From 30027d2928ce1a5aeef8f70b3116b961961aac80 Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng.jiang@gmail.com>
Date: Tue, 3 Feb 2026 20:26:57 -0800
Subject: [PATCH 01/21] save empty endpoint as string

---
 litellm/proxy/db/db_spend_update_writer.py                 | 2 +-
 tests/test_litellm/proxy/db/test_db_spend_update_writer.py | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index 429e56c805b..a6004813ba2 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -1227,7 +1227,7 @@ class DBSpendUpdateWriter:
                                 "custom_llm_provider": transaction.get(
                                     "custom_llm_provider"
                                 ),
-                                "endpoint": transaction.get("endpoint"),
+                                "endpoint": transaction.get("endpoint") or "",
                                 "prompt_tokens": transaction["prompt_tokens"],
                                 "completion_tokens": transaction["completion_tokens"],
                                 "spend": transaction["spend"],
diff --git a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
index 72403b0ba7b..4c5bb6a9479 100644
--- a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
+++ b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
@@ -132,7 +132,7 @@ async def test_update_daily_spend_with_null_entity_id():
     assert create_data["model"] == "gpt-4"
     assert create_data["custom_llm_provider"] == "openai"
     assert create_data["mcp_namespaced_tool_name"] == ""
-    assert create_data["endpoint"] is None
+    assert create_data["endpoint"] == ""
     assert create_data["prompt_tokens"] == 10
     assert create_data["completion_tokens"] == 20
     assert create_data["spend"] == 0.1
@@ -194,7 +194,7 @@ async def test_update_daily_spend_sorting():
                     "model_group": None,
                     "mcp_namespaced_tool_name": "",
                     "custom_llm_provider": "openai",
-                    "endpoint": None,
+                    "endpoint": "",
                     "prompt_tokens": 10,
                     "completion_tokens": 20,
                     "spend": 0.1,

From 9ce55057ab2d9862440e8970a4de6d7cfb51fa44 Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng.jiang@gmail.com>
Date: Tue, 3 Feb 2026 20:54:40 -0800
Subject: [PATCH 02/21] Adding logging for when batching fails

---
 litellm/proxy/db/db_spend_update_writer.py    | 203 +++++++++---------
 .../proxy/db/test_db_spend_update_writer.py   | 124 ++++++++++-
 2 files changed, 230 insertions(+), 97 deletions(-)

diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py
index a6004813ba2..dc928921425 100644
--- a/litellm/proxy/db/db_spend_update_writer.py
+++ b/litellm/proxy/db/db_spend_update_writer.py
@@ -1187,119 +1187,130 @@ class DBSpendUpdateWriter:
                         )
                         break
 
-                    async with prisma_client.db.batch_() as batcher:
-                        for _, transaction in transactions_to_process.items():
-                            entity_id = transaction.get(entity_id_field)
+                    try:
+                        async with prisma_client.db.batch_() as batcher:
+                            for _, transaction in transactions_to_process.items():
+                                entity_id = transaction.get(entity_id_field)
 
-                            # Construct the where clause dynamically
-                            where_clause = {
-                                unique_constraint_name: {
+                                # Construct the where clause dynamically
+                                where_clause = {
+                                    unique_constraint_name: {
+                                        entity_id_field: entity_id,
+                                        "date": transaction["date"],
+                                        "api_key": transaction["api_key"],
+                                        "model": transaction["model"],
+                                        "custom_llm_provider": transaction.get(
+                                            "custom_llm_provider"
+                                        )
+                                        or "",
+                                        "mcp_namespaced_tool_name": transaction.get(
+                                            "mcp_namespaced_tool_name"
+                                        )
+                                        or "",
+                                        "endpoint": transaction.get("endpoint") or "",
+                                    }
+                                }
+
+                                # Get the table dynamically
+                                table = getattr(batcher, table_name)
+
+                                # Common data structure for both create and update
+                                common_data = {
                                     entity_id_field: entity_id,
                                     "date": transaction["date"],
                                     "api_key": transaction["api_key"],
-                                    "model": transaction["model"],
-                                    "custom_llm_provider": transaction.get(
-                                        "custom_llm_provider"
-                                    )
-                                    or "",
+                                    "model": transaction.get("model"),
+                                    "model_group": transaction.get("model_group"),
                                     "mcp_namespaced_tool_name": transaction.get(
                                         "mcp_namespaced_tool_name"
                                     )
                                     or "",
+                                    "custom_llm_provider": transaction.get(
+                                        "custom_llm_provider"
+                                    ),
                                     "endpoint": transaction.get("endpoint") or "",
+                                    "prompt_tokens": transaction["prompt_tokens"],
+                                    "completion_tokens": transaction["completion_tokens"],
+                                    "spend": transaction["spend"],
+                                    "api_requests": transaction["api_requests"],
+                                    "successful_requests": transaction[
+                                        "successful_requests"
+                                    ],
+                                    "failed_requests": transaction["failed_requests"],
                                 }
-                            }
 
-                            # Get the table dynamically
-                            table = getattr(batcher, table_name)
-
-                            # Common data structure for both create and update
-                            common_data = {
-                                entity_id_field: entity_id,
-                                "date": transaction["date"],
-                                "api_key": transaction["api_key"],
-                                "model": transaction.get("model"),
-                                "model_group": transaction.get("model_group"),
-                                "mcp_namespaced_tool_name": transaction.get(
-                                    "mcp_namespaced_tool_name"
-                                )
-                                or "",
-                                "custom_llm_provider": transaction.get(
-                                    "custom_llm_provider"
-                                ),
-                                "endpoint": transaction.get("endpoint") or "",
-                                "prompt_tokens": transaction["prompt_tokens"],
-                                "completion_tokens": transaction["completion_tokens"],
-                                "spend": transaction["spend"],
-                                "api_requests": transaction["api_requests"],
-                                "successful_requests": transaction[
-                                    "successful_requests"
-                                ],
-                                "failed_requests": transaction["failed_requests"],
-                            }
-
-                            # Add cache-related fields if they exist
-                            if "cache_read_input_tokens" in transaction:
-                                common_data["cache_read_input_tokens"] = (
-                                    transaction.get("cache_read_input_tokens", 0)
-                                )
-                            if "cache_creation_input_tokens" in transaction:
-                                common_data["cache_creation_input_tokens"] = (
-                                    transaction.get("cache_creation_input_tokens", 0)
-                                )
-
-                            if entity_type == "tag" and "request_id" in transaction:
-                                common_data["request_id"] = transaction.get(
-                                    "request_id"
-                                )
-
-                            # Create update data structure
-                            update_data = {
-                                "prompt_tokens": {
-                                    "increment": transaction["prompt_tokens"]
-                                },
-                                "completion_tokens": {
-                                    "increment": transaction["completion_tokens"]
-                                },
-                                "spend": {"increment": transaction["spend"]},
-                                "api_requests": {
-                                    "increment": transaction["api_requests"]
-                                },
-                                "successful_requests": {
-                                    "increment": transaction["successful_requests"]
-                                },
-                                "failed_requests": {
-                                    "increment": transaction["failed_requests"]
-                                },
-                            }
-
-                            # Add cache-related fields to update if they exist
-                            if "cache_read_input_tokens" in transaction:
-                                update_data["cache_read_input_tokens"] = {
-                                    "increment": transaction.get(
-                                        "cache_read_input_tokens", 0
+                                # Add cache-related fields if they exist
+                                if "cache_read_input_tokens" in transaction:
+                                    common_data["cache_read_input_tokens"] = (
+                                        transaction.get("cache_read_input_tokens", 0)
                                     )
-                                }
-                            if "cache_creation_input_tokens" in transaction:
-                                update_data["cache_creation_input_tokens"] = {
-                                    "increment": transaction.get(
-                                        "cache_creation_input_tokens", 0
+                                if "cache_creation_input_tokens" in transaction:
+                                    common_data["cache_creation_input_tokens"] = (
+                                        transaction.get("cache_creation_input_tokens", 0)
                                     )
+
+                                if entity_type == "tag" and "request_id" in transaction:
+                                    common_data["request_id"] = transaction.get(
+                                        "request_id"
+                                    )
+
+                                # Create update data structure
+                                update_data = {
+                                    "prompt_tokens": {
+                                        "increment": transaction["prompt_tokens"]
+                                    },
+                                    "completion_tokens": {
+                                        "increment": transaction["completion_tokens"]
+                                    },
+                                    "spend": {"increment": transaction["spend"]},
+                                    "api_requests": {
+                                        "increment": transaction["api_requests"]
+                                    },
+                                    "successful_requests": {
+                                        "increment": transaction["successful_requests"]
+                                    },
+                                    "failed_requests": {
+                                        "increment": transaction["failed_requests"]
+                                    },
                                 }
 
-                            if entity_type == "tag" and "request_id" in transaction:
-                                update_data["request_id"] = transaction.get("request_id")
+                                # Add cache-related fields to update if they exist
+                                if "cache_read_input_tokens" in transaction:
+                                    update_data["cache_read_input_tokens"] = {
+                                        "increment": transaction.get(
+                                            "cache_read_input_tokens", 0
+                                        )
+                                    }
+                                if "cache_creation_input_tokens" in transaction:
+                                    update_data["cache_creation_input_tokens"] = {
+                                        "increment": transaction.get(
+                                            "cache_creation_input_tokens", 0
+                                        )
+                                    }
 
-                            # Add endpoint to update_data so existing rows get their endpoint field updated
-                            update_data["endpoint"] = transaction.get("endpoint") or ""
+                                if entity_type == "tag" and "request_id" in transaction:
+                                    update_data["request_id"] = transaction.get("request_id")
 
-                            table.upsert(
-                                where=where_clause,
-                                data={
-                                    "create": common_data,
-                                    "update": update_data,
-                                },
-                            )
+                                # Add endpoint to update_data so existing rows get their endpoint field updated
+                                update_data["endpoint"] = transaction.get("endpoint") or ""
+
+                                table.upsert(
+                                    where=where_clause,
+                                    data={
+                                        "create": common_data,
+                                        "update": update_data,
+                                    },
+                                )
+                    except Exception as batch_error:
+                        # Log detailed error information for debugging batch upsert failures
+                        # This helps diagnose issues like unique constraint violations
+                        verbose_proxy_logger.exception(
+                            f"Daily {entity_type} spend batch upsert failed. "
+                            f"Table: {table_name}, Constraint: {unique_constraint_name}, "
+                            f"Batch size: {len(transactions_to_process)}, "
+                            f"Error: {str(batch_error)}"
+                        )
+                        raise
 
                     verbose_proxy_logger.debug(
                         f"Processed {len(transactions_to_process)} daily {entity_type} transactions in {time.time() - start_time:.2f}s"
diff --git a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
index 4c5bb6a9479..6ccecf59eed 100644
--- a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
+++ b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py
@@ -838,4 +838,126 @@ async def test_endpoint_field_is_correctly_mapped_from_call_type():
         assert transaction["date"] == "2024-01-01"
         assert transaction["api_key"] == "test-key"
         assert transaction["model"] == "gpt-4"
-        assert transaction["custom_llm_provider"] == "openai"
\ No newline at end of file
+        assert transaction["custom_llm_provider"] == "openai"
+
+
+@pytest.mark.asyncio
+async def test_update_daily_spend_logs_detailed_error_on_batch_upsert_failure():
+    """
+    Test that when batch upsert fails, detailed error information is logged.
+    This ensures proper debugging information is available for issues like unique constraint violations.
+    """
+    from litellm._logging import verbose_proxy_logger
+    
+    # Setup
+    mock_prisma_client = MagicMock()
+    mock_batcher = MagicMock()
+    mock_table = MagicMock()
+    mock_batch_context = MagicMock()
+    mock_batch_context.__aenter__ = AsyncMock(return_value=mock_batcher)
+    mock_batcher.litellm_dailyuserspend = mock_table
+    
+    # Make the batch context manager's exit raise an exception
+    # This simulates a batch commit failure (e.g., unique constraint violation)
+    test_exception = Exception("Unique constraint violation")
+    mock_batch_context.__aexit__ = AsyncMock(side_effect=test_exception)
+    mock_prisma_client.db.batch_.return_value = mock_batch_context
+    
+    # Create a transaction
+    daily_spend_transactions = {
+        "test_key": {
+            "user_id": "test-user",
+            "date": "2024-01-01",
+            "api_key": "test-api-key",
+            "model": "gpt-4",
+            "custom_llm_provider": "openai",
+            "prompt_tokens": 10,
+            "completion_tokens": 20,
+            "spend": 0.1,
+            "api_requests": 1,
+            "successful_requests": 1,
+            "failed_requests": 0,
+        }
+    }
+    
+    # Create a mock proxy_logging_obj with failure_handler as AsyncMock
+    mock_proxy_logging = MagicMock()
+    mock_proxy_logging.failure_handler = AsyncMock()
+    
+    # Mock the logger to capture exception calls
+    with patch.object(verbose_proxy_logger, 'exception') as mock_exception_logger:
+        # Call the method and expect it to raise the exception
+        with pytest.raises(Exception, match="Unique constraint violation"):
+            await DBSpendUpdateWriter._update_daily_spend(
+                n_retry_times=0,  # No retries to make test faster
+                prisma_client=mock_prisma_client,
+                proxy_logging_obj=mock_proxy_logging,
+                daily_spend_transactions=daily_spend_transactions,
+                entity_type="user",
+                entity_id_field="user_id",
+                table_name="litellm_dailyuserspend",
+                unique_constraint_name="user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint",
+            )
+        
+        # Verify that exception was logged with detailed information
+        assert mock_exception_logger.called
+        call_args = mock_exception_logger.call_args[0][0]
+        assert "Daily user spend batch upsert failed" in call_args
+        assert "Table: litellm_dailyuserspend" in call_args
+        assert "Constraint: user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint" in call_args
+        assert "Batch size: 1" in call_args
+        assert "Unique constraint violation" in call_args
+
+
+@pytest.mark.asyncio
+async def test_update_daily_spend_re_raises_exception_after_logging():
+    """
+    Test that when batch upsert fails, the exception is properly re-raised after logging.
+    This ensures that error handling continues to work correctly upstream.
+    """
+    # Setup
+    mock_prisma_client = MagicMock()
+    mock_batcher = MagicMock()
+    mock_table = MagicMock()
+    mock_batch_context = MagicMock()
+    mock_batch_context.__aenter__ = AsyncMock(return_value=mock_batcher)
+    mock_batcher.litellm_dailyuserspend = mock_table
+    
+    # Create a transaction
+    daily_spend_transactions = {
+        "test_key": {
+            "user_id": "test-user",
+            "date": "2024-01-01",
+            "api_key": "test-api-key",
+            "model": "gpt-4",
+            "custom_llm_provider": "openai",
+            "prompt_tokens": 10,
+            "completion_tokens": 20,
+            "spend": 0.1,
+            "api_requests": 1,
+            "successful_requests": 1,
+            "failed_requests": 0,
+        }
+    }
+    
+    # Create a custom exception to verify it's re-raised
+    custom_exception = ValueError("Database connection lost")
+    mock_batch_context.__aexit__ = AsyncMock(side_effect=custom_exception)
+    mock_prisma_client.db.batch_.return_value = mock_batch_context
+    
+    # Create a mock proxy_logging_obj with failure_handler as AsyncMock
+    mock_proxy_logging = MagicMock()
+    mock_proxy_logging.failure_handler = AsyncMock()
+    
+    # Verify the exception is re-raised
+    with pytest.raises(ValueError, match="Database connection lost"):
+        await DBSpendUpdateWriter._update_daily_spend(
+            n_retry_times=0,  # No retries to make test faster
+            prisma_client=mock_prisma_client,
+            proxy_logging_obj=mock_proxy_logging,
+            daily_spend_transactions=daily_spend_transactions,
+            entity_type="user",
+            entity_id_field="user_id",
+            table_name="litellm_dailyuserspend",
+            unique_constraint_name="user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint",
+        )
\ No newline at end of file

From 208cf5e86d8f86d0e2087fe21ac74d5051d5bf79 Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng.jiang@gmail.com>
Date: Wed, 4 Feb 2026 11:53:03 -0800
Subject: [PATCH 03/21] refactor - rename search tools files

---
 ui/litellm-dashboard/src/app/page.tsx                |  2 +-
 .../CreateSearchTools.tsx}                           | 12 ++++++------
 .../SearchConnectionTest.tsx}                        |  0
 .../SearchToolColumn.tsx}                            |  0
 .../SearchToolTester.tsx}                            |  0
 .../SearchToolView.tsx}                              | 12 +++++-------
 .../search_tools.tsx => SearchTools/SearchTools.tsx} |  6 +++---
 .../src/components/SearchTools/index.tsx             |  6 ++++++
 .../{search_tools => SearchTools}/types.tsx          |  0
 .../src/components/search_tools/index.tsx            |  6 ------
 10 files changed, 21 insertions(+), 23 deletions(-)
 rename ui/litellm-dashboard/src/components/{search_tools/create_search_tool.tsx => SearchTools/CreateSearchTools.tsx} (98%)
 rename ui/litellm-dashboard/src/components/{search_tools/search_connection_test.tsx => SearchTools/SearchConnectionTest.tsx} (100%)
 rename ui/litellm-dashboard/src/components/{search_tools/search_tool_columns.tsx => SearchTools/SearchToolColumn.tsx} (100%)
 rename ui/litellm-dashboard/src/components/{search_tools/search_tool_tester.tsx => SearchTools/SearchToolTester.tsx} (100%)
 rename ui/litellm-dashboard/src/components/{search_tools/search_tool_view.tsx => SearchTools/SearchToolView.tsx} (95%)
 rename ui/litellm-dashboard/src/components/{search_tools/search_tools.tsx => SearchTools/SearchTools.tsx} (98%)
 create mode 100644 ui/litellm-dashboard/src/components/SearchTools/index.tsx
 rename ui/litellm-dashboard/src/components/{search_tools => SearchTools}/types.tsx (100%)
 delete mode 100644 ui/litellm-dashboard/src/components/search_tools/index.tsx

diff --git a/ui/litellm-dashboard/src/app/page.tsx b/ui/litellm-dashboard/src/app/page.tsx
index 5f94db7e9f4..8e887d80fb3 100644
--- a/ui/litellm-dashboard/src/app/page.tsx
+++ b/ui/litellm-dashboard/src/app/page.tsx
@@ -27,7 +27,7 @@ import Organizations, { fetchOrganizations } from "@/components/organizations";
 import PassThroughSettings from "@/components/pass_through_settings";
 import PromptsPanel from "@/components/prompts";
 import PublicModelHub from "@/components/public_model_hub";
-import { SearchTools } from "@/components/search_tools";
+import { SearchTools } from "@/components/SearchTools";
 import Settings from "@/components/settings";
 import { SurveyPrompt, SurveyModal, ClaudeCodePrompt, ClaudeCodeModal } from "@/components/survey";
 import TagManagement from "@/components/tag_management";
diff --git a/ui/litellm-dashboard/src/components/search_tools/create_search_tool.tsx b/ui/litellm-dashboard/src/components/SearchTools/CreateSearchTools.tsx
similarity index 98%
rename from ui/litellm-dashboard/src/components/search_tools/create_search_tool.tsx
rename to ui/litellm-dashboard/src/components/SearchTools/CreateSearchTools.tsx
index 9dd14256eee..18eaf5e493e 100644
--- a/ui/litellm-dashboard/src/components/search_tools/create_search_tool.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/CreateSearchTools.tsx
@@ -7,7 +7,7 @@ import { SearchTool, AvailableSearchProvider } from "./types";
 import { isAdminRole } from "@/utils/roles";
 import NotificationsManager from "../molecules/notifications_manager";
 import { useQuery } from "@tanstack/react-query";
-import SearchConnectionTest from "./search_connection_test";
+import SearchConnectionTest from "./SearchConnectionTest";
 import Image from "next/image";
 
 const { TextArea } = Input;
@@ -97,8 +97,8 @@ const CreateSearchTool: React.FC<CreateSearchToolProps> = ({
         },
         search_tool_info: formValues.description
           ? {
-              description: formValues.description,
-            }
+            description: formValues.description,
+          }
           : undefined,
       };
 
@@ -130,7 +130,7 @@ const CreateSearchTool: React.FC<CreateSearchToolProps> = ({
     try {
       // Validate required fields for testing
       await form.validateFields(["search_provider", "api_key"]);
-      
+
       setIsTestingConnection(true);
       // Generate a new test ID (using timestamp for uniqueness)
       setConnectionTestId(`test-${Date.now()}`);
@@ -225,8 +225,8 @@ const CreateSearchTool: React.FC<CreateSearchToolProps> = ({
                 optionLabelProp="label"
               >
                 {availableProviders.map((provider) => (
-                  <Select.Option 
-                    key={provider.provider_name} 
+                  <Select.Option
+                    key={provider.provider_name}
                     value={provider.provider_name}
                     label={
                       <SearchProviderLabel
diff --git a/ui/litellm-dashboard/src/components/search_tools/search_connection_test.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchConnectionTest.tsx
similarity index 100%
rename from ui/litellm-dashboard/src/components/search_tools/search_connection_test.tsx
rename to ui/litellm-dashboard/src/components/SearchTools/SearchConnectionTest.tsx
diff --git a/ui/litellm-dashboard/src/components/search_tools/search_tool_columns.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx
similarity index 100%
rename from ui/litellm-dashboard/src/components/search_tools/search_tool_columns.tsx
rename to ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx
diff --git a/ui/litellm-dashboard/src/components/search_tools/search_tool_tester.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchToolTester.tsx
similarity index 100%
rename from ui/litellm-dashboard/src/components/search_tools/search_tool_tester.tsx
rename to ui/litellm-dashboard/src/components/SearchTools/SearchToolTester.tsx
diff --git a/ui/litellm-dashboard/src/components/search_tools/search_tool_view.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.tsx
similarity index 95%
rename from ui/litellm-dashboard/src/components/search_tools/search_tool_view.tsx
rename to ui/litellm-dashboard/src/components/SearchTools/SearchToolView.tsx
index a5cad4e8370..c07041471ed 100644
--- a/ui/litellm-dashboard/src/components/search_tools/search_tool_view.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.tsx
@@ -5,7 +5,7 @@ import { SearchTool, AvailableSearchProvider } from "./types";
 import { copyToClipboard as utilCopyToClipboard } from "@/utils/dataUtils";
 import { CheckIcon, CopyIcon } from "lucide-react";
 import { Button as AntdButton } from "antd";
-import { SearchToolTester } from "./search_tool_tester";
+import { SearchToolTester } from "./SearchToolTester";
 
 interface SearchToolViewProps {
   searchTool: SearchTool;
@@ -53,11 +53,10 @@ export const SearchToolView: React.FC<SearchToolViewProps> = ({
               size="small"
               icon={copiedStates["search-tool-name"] ? <CheckIcon size={12} /> : <CopyIcon size={12} />}
               onClick={() => copyToClipboard(searchTool.search_tool_name, "search-tool-name")}
-              className={`left-2 z-10 transition-all duration-200 ${
-                copiedStates["search-tool-name"]
+              className={`left-2 z-10 transition-all duration-200 ${copiedStates["search-tool-name"]
                   ? "text-green-600 bg-green-50 border-green-200"
                   : "text-gray-500 hover:text-gray-700 hover:bg-gray-100"
-              }`}
+                }`}
             />
           </div>
           <div className="flex items-center cursor-pointer">
@@ -67,11 +66,10 @@ export const SearchToolView: React.FC<SearchToolViewProps> = ({
               size="small"
               icon={copiedStates["search-tool-id"] ? <CheckIcon size={12} /> : <CopyIcon size={12} />}
               onClick={() => copyToClipboard(searchTool.search_tool_id, "search-tool-id")}
-              className={`left-2 z-10 transition-all duration-200 ${
-                copiedStates["search-tool-id"]
+              className={`left-2 z-10 transition-all duration-200 ${copiedStates["search-tool-id"]
                   ? "text-green-600 bg-green-50 border-green-200"
                   : "text-gray-500 hover:text-gray-700 hover:bg-gray-100"
-              }`}
+                }`}
             />
           </div>
         </div>
diff --git a/ui/litellm-dashboard/src/components/search_tools/search_tools.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
similarity index 98%
rename from ui/litellm-dashboard/src/components/search_tools/search_tools.tsx
rename to ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
index 2fbdd4d27c6..be4c74099b0 100644
--- a/ui/litellm-dashboard/src/components/search_tools/search_tools.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
@@ -3,7 +3,7 @@ import { useQuery } from "@tanstack/react-query";
 import { Modal, Form, Input, Select } from "antd";
 import { Button, Title, Text, Grid, Col } from "@tremor/react";
 import { DataTable } from "../view_logs/table";
-import { searchToolColumns } from "./search_tool_columns";
+import { searchToolColumns } from "./SearchToolColumn";
 import {
   fetchSearchTools,
   updateSearchTool,
@@ -13,8 +13,8 @@ import {
 import { SearchTool, AvailableSearchProvider } from "./types";
 import { isAdminRole } from "@/utils/roles";
 import NotificationsManager from "../molecules/notifications_manager";
-import { SearchToolView } from "./search_tool_view";
-import CreateSearchTool from "./create_search_tool";
+import { SearchToolView } from "./SearchToolView";
+import CreateSearchTool from "./CreateSearchTools";
 
 interface SearchToolsProps {
   accessToken: string | null;
diff --git a/ui/litellm-dashboard/src/components/SearchTools/index.tsx b/ui/litellm-dashboard/src/components/SearchTools/index.tsx
new file mode 100644
index 00000000000..54820d38492
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/SearchTools/index.tsx
@@ -0,0 +1,6 @@
+export { default as SearchTools } from './SearchTools';
+export { SearchToolView } from './SearchToolView';
+export { default as SearchConnectionTest } from './SearchConnectionTest';
+export { SearchToolTester } from './SearchToolTester';
+export * from './types';
+
diff --git a/ui/litellm-dashboard/src/components/search_tools/types.tsx b/ui/litellm-dashboard/src/components/SearchTools/types.tsx
similarity index 100%
rename from ui/litellm-dashboard/src/components/search_tools/types.tsx
rename to ui/litellm-dashboard/src/components/SearchTools/types.tsx
diff --git a/ui/litellm-dashboard/src/components/search_tools/index.tsx b/ui/litellm-dashboard/src/components/search_tools/index.tsx
deleted file mode 100644
index eae43a1d391..00000000000
--- a/ui/litellm-dashboard/src/components/search_tools/index.tsx
+++ /dev/null
@@ -1,6 +0,0 @@
-export { default as SearchTools } from './search_tools';
-export { SearchToolView } from './search_tool_view';
-export { default as SearchConnectionTest } from './search_connection_test';
-export { SearchToolTester } from './search_tool_tester';
-export * from './types';
-

From 609c423314f290dd9c215ad5609ff21fd54ca79c Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng.jiang@gmail.com>
Date: Wed, 4 Feb 2026 12:22:57 -0800
Subject: [PATCH 04/21] migrate to antd table

---
 .../SearchTools/SearchToolColumn.tsx          | 170 +++++++++++-------
 .../components/SearchTools/SearchTools.tsx    |  82 +++++----
 .../src/components/SearchTools/types.tsx      |   1 +
 3 files changed, 151 insertions(+), 102 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx
index 78aa1094000..86b0bde4d04 100644
--- a/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx
@@ -1,78 +1,114 @@
-import { ColumnDef } from "@tanstack/react-table";
+import { ColumnsType } from "antd/es/table";
 import { SearchTool } from "./types";
-import { Icon } from "@tremor/react";
-import { PencilAltIcon, TrashIcon } from "@heroicons/react/outline";
+import { Tag } from "antd";
+import TableIconActionButton from "../common_components/IconActionButton/TableIconActionButtons/TableIconActionButton";
 
 export const searchToolColumns = (
   onView: (searchToolId: string) => void,
   onEdit: (searchToolId: string) => void,
   onDelete: (searchToolId: string) => void,
   availableProviders: Array<{ provider_name: string; ui_friendly_name: string }>,
-): ColumnDef<SearchTool>[] => [
-  {
-    accessorKey: "search_tool_id",
-    header: "Search Tool ID",
-    cell: ({ row }) => (
-      <button
-        onClick={() => onView(row.original.search_tool_id!)}
-        className="font-mono text-blue-500 bg-blue-50 hover:bg-blue-100 text-xs font-normal px-2 py-0.5 text-left w-full truncate whitespace-nowrap cursor-pointer max-w-[15ch]"
-      >
-        {row.original.search_tool_id?.slice(0, 7)}...
-      </button>
-    ),
-  },
-  {
-    accessorKey: "search_tool_name",
-    header: "Name",
-    cell: ({ getValue }) => <span className="font-medium">{getValue() as string}</span>,
-  },
-  {
-    id: "provider",
-    header: "Provider",
-    cell: ({ row }) => {
-      const provider = row.original.litellm_params.search_provider;
-      const providerInfo = availableProviders.find((p) => p.provider_name === provider);
-      const displayName = providerInfo?.ui_friendly_name || provider;
+): ColumnsType<SearchTool> => [
+    {
+      title: "Search Tool ID",
+      dataIndex: "search_tool_id",
+      key: "search_tool_id",
+      render: (_, tool) => {
+        const isFromConfig = tool.is_from_config;
 
-      return <span className="text-sm">{displayName}</span>;
+        if (isFromConfig) {
+          return <span className="text-xs">-</span>;
+        }
+
+        return (
+          <button
+            onClick={() => onView(tool.search_tool_id!)}
+            className="font-mono text-blue-500 bg-blue-50 hover:bg-blue-100 text-xs font-normal px-2 py-0.5 text-left cursor-pointer max-w-40"
+          >
+            <span className="truncate block">{tool.search_tool_id}</span>
+          </button>
+        );
+      },
     },
-  },
-  {
-    header: "Created At",
-    accessorKey: "created_at",
-    sortingFn: "datetime",
-    cell: ({ row }) => {
-      const tool = row.original;
-      return <span className="text-xs">{tool.created_at ? new Date(tool.created_at).toLocaleDateString() : "-"}</span>;
+    {
+      title: "Name",
+      dataIndex: "search_tool_name",
+      key: "search_tool_name",
+      render: (name: string) => <span className="font-medium">{name}</span>,
     },
-  },
-  {
-    header: "Updated At",
-    accessorKey: "updated_at",
-    sortingFn: "datetime",
-    cell: ({ row }) => {
-      const tool = row.original;
-      return <span className="text-xs">{tool.updated_at ? new Date(tool.updated_at).toLocaleDateString() : "-"}</span>;
+    {
+      title: "Provider",
+      key: "provider",
+      render: (_, tool) => {
+        const provider = tool.litellm_params.search_provider;
+        const providerInfo = availableProviders.find((p) => p.provider_name === provider);
+        const displayName = providerInfo?.ui_friendly_name || provider;
+
+        return <span className="text-sm">{displayName}</span>;
+      },
     },
-  },
-  {
-    id: "actions",
-    header: "Actions",
-    cell: ({ row }) => (
-      <div className="flex items-center gap-2">
-        <Icon
-          icon={PencilAltIcon}
-          size="sm"
-          onClick={() => onEdit(row.original.search_tool_id!)}
-          className="cursor-pointer"
-        />
-        <Icon
-          icon={TrashIcon}
-          size="sm"
-          onClick={() => onDelete(row.original.search_tool_id!)}
-          className="cursor-pointer"
-        />
-      </div>
-    ),
-  },
-];
+    {
+      title: "Created At",
+      dataIndex: "created_at",
+      key: "created_at",
+      render: (_, tool) => {
+        return <span className="text-xs">{tool.created_at ? new Date(tool.created_at).toLocaleDateString() : "-"}</span>;
+      },
+    },
+    {
+      title: "Updated At",
+      dataIndex: "updated_at",
+      key: "updated_at",
+      render: (_, tool) => {
+        return <span className="text-xs">{tool.updated_at ? new Date(tool.updated_at).toLocaleDateString() : "-"}</span>;
+      },
+    },
+    {
+      title: "Source",
+      key: "source",
+      render: (_, tool) => {
+        const isFromConfig = tool.is_from_config ?? false;
+
+        return (
+          <Tag color={isFromConfig ? "default" : "blue"}>
+            {isFromConfig ? "Config" : "DB"}
+          </Tag>
+        );
+      },
+    },
+    {
+      title: "Actions",
+      key: "actions",
+      render: (_, tool) => {
+        const toolId = tool.search_tool_id;
+        const isFromConfig = tool.is_from_config ?? false;
+
+        return (
+          <div className="flex items-center gap-2">
+            <TableIconActionButton
+              variant="Edit"
+              tooltipText="Edit search tool"
+              disabled={isFromConfig}
+              disabledTooltipText="Config search tool cannot be edited on the dashboard. Please edit it from the config file."
+              onClick={() => {
+                if (toolId && !isFromConfig) {
+                  onEdit(toolId);
+                }
+              }}
+            />
+            <TableIconActionButton
+              variant="Delete"
+              tooltipText="Delete search tool"
+              disabled={isFromConfig}
+              disabledTooltipText="Config search tool cannot be deleted on the dashboard. Please delete it from the config file."
+              onClick={() => {
+                if (toolId && !isFromConfig) {
+                  onDelete(toolId);
+                }
+              }}
+            />
+          </div>
+        );
+      },
+    },
+  ];
diff --git a/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
index be4c74099b0..ba42ea22cdc 100644
--- a/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
@@ -1,8 +1,8 @@
 import React, { useState } from "react";
 import { useQuery } from "@tanstack/react-query";
-import { Modal, Form, Input, Select } from "antd";
-import { Button, Title, Text, Grid, Col } from "@tremor/react";
-import { DataTable } from "../view_logs/table";
+import { Modal, Form, Input, Select, Table, Spin } from "antd";
+import { LoadingOutlined } from "@ant-design/icons";
+import { Button, Title, Text } from "@tremor/react";
 import { searchToolColumns } from "./SearchToolColumn";
 import {
   fetchSearchTools,
@@ -15,6 +15,7 @@ import { isAdminRole } from "@/utils/roles";
 import NotificationsManager from "../molecules/notifications_manager";
 import { SearchToolView } from "./SearchToolView";
 import CreateSearchTool from "./CreateSearchTools";
+import DeleteResourceModal from "../common_components/DeleteResourceModal";
 
 interface SearchToolsProps {
   accessToken: string | null;
@@ -22,24 +23,6 @@ interface SearchToolsProps {
   userID: string | null;
 }
 
-const DeleteModal: React.FC<{
-  isModalOpen: boolean;
-  title: string;
-  confirmDelete: () => void;
-  cancelDelete: () => void;
-}> = ({ isModalOpen, title, confirmDelete, cancelDelete }) => {
-  if (!isModalOpen) return null;
-  return (
-    <Modal open={isModalOpen} onOk={confirmDelete} okType="danger" onCancel={cancelDelete}>
-      <Grid numItems={1} className="gap-2 w-full">
-        <Title>{title}</Title>
-        <Col numColSpan={1}>
-          <p>Are you sure you want to delete this search tool?</p>
-        </Col>
-      </Grid>
-    </Modal>
-  );
-};
 
 const SearchTools: React.FC<SearchToolsProps> = ({ accessToken, userRole, userID }) => {
   const {
@@ -72,6 +55,7 @@ const SearchTools: React.FC<SearchToolsProps> = ({ accessToken, userRole, userID
   // State
   const [toolIdToDelete, setToolToDelete] = useState<string | null>(null);
   const [isDeleteModalOpen, setIsDeleteModalOpen] = useState(false);
+  const [isDeleting, setIsDeleting] = useState(false);
   const [selectedToolId, setSelectedToolId] = useState<string | null>(null);
   const [editTool, setEditTool] = useState(false);
   const [isCreateModalVisible, setCreateModalVisible] = useState(false);
@@ -116,16 +100,19 @@ const SearchTools: React.FC<SearchToolsProps> = ({ accessToken, userRole, userID
     if (toolIdToDelete == null || accessToken == null) {
       return;
     }
+    setIsDeleting(true);
     try {
       await deleteSearchTool(accessToken, toolIdToDelete);
       NotificationsManager.success("Deleted search tool successfully");
+      setIsDeleteModalOpen(false);
+      setToolToDelete(null);
       refetch();
     } catch (error) {
       console.error("Error deleting the search tool:", error);
       NotificationsManager.error("Failed to delete search tool");
+    } finally {
+      setIsDeleting(false);
     }
-    setIsDeleteModalOpen(false);
-    setToolToDelete(null);
   };
 
   const cancelDelete = () => {
@@ -133,6 +120,11 @@ const SearchTools: React.FC<SearchToolsProps> = ({ accessToken, userRole, userID
     setToolToDelete(null);
   };
 
+  const toolToDelete = searchTools?.find((t) => t.search_tool_id === toolIdToDelete);
+  const providerInfo = toolToDelete
+    ? availableProviders.find((p) => p.provider_name === toolToDelete.litellm_params.search_provider)
+    : null;
+
   const handleCreateSuccess = (newSearchTool: SearchTool) => {
     setCreateModalVisible(false);
     refetch();
@@ -231,26 +223,46 @@ const SearchTools: React.FC<SearchToolsProps> = ({ accessToken, userRole, userID
       />
     ) : (
       <div className="w-full h-full">
-        <div className="w-full px-6 mt-6">
-          <DataTable
-            data={searchTools || []}
+        <Spin spinning={isLoadingTools} indicator={<LoadingOutlined spin />} size="large">
+          <Table
+            bordered
+            dataSource={searchTools || []}
             columns={columns}
-            renderSubComponent={() => <div></div>}
-            getRowCanExpand={() => false}
-            isLoading={isLoadingTools}
-            noDataMessage="No search tools configured"
+            rowKey={(record) => record.search_tool_id || record.search_tool_name}
+            pagination={false}
+            locale={{
+              emptyText: "No search tools configured",
+            }}
+            size="small"
           />
-        </div>
+        </Spin>
+
       </div>
     );
 
   return (
     <div className="w-full h-full p-6">
-      <DeleteModal
-        isModalOpen={isDeleteModalOpen}
+      <DeleteResourceModal
+        isOpen={isDeleteModalOpen}
         title="Delete Search Tool"
-        confirmDelete={confirmDelete}
-        cancelDelete={cancelDelete}
+        message="Are you sure you want to delete this search tool? This action cannot be undone."
+        resourceInformationTitle="Search Tool Information"
+        resourceInformation={
+          toolToDelete
+            ? [
+              { label: "Name", value: toolToDelete.search_tool_name },
+              { label: "ID", value: toolToDelete.search_tool_id, code: true },
+              {
+                label: "Provider",
+                value: providerInfo?.ui_friendly_name || toolToDelete.litellm_params.search_provider,
+              },
+              { label: "Description", value: toolToDelete.search_tool_info?.description || "-" },
+            ]
+            : []
+        }
+        onCancel={cancelDelete}
+        onOk={confirmDelete}
+        confirmLoading={isDeleting}
       />
 
       <CreateSearchTool
diff --git a/ui/litellm-dashboard/src/components/SearchTools/types.tsx b/ui/litellm-dashboard/src/components/SearchTools/types.tsx
index 77935c5efc8..19d5c826950 100644
--- a/ui/litellm-dashboard/src/components/SearchTools/types.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/types.tsx
@@ -19,6 +19,7 @@ export interface SearchTool {
   search_tool_info?: SearchToolInfo;
   created_at?: string;
   updated_at?: string;
+  is_from_config?: boolean;
 }
 
 export interface SearchToolsResponse {

From cd9466a50c2e2cd1b2809f5d374be5e082f61295 Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng.jiang@gmail.com>
Date: Wed, 4 Feb 2026 12:35:58 -0800
Subject: [PATCH 05/21] Adding tests

---
 .../SearchTools/CreateSearchTools.tsx         |  16 +-
 .../SearchTools/SearchConnectionTest.tsx      |   6 +-
 .../SearchTools/SearchToolColumn.tsx          |   4 +-
 .../SearchTools/SearchToolView.test.tsx       | 278 ++++++++++++++++++
 .../components/SearchTools/SearchToolView.tsx |  18 +-
 .../SearchTools/SearchTools.test.tsx          | 234 +++++++++++++++
 .../components/SearchTools/SearchTools.tsx    |  24 +-
 7 files changed, 546 insertions(+), 34 deletions(-)
 create mode 100644 ui/litellm-dashboard/src/components/SearchTools/SearchToolView.test.tsx
 create mode 100644 ui/litellm-dashboard/src/components/SearchTools/SearchTools.test.tsx

diff --git a/ui/litellm-dashboard/src/components/SearchTools/CreateSearchTools.tsx b/ui/litellm-dashboard/src/components/SearchTools/CreateSearchTools.tsx
index 18eaf5e493e..49b57c2a884 100644
--- a/ui/litellm-dashboard/src/components/SearchTools/CreateSearchTools.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/CreateSearchTools.tsx
@@ -1,14 +1,14 @@
-import React, { useState } from "react";
-import { Modal, Tooltip, Form, Select, Input, Typography } from "antd";
-import { InfoCircleOutlined } from "@ant-design/icons";
-import { Button, TextInput } from "@tremor/react";
-import { createSearchTool, fetchAvailableSearchProviders } from "../networking";
-import { SearchTool, AvailableSearchProvider } from "./types";
 import { isAdminRole } from "@/utils/roles";
-import NotificationsManager from "../molecules/notifications_manager";
+import { InfoCircleOutlined } from "@ant-design/icons";
 import { useQuery } from "@tanstack/react-query";
-import SearchConnectionTest from "./SearchConnectionTest";
+import { Button, TextInput } from "@tremor/react";
+import { Form, Input, Modal, Select, Tooltip, Typography } from "antd";
 import Image from "next/image";
+import React, { useState } from "react";
+import NotificationsManager from "../molecules/notifications_manager";
+import { createSearchTool, fetchAvailableSearchProviders } from "../networking";
+import SearchConnectionTest from "./SearchConnectionTest";
+import { AvailableSearchProvider, SearchTool } from "./types";
 
 const { TextArea } = Input;
 
diff --git a/ui/litellm-dashboard/src/components/SearchTools/SearchConnectionTest.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchConnectionTest.tsx
index e18d314591f..a8472cb1f8a 100644
--- a/ui/litellm-dashboard/src/components/SearchTools/SearchConnectionTest.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchConnectionTest.tsx
@@ -1,8 +1,8 @@
+import { InfoCircleOutlined, WarningOutlined } from "@ant-design/icons";
+import { Button, Divider, Typography } from "antd";
 import React, { useEffect, useState } from "react";
-import { testSearchToolConnection } from "../networking";
-import { Button, Typography, Divider } from "antd";
-import { WarningOutlined, InfoCircleOutlined } from "@ant-design/icons";
 import NotificationsManager from "../molecules/notifications_manager";
+import { testSearchToolConnection } from "../networking";
 
 const { Text } = Typography;
 
diff --git a/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx
index 86b0bde4d04..e741bd06a99 100644
--- a/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchToolColumn.tsx
@@ -1,7 +1,7 @@
-import { ColumnsType } from "antd/es/table";
-import { SearchTool } from "./types";
 import { Tag } from "antd";
+import { ColumnsType } from "antd/es/table";
 import TableIconActionButton from "../common_components/IconActionButton/TableIconActionButtons/TableIconActionButton";
+import { SearchTool } from "./types";
 
 export const searchToolColumns = (
   onView: (searchToolId: string) => void,
diff --git a/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.test.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.test.tsx
new file mode 100644
index 00000000000..bb04a04a992
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.test.tsx
@@ -0,0 +1,278 @@
+import { render, screen, waitFor, within } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
+import { beforeEach, describe, expect, it, vi } from "vitest";
+import { SearchToolView } from "./SearchToolView";
+import { AvailableSearchProvider, SearchTool } from "./types";
+
+vi.mock("@/utils/dataUtils", () => ({
+  copyToClipboard: vi.fn().mockResolvedValue(true),
+}));
+
+vi.mock("./SearchToolTester", () => ({
+  SearchToolTester: ({ searchToolName, accessToken }: { searchToolName: string; accessToken: string }) => (
+    <div data-testid="search-tool-tester">
+      <span>Search Tool Tester for {searchToolName}</span>
+      <span>Access Token: {accessToken}</span>
+    </div>
+  ),
+}));
+
+describe("SearchToolView", () => {
+  const mockSearchTool: SearchTool = {
+    search_tool_id: "test-tool-id-123",
+    search_tool_name: "Test Search Tool",
+    litellm_params: {
+      search_provider: "perplexity",
+      api_key: "sk-test-key",
+    },
+    search_tool_info: {
+      description: "Test description",
+    },
+    created_at: "2024-01-15T10:30:00Z",
+  };
+
+  const mockAvailableProviders: AvailableSearchProvider[] = [
+    {
+      provider_name: "perplexity",
+      ui_friendly_name: "Perplexity AI",
+    },
+    {
+      provider_name: "tavily",
+      ui_friendly_name: "Tavily Search",
+    },
+  ];
+
+  const defaultProps = {
+    searchTool: mockSearchTool,
+    onBack: vi.fn(),
+    isEditing: false,
+    accessToken: "test-token",
+    availableProviders: mockAvailableProviders,
+  };
+
+  beforeEach(async () => {
+    vi.clearAllMocks();
+    const { copyToClipboard } = await import("@/utils/dataUtils");
+    vi.mocked(copyToClipboard).mockResolvedValue(true);
+  });
+
+  it("should render", () => {
+    render(<SearchToolView {...defaultProps} />);
+    expect(screen.getByText("Test Search Tool")).toBeInTheDocument();
+  });
+
+  it("should display search tool name", () => {
+    render(<SearchToolView {...defaultProps} />);
+    expect(screen.getByText("Test Search Tool")).toBeInTheDocument();
+  });
+
+  it("should display search tool ID", () => {
+    render(<SearchToolView {...defaultProps} />);
+    expect(screen.getByText("test-tool-id-123")).toBeInTheDocument();
+  });
+
+  it("should display provider name using UI-friendly name when available", () => {
+    render(<SearchToolView {...defaultProps} />);
+    expect(screen.getByText("Perplexity AI")).toBeInTheDocument();
+  });
+
+  it("should display provider name using provider_name when UI-friendly name is not available", () => {
+    const searchToolWithoutProvider: SearchTool = {
+      ...mockSearchTool,
+      litellm_params: {
+        search_provider: "unknown-provider",
+      },
+    };
+
+    render(
+      <SearchToolView
+        {...defaultProps}
+        searchTool={searchToolWithoutProvider}
+      />,
+    );
+    expect(screen.getByText("unknown-provider")).toBeInTheDocument();
+  });
+
+  it("should display masked API key when API key is set", () => {
+    render(<SearchToolView {...defaultProps} />);
+    expect(screen.getByText("****")).toBeInTheDocument();
+  });
+
+  it("should display 'Not set' when API key is not set", () => {
+    const searchToolWithoutApiKey: SearchTool = {
+      ...mockSearchTool,
+      litellm_params: {
+        search_provider: "perplexity",
+      },
+    };
+
+    render(
+      <SearchToolView
+        {...defaultProps}
+        searchTool={searchToolWithoutApiKey}
+      />,
+    );
+    expect(screen.getByText("Not set")).toBeInTheDocument();
+  });
+
+  it("should display formatted created_at date", () => {
+    render(<SearchToolView {...defaultProps} />);
+    const dateText = screen.getByText(/2024-01-15/);
+    expect(dateText).toBeInTheDocument();
+  });
+
+  it("should display 'Unknown' when created_at is not set", () => {
+    const searchToolWithoutDate: SearchTool = {
+      ...mockSearchTool,
+      created_at: undefined,
+    };
+
+    render(
+      <SearchToolView
+        {...defaultProps}
+        searchTool={searchToolWithoutDate}
+      />,
+    );
+    expect(screen.getByText("Unknown")).toBeInTheDocument();
+  });
+
+  it("should display description when search_tool_info.description is provided", () => {
+    render(<SearchToolView {...defaultProps} />);
+    expect(screen.getByText("Test description")).toBeInTheDocument();
+  });
+
+  it("should not display description card when search_tool_info.description is not provided", () => {
+    const searchToolWithoutDescription: SearchTool = {
+      ...mockSearchTool,
+      search_tool_info: {},
+    };
+
+    render(
+      <SearchToolView
+        {...defaultProps}
+        searchTool={searchToolWithoutDescription}
+      />,
+    );
+    expect(screen.queryByText("Description")).not.toBeInTheDocument();
+  });
+
+  it("should call onBack when back button is clicked", async () => {
+    const user = userEvent.setup({ delay: null });
+    const onBack = vi.fn();
+    render(<SearchToolView {...defaultProps} onBack={onBack} />);
+
+    const backButton = screen.getByRole("button", { name: /back to all search tools/i });
+    await user.click(backButton);
+
+    expect(onBack).toHaveBeenCalledTimes(1);
+  });
+
+  it("should copy search tool name to clipboard when copy button is clicked", async () => {
+    const user = userEvent.setup({ delay: null });
+    const { copyToClipboard } = await import("@/utils/dataUtils");
+    render(<SearchToolView {...defaultProps} />);
+
+    const toolNameContainer = screen.getByText("Test Search Tool").closest("div");
+    expect(toolNameContainer).toBeInTheDocument();
+
+    const copyButtons = within(toolNameContainer!).getAllByRole("button");
+    const nameCopyButton = copyButtons.find((button) => {
+      return button.querySelector("svg") !== null;
+    });
+
+    expect(nameCopyButton).toBeInTheDocument();
+    await user.click(nameCopyButton!);
+
+    await waitFor(() => {
+      expect(copyToClipboard).toHaveBeenCalledWith("Test Search Tool");
+    });
+  });
+
+  it("should copy search tool ID to clipboard when copy button is clicked", async () => {
+    const user = userEvent.setup({ delay: null });
+    const { copyToClipboard } = await import("@/utils/dataUtils");
+    render(<SearchToolView {...defaultProps} />);
+
+    const toolIdContainer = screen.getByText("test-tool-id-123").closest("div");
+    expect(toolIdContainer).toBeInTheDocument();
+
+    const copyButtons = within(toolIdContainer!).getAllByRole("button");
+    const idCopyButton = copyButtons.find((button) => {
+      return button.querySelector("svg") !== null;
+    });
+
+    expect(idCopyButton).toBeInTheDocument();
+    await user.click(idCopyButton!);
+
+    await waitFor(() => {
+      expect(copyToClipboard).toHaveBeenCalledWith("test-tool-id-123");
+    });
+  });
+
+  it("should show check icon after copying search tool name", async () => {
+    const user = userEvent.setup({ delay: null });
+    const { copyToClipboard } = await import("@/utils/dataUtils");
+    vi.mocked(copyToClipboard).mockResolvedValue(true);
+
+    render(<SearchToolView {...defaultProps} />);
+
+    const toolNameContainer = screen.getByText("Test Search Tool").closest("div");
+    const copyButtons = within(toolNameContainer!).getAllByRole("button");
+    const nameCopyButton = copyButtons.find((button) => {
+      return button.querySelector("svg") !== null;
+    });
+
+    expect(nameCopyButton).toBeInTheDocument();
+
+    const initialSvg = nameCopyButton!.querySelector("svg");
+    expect(initialSvg).toBeInTheDocument();
+
+    await user.click(nameCopyButton!);
+
+    await waitFor(() => {
+      const updatedSvg = nameCopyButton!.querySelector("svg");
+      expect(updatedSvg).toBeInTheDocument();
+      expect(nameCopyButton).toHaveClass("text-green-600");
+    });
+  });
+
+
+  it("should not show check icon when copy fails", async () => {
+    const user = userEvent.setup({ delay: null });
+    const { copyToClipboard } = await import("@/utils/dataUtils");
+    vi.mocked(copyToClipboard).mockResolvedValue(false);
+
+    render(<SearchToolView {...defaultProps} />);
+
+    const toolNameContainer = screen.getByText("Test Search Tool").closest("div");
+    const copyButtons = within(toolNameContainer!).getAllByRole("button");
+    const nameCopyButton = copyButtons.find((button) => {
+      return button.querySelector("svg") !== null;
+    });
+
+    expect(nameCopyButton).toBeInTheDocument();
+    await user.click(nameCopyButton!);
+
+    await waitFor(() => {
+      expect(copyToClipboard).toHaveBeenCalledWith("Test Search Tool");
+    }, { timeout: 3000 });
+
+    expect(nameCopyButton).not.toHaveClass("text-green-600");
+  });
+
+  it("should render SearchToolTester when accessToken is provided", () => {
+    render(<SearchToolView {...defaultProps} />);
+    expect(screen.getByTestId("search-tool-tester")).toBeInTheDocument();
+    expect(screen.getByText(/Search Tool Tester for Test Search Tool/)).toBeInTheDocument();
+  });
+
+  it("should not render SearchToolTester when accessToken is null", () => {
+    render(<SearchToolView {...defaultProps} accessToken={null} />);
+    expect(screen.queryByTestId("search-tool-tester")).not.toBeInTheDocument();
+  });
+
+  it("should pass correct props to SearchToolTester", () => {
+    render(<SearchToolView {...defaultProps} />);
+    expect(screen.getByText("Access Token: test-token")).toBeInTheDocument();
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.tsx
index c07041471ed..ad88acd127f 100644
--- a/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchToolView.tsx
@@ -1,11 +1,11 @@
-import React, { useState } from "react";
-import { ArrowLeftIcon } from "@heroicons/react/outline";
-import { Title, Card, Button, Text, Grid } from "@tremor/react";
-import { SearchTool, AvailableSearchProvider } from "./types";
 import { copyToClipboard as utilCopyToClipboard } from "@/utils/dataUtils";
-import { CheckIcon, CopyIcon } from "lucide-react";
+import { ArrowLeftIcon } from "@heroicons/react/outline";
+import { Button, Card, Grid, Text, Title } from "@tremor/react";
 import { Button as AntdButton } from "antd";
+import { CheckIcon, CopyIcon } from "lucide-react";
+import React, { useState } from "react";
 import { SearchToolTester } from "./SearchToolTester";
+import { AvailableSearchProvider, SearchTool } from "./types";
 
 interface SearchToolViewProps {
   searchTool: SearchTool;
@@ -54,8 +54,8 @@ export const SearchToolView: React.FC<SearchToolViewProps> = ({
               icon={copiedStates["search-tool-name"] ? <CheckIcon size={12} /> : <CopyIcon size={12} />}
               onClick={() => copyToClipboard(searchTool.search_tool_name, "search-tool-name")}
               className={`left-2 z-10 transition-all duration-200 ${copiedStates["search-tool-name"]
-                  ? "text-green-600 bg-green-50 border-green-200"
-                  : "text-gray-500 hover:text-gray-700 hover:bg-gray-100"
+                ? "text-green-600 bg-green-50 border-green-200"
+                : "text-gray-500 hover:text-gray-700 hover:bg-gray-100"
                 }`}
             />
           </div>
@@ -67,8 +67,8 @@ export const SearchToolView: React.FC<SearchToolViewProps> = ({
               icon={copiedStates["search-tool-id"] ? <CheckIcon size={12} /> : <CopyIcon size={12} />}
               onClick={() => copyToClipboard(searchTool.search_tool_id, "search-tool-id")}
               className={`left-2 z-10 transition-all duration-200 ${copiedStates["search-tool-id"]
-                  ? "text-green-600 bg-green-50 border-green-200"
-                  : "text-gray-500 hover:text-gray-700 hover:bg-gray-100"
+                ? "text-green-600 bg-green-50 border-green-200"
+                : "text-gray-500 hover:text-gray-700 hover:bg-gray-100"
                 }`}
             />
           </div>
diff --git a/ui/litellm-dashboard/src/components/SearchTools/SearchTools.test.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchTools.test.tsx
new file mode 100644
index 00000000000..f1f7bf8ab42
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchTools.test.tsx
@@ -0,0 +1,234 @@
+import * as roles from "@/utils/roles";
+import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
+import { render, screen, waitFor } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
+import { beforeEach, describe, expect, it, vi } from "vitest";
+import * as networking from "../networking";
+import SearchTools from "./SearchTools";
+import { AvailableSearchProvider, SearchTool } from "./types";
+
+vi.mock("../networking", () => ({
+  fetchSearchTools: vi.fn(),
+  updateSearchTool: vi.fn(),
+  deleteSearchTool: vi.fn(),
+  fetchAvailableSearchProviders: vi.fn(),
+}));
+
+vi.mock("@/utils/roles", () => ({
+  isAdminRole: vi.fn(),
+}));
+
+vi.mock("./SearchToolView", () => ({
+  SearchToolView: ({ searchTool, onBack }: { searchTool: SearchTool; onBack: () => void }) => (
+    <div data-testid="search-tool-view">
+      <div>Search Tool View: {searchTool.search_tool_name}</div>
+      <button onClick={onBack}>Back</button>
+    </div>
+  ),
+}));
+
+vi.mock("./CreateSearchTools", () => ({
+  default: ({
+    isModalVisible,
+    setModalVisible,
+  }: {
+    isModalVisible: boolean;
+    setModalVisible: (visible: boolean) => void;
+  }) =>
+    isModalVisible ? (
+      <div data-testid="create-search-tool-modal">
+        <button onClick={() => setModalVisible(false)}>Close Create Modal</button>
+      </div>
+    ) : null,
+}));
+
+vi.mock("../common_components/DeleteResourceModal", () => ({
+  default: ({
+    isOpen,
+    onOk,
+    onCancel,
+  }: {
+    isOpen: boolean;
+    onOk: () => void;
+    onCancel: () => void;
+  }) =>
+    isOpen ? (
+      <div data-testid="delete-resource-modal">
+        <button onClick={onOk}>Confirm Delete</button>
+        <button onClick={onCancel}>Cancel Delete</button>
+      </div>
+    ) : null,
+}));
+
+const mockSearchTools: SearchTool[] = [
+  {
+    search_tool_id: "tool-1",
+    search_tool_name: "Perplexity Search",
+    litellm_params: {
+      search_provider: "perplexity",
+      api_key: "sk-test-key",
+    },
+    search_tool_info: {
+      description: "Test description",
+    },
+    created_at: "2024-01-15T10:30:00Z",
+  },
+  {
+    search_tool_id: "tool-2",
+    search_tool_name: "Tavily Search",
+    litellm_params: {
+      search_provider: "tavily",
+    },
+    created_at: "2024-01-16T10:30:00Z",
+  },
+];
+
+const mockAvailableProviders: AvailableSearchProvider[] = [
+  {
+    provider_name: "perplexity",
+    ui_friendly_name: "Perplexity AI",
+  },
+  {
+    provider_name: "tavily",
+    ui_friendly_name: "Tavily Search",
+  },
+];
+
+const createWrapper = () => {
+  const queryClient = new QueryClient({
+    defaultOptions: {
+      queries: {
+        retry: false,
+      },
+    },
+  });
+  return ({ children }: { children: React.ReactNode }) => (
+    <QueryClientProvider client={queryClient}>{children}</QueryClientProvider>
+  );
+};
+
+describe("SearchTools", () => {
+  const defaultProps = {
+    accessToken: "test-token",
+    userRole: "Admin",
+    userID: "user-1",
+  };
+
+  beforeEach(() => {
+    vi.clearAllMocks();
+    vi.mocked(networking.fetchSearchTools).mockResolvedValue({ search_tools: mockSearchTools });
+    vi.mocked(networking.fetchAvailableSearchProviders).mockResolvedValue({ providers: mockAvailableProviders });
+    vi.mocked(roles.isAdminRole).mockReturnValue(true);
+  });
+
+  it("should render", async () => {
+    render(<SearchTools {...defaultProps} />, { wrapper: createWrapper() });
+    await waitFor(() => {
+      expect(screen.getByText("Search Tools")).toBeInTheDocument();
+    });
+  });
+
+  it("should display missing authentication parameters message when accessToken is missing", () => {
+    render(<SearchTools {...defaultProps} accessToken={null} />, { wrapper: createWrapper() });
+    expect(screen.getByText("Missing required authentication parameters.")).toBeInTheDocument();
+  });
+
+  it("should display missing authentication parameters message when userRole is missing", () => {
+    render(<SearchTools {...defaultProps} userRole={null} />, { wrapper: createWrapper() });
+    expect(screen.getByText("Missing required authentication parameters.")).toBeInTheDocument();
+  });
+
+  it("should display missing authentication parameters message when userID is missing", () => {
+    render(<SearchTools {...defaultProps} userID={null} />, { wrapper: createWrapper() });
+    expect(screen.getByText("Missing required authentication parameters.")).toBeInTheDocument();
+  });
+
+  it("should display search tools table with tools", async () => {
+    render(<SearchTools {...defaultProps} />, { wrapper: createWrapper() });
+    await waitFor(() => {
+      expect(screen.getByText("Perplexity Search")).toBeInTheDocument();
+    });
+    expect(screen.getAllByText("Tavily Search").length).toBeGreaterThan(0);
+  });
+
+  it("should display empty state when no search tools are available", async () => {
+    vi.mocked(networking.fetchSearchTools).mockResolvedValue({ search_tools: [] });
+
+    render(<SearchTools {...defaultProps} />, { wrapper: createWrapper() });
+    await waitFor(() => {
+      expect(screen.getByText("No search tools configured")).toBeInTheDocument();
+    });
+  });
+
+  it("should show Add New Search Tool button when user is admin", async () => {
+    render(<SearchTools {...defaultProps} />, { wrapper: createWrapper() });
+    await waitFor(() => {
+      expect(screen.getByRole("button", { name: /add new search tool/i })).toBeInTheDocument();
+    });
+  });
+
+  it("should not show Add New Search Tool button when user is not admin", async () => {
+    vi.mocked(roles.isAdminRole).mockReturnValue(false);
+
+    render(<SearchTools {...defaultProps} />, { wrapper: createWrapper() });
+    await waitFor(() => {
+      expect(screen.getByText("Search Tools")).toBeInTheDocument();
+    });
+    expect(screen.queryByRole("button", { name: /add new search tool/i })).not.toBeInTheDocument();
+  });
+
+  it("should open create modal when Add New Search Tool button is clicked", async () => {
+    const user = userEvent.setup({ delay: null });
+    render(<SearchTools {...defaultProps} />, { wrapper: createWrapper() });
+
+    await waitFor(() => {
+      expect(screen.getByRole("button", { name: /add new search tool/i })).toBeInTheDocument();
+    });
+
+    const addButton = screen.getByRole("button", { name: /add new search tool/i });
+    await user.click(addButton);
+
+    expect(screen.getByTestId("create-search-tool-modal")).toBeInTheDocument();
+  });
+
+  it("should navigate to tool view when tool ID is clicked", async () => {
+    const user = userEvent.setup({ delay: null });
+    render(<SearchTools {...defaultProps} />, { wrapper: createWrapper() });
+
+    await waitFor(() => {
+      expect(screen.getByText("Perplexity Search")).toBeInTheDocument();
+    });
+
+    const toolIdButton = screen.getByRole("button", { name: /tool-1/i });
+    await user.click(toolIdButton);
+
+    await waitFor(() => {
+      expect(screen.getByTestId("search-tool-view")).toBeInTheDocument();
+    });
+    expect(screen.getByText(/Search Tool View: Perplexity Search/i)).toBeInTheDocument();
+  });
+
+  it("should navigate back from tool view to table", async () => {
+    const user = userEvent.setup({ delay: null });
+    render(<SearchTools {...defaultProps} />, { wrapper: createWrapper() });
+
+    await waitFor(() => {
+      expect(screen.getByText("Perplexity Search")).toBeInTheDocument();
+    });
+
+    const toolIdButton = screen.getByRole("button", { name: /tool-1/i });
+    await user.click(toolIdButton);
+
+    await waitFor(() => {
+      expect(screen.getByTestId("search-tool-view")).toBeInTheDocument();
+    });
+
+    const backButton = screen.getByRole("button", { name: /back/i });
+    await user.click(backButton);
+
+    await waitFor(() => {
+      expect(screen.queryByTestId("search-tool-view")).not.toBeInTheDocument();
+      expect(screen.getByText("Perplexity Search")).toBeInTheDocument();
+    });
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx b/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
index ba42ea22cdc..dd2033fc18f 100644
--- a/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
+++ b/ui/litellm-dashboard/src/components/SearchTools/SearchTools.tsx
@@ -1,21 +1,21 @@
-import React, { useState } from "react";
-import { useQuery } from "@tanstack/react-query";
-import { Modal, Form, Input, Select, Table, Spin } from "antd";
+import { isAdminRole } from "@/utils/roles";
 import { LoadingOutlined } from "@ant-design/icons";
-import { Button, Title, Text } from "@tremor/react";
-import { searchToolColumns } from "./SearchToolColumn";
+import { useQuery } from "@tanstack/react-query";
+import { Button, Text, Title } from "@tremor/react";
+import { Form, Input, Modal, Select, Spin, Table } from "antd";
+import React, { useState } from "react";
+import DeleteResourceModal from "../common_components/DeleteResourceModal";
+import NotificationsManager from "../molecules/notifications_manager";
 import {
-  fetchSearchTools,
-  updateSearchTool,
   deleteSearchTool,
   fetchAvailableSearchProviders,
+  fetchSearchTools,
+  updateSearchTool,
 } from "../networking";
-import { SearchTool, AvailableSearchProvider } from "./types";
-import { isAdminRole } from "@/utils/roles";
-import NotificationsManager from "../molecules/notifications_manager";
-import { SearchToolView } from "./SearchToolView";
 import CreateSearchTool from "./CreateSearchTools";
-import DeleteResourceModal from "../common_components/DeleteResourceModal";
+import { searchToolColumns } from "./SearchToolColumn";
+import { SearchToolView } from "./SearchToolView";
+import { AvailableSearchProvider, SearchTool } from "./types";
 
 interface SearchToolsProps {
   accessToken: string | null;

From d1994a148dceb07721bc82d22e8936ecedb79a1c Mon Sep 17 00:00:00 2001
From: shin-bot-litellm <shin-bot-litellm@berri.ai>
Date: Wed, 4 Feb 2026 15:44:45 -0800
Subject: [PATCH 06/21] Fix mypy type error in fireworks_ai transformation
 (#20391)

Cast message to dict before calling pop() to satisfy mypy's type checker.
The message is typed as a Union of TypedDicts which don't have the
'provider_specific_fields' key, but the runtime check already confirms
it's a dict with this key.
---
 litellm/llms/fireworks_ai/chat/transformation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/litellm/llms/fireworks_ai/chat/transformation.py b/litellm/llms/fireworks_ai/chat/transformation.py
index f6ea9c57f77..7ec32fecc46 100644
--- a/litellm/llms/fireworks_ai/chat/transformation.py
+++ b/litellm/llms/fireworks_ai/chat/transformation.py
@@ -239,7 +239,7 @@ class FireworksAIConfig(OpenAIGPTConfig):
             # Remove fields not permitted by FireworksAI that may cause:
             # "Not permitted, field: 'messages[n].provider_specific_fields'"
             if isinstance(message, dict) and "provider_specific_fields" in message:
-                message.pop("provider_specific_fields", None)
+                cast(dict, message).pop("provider_specific_fields", None)
 
         return messages
 

From 555e1da9b49f66f236412fa95eaac0859adcb384 Mon Sep 17 00:00:00 2001
From: shivam <shivam@uni.minerva.edu>
Date: Wed, 4 Feb 2026 15:53:24 -0800
Subject: [PATCH 07/21] langfuse doc update

---
 .../observability/langfuse_integration.md     | 60 +++++++++++++++++++
 1 file changed, 60 insertions(+)

diff --git a/docs/my-website/docs/observability/langfuse_integration.md b/docs/my-website/docs/observability/langfuse_integration.md
index a81336c5bc6..d3c5a44d481 100644
--- a/docs/my-website/docs/observability/langfuse_integration.md
+++ b/docs/my-website/docs/observability/langfuse_integration.md
@@ -215,6 +215,66 @@ The following parameters can be updated on a continuation of a trace by passing
 
 Any other key value pairs passed into the metadata not listed in the above spec for a `litellm` completion will be added as a metadata key value pair for the generation.
 
+#### Multiple Langfuse Projects (Per-Request Credentials)
+
+You can send traces to different Langfuse projects per request by passing credentials directly to `completion()` or `acompletion()`. This works alongside (or instead of) the global env vars and is useful when different teams or business processes use different Langfuse projects.
+
+Pass **`langfuse_public_key`**, **`langfuse_secret_key`** (or **`langfuse_secret`**), and optionally **`langfuse_host`** as keyword arguments:
+
+```python
+import litellm
+from litellm import completion
+
+# Optional: set a default via env for requests that don't pass credentials
+# os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-default..."
+# os.environ["LANGFUSE_SECRET_KEY"] = "sk-default..."
+
+litellm.success_callback = ["langfuse"]
+litellm.failure_callback = ["langfuse"]
+
+# Request 1 → Langfuse Project A
+response_a = completion(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": "Hello from team A"}],
+    langfuse_public_key="pk-lf-project-a...",
+    langfuse_secret_key="sk-lf-project-a...",
+    langfuse_host="https://us.cloud.langfuse.com",  # optional
+)
+
+# Request 2 → Langfuse Project B (different project)
+response_b = completion(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": "Hello from team B"}],
+    langfuse_public_key="pk-lf-project-b...",
+    langfuse_secret_key="sk-lf-project-b...",
+    langfuse_host="https://eu.cloud.langfuse.com",  # optional, can differ per project
+)
+```
+
+Async usage with per-request credentials:
+
+```python
+import litellm
+from litellm import acompletion
+
+litellm.success_callback = ["langfuse"]
+litellm.failure_callback = ["langfuse"]
+
+response = await acompletion(
+    model="gpt-3.5-turbo",
+    messages=[{"role": "user", "content": "Hi"}],
+    langfuse_public_key="pk-lf-...",
+    langfuse_secret_key="sk-lf-...",
+    langfuse_host="https://us.cloud.langfuse.com",  # optional
+)
+```
+
+- **`langfuse_public_key`** – Langfuse project public key (required for per-request override).
+- **`langfuse_secret_key`** or **`langfuse_secret`** – Langfuse secret key (either name is accepted).
+- **`langfuse_host`** – Langfuse host URL (e.g. `https://us.cloud.langfuse.com`); optional, defaults to env or Langfuse cloud.
+
+When these are passed, that request uses this project (and host) for the Langfuse callback; when omitted, the callback uses the global Langfuse client (from env vars if set). LiteLLM caches a Langfuse client per credential set to avoid creating a new client on every request.
+
 #### Disable Logging - Specific Calls
 
 To disable logging for specific calls use the `no-log` flag. 

From 0209b214ace3dbe51d726b33e266a2e4af36634b Mon Sep 17 00:00:00 2001
From: shin-bot-litellm <shin-bot-litellm@berri.ai>
Date: Wed, 4 Feb 2026 16:07:17 -0800
Subject: [PATCH 08/21] fix(a2a): use text/event-stream SSE format for
 message/stream endpoint (#20365)

* fix(a2a): use text/event-stream SSE format for message/stream endpoint

The A2A gateway's streaming response was using application/x-ndjson
Content-Type and raw NDJSON body format. The A2A protocol spec requires
text/event-stream with SSE framing (data: ...\n\n).

The official a2a-sdk client validates the Content-Type header and raises
SSEError when it doesn't contain text/event-stream.

Changes:
- Changed media_type from application/x-ndjson to text/event-stream
- Updated response body to use SSE framing (data: prefix + \n\n suffix)
- Added tests validating Content-Type and SSE body format

Fixes #20278

* Potential fix for code scanning alert no. 4045: Information exposure through an exception

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* test(a2a): add manual SSE format validation script

Adds a manual test script that:
1. Starts a real A2A agent on port 10001
2. Starts LiteLLM proxy with the agent registered
3. Makes a streaming request to the proxy's A2A gateway
4. Validates Content-Type header is text/event-stream
5. Validates body uses SSE framing (data: ...\n\n)

Run: python tests/a2a_manual/test_a2a_sse_manual.py

---------

Co-authored-by: shin-bot-litellm <shin-bot-litellm@users.noreply.github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
---
 .../proxy/agent_endpoints/a2a_endpoints.py    |  27 +-
 tests/a2a_manual/test_a2a_sse_manual.py       | 261 ++++++++++++++++++
 .../agent_endpoints/test_a2a_endpoints.py     | 126 +++++++++
 3 files changed, 403 insertions(+), 11 deletions(-)
 create mode 100644 tests/a2a_manual/test_a2a_sse_manual.py

diff --git a/litellm/proxy/agent_endpoints/a2a_endpoints.py b/litellm/proxy/agent_endpoints/a2a_endpoints.py
index 24727aacd75..cc66e21b9d0 100644
--- a/litellm/proxy/agent_endpoints/a2a_endpoints.py
+++ b/litellm/proxy/agent_endpoints/a2a_endpoints.py
@@ -62,7 +62,7 @@ async def _handle_stream_message(
     if not A2A_SDK_AVAILABLE:
         # Return a streaming response that yields an error
         async def _error_stream():
-            yield json.dumps(
+            yield "data: " + json.dumps(
                 {
                     "jsonrpc": "2.0",
                     "id": request_id,
@@ -71,9 +71,9 @@ async def _handle_stream_message(
                         "message": "Server error: 'a2a' package not installed",
                     },
                 }
-            ) + "\n"
+            ) + "\n\n"
 
-        return StreamingResponse(_error_stream(), media_type="application/x-ndjson")
+        return StreamingResponse(_error_stream(), media_type="text/event-stream")
 
     from a2a.types import (
         MessageSendParams,
@@ -96,22 +96,27 @@ async def _handle_stream_message(
             ):
                 # Chunk may be dict or object depending on bridge vs standard path
                 if hasattr(chunk, "model_dump"):
-                    yield json.dumps(
+                    yield "data: " + json.dumps(
                         chunk.model_dump(mode="json", exclude_none=True)
-                    ) + "\n"
+                    ) + "\n\n"
                 else:
-                    yield json.dumps(chunk) + "\n"
+                    yield "data: " + json.dumps(chunk) + "\n\n"
         except Exception as e:
-            verbose_proxy_logger.exception(f"Error streaming A2A response: {e}")
-            yield json.dumps(
+            # Log full exception details server-side for debugging
+            verbose_proxy_logger.exception("Error streaming A2A response")
+            # Return a generic error message to the client without exposing internal details
+            yield "data: " + json.dumps(
                 {
                     "jsonrpc": "2.0",
                     "id": request_id,
-                    "error": {"code": -32603, "message": f"Streaming error: {str(e)}"},
+                    "error": {
+                        "code": -32603,
+                        "message": "Streaming error",
+                    },
                 }
-            ) + "\n"
+            ) + "\n\n"
 
-    return StreamingResponse(stream_response(), media_type="application/x-ndjson")
+    return StreamingResponse(stream_response(), media_type="text/event-stream")
 
 
 @router.get(
diff --git a/tests/a2a_manual/test_a2a_sse_manual.py b/tests/a2a_manual/test_a2a_sse_manual.py
new file mode 100644
index 00000000000..8205e5189ce
--- /dev/null
+++ b/tests/a2a_manual/test_a2a_sse_manual.py
@@ -0,0 +1,261 @@
+#!/usr/bin/env python3
+"""
+Manual test: Verify A2A streaming returns text/event-stream (SSE format)
+
+This script:
+1. Starts a simple A2A agent on port 10001
+2. Starts LiteLLM proxy on port 4000 with the agent registered
+3. Makes a streaming request to the proxy's A2A gateway
+4. Validates Content-Type header and SSE body format
+
+Run: python test_a2a_sse_manual.py
+
+Expected output:
+  ✅ Content-Type: text/event-stream
+  ✅ SSE framing: data: {...}\n\n
+"""
+
+import asyncio
+import json
+import os
+import signal
+import subprocess
+import sys
+import tempfile
+import time
+
+import httpx
+
+AGENT_PORT = 10001
+PROXY_PORT = 4000
+TIMEOUT = 60
+
+
+def start_agent():
+    """Start a simple A2A agent using LiteLLM's a2a_protocol."""
+    agent_code = '''
+import asyncio
+from litellm.a2a_protocol import A2AServer, BaseA2AAgent
+
+class TestAgent(BaseA2AAgent):
+    @property
+    def name(self) -> str:
+        return "test-agent"
+    
+    @property
+    def description(self) -> str:
+        return "Test agent for SSE validation"
+    
+    @property
+    def streaming(self) -> bool:
+        return True
+
+    async def invoke(self, query, session_id=None):
+        return {"role": "agent", "parts": [{"kind": "text", "text": "Hello from test agent!"}]}
+
+    async def invoke_streaming(self, query, session_id=None):
+        for word in ["Hello", "from", "streaming", "agent!"]:
+            yield {"role": "agent", "parts": [{"kind": "text", "text": word + " "}]}
+            await asyncio.sleep(0.1)
+
+async def main():
+    server = A2AServer(agent=TestAgent(), host="0.0.0.0", port=10001)
+    await server.start()
+
+if __name__ == "__main__":
+    asyncio.run(main())
+'''
+    with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
+        f.write(agent_code)
+        agent_file = f.name
+    
+    proc = subprocess.Popen(
+        [sys.executable, agent_file],
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+    )
+    return proc, agent_file
+
+
+def start_proxy():
+    """Start LiteLLM proxy with A2A agent registered."""
+    config = {
+        "model_list": [
+            {
+                "model_name": "gpt-4o-mini",
+                "litellm_params": {
+                    "model": "gpt-4o-mini",
+                }
+            }
+        ],
+        "a2a_config": {
+            "agents": [
+                {
+                    "agent_id": "test-agent",
+                    "api_base": f"http://localhost:{AGENT_PORT}",
+                }
+            ]
+        },
+        "general_settings": {
+            "master_key": "sk-test-key"
+        }
+    }
+    
+    with tempfile.NamedTemporaryFile(mode='w', suffix='.yaml', delete=False) as f:
+        import yaml
+        yaml.dump(config, f)
+        config_file = f.name
+    
+    proc = subprocess.Popen(
+        [sys.executable, "-m", "litellm", "--config", config_file, "--port", str(PROXY_PORT)],
+        stdout=subprocess.PIPE,
+        stderr=subprocess.PIPE,
+    )
+    return proc, config_file
+
+
+async def wait_for_server(url: str, timeout: int = 30):
+    """Wait for a server to be ready."""
+    start = time.time()
+    async with httpx.AsyncClient() as client:
+        while time.time() - start < timeout:
+            try:
+                resp = await client.get(url, timeout=2)
+                if resp.status_code < 500:
+                    return True
+            except Exception:
+                pass
+            await asyncio.sleep(0.5)
+    return False
+
+
+async def test_streaming():
+    """Test the A2A streaming endpoint."""
+    print("\n" + "=" * 60)
+    print("Testing A2A Streaming SSE Format")
+    print("=" * 60)
+    
+    url = f"http://localhost:{PROXY_PORT}/a2a/test-agent"
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": "Bearer sk-test-key",
+    }
+    payload = {
+        "jsonrpc": "2.0",
+        "id": "test-123",
+        "method": "message/stream",
+        "params": {
+            "message": {
+                "role": "user",
+                "parts": [{"kind": "text", "text": "Hello"}],
+                "messageId": "msg-001",
+            }
+        }
+    }
+    
+    print(f"\n📡 POST {url}")
+    print(f"   Method: message/stream")
+    
+    async with httpx.AsyncClient() as client:
+        async with client.stream("POST", url, json=payload, headers=headers, timeout=30) as resp:
+            # Check Content-Type header
+            content_type = resp.headers.get("content-type", "")
+            print(f"\n📋 Response Headers:")
+            print(f"   Content-Type: {content_type}")
+            
+            if "text/event-stream" in content_type:
+                print("   ✅ Correct! Uses text/event-stream (SSE)")
+            elif "application/x-ndjson" in content_type:
+                print("   ❌ WRONG! Still using application/x-ndjson")
+                return False
+            else:
+                print(f"   ⚠️  Unexpected Content-Type")
+            
+            # Check body format
+            print(f"\n📦 Response Body (SSE events):")
+            events = []
+            async for line in resp.aiter_lines():
+                if line.strip():
+                    events.append(line)
+                    print(f"   {line[:100]}{'...' if len(line) > 100 else ''}")
+            
+            # Validate SSE framing
+            print(f"\n🔍 SSE Format Validation:")
+            all_valid = True
+            for i, event in enumerate(events):
+                if event.startswith("data: "):
+                    try:
+                        payload_str = event[6:]  # Remove "data: " prefix
+                        json.loads(payload_str)
+                        print(f"   Event {i+1}: ✅ Valid SSE (data: <json>)")
+                    except json.JSONDecodeError as e:
+                        print(f"   Event {i+1}: ❌ Invalid JSON: {e}")
+                        all_valid = False
+                else:
+                    print(f"   Event {i+1}: ❌ Missing 'data: ' prefix")
+                    all_valid = False
+            
+            if all_valid and events:
+                print(f"\n✅ ALL TESTS PASSED - A2A streaming uses correct SSE format")
+                return True
+            else:
+                print(f"\n❌ TESTS FAILED")
+                return False
+
+
+async def main():
+    agent_proc = None
+    proxy_proc = None
+    agent_file = None
+    config_file = None
+    
+    try:
+        print("🚀 Starting test A2A agent on port", AGENT_PORT)
+        agent_proc, agent_file = start_agent()
+        
+        print("⏳ Waiting for agent to be ready...")
+        if not await wait_for_server(f"http://localhost:{AGENT_PORT}/.well-known/agent.json"):
+            print("❌ Agent failed to start")
+            # Print agent stderr for debugging
+            if agent_proc.stderr:
+                print("Agent stderr:", agent_proc.stderr.read().decode())
+            return 1
+        print("✅ Agent ready")
+        
+        print("\n🚀 Starting LiteLLM proxy on port", PROXY_PORT)
+        proxy_proc, config_file = start_proxy()
+        
+        print("⏳ Waiting for proxy to be ready...")
+        if not await wait_for_server(f"http://localhost:{PROXY_PORT}/health"):
+            print("❌ Proxy failed to start")
+            if proxy_proc.stderr:
+                print("Proxy stderr:", proxy_proc.stderr.read().decode())
+            return 1
+        print("✅ Proxy ready")
+        
+        # Run the test
+        success = await test_streaming()
+        return 0 if success else 1
+        
+    except Exception as e:
+        print(f"❌ Error: {e}")
+        import traceback
+        traceback.print_exc()
+        return 1
+        
+    finally:
+        # Cleanup
+        if agent_proc:
+            agent_proc.terminate()
+            agent_proc.wait()
+        if proxy_proc:
+            proxy_proc.terminate()
+            proxy_proc.wait()
+        if agent_file and os.path.exists(agent_file):
+            os.unlink(agent_file)
+        if config_file and os.path.exists(config_file):
+            os.unlink(config_file)
+
+
+if __name__ == "__main__":
+    sys.exit(asyncio.run(main()))
diff --git a/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py b/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
index 9588c3b55c3..135e24953a9 100644
--- a/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
+++ b/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
@@ -4,6 +4,7 @@ Mock tests for A2A endpoints.
 Tests that invoke_agent_a2a properly integrates with add_litellm_data_to_request.
 """
 
+import json
 import sys
 from unittest.mock import AsyncMock, MagicMock, patch
 
@@ -168,3 +169,128 @@ async def test_invoke_agent_a2a_adds_litellm_data():
         # Verify proxy_server_request was added
         assert "proxy_server_request" in captured_data
         assert captured_data["proxy_server_request"]["method"] == "POST"
+
+
+@pytest.mark.asyncio
+async def test_handle_stream_message_returns_sse_content_type():
+    """
+    Test that _handle_stream_message returns Content-Type: text/event-stream
+    with SSE-framed body (data: ...\\n\\n), not application/x-ndjson.
+
+    The A2A protocol spec requires text/event-stream for streaming responses.
+    The official a2a-sdk client validates this header.
+
+    Ref: https://github.com/BerriAI/litellm/issues/20278
+    """
+    # Mock chunk with model_dump
+    mock_chunk = MagicMock()
+    mock_chunk.model_dump.return_value = {
+        "jsonrpc": "2.0",
+        "id": "test-id",
+        "result": {"kind": "status-update"},
+    }
+
+    async def mock_streaming(*args, **kwargs):
+        yield mock_chunk
+
+    # Try to use real a2a.types if available
+    try:
+        from a2a.types import (
+            MessageSendParams,
+            SendStreamingMessageRequest,
+        )
+    except ImportError:
+
+        class MessageSendParams:
+            def __init__(self, **kwargs):
+                self.__dict__.update(kwargs)
+
+        class SendStreamingMessageRequest:
+            def __init__(self, **kwargs):
+                self.__dict__.update(kwargs)
+
+    mock_a2a_types = MagicMock()
+    mock_a2a_types.MessageSendParams = MessageSendParams
+    mock_a2a_types.SendStreamingMessageRequest = SendStreamingMessageRequest
+
+    with patch.dict(
+        sys.modules,
+        {"a2a": MagicMock(), "a2a.types": mock_a2a_types},
+    ), patch(
+        "litellm.a2a_protocol.main.A2A_SDK_AVAILABLE",
+        True,
+    ), patch(
+        "litellm.a2a_protocol.asend_message_streaming",
+        side_effect=mock_streaming,
+    ):
+        from litellm.proxy.agent_endpoints.a2a_endpoints import (
+            _handle_stream_message,
+        )
+
+        response = await _handle_stream_message(
+            api_base="http://backend:10001",
+            request_id="test-id",
+            params={
+                "message": {
+                    "role": "user",
+                    "parts": [{"kind": "text", "text": "Hello"}],
+                    "messageId": "msg-123",
+                }
+            },
+        )
+
+        # Verify Content-Type is text/event-stream (required by A2A spec)
+        assert response.media_type == "text/event-stream"
+
+        # Collect streamed body and verify SSE framing
+        body_parts = []
+        async for chunk in response.body_iterator:
+            body_parts.append(chunk)
+
+        assert len(body_parts) > 0
+        for part in body_parts:
+            # Each SSE event must start with "data: " and end with "\n\n"
+            assert part.startswith("data: "), (
+                f"SSE event must start with 'data: ', got: {part!r}"
+            )
+            assert part.endswith("\n\n"), (
+                f"SSE event must end with '\\n\\n', got: {part!r}"
+            )
+            # The payload between "data: " and "\n\n" must be valid JSON
+            payload = part[len("data: "):-2]
+            parsed = json.loads(payload)
+            assert isinstance(parsed, dict)
+
+
+@pytest.mark.asyncio
+async def test_handle_stream_message_error_uses_sse_format():
+    """
+    Test that when A2A SDK is not available, the error stream also uses
+    text/event-stream with SSE framing.
+    """
+    with patch(
+        "litellm.a2a_protocol.main.A2A_SDK_AVAILABLE",
+        False,
+    ):
+        from litellm.proxy.agent_endpoints.a2a_endpoints import (
+            _handle_stream_message,
+        )
+
+        response = await _handle_stream_message(
+            api_base=None,
+            request_id="err-id",
+            params={},
+        )
+
+        assert response.media_type == "text/event-stream"
+
+        body_parts = []
+        async for chunk in response.body_iterator:
+            body_parts.append(chunk)
+
+        assert len(body_parts) == 1
+        part = body_parts[0]
+        assert part.startswith("data: ")
+        assert part.endswith("\n\n")
+        payload = json.loads(part[len("data: "):-2])
+        assert payload["error"]["code"] == -32603

From 6a73e5bd37fd44aad30f8e2ad3d597cae4d7260f Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 4 Feb 2026 16:08:22 -0800
Subject: [PATCH 09/21] =?UTF-8?q?Revert=20"fix(a2a):=20use=20text/event-st?=
 =?UTF-8?q?ream=20SSE=20format=20for=20message/stream=20endpoin=E2=80=A6"?=
 =?UTF-8?q?=20(#20446)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

This reverts commit 0209b214ace3dbe51d726b33e266a2e4af36634b.
---
 .../proxy/agent_endpoints/a2a_endpoints.py    |  27 +-
 tests/a2a_manual/test_a2a_sse_manual.py       | 261 ------------------
 .../agent_endpoints/test_a2a_endpoints.py     | 126 ---------
 3 files changed, 11 insertions(+), 403 deletions(-)
 delete mode 100644 tests/a2a_manual/test_a2a_sse_manual.py

diff --git a/litellm/proxy/agent_endpoints/a2a_endpoints.py b/litellm/proxy/agent_endpoints/a2a_endpoints.py
index cc66e21b9d0..24727aacd75 100644
--- a/litellm/proxy/agent_endpoints/a2a_endpoints.py
+++ b/litellm/proxy/agent_endpoints/a2a_endpoints.py
@@ -62,7 +62,7 @@ async def _handle_stream_message(
     if not A2A_SDK_AVAILABLE:
         # Return a streaming response that yields an error
         async def _error_stream():
-            yield "data: " + json.dumps(
+            yield json.dumps(
                 {
                     "jsonrpc": "2.0",
                     "id": request_id,
@@ -71,9 +71,9 @@ async def _handle_stream_message(
                         "message": "Server error: 'a2a' package not installed",
                     },
                 }
-            ) + "\n\n"
+            ) + "\n"
 
-        return StreamingResponse(_error_stream(), media_type="text/event-stream")
+        return StreamingResponse(_error_stream(), media_type="application/x-ndjson")
 
     from a2a.types import (
         MessageSendParams,
@@ -96,27 +96,22 @@ async def _handle_stream_message(
             ):
                 # Chunk may be dict or object depending on bridge vs standard path
                 if hasattr(chunk, "model_dump"):
-                    yield "data: " + json.dumps(
+                    yield json.dumps(
                         chunk.model_dump(mode="json", exclude_none=True)
-                    ) + "\n\n"
+                    ) + "\n"
                 else:
-                    yield "data: " + json.dumps(chunk) + "\n\n"
+                    yield json.dumps(chunk) + "\n"
         except Exception as e:
-            # Log full exception details server-side for debugging
-            verbose_proxy_logger.exception("Error streaming A2A response")
-            # Return a generic error message to the client without exposing internal details
-            yield "data: " + json.dumps(
+            verbose_proxy_logger.exception(f"Error streaming A2A response: {e}")
+            yield json.dumps(
                 {
                     "jsonrpc": "2.0",
                     "id": request_id,
-                    "error": {
-                        "code": -32603,
-                        "message": "Streaming error",
-                    },
+                    "error": {"code": -32603, "message": f"Streaming error: {str(e)}"},
                 }
-            ) + "\n\n"
+            ) + "\n"
 
-    return StreamingResponse(stream_response(), media_type="text/event-stream")
+    return StreamingResponse(stream_response(), media_type="application/x-ndjson")
 
 
 @router.get(
diff --git a/tests/a2a_manual/test_a2a_sse_manual.py b/tests/a2a_manual/test_a2a_sse_manual.py
deleted file mode 100644
index 8205e5189ce..00000000000
--- a/tests/a2a_manual/test_a2a_sse_manual.py
+++ /dev/null
@@ -1,261 +0,0 @@
-#!/usr/bin/env python3
-"""
-Manual test: Verify A2A streaming returns text/event-stream (SSE format)
-
-This script:
-1. Starts a simple A2A agent on port 10001
-2. Starts LiteLLM proxy on port 4000 with the agent registered
-3. Makes a streaming request to the proxy's A2A gateway
-4. Validates Content-Type header and SSE body format
-
-Run: python test_a2a_sse_manual.py
-
-Expected output:
-  ✅ Content-Type: text/event-stream
-  ✅ SSE framing: data: {...}\n\n
-"""
-
-import asyncio
-import json
-import os
-import signal
-import subprocess
-import sys
-import tempfile
-import time
-
-import httpx
-
-AGENT_PORT = 10001
-PROXY_PORT = 4000
-TIMEOUT = 60
-
-
-def start_agent():
-    """Start a simple A2A agent using LiteLLM's a2a_protocol."""
-    agent_code = '''
-import asyncio
-from litellm.a2a_protocol import A2AServer, BaseA2AAgent
-
-class TestAgent(BaseA2AAgent):
-    @property
-    def name(self) -> str:
-        return "test-agent"
-    
-    @property
-    def description(self) -> str:
-        return "Test agent for SSE validation"
-    
-    @property
-    def streaming(self) -> bool:
-        return True
-
-    async def invoke(self, query, session_id=None):
-        return {"role": "agent", "parts": [{"kind": "text", "text": "Hello from test agent!"}]}
-
-    async def invoke_streaming(self, query, session_id=None):
-        for word in ["Hello", "from", "streaming", "agent!"]:
-            yield {"role": "agent", "parts": [{"kind": "text", "text": word + " "}]}
-            await asyncio.sleep(0.1)
-
-async def main():
-    server = A2AServer(agent=TestAgent(), host="0.0.0.0", port=10001)
-    await server.start()
-
-if __name__ == "__main__":
-    asyncio.run(main())
-'''
-    with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
-        f.write(agent_code)
-        agent_file = f.name
-    
-    proc = subprocess.Popen(
-        [sys.executable, agent_file],
-        stdout=subprocess.PIPE,
-        stderr=subprocess.PIPE,
-    )
-    return proc, agent_file
-
-
-def start_proxy():
-    """Start LiteLLM proxy with A2A agent registered."""
-    config = {
-        "model_list": [
-            {
-                "model_name": "gpt-4o-mini",
-                "litellm_params": {
-                    "model": "gpt-4o-mini",
-                }
-            }
-        ],
-        "a2a_config": {
-            "agents": [
-                {
-                    "agent_id": "test-agent",
-                    "api_base": f"http://localhost:{AGENT_PORT}",
-                }
-            ]
-        },
-        "general_settings": {
-            "master_key": "sk-test-key"
-        }
-    }
-    
-    with tempfile.NamedTemporaryFile(mode='w', suffix='.yaml', delete=False) as f:
-        import yaml
-        yaml.dump(config, f)
-        config_file = f.name
-    
-    proc = subprocess.Popen(
-        [sys.executable, "-m", "litellm", "--config", config_file, "--port", str(PROXY_PORT)],
-        stdout=subprocess.PIPE,
-        stderr=subprocess.PIPE,
-    )
-    return proc, config_file
-
-
-async def wait_for_server(url: str, timeout: int = 30):
-    """Wait for a server to be ready."""
-    start = time.time()
-    async with httpx.AsyncClient() as client:
-        while time.time() - start < timeout:
-            try:
-                resp = await client.get(url, timeout=2)
-                if resp.status_code < 500:
-                    return True
-            except Exception:
-                pass
-            await asyncio.sleep(0.5)
-    return False
-
-
-async def test_streaming():
-    """Test the A2A streaming endpoint."""
-    print("\n" + "=" * 60)
-    print("Testing A2A Streaming SSE Format")
-    print("=" * 60)
-    
-    url = f"http://localhost:{PROXY_PORT}/a2a/test-agent"
-    headers = {
-        "Content-Type": "application/json",
-        "Authorization": "Bearer sk-test-key",
-    }
-    payload = {
-        "jsonrpc": "2.0",
-        "id": "test-123",
-        "method": "message/stream",
-        "params": {
-            "message": {
-                "role": "user",
-                "parts": [{"kind": "text", "text": "Hello"}],
-                "messageId": "msg-001",
-            }
-        }
-    }
-    
-    print(f"\n📡 POST {url}")
-    print(f"   Method: message/stream")
-    
-    async with httpx.AsyncClient() as client:
-        async with client.stream("POST", url, json=payload, headers=headers, timeout=30) as resp:
-            # Check Content-Type header
-            content_type = resp.headers.get("content-type", "")
-            print(f"\n📋 Response Headers:")
-            print(f"   Content-Type: {content_type}")
-            
-            if "text/event-stream" in content_type:
-                print("   ✅ Correct! Uses text/event-stream (SSE)")
-            elif "application/x-ndjson" in content_type:
-                print("   ❌ WRONG! Still using application/x-ndjson")
-                return False
-            else:
-                print(f"   ⚠️  Unexpected Content-Type")
-            
-            # Check body format
-            print(f"\n📦 Response Body (SSE events):")
-            events = []
-            async for line in resp.aiter_lines():
-                if line.strip():
-                    events.append(line)
-                    print(f"   {line[:100]}{'...' if len(line) > 100 else ''}")
-            
-            # Validate SSE framing
-            print(f"\n🔍 SSE Format Validation:")
-            all_valid = True
-            for i, event in enumerate(events):
-                if event.startswith("data: "):
-                    try:
-                        payload_str = event[6:]  # Remove "data: " prefix
-                        json.loads(payload_str)
-                        print(f"   Event {i+1}: ✅ Valid SSE (data: <json>)")
-                    except json.JSONDecodeError as e:
-                        print(f"   Event {i+1}: ❌ Invalid JSON: {e}")
-                        all_valid = False
-                else:
-                    print(f"   Event {i+1}: ❌ Missing 'data: ' prefix")
-                    all_valid = False
-            
-            if all_valid and events:
-                print(f"\n✅ ALL TESTS PASSED - A2A streaming uses correct SSE format")
-                return True
-            else:
-                print(f"\n❌ TESTS FAILED")
-                return False
-
-
-async def main():
-    agent_proc = None
-    proxy_proc = None
-    agent_file = None
-    config_file = None
-    
-    try:
-        print("🚀 Starting test A2A agent on port", AGENT_PORT)
-        agent_proc, agent_file = start_agent()
-        
-        print("⏳ Waiting for agent to be ready...")
-        if not await wait_for_server(f"http://localhost:{AGENT_PORT}/.well-known/agent.json"):
-            print("❌ Agent failed to start")
-            # Print agent stderr for debugging
-            if agent_proc.stderr:
-                print("Agent stderr:", agent_proc.stderr.read().decode())
-            return 1
-        print("✅ Agent ready")
-        
-        print("\n🚀 Starting LiteLLM proxy on port", PROXY_PORT)
-        proxy_proc, config_file = start_proxy()
-        
-        print("⏳ Waiting for proxy to be ready...")
-        if not await wait_for_server(f"http://localhost:{PROXY_PORT}/health"):
-            print("❌ Proxy failed to start")
-            if proxy_proc.stderr:
-                print("Proxy stderr:", proxy_proc.stderr.read().decode())
-            return 1
-        print("✅ Proxy ready")
-        
-        # Run the test
-        success = await test_streaming()
-        return 0 if success else 1
-        
-    except Exception as e:
-        print(f"❌ Error: {e}")
-        import traceback
-        traceback.print_exc()
-        return 1
-        
-    finally:
-        # Cleanup
-        if agent_proc:
-            agent_proc.terminate()
-            agent_proc.wait()
-        if proxy_proc:
-            proxy_proc.terminate()
-            proxy_proc.wait()
-        if agent_file and os.path.exists(agent_file):
-            os.unlink(agent_file)
-        if config_file and os.path.exists(config_file):
-            os.unlink(config_file)
-
-
-if __name__ == "__main__":
-    sys.exit(asyncio.run(main()))
diff --git a/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py b/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
index 135e24953a9..9588c3b55c3 100644
--- a/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
+++ b/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py
@@ -4,7 +4,6 @@ Mock tests for A2A endpoints.
 Tests that invoke_agent_a2a properly integrates with add_litellm_data_to_request.
 """
 
-import json
 import sys
 from unittest.mock import AsyncMock, MagicMock, patch
 
@@ -169,128 +168,3 @@ async def test_invoke_agent_a2a_adds_litellm_data():
         # Verify proxy_server_request was added
         assert "proxy_server_request" in captured_data
         assert captured_data["proxy_server_request"]["method"] == "POST"
-
-
-@pytest.mark.asyncio
-async def test_handle_stream_message_returns_sse_content_type():
-    """
-    Test that _handle_stream_message returns Content-Type: text/event-stream
-    with SSE-framed body (data: ...\\n\\n), not application/x-ndjson.
-
-    The A2A protocol spec requires text/event-stream for streaming responses.
-    The official a2a-sdk client validates this header.
-
-    Ref: https://github.com/BerriAI/litellm/issues/20278
-    """
-    # Mock chunk with model_dump
-    mock_chunk = MagicMock()
-    mock_chunk.model_dump.return_value = {
-        "jsonrpc": "2.0",
-        "id": "test-id",
-        "result": {"kind": "status-update"},
-    }
-
-    async def mock_streaming(*args, **kwargs):
-        yield mock_chunk
-
-    # Try to use real a2a.types if available
-    try:
-        from a2a.types import (
-            MessageSendParams,
-            SendStreamingMessageRequest,
-        )
-    except ImportError:
-
-        class MessageSendParams:
-            def __init__(self, **kwargs):
-                self.__dict__.update(kwargs)
-
-        class SendStreamingMessageRequest:
-            def __init__(self, **kwargs):
-                self.__dict__.update(kwargs)
-
-    mock_a2a_types = MagicMock()
-    mock_a2a_types.MessageSendParams = MessageSendParams
-    mock_a2a_types.SendStreamingMessageRequest = SendStreamingMessageRequest
-
-    with patch.dict(
-        sys.modules,
-        {"a2a": MagicMock(), "a2a.types": mock_a2a_types},
-    ), patch(
-        "litellm.a2a_protocol.main.A2A_SDK_AVAILABLE",
-        True,
-    ), patch(
-        "litellm.a2a_protocol.asend_message_streaming",
-        side_effect=mock_streaming,
-    ):
-        from litellm.proxy.agent_endpoints.a2a_endpoints import (
-            _handle_stream_message,
-        )
-
-        response = await _handle_stream_message(
-            api_base="http://backend:10001",
-            request_id="test-id",
-            params={
-                "message": {
-                    "role": "user",
-                    "parts": [{"kind": "text", "text": "Hello"}],
-                    "messageId": "msg-123",
-                }
-            },
-        )
-
-        # Verify Content-Type is text/event-stream (required by A2A spec)
-        assert response.media_type == "text/event-stream"
-
-        # Collect streamed body and verify SSE framing
-        body_parts = []
-        async for chunk in response.body_iterator:
-            body_parts.append(chunk)
-
-        assert len(body_parts) > 0
-        for part in body_parts:
-            # Each SSE event must start with "data: " and end with "\n\n"
-            assert part.startswith("data: "), (
-                f"SSE event must start with 'data: ', got: {part!r}"
-            )
-            assert part.endswith("\n\n"), (
-                f"SSE event must end with '\\n\\n', got: {part!r}"
-            )
-            # The payload between "data: " and "\n\n" must be valid JSON
-            payload = part[len("data: "):-2]
-            parsed = json.loads(payload)
-            assert isinstance(parsed, dict)
-
-
-@pytest.mark.asyncio
-async def test_handle_stream_message_error_uses_sse_format():
-    """
-    Test that when A2A SDK is not available, the error stream also uses
-    text/event-stream with SSE framing.
-    """
-    with patch(
-        "litellm.a2a_protocol.main.A2A_SDK_AVAILABLE",
-        False,
-    ):
-        from litellm.proxy.agent_endpoints.a2a_endpoints import (
-            _handle_stream_message,
-        )
-
-        response = await _handle_stream_message(
-            api_base=None,
-            request_id="err-id",
-            params={},
-        )
-
-        assert response.media_type == "text/event-stream"
-
-        body_parts = []
-        async for chunk in response.body_iterator:
-            body_parts.append(chunk)
-
-        assert len(body_parts) == 1
-        part = body_parts[0]
-        assert part.startswith("data: ")
-        assert part.endswith("\n\n")
-        payload = json.loads(part[len("data: "):-2])
-        assert payload["error"]["code"] == -32603

From 2a3843aa572d773bc1bfe733e25bbe31e3ead8aa Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 4 Feb 2026 16:37:40 -0800
Subject: [PATCH 10/21] [Fix] inconsistent response format in
 anthropic.messages.acreate() when using non anthropic providers  (#20442)

* _translate_openai_content_to_anthropic

* test_response_format_consistency

* test fixes unit tests

* test fix

* fix: use dict access for anthropic content blocks in tests (#20447)

The translate_openai_response_to_anthropic method returns dicts, not objects.
Changed .type/.text/.thinking attribute access to dict ['key'] access.

---------

Co-authored-by: shin-bot-litellm <shin-bot-litellm@berri.ai>
---
 .../adapters/transformation.py                | 28 ++------
 .../base_anthropic_unified_messages_test.py   | 61 +++++++++++++++++
 .../test_anthropic_messages_passthrough.py    |  2 +-
 ...al_pass_through_adapters_transformation.py | 66 +++++++++----------
 4 files changed, 102 insertions(+), 55 deletions(-)

diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
index 444f821c20a..169b138a5f7 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
@@ -939,22 +939,8 @@ class LiteLLMAnthropicMessagesAdapter:
         self,
         choices: List[Choices],
         tool_name_mapping: Optional[Dict[str, str]] = None,
-    ) -> List[
-        Union[
-            AnthropicResponseContentBlockText,
-            AnthropicResponseContentBlockToolUse,
-            AnthropicResponseContentBlockThinking,
-            AnthropicResponseContentBlockRedactedThinking,
-        ]
-    ]:
-        new_content: List[
-            Union[
-                AnthropicResponseContentBlockText,
-                AnthropicResponseContentBlockToolUse,
-                AnthropicResponseContentBlockThinking,
-                AnthropicResponseContentBlockRedactedThinking,
-            ]
-        ] = []
+    ) -> List[Dict[str, Any]]:
+        new_content: List[Dict[str, Any]] = []
         for choice in choices:
             # Handle thinking blocks first
             if (
@@ -978,7 +964,7 @@ class LiteLLMAnthropicMessagesAdapter:
                                     if signature_value is not None
                                     else None
                                 ),
-                            )
+                            ).model_dump()
                         )
                     elif thinking_block.get("type") == "redacted_thinking":
                         data_value = thinking_block.get("data", "")
@@ -986,7 +972,7 @@ class LiteLLMAnthropicMessagesAdapter:
                             AnthropicResponseContentBlockRedactedThinking(
                                 type="redacted_thinking",
                                 data=str(data_value) if data_value is not None else "",
-                            )
+                            ).model_dump()
                         )
             # Handle reasoning_content when thinking_blocks is not present
             elif (
@@ -998,7 +984,7 @@ class LiteLLMAnthropicMessagesAdapter:
                         type="thinking",
                         thinking=str(choice.message.reasoning_content),
                         signature=None,
-                    )
+                    ).model_dump()
                 )
 
             # Handle text content
@@ -1006,7 +992,7 @@ class LiteLLMAnthropicMessagesAdapter:
                 new_content.append(
                     AnthropicResponseContentBlockText(
                         type="text", text=choice.message.content
-                    )
+                    ).model_dump()
                 )
             # Handle tool calls (in parallel to text content)
             if (
@@ -1044,7 +1030,7 @@ class LiteLLMAnthropicMessagesAdapter:
                         tool_use_block.provider_specific_fields = (
                             provider_specific_fields
                         )
-                    new_content.append(tool_use_block)
+                    new_content.append(tool_use_block.model_dump())
 
         return new_content
 
diff --git a/tests/pass_through_unit_tests/base_anthropic_unified_messages_test.py b/tests/pass_through_unit_tests/base_anthropic_unified_messages_test.py
index b334966b441..2ebf9174e29 100644
--- a/tests/pass_through_unit_tests/base_anthropic_unified_messages_test.py
+++ b/tests/pass_through_unit_tests/base_anthropic_unified_messages_test.py
@@ -130,6 +130,67 @@ class BaseAnthropicMessagesTest:
         return collected_chunks
 
 
+    @pytest.mark.asyncio
+    async def test_response_format_consistency(self):
+        """
+        Test that response content blocks are consistently dicts (not Pydantic objects).
+        
+        This ensures that code like response["content"][0]["type"] works 
+        regardless of the target provider.
+        
+        Issue: https://github.com/BerriAI/litellm/issues/20342
+        """
+        litellm._turn_on_debug()
+        
+        request_params = self.model_config
+        
+        # Set up test parameters
+        messages = [{"role": "user", "content": "Say hi"}]
+        
+        # Prepare call arguments
+        call_args = {
+            "messages": messages,
+            "max_tokens": 100,
+        }
+        
+        # Add any additional config from subclass
+        call_args.update(request_params)
+        
+        # Call the handler
+        response = await litellm.anthropic.messages.acreate(**call_args)
+        
+        print(f"Response for {request_params['model']}: {json.dumps(response, indent=2, default=str)}")
+        
+        # Verify response structure
+        assert "content" in response, "Response should have 'content' field"
+        assert len(response["content"]) > 0, "Response content should not be empty"
+        
+        # Get the first content block
+        block = response["content"][0]
+        
+        # Check that the block is a dict, not a Pydantic object
+        assert isinstance(block, dict), (
+            f"Content block should be a dict, but got {type(block)}. "
+            f"This means response format is inconsistent across providers."
+        )
+        
+        # Verify we can access fields using dict syntax (not object attributes)
+        try:
+            block_type = block["type"]
+            print(f"✓ Successfully accessed block['type']: {block_type}")
+        except TypeError as e:
+            pytest.fail(
+                f"Cannot access content block using dict syntax: {e}. "
+                f"Block type: {type(block)}"
+            )
+        
+        # Verify the block has expected structure
+        assert "type" in block, "Content block should have 'type' field"
+        if block["type"] == "text":
+            assert "text" in block, "Text content block should have 'text' field"
+        
+        print(f"✓ Response format consistency test passed for {request_params['model']}")
+
     @pytest.mark.asyncio
     async def test_anthropic_messages_litellm_router_streaming_with_logging(self):
         """
diff --git a/tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py b/tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py
index 17e72f29152..0a581fb512d 100644
--- a/tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py
+++ b/tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py
@@ -876,4 +876,4 @@ def test_sync_openai_messages():
 
     assert response is not None
     assert isinstance(response, dict)
-    assert response["content"][0].text is not None
+    assert response["content"][0]["text"] is not None
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
index 6a5c022ac7a..b228a51447b 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
@@ -341,10 +341,10 @@ def test_translate_openai_content_to_anthropic_empty_function_arguments():
     result = adapter._translate_openai_content_to_anthropic(choices=openai_choices)
 
     assert len(result) == 1
-    assert result[0].type == "tool_use"
-    assert result[0].id == "call_empty_args"
-    assert result[0].name == "test_function"
-    assert result[0].input == {}, "Empty function arguments should result in empty dict"
+    assert result[0]["type"] == "tool_use"
+    assert result[0]["id"] == "call_empty_args"
+    assert result[0]["name"] == "test_function"
+    assert result[0]["input"] == {}, "Empty function arguments should result in empty dict"
 
 
 def test_translate_openai_content_to_anthropic_text_and_tool_calls():
@@ -372,12 +372,12 @@ def test_translate_openai_content_to_anthropic_text_and_tool_calls():
     result = adapter._translate_openai_content_to_anthropic(choices=openai_choices)
 
     assert len(result) == 2
-    assert result[0].type == "text"
-    assert result[0].text == "Calling get_weather now."
-    assert result[1].type == "tool_use"
-    assert result[1].id == "call_weather"
-    assert result[1].name == "get_weather"
-    assert result[1].input == {"location": "Boston"}
+    assert result[0]["type"] == "text"
+    assert result[0]["text"] == "Calling get_weather now."
+    assert result[1]["type"] == "tool_use"
+    assert result[1]["id"] == "call_weather"
+    assert result[1]["name"] == "get_weather"
+    assert result[1]["input"] == {"location": "Boston"}
 
 
 def test_translate_openai_response_to_anthropic_text_and_tool_calls():
@@ -414,11 +414,11 @@ def test_translate_openai_response_to_anthropic_text_and_tool_calls():
     anthropic_content = anthropic_response.get("content")
     assert anthropic_content is not None
     assert len(anthropic_content) == 2
-    assert cast(Any, anthropic_content[0]).type == "text"
-    assert cast(Any, anthropic_content[0]).text == "Let me grab the current weather."
-    assert cast(Any, anthropic_content[1]).type == "tool_use"
-    assert cast(Any, anthropic_content[1]).id == "call_tool_combo"
-    assert cast(Any, anthropic_content[1]).input == {"location": "Paris"}
+    assert anthropic_content[0]["type"] == "text"
+    assert anthropic_content[0]["text"] == "Let me grab the current weather."
+    assert anthropic_content[1]["type"] == "tool_use"
+    assert anthropic_content[1]["id"] == "call_tool_combo"
+    assert anthropic_content[1]["input"] == {"location": "Paris"}
     assert anthropic_response.get("stop_reason") == "tool_use"
 
 
@@ -484,11 +484,11 @@ def test_translate_openai_content_to_anthropic_thinking_and_redacted_thinking():
     result = adapter._translate_openai_content_to_anthropic(choices=openai_choices)
 
     assert len(result) == 2
-    assert result[0].type == "thinking"
-    assert result[0].thinking == "I need to summar"
-    assert result[0].signature == "sigsig"
-    assert result[1].type == "redacted_thinking"
-    assert result[1].data == "REDACTED"
+    assert result[0]["type"] == "thinking"
+    assert result[0]["thinking"] == "I need to summar"
+    assert result[0]["signature"] == "sigsig"
+    assert result[1]["type"] == "redacted_thinking"
+    assert result[1]["data"] == "REDACTED"
 
 
 def test_translate_streaming_openai_chunk_to_anthropic_with_thinking():
@@ -1443,13 +1443,13 @@ def test_translate_openai_content_to_anthropic_reasoning_content_without_thinkin
 
     assert len(result) == 2
     # First block should be thinking block with reasoning_content
-    assert result[0].type == "thinking"
-    assert "Considering Letter Frequency" in result[0].thinking
-    assert "Calculating the Count" in result[0].thinking
-    assert result[0].signature is None
+    assert result[0]["type"] == "thinking"
+    assert "Considering Letter Frequency" in result[0]["thinking"]
+    assert "Calculating the Count" in result[0]["thinking"]
+    assert result[0]["signature"] is None
     # Second block should be text block with content
-    assert result[1].type == "text"
-    assert result[1].text == "There are **3** \"r\"s in the word strawberry."
+    assert result[1]["type"] == "text"
+    assert result[1]["text"] == "There are **3** \"r\"s in the word strawberry."
 
 
 def test_translate_streaming_openai_chunk_to_anthropic_reasoning_content_without_thinking_blocks():
@@ -1522,13 +1522,13 @@ def test_translate_openai_response_to_anthropic_with_reasoning_content_only():
     assert len(anthropic_content) == 2
     
     # First block should be thinking
-    assert cast(Any, anthropic_content[0]).type == "thinking"
-    assert "Considering Letter Frequency" in cast(Any, anthropic_content[0]).thinking
-    assert cast(Any, anthropic_content[0]).signature is None
+    assert anthropic_content[0]["type"] == "thinking"
+    assert "Considering Letter Frequency" in anthropic_content[0]["thinking"]
+    assert anthropic_content[0].get("signature") is None
     
     # Second block should be text
-    assert cast(Any, anthropic_content[1]).type == "text"
-    assert cast(Any, anthropic_content[1]).text == "There are **3** \"r\"s in the word strawberry."
+    assert anthropic_content[1]["type"] == "text"
+    assert anthropic_content[1]["text"] == "There are **3** \"r\"s in the word strawberry."
     
     assert anthropic_response.get("stop_reason") == "end_turn"
 
@@ -1702,7 +1702,7 @@ def test_translate_openai_response_restores_tool_names():
     )
 
     # Find the tool_use block in the response
-    tool_use_blocks = [c for c in result["content"] if getattr(c, "type", None) == "tool_use"]
+    tool_use_blocks = [c for c in result["content"] if c.get("type") == "tool_use"]
     assert len(tool_use_blocks) == 1
     # Name should be restored to original
-    assert getattr(tool_use_blocks[0], "name", None) == original_name
+    assert tool_use_blocks[0]["name"] == original_name

From 15b717c3005ddecc50cb2d0b17c7d80365d08145 Mon Sep 17 00:00:00 2001
From: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Date: Wed, 4 Feb 2026 18:38:53 -0800
Subject: [PATCH 11/21] [Feat] UI - Add support for MCP Semantic Filtering on
 UI (#20454)

* feat: remove_callbacks_by_type

* feat: _init_semantic_filter_settings_in_db

* add MCP semantic filtering settings endpoints

* v0 - semantic filter UI

* fix endpint _init_semantic_filter_settings_in_db

* refactor ui

* add LITELLM_UI_ALLOW_HEADERS

* ui fix

* ui fix
---
 litellm/constants.py                          |   5 +
 .../logging_callback_manager.py               |  21 ++
 litellm/proxy/agent_endpoints/a2a_routing.py  |   2 +-
 litellm/proxy/proxy_server.py                 |  89 +++++
 litellm/proxy/route_llm_request.py            |   5 +-
 .../proxy_setting_endpoints.py                | 100 +++++-
 .../useMCPSemanticFilterSettings.ts           |  19 ++
 .../useUpdateMCPSemanticFilterSettings.ts     |  25 ++
 .../MCPSemanticFilterSettings.tsx             | 312 ++++++++++++++++++
 .../MCPSemanticFilterTestPanel.tsx            | 164 +++++++++
 .../semanticFilterTestUtils.ts                |  95 ++++++
 .../src/components/mcp_tools/mcp_servers.tsx  |   5 +
 .../src/components/networking.tsx             | 131 ++++++++
 13 files changed, 970 insertions(+), 3 deletions(-)
 create mode 100644 ui/litellm-dashboard/src/app/(dashboard)/hooks/mcpSemanticFilterSettings/useMCPSemanticFilterSettings.ts
 create mode 100644 ui/litellm-dashboard/src/app/(dashboard)/hooks/mcpSemanticFilterSettings/useUpdateMCPSemanticFilterSettings.ts
 create mode 100644 ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings.tsx
 create mode 100644 ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterTestPanel.tsx
 create mode 100644 ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/semanticFilterTestUtils.ts

diff --git a/litellm/constants.py b/litellm/constants.py
index 444e78f8ed4..872ad899f84 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -81,6 +81,11 @@ MAX_MCP_SEMANTIC_FILTER_TOOLS_HEADER_LENGTH = int(
     os.getenv("MAX_MCP_SEMANTIC_FILTER_TOOLS_HEADER_LENGTH", 150)
 )
 
+LITELLM_UI_ALLOW_HEADERS = [
+    "x-litellm-semantic-filter",
+    "x-litellm-semantic-filter-tools",
+]
+
 # Gemini model-specific minimal thinking budget constants
 DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET_GEMINI_2_5_FLASH = int(
     os.getenv("DEFAULT_REASONING_EFFORT_MINIMAL_THINKING_BUDGET_GEMINI_2_5_FLASH", 1)
diff --git a/litellm/litellm_core_utils/logging_callback_manager.py b/litellm/litellm_core_utils/logging_callback_manager.py
index 4f76a5bad03..435ae078a65 100644
--- a/litellm/litellm_core_utils/logging_callback_manager.py
+++ b/litellm/litellm_core_utils/logging_callback_manager.py
@@ -114,6 +114,27 @@ class LoggingCallbackManager:
         for c in remove_list:
             callback_list.remove(c)
 
+    def remove_callbacks_by_type(self, callback_list, callback_type):
+        """
+        Remove all callbacks of a specific type from a callback list.
+        
+        Args:
+            callback_list: The list to remove callbacks from (e.g., litellm.callbacks)
+            callback_type: The class type to match (e.g., SemanticToolFilterHook)
+            
+        Example:
+            litellm.logging_callback_manager.remove_callbacks_by_type(
+                litellm.callbacks, SemanticToolFilterHook
+            )
+        """
+        if not isinstance(callback_list, list):
+            return
+
+        remove_list = [c for c in callback_list if isinstance(c, callback_type)]
+
+        for c in remove_list:
+            callback_list.remove(c)
+
     def _add_string_callback_to_list(
         self, callback: str, parent_list: List[Union[CustomLogger, Callable, str]]
     ):
diff --git a/litellm/proxy/agent_endpoints/a2a_routing.py b/litellm/proxy/agent_endpoints/a2a_routing.py
index 8e4c705df21..cb277d44ee9 100644
--- a/litellm/proxy/agent_endpoints/a2a_routing.py
+++ b/litellm/proxy/agent_endpoints/a2a_routing.py
@@ -11,7 +11,7 @@ import litellm
 from litellm._logging import verbose_proxy_logger
 
 
-async def route_a2a_agent_request(data: dict, route_type: str) -> Optional[Any]:
+def route_a2a_agent_request(data: dict, route_type: str) -> Optional[Any]:
     """
     Route A2A agent requests directly to litellm with injected API base.
     
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index b06071481eb..022626e2992 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -47,6 +47,7 @@ from litellm.constants import (
     DEFAULT_SLACK_ALERTING_THRESHOLD,
     LITELLM_EMBEDDING_PROVIDERS_SUPPORTING_INPUT_ARRAY_OF_TOKENS,
     LITELLM_SETTINGS_SAFE_DB_OVERRIDES,
+    LITELLM_UI_ALLOW_HEADERS,
 )
 from litellm.litellm_core_utils.litellm_logging import (
     _init_custom_logger_compatible_class,
@@ -1214,6 +1215,7 @@ app.add_middleware(
     allow_credentials=True,
     allow_methods=["*"],
     allow_headers=["*"],
+    expose_headers=LITELLM_UI_ALLOW_HEADERS,
 )
 
 app.add_middleware(PrometheusAuthMiddleware)
@@ -3920,6 +3922,93 @@ class ProxyConfig:
                 prisma_client=prisma_client, proxy_config=self
             )
 
+        if self._should_load_db_object(object_type="semantic_filter_settings"):
+            await self._init_semantic_filter_settings_in_db(
+                prisma_client=prisma_client
+            )
+
+    async def _init_semantic_filter_settings_in_db(self, prisma_client: PrismaClient):
+        """
+        Initialize MCP semantic filter settings from database.
+        Called periodically (approximately every 10 seconds) by background task to hot-reload settings across all pods.
+        """
+        import json
+
+        import litellm
+        from litellm.proxy.hooks.mcp_semantic_filter import SemanticToolFilterHook
+
+        try:
+            # Load litellm_settings from DB
+            config_record = await prisma_client.db.litellm_config.find_unique(
+                where={"param_name": "litellm_settings"}
+            )
+
+            if config_record is None or config_record.param_value is None:
+                return
+
+            litellm_settings = config_record.param_value
+            if isinstance(litellm_settings, str):
+                litellm_settings = json.loads(litellm_settings)
+
+            mcp_semantic_filter_config = litellm_settings.get(
+                "mcp_semantic_tool_filter", None
+            )
+
+            if mcp_semantic_filter_config is None:
+                return
+
+            # Check if settings have changed (compare with in-memory state)
+            if hasattr(self, "_last_semantic_filter_config"):
+                if self._last_semantic_filter_config == mcp_semantic_filter_config:
+                    # If hook is missing or router isn't built yet, reinitialize anyway
+                    active_hooks = (
+                        litellm.logging_callback_manager.get_custom_loggers_for_type(
+                            SemanticToolFilterHook
+                        )
+                    )
+                    if active_hooks:
+                        for active_hook in active_hooks:
+                            if isinstance(active_hook, SemanticToolFilterHook):
+                                if (
+                                    active_hook.filter is not None
+                                    and active_hook.filter.tool_router is not None
+                                ):
+                                    verbose_proxy_logger.debug(
+                                        "Semantic filter settings unchanged, skipping reinitialization"
+                                    )
+                                    return
+                    verbose_proxy_logger.info(
+                        "Semantic filter settings unchanged, but hook is missing or uninitialized. Reinitializing."
+                    )
+
+            # Remove old hooks using logging callback manager
+            litellm.logging_callback_manager.remove_callbacks_by_type(
+                litellm.callbacks, SemanticToolFilterHook
+            )
+
+            # Initialize new hook if enabled
+            if mcp_semantic_filter_config.get("enabled", False):
+                global llm_router
+                hook = await SemanticToolFilterHook.initialize_from_config(
+                    config=mcp_semantic_filter_config,
+                    llm_router=llm_router,
+                )
+                if hook:
+                    litellm.logging_callback_manager.add_litellm_callback(hook)
+                    verbose_proxy_logger.info(
+                        "MCP Semantic Filter reinitialized from DB"
+                    )
+            else:
+                verbose_proxy_logger.info("MCP Semantic Filter disabled")
+
+            # Store current config for comparison next time
+            self._last_semantic_filter_config = mcp_semantic_filter_config.copy()
+
+        except Exception as e:
+            verbose_proxy_logger.exception(
+                f"Error initializing semantic filter settings from DB: {e}"
+            )
+
     async def _init_sso_settings_in_db(self, prisma_client: PrismaClient):
         """
         Initialize SSO settings from database into the router on startup.
diff --git a/litellm/proxy/route_llm_request.py b/litellm/proxy/route_llm_request.py
index 39ef5fdd1d5..92fb88f7147 100644
--- a/litellm/proxy/route_llm_request.py
+++ b/litellm/proxy/route_llm_request.py
@@ -332,7 +332,10 @@ async def route_request(
                     route_a2a_agent_request,
                 )
                 
-                return await route_a2a_agent_request(data, route_type)
+                result = route_a2a_agent_request(data, route_type)
+                if result is not None:
+                    return result
+                # Fall through to raise exception below if result is None
 
     elif user_model is not None:
         return getattr(litellm, f"{route_type}")(**data)
diff --git a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py
index 30ec0766dbf..a308d0b2703 100644
--- a/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py
+++ b/litellm/proxy/ui_crud_endpoints/proxy_setting_endpoints.py
@@ -98,6 +98,40 @@ ALLOWED_UI_SETTINGS_FIELDS = {
 }
 
 
+class MCPSemanticFilterSettings(BaseModel):
+    """Configuration for MCP Semantic Tool Filter"""
+
+    enabled: bool = Field(
+        default=False,
+        description="Enable semantic filtering of MCP tools based on query relevance",
+    )
+
+    embedding_model: str = Field(
+        default="text-embedding-3-small",
+        description="Embedding model to use for semantic similarity (e.g., 'text-embedding-3-small', 'text-embedding-ada-002')",
+    )
+
+    top_k: int = Field(
+        default=10,
+        description="Number of most relevant tools to return",
+        ge=1,
+        le=100,
+    )
+
+    similarity_threshold: float = Field(
+        default=0.3,
+        description="Minimum similarity score for tool inclusion (0.0 to 1.0, where 1.0 = exact match)",
+        ge=0.0,
+        le=1.0,
+    )
+
+
+class MCPSemanticFilterSettingsResponse(SettingsResponse):
+    """Response model for MCP semantic filter settings"""
+
+    pass
+
+
 @router.get(
     "/get/allowed_ips",
     tags=["Budget & Spend Tracking"],
@@ -325,7 +359,7 @@ async def update_default_team_member_budget(
 
 
 async def _update_litellm_setting(
-    settings: Union[DefaultInternalUserParams, DefaultTeamSSOParams],
+    settings: Union[DefaultInternalUserParams, DefaultTeamSSOParams, MCPSemanticFilterSettings],
     settings_key: str,
     in_memory_var: Any,
     success_message: str,
@@ -769,6 +803,70 @@ async def update_ui_theme_settings(theme_config: UIThemeConfig):
     }
 
 
+@router.get(
+    "/get/mcp_semantic_filter_settings",
+    tags=["Settings"],
+    dependencies=[Depends(user_api_key_auth)],
+    response_model=MCPSemanticFilterSettingsResponse,
+)
+async def get_mcp_semantic_filter_settings(
+    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+):
+    """
+    Get MCP semantic filter configuration.
+    Returns current settings for semantic tool filtering.
+    """
+    from litellm.proxy.proxy_server import prisma_client, proxy_config
+
+    if prisma_client is None:
+        raise HTTPException(
+            status_code=500,
+            detail={"error": "Database not connected. Please connect a database."},
+        )
+
+    config = await proxy_config.get_config()
+
+    return await _get_settings_with_schema(
+        settings_key="mcp_semantic_tool_filter",
+        settings_class=MCPSemanticFilterSettings,
+        config=config,
+    )
+
+
+@router.patch(
+    "/update/mcp_semantic_filter_settings",
+    tags=["Settings"],
+    dependencies=[Depends(user_api_key_auth)],
+)
+async def update_mcp_semantic_filter_settings(
+    settings: MCPSemanticFilterSettings,
+    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
+):
+    """
+    Update MCP semantic filter settings in database.
+    Settings will be picked up by all pods within approximately 10 seconds via background polling.
+    """
+    result = await _update_litellm_setting(
+        settings=settings,
+        settings_key="mcp_semantic_tool_filter",
+        in_memory_var=None,
+        success_message="MCP Semantic Filter settings updated successfully. Changes will be applied across all pods within 10 seconds.",
+    )
+    try:
+        from litellm.proxy.proxy_server import prisma_client, proxy_config
+
+        if prisma_client is not None:
+            await proxy_config._init_semantic_filter_settings_in_db(
+                prisma_client=prisma_client
+            )
+    except Exception as e:
+        verbose_proxy_logger.warning(
+            f"Failed to reinitialize MCP semantic filter settings immediately: {e}"
+        )
+
+    return result
+
+
 @router.get(
     "/in_product_nudges",
     tags=["UI Settings"],
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/mcpSemanticFilterSettings/useMCPSemanticFilterSettings.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/mcpSemanticFilterSettings/useMCPSemanticFilterSettings.ts
new file mode 100644
index 00000000000..e91f5aa670b
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/mcpSemanticFilterSettings/useMCPSemanticFilterSettings.ts
@@ -0,0 +1,19 @@
+import { getMCPSemanticFilterSettings } from "@/components/networking";
+import { useQuery } from "@tanstack/react-query";
+import { createQueryKeys } from "../common/queryKeysFactory";
+import useAuthorized from "../useAuthorized";
+
+const mcpSemanticFilterSettingsKeys = createQueryKeys(
+  "mcpSemanticFilterSettings"
+);
+
+export const useMCPSemanticFilterSettings = () => {
+  const { accessToken } = useAuthorized();
+  return useQuery<Record<string, any>>({
+    queryKey: mcpSemanticFilterSettingsKeys.list({}),
+    queryFn: async () => await getMCPSemanticFilterSettings(accessToken),
+    enabled: !!accessToken,
+    staleTime: 60 * 60 * 1000, // 1 hour
+    gcTime: 60 * 60 * 1000, // 1 hour
+  });
+};
diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/mcpSemanticFilterSettings/useUpdateMCPSemanticFilterSettings.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/mcpSemanticFilterSettings/useUpdateMCPSemanticFilterSettings.ts
new file mode 100644
index 00000000000..2062b4f4c29
--- /dev/null
+++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/mcpSemanticFilterSettings/useUpdateMCPSemanticFilterSettings.ts
@@ -0,0 +1,25 @@
+import { updateMCPSemanticFilterSettings } from "@/components/networking";
+import { useMutation, useQueryClient } from "@tanstack/react-query";
+import { createQueryKeys } from "../common/queryKeysFactory";
+
+const mcpSemanticFilterSettingsKeys = createQueryKeys(
+  "mcpSemanticFilterSettings"
+);
+
+export const useUpdateMCPSemanticFilterSettings = (accessToken: string) => {
+  const queryClient = useQueryClient();
+
+  return useMutation({
+    mutationFn: async (settings: Record<string, any>) => {
+      if (!accessToken) {
+        throw new Error("Access token is required");
+      }
+      return updateMCPSemanticFilterSettings(accessToken, settings);
+    },
+    onSuccess: () => {
+      queryClient.invalidateQueries({
+        queryKey: mcpSemanticFilterSettingsKeys.all,
+      });
+    },
+  });
+};
diff --git a/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings.tsx b/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings.tsx
new file mode 100644
index 00000000000..6e669f74ab3
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings.tsx
@@ -0,0 +1,312 @@
+"use client";
+
+import { useMCPSemanticFilterSettings } from "@/app/(dashboard)/hooks/mcpSemanticFilterSettings/useMCPSemanticFilterSettings";
+import { useUpdateMCPSemanticFilterSettings } from "@/app/(dashboard)/hooks/mcpSemanticFilterSettings/useUpdateMCPSemanticFilterSettings";
+import NotificationManager from "@/components/molecules/notifications_manager";
+import {
+  Alert,
+  Button,
+  Card,
+  Col,
+  Form,
+  InputNumber,
+  Row,
+  Select,
+  Skeleton,
+  Slider,
+  Space,
+  Switch,
+  Typography,
+  Tooltip,
+} from "antd";
+import { QuestionCircleOutlined, CheckCircleOutlined, SaveOutlined } from "@ant-design/icons";
+import { useEffect, useState } from "react";
+import { fetchAvailableModels, ModelGroup } from "@/components/playground/llm_calls/fetch_models";
+import MCPSemanticFilterTestPanel from "./MCPSemanticFilterTestPanel";
+import { getCurlCommand, runSemanticFilterTest, TestResult } from "./semanticFilterTestUtils";
+
+interface MCPSemanticFilterSettingsProps {
+  accessToken: string | null;
+}
+
+export default function MCPSemanticFilterSettings({ accessToken }: MCPSemanticFilterSettingsProps) {
+  const { data, isLoading, isError, error } = useMCPSemanticFilterSettings();
+  const {
+    mutate: updateSettings,
+    isPending: isUpdating,
+    error: updateError,
+  } = useUpdateMCPSemanticFilterSettings(accessToken || "");
+  const [form] = Form.useForm();
+  const [saveSuccess, setSaveSuccess] = useState(false);
+  const [isDirty, setIsDirty] = useState(false);
+  const [embeddingModels, setEmbeddingModels] = useState<ModelGroup[]>([]);
+  const [loadingModels, setLoadingModels] = useState(true);
+  
+  // Test section state
+  const [testQuery, setTestQuery] = useState("");
+  const [testModel, setTestModel] = useState<string>("gpt-4o");
+  const [testResult, setTestResult] = useState<TestResult | null>(null);
+  const [isTesting, setIsTesting] = useState(false);
+  const [showCurl, setShowCurl] = useState(false);
+
+  const schema = data?.field_schema;
+  const values = data?.values ?? {};
+
+  useEffect(() => {
+    const loadEmbeddingModels = async () => {
+      if (!accessToken) return;
+      try {
+        setLoadingModels(true);
+        const models = await fetchAvailableModels(accessToken);
+        const embeddingOnly = models.filter((model) => model.mode === "embedding");
+        setEmbeddingModels(embeddingOnly);
+      } catch (error) {
+        console.error("Error fetching embedding models:", error);
+      } finally {
+        setLoadingModels(false);
+      }
+    };
+
+    loadEmbeddingModels();
+  }, [accessToken]);
+
+  useEffect(() => {
+    if (values) {
+      form.setFieldsValue({
+        enabled: values.enabled ?? false,
+        embedding_model: values.embedding_model ?? "text-embedding-3-small",
+        top_k: values.top_k ?? 10,
+        similarity_threshold: values.similarity_threshold ?? 0.3,
+      });
+      setIsDirty(false);
+    }
+  }, [values, form]);
+
+  const handleSave = async () => {
+    try {
+      const formValues = await form.validateFields();
+      updateSettings(formValues, {
+        onSuccess: () => {
+          setIsDirty(false);
+          setSaveSuccess(true);
+          setTimeout(() => setSaveSuccess(false), 3000);
+          NotificationManager.success(
+            "Settings updated successfully. Changes will be applied across all pods within 10 seconds."
+          );
+        },
+        onError: (error) => {
+          NotificationManager.fromBackend(error);
+        },
+      });
+    } catch (error) {
+      console.error("Form validation failed:", error);
+    }
+  };
+
+  const handleTest = async () => {
+    if (!accessToken) {
+      return;
+    }
+
+    await runSemanticFilterTest({
+      accessToken,
+      testModel,
+      testQuery,
+      setIsTesting,
+      setTestResult,
+    });
+  };
+
+  if (!accessToken) {
+    return (
+      <div className="p-6 text-center text-gray-500">
+        Please log in to configure semantic filter settings.
+      </div>
+    );
+  }
+
+  return (
+    <div style={{ width: "100%" }}>
+      {isLoading ? (
+        <Skeleton active />
+      ) : isError ? (
+        <Alert
+          type="error"
+          message="Could not load MCP Semantic Filter settings"
+          description={error instanceof Error ? error.message : undefined}
+          style={{ marginBottom: 24 }}
+        />
+      ) : (
+        <>
+          <Alert
+            type="info"
+            message="Semantic Tool Filtering"
+            description="Filter MCP tools semantically based on query relevance. This reduces context window size and improves tool selection accuracy. Click 'Save Settings' to apply changes across all pods (takes effect within 10 seconds)."
+            showIcon
+            style={{ marginBottom: 24 }}
+          />
+
+          {saveSuccess && (
+            <Alert
+              type="success"
+              message="Settings saved successfully"
+              icon={<CheckCircleOutlined />}
+              showIcon
+              closable
+              style={{ marginBottom: 16 }}
+            />
+          )}
+
+          {updateError && (
+            <Alert
+              type="error"
+              message="Could not update settings"
+              description={
+                updateError instanceof Error ? updateError.message : undefined
+              }
+              style={{ marginBottom: 16 }}
+            />
+          )}
+
+          <Row gutter={24}>
+            {/* Left Column - Settings */}
+            <Col xs={24} lg={12}>
+              <Form
+                form={form}
+                layout="vertical"
+                disabled={isUpdating}
+                onValuesChange={() => {
+                  setIsDirty(true);
+                }}
+              >
+                <Card style={{ marginBottom: 16 }}>
+                  <Form.Item
+                    name="enabled"
+                    label={
+                      <Space>
+                        <Typography.Text strong>Enable Semantic Filtering</Typography.Text>
+                        <Tooltip title="When enabled, only the most relevant MCP tools will be included in requests based on semantic similarity">
+                          <QuestionCircleOutlined style={{ color: "#8c8c8c" }} />
+                        </Tooltip>
+                      </Space>
+                    }
+                    valuePropName="checked"
+                  >
+                    <Switch disabled={isUpdating} />
+                  </Form.Item>
+                  
+                  <Typography.Text type="secondary" style={{ display: "block", marginTop: -16, marginBottom: 16 }}>
+                    {schema?.properties?.enabled?.description}
+                  </Typography.Text>
+                </Card>
+
+                <Card title="Configuration" style={{ marginBottom: 16 }}>
+                  <Form.Item
+                    name="embedding_model"
+                    label={
+                      <Space>
+                        <Typography.Text strong>Embedding Model</Typography.Text>
+                        <Tooltip title="The model used to generate embeddings for semantic matching">
+                          <QuestionCircleOutlined style={{ color: "#8c8c8c" }} />
+                        </Tooltip>
+                      </Space>
+                    }
+                  >
+                    <Select
+                      options={embeddingModels.map((model) => ({
+                        label: model.model_group,
+                        value: model.model_group,
+                      }))}
+                      placeholder={loadingModels ? "Loading models..." : "Select embedding model"}
+                      showSearch
+                      disabled={isUpdating || loadingModels}
+                      loading={loadingModels}
+                      notFoundContent={
+                        loadingModels ? "Loading..." : "No embedding models available"
+                      }
+                    />
+                  </Form.Item>
+
+                  <Form.Item
+                    name="top_k"
+                    label={
+                      <Space>
+                        <Typography.Text strong>Top K Results</Typography.Text>
+                        <Tooltip title="Maximum number of tools to return after filtering">
+                          <QuestionCircleOutlined style={{ color: "#8c8c8c" }} />
+                        </Tooltip>
+                      </Space>
+                    }
+                  >
+                    <InputNumber
+                      min={1}
+                      max={100}
+                      style={{ width: "100%" }}
+                      disabled={isUpdating}
+                    />
+                  </Form.Item>
+
+                  <Form.Item
+                    name="similarity_threshold"
+                    label={
+                      <Space>
+                        <Typography.Text strong>Similarity Threshold</Typography.Text>
+                        <Tooltip title="Minimum similarity score (0-1) for a tool to be included">
+                          <QuestionCircleOutlined style={{ color: "#8c8c8c" }} />
+                        </Tooltip>
+                      </Space>
+                    }
+                  >
+                    <Slider
+                      min={0}
+                      max={1}
+                      step={0.05}
+                      marks={{
+                        0: "0.0",
+                        0.3: "0.3",
+                        0.5: "0.5",
+                        0.7: "0.7",
+                        1: "1.0",
+                      }}
+                      disabled={isUpdating}
+                    />
+                  </Form.Item>
+                </Card>
+
+                <div style={{ display: "flex", justifyContent: "flex-end", gap: 8 }}>
+                  <Button
+                    type="primary"
+                    icon={<SaveOutlined />}
+                    onClick={handleSave}
+                    loading={isUpdating}
+                    disabled={!isDirty}
+                  >
+                    Save Settings
+                  </Button>
+                </div>
+              </Form>
+            </Col>
+
+            {/* Right Column - Test Configuration */}
+            <Col xs={24} lg={12}>
+              <MCPSemanticFilterTestPanel
+                accessToken={accessToken}
+                testQuery={testQuery}
+                setTestQuery={setTestQuery}
+                testModel={testModel}
+                setTestModel={setTestModel}
+                isTesting={isTesting}
+                onTest={handleTest}
+                filterEnabled={!!values.enabled}
+                testResult={testResult}
+                showCurl={showCurl}
+                setShowCurl={setShowCurl}
+                curlCommand={getCurlCommand(testModel, testQuery)}
+              />
+            </Col>
+          </Row>
+        </>
+      )}
+    </div>
+  );
+}
diff --git a/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterTestPanel.tsx b/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterTestPanel.tsx
new file mode 100644
index 00000000000..084de740014
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterTestPanel.tsx
@@ -0,0 +1,164 @@
+import { CodeOutlined, PlayCircleOutlined } from "@ant-design/icons";
+import { Alert, Button, Card, Input, Space, Tabs, Typography } from "antd";
+import ModelSelector from "@/components/common_components/ModelSelector";
+import { TestResult } from "./semanticFilterTestUtils";
+
+interface MCPSemanticFilterTestPanelProps {
+  accessToken: string | null;
+  testQuery: string;
+  setTestQuery: (value: string) => void;
+  testModel: string;
+  setTestModel: (value: string) => void;
+  isTesting: boolean;
+  onTest: () => void;
+  filterEnabled: boolean;
+  testResult: TestResult | null;
+  curlCommand: string;
+}
+
+export default function MCPSemanticFilterTestPanel({
+  accessToken,
+  testQuery,
+  setTestQuery,
+  testModel,
+  setTestModel,
+  isTesting,
+  onTest,
+  filterEnabled,
+  testResult,
+  curlCommand,
+}: MCPSemanticFilterTestPanelProps) {
+  return (
+    <Card title="Test Configuration" style={{ marginBottom: 16 }}>
+      <Tabs
+        defaultActiveKey="test"
+        items={[
+          {
+            key: "test",
+            label: "Test",
+            children: (
+              <Space direction="vertical" style={{ width: "100%" }} size="large">
+          <div>
+            <Typography.Text strong style={{ display: "block", marginBottom: 8 }}>
+              <PlayCircleOutlined /> Test Query
+            </Typography.Text>
+            <Input.TextArea
+              placeholder="Enter a test query to see which tools would be selected..."
+              value={testQuery}
+              onChange={(e) => setTestQuery(e.target.value)}
+              rows={4}
+              disabled={isTesting}
+            />
+          </div>
+
+          <div>
+            <ModelSelector
+              accessToken={accessToken || ""}
+              value={testModel}
+              onChange={setTestModel}
+              disabled={isTesting}
+              showLabel={true}
+              labelText="Select Model"
+            />
+          </div>
+
+          <Button
+            type="primary"
+            icon={<PlayCircleOutlined />}
+            onClick={onTest}
+            loading={isTesting}
+            disabled={!testQuery || !testModel || !filterEnabled}
+            block
+          >
+            Test Filter
+          </Button>
+
+          {!filterEnabled && (
+            <Alert
+              type="warning"
+              message="Semantic filtering is disabled"
+              description="Enable semantic filtering and save settings to test the filter."
+              showIcon
+            />
+          )}
+
+          {testResult && (
+            <div>
+              <Typography.Title level={5}>Results</Typography.Title>
+              <Alert
+                type="success"
+                message={`${testResult.selectedTools} tools selected`}
+                description={`Filtered from ${testResult.totalTools} available tools`}
+                showIcon
+                style={{ marginBottom: 16 }}
+              />
+              <div>
+                <Typography.Text strong style={{ display: "block", marginBottom: 8 }}>
+                  Selected Tools:
+                </Typography.Text>
+                <ul style={{ paddingLeft: 20, margin: 0 }}>
+                  {testResult.tools.map((tool, index) => (
+                    <li key={index} style={{ marginBottom: 4 }}>
+                      <Typography.Text>{tool}</Typography.Text>
+                    </li>
+                  ))}
+                </ul>
+              </div>
+            </div>
+          )}
+              </Space>
+            ),
+          },
+          {
+            key: "api",
+            label: "API Usage",
+            children: (
+              <div>
+                <Space style={{ marginBottom: 8 }}>
+                  <CodeOutlined />
+                  <Typography.Text strong>API Usage</Typography.Text>
+                </Space>
+                <Typography.Text type="secondary" style={{ display: "block", marginBottom: 8 }}>
+                  Use this curl command to test the semantic filter with your current configuration.
+                </Typography.Text>
+            <Typography.Text strong style={{ display: "block", marginBottom: 8 }}>
+              Response headers to check:
+            </Typography.Text>
+            <ul style={{ paddingLeft: 20, margin: "0 0 12px 0" }}>
+              <li>
+                <Typography.Text>
+                  x-litellm-semantic-filter: shows total tools → selected tools
+                </Typography.Text>
+                <Typography.Text type="secondary" style={{ display: "block" }}>
+                  Example: 10→3
+                </Typography.Text>
+              </li>
+              <li>
+                <Typography.Text>
+                  x-litellm-semantic-filter-tools: CSV of selected tool names
+                </Typography.Text>
+                <Typography.Text type="secondary" style={{ display: "block" }}>
+                  Example: wikipedia-fetch,github-search,slack-post
+                </Typography.Text>
+              </li>
+            </ul>
+            <pre
+              style={{
+                background: "#f5f5f5",
+                padding: 12,
+                borderRadius: 4,
+                overflow: "auto",
+                fontSize: 12,
+                margin: 0,
+              }}
+            >
+              {curlCommand}
+            </pre>
+              </div>
+            ),
+          },
+        ]}
+      />
+    </Card>
+  );
+}
diff --git a/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/semanticFilterTestUtils.ts b/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/semanticFilterTestUtils.ts
new file mode 100644
index 00000000000..e80ed6b08d7
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/semanticFilterTestUtils.ts
@@ -0,0 +1,95 @@
+import NotificationManager from "@/components/molecules/notifications_manager";
+import { testMCPSemanticFilter } from "@/components/networking";
+
+export interface TestResult {
+  totalTools: number;
+  selectedTools: number;
+  tools: string[];
+}
+
+interface FilterHeaders {
+  filter: string | null;
+  tools: string | null;
+}
+
+const parseFilterHeaders = (headers: FilterHeaders): TestResult | null => {
+  if (!headers.filter) {
+    return null;
+  }
+
+  const [total, selected] = headers.filter.split("->").map(Number);
+  const tools = headers.tools
+    ? headers.tools.split(",").map((name) => name.trim())
+    : [];
+
+  return { totalTools: total, selectedTools: selected, tools };
+};
+
+export const runSemanticFilterTest = async ({
+  accessToken,
+  testModel,
+  testQuery,
+  setIsTesting,
+  setTestResult,
+}: {
+  accessToken: string;
+  testModel: string;
+  testQuery: string;
+  setIsTesting: (value: boolean) => void;
+  setTestResult: (result: TestResult | null) => void;
+}) => {
+  if (!testQuery || !testModel || !accessToken) {
+    NotificationManager.error("Please enter a query and select a model");
+    return;
+  }
+
+  setIsTesting(true);
+  setTestResult(null);
+
+  try {
+    const { headers } = await testMCPSemanticFilter(
+      accessToken,
+      testModel,
+      testQuery
+    );
+    const parsedResult = parseFilterHeaders(headers);
+
+    if (!parsedResult) {
+      NotificationManager.warning(
+        "Semantic filter is not enabled or no tools were filtered"
+      );
+      return;
+    }
+
+    setTestResult(parsedResult);
+    NotificationManager.success("Semantic filter test completed successfully");
+  } catch (error) {
+    console.error("Test failed:", error);
+    NotificationManager.error("Failed to test semantic filter");
+  } finally {
+    setIsTesting(false);
+  }
+};
+
+export const getCurlCommand = (testModel: string, testQuery: string) =>
+  `curl --location 'http://localhost:4000/v1/responses' \\
+--header 'Content-Type: application/json' \\
+--header 'Authorization: Bearer sk-1234' \\
+--data '{
+    "model": "${testModel}",
+    "input": [
+    {
+      "role": "user",
+      "content": "${testQuery || "Your query here"}",
+      "type": "message"
+    }
+  ],
+    "tools": [
+        {
+            "type": "mcp",
+            "server_url": "litellm_proxy",
+            "require_approval": "never"
+        }
+    ],
+    "tool_choice": "required"
+}'`;
diff --git a/ui/litellm-dashboard/src/components/mcp_tools/mcp_servers.tsx b/ui/litellm-dashboard/src/components/mcp_tools/mcp_servers.tsx
index 77034309c91..e4eedf5a195 100644
--- a/ui/litellm-dashboard/src/components/mcp_tools/mcp_servers.tsx
+++ b/ui/litellm-dashboard/src/components/mcp_tools/mcp_servers.tsx
@@ -13,6 +13,7 @@ import MCPConnect from "./mcp_connect";
 import { mcpServerColumns } from "./mcp_server_columns";
 import { MCPServerView } from "./mcp_server_view";
 import { MCPServer, MCPServerProps, Team } from "./types";
+import MCPSemanticFilterSettings from "../Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings";
 
 const { Text: AntdText, Title: AntdTitle } = Typography;
 const EDIT_OAUTH_UI_STATE_KEY = "litellm-mcp-oauth-edit-state";
@@ -302,6 +303,7 @@ const MCPServers: React.FC<MCPServerProps> = ({ accessToken, userRole, userID })
           <div className="flex">
             <Tab>All Servers</Tab>
             <Tab>Connect</Tab>
+            <Tab>Semantic Filter</Tab>
           </div>
         </TabList>
         <TabPanels>
@@ -390,6 +392,9 @@ const MCPServers: React.FC<MCPServerProps> = ({ accessToken, userRole, userID })
           <TabPanel>
             <MCPConnect />
           </TabPanel>
+          <TabPanel>
+            <MCPSemanticFilterSettings accessToken={accessToken} />
+          </TabPanel>
         </TabPanels>
       </TabGroup>
     </div>
diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx
index ca4c16a781f..84895c64ff4 100644
--- a/ui/litellm-dashboard/src/components/networking.tsx
+++ b/ui/litellm-dashboard/src/components/networking.tsx
@@ -5398,6 +5398,137 @@ export const updateUISettings = async (accessToken: string, settings: any) => {
   }
 };
 
+export const getMCPSemanticFilterSettings = async (accessToken: string) => {
+  /**
+   * Get MCP semantic filter configuration
+   */
+  try {
+    const url = proxyBaseUrl
+      ? `${proxyBaseUrl}/get/mcp_semantic_filter_settings`
+      : `/get/mcp_semantic_filter_settings`;
+    const response = await fetch(url, {
+      method: "GET",
+      headers: {
+        [globalLitellmHeaderName]: `Bearer ${accessToken}`,
+        "Content-Type": "application/json",
+      },
+    });
+
+    if (!response.ok) {
+      const errorData = await response.json();
+      const errorMessage = deriveErrorMessage(errorData);
+      handleError(errorMessage);
+      throw new Error(errorMessage);
+    }
+
+    const data = await response.json();
+    return data;
+  } catch (error) {
+    console.error("Failed to get MCP semantic filter settings:", error);
+    throw error;
+  }
+};
+
+export const updateMCPSemanticFilterSettings = async (
+  accessToken: string,
+  settings: Record<string, any>
+) => {
+  /**
+   * Update MCP semantic filter settings
+   * Settings will be applied across all pods within 10 seconds
+   */
+  try {
+    const url = proxyBaseUrl
+      ? `${proxyBaseUrl}/update/mcp_semantic_filter_settings`
+      : `/update/mcp_semantic_filter_settings`;
+    const response = await fetch(url, {
+      method: "PATCH",
+      headers: {
+        [globalLitellmHeaderName]: `Bearer ${accessToken}`,
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify(settings),
+    });
+
+    if (!response.ok) {
+      const errorData = await response.json();
+      const errorMessage = deriveErrorMessage(errorData);
+      handleError(errorMessage);
+      throw new Error(errorMessage);
+    }
+
+    const data = await response.json();
+    return data;
+  } catch (error) {
+    console.error("Failed to update MCP semantic filter settings:", error);
+    throw error;
+  }
+};
+
+export const testMCPSemanticFilter = async (
+  accessToken: string,
+  model: string,
+  query: string
+) => {
+  /**
+   * Test MCP semantic filter by making a responses API call
+   * Returns both the response data and headers containing filter information
+   */
+  try {
+    const url = proxyBaseUrl ? `${proxyBaseUrl}/v1/responses` : `/v1/responses`;
+    const response = await fetch(url, {
+      method: "POST",
+      headers: {
+        [globalLitellmHeaderName]: `Bearer ${accessToken}`,
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        model: model,
+        input: [
+          {
+            role: "user",
+            content: query,
+            type: "message",
+          },
+        ],
+        tools: [
+          {
+            type: "mcp",
+            server_url: "litellm_proxy",
+            require_approval: "never",
+          },
+        ],
+        tool_choice: "required",
+      }),
+    });
+
+    // Extract headers before checking response status
+    const filterHeader = response.headers.get("x-litellm-semantic-filter");
+    const toolsHeader = response.headers.get("x-litellm-semantic-filter-tools");
+
+    if (!response.ok) {
+      const errorData = await response.json();
+      const errorMessage = deriveErrorMessage(errorData);
+      handleError(errorMessage);
+      throw new Error(errorMessage);
+    }
+
+    const data = await response.json();
+    
+    // Return both data and headers
+    return {
+      data,
+      headers: {
+        filter: filterHeader,
+        tools: toolsHeader,
+      },
+    };
+  } catch (error) {
+    console.error("Failed to test MCP semantic filter:", error);
+    throw error;
+  }
+};
+
 export const getGuardrailsList = async (accessToken: string) => {
   try {
     const url = proxyBaseUrl ? `${proxyBaseUrl}/v2/guardrails/list` : `/v2/guardrails/list`;

From 8e1201ca3d6350f8153070f75ada299274c61f50 Mon Sep 17 00:00:00 2001
From: michelligabriele <gabriele.michelli@icloud.com>
Date: Thu, 5 Feb 2026 03:39:51 +0100
Subject: [PATCH 12/21] docs: improve Okta SSO setup guide with step-by-step
 instructions (#20353)

* docs: improve Okta SSO setup guide with step-by-step instructions

- Add clear steps for creating OIDC app in Okta Admin Console
- Document critical Authorization Server Access Policy configuration
- Add troubleshooting table for common errors
- Link to official Okta documentation for detailed UI instructions
- Fix incorrect OAuth endpoint examples (was using Auth0 URLs)

* docs: add Okta console screenshots for SSO setup guide

- Add screenshot showing Sign-in redirect URI configuration
- Add screenshot showing Client Credentials location
- Add screenshot showing Authorization Server Access Policy setup

* docs: replace Okta screenshots with annotated Scribe versions

- Replace screenshots with Scribe-annotated versions highlighting key areas
- Add step-by-step screenshots for Authorization Server Access Policy setup
- Remove old unannotated screenshots
---
 docs/my-website/docs/proxy/admin_ui_sso.md    |  73 +++++++++++++++---
 docs/my-website/img/okta_access_policies.png  | Bin 0 -> 84047 bytes
 .../img/okta_authorization_server.png         | Bin 0 -> 53146 bytes
 .../img/okta_client_credentials.png           | Bin 0 -> 65238 bytes
 docs/my-website/img/okta_redirect_uri.png     | Bin 0 -> 61377 bytes
 docs/my-website/img/okta_security_api.png     | Bin 0 -> 38685 bytes
 6 files changed, 61 insertions(+), 12 deletions(-)
 create mode 100644 docs/my-website/img/okta_access_policies.png
 create mode 100644 docs/my-website/img/okta_authorization_server.png
 create mode 100644 docs/my-website/img/okta_client_credentials.png
 create mode 100644 docs/my-website/img/okta_redirect_uri.png
 create mode 100644 docs/my-website/img/okta_security_api.png

diff --git a/docs/my-website/docs/proxy/admin_ui_sso.md b/docs/my-website/docs/proxy/admin_ui_sso.md
index 7b299429db7..37e45b50284 100644
--- a/docs/my-website/docs/proxy/admin_ui_sso.md
+++ b/docs/my-website/docs/proxy/admin_ui_sso.md
@@ -23,26 +23,75 @@ From v1.76.0, SSO is now Free for up to 5 users.
 <Tabs>
 <TabItem value="okta" label="Okta SSO">
 
-1. Add Okta credentials to your .env
+#### Step 1: Create an OIDC Application in Okta
+
+In your Okta Admin Console, create a new **OIDC Web Application**. See [Okta's guide on creating OIDC app integrations](https://help.okta.com/en-us/content/topics/apps/apps_app_integration_wizard_oidc.htm) for detailed instructions.
+
+When configuring the application:
+- **Sign-in redirect URI**: `https://<your-proxy-base-url>/sso/callback`
+- **Sign-out redirect URI** (optional): `https://<your-proxy-base-url>`
+
+<Image img={require('../../img/okta_redirect_uri.png')} />
+
+After creating the app, copy your **Client ID** and **Client Secret** from the application's General tab:
+
+<Image img={require('../../img/okta_client_credentials.png')} />
+
+#### Step 2: Assign Users to the Application
+
+Ensure users are assigned to the app in the **Assignments** tab. If Federation Broker Mode is enabled, you may need to disable it to assign users manually.
+
+#### Step 3: Configure Authorization Server Access Policy
+
+:::warning Important
+This step is required. Without an Access Policy for your app, users will get a `no_matching_policy` error when attempting to log in.
+:::
+
+1. Go to **Security** → **API**
+
+<Image img={require('../../img/okta_security_api.png')} />
+
+2. Select the **default** authorization server (or your custom one)
+
+<Image img={require('../../img/okta_authorization_server.png')} />
+
+3. Click on **Access Policies** tab, create a new policy assigned to your LiteLLM app
+4. Add a rule that allows the **Authorization Code** grant type
+
+<Image img={require('../../img/okta_access_policies.png')} />
+
+See [Okta's Access Policy documentation](https://help.okta.com/en-us/content/topics/security/api-access-management/access-policies.htm) for more details.
+
+#### Step 4: Configure LiteLLM Environment Variables
 
 ```bash
-GENERIC_CLIENT_ID = "<your-okta-client-id>"
-GENERIC_CLIENT_SECRET = "<your-okta-client-secret>" 
-GENERIC_AUTHORIZATION_ENDPOINT = "<your-okta-domain>/authorize" # https://dev-2kqkcd6lx6kdkuzt.us.auth0.com/authorize
-GENERIC_TOKEN_ENDPOINT = "<your-okta-domain>/token" # https://dev-2kqkcd6lx6kdkuzt.us.auth0.com/oauth/token
-GENERIC_USERINFO_ENDPOINT = "<your-okta-domain>/userinfo" # https://dev-2kqkcd6lx6kdkuzt.us.auth0.com/userinfo
-GENERIC_CLIENT_STATE = "random-string" # [OPTIONAL] REQUIRED BY OKTA, if not set random state value is generated
-GENERIC_SSO_HEADERS = "Content-Type=application/json, X-Custom-Header=custom-value" # [OPTIONAL] Comma-separated list of additional headers to add to the request - e.g. Content-Type=application/json, etc.
+GENERIC_CLIENT_ID="<your-client-id>"
+GENERIC_CLIENT_SECRET="<your-client-secret>"
+GENERIC_AUTHORIZATION_ENDPOINT="https://<your-okta-domain>/oauth2/default/v1/authorize"
+GENERIC_TOKEN_ENDPOINT="https://<your-okta-domain>/oauth2/default/v1/token"
+GENERIC_USERINFO_ENDPOINT="https://<your-okta-domain>/oauth2/default/v1/userinfo"
+GENERIC_CLIENT_STATE="random-string"
+PROXY_BASE_URL="https://<your-proxy-base-url>"
 ```
 
-You can get your domain specific auth/token/userinfo endpoints at `<YOUR-OKTA-DOMAIN>/.well-known/openid-configuration`
+:::tip
+You can find all OAuth endpoints at `https://<your-okta-domain>/.well-known/openid-configuration`
+:::
 
-2. Add proxy url as callback_url on Okta
+#### Step 5: Test the SSO Flow
 
-On Okta, add the 'callback_url' as `<proxy_base_url>/sso/callback`
+1. Start your LiteLLM proxy
+2. Navigate to `https://<your-proxy-base-url>/ui`
+3. Click the SSO login button
+4. Authenticate with Okta and verify you're redirected back to LiteLLM
 
+#### Troubleshooting
 
-<Image img={require('../../img/okta_callback_url.png')} />
+| Error | Cause | Solution |
+|-------|-------|----------|
+| `redirect_uri` error | Redirect URI not configured | Add `<proxy_base_url>/sso/callback` to Sign-in redirect URIs in Okta |
+| `access_denied` | User not assigned to app | Assign the user in the Assignments tab |
+| `no_matching_policy` | Missing Access Policy | Create an Access Policy in the Authorization Server (see Step 3) |
 
 </TabItem>
 <TabItem value="google" label="Google SSO">
diff --git a/docs/my-website/img/okta_access_policies.png b/docs/my-website/img/okta_access_policies.png
new file mode 100644
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diff --git a/docs/my-website/img/okta_client_credentials.png b/docs/my-website/img/okta_client_credentials.png
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From 47b546f69a7454e7049f88ee5d491e5df2b9819f Mon Sep 17 00:00:00 2001
From: jquinter <jquinter@gmail.com>
Date: Wed, 4 Feb 2026 23:41:01 -0300
Subject: [PATCH 13/21] fix(lint): remove unused Any/cast imports in
 github_copilot transformation (#20431)

The cast(Any, message) pattern was used to suppress typed-dict mutation
warnings, but the parameter has no type annotation so it's unnecessary.
Direct assignment works and eliminates the F401 unused-import lint error.

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
---
 litellm/llms/github_copilot/chat/transformation.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/litellm/llms/github_copilot/chat/transformation.py b/litellm/llms/github_copilot/chat/transformation.py
index 945b7ebf7ff..d613c82402d 100644
--- a/litellm/llms/github_copilot/chat/transformation.py
+++ b/litellm/llms/github_copilot/chat/transformation.py
@@ -1,4 +1,4 @@
-from typing import Any, List, Optional, Tuple, cast
+from typing import List, Optional, Tuple
 
 from litellm.exceptions import AuthenticationError
 from litellm.llms.openai.openai import OpenAIConfig
@@ -54,7 +54,7 @@ class GithubCopilotConfig(OpenAIConfig):
             # GitHub Copilot API now supports system prompts for all models (Claude, GPT, etc.)
             # No conversion needed - just return messages as-is
             return messages
-        
+
         # Default behavior: convert system messages to assistant for compatibility
         transformed_messages = []
         for message in messages:
@@ -65,7 +65,7 @@ class GithubCopilotConfig(OpenAIConfig):
                 transformed_messages.append(transformed_message)
             else:
                 transformed_messages.append(message)
-        
+
         return transformed_messages
 
     def validate_environment(

From e0802783f3957a822603b5a4893a2e153dc28e52 Mon Sep 17 00:00:00 2001
From: Cesar Garcia <128240629+Chesars@users.noreply.github.com>
Date: Thu, 5 Feb 2026 00:35:22 -0300
Subject: [PATCH 14/21] feat(openrouter): add Qwen3-235B models (#20455)

Add OpenRouter Qwen3-235B-A22B models to the pricing configuration:
- openrouter/qwen/qwen3-235b-a22b-2507
- openrouter/qwen/qwen3-235b-a22b-thinking-2507

Closes request from PR #13019 comments.
---
 model_prices_and_context_window.json | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 6d399d25bf6..d3038d13a1e 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -24419,6 +24419,31 @@
         "supports_tool_choice": true,
         "supports_function_calling": true
     },
+    "openrouter/qwen/qwen3-235b-a22b-2507": {
+        "input_cost_per_token": 7.1e-08,
+        "litellm_provider": "openrouter",
+        "max_input_tokens": 262144,
+        "max_output_tokens": 262144,
+        "max_tokens": 262144,
+        "mode": "chat",
+        "output_cost_per_token": 1e-07,
+        "source": "https://openrouter.ai/qwen/qwen3-235b-a22b-2507",
+        "supports_function_calling": true,
+        "supports_tool_choice": true
+    },
+    "openrouter/qwen/qwen3-235b-a22b-thinking-2507": {
+        "input_cost_per_token": 1.1e-07,
+        "litellm_provider": "openrouter",
+        "max_input_tokens": 262144,
+        "max_output_tokens": 262144,
+        "max_tokens": 262144,
+        "mode": "chat",
+        "output_cost_per_token": 6e-07,
+        "source": "https://openrouter.ai/qwen/qwen3-235b-a22b-thinking-2507",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": true
+    },
     "openrouter/switchpoint/router": {
         "input_cost_per_token": 8.5e-07,
         "litellm_provider": "openrouter",

From 3c12dda8564c841881d0a728ad6e926ac0ee9d4f Mon Sep 17 00:00:00 2001
From: Sameer Kankute <sameer@berri.ai>
Date: Thu, 5 Feb 2026 09:21:20 +0530
Subject: [PATCH 15/21] =?UTF-8?q?bump:=20litellm-proxy-extras=200.4.29=20?=
 =?UTF-8?q?=E2=86=92=200.4.30?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

- Add allow_team_guardrail_config field to TeamTable and DeletedTeamTable
- Add migration 20260205091235_allow_team_guardrail_config
---
 ...litellm_proxy_extras-0.4.30-py3-none-any.whl | Bin 0 -> 51217 bytes
 .../dist/litellm_proxy_extras-0.4.30.tar.gz     | Bin 0 -> 23752 bytes
 .../migration.sql                               |   6 ++++++
 litellm-proxy-extras/pyproject.toml             |   4 ++--
 pyproject.toml                                  |   2 +-
 requirements.txt                                |   2 +-
 schema.prisma                                   |   2 ++
 7 files changed, 12 insertions(+), 4 deletions(-)
 create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.4.30-py3-none-any.whl
 create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.4.30.tar.gz
 create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20260205091235_allow_team_guardrail_config/migration.sql

diff --git a/litellm-proxy-extras/dist/litellm_proxy_extras-0.4.30-py3-none-any.whl b/litellm-proxy-extras/dist/litellm_proxy_extras-0.4.30-py3-none-any.whl
new file mode 100644
index 0000000000000000000000000000000000000000..383f9b7b43ffce0cbeb9041dd657e016abc1e1db
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diff --git a/litellm-proxy-extras/dist/litellm_proxy_extras-0.4.30.tar.gz b/litellm-proxy-extras/dist/litellm_proxy_extras-0.4.30.tar.gz
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HcmV?d00001

diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260205091235_allow_team_guardrail_config/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260205091235_allow_team_guardrail_config/migration.sql
new file mode 100644
index 00000000000..000b96b3b87
--- /dev/null
+++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260205091235_allow_team_guardrail_config/migration.sql
@@ -0,0 +1,6 @@
+-- AlterTable
+ALTER TABLE "LiteLLM_DeletedTeamTable" ADD COLUMN     "allow_team_guardrail_config" BOOLEAN NOT NULL DEFAULT false;
+
+-- AlterTable
+ALTER TABLE "LiteLLM_TeamTable" ADD COLUMN     "allow_team_guardrail_config" BOOLEAN NOT NULL DEFAULT false;
+
diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml
index fb6996b71db..d43b591686c 100644
--- a/litellm-proxy-extras/pyproject.toml
+++ b/litellm-proxy-extras/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm-proxy-extras"
-version = "0.4.29"
+version = "0.4.30"
 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 = "0.4.29"
+version = "0.4.30"
 version_files = [
     "pyproject.toml:version",
     "../requirements.txt:litellm-proxy-extras==",
diff --git a/pyproject.toml b/pyproject.toml
index 9832ca483dc..80841912c54 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -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 = "0.4.29", optional = true}
+litellm-proxy-extras = {version = "0.4.30", optional = true}
 rich = {version = "13.7.1", optional = true}
 litellm-enterprise = {version = "0.1.27", optional = true}
 diskcache = {version = "^5.6.1", optional = true}
diff --git a/requirements.txt b/requirements.txt
index 69768b6c1f7..aca27bf284b 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -50,7 +50,7 @@ sentry_sdk==2.21.0 # for sentry error handling
 detect-secrets==1.5.0 # Enterprise - secret detection / masking in LLM requests
 cryptography==44.0.1
 tzdata==2025.1 # IANA time zone database
-litellm-proxy-extras==0.4.29 # for proxy extras - e.g. prisma migrations
+litellm-proxy-extras==0.4.30 # 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
diff --git a/schema.prisma b/schema.prisma
index b118400b620..03b910db85e 100644
--- a/schema.prisma
+++ b/schema.prisma
@@ -129,6 +129,7 @@ model LiteLLM_TeamTable {
     team_member_permissions String[] @default([])
     policies         String[] @default([])
     model_id Int? @unique // id for LiteLLM_ModelTable -> stores team-level model aliases
+    allow_team_guardrail_config Boolean @default(false) // if true, team admin can configure guardrails for this team
     litellm_organization_table LiteLLM_OrganizationTable?   @relation(fields: [organization_id], references: [organization_id])
     litellm_model_table LiteLLM_ModelTable? @relation(fields: [model_id], references: [id])
     object_permission LiteLLM_ObjectPermissionTable?   @relation(fields: [object_permission_id], references: [object_permission_id])
@@ -160,6 +161,7 @@ model LiteLLM_DeletedTeamTable {
     team_member_permissions String[] @default([])
     policies                String[] @default([])
     model_id                Int?     // id for LiteLLM_ModelTable -> stores team-level model aliases
+    allow_team_guardrail_config Boolean @default(false)
     
     // Original timestamps from team creation/updates
     created_at              DateTime? @map("created_at")

From 64aeb18a10ef5ba962e5281faf0cb788ed7e6bdc Mon Sep 17 00:00:00 2001
From: Sameer Kankute <sameer@berri.ai>
Date: Thu, 5 Feb 2026 09:25:52 +0530
Subject: [PATCH 16/21] chore: update poetry.lock for litellm-proxy-extras
 0.4.30

Co-authored-by: Cursor <cursoragent@cursor.com>
---
 poetry.lock | 52 ++++++++++++++++++++++++++++++----------------------
 1 file changed, 30 insertions(+), 22 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 537367c5aa0..674725c2ce4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.2.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.3.2 and should not be changed by hand.
 
 [[package]]
 name = "a2a-sdk"
@@ -398,6 +398,7 @@ files = [
     {file = "azure_core-1.36.0-py3-none-any.whl", hash = "sha256:fee9923a3a753e94a259563429f3644aaf05c486d45b1215d098115102d91d3b"},
     {file = "azure_core-1.36.0.tar.gz", hash = "sha256:22e5605e6d0bf1d229726af56d9e92bc37b6e726b141a18be0b4d424131741b7"},
 ]
+markers = {main = "extra == \"proxy\" or extra == \"extra-proxy\""}
 
 [package.dependencies]
 requests = ">=2.21.0"
@@ -418,6 +419,7 @@ files = [
     {file = "azure_identity-1.25.1-py3-none-any.whl", hash = "sha256:e9edd720af03dff020223cd269fa3a61e8f345ea75443858273bcb44844ab651"},
     {file = "azure_identity-1.25.1.tar.gz", hash = "sha256:87ca8328883de6036443e1c37b40e8dc8fb74898240f61071e09d2e369361456"},
 ]
+markers = {main = "extra == \"proxy\" or extra == \"extra-proxy\""}
 
 [package.dependencies]
 azure-core = ">=1.31.0"
@@ -718,7 +720,7 @@ files = [
     {file = "cffi-2.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:b882b3df248017dba09d6b16defe9b5c407fe32fc7c65a9c69798e6175601be9"},
     {file = "cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529"},
 ]
-markers = {main = "platform_python_implementation != \"PyPy\" or extra == \"proxy\"", dev = "platform_python_implementation != \"PyPy\"", proxy-dev = "platform_python_implementation != \"PyPy\""}
+markers = {main = "(platform_python_implementation != \"PyPy\" or extra == \"proxy\") and (python_version >= \"3.10\" or extra == \"proxy\" or extra == \"extra-proxy\") and (extra == \"proxy\" or extra == \"extra-proxy\" or extra == \"mlflow\")", dev = "platform_python_implementation != \"PyPy\"", proxy-dev = "platform_python_implementation != \"PyPy\""}
 
 [package.dependencies]
 pycparser = {version = "*", markers = "implementation_name != \"PyPy\""}
@@ -1137,7 +1139,6 @@ description = "cryptography is a package which provides cryptographic recipes an
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "dev", "proxy-dev"]
-markers = "python_version == \"3.9\""
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
     {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
@@ -1167,6 +1168,7 @@ files = [
     {file = "cryptography-43.0.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2ce6fae5bdad59577b44e4dfed356944fbf1d925269114c28be377692643b4ff"},
     {file = "cryptography-43.0.3.tar.gz", hash = "sha256:315b9001266a492a6ff443b61238f956b214dbec9910a081ba5b6646a055a805"},
 ]
+markers = {main = "python_version == \"3.9\" and (extra == \"proxy\" or extra == \"extra-proxy\")", dev = "python_version == \"3.9\"", proxy-dev = "python_version == \"3.9\""}
 
 [package.dependencies]
 cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
@@ -1188,7 +1190,6 @@ description = "cryptography is a package which provides cryptographic recipes an
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.8"
 groups = ["main", "dev", "proxy-dev"]
-markers = "python_version >= \"3.10\""
 files = [
     {file = "cryptography-46.0.3-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:109d4ddfadf17e8e7779c39f9b18111a09efb969a301a31e987416a0191ed93a"},
     {file = "cryptography-46.0.3-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:09859af8466b69bc3c27bdf4f5d84a665e0f7ab5088412e9e2ec49758eca5cbc"},
@@ -1245,6 +1246,7 @@ files = [
     {file = "cryptography-46.0.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:6b5063083824e5509fdba180721d55909ffacccc8adbec85268b48439423d78c"},
     {file = "cryptography-46.0.3.tar.gz", hash = "sha256:a8b17438104fed022ce745b362294d9ce35b4c2e45c1d958ad4a4b019285f4a1"},
 ]
+markers = {main = "python_version >= \"3.10\" and (extra == \"proxy\" or extra == \"extra-proxy\" or extra == \"mlflow\")", dev = "python_version >= \"3.10\"", proxy-dev = "python_version >= \"3.10\""}
 
 [package.dependencies]
 cffi = {version = ">=2.0.0", markers = "python_full_version >= \"3.9.0\" and platform_python_implementation != \"PyPy\""}
@@ -2242,11 +2244,11 @@ files = [
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
-google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
-grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
-proto-plus = ">=1.22.3,<2.0.0dev"
-protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0.dev0", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0.dev0"
+grpc-google-iam-v1 = ">=0.12.4,<1.0.0.dev0"
+proto-plus = ">=1.22.3,<2.0.0.dev0"
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
 
 [[package]]
 name = "google-cloud-resource-manager"
@@ -3249,7 +3251,7 @@ files = [
 
 [package.dependencies]
 attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.03.6"
+jsonschema-specifications = ">=2023.3.6"
 referencing = ">=0.28.4"
 rpds-py = ">=0.7.1"
 
@@ -3426,15 +3428,15 @@ files = [
 
 [[package]]
 name = "litellm-proxy-extras"
-version = "0.4.29"
+version = "0.4.30"
 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-0.4.29-py3-none-any.whl", hash = "sha256:c36c1b69675c61acccc6b61dd610eb37daeb72c6fd819461cefb5b0cc7e0550f"},
-    {file = "litellm_proxy_extras-0.4.29.tar.gz", hash = "sha256:1a8266911e0546f1e17e6714ca20b72e9fef47c1683f9c16399cf2d1786437a0"},
+    {file = "litellm_proxy_extras-0.4.30-py3-none-any.whl", hash = "sha256:0b7df68f0968eb817462b847eaee81bba23d935adb2e84d2e342a77711887051"},
+    {file = "litellm_proxy_extras-0.4.30.tar.gz", hash = "sha256:5d32f8dc3d37d36fb15ab6995fea706dd8a453ff7f12e70b47cba35e5368da10"},
 ]
 
 [[package]]
@@ -3913,6 +3915,7 @@ files = [
     {file = "msal-1.34.0-py3-none-any.whl", hash = "sha256:f669b1644e4950115da7a176441b0e13ec2975c29528d8b9e81316023676d6e1"},
     {file = "msal-1.34.0.tar.gz", hash = "sha256:76ba83b716ea5a6d75b0279c0ac353a0e05b820ca1f6682c0eb7f45190c43c2f"},
 ]
+markers = {main = "extra == \"proxy\" or extra == \"extra-proxy\""}
 
 [package.dependencies]
 cryptography = ">=2.5,<49"
@@ -3933,6 +3936,7 @@ files = [
     {file = "msal_extensions-1.3.1-py3-none-any.whl", hash = "sha256:96d3de4d034504e969ac5e85bae8106c8373b5c6568e4c8fa7af2eca9dbe6bca"},
     {file = "msal_extensions-1.3.1.tar.gz", hash = "sha256:c5b0fd10f65ef62b5f1d62f4251d51cbcaf003fcedae8c91b040a488614be1a4"},
 ]
+markers = {main = "extra == \"proxy\" or extra == \"extra-proxy\""}
 
 [package.dependencies]
 msal = ">=1.29,<2"
@@ -4183,6 +4187,7 @@ files = [
     {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
     {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
 ]
+markers = {main = "extra == \"extra-proxy\""}
 
 [[package]]
 name = "numpy"
@@ -4390,7 +4395,7 @@ files = [
     {file = "opentelemetry_api-1.39.1-py3-none-any.whl", hash = "sha256:2edd8463432a7f8443edce90972169b195e7d6a05500cd29e6d13898187c9950"},
     {file = "opentelemetry_api-1.39.1.tar.gz", hash = "sha256:fbde8c80e1b937a2c61f20347e91c0c18a1940cecf012d62e65a7caf08967c9c"},
 ]
-markers = {main = "python_version >= \"3.10\""}
+markers = {main = "python_version >= \"3.10\" and extra == \"mlflow\""}
 
 [package.dependencies]
 importlib-metadata = ">=6.0,<8.8.0"
@@ -4505,7 +4510,7 @@ files = [
     {file = "opentelemetry_sdk-1.39.1-py3-none-any.whl", hash = "sha256:4d5482c478513ecb0a5d938dcc61394e647066e0cc2676bee9f3af3f3f45f01c"},
     {file = "opentelemetry_sdk-1.39.1.tar.gz", hash = "sha256:cf4d4563caf7bff906c9f7967e2be22d0d6b349b908be0d90fb21c8e9c995cc6"},
 ]
-markers = {main = "python_version >= \"3.10\""}
+markers = {main = "python_version >= \"3.10\" and extra == \"mlflow\""}
 
 [package.dependencies]
 opentelemetry-api = "1.39.1"
@@ -4523,7 +4528,7 @@ files = [
     {file = "opentelemetry_semantic_conventions-0.60b1-py3-none-any.whl", hash = "sha256:9fa8c8b0c110da289809292b0591220d3a7b53c1526a23021e977d68597893fb"},
     {file = "opentelemetry_semantic_conventions-0.60b1.tar.gz", hash = "sha256:87c228b5a0669b748c76d76df6c364c369c28f1c465e50f661e39737e84bc953"},
 ]
-markers = {main = "python_version >= \"3.10\""}
+markers = {main = "python_version >= \"3.10\" and extra == \"mlflow\""}
 
 [package.dependencies]
 opentelemetry-api = "1.39.1"
@@ -5000,6 +5005,7 @@ files = [
     {file = "prisma-0.11.0-py3-none-any.whl", hash = "sha256:22bb869e59a2968b99f3483bb417717273ffbc569fd1e9ceed95e5614cbaf53a"},
     {file = "prisma-0.11.0.tar.gz", hash = "sha256:3f2f2fd2361e1ec5ff655f2a04c7860c2f2a5bc4c91f78ca9c5c6349735bf693"},
 ]
+markers = {main = "extra == \"extra-proxy\""}
 
 [package.dependencies]
 click = ">=7.1.2"
@@ -5316,7 +5322,7 @@ files = [
     {file = "pycparser-2.23-py3-none-any.whl", hash = "sha256:e5c6e8d3fbad53479cab09ac03729e0a9faf2bee3db8208a550daf5af81a5934"},
     {file = "pycparser-2.23.tar.gz", hash = "sha256:78816d4f24add8f10a06d6f05b4d424ad9e96cfebf68a4ddc99c65c0720d00c2"},
 ]
-markers = {main = "implementation_name != \"PyPy\" and (platform_python_implementation != \"PyPy\" or extra == \"proxy\")", dev = "implementation_name != \"PyPy\" and platform_python_implementation != \"PyPy\"", proxy-dev = "implementation_name != \"PyPy\" and platform_python_implementation != \"PyPy\""}
+markers = {main = "implementation_name != \"PyPy\" and (platform_python_implementation != \"PyPy\" or extra == \"proxy\") and (python_version >= \"3.10\" or extra == \"proxy\" or extra == \"extra-proxy\") and (extra == \"proxy\" or extra == \"extra-proxy\" or extra == \"mlflow\")", dev = "implementation_name != \"PyPy\" and platform_python_implementation != \"PyPy\"", proxy-dev = "implementation_name != \"PyPy\" and platform_python_implementation != \"PyPy\""}
 
 [[package]]
 name = "pydantic"
@@ -5539,6 +5545,7 @@ files = [
     {file = "PyJWT-2.10.1-py3-none-any.whl", hash = "sha256:dcdd193e30abefd5debf142f9adfcdd2b58004e644f25406ffaebd50bd98dacb"},
     {file = "pyjwt-2.10.1.tar.gz", hash = "sha256:3cc5772eb20009233caf06e9d8a0577824723b44e6648ee0a2aedb6cf9381953"},
 ]
+markers = {main = "extra == \"extra-proxy\" or extra == \"proxy\""}
 
 [package.dependencies]
 cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"crypto\""}
@@ -6640,10 +6647,10 @@ files = [
 ]
 
 [package.dependencies]
-botocore = ">=1.37.4,<2.0a.0"
+botocore = ">=1.37.4,<2.0a0"
 
 [package.extras]
-crt = ["botocore[crt] (>=1.37.4,<2.0a.0)"]
+crt = ["botocore[crt] (>=1.37.4,<2.0a0)"]
 
 [[package]]
 name = "scikit-learn"
@@ -6876,9 +6883,9 @@ tornado = ">=6.4.2,<7"
 urllib3 = ">=1.26,<3"
 
 [package.extras]
-all = ["boto3 (>=1.34.98,<2)", "botocore (>=1.34.110,<2)", "cohere (>=5.9.4,<6.00)", "dagger-io (>=0.1.1) ; python_version >= \"3.11\"", "fastembed (>=0.3.0,<0.4) ; python_version < \"3.13\"", "google-cloud-aiplatform (>=1.45.0,<2)", "ipykernel (>=6.25.0,<7)", "llama-cpp-python (>=0.2.28,<0.2.86) ; python_version < \"3.13\"", "mistralai (>=0.0.12,<0.1.0)", "mypy (>=1.7.1,<2)", "ollama (>=0.1.7)", "pillow (>=10.2.0,<11.0.0) ; python_version < \"3.13\"", "pinecone[asyncio] (>=7.0.0,<8.0.0)", "psycopg[binary] (>=3.1.0,<4)", "pytest (>=8.2,<9.0)", "pytest-asyncio (>=0.24.0,<0.25)", "pytest-cov (>=4.1.0,<5)", "pytest-mock (>=3.12.0,<4)", "pytest-timeout", "pytest-xdist (>=3.5.0,<4)", "python-dotenv (>=1.0.0,<2)", "qdrant-client (>=1.11.1,<2)", "requests-mock (>=1.12.1,<2)", "ruff (>=0.11.2,<0.12)", "sentence-transformers (>=5.0.0) ; python_version < \"3.13\"", "tokenizers (>=0.19) ; python_version < \"3.13\"", "torch (>=2.6.0) ; python_version < \"3.13\"", "torchvision (>=0.17.0) ; python_version < \"3.13\"", "transformers (>=4.36.2) ; python_version < \"3.13\"", "types-pyyaml (>=6.0.12.12,<7)", "types-requests (>=2.31.0,<3)"]
+all = ["boto3 (>=1.34.98,<2)", "botocore (>=1.34.110,<2)", "cohere (>=5.9.4,<6.0)", "dagger-io (>=0.1.1) ; python_version >= \"3.11\"", "fastembed (>=0.3.0,<0.4) ; python_version < \"3.13\"", "google-cloud-aiplatform (>=1.45.0,<2)", "ipykernel (>=6.25.0,<7)", "llama-cpp-python (>=0.2.28,<0.2.86) ; python_version < \"3.13\"", "mistralai (>=0.0.12,<0.1.0)", "mypy (>=1.7.1,<2)", "ollama (>=0.1.7)", "pillow (>=10.2.0,<11.0.0) ; python_version < \"3.13\"", "pinecone[asyncio] (>=7.0.0,<8.0.0)", "psycopg[binary] (>=3.1.0,<4)", "pytest (>=8.2,<9.0)", "pytest-asyncio (>=0.24.0,<0.25)", "pytest-cov (>=4.1.0,<5)", "pytest-mock (>=3.12.0,<4)", "pytest-timeout", "pytest-xdist (>=3.5.0,<4)", "python-dotenv (>=1.0.0,<2)", "qdrant-client (>=1.11.1,<2)", "requests-mock (>=1.12.1,<2)", "ruff (>=0.11.2,<0.12)", "sentence-transformers (>=5.0.0) ; python_version < \"3.13\"", "tokenizers (>=0.19) ; python_version < \"3.13\"", "torch (>=2.6.0) ; python_version < \"3.13\"", "torchvision (>=0.17.0) ; python_version < \"3.13\"", "transformers (>=4.36.2) ; python_version < \"3.13\"", "types-pyyaml (>=6.0.12.12,<7)", "types-requests (>=2.31.0,<3)"]
 bedrock = ["boto3 (>=1.34.98,<2)", "botocore (>=1.34.110,<2)"]
-cohere = ["cohere (>=5.9.4,<6.00)"]
+cohere = ["cohere (>=5.9.4,<6.0)"]
 dev = ["dagger-io (>=0.1.1) ; python_version >= \"3.11\"", "ipykernel (>=6.25.0,<7)", "mypy (>=1.7.1,<2)", "pytest (>=8.2,<9.0)", "pytest-asyncio (>=0.24.0,<0.25)", "pytest-cov (>=4.1.0,<5)", "pytest-mock (>=3.12.0,<4)", "pytest-timeout", "pytest-xdist (>=3.5.0,<4)", "python-dotenv (>=1.0.0,<2)", "requests-mock (>=1.12.1,<2)", "ruff (>=0.11.2,<0.12)", "types-pyyaml (>=6.0.12.12,<7)", "types-requests (>=2.31.0,<3)"]
 docs = ["pydoc-markdown (>=4.8.2) ; python_version < \"3.12\""]
 fastembed = ["fastembed (>=0.3.0,<0.4) ; python_version < \"3.13\""]
@@ -7722,6 +7729,7 @@ files = [
     {file = "tomlkit-0.13.3-py3-none-any.whl", hash = "sha256:c89c649d79ee40629a9fda55f8ace8c6a1b42deb912b2a8fd8d942ddadb606b0"},
     {file = "tomlkit-0.13.3.tar.gz", hash = "sha256:430cf247ee57df2b94ee3fbe588e71d362a941ebb545dec29b53961d61add2a1"},
 ]
+markers = {main = "extra == \"extra-proxy\""}
 
 [[package]]
 name = "tornado"
@@ -8490,4 +8498,4 @@ utils = ["numpydoc"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.9,<4.0"
-content-hash = "95fd27dc139d0e52e70093220c50582f16c78e5977ec77f4297f50a30df964c6"
+content-hash = "e5447e14dd37e324ac07a8fc6286d27e9a0d355ed93ebb24fc11e3f5df12fd3e"

From b982542c6c5a88412c6a771a2ad9d83a7cbdbb4e Mon Sep 17 00:00:00 2001
From: yuneng-jiang <yuneng.jiang@gmail.com>
Date: Wed, 4 Feb 2026 20:05:10 -0800
Subject: [PATCH 17/21] fixing build

---
 .../MCPSemanticFilterSettings.tsx                          | 7 ++-----
 1 file changed, 2 insertions(+), 5 deletions(-)

diff --git a/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings.tsx b/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings.tsx
index 6e669f74ab3..d24c14a8e86 100644
--- a/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings.tsx
+++ b/ui/litellm-dashboard/src/components/Settings/AdminSettings/MCPSemanticFilterSettings/MCPSemanticFilterSettings.tsx
@@ -41,13 +41,12 @@ export default function MCPSemanticFilterSettings({ accessToken }: MCPSemanticFi
   const [isDirty, setIsDirty] = useState(false);
   const [embeddingModels, setEmbeddingModels] = useState<ModelGroup[]>([]);
   const [loadingModels, setLoadingModels] = useState(true);
-  
+
   // Test section state
   const [testQuery, setTestQuery] = useState("");
   const [testModel, setTestModel] = useState<string>("gpt-4o");
   const [testResult, setTestResult] = useState<TestResult | null>(null);
   const [isTesting, setIsTesting] = useState(false);
-  const [showCurl, setShowCurl] = useState(false);
 
   const schema = data?.field_schema;
   const values = data?.values ?? {};
@@ -194,7 +193,7 @@ export default function MCPSemanticFilterSettings({ accessToken }: MCPSemanticFi
                   >
                     <Switch disabled={isUpdating} />
                   </Form.Item>
-                  
+
                   <Typography.Text type="secondary" style={{ display: "block", marginTop: -16, marginBottom: 16 }}>
                     {schema?.properties?.enabled?.description}
                   </Typography.Text>
@@ -299,8 +298,6 @@ export default function MCPSemanticFilterSettings({ accessToken }: MCPSemanticFi
                 onTest={handleTest}
                 filterEnabled={!!values.enabled}
                 testResult={testResult}
-                showCurl={showCurl}
-                setShowCurl={setShowCurl}
                 curlCommand={getCurlCommand(testModel, testQuery)}
               />
             </Col>

From 0f177a3b01a92056366a2e9c4deecb62fa2e5b85 Mon Sep 17 00:00:00 2001
From: Sameer Kankute <sameer@berri.ai>
Date: Thu, 5 Feb 2026 09:40:21 +0530
Subject: [PATCH 18/21] Fix: test_team_update_sc_2

---
 ...odel_prices_and_context_window_backup.json | 25 +++++++++++++++++++
 tests/test_team.py                            |  1 +
 2 files changed, 26 insertions(+)

diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 6d399d25bf6..d3038d13a1e 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -24419,6 +24419,31 @@
         "supports_tool_choice": true,
         "supports_function_calling": true
     },
+    "openrouter/qwen/qwen3-235b-a22b-2507": {
+        "input_cost_per_token": 7.1e-08,
+        "litellm_provider": "openrouter",
+        "max_input_tokens": 262144,
+        "max_output_tokens": 262144,
+        "max_tokens": 262144,
+        "mode": "chat",
+        "output_cost_per_token": 1e-07,
+        "source": "https://openrouter.ai/qwen/qwen3-235b-a22b-2507",
+        "supports_function_calling": true,
+        "supports_tool_choice": true
+    },
+    "openrouter/qwen/qwen3-235b-a22b-thinking-2507": {
+        "input_cost_per_token": 1.1e-07,
+        "litellm_provider": "openrouter",
+        "max_input_tokens": 262144,
+        "max_output_tokens": 262144,
+        "max_tokens": 262144,
+        "mode": "chat",
+        "output_cost_per_token": 6e-07,
+        "source": "https://openrouter.ai/qwen/qwen3-235b-a22b-thinking-2507",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_tool_choice": true
+    },
     "openrouter/switchpoint/router": {
         "input_cost_per_token": 8.5e-07,
         "litellm_provider": "openrouter",
diff --git a/tests/test_team.py b/tests/test_team.py
index d67c5e670f4..275181590c5 100644
--- a/tests/test_team.py
+++ b/tests/test_team.py
@@ -532,6 +532,7 @@ async def test_team_update_sc_2():
                 or k == "object_permission"
                 or k == "litellm_model_table"
                 or k == "policies"
+                or k == "allow_team_guardrail_config"
             ):
                 pass
             else:

From 5e8c7f0de121cea6e18c190c01036fccd113516a Mon Sep 17 00:00:00 2001
From: Sameer Kankute <sameer@berri.ai>
Date: Thu, 5 Feb 2026 09:44:05 +0530
Subject: [PATCH 19/21] Fix mypy issues

---
 litellm/proxy/proxy_server.py     | 1 +
 litellm/proxy_auth/credentials.py | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 022626e2992..637893872d9 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -1864,6 +1864,7 @@ class ProxyConfig:
 
     def __init__(self) -> None:
         self.config: Dict[str, Any] = {}
+        self._last_semantic_filter_config: Optional[Dict[str, Any]] = None
 
     def is_yaml(self, config_file_path: str) -> bool:
         if not os.path.isfile(config_file_path):
diff --git a/litellm/proxy_auth/credentials.py b/litellm/proxy_auth/credentials.py
index cddaf1278f9..103b0088d80 100644
--- a/litellm/proxy_auth/credentials.py
+++ b/litellm/proxy_auth/credentials.py
@@ -79,7 +79,7 @@ class AzureADCredential:
             credential: An azure-identity credential object. If None,
                        DefaultAzureCredential will be used on first token request.
         """
-        self._credential = credential
+        self._credential: Any = credential
         self._initialized = credential is not None
 
     def get_token(self, scope: str) -> AccessToken:

From 5422a5962e8340d37ebfbac98083afb14f0bce58 Mon Sep 17 00:00:00 2001
From: Sameer Kankute <sameer@berri.ai>
Date: Thu, 5 Feb 2026 09:47:05 +0530
Subject: [PATCH 20/21] Fix test_route_a2a_model_bypasses_router

---
 tests/test_litellm/proxy/test_route_a2a_models.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_litellm/proxy/test_route_a2a_models.py b/tests/test_litellm/proxy/test_route_a2a_models.py
index e8d89c0c7eb..1288a9b2c9f 100644
--- a/tests/test_litellm/proxy/test_route_a2a_models.py
+++ b/tests/test_litellm/proxy/test_route_a2a_models.py
@@ -55,7 +55,7 @@ async def test_route_a2a_model_bypasses_router():
 
     with patch("litellm.acompletion", mock_acompletion):
         with patch(
-            "litellm.proxy.agent_endpoints.a2a_routing.global_agent_registry",
+            "litellm.proxy.agent_endpoints.agent_registry.global_agent_registry",
             mock_registry,
         ):
             result = await route_request(

From 0ce1bfe26a1ead30a87cbde2e660b468c4fd6510 Mon Sep 17 00:00:00 2001
From: Sameer Kankute <sameer@berri.ai>
Date: Thu, 5 Feb 2026 10:44:48 +0530
Subject: [PATCH 21/21] =?UTF-8?q?bump:=20version=201.81.7=20=E2=86=92=201.?=
 =?UTF-8?q?81.8?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 pyproject.toml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 80841912c54..0d0968ee8ee 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "1.81.7"
+version = "1.81.8"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT"
@@ -174,7 +174,7 @@ requires = ["poetry-core", "wheel"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.commitizen]
-version = "1.81.7"
+version = "1.81.8"
 version_files = [
     "pyproject.toml:^version"
 ]