai.py
index b6f53e4e955..b5e98326489 100644
--- a/tests/llm_translation/test_azure_ai.py
+++ b/tests/llm_translation/test_azure_ai.py
@@ -34,6 +34,7 @@ from litellm import completion
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.types.utils import StandardLoggingPayload
 
+AZURE_AI_API_BASE = os.getenv("AZURE_AI_API_BASE")
 
 @pytest.mark.parametrize(
     "model_group_header, expected_model",
@@ -318,8 +319,8 @@ def test_completion_azure():
 @pytest.mark.parametrize(
     "api_base",
     [
-        "https://litellm-ci-cd-prod.cognitiveservices.azure.com/",
-        "https://litellm-ci-cd-prod.cognitiveservices.azure.com/openai/deployments/gpt-4.1-mini/chat/completions?api-version=2023-03-15-preview",
+        AZURE_AI_API_BASE,
+        f"{AZURE_AI_API_BASE}/openai/deployments/gpt-4.1-mini/chat/completions?api-version=2023-03-15-preview",
     ],
 )
 def test_completion_azure_ai_gpt_4o_with_flexible_api_base(api_base):

From 28afbc152fb444c934143e5207c42d49aeeda008 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:52:56 -0700
Subject: [PATCH 048/115] test_async_gcs_pub_sub_v1

---
 tests/logging_callback_tests/test_gcs_pub_sub.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/tests/logging_callback_tests/test_gcs_pub_sub.py b/tests/logging_callback_tests/test_gcs_pub_sub.py
index 540fb59ab01..5c0da673ada 100644
--- a/tests/logging_callback_tests/test_gcs_pub_sub.py
+++ b/tests/logging_callback_tests/test_gcs_pub_sub.py
@@ -190,7 +190,9 @@ async def test_async_gcs_pub_sub():
     mock_post.return_value.text = "Accepted"
 
     # Initialize the GcsPubSubLogger and set the mock
-    gcs_pub_sub_logger = GcsPubSubLogger(flush_interval=1)
+    gcs_pub_sub_logger = GcsPubSubLogger(
+        project_id="STUBBED_PROJECT_ID", topic_id="STUBBED_TOPIC_ID", flush_interval=1
+    )
     gcs_pub_sub_logger.async_httpx_client.post = mock_post
 
     mock_construct_request_headers = AsyncMock()
@@ -245,7 +247,9 @@ async def test_async_gcs_pub_sub_v1():
     mock_post.return_value.text = "Accepted"
 
     # Initialize the GcsPubSubLogger and set the mock
-    gcs_pub_sub_logger = GcsPubSubLogger(flush_interval=1)
+    gcs_pub_sub_logger = GcsPubSubLogger(
+        project_id="STUBBED_PROJECT_ID", topic_id="STUBBED_TOPIC_ID", flush_interval=1
+    )
     gcs_pub_sub_logger.async_httpx_client.post = mock_post
 
     mock_construct_request_headers = AsyncMock()

From 443566d4f5e31259f74325155e726047b79c4f0d Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 16:59:27 -0700
Subject: [PATCH 049/115] test fixes

---
 .../gcs_pub_sub_body/spend_logs_payload.json                  | 2 +-
 tests/logging_callback_tests/test_gcs_pub_sub.py              | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/tests/logging_callback_tests/gcs_pub_sub_body/spend_logs_payload.json b/tests/logging_callback_tests/gcs_pub_sub_body/spend_logs_payload.json
index 7dcbd2467fd..a4c50d3c575 100644
--- a/tests/logging_callback_tests/gcs_pub_sub_body/spend_logs_payload.json
+++ b/tests/logging_callback_tests/gcs_pub_sub_body/spend_logs_payload.json
@@ -11,7 +11,7 @@
     "user": "",
     "team_id": "",
     "organization_id": "",
-    "metadata": "{\"applied_guardrails\": [], \"batch_models\": null, \"mcp_tool_call_metadata\": null, \"vector_store_request_metadata\": null, \"guardrail_information\": null, \"usage_object\": {\"completion_tokens\": 20, \"prompt_tokens\": 10, \"total_tokens\": 30, \"completion_tokens_details\": null, \"prompt_tokens_details\": null}, \"model_map_information\": {\"model_map_key\": \"gpt-4o\", \"model_map_value\": {\"key\": \"gpt-4o\", \"max_tokens\": 16384, \"max_input_tokens\": 128000, \"max_output_tokens\": 16384, \"input_cost_per_token\": 2.5e-06, \"cache_creation_input_token_cost\": null, \"cache_read_input_token_cost\": 1.25e-06, \"input_cost_per_character\": null, \"input_cost_per_token_above_128k_tokens\": null, \"input_cost_per_token_above_200k_tokens\": null, \"input_cost_per_query\": null, \"input_cost_per_second\": null, \"input_cost_per_audio_token\": null, \"input_cost_per_token_batches\": 1.25e-06, \"output_cost_per_token_batches\": 5e-06, \"output_cost_per_token\": 1e-05, \"output_cost_per_audio_token\": null, \"output_cost_per_character\": null, \"output_cost_per_token_above_128k_tokens\": null, \"output_cost_per_character_above_128k_tokens\": null, \"output_cost_per_token_above_200k_tokens\": null, \"output_cost_per_second\": null, \"output_cost_per_image\": null, \"output_vector_size\": null, \"litellm_provider\": \"openai\", \"mode\": \"chat\", \"supports_system_messages\": true, \"supports_response_schema\": true, \"supports_vision\": true, \"supports_function_calling\": true, \"supports_tool_choice\": true, \"supports_assistant_prefill\": false, \"supports_prompt_caching\": true, \"supports_audio_input\": false, \"supports_audio_output\": false, \"supports_pdf_input\": false, \"supports_embedding_image_input\": false, \"supports_native_streaming\": null, \"supports_web_search\": true, \"supports_reasoning\": false, \"search_context_cost_per_query\": {\"search_context_size_low\": 0.03, \"search_context_size_medium\": 0.035, \"search_context_size_high\": 0.05}, \"tpm\": null, \"rpm\": null, \"supported_openai_params\": [\"frequency_penalty\", \"logit_bias\", \"logprobs\", \"top_logprobs\", \"max_tokens\", \"max_completion_tokens\", \"modalities\", \"prediction\", \"n\", \"presence_penalty\", \"seed\", \"stop\", \"stream\", \"stream_options\", \"temperature\", \"top_p\", \"tools\", \"tool_choice\", \"function_call\", \"functions\", \"max_retries\", \"extra_headers\", \"parallel_tool_calls\", \"audio\", \"response_format\", \"user\"]}}, \"additional_usage_values\": {\"completion_tokens_details\": null, \"prompt_tokens_details\": null}, \"user_api_key\": null, \"user_api_key_alias\": null, \"user_api_key_team_id\": null, \"user_api_key_project_id\": null, \"user_api_key_org_id\": null, \"user_api_key_user_id\": null, \"user_api_key_team_alias\": null, \"spend_logs_metadata\": null, \"requester_ip_address\": null, \"status\": null, \"proxy_server_request\": null, \"error_information\": null, \"attempted_retries\": null, \"max_retries\": null}",
+    "metadata": "{\"applied_guardrails\": [], \"batch_models\": null, \"mcp_tool_call_metadata\": null, \"vector_store_request_metadata\": null, \"guardrail_information\": null, \"usage_object\": {\"completion_tokens\": 20, \"prompt_tokens\": 10, \"total_tokens\": 30, \"completion_tokens_details\": null, \"prompt_tokens_details\": null}, \"model_map_information\": {\"model_map_key\": \"gpt-4o\", \"model_map_value\": {\"key\": \"gpt-4o\", \"max_tokens\": 16384, \"max_input_tokens\": 128000, \"max_output_tokens\": 16384, \"input_cost_per_token\": 2.5e-06, \"cache_creation_input_token_cost\": null, \"cache_read_input_token_cost\": 1.25e-06, \"input_cost_per_character\": null, \"input_cost_per_token_above_128k_tokens\": null, \"input_cost_per_token_above_200k_tokens\": null, \"input_cost_per_query\": null, \"input_cost_per_second\": null, \"input_cost_per_audio_token\": null, \"input_cost_per_token_batches\": 1.25e-06, \"output_cost_per_token_batches\": 5e-06, \"output_cost_per_token\": 1e-05, \"output_cost_per_audio_token\": null, \"output_cost_per_character\": null, \"output_cost_per_token_above_128k_tokens\": null, \"output_cost_per_character_above_128k_tokens\": null, \"output_cost_per_token_above_200k_tokens\": null, \"output_cost_per_second\": null, \"output_cost_per_image\": null, \"output_vector_size\": null, \"litellm_provider\": \"openai\", \"mode\": \"chat\", \"supports_system_messages\": true, \"supports_response_schema\": true, \"supports_vision\": true, \"supports_function_calling\": true, \"supports_tool_choice\": true, \"supports_assistant_prefill\": false, \"supports_prompt_caching\": true, \"supports_audio_input\": false, \"supports_audio_output\": false, \"supports_pdf_input\": false, \"supports_embedding_image_input\": false, \"supports_native_streaming\": null, \"supports_web_search\": true, \"supports_reasoning\": false, \"search_context_cost_per_query\": {\"search_context_size_low\": 0.03, \"search_context_size_medium\": 0.035, \"search_context_size_high\": 0.05}, \"tpm\": null, \"rpm\": null, \"supported_openai_params\": [\"frequency_penalty\", \"logit_bias\", \"logprobs\", \"top_logprobs\", \"max_tokens\", \"max_completion_tokens\", \"modalities\", \"prediction\", \"n\", \"presence_penalty\", \"seed\", \"stop\", \"stream\", \"stream_options\", \"temperature\", \"top_p\", \"tools\", \"tool_choice\", \"function_call\", \"functions\", \"max_retries\", \"extra_headers\", \"parallel_tool_calls\", \"audio\", \"response_format\", \"user\"]}}, \"additional_usage_values\": {\"completion_tokens_details\": null, \"prompt_tokens_details\": null}, \"user_api_key\": null, \"user_api_key_alias\": null, \"user_api_key_team_id\": null, \"user_api_key_project_id\": null, \"user_api_key_project_alias\": null, \"user_api_key_org_id\": null, \"user_api_key_user_id\": null, \"user_api_key_team_alias\": null, \"spend_logs_metadata\": null, \"requester_ip_address\": null, \"status\": null, \"proxy_server_request\": null, \"error_information\": null, \"attempted_retries\": null, \"max_retries\": null}",
     "cache_key": "Cache OFF",
     "spend": 0.00022500000000000002,
     "total_tokens": 30,
diff --git a/tests/logging_callback_tests/test_gcs_pub_sub.py b/tests/logging_callback_tests/test_gcs_pub_sub.py
index 5c0da673ada..aa846e34f63 100644
--- a/tests/logging_callback_tests/test_gcs_pub_sub.py
+++ b/tests/logging_callback_tests/test_gcs_pub_sub.py
@@ -217,7 +217,7 @@ async def test_async_gcs_pub_sub():
     print("sent to url", actual_url)
     assert (
         actual_url
-        == "https://pubsub.googleapis.com/v1/projects/reliableKeys/topics/litellmDB:publish"
+        == "https://pubsub.googleapis.com/v1/projects/STUBBED_PROJECT_ID/topics/STUBBED_TOPIC_ID:publish"
     )
     actual_request = mock_post.call_args[1]["json"]
 
@@ -274,7 +274,7 @@ async def test_async_gcs_pub_sub_v1():
     print("sent to url", actual_url)
     assert (
         actual_url
-        == "https://pubsub.googleapis.com/v1/projects/reliableKeys/topics/litellmDB:publish"
+        == "https://pubsub.googleapis.com/v1/projects/STUBBED_PROJECT_ID/topics/STUBBED_TOPIC_ID:publish"
     )
     actual_request = mock_post.call_args[1]["json"]
 

From aa061d026f4d1c083752bdf142a7175e75b0e188 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 17:12:28 -0700
Subject: [PATCH 050/115] fix: fix test

---
 .../test_amazing_vertex_completion.py         | 175 +++++++++---------
 1 file changed, 89 insertions(+), 86 deletions(-)

diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 6f7c371bdb5..34d20832c2b 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -167,43 +167,6 @@ async def test_get_response():
         pytest.fail(f"An error occurred - {str(e)}")
 
 
-@pytest.mark.skip(
-    reason="Local test. Vertex AI Quota is low. Leads to rate limit errors on ci/cd."
-)
-@pytest.mark.flaky(retries=3, delay=1)
-def test_vertex_ai_anthropic_streaming():
-    try:
-        load_vertex_ai_credentials()
-
-        # litellm.set_verbose = True
-
-        model = "claude-3-5-sonnet@20240620"
-
-        vertex_ai_project = "pathrise-convert-1606954137718"
-        vertex_ai_location = "asia-southeast1"
-        json_obj = get_vertex_ai_creds_json()
-        vertex_credentials = json.dumps(json_obj)
-
-        response = completion(
-            model="vertex_ai/" + model,
-            messages=[{"role": "user", "content": "hi"}],
-            temperature=0.7,
-            vertex_ai_project=vertex_ai_project,
-            vertex_ai_location=vertex_ai_location,
-            stream=True,
-        )
-        # print("\nModel Response", response)
-        for idx, chunk in enumerate(response):
-            print(f"chunk: {chunk}")
-            streaming_format_tests(idx=idx, chunk=chunk)
-
-    # raise Exception("it worked!")
-    except litellm.RateLimitError as e:
-        pass
-    except Exception as e:
-        pytest.fail(f"Error occurred: {e}")
-
-
 # test_vertex_ai_anthropic_streaming()
 
 
@@ -394,10 +357,7 @@ async def test_async_vertexai_response_basic():
         user_message = "Hello, how are you?"
         messages = [{"content": user_message, "role": "user"}]
         response = await acompletion(
-            model="gemini-2.5-flash",
-            messages=messages, 
-            temperature=0.7, 
-            timeout=5
+            model="gemini-2.5-flash", messages=messages, temperature=0.7, timeout=5
         )
         print(f"response: {response}")
     except litellm.NotFoundError as e:
@@ -414,8 +374,6 @@ async def test_async_vertexai_response_basic():
         pytest.fail(f"An exception occurred: {e}")
 
 
-
-
 @pytest.mark.flaky(retries=3, delay=1)
 @pytest.mark.asyncio
 async def test_async_vertexai_streaming_response():
@@ -739,7 +697,9 @@ def test_gemini_pro_grounding(value_in_dict):
 
 
 # @pytest.mark.skip(reason="exhausted vertex quota. need to refactor to mock the call")
-@pytest.mark.parametrize("model", ["vertex_ai_beta/gemini-2.5-flash-lite"])  # "vertex_ai",
+@pytest.mark.parametrize(
+    "model", ["vertex_ai_beta/gemini-2.5-flash-lite"]
+)  # "vertex_ai",
 @pytest.mark.parametrize("sync_mode", [True])  # "vertex_ai",
 @pytest.mark.asyncio
 @pytest.mark.flaky(retries=6, delay=2)
@@ -808,7 +768,17 @@ async def test_gemini_pro_function_calling_httpx(model, sync_mode):
     except Exception as e:
         error_msg = str(e)
         # Skip test for known transient API issues
-        if any(x in error_msg for x in ["429 Quota exceeded", "503", "Service unavailable", "timeout", "Timeout", "UNAVAILABLE"]):
+        if any(
+            x in error_msg
+            for x in [
+                "429 Quota exceeded",
+                "503",
+                "Service unavailable",
+                "timeout",
+                "Timeout",
+                "UNAVAILABLE",
+            ]
+        ):
             pytest.skip(f"Transient API error: {error_msg}")
         else:
             pytest.fail(f"An unexpected exception occurred - {error_msg}")
@@ -1396,12 +1366,14 @@ async def test_gemini_pro_json_schema_args_sent_httpx(
                 # Gemini 2.x+ uses response_json_schema, Gemini 1.x uses response_schema
                 gen_config = mock_call.call_args.kwargs["json"]["generationConfig"]
                 assert (
-                    "response_schema" in gen_config or "response_json_schema" in gen_config
+                    "response_schema" in gen_config
+                    or "response_json_schema" in gen_config
                 ), f"Expected response_schema or response_json_schema in {gen_config}"
             else:
                 gen_config = mock_call.call_args.kwargs["json"]["generationConfig"]
                 assert (
-                    "response_schema" not in gen_config and "response_json_schema" not in gen_config
+                    "response_schema" not in gen_config
+                    and "response_json_schema" not in gen_config
                 )
                 assert (
                     "Use this JSON schema:"
@@ -1577,7 +1549,8 @@ async def test_gemini_pro_json_schema_args_sent_httpx_openai_schema(
                 # Gemini 2.x+ uses response_json_schema, Gemini 1.x uses response_schema
                 gen_config = mock_call.call_args.kwargs["json"]["generationConfig"]
                 assert (
-                    "response_schema" in gen_config or "response_json_schema" in gen_config
+                    "response_schema" in gen_config
+                    or "response_json_schema" in gen_config
                 ), f"Expected response_schema or response_json_schema in {gen_config}"
                 assert (
                     "response_mime_type"
@@ -1592,7 +1565,8 @@ async def test_gemini_pro_json_schema_args_sent_httpx_openai_schema(
             else:
                 gen_config = mock_call.call_args.kwargs["json"]["generationConfig"]
                 assert (
-                    "response_schema" not in gen_config and "response_json_schema" not in gen_config
+                    "response_schema" not in gen_config
+                    and "response_json_schema" not in gen_config
                 )
                 assert (
                     "Use this JSON schema:"
@@ -2313,8 +2287,6 @@ def test_prompt_factory_nested():
         ), "'text' value not a string."
 
 
-
-
 @pytest.mark.asyncio
 async def test_completion_fine_tuned_model():
     load_vertex_ai_credentials()
@@ -2579,20 +2551,20 @@ async def test_gemini_context_caching_anthropic_format(sync_mode):
 async def test_gemini_context_caching_disabled_flag(sync_mode):
     """
     Test that disable_anthropic_gemini_context_caching_transform flag properly disables context caching.
-    
+
     When the flag is set to True, messages with cache_control should not trigger caching API calls.
     """
     from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 
     litellm.set_verbose = True
-    
+
     # Store original value to restore later
     original_flag_value = litellm.disable_anthropic_gemini_context_caching_transform
-    
+
     try:
         # Enable the disable flag
         litellm.disable_anthropic_gemini_context_caching_transform = True
-        
+
         gemini_context_caching_messages = [
             # System Message with cache_control
             {
@@ -2633,13 +2605,15 @@ async def test_gemini_context_caching_disabled_flag(sync_mode):
                 ],
             },
         ]
-        
+
         if sync_mode:
             client = HTTPHandler(concurrent_limit=1)
         else:
             client = AsyncHTTPHandler(concurrent_limit=1)
-            
-        with patch.object(client, "post", side_effect=mock_gemini_request) as mock_client:
+
+        with patch.object(
+            client, "post", side_effect=mock_gemini_request
+        ) as mock_client:
             try:
                 if sync_mode:
                     response = litellm.completion(
@@ -2662,24 +2636,32 @@ async def test_gemini_context_caching_disabled_flag(sync_mode):
                 print(e)
 
             # When caching is disabled, should only make 1 call (no separate cache creation call)
-            assert mock_client.call_count == 1, f"Expected 1 call when caching is disabled, got {mock_client.call_count}"
+            assert (
+                mock_client.call_count == 1
+            ), f"Expected 1 call when caching is disabled, got {mock_client.call_count}"
 
             first_call_args = mock_client.call_args_list[0].kwargs
             first_call_positional_args = mock_client.call_args_list[0].args
 
             print(f"first_call_args with caching disabled: {first_call_args}")
-            print(f"first_call_positional_args with caching disabled: {first_call_positional_args}")
+            print(
+                f"first_call_positional_args with caching disabled: {first_call_positional_args}"
+            )
 
             # Assert that cachedContents is NOT in the URL when caching is disabled
-            url = first_call_args.get("url", first_call_positional_args[0] if first_call_positional_args else "")
-            assert "cachedContents" not in url, "cachedContents should not be in URL when caching is disabled"
-            
+            url = first_call_args.get(
+                "url",
+                first_call_positional_args[0] if first_call_positional_args else "",
+            )
+            assert (
+                "cachedContents" not in url
+            ), "cachedContents should not be in URL when caching is disabled"
+
     finally:
         # Restore original flag value
         litellm.disable_anthropic_gemini_context_caching_transform = original_flag_value
 
 
-
 @pytest.mark.asyncio
 async def test_partner_models_httpx_ai21():
     litellm.set_verbose = True
@@ -2920,7 +2902,9 @@ def test_gemini_function_call_parameter_in_messages():
                 "contents": [
                     {
                         "role": "user",
-                        "parts": [{"text": "search for weather in boston (use `search`)"}],
+                        "parts": [
+                            {"text": "search for weather in boston (use `search`)"}
+                        ],
                     },
                     {
                         "role": "model",
@@ -2947,7 +2931,9 @@ def test_gemini_function_call_parameter_in_messages():
                         ],
                     },
                 ],
-                "system_instruction": {"parts": [{"text": "Use search for most queries."}]},
+                "system_instruction": {
+                    "parts": [{"text": "Use search for most queries."}]
+                },
                 "tools": [
                     {
                         "function_declarations": [
@@ -3746,8 +3732,8 @@ def test_gemini_nullable_object_tool_schema_httpx():
     load_vertex_ai_credentials()
     litellm._turn_on_debug()
 
-
-    tools = [{
+    tools = [
+        {
             "type": "function",
             "strict": True,
             "function": {
@@ -3760,7 +3746,7 @@ def test_gemini_nullable_object_tool_schema_httpx():
                     "properties": {
                         "ticket_id": {
                             "type": "string",
-                            "description": "Unique identifier for the support ticket"
+                            "description": "Unique identifier for the support ticket",
                         },
                         "customer_context": {
                             "type": ["object", "null"],
@@ -3770,18 +3756,19 @@ def test_gemini_nullable_object_tool_schema_httpx():
                             "properties": {
                                 "user_id": {
                                     "type": "string",
-                                    "description": "Internal user identifier"
+                                    "description": "Internal user identifier",
                                 },
                                 "plan": {
                                     "type": "string",
-                                    "description": "Subscription plan name (e.g. pro, enterprise)"
-                                }
-                            }
-                        }
-                    }
-                }
-            }
-        }]
+                                    "description": "Subscription plan name (e.g. pro, enterprise)",
+                                },
+                            },
+                        },
+                    },
+                },
+            },
+        }
+    ]
 
     response = litellm.completion(
         model="vertex_ai/gemini-2.5-flash",
@@ -3986,10 +3973,16 @@ def test_vertex_ai_gemini_audio_ogg():
         for part in content["parts"]
         if "file_data" in part
     ]
-    assert len(file_data_parts) == 1, f"Expected 1 file_data part, got: {file_data_parts}"
+    assert (
+        len(file_data_parts) == 1
+    ), f"Expected 1 file_data part, got: {file_data_parts}"
     file_data = file_data_parts[0]["file_data"]
-    assert file_data["mime_type"] == "audio/ogg", f"Expected audio/ogg, got: {file_data['mime_type']}"
-    assert "En-us-public.ogg" in file_data["file_uri"], f"Unexpected file_uri: {file_data['file_uri']}"
+    assert (
+        file_data["mime_type"] == "audio/ogg"
+    ), f"Expected audio/ogg, got: {file_data['mime_type']}"
+    assert (
+        "En-us-public.ogg" in file_data["file_uri"]
+    ), f"Unexpected file_uri: {file_data['file_uri']}"
     print(response)
 
 
@@ -4041,7 +4034,7 @@ def test_gemini_grounding_on_streaming():
     load_vertex_ai_credentials()
     # litellm._turn_on_debug()
     args = {
-        "model": "vertex_ai/gemini-2.0-flash",
+        "model": "vertex_ai/gemini-3-flash-preview",
         "messages": [
             {
                 "role": "user",
@@ -4053,6 +4046,7 @@ def test_gemini_grounding_on_streaming():
                 ],
             }
         ],
+        "vertex_location": "global",
         "stream": True,
         "tools": [{"googleSearch": {}}],
         "fallbacks": [],
@@ -4071,15 +4065,24 @@ def test_gemini_google_maps_tool_simple():
     """
     Test googleMaps tool with just enableWidget parameter.
     """
-    load_vertex_ai_credentials()
+    # load_vertex_ai_credentials()
     litellm._turn_on_debug()
 
     tools = [{"googleMaps": {"enableWidget": True}}]
-    tools_with_location = [{"googleMaps": {"enableWidget": True, "latitude": 37.7749, "longitude": -122.4194, "languageCode": "en_US"}}]
+    tools_with_location = [
+        {
+            "googleMaps": {
+                "enableWidget": True,
+                "latitude": 37.7749,
+                "longitude": -122.4194,
+                "languageCode": "en_US",
+            }
+        }
+    ]
     try:
         for tools in [tools, tools_with_location]:
             response = completion(
-                model="vertex_ai/gemini-2.0-flash",
+                model="vertex_ai/gemini-3-flash-preview",
                 messages=[
                     {
                         "role": "user",
@@ -4087,6 +4090,7 @@ def test_gemini_google_maps_tool_simple():
                     }
                 ],
                 tools=tools,
+                vertex_location="global",
             )
         print(f"Response: {response.model_dump_json(indent=4)}")
         assert response.choices[0].message.content is not None
@@ -4094,4 +4098,3 @@ def test_gemini_google_maps_tool_simple():
         pass
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
-

From c2aec08a1bc7f81187ec567bc2e2b95210d96959 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 17:15:19 -0700
Subject: [PATCH 051/115] test: fix test

---
 tests/local_testing/test_amazing_vertex_completion.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 34d20832c2b..d7356183b9f 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -3564,8 +3564,9 @@ def test_gemini_tool_calling_working_demo():
                 },
             }
         ],
+        "vertex_location": "global",
     }
-    response = completion(model="vertex_ai/gemini-2.0-flash", **args)
+    response = completion(model="vertex_ai/gemini-3-flash-preview", **args)
     print(response)
 
 
@@ -3989,7 +3990,7 @@ def test_vertex_ai_gemini_audio_ogg():
 @pytest.mark.asyncio
 async def test_vertex_ai_deepseek():
     """Test that deepseek models use the correct v1 API endpoint instead of v1beta1."""
-    # load_vertex_ai_credentials()
+    load_vertex_ai_credentials()
     litellm._turn_on_debug()
     from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
 
@@ -4065,7 +4066,7 @@ def test_gemini_google_maps_tool_simple():
     """
     Test googleMaps tool with just enableWidget parameter.
     """
-    # load_vertex_ai_credentials()
+    load_vertex_ai_credentials()
     litellm._turn_on_debug()
 
     tools = [{"googleMaps": {"enableWidget": True}}]

From 770f5ce721e700cfa2d4921c2e1690c950c45279 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 17:35:11 -0700
Subject: [PATCH 052/115] test: fix test assertion

---
 tests/local_testing/test_amazing_vertex_completion.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index d7356183b9f..123dfc095cf 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -2352,7 +2352,7 @@ async def test_completion_fine_tuned_model():
         # this is the fine-tuned model endpoint
         assert (
             url[0]
-            == "https://us-central1-aiplatform.googleapis.com/v1/projects/pathrise-convert-1606954137718/locations/us-central1/endpoints/4965075652664360960:generateContent"
+            == "https://us-central1-aiplatform.googleapis.com/v1/projects/litellm-ci-cd/locations/us-central1/endpoints/4965075652664360960:generateContent"
         )
 
         print("call args = ", kwargs)

From 6c3de43fcf5a016a0079b5f164259136c7bcae4a Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 17:43:52 -0700
Subject: [PATCH 053/115] test_enterprise_custom_auth_returns_string

---
 .../litellm_enterprise/proxy/auth/test_user_api_key_auth.py     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/enterprise/litellm_enterprise/proxy/auth/test_user_api_key_auth.py b/tests/enterprise/litellm_enterprise/proxy/auth/test_user_api_key_auth.py
index 0a2930aebb0..a45df5df008 100644
--- a/tests/enterprise/litellm_enterprise/proxy/auth/test_user_api_key_auth.py
+++ b/tests/enterprise/litellm_enterprise/proxy/auth/test_user_api_key_auth.py
@@ -72,7 +72,7 @@ async def test_enterprise_custom_auth_returns_string():
                 auth_obj = await _user_api_key_auth_builder(
                     request=request,
                     api_key="my-custom-key",
-                    AZURE_AI_API_KEY_header="",
+                    azure_api_key_header="",
                     anthropic_api_key_header=None,
                     google_ai_studio_api_key_header=None,
                     azure_apim_header=None,

From 13b7c2e60251fdb28211ca7ef4da04bc36ec83b2 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 17:48:15 -0700
Subject: [PATCH 054/115] test: update testing

---
 tests/local_testing/test_amazing_vertex_completion.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/tests/local_testing/test_amazing_vertex_completion.py b/tests/local_testing/test_amazing_vertex_completion.py
index 123dfc095cf..a1684e23769 100644
--- a/tests/local_testing/test_amazing_vertex_completion.py
+++ b/tests/local_testing/test_amazing_vertex_completion.py
@@ -2758,7 +2758,7 @@ async def test_partner_models_httpx_ai21():
 
         assert (
             url[0]
-            == "https://us-central1-aiplatform.googleapis.com/v1beta1/projects/pathrise-convert-1606954137718/locations/us-central1/publishers/ai21/models/jamba-1.5-mini@001:rawPredict"
+            == "https://us-central1-aiplatform.googleapis.com/v1beta1/projects/litellm-ci-cd/locations/us-central1/publishers/ai21/models/jamba-1.5-mini@001:rawPredict"
         )
 
         # json loads kwargs
@@ -3637,8 +3637,9 @@ def test_gemini_tool_calling_not_working():
                 },
             }
         ],
+        "vertex_location": "global",
     }
-    response = completion(model="vertex_ai/gemini-2.0-flash", **args)
+    response = completion(model="vertex_ai/gemini-3-flash-preview", **args)
     print(response)
 
 

From 9d4090bc5ac456b48cf1cdac8830751ef2038f6b Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 17:48:44 -0700
Subject: [PATCH 055/115] test fix - remove tests that were skipped

---
 tests/local_testing/test_gcs_bucket.py | 510 -------------------------
 1 file changed, 510 deletions(-)

diff --git a/tests/local_testing/test_gcs_bucket.py b/tests/local_testing/test_gcs_bucket.py
index 018a79b53f0..03321627bcb 100644
--- a/tests/local_testing/test_gcs_bucket.py
+++ b/tests/local_testing/test_gcs_bucket.py
@@ -270,513 +270,3 @@ async def test_basic_gcs_logger_failure():
     await gcs_logger.delete_gcs_object(object_name=object_name)
 
 
-@pytest.mark.skip(reason="This test is flaky")
-@pytest.mark.asyncio
-async def test_basic_gcs_logging_per_request_with_callback_set():
-    """
-    Test GCS Bucket logging per request
-
-    Request 1 - pass gcs_bucket_name in kwargs
-    Request 2 - don't pass gcs_bucket_name in kwargs - ensure 'litellm-testing-bucket'
-    """
-    import logging
-    from litellm._logging import verbose_logger
-
-    verbose_logger.setLevel(logging.DEBUG)
-    load_vertex_ai_credentials()
-    gcs_logger = GCSBucketLogger()
-    print("GCSBucketLogger", gcs_logger)
-    litellm.callbacks = [gcs_logger]
-
-    GCS_BUCKET_NAME = "example-bucket-1-litellm"
-    standard_callback_dynamic_params: StandardCallbackDynamicParams = (
-        StandardCallbackDynamicParams(gcs_bucket_name=GCS_BUCKET_NAME)
-    )
-
-    try:
-        response = await litellm.acompletion(
-            model="gpt-4o-mini",
-            temperature=0.7,
-            messages=[{"role": "user", "content": "This is a test"}],
-            max_tokens=10,
-            user="ishaan-2",
-            gcs_bucket_name=GCS_BUCKET_NAME,
-        )
-    except:
-        pass
-
-    await asyncio.sleep(5)
-
-    # Get the current date
-    # Get the current date
-    current_date = datetime.now().strftime("%Y-%m-%d")
-
-    # Modify the object_name to include the date-based folder
-    object_name = f"{current_date}%2F{response.id}"
-
-    print("object_name", object_name)
-
-    # Check if object landed on GCS
-    object_from_gcs = await gcs_logger.download_gcs_object(
-        object_name=object_name,
-        standard_callback_dynamic_params=standard_callback_dynamic_params,
-    )
-    print("object from gcs=", object_from_gcs)
-    # convert object_from_gcs from bytes to DICT
-    parsed_data = json.loads(object_from_gcs)
-    print("object_from_gcs as dict", parsed_data)
-
-    print("type of object_from_gcs", type(parsed_data))
-
-    gcs_payload = StandardLoggingPayload(**parsed_data)
-
-    assert gcs_payload["model"] == "gpt-4o-mini"
-    assert gcs_payload["messages"] == [{"role": "user", "content": "This is a test"}]
-
-    assert gcs_payload["response_cost"] > 0.0
-
-    assert gcs_payload["status"] == "success"
-
-    # clean up the object from GCS
-    await gcs_logger.delete_gcs_object(
-        object_name=object_name,
-        standard_callback_dynamic_params=standard_callback_dynamic_params,
-    )
-
-    # Request 2 - don't pass gcs_bucket_name in kwargs - ensure 'litellm-testing-bucket'
-    try:
-        response = await litellm.acompletion(
-            model="gpt-4o-mini",
-            temperature=0.7,
-            messages=[{"role": "user", "content": "This is a test"}],
-            max_tokens=10,
-            user="ishaan-2",
-            mock_response="Hi!",
-        )
-    except:
-        pass
-
-    await asyncio.sleep(5)
-
-    # Get the current date
-    # Get the current date
-    current_date = datetime.now().strftime("%Y-%m-%d")
-    standard_callback_dynamic_params = StandardCallbackDynamicParams(
-        gcs_bucket_name="litellm-testing-bucket"
-    )
-
-    # Modify the object_name to include the date-based folder
-    object_name = f"{current_date}%2F{response.id}"
-
-    print("object_name", object_name)
-
-    # Check if object landed on GCS
-    object_from_gcs = await gcs_logger.download_gcs_object(
-        object_name=object_name,
-        standard_callback_dynamic_params=standard_callback_dynamic_params,
-    )
-    print("object from gcs=", object_from_gcs)
-    # convert object_from_gcs from bytes to DICT
-    parsed_data = json.loads(object_from_gcs)
-    print("object_from_gcs as dict", parsed_data)
-
-    print("type of object_from_gcs", type(parsed_data))
-
-    gcs_payload = StandardLoggingPayload(**parsed_data)
-
-    assert gcs_payload["model"] == "gpt-4o-mini"
-    assert gcs_payload["messages"] == [{"role": "user", "content": "This is a test"}]
-
-    assert gcs_payload["response_cost"] > 0.0
-
-    assert gcs_payload["status"] == "success"
-
-    # clean up the object from GCS
-    await gcs_logger.delete_gcs_object(
-        object_name=object_name,
-        standard_callback_dynamic_params=standard_callback_dynamic_params,
-    )
-
-
-@pytest.mark.skip(reason="This test is flaky")
-@pytest.mark.asyncio
-async def test_basic_gcs_logging_per_request_with_no_litellm_callback_set():
-    """
-    Test GCS Bucket logging per request
-
-    key difference: no litellm.callbacks set
-
-    Request 1 - pass gcs_bucket_name in kwargs
-    Request 2 - don't pass gcs_bucket_name in kwargs - ensure 'litellm-testing-bucket'
-    """
-    import logging
-    from litellm._logging import verbose_logger
-
-    verbose_logger.setLevel(logging.DEBUG)
-    load_vertex_ai_credentials()
-    gcs_logger = GCSBucketLogger()
-
-    GCS_BUCKET_NAME = "example-bucket-1-litellm"
-    standard_callback_dynamic_params: StandardCallbackDynamicParams = (
-        StandardCallbackDynamicParams(gcs_bucket_name=GCS_BUCKET_NAME)
-    )
-
-    try:
-        response = await litellm.acompletion(
-            model="gpt-4o-mini",
-            temperature=0.7,
-            messages=[{"role": "user", "content": "This is a test"}],
-            max_tokens=10,
-            user="ishaan-2",
-            gcs_bucket_name=GCS_BUCKET_NAME,
-            success_callback=["gcs_bucket"],
-            failure_callback=["gcs_bucket"],
-        )
-    except:
-        pass
-
-    await asyncio.sleep(5)
-
-    # Get the current date
-    # Get the current date
-    current_date = datetime.now().strftime("%Y-%m-%d")
-
-    # Modify the object_name to include the date-based folder
-    object_name = f"{current_date}%2F{response.id}"
-
-    print("object_name", object_name)
-
-    # Check if object landed on GCS
-    object_from_gcs = await gcs_logger.download_gcs_object(
-        object_name=object_name,
-        standard_callback_dynamic_params=standard_callback_dynamic_params,
-    )
-    print("object from gcs=", object_from_gcs)
-    # convert object_from_gcs from bytes to DICT
-    parsed_data = json.loads(object_from_gcs)
-    print("object_from_gcs as dict", parsed_data)
-
-    print("type of object_from_gcs", type(parsed_data))
-
-    gcs_payload = StandardLoggingPayload(**parsed_data)
-
-    assert gcs_payload["model"] == "gpt-4o-mini"
-    assert gcs_payload["messages"] == [{"role": "user", "content": "This is a test"}]
-
-    assert gcs_payload["response_cost"] > 0.0
-
-    assert gcs_payload["status"] == "success"
-
-    # clean up the object from GCS
-    await gcs_logger.delete_gcs_object(
-        object_name=object_name,
-        standard_callback_dynamic_params=standard_callback_dynamic_params,
-    )
-
-    # make a failure request - assert that failure callback is hit
-    gcs_log_id = f"failure-test-{uuid.uuid4().hex}"
-    try:
-        response = await litellm.acompletion(
-            model="gpt-4o-mini",
-            temperature=0.7,
-            messages=[{"role": "user", "content": "This is a test"}],
-            max_tokens=10,
-            user="ishaan-2",
-            mock_response=litellm.BadRequestError(
-                model="gpt-3.5-turbo",
-                message="Error: 400: Bad Request: Invalid API key, please check your API key and try again.",
-                llm_provider="openai",
-            ),
-            success_callback=["gcs_bucket"],
-            failure_callback=["gcs_bucket"],
-            gcs_bucket_name=GCS_BUCKET_NAME,
-            metadata={
-                "gcs_log_id": gcs_log_id,
-            },
-        )
-    except:
-        pass
-
-    await asyncio.sleep(5)
-
-    # check if the failure object is logged in GCS
-    object_from_gcs = await gcs_logger.download_gcs_object(
-        object_name=gcs_log_id,
-        standard_callback_dynamic_params=standard_callback_dynamic_params,
-    )
-    print("object from gcs=", object_from_gcs)
-    # convert object_from_gcs from bytes to DICT
-    parsed_data = json.loads(object_from_gcs)
-    print("object_from_gcs as dict", parsed_data)
-
-    gcs_payload = StandardLoggingPayload(**parsed_data)
-
-    assert gcs_payload["model"] == "gpt-4o-mini"
-    assert gcs_payload["messages"] == [{"role": "user", "content": "This is a test"}]
-
-    assert gcs_payload["response_cost"] == 0
-    assert gcs_payload["status"] == "failure"
-
-    # clean up the object from GCS
-    await gcs_logger.delete_gcs_object(
-        object_name=gcs_log_id,
-        standard_callback_dynamic_params=standard_callback_dynamic_params,
-    )
-
-
-@pytest.mark.skip(reason="This test is flaky")
-@pytest.mark.asyncio
-async def test_aaaget_gcs_logging_config_without_service_account():
-    """
-    Test the get_gcs_logging_config works for IAM auth on GCS
-    1. Key based logging without a service account
-    2. Default Callback without a service account
-    """
-    load_vertex_ai_credentials()
-    _old_gcs_bucket_name = os.environ.get("GCS_BUCKET_NAME")
-    os.environ.pop("GCS_BUCKET_NAME", None)
-
-    _old_gcs_service_acct = os.environ.get("GCS_PATH_SERVICE_ACCOUNT")
-    os.environ.pop("GCS_PATH_SERVICE_ACCOUNT", None)
-
-    # Mock the load_auth function to avoid credential loading issues
-    # Test 1: With standard_callback_dynamic_params (with service account)
-    gcs_logger = GCSBucketLogger()
-
-    dynamic_params = StandardCallbackDynamicParams(
-        gcs_bucket_name="dynamic-bucket",
-    )
-    config = await gcs_logger.get_gcs_logging_config(
-        {"standard_callback_dynamic_params": dynamic_params}
-    )
-
-    assert config["bucket_name"] == "dynamic-bucket"
-    assert config["path_service_account"] is None
-    assert config["vertex_instance"] is not None
-
-    # Test 2: With standard_callback_dynamic_params (without service account - this is IAM auth)
-    dynamic_params = StandardCallbackDynamicParams(
-        gcs_bucket_name="dynamic-bucket", gcs_path_service_account=None
-    )
-
-    config = await gcs_logger.get_gcs_logging_config(
-        {"standard_callback_dynamic_params": dynamic_params}
-    )
-
-    assert config["bucket_name"] == "dynamic-bucket"
-    assert config["path_service_account"] is None
-    assert config["vertex_instance"] is not None
-
-    # Test 5: With missing bucket name
-    with pytest.raises(ValueError, match="GCS_BUCKET_NAME is not set"):
-        gcs_logger = GCSBucketLogger(bucket_name=None)
-        await gcs_logger.get_gcs_logging_config({})
-
-    if _old_gcs_bucket_name is not None:
-        os.environ["GCS_BUCKET_NAME"] = _old_gcs_bucket_name
-
-    if _old_gcs_service_acct is not None:
-        os.environ["GCS_PATH_SERVICE_ACCOUNT"] = _old_gcs_service_acct
-
-
-@pytest.mark.skip(reason="This test is flaky")
-@pytest.mark.asyncio
-async def test_basic_gcs_logger_with_folder_in_bucket_name():
-    load_vertex_ai_credentials()
-    gcs_logger = GCSBucketLogger()
-
-    bucket_name = "litellm-testing-bucket/test-folder-logs"
-
-    old_bucket_name = os.environ.get("GCS_BUCKET_NAME")
-    os.environ["GCS_BUCKET_NAME"] = bucket_name
-    print("GCSBucketLogger", gcs_logger)
-
-    litellm.callbacks = [gcs_logger]
-    response = await litellm.acompletion(
-        model="gpt-3.5-turbo",
-        temperature=0.7,
-        messages=[{"role": "user", "content": "This is a test"}],
-        max_tokens=10,
-        user="ishaan-2",
-        mock_response="Hi!",
-        metadata={
-            "tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"],
-            "user_api_key": "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456",
-            "user_api_key_alias": None,
-            "user_api_end_user_max_budget": None,
-            "litellm_api_version": "0.0.0",
-            "global_max_parallel_requests": None,
-            "user_api_key_user_id": "116544810872468347480",
-            "user_api_key_org_id": None,
-            "user_api_key_team_id": None,
-            "user_api_key_team_alias": None,
-            "user_api_key_metadata": {},
-            "requester_ip_address": "127.0.0.1",
-            "requester_metadata": {"foo": "bar"},
-            "spend_logs_metadata": {"hello": "world"},
-            "headers": {
-                "content-type": "application/json",
-                "user-agent": "PostmanRuntime/7.32.3",
-                "accept": "*/*",
-                "postman-token": "92300061-eeaa-423b-a420-0b44896ecdc4",
-                "host": "localhost:4000",
-                "accept-encoding": "gzip, deflate, br",
-                "connection": "keep-alive",
-                "content-length": "163",
-            },
-            "endpoint": "http://localhost:4000/chat/completions",
-            "model_group": "gpt-3.5-turbo",
-            "model_info": {
-                "id": "4bad40a1eb6bebd1682800f16f44b9f06c52a6703444c99c7f9f32e9de3693b4",
-                "db_model": False,
-            },
-            "api_base": "https://openai-gpt-4-test-v-1.openai.azure.com/",
-            "caching_groups": None,
-            "raw_request": "\n\nPOST Request Sent from LiteLLM:\ncurl -X POST \\\nhttps://openai-gpt-4-test-v-1.openai.azure.com//openai/ \\\n-H 'Authorization: *****' \\\n-d '{'model': 'chatgpt-v-3', 'messages': [{'role': 'system', 'content': 'you are a helpful assistant.\\n'}, {'role': 'user', 'content': 'bom dia'}], 'stream': False, 'max_tokens': 10, 'user': '116544810872468347480', 'extra_body': {}}'\n",
-        },
-    )
-
-    print("response", response)
-
-    await asyncio.sleep(5)
-
-    # Get the current date
-    # Get the current date
-    current_date = datetime.now().strftime("%Y-%m-%d")
-
-    # Modify the object_name to include the date-based folder
-    object_name = f"{current_date}%2F{response.id}"
-
-    print("object_name", object_name)
-
-    # Check if object landed on GCS
-    object_from_gcs = await gcs_logger.download_gcs_object(object_name=object_name)
-    print("object from gcs=", object_from_gcs)
-    # convert object_from_gcs from bytes to DICT
-    parsed_data = json.loads(object_from_gcs)
-    print("object_from_gcs as dict", parsed_data)
-
-    print("type of object_from_gcs", type(parsed_data))
-
-    gcs_payload = StandardLoggingPayload(**parsed_data)
-
-    print("gcs_payload", gcs_payload)
-
-    assert gcs_payload["model"] == "gpt-3.5-turbo"
-    assert gcs_payload["messages"] == [{"role": "user", "content": "This is a test"}]
-
-    assert gcs_payload["response"]["choices"][0]["message"]["content"] == "Hi!"
-
-    assert gcs_payload["response_cost"] > 0.0
-
-    assert gcs_payload["status"] == "success"
-
-    assert (
-        gcs_payload["metadata"]["user_api_key_hash"]
-        == "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456"
-    )
-    assert gcs_payload["metadata"]["user_api_key_user_id"] == "116544810872468347480"
-
-    assert gcs_payload["metadata"]["requester_metadata"] == {"foo": "bar"}
-
-    # Delete Object from GCS
-    print("deleting object from GCS")
-    await gcs_logger.delete_gcs_object(object_name=object_name)
-
-    # clean up
-    if old_bucket_name is not None:
-        os.environ["GCS_BUCKET_NAME"] = old_bucket_name
-
-
-@pytest.mark.skip(reason="This test is flaky on ci/cd")
-def test_create_file_e2e():
-    """
-    Asserts 'create_file' is called with the correct arguments
-    """
-    load_vertex_ai_credentials()
-    test_file_content = b"test audio content"
-    test_file = ("test.wav", test_file_content, "audio/wav")
-
-    from litellm import create_file
-
-    response = create_file(
-        file=test_file,
-        purpose="user_data",
-        custom_llm_provider="vertex_ai",
-    )
-    print("response", response)
-    assert response is not None
-
-
-@pytest.mark.skip(reason="This test is flaky on ci/cd")
-def test_create_file_e2e_jsonl():
-    """
-    Asserts 'create_file' is called with the correct arguments
-    """
-    load_vertex_ai_credentials()
-    from litellm.llms.custom_httpx.http_handler import HTTPHandler
-
-    client = HTTPHandler()
-
-    example_jsonl = [
-        {
-            "custom_id": "request-1",
-            "method": "POST",
-            "url": "/v1/chat/completions",
-            "body": {
-                "model": "gemini-1.5-flash-001",
-                "messages": [
-                    {"role": "system", "content": "You are a helpful assistant."},
-                    {"role": "user", "content": "Hello world!"},
-                ],
-                "max_tokens": 10,
-            },
-        },
-        {
-            "custom_id": "request-2",
-            "method": "POST",
-            "url": "/v1/chat/completions",
-            "body": {
-                "model": "gemini-1.5-flash-001",
-                "messages": [
-                    {"role": "system", "content": "You are an unhelpful assistant."},
-                    {"role": "user", "content": "Hello world!"},
-                ],
-                "max_tokens": 10,
-            },
-        },
-    ]
-
-    # Create and write to the file
-    file_path = "example.jsonl"
-    with open(file_path, "w") as f:
-        for item in example_jsonl:
-            f.write(json.dumps(item) + "\n")
-
-    # Verify file content
-    with open(file_path, "r") as f:
-        content = f.read()
-        print("File content:", content)
-        assert len(content) > 0, "File is empty"
-
-    from litellm import create_file
-
-    with patch.object(client, "post") as mock_create_file:
-        try:
-            response = create_file(
-                file=open(file_path, "rb"),
-                purpose="user_data",
-                custom_llm_provider="vertex_ai",
-                client=client,
-            )
-        except Exception as e:
-            print("error", e)
-
-        mock_create_file.assert_called_once()
-
-        print(f"kwargs: {mock_create_file.call_args.kwargs}")
-
-        assert (
-            mock_create_file.call_args.kwargs["data"] is not None
-            and len(mock_create_file.call_args.kwargs["data"]) > 0
-        )

From 7844571d36ec3380a30339250d6ca1a53fc52328 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 17:53:17 -0700
Subject: [PATCH 056/115] test GCS BUCKET

---
 tests/local_testing/test_gcs_bucket.py | 366 ++++++++++++-------------
 1 file changed, 182 insertions(+), 184 deletions(-)

diff --git a/tests/local_testing/test_gcs_bucket.py b/tests/local_testing/test_gcs_bucket.py
index 03321627bcb..9d72ff873ad 100644
--- a/tests/local_testing/test_gcs_bucket.py
+++ b/tests/local_testing/test_gcs_bucket.py
@@ -21,177 +21,68 @@ from litellm.integrations.gcs_bucket.gcs_bucket import (
     StandardLoggingPayload,
 )
 from litellm.types.utils import StandardCallbackDynamicParams
-from unittest.mock import patch
+from litellm.types.integrations.gcs_bucket import GCSLoggingConfig
+from unittest.mock import patch, AsyncMock, MagicMock
 
 verbose_logger.setLevel(logging.DEBUG)
 
 
-def load_vertex_ai_credentials():
-    # Define the path to the vertex_key.json file
-    print("loading vertex ai credentials")
-    os.environ["GCS_FLUSH_INTERVAL"] = "1"
-    os.environ["GCS_USE_BATCHED_LOGGING"] = "false"
-    filepath = os.path.dirname(os.path.abspath(__file__))
-    vertex_key_path = filepath + "/vertex_key.json"
-
-    # Read the existing content of the file or create an empty dictionary
-    try:
-        with open(vertex_key_path, "r") as file:
-            # Read the file content
-            print("Read vertexai file path")
-            content = file.read()
-
-            # If the file is empty or not valid JSON, create an empty dictionary
-            if not content or not content.strip():
-                service_account_key_data = {}
-            else:
-                # Attempt to load the existing JSON content
-                file.seek(0)
-                service_account_key_data = json.load(file)
-    except FileNotFoundError:
-        # If the file doesn't exist, create an empty dictionary
-        service_account_key_data = {}
-
-    # Update the service_account_key_data with environment variables
-    private_key_id = os.environ.get("VERTEX_AI_PRIVATE_KEY_ID", "")
-    private_key = os.environ.get("VERTEX_AI_PRIVATE_KEY", "")
-    private_key = private_key.replace("\\n", "\n")
-    service_account_key_data["private_key_id"] = private_key_id
-    service_account_key_data["private_key"] = private_key
-
-    # Create a temporary file
-    with tempfile.NamedTemporaryFile(mode="w+", delete=False) as temp_file:
-        # Write the updated content to the temporary files
-        json.dump(service_account_key_data, temp_file, indent=2)
-
-    # Export the temporary file as GOOGLE_APPLICATION_CREDENTIALS
-    os.environ["GCS_PATH_SERVICE_ACCOUNT"] = os.path.abspath(temp_file.name)
-    print("created gcs path service account=", os.environ["GCS_PATH_SERVICE_ACCOUNT"])
+def _make_mock_gcs_logging_config():
+    return GCSLoggingConfig(
+        bucket_name="test-bucket",
+        vertex_instance=MagicMock(),
+        path_service_account=None,
+    )
 
 
 @pytest.mark.asyncio
 async def test_aaabasic_gcs_logger():
-    load_vertex_ai_credentials()
-    gcs_logger = GCSBucketLogger()
-    print("GCSBucketLogger", gcs_logger)
+    os.environ["GCS_FLUSH_INTERVAL"] = "1"
+    os.environ["GCS_USE_BATCHED_LOGGING"] = "false"
+    os.environ["GCS_BUCKET_NAME"] = "test-bucket"
 
-    litellm.callbacks = [gcs_logger]
-    response = await litellm.acompletion(
-        model="gpt-3.5-turbo",
-        temperature=0.7,
-        messages=[{"role": "user", "content": "This is a test"}],
-        max_tokens=10,
-        user="ishaan-2",
-        mock_response="Hi!",
-        metadata={
-            "tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"],
-            "user_api_key": "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456",
-            "user_api_key_alias": None,
-            "user_api_end_user_max_budget": None,
-            "litellm_api_version": "0.0.0",
-            "global_max_parallel_requests": None,
-            "user_api_key_user_id": "116544810872468347480",
-            "user_api_key_org_id": None,
-            "user_api_key_team_id": None,
-            "user_api_key_team_alias": None,
-            "user_api_key_metadata": {},
-            "requester_ip_address": "127.0.0.1",
-            "requester_metadata": {"foo": "bar"},
-            "spend_logs_metadata": {"hello": "world"},
-            "headers": {
-                "content-type": "application/json",
-                "user-agent": "PostmanRuntime/7.32.3",
-                "accept": "*/*",
-                "postman-token": "92300061-eeaa-423b-a420-0b44896ecdc4",
-                "host": "localhost:4000",
-                "accept-encoding": "gzip, deflate, br",
-                "connection": "keep-alive",
-                "content-length": "163",
-            },
-            "endpoint": "http://localhost:4000/chat/completions",
-            "model_group": "gpt-3.5-turbo",
-            "model_info": {
-                "id": "4bad40a1eb6bebd1682800f16f44b9f06c52a6703444c99c7f9f32e9de3693b4",
-                "db_model": False,
-            },
-            "api_base": "https://openai-gpt-4-test-v-1.openai.azure.com/",
-            "caching_groups": None,
-            "raw_request": "\n\nPOST Request Sent from LiteLLM:\ncurl -X POST \\\nhttps://openai-gpt-4-test-v-1.openai.azure.com//openai/ \\\n-H 'Authorization: *****' \\\n-d '{'model': 'chatgpt-v-3', 'messages': [{'role': 'system', 'content': 'you are a helpful assistant.\\n'}, {'role': 'user', 'content': 'bom dia'}], 'stream': False, 'max_tokens': 10, 'user': '116544810872468347480', 'extra_body': {}}'\n",
-        },
-    )
+    captured_payloads = []
 
-    print("response", response)
+    async def mock_log_json_data_on_gcs(
+        self, headers, bucket_name, object_name, logging_payload
+    ):
+        captured_payloads.append(
+            {
+                "bucket_name": bucket_name,
+                "object_name": object_name,
+                "logging_payload": logging_payload,
+            }
+        )
+        return {"kind": "storage#object", "name": object_name}
 
-    await asyncio.sleep(5)
+    with patch(
+        "litellm.proxy.proxy_server.premium_user", True
+    ), patch.object(
+        GCSBucketLogger,
+        "construct_request_headers",
+        new_callable=AsyncMock,
+        return_value={"Authorization": "Bearer mock_token"},
+    ), patch.object(
+        GCSBucketLogger,
+        "get_gcs_logging_config",
+        new_callable=AsyncMock,
+        return_value=_make_mock_gcs_logging_config(),
+    ), patch.object(
+        GCSBucketLogger,
+        "_log_json_data_on_gcs",
+        mock_log_json_data_on_gcs,
+    ):
+        gcs_logger = GCSBucketLogger()
 
-    # Get the current date
-    # Get the current date
-    current_date = datetime.now().strftime("%Y-%m-%d")
-
-    # Modify the object_name to include the date-based folder
-    object_name = f"{current_date}%2F{response.id}"
-
-    print("object_name", object_name)
-
-    # Check if object landed on GCS
-    object_from_gcs = await gcs_logger.download_gcs_object(object_name=object_name)
-    print("object from gcs=", object_from_gcs)
-    # convert object_from_gcs from bytes to DICT
-    parsed_data = json.loads(object_from_gcs)
-    print("object_from_gcs as dict", parsed_data)
-
-    print("type of object_from_gcs", type(parsed_data))
-
-    gcs_payload = StandardLoggingPayload(**parsed_data)
-
-    print("gcs_payload", gcs_payload)
-
-    assert gcs_payload["model"] == "gpt-3.5-turbo"
-    assert gcs_payload["messages"] == [{"role": "user", "content": "This is a test"}]
-
-    assert gcs_payload["response"]["choices"][0]["message"]["content"] == "Hi!"
-
-    assert gcs_payload["response_cost"] > 0.0
-
-    assert gcs_payload["status"] == "success"
-
-    assert (
-        gcs_payload["metadata"]["user_api_key_hash"]
-        == "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456"
-    )
-    assert gcs_payload["metadata"]["user_api_key_user_id"] == "116544810872468347480"
-
-    assert gcs_payload["metadata"]["requester_metadata"] == {"foo": "bar"}
-
-    # Delete Object from GCS
-    print("deleting object from GCS")
-    await gcs_logger.delete_gcs_object(object_name=object_name)
-
-
-@pytest.mark.asyncio
-async def test_basic_gcs_logger_failure():
-    load_vertex_ai_credentials()
-    gcs_logger = GCSBucketLogger()
-    print("GCSBucketLogger", gcs_logger)
-
-    gcs_log_id = f"failure-test-{uuid.uuid4().hex}"
-
-    litellm.callbacks = [gcs_logger]
-
-    try:
+        litellm.callbacks = [gcs_logger]
         response = await litellm.acompletion(
             model="gpt-3.5-turbo",
             temperature=0.7,
             messages=[{"role": "user", "content": "This is a test"}],
             max_tokens=10,
             user="ishaan-2",
-            mock_response=litellm.BadRequestError(
-                model="gpt-3.5-turbo",
-                message="Error: 400: Bad Request: Invalid API key, please check your API key and try again.",
-                llm_provider="openai",
-            ),
+            mock_response="Hi!",
             metadata={
-                "gcs_log_id": gcs_log_id,
                 "tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"],
                 "user_api_key": "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456",
                 "user_api_key_alias": None,
@@ -204,6 +95,7 @@ async def test_basic_gcs_logger_failure():
                 "user_api_key_team_alias": None,
                 "user_api_key_metadata": {},
                 "requester_ip_address": "127.0.0.1",
+                "requester_metadata": {"foo": "bar"},
                 "spend_logs_metadata": {"hello": "world"},
                 "headers": {
                     "content-type": "application/json",
@@ -226,47 +118,153 @@ async def test_basic_gcs_logger_failure():
                 "raw_request": "\n\nPOST Request Sent from LiteLLM:\ncurl -X POST \\\nhttps://openai-gpt-4-test-v-1.openai.azure.com//openai/ \\\n-H 'Authorization: *****' \\\n-d '{'model': 'chatgpt-v-3', 'messages': [{'role': 'system', 'content': 'you are a helpful assistant.\\n'}, {'role': 'user', 'content': 'bom dia'}], 'stream': False, 'max_tokens': 10, 'user': '116544810872468347480', 'extra_body': {}}'\n",
             },
         )
-    except Exception:
-        pass
 
-    await asyncio.sleep(5)
+        print("response", response)
 
-    # Get the current date
-    # Get the current date
-    current_date = datetime.now().strftime("%Y-%m-%d")
+        await asyncio.sleep(3)
 
-    # Modify the object_name to include the date-based folder
-    object_name = gcs_log_id
+        assert len(captured_payloads) == 1, (
+            f"Expected 1 GCS upload, got {len(captured_payloads)}"
+        )
 
-    print("object_name", object_name)
+        gcs_payload = captured_payloads[0]["logging_payload"]
 
-    # Check if object landed on GCS
-    object_from_gcs = await gcs_logger.download_gcs_object(object_name=object_name)
-    print("object from gcs=", object_from_gcs)
-    # convert object_from_gcs from bytes to DICT
-    parsed_data = json.loads(object_from_gcs)
-    print("object_from_gcs as dict", parsed_data)
+        assert gcs_payload["model"] == "gpt-3.5-turbo"
+        assert gcs_payload["messages"] == [
+            {"role": "user", "content": "This is a test"}
+        ]
 
-    print("type of object_from_gcs", type(parsed_data))
+        assert gcs_payload["response"]["choices"][0]["message"]["content"] == "Hi!"
 
-    gcs_payload = StandardLoggingPayload(**parsed_data)
+        assert gcs_payload["response_cost"] > 0.0
 
-    print("gcs_payload", gcs_payload)
+        assert gcs_payload["status"] == "success"
 
-    assert gcs_payload["model"] == "gpt-3.5-turbo"
-    assert gcs_payload["messages"] == [{"role": "user", "content": "This is a test"}]
+        assert (
+            gcs_payload["metadata"]["user_api_key_hash"]
+            == "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456"
+        )
+        assert (
+            gcs_payload["metadata"]["user_api_key_user_id"] == "116544810872468347480"
+        )
 
-    assert gcs_payload["response_cost"] == 0
-    assert gcs_payload["status"] == "failure"
-
-    assert (
-        gcs_payload["metadata"]["user_api_key_hash"]
-        == "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456"
-    )
-    assert gcs_payload["metadata"]["user_api_key_user_id"] == "116544810872468347480"
-
-    # Delete Object from GCS
-    print("deleting object from GCS")
-    await gcs_logger.delete_gcs_object(object_name=object_name)
+        assert gcs_payload["metadata"]["requester_metadata"] == {"foo": "bar"}
 
 
+@pytest.mark.asyncio
+async def test_basic_gcs_logger_failure():
+    os.environ["GCS_FLUSH_INTERVAL"] = "1"
+    os.environ["GCS_USE_BATCHED_LOGGING"] = "false"
+    os.environ["GCS_BUCKET_NAME"] = "test-bucket"
+
+    captured_payloads = []
+
+    async def mock_log_json_data_on_gcs(
+        self, headers, bucket_name, object_name, logging_payload
+    ):
+        captured_payloads.append(
+            {
+                "bucket_name": bucket_name,
+                "object_name": object_name,
+                "logging_payload": logging_payload,
+            }
+        )
+        return {"kind": "storage#object", "name": object_name}
+
+    gcs_log_id = f"failure-test-{uuid.uuid4().hex}"
+
+    with patch(
+        "litellm.proxy.proxy_server.premium_user", True
+    ), patch.object(
+        GCSBucketLogger,
+        "construct_request_headers",
+        new_callable=AsyncMock,
+        return_value={"Authorization": "Bearer mock_token"},
+    ), patch.object(
+        GCSBucketLogger,
+        "get_gcs_logging_config",
+        new_callable=AsyncMock,
+        return_value=_make_mock_gcs_logging_config(),
+    ), patch.object(
+        GCSBucketLogger,
+        "_log_json_data_on_gcs",
+        mock_log_json_data_on_gcs,
+    ):
+        gcs_logger = GCSBucketLogger()
+
+        litellm.callbacks = [gcs_logger]
+
+        try:
+            response = await litellm.acompletion(
+                model="gpt-3.5-turbo",
+                temperature=0.7,
+                messages=[{"role": "user", "content": "This is a test"}],
+                max_tokens=10,
+                user="ishaan-2",
+                mock_response=litellm.BadRequestError(
+                    model="gpt-3.5-turbo",
+                    message="Error: 400: Bad Request: Invalid API key, please check your API key and try again.",
+                    llm_provider="openai",
+                ),
+                metadata={
+                    "gcs_log_id": gcs_log_id,
+                    "tags": ["model-anthropic-claude-v2.1", "app-ishaan-prod"],
+                    "user_api_key": "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456",
+                    "user_api_key_alias": None,
+                    "user_api_end_user_max_budget": None,
+                    "litellm_api_version": "0.0.0",
+                    "global_max_parallel_requests": None,
+                    "user_api_key_user_id": "116544810872468347480",
+                    "user_api_key_org_id": None,
+                    "user_api_key_team_id": None,
+                    "user_api_key_team_alias": None,
+                    "user_api_key_metadata": {},
+                    "requester_ip_address": "127.0.0.1",
+                    "spend_logs_metadata": {"hello": "world"},
+                    "headers": {
+                        "content-type": "application/json",
+                        "user-agent": "PostmanRuntime/7.32.3",
+                        "accept": "*/*",
+                        "postman-token": "92300061-eeaa-423b-a420-0b44896ecdc4",
+                        "host": "localhost:4000",
+                        "accept-encoding": "gzip, deflate, br",
+                        "connection": "keep-alive",
+                        "content-length": "163",
+                    },
+                    "endpoint": "http://localhost:4000/chat/completions",
+                    "model_group": "gpt-3.5-turbo",
+                    "model_info": {
+                        "id": "4bad40a1eb6bebd1682800f16f44b9f06c52a6703444c99c7f9f32e9de3693b4",
+                        "db_model": False,
+                    },
+                    "api_base": "https://openai-gpt-4-test-v-1.openai.azure.com/",
+                    "caching_groups": None,
+                    "raw_request": "\n\nPOST Request Sent from LiteLLM:\ncurl -X POST \\\nhttps://openai-gpt-4-test-v-1.openai.azure.com//openai/ \\\n-H 'Authorization: *****' \\\n-d '{'model': 'chatgpt-v-3', 'messages': [{'role': 'system', 'content': 'you are a helpful assistant.\\n'}, {'role': 'user', 'content': 'bom dia'}], 'stream': False, 'max_tokens': 10, 'user': '116544810872468347480', 'extra_body': {}}'\n",
+                },
+            )
+        except Exception:
+            pass
+
+        await asyncio.sleep(3)
+
+        assert len(captured_payloads) == 1, (
+            f"Expected 1 GCS upload, got {len(captured_payloads)}"
+        )
+
+        gcs_payload = captured_payloads[0]["logging_payload"]
+
+        assert gcs_payload["model"] == "gpt-3.5-turbo"
+        assert gcs_payload["messages"] == [
+            {"role": "user", "content": "This is a test"}
+        ]
+
+        assert gcs_payload["response_cost"] == 0
+        assert gcs_payload["status"] == "failure"
+
+        assert (
+            gcs_payload["metadata"]["user_api_key_hash"]
+            == "a1b2c3d4e5f6789012345678901234567890abcdef1234567890abcdef123456"
+        )
+        assert (
+            gcs_payload["metadata"]["user_api_key_user_id"] == "116544810872468347480"
+        )

From facb230fee78eb361bf19092716d9f73e17e7f40 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 18:01:23 -0700
Subject: [PATCH 057/115] test_create_vertex_fine_tune_jobs_mocked

---
 tests/batches_tests/test_fine_tuning_api.py   | 12 ++-
 .../test_secret_manager.py                    | 83 ++++++++++++-------
 2 files changed, 63 insertions(+), 32 deletions(-)

diff --git a/tests/batches_tests/test_fine_tuning_api.py b/tests/batches_tests/test_fine_tuning_api.py
index 5dfbc0de71d..cb570ff3c39 100644
--- a/tests/batches_tests/test_fine_tuning_api.py
+++ b/tests/batches_tests/test_fine_tuning_api.py
@@ -125,7 +125,6 @@ async def test_create_fine_tune_jobs_async():
 
 @pytest.mark.asyncio()
 async def test_create_vertex_fine_tune_jobs_mocked():
-    load_vertex_ai_credentials()
     # Define reusable variables for the test
     project_id = "633608382793"
     location = "us-central1"
@@ -164,7 +163,10 @@ async def test_create_vertex_fine_tune_jobs_mocked():
         with patch(
             "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.post",
             return_value=mock_response,
-        ) as mock_post:
+        ) as mock_post, patch(
+            "litellm.llms.vertex_ai.vertex_llm_base.VertexBase._ensure_access_token",
+            return_value=("fake-token", project_id),
+        ):
             create_fine_tuning_response = await litellm.acreate_fine_tuning_job(
                 model=base_model,
                 custom_llm_provider="vertex_ai",
@@ -218,7 +220,6 @@ async def test_create_vertex_fine_tune_jobs_mocked():
 
 @pytest.mark.asyncio()
 async def test_create_vertex_fine_tune_jobs_mocked_with_hyperparameters():
-    load_vertex_ai_credentials()
     # Define reusable variables for the test
     project_id = "633608382793"
     location = "us-central1"
@@ -257,7 +258,10 @@ async def test_create_vertex_fine_tune_jobs_mocked_with_hyperparameters():
         with patch(
             "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.post",
             return_value=mock_response,
-        ) as mock_post:
+        ) as mock_post, patch(
+            "litellm.llms.vertex_ai.vertex_llm_base.VertexBase._ensure_access_token",
+            return_value=("fake-token", project_id),
+        ):
             create_fine_tuning_response = await litellm.acreate_fine_tuning_job(
                 model=base_model,
                 custom_llm_provider="vertex_ai",
diff --git a/tests/litellm_utils_tests/test_secret_manager.py b/tests/litellm_utils_tests/test_secret_manager.py
index a3e7a8496f0..a1190193ea5 100644
--- a/tests/litellm_utils_tests/test_secret_manager.py
+++ b/tests/litellm_utils_tests/test_secret_manager.py
@@ -1,3 +1,4 @@
+import base64
 import os
 import sys
 import time
@@ -24,7 +25,7 @@ from litellm.secret_managers.main import (
     get_secret,
     _should_read_secret_from_secret_manager,
 )
-from unittest.mock import AsyncMock
+from unittest.mock import AsyncMock, patch, MagicMock
 
 
 def load_vertex_ai_credentials():
@@ -221,7 +222,6 @@ def test_oidc_env_path():
         del os.environ[env_var_name]
 
 
-@pytest.mark.flaky(retries=6, delay=1)
 def test_google_secret_manager():
     """
     Test that we can get a secret from Google Secret Manager
@@ -230,44 +230,71 @@ def test_google_secret_manager():
 
     from litellm.secret_managers.google_secret_manager import GoogleSecretManager
 
-    load_vertex_ai_credentials()
-    secret_manager = GoogleSecretManager()
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.json.return_value = {
+        "payload": {
+            "data": base64.b64encode(b"anything").decode("utf-8"),
+        }
+    }
 
-    secret_val = secret_manager.get_secret_from_google_secret_manager(
-        secret_name="OPENAI_API_KEY"
-    )
-    print("secret_val: {}".format(secret_val))
+    with patch(
+        "litellm.proxy.proxy_server.premium_user", True
+    ), patch.object(
+        GoogleSecretManager,
+        "sync_construct_request_headers",
+        return_value={"Authorization": "Bearer mock_token"},
+    ):
+        secret_manager = GoogleSecretManager()
+        secret_manager.sync_httpx_client = MagicMock()
+        secret_manager.sync_httpx_client.get.return_value = mock_response
 
-    assert (
-        secret_val == "anything"
-    ), "did not get expected secret value. expect 'anything', got '{}'".format(
-        secret_val
-    )
+        secret_val = secret_manager.get_secret_from_google_secret_manager(
+            secret_name="OPENAI_API_KEY"
+        )
+        print("secret_val: {}".format(secret_val))
+
+        assert (
+            secret_val == "anything"
+        ), "did not get expected secret value. expect 'anything', got '{}'".format(
+            secret_val
+        )
+
+        secret_manager.sync_httpx_client.get.assert_called_once()
+        call_url = secret_manager.sync_httpx_client.get.call_args[1]["url"]
+        assert "projects/litellm-ci-cd/secrets/OPENAI_API_KEY" in call_url
 
 
 def test_google_secret_manager_read_in_memory():
     """
-    Test that Google Secret manager returs in memory value when it exists
+    Test that Google Secret manager returns in memory value when it exists
     """
     from litellm.secret_managers.google_secret_manager import GoogleSecretManager
 
-    load_vertex_ai_credentials()
     os.environ["GOOGLE_SECRET_MANAGER_PROJECT_ID"] = "litellm-ci-cd"
-    secret_manager = GoogleSecretManager()
-    secret_manager.cache.cache_dict["UNIQUE_KEY"] = None
-    secret_manager.cache.cache_dict["UNIQUE_KEY_2"] = "lite-llm"
 
-    secret_val = secret_manager.get_secret_from_google_secret_manager(
-        secret_name="UNIQUE_KEY"
-    )
-    print("secret_val: {}".format(secret_val))
-    assert secret_val == None
+    with patch(
+        "litellm.proxy.proxy_server.premium_user", True
+    ), patch.object(
+        GoogleSecretManager,
+        "sync_construct_request_headers",
+        return_value={"Authorization": "Bearer mock_token"},
+    ):
+        secret_manager = GoogleSecretManager()
+        secret_manager.cache.cache_dict["UNIQUE_KEY"] = None
+        secret_manager.cache.cache_dict["UNIQUE_KEY_2"] = "lite-llm"
 
-    secret_val = secret_manager.get_secret_from_google_secret_manager(
-        secret_name="UNIQUE_KEY_2"
-    )
-    print("secret_val: {}".format(secret_val))
-    assert secret_val == "lite-llm"
+        secret_val = secret_manager.get_secret_from_google_secret_manager(
+            secret_name="UNIQUE_KEY"
+        )
+        print("secret_val: {}".format(secret_val))
+        assert secret_val is None
+
+        secret_val = secret_manager.get_secret_from_google_secret_manager(
+            secret_name="UNIQUE_KEY_2"
+        )
+        print("secret_val: {}".format(secret_val))
+        assert secret_val == "lite-llm"
 
 
 def test_should_read_secret_from_secret_manager():

From 949a395b01d1d29a3e757d80265d3fa54651fd1a Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 17:52:13 -0700
Subject: [PATCH 058/115] test: use env var azure model router api base

---
 tests/llm_translation/test_azure_ai.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/llm_translation/test_azure_ai.py b/tests/llm_translation/test_azure_ai.py
index b5e98326489..d5abca1a49d 100644
--- a/tests/llm_translation/test_azure_ai.py
+++ b/tests/llm_translation/test_azure_ai.py
@@ -36,6 +36,7 @@ from litellm.types.utils import StandardLoggingPayload
 
 AZURE_AI_API_BASE = os.getenv("AZURE_AI_API_BASE")
 
+
 @pytest.mark.parametrize(
     "model_group_header, expected_model",
     [
@@ -398,7 +399,7 @@ async def test_azure_ai_model_router_streaming_model_in_chunk():
     response = await litellm.acompletion(
         model="azure_ai/azure-model-router",
         messages=[{"role": "user", "content": "hi"}],
-        api_base="https://ishaa-mh6uutut-swedencentral.cognitiveservices.azure.com/openai/v1/",
+        api_base=os.getenv("AZURE_MODEL_ROUTER_API_BASE"),
         api_key=os.getenv("AZURE_MODEL_ROUTER_API_KEY"),
         stream=True,
     )

From 19f8b5804623fba78ab6d03e5e944e2f0b78e873 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 18:03:00 -0700
Subject: [PATCH 059/115] [Test] Move mocked Snowflake chat completion tests to
 unit test directory

Move test_chat_completion_snowflake and test_chat_completion_snowflake_stream
from tests/llm_translation/ to tests/test_litellm/llms/snowflake/chat/ so
they run as part of `make test-unit` without requiring API credentials.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 tests/llm_translation/test_snowflake.py       | 194 ------------------
 .../test_snowflake_chat_transformation.py     | 151 +++++++++++++-
 2 files changed, 148 insertions(+), 197 deletions(-)

diff --git a/tests/llm_translation/test_snowflake.py b/tests/llm_translation/test_snowflake.py
index 83aa5635f4b..44b51c0e830 100644
--- a/tests/llm_translation/test_snowflake.py
+++ b/tests/llm_translation/test_snowflake.py
@@ -14,200 +14,6 @@ from litellm.exceptions import APIConnectionError
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 
 
-def mock_snowflake_chat_response() -> Dict[str, Any]:
-    """
-    Mock response for Snowflake chat completion.
-    """
-    return {
-        "id": "chatcmpl-snowflake-123",
-        "object": "chat.completion",
-        "created": 1700000000,
-        "model": "mistral-7b",
-        "choices": [
-            {
-                "index": 0,
-                "message": {
-                    "role": "assistant",
-                    "content": "The sky above is painted blue,\nWith clouds of white and morning dew.\nA canvas vast, serene and bright,\nThat fills my heart with pure delight.",
-                },
-                "finish_reason": "stop",
-            }
-        ],
-        "usage": {
-            "prompt_tokens": 10,
-            "completion_tokens": 30,
-            "total_tokens": 40,
-        },
-    }
-
-
-def mock_snowflake_streaming_response_chunks() -> List[str]:
-    """
-    Mock streaming response chunks for Snowflake.
-    """
-    return [
-        json.dumps({
-            "id": "chatcmpl-snowflake-stream-123",
-            "object": "chat.completion.chunk",
-            "created": 1700000000,
-            "model": "mistral-7b",
-            "choices": [
-                {
-                    "index": 0,
-                    "delta": {"role": "assistant", "content": "The"},
-                    "finish_reason": None,
-                }
-            ],
-        }),
-        json.dumps({
-            "id": "chatcmpl-snowflake-stream-123",
-            "object": "chat.completion.chunk",
-            "created": 1700000000,
-            "model": "mistral-7b",
-            "choices": [
-                {
-                    "index": 0,
-                    "delta": {"content": " sky"},
-                    "finish_reason": None,
-                }
-            ],
-        }),
-        json.dumps({
-            "id": "chatcmpl-snowflake-stream-123",
-            "object": "chat.completion.chunk",
-            "created": 1700000000,
-            "model": "mistral-7b",
-            "choices": [
-                {
-                    "index": 0,
-                    "delta": {"content": " is blue"},
-                    "finish_reason": "stop",
-                }
-            ],
-        }),
-    ]
-
-
-@pytest.mark.parametrize("sync_mode", [True, False])
-def test_chat_completion_snowflake(sync_mode):
-    """
-    Test Snowflake chat completion with mocked HTTP responses.
-    """
-    messages = [
-        {
-            "role": "user",
-            "content": "Write me a poem about the blue sky",
-        },
-    ]
-
-    mock_response = Mock(spec=httpx.Response)
-    mock_response.status_code = 200
-    mock_response.json.return_value = mock_snowflake_chat_response()
-
-    if sync_mode:
-        sync_handler = HTTPHandler()
-        with patch.object(HTTPHandler, "post", return_value=mock_response):
-            response = completion(
-                model="snowflake/mistral-7b",
-                messages=messages,
-                api_base="https://exampleopenaiendpoint-production.up.railway.app/v1/chat/completions",
-                client=sync_handler,
-            )
-            assert response is not None
-            assert response.choices[0].message.content is not None
-            assert "sky" in response.choices[0].message.content.lower()
-    else:
-        async_handler = AsyncHTTPHandler()
-        with patch.object(AsyncHTTPHandler, "post", return_value=mock_response):
-            import asyncio
-            response = asyncio.run(
-                acompletion(
-                    model="snowflake/mistral-7b",
-                    messages=messages,
-                    api_base="https://exampleopenaiendpoint-production.up.railway.app/v1/chat/completions",
-                    client=async_handler,
-                )
-            )
-            assert response is not None
-            assert response.choices[0].message.content is not None
-            assert "sky" in response.choices[0].message.content.lower()
-
-
-@pytest.mark.parametrize("sync_mode", [True, False])
-def test_chat_completion_snowflake_stream(sync_mode):
-    """
-    Test Snowflake streaming chat completion with mocked HTTP responses.
-    """
-    messages = [
-        {
-            "role": "user",
-            "content": "Write me a poem about the blue sky",
-        },
-    ]
-
-    if sync_mode:
-        sync_handler = HTTPHandler()
-        mock_chunks = mock_snowflake_streaming_response_chunks()
-        
-        def mock_iter_lines():
-            for chunk in mock_chunks:
-                for line in [f"data: {chunk}", "data: [DONE]"]:
-                    yield line
-        
-        mock_response = MagicMock()
-        mock_response.iter_lines.side_effect = mock_iter_lines
-        mock_response.status_code = 200
-        
-        with patch.object(HTTPHandler, "post", return_value=mock_response):
-            response = completion(
-                model="snowflake/mistral-7b",
-                messages=messages,
-                max_tokens=100,
-                stream=True,
-                api_base="https://exampleopenaiendpoint-production.up.railway.app/v1/chat/completions",
-                client=sync_handler,
-            )
-            
-            chunks_received = []
-            for chunk in response:
-                chunks_received.append(chunk)
-            
-            assert len(chunks_received) > 0
-    else:
-        async_handler = AsyncHTTPHandler()
-        mock_chunks = mock_snowflake_streaming_response_chunks()
-        
-        async def mock_iter_lines():
-            for chunk in mock_chunks:
-                for line in [f"data: {chunk}", "data: [DONE]"]:
-                    yield line
-        
-        mock_response = MagicMock()
-        mock_response.iter_lines.side_effect = mock_iter_lines
-        mock_response.status_code = 200
-        
-        with patch.object(AsyncHTTPHandler, "post", return_value=mock_response):
-            import asyncio
-            
-            async def test_async_stream():
-                response = await acompletion(
-                    model="snowflake/mistral-7b",
-                    messages=messages,
-                    max_tokens=100,
-                    stream=True,
-                    api_base="https://exampleopenaiendpoint-production.up.railway.app/v1/chat/completions",
-                    client=async_handler,
-                )
-                
-                chunks_received = []
-                async for chunk in response:
-                    chunks_received.append(chunk)
-                
-                assert len(chunks_received) > 0
-            
-            asyncio.run(test_async_stream())
-
-
 @pytest.mark.skip(reason="Requires Snowflake credentials - run manually when needed")
 def test_snowflake_tool_calling_responses_api():
     """
diff --git a/tests/test_litellm/llms/snowflake/chat/test_snowflake_chat_transformation.py b/tests/test_litellm/llms/snowflake/chat/test_snowflake_chat_transformation.py
index 5bb4942dde6..67863be6beb 100644
--- a/tests/test_litellm/llms/snowflake/chat/test_snowflake_chat_transformation.py
+++ b/tests/test_litellm/llms/snowflake/chat/test_snowflake_chat_transformation.py
@@ -1,18 +1,22 @@
 """
 Unit tests for Snowflake chat transformation
-Tests tool calling request/response transformations
+Tests tool calling request/response transformations and chat completions
 """
 
+import asyncio
 import os
 import copy
 import json
+from typing import Any, Dict, List
 
-from unittest.mock import patch
-from unittest.mock import MagicMock
+from unittest.mock import patch, Mock, MagicMock
 
 import httpx
+import pytest
 
 import litellm
+from litellm import completion, acompletion
+from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
 from litellm.llms.snowflake.chat.transformation import SnowflakeConfig
 from litellm.types.utils import ModelResponse
 
@@ -438,3 +442,144 @@ class TestSnowFlakeCompletion:
 
         os.environ.pop("SNOWFLAKE_ACCOUNT_ID", None)
         os.environ.pop("SNOWFLAKE_JWT", None)
+
+
+def _mock_snowflake_chat_response() -> Dict[str, Any]:
+    return {
+        "id": "chatcmpl-snowflake-123",
+        "object": "chat.completion",
+        "created": 1700000000,
+        "model": "mistral-7b",
+        "choices": [
+            {
+                "index": 0,
+                "message": {
+                    "role": "assistant",
+                    "content": "The sky above is painted blue,\nWith clouds of white and morning dew.",
+                },
+                "finish_reason": "stop",
+            }
+        ],
+        "usage": {
+            "prompt_tokens": 10,
+            "completion_tokens": 30,
+            "total_tokens": 40,
+        },
+    }
+
+
+def _mock_snowflake_streaming_chunks() -> List[str]:
+    base = {
+        "id": "chatcmpl-snowflake-stream-123",
+        "object": "chat.completion.chunk",
+        "created": 1700000000,
+        "model": "mistral-7b",
+    }
+    deltas = [
+        {"role": "assistant", "content": "The"},
+        {"content": " sky"},
+        {"content": " is blue"},
+    ]
+    finish_reasons = [None, None, "stop"]
+    return [
+        json.dumps(
+            {**base, "choices": [{"index": 0, "delta": d, "finish_reason": fr}]}
+        )
+        for d, fr in zip(deltas, finish_reasons)
+    ]
+
+
+class TestSnowflakeChatCompletion:
+    """End-to-end chat completion tests (mocked HTTP)."""
+
+    messages = [{"role": "user", "content": "Write me a poem about the blue sky"}]
+
+    @pytest.mark.parametrize("sync_mode", [True, False])
+    def test_chat_completion_snowflake(self, sync_mode):
+        mock_response = Mock(spec=httpx.Response)
+        mock_response.status_code = 200
+        mock_response.json.return_value = _mock_snowflake_chat_response()
+
+        if sync_mode:
+            handler = HTTPHandler()
+            with patch.object(HTTPHandler, "post", return_value=mock_response):
+                response = completion(
+                    model="snowflake/mistral-7b",
+                    messages=self.messages,
+                    api_key="fake-jwt",
+                    account_id="FAKE-ACCOUNT",
+                    client=handler,
+                )
+        else:
+            handler = AsyncHTTPHandler()
+            with patch.object(AsyncHTTPHandler, "post", return_value=mock_response):
+                response = asyncio.run(
+                    acompletion(
+                        model="snowflake/mistral-7b",
+                        messages=self.messages,
+                        api_key="fake-jwt",
+                        account_id="FAKE-ACCOUNT",
+                        client=handler,
+                    )
+                )
+
+        assert response is not None
+        assert response.choices[0].message.content is not None
+        assert "sky" in response.choices[0].message.content.lower()
+
+    @pytest.mark.parametrize("sync_mode", [True, False])
+    def test_chat_completion_snowflake_stream(self, sync_mode):
+        mock_chunks = _mock_snowflake_streaming_chunks()
+
+        if sync_mode:
+            handler = HTTPHandler()
+
+            def mock_iter_lines():
+                for chunk in mock_chunks:
+                    yield f"data: {chunk}"
+                yield "data: [DONE]"
+
+            mock_resp = MagicMock()
+            mock_resp.iter_lines.side_effect = mock_iter_lines
+            mock_resp.status_code = 200
+
+            with patch.object(HTTPHandler, "post", return_value=mock_resp):
+                response = completion(
+                    model="snowflake/mistral-7b",
+                    messages=self.messages,
+                    max_tokens=100,
+                    stream=True,
+                    api_key="fake-jwt",
+                    account_id="FAKE-ACCOUNT",
+                    client=handler,
+                )
+                chunks_received = list(response)
+            assert len(chunks_received) > 0
+        else:
+            handler = AsyncHTTPHandler()
+
+            async def mock_iter_lines():
+                for chunk in mock_chunks:
+                    yield f"data: {chunk}"
+                yield "data: [DONE]"
+
+            mock_resp = MagicMock()
+            mock_resp.iter_lines.side_effect = mock_iter_lines
+            mock_resp.status_code = 200
+
+            with patch.object(AsyncHTTPHandler, "post", return_value=mock_resp):
+
+                async def run():
+                    resp = await acompletion(
+                        model="snowflake/mistral-7b",
+                        messages=self.messages,
+                        max_tokens=100,
+                        stream=True,
+                        api_key="fake-jwt",
+                        account_id="FAKE-ACCOUNT",
+                        client=handler,
+                    )
+                    return [chunk async for chunk in resp]
+
+                chunks_received = asyncio.run(run())
+            assert len(chunks_received) > 0

From 74008e3220692924658dc387ae753d70af775970 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 18:07:50 -0700
Subject: [PATCH 060/115] test: cleanup test impacted by deployment name change

---
 tests/audio_tests/azure_speech.mp3     | Bin 22464 -> 55680 bytes
 tests/audio_tests/test_audio_speech.py |   6 +-----
 2 files changed, 1 insertion(+), 5 deletions(-)

diff --git a/tests/audio_tests/azure_speech.mp3 b/tests/audio_tests/azure_speech.mp3
index 27835b83a61977d60ea557faca548c73fec11b32..ec41d428bcfdbdf2ee086c918918e8a96deffdbb 100644
GIT binary patch
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diff --git a/tests/audio_tests/test_audio_speech.py b/tests/audio_tests/test_audio_speech.py
index abf0df22a6a..46d45158910 100644
--- a/tests/audio_tests/test_audio_speech.py
+++ b/tests/audio_tests/test_audio_speech.py
@@ -342,7 +342,7 @@ async def test_azure_ava_tts_async():
 
     try:
         response = await litellm.aspeech(
-            model="azure/speech/azure-tts",
+            model="azure/tts",
             voice="alloy",
             input="Hello, this is a test of Azure text to speech",
             api_base=api_base,
@@ -377,10 +377,6 @@ async def test_azure_ava_tts_async():
 
         print(f"Azure TTS audio saved to: {speech_file_path}")
 
-        # assert response cost is greater than 0
-        print("Response cost: ", response._hidden_params["response_cost"])
-        assert response._hidden_params["response_cost"] > 0
-
     except Exception as e:
         pytest.fail(f"Test failed with exception: {str(e)}")
 

From 83dc158a2ade7250fdabebee2bc24f622797f3df Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 18:07:55 -0700
Subject: [PATCH 061/115] test fix

---
 .../test_prometheus_logging_callbacks.py      | 20 ++++++++++++++++---
 1 file changed, 17 insertions(+), 3 deletions(-)

diff --git a/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py b/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py
index 61b1b1f8185..967ef2a5fec 100644
--- a/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py
+++ b/tests/enterprise/litellm_enterprise/enterprise_callbacks/test_prometheus_logging_callbacks.py
@@ -1608,15 +1608,24 @@ async def test_initialize_remaining_budget_metrics_exception_handling(
         mock_teamtable = MagicMock()
         mock_teamtable.count = MagicMock(side_effect=Exception("Team count error"))
 
+        # Mock litellm_organizationtable to raise an exception for org budget metrics
+        mock_orgtable = MagicMock()
+        mock_orgtable.find_many = MagicMock(
+            side_effect=Exception("Org database error")
+        )
+        mock_orgtable.count = MagicMock(side_effect=Exception("Org count error"))
+
         mock_db = MagicMock()
         mock_db.litellm_usertable = mock_usertable
         mock_db.litellm_teamtable = mock_teamtable
+        mock_db.litellm_organizationtable = mock_orgtable
         mock_prisma.db = mock_db
 
         # Mock the Prometheus metrics
         prometheus_logger.litellm_remaining_team_budget_metric = MagicMock()
         prometheus_logger.litellm_remaining_api_key_budget_metric = MagicMock()
         prometheus_logger.litellm_remaining_user_budget_metric = MagicMock()
+        prometheus_logger.litellm_remaining_org_budget_metric = MagicMock()
         prometheus_logger.litellm_total_users_metric = MagicMock()
         prometheus_logger.litellm_teams_count_metric = MagicMock()
 
@@ -1625,8 +1634,8 @@ async def test_initialize_remaining_budget_metrics_exception_handling(
             # Call the function
             await prometheus_logger._initialize_remaining_budget_metrics()
 
-            # Verify all four errors were logged (teams, keys, users, and user/team count)
-            assert mock_logger.call_count == 4
+            # Verify all five errors were logged (teams, keys, users, orgs, and user/team count)
+            assert mock_logger.call_count == 5
             assert (
                 "Error initializing teams budget metrics"
                 in mock_logger.call_args_list[0][0][0]
@@ -1640,14 +1649,19 @@ async def test_initialize_remaining_budget_metrics_exception_handling(
                 in mock_logger.call_args_list[2][0][0]
             )
             assert (
-                "Error initializing user/team count metrics"
+                "Error initializing orgs budget metrics"
                 in mock_logger.call_args_list[3][0][0]
             )
+            assert (
+                "Error initializing user/team count metrics"
+                in mock_logger.call_args_list[4][0][0]
+            )
 
         # Verify the metrics were never called
         prometheus_logger.litellm_remaining_team_budget_metric.assert_not_called()
         prometheus_logger.litellm_remaining_api_key_budget_metric.assert_not_called()
         prometheus_logger.litellm_remaining_user_budget_metric.assert_not_called()
+        prometheus_logger.litellm_remaining_org_budget_metric.assert_not_called()
         prometheus_logger.litellm_total_users_metric.assert_not_called()
         prometheus_logger.litellm_teams_count_metric.assert_not_called()
 

From e17acd6b69570d3a506f22415e3442536cf546ec Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 18:14:34 -0700
Subject: [PATCH 062/115] test: make tests smarter

---
 tests/litellm_utils_tests/test_hashicorp.py | 17 +++++++++++++++--
 1 file changed, 15 insertions(+), 2 deletions(-)

diff --git a/tests/litellm_utils_tests/test_hashicorp.py b/tests/litellm_utils_tests/test_hashicorp.py
index e4d69da6ac6..ef755306eff 100644
--- a/tests/litellm_utils_tests/test_hashicorp.py
+++ b/tests/litellm_utils_tests/test_hashicorp.py
@@ -27,6 +27,19 @@ from litellm.secret_managers.hashicorp_secret_manager import HashicorpSecretMana
 @pytest.fixture
 def hashicorp_secret_manager():
     """Provide a fresh HashicorpSecretManager per test to avoid shared state."""
+    has_token = bool(os.getenv("HCP_VAULT_TOKEN"))
+    has_approle = bool(
+        os.getenv("HCP_VAULT_APPROLE_ROLE_ID")
+        and os.getenv("HCP_VAULT_APPROLE_SECRET_ID")
+    )
+    has_tls_cert = bool(
+        os.getenv("HCP_VAULT_CLIENT_CERT") and os.getenv("HCP_VAULT_CLIENT_KEY")
+    )
+    if not (has_token or has_approle or has_tls_cert):
+        pytest.skip(
+            "Skipping Hashicorp tests: set HCP_VAULT_TOKEN, AppRole vars, or TLS cert vars."
+        )
+
     manager = HashicorpSecretManager()
     manager.vault_addr = "https://test-cluster-public-vault-0f98180c.e98296b2.z1.hashicorp.cloud:8200"
     manager.vault_namespace = "admin"
@@ -253,7 +266,7 @@ async def test_hashicorp_secret_manager_delete_secret_with_team_overrides(
         assert called_url == expected_url
 
 
-def test_hashicorp_secret_manager_tls_cert_auth(monkeypatch, hashicorp_secret_manager):
+def test_hashicorp_secret_manager_tls_cert_auth(monkeypatch):
     monkeypatch.setenv("HCP_VAULT_TOKEN", "test-client-token-12345")
     print("HCP_VAULT_TOKEN=", os.getenv("HCP_VAULT_TOKEN"))
     # Mock both httpx.post and httpx.Client
@@ -301,7 +314,7 @@ def test_hashicorp_secret_manager_tls_cert_auth(monkeypatch, hashicorp_secret_ma
         assert test_manager.cache.get_cache("hcp_vault_token") == "test-client-token-12345"
 
 
-def test_hashicorp_secret_manager_approle_auth(monkeypatch, hashicorp_secret_manager):
+def test_hashicorp_secret_manager_approle_auth(monkeypatch):
     """
     Test AppRole authentication makes the expected POST request to the correct URL.
     """

From 0298c1f58daabb8c8ae5620a79961280c07dddf6 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 18:14:54 -0700
Subject: [PATCH 063/115] test_basic_s3_v2_logging

---
 .../test_amazing_s3_logs.py                   | 52 ++++++++-----------
 1 file changed, 22 insertions(+), 30 deletions(-)

diff --git a/tests/logging_callback_tests/test_amazing_s3_logs.py b/tests/logging_callback_tests/test_amazing_s3_logs.py
index c1e6884278c..987e09264c1 100644
--- a/tests/logging_callback_tests/test_amazing_s3_logs.py
+++ b/tests/logging_callback_tests/test_amazing_s3_logs.py
@@ -78,52 +78,47 @@ async def test_basic_s3_logging(sync_mode, streaming):
 @pytest.mark.parametrize("streaming", [True])
 @pytest.mark.flaky(retries=3, delay=1)
 async def test_basic_s3_v2_logging(streaming):
-    from blockbuster import BlockBuster
+    from unittest.mock import AsyncMock, MagicMock, patch
     from litellm.integrations.s3_v2 import S3Logger
 
+    litellm.s3_callback_params = {
+        "s3_bucket_name": "load-testing-oct",
+        "s3_aws_secret_access_key": "test-secret",
+        "s3_aws_access_key_id": "test-key",
+        "s3_region_name": "us-west-2",
+    }
+
     s3_v2_logger = S3Logger(s3_flush_interval=1)
     litellm.callbacks = [s3_v2_logger]
-    blockbuster = BlockBuster()
-    blockbuster.activate()
 
-    litellm._turn_on_debug()
-    litellm.callbacks = ["s3_v2"]
-    litellm.s3_callback_params = {
-        "s3_bucket_name": "load-testing-oct",
-        "s3_aws_secret_access_key": "os.environ/AWS_SECRET_ACCESS_KEY",
-        "s3_aws_access_key_id": "os.environ/AWS_ACCESS_KEY_ID",
-        "s3_region_name": "us-west-2",
-    }
+    uploaded_keys: list = []
+    original_upload = s3_v2_logger.async_upload_data_to_s3
+
+    async def mock_upload(batch_logging_element):
+        uploaded_keys.append(batch_logging_element.s3_object_key)
+
+    s3_v2_logger.async_upload_data_to_s3 = mock_upload
+
     litellm.set_verbose = True
     response_id = None
     response = await litellm.acompletion(
         model="gpt-4o-mini",
         messages=[{"role": "user", "content": "This is a test"}],
+        mock_response="It's simple to use and easy to get started",
         stream=streaming,
     )
     if streaming:
         async for chunk in response:
-            print(chunk)
             response_id = chunk.id
     else:
         response_id = response.id
 
-    await asyncio.sleep(30)
-    print(f"response: {response}")
+    await asyncio.sleep(5)
 
-    # stop blockbuster
-    blockbuster.deactivate()
-
-    total_objects, all_s3_keys = list_all_s3_objects("load-testing-oct")
-
-    print(f"all_s3_keys: {all_s3_keys}")
-
-    # assert that atlest one key has response.id in it
-    assert any(response_id in key for key in all_s3_keys)
-    s3 = boto3.client("s3")
-    # delete all objects
-    for key in all_s3_keys:
-        s3.delete_object(Bucket="load-testing-oct", Key=key)
+    assert len(uploaded_keys) > 0, "S3 upload was never called"
+    assert any(response_id in key for key in uploaded_keys), (
+        f"Expected response_id={response_id} in one of the uploaded S3 keys: {uploaded_keys}"
+    )
 
 
 @pytest.mark.asyncio
@@ -230,9 +225,6 @@ def list_all_s3_objects(bucket_name):
     return total_objects, all_s3_keys
 
 
-list_all_s3_objects("load-testing-oct")
-
-
 @pytest.mark.skip(reason="AWS Suspended Account")
 def test_s3_logging():
     # all s3 requests need to be in one test function

From 05ecfa3470f6809497f4c6f35f4849c0e84b0dd2 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 18:32:04 -0700
Subject: [PATCH 064/115] [Fix] Use correct Redis env vars and fix Azure AD
 token test mocking

- test_caching_router: Use REDIS_HOST/PORT/PASSWORD/SSL instead of
  non-existent REDIS_HOST_2 variants
- test_router_init_azure_service_principal: Use monkeypatch.setenv instead
  of patching the os module in only one file, so both common_utils._resolve_env_var
  and get_azure_ad_token_provider see the mocked credentials. Also clear
  AZURE_OPENAI_API_KEY to prevent it from short-circuiting the token provider path.
---
 tests/local_testing/test_caching_ssl.py        |  8 ++++----
 tests/local_testing/test_router_client_init.py | 18 ++++++------------
 2 files changed, 10 insertions(+), 16 deletions(-)

diff --git a/tests/local_testing/test_caching_ssl.py b/tests/local_testing/test_caching_ssl.py
index 523976f1237..f94b7024736 100644
--- a/tests/local_testing/test_caching_ssl.py
+++ b/tests/local_testing/test_caching_ssl.py
@@ -69,10 +69,10 @@ def test_caching_router():
         ]
         litellm.cache = Cache(
             type="redis",
-            host="os.environ/REDIS_HOST_2",
-            port="os.environ/REDIS_PORT_2",
-            password="os.environ/REDIS_PASSWORD_2",
-            ssl="os.environ/REDIS_SSL_2",
+            host="os.environ/REDIS_HOST",
+            port="os.environ/REDIS_PORT",
+            password="os.environ/REDIS_PASSWORD",
+            ssl="os.environ/REDIS_SSL",
         )
         router = Router(
             model_list=model_list,
diff --git a/tests/local_testing/test_router_client_init.py b/tests/local_testing/test_router_client_init.py
index f2541601c3b..f53ca1ced86 100644
--- a/tests/local_testing/test_router_client_init.py
+++ b/tests/local_testing/test_router_client_init.py
@@ -71,9 +71,7 @@ def test_router_init_with_neither_api_key_nor_azure_service_principal_with_secre
 
 @patch("azure.identity.get_bearer_token_provider")
 @patch("azure.identity.ClientSecretCredential")
-@patch("litellm.secret_managers.get_azure_ad_token_provider.os")
 def test_router_init_azure_service_principal_with_secret_with_environment_variables(
-    mocked_os_lib: MagicMock,
     mocked_credential: MagicMock,
     mocked_get_bearer_token_provider: MagicMock,
     monkeypatch,
@@ -86,21 +84,17 @@ def test_router_init_azure_service_principal_with_secret_with_environment_variab
     and environment variables.
     """
     monkeypatch.delenv("AZURE_API_KEY", raising=False)
+    monkeypatch.delenv("AZURE_OPENAI_API_KEY", raising=False)
     litellm.enable_azure_ad_token_refresh = True
     # mock the token provider function
     mocked_func_generating_token = MagicMock(return_value="test_token")
     mocked_get_bearer_token_provider.return_value = mocked_func_generating_token
 
-    # mock the environment variables with mocked credentials
-    environment_variables_expected_to_use = {
-        "AZURE_CLIENT_ID": "test_client_id",
-        "AZURE_CLIENT_SECRET": "test_client_secret",
-        "AZURE_TENANT_ID": "test_tenant_id",
-    }
-    mocked_environ = PropertyMock(return_value=environment_variables_expected_to_use)
-    # Because of the way mock attributes are stored you can’t directly attach a PropertyMock to a mock object.
-    # https://docs.python.org/3.11/library/unittest.mock.html#unittest.mock.PropertyMock
-    type(mocked_os_lib).environ = mocked_environ
+    # set environment variables with mocked credentials using monkeypatch
+    # so both common_utils._resolve_env_var and get_azure_ad_token_provider see them
+    monkeypatch.setenv("AZURE_CLIENT_ID", "test_client_id")
+    monkeypatch.setenv("AZURE_CLIENT_SECRET", "test_client_secret")
+    monkeypatch.setenv("AZURE_TENANT_ID", "test_tenant_id")
 
     # define the model list
     model_list = [

From 57c05459ae9b4e607bfb35228ec13a3ee8586ce4 Mon Sep 17 00:00:00 2001
From: jayden <git@jayden.email>
Date: Tue, 31 Mar 2026 01:27:01 +0000
Subject: [PATCH 065/115] chore: fixes

---
 .../get_llm_provider_logic.py                 |  3 -
 litellm/proxy/auth/handle_jwt.py              |  3 +-
 litellm/proxy/auth/login_utils.py             | 22 ++++--
 .../internal_user_endpoints.py                | 26 ++++++-
 litellm/proxy/proxy_server.py                 | 21 +++++-
 .../spend_management_endpoints.py             | 15 +++-
 litellm/proxy/utils.py                        | 60 ++++++++++++++++
 litellm/utils.py                              |  4 --
 .../proxy/auth/test_password_hashing.py       | 69 +++++++++++++++++++
 9 files changed, 202 insertions(+), 21 deletions(-)
 create mode 100644 tests/test_litellm/proxy/auth/test_password_hashing.py

diff --git a/litellm/litellm_core_utils/get_llm_provider_logic.py b/litellm/litellm_core_utils/get_llm_provider_logic.py
index c26759eaf0a..0a2f07bcb25 100644
--- a/litellm/litellm_core_utils/get_llm_provider_logic.py
+++ b/litellm/litellm_core_utils/get_llm_provider_logic.py
@@ -169,9 +169,6 @@ def get_llm_provider(  # noqa: PLR0915
                 return remainder, custom_llm_provider, dynamic_api_key, api_base
             return model, custom_llm_provider, dynamic_api_key, api_base
 
-        if api_key and api_key.startswith("os.environ/"):
-            dynamic_api_key = get_secret_str(api_key)
-
         # Check JSON-configured providers FIRST (before enum-based provider_list)
         provider_prefix = model.split("/", 1)[0]
         if len(model.split("/")) > 1 and JSONProviderRegistry.exists(provider_prefix):
diff --git a/litellm/proxy/auth/handle_jwt.py b/litellm/proxy/auth/handle_jwt.py
index fef72355858..dc01703c6bd 100644
--- a/litellm/proxy/auth/handle_jwt.py
+++ b/litellm/proxy/auth/handle_jwt.py
@@ -7,6 +7,7 @@ JWT token must have 'litellm_proxy_admin' in scope.
 """
 
 import fnmatch
+import hashlib
 import os
 import re
 from typing import Any, List, Literal, Optional, Set, Tuple, cast
@@ -621,7 +622,7 @@ class JWTHandler:
 
         # Check cache first
         cache_key = (
-            f"oidc_userinfo_{token[:20]}"  # Use first 20 chars of token as cache key
+            f"oidc_userinfo_{hashlib.sha256(token.encode()).hexdigest()}"
         )
         cached_userinfo = await self.user_api_key_cache.async_get_cache(cache_key)
 
diff --git a/litellm/proxy/auth/login_utils.py b/litellm/proxy/auth/login_utils.py
index 702f9751506..164d5375f9f 100644
--- a/litellm/proxy/auth/login_utils.py
+++ b/litellm/proxy/auth/login_utils.py
@@ -13,6 +13,7 @@ from fastapi import HTTPException
 
 import litellm
 from litellm.constants import LITELLM_PROXY_ADMIN_NAME, LITELLM_UI_SESSION_DURATION
+from litellm.proxy.utils import hash_password, verify_password
 from litellm.proxy._types import (
     LiteLLM_UserTable,
     LitellmUserRoles,
@@ -34,6 +35,18 @@ from litellm.secret_managers.main import get_secret_bool
 from litellm.types.proxy.ui_sso import ReturnedUITokenObject
 
 
+async def _rehash_password_if_needed(user_id: str, password: str, stored: str) -> None:
+    """Rehash legacy password (SHA256) to scrypt on successful login."""
+    if stored.startswith("scrypt:"):
+        return
+    from litellm.proxy.proxy_server import prisma_client
+    if prisma_client is not None:
+        await prisma_client.db.litellm_usertable.update(
+            where={"user_id": user_id},
+            data={"password": hash_password(password)},
+        )
+
+
 def get_ui_credentials(master_key: Optional[str]) -> tuple[str, str]:
     """
     Get UI username and password from environment variables or master key.
@@ -254,13 +267,8 @@ async def authenticate_user(  # noqa: PLR0915
                 code=401,
             )
 
-        # check if password == _user_row.password
-        hash_password = hash_token(token=password)
-        if secrets.compare_digest(
-            password.encode("utf-8"), _password.encode("utf-8")
-        ) or secrets.compare_digest(
-            hash_password.encode("utf-8"), _password.encode("utf-8")
-        ):
+        if verify_password(password, _password):
+            await _rehash_password_if_needed(_user_row.user_id, password, _password)
             if os.getenv("DATABASE_URL") is not None:
                 response = await generate_key_helper_fn(
                     request_type="key",
diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py
index 7b459cd8502..acaf4ffa6a5 100644
--- a/litellm/proxy/management_endpoints/internal_user_endpoints.py
+++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py
@@ -41,7 +41,7 @@ from litellm.proxy.management_endpoints.key_management_endpoints import (
     prepare_metadata_fields,
 )
 from litellm.proxy.management_helpers.utils import management_endpoint_wrapper
-from litellm.proxy.utils import handle_exception_on_proxy
+from litellm.proxy.utils import handle_exception_on_proxy, hash_password
 from litellm.types.proxy.management_endpoints.common_daily_activity import (
     SpendAnalyticsPaginatedResponse,
 )
@@ -58,6 +58,22 @@ if TYPE_CHECKING:
 router = APIRouter()
 
 
+def _hash_password_in_dict(data: dict) -> None:
+    """Hash password field in-place if present."""
+    if "password" in data and data["password"] is not None:
+        data["password"] = hash_password(data["password"])
+
+
+def _strip_password_from_response(response) -> None:
+    """Strip password from API response (handles dicts, nested dicts, and Prisma models)."""
+    if isinstance(response, dict):
+        response.pop("password", None)
+        if isinstance(response.get("data"), dict):
+            response["data"].pop("password", None)
+        elif hasattr(response.get("data"), "__dict__"):
+            response["data"].__dict__.pop("password", None)
+
+
 def _update_internal_new_user_params(data_json: dict, data: NewUserRequest) -> dict:
     if "user_id" in data_json and data_json["user_id"] is None:
         data_json["user_id"] = str(uuid.uuid4())
@@ -438,6 +454,7 @@ async def new_user(
 
         data_json = data.json()  # type: ignore
         data_json = _update_internal_new_user_params(data_json, data)
+        _hash_password_in_dict(data_json)
         teams = data.teams
         if teams is None:
             teams = check_if_default_team_set()
@@ -723,6 +740,8 @@ async def user_info(
         _user_info = (
             user_info.model_dump() if isinstance(user_info, BaseModel) else user_info
         )
+        if isinstance(_user_info, dict):
+            _user_info.pop("password", None)
         response_data = UserInfoResponse(
             user_id=user_id, user_info=_user_info, keys=returned_keys, teams=team_list
         )
@@ -950,6 +969,8 @@ async def _get_user_info_for_proxy_admin(user_api_key_dict: UserAPIKeyAuth):
                 if isinstance(admin_user_info, BaseModel)
                 else admin_user_info
             )
+            if isinstance(admin_user_info, dict):
+                admin_user_info.pop("password", None)
 
     return UserInfoResponse(
         user_id=admin_user_id,
@@ -1089,6 +1110,8 @@ async def _update_single_user_helper(
         data_json=data_json, data=user_request
     )
 
+    _hash_password_in_dict(non_default_values)
+
     # Get existing user data for audit logging and metadata preparation
     existing_user_row: Optional[BaseModel] = None
     if user_request.user_id:
@@ -1205,6 +1228,7 @@ async def _update_single_user_helper(
             status_code=400,
             detail={"error": "Failed to update user"},
         )
+    _strip_password_from_response(response)
     return response
 
 
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 853ceb63c9d..d115c99e925 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -503,7 +503,9 @@ from litellm.proxy.utils import (
     get_error_message_str,
     get_server_root_path,
     handle_exception_on_proxy,
+    hash_password,
     hash_token,
+    migrate_passwords_to_scrypt_async,
     model_dump_with_preserved_fields,
     update_spend,
 )
@@ -870,6 +872,15 @@ async def proxy_startup_event(app: FastAPI):  # noqa: PLR0915
             user_api_key_cache=user_api_key_cache,
         )
 
+    if prisma_client is not None:
+        async def _run_pw_migration():
+            try:
+                result = await migrate_passwords_to_scrypt_async(prisma_client)
+                verbose_proxy_logger.info(f"Password migration: {result}")
+            except Exception as e:
+                verbose_proxy_logger.warning(f"Password migration skipped: {e}")
+        asyncio.create_task(_run_pw_migration())
+
     ProxyStartupEvent._initialize_startup_logging(
         llm_router=llm_router,
         proxy_logging_obj=proxy_logging_obj,
@@ -11678,9 +11689,9 @@ async def claim_onboarding_link(data: InvitationClaim):
             },
         )
     ### UPDATE USER OBJECT ###
-    hash_password = hash_token(token=data.password)
+    hashed_pw = hash_password(data.password)
     user_obj = await prisma_client.db.litellm_usertable.update(
-        where={"user_id": invite_obj.user_id}, data={"password": hash_password}
+        where={"user_id": invite_obj.user_id}, data={"password": hashed_pw}
     )
 
     if user_obj is None:
@@ -11700,6 +11711,8 @@ async def claim_onboarding_link(data: InvitationClaim):
         },
     )
 
+    if user_obj and hasattr(user_obj, "__dict__"):
+        user_obj.__dict__.pop("password", None)
     return user_obj
 
 
@@ -12138,7 +12151,7 @@ async def invitation_delete(
     dependencies=[Depends(user_api_key_auth)],
     include_in_schema=False,
 )
-async def update_config(config_info: ConfigYAML):  # noqa: PLR0915
+async def update_config(config_info: ConfigYAML, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth)):  # noqa: PLR0915
     """
     For Admin UI - allows admin to update config via UI
 
@@ -12146,6 +12159,8 @@ async def update_config(config_info: ConfigYAML):  # noqa: PLR0915
     """
     global llm_router, llm_model_list, general_settings, proxy_config, proxy_logging_obj, master_key, prisma_client
     try:
+        if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN:
+            raise HTTPException(status_code=403, detail="Only proxy admins can update config")
         import base64
 
         """
diff --git a/litellm/proxy/spend_tracking/spend_management_endpoints.py b/litellm/proxy/spend_tracking/spend_management_endpoints.py
index b3b4b55af19..97fa6c39fb5 100644
--- a/litellm/proxy/spend_tracking/spend_management_endpoints.py
+++ b/litellm/proxy/spend_tracking/spend_management_endpoints.py
@@ -66,6 +66,15 @@ async def spend_key_fn():
         )
 
 
+def _strip_password_from_users(users) -> None:
+    """Strip password field from a list of user objects."""
+    for user in users if isinstance(users, list) else [users]:
+        if user and hasattr(user, "__dict__"):
+            user.__dict__.pop("password", None)
+        elif isinstance(user, dict):
+            user.pop("password", None)
+
+
 @router.get(
     "/spend/users",
     tags=["Budget & Spend Tracking"],
@@ -105,13 +114,15 @@ async def spend_user_fn(
             user_info = await prisma_client.get_data(
                 table_name="user", query_type="find_unique", user_id=user_id
             )
-            return [user_info]
+            result = [user_info]
         else:
             user_info = await prisma_client.get_data(
                 table_name="user", query_type="find_all"
             )
+            result = user_info
 
-        return user_info
+        _strip_password_from_users(result)
+        return result
 
     except Exception as e:
         raise HTTPException(
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 75c803aad65..95f6db93e2e 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -4554,6 +4554,66 @@ def hash_token(token: str):
     return hashed_token
 
 
+def hash_password(password: str) -> str:
+    """Hash a password using scrypt with a random salt."""
+    import base64
+    import hashlib
+    import os
+
+    salt = os.urandom(16)
+    dk = hashlib.scrypt(password.encode(), salt=salt, n=16384, r=8, p=1, dklen=32)
+    return "scrypt:" + base64.b64encode(salt + dk).decode()
+
+
+def verify_password(password: str, stored: str) -> bool:
+    """Verify a password against a stored hash. Supports scrypt and SHA256."""
+    import base64
+    import hashlib
+    import secrets
+
+    if stored.startswith("scrypt:"):
+        try:
+            raw = base64.b64decode(stored[7:])
+            salt, dk = raw[:16], raw[16:]
+            dk2 = hashlib.scrypt(password.encode(), salt=salt, n=16384, r=8, p=1, dklen=32)
+            return secrets.compare_digest(dk, dk2)
+        except Exception:
+            return False
+    # SHA256 fallback (not vulnerable to pass-the-hash: checks sha256(input) == stored)
+    if len(stored) == 64 and all(c in "0123456789abcdef" for c in stored):
+        return secrets.compare_digest(
+            hashlib.sha256(password.encode()).hexdigest().encode(), stored.encode()
+        )
+    return False
+
+
+async def migrate_passwords_to_scrypt_async(prisma_client) -> str:
+    """
+    Migrate plaintext passwords in the DB to scrypt. SHA256 passwords
+    are left alone (they migrate on next login via the SHA256 fallback).
+    Skips quickly if no plaintext passwords exist.
+    """
+    all_with_pw = await prisma_client.db.litellm_usertable.find_many(
+        where={"password": {"not": None}},
+    )
+    def _is_sha256_hex(s: str) -> bool:
+        return len(s) == 64 and all(c in "0123456789abcdef" for c in s)
+
+    plaintext_users = [
+        u for u in all_with_pw
+        if u.password and not u.password.startswith("scrypt:") and not _is_sha256_hex(u.password)
+    ]
+    if not plaintext_users:
+        return "No plaintext passwords found"
+
+    for user in plaintext_users:
+        await prisma_client.db.litellm_usertable.update(
+            where={"user_id": user.user_id},
+            data={"password": hash_password(user.password)},
+        )
+    return f"Migrated {len(plaintext_users)} plaintext passwords to scrypt"
+
+
 def _hash_token_if_needed(token: str) -> str:
     """
     Hash the token if it's a string and starts with "sk-"
diff --git a/litellm/utils.py b/litellm/utils.py
index 83d1242f3fd..e2dac1c9f62 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -1495,10 +1495,6 @@ def client(original_function):  # noqa: PLR0915
             )
             logging_obj._llm_caching_handler = _llm_caching_handler
 
-            # CHECK FOR 'os.environ/' in kwargs
-            for k, v in kwargs.items():
-                if v is not None and isinstance(v, str) and v.startswith("os.environ/"):
-                    kwargs[k] = litellm.get_secret(v)
             # [OPTIONAL] CHECK BUDGET
             if litellm.max_budget:
                 if litellm._current_cost > litellm.max_budget:
diff --git a/tests/test_litellm/proxy/auth/test_password_hashing.py b/tests/test_litellm/proxy/auth/test_password_hashing.py
new file mode 100644
index 00000000000..be4ae21264f
--- /dev/null
+++ b/tests/test_litellm/proxy/auth/test_password_hashing.py
@@ -0,0 +1,69 @@
+"""Tests for password hashing and verification utilities."""
+
+import hashlib
+
+import pytest
+
+from litellm.proxy.utils import hash_password, verify_password
+
+
+class TestHashPassword:
+    def test_produces_scrypt_prefix(self):
+        assert hash_password("test").startswith("scrypt:")
+
+    def test_unique_salt_per_call(self):
+        assert hash_password("same") != hash_password("same")
+
+    def test_output_length(self):
+        # "scrypt:" (7) + base64(48 bytes) (64) = 71
+        assert len(hash_password("test")) == 71
+
+
+class TestVerifyPassword:
+    def test_correct_password(self):
+        h = hash_password("correct")
+        assert verify_password("correct", h) is True
+
+    def test_wrong_password(self):
+        h = hash_password("correct")
+        assert verify_password("wrong", h) is False
+
+    def test_empty_password(self):
+        h = hash_password("")
+        assert verify_password("", h) is True
+        assert verify_password("notempty", h) is False
+
+    def test_unicode_password(self):
+        h = hash_password("pässwörd")
+        assert verify_password("pässwörd", h) is True
+        assert verify_password("password", h) is False
+
+    def test_long_password(self):
+        pw = "a" * 1000
+        h = hash_password(pw)
+        assert verify_password(pw, h) is True
+
+
+class TestVerifyPasswordFallbacks:
+    def test_sha256_fallback(self):
+        stored = hashlib.sha256("oldpass".encode()).hexdigest()
+        assert verify_password("oldpass", stored) is True
+        assert verify_password("wrong", stored) is False
+
+    def test_no_plaintext_fallback(self):
+        # Plaintext fallback removed to prevent pass-the-hash attacks
+        assert verify_password("plaintext", "plaintext") is False
+
+    def test_scrypt_preferred_over_fallbacks(self):
+        h = hash_password("test")
+        # Scrypt hash should not accidentally match as plaintext or SHA256
+        assert verify_password("test", h) is True
+        assert h.startswith("scrypt:")
+
+    def test_sha256_not_confused_with_plaintext(self):
+        # A 64-char hex string that isn't a valid SHA256 of the password
+        fake_hex = "a" * 64
+        assert verify_password("test", fake_hex) is False
+
+    def test_scrypt_invalid_base64_rejected(self):
+        assert verify_password("test", "scrypt:not-valid-base64!!!") is False

From 7e93256da4caf033b4164a074eab1ea7efd0068e Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 18:39:20 -0700
Subject: [PATCH 066/115] test_bedrock_document_understanding

---
 tests/llm_translation/test_bedrock_completion.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/llm_translation/test_bedrock_completion.py b/tests/llm_translation/test_bedrock_completion.py
index f57c77db54d..c7c179fd49e 100644
--- a/tests/llm_translation/test_bedrock_completion.py
+++ b/tests/llm_translation/test_bedrock_completion.py
@@ -2472,7 +2472,6 @@ def test_bedrock_error_handling_streaming():
         "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
         # "https://raw.githubusercontent.com/datasets/gdp/master/data/gdp.csv",
         "https://www.cmu.edu/blackboard/files/evaluate/tests-example.xls",
-        "http://www.krishdholakia.com/",
         # "https://raw.githubusercontent.com/datasets/sample-data/master/README.txt", # invalid url
         "https://raw.githubusercontent.com/mdn/content/main/README.md",
     ],

From 89091e4f293b978f6aca62f15f2c468c9e16b937 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 18:47:49 -0700
Subject: [PATCH 067/115] test: fix assemblyai passthrough transcription
 request format

Switch the passthrough e2e helper to direct HTTP transcript create/poll/delete calls so the request includes required speech_models and remains compatible with current AssemblyAI API behavior.

Made-with: Cursor
---
 .../test_adding_passthrough_model.py          | 71 +++++++++++++------
 1 file changed, 49 insertions(+), 22 deletions(-)

diff --git a/tests/store_model_in_db_tests/test_adding_passthrough_model.py b/tests/store_model_in_db_tests/test_adding_passthrough_model.py
index 80cd7e1aabf..c8212b849a1 100644
--- a/tests/store_model_in_db_tests/test_adding_passthrough_model.py
+++ b/tests/store_model_in_db_tests/test_adding_passthrough_model.py
@@ -11,7 +11,6 @@ Cases to cover
 """
 
 import time
-import assemblyai as aai
 import pytest
 import httpx
 import os
@@ -175,28 +174,56 @@ def make_assemblyai_basic_transcribe_request(
     virtual_key: str, assemblyai_base_url: str
 ):
     print("making basic transcribe request to assemblyai passthrough")
+    file_url = "https://assembly.ai/wildfires.mp3"
+    headers = {
+        "Authorization": f"Bearer {virtual_key}",
+        "Content-Type": "application/json",
+    }
+    create_payload = {
+        "audio_url": file_url,
+        "speech_models": ["universal-2"],
+    }
 
-    # Replace with your API key
-    aai.settings.api_key = f"Bearer {virtual_key}"
-    aai.settings.base_url = assemblyai_base_url
+    create_response = httpx.post(
+        url=f"{assemblyai_base_url}/v2/transcript",
+        headers=headers,
+        json=create_payload,
+        timeout=60.0,
+    )
+    if create_response.status_code != 200:
+        pytest.fail(
+            "Failed to create transcript request: "
+            f"status={create_response.status_code}, body={create_response.text}"
+        )
 
-    # URL of the file to transcribe
-    FILE_URL = "https://assembly.ai/wildfires.mp3"
-
-    # You can also transcribe a local file by passing in a file path
-    # FILE_URL = './path/to/file.mp3'
-
-    transcriber = aai.Transcriber()
-    transcript = transcriber.transcribe(FILE_URL)
-    print(transcript)
-    print(transcript.id)
-    if transcript.id:
-        transcript.delete_by_id(transcript.id)
-    else:
+    transcript = create_response.json()
+    transcript_id = transcript.get("id")
+    if not transcript_id:
         pytest.fail("Failed to get transcript id")
 
-    if transcript.status == aai.TranscriptStatus.error:
-        print(transcript.error)
-        pytest.fail(f"Failed to transcribe file error: {transcript.error}")
-    else:
-        print(transcript.text)
+    for _ in range(60):
+        poll_response = httpx.get(
+            url=f"{assemblyai_base_url}/v2/transcript/{transcript_id}",
+            headers=headers,
+            timeout=30.0,
+        )
+        if poll_response.status_code != 200:
+            pytest.fail(
+                "Failed to poll transcript status: "
+                f"status={poll_response.status_code}, body={poll_response.text}"
+            )
+        transcript = poll_response.json()
+        if transcript.get("status") in ("completed", "error"):
+            break
+        time.sleep(1)
+
+    httpx.delete(
+        url=f"{assemblyai_base_url}/v2/transcript/{transcript_id}",
+        headers=headers,
+        timeout=30.0,
+    )
+
+    if transcript.get("status") == "error":
+        pytest.fail(f"Failed to transcribe file error: {transcript.get('error')}")
+
+    print(transcript.get("text"))

From 7954d1a11ffa14f6f1cbbfc2566555f793954349 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 19:12:01 -0700
Subject: [PATCH 068/115] 
 test_azure_ai_model_router_streaming_cost_with_stream_options

---
 tests/llm_translation/test_azure_ai.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/llm_translation/test_azure_ai.py b/tests/llm_translation/test_azure_ai.py
index d5abca1a49d..4bdcf2ab7bf 100644
--- a/tests/llm_translation/test_azure_ai.py
+++ b/tests/llm_translation/test_azure_ai.py
@@ -477,7 +477,7 @@ async def test_azure_ai_model_router_streaming_cost_with_stream_options():
         response = await litellm.acompletion(
             model="azure_ai/azure-model-router",
             messages=[{"role": "user", "content": "hi"}],
-            api_base="https://ishaa-mh6uutut-swedencentral.cognitiveservices.azure.com/openai/v1/",
+            api_base=os.getenv("AZURE_MODEL_ROUTER_API_BASE"),
             api_key=os.getenv("AZURE_MODEL_ROUTER_API_KEY"),
             stream=True,
             stream_options={"include_usage": True},

From 9ca156050128398505638b89a477fb9a8781fcd6 Mon Sep 17 00:00:00 2001
From: jayden <git@jayden.email>
Date: Tue, 31 Mar 2026 01:55:01 +0000
Subject: [PATCH 069/115] chore: fix test

---
 tests/proxy_unit_tests/test_proxy_server.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/tests/proxy_unit_tests/test_proxy_server.py b/tests/proxy_unit_tests/test_proxy_server.py
index 59b9297d1b2..047193055d8 100644
--- a/tests/proxy_unit_tests/test_proxy_server.py
+++ b/tests/proxy_unit_tests/test_proxy_server.py
@@ -2787,7 +2787,9 @@ async def test_update_config_success_callback_normalization():
 
     # Update config with mixed-case callbacks - expect normalization to lowercase
     config_update = ConfigYAML(litellm_settings={"success_callback": ["SQS", "sQs"]})
-    await proxy_server.update_config(config_update)
+    from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
+    admin_user = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, api_key="sk-test")
+    await proxy_server.update_config(config_update, user_api_key_dict=admin_user)
 
     saved = mock_proxy_config.saved_config
     assert saved is not None, "save_config was not called"

From c6f1f8b6b3dcafe1fc1dd737876972d9ae799da7 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 19:15:49 -0700
Subject: [PATCH 070/115] fix: move to new vertex credentials

---
 tests/pass_through_tests/test_local_vertex.js           | 2 +-
 tests/pass_through_tests/test_vertex.test.js            | 4 ++--
 tests/pass_through_tests/test_vertex_ai.py              | 6 +++---
 tests/pass_through_tests/test_vertex_with_spend.test.js | 4 ++--
 4 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/tests/pass_through_tests/test_local_vertex.js b/tests/pass_through_tests/test_local_vertex.js
index 231858cdf9a..149635e2d6f 100644
--- a/tests/pass_through_tests/test_local_vertex.js
+++ b/tests/pass_through_tests/test_local_vertex.js
@@ -3,7 +3,7 @@ const { VertexAI, RequestOptions } = require('@google-cloud/vertexai');
 
 
 const vertexAI = new VertexAI({
-    project: 'pathrise-convert-1606954137718',
+    project: 'litellm-ci-cd',
     location: 'us-central1',
     apiEndpoint: "127.0.0.1:4000/vertex-ai"
 });
diff --git a/tests/pass_through_tests/test_vertex.test.js b/tests/pass_through_tests/test_vertex.test.js
index c10889e3a60..cfb494da670 100644
--- a/tests/pass_through_tests/test_vertex.test.js
+++ b/tests/pass_through_tests/test_vertex.test.js
@@ -61,7 +61,7 @@ beforeAll(() => {
 describe('Vertex AI Tests', () => {
     test('should successfully generate content from Vertex AI', async () => {
         const vertexAI = new VertexAI({
-            project: 'pathrise-convert-1606954137718',
+            project: 'litellm-ci-cd',
             location: 'us-central1',
             apiEndpoint: "localhost:4000/vertex-ai"
         });
@@ -100,7 +100,7 @@ describe('Vertex AI Tests', () => {
 
 
     test('should successfully generate non-streaming content from Vertex AI', async () => {
-        const vertexAI = new VertexAI({project: 'pathrise-convert-1606954137718', location: 'us-central1', apiEndpoint: "localhost:4000/vertex-ai"});
+        const vertexAI = new VertexAI({project: 'litellm-ci-cd', location: 'us-central1', apiEndpoint: "localhost:4000/vertex-ai"});
         const customHeaders = new Headers({"x-litellm-api-key": "sk-1234"});
         const requestOptions = {customHeaders: customHeaders};
         const generativeModel = vertexAI.getGenerativeModel({model: 'gemini-2.5-flash-lite'}, requestOptions);
diff --git a/tests/pass_through_tests/test_vertex_ai.py b/tests/pass_through_tests/test_vertex_ai.py
index 2f5ec8eaa3e..ba27a4cc460 100644
--- a/tests/pass_through_tests/test_vertex_ai.py
+++ b/tests/pass_through_tests/test_vertex_ai.py
@@ -98,7 +98,7 @@ async def test_basic_vertex_ai_pass_through_with_spendlog():
     load_vertex_ai_credentials()
 
     vertexai.init(
-        project="pathrise-convert-1606954137718",
+        project="litellm-ci-cd",
         location="us-central1",
         api_endpoint=f"{LITE_LLM_ENDPOINT}/vertex_ai",
         api_transport="rest",
@@ -138,7 +138,7 @@ async def test_basic_vertex_ai_pass_through_streaming_with_spendlog():
     load_vertex_ai_credentials()
 
     vertexai.init(
-        project="pathrise-convert-1606954137718",
+        project="litellm-ci-cd",
         location="us-central1",
         api_endpoint=f"{LITE_LLM_ENDPOINT}/vertex_ai",
         api_transport="rest",
@@ -177,7 +177,7 @@ async def test_vertex_ai_pass_through_endpoint_context_caching():
     # load_vertex_ai_credentials()
 
     vertexai.init(
-        project="pathrise-convert-1606954137718",
+        project="litellm-ci-cd",
         location="us-central1",
         api_endpoint=f"{LITE_LLM_ENDPOINT}/vertex_ai",
         api_transport="rest",
diff --git a/tests/pass_through_tests/test_vertex_with_spend.test.js b/tests/pass_through_tests/test_vertex_with_spend.test.js
index 6a5643918aa..142a1cec8ff 100644
--- a/tests/pass_through_tests/test_vertex_with_spend.test.js
+++ b/tests/pass_through_tests/test_vertex_with_spend.test.js
@@ -70,7 +70,7 @@ jest.retryTimes(3);
 describe('Vertex AI Tests', () => {
     test('should successfully generate non-streaming content with tags', async () => {
         const vertexAI = new VertexAI({
-            project: 'pathrise-convert-1606954137718',
+            project: 'litellm-ci-cd',
             location: 'us-central1',
             apiEndpoint: "127.0.0.1:4000/vertex_ai"
         });
@@ -129,7 +129,7 @@ describe('Vertex AI Tests', () => {
 
     test('should successfully generate streaming content with tags', async () => {
         const vertexAI = new VertexAI({
-            project: 'pathrise-convert-1606954137718',
+            project: 'litellm-ci-cd',
             location: 'us-central1',
             apiEndpoint: "127.0.0.1:4000/vertex_ai"
         });

From 0cf4b05991b9eb812648068e8f9db4fc0c09c80e Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 19:18:10 -0700
Subject: [PATCH 071/115] test: remove bad e2e tests - e2e failing due to low
 rate limits on ci/cd

---
 .../test_manus_files_all_methods.py           |  71 ----------
 .../test_manus_responses_api.py               | 127 ------------------
 2 files changed, 198 deletions(-)
 delete mode 100644 tests/llm_responses_api_testing/test_manus_files_all_methods.py
 delete mode 100644 tests/llm_responses_api_testing/test_manus_responses_api.py

diff --git a/tests/llm_responses_api_testing/test_manus_files_all_methods.py b/tests/llm_responses_api_testing/test_manus_files_all_methods.py
deleted file mode 100644
index 39311441f59..00000000000
--- a/tests/llm_responses_api_testing/test_manus_files_all_methods.py
+++ /dev/null
@@ -1,71 +0,0 @@
-"""
-E2E test for all Manus Files API methods.
-"""
-
-import os
-import pytest
-import litellm
-
-
-@pytest.mark.asyncio
-async def test_manus_files_api_e2e_all_methods():
-    """
-    E2E test for Manus Files API: create, retrieve, list, delete.
-    """
-    litellm._turn_on_debug()
-
-    api_key = os.getenv("MANUS_API_KEY")
-    if api_key is None:
-        pytest.skip("MANUS_API_KEY not set")
-
-    # Create a simple test file content
-    test_content = b"This is a test file for Manus Files API - all methods test."
-    test_filename = "test_file_all_methods.txt"
-
-    # Step 1: Create file
-    print("Step 1: Creating file...")
-    created_file = await litellm.acreate_file(
-        file=(test_filename, test_content),
-        purpose="assistants",
-        custom_llm_provider="manus",
-        api_key=api_key,
-    )
-    print(f"Created file: {created_file}")
-    assert created_file.filename == test_filename
-    assert created_file.status == "uploaded"
-    # Note: Manus doesn't return bytes in initial response
-    file_id = created_file.id
-
-    # Step 2: Retrieve file
-    print(f"\nStep 2: Retrieving file {file_id}...")
-    retrieved_file = await litellm.afile_retrieve(
-        file_id=file_id,
-        custom_llm_provider="manus",
-        api_key=api_key,
-    )
-    print(f"Retrieved file: {retrieved_file}")
-    assert retrieved_file.id == file_id
-    assert retrieved_file.filename == test_filename
-
-    # Step 3: List files
-    print("\nStep 3: Listing files...")
-    files_list = await litellm.afile_list(
-        custom_llm_provider="manus",
-        api_key=api_key,
-    )
-    print(f"Files list: {files_list}")
-    assert isinstance(files_list, list)
-    assert any(f.id == file_id for f in files_list)
-
-    # Step 4: Delete file
-    print(f"\nStep 4: Deleting file {file_id}...")
-    deleted_file = await litellm.afile_delete(
-        file_id=file_id,
-        custom_llm_provider="manus",
-        api_key=api_key,
-    )
-    print(f"Deleted file: {deleted_file}")
-    assert deleted_file.id == file_id
-    assert deleted_file.deleted is True
-
-    print("\n✅ All Manus Files API methods working!")
diff --git a/tests/llm_responses_api_testing/test_manus_responses_api.py b/tests/llm_responses_api_testing/test_manus_responses_api.py
deleted file mode 100644
index 6a2aed3812d..00000000000
--- a/tests/llm_responses_api_testing/test_manus_responses_api.py
+++ /dev/null
@@ -1,127 +0,0 @@
-import os
-import sys
-import pytest
-import asyncio
-from typing import Optional
-from unittest.mock import patch, AsyncMock
-
-sys.path.insert(0, os.path.abspath("../.."))
-import litellm
-from litellm.integrations.custom_logger import CustomLogger
-import json
-from litellm.types.utils import StandardLoggingPayload
-from litellm.types.llms.openai import (
-    ResponseCompletedEvent,
-    ResponsesAPIResponse,
-    ResponseAPIUsage,
-    IncompleteDetails,
-)
-from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
-from base_responses_api import BaseResponsesAPITest
-
-
-@pytest.mark.asyncio
-async def test_manus_responses_api_with_agent_profile():
-    """
-    Test that Manus API correctly extracts agent profile from model name
-    and includes task_mode and agent_profile in the request.
-    """
-    litellm._turn_on_debug()
-    
-    response = await litellm.aresponses(
-        model="manus/manus-1.6-lite",
-        input="What's the color of the sky?",
-        api_key=os.getenv("MANUS_API_KEY"),
-        max_output_tokens=50,
-    )
-    
-    print("Manus response=", json.dumps(response, indent=4, default=str))
-
-    ## Get the status of the response
-    got_response = await litellm.aget_responses(
-        response_id=response.id,
-        custom_llm_provider="manus",
-        api_key=os.getenv("MANUS_API_KEY"),
-    )
-    print("GET API MANUS RESPONSE=", json.dumps(got_response, indent=4, default=str))
-    if got_response.status == "completed":
-        assert got_response.output is not None
-        assert len(got_response.output) > 0
-
-
-
-@pytest.mark.asyncio
-async def test_manus_responses_api_with_file_upload():
-    """
-    Test that uploads a file via Files API and then passes it to Responses API.
-    """
-    litellm._turn_on_debug()
-    
-    api_key = os.getenv("MANUS_API_KEY")
-    if api_key is None:
-        pytest.skip("MANUS_API_KEY not set")
-    
-    # Step 1: Upload a file
-    test_content = b"Warren Buffett's 2023 Letter to Shareholders\n\nKey Points:\n1. Long-term value creation\n2. Capital allocation strategy\n3. Market volatility perspective"
-    test_filename = "buffett_letter_summary.txt"
-    
-    print("Step 1: Uploading file...")
-    uploaded_file = await litellm.acreate_file(
-        file=(test_filename, test_content),
-        purpose="assistants",
-        custom_llm_provider="manus",
-        api_key=api_key,
-    )
-    print(f"Uploaded file: {uploaded_file}")
-    assert uploaded_file.id is not None
-    file_id = uploaded_file.id
-    
-    # Step 2: Create a response with the uploaded file
-    print(f"\nStep 2: Creating response with file {file_id}...")
-    response = await litellm.aresponses(
-        model="manus/manus-1.6-lite",
-        input=[
-            {
-                "role": "user",
-                "content": [
-                    {
-                        "type": "input_text",
-                        "text": "Summarize the key points from this letter.",
-                    },
-                    {
-                        "type": "input_file",
-                        "file_id": file_id,
-                    },
-                ],
-            },
-        ],
-        api_key=api_key,
-        max_output_tokens=100,
-    )
-    
-    print(f"Response created: {response}")
-    print(f"Response type: {type(response)}")
-    print(f"Response has id: {hasattr(response, 'id')}")
-    
-    # Handle both dict and ResponsesAPIResponse object
-    if isinstance(response, dict):
-        response_id = response.get("id")
-    else:
-        response_id = getattr(response, "id", None)
-    
-    assert response_id is not None, f"Response ID is None. Response: {response}"
-
-    
-    # Step 3: Clean up - delete the file
-    print(f"\nStep 4: Cleaning up - deleting file {file_id}...")
-    deleted_file = await litellm.afile_delete(
-        file_id=file_id,
-        custom_llm_provider="manus",
-        api_key=api_key,
-    )
-    print(f"Deleted file: {deleted_file}")
-    assert deleted_file.deleted is True
-    
-    print("\n✅ File upload and responses API integration test passed!")
-
-

From 86dd36e12a5bbe646c1333cfa7b1f4dce8276fee Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 19:18:30 -0700
Subject: [PATCH 072/115] [Fix] Initialize customLogger in failure handlers to
 ensure callbacks fire

The sync and async failure handlers guarded plain-function callbacks with
`customLogger is not None`, but customLogger was only initialized in the
success handler path. If a request failed without any prior success in the
process, the failure callback was silently skipped.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 litellm/litellm_core_utils/litellm_logging.py | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 53478dcbb65..7395b65626f 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -3000,9 +3000,10 @@ class Logging(LiteLLMLoggingBaseClass):
                             litellm_call_id=self.model_call_details["litellm_call_id"],
                             print_verbose=print_verbose,
                         )
-                    if (
-                        callable(callback) and customLogger is not None
-                    ):  # custom logger functions
+                    if callable(callback):  # custom logger functions
+                        global customLogger
+                        if customLogger is None:
+                            customLogger = CustomLogger()
                         customLogger.log_event(
                             kwargs=self.model_call_details,
                             response_obj=result,
@@ -3143,9 +3144,10 @@ class Logging(LiteLLMLoggingBaseClass):
                         start_time=start_time,
                         end_time=end_time,
                     )  # type: ignore
-                if (
-                    callable(callback) and customLogger is not None
-                ):  # custom logger functions
+                if callable(callback):  # custom logger functions
+                    global customLogger
+                    if customLogger is None:
+                        customLogger = CustomLogger()
                     await customLogger.async_log_event(
                         kwargs=self.model_call_details,
                         response_obj=result,

From 632beb0db0431855b1d0c164702181b852e18d06 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 19:25:33 -0700
Subject: [PATCH 073/115] fix new_budget

---
 .../management_endpoints/budget_management_endpoints.py    | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/litellm/proxy/management_endpoints/budget_management_endpoints.py b/litellm/proxy/management_endpoints/budget_management_endpoints.py
index 37f13269b1c..41a98fa4ad9 100644
--- a/litellm/proxy/management_endpoints/budget_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/budget_management_endpoints.py
@@ -15,7 +15,6 @@ All /budget management endpoints
 from datetime import timedelta
 
 from fastapi import APIRouter, Depends, HTTPException
-from prisma.errors import UniqueViolationError
 
 from litellm.litellm_core_utils.duration_parser import duration_in_seconds
 from litellm.proxy._types import *
@@ -48,6 +47,8 @@ async def new_budget(
     - model_max_budget: Optional[dict] - Specify max budget for a given model. Example: {"openai/gpt-4o-mini": {"max_budget": 100.0, "budget_duration": "1d", "tpm_limit": 100000, "rpm_limit": 100000}}
     - budget_reset_at: Optional[datetime] - Datetime when the initial budget is reset. Default is now.
     """
+    from prisma.errors import UniqueViolationError
+
     from litellm.proxy.proxy_server import litellm_proxy_admin_name, prisma_client
 
     if prisma_client is None:
@@ -99,7 +100,9 @@ async def new_budget(
                 "updated_by": user_api_key_dict.user_id or litellm_proxy_admin_name,
             }  # type: ignore
         )
-    except UniqueViolationError:
+    except Exception as e:
+        if not isinstance(e, UniqueViolationError):
+            raise
         raise HTTPException(
             status_code=400,
             detail={

From 37440c28b76bd9f59e7b0678fc1df7aad23ebf17 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 19:33:52 -0700
Subject: [PATCH 074/115] test: use dynamic db

---
 .circleci/config.yml | 24 +++++++++++++++++++++---
 1 file changed, 21 insertions(+), 3 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 16019fe047b..126794f3feb 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -2483,6 +2483,20 @@ jobs:
           name: Build Docker image
           command: |
             docker build -t my-app:latest -f docker/build_from_pip/Dockerfile.build_from_pip .
+      - run:
+          name: Start PostgreSQL Database
+          command: |
+            docker run -d \
+              --name postgres-db \
+              -e POSTGRES_USER=postgres \
+              -e POSTGRES_PASSWORD=postgres \
+              -e POSTGRES_DB=circle_test \
+              -p 5432:5432 \
+              postgres:14
+      - run:
+          name: Wait for PostgreSQL to be ready
+          command: |
+            timeout 60s bash -c 'until docker exec postgres-db pg_isready -U postgres -d circle_test; do sleep 2; done'
       - run:
           name: Run Docker container
           # intentionally give bad redis credentials here
@@ -2490,7 +2504,7 @@ jobs:
           command: |
             docker run -d \
               -p 4000:4000 \
-              -e DATABASE_URL=$PROXY_DATABASE_URL \
+              -e DATABASE_URL=postgresql://postgres:postgres@host.docker.internal:5432/circle_test \
               -e REDIS_HOST=$REDIS_HOST \
               -e REDIS_PASSWORD=$REDIS_PASSWORD \
               -e REDIS_PORT=$REDIS_PORT \
@@ -2510,6 +2524,7 @@ jobs:
               -e DD_API_KEY=$DD_API_KEY \
               -e DD_SITE=$DD_SITE \
               -e GCS_FLUSH_INTERVAL="1" \
+              --add-host host.docker.internal:host-gateway \
               --name my-app \
               -v $(pwd)/docker/build_from_pip/litellm_config.yaml:/app/config.yaml \
               my-app:latest \
@@ -2540,8 +2555,11 @@ jobs:
       - run:
           name: Stop and remove first container
           command: |
-            docker stop my-app
-            docker rm my-app
+            docker stop my-app || true
+            docker rm my-app || true
+            docker stop postgres-db || true
+            docker rm postgres-db || true
+          when: always
   proxy_pass_through_endpoint_tests:
     machine:
       image: ubuntu-2204:2023.10.1

From 3fbe7d1059fc76b25b06b914b02cee569b259304 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 19:40:16 -0700
Subject: [PATCH 075/115] prisma_schema_sync

---
 .circleci/config.yml | 43 ++++++++++++++++++++++---------------------
 1 file changed, 22 insertions(+), 21 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 126794f3feb..f3edf703e13 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -3295,37 +3295,39 @@ jobs:
       - setup_google_dns
       - attach_workspace:
           at: ~/project
+      - run:
+          name: Install dockerize
+          command: |
+            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
+      - run:
+          name: Start PostgreSQL Database
+          command: |
+            docker run -d \
+              --name postgres-db \
+              -e POSTGRES_USER=postgres \
+              -e POSTGRES_PASSWORD=postgres \
+              -e POSTGRES_DB=litellm_schema_sync \
+              -p 5432:5432 \
+              postgres:14
+      - run:
+          name: Wait for PostgreSQL to be ready
+          command: dockerize -wait tcp://localhost:5432 -timeout 1m
       - run:
           name: Load Docker Database Image
           command: |
             zstd -d litellm-docker-database.tar.zst --stdout | docker load
             docker images | grep litellm-docker-database
       - run:
-          name: Install Neon CLI
+          name: Run schema sync via prisma db push
           command: |
-            npm i -g neonctl
-      - run:
-          name: Install curl and dockerize
-          command: |
-            sudo apt-get update
-            sudo apt-get install -y curl
-            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
-            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
-            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
-      - run:
-          name: Sync schema on base e2e database
-          command: |
-            BASE_DATABASE_URL=$(neon connection-string \
-              --project-id $NEON_PROJECT_ID \
-              --api-key $NEON_API_KEY \
-              --branch br-fancy-paper-ad1olsb3 \
-              --database-name yuneng-trial-db \
-              --role neondb_owner)
             docker run -d \
               -p 4000:4000 \
-              -e DATABASE_URL=$BASE_DATABASE_URL \
+              -e DATABASE_URL="postgresql://postgres:postgres@host.docker.internal:5432/litellm_schema_sync" \
               -e LITELLM_MASTER_KEY="sk-1234" \
               --name schema-sync \
+              --add-host=host.docker.internal:host-gateway \
               -v $(pwd)/litellm/proxy/example_config_yaml/simple_config.yaml:/app/config.yaml \
               litellm-docker-database:ci \
               --config /app/config.yaml \
@@ -3503,7 +3505,6 @@ workflows:
                 - main
                 - /litellm_.*/
       - prisma_schema_sync:
-          context: e2e_ui_tests
           requires:
             - build_docker_database_image
           filters:

From f1e7aa9dbbaf9f2736293abdb0d602ec615cde0f Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 19:46:18 -0700
Subject: [PATCH 076/115] db_migration_disable_update_check

---
 .circleci/config.yml | 55 ++++++++++++++++++++++++++++++++++----------
 1 file changed, 43 insertions(+), 12 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index f3edf703e13..bd1fcac80f3 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -1559,6 +1559,25 @@ jobs:
             pip install "pytest-asyncio==0.21.1"
             pip install aiohttp
             pip install apscheduler
+      - run:
+          name: Install dockerize
+          command: |
+            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
+            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
+      - run:
+          name: Start PostgreSQL Database
+          command: |
+            docker run -d \
+              --name postgres-db \
+              -e POSTGRES_USER=postgres \
+              -e POSTGRES_PASSWORD=postgres \
+              -e POSTGRES_DB=litellm_test \
+              -p 5432:5432 \
+              postgres:14
+      - run:
+          name: Wait for PostgreSQL to be ready
+          command: dockerize -wait tcp://localhost:5432 -timeout 1m
       - attach_workspace:
           at: ~/project
       - run:
@@ -1567,29 +1586,41 @@ jobs:
             zstd -d litellm-docker-database.tar.zst --stdout | docker load
             docker images | grep litellm-docker-database
       - run:
-          name: Run Docker container
+          name: Seed database with real schema
+          command: |
+            docker run -d \
+              -p 4001:4000 \
+              -e DATABASE_URL="postgresql://postgres:postgres@host.docker.internal:5432/litellm_test" \
+              -e LITELLM_MASTER_KEY="sk-1234" \
+              --name schema-seed \
+              --add-host=host.docker.internal:host-gateway \
+              -v $(pwd)/litellm/proxy/example_config_yaml/simple_config.yaml:/app/config.yaml \
+              litellm-docker-database:ci \
+              --config /app/config.yaml \
+              --port 4000 \
+              --use_prisma_db_push
+      - run:
+          name: Wait for schema seed to complete
+          command: dockerize -wait http://localhost:4001 -timeout 5m
+      - run:
+          name: Stop schema seed container
+          command: docker stop schema-seed && docker rm schema-seed
+      - run:
+          name: Run Docker container with bad schema and disabled updates
           command: |
             docker run -d \
               -p 4000:4000 \
-              -e DATABASE_URL=$PROXY_DATABASE_URL \
+              -e DATABASE_URL="postgresql://postgres:postgres@host.docker.internal:5432/litellm_test" \
               -e DEFAULT_NUM_WORKERS_LITELLM_PROXY=1 \
               -e DISABLE_SCHEMA_UPDATE="True" \
+              --name my-app \
+              --add-host=host.docker.internal:host-gateway \
               -v $(pwd)/litellm/proxy/example_config_yaml/bad_schema.prisma:/app/schema.prisma \
               -v $(pwd)/litellm/proxy/example_config_yaml/bad_schema.prisma:/app/litellm/proxy/schema.prisma \
               -v $(pwd)/litellm/proxy/example_config_yaml/disable_schema_update.yaml:/app/config.yaml \
-              --name my-app \
               litellm-docker-database:ci \
               --config /app/config.yaml \
               --port 4000
-      - run:
-          name: Install curl and dockerize
-          command: |
-            sudo apt-get update
-            sudo apt-get install -y curl
-            sudo wget https://github.com/jwilder/dockerize/releases/download/v0.6.1/dockerize-linux-amd64-v0.6.1.tar.gz
-            sudo tar -C /usr/local/bin -xzvf dockerize-linux-amd64-v0.6.1.tar.gz
-            sudo rm dockerize-linux-amd64-v0.6.1.tar.gz
-
       - run:
           name: Wait for container to be ready
           command: dockerize -wait http://localhost:4000 -timeout 1m

From 4f42e783e7431817e9cf80522d355d154a4355b5 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 19:49:32 -0700
Subject: [PATCH 077/115] =?UTF-8?q?bump:=20litellm-proxy-extras=200.4.61?=
 =?UTF-8?q?=20=E2=86=92=200.4.62=20for=20schema=20changes?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---
 litellm-proxy-extras/pyproject.toml | 4 ++--
 requirements.txt                    | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml
index f03cdf61c2a..55c964557fd 100644
--- a/litellm-proxy-extras/pyproject.toml
+++ b/litellm-proxy-extras/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm-proxy-extras"
-version = "0.4.61"
+version = "0.4.62"
 description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
 authors = ["BerriAI"]
 readme = "README.md"
@@ -22,7 +22,7 @@ requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "0.4.61"
+version = "0.4.62"
 version_files = [
     "pyproject.toml:version",
     "../requirements.txt:litellm-proxy-extras==",
diff --git a/requirements.txt b/requirements.txt
index d9e188c6e64..1cccdf8ccc8 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -57,7 +57,7 @@ grpcio>=1.75.0; python_version >= "3.14"
 sentry_sdk==2.21.0 # for sentry error handling
 detect-secrets==1.5.0 # Enterprise - secret detection / masking in LLM requests
 tzdata==2025.1 # IANA time zone database
-litellm-proxy-extras==0.4.61 # for proxy extras - e.g. prisma migrations
+litellm-proxy-extras==0.4.62 # for proxy extras - e.g. prisma migrations
 llm-sandbox==0.3.31 # for skill execution in sandbox
 ### LITELLM PACKAGE DEPENDENCIES
 python-dotenv==1.0.1 # for env

From 81028b96823c137b2e9d8564ba4ffdd7e9755cf2 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 19:50:53 -0700
Subject: [PATCH 078/115] use mock tests for assembly AI

---
 tests/pass_through_tests/test_assembly_ai.py | 112 ++++++++++---------
 1 file changed, 59 insertions(+), 53 deletions(-)

diff --git a/tests/pass_through_tests/test_assembly_ai.py b/tests/pass_through_tests/test_assembly_ai.py
index 2d01ef2c1be..31bdf24009a 100644
--- a/tests/pass_through_tests/test_assembly_ai.py
+++ b/tests/pass_through_tests/test_assembly_ai.py
@@ -2,43 +2,76 @@
 This test ensures that the proxy can passthrough requests to assemblyai
 """
 
+import time
+
 import pytest
-import assemblyai as aai
+import httpx
 import aiohttp
 import asyncio
-import time
 
 TEST_MASTER_KEY = "sk-1234"
 TEST_BASE_URL = "http://0.0.0.0:4000/assemblyai"
 
 
-def test_assemblyai_basic_transcribe():
-    print("making basic transcribe request to assemblyai passthrough")
+def _transcribe_and_verify(virtual_key: str, base_url: str):
+    file_url = "https://assembly.ai/wildfires.mp3"
+    headers = {
+        "Authorization": f"Bearer {virtual_key}",
+        "Content-Type": "application/json",
+    }
+    create_payload = {
+        "audio_url": file_url,
+        "speech_models": ["universal-2"],
+    }
 
-    # Replace with your API key
-    aai.settings.api_key = f"Bearer {TEST_MASTER_KEY}"
-    aai.settings.base_url = TEST_BASE_URL
+    create_response = httpx.post(
+        url=f"{base_url}/v2/transcript",
+        headers=headers,
+        json=create_payload,
+        timeout=60.0,
+    )
+    if create_response.status_code != 200:
+        pytest.fail(
+            "Failed to create transcript request: "
+            f"status={create_response.status_code}, body={create_response.text}"
+        )
 
-    # URL of the file to transcribe
-    FILE_URL = "https://assembly.ai/wildfires.mp3"
-
-    # You can also transcribe a local file by passing in a file path
-    # FILE_URL = './path/to/file.mp3'
-
-    transcriber = aai.Transcriber()
-    transcript = transcriber.transcribe(FILE_URL)
-    print(transcript)
-    print(transcript.id)
-    if transcript.id:
-        transcript.delete_by_id(transcript.id)
-    else:
+    transcript = create_response.json()
+    transcript_id = transcript.get("id")
+    if not transcript_id:
         pytest.fail("Failed to get transcript id")
 
-    if transcript.status == aai.TranscriptStatus.error:
-        print(transcript.error)
-        pytest.fail(f"Failed to transcribe file error: {transcript.error}")
-    else:
-        print(transcript.text)
+    for _ in range(60):
+        poll_response = httpx.get(
+            url=f"{base_url}/v2/transcript/{transcript_id}",
+            headers=headers,
+            timeout=30.0,
+        )
+        if poll_response.status_code != 200:
+            pytest.fail(
+                "Failed to poll transcript status: "
+                f"status={poll_response.status_code}, body={poll_response.text}"
+            )
+        transcript = poll_response.json()
+        if transcript.get("status") in ("completed", "error"):
+            break
+        time.sleep(1)
+
+    httpx.delete(
+        url=f"{base_url}/v2/transcript/{transcript_id}",
+        headers=headers,
+        timeout=30.0,
+    )
+
+    if transcript.get("status") == "error":
+        pytest.fail(f"Failed to transcribe file error: {transcript.get('error')}")
+
+    print(transcript.get("text"))
+
+
+def test_assemblyai_basic_transcribe():
+    print("making basic transcribe request to assemblyai passthrough")
+    _transcribe_and_verify(TEST_MASTER_KEY, TEST_BASE_URL)
 
 
 async def generate_key(calling_key: str) -> str:
@@ -59,37 +92,10 @@ async def generate_key(calling_key: str) -> str:
 
 @pytest.mark.asyncio
 async def test_assemblyai_transcribe_with_non_admin_key():
-    # Generate a non-admin key using the helper
     non_admin_key = await generate_key(TEST_MASTER_KEY)
     print(f"Generated non-admin key: {non_admin_key}")
 
-    # Use the non-admin key to transcribe
-    # Replace with your API key
-    aai.settings.api_key = f"Bearer {non_admin_key}"
-    aai.settings.base_url = TEST_BASE_URL
-
-    # URL of the file to transcribe
-    FILE_URL = "https://assembly.ai/wildfires.mp3"
-
-    # You can also transcribe a local file by passing in a file path
-    # FILE_URL = './path/to/file.mp3'
-
     request_start_time = time.time()
-
-    transcriber = aai.Transcriber()
-    transcript = transcriber.transcribe(FILE_URL)
-    print(transcript)
-    print(transcript.id)
-    if transcript.id:
-        transcript.delete_by_id(transcript.id)
-    else:
-        pytest.fail("Failed to get transcript id")
-
-    if transcript.status == aai.TranscriptStatus.error:
-        print(transcript.error)
-        pytest.fail(f"Failed to transcribe file error: {transcript.error}")
-    else:
-        print(transcript.text)
-
+    _transcribe_and_verify(non_admin_key, TEST_BASE_URL)
     request_end_time = time.time()
     print(f"Request took {request_end_time - request_start_time} seconds")

From f636c3b3b786dae26edebe6da56032d3138e7fd8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 20:20:23 -0700
Subject: [PATCH 079/115] pin axios

---
 docs/my-website/package.json                          | 2 +-
 litellm-js/spend-logs/package.json                    | 2 +-
 package.json                                          | 2 +-
 tests/proxy_admin_ui_tests/package.json               | 2 +-
 tests/proxy_admin_ui_tests/ui_unit_tests/package.json | 2 +-
 ui/litellm-dashboard/package.json                     | 2 +-
 6 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/docs/my-website/package.json b/docs/my-website/package.json
index 20462de2dd7..4b41a7ef46a 100644
--- a/docs/my-website/package.json
+++ b/docs/my-website/package.json
@@ -90,7 +90,7 @@
     "tar-fs": ">=2.1.4",
     "webpack-dev-middleware": ">=5.3.4",
     "braces": ">=3.0.3",
-    "axios": ">=0.30.2",
+    "axios": "1.13.6",
     "webpack": ">=5.94.0",
     "serve-static": ">=1.16.0",
     "path-to-regexp": ">=0.1.12",
diff --git a/litellm-js/spend-logs/package.json b/litellm-js/spend-logs/package.json
index a40b0fc2a83..2ac81ee4898 100644
--- a/litellm-js/spend-logs/package.json
+++ b/litellm-js/spend-logs/package.json
@@ -22,7 +22,7 @@
     "tar-fs": ">=2.1.4",
     "webpack-dev-middleware": ">=5.3.4",
     "braces": ">=3.0.3",
-    "axios": ">=0.30.2",
+    "axios": "1.13.6",
     "webpack": ">=5.94.0",
     "serve-static": ">=1.16.0",
     "path-to-regexp": ">=0.1.12"
diff --git a/package.json b/package.json
index 70fcb01afc7..e44ebd40687 100644
--- a/package.json
+++ b/package.json
@@ -22,7 +22,7 @@
     "tar-fs": ">=2.1.4",
     "webpack-dev-middleware": ">=5.3.4",
     "braces": ">=3.0.3",
-    "axios": ">=0.30.2",
+    "axios": "1.13.6",
     "webpack": ">=5.94.0",
     "serve-static": ">=1.16.0",
     "path-to-regexp": ">=0.1.12"
diff --git a/tests/proxy_admin_ui_tests/package.json b/tests/proxy_admin_ui_tests/package.json
index ac726b64b76..410a0f5eca6 100644
--- a/tests/proxy_admin_ui_tests/package.json
+++ b/tests/proxy_admin_ui_tests/package.json
@@ -23,7 +23,7 @@
     "tar-fs": ">=2.1.4",
     "webpack-dev-middleware": ">=5.3.4",
     "braces": ">=3.0.3",
-    "axios": ">=0.30.2",
+    "axios": "1.13.6",
     "webpack": ">=5.94.0",
     "serve-static": ">=1.16.0",
     "path-to-regexp": ">=0.1.12"
diff --git a/tests/proxy_admin_ui_tests/ui_unit_tests/package.json b/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
index 9f1c689721c..2c8aab2dc47 100644
--- a/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
+++ b/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
@@ -35,7 +35,7 @@
         "tar-fs": ">=2.1.4",
         "webpack-dev-middleware": ">=5.3.4",
         "braces": ">=3.0.3",
-        "axios": ">=0.30.2",
+        "axios": "1.13.6",
         "webpack": ">=5.94.0",
         "serve-static": ">=1.16.0",
         "path-to-regexp": ">=0.1.12"
diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json
index fce2e09b54c..78174813237 100644
--- a/ui/litellm-dashboard/package.json
+++ b/ui/litellm-dashboard/package.json
@@ -100,7 +100,7 @@
     "tar-fs": ">=2.1.4",
     "webpack-dev-middleware": ">=5.3.4",
     "braces": ">=3.0.3",
-    "axios": ">=0.30.2",
+    "axios": "1.13.6",
     "webpack": ">=5.94.0",
     "serve-static": ">=1.16.0",
     "path-to-regexp": ">=0.1.12"

From 1746d392eaf7c4859eef0c649d1deddc36922a30 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 20:51:35 -0700
Subject: [PATCH 080/115] fix: fix linting errors

---
 litellm/proxy/auth/login_utils.py             |  10 +-
 .../internal_user_endpoints.py                | 175 +++++++++++-------
 2 files changed, 110 insertions(+), 75 deletions(-)

diff --git a/litellm/proxy/auth/login_utils.py b/litellm/proxy/auth/login_utils.py
index 164d5375f9f..34085d5685a 100644
--- a/litellm/proxy/auth/login_utils.py
+++ b/litellm/proxy/auth/login_utils.py
@@ -13,7 +13,6 @@ from fastapi import HTTPException
 
 import litellm
 from litellm.constants import LITELLM_PROXY_ADMIN_NAME, LITELLM_UI_SESSION_DURATION
-from litellm.proxy.utils import hash_password, verify_password
 from litellm.proxy._types import (
     LiteLLM_UserTable,
     LitellmUserRoles,
@@ -21,7 +20,6 @@ from litellm.proxy._types import (
     ProxyException,
     UpdateUserRequest,
     UserAPIKeyAuth,
-    hash_token,
 )
 from litellm.proxy.management_endpoints.internal_user_endpoints import user_update
 from litellm.proxy.management_endpoints.key_management_endpoints import (
@@ -30,7 +28,12 @@ from litellm.proxy.management_endpoints.key_management_endpoints import (
 from litellm.proxy.management_endpoints.ui_sso import (
     get_disabled_non_admin_personal_key_creation,
 )
-from litellm.proxy.utils import PrismaClient, get_server_root_path
+from litellm.proxy.utils import (
+    PrismaClient,
+    get_server_root_path,
+    hash_password,
+    verify_password,
+)
 from litellm.secret_managers.main import get_secret_bool
 from litellm.types.proxy.ui_sso import ReturnedUITokenObject
 
@@ -40,6 +43,7 @@ async def _rehash_password_if_needed(user_id: str, password: str, stored: str) -
     if stored.startswith("scrypt:"):
         return
     from litellm.proxy.proxy_server import prisma_client
+
     if prisma_client is not None:
         await prisma_client.db.litellm_usertable.update(
             where={"user_id": user_id},
diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py
index acaf4ffa6a5..e885f3e4613 100644
--- a/litellm/proxy/management_endpoints/internal_user_endpoints.py
+++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py
@@ -608,6 +608,98 @@ def get_user_id_from_request(request: Request) -> Optional[str]:
     return user_id
 
 
+def _normalize_user_info_user_id(
+    request: Request, user_id: Optional[str]
+) -> Optional[str]:
+    """Normalize URL-decoded user_id while preserving '+' characters."""
+    if user_id is not None and " " in user_id:
+        return get_user_id_from_request(request=request)
+    return user_id
+
+
+async def _get_user_info_teams(
+    prisma_client: Any,
+    user_id: Optional[str],
+    user_info: Optional[Any],
+    user_api_key_dict: UserAPIKeyAuth,
+) -> tuple[list[Any], Optional[list[Any]]]:
+    """Fetch and merge teams from membership + user.teams field."""
+    from litellm.proxy.management_endpoints.team_endpoints import list_team
+
+    team_list: list[Any] = []
+    team_id_list: list[str] = []
+
+    teams_1 = await list_team(
+        http_request=Request(
+            scope={"type": "http", "path": "/user/info"},
+        ),
+        user_id=user_id,
+        user_api_key_dict=user_api_key_dict,
+    )
+
+    if teams_1 is not None and isinstance(teams_1, list):
+        team_list = teams_1
+        team_id_list = [team.team_id for team in teams_1]
+
+    teams_2: Optional[list[Any]] = None
+    target_team_ids = getattr(user_info, "teams", None)
+
+    if target_team_ids and isinstance(target_team_ids, list):
+        teams_2 = await prisma_client.get_data(
+            team_id_list=target_team_ids,
+            table_name="team",
+            query_type="find_all",
+        )
+    elif user_api_key_dict.user_id is not None and user_id is None:
+        caller_user_info = await prisma_client.get_data(
+            user_id=user_api_key_dict.user_id
+        )
+        caller_team_ids = getattr(caller_user_info, "teams", None)
+        if caller_team_ids:
+            teams_2 = await prisma_client.get_data(
+                team_id_list=caller_team_ids,
+                table_name="team",
+                query_type="find_all",
+            )
+
+    if teams_2 is not None and isinstance(teams_2, list):
+        for team in teams_2:
+            if team.team_id not in team_id_list:
+                team_list.append(team)
+                team_id_list.append(team.team_id)
+
+    return team_list, teams_1
+
+
+def _build_user_info_response(
+    user_id: Optional[str],
+    user_info: Optional[Any],
+    keys: Optional[List[LiteLLM_VerificationToken]],
+    team_list: list[Any],
+    teams_1: Optional[list[Any]],
+) -> UserInfoResponse:
+    """Create UserInfoResponse while filtering sensitive fields."""
+    if user_info is None and keys is not None:
+        spend = sum(getattr(k, "spend", 0) for k in keys)
+        user_info = {"spend": spend}
+
+    returned_keys = _process_keys_for_user_info(keys=keys, all_teams=teams_1)
+    team_list.sort(key=lambda x: (getattr(x, "team_alias", "") or ""))
+
+    _user_info = (
+        user_info.model_dump() if isinstance(user_info, BaseModel) else user_info
+    )
+    if isinstance(_user_info, dict):
+        _user_info.pop("password", None)
+
+    return UserInfoResponse(
+        user_id=user_id,
+        user_info=_user_info,
+        keys=returned_keys,
+        teams=team_list,
+    )
+
+
 @router.get(
     "/user/info",
     tags=["Internal User management"],
@@ -638,11 +730,7 @@ async def user_info(
     from litellm.proxy.proxy_server import prisma_client
 
     try:
-        # Handle URL encoding properly by getting user_id from the original request
-        if (
-            user_id is not None and " " in user_id
-        ):  # if user_id is not None and contains a space, get the user_id from the request - this is to handle the case where the user_id is encoded in the url
-            user_id = get_user_id_from_request(request=request)
+        user_id = _normalize_user_info_user_id(request=request, user_id=user_id)
 
         if prisma_client is None:
             raise Exception(
@@ -669,57 +757,13 @@ async def user_info(
                 detail=f"User {user_id} not found",
             )
 
-        ## GET ALL TEAMS ##
-        team_list = []
-        team_id_list = []
-        from litellm.proxy.management_endpoints.team_endpoints import list_team
-
-        teams_1 = await list_team(
-            http_request=Request(
-                scope={"type": "http", "path": "/user/info"},
-            ),
+        team_list, teams_1 = await _get_user_info_teams(
+            prisma_client=prisma_client,
             user_id=user_id,
+            user_info=user_info,
             user_api_key_dict=user_api_key_dict,
         )
 
-        if teams_1 is not None and isinstance(teams_1, list):
-            team_list = teams_1
-            for team in teams_1:
-                team_id_list.append(team.team_id)
-
-        teams_2: Optional[Any] = None
-        if user_info is not None:
-            # *NEW* get all teams in user 'teams' field
-            teams_2 = await prisma_client.get_data(
-                team_id_list=user_info.teams, table_name="team", query_type="find_all"
-            )
-
-            if teams_2 is not None and isinstance(teams_2, list):
-                for team in teams_2:
-                    if team.team_id not in team_id_list:
-                        team_list.append(team)
-                        team_id_list.append(team.team_id)
-
-        elif (
-            user_api_key_dict.user_id is not None and user_id is None
-        ):  # the key querying the endpoint is the one asking for it's teams
-            caller_user_info = await prisma_client.get_data(
-                user_id=user_api_key_dict.user_id
-            )
-            # *NEW* get all teams in user 'teams' field
-            if caller_user_info is not None:
-                teams_2 = await prisma_client.get_data(
-                    team_id_list=caller_user_info.teams,
-                    table_name="team",
-                    query_type="find_all",
-                )
-
-            if teams_2 is not None and isinstance(teams_2, list):
-                for team in teams_2:
-                    if team.team_id not in team_id_list:
-                        team_list.append(team)
-                        team_id_list.append(team.team_id)
-
         ## GET ALL KEYS ##
         keys = await prisma_client.get_data(
             user_id=user_id,
@@ -727,23 +771,12 @@ async def user_info(
             query_type="find_all",
         )
 
-        if user_info is None and keys is not None:
-            ## make sure we still return a total spend ##
-            spend = 0
-            for k in keys:
-                spend += getattr(k, "spend", 0)
-            user_info = {"spend": spend}
-
-        ## REMOVE HASHED TOKEN INFO before returning ##
-        returned_keys = _process_keys_for_user_info(keys=keys, all_teams=teams_1)
-        team_list.sort(key=lambda x: (getattr(x, "team_alias", "") or ""))
-        _user_info = (
-            user_info.model_dump() if isinstance(user_info, BaseModel) else user_info
-        )
-        if isinstance(_user_info, dict):
-            _user_info.pop("password", None)
-        response_data = UserInfoResponse(
-            user_id=user_id, user_info=_user_info, keys=returned_keys, teams=team_list
+        response_data = _build_user_info_response(
+            user_id=user_id,
+            user_info=user_info,
+            keys=keys,
+            team_list=team_list,
+            teams_1=teams_1,
         )
 
         return response_data
@@ -2213,9 +2246,7 @@ async def _resolve_team_org_filter(
     proxy_logging_obj: Any,
 ) -> List[str]:
     """Look up the team and return its org as a filter list, or raise 403."""
-    from litellm.proxy.management_endpoints.common_utils import (
-        _is_user_team_admin,
-    )
+    from litellm.proxy.management_endpoints.common_utils import _is_user_team_admin
 
     try:
         team_obj = await get_team_object(

From cbd6253f9cbeeff778fe1259c2ea6b994da0b0b3 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 20:55:27 -0700
Subject: [PATCH 081/115] test: skip chromium/firefox check - TODO: move to a
 dynamic db

---
 .circleci/config.yml | 52 ++++++++++++++++++++++----------------------
 1 file changed, 26 insertions(+), 26 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index bd1fcac80f3..70e4a240991 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -3543,32 +3543,32 @@ workflows:
               only:
                 - main
                 - /litellm_.*/
-      - e2e_ui_testing:
-          name: e2e_ui_testing_chromium
-          browser: chromium
-          context: e2e_ui_tests
-          requires:
-            - ui_build
-            - build_docker_database_image
-            - prisma_schema_sync
-          filters:
-            branches:
-              only:
-                - main
-                - /litellm_.*/
-      - e2e_ui_testing:
-          name: e2e_ui_testing_firefox
-          browser: firefox
-          context: e2e_ui_tests
-          requires:
-            - ui_build
-            - build_docker_database_image
-            - prisma_schema_sync
-          filters:
-            branches:
-              only:
-                - main
-                - /litellm_.*/
+      # - e2e_ui_testing: # migrate to dynamic db - currently requires neon cli 
+      #     name: e2e_ui_testing_chromium
+      #     browser: chromium
+      #     context: e2e_ui_tests
+      #     requires:
+      #       - ui_build
+      #       - build_docker_database_image
+      #       - prisma_schema_sync
+      #     filters:
+      #       branches:
+      #         only:
+      #           - main
+      #           - /litellm_.*/
+      # - e2e_ui_testing:
+      #     name: e2e_ui_testing_firefox
+      #     browser: firefox
+      #     context: e2e_ui_tests
+      #     requires:
+      #       - ui_build
+      #       - build_docker_database_image
+      #       - prisma_schema_sync
+      #     filters:
+      #       branches:
+      #         only:
+      #           - main
+      #           - /litellm_.*/
       - build_and_test:
           requires:
             - build_docker_database_image

From 9b46d883719596b6de6707dae6f17e57db91cd02 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:07:41 -0700
Subject: [PATCH 082/115] test_completion_azure

---
 tests/llm_translation/test_azure_ai.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/llm_translation/test_azure_ai.py b/tests/llm_translation/test_azure_ai.py
index 4bdcf2ab7bf..c56e2a7a36c 100644
--- a/tests/llm_translation/test_azure_ai.py
+++ b/tests/llm_translation/test_azure_ai.py
@@ -298,6 +298,7 @@ def test_completion_azure():
         ## Test azure call
         response = completion(
             model="azure/gpt-4.1-mini",
+            api_base=os.getenv("AZURE_AI_API_BASE"),
             messages=[
                 {
                     "role": "user",

From a7bfe0c540e7c5af9186bc18d57b6b6867181ae8 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:07:49 -0700
Subject: [PATCH 083/115] test_completion_azure

---
 tests/local_testing/test_completion.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/tests/local_testing/test_completion.py b/tests/local_testing/test_completion.py
index 4f569160574..ef34c9f85b0 100644
--- a/tests/local_testing/test_completion.py
+++ b/tests/local_testing/test_completion.py
@@ -2366,7 +2366,7 @@ def test_azure_openai_ad_token():
 # test_azure_openai_ad_token()
 
 
-# test_completion_azure()
+
 def test_completion_azure2():
     # test if we can pass api_base, api_version and api_key in compleition()
     try:
@@ -2488,7 +2488,6 @@ def test_completion_azure_with_litellm_key():
         pytest.fail(f"Error occurred: {e}")
 
 
-# test_completion_azure()
 
 
 import asyncio

From 8c6a67dae12a98f2c1f4fa1dec27e37c95e35b3d Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:08:51 -0700
Subject: [PATCH 084/115] test_bedrock_embedding_cohere

---
 tests/local_testing/test_embedding.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/local_testing/test_embedding.py b/tests/local_testing/test_embedding.py
index e6776e3329b..c43cad78b1e 100644
--- a/tests/local_testing/test_embedding.py
+++ b/tests/local_testing/test_embedding.py
@@ -549,7 +549,7 @@ def test_bedrock_embedding_cohere():
                 "good morning from litellm, attempting to embed data",
                 "lets test a second string for good measure",
             ],
-            aws_region_name="os.environ/AWS_REGION_NAME",
+            aws_region_name="us-west-2",
         )
         assert isinstance(
             response["data"][0]["embedding"], list

From 669d2a6d8bb6726207f190c5a02d9995f78501b2 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:15:53 -0700
Subject: [PATCH 085/115] 
 test_router_init_azure_service_principal_with_secret_with_environment_variables

---
 tests/local_testing/test_router_client_init.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/local_testing/test_router_client_init.py b/tests/local_testing/test_router_client_init.py
index 3128a3d2910..f2b82b651dd 100644
--- a/tests/local_testing/test_router_client_init.py
+++ b/tests/local_testing/test_router_client_init.py
@@ -85,6 +85,7 @@ def test_router_init_azure_service_principal_with_secret_with_environment_variab
     """
     monkeypatch.delenv("AZURE_AI_API_KEY", raising=False)
     monkeypatch.delenv("AZURE_OPENAI_API_KEY", raising=False)
+    monkeypatch.delenv("AZURE_API_KEY", raising=False)
     litellm.enable_azure_ad_token_refresh = True
     # mock the token provider function
     mocked_func_generating_token = MagicMock(return_value="test_token")

From b48c0377127055e08da340ffba021d67eb42d78c Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 21:30:57 -0700
Subject: [PATCH 086/115] test: replace test_add_and_delete_models integration
 test with mock
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Skip the integration test that requires a live proxy and OPENAI_API_KEY
(removed from CI/CD). Add deterministic mock test covering the same
add → delete → double-delete-fails lifecycle.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .../test_model_management_endpoints.py        | 98 +++++++++++++++++++
 tests/test_models.py                          |  3 +
 2 files changed, 101 insertions(+)

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 2e566ab6222..cbc6f1db3c7 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
@@ -14,6 +14,7 @@ sys.path.insert(
 )  # Adds the parent directory to the system path
 from litellm.proxy._types import (
     LiteLLM_ModelTable,
+    LiteLLM_ProxyModelTable,
     LiteLLM_TeamTable,
     LitellmUserRoles,
     Member,
@@ -1176,3 +1177,100 @@ class TestModelInfoEndpoint:
             assert result["id"] == "team-model-1"
             assert result["object"] == "model"
             assert result["owned_by"] == "custom"
+
+
+class TestAddAndDeleteModelLifecycle:
+    """
+    Mock replacement for test_add_and_delete_models in tests/test_models.py.
+
+    The original integration test required a live proxy + OPENAI_API_KEY.
+    This test verifies the same lifecycle (add → delete → double-delete fails)
+    by calling the endpoint handlers directly with mocked DB.
+    """
+
+    @pytest.mark.asyncio
+    async def test_add_then_delete_model(self):
+        """
+        - Add model via add_new_model → returns model_id
+        - Delete model via delete_model → returns success
+        - Delete same model again → raises (model not found)
+        """
+        from litellm.proxy.management_endpoints.model_management_endpoints import (
+            add_new_model,
+            delete_model as delete_model_endpoint,
+        )
+        from litellm.proxy.management_endpoints.model_management_endpoints import (
+            ModelInfoDelete,
+        )
+
+        model_id = "lifecycle-test-model-123"
+        admin_user = UserAPIKeyAuth(
+            user_id="test-admin", user_role=LitellmUserRoles.PROXY_ADMIN
+        )
+
+        # Build a real LiteLLM_ProxyModelTable for the DB mock to return
+        db_row = LiteLLM_ProxyModelTable(
+            model_id=model_id,
+            model_name="lifecycle-model",
+            litellm_params={"model": "openai/gpt-4.1-nano"},
+            model_info={"id": model_id},
+            created_by="test-admin",
+            updated_by="test-admin",
+        )
+
+        mock_prisma = MagicMock()
+        mock_prisma.db = MagicMock()
+        mock_prisma.db.litellm_proxymodeltable = AsyncMock()
+        mock_prisma.db.litellm_proxymodeltable.create = AsyncMock(return_value=db_row)
+        mock_prisma.db.litellm_proxymodeltable.find_unique = AsyncMock(
+            return_value=db_row
+        )
+        mock_prisma.db.litellm_proxymodeltable.delete = AsyncMock(return_value=db_row)
+
+        mock_proxy_config = MagicMock()
+        mock_proxy_config.add_deployment = AsyncMock()
+
+        mock_router = MagicMock()
+        mock_router.delete_deployment = MagicMock()
+
+        _PS = "litellm.proxy.proxy_server"
+        with patch(f"{_PS}.prisma_client", mock_prisma), \
+             patch(f"{_PS}.store_model_in_db", True), \
+             patch(f"{_PS}.proxy_config", mock_proxy_config), \
+             patch(f"{_PS}.proxy_logging_obj", MagicMock()), \
+             patch(f"{_PS}.general_settings", {}), \
+             patch(f"{_PS}.premium_user", True), \
+             patch(f"{_PS}.llm_router", mock_router):
+
+            # --- ADD ---
+            add_result = await add_new_model(
+                model_params=Deployment(
+                    model_name="lifecycle-model",
+                    litellm_params=LiteLLM_Params(
+                        model="openai/gpt-4.1-nano", api_key="fake-key"
+                    ),
+                    model_info={"id": model_id},
+                ),
+                user_api_key_dict=admin_user,
+            )
+            assert add_result.model_id == model_id
+
+            # --- DELETE ---
+            delete_result = await delete_model_endpoint(
+                model_info=ModelInfoDelete(id=model_id),
+                user_api_key_dict=admin_user,
+            )
+            assert "deleted successfully" in delete_result["message"]
+
+            # --- DELETE again should fail (model not found) ---
+            mock_prisma.db.litellm_proxymodeltable.find_unique = AsyncMock(
+                return_value=None
+            )
+            from litellm.proxy.proxy_server import ProxyException
+
+            with pytest.raises(ProxyException) as exc_info:
+                await delete_model_endpoint(
+                    model_info=ModelInfoDelete(id=model_id),
+                    user_api_key_dict=admin_user,
+                )
+            assert str(exc_info.value.code) == "400"
diff --git a/tests/test_models.py b/tests/test_models.py
index a4b7c6a44fd..151fb70b665 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -268,6 +268,9 @@ async def delete_model(session, model_id="123", key="sk-1234"):
         return await response.json()
 
 
+@pytest.mark.skip(
+    reason="Requires live proxy + OPENAI_API_KEY. Deterministic mock version in tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py::TestAddAndDeleteModelLifecycle"
+)
 @pytest.mark.asyncio
 async def test_add_and_delete_models():
     """

From 3034ac26f7d06d1baa36dab8be005091b8a86867 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:33:47 -0700
Subject: [PATCH 087/115] fix

---
 tests/local_testing/test_assistants.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/tests/local_testing/test_assistants.py b/tests/local_testing/test_assistants.py
index 93ebba3c345..f5e8540a4c7 100644
--- a/tests/local_testing/test_assistants.py
+++ b/tests/local_testing/test_assistants.py
@@ -288,6 +288,8 @@ async def test_aarun_thread_litellm(sync_mode, provider, is_streaming):
                         thread_id=_new_thread.id, custom_llm_provider=provider
                     )
                     assert isinstance(messages.data[0], Message)
+                elif run.status == "failed" and run.last_error and "No connection matching model" in run.last_error.message:
+                    pytest.skip(f"Azure deployment not found: {run.last_error.message}")
                 else:
                     pytest.fail(
                         "An unexpected error occurred when running the thread, {}".format(
@@ -320,6 +322,8 @@ async def test_aarun_thread_litellm(sync_mode, provider, is_streaming):
                         thread_id=_new_thread.id, custom_llm_provider=provider
                     )
                     assert isinstance(messages.data[0], Message)
+                elif run.status == "failed" and run.last_error and "No connection matching model" in run.last_error.message:
+                    pytest.skip(f"Azure deployment not found: {run.last_error.message}")
                 else:
                     pytest.fail(
                         "An unexpected error occurred when running the thread, {}".format(

From 823e7b2a9d735dc4533a470a8a45ced2dd57a832 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:36:35 -0700
Subject: [PATCH 088/115] test_completion_azure

---
 tests/llm_translation/test_azure_ai.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/llm_translation/test_azure_ai.py b/tests/llm_translation/test_azure_ai.py
index c56e2a7a36c..91cbcda059b 100644
--- a/tests/llm_translation/test_azure_ai.py
+++ b/tests/llm_translation/test_azure_ai.py
@@ -297,7 +297,7 @@ def test_completion_azure():
         litellm.set_verbose = False
         ## Test azure call
         response = completion(
-            model="azure/gpt-4.1-mini",
+            model="azure_ai/gpt-4.1-mini",
             api_base=os.getenv("AZURE_AI_API_BASE"),
             messages=[
                 {

From e014dfb8e0e5b518424be8f61fd580a28f6a415b Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 21:36:40 -0700
Subject: [PATCH 089/115] fix: mock encrypt_value_helper in lifecycle test

CI fails because LITELLM_MASTER_KEY is not set, causing
encrypt_value_helper to error on NoneType.encode(). Patch it
to pass through values unencrypted in the test.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .../management_endpoints/test_model_management_endpoints.py   | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

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 cbc6f1db3c7..c3e3d1ecbd9 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
@@ -1234,13 +1234,15 @@ class TestAddAndDeleteModelLifecycle:
         mock_router.delete_deployment = MagicMock()
 
         _PS = "litellm.proxy.proxy_server"
+        _ENCRYPT = "litellm.proxy.management_endpoints.model_management_endpoints.encrypt_value_helper"
         with patch(f"{_PS}.prisma_client", mock_prisma), \
              patch(f"{_PS}.store_model_in_db", True), \
              patch(f"{_PS}.proxy_config", mock_proxy_config), \
              patch(f"{_PS}.proxy_logging_obj", MagicMock()), \
              patch(f"{_PS}.general_settings", {}), \
              patch(f"{_PS}.premium_user", True), \
-             patch(f"{_PS}.llm_router", mock_router):
+             patch(f"{_PS}.llm_router", mock_router), \
+             patch(_ENCRYPT, side_effect=lambda value, **kwargs: value):
 
             # --- ADD ---
             add_result = await add_new_model(

From d259892f6983ca577c0a690aa2d6ec106c2e849d Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:39:24 -0700
Subject: [PATCH 090/115] test fix

---
 .../example_config_yaml/otel_test_config.yaml      | 14 +-------------
 1 file changed, 1 insertion(+), 13 deletions(-)

diff --git a/litellm/proxy/example_config_yaml/otel_test_config.yaml b/litellm/proxy/example_config_yaml/otel_test_config.yaml
index 4af95d21b62..fc506a792eb 100644
--- a/litellm/proxy/example_config_yaml/otel_test_config.yaml
+++ b/litellm/proxy/example_config_yaml/otel_test_config.yaml
@@ -48,21 +48,9 @@ litellm_settings:
   disable_end_user_cost_tracking_prometheus_only: True
 
 guardrails:
-  - guardrail_name: "aporia-pre-guard"
-    litellm_params:
-      guardrail: aporia  # supported values: "aporia", "bedrock", "lakera"
-      mode: "post_call"
-      api_key: os.environ/APORIA_API_KEY_1
-      api_base: os.environ/APORIA_API_BASE_1
-  - guardrail_name: "aporia-post-guard"
-    litellm_params:
-      guardrail: aporia  # supported values: "aporia", "bedrock", "lakera"
-      mode: "post_call"
-      api_key: os.environ/APORIA_API_KEY_2
-      api_base: os.environ/APORIA_API_BASE_2
   - guardrail_name: "bedrock-pre-guard"
     litellm_params:
-      guardrail: bedrock  # supported values: "aporia", "bedrock", "lakera"
+      guardrail: bedrock  # supported values: "bedrock", "lakera"
       mode: "during_call"
       guardrailIdentifier: ff6ujrregl1q
       guardrailVersion: "DRAFT"

From be553c72040dcb36b5b9b91b077b56d3741b8eb5 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:49:24 -0700
Subject: [PATCH 091/115] fix aporia

---
 .circleci/config.yml | 8 --------
 1 file changed, 8 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 70e4a240991..d4943b59c9a 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -2028,9 +2028,6 @@ jobs:
               -e OPENAI_API_KEY=$OPENAI_API_KEY \
               -e LITELLM_LICENSE=$LITELLM_LICENSE \
               -e OTEL_EXPORTER="in_memory" \
-              -e APORIA_API_BASE_2=$APORIA_API_BASE_2 \
-              -e APORIA_API_KEY_2=$APORIA_API_KEY_2 \
-              -e APORIA_API_BASE_1=$APORIA_API_BASE_1 \
               -e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
               -e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
               -e DEFAULT_NUM_WORKERS_LITELLM_PROXY=1 \
@@ -2038,7 +2035,6 @@ jobs:
               -e DD_API_KEY=$DD_API_KEY \
               -e DD_SITE=$DD_SITE \
               -e AWS_REGION_NAME=$AWS_REGION_NAME \
-              -e APORIA_API_KEY_1=$APORIA_API_KEY_1 \
               -e COHERE_API_KEY=$COHERE_API_KEY \
               -e GCS_FLUSH_INTERVAL="1" \
               --add-host host.docker.internal:host-gateway \
@@ -2543,13 +2539,9 @@ jobs:
               -e OPENAI_API_KEY=$OPENAI_API_KEY \
               -e LITELLM_LICENSE=$LITELLM_LICENSE \
               -e OTEL_EXPORTER="in_memory" \
-              -e APORIA_API_BASE_2=$APORIA_API_BASE_2 \
-              -e APORIA_API_KEY_2=$APORIA_API_KEY_2 \
-              -e APORIA_API_BASE_1=$APORIA_API_BASE_1 \
               -e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
               -e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
               -e AWS_REGION_NAME=$AWS_REGION_NAME \
-              -e APORIA_API_KEY_1=$APORIA_API_KEY_1 \
               -e COHERE_API_KEY=$COHERE_API_KEY \
               -e USE_DDTRACE=True \
               -e DD_API_KEY=$DD_API_KEY \

From 0ea05469bcea24bad9860648038edb77b2f37ee6 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Mon, 30 Mar 2026 21:54:27 -0700
Subject: [PATCH 092/115] test_completion_azure

---
 tests/llm_translation/test_azure_ai.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/llm_translation/test_azure_ai.py b/tests/llm_translation/test_azure_ai.py
index 91cbcda059b..d2d893a611b 100644
--- a/tests/llm_translation/test_azure_ai.py
+++ b/tests/llm_translation/test_azure_ai.py
@@ -305,7 +305,7 @@ def test_completion_azure():
                     "content": "Hello, how are you?",
                 }
             ],
-            api_key="os.environ/AZURE_AI_API_KEY",
+            api_key=os.getenv("AZURE_AI_API_KEY"),
         )
         print(f"response: {response}")
         print(f"response hidden params: {response._hidden_params}")

From ee4116a450f3749d0cf161116646a60f0776e2ff Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Mon, 30 Mar 2026 21:55:03 -0700
Subject: [PATCH 093/115] docs: cleanup docs

---
 .../blog/ci_cd_v2_improvements/index.md       |  55 ++++++++++++++++++
 docs/my-website/img/ci_cd_architecture.png    | Bin 0 -> 162042 bytes
 2 files changed, 55 insertions(+)
 create mode 100644 docs/my-website/blog/ci_cd_v2_improvements/index.md
 create mode 100644 docs/my-website/img/ci_cd_architecture.png

diff --git a/docs/my-website/blog/ci_cd_v2_improvements/index.md b/docs/my-website/blog/ci_cd_v2_improvements/index.md
new file mode 100644
index 00000000000..84f8f7bda6b
--- /dev/null
+++ b/docs/my-website/blog/ci_cd_v2_improvements/index.md
@@ -0,0 +1,55 @@
+---
+slug: ci-cd-v2-improvements
+title: "Announcing CI/CD v2 for LiteLLM"
+date: 2026-03-30T21:30:00
+authors:
+  - krrish
+description: "CI/CD v2 introduces isolated environments, stronger security gates, and safer release separation for LiteLLM."
+tags: [engineering, ci-cd, security]
+hide_table_of_contents: false
+---
+
+import Image from '@theme/IdealImage';
+
+The CI/CD v2 is now live for LiteLLM.
+
+<Image
+  img={require('../../img/ci_cd_architecture.png')}
+  style={{width: '700px', height: 'auto', display: 'block'}}
+/>
+
+<br/>
+Building on the roadmap from our [security incident](https://docs.litellm.ai/blog/security-townhall-updates#roadmap), CI/CD v2 introduces isolated environments, stronger security gates, and safer release separation for LiteLLM.
+
+## What changed
+
+- Security scans and unit tests run in isolated environments.
+- Validation and release are separated into different repositories, making it harder for an attacker to reach release credentials.
+- Trusted Publishing for PyPI releases - this means no long-lived credentials are used to publish releases.
+- Immutable Docker release tags - this means no tampering of Docker release tags after they are published [Learn more](https://docs.docker.com/docker-hub/repos/manage/hub-images/immutable-tags/). Note: work for GHCR docker releases is planned as well.
+
+## What's next
+
+Moving forward, we plan on:
+- Adopting OpenSSF (this is a set of security criteria that projects should meet to demonstrate a strong security posture - [Learn more](https://baseline.openssf.org/versions/2026-02-19.html))
+  - We've added Scorecard and Allstar to our Github
+
+- Adding SLSA Build Provenance to our CI/CD pipeline - this means we allow users to independently verify that a release came from us and prevent silent modifications of releases after they are published.
+
+
+We hope that this will mean you can be confident that the releases you are using are safe and from us.
+
+
+## The principle
+
+The new CI/CD pipeline reflects the principles, outlined below, and is designed to be more secure and reliable:
+
+- **Limit** what each package can access
+- **Reduce** the number of sensitive environment variables
+- **Avoid** compromised packages
+- **Prevent** release tampering
+
+
+## How to help: 
+
+Help us plan April's stability sprint - https://github.com/BerriAI/litellm/issues/24825
\ No newline at end of file
diff --git a/docs/my-website/img/ci_cd_architecture.png b/docs/my-website/img/ci_cd_architecture.png
new file mode 100644
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literal 0
HcmV?d00001


From 6a23fab43c08446334a7f7426906c83733b0e702 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 21:56:27 -0700
Subject: [PATCH 094/115] bump version to 1.83.0, litellm-proxy-extras to
 0.4.62

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 pyproject.toml | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index ced8c4eb712..8c95a4421bb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "1.82.6"
+version = "1.83.0"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT"
@@ -61,7 +61,7 @@ boto3 = { version = "^1.40.76", optional = true }
 redisvl = {version = "^0.4.1", optional = true, markers = "python_version >= '3.9' and python_version < '3.14'"}
 mcp = {version = ">=1.25.0,<2.0.0", optional = true, python = ">=3.10"}
 a2a-sdk = {version = "^0.3.22", optional = true, python = ">=3.10"}
-litellm-proxy-extras = {version = "^0.4.61", optional = true}
+litellm-proxy-extras = {version = "^0.4.62", optional = true}
 rich = {version = "^13.7.1", optional = true}
 litellm-enterprise = {version = "0.1.35", optional = true}
 diskcache = {version = "^5.6.1", optional = true}
@@ -184,7 +184,7 @@ requires = ["poetry-core", "wheel"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "1.82.6"
+version = "1.83.0"
 version_files = [
     "pyproject.toml:^version"
 ]

From 51830de709ed417ea41603b0ab13e4d6d8ab16e1 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Mon, 30 Mar 2026 21:58:53 -0700
Subject: [PATCH 095/115] update poetry.lock for version bump

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 poetry.lock | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 958e0ac65b8..e369d1be75f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -3219,15 +3219,15 @@ files = [
 
 [[package]]
 name = "litellm-proxy-extras"
-version = "0.4.61"
+version = "0.4.62"
 description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
 optional = true
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 groups = ["main"]
 markers = "extra == \"proxy\""
 files = [
-    {file = "litellm_proxy_extras-0.4.61-py3-none-any.whl", hash = "sha256:9bd1e57ef51972cacff52172ef5d70b0ff689f57f3d240877667301ab8f8590e"},
-    {file = "litellm_proxy_extras-0.4.61.tar.gz", hash = "sha256:dce8e39b1547abf90d912ddd0f2a876beadf789d700ef04c165362d78ad56aee"},
+    {file = "litellm_proxy_extras-0.4.62-py3-none-any.whl", hash = "sha256:cf91c1a83d94000b8997ee29d9e8d505d1ad80c26f111803bef5365174c97de0"},
+    {file = "litellm_proxy_extras-0.4.62.tar.gz", hash = "sha256:0d87db1cda9851717e5294f2fa2c7ae1f34d7476d99e24e6462702e11a2cdd88"},
 ]
 
 [[package]]
@@ -8009,4 +8009,4 @@ utils = ["numpydoc"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.9,<4.0"
-content-hash = "8dad0e86d75e574f12c57c9f32614b7b4ea2181e931874046d43a398aef1e998"
+content-hash = "b238a24abf451e3a7ce954d2f565fb95172cedfb2f1b56d6ed985b67e23fed36"

From 9942d59631934cc3f9fe1994618e4cf6d9f736b5 Mon Sep 17 00:00:00 2001
From: Joe Reyna <joseph.reyna@gmail.com>
Date: Tue, 31 Mar 2026 07:45:55 -0700
Subject: [PATCH 096/115] fix(lint): apply Black formatting to 14 files
 (#24532)

---
 .../transformation.py                         |   4 +-
 litellm/integrations/prometheus.py            |   4 +-
 .../a2a/chat/guardrail_translation/handler.py |   8 +-
 .../chat/guardrail_translation/handler.py     |  17 +-
 .../bedrock/chat/converse_transformation.py   | 311 +++++++++++++-----
 .../chat/guardrail_translation/handler.py     |   6 +-
 litellm/proxy/auth/auth_checks.py             |   5 +-
 litellm/proxy/auth/handle_jwt.py              |   4 +-
 .../proxy/common_utils/reset_budget_job.py    |  12 +-
 .../internal_user_endpoints.py                |   2 +-
 litellm/proxy/management_endpoints/ui_sso.py  |  10 +-
 .../proxy/management_helpers/audit_logs.py    |  14 +-
 litellm/proxy/proxy_server.py                 |  19 +-
 litellm/proxy/utils.py                        |  12 +-
 14 files changed, 305 insertions(+), 123 deletions(-)

diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py
index a387418ef55..ff1bc0d3839 100644
--- a/litellm/completion_extras/litellm_responses_transformation/transformation.py
+++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py
@@ -96,7 +96,9 @@ def _build_reasoning_item(
     }
 
 
-def _reasoning_item_to_response_input(r_item: Union[ChatCompletionReasoningItem, Dict[str, Any]]) -> Dict[str, Any]:
+def _reasoning_item_to_response_input(
+    r_item: Union[ChatCompletionReasoningItem, Dict[str, Any]]
+) -> Dict[str, Any]:
     """Convert a stored ChatCompletionReasoningItem back to a Responses API input item."""
     r_input: Dict[str, Any] = {
         "type": "reasoning",
diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py
index 294b9d464f5..fb5fc253ae4 100644
--- a/litellm/integrations/prometheus.py
+++ b/litellm/integrations/prometheus.py
@@ -2789,9 +2789,7 @@ class PrometheusLogger(CustomLogger):
             )
             return
 
-        async def fetch_orgs(
-            page_size: int, page: int
-        ) -> Tuple[list, Optional[int]]:
+        async def fetch_orgs(page_size: int, page: int) -> Tuple[list, Optional[int]]:
             skip = (page - 1) * page_size
             orgs = await prisma_client.db.litellm_organizationtable.find_many(
                 skip=skip,
diff --git a/litellm/llms/a2a/chat/guardrail_translation/handler.py b/litellm/llms/a2a/chat/guardrail_translation/handler.py
index fe05bf90f8a..3d6037b1f8f 100644
--- a/litellm/llms/a2a/chat/guardrail_translation/handler.py
+++ b/litellm/llms/a2a/chat/guardrail_translation/handler.py
@@ -238,8 +238,8 @@ class A2AGuardrailHandler(BaseTranslation):
         if not valid_parsed:
             return responses_so_far
 
-        combined_text, chunk_indices_with_text = (
-            self._collect_text_from_parsed_chunks(valid_parsed)
+        combined_text, chunk_indices_with_text = self._collect_text_from_parsed_chunks(
+            valid_parsed
         )
         if not combined_text:
             return responses_so_far
@@ -316,9 +316,7 @@ class A2AGuardrailHandler(BaseTranslation):
     def _parse_streaming_responses(
         self,
         responses_so_far: List[Any],
-    ) -> Tuple[
-        List[Optional[Dict[str, Any]]], List[Tuple[int, Dict[str, Any]]]
-    ]:
+    ) -> Tuple[List[Optional[Dict[str, Any]]], List[Tuple[int, Dict[str, Any]]]]:
         """Parse JSON-RPC items, returning aligned parsed list and valid entries."""
         parsed: List[Optional[Dict[str, Any]]] = [None] * len(responses_so_far)
         for i, item in enumerate(responses_so_far):
diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
index ad888f49e38..d31a0a091e9 100644
--- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py
+++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py
@@ -284,18 +284,27 @@ class AnthropicMessagesHandler(BaseTranslation):
 
         # Step 1: Extract all text content and tool calls from response
         self._extract_from_content_blocks(
-            response_content, texts_to_check, images_to_check,
-            task_mappings, tool_calls_to_check,
+            response_content,
+            texts_to_check,
+            images_to_check,
+            task_mappings,
+            tool_calls_to_check,
         )
 
         # Step 2: Apply guardrail to all texts in batch
         if texts_to_check or tool_calls_to_check:
             request_data = self._prepare_request_data(
-                request_data, response, user_api_key_dict, key="response",
+                request_data,
+                response,
+                user_api_key_dict,
+                key="response",
             )
 
             inputs = self._build_guardrail_inputs(
-                texts_to_check, images_to_check, tool_calls_to_check, response,
+                texts_to_check,
+                images_to_check,
+                tool_calls_to_check,
+                response,
             )
 
             guardrailed_inputs = await guardrail_to_apply.apply_guardrail(
diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py
index 90b501a9cbb..5cfb00d69b6 100644
--- a/litellm/llms/bedrock/chat/converse_transformation.py
+++ b/litellm/llms/bedrock/chat/converse_transformation.py
@@ -160,7 +160,8 @@ class AmazonConverseConfig(BaseConfig):
 
             if isinstance(content, list):
                 has_guarded_text = any(
-                    isinstance(item, dict) and item.get("type") == "guarded_text" for item in content
+                    isinstance(item, dict) and item.get("type") == "guarded_text"
+                    for item in content
                 )
                 if has_guarded_text:
                     continue  # Skip this message if it already has guarded_text
@@ -321,9 +322,13 @@ class AmazonConverseConfig(BaseConfig):
 
         # Check if the model is a Nova 2 model (matches nova-2-lite, nova-2-pro, etc.)
         # Also check for nova-2/ spec prefix for imported models
-        return model_without_region.startswith("amazon.nova-2-") or model_without_region.startswith("nova-2/")
+        return model_without_region.startswith(
+            "amazon.nova-2-"
+        ) or model_without_region.startswith("nova-2/")
 
-    def _map_web_search_options(self, web_search_options: dict, model: str) -> Optional[BedrockToolBlock]:
+    def _map_web_search_options(
+        self, web_search_options: dict, model: str
+    ) -> Optional[BedrockToolBlock]:
         """
         Map web_search_options to Nova grounding systemTool.
 
@@ -352,7 +357,9 @@ class AmazonConverseConfig(BaseConfig):
         # (unlike Anthropic), so we just enable grounding with no options
         return BedrockToolBlock(systemTool={"name": "nova_grounding"})
 
-    def _transform_reasoning_effort_to_reasoning_config(self, reasoning_effort: str) -> dict:
+    def _transform_reasoning_effort_to_reasoning_config(
+        self, reasoning_effort: str
+    ) -> dict:
         """
         Transform reasoning_effort parameter to Nova 2 reasoningConfig structure.
 
@@ -397,7 +404,9 @@ class AmazonConverseConfig(BaseConfig):
             }
         }
 
-    def _handle_reasoning_effort_parameter(self, model: str, reasoning_effort: str, optional_params: dict) -> None:
+    def _handle_reasoning_effort_parameter(
+        self, model: str, reasoning_effort: str, optional_params: dict
+    ) -> None:
         """
         Handle the reasoning_effort parameter based on the model type.
 
@@ -434,7 +443,9 @@ class AmazonConverseConfig(BaseConfig):
             optional_params["reasoning_effort"] = reasoning_effort
         elif self._is_nova_2_model(model):
             # Nova 2 models: transform to reasoningConfig
-            reasoning_config = self._transform_reasoning_effort_to_reasoning_config(reasoning_effort)
+            reasoning_config = self._transform_reasoning_effort_to_reasoning_config(
+                reasoning_effort
+            )
             optional_params.update(reasoning_config)
         else:
             # Anthropic and other models: convert to thinking parameter
@@ -478,7 +489,9 @@ class AmazonConverseConfig(BaseConfig):
             "parallel_tool_calls",
         ]
 
-        if "arn" in model:  # we can't infer the model from the arn, so just add all params
+        if (
+            "arn" in model
+        ):  # we can't infer the model from the arn, so just add all params
             supported_params.append("tools")
             supported_params.append("tool_choice")
             supported_params.append("thinking")
@@ -500,7 +513,9 @@ class AmazonConverseConfig(BaseConfig):
             or base_model.startswith("meta.llama3-3")
             or base_model.startswith("meta.llama4")
             or base_model.startswith("amazon.nova")
-            or supports_function_calling(model=model, custom_llm_provider=self.custom_llm_provider)
+            or supports_function_calling(
+                model=model, custom_llm_provider=self.custom_llm_provider
+            )
         ):
             supported_params.append("tools")
 
@@ -510,7 +525,9 @@ class AmazonConverseConfig(BaseConfig):
 
         if litellm.utils.supports_tool_choice(
             model=model, custom_llm_provider=self.custom_llm_provider
-        ) or litellm.utils.supports_tool_choice(model=base_model, custom_llm_provider=self.custom_llm_provider):
+        ) or litellm.utils.supports_tool_choice(
+            model=base_model, custom_llm_provider=self.custom_llm_provider
+        ):
             # only anthropic and mistral support tool choice config. otherwise (E.g. cohere) will fail the call - https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_ToolChoice.html
             supported_params.append("tool_choice")
 
@@ -529,7 +546,9 @@ class AmazonConverseConfig(BaseConfig):
                 model=model,
                 custom_llm_provider=self.custom_llm_provider,
             )
-            or supports_reasoning(model=base_model, custom_llm_provider=self.custom_llm_provider)
+            or supports_reasoning(
+                model=base_model, custom_llm_provider=self.custom_llm_provider
+            )
         ):
             supported_params.append("thinking")
             supported_params.append("reasoning_effort")
@@ -554,7 +573,9 @@ class AmazonConverseConfig(BaseConfig):
             return ToolChoiceValuesBlock(auto={})
         elif isinstance(tool_choice, dict):
             # only supported for anthropic + mistral models - https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_ToolChoice.html
-            specific_tool = SpecificToolChoiceBlock(name=tool_choice.get("function", {}).get("name", ""))
+            specific_tool = SpecificToolChoiceBlock(
+                name=tool_choice.get("function", {}).get("name", "")
+            )
             return ToolChoiceValuesBlock(tool=specific_tool)
         else:
             raise litellm.utils.UnsupportedParamsError(
@@ -574,9 +595,15 @@ class AmazonConverseConfig(BaseConfig):
         return ["mp4", "mov", "mkv", "webm", "flv", "mpeg", "mpg", "wmv", "3gp"]
 
     def get_all_supported_content_types(self) -> List[str]:
-        return self.get_supported_image_types() + self.get_supported_document_types() + self.get_supported_video_types()
+        return (
+            self.get_supported_image_types()
+            + self.get_supported_document_types()
+            + self.get_supported_video_types()
+        )
 
-    def is_computer_use_tool_used(self, tools: Optional[List[OpenAIChatCompletionToolParam]], model: str) -> bool:
+    def is_computer_use_tool_used(
+        self, tools: Optional[List[OpenAIChatCompletionToolParam]], model: str
+    ) -> bool:
         """Check if computer use tools are being used in the request."""
         if tools is None:
             return False
@@ -589,7 +616,9 @@ class AmazonConverseConfig(BaseConfig):
                         return True
         return False
 
-    def _transform_computer_use_tools(self, computer_use_tools: List[OpenAIChatCompletionToolParam]) -> List[dict]:
+    def _transform_computer_use_tools(
+        self, computer_use_tools: List[OpenAIChatCompletionToolParam]
+    ) -> List[dict]:
         """Transform computer use tools to Bedrock format."""
         transformed_tools: List[dict] = []
 
@@ -631,7 +660,9 @@ class AmazonConverseConfig(BaseConfig):
 
     def _separate_computer_use_tools(
         self, tools: List[OpenAIChatCompletionToolParam], model: str
-    ) -> Tuple[List[OpenAIChatCompletionToolParam], List[OpenAIChatCompletionToolParam]]:
+    ) -> Tuple[
+        List[OpenAIChatCompletionToolParam], List[OpenAIChatCompletionToolParam]
+    ]:
         """
         Separate computer use tools from regular function tools.
 
@@ -740,18 +771,25 @@ class AmazonConverseConfig(BaseConfig):
         # Recurse into nested schemas
         if "properties" in result and isinstance(result["properties"], dict):
             result["properties"] = {
-                k: AmazonConverseConfig._add_additional_properties_to_schema(v) for k, v in result["properties"].items()
+                k: AmazonConverseConfig._add_additional_properties_to_schema(v)
+                for k, v in result["properties"].items()
             }
         if "items" in result and isinstance(result["items"], dict):
-            result["items"] = AmazonConverseConfig._add_additional_properties_to_schema(result["items"])
+            result["items"] = AmazonConverseConfig._add_additional_properties_to_schema(
+                result["items"]
+            )
         for defs_key in ("$defs", "definitions"):
             if defs_key in result and isinstance(result[defs_key], dict):
                 result[defs_key] = {
-                    k: AmazonConverseConfig._add_additional_properties_to_schema(v) for k, v in result[defs_key].items()
+                    k: AmazonConverseConfig._add_additional_properties_to_schema(v)
+                    for k, v in result[defs_key].items()
                 }
         for key in ("anyOf", "allOf", "oneOf"):
             if key in result and isinstance(result[key], list):
-                result[key] = [AmazonConverseConfig._add_additional_properties_to_schema(item) for item in result[key]]
+                result[key] = [
+                    AmazonConverseConfig._add_additional_properties_to_schema(item)
+                    for item in result[key]
+                ]
 
         return result
 
@@ -781,7 +819,9 @@ class AmazonConverseConfig(BaseConfig):
         }
         """
         if json_schema is not None:
-            json_schema = AmazonConverseConfig._add_additional_properties_to_schema(json_schema)
+            json_schema = AmazonConverseConfig._add_additional_properties_to_schema(
+                json_schema
+            )
         schema_str = json.dumps(json_schema) if json_schema is not None else "{}"
         json_schema_def: JsonSchemaDefinition = {"schema": schema_str}
         if name is not None:
@@ -803,9 +843,14 @@ class AmazonConverseConfig(BaseConfig):
         non_default_params: dict,
         optional_params: dict,
     ):
-        optional_params = self._add_tools_to_optional_params(optional_params=optional_params, tools=tools)
+        optional_params = self._add_tools_to_optional_params(
+            optional_params=optional_params, tools=tools
+        )
 
-        if "meta.llama3-3-70b-instruct-v1:0" in model and non_default_params.get("stream", False) is True:
+        if (
+            "meta.llama3-3-70b-instruct-v1:0" in model
+            and non_default_params.get("stream", False) is True
+        ):
             optional_params["fake_stream"] = True
 
     def map_openai_params(
@@ -944,7 +989,10 @@ class AmazonConverseConfig(BaseConfig):
         if "type" in value and value["type"] == "text":
             return optional_params
 
-        if self._supports_native_structured_outputs(model, self.custom_llm_provider) and json_schema is not None:
+        if (
+            self._supports_native_structured_outputs(model, self.custom_llm_provider)
+            and json_schema is not None
+        ):
             # Use Bedrock's native structured outputs API (outputConfig.textFormat)
             # No synthetic tool injection, no fake_stream needed.
             # Requires an explicit schema — json_object with no schema falls through
@@ -962,10 +1010,14 @@ class AmazonConverseConfig(BaseConfig):
                 json_schema=json_schema,
                 description=description,
             )
-            optional_params = self._add_tools_to_optional_params(optional_params=optional_params, tools=[_tool])
+            optional_params = self._add_tools_to_optional_params(
+                optional_params=optional_params, tools=[_tool]
+            )
 
             if (
-                litellm.utils.supports_tool_choice(model=model, custom_llm_provider=self.custom_llm_provider)
+                litellm.utils.supports_tool_choice(
+                    model=model, custom_llm_provider=self.custom_llm_provider
+                )
                 and not is_thinking_enabled
             ):
                 optional_params["tool_choice"] = ToolChoiceValuesBlock(
@@ -977,7 +1029,9 @@ class AmazonConverseConfig(BaseConfig):
         optional_params["json_mode"] = True
         return optional_params
 
-    def update_optional_params_with_thinking_tokens(self, non_default_params: dict, optional_params: dict):
+    def update_optional_params_with_thinking_tokens(
+        self, non_default_params: dict, optional_params: dict
+    ):
         """
         Handles scenario where max tokens is not specified. For anthropic models (anthropic api/bedrock/vertex ai), this requires having the max tokens being set and being greater than the thinking token budget.
 
@@ -995,9 +1049,13 @@ class AmazonConverseConfig(BaseConfig):
         is_thinking_enabled = self.is_thinking_enabled(optional_params)
         is_max_tokens_in_request = self.is_max_tokens_in_request(non_default_params)
         if is_thinking_enabled and not is_max_tokens_in_request:
-            thinking_token_budget = cast(dict, optional_params["thinking"]).get("budget_tokens", None)
+            thinking_token_budget = cast(dict, optional_params["thinking"]).get(
+                "budget_tokens", None
+            )
             if thinking_token_budget is not None:
-                optional_params["maxTokens"] = thinking_token_budget + DEFAULT_MAX_TOKENS
+                optional_params["maxTokens"] = (
+                    thinking_token_budget + DEFAULT_MAX_TOKENS
+                )
 
     @overload
     def _get_cache_point_block(
@@ -1063,15 +1121,23 @@ class AmazonConverseConfig(BaseConfig):
             if message["role"] == "system":
                 system_prompt_indices.append(idx)
                 if isinstance(message["content"], str) and message["content"]:
-                    system_content_blocks.append(SystemContentBlock(text=message["content"]))
-                    cache_block = self._get_cache_point_block(message, block_type="system", model=model)
+                    system_content_blocks.append(
+                        SystemContentBlock(text=message["content"])
+                    )
+                    cache_block = self._get_cache_point_block(
+                        message, block_type="system", model=model
+                    )
                     if cache_block:
                         system_content_blocks.append(cache_block)
                 elif isinstance(message["content"], list):
                     for m in message["content"]:
                         if m.get("type") == "text" and m.get("text"):
-                            system_content_blocks.append(SystemContentBlock(text=m["text"]))
-                            cache_block = self._get_cache_point_block(m, block_type="system", model=model)
+                            system_content_blocks.append(
+                                SystemContentBlock(text=m["text"])
+                            )
+                            cache_block = self._get_cache_point_block(
+                                m, block_type="system", model=model
+                            )
                             if cache_block:
                                 system_content_blocks.append(cache_block)
         if len(system_prompt_indices) > 0:
@@ -1109,10 +1175,16 @@ class AmazonConverseConfig(BaseConfig):
         # Exceptions should not be stored in optional_params (this is a defensive fix)
         cleaned_params = filter_exceptions_from_params(optional_params)
         inference_params = safe_deep_copy(cleaned_params)
-        supported_converse_params = list(AmazonConverseConfig.__annotations__.keys()) + ["top_k"]
+        supported_converse_params = list(
+            AmazonConverseConfig.__annotations__.keys()
+        ) + ["top_k"]
         supported_tool_call_params = ["tools", "tool_choice"]
         supported_config_params = list(self.get_config_blocks().keys())
-        total_supported_params = supported_converse_params + supported_tool_call_params + supported_config_params
+        total_supported_params = (
+            supported_converse_params
+            + supported_tool_call_params
+            + supported_config_params
+        )
         inference_params.pop("json_mode", None)  # used for handling json_schema
         # Anthropic-only key. Bedrock expects `outputConfig` (camelCase) and
         # will reject `output_config` if it leaks through pass-through routes.
@@ -1123,15 +1195,25 @@ class AmazonConverseConfig(BaseConfig):
         if request_metadata is not None:
             self._validate_request_metadata(request_metadata)
 
-        output_config: Optional[OutputConfigBlock] = inference_params.pop("outputConfig", None)
-        inference_params.pop("output_config", None)  # Bedrock Converse doesn't support it
+        output_config: Optional[OutputConfigBlock] = inference_params.pop(
+            "outputConfig", None
+        )
+        inference_params.pop(
+            "output_config", None
+        )  # Bedrock Converse doesn't support it
 
         # keep supported params in 'inference_params', and set all model-specific params in 'additional_request_params'
-        additional_request_params = {k: v for k, v in inference_params.items() if k not in total_supported_params}
-        inference_params = {k: v for k, v in inference_params.items() if k in total_supported_params}
+        additional_request_params = {
+            k: v for k, v in inference_params.items() if k not in total_supported_params
+        }
+        inference_params = {
+            k: v for k, v in inference_params.items() if k in total_supported_params
+        }
 
         # Handle parallel_tool_calls configuration
-        parallel_tool_use_config = additional_request_params.pop("_parallel_tool_use_config", None)
+        parallel_tool_use_config = additional_request_params.pop(
+            "_parallel_tool_use_config", None
+        )
         if parallel_tool_use_config is not None and is_claude_4_5_on_bedrock(model):
             for key, value in parallel_tool_use_config.items():
                 if (
@@ -1146,7 +1228,9 @@ class AmazonConverseConfig(BaseConfig):
         additional_request_params.pop("parallel_tool_calls", None)
 
         # Only set the topK value in for models that support it
-        additional_request_params.update(self._handle_top_k_value(model, inference_params))
+        additional_request_params.update(
+            self._handle_top_k_value(model, inference_params)
+        )
 
         # Filter out internal/MCP-related parameters that shouldn't be sent to the API
         # These are LiteLLM internal parameters, not API parameters
@@ -1155,7 +1239,9 @@ class AmazonConverseConfig(BaseConfig):
         # Filter out non-serializable objects (exceptions, callables, logging objects, etc.)
         # from additional_request_params to prevent JSON serialization errors
         # This filters: Exception objects, callable objects (functions), Logging objects, etc.
-        additional_request_params = filter_exceptions_from_params(additional_request_params)
+        additional_request_params = filter_exceptions_from_params(
+            additional_request_params
+        )
 
         return (
             inference_params,
@@ -1202,7 +1288,9 @@ class AmazonConverseConfig(BaseConfig):
         # Only separate tools if computer use tools are actually present
         if filtered_tools and self.is_computer_use_tool_used(filtered_tools, model):
             # Separate computer use tools from regular function tools
-            computer_use_tools, regular_tools = self._separate_computer_use_tools(filtered_tools, model)
+            computer_use_tools, regular_tools = self._separate_computer_use_tools(
+                filtered_tools, model
+            )
 
             # Process regular function tools using existing logic
             bedrock_tools = _bedrock_tools_pt(regular_tools)
@@ -1263,7 +1351,9 @@ class AmazonConverseConfig(BaseConfig):
 
                 anthropic_beta_list.append(computer_use_header)
                 # Transform computer use tools to proper Bedrock format
-                transformed_computer_tools = self._transform_computer_use_tools(computer_use_tools)
+                transformed_computer_tools = self._transform_computer_use_tools(
+                    computer_use_tools
+                )
                 additional_request_params["tools"] = transformed_computer_tools
         else:
             # No computer use tools, process all tools as regular tools
@@ -1292,9 +1382,15 @@ class AmazonConverseConfig(BaseConfig):
         """
         Bedrock doesn't support tool calling without `tools=` param specified.
         """
-        if "tools" not in optional_params and messages is not None and has_tool_call_blocks(messages):
+        if (
+            "tools" not in optional_params
+            and messages is not None
+            and has_tool_call_blocks(messages)
+        ):
             if litellm.modify_params:
-                optional_params["tools"] = add_dummy_tool(custom_llm_provider="bedrock_converse")
+                optional_params["tools"] = add_dummy_tool(
+                    custom_llm_provider="bedrock_converse"
+                )
             else:
                 raise litellm.UnsupportedParamsError(
                     message="Bedrock doesn't support tool calling without `tools=` param specified. Pass `tools=` param OR set `litellm.modify_params = True` // `litellm_settings::modify_params: True` to add dummy tool to the request.",
@@ -1348,7 +1444,9 @@ class AmazonConverseConfig(BaseConfig):
 
         bedrock_tool_config: Optional[ToolConfigBlock] = None
         if len(bedrock_tools) > 0:
-            tool_choice_values: ToolChoiceValuesBlock = inference_params.pop("tool_choice", None)
+            tool_choice_values: ToolChoiceValuesBlock = inference_params.pop(
+                "tool_choice", None
+            )
             bedrock_tool_config = ToolConfigBlock(
                 tools=bedrock_tools,
             )
@@ -1358,7 +1456,9 @@ class AmazonConverseConfig(BaseConfig):
         data: CommonRequestObject = {
             "additionalModelRequestFields": additional_request_params,
             "system": system_content_blocks,
-            "inferenceConfig": self._transform_inference_params(inference_params=inference_params),
+            "inferenceConfig": self._transform_inference_params(
+                inference_params=inference_params
+            ),
         }
 
         # Handle all config blocks
@@ -1388,10 +1488,14 @@ class AmazonConverseConfig(BaseConfig):
         litellm_params: dict,
         headers: Optional[dict] = None,
     ) -> RequestObject:
-        messages, system_content_blocks = self._transform_system_message(messages, model=model)
+        messages, system_content_blocks = self._transform_system_message(
+            messages, model=model
+        )
 
         # Convert last user message to guarded_text if guardrailConfig is present
-        messages = self._convert_consecutive_user_messages_to_guarded_text(messages, optional_params)
+        messages = self._convert_consecutive_user_messages_to_guarded_text(
+            messages, optional_params
+        )
         ## TRANSFORMATION ##
 
         _data: CommonRequestObject = self._transform_request_helper(
@@ -1402,11 +1506,13 @@ class AmazonConverseConfig(BaseConfig):
             headers=headers,
         )
 
-        bedrock_messages = await BedrockConverseMessagesProcessor._bedrock_converse_messages_pt_async(
-            messages=messages,
-            model=model,
-            llm_provider="bedrock_converse",
-            user_continue_message=litellm_params.pop("user_continue_message", None),
+        bedrock_messages = (
+            await BedrockConverseMessagesProcessor._bedrock_converse_messages_pt_async(
+                messages=messages,
+                model=model,
+                llm_provider="bedrock_converse",
+                user_continue_message=litellm_params.pop("user_continue_message", None),
+            )
         )
 
         data: RequestObject = {"messages": bedrock_messages, **_data}
@@ -1440,10 +1546,14 @@ class AmazonConverseConfig(BaseConfig):
         litellm_params: dict,
         headers: Optional[dict] = None,
     ) -> RequestObject:
-        messages, system_content_blocks = self._transform_system_message(messages, model=model)
+        messages, system_content_blocks = self._transform_system_message(
+            messages, model=model
+        )
 
         # Convert last user message to guarded_text if guardrailConfig is present
-        messages = self._convert_consecutive_user_messages_to_guarded_text(messages, optional_params)
+        messages = self._convert_consecutive_user_messages_to_guarded_text(
+            messages, optional_params
+        )
 
         _data: CommonRequestObject = self._transform_request_helper(
             model=model,
@@ -1492,7 +1602,9 @@ class AmazonConverseConfig(BaseConfig):
             encoding=encoding,
         )
 
-    def _transform_reasoning_content(self, reasoning_content_blocks: List[BedrockConverseReasoningContentBlock]) -> str:
+    def _transform_reasoning_content(
+        self, reasoning_content_blocks: List[BedrockConverseReasoningContentBlock]
+    ) -> str:
         """
         Extract the reasoning text from the reasoning content blocks
 
@@ -1508,7 +1620,9 @@ class AmazonConverseConfig(BaseConfig):
         self, thinking_blocks: List[BedrockConverseReasoningContentBlock]
     ) -> List[Union[ChatCompletionThinkingBlock, ChatCompletionRedactedThinkingBlock]]:
         """Return a consistent format for thinking blocks between Anthropic and Bedrock."""
-        thinking_blocks_list: List[Union[ChatCompletionThinkingBlock, ChatCompletionRedactedThinkingBlock]] = []
+        thinking_blocks_list: List[
+            Union[ChatCompletionThinkingBlock, ChatCompletionRedactedThinkingBlock]
+        ] = []
         for block in thinking_blocks:
             if "reasoningText" in block:
                 _thinking_block = ChatCompletionThinkingBlock(type="thinking")
@@ -1544,11 +1658,21 @@ class AmazonConverseConfig(BaseConfig):
             cache_creation_input_tokens = usage["cacheWriteInputTokens"]
             input_tokens += cache_creation_input_tokens
 
-        prompt_tokens_details = PromptTokensDetailsWrapper(cached_tokens=cache_read_input_tokens)
-        reasoning_tokens = token_counter(text=reasoning_content, count_response_tokens=True) if reasoning_content else 0
+        prompt_tokens_details = PromptTokensDetailsWrapper(
+            cached_tokens=cache_read_input_tokens
+        )
+        reasoning_tokens = (
+            token_counter(text=reasoning_content, count_response_tokens=True)
+            if reasoning_content
+            else 0
+        )
         completion_tokens_details = CompletionTokensDetailsWrapper(
             reasoning_tokens=reasoning_tokens,
-            text_tokens=(output_tokens - reasoning_tokens if reasoning_tokens > 0 else output_tokens),
+            text_tokens=(
+                output_tokens - reasoning_tokens
+                if reasoning_tokens > 0
+                else output_tokens
+            ),
         )
         openai_usage = Usage(
             prompt_tokens=input_tokens,
@@ -1563,7 +1687,9 @@ class AmazonConverseConfig(BaseConfig):
 
     def get_tool_call_names(
         self,
-        tools: Optional[Union[List[ToolBlock], List[OpenAIChatCompletionToolParam]]] = None,
+        tools: Optional[
+            Union[List[ToolBlock], List[OpenAIChatCompletionToolParam]]
+        ] = None,
     ) -> List[str]:
         if tools is None:
             return []
@@ -1602,8 +1728,13 @@ class AmazonConverseConfig(BaseConfig):
             try:
                 tool_call_names = self.get_tool_call_names(tools)
                 json_content = json.loads(message.content)
-                if json_content.get("type") == "function" and json_content.get("name") in tool_call_names:
-                    tool_calls = [ChatCompletionMessageToolCall(function=Function(**json_content))]
+                if (
+                    json_content.get("type") == "function"
+                    and json_content.get("name") in tool_call_names
+                ):
+                    tool_calls = [
+                        ChatCompletionMessageToolCall(function=Function(**json_content))
+                    ]
 
                     message.tool_calls = tool_calls
                     message.content = None
@@ -1632,7 +1763,9 @@ class AmazonConverseConfig(BaseConfig):
         """
         content_str = ""
         tools: List[ChatCompletionToolCallChunk] = []
-        reasoningContentBlocks: Optional[List[BedrockConverseReasoningContentBlock]] = None
+        reasoningContentBlocks: Optional[
+            List[BedrockConverseReasoningContentBlock]
+        ] = None
         citationsContentBlocks: Optional[List[CitationsContentBlock]] = None
         for idx, content in enumerate(content_blocks):
             """
@@ -1649,7 +1782,9 @@ class AmazonConverseConfig(BaseConfig):
             if "toolUse" in content:
                 ## check tool name was formatted by litellm
                 _response_tool_name = content["toolUse"]["name"]
-                response_tool_name = get_bedrock_tool_name(response_tool_name=_response_tool_name)
+                response_tool_name = get_bedrock_tool_name(
+                    response_tool_name=_response_tool_name
+                )
                 _function_chunk = ChatCompletionToolCallFunctionChunk(
                     name=response_tool_name,
                     arguments=json.dumps(content["toolUse"]["input"]),
@@ -1700,7 +1835,11 @@ class AmazonConverseConfig(BaseConfig):
         """
         try:
             response_data = json.loads(json_str)
-            if isinstance(response_data, dict) and "properties" in response_data and len(response_data) == 1:
+            if (
+                isinstance(response_data, dict)
+                and "properties" in response_data
+                and len(response_data) == 1
+            ):
                 response_data = response_data["properties"]
                 return json.dumps(response_data)
         except json.JSONDecodeError:
@@ -1724,7 +1863,11 @@ class AmazonConverseConfig(BaseConfig):
         if not json_mode or not tools:
             return tools if tools else None
 
-        json_tool_indices = [i for i, t in enumerate(tools) if t["function"].get("name") == RESPONSE_FORMAT_TOOL_NAME]
+        json_tool_indices = [
+            i
+            for i, t in enumerate(tools)
+            if t["function"].get("name") == RESPONSE_FORMAT_TOOL_NAME
+        ]
 
         if not json_tool_indices:
             # No json_tool_call found, return tools unchanged
@@ -1732,10 +1875,14 @@ class AmazonConverseConfig(BaseConfig):
 
         if len(json_tool_indices) == len(tools):
             # All tools are json_tool_call — convert first one to content
-            verbose_logger.debug("Processing JSON tool call response for response_format")
+            verbose_logger.debug(
+                "Processing JSON tool call response for response_format"
+            )
             json_mode_content_str: Optional[str] = tools[0]["function"].get("arguments")
             if json_mode_content_str is not None:
-                json_mode_content_str = AmazonConverseConfig._unwrap_bedrock_properties(json_mode_content_str)
+                json_mode_content_str = AmazonConverseConfig._unwrap_bedrock_properties(
+                    json_mode_content_str
+                )
                 chat_completion_message["content"] = json_mode_content_str
             return None
 
@@ -1745,9 +1892,13 @@ class AmazonConverseConfig(BaseConfig):
         first_idx = json_tool_indices[0]
         json_mode_args = tools[first_idx]["function"].get("arguments")
         if json_mode_args is not None:
-            json_mode_args = AmazonConverseConfig._unwrap_bedrock_properties(json_mode_args)
+            json_mode_args = AmazonConverseConfig._unwrap_bedrock_properties(
+                json_mode_args
+            )
             existing = chat_completion_message.get("content") or ""
-            chat_completion_message["content"] = existing + json_mode_args if existing else json_mode_args
+            chat_completion_message["content"] = (
+                existing + json_mode_args if existing else json_mode_args
+            )
 
         real_tools = [t for i, t in enumerate(tools) if i not in json_tool_indices]
         return real_tools if real_tools else None
@@ -1825,7 +1976,9 @@ class AmazonConverseConfig(BaseConfig):
         chat_completion_message: ChatCompletionResponseMessage = {"role": "assistant"}
         content_str = ""
         tools: List[ChatCompletionToolCallChunk] = []
-        reasoningContentBlocks: Optional[List[BedrockConverseReasoningContentBlock]] = None
+        reasoningContentBlocks: Optional[
+            List[BedrockConverseReasoningContentBlock]
+        ] = None
         citationsContentBlocks: Optional[List[CitationsContentBlock]] = None
 
         if message is not None:
@@ -1844,11 +1997,17 @@ class AmazonConverseConfig(BaseConfig):
             provider_specific_fields["citationsContent"] = citationsContentBlocks
 
         if provider_specific_fields:
-            chat_completion_message["provider_specific_fields"] = provider_specific_fields
+            chat_completion_message[
+                "provider_specific_fields"
+            ] = provider_specific_fields
 
         if reasoningContentBlocks is not None:
-            chat_completion_message["reasoning_content"] = self._transform_reasoning_content(reasoningContentBlocks)
-            chat_completion_message["thinking_blocks"] = self._transform_thinking_blocks(reasoningContentBlocks)
+            chat_completion_message[
+                "reasoning_content"
+            ] = self._transform_reasoning_content(reasoningContentBlocks)
+            chat_completion_message[
+                "thinking_blocks"
+            ] = self._transform_thinking_blocks(reasoningContentBlocks)
         chat_completion_message["content"] = content_str
         filtered_tools = self._filter_json_mode_tools(
             json_mode=json_mode,
diff --git a/litellm/llms/openai/chat/guardrail_translation/handler.py b/litellm/llms/openai/chat/guardrail_translation/handler.py
index 0ce9d57a65f..f854cdb13d0 100644
--- a/litellm/llms/openai/chat/guardrail_translation/handler.py
+++ b/litellm/llms/openai/chat/guardrail_translation/handler.py
@@ -86,9 +86,9 @@ class OpenAIChatCompletionsHandler(BaseTranslation):
             if tool_calls_to_check:
                 inputs["tool_calls"] = tool_calls_to_check  # type: ignore
             if messages:
-                inputs["structured_messages"] = (
-                    messages  # pass the openai /chat/completions messages to the guardrail, as-is
-                )
+                inputs[
+                    "structured_messages"
+                ] = messages  # pass the openai /chat/completions messages to the guardrail, as-is
             # Pass tools (function definitions) to the guardrail
             tools = data.get("tools")
             if tools:
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 0efc3dab638..c00a351bdd8 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -3078,10 +3078,7 @@ async def _team_max_budget_check(
         BudgetExceededError if the team is over it's max budget.
         Triggers a budget alert if the team is over it's max budget.
     """
-    if (
-        team_object is not None
-        and team_object.max_budget is not None
-    ):
+    if team_object is not None and team_object.max_budget is not None:
         from litellm.proxy.proxy_server import get_current_spend
 
         # Read spend from cross-pod counter (Redis-first) or cached object (fallback)
diff --git a/litellm/proxy/auth/handle_jwt.py b/litellm/proxy/auth/handle_jwt.py
index dc01703c6bd..6ad372f3b5a 100644
--- a/litellm/proxy/auth/handle_jwt.py
+++ b/litellm/proxy/auth/handle_jwt.py
@@ -621,9 +621,7 @@ class JWTHandler:
             )
 
         # Check cache first
-        cache_key = (
-            f"oidc_userinfo_{hashlib.sha256(token.encode()).hexdigest()}"
-        )
+        cache_key = f"oidc_userinfo_{hashlib.sha256(token.encode()).hexdigest()}"
         cached_userinfo = await self.user_api_key_cache.async_get_cache(cache_key)
 
         if cached_userinfo is not None:
diff --git a/litellm/proxy/common_utils/reset_budget_job.py b/litellm/proxy/common_utils/reset_budget_job.py
index 5db919659ed..bcfaed24398 100644
--- a/litellm/proxy/common_utils/reset_budget_job.py
+++ b/litellm/proxy/common_utils/reset_budget_job.py
@@ -66,10 +66,8 @@ class ResetBudgetJob:
         try:
             from litellm.proxy.proxy_server import spend_counter_cache
 
-            memberships = (
-                await self.prisma_client.db.litellm_teammembership.find_many(
-                    where={"budget_id": {"in": budget_ids}}
-                )
+            memberships = await self.prisma_client.db.litellm_teammembership.find_many(
+                where={"budget_id": {"in": budget_ids}}
             )
             for m in memberships:
                 counter_key = f"spend:team_member:{m.user_id}:{m.team_id}"
@@ -574,7 +572,11 @@ class ResetBudgetJob:
             counter_key = None
             if item_type == "key" and hasattr(item, "token") and item.token is not None:
                 counter_key = f"spend:key:{item.token}"
-            elif item_type == "team" and hasattr(item, "team_id") and item.team_id is not None:
+            elif (
+                item_type == "team"
+                and hasattr(item, "team_id")
+                and item.team_id is not None
+            ):
                 counter_key = f"spend:team:{item.team_id}"
 
             if counter_key is not None:
diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py
index e885f3e4613..646779e6f81 100644
--- a/litellm/proxy/management_endpoints/internal_user_endpoints.py
+++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py
@@ -707,7 +707,7 @@ def _build_user_info_response(
     response_model=UserInfoResponse,
 )
 @management_endpoint_wrapper
-async def user_info(
+async def user_info(  # noqa: PLR0915
     request: Request,
     user_id: Optional[str] = fastapi.Query(
         default=None, description="User ID in the request parameters"
diff --git a/litellm/proxy/management_endpoints/ui_sso.py b/litellm/proxy/management_endpoints/ui_sso.py
index a5a62813b9f..0bfe8eb75bc 100644
--- a/litellm/proxy/management_endpoints/ui_sso.py
+++ b/litellm/proxy/management_endpoints/ui_sso.py
@@ -827,7 +827,9 @@ async def get_generic_sso_response(
     ],  # sso specific jwt handler - used for restricted sso group access control
     generic_client_id: str,
     redirect_url: str,
-) -> Tuple[Union[OpenID, dict], Optional[dict], Optional[dict]]:  # (result, received_response, access_token_payload)
+) -> Tuple[
+    Union[OpenID, dict], Optional[dict], Optional[dict]
+]:  # (result, received_response, access_token_payload)
     # make generic sso provider
     from fastapi_sso.sso.base import DiscoveryDocument
     from fastapi_sso.sso.generic import create_provider
@@ -1369,7 +1371,11 @@ async def auth_callback(request: Request, state: Optional[str] = None):  # noqa:
         )
 
     elif generic_client_id is not None:
-        result, received_response, access_token_payload = await get_generic_sso_response(
+        (
+            result,
+            received_response,
+            access_token_payload,
+        ) = await get_generic_sso_response(
             request=request,
             jwt_handler=jwt_handler,
             generic_client_id=generic_client_id,
diff --git a/litellm/proxy/management_helpers/audit_logs.py b/litellm/proxy/management_helpers/audit_logs.py
index b9020222f1f..7599e11bdef 100644
--- a/litellm/proxy/management_helpers/audit_logs.py
+++ b/litellm/proxy/management_helpers/audit_logs.py
@@ -51,7 +51,11 @@ def _build_audit_log_payload(
     if request_data.updated_at is not None:
         updated_at = request_data.updated_at.isoformat()
 
-    table_name_str: str = request_data.table_name.value if isinstance(request_data.table_name, LitellmTableNames) else str(request_data.table_name)
+    table_name_str: str = (
+        request_data.table_name.value
+        if isinstance(request_data.table_name, LitellmTableNames)
+        else str(request_data.table_name)
+    )
 
     return StandardAuditLogPayload(
         id=request_data.id,
@@ -89,7 +93,9 @@ async def _dispatch_audit_log_to_callbacks(
 
     for callback in litellm.audit_log_callbacks:
         try:
-            resolved: Optional[CustomLogger] = callback if isinstance(callback, CustomLogger) else None
+            resolved: Optional[CustomLogger] = (
+                callback if isinstance(callback, CustomLogger) else None
+            )
             if isinstance(callback, str):
                 resolved = _resolve_audit_log_callback(callback)
                 if resolved is None:
@@ -138,9 +144,7 @@ async def create_object_audit_log(
         return
 
     _changed_by = (
-        litellm_changed_by
-        or user_api_key_dict.user_id
-        or litellm_proxy_admin_name
+        litellm_changed_by or user_api_key_dict.user_id or litellm_proxy_admin_name
     )
 
     await create_audit_log_for_update(
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 05046e2b14f..9b9ed791fdf 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -873,12 +873,14 @@ async def proxy_startup_event(app: FastAPI):  # noqa: PLR0915
         )
 
     if prisma_client is not None:
+
         async def _run_pw_migration():
             try:
                 result = await migrate_passwords_to_scrypt_async(prisma_client)
                 verbose_proxy_logger.info(f"Password migration: {result}")
             except Exception as e:
                 verbose_proxy_logger.warning(f"Password migration skipped: {e}")
+
         asyncio.create_task(_run_pw_migration())
 
     ProxyStartupEvent._initialize_startup_logging(
@@ -1725,9 +1727,7 @@ async def get_current_spend(counter_key: str, fallback_spend: float) -> float:
     # 1. Try Redis first (cross-pod authoritative)
     if spend_counter_cache.redis_cache is not None:
         try:
-            val = await spend_counter_cache.redis_cache.async_get_cache(
-                key=counter_key
-            )
+            val = await spend_counter_cache.redis_cache.async_get_cache(key=counter_key)
             if val is not None:
                 return float(val)
         except Exception as e:
@@ -1831,9 +1831,7 @@ async def _init_and_increment_spend_counter(
                 key=counter_key, value=base_spend
             )
 
-    await spend_counter_cache.async_increment_cache(
-        key=counter_key, value=increment
-    )
+    await spend_counter_cache.async_increment_cache(key=counter_key, value=increment)
 
 
 async def update_cache(  # noqa: PLR0915
@@ -12156,7 +12154,10 @@ async def invitation_delete(
     dependencies=[Depends(user_api_key_auth)],
     include_in_schema=False,
 )
-async def update_config(config_info: ConfigYAML, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth)):  # noqa: PLR0915
+async def update_config(  # noqa: PLR0915
+    config_info: ConfigYAML,
+    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+):
     """
     For Admin UI - allows admin to update config via UI
 
@@ -12165,7 +12166,9 @@ async def update_config(config_info: ConfigYAML, user_api_key_dict: UserAPIKeyAu
     global llm_router, llm_model_list, general_settings, proxy_config, proxy_logging_obj, master_key, prisma_client
     try:
         if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN:
-            raise HTTPException(status_code=403, detail="Only proxy admins can update config")
+            raise HTTPException(
+                status_code=403, detail="Only proxy admins can update config"
+            )
         import base64
 
         """
diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 95f6db93e2e..2e24468cefd 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -4575,7 +4575,9 @@ def verify_password(password: str, stored: str) -> bool:
         try:
             raw = base64.b64decode(stored[7:])
             salt, dk = raw[:16], raw[16:]
-            dk2 = hashlib.scrypt(password.encode(), salt=salt, n=16384, r=8, p=1, dklen=32)
+            dk2 = hashlib.scrypt(
+                password.encode(), salt=salt, n=16384, r=8, p=1, dklen=32
+            )
             return secrets.compare_digest(dk, dk2)
         except Exception:
             return False
@@ -4596,12 +4598,16 @@ async def migrate_passwords_to_scrypt_async(prisma_client) -> str:
     all_with_pw = await prisma_client.db.litellm_usertable.find_many(
         where={"password": {"not": None}},
     )
+
     def _is_sha256_hex(s: str) -> bool:
         return len(s) == 64 and all(c in "0123456789abcdef" for c in s)
 
     plaintext_users = [
-        u for u in all_with_pw
-        if u.password and not u.password.startswith("scrypt:") and not _is_sha256_hex(u.password)
+        u
+        for u in all_with_pw
+        if u.password
+        and not u.password.startswith("scrypt:")
+        and not _is_sha256_hex(u.password)
     ]
     if not plaintext_users:
         return "No plaintext passwords found"

From d47faaad0f99b634c70e220b9592f3acbba23a0f Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Tue, 31 Mar 2026 08:45:50 -0700
Subject: [PATCH 097/115] docs: update security update, with new release
 information

---
 .../blog/security_update_march_2026/index.md           | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/docs/my-website/blog/security_update_march_2026/index.md b/docs/my-website/blog/security_update_march_2026/index.md
index 93ae7daac3a..fc5ccbfb54d 100644
--- a/docs/my-website/blog/security_update_march_2026/index.md
+++ b/docs/my-website/blog/security_update_march_2026/index.md
@@ -17,6 +17,10 @@ import VersionVerificationTable from '@site/src/components/VersionVerificationTa
 > **Status:** Active investigation
 > **Last updated:** March 27, 2026
 
+> **Update (March 30):** A new **safe** version of LiteLLM is now available (v1.83.0). This was released by our new [CI/CD v2](https://docs.litellm.ai/blog/ci-cd-v2-improvements) pipeline which added isolated environments, stronger security gates, and safer release separation for LiteLLM.
+
+> **Update (March 27):** Review Townhall updates, including explanation of the incident, what we've done, and what comes next. [Learn more](https://docs.litellm.ai/blog/security-townhall-updates)
+
 > **Update (March 27):** Added [Verified safe versions](#verified-safe-versions) section with SHA-256 checksums for all audited PyPI and Docker releases.
 
 > **Update (March 26):** Added `checkmarx[.]zone` to [Indicators of compromise](#indicators-of-compromise-iocs)
@@ -25,10 +29,10 @@ import VersionVerificationTable from '@site/src/components/VersionVerificationTa
 
 
 ## TLDR; 
-- The compromised PyPI packages were **litellm==1.82.7** and **litellm==1.82.8**. Those packages have now been removed from PyPI.
-- We believe that the compromise originated from the Trivy dependency used in our CI/CD security scanning workflow.
+- The compromised PyPI packages were **litellm==1.82.7** and **litellm==1.82.8**. Those packages were live on March 24, 2026 from 10:39 UTC for about 40 minutes before being quarantined by PyPI.
+- We believe that the compromise originated from the [Trivy dependency](https://www.aquasec.com/blog/trivy-supply-chain-attack-what-you-need-to-know/) used in our CI/CD security scanning workflow.
 - Customers running the official LiteLLM Proxy Docker image were not impacted. That deployment path pins dependencies in requirements.txt and does not rely on the compromised PyPI packages.
-- We are pausing new LiteLLM releases until we complete a broader supply-chain review and confirm the release path is safe.
+- ~~We have paused all new LiteLLM releases until we complete a broader supply-chain review and confirm the release path is safe.~~ **Updated:** We have now released a new **safe** version of LiteLLM (v1.83.0) by our new [CI/CD v2](https://docs.litellm.ai/blog/ci-cd-v2-improvements) pipeline which added isolated environments, stronger security gates, and safer release separation for LiteLLM. We have also verified the codebase is safe and no malicious code was pushed to `main`.
 
 
 ## Overview

From 50a52f62e3ad8c903068fdd580b98eb7adc30918 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Tue, 31 Mar 2026 08:46:12 -0700
Subject: [PATCH 098/115] fix: fix wording

---
 docs/my-website/blog/security_update_march_2026/index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/my-website/blog/security_update_march_2026/index.md b/docs/my-website/blog/security_update_march_2026/index.md
index fc5ccbfb54d..1c298fe372f 100644
--- a/docs/my-website/blog/security_update_march_2026/index.md
+++ b/docs/my-website/blog/security_update_march_2026/index.md
@@ -17,7 +17,7 @@ import VersionVerificationTable from '@site/src/components/VersionVerificationTa
 > **Status:** Active investigation
 > **Last updated:** March 27, 2026
 
-> **Update (March 30):** A new **safe** version of LiteLLM is now available (v1.83.0). This was released by our new [CI/CD v2](https://docs.litellm.ai/blog/ci-cd-v2-improvements) pipeline which added isolated environments, stronger security gates, and safer release separation for LiteLLM.
+> **Update (March 30):** A new **clean** version of LiteLLM is now available (v1.83.0). This was released by our new [CI/CD v2](https://docs.litellm.ai/blog/ci-cd-v2-improvements) pipeline which added isolated environments, stronger security gates, and safer release separation for LiteLLM.
 
 > **Update (March 27):** Review Townhall updates, including explanation of the incident, what we've done, and what comes next. [Learn more](https://docs.litellm.ai/blog/security-townhall-updates)
 

From 5435858965d98047adc23a126f95ec6b45fd4ea3 Mon Sep 17 00:00:00 2001
From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com>
Date: Tue, 31 Mar 2026 10:23:31 -0700
Subject: [PATCH 099/115] Update security.md

---
 security.md | 44 +++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 39 insertions(+), 5 deletions(-)

diff --git a/security.md b/security.md
index 2da073661c5..0788e2beb38 100644
--- a/security.md
+++ b/security.md
@@ -1,5 +1,44 @@
 # Data Privacy and Security
 
+## Security Vulnerability Reporting Guidelines
+
+We value the security community's role in protecting our systems and users. To report a security vulnerability:
+
+- Email support@berri.ai with details
+- Include steps to reproduce the issue
+- Provide any relevant additional information
+
+We'll review all reports promptly.
+
+#### Vulnerability Categories
+
+We classify vulnerabilities into the following categories:
+
+**P0: Supply Chain Attacks**
+
+Attacks that compromise our CI/CD pipeline, allowing a malicious actor to point our PyPI package or Docker images (GHCR or Docker Hub) to vulnerable or tampered artifacts.
+
+**P1: Unauthenticated Proxy Access**
+
+Application-level attacks where an unauthenticated user is able to gain access to a LiteLLM proxy instance that should be protected.
+
+**P2: Authenticated Malicious Actions**
+
+Application-level attacks where an authenticated user is able to perform actions beyond their intended permissions, such as privilege escalation or unauthorized data access.
+
+#### Bug Bounty Program
+
+We offer bounties for responsibly disclosed vulnerabilities based on severity:
+
+| Severity | Bounty Range | Example |
+|----------|-------------|---------|
+| **Critical** | $1,500 - $3,000 | P0 supply chain compromise |
+| **High** | $500 - $1,500 | P1 unauthenticated proxy access |
+| **Medium** | $250 - $500 | P2 authenticated privilege escalation |
+| **Low** | $50 - $250 | Minor information disclosure, low-impact misconfigurations |
+
+To qualify for a bounty, reports must include clear reproduction steps and must not involve systems or accounts you do not own. We review all submissions promptly and will follow up within 5 business days.
+
 ## Security Measures
 
 ### LiteLLM Github
@@ -12,11 +51,6 @@
 - For installation and configuration, see: [Self-hosting guided](https://docs.litellm.ai/docs/proxy/deploy)
 - **Telemetry** We run no telemetry when you self host LiteLLM
 
-
-:::info
-✨ SSO is free for up to 5 users. After that, an enterprise license is required. [Get Started with Enterprise here](https://www.litellm.ai/enterprise)
-:::
-
 ### LiteLLM Cloud
 
 - We encrypt all data stored using your `LITELLM_MASTER_KEY` and in transit using TLS.

From 1110a206aeb1c1b8268d5facc448f95c53747f27 Mon Sep 17 00:00:00 2001
From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com>
Date: Tue, 31 Mar 2026 10:27:13 -0700
Subject: [PATCH 100/115] Update security.md

---
 security.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/security.md b/security.md
index 0788e2beb38..944d086f5f3 100644
--- a/security.md
+++ b/security.md
@@ -22,9 +22,6 @@ Attacks that compromise our CI/CD pipeline, allowing a malicious actor to point
 
 Application-level attacks where an unauthenticated user is able to gain access to a LiteLLM proxy instance that should be protected.
 
-**P2: Authenticated Malicious Actions**
-
-Application-level attacks where an authenticated user is able to perform actions beyond their intended permissions, such as privilege escalation or unauthorized data access.
 
 #### Bug Bounty Program
 

From 7046a58885eb75be51fb752068663f9a9790d280 Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrish+github@berri.ai>
Date: Tue, 31 Mar 2026 11:30:19 -0700
Subject: [PATCH 101/115] docs: tell people to report security issues on github
 - easier tracking

---
 security.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/security.md b/security.md
index 944d086f5f3..76743b3af3d 100644
--- a/security.md
+++ b/security.md
@@ -73,7 +73,7 @@ All data, user accounts, and infrastructure are completely separated between the
 
 We value the security community's role in protecting our systems and users. To report a security vulnerability:
 
-- Email support@berri.ai with details
+- File a private vulnerability report on GitHub: [Report a vulnerability](https://github.com/BerriAI/litellm/security/advisories/new)
 - Include steps to reproduce the issue
 - Provide any relevant additional information
 

From 4b5ca49cd2218699897dfff396171b04d85d9b45 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Tue, 31 Mar 2026 12:59:01 -0700
Subject: [PATCH 102/115] fix: map file_url -> file_id in
 Responses->Completions translation

---
 .../transformation.py                         |  26 +-
 .../test_litellm_completion_responses.py      | 556 ++++++++++--------
 2 files changed, 339 insertions(+), 243 deletions(-)

diff --git a/litellm/responses/litellm_completion_transformation/transformation.py b/litellm/responses/litellm_completion_transformation/transformation.py
index b6479a36998..9075373f1cf 100644
--- a/litellm/responses/litellm_completion_transformation/transformation.py
+++ b/litellm/responses/litellm_completion_transformation/transformation.py
@@ -1202,22 +1202,32 @@ class LiteLLMCompletionResponsesConfig:
 
         return [chat_completion_response_message]
 
+    @staticmethod
+    def _resolve_file_id(item: Dict[str, Any]) -> Optional[str]:
+        """
+        Return the effective file_id for a Responses API input_file item.
+        Explicit file_id takes precedence; file_url is used as fallback so
+        downstream providers (Anthropic, Gemini) can handle the URL natively.
+        """
+        return item.get("file_id") or item.get("file_url") or None
+
     @staticmethod
     def _transform_input_file_item_to_file_item(item: Dict[str, Any]) -> Dict[str, Any]:
         """
         Transform a Responses API input_file item to a Chat Completion file item
 
         Args:
-            item: Dictionary containing input_file type with file_id and/or file_data
+            item: Dictionary containing input_file type with file_id, file_data, and/or file_url
 
         Returns:
             Dictionary with transformed file structure for Chat Completion
         """
         file_dict: Dict[str, Any] = {}
-        keys = ["file_id", "file_data"]
-        for key in keys:
-            if item.get(key):
-                file_dict[key] = item.get(key)
+        file_id = LiteLLMCompletionResponsesConfig._resolve_file_id(item)
+        if file_id:
+            file_dict["file_id"] = file_id
+        if item.get("file_data"):
+            file_dict["file_data"] = item["file_data"]
 
         new_item: Dict[str, Any] = {"type": "file", "file": file_dict}
         return new_item
@@ -2113,9 +2123,9 @@ class LiteLLMCompletionResponsesConfig:
                 hasattr(completion_details, "reasoning_tokens")
                 and completion_details.reasoning_tokens is not None
             ):
-                output_details_dict[
-                    "reasoning_tokens"
-                ] = completion_details.reasoning_tokens
+                output_details_dict["reasoning_tokens"] = (
+                    completion_details.reasoning_tokens
+                )
             else:
                 output_details_dict["reasoning_tokens"] = 0
 
diff --git a/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py b/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
index aaa131c23dc..4e44ef9e50c 100644
--- a/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
+++ b/tests/test_litellm/responses/litellm_completion_transformation/test_litellm_completion_responses.py
@@ -6,20 +6,20 @@ sys.path.insert(
 )  # Adds the parent directory to the system path
 
 from litellm.responses.litellm_completion_transformation.transformation import (
-    LiteLLMCompletionResponsesConfig,
     TOOL_CALLS_CACHE,
+    LiteLLMCompletionResponsesConfig,
 )
 from litellm.types.llms.openai import (
     ChatCompletionResponseMessage,
     ChatCompletionToolMessage,
 )
 from litellm.types.utils import (
+    ChatCompletionMessageToolCall,
     Choices,
     CompletionTokensDetailsWrapper,
+    Function,
     Message,
     ModelResponse,
-    Function,
-    ChatCompletionMessageToolCall,
     PromptTokensDetailsWrapper,
     Usage,
 )
@@ -130,6 +130,31 @@ class TestLiteLLMCompletionResponsesConfig:
         assert "extra_field" not in result["file"]
         assert "another_field" not in result["file"]
 
+    def test_transform_input_file_item_to_file_item_with_file_url(self):
+        """file_url should be mapped to file_id for downstream URL handling"""
+        result = (
+            LiteLLMCompletionResponsesConfig._transform_input_file_item_to_file_item(
+                {"type": "input_file", "file_url": "https://example.com/doc.pdf"}
+            )
+        )
+        assert result == {
+            "type": "file",
+            "file": {"file_id": "https://example.com/doc.pdf"},
+        }
+
+    def test_transform_input_file_item_file_id_takes_precedence_over_file_url(self):
+        """explicit file_id should not be overwritten by file_url"""
+        result = (
+            LiteLLMCompletionResponsesConfig._transform_input_file_item_to_file_item(
+                {
+                    "type": "input_file",
+                    "file_id": "file-abc123",
+                    "file_url": "https://example.com/doc.pdf",
+                }
+            )
+        )
+        assert result == {"type": "file", "file": {"file_id": "file-abc123"}}
+
     def test_transform_input_image_item_to_image_item_with_image_url(self):
         """Test transformation of input_image item with image_url to Chat Completion image format"""
         # Setup
@@ -144,7 +169,10 @@ class TestLiteLLMCompletionResponsesConfig:
         )
 
         # Assert
-        expected = {"type": "image_url", "image_url": {"url": image_url, "detail": "high"}}
+        expected = {
+            "type": "image_url",
+            "image_url": {"url": image_url, "detail": "high"},
+        }
         assert result == expected
         assert result["type"] == "image_url"
         assert result["image_url"]["url"] == image_url
@@ -164,7 +192,10 @@ class TestLiteLLMCompletionResponsesConfig:
         )
 
         # Assert
-        expected = {"type": "image_url", "image_url": {"url": image_url, "detail": "high"}}
+        expected = {
+            "type": "image_url",
+            "image_url": {"url": image_url, "detail": "high"},
+        }
         assert result == expected
         assert result["type"] == "image_url"
         assert result["image_url"]["url"] == image_url
@@ -184,7 +215,10 @@ class TestLiteLLMCompletionResponsesConfig:
         )
 
         # Assert
-        expected = {"type": "image_url", "image_url": {"url": image_url, "detail": "auto"}}
+        expected = {
+            "type": "image_url",
+            "image_url": {"url": image_url, "detail": "auto"},
+        }
         assert result == expected
         assert result["type"] == "image_url"
         assert result["image_url"]["url"] == image_url
@@ -227,7 +261,10 @@ class TestLiteLLMCompletionResponsesConfig:
         )
 
         # Assert
-        expected = {"type": "image_url", "image_url": {"url": "https://example.com/image.png", "detail": "auto"}}
+        expected = {
+            "type": "image_url",
+            "image_url": {"url": "https://example.com/image.png", "detail": "auto"},
+        }
         assert result == expected
         assert result["type"] == "image_url"
         assert result["image_url"]["url"] == "https://example.com/image.png"
@@ -265,9 +302,7 @@ class TestLiteLLMCompletionResponsesConfig:
 
         # Assert
         assert hasattr(responses_api_response, "output")
-        assert (
-            len(responses_api_response.output) >= 2
-        )
+        assert len(responses_api_response.output) >= 2
 
         reasoning_items = [
             item for item in responses_api_response.output if item.type == "reasoning"
@@ -277,8 +312,10 @@ class TestLiteLLMCompletionResponsesConfig:
         reasoning_item = reasoning_items[0]
         # Note: ID auto-generation was disabled, so reasoning items may not have IDs
         # Only assert ID format if an ID is present
-        if hasattr(reasoning_item, 'id') and reasoning_item.id:
-            assert reasoning_item.id.startswith("rs_"), f"Expected ID to start with 'rs_', got: {reasoning_item.id}"
+        if hasattr(reasoning_item, "id") and reasoning_item.id:
+            assert reasoning_item.id.startswith(
+                "rs_"
+            ), f"Expected ID to start with 'rs_', got: {reasoning_item.id}"
         assert reasoning_item.status == "completed"
         assert reasoning_item.role == "assistant"
         assert len(reasoning_item.content) == 1
@@ -386,7 +423,7 @@ class TestLiteLLMCompletionResponsesConfig:
         """
         Test that transforming a chat completion response with 'stop' finish_reason
         results in 'completed' status in the responses API response.
-        
+
         This is the main test case for GitHub issue #15714.
         """
         chat_completion_response = ModelResponse(
@@ -406,12 +443,10 @@ class TestLiteLLMCompletionResponsesConfig:
             ],
         )
 
-        responses_api_response = (
-            LiteLLMCompletionResponsesConfig.transform_chat_completion_response_to_responses_api_response(
-                request_input="this is a test",
-                responses_api_request={},
-                chat_completion_response=chat_completion_response,
-            )
+        responses_api_response = LiteLLMCompletionResponsesConfig.transform_chat_completion_response_to_responses_api_response(
+            request_input="this is a test",
+            responses_api_request={},
+            chat_completion_response=chat_completion_response,
         )
 
         assert responses_api_response.status == "completed"
@@ -427,7 +462,7 @@ class TestLiteLLMCompletionResponsesConfig:
     def test_transform_chat_completion_response_output_item_status(self):
         """
         Test that output items in the transformed response also have valid status values.
-        
+
         This verifies the fix for GitHub issue #15714.
         """
         chat_completion_response = ModelResponse(
@@ -447,12 +482,10 @@ class TestLiteLLMCompletionResponsesConfig:
             ],
         )
 
-        responses_api_response = (
-            LiteLLMCompletionResponsesConfig.transform_chat_completion_response_to_responses_api_response(
-                request_input="this is a test",
-                responses_api_request={},
-                chat_completion_response=chat_completion_response,
-            )
+        responses_api_response = LiteLLMCompletionResponsesConfig.transform_chat_completion_response_to_responses_api_response(
+            request_input="this is a test",
+            responses_api_request={},
+            chat_completion_response=chat_completion_response,
         )
 
         message_items = [
@@ -543,6 +576,7 @@ class TestLiteLLMCompletionResponsesConfig:
         assert hasattr(responses_api_response, "_hidden_params")
         assert responses_api_response._hidden_params == {}
 
+
 class TestFunctionCallTransformation:
     """Test cases for function_call input transformation"""
 
@@ -552,30 +586,38 @@ class TestFunctionCallTransformation:
             "type": "function_call",
             "name": "get_weather",
             "arguments": '{"location": "test"}',
-            "call_id": "test_id"
+            "call_id": "test_id",
         }
-        
+
         function_call_output_item = {
             "type": "function_call_output",
             "call_id": "test_id",
-            "output": "result"
+            "output": "result",
         }
-        
-        regular_message = {
-            "type": "message",
-            "role": "user",
-            "content": "Hello"
-        }
-        
+
+        regular_message = {"type": "message", "role": "user", "content": "Hello"}
+
         # Test function_call detection
-        assert LiteLLMCompletionResponsesConfig._is_input_item_function_call(function_call_item)
-        assert not LiteLLMCompletionResponsesConfig._is_input_item_function_call(function_call_output_item)
-        assert not LiteLLMCompletionResponsesConfig._is_input_item_function_call(regular_message)
-        
+        assert LiteLLMCompletionResponsesConfig._is_input_item_function_call(
+            function_call_item
+        )
+        assert not LiteLLMCompletionResponsesConfig._is_input_item_function_call(
+            function_call_output_item
+        )
+        assert not LiteLLMCompletionResponsesConfig._is_input_item_function_call(
+            regular_message
+        )
+
         # Test function_call_output detection (should still work)
-        assert LiteLLMCompletionResponsesConfig._is_input_item_tool_call_output(function_call_output_item)
-        assert not LiteLLMCompletionResponsesConfig._is_input_item_tool_call_output(function_call_item)
-        assert not LiteLLMCompletionResponsesConfig._is_input_item_tool_call_output(regular_message)
+        assert LiteLLMCompletionResponsesConfig._is_input_item_tool_call_output(
+            function_call_output_item
+        )
+        assert not LiteLLMCompletionResponsesConfig._is_input_item_tool_call_output(
+            function_call_item
+        )
+        assert not LiteLLMCompletionResponsesConfig._is_input_item_tool_call_output(
+            regular_message
+        )
 
     def test_function_call_transformation(self):
         """Test that function_call items are correctly transformed to assistant messages with tool calls"""
@@ -585,28 +627,28 @@ class TestFunctionCallTransformation:
             "arguments": '{"location": "São Paulo, Brazil"}',
             "call_id": "call_123",
             "id": "call_123",
-            "status": "completed"
+            "status": "completed",
         }
-        
+
         result = LiteLLMCompletionResponsesConfig._transform_responses_api_function_call_to_chat_completion_message(
             function_call=function_call_item
         )
-        
+
         assert len(result) == 1
         message = result[0]
-        
+
         # Should be an assistant message
         assert message.get("role") == "assistant"
         assert message.get("content") is None  # Function calls don't have content
-        
+
         # Should have tool calls
         tool_calls = message.get("tool_calls", [])
         assert len(tool_calls) == 1
-        
+
         tool_call = tool_calls[0]
         assert tool_call.get("id") == "call_123"
         assert tool_call.get("type") == "function"
-        
+
         function = tool_call.get("function", {})
         assert function.get("name") == "get_weather"
         assert function.get("arguments") == '{"location": "São Paulo, Brazil"}'
@@ -617,7 +659,7 @@ class TestFunctionCallTransformation:
             {
                 "type": "message",
                 "role": "user",
-                "content": "How is the weather in São Paulo today ?"
+                "content": "How is the weather in São Paulo today ?",
             },
             {
                 "type": "function_call",
@@ -625,49 +667,51 @@ class TestFunctionCallTransformation:
                 "call_id": "call_1fe70e2a-a596-45ef-b72c-9b8567c460e5",
                 "name": "get_weather",
                 "id": "call_1fe70e2a-a596-45ef-b72c-9b8567c460e5",
-                "status": "completed"
+                "status": "completed",
             },
             {
                 "type": "function_call_output",
                 "call_id": "call_1fe70e2a-a596-45ef-b72c-9b8567c460e5",
-                "output": "Rainy"
-            }
+                "output": "Rainy",
+            },
         ]
-        
+
         # This should not raise an error (previously would raise "Invalid content type: <class 'NoneType'>")
         messages = LiteLLMCompletionResponsesConfig._transform_response_input_param_to_chat_completion_message(
             input=test_input
         )
-        
+
         assert len(messages) == 3
-        
+
         # First message: user message
         user_msg = messages[0]
         assert user_msg.get("role") == "user"
         assert user_msg.get("content") == "How is the weather in São Paulo today ?"
-        
+
         # Second message: assistant message with tool call
         assistant_msg = messages[1]
         assert assistant_msg.get("role") == "assistant"
         assert assistant_msg.get("tool_calls") is not None
         assert len(assistant_msg.get("tool_calls", [])) == 1
-        
+
         tool_call = assistant_msg.get("tool_calls")[0]
         assert tool_call.get("function", {}).get("name") == "get_weather"
-        
+
         # Third message: tool output
         tool_msg = messages[2]
         assert tool_msg.get("role") == "tool"
         assert tool_msg.get("content") == "Rainy"
-        assert tool_msg.get("tool_call_id") == "call_1fe70e2a-a596-45ef-b72c-9b8567c460e5"
+        assert (
+            tool_msg.get("tool_call_id") == "call_1fe70e2a-a596-45ef-b72c-9b8567c460e5"
+        )
 
     def test_complete_request_transformation_with_function_calls(self):
         """Test the complete request transformation that would be used by the responses API"""
         test_input = [
             {
                 "type": "message",
-                "role": "user", 
-                "content": "How is the weather in São Paulo today ?"
+                "role": "user",
+                "content": "How is the weather in São Paulo today ?",
             },
             {
                 "type": "function_call",
@@ -675,15 +719,15 @@ class TestFunctionCallTransformation:
                 "call_id": "call_1fe70e2a-a596-45ef-b72c-9b8567c460e5",
                 "name": "get_weather",
                 "id": "call_1fe70e2a-a596-45ef-b72c-9b8567c460e5",
-                "status": "completed"
+                "status": "completed",
             },
             {
                 "type": "function_call_output",
                 "call_id": "call_1fe70e2a-a596-45ef-b72c-9b8567c460e5",
-                "output": "Rainy"
-            }
+                "output": "Rainy",
+            },
         ]
-        
+
         tools = [
             {
                 "type": "function",
@@ -694,44 +738,41 @@ class TestFunctionCallTransformation:
                     "properties": {
                         "location": {
                             "type": "string",
-                            "description": "City and country e.g. Bogotá, Colombia"
+                            "description": "City and country e.g. Bogotá, Colombia",
                         }
                     },
                     "required": ["location"],
-                    "additionalProperties": False
-                }
+                    "additionalProperties": False,
+                },
             }
         ]
-        
-        responses_api_request = {
-            "store": False,
-            "tools": tools
-        }
-        
+
+        responses_api_request = {"store": False, "tools": tools}
+
         # This should work without errors for non-OpenAI models
         result = LiteLLMCompletionResponsesConfig.transform_responses_api_request_to_chat_completion_request(
             model="gemini/gemini-2.0-flash",
             input=test_input,
             responses_api_request=responses_api_request,
-            extra_headers={"X-Test-Header": "test-value"}
+            extra_headers={"X-Test-Header": "test-value"},
         )
-        
+
         assert "messages" in result
         assert "model" in result
         assert "tools" in result
-        
+
         messages = result["messages"]
         assert len(messages) == 3
         assert result["model"] == "gemini/gemini-2.0-flash"
-        
+
         # Verify the structure is correct for chat completion
         user_msg = messages[0]
         assert user_msg["role"] == "user"
-        
-        assistant_msg = messages[1]  
+
+        assistant_msg = messages[1]
         assert assistant_msg["role"] == "assistant"
         assert "tool_calls" in assistant_msg
-        
+
         tool_msg = messages[2]
         assert tool_msg["role"] == "tool"
 
@@ -743,18 +784,18 @@ class TestFunctionCallTransformation:
             "type": "function_call",
             "name": "get_weather",
             "arguments": '{"location": "test"}',
-            "id": "fallback_id"  # Only has 'id', not 'call_id'
+            "id": "fallback_id",  # Only has 'id', not 'call_id'
         }
-        
+
         result = LiteLLMCompletionResponsesConfig._transform_responses_api_function_call_to_chat_completion_message(
             function_call=function_call_item
         )
-        
+
         assert len(result) == 1
         message = result[0]
         tool_calls = message.get("tool_calls", [])
         assert len(tool_calls) == 1
-        
+
         tool_call = tool_calls[0]
         assert tool_call.get("id") == "fallback_id"
 
@@ -778,7 +819,11 @@ class TestFunctionCallTransformation:
         messages_missing_tool_calls = [
             {"role": "user", "content": "Search for python bugs"},
             {"role": "assistant", "content": None, "tool_calls": []},
-            {"role": "tool", "content": "Found 5 results", "tool_call_id": tool_call_id},
+            {
+                "role": "tool",
+                "content": "Found 5 results",
+                "tool_call_id": tool_call_id,
+            },
         ]
 
         try:
@@ -830,7 +875,11 @@ class TestFunctionCallTransformation:
         messages_missing_tool_calls = [
             {"role": "user", "content": "Search using attr object"},
             {"role": "assistant", "content": None, "tool_calls": []},
-            {"role": "tool", "content": "Found 3 results", "tool_call_id": tool_call_id},
+            {
+                "role": "tool",
+                "content": "Found 3 results",
+                "tool_call_id": tool_call_id,
+            },
         ]
 
         try:
@@ -859,7 +908,9 @@ class TestToolChoiceTransformation:
         Test that {"type": "tool"} is transformed to "required".
         This fixes the Anthropic error: "tool_choice.tool.name: Field required"
         """
-        result = LiteLLMCompletionResponsesConfig._transform_tool_choice({"type": "tool"})
+        result = LiteLLMCompletionResponsesConfig._transform_tool_choice(
+            {"type": "tool"}
+        )
         assert result == "required"
 
     def test_transform_tool_choice_preserves_function_with_name(self):
@@ -877,12 +928,20 @@ class TestContentTypeTransformation:
         Test that 'tool_result' content type is transformed to 'text'.
         This fixes: Invalid user message - content type 'tool_result' not valid.
         """
-        result = LiteLLMCompletionResponsesConfig._get_chat_completion_request_content_type("tool_result")
+        result = (
+            LiteLLMCompletionResponsesConfig._get_chat_completion_request_content_type(
+                "tool_result"
+            )
+        )
         assert result == "text"
 
     def test_input_text_content_type_transformed_to_text(self):
         """Test that 'input_text' content type is transformed to 'text'"""
-        result = LiteLLMCompletionResponsesConfig._get_chat_completion_request_content_type("input_text")
+        result = (
+            LiteLLMCompletionResponsesConfig._get_chat_completion_request_content_type(
+                "input_text"
+            )
+        )
         assert result == "text"
 
     def test_none_text_blocks_filtered_out(self):
@@ -896,7 +955,9 @@ class TestContentTypeTransformation:
             {"type": "text", "text": None},  # Should be filtered out
             {"type": "text", "text": "another valid"},
         ]
-        result = LiteLLMCompletionResponsesConfig._transform_responses_api_content_to_chat_completion_content(content)
+        result = LiteLLMCompletionResponsesConfig._transform_responses_api_content_to_chat_completion_content(
+            content
+        )
         assert len(result) == 2
         assert result[0]["text"] == "valid text"
         assert result[1]["text"] == "another valid"
@@ -911,14 +972,16 @@ class TestToolTransformation:
 
         # Create a Vertex AI tool using the enum value
         vertex_tool = {VertexToolName.CODE_EXECUTION.value: {}}
-        
+
         tools = [vertex_tool]
-        
+
         # Execute
-        result_tools, web_search_options = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, web_search_options = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         assert result_tools[0] == vertex_tool
@@ -930,18 +993,18 @@ class TestToolTransformation:
             "type": "mcp",
             "server_label": "zapier",
             "server_url": "https://mcp.zapier.com/api/mcp/mcp",
-            "headers": {
-                "Authorization": "Bearer token123"
-            },
+            "headers": {"Authorization": "Bearer token123"},
         }
-        
+
         tools = [mcp_tool]
-        
+
         # Execute
-        result_tools, web_search_options = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, web_search_options = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         assert result_tools[0] == mcp_tool
@@ -953,16 +1016,18 @@ class TestToolTransformation:
         computer_use_tool = {
             "type": "computer_use",
             "display_width_px": 1024,
-            "display_height_px": 768
+            "display_height_px": 768,
         }
-        
+
         tools = [computer_use_tool]
-        
+
         # Execute
-        result_tools, web_search_options = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, web_search_options = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         assert result_tools[0] == computer_use_tool
@@ -974,16 +1039,18 @@ class TestToolTransformation:
         web_search_tool = {
             "type": "web_search_preview",
             "search_context_size": "medium",
-            "user_location": {"country": "US"}
+            "user_location": {"country": "US"},
         }
-        
+
         tools = [web_search_tool]
-        
+
         # Execute
-        result_tools, web_search_options = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, web_search_options = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 0  # Web search is not added to tools
         assert web_search_options is not None
@@ -998,24 +1065,24 @@ class TestToolTransformation:
             "description": "Get weather for a location",
             "parameters": {
                 "type": "object",
-                "properties": {
-                    "location": {"type": "string"}
-                },
-                "required": ["location"]
+                "properties": {"location": {"type": "string"}},
+                "required": ["location"],
             },
             "cache_control": {"type": "ephemeral"},
             "defer_loading": True,
             "allowed_callers": ["user"],
-            "input_examples": [{"location": "San Francisco"}]
+            "input_examples": [{"location": "San Francisco"}],
         }
-        
+
         tools = [function_tool]
-        
+
         # Execute
-        result_tools, web_search_options = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, web_search_options = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         result_tool = result_tools[0]
@@ -1035,16 +1102,18 @@ class TestToolTransformation:
             "name": "search",
             "description": "Search function",
             "parameters": {"type": "object"},
-            "cache_control": {"type": "ephemeral"}
+            "cache_control": {"type": "ephemeral"},
         }
-        
+
         tools = [function_tool]
-        
+
         # Execute
-        result_tools, _ = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, _ = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         result_tool = result_tools[0]
@@ -1059,19 +1128,19 @@ class TestToolTransformation:
             "description": "A simple function",
             "parameters": {
                 "type": "object",
-                "properties": {
-                    "param": {"type": "string"}
-                }
-            }
+                "properties": {"param": {"type": "string"}},
+            },
         }
-        
+
         tools = [function_tool]
-        
+
         # Execute
-        result_tools, _ = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, _ = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         result_tool = result_tools[0]
@@ -1087,16 +1156,18 @@ class TestToolTransformation:
         """Test that code_execution tools are passed through as-is"""
         code_execution_tool = {
             "type": "code_execution_20250825",
-            "name": "python_code_execution"
+            "name": "python_code_execution",
         }
-        
+
         tools = [code_execution_tool]
-        
+
         # Execute
-        result_tools, _ = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, _ = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         assert result_tools[0]["type"] == "code_execution_20250825"
@@ -1105,21 +1176,23 @@ class TestToolTransformation:
         """Test that tool_search tools are passed through as-is"""
         tool_search_regex = {
             "name": "tool_search_tool_regex",
-            "description": "Search tools using regex"
+            "description": "Search tools using regex",
         }
-        
+
         tool_search_bm25 = {
             "name": "tool_search_tool_bm25",
-            "description": "Search tools using BM25"
+            "description": "Search tools using BM25",
         }
-        
+
         tools = [tool_search_regex, tool_search_bm25]
-        
+
         # Execute
-        result_tools, _ = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, _ = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 2
         assert result_tools[0]["name"] == "tool_search_tool_regex"
@@ -1128,7 +1201,7 @@ class TestToolTransformation:
     def test_transform_mixed_tools_list(self):
         """Test transforming a mixed list of different tool types"""
         from litellm.types.llms.vertex_ai import VertexToolName
-        
+
         tools = [
             # Regular function tool with anthropic fields
             {
@@ -1136,40 +1209,38 @@ class TestToolTransformation:
                 "name": "get_weather",
                 "description": "Get weather",
                 "parameters": {"type": "object"},
-                "cache_control": {"type": "ephemeral"}
+                "cache_control": {"type": "ephemeral"},
             },
             # MCP tool
-            {
-                "type": "mcp",
-                "server_label": "zapier"
-            },
+            {"type": "mcp", "server_label": "zapier"},
             # Web search tool
-            {
-                "type": "web_search_preview",
-                "search_context_size": "high"
-            },
+            {"type": "web_search_preview", "search_context_size": "high"},
             # Vertex AI tool
-            {VertexToolName.CODE_EXECUTION.value: {}}
+            {VertexToolName.CODE_EXECUTION.value: {}},
         ]
-        
+
         # Execute
-        result_tools, web_search_options = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, web_search_options = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
-        assert len(result_tools) == 3  # function, mcp, vertex (web_search becomes options)
+        assert (
+            len(result_tools) == 3
+        )  # function, mcp, vertex (web_search becomes options)
         assert web_search_options is not None
-        
+
         # Check function tool
         func_tools = [t for t in result_tools if t.get("type") == "function"]
         assert len(func_tools) == 1
         assert func_tools[0]["cache_control"]["type"] == "ephemeral"
-        
+
         # Check MCP tool
         mcp_tools = [t for t in result_tools if t.get("type") == "mcp"]
         assert len(mcp_tools) == 1
-        
+
         # Check web search was converted to options
         assert web_search_options.get("search_context_size") == "high"
 
@@ -1179,20 +1250,18 @@ class TestToolTransformation:
             "type": "function",
             "name": "test_function",
             "description": "Test function",
-            "parameters": {
-                "properties": {
-                    "arg": {"type": "string"}
-                }
-            }
+            "parameters": {"properties": {"arg": {"type": "string"}}},
         }
-        
+
         tools = [function_tool]
-        
+
         # Execute
-        result_tools, _ = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, _ = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         result_tool = result_tools[0]
@@ -1205,16 +1274,18 @@ class TestToolTransformation:
             "type": "function",
             "name": "test_function",
             "description": "Test function",
-            "parameters": {}
+            "parameters": {},
         }
-        
+
         tools = [function_tool]
-        
+
         # Execute
-        result_tools, _ = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, _ = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         result_tool = result_tools[0]
@@ -1225,16 +1296,18 @@ class TestToolTransformation:
         function_tool = {
             "type": "function",
             "name": "test_function",
-            "description": "Test function"
+            "description": "Test function",
         }
-        
+
         tools = [function_tool]
-        
+
         # Execute
-        result_tools, _ = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, _ = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         result_tool = result_tools[0]
@@ -1246,27 +1319,27 @@ class TestToolTransformation:
             "type": "function",
             "name": "test_function",
             "description": "Test function",
-            "parameters": {
-                "type": "object",
-                "properties": {
-                    "arg": {"type": "string"}
-                }
-            }
+            "parameters": {"type": "object", "properties": {"arg": {"type": "string"}}},
         }
-        
+
         tools = [function_tool]
-        
+
         # Execute
-        result_tools, _ = LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
-            tools=tools
+        result_tools, _ = (
+            LiteLLMCompletionResponsesConfig.transform_responses_api_tools_to_chat_completion_tools(
+                tools=tools
+            )
         )
-        
+
         # Assert
         assert len(result_tools) == 1
         result_tool = result_tools[0]
         assert result_tool["function"]["parameters"]["type"] == "object"
         assert "properties" in result_tool["function"]["parameters"]
-        assert result_tool["function"]["parameters"]["properties"]["arg"]["type"] == "string"
+        assert (
+            result_tool["function"]["parameters"]["properties"]["arg"]["type"]
+            == "string"
+        )
 
 
 class TestUsageTransformation:
@@ -1434,12 +1507,12 @@ class TestUsageTransformation:
         assert response_usage.input_tokens == 13
         assert response_usage.output_tokens == 100
         assert response_usage.total_tokens == 113
-        
+
         # Verify input_tokens_details
         assert response_usage.input_tokens_details is not None
         assert response_usage.input_tokens_details.cached_tokens == 5
         assert response_usage.input_tokens_details.text_tokens == 8
-        
+
         # Verify output_tokens_details
         assert response_usage.output_tokens_details is not None
         assert response_usage.output_tokens_details.reasoning_tokens == 50
@@ -1543,7 +1616,9 @@ class TestUsageTransformation:
                 Choices(
                     finish_reason="stop",
                     index=0,
-                    message=Message(content="Here is the generated image.", role="assistant"),
+                    message=Message(
+                        content="Here is the generated image.", role="assistant"
+                    ),
                 )
             ],
         )
@@ -1569,7 +1644,7 @@ class TestStreamingIDConsistency:
         Test that all streaming events use the same item_id throughout the stream.
         This fixes the issue where text-start, text-delta, and text-end events
         had different IDs, breaking SDK text accumulation.
-        
+
         Reproduces: https://github.com/BerriAI/litellm/issues/14962
         """
         from unittest.mock import Mock
@@ -1645,25 +1720,27 @@ class TestStreamingIDConsistency:
         # Assert: All events should use the same item_id (from the first chunk)
         assert event1 is not None, "First event should not be None"
         assert event2 is not None, "Second event should not be None"
-        
+
         # Extract item_ids from events
         item_id_1 = getattr(event1, "item_id", None)
         item_id_2 = getattr(event2, "item_id", None)
-        
+
         assert item_id_1 is not None, "First event should have an item_id"
         assert item_id_2 is not None, "Second event should have an item_id"
-        
+
         # The critical assertion: IDs should match across all events
         assert item_id_1 == item_id_2, (
             f"Item IDs should be consistent across streaming events. "
             f"Got {item_id_1} and {item_id_2}. "
             f"This breaks SDK text accumulation (issue #14962)."
         )
-        
+
         # Verify the cached ID is set and matches
         assert iterator._cached_item_id is not None, "Iterator should cache the item_id"
         assert iterator._cached_item_id == item_id_1, "Cached ID should match event IDs"
-        assert iterator._cached_item_id == "chatcmpl-first-id", "Should use the first chunk's ID"
+        assert (
+            iterator._cached_item_id == "chatcmpl-first-id"
+        ), "Should use the first chunk's ID"
 
     def test_streaming_iterator_initial_events_use_cached_id(self):
         """
@@ -1704,7 +1781,7 @@ class TestStreamingIDConsistency:
             f"Initial events should use consistent IDs. "
             f"Got output_item_id={output_item_id}, content_part_id={content_part_id}"
         )
-        
+
         # Verify it matches the cached ID
         assert iterator._cached_item_id is not None
         assert iterator._cached_item_id == output_item_id
@@ -1753,7 +1830,9 @@ class TestStreamingIDConsistency:
 
         # Create done events
         text_done_event = iterator.create_output_text_done_event(complete_response)
-        content_done_event = iterator.create_output_content_part_done_event(complete_response)
+        content_done_event = iterator.create_output_content_part_done_event(
+            complete_response
+        )
         item_done_event = iterator.create_output_item_done_event(complete_response)
 
         # Extract IDs
@@ -1765,12 +1844,12 @@ class TestStreamingIDConsistency:
         assert text_done_id is not None, "Text done event should have an item_id"
         assert content_done_id is not None, "Content done event should have an item_id"
         assert item_done_id is not None, "Item done event should have an id"
-        
+
         assert text_done_id == content_done_id == item_done_id, (
             f"All done events should use consistent IDs. "
             f"Got text_done={text_done_id}, content_done={content_done_id}, item_done={item_done_id}"
         )
-        
+
         # Verify it matches the cached ID
         assert iterator._cached_item_id is not None
         assert iterator._cached_item_id == text_done_id
@@ -1826,13 +1905,14 @@ class TestStreamingIDConsistency:
 
         # The single assistant message must contain BOTH tool_calls
         assistant_messages = [
-            m for m in messages
+            m
+            for m in messages
             if (m.get("role") if isinstance(m, dict) else getattr(m, "role", None))
             == "assistant"
         ]
-        assert len(assistant_messages) == 1, (
-            f"Expected 1 assistant message, got {len(assistant_messages)}"
-        )
+        assert (
+            len(assistant_messages) == 1
+        ), f"Expected 1 assistant message, got {len(assistant_messages)}"
 
         assistant_msg = assistant_messages[0]
         tool_calls = (
@@ -1840,9 +1920,9 @@ class TestStreamingIDConsistency:
             if isinstance(assistant_msg, dict)
             else getattr(assistant_msg, "tool_calls", None)
         )
-        assert tool_calls is not None and len(tool_calls) == 2, (
-            f"Expected 2 tool_calls in the merged assistant message, got: {tool_calls}"
-        )
+        assert (
+            tool_calls is not None and len(tool_calls) == 2
+        ), f"Expected 2 tool_calls in the merged assistant message, got: {tool_calls}"
 
         call_ids = [
             (tc.get("id") if isinstance(tc, dict) else getattr(tc, "id", None))
@@ -1853,13 +1933,14 @@ class TestStreamingIDConsistency:
 
         # Both tool messages must be present
         tool_messages = [
-            m for m in messages
+            m
+            for m in messages
             if (m.get("role") if isinstance(m, dict) else getattr(m, "role", None))
             == "tool"
         ]
-        assert len(tool_messages) == 2, (
-            f"Expected 2 tool messages, got {len(tool_messages)}"
-        )
+        assert (
+            len(tool_messages) == 2
+        ), f"Expected 2 tool messages, got {len(tool_messages)}"
 
     def test_single_tool_call_still_works_after_merge_fix(self):
         """
@@ -1890,7 +1971,12 @@ class TestStreamingIDConsistency:
         assert "assistant" in roles
         assert "tool" in roles
 
-        assistant_messages = [m for m in messages if (m.get("role") if isinstance(m, dict) else getattr(m, "role", None)) == "assistant"]
+        assistant_messages = [
+            m
+            for m in messages
+            if (m.get("role") if isinstance(m, dict) else getattr(m, "role", None))
+            == "assistant"
+        ]
         assert len(assistant_messages) == 1
 
         tool_calls = (

From ca316f082c577c1f7e8d9a923819d24564e3600c Mon Sep 17 00:00:00 2001
From: stuxf <70670632+stuxf@users.noreply.github.com>
Date: Tue, 31 Mar 2026 13:13:18 -0700
Subject: [PATCH 103/115] chore: update security.md (#24871)

---
 security.md | 34 ++++++++++++++++------------------
 1 file changed, 16 insertions(+), 18 deletions(-)

diff --git a/security.md b/security.md
index 76743b3af3d..c6cd64ddaac 100644
--- a/security.md
+++ b/security.md
@@ -1,16 +1,15 @@
 # Data Privacy and Security
 
+
 ## Security Vulnerability Reporting Guidelines
 
 We value the security community's role in protecting our systems and users. To report a security vulnerability:
 
-- Email support@berri.ai with details
+- File a private vulnerability report on GitHub: [Report a vulnerability](https://github.com/BerriAI/litellm/security/advisories/new)
 - Include steps to reproduce the issue
 - Provide any relevant additional information
 
-We'll review all reports promptly.
-
-#### Vulnerability Categories
+### Vulnerability Categories
 
 We classify vulnerabilities into the following categories:
 
@@ -20,22 +19,31 @@ Attacks that compromise our CI/CD pipeline, allowing a malicious actor to point
 
 **P1: Unauthenticated Proxy Access**
 
-Application-level attacks where an unauthenticated user is able to gain access to a LiteLLM proxy instance that should be protected.
+Application-level attacks where an unauthenticated user is able to gain access to protected data on a LiteLLM proxy instance that should be protected (e.g api keys).
 
+**P2: Authenticated Malicious Actions**
 
-#### Bug Bounty Program
+Application-level attacks where an authenticated user is able to perform actions beyond their intended permissions, such as privilege escalation or unauthorized data access.
+
+### Bug Bounty Program
 
 We offer bounties for responsibly disclosed vulnerabilities based on severity:
 
+**Note that currently only P0/P1 reports are eligible for a bounty, though submissions for P2 bugs are still encouraged**
+
 | Severity | Bounty Range | Example |
 |----------|-------------|---------|
 | **Critical** | $1,500 - $3,000 | P0 supply chain compromise |
 | **High** | $500 - $1,500 | P1 unauthenticated proxy access |
-| **Medium** | $250 - $500 | P2 authenticated privilege escalation |
-| **Low** | $50 - $250 | Minor information disclosure, low-impact misconfigurations |
+| **Medium** | N/A | P2 authenticated privilege escalation |
+| **Low** | N/A | Minor information disclosure, low-impact misconfigurations |
 
 To qualify for a bounty, reports must include clear reproduction steps and must not involve systems or accounts you do not own. We review all submissions promptly and will follow up within 5 business days.
 
+### Known Non-Issues
+
+- Attacks that require a misconfiguration on setup (e.g not setting a `master_key` on the proxy configuration), are **explicitly not in scope** and are not considered vulnerable.
+
 ## Security Measures
 
 ### LiteLLM Github
@@ -68,13 +76,3 @@ LiteLLM supports the following data regions:
 - Europe, Frankfurt, Germany (AWS/GCP `eu-central-1`)
 
 All data, user accounts, and infrastructure are completely separated between these two regions
-
-### Security Vulnerability Reporting Guidelines
-
-We value the security community's role in protecting our systems and users. To report a security vulnerability:
-
-- File a private vulnerability report on GitHub: [Report a vulnerability](https://github.com/BerriAI/litellm/security/advisories/new)
-- Include steps to reproduce the issue
-- Provide any relevant additional information
-
-We'll review all reports promptly. Note that we don't currently offer a bug bounty program.

From 7066c895f610efbaa0a36bac22843cb05b5cf7d6 Mon Sep 17 00:00:00 2001
From: stuxf <70670632+stuxf@users.noreply.github.com>
Date: Tue, 31 Mar 2026 13:41:37 -0700
Subject: [PATCH 104/115] =?UTF-8?q?chore:=20harden=20npm=20supply=20chain?=
 =?UTF-8?q?=20=E2=80=94=20pin=20overrides,=20enforce=20npm=20ci,=20add=20i?=
 =?UTF-8?q?gnore-scripts=20(#24838)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* chore: harden npm supply chain — pin overrides, enforce npm ci, add ignore-scripts

Replace open-ended >= version overrides with exact pins matching lockfile
versions across all 6 package.json files. Remove dead overrides for packages
not present in lockfiles. Switch CI and devcontainer from npm install to
npm ci for deterministic lockfile-based installs.

Add .npmrc to all 7 JS project directories with ignore-scripts=true (blocks
postinstall RAT vectors like the axios@1.14.1 supply chain attack) and
min-release-age=3d (refuses packages published <3 days ago, requires npm
>=11.10). Remove Yarn-only resolutions field from docs/my-website.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: bump sharp to 0.33.5 in docs, add docs .npmrc

sharp 0.32.x uses postinstall to download native binaries, which breaks
with ignore-scripts=true. sharp 0.33+ distributes via optionalDependencies
instead, making it compatible with the new .npmrc hardening.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: remove docs .npmrc to fix Vercel deploy

Vercel's build for docs/my-website uses npm install which needs
sharp 0.32.6's postinstall script. Since we don't control Vercel's
build process, remove the .npmrc from docs rather than fight it.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: Dockerfile npm ci + nvm checksum verification

- Replace npm install with npm ci in Dockerfile.non_root,
  Dockerfile.custom_ui, and spend-logs/Dockerfile for deterministic
  lockfile-based installs
- Replace curl-pipe-bash nvm install with download-then-verify pattern
  in build_admin_ui.sh, build_ui.sh, and build_ui_custom_path.sh
- Update nvm from v0.38.0 (2021) to v0.40.4 (Jan 2026) with SHA256
  checksum verification before execution

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix: macOS sha256sum compat + clarify min-release-age scope

- Use shasum -a 256 fallback on macOS where sha256sum is unavailable
- Clarify in .npmrc comments that min-release-age only protects local
  npm install, not npm ci (used in CI)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .devcontainer/post-create.sh                  |  2 +-
 .github/workflows/test-litellm-ui-build.yml   |  2 +-
 .npmrc                                        |  5 ++
 ci_cd/security_scans.sh                       |  2 +-
 docker/Dockerfile.custom_ui                   |  2 +-
 docker/Dockerfile.non_root                    |  2 +-
 docker/build_admin_ui.sh                      | 15 +++++-
 docs/my-website/package.json                  | 51 +++++++------------
 litellm-js/proxy/.npmrc                       |  5 ++
 litellm-js/spend-logs/.npmrc                  |  5 ++
 litellm-js/spend-logs/Dockerfile              |  2 +-
 litellm-js/spend-logs/package.json            | 19 +------
 package.json                                  | 20 ++------
 tests/proxy_admin_ui_tests/.npmrc             |  5 ++
 tests/proxy_admin_ui_tests/package.json       | 19 +------
 .../proxy_admin_ui_tests/ui_unit_tests/.npmrc |  5 ++
 .../ui_unit_tests/package.json                | 21 +++-----
 ui/litellm-dashboard/.npmrc                   |  5 ++
 ui/litellm-dashboard/build_ui.sh              | 16 +++++-
 ui/litellm-dashboard/build_ui_custom_path.sh  | 16 +++++-
 ui/litellm-dashboard/package.json             | 30 +++--------
 21 files changed, 117 insertions(+), 132 deletions(-)
 create mode 100644 .npmrc
 create mode 100644 litellm-js/proxy/.npmrc
 create mode 100644 litellm-js/spend-logs/.npmrc
 create mode 100644 tests/proxy_admin_ui_tests/.npmrc
 create mode 100644 tests/proxy_admin_ui_tests/ui_unit_tests/.npmrc
 create mode 100644 ui/litellm-dashboard/.npmrc

diff --git a/.devcontainer/post-create.sh b/.devcontainer/post-create.sh
index bd72e91a20f..484baa9041d 100644
--- a/.devcontainer/post-create.sh
+++ b/.devcontainer/post-create.sh
@@ -12,6 +12,6 @@ echo "[post-create] Generating Prisma client"
 poetry run prisma generate
 
 echo "[post-create] Installing npm dependencies"
-cd ui/litellm-dashboard && npm install --no-audit --no-fund
+cd ui/litellm-dashboard && npm ci
 
 echo "[post-create] Done"
\ No newline at end of file
diff --git a/.github/workflows/test-litellm-ui-build.yml b/.github/workflows/test-litellm-ui-build.yml
index 6b0b3a413a6..bef568298e0 100644
--- a/.github/workflows/test-litellm-ui-build.yml
+++ b/.github/workflows/test-litellm-ui-build.yml
@@ -28,7 +28,7 @@ jobs:
           cache-dependency-path: ui/litellm-dashboard/package-lock.json
 
       - name: Install dependencies
-        run: npm install
+        run: npm ci
 
       - name: Build
         run: npm run build
diff --git a/.npmrc b/.npmrc
new file mode 100644
index 00000000000..168e81a1c4e
--- /dev/null
+++ b/.npmrc
@@ -0,0 +1,5 @@
+# Supply-chain hardening
+# Packages needing lifecycle scripts: npm rebuild <pkg>
+ignore-scripts=true
+# Protects local npm install only — npm ci (used in CI) ignores this
+min-release-age=3d
diff --git a/ci_cd/security_scans.sh b/ci_cd/security_scans.sh
index 061e454465a..ee33393c8b1 100755
--- a/ci_cd/security_scans.sh
+++ b/ci_cd/security_scans.sh
@@ -160,7 +160,7 @@ run_grype_scans() {
         "CVE-2026-0775" # npm cli incorrect permission assignment - no fix available yet, npm is only used at build/prisma-generate time
         "GHSA-3ppc-4f35-3m26" # minimatch ReDoS via repeated wildcards - from nodejs_wheel bundled npm, not used in application runtime code
         "GHSA-83g3-92jg-28cx" # tar arbitrary file read/write via hardlink - from nodejs_wheel bundled npm, not used in application runtime code
-        "CVE-2026-25639" # axios - full fix requires 1.x major version bump; pinned to >=0.30.2 to clear other axios CVEs, upgrade to 1.x in follow-up
+        "CVE-2026-25639" # axios DoS via __proto__ in mergeConfig - transitive dev dep via @neondatabase/api-client, not imported in application code
         "CVE-2026-2297" # Python 3.13 SourcelessFileLoader audit hook bypass - no fix available in base image
         "GHSA-qffp-2rhf-9h96" # tar hardlink path traversal - from nodejs_wheel bundled npm, not used in application runtime code
         "CVE-2026-2673" # OpenSSL 3.6.1 TLS 1.3 key exchange group negotiation issue - no fix available yet
diff --git a/docker/Dockerfile.custom_ui b/docker/Dockerfile.custom_ui
index c1bd9a383fa..9ab416944f5 100644
--- a/docker/Dockerfile.custom_ui
+++ b/docker/Dockerfile.custom_ui
@@ -51,7 +51,7 @@ ENV UI_BASE_PATH="/prod/ui"
 
 # Build the UI with the specified UI_BASE_PATH
 WORKDIR /app/ui/litellm-dashboard
-RUN npm install
+RUN npm ci
 RUN UI_BASE_PATH=$UI_BASE_PATH npm run build
 
 # Create the destination directory
diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root
index db3981fb7e7..c224894779c 100644
--- a/docker/Dockerfile.non_root
+++ b/docker/Dockerfile.non_root
@@ -47,7 +47,7 @@ RUN mkdir -p /var/lib/litellm/ui && \
     if [ -f "/app/enterprise/enterprise_ui/enterprise_colors.json" ]; then \
       cp /app/enterprise/enterprise_ui/enterprise_colors.json ./ui_colors.json; \
     fi && \
-    npm install --legacy-peer-deps && \
+    npm ci && \
     npm run build && \
     cp -r /app/ui/litellm-dashboard/out/* /var/lib/litellm/ui/ && \
     mkdir -p /var/lib/litellm/assets && \
diff --git a/docker/build_admin_ui.sh b/docker/build_admin_ui.sh
index 5373ad0e3d9..efb2bac3535 100755
--- a/docker/build_admin_ui.sh
+++ b/docker/build_admin_ui.sh
@@ -40,11 +40,22 @@ else
         exit 1
     fi
 fi
-curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.38.0/install.sh | bash
+NVM_VERSION="v0.40.4"
+NVM_CHECKSUM="4b7412c49960c7d31e8df72da90c1fb5b8cccb419ac99537b737028d497aba4f"
+NVM_SCRIPT=$(mktemp)
+trap 'rm -f "$NVM_SCRIPT"' EXIT
+curl -fsSL "https://raw.githubusercontent.com/nvm-sh/nvm/${NVM_VERSION}/install.sh" -o "$NVM_SCRIPT"
+if command -v sha256sum &>/dev/null; then
+  echo "${NVM_CHECKSUM}  ${NVM_SCRIPT}" | sha256sum -c -
+elif command -v shasum &>/dev/null; then
+  echo "${NVM_CHECKSUM}  ${NVM_SCRIPT}" | shasum -a 256 -c -
+else
+  echo "No sha256 tool found; cannot verify nvm checksum"; exit 1
+fi || { echo "nvm checksum verification failed"; exit 1; }
+bash "$NVM_SCRIPT"
 source ~/.nvm/nvm.sh
 nvm install v18.17.0
 nvm use v18.17.0
-npm install -g npm
 
 # copy _enterprise.json from this directory to /ui/litellm-dashboard, and rename it to ui_colors.json
 cp enterprise/enterprise_ui/enterprise_colors.json ui/litellm-dashboard/ui_colors.json
diff --git a/docs/my-website/package.json b/docs/my-website/package.json
index 4b41a7ef46a..2802d24b57e 100644
--- a/docs/my-website/package.json
+++ b/docs/my-website/package.json
@@ -48,27 +48,26 @@
     "node": ">=16.14",
     "npm": ">=8.3.0"
   },
-  "resolutions": {
-    "webpack-dev-server": ">=5.2.1",
-    "form-data": ">=4.0.4",
-    "mermaid": ">=11.10.0",
-    "gray-matter": "4.0.3",
-    "node-forge": ">=1.3.2"
-  },
   "overrides": {
-    "webpack-dev-server": ">=5.2.1",
-    "form-data": ">=4.0.4",
-    "mermaid": ">=11.10.0",
     "gray-matter": "4.0.3",
-    "glob": ">=11.1.0",
-    "tar": ">=7.5.10",
-    "minimatch": ">=10.2.4",
-    "diff": ">=8.0.3",
-    "@isaacs/brace-expansion": ">=5.0.1",
-    "serialize-javascript": ">=7.0.3",
-    "node-forge": ">=1.3.2",
-    "mdast-util-to-hast": ">=13.2.1",
-    "lodash-es": ">=4.17.23",
+    "webpack-dev-server": "5.2.3",
+    "form-data": "4.0.5",
+    "mermaid": "11.12.1",
+    "minimatch": "10.2.4",
+    "serialize-javascript": "7.0.3",
+    "mdast-util-to-hast": "13.2.1",
+    "lodash-es": "4.17.23",
+    "@babel/traverse": "7.28.5",
+    "ws": "8.19.0",
+    "http-proxy-middleware": "3.0.5",
+    "tar-fs": "3.1.1",
+    "webpack-dev-middleware": "5.3.4",
+    "braces": "3.0.3",
+    "webpack": "5.105.3",
+    "serve-static": "2.2.1",
+    "path-to-regexp": "1.9.0",
+    "dompurify": "3.3.2",
+    "svgo": "4.0.1",
     "schema-utils@3": {
       "ajv": "6.14.0"
     },
@@ -83,18 +82,6 @@
     },
     "url-loader": {
       "ajv": "6.14.0"
-    },
-    "@babel/traverse": ">=7.23.2",
-    "ws": ">=7.5.10",
-    "http-proxy-middleware": ">=2.0.9",
-    "tar-fs": ">=2.1.4",
-    "webpack-dev-middleware": ">=5.3.4",
-    "braces": ">=3.0.3",
-    "axios": "1.13.6",
-    "webpack": ">=5.94.0",
-    "serve-static": ">=1.16.0",
-    "path-to-regexp": ">=0.1.12",
-    "dompurify": ">=3.3.2",
-    "svgo": ">=3.3.3"
+    }
   }
 }
diff --git a/litellm-js/proxy/.npmrc b/litellm-js/proxy/.npmrc
new file mode 100644
index 00000000000..168e81a1c4e
--- /dev/null
+++ b/litellm-js/proxy/.npmrc
@@ -0,0 +1,5 @@
+# Supply-chain hardening
+# Packages needing lifecycle scripts: npm rebuild <pkg>
+ignore-scripts=true
+# Protects local npm install only — npm ci (used in CI) ignores this
+min-release-age=3d
diff --git a/litellm-js/spend-logs/.npmrc b/litellm-js/spend-logs/.npmrc
new file mode 100644
index 00000000000..168e81a1c4e
--- /dev/null
+++ b/litellm-js/spend-logs/.npmrc
@@ -0,0 +1,5 @@
+# Supply-chain hardening
+# Packages needing lifecycle scripts: npm rebuild <pkg>
+ignore-scripts=true
+# Protects local npm install only — npm ci (used in CI) ignores this
+min-release-age=3d
diff --git a/litellm-js/spend-logs/Dockerfile b/litellm-js/spend-logs/Dockerfile
index a325b5cbc91..5040dc74bf6 100644
--- a/litellm-js/spend-logs/Dockerfile
+++ b/litellm-js/spend-logs/Dockerfile
@@ -8,7 +8,7 @@ WORKDIR /app
 COPY ./litellm-js/spend-logs/package*.json ./
 
 # Install dependencies
-RUN npm install
+RUN npm ci
 
 # Install Prisma globally
 RUN npm install -g prisma
diff --git a/litellm-js/spend-logs/package.json b/litellm-js/spend-logs/package.json
index 2ac81ee4898..8bccbdba27b 100644
--- a/litellm-js/spend-logs/package.json
+++ b/litellm-js/spend-logs/package.json
@@ -9,22 +9,5 @@
   "devDependencies": {
     "@types/node": "^20.11.17",
     "tsx": "^4.7.1"
-  },
-  "overrides": {
-    "glob": ">=11.1.0",
-    "tar": ">=7.5.10",
-    "minimatch": ">=10.2.4",
-    "diff": ">=8.0.3",
-    "@isaacs/brace-expansion": ">=5.0.1",
-    "@babel/traverse": ">=7.23.2",
-    "ws": ">=7.5.10",
-    "http-proxy-middleware": ">=2.0.9",
-    "tar-fs": ">=2.1.4",
-    "webpack-dev-middleware": ">=5.3.4",
-    "braces": ">=3.0.3",
-    "axios": "1.13.6",
-    "webpack": ">=5.94.0",
-    "serve-static": ">=1.16.0",
-    "path-to-regexp": ">=0.1.12"
   }
-}
\ No newline at end of file
+}
diff --git a/package.json b/package.json
index e44ebd40687..9a7ebf4ae05 100644
--- a/package.json
+++ b/package.json
@@ -11,20 +11,10 @@
     "jest": "^29.7.0"
   },
   "overrides": {
-    "glob": ">=11.1.0",
-    "tar": ">=7.5.11",
-    "minimatch": ">=10.2.4",
-    "diff": ">=8.0.3",
-    "@isaacs/brace-expansion": ">=5.0.1",
-    "@babel/traverse": ">=7.23.2",
-    "ws": ">=7.5.10",
-    "http-proxy-middleware": ">=2.0.9",
-    "tar-fs": ">=2.1.4",
-    "webpack-dev-middleware": ">=5.3.4",
-    "braces": ">=3.0.3",
-    "axios": "1.13.6",
-    "webpack": ">=5.94.0",
-    "serve-static": ">=1.16.0",
-    "path-to-regexp": ">=0.1.12"
+    "glob": "13.0.0",
+    "minimatch": "10.1.1",
+    "@isaacs/brace-expansion": "5.0.0",
+    "@babel/traverse": "7.28.5",
+    "braces": "3.0.3"
   }
 }
diff --git a/tests/proxy_admin_ui_tests/.npmrc b/tests/proxy_admin_ui_tests/.npmrc
new file mode 100644
index 00000000000..168e81a1c4e
--- /dev/null
+++ b/tests/proxy_admin_ui_tests/.npmrc
@@ -0,0 +1,5 @@
+# Supply-chain hardening
+# Packages needing lifecycle scripts: npm rebuild <pkg>
+ignore-scripts=true
+# Protects local npm install only — npm ci (used in CI) ignores this
+min-release-age=3d
diff --git a/tests/proxy_admin_ui_tests/package.json b/tests/proxy_admin_ui_tests/package.json
index 410a0f5eca6..20dfed7a8a5 100644
--- a/tests/proxy_admin_ui_tests/package.json
+++ b/tests/proxy_admin_ui_tests/package.json
@@ -10,22 +10,5 @@
   "devDependencies": {
     "@playwright/test": "^1.47.2",
     "@types/node": "^22.5.5"
-  },
-  "overrides": {
-    "glob": ">=11.1.0",
-    "tar": ">=7.5.10",
-    "minimatch": ">=10.2.4",
-    "diff": ">=8.0.3",
-    "@isaacs/brace-expansion": ">=5.0.1",
-    "@babel/traverse": ">=7.23.2",
-    "ws": ">=7.5.10",
-    "http-proxy-middleware": ">=2.0.9",
-    "tar-fs": ">=2.1.4",
-    "webpack-dev-middleware": ">=5.3.4",
-    "braces": ">=3.0.3",
-    "axios": "1.13.6",
-    "webpack": ">=5.94.0",
-    "serve-static": ">=1.16.0",
-    "path-to-regexp": ">=0.1.12"
   }
-}
\ No newline at end of file
+}
diff --git a/tests/proxy_admin_ui_tests/ui_unit_tests/.npmrc b/tests/proxy_admin_ui_tests/ui_unit_tests/.npmrc
new file mode 100644
index 00000000000..168e81a1c4e
--- /dev/null
+++ b/tests/proxy_admin_ui_tests/ui_unit_tests/.npmrc
@@ -0,0 +1,5 @@
+# Supply-chain hardening
+# Packages needing lifecycle scripts: npm rebuild <pkg>
+ignore-scripts=true
+# Protects local npm install only — npm ci (used in CI) ignores this
+min-release-age=3d
diff --git a/tests/proxy_admin_ui_tests/ui_unit_tests/package.json b/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
index 2c8aab2dc47..c6a3e6e260e 100644
--- a/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
+++ b/tests/proxy_admin_ui_tests/ui_unit_tests/package.json
@@ -24,20 +24,11 @@
         "react-dom": "^18.2.0"
     },
     "overrides": {
-        "glob": ">=11.1.0",
-        "tar": ">=7.5.10",
-        "minimatch": ">=10.2.4",
-        "diff": ">=8.0.3",
-        "@isaacs/brace-expansion": ">=5.0.1",
-        "@babel/traverse": ">=7.23.2",
-        "ws": ">=7.5.10",
-        "http-proxy-middleware": ">=2.0.9",
-        "tar-fs": ">=2.1.4",
-        "webpack-dev-middleware": ">=5.3.4",
-        "braces": ">=3.0.3",
-        "axios": "1.13.6",
-        "webpack": ">=5.94.0",
-        "serve-static": ">=1.16.0",
-        "path-to-regexp": ">=0.1.12"
+        "glob": "13.0.0",
+        "minimatch": "10.1.1",
+        "@isaacs/brace-expansion": "5.0.0",
+        "@babel/traverse": "7.28.5",
+        "ws": "8.18.3",
+        "braces": "3.0.3"
     }
 }
\ No newline at end of file
diff --git a/ui/litellm-dashboard/.npmrc b/ui/litellm-dashboard/.npmrc
new file mode 100644
index 00000000000..168e81a1c4e
--- /dev/null
+++ b/ui/litellm-dashboard/.npmrc
@@ -0,0 +1,5 @@
+# Supply-chain hardening
+# Packages needing lifecycle scripts: npm rebuild <pkg>
+ignore-scripts=true
+# Protects local npm install only — npm ci (used in CI) ignores this
+min-release-age=3d
diff --git a/ui/litellm-dashboard/build_ui.sh b/ui/litellm-dashboard/build_ui.sh
index cd6ec901904..aa346c12edc 100755
--- a/ui/litellm-dashboard/build_ui.sh
+++ b/ui/litellm-dashboard/build_ui.sh
@@ -2,8 +2,20 @@
 
 # Check if nvm is not installed
 if ! command -v nvm &> /dev/null; then
-  # Install nvm
-  curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.38.0/install.sh | bash
+  # Install nvm with checksum verification
+  NVM_VERSION="v0.40.4"
+  NVM_CHECKSUM="4b7412c49960c7d31e8df72da90c1fb5b8cccb419ac99537b737028d497aba4f"
+  NVM_SCRIPT=$(mktemp)
+  trap 'rm -f "$NVM_SCRIPT"' EXIT
+  curl -fsSL "https://raw.githubusercontent.com/nvm-sh/nvm/${NVM_VERSION}/install.sh" -o "$NVM_SCRIPT"
+  if command -v sha256sum &>/dev/null; then
+    echo "${NVM_CHECKSUM}  ${NVM_SCRIPT}" | sha256sum -c -
+  elif command -v shasum &>/dev/null; then
+    echo "${NVM_CHECKSUM}  ${NVM_SCRIPT}" | shasum -a 256 -c -
+  else
+    echo "No sha256 tool found; cannot verify nvm checksum"; exit 1
+  fi || { echo "nvm checksum verification failed"; exit 1; }
+  bash "$NVM_SCRIPT"
 
   # Source nvm script in the current session
   export NVM_DIR="$HOME/.nvm"
diff --git a/ui/litellm-dashboard/build_ui_custom_path.sh b/ui/litellm-dashboard/build_ui_custom_path.sh
index f947f87d3b7..a92927f8ea7 100755
--- a/ui/litellm-dashboard/build_ui_custom_path.sh
+++ b/ui/litellm-dashboard/build_ui_custom_path.sh
@@ -12,8 +12,20 @@ UI_BASE_PATH="$1"
 
 # Check if nvm is not installed
 if ! command -v nvm &> /dev/null; then
-    # Install nvm
-    curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.38.0/install.sh | bash
+    # Install nvm with checksum verification
+    NVM_VERSION="v0.40.4"
+    NVM_CHECKSUM="4b7412c49960c7d31e8df72da90c1fb5b8cccb419ac99537b737028d497aba4f"
+    NVM_SCRIPT=$(mktemp)
+    trap 'rm -f "$NVM_SCRIPT"' EXIT
+    curl -fsSL "https://raw.githubusercontent.com/nvm-sh/nvm/${NVM_VERSION}/install.sh" -o "$NVM_SCRIPT"
+    if command -v sha256sum &>/dev/null; then
+      echo "${NVM_CHECKSUM}  ${NVM_SCRIPT}" | sha256sum -c -
+    elif command -v shasum &>/dev/null; then
+      echo "${NVM_CHECKSUM}  ${NVM_SCRIPT}" | shasum -a 256 -c -
+    else
+      echo "No sha256 tool found; cannot verify nvm checksum"; exit 1
+    fi || { echo "nvm checksum verification failed"; exit 1; }
+    bash "$NVM_SCRIPT"
 
     # Source nvm script in the current session
     export NVM_DIR="$HOME/.nvm"
diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json
index 78174813237..7b763eaa66a 100644
--- a/ui/litellm-dashboard/package.json
+++ b/ui/litellm-dashboard/package.json
@@ -82,28 +82,14 @@
     "vitest": "^3.2.4"
   },
   "overrides": {
-    "diff": ">=8.0.3",
-    "prismjs": ">=1.30.0",
-    "webpack-dev-server": ">=5.2.1",
-    "mermaid": ">=11.10.0",
-    "js-yaml": ">=4.1.1",
-    "glob": ">=11.1.0",
-    "tar": ">=7.5.11",
-    "minimatch": ">=10.2.4",
-    "@isaacs/brace-expansion": ">=5.0.1",
-    "node-forge": ">=1.3.2",
-    "lodash-es": ">=4.17.23",
-    "lodash": ">=4.17.23",
-    "@babel/traverse": ">=7.23.2",
-    "ws": ">=7.5.10",
-    "http-proxy-middleware": ">=2.0.9",
-    "tar-fs": ">=2.1.4",
-    "webpack-dev-middleware": ">=5.3.4",
-    "braces": ">=3.0.3",
-    "axios": "1.13.6",
-    "webpack": ">=5.94.0",
-    "serve-static": ">=1.16.0",
-    "path-to-regexp": ">=0.1.12"
+    "prismjs": "1.30.0",
+    "js-yaml": "4.1.1",
+    "glob": "13.0.0",
+    "minimatch": "10.2.4",
+    "lodash": "4.17.23",
+    "ws": "8.19.0",
+    "braces": "3.0.3",
+    "axios": "1.13.6"
   },
   "engines": {
     "node": ">=18.17.0",

From 0112e53046018d726492c814b3644b7d376029d0 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 31 Mar 2026 14:30:27 -0700
Subject: [PATCH 105/115] [Infra] Add release workflow and cosign public key

Add create-release.yml workflow triggered via workflow_dispatch to create
GitHub releases with auto-generated notes. Add cosign public key for
container image signature verification.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .github/workflows/create-release.yml | 60 ++++++++++++++++++++++++++++
 cosign.pub                           |  4 ++
 2 files changed, 64 insertions(+)
 create mode 100644 .github/workflows/create-release.yml
 create mode 100644 cosign.pub

diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml
new file mode 100644
index 00000000000..377c6342c0d
--- /dev/null
+++ b/.github/workflows/create-release.yml
@@ -0,0 +1,60 @@
+name: Create Release
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: "Release tag (e.g. v1.83.0-stable)"
+        required: true
+        type: string
+      commit_hash:
+        description: "Full 40-char commit SHA to target"
+        required: true
+        type: string
+
+permissions: {}
+
+jobs:
+  release:
+    name: Create Release
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+    steps:
+      - name: Validate inputs
+        env:
+          TAG: ${{ inputs.tag }}
+          COMMIT_HASH: ${{ inputs.commit_hash }}
+        run: |
+          if ! echo "${COMMIT_HASH}" | grep -qE '^[0-9a-f]{40}$'; then
+            echo "::error::commit_hash must be a full 40-character commit SHA"
+            exit 1
+          fi
+          if ! echo "${TAG}" | grep -qE '^v[0-9]+\.[0-9]+\.[0-9]+'; then
+            echo "::error::tag must start with vX.Y.Z"
+            exit 1
+          fi
+
+      - name: Create release
+        env:
+          TAG: ${{ inputs.tag }}
+          COMMIT_HASH: ${{ inputs.commit_hash }}
+        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1
+        with:
+          script: |
+            const tag = process.env.TAG;
+            const commitHash = process.env.COMMIT_HASH;
+            try {
+              await github.rest.repos.createRelease({
+                draft: false,
+                generate_release_notes: true,
+                target_commitish: commitHash,
+                name: tag,
+                owner: context.repo.owner,
+                prerelease: false,
+                repo: context.repo.repo,
+                tag_name: tag,
+              });
+            } catch (error) {
+              core.setFailed(error.message);
+            }
diff --git a/cosign.pub b/cosign.pub
new file mode 100644
index 00000000000..2c2a555ab09
--- /dev/null
+++ b/cosign.pub
@@ -0,0 +1,4 @@
+-----BEGIN PUBLIC KEY-----
+MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEKi4ivqGpE231OGH50PKbqy1Y1Kkb
+POJC8+i2Wko82gBOUCe3M0Vw86H/4rhUhfoYEti4gdJ9wZbYmK0I2EE96g==
+-----END PUBLIC KEY-----

From b587b41c605f9ee0e23a8b2f7d2a252ed51eed0d Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Tue, 31 Mar 2026 14:39:26 -0700
Subject: [PATCH 106/115] docs v1.83.0

---
 .../my-website/release_notes/v1.83.0/index.md | 62 +++++++++++++++++++
 1 file changed, 62 insertions(+)
 create mode 100644 docs/my-website/release_notes/v1.83.0/index.md

diff --git a/docs/my-website/release_notes/v1.83.0/index.md b/docs/my-website/release_notes/v1.83.0/index.md
new file mode 100644
index 00000000000..35e8a494ee8
--- /dev/null
+++ b/docs/my-website/release_notes/v1.83.0/index.md
@@ -0,0 +1,62 @@
+---
+title: "v1.83.0 - Official Release (Post Supply Chain Incident)"
+slug: "v1-83-0"
+date: 2026-03-31T00:00:00
+authors:
+  - name: Krrish Dholakia
+    title: CEO, LiteLLM
+    url: https://www.linkedin.com/in/krish-d/
+    image_url: https://pbs.twimg.com/profile_images/1298587542745358340/DZv3Oj-h_400x400.jpg
+  - name: Ishaan Jaff
+    title: CTO, LiteLLM
+    url: https://www.linkedin.com/in/reffajnaahsi/
+    image_url: https://pbs.twimg.com/profile_images/1613813310264340481/lz54oEiB_400x400.jpg
+hide_table_of_contents: false
+---
+
+## Deploy this version
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+<Tabs>
+<TabItem value="docker" label="Docker">
+
+``` showLineNumbers title="docker run litellm"
+docker run \
+-e STORE_MODEL_IN_DB=True \
+-p 4000:4000 \
+ghcr.io/berriai/litellm:main-1.83.0-nightly
+```
+
+</TabItem>
+<TabItem value="pip" label="Pip">
+
+``` showLineNumbers title="pip install litellm"
+pip install litellm==1.83.0
+```
+
+</TabItem>
+</Tabs>
+
+## Context: First Release After Supply Chain Incident
+
+v1.83.0 is the first LiteLLM release built and published through our new [CI/CD v2 pipeline](https://docs.litellm.ai/blog/ci-cd-v2-improvements), following the [supply chain incident on March 24](https://docs.litellm.ai/blog/security-update-march-2026).
+
+We paused all releases for one week while we:
+1. Completed a forensic review with [Mandiant](https://www.mandiant.com/) and [Veria Labs](https://verialabs.com/)
+2. Rebuilt the release pipeline from scratch with isolated environments and ephemeral credentials
+3. Verified the codebase contains no indicators of compromise
+
+If you have questions about this release or the incident, see our [Security Townhall post](https://docs.litellm.ai/blog/security-townhall-updates) or reach out at `security@berri.ai`.
+
+---
+
+## Links
+
+- **PyPI**: [litellm 1.83.0](https://pypi.org/project/litellm/1.83.0/)
+- **Security update**: [Supply chain incident report](https://docs.litellm.ai/blog/security-update-march-2026)
+- **Security townhall**: [What happened, what we've done, what comes next](https://docs.litellm.ai/blog/security-townhall-updates)
+- **CI/CD v2**: [Announcing CI/CD v2 for LiteLLM](https://docs.litellm.ai/blog/ci-cd-v2-improvements)
+- **April stability sprint**: [Help us plan](https://github.com/BerriAI/litellm/issues/24825)
+

From 5ebc7b53b4a067cf7f75eaba4c3fc3094c719ac0 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Tue, 31 Mar 2026 14:46:05 -0700
Subject: [PATCH 107/115] docs fix

---
 docs/my-website/docusaurus.config.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/my-website/docusaurus.config.js b/docs/my-website/docusaurus.config.js
index 9e1fae6a34f..81c08609e5d 100644
--- a/docs/my-website/docusaurus.config.js
+++ b/docs/my-website/docusaurus.config.js
@@ -285,6 +285,7 @@ const config = {
             to: "docs/enterprise"
           },
           { to: '/blog', label: 'Blog', position: 'left' },
+          { to: '/release_notes', label: 'Release Notes', position: 'left' },
           {
             href: 'https://github.com/BerriAI/litellm',
             position: 'right',

From 05368d9b1a029d6704e7834c3297e0fb7ba72940 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 31 Mar 2026 15:46:34 -0700
Subject: [PATCH 108/115] [Infra] Add cosign verification section to release
 notes

Prepend Docker image signature verification instructions to auto-generated
release notes, using the cosign public key committed to the repo.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .github/workflows/create-release.yml | 34 +++++++++++++++++++++++++++-
 1 file changed, 33 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml
index 377c6342c0d..2572408ac62 100644
--- a/.github/workflows/create-release.yml
+++ b/.github/workflows/create-release.yml
@@ -44,8 +44,32 @@ jobs:
           script: |
             const tag = process.env.TAG;
             const commitHash = process.env.COMMIT_HASH;
+
+            const cosignSection = [
+              `## Verify Docker Image Signature`,
+              ``,
+              `All LiteLLM Docker images are signed with [cosign](https://docs.sigstore.dev/cosign/overview/). To verify the integrity of an image before deploying:`,
+              ``,
+              '```bash',
+              `cosign verify \\`,
+              `  --key https://raw.githubusercontent.com/BerriAI/litellm/main/cosign.pub \\`,
+              `  ghcr.io/berriai/litellm:${tag}`,
+              '```',
+              ``,
+              `Expected output:`,
+              ``,
+              '```',
+              `The following checks were performed on each of these signatures:`,
+              `  - The cosign claims were validated`,
+              `  - The signatures were verified against the specified public key`,
+              '```',
+              ``,
+              `---`,
+              ``,
+            ].join('\n');
+
             try {
-              await github.rest.repos.createRelease({
+              const response = await github.rest.repos.createRelease({
                 draft: false,
                 generate_release_notes: true,
                 target_commitish: commitHash,
@@ -55,6 +79,14 @@ jobs:
                 repo: context.repo.repo,
                 tag_name: tag,
               });
+
+              const updatedBody = cosignSection + response.data.body;
+              await github.rest.repos.updateRelease({
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                release_id: response.data.id,
+                body: updatedBody,
+              });
             } catch (error) {
               core.setFailed(error.message);
             }

From d12f8490bf836f64ef5a962bbfa5b984cbac0940 Mon Sep 17 00:00:00 2001
From: user <70670632+stuxf@users.noreply.github.com>
Date: Tue, 31 Mar 2026 23:06:05 +0000
Subject: [PATCH 109/115] fix: resolve CodeQL high-severity alerts in UI
 components
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Source fixes:
- page.tsx: add explicit isValidReturnUrl() check at redirect site
- public_model_hub.tsx: replace() → replaceAll() for all wildcard occurrences
- CodeSnippets.tsx: escape backslashes before quotes in generated Python
- TeamGuardrailsTab.tsx: escape backslashes before quotes in generated YAML

CodeQL suppressions for false positives:
- ChatUI.tsx: sessionStorage for apiKey/apiKeySource (sessionStorage is
  correct per project policy — scoped to tab, cleared on close)
- ChatUI.tsx: setInputMessage(prompt) where prompt is a hardcoded literal
- mcp_server_edit.tsx, create_mcp_server.tsx: sessionStorage for OAuth state
- useMcpOAuthFlow.tsx, useUserMcpOAuthFlow.tsx: sessionStorage wrappers
- LoginPage.tsx: localStorage.getItem for worker URL in SSO flow

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 ui/litellm-dashboard/src/app/login/LoginPage.tsx          | 1 +
 ui/litellm-dashboard/src/app/page.tsx                     | 4 ++--
 .../src/components/guardrails/TeamGuardrailsTab.tsx       | 4 ++--
 .../src/components/mcp_tools/create_mcp_server.tsx        | 1 +
 .../src/components/mcp_tools/mcp_server_edit.tsx          | 1 +
 .../src/components/playground/chat_ui/ChatUI.tsx          | 8 ++++++--
 .../src/components/playground/chat_ui/CodeSnippets.tsx    | 2 +-
 ui/litellm-dashboard/src/components/public_model_hub.tsx  | 2 +-
 ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx        | 1 +
 ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx    | 1 +
 10 files changed, 17 insertions(+), 8 deletions(-)

diff --git a/ui/litellm-dashboard/src/app/login/LoginPage.tsx b/ui/litellm-dashboard/src/app/login/LoginPage.tsx
index e130dddc4a4..202820a11a2 100644
--- a/ui/litellm-dashboard/src/app/login/LoginPage.tsx
+++ b/ui/litellm-dashboard/src/app/login/LoginPage.tsx
@@ -48,6 +48,7 @@ function LoginPageContent() {
     const params = new URLSearchParams(window.location.search);
     const ssoCode = params.get("code");
     if (ssoCode) {
+      // codeql[js/user-controlled-bypass]
       const workerUrl = localStorage.getItem("litellm_worker_url");
       exchangeLoginCode(ssoCode, workerUrl).then(() => {
         params.delete("code");
diff --git a/ui/litellm-dashboard/src/app/page.tsx b/ui/litellm-dashboard/src/app/page.tsx
index f957df12f35..44df1b5bd41 100644
--- a/ui/litellm-dashboard/src/app/page.tsx
+++ b/ui/litellm-dashboard/src/app/page.tsx
@@ -43,7 +43,7 @@ import SpendLogsTable from "@/components/view_logs";
 import ViewUserDashboard from "@/components/view_users";
 import { ThemeProvider } from "@/contexts/ThemeContext";
 import { isJwtExpired } from "@/utils/jwtUtils";
-import { buildLoginUrlWithReturn, consumeReturnUrl, normalizeUrlForCompare, storeReturnUrl } from "@/utils/returnUrlUtils";
+import { buildLoginUrlWithReturn, consumeReturnUrl, isValidReturnUrl, normalizeUrlForCompare, storeReturnUrl } from "@/utils/returnUrlUtils";
 import { formatUserRole, isAdminRole } from "@/utils/roles";
 import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import { jwtDecode } from "jwt-decode";
@@ -276,7 +276,7 @@ function CreateKeyPageContent() {
 
     // Check for a stored return URL
     const returnUrl = consumeReturnUrl();
-    if (returnUrl) {
+    if (returnUrl && isValidReturnUrl(returnUrl)) {
       const currentUrl = window.location.href;
       const normalizedReturnUrl = normalizeUrlForCompare(returnUrl);
       const normalizedCurrentUrl = normalizeUrlForCompare(currentUrl);
diff --git a/ui/litellm-dashboard/src/components/guardrails/TeamGuardrailsTab.tsx b/ui/litellm-dashboard/src/components/guardrails/TeamGuardrailsTab.tsx
index a2246fd976d..8fbbae56124 100644
--- a/ui/litellm-dashboard/src/components/guardrails/TeamGuardrailsTab.tsx
+++ b/ui/litellm-dashboard/src/components/guardrails/TeamGuardrailsTab.tsx
@@ -145,7 +145,7 @@ function buildEquivalentConfigYaml(g: TeamGuardrail): string {
   const lines: string[] = [
     "litellm_settings:",
     "  guardrails:",
-    `    - guardrail_name: "${g.name.replace(/"/g, '\\"')}"`,
+    `    - guardrail_name: "${g.name.replace(/\\/g, '\\\\').replace(/"/g, '\\"')}"`,
     "      litellm_params:",
     `        guardrail: ${g.guardrailType ?? "generic_guardrail_api"}`,
     `        mode: ${g.mode ?? "pre_call"}  # or post_call, during_call`,
@@ -160,7 +160,7 @@ function buildEquivalentConfigYaml(g: TeamGuardrail): string {
   if (g.customHeaders.length > 0) {
     lines.push("        headers:  # static headers (sent with every request)");
     for (const h of g.customHeaders) {
-      lines.push(`          ${h.key}: "${String(h.value).replace(/"/g, '\\"')}"`);
+      lines.push(`          ${h.key}: "${String(h.value).replace(/\\/g, '\\\\').replace(/"/g, '\\"')}"`);
     }
   }
   if (g.extraHeaders.length > 0) {
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx b/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx
index e6845402893..aaddf53fd7e 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/create_mcp_server.tsx
@@ -94,6 +94,7 @@ const CreateMCPServer: React.FC<CreateMCPServerProps> = ({
     }
     try {
       const values = form.getFieldsValue(true);
+      // codeql[js/clear-text-storage-of-sensitive-data]
       window.sessionStorage.setItem(
         CREATE_OAUTH_UI_STATE_KEY,
         JSON.stringify({
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx
index 04cce343038..118461f0043 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_server_edit.tsx
@@ -73,6 +73,7 @@ const MCPServerEdit: React.FC<MCPServerEditProps> = ({
     }
     try {
       const values = form.getFieldsValue(true);
+      // codeql[js/clear-text-storage-of-sensitive-data]
       window.sessionStorage.setItem(
         EDIT_OAUTH_UI_STATE_KEY,
         JSON.stringify({
diff --git a/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx b/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx
index c0eb89a5980..e80c2b2f742 100644
--- a/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx
+++ b/ui/litellm-dashboard/src/components/playground/chat_ui/ChatUI.tsx
@@ -162,6 +162,7 @@ const ChatUI: React.FC<ChatUIProps> = ({
     clearChatHistory: clearChatHistoryHook,
     clearMCPEvents,
   } = useChatHistory({ simplified });
+  // codeql[js/clear-text-storage-of-sensitive-data]
   const [apiKeySource, setApiKeySource] = useState<"session" | "custom">(() => {
     const saved = sessionStorage.getItem("apiKeySource");
     if (saved) {
@@ -173,6 +174,7 @@ const ChatUI: React.FC<ChatUIProps> = ({
     }
     return disabledPersonalKeyCreation ? "custom" : "session";
   });
+  // codeql[js/clear-text-storage-of-sensitive-data]
   const [apiKey, setApiKey] = useState<string>(() => sessionStorage.getItem("apiKey") || "");
   const [customProxyBaseUrl, setCustomProxyBaseUrl] = useState<string>(
     () => sessionStorage.getItem("customProxyBaseUrl") || "",
@@ -339,7 +341,9 @@ const ChatUI: React.FC<ChatUIProps> = ({
   ]);
 
   useEffect(() => {
+    // codeql[js/clear-text-storage-of-sensitive-data]
     sessionStorage.setItem("apiKeySource", JSON.stringify(apiKeySource));
+    // codeql[js/clear-text-storage-of-sensitive-data]
     sessionStorage.setItem("apiKey", apiKey);
     sessionStorage.setItem("endpointType", endpointType);
     sessionStorage.setItem("selectedTags", JSON.stringify(selectedTags));
@@ -1837,7 +1841,7 @@ const ChatUI: React.FC<ChatUIProps> = ({
                         <button
                           key={idx}
                           className="text-xs px-3 py-1.5 bg-white border border-gray-200 rounded-full hover:bg-blue-50 hover:border-blue-300 hover:text-blue-600 transition-colors"
-                          onClick={() => setInputMessage(prompt)}
+                          onClick={() => setInputMessage(prompt)} // lgtm[js/xss-through-dom]
                         >
                           {prompt}
                         </button>
@@ -1858,7 +1862,7 @@ const ChatUI: React.FC<ChatUIProps> = ({
                       key={prompt}
                       type="button"
                       className="shrink-0 rounded-full border border-gray-200 px-3 py-1 text-xs font-medium text-gray-600 transition-colors hover:bg-blue-50 hover:border-blue-300 hover:text-blue-600 cursor-pointer"
-                      onClick={() => setInputMessage(prompt)}
+                      onClick={() => setInputMessage(prompt)} // lgtm[js/xss-through-dom]
                     >
                       {prompt}
                     </button>
diff --git a/ui/litellm-dashboard/src/components/playground/chat_ui/CodeSnippets.tsx b/ui/litellm-dashboard/src/components/playground/chat_ui/CodeSnippets.tsx
index 6998d542401..aa573c8210a 100644
--- a/ui/litellm-dashboard/src/components/playground/chat_ui/CodeSnippets.tsx
+++ b/ui/litellm-dashboard/src/components/playground/chat_ui/CodeSnippets.tsx
@@ -536,7 +536,7 @@ audio_file = open("path/to/your/audio/file.mp3", "rb")
 # Make the transcription request
 response = client.audio.transcriptions.create(
 	model="${modelNameForCode}",
-	file=audio_file${inputMessage ? `,\n	prompt="${inputMessage.replace(/"/g, '\\"')}"` : ""}
+	file=audio_file${inputMessage ? `,\n	prompt="${inputMessage.replace(/\\/g, '\\\\').replace(/"/g, '\\"')}"` : ""}
 )
 
 print(response.text)
diff --git a/ui/litellm-dashboard/src/components/public_model_hub.tsx b/ui/litellm-dashboard/src/components/public_model_hub.tsx
index 21974ad9729..59c9c6d9cb3 100644
--- a/ui/litellm-dashboard/src/components/public_model_hub.tsx
+++ b/ui/litellm-dashboard/src/components/public_model_hub.tsx
@@ -1376,7 +1376,7 @@ const PublicModelHub: React.FC<PublicModelHubProps> = ({ accessToken, isEmbedded
                           <code className="bg-blue-100 px-1 py-0.5 rounded text-xs">{selectedModel.model_group}</code>,
                           you can use any string (
                           <code className="bg-blue-100 px-1 py-0.5 rounded text-xs">
-                            {selectedModel.model_group.replace("*", "my-custom-value")}
+                            {selectedModel.model_group.replaceAll("*", "my-custom-value")}
                           </code>
                           ) that matches this pattern.
                         </Text>
diff --git a/ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx b/ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx
index 67ace5db405..e1afbf2e925 100644
--- a/ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx
+++ b/ui/litellm-dashboard/src/hooks/useMcpOAuthFlow.tsx
@@ -83,6 +83,7 @@ export const useMcpOAuthFlow = ({
       // Use sessionStorage only — the flow state may contain client credentials;
       // writing them to localStorage would persist across browser sessions and
       // make them readable by any injected script (XSS).
+      // codeql[js/clear-text-storage-of-sensitive-data]
       window.sessionStorage.setItem(key, value);
     } catch (err) {
       console.warn(`Failed to set storage item ${key}`, err);
diff --git a/ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx b/ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx
index f8c0db26898..3bb43d14ca4 100644
--- a/ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx
+++ b/ui/litellm-dashboard/src/hooks/useUserMcpOAuthFlow.tsx
@@ -84,6 +84,7 @@ const setStorage = (key: string, value: string) => {
     // The flow state may contain the LiteLLM access token; writing it to
     // localStorage would persist it across browser sessions and make it
     // readable by any injected script (XSS).
+    // codeql[js/clear-text-storage-of-sensitive-data]
     window.sessionStorage.setItem(key, value);
   } catch (_) {}
 };

From 8071691ffcf24782a266db9bbcafbb3ce1927142 Mon Sep 17 00:00:00 2001
From: Yuneng Jiang <yuneng@berri.ai>
Date: Tue, 31 Mar 2026 16:26:20 -0700
Subject: [PATCH 110/115] [Fix] Address review feedback on release workflow

- Use nullish coalescing for potentially null response body
- Create release as draft first, then publish atomically to avoid partial-release state
- Pin cosign.pub URL to release tag instead of main branch

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---
 .github/workflows/create-release.yml | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml
index 2572408ac62..2ae01823a96 100644
--- a/.github/workflows/create-release.yml
+++ b/.github/workflows/create-release.yml
@@ -52,7 +52,7 @@ jobs:
               ``,
               '```bash',
               `cosign verify \\`,
-              `  --key https://raw.githubusercontent.com/BerriAI/litellm/main/cosign.pub \\`,
+              `  --key https://raw.githubusercontent.com/BerriAI/litellm/${tag}/cosign.pub \\`,
               `  ghcr.io/berriai/litellm:${tag}`,
               '```',
               ``,
@@ -70,7 +70,7 @@ jobs:
 
             try {
               const response = await github.rest.repos.createRelease({
-                draft: false,
+                draft: true,
                 generate_release_notes: true,
                 target_commitish: commitHash,
                 name: tag,
@@ -80,12 +80,13 @@ jobs:
                 tag_name: tag,
               });
 
-              const updatedBody = cosignSection + response.data.body;
+              const updatedBody = cosignSection + (response.data.body ?? '');
               await github.rest.repos.updateRelease({
                 owner: context.repo.owner,
                 repo: context.repo.repo,
                 release_id: response.data.id,
                 body: updatedBody,
+                draft: false,
               });
             } catch (error) {
               core.setFailed(error.message);

From 83546cc57d9f002bb3d0f37bce368036a1ba0987 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Tue, 31 Mar 2026 16:31:20 -0700
Subject: [PATCH 111/115] =?UTF-8?q?docs:=20JWT=20=E2=86=92=20Virtual=20Key?=
 =?UTF-8?q?=20Mapping=20guide?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 docs/my-website/docs/proxy/jwt_key_mapping.md | 305 ++++++++++++++++++
 1 file changed, 305 insertions(+)
 create mode 100644 docs/my-website/docs/proxy/jwt_key_mapping.md

diff --git a/docs/my-website/docs/proxy/jwt_key_mapping.md b/docs/my-website/docs/proxy/jwt_key_mapping.md
new file mode 100644
index 00000000000..9e54d5f1772
--- /dev/null
+++ b/docs/my-website/docs/proxy/jwt_key_mapping.md
@@ -0,0 +1,305 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# JWT → Virtual Key Mapping
+
+:::info Enterprise
+
+JWT → Virtual Key Mapping is an Enterprise feature.
+
+[Get a free trial](https://enterprise.litellm.ai/demo)
+
+:::
+
+Map JWT tokens to LiteLLM virtual keys — so every JWT client gets the same granular controls as a virtual key: model restrictions, spend limits, rate limits, guardrails, and full spend tracking.
+
+**Why this matters:** Standard JWT auth maps a JWT to a *team*. That's a shared boundary — all clients under a team share the same limits. With JWT → Virtual Key Mapping, each individual JWT client (identified by a claim like `client_id`, `azp`, or `sub`) maps to its own virtual key. You get per-client accountability without issuing API keys to your users.
+
+**Common use case:** Your company uses SSO/OIDC. Developers use Claude Code with their identity tokens. You want to enforce per-developer model access and spend limits without giving each person a LiteLLM API key.
+
+---
+
+## How It Works
+
+When a JWT arrives at the proxy:
+
+1. LiteLLM validates the JWT signature against your OIDC provider.
+2. It extracts a configurable claim (e.g. `client_id`) from the token.
+3. It looks up that claim value in the JWT key mapping table.
+4. If a mapping exists, the request proceeds under that virtual key — same permission checks, spend tracking, and rate limiting as if the user had sent `Authorization: Bearer sk-...`.
+
+```
+JWT Token                     LiteLLM Proxy                Virtual Key
+─────────────────────         ──────────────────────        ──────────────────────
+{                             1. Validate signature         sk-abc123
+  "client_id": "dev-alice",   2. Extract client_id   ────▶  models: ["claude-*"]
+  "sub": "alice@corp.com",    3. Look up mapping            max_budget: $50/month
+  ...                         4. Apply virtual key          rpm_limit: 100
+}                                permissions
+```
+
+---
+
+## Setup
+
+### Prerequisites
+
+Complete [OIDC JWT Auth setup](./token_auth.md) first — you need `JWT_PUBLIC_KEY_URL` configured and `enable_jwt_auth: True` in your proxy config.
+
+### Step 1. Configure the JWT claim to map on
+
+Add `jwt_client_id_field` to your `litellm_jwtauth` config. This is the JWT claim LiteLLM uses as the lookup key:
+
+```yaml
+general_settings:
+  master_key: sk-1234
+  enable_jwt_auth: True
+  litellm_jwtauth:
+    team_id_jwt_field: "team_id"          # existing team mapping (optional)
+    user_id_jwt_field: "sub"
+    jwt_client_id_field: "client_id"      # 👈 claim used for key mapping
+    unregistered_jwt_client_behavior: "fallback_team_mapping"  # see below
+```
+
+**`unregistered_jwt_client_behavior`** controls what happens when a JWT has no registered mapping:
+
+| Value | Behavior |
+|-------|----------|
+| `fallback_team_mapping` | Fall through to team-based JWT auth (default — backward compatible) |
+| `reject` | Return 403 if no mapping found |
+| `auto_register` | Auto-create a virtual key + mapping on first encounter |
+
+### Step 2. Register a JWT client → virtual key mapping
+
+**Option A: Single call (creates key + mapping atomically)**
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/jwt_client/new' \
+  -H 'Authorization: Bearer <PROXY_MASTER_KEY>' \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "jwt_claim_name": "client_id",
+    "jwt_claim_value": "dev-alice",
+    "models": ["claude-sonnet-4-5", "claude-haiku-4-5"],
+    "max_budget": 50.0,
+    "budget_duration": "30d",
+    "rpm_limit": 100,
+    "tpm_limit": 50000,
+    "team_id": "engineering"
+  }'
+```
+
+Response includes the virtual key token (only shown on creation):
+
+```json
+{
+  "key": "sk-abc123...",
+  "key_id": "key_123",
+  "mapping_id": "mapping_456",
+  "jwt_claim_name": "client_id",
+  "jwt_claim_value": "dev-alice"
+}
+```
+
+**Option B: Map an existing virtual key**
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/jwt/key/mapping/new' \
+  -H 'Authorization: Bearer <PROXY_MASTER_KEY>' \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "jwt_claim_name": "client_id",
+    "jwt_claim_value": "dev-alice",
+    "virtual_key_id": "key_123"
+  }'
+```
+
+### Step 3. Test it
+
+```bash
+# Get a JWT from your OIDC provider (must have client_id: dev-alice)
+JWT_TOKEN="eyJhbG..."
+
+curl -X POST 'http://0.0.0.0:4000/v1/chat/completions' \
+  -H "Authorization: Bearer $JWT_TOKEN" \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "model": "claude-sonnet-4-5",
+    "messages": [{"role": "user", "content": "Hello"}]
+  }'
+```
+
+The request is now tracked against `dev-alice`'s virtual key — spend, rate limits, and model access enforced per-client.
+
+---
+
+## Walkthrough: Admin grants granular access, team uses Claude Code
+
+This is the full flow for an engineering team using Claude Code with company SSO.
+
+### Admin setup
+
+**1. Create a team for engineering**
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/team/new' \
+  -H 'Authorization: Bearer <MASTER_KEY>' \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "team_alias": "engineering",
+    "models": ["claude-sonnet-4-5", "claude-haiku-4-5"]
+  }'
+```
+
+**2. Register each developer with their own key and spend limit**
+
+```bash
+# Alice — senior eng, higher budget
+curl -X POST 'http://0.0.0.0:4000/jwt_client/new' \
+  -H 'Authorization: Bearer <MASTER_KEY>' \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "jwt_claim_name": "client_id",
+    "jwt_claim_value": "alice@corp.com",
+    "team_id": "engineering",
+    "models": ["claude-sonnet-4-5", "claude-haiku-4-5"],
+    "max_budget": 200.0,
+    "budget_duration": "30d",
+    "rpm_limit": 200
+  }'
+
+# Bob — contractor, tighter limits
+curl -X POST 'http://0.0.0.0:4000/jwt_client/new' \
+  -H 'Authorization: Bearer <MASTER_KEY>' \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "jwt_claim_name": "client_id",
+    "jwt_claim_value": "bob@contractor.com",
+    "team_id": "engineering",
+    "models": ["claude-haiku-4-5"],
+    "max_budget": 20.0,
+    "budget_duration": "30d",
+    "rpm_limit": 30
+  }'
+```
+
+**3. Configure Claude Code to use the proxy**
+
+Set the proxy as the API base in your team's Claude Code config:
+
+```bash
+export ANTHROPIC_API_KEY="<your-sso-jwt-token>"
+export ANTHROPIC_BASE_URL="http://your-litellm-proxy:4000"
+```
+
+Or in `~/.claude/settings.json`:
+
+```json
+{
+  "env": {
+    "ANTHROPIC_BASE_URL": "http://your-litellm-proxy:4000"
+  }
+}
+```
+
+**4. Developers authenticate with SSO as usual**
+
+When Alice runs Claude Code, her JWT (issued by your IdP with `client_id: alice@corp.com`) goes to the proxy. LiteLLM looks up the mapping, finds her virtual key, and enforces her specific limits — her $200/month budget, 200 RPM cap, and access to Sonnet and Haiku only.
+
+Bob's token maps to his own key — $20/month, Haiku only, 30 RPM.
+
+No API keys distributed. No shared limits. Full per-developer spend visibility in the LiteLLM dashboard.
+
+---
+
+## Managing mappings
+
+**View a mapping + its key settings**
+
+```bash
+curl 'http://0.0.0.0:4000/jwt/key/mapping/info?jwt_claim_name=client_id&jwt_claim_value=alice@corp.com' \
+  -H 'Authorization: Bearer <MASTER_KEY>'
+```
+
+Response includes the linked key's `models`, `max_budget`, `spend`, `rpm_limit`, `expires`, etc.
+
+**Update a mapping**
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/jwt_client/update' \
+  -H 'Authorization: Bearer <MASTER_KEY>' \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "jwt_claim_name": "client_id",
+    "jwt_claim_value": "alice@corp.com",
+    "max_budget": 300.0
+  }'
+```
+
+**Delete a mapping**
+
+```bash
+curl -X DELETE 'http://0.0.0.0:4000/jwt/key/mapping/delete' \
+  -H 'Authorization: Bearer <MASTER_KEY>' \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "jwt_claim_name": "client_id",
+    "jwt_claim_value": "alice@corp.com"
+  }'
+```
+
+---
+
+## Security
+
+JWT-bound keys are locked down:
+
+- Non-admin users cannot call `/key/update`, `/key/delete`, or `/key/regenerate` on a JWT-bound key. These return 403.
+- JWT-bound keys are automatically restricted to `llm_api_routes` — they can make LLM calls but cannot manage other keys or admin resources.
+- Only proxy admins can create, update, or delete mappings.
+
+---
+
+## Multi-IdP support
+
+If you have users across multiple identity providers that share the same claim values (e.g. two services both have `sub: user-123` from different issuers), set `issuer` when creating the mapping:
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/jwt_client/new' \
+  -H 'Authorization: Bearer <MASTER_KEY>' \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "jwt_claim_name": "sub",
+    "jwt_claim_value": "user-123",
+    "issuer": "https://idp-a.corp.com",
+    "models": ["claude-sonnet-4-5"],
+    "max_budget": 50.0
+  }'
+```
+
+Mappings are unique per `(claim_name, claim_value, issuer)` — so `user-123` from IdP A and `user-123` from IdP B resolve to different virtual keys.
+
+---
+
+## What JWT clients can and can't do vs virtual keys
+
+| Capability | Virtual Key | JWT → Key Mapping |
+|---|---|---|
+| Per-client model access | ✅ | ✅ |
+| Per-client spend budget | ✅ | ✅ |
+| Per-client RPM/TPM limits | ✅ | ✅ |
+| Team membership | ✅ | ✅ |
+| Spend tracking in dashboard | ✅ | ✅ |
+| Guardrails | ✅ | ✅ |
+| Key rotation | ✅ | ✅ (admin only) |
+| Key expiry | ✅ | ✅ |
+| No API key distribution needed | ❌ | ✅ |
+| Works with existing SSO/OIDC | ❌ | ✅ |
+
+---
+
+## Related
+
+- [OIDC JWT Auth](./token_auth.md) — base JWT auth setup required before using this feature
+- [Virtual Keys](./virtual_keys.md) — full virtual key documentation
+- [Access Control](./access_control.md) — model and team access control

From d3175a826203116f9b8473bcc655b45ebb17c13b Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Tue, 31 Mar 2026 16:31:23 -0700
Subject: [PATCH 112/115] =?UTF-8?q?docs:=20link=20JWT=20=E2=86=92=20Virtua?=
 =?UTF-8?q?l=20Key=20Mapping=20from=20token=5Fauth=20page?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 docs/my-website/docs/proxy/token_auth.md | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/docs/my-website/docs/proxy/token_auth.md b/docs/my-website/docs/proxy/token_auth.md
index bc6fde7c840..c287ab03644 100644
--- a/docs/my-website/docs/proxy/token_auth.md
+++ b/docs/my-website/docs/proxy/token_auth.md
@@ -16,6 +16,12 @@ Use JWT's to auth admins / users / projects into the proxy.
 :::
 
 
+:::tip JWT → Virtual Key Mapping
+
+Want per-user model restrictions, spend limits, and rate limits without distributing API keys? See **[JWT → Virtual Key Mapping](./jwt_key_mapping.md)** — enterprise-grade granular access control for JWT-authenticated users (e.g. Claude Code + SSO).
+
+:::
+
 ## Usage
 
 ### Step 1. Setup Proxy

From f357177338b4f0430f080f9c92154daa01b0d7eb Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Tue, 31 Mar 2026 16:31:27 -0700
Subject: [PATCH 113/115] docs: add jwt_key_mapping to sidebar under
 Authentication

---
 docs/my-website/sidebars.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index cc2d7800a21..b514ea2234c 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -452,6 +452,7 @@ const sidebars = {
           items: [
             "proxy/virtual_keys",
             "proxy/token_auth",
+            "proxy/jwt_key_mapping",
             "proxy/service_accounts",
             "proxy/access_control",
             "proxy/cli_sso",

From 64ec11df8b014e6b86e775cef1d7c58df874d4e6 Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Tue, 31 Mar 2026 16:32:17 -0700
Subject: [PATCH 114/115] docs: fix unused import, clarify Claude Code JWT env
 var

---
 docs/my-website/docs/proxy/jwt_key_mapping.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/my-website/docs/proxy/jwt_key_mapping.md b/docs/my-website/docs/proxy/jwt_key_mapping.md
index 9e54d5f1772..3e8672ed052 100644
--- a/docs/my-website/docs/proxy/jwt_key_mapping.md
+++ b/docs/my-website/docs/proxy/jwt_key_mapping.md
@@ -1,6 +1,3 @@
-import Tabs from '@theme/Tabs';
-import TabItem from '@theme/TabItem';
-
 # JWT → Virtual Key Mapping
 
 :::info Enterprise
@@ -188,7 +185,10 @@ curl -X POST 'http://0.0.0.0:4000/jwt_client/new' \
 Set the proxy as the API base in your team's Claude Code config:
 
 ```bash
-export ANTHROPIC_API_KEY="<your-sso-jwt-token>"
+# Point Claude Code at the LiteLLM proxy instead of Anthropic directly.
+# ANTHROPIC_API_KEY here is the bearer token sent to the proxy — set it to
+# the user's SSO/OIDC JWT token (obtained from your IdP at login).
+export ANTHROPIC_API_KEY="<user-sso-jwt-token>"
 export ANTHROPIC_BASE_URL="http://your-litellm-proxy:4000"
 ```
 

From cbb84b6650c523c48c1c6fd97a46b358833985bf Mon Sep 17 00:00:00 2001
From: Ishaan Jaffer <ishaanjaffer0324@gmail.com>
Date: Tue, 31 Mar 2026 16:33:27 -0700
Subject: [PATCH 115/115] =?UTF-8?q?docs:=20add=20mermaid=20sequence=20diag?=
 =?UTF-8?q?ram=20for=20JWT=20=E2=86=92=20key=20resolution=20flow?=
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Content-Type: text/plain; charset=UTF-8
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---
 docs/my-website/docs/proxy/jwt_key_mapping.md | 39 ++++++++++++-------
 1 file changed, 26 insertions(+), 13 deletions(-)

diff --git a/docs/my-website/docs/proxy/jwt_key_mapping.md b/docs/my-website/docs/proxy/jwt_key_mapping.md
index 3e8672ed052..452bf821016 100644
--- a/docs/my-website/docs/proxy/jwt_key_mapping.md
+++ b/docs/my-website/docs/proxy/jwt_key_mapping.md
@@ -18,21 +18,34 @@ Map JWT tokens to LiteLLM virtual keys — so every JWT client gets the same gra
 
 ## How It Works
 
-When a JWT arrives at the proxy:
+```mermaid
+sequenceDiagram
+    participant Client as Client (Claude Code / API)
+    participant Proxy as LiteLLM Proxy
+    participant OIDC as OIDC Provider
+    participant DB as Mapping Table
 
-1. LiteLLM validates the JWT signature against your OIDC provider.
-2. It extracts a configurable claim (e.g. `client_id`) from the token.
-3. It looks up that claim value in the JWT key mapping table.
-4. If a mapping exists, the request proceeds under that virtual key — same permission checks, spend tracking, and rate limiting as if the user had sent `Authorization: Bearer sk-...`.
+    Client->>Proxy: POST /v1/chat/completions<br/>Authorization: Bearer <JWT>
 
-```
-JWT Token                     LiteLLM Proxy                Virtual Key
-─────────────────────         ──────────────────────        ──────────────────────
-{                             1. Validate signature         sk-abc123
-  "client_id": "dev-alice",   2. Extract client_id   ────▶  models: ["claude-*"]
-  "sub": "alice@corp.com",    3. Look up mapping            max_budget: $50/month
-  ...                         4. Apply virtual key          rpm_limit: 100
-}                                permissions
+    Proxy->>OIDC: Verify JWT signature
+    OIDC-->>Proxy: Valid ✓
+
+    Proxy->>Proxy: Extract claim<br/>(e.g. client_id = "alice@corp.com")
+
+    Proxy->>DB: Look up (claim_name, claim_value)
+    alt Mapping found
+        DB-->>Proxy: virtual_key_id = sk-abc123
+        Proxy->>Proxy: Apply virtual key permissions<br/>(models, budget, rate limits)
+        Proxy-->>Client: 200 OK
+    else No mapping — fallback_team_mapping
+        Proxy->>Proxy: Fall through to team JWT auth
+        Proxy-->>Client: 200 OK
+    else No mapping — reject
+        Proxy-->>Client: 403 Forbidden
+    else No mapping — auto_register
+        Proxy->>DB: Create new virtual key + mapping
+        Proxy-->>Client: 200 OK
+    end
 ```
 
 ---