From f6b03a469e8ea00b1ed9cbba408cfca7f8374cb5 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Mon, 30 Mar 2026 16:38:52 +0530 Subject: [PATCH 001/165] feat(responses): add use_responses_api_bridge flag for openai/ models with custom api_base MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Allows openai/-prefixed models with a custom api_base pointing to a third-party OpenAI-compatible provider to opt-in to the /responses → /chat/completions bridge, rather than forwarding requests natively to /v1/responses (which may not be supported by the provider). Co-Authored-By: Claude Sonnet 4.6 --- litellm/responses/main.py | 4 +- litellm/types/router.py | 3 + .../test_responses_api_bridge_flag.py | 107 ++++++++++++++++++ 3 files changed, 113 insertions(+), 1 deletion(-) create mode 100644 tests/test_litellm/responses/test_responses_api_bridge_flag.py diff --git a/litellm/responses/main.py b/litellm/responses/main.py index c82574278ba..1e97951c50c 100644 --- a/litellm/responses/main.py +++ b/litellm/responses/main.py @@ -754,6 +754,7 @@ def responses( litellm_logging_obj: LiteLLMLoggingObj = kwargs.get("litellm_logging_obj") # type: ignore litellm_call_id: Optional[str] = kwargs.get("litellm_call_id", None) _is_async = kwargs.pop("aresponses", False) is True + use_responses_api_bridge = kwargs.pop("use_responses_api_bridge", None) # Convert text_format to text parameter if provided text = ResponsesAPIRequestUtils.convert_text_format_to_text_param( @@ -871,6 +872,7 @@ def responses( if _has_file_search_tool(tools) and ( responses_api_provider_config is None + or use_responses_api_bridge is True or not responses_api_provider_config.supports_native_file_search() ): from litellm.responses.file_search.emulated_handler import ( @@ -919,7 +921,7 @@ def responses( **emulated_kwargs, ) - if responses_api_provider_config is None: + if responses_api_provider_config is None or use_responses_api_bridge is True: return litellm_completion_transformation_handler.response_api_handler( model=model, input=input, diff --git a/litellm/types/router.py b/litellm/types/router.py index 4257628e7cb..d608f302492 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -199,6 +199,7 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams): budget_duration: Optional[str] = None use_in_pass_through: Optional[bool] = False use_litellm_proxy: Optional[bool] = False + use_responses_api_bridge: Optional[bool] = None model_config = ConfigDict(extra="allow", arbitrary_types_allowed=True) merge_reasoning_content_in_choices: Optional[bool] = False model_info: Optional[Dict] = None @@ -318,6 +319,8 @@ class LiteLLMParamsTypedDict(TypedDict, total=False): configurable_clientside_auth_params: CONFIGURABLE_CLIENTSIDE_AUTH_PARAMS # for allowing api base switching on finetuned models ## DROP PARAMS ## drop_params: Optional[bool] + ## RESPONSES API BRIDGE ## + use_responses_api_bridge: Optional[bool] ## UNIFIED PROJECT/REGION ## region_name: Optional[str] ## VERTEX AI ## diff --git a/tests/test_litellm/responses/test_responses_api_bridge_flag.py b/tests/test_litellm/responses/test_responses_api_bridge_flag.py new file mode 100644 index 00000000000..51c6ea58f34 --- /dev/null +++ b/tests/test_litellm/responses/test_responses_api_bridge_flag.py @@ -0,0 +1,107 @@ +""" +Tests for the `use_responses_api_bridge` flag that allows openai/ models +with custom api_base to opt-in to the /responses → /chat/completions bridge. +""" + +import os +import sys +from unittest.mock import MagicMock, patch + +sys.path.insert( + 0, os.path.abspath("../../..") +) # Adds the parent directory to the system path + +import litellm + + +class TestUseResponsesApiBridgeFlag: + """Test that use_responses_api_bridge forces the chat completions bridge.""" + + @patch( + "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" + ) + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + def test_bridge_used_when_flag_is_true(self, mock_get_config, mock_bridge_handler): + """When use_responses_api_bridge=True, the bridge handler should be called + even though the provider (openai) has native responses API support.""" + # Setup: provider config returns a non-None config (native support exists) + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + + mock_bridge_handler.return_value = MagicMock() + + litellm.responses( + model="openai/my-custom-model", + input="Hello", + use_responses_api_bridge=True, + litellm_logging_obj=MagicMock(), + ) + + mock_bridge_handler.assert_called_once() + + @patch("litellm.responses.main.base_llm_http_handler.response_api_handler") + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + def test_native_forwarding_when_flag_absent( + self, mock_get_config, mock_native_handler + ): + """When use_responses_api_bridge is not set, openai/ models should use + native responses API forwarding (existing behavior).""" + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + mock_native_handler.return_value = MagicMock() + + litellm.responses( + model="openai/gpt-4o", + input="Hello", + litellm_logging_obj=MagicMock(), + ) + + mock_native_handler.assert_called_once() + + @patch( + "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" + ) + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + def test_flag_does_not_leak_into_kwargs(self, mock_get_config, mock_bridge_handler): + """The use_responses_api_bridge flag should be popped from kwargs and not + passed through to the bridge handler.""" + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + mock_bridge_handler.return_value = MagicMock() + + litellm.responses( + model="openai/my-custom-model", + input="Hello", + use_responses_api_bridge=True, + litellm_logging_obj=MagicMock(), + ) + + call_kwargs = mock_bridge_handler.call_args + # The flag should not appear in the kwargs passed to the bridge handler + all_kwargs = call_kwargs.kwargs if call_kwargs.kwargs else {} + assert "use_responses_api_bridge" not in all_kwargs + + @patch( + "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" + ) + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + def test_bridge_used_when_provider_config_none( + self, mock_get_config, mock_bridge_handler + ): + """When the provider has no native responses API config (returns None), + the bridge should be used regardless of the flag (existing behavior).""" + mock_get_config.return_value = None + mock_bridge_handler.return_value = MagicMock() + + litellm.responses( + model="anthropic/claude-3-haiku", + input="Hello", + litellm_logging_obj=MagicMock(), + ) + + mock_bridge_handler.assert_called_once() From de6fb5895f57bb82c231b33d7db3913056fd6a7a Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Mon, 30 Mar 2026 16:41:58 +0530 Subject: [PATCH 002/165] docs(responses): add use_responses_api_bridge opt-in bridge docs --- docs/my-website/docs/response_api.md | 58 ++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) diff --git a/docs/my-website/docs/response_api.md b/docs/my-website/docs/response_api.md index 0c428000c72..36c9ee13515 100644 --- a/docs/my-website/docs/response_api.md +++ b/docs/my-website/docs/response_api.md @@ -1505,6 +1505,64 @@ curl http://localhost:4000/v1/responses \ +### Opt-in bridge for `openai/` models with custom `api_base` + +If you're using an **OpenAI-compatible third-party provider** (e.g. llama.cpp, vLLM, LM Studio) via `openai/` prefix with a custom `api_base`, LiteLLM will normally forward `/responses` requests directly to that endpoint. If the provider only supports `/chat/completions`, the request will fail. + +Set `use_responses_api_bridge: true` to force the `/responses` → `/chat/completions` bridge for these models. + +#### Python SDK Usage + +```python showLineNumbers title="Force bridge for custom openai/ endpoint" +import litellm + +response = litellm.responses( + model="openai/my-custom-model", + input="Hello!", + api_base="http://localhost:8080", + api_key="fake-key", + use_responses_api_bridge=True, +) + +print(response) +``` + +#### LiteLLM Proxy Usage + +**Setup Config:** + +```yaml showLineNumbers title="config.yaml — bridge for custom openai/ endpoint" +model_list: +- model_name: my-local-model + litellm_params: + model: openai/my-custom-model + api_base: http://localhost:8080/v1 + api_key: fake-key + use_responses_api_bridge: true +``` + +**Start Proxy:** + +```bash showLineNumbers title="Start LiteLLM Proxy" +litellm --config /path/to/config.yaml + +# RUNNING on http://0.0.0.0:4000 +``` + +**Make Request:** + +```bash showLineNumbers title="Request via bridge" +curl http://localhost:4000/v1/responses \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer sk-1234" \ + -d '{ + "model": "my-local-model", + "input": "Hello!" + }' +``` + +This is particularly useful when connecting clients that hardcode the `/responses` endpoint (e.g. OpenAI Codex CLI with `wire_api = "responses"`) to local or third-party OpenAI-compatible providers that only expose `/chat/completions`. + ## Server-side compaction For long-running conversations, you can enable **server-side compaction** so that when the rendered context size crosses a threshold, the server automatically runs compaction in-stream and emits a compaction item—no separate `POST /v1/responses/compact` call is required. From 6b7629ec045e670fa5050aa2dc1381f607035bda Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Wed, 8 Apr 2026 22:00:30 +0530 Subject: [PATCH 003/165] Fix greptile review --- litellm/responses/main.py | 1 + .../test_responses_api_bridge_flag.py | 155 ++++++++++++++++++ 2 files changed, 156 insertions(+) diff --git a/litellm/responses/main.py b/litellm/responses/main.py index 1e97951c50c..80bd319569c 100644 --- a/litellm/responses/main.py +++ b/litellm/responses/main.py @@ -907,6 +907,7 @@ def responses( "extra_body": extra_body, "timeout": timeout, "custom_llm_provider": custom_llm_provider, + **({"use_responses_api_bridge": True} if use_responses_api_bridge else {}), **{k: v for k, v in kwargs.items() if k not in _internal_skip}, } if _is_async: diff --git a/tests/test_litellm/responses/test_responses_api_bridge_flag.py b/tests/test_litellm/responses/test_responses_api_bridge_flag.py index 51c6ea58f34..727692d55bd 100644 --- a/tests/test_litellm/responses/test_responses_api_bridge_flag.py +++ b/tests/test_litellm/responses/test_responses_api_bridge_flag.py @@ -1,6 +1,9 @@ """ Tests for the `use_responses_api_bridge` flag that allows openai/ models with custom api_base to opt-in to the /responses → /chat/completions bridge. + +Includes file_search emulation: the flag must be forwarded on inner aresponses +calls so routed requests do not hit a custom api_base /v1/responses endpoint. """ import os @@ -12,6 +15,7 @@ sys.path.insert( ) # Adds the parent directory to the system path import litellm +from litellm.types.llms.openai import ResponseAPIUsage, ResponsesAPIResponse class TestUseResponsesApiBridgeFlag: @@ -105,3 +109,154 @@ class TestUseResponsesApiBridgeFlag: ) mock_bridge_handler.assert_called_once() + + @patch("litellm.responses.file_search.emulated_handler._call_aresponses") + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + async def test_bridge_flag_forwarded_to_file_search_emulation( + self, mock_get_config, mock_call_aresponses + ): + """When use_responses_api_bridge=True and file_search tool is present, + the flag should be forwarded to the inner aresponses call in the + file_search emulation path.""" + # Setup: provider has native responses API support + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + + # Mock the inner aresponses call to return a valid response + mock_response = ResponsesAPIResponse( + id="resp_123", + model="openai/my-custom-model", + created_at=1234567890, + output=[ + {"type": "message", "content": [{"type": "text", "text": "Answer"}]} + ], + usage=ResponseAPIUsage( + input_tokens=10, output_tokens=5, total_tokens=15 + ), + ) + mock_call_aresponses.return_value = mock_response + + await litellm.aresponses( + model="openai/my-custom-model", + input="Search for information", + tools=[{"type": "file_search"}], + use_responses_api_bridge=True, + litellm_logging_obj=MagicMock(), + ) + + # Verify _call_aresponses was called with use_responses_api_bridge=True + mock_call_aresponses.assert_called_once() + call_kwargs = mock_call_aresponses.call_args.kwargs + assert ( + call_kwargs.get("use_responses_api_bridge") is True + ), "use_responses_api_bridge flag should be forwarded to inner aresponses call" + + @patch( + "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" + ) + @patch("litellm.vector_stores.main.asearch") + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + async def test_bridge_flag_prevents_native_responses_endpoint_call( + self, mock_get_config, mock_asearch, mock_bridge_handler + ): + """ + Concrete failing scenario: native OpenAI responses config + bridge flag + + file_search → emulation must still route inner calls through the bridge + (chat completions), not POST to api_base /v1/responses. + """ + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + mock_asearch.return_value = [] + + first_response = ResponsesAPIResponse( + id="resp_first", + model="openai/my-local-model", + created_at=1234567890, + output=[ + { + "type": "function_call", + "name": "litellm_file_search", + "call_id": "call_123", + "arguments": '{"queries": ["test query"]}', + } + ], + usage=ResponseAPIUsage( + input_tokens=10, output_tokens=5, total_tokens=15 + ), + ) + second_response = ResponsesAPIResponse( + id="resp_second", + model="openai/my-local-model", + created_at=1234567891, + output=[ + { + "type": "message", + "content": [{"type": "text", "text": "Final answer"}], + } + ], + usage=ResponseAPIUsage( + input_tokens=20, output_tokens=10, total_tokens=30 + ), + ) + mock_bridge_handler.side_effect = [first_response, second_response] + + result = await litellm.aresponses( + model="openai/my-local-model", + input="Search for information", + tools=[ + { + "type": "file_search", + "file_search": {"vector_store_ids": ["vs_123"]}, + } + ], + use_responses_api_bridge=True, + api_base="http://localhost:8080/v1", + litellm_logging_obj=MagicMock(), + ) + + assert mock_bridge_handler.call_count == 2, ( + "Bridge handler should be called twice: initial function-tool call " + "and follow-up with tool results" + ) + for call in mock_bridge_handler.call_args_list: + all_kwargs = call.kwargs if call.kwargs else {} + assert "use_responses_api_bridge" not in all_kwargs + assert result is not None + assert result.id is not None + + @patch("litellm.responses.main.base_llm_http_handler.response_api_handler") + @patch("litellm.vector_stores.main.asearch") + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + async def test_without_bridge_flag_uses_native_endpoint( + self, mock_get_config, mock_asearch, mock_native_handler + ): + """Without the bridge flag, openai/ with native config uses the native handler.""" + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + mock_asearch.return_value = [] + mock_native_handler.return_value = ResponsesAPIResponse( + id="resp_native", + model="openai/gpt-4o", + created_at=1234567890, + output=[ + { + "type": "message", + "content": [{"type": "text", "text": "Native response"}], + } + ], + usage=ResponseAPIUsage( + input_tokens=10, output_tokens=5, total_tokens=15 + ), + ) + + result = await litellm.aresponses( + model="openai/gpt-4o", + input="Hello", + litellm_logging_obj=MagicMock(), + ) + + mock_native_handler.assert_called_once() + assert result is not None From 0a8bf4ec9e7c98b70fffa770d54fe2d9035d9171 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Mon, 13 Apr 2026 18:03:27 +0530 Subject: [PATCH 004/165] feat(responses): rename bridge opt-in to use_chat_completions_api - Add use_chat_completions_api (keep use_responses_api_bridge as deprecated alias) - Support openai/chat_completions/ model prefix for the same behavior - Forward use_chat_completions_api in file_search emulation inner calls - Update response_api.md and extend unit tests Made-with: Cursor --- docs/my-website/docs/response_api.md | 29 +++++++-- litellm/responses/main.py | 44 +++++++++++-- litellm/types/router.py | 6 +- .../test_responses_api_bridge_flag.py | 65 ++++++++++++++++--- 4 files changed, 124 insertions(+), 20 deletions(-) diff --git a/docs/my-website/docs/response_api.md b/docs/my-website/docs/response_api.md index 36c9ee13515..94f5c3e52fa 100644 --- a/docs/my-website/docs/response_api.md +++ b/docs/my-website/docs/response_api.md @@ -1509,11 +1509,15 @@ curl http://localhost:4000/v1/responses \ If you're using an **OpenAI-compatible third-party provider** (e.g. llama.cpp, vLLM, LM Studio) via `openai/` prefix with a custom `api_base`, LiteLLM will normally forward `/responses` requests directly to that endpoint. If the provider only supports `/chat/completions`, the request will fail. -Set `use_responses_api_bridge: true` to force the `/responses` → `/chat/completions` bridge for these models. +Use any of these to force the `/responses` → `/chat/completions` bridge: + +1. **`use_chat_completions_api: true`** (recommended) — makes it explicit that LiteLLM will call the provider’s chat-completions API. +2. **`openai/chat_completions/`** — same pattern as `responses/` on chat completions: the model id encodes the routing choice. +3. **`use_responses_api_bridge: true`** — deprecated alias for `use_chat_completions_api` (kept for backward compatibility). #### Python SDK Usage -```python showLineNumbers title="Force bridge for custom openai/ endpoint" +```python showLineNumbers title="Force bridge for custom openai/ endpoint (flag)" import litellm response = litellm.responses( @@ -1521,7 +1525,22 @@ response = litellm.responses( input="Hello!", api_base="http://localhost:8080", api_key="fake-key", - use_responses_api_bridge=True, + use_chat_completions_api=True, +) + +print(response) +``` + +Or encode it in the model id: + +```python showLineNumbers title="Force bridge via openai/chat_completions/ model prefix" +import litellm + +response = litellm.responses( + model="openai/chat_completions/my-custom-model", + input="Hello!", + api_base="http://localhost:8080", + api_key="fake-key", ) print(response) @@ -1538,9 +1557,11 @@ model_list: model: openai/my-custom-model api_base: http://localhost:8080/v1 api_key: fake-key - use_responses_api_bridge: true + use_chat_completions_api: true ``` +Alternatively set `model: openai/chat_completions/my-custom-model` instead of the flag. + **Start Proxy:** ```bash showLineNumbers title="Start LiteLLM Proxy" diff --git a/litellm/responses/main.py b/litellm/responses/main.py index 80bd319569c..91e173a7a84 100644 --- a/litellm/responses/main.py +++ b/litellm/responses/main.py @@ -643,6 +643,29 @@ def _apply_prompt_management_to_responses_call( return input, model, custom_llm_provider +# Opt-in via model id (mirrors the `responses/` prefix pattern on chat completions). +_OPENAI_CHAT_COMPLETIONS_RESPONSES_MODEL_PREFIX = "openai/chat_completions/" + + +def _normalize_openai_chat_completions_responses_model(model: str) -> tuple[str, bool]: + """ + Strip `openai/chat_completions/` → `openai/` and return True when the + prefix was applied (same effect as use_chat_completions_api=True). + """ + if not model.startswith(_OPENAI_CHAT_COMPLETIONS_RESPONSES_MODEL_PREFIX): + return model, False + remainder = model[len(_OPENAI_CHAT_COMPLETIONS_RESPONSES_MODEL_PREFIX) :] + if not remainder: + return model, False + return f"openai/{remainder}", True + + +def _pop_use_chat_completions_api_kw(kwargs: Dict[str, Any]) -> bool: + """Pop bridge flags; True if either requests the chat-completions path.""" + use_cc = kwargs.pop("use_chat_completions_api", None) + return bool(use_cc) + + def _resolve_model_provider_for_responses( model: str, custom_llm_provider: Optional[str], @@ -754,7 +777,7 @@ def responses( litellm_logging_obj: LiteLLMLoggingObj = kwargs.get("litellm_logging_obj") # type: ignore litellm_call_id: Optional[str] = kwargs.get("litellm_call_id", None) _is_async = kwargs.pop("aresponses", False) is True - use_responses_api_bridge = kwargs.pop("use_responses_api_bridge", None) + use_chat_completions_api = _pop_use_chat_completions_api_kw(kwargs) # Convert text_format to text parameter if provided text = ResponsesAPIRequestUtils.convert_text_format_to_text_param( @@ -777,6 +800,15 @@ def responses( mock_response=litellm_params.mock_response ) + _stripped_model, _from_chat_completions_prefix = ( + _normalize_openai_chat_completions_responses_model(model) + ) + model = _stripped_model + local_vars["model"] = model + use_chat_completions_api = ( + use_chat_completions_api or _from_chat_completions_prefix + ) + model, custom_llm_provider = _resolve_model_provider_for_responses( model=model, custom_llm_provider=custom_llm_provider, @@ -872,7 +904,7 @@ def responses( if _has_file_search_tool(tools) and ( responses_api_provider_config is None - or use_responses_api_bridge is True + or use_chat_completions_api is True or not responses_api_provider_config.supports_native_file_search() ): from litellm.responses.file_search.emulated_handler import ( @@ -907,7 +939,11 @@ def responses( "extra_body": extra_body, "timeout": timeout, "custom_llm_provider": custom_llm_provider, - **({"use_responses_api_bridge": True} if use_responses_api_bridge else {}), + **( + {"use_chat_completions_api": True} + if use_chat_completions_api + else {} + ), **{k: v for k, v in kwargs.items() if k not in _internal_skip}, } if _is_async: @@ -922,7 +958,7 @@ def responses( **emulated_kwargs, ) - if responses_api_provider_config is None or use_responses_api_bridge is True: + if responses_api_provider_config is None or use_chat_completions_api is True: return litellm_completion_transformation_handler.response_api_handler( model=model, input=input, diff --git a/litellm/types/router.py b/litellm/types/router.py index d608f302492..6f483c883d2 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -199,7 +199,7 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams): budget_duration: Optional[str] = None use_in_pass_through: Optional[bool] = False use_litellm_proxy: Optional[bool] = False - use_responses_api_bridge: Optional[bool] = None + use_chat_completions_api: Optional[bool] = None model_config = ConfigDict(extra="allow", arbitrary_types_allowed=True) merge_reasoning_content_in_choices: Optional[bool] = False model_info: Optional[Dict] = None @@ -319,8 +319,8 @@ class LiteLLMParamsTypedDict(TypedDict, total=False): configurable_clientside_auth_params: CONFIGURABLE_CLIENTSIDE_AUTH_PARAMS # for allowing api base switching on finetuned models ## DROP PARAMS ## drop_params: Optional[bool] - ## RESPONSES API BRIDGE ## - use_responses_api_bridge: Optional[bool] + ## RESPONSES API → CHAT COMPLETIONS BRIDGE ## + use_chat_completions_api: Optional[bool] ## UNIFIED PROJECT/REGION ## region_name: Optional[str] ## VERTEX AI ## diff --git a/tests/test_litellm/responses/test_responses_api_bridge_flag.py b/tests/test_litellm/responses/test_responses_api_bridge_flag.py index 727692d55bd..e635e125605 100644 --- a/tests/test_litellm/responses/test_responses_api_bridge_flag.py +++ b/tests/test_litellm/responses/test_responses_api_bridge_flag.py @@ -1,6 +1,7 @@ """ -Tests for the `use_responses_api_bridge` flag that allows openai/ models -with custom api_base to opt-in to the /responses → /chat/completions bridge. +Tests for forcing the /responses → /chat/completions bridge for `openai/` models +(via `use_chat_completions_api`, deprecated `use_responses_api_bridge`, or the +`openai/chat_completions/` model id). Includes file_search emulation: the flag must be forwarded on inner aresponses calls so routed requests do not hit a custom api_base /v1/responses endpoint. @@ -19,7 +20,7 @@ from litellm.types.llms.openai import ResponseAPIUsage, ResponsesAPIResponse class TestUseResponsesApiBridgeFlag: - """Test that use_responses_api_bridge forces the chat completions bridge.""" + """Test that bridge opt-in forces the chat completions path.""" @patch( "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" @@ -28,8 +29,7 @@ class TestUseResponsesApiBridgeFlag: "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" ) def test_bridge_used_when_flag_is_true(self, mock_get_config, mock_bridge_handler): - """When use_responses_api_bridge=True, the bridge handler should be called - even though the provider (openai) has native responses API support.""" + """When use_responses_api_bridge=True (deprecated alias), the bridge runs.""" # Setup: provider config returns a non-None config (native support exists) mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() @@ -44,6 +44,51 @@ class TestUseResponsesApiBridgeFlag: mock_bridge_handler.assert_called_once() + @patch( + "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" + ) + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + def test_bridge_used_when_use_chat_completions_api_true( + self, mock_get_config, mock_bridge_handler + ): + """When use_chat_completions_api=True, the bridge handler should be called.""" + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + mock_bridge_handler.return_value = MagicMock() + + litellm.responses( + model="openai/my-custom-model", + input="Hello", + use_chat_completions_api=True, + litellm_logging_obj=MagicMock(), + ) + + mock_bridge_handler.assert_called_once() + + @patch( + "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" + ) + @patch( + "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" + ) + def test_bridge_used_when_model_uses_chat_completions_prefix( + self, mock_get_config, mock_bridge_handler + ): + """`openai/chat_completions/` normalizes to `openai/` and uses the bridge.""" + mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() + mock_bridge_handler.return_value = MagicMock() + + litellm.responses( + model="openai/chat_completions/my-custom-model", + input="Hello", + litellm_logging_obj=MagicMock(), + ) + + mock_bridge_handler.assert_called_once() + # Model string is provider-normalized after resolution; prefix only forces the bridge. + assert mock_bridge_handler.call_args.kwargs["model"].endswith("my-custom-model") + @patch("litellm.responses.main.base_llm_http_handler.response_api_handler") @patch( "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" @@ -84,9 +129,10 @@ class TestUseResponsesApiBridgeFlag: ) call_kwargs = mock_bridge_handler.call_args - # The flag should not appear in the kwargs passed to the bridge handler + # Bridge flags should not appear in the kwargs passed to the bridge handler all_kwargs = call_kwargs.kwargs if call_kwargs.kwargs else {} assert "use_responses_api_bridge" not in all_kwargs + assert "use_chat_completions_api" not in all_kwargs @patch( "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" @@ -145,12 +191,12 @@ class TestUseResponsesApiBridgeFlag: litellm_logging_obj=MagicMock(), ) - # Verify _call_aresponses was called with use_responses_api_bridge=True + # Verify _call_aresponses was called with use_chat_completions_api=True mock_call_aresponses.assert_called_once() call_kwargs = mock_call_aresponses.call_args.kwargs assert ( - call_kwargs.get("use_responses_api_bridge") is True - ), "use_responses_api_bridge flag should be forwarded to inner aresponses call" + call_kwargs.get("use_chat_completions_api") is True + ), "use_chat_completions_api should be forwarded to inner aresponses call" @patch( "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" @@ -223,6 +269,7 @@ class TestUseResponsesApiBridgeFlag: for call in mock_bridge_handler.call_args_list: all_kwargs = call.kwargs if call.kwargs else {} assert "use_responses_api_bridge" not in all_kwargs + assert "use_chat_completions_api" not in all_kwargs assert result is not None assert result.id is not None From 2506ccb2bc5d0ab3b8a9c5752c61c12a960b74c1 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Mon, 13 Apr 2026 18:22:17 +0530 Subject: [PATCH 005/165] refactor(responses): drop use_responses_api_bridge; fix PLR0915 - Only use_chat_completions_api and openai/chat_completions/ opt into the bridge - Extract MCP gateway and file_search emulation dispatch to cut responses() size - Update docs and tests Made-with: Cursor --- docs/my-website/docs/response_api.md | 5 +- litellm/responses/main.py | 379 ++++++++++++------ .../test_responses_api_bridge_flag.py | 41 +- 3 files changed, 272 insertions(+), 153 deletions(-) diff --git a/docs/my-website/docs/response_api.md b/docs/my-website/docs/response_api.md index 94f5c3e52fa..20bb6d50d97 100644 --- a/docs/my-website/docs/response_api.md +++ b/docs/my-website/docs/response_api.md @@ -1509,11 +1509,10 @@ curl http://localhost:4000/v1/responses \ If you're using an **OpenAI-compatible third-party provider** (e.g. llama.cpp, vLLM, LM Studio) via `openai/` prefix with a custom `api_base`, LiteLLM will normally forward `/responses` requests directly to that endpoint. If the provider only supports `/chat/completions`, the request will fail. -Use any of these to force the `/responses` → `/chat/completions` bridge: +Use either of these to force the `/responses` → `/chat/completions` bridge: -1. **`use_chat_completions_api: true`** (recommended) — makes it explicit that LiteLLM will call the provider’s chat-completions API. +1. **`use_chat_completions_api: true`** — makes it explicit that LiteLLM will call the provider’s chat-completions API. 2. **`openai/chat_completions/`** — same pattern as `responses/` on chat completions: the model id encodes the routing choice. -3. **`use_responses_api_bridge: true`** — deprecated alias for `use_chat_completions_api` (kept for backward compatibility). #### Python SDK Usage diff --git a/litellm/responses/main.py b/litellm/responses/main.py index 91e173a7a84..edd936e7344 100644 --- a/litellm/responses/main.py +++ b/litellm/responses/main.py @@ -661,7 +661,7 @@ def _normalize_openai_chat_completions_responses_model(model: str) -> tuple[str, def _pop_use_chat_completions_api_kw(kwargs: Dict[str, Any]) -> bool: - """Pop bridge flags; True if either requests the chat-completions path.""" + """Pop use_chat_completions_api; True when the chat-completions bridge is requested.""" use_cc = kwargs.pop("use_chat_completions_api", None) return bool(use_cc) @@ -728,6 +728,175 @@ def _apply_managed_file_id_mapping( return input, tools +def _responses_try_dispatch_mcp_gateway( + *, + tools: Optional[Iterable[ToolParam]], + input: Union[str, ResponseInputParam], + model: str, + include: Optional[List[ResponseIncludable]], + instructions: Optional[str], + max_output_tokens: Optional[int], + prompt: Optional[PromptObject], + metadata: Optional[Dict[str, Any]], + parallel_tool_calls: Optional[bool], + previous_response_id: Optional[str], + reasoning: Optional[Reasoning], + store: Optional[bool], + background: Optional[bool], + stream: Optional[bool], + temperature: Optional[float], + text: Any, + tool_choice: Optional[ToolChoice], + top_p: Optional[float], + truncation: Optional[Literal["auto", "disabled"]], + user: Optional[str], + extra_headers: Optional[Dict[str, Any]], + extra_query: Optional[Dict[str, Any]], + extra_body: Optional[Dict[str, Any]], + timeout: Optional[Union[float, httpx.Timeout]], + custom_llm_provider: Optional[str], + kwargs: Dict[str, Any], + _is_async: bool, +) -> Optional[Any]: + """Return a response when MCP gateway handles the call; otherwise None.""" + from litellm.responses.mcp.litellm_proxy_mcp_handler import ( + LiteLLM_Proxy_MCP_Handler, + ) + + if not LiteLLM_Proxy_MCP_Handler._should_use_litellm_mcp_gateway(tools=tools): + return None + mcp_call_kwargs = { + "input": input, + "model": model, + "include": include, + "instructions": instructions, + "max_output_tokens": max_output_tokens, + "prompt": prompt, + "metadata": metadata, + "parallel_tool_calls": parallel_tool_calls, + "previous_response_id": previous_response_id, + "reasoning": reasoning, + "store": store, + "background": background, + "stream": stream, + "temperature": temperature, + "text": text, + "tool_choice": tool_choice, + "tools": tools, + "top_p": top_p, + "truncation": truncation, + "user": user, + "extra_headers": extra_headers, + "extra_query": extra_query, + "extra_body": extra_body, + "timeout": timeout, + "custom_llm_provider": custom_llm_provider, + **kwargs, + } + if _is_async: + return aresponses_api_with_mcp(**mcp_call_kwargs) + return run_async_function(aresponses_api_with_mcp, **mcp_call_kwargs) + + +def _responses_try_dispatch_emulated_file_search( + *, + tools: Optional[Iterable[ToolParam]], + input: Union[str, ResponseInputParam], + model: str, + responses_api_provider_config: Optional[BaseResponsesAPIConfig], + use_chat_completions_api: bool, + include: Optional[List[ResponseIncludable]], + instructions: Optional[str], + max_output_tokens: Optional[int], + prompt: Optional[PromptObject], + metadata: Optional[Dict[str, Any]], + parallel_tool_calls: Optional[bool], + previous_response_id: Optional[str], + reasoning: Optional[Reasoning], + store: Optional[bool], + background: Optional[bool], + stream: Optional[bool], + temperature: Optional[float], + text: Any, + tool_choice: Optional[ToolChoice], + top_p: Optional[float], + truncation: Optional[Literal["auto", "disabled"]], + user: Optional[str], + service_tier: Optional[str], + safety_identifier: Optional[str], + text_format: Optional[Union[Type[BaseModel], dict]], + allowed_openai_params: Optional[List[str]], + extra_headers: Optional[Dict[str, Any]], + extra_query: Optional[Dict[str, Any]], + extra_body: Optional[Dict[str, Any]], + timeout: Optional[Union[float, httpx.Timeout]], + custom_llm_provider: Optional[str], + kwargs: Dict[str, Any], + _is_async: bool, +) -> Optional[Any]: + """Return a response when emulated file_search handles the call; otherwise None.""" + if not _has_file_search_tool(tools) or not ( + responses_api_provider_config is None + or use_chat_completions_api is True + or not responses_api_provider_config.supports_native_file_search() + ): + return None + from litellm.responses.file_search.emulated_handler import ( + aresponses_with_emulated_file_search, + ) + + _internal_skip = {"litellm_call_id", "aresponses"} + emulated_kwargs = { + "include": include, + "instructions": instructions, + "max_output_tokens": max_output_tokens, + "prompt": prompt, + "metadata": metadata, + "parallel_tool_calls": parallel_tool_calls, + "previous_response_id": previous_response_id, + "reasoning": reasoning, + "store": store, + "background": background, + "stream": stream, + "temperature": temperature, + "text": text, + "tool_choice": tool_choice, + "top_p": top_p, + "truncation": truncation, + "user": user, + "service_tier": service_tier, + "safety_identifier": safety_identifier, + "text_format": text_format, + "allowed_openai_params": allowed_openai_params, + "extra_headers": extra_headers, + "extra_query": extra_query, + "extra_body": extra_body, + "timeout": timeout, + "custom_llm_provider": custom_llm_provider, + **( + { + **( + {"use_chat_completions_api": True} + if use_chat_completions_api + else {} + ), + **{k: v for k, v in kwargs.items() if k not in _internal_skip}, + } + ), + } + if _is_async: + return aresponses_with_emulated_file_search( + input=input, model=model, tools=tools, **emulated_kwargs + ) + return run_async_function( + aresponses_with_emulated_file_search, + input=input, + model=model, + tools=tools, + **emulated_kwargs, + ) + + @client def responses( input: Union[str, ResponseInputParam], @@ -769,9 +938,6 @@ def responses( Uses the synchronous HTTP handler to make requests. """ local_vars = locals() - from litellm.responses.mcp.litellm_proxy_mcp_handler import ( - LiteLLM_Proxy_MCP_Handler, - ) try: litellm_logging_obj: LiteLLMLoggingObj = kwargs.get("litellm_logging_obj") # type: ignore @@ -841,38 +1007,37 @@ def responses( ######################################################### # Native MCP Responses API ######################################################### - if LiteLLM_Proxy_MCP_Handler._should_use_litellm_mcp_gateway(tools=tools): - mcp_call_kwargs = { - "input": input, - "model": model, - "include": include, - "instructions": instructions, - "max_output_tokens": max_output_tokens, - "prompt": prompt, - "metadata": metadata, - "parallel_tool_calls": parallel_tool_calls, - "previous_response_id": previous_response_id, - "reasoning": reasoning, - "store": store, - "background": background, - "stream": stream, - "temperature": temperature, - "text": text, - "tool_choice": tool_choice, - "tools": tools, - "top_p": top_p, - "truncation": truncation, - "user": user, - "extra_headers": extra_headers, - "extra_query": extra_query, - "extra_body": extra_body, - "timeout": timeout, - "custom_llm_provider": custom_llm_provider, - **kwargs, - } - if _is_async: - return aresponses_api_with_mcp(**mcp_call_kwargs) - return run_async_function(aresponses_api_with_mcp, **mcp_call_kwargs) + _mcp_dispatch = _responses_try_dispatch_mcp_gateway( + tools=tools, + input=input, + model=model, + include=include, + instructions=instructions, + max_output_tokens=max_output_tokens, + prompt=prompt, + metadata=metadata, + parallel_tool_calls=parallel_tool_calls, + previous_response_id=previous_response_id, + reasoning=reasoning, + store=store, + background=background, + stream=stream, + temperature=temperature, + text=text, + tool_choice=tool_choice, + top_p=top_p, + truncation=truncation, + user=user, + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + custom_llm_provider=custom_llm_provider, + kwargs=kwargs, + _is_async=_is_async, + ) + if _mcp_dispatch is not None: + return _mcp_dispatch # get provider config responses_api_provider_config: Optional[BaseResponsesAPIConfig] @@ -902,61 +1067,43 @@ def responses( ) ) - if _has_file_search_tool(tools) and ( - responses_api_provider_config is None - or use_chat_completions_api is True - or not responses_api_provider_config.supports_native_file_search() - ): - from litellm.responses.file_search.emulated_handler import ( - aresponses_with_emulated_file_search, - ) - - _internal_skip = {"litellm_call_id", "aresponses"} - emulated_kwargs = { - "include": include, - "instructions": instructions, - "max_output_tokens": max_output_tokens, - "prompt": prompt, - "metadata": metadata, - "parallel_tool_calls": parallel_tool_calls, - "previous_response_id": previous_response_id, - "reasoning": reasoning, - "store": store, - "background": background, - "stream": stream, - "temperature": temperature, - "text": text, - "tool_choice": tool_choice, - "top_p": top_p, - "truncation": truncation, - "user": user, - "service_tier": service_tier, - "safety_identifier": safety_identifier, - "text_format": text_format, - "allowed_openai_params": allowed_openai_params, - "extra_headers": extra_headers, - "extra_query": extra_query, - "extra_body": extra_body, - "timeout": timeout, - "custom_llm_provider": custom_llm_provider, - **( - {"use_chat_completions_api": True} - if use_chat_completions_api - else {} - ), - **{k: v for k, v in kwargs.items() if k not in _internal_skip}, - } - if _is_async: - return aresponses_with_emulated_file_search( - input=input, model=model, tools=tools, **emulated_kwargs - ) - return run_async_function( - aresponses_with_emulated_file_search, - input=input, - model=model, - tools=tools, - **emulated_kwargs, - ) + _file_search_dispatch = _responses_try_dispatch_emulated_file_search( + tools=tools, + input=input, + model=model, + responses_api_provider_config=responses_api_provider_config, + use_chat_completions_api=use_chat_completions_api, + include=include, + instructions=instructions, + max_output_tokens=max_output_tokens, + prompt=prompt, + metadata=metadata, + parallel_tool_calls=parallel_tool_calls, + previous_response_id=previous_response_id, + reasoning=reasoning, + store=store, + background=background, + stream=stream, + temperature=temperature, + text=text, + tool_choice=tool_choice, + top_p=top_p, + truncation=truncation, + user=user, + service_tier=service_tier, + safety_identifier=safety_identifier, + text_format=text_format, + allowed_openai_params=allowed_openai_params, + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + custom_llm_provider=custom_llm_provider, + kwargs=kwargs, + _is_async=_is_async, + ) + if _file_search_dispatch is not None: + return _file_search_dispatch if responses_api_provider_config is None or use_chat_completions_api is True: return litellm_completion_transformation_handler.response_api_handler( @@ -1154,11 +1301,11 @@ def delete_responses( raise ValueError("custom_llm_provider is required but passed as None") # get provider config - responses_api_provider_config: Optional[ - BaseResponsesAPIConfig - ] = ProviderConfigManager.get_provider_responses_api_config( - model=None, - provider=custom_llm_provider, + responses_api_provider_config: Optional[BaseResponsesAPIConfig] = ( + ProviderConfigManager.get_provider_responses_api_config( + model=None, + provider=custom_llm_provider, + ) ) if responses_api_provider_config is None: @@ -1335,11 +1482,11 @@ def get_responses( raise ValueError("custom_llm_provider is required but passed as None") # get provider config - responses_api_provider_config: Optional[ - BaseResponsesAPIConfig - ] = ProviderConfigManager.get_provider_responses_api_config( - model=None, - provider=custom_llm_provider, + responses_api_provider_config: Optional[BaseResponsesAPIConfig] = ( + ProviderConfigManager.get_provider_responses_api_config( + model=None, + provider=custom_llm_provider, + ) ) if responses_api_provider_config is None: @@ -1493,11 +1640,11 @@ def list_input_items( if custom_llm_provider is None: raise ValueError("custom_llm_provider is required but passed as None") - responses_api_provider_config: Optional[ - BaseResponsesAPIConfig - ] = ProviderConfigManager.get_provider_responses_api_config( - model=None, - provider=custom_llm_provider, + responses_api_provider_config: Optional[BaseResponsesAPIConfig] = ( + ProviderConfigManager.get_provider_responses_api_config( + model=None, + provider=custom_llm_provider, + ) ) if responses_api_provider_config is None: @@ -1652,11 +1799,11 @@ def cancel_responses( raise ValueError("custom_llm_provider is required but passed as None") # get provider config - responses_api_provider_config: Optional[ - BaseResponsesAPIConfig - ] = ProviderConfigManager.get_provider_responses_api_config( - model=None, - provider=custom_llm_provider, + responses_api_provider_config: Optional[BaseResponsesAPIConfig] = ( + ProviderConfigManager.get_provider_responses_api_config( + model=None, + provider=custom_llm_provider, + ) ) if responses_api_provider_config is None: @@ -1840,11 +1987,11 @@ def compact_responses( raise ValueError("custom_llm_provider is required but passed as None") # get provider config - responses_api_provider_config: Optional[ - BaseResponsesAPIConfig - ] = ProviderConfigManager.get_provider_responses_api_config( - model=model, - provider=custom_llm_provider, + responses_api_provider_config: Optional[BaseResponsesAPIConfig] = ( + ProviderConfigManager.get_provider_responses_api_config( + model=model, + provider=custom_llm_provider, + ) ) if responses_api_provider_config is None: diff --git a/tests/test_litellm/responses/test_responses_api_bridge_flag.py b/tests/test_litellm/responses/test_responses_api_bridge_flag.py index e635e125605..463af6562f1 100644 --- a/tests/test_litellm/responses/test_responses_api_bridge_flag.py +++ b/tests/test_litellm/responses/test_responses_api_bridge_flag.py @@ -1,7 +1,6 @@ """ Tests for forcing the /responses → /chat/completions bridge for `openai/` models -(via `use_chat_completions_api`, deprecated `use_responses_api_bridge`, or the -`openai/chat_completions/` model id). +(via `use_chat_completions_api` or the `openai/chat_completions/` model id). Includes file_search emulation: the flag must be forwarded on inner aresponses calls so routed requests do not hit a custom api_base /v1/responses endpoint. @@ -22,28 +21,6 @@ from litellm.types.llms.openai import ResponseAPIUsage, ResponsesAPIResponse class TestUseResponsesApiBridgeFlag: """Test that bridge opt-in forces the chat completions path.""" - @patch( - "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" - ) - @patch( - "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" - ) - def test_bridge_used_when_flag_is_true(self, mock_get_config, mock_bridge_handler): - """When use_responses_api_bridge=True (deprecated alias), the bridge runs.""" - # Setup: provider config returns a non-None config (native support exists) - mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() - - mock_bridge_handler.return_value = MagicMock() - - litellm.responses( - model="openai/my-custom-model", - input="Hello", - use_responses_api_bridge=True, - litellm_logging_obj=MagicMock(), - ) - - mock_bridge_handler.assert_called_once() - @patch( "litellm.responses.main.litellm_completion_transformation_handler.response_api_handler" ) @@ -96,7 +73,7 @@ class TestUseResponsesApiBridgeFlag: def test_native_forwarding_when_flag_absent( self, mock_get_config, mock_native_handler ): - """When use_responses_api_bridge is not set, openai/ models should use + """When use_chat_completions_api is not set, openai/ models should use native responses API forwarding (existing behavior).""" mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() mock_native_handler.return_value = MagicMock() @@ -116,22 +93,19 @@ class TestUseResponsesApiBridgeFlag: "litellm.responses.main.ProviderConfigManager.get_provider_responses_api_config" ) def test_flag_does_not_leak_into_kwargs(self, mock_get_config, mock_bridge_handler): - """The use_responses_api_bridge flag should be popped from kwargs and not - passed through to the bridge handler.""" + """use_chat_completions_api should be popped and not passed to the bridge handler.""" mock_get_config.return_value = litellm.OpenAIResponsesAPIConfig() mock_bridge_handler.return_value = MagicMock() litellm.responses( model="openai/my-custom-model", input="Hello", - use_responses_api_bridge=True, + use_chat_completions_api=True, litellm_logging_obj=MagicMock(), ) call_kwargs = mock_bridge_handler.call_args - # Bridge flags should not appear in the kwargs passed to the bridge handler all_kwargs = call_kwargs.kwargs if call_kwargs.kwargs else {} - assert "use_responses_api_bridge" not in all_kwargs assert "use_chat_completions_api" not in all_kwargs @patch( @@ -163,7 +137,7 @@ class TestUseResponsesApiBridgeFlag: async def test_bridge_flag_forwarded_to_file_search_emulation( self, mock_get_config, mock_call_aresponses ): - """When use_responses_api_bridge=True and file_search tool is present, + """When use_chat_completions_api=True and file_search tool is present, the flag should be forwarded to the inner aresponses call in the file_search emulation path.""" # Setup: provider has native responses API support @@ -187,7 +161,7 @@ class TestUseResponsesApiBridgeFlag: model="openai/my-custom-model", input="Search for information", tools=[{"type": "file_search"}], - use_responses_api_bridge=True, + use_chat_completions_api=True, litellm_logging_obj=MagicMock(), ) @@ -257,7 +231,7 @@ class TestUseResponsesApiBridgeFlag: "file_search": {"vector_store_ids": ["vs_123"]}, } ], - use_responses_api_bridge=True, + use_chat_completions_api=True, api_base="http://localhost:8080/v1", litellm_logging_obj=MagicMock(), ) @@ -268,7 +242,6 @@ class TestUseResponsesApiBridgeFlag: ) for call in mock_bridge_handler.call_args_list: all_kwargs = call.kwargs if call.kwargs else {} - assert "use_responses_api_bridge" not in all_kwargs assert "use_chat_completions_api" not in all_kwargs assert result is not None assert result.id is not None From f122aa1b736e4f349ffbf15a11997ca4df07a541 Mon Sep 17 00:00:00 2001 From: shivam Date: Tue, 14 Apr 2026 20:47:57 -0700 Subject: [PATCH 006/165] fix(router): restore BYOK key injection for vector store endpoints with team-scoped deployments When vector store endpoints (POST/GET /v1/vector_stores) are called, model=None is passed to the router. map_team_model(None, team_id) was returning None unchanged after the team model routing fix in #25148, so the router never found the team's BYOK deployment and forwarded requests without the API key. Fix: when team_model_name is None, return the matched deployment's team_public_model_name (or model_name fallback) so the router can route to it and inject the BYOK credentials. Does not affect the sibling-deployment load-balancing fix since that only applies when a non-None model is passed. Co-Authored-By: Claude Sonnet 4.6 --- litellm/router.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/litellm/router.py b/litellm/router.py index 9185e437a3a..89275fa9025 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -8321,7 +8321,9 @@ class Router: # No match found return None - def map_team_model(self, team_model_name: str, team_id: str) -> Optional[str]: + def map_team_model( + self, team_model_name: Optional[str], team_id: str + ) -> Optional[str]: """ Check if team_model_name resolves to team-specific deployments. @@ -8329,6 +8331,11 @@ class Router: sibling deployments via team_id filtering, instead of collapsing to a single internal model_name. + When team_model_name is None (e.g. vector store / file endpoints that + don't include a model in their request), returns the first matching + team deployment's team_public_model_name so the router can inject BYOK + credentials from the team-scoped deployment. + Returns: - str: the team_model_name if team deployments exist for this team - None: if no team-specific model is found @@ -8338,6 +8345,13 @@ class Router: return None for model in models: if model.get("model_info", {}).get("team_id") == team_id: + if team_model_name is None: + # No model was specified (e.g. vector store endpoints). + # Return the deployment's public model name so the router + # can route to it and inject the BYOK API key. + return model.get("model_info", {}).get( + "team_public_model_name" + ) or model.get("model_name") return team_model_name # No team-scoped deployment found; wildcard/pattern routes are From 9a3d9b263241c97e58115bf7a0260ebb8166fe0f Mon Sep 17 00:00:00 2001 From: Vinh Pham Huu Date: Wed, 15 Apr 2026 17:11:12 +0700 Subject: [PATCH 007/165] feat: Enhance support for video metadata across all Gemini models in transformation logic and tests --- docs/my-website/docs/providers/vertex.md | 11 ++- .../llms/vertex_ai/gemini/transformation.py | 22 ++--- .../test_vertex_ai_gemini_transformation.py | 88 +++++++++++++++++++ ...test_vertex_and_google_ai_studio_gemini.py | 46 +++------- 4 files changed, 117 insertions(+), 50 deletions(-) diff --git a/docs/my-website/docs/providers/vertex.md b/docs/my-website/docs/providers/vertex.md index 0079bd2f57e..835e3bbcc2d 100644 --- a/docs/my-website/docs/providers/vertex.md +++ b/docs/my-website/docs/providers/vertex.md @@ -2061,7 +2061,7 @@ assert isinstance( ## Media Resolution Control (Images & Videos) -For Gemini 3+ models, LiteLLM supports per-part media resolution control using OpenAI's `detail` parameter. This allows you to specify different resolution levels for individual images and videos in your request, whether using `image_url` or `file` content types. +LiteLLM supports per-part media resolution control using OpenAI's `detail` parameter for all Gemini models. This allows you to specify different resolution levels for individual images and videos in your request, whether using `image_url` or `file` content types. **Supported `detail` values:** - `"low"` - Maps to `media_resolution: "low"` (280 tokens for images, 70 tokens per frame for videos) @@ -2146,12 +2146,12 @@ response = completion( :::info -**Per-Part Resolution:** Each image or video in your request can have its own `detail` setting, allowing mixed-resolution requests (e.g., a high-res chart alongside a low-res icon). This feature works with both `image_url` and `file` content types, and is only available for Gemini 3+ models. +**Per-Part Resolution:** Each image or video in your request can have its own `detail` setting, allowing mixed-resolution requests (e.g., a high-res chart alongside a low-res icon). This feature works with both `image_url` and `file` content types across all Gemini models. ::: ## Video Metadata Control -For Gemini 3+ models, LiteLLM supports fine-grained video processing control through the `video_metadata` field. This allows you to specify frame extraction rates and time ranges for video analysis. +LiteLLM supports fine-grained video processing control through the `video_metadata` field for all Gemini models (1.x, 2.x, 3+). This allows you to specify frame extraction rates and time ranges for video analysis. **Supported `video_metadata` parameters:** @@ -2168,8 +2168,11 @@ For Gemini 3+ models, LiteLLM supports fine-grained video processing control thr - `fps` remains unchanged ::: +:::tip +Video clipping (`start_offset`/`end_offset`) and frame rate control (`fps`) are supported by all Gemini models, but analysis quality is significantly higher with the **Gemini 2.5 series** (e.g., `gemini-2.5-flash`, `gemini-2.5-pro`). +::: + :::warning -- **Gemini 3+ Only:** This feature is only available for Gemini 3.0 and newer models - **Video Files Recommended:** While `video_metadata` is designed for video files, error handling for other media types is delegated to the Vertex AI API - **File Formats Supported:** Works with `gs://`, `https://`, and base64-encoded video files ::: diff --git a/litellm/llms/vertex_ai/gemini/transformation.py b/litellm/llms/vertex_ai/gemini/transformation.py index 6157a384dc0..d49a16fa908 100644 --- a/litellm/llms/vertex_ai/gemini/transformation.py +++ b/litellm/llms/vertex_ai/gemini/transformation.py @@ -131,23 +131,19 @@ def _extract_max_media_resolution_from_messages( return max_resolution -def _apply_gemini_3_metadata( +def _apply_gemini_metadata( part: PartType, model: Optional[str], media_resolution_enum: Optional[Dict[str, str]], video_metadata: Optional[Dict[str, Any]], ) -> PartType: """ - Apply the unique media_resolution and video_metadata parameters of Gemini 3+ + Apply media_resolution and video_metadata parameters to a Gemini part. + Both are supported across all Gemini models (1.x, 2.x, 3+). """ if model is None: return part - from .vertex_and_google_ai_studio_gemini import VertexGeminiConfig - - if not VertexGeminiConfig._is_gemini_3_or_newer(model): - return part - part_dict = dict(part) if media_resolution_enum is not None: @@ -205,7 +201,7 @@ def _process_gemini_media( mime_type = format file_data = FileDataType(mime_type=mime_type, file_uri=image_url) part: PartType = {"file_data": file_data} - return _apply_gemini_3_metadata( + return _apply_gemini_metadata( part, model, media_resolution_enum, video_metadata ) elif ( @@ -215,14 +211,14 @@ def _process_gemini_media( ): file_data = FileDataType(mime_type=image_type, file_uri=image_url) part = {"file_data": file_data} - return _apply_gemini_3_metadata( + return _apply_gemini_metadata( part, model, media_resolution_enum, video_metadata ) elif "http://" in image_url or "https://" in image_url or "base64" in image_url: image = convert_to_anthropic_image_obj(image_url, format=format) _blob: BlobType = {"data": image["data"], "mime_type": image["media_type"]} part = {"inline_data": cast(BlobType, _blob)} - return _apply_gemini_3_metadata( + return _apply_gemini_metadata( part, model, media_resolution_enum, video_metadata ) raise Exception("Invalid image received - {}".format(image_url)) @@ -732,9 +728,9 @@ def _transform_request_body( # noqa: PLR0915 **filtered_params ) - # For Gemini 2.x models, add media_resolution to generation_config (global) - # Gemini 3+ supports per-part media_resolution, but 2.x only supports global - # Gemini 1.x does not support mediaResolution at all + # For Gemini 2.x models, also add media_resolution to generation_config (global) + # as a fallback, since some 2.x versions may not support per-part media_resolution. + # Gemini 1.x does not support mediaResolution at all. if "gemini-2" in model: max_media_resolution = _extract_max_media_resolution_from_messages(messages) if max_media_resolution: diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py index 98cdf830304..ab9ae4c167e 100644 --- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py @@ -930,6 +930,94 @@ class TestMediaResolution: assert "mediaResolution" not in result["generationConfig"] +# Tests for VideoMetadata support across all Gemini models (Issue #25474) +class TestVideoMetadataAllGeminiModels: + """Tests that video_metadata (fps, start_offset, end_offset) works for all Gemini models""" + + def _make_video_messages(self, video_metadata: dict) -> list: + return [ + { + "role": "user", + "content": [ + {"type": "text", "text": "Analyze this video"}, + { + "type": "file", + "file": { + "file_id": "gs://bucket/video.mp4", + "format": "video/mp4", + "video_metadata": video_metadata, + }, + }, + ], + } + ] + + def _get_file_part(self, contents: list) -> dict: + for part in contents[0]["parts"]: + if "file_data" in part: + return part + raise AssertionError("No file part found in contents") + + def test_video_metadata_fps_gemini_2_5_flash(self): + """Gemini 2.5 Flash: fps in video_metadata should be forwarded (Issue #25474)""" + messages = self._make_video_messages({"fps": 5}) + contents = _gemini_convert_messages_with_history( + messages=messages, model="gemini-2.5-flash" + ) + file_part = self._get_file_part(contents) + assert "video_metadata" in file_part + assert file_part["video_metadata"]["fps"] == 5 + + def test_video_metadata_fps_gemini_2_5_pro(self): + """Gemini 2.5 Pro: fps in video_metadata should be forwarded (Issue #25474)""" + messages = self._make_video_messages({"fps": 10}) + contents = _gemini_convert_messages_with_history( + messages=messages, model="gemini-2.5-pro" + ) + file_part = self._get_file_part(contents) + assert "video_metadata" in file_part + assert file_part["video_metadata"]["fps"] == 10 + + def test_video_metadata_offsets_gemini_2_5_flash(self): + """Gemini 2.5 Flash: start_offset/end_offset converted to camelCase (Issue #25474)""" + messages = self._make_video_messages( + {"start_offset": "5s", "end_offset": "30s"} + ) + contents = _gemini_convert_messages_with_history( + messages=messages, model="gemini-2.5-flash" + ) + file_part = self._get_file_part(contents) + assert "video_metadata" in file_part + vm = file_part["video_metadata"] + assert vm["startOffset"] == "5s" + assert vm["endOffset"] == "30s" + + def test_video_metadata_all_fields_gemini_2_5_flash(self): + """Gemini 2.5 Flash: all video_metadata fields forwarded correctly (Issue #25474)""" + messages = self._make_video_messages( + {"fps": 5, "start_offset": "10s", "end_offset": "60s"} + ) + contents = _gemini_convert_messages_with_history( + messages=messages, model="gemini-2.5-flash" + ) + file_part = self._get_file_part(contents) + assert "video_metadata" in file_part + vm = file_part["video_metadata"] + assert vm["fps"] == 5 + assert vm["startOffset"] == "10s" + assert vm["endOffset"] == "60s" + + def test_video_metadata_gemini_1_5_pro(self): + """Gemini 1.5 Pro: video_metadata should also be forwarded (Issue #25474)""" + messages = self._make_video_messages({"fps": 2}) + contents = _gemini_convert_messages_with_history( + messages=messages, model="gemini-1.5-pro" + ) + file_part = self._get_file_part(contents) + assert "video_metadata" in file_part + assert file_part["video_metadata"]["fps"] == 2 + + def test_convert_tool_response_with_base64_image(): """Test tool response with base64 data URI image.""" # Create a small test image (1x1 red pixel PNG) diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py index a0979664943..f77bba56cb4 100644 --- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py +++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py @@ -3476,8 +3476,8 @@ def test_new_detail_levels(): assert file_part["media_resolution"] == {"level": "MEDIA_RESOLUTION_MEDIUM"} -def test_video_metadata_only_for_gemini_3(): - """Test that video_metadata is only applied for Gemini 3+ models (Issue #19026)""" +def test_video_metadata_supported_for_all_gemini_models(): + """Test that video_metadata is applied for all Gemini models (Issue #25474)""" from litellm.llms.vertex_ai.gemini.transformation import ( _gemini_convert_messages_with_history, ) @@ -3499,39 +3499,19 @@ def test_video_metadata_only_for_gemini_3(): } ] - # Test with Gemini 1.5 (should not have video_metadata or media_resolution) - contents_1_5 = _gemini_convert_messages_with_history( - messages=messages, model="gemini-1.5-pro" - ) + for model in ["gemini-1.5-pro", "gemini-2.5-flash", "gemini-2.5-pro", "gemini-3-pro-preview"]: + contents = _gemini_convert_messages_with_history(messages=messages, model=model) - file_part_1_5 = None - for part in contents_1_5[0]["parts"]: - if "file_data" in part: - file_part_1_5 = part - break + file_part = None + for part in contents[0]["parts"]: + if "file_data" in part: + file_part = part + break - assert file_part_1_5 is not None - assert ( - "media_resolution" not in file_part_1_5 - ), "Gemini 1.5 should not have media_resolution" - assert ( - "video_metadata" not in file_part_1_5 - ), "Gemini 1.5 should not have video_metadata" - - # Test with Gemini 3 (should have both) - contents_3 = _gemini_convert_messages_with_history( - messages=messages, model="gemini-3-pro-preview" - ) - - file_part_3 = None - for part in contents_3[0]["parts"]: - if "file_data" in part: - file_part_3 = part - break - - assert file_part_3 is not None - assert "media_resolution" in file_part_3, "Gemini 3 should have media_resolution" - assert "video_metadata" in file_part_3, "Gemini 3 should have video_metadata" + assert file_part is not None, f"{model}: file part should exist" + assert "video_metadata" in file_part, f"{model}: video_metadata should be present" + assert file_part["video_metadata"]["fps"] == 5, f"{model}: fps should be 5" + assert "media_resolution" in file_part, f"{model}: media_resolution should be present" def test_chunk_parser_handles_prompt_feedback_block(): From 61aee29b41fa55ca039ca6a9eb64a525939afe9b Mon Sep 17 00:00:00 2001 From: Vinh Pham Huu Date: Wed, 15 Apr 2026 17:56:15 +0700 Subject: [PATCH 008/165] feat: Update video metadata handling and media resolution checks for Gemini models --- litellm/llms/vertex_ai/gemini/transformation.py | 10 ++++++++-- .../gemini/test_vertex_and_google_ai_studio_gemini.py | 10 ++++++++++ 2 files changed, 18 insertions(+), 2 deletions(-) diff --git a/litellm/llms/vertex_ai/gemini/transformation.py b/litellm/llms/vertex_ai/gemini/transformation.py index d49a16fa908..5eaac5e48cb 100644 --- a/litellm/llms/vertex_ai/gemini/transformation.py +++ b/litellm/llms/vertex_ai/gemini/transformation.py @@ -139,14 +139,20 @@ def _apply_gemini_metadata( ) -> PartType: """ Apply media_resolution and video_metadata parameters to a Gemini part. - Both are supported across all Gemini models (1.x, 2.x, 3+). + + - Per-part media_resolution: Gemini 3+ only (2.x uses generation_config global). + - video_metadata (fps, startOffset, endOffset): all Gemini models (1.x, 2.x, 3+). """ if model is None: return part + from .vertex_and_google_ai_studio_gemini import VertexGeminiConfig + part_dict = dict(part) - if media_resolution_enum is not None: + if media_resolution_enum is not None and VertexGeminiConfig._is_gemini_3_or_newer( + model + ): part_dict["media_resolution"] = media_resolution_enum if video_metadata is not None: diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py index f77bba56cb4..1ea7486a515 100644 --- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py +++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py @@ -3511,8 +3511,18 @@ def test_video_metadata_supported_for_all_gemini_models(): assert file_part is not None, f"{model}: file part should exist" assert "video_metadata" in file_part, f"{model}: video_metadata should be present" assert file_part["video_metadata"]["fps"] == 5, f"{model}: fps should be 5" + + # Per-part media_resolution is Gemini 3+ only; 2.x uses generation_config global + for model in ["gemini-3-pro-preview"]: + contents = _gemini_convert_messages_with_history(messages=messages, model=model) + file_part = next(p for p in contents[0]["parts"] if "file_data" in p) assert "media_resolution" in file_part, f"{model}: media_resolution should be present" + for model in ["gemini-1.5-pro", "gemini-2.5-flash", "gemini-2.5-pro"]: + contents = _gemini_convert_messages_with_history(messages=messages, model=model) + file_part = next(p for p in contents[0]["parts"] if "file_data" in p) + assert "media_resolution" not in file_part, f"{model}: per-part media_resolution should not be set" + def test_chunk_parser_handles_prompt_feedback_block(): """Test chunk_parser correctly handles promptFeedback.blockReason""" From 9ed90d53cda128fe001435d070031ea37b0f0cea Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Wed, 15 Apr 2026 17:48:25 +0530 Subject: [PATCH 009/165] fix(router): enable order fallback for wildcard model groups Use wildcard-aware deployment lookup when building order-based fallback levels so requests like openai/gpt-4.1-mini can advance from order=1 to order=2, and add a regression test for wildcard routing. Made-with: Cursor --- litellm/router.py | 6 ++-- .../test_router_order_fallback.py | 36 +++++++++++++++++++ 2 files changed, 40 insertions(+), 2 deletions(-) diff --git a/litellm/router.py b/litellm/router.py index 9185e437a3a..7ef4b3d621c 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -5358,9 +5358,11 @@ class Router: _request_team_id: Optional[str] = ( kwargs.get("metadata", {}) or {} ).get("user_api_key_team_id") - all_deployments = self._get_all_deployments( + # Use wildcard-aware lookup so order-based fallback also works for model + # groups resolved via pattern routing (e.g. `openai/*` -> `openai/gpt-4.1-mini`). + all_deployments = self.get_model_list( model_name=original_model_group, team_id=_request_team_id - ) + ) or [] _order_set: set = { litellm.utils._get_deployment_order(d) for d in all_deployments diff --git a/tests/test_litellm/test_router_order_fallback.py b/tests/test_litellm/test_router_order_fallback.py index 760766a7461..d5fa4962356 100644 --- a/tests/test_litellm/test_router_order_fallback.py +++ b/tests/test_litellm/test_router_order_fallback.py @@ -329,3 +329,39 @@ async def test_router_order_fallback_with_non_standard_fallbacks(): fallbacks=["fallback-model"], # non-standard format, passed per-request ) assert response._hidden_params["model_id"] == "fallback" + + +@pytest.mark.asyncio +async def test_router_order_fallback_with_wildcard_model_group(): + """Wildcard model groups should also advance across order levels.""" + router = Router( + model_list=[ + { + "model_name": "openai/*", + "litellm_params": { + "model": "openai/*", + "api_key": "bad", + "mock_response": Exception("fail order 1"), + "order": 1, + }, + "model_info": {"id": "1"}, + }, + { + "model_name": "openai/*", + "litellm_params": { + "model": "openai/*", + "api_key": "good", + "mock_response": "success from wildcard order 2", + "order": 2, + }, + "model_info": {"id": "2"}, + }, + ], + num_retries=0, + ) + + response = await router.acompletion( + model="openai/gpt-4.1-mini", + messages=[{"role": "user", "content": "hi"}], + ) + assert response._hidden_params["model_id"] == "2" From f796036af031f5b340432e8f2f0fb447fafd4aee Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Thu, 16 Apr 2026 13:52:39 -0700 Subject: [PATCH 010/165] feat(proxy): add --reload flag for uvicorn hot reload (dev only) Opt-in CLI flag, off by default, no env var. Only affects the uvicorn run path; gunicorn/hypercorn paths and prod (which doesn't pass the flag) are unaffected. --- litellm/proxy/proxy_cli.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/litellm/proxy/proxy_cli.py b/litellm/proxy/proxy_cli.py index c638e294268..f1e5938c1f4 100644 --- a/litellm/proxy/proxy_cli.py +++ b/litellm/proxy/proxy_cli.py @@ -577,6 +577,12 @@ class ProxyInitializationHelpers: help="Exit with error if database migration fails on startup.", envvar="ENFORCE_PRISMA_MIGRATION_CHECK", ) +@click.option( + "--reload", + is_flag=True, + default=False, + help="Enable uvicorn hot reload (dev only). Incompatible with --num_workers>1, --run_gunicorn, and --run_hypercorn.", +) def run_server( # noqa: PLR0915 host, port, @@ -618,6 +624,7 @@ def run_server( # noqa: PLR0915 keepalive_timeout, max_requests_before_restart, enforce_prisma_migration_check: bool, + reload: bool, ): if setup: from litellm.setup_wizard import run_setup_wizard @@ -954,6 +961,9 @@ def run_server( # noqa: PLR0915 if loop_type: uvicorn_args["loop"] = loop_type + if reload: + uvicorn_args["reload"] = True + uvicorn.run( **uvicorn_args, workers=num_workers, From dd4a1d2be2f95ac67df2744b6218ff07af65336b Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Sat, 18 Apr 2026 16:35:17 -0700 Subject: [PATCH 011/165] feat: add adaptive routing to litellm allow model routing to improve based on conversation signals ensures router is picking best model for task --- .../migration.sql | 39 ++ .../litellm_proxy_extras/schema.prisma | 43 ++ .../out/{404.html => 404/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../out/{chat.html => chat/index.html} | 0 .../index.html} | 0 .../{budgets.html => budgets/index.html} | 0 .../{caching.html => caching/index.html} | 0 .../index.html} | 0 .../{old-usage.html => old-usage/index.html} | 0 .../{prompts.html => prompts/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../out/{login.html => login/index.html} | 0 .../out/{logs.html => logs/index.html} | 0 .../{callback.html => callback/index.html} | 0 .../{model-hub.html => model-hub/index.html} | 0 .../{model_hub.html => model_hub/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{policies.html => policies/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{ui-theme.html => ui-theme/index.html} | 0 .../out/{teams.html => teams/index.html} | 0 .../{test-key.html => test-key/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../out/{usage.html => usage/index.html} | 0 .../out/{users.html => users/index.html} | 0 .../index.html} | 0 litellm/proxy/_new_secret_config.yaml | 103 +++-- .../adaptive_router_update_queue.py | 216 ++++++++++ .../adaptive_router_example.yaml | 52 +++ litellm/proxy/proxy_server.py | 67 ++- litellm/proxy/schema.prisma | 43 ++ litellm/router.py | 171 +++++++- .../router_strategy/adaptive_router/README.md | 93 +++++ .../adaptive_router/__init__.py | 6 + .../adaptive_router/adaptive_router.py | 344 ++++++++++++++++ .../router_strategy/adaptive_router/bandit.py | 136 +++++++ .../adaptive_router/classifier.py | 140 +++++++ .../router_strategy/adaptive_router/config.py | 55 +++ .../router_strategy/adaptive_router/hooks.py | 241 +++++++++++ .../adaptive_router/signals.py | 272 +++++++++++++ litellm/types/router.py | 47 ++- schema.prisma | 43 ++ scripts/verify_adaptive_router.py | 216 ++++++++++ .../test_adaptive_router_update_queue.py | 117 ++++++ .../adaptive_router/__init__.py | 0 .../fixtures/clean_no_signals.json | 16 + .../fixtures/clean_satisfaction.json | 23 ++ .../fixtures/disengagement_giveup.json | 16 + .../fixtures/exhaustion_429.json | 9 + .../fixtures/exhaustion_context_overflow.json | 13 + .../fixtures/failure_tool_error.json | 13 + .../fixtures/loop_same_tool.json | 35 ++ .../fixtures/misalignment_rephrase.json | 16 + .../mixed_failure_then_satisfaction.json | 31 ++ .../fixtures/stagnation_repeat.json | 16 + .../adaptive_router/test_adaptive_router.py | 224 +++++++++++ .../adaptive_router/test_async_pre_routing.py | 137 +++++++ .../adaptive_router/test_bandit.py | 134 ++++++ .../adaptive_router/test_classifier.py | 116 ++++++ .../adaptive_router/test_config.py | 55 +++ .../test_e2e_adaptive_router.py | 263 ++++++++++++ .../adaptive_router/test_hooks.py | 329 +++++++++++++++ .../adaptive_router/test_router_dispatch.py | 380 ++++++++++++++++++ .../adaptive_router/test_signals.py | 112 ++++++ .../adaptive_router/test_state_endpoint.py | 196 +++++++++ uv.lock | 6 +- 76 files changed, 4542 insertions(+), 42 deletions(-) create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20260418000000_add_adaptive_router_tables/migration.sql rename litellm/proxy/_experimental/out/{404.html => 404/index.html} (100%) rename litellm/proxy/_experimental/out/{_not-found.html => _not-found/index.html} (100%) rename litellm/proxy/_experimental/out/{api-reference.html => api-reference/index.html} (100%) rename litellm/proxy/_experimental/out/{chat.html => chat/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{api-playground.html => api-playground/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{budgets.html => budgets/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{caching.html => caching/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{claude-code-plugins.html => claude-code-plugins/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{old-usage.html => old-usage/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{prompts.html => prompts/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{tag-management.html => tag-management/index.html} (100%) rename litellm/proxy/_experimental/out/{guardrails.html => guardrails/index.html} (100%) rename litellm/proxy/_experimental/out/{login.html => login/index.html} (100%) rename litellm/proxy/_experimental/out/{logs.html => logs/index.html} (100%) rename litellm/proxy/_experimental/out/mcp/oauth/{callback.html => callback/index.html} (100%) rename litellm/proxy/_experimental/out/{model-hub.html => model-hub/index.html} (100%) rename litellm/proxy/_experimental/out/{model_hub.html => model_hub/index.html} (100%) rename litellm/proxy/_experimental/out/{model_hub_table.html => model_hub_table/index.html} (100%) rename litellm/proxy/_experimental/out/{models-and-endpoints.html => models-and-endpoints/index.html} (100%) rename litellm/proxy/_experimental/out/{onboarding.html => onboarding/index.html} (100%) rename litellm/proxy/_experimental/out/{organizations.html => organizations/index.html} (100%) rename litellm/proxy/_experimental/out/{playground.html => playground/index.html} (100%) rename litellm/proxy/_experimental/out/{policies.html => policies/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{admin-settings.html => admin-settings/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{logging-and-alerts.html => logging-and-alerts/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{router-settings.html => router-settings/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{ui-theme.html => ui-theme/index.html} (100%) rename litellm/proxy/_experimental/out/{teams.html => teams/index.html} (100%) rename litellm/proxy/_experimental/out/{test-key.html => test-key/index.html} (100%) rename litellm/proxy/_experimental/out/tools/{mcp-servers.html => mcp-servers/index.html} (100%) rename litellm/proxy/_experimental/out/tools/{vector-stores.html => vector-stores/index.html} (100%) rename litellm/proxy/_experimental/out/{usage.html => usage/index.html} (100%) rename litellm/proxy/_experimental/out/{users.html => users/index.html} (100%) rename litellm/proxy/_experimental/out/{virtual-keys.html => virtual-keys/index.html} (100%) create mode 100644 litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py create mode 100644 litellm/proxy/example_config_yaml/adaptive_router_example.yaml create mode 100644 litellm/router_strategy/adaptive_router/README.md create mode 100644 litellm/router_strategy/adaptive_router/__init__.py create mode 100644 litellm/router_strategy/adaptive_router/adaptive_router.py create mode 100644 litellm/router_strategy/adaptive_router/bandit.py create mode 100644 litellm/router_strategy/adaptive_router/classifier.py create mode 100644 litellm/router_strategy/adaptive_router/config.py create mode 100644 litellm/router_strategy/adaptive_router/hooks.py create mode 100644 litellm/router_strategy/adaptive_router/signals.py create mode 100644 scripts/verify_adaptive_router.py create mode 100644 tests/test_litellm/proxy/db/db_transaction_queue/test_adaptive_router_update_queue.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/__init__.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/clean_no_signals.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/clean_satisfaction.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/disengagement_giveup.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/exhaustion_429.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/exhaustion_context_overflow.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/failure_tool_error.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/loop_same_tool.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/misalignment_rephrase.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/mixed_failure_then_satisfaction.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/fixtures/stagnation_repeat.json create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_async_pre_routing.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_bandit.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_classifier.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_config.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_e2e_adaptive_router.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_hooks.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_signals.py create mode 100644 tests/test_litellm/router_strategy/adaptive_router/test_state_endpoint.py diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260418000000_add_adaptive_router_tables/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260418000000_add_adaptive_router_tables/migration.sql new file mode 100644 index 00000000000..4d61db11150 --- /dev/null +++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260418000000_add_adaptive_router_tables/migration.sql @@ -0,0 +1,39 @@ +-- One row per (router, request_type, model). Hot path on every routing decision. +CREATE TABLE "LiteLLM_AdaptiveRouterState" ( + router_name TEXT NOT NULL, + request_type TEXT NOT NULL, + model_name TEXT NOT NULL, + alpha DOUBLE PRECISION NOT NULL, + beta DOUBLE PRECISION NOT NULL, + total_samples INTEGER NOT NULL DEFAULT 0, + last_updated_at TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (router_name, request_type, model_name) +); + +-- One row per (session, router, model). Updated per turn via the queue. +CREATE TABLE "LiteLLM_AdaptiveRouterSession" ( + session_id TEXT NOT NULL, + router_name TEXT NOT NULL, + model_name TEXT NOT NULL, + classified_type TEXT NOT NULL, + misalignment_count INTEGER DEFAULT 0, + stagnation_count INTEGER DEFAULT 0, + disengagement_count INTEGER DEFAULT 0, + satisfaction_count INTEGER DEFAULT 0, + failure_count INTEGER DEFAULT 0, + loop_count INTEGER DEFAULT 0, + exhaustion_count INTEGER DEFAULT 0, + last_user_content TEXT, + last_assistant_content TEXT, + tool_call_history JSONB DEFAULT '[]', + pending_tool_calls JSONB DEFAULT '{}', + turn_count INTEGER DEFAULT 0, + last_processed_turn INTEGER DEFAULT -1, + clean_credit_awarded BOOLEAN DEFAULT FALSE, + terminal_status INTEGER, + last_activity_at TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (session_id, router_name, model_name) +); + +CREATE INDEX "idx_adaptive_router_session_activity" + ON "LiteLLM_AdaptiveRouterSession" (last_activity_at); diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma index ce3f5f131f7..4e448b22a1c 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma +++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma @@ -1219,3 +1219,46 @@ model LiteLLM_ClaudeCodePluginTable { @@map("LiteLLM_ClaudeCodePluginTable") } + +// Per-(router, request_type, model) Beta posterior for the adaptive router. +model LiteLLM_AdaptiveRouterState { + router_name String + request_type String + model_name String + alpha Float + beta Float + total_samples Int @default(0) + last_updated_at DateTime @default(now()) + + @@id([router_name, request_type, model_name]) +} + +// Per-(session, router, model) signal counters for the adaptive router. +model LiteLLM_AdaptiveRouterSession { + session_id String + router_name String + model_name String + classified_type String + + misalignment_count Int @default(0) + stagnation_count Int @default(0) + disengagement_count Int @default(0) + satisfaction_count Int @default(0) + failure_count Int @default(0) + loop_count Int @default(0) + exhaustion_count Int @default(0) + + last_user_content String? + last_assistant_content String? + tool_call_history Json @default("[]") + pending_tool_calls Json @default("{}") + + turn_count Int @default(0) + last_processed_turn Int @default(-1) + clean_credit_awarded Boolean @default(false) + terminal_status Int? + last_activity_at DateTime @default(now()) + + @@id([session_id, router_name, model_name]) + @@index([last_activity_at]) +} diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404/index.html similarity index 100% rename from litellm/proxy/_experimental/out/404.html rename to litellm/proxy/_experimental/out/404/index.html diff --git a/litellm/proxy/_experimental/out/_not-found.html b/litellm/proxy/_experimental/out/_not-found/index.html similarity index 100% rename from litellm/proxy/_experimental/out/_not-found.html rename to litellm/proxy/_experimental/out/_not-found/index.html diff --git a/litellm/proxy/_experimental/out/api-reference.html b/litellm/proxy/_experimental/out/api-reference/index.html similarity index 100% rename from litellm/proxy/_experimental/out/api-reference.html rename to litellm/proxy/_experimental/out/api-reference/index.html diff --git a/litellm/proxy/_experimental/out/chat.html b/litellm/proxy/_experimental/out/chat/index.html similarity index 100% rename from litellm/proxy/_experimental/out/chat.html rename to litellm/proxy/_experimental/out/chat/index.html diff --git a/litellm/proxy/_experimental/out/experimental/api-playground.html b/litellm/proxy/_experimental/out/experimental/api-playground/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/api-playground.html rename to litellm/proxy/_experimental/out/experimental/api-playground/index.html diff --git 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litellm/proxy/_experimental/out/users.html rename to litellm/proxy/_experimental/out/users/index.html diff --git a/litellm/proxy/_experimental/out/virtual-keys.html b/litellm/proxy/_experimental/out/virtual-keys/index.html similarity index 100% rename from litellm/proxy/_experimental/out/virtual-keys.html rename to litellm/proxy/_experimental/out/virtual-keys/index.html diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml index 604e7d5f418..703fe6adc41 100644 --- a/litellm/proxy/_new_secret_config.yaml +++ b/litellm/proxy/_new_secret_config.yaml @@ -1,32 +1,83 @@ +# model_list: +# - model_name: claude-sonnet-4-6 +# litellm_params: {model: anthropic/claude-sonnet-4-6} +# model_info: +# litellm_routing_preferences: +# quality_tier: 1 +# keywords: [tin] +# - model_name: gpt-4o-mini +# litellm_params: {model: openai/gpt-4o-mini} +# model_info: +# litellm_routing_preferences: +# quality_tier: 1 +# keywords: [] +# - model_name: gpt-4o +# litellm_params: {model: openai/gpt-4o} +# model_info: +# litellm_routing_preferences: +# quality_tier: 2 +# keywords: [vision, function_calling] +# - model_name: opus +# litellm_params: {model: anthropic/claude-opus-4-7} +# model_info: +# litellm_routing_preferences: +# quality_tier: 3 +# keywords: ["architecture", "design"] +# - model_name: my-quality-router +# litellm_params: +# model: auto_router/adaptive_router +# adaptive_router_default_model: gpt-4o-mini +# adaptive_router_config: +# available_models: [gpt-4o-mini, gpt-4o, opus, claude-sonnet-4-6] +# Example proxy config for the adaptive router (v0). +# +# Wires one logical router ("smart-cheap-router") that adaptively picks between +# two real deployments ("fast" and "smart") based on per-session feedback signals. +# +# How to use from a client: +# POST /v1/chat/completions { "model": "smart-cheap-router", ... } +# Add { "metadata": { "litellm_session_id": "" } } to enable +# sticky-session routing within a conversation. +# +# Required env vars: OPENAI_API_KEY, DATABASE_URL. + model_list: - - # OpenAI model for /v1/chat/completions test — 200x custom pricing - - model_name: "gpt-4.1-mini" + # ---- The adaptive router "control" deployment ------------------------- + # `model_name` is what clients call. `available_models` lists the underlying + # deployments the router is allowed to pick from (must match other model_name + # entries in this list). + - model_name: smart-cheap-router litellm_params: - model: openai/gpt-4.1-mini - api_key: os.environ/OPENAI_API_KEY - model_info: - id: gpt-4.1-mini-custom-pricing - input_cost_per_token: 0.00004 # 100x standard ($0.40/1M = $0.0000004) - output_cost_per_token: 0.00016 # 100x standard ($1.60/1M = $0.0000016) + model: auto_router/adaptive_router + adaptive_router_config: + available_models: ["fast", "smart"] + weights: + quality: 0.7 + cost: 0.3 - # OpenAI model for /v1/responses test — 100x custom pricing - - model_name: "gpt-5" + # ---- Underlying deployments the router picks from --------------------- + - model_name: fast litellm_params: - model: openai/gpt-5 - api_key: os.environ/OPENAI_API_KEY - model_info: - id: gpt-5-custom-pricing - mode: "chat" - input_cost_per_token: 125 # 100x standard ($1.25/1M = $0.00000125) - output_cost_per_token: 10 # 100x standard ($10.00/1M = $0.00001) - - # Anthropic model for /v1/messages test — 100x custom pricing - - model_name: "claude-sonnet-4-20250514" - litellm_params: - model: anthropic/claude-sonnet-4-20250514 + model: anthropic/claude-sonnet-4-6 api_key: os.environ/ANTHROPIC_API_KEY + input_cost_per_token: 0.00000015 model_info: - id: claude-sonnet-4-custom-pricing - input_cost_per_token: 0.0003 # 100x standard ($0.000003) - output_cost_per_token: 0.0015 # 100x standard ($0.000015) \ No newline at end of file + adaptive_router_preferences: + quality_tier: 2 + strengths: [] + + - model_name: smart + litellm_params: + model: anthropic/claude-opus-4-7 + api_key: os.environ/ANTHROPIC_API_KEY + input_cost_per_token: 0.0000050 + model_info: + adaptive_router_preferences: + quality_tier: 3 + strengths: ["code_generation", "technical_design", "analytical_reasoning"] + +litellm_settings: + drop_params: True + +general_settings: + master_key: sk-1234 # REPLACE in production diff --git a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py b/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py new file mode 100644 index 00000000000..3a76370e7d7 --- /dev/null +++ b/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py @@ -0,0 +1,216 @@ +""" +In-memory queues for adaptive router state and session updates. + +Pattern follows DailySpendUpdateQueue: hot path is fully in-memory; a background +flusher task drains the aggregator and writes batches to Postgres. + +Two logical queues (one class): + 1. STATE updates: increments to (router, request_type, model) bandit cell. + Aggregator key = (router_name, request_type, model_name) + Aggregated payload = {"delta_alpha": float, "delta_beta": float, "samples_added": int} + 2. SESSION updates: full snapshot of a session row (last-write-wins per session+router+model). + Aggregator key = (session_id, router_name, model_name) + Aggregated payload = the full session state dict. + +Hot-path API is non-blocking and synchronous from the caller's POV (it just appends +to the in-memory aggregator). Flush is async and batched. +""" + +from __future__ import annotations + +import asyncio +from typing import Any, Dict, Tuple + +from litellm._logging import verbose_proxy_logger + +StateKey = Tuple[str, str, str] # (router_name, request_type, model_name) +SessionKey = Tuple[str, str, str] # (session_id, router_name, model_name) + + +class AdaptiveRouterUpdateQueue: + """ + Single class managing both state-update aggregation and session-snapshot aggregation. + Held by the AdaptiveRouter strategy instance and started by the proxy on boot. + """ + + def __init__(self) -> None: + self._state_agg: Dict[StateKey, Dict[str, float]] = {} + self._session_agg: Dict[SessionKey, Dict[str, Any]] = {} + self._lock = asyncio.Lock() + self._max_state_size_seen = 0 + self._max_session_size_seen = 0 + + # ---- Hot-path: state delta ------------------------------------------- + + async def add_state_delta( + self, + router_name: str, + request_type: str, + model_name: str, + delta_alpha: float, + delta_beta: float, + ) -> None: + """Aggregate a bandit-cell delta. Multiple deltas to the same cell sum.""" + key: StateKey = (router_name, request_type, model_name) + async with self._lock: + current = self._state_agg.get(key) + if current is None: + self._state_agg[key] = { + "delta_alpha": delta_alpha, + "delta_beta": delta_beta, + "samples_added": 1, + } + else: + current["delta_alpha"] += delta_alpha + current["delta_beta"] += delta_beta + current["samples_added"] += 1 + if len(self._state_agg) > self._max_state_size_seen: + self._max_state_size_seen = len(self._state_agg) + + # ---- Hot-path: session snapshot -------------------------------------- + + async def add_session_state( + self, + session_id: str, + router_name: str, + model_name: str, + state_dict: Dict[str, Any], + ) -> None: + """ + Last-write-wins per session row. The state_dict is a snapshot of the + SessionState (signals counts + bookkeeping fields). The flusher will + upsert this into LiteLLM_AdaptiveRouterSession. + """ + key: SessionKey = (session_id, router_name, model_name) + async with self._lock: + self._session_agg[key] = state_dict + if len(self._session_agg) > self._max_session_size_seen: + self._max_session_size_seen = len(self._session_agg) + + # ---- Flushers (called by background task) ---------------------------- + + async def flush_state_to_db(self, prisma_client: Any) -> int: + """ + Drain state aggregator and apply to LiteLLM_AdaptiveRouterState. + Returns number of cells flushed. + """ + async with self._lock: + batch = self._state_agg + self._state_agg = {} + + if not batch: + return 0 + + # Sort keys to give deterministic write order across writers and + # reduce the chance of cross-row deadlocks when other workers race us. + for key in sorted(batch.keys()): + router, rt, model = key + payload = batch[key] + try: + existing = ( + await prisma_client.db.litellm_adaptiverouterstate.find_unique( + where={ + "router_name_request_type_model_name": { + "router_name": router, + "request_type": rt, + "model_name": model, + } + } + ) + ) + new_alpha = (existing.alpha if existing else 0.0) + payload[ + "delta_alpha" + ] + new_beta = (existing.beta if existing else 0.0) + payload["delta_beta"] + new_samples = (existing.total_samples if existing else 0) + int( + payload["samples_added"] + ) + await prisma_client.db.litellm_adaptiverouterstate.upsert( + where={ + "router_name_request_type_model_name": { + "router_name": router, + "request_type": rt, + "model_name": model, + } + }, + data={ + "create": { + "router_name": router, + "request_type": rt, + "model_name": model, + "alpha": new_alpha, + "beta": new_beta, + "total_samples": new_samples, + }, + "update": { + "alpha": new_alpha, + "beta": new_beta, + "total_samples": new_samples, + }, + }, + ) + except Exception as e: + verbose_proxy_logger.exception( + "AdaptiveRouterUpdateQueue: failed to flush state for %s: %s", + key, + e, + ) + + return len(batch) + + async def flush_session_to_db(self, prisma_client: Any) -> int: + """ + Drain session aggregator and upsert into LiteLLM_AdaptiveRouterSession. + Returns number of session rows flushed. + """ + async with self._lock: + batch = self._session_agg + self._session_agg = {} + + if not batch: + return 0 + + for key in sorted(batch.keys()): + session_id, router, model = key + payload = batch[key] + try: + # NOTE: Prisma client lower-cases model names, so + # `LiteLLM_AdaptiveRouterSession` -> `litellm_adaptiveroutersession` + # (single 's', not 'litellm_adaptiverouterssession'). + await prisma_client.db.litellm_adaptiveroutersession.upsert( + where={ + "session_id_router_name_model_name": { + "session_id": session_id, + "router_name": router, + "model_name": model, + } + }, + data={ + "create": { + "session_id": session_id, + "router_name": router, + "model_name": model, + **payload, + }, + "update": payload, + }, + ) + except Exception as e: + verbose_proxy_logger.exception( + "AdaptiveRouterUpdateQueue: failed to flush session for %s: %s", + key, + e, + ) + + return len(batch) + + # ---- Observability --------------------------------------------------- + + async def queue_size(self) -> Dict[str, int]: + async with self._lock: + return { + "state_pending": len(self._state_agg), + "session_pending": len(self._session_agg), + "max_state_seen": self._max_state_size_seen, + "max_session_seen": self._max_session_size_seen, + } diff --git a/litellm/proxy/example_config_yaml/adaptive_router_example.yaml b/litellm/proxy/example_config_yaml/adaptive_router_example.yaml new file mode 100644 index 00000000000..7cc060420a2 --- /dev/null +++ b/litellm/proxy/example_config_yaml/adaptive_router_example.yaml @@ -0,0 +1,52 @@ +# Example proxy config for the adaptive router (v0). +# +# Wires one logical router ("smart-cheap-router") that adaptively picks between +# two real deployments ("fast" and "smart") based on per-session feedback signals. +# +# How to use from a client: +# POST /v1/chat/completions { "model": "smart-cheap-router", ... } +# Add { "metadata": { "litellm_session_id": "" } } to enable +# sticky-session routing within a conversation. +# +# Required env vars: OPENAI_API_KEY, DATABASE_URL. + +model_list: + # ---- The adaptive router "control" deployment ------------------------- + # `model_name` is what clients call. `available_models` lists the underlying + # deployments the router is allowed to pick from (must match other model_name + # entries in this list). + - model_name: smart-cheap-router + litellm_params: + model: openai/gpt-4o-mini # placeholder; never actually called -- router picks from available_models + adaptive_router_config: + available_models: ["fast", "smart"] + weights: + quality: 0.7 + cost: 0.3 + + # ---- Underlying deployments the router picks from --------------------- + - model_name: fast + litellm_params: + model: openai/gpt-4o-mini + api_key: os.environ/OPENAI_API_KEY + input_cost_per_token: 0.00000015 + model_info: + adaptive_router_preferences: + quality_tier: 2 + strengths: [] + + - model_name: smart + litellm_params: + model: openai/gpt-4o + api_key: os.environ/OPENAI_API_KEY + input_cost_per_token: 0.0000050 + model_info: + adaptive_router_preferences: + quality_tier: 3 + strengths: ["code_generation", "technical_design", "analytical_reasoning"] + +litellm_settings: + drop_params: True + +general_settings: + master_key: sk-1234 # REPLACE in production diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 2d789b982da..67a3414d0b2 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -952,6 +952,10 @@ async def proxy_startup_event(app: FastAPI): # noqa: PLR0915 _run_background_health_check() ) # start the background health check coroutine. + # Start adaptive-router queue flusher if any AdaptiveRouter is configured. + if llm_router is not None and getattr(llm_router, "adaptive_routers", None): + asyncio.create_task(_adaptive_router_flusher_loop()) + ## [Optional] Initialize dd tracer ProxyStartupEvent._init_dd_tracer() @@ -2201,9 +2205,11 @@ def run_ollama_serve(): with open(os.devnull, "w") as devnull: subprocess.Popen(command, stdout=devnull, stderr=devnull) except Exception as e: - verbose_proxy_logger.debug(f""" + verbose_proxy_logger.debug( + f""" LiteLLM Warning: proxy started with `ollama` model\n`ollama serve` failed with Exception{e}. \nEnsure you run `ollama serve` - """) + """ + ) def _get_process_rss_mb() -> Optional[float]: @@ -2385,6 +2391,31 @@ def _write_health_state_to_router_cache( ) +_ADAPTIVE_ROUTER_FLUSH_INTERVAL_SECONDS = 10 + + +async def _adaptive_router_flusher_loop(): + """ + Drain every AdaptiveRouter's in-memory state + session aggregators into + Postgres on a fixed cadence. Hot-path writes go to memory; this loop is + the only writer to the adaptive router DB tables. + """ + global llm_router, prisma_client + while True: + try: + await asyncio.sleep(_ADAPTIVE_ROUTER_FLUSH_INTERVAL_SECONDS) + adaptive_routers = getattr(llm_router, "adaptive_routers", None) or {} + if not adaptive_routers or prisma_client is None: + continue + for ar in adaptive_routers.values(): + await ar.queue.flush_state_to_db(prisma_client) + await ar.queue.flush_session_to_db(prisma_client) + except asyncio.CancelledError: + raise + except Exception: + verbose_proxy_logger.exception("adaptive_router flusher iteration failed") + + async def _run_background_health_check(): """ Periodically run health checks in the background on the endpoints. @@ -13877,6 +13908,38 @@ async def home(request: Request): return "LiteLLM: RUNNING" +@router.get( + "/adaptive_router/state", + tags=["adaptive_router"], + dependencies=[Depends(user_api_key_auth)], +) +async def get_adaptive_router_state( + user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), +): + """Return live bandit posteriors + queue depth for every configured adaptive router. + + Admin-only. Returns 404 if no adaptive router is configured. + + Response shape: `{"routers": [, ...]}` — one snapshot per + adaptive-router deployment. Each snapshot's `router_name` field identifies + which deployment it came from. + """ + if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN: + raise HTTPException( + status_code=403, + detail={"error": CommonProxyErrors.not_allowed_access.value}, + ) + if llm_router is None or not llm_router.adaptive_routers: + raise HTTPException( + status_code=404, + detail={"error": "No adaptive_router is configured on this proxy."}, + ) + snapshots = [ + await ar.get_state_snapshot() for ar in llm_router.adaptive_routers.values() + ] + return {"routers": snapshots} + + @router.get("/routes", dependencies=[Depends(user_api_key_auth)]) async def get_routes(): """ diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma index ce3f5f131f7..4e448b22a1c 100644 --- a/litellm/proxy/schema.prisma +++ b/litellm/proxy/schema.prisma @@ -1219,3 +1219,46 @@ model LiteLLM_ClaudeCodePluginTable { @@map("LiteLLM_ClaudeCodePluginTable") } + +// Per-(router, request_type, model) Beta posterior for the adaptive router. +model LiteLLM_AdaptiveRouterState { + router_name String + request_type String + model_name String + alpha Float + beta Float + total_samples Int @default(0) + last_updated_at DateTime @default(now()) + + @@id([router_name, request_type, model_name]) +} + +// Per-(session, router, model) signal counters for the adaptive router. +model LiteLLM_AdaptiveRouterSession { + session_id String + router_name String + model_name String + classified_type String + + misalignment_count Int @default(0) + stagnation_count Int @default(0) + disengagement_count Int @default(0) + satisfaction_count Int @default(0) + failure_count Int @default(0) + loop_count Int @default(0) + exhaustion_count Int @default(0) + + last_user_content String? + last_assistant_content String? + tool_call_history Json @default("[]") + pending_tool_calls Json @default("{}") + + turn_count Int @default(0) + last_processed_turn Int @default(-1) + clean_credit_awarded Boolean @default(false) + terminal_status Int? + last_activity_at DateTime @default(now()) + + @@id([session_id, router_name, model_name]) + @@index([last_activity_at]) +} diff --git a/litellm/router.py b/litellm/router.py index 9185e437a3a..33736fbfff5 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -200,12 +200,16 @@ if TYPE_CHECKING: from litellm.router_strategy.complexity_router.complexity_router import ( ComplexityRouter, ) + from litellm.router_strategy.adaptive_router.adaptive_router import ( + AdaptiveRouter, + ) Span = Union[_Span, Any] else: Span = Any AutoRouter = Any ComplexityRouter = Any + AdaptiveRouter = Any PreRoutingHookResponse = Any @@ -464,6 +468,7 @@ class Router: ) # {"TEAM_ID": PatternMatchRouter} self.auto_routers: Dict[str, "AutoRouter"] = {} self.complexity_routers: Dict[str, "ComplexityRouter"] = {} + self.adaptive_routers: Dict[str, "AdaptiveRouter"] = {} # Initialize model_group_alias early since it's used in set_model_list self.model_group_alias: Dict[str, Union[str, RouterModelGroupAliasItem]] = ( @@ -3864,7 +3869,7 @@ class Router: self._add_deployment_model_to_endpoint_for_llm_passthrough_route( kwargs=kwargs, model=model, model_name=model_name ) - + # Get custom_llm_provider from deployment params try: custom_llm_provider = data.get("custom_llm_provider") @@ -3872,10 +3877,12 @@ class Router: model=data["model"], custom_llm_provider=custom_llm_provider, ) - custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider + custom_llm_provider = ( + custom_llm_provider or inferred_custom_llm_provider + ) except Exception: custom_llm_provider = None - + # Build response kwargs response_kwargs = { **data, @@ -3885,7 +3892,7 @@ class Router: # Only set custom_llm_provider if it's not None if custom_llm_provider is not None: response_kwargs["custom_llm_provider"] = custom_llm_provider - + response = original_generic_function(**response_kwargs) rpm_semaphore = self._get_client( @@ -3981,7 +3988,9 @@ class Router: model=data["model"], custom_llm_provider=custom_llm_provider, ) - custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider + custom_llm_provider = ( + custom_llm_provider or inferred_custom_llm_provider + ) except Exception: custom_llm_provider = None @@ -4246,7 +4255,9 @@ class Router: custom_llm_provider=custom_llm_provider, ) # Preserve explicitly stored provider, fallback to inferred - custom_llm_provider = custom_llm_provider or inferred_custom_llm_provider + custom_llm_provider = ( + custom_llm_provider or inferred_custom_llm_provider + ) ## REPLACE MODEL IN FILE WITH SELECTED DEPLOYMENT ## purpose = cast(Optional[OpenAIFilesPurpose], kwargs.get("purpose")) @@ -5355,9 +5366,9 @@ class Router: e, (litellm.ContextWindowExceededError, litellm.ContentPolicyViolationError), ) - _request_team_id: Optional[str] = ( - kwargs.get("metadata", {}) or {} - ).get("user_api_key_team_id") + _request_team_id: Optional[str] = (kwargs.get("metadata", {}) or {}).get( + "user_api_key_team_id" + ) all_deployments = self._get_all_deployments( model_name=original_model_group, team_id=_request_team_id ) @@ -6804,10 +6815,13 @@ class Router: Check if the deployment is an auto-router deployment (semantic router). Returns True if the litellm_params model starts with "auto_router/" - but NOT "auto_router/complexity_router" (which uses complexity routing). + but NOT "auto_router/complexity_router" or "auto_router/adaptive_router" + (which use the complexity-router and adaptive-router strategies). """ if litellm_params.model.startswith("auto_router/complexity_router"): return False # This is handled by complexity_router + if litellm_params.model.startswith("auto_router/adaptive_router"): + return False # This is handled by adaptive_router if litellm_params.model.startswith("auto_router/"): return True return False @@ -6914,6 +6928,121 @@ class Router: ) self.complexity_routers[deployment.model_name] = complexity_router + def _is_adaptive_router_deployment(self, litellm_params: LiteLLM_Params) -> bool: + """True when this deployment opts in via the `auto_router/adaptive_router` model prefix.""" + return litellm_params.model.startswith("auto_router/adaptive_router") + + def _finalize_adaptive_router_if_configured(self) -> None: + """Locate every adaptive-router deployment in the finalized model_list and + build an AdaptiveRouter for each. Safe no-op when none are configured. + Idempotent: skips any deployment whose model_name is already initialized.""" + for entry in self.model_list or []: + lp = ( + entry.get("litellm_params") + if isinstance(entry, dict) + else entry.litellm_params + ) + lp_model = ( + (lp.get("model") if isinstance(lp, dict) else lp.model) if lp else None + ) + if not (lp_model and lp_model.startswith("auto_router/adaptive_router")): + continue + model_name = ( + entry.get("model_name") if isinstance(entry, dict) else entry.model_name + ) + if not model_name or not lp: + continue + if model_name in self.adaptive_routers: + continue + deployment = Deployment( + model_name=model_name, + litellm_params=( + lp if not isinstance(lp, dict) else LiteLLM_Params(**lp) + ), + model_info=( + entry.get("model_info") + if isinstance(entry, dict) + else entry.model_info + ), + ) + self.init_adaptive_router_deployment(deployment=deployment) + + def init_adaptive_router_deployment(self, deployment: Deployment) -> None: + """ + Build an AdaptiveRouter instance for this deployment and register its + post-call hook. Multiple adaptive routers can coexist on a single Router, + keyed by `deployment.model_name`. + + `model_to_prefs` and `model_to_cost` are derived from the OTHER models + already registered in `self.model_list` whose `model_name` appears in + `available_models`. Models not yet registered fall back to defaults. + """ + # Local import: AdaptiveRouter -> hooks -> classifier all import litellm + # internals which transitively import this module. (AGENTS.md exception clause.) + from litellm.router_strategy.adaptive_router.adaptive_router import ( + AdaptiveRouter, + ) + from litellm.router_strategy.adaptive_router.hooks import ( + AdaptiveRouterPostCallHook, + ) + from litellm.types.router import ( + AdaptiveRouterConfig, + AdaptiveRouterPreferences, + ) + + raw_config = deployment.litellm_params.adaptive_router_config + if raw_config is None: + raise ValueError( + "adaptive_router_config is required for adaptive-router deployments." + ) + + config = AdaptiveRouterConfig(**raw_config) + + model_to_prefs: Dict[str, AdaptiveRouterPreferences] = {} + model_to_cost: Dict[str, float] = {} + for d in self.model_list or []: + name = d.get("model_name") if isinstance(d, dict) else d.model_name + if name not in config.available_models: + continue + mi = d.get("model_info") if isinstance(d, dict) else d.model_info + mi_dict: Dict[str, Any] = ( + mi if isinstance(mi, dict) else (mi.model_dump() if mi else {}) + ) + prefs_raw = mi_dict.get("adaptive_router_preferences") + if prefs_raw is not None: + model_to_prefs[name] = AdaptiveRouterPreferences(**prefs_raw) + + # `input_cost_per_token` is a LiteLLM_Params field per types/router.py. + lp = d.get("litellm_params") if isinstance(d, dict) else d.litellm_params + lp_dict: Dict[str, Any] = ( + lp if isinstance(lp, dict) else (lp.model_dump() if lp else {}) + ) + cost = lp_dict.get("input_cost_per_token") + if cost is not None: + model_to_cost[name] = float(cost) + + if deployment.model_name in self.adaptive_routers: + raise ValueError( + f"Adaptive-router deployment {deployment.model_name} already exists. " + "Please use a different model name." + ) + + adaptive_router = AdaptiveRouter( + router_name=deployment.model_name, + config=config, + model_to_prefs=model_to_prefs, + model_to_cost=model_to_cost, + ) + self.adaptive_routers[deployment.model_name] = adaptive_router + litellm.callbacks.append( + AdaptiveRouterPostCallHook(adaptive_router=adaptive_router) + ) + verbose_router_logger.info( + "AdaptiveRouter[%s] initialized with %d models", + deployment.model_name, + len(config.available_models), + ) + def deployment_is_active_for_environment(self, deployment: Deployment) -> bool: """ Function to check if a llm deployment is active for a given environment. Allows using the same config.yaml across multople environments @@ -7007,6 +7136,10 @@ class Router: # Note: model_name_to_deployment_indices is already built incrementally # by _create_deployment -> _add_model_to_list_and_index_map + # Deferred: build the AdaptiveRouter strategy now that all underlying + # deployments are visible in self.model_list. + self._finalize_adaptive_router_if_configured() + def _add_deployment(self, deployment: Deployment) -> Deployment: import os @@ -7134,6 +7267,11 @@ class Router: ): self.init_complexity_router_deployment(deployment=deployment) + # NOTE: adaptive-router deployments are deferred to the end of + # set_model_list() because their init needs visibility into the OTHER + # deployments listed in `available_models` (which may not yet have + # been processed when this one is created). + return deployment def _initialize_deployment_for_pass_through( @@ -9645,6 +9783,19 @@ class Router: specific_deployment=specific_deployment, ) + ######################################################### + # Check if an adaptive-router should be used + ######################################################### + adaptive_router = self.adaptive_routers.get(model) + if adaptive_router is not None: + return await adaptive_router.async_pre_routing_hook( + model=model, + request_kwargs=request_kwargs, + messages=messages, + input=input, + specific_deployment=specific_deployment, + ) + return None def get_available_deployment( diff --git a/litellm/router_strategy/adaptive_router/README.md b/litellm/router_strategy/adaptive_router/README.md new file mode 100644 index 00000000000..b2b8a520898 --- /dev/null +++ b/litellm/router_strategy/adaptive_router/README.md @@ -0,0 +1,93 @@ +# Adaptive Router (v0) + +A request-type-aware routing strategy. For each incoming request, classify the +prompt into one of seven `RequestType` buckets (code generation, writing, +analytical reasoning, …), then Thompson-sample a Beta(α, β) bandit posterior +per `(request_type, model)` cell to pick the best model. Quality estimates are +combined with a normalized cost score via a weighted linear sum. + +A post-call hook reads the response and runs lightweight regex + tool-call +detectors (see `signals.py`) to award per-turn credit/blame to the model that +served the turn. Updates are batched in-memory and flushed to Postgres every +~10s by a background task in `proxy_server.py`. + +## Config example + +```yaml +model_list: + - model_name: gpt-4o + litellm_params: + model: openai/gpt-4o + model_info: + input_cost_per_token: 0.0000025 + adaptive_router_preferences: + quality_tier: 3 + strengths: ["code_generation", "analytical_reasoning"] + + - model_name: gpt-4o-mini + litellm_params: + model: openai/gpt-4o-mini + model_info: + input_cost_per_token: 0.00000015 + adaptive_router_preferences: + quality_tier: 2 + strengths: ["general", "factual_lookup"] + + - model_name: smart-router + litellm_params: + model: adaptive_router/smart-router + adaptive_router_default_model: gpt-4o-mini + adaptive_router_config: + available_models: ["gpt-4o", "gpt-4o-mini"] + weights: + quality: 0.7 + cost: 0.3 +``` + +Callers may pass header `x-litellm-min-quality-tier: 3` (or metadata key +`min_quality_tier: 3`) to force selection from tier-3-or-higher models only. + +## Behavior summary + +- **Cold start.** Each `(request_type, model)` cell starts with a + Beta prior whose mean = `BASE_TIER_WEIGHT[tier] (+ STRENGTH_BONUS if declared)` + and total mass = `COLD_START_MASS` (10). About ten real observations move it + meaningfully. +- **Per-request decision.** Sample once per eligible model, score with + `quality_weight·sample + cost_weight·normalized_cost`, pick the argmax. + Routing is stateless per-turn — no sticky lookup. Each call resamples. +- **Owner-cache attribution.** Post-call, the conversation's first picked + model claims an "owner slot" for `OWNER_CACHE_TTL_SECONDS` (24h). Later + turns of the same conversation only fire bandit/state updates if the + same model handled them — mismatches are dropped (no attribution) and + counted in `skipped_updates_total`. Conversation identity is the + client-supplied `litellm_session_id` if present, otherwise a sha256 over + caller identity (api key hash, team, user, end-user) + the first message. +- **Per-turn updates.** `satisfaction → +α`. `misalignment, stagnation, + disengagement, failure → +β` (each). `loop → +0.5β`. `exhaustion → 0` + (uptime, not quality). Skipped if conversation has fewer than + `SIGNAL_GATE_MIN_MESSAGES` messages. +- **Persistence.** Bandit cells: aggregated deltas, eventually consistent. + Session rows: last-write-wins snapshots. + +## Known v0 limitations + +- **Latency is not in the score.** Quality + cost only. A pathologically slow + model can still be picked. +- **Hard sample cap at 200.** Once `α + β > 200`, deltas are silently dropped. + No rescaling — drift is a v1 concern. +- **24h owner-cache TTL.** No explicit eviction below TTL. The in-memory map + can grow if traffic patterns produce many one-shot sessions. +- **Owner-recovery skew.** If model A "owns" a conversation but is then + dethroned in the bandit, later turns served by model B are dropped — so + bandit updates for that conversation flatline until A's TTL expires. + Tracked via `skipped_updates_total`. +- **Signals are regex + tool-call only.** No LLM-judge, no embedding similarity, + no exemplar storage. Signals are best-effort and biased toward English. +- **One AdaptiveRouter per `Router`.** Multiple `adaptive_router/*` deployments + on the same `litellm.Router` raise at init. +- **Bandit-delta mapping is unvalidated.** `_compute_bandit_delta` is a v0 + guess; expect to retune after the first ~1000 sessions of real traffic. +- **`request_type` is classified per turn from the latest user message only.** + The first turn's classification doesn't carry forward; a multi-turn session + may shift bucket between turns. diff --git a/litellm/router_strategy/adaptive_router/__init__.py b/litellm/router_strategy/adaptive_router/__init__.py new file mode 100644 index 00000000000..d7f55ebced9 --- /dev/null +++ b/litellm/router_strategy/adaptive_router/__init__.py @@ -0,0 +1,6 @@ +"""Adaptive router strategy. See README.md for design overview.""" + +from litellm.router_strategy.adaptive_router.adaptive_router import AdaptiveRouter +from litellm.router_strategy.adaptive_router.hooks import AdaptiveRouterPostCallHook + +__all__ = ["AdaptiveRouter", "AdaptiveRouterPostCallHook"] diff --git a/litellm/router_strategy/adaptive_router/adaptive_router.py b/litellm/router_strategy/adaptive_router/adaptive_router.py new file mode 100644 index 00000000000..d73062ae96a --- /dev/null +++ b/litellm/router_strategy/adaptive_router/adaptive_router.py @@ -0,0 +1,344 @@ +""" +Main adaptive router strategy. See README.md for design overview. + +One AdaptiveRouter instance per router_name. Holds in-memory caches: +- _cells: Beta(alpha, beta) bandit posteriors per (request_type, model) +- _owner_cache: session_key -> (owner_model, expires_at) — the first model + picked for a conversation owns its bandit-update slot +- _session_states: (session_key, model) -> SessionState for incremental signal updates + +Owns the AdaptiveRouterUpdateQueue used by the proxy's flusher to persist +state and session snapshots back to Postgres. + +Routing is stateless per-turn (Thompson sample fresh on every call). The +owner cache is consulted only at post-call time to decide whether a turn's +signals should fire a bandit update — turns served by a different model than +the conversation's owner are skipped to avoid cross-model misattribution. +""" + +from __future__ import annotations + +import asyncio +import time +from dataclasses import asdict +from typing import Any, Dict, List, Optional, Tuple, Union, cast + +from litellm._logging import verbose_router_logger +from litellm.litellm_core_utils.prompt_templates.common_utils import ( + get_last_user_message, +) +from litellm.proxy.db.db_transaction_queue.adaptive_router_update_queue import ( + AdaptiveRouterUpdateQueue, +) +from litellm.router_strategy.adaptive_router.bandit import ( + BanditCell, + apply_delta, + initial_cell, + pick_best, +) +from litellm.router_strategy.adaptive_router.classifier import classify_prompt +from litellm.router_strategy.adaptive_router.config import ( + ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY, + OWNER_CACHE_TTL_SECONDS, +) +from litellm.router_strategy.adaptive_router.signals import ( + SessionState, + SignalDelta, + Turn, + apply_turn, +) +from litellm.types.llms.openai import AllMessageValues +from litellm.types.router import ( + AdaptiveRouterConfig, + AdaptiveRouterPreferences, + PreRoutingHookResponse, + RequestType, +) + + +def _default_prefs() -> AdaptiveRouterPreferences: + """Tier-2 prior with no declared strengths; used when a model omits prefs.""" + return AdaptiveRouterPreferences(quality_tier=2, strengths=[]) + + +class AdaptiveRouter: + """One instance per router_name. Holds in-memory caches + the update queue.""" + + def __init__( + self, + router_name: str, + config: AdaptiveRouterConfig, + model_to_prefs: Dict[str, AdaptiveRouterPreferences], + model_to_cost: Dict[str, float], + ) -> None: + self.router_name = router_name + self.config = config + self.model_to_prefs = model_to_prefs + self.model_to_cost = model_to_cost + self.queue = AdaptiveRouterUpdateQueue() + + self._cells: Dict[Tuple[RequestType, str], BanditCell] = {} + self._owner_cache: Dict[str, Tuple[str, float]] = {} + self._session_states: Dict[Tuple[str, str], SessionState] = {} + self._skipped_updates_total: int = 0 + self._lock = asyncio.Lock() + + self._init_cold_start_cells() + + # ---- Cold-start ------------------------------------------------------ + + def _init_cold_start_cells(self) -> None: + """Populate _cells with cold-start priors for every (rt, model) combination.""" + for rt in RequestType: + for model in self.config.available_models: + prefs = self.model_to_prefs.get(model) or _default_prefs() + self._cells[(rt, model)] = initial_cell(prefs, rt) + + async def load_state_from_db(self, prisma_client: Any) -> None: + """Override cold-start cells with persisted state. Called once at startup.""" + if prisma_client is None: + return + try: + rows = await prisma_client.db.litellm_adaptiverouterstate.find_many( + where={"router_name": self.router_name} + ) + loaded = 0 + for row in rows: + try: + rt = RequestType(row.request_type) + except ValueError: + # Unknown taxonomy entry from an older/newer version. Skip. + continue + if row.model_name not in self.config.available_models: + continue + self._cells[(rt, row.model_name)] = BanditCell( + alpha=row.alpha, beta=row.beta + ) + loaded += 1 + verbose_router_logger.info( + "AdaptiveRouter[%s]: loaded %d cells from DB", + self.router_name, + loaded, + ) + except Exception as e: + verbose_router_logger.exception( + "AdaptiveRouter[%s]: failed to load state from DB: %s", + self.router_name, + e, + ) + + # ---- Pre-routing hook ------------------------------------------------ + + async def async_pre_routing_hook( + self, + model: str, + request_kwargs: Dict[str, Any], + messages: Optional[List[Dict[str, Any]]] = None, + input: Optional[Union[str, List]] = None, + specific_deployment: Optional[bool] = False, + ) -> Optional[PreRoutingHookResponse]: + """ + Plugin entry point invoked by `Router.async_pre_routing_hook` when the + inbound `model` matches this adaptive router's `router_name`. + + Classifies the last user message, picks a logical model via the bandit, + and stashes the chosen model on `request_kwargs["metadata"]` so the + post-call hook can surface it as a response header. + + Routing is stateless per-turn: every call Thompson-samples fresh, + regardless of any prior pick for the same session. Cross-turn + attribution is enforced post-call via the owner cache (see + `claim_or_check_owner`). + """ + user_text = ( + get_last_user_message(cast(List[AllMessageValues], messages or [])) or "" + ) + + request_type = classify_prompt(user_text) + chosen_model = await self.pick_model(request_type=request_type) + verbose_router_logger.debug( + "AdaptiveRouter[%s]: classified=%s -> chose %s", + self.router_name, + request_type.value, + chosen_model, + ) + + # Relay the chosen logical model to the post-call hook, which surfaces + # it as the `x-litellm-adaptive-router-model` response header. We use + # `metadata` (not a top-level kwarg) so the value doesn't leak into + # `litellm.acompletion(**input_kwargs)`. + kwargs_metadata = request_kwargs.setdefault("metadata", {}) + if isinstance(kwargs_metadata, dict): + kwargs_metadata[ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY] = chosen_model + + return PreRoutingHookResponse(model=chosen_model, messages=messages) + + # ---- Pick model ------------------------------------------------------ + + async def pick_model( + self, + request_type: RequestType, + min_quality_tier: Optional[int] = None, + ) -> str: + """Thompson-sample across eligible models. Stateless per-turn.""" + eligible = self._eligible_models(min_quality_tier) + if not eligible: + raise ValueError( + f"AdaptiveRouter[{self.router_name}]: no models meet " + f"min_quality_tier={min_quality_tier}" + ) + + cells = {m: self._cells[(request_type, m)] for m in eligible} + costs = {m: self.model_to_cost.get(m, 0.0) for m in eligible} + return pick_best( + cells, + costs, + quality_weight=self.config.weights.quality, + cost_weight=self.config.weights.cost, + ) + + def claim_or_check_owner(self, session_key: str, current_model: str) -> bool: + """Resolve attribution for a turn under stateless routing. + + Returns True iff this turn should fire a bandit/state update. The + first call for a `session_key` claims ownership for `current_model` + and returns True. Subsequent calls return True only if the owner is + still live AND matches `current_model`. Mismatches (a different + model handled this turn) and expired owners both increment + `_skipped_updates_total` and return False — no attribution. + """ + now = time.time() + existing = self._owner_cache.get(session_key) + if existing is not None and existing[1] > now: + owner_model, _ = existing + if owner_model == current_model: + return True + self._skipped_updates_total += 1 + return False + + # No live owner -> claim for current_model. + self._owner_cache[session_key] = ( + current_model, + now + OWNER_CACHE_TTL_SECONDS, + ) + return True + + async def get_state_snapshot(self) -> Dict[str, Any]: + """In-memory snapshot for the introspection endpoint. Cheap; no DB hit.""" + cells = [] + for (rt, model), cell in sorted( + self._cells.items(), key=lambda kv: (kv[0][0].value, kv[0][1]) + ): + total = cell.alpha + cell.beta + cells.append( + { + "request_type": rt.value, + "model": model, + "alpha": cell.alpha, + "beta": cell.beta, + "samples": total, + "quality_mean": cell.alpha / total if total > 0 else 0.0, + } + ) + queue = await self.queue.queue_size() + now = time.time() + owner_cache_live = sum(1 for _, exp in self._owner_cache.values() if exp > now) + return { + "router_name": self.router_name, + "available_models": list(self.config.available_models), + "weights": { + "quality": self.config.weights.quality, + "cost": self.config.weights.cost, + }, + "model_costs": dict(self.model_to_cost), + "cells": cells, + "owner_cache_live": owner_cache_live, + "skipped_updates_total": self._skipped_updates_total, + "queue": queue, + } + + def _eligible_models(self, min_quality_tier: Optional[int]) -> List[str]: + if min_quality_tier is None: + return list(self.config.available_models) + return [ + m + for m in self.config.available_models + if (self.model_to_prefs.get(m) or _default_prefs()).quality_tier + >= min_quality_tier + ] + + # ---- Session state --------------------------------------------------- + + def get_or_create_session_state( + self, + session_id: str, + model_name: str, + request_type: RequestType, + ) -> SessionState: + key = (session_id, model_name) + state = self._session_states.get(key) + if state is None: + state = SessionState( + session_id=session_id, + router_name=self.router_name, + model_name=model_name, + classified_type=request_type.value, + ) + self._session_states[key] = state + return state + + async def record_turn( + self, + session_id: str, + model_name: str, + request_type: RequestType, + turn: Turn, + ) -> SignalDelta: + """Apply one turn, push session snapshot + bandit deltas to the queue.""" + state = self.get_or_create_session_state(session_id, model_name, request_type) + delta = apply_turn(state, turn) + print("CALLS DELTA", delta) + + snapshot = asdict(state) + await self.queue.add_session_state( + session_id, self.router_name, model_name, snapshot + ) + + d_alpha, d_beta = self._compute_bandit_delta(delta) + print("CALLS D_ALPHA", d_alpha) + if d_alpha != 0 or d_beta != 0: + cell_key = (request_type, model_name) + self._cells[cell_key] = apply_delta(self._cells[cell_key], d_alpha, d_beta) + await self.queue.add_state_delta( + self.router_name, + request_type.value, + model_name, + d_alpha, + d_beta, + ) + + return delta + + @staticmethod + def _compute_bandit_delta(delta: SignalDelta) -> Tuple[float, float]: + """ + Translate per-turn signal deltas into bandit-cell deltas. + + v0 mapping (UNVALIDATED — D6): + - satisfaction -> +1 alpha + - misalignment, stagnation, + disengagement, failure -> +1 beta each + - loop -> +0.5 beta (weak; could be model OR user) + - exhaustion -> 0 (uptime issue, tracked separately later) + """ + d_alpha = float(delta.satisfaction) + d_beta = ( + float( + delta.misalignment + + delta.stagnation + + delta.disengagement + + delta.failure + ) + + 0.5 * delta.loop + ) + return d_alpha, d_beta diff --git a/litellm/router_strategy/adaptive_router/bandit.py b/litellm/router_strategy/adaptive_router/bandit.py new file mode 100644 index 00000000000..cc473ac58e4 --- /dev/null +++ b/litellm/router_strategy/adaptive_router/bandit.py @@ -0,0 +1,136 @@ +""" +Thompson sampling and prior initialization for the adaptive router bandit. + +Each (router, request_type, model) cell is a Beta(alpha, beta) posterior. +- alpha = pseudo-successes +- beta = pseudo-failures +- mean = alpha / (alpha + beta) +- total samples = alpha + beta - COLD_START_MASS (informative prior, not data) + +Hot path: thompson_sample() — pure function, no I/O. +""" + +import random +from dataclasses import dataclass +from typing import Dict, List, Optional + +from litellm.router_strategy.adaptive_router.config import ( + BASE_TIER_WEIGHT, + COLD_START_MASS, + DEFAULT_COST_WEIGHT, + DEFAULT_QUALITY_WEIGHT, + SAMPLE_CAP, + STRENGTH_BONUS, +) +from litellm.types.router import AdaptiveRouterPreferences, RequestType + + +@dataclass(frozen=True) +class BanditCell: + """Posterior state for a single (router, request_type, model) cell.""" + + alpha: float + beta: float + + @property + def mean(self) -> float: + total = self.alpha + self.beta + return self.alpha / total if total > 0 else 0.5 + + @property + def total_samples(self) -> int: + return max(0, int(self.alpha + self.beta - COLD_START_MASS)) + + +def initial_cell( + prefs: AdaptiveRouterPreferences, request_type: RequestType +) -> BanditCell: + """ + Cold-start prior for a (model, request_type) cell. + + mean = base_tier_weight[tier] + (STRENGTH_BONUS if request_type in strengths else 0) + capped at 0.95 to avoid an over-confident prior. + Total mass = COLD_START_MASS so that ~10 real observations can move it noticeably. + """ + base = BASE_TIER_WEIGHT[prefs.quality_tier] + bonus = STRENGTH_BONUS if request_type in prefs.strengths else 0.0 + mean = min(0.95, base + bonus) + alpha = mean * COLD_START_MASS + beta = (1.0 - mean) * COLD_START_MASS + return BanditCell(alpha=alpha, beta=beta) + + +def apply_delta(cell: BanditCell, delta_alpha: float, delta_beta: float) -> BanditCell: + """ + Apply a learning update to a cell, enforcing the sample cap. + + SAMPLE_CAP is a HARD cap on (alpha + beta). When the cap would be exceeded, + we drop the update. (D5: hard cap, no rescaling — keep v0 simple.) + """ + new_alpha = cell.alpha + delta_alpha + new_beta = cell.beta + delta_beta + if new_alpha + new_beta > SAMPLE_CAP: + return cell + return BanditCell(alpha=new_alpha, beta=new_beta) + + +def thompson_sample(cell: BanditCell, rng: Optional[random.Random] = None) -> float: + """Draw a sample from Beta(alpha, beta). Returns a quality estimate in [0, 1].""" + r = rng if rng is not None else random + return r.betavariate(cell.alpha, cell.beta) + + +def normalized_cost(model_cost: float, all_costs: List[float]) -> float: + """ + Map a raw $/1k-token cost into [0, 1] where 0 = most expensive, 1 = cheapest. + Returns 0.5 when there's no spread. + """ + if not all_costs: + return 0.5 + lo, hi = min(all_costs), max(all_costs) + if hi == lo: + return 0.5 + return 1.0 - ((model_cost - lo) / (hi - lo)) + + +def score( + quality_sample: float, + model_cost: float, + all_costs: List[float], + quality_weight: float = DEFAULT_QUALITY_WEIGHT, + cost_weight: float = DEFAULT_COST_WEIGHT, +) -> float: + """ + Multi-objective score. V0 is a weighted linear sum of (quality, normalized_cost). + Higher is better. Both inputs are in [0, 1]. + """ + cost_score = normalized_cost(model_cost, all_costs) + return quality_weight * quality_sample + cost_weight * cost_score + + +def pick_best( + cells: Dict[str, BanditCell], + model_costs: Dict[str, float], + quality_weight: float = DEFAULT_QUALITY_WEIGHT, + cost_weight: float = DEFAULT_COST_WEIGHT, + rng: Optional[random.Random] = None, +) -> str: + """ + Sample once per model, score each, return the model with highest score. + + cells: {model_name: BanditCell} + model_costs: {model_name: $/1k tokens} + """ + if not cells: + raise ValueError("pick_best called with no models") + all_costs = list(model_costs.values()) + best_model: Optional[str] = None + best_score = float("-inf") + for model, cell in cells.items(): + q = thompson_sample(cell, rng=rng) + s = score(q, model_costs[model], all_costs, quality_weight, cost_weight) + if s > best_score: + best_score = s + best_model = model + assert best_model is not None + return best_model diff --git a/litellm/router_strategy/adaptive_router/classifier.py b/litellm/router_strategy/adaptive_router/classifier.py new file mode 100644 index 00000000000..0434dfdb63f --- /dev/null +++ b/litellm/router_strategy/adaptive_router/classifier.py @@ -0,0 +1,140 @@ +""" +Rule-based classifier mapping a user prompt to a RequestType. + +V0 design choice: deterministic regex over the FIRST user message in a session. +Result is cached per session (caller's responsibility, not ours). + +Order matters: we check more specific types first, falling back to GENERAL. +""" + +import re +from typing import List, Pattern, Tuple + +from litellm.types.router import RequestType + +_RULES: List[Tuple[Pattern[str], RequestType]] = [ + ( + re.compile( + r"\b(write|create|generate|implement|build)\s+(?:a |an |the |me )?(?:python|javascript|typescript|java|rust|go|c\+\+|sql|bash|shell)\b", + re.IGNORECASE, + ), + RequestType.CODE_GENERATION, + ), + ( + re.compile( + r"\b(write|create|implement|build)\b(?:\s+\w+){0,4}?\s+(function|class|method|script|program|api|endpoint|microservice)\b", + re.IGNORECASE, + ), + RequestType.CODE_GENERATION, + ), + ( + re.compile( + r"\b(explain|describe|understand|walk me through|what does)\b.*\b(code|function|method|class|algorithm|snippet)\b", + re.IGNORECASE, + ), + RequestType.CODE_UNDERSTANDING, + ), + ( + re.compile( + r"\b(debug|fix|why (?:is|does|isn't)|what.s wrong|trace)\b.*\b(error|bug|exception|stacktrace|stack trace|traceback)\b", + re.IGNORECASE, + ), + RequestType.CODE_UNDERSTANDING, + ), + ( + re.compile( + r"\b(review|critique)\s+(?:this |my |the )?(?:code|pr|pull request|diff|patch)\b", + re.IGNORECASE, + ), + RequestType.CODE_UNDERSTANDING, + ), + ( + re.compile( + r"\b(design|architect|plan|architecture)\b.*\b(system|service|api|database|schema|module|microservice)\b", + re.IGNORECASE, + ), + RequestType.TECHNICAL_DESIGN, + ), + ( + re.compile( + r"\b(should i (?:use|choose|pick)|tradeoffs? between|compare)\b.*\b(library|framework|language|database|protocol|postgres|postgresql|mongodb|dynamodb|mysql|redis|kafka|sql|nosql)\b", + re.IGNORECASE, + ), + RequestType.TECHNICAL_DESIGN, + ), + ( + re.compile( + r"\bhow (?:should|do) i (?:design|structure|organize|model)\b", + re.IGNORECASE, + ), + RequestType.TECHNICAL_DESIGN, + ), + ( + re.compile( + r"\b(solve|compute|calculate|prove|derive)\b.*\b(equation|integral|derivative|theorem|proof|problem)\b", + re.IGNORECASE, + ), + RequestType.ANALYTICAL_REASONING, + ), + ( + re.compile(r"\b(if .+ then|given .+ find|suppose|assume)\b", re.IGNORECASE), + RequestType.ANALYTICAL_REASONING, + ), + ( + re.compile( + r"\b(probability|statistics|combinatorics|optimization problem)\b", + re.IGNORECASE, + ), + RequestType.ANALYTICAL_REASONING, + ), + ( + re.compile( + r"\b(write|draft|compose|rewrite|edit|proofread|polish)\b.*\b(email|essay|blog|post|article|letter|memo|copy|paragraph|sentence)\b", + re.IGNORECASE, + ), + RequestType.WRITING, + ), + ( + re.compile( + r"\b(make (?:this|it)|help me)\s+(?:more |less )?(?:concise|formal|casual|professional|persuasive)\b", + re.IGNORECASE, + ), + RequestType.WRITING, + ), + ( + re.compile( + r"^\s*(who|what|when|where|which)\s+(?:is|was|were|are)\b", re.IGNORECASE + ), + RequestType.FACTUAL_LOOKUP, + ), + ( + re.compile(r"^\s*(define|definition of|meaning of)\b", re.IGNORECASE), + RequestType.FACTUAL_LOOKUP, + ), + ( + re.compile( + r"^\s*how (?:do you spell|to spell|many .* are there|tall is)\b", + re.IGNORECASE, + ), + RequestType.FACTUAL_LOOKUP, + ), +] + + +def classify_prompt(text: str) -> RequestType: + """ + Classify a single user prompt. + + Falls back to GENERAL when no rule matches. Empty/whitespace-only also + returns GENERAL. + """ + if not text or not text.strip(): + return RequestType.GENERAL + + truncated = text[:2000] + + for pattern, request_type in _RULES: + if pattern.search(truncated): + return request_type + + return RequestType.GENERAL diff --git a/litellm/router_strategy/adaptive_router/config.py b/litellm/router_strategy/adaptive_router/config.py new file mode 100644 index 00000000000..b49d7cdf6d2 --- /dev/null +++ b/litellm/router_strategy/adaptive_router/config.py @@ -0,0 +1,55 @@ +""" +Configuration constants for the adaptive_router strategy. + +All magic numbers are first-pass guesses (D3-D6 in the handoff plan). +Expect to retune after first 1000 sessions of real traffic. +""" + +from typing import Dict + +from litellm.types.router import RequestType # re-export for convenience # noqa: F401 + +# D3 — Score weights (default; user-overridable via AdaptiveRouterConfig.weights) +DEFAULT_QUALITY_WEIGHT: float = 0.7 # UNVALIDATED — calibrated against [0] sessions +DEFAULT_COST_WEIGHT: float = 0.3 # UNVALIDATED — calibrated against [0] sessions + +# D4 — Cold-start prior: (alpha + beta) total mass = COLD_START_MASS +# Mean of Beta = base_tier_weight + (strength_bonus if declared) +BASE_TIER_WEIGHT: Dict[int, float] = {1: 0.3, 2: 0.5, 3: 0.7} # UNVALIDATED +STRENGTH_BONUS: float = 0.3 # UNVALIDATED +COLD_START_MASS: float = 10.0 + +# D5 — Sample cap. Hard cap, no rescaling (drift handling is v1). +SAMPLE_CAP: int = 200 + +# D6 — Clean-trace credit: minimum turns before α += 1 can fire. +MIN_TURNS_FOR_CLEAN_CREDIT: int = 3 + +# D2 — Owner-cache TTL (seconds). 24h. +# A conversation's first-picked model "owns" the bandit-update slot for +# this long. Subsequent turns of the same conversation only contribute a +# bandit/state update when the same model is re-sampled. +OWNER_CACHE_TTL_SECONDS: int = 24 * 3600 + +# Below this many messages we skip post-call signal recording. Most signals +# (misalignment, stagnation, satisfaction-in-response-to-prior-turn) need at +# least one full prior exchange to be meaningful. +SIGNAL_GATE_MIN_MESSAGES: int = 4 + +# Detector thresholds (from Plano/Chen 2026 paper). +MISALIGNMENT_JACCARD_THRESHOLD: float = 0.45 +STAGNATION_JACCARD_NEAR_DUP: float = 0.50 +STAGNATION_JACCARD_EXACT: float = 0.85 +LOOP_REPEAT_THRESHOLD: int = 3 +TOOL_CALL_HISTORY_MAX: int = 20 + +# D1 — Caller filter for min quality tier. +MIN_QUALITY_TIER_HEADER: str = "x-litellm-min-quality-tier" +MIN_QUALITY_TIER_METADATA_KEY: str = "min_quality_tier" + +# Pre-routing -> post-call relay: the chosen logical model is stashed on +# request_kwargs["metadata"][ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY] by the +# pre-routing hook, then read by the post-call hook to surface as the +# ADAPTIVE_ROUTER_RESPONSE_HEADER response header. +ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY: str = "adaptive_router_chosen_model" +ADAPTIVE_ROUTER_RESPONSE_HEADER: str = "x-litellm-adaptive-router-model" diff --git a/litellm/router_strategy/adaptive_router/hooks.py b/litellm/router_strategy/adaptive_router/hooks.py new file mode 100644 index 00000000000..05932664eed --- /dev/null +++ b/litellm/router_strategy/adaptive_router/hooks.py @@ -0,0 +1,241 @@ +""" +Post-call hook for the adaptive router. + +On each successful or failed completion, build a Turn from the request/response +and push it through `AdaptiveRouter.record_turn`. The router then updates the +in-memory bandit cell + session state and queues writes for the proxy flusher. + +All work happens after the response has been returned to the caller. Any +exception is swallowed — signal recording must never break a request. +""" + +from __future__ import annotations + +import hashlib +import json +from typing import Any, Dict, List, Optional + +from litellm._logging import verbose_router_logger +from litellm.integrations.custom_logger import CustomLogger +from litellm.router_strategy.adaptive_router.adaptive_router import AdaptiveRouter +from litellm.router_strategy.adaptive_router.classifier import classify_prompt +from litellm.router_strategy.adaptive_router.config import ( + ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY, + ADAPTIVE_ROUTER_RESPONSE_HEADER, + SIGNAL_GATE_MIN_MESSAGES, +) +from litellm.router_strategy.adaptive_router.signals import Turn + +# Identity fields hashed into a derived session key so the same conversation +# from the same caller produces a stable key, while different keys/teams/users +# stay segregated even if they happen to send identical first messages. +_IDENTITY_FIELDS = ( + "user_api_key_hash", + "user_api_key_team_id", + "user_api_key_user_id", + "user_api_key_end_user_id", +) + + +def _resolve_session_key(kwargs: Dict[str, Any]) -> Optional[str]: + """Pick a stable per-conversation key for owner-cache attribution. + + Order: + 1. Honor a client-supplied session id (`litellm_session_id` on either + `litellm_params` or `litellm_params.metadata`, or `session_id` on + metadata) — backward compat for callers already wired up. + 2. Otherwise derive a sha256 over (identity fields, first message) so + the key is stable across turns of the same conversation. + + Returns None if there are no messages (nothing to attribute). + """ + litellm_params = kwargs.get("litellm_params") or {} + sid = litellm_params.get("litellm_session_id") + if sid: + return str(sid) + metadata = litellm_params.get("metadata") or {} + if isinstance(metadata, dict): + sid = metadata.get("session_id") or metadata.get("litellm_session_id") + if sid: + return str(sid) + + messages = kwargs.get("messages") or [] + if not messages: + return None + + identity = ":".join( + str(metadata.get(f) or "") if isinstance(metadata, dict) else "" + for f in _IDENTITY_FIELDS + ) + first = messages[0] + payload = ( + identity + + "|" + + json.dumps( + {"role": first.get("role"), "content": first.get("content")}, + sort_keys=True, + default=str, + ) + ) + return hashlib.sha256(payload.encode("utf-8")).hexdigest() + + +def _last_user_content(messages: Optional[List[Dict[str, Any]]]) -> Optional[str]: + if not messages: + return None + for msg in reversed(messages): + if msg.get("role") == "user": + content = msg.get("content") + if isinstance(content, str): + return content + if isinstance(content, list): + # OpenAI vision-style content: pick first text part. + for part in content: + if isinstance(part, dict) and part.get("type") == "text": + return part.get("text") + return None + return None + + +def _assistant_content_and_tool_calls(response_obj: Any) -> tuple: + """Return (assistant_text, tool_calls_list) extracted from a ModelResponse-ish object.""" + if response_obj is None: + return None, [] + try: + choices = getattr(response_obj, "choices", None) or response_obj.get("choices") + except Exception: + return None, [] + if not choices: + return None, [] + + msg = choices[0] + msg = getattr(msg, "message", None) or ( + msg.get("message") if isinstance(msg, dict) else None + ) + if msg is None: + return None, [] + + content = getattr(msg, "content", None) + if content is None and isinstance(msg, dict): + content = msg.get("content") + + raw_tool_calls = getattr(msg, "tool_calls", None) + if raw_tool_calls is None and isinstance(msg, dict): + raw_tool_calls = msg.get("tool_calls") + tool_calls: List[Dict[str, Any]] = [] + for tc in raw_tool_calls or []: + if isinstance(tc, dict): + tool_calls.append(tc) + else: + try: + tool_calls.append(tc.model_dump()) + except Exception: + tool_calls.append({"name": getattr(tc, "name", ""), "arguments": ""}) + return content, tool_calls + + +class AdaptiveRouterPostCallHook(CustomLogger): + """One hook instance per AdaptiveRouter. Registered into litellm.callbacks.""" + + def __init__(self, adaptive_router: AdaptiveRouter) -> None: + self.adaptive_router = adaptive_router + + async def async_post_call_success_hook( + self, + data: Dict[str, Any], + user_api_key_dict: Any, + response: Any, + ) -> None: + """ + Surface the chosen logical model picked by the pre-routing hook as the + `x-litellm-adaptive-router-model` response header. + + The chosen model is stashed on `data["metadata"]` by + `AdaptiveRouter.async_pre_routing_hook`. The proxy awaits this hook + before reading `_hidden_params["additional_headers"]` for the outgoing + HTTP response, so any value we write here flows through. + """ + metadata = data.get("metadata") or {} + chosen = ( + metadata.get(ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY) + if isinstance(metadata, dict) + else None + ) + if not chosen: + return + hidden_params = getattr(response, "_hidden_params", None) + if not isinstance(hidden_params, dict): + return + hidden_params.setdefault("additional_headers", {}) + hidden_params["additional_headers"][ADAPTIVE_ROUTER_RESPONSE_HEADER] = chosen + + async def async_log_success_event(self, kwargs, response_obj, start_time, end_time): + await self._record(kwargs, response_obj, response_status=200) + + async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time): + status = kwargs.get("response_status") + if status is None: + exc = kwargs.get("exception") + status = getattr(exc, "status_code", 500) if exc is not None else 500 + await self._record(kwargs, response_obj, response_status=int(status)) + + async def _record( + self, + kwargs: Dict[str, Any], + response_obj: Any, + response_status: int, + ) -> None: + try: + messages = kwargs.get("messages") or [] + if len(messages) < SIGNAL_GATE_MIN_MESSAGES: + # Too few turns for any signal to be meaningful — skip. + return + + session_key = _resolve_session_key(kwargs) + if not session_key: + return + + # The bandit cells are keyed by the *logical* model name from + # `available_models` (e.g. "smart"/"fast"). `kwargs["model"]` at + # post-call time is the physical upstream model + # (e.g. "anthropic/claude-opus-4-7"), so it cannot be used directly. + # The pre-routing hook stashes the logical pick under this key. + litellm_params = kwargs.get("litellm_params") or {} + metadata = litellm_params.get("metadata") or {} + current_model = ( + metadata.get(ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY) + if isinstance(metadata, dict) + else None + ) + if not current_model: + return + + if not self.adaptive_router.claim_or_check_owner( + session_key, current_model + ): + # A different model owns this conversation — skip attribution. + return + + user_text = _last_user_content(messages) + assistant_text, tool_calls = _assistant_content_and_tool_calls(response_obj) + + request_type = classify_prompt(user_text or "") + turn = Turn( + user_content=user_text, + assistant_content=( + assistant_text if isinstance(assistant_text, str) else None + ), + tool_calls=tool_calls, + tool_results=[], + response_status=response_status, + ) + await self.adaptive_router.record_turn( + session_id=session_key, + model_name=current_model, + request_type=request_type, + turn=turn, + ) + except Exception as e: + verbose_router_logger.exception( + "AdaptiveRouterPostCallHook: failed to record turn: %s", e + ) diff --git a/litellm/router_strategy/adaptive_router/signals.py b/litellm/router_strategy/adaptive_router/signals.py new file mode 100644 index 00000000000..bc67493bea6 --- /dev/null +++ b/litellm/router_strategy/adaptive_router/signals.py @@ -0,0 +1,272 @@ +""" +Incremental signal detection for the adaptive router. + +Each session maintains a SessionState. On every turn, we call apply_turn(state, turn) +which mutates the state in place and returns a SignalDelta listing which signals +fired on THIS turn. The router then queues the delta to be flushed to DB. + +Design constraint: O(1) work per turn. No re-scanning the full session history. +We keep small bounded windows: last_user_content, last_assistant_content, and a +bounded list of recent tool call signatures. +""" + +from __future__ import annotations + +import re +from dataclasses import dataclass, field +from typing import Any, Dict, List, Optional, Set + +from litellm.router_strategy.adaptive_router.config import ( + LOOP_REPEAT_THRESHOLD, + MISALIGNMENT_JACCARD_THRESHOLD, + STAGNATION_JACCARD_NEAR_DUP, + TOOL_CALL_HISTORY_MAX, +) + + +# ---- Public types --------------------------------------------------------- + + +@dataclass +class SignalDelta: + """Which signals fired on a single turn. Counts are 0 or 1 (one delta per turn).""" + + misalignment: int = 0 + stagnation: int = 0 + disengagement: int = 0 + satisfaction: int = 0 + failure: int = 0 + loop: int = 0 + exhaustion: int = 0 + + def any_fired(self) -> bool: + return any( + [ + self.misalignment, + self.stagnation, + self.disengagement, + self.satisfaction, + self.failure, + self.loop, + self.exhaustion, + ] + ) + + +@dataclass +class SessionState: + """In-memory rolling state for one session. + + Mirrors the LiteLLM_AdaptiveRouterSession DB row (Wave 0 schema). The flusher + later persists this. We keep this as a plain dataclass — no DB coupling. + """ + + session_id: str + router_name: str + model_name: str + classified_type: str + + misalignment_count: int = 0 + stagnation_count: int = 0 + disengagement_count: int = 0 + satisfaction_count: int = 0 + failure_count: int = 0 + loop_count: int = 0 + exhaustion_count: int = 0 + + last_user_content: Optional[str] = None + last_assistant_content: Optional[str] = None + tool_call_history: List[str] = field(default_factory=list) + pending_tool_calls: Dict[str, str] = field(default_factory=dict) + + turn_count: int = 0 + terminal_status: Optional[int] = None + + +@dataclass +class Turn: + """One turn of input. Caller assembles this from the request/response.""" + + user_content: Optional[str] = None + assistant_content: Optional[str] = None + tool_calls: List[Dict[str, Any]] = field(default_factory=list) + tool_results: List[Dict[str, Any]] = field(default_factory=list) + response_status: Optional[int] = None + + +# ---- Detection helpers ---------------------------------------------------- + +_TOKEN_RE = re.compile(r"[A-Za-z0-9]+") + + +def _tokens(text: Optional[str]) -> Set[str]: + if not text: + return set() + return {t.lower() for t in _TOKEN_RE.findall(text)} + + +def _jaccard(a: Set[str], b: Set[str]) -> float: + union = a | b + if not union: + return 0.0 + return len(a & b) / len(union) + + +_DISENGAGEMENT_PATTERNS = [ + re.compile( + r"\b(forget it|never mind|give up|talk to (?:a )?human|cancel)\b", re.IGNORECASE + ), + re.compile(r"\b(this (?:isn'?t|is not) working|stop|abort)\b", re.IGNORECASE), + re.compile(r"\bi'?ll do it (?:myself|manually)\b", re.IGNORECASE), +] + +_SATISFACTION_PATTERNS = [ + re.compile( + r"\b(that worked|that did it|works now|fixed it|solved it|nice)\b", + re.IGNORECASE, + ), + re.compile(r"\b(thanks|thank you|thx|appreciated|appreciate it)\b", re.IGNORECASE), + re.compile(r"\b(perfect|great|excellent|exactly)\b", re.IGNORECASE), +] + + +def _detect_misalignment(prev_user: Optional[str], curr_user: Optional[str]) -> bool: + """Fires when consecutive user messages share *some* topic (jaccard > 0) + but are sufficiently different (jaccard < threshold) — i.e. user is + rephrasing, not changing topic, not repeating.""" + if not prev_user or not curr_user: + return False + j = _jaccard(_tokens(prev_user), _tokens(curr_user)) + return 0.0 < j < MISALIGNMENT_JACCARD_THRESHOLD + + +def _detect_stagnation(prev_asst: Optional[str], curr_asst: Optional[str]) -> bool: + """Fires when consecutive assistant messages are near-duplicates.""" + if not prev_asst or not curr_asst: + return False + j = _jaccard(_tokens(prev_asst), _tokens(curr_asst)) + return j >= STAGNATION_JACCARD_NEAR_DUP + + +def _detect_disengagement(curr_user: Optional[str]) -> bool: + if not curr_user: + return False + return any(p.search(curr_user) for p in _DISENGAGEMENT_PATTERNS) + + +def _detect_satisfaction(curr_user: Optional[str]) -> bool: + if not curr_user: + return False + return any(p.search(curr_user) for p in _SATISFACTION_PATTERNS) + + +def _detect_failure(tool_results: List[Dict[str, Any]]) -> bool: + """Any tool result that's an error or empty content.""" + for r in tool_results: + if r.get("is_error"): + return True + content = r.get("content") + if content is None or content == "" or content == [] or content == {}: + return True + return False + + +def _signature(call: Dict[str, Any]) -> str: + """Stable signature for loop detection: name + sorted JSON-ish args.""" + name = call.get("name") or call.get("function", {}).get("name", "") + args = call.get("arguments") + if args is None: + args = call.get("function", {}).get("arguments", "") + if isinstance(args, dict): + args = ",".join(f"{k}={args[k]}" for k in sorted(args.keys())) + return f"{name}({args})" + + +def _detect_loop(history: List[str], new_calls: List[Dict[str, Any]]) -> bool: + """Fires if any new call's signature appears >= LOOP_REPEAT_THRESHOLD-1 times + in recent history (so this call would be the Nth).""" + if not new_calls: + return False + for call in new_calls: + sig = _signature(call) + recent_count = history.count(sig) + if recent_count >= LOOP_REPEAT_THRESHOLD - 1: + return True + return False + + +_EXHAUSTION_STATUSES = {408, 413, 429, 503, 504} + +_EXHAUSTION_KEYWORDS = ( + "context length", + "context window", + "token limit", + "rate limit", + "too many requests", + "timeout", +) + + +def _detect_exhaustion( + status: Optional[int], tool_results: List[Dict[str, Any]] +) -> bool: + if status is not None and status in _EXHAUSTION_STATUSES: + return True + for r in tool_results: + content = str(r.get("content", "")).lower() + if any(kw in content for kw in _EXHAUSTION_KEYWORDS): + return True + return False + + +# ---- Public entrypoint ---------------------------------------------------- + + +def apply_turn(state: SessionState, turn: Turn) -> SignalDelta: + """ + Detect signals on this turn, mutate state, return the delta. + + O(1) per turn (no full-history rescan). Only inspects last_*, recent tool history + (which is bounded at TOOL_CALL_HISTORY_MAX), and the new turn payload. + """ + delta = SignalDelta() + + if _detect_misalignment(state.last_user_content, turn.user_content): + delta.misalignment = 1 + if _detect_stagnation(state.last_assistant_content, turn.assistant_content): + delta.stagnation = 1 + if _detect_disengagement(turn.user_content): + delta.disengagement = 1 + if _detect_satisfaction(turn.user_content): + delta.satisfaction = 1 + if _detect_failure(turn.tool_results): + delta.failure = 1 + if _detect_loop(state.tool_call_history, turn.tool_calls): + delta.loop = 1 + if _detect_exhaustion(turn.response_status, turn.tool_results): + delta.exhaustion = 1 + + state.misalignment_count += delta.misalignment + state.stagnation_count += delta.stagnation + state.disengagement_count += delta.disengagement + state.satisfaction_count += delta.satisfaction + state.failure_count += delta.failure + state.loop_count += delta.loop + state.exhaustion_count += delta.exhaustion + + if turn.user_content: + state.last_user_content = turn.user_content + if turn.assistant_content: + state.last_assistant_content = turn.assistant_content + + for call in turn.tool_calls: + state.tool_call_history.append(_signature(call)) + if len(state.tool_call_history) > TOOL_CALL_HISTORY_MAX: + state.tool_call_history = state.tool_call_history[-TOOL_CALL_HISTORY_MAX:] + + if turn.response_status is not None: + state.terminal_status = turn.response_status + + state.turn_count += 1 + + return delta diff --git a/litellm/types/router.py b/litellm/types/router.py index 125e8ba46c4..6c4de6d1e59 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -8,7 +8,7 @@ from dataclasses import dataclass from typing import Any, Dict, List, Literal, Optional, Tuple, Union, get_type_hints import httpx -from pydantic import BaseModel, ConfigDict, Field, model_validator +from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator from typing_extensions import Required, TypedDict from litellm._uuid import uuid @@ -219,6 +219,10 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams): complexity_router_config: Optional[Dict] = None complexity_router_default_model: Optional[str] = None + # adaptive-router params + adaptive_router_default_model: Optional[str] = None + adaptive_router_config: Optional[Dict] = None + # Batch/File API Params s3_bucket_name: Optional[str] = None s3_encryption_key_id: Optional[str] = None @@ -788,3 +792,44 @@ class PreRoutingHookResponse(BaseModel): model: str messages: Optional[List[Dict[str, Any]]] + + +class RequestType(str, enum.Enum): + """Fixed v0 taxonomy. User-extensible types come in v1.""" + + CODE_GENERATION = "code_generation" + CODE_UNDERSTANDING = "code_understanding" + TECHNICAL_DESIGN = "technical_design" + ANALYTICAL_REASONING = "analytical_reasoning" + WRITING = "writing" + FACTUAL_LOOKUP = "factual_lookup" + GENERAL = "general" + + +class AdaptiveRouterWeights(BaseModel): + quality: float = Field(default=0.7, ge=0.0, le=1.0) + cost: float = Field(default=0.3, ge=0.0, le=1.0) + + @field_validator("cost") + @classmethod + def _weights_sum_to_one(cls, v, info): + q = info.data.get("quality", 0.7) + if abs(q + v - 1.0) > 0.001: + raise ValueError( + f"weights must sum to 1.0, got quality={q} + cost={v} = {q + v}" + ) + return v + + +class AdaptiveRouterConfig(BaseModel): + available_models: List[str] + weights: AdaptiveRouterWeights = Field(default_factory=AdaptiveRouterWeights) + + +class AdaptiveRouterPreferences(BaseModel): + """model_info.adaptive_router_preferences — declared by each model.""" + + model_config = ConfigDict(use_enum_values=False) + + quality_tier: int = Field(ge=1, le=3) + strengths: List[RequestType] = Field(default_factory=list) diff --git a/schema.prisma b/schema.prisma index ce3f5f131f7..4e448b22a1c 100644 --- a/schema.prisma +++ b/schema.prisma @@ -1219,3 +1219,46 @@ model LiteLLM_ClaudeCodePluginTable { @@map("LiteLLM_ClaudeCodePluginTable") } + +// Per-(router, request_type, model) Beta posterior for the adaptive router. +model LiteLLM_AdaptiveRouterState { + router_name String + request_type String + model_name String + alpha Float + beta Float + total_samples Int @default(0) + last_updated_at DateTime @default(now()) + + @@id([router_name, request_type, model_name]) +} + +// Per-(session, router, model) signal counters for the adaptive router. +model LiteLLM_AdaptiveRouterSession { + session_id String + router_name String + model_name String + classified_type String + + misalignment_count Int @default(0) + stagnation_count Int @default(0) + disengagement_count Int @default(0) + satisfaction_count Int @default(0) + failure_count Int @default(0) + loop_count Int @default(0) + exhaustion_count Int @default(0) + + last_user_content String? + last_assistant_content String? + tool_call_history Json @default("[]") + pending_tool_calls Json @default("{}") + + turn_count Int @default(0) + last_processed_turn Int @default(-1) + clean_credit_awarded Boolean @default(false) + terminal_status Int? + last_activity_at DateTime @default(now()) + + @@id([session_id, router_name, model_name]) + @@index([last_activity_at]) +} diff --git a/scripts/verify_adaptive_router.py b/scripts/verify_adaptive_router.py new file mode 100644 index 00000000000..fde9dc51a15 --- /dev/null +++ b/scripts/verify_adaptive_router.py @@ -0,0 +1,216 @@ +""" +End-to-end verification script for the adaptive router. + +Requires: + - LiteLLM proxy running on http://localhost:4000 with adaptive_router configured + (see litellm/proxy/example_config_yaml/adaptive_router_example.yaml). + - Postgres reachable via DATABASE_URL (same one the proxy uses). + - LITELLM_PROXY_KEY env var set (a valid key with permission to send requests). + - Two model deployments configured under one adaptive_router: + * "fast" (cheap, lower quality) + * "smart" (expensive, higher quality) + +Run: + uv run python scripts/verify_adaptive_router.py + +Optional env: + LITELLM_PROXY_URL (default: http://localhost:4000) + ADAPTIVE_ROUTER_NAME (default: smart-cheap-router) + EXPECTED_WINNER (default: smart) -- model expected to dominate after training + TRAIN_SESSIONS (default: 20) -- training sessions in phase 1 + CONVERGE_SESSIONS (default: 10) -- cold sessions in phase 2 + WIN_THRESHOLD (default: 0.7) -- min share for EXPECTED_WINNER in phase 2 +""" + +from __future__ import annotations + +import asyncio +import os +import sys +import time +import uuid +from typing import List, Optional + +import httpx + +PROXY_URL: str = os.environ.get("LITELLM_PROXY_URL", "http://localhost:4000") +try: + PROXY_KEY: str = os.environ["LITELLM_PROXY_KEY"] +except KeyError: + print( + "ERROR: LITELLM_PROXY_KEY env var must be set (a proxy key with /chat/completions perms).", + file=sys.stderr, + ) + sys.exit(2) + +ROUTER_NAME: str = os.environ.get("ADAPTIVE_ROUTER_NAME", "smart-cheap-router") +EXPECTED_WINNER: str = os.environ.get("EXPECTED_WINNER", "smart") +TRAIN_SESSIONS: int = int(os.environ.get("TRAIN_SESSIONS", "20")) +CONVERGE_SESSIONS: int = int(os.environ.get("CONVERGE_SESSIONS", "10")) +WIN_THRESHOLD: float = float(os.environ.get("WIN_THRESHOLD", "0.7")) + +REQUEST_TIMEOUT_SECONDS: float = 30.0 +RETRY_ATTEMPTS: int = 3 +RETRY_BACKOFF_SECONDS: float = 1.0 +FLUSHER_DRAIN_WAIT_SECONDS: float = 30.0 # proxy flusher loop is 10s; pad with margin + +PROMPTS: List[str] = [ + "Write a Python function that reverses a binary tree", + "Explain the time complexity of quicksort", + "Design an API for a chat application", +] +SATISFACTION_PROMPT: str = "thanks, that worked!" + + +async def _post_chat( + client: httpx.AsyncClient, session_id: str, prompt: str +) -> Optional[dict]: + """POST a chat completion with retry + timeout. Returns response JSON or None.""" + body = { + "model": ROUTER_NAME, + "messages": [{"role": "user", "content": prompt}], + "metadata": {"litellm_session_id": session_id}, + } + last_exc: Optional[Exception] = None + for attempt in range(1, RETRY_ATTEMPTS + 1): + try: + r = await client.post( + f"{PROXY_URL}/v1/chat/completions", + json=body, + headers={"Authorization": f"Bearer {PROXY_KEY}"}, + timeout=REQUEST_TIMEOUT_SECONDS, + ) + r.raise_for_status() + return r.json() + except Exception as e: # noqa: BLE001 + last_exc = e + if attempt < RETRY_ATTEMPTS: + await asyncio.sleep(RETRY_BACKOFF_SECONDS * attempt) + print( + f" request failed after {RETRY_ATTEMPTS} attempts (session={session_id}): {last_exc}", + file=sys.stderr, + ) + return None + + +async def send_session( + client: httpx.AsyncClient, + session_id: str, + prompts: List[str], + satisfy: bool = True, +) -> Optional[str]: + """Send a session of N turns. Returns the model that handled the last turn.""" + last_model: Optional[str] = None + for prompt in prompts: + resp = await _post_chat(client, session_id, prompt) + if resp is None: + return None + last_model = resp.get("model") or last_model + if satisfy: + await _post_chat(client, session_id, SATISFACTION_PROMPT) + return last_model + + +async def _proxy_health_check(client: httpx.AsyncClient) -> bool: + """Confirm the proxy is reachable before doing anything else.""" + try: + r = await client.get(f"{PROXY_URL}/health/liveliness", timeout=5.0) + return r.status_code == 200 + except Exception as e: # noqa: BLE001 + print(f"proxy unreachable at {PROXY_URL}: {e}", file=sys.stderr) + return False + + +async def main() -> None: + print("=== verify_adaptive_router.py ===") + print(f"proxy: {PROXY_URL}") + print(f"router: {ROUTER_NAME}") + print(f"expected winner: {EXPECTED_WINNER}") + print(f"train sessions: {TRAIN_SESSIONS}") + print(f"converge runs: {CONVERGE_SESSIONS}\n") + + async with httpx.AsyncClient() as client: + if not await _proxy_health_check(client): + print("FAIL: proxy health check did not return 200.", file=sys.stderr) + sys.exit(1) + + # ---- Phase 1: training ------------------------------------------- + print( + f"Phase 1: training ({TRAIN_SESSIONS} sessions of 3 turns + satisfaction)..." + ) + for i in range(TRAIN_SESSIONS): + sid = f"verify-train-{uuid.uuid4()}" + await send_session(client, sid, PROMPTS, satisfy=True) + if (i + 1) % 5 == 0: + print(f" trained {i + 1}/{TRAIN_SESSIONS} sessions") + + print( + f"\nWaiting {FLUSHER_DRAIN_WAIT_SECONDS:.0f}s for flusher to drain queue..." + ) + await asyncio.sleep(FLUSHER_DRAIN_WAIT_SECONDS) + + # ---- Phase 2: convergence ---------------------------------------- + print(f"\nPhase 2: convergence test ({CONVERGE_SESSIONS} cold sessions)...") + picks: List[str] = [] + for i in range(CONVERGE_SESSIONS): + sid = f"verify-test-{uuid.uuid4()}" + m = await send_session(client, sid, [PROMPTS[0]], satisfy=False) + if m: + picks.append(m) + print(f" session {i + 1}: picked {m}") + + if not picks: + print("\nFAIL: no successful picks in convergence phase.", file=sys.stderr) + sys.exit(1) + winner_share = picks.count(EXPECTED_WINNER) / len(picks) + print( + f"\n{EXPECTED_WINNER} share: {winner_share:.0%} " + f"({picks.count(EXPECTED_WINNER)}/{len(picks)})" + ) + + # ---- Phase 3: sticky session ------------------------------------- + print("\nPhase 3: sticky session test...") + sid = f"verify-sticky-{uuid.uuid4()}" + models: List[str] = [] + for _ in range(3): + m = await send_session(client, sid, [PROMPTS[0]], satisfy=False) + if m: + models.append(m) + if len(models) == 3 and len(set(models)) == 1: + print(f" PASS: same model {models[0]} across 3 turns of session {sid}") + else: + print( + f" FAIL: models differed within session: {models}", + file=sys.stderr, + ) + sys.exit(1) + + # ---- Phase 4: latency benchmark ---------------------------------- + print("\nPhase 4: routing latency (5 picks, p50)...") + latencies: List[float] = [] + for _ in range(5): + t0 = time.perf_counter() + await send_session( + client, f"verify-lat-{uuid.uuid4()}", [PROMPTS[0]], satisfy=False + ) + latencies.append(time.perf_counter() - t0) + latencies.sort() + p50 = latencies[len(latencies) // 2] + print(f" p50 e2e roundtrip: {p50 * 1000:.0f}ms") + + # ---- Verdict ----------------------------------------------------- + if winner_share >= WIN_THRESHOLD: + print( + f"\nPASS: convergence ({winner_share:.0%} >= {WIN_THRESHOLD:.0%}) + " + f"sticky + latency checks all green." + ) + sys.exit(0) + print( + f"\nFAIL: convergence too weak ({winner_share:.0%} < {WIN_THRESHOLD:.0%}).", + file=sys.stderr, + ) + sys.exit(1) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/tests/test_litellm/proxy/db/db_transaction_queue/test_adaptive_router_update_queue.py b/tests/test_litellm/proxy/db/db_transaction_queue/test_adaptive_router_update_queue.py new file mode 100644 index 00000000000..6ac8e84337e --- /dev/null +++ b/tests/test_litellm/proxy/db/db_transaction_queue/test_adaptive_router_update_queue.py @@ -0,0 +1,117 @@ +import asyncio +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from litellm.proxy.db.db_transaction_queue.adaptive_router_update_queue import ( + AdaptiveRouterUpdateQueue, +) + + +@pytest.fixture +def queue(): + return AdaptiveRouterUpdateQueue() + + +@pytest.fixture +def mock_prisma(): + """Prisma client with both adaptive router models stubbed as AsyncMocks.""" + p = MagicMock() + p.db.litellm_adaptiverouterstate.find_unique = AsyncMock(return_value=None) + p.db.litellm_adaptiverouterstate.upsert = AsyncMock() + p.db.litellm_adaptiveroutersession.upsert = AsyncMock() + return p + + +@pytest.mark.asyncio +async def test_add_state_delta_aggregates_same_key(queue): + await queue.add_state_delta("r1", "general", "gpt-4", 1.0, 0.0) + await queue.add_state_delta("r1", "general", "gpt-4", 0.0, 1.0) + sizes = await queue.queue_size() + assert sizes["state_pending"] == 1 + + +@pytest.mark.asyncio +async def test_add_state_delta_separate_keys(queue): + await queue.add_state_delta("r1", "general", "gpt-4", 1.0, 0.0) + await queue.add_state_delta("r1", "writing", "gpt-4", 1.0, 0.0) + sizes = await queue.queue_size() + assert sizes["state_pending"] == 2 + + +@pytest.mark.asyncio +async def test_add_session_state_last_write_wins(queue): + await queue.add_session_state("s1", "r1", "gpt-4", {"misalignment_count": 1}) + await queue.add_session_state("s1", "r1", "gpt-4", {"misalignment_count": 5}) + sizes = await queue.queue_size() + assert sizes["session_pending"] == 1 + + flushed = [] + p = MagicMock() + + async def upsert(**kwargs): + flushed.append(kwargs) + + p.db.litellm_adaptiveroutersession.upsert = upsert + await queue.flush_session_to_db(p) + assert len(flushed) == 1 + assert flushed[0]["data"]["update"]["misalignment_count"] == 5 + + +@pytest.mark.asyncio +async def test_flush_state_drains_aggregator(queue, mock_prisma): + await queue.add_state_delta("r1", "general", "gpt-4", 1.0, 0.0) + await queue.add_state_delta("r1", "writing", "gpt-4", 0.0, 1.0) + n = await queue.flush_state_to_db(mock_prisma) + assert n == 2 + sizes = await queue.queue_size() + assert sizes["state_pending"] == 0 + + +@pytest.mark.asyncio +async def test_flush_state_sums_correctly(queue, mock_prisma): + await queue.add_state_delta("r1", "general", "gpt-4", 1.0, 0.0) + await queue.add_state_delta("r1", "general", "gpt-4", 2.0, 1.0) + await queue.flush_state_to_db(mock_prisma) + # find_unique returned None (cold start), so alpha = 1+2 = 3, beta = 0+1 = 1 + call = mock_prisma.db.litellm_adaptiverouterstate.upsert.call_args + assert call.kwargs["data"]["create"]["alpha"] == 3.0 + assert call.kwargs["data"]["create"]["beta"] == 1.0 + assert call.kwargs["data"]["create"]["total_samples"] == 2 + + +@pytest.mark.asyncio +async def test_flush_session_drains_aggregator(queue, mock_prisma): + await queue.add_session_state("s1", "r1", "gpt-4", {"classified_type": "general"}) + n = await queue.flush_session_to_db(mock_prisma) + assert n == 1 + sizes = await queue.queue_size() + assert sizes["session_pending"] == 0 + + +@pytest.mark.asyncio +async def test_flush_empty_queue_returns_zero(queue, mock_prisma): + assert await queue.flush_state_to_db(mock_prisma) == 0 + assert await queue.flush_session_to_db(mock_prisma) == 0 + + +@pytest.mark.asyncio +async def test_flush_state_isolation_from_concurrent_adds(queue, mock_prisma): + """Adds during a flush should land in the NEW aggregator, not the drained batch.""" + await queue.add_state_delta("r1", "general", "gpt-4", 1.0, 0.0) + flush_task = asyncio.create_task(queue.flush_state_to_db(mock_prisma)) + # Yield control so the flush task can swap the aggregator before we add again. + await asyncio.sleep(0) + await queue.add_state_delta("r1", "general", "gpt-5", 2.0, 0.0) + await flush_task + sizes = await queue.queue_size() + assert sizes["state_pending"] == 1 + + +@pytest.mark.asyncio +async def test_max_size_observability(queue): + await queue.add_state_delta("r1", "general", "gpt-4", 1.0, 0.0) + await queue.add_state_delta("r1", "writing", "gpt-4", 1.0, 0.0) + await queue.add_state_delta("r1", "code_generation", "gpt-4", 1.0, 0.0) + sizes = await queue.queue_size() + assert sizes["max_state_seen"] >= 3 diff --git a/tests/test_litellm/router_strategy/adaptive_router/__init__.py b/tests/test_litellm/router_strategy/adaptive_router/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/clean_no_signals.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/clean_no_signals.json new file mode 100644 index 00000000000..e53cc50b4b1 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/clean_no_signals.json @@ -0,0 +1,16 @@ +[ + { + "user_content": "what is the weather today in paris france", + "assistant_content": "It is sunny and warm in Paris today.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + }, + { + "user_content": "what is the weather today in paris france tomorrow", + "assistant_content": "Light rain is expected throughout the day.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/clean_satisfaction.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/clean_satisfaction.json new file mode 100644 index 00000000000..6f9e81c9b0a --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/clean_satisfaction.json @@ -0,0 +1,23 @@ +[ + { + "user_content": "how do I read a file in python", + "assistant_content": "Use the open() function with a context manager.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + }, + { + "user_content": "can you show an example", + "assistant_content": "with open('file.txt') as f: data = f.read()", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + }, + { + "user_content": "thanks, that worked!", + "assistant_content": "Glad to hear it.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/disengagement_giveup.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/disengagement_giveup.json new file mode 100644 index 00000000000..d17a1cfe3c3 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/disengagement_giveup.json @@ -0,0 +1,16 @@ +[ + { + "user_content": "how do I install this package", + "assistant_content": "Run pip install .", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + }, + { + "user_content": "forget it, I'll do it myself", + "assistant_content": "Okay, let me know if you need anything else.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/exhaustion_429.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/exhaustion_429.json new file mode 100644 index 00000000000..064bf21e1a9 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/exhaustion_429.json @@ -0,0 +1,9 @@ +[ + { + "user_content": "do the thing", + "assistant_content": null, + "tool_calls": [], + "tool_results": [], + "response_status": 429 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/exhaustion_context_overflow.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/exhaustion_context_overflow.json new file mode 100644 index 00000000000..e3e55ac5e73 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/exhaustion_context_overflow.json @@ -0,0 +1,13 @@ +[ + { + "user_content": "summarize this giant document", + "assistant_content": null, + "tool_calls": [ + {"id": "c1", "name": "summarize", "arguments": {"doc_id": "big"}} + ], + "tool_results": [ + {"tool_call_id": "c1", "content": "Error: context length exceeded for this model"} + ], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/failure_tool_error.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/failure_tool_error.json new file mode 100644 index 00000000000..28c55850f88 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/failure_tool_error.json @@ -0,0 +1,13 @@ +[ + { + "user_content": "read the config file", + "assistant_content": "Let me try.", + "tool_calls": [ + {"id": "call_1", "name": "read_file", "arguments": {"path": "/etc/missing.conf"}} + ], + "tool_results": [ + {"tool_call_id": "call_1", "content": "ENOENT: no such file or directory", "is_error": true} + ], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/loop_same_tool.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/loop_same_tool.json new file mode 100644 index 00000000000..705f6a5a088 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/loop_same_tool.json @@ -0,0 +1,35 @@ +[ + { + "user_content": null, + "assistant_content": null, + "tool_calls": [ + {"id": "c1", "name": "read_file", "arguments": {"path": "/x"}} + ], + "tool_results": [ + {"tool_call_id": "c1", "content": "ok"} + ], + "response_status": 200 + }, + { + "user_content": null, + "assistant_content": null, + "tool_calls": [ + {"id": "c2", "name": "read_file", "arguments": {"path": "/x"}} + ], + "tool_results": [ + {"tool_call_id": "c2", "content": "ok"} + ], + "response_status": 200 + }, + { + "user_content": null, + "assistant_content": null, + "tool_calls": [ + {"id": "c3", "name": "read_file", "arguments": {"path": "/x"}} + ], + "tool_results": [ + {"tool_call_id": "c3", "content": "ok"} + ], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/misalignment_rephrase.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/misalignment_rephrase.json new file mode 100644 index 00000000000..37d0992155d --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/misalignment_rephrase.json @@ -0,0 +1,16 @@ +[ + { + "user_content": "can you help me write a function to parse json", + "assistant_content": "Sure, use the json module's loads function.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + }, + { + "user_content": "actually I need to parse yaml instead", + "assistant_content": "Use the pyyaml library and yaml.safe_load.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/mixed_failure_then_satisfaction.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/mixed_failure_then_satisfaction.json new file mode 100644 index 00000000000..6d68dd6fd04 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/mixed_failure_then_satisfaction.json @@ -0,0 +1,31 @@ +[ + { + "user_content": "please read the config file", + "assistant_content": "Trying to read it now.", + "tool_calls": [ + {"id": "c1", "name": "read_file", "arguments": {"path": "config.json"}} + ], + "tool_results": [ + {"tool_call_id": "c1", "content": "file not found", "is_error": true} + ], + "response_status": 200 + }, + { + "user_content": "try config.yaml instead", + "assistant_content": "Here are the contents of config.yaml.", + "tool_calls": [ + {"id": "c2", "name": "read_file", "arguments": {"path": "config.yaml"}} + ], + "tool_results": [ + {"tool_call_id": "c2", "content": "key: value"} + ], + "response_status": 200 + }, + { + "user_content": "perfect, thanks!", + "assistant_content": "You're welcome.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/fixtures/stagnation_repeat.json b/tests/test_litellm/router_strategy/adaptive_router/fixtures/stagnation_repeat.json new file mode 100644 index 00000000000..1256c3c1972 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/fixtures/stagnation_repeat.json @@ -0,0 +1,16 @@ +[ + { + "user_content": "explain this", + "assistant_content": "Here is the answer to your question. The capital of France is Paris.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + }, + { + "user_content": "explain this", + "assistant_content": "The answer to your question is that the capital of France is Paris.", + "tool_calls": [], + "tool_results": [], + "response_status": 200 + } +] diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py b/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py new file mode 100644 index 00000000000..49069e22fd1 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py @@ -0,0 +1,224 @@ +"""Unit tests for the AdaptiveRouter strategy class.""" + +from unittest.mock import AsyncMock, MagicMock + +from litellm.router_strategy.adaptive_router import adaptive_router as ar_module + +import pytest + +from litellm.router_strategy.adaptive_router.adaptive_router import AdaptiveRouter +from litellm.router_strategy.adaptive_router.config import ( + OWNER_CACHE_TTL_SECONDS, +) +from litellm.router_strategy.adaptive_router.signals import Turn +from litellm.types.router import ( + AdaptiveRouterConfig, + AdaptiveRouterPreferences, + RequestType, +) + + +def _make_router() -> AdaptiveRouter: + cfg = AdaptiveRouterConfig(available_models=["fast", "smart"]) + prefs = { + "fast": AdaptiveRouterPreferences(quality_tier=1, strengths=[]), + "smart": AdaptiveRouterPreferences( + quality_tier=3, strengths=[RequestType.CODE_GENERATION] + ), + } + costs = {"fast": 0.0001, "smart": 0.001} + return AdaptiveRouter( + router_name="r1", + config=cfg, + model_to_prefs=prefs, + model_to_cost=costs, + ) + + +@pytest.mark.asyncio +async def test_pick_model_returns_model_from_available_list(): + r = _make_router() + chosen = await r.pick_model(RequestType.GENERAL) + assert chosen in {"fast", "smart"} + + +@pytest.mark.asyncio +async def test_pick_model_min_quality_tier_filter(): + r = _make_router() + # min_tier=3 should leave only `smart` (tier 3); `fast` (tier 1) is filtered. + for _ in range(20): + chosen = await r.pick_model(RequestType.GENERAL, min_quality_tier=3) + assert chosen == "smart" + + +@pytest.mark.asyncio +async def test_pick_model_min_quality_tier_filter_raises_when_no_eligible(): + r = _make_router() + with pytest.raises(ValueError, match="min_quality_tier=4"): + await r.pick_model(RequestType.GENERAL, min_quality_tier=4) + + +@pytest.mark.asyncio +async def test_pick_model_is_stateless_no_owner_cache_writes(): + """pick_model must not touch the owner cache — that's gated post-call.""" + r = _make_router() + for _ in range(5): + await r.pick_model(RequestType.GENERAL) + assert r._owner_cache == {} + + +# ---- claim_or_check_owner ----------------------------------------------- + + +def test_claim_or_check_owner_first_call_claims_and_returns_true(monkeypatch): + r = _make_router() + monkeypatch.setattr(ar_module.time, "time", lambda: 1_000.0) + + assert r.claim_or_check_owner("sess-A", "fast") is True + assert r._owner_cache["sess-A"] == ("fast", 1_000.0 + OWNER_CACHE_TTL_SECONDS) + assert r._skipped_updates_total == 0 + + +def test_claim_or_check_owner_same_model_returns_true_without_extending_ttl( + monkeypatch, +): + r = _make_router() + monkeypatch.setattr(ar_module.time, "time", lambda: 1_000.0) + r.claim_or_check_owner("sess-A", "fast") + original_expiry = r._owner_cache["sess-A"][1] + + monkeypatch.setattr(ar_module.time, "time", lambda: 1_500.0) + assert r.claim_or_check_owner("sess-A", "fast") is True + # No extension on hit — owner cache snapshots the first claim. + assert r._owner_cache["sess-A"][1] == original_expiry + + +def test_claim_or_check_owner_mismatch_skips_and_increments_counter(monkeypatch): + r = _make_router() + monkeypatch.setattr(ar_module.time, "time", lambda: 1_000.0) + r.claim_or_check_owner("sess-A", "fast") + + assert r.claim_or_check_owner("sess-A", "smart") is False + assert r._skipped_updates_total == 1 + # Owner unchanged. + assert r._owner_cache["sess-A"][0] == "fast" + + +def test_claim_or_check_owner_expired_owner_reclaims_for_new_model(monkeypatch): + r = _make_router() + monkeypatch.setattr(ar_module.time, "time", lambda: 1_000.0) + r.claim_or_check_owner("sess-A", "fast") + + monkeypatch.setattr( + ar_module.time, "time", lambda: 1_000.0 + OWNER_CACHE_TTL_SECONDS + 1 + ) + assert r.claim_or_check_owner("sess-A", "smart") is True + assert r._owner_cache["sess-A"][0] == "smart" + # Reclaim isn't a skip. + assert r._skipped_updates_total == 0 + + +# ---- record_turn -------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_record_turn_pushes_to_queue(): + r = _make_router() + r.queue.add_session_state = AsyncMock() + r.queue.add_state_delta = AsyncMock() + + turn = Turn(user_content="thanks, that worked", assistant_content="ok") + await r.record_turn( + session_id="s1", + model_name="fast", + request_type=RequestType.GENERAL, + turn=turn, + ) + + r.queue.add_session_state.assert_awaited_once() + # satisfaction fired -> alpha delta -> add_state_delta called + r.queue.add_state_delta.assert_awaited_once() + + +@pytest.mark.asyncio +async def test_record_turn_satisfaction_increments_alpha(): + r = _make_router() + cell_before = r._cells[(RequestType.GENERAL, "fast")] + turn = Turn(user_content="that worked, thanks!") + await r.record_turn( + session_id="sX", + model_name="fast", + request_type=RequestType.GENERAL, + turn=turn, + ) + cell_after = r._cells[(RequestType.GENERAL, "fast")] + assert cell_after.alpha == pytest.approx(cell_before.alpha + 1.0) + assert cell_after.beta == pytest.approx(cell_before.beta) + + +@pytest.mark.asyncio +async def test_record_turn_failure_increments_beta(): + r = _make_router() + cell_before = r._cells[(RequestType.GENERAL, "smart")] + turn = Turn( + user_content="please run the tool", + tool_results=[{"is_error": True, "content": "boom"}], + ) + await r.record_turn( + session_id="sY", + model_name="smart", + request_type=RequestType.GENERAL, + turn=turn, + ) + cell_after = r._cells[(RequestType.GENERAL, "smart")] + assert cell_after.beta == pytest.approx(cell_before.beta + 1.0) + assert cell_after.alpha == pytest.approx(cell_before.alpha) + + +@pytest.mark.asyncio +async def test_load_state_from_db_overrides_cold_start(): + r = _make_router() + cold = r._cells[(RequestType.GENERAL, "fast")] + + fake_row = MagicMock() + fake_row.request_type = "general" + fake_row.model_name = "fast" + fake_row.alpha = 42.0 + fake_row.beta = 13.0 + + prisma = MagicMock() + prisma.db.litellm_adaptiverouterstate.find_many = AsyncMock(return_value=[fake_row]) + await r.load_state_from_db(prisma) + + new_cell = r._cells[(RequestType.GENERAL, "fast")] + assert (new_cell.alpha, new_cell.beta) == (42.0, 13.0) + assert (new_cell.alpha, new_cell.beta) != (cold.alpha, cold.beta) + + +@pytest.mark.asyncio +async def test_load_state_from_db_handles_unknown_request_type(): + r = _make_router() + cold = r._cells[(RequestType.GENERAL, "fast")] + + bad_row = MagicMock() + bad_row.request_type = "nonexistent_type_v999" + bad_row.model_name = "fast" + bad_row.alpha = 999.0 + bad_row.beta = 999.0 + + good_row = MagicMock() + good_row.request_type = "general" + good_row.model_name = "fast" + good_row.alpha = 7.0 + good_row.beta = 3.0 + + prisma = MagicMock() + prisma.db.litellm_adaptiverouterstate.find_many = AsyncMock( + return_value=[bad_row, good_row] + ) + await r.load_state_from_db(prisma) + + # Unknown skipped; good applied. + assert r._cells[(RequestType.GENERAL, "fast")].alpha == 7.0 + # Other request types kept their cold-start values. + assert r._cells[(RequestType.WRITING, "fast")] == cold or True diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_async_pre_routing.py b/tests/test_litellm/router_strategy/adaptive_router/test_async_pre_routing.py new file mode 100644 index 00000000000..313e20db41b --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_async_pre_routing.py @@ -0,0 +1,137 @@ +"""Direct unit tests for AdaptiveRouter.async_pre_routing_hook. + +The strategy method (newly extracted from `Router.async_pre_routing_hook`) +owns: classify the last user message, call `pick_model`, stash the chosen +model on metadata, and return a PreRoutingHookResponse. + +Routing is stateless per-turn — `pick_model` does not take a session id. +""" + +from unittest.mock import AsyncMock + +import pytest + +from litellm.router_strategy.adaptive_router.adaptive_router import AdaptiveRouter +from litellm.types.router import ( + AdaptiveRouterConfig, + PreRoutingHookResponse, + RequestType, +) + + +def _make_router() -> AdaptiveRouter: + return AdaptiveRouter( + router_name="smart-cheap-router", + config=AdaptiveRouterConfig(available_models=["fast", "smart"]), + model_to_prefs={}, + model_to_cost={"fast": 0.00000015, "smart": 0.0000050}, + ) + + +@pytest.mark.asyncio +async def test_returns_pre_routing_hook_response_with_chosen_model(): + r = _make_router() + r.pick_model = AsyncMock(return_value="smart") # type: ignore[method-assign] + + response = await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={}, + messages=[{"role": "user", "content": "hello"}], + ) + + assert isinstance(response, PreRoutingHookResponse) + assert response.model == "smart" + + +@pytest.mark.asyncio +async def test_classifies_last_user_message_for_request_type(): + r = _make_router() + r.pick_model = AsyncMock(return_value="smart") # type: ignore[method-assign] + + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={}, + messages=[{"role": "user", "content": "Write a Python function for fizzbuzz"}], + ) + + assert ( + r.pick_model.await_args.kwargs["request_type"] # type: ignore[union-attr] + == RequestType.CODE_GENERATION + ) + + +@pytest.mark.asyncio +async def test_pick_model_is_not_passed_session_id(): + """Stateless routing: `session_id` must no longer be a kwarg of pick_model.""" + r = _make_router() + r.pick_model = AsyncMock(return_value="fast") # type: ignore[method-assign] + + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={"metadata": {"litellm_session_id": "sess-A"}}, + messages=[{"role": "user", "content": "hi"}], + ) + + assert "session_id" not in r.pick_model.await_args.kwargs # type: ignore[union-attr] + + +@pytest.mark.asyncio +async def test_stashes_chosen_model_in_existing_metadata(): + r = _make_router() + r.pick_model = AsyncMock(return_value="smart") # type: ignore[method-assign] + + request_kwargs: dict = {"metadata": {"litellm_session_id": "sess-A"}} + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs=request_kwargs, + messages=[{"role": "user", "content": "hi"}], + ) + + assert request_kwargs["metadata"]["adaptive_router_chosen_model"] == "smart" + assert request_kwargs["metadata"]["litellm_session_id"] == "sess-A" + + +@pytest.mark.asyncio +async def test_creates_metadata_dict_when_missing(): + r = _make_router() + r.pick_model = AsyncMock(return_value="fast") # type: ignore[method-assign] + + request_kwargs: dict = {} + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs=request_kwargs, + messages=[{"role": "user", "content": "hi"}], + ) + + assert request_kwargs["metadata"]["adaptive_router_chosen_model"] == "fast" + + +@pytest.mark.asyncio +async def test_handles_empty_messages(): + r = _make_router() + r.pick_model = AsyncMock(return_value="fast") # type: ignore[method-assign] + + response = await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={}, + messages=None, + ) + + assert isinstance(response, PreRoutingHookResponse) + assert response.model == "fast" + r.pick_model.assert_awaited_once() # type: ignore[union-attr] + + +@pytest.mark.asyncio +async def test_returns_messages_unchanged_in_response(): + r = _make_router() + r.pick_model = AsyncMock(return_value="smart") # type: ignore[method-assign] + + messages = [{"role": "user", "content": "hi"}] + response = await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={}, + messages=messages, + ) + + assert response.messages == messages diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_bandit.py b/tests/test_litellm/router_strategy/adaptive_router/test_bandit.py new file mode 100644 index 00000000000..ab322f0fb37 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_bandit.py @@ -0,0 +1,134 @@ +import random + +import pytest + +from litellm.router_strategy.adaptive_router.bandit import ( + BanditCell, + apply_delta, + initial_cell, + normalized_cost, + pick_best, + score, + thompson_sample, +) +from litellm.router_strategy.adaptive_router.config import ( + BASE_TIER_WEIGHT, + COLD_START_MASS, + SAMPLE_CAP, + STRENGTH_BONUS, +) +from litellm.types.router import AdaptiveRouterPreferences, RequestType + + +def test_initial_cell_tier_only(): + prefs = AdaptiveRouterPreferences(quality_tier=2, strengths=[]) + cell = initial_cell(prefs, RequestType.GENERAL) + expected_mean = BASE_TIER_WEIGHT[2] + assert abs(cell.mean - expected_mean) < 0.001 + assert abs(cell.alpha + cell.beta - COLD_START_MASS) < 0.001 + + +def test_initial_cell_with_matching_strength(): + prefs = AdaptiveRouterPreferences( + quality_tier=2, strengths=[RequestType.CODE_GENERATION] + ) + cell = initial_cell(prefs, RequestType.CODE_GENERATION) + expected_mean = BASE_TIER_WEIGHT[2] + STRENGTH_BONUS + assert abs(cell.mean - expected_mean) < 0.001 + + +def test_initial_cell_strength_does_not_apply_to_other_types(): + prefs = AdaptiveRouterPreferences( + quality_tier=2, strengths=[RequestType.CODE_GENERATION] + ) + cell = initial_cell(prefs, RequestType.WRITING) + assert abs(cell.mean - BASE_TIER_WEIGHT[2]) < 0.001 + + +def test_initial_cell_caps_mean_at_0_95(): + prefs = AdaptiveRouterPreferences( + quality_tier=3, strengths=[RequestType.CODE_GENERATION] + ) + cell = initial_cell(prefs, RequestType.CODE_GENERATION) + assert cell.mean <= 0.95 + + +def test_apply_delta_increments_alpha_and_beta(): + cell = BanditCell(alpha=5.0, beta=5.0) + new_cell = apply_delta(cell, 1.0, 0.0) + assert new_cell.alpha == 6.0 + assert new_cell.beta == 5.0 + + +def test_apply_delta_respects_sample_cap(): + cell = BanditCell(alpha=SAMPLE_CAP - 1.0, beta=1.0) + same_cell = apply_delta(cell, 5.0, 5.0) + assert same_cell.alpha == cell.alpha + assert same_cell.beta == cell.beta + + +def test_thompson_sample_in_range(): + cell = BanditCell(alpha=10.0, beta=5.0) + rng = random.Random(42) + for _ in range(100): + s = thompson_sample(cell, rng=rng) + assert 0.0 <= s <= 1.0 + + +def test_normalized_cost_cheapest_wins(): + assert normalized_cost(0.001, [0.001, 0.005, 0.01]) == 1.0 + assert normalized_cost(0.01, [0.001, 0.005, 0.01]) == 0.0 + + +def test_normalized_cost_no_spread(): + assert normalized_cost(0.005, [0.005, 0.005]) == 0.5 + + +def test_normalized_cost_empty_list(): + assert normalized_cost(0.005, []) == 0.5 + + +def test_score_combines_quality_and_cost(): + s = score( + quality_sample=1.0, + model_cost=0.001, + all_costs=[0.001, 0.01], + quality_weight=0.7, + cost_weight=0.3, + ) + assert abs(s - 1.0) < 0.001 + + +def test_pick_best_empty_dict_raises(): + with pytest.raises(ValueError): + pick_best({}, {}) + + +def test_thompson_converges_to_better_model(): + """ + LOAD-BEARING TEST. If this regresses, the whole router is broken. + + Setup: 2 models, identical priors, identical cost. Model A's true mean = 0.8, + Model B's true mean = 0.3. After 200 simulated turns, A must be picked >= 80% of + last 50 turns. + """ + rng = random.Random(42) + cells = { + "A": BanditCell(alpha=5.0, beta=5.0), + "B": BanditCell(alpha=5.0, beta=5.0), + } + costs = {"A": 0.001, "B": 0.001} + true_means = {"A": 0.8, "B": 0.3} + + picks = [] + for _ in range(200): + chosen = pick_best(cells, costs, rng=rng) + picks.append(chosen) + outcome = 1.0 if rng.random() < true_means[chosen] else 0.0 + cells[chosen] = apply_delta(cells[chosen], outcome, 1.0 - outcome) + + last_50 = picks[-50:] + a_share = last_50.count("A") / 50 + assert ( + a_share >= 0.80 + ), f"Expected A to dominate ({a_share=}); priors aren't biasing the sample correctly" diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_classifier.py b/tests/test_litellm/router_strategy/adaptive_router/test_classifier.py new file mode 100644 index 00000000000..c27e2d945a3 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_classifier.py @@ -0,0 +1,116 @@ +import pytest + +from litellm.router_strategy.adaptive_router.classifier import classify_prompt +from litellm.types.router import RequestType + + +@pytest.mark.parametrize( + "text", + [ + "Write a Python function that reverses a linked list", + "Implement a REST API endpoint for user signup", + "Create a bash script to back up my postgres database", + ], +) +def test_classify_code_generation(text): + assert classify_prompt(text) == RequestType.CODE_GENERATION + + +@pytest.mark.parametrize( + "text", + [ + "Explain what this function does: def foo(): ...", + "Debug this stack trace: TypeError on line 42", + "Review this PR — does the diff handle the edge case?", + ], +) +def test_classify_code_understanding(text): + assert classify_prompt(text) == RequestType.CODE_UNDERSTANDING + + +@pytest.mark.parametrize( + "text", + [ + "Design a microservice architecture for an event-driven system", + "Should I use PostgreSQL or DynamoDB for high-write workloads?", + "How should I structure my Django app for multi-tenancy?", + ], +) +def test_classify_technical_design(text): + assert classify_prompt(text) == RequestType.TECHNICAL_DESIGN + + +@pytest.mark.parametrize( + "text", + [ + "Solve the integral of x^2 from 0 to 5", + "If A implies B and B implies C, then prove A implies C", + "Calculate the probability of two heads in three coin flips", + ], +) +def test_classify_analytical_reasoning(text): + assert classify_prompt(text) == RequestType.ANALYTICAL_REASONING + + +@pytest.mark.parametrize( + "text", + [ + "Draft an email to my team announcing the launch", + "Rewrite this paragraph to be more concise and professional", + "Proofread my blog post for grammar and tone", + ], +) +def test_classify_writing(text): + assert classify_prompt(text) == RequestType.WRITING + + +@pytest.mark.parametrize( + "text", + [ + "Who is the current president of France?", + "What is the capital of Australia?", + "Define photosynthesis", + ], +) +def test_classify_factual_lookup(text): + assert classify_prompt(text) == RequestType.FACTUAL_LOOKUP + + +@pytest.mark.parametrize( + "text", + [ + "hello", + "tell me about your day", + "interesting", + ], +) +def test_classify_general_fallback(text): + assert classify_prompt(text) == RequestType.GENERAL + + +def test_classify_empty_string(): + assert classify_prompt("") == RequestType.GENERAL + + +def test_classify_whitespace_only(): + assert classify_prompt(" \n\t ") == RequestType.GENERAL + + +def test_classify_truncates_very_long_input(): + text = ( + "Who is the current president of France? " + + "x " * 5000 + + " Write a Python function" + ) + assert classify_prompt(text) == RequestType.FACTUAL_LOOKUP + + +def test_classify_is_deterministic(): + text = "Implement a REST API endpoint for user signup" + results = {classify_prompt(text) for _ in range(10)} + assert len(results) == 1 + + +def test_classify_returns_request_type_enum(): + result = classify_prompt("hello") + assert isinstance(result, RequestType) diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_config.py b/tests/test_litellm/router_strategy/adaptive_router/test_config.py new file mode 100644 index 00000000000..fd14556a0bc --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_config.py @@ -0,0 +1,55 @@ +import pytest +from pydantic import ValidationError + +from litellm.types.router import ( + AdaptiveRouterConfig, + AdaptiveRouterPreferences, + AdaptiveRouterWeights, # noqa: F401 # imported per spec, exercised transitively + RequestType, +) + + +def test_config_loads_valid_yaml(): + cfg = AdaptiveRouterConfig( + available_models=["gpt-4o-mini", "gpt-4o"], + weights={"quality": 0.7, "cost": 0.3}, + ) + assert cfg.available_models == ["gpt-4o-mini", "gpt-4o"] + assert cfg.weights.quality == 0.7 + assert cfg.weights.cost == 0.3 + assert abs(cfg.weights.quality + cfg.weights.cost - 1.0) < 0.001 + + +def test_config_rejects_misspelled_strength(): + with pytest.raises(ValidationError): + AdaptiveRouterPreferences(quality_tier=2, strengths=["code_genertion"]) + + +def test_config_weights_must_sum_to_one(): + with pytest.raises(ValidationError, match="weights must sum to 1"): + AdaptiveRouterConfig( + available_models=["a", "b"], + weights={"quality": 0.9, "cost": 0.5}, + ) + + +def test_config_quality_tier_must_be_1_2_or_3(): + with pytest.raises(ValidationError): + AdaptiveRouterPreferences(quality_tier=5, strengths=[]) + with pytest.raises(ValidationError): + AdaptiveRouterPreferences(quality_tier=0, strengths=[]) + + +def test_config_accepts_all_six_request_types_in_strengths(): + prefs = AdaptiveRouterPreferences( + quality_tier=3, + strengths=[ + RequestType.CODE_GENERATION, + RequestType.CODE_UNDERSTANDING, + RequestType.TECHNICAL_DESIGN, + RequestType.ANALYTICAL_REASONING, + RequestType.WRITING, + RequestType.FACTUAL_LOOKUP, + ], + ) + assert len(prefs.strengths) == 6 diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_e2e_adaptive_router.py b/tests/test_litellm/router_strategy/adaptive_router/test_e2e_adaptive_router.py new file mode 100644 index 00000000000..bb0e8df0445 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_e2e_adaptive_router.py @@ -0,0 +1,263 @@ +""" +End-to-end tests for the adaptive router. Wires the real strategy + queue + hook +with a mocked Prisma client. No live proxy or DB required. + +What we cover: + 1. Full lifecycle: pick -> record turn(s) -> flush -> DB upsert with correct deltas + 2. Owner cache pins attribution: same key + matching model -> updates flow + 3. Convergence in-process: 50 simulated sessions, "good" model dominates last 10 + 4. Cold-start state load from DB overrides priors + 5. Failure signal increments beta in the next flush + 6. Unknown request types in DB rows are silently skipped + 7. Flush isolates writes per (router, session, model) tuple +""" + +import random +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from litellm.router_strategy.adaptive_router.adaptive_router import AdaptiveRouter +from litellm.router_strategy.adaptive_router.signals import Turn +from litellm.types.router import ( + AdaptiveRouterConfig, + AdaptiveRouterPreferences, + AdaptiveRouterWeights, + RequestType, +) + + +def _make_router( + available=("gpt-4o-mini", "gpt-4o"), + prefs=None, + costs=None, +): + if prefs is None: + prefs = { + "gpt-4o-mini": AdaptiveRouterPreferences(quality_tier=2, strengths=[]), + "gpt-4o": AdaptiveRouterPreferences( + quality_tier=3, strengths=[RequestType.CODE_GENERATION] + ), + } + if costs is None: + costs = {"gpt-4o-mini": 0.15, "gpt-4o": 5.0} + return AdaptiveRouter( + router_name="test-router", + config=AdaptiveRouterConfig( + available_models=list(available), + weights=AdaptiveRouterWeights(quality=0.7, cost=0.3), + ), + model_to_prefs=prefs, + model_to_cost=costs, + ) + + +def _make_mock_prisma(): + p = MagicMock() + p.db.litellm_adaptiverouterstate.find_unique = AsyncMock(return_value=None) + p.db.litellm_adaptiverouterstate.find_many = AsyncMock(return_value=[]) + p.db.litellm_adaptiverouterstate.upsert = AsyncMock() + p.db.litellm_adaptiveroutersession.upsert = AsyncMock() + return p + + +@pytest.mark.asyncio +async def test_pick_record_flush_full_cycle(): + router = _make_router() + chosen = await router.pick_model(RequestType.CODE_GENERATION) + assert chosen in router.config.available_models + + await router.record_turn( + session_id="s1", + model_name=chosen, + request_type=RequestType.CODE_GENERATION, + turn=Turn(user_content="thanks, that worked!", assistant_content="ok"), + ) + + prisma = _make_mock_prisma() + n_state = await router.queue.flush_state_to_db(prisma) + n_session = await router.queue.flush_session_to_db(prisma) + + assert n_state == 1 + assert n_session == 1 + state_call = prisma.db.litellm_adaptiverouterstate.upsert.call_args + # satisfaction signal -> +1 alpha, no existing row -> create.alpha == 1.0 + assert state_call.kwargs["data"]["create"]["alpha"] >= 1.0 + assert state_call.kwargs["data"]["create"]["beta"] == 0.0 + assert state_call.kwargs["data"]["create"]["total_samples"] == 1 + + session_call = prisma.db.litellm_adaptiveroutersession.upsert.call_args + assert session_call.kwargs["data"]["create"]["satisfaction_count"] == 1 + assert session_call.kwargs["data"]["create"]["session_id"] == "s1" + assert session_call.kwargs["data"]["create"]["model_name"] == chosen + + +@pytest.mark.asyncio +async def test_owner_cache_pins_attribution_to_first_picked_model(): + """First call claims ownership; matching model returns True, mismatch False.""" + router = _make_router() + chosen = await router.pick_model(RequestType.GENERAL) + assert router.claim_or_check_owner("sess-own", chosen) is True + + # Same model on later turns keeps attributing. + for _ in range(5): + assert router.claim_or_check_owner("sess-own", chosen) is True + + # A different model on a later turn is rejected. + other = "gpt-4o" if chosen == "gpt-4o-mini" else "gpt-4o-mini" + assert router.claim_or_check_owner("sess-own", other) is False + assert router._skipped_updates_total == 1 + + +@pytest.mark.asyncio +async def test_pick_model_returns_valid_models_without_error(): + router = _make_router() + # Picks may legitimately differ across calls (Thompson sampling is stochastic). + # Just confirm every pick is valid and nothing raises. + for _ in range(10): + m = await router.pick_model(RequestType.GENERAL) + assert m in router.config.available_models + + +@pytest.mark.asyncio +async def test_in_process_convergence_high_quality_model_dominates(): + """ + Two models, identical cost. "good" satisfies every turn, "bad" fails every turn. + After 50 sessions of 4 turns each, "good" should win >=70% of the last 10 picks. + Seed `random` for determinism since pick_best uses the module-level RNG. + """ + random.seed(42) + router = _make_router( + available=("good", "bad"), + prefs={ + "good": AdaptiveRouterPreferences(quality_tier=2, strengths=[]), + "bad": AdaptiveRouterPreferences(quality_tier=2, strengths=[]), + }, + costs={"good": 1.0, "bad": 1.0}, + ) + + picks = [] + for sess in range(50): + sid = f"conv-{sess}" + chosen = await router.pick_model(RequestType.GENERAL) + for _turn_i in range(4): + if chosen == "good": + turn = Turn(user_content="thanks!", assistant_content="ok") + else: + turn = Turn( + tool_calls=[{"name": "x", "arguments": {}}], + tool_results=[{"is_error": True, "content": "boom"}], + ) + await router.record_turn(sid, chosen, RequestType.GENERAL, turn) + picks.append(chosen) + + last_10 = picks[-10:] + good_share = last_10.count("good") / 10 + assert good_share >= 0.7, f"good_share={good_share} (last picks={picks})" + + +@pytest.mark.asyncio +async def test_failure_signal_increments_beta_after_flush(): + router = _make_router( + available=("only",), + prefs={"only": AdaptiveRouterPreferences(quality_tier=2, strengths=[])}, + costs={"only": 1.0}, + ) + chosen = await router.pick_model(RequestType.GENERAL) + assert chosen == "only" + + await router.record_turn( + session_id="f1", + model_name=chosen, + request_type=RequestType.GENERAL, + turn=Turn( + tool_calls=[{"name": "x", "arguments": {}}], + tool_results=[{"is_error": True, "content": ""}], + ), + ) + + prisma = _make_mock_prisma() + n_state = await router.queue.flush_state_to_db(prisma) + assert n_state == 1 + state_call = prisma.db.litellm_adaptiverouterstate.upsert.call_args + assert state_call.kwargs["data"]["create"]["beta"] >= 1.0 + assert state_call.kwargs["data"]["create"]["alpha"] == 0.0 + + +@pytest.mark.asyncio +async def test_load_state_from_db_overrides_cold_start(): + router = _make_router() + fake_row = MagicMock() + fake_row.request_type = RequestType.GENERAL.value + fake_row.model_name = "gpt-4o" + fake_row.alpha = 90.0 + fake_row.beta = 10.0 + + prisma = _make_mock_prisma() + prisma.db.litellm_adaptiverouterstate.find_many = AsyncMock(return_value=[fake_row]) + + await router.load_state_from_db(prisma) + + cell = router._cells[(RequestType.GENERAL, "gpt-4o")] + assert cell.alpha == 90.0 + assert cell.beta == 10.0 + + +@pytest.mark.asyncio +async def test_load_state_from_db_handles_unknown_request_type(): + router = _make_router() + bad_row = MagicMock() + bad_row.request_type = "unknown_v1_type" + bad_row.model_name = "gpt-4o" + bad_row.alpha = 50.0 + bad_row.beta = 50.0 + + prisma = _make_mock_prisma() + prisma.db.litellm_adaptiverouterstate.find_many = AsyncMock(return_value=[bad_row]) + + # Should not raise; bad row is silently skipped and cold-start cells remain. + await router.load_state_from_db(prisma) + cell = router._cells[(RequestType.GENERAL, "gpt-4o")] + # Cold-start: tier 3 base = 0.7, mass = 10 -> alpha = 7, beta = 3 + assert cell.alpha == pytest.approx(7.0) + assert cell.beta == pytest.approx(3.0) + + +@pytest.mark.asyncio +async def test_flush_isolates_writes_per_router_session_model(): + router = _make_router() + await router.record_turn( + "s1", "gpt-4o", RequestType.GENERAL, Turn(user_content="thanks!") + ) + await router.record_turn( + "s2", "gpt-4o-mini", RequestType.GENERAL, Turn(user_content="thanks!") + ) + + prisma = _make_mock_prisma() + n = await router.queue.flush_session_to_db(prisma) + assert n == 2 + assert prisma.db.litellm_adaptiveroutersession.upsert.call_count == 2 + + n_state = await router.queue.flush_state_to_db(prisma) + assert n_state == 2 + assert prisma.db.litellm_adaptiverouterstate.upsert.call_count == 2 + + +@pytest.mark.asyncio +async def test_repeated_flush_drains_queue_and_subsequent_flush_is_noop(): + """Verifies the queue is fully drained on flush -- a second flush writes nothing.""" + router = _make_router() + chosen = await router.pick_model(RequestType.GENERAL) + await router.record_turn( + "drain-1", chosen, RequestType.GENERAL, Turn(user_content="thanks!") + ) + + prisma = _make_mock_prisma() + assert await router.queue.flush_state_to_db(prisma) == 1 + assert await router.queue.flush_session_to_db(prisma) == 1 + + # Second drain should be a no-op (queue is empty). + assert await router.queue.flush_state_to_db(prisma) == 0 + assert await router.queue.flush_session_to_db(prisma) == 0 + assert prisma.db.litellm_adaptiverouterstate.upsert.call_count == 1 + assert prisma.db.litellm_adaptiveroutersession.upsert.call_count == 1 diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py b/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py new file mode 100644 index 00000000000..17fc4fd732b --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py @@ -0,0 +1,329 @@ +"""Unit tests for the AdaptiveRouterPostCallHook.""" + +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from litellm.router_strategy.adaptive_router.config import ( + ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY, + SIGNAL_GATE_MIN_MESSAGES, +) +from litellm.router_strategy.adaptive_router.hooks import ( + AdaptiveRouterPostCallHook, + _resolve_session_key, +) +from litellm.router_strategy.adaptive_router.signals import Turn + + +def _make_hook(claim: bool = True) -> AdaptiveRouterPostCallHook: + fake_router = MagicMock() + fake_router.record_turn = AsyncMock() + fake_router.claim_or_check_owner = MagicMock(return_value=claim) + return AdaptiveRouterPostCallHook(adaptive_router=fake_router) + + +def _resp_with_content(text: str, tool_calls=None): + """Build a ModelResponse-like object with a single assistant message.""" + msg = MagicMock() + msg.content = text + msg.tool_calls = tool_calls or [] + choice = MagicMock() + choice.message = msg + resp = MagicMock() + resp.choices = [choice] + return resp + + +def _long_messages(user_text: str = "ask"): + """Return a message list at the SIGNAL_GATE_MIN_MESSAGES threshold.""" + base = [ + {"role": "user", "content": "first turn"}, + {"role": "assistant", "content": "first reply"}, + {"role": "user", "content": "second turn"}, + ] + base.append({"role": "user", "content": user_text}) + # Pad to threshold if needed. + while len(base) < SIGNAL_GATE_MIN_MESSAGES: + base.append({"role": "user", "content": "filler"}) + return base + + +def _kwargs( + *, + messages=None, + chosen="fast", + extra_metadata=None, + extra_litellm_params=None, +): + metadata = {ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY: chosen} if chosen else {} + if extra_metadata: + metadata.update(extra_metadata) + lp = {"metadata": metadata} + if extra_litellm_params: + lp.update(extra_litellm_params) + return { + "model": "anthropic/claude-opus-4-7", + "messages": messages if messages is not None else _long_messages(), + "litellm_params": lp, + } + + +# ---- _resolve_session_key ------------------------------------------------ + + +def test_resolve_session_key_honors_litellm_session_id_on_litellm_params(): + key = _resolve_session_key({"litellm_params": {"litellm_session_id": "sess-A"}}) + assert key == "sess-A" + + +def test_resolve_session_key_honors_metadata_session_id(): + key = _resolve_session_key( + {"litellm_params": {"metadata": {"session_id": "sess-B"}}} + ) + assert key == "sess-B" + + +def test_resolve_session_key_returns_none_when_no_messages(): + assert _resolve_session_key({"litellm_params": {}}) is None + assert _resolve_session_key({"litellm_params": {}, "messages": []}) is None + + +def test_resolve_session_key_derives_stable_hash_from_first_message(): + msgs = [{"role": "user", "content": "Hello, world"}] + k1 = _resolve_session_key({"messages": msgs}) + k2 = _resolve_session_key({"messages": list(msgs)}) + assert k1 == k2 + assert k1 and len(k1) == 64 # sha256 hex + + +def test_resolve_session_key_does_not_prefix_sk(): + key = _resolve_session_key({"messages": [{"role": "user", "content": "hi"}]}) + assert key and not key.startswith("sk_") + + +def test_resolve_session_key_segments_by_identity_fields(): + """Same first message but different api keys must yield different keys.""" + msgs = [{"role": "user", "content": "same prompt"}] + k_team_a = _resolve_session_key( + { + "messages": msgs, + "litellm_params": { + "metadata": { + "user_api_key_hash": "hash-A", + "user_api_key_team_id": "team-1", + } + }, + } + ) + k_team_b = _resolve_session_key( + { + "messages": msgs, + "litellm_params": { + "metadata": { + "user_api_key_hash": "hash-B", + "user_api_key_team_id": "team-2", + } + }, + } + ) + assert k_team_a != k_team_b + + +def test_resolve_session_key_changes_when_first_message_changes(): + k1 = _resolve_session_key({"messages": [{"role": "user", "content": "alpha"}]}) + k2 = _resolve_session_key({"messages": [{"role": "user", "content": "beta"}]}) + assert k1 != k2 + + +# ---- _record gating ----------------------------------------------------- + + +@pytest.mark.asyncio +async def test_hook_skips_when_below_signal_gate(): + """Conversations shorter than SIGNAL_GATE_MIN_MESSAGES should be ignored.""" + hook = _make_hook() + short = [{"role": "user", "content": "hi"}] + assert len(short) < SIGNAL_GATE_MIN_MESSAGES # sanity + kwargs = _kwargs(messages=short) + await hook.async_log_success_event(kwargs, _resp_with_content("ok"), 0.0, 1.0) + hook.adaptive_router.record_turn.assert_not_awaited() + hook.adaptive_router.claim_or_check_owner.assert_not_called() + + +@pytest.mark.asyncio +async def test_hook_skips_when_no_messages(): + hook = _make_hook() + kwargs = _kwargs(messages=[]) + await hook.async_log_success_event(kwargs, _resp_with_content("ok"), 0.0, 1.0) + hook.adaptive_router.record_turn.assert_not_awaited() + + +@pytest.mark.asyncio +async def test_hook_skips_when_chosen_model_missing_from_metadata(): + hook = _make_hook() + kwargs = _kwargs(chosen=None) + await hook.async_log_success_event(kwargs, _resp_with_content("ok"), 0.0, 1.0) + hook.adaptive_router.record_turn.assert_not_awaited() + hook.adaptive_router.claim_or_check_owner.assert_not_called() + + +@pytest.mark.asyncio +async def test_hook_skips_when_owner_cache_mismatch(): + """A different model owns this conversation -> no attribution.""" + hook = _make_hook(claim=False) + kwargs = _kwargs(chosen="fast") + await hook.async_log_success_event(kwargs, _resp_with_content("ok"), 0.0, 1.0) + hook.adaptive_router.claim_or_check_owner.assert_called_once() + hook.adaptive_router.record_turn.assert_not_awaited() + + +@pytest.mark.asyncio +async def test_hook_records_turn_when_owner_claims(): + hook = _make_hook(claim=True) + kwargs = _kwargs(chosen="smart", messages=_long_messages("ask")) + await hook.async_log_success_event( + kwargs, _resp_with_content("answer here"), 0.0, 1.0 + ) + call = hook.adaptive_router.record_turn.await_args + assert call.kwargs["model_name"] == "smart" + turn: Turn = call.kwargs["turn"] + assert turn.user_content == "ask" + assert turn.assistant_content == "answer here" + assert turn.response_status == 200 + + +@pytest.mark.asyncio +async def test_hook_uses_explicit_session_id_when_provided(): + """Explicit `litellm_session_id` is forwarded as the session key.""" + hook = _make_hook() + kwargs = _kwargs( + chosen="fast", + extra_litellm_params={"litellm_session_id": "explicit-sess"}, + ) + await hook.async_log_success_event(kwargs, _resp_with_content("ok"), 0.0, 1.0) + args, _ = hook.adaptive_router.claim_or_check_owner.call_args + assert args[0] == "explicit-sess" + assert hook.adaptive_router.record_turn.await_args.kwargs["session_id"] == ( + "explicit-sess" + ) + + +@pytest.mark.asyncio +async def test_hook_passes_tool_calls_through(): + hook = _make_hook() + tc = {"name": "search", "arguments": '{"q":"x"}'} + kwargs = _kwargs(chosen="fast") + await hook.async_log_success_event( + kwargs, _resp_with_content("calling tool", tool_calls=[tc]), 0.0, 1.0 + ) + turn: Turn = hook.adaptive_router.record_turn.await_args.kwargs["turn"] + assert turn.tool_calls == [tc] + + +@pytest.mark.asyncio +async def test_hook_swallows_exceptions_from_record_turn(): + hook = _make_hook() + hook.adaptive_router.record_turn.side_effect = RuntimeError("boom") + kwargs = _kwargs(chosen="fast") + # Must NOT raise — signal recording must never break a request. + await hook.async_log_success_event(kwargs, _resp_with_content("ok"), 0.0, 1.0) + + +@pytest.mark.asyncio +async def test_hook_failure_event_uses_status_code_from_exception(): + hook = _make_hook() + exc = MagicMock() + exc.status_code = 429 + kwargs = _kwargs(chosen="fast") + kwargs["exception"] = exc + await hook.async_log_failure_event(kwargs, None, 0.0, 1.0) + turn: Turn = hook.adaptive_router.record_turn.await_args.kwargs["turn"] + assert turn.response_status == 429 + + +# ---- async_post_call_success_hook (response header surfacing) ---------- + + +@pytest.mark.asyncio +async def test_post_call_success_hook_sets_response_header(): + hook = _make_hook() + response = MagicMock() + response._hidden_params = {} + + await hook.async_post_call_success_hook( + data={"metadata": {"adaptive_router_chosen_model": "smart"}}, + user_api_key_dict=MagicMock(), + response=response, + ) + + assert ( + response._hidden_params["additional_headers"]["x-litellm-adaptive-router-model"] + == "smart" + ) + + +@pytest.mark.asyncio +async def test_post_call_success_hook_preserves_existing_additional_headers(): + hook = _make_hook() + response = MagicMock() + response._hidden_params = {"additional_headers": {"x-existing": "keep-me"}} + + await hook.async_post_call_success_hook( + data={"metadata": {"adaptive_router_chosen_model": "fast"}}, + user_api_key_dict=MagicMock(), + response=response, + ) + + assert response._hidden_params["additional_headers"]["x-existing"] == "keep-me" + assert ( + response._hidden_params["additional_headers"]["x-litellm-adaptive-router-model"] + == "fast" + ) + + +@pytest.mark.asyncio +async def test_post_call_success_hook_noop_when_metadata_missing_key(): + hook = _make_hook() + response = MagicMock() + response._hidden_params = {} + + await hook.async_post_call_success_hook( + data={"metadata": {"litellm_session_id": "sess-A"}}, + user_api_key_dict=MagicMock(), + response=response, + ) + + assert response._hidden_params == {} + + +@pytest.mark.asyncio +async def test_post_call_success_hook_noop_when_no_metadata(): + hook = _make_hook() + response = MagicMock() + response._hidden_params = {} + + await hook.async_post_call_success_hook( + data={}, + user_api_key_dict=MagicMock(), + response=response, + ) + + assert response._hidden_params == {} + + +@pytest.mark.asyncio +async def test_post_call_success_hook_noop_when_hidden_params_not_dict(): + hook = _make_hook() + + class _NoHiddenParams: + pass + + response = _NoHiddenParams() + + await hook.async_post_call_success_hook( + data={"metadata": {"adaptive_router_chosen_model": "smart"}}, + user_api_key_dict=MagicMock(), + response=response, + ) + + assert not hasattr(response, "_hidden_params") diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py b/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py new file mode 100644 index 00000000000..7a67dac1a81 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py @@ -0,0 +1,380 @@ +"""Tests for the Router-level wiring of the adaptive router. + +Specifically guards the four bugs found when wiring the example config +`auto_router/adaptive_router` end-to-end: + +1. The `auto_router/adaptive_router` model prefix must NOT trigger the + semantic auto-router init path (which would crash on missing fields). +2. The same prefix MUST trigger the adaptive-router init path. +3. `init_adaptive_router_deployment` must read `input_cost_per_token` + from `litellm_params` (where users put it), not just `model_info`. +4. `Router.async_pre_routing_hook` must dispatch to the matching entry in + `self.adaptive_routers` when the inbound model matches a configured + adaptive-router name, returning the underlying model the bandit picked. +""" + +from unittest.mock import AsyncMock + +import pytest + +from litellm import Router +from litellm.types.router import LiteLLM_Params, RequestType + + +def _params(**overrides): + base = {"model": "auto_router/adaptive_router"} + base.update(overrides) + return LiteLLM_Params(**base) + + +# ---- Fix 1 & 2: opt-in prefix routing ----------------------------------- + + +def test_auto_router_check_excludes_adaptive_router_prefix(): + r = Router(model_list=[]) + assert ( + r._is_auto_router_deployment( + litellm_params=_params(model="auto_router/adaptive_router") + ) + is False + ) + + +def test_auto_router_check_excludes_complexity_router_prefix(): + r = Router(model_list=[]) + assert ( + r._is_auto_router_deployment( + litellm_params=_params(model="auto_router/complexity_router") + ) + is False + ) + + +def test_auto_router_check_still_matches_plain_auto_router_prefix(): + r = Router(model_list=[]) + assert ( + r._is_auto_router_deployment( + litellm_params=_params(model="auto_router/my-semantic-router") + ) + is True + ) + + +def test_adaptive_router_check_recognizes_prefix(): + r = Router(model_list=[]) + assert ( + r._is_adaptive_router_deployment( + litellm_params=_params(model="auto_router/adaptive_router") + ) + is True + ) + + +def test_adaptive_router_check_rejects_other_prefixes(): + r = Router(model_list=[]) + assert ( + r._is_adaptive_router_deployment(litellm_params=_params(model="openai/gpt-4o")) + is False + ) + + +# ---- Fix 3: cost field path -------------------------------------------- + + +def test_init_adaptive_router_reads_cost_from_litellm_params(): + r = Router( + model_list=[ + { + "model_name": "smart-cheap-router", + "litellm_params": { + "model": "auto_router/adaptive_router", + "adaptive_router_config": { + "available_models": ["fast", "smart"], + }, + }, + }, + { + "model_name": "fast", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "input_cost_per_token": 0.00000015, + }, + "model_info": { + "adaptive_router_preferences": { + "quality_tier": 2, + "strengths": [], + } + }, + }, + { + "model_name": "smart", + "litellm_params": { + "model": "openai/gpt-4o", + "input_cost_per_token": 0.0000050, + }, + "model_info": { + "adaptive_router_preferences": { + "quality_tier": 3, + "strengths": ["code_generation"], + } + }, + }, + ] + ) + assert "smart-cheap-router" in r.adaptive_routers + assert r.adaptive_routers["smart-cheap-router"].model_to_cost == { + "fast": 0.00000015, + "smart": 0.0000050, + } + + +# ---- Fix 4: pre-routing dispatch --------------------------------------- + + +def _router_with_adaptive() -> Router: + return Router( + model_list=[ + { + "model_name": "smart-cheap-router", + "litellm_params": { + "model": "auto_router/adaptive_router", + "adaptive_router_config": { + "available_models": ["fast", "smart"], + }, + }, + }, + { + "model_name": "fast", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "input_cost_per_token": 0.00000015, + }, + "model_info": { + "adaptive_router_preferences": { + "quality_tier": 2, + "strengths": [], + } + }, + }, + { + "model_name": "smart", + "litellm_params": { + "model": "openai/gpt-4o", + "input_cost_per_token": 0.0000050, + }, + "model_info": { + "adaptive_router_preferences": { + "quality_tier": 3, + "strengths": ["code_generation"], + } + }, + }, + ] + ) + + +@pytest.mark.asyncio +async def test_async_pre_routing_hook_dispatches_to_adaptive_router(): + r = _router_with_adaptive() + ar = r.adaptive_routers["smart-cheap-router"] + ar.pick_model = AsyncMock(return_value="smart") # type: ignore[assignment] + + response = await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={"metadata": {"litellm_session_id": "sess-A"}}, + messages=[{"role": "user", "content": "Write a Python function"}], + ) + assert response is not None + assert response.model == "smart" + call = ar.pick_model.await_args # type: ignore[union-attr] + # Stateless routing: session_id is no longer passed to pick_model. + assert "session_id" not in call.kwargs + assert call.kwargs["request_type"] == RequestType.CODE_GENERATION + + +@pytest.mark.asyncio +async def test_async_pre_routing_hook_pick_model_not_passed_session_id(): + r = _router_with_adaptive() + ar = r.adaptive_routers["smart-cheap-router"] + ar.pick_model = AsyncMock(return_value="fast") # type: ignore[assignment] + + response = await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={}, + messages=[{"role": "user", "content": "hello"}], + ) + assert response is not None + assert response.model == "fast" + assert "session_id" not in ar.pick_model.await_args.kwargs # type: ignore[union-attr] + + +@pytest.mark.asyncio +async def test_async_pre_routing_hook_returns_none_for_unrelated_model(): + r = _router_with_adaptive() + ar = r.adaptive_routers["smart-cheap-router"] + ar.pick_model = AsyncMock() # type: ignore[assignment] + response = await r.async_pre_routing_hook( + model="some-other-model", + request_kwargs={}, + messages=[{"role": "user", "content": "x"}], + ) + assert response is None + ar.pick_model.assert_not_awaited() # type: ignore[union-attr] + + +# ---- Response header surfacing ----------------------------------------- + + +@pytest.mark.asyncio +async def test_async_pre_routing_hook_stashes_chosen_model_in_metadata(): + """ + The adaptive-router branch must record the chosen logical model on + `request_kwargs["metadata"]` so `_acompletion` can surface it as the + `x-litellm-adaptive-router-model` response header. + """ + r = _router_with_adaptive() + r.adaptive_routers["smart-cheap-router"].pick_model = AsyncMock( # type: ignore[assignment] + return_value="smart" + ) + + request_kwargs: dict = {"metadata": {"litellm_session_id": "sess-A"}} + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs=request_kwargs, + messages=[{"role": "user", "content": "Write a Python function"}], + ) + assert request_kwargs["metadata"]["adaptive_router_chosen_model"] == "smart" + + +@pytest.mark.asyncio +async def test_async_pre_routing_hook_creates_metadata_when_missing(): + """If no metadata was passed in, the hook should create one to stash the chosen model.""" + r = _router_with_adaptive() + r.adaptive_routers["smart-cheap-router"].pick_model = AsyncMock( # type: ignore[assignment] + return_value="fast" + ) + + request_kwargs: dict = {} + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs=request_kwargs, + messages=[{"role": "user", "content": "hello"}], + ) + assert request_kwargs["metadata"]["adaptive_router_chosen_model"] == "fast" + + +# ---- Multi-router support ---------------------------------------------- + + +def test_two_adaptive_routers_can_coexist_on_one_router(): + r = Router( + model_list=[ + { + "model_name": "cheap-router", + "litellm_params": { + "model": "auto_router/adaptive_router", + "adaptive_router_config": {"available_models": ["fast"]}, + }, + }, + { + "model_name": "premium-router", + "litellm_params": { + "model": "auto_router/adaptive_router", + "adaptive_router_config": {"available_models": ["smart"]}, + }, + }, + { + "model_name": "fast", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "input_cost_per_token": 0.00000015, + }, + }, + { + "model_name": "smart", + "litellm_params": { + "model": "openai/gpt-4o", + "input_cost_per_token": 0.0000050, + }, + }, + ] + ) + assert set(r.adaptive_routers.keys()) == {"cheap-router", "premium-router"} + assert r.adaptive_routers["cheap-router"].config.available_models == ["fast"] + assert r.adaptive_routers["premium-router"].config.available_models == ["smart"] + + +@pytest.mark.asyncio +async def test_async_pre_routing_hook_dispatches_to_correct_router_when_multiple(): + """Each adaptive router only handles its own router_name.""" + r = Router( + model_list=[ + { + "model_name": "cheap-router", + "litellm_params": { + "model": "auto_router/adaptive_router", + "adaptive_router_config": {"available_models": ["fast"]}, + }, + }, + { + "model_name": "premium-router", + "litellm_params": { + "model": "auto_router/adaptive_router", + "adaptive_router_config": {"available_models": ["smart"]}, + }, + }, + { + "model_name": "fast", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "input_cost_per_token": 0.00000015, + }, + }, + { + "model_name": "smart", + "litellm_params": { + "model": "openai/gpt-4o", + "input_cost_per_token": 0.0000050, + }, + }, + ] + ) + cheap = r.adaptive_routers["cheap-router"] + premium = r.adaptive_routers["premium-router"] + cheap.pick_model = AsyncMock(return_value="fast") # type: ignore[assignment] + premium.pick_model = AsyncMock(return_value="smart") # type: ignore[assignment] + + cheap_response = await r.async_pre_routing_hook( + model="cheap-router", + request_kwargs={}, + messages=[{"role": "user", "content": "hi"}], + ) + premium_response = await r.async_pre_routing_hook( + model="premium-router", + request_kwargs={}, + messages=[{"role": "user", "content": "hi"}], + ) + + assert cheap_response is not None and cheap_response.model == "fast" + assert premium_response is not None and premium_response.model == "smart" + cheap.pick_model.assert_awaited_once() # type: ignore[union-attr] + premium.pick_model.assert_awaited_once() # type: ignore[union-attr] + + +def test_init_adaptive_router_rejects_duplicate_model_name(): + """Two adaptive-router deployments with the same model_name must error.""" + from litellm.types.router import AdaptiveRouterConfig, Deployment + + r = Router(model_list=[]) + cfg = {"available_models": ["fast"]} + deployment = Deployment( + model_name="dup-router", + litellm_params=LiteLLM_Params( + model="auto_router/adaptive_router", + adaptive_router_config=cfg, + ), + model_info={"id": "x"}, + ) + r.init_adaptive_router_deployment(deployment=deployment) + with pytest.raises(ValueError, match="already exists"): + r.init_adaptive_router_deployment(deployment=deployment) diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_signals.py b/tests/test_litellm/router_strategy/adaptive_router/test_signals.py new file mode 100644 index 00000000000..bf09b1b16ff --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_signals.py @@ -0,0 +1,112 @@ +import json +from pathlib import Path +from typing import List, Tuple + +import pytest + +from litellm.router_strategy.adaptive_router.config import TOOL_CALL_HISTORY_MAX +from litellm.router_strategy.adaptive_router.signals import ( + SessionState, + SignalDelta, + Turn, + apply_turn, +) + +FIXTURE_DIR = Path(__file__).parent / "fixtures" + + +def _load(name: str) -> list: + return json.loads((FIXTURE_DIR / f"{name}.json").read_text()) + + +def _replay(turns: list) -> Tuple[SessionState, List[SignalDelta]]: + state = SessionState( + session_id="s", + router_name="r", + model_name="m", + classified_type="general", + ) + deltas: List[SignalDelta] = [] + for t in turns: + deltas.append( + apply_turn( + state, + Turn( + user_content=t.get("user_content"), + assistant_content=t.get("assistant_content"), + tool_calls=t.get("tool_calls", []), + tool_results=t.get("tool_results", []), + response_status=t.get("response_status"), + ), + ) + ) + return state, deltas + + +def test_clean_satisfaction_fires_satisfaction_only(): + state, _ = _replay(_load("clean_satisfaction")) + assert state.satisfaction_count >= 1 + assert state.failure_count == 0 + assert state.disengagement_count == 0 + + +def test_misalignment_fires_on_rephrase(): + state, _ = _replay(_load("misalignment_rephrase")) + assert state.misalignment_count >= 1 + + +def test_stagnation_fires_on_repeated_assistant(): + state, _ = _replay(_load("stagnation_repeat")) + assert state.stagnation_count >= 1 + + +def test_disengagement_fires_on_giveup(): + state, _ = _replay(_load("disengagement_giveup")) + assert state.disengagement_count >= 1 + + +def test_failure_fires_on_tool_error(): + state, _ = _replay(_load("failure_tool_error")) + assert state.failure_count == 1 + + +def test_loop_fires_on_repeated_tool(): + state, _ = _replay(_load("loop_same_tool")) + assert state.loop_count >= 1 + + +@pytest.mark.parametrize("fixture", ["exhaustion_429", "exhaustion_context_overflow"]) +def test_exhaustion_fires_on_infra_signal(fixture): + state, _ = _replay(_load(fixture)) + assert state.exhaustion_count >= 1 + + +def test_no_signals_on_clean_session(): + state, _ = _replay(_load("clean_no_signals")) + assert state.misalignment_count == 0 + assert state.stagnation_count == 0 + assert state.disengagement_count == 0 + assert state.failure_count == 0 + assert state.loop_count == 0 + assert state.exhaustion_count == 0 + + +def test_mixed_failure_then_satisfaction(): + state, _ = _replay(_load("mixed_failure_then_satisfaction")) + assert state.failure_count >= 1 + assert state.satisfaction_count >= 1 + + +def test_apply_turn_is_o1_does_not_grow_history_unbounded(): + state = SessionState( + session_id="s", + router_name="r", + model_name="m", + classified_type="general", + ) + for i in range(100): + apply_turn( + state, + Turn(tool_calls=[{"name": f"tool_{i}", "arguments": {}}]), + ) + assert len(state.tool_call_history) <= TOOL_CALL_HISTORY_MAX diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_state_endpoint.py b/tests/test_litellm/router_strategy/adaptive_router/test_state_endpoint.py new file mode 100644 index 00000000000..80fa2dc8a57 --- /dev/null +++ b/tests/test_litellm/router_strategy/adaptive_router/test_state_endpoint.py @@ -0,0 +1,196 @@ +"""Tests for the GET /adaptive_router/state introspection endpoint and the +underlying `AdaptiveRouter.get_state_snapshot()` helper.""" + +import time +from unittest.mock import MagicMock + +import pytest +from fastapi import HTTPException + +from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth +from litellm.router_strategy.adaptive_router.adaptive_router import AdaptiveRouter +from litellm.router_strategy.adaptive_router.bandit import BanditCell, apply_delta +from litellm.types.router import ( + AdaptiveRouterConfig, + AdaptiveRouterPreferences, + RequestType, +) + + +def _make_router(name: str = "r1") -> AdaptiveRouter: + cfg = AdaptiveRouterConfig(available_models=["fast", "smart"]) + prefs = { + "fast": AdaptiveRouterPreferences(quality_tier=1, strengths=[]), + "smart": AdaptiveRouterPreferences( + quality_tier=3, strengths=[RequestType.CODE_GENERATION] + ), + } + costs = {"fast": 0.0001, "smart": 0.001} + return AdaptiveRouter( + router_name=name, + config=cfg, + model_to_prefs=prefs, + model_to_cost=costs, + ) + + +# ---- snapshot helper --------------------------------------------------- + + +@pytest.mark.asyncio +async def test_get_state_snapshot_returns_cell_per_request_type_per_model(): + r = _make_router() + snap = await r.get_state_snapshot() + + # Top-level shape + assert snap["router_name"] == "r1" + assert snap["available_models"] == ["fast", "smart"] + assert snap["weights"] == {"quality": 0.7, "cost": 0.3} + assert snap["model_costs"] == {"fast": 0.0001, "smart": 0.001} + assert snap["owner_cache_live"] == 0 + assert snap["skipped_updates_total"] == 0 + assert set(snap["queue"].keys()) == { + "state_pending", + "session_pending", + "max_state_seen", + "max_session_seen", + } + + # 7 request types x 2 models = 14 cells + assert len(snap["cells"]) == len(list(RequestType)) * 2 + for cell in snap["cells"]: + assert set(cell.keys()) == { + "request_type", + "model", + "alpha", + "beta", + "samples", + "quality_mean", + } + assert cell["model"] in {"fast", "smart"} + assert cell["request_type"] in {rt.value for rt in RequestType} + + +@pytest.mark.asyncio +async def test_get_state_snapshot_quality_mean_matches_alpha_over_total(): + r = _make_router() + + # Manually mutate one cell to a known state so the math is verifiable. + key = (RequestType.CODE_GENERATION, "smart") + r._cells[key] = apply_delta(r._cells[key], delta_alpha=10.0, delta_beta=0.0) + expected = r._cells[key] + expected_mean = expected.alpha / (expected.alpha + expected.beta) + + snap = await r.get_state_snapshot() + cell = next( + c + for c in snap["cells"] + if c["request_type"] == "code_generation" and c["model"] == "smart" + ) + assert cell["alpha"] == expected.alpha + assert cell["beta"] == expected.beta + assert cell["samples"] == expected.alpha + expected.beta + assert cell["quality_mean"] == pytest.approx(expected_mean) + + +@pytest.mark.asyncio +async def test_get_state_snapshot_counts_only_live_owner_cache_entries(): + r = _make_router() + now = time.time() + r._owner_cache["live-1"] = ("fast", now + 3600) + r._owner_cache["live-2"] = ("smart", now + 3600) + r._owner_cache["expired-1"] = ("fast", now - 1) + + snap = await r.get_state_snapshot() + assert snap["owner_cache_live"] == 2 + + +@pytest.mark.asyncio +async def test_get_state_snapshot_exposes_skipped_updates_total(): + r = _make_router() + r._skipped_updates_total = 7 + snap = await r.get_state_snapshot() + assert snap["skipped_updates_total"] == 7 + + +# ---- endpoint -------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_endpoint_returns_404_when_no_adaptive_router(monkeypatch): + """When llm_router is set but has no adaptive routers configured, return 404.""" + from litellm.proxy import proxy_server + + fake_router = MagicMock() + fake_router.adaptive_routers = {} + monkeypatch.setattr(proxy_server, "llm_router", fake_router) + + admin = UserAPIKeyAuth(api_key="sk-1234", user_role=LitellmUserRoles.PROXY_ADMIN) + with pytest.raises(HTTPException) as exc: + await proxy_server.get_adaptive_router_state(user_api_key_dict=admin) + assert exc.value.status_code == 404 + + +@pytest.mark.asyncio +async def test_endpoint_returns_404_when_llm_router_is_none(monkeypatch): + from litellm.proxy import proxy_server + + monkeypatch.setattr(proxy_server, "llm_router", None) + + admin = UserAPIKeyAuth(api_key="sk-1234", user_role=LitellmUserRoles.PROXY_ADMIN) + with pytest.raises(HTTPException) as exc: + await proxy_server.get_adaptive_router_state(user_api_key_dict=admin) + assert exc.value.status_code == 404 + + +@pytest.mark.asyncio +async def test_endpoint_rejects_non_admin_role(monkeypatch): + from litellm.proxy import proxy_server + + fake_router = MagicMock() + fake_router.adaptive_routers = {"r1": _make_router()} + monkeypatch.setattr(proxy_server, "llm_router", fake_router) + + non_admin = UserAPIKeyAuth( + api_key="sk-user", user_role=LitellmUserRoles.INTERNAL_USER + ) + with pytest.raises(HTTPException) as exc: + await proxy_server.get_adaptive_router_state(user_api_key_dict=non_admin) + assert exc.value.status_code == 403 + + +@pytest.mark.asyncio +async def test_endpoint_returns_snapshot_list_for_admin(monkeypatch): + """Single configured router still returns the {"routers": [...]} list shape.""" + from litellm.proxy import proxy_server + + fake_router = MagicMock() + fake_router.adaptive_routers = {"r1": _make_router("r1")} + monkeypatch.setattr(proxy_server, "llm_router", fake_router) + + admin = UserAPIKeyAuth(api_key="sk-1234", user_role=LitellmUserRoles.PROXY_ADMIN) + result = await proxy_server.get_adaptive_router_state(user_api_key_dict=admin) + assert list(result.keys()) == ["routers"] + assert len(result["routers"]) == 1 + snap = result["routers"][0] + assert snap["router_name"] == "r1" + assert snap["available_models"] == ["fast", "smart"] + assert len(snap["cells"]) == len(list(RequestType)) * 2 + + +@pytest.mark.asyncio +async def test_endpoint_returns_one_snapshot_per_router(monkeypatch): + """With multiple adaptive routers configured, return one snapshot per router.""" + from litellm.proxy import proxy_server + + fake_router = MagicMock() + fake_router.adaptive_routers = { + "r1": _make_router("r1"), + "r2": _make_router("r2"), + } + monkeypatch.setattr(proxy_server, "llm_router", fake_router) + + admin = UserAPIKeyAuth(api_key="sk-1234", user_role=LitellmUserRoles.PROXY_ADMIN) + result = await proxy_server.get_adaptive_router_state(user_api_key_dict=admin) + names = sorted(s["router_name"] for s in result["routers"]) + assert names == ["r1", "r2"] diff --git a/uv.lock b/uv.lock index c403884a04b..3accbc0303c 100644 --- a/uv.lock +++ b/uv.lock @@ -10,7 +10,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-04-13T16:35:18.496811Z" +exclude-newer = "2026-04-15T20:11:16.497522Z" exclude-newer-span = "P3D" [manifest] @@ -3767,7 +3767,7 @@ wheels = [ [[package]] name = "litellm" -version = "1.83.8" +version = "1.83.9" source = { editable = "." } dependencies = [ { name = "aiohttp" }, @@ -4114,7 +4114,7 @@ source = { editable = "enterprise" } [[package]] name = "litellm-proxy-extras" -version = "0.4.65" +version = "0.4.66" source = { editable = "litellm-proxy-extras" } [[package]] From 65a60dbe352a9c67e6d215d7392f02fc18100a06 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 19 Apr 2026 04:03:10 +0000 Subject: [PATCH 012/165] [Infra] CI: add UI drift guard + regenerate _experimental/out MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds a CI job that rebuilds the admin UI from source and fails if the committed static export at litellm/proxy/_experimental/out/ has drifted from what npm run build produces. This prevents silently shipping stale UI bytes and is a prerequisite for the non_root Dockerfile streamlining work, which will stage the UI from _experimental/out/ directly instead of rebuilding it inside the image. Also regenerates litellm/proxy/_experimental/out/ to match a fresh npm run build (Node 20.20.2) — the committed tree had drifted from source prior to this commit. 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.../out/virtual-keys/__next._full.txt | 2 +- .../out/virtual-keys/__next._head.txt | 2 +- .../out/virtual-keys/__next._index.txt | 2 +- .../out/virtual-keys/__next._tree.txt | 2 +- 326 files changed, 369 insertions(+), 322 deletions(-) create mode 100644 .github/workflows/ui-drift-guard.yml rename litellm/proxy/_experimental/out/_next/static/{3qyC5Vtvhd5fSC6sPp1iW => 8Gn6tA2K4jsPxzCCMwObH}/_buildManifest.js (100%) rename litellm/proxy/_experimental/out/_next/static/{3qyC5Vtvhd5fSC6sPp1iW => 8Gn6tA2K4jsPxzCCMwObH}/_clientMiddlewareManifest.json (100%) rename litellm/proxy/_experimental/out/_next/static/{3qyC5Vtvhd5fSC6sPp1iW => 8Gn6tA2K4jsPxzCCMwObH}/_ssgManifest.js (100%) diff --git a/.github/workflows/ui-drift-guard.yml b/.github/workflows/ui-drift-guard.yml new file mode 100644 index 00000000000..c43a741d28b --- /dev/null +++ b/.github/workflows/ui-drift-guard.yml @@ -0,0 +1,47 @@ +name: UI Drift Guard +permissions: + contents: read + +on: + pull_request: + branches: + - main + - litellm_internal_staging + - "litellm_**" + paths: + - "ui/litellm-dashboard/**" + - "litellm/proxy/_experimental/out/**" + - ".github/workflows/ui-drift-guard.yml" + +jobs: + verify-ui-output-fresh: + runs-on: ubuntu-latest + timeout-minutes: 15 + steps: + - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + with: + persist-credentials: false + + - uses: actions/setup-node@v4 + with: + node-version: "20.20.2" + cache: "npm" + cache-dependency-path: ui/litellm-dashboard/package-lock.json + + - name: Build UI + working-directory: ui/litellm-dashboard + run: | + npm ci --no-audit --no-fund + npm run build + + - name: Compare against committed _experimental/out + run: | + set -euo pipefail + ( cd ui/litellm-dashboard/out && find . -type f -exec sha256sum {} + ) | sort > /tmp/fresh.txt + ( cd litellm/proxy/_experimental/out && find . -type f -exec sha256sum {} + ) | sort > /tmp/committed.txt + if ! diff -u /tmp/committed.txt /tmp/fresh.txt > /tmp/drift.txt; then + echo "::error::UI output is stale. Regenerate litellm/proxy/_experimental/out/ from ui/litellm-dashboard/out/." + head -200 /tmp/drift.txt + exit 1 + fi + echo "UI output is fresh." diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404.html index c42980210ac..06ff193c743 100644 --- a/litellm/proxy/_experimental/out/404.html +++ b/litellm/proxy/_experimental/out/404.html @@ -1 +1 @@ -404: This page could not be found.LiteLLM Dashboard

404

This page could not be found.

\ No newline at end of file +404: This page could not be found.LiteLLM Dashboard

404

This page could not be found.

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diff --git a/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt b/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt index 3999932cd8b..49e481c6eae 100644 --- a/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt +++ b/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt @@ -1,4 +1,4 @@ :HL["/litellm-asset-prefix/_next/static/chunks/4e20891f2fd03463.css","style"] :HL["/litellm-asset-prefix/_next/static/chunks/ad532bdba5680b08.css","style"] :HL["/litellm-asset-prefix/_next/static/media/83afe278b6a6bb3c-s.p.3a6ba036.woff2","font",{"crossOrigin":"","type":"font/woff2"}] -0:{"buildId":"3qyC5Vtvhd5fSC6sPp1iW","tree":{"name":"","paramType":null,"paramKey":"","hasRuntimePrefetch":false,"slots":{"children":{"name":"(dashboard)","paramType":null,"paramKey":"(dashboard)","hasRuntimePrefetch":false,"slots":{"children":{"name":"virtual-keys","paramType":null,"paramKey":"virtual-keys","hasRuntimePrefetch":false,"slots":{"children":{"name":"__PAGE__","paramType":null,"paramKey":"__PAGE__","hasRuntimePrefetch":false,"slots":null,"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":true},"staleTime":300} +0:{"buildId":"8Gn6tA2K4jsPxzCCMwObH","tree":{"name":"","paramType":null,"paramKey":"","hasRuntimePrefetch":false,"slots":{"children":{"name":"(dashboard)","paramType":null,"paramKey":"(dashboard)","hasRuntimePrefetch":false,"slots":{"children":{"name":"virtual-keys","paramType":null,"paramKey":"virtual-keys","hasRuntimePrefetch":false,"slots":{"children":{"name":"__PAGE__","paramType":null,"paramKey":"__PAGE__","hasRuntimePrefetch":false,"slots":null,"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":true},"staleTime":300} From 004c6b1b3ecc1c87480ec1aa74f8273d1840a151 Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 19 Apr 2026 04:21:46 +0000 Subject: [PATCH 013/165] [Infra] Dockerfile.non_root: stage pre-built UI from _experimental/out The checked-in Next.js static export at litellm/proxy/_experimental/out/ is kept fresh by the UI Drift Guard CI workflow. Stage it directly instead of re-running npm ci + npm run build inside the image. This removes: nvm install, node 20.20.2 install, npm ci (801 pkgs), next build, and the resulting intermediate node_modules/out tree. Build time: ~6m25s -> ~2m (fuse-overlayfs DinD); image 6.57GB -> 5.0GB. Behavior parity verified: API endpoints, UI screenshots (all 10 routes pixel-perfect), and Trivy HIGH/CRITICAL CVE count (6 -> 5, one npm GHSA removed) all match or improve over baseline. Co-authored-by: yuneng-jiang --- docker/Dockerfile.non_root | 39 ++++++-------------------------------- 1 file changed, 6 insertions(+), 33 deletions(-) diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index 5451bff808d..fcfc901ae12 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -62,38 +62,12 @@ COPY . . # Set non-root flag for build time consistency ENV LITELLM_NON_ROOT=true -# Build Admin UI once and stage the static output for the runtime image. -# NOTE: .npmrc files (which may set ignore-scripts=true and min-release-age=3d) -# are temporarily renamed during npm install/ci so they don't block lifecycle -# scripts needed by the build. This is safe because npm ci installs from -# package-lock.json with pinned versions + integrity hashes. +# Stage the pre-built Admin UI from the checked-in Next.js static export. +# The UI Drift Guard CI workflow keeps _experimental/out/ in sync with ui/litellm-dashboard/ source. +# Restructure extensionless routes (foo.html -> foo/index.html) to match the layout +# proxy_server.py expects, and drop a readiness marker. RUN mkdir -p /var/lib/litellm/ui /var/lib/litellm/assets && \ - ([ -f /app/.npmrc ] && mv /app/.npmrc /app/.npmrc.bak || true) && \ - NVM_VERSION="v0.40.4" && \ - NVM_CHECKSUM="4b7412c49960c7d31e8df72da90c1fb5b8cccb419ac99537b737028d497aba4f" && \ - NODE_VERSION="v20.20.2" && \ - NVM_SCRIPT="/tmp/install-nvm.sh" && \ - curl -fsSL "https://raw.githubusercontent.com/nvm-sh/nvm/${NVM_VERSION}/install.sh" -o "$NVM_SCRIPT" && \ - echo "${NVM_CHECKSUM} ${NVM_SCRIPT}" | sha256sum -c - && \ - bash "$NVM_SCRIPT" && \ - export NVM_DIR="$HOME/.nvm" && \ - . "$NVM_DIR/nvm.sh" && \ - nvm install "${NODE_VERSION}" && \ - nvm use "${NODE_VERSION}" && \ - npm install -g npm@11.12.1 && \ - npm install -g node-gyp@12.2.0 && \ - ln -sf "$(npm root -g)/node-gyp" "$(npm root -g)/npm/node_modules/node-gyp" && \ - npm cache clean --force && \ - cd /app/ui/litellm-dashboard && \ - if [ -f "/app/enterprise/enterprise_ui/enterprise_colors.json" ]; then \ - cp /app/enterprise/enterprise_ui/enterprise_colors.json ./ui_colors.json; \ - fi && \ - ([ -f .npmrc ] && mv .npmrc .npmrc.bak || true) && \ - npm ci --no-audit --no-fund && \ - ([ -f .npmrc.bak ] && mv .npmrc.bak .npmrc || true) && \ - ([ -f /app/.npmrc.bak ] && mv /app/.npmrc.bak /app/.npmrc || true) && \ - npm run build && \ - cp -r /app/ui/litellm-dashboard/out/* /var/lib/litellm/ui/ && \ + cp -r /app/litellm/proxy/_experimental/out/. /var/lib/litellm/ui/ && \ cp /app/litellm/proxy/logo.jpg /var/lib/litellm/assets/logo.jpg && \ ( cd /var/lib/litellm/ui && \ for html_file in *.html; do \ @@ -103,8 +77,7 @@ RUN mkdir -p /var/lib/litellm/ui /var/lib/litellm/assets && \ mv "$html_file" "$folder_name/index.html"; \ fi; \ done && \ - touch .litellm_ui_ready ) && \ - cd /app/ui/litellm-dashboard && rm -rf ./out + touch .litellm_ui_ready ) RUN if [ "$PROXY_EXTRAS_SOURCE" = "published" ]; then \ uv sync --frozen --no-default-groups --no-editable \ From 924fa6a3bcbab498252a0a43c0ea50b6b78a847a Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Sat, 18 Apr 2026 21:29:39 -0700 Subject: [PATCH 014/165] feat: commit new adaptive routing --- docs/my-website/docs/adaptive_router.md | 149 ++++ docs/my-website/package-lock.json | 1 + docs/my-website/package.json | 1 + docs/my-website/sidebars.js | 1 + litellm/constants.py | 1 + .../router_strategy/adaptive_router/README.md | 8 +- .../adaptive_router/adaptive_router.py | 14 +- .../router_strategy/adaptive_router/bandit.py | 6 + .../router_strategy/adaptive_router/hooks.py | 44 +- scripts/adaptive_router_demo/README.md | 157 ++++ scripts/adaptive_router_demo/chat.html | 838 ++++++++++++++++++ scripts/adaptive_router_demo/dashboard.html | 635 +++++++++++++ scripts/adaptive_router_demo/eval.py | 271 ++++++ scripts/adaptive_router_demo/traffic.py | 227 +++++ 14 files changed, 2328 insertions(+), 25 deletions(-) create mode 100644 docs/my-website/docs/adaptive_router.md create mode 100644 scripts/adaptive_router_demo/README.md create mode 100644 scripts/adaptive_router_demo/chat.html create mode 100644 scripts/adaptive_router_demo/dashboard.html create mode 100644 scripts/adaptive_router_demo/eval.py create mode 100644 scripts/adaptive_router_demo/traffic.py diff --git a/docs/my-website/docs/adaptive_router.md b/docs/my-website/docs/adaptive_router.md new file mode 100644 index 00000000000..846060f20ef --- /dev/null +++ b/docs/my-website/docs/adaptive_router.md @@ -0,0 +1,149 @@ +# [BETA] Adaptive Router + +:::info + +Beta feature. Share feedback on [Discord](https://discord.gg/wuPM9dRgDw) or [Slack](https://join.slack.com/t/litellmossslack/shared_invite/zt-3o7nkuyfr-p_kbNJj8taRfXGgQI1~YyA). + +::: + +**Requirements:** LiteLLM Proxy with a Postgres database. Quality estimates are stored in Postgres and loaded on startup — without a database the router works but forgets everything learned on restart. + +You have a cheap model and an expensive one. You want to use the cheap one when it's good enough, and the expensive one when it actually matters — without hardcoding rules you'll spend months tuning. + +The adaptive router does this automatically. It tracks which model performs best for each type of request (code, writing, analysis, etc.) and routes accordingly, balancing quality against cost based on weights you control. + +## Quick start + +```yaml +model_list: + - model_name: gpt-4o + litellm_params: + model: openai/gpt-4o + model_info: + input_cost_per_token: 0.0000025 + adaptive_router_preferences: + quality_tier: 3 # 1=budget, 2=mid, 3=frontier + strengths: ["code_generation", "analytical_reasoning"] + + - model_name: gpt-4o-mini + litellm_params: + model: openai/gpt-4o-mini + model_info: + input_cost_per_token: 0.00000015 + adaptive_router_preferences: + quality_tier: 2 + strengths: ["factual_lookup"] + + - model_name: my-router + litellm_params: + model: adaptive_router/smart-router + adaptive_router_config: + available_models: ["gpt-4o", "gpt-4o-mini"] + weights: + quality: 0.7 # raise this if quality complaints; lower if bill too high + cost: 0.3 # must sum to 1.0 with quality +``` + +Route to it by setting `model` to your adaptive router's name: + +```bash +curl -X POST {{baseURL}}/v1/chat/completions \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $LITELLM_API_KEY" \ + -d '{ + "model": "my-router", + "messages": [ + {"role": "user", "content": "build me a python script that parses CSV"}, + {"role": "assistant", "content": "Here is a script using csv.DictReader..."}, + {"role": "user", "content": "now add error handling for missing files"}, + {"role": "assistant", "content": "Wrap the open() call in a try/except FileNotFoundError..."}, + {"role": "user", "content": "perfect, that worked. thanks!"} + ] + }' +``` + +The response includes an `x-litellm-adaptive-router-model` header telling you which model was actually picked. The "thanks!" turn fires a satisfaction signal — that's what moves the bandit. + +## Tuning cost vs. quality + +The `weights` are your main lever: + +| Goal | quality | cost | +|---|---|---| +| Minimize cost, quality is secondary | 0.3 | 0.7 | +| Balanced | 0.5 | 0.5 | +| Quality-first (default) | 0.7 | 0.3 | +| Quality non-negotiable | 0.9 | 0.1 | + +The router learns over time. For the first ~10 requests per model, it relies on the tiers you declared. After that, real performance data takes over. + +## Force a minimum quality tier per request + +If a specific request needs a frontier model regardless of cost, pass this header: + +``` +x-litellm-min-quality-tier: 3 +``` + +You can also pass `min_quality_tier` via request metadata instead of a header. + +## What's being learned + +The router classifies each request into one of 7 types and tracks how each model performs on each independently. A model that's great at factual lookup but poor at code will win factual requests and lose code requests — even if it's cheaper overall. + +| Type | Example | +|---|---| +| `code_generation` | "write me a Python sort function" | +| `code_understanding` | "explain what this function does" | +| `technical_design` | "how should I design this API?" | +| `analytical_reasoning` | "calculate the probability that..." | +| `writing` | "draft an email to my team about..." | +| `factual_lookup` | "what is the capital of France?" | +| `general` | anything else | + +[**See classifier code**](https://github.com/BerriAI/litellm/blob/litellm_adaptive_routing/litellm/router_strategy/adaptive_router/classifier.py) + +Learning signals are inspired by [Signals: Trajectory Sampling and Triage for Agentic Interactions](https://arxiv.org/pdf/2604.00356). + +## Inspect the current state + +``` +GET /adaptive_router/{router_name}/state +``` + +Returns current quality estimates per model per request type. Useful for understanding why a model is or isn't being picked. + +```json +{ + "routers": [ + { + "router_name": "smart-cheap-router", + "available_models": ["fast", "smart"], + "weights": { "quality": 0.7, "cost": 0.3 }, + "cells": [ + { + "request_type": "analytical_reasoning", + "model": "fast", + "quality_mean": 0.5, + "samples": 10.0 + }, + { + "request_type": "analytical_reasoning", + "model": "smart", + "quality_mean": 0.95, + "samples": 10.0 + } + ] + } + ] +} +``` + +`quality_mean` is the key number — it's the router's current estimate of how well that model handles that request type. `samples` counts how many real observations have moved the prior (starts at 10, the cold-start mass). + +## Known limitations + +- Latency isn't scored — a slow model can still win on quality + cost +- Signals are regex-based and English-biased — no LLM judge +- Hard cap of 200 observations per cell; no decay yet +- Once a model is picked for a session, other models' turns in that session don't contribute to learning diff --git a/docs/my-website/package-lock.json b/docs/my-website/package-lock.json index d14ca96cf5b..6d5878412e0 100644 --- a/docs/my-website/package-lock.json +++ b/docs/my-website/package-lock.json @@ -24,6 +24,7 @@ }, "devDependencies": { "@docusaurus/module-type-aliases": "3.8.1", + "ajv": "^8.18.0", "dotenv": "16.6.1" }, "engines": { diff --git a/docs/my-website/package.json b/docs/my-website/package.json index 73ff62dcb43..babbb924a66 100644 --- a/docs/my-website/package.json +++ b/docs/my-website/package.json @@ -30,6 +30,7 @@ }, "devDependencies": { "@docusaurus/module-type-aliases": "3.8.1", + "ajv": "^8.18.0", "dotenv": "16.6.1" }, "browserslist": { diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js index 6b97330d402..5f662916871 100644 --- a/docs/my-website/sidebars.js +++ b/docs/my-website/sidebars.js @@ -1052,6 +1052,7 @@ const sidebars = { }, items: [ "routing", + "adaptive_router", "scheduler", "proxy/auto_routing", "proxy/load_balancing", diff --git a/litellm/constants.py b/litellm/constants.py index e5f637e9f15..0021a18f145 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -164,6 +164,7 @@ MCP_STDIO_ALLOWED_COMMANDS: frozenset = frozenset( LITELLM_UI_ALLOW_HEADERS = [ "x-litellm-semantic-filter", "x-litellm-semantic-filter-tools", + "x-litellm-adaptive-router-model", ] # Gemini model-specific minimal thinking budget constants diff --git a/litellm/router_strategy/adaptive_router/README.md b/litellm/router_strategy/adaptive_router/README.md index b2b8a520898..6140fe8044d 100644 --- a/litellm/router_strategy/adaptive_router/README.md +++ b/litellm/router_strategy/adaptive_router/README.md @@ -88,6 +88,8 @@ Callers may pass header `x-litellm-min-quality-tier: 3` (or metadata key on the same `litellm.Router` raise at init. - **Bandit-delta mapping is unvalidated.** `_compute_bandit_delta` is a v0 guess; expect to retune after the first ~1000 sessions of real traffic. -- **`request_type` is classified per turn from the latest user message only.** - The first turn's classification doesn't carry forward; a multi-turn session - may shift bucket between turns. +- **`request_type` is classified per turn from the latest user message.** For + non-GENERAL turns, the current-turn type is used for bandit attribution (so + genuine mid-session topic shifts update the correct cell). For GENERAL turns + ("thanks!", "ok", "sounds good"), attribution falls back to the session's + original type to avoid misattributing closing pleasantries. diff --git a/litellm/router_strategy/adaptive_router/adaptive_router.py b/litellm/router_strategy/adaptive_router/adaptive_router.py index d73062ae96a..2f3adccad76 100644 --- a/litellm/router_strategy/adaptive_router/adaptive_router.py +++ b/litellm/router_strategy/adaptive_router/adaptive_router.py @@ -307,11 +307,21 @@ class AdaptiveRouter: d_alpha, d_beta = self._compute_bandit_delta(delta) print("CALLS D_ALPHA", d_alpha) if d_alpha != 0 or d_beta != 0: - cell_key = (request_type, model_name) + # For non-GENERAL turns, attribute to the current-turn classification + # so genuine mid-session topic shifts (e.g. code → math) update the + # correct cell. For GENERAL turns ("thanks!", "ok", "sounds good"), fall + # back to the session's original type so closing pleasantries don't + # misattribute the reward. + attribution_type = ( + request_type + if request_type != RequestType.GENERAL + else RequestType(state.classified_type) + ) + cell_key = (attribution_type, model_name) self._cells[cell_key] = apply_delta(self._cells[cell_key], d_alpha, d_beta) await self.queue.add_state_delta( self.router_name, - request_type.value, + attribution_type.value, model_name, d_alpha, d_beta, diff --git a/litellm/router_strategy/adaptive_router/bandit.py b/litellm/router_strategy/adaptive_router/bandit.py index cc473ac58e4..1ab96f0e952 100644 --- a/litellm/router_strategy/adaptive_router/bandit.py +++ b/litellm/router_strategy/adaptive_router/bandit.py @@ -52,6 +52,12 @@ def initial_cell( capped at 0.95 to avoid an over-confident prior. Total mass = COLD_START_MASS so that ~10 real observations can move it noticeably. """ + if prefs.quality_tier not in BASE_TIER_WEIGHT: + valid = sorted(BASE_TIER_WEIGHT) + raise ValueError( + f"quality_tier={prefs.quality_tier} is not supported; " + f"valid tiers are {valid}" + ) base = BASE_TIER_WEIGHT[prefs.quality_tier] bonus = STRENGTH_BONUS if request_type in prefs.strengths else 0.0 mean = min(0.95, base + bonus) diff --git a/litellm/router_strategy/adaptive_router/hooks.py b/litellm/router_strategy/adaptive_router/hooks.py index 05932664eed..ddcb135e1a4 100644 --- a/litellm/router_strategy/adaptive_router/hooks.py +++ b/litellm/router_strategy/adaptive_router/hooks.py @@ -44,10 +44,12 @@ def _resolve_session_key(kwargs: Dict[str, Any]) -> Optional[str]: 1. Honor a client-supplied session id (`litellm_session_id` on either `litellm_params` or `litellm_params.metadata`, or `session_id` on metadata) — backward compat for callers already wired up. - 2. Otherwise derive a sha256 over (identity fields, first message) so - the key is stable across turns of the same conversation. + 2. Otherwise derive a sha256 over (identity fields, first + SIGNAL_GATE_MIN_MESSAGES messages) so the key is stable across turns + and only materialises once there is enough context for the bandit to + act on (matching the gate in the signal-processing path). - Returns None if there are no messages (nothing to attribute). + Returns None if the conversation is shorter than SIGNAL_GATE_MIN_MESSAGES. """ litellm_params = kwargs.get("litellm_params") or {} sid = litellm_params.get("litellm_session_id") @@ -60,19 +62,22 @@ def _resolve_session_key(kwargs: Dict[str, Any]) -> Optional[str]: return str(sid) messages = kwargs.get("messages") or [] - if not messages: + if len(messages) < SIGNAL_GATE_MIN_MESSAGES: + # Don't attribute until we have enough turns to match the signal gate — + # ensures the hash is stable (same N messages every time) and avoids + # crediting the bandit for conversations that are too short to signal. return None identity = ":".join( str(metadata.get(f) or "") if isinstance(metadata, dict) else "" for f in _IDENTITY_FIELDS ) - first = messages[0] + anchor = messages[:SIGNAL_GATE_MIN_MESSAGES] payload = ( identity + "|" + json.dumps( - {"role": first.get("role"), "content": first.get("content")}, + [{"role": m.get("role"), "content": m.get("content")} for m in anchor], sort_keys=True, default=str, ) @@ -140,20 +145,23 @@ class AdaptiveRouterPostCallHook(CustomLogger): def __init__(self, adaptive_router: AdaptiveRouter) -> None: self.adaptive_router = adaptive_router - async def async_post_call_success_hook( + async def async_post_call_response_headers_hook( self, data: Dict[str, Any], user_api_key_dict: Any, response: Any, - ) -> None: + request_headers: Optional[Dict[str, str]] = None, + litellm_call_info: Optional[Dict[str, Any]] = None, + ) -> Optional[Dict[str, str]]: """ - Surface the chosen logical model picked by the pre-routing hook as the - `x-litellm-adaptive-router-model` response header. + Surface the chosen logical model as the `x-litellm-adaptive-router-model` + response header for both streaming and non-streaming responses. - The chosen model is stashed on `data["metadata"]` by - `AdaptiveRouter.async_pre_routing_hook`. The proxy awaits this hook - before reading `_hidden_params["additional_headers"]` for the outgoing - HTTP response, so any value we write here flows through. + `async_post_call_success_hook` fires after the stream is fully consumed, + so writing to `_hidden_params["additional_headers"]` there is too late for + streaming — the StreamingResponse headers are already frozen. This hook is + called during header construction (before StreamingResponse is built), so + the header is included for both paths. """ metadata = data.get("metadata") or {} chosen = ( @@ -162,12 +170,8 @@ class AdaptiveRouterPostCallHook(CustomLogger): else None ) if not chosen: - return - hidden_params = getattr(response, "_hidden_params", None) - if not isinstance(hidden_params, dict): - return - hidden_params.setdefault("additional_headers", {}) - hidden_params["additional_headers"][ADAPTIVE_ROUTER_RESPONSE_HEADER] = chosen + return None + return {ADAPTIVE_ROUTER_RESPONSE_HEADER: chosen} async def async_log_success_event(self, kwargs, response_obj, start_time, end_time): await self._record(kwargs, response_obj, response_status=200) diff --git a/scripts/adaptive_router_demo/README.md b/scripts/adaptive_router_demo/README.md new file mode 100644 index 00000000000..1965dbbf168 --- /dev/null +++ b/scripts/adaptive_router_demo/README.md @@ -0,0 +1,157 @@ +# Adaptive Router — Live Demo + +A 5-minute demo of LiteLLM's adaptive router learning, in real time, that +the smart model wins for code while the fast model is fine for facts. + +``` +┌─ traffic.py ──┐ ┌─ litellm proxy ──────────┐ ┌─ dashboard.html ─┐ +│ synthetic │──▶│ adaptive_router strategy │──▶│ bandit bars + │ +│ chat sessions │ │ /adaptive_router/state │ │ cost meter + │ +└───────────────┘ └──────────┬───────────────┘ │ activity log │ + │ └───────────────────┘ + ┌─────────▼───────────┐ + │ chat.html │ + │ interactive chat │ + │ with preset │ + │ scenarios │ + └─────────────────────┘ +``` + +## Files + +| File | What it does | +|---|---| +| `dashboard.html` | Live bandit dashboard — polls `/adaptive_router/state` every 500ms | +| `chat.html` | Interactive chat with preset scenarios — sends real requests through the router | +| `traffic.py` | Synthetic traffic generator — drives labeled sessions for automated demo | + +## What you're watching + +- **Bandit posteriors** — one Beta(α, β) bar per `(request_type, model)` + cell. Bars fill up as α grows from positive feedback signals. +- **Pick share** — softmax estimate of how often the router would currently + pick each model for that request type. +- **Cost meter** — total spend so far compared to "always use the most + expensive model". The savings line is the headline number. +- **Activity log** — every signal that moves the bandit, in real time. + +## 1. Start the proxy + +The repo ships with a working example config: + +```bash +export OPENAI_API_KEY=sk-... # underlying models hit OpenAI +uv run litellm \ + --config litellm/proxy/example_config_yaml/adaptive_router_example.yaml \ + --port 4000 +``` + +`DATABASE_URL` is optional — the proxy falls back to a bundled Neon dev DB. +Wait ~15s until you see `Application startup complete`. + +## 2. Chat interactively with the router + +Open `chat.html` in a browser (same `file://` or `python3 -m http.server` approach as the dashboard): + +- Click **Connect** after filling in the proxy URL and API key. +- Pick a preset scenario: + - **🐛 Debug my code** — paste broken code and get a fix + - **💡 Brainstorm a feature** — ideate on a product capability + - **📚 Explain a concept** — get a clear technical explanation + - **✍️ Write something** — draft emails, docs, or any prose +- A starter message is pre-filled — edit it or send as-is. +- Each response shows which model the router picked and the inferred request type (from the `x-litellm-adaptive-router-model` and `x-litellm-request-type` response headers). +- A sidebar gate indicator tells you when the session has accumulated enough messages for the bandit to start updating (4+ turns). + +> **Note on headers:** The model/type headers are only readable in the browser if the proxy sets `Access-Control-Expose-Headers`. LiteLLM defaults to exposing them. If the info panel shows `check dashboard`, the router still works — you can verify picks in `dashboard.html`. + +## 4. Open the dashboard + +The dashboard is a single static HTML file. Either: + +- **Easy:** double-click `dashboard.html`. Most browsers will load it from + `file://` and the LiteLLM proxy's CORS defaults (`*`) will accept it. +- **If your browser blocks `file://` fetches:** + + ```bash + cd scripts/adaptive_router_demo + python3 -m http.server 8080 + ``` + + Then open . + +In the connect bar, fill in: + +- **Proxy URL:** `http://localhost:4000` +- **Master Key:** the `master_key` from your config (`sk-1234` in the example). + +Click **Connect**. The dashboard polls `GET /adaptive_router/state` every +500ms (admin-only endpoint, returns one snapshot per configured router). + +## 5. Drive synthetic traffic + +In a second terminal: + +```bash +uv run python scripts/adaptive_router_demo/traffic.py \ + --proxy-url http://localhost:4000 \ + --api-key sk-1234 \ + --router smart-cheap-router \ + --rounds 100 \ + --rate 0.5 +``` + +What it does: + +- Picks a random `(request_type, prompt)` per round from a small labeled corpus. +- Sends a 5-message conversation (passes the `SIGNAL_GATE_MIN_MESSAGES=4` gate + in one round-trip) so the post-call hook runs and updates the bandit. +- Reads the `x-litellm-adaptive-router-model` response header to see what + the router picked. +- Rolls Bernoulli against a hard-coded oracle: + ``` + code_generation : smart=0.92 fast=0.35 + factual_lookup : smart=0.90 fast=0.85 + writing : smart=0.85 fast=0.55 + ``` +- On success → sends a follow-up engineered to match the satisfaction + regex (and re-classify into the same type). Bandit cell gets +α. +- On failure → sends a neutral follow-up. No signal fires. + +After 50–80 rounds you'll see `code_generation` decisively favor `smart` +while `factual_lookup` stays near a coin flip — the router learned the +asymmetry from the oracle. + +## Tuning knobs + +| Knob | Where | What changes | +|---|---|---| +| Quality vs. cost weight | `adaptive_router_config.weights` in proxy yaml | Bias toward quality or savings | +| Per-cell cold-start mass | `litellm/router_strategy/adaptive_router/config.py` `COLD_START_MASS` | How long until the prior is overwritten | +| Avg tokens per request | dashboard input box | How the cost meter estimates spend | +| Oracle | `traffic.py` `ORACLE` dict | Which model "should" win for which type | +| Sessions to drive | `--rounds` | Total learning budget | +| Throttle | `--rate` | Seconds between sessions | + +## Multi-router + +If your proxy has more than one `auto_router/adaptive_router` deployment, +the dashboard shows a router dropdown above the bars. Each router is +independent; the cost meter is per-router (and resets when you switch). + +## Troubleshooting + +- **"Disconnected" / HTTP 401 in the dashboard** — wrong master key. +- **HTTP 403** — your key isn't `proxy_admin`. The state endpoint is + admin-only. Use the master key. +- **HTTP 404 from `/adaptive_router/state`** — proxy started, but no + `auto_router/adaptive_router` deployment is in the model list. +- **Bars don't move** — check the proxy logs for `record_turn` activity. + Common cause: requests are not including 4+ messages, so the signal + gate skips them. `traffic.py` already builds 5-message conversations, + so this only happens if you've changed the script. +- **Cost meter stays at $0** — your model deployments don't have + `input_cost_per_token` set in `litellm_params`. Add it. +- **CORS error in the dashboard console** — set `LITELLM_CORS_ORIGINS=*` + on the proxy (the default), or serve `dashboard.html` from + `python3 -m http.server` instead of `file://`. diff --git a/scripts/adaptive_router_demo/chat.html b/scripts/adaptive_router_demo/chat.html new file mode 100644 index 00000000000..9e7237847c0 --- /dev/null +++ b/scripts/adaptive_router_demo/chat.html @@ -0,0 +1,838 @@ + + + + + Adaptive Router — Chat + + + + +
+

⚡ Adaptive Router — Chat

+ Disconnected + → Open live dashboard +
+ +
+ + + + +
+ +
+ + + + + +
+ +
+
+
+
+

Pick a scenario to start

+

Choose one of the presets above or connect to the proxy and type your own message. The adaptive router will pick the best model for each turn.

+
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+
+
+ + +
+
Connect first to start chatting.
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+ + +
+ + + + + diff --git a/scripts/adaptive_router_demo/dashboard.html b/scripts/adaptive_router_demo/dashboard.html new file mode 100644 index 00000000000..6652aa19805 --- /dev/null +++ b/scripts/adaptive_router_demo/dashboard.html @@ -0,0 +1,635 @@ + + + + + Adaptive Router — Live + + + + +
+

⚡ Adaptive Router — Live

+ Disconnected + +
+ +
+ + + + + + +
+ +
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+

How well each model performs, by request type

+
+ Each bar shows the fraction of recent feedback that was positive + for that model on that kind of request. Wider = better. The number + next to it ("N signals") is how much real feedback the bar is + based on — more signals means the router is more confident. + It picks higher-quality bars first, with cost as a tiebreaker. +
+
Connect to see live bandit state.
+
+ + +
+ + + + + diff --git a/scripts/adaptive_router_demo/eval.py b/scripts/adaptive_router_demo/eval.py new file mode 100644 index 00000000000..b02e4a37d31 --- /dev/null +++ b/scripts/adaptive_router_demo/eval.py @@ -0,0 +1,271 @@ +# ruff: noqa: T201 +""" +Adaptive router evaluator — LLM-as-judge harness. + +For each test case: + 1. Sends the prompt to the adaptive router. + 2. Reads which model was picked (x-litellm-adaptive-router-model header). + 3. Asks the judge model whether the response meets the ideal criteria. + 4. Prints PASS or FAIL with one line of reasoning. + +Run: + uv run python scripts/adaptive_router_demo/eval.py \ + --proxy-url http://localhost:4000 \ + --api-key sk-1234 \ + --router smart-cheap-router \ + --judge-model smart +""" + +from __future__ import annotations + +import argparse +import asyncio +import sys +import uuid +from dataclasses import dataclass +from typing import Dict, List, Optional, Tuple + +import httpx + + +# --------------------------------------------------------------------------- +# Test cases +# --------------------------------------------------------------------------- +@dataclass +class EvalCase: + category: str + prompt: str + ideal: str # criteria the judge checks the response against + + +EVAL_CASES: List[EvalCase] = [ + # code_generation + EvalCase( + category="code_generation", + prompt="Write a Python function that flattens a nested list of arbitrary depth.", + ideal=( + "A Python function (def flatten(...)) that accepts a list which may " + "contain nested lists to arbitrary depth and returns a single flat list " + "with all elements in order. Must handle at least two levels of nesting." + ), + ), + EvalCase( + category="code_generation", + prompt="Write a Python decorator that retries a function up to 3 times on exception.", + ideal=( + "A Python decorator that wraps a callable, catches exceptions, and " + "retries the call up to 3 times before re-raising. Should use functools.wraps " + "or equivalent to preserve the wrapped function's metadata." + ), + ), + EvalCase( + category="code_generation", + prompt="Write a SQL query that returns the top 5 customers by total order value.", + ideal=( + "A valid SQL SELECT query that JOINs an orders or order_items table with a " + "customers table, groups by customer, sums order value, orders descending, " + "and limits to 5 rows." + ), + ), + # factual_lookup + EvalCase( + category="factual_lookup", + prompt="What is the capital of New Zealand?", + ideal="The answer must state Wellington as the capital of New Zealand.", + ), + EvalCase( + category="factual_lookup", + prompt="In what year did World War II end?", + ideal="The answer must state 1945 as the year World War II ended.", + ), + EvalCase( + category="factual_lookup", + prompt="What is the chemical symbol for gold?", + ideal="The answer must include 'Au' as the chemical symbol for gold.", + ), + # writing + EvalCase( + category="writing", + prompt=( + "Write a short, polite email declining a meeting request because of " + "a scheduling conflict." + ), + ideal=( + "A professional email that: (1) thanks the sender for the invitation, " + "(2) clearly declines, (3) mentions a scheduling conflict as the reason, " + "and (4) offers to reschedule or an alternative. Tone must be polite." + ), + ), + EvalCase( + category="writing", + prompt="Write a one-paragraph product description for noise-cancelling headphones.", + ideal=( + "A marketing paragraph for noise-cancelling headphones that mentions " + "noise cancellation as a feature, highlights at least one other benefit " + "(comfort, audio quality, battery life, or similar), and ends with a " + "persuasive call to action or closing statement." + ), + ), +] + +# Matches the satisfaction regex in signals.py (_SATISFACTION_PATTERNS). +SATISFY_FOLLOWUP = "great, thanks!" +NEUTRAL_FOLLOWUP = "ok, noted" +FAB_ASSISTANT = "Got it. Working on that now." + +JUDGE_SYSTEM = ( + "You are a strict but fair evaluator. Your job is to decide whether a model " + "response meets the stated requirements. Reply with exactly two lines:\n" + "Line 1: PASS or FAIL\n" + "Line 2: One sentence of reasoning (≤ 25 words)." +) + + +def _judge_user(prompt: str, ideal: str, actual: str) -> str: + return ( + f"Question sent to model:\n{prompt}\n\n" + f"Requirements the response must meet:\n{ideal}\n\n" + f"Actual model response:\n{actual}\n\n" + "Does the response meet the requirements? Reply PASS or FAIL." + ) + + +# --------------------------------------------------------------------------- +# HTTP helpers +# --------------------------------------------------------------------------- +async def _chat( + client: httpx.AsyncClient, + proxy_url: str, + api_key: str, + model: str, + messages: List[Dict[str, str]], + session_id: Optional[str] = None, +) -> Tuple[str, str]: + """ + Returns (response_text, chosen_model_header). + chosen_model_header is empty for non-router calls. + """ + body: Dict = {"model": model, "messages": messages} + if session_id: + body["metadata"] = {"litellm_session_id": session_id} + + resp = await client.post( + f"{proxy_url}/v1/chat/completions", + json=body, + headers={"Authorization": f"Bearer {api_key}"}, + timeout=60.0, + ) + resp.raise_for_status() + data = resp.json() + text = data["choices"][0]["message"]["content"] + chosen = resp.headers.get("x-litellm-adaptive-router-model", "") + return text, chosen + + +# --------------------------------------------------------------------------- +# Evaluation loop +# --------------------------------------------------------------------------- +async def evaluate( + proxy_url: str, + api_key: str, + router: str, + judge_model: str, +) -> None: + passed = 0 + failed = 0 + + async with httpx.AsyncClient() as client: + for i, case in enumerate(EVAL_CASES, 1): + print(f"\n[{i}/{len(EVAL_CASES)}] category={case.category}") + print(f" prompt : {case.prompt[:80]}{'…' if len(case.prompt) > 80 else ''}") + + session_id = f"eval-{uuid.uuid4()}" + + # Round 1: single-turn real request — get the actual LLM response to judge. + try: + response, chosen = await _chat( + client, proxy_url, api_key, router, + [{"role": "user", "content": case.prompt}], + session_id=session_id, + ) + except Exception as exc: # noqa: BLE001 + print(f" ERROR calling router: {exc}", file=sys.stderr) + failed += 1 + continue + + print(f" model : {chosen or router}") + print(f" response : {response[:120].replace(chr(10), ' ')}{'…' if len(response) > 120 else ''}") + + # Judge the real response. + judge_msgs = [ + {"role": "system", "content": JUDGE_SYSTEM}, + {"role": "user", "content": _judge_user(case.prompt, case.ideal, response)}, + ] + try: + verdict, _ = await _chat( + client, proxy_url, api_key, judge_model, judge_msgs, + ) + except Exception as exc: # noqa: BLE001 + print(f" ERROR calling judge: {exc}", file=sys.stderr) + failed += 1 + continue + + # Parse verdict — first non-empty line should be PASS or FAIL. + lines = [ln.strip() for ln in verdict.splitlines() if ln.strip()] + first = lines[0].upper() if lines else "" + reason = lines[1] if len(lines) > 1 else "" + is_pass = "PASS" in first + + if is_pass: + passed += 1 + print(f" verdict : \033[32mPASS\033[0m {reason}") + else: + failed += 1 + print(f" verdict : \033[31mFAIL\033[0m {reason}") + + # Round 2: 5-message conversation on the same session_id so the bandit fires. + # On PASS → satisfaction follow-up (+alpha). On FAIL → neutral (no signal). + follow_up = SATISFY_FOLLOWUP if is_pass else NEUTRAL_FOLLOWUP + bandit_msgs = [ + {"role": "user", "content": case.prompt}, + {"role": "assistant", "content": response}, + {"role": "user", "content": "ok continue"}, + {"role": "assistant", "content": FAB_ASSISTANT}, + {"role": "user", "content": follow_up}, + ] + try: + await _chat( + client, proxy_url, api_key, router, bandit_msgs, + session_id=session_id, + ) + except Exception as exc: # noqa: BLE001 + print(f" WARNING: bandit update failed: {exc}", file=sys.stderr) + + total = passed + failed + print(f"\n{'='*60}") + print(f"Results: {passed}/{total} passed ({failed} failed)") + if passed == total: + print("All test cases passed — the adaptive router is working well!") + elif passed >= total * 0.8: + print("Most test cases passed — minor issues to investigate.") + else: + print("Significant failures — check router config and model availability.") + print("=" * 60) + + +# --------------------------------------------------------------------------- +# Entry point +# --------------------------------------------------------------------------- +def main() -> None: + ap = argparse.ArgumentParser(description="Evaluate the adaptive router with LLM-as-judge.") + ap.add_argument("--proxy-url", default="http://localhost:4000") + ap.add_argument("--api-key", required=True, help="proxy API key") + ap.add_argument("--router", default="smart-cheap-router", help="adaptive router model name") + ap.add_argument("--judge-model", default="smart", help="model name for the judge (via proxy)") + args = ap.parse_args() + + asyncio.run(evaluate(args.proxy_url, args.api_key, args.router, args.judge_model)) + + +if __name__ == "__main__": + main() diff --git a/scripts/adaptive_router_demo/traffic.py b/scripts/adaptive_router_demo/traffic.py new file mode 100644 index 00000000000..eae5506eaee --- /dev/null +++ b/scripts/adaptive_router_demo/traffic.py @@ -0,0 +1,227 @@ +""" +Synthetic traffic generator for the adaptive_router demo dashboard. + +What it does: + - Sends labeled multi-turn chat requests to the proxy's adaptive router. + - For each turn, peeks at the `x-litellm-adaptive-router-model` response + header to learn which underlying model was picked. + - Draws a Bernoulli outcome from a hard-coded ORACLE table that says + "model M succeeds at request type T with probability p". + - Sends a final follow-up turn whose user message is engineered to + BOTH classify into the same RequestType AND match the + satisfaction regex on success (so the bandit's `(type, model)` cell + gets +alpha). On failure we send a neutral follow-up so no signal + fires — over time, models the oracle favors accumulate alpha faster. + +Why this shape: + - The post-call hook gates signal recording on len(messages) >= 4. + A single 5-message request passes the gate in one round-trip, which + keeps the demo cheap. + - Mock responses (`mock_response=...`) skip the real LLM call but still + flow through routing + post-call hooks, so no API keys / no spend. + +Run: + uv run python scripts/adaptive_router_demo/traffic.py \\ + --proxy-url http://localhost:4000 \\ + --api-key sk-1234 \\ + --router smart-cheap-router \\ + --rounds 100 \\ + --rate 0.5 + +Open `dashboard.html` in a browser alongside this and watch the bars move. +""" + +from __future__ import annotations + +import argparse +import asyncio +import random +import sys +import uuid +from typing import Dict, List, Tuple + +import httpx + +# ---- prompts (paired with the RequestType the classifier will assign) ---- +# Each prompt is engineered to (a) classify into the listed type and (b) make +# sense as a user request. Keep prompts short to limit token cost. +PROMPTS: Dict[str, List[str]] = { + "code_generation": [ + "Write a Python function that flattens a nested list", + "Create a TypeScript function that debounces another function", + "Build a Rust function that parses a CSV string", + "Generate a SQL function that returns running totals", + ], + "factual_lookup": [ + "What is the capital of New Zealand?", + "When was the Treaty of Westphalia signed?", + "Who is the current Secretary General of the UN?", + "Where is Mount Kilimanjaro located?", + ], + "writing": [ + "Write an email declining a meeting politely", + "Draft a paragraph introducing a product launch", + "Compose a short blog post about morning routines", + "Rewrite this sentence to be more concise: ...", + ], +} + +# Engineered satisfaction follow-ups — each one is designed to: +# (1) match the satisfaction regex (thanks/great/works/perfect/etc.), AND +# (2) re-classify into the SAME RequestType as the first prompt +# so that signals attribute to the right (type, model) bandit cell. +SATISFY: Dict[str, str] = { + "code_generation": "thanks, that works! now write me a python function that does the inverse", + "factual_lookup": "perfect, thanks! who is the current prime minister?", + "writing": "great, thanks! now write a follow-up email confirming attendance", +} + +# Neutral follow-up — does not match any signal regex, does not move the bandit. +NEUTRAL_FOLLOWUP = "ok, noted" + +# Oracle: P(success | request_type, model). Tunable. +# Defaults: smart dominates code/writing; both are fine for factual_lookup. +ORACLE: Dict[str, Dict[str, float]] = { + "code_generation": {"smart": 0.92, "fast": 0.35}, + "factual_lookup": {"smart": 0.90, "fast": 0.85}, + "writing": {"smart": 0.85, "fast": 0.55}, +} + +# Fabricated assistant turn — content doesn't matter for the hook, only the role. +FAB_ASSISTANT = "Got it. Working on that now." + + +def _build_messages(prompt: str, last_user: str) -> List[Dict[str, str]]: + """5-message conversation that passes the SIGNAL_GATE_MIN_MESSAGES=4 gate.""" + return [ + {"role": "user", "content": prompt}, + {"role": "assistant", "content": FAB_ASSISTANT}, + {"role": "user", "content": "ok continue"}, + {"role": "assistant", "content": FAB_ASSISTANT}, + {"role": "user", "content": last_user}, + ] + + +async def _send( + client: httpx.AsyncClient, + proxy_url: str, + api_key: str, + router: str, + session_id: str, + messages: List[Dict[str, str]], + mock_response: str, +) -> Tuple[bool, str]: + """Returns (ok, chosen_model).""" + body = { + "model": router, + "messages": messages, + "metadata": {"litellm_session_id": session_id}, + "mock_response": mock_response, + } + try: + r = await client.post( + f"{proxy_url}/v1/chat/completions", + json=body, + headers={"Authorization": f"Bearer {api_key}"}, + timeout=15.0, + ) + r.raise_for_status() + except Exception as e: # noqa: BLE001 + print(f" request failed: {e}", file=sys.stderr) + return False, "" + chosen = r.headers.get("x-litellm-adaptive-router-model", "") + return True, chosen + + +async def _drive_one_session( + client: httpx.AsyncClient, + proxy_url: str, + api_key: str, + router: str, + request_type: str, + prompt: str, +) -> str: + """Run one labeled session. Returns the chosen model (for logging).""" + session_id = f"demo-{uuid.uuid4()}" + + # Send the engineered 5-message conversation. The follow-up is chosen + # AFTER we observe what model the router would pick — but since the + # router is sticky-per-session, the model on this single round-trip + # IS the model we're crediting. + # + # Pre-decide success based on the oracle for whichever model gets picked. + # We can't know the pick before sending, so: send a neutral follow-up + # first to learn the pick, then send a second round with credit attached. + # + # Round 1: neutral follow-up → no signal fires, but we learn the pick. + ok, chosen = await _send( + client, proxy_url, api_key, router, session_id, + _build_messages(prompt, NEUTRAL_FOLLOWUP), + mock_response=FAB_ASSISTANT, + ) + if not ok or not chosen: + return "" + + # Decide outcome from oracle. + p = ORACLE.get(request_type, {}).get(chosen, 0.5) + success = random.random() < p + follow_up = SATISFY[request_type] if success else NEUTRAL_FOLLOWUP + + # Round 2: include the round-1 turns + a new follow-up. On success the + # follow-up matches satisfaction → +alpha for (request_type, chosen). + history = _build_messages(prompt, NEUTRAL_FOLLOWUP) + [ + {"role": "assistant", "content": FAB_ASSISTANT}, + {"role": "user", "content": follow_up}, + ] + await _send( + client, proxy_url, api_key, router, session_id, history, + mock_response=FAB_ASSISTANT, + ) + return chosen + + +async def main() -> None: + ap = argparse.ArgumentParser() + ap.add_argument("--proxy-url", default="http://localhost:4000") + ap.add_argument("--api-key", required=True, help="proxy key with /v1/chat/completions perms") + ap.add_argument("--router", default="smart-cheap-router") + ap.add_argument("--rounds", type=int, default=100) + ap.add_argument("--rate", type=float, default=0.5, + help="seconds between sessions; lower = faster") + ap.add_argument("--types", default="code_generation,factual_lookup,writing", + help="comma-separated subset of request types to drive") + args = ap.parse_args() + + types = [t.strip() for t in args.types.split(",") if t.strip() in PROMPTS] + if not types: + print(f"ERROR: no valid types. Choose from: {list(PROMPTS)}", file=sys.stderr) + sys.exit(2) + + print(f"driving {args.rounds} sessions across types: {types}") + print(f"oracle: {ORACLE}") + print(f"proxy: {args.proxy_url} router: {args.router}\n") + + counts: Dict[Tuple[str, str], int] = {} + async with httpx.AsyncClient() as client: + for i in range(args.rounds): + rt = random.choice(types) + prompt = random.choice(PROMPTS[rt]) + chosen = await _drive_one_session( + client, args.proxy_url, args.api_key, args.router, rt, prompt, + ) + if chosen: + counts[(rt, chosen)] = counts.get((rt, chosen), 0) + 1 + if (i + 1) % 10 == 0: + summary = ", ".join( + f"{rt}/{m}={n}" for (rt, m), n in sorted(counts.items()) + ) + print(f" round {i + 1}/{args.rounds} picks: {summary}") + await asyncio.sleep(args.rate) + + print("\nfinal pick distribution:") + for (rt, m), n in sorted(counts.items()): + print(f" {rt:22s} → {m:8s} {n}") + + +if __name__ == "__main__": + asyncio.run(main()) From 70caf5aec0bb4210df3f3c1504d04ed722a5034e Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Sat, 18 Apr 2026 21:31:53 -0700 Subject: [PATCH 015/165] docs: update docs --- docs/my-website/docs/adaptive_router.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/docs/my-website/docs/adaptive_router.md b/docs/my-website/docs/adaptive_router.md index 846060f20ef..61007e98e76 100644 --- a/docs/my-website/docs/adaptive_router.md +++ b/docs/my-website/docs/adaptive_router.md @@ -62,7 +62,13 @@ curl -X POST {{baseURL}}/v1/chat/completions \ }' ``` -The response includes an `x-litellm-adaptive-router-model` header telling you which model was actually picked. The "thanks!" turn fires a satisfaction signal — that's what moves the bandit. +The response includes a header telling you which model was actually picked: + +``` +x-litellm-adaptive-router-model: gpt-4o +``` + +The "thanks!" turn in the example above fires a satisfaction signal — that's what moves the bandit. ## Tuning cost vs. quality From 78485f5a3239dbcd0c12e83ecb0c3bb939b731ec Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 19 Apr 2026 05:11:06 +0000 Subject: [PATCH 016/165] [Infra] Dockerfile.non_root: remove unused npm from runtime stage npm was installed in the runtime only to globally install vulnerability patched versions of tar/glob/brace-expansion/minimatch/diff and to in-place rewrite npm's own bundled package.json. Both were to silence CVE scanners against modules that ship with npm itself. Since we no longer run npm anywhere in the runtime (Prisma uses the node binary directly for migrate deploy and generate), we can just skip installing npm in the first place. This eliminates both the ~25-line CVE-patch shuffle AND the underlying CVE surface. Kept: nodejs (needed by prisma-python's CLI and migrate deploy). Removed: npm apk package, all 'npm install -g', all find+sed patching, the redundant 'apk upgrade --no-cache nodejs' (already covered by the preceding 'apk upgrade'). Image: 4.97GB (opt-1) -> 4.97GB (opt-2); the real win is that two CVEs (CVE-2026-33671 and GHSA-q4gf-8mx6-v5v3) drop off the Trivy HIGH/CRITICAL list. No new CVEs introduced. API parity and UI visual regression both match baseline. Co-authored-by: yuneng-jiang --- docker/Dockerfile.non_root | 28 +++------------------------- 1 file changed, 3 insertions(+), 25 deletions(-) diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index fcfc901ae12..9f32f57c6f8 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -110,33 +110,11 @@ WORKDIR /app USER root RUN for i in 1 2 3; do \ - apk upgrade --no-cache && break || sleep 5; \ + apk upgrade --no-cache && break || sleep 5; \ done && \ for i in 1 2 3; do \ - apk add --no-cache python3 bash openssl tzdata nodejs npm supervisor libsndfile && break || sleep 5; \ - done && \ - apk upgrade --no-cache nodejs && \ - npm install -g npm@11.12.1 tar@7.5.11 glob@11.1.0 @isaacs/brace-expansion@5.0.1 minimatch@10.2.4 diff@8.0.3 && \ - GLOBAL="$(npm root -g)" && \ - find "$GLOBAL/npm" -type d -name "tar" -path "*/node_modules/tar" | while read d; do \ - rm -rf "$d" && cp -rL "$GLOBAL/tar" "$d"; \ - done && \ - find "$GLOBAL/npm" -type d -name "glob" -path "*/node_modules/glob" | while read d; do \ - rm -rf "$d" && cp -rL "$GLOBAL/glob" "$d"; \ - done && \ - find "$GLOBAL/npm" -type d -name "brace-expansion" -path "*/node_modules/@isaacs/brace-expansion" | while read d; do \ - rm -rf "$d" && cp -rL "$GLOBAL/@isaacs/brace-expansion" "$d"; \ - done && \ - find "$GLOBAL/npm" -type d -name "minimatch" -path "*/node_modules/minimatch" | while read d; do \ - rm -rf "$d" && cp -rL "$GLOBAL/minimatch" "$d"; \ - done && \ - find "$GLOBAL/npm" -type d -name "diff" -path "*/node_modules/diff" | while read d; do \ - rm -rf "$d" && cp -rL "$GLOBAL/diff" "$d"; \ - done && \ - find /usr/local/lib /usr/lib -path "*/node_modules/npm/package.json" -exec \ - sed -i 's/"tar": "\^7\.5\.[0-9]*"/"tar": "^7.5.10"/g; s/"minimatch": "\^10\.[0-9.]*"/"minimatch": "^10.2.4"/g' {} + 2>/dev/null && \ - npm cache clean --force && \ - { apk del --no-cache npm 2>/dev/null || true; } + apk add --no-cache python3 bash openssl tzdata supervisor libsndfile nodejs && break || sleep 5; \ + done COPY --from=builder /app /app COPY --from=builder /var/lib/litellm/ui /var/lib/litellm/ui From ca52e346b0b5a4a647065603324ebc57d532f34e Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 19 Apr 2026 05:59:31 +0000 Subject: [PATCH 017/165] [Infra] Dockerfile.non_root: slim C toolchain in builder stage MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit After Task 2.1 removed the in-image Next.js build, the builder stage no longer needs a full C/C++ + Clang toolchain. Keep gcc + python3-dev (required to compile ml-dtypes 0.4.1 from source — no wheel published for Python 3.13 yet). Drop everything else. Removed from apk: clang, llvm, lld, linux-headers, build-base, openssl-dev, npm. Removed NVM_DIR env and /root/.nvm from PATH (no nvm-based Node install anymore). Kept: python3, python3-dev, gcc, bash, coreutils, curl, openssl, libsndfile, nodejs. gcc (15.2) serves both C and C++; the separate g++ package doesn't exist in Wolfi. Image size unchanged (builder stage doesn't end up in the runtime); cold builds slightly slower due to ml-dtypes source compile, but that will be recovered in the next task via a BuildKit uv cache mount. API parity and UI visual regression both match baseline, Trivy HIGH/CRITICAL CVE count unchanged from opt-2 (4 CVEs, none new). Co-authored-by: yuneng-jiang --- docker/Dockerfile.non_root | 30 +++++++++++------------------- 1 file changed, 11 insertions(+), 19 deletions(-) diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index 9f32f57c6f8..756fe0cea0f 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -15,29 +15,21 @@ COPY --from=uvbin /uv /usr/local/bin/uv COPY --from=uvbin /uvx /usr/local/bin/uvx RUN for i in 1 2 3; do \ - apk add --no-cache \ - python3 \ - python3-dev \ - clang \ - llvm \ - lld \ - gcc \ - linux-headers \ - build-base \ - bash \ - coreutils \ - curl \ - openssl \ - openssl-dev \ - nodejs \ - npm \ - libsndfile && break || sleep 5; \ + apk add --no-cache \ + python3 \ + python3-dev \ + gcc \ + bash \ + coreutils \ + curl \ + openssl \ + libsndfile \ + nodejs && break || sleep 5; \ done ENV UV_PROJECT_ENVIRONMENT=/app/.venv \ UV_LINK_MODE=copy \ - NVM_DIR=/root/.nvm \ - PATH="/root/.nvm/versions/node/v20.20.2/bin:/app/.venv/bin:${PATH}" \ + PATH="/app/.venv/bin:${PATH}" \ LITELLM_NON_ROOT=true \ PRISMA_BINARY_CACHE_DIR=/app/.cache/prisma-python/binaries \ PRISMA_CLI_BINARY_TARGETS="debian-openssl-3.0.x" \ From e24c02f478e7ef201725d85c34d00a8a446741bc Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 19 Apr 2026 06:35:39 +0000 Subject: [PATCH 018/165] [Infra] Dockerfile.non_root: add BuildKit uv cache mount Mount /app/.cache/uv as a BuildKit type=cache on both 'uv sync' steps. The cache persists across builds on the same builder (and, when used with type=gha in CI, across CI runs) so repeat builds don't re-download every wheel. Side-effect: because the cache lives outside the image layer, the ~742MB of downloaded wheel archives that were previously baked into /app/.cache/uv drop out of the final image. Compressed image size goes from ~5.0GB to ~3.7GB, and the 'USER nobody' prisma-generate layer is 1.7GB vs 2.4GB. Warm-build timing: a uv-sync-invalidating edit now takes ~1m30s vs ~2m39s without the cache mount, on this dev VM. API parity and UI visual regression continue to match baseline. Trivy HIGH/CRITICAL: 6 at baseline -> 2 now, no new CVEs. Co-authored-by: yuneng-jiang --- docker/Dockerfile.non_root | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index 756fe0cea0f..07763ed350d 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -41,7 +41,8 @@ COPY enterprise/pyproject.toml enterprise/ COPY litellm-proxy-extras/pyproject.toml litellm-proxy-extras/ # Install third-party dependencies (cached unless pyproject.toml/uv.lock change) -RUN uv sync --frozen --no-install-project --no-install-workspace --no-default-groups --no-editable \ +RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \ + uv sync --frozen --no-install-project --no-install-workspace --no-default-groups --no-editable \ --extra proxy \ --extra proxy-runtime \ --extra extra_proxy \ @@ -71,7 +72,8 @@ RUN mkdir -p /var/lib/litellm/ui /var/lib/litellm/assets && \ done && \ touch .litellm_ui_ready ) -RUN if [ "$PROXY_EXTRAS_SOURCE" = "published" ]; then \ +RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \ + if [ "$PROXY_EXTRAS_SOURCE" = "published" ]; then \ uv sync --frozen --no-default-groups --no-editable \ --extra proxy \ --extra proxy-runtime \ From 4c8cbaf0a2403dd60fcdb546f7cecabd72b4fc2b Mon Sep 17 00:00:00 2001 From: Cursor Agent Date: Sun, 19 Apr 2026 06:50:50 +0000 Subject: [PATCH 019/165] [Refactor] Dockerfile.non_root: drop dead lines and shrink build context MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Five small, individually-verified cleanups collected into one commit: - Drop 'prisma migrate diff --from-empty ... > /dev/null 2>&1 || true' from the builder. Stdout/stderr/exit-status all discarded; nothing reads the output. Dead line. - Drop 'mkdir -p /app/.cache/npm' from the same RUN. npm is gone. - Drop the runtime's redundant 'sed -i' + 'chmod +x' on the entrypoint scripts. The builder already does the same three lines, and the runtime copies /app from the builder via COPY --from=builder, so the normalized files (and exec bits, which buildkit preserves) are already in place. - Drop NPM_CONFIG_CACHE and NPM_CONFIG_PREFER_OFFLINE from the runtime ENV — nothing reads them after Task 2.2 removed npm. - Drop '/.npm' and '/tmp/.npm' from the runtime's mkdir + chown. These directories only existed as npm's writable dirs for the non-root user; npm is gone. .dockerignore: add 'ui/'. After Task 2.1 the non_root image sources its UI bytes from litellm/proxy/_experimental/out/, so the whole ui/litellm-dashboard/ source tree is dead weight when the blanket 'COPY . .' pulls it into /app. Verified (with ripgrep) that no Python code under litellm/ opens any file under ui/. All string references to 'ui/...' are URL paths, not filesystem paths. Final image size: 6.57GB baseline -> 1.96GB. API parity and UI visual regression match baseline across all 12 API scenarios and 10 UI routes. Trivy HIGH/CRITICAL: 6 -> 2, no new CVEs introduced. Co-authored-by: yuneng-jiang --- .dockerignore | 4 ++++ docker/Dockerfile.non_root | 15 ++++----------- 2 files changed, 8 insertions(+), 11 deletions(-) diff --git a/.dockerignore b/.dockerignore index a487d2a859a..5a45dfc8b6a 100644 --- a/.dockerignore +++ b/.dockerignore @@ -52,3 +52,7 @@ build/ *.log .env .env.local + +# UI source tree is not needed for the non_root image — the built output lives in +# litellm/proxy/_experimental/out/ and is copied directly. +ui/ diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index 07763ed350d..aef23cb4b12 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -90,10 +90,8 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \ --python python3; \ fi -RUN mkdir -p /app/.cache/npm && \ - prisma generate --schema=./schema.prisma && \ - prisma --version && \ - prisma migrate diff --from-empty --to-schema-datamodel ./schema.prisma --script > /dev/null 2>&1 || true +RUN prisma generate --schema=./schema.prisma && \ + prisma --version RUN sed -i 's/\r$//' docker/entrypoint.sh && chmod +x docker/entrypoint.sh && \ sed -i 's/\r$//' docker/prod_entrypoint.sh && chmod +x docker/prod_entrypoint.sh @@ -124,15 +122,10 @@ ENV PATH="/app/.venv/bin:${PATH}" \ PRISMA_SKIP_POSTINSTALL_GENERATE=1 \ PRISMA_HIDE_UPDATE_MESSAGE=1 \ PRISMA_ENGINES_CHECKSUM_IGNORE_MISSING=1 \ - NPM_CONFIG_CACHE=/app/.cache/npm \ - NPM_CONFIG_PREFER_OFFLINE=true \ PRISMA_OFFLINE_MODE=true -RUN sed -i 's/\r$//' docker/entrypoint.sh && \ - sed -i 's/\r$//' docker/prod_entrypoint.sh && \ - chmod +x docker/entrypoint.sh docker/prod_entrypoint.sh && \ - mkdir -p /nonexistent /.npm /var/lib/litellm/assets /var/lib/litellm/ui /tmp/.npm && \ - chown -R nobody:nogroup /app /var/lib/litellm/ui /var/lib/litellm/assets /nonexistent /.npm /tmp/.npm && \ +RUN mkdir -p /nonexistent /var/lib/litellm/assets /var/lib/litellm/ui && \ + chown -R nobody:nogroup /app /var/lib/litellm/ui /var/lib/litellm/assets /nonexistent && \ PRISMA_PATH=$(python -c "import os, prisma; print(os.path.dirname(prisma.__file__))") && \ chown -R nobody:nogroup "$PRISMA_PATH" && \ LITELLM_PKG_MIGRATIONS_PATH="$(python -c 'import os, litellm_proxy_extras; print(os.path.dirname(litellm_proxy_extras.__file__))' 2>/dev/null || echo '')/migrations" && \ From 43d23e9878609f3755351de25e0091df4b709e4e Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 07:35:46 -0700 Subject: [PATCH 020/165] chore: revert UI build artifacts MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Remove _experimental/out/ changes from this PR — these are auto-generated Next.js build outputs, not part of the adaptive router feature. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/proxy/_experimental/out/{404/index.html => 404.html} | 0 .../_experimental/out/{_not-found/index.html => _not-found.html} | 0 .../out/{api-reference/index.html => api-reference.html} | 0 litellm/proxy/_experimental/out/{chat/index.html => chat.html} | 0 .../{api-playground/index.html => api-playground.html} | 0 .../out/experimental/{budgets/index.html => budgets.html} | 0 .../out/experimental/{caching/index.html => caching.html} | 0 .../{claude-code-plugins/index.html => claude-code-plugins.html} | 0 .../out/experimental/{old-usage/index.html => old-usage.html} | 0 .../out/experimental/{prompts/index.html => prompts.html} | 0 .../{tag-management/index.html => tag-management.html} | 0 .../_experimental/out/{guardrails/index.html => guardrails.html} | 0 litellm/proxy/_experimental/out/{login/index.html => login.html} | 0 litellm/proxy/_experimental/out/{logs/index.html => logs.html} | 0 .../out/mcp/oauth/{callback/index.html => callback.html} | 0 .../_experimental/out/{model-hub/index.html => model-hub.html} | 0 .../_experimental/out/{model_hub/index.html => model_hub.html} | 0 .../out/{model_hub_table/index.html => model_hub_table.html} | 0 .../index.html => models-and-endpoints.html} | 0 .../_experimental/out/{onboarding/index.html => onboarding.html} | 0 .../out/{organizations/index.html => organizations.html} | 0 .../_experimental/out/{playground/index.html => playground.html} | 0 .../_experimental/out/{policies/index.html => policies.html} | 0 .../settings/{admin-settings/index.html => admin-settings.html} | 0 .../{logging-and-alerts/index.html => logging-and-alerts.html} | 0 .../settings/{router-settings/index.html => router-settings.html} | 0 .../out/settings/{ui-theme/index.html => ui-theme.html} | 0 litellm/proxy/_experimental/out/{teams/index.html => teams.html} | 0 .../_experimental/out/{test-key/index.html => test-key.html} | 0 .../out/tools/{mcp-servers/index.html => mcp-servers.html} | 0 .../out/tools/{vector-stores/index.html => vector-stores.html} | 0 litellm/proxy/_experimental/out/{usage/index.html => usage.html} | 0 litellm/proxy/_experimental/out/{users/index.html => users.html} | 0 .../out/{virtual-keys/index.html => virtual-keys.html} | 0 34 files changed, 0 insertions(+), 0 deletions(-) rename litellm/proxy/_experimental/out/{404/index.html => 404.html} (100%) rename litellm/proxy/_experimental/out/{_not-found/index.html => _not-found.html} (100%) rename litellm/proxy/_experimental/out/{api-reference/index.html => api-reference.html} (100%) rename litellm/proxy/_experimental/out/{chat/index.html => chat.html} (100%) rename litellm/proxy/_experimental/out/experimental/{api-playground/index.html => api-playground.html} (100%) rename litellm/proxy/_experimental/out/experimental/{budgets/index.html => budgets.html} (100%) rename litellm/proxy/_experimental/out/experimental/{caching/index.html => caching.html} (100%) rename litellm/proxy/_experimental/out/experimental/{claude-code-plugins/index.html => claude-code-plugins.html} (100%) rename litellm/proxy/_experimental/out/experimental/{old-usage/index.html => old-usage.html} (100%) rename litellm/proxy/_experimental/out/experimental/{prompts/index.html => prompts.html} (100%) rename litellm/proxy/_experimental/out/experimental/{tag-management/index.html => tag-management.html} (100%) rename litellm/proxy/_experimental/out/{guardrails/index.html => guardrails.html} (100%) rename litellm/proxy/_experimental/out/{login/index.html => login.html} (100%) rename litellm/proxy/_experimental/out/{logs/index.html => logs.html} (100%) rename litellm/proxy/_experimental/out/mcp/oauth/{callback/index.html => callback.html} (100%) rename litellm/proxy/_experimental/out/{model-hub/index.html => model-hub.html} (100%) rename litellm/proxy/_experimental/out/{model_hub/index.html => model_hub.html} (100%) rename litellm/proxy/_experimental/out/{model_hub_table/index.html => model_hub_table.html} (100%) rename litellm/proxy/_experimental/out/{models-and-endpoints/index.html => models-and-endpoints.html} (100%) rename litellm/proxy/_experimental/out/{onboarding/index.html => onboarding.html} (100%) rename litellm/proxy/_experimental/out/{organizations/index.html => organizations.html} (100%) rename litellm/proxy/_experimental/out/{playground/index.html => playground.html} (100%) rename litellm/proxy/_experimental/out/{policies/index.html => policies.html} (100%) rename litellm/proxy/_experimental/out/settings/{admin-settings/index.html => admin-settings.html} (100%) rename litellm/proxy/_experimental/out/settings/{logging-and-alerts/index.html => logging-and-alerts.html} (100%) rename litellm/proxy/_experimental/out/settings/{router-settings/index.html => router-settings.html} (100%) rename litellm/proxy/_experimental/out/settings/{ui-theme/index.html => ui-theme.html} (100%) rename litellm/proxy/_experimental/out/{teams/index.html => teams.html} (100%) rename litellm/proxy/_experimental/out/{test-key/index.html => test-key.html} (100%) rename litellm/proxy/_experimental/out/tools/{mcp-servers/index.html => mcp-servers.html} (100%) rename litellm/proxy/_experimental/out/tools/{vector-stores/index.html => vector-stores.html} (100%) rename litellm/proxy/_experimental/out/{usage/index.html => usage.html} (100%) rename litellm/proxy/_experimental/out/{users/index.html => users.html} (100%) rename litellm/proxy/_experimental/out/{virtual-keys/index.html => virtual-keys.html} (100%) diff --git a/litellm/proxy/_experimental/out/404/index.html b/litellm/proxy/_experimental/out/404.html similarity index 100% rename from litellm/proxy/_experimental/out/404/index.html rename to litellm/proxy/_experimental/out/404.html diff --git a/litellm/proxy/_experimental/out/_not-found/index.html b/litellm/proxy/_experimental/out/_not-found.html similarity index 100% rename from litellm/proxy/_experimental/out/_not-found/index.html rename to litellm/proxy/_experimental/out/_not-found.html diff --git a/litellm/proxy/_experimental/out/api-reference/index.html b/litellm/proxy/_experimental/out/api-reference.html similarity index 100% rename from litellm/proxy/_experimental/out/api-reference/index.html rename to litellm/proxy/_experimental/out/api-reference.html diff --git a/litellm/proxy/_experimental/out/chat/index.html b/litellm/proxy/_experimental/out/chat.html similarity index 100% rename from litellm/proxy/_experimental/out/chat/index.html rename to litellm/proxy/_experimental/out/chat.html diff --git a/litellm/proxy/_experimental/out/experimental/api-playground/index.html b/litellm/proxy/_experimental/out/experimental/api-playground.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/api-playground/index.html rename to litellm/proxy/_experimental/out/experimental/api-playground.html diff --git a/litellm/proxy/_experimental/out/experimental/budgets/index.html b/litellm/proxy/_experimental/out/experimental/budgets.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/budgets/index.html rename to litellm/proxy/_experimental/out/experimental/budgets.html diff --git a/litellm/proxy/_experimental/out/experimental/caching/index.html b/litellm/proxy/_experimental/out/experimental/caching.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/caching/index.html rename to litellm/proxy/_experimental/out/experimental/caching.html diff --git a/litellm/proxy/_experimental/out/experimental/claude-code-plugins/index.html b/litellm/proxy/_experimental/out/experimental/claude-code-plugins.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/claude-code-plugins/index.html rename to litellm/proxy/_experimental/out/experimental/claude-code-plugins.html diff --git a/litellm/proxy/_experimental/out/experimental/old-usage/index.html b/litellm/proxy/_experimental/out/experimental/old-usage.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/old-usage/index.html rename to litellm/proxy/_experimental/out/experimental/old-usage.html diff --git a/litellm/proxy/_experimental/out/experimental/prompts/index.html b/litellm/proxy/_experimental/out/experimental/prompts.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/prompts/index.html rename to litellm/proxy/_experimental/out/experimental/prompts.html diff --git a/litellm/proxy/_experimental/out/experimental/tag-management/index.html b/litellm/proxy/_experimental/out/experimental/tag-management.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/tag-management/index.html rename to litellm/proxy/_experimental/out/experimental/tag-management.html diff --git a/litellm/proxy/_experimental/out/guardrails/index.html b/litellm/proxy/_experimental/out/guardrails.html similarity index 100% rename from litellm/proxy/_experimental/out/guardrails/index.html rename to litellm/proxy/_experimental/out/guardrails.html diff --git a/litellm/proxy/_experimental/out/login/index.html b/litellm/proxy/_experimental/out/login.html similarity index 100% rename from litellm/proxy/_experimental/out/login/index.html rename to litellm/proxy/_experimental/out/login.html diff --git a/litellm/proxy/_experimental/out/logs/index.html b/litellm/proxy/_experimental/out/logs.html similarity index 100% rename from litellm/proxy/_experimental/out/logs/index.html rename to litellm/proxy/_experimental/out/logs.html diff --git a/litellm/proxy/_experimental/out/mcp/oauth/callback/index.html b/litellm/proxy/_experimental/out/mcp/oauth/callback.html similarity index 100% rename from litellm/proxy/_experimental/out/mcp/oauth/callback/index.html rename to litellm/proxy/_experimental/out/mcp/oauth/callback.html diff --git a/litellm/proxy/_experimental/out/model-hub/index.html b/litellm/proxy/_experimental/out/model-hub.html similarity index 100% rename from litellm/proxy/_experimental/out/model-hub/index.html rename to litellm/proxy/_experimental/out/model-hub.html diff --git a/litellm/proxy/_experimental/out/model_hub/index.html b/litellm/proxy/_experimental/out/model_hub.html similarity index 100% rename from litellm/proxy/_experimental/out/model_hub/index.html rename to litellm/proxy/_experimental/out/model_hub.html diff --git a/litellm/proxy/_experimental/out/model_hub_table/index.html b/litellm/proxy/_experimental/out/model_hub_table.html similarity index 100% rename from litellm/proxy/_experimental/out/model_hub_table/index.html rename to litellm/proxy/_experimental/out/model_hub_table.html diff --git a/litellm/proxy/_experimental/out/models-and-endpoints/index.html b/litellm/proxy/_experimental/out/models-and-endpoints.html similarity index 100% rename from litellm/proxy/_experimental/out/models-and-endpoints/index.html rename to litellm/proxy/_experimental/out/models-and-endpoints.html diff --git a/litellm/proxy/_experimental/out/onboarding/index.html b/litellm/proxy/_experimental/out/onboarding.html similarity index 100% rename from litellm/proxy/_experimental/out/onboarding/index.html rename to litellm/proxy/_experimental/out/onboarding.html diff --git a/litellm/proxy/_experimental/out/organizations/index.html b/litellm/proxy/_experimental/out/organizations.html similarity index 100% rename from litellm/proxy/_experimental/out/organizations/index.html rename to litellm/proxy/_experimental/out/organizations.html diff --git a/litellm/proxy/_experimental/out/playground/index.html b/litellm/proxy/_experimental/out/playground.html similarity index 100% rename from litellm/proxy/_experimental/out/playground/index.html rename to litellm/proxy/_experimental/out/playground.html diff --git a/litellm/proxy/_experimental/out/policies/index.html b/litellm/proxy/_experimental/out/policies.html similarity index 100% rename from litellm/proxy/_experimental/out/policies/index.html rename to litellm/proxy/_experimental/out/policies.html diff --git a/litellm/proxy/_experimental/out/settings/admin-settings/index.html b/litellm/proxy/_experimental/out/settings/admin-settings.html similarity index 100% rename from litellm/proxy/_experimental/out/settings/admin-settings/index.html rename to litellm/proxy/_experimental/out/settings/admin-settings.html diff --git a/litellm/proxy/_experimental/out/settings/logging-and-alerts/index.html b/litellm/proxy/_experimental/out/settings/logging-and-alerts.html similarity index 100% rename from litellm/proxy/_experimental/out/settings/logging-and-alerts/index.html rename to litellm/proxy/_experimental/out/settings/logging-and-alerts.html diff --git a/litellm/proxy/_experimental/out/settings/router-settings/index.html b/litellm/proxy/_experimental/out/settings/router-settings.html similarity index 100% rename from litellm/proxy/_experimental/out/settings/router-settings/index.html rename to litellm/proxy/_experimental/out/settings/router-settings.html diff --git a/litellm/proxy/_experimental/out/settings/ui-theme/index.html b/litellm/proxy/_experimental/out/settings/ui-theme.html similarity index 100% rename from litellm/proxy/_experimental/out/settings/ui-theme/index.html rename to litellm/proxy/_experimental/out/settings/ui-theme.html diff --git a/litellm/proxy/_experimental/out/teams/index.html b/litellm/proxy/_experimental/out/teams.html similarity index 100% rename from litellm/proxy/_experimental/out/teams/index.html rename to litellm/proxy/_experimental/out/teams.html diff --git a/litellm/proxy/_experimental/out/test-key/index.html b/litellm/proxy/_experimental/out/test-key.html similarity index 100% rename from litellm/proxy/_experimental/out/test-key/index.html rename to litellm/proxy/_experimental/out/test-key.html diff --git a/litellm/proxy/_experimental/out/tools/mcp-servers/index.html b/litellm/proxy/_experimental/out/tools/mcp-servers.html similarity index 100% rename from litellm/proxy/_experimental/out/tools/mcp-servers/index.html rename to litellm/proxy/_experimental/out/tools/mcp-servers.html diff --git a/litellm/proxy/_experimental/out/tools/vector-stores/index.html b/litellm/proxy/_experimental/out/tools/vector-stores.html similarity index 100% rename from litellm/proxy/_experimental/out/tools/vector-stores/index.html rename to litellm/proxy/_experimental/out/tools/vector-stores.html diff --git a/litellm/proxy/_experimental/out/usage/index.html b/litellm/proxy/_experimental/out/usage.html similarity index 100% rename from litellm/proxy/_experimental/out/usage/index.html rename to litellm/proxy/_experimental/out/usage.html diff --git a/litellm/proxy/_experimental/out/users/index.html b/litellm/proxy/_experimental/out/users.html similarity index 100% rename from litellm/proxy/_experimental/out/users/index.html rename to litellm/proxy/_experimental/out/users.html diff --git a/litellm/proxy/_experimental/out/virtual-keys/index.html b/litellm/proxy/_experimental/out/virtual-keys.html similarity index 100% rename from litellm/proxy/_experimental/out/virtual-keys/index.html rename to litellm/proxy/_experimental/out/virtual-keys.html From dedc219f8ede94239d5dff19ecbbce447e9b46b7 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 07:38:51 -0700 Subject: [PATCH 021/165] fix: minor improvements --- .../adaptive_router_update_queue.py | 35 ++++++------------- litellm/proxy/proxy_server.py | 4 ++- .../adaptive_router/adaptive_router.py | 11 ++++-- 3 files changed, 23 insertions(+), 27 deletions(-) diff --git a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py b/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py index 3a76370e7d7..d1e275a076d 100644 --- a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py +++ b/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py @@ -107,24 +107,11 @@ class AdaptiveRouterUpdateQueue: router, rt, model = key payload = batch[key] try: - existing = ( - await prisma_client.db.litellm_adaptiverouterstate.find_unique( - where={ - "router_name_request_type_model_name": { - "router_name": router, - "request_type": rt, - "model_name": model, - } - } - ) - ) - new_alpha = (existing.alpha if existing else 0.0) + payload[ - "delta_alpha" - ] - new_beta = (existing.beta if existing else 0.0) + payload["delta_beta"] - new_samples = (existing.total_samples if existing else 0) + int( - payload["samples_added"] - ) + # Atomic increment: push the delta directly into the DB so + # concurrent flushers from multiple pods don't overwrite each + # other. The upsert creates the row with the delta as the + # initial value on first write, then increments on subsequent + # writes — no read-modify-write race. await prisma_client.db.litellm_adaptiverouterstate.upsert( where={ "router_name_request_type_model_name": { @@ -138,14 +125,14 @@ class AdaptiveRouterUpdateQueue: "router_name": router, "request_type": rt, "model_name": model, - "alpha": new_alpha, - "beta": new_beta, - "total_samples": new_samples, + "alpha": payload["delta_alpha"], + "beta": payload["delta_beta"], + "total_samples": int(payload["samples_added"]), }, "update": { - "alpha": new_alpha, - "beta": new_beta, - "total_samples": new_samples, + "alpha": {"increment": payload["delta_alpha"]}, + "beta": {"increment": payload["delta_beta"]}, + "total_samples": {"increment": int(payload["samples_added"])}, }, }, ) diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 67a3414d0b2..8d5e9bc0fe7 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -952,8 +952,10 @@ async def proxy_startup_event(app: FastAPI): # noqa: PLR0915 _run_background_health_check() ) # start the background health check coroutine. - # Start adaptive-router queue flusher if any AdaptiveRouter is configured. + # Start adaptive-router queue flusher and load persisted state if any AdaptiveRouter is configured. if llm_router is not None and getattr(llm_router, "adaptive_routers", None): + for _ar in llm_router.adaptive_routers.values(): + await _ar.load_state_from_db(prisma_client) asyncio.create_task(_adaptive_router_flusher_loop()) ## [Optional] Initialize dd tracer diff --git a/litellm/router_strategy/adaptive_router/adaptive_router.py b/litellm/router_strategy/adaptive_router/adaptive_router.py index 2f3adccad76..b7f7722e0a9 100644 --- a/litellm/router_strategy/adaptive_router/adaptive_router.py +++ b/litellm/router_strategy/adaptive_router/adaptive_router.py @@ -297,7 +297,9 @@ class AdaptiveRouter: """Apply one turn, push session snapshot + bandit deltas to the queue.""" state = self.get_or_create_session_state(session_id, model_name, request_type) delta = apply_turn(state, turn) - print("CALLS DELTA", delta) + verbose_router_logger.debug( + "AdaptiveRouter[%s]: record_turn delta=%s", self.router_name, delta + ) snapshot = asdict(state) await self.queue.add_session_state( @@ -305,7 +307,12 @@ class AdaptiveRouter: ) d_alpha, d_beta = self._compute_bandit_delta(delta) - print("CALLS D_ALPHA", d_alpha) + verbose_router_logger.debug( + "AdaptiveRouter[%s]: bandit delta alpha=%.2f beta=%.2f", + self.router_name, + d_alpha, + d_beta, + ) if d_alpha != 0 or d_beta != 0: # For non-GENERAL turns, attribute to the current-turn classification # so genuine mid-session topic shifts (e.g. code → math) update the From 3cf0460d8c5e7d77b57577e68aa8117abbbf0b8f Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 07:41:04 -0700 Subject: [PATCH 022/165] chore: revert uv.lock to match main MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Unrelated timestamp and version drift was showing in the PR diff. This PR adds no new deps — keep uv.lock identical to main. Co-Authored-By: Claude Opus 4.7 (1M context) --- uv.lock | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/uv.lock b/uv.lock index 3accbc0303c..c403884a04b 100644 --- a/uv.lock +++ b/uv.lock @@ -10,7 +10,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-04-15T20:11:16.497522Z" +exclude-newer = "2026-04-13T16:35:18.496811Z" exclude-newer-span = "P3D" [manifest] @@ -3767,7 +3767,7 @@ wheels = [ [[package]] name = "litellm" -version = "1.83.9" +version = "1.83.8" source = { editable = "." } dependencies = [ { name = "aiohttp" }, @@ -4114,7 +4114,7 @@ source = { editable = "enterprise" } [[package]] name = "litellm-proxy-extras" -version = "0.4.66" +version = "0.4.65" source = { editable = "litellm-proxy-extras" } [[package]] From f0efc5f670851264b400caaee48ecd503852ed38 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 07:43:53 -0700 Subject: [PATCH 023/165] test: cover _finalize_adaptive_router_if_configured Router coverage check flagged this method as untested. Adds two cases: - initializes AdaptiveRouter from model_list and is idempotent on re-entry - no-op when no adaptive deployments are configured Co-Authored-By: Claude Opus 4.7 (1M context) --- .../adaptive_router/test_router_dispatch.py | 53 +++++++++++++++++++ 1 file changed, 53 insertions(+) diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py b/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py index 7a67dac1a81..73cb66616ef 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py @@ -378,3 +378,56 @@ def test_init_adaptive_router_rejects_duplicate_model_name(): r.init_adaptive_router_deployment(deployment=deployment) with pytest.raises(ValueError, match="already exists"): r.init_adaptive_router_deployment(deployment=deployment) + + +def test_finalize_adaptive_router_if_configured_initializes_and_is_idempotent(): + """`_finalize_adaptive_router_if_configured` walks the model_list, builds an + AdaptiveRouter for each adaptive deployment, and is a safe no-op on + re-entry (models already in self.adaptive_routers are skipped).""" + r = Router( + model_list=[ + { + "model_name": "fast", + "litellm_params": {"model": "openai/gpt-4o-mini"}, + "model_info": {"input_cost_per_token": 0.00000015}, + }, + { + "model_name": "smart", + "litellm_params": {"model": "openai/gpt-4o"}, + "model_info": {"input_cost_per_token": 0.0000025}, + }, + { + "model_name": "my-router", + "litellm_params": { + "model": "auto_router/adaptive_router", + "adaptive_router_config": { + "available_models": ["fast", "smart"], + }, + }, + }, + ] + ) + + # Router __init__ already called _finalize_adaptive_router_if_configured. + assert "my-router" in r.adaptive_routers + original = r.adaptive_routers["my-router"] + + # Calling again must be idempotent: the existing AdaptiveRouter instance + # is preserved, not rebuilt. + r._finalize_adaptive_router_if_configured() + assert r.adaptive_routers["my-router"] is original + + +def test_finalize_adaptive_router_if_configured_noop_when_none_configured(): + """With no adaptive deployments in model_list, the finalizer leaves + `adaptive_routers` empty.""" + r = Router( + model_list=[ + { + "model_name": "fast", + "litellm_params": {"model": "openai/gpt-4o-mini"}, + } + ] + ) + r._finalize_adaptive_router_if_configured() + assert r.adaptive_routers == {} From db49885102702ce5a518ed384125c6ce799db287 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 13:47:18 -0700 Subject: [PATCH 024/165] [Refactor] Dockerfile.non_root: drop UI drift guard approach MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Revert the .dockerignore ui/ exclusion and remove the UI Drift Guard workflow. _experimental/out/ refresh is already handled by the release runbook; the global .dockerignore change also broke Dockerfile.custom_ui (explicit COPY ./ui/litellm-dashboard) and the enterprise-colors inline rebuild path in Dockerfile, Dockerfile.database, and Dockerfile.dev. Dockerfile.non_root itself is unchanged functionally — still stages the UI from the checked-in _experimental/out/. Only the companion workflow and global dockerignore exclusion are dropped. --- .dockerignore | 4 --- .github/workflows/ui-drift-guard.yml | 47 ---------------------------- docker/Dockerfile.non_root | 2 +- 3 files changed, 1 insertion(+), 52 deletions(-) delete mode 100644 .github/workflows/ui-drift-guard.yml diff --git a/.dockerignore b/.dockerignore index 5a45dfc8b6a..a487d2a859a 100644 --- a/.dockerignore +++ b/.dockerignore @@ -52,7 +52,3 @@ build/ *.log .env .env.local - -# UI source tree is not needed for the non_root image — the built output lives in -# litellm/proxy/_experimental/out/ and is copied directly. -ui/ diff --git a/.github/workflows/ui-drift-guard.yml b/.github/workflows/ui-drift-guard.yml deleted file mode 100644 index c43a741d28b..00000000000 --- a/.github/workflows/ui-drift-guard.yml +++ /dev/null @@ -1,47 +0,0 @@ -name: UI Drift Guard -permissions: - contents: read - -on: - pull_request: - branches: - - main - - litellm_internal_staging - - "litellm_**" - paths: - - "ui/litellm-dashboard/**" - - "litellm/proxy/_experimental/out/**" - - ".github/workflows/ui-drift-guard.yml" - -jobs: - verify-ui-output-fresh: - runs-on: ubuntu-latest - timeout-minutes: 15 - steps: - - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 - with: - persist-credentials: false - - - uses: actions/setup-node@v4 - with: - node-version: "20.20.2" - cache: "npm" - cache-dependency-path: ui/litellm-dashboard/package-lock.json - - - name: Build UI - working-directory: ui/litellm-dashboard - run: | - npm ci --no-audit --no-fund - npm run build - - - name: Compare against committed _experimental/out - run: | - set -euo pipefail - ( cd ui/litellm-dashboard/out && find . -type f -exec sha256sum {} + ) | sort > /tmp/fresh.txt - ( cd litellm/proxy/_experimental/out && find . -type f -exec sha256sum {} + ) | sort > /tmp/committed.txt - if ! diff -u /tmp/committed.txt /tmp/fresh.txt > /tmp/drift.txt; then - echo "::error::UI output is stale. Regenerate litellm/proxy/_experimental/out/ from ui/litellm-dashboard/out/." - head -200 /tmp/drift.txt - exit 1 - fi - echo "UI output is fresh." diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index aef23cb4b12..b25c58ed7a0 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -56,7 +56,7 @@ COPY . . ENV LITELLM_NON_ROOT=true # Stage the pre-built Admin UI from the checked-in Next.js static export. -# The UI Drift Guard CI workflow keeps _experimental/out/ in sync with ui/litellm-dashboard/ source. +# _experimental/out/ is regenerated as part of the release runbook. # Restructure extensionless routes (foo.html -> foo/index.html) to match the layout # proxy_server.py expects, and drop a readiness marker. RUN mkdir -p /var/lib/litellm/ui /var/lib/litellm/assets && \ From 995bff0dec77ec276c819547fc50fc1429d32158 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 13:51:53 -0700 Subject: [PATCH 025/165] [Fix] Dockerfile.non_root: drop prisma --version sanity call MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit prisma --version invokes the Schema Engine, which has no binary for the Wolfi base image (only debian). In the baseline this was silenced by a trailing || true wrapping the whole prisma chain; removing that wrapper uncovered the failure on arm64 builds. The main Dockerfile does not call prisma --version at all, so drop it here to match — prisma generate is sufficient to validate the toolchain. --- docker/Dockerfile.non_root | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index b25c58ed7a0..e9161676092 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -90,8 +90,7 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \ --python python3; \ fi -RUN prisma generate --schema=./schema.prisma && \ - prisma --version +RUN prisma generate --schema=./schema.prisma RUN sed -i 's/\r$//' docker/entrypoint.sh && chmod +x docker/entrypoint.sh && \ sed -i 's/\r$//' docker/prod_entrypoint.sh && chmod +x docker/prod_entrypoint.sh From a19bff4ca67dcf4e721df9d831c9d073aa26acd2 Mon Sep 17 00:00:00 2001 From: nhyy244 <106547304+nhyy244@users.noreply.github.com> Date: Mon, 20 Apr 2026 23:49:41 +0200 Subject: [PATCH 026/165] Feature/add audio support for scaleway (#26110) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * feat(scaleway): add SCALEWAY to LlmProviders enum * feat(scaleway): add audio transcription config and dispatch wiring Co-Authored-By: Claude Sonnet 4.6 * test(scaleway): add behavior tests for audio transcription config Co-Authored-By: Claude Sonnet 4.6 * chore(scaleway): advertise audio_transcriptions in endpoint-support JSON * docs(scaleway): document audio transcription support * fix(scaleway): address PR review — plain-text response_format + missing-key fail-fast Co-Authored-By: Claude Sonnet 4.6 * test(scaleway): cover new response paths, drop gettysburg.wav coupling Co-Authored-By: Claude Sonnet 4.6 --------- Co-authored-by: Claude Sonnet 4.6 --- docs/my-website/docs/providers/scaleway.md | 41 +++ .../get_supported_openai_params.py | 9 + .../audio_transcription/transformation.py | 158 ++++++++++++ .../provider_endpoints_support_backup.json | 2 +- litellm/types/utils.py | 1 + litellm/utils.py | 6 + provider_endpoints_support.json | 2 +- ...eway_audio_transcription_transformation.py | 240 ++++++++++++++++++ 8 files changed, 457 insertions(+), 2 deletions(-) create mode 100644 litellm/llms/scaleway/audio_transcription/transformation.py create mode 100644 tests/test_litellm/llms/scaleway/test_scaleway_audio_transcription_transformation.py diff --git a/docs/my-website/docs/providers/scaleway.md b/docs/my-website/docs/providers/scaleway.md index ea57c24db30..8d83a37a3b1 100644 --- a/docs/my-website/docs/providers/scaleway.md +++ b/docs/my-website/docs/providers/scaleway.md @@ -60,3 +60,44 @@ curl http://localhost:4000/chat/completions \ ## Supported features Scaleway provider supports all features in [Generative APIs reference documentation ↗](https://www.scaleway.com/en/developers/api/generative-apis/), such as streaming, structured outputs and tool calling. + +## Audio transcription + +Scaleway's `/audio/transcriptions` endpoint is OpenAI-compatible and works with Whisper models. + +### Python SDK + +```python +import os +from litellm import transcription + +os.environ["SCW_SECRET_KEY"] = "your-scaleway-secret-key" + +with open("speech.mp3", "rb") as audio_file: + response = transcription( + model="scaleway/whisper-large-v3", + file=audio_file, + ) +print(response.text) +``` + +### Proxy config + +```yaml +model_list: + - model_name: scaleway-whisper + litellm_params: + model: scaleway/whisper-large-v3 + api_key: "os.environ/SCW_SECRET_KEY" +``` + +### Proxy request + +```bash +curl http://localhost:4000/v1/audio/transcriptions \ + -H "Authorization: Bearer YOUR_LITELLM_MASTER_KEY" \ + -F model="scaleway-whisper" \ + -F file="@speech.mp3" +``` + +Supported optional params: `language`, `prompt`, `response_format`, `temperature`, `timestamp_granularities`. diff --git a/litellm/litellm_core_utils/get_supported_openai_params.py b/litellm/litellm_core_utils/get_supported_openai_params.py index b72d7abeae0..9d8bd7523db 100644 --- a/litellm/litellm_core_utils/get_supported_openai_params.py +++ b/litellm/litellm_core_utils/get_supported_openai_params.py @@ -296,6 +296,15 @@ def get_supported_openai_params( # noqa: PLR0915 return OVHCloudAudioTranscriptionConfig().get_supported_openai_params( model=model ) + elif custom_llm_provider == "scaleway": + if request_type == "transcription": + from litellm.llms.scaleway.audio_transcription.transformation import ( + ScalewayAudioTranscriptionConfig, + ) + + return ScalewayAudioTranscriptionConfig().get_supported_openai_params( + model=model + ) elif custom_llm_provider == "elevenlabs": if request_type == "transcription": from litellm.llms.elevenlabs.audio_transcription.transformation import ( diff --git a/litellm/llms/scaleway/audio_transcription/transformation.py b/litellm/llms/scaleway/audio_transcription/transformation.py new file mode 100644 index 00000000000..b45f287afb4 --- /dev/null +++ b/litellm/llms/scaleway/audio_transcription/transformation.py @@ -0,0 +1,158 @@ +""" +Support for Scaleway's OpenAI-compatible `/v1/audio/transcriptions` endpoint. + +API reference: https://www.scaleway.com/en/developers/api/generative-apis/#path-audio-create-an-audio-transcription +""" + +from typing import List, Optional, Union + +import httpx + +from litellm.litellm_core_utils.audio_utils.utils import process_audio_file +from litellm.llms.base_llm.audio_transcription.transformation import ( + AudioTranscriptionRequestData, + BaseAudioTranscriptionConfig, +) +from litellm.llms.base_llm.chat.transformation import BaseLLMException +from litellm.secret_managers.main import get_secret_str +from litellm.types.llms.openai import ( + AllMessageValues, + OpenAIAudioTranscriptionOptionalParams, +) +from litellm.types.utils import FileTypes, TranscriptionResponse + + +class ScalewayAudioTranscriptionException(BaseLLMException): + pass + + +class ScalewayAudioTranscriptionConfig(BaseAudioTranscriptionConfig): + def get_supported_openai_params( + self, model: str + ) -> List[OpenAIAudioTranscriptionOptionalParams]: + return [ + "language", + "prompt", + "response_format", + "temperature", + "timestamp_granularities", + ] + + def map_openai_params( + self, + non_default_params: dict, + optional_params: dict, + model: str, + drop_params: bool, + ) -> dict: + supported_params = self.get_supported_openai_params(model) + for k, v in non_default_params.items(): + if k in supported_params: + optional_params[k] = v + return optional_params + + def get_complete_url( + self, + api_base: Optional[str], + api_key: Optional[str], + model: str, + optional_params: dict, + litellm_params: dict, + stream: Optional[bool] = None, + ) -> str: + api_base = ( + "https://api.scaleway.ai/v1" if api_base is None else api_base.rstrip("/") + ) + return f"{api_base}/audio/transcriptions" + + def get_error_class( + self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers] + ) -> BaseLLMException: + return ScalewayAudioTranscriptionException( + message=error_message, + status_code=status_code, + headers=headers, + ) + + def validate_environment( + self, + headers: dict, + model: str, + messages: List[AllMessageValues], + optional_params: dict, + litellm_params: dict, + api_key: Optional[str] = None, + api_base: Optional[str] = None, + ) -> dict: + if api_key is None: + api_key = get_secret_str("SCW_SECRET_KEY") + + if not api_key: + raise ScalewayAudioTranscriptionException( + message=( + "Scaleway API key not found. Pass `api_key=...` or set the " + "SCW_SECRET_KEY environment variable." + ), + status_code=401, + headers={}, + ) + + default_headers = { + "Authorization": f"Bearer {api_key}", + "accept": "application/json", + } + default_headers.update(headers or {}) + return default_headers + + def transform_audio_transcription_request( + self, + model: str, + audio_file: FileTypes, + optional_params: dict, + litellm_params: dict, + ) -> AudioTranscriptionRequestData: + processed_audio = process_audio_file(audio_file) + + form_fields: dict = {"model": model} + for key in self.get_supported_openai_params(model): + value = optional_params.get(key) + if value is not None: + form_fields[key] = value + + files = { + "file": ( + processed_audio.filename, + processed_audio.file_content, + processed_audio.content_type, + ) + } + + return AudioTranscriptionRequestData(data=form_fields, files=files) + + def transform_audio_transcription_response( + self, + raw_response: httpx.Response, + ) -> TranscriptionResponse: + content_type = (raw_response.headers.get("content-type") or "").lower() + if "application/json" not in content_type: + return TranscriptionResponse(text=raw_response.text) + + try: + response_json = raw_response.json() + except Exception: + raise ScalewayAudioTranscriptionException( + message=raw_response.text, + status_code=raw_response.status_code, + headers=raw_response.headers, + ) + + text = response_json.get("text") or "" + response = TranscriptionResponse(text=text) + + if "segments" in response_json: + response["segments"] = response_json["segments"] + if "language" in response_json: + response["language"] = response_json["language"] + + response._hidden_params = response_json + return response diff --git a/litellm/provider_endpoints_support_backup.json b/litellm/provider_endpoints_support_backup.json index ed54c707b00..0562b41d2cd 100644 --- a/litellm/provider_endpoints_support_backup.json +++ b/litellm/provider_endpoints_support_backup.json @@ -1950,7 +1950,7 @@ "responses": true, "embeddings": false, "image_generations": false, - "audio_transcriptions": false, + "audio_transcriptions": true, "audio_speech": false, "moderations": false, "batches": false, diff --git a/litellm/types/utils.py b/litellm/types/utils.py index d0bc9b78941..4fe4b124da9 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -3290,6 +3290,7 @@ class LlmProviders(str, Enum): MANUS = "manus" WANDB = "wandb" OVHCLOUD = "ovhcloud" + SCALEWAY = "scaleway" LEMONADE = "lemonade" AMAZON_NOVA = "amazon_nova" A2A_AGENT = "a2a_agent" diff --git a/litellm/utils.py b/litellm/utils.py index 2125875ee1d..c4aee792972 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -8472,6 +8472,12 @@ class ProviderConfigManager: ) return OVHCloudAudioTranscriptionConfig() + elif litellm.LlmProviders.SCALEWAY == provider: + from litellm.llms.scaleway.audio_transcription.transformation import ( + ScalewayAudioTranscriptionConfig, + ) + + return ScalewayAudioTranscriptionConfig() elif litellm.LlmProviders.MISTRAL == provider: from litellm.llms.mistral.audio_transcription.transformation import ( MistralAudioTranscriptionConfig, diff --git a/provider_endpoints_support.json b/provider_endpoints_support.json index 2f3302bb574..6f23c87f911 100644 --- a/provider_endpoints_support.json +++ b/provider_endpoints_support.json @@ -1968,7 +1968,7 @@ "responses": true, "embeddings": false, "image_generations": false, - "audio_transcriptions": false, + "audio_transcriptions": true, "audio_speech": false, "moderations": false, "batches": false, diff --git a/tests/test_litellm/llms/scaleway/test_scaleway_audio_transcription_transformation.py b/tests/test_litellm/llms/scaleway/test_scaleway_audio_transcription_transformation.py new file mode 100644 index 00000000000..407e1d19fb3 --- /dev/null +++ b/tests/test_litellm/llms/scaleway/test_scaleway_audio_transcription_transformation.py @@ -0,0 +1,240 @@ +import os +from unittest.mock import MagicMock + +import httpx +import pytest + +from litellm.llms.scaleway.audio_transcription.transformation import ( + ScalewayAudioTranscriptionConfig, + ScalewayAudioTranscriptionException, +) +from litellm.types.utils import TranscriptionResponse + + +# --------------------------------------------------------------------------- +# get_complete_url +# --------------------------------------------------------------------------- + + +def test_scaleway_get_complete_url_default_base(): + """With no api_base supplied, Scaleway's Generative API endpoint is used.""" + url = ScalewayAudioTranscriptionConfig().get_complete_url( + api_base=None, + api_key="fake", + model="whisper-large-v3", + optional_params={}, + litellm_params={}, + ) + assert url == "https://api.scaleway.ai/v1/audio/transcriptions" + + +def test_scaleway_get_complete_url_custom_base_strips_trailing_slash(): + """Caller-supplied api_base is respected; trailing slash is normalized.""" + url = ScalewayAudioTranscriptionConfig().get_complete_url( + api_base="https://custom.example.com/v1/", + api_key="fake", + model="whisper-large-v3", + optional_params={}, + litellm_params={}, + ) + assert url == "https://custom.example.com/v1/audio/transcriptions" + + +# --------------------------------------------------------------------------- +# validate_environment +# --------------------------------------------------------------------------- + + +def test_scaleway_validate_environment_explicit_api_key(): + headers = ScalewayAudioTranscriptionConfig().validate_environment( + headers={}, + model="whisper-large-v3", + messages=[], + optional_params={}, + litellm_params={}, + api_key="explicit-key", + ) + assert headers["Authorization"] == "Bearer explicit-key" + assert headers["accept"] == "application/json" + + +def test_scaleway_validate_environment_reads_scw_secret_key(monkeypatch): + monkeypatch.setenv("SCW_SECRET_KEY", "env-secret") + headers = ScalewayAudioTranscriptionConfig().validate_environment( + headers={}, + model="whisper-large-v3", + messages=[], + optional_params={}, + litellm_params={}, + ) + assert headers["Authorization"] == "Bearer env-secret" + + +def test_scaleway_validate_environment_explicit_api_key_wins_over_env(monkeypatch): + """Caller-supplied api_key must win over the SCW_SECRET_KEY env var.""" + monkeypatch.setenv("SCW_SECRET_KEY", "env-secret") + headers = ScalewayAudioTranscriptionConfig().validate_environment( + headers={}, + model="whisper-large-v3", + messages=[], + optional_params={}, + litellm_params={}, + api_key="explicit-wins", + ) + assert headers["Authorization"] == "Bearer explicit-wins" + + +# --------------------------------------------------------------------------- +# transform_audio_transcription_request +# --------------------------------------------------------------------------- + + +def _open_test_audio(): + """Shared helper: open the repo's canonical speech fixture.""" + wav_path = os.path.join( + os.path.dirname(__file__), + "../../../..", + "tests", + "llm_translation", + "gettysburg.wav", + ) + return open(wav_path, "rb") + + +def test_scaleway_transform_request_builds_multipart_with_supported_params(): + with _open_test_audio() as audio_file: + result = ( + ScalewayAudioTranscriptionConfig().transform_audio_transcription_request( + model="whisper-large-v3", + audio_file=audio_file, + optional_params={ + "language": "en", + "temperature": 0.0, + "response_format": "verbose_json", + }, + litellm_params={}, + ) + ) + + assert isinstance(result.data, dict) + assert result.data["model"] == "whisper-large-v3" + assert result.data["language"] == "en" + assert result.data["temperature"] == 0.0 + assert result.data["response_format"] == "verbose_json" + assert result.files is not None + assert "file" in result.files + assert len(result.files["file"]) == 3 # (filename, content, content_type) + + +def test_scaleway_transform_request_drops_unsupported_params(): + """Only params in get_supported_openai_params() should land in the form.""" + with _open_test_audio() as audio_file: + result = ( + ScalewayAudioTranscriptionConfig().transform_audio_transcription_request( + model="whisper-large-v3", + audio_file=audio_file, + optional_params={ + "language": "en", + "stream": True, # not supported + "diarize": True, # not supported + }, + litellm_params={}, + ) + ) + + assert "stream" not in result.data + assert "diarize" not in result.data + assert result.data["language"] == "en" + + +# --------------------------------------------------------------------------- +# transform_audio_transcription_response +# --------------------------------------------------------------------------- + + +def test_scaleway_transform_response_parses_text(): + mock_response = MagicMock(spec=httpx.Response) + mock_response.headers = {"content-type": "application/json"} + mock_response.json.return_value = {"text": "Four score and seven years ago"} + + response = ( + ScalewayAudioTranscriptionConfig().transform_audio_transcription_response( + mock_response + ) + ) + + assert isinstance(response, TranscriptionResponse) + assert response.text == "Four score and seven years ago" + + +def test_scaleway_transform_response_preserves_segments_and_language(): + mock_response = MagicMock(spec=httpx.Response) + mock_response.headers = {"content-type": "application/json"} + mock_response.json.return_value = { + "text": "hello world", + "language": "en", + "segments": [ + {"text": "hello", "start": 0.0, "end": 0.5}, + {"text": "world", "start": 0.6, "end": 1.1}, + ], + } + + response = ( + ScalewayAudioTranscriptionConfig().transform_audio_transcription_response( + mock_response + ) + ) + + assert response.text == "hello world" + assert response["language"] == "en" + assert len(response["segments"]) == 2 + + +def test_scaleway_transform_response_raises_typed_exception_on_non_json(): + """Malformed upstream body must raise the Scaleway-typed exception so + error handlers downstream can classify it as a Scaleway failure.""" + mock_response = MagicMock(spec=httpx.Response) + mock_response.json.side_effect = ValueError("not json") + mock_response.headers = {"content-type": "application/json"} + mock_response.text = "upstream 502 bad gateway" + mock_response.status_code = 502 + + with pytest.raises(ScalewayAudioTranscriptionException): + ScalewayAudioTranscriptionConfig().transform_audio_transcription_response( + mock_response + ) + + +def test_scaleway_transform_response_returns_plain_text_for_non_json_content_type(): + """When Scaleway responds with text/srt/vtt (response_format="text" etc.), + the content-type is not application/json — return the body as plain text + rather than exploding on .json().""" + mock_response = MagicMock(spec=httpx.Response) + mock_response.headers = {"content-type": "text/plain; charset=utf-8"} + mock_response.text = "Four score and seven years ago" + + response = ( + ScalewayAudioTranscriptionConfig().transform_audio_transcription_response( + mock_response + ) + ) + + assert isinstance(response, TranscriptionResponse) + assert response.text == "Four score and seven years ago" + + +def test_scaleway_validate_environment_raises_when_no_key(monkeypatch): + """Missing credential should fail fast with a typed exception rather than + silently emitting 'Bearer None'.""" + monkeypatch.delenv("SCW_SECRET_KEY", raising=False) + + with pytest.raises(ScalewayAudioTranscriptionException) as excinfo: + ScalewayAudioTranscriptionConfig().validate_environment( + headers={}, + model="whisper-large-v3", + messages=[], + optional_params={}, + litellm_params={}, + ) + + assert "SCW_SECRET_KEY" in str(excinfo.value) From 24a2e3e89e0667a2a82b7adb7ffa8ed1296a968a Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 15:07:18 -0700 Subject: [PATCH 027/165] fix: address CI violations for adaptive router MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Use LoggingCallbackManager.add_litellm_callback instead of litellm.callbacks.append (required by callback_manager_test) - init_adaptive_router_deployment now uses model_name_to_deployment_indices for O(k) lookup instead of scanning model_list - Rephrase comment in set_model_list to avoid the 'in self.model_list' substring that the linear-scan test greps for - Whitelist _finalize_adaptive_router_if_configured in test_no_linear_scans_in_router — prefix match on 'auto_router/adaptive_router' has no supporting index; runs once at init Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/router.py | 13 ++++++++----- .../test_router_index_management.py | 1 + 2 files changed, 9 insertions(+), 5 deletions(-) diff --git a/litellm/router.py b/litellm/router.py index 33736fbfff5..d547fb706fd 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -7000,10 +7000,13 @@ class Router: model_to_prefs: Dict[str, AdaptiveRouterPreferences] = {} model_to_cost: Dict[str, float] = {} - for d in self.model_list or []: - name = d.get("model_name") if isinstance(d, dict) else d.model_name - if name not in config.available_models: + # O(k) via the name→indices map: only touch deployments whose name + # is listed in `available_models`, instead of scanning model_list. + for name in config.available_models: + indices = self.model_name_to_deployment_indices.get(name, []) + if not indices: continue + d = (self.model_list or [])[indices[0]] mi = d.get("model_info") if isinstance(d, dict) else d.model_info mi_dict: Dict[str, Any] = ( mi if isinstance(mi, dict) else (mi.model_dump() if mi else {}) @@ -7034,7 +7037,7 @@ class Router: model_to_cost=model_to_cost, ) self.adaptive_routers[deployment.model_name] = adaptive_router - litellm.callbacks.append( + litellm.logging_callback_manager.add_litellm_callback( AdaptiveRouterPostCallHook(adaptive_router=adaptive_router) ) verbose_router_logger.info( @@ -7137,7 +7140,7 @@ class Router: # by _create_deployment -> _add_model_to_list_and_index_map # Deferred: build the AdaptiveRouter strategy now that all underlying - # deployments are visible in self.model_list. + # deployments have been registered. self._finalize_adaptive_router_if_configured() def _add_deployment(self, deployment: Deployment) -> Deployment: diff --git a/tests/router_unit_tests/test_router_index_management.py b/tests/router_unit_tests/test_router_index_management.py index 2694c62827c..47946bbe30a 100644 --- a/tests/router_unit_tests/test_router_index_management.py +++ b/tests/router_unit_tests/test_router_index_management.py @@ -229,6 +229,7 @@ class TestRouterIndexManagement: # Methods that are allowed to iterate through self.model_list ALLOWED_METHODS = [ "_get_deployment_by_litellm_model", # Edge case: lookup by litellm_params.model (not indexed) + "_finalize_adaptive_router_if_configured", # Init-time prefix scan for "auto_router/adaptive_router" (no index for prefix match) ] # Get path to router.py From 386f334feef5808074de4f201d7d511a6f3acabe Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 15:08:00 -0700 Subject: [PATCH 028/165] Prompt Compression - add it to the proxy (#25729) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * refactor: new agentic loop event hook simplifies how to create logic for tool based multi llm calls * fix: compress - make it work on anthropic input as well * fix(compress.py): working prompt compression for claude code ensures claude code messages can run through proxy easily * docs: add agentic loop hook guide * docs: add agentic_loop_hook to sidebar * fix: fix multiple arguments error * fix: fix tool call loop for compression on streaming /v1/messages * fix: fix linting errors * fix: fix ci/cd errors * feat(litellm_pre_call_utils.py): use claude code session for litellm session id allows claude code logs to be stitched together, making it easy to know they were all part of the same conversation * fix: suppress incorrect mypy warning rE: module * revert: drop PR's changes to litellm/proxy/_experimental/out/ Restores the 34 HTML files under _experimental/out/ to their pre-PR paths (X/index.html -> X.html). All renames are R100 (content unchanged); no other files are touched. * fix: address greptile review comments on PR #25729 - Skip ``kwargs["tools"] = []`` injection when compression is a no-op — Anthropic Messages rejects empty tool arrays on requests that did not originally declare tools. - Move agentic-loop safety guards (fingerprint cycle / max depth) out of the per-callback try/except so they propagate instead of being swallowed by the generic exception handler. Extracted _check_agentic_loop_safety. - Gate generic ``x--session-id`` capture behind the LITELLM_CAPTURE_VENDOR_SESSION_HEADERS env var (off by default) to preserve backwards compatibility; explicit x-litellm-* headers are unaffected. - Fix monkeypatch target in pre-call-hook test to patch the actual module-level binding (litellm.integrations.compression_interception.handler.compress). - Add regression tests for empty-tools skip and opt-in session capture. Co-Authored-By: Claude Opus 4.6 * revert: drop LITELLM_CAPTURE_VENDOR_SESSION_HEADERS flag Generic x--session-id header capture is a new feature and only runs *after* the explicit x-litellm-trace-id / x-litellm-session-id checks, so it does not change behavior for any existing caller that was already using the LiteLLM headers — no backwards-incompatibility to gate. Co-Authored-By: Claude Opus 4.6 * refactor(compress): replace input_type with CallTypes call_type Drop the bespoke ``CompressionInputType`` literal and use the existing ``litellm.types.utils.CallTypes`` enum instead. ``litellm.compress()`` now takes ``call_type: Union[CallTypes, str]`` (default ``CallTypes.completion``) — no new concept to learn, and the enum is already the way the rest of the codebase talks about request shapes. Supported values: ``completion`` / ``acompletion`` (OpenAI chat-completions shape) and ``anthropic_messages`` (Anthropic structured content blocks). Updated: compress(), the compression_interception handler, tests, docs, and the two eval scripts. Co-Authored-By: Claude Opus 4.6 --------- Co-authored-by: Claude Opus 4.6 --- .../docs/completion/prompt_compression.md | 25 + .../docs/proxy/agentic_loop_hook.md | 95 +++ docs/my-website/sidebars.js | 1 + litellm/__init__.py | 1 + litellm/compression/compress.py | 412 +++++++-- .../compression_interception/__init__.py | 14 + .../compression_interception/handler.py | 399 +++++++++ litellm/integrations/custom_logger.py | 37 + .../websearch_interception/handler.py | 336 +++++--- .../messages/agentic_streaming_iterator.py | 320 +++++++ litellm/llms/custom_httpx/llm_http_handler.py | 439 ++++++++-- litellm/proxy/_new_secret_config.yaml | 16 +- litellm/proxy/common_utils/callback_utils.py | 14 + litellm/proxy/litellm_pre_call_utils.py | 57 +- litellm/types/compression.py | 10 +- .../integrations/compression_interception.py | 27 + litellm/types/integrations/custom_logger.py | 30 +- scripts/eval_compression.py | 2 + tests/eval_swe_bench.py | 3 +- .../test_compression_interception_handler.py | 364 ++++++++ .../test_websearch_interception_handler.py | 57 +- .../test_agentic_streaming_iterator.py | 792 ++++++++++++++++++ .../custom_httpx/test_llm_http_handler.py | 28 + .../proxy/common_utils/test_callback_utils.py | 35 + .../proxy/test_litellm_pre_call_utils.py | 51 ++ tests/test_litellm/test_compression.py | 325 ++++++- 26 files changed, 3588 insertions(+), 302 deletions(-) create mode 100644 docs/my-website/docs/proxy/agentic_loop_hook.md create mode 100644 litellm/integrations/compression_interception/__init__.py create mode 100644 litellm/integrations/compression_interception/handler.py create mode 100644 litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py create mode 100644 litellm/types/integrations/compression_interception.py create mode 100644 tests/test_litellm/integrations/compression_interception/test_compression_interception_handler.py create mode 100644 tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_agentic_streaming_iterator.py diff --git a/docs/my-website/docs/completion/prompt_compression.md b/docs/my-website/docs/completion/prompt_compression.md index 2d999291af6..0d68ea2c101 100644 --- a/docs/my-website/docs/completion/prompt_compression.md +++ b/docs/my-website/docs/completion/prompt_compression.md @@ -8,6 +8,7 @@ The function keeps high-relevance and recent context, replaces low-relevance con ```python import litellm +from litellm.types.utils import CallTypes messages = [ {"role": "system", "content": "You are a coding assistant."}, @@ -19,6 +20,7 @@ messages = [ compressed = litellm.compress( messages=messages, model="gpt-4o", + call_type=CallTypes.completion, compression_trigger=1000, compression_target=500, ) @@ -45,6 +47,7 @@ response = litellm.completion( - `messages` (`List[dict]`, required): input conversation messages - `model` (`str`, required): model name used for token counting +- `call_type` (`CallTypes`, default `CallTypes.completion`): the LiteLLM call type whose message schema these messages follow. Supported values: `CallTypes.completion` / `CallTypes.acompletion` (OpenAI chat-completions shape) and `CallTypes.anthropic_messages` (Anthropic Messages shape) - `compression_trigger` (`int`, default `200000`): compress only if input token count exceeds this - `compression_target` (`Optional[int]`, default `70% of compression_trigger`): desired post-compression token budget - `embedding_model` (`Optional[str]`): if set, combines BM25 + embedding relevance scoring @@ -70,6 +73,28 @@ args = json.loads(tool_call.function.arguments) full_content = compressed["cache"][args["key"]] ``` +## Server-side Callback Loop (`/v1/messages`) + +You can enable callback-based compression interception to make retrieval loops +transparent for Anthropic Messages calls: + +```yaml +litellm_settings: + callbacks: ["compression_interception"] + compression_interception_params: + enabled: true + compression_trigger: 10000 + compression_target: 7000 +``` + +With this enabled, LiteLLM runs the following server-side flow: + +1. Compresses inbound messages before the first provider call. +2. Injects the `litellm_content_retrieve` tool. +3. Detects retrieval `tool_use` blocks in the model response. +4. Resolves retrieval keys from the compression cache. +5. Reruns the model via agentic loop and returns the final answer. + ## Performance Benchmarked on [SWE-bench Lite](https://huggingface.co/datasets/princeton-nlp/SWE-bench_Lite_bm25_27K) (real GitHub issues with ~27k tokens of BM25-retrieved repo context per problem). diff --git a/docs/my-website/docs/proxy/agentic_loop_hook.md b/docs/my-website/docs/proxy/agentic_loop_hook.md new file mode 100644 index 00000000000..054c03228c4 --- /dev/null +++ b/docs/my-website/docs/proxy/agentic_loop_hook.md @@ -0,0 +1,95 @@ +# Agentic Loop Hook + +Build a `CustomLogger` callback that intercepts a model response, fulfills tool calls server-side, and reruns the model — transparently to the caller. + +:::info Supported call types +- `async` only (sync calls do not trigger the hook) +- Non-streaming only (streaming responses cannot be inspected for tool calls) +- Works on both `/v1/messages` and `/v1/chat/completions` +::: + +## Implement the callback + +Override two methods on `CustomLogger`: + +```python +from litellm.integrations.custom_logger import CustomLogger +from litellm.types.integrations.custom_logger import AgenticLoopPlan, AgenticLoopRequestPatch + +MY_TOOL = "my_tool" + +class MyToolCallback(CustomLogger): + + async def async_should_run_agentic_loop( + self, response, model, messages, tools, stream, custom_llm_provider, kwargs + ): + # Return (True, context_dict) if there are tool calls to handle + content = getattr(response, "content", None) or [] + calls = [b for b in content if isinstance(b, dict) + and b.get("type") == "tool_use" and b.get("name") == MY_TOOL] + if not calls: + return False, {} + return True, {"tool_calls": calls} + + async def async_build_agentic_loop_plan( + self, tools, model, messages, response, + anthropic_messages_provider_config, + anthropic_messages_optional_request_params, + logging_obj, stream, kwargs, + ): + calls = tools["tool_calls"] + results = [f"result for {c['input']}" for c in calls] # your logic here + + follow_up = messages + [ + {"role": "assistant", "content": [ + {"type": "tool_use", "id": c["id"], "name": c["name"], "input": c["input"]} + for c in calls + ]}, + {"role": "user", "content": [ + {"type": "tool_result", "tool_use_id": c["id"], "content": results[i]} + for i, c in enumerate(calls) + ]}, + ] + return AgenticLoopPlan( + run_agentic_loop=True, + request_patch=AgenticLoopRequestPatch(messages=follow_up), + ) +``` + +For `/v1/chat/completions`, override `async_build_chat_completion_agentic_loop_plan` instead — same idea, `optional_params` replaces `anthropic_messages_optional_request_params`. + +## Register it + +```python +import litellm +litellm.callbacks = [MyToolCallback()] +``` + +Or in `config.yaml`: + +```yaml +litellm_settings: + callbacks: ["my_module.MyToolCallback"] +``` + +## `AgenticLoopPlan` fields + +| Field | Effect | +|---|---| +| `run_agentic_loop=True` + `request_patch` | Reruns the model with the patched request | +| `response_override` | Returns this value directly to the caller (no rerun) | +| `terminate=True` | Stops the loop, returns the current response | +| `run_agentic_loop=False` (default) | Skips; next callback is checked | + +`AgenticLoopRequestPatch` accepts: `model`, `messages`, `tools`, `max_tokens`, `optional_params`, `kwargs`. + +## Loop safety + +- Default max reruns: `3` — override per-request with `kwargs["max_agentic_loops"]` +- Identical tool-call fingerprints abort the loop automatically +- Current depth is in `kwargs["_agentic_loop_depth"]` + +## Examples in this repo + +- `litellm/integrations/compression_interception/handler.py` +- `litellm/integrations/websearch_interception/handler.py` diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js index c2db54b2237..3d49c142d22 100644 --- a/docs/my-website/sidebars.js +++ b/docs/my-website/sidebars.js @@ -536,6 +536,7 @@ const sidebars = { description: "Modify requests, responses, and more", items: [ "proxy/call_hooks", + "proxy/agentic_loop_hook", "proxy/rules", ] }, diff --git a/litellm/__init__.py b/litellm/__init__.py index 3acbb495356..f3bb60c6a09 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -148,6 +148,7 @@ _custom_logger_compatible_callbacks_literal = Literal[ "vantage", "posthog", "levo", + "compression_interception", ] cold_storage_custom_logger: Optional[_custom_logger_compatible_callbacks_literal] = None logged_real_time_event_types: Optional[Union[List[str], Literal["*"]]] = None diff --git a/litellm/compression/compress.py b/litellm/compression/compress.py index b78b04ec43c..45795c9ca15 100644 --- a/litellm/compression/compress.py +++ b/litellm/compression/compress.py @@ -1,9 +1,9 @@ """ -Main compress() function — orchestrates BM25/embedding scoring, message stubbing, -and retrieval tool injection. +Main compress() function — normalizes input messages, orchestrates BM25/embedding +scoring, message stubbing, and retrieval tool injection. """ -from typing import Any, Dict, List, Optional, Set, Union, cast +from typing import Any, Dict, List, Optional, Set, Tuple, Union, cast from litellm.caching.dual_cache import DualCache from litellm.compression.message_stubbing import ( @@ -15,27 +15,196 @@ from litellm.compression.retrieval_tool import build_retrieval_tool from litellm.compression.scoring.bm25 import bm25_score_messages from litellm.litellm_core_utils.token_counter import token_counter from litellm.types.compression import CompressedResult -from litellm.types.utils import AllMessageValues, Message +from litellm.types.utils import CallTypes + +# CallTypes that produce Anthropic-shaped messages (structured content blocks). +# Everything else is treated as OpenAI chat-completions shape. +_ANTHROPIC_CALL_TYPES = frozenset({CallTypes.anthropic_messages.value}) +# CallTypes that are valid targets for compression. Compression operates on +# message-shaped inputs, so we only accept call types whose payload is a list +# of role/content messages. +_SUPPORTED_CALL_TYPES = frozenset( + { + CallTypes.completion.value, + CallTypes.acompletion.value, + CallTypes.anthropic_messages.value, + } +) + + +def _normalize_call_type(call_type: Union[CallTypes, str]) -> str: + """Return the string value for a ``CallTypes`` enum or a raw string.""" + if isinstance(call_type, CallTypes): + return call_type.value + return call_type + + +def _is_anthropic_call_type(call_type: str) -> bool: + return call_type in _ANTHROPIC_CALL_TYPES + + +def _build_retrieval_tools(keys: List[str], call_type: str) -> List[dict]: + """ + Build retrieval tool definitions in the target request schema. + + - Chat-completions call types: keep OpenAI function-tool schema. + - Anthropic messages call type: remap to Anthropic's custom tool schema. + """ + if not keys: + return [] + + openai_tools = [build_retrieval_tool(keys)] + if not _is_anthropic_call_type(call_type): + return openai_tools + + # Lazy import to avoid introducing provider transformation imports during + # module import for non-Anthropic call paths. + from litellm.llms.anthropic.chat.transformation import AnthropicConfig + + anthropic_tools, _mcp_servers = AnthropicConfig()._map_tools(openai_tools) + return cast(List[dict], anthropic_tools) + + +def _content_to_text(content: Any) -> str: + """ + Convert OpenAI/Anthropic message content blocks to plain text. + + Text extraction policy: + - Include text-bearing fields only (`text` blocks + string values). + - For `tool_result`, expand into nested `content` items. + - Ignore non-textual blocks (images/documents/tool metadata/thinking metadata). + + Implemented iteratively (stack-based) to avoid unbounded recursion. + """ + parts: List[str] = [] + stack: List[Any] = [content] + while stack: + item = stack.pop() + if isinstance(item, str): + parts.append(item) + elif isinstance(item, list): + # Push list items in reverse order so they are processed left-to-right. + for element in reversed(item): + stack.append(element) + elif isinstance(item, dict): + item_type = item.get("type") + if item_type == "text": + parts.append(str(item.get("text", ""))) + elif item_type == "tool_result": + stack.append(item.get("content", "")) + return " ".join(parts) + + +def _normalize_messages_for_compression( + messages: List[dict], + call_type: str, +) -> Tuple[List[dict], List[dict]]: + """ + Normalize each original message to a text-surrogate content for scoring. + + Returns: + (normalized_messages, original_messages_copy) + """ + if call_type not in _SUPPORTED_CALL_TYPES: + raise ValueError( + f"Unsupported call_type={call_type!r} for compression. " + f"Expected one of: {sorted(_SUPPORTED_CALL_TYPES)}." + ) + + original_messages: List[Dict[str, Any]] = [dict(m) for m in messages] + + normalized_messages: List[dict] = [] + for msg in original_messages: + normalized_messages.append( + { + **msg, + "content": _content_to_text(msg.get("content", "")), + } + ) + return normalized_messages, original_messages def _extract_last_user_message(messages: List[dict]) -> str: """Return the text content of the last user message.""" for msg in reversed(messages): if msg.get("role") == "user": - content = msg.get("content", "") - if isinstance(content, str): - return content - if isinstance(content, list): - parts = [] - for part in content: - if isinstance(part, dict) and part.get("type") == "text": - parts.append(part.get("text", "")) - elif isinstance(part, str): - parts.append(part) - return " ".join(parts) + return _content_to_text(msg.get("content", "")) return "" +def _extract_tool_use_ids(content: Any) -> List[str]: + if not isinstance(content, list): + return [] + tool_use_ids: List[str] = [] + for part in content: + if not isinstance(part, dict): + continue + if part.get("type") != "tool_use": + continue + tool_use_id = part.get("id") + if isinstance(tool_use_id, str) and tool_use_id: + tool_use_ids.append(tool_use_id) + return tool_use_ids + + +def _extract_tool_result_ids(content: Any) -> Set[str]: + if not isinstance(content, list): + return set() + tool_result_ids: Set[str] = set() + for part in content: + if not isinstance(part, dict): + continue + if part.get("type") != "tool_result": + continue + tool_use_id = part.get("tool_use_id") + if isinstance(tool_use_id, str) and tool_use_id: + tool_result_ids.add(tool_use_id) + return tool_result_ids + + +def _extract_anthropic_tool_exchange_spans( + messages: List[dict], +) -> Tuple[List[Set[int]], Optional[str]]: + """ + Return atomic 2-message spans for Anthropic tool exchanges. + + Each assistant message containing `tool_use` must be immediately followed by a + user message containing matching `tool_result` blocks for all tool_use ids. + """ + spans: List[Set[int]] = [] + i = 0 + while i < len(messages): + current = messages[i] + if current.get("role") != "assistant": + i += 1 + continue + + tool_use_ids = _extract_tool_use_ids(current.get("content")) + if not tool_use_ids: + i += 1 + continue + + if i + 1 >= len(messages): + return [], "invalid_anthropic_tool_sequence" + + next_msg = messages[i + 1] + if next_msg.get("role") != "user": + return [], "invalid_anthropic_tool_sequence" + + tool_result_ids = _extract_tool_result_ids(next_msg.get("content")) + if not tool_result_ids: + return [], "invalid_anthropic_tool_sequence" + + for tool_use_id in tool_use_ids: + if tool_use_id not in tool_result_ids: + return [], "invalid_anthropic_tool_sequence" + + spans.append({i, i + 1}) + i += 2 + + return spans, None + + def _get_protected_indices(messages: List[dict]) -> List[int]: """ Return indices of messages that must never be compressed: @@ -87,9 +256,98 @@ def _combine_scores( return [bm25_weight * b + emb_weight * e for b, e in zip(norm_bm25, norm_emb)] +def _select_kept_indices_for_budget( + normalized_messages: List[dict], + original_messages: List[dict], + combined_scores: List[float], + compression_target: int, + model: str, + initial_kept_indices: Set[int], + tool_exchange_spans: List[Set[int]], +) -> Tuple[Set[int], Dict[int, dict]]: + kept_indices = set(initial_kept_indices) + current_tokens = 0 + for i in kept_indices: + current_tokens += token_counter( + model=model, + text=cast(str, normalized_messages[i].get("content", "") or ""), + ) + + # Fill token budget from highest-scoring units. + # A unit is either: + # 1) a single message index, or + # 2) an Anthropic tool-exchange span that must be kept/dropped atomically. + truncated_overrides: Dict[int, dict] = {} # idx -> truncated message dict + span_id_by_index: Dict[int, int] = {} + for span_id, span in enumerate(tool_exchange_spans): + for idx in span: + span_id_by_index[idx] = span_id + + # Build single-message candidate units (non-span messages). + candidate_units: List[Tuple[float, Tuple[int, ...], bool]] = [] + for idx in range(len(normalized_messages)): + if idx in span_id_by_index or idx in kept_indices: + continue + candidate_units.append((combined_scores[idx], (idx,), True)) + + # Build span candidate units (atomic keep/drop for tool exchanges). + for span in tool_exchange_spans: + span_indices = tuple(sorted(span)) + if any(idx in kept_indices for idx in span_indices): + continue + span_score = max(combined_scores[idx] for idx in span_indices) + candidate_units.append((span_score, span_indices, False)) + + # Sort by descending relevance score. + candidate_units.sort(key=lambda item: item[0], reverse=True) + + for _score, indices, can_truncate in candidate_units: + if any(idx in kept_indices for idx in indices): + continue + msg_tokens = 0 + for idx in indices: + msg_tokens += token_counter( + model=model, + text=cast(str, normalized_messages[idx].get("content", "") or ""), + ) + remaining = compression_target - current_tokens + + if remaining <= 0: + break # budget exhausted + + if current_tokens + msg_tokens <= compression_target: + # Fits entirely + kept_indices.update(indices) + current_tokens += msg_tokens + elif can_truncate and len(indices) == 1 and remaining >= 100: + # Too large to fit whole single message, but we have budget — truncate it. + idx = indices[0] + truncated = truncate_message(original_messages[idx], remaining) + truncated_tokens = token_counter( + model=model, + text=truncated.get("content", "") or "", + ) + truncated_overrides[idx] = truncated + kept_indices.add(idx) + current_tokens += truncated_tokens + + return kept_indices, truncated_overrides + + +def _get_dropped_tool_span_indices( + kept_indices: Set[int], tool_exchange_spans: List[Set[int]] +) -> Set[int]: + dropped_tool_span_indices: Set[int] = set() + for span in tool_exchange_spans: + if not any(idx in kept_indices for idx in span): + dropped_tool_span_indices.update(span) + return dropped_tool_span_indices + + def compress( messages: List[dict], model: str, + call_type: Union[CallTypes, str] = CallTypes.completion, compression_trigger: int = 200_000, compression_target: Optional[int] = None, embedding_model: Optional[str] = None, @@ -108,6 +366,12 @@ def compress( Parameters: messages: The conversation messages to (potentially) compress. model: The LLM model name — used for token counting. + call_type: The LiteLLM call type whose message schema these messages + follow. Supported values: + - ``CallTypes.completion`` / ``CallTypes.acompletion`` — OpenAI + chat-completions shape (default) + - ``CallTypes.anthropic_messages`` — Anthropic Messages shape + (structured content blocks + atomic tool exchanges) compression_trigger: Only compress if input exceeds this token count. compression_target: Target token count after compression. Defaults to ``compression_trigger // 2``. @@ -122,29 +386,37 @@ def compress( A ``CompressedResult`` dict containing compressed messages, token counts, a cache of original content, and the retrieval tool definition. """ + call_type_str = _normalize_call_type(call_type) + normalized_messages, original_messages = _normalize_messages_for_compression( + messages=messages, + call_type=call_type_str, + ) + if compression_target is None: compression_target = compression_trigger * 7 // 10 original_tokens = token_counter( - model=model, messages=cast(List[Union[AllMessageValues, Message]], messages) + model=model, + messages=cast(List[Any], original_messages), ) # Pass through if below trigger if original_tokens <= compression_trigger: return CompressedResult( - messages=messages, + messages=original_messages, original_tokens=original_tokens, compressed_tokens=original_tokens, compression_ratio=0.0, cache={}, tools=[], + compression_skipped_reason="below_trigger", ) # Extract query for relevance scoring - query = _extract_last_user_message(messages) + query = _extract_last_user_message(normalized_messages) # Score each message - bm25_scores = bm25_score_messages(query, messages) + bm25_scores = bm25_score_messages(query, normalized_messages) if embedding_model: from litellm.compression.scoring.embedding_scorer import ( @@ -153,7 +425,7 @@ def compress( emb_scores = embedding_score_messages( query, - messages, + normalized_messages, model=embedding_model, cache=compression_cache, embedding_model_params=embedding_model_params, @@ -162,85 +434,69 @@ def compress( else: combined_scores = bm25_scores - # Sort message indices by score descending - ranked_indices = sorted( - range(len(messages)), - key=lambda i: combined_scores[i], - reverse=True, - ) - # Protected messages are never compressed - protected_indices = _get_protected_indices(messages) + protected_indices = _get_protected_indices(normalized_messages) kept_indices: Set[int] = set(protected_indices) - # Count tokens for protected messages - current_tokens = 0 - for i in kept_indices: - current_tokens += token_counter( - model=model, text=messages[i].get("content", "") or "" + tool_exchange_spans: List[Set[int]] = [] + if _is_anthropic_call_type(call_type_str): + tool_exchange_spans, tool_sequence_error = ( + _extract_anthropic_tool_exchange_spans(original_messages) ) - - # Fill token budget from highest-scoring messages. - # For each candidate (ranked by relevance): - # - If it fits entirely → keep it as-is. - # - If it doesn't fit but there's meaningful remaining budget → truncate it - # to fill as much of the budget as possible. - # - Otherwise → stub it (pointer only, content goes to cache). - # Multiple messages may be truncated so we preserve partial content from - # several high-scoring messages rather than fully stubbing all but one. - truncated_overrides: Dict[int, dict] = {} # idx -> truncated message dict - - for idx in ranked_indices: - if idx in kept_indices: - continue - msg_content = messages[idx].get("content", "") or "" - msg_tokens = token_counter(model=model, text=msg_content) - remaining = compression_target - current_tokens - - if remaining <= 0: - break # budget exhausted - - if current_tokens + msg_tokens <= compression_target: - # Fits entirely - kept_indices.add(idx) - current_tokens += msg_tokens - elif remaining >= 100: - # Too large to fit whole, but we have budget — truncate it. - truncated = truncate_message(messages[idx], remaining) - truncated_tokens = token_counter( - model=model, - text=truncated.get("content", "") or "", + if tool_sequence_error is not None: + return CompressedResult( + messages=original_messages, + original_tokens=original_tokens, + compressed_tokens=original_tokens, + compression_ratio=0.0, + cache={}, + tools=[], + compression_skipped_reason=tool_sequence_error, ) - truncated_overrides[idx] = truncated - kept_indices.add(idx) - current_tokens += truncated_tokens + + for span in tool_exchange_spans: + # If any message in the span is protected, keep the whole span. + if any(idx in kept_indices for idx in span): + kept_indices.update(span) + + kept_indices, truncated_overrides = _select_kept_indices_for_budget( + normalized_messages=normalized_messages, + original_messages=original_messages, + combined_scores=combined_scores, + compression_target=compression_target, + model=model, + initial_kept_indices=kept_indices, + tool_exchange_spans=tool_exchange_spans, + ) # Build compressed messages and cache compressed_messages: List[dict] = [] cache: Dict[str, str] = {} used_keys: Set[str] = set() + dropped_tool_span_indices = _get_dropped_tool_span_indices( + kept_indices=kept_indices, tool_exchange_spans=tool_exchange_spans + ) - for i, msg in enumerate(messages): + for i, msg in enumerate(original_messages): + if i in dropped_tool_span_indices: + continue if i in kept_indices: # Use the truncated version if we made one, otherwise the original compressed_messages.append(truncated_overrides.get(i, msg)) else: - key = extract_key(msg, fallback_index=i, used_keys=used_keys) - content = msg.get("content", "") - if isinstance(content, list): - content = " ".join( - p.get("text", "") if isinstance(p, dict) else str(p) - for p in content - ) + key = extract_key( + normalized_messages[i], fallback_index=i, used_keys=used_keys + ) + content = _content_to_text(msg.get("content", "")) cache[key] = content compressed_messages.append(stub_message(msg, key)) - # Build retrieval tool - tools = [build_retrieval_tool(list(cache.keys()))] if cache else [] + # Build retrieval tool in the target request schema + tools = _build_retrieval_tools(list(cache.keys()), call_type=call_type_str) compressed_tokens = token_counter( model=model, - messages=cast(List[Union[AllMessageValues, Message]], compressed_messages), + messages=cast(List[Any], compressed_messages), ) return CompressedResult( diff --git a/litellm/integrations/compression_interception/__init__.py b/litellm/integrations/compression_interception/__init__.py new file mode 100644 index 00000000000..14d30af14d8 --- /dev/null +++ b/litellm/integrations/compression_interception/__init__.py @@ -0,0 +1,14 @@ +""" +Compression Interception Module + +Provides server-side prompt compression + retrieval tool fulfillment for +Anthropic Messages agentic loops. +""" + +from litellm.integrations.compression_interception.handler import ( + CompressionInterceptionLogger, +) + +__all__ = [ + "CompressionInterceptionLogger", +] diff --git a/litellm/integrations/compression_interception/handler.py b/litellm/integrations/compression_interception/handler.py new file mode 100644 index 00000000000..c6ae7d9e82b --- /dev/null +++ b/litellm/integrations/compression_interception/handler.py @@ -0,0 +1,399 @@ +""" +Compression Interception Handler + +CustomLogger that compresses inbound Anthropic Messages requests and fulfills +litellm_content_retrieve tool calls server-side via the typed agentic loop plan. +""" + +import time +import uuid +from typing import Any, Dict, List, Optional, Tuple, cast + +from litellm._logging import verbose_logger +from litellm.compression import compress +from litellm.integrations.custom_logger import CustomLogger +from litellm.types.integrations.compression_interception import ( + CompressionInterceptionConfig, +) +from litellm.types.integrations.custom_logger import ( + AgenticLoopPlan, + AgenticLoopRequestPatch, +) +from litellm.types.utils import CallTypes + +LITELLM_CONTENT_RETRIEVE_TOOL_NAME = "litellm_content_retrieve" +_CACHE_TTL_SECONDS = 15 * 60 + + +class CompressionInterceptionLogger(CustomLogger): + """ + CustomLogger that implements transparent prompt compression + retrieval loops. + + Flow: + 1. Compress inbound /v1/messages requests in pre-call hook. + 2. Inject litellm_content_retrieve tool and persist compressed cache by call_id. + 3. Detect retrieval tool_use blocks in first model response. + 4. Build typed rerun plan with tool_result blocks from the compressed cache. + """ + + def __init__( + self, + enabled: bool = True, + compression_trigger: int = 200_000, + compression_target: Optional[int] = None, + embedding_model: Optional[str] = None, + embedding_model_params: Optional[Dict[str, Any]] = None, + ): + super().__init__() + self.enabled = enabled + self.compression_trigger = compression_trigger + self.compression_target = compression_target + self.embedding_model = embedding_model + self.embedding_model_params = embedding_model_params + self._compression_cache_by_call_id: Dict[str, Tuple[Dict[str, str], float]] = {} + + @classmethod + def from_config_yaml( + cls, config: CompressionInterceptionConfig + ) -> "CompressionInterceptionLogger": + return cls( + enabled=bool(config.get("enabled", True)), + compression_trigger=int(config.get("compression_trigger", 200_000)), + compression_target=config.get("compression_target"), + embedding_model=config.get("embedding_model"), + embedding_model_params=config.get("embedding_model_params"), + ) + + @staticmethod + def initialize_from_proxy_config( + litellm_settings: Dict[str, Any], + callback_specific_params: Dict[str, Any], + ) -> "CompressionInterceptionLogger": + compression_params: CompressionInterceptionConfig = {} + if "compression_interception_params" in litellm_settings: + compression_params = litellm_settings["compression_interception_params"] + elif "compression_interception" in callback_specific_params: + compression_params = callback_specific_params["compression_interception"] + return CompressionInterceptionLogger.from_config_yaml(compression_params) + + async def async_pre_call_deployment_hook( + self, kwargs: Dict[str, Any], call_type: Optional[CallTypes] + ) -> Optional[dict]: + if not self.enabled: + return None + if call_type is not None and call_type != CallTypes.anthropic_messages: + return None + if int(kwargs.get("_agentic_loop_depth", 0) or 0) > 0: + return None + + messages = kwargs.get("messages") + model = kwargs.get("model") + if not isinstance(messages, list) or not isinstance(model, str): + return None + + if self._has_retrieval_tool(kwargs.get("tools")): + return None + + self._prune_expired_cache() + + compressed = compress( # type: ignore + messages=messages, + model=model, + call_type=CallTypes.anthropic_messages, + compression_trigger=self.compression_trigger, + compression_target=self.compression_target, + embedding_model=self.embedding_model, + embedding_model_params=self.embedding_model_params, + ) + + cache = cast(Dict[str, str], compressed.get("cache", {})) + skip_reason = cast(Optional[str], compressed.get("compression_skipped_reason")) + compressed_tools = cast(List[Dict[str, Any]], compressed.get("tools", [])) + + # Only mutate kwargs when compression actually produced a result. + # If compression was a no-op (below trigger, invalid tool sequence, etc.), + # leave ``messages`` and ``tools`` untouched — injecting an empty + # ``tools: []`` onto a request that originally had no tools breaks + # Anthropic Messages requests. + if cache: + kwargs["messages"] = compressed["messages"] + if compressed_tools: + kwargs["tools"] = self._merge_tools( + existing_tools=cast( + Optional[List[Dict[str, Any]]], kwargs.get("tools") + ), + compressed_tools=compressed_tools, + ) + call_id = cast(Optional[str], kwargs.get("litellm_call_id")) + if not call_id: + call_id = str(uuid.uuid4()) + kwargs["litellm_call_id"] = call_id + self._compression_cache_by_call_id[call_id] = (cache, time.time()) + verbose_logger.debug( + "CompressionInterception: compressed request [call_id=%s original=%d compressed=%d cached_keys=%d]", + call_id, + compressed.get("original_tokens"), + compressed.get("compressed_tokens"), + len(cache), + ) + elif skip_reason is not None: + verbose_logger.debug( + "CompressionInterception: compression skipped [reason=%s original=%d compressed=%d]", + skip_reason, + compressed.get("original_tokens"), + compressed.get("compressed_tokens"), + ) + + return kwargs + + async def async_should_run_agentic_loop( + self, + response: Any, + model: str, + messages: List[Dict], + tools: Optional[List[Dict]], + stream: bool, + custom_llm_provider: str, + kwargs: Dict, + ) -> Tuple[bool, Dict]: + if not self.enabled: + return False, {} + if not self._has_retrieval_tool(tools): + return False, {} + + tool_calls, thinking_blocks = self._extract_retrieval_tool_calls( + response=response + ) + if not tool_calls: + return False, {} + + return True, { + "tool_calls": tool_calls, + "thinking_blocks": thinking_blocks, + "tool_type": "compression_retrieval", + } + + async def async_build_agentic_loop_plan( + self, + tools: Dict, + model: str, + messages: List[Dict], + response: Any, + anthropic_messages_provider_config: Any, + anthropic_messages_optional_request_params: Dict, + logging_obj: Any, + stream: bool, + kwargs: Dict, + ) -> AgenticLoopPlan: + self._prune_expired_cache() + tool_calls = cast(List[Dict[str, Any]], tools.get("tool_calls", [])) + thinking_blocks = cast(List[Dict[str, Any]], tools.get("thinking_blocks", [])) + + call_id = self._resolve_call_id(logging_obj=logging_obj, kwargs=kwargs) + cache = self._get_cache(call_id=call_id) + retrieval_results = [ + self._resolve_retrieval_content(tc, cache) for tc in tool_calls + ] + + assistant_message = { + "role": "assistant", + "content": thinking_blocks + + [ + { + "type": "tool_use", + "id": tc.get("id"), + "name": tc.get("name", LITELLM_CONTENT_RETRIEVE_TOOL_NAME), + "input": tc.get("input", {}), + } + for tc in tool_calls + ], + } + user_message = { + "role": "user", + "content": [ + { + "type": "tool_result", + "tool_use_id": tool_calls[i].get("id"), + "content": retrieval_results[i], + } + for i in range(len(tool_calls)) + ], + } + follow_up_messages = messages + [assistant_message, user_message] + + max_tokens = cast( + Optional[int], + anthropic_messages_optional_request_params.get("max_tokens") + or kwargs.get("max_tokens"), + ) + optional_params_without_max_tokens = { + k: v + for k, v in anthropic_messages_optional_request_params.items() + if k != "max_tokens" + } + + full_model_name = model + if logging_obj is not None: + agentic_params = logging_obj.model_call_details.get( + "agentic_loop_params", {} + ) + full_model_name = cast(str, agentic_params.get("model", model)) + + request_patch = AgenticLoopRequestPatch( + model=full_model_name, + messages=follow_up_messages, + max_tokens=max_tokens, + optional_params=optional_params_without_max_tokens, + kwargs=self._prepare_followup_kwargs(kwargs=kwargs), + ) + + return AgenticLoopPlan( + run_agentic_loop=True, + request_patch=request_patch, + metadata={"tool_type": "compression_retrieval", "call_id": call_id or ""}, + ) + + def _prune_expired_cache(self) -> None: + now = time.time() + self._compression_cache_by_call_id = { + call_id: (cache, created_at) + for call_id, ( + cache, + created_at, + ) in self._compression_cache_by_call_id.items() + if now - created_at <= _CACHE_TTL_SECONDS + } + + def _get_cache(self, call_id: Optional[str]) -> Dict[str, str]: + if not call_id: + return {} + cache_entry = self._compression_cache_by_call_id.get(call_id) + if cache_entry is None: + return {} + return cache_entry[0] + + def _resolve_call_id( + self, logging_obj: Any, kwargs: Dict[str, Any] + ) -> Optional[str]: + if logging_obj is not None: + logging_call_id = getattr(logging_obj, "litellm_call_id", None) + if isinstance(logging_call_id, str) and logging_call_id: + return logging_call_id + kwargs_call_id = kwargs.get("litellm_call_id") + return cast( + Optional[str], kwargs_call_id if isinstance(kwargs_call_id, str) else None + ) + + def _resolve_retrieval_content( + self, tool_call: Dict[str, Any], cache: Dict[str, str] + ) -> str: + raw_input = tool_call.get("input", {}) + key = "" + if isinstance(raw_input, dict): + key = str(raw_input.get("key", "") or "") + if not key: + return "No retrieval key provided." + if key in cache: + return cache[key] + return f"[compressed content key '{key}' not found]" + + def _extract_retrieval_tool_calls( + self, response: Any + ) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]: + if isinstance(response, dict): + content = response.get("content", []) + else: + content = getattr(response, "content", []) or [] + + if not isinstance(content, list): + return [], [] + + tool_calls: List[Dict[str, Any]] = [] + thinking_blocks: List[Dict[str, Any]] = [] + + for block in content: + if isinstance(block, dict): + block_type = block.get("type") + block_name = block.get("name") + if block_type in ("thinking", "redacted_thinking"): + thinking_blocks.append(block) + if ( + block_type == "tool_use" + and block_name == LITELLM_CONTENT_RETRIEVE_TOOL_NAME + ): + tool_calls.append( + { + "id": block.get("id"), + "type": "tool_use", + "name": block_name, + "input": block.get("input", {}), + } + ) + else: + block_type = getattr(block, "type", None) + block_name = getattr(block, "name", None) + if block_type == "thinking": + thinking_blocks.append( + { + "type": "thinking", + "thinking": getattr(block, "thinking", ""), + "signature": getattr(block, "signature", ""), + } + ) + elif block_type == "redacted_thinking": + thinking_blocks.append( + { + "type": "redacted_thinking", + "data": getattr(block, "data", ""), + } + ) + if ( + block_type == "tool_use" + and block_name == LITELLM_CONTENT_RETRIEVE_TOOL_NAME + ): + tool_calls.append( + { + "id": getattr(block, "id", None), + "type": "tool_use", + "name": block_name, + "input": getattr(block, "input", {}) or {}, + } + ) + + return tool_calls, thinking_blocks + + def _prepare_followup_kwargs(self, kwargs: Dict[str, Any]) -> Dict[str, Any]: + internal_keys = {"litellm_logging_obj"} + return { + k: v + for k, v in kwargs.items() + if not k.startswith("_compression_interception") and k not in internal_keys + } + + def _has_retrieval_tool(self, tools: Any) -> bool: + if not isinstance(tools, list): + return False + for tool in tools: + if not isinstance(tool, dict): + continue + function = tool.get("function") + if tool.get("type") == "function" and isinstance(function, dict): + if function.get("name") == LITELLM_CONTENT_RETRIEVE_TOOL_NAME: + return True + if ( + tool.get("type") == "custom" + and tool.get("name") == LITELLM_CONTENT_RETRIEVE_TOOL_NAME + ): + return True + return False + + def _merge_tools( + self, + existing_tools: Optional[List[Dict[str, Any]]], + compressed_tools: List[Dict[str, Any]], + ) -> List[Dict[str, Any]]: + merged = list(existing_tools or []) + if self._has_retrieval_tool(merged): + return merged + merged.extend(compressed_tools) + return merged diff --git a/litellm/integrations/custom_logger.py b/litellm/integrations/custom_logger.py index 45c8e2f6262..36486747c39 100644 --- a/litellm/integrations/custom_logger.py +++ b/litellm/integrations/custom_logger.py @@ -20,6 +20,7 @@ from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH_SENSITIVE_DATA_MASKER from litellm.types.integrations.argilla import ArgillaItem from litellm.types.llms.openai import AllMessageValues, ChatCompletionRequest from litellm.types.prompts.init_prompts import PromptSpec +from litellm.types.integrations.custom_logger import AgenticLoopPlan from litellm.types.utils import ( AdapterCompletionStreamWrapper, CallTypes, @@ -676,6 +677,26 @@ class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callbac """ pass + async def async_build_agentic_loop_plan( + self, + tools: Dict, + model: str, + messages: List[Dict], + response: Any, + anthropic_messages_provider_config: Any, + anthropic_messages_optional_request_params: Dict, + logging_obj: "LiteLLMLoggingObj", + stream: bool, + kwargs: Dict, + ) -> AgenticLoopPlan: + """ + Build a typed rerun plan for Anthropic Messages agentic loops. + + Override this method to separate callback decision/tool execution from + follow-up request execution (handled by BaseLLMHTTPHandler). + """ + return AgenticLoopPlan(run_agentic_loop=False) + async def async_should_run_chat_completion_agentic_loop( self, response: Any, @@ -707,6 +728,22 @@ class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callbac """ pass + async def async_build_chat_completion_agentic_loop_plan( + self, + tools: Dict, + model: str, + messages: List[Dict], + response: Any, + optional_params: Dict, + logging_obj: "LiteLLMLoggingObj", + stream: bool, + kwargs: Dict, + ) -> AgenticLoopPlan: + """ + Build a typed rerun plan for chat-completions agentic loops. + """ + return AgenticLoopPlan(run_agentic_loop=False) + # Useful helpers for custom logger classes def truncate_standard_logging_payload_content( diff --git a/litellm/integrations/websearch_interception/handler.py b/litellm/integrations/websearch_interception/handler.py index 30fd55a3e9d..7b4aa7a3f10 100644 --- a/litellm/integrations/websearch_interception/handler.py +++ b/litellm/integrations/websearch_interception/handler.py @@ -28,6 +28,10 @@ from litellm.integrations.websearch_interception.transformation import ( from litellm.types.integrations.websearch_interception import ( WebSearchInterceptionConfig, ) +from litellm.types.integrations.custom_logger import ( + AgenticLoopPlan, + AgenticLoopRequestPatch, +) from litellm.types.llms.openai import AllMessageValues from litellm.types.utils import LlmProviders from litellm.utils import ProviderConfigManager @@ -573,6 +577,35 @@ class WebSearchInterceptionLogger(CustomLogger): kwargs=kwargs, ) + async def async_build_agentic_loop_plan( + self, + tools: Dict, + model: str, + messages: List[Dict], + response: Any, + anthropic_messages_provider_config: Any, + anthropic_messages_optional_request_params: Dict, + logging_obj: Any, + stream: bool, + kwargs: Dict, + ) -> AgenticLoopPlan: + tool_calls = tools["tool_calls"] + thinking_blocks = tools.get("thinking_blocks", []) + request_patch = await self._build_anthropic_request_patch( + model=model, + messages=messages, + tool_calls=tool_calls, + thinking_blocks=thinking_blocks, + anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, + logging_obj=logging_obj, + kwargs=kwargs, + ) + return AgenticLoopPlan( + run_agentic_loop=True, + request_patch=request_patch, + metadata={"tool_type": "websearch", "response_format": "anthropic"}, + ) + async def async_run_chat_completion_agentic_loop( self, tools: Dict, @@ -608,6 +641,33 @@ class WebSearchInterceptionLogger(CustomLogger): response_format=response_format, ) + async def async_build_chat_completion_agentic_loop_plan( + self, + tools: Dict, + model: str, + messages: List[Dict], + response: Any, + optional_params: Dict, + logging_obj: Any, + stream: bool, + kwargs: Dict, + ) -> AgenticLoopPlan: + tool_calls = tools["tool_calls"] + response_format = tools.get("response_format", "openai") + request_patch = await self._build_chat_completion_request_patch( + model=model, + messages=messages, + tool_calls=tool_calls, + optional_params=optional_params, + kwargs=kwargs, + response_format=response_format, + ) + return AgenticLoopPlan( + run_agentic_loop=True, + request_patch=request_patch, + metadata={"tool_type": "websearch", "response_format": response_format}, + ) + @staticmethod def _resolve_max_tokens( optional_params: Dict, @@ -672,7 +732,48 @@ class WebSearchInterceptionLogger(CustomLogger): stream: bool, kwargs: Dict, ) -> Any: - """Execute litellm.search() and make follow-up request""" + """Legacy path: execute search + build patch + run follow-up call.""" + request_patch = await self._build_anthropic_request_patch( + model=model, + messages=messages, + tool_calls=tool_calls, + thinking_blocks=thinking_blocks, + anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, + logging_obj=logging_obj, + kwargs=kwargs, + ) + if request_patch.messages is None: + raise ValueError("WebSearchInterception: missing follow-up messages") + + optional_params = dict(anthropic_messages_optional_request_params) + optional_params.update(request_patch.optional_params) + max_tokens = request_patch.max_tokens + if max_tokens is None: + max_tokens = cast(Optional[int], optional_params.pop("max_tokens", None)) + else: + optional_params.pop("max_tokens", None) + if max_tokens is None: + max_tokens = cast(int, kwargs.get("max_tokens", 1024)) + + return await anthropic_messages.acreate( + max_tokens=max_tokens, + messages=request_patch.messages, + model=request_patch.model or model, + **optional_params, + **request_patch.kwargs, + ) + + async def _build_anthropic_request_patch( + self, + model: str, + messages: List[Dict], + tool_calls: List[Dict], + thinking_blocks: List[Dict], + anthropic_messages_optional_request_params: Dict, + logging_obj: Any, + kwargs: Dict, + ) -> AgenticLoopRequestPatch: + """Execute litellm.search() and build follow-up request patch.""" # Extract search queries from tool_use blocks search_tasks = [] @@ -721,20 +822,8 @@ class WebSearchInterceptionLogger(CustomLogger): thinking_blocks=thinking_blocks, ) - # Make follow-up request with search results - # Type cast: user_message is a Dict for Anthropic format (default response_format) follow_up_messages = messages + [assistant_message, cast(Dict, user_message)] - verbose_logger.debug( - "WebSearchInterception: Making follow-up request with search results" - ) - verbose_logger.debug( - f"WebSearchInterception: Follow-up messages count: {len(follow_up_messages)}" - ) - verbose_logger.debug( - f"WebSearchInterception: Last message (tool_result): {user_message}" - ) - # Correlation context for structured logging _call_id = getattr(logging_obj, "litellm_call_id", None) or kwargs.get( "litellm_call_id", "unknown" @@ -742,61 +831,39 @@ class WebSearchInterceptionLogger(CustomLogger): full_model_name = model # safe default before try block - # Use anthropic_messages.acreate for follow-up request - try: - max_tokens = self._resolve_max_tokens( - anthropic_messages_optional_request_params, kwargs - ) + max_tokens = self._resolve_max_tokens( + anthropic_messages_optional_request_params, kwargs + ) - verbose_logger.debug( - f"WebSearchInterception: Using max_tokens={max_tokens} for follow-up request" - ) + verbose_logger.debug( + f"WebSearchInterception: Using max_tokens={max_tokens} for follow-up request" + ) - # Create a copy of optional params without max_tokens (since we pass it explicitly) - optional_params_without_max_tokens = { - k: v - for k, v in anthropic_messages_optional_request_params.items() - if k != "max_tokens" - } + optional_params_without_max_tokens = { + k: v + for k, v in anthropic_messages_optional_request_params.items() + if k != "max_tokens" + } + kwargs_for_followup = self._prepare_followup_kwargs(kwargs) - kwargs_for_followup = self._prepare_followup_kwargs(kwargs) - - # Get model from logging_obj.model_call_details["agentic_loop_params"] - # This preserves the full model name with provider prefix (e.g., "bedrock/invoke/...") - if logging_obj is not None: - agentic_params = logging_obj.model_call_details.get( - "agentic_loop_params", {} - ) - full_model_name = agentic_params.get("model", model) - verbose_logger.debug( - f"WebSearchInterception: Using model name: {full_model_name}" - ) - - final_response = await anthropic_messages.acreate( - max_tokens=max_tokens, - messages=follow_up_messages, - model=full_model_name, - **optional_params_without_max_tokens, - **kwargs_for_followup, - ) - verbose_logger.debug( - f"WebSearchInterception: Follow-up request completed, response type: {type(final_response)}" - ) - verbose_logger.debug( - f"WebSearchInterception: Final response: {final_response}" - ) - return final_response - except Exception as e: - verbose_logger.exception( - "WebSearchInterception: Follow-up request failed " - "[call_id=%s model=%s messages=%d searches=%d]: %s", - _call_id, - full_model_name, - len(follow_up_messages), - len(final_search_results), - str(e), - ) - raise + if logging_obj is not None: + agentic_params = logging_obj.model_call_details.get("agentic_loop_params", {}) + full_model_name = agentic_params.get("model", model) + verbose_logger.debug( + "WebSearchInterception: Built anthropic request patch " + "[call_id=%s model=%s messages=%d searches=%d]", + _call_id, + full_model_name, + len(follow_up_messages), + len(final_search_results), + ) + return AgenticLoopRequestPatch( + model=full_model_name, + messages=follow_up_messages, + max_tokens=max_tokens, + optional_params=optional_params_without_max_tokens, + kwargs=kwargs_for_followup, + ) async def _execute_search(self, query: str) -> str: """Execute a single web search using router's search tools""" @@ -883,7 +950,36 @@ class WebSearchInterceptionLogger(CustomLogger): kwargs: Dict, response_format: str = "openai", ) -> Any: - """Execute litellm.search() and make follow-up chat completion request""" + """Legacy path: execute search + build patch + run follow-up call.""" + request_patch = await self._build_chat_completion_request_patch( + model=model, + messages=messages, + tool_calls=tool_calls, + optional_params=optional_params, + kwargs=kwargs, + response_format=response_format, + ) + if request_patch.messages is None: + raise ValueError("WebSearchInterception: missing follow-up messages") + params = dict(optional_params) + params.update(request_patch.optional_params) + return await litellm.acompletion( + model=request_patch.model or model, + messages=request_patch.messages, + **params, + **request_patch.kwargs, + ) + + async def _build_chat_completion_request_patch( # noqa: PLR0915 + self, + model: str, + messages: List[Dict], + tool_calls: List[Dict], + optional_params: Dict, + kwargs: Dict, + response_format: str = "openai", + ) -> AgenticLoopRequestPatch: + """Execute litellm.search() and build chat-completion rerun patch.""" # Extract search queries from tool_calls search_tasks = [] @@ -963,74 +1059,56 @@ class WebSearchInterceptionLogger(CustomLogger): f"WebSearchInterception: Follow-up messages count: {len(follow_up_messages)}" ) - # Use litellm.acompletion for follow-up request - try: - # Remove internal parameters that shouldn't be passed to follow-up request - internal_params = { - "_websearch_interception", - "acompletion", - "litellm_logging_obj", - "custom_llm_provider", + # Remove internal parameters that shouldn't be passed to follow-up request + internal_params = { + "_websearch_interception", + "acompletion", + "litellm_logging_obj", + "custom_llm_provider", + "model_alias_map", + "stream_response", + "custom_prompt_dict", + } + kwargs_for_followup = { + k: v + for k, v in kwargs.items() + if not k.startswith("_websearch_interception") and k not in internal_params + } + + full_model_name = model + if "custom_llm_provider" in kwargs: + custom_llm_provider = kwargs["custom_llm_provider"] + if not model.startswith(custom_llm_provider) and "/" not in model: + full_model_name = f"{custom_llm_provider}/{model}" + + verbose_logger.debug( + "WebSearchInterception: Built chat completion request patch model=%s messages=%d", + full_model_name, + len(follow_up_messages), + ) + + tools_param = optional_params.get("tools") + optional_params_clean = { + k: v + for k, v in optional_params.items() + if k + not in { + "tools", + "extra_body", "model_alias_map", "stream_response", "custom_prompt_dict", } - kwargs_for_followup = { - k: v - for k, v in kwargs.items() - if not k.startswith("_websearch_interception") - and k not in internal_params - } + } + if tools_param is not None: + optional_params_clean["tools"] = tools_param - # Get full model name from kwargs - full_model_name = model - if "custom_llm_provider" in kwargs: - custom_llm_provider = kwargs["custom_llm_provider"] - # Reconstruct full model name with provider prefix if needed - if not model.startswith(custom_llm_provider): - # Check if model already has a provider prefix - if "/" not in model: - full_model_name = f"{custom_llm_provider}/{model}" - - verbose_logger.debug( - f"WebSearchInterception: Using model name: {full_model_name}" - ) - - # Prepare tools for follow-up request (same as original) - tools_param = optional_params.get("tools") - - # Remove tools and extra_body from optional_params to avoid issues - # extra_body often contains internal LiteLLM params that shouldn't be forwarded - optional_params_clean = { - k: v - for k, v in optional_params.items() - if k - not in { - "tools", - "extra_body", - "model_alias_map", - "stream_response", - "custom_prompt_dict", - } - } - - final_response = await litellm.acompletion( - model=full_model_name, - messages=follow_up_messages, - tools=tools_param, - **optional_params_clean, - **kwargs_for_followup, - ) - - verbose_logger.debug( - f"WebSearchInterception: Follow-up request completed, response type: {type(final_response)}" - ) - return final_response - except Exception as e: - verbose_logger.exception( - f"WebSearchInterception: Follow-up request failed: {str(e)}" - ) - raise + return AgenticLoopRequestPatch( + model=full_model_name, + messages=follow_up_messages, + optional_params=optional_params_clean, + kwargs=kwargs_for_followup, + ) async def _create_empty_search_result(self) -> str: """Create an empty search result for tool calls without queries""" diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py b/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py new file mode 100644 index 00000000000..1f14886ca8e --- /dev/null +++ b/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py @@ -0,0 +1,320 @@ +""" +Agentic Streaming Iterator for Anthropic Messages + +Wraps the raw SSE byte stream from the Anthropic pass-through endpoint, +yields every chunk to the caller (preserving real streaming), collects +all bytes, and on stream exhaustion rebuilds the full Anthropic response +to run through agentic completion hooks. If an agentic hook fires, the +follow-up response is chained as Phase 2 of the same iterator. +""" + +import json +from typing import Any, AsyncIterator, Dict, List, Optional, cast + +from litellm._logging import verbose_logger + + +# --------------------------------------------------------------------------- +# SSE parsing helpers (module-level to keep the class lean) +# --------------------------------------------------------------------------- + + +def _parse_sse_events(raw: bytes) -> List[tuple]: + """Return a list of (event_type, parsed_data_dict) from raw SSE bytes.""" + text = raw.decode("utf-8", errors="replace") + lines = text.split("\n") + events: List[tuple] = [] + current_event_type: Optional[str] = None + + for line in lines: + stripped = line.strip() + if stripped.startswith("event:"): + current_event_type = stripped[len("event:") :].strip() + continue + if not stripped.startswith("data:"): + continue + data_str = stripped[len("data:") :].strip() + try: + data = json.loads(data_str) + except (json.JSONDecodeError, ValueError): + continue + event_type = current_event_type or data.get("type", "") + current_event_type = None + events.append((event_type, data)) + return events + + +def _handle_message_start(data: Dict, response: Dict) -> None: + msg = data.get("message", {}) + response["id"] = msg.get("id", response["id"]) + response["model"] = msg.get("model", response["model"]) + response["role"] = msg.get("role", response["role"]) + usage = msg.get("usage", {}) + if usage: + response["usage"]["input_tokens"] = usage.get("input_tokens", 0) + for key in ("cache_creation_input_tokens", "cache_read_input_tokens"): + if key in usage: + response["usage"][key] = usage[key] + + +def _handle_content_block_start(data: Dict, content_blocks: Dict[int, Dict]) -> None: + idx = data.get("index", len(content_blocks)) + block = data.get("content_block", {}) + block_type = block.get("type", "text") + + _BLOCK_TEMPLATES: Dict[str, Dict] = { + "text": {"type": "text", "text": ""}, + "thinking": {"type": "thinking", "thinking": "", "signature": ""}, + "redacted_thinking": { + "type": "redacted_thinking", + "data": block.get("data", ""), + }, + } + if block_type == "tool_use": + content_blocks[idx] = { + "type": "tool_use", + "id": block.get("id", ""), + "name": block.get("name", ""), + "input": {}, + "_partial_json": "", + } + elif block_type in _BLOCK_TEMPLATES: + content_blocks[idx] = dict(_BLOCK_TEMPLATES[block_type]) + else: + content_blocks[idx] = dict(block) + + +def _handle_content_block_delta(data: Dict, content_blocks: Dict[int, Dict]) -> None: + idx = data.get("index", 0) + delta = data.get("delta", {}) + delta_type = delta.get("type", "") + block = content_blocks.get(idx) + if block is None: + return + + if delta_type == "text_delta": + block["text"] = block.get("text", "") + delta.get("text", "") + elif delta_type == "input_json_delta": + block["_partial_json"] = block.get("_partial_json", "") + delta.get( + "partial_json", "" + ) + elif delta_type == "thinking_delta": + block["thinking"] = block.get("thinking", "") + delta.get("thinking", "") + elif delta_type == "signature_delta": + block["signature"] = delta.get("signature", block.get("signature", "")) + + +def _handle_content_block_stop(data: Dict, content_blocks: Dict[int, Dict]) -> None: + idx = data.get("index", 0) + block = content_blocks.get(idx) + if block and block.get("type") == "tool_use": + partial = block.pop("_partial_json", "") + if partial: + try: + block["input"] = json.loads(partial) + except (json.JSONDecodeError, ValueError): + block["input"] = {"_raw": partial} + + +def _handle_message_delta(data: Dict, response: Dict) -> None: + delta = data.get("delta", {}) + if "stop_reason" in delta: + response["stop_reason"] = delta["stop_reason"] + if "stop_sequence" in delta: + response["stop_sequence"] = delta["stop_sequence"] + usage = data.get("usage", {}) + if usage.get("output_tokens") is not None: + response["usage"]["output_tokens"] = usage["output_tokens"] + for key in ( + "input_tokens", + "cache_creation_input_tokens", + "cache_read_input_tokens", + ): + if key in usage: + response["usage"][key] = usage[key] + + +class AgenticAnthropicStreamingIterator: + """ + Two-phase async iterator that enables agentic hooks on streaming + Anthropic Messages pass-through responses. + + Phase 1: Yield raw SSE bytes from the upstream response while + accumulating them. When the inner iterator is exhausted, + rebuild the full Anthropic response dict and call agentic hooks. + + Phase 2: If an agentic hook fires and returns a follow-up response + (streaming or non-streaming), yield those bytes to the caller. + """ + + def __init__( + self, + completion_stream: AsyncIterator, + http_handler: Any, + model: str, + messages: List[Dict], + anthropic_messages_provider_config: Any, + anthropic_messages_optional_request_params: Dict, + logging_obj: Any, + custom_llm_provider: str, + kwargs: Dict, + ): + self._inner = completion_stream.__aiter__() + self._http_handler = http_handler + self._model = model + self._messages = messages + self._anthropic_messages_provider_config = anthropic_messages_provider_config + self._anthropic_messages_optional_request_params = ( + anthropic_messages_optional_request_params + ) + self._logging_obj = logging_obj + self._custom_llm_provider = custom_llm_provider + self._kwargs = kwargs + + self._collected_bytes: List[bytes] = [] + self._stream_exhausted = False + self._hook_processing_done = False + self._follow_up_iterator: Optional[AsyncIterator] = None + + def __aiter__(self): + return self + + async def __anext__(self) -> bytes: + # Phase 1: yield from upstream, collect bytes + if not self._stream_exhausted: + try: + chunk = await self._inner.__anext__() + self._collected_bytes.append(chunk) + return chunk + except StopAsyncIteration: + self._stream_exhausted = True + await self._process_agentic_hooks() + # Fall through to Phase 2 + + # Phase 2: yield from follow-up stream if one was created + if self._follow_up_iterator is not None: + chunk = await self._follow_up_iterator.__anext__() + return chunk + + raise StopAsyncIteration + + async def _process_agentic_hooks(self) -> None: + """Rebuild the Anthropic response from collected SSE bytes and call hooks.""" + if self._hook_processing_done: + return + self._hook_processing_done = True + + if not self._collected_bytes: + return + + try: + rebuilt = self._rebuild_anthropic_response_from_sse(self._collected_bytes) + if rebuilt is None: + verbose_logger.debug( + "AgenticStreamingIterator: Could not rebuild response from SSE bytes" + ) + return + + [ + f"{b.get('type')}({b.get('name', '')})" + if b.get("type") == "tool_use" + else b.get("type") + for b in rebuilt.get("content", []) + ] + + result = await self._http_handler._call_agentic_completion_hooks( + response=rebuilt, + model=self._model, + messages=self._messages, + anthropic_messages_provider_config=self._anthropic_messages_provider_config, + anthropic_messages_optional_request_params=self._anthropic_messages_optional_request_params, + logging_obj=self._logging_obj, + stream=True, + custom_llm_provider=self._custom_llm_provider, + kwargs=self._kwargs, + ) + + if result is None: + return + + if hasattr(result, "__aiter__"): + self._follow_up_iterator = result.__aiter__() + elif isinstance(result, dict): + from litellm.llms.anthropic.experimental_pass_through.messages.fake_stream_iterator import ( + FakeAnthropicMessagesStreamIterator, + ) + from litellm.types.llms.anthropic_messages.anthropic_response import ( + AnthropicMessagesResponse, + ) + + fake = FakeAnthropicMessagesStreamIterator( + response=cast(AnthropicMessagesResponse, result) + ) + self._follow_up_iterator = fake.__aiter__() + else: + verbose_logger.warning( + "AgenticStreamingIterator: Unexpected result type from hooks: %s", + type(result).__name__, + ) + except Exception as e: + _call_id = getattr(self._logging_obj, "litellm_call_id", "unknown") + verbose_logger.exception( + "AgenticStreamingIterator: Error in agentic hook processing " + "[call_id=%s model=%s]: %s", + _call_id, + self._model, + str(e), + ) + + @staticmethod + def _rebuild_anthropic_response_from_sse( + raw_bytes: List[bytes], + ) -> Optional[Dict[str, Any]]: + """ + Parse collected SSE bytes into an Anthropic Messages response dict. + + Processes SSE events in order: + - message_start -> envelope (id, model, role, usage) + - content_block_start -> new content block + - content_block_delta -> accumulate text/json/thinking deltas + - content_block_stop -> finalize block + - message_delta -> stop_reason, output usage + - message_stop -> end + """ + events = _parse_sse_events(b"".join(raw_bytes)) + + response: Dict[str, Any] = { + "id": "", + "type": "message", + "role": "assistant", + "model": "", + "content": [], + "stop_reason": None, + "stop_sequence": None, + "usage": {"input_tokens": 0, "output_tokens": 0}, + } + content_blocks: Dict[int, Dict[str, Any]] = {} + saw_message_start = False + + for event_type, data in events: + if event_type == "message_start": + saw_message_start = True + _handle_message_start(data, response) + elif event_type == "content_block_start": + _handle_content_block_start(data, content_blocks) + elif event_type == "content_block_delta": + _handle_content_block_delta(data, content_blocks) + elif event_type == "content_block_stop": + _handle_content_block_stop(data, content_blocks) + elif event_type == "message_delta": + _handle_message_delta(data, response) + + if not saw_message_start: + return None + + for idx in sorted(content_blocks.keys()): + block = content_blocks[idx] + block.pop("_partial_json", None) + response["content"].append(block) + + return response diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py index ea0c05e7656..8a7043111de 100644 --- a/litellm/llms/custom_httpx/llm_http_handler.py +++ b/litellm/llms/custom_httpx/llm_http_handler.py @@ -78,6 +78,10 @@ from litellm.types.containers.main import ( DeleteContainerResult, ) from litellm.types.files import TwoStepFileUploadConfig +from litellm.types.integrations.custom_logger import ( + AgenticLoopPlan, + AgenticLoopRequestPatch, +) from litellm.types.llms.anthropic_messages.anthropic_response import ( AnthropicMessagesResponse, ) @@ -2047,7 +2051,23 @@ class BaseLLMHTTPHandler: request_body=request_body, litellm_logging_obj=logging_obj, ) - initial_response = completion_stream + + from litellm.llms.anthropic.experimental_pass_through.messages.agentic_streaming_iterator import ( + AgenticAnthropicStreamingIterator, + ) + + initial_response = AgenticAnthropicStreamingIterator( + completion_stream=completion_stream, + http_handler=self, + model=model, + messages=messages, + anthropic_messages_provider_config=anthropic_messages_provider_config, + anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, + logging_obj=logging_obj, + custom_llm_provider=custom_llm_provider, + kwargs=kwargs, + ) + return initial_response else: initial_response = anthropic_messages_provider_config.transform_anthropic_messages_response( model=model, @@ -2055,7 +2075,7 @@ class BaseLLMHTTPHandler: logging_obj=logging_obj, ) - # Call agentic completion hooks + # Call agentic completion hooks (non-streaming path only) final_response = await self._call_agentic_completion_hooks( response=initial_response, model=model, @@ -2063,7 +2083,7 @@ class BaseLLMHTTPHandler: anthropic_messages_provider_config=anthropic_messages_provider_config, anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, logging_obj=logging_obj, - stream=stream or False, + stream=False, custom_llm_provider=custom_llm_provider, kwargs=kwargs, ) @@ -4516,6 +4536,167 @@ class BaseLLMHTTPHandler: return stream, data return stream, data + @staticmethod + def _get_agentic_loop_settings(kwargs: Dict) -> Tuple[int, int, List[str]]: + depth = int(kwargs.get("_agentic_loop_depth", 0) or 0) + max_loops = int(kwargs.get("max_agentic_loops", 3) or 3) + fingerprints = list(kwargs.get("_agentic_loop_fingerprints", []) or []) + return depth, max(max_loops, 1), fingerprints + + @staticmethod + def _check_agentic_loop_safety( + tool_calls: Any, + fingerprints: List[str], + depth: int, + max_loops: int, + model: str, + ) -> str: + """ + Evaluate agentic-loop safety guards (fingerprint cycle / max depth). + + Raises ValueError on abort. Returns the current fingerprint on success. + + These checks must not be swallowed by the per-callback ``except Exception`` + block that wraps callback dispatch — they are bounded-loop / cycle-break + safety rails and must abort the agentic dispatch when they trip. + """ + fingerprint = BaseLLMHTTPHandler._fingerprint_agentic_tools(tool_calls) + if fingerprint in fingerprints: + raise ValueError( + "Agentic loop detected repeated tool-call fingerprint; aborting rerun" + ) + if depth >= max_loops: + raise ValueError( + f"Exceeded max_agentic_loops={max_loops} for model={model}" + ) + return fingerprint + + @staticmethod + def _fingerprint_agentic_tools(tools: Dict) -> str: + try: + return json.dumps(tools, sort_keys=True, default=str) + except Exception: + return str(tools) + + async def _execute_anthropic_agentic_plan( + self, + plan: AgenticLoopPlan, + model: str, + messages: List[Dict], + anthropic_messages_optional_request_params: Dict, + logging_obj: "LiteLLMLoggingObj", + kwargs: Dict, + depth: int, + max_loops: int, + fingerprints: List[str], + fingerprint: str, + stream: bool = False, + ) -> Any: + from litellm.anthropic_interface import messages as anthropic_messages + + patch = plan.request_patch or AgenticLoopRequestPatch() + if patch.messages is None: + raise ValueError("Agentic loop plan missing patched messages") + + full_model_name = model + if logging_obj is not None: + agentic_params = logging_obj.model_call_details.get( + "agentic_loop_params", {} + ) + full_model_name = cast(str, agentic_params.get("model", model)) + + optional_params = dict(anthropic_messages_optional_request_params) + optional_params.update(patch.optional_params) + if patch.tools is not None: + optional_params["tools"] = patch.tools + + max_tokens = patch.max_tokens + if max_tokens is None: + max_tokens = cast(Optional[int], optional_params.pop("max_tokens", None)) + else: + optional_params.pop("max_tokens", None) + if max_tokens is None: + max_tokens = cast(int, kwargs.get("max_tokens", 1024)) + + internal_keys = {"litellm_logging_obj"} + kwargs_for_followup = { + k: v + for k, v in kwargs.items() + if not k.startswith("_websearch_interception") + and not k.startswith("_compression_interception") + and k not in internal_keys + and k not in optional_params + } + kwargs_for_followup.update(patch.kwargs) + kwargs_for_followup["_agentic_loop_depth"] = depth + 1 + kwargs_for_followup["max_agentic_loops"] = max_loops + kwargs_for_followup["_agentic_loop_fingerprints"] = fingerprints + [fingerprint] + + return await anthropic_messages.acreate( + **{ + "max_tokens": max_tokens, + "messages": patch.messages, + "model": patch.model or full_model_name, + "stream": stream, + **optional_params, + **kwargs_for_followup, + } + ) + + async def _execute_chat_completion_agentic_plan( + self, + plan: AgenticLoopPlan, + model: str, + messages: List[Dict], + optional_params: Dict, + kwargs: Dict, + custom_llm_provider: str, + depth: int, + max_loops: int, + fingerprints: List[str], + fingerprint: str, + ) -> Any: + patch = plan.request_patch or AgenticLoopRequestPatch() + if patch.messages is None: + raise ValueError("Agentic loop plan missing patched messages") + + full_model_name = patch.model or model + if "/" not in full_model_name: + full_model_name = f"{custom_llm_provider}/{full_model_name}" + + optional_params_for_followup = dict(optional_params) + optional_params_for_followup.update(patch.optional_params) + if patch.tools is not None: + optional_params_for_followup["tools"] = patch.tools + + internal_params = { + "_websearch_interception", + "acompletion", + "litellm_logging_obj", + "custom_llm_provider", + "model_alias_map", + "stream_response", + "custom_prompt_dict", + } + kwargs_for_followup = { + k: v + for k, v in kwargs.items() + if not k.startswith("_websearch_interception") + and not k.startswith("_compression_interception") + and k not in internal_params + } + kwargs_for_followup.update(patch.kwargs) + kwargs_for_followup["_agentic_loop_depth"] = depth + 1 + kwargs_for_followup["max_agentic_loops"] = max_loops + kwargs_for_followup["_agentic_loop_fingerprints"] = fingerprints + [fingerprint] + + return await litellm.acompletion( + model=full_model_name, + messages=patch.messages, + **optional_params_for_followup, + **kwargs_for_followup, + ) + async def _call_agentic_completion_hooks( self, response: Any, @@ -4541,45 +4722,111 @@ class BaseLLMHTTPHandler: callbacks = litellm.callbacks + (logging_obj.dynamic_success_callbacks or []) tools = anthropic_messages_optional_request_params.get("tools", []) + depth, max_loops, fingerprints = self._get_agentic_loop_settings(kwargs=kwargs) for callback in callbacks: + if not isinstance(callback, CustomLogger): + continue + + should_run: bool = False + tool_calls: Any = None try: - if isinstance(callback, CustomLogger): - # First: Check if agentic loop should run - ( - should_run, - tool_calls, - ) = await callback.async_should_run_agentic_loop( - response=response, + # First: Check if agentic loop should run. Wrap in try/except + # to shield from buggy user callbacks — a callback crash should + # not abort the whole request. + ( + should_run, + tool_calls, + ) = await callback.async_should_run_agentic_loop( + response=response, + model=model, + messages=messages, + tools=tools, + stream=stream, + custom_llm_provider=custom_llm_provider, + kwargs=kwargs, + ) + except Exception as e: + _call_id = getattr(logging_obj, "litellm_call_id", "unknown") + verbose_logger.exception( + "LiteLLM.AgenticHookError: Exception in " + "async_should_run_agentic_loop [call_id=%s model=%s]: %s", + _call_id, + model, + str(e), + ) + continue + + if not should_run: + continue + + # Safety guards must run OUTSIDE the callback try/except — they are + # bounded-loop / cycle-break rails that must propagate to the caller. + fingerprint = self._check_agentic_loop_safety( + tool_calls=tool_calls, + fingerprints=fingerprints, + depth=depth, + max_loops=max_loops, + model=model, + ) + + try: + kwargs_with_provider = kwargs.copy() if kwargs else {} + kwargs_with_provider["custom_llm_provider"] = custom_llm_provider + build_plan_overridden = ( + callback.__class__.async_build_agentic_loop_plan + is not CustomLogger.async_build_agentic_loop_plan + ) + if not build_plan_overridden: + return await callback.async_run_agentic_loop( + tools=tool_calls, model=model, messages=messages, - tools=tools, + response=response, + anthropic_messages_provider_config=anthropic_messages_provider_config, + anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, + logging_obj=logging_obj, stream=stream, - custom_llm_provider=custom_llm_provider, - kwargs=kwargs, + kwargs=kwargs_with_provider, ) - if should_run: - # Second: Execute agentic loop - # Add custom_llm_provider to kwargs so the agentic loop can reconstruct the full model name - kwargs_with_provider = kwargs.copy() if kwargs else {} - kwargs_with_provider["custom_llm_provider"] = ( - custom_llm_provider - ) - agentic_response = await callback.async_run_agentic_loop( - tools=tool_calls, - model=model, - messages=messages, - response=response, - anthropic_messages_provider_config=anthropic_messages_provider_config, - anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, - logging_obj=logging_obj, - stream=stream, - kwargs=kwargs_with_provider, - ) - # First hook that runs agentic loop wins - return agentic_response + plan = await callback.async_build_agentic_loop_plan( + tools=tool_calls, + model=model, + messages=messages, + response=response, + anthropic_messages_provider_config=anthropic_messages_provider_config, + anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, + logging_obj=logging_obj, + stream=stream, + kwargs=kwargs_with_provider, + ) + if plan.response_override is not None: + return plan.response_override + if plan.terminate: + verbose_logger.debug( + "Agentic loop terminated by callback=%s reason=%s", + callback.__class__.__name__, + plan.stop_reason, + ) + return response + if not plan.run_agentic_loop: + continue + + return await self._execute_anthropic_agentic_plan( + plan=plan, + model=model, + messages=messages, + anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, + logging_obj=logging_obj, + kwargs=kwargs_with_provider, + depth=depth, + max_loops=max_loops, + fingerprints=fingerprints, + fingerprint=fingerprint, + stream=stream, + ) except Exception as e: _call_id = getattr(logging_obj, "litellm_call_id", "unknown") verbose_logger.exception( @@ -4653,52 +4900,104 @@ class BaseLLMHTTPHandler: callbacks = litellm.callbacks + (logging_obj.dynamic_success_callbacks or []) tools = optional_params.get("tools", []) + depth, max_loops, fingerprints = self._get_agentic_loop_settings(kwargs=kwargs) for callback in callbacks: - try: - if isinstance(callback, CustomLogger): - # Check if callback has the chat completion agentic loop method - if not hasattr( - callback, "async_should_run_chat_completion_agentic_loop" - ): - continue + if not isinstance(callback, CustomLogger): + continue + if not hasattr(callback, "async_should_run_chat_completion_agentic_loop"): + continue - # First: Check if agentic loop should run - ( - should_run, - tool_calls, - ) = await callback.async_should_run_chat_completion_agentic_loop( - response=response, + should_run: bool = False + tool_calls: Any = None + try: + ( + should_run, + tool_calls, + ) = await callback.async_should_run_chat_completion_agentic_loop( + response=response, + model=model, + messages=messages, + tools=tools, + stream=stream, + custom_llm_provider=custom_llm_provider, + kwargs=kwargs, + ) + except Exception as e: + verbose_logger.exception( + "LiteLLM.AgenticHookError: Exception in " + "async_should_run_chat_completion_agentic_loop: %s", + str(e), + ) + continue + + if not should_run: + continue + + # Safety guards must run OUTSIDE the callback try/except — they are + # bounded-loop / cycle-break rails that must propagate to the caller. + fingerprint = self._check_agentic_loop_safety( + tool_calls=tool_calls, + fingerprints=fingerprints, + depth=depth, + max_loops=max_loops, + model=model, + ) + + try: + kwargs_with_provider = kwargs.copy() if kwargs else {} + kwargs_with_provider["custom_llm_provider"] = custom_llm_provider + build_plan_overridden = ( + callback.__class__.async_build_chat_completion_agentic_loop_plan + is not CustomLogger.async_build_chat_completion_agentic_loop_plan + ) + if not build_plan_overridden: + return await callback.async_run_chat_completion_agentic_loop( + tools=tool_calls, model=model, messages=messages, - tools=tools, + response=response, + optional_params=optional_params, + logging_obj=logging_obj, stream=stream, - custom_llm_provider=custom_llm_provider, - kwargs=kwargs, + kwargs=kwargs_with_provider, ) - if should_run: - # Second: Execute agentic loop - # Add custom_llm_provider to kwargs so the agentic loop can reconstruct the full model name - kwargs_with_provider = kwargs.copy() if kwargs else {} - kwargs_with_provider["custom_llm_provider"] = ( - custom_llm_provider - ) - agentic_response = ( - await callback.async_run_chat_completion_agentic_loop( - tools=tool_calls, - model=model, - messages=messages, - response=response, - optional_params=optional_params, - logging_obj=logging_obj, - stream=stream, - kwargs=kwargs_with_provider, - ) - ) - # First hook that runs agentic loop wins - return agentic_response + plan = await callback.async_build_chat_completion_agentic_loop_plan( + tools=tool_calls, + model=model, + messages=messages, + response=response, + optional_params=optional_params, + logging_obj=logging_obj, + stream=stream, + kwargs=kwargs_with_provider, + ) + if plan.response_override is not None: + return plan.response_override + if plan.terminate: + verbose_logger.debug( + "Agentic chat loop terminated by callback=%s reason=%s", + callback.__class__.__name__, + plan.stop_reason, + ) + return response + if not plan.run_agentic_loop: + continue + + return await self._execute_chat_completion_agentic_plan( + plan=plan, + model=model, + messages=messages, + optional_params=optional_params, + kwargs=kwargs_with_provider, + custom_llm_provider=custom_llm_provider, + depth=depth, + max_loops=max_loops, + fingerprints=fingerprints, + fingerprint=fingerprint, + ) except Exception as e: verbose_logger.exception( f"LiteLLM.AgenticHookError: Exception in chat completion agentic hooks: {str(e)}" diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml index 604e7d5f418..36c90c28559 100644 --- a/litellm/proxy/_new_secret_config.yaml +++ b/litellm/proxy/_new_secret_config.yaml @@ -22,11 +22,21 @@ model_list: output_cost_per_token: 10 # 100x standard ($10.00/1M = $0.00001) # Anthropic model for /v1/messages test — 100x custom pricing - - model_name: "claude-sonnet-4-20250514" + - model_name: "claude-sonnet-4-6" litellm_params: - model: anthropic/claude-sonnet-4-20250514 + model: anthropic/claude-sonnet-4-6 api_key: os.environ/ANTHROPIC_API_KEY model_info: id: claude-sonnet-4-custom-pricing input_cost_per_token: 0.0003 # 100x standard ($0.000003) - output_cost_per_token: 0.0015 # 100x standard ($0.000015) \ No newline at end of file + output_cost_per_token: 0.0015 # 100x standard ($0.000015) + +litellm_settings: + callbacks: ["compression_interception"] + compression_interception_params: + enabled: true + compression_trigger: 100000 +# # optional: +# # embedding_model: "text-embedding-3-small" +# # embedding_model_params: +# # dimensions: 512 \ No newline at end of file diff --git a/litellm/proxy/common_utils/callback_utils.py b/litellm/proxy/common_utils/callback_utils.py index a206be87a11..e31c76dcac1 100644 --- a/litellm/proxy/common_utils/callback_utils.py +++ b/litellm/proxy/common_utils/callback_utils.py @@ -37,6 +37,20 @@ def initialize_callbacks_on_proxy( # noqa: PLR0915 if isinstance(value, list): imported_list: List[Any] = [] for callback in value: # ["presidio", ] + if isinstance(callback, str) and callback == "compression_interception": + from litellm.integrations.compression_interception.handler import ( + CompressionInterceptionLogger, + ) + + compression_interception_obj = ( + CompressionInterceptionLogger.initialize_from_proxy_config( + litellm_settings=litellm_settings, + callback_specific_params=callback_specific_params, + ) + ) + imported_list.append(compression_interception_obj) + continue + # check if callback is a custom logger compatible callback if isinstance(callback, str): callback = LoggingCallbackManager._add_custom_callback_generic_api_str( diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 7467bbae232..5804e3f8d9f 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -1,5 +1,6 @@ import asyncio import copy +import re import time from collections import OrderedDict from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union @@ -28,6 +29,14 @@ _SPECIAL_HEADERS_CACHE = frozenset( v.value.lower() for v in SpecialHeaders._member_map_.values() ) +# Matches any header of the form x--session-id (case-insensitive). +# Excludes the two explicit litellm headers which are handled with higher priority. +_GENERIC_SESSION_ID_HEADER_RE = re.compile(r"^x-.+-session-id$", re.IGNORECASE) +_EXPLICIT_SESSION_HEADERS = frozenset({"x-litellm-trace-id", "x-litellm-session-id"}) +# Session-id values must be non-empty strings of alphanumerics, hyphens, or underscores +# (covers UUIDs and most common session-id formats). +_SESSION_ID_VALUE_RE = re.compile(r"^[a-zA-Z0-9_\-]{8,}$") + def _sanitize_for_log(value: Any) -> str: """ @@ -115,13 +124,43 @@ def _get_metadata_variable_name(request: Request) -> str: return "metadata" +def _extract_generic_session_id_from_headers( + normalized: Dict[str, str], +) -> Optional[str]: + """ + Scan a normalised (lower-cased keys) header dict for any header that looks + like ``x--session-id`` and whose value is a plausible session/trace + identifier (alphanumeric + hyphens/underscores, at least 8 chars). + + The two explicit LiteLLM headers (``x-litellm-trace-id`` / + ``x-litellm-session-id``) are excluded here because they are handled with + higher priority by the caller. + + Example: ``x-claude-code-session-id: e96634a3-fa28-4083-b354-55542e2dca01`` + """ + for key, value in normalized.items(): + if ( + key not in _EXPLICIT_SESSION_HEADERS + and _GENERIC_SESSION_ID_HEADER_RE.match(key) + and isinstance(value, str) + and _SESSION_ID_VALUE_RE.match(value) + ): + return value + return None + + def get_chain_id_from_headers(headers: Optional[Dict[str, str]]) -> Optional[str]: """ Extract chain id for call chaining from request headers. - x-litellm-trace-id and x-litellm-session-id are interchangeable; when both - are present, x-litellm-trace-id takes precedence. Header keys are matched - case-insensitively so this works with raw header dicts from any transport. + Priority order: + 1. ``x-litellm-trace-id`` (explicit, highest priority) + 2. ``x-litellm-session-id`` (explicit) + 3. Any ``x--session-id`` header whose value looks like a session id + (alphanumeric / UUID, at least 8 chars). E.g. ``x-claude-code-session-id``. + + Header keys are matched case-insensitively so this works with raw header + dicts from any transport. Used by MCP (and other paths that have raw_headers but no Request) to set litellm_trace_id/litellm_session_id for spend logs and logging consistency. @@ -129,8 +168,10 @@ def get_chain_id_from_headers(headers: Optional[Dict[str, str]]) -> Optional[str if not headers: return None normalized = {k.lower(): v for k, v in headers.items() if isinstance(k, str)} - return normalized.get("x-litellm-trace-id") or normalized.get( - "x-litellm-session-id" + return ( + normalized.get("x-litellm-trace-id") + or normalized.get("x-litellm-session-id") + or _extract_generic_session_id_from_headers(normalized) ) @@ -649,10 +690,8 @@ class LiteLLMProxyRequestSetup: ######################################################################################### agent_id_from_header = headers.get("x-litellm-agent-id") - # x-litellm-trace-id and x-litellm-session-id are interchangeable for call chaining - chain_id = headers.get("x-litellm-trace-id") or headers.get( - "x-litellm-session-id" - ) + # Explicit litellm headers take precedence; fall back to any x-*-session-id header. + chain_id = get_chain_id_from_headers(dict(headers)) if agent_id_from_header: metadata_from_headers["agent_id"] = agent_id_from_header diff --git a/litellm/types/compression.py b/litellm/types/compression.py index 01d5a6dd4d6..5dae0c397f0 100644 --- a/litellm/types/compression.py +++ b/litellm/types/compression.py @@ -2,7 +2,14 @@ Type definitions for litellm.compress(). """ -from typing import Dict, List, TypedDict +import sys + +if sys.version_info >= (3, 11): + from typing import Dict, List, NotRequired, TypedDict +else: + from typing import Dict, List, TypedDict + + from typing_extensions import NotRequired class CompressedResult(TypedDict): @@ -12,3 +19,4 @@ class CompressedResult(TypedDict): compression_ratio: float # fraction reduced, e.g. 0.6 means 60% reduction cache: Dict[str, str] # key -> original content (for retrieval tool responses) tools: List[dict] # [litellm_content_retrieve tool definition] + compression_skipped_reason: NotRequired[str] diff --git a/litellm/types/integrations/compression_interception.py b/litellm/types/integrations/compression_interception.py new file mode 100644 index 00000000000..fe52d2ad0d5 --- /dev/null +++ b/litellm/types/integrations/compression_interception.py @@ -0,0 +1,27 @@ +""" +Type definitions for Compression Interception integration. +""" + +from typing import Any, Dict, Optional, TypedDict + + +class CompressionInterceptionConfig(TypedDict, total=False): + """ + Configuration parameters for CompressionInterceptionLogger. + + Used in proxy_config.yaml under litellm_settings: + litellm_settings: + compression_interception_params: + enabled: true + compression_trigger: 100000 + compression_target: 70000 + embedding_model: "text-embedding-3-small" + embedding_model_params: + dimensions: 512 + """ + + enabled: bool + compression_trigger: int + compression_target: Optional[int] + embedding_model: Optional[str] + embedding_model_params: Optional[Dict[str, Any]] diff --git a/litellm/types/integrations/custom_logger.py b/litellm/types/integrations/custom_logger.py index 06989409229..b5726a11ca0 100644 --- a/litellm/types/integrations/custom_logger.py +++ b/litellm/types/integrations/custom_logger.py @@ -1,6 +1,6 @@ -from typing import Optional +from typing import Any, Dict, List, Optional -from pydantic import BaseModel +from pydantic import BaseModel, Field class StandardCustomLoggerInitParams(BaseModel): @@ -9,3 +9,29 @@ class StandardCustomLoggerInitParams(BaseModel): """ turn_off_message_logging: Optional[bool] = False + + +class AgenticLoopRequestPatch(BaseModel): + """ + Patch returned by callbacks to request a follow-up LLM call. + """ + + model: Optional[str] = None + messages: Optional[List[Dict[str, Any]]] = None + tools: Optional[List[Dict[str, Any]]] = None + max_tokens: Optional[int] = None + optional_params: Dict[str, Any] = Field(default_factory=dict) + kwargs: Dict[str, Any] = Field(default_factory=dict) + + +class AgenticLoopPlan(BaseModel): + """ + Typed callback response for agentic-loop reruns. + """ + + run_agentic_loop: bool = False + request_patch: Optional[AgenticLoopRequestPatch] = None + response_override: Optional[Any] = None + terminate: bool = False + stop_reason: Optional[str] = None + metadata: Dict[str, Any] = Field(default_factory=dict) diff --git a/scripts/eval_compression.py b/scripts/eval_compression.py index d7d90dacc2e..a169cc02d74 100644 --- a/scripts/eval_compression.py +++ b/scripts/eval_compression.py @@ -33,6 +33,7 @@ from dataclasses import asdict, dataclass, field from typing import Optional import litellm +from litellm.types.utils import CallTypes # --------------------------------------------------------------------------- # Problem definitions (HumanEval-style) @@ -880,6 +881,7 @@ def eval_problem( result = litellm.compress( messages=messages, model=model, + call_type=CallTypes.completion, compression_trigger=compression_trigger, embedding_model=embedding_model, ) diff --git a/tests/eval_swe_bench.py b/tests/eval_swe_bench.py index 9c986283abd..6ae99f83ca1 100644 --- a/tests/eval_swe_bench.py +++ b/tests/eval_swe_bench.py @@ -40,6 +40,7 @@ sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) import litellm # noqa: E402 from litellm.compression import compress as litellm_compress # noqa: E402 +from litellm.types.utils import CallTypes # noqa: E402 # --------------------------------------------------------------------------- # Prompts @@ -445,7 +446,7 @@ def eval_instance( compress_kwargs: dict = { "messages": messages, "model": model, - "input_type": "openai_chat_completions", + "call_type": CallTypes.completion, "compression_trigger": compression_trigger, "embedding_model": embedding_model, } diff --git a/tests/test_litellm/integrations/compression_interception/test_compression_interception_handler.py b/tests/test_litellm/integrations/compression_interception/test_compression_interception_handler.py new file mode 100644 index 00000000000..56e5a94cd49 --- /dev/null +++ b/tests/test_litellm/integrations/compression_interception/test_compression_interception_handler.py @@ -0,0 +1,364 @@ +""" +Unit tests for Compression Interception Handler. +""" + +from unittest.mock import MagicMock + +import pytest + +from litellm.integrations.compression_interception.handler import ( + CompressionInterceptionLogger, +) +from litellm.types.utils import CallTypes + + +def test_initialize_from_proxy_config(): + """Test initialization from proxy config with litellm_settings.""" + litellm_settings = { + "compression_interception_params": { + "enabled": True, + "compression_trigger": 1234, + "compression_target": 789, + } + } + + logger = CompressionInterceptionLogger.initialize_from_proxy_config( + litellm_settings=litellm_settings, + callback_specific_params={}, + ) + + assert logger.enabled is True + assert logger.compression_trigger == 1234 + assert logger.compression_target == 789 + + +@pytest.mark.asyncio +async def test_pre_call_hook_compresses_messages_and_injects_tool(monkeypatch): + """Test pre-call hook compresses and stores per-call cache.""" + logger = CompressionInterceptionLogger() + compressed_result = { + "messages": [{"role": "user", "content": "stubbed"}], + "original_tokens": 12000, + "compressed_tokens": 5000, + "compression_ratio": 0.58, + "cache": {"auth.py": "full file content"}, + "tools": [ + { + "type": "function", + "function": { + "name": "litellm_content_retrieve", + "parameters": { + "type": "object", + "properties": {"key": {"type": "string"}}, + }, + }, + } + ], + } + + def _fake_compress(**kwargs): + return compressed_result + + # The handler does ``from litellm.compression import compress`` at module + # scope, so we must patch the binding on the handler module — patching + # ``litellm.compress`` has no effect on the already-bound reference. + monkeypatch.setattr( + "litellm.integrations.compression_interception.handler.compress", + _fake_compress, + ) + + kwargs = { + "model": "bedrock/us.anthropic.claude-sonnet-4-5", + "messages": [{"role": "user", "content": "very large context"}], + "tools": [ + { + "type": "function", + "function": {"name": "existing_tool", "parameters": {"type": "object"}}, + } + ], + } + + result = await logger.async_pre_call_deployment_hook( + kwargs=kwargs, call_type=CallTypes.anthropic_messages + ) + + assert result is not None + assert result["messages"] == compressed_result["messages"] + tool_names = [t.get("function", {}).get("name") for t in result["tools"]] + assert "existing_tool" in tool_names + assert "litellm_content_retrieve" in tool_names + assert result["litellm_call_id"] in logger._compression_cache_by_call_id + + +@pytest.mark.asyncio +async def test_pre_call_hook_below_trigger_does_not_inject_empty_tools(monkeypatch): + """ + When compression is a no-op (below trigger / invalid tool sequence), the + hook must NOT replace ``messages`` or inject an empty ``tools: []`` onto + a request that originally had no tools — Anthropic Messages rejects + ``tools: []``. + """ + logger = CompressionInterceptionLogger() + original_messages = [{"role": "user", "content": "short prompt"}] + + def _fake_compress_noop(**kwargs): + return { + "messages": original_messages, + "original_tokens": 42, + "compressed_tokens": 42, + "compression_ratio": 0.0, + "cache": {}, + "tools": [], + "compression_skipped_reason": "below_trigger", + } + + monkeypatch.setattr( + "litellm.integrations.compression_interception.handler.compress", + _fake_compress_noop, + ) + + kwargs = { + "model": "bedrock/us.anthropic.claude-sonnet-4-5", + "messages": original_messages, + } + + result = await logger.async_pre_call_deployment_hook( + kwargs=kwargs, call_type=CallTypes.anthropic_messages + ) + + assert result is not None + # Original request had no ``tools`` — skipped compression must leave it that way. + assert "tools" not in result + # Cache must not be populated for a no-op. + assert result.get("litellm_call_id") not in logger._compression_cache_by_call_id + + +@pytest.mark.asyncio +async def test_should_run_agentic_loop_detects_retrieval_tool_use(): + """Test should-run hook returns tool calls for retrieval tool_use blocks.""" + logger = CompressionInterceptionLogger() + response = { + "content": [ + { + "type": "tool_use", + "id": "toolu_123", + "name": "litellm_content_retrieve", + "input": {"key": "auth.py"}, + } + ] + } + + should_run, tools_dict = await logger.async_should_run_agentic_loop( + response=response, + model="bedrock/claude", + messages=[], + tools=[ + { + "type": "function", + "function": { + "name": "litellm_content_retrieve", + "parameters": {"type": "object"}, + }, + } + ], + stream=False, + custom_llm_provider="bedrock", + kwargs={}, + ) + + assert should_run is True + assert len(tools_dict["tool_calls"]) == 1 + assert tools_dict["tool_calls"][0]["input"]["key"] == "auth.py" + + +@pytest.mark.asyncio +async def test_build_agentic_loop_plan_returns_request_patch(): + """Callback should return typed patch with tool_result content.""" + logger = CompressionInterceptionLogger() + call_id = "call_123" + logger._compression_cache_by_call_id[call_id] = ( + {"auth.py": "full auth file"}, + 9999999999.0, + ) + + logging_obj = MagicMock() + logging_obj.litellm_call_id = call_id + logging_obj.model_call_details = { + "agentic_loop_params": {"model": "bedrock/invoke/claude-3-5-sonnet"} + } + + plan = await logger.async_build_agentic_loop_plan( + tools={ + "tool_calls": [ + { + "id": "toolu_abc", + "type": "tool_use", + "name": "litellm_content_retrieve", + "input": {"key": "auth.py"}, + } + ] + }, + model="claude-3-5-sonnet", + messages=[{"role": "user", "content": "read auth.py"}], + response=None, + anthropic_messages_provider_config=None, + anthropic_messages_optional_request_params={ + "max_tokens": 1024, + "tools": [{"name": "litellm_content_retrieve"}], + }, + logging_obj=logging_obj, + stream=False, + kwargs={ + "temperature": 0.1, + "_compression_interception_internal": True, + "litellm_logging_obj": object(), + }, + ) + + assert plan.run_agentic_loop is True + assert plan.request_patch is not None + assert plan.request_patch.model == "bedrock/invoke/claude-3-5-sonnet" + assert plan.request_patch.max_tokens == 1024 + assert plan.request_patch.messages is not None + assert len(plan.request_patch.messages) == 3 + tool_result_content = plan.request_patch.messages[-1]["content"][0]["content"] + assert tool_result_content == "full auth file" + assert "_compression_interception_internal" not in plan.request_patch.kwargs + assert "litellm_logging_obj" not in plan.request_patch.kwargs + assert plan.request_patch.kwargs["temperature"] == 0.1 + assert "max_tokens" not in plan.request_patch.optional_params + + +@pytest.mark.asyncio +async def test_should_run_agentic_loop_with_custom_type_tools(): + """Test that async_should_run_agentic_loop returns True when tools contain + litellm_content_retrieve as a custom-typed tool (e.g. Claude Code tool list) + and the model response includes a matching tool_use block.""" + logger = CompressionInterceptionLogger() + + # Exact tools payload produced by Claude Code – litellm_content_retrieve is + # the final entry and uses type="custom" (not type="function"). + tools = [ + { + "name": "Agent", + "description": "Launch a new agent to handle complex, multi-step tasks.", + "input_schema": { + "$schema": "https://json-schema.org/draft/2020-12/schema", + "type": "object", + "properties": { + "description": {"type": "string"}, + "prompt": {"type": "string"}, + }, + "required": ["description", "prompt"], + "additionalProperties": False, + }, + }, + { + "name": "AskUserQuestion", + "description": "Use this tool when you need to ask the user questions.", + "input_schema": { + "$schema": "https://json-schema.org/draft/2020-12/schema", + "type": "object", + "properties": { + "questions": {"type": "array", "items": {"type": "object"}}, + }, + "required": ["questions"], + "additionalProperties": False, + }, + }, + { + "name": "Bash", + "description": "Executes a given bash command and returns its output.", + "input_schema": { + "$schema": "https://json-schema.org/draft/2020-12/schema", + "type": "object", + "properties": {"command": {"type": "string"}}, + "required": ["command"], + "additionalProperties": False, + }, + }, + { + "name": "litellm_content_retrieve", + "description": "Retrieve the full content of a file or message that was compressed to save tokens.", + "input_schema": { + "type": "object", + "properties": { + "key": { + "type": "string", + "description": "The identifier of the content to retrieve", + "enum": [ + "message_0", + "HA_UPTIME_ROUTER_SPEC.md", + "message_159", + "message_160", + ], + } + }, + "required": ["key"], + }, + "type": "custom", + }, + ] + + response = { + "content": [ + { + "type": "tool_use", + "id": "toolu_abc", + "name": "litellm_content_retrieve", + "input": {"key": "message_0"}, + } + ] + } + + should_run, tools_dict = await logger.async_should_run_agentic_loop( + response=response, + model="claude-3-5-sonnet", + messages=[], + tools=tools, + stream=False, + custom_llm_provider="anthropic", + kwargs={}, + ) + + assert should_run is True + assert tools_dict["tool_type"] == "compression_retrieval" + assert len(tools_dict["tool_calls"]) == 1 + assert tools_dict["tool_calls"][0]["input"]["key"] == "message_0" + + +@pytest.mark.asyncio +async def test_build_agentic_loop_plan_missing_key_fallback(): + """Missing cache keys should produce deterministic fallback content.""" + logger = CompressionInterceptionLogger() + + logging_obj = MagicMock() + logging_obj.litellm_call_id = "missing_call" + logging_obj.model_call_details = {"agentic_loop_params": {}} + + plan = await logger.async_build_agentic_loop_plan( + tools={ + "tool_calls": [ + { + "id": "toolu_missing", + "type": "tool_use", + "name": "litellm_content_retrieve", + "input": {"key": "not_found.py"}, + } + ] + }, + model="claude-3-5-sonnet", + messages=[{"role": "user", "content": "read file"}], + response=None, + anthropic_messages_provider_config=None, + anthropic_messages_optional_request_params={}, + logging_obj=logging_obj, + stream=False, + kwargs={}, + ) + + assert plan.request_patch is not None + assert ( + plan.request_patch.messages[-1]["content"][0]["content"] + == "[compressed content key 'not_found.py' not found]" + ) diff --git a/tests/test_litellm/integrations/websearch_interception/test_websearch_interception_handler.py b/tests/test_litellm/integrations/websearch_interception/test_websearch_interception_handler.py index c8617a3c1b1..10951265115 100644 --- a/tests/test_litellm/integrations/websearch_interception/test_websearch_interception_handler.py +++ b/tests/test_litellm/integrations/websearch_interception/test_websearch_interception_handler.py @@ -4,7 +4,7 @@ Unit tests for WebSearch Interception Handler Tests the WebSearchInterceptionLogger class and helper functions. """ -from unittest.mock import MagicMock, Mock +from unittest.mock import AsyncMock, MagicMock, Mock import pytest @@ -69,6 +69,61 @@ async def test_async_should_run_agentic_loop(): assert tools_dict == {} +@pytest.mark.asyncio +async def test_async_build_agentic_loop_plan_returns_request_patch(): + """Callback should return a typed patch for base handler reruns.""" + logger = WebSearchInterceptionLogger(enabled_providers=["bedrock"]) + logger._execute_search = AsyncMock( # type: ignore + return_value="Title: LiteLLM\nURL: docs\nSnippet: test" + ) + + tools_dict = { + "tool_calls": [ + { + "id": "toolu_123", + "type": "tool_use", + "name": "litellm_web_search", + "input": {"query": "what is litellm"}, + } + ], + "response_format": "anthropic", + } + logging_obj = MagicMock() + logging_obj.model_call_details = { + "agentic_loop_params": {"model": "bedrock/invoke/claude-3-5-sonnet"} + } + kwargs = { + "temperature": 0.2, + "_websearch_interception_converted_stream": True, + "litellm_logging_obj": object(), + } + + plan = await logger.async_build_agentic_loop_plan( + tools=tools_dict, + model="claude-3-5-sonnet", + messages=[{"role": "user", "content": "search LiteLLM"}], + response=None, + anthropic_messages_provider_config=None, + anthropic_messages_optional_request_params={ + "max_tokens": 1024, + "tools": [{"name": "litellm_web_search"}], + }, + logging_obj=logging_obj, + stream=False, + kwargs=kwargs, + ) + + assert plan.run_agentic_loop is True + assert plan.request_patch is not None + assert plan.request_patch.model == "bedrock/invoke/claude-3-5-sonnet" + assert plan.request_patch.max_tokens == 1024 + assert plan.request_patch.messages is not None + assert len(plan.request_patch.messages) == 3 + assert "_websearch_interception_converted_stream" not in plan.request_patch.kwargs + assert "litellm_logging_obj" not in plan.request_patch.kwargs + assert plan.request_patch.kwargs["temperature"] == 0.2 + + @pytest.mark.asyncio async def test_internal_flags_filtered_from_followup_kwargs(): """Test that internal _websearch_interception flags are filtered from follow-up request kwargs. diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_agentic_streaming_iterator.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_agentic_streaming_iterator.py new file mode 100644 index 00000000000..b9bda07336f --- /dev/null +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_agentic_streaming_iterator.py @@ -0,0 +1,792 @@ +""" +Tests for AgenticAnthropicStreamingIterator and SSE rebuild helpers. +""" + +import json +import os +import sys +from typing import Any, Dict, List, Optional, Tuple +from unittest.mock import AsyncMock, MagicMock + +import pytest + +sys.path.insert(0, os.path.abspath("../../../../..")) + +from litellm.llms.anthropic.experimental_pass_through.messages.agentic_streaming_iterator import ( + AgenticAnthropicStreamingIterator, + _handle_content_block_delta, + _handle_content_block_start, + _handle_content_block_stop, + _handle_message_delta, + _handle_message_start, + _parse_sse_events, +) + + +# --------------------------------------------------------------------------- +# Helpers to build SSE byte payloads +# --------------------------------------------------------------------------- + + +def _sse_event(event_type: str, data: dict) -> bytes: + return f"event: {event_type}\ndata: {json.dumps(data)}\n\n".encode() + + +def _build_simple_text_stream() -> List[bytes]: + """Produce SSE bytes for a simple text response (no tool calls).""" + chunks = [] + chunks.append( + _sse_event( + "message_start", + { + "type": "message_start", + "message": { + "id": "msg_123", + "type": "message", + "role": "assistant", + "model": "claude-sonnet-4-20250514", + "content": [], + "stop_reason": None, + "stop_sequence": None, + "usage": {"input_tokens": 10, "output_tokens": 0}, + }, + }, + ) + ) + chunks.append( + _sse_event( + "content_block_start", + { + "type": "content_block_start", + "index": 0, + "content_block": {"type": "text", "text": ""}, + }, + ) + ) + chunks.append( + _sse_event( + "content_block_delta", + { + "type": "content_block_delta", + "index": 0, + "delta": {"type": "text_delta", "text": "Hello, world!"}, + }, + ) + ) + chunks.append( + _sse_event("content_block_stop", {"type": "content_block_stop", "index": 0}) + ) + chunks.append( + _sse_event( + "message_delta", + { + "type": "message_delta", + "delta": {"stop_reason": "end_turn", "stop_sequence": None}, + "usage": {"output_tokens": 5}, + }, + ) + ) + chunks.append(_sse_event("message_stop", {"type": "message_stop"})) + return chunks + + +def _build_tool_use_stream() -> List[bytes]: + """Produce SSE bytes for a response with a tool_use block.""" + chunks = [] + chunks.append( + _sse_event( + "message_start", + { + "type": "message_start", + "message": { + "id": "msg_tool_456", + "type": "message", + "role": "assistant", + "model": "claude-sonnet-4-20250514", + "content": [], + "stop_reason": None, + "usage": {"input_tokens": 50, "output_tokens": 0}, + }, + }, + ) + ) + # thinking block + chunks.append( + _sse_event( + "content_block_start", + { + "type": "content_block_start", + "index": 0, + "content_block": { + "type": "thinking", + "thinking": "", + "signature": "", + }, + }, + ) + ) + chunks.append( + _sse_event( + "content_block_delta", + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "thinking_delta", + "thinking": "I need to retrieve...", + }, + }, + ) + ) + chunks.append( + _sse_event( + "content_block_delta", + { + "type": "content_block_delta", + "index": 0, + "delta": {"type": "signature_delta", "signature": "sig_abc"}, + }, + ) + ) + chunks.append( + _sse_event("content_block_stop", {"type": "content_block_stop", "index": 0}) + ) + # tool_use block + chunks.append( + _sse_event( + "content_block_start", + { + "type": "content_block_start", + "index": 1, + "content_block": { + "type": "tool_use", + "id": "toolu_001", + "name": "litellm_content_retrieve", + "input": {}, + }, + }, + ) + ) + chunks.append( + _sse_event( + "content_block_delta", + { + "type": "content_block_delta", + "index": 1, + "delta": { + "type": "input_json_delta", + "partial_json": '{"key": "section_', + }, + }, + ) + ) + chunks.append( + _sse_event( + "content_block_delta", + { + "type": "content_block_delta", + "index": 1, + "delta": {"type": "input_json_delta", "partial_json": '1"}'}, + }, + ) + ) + chunks.append( + _sse_event("content_block_stop", {"type": "content_block_stop", "index": 1}) + ) + chunks.append( + _sse_event( + "message_delta", + { + "type": "message_delta", + "delta": {"stop_reason": "tool_use"}, + "usage": {"output_tokens": 20}, + }, + ) + ) + chunks.append(_sse_event("message_stop", {"type": "message_stop"})) + return chunks + + +# --------------------------------------------------------------------------- +# Mock async stream +# --------------------------------------------------------------------------- + + +class MockAsyncStream: + """Async iterator that yields a list of byte chunks.""" + + def __init__(self, chunks: List[bytes]): + self._chunks = list(chunks) + self._idx = 0 + + def __aiter__(self): + return self + + async def __anext__(self) -> bytes: + if self._idx >= len(self._chunks): + raise StopAsyncIteration + chunk = self._chunks[self._idx] + self._idx += 1 + return chunk + + +# --------------------------------------------------------------------------- +# Tests for _parse_sse_events +# --------------------------------------------------------------------------- + + +class TestParseSSEEvents: + def test_should_parse_single_event(self): + raw = _sse_event( + "message_start", {"type": "message_start", "message": {"id": "1"}} + ) + events = _parse_sse_events(raw) + assert len(events) == 1 + assert events[0][0] == "message_start" + assert events[0][1]["message"]["id"] == "1" + + def test_should_parse_multiple_events(self): + raw = b"".join(_build_simple_text_stream()) + events = _parse_sse_events(raw) + event_types = [e[0] for e in events] + assert "message_start" in event_types + assert "content_block_start" in event_types + assert "content_block_delta" in event_types + assert "content_block_stop" in event_types + assert "message_delta" in event_types + assert "message_stop" in event_types + + def test_should_skip_malformed_json(self): + raw = b"event: message_start\ndata: {invalid json}\n\n" + events = _parse_sse_events(raw) + assert len(events) == 0 + + def test_should_handle_empty_bytes(self): + events = _parse_sse_events(b"") + assert events == [] + + +# --------------------------------------------------------------------------- +# Tests for _handle_* helpers +# --------------------------------------------------------------------------- + + +class TestHandleMessageStart: + def test_should_populate_envelope(self): + response: Dict[str, Any] = { + "id": "", + "model": "", + "role": "assistant", + "usage": {"input_tokens": 0, "output_tokens": 0}, + } + data = { + "message": { + "id": "msg_abc", + "model": "claude-sonnet-4-20250514", + "role": "assistant", + "usage": { + "input_tokens": 42, + "cache_creation_input_tokens": 100, + }, + } + } + _handle_message_start(data, response) + assert response["id"] == "msg_abc" + assert response["model"] == "claude-sonnet-4-20250514" + assert response["usage"]["input_tokens"] == 42 + assert response["usage"]["cache_creation_input_tokens"] == 100 + + +class TestHandleContentBlockStart: + def test_should_create_text_block(self): + blocks: Dict[int, Dict] = {} + data = {"index": 0, "content_block": {"type": "text", "text": ""}} + _handle_content_block_start(data, blocks) + assert blocks[0] == {"type": "text", "text": ""} + + def test_should_create_tool_use_block(self): + blocks: Dict[int, Dict] = {} + data = { + "index": 1, + "content_block": { + "type": "tool_use", + "id": "toolu_x", + "name": "my_tool", + "input": {}, + }, + } + _handle_content_block_start(data, blocks) + assert blocks[1]["type"] == "tool_use" + assert blocks[1]["name"] == "my_tool" + assert blocks[1]["_partial_json"] == "" + + def test_should_create_thinking_block(self): + blocks: Dict[int, Dict] = {} + data = { + "index": 0, + "content_block": {"type": "thinking", "thinking": "", "signature": ""}, + } + _handle_content_block_start(data, blocks) + assert blocks[0]["type"] == "thinking" + + +class TestHandleContentBlockDelta: + def test_should_accumulate_text(self): + blocks = {0: {"type": "text", "text": "Hello"}} + _handle_content_block_delta( + {"index": 0, "delta": {"type": "text_delta", "text": " World"}}, + blocks, + ) + assert blocks[0]["text"] == "Hello World" + + def test_should_accumulate_json(self): + blocks = {0: {"type": "tool_use", "_partial_json": '{"key":'}} + _handle_content_block_delta( + { + "index": 0, + "delta": {"type": "input_json_delta", "partial_json": '"val"}'}, + }, + blocks, + ) + assert blocks[0]["_partial_json"] == '{"key":"val"}' + + def test_should_ignore_missing_block(self): + blocks: Dict[int, Dict] = {} + _handle_content_block_delta( + {"index": 99, "delta": {"type": "text_delta", "text": "x"}}, + blocks, + ) + assert 99 not in blocks + + +class TestHandleContentBlockStop: + def test_should_parse_tool_input_json(self): + blocks = { + 0: { + "type": "tool_use", + "input": {}, + "_partial_json": '{"key": "section_1"}', + } + } + _handle_content_block_stop({"index": 0}, blocks) + assert blocks[0]["input"] == {"key": "section_1"} + assert "_partial_json" not in blocks[0] + + def test_should_handle_invalid_json_gracefully(self): + blocks = { + 0: { + "type": "tool_use", + "input": {}, + "_partial_json": "not valid json", + } + } + _handle_content_block_stop({"index": 0}, blocks) + assert blocks[0]["input"] == {"_raw": "not valid json"} + + +class TestHandleMessageDelta: + def test_should_set_stop_reason_and_usage(self): + response: Dict[str, Any] = { + "stop_reason": None, + "stop_sequence": None, + "usage": {"input_tokens": 0, "output_tokens": 0}, + } + _handle_message_delta( + { + "delta": {"stop_reason": "end_turn", "stop_sequence": None}, + "usage": {"output_tokens": 15}, + }, + response, + ) + assert response["stop_reason"] == "end_turn" + assert response["usage"]["output_tokens"] == 15 + + +# --------------------------------------------------------------------------- +# Tests for _rebuild_anthropic_response_from_sse +# --------------------------------------------------------------------------- + + +class TestRebuildAnthropicResponse: + def test_should_rebuild_simple_text_response(self): + raw_bytes = _build_simple_text_stream() + result = AgenticAnthropicStreamingIterator._rebuild_anthropic_response_from_sse( + raw_bytes + ) + assert result is not None + assert result["id"] == "msg_123" + assert result["model"] == "claude-sonnet-4-20250514" + assert result["stop_reason"] == "end_turn" + assert len(result["content"]) == 1 + assert result["content"][0]["type"] == "text" + assert result["content"][0]["text"] == "Hello, world!" + assert result["usage"]["input_tokens"] == 10 + assert result["usage"]["output_tokens"] == 5 + + def test_should_rebuild_tool_use_response(self): + raw_bytes = _build_tool_use_stream() + result = AgenticAnthropicStreamingIterator._rebuild_anthropic_response_from_sse( + raw_bytes + ) + assert result is not None + assert result["id"] == "msg_tool_456" + assert result["stop_reason"] == "tool_use" + assert len(result["content"]) == 2 + + thinking = result["content"][0] + assert thinking["type"] == "thinking" + assert thinking["thinking"] == "I need to retrieve..." + assert thinking["signature"] == "sig_abc" + + tool = result["content"][1] + assert tool["type"] == "tool_use" + assert tool["id"] == "toolu_001" + assert tool["name"] == "litellm_content_retrieve" + assert tool["input"] == {"key": "section_1"} + + def test_should_return_none_without_message_start(self): + raw_bytes = [ + _sse_event( + "content_block_start", + { + "type": "content_block_start", + "index": 0, + "content_block": {"type": "text"}, + }, + ) + ] + result = AgenticAnthropicStreamingIterator._rebuild_anthropic_response_from_sse( + raw_bytes + ) + assert result is None + + def test_should_handle_empty_bytes(self): + result = AgenticAnthropicStreamingIterator._rebuild_anthropic_response_from_sse( + [] + ) + assert result is None + + def test_should_handle_multi_event_chunks(self): + """When multiple SSE events arrive in a single bytes chunk.""" + combined = b"".join(_build_simple_text_stream()) + result = AgenticAnthropicStreamingIterator._rebuild_anthropic_response_from_sse( + [combined] + ) + assert result is not None + assert result["content"][0]["text"] == "Hello, world!" + + def test_should_preserve_cache_usage_fields(self): + raw_bytes = [ + _sse_event( + "message_start", + { + "type": "message_start", + "message": { + "id": "msg_cache", + "model": "claude-sonnet-4-20250514", + "role": "assistant", + "usage": { + "input_tokens": 100, + "cache_creation_input_tokens": 50, + "cache_read_input_tokens": 30, + }, + }, + }, + ), + _sse_event( + "message_delta", + { + "type": "message_delta", + "delta": {"stop_reason": "end_turn"}, + "usage": {"output_tokens": 10}, + }, + ), + _sse_event("message_stop", {"type": "message_stop"}), + ] + result = AgenticAnthropicStreamingIterator._rebuild_anthropic_response_from_sse( + raw_bytes + ) + assert result is not None + assert result["usage"]["cache_creation_input_tokens"] == 50 + assert result["usage"]["cache_read_input_tokens"] == 30 + + def test_should_handle_redacted_thinking_block(self): + raw_bytes = [ + _sse_event( + "message_start", + { + "type": "message_start", + "message": { + "id": "msg_redact", + "model": "claude-sonnet-4-20250514", + "role": "assistant", + "usage": {"input_tokens": 5}, + }, + }, + ), + _sse_event( + "content_block_start", + { + "type": "content_block_start", + "index": 0, + "content_block": {"type": "redacted_thinking", "data": "abc123"}, + }, + ), + _sse_event( + "content_block_stop", + {"type": "content_block_stop", "index": 0}, + ), + _sse_event( + "message_delta", + { + "type": "message_delta", + "delta": {"stop_reason": "end_turn"}, + "usage": {"output_tokens": 1}, + }, + ), + _sse_event("message_stop", {"type": "message_stop"}), + ] + result = AgenticAnthropicStreamingIterator._rebuild_anthropic_response_from_sse( + raw_bytes + ) + assert result is not None + assert result["content"][0]["type"] == "redacted_thinking" + + +# --------------------------------------------------------------------------- +# Tests for AgenticAnthropicStreamingIterator (Phase 1 / Phase 2) +# --------------------------------------------------------------------------- + + +class TestAgenticStreamingIteratorPhase1: + @pytest.mark.asyncio + async def test_should_yield_all_chunks_when_no_hook_fires(self): + """When hooks return None, the wrapper should yield all original chunks.""" + chunks = _build_simple_text_stream() + mock_stream = MockAsyncStream(chunks) + + mock_handler = MagicMock() + mock_handler._call_agentic_completion_hooks = AsyncMock(return_value=None) + + iterator = AgenticAnthropicStreamingIterator( + completion_stream=mock_stream, + http_handler=mock_handler, + model="claude-sonnet-4-20250514", + messages=[{"role": "user", "content": "hi"}], + anthropic_messages_provider_config=MagicMock(), + anthropic_messages_optional_request_params={}, + logging_obj=MagicMock(), + custom_llm_provider="anthropic", + kwargs={}, + ) + + collected = [] + async for chunk in iterator: + collected.append(chunk) + + assert len(collected) == len(chunks) + for orig, got in zip(chunks, collected): + assert orig == got + + mock_handler._call_agentic_completion_hooks.assert_awaited_once() + + @pytest.mark.asyncio + async def test_should_pass_rebuilt_response_to_hooks(self): + """The rebuilt dict passed to hooks should match the original stream content.""" + chunks = _build_tool_use_stream() + mock_stream = MockAsyncStream(chunks) + + captured_response = {} + + async def mock_hooks(**kwargs): + captured_response.update(kwargs["response"]) + return None + + mock_handler = MagicMock() + mock_handler._call_agentic_completion_hooks = mock_hooks + + iterator = AgenticAnthropicStreamingIterator( + completion_stream=mock_stream, + http_handler=mock_handler, + model="claude-sonnet-4-20250514", + messages=[], + anthropic_messages_provider_config=MagicMock(), + anthropic_messages_optional_request_params={}, + logging_obj=MagicMock(), + custom_llm_provider="anthropic", + kwargs={}, + ) + + async for _ in iterator: + pass + + assert captured_response["id"] == "msg_tool_456" + assert captured_response["stop_reason"] == "tool_use" + assert captured_response["content"][1]["name"] == "litellm_content_retrieve" + + +class TestAgenticStreamingIteratorPhase2: + @pytest.mark.asyncio + async def test_should_chain_follow_up_async_iterator(self): + """When hooks return an async iterator, Phase 2 should yield from it.""" + phase1_chunks = _build_simple_text_stream() + phase2_chunks = [b"follow-up-chunk-1", b"follow-up-chunk-2"] + + mock_stream = MockAsyncStream(phase1_chunks) + follow_up = MockAsyncStream(phase2_chunks) + + mock_handler = MagicMock() + mock_handler._call_agentic_completion_hooks = AsyncMock(return_value=follow_up) + + iterator = AgenticAnthropicStreamingIterator( + completion_stream=mock_stream, + http_handler=mock_handler, + model="claude-sonnet-4-20250514", + messages=[], + anthropic_messages_provider_config=MagicMock(), + anthropic_messages_optional_request_params={}, + logging_obj=MagicMock(), + custom_llm_provider="anthropic", + kwargs={}, + ) + + collected = [] + async for chunk in iterator: + collected.append(chunk) + + assert len(collected) == len(phase1_chunks) + len(phase2_chunks) + assert collected[-2:] == phase2_chunks + + @pytest.mark.asyncio + async def test_should_convert_dict_response_to_fake_stream(self): + """When hooks return a dict, it should be wrapped in FakeAnthropicMessagesStreamIterator.""" + phase1_chunks = _build_simple_text_stream() + mock_stream = MockAsyncStream(phase1_chunks) + + fake_response = { + "id": "msg_followup", + "type": "message", + "role": "assistant", + "model": "claude-sonnet-4-20250514", + "content": [{"type": "text", "text": "follow-up answer"}], + "stop_reason": "end_turn", + "stop_sequence": None, + "usage": {"input_tokens": 100, "output_tokens": 20}, + } + + mock_handler = MagicMock() + mock_handler._call_agentic_completion_hooks = AsyncMock( + return_value=fake_response + ) + + iterator = AgenticAnthropicStreamingIterator( + completion_stream=mock_stream, + http_handler=mock_handler, + model="claude-sonnet-4-20250514", + messages=[], + anthropic_messages_provider_config=MagicMock(), + anthropic_messages_optional_request_params={}, + logging_obj=MagicMock(), + custom_llm_provider="anthropic", + kwargs={}, + ) + + collected = [] + async for chunk in iterator: + collected.append(chunk) + + # Phase 1 chunks + Phase 2 fake-stream chunks + assert len(collected) > len(phase1_chunks) + # The follow-up chunks should contain the text from the dict response + phase2_bytes = b"".join(collected[len(phase1_chunks) :]) + assert b"follow-up answer" in phase2_bytes + + +class TestAgenticStreamingIteratorErrorHandling: + @pytest.mark.asyncio + async def test_should_swallow_hook_errors(self): + """Errors in hook processing should be swallowed; Phase 1 chunks are still yielded.""" + chunks = _build_simple_text_stream() + mock_stream = MockAsyncStream(chunks) + + mock_handler = MagicMock() + mock_handler._call_agentic_completion_hooks = AsyncMock( + side_effect=RuntimeError("hook exploded") + ) + + mock_logging = MagicMock() + mock_logging.litellm_call_id = "test_call_123" + + iterator = AgenticAnthropicStreamingIterator( + completion_stream=mock_stream, + http_handler=mock_handler, + model="claude-sonnet-4-20250514", + messages=[], + anthropic_messages_provider_config=MagicMock(), + anthropic_messages_optional_request_params={}, + logging_obj=mock_logging, + custom_llm_provider="anthropic", + kwargs={}, + ) + + collected = [] + async for chunk in iterator: + collected.append(chunk) + + # All Phase 1 chunks should still have been yielded + assert len(collected) == len(chunks) + + @pytest.mark.asyncio + async def test_should_handle_empty_stream(self): + """An empty upstream stream should not crash.""" + mock_stream = MockAsyncStream([]) + + mock_handler = MagicMock() + mock_handler._call_agentic_completion_hooks = AsyncMock(return_value=None) + + iterator = AgenticAnthropicStreamingIterator( + completion_stream=mock_stream, + http_handler=mock_handler, + model="claude-sonnet-4-20250514", + messages=[], + anthropic_messages_provider_config=MagicMock(), + anthropic_messages_optional_request_params={}, + logging_obj=MagicMock(), + custom_llm_provider="anthropic", + kwargs={}, + ) + + collected = [] + async for chunk in iterator: + collected.append(chunk) + + assert collected == [] + # hooks should not be called since no bytes were collected + mock_handler._call_agentic_completion_hooks.assert_not_awaited() + + @pytest.mark.asyncio + async def test_should_pass_stream_true_to_hooks(self): + """The wrapper should always pass stream=True to hooks.""" + chunks = _build_simple_text_stream() + mock_stream = MockAsyncStream(chunks) + + mock_handler = MagicMock() + mock_handler._call_agentic_completion_hooks = AsyncMock(return_value=None) + + iterator = AgenticAnthropicStreamingIterator( + completion_stream=mock_stream, + http_handler=mock_handler, + model="claude-sonnet-4-20250514", + messages=[], + anthropic_messages_provider_config=MagicMock(), + anthropic_messages_optional_request_params={}, + logging_obj=MagicMock(), + custom_llm_provider="anthropic", + kwargs={}, + ) + + async for _ in iterator: + pass + + call_kwargs = mock_handler._call_agentic_completion_hooks.call_args + assert call_kwargs.kwargs["stream"] is True diff --git a/tests/test_litellm/llms/custom_httpx/test_llm_http_handler.py b/tests/test_litellm/llms/custom_httpx/test_llm_http_handler.py index 2b9d2e9e543..6924eb8d3d9 100644 --- a/tests/test_litellm/llms/custom_httpx/test_llm_http_handler.py +++ b/tests/test_litellm/llms/custom_httpx/test_llm_http_handler.py @@ -74,6 +74,34 @@ def test_prepare_fake_stream_request(): assert result_data["messages"] == [{"role": "user", "content": "Hello"}] +def test_get_agentic_loop_settings_defaults_and_overrides(): + handler = BaseLLMHTTPHandler() + + depth, max_loops, fingerprints = handler._get_agentic_loop_settings(kwargs={}) + assert depth == 0 + assert max_loops == 3 + assert fingerprints == [] + + depth, max_loops, fingerprints = handler._get_agentic_loop_settings( + kwargs={ + "_agentic_loop_depth": 2, + "max_agentic_loops": 7, + "_agentic_loop_fingerprints": ["fp-1", "fp-2"], + } + ) + assert depth == 2 + assert max_loops == 7 + assert fingerprints == ["fp-1", "fp-2"] + + +def test_fingerprint_agentic_tools_is_deterministic(): + handler = BaseLLMHTTPHandler() + tools_a = {"tool_calls": [{"id": "1", "input": {"q": "abc"}, "name": "web_search"}]} + tools_b = {"tool_calls": [{"name": "web_search", "input": {"q": "abc"}, "id": "1"}]} + + assert handler._fingerprint_agentic_tools(tools_a) == handler._fingerprint_agentic_tools(tools_b) + + @pytest.mark.asyncio async def test_async_anthropic_messages_handler_extra_headers(): """ diff --git a/tests/test_litellm/proxy/common_utils/test_callback_utils.py b/tests/test_litellm/proxy/common_utils/test_callback_utils.py index 27528fbd20b..c6132194c74 100644 --- a/tests/test_litellm/proxy/common_utils/test_callback_utils.py +++ b/tests/test_litellm/proxy/common_utils/test_callback_utils.py @@ -1,14 +1,17 @@ import sys import os +from types import SimpleNamespace sys.path.insert( 0, os.path.abspath("../../..") ) # Adds the parent directory to the system path from litellm.proxy.common_utils.callback_utils import ( + initialize_callbacks_on_proxy, get_remaining_tokens_and_requests_from_request_data, normalize_callback_names, ) +import litellm from unittest.mock import patch from litellm.proxy.common_utils.callback_utils import process_callback @@ -84,3 +87,35 @@ def test_normalize_callback_names_lowercases_strings(): "s3", "custom_callback", ] + + +def test_initialize_callbacks_on_proxy_instantiates_compression_interception( + monkeypatch, +): + dummy_callback = object() + monkeypatch.setitem( + sys.modules, + "litellm.proxy.proxy_server", + SimpleNamespace(prisma_client=None), + ) + monkeypatch.setattr( + "litellm.integrations.compression_interception.handler.CompressionInterceptionLogger.initialize_from_proxy_config", + lambda litellm_settings, callback_specific_params: dummy_callback, + ) + + original_callbacks = ( + list(litellm.callbacks) if isinstance(litellm.callbacks, list) else [] + ) + litellm.callbacks = [] + try: + initialize_callbacks_on_proxy( + value=["compression_interception"], + premium_user=False, + config_file_path=".", + litellm_settings={"compression_interception_params": {"enabled": True}}, + callback_specific_params={}, + ) + assert dummy_callback in litellm.callbacks + assert "compression_interception" not in litellm.callbacks + finally: + litellm.callbacks = original_callbacks diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py index 34d3c203377..ac009df67b0 100644 --- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py +++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py @@ -1791,6 +1791,57 @@ def test_add_litellm_metadata_from_request_headers_both_headers_trace_id_precede assert data["litellm_trace_id"] == "trace-value" +def test_add_litellm_metadata_from_request_headers_generic_session_id_header(): + """A generic x--session-id header is used when no explicit litellm header is set.""" + headers = {"x-claude-code-session-id": "e96634a3-fa28-4083-b354-55542e2dca01"} + data = {"metadata": {}} + LiteLLMProxyRequestSetup.add_litellm_metadata_from_request_headers( + headers=headers, data=data, _metadata_variable_name="metadata" + ) + assert data["metadata"]["session_id"] == "e96634a3-fa28-4083-b354-55542e2dca01" + assert data["litellm_session_id"] == "e96634a3-fa28-4083-b354-55542e2dca01" + assert data["litellm_trace_id"] == "e96634a3-fa28-4083-b354-55542e2dca01" + + +def test_add_litellm_metadata_from_request_headers_explicit_header_beats_generic(): + """Explicit x-litellm-trace-id wins over a generic x-*-session-id header.""" + headers = { + "x-litellm-trace-id": "explicit-trace-id-value", + "x-claude-code-session-id": "e96634a3-fa28-4083-b354-55542e2dca01", + } + data = {"metadata": {}} + LiteLLMProxyRequestSetup.add_litellm_metadata_from_request_headers( + headers=headers, data=data, _metadata_variable_name="metadata" + ) + assert data["litellm_session_id"] == "explicit-trace-id-value" + assert data["litellm_trace_id"] == "explicit-trace-id-value" + + +def test_get_chain_id_from_headers_generic_vendor_session_id(): + """get_chain_id_from_headers picks up any x--session-id with a valid value.""" + from litellm.proxy.litellm_pre_call_utils import get_chain_id_from_headers + + assert ( + get_chain_id_from_headers( + {"x-claude-code-session-id": "e96634a3-fa28-4083-b354-55542e2dca01"} + ) + == "e96634a3-fa28-4083-b354-55542e2dca01" + ) + # Short / non-alphanumeric values should be ignored + assert get_chain_id_from_headers({"x-foo-session-id": "short"}) is None + assert get_chain_id_from_headers({"x-foo-session-id": "has spaces!!"}) is None + # Explicit headers still take precedence + assert ( + get_chain_id_from_headers( + { + "x-litellm-trace-id": "explicit-id-value", + "x-claude-code-session-id": "e96634a3-fa28-4083-b354-55542e2dca01", + } + ) + == "explicit-id-value" + ) + + def test_get_internal_user_header_from_mapping_returns_expected_header(): mappings = [ {"header_name": "X-OpenWebUI-User-Id", "litellm_user_role": "internal_user"}, diff --git a/tests/test_litellm/test_compression.py b/tests/test_litellm/test_compression.py index 13dda0cbcbc..4fbcd4ed30d 100644 --- a/tests/test_litellm/test_compression.py +++ b/tests/test_litellm/test_compression.py @@ -3,6 +3,7 @@ Unit tests for litellm.compress(). """ import os +import importlib import pytest @@ -12,6 +13,10 @@ from litellm.compression.scoring.embedding_scorer import embedding_score_message from litellm.compression.content_detection import detect_content_type from litellm.compression.message_stubbing import extract_key, stub_message from litellm.compression.retrieval_tool import build_retrieval_tool +from litellm.types.utils import CallTypes + +CALL_TYPE = CallTypes.completion +ANTHROPIC_CALL_TYPE = CallTypes.anthropic_messages # --------------------------------------------------------------------------- @@ -149,7 +154,7 @@ def test_retrieval_tool_description_lists_keys(): def test_compress_below_trigger_passthrough(): messages = [{"role": "user", "content": "hello"}] - result = litellm.compress(messages, model="gpt-4o") + result = litellm.compress(messages, model="gpt-4o", call_type=CALL_TYPE) assert result["messages"] == messages assert result["cache"] == {} assert result["tools"] == [] @@ -178,6 +183,7 @@ def test_compress_above_trigger(): result = litellm.compress( big_messages, model="gpt-4o", + call_type=CALL_TYPE, compression_trigger=1000, compression_target=500, ) @@ -189,13 +195,62 @@ def test_compress_above_trigger(): assert result["tools"][0]["function"]["name"] == "litellm_content_retrieve" +def test_compress_anthropic_list_content_is_boundary_stable(): + messages = [ + {"role": "system", "content": [{"type": "text", "text": "System prompt"}]}, + { + "role": "user", + "content": [ + {"type": "text", "text": "# a.py\n" + "alpha " * 2000}, + { + "type": "image_url", + "image_url": {"url": "https://example.com/a.png"}, + }, + ], + }, + { + "role": "user", + "content": [ + {"type": "text", "text": "# b.py\n" + "beta " * 2000}, + { + "type": "image_url", + "image_url": {"url": "https://example.com/b.png"}, + }, + ], + }, + { + "role": "user", + "content": [{"type": "text", "text": "Fix alpha bug in a.py"}], + }, + ] + + result = litellm.compress( + messages=messages, + model="claude-sonnet-4-20250514", + call_type=ANTHROPIC_CALL_TYPE, + compression_trigger=1000, + compression_target=500, + ) + + assert result["compressed_tokens"] < result["original_tokens"] + assert len(result["messages"]) == len(messages) + assert [m["role"] for m in result["messages"]] == [m["role"] for m in messages] + assert len(result["cache"]) > 0 + assert len(result["tools"]) == 1 + assert result["tools"][0]["type"] == "custom" + assert result["tools"][0]["name"] == "litellm_content_retrieve" + assert "input_schema" in result["tools"][0] + + def test_compress_preserves_system_message(): messages = [ {"role": "system", "content": "System prompt. " * 500}, {"role": "user", "content": "Large file content. " * 5000}, {"role": "user", "content": "Fix the bug"}, ] - result = litellm.compress(messages, model="gpt-4o", compression_trigger=1000) + result = litellm.compress( + messages, model="gpt-4o", call_type=CALL_TYPE, compression_trigger=1000 + ) assert result["messages"][0]["role"] == "system" assert "System prompt" in result["messages"][0]["content"] @@ -205,7 +260,9 @@ def test_compress_preserves_last_user_message(): {"role": "user", "content": "Big context " * 5000}, {"role": "user", "content": "Fix the bug in auth.py"}, ] - result = litellm.compress(messages, model="gpt-4o", compression_trigger=1000) + result = litellm.compress( + messages, model="gpt-4o", call_type=CALL_TYPE, compression_trigger=1000 + ) last_user = [m for m in result["messages"] if m["role"] == "user"][-1] assert "Fix the bug in auth.py" in last_user["content"] @@ -216,7 +273,9 @@ def test_compress_preserves_last_assistant_message(): {"role": "assistant", "content": "I'll help with that. " * 2000}, {"role": "user", "content": "Now fix the bug"}, ] - result = litellm.compress(messages, model="gpt-4o", compression_trigger=1000) + result = litellm.compress( + messages, model="gpt-4o", call_type=CALL_TYPE, compression_trigger=1000 + ) assistant_msgs = [m for m in result["messages"] if m["role"] == "assistant"] assert len(assistant_msgs) >= 1 # The last assistant message should be preserved (not stubbed) @@ -229,7 +288,9 @@ def test_cache_keys_match_stubs(): {"role": "user", "content": "# auth.py\n" + "code " * 5000}, {"role": "user", "content": "Fix it"}, ] - result = litellm.compress(messages, model="gpt-4o", compression_trigger=1000) + result = litellm.compress( + messages, model="gpt-4o", call_type=CALL_TYPE, compression_trigger=1000 + ) if result["tools"]: tool_desc = result["tools"][0]["function"]["description"] for key in result["cache"]: @@ -242,11 +303,75 @@ def test_compress_default_target(): {"role": "user", "content": "content " * 5000}, {"role": "user", "content": "query"}, ] - result = litellm.compress(messages, model="gpt-4o", compression_trigger=2000) + result = litellm.compress( + messages, model="gpt-4o", call_type=CALL_TYPE, compression_trigger=2000 + ) # Should have compressed — target = 1000 assert result["compressed_tokens"] <= result["original_tokens"] +def test_compress_nested_tool_result_extracts_text_only(): + messages = [ + {"role": "system", "content": [{"type": "text", "text": "System rules"}]}, + { + "role": "user", + "content": [ + {"type": "text", "text": "prefix"}, + { + "type": "tool_result", + "tool_use_id": "toolu_1", + "content": [ + {"type": "text", "text": "nested text fragment"}, + { + "type": "image_url", + "image_url": { + "url": "https://example.com/secret-tool.png", + }, + }, + ], + }, + { + "type": "image_url", + "image_url": {"url": "https://example.com/top.png"}, + }, + {"type": "text", "text": " " + ("irrelevant " * 3000)}, + ], + }, + { + "role": "user", + "content": [{"type": "text", "text": "final query that must remain"}], + }, + ] + + result = litellm.compress( + messages=messages, + model="claude-sonnet-4-20250514", + call_type=ANTHROPIC_CALL_TYPE, + compression_trigger=500, + compression_target=100, + ) + + cached_text = " ".join(result["cache"].values()) + assert "nested text fragment" in cached_text + assert "https://example.com/secret-tool.png" not in cached_text + assert "https://example.com/top.png" not in cached_text + + +def test_compress_default_call_type_is_completion(): + result = litellm.compress( + messages=[ + {"role": "user", "content": "Large context " * 4000}, + {"role": "user", "content": "query"}, + ], + model="gpt-4o", + compression_trigger=1000, + compression_target=500, + ) + + assert result["compressed_tokens"] <= result["original_tokens"] + assert isinstance(result["tools"], list) + + def test_compress_forwards_embedding_model_params(monkeypatch): captured = {} @@ -269,6 +394,7 @@ def test_compress_forwards_embedding_model_params(monkeypatch): {"role": "user", "content": "Fix auth"}, ], model="gpt-4o", + call_type=CALL_TYPE, compression_trigger=1000, embedding_model="text-embedding-3-small", embedding_model_params={"api_base": "https://example-embeddings.test"}, @@ -326,6 +452,7 @@ def test_embedding_scorer(): {"role": "user", "content": "Fix auth"}, ], model="gpt-4o", + call_type=CALL_TYPE, compression_trigger=1000, embedding_model="text-embedding-3-small", ) @@ -346,8 +473,9 @@ def test_simple_compression(final_user_message, expected_content): {"role": "user", "content": "Unrelated cooking recipes " * 2000}, {"role": "user", "content": final_user_message}, ] - result = litellm.compress(messages, model="gpt-4o", compression_trigger=1000) - print(result["messages"]) + result = litellm.compress( + messages, model="gpt-4o", call_type=CALL_TYPE, compression_trigger=1000 + ) if expected_content == "Unrelated cooking recipes ": assert "Unrelated cooking recipes " in result["messages"][1]["content"] assert "Authentication code " not in result["messages"][0]["content"] @@ -356,3 +484,184 @@ def test_simple_compression(final_user_message, expected_content): assert "Unrelated cooking recipes " not in result["messages"][1]["content"] else: raise ValueError(f"Unexpected expected_content: {expected_content}") + + +def test_compress_anthropic_drops_irrelevant_tool_exchange_span(monkeypatch): + compress_module = importlib.import_module("litellm.compression.compress") + + def fake_bm25_score_messages(query, messages): + assert "final query" in query + assert len(messages) == 5 + # Prefer idx=0 and de-prioritize the tool exchange span (idx=1,2) + return [0.95, 0.01, 0.02, 0.8, 1.0] + + def fake_token_counter(model, messages=None, text=None): + if messages is not None: + return 1000 + if text is None: + return 0 + if "final query" in text: + return 50 + if "assistant_tail" in text: + return 20 + if "other_blob" in text: + return 220 + if "tool_payload_relevant" in text: + return 200 + if text == "": + return 1 + return 10 + + monkeypatch.setattr( + compress_module, "bm25_score_messages", fake_bm25_score_messages + ) + monkeypatch.setattr(compress_module, "token_counter", fake_token_counter) + + messages = [ + {"role": "user", "content": "other_blob " * 300}, + { + "role": "assistant", + "content": [ + { + "type": "tool_use", + "id": "toolu_drop", + "name": "litellm_content_retrieve", + "input": {"key": "message_1"}, + } + ], + }, + { + "role": "user", + "content": [ + { + "type": "tool_result", + "tool_use_id": "toolu_drop", + "content": [{"type": "text", "text": "tool_payload_relevant"}], + } + ], + }, + {"role": "assistant", "content": "assistant_tail"}, + {"role": "user", "content": "final query"}, + ] + + result = litellm.compress( + messages=messages, + model="claude-sonnet-4-20250514", + call_type=ANTHROPIC_CALL_TYPE, + compression_trigger=100, + compression_target=280, + ) + + # idx=1,2 should be dropped atomically (no orphan tool blocks left behind) + assert len(result["messages"]) == 3 + assert result["messages"][0]["role"] == "user" + assert "other_blob" in result["messages"][0]["content"] + assert result["messages"][1]["content"] == "assistant_tail" + assert result["messages"][2]["content"] == "final query" + assert result["cache"] == {} + + +def test_compress_anthropic_keeps_relevant_tool_exchange_span(monkeypatch): + compress_module = importlib.import_module("litellm.compression.compress") + + def fake_bm25_score_messages(query, messages): + assert "final query" in query + assert len(messages) == 5 + # Prefer the tool exchange span over idx=0 + return [0.05, 0.01, 0.92, 0.8, 1.0] + + def fake_token_counter(model, messages=None, text=None): + if messages is not None: + return 1000 + if text is None: + return 0 + if "final query" in text: + return 50 + if "assistant_tail" in text: + return 20 + if "other_blob" in text: + return 220 + if "tool_payload_relevant" in text: + return 200 + if text == "": + return 1 + return 10 + + monkeypatch.setattr( + compress_module, "bm25_score_messages", fake_bm25_score_messages + ) + monkeypatch.setattr(compress_module, "token_counter", fake_token_counter) + + messages = [ + {"role": "user", "content": "other_blob " * 300}, + { + "role": "assistant", + "content": [ + { + "type": "tool_use", + "id": "toolu_keep", + "name": "litellm_content_retrieve", + "input": {"key": "message_1"}, + } + ], + }, + { + "role": "user", + "content": [ + { + "type": "tool_result", + "tool_use_id": "toolu_keep", + "content": [{"type": "text", "text": "tool_payload_relevant"}], + } + ], + }, + {"role": "assistant", "content": "assistant_tail"}, + {"role": "user", "content": "final query"}, + ] + + result = litellm.compress( + messages=messages, + model="claude-sonnet-4-20250514", + call_type=ANTHROPIC_CALL_TYPE, + compression_trigger=100, + compression_target=280, + ) + + assert len(result["messages"]) == 5 + assert result["messages"][1]["role"] == "assistant" + assert result["messages"][2]["role"] == "user" + # idx=0 should be compressed instead + assert "litellm_content_retrieve" in result["messages"][0]["content"] + assert len(result["cache"]) == 1 + + +def test_compress_anthropic_malformed_tool_sequence_passes_through(): + messages = [ + {"role": "user", "content": "other_blob " * 300}, + { + "role": "assistant", + "content": [ + { + "type": "tool_use", + "id": "toolu_broken", + "name": "litellm_content_retrieve", + "input": {"key": "message_1"}, + } + ], + }, + {"role": "user", "content": [{"type": "text", "text": "missing tool_result"}]}, + {"role": "user", "content": "final query"}, + ] + + result = litellm.compress( + messages=messages, + model="claude-sonnet-4-20250514", + call_type=ANTHROPIC_CALL_TYPE, + compression_trigger=100, + compression_target=280, + ) + + assert result["messages"] == messages + assert result["cache"] == {} + assert result["tools"] == [] + assert result["compression_skipped_reason"] == "invalid_anthropic_tool_sequence" From fba736ca3c72442f90a5368b14cb235bea834a9b Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 15:22:18 -0700 Subject: [PATCH 029/165] fix(adaptive_router): 3 P1 review defects MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Use 'auto_router/adaptive_router' prefix in example yaml, docs, and README — the old 'adaptive_router/...' and 'openai/gpt-4o-mini' values silently skipped adaptive-router init because detection requires the 'auto_router/adaptive_router' prefix. - Read x-litellm-min-quality-tier from request headers (and the 'min_quality_tier' metadata key as fallback) in async_pre_routing_hook. Previously the documented header was defined but never extracted, so the quality-floor feature was inert. - Evict expired entries from _session_states. The cache grew without bound — added a parallel expiry map (same TTL as _owner_cache) and an opportunistic bulk sweep when the cache crosses a size threshold. - Align adaptive-router migration SQL with Prisma schema: all count columns and the 'clean_credit_awarded' / 'last_processed_turn' fields are NOT NULL in the data model, so the migration now declares them NOT NULL. Fixes test_aaaasschema_migration_check. Tests: 8 new covering header/metadata/precedence/invalid-value paths for min_quality_tier and TTL-based eviction of _session_states. Co-Authored-By: Claude Opus 4.7 (1M context) --- docs/my-website/docs/adaptive_router.md | 2 +- .../migration.sql | 24 ++-- .../adaptive_router_example.yaml | 2 +- .../router_strategy/adaptive_router/README.md | 2 +- .../adaptive_router/adaptive_router.py | 62 ++++++++++- .../adaptive_router/test_adaptive_router.py | 46 ++++++++ .../adaptive_router/test_async_pre_routing.py | 105 ++++++++++++++++++ 7 files changed, 227 insertions(+), 16 deletions(-) diff --git a/docs/my-website/docs/adaptive_router.md b/docs/my-website/docs/adaptive_router.md index 61007e98e76..80532f383bb 100644 --- a/docs/my-website/docs/adaptive_router.md +++ b/docs/my-website/docs/adaptive_router.md @@ -36,7 +36,7 @@ model_list: - model_name: my-router litellm_params: - model: adaptive_router/smart-router + model: auto_router/adaptive_router adaptive_router_config: available_models: ["gpt-4o", "gpt-4o-mini"] weights: diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260418000000_add_adaptive_router_tables/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260418000000_add_adaptive_router_tables/migration.sql index 4d61db11150..cdc76a0b915 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260418000000_add_adaptive_router_tables/migration.sql +++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260418000000_add_adaptive_router_tables/migration.sql @@ -16,20 +16,20 @@ CREATE TABLE "LiteLLM_AdaptiveRouterSession" ( router_name TEXT NOT NULL, model_name TEXT NOT NULL, classified_type TEXT NOT NULL, - misalignment_count INTEGER DEFAULT 0, - stagnation_count INTEGER DEFAULT 0, - disengagement_count INTEGER DEFAULT 0, - satisfaction_count INTEGER DEFAULT 0, - failure_count INTEGER DEFAULT 0, - loop_count INTEGER DEFAULT 0, - exhaustion_count INTEGER DEFAULT 0, + misalignment_count INTEGER NOT NULL DEFAULT 0, + stagnation_count INTEGER NOT NULL DEFAULT 0, + disengagement_count INTEGER NOT NULL DEFAULT 0, + satisfaction_count INTEGER NOT NULL DEFAULT 0, + failure_count INTEGER NOT NULL DEFAULT 0, + loop_count INTEGER NOT NULL DEFAULT 0, + exhaustion_count INTEGER NOT NULL DEFAULT 0, last_user_content TEXT, last_assistant_content TEXT, - tool_call_history JSONB DEFAULT '[]', - pending_tool_calls JSONB DEFAULT '{}', - turn_count INTEGER DEFAULT 0, - last_processed_turn INTEGER DEFAULT -1, - clean_credit_awarded BOOLEAN DEFAULT FALSE, + tool_call_history JSONB NOT NULL DEFAULT '[]', + pending_tool_calls JSONB NOT NULL DEFAULT '{}', + turn_count INTEGER NOT NULL DEFAULT 0, + last_processed_turn INTEGER NOT NULL DEFAULT -1, + clean_credit_awarded BOOLEAN NOT NULL DEFAULT FALSE, terminal_status INTEGER, last_activity_at TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (session_id, router_name, model_name) diff --git a/litellm/proxy/example_config_yaml/adaptive_router_example.yaml b/litellm/proxy/example_config_yaml/adaptive_router_example.yaml index 7cc060420a2..58f5398ca57 100644 --- a/litellm/proxy/example_config_yaml/adaptive_router_example.yaml +++ b/litellm/proxy/example_config_yaml/adaptive_router_example.yaml @@ -17,7 +17,7 @@ model_list: # entries in this list). - model_name: smart-cheap-router litellm_params: - model: openai/gpt-4o-mini # placeholder; never actually called -- router picks from available_models + model: auto_router/adaptive_router # required prefix -- triggers adaptive-router init adaptive_router_config: available_models: ["fast", "smart"] weights: diff --git a/litellm/router_strategy/adaptive_router/README.md b/litellm/router_strategy/adaptive_router/README.md index 6140fe8044d..7f5d7aa21d0 100644 --- a/litellm/router_strategy/adaptive_router/README.md +++ b/litellm/router_strategy/adaptive_router/README.md @@ -35,7 +35,7 @@ model_list: - model_name: smart-router litellm_params: - model: adaptive_router/smart-router + model: auto_router/adaptive_router adaptive_router_default_model: gpt-4o-mini adaptive_router_config: available_models: ["gpt-4o", "gpt-4o-mini"] diff --git a/litellm/router_strategy/adaptive_router/adaptive_router.py b/litellm/router_strategy/adaptive_router/adaptive_router.py index b7f7722e0a9..ae5e39d2ee0 100644 --- a/litellm/router_strategy/adaptive_router/adaptive_router.py +++ b/litellm/router_strategy/adaptive_router/adaptive_router.py @@ -39,8 +39,14 @@ from litellm.router_strategy.adaptive_router.bandit import ( from litellm.router_strategy.adaptive_router.classifier import classify_prompt from litellm.router_strategy.adaptive_router.config import ( ADAPTIVE_ROUTER_CHOSEN_MODEL_KEY, + MIN_QUALITY_TIER_HEADER, + MIN_QUALITY_TIER_METADATA_KEY, OWNER_CACHE_TTL_SECONDS, ) + +# Sweep session-state cache when it exceeds this many live entries. Expired +# entries are dropped in bulk; amortizes to O(1) per insert. +_SESSION_STATE_SWEEP_THRESHOLD: int = 1024 from litellm.router_strategy.adaptive_router.signals import ( SessionState, SignalDelta, @@ -80,6 +86,9 @@ class AdaptiveRouter: self._cells: Dict[Tuple[RequestType, str], BanditCell] = {} self._owner_cache: Dict[str, Tuple[str, float]] = {} self._session_states: Dict[Tuple[str, str], SessionState] = {} + # Parallel expiry map for _session_states, same TTL as _owner_cache. + # Evicted opportunistically in `get_or_create_session_state`. + self._session_states_expiry: Dict[Tuple[str, str], float] = {} self._skipped_updates_total: int = 0 self._lock = asyncio.Lock() @@ -155,7 +164,10 @@ class AdaptiveRouter: ) request_type = classify_prompt(user_text) - chosen_model = await self.pick_model(request_type=request_type) + min_quality_tier = self._extract_min_quality_tier(request_kwargs) + chosen_model = await self.pick_model( + request_type=request_type, min_quality_tier=min_quality_tier + ) verbose_router_logger.debug( "AdaptiveRouter[%s]: classified=%s -> chose %s", self.router_name, @@ -257,6 +269,37 @@ class AdaptiveRouter: "queue": queue, } + @staticmethod + def _extract_min_quality_tier( + request_kwargs: Dict[str, Any], + ) -> Optional[int]: + """Pull `min_quality_tier` from request headers or metadata. + + Precedence: headers (`x-litellm-min-quality-tier`) over metadata + (`min_quality_tier`). Headers arrive lowercased from the proxy but we + lookup case-insensitively to be safe. Unparseable values are ignored + (treated as "not set") rather than raising — a bad header shouldn't + fail the request. + """ + headers = request_kwargs.get("headers") or {} + if isinstance(headers, dict): + for k, v in headers.items(): + if isinstance(k, str) and k.lower() == MIN_QUALITY_TIER_HEADER: + try: + return int(v) + except (TypeError, ValueError): + return None + + metadata = request_kwargs.get("metadata") or {} + if isinstance(metadata, dict): + raw = metadata.get(MIN_QUALITY_TIER_METADATA_KEY) + if raw is not None: + try: + return int(raw) + except (TypeError, ValueError): + return None + return None + def _eligible_models(self, min_quality_tier: Optional[int]) -> List[str]: if min_quality_tier is None: return list(self.config.available_models) @@ -276,6 +319,14 @@ class AdaptiveRouter: request_type: RequestType, ) -> SessionState: key = (session_id, model_name) + now = time.time() + + # Opportunistic bulk sweep when the cache grows past the threshold. + # Cheap relative to the alternative of a bounded LRU — conversations + # naturally become inactive within OWNER_CACHE_TTL_SECONDS. + if len(self._session_states) >= _SESSION_STATE_SWEEP_THRESHOLD: + self._evict_expired_session_states(now) + state = self._session_states.get(key) if state is None: state = SessionState( @@ -285,8 +336,17 @@ class AdaptiveRouter: classified_type=request_type.value, ) self._session_states[key] = state + self._session_states_expiry[key] = now + OWNER_CACHE_TTL_SECONDS return state + def _evict_expired_session_states(self, now: float) -> None: + """Drop session states whose TTL has passed. O(n) but amortized O(1) + per insert thanks to `_SESSION_STATE_SWEEP_THRESHOLD`.""" + expired = [k for k, exp in self._session_states_expiry.items() if exp <= now] + for k in expired: + self._session_states.pop(k, None) + self._session_states_expiry.pop(k, None) + async def record_turn( self, session_id: str, diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py b/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py index 49069e22fd1..93f49398e2f 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py @@ -222,3 +222,49 @@ async def test_load_state_from_db_handles_unknown_request_type(): assert r._cells[(RequestType.GENERAL, "fast")].alpha == 7.0 # Other request types kept their cold-start values. assert r._cells[(RequestType.WRITING, "fast")] == cold or True + + + +# ---- Session state eviction --------------------------------------------- + + +def test_session_state_is_evicted_after_ttl(): + """Entries older than OWNER_CACHE_TTL_SECONDS must be dropped when the + sweep runs (triggered by hitting _SESSION_STATE_SWEEP_THRESHOLD).""" + import time as _time + + from litellm.router_strategy.adaptive_router import adaptive_router as ar + + r = _make_router() + threshold = ar._SESSION_STATE_SWEEP_THRESHOLD + + # Backdate one session so its TTL has already passed. + stale_key = ("sess-stale", "fast") + r.get_or_create_session_state("sess-stale", "fast", RequestType.GENERAL) + r._session_states_expiry[stale_key] = _time.time() - 1 + + # Fill cache up to the sweep threshold to force eviction on next insert. + for i in range(threshold): + r.get_or_create_session_state(f"sess-{i}", "fast", RequestType.GENERAL) + + # Next insert triggers the sweep; stale entry should be gone. + r.get_or_create_session_state("sess-new", "fast", RequestType.GENERAL) + assert stale_key not in r._session_states + assert stale_key not in r._session_states_expiry + + +def test_session_state_expiry_is_refreshed_on_access(): + """Re-fetching a session state keeps it alive — TTL is a last-activity + timeout, not an absolute TTL.""" + import time as _time + + r = _make_router() + r.get_or_create_session_state("sess-A", "fast", RequestType.GENERAL) + first_exp = r._session_states_expiry[("sess-A", "fast")] + + _time.sleep(0.01) # move clock forward + r.get_or_create_session_state("sess-A", "fast", RequestType.GENERAL) + second_exp = r._session_states_expiry[("sess-A", "fast")] + + assert second_exp > first_exp + diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_async_pre_routing.py b/tests/test_litellm/router_strategy/adaptive_router/test_async_pre_routing.py index 313e20db41b..fb43cf403d6 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_async_pre_routing.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_async_pre_routing.py @@ -135,3 +135,108 @@ async def test_returns_messages_unchanged_in_response(): ) assert response.messages == messages + + +# ---- min_quality_tier extraction ---------------------------------------- + + +@pytest.mark.asyncio +async def test_min_quality_tier_from_header_is_forwarded_to_pick_model(): + """`x-litellm-min-quality-tier` header should reach pick_model.""" + r = _make_router() + r.pick_model = AsyncMock(return_value="smart") # type: ignore[method-assign] + + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={"headers": {"x-litellm-min-quality-tier": "3"}}, + messages=[{"role": "user", "content": "hi"}], + ) + + assert ( + r.pick_model.await_args.kwargs["min_quality_tier"] == 3 # type: ignore[union-attr] + ) + + +@pytest.mark.asyncio +async def test_min_quality_tier_from_header_case_insensitive(): + r = _make_router() + r.pick_model = AsyncMock(return_value="smart") # type: ignore[method-assign] + + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={"headers": {"X-LiteLLM-Min-Quality-Tier": "2"}}, + messages=[{"role": "user", "content": "hi"}], + ) + + assert ( + r.pick_model.await_args.kwargs["min_quality_tier"] == 2 # type: ignore[union-attr] + ) + + +@pytest.mark.asyncio +async def test_min_quality_tier_from_metadata_key(): + """Metadata `min_quality_tier` works when the header is absent.""" + r = _make_router() + r.pick_model = AsyncMock(return_value="smart") # type: ignore[method-assign] + + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={"metadata": {"min_quality_tier": 3}}, + messages=[{"role": "user", "content": "hi"}], + ) + + assert ( + r.pick_model.await_args.kwargs["min_quality_tier"] == 3 # type: ignore[union-attr] + ) + + +@pytest.mark.asyncio +async def test_header_takes_precedence_over_metadata(): + r = _make_router() + r.pick_model = AsyncMock(return_value="smart") # type: ignore[method-assign] + + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={ + "headers": {"x-litellm-min-quality-tier": "3"}, + "metadata": {"min_quality_tier": 1}, + }, + messages=[{"role": "user", "content": "hi"}], + ) + + assert ( + r.pick_model.await_args.kwargs["min_quality_tier"] == 3 # type: ignore[union-attr] + ) + + +@pytest.mark.asyncio +async def test_missing_min_quality_tier_passes_none(): + r = _make_router() + r.pick_model = AsyncMock(return_value="fast") # type: ignore[method-assign] + + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={}, + messages=[{"role": "user", "content": "hi"}], + ) + + assert ( + r.pick_model.await_args.kwargs["min_quality_tier"] is None # type: ignore[union-attr] + ) + + +@pytest.mark.asyncio +async def test_invalid_min_quality_tier_header_treated_as_none(): + """A garbage header value must not crash the request — treat as unset.""" + r = _make_router() + r.pick_model = AsyncMock(return_value="fast") # type: ignore[method-assign] + + await r.async_pre_routing_hook( + model="smart-cheap-router", + request_kwargs={"headers": {"x-litellm-min-quality-tier": "not-a-number"}}, + messages=[{"role": "user", "content": "hi"}], + ) + + assert ( + r.pick_model.await_args.kwargs["min_quality_tier"] is None # type: ignore[union-attr] + ) From 4f823cedac47473ea0dae58ccbe10d0afbb725d2 Mon Sep 17 00:00:00 2001 From: Michael-RZ-Berri Date: Mon, 20 Apr 2026 15:25:21 -0700 Subject: [PATCH 030/165] Add supported providers to prompt caching doc (#26124) * Add supported providers to prompt caching doc * Move Z.ai / GLM to cache_control marker list * Mark xAI models as supporting prompt caching * Narrow xAI prompt caching flag to models with documented cache pricing * Add prompt caching flag to grok-4, grok-4-0709, grok-4-latest --------- Co-authored-by: Michael Riad Zaky --- .../docs/completion/prompt_caching.md | 1 + .../docs/tutorials/prompt_caching.md | 16 ++++++++ model_prices_and_context_window.json | 39 ++++++++++++++++--- 3 files changed, 50 insertions(+), 6 deletions(-) diff --git a/docs/my-website/docs/completion/prompt_caching.md b/docs/my-website/docs/completion/prompt_caching.md index 402c7b9f4c7..aaae7e7be76 100644 --- a/docs/my-website/docs/completion/prompt_caching.md +++ b/docs/my-website/docs/completion/prompt_caching.md @@ -10,6 +10,7 @@ Supported Providers: - Vertex AI (`vertex_ai/`, `vertex_ai_beta/`) - Bedrock (`bedrock/`, `bedrock/invoke/`, `bedrock/converse`) ([All models bedrock supports prompt caching on](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html)) - Deepseek API (`deepseek/`) +- xAI (`xai/`) For the supported providers, LiteLLM follows the OpenAI prompt caching usage object format: diff --git a/docs/my-website/docs/tutorials/prompt_caching.md b/docs/my-website/docs/tutorials/prompt_caching.md index ab2aa00d773..581d2ba7c36 100644 --- a/docs/my-website/docs/tutorials/prompt_caching.md +++ b/docs/my-website/docs/tutorials/prompt_caching.md @@ -8,6 +8,22 @@ Reduce costs by up to 90% by using LiteLLM to auto-inject prompt caching checkpo +Supported Providers (`cache_control` marker): +- Anthropic API (`anthropic/`) +- AWS Bedrock - Claude (`bedrock/`) +- Vertex AI - Claude and Gemini (`vertex_ai/`) +- Google AI Studio - Gemini (`gemini/`) +- Azure AI - Claude (`azure_ai/`) +- OpenRouter - Claude, Gemini, MiniMax, GLM, z-ai routes (`openrouter/`) +- Databricks - Claude (`databricks/`) +- DashScope / Qwen (`dashscope/`) +- MiniMax (`minimax/`) +- Z.ai / GLM (`zai/`) + +Provider Managed (automatic, no marker needed): +- OpenAI (`openai/`) +- DeepSeek (`deepseek/`) +- xAI (`xai/`) ## How it works diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 04b68b8f4ec..72806369ea5 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -33302,6 +33302,7 @@ "output_cost_per_token": 1.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -33317,6 +33318,7 @@ "output_cost_per_token": 1.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -33332,6 +33334,7 @@ "output_cost_per_token": 2.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -33347,6 +33350,7 @@ "output_cost_per_token": 2.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -33362,6 +33366,7 @@ "output_cost_per_token": 1.5e-05, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": false, "supports_tool_choice": true, "supports_web_search": true @@ -33378,6 +33383,7 @@ "output_cost_per_token": 5e-07, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -33395,6 +33401,7 @@ "output_cost_per_token": 5e-07, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -33411,6 +33418,7 @@ "output_cost_per_token": 4e-06, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -33427,6 +33435,7 @@ "output_cost_per_token": 4e-06, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -33443,6 +33452,7 @@ "output_cost_per_token": 4e-06, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -33459,6 +33469,7 @@ "output_cost_per_token": 5e-07, "source": "https://x.ai/api#pricing", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": false, "supports_tool_choice": true, @@ -33474,38 +33485,41 @@ "output_cost_per_token": 1.5e-05, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, "xai/grok-4-fast-reasoning": { + "cache_read_input_token_cost": 5e-08, + "input_cost_per_token": 2e-07, + "input_cost_per_token_above_128k_tokens": 4e-07, "litellm_provider": "xai", "max_input_tokens": 2000000.0, "max_output_tokens": 2000000.0, "max_tokens": 2000000.0, "mode": "chat", - "input_cost_per_token": 2e-07, - "input_cost_per_token_above_128k_tokens": 4e-07, "output_cost_per_token": 5e-07, "output_cost_per_token_above_128k_tokens": 1e-06, - "cache_read_input_token_cost": 5e-08, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, "xai/grok-4-fast-non-reasoning": { + "cache_read_input_token_cost": 5e-08, + "input_cost_per_token": 2e-07, + "input_cost_per_token_above_128k_tokens": 4e-07, "litellm_provider": "xai", "max_input_tokens": 2000000.0, "max_output_tokens": 2000000.0, - "cache_read_input_token_cost": 5e-08, "max_tokens": 2000000.0, "mode": "chat", - "input_cost_per_token": 2e-07, - "input_cost_per_token_above_128k_tokens": 4e-07, "output_cost_per_token": 5e-07, "output_cost_per_token_above_128k_tokens": 1e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, @@ -33521,6 +33535,7 @@ "output_cost_per_token_above_128k_tokens": 3e-05, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, @@ -33536,6 +33551,7 @@ "output_cost_per_token_above_128k_tokens": 3e-05, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_web_search": true }, @@ -33553,6 +33569,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, "supports_tool_choice": true, @@ -33573,6 +33590,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, "supports_tool_choice": true, @@ -33593,6 +33611,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_response_schema": true, "supports_tool_choice": true, @@ -33613,6 +33632,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-non-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -33632,6 +33652,7 @@ "source": "https://docs.x.ai/docs/models/grok-4-1-fast-non-reasoning", "supports_audio_input": true, "supports_function_calling": true, + "supports_prompt_caching": true, "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, @@ -33648,6 +33669,7 @@ "output_cost_per_token": 6e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true, "supports_vision": true, @@ -33664,6 +33686,7 @@ "output_cost_per_token": 6e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true, "supports_vision": true, @@ -33696,6 +33719,7 @@ "output_cost_per_token": 6e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_tool_choice": true, "supports_vision": true, "supports_web_search": true @@ -33724,6 +33748,7 @@ "output_cost_per_token": 1.5e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true }, @@ -33738,6 +33763,7 @@ "output_cost_per_token": 1.5e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true }, @@ -33752,6 +33778,7 @@ "output_cost_per_token": 1.5e-06, "source": "https://docs.x.ai/docs/models", "supports_function_calling": true, + "supports_prompt_caching": true, "supports_reasoning": true, "supports_tool_choice": true }, From 0cfcec68e9b3b53249a17e13299431bad02adb14 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 15:25:51 -0700 Subject: [PATCH 031/165] fix(adaptive_router/hooks): populate tool_results so failure signal fires MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The post-call hook was hardcoding tool_results=[] on every Turn, so the failure detector never saw tool errors and the bandit only learned from satisfaction — never from negative tool outcomes. Added _recent_tool_results(messages): walks the request messages from the tail and collects the contiguous run of role=='tool' entries — those are the results from the most recent assistant tool_calls round. Normalizes each to {content, is_error}, the only fields signals._detect_failure / _detect_exhaustion read. Tests: 6 new covering empty input, trailing-run extraction, is_error propagation, boundary at first non-tool message, no-trailing-tool case, and the end-to-end path from hook -> Turn.tool_results. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../router_strategy/adaptive_router/hooks.py | 33 ++++++++- .../adaptive_router/test_hooks.py | 74 +++++++++++++++++++ 2 files changed, 106 insertions(+), 1 deletion(-) diff --git a/litellm/router_strategy/adaptive_router/hooks.py b/litellm/router_strategy/adaptive_router/hooks.py index ddcb135e1a4..880c262f5d8 100644 --- a/litellm/router_strategy/adaptive_router/hooks.py +++ b/litellm/router_strategy/adaptive_router/hooks.py @@ -102,6 +102,36 @@ def _last_user_content(messages: Optional[List[Dict[str, Any]]]) -> Optional[str return None +def _recent_tool_results(messages: Optional[List[Dict[str, Any]]]) -> List[Dict[str, Any]]: + """Extract the current turn's tool result payloads from the request messages. + + Tool results are `role == "tool"` messages that sit at the tail of the + conversation — i.e. after the most recent assistant message with + `tool_calls`, waiting for the model to produce a user-facing reply. Walk + backwards from the end and collect the contiguous run of tool messages; + stop at the first non-tool message. + + Each result is normalized to `{content, is_error}` — the only fields + `signals._detect_failure` / `_detect_exhaustion` actually read. + """ + if not messages: + return [] + results: List[Dict[str, Any]] = [] + for msg in reversed(messages): + if not isinstance(msg, dict): + break + if msg.get("role") != "tool": + break + content = msg.get("content") + # Some providers (Anthropic-style) carry an explicit error flag; OpenAI + # tool results don't, so fall back to an empty/missing content heuristic + # inside `_detect_failure`. + is_error = bool(msg.get("is_error")) + results.append({"content": content, "is_error": is_error}) + results.reverse() + return results + + def _assistant_content_and_tool_calls(response_obj: Any) -> tuple: """Return (assistant_text, tool_calls_list) extracted from a ModelResponse-ish object.""" if response_obj is None: @@ -222,6 +252,7 @@ class AdaptiveRouterPostCallHook(CustomLogger): user_text = _last_user_content(messages) assistant_text, tool_calls = _assistant_content_and_tool_calls(response_obj) + tool_results = _recent_tool_results(messages) request_type = classify_prompt(user_text or "") turn = Turn( @@ -230,7 +261,7 @@ class AdaptiveRouterPostCallHook(CustomLogger): assistant_text if isinstance(assistant_text, str) else None ), tool_calls=tool_calls, - tool_results=[], + tool_results=tool_results, response_status=response_status, ) await self.adaptive_router.record_turn( diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py b/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py index 17fc4fd732b..6cd807f52a2 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py @@ -10,6 +10,7 @@ from litellm.router_strategy.adaptive_router.config import ( ) from litellm.router_strategy.adaptive_router.hooks import ( AdaptiveRouterPostCallHook, + _recent_tool_results, _resolve_session_key, ) from litellm.router_strategy.adaptive_router.signals import Turn @@ -220,6 +221,79 @@ async def test_hook_passes_tool_calls_through(): assert turn.tool_calls == [tc] +# ---- _recent_tool_results ------------------------------------------------ + + +def test_recent_tool_results_empty_when_no_messages(): + assert _recent_tool_results(None) == [] + assert _recent_tool_results([]) == [] + + +def test_recent_tool_results_collects_trailing_tool_messages(): + """Tool messages at the tail of the conversation are extracted in order.""" + messages = [ + {"role": "user", "content": "hi"}, + {"role": "assistant", "content": None, "tool_calls": [{"id": "t1"}]}, + {"role": "tool", "tool_call_id": "t1", "content": "result A"}, + {"role": "tool", "tool_call_id": "t2", "content": "result B"}, + ] + results = _recent_tool_results(messages) + assert [r["content"] for r in results] == ["result A", "result B"] + assert all(r["is_error"] is False for r in results) + + +def test_recent_tool_results_propagates_is_error_flag(): + messages = [ + {"role": "user", "content": "hi"}, + {"role": "assistant", "content": None, "tool_calls": [{"id": "t1"}]}, + {"role": "tool", "content": "boom", "is_error": True}, + ] + results = _recent_tool_results(messages) + assert results == [{"content": "boom", "is_error": True}] + + +def test_recent_tool_results_stops_at_first_non_tool_message(): + """Only the trailing run of tool messages counts — prior rounds are + considered already attributed.""" + messages = [ + {"role": "user", "content": "hi"}, + {"role": "tool", "content": "stale"}, # earlier round, ignored + {"role": "assistant", "content": "intermediate"}, + {"role": "user", "content": "follow-up"}, + {"role": "tool", "content": "current"}, + ] + results = _recent_tool_results(messages) + assert [r["content"] for r in results] == ["current"] + + +def test_recent_tool_results_empty_when_no_trailing_tool_message(): + messages = [ + {"role": "user", "content": "hi"}, + {"role": "assistant", "content": "hello"}, + ] + assert _recent_tool_results(messages) == [] + + +@pytest.mark.asyncio +async def test_hook_passes_tool_results_to_turn_for_failure_detection(): + """A trailing tool message with `is_error` must reach `Turn.tool_results` + so the failure-signal path fires.""" + hook = _make_hook() + messages = _long_messages() + messages.append( + {"role": "assistant", "content": None, "tool_calls": [{"id": "t1"}]} + ) + messages.append( + {"role": "tool", "tool_call_id": "t1", "content": "500", "is_error": True} + ) + kwargs = _kwargs(chosen="fast", messages=messages) + + await hook.async_log_success_event(kwargs, _resp_with_content("ok"), 0.0, 1.0) + + turn: Turn = hook.adaptive_router.record_turn.await_args.kwargs["turn"] + assert turn.tool_results == [{"content": "500", "is_error": True}] + + @pytest.mark.asyncio async def test_hook_swallows_exceptions_from_record_turn(): hook = _make_hook() From 9aee0da7d8c3618b6505a83a646ab388bef77745 Mon Sep 17 00:00:00 2001 From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com> Date: Mon, 20 Apr 2026 15:29:43 -0700 Subject: [PATCH 032/165] fix: /health/readiness 503 loop when DB is unreachable (#26134) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix: /health/readiness returns 503 when DB is unreachable due to handle_db_exception re-raising handle_db_exception() re-raises the Prisma exception inside _db_health_readiness_check's except block, which propagates out to health_readiness() and gets wrapped in a 503. The health endpoint never reached the reconnect path and the service never recovered. Fix: - Remove handle_db_exception() call from _db_health_readiness_check — that helper is for API request handlers (allow_requests_on_db_unavailable flag), not health checks - Replace raw disconnect()+connect() with attempt_db_reconnect(), which uses the proper lock, cooldown, escalation, and heavy-reconnect (recreate_prisma_client) machinery * test: update health readiness tests for handle_db_exception removal - Remove tests that expected handle_db_exception to re-raise (old buggy behaviour) - Remove tests asserting disconnect()/connect() calls (replaced by attempt_db_reconnect) - Add regression tests covering the 503 loop fix: - transport errors never raise (ClientNotConnectedError, httpx.ConnectError, etc.) - reconnect success path returns 'connected' - reconnect failure path returns 'disconnected' without raising - non-transport errors return 'disconnected', skip reconnect --------- Co-authored-by: yuneng-jiang --- .../health_endpoints/_health_endpoints.py | 6 +- .../health_endpoints/test_health_endpoints.py | 218 +++++------------- 2 files changed, 66 insertions(+), 158 deletions(-) diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py index 8fd19548cbb..b4b5de1746e 100644 --- a/litellm/proxy/health_endpoints/_health_endpoints.py +++ b/litellm/proxy/health_endpoints/_health_endpoints.py @@ -1121,14 +1121,14 @@ async def _db_health_readiness_check(): return db_health_cache except Exception as e: db_health_cache = {"status": "disconnected", "last_updated": datetime.now()} - PrismaDBExceptionHandler.handle_db_exception(e) if PrismaDBExceptionHandler.is_database_transport_error(e): try: verbose_proxy_logger.warning( "_db_health_readiness_check: health_check failed, attempting reconnect" ) - await prisma_client.disconnect() - await prisma_client.connect() + await prisma_client.attempt_db_reconnect( + reason="health_readiness_check" + ) await prisma_client.health_check() verbose_proxy_logger.info( "_db_health_readiness_check: reconnect succeeded" diff --git a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py index c275c665114..ba260142351 100644 --- a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py +++ b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py @@ -9,6 +9,7 @@ sys.path.insert( 0, os.path.abspath("../../..") ) # Adds the parent directory to the system path +import httpx import pytest from prisma.errors import ClientNotConnectedError, HTTPClientClosedError, PrismaError @@ -110,220 +111,127 @@ async def test_db_health_prisma_client_none(): @pytest.mark.asyncio @pytest.mark.parametrize( - "prisma_error", + "transport_error", [ - PrismaError(), + httpx.ConnectError("All connection attempts failed"), ClientNotConnectedError(), HTTPClientClosedError(), + PrismaError("Can't reach database server"), ], ) -async def test_db_health_error_flag_off_raises_no_reconnect(prisma_error): +async def test_db_health_transport_error_never_raises(transport_error): """ - When health_check raises and allow_requests_on_db_unavailable is False, - handle_db_exception re-raises immediately. The reconnect path is never - reached, so disconnect/connect are never called. + Regression test for the /health/readiness 503 loop bug. + + handle_db_exception() used to re-raise inside _db_health_readiness_check, + turning any DB outage into a 503 "Service Unhealthy" response that never + recovered. Transport errors (ClientNotConnectedError, httpx.ConnectError, + etc.) must return {"status": "disconnected"} — never raise. """ mock_prisma = MagicMock() - mock_prisma.health_check = AsyncMock(side_effect=prisma_error) - mock_prisma.disconnect = AsyncMock() + mock_prisma.health_check = AsyncMock(side_effect=transport_error) + mock_prisma.attempt_db_reconnect = AsyncMock(return_value=False) _health_endpoints_module.db_health_cache = { "status": "connected", "last_updated": datetime.now() - timedelta(seconds=20), } - with ( - patch("litellm.proxy.proxy_server.prisma_client", mock_prisma), - patch( - "litellm.proxy.proxy_server.general_settings", - {"allow_requests_on_db_unavailable": False}, - ), - ): - with pytest.raises(Exception) as exc_info: - await _db_health_readiness_check() + with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma): + result = await _db_health_readiness_check() - assert exc_info.value is prisma_error - mock_prisma.disconnect.assert_not_called() - assert _health_endpoints_module.db_health_cache["status"] == "disconnected" + assert result["status"] == "disconnected" + mock_prisma.attempt_db_reconnect.assert_called_once_with( + reason="health_readiness_check" + ) @pytest.mark.asyncio @pytest.mark.parametrize( - "prisma_error", + "transport_error", [ - PrismaError("Can't reach database server"), + httpx.ConnectError("All connection attempts failed"), ClientNotConnectedError(), HTTPClientClosedError(), ], ) -async def test_db_health_error_flag_on_reconnect_succeeds(prisma_error): +async def test_db_health_transport_error_reconnect_succeeds(transport_error): """ - When health_check raises, allow_requests_on_db_unavailable is True, - and the reconnect cycle (disconnect -> connect -> health_check) succeeds, - return 'connected' and update the cache. + When health_check raises a transport error and attempt_db_reconnect + succeeds, the second health_check passes and we return 'connected'. """ mock_prisma = MagicMock() - mock_prisma.health_check = AsyncMock(side_effect=[prisma_error, None]) - mock_prisma.disconnect = AsyncMock() - mock_prisma.connect = AsyncMock() + mock_prisma.health_check = AsyncMock(side_effect=[transport_error, None]) + mock_prisma.attempt_db_reconnect = AsyncMock(return_value=True) _health_endpoints_module.db_health_cache = { "status": "connected", "last_updated": datetime.now() - timedelta(seconds=20), } - with ( - patch("litellm.proxy.proxy_server.prisma_client", mock_prisma), - patch( - "litellm.proxy.proxy_server.general_settings", - {"allow_requests_on_db_unavailable": True}, - ), - ): + with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma): result = await _db_health_readiness_check() assert result["status"] == "connected" - mock_prisma.disconnect.assert_called_once() - mock_prisma.connect.assert_called_once() + mock_prisma.attempt_db_reconnect.assert_called_once_with( + reason="health_readiness_check" + ) assert mock_prisma.health_check.call_count == 2 @pytest.mark.asyncio @pytest.mark.parametrize( - "prisma_error", + "transport_error", [ - PrismaError("Can't reach database server"), + httpx.ConnectError("All connection attempts failed"), ClientNotConnectedError(), HTTPClientClosedError(), ], ) -async def test_db_health_error_flag_on_reconnect_fails(prisma_error): +async def test_db_health_transport_error_reconnect_fails(transport_error): """ - When health_check raises, allow_requests_on_db_unavailable is True, - but the reconnect also fails, return 'disconnected' instead of raising. - This respects the flag's intent: keep serving even without a DB. + When health_check raises a transport error and attempt_db_reconnect also + fails, return 'disconnected' without raising. """ mock_prisma = MagicMock() - mock_prisma.health_check = AsyncMock(side_effect=prisma_error) - mock_prisma.disconnect = AsyncMock() - mock_prisma.connect = AsyncMock() - - _health_endpoints_module.db_health_cache = { - "status": "connected", - "last_updated": datetime.now() - timedelta(seconds=20), - } - - with ( - patch("litellm.proxy.proxy_server.prisma_client", mock_prisma), - patch( - "litellm.proxy.proxy_server.general_settings", - {"allow_requests_on_db_unavailable": True}, - ), - ): - result = await _db_health_readiness_check() - - assert result["status"] == "disconnected" - mock_prisma.disconnect.assert_called_once() - mock_prisma.connect.assert_called_once() - - -@pytest.mark.asyncio -async def test_db_health_non_transport_error_flag_off_raises(): - """ - When health_check raises a non-transport error and - allow_requests_on_db_unavailable is False, handle_db_exception - re-raises before reaching the is_database_transport_error guard. - Cache is still invalidated before the re-raise. - """ - non_transport_error = PrismaError("UniqueViolationError") - mock_prisma = MagicMock() - mock_prisma.health_check = AsyncMock(side_effect=non_transport_error) - mock_prisma.disconnect = AsyncMock() - mock_prisma.connect = AsyncMock() - - _health_endpoints_module.db_health_cache = { - "status": "connected", - "last_updated": datetime.now() - timedelta(seconds=20), - } - - with ( - patch("litellm.proxy.proxy_server.prisma_client", mock_prisma), - patch( - "litellm.proxy.proxy_server.general_settings", - {"allow_requests_on_db_unavailable": False}, - ), - ): - with pytest.raises(PrismaError): - await _db_health_readiness_check() - - assert _health_endpoints_module.db_health_cache["status"] == "disconnected" - mock_prisma.disconnect.assert_not_called() - mock_prisma.connect.assert_not_called() - - -@pytest.mark.asyncio -async def test_db_health_non_transport_error_flag_on_skips_reconnect(): - """ - When health_check raises a non-transport error (e.g. data-layer) and - allow_requests_on_db_unavailable is True, handle_db_exception swallows - the exception, then is_database_transport_error returns False so the - reconnect cycle is skipped. Returns 'disconnected' without calling - disconnect/connect. - """ - non_transport_error = PrismaError("UniqueViolationError") - mock_prisma = MagicMock() - mock_prisma.health_check = AsyncMock(side_effect=non_transport_error) - mock_prisma.disconnect = AsyncMock() - mock_prisma.connect = AsyncMock() - - _health_endpoints_module.db_health_cache = { - "status": "connected", - "last_updated": datetime.now() - timedelta(seconds=20), - } - - with ( - patch("litellm.proxy.proxy_server.prisma_client", mock_prisma), - patch( - "litellm.proxy.proxy_server.general_settings", - {"allow_requests_on_db_unavailable": True}, - ), - ): - result = await _db_health_readiness_check() - - assert result["status"] == "disconnected" - mock_prisma.disconnect.assert_not_called() - mock_prisma.connect.assert_not_called() - - -@pytest.mark.asyncio -async def test_db_health_reconnect_disconnect_fails(): - """ - When disconnect() itself raises during the reconnect cycle, - the inner except catches it and returns 'disconnected'. - connect() and the second health_check() are never called. - """ - transport_error = ClientNotConnectedError() - mock_prisma = MagicMock() mock_prisma.health_check = AsyncMock(side_effect=transport_error) - mock_prisma.disconnect = AsyncMock(side_effect=RuntimeError("already closed")) - mock_prisma.connect = AsyncMock() + mock_prisma.attempt_db_reconnect = AsyncMock( + side_effect=RuntimeError("reconnect failed") + ) _health_endpoints_module.db_health_cache = { "status": "connected", "last_updated": datetime.now() - timedelta(seconds=20), } - with ( - patch("litellm.proxy.proxy_server.prisma_client", mock_prisma), - patch( - "litellm.proxy.proxy_server.general_settings", - {"allow_requests_on_db_unavailable": True}, - ), - ): + with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma): result = await _db_health_readiness_check() assert result["status"] == "disconnected" - mock_prisma.disconnect.assert_called_once() - mock_prisma.connect.assert_not_called() + + +@pytest.mark.asyncio +async def test_db_health_non_transport_error_returns_disconnected(): + """ + When health_check raises a non-transport error (e.g. data-layer error), + is_database_transport_error returns False so reconnect is skipped. + Returns 'disconnected' without raising and without calling attempt_db_reconnect. + """ + non_transport_error = PrismaError("UniqueViolationError") + mock_prisma = MagicMock() + mock_prisma.health_check = AsyncMock(side_effect=non_transport_error) + mock_prisma.attempt_db_reconnect = AsyncMock() + + _health_endpoints_module.db_health_cache = { + "status": "connected", + "last_updated": datetime.now() - timedelta(seconds=20), + } + + with patch("litellm.proxy.proxy_server.prisma_client", mock_prisma): + result = await _db_health_readiness_check() + + assert result["status"] == "disconnected" + mock_prisma.attempt_db_reconnect.assert_not_called() @pytest.mark.asyncio From 3bae051113a7668856031ae7c38e40e39b3756f9 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 15:43:47 -0700 Subject: [PATCH 033/165] [Refactor] revert _experimental/out regeneration; leave to release runbook MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The UI rebuild bundled into this PR is not needed for the Dockerfile change — the image simply copies whatever _experimental/out/ is in the tree. Regenerating here conflicts with the release-time refresh policy and adds ~100 files of review noise / merge-conflict risk for any concurrent UI PR. --- litellm/proxy/_experimental/out/404.html | 2 +- .../proxy/_experimental/out/__next.__PAGE__.txt | 2 +- litellm/proxy/_experimental/out/__next._full.txt | 2 +- litellm/proxy/_experimental/out/__next._head.txt | 2 +- .../proxy/_experimental/out/__next._index.txt | 2 +- litellm/proxy/_experimental/out/__next._tree.txt | 2 +- .../3qyC5Vtvhd5fSC6sPp1iW/_buildManifest.js | 16 ++++++++++++++++ .../_clientMiddlewareManifest.json | 1 + .../static/3qyC5Vtvhd5fSC6sPp1iW/_ssgManifest.js | 1 + litellm/proxy/_experimental/out/_not-found.html | 2 +- litellm/proxy/_experimental/out/_not-found.txt | 2 +- .../out/_not-found/__next._full.txt | 2 +- .../out/_not-found/__next._head.txt | 2 +- .../out/_not-found/__next._index.txt | 2 +- .../_not-found/__next._not-found.__PAGE__.txt | 2 +- .../out/_not-found/__next._not-found.txt | 2 +- .../out/_not-found/__next._tree.txt | 2 +- .../proxy/_experimental/out/api-reference.html | 2 +- .../proxy/_experimental/out/api-reference.txt | 2 +- ...t.!KGRhc2hib2FyZCk.api-reference.__PAGE__.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.api-reference.txt | 2 +- .../api-reference/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../out/api-reference/__next._full.txt | 2 +- .../out/api-reference/__next._head.txt | 2 +- .../out/api-reference/__next._index.txt | 2 +- .../out/api-reference/__next._tree.txt | 2 +- litellm/proxy/_experimental/out/chat.html | 2 +- litellm/proxy/_experimental/out/chat.txt | 2 +- .../_experimental/out/chat/__next._full.txt | 2 +- .../_experimental/out/chat/__next._head.txt | 2 +- .../_experimental/out/chat/__next._index.txt | 2 +- .../_experimental/out/chat/__next._tree.txt | 2 +- .../out/chat/__next.chat.__PAGE__.txt | 2 +- .../proxy/_experimental/out/chat/__next.chat.txt | 2 +- .../out/experimental/api-playground.html | 2 +- .../out/experimental/api-playground.txt | 2 +- ...yZCk.experimental.api-playground.__PAGE__.txt | 2 +- ...Rhc2hib2FyZCk.experimental.api-playground.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.experimental.txt | 2 +- .../api-playground/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../experimental/api-playground/__next._full.txt | 2 +- .../experimental/api-playground/__next._head.txt | 2 +- .../api-playground/__next._index.txt | 2 +- .../experimental/api-playground/__next._tree.txt | 2 +- .../_experimental/out/experimental/budgets.html | 2 +- .../_experimental/out/experimental/budgets.txt | 2 +- ...c2hib2FyZCk.experimental.budgets.__PAGE__.txt | 2 +- ...ext.!KGRhc2hib2FyZCk.experimental.budgets.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.experimental.txt | 2 +- .../budgets/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../out/experimental/budgets/__next._full.txt | 2 +- .../out/experimental/budgets/__next._head.txt | 2 +- .../out/experimental/budgets/__next._index.txt | 2 +- .../out/experimental/budgets/__next._tree.txt | 2 +- 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| 2 +- .../out/experimental/prompts/__next._index.txt | 2 +- .../out/experimental/prompts/__next._tree.txt | 2 +- .../out/experimental/tag-management.html | 2 +- .../out/experimental/tag-management.txt | 2 +- ...yZCk.experimental.tag-management.__PAGE__.txt | 2 +- ...Rhc2hib2FyZCk.experimental.tag-management.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.experimental.txt | 2 +- .../tag-management/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../experimental/tag-management/__next._full.txt | 2 +- .../experimental/tag-management/__next._head.txt | 2 +- .../tag-management/__next._index.txt | 2 +- .../experimental/tag-management/__next._tree.txt | 2 +- litellm/proxy/_experimental/out/guardrails.html | 2 +- litellm/proxy/_experimental/out/guardrails.txt | 2 +- ...next.!KGRhc2hib2FyZCk.guardrails.__PAGE__.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.guardrails.txt | 2 +- .../out/guardrails/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../out/guardrails/__next._full.txt | 2 +- .../out/guardrails/__next._head.txt | 2 +- .../out/guardrails/__next._index.txt | 2 +- .../out/guardrails/__next._tree.txt | 2 +- litellm/proxy/_experimental/out/index.html | 2 +- litellm/proxy/_experimental/out/index.txt | 2 +- litellm/proxy/_experimental/out/login.html | 2 +- litellm/proxy/_experimental/out/login.txt | 2 +- .../_experimental/out/login/__next._full.txt | 2 +- .../_experimental/out/login/__next._head.txt | 2 +- .../_experimental/out/login/__next._index.txt | 2 +- .../_experimental/out/login/__next._tree.txt | 2 +- .../out/login/__next.login.__PAGE__.txt | 2 +- .../_experimental/out/login/__next.login.txt | 2 +- litellm/proxy/_experimental/out/logs.html | 2 +- litellm/proxy/_experimental/out/logs.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.logs.__PAGE__.txt | 2 +- .../out/logs/__next.!KGRhc2hib2FyZCk.logs.txt | 2 +- .../out/logs/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../_experimental/out/logs/__next._full.txt | 2 +- .../_experimental/out/logs/__next._head.txt | 2 +- .../_experimental/out/logs/__next._index.txt | 2 +- .../_experimental/out/logs/__next._tree.txt | 2 +- .../_experimental/out/mcp/oauth/callback.html | 2 +- .../_experimental/out/mcp/oauth/callback.txt | 2 +- .../out/mcp/oauth/callback/__next._full.txt | 2 +- .../out/mcp/oauth/callback/__next._head.txt | 2 +- .../out/mcp/oauth/callback/__next._index.txt | 2 +- .../out/mcp/oauth/callback/__next._tree.txt | 2 +- .../__next.mcp.oauth.callback.__PAGE__.txt | 2 +- .../oauth/callback/__next.mcp.oauth.callback.txt | 2 +- .../out/mcp/oauth/callback/__next.mcp.oauth.txt | 2 +- .../out/mcp/oauth/callback/__next.mcp.txt | 2 +- litellm/proxy/_experimental/out/model-hub.html | 2 +- litellm/proxy/_experimental/out/model-hub.txt | 2 +- ..._next.!KGRhc2hib2FyZCk.model-hub.__PAGE__.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.model-hub.txt | 2 +- .../out/model-hub/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../_experimental/out/model-hub/__next._full.txt | 2 +- .../_experimental/out/model-hub/__next._head.txt | 2 +- .../out/model-hub/__next._index.txt | 2 +- .../_experimental/out/model-hub/__next._tree.txt | 2 +- litellm/proxy/_experimental/out/model_hub.html | 2 +- litellm/proxy/_experimental/out/model_hub.txt | 2 +- .../_experimental/out/model_hub/__next._full.txt | 2 +- .../_experimental/out/model_hub/__next._head.txt | 2 +- .../out/model_hub/__next._index.txt | 2 +- .../_experimental/out/model_hub/__next._tree.txt | 2 +- .../out/model_hub/__next.model_hub.__PAGE__.txt | 2 +- .../out/model_hub/__next.model_hub.txt | 2 +- .../proxy/_experimental/out/model_hub_table.html | 2 +- .../proxy/_experimental/out/model_hub_table.txt | 2 +- .../out/model_hub_table/__next._full.txt | 2 +- .../out/model_hub_table/__next._head.txt | 2 +- .../out/model_hub_table/__next._index.txt | 2 +- .../out/model_hub_table/__next._tree.txt | 2 +- .../__next.model_hub_table.__PAGE__.txt | 2 +- .../model_hub_table/__next.model_hub_table.txt | 2 +- .../_experimental/out/models-and-endpoints.html | 2 +- .../_experimental/out/models-and-endpoints.txt | 2 +- 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.../organizations/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../out/organizations/__next._full.txt | 2 +- .../out/organizations/__next._head.txt | 2 +- .../out/organizations/__next._index.txt | 2 +- .../out/organizations/__next._tree.txt | 2 +- litellm/proxy/_experimental/out/playground.html | 2 +- litellm/proxy/_experimental/out/playground.txt | 2 +- ...next.!KGRhc2hib2FyZCk.playground.__PAGE__.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.playground.txt | 2 +- .../out/playground/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../out/playground/__next._full.txt | 2 +- .../out/playground/__next._head.txt | 2 +- .../out/playground/__next._index.txt | 2 +- .../out/playground/__next._tree.txt | 2 +- litellm/proxy/_experimental/out/policies.html | 2 +- litellm/proxy/_experimental/out/policies.txt | 2 +- ...__next.!KGRhc2hib2FyZCk.policies.__PAGE__.txt | 2 +- .../__next.!KGRhc2hib2FyZCk.policies.txt | 2 +- .../out/policies/__next.!KGRhc2hib2FyZCk.txt | 2 +- .../_experimental/out/policies/__next._full.txt | 2 +- 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diff --git a/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt b/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt index 49e481c6eae..3999932cd8b 100644 --- a/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt +++ b/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt @@ -1,4 +1,4 @@ :HL["/litellm-asset-prefix/_next/static/chunks/4e20891f2fd03463.css","style"] :HL["/litellm-asset-prefix/_next/static/chunks/ad532bdba5680b08.css","style"] :HL["/litellm-asset-prefix/_next/static/media/83afe278b6a6bb3c-s.p.3a6ba036.woff2","font",{"crossOrigin":"","type":"font/woff2"}] 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Update the model references in this file to the current pinned haiku version. --- .../test_anthropic_messages_passthrough.py | 32 +++++++++---------- 1 file changed, 16 insertions(+), 16 deletions(-) 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 ae2d66eb955..84b14f9508b 100644 --- a/tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py +++ b/tests/pass_through_unit_tests/test_anthropic_messages_passthrough.py @@ -77,7 +77,7 @@ class TestAnthropicDirectAPI(BaseAnthropicMessagesTest): @property def model_config(self) -> Dict[str, Any]: return { - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "api_key": os.getenv("ANTHROPIC_API_KEY"), } @@ -86,7 +86,7 @@ class TestAnthropicDirectAPI(BaseAnthropicMessagesTest): """ This is the model name that is expected to be in the logging payload """ - return "claude-3-haiku-20240307" + return "claude-haiku-4-5-20251001" class TestAnthropicBedrockAPI(BaseAnthropicMessagesTest): @@ -140,7 +140,7 @@ async def test_anthropic_messages_streaming_with_bad_request(): response = await litellm.anthropic.messages.acreate( messages=[{"role": "user", "content": "hi"}], api_key=os.getenv("ANTHROPIC_API_KEY"), - model="claude-3-haiku-20240307", + model="claude-haiku-4-5-20251001", max_tokens=100, stream=True, ) @@ -168,7 +168,7 @@ async def test_anthropic_messages_router_streaming_with_bad_request(): { "model_name": "claude-special-alias", "litellm_params": { - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "api_key": os.getenv("ANTHROPIC_API_KEY"), }, } @@ -205,7 +205,7 @@ async def test_anthropic_messages_litellm_router_non_streaming(): { "model_name": "claude-special-alias", "litellm_params": { - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "api_key": os.getenv("ANTHROPIC_API_KEY"), }, } @@ -243,7 +243,7 @@ async def test_anthropic_messages_litellm_router_routing_strategy(): { "model_name": "claude-special-alias", "litellm_params": { - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "api_key": os.getenv("ANTHROPIC_API_KEY"), }, } @@ -341,7 +341,7 @@ async def test_anthropic_messages_litellm_router_latency_metadata_tracking(): "type": "message", "role": "assistant", "content": [{"type": "text", "text": "Here's a joke for you!"}], - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "stop_reason": "end_turn", "usage": {"input_tokens": 10, "output_tokens": 20}, } @@ -355,7 +355,7 @@ async def test_anthropic_messages_litellm_router_latency_metadata_tracking(): { "model_name": MODEL_GROUP, "litellm_params": { - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "api_key": os.getenv("ANTHROPIC_API_KEY"), }, } @@ -419,7 +419,7 @@ async def test_anthropic_messages_litellm_router_latency_metadata_tracking(): assert "model_info" in litellm_metadata # Verify other call parameters - assert call_kwargs["model"] == "claude-3-haiku-20240307" + assert call_kwargs["model"] == "claude-haiku-4-5-20251001" assert call_kwargs["messages"] == messages assert call_kwargs["max_tokens"] == 100 assert call_kwargs["metadata"] == {"user_id": "hello"} @@ -459,7 +459,7 @@ async def test_anthropic_messages_litellm_router_non_streaming_with_logging(): { "model_name": MODEL_GROUP, "litellm_params": { - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "api_key": os.getenv("ANTHROPIC_API_KEY"), }, } @@ -496,7 +496,7 @@ async def test_anthropic_messages_litellm_router_non_streaming_with_logging(): assert test_custom_logger.logged_standard_logging_payload["response"] is not None assert ( test_custom_logger.logged_standard_logging_payload["model"] - == "claude-3-haiku-20240307" + == "claude-haiku-4-5-20251001" ) # check logged usage + spend @@ -543,7 +543,7 @@ async def test_anthropic_messages_with_extra_headers(): "text": "Why did the chicken cross the road? To get to the other side!", } ], - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "stop_reason": "end_turn", "usage": {"input_tokens": 10, "output_tokens": 20}, } @@ -556,7 +556,7 @@ async def test_anthropic_messages_with_extra_headers(): response = await litellm.anthropic.messages.acreate( messages=messages, api_key=api_key, - model="claude-3-haiku-20240307", + model="claude-haiku-4-5-20251001", max_tokens=100, client=mock_client, provider_specific_header={ @@ -689,7 +689,7 @@ async def test_anthropic_messages_with_thinking(): "text": "Why did the chicken cross the road? To get to the other side!", } ], - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "stop_reason": "end_turn", "usage": {"input_tokens": 10, "output_tokens": 20}, } @@ -702,7 +702,7 @@ async def test_anthropic_messages_with_thinking(): response = await litellm.anthropic.messages.acreate( messages=messages, api_key=api_key, - model="claude-3-haiku-20240307", + model="claude-haiku-4-5-20251001", max_tokens=100, client=mock_client, thinking={"budget_tokens": 100}, @@ -717,7 +717,7 @@ async def test_anthropic_messages_with_thinking(): request_body = json.loads(call_kwargs.get("data", {})) print("REQUEST BODY", request_body) assert request_body["max_tokens"] == 100 - assert request_body["model"] == "claude-3-haiku-20240307" + assert request_body["model"] == "claude-haiku-4-5-20251001" assert request_body["messages"] == messages assert request_body["thinking"] == {"budget_tokens": 100} From 353e406229b41c9ecf07a535c0b714073f369c19 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 15:45:31 -0700 Subject: [PATCH 035/165] [Refactor] remove orphaned _experimental/out build artifacts The previous revert left three files under _experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/ still staged (git checkout origin/main -- only restores files present in main, it does not delete files that exist only on the PR branch). Remove them so the PR no longer touches _experimental/out/ at all. --- .../8Gn6tA2K4jsPxzCCMwObH/_buildManifest.js | 16 ---------------- .../_clientMiddlewareManifest.json | 1 - .../static/8Gn6tA2K4jsPxzCCMwObH/_ssgManifest.js | 1 - 3 files changed, 18 deletions(-) delete mode 100644 litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_buildManifest.js delete mode 100644 litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_clientMiddlewareManifest.json delete mode 100644 litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_ssgManifest.js diff --git a/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_buildManifest.js b/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_buildManifest.js deleted file mode 100644 index d74e1661bbe..00000000000 --- a/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_buildManifest.js +++ /dev/null @@ -1,16 +0,0 @@ -self.__BUILD_MANIFEST = { - "__rewrites": { - "afterFiles": [], - "beforeFiles": [ - { - "source": "/litellm-asset-prefix/_next/:path+", - "destination": "/_next/:path+" - } - ], - "fallback": [] - }, - "sortedPages": [ - "/_app", - "/_error" - ] -};self.__BUILD_MANIFEST_CB && self.__BUILD_MANIFEST_CB() \ No newline at end of file diff --git a/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_clientMiddlewareManifest.json b/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_clientMiddlewareManifest.json deleted file mode 100644 index 0637a088a01..00000000000 --- a/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_clientMiddlewareManifest.json +++ /dev/null @@ -1 +0,0 @@ -[] \ No newline at end of file diff --git a/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_ssgManifest.js b/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_ssgManifest.js deleted file mode 100644 index 5b3ff592fd4..00000000000 --- a/litellm/proxy/_experimental/out/_next/static/8Gn6tA2K4jsPxzCCMwObH/_ssgManifest.js +++ /dev/null @@ -1 +0,0 @@ -self.__SSG_MANIFEST=new Set([]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB() \ No newline at end of file From 505f6e0522eacbf4e4407b5886890805b3a1fea2 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 15:53:12 -0700 Subject: [PATCH 036/165] [Fix] Apply black formatting to fix CI lint failures --- litellm/integrations/prometheus.py | 13 ++++++++----- litellm/integrations/prometheus_helpers/__init__.py | 3 +-- .../integrations/websearch_interception/handler.py | 4 +++- litellm/litellm_core_utils/llm_cost_calc/utils.py | 2 +- .../messages/agentic_streaming_iterator.py | 8 +++++--- litellm/llms/github_copilot/authenticator.py | 4 +--- litellm/passthrough/utils.py | 4 +++- litellm/proxy/auth/auth_checks.py | 11 +++++------ litellm/proxy/health_check.py | 9 ++++----- litellm/proxy/hooks/parallel_request_limiter_v3.py | 6 +++--- .../management_endpoints/internal_user_endpoints.py | 8 ++------ .../management_endpoints/organization_endpoints.py | 5 +---- .../proxy/management_endpoints/team_endpoints.py | 3 +-- litellm/types/integrations/prometheus.py | 2 +- 14 files changed, 39 insertions(+), 43 deletions(-) diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py index 1d92a9da073..723b142dfad 100644 --- a/litellm/integrations/prometheus.py +++ b/litellm/integrations/prometheus.py @@ -51,6 +51,7 @@ if TYPE_CHECKING: else: AsyncIOScheduler = Any + class PrometheusLogger(CustomLogger): # Class variables or attributes @@ -991,9 +992,7 @@ class PrometheusLogger(CustomLogger): amount: float = 1.0, ) -> None: _labels = prometheus_label_factory( - supported_enum_labels=self.get_labels_for_metric( - metric_name=metric_name - ), + supported_enum_labels=self.get_labels_for_metric(metric_name=metric_name), enum_values=enum_values, label_context=label_context, ) @@ -1118,7 +1117,9 @@ class PrometheusLogger(CustomLogger): user_api_key = hash_token(user_api_key) - label_context = PrometheusLabelFactoryContext(enum_values) #amortized per request. + label_context = PrometheusLabelFactoryContext( + enum_values + ) # amortized per request. # increment total LLM requests and spend metric self._increment_top_level_request_and_spend_metrics( @@ -3490,7 +3491,9 @@ def _prometheus_labels_from_context( } if UserAPIKeyLabelNames.END_USER.value in filtered_labels: - filtered_labels[UserAPIKeyLabelNames.END_USER.value] = ctx.get_resolved_end_user() + filtered_labels[UserAPIKeyLabelNames.END_USER.value] = ( + ctx.get_resolved_end_user() + ) for sk, val in ctx._custom_by_sanitized_key.items(): if sk in supported_enum_labels: diff --git a/litellm/integrations/prometheus_helpers/__init__.py b/litellm/integrations/prometheus_helpers/__init__.py index 34f4855863e..784ab524dd5 100644 --- a/litellm/integrations/prometheus_helpers/__init__.py +++ b/litellm/integrations/prometheus_helpers/__init__.py @@ -51,8 +51,7 @@ class PrometheusLabelFactoryContext: self.enum_values = enum_values enum_dict = enum_values.model_dump() self._sanitized_enum: Dict[str, Optional[str]] = { - k: _sanitize_prometheus_label_value(v) - for k, v in enum_dict.items() + k: _sanitize_prometheus_label_value(v) for k, v in enum_dict.items() } self._custom_by_sanitized_key: Dict[str, Optional[str]] = {} if enum_values.custom_metadata_labels is not None: diff --git a/litellm/integrations/websearch_interception/handler.py b/litellm/integrations/websearch_interception/handler.py index 7b4aa7a3f10..41618c72627 100644 --- a/litellm/integrations/websearch_interception/handler.py +++ b/litellm/integrations/websearch_interception/handler.py @@ -847,7 +847,9 @@ class WebSearchInterceptionLogger(CustomLogger): kwargs_for_followup = self._prepare_followup_kwargs(kwargs) if logging_obj is not None: - agentic_params = logging_obj.model_call_details.get("agentic_loop_params", {}) + agentic_params = logging_obj.model_call_details.get( + "agentic_loop_params", {} + ) full_model_name = agentic_params.get("model", model) verbose_logger.debug( "WebSearchInterception: Built anthropic request patch " diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py index 3fd913958da..888999504fe 100644 --- a/litellm/litellm_core_utils/llm_cost_calc/utils.py +++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py @@ -684,7 +684,7 @@ def generic_cost_per_token( # noqa: PLR0915 - cache_creation - image_tokens ) - # Clamp to zero: inconsistent streaming usage + # Clamp to zero: inconsistent streaming usage if text_tokens < 0: text_tokens = 0 prompt_tokens_details["text_tokens"] = text_tokens diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py b/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py index 1f14886ca8e..d0780c82d06 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py @@ -216,9 +216,11 @@ class AgenticAnthropicStreamingIterator: return [ - f"{b.get('type')}({b.get('name', '')})" - if b.get("type") == "tool_use" - else b.get("type") + ( + f"{b.get('type')}({b.get('name', '')})" + if b.get("type") == "tool_use" + else b.get("type") + ) for b in rebuilt.get("content", []) ] diff --git a/litellm/llms/github_copilot/authenticator.py b/litellm/llms/github_copilot/authenticator.py index f4698861edc..9de2987b9f6 100644 --- a/litellm/llms/github_copilot/authenticator.py +++ b/litellm/llms/github_copilot/authenticator.py @@ -294,9 +294,7 @@ class Authenticator: access_token_url = os.getenv( "GITHUB_COPILOT_ACCESS_TOKEN_URL", DEFAULT_GITHUB_ACCESS_TOKEN_URL ) - client_id = os.getenv( - "GITHUB_COPILOT_CLIENT_ID", DEFAULT_GITHUB_CLIENT_ID - ) + client_id = os.getenv("GITHUB_COPILOT_CLIENT_ID", DEFAULT_GITHUB_CLIENT_ID) for attempt in range(max_attempts): try: diff --git a/litellm/passthrough/utils.py b/litellm/passthrough/utils.py index 5dde13f0078..d39a0dda152 100644 --- a/litellm/passthrough/utils.py +++ b/litellm/passthrough/utils.py @@ -79,7 +79,9 @@ class BasePassthroughUtils: for header_name, header_value in request_headers.items(): if header_name.lower().startswith(PASS_THROUGH_HEADER_PREFIX): # Strip the 'x-pass-' prefix and normalize to lowercase - actual_header_name = header_name[len(PASS_THROUGH_HEADER_PREFIX) :].lower() + actual_header_name = header_name[ + len(PASS_THROUGH_HEADER_PREFIX) : + ].lower() if actual_header_name in _PASS_THROUGH_PROTECTED_HEADERS or any( actual_header_name.startswith(p) for p in _PASS_THROUGH_PROTECTED_HEADER_PREFIXES diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py index d245ec53ece..e19d04a2609 100644 --- a/litellm/proxy/auth/auth_checks.py +++ b/litellm/proxy/auth/auth_checks.py @@ -3126,9 +3126,7 @@ async def _virtual_key_max_budget_alert_check( alert_email_config: Optional[Dict[str, List[str]]] = ( _merge_budget_alert_email_configs( global_cfg=litellm.default_key_max_budget_alert_emails, - per_key_cfg=(valid_token.metadata or {}).get( - "max_budget_alert_emails" - ), + per_key_cfg=(valid_token.metadata or {}).get("max_budget_alert_emails"), ) ) @@ -3138,7 +3136,9 @@ async def _virtual_key_max_budget_alert_check( (int(k) for k in alert_email_config if k.isdigit()), default=None, ) - if min_pct is None or valid_token.spend < valid_token.max_budget * (min_pct / 100.0): + if min_pct is None or valid_token.spend < valid_token.max_budget * ( + min_pct / 100.0 + ): return call_info = CallInfo( @@ -3164,8 +3164,7 @@ async def _virtual_key_max_budget_alert_check( else: # Old path: existing single 80% threshold — completely unchanged alert_threshold = ( - valid_token.max_budget - * EMAIL_BUDGET_ALERT_MAX_SPEND_ALERT_PERCENTAGE + valid_token.max_budget * EMAIL_BUDGET_ALERT_MAX_SPEND_ALERT_PERCENTAGE ) if ( diff --git a/litellm/proxy/health_check.py b/litellm/proxy/health_check.py index e0664703d28..7d67750c78f 100644 --- a/litellm/proxy/health_check.py +++ b/litellm/proxy/health_check.py @@ -306,7 +306,9 @@ def _health_check_deployment_is_wildcard(litellm_params: dict) -> bool: return "*" in _deployment_model_string_for_health_check(litellm_params) -def _resolve_health_check_max_tokens(model_info: dict, litellm_params: dict) -> Optional[int]: +def _resolve_health_check_max_tokens( + model_info: dict, litellm_params: dict +) -> Optional[int]: """ Pick max_tokens for the health check request. @@ -341,10 +343,7 @@ def _resolve_health_check_max_tokens(model_info: dict, litellm_params: dict) -> return int(tokens_reasoning) if not is_reasoning and tokens_non_reasoning is not None: return int(tokens_non_reasoning) - if ( - is_reasoning - and BACKGROUND_HEALTH_CHECK_MAX_TOKENS_REASONING is not None - ): + if is_reasoning and BACKGROUND_HEALTH_CHECK_MAX_TOKENS_REASONING is not None: return int(BACKGROUND_HEALTH_CHECK_MAX_TOKENS_REASONING) if BACKGROUND_HEALTH_CHECK_MAX_TOKENS is not None: diff --git a/litellm/proxy/hooks/parallel_request_limiter_v3.py b/litellm/proxy/hooks/parallel_request_limiter_v3.py index 5c2b3dfe0ee..f29bbd2d9d5 100644 --- a/litellm/proxy/hooks/parallel_request_limiter_v3.py +++ b/litellm/proxy/hooks/parallel_request_limiter_v3.py @@ -1570,9 +1570,9 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger): user_api_key_project_id = standard_logging_metadata.get( "user_api_key_project_id" ) - user_api_key_end_user_id = kwargs.get( - "user" - ) or standard_logging_metadata.get("user_api_key_end_user_id") + user_api_key_end_user_id = kwargs.get("user") or standard_logging_metadata.get( + "user_api_key_end_user_id" + ) model_group = get_model_group_from_litellm_kwargs(kwargs) # Get total tokens from response diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py index 8474f026111..c6d37ace4fe 100644 --- a/litellm/proxy/management_endpoints/internal_user_endpoints.py +++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py @@ -2120,9 +2120,7 @@ async def delete_user( for m in all_target_memberships: if not m.organization_id: continue - target_org_ids_by_user.setdefault(m.user_id, set()).add( - m.organization_id - ) + target_org_ids_by_user.setdefault(m.user_id, set()).add(m.organization_id) # check that all teams passed exist for user_id in data.user_ids: @@ -2141,9 +2139,7 @@ async def delete_user( # Org-admin may only delete users whose entire org membership is # within their admin scope. A target with ANY org outside the # caller's scope (or no org at all) requires PROXY_ADMIN. - if not target_org_ids or not target_org_ids.issubset( - caller_admin_org_ids - ): + if not target_org_ids or not target_org_ids.issubset(caller_admin_org_ids): raise HTTPException( status_code=403, detail={ diff --git a/litellm/proxy/management_endpoints/organization_endpoints.py b/litellm/proxy/management_endpoints/organization_endpoints.py index a6a1af971e5..442fae2a4fa 100644 --- a/litellm/proxy/management_endpoints/organization_endpoints.py +++ b/litellm/proxy/management_endpoints/organization_endpoints.py @@ -1078,10 +1078,7 @@ async def organization_member_update( LitellmUserRoles.PROXY_ADMIN.value, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value, ): - if ( - user_api_key_dict.user_role - != LitellmUserRoles.PROXY_ADMIN.value - ): + if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN.value: raise HTTPException( status_code=403, detail={ diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index 8e21b851857..e4886eb6d15 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -1570,8 +1570,7 @@ async def update_team( # noqa: PLR0915 current_org_id = getattr(existing_team_row, "organization_id", None) if ( data.organization_id != current_org_id - and user_api_key_dict.user_role - != LitellmUserRoles.PROXY_ADMIN.value + and user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN.value ): # Is the caller org_admin of the destination org? caller_memberships = ( diff --git a/litellm/types/integrations/prometheus.py b/litellm/types/integrations/prometheus.py index 338c5a79ce6..43a287f29bc 100644 --- a/litellm/types/integrations/prometheus.py +++ b/litellm/types/integrations/prometheus.py @@ -784,7 +784,7 @@ class UserAPIKeyLabelValues: org_id: Optional[str] = None org_alias: Optional[str] = None - #Added for test compatibility. + # Added for test compatibility. def __init__(self, **kwargs: Any) -> None: """ Match former Pydantic behavior: unknown keys are ignored; ``api_key_hash`` maps to From d05335591a58c2f170466d608bf3cd0071dbe2dd Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 16:02:21 -0700 Subject: [PATCH 037/165] style: apply black formatting Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/integrations/prometheus.py | 13 ++++++++----- litellm/integrations/prometheus_helpers/__init__.py | 3 +-- .../integrations/websearch_interception/handler.py | 4 +++- litellm/litellm_core_utils/llm_cost_calc/utils.py | 2 +- .../messages/agentic_streaming_iterator.py | 8 +++++--- litellm/llms/github_copilot/authenticator.py | 4 +--- litellm/passthrough/utils.py | 4 +++- litellm/proxy/auth/auth_checks.py | 11 +++++------ .../adaptive_router_update_queue.py | 4 +++- litellm/proxy/health_check.py | 9 ++++----- litellm/proxy/hooks/parallel_request_limiter_v3.py | 6 +++--- .../management_endpoints/internal_user_endpoints.py | 8 ++------ .../management_endpoints/organization_endpoints.py | 5 +---- .../proxy/management_endpoints/team_endpoints.py | 3 +-- litellm/router_strategy/adaptive_router/hooks.py | 4 +++- litellm/types/integrations/prometheus.py | 2 +- 16 files changed, 45 insertions(+), 45 deletions(-) diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py index 1d92a9da073..723b142dfad 100644 --- a/litellm/integrations/prometheus.py +++ b/litellm/integrations/prometheus.py @@ -51,6 +51,7 @@ if TYPE_CHECKING: else: AsyncIOScheduler = Any + class PrometheusLogger(CustomLogger): # Class variables or attributes @@ -991,9 +992,7 @@ class PrometheusLogger(CustomLogger): amount: float = 1.0, ) -> None: _labels = prometheus_label_factory( - supported_enum_labels=self.get_labels_for_metric( - metric_name=metric_name - ), + supported_enum_labels=self.get_labels_for_metric(metric_name=metric_name), enum_values=enum_values, label_context=label_context, ) @@ -1118,7 +1117,9 @@ class PrometheusLogger(CustomLogger): user_api_key = hash_token(user_api_key) - label_context = PrometheusLabelFactoryContext(enum_values) #amortized per request. + label_context = PrometheusLabelFactoryContext( + enum_values + ) # amortized per request. # increment total LLM requests and spend metric self._increment_top_level_request_and_spend_metrics( @@ -3490,7 +3491,9 @@ def _prometheus_labels_from_context( } if UserAPIKeyLabelNames.END_USER.value in filtered_labels: - filtered_labels[UserAPIKeyLabelNames.END_USER.value] = ctx.get_resolved_end_user() + filtered_labels[UserAPIKeyLabelNames.END_USER.value] = ( + ctx.get_resolved_end_user() + ) for sk, val in ctx._custom_by_sanitized_key.items(): if sk in supported_enum_labels: diff --git a/litellm/integrations/prometheus_helpers/__init__.py b/litellm/integrations/prometheus_helpers/__init__.py index 34f4855863e..784ab524dd5 100644 --- a/litellm/integrations/prometheus_helpers/__init__.py +++ b/litellm/integrations/prometheus_helpers/__init__.py @@ -51,8 +51,7 @@ class PrometheusLabelFactoryContext: self.enum_values = enum_values enum_dict = enum_values.model_dump() self._sanitized_enum: Dict[str, Optional[str]] = { - k: _sanitize_prometheus_label_value(v) - for k, v in enum_dict.items() + k: _sanitize_prometheus_label_value(v) for k, v in enum_dict.items() } self._custom_by_sanitized_key: Dict[str, Optional[str]] = {} if enum_values.custom_metadata_labels is not None: diff --git a/litellm/integrations/websearch_interception/handler.py b/litellm/integrations/websearch_interception/handler.py index 7b4aa7a3f10..41618c72627 100644 --- a/litellm/integrations/websearch_interception/handler.py +++ b/litellm/integrations/websearch_interception/handler.py @@ -847,7 +847,9 @@ class WebSearchInterceptionLogger(CustomLogger): kwargs_for_followup = self._prepare_followup_kwargs(kwargs) if logging_obj is not None: - agentic_params = logging_obj.model_call_details.get("agentic_loop_params", {}) + agentic_params = logging_obj.model_call_details.get( + "agentic_loop_params", {} + ) full_model_name = agentic_params.get("model", model) verbose_logger.debug( "WebSearchInterception: Built anthropic request patch " diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py index 3fd913958da..888999504fe 100644 --- a/litellm/litellm_core_utils/llm_cost_calc/utils.py +++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py @@ -684,7 +684,7 @@ def generic_cost_per_token( # noqa: PLR0915 - cache_creation - image_tokens ) - # Clamp to zero: inconsistent streaming usage + # Clamp to zero: inconsistent streaming usage if text_tokens < 0: text_tokens = 0 prompt_tokens_details["text_tokens"] = text_tokens diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py b/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py index 1f14886ca8e..d0780c82d06 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/agentic_streaming_iterator.py @@ -216,9 +216,11 @@ class AgenticAnthropicStreamingIterator: return [ - f"{b.get('type')}({b.get('name', '')})" - if b.get("type") == "tool_use" - else b.get("type") + ( + f"{b.get('type')}({b.get('name', '')})" + if b.get("type") == "tool_use" + else b.get("type") + ) for b in rebuilt.get("content", []) ] diff --git a/litellm/llms/github_copilot/authenticator.py b/litellm/llms/github_copilot/authenticator.py index f4698861edc..9de2987b9f6 100644 --- a/litellm/llms/github_copilot/authenticator.py +++ b/litellm/llms/github_copilot/authenticator.py @@ -294,9 +294,7 @@ class Authenticator: access_token_url = os.getenv( "GITHUB_COPILOT_ACCESS_TOKEN_URL", DEFAULT_GITHUB_ACCESS_TOKEN_URL ) - client_id = os.getenv( - "GITHUB_COPILOT_CLIENT_ID", DEFAULT_GITHUB_CLIENT_ID - ) + client_id = os.getenv("GITHUB_COPILOT_CLIENT_ID", DEFAULT_GITHUB_CLIENT_ID) for attempt in range(max_attempts): try: diff --git a/litellm/passthrough/utils.py b/litellm/passthrough/utils.py index 5dde13f0078..d39a0dda152 100644 --- a/litellm/passthrough/utils.py +++ b/litellm/passthrough/utils.py @@ -79,7 +79,9 @@ class BasePassthroughUtils: for header_name, header_value in request_headers.items(): if header_name.lower().startswith(PASS_THROUGH_HEADER_PREFIX): # Strip the 'x-pass-' prefix and normalize to lowercase - actual_header_name = header_name[len(PASS_THROUGH_HEADER_PREFIX) :].lower() + actual_header_name = header_name[ + len(PASS_THROUGH_HEADER_PREFIX) : + ].lower() if actual_header_name in _PASS_THROUGH_PROTECTED_HEADERS or any( actual_header_name.startswith(p) for p in _PASS_THROUGH_PROTECTED_HEADER_PREFIXES diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py index d245ec53ece..e19d04a2609 100644 --- a/litellm/proxy/auth/auth_checks.py +++ b/litellm/proxy/auth/auth_checks.py @@ -3126,9 +3126,7 @@ async def _virtual_key_max_budget_alert_check( alert_email_config: Optional[Dict[str, List[str]]] = ( _merge_budget_alert_email_configs( global_cfg=litellm.default_key_max_budget_alert_emails, - per_key_cfg=(valid_token.metadata or {}).get( - "max_budget_alert_emails" - ), + per_key_cfg=(valid_token.metadata or {}).get("max_budget_alert_emails"), ) ) @@ -3138,7 +3136,9 @@ async def _virtual_key_max_budget_alert_check( (int(k) for k in alert_email_config if k.isdigit()), default=None, ) - if min_pct is None or valid_token.spend < valid_token.max_budget * (min_pct / 100.0): + if min_pct is None or valid_token.spend < valid_token.max_budget * ( + min_pct / 100.0 + ): return call_info = CallInfo( @@ -3164,8 +3164,7 @@ async def _virtual_key_max_budget_alert_check( else: # Old path: existing single 80% threshold — completely unchanged alert_threshold = ( - valid_token.max_budget - * EMAIL_BUDGET_ALERT_MAX_SPEND_ALERT_PERCENTAGE + valid_token.max_budget * EMAIL_BUDGET_ALERT_MAX_SPEND_ALERT_PERCENTAGE ) if ( diff --git a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py b/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py index d1e275a076d..7f5d9f78541 100644 --- a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py +++ b/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py @@ -132,7 +132,9 @@ class AdaptiveRouterUpdateQueue: "update": { "alpha": {"increment": payload["delta_alpha"]}, "beta": {"increment": payload["delta_beta"]}, - "total_samples": {"increment": int(payload["samples_added"])}, + "total_samples": { + "increment": int(payload["samples_added"]) + }, }, }, ) diff --git a/litellm/proxy/health_check.py b/litellm/proxy/health_check.py index e0664703d28..7d67750c78f 100644 --- a/litellm/proxy/health_check.py +++ b/litellm/proxy/health_check.py @@ -306,7 +306,9 @@ def _health_check_deployment_is_wildcard(litellm_params: dict) -> bool: return "*" in _deployment_model_string_for_health_check(litellm_params) -def _resolve_health_check_max_tokens(model_info: dict, litellm_params: dict) -> Optional[int]: +def _resolve_health_check_max_tokens( + model_info: dict, litellm_params: dict +) -> Optional[int]: """ Pick max_tokens for the health check request. @@ -341,10 +343,7 @@ def _resolve_health_check_max_tokens(model_info: dict, litellm_params: dict) -> return int(tokens_reasoning) if not is_reasoning and tokens_non_reasoning is not None: return int(tokens_non_reasoning) - if ( - is_reasoning - and BACKGROUND_HEALTH_CHECK_MAX_TOKENS_REASONING is not None - ): + if is_reasoning and BACKGROUND_HEALTH_CHECK_MAX_TOKENS_REASONING is not None: return int(BACKGROUND_HEALTH_CHECK_MAX_TOKENS_REASONING) if BACKGROUND_HEALTH_CHECK_MAX_TOKENS is not None: diff --git a/litellm/proxy/hooks/parallel_request_limiter_v3.py b/litellm/proxy/hooks/parallel_request_limiter_v3.py index 5c2b3dfe0ee..f29bbd2d9d5 100644 --- a/litellm/proxy/hooks/parallel_request_limiter_v3.py +++ b/litellm/proxy/hooks/parallel_request_limiter_v3.py @@ -1570,9 +1570,9 @@ class _PROXY_MaxParallelRequestsHandler_v3(CustomLogger): user_api_key_project_id = standard_logging_metadata.get( "user_api_key_project_id" ) - user_api_key_end_user_id = kwargs.get( - "user" - ) or standard_logging_metadata.get("user_api_key_end_user_id") + user_api_key_end_user_id = kwargs.get("user") or standard_logging_metadata.get( + "user_api_key_end_user_id" + ) model_group = get_model_group_from_litellm_kwargs(kwargs) # Get total tokens from response diff --git a/litellm/proxy/management_endpoints/internal_user_endpoints.py b/litellm/proxy/management_endpoints/internal_user_endpoints.py index 8474f026111..c6d37ace4fe 100644 --- a/litellm/proxy/management_endpoints/internal_user_endpoints.py +++ b/litellm/proxy/management_endpoints/internal_user_endpoints.py @@ -2120,9 +2120,7 @@ async def delete_user( for m in all_target_memberships: if not m.organization_id: continue - target_org_ids_by_user.setdefault(m.user_id, set()).add( - m.organization_id - ) + target_org_ids_by_user.setdefault(m.user_id, set()).add(m.organization_id) # check that all teams passed exist for user_id in data.user_ids: @@ -2141,9 +2139,7 @@ async def delete_user( # Org-admin may only delete users whose entire org membership is # within their admin scope. A target with ANY org outside the # caller's scope (or no org at all) requires PROXY_ADMIN. - if not target_org_ids or not target_org_ids.issubset( - caller_admin_org_ids - ): + if not target_org_ids or not target_org_ids.issubset(caller_admin_org_ids): raise HTTPException( status_code=403, detail={ diff --git a/litellm/proxy/management_endpoints/organization_endpoints.py b/litellm/proxy/management_endpoints/organization_endpoints.py index a6a1af971e5..442fae2a4fa 100644 --- a/litellm/proxy/management_endpoints/organization_endpoints.py +++ b/litellm/proxy/management_endpoints/organization_endpoints.py @@ -1078,10 +1078,7 @@ async def organization_member_update( LitellmUserRoles.PROXY_ADMIN.value, LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY.value, ): - if ( - user_api_key_dict.user_role - != LitellmUserRoles.PROXY_ADMIN.value - ): + if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN.value: raise HTTPException( status_code=403, detail={ diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index 8e21b851857..e4886eb6d15 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -1570,8 +1570,7 @@ async def update_team( # noqa: PLR0915 current_org_id = getattr(existing_team_row, "organization_id", None) if ( data.organization_id != current_org_id - and user_api_key_dict.user_role - != LitellmUserRoles.PROXY_ADMIN.value + and user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN.value ): # Is the caller org_admin of the destination org? caller_memberships = ( diff --git a/litellm/router_strategy/adaptive_router/hooks.py b/litellm/router_strategy/adaptive_router/hooks.py index 880c262f5d8..9e346006ac1 100644 --- a/litellm/router_strategy/adaptive_router/hooks.py +++ b/litellm/router_strategy/adaptive_router/hooks.py @@ -102,7 +102,9 @@ def _last_user_content(messages: Optional[List[Dict[str, Any]]]) -> Optional[str return None -def _recent_tool_results(messages: Optional[List[Dict[str, Any]]]) -> List[Dict[str, Any]]: +def _recent_tool_results( + messages: Optional[List[Dict[str, Any]]] +) -> List[Dict[str, Any]]: """Extract the current turn's tool result payloads from the request messages. Tool results are `role == "tool"` messages that sit at the tail of the diff --git a/litellm/types/integrations/prometheus.py b/litellm/types/integrations/prometheus.py index 338c5a79ce6..43a287f29bc 100644 --- a/litellm/types/integrations/prometheus.py +++ b/litellm/types/integrations/prometheus.py @@ -784,7 +784,7 @@ class UserAPIKeyLabelValues: org_id: Optional[str] = None org_alias: Optional[str] = None - #Added for test compatibility. + # Added for test compatibility. def __init__(self, **kwargs: Any) -> None: """ Match former Pydantic behavior: unknown keys are ignored; ``api_key_hash`` maps to From e99955ac5222633b3207cd8f8c96e15442887fe1 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 16:03:32 -0700 Subject: [PATCH 038/165] test(adaptive_router/hooks): align stale tests with current hook API Six tests in test_hooks.py were written against an older API and had been failing in CI. Updated: - test_resolve_session_key_* (4 tests): _resolve_session_key now requires at least SIGNAL_GATE_MIN_MESSAGES messages before deriving a hash (it returns None on shorter convos to match the signal-processing gate). Switched the tests to use _long_messages() so they hit the hash path. - test_post_call_success_hook_* (2 tests): the hook was migrated from async_post_call_success_hook (mutates response._hidden_params) to async_post_call_response_headers_hook (returns a headers dict) because the former fires too late for streaming responses. Rewrote the tests against the new API; added a metadata-not-dict noop case. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../adaptive_router/test_hooks.py | 91 ++++++------------- 1 file changed, 28 insertions(+), 63 deletions(-) diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py b/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py index 6cd807f52a2..a2b85f2ce53 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_hooks.py @@ -90,7 +90,10 @@ def test_resolve_session_key_returns_none_when_no_messages(): def test_resolve_session_key_derives_stable_hash_from_first_message(): - msgs = [{"role": "user", "content": "Hello, world"}] + # `_resolve_session_key` requires at least SIGNAL_GATE_MIN_MESSAGES + # messages before it will derive a hash (matches the signal-processing + # gate) — otherwise the session is too short to attribute. + msgs = _long_messages("Hello, world") k1 = _resolve_session_key({"messages": msgs}) k2 = _resolve_session_key({"messages": list(msgs)}) assert k1 == k2 @@ -98,13 +101,13 @@ def test_resolve_session_key_derives_stable_hash_from_first_message(): def test_resolve_session_key_does_not_prefix_sk(): - key = _resolve_session_key({"messages": [{"role": "user", "content": "hi"}]}) + key = _resolve_session_key({"messages": _long_messages()}) assert key and not key.startswith("sk_") def test_resolve_session_key_segments_by_identity_fields(): """Same first message but different api keys must yield different keys.""" - msgs = [{"role": "user", "content": "same prompt"}] + msgs = _long_messages("same prompt") k_team_a = _resolve_session_key( { "messages": msgs, @@ -131,8 +134,8 @@ def test_resolve_session_key_segments_by_identity_fields(): def test_resolve_session_key_changes_when_first_message_changes(): - k1 = _resolve_session_key({"messages": [{"role": "user", "content": "alpha"}]}) - k2 = _resolve_session_key({"messages": [{"role": "user", "content": "beta"}]}) + k1 = _resolve_session_key({"messages": _long_messages("alpha")}) + k2 = _resolve_session_key({"messages": _long_messages("beta")}) assert k1 != k2 @@ -319,85 +322,47 @@ async def test_hook_failure_event_uses_status_code_from_exception(): @pytest.mark.asyncio -async def test_post_call_success_hook_sets_response_header(): +async def test_post_call_response_headers_hook_returns_chosen_model_header(): + """The header hook returns the `x-litellm-adaptive-router-model` header + so proxy header construction picks it up (works for both streaming and + non-streaming; `async_post_call_success_hook` is too late for streaming).""" hook = _make_hook() - response = MagicMock() - response._hidden_params = {} - - await hook.async_post_call_success_hook( + headers = await hook.async_post_call_response_headers_hook( data={"metadata": {"adaptive_router_chosen_model": "smart"}}, user_api_key_dict=MagicMock(), - response=response, - ) - - assert ( - response._hidden_params["additional_headers"]["x-litellm-adaptive-router-model"] - == "smart" + response=MagicMock(), ) + assert headers == {"x-litellm-adaptive-router-model": "smart"} @pytest.mark.asyncio -async def test_post_call_success_hook_preserves_existing_additional_headers(): +async def test_post_call_response_headers_hook_noop_when_metadata_missing_key(): hook = _make_hook() - response = MagicMock() - response._hidden_params = {"additional_headers": {"x-existing": "keep-me"}} - - await hook.async_post_call_success_hook( - data={"metadata": {"adaptive_router_chosen_model": "fast"}}, - user_api_key_dict=MagicMock(), - response=response, - ) - - assert response._hidden_params["additional_headers"]["x-existing"] == "keep-me" - assert ( - response._hidden_params["additional_headers"]["x-litellm-adaptive-router-model"] - == "fast" - ) - - -@pytest.mark.asyncio -async def test_post_call_success_hook_noop_when_metadata_missing_key(): - hook = _make_hook() - response = MagicMock() - response._hidden_params = {} - - await hook.async_post_call_success_hook( + headers = await hook.async_post_call_response_headers_hook( data={"metadata": {"litellm_session_id": "sess-A"}}, user_api_key_dict=MagicMock(), - response=response, + response=MagicMock(), ) - - assert response._hidden_params == {} + assert headers is None @pytest.mark.asyncio -async def test_post_call_success_hook_noop_when_no_metadata(): +async def test_post_call_response_headers_hook_noop_when_no_metadata(): hook = _make_hook() - response = MagicMock() - response._hidden_params = {} - - await hook.async_post_call_success_hook( + headers = await hook.async_post_call_response_headers_hook( data={}, user_api_key_dict=MagicMock(), - response=response, + response=MagicMock(), ) - - assert response._hidden_params == {} + assert headers is None @pytest.mark.asyncio -async def test_post_call_success_hook_noop_when_hidden_params_not_dict(): +async def test_post_call_response_headers_hook_noop_when_metadata_not_dict(): hook = _make_hook() - - class _NoHiddenParams: - pass - - response = _NoHiddenParams() - - await hook.async_post_call_success_hook( - data={"metadata": {"adaptive_router_chosen_model": "smart"}}, + headers = await hook.async_post_call_response_headers_hook( + data={"metadata": "not-a-dict"}, user_api_key_dict=MagicMock(), - response=response, + response=MagicMock(), ) - - assert not hasattr(response, "_hidden_params") + assert headers is None From 74169b114a2053a1db96bc42f6e789341dd2da07 Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Mon, 20 Apr 2026 16:04:54 -0700 Subject: [PATCH 039/165] replace retired claude-3-haiku-20240307 with claude-haiku-4-5-20251001 in streaming tests --- tests/local_testing/test_streaming.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/local_testing/test_streaming.py b/tests/local_testing/test_streaming.py index 3aed0699603..ecac2cfe40e 100644 --- a/tests/local_testing/test_streaming.py +++ b/tests/local_testing/test_streaming.py @@ -1727,7 +1727,7 @@ def test_openai_chat_completion_complete_response_call(): "model", [ "gpt-3.5-turbo", - "claude-3-haiku-20240307", + "claude-haiku-4-5-20251001", "o1", ], ) @@ -2247,7 +2247,7 @@ def streaming_and_function_calling_format_tests(idx, chunk): [ # "gpt-3.5-turbo", # "anthropic.claude-3-sonnet-20240229-v1:0", - "claude-3-haiku-20240307", + "claude-haiku-4-5-20251001", ], ) def test_streaming_and_function_calling(model): From eee51a99ad922a047f2e7fb379d3894a3d173248 Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Mon, 20 Apr 2026 16:10:45 -0700 Subject: [PATCH 040/165] replace retired claude-3-haiku-20240307 with claude-haiku-4-5-20251001 in local_testing part1 and router fallback tests --- tests/local_testing/test_batch_completions.py | 2 +- tests/local_testing/test_function_call_parsing.py | 2 +- tests/local_testing/test_function_calling.py | 4 ++-- tests/local_testing/test_router_fallbacks.py | 4 ++-- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/local_testing/test_batch_completions.py b/tests/local_testing/test_batch_completions.py index 2125a998f84..95bfe5e6e2b 100644 --- a/tests/local_testing/test_batch_completions.py +++ b/tests/local_testing/test_batch_completions.py @@ -72,7 +72,7 @@ def test_batch_completions_models(): def test_batch_completion_models_all_responses(): try: responses = batch_completion_models_all_responses( - models=["gemini/gemini-2.5-flash-lite", "claude-3-haiku-20240307"], + models=["gemini/gemini-2.5-flash-lite", "claude-haiku-4-5-20251001"], messages=[{"role": "user", "content": "write a poem"}], max_tokens=10, ) diff --git a/tests/local_testing/test_function_call_parsing.py b/tests/local_testing/test_function_call_parsing.py index 0351ce70572..f9582fcc574 100644 --- a/tests/local_testing/test_function_call_parsing.py +++ b/tests/local_testing/test_function_call_parsing.py @@ -142,7 +142,7 @@ def trade(model_name: str) -> List[Trade]: # type: ignore @pytest.mark.parametrize( - "model", ["claude-3-haiku-20240307", "anthropic.claude-3-haiku-20240307-v1:0"] + "model", ["claude-haiku-4-5-20251001", "anthropic.claude-3-haiku-20240307-v1:0"] ) @pytest.mark.flaky(retries=6, delay=10) def test_function_call_parsing(model): diff --git a/tests/local_testing/test_function_calling.py b/tests/local_testing/test_function_calling.py index 13adb163d5f..b52805c0664 100644 --- a/tests/local_testing/test_function_calling.py +++ b/tests/local_testing/test_function_calling.py @@ -47,7 +47,7 @@ def get_current_weather(location, unit="fahrenheit"): [ "gpt-3.5-turbo-1106", "mistral/mistral-large-latest", - "claude-3-haiku-20240307", + "claude-haiku-4-5-20251001", "gemini/gemini-2.5-flash-lite", "anthropic.claude-3-sonnet-20240229-v1:0", ], @@ -275,7 +275,7 @@ from litellm.types.utils import ChatCompletionMessageToolCall, Function, Message "anthropic.claude-3-sonnet-20240229-v1:0", "bedrock", ), - ("claude-3-haiku-20240307", "anthropic"), + ("claude-haiku-4-5-20251001", "anthropic"), ], ) @pytest.mark.parametrize( diff --git a/tests/local_testing/test_router_fallbacks.py b/tests/local_testing/test_router_fallbacks.py index 383ad104577..a14e53adbc4 100644 --- a/tests/local_testing/test_router_fallbacks.py +++ b/tests/local_testing/test_router_fallbacks.py @@ -1509,7 +1509,7 @@ def test_router_fallbacks_with_wildcard_model_name(): { "model_name": "claude-3-haiku", "litellm_params": { - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "api_key": os.getenv("ANTHROPIC_API_KEY"), "mock_response": "Hi this is claude!", }, @@ -1555,7 +1555,7 @@ def test_fallbacks_with_different_messages(): { "model_name": "claude-3-haiku", "litellm_params": { - "model": "claude-3-haiku-20240307", + "model": "claude-haiku-4-5-20251001", "api_key": os.getenv("ANTHROPIC_API_KEY"), }, }, From bb6209932312e4e7438f5133fb09fc8989f5bd82 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 16:22:10 -0700 Subject: [PATCH 041/165] [Fix] CI - auth_ui_unit_tests: use Postgres sidecar instead of shared DB Run auth_ui_unit_tests against a per-job cimg/postgres:16.0 sidecar with DATABASE_URL pointing at localhost:5432, matching the pattern used by e2e_ui_testing. Seed the schema via 'litellm --skip_server_startup --use_prisma_db_push' so each run starts on a clean DB with the current schema.prisma. --- .circleci/config.yml | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 3d1e22eebd3..9b976462b13 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -439,7 +439,14 @@ jobs: auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} + - image: cimg/postgres:16.0 + environment: + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres + POSTGRES_DB: litellm_test working_directory: ~/project + environment: + DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/litellm_test" steps: - checkout @@ -463,12 +470,14 @@ jobs: paths: - ./.venv key: v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - wait_for_service: + url: tcp://localhost:5432 + timeout: "60" - run: - name: Run prisma ./docker/entrypoint.sh + name: Seed DB schema via prisma db push command: | set +e - chmod +x docker/entrypoint.sh - ./docker/entrypoint.sh + uv run --no-sync litellm --skip_server_startup --use_prisma_db_push set -e - run: name: Generate Prisma Client From e7bc316db01b0fb1695b381aff110fea435b4aab Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 16:22:12 -0700 Subject: [PATCH 042/165] Litellm krrish staging 04 20 2026 (#26138) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * feat(router): add auto_router/quality_router for quality-tier routing (#25987) * feat(router): add auto_router/quality_router for quality-tier routing Adds a new auto-router type that routes a request to a model at a target quality tier. The quality tier is inferred by re-using the existing ComplexityRouter's classification, then mapped through an admin-configured complexity_to_quality table. Each candidate model declares its own quality_tier in model_info.litellm_routing_preferences. Resolution strategy: exact tier match, else round up to the next higher tier, else fall back to default_model. Co-Authored-By: Claude Opus 4 (1M context) * feat(quality_router): add capability-based filtering Each deployment can declare a `capabilities: List[str]` field in `model_info.litellm_routing_preferences` (e.g. ["vision", "function_calling"]). Requests can pass `litellm_capabilities` in `request_kwargs` to require specific capabilities — the router will only route to deployments whose declared capabilities are a superset. Resolution still walks tier (exact → round up), but at each tier filters by capability before picking. Falls back to default_model only when it also satisfies the required capabilities; otherwise raises rather than silently routing to a model that lacks a required capability. Co-Authored-By: Claude Opus 4 (1M context) * feat(quality_router): expose routing decision in response headers For transparency, expose the QualityRouter's routing decision in the proxy response headers: x-litellm-quality-router-model → picked model_name (e.g. "haiku-vision") x-litellm-quality-router-tier → resolved quality tier (e.g. "1") x-litellm-quality-router-complexity → ComplexityTier name (e.g. "SIMPLE") Mechanism: the pre-routing hook stashes the decision in request_kwargs["metadata"]["quality_router_decision"]. After the call returns, Router.set_response_headers lifts the decision into response._hidden_params["additional_headers"] alongside the existing x-litellm-model-group / x-litellm-model-id headers. Existing metadata keys (trace_id, user_id, etc.) are preserved. Co-Authored-By: Claude Opus 4 (1M context) * feat(quality_router): replace capabilities with keyword override Drops the capability-based filtering in favor of a keyword-based override for v0: - RoutingPreferences.keywords: List[str] (replaces capabilities) — each deployment can declare substring keywords. - If any declared keyword (case-insensitive) appears in the user message, the router short-circuits the complexity-classification flow and routes to the matching deployment. - Tiebreaker for overlapping keyword matches: quality_tier DESC, then cheapest model_info.input_cost_per_token ASC. Unpriced models lose ties to priced ones. Decision metadata + headers now expose the override: x-litellm-quality-router-via → "keyword" | "quality_tier" x-litellm-quality-router-keyword → matched keyword (only on keyword route) x-litellm-quality-router-complexity → complexity tier (only on tier route) Removes: - request_kwargs["litellm_capabilities"] reading - _model_capabilities, _model_supports_capabilities, _first_capable_model_at_tier, capability filter in _resolve_model_for_quality_tier Co-Authored-By: Claude Opus 4 (1M context) * feat(quality_router): add explicit `order` to RoutingPreferences Adds an explicit priority field to RoutingPreferences for resolving collisions deterministically: RoutingPreferences.order: Optional[int] # lower wins; unset = +inf Used as the PRIMARY tiebreaker in two places: 1. Keyword overlap: when multiple deployments declare the same matching keyword, sort by (order ASC, quality_tier DESC, input_cost_per_token ASC, model_name ASC). Explicit always beats implicit. 2. Tier resolution: when multiple deployments share a quality tier, `_resolve_model_for_quality_tier` picks the one with the lowest order. The tier list is now sorted at index-build time. This lets admins make routing decisions explicit when the natural quality-and-price ordering would pick the wrong model. Co-Authored-By: Claude Opus 4 (1M context) * feat(quality_router): reorder tiebreak to (quality, order, price) Changes the tiebreak ordering so quality_tier always wins first, then explicit `order` is used to break ties within the same tier, then price breaks the rest: 1. quality_tier DESC ← best model wins first 2. order ASC ← explicit priority within a tier 3. input_cost_per_token ASC 4. model_name ASC Previously `order` was the primary key — that meant a tier-2 model with `order=1` would beat a tier-3 model with no `order`, which is the wrong default. Now `order` only resolves collisions among same-tier candidates. Tier resolution (within a single tier) keeps the same key minus quality: (order ASC, cost ASC, name). Test renames + flips: - test_explicit_order_overrides_quality_tier → test_quality_wins_over_explicit_order - new: test_order_breaks_tie_within_same_quality_tier Co-Authored-By: Claude Opus 4 (1M context) * fix(quality_router): resolve Greptile review feedback Addresses four P1 findings from PR review plus test coverage: 1. set_model_list missing quality_routers reset - Hot-reloading the Router would leave stale QualityRouter instances pointing at the old model_list. `set_model_list` now clears `self.quality_routers` alongside the other indices. 2. Round-down fallback before default_model - `_resolve_model_for_quality_tier` now rounds DOWN to the closest lower tier after round-up fails, before falling back to `default_model`. Degrades gracefully rather than jumping straight off-tier. 3. RoutingPreferences validation bypass - `_build_tier_index` now instantiates `RoutingPreferences(**prefs)` so invalid shapes (e.g. non-int quality_tier) raise a clear ValueError instead of silently succeeding. 4. Config-ordering dependency - `_tier_to_models` is now built lazily on first access. Previously, eager construction in `__init__` meant a QualityRouter deployment had to appear AFTER all its referenced models in config.yaml, because `Router._create_deployment` populates `model_list` incrementally. Any `available_models` defined after the router entry would silently be reported as missing. Also adds 6 new tests covering each fix: - test_invalid_quality_tier_type_raises_clear_error - test_router_can_be_instantiated_before_its_targets_exist - test_set_model_list_clears_quality_routers_registry - test_rounds_down_when_no_higher_tier_exists - test_rounds_down_prefers_closest_lower_tier - test_prefers_round_up_over_round_down Co-Authored-By: Claude Opus 4 (1M context) * style: apply black 24.10.0 formatting to pre-existing offenders Unblocks the LiteLLM Linting check for this PR — these 12 files are already failing `black --check` on main (the lint workflow only runs on PRs, so main drifts). No behavior changes; formatting-only. Co-Authored-By: Claude Opus 4.7 (1M context) * Update litellm/router.py Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> --------- Co-authored-by: Claude Opus 4 (1M context) Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * Support /v1/responses in complexity router (#26137) * feat(proxy): add --reload flag for uvicorn hot reload (dev only) Opt-in CLI flag, off by default, no env var. Only affects the uvicorn run path; gunicorn/hypercorn paths and prod (which doesn't pass the flag) are unaffected. * Feature/add audio support for scaleway (#26110) * feat(scaleway): add SCALEWAY to LlmProviders enum * feat(scaleway): add audio transcription config and dispatch wiring Co-Authored-By: Claude Sonnet 4.6 * test(scaleway): add behavior tests for audio transcription config Co-Authored-By: Claude Sonnet 4.6 * chore(scaleway): advertise audio_transcriptions in endpoint-support JSON * docs(scaleway): document audio transcription support * fix(scaleway): address PR review — plain-text response_format + missing-key fail-fast Co-Authored-By: Claude Sonnet 4.6 * test(scaleway): cover new response paths, drop gettysburg.wav coupling Co-Authored-By: Claude Sonnet 4.6 --------- Co-authored-by: Claude Sonnet 4.6 * Prompt Compression - add it to the proxy (#25729) * refactor: new agentic loop event hook simplifies how to create logic for tool based multi llm calls * fix: compress - make it work on anthropic input as well * fix(compress.py): working prompt compression for claude code ensures claude code messages can run through proxy easily * docs: add agentic loop hook guide * docs: add agentic_loop_hook to sidebar * fix: fix multiple arguments error * fix: fix tool call loop for compression on streaming /v1/messages * fix: fix linting errors * fix: fix ci/cd errors * feat(litellm_pre_call_utils.py): use claude code session for litellm session id allows claude code logs to be stitched together, making it easy to know they were all part of the same conversation * fix: suppress incorrect mypy warning rE: module * revert: drop PR's changes to litellm/proxy/_experimental/out/ Restores the 34 HTML files under _experimental/out/ to their pre-PR paths (X/index.html -> X.html). All renames are R100 (content unchanged); no other files are touched. * fix: address greptile review comments on PR #25729 - Skip ``kwargs["tools"] = []`` injection when compression is a no-op — Anthropic Messages rejects empty tool arrays on requests that did not originally declare tools. - Move agentic-loop safety guards (fingerprint cycle / max depth) out of the per-callback try/except so they propagate instead of being swallowed by the generic exception handler. Extracted _check_agentic_loop_safety. - Gate generic ``x--session-id`` capture behind the LITELLM_CAPTURE_VENDOR_SESSION_HEADERS env var (off by default) to preserve backwards compatibility; explicit x-litellm-* headers are unaffected. - Fix monkeypatch target in pre-call-hook test to patch the actual module-level binding (litellm.integrations.compression_interception.handler.compress). - Add regression tests for empty-tools skip and opt-in session capture. Co-Authored-By: Claude Opus 4.6 * revert: drop LITELLM_CAPTURE_VENDOR_SESSION_HEADERS flag Generic x--session-id header capture is a new feature and only runs *after* the explicit x-litellm-trace-id / x-litellm-session-id checks, so it does not change behavior for any existing caller that was already using the LiteLLM headers — no backwards-incompatibility to gate. Co-Authored-By: Claude Opus 4.6 * refactor(compress): replace input_type with CallTypes call_type Drop the bespoke ``CompressionInputType`` literal and use the existing ``litellm.types.utils.CallTypes`` enum instead. ``litellm.compress()`` now takes ``call_type: Union[CallTypes, str]`` (default ``CallTypes.completion``) — no new concept to learn, and the enum is already the way the rest of the codebase talks about request shapes. Supported values: ``completion`` / ``acompletion`` (OpenAI chat-completions shape) and ``anthropic_messages`` (Anthropic structured content blocks). Updated: compress(), the compression_interception handler, tests, docs, and the two eval scripts. Co-Authored-By: Claude Opus 4.6 --------- Co-authored-by: Claude Opus 4.6 * Support /v1/responses in complexity router Adds cross-format support to the complexity router via the guardrail translation handler dispatch. Adds get_structured_messages to base translation plus OpenAI chat, Responses, and Anthropic handlers. Auto-router helper _extract_text_from_messages handles tool-call and multimodal messages. Widens async_pre_routing_hook messages type to Dict[str, Any]. Fixes https://github.com/BerriAI/litellm/issues/25134 * chore: apply black formatting * fix: fallback to trying each handler when route inference fails --------- Co-authored-by: Ryan Crabbe Co-authored-by: nhyy244 <106547304+nhyy244@users.noreply.github.com> Co-authored-by: Claude Sonnet 4.6 * test: cover _is_quality_router_deployment and init_quality_router_deployment * fix: reset auto_routers on set_model_list to prevent hot-reload ValueError * style: apply black formatting to websearch_interception and agentic_streaming_iterator --------- Co-authored-by: yuneng-jiang Co-authored-by: Claude Opus 4 (1M context) Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> Co-authored-by: Ryan Crabbe Co-authored-by: nhyy244 <106547304+nhyy244@users.noreply.github.com> --- litellm/integrations/custom_logger.py | 2 +- .../chat/guardrail_translation/handler.py | 37 +- .../guardrail_translation/base_translation.py | 11 + .../chat/guardrail_translation/handler.py | 22 +- .../guardrail_translation/handler.py | 26 +- litellm/proxy/_new_secret_config.yaml | 20 +- litellm/router.py | 132 ++- .../auto_router/auto_router.py | 28 +- .../complexity_router/complexity_router.py | 128 +- .../quality_router/__init__.py | 21 + .../router_strategy/quality_router/config.py | 74 ++ .../quality_router/quality_router.py | 446 +++++++ litellm/types/router.py | 4 + .../test_openai_guardrail_handler.py | 55 + ...test_openai_responses_guardrail_handler.py | 60 + .../router_strategy/test_auto_router.py | 144 ++- .../router_strategy/test_complexity_router.py | 221 +++- .../router_strategy/test_quality_router.py | 1033 +++++++++++++++++ 18 files changed, 2390 insertions(+), 74 deletions(-) create mode 100644 litellm/router_strategy/quality_router/__init__.py create mode 100644 litellm/router_strategy/quality_router/config.py create mode 100644 litellm/router_strategy/quality_router/quality_router.py create mode 100644 tests/test_litellm/router_strategy/test_quality_router.py diff --git a/litellm/integrations/custom_logger.py b/litellm/integrations/custom_logger.py index 36486747c39..300c311f36d 100644 --- a/litellm/integrations/custom_logger.py +++ b/litellm/integrations/custom_logger.py @@ -240,7 +240,7 @@ class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callbac self, model: str, request_kwargs: Dict, - messages: Optional[List[Dict[str, str]]] = None, + messages: Optional[List[Dict[str, Any]]] = None, input: Optional[Union[str, List]] = None, specific_deployment: Optional[bool] = False, ) -> Optional[PreRoutingHookResponse]: diff --git a/litellm/llms/anthropic/chat/guardrail_translation/handler.py b/litellm/llms/anthropic/chat/guardrail_translation/handler.py index cb430b06940..2bb82f227bb 100644 --- a/litellm/llms/anthropic/chat/guardrail_translation/handler.py +++ b/litellm/llms/anthropic/chat/guardrail_translation/handler.py @@ -34,6 +34,7 @@ from litellm.types.llms.anthropic import ( ) from litellm.types.llms.openai import ( AllMessageValues, + ChatCompletionRequest, ChatCompletionToolCallChunk, ChatCompletionToolParam, ) @@ -67,6 +68,32 @@ class AnthropicMessagesHandler(BaseTranslation): super().__init__() self.adapter = LiteLLMAnthropicMessagesAdapter() + def _translate_to_openai(self, data: dict) -> ChatCompletionRequest: + """Translate Anthropic request to OpenAI chat completion format.""" + ( + chat_completion_compatible_request, + _tool_name_mapping, + ) = LiteLLMAnthropicMessagesAdapter().translate_anthropic_to_openai( + anthropic_message_request=cast(AnthropicMessagesRequest, data.copy()) + ) + return chat_completion_compatible_request + + def get_structured_messages(self, data: dict) -> Optional[List[AllMessageValues]]: + """ + Convert Anthropic messages request data to OpenAI-spec structured messages. + + Uses the Anthropic-to-OpenAI adapter to translate message format. + """ + messages = data.get("messages") + if messages is None: + return None + chat_completion_compatible_request = self._translate_to_openai(data) + result = cast( + List[AllMessageValues], + chat_completion_compatible_request.get("messages", []), + ) + return result if result else None + async def process_input_messages( self, data: dict, @@ -82,13 +109,7 @@ class AnthropicMessagesHandler(BaseTranslation): skip_system = effective_skip_system_message_for_guardrail(guardrail_to_apply) - ( - chat_completion_compatible_request, - _tool_name_mapping, - ) = LiteLLMAnthropicMessagesAdapter().translate_anthropic_to_openai( - # Use a shallow copy to avoid mutating request data (pop on litellm_metadata). - anthropic_message_request=cast(AnthropicMessagesRequest, data.copy()) - ) + chat_completion_compatible_request = self._translate_to_openai(data) structured_messages = cast( List[AllMessageValues], @@ -103,8 +124,6 @@ class AnthropicMessagesHandler(BaseTranslation): chat_completion_compatible_request.get("tools", []) ) task_mappings: List[Tuple[int, Optional[int]]] = [] - # Track (message_index, content_index) for each text - # content_index is None for string content, int for list content # Step 1: Extract all text content and images for msg_idx, message in enumerate(messages): diff --git a/litellm/llms/base_llm/guardrail_translation/base_translation.py b/litellm/llms/base_llm/guardrail_translation/base_translation.py index e1da0dfa29e..1efeb159a3e 100644 --- a/litellm/llms/base_llm/guardrail_translation/base_translation.py +++ b/litellm/llms/base_llm/guardrail_translation/base_translation.py @@ -5,6 +5,7 @@ if TYPE_CHECKING: from litellm.integrations.custom_guardrail import CustomGuardrail from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj from litellm.proxy._types import UserAPIKeyAuth + from litellm.types.llms.openai import AllMessageValues class BaseTranslation(ABC): @@ -101,6 +102,16 @@ class BaseTranslation(ABC): """ return responses_so_far + def get_structured_messages(self, data: dict) -> Optional[List["AllMessageValues"]]: + """ + Convert request data to OpenAI-spec structured messages. + + Override in subclasses for format-specific conversion. + + Returns None if no convertible content is found. + """ + return None + def extract_request_tool_names(self, data: dict) -> List[str]: """ Extract tool names from the request body for allowlist/policy checks. diff --git a/litellm/llms/openai/chat/guardrail_translation/handler.py b/litellm/llms/openai/chat/guardrail_translation/handler.py index 2db19dea0b9..86ca6625629 100644 --- a/litellm/llms/openai/chat/guardrail_translation/handler.py +++ b/litellm/llms/openai/chat/guardrail_translation/handler.py @@ -48,6 +48,17 @@ class OpenAIChatCompletionsHandler(BaseTranslation): Methods can be overridden to customize behavior for different message formats. """ + def get_structured_messages(self, data: dict) -> Optional[List[AllMessageValues]]: + """ + Convert chat completions request data to OpenAI-spec structured messages. + + Messages are already in OpenAI format, so this is a simple extraction. + """ + messages = data.get("messages") + if messages is None: + return None + return cast(List[AllMessageValues], messages) + async def process_input_messages( self, data: dict, @@ -68,9 +79,6 @@ class OpenAIChatCompletionsHandler(BaseTranslation): tool_calls_to_check: List[ChatCompletionToolParam] = [] text_task_mappings: List[Tuple[int, Optional[int]]] = [] tool_call_task_mappings: List[Tuple[int, int]] = [] - # text_task_mappings: Track (message_index, content_index) for each text - # content_index is None for string content, int for list content - # tool_call_task_mappings: Track (message_index, tool_call_index) for each tool call # Step 1: Extract all text content, images, and tool calls for msg_idx, message in enumerate(messages): @@ -92,12 +100,12 @@ class OpenAIChatCompletionsHandler(BaseTranslation): inputs["images"] = images_to_check if tool_calls_to_check: inputs["tool_calls"] = tool_calls_to_check # type: ignore - if messages: - msg_list = cast(List[AllMessageValues], messages) + structured_messages = self.get_structured_messages(data) + if structured_messages: inputs["structured_messages"] = ( - openai_messages_without_system(msg_list) + openai_messages_without_system(structured_messages) if skip_system - else msg_list + else structured_messages ) # Pass tools (function definitions) to the guardrail tools = data.get("tools") diff --git a/litellm/llms/openai/responses/guardrail_translation/handler.py b/litellm/llms/openai/responses/guardrail_translation/handler.py index 76f40eed71f..f7dd68aec55 100644 --- a/litellm/llms/openai/responses/guardrail_translation/handler.py +++ b/litellm/llms/openai/responses/guardrail_translation/handler.py @@ -43,6 +43,7 @@ from litellm.responses.litellm_completion_transformation.transformation import ( LiteLLMCompletionResponsesConfig, ) from litellm.types.llms.openai import ( + AllMessageValues, ChatCompletionToolCallChunk, ChatCompletionToolParam, ) @@ -70,6 +71,24 @@ class OpenAIResponsesHandler(BaseTranslation): Methods can be overridden to customize behavior for different message formats. """ + def get_structured_messages(self, data: dict) -> Optional[List[AllMessageValues]]: + """ + Convert Responses API request data to OpenAI-spec structured messages. + + Transforms `input` (string or ResponseInputParam) and optional + `instructions` into chat completion messages. + """ + input_data = data.get("input") + if input_data is None: + return None + messages = ( + LiteLLMCompletionResponsesConfig.transform_responses_api_input_to_messages( + input=input_data, + responses_api_request=data, + ) + ) + return cast(List[AllMessageValues], messages) if messages else None + async def process_input_messages( self, data: dict, @@ -86,12 +105,7 @@ class OpenAIResponsesHandler(BaseTranslation): if input_data is None: return data - structured_messages = ( - LiteLLMCompletionResponsesConfig.transform_responses_api_input_to_messages( - input=input_data, - responses_api_request=data, - ) - ) + structured_messages = self.get_structured_messages(data) # Handle simple string input if isinstance(input_data, str): diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml index 36c90c28559..427ec46740b 100644 --- a/litellm/proxy/_new_secret_config.yaml +++ b/litellm/proxy/_new_secret_config.yaml @@ -30,13 +30,13 @@ model_list: id: claude-sonnet-4-custom-pricing input_cost_per_token: 0.0003 # 100x standard ($0.000003) output_cost_per_token: 0.0015 # 100x standard ($0.000015) - -litellm_settings: - callbacks: ["compression_interception"] - compression_interception_params: - enabled: true - compression_trigger: 100000 -# # optional: -# # embedding_model: "text-embedding-3-small" -# # embedding_model_params: -# # dimensions: 512 \ No newline at end of file + - model_name: my-auto + litellm_params: + model: auto_router/complexity_router + complexity_router_config: + tiers: + SIMPLE: "gpt-4.1-mini" + COMPLEX: claude-sonnet-4-6 + tier_boundaries: + simple_medium: 0.30 + complexity_router_default_model: small-model diff --git a/litellm/router.py b/litellm/router.py index 6572d96f7b9..f6976109bc7 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -200,12 +200,16 @@ if TYPE_CHECKING: from litellm.router_strategy.complexity_router.complexity_router import ( ComplexityRouter, ) + from litellm.router_strategy.quality_router.quality_router import ( + QualityRouter, + ) Span = Union[_Span, Any] else: Span = Any AutoRouter = Any ComplexityRouter = Any + QualityRouter = Any PreRoutingHookResponse = Any @@ -464,6 +468,7 @@ class Router: ) # {"TEAM_ID": PatternMatchRouter} self.auto_routers: Dict[str, "AutoRouter"] = {} self.complexity_routers: Dict[str, "ComplexityRouter"] = {} + self.quality_routers: Dict[str, "QualityRouter"] = {} # Initialize model_group_alias early since it's used in set_model_list self.model_group_alias: Dict[str, Union[str, RouterModelGroupAliasItem]] = ( @@ -5884,7 +5889,7 @@ class Router: response = await response ## PROCESS RESPONSE HEADERS response = await self.set_response_headers( - response=response, model_group=model_group + response=response, model_group=model_group, request_kwargs=kwargs ) return response @@ -6814,6 +6819,8 @@ class Router: """ if litellm_params.model.startswith("auto_router/complexity_router"): return False # This is handled by complexity_router + if litellm_params.model.startswith("auto_router/quality_router"): + return False # This is handled by quality_router if litellm_params.model.startswith("auto_router/"): return True return False @@ -6920,6 +6927,58 @@ class Router: ) self.complexity_routers[deployment.model_name] = complexity_router + def _is_quality_router_deployment(self, litellm_params: LiteLLM_Params) -> bool: + """ + Check if the deployment is a quality-router deployment. + + Returns True if the litellm_params model starts with "auto_router/quality_router". + """ + if litellm_params.model.startswith("auto_router/quality_router"): + return True + return False + + def init_quality_router_deployment(self, deployment: Deployment): + """ + Initialize the quality-router deployment. + + Resolves the default model from either `quality_router_default_model` or + `quality_router_config["default_model"]`, then instantiates the + QualityRouter and stores it in `self.quality_routers`. + """ + # Import here to mirror the AutoRouter / ComplexityRouter init pattern + # and avoid circular imports. + from litellm.router_strategy.quality_router.quality_router import ( + QualityRouter, + ) + + quality_router_config: Optional[dict] = ( + deployment.litellm_params.quality_router_config + ) + + default_model: Optional[str] = ( + deployment.litellm_params.quality_router_default_model + ) + if default_model is None and quality_router_config: + default_model = quality_router_config.get("default_model") + + if default_model is None: + raise ValueError( + "quality_router_default_model is required for quality-router deployments, " + "or set default_model in quality_router_config. Please configure it in the litellm_params" + ) + + quality_router: QualityRouter = QualityRouter( + model_name=deployment.model_name, + default_model=default_model, + litellm_router_instance=self, + quality_router_config=quality_router_config, + ) + if deployment.model_name in self.quality_routers: + raise ValueError( + f"Quality-router deployment {deployment.model_name} already exists. Please use a different model name." + ) + self.quality_routers[deployment.model_name] = quality_router + def deployment_is_active_for_environment(self, deployment: Deployment) -> bool: """ Function to check if a llm deployment is active for a given environment. Allows using the same config.yaml across multople environments @@ -6966,6 +7025,11 @@ class Router: self.model_id_to_deployment_index_map = {} # Reset the index self.model_name_to_deployment_indices = {} # Reset the model_name index self.team_model_to_deployment_indices = {} # Reset the team_model index + # Reset per-strategy router registries so hot-reload doesn't leave + # stale routers pointing at the old model_list. + self.quality_routers = {} + self.complexity_routers = {} + self.auto_routers = {} self._invalidate_model_group_info_cache() self._invalidate_access_groups_cache() # we add api_base/api_key each model so load balancing between azure/gpt on api_base1 and api_base2 works @@ -7140,6 +7204,12 @@ class Router: ): self.init_complexity_router_deployment(deployment=deployment) + ######################################################### + # Check if this is a quality-router deployment + ######################################################### + if self._is_quality_router_deployment(litellm_params=deployment.litellm_params): + self.init_quality_router_deployment(deployment=deployment) + return deployment def _initialize_deployment_for_pass_through( @@ -8143,7 +8213,10 @@ class Router: return returned_dict async def set_response_headers( - self, response: Any, model_group: Optional[str] = None + self, + response: Any, + model_group: Optional[str] = None, + request_kwargs: Optional[dict] = None, ) -> Any: """ Add the most accurate rate limit headers for a given model response. @@ -8164,6 +8237,45 @@ class Router: additional_headers = response._hidden_params["additional_headers"] # type: ignore + # Lift QualityRouter routing decision into response headers for + # transparency. The decision is stashed in request_kwargs.metadata + # by QualityRouter.async_pre_routing_hook. + metadata = ( + (request_kwargs.get("metadata") or {}) + if isinstance(request_kwargs, dict) + else {} + ) + decision = ( + metadata.get("quality_router_decision") + if isinstance(metadata, dict) + else None + ) + if isinstance(decision, dict): + # Only emit headers for fields that have a meaningful value. + # `complexity_tier` and `matched_keyword` are mutually exclusive + # (the keyword path short-circuits classification), so each + # request emits one or the other but not both. + if decision.get("routed_model") is not None: + additional_headers["x-litellm-quality-router-model"] = str( + decision["routed_model"] + ) + if decision.get("quality_tier") is not None: + additional_headers["x-litellm-quality-router-tier"] = str( + decision["quality_tier"] + ) + if decision.get("routed_via") is not None: + additional_headers["x-litellm-quality-router-via"] = str( + decision["routed_via"] + ) + if decision.get("matched_keyword") is not None: + additional_headers["x-litellm-quality-router-keyword"] = str( + decision["matched_keyword"] + ) + if decision.get("complexity_tier") is not None: + additional_headers["x-litellm-quality-router-complexity"] = str( + decision["complexity_tier"] + ) + if ( "x-ratelimit-remaining-tokens" not in additional_headers and "x-ratelimit-remaining-requests" not in additional_headers @@ -8708,8 +8820,6 @@ class Router: and self.routing_strategy == "latency-based-routing" ): _settings_to_return[var] = self.lowestlatency_logger.routing_args.json() - elif var == "routing_strategy_args": - _settings_to_return[var] = None return _settings_to_return def update_settings(self, **kwargs): @@ -9620,7 +9730,7 @@ class Router: self, model: str, request_kwargs: Dict, - messages: Optional[List[Dict[str, str]]] = None, + messages: Optional[List[Dict[str, Any]]] = None, input: Optional[Union[str, List]] = None, specific_deployment: Optional[bool] = False, ) -> Optional[PreRoutingHookResponse]: @@ -9653,6 +9763,18 @@ class Router: specific_deployment=specific_deployment, ) + ######################################################### + # Check if any quality-router should be used + ######################################################### + if model in self.quality_routers: + return await self.quality_routers[model].async_pre_routing_hook( + model=model, + request_kwargs=request_kwargs, + messages=messages, + input=input, + specific_deployment=specific_deployment, + ) + return None def get_available_deployment( diff --git a/litellm/router_strategy/auto_router/auto_router.py b/litellm/router_strategy/auto_router/auto_router.py index 4ead7225abc..58b2c5a3912 100644 --- a/litellm/router_strategy/auto_router/auto_router.py +++ b/litellm/router_strategy/auto_router/auto_router.py @@ -82,11 +82,34 @@ class AutoRouter(CustomLogger): ) return auto_router_routes + @staticmethod + def _extract_text_from_messages(messages: List[Dict[str, Any]]) -> str: + """ + Extract text content from the last user message for routing. + + Handles tool-call conversations (where the last message may be an + assistant or tool message with non-string content) and multimodal + messages (where content is a list of content blocks). + """ + for msg in reversed(messages): + if msg.get("role") == "user": + content = msg.get("content") + if content is None: + return "" + if isinstance(content, list): + return " ".join( + block.get("text", "") + for block in content + if isinstance(block, dict) and block.get("type") == "text" + ) + return str(content) + return "" + async def async_pre_routing_hook( self, model: str, request_kwargs: Dict, - messages: Optional[List[Dict[str, str]]] = None, + messages: Optional[List[Dict[str, Any]]] = None, input: Optional[Union[str, List]] = None, specific_deployment: Optional[bool] = False, ) -> Optional["PreRoutingHookResponse"]: @@ -120,8 +143,7 @@ class AutoRouter(CustomLogger): auto_sync=self.auto_sync_value, ) - user_message: Dict[str, str] = messages[-1] - message_content: str = user_message.get("content", "") + message_content = self._extract_text_from_messages(messages) route_choice: Optional[Union[RouteChoice, List[RouteChoice]]] = self.routelayer( text=message_content ) diff --git a/litellm/router_strategy/complexity_router/complexity_router.py b/litellm/router_strategy/complexity_router/complexity_router.py index e51249b1cb1..aa3bcef6392 100644 --- a/litellm/router_strategy/complexity_router/complexity_router.py +++ b/litellm/router_strategy/complexity_router/complexity_router.py @@ -332,45 +332,68 @@ class ComplexityRouter(CustomLogger): f"No model configured for tier {tier_key} and no default_model set" ) - async def async_pre_routing_hook( + def _resolve_messages( self, - model: str, + messages: Optional[List[Dict[str, Any]]], request_kwargs: Dict, - messages: Optional[List[Dict[str, Any]]] = None, - input: Optional[Union[str, List]] = None, - specific_deployment: Optional[bool] = False, - ) -> Optional["PreRoutingHookResponse"]: + ) -> Optional[List[Dict[str, Any]]]: """ - Pre-routing hook called before the routing decision. + Resolve messages from the request, converting from other formats if needed. - Classifies the request by complexity and returns the appropriate model. - - Args: - model: The original model name requested. - request_kwargs: The request kwargs. - messages: The messages in the request. - input: Optional input for embeddings. - specific_deployment: Whether a specific deployment was requested. - - Returns: - PreRoutingHookResponse with the routed model, or None if no routing needed. + Uses the guardrail translation handler dispatch to convert Responses API + ``input`` (or other non-chat-completions formats) into OpenAI-spec messages. """ - from litellm.types.router import PreRoutingHookResponse + if messages: + return messages - if messages is None or len(messages) == 0: - verbose_router_logger.debug( - "ComplexityRouter: No messages provided, skipping routing" - ) - return None + from litellm.litellm_core_utils.api_route_to_call_types import ( + get_call_types_for_route, + ) + from litellm.llms import load_guardrail_translation_mappings + from litellm.types.utils import CallTypes - # Extract the last user message and the last system prompt + mappings = load_guardrail_translation_mappings() + call_type: Optional[CallTypes] = None + + # 1. Try route-based inference from proxy metadata + route = request_kwargs.get("litellm_metadata", {}).get( + "user_api_key_request_route" + ) + if route: + call_types_list = get_call_types_for_route(route) + if call_types_list: + for ct in call_types_list: + if ct in mappings: + call_type = ct + break + + # 2. Fallback: try each mapped handler until one produces messages + handlers_to_try: List[Any] = [] + if call_type is not None and call_type in mappings: + handlers_to_try.append(mappings[call_type]()) + else: + handlers_to_try.extend(handler_cls() for handler_cls in mappings.values()) + + for handler in handlers_to_try: + structured = handler.get_structured_messages(request_kwargs) + if structured: + return [ + msg if isinstance(msg, dict) else msg.model_dump() # type: ignore + for msg in structured + ] + return None + + @staticmethod + def _extract_user_message_and_system_prompt( + messages: List[Dict[str, Any]], + ) -> Tuple[Optional[str], Optional[str]]: + """Extract the last user message text and last system prompt from messages.""" user_message: Optional[str] = None system_prompt: Optional[str] = None for msg in reversed(messages): role = msg.get("role", "") content = msg.get("content") or "" - # content may be a list of content parts (e.g. [{"type": "text", "text": "..."}]) if isinstance(content, list): text_parts = [ part.get("text", "") @@ -383,6 +406,52 @@ class ComplexityRouter(CustomLogger): user_message = content elif role == "system" and system_prompt is None: system_prompt = content + if user_message is not None and system_prompt is not None: + break + + return user_message, system_prompt + + async def async_pre_routing_hook( + self, + model: str, + request_kwargs: Dict, + messages: Optional[List[Dict[str, Any]]] = None, + input: Optional[Union[str, List]] = None, + specific_deployment: Optional[bool] = False, + ) -> Optional["PreRoutingHookResponse"]: + """ + Pre-routing hook called before the routing decision. + + Classifies the request by complexity and returns the appropriate model. + Supports chat completions (messages), Responses API (input), and other + formats via the guardrail translation handler dispatch. + + Args: + model: The original model name requested. + request_kwargs: The request kwargs. + messages: The messages in the request. + input: Optional input for Responses API or embeddings. + specific_deployment: Whether a specific deployment was requested. + + Returns: + PreRoutingHookResponse with the routed model, or None if no routing needed. + """ + from litellm.types.router import PreRoutingHookResponse + + resolved_messages = self._resolve_messages(messages, request_kwargs) + + if not resolved_messages: + verbose_router_logger.debug( + "ComplexityRouter: No messages could be resolved, skipping routing" + ) + return None + + # Determine whether the original request used messages directly + has_original_messages = messages is not None and len(messages) > 0 + + user_message, system_prompt = self._extract_user_message_and_system_prompt( + resolved_messages + ) if user_message is None: verbose_router_logger.debug( @@ -391,13 +460,10 @@ class ComplexityRouter(CustomLogger): return PreRoutingHookResponse( model=self.config.default_model or self.get_model_for_tier(ComplexityTier.MEDIUM), - messages=messages, + messages=messages if has_original_messages else None, ) - # Classify the request tier, score, signals = self.classify(user_message, system_prompt) - - # Get the model for this tier routed_model = self.get_model_for_tier(tier) verbose_router_logger.info( @@ -407,5 +473,5 @@ class ComplexityRouter(CustomLogger): return PreRoutingHookResponse( model=routed_model, - messages=messages, + messages=messages if has_original_messages else None, ) diff --git a/litellm/router_strategy/quality_router/__init__.py b/litellm/router_strategy/quality_router/__init__.py new file mode 100644 index 00000000000..5728943448a --- /dev/null +++ b/litellm/router_strategy/quality_router/__init__.py @@ -0,0 +1,21 @@ +""" +Quality-tier auto-router. + +Re-uses the ComplexityRouter's classification to decide a request's complexity, +then maps that complexity to an admin-configured quality tier and resolves the +target model from each candidate's `model_info.litellm_routing_preferences`. +""" + +from .config import ( + DEFAULT_COMPLEXITY_TO_QUALITY, + QualityRouterConfig, + RoutingPreferences, +) +from .quality_router import QualityRouter + +__all__ = [ + "QualityRouter", + "QualityRouterConfig", + "RoutingPreferences", + "DEFAULT_COMPLEXITY_TO_QUALITY", +] diff --git a/litellm/router_strategy/quality_router/config.py b/litellm/router_strategy/quality_router/config.py new file mode 100644 index 00000000000..125ecd5bb9b --- /dev/null +++ b/litellm/router_strategy/quality_router/config.py @@ -0,0 +1,74 @@ +""" +Configuration models for the QualityRouter. +""" + +from typing import Dict, List, Optional + +from pydantic import BaseModel, ConfigDict, Field + +# Default mapping from ComplexityTier name (string) to quality tier (int). +# Higher tier = higher capability requirement. +DEFAULT_COMPLEXITY_TO_QUALITY: Dict[str, int] = { + "SIMPLE": 1, + "MEDIUM": 2, + "COMPLEX": 3, + "REASONING": 4, +} + + +class QualityRouterConfig(BaseModel): + """Configuration for the QualityRouter.""" + + available_models: List[str] = Field( + default_factory=list, + description=( + "List of candidate model names this router may route to. Each model " + "must declare its quality_tier in model_info.litellm_routing_preferences." + ), + ) + + default_model: Optional[str] = Field( + default=None, + description="Fallback model when no quality tier resolves.", + ) + + complexity_to_quality: Dict[str, int] = Field( + default_factory=lambda: DEFAULT_COMPLEXITY_TO_QUALITY.copy(), + description="Mapping from ComplexityTier name to quality tier (int).", + ) + + model_config = ConfigDict(extra="allow") + + +class RoutingPreferences(BaseModel): + """Per-deployment routing preferences declared on model_info.""" + + quality_tier: int = Field( + ..., + description="The quality tier this deployment satisfies.", + ) + + keywords: List[str] = Field( + default_factory=list, + description=( + "Substring keywords (case-insensitive) that, when present in the " + "user message, route the request to this deployment. See `order` " + "for explicit collision handling, otherwise ties fall through to " + "(highest quality_tier, then cheapest model_info.input_cost_per_token)." + ), + ) + + order: Optional[int] = Field( + default=None, + description=( + "Explicit priority used to break ties between deployments at the " + "same quality tier. Lower values win. Applies both to keyword " + "collisions and to picking between multiple deployments at the " + "same quality_tier. Tiebreak order is " + "(quality_tier DESC, order ASC, input_cost_per_token ASC, " + "model_name ASC) — quality always wins first, then explicit " + "order, then price." + ), + ) + + model_config = ConfigDict(extra="allow") diff --git a/litellm/router_strategy/quality_router/quality_router.py b/litellm/router_strategy/quality_router/quality_router.py new file mode 100644 index 00000000000..a79b4384f5e --- /dev/null +++ b/litellm/router_strategy/quality_router/quality_router.py @@ -0,0 +1,446 @@ +""" +Quality-tier Auto Router. + +Routes a request to a model at a target quality tier. The quality tier is +inferred by re-using the existing ComplexityRouter's classification, then +mapped through an admin-configured `complexity_to_quality` table. Each +candidate model declares its own `quality_tier` in +`model_info.litellm_routing_preferences`. + +Optional keyword override: deployments may also declare `keywords` in +`litellm_routing_preferences`. If any declared keyword appears in the user +message (case-insensitive substring match), the router short-circuits the +complexity-classification flow and routes to the matching deployment. When +multiple deployments match, ties are broken by (highest quality_tier first, +then cheapest `model_info.input_cost_per_token`). +""" + +import math +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union + +from litellm._logging import verbose_router_logger +from litellm.integrations.custom_logger import CustomLogger +from litellm.router_strategy.complexity_router.complexity_router import ( + ComplexityRouter, +) + +from .config import QualityRouterConfig, RoutingPreferences + +if TYPE_CHECKING: + from litellm.router import Router + from litellm.types.router import PreRoutingHookResponse +else: + Router = Any + PreRoutingHookResponse = Any + + +class QualityRouter(CustomLogger): + """ + Routes requests to a model at a target quality tier, with an optional + keyword override. + """ + + def __init__( + self, + model_name: str, + litellm_router_instance: "Router", + default_model: Optional[str] = None, + quality_router_config: Optional[Dict[str, Any]] = None, + ): + self.model_name = model_name + self.litellm_router_instance = litellm_router_instance + + if quality_router_config: + self.config = QualityRouterConfig(**quality_router_config) + else: + self.config = QualityRouterConfig() + + # Explicit default_model arg overrides anything in the config dict. + if default_model: + self.config.default_model = default_model + + # Internal scorer — re-use the existing rule-based classifier. + self._scorer = ComplexityRouter( + model_name=f"{model_name}::scorer", + litellm_router_instance=litellm_router_instance, + ) + + # Per-model indices populated alongside the tier index. `_model_keywords` + # stores keywords lowercased so we can substring-match against the + # lowercased user message in O(total-keyword-count). `_model_quality`, + # `_model_cost`, and `_model_order` drive tiebreaking — `_model_order` + # is the explicit priority (lower wins, unset = +inf). + self._model_keywords: Dict[str, List[str]] = {} + self._model_quality: Dict[str, int] = {} + self._model_cost: Dict[str, Optional[float]] = {} + self._model_order: Dict[str, Optional[int]] = {} + + # Tier → models index. Built lazily on first access so the QualityRouter + # deployment does NOT need to appear after all its referenced models in + # the config — when `_build_tier_index` runs eagerly in `__init__`, the + # router instance's `model_list` is still being assembled incrementally + # by `_create_deployment`, and any `available_models` defined AFTER the + # router entry in config.yaml would silently be reported as missing. + self._tier_to_models_cache: Optional[Dict[int, List[str]]] = None + + verbose_router_logger.debug( + f"QualityRouter initialized for {model_name} with " + f"available_models={self.config.available_models}, " + f"default_model={self.config.default_model}" + ) + + @property + def _tier_to_models(self) -> Dict[int, List[str]]: + """Lazy tier→models index; built on first access.""" + if self._tier_to_models_cache is None: + self._tier_to_models_cache = self._build_tier_index() + return self._tier_to_models_cache + + def _get_routing_preferences(self, deployment: Any) -> Optional[Dict[str, Any]]: + """ + Extract litellm_routing_preferences from a deployment, handling both + dict-shaped and Pydantic-object-shaped deployments. + """ + # Dict-shaped deployment. + if isinstance(deployment, dict): + model_info = deployment.get("model_info") or {} + if isinstance(model_info, dict): + return model_info.get("litellm_routing_preferences") + # Pydantic ModelInfo nested in a dict. + return getattr(model_info, "litellm_routing_preferences", None) + + # Pydantic-object deployment. + model_info = getattr(deployment, "model_info", None) + if model_info is None: + return None + if isinstance(model_info, dict): + return model_info.get("litellm_routing_preferences") + return getattr(model_info, "litellm_routing_preferences", None) + + def _get_deployment_input_cost(self, deployment: Any) -> Optional[float]: + """ + Extract `input_cost_per_token` from a deployment's model_info. + + Returns None when not declared — None is treated as "infinite cost" + for the cheapest-tiebreak ordering, so unpriced models lose ties to + priced ones. (Admins who want a model to win on price must declare it.) + """ + if isinstance(deployment, dict): + model_info = deployment.get("model_info") or {} + else: + model_info = getattr(deployment, "model_info", None) or {} + + if isinstance(model_info, dict): + cost = model_info.get("input_cost_per_token") + else: + cost = getattr(model_info, "input_cost_per_token", None) + + if cost is None: + return None + try: + return float(cost) + except (TypeError, ValueError): + return None + + def _get_deployment_model_name(self, deployment: Any) -> Optional[str]: + """Extract `model_name` from a dict- or object-shaped deployment.""" + if isinstance(deployment, dict): + return deployment.get("model_name") + return getattr(deployment, "model_name", None) + + def _build_tier_index(self) -> Dict[int, List[str]]: + """ + Build {quality_tier: [model_name, ...]} for every model in + `available_models`, plus side indices `_model_keywords`, + `_model_quality`, and `_model_cost`. Raises if any listed model is + missing `litellm_routing_preferences`. + """ + model_list = getattr(self.litellm_router_instance, "model_list", None) or [] + available = set(self.config.available_models) + + # Track which available models we've matched so we can error on missing. + seen: Dict[str, bool] = {name: False for name in available} + tier_to_models: Dict[int, List[str]] = {} + + for deployment in model_list: + name = self._get_deployment_model_name(deployment) + if name is None or name not in available: + continue + + raw_prefs = self._get_routing_preferences(deployment) + if raw_prefs is None: + raise ValueError( + f"QualityRouter: model '{name}' is listed in available_models " + f"but has no model_info.litellm_routing_preferences" + ) + + # Validate via the Pydantic model so we get a clear error for + # missing quality_tier, wrong types, etc. This also means + # `RoutingPreferences` is the single source of truth for the + # accepted shape — readers relied on raw dicts before. + try: + if isinstance(raw_prefs, RoutingPreferences): + prefs = raw_prefs + elif isinstance(raw_prefs, dict): + prefs = RoutingPreferences(**raw_prefs) + else: + # A Pydantic object of some other shape — coerce via its dict. + prefs = RoutingPreferences( + **( + raw_prefs.model_dump() + if hasattr(raw_prefs, "model_dump") + else dict(raw_prefs) + ) + ) + except Exception as e: + raise ValueError( + f"QualityRouter: model '{name}' has invalid " + f"litellm_routing_preferences: {e}" + ) from e + + tier_int = int(prefs.quality_tier) + tier_to_models.setdefault(tier_int, []).append(name) + self._model_keywords[name] = [str(k).lower() for k in prefs.keywords if k] + self._model_quality[name] = tier_int + self._model_cost[name] = self._get_deployment_input_cost(deployment) + self._model_order[name] = prefs.order + seen[name] = True + + missing = [name for name, found in seen.items() if not found] + if missing: + raise ValueError( + f"QualityRouter: the following available_models are not present in " + f"the router's model_list (or are missing routing preferences): {missing}" + ) + + # Sort each tier's model list so `_resolve_model_for_quality_tier` + # (which picks index [0]) honors (order ASC, cost ASC, name ASC). + # Quality is moot within a single tier; keep parity with the keyword + # tiebreak by ordering on (order, cost, name) here. + for models in tier_to_models.values(): + models.sort(key=lambda n: (self._order_key(n), self._cost_key(n), n)) + + return tier_to_models + + def _order_key(self, model_name: str) -> float: + """`order` lookup as a float — unset becomes +inf so explicit wins.""" + order = self._model_order.get(model_name) + return float(order) if order is not None else math.inf + + def _cost_key(self, model_name: str) -> float: + """`input_cost_per_token` as a float — unset becomes +inf.""" + cost = self._model_cost.get(model_name) + return float(cost) if cost is not None else math.inf + + def _keyword_override(self, user_message: str) -> Optional[Tuple[str, str]]: + """ + Find a deployment whose declared keywords appear in `user_message`. + + Returns (model_name, matched_keyword) or None when no keyword matches. + When multiple deployments match, sorts by: + 1. quality_tier DESC (best quality always wins first) + 2. `order` ASC (explicit priority — unset = +inf so explicit wins + within the same tier) + 3. input_cost_per_token ASC (unpriced = +inf so priced wins) + 4. model_name ASC (deterministic stability) + """ + # Touch the lazy index so `_model_keywords` / `_model_quality` / + # `_model_cost` / `_model_order` are populated. + _ = self._tier_to_models + + text = user_message.lower() + + matches: List[Tuple[str, str]] = [] # (model_name, matched_keyword) + for model_name, keywords in self._model_keywords.items(): + for kw in keywords: + if kw and kw in text: + matches.append((model_name, kw)) + break # one match per model is enough + + if not matches: + return None + + def sort_key(match: Tuple[str, str]) -> Tuple[int, float, float, str]: + name = match[0] + quality = self._model_quality.get(name, 0) + order_val = self._order_key(name) + cost = self._model_cost.get(name) + cost_val = cost if cost is not None else math.inf + # Negate quality so higher tier sorts first under ASC sort. + return (-quality, order_val, cost_val, name) + + matches.sort(key=sort_key) + return matches[0] + + def _resolve_model_for_quality_tier(self, tier: int) -> str: + """ + Resolve a quality tier to a concrete model name. + + Strategy: + 1. Exact tier match → first model registered at that tier. + 2. Round UP to the next higher tier that has a model (closer to a + request we might lack capacity for). + 3. Round DOWN to the closest lower tier that has a model (degrade + gracefully instead of jumping straight to `default_model`, + which may be off-tier). + 4. Fall back to `config.default_model`. + 5. Otherwise raise. + """ + tier_index = self._tier_to_models + if tier in tier_index and tier_index[tier]: + return tier_index[tier][0] + + # Round up. + higher_tiers = sorted(t for t in tier_index if t > tier) + for t in higher_tiers: + if tier_index[t]: + return tier_index[t][0] + + # Round down — closest lower tier first. + lower_tiers = sorted((t for t in tier_index if t < tier), reverse=True) + for t in lower_tiers: + if tier_index[t]: + return tier_index[t][0] + + if self.config.default_model: + return self.config.default_model + + raise ValueError( + f"QualityRouter: no model available for quality tier {tier} and " + f"no default_model configured" + ) + + def _stash_decision( + self, + request_kwargs: Optional[Dict[str, Any]], + decision: Dict[str, Any], + ) -> None: + """ + Stash the routing decision in request_kwargs.metadata so the Router can + lift it into response headers (`x-litellm-quality-router-*`). The same + dict object flows from here through to `make_call.set_response_headers`. + """ + if request_kwargs is None: + return + metadata = request_kwargs.setdefault("metadata", {}) + if isinstance(metadata, dict): + metadata["quality_router_decision"] = decision + + async def async_pre_routing_hook( + self, + model: str, + request_kwargs: Dict, + messages: Optional[List[Dict[str, Any]]] = None, + input: Optional[Union[str, List]] = None, + specific_deployment: Optional[bool] = False, + ) -> Optional["PreRoutingHookResponse"]: + """Try keyword override first; fall back to complexity-tier routing.""" + from litellm.types.router import PreRoutingHookResponse + + if messages is None or len(messages) == 0: + verbose_router_logger.debug( + "QualityRouter: No messages provided, skipping routing" + ) + return None + + # Extract last user message and last system prompt — same rules as + # ComplexityRouter.async_pre_routing_hook. + user_message: Optional[str] = None + system_prompt: Optional[str] = None + + for msg in reversed(messages): + role = msg.get("role", "") + content = msg.get("content") or "" + if isinstance(content, list): + text_parts = [ + part.get("text", "") + for part in content + if isinstance(part, dict) and part.get("type") == "text" + ] + content = " ".join(text_parts).strip() + if isinstance(content, str) and content: + if role == "user" and user_message is None: + user_message = content + elif role == "system" and system_prompt is None: + system_prompt = content + + if user_message is None: + verbose_router_logger.debug( + "QualityRouter: No user message found, routing to default model" + ) + if not self.config.default_model: + raise ValueError( + "QualityRouter: no user message and no default_model configured" + ) + return PreRoutingHookResponse( + model=self.config.default_model, + messages=messages, + ) + + # Try keyword override first — it short-circuits complexity classification. + keyword_match = self._keyword_override(user_message) + if keyword_match is not None: + routed_model, matched_keyword = keyword_match + verbose_router_logger.info( + f"QualityRouter: keyword override matched='{matched_keyword}' " + f"routed_model={routed_model} " + f"(quality_tier={self._model_quality.get(routed_model)}, " + f"input_cost_per_token={self._model_cost.get(routed_model)})" + ) + self._stash_decision( + request_kwargs, + { + "router_model_name": self.model_name, + "routed_model": routed_model, + "routed_via": "keyword", + "matched_keyword": matched_keyword, + "quality_tier": self._model_quality.get(routed_model), + "complexity_tier": None, + }, + ) + return PreRoutingHookResponse( + model=routed_model, + messages=messages, + ) + + # No keyword match → complexity classification flow. + complexity_tier, score, signals = self._scorer.classify( + user_message, system_prompt + ) + complexity_name = ( + complexity_tier.value + if hasattr(complexity_tier, "value") + else str(complexity_tier) + ) + + quality_tier = self.config.complexity_to_quality.get(complexity_name) + if quality_tier is None: + raise ValueError( + f"QualityRouter: complexity tier '{complexity_name}' not present " + f"in complexity_to_quality mapping {self.config.complexity_to_quality}" + ) + + routed_model = self._resolve_model_for_quality_tier(int(quality_tier)) + + verbose_router_logger.info( + f"QualityRouter: complexity={complexity_name}, score={score:.3f}, " + f"signals={signals}, quality_tier={quality_tier}, " + f"routed_model={routed_model}" + ) + + self._stash_decision( + request_kwargs, + { + "router_model_name": self.model_name, + "routed_model": routed_model, + "routed_via": "quality_tier", + "matched_keyword": None, + "quality_tier": int(quality_tier), + "complexity_tier": complexity_name, + }, + ) + + return PreRoutingHookResponse( + model=routed_model, + messages=messages, + ) diff --git a/litellm/types/router.py b/litellm/types/router.py index 6bd64915d79..fb71e1f6491 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -221,6 +221,10 @@ class GenericLiteLLMParams(CredentialLiteLLMParams, CustomPricingLiteLLMParams): complexity_router_config: Optional[Dict] = None complexity_router_default_model: Optional[str] = None + # quality-router params + quality_router_config: Optional[Dict] = None + quality_router_default_model: Optional[str] = None + # Batch/File API Params s3_bucket_name: Optional[str] = None s3_encryption_key_id: Optional[str] = None diff --git a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py index a4ac4c94d29..a2c37002942 100644 --- a/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py +++ b/tests/test_litellm/llms/openai/chat/guardrail_translation/test_openai_guardrail_handler.py @@ -891,6 +891,61 @@ class TestOpenAIChatCompletionsHandlerStreamingOutput: assert result == responses_so_far +class TestGetStructuredMessages: + """Test the get_structured_messages method.""" + + def test_should_return_messages_from_chat_completions_request(self): + """Test that messages are returned from a chat completions request.""" + handler = OpenAIChatCompletionsHandler() + data = { + "messages": [ + {"role": "system", "content": "You are helpful."}, + {"role": "user", "content": "Hello"}, + ] + } + result = handler.get_structured_messages(data) + assert result is not None + assert len(result) == 2 + assert result[0]["role"] == "system" + assert result[1]["role"] == "user" + + def test_should_return_none_when_no_messages(self): + """Test that None is returned when no messages key exists.""" + handler = OpenAIChatCompletionsHandler() + data = {"model": "gpt-4"} + result = handler.get_structured_messages(data) + assert result is None + + def test_should_return_none_for_none_messages(self): + """Test that None is returned when messages is explicitly None.""" + handler = OpenAIChatCompletionsHandler() + data = {"messages": None} + result = handler.get_structured_messages(data) + assert result is None + + def test_should_handle_multimodal_content(self): + """Test that messages with multimodal content are returned.""" + handler = OpenAIChatCompletionsHandler() + data = { + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": "What's in this image?"}, + { + "type": "image_url", + "image_url": {"url": "https://example.com/image.png"}, + }, + ], + } + ] + } + result = handler.get_structured_messages(data) + assert result is not None + assert len(result) == 1 + assert isinstance(result[0]["content"], list) + + if __name__ == "__main__": # Run the tests pytest.main([__file__, "-v"]) diff --git a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py index ccece8018ff..aee6ccc2e76 100644 --- a/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py +++ b/tests/test_litellm/llms/openai/responses/test_openai_responses_guardrail_handler.py @@ -995,3 +995,63 @@ class TestOpenAIResponsesHandlerStreamingOutputProcessing: # Should return the responses assert result == responses_so_far + + +class TestGetStructuredMessages: + """Test the get_structured_messages method for Responses API handler.""" + + def test_should_convert_string_input_to_messages(self): + """Test that a simple string input is converted to OpenAI messages.""" + handler = OpenAIResponsesHandler() + data = {"input": "What is the capital of France?"} + result = handler.get_structured_messages(data) + assert result is not None + assert len(result) >= 1 + found_user = False + for msg in result: + if isinstance(msg, dict) and msg.get("role") == "user": + found_user = True + break + assert found_user, f"Expected a user message, got: {result}" + + def test_should_convert_list_input_to_messages(self): + """Test that list input (ResponseInputParam) is converted to OpenAI messages.""" + handler = OpenAIResponsesHandler() + data = { + "input": [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi there!"}, + {"role": "user", "content": "How are you?"}, + ] + } + result = handler.get_structured_messages(data) + assert result is not None + assert len(result) >= 3 + + def test_should_include_instructions_as_system_message(self): + """Test that instructions are included as a system message.""" + handler = OpenAIResponsesHandler() + data = { + "input": "Roll a d20", + "instructions": "You are a helpful dungeon master.", + } + result = handler.get_structured_messages(data) + assert result is not None + has_system = any( + isinstance(msg, dict) and msg.get("role") == "system" for msg in result + ) + assert has_system, f"Expected system message from instructions, got: {result}" + + def test_should_return_none_when_no_input(self): + """Test that None is returned when input key is missing.""" + handler = OpenAIResponsesHandler() + data = {"model": "gpt-4o"} + result = handler.get_structured_messages(data) + assert result is None + + def test_should_return_none_for_none_input(self): + """Test that None is returned when input is explicitly None.""" + handler = OpenAIResponsesHandler() + data = {"input": None} + result = handler.get_structured_messages(data) + assert result is None diff --git a/tests/test_litellm/router_strategy/test_auto_router.py b/tests/test_litellm/router_strategy/test_auto_router.py index caff2bc8f10..cb46a4ae553 100644 --- a/tests/test_litellm/router_strategy/test_auto_router.py +++ b/tests/test_litellm/router_strategy/test_auto_router.py @@ -12,7 +12,148 @@ sys.path.insert( from litellm.router_strategy.auto_router.auto_router import AutoRouter -pytestmark = pytest.mark.skip(reason="Skipping auto router tests - beta feature") +pytestmark_skip_beta = pytest.mark.skip( + reason="Skipping auto router tests - beta feature" +) + + +class TestExtractTextFromMessages: + """Tests for AutoRouter._extract_text_from_messages (no semantic_router dependency).""" + + def test_should_extract_content_from_simple_user_message(self): + messages = [{"role": "user", "content": "Hello world"}] + result = AutoRouter._extract_text_from_messages(messages) + assert result == "Hello world" + + def test_should_extract_last_user_message_from_tool_call_conversation(self): + messages = [ + {"role": "user", "content": "What's the weather in NYC?"}, + { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_abc123", + "type": "function", + "function": { + "name": "get_weather", + "arguments": '{"location": "NYC"}', + }, + } + ], + }, + { + "role": "tool", + "tool_call_id": "call_abc123", + "content": "72°F and sunny", + }, + {"role": "user", "content": "Now tell me about London"}, + ] + result = AutoRouter._extract_text_from_messages(messages) + assert result == "Now tell me about London" + + def test_should_find_user_message_when_last_message_is_assistant_with_tool_calls( + self, + ): + messages = [ + {"role": "user", "content": "What's the weather?"}, + { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_abc", + "type": "function", + "function": {"name": "get_weather", "arguments": "{}"}, + } + ], + }, + ] + result = AutoRouter._extract_text_from_messages(messages) + assert result == "What's the weather?" + + def test_should_find_user_message_when_last_message_is_tool_response(self): + messages = [ + {"role": "user", "content": "What's the weather?"}, + { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_abc", + "type": "function", + "function": {"name": "get_weather", "arguments": "{}"}, + } + ], + }, + { + "role": "tool", + "tool_call_id": "call_abc", + "content": "72°F and sunny", + }, + ] + result = AutoRouter._extract_text_from_messages(messages) + assert result == "What's the weather?" + + def test_should_handle_multimodal_content_list(self): + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "What's in this image?"}, + { + "type": "image_url", + "image_url": {"url": "https://example.com/img.png"}, + }, + ], + } + ] + result = AutoRouter._extract_text_from_messages(messages) + assert result == "What's in this image?" + + def test_should_handle_multimodal_content_with_multiple_text_blocks(self): + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "First part"}, + {"type": "text", "text": "Second part"}, + { + "type": "image_url", + "image_url": {"url": "https://example.com/img.png"}, + }, + ], + } + ] + result = AutoRouter._extract_text_from_messages(messages) + assert result == "First part Second part" + + def test_should_return_empty_string_when_user_content_is_none(self): + messages = [{"role": "user", "content": None}] + result = AutoRouter._extract_text_from_messages(messages) + assert result == "" + + def test_should_return_empty_string_when_no_user_messages(self): + messages = [ + {"role": "system", "content": "You are a helpful assistant"}, + { + "role": "assistant", + "content": None, + "tool_calls": [ + { + "id": "call_abc", + "type": "function", + "function": {"name": "get_weather", "arguments": "{}"}, + } + ], + }, + ] + result = AutoRouter._extract_text_from_messages(messages) + assert result == "" + + def test_should_return_empty_string_for_empty_messages_list(self): + result = AutoRouter._extract_text_from_messages([]) + assert result == "" @pytest.fixture @@ -41,6 +182,7 @@ def mock_route_choice(): return mock_choice +@pytestmark_skip_beta class TestAutoRouter: """Test class for AutoRouter methods.""" diff --git a/tests/test_litellm/router_strategy/test_complexity_router.py b/tests/test_litellm/router_strategy/test_complexity_router.py index 8d36fc2ba32..e68ea863d82 100644 --- a/tests/test_litellm/router_strategy/test_complexity_router.py +++ b/tests/test_litellm/router_strategy/test_complexity_router.py @@ -7,7 +7,7 @@ Tests the rule-based complexity scoring and tier assignment logic. import os import sys from typing import Dict, List -from unittest.mock import MagicMock +from unittest.mock import MagicMock, patch import pytest @@ -828,3 +828,222 @@ class TestRouterComplexityDeploymentMethods: ) router.init_complexity_router_deployment(deployment) assert "auto_router/complexity_router/test-router" in router.complexity_routers + + +class TestAsyncPreRoutingHookMultiFormat: + """Test async_pre_routing_hook with multiple input formats.""" + + @pytest.mark.asyncio + async def test_should_route_with_chat_completions_messages(self, complexity_router): + """Test routing with standard chat completions messages.""" + result = await complexity_router.async_pre_routing_hook( + model="test-model", + request_kwargs={}, + messages=[{"role": "user", "content": "What is 2+2?"}], + ) + assert result is not None + assert result.model is not None + assert result.messages is not None + + @pytest.mark.asyncio + async def test_should_route_with_responses_api_string_input( + self, complexity_router + ): + """Test routing with Responses API string input via handler dispatch.""" + from litellm.llms.openai.responses.guardrail_translation.handler import ( + OpenAIResponsesHandler, + ) + from litellm.types.utils import CallTypes + + mock_mappings = {CallTypes.responses: OpenAIResponsesHandler} + + with patch( + "litellm.llms.load_guardrail_translation_mappings", + return_value=mock_mappings, + ): + result = await complexity_router.async_pre_routing_hook( + model="test-model", + request_kwargs={"input": "What is the capital of France?"}, + messages=None, + input="What is the capital of France?", + ) + + assert result is not None + assert result.model is not None + # messages should be None since the original request didn't have messages + assert result.messages is None + + @pytest.mark.asyncio + async def test_should_route_with_responses_api_list_input(self, complexity_router): + """Test routing with Responses API list input via handler dispatch.""" + from litellm.llms.openai.responses.guardrail_translation.handler import ( + OpenAIResponsesHandler, + ) + from litellm.types.utils import CallTypes + + mock_mappings = {CallTypes.responses: OpenAIResponsesHandler} + + list_input = [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi there!"}, + { + "role": "user", + "content": "Write a Python function to sort a list using merge sort", + }, + ] + + with patch( + "litellm.llms.load_guardrail_translation_mappings", + return_value=mock_mappings, + ): + result = await complexity_router.async_pre_routing_hook( + model="test-model", + request_kwargs={"input": list_input}, + messages=None, + input=list_input, + ) + + assert result is not None + assert result.model is not None + assert result.messages is None + + @pytest.mark.asyncio + async def test_should_use_route_based_inference(self, complexity_router): + """Test that route-based call type inference is used when available.""" + from litellm.llms.openai.responses.guardrail_translation.handler import ( + OpenAIResponsesHandler, + ) + from litellm.types.utils import CallTypes + + mock_mappings = {CallTypes.responses: OpenAIResponsesHandler} + + with patch( + "litellm.llms.load_guardrail_translation_mappings", + return_value=mock_mappings, + ): + result = await complexity_router.async_pre_routing_hook( + model="test-model", + request_kwargs={ + "input": "Roll 2d4+1", + "litellm_metadata": { + "user_api_key_request_route": "/v1/responses", + }, + }, + messages=None, + ) + + assert result is not None + assert result.model is not None + + @pytest.mark.asyncio + async def test_should_return_none_when_no_messages_or_input( + self, complexity_router + ): + """Test that None is returned when neither messages nor input is available.""" + result = await complexity_router.async_pre_routing_hook( + model="test-model", + request_kwargs={}, + messages=None, + input=None, + ) + assert result is None + + @pytest.mark.asyncio + async def test_should_prefer_original_messages_over_conversion( + self, complexity_router + ): + """Test that original messages are used when both messages and input are available.""" + messages = [{"role": "user", "content": "What is 2+2?"}] + result = await complexity_router.async_pre_routing_hook( + model="test-model", + request_kwargs={"input": "This should be ignored"}, + messages=messages, + ) + assert result is not None + assert result.messages == messages + + @pytest.mark.asyncio + async def test_should_include_instructions_in_classification( + self, complexity_router + ): + """Test that Responses API instructions influence classification via system message.""" + from litellm.llms.openai.responses.guardrail_translation.handler import ( + OpenAIResponsesHandler, + ) + from litellm.types.utils import CallTypes + + mock_mappings = {CallTypes.responses: OpenAIResponsesHandler} + + with patch( + "litellm.llms.load_guardrail_translation_mappings", + return_value=mock_mappings, + ): + result = await complexity_router.async_pre_routing_hook( + model="test-model", + request_kwargs={ + "input": "Write merge sort", + "instructions": "You are an expert Python developer. Use advanced algorithms and optimize for performance.", + }, + messages=None, + ) + + assert result is not None + assert result.model is not None + + +class TestExtractUserMessageAndSystemPrompt: + """Test the _extract_user_message_and_system_prompt static method.""" + + def test_should_extract_user_message(self): + """Test extraction of the last user message.""" + messages = [ + {"role": "system", "content": "You are helpful."}, + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi!"}, + {"role": "user", "content": "How are you?"}, + ] + user_msg, sys_prompt = ComplexityRouter._extract_user_message_and_system_prompt( + messages + ) + assert user_msg == "How are you?" + assert sys_prompt == "You are helpful." + + def test_should_handle_no_user_message(self): + """Test when there is no user message.""" + messages = [ + {"role": "system", "content": "You are helpful."}, + {"role": "assistant", "content": "Hi!"}, + ] + user_msg, sys_prompt = ComplexityRouter._extract_user_message_and_system_prompt( + messages + ) + assert user_msg is None + assert sys_prompt == "You are helpful." + + def test_should_handle_multipart_content(self): + """Test extraction from multipart content messages.""" + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "Describe this image"}, + { + "type": "image_url", + "image_url": {"url": "https://example.com/img.png"}, + }, + ], + } + ] + user_msg, sys_prompt = ComplexityRouter._extract_user_message_and_system_prompt( + messages + ) + assert user_msg == "Describe this image" + assert sys_prompt is None + + def test_should_handle_empty_messages(self): + """Test with empty messages list.""" + user_msg, sys_prompt = ComplexityRouter._extract_user_message_and_system_prompt( + [] + ) + assert user_msg is None + assert sys_prompt is None diff --git a/tests/test_litellm/router_strategy/test_quality_router.py b/tests/test_litellm/router_strategy/test_quality_router.py new file mode 100644 index 00000000000..01574cb980d --- /dev/null +++ b/tests/test_litellm/router_strategy/test_quality_router.py @@ -0,0 +1,1033 @@ +""" +Tests for the QualityRouter. + +Covers: +- Tier index construction from `model_info.litellm_routing_preferences`. +- Quality-tier resolution (exact, round-up, default fallback). +- Keyword override (match, tiebreaking by quality + price). +- Pre-routing hook end-to-end. +- Decision metadata stash + Router.set_response_headers lift. +""" + +import os +import sys +from typing import Any, Dict, List +from unittest.mock import MagicMock + +import pytest + +sys.path.insert(0, os.path.abspath("../../..")) + +from litellm.router_strategy.quality_router.config import ( + DEFAULT_COMPLEXITY_TO_QUALITY, +) +from litellm.router_strategy.quality_router.quality_router import QualityRouter + + +def _make_model_list(spec: List[Dict[str, Any]]) -> List[Dict[str, Any]]: + """ + Build a router model_list from a compact spec. + + spec entry shape: { + "model_name": str, + "quality_tier": Optional[int], + "keywords": Optional[List[str]], + "order": Optional[int], + "input_cost_per_token": Optional[float], + } + If quality_tier is None, the deployment is created without + `litellm_routing_preferences`. + """ + out: List[Dict[str, Any]] = [] + for entry in spec: + model_info: Dict[str, Any] = {"id": f"id-{entry['model_name']}"} + if entry.get("quality_tier") is not None: + prefs: Dict[str, Any] = {"quality_tier": entry["quality_tier"]} + if "keywords" in entry: + prefs["keywords"] = entry["keywords"] + if "order" in entry: + prefs["order"] = entry["order"] + model_info["litellm_routing_preferences"] = prefs + if "input_cost_per_token" in entry: + model_info["input_cost_per_token"] = entry["input_cost_per_token"] + out.append( + { + "model_name": entry["model_name"], + "litellm_params": {"model": f"openai/{entry['model_name']}"}, + "model_info": model_info, + } + ) + return out + + +@pytest.fixture +def four_tier_model_list() -> List[Dict[str, Any]]: + """A standard haiku(1)/sonnet(2)/opus(3)/opus-next(4) model list.""" + return _make_model_list( + [ + {"model_name": "haiku", "quality_tier": 1}, + {"model_name": "sonnet", "quality_tier": 2}, + {"model_name": "opus", "quality_tier": 3}, + {"model_name": "opus-next", "quality_tier": 4}, + ] + ) + + +@pytest.fixture +def mock_router(four_tier_model_list): + """A MagicMock router preloaded with the four-tier model list.""" + router = MagicMock() + router.model_list = four_tier_model_list + return router + + +@pytest.fixture +def quality_router(mock_router) -> QualityRouter: + """Default QualityRouter wired to all four tiers.""" + config = { + "available_models": ["haiku", "sonnet", "opus", "opus-next"], + "complexity_to_quality": DEFAULT_COMPLEXITY_TO_QUALITY, + } + return QualityRouter( + model_name="quality-router-test", + litellm_router_instance=mock_router, + default_model="haiku", + quality_router_config=config, + ) + + +# ─── Tier index ───────────────────────────────────────────────────────────── + + +class TestTierIndex: + def test_builds_correct_tier_to_models_map(self, quality_router): + assert quality_router._tier_to_models == { + 1: ["haiku"], + 2: ["sonnet"], + 3: ["opus"], + 4: ["opus-next"], + } + + def test_ignores_models_not_in_available_models(self, four_tier_model_list): + # Add a model the config doesn't list — it should be ignored. + extra = _make_model_list([{"model_name": "ghost", "quality_tier": 5}]) + router = MagicMock() + router.model_list = four_tier_model_list + extra + + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="haiku", + quality_router_config={ + "available_models": ["haiku", "sonnet", "opus", "opus-next"] + }, + ) + + for models in qr._tier_to_models.values(): + assert "ghost" not in models + + def test_raises_when_routing_preferences_missing(self): + # `sonnet` is in available_models but has no preferences. + ml = _make_model_list( + [ + {"model_name": "haiku", "quality_tier": 1}, + {"model_name": "sonnet", "quality_tier": None}, + ] + ) + router = MagicMock() + router.model_list = ml + + # Construction succeeds (tier index is lazy); the error surfaces on + # first use so the router entry doesn't have to appear after all of + # its referenced models in config.yaml. + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="haiku", + quality_router_config={"available_models": ["haiku", "sonnet"]}, + ) + with pytest.raises(ValueError, match="sonnet"): + _ = qr._tier_to_models + + +# ─── Resolve model for quality tier ───────────────────────────────────────── + + +class TestResolveModelForQualityTier: + def test_exact_match(self, quality_router): + assert quality_router._resolve_model_for_quality_tier(2) == "sonnet" + assert quality_router._resolve_model_for_quality_tier(4) == "opus-next" + + def test_rounds_up_when_tier_missing(self, mock_router): + # Available tiers: 1, 3, 4. Asking for 2 should round up to 3. + spec = [ + {"model_name": "haiku", "quality_tier": 1}, + {"model_name": "opus", "quality_tier": 3}, + {"model_name": "opus-next", "quality_tier": 4}, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="haiku", + quality_router_config={"available_models": ["haiku", "opus", "opus-next"]}, + ) + + assert qr._resolve_model_for_quality_tier(2) == "opus" + + def test_rounds_down_when_no_higher_tier_exists(self): + # Only tier 1 available. Asking for tier 4 rounds up (nothing), then + # rounds DOWN to the closest lower tier — tier 1. + spec = [{"model_name": "haiku", "quality_tier": 1}] + router = MagicMock() + router.model_list = _make_model_list(spec) + + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="emergency-default", + quality_router_config={"available_models": ["haiku"]}, + ) + + assert qr._resolve_model_for_quality_tier(4) == "haiku" + + def test_rounds_down_prefers_closest_lower_tier(self): + # Available: 1, 2. Asking for 4 rounds down to tier 2 (not tier 1). + spec = [ + {"model_name": "haiku", "quality_tier": 1}, + {"model_name": "sonnet", "quality_tier": 2}, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="emergency-default", + quality_router_config={"available_models": ["haiku", "sonnet"]}, + ) + + assert qr._resolve_model_for_quality_tier(4) == "sonnet" + + def test_prefers_round_up_over_round_down(self): + # Available: 1, 3. Asking for 2 rounds UP to 3, not DOWN to 1. + spec = [ + {"model_name": "haiku", "quality_tier": 1}, + {"model_name": "opus", "quality_tier": 3}, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="emergency-default", + quality_router_config={"available_models": ["haiku", "opus"]}, + ) + + assert qr._resolve_model_for_quality_tier(2) == "opus" + + +# ─── RoutingPreferences validation ───────────────────────────────────────── + + +class TestRoutingPreferencesValidation: + def test_invalid_quality_tier_type_raises_clear_error(self): + # quality_tier must be an int — pass a non-coercible string. + ml = [ + { + "model_name": "haiku", + "litellm_params": {"model": "openai/gpt-4o-mini"}, + "model_info": { + "id": "id-haiku", + "litellm_routing_preferences": {"quality_tier": "not-an-int"}, + }, + } + ] + router = MagicMock() + router.model_list = ml + + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="haiku", + quality_router_config={"available_models": ["haiku"]}, + ) + with pytest.raises(ValueError, match="invalid litellm_routing_preferences"): + _ = qr._tier_to_models + + +# ─── Config-ordering independence (lazy index build) ─────────────────────── + + +class TestConfigOrderingIndependence: + def test_router_can_be_instantiated_before_its_targets_exist(self): + # Build a router instance whose referenced model_list is EMPTY at + # construction time (simulating a config where the router entry + # appears before its target deployments). The tier index must not be + # built eagerly — it's deferred until first use. + router = MagicMock() + router.model_list = [] # <- targets haven't been added yet + + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="haiku", + quality_router_config={"available_models": ["haiku", "sonnet", "opus"]}, + ) + + # Now the targets come online. This mirrors the incremental add by + # `Router._create_deployment`. + router.model_list = _make_model_list( + [ + {"model_name": "haiku", "quality_tier": 1}, + {"model_name": "sonnet", "quality_tier": 2}, + {"model_name": "opus", "quality_tier": 3}, + ] + ) + + # First access triggers the index build and sees the full list. + assert qr._tier_to_models == { + 1: ["haiku"], + 2: ["sonnet"], + 3: ["opus"], + } + + +# ─── Router.set_model_list resets quality_routers (hot reload) ───────────── + + +class TestSetModelListResetsQualityRouters: + def test_set_model_list_clears_quality_routers_registry(self): + from litellm.router import Router + + router = Router( + model_list=[ + { + "model_name": "haiku", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "api_key": "sk-test", + }, + "model_info": {"litellm_routing_preferences": {"quality_tier": 1}}, + }, + { + "model_name": "my-qr", + "litellm_params": { + "model": "auto_router/quality_router", + "quality_router_default_model": "haiku", + "quality_router_config": {"available_models": ["haiku"]}, + }, + }, + ] + ) + + assert "my-qr" in router.quality_routers + + # Hot-reload with a new model_list that doesn't define the router. + router.set_model_list( + [ + { + "model_name": "haiku", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "api_key": "sk-test", + }, + } + ] + ) + + # Stale router from before must be cleared. + assert "my-qr" not in router.quality_routers + + +# ─── Pre-routing hook ─────────────────────────────────────────────────────── + + +class TestPreRoutingHook: + @pytest.mark.asyncio + async def test_simple_message_routes_to_tier_1(self, quality_router): + messages = [{"role": "user", "content": "hi"}] + resp = await quality_router.async_pre_routing_hook( + model="quality-router-test", + request_kwargs={}, + messages=messages, + ) + assert resp is not None + assert resp.model == "haiku" + + @pytest.mark.asyncio + async def test_reasoning_message_routes_to_tier_4(self, quality_router): + # Two reasoning markers triggers ComplexityTier.REASONING → quality 4. + messages = [ + { + "role": "user", + "content": ( + "Think step by step and reason through this problem. " + "Analyze this carefully and break down each component." + ), + } + ] + resp = await quality_router.async_pre_routing_hook( + model="quality-router-test", + request_kwargs={}, + messages=messages, + ) + assert resp is not None + assert resp.model == "opus-next" + + @pytest.mark.asyncio + async def test_empty_messages_returns_none(self, quality_router): + resp = await quality_router.async_pre_routing_hook( + model="quality-router-test", + request_kwargs={}, + messages=[], + ) + assert resp is None + + @pytest.mark.asyncio + async def test_only_system_message_routes_to_default(self, quality_router): + messages = [{"role": "system", "content": "You are a helpful assistant."}] + resp = await quality_router.async_pre_routing_hook( + model="quality-router-test", + request_kwargs={}, + messages=messages, + ) + assert resp is not None + assert resp.model == "haiku" # the configured default_model + + +# ─── Keyword override ────────────────────────────────────────────────────── + + +@pytest.fixture +def keyword_router(): + """ + Router where multiple deployments declare overlapping keywords so we can + exercise the (quality DESC, price ASC) tiebreak. + + - cheap-coder tier 2, keywords [code, python], cost 0.000001 + - smart-coder tier 3, keywords [code, python], cost 0.000010 + - law-bot tier 2, keywords [legal, contract], cost 0.000005 + - default-haiku tier 1, no keywords, cost 0.0000005 + """ + spec = [ + { + "model_name": "default-haiku", + "quality_tier": 1, + "keywords": [], + "input_cost_per_token": 0.0000005, + }, + { + "model_name": "cheap-coder", + "quality_tier": 2, + "keywords": ["code", "python"], + "input_cost_per_token": 0.000001, + }, + { + "model_name": "smart-coder", + "quality_tier": 3, + "keywords": ["code", "python"], + "input_cost_per_token": 0.000010, + }, + { + "model_name": "law-bot", + "quality_tier": 2, + "keywords": ["legal", "contract"], + "input_cost_per_token": 0.000005, + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + return QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="default-haiku", + quality_router_config={ + "available_models": [ + "default-haiku", + "cheap-coder", + "smart-coder", + "law-bot", + ], + }, + ) + + +class TestKeywordOverride: + def test_no_keyword_in_message_returns_none(self, keyword_router): + assert keyword_router._keyword_override("hello there") is None + + def test_single_match_returns_that_model(self, keyword_router): + # Only law-bot declares "legal". + assert keyword_router._keyword_override("review this legal doc") == ( + "law-bot", + "legal", + ) + + def test_case_insensitive_match(self, keyword_router): + assert keyword_router._keyword_override("LEGAL question") == ( + "law-bot", + "legal", + ) + + def test_overlap_picks_highest_quality_tier(self, keyword_router): + # Both cheap-coder (tier 2) and smart-coder (tier 3) declare "code". + # Quality wins over price → smart-coder. + assert keyword_router._keyword_override("write some code for me") == ( + "smart-coder", + "code", + ) + + def test_same_tier_picks_cheapest(self): + # Two models at the same tier, both matching "data" — cheapest wins. + spec = [ + { + "model_name": "expensive", + "quality_tier": 2, + "keywords": ["data"], + "input_cost_per_token": 0.000050, + }, + { + "model_name": "cheap", + "quality_tier": 2, + "keywords": ["data"], + "input_cost_per_token": 0.000005, + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="cheap", + quality_router_config={"available_models": ["expensive", "cheap"]}, + ) + match = qr._keyword_override("show me the data") + assert match == ("cheap", "data") + + def test_unpriced_loses_to_priced_at_same_tier(self): + # Same quality tier, one has cost, one doesn't → priced wins. + spec = [ + { + "model_name": "no-price", + "quality_tier": 2, + "keywords": ["data"], + # input_cost_per_token deliberately omitted + }, + { + "model_name": "with-price", + "quality_tier": 2, + "keywords": ["data"], + "input_cost_per_token": 0.000005, + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="no-price", + quality_router_config={"available_models": ["no-price", "with-price"]}, + ) + match = qr._keyword_override("show me the data") + assert match == ("with-price", "data") + + @pytest.mark.asyncio + async def test_hook_short_circuits_complexity_on_keyword_match( + self, keyword_router + ): + # A reasoning-style prompt would normally route to a high-quality model + # via the complexity flow — but the keyword "code" should short-circuit + # to smart-coder (highest tier among "code" models). + messages = [ + { + "role": "user", + "content": ( + "Think step by step and reason through this code problem. " + "Analyze this carefully and break down each component." + ), + } + ] + request_kwargs: Dict[str, Any] = {} + resp = await keyword_router.async_pre_routing_hook( + model="qr", + request_kwargs=request_kwargs, + messages=messages, + ) + assert resp is not None + assert resp.model == "smart-coder" + + decision = request_kwargs["metadata"]["quality_router_decision"] + assert decision["routed_via"] == "keyword" + assert decision["matched_keyword"] == "code" + assert decision["complexity_tier"] is None # short-circuited + + def test_quality_wins_over_explicit_order(self): + # Quality always beats order. A tier-3 model with no `order` wins over + # a tier-2 model with `order=1`. + spec = [ + { + "model_name": "ordered-tier2", + "quality_tier": 2, + "keywords": ["code"], + "order": 1, + "input_cost_per_token": 0.000010, + }, + { + "model_name": "implicit-tier3", + "quality_tier": 3, + "keywords": ["code"], + "input_cost_per_token": 0.000005, + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="ordered-tier2", + quality_router_config={ + "available_models": ["ordered-tier2", "implicit-tier3"] + }, + ) + match = qr._keyword_override("write some code") + assert match == ("implicit-tier3", "code") + + def test_order_breaks_tie_within_same_quality_tier(self): + # Two tier-3 models, both match "code". Lower `order` wins. + spec = [ + { + "model_name": "preferred", + "quality_tier": 3, + "keywords": ["code"], + "order": 1, + "input_cost_per_token": 0.000050, # more expensive + }, + { + "model_name": "default-tier3", + "quality_tier": 3, + "keywords": ["code"], + "input_cost_per_token": 0.000005, # cheaper + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="default-tier3", + quality_router_config={"available_models": ["preferred", "default-tier3"]}, + ) + match = qr._keyword_override("write some code") + assert match == ("preferred", "code") + + def test_explicit_order_overrides_price(self): + # Same tier, but the more expensive one has a lower `order` and wins. + spec = [ + { + "model_name": "expensive-but-preferred", + "quality_tier": 2, + "keywords": ["data"], + "order": 1, + "input_cost_per_token": 0.000050, + }, + { + "model_name": "cheap-default", + "quality_tier": 2, + "keywords": ["data"], + "input_cost_per_token": 0.000005, + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="cheap-default", + quality_router_config={ + "available_models": ["expensive-but-preferred", "cheap-default"] + }, + ) + match = qr._keyword_override("show me the data") + assert match == ("expensive-but-preferred", "data") + + def test_lower_order_wins_between_two_explicitly_ordered(self): + spec = [ + { + "model_name": "second", + "quality_tier": 2, + "keywords": ["data"], + "order": 5, + }, + { + "model_name": "first", + "quality_tier": 2, + "keywords": ["data"], + "order": 1, + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="first", + quality_router_config={"available_models": ["first", "second"]}, + ) + match = qr._keyword_override("show me the data") + assert match == ("first", "data") + + def test_same_order_falls_through_to_quality_then_price(self): + # All three models share order=1 → tiebreak falls through to + # (quality DESC, cost ASC). + spec = [ + { + "model_name": "low-tier", + "quality_tier": 1, + "keywords": ["data"], + "order": 1, + "input_cost_per_token": 0.000001, + }, + { + "model_name": "high-tier-cheap", + "quality_tier": 3, + "keywords": ["data"], + "order": 1, + "input_cost_per_token": 0.000005, + }, + { + "model_name": "high-tier-expensive", + "quality_tier": 3, + "keywords": ["data"], + "order": 1, + "input_cost_per_token": 0.000050, + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="low-tier", + quality_router_config={ + "available_models": [ + "low-tier", + "high-tier-cheap", + "high-tier-expensive", + ] + }, + ) + match = qr._keyword_override("show me the data") + assert match == ("high-tier-cheap", "data") + + def test_order_is_used_in_tier_resolution_too(self): + # Two models at the same tier. Explicit `order=1` on the second one + # should make _resolve_model_for_quality_tier(2) pick it. + spec = [ + { + "model_name": "default-pick", + "quality_tier": 2, + }, + { + "model_name": "preferred-pick", + "quality_tier": 2, + "order": 1, + }, + ] + router = MagicMock() + router.model_list = _make_model_list(spec) + qr = QualityRouter( + model_name="qr", + litellm_router_instance=router, + default_model="default-pick", + quality_router_config={ + "available_models": ["default-pick", "preferred-pick"] + }, + ) + assert qr._resolve_model_for_quality_tier(2) == "preferred-pick" + + @pytest.mark.asyncio + async def test_hook_falls_back_to_complexity_when_no_keyword(self, keyword_router): + # No declared keyword in the message → complexity-based routing. + # "hi" is SIMPLE → quality 1 → default-haiku (the only tier-1 model). + messages = [{"role": "user", "content": "hi"}] + request_kwargs: Dict[str, Any] = {} + resp = await keyword_router.async_pre_routing_hook( + model="qr", + request_kwargs=request_kwargs, + messages=messages, + ) + assert resp is not None + assert resp.model == "default-haiku" + + decision = request_kwargs["metadata"]["quality_router_decision"] + assert decision["routed_via"] == "quality_tier" + assert decision["matched_keyword"] is None + assert decision["complexity_tier"] == "SIMPLE" + + +# ─── Routing-decision metadata (powers x-litellm-quality-router-* headers) ── + + +class TestDecisionMetadata: + @pytest.mark.asyncio + async def test_hook_stashes_decision_in_request_kwargs_metadata( + self, quality_router + ): + # Reasoning prompt → REASONING → quality tier 4 → opus-next. + messages = [ + { + "role": "user", + "content": ( + "Think step by step and reason through this problem. " + "Analyze this carefully and break down each component." + ), + } + ] + request_kwargs: Dict[str, Any] = {} + + resp = await quality_router.async_pre_routing_hook( + model="quality-router-test", + request_kwargs=request_kwargs, + messages=messages, + ) + assert resp is not None and resp.model == "opus-next" + + decision = request_kwargs["metadata"]["quality_router_decision"] + assert decision["routed_model"] == "opus-next" + assert decision["quality_tier"] == 4 + assert decision["complexity_tier"] == "REASONING" + assert decision["router_model_name"] == "quality-router-test" + assert decision["routed_via"] == "quality_tier" + assert decision["matched_keyword"] is None + + @pytest.mark.asyncio + async def test_decision_metadata_preserves_existing_metadata(self, quality_router): + request_kwargs: Dict[str, Any] = { + "metadata": {"trace_id": "abc-123", "user_id": "u-1"} + } + + await quality_router.async_pre_routing_hook( + model="quality-router-test", + request_kwargs=request_kwargs, + messages=[{"role": "user", "content": "hi"}], + ) + + # Existing metadata keys are intact and the decision is added alongside. + assert request_kwargs["metadata"]["trace_id"] == "abc-123" + assert request_kwargs["metadata"]["user_id"] == "u-1" + assert "quality_router_decision" in request_kwargs["metadata"] + + +# ─── Router.set_response_headers lifts decision into x-litellm-quality-* ──── + + +class TestSetResponseHeadersLiftsDecision: + """ + Verify the Router.set_response_headers helper turns a stashed quality-router + decision into x-litellm-quality-router-* headers on the response. + """ + + @pytest.mark.asyncio + async def test_lifts_decision_into_additional_headers(self): + from pydantic import BaseModel + + from litellm.router import Router + + class FakeResponse(BaseModel): + model_config = {"arbitrary_types_allowed": True} + _hidden_params: Dict[str, Any] = {} + + # Build a real Router with a tiny model_list — enough to satisfy + # set_response_headers without needing the rest of the router stack. + router = Router( + model_list=[ + { + "model_name": "haiku", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "api_key": "sk-test", + }, + } + ] + ) + + response = FakeResponse() + response._hidden_params = {} + + request_kwargs = { + "metadata": { + "quality_router_decision": { + "router_model_name": "qr", + "routed_model": "smart-coder", + "routed_via": "keyword", + "matched_keyword": "code", + "quality_tier": 3, + "complexity_tier": None, + } + } + } + + await router.set_response_headers( + response=response, + model_group="qr", + request_kwargs=request_kwargs, + ) + + headers = response._hidden_params["additional_headers"] + assert headers["x-litellm-quality-router-model"] == "smart-coder" + assert headers["x-litellm-quality-router-tier"] == "3" + assert headers["x-litellm-quality-router-via"] == "keyword" + assert headers["x-litellm-quality-router-keyword"] == "code" + # Keyword route short-circuits classification → no complexity header. + assert "x-litellm-quality-router-complexity" not in headers + # Existing x-litellm-model-group behavior is unchanged. + assert headers["x-litellm-model-group"] == "qr" + + @pytest.mark.asyncio + async def test_quality_tier_route_emits_complexity_not_keyword(self): + from pydantic import BaseModel + + from litellm.router import Router + + class FakeResponse(BaseModel): + model_config = {"arbitrary_types_allowed": True} + _hidden_params: Dict[str, Any] = {} + + router = Router( + model_list=[ + { + "model_name": "haiku", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "api_key": "sk-test", + }, + } + ] + ) + + response = FakeResponse() + response._hidden_params = {} + + request_kwargs = { + "metadata": { + "quality_router_decision": { + "router_model_name": "qr", + "routed_model": "haiku", + "routed_via": "quality_tier", + "matched_keyword": None, + "quality_tier": 1, + "complexity_tier": "SIMPLE", + } + } + } + + await router.set_response_headers( + response=response, + model_group="qr", + request_kwargs=request_kwargs, + ) + + headers = response._hidden_params["additional_headers"] + assert headers["x-litellm-quality-router-via"] == "quality_tier" + assert headers["x-litellm-quality-router-complexity"] == "SIMPLE" + # Quality-tier route → no keyword header. + assert "x-litellm-quality-router-keyword" not in headers + + @pytest.mark.asyncio + async def test_no_decision_leaves_quality_router_headers_unset(self): + from pydantic import BaseModel + + from litellm.router import Router + + class FakeResponse(BaseModel): + model_config = {"arbitrary_types_allowed": True} + _hidden_params: Dict[str, Any] = {} + + router = Router( + model_list=[ + { + "model_name": "haiku", + "litellm_params": { + "model": "openai/gpt-4o-mini", + "api_key": "sk-test", + }, + } + ] + ) + + response = FakeResponse() + response._hidden_params = {} + + await router.set_response_headers( + response=response, + model_group="haiku", + request_kwargs={}, # no quality_router_decision + ) + + headers = response._hidden_params["additional_headers"] + assert "x-litellm-quality-router-model" not in headers + assert "x-litellm-quality-router-tier" not in headers + + +class TestRouterQualityDeploymentMethods: + """Tests for Router._is_quality_router_deployment and Router.init_quality_router_deployment.""" + + def test_is_quality_router_deployment_true(self): + """_is_quality_router_deployment returns True for quality router models.""" + from litellm.router import Router + from litellm.types.router import LiteLLM_Params + + router = Router( + model_list=[ + { + "model_name": "gpt-4o-mini", + "litellm_params": {"model": "openai/gpt-4o-mini"}, + } + ] + ) + params = LiteLLM_Params(model="auto_router/quality_router/my-router") + assert router._is_quality_router_deployment(params) is True + + def test_is_quality_router_deployment_false(self): + """_is_quality_router_deployment returns False for regular models.""" + from litellm.router import Router + from litellm.types.router import LiteLLM_Params + + router = Router( + model_list=[ + { + "model_name": "gpt-4o-mini", + "litellm_params": {"model": "openai/gpt-4o-mini"}, + } + ] + ) + params = LiteLLM_Params(model="openai/gpt-4o-mini") + assert router._is_quality_router_deployment(params) is False + + def test_init_quality_router_deployment(self): + """init_quality_router_deployment registers a QualityRouter.""" + from litellm.router import Router + from litellm.types.router import Deployment, LiteLLM_Params + + router = Router( + model_list=[ + { + "model_name": "gpt-4o-mini", + "litellm_params": {"model": "openai/gpt-4o-mini"}, + } + ] + ) + deployment = Deployment( + model_name="auto_router/quality_router/test-router", + litellm_params=LiteLLM_Params( + model="auto_router/quality_router/test-router", + quality_router_default_model="gpt-4o-mini", + ), + model_info={"id": "test-id"}, + ) + router.init_quality_router_deployment(deployment) + assert "auto_router/quality_router/test-router" in router.quality_routers From 9deefc0f766837822e192154290091d8b57bf5bd Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 16:52:59 -0700 Subject: [PATCH 043/165] fix: align MCP broker endpoint access controls with existing auth patterns --- .../mcp_server/discoverable_endpoints.py | 8 +++++ .../mcp_management_endpoints.py | 30 +++++++++++++++---- .../test_mcp_management_endpoints.py | 8 ++--- 3 files changed, 37 insertions(+), 9 deletions(-) diff --git a/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py b/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py index 65e2e3e983d..792a9dace1e 100644 --- a/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py +++ b/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py @@ -323,6 +323,14 @@ async def authorize_with_server( ) parsed = urlparse(redirect_uri) + if parsed.scheme not in ("http", "https"): + raise HTTPException( + status_code=400, + detail={ + "error": "invalid_redirect_uri", + "message": "redirect_uri must use http or https scheme", + }, + ) base_url = urlunparse(parsed._replace(query="")) request_base_url = get_request_base_url(request) encoded_state = encode_state_with_base_url( diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py index 56bbfe03005..9cb5ec95ab9 100644 --- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py +++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py @@ -19,6 +19,7 @@ import functools import importlib import json import os +from urllib.parse import urlparse from dataclasses import dataclass from datetime import datetime, timedelta, timezone from typing import Any, Dict, Iterable, List, Literal, Optional @@ -1336,7 +1337,9 @@ if MCP_AVAILABLE: return _redact_mcp_credentials(temp_record) - def _get_cached_temporary_mcp_server_or_404(server_id: str) -> MCPServer: + def _get_cached_temporary_mcp_server_or_404( + server_id: str, request: Optional[Request] = None + ) -> MCPServer: server = get_cached_temporary_mcp_server(server_id) if server is None: # Fall back to real DB/config server (e.g. for the user-side OAuth flow @@ -1344,10 +1347,14 @@ if MCP_AVAILABLE: from litellm.proxy._experimental.mcp_server.mcp_server_manager import ( global_mcp_server_manager, ) + from litellm.proxy.auth.ip_address_utils import IPAddressUtils + client_ip = IPAddressUtils.get_mcp_client_ip(request) if request else None server = global_mcp_server_manager.get_mcp_server_by_id( server_id - ) or global_mcp_server_manager.get_mcp_server_by_name(server_id) + ) or global_mcp_server_manager.get_mcp_server_by_name( + server_id, client_ip=client_ip + ) if server is None: raise HTTPException( status_code=status.HTTP_404_NOT_FOUND, @@ -1358,10 +1365,12 @@ if MCP_AVAILABLE: @router.get( "/server/oauth/{server_id}/authorize", include_in_schema=False, + dependencies=[Depends(user_api_key_auth)], ) async def mcp_authorize( request: Request, server_id: str, + user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), client_id: Optional[str] = None, redirect_uri: str = Query(...), state: str = "", @@ -1370,7 +1379,16 @@ if MCP_AVAILABLE: response_type: Optional[str] = None, scope: Optional[str] = None, ): - mcp_server = _get_cached_temporary_mcp_server_or_404(server_id) + parsed_redirect = urlparse(redirect_uri) + if parsed_redirect.scheme not in ("http", "https"): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail={ + "error": "invalid_redirect_uri", + "message": "redirect_uri must use http or https scheme", + }, + ) + mcp_server = _get_cached_temporary_mcp_server_or_404(server_id, request=request) # Use the server's stored client_id when the caller doesn't supply one resolved_client_id = mcp_server.client_id or client_id or "" if not resolved_client_id: @@ -1399,10 +1417,12 @@ if MCP_AVAILABLE: @router.post( "/server/oauth/{server_id}/token", include_in_schema=False, + dependencies=[Depends(user_api_key_auth)], ) async def mcp_token( request: Request, server_id: str, + user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), grant_type: str = Form(...), code: Optional[str] = Form(None), redirect_uri: Optional[str] = Form(None), @@ -1412,7 +1432,7 @@ if MCP_AVAILABLE: refresh_token: Optional[str] = Form(None), scope: Optional[str] = Form(None), ): - mcp_server = _get_cached_temporary_mcp_server_or_404(server_id) + mcp_server = _get_cached_temporary_mcp_server_or_404(server_id, request=request) resolved_client_id = mcp_server.client_id or client_id or "" if not resolved_client_id: raise HTTPException( @@ -1443,7 +1463,7 @@ if MCP_AVAILABLE: include_in_schema=False, ) async def mcp_register(request: Request, server_id: str): - mcp_server = _get_cached_temporary_mcp_server_or_404(server_id) + mcp_server = _get_cached_temporary_mcp_server_or_404(server_id, request=request) request_data = await _read_request_body(request=request) data: dict = {**request_data} diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py index e8d31b49515..c1a1acb4331 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py @@ -1486,7 +1486,7 @@ class TestTemporaryMCPSessionEndpoints: ) assert result is authorize_response - get_server.assert_called_once_with("server-1") + get_server.assert_called_once_with("server-1", request=request) authorize_mock.assert_awaited_once_with( request=request, mcp_server=server, @@ -1533,7 +1533,7 @@ class TestTemporaryMCPSessionEndpoints: ) assert result is exchange_response - get_server.assert_called_once_with("server-1") + get_server.assert_called_once_with("server-1", request=request) exchange_mock.assert_awaited_once_with( request=request, mcp_server=server, @@ -1581,7 +1581,7 @@ class TestTemporaryMCPSessionEndpoints: ) assert result is exchange_response - get_server.assert_called_once_with("server-1") + get_server.assert_called_once_with("server-1", request=request) exchange_mock.assert_awaited_once_with( request=request, mcp_server=server, @@ -1628,7 +1628,7 @@ class TestTemporaryMCPSessionEndpoints: result = await mcp_register(request=request, server_id="server-1") assert result is register_response - get_server.assert_called_once_with("server-1") + get_server.assert_called_once_with("server-1", request=request) read_body.assert_awaited_once_with(request=request) register_mock.assert_awaited_once_with( request=request, From 7b43f5981fa60a0eae3218ffe9b2ce907d64900e Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 16:36:05 -0700 Subject: [PATCH 044/165] [Fix] CI: split test_proxy_utils.py into its own proxy-db matrix entry The "remaining" proxy-db job was consistently timing out at ~98% because --dist=loadscope pins every test in test_proxy_utils.py (168+ parametrized tests) to a single xdist worker. 7 workers finished their files in ~15 minutes, then one worker ran alone for another 8+ minutes and hit the 30-minute job cap. Give test_proxy_utils.py its own matrix entry so its tests spread across all 8 workers, and add it to the "remaining" ignore list. --- .github/workflows/test-unit-proxy-db.yml | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index 87e7e17feb7..a631a7c3005 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -31,8 +31,15 @@ jobs: test-path: "tests/proxy_unit_tests/test_auth_checks.py tests/proxy_unit_tests/test_user_api_key_auth.py" workers: 8 timeout: 20 + # test_proxy_utils.py is large (168+ parametrized tests) — run it on its + # own matrix so --dist=loadscope doesn't pin all of it to a single xdist + # worker and push the "remaining" group past the job timeout. + - test-group: proxy-utils + test-path: "tests/proxy_unit_tests/test_proxy_utils.py" + workers: 8 + timeout: 20 - test-group: remaining - test-path: "tests/proxy_unit_tests --ignore=tests/proxy_unit_tests/test_key_generate_prisma.py --ignore=tests/proxy_unit_tests/test_auth_checks.py --ignore=tests/proxy_unit_tests/test_user_api_key_auth.py" + test-path: "tests/proxy_unit_tests --ignore=tests/proxy_unit_tests/test_key_generate_prisma.py --ignore=tests/proxy_unit_tests/test_auth_checks.py --ignore=tests/proxy_unit_tests/test_user_api_key_auth.py --ignore=tests/proxy_unit_tests/test_proxy_utils.py" workers: 8 timeout: 30 uses: ./.github/workflows/_test-unit-services-base.yml From 99f007f51d9961a3818b43ecb2bb74e6d69a2418 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 16:59:54 -0700 Subject: [PATCH 045/165] refactor: consolidate redirect_uri scheme check into shared handler --- .../management_endpoints/mcp_management_endpoints.py | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py index 9cb5ec95ab9..8e54af0f96a 100644 --- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py +++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py @@ -19,7 +19,6 @@ import functools import importlib import json import os -from urllib.parse import urlparse from dataclasses import dataclass from datetime import datetime, timedelta, timezone from typing import Any, Dict, Iterable, List, Literal, Optional @@ -1379,15 +1378,6 @@ if MCP_AVAILABLE: response_type: Optional[str] = None, scope: Optional[str] = None, ): - parsed_redirect = urlparse(redirect_uri) - if parsed_redirect.scheme not in ("http", "https"): - raise HTTPException( - status_code=status.HTTP_400_BAD_REQUEST, - detail={ - "error": "invalid_redirect_uri", - "message": "redirect_uri must use http or https scheme", - }, - ) mcp_server = _get_cached_temporary_mcp_server_or_404(server_id, request=request) # Use the server's stored client_id when the caller doesn't supply one resolved_client_id = mcp_server.client_id or client_id or "" From b6de470ce97d0e7c2054d1640535ce86a4393aa8 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 17:00:34 -0700 Subject: [PATCH 046/165] fix: add access control to register endpoint to match authorize and token --- .../proxy/management_endpoints/mcp_management_endpoints.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py index 8e54af0f96a..f18e699045f 100644 --- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py +++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py @@ -1451,8 +1451,13 @@ if MCP_AVAILABLE: @router.post( "/server/oauth/{server_id}/register", include_in_schema=False, + dependencies=[Depends(user_api_key_auth)], ) - async def mcp_register(request: Request, server_id: str): + async def mcp_register( + request: Request, + server_id: str, + user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), + ): mcp_server = _get_cached_temporary_mcp_server_or_404(server_id, request=request) request_data = await _read_request_body(request=request) data: dict = {**request_data} From bcc093d8c58f1e5184423b8f841f43ba84add0eb Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 17:47:25 -0700 Subject: [PATCH 047/165] fix(adaptive_router): enforce satisfaction gate, stop false-flagging empty tool output MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - SessionState now carries clean_credit_awarded + last_processed_turn (matching the DB schema). Satisfaction only fires once per session AND only after MIN_TURNS_FOR_CLEAN_CREDIT turns of context — early "thanks" no longer inflates alpha. - _detect_failure no longer treats empty content as failure. Many tools legitimately return empty output (zero-result searches, silent bash); penalizing those corrupted the bandit posterior. Only is_error fires now. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../adaptive_router/signals.py | 25 +++++-- .../adaptive_router/test_adaptive_router.py | 30 +++++++- .../test_e2e_adaptive_router.py | 35 ++++++++++ .../adaptive_router/test_signals.py | 68 +++++++++++++++++++ 4 files changed, 151 insertions(+), 7 deletions(-) diff --git a/litellm/router_strategy/adaptive_router/signals.py b/litellm/router_strategy/adaptive_router/signals.py index bc67493bea6..edc3019fb4b 100644 --- a/litellm/router_strategy/adaptive_router/signals.py +++ b/litellm/router_strategy/adaptive_router/signals.py @@ -18,6 +18,7 @@ from typing import Any, Dict, List, Optional, Set from litellm.router_strategy.adaptive_router.config import ( LOOP_REPEAT_THRESHOLD, + MIN_TURNS_FOR_CLEAN_CREDIT, MISALIGNMENT_JACCARD_THRESHOLD, STAGNATION_JACCARD_NEAR_DUP, TOOL_CALL_HISTORY_MAX, @@ -80,6 +81,8 @@ class SessionState: pending_tool_calls: Dict[str, str] = field(default_factory=dict) turn_count: int = 0 + last_processed_turn: int = -1 + clean_credit_awarded: bool = False terminal_status: Optional[int] = None @@ -161,13 +164,15 @@ def _detect_satisfaction(curr_user: Optional[str]) -> bool: def _detect_failure(tool_results: List[Dict[str, Any]]) -> bool: - """Any tool result that's an error or empty content.""" + """Any tool result explicitly flagged as an error. + + We do NOT treat empty content as failure — many tools legitimately return + empty output (zero-result searches, silent bash commands, void writes) and + penalizing the model for those would corrupt the bandit posterior. + """ for r in tool_results: if r.get("is_error"): return True - content = r.get("content") - if content is None or content == "" or content == [] or content == {}: - return True return False @@ -238,7 +243,16 @@ def apply_turn(state: SessionState, turn: Turn) -> SignalDelta: if _detect_disengagement(turn.user_content): delta.disengagement = 1 if _detect_satisfaction(turn.user_content): - delta.satisfaction = 1 + # Gate: only award satisfaction credit once per session, and only + # after MIN_TURNS_FOR_CLEAN_CREDIT turns of context. Early "thanks" + # on turn 1-2 is noise, not a validated quality signal. + current_turn_index = state.turn_count + 1 + if ( + not state.clean_credit_awarded + and current_turn_index >= MIN_TURNS_FOR_CLEAN_CREDIT + ): + delta.satisfaction = 1 + state.clean_credit_awarded = True if _detect_failure(turn.tool_results): delta.failure = 1 if _detect_loop(state.tool_call_history, turn.tool_calls): @@ -268,5 +282,6 @@ def apply_turn(state: SessionState, turn: Turn) -> SignalDelta: state.terminal_status = turn.response_status state.turn_count += 1 + state.last_processed_turn = state.turn_count return delta diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py b/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py index 93f49398e2f..aed217cdc21 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py @@ -124,6 +124,16 @@ def test_claim_or_check_owner_expired_owner_reclaims_for_new_model(monkeypatch): @pytest.mark.asyncio async def test_record_turn_pushes_to_queue(): r = _make_router() + # Prime with 2 prior turns so satisfaction gate (MIN_TURNS_FOR_CLEAN_CREDIT=3) + # is satisfied when the "thanks" turn arrives. + for _ in range(2): + await r.record_turn( + session_id="s1", + model_name="fast", + request_type=RequestType.GENERAL, + turn=Turn(user_content="hi", assistant_content="hello"), + ) + r.queue.add_session_state = AsyncMock() r.queue.add_state_delta = AsyncMock() @@ -143,6 +153,24 @@ async def test_record_turn_pushes_to_queue(): @pytest.mark.asyncio async def test_record_turn_satisfaction_increments_alpha(): r = _make_router() + # Prime with 2 prior turns to clear the MIN_TURNS_FOR_CLEAN_CREDIT gate. + # Use distinct content to avoid incidentally firing stagnation/misalignment. + priming_turns = [ + Turn( + user_content="alpha bravo charlie", assistant_content="delta echo foxtrot" + ), + Turn( + user_content="golf hotel india juliet", + assistant_content="kilo lima mike november", + ), + ] + for t in priming_turns: + await r.record_turn( + session_id="sX", + model_name="fast", + request_type=RequestType.GENERAL, + turn=t, + ) cell_before = r._cells[(RequestType.GENERAL, "fast")] turn = Turn(user_content="that worked, thanks!") await r.record_turn( @@ -224,7 +252,6 @@ async def test_load_state_from_db_handles_unknown_request_type(): assert r._cells[(RequestType.WRITING, "fast")] == cold or True - # ---- Session state eviction --------------------------------------------- @@ -267,4 +294,3 @@ def test_session_state_expiry_is_refreshed_on_access(): second_exp = r._session_states_expiry[("sess-A", "fast")] assert second_exp > first_exp - diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_e2e_adaptive_router.py b/tests/test_litellm/router_strategy/adaptive_router/test_e2e_adaptive_router.py index bb0e8df0445..9786832b4ae 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_e2e_adaptive_router.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_e2e_adaptive_router.py @@ -67,6 +67,24 @@ async def test_pick_record_flush_full_cycle(): chosen = await router.pick_model(RequestType.CODE_GENERATION) assert chosen in router.config.available_models + # Prime 2 prior turns (distinct content so no other signals fire) so the + # MIN_TURNS_FOR_CLEAN_CREDIT satisfaction gate is satisfied on turn 3. + priming = [ + Turn( + user_content="alpha bravo charlie", assistant_content="delta echo foxtrot" + ), + Turn( + user_content="golf hotel india juliet", + assistant_content="kilo lima mike november", + ), + ] + for t in priming: + await router.record_turn( + session_id="s1", + model_name=chosen, + request_type=RequestType.CODE_GENERATION, + turn=t, + ) await router.record_turn( session_id="s1", model_name=chosen, @@ -226,6 +244,15 @@ async def test_load_state_from_db_handles_unknown_request_type(): @pytest.mark.asyncio async def test_flush_isolates_writes_per_router_session_model(): router = _make_router() + # Prime 2 prior turns per session to clear the MIN_TURNS_FOR_CLEAN_CREDIT gate. + for sid, model in (("s1", "gpt-4o"), ("s2", "gpt-4o-mini")): + for _ in range(2): + await router.record_turn( + sid, + model, + RequestType.GENERAL, + Turn(user_content="hi", assistant_content="hello"), + ) await router.record_turn( "s1", "gpt-4o", RequestType.GENERAL, Turn(user_content="thanks!") ) @@ -248,6 +275,14 @@ async def test_repeated_flush_drains_queue_and_subsequent_flush_is_noop(): """Verifies the queue is fully drained on flush -- a second flush writes nothing.""" router = _make_router() chosen = await router.pick_model(RequestType.GENERAL) + # Prime 2 prior turns so satisfaction can fire on the third turn. + for _ in range(2): + await router.record_turn( + "drain-1", + chosen, + RequestType.GENERAL, + Turn(user_content="hi", assistant_content="hello"), + ) await router.record_turn( "drain-1", chosen, RequestType.GENERAL, Turn(user_content="thanks!") ) diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_signals.py b/tests/test_litellm/router_strategy/adaptive_router/test_signals.py index bf09b1b16ff..2773c13a812 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_signals.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_signals.py @@ -97,6 +97,74 @@ def test_mixed_failure_then_satisfaction(): assert state.satisfaction_count >= 1 +def test_satisfaction_gated_by_min_turns_for_clean_credit(): + """'thanks' on turn 1 is noise, not a validated quality signal.""" + state = SessionState( + session_id="s", router_name="r", model_name="m", classified_type="general" + ) + apply_turn(state, Turn(user_content="thanks!")) + assert state.satisfaction_count == 0 + assert state.clean_credit_awarded is False + assert state.last_processed_turn == 1 + + +def test_satisfaction_credit_awarded_once_per_session(): + """Even multiple satisfaction turns only award +1 alpha across the session.""" + state = SessionState( + session_id="s", router_name="r", model_name="m", classified_type="general" + ) + apply_turn(state, Turn(user_content="hi", assistant_content="hello")) + apply_turn(state, Turn(user_content="help me", assistant_content="sure")) + apply_turn(state, Turn(user_content="perfect, thanks")) + assert state.satisfaction_count == 1 + assert state.clean_credit_awarded is True + apply_turn(state, Turn(user_content="great, thank you")) + assert state.satisfaction_count == 1 + + +def test_empty_tool_content_does_not_fire_failure(): + """Zero-result searches / silent commands return empty but valid output.""" + state = SessionState( + session_id="s", router_name="r", model_name="m", classified_type="general" + ) + apply_turn( + state, + Turn( + tool_calls=[{"name": "grep", "arguments": {"q": "x"}}], + tool_results=[{"tool_call_id": "c1", "content": ""}], + ), + ) + apply_turn( + state, + Turn( + tool_calls=[{"name": "list", "arguments": {}}], + tool_results=[{"tool_call_id": "c2", "content": []}], + ), + ) + apply_turn( + state, + Turn( + tool_calls=[{"name": "noop", "arguments": {}}], + tool_results=[{"tool_call_id": "c3", "content": None}], + ), + ) + assert state.failure_count == 0 + + +def test_is_error_still_fires_failure(): + state = SessionState( + session_id="s", router_name="r", model_name="m", classified_type="general" + ) + apply_turn( + state, + Turn( + tool_calls=[{"name": "read", "arguments": {"p": "x"}}], + tool_results=[{"tool_call_id": "c1", "content": "boom", "is_error": True}], + ), + ) + assert state.failure_count == 1 + + def test_apply_turn_is_o1_does_not_grow_history_unbounded(): state = SessionState( session_id="s", From bd3ee987b318f621047b84bd582fadad903b44d9 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Mon, 20 Apr 2026 17:53:52 -0700 Subject: [PATCH 048/165] fix(adaptive_router): bound owner cache, drop PK from upsert update, redact PII - _owner_cache now opportunistically sweeps expired entries past _OWNER_CACHE_SWEEP_THRESHOLD live entries. Previously sessions that never came back piled up forever. - flush_session_to_db strips session_id/router_name/model_name from the update payload. Prisma rejects writes to @@id fields. - record_turn no longer persists last_user_content / last_assistant_content / tool_call_history / pending_tool_calls. Those are needed only in-memory for the next turn's signal detection; writing user prompts and tool payloads to the DB would store PII for every conversation. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../adaptive_router_update_queue.py | 12 ++++++-- .../adaptive_router/adaptive_router.py | 26 +++++++++++++++++ .../adaptive_router/test_adaptive_router.py | 29 +++++++++++++++++++ 3 files changed, 65 insertions(+), 2 deletions(-) diff --git a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py b/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py index 7f5d9f78541..c76ca16aa35 100644 --- a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py +++ b/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py @@ -166,6 +166,14 @@ class AdaptiveRouterUpdateQueue: # NOTE: Prisma client lower-cases model names, so # `LiteLLM_AdaptiveRouterSession` -> `litellm_adaptiveroutersession` # (single 's', not 'litellm_adaptiverouterssession'). + # Strip PK fields from the update payload — Prisma rejects + # writes to fields that are part of the @@id. asdict(state) + # always carries them, so build a separate update dict. + update_payload = { + k: v + for k, v in payload.items() + if k not in ("session_id", "router_name", "model_name") + } await prisma_client.db.litellm_adaptiveroutersession.upsert( where={ "session_id_router_name_model_name": { @@ -179,9 +187,9 @@ class AdaptiveRouterUpdateQueue: "session_id": session_id, "router_name": router, "model_name": model, - **payload, + **update_payload, }, - "update": payload, + "update": update_payload, }, ) except Exception as e: diff --git a/litellm/router_strategy/adaptive_router/adaptive_router.py b/litellm/router_strategy/adaptive_router/adaptive_router.py index ae5e39d2ee0..1e8d02185d7 100644 --- a/litellm/router_strategy/adaptive_router/adaptive_router.py +++ b/litellm/router_strategy/adaptive_router/adaptive_router.py @@ -47,6 +47,8 @@ from litellm.router_strategy.adaptive_router.config import ( # Sweep session-state cache when it exceeds this many live entries. Expired # entries are dropped in bulk; amortizes to O(1) per insert. _SESSION_STATE_SWEEP_THRESHOLD: int = 1024 +# Same pattern for the owner cache. +_OWNER_CACHE_SWEEP_THRESHOLD: int = 1024 from litellm.router_strategy.adaptive_router.signals import ( SessionState, SignalDelta, @@ -228,6 +230,12 @@ class AdaptiveRouter: self._skipped_updates_total += 1 return False + # Opportunistic bulk sweep — sessions that never come back would + # otherwise pile up here forever. Same threshold pattern as the + # session-state cache. + if len(self._owner_cache) >= _OWNER_CACHE_SWEEP_THRESHOLD: + self._evict_expired_owner_cache(now) + # No live owner -> claim for current_model. self._owner_cache[session_key] = ( current_model, @@ -235,6 +243,11 @@ class AdaptiveRouter: ) return True + def _evict_expired_owner_cache(self, now: float) -> None: + expired = [k for k, (_, exp) in self._owner_cache.items() if exp <= now] + for k in expired: + self._owner_cache.pop(k, None) + async def get_state_snapshot(self) -> Dict[str, Any]: """In-memory snapshot for the introspection endpoint. Cheap; no DB hit.""" cells = [] @@ -361,7 +374,20 @@ class AdaptiveRouter: "AdaptiveRouter[%s]: record_turn delta=%s", self.router_name, delta ) + # Strip the raw conversation content before persisting. The + # last_user/assistant_content and tool_call_history fields are only + # needed in-memory for the next turn's incremental signal detection; + # writing user prompts and tool payloads to the DB would store PII + # for every adaptive-router conversation. Counts + bookkeeping is + # all the persisted row needs. snapshot = asdict(state) + for sensitive in ( + "last_user_content", + "last_assistant_content", + "tool_call_history", + "pending_tool_calls", + ): + snapshot.pop(sensitive, None) await self.queue.add_session_state( session_id, self.router_name, model_name, snapshot ) diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py b/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py index aed217cdc21..93c4db90dad 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_adaptive_router.py @@ -118,6 +118,25 @@ def test_claim_or_check_owner_expired_owner_reclaims_for_new_model(monkeypatch): assert r._skipped_updates_total == 0 +def test_owner_cache_evicts_expired_entries_when_threshold_crossed(monkeypatch): + """Past _OWNER_CACHE_SWEEP_THRESHOLD live entries, new claims sweep stale.""" + r = _make_router() + monkeypatch.setattr(ar_module, "_OWNER_CACHE_SWEEP_THRESHOLD", 5) + monkeypatch.setattr(ar_module.time, "time", lambda: 1_000.0) + for i in range(5): + r.claim_or_check_owner(f"old-{i}", "fast") + assert len(r._owner_cache) == 5 + + # Jump past TTL so all "old-*" entries are now expired. + monkeypatch.setattr( + ar_module.time, "time", lambda: 1_000.0 + OWNER_CACHE_TTL_SECONDS + 1 + ) + r.claim_or_check_owner("new-1", "fast") + # Sweep ran -> only the new entry remains. + assert "new-1" in r._owner_cache + assert all(k.startswith("new-") for k in r._owner_cache) + + # ---- record_turn -------------------------------------------------------- @@ -149,6 +168,16 @@ async def test_record_turn_pushes_to_queue(): # satisfaction fired -> alpha delta -> add_state_delta called r.queue.add_state_delta.assert_awaited_once() + # PII guard: raw conversation content must not be in the persisted snapshot. + snapshot = r.queue.add_session_state.call_args.args[3] + for sensitive in ( + "last_user_content", + "last_assistant_content", + "tool_call_history", + "pending_tool_calls", + ): + assert sensitive not in snapshot, f"{sensitive} leaked into DB payload" + @pytest.mark.asyncio async def test_record_turn_satisfaction_increments_alpha(): From ccf928361be6c36d8f5e6ac197775067cff442e4 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 17:59:05 -0700 Subject: [PATCH 049/165] [Infra] Speed up proxy unit tests by replacing litellm reload with state snapshot MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit tests/proxy_unit_tests/conftest.py was calling importlib.reload(litellm) in an autouse function-scoped fixture, which cost ~17s per test because it re-ran the full litellm __init__ import chain. With 400+ proxy unit tests, this was the single biggest driver of CI wall time — 18 of the top 20 slowest durations in a typical run were just the 17s fixture setup. Replace the reload with a snapshot-and-restore approach: snapshot the mutable lists/dicts/sets on litellm and litellm.proxy.proxy_server once at conftest import, then deep-copy that snapshot back before each test. Callback lists, caches, router state, etc. still get reset between tests, but the expensive import chain only runs once per worker. Local measurement on test_proxy_utils.py: 188 tests in 3.50s (previously took ~15 minutes of CI wall time on a single worker). --- tests/proxy_unit_tests/conftest.py | 81 +++++++++++++++++++++--------- 1 file changed, 56 insertions(+), 25 deletions(-) diff --git a/tests/proxy_unit_tests/conftest.py b/tests/proxy_unit_tests/conftest.py index 1421700c9a8..0cde5bdf28b 100644 --- a/tests/proxy_unit_tests/conftest.py +++ b/tests/proxy_unit_tests/conftest.py @@ -1,6 +1,7 @@ # conftest.py -import importlib +import asyncio +import copy import os import sys @@ -9,40 +10,70 @@ import pytest sys.path.insert( 0, os.path.abspath("../..") ) # Adds the parent directory to the system path + import litellm +import litellm.proxy.proxy_server + + +def _snapshot_mutable_state(module): + """Deep-copy every list/dict/set module attribute for later restore. + + Classes, functions, submodules and primitives are skipped — only the + collections that tests mutate (callbacks, caches, routers, etc.) need + per-test isolation. + """ + snapshot = {} + for attr in list(vars(module)): + if attr.startswith("_"): + continue + try: + value = getattr(module, attr) + except Exception: + continue + if isinstance(value, (list, dict, set)): + try: + snapshot[attr] = copy.deepcopy(value) + except Exception: + # Unpickleable collections (e.g. holding open clients) can't + # round-trip through deepcopy; skip them rather than crash. + pass + return snapshot + + +def _restore_mutable_state(module, snapshot): + for attr, default in snapshot.items(): + try: + setattr(module, attr, copy.deepcopy(default)) + except Exception: + pass + + +# Snapshot once at conftest import — these are the "clean" module states. +_LITELLM_STATE = _snapshot_mutable_state(litellm) +_PROXY_SERVER_STATE = _snapshot_mutable_state(litellm.proxy.proxy_server) @pytest.fixture(scope="function", autouse=True) def setup_and_teardown(): """ - This fixture reloads litellm before every function. To speed up testing by removing callbacks being chained. + Reset mutable module state on litellm and proxy_server before every test. + + Replaces a previous importlib.reload(litellm) approach that cost ~17s + per test (re-executing the full litellm __init__ import chain). The + snapshot-and-restore below only touches collections that actually leak + across tests — callbacks, caches, router, etc. — and is effectively + instantaneous. """ - curr_dir = os.getcwd() # Get the current working directory - sys.path.insert( - 0, os.path.abspath("../..") - ) # Adds the project directory to the system path - - import litellm - from litellm import Router - - importlib.reload(litellm) - try: - if hasattr(litellm, "proxy") and hasattr(litellm.proxy, "proxy_server"): - importlib.reload(litellm.proxy.proxy_server) - except Exception as e: - print(f"Error reloading litellm.proxy.proxy_server: {e}") - - import asyncio + _restore_mutable_state(litellm, _LITELLM_STATE) + _restore_mutable_state(litellm.proxy.proxy_server, _PROXY_SERVER_STATE) loop = asyncio.get_event_loop_policy().new_event_loop() asyncio.set_event_loop(loop) - print(litellm) - # from litellm import Router, completion, aembedding, acompletion, embedding - yield - - # Teardown code (executes after the yield point) - loop.close() # Close the loop created earlier - asyncio.set_event_loop(None) # Remove the reference to the loop + try: + yield + finally: + loop.close() + asyncio.set_event_loop(None) def pytest_collection_modifyitems(config, items): From c770756cf3c82292e2bc561caf27342b6287c9a8 Mon Sep 17 00:00:00 2001 From: shivam Date: Mon, 20 Apr 2026 19:42:51 -0700 Subject: [PATCH 050/165] fix(bedrock_guardrails): route apply_guardrail to OUTPUT for response scans BedrockGuardrail.apply_guardrail hardcoded source="INPUT" regardless of the input_type parameter. On the non-streaming post-call path (unified_guardrail -> OpenAIChatCompletionsHandler.process_output_response -> apply_guardrail), the model response text was sent to Bedrock as INPUT, so guardrail policies configured for Output (e.g. PII/NAME blocking) returned action=NONE and the response passed through unblocked. The streaming path was unaffected because it calls make_bedrock_api_request(source="OUTPUT", ...) directly. Map input_type to the correct Bedrock source ("request" -> INPUT, "response" -> OUTPUT) and build a synthetic ModelResponse for the OUTPUT path so _create_bedrock_output_content_request produces the correct payload. Made-with: Cursor --- .../guardrail_hooks/bedrock_guardrails.py | 41 +++++++++++++++++-- 1 file changed, 37 insertions(+), 4 deletions(-) diff --git a/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py b/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py index 25b46cf3641..77b2f466f2a 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py +++ b/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py @@ -62,6 +62,7 @@ from litellm.types.utils import ( CallTypesLiteral, Choices, GuardrailStatus, + Message, ModelResponse, ModelResponseStream, StreamingChoices, @@ -1563,11 +1564,43 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): # Bedrock will throw an error if there is no text to process if filtered_messages: - bedrock_response = await self.make_bedrock_api_request( - source="INPUT", - messages=filtered_messages, - request_data=request_data, + # Map the abstract input_type to the Bedrock source parameter. + # "request" -> INPUT (scan user-supplied content) + # "response" -> OUTPUT (scan model-generated content) + # Bedrock guardrail policies are often configured differently + # for Input vs Output (e.g. PII blocking only on Output), so + # the source MUST match where the text originated. + bedrock_source: Literal["INPUT", "OUTPUT"] = ( + "OUTPUT" if input_type == "response" else "INPUT" ) + if bedrock_source == "OUTPUT": + # Build a synthetic ModelResponse whose choices carry the + # text(s) to scan, so _create_bedrock_output_content_request + # can produce the correct Bedrock OUTPUT payload. + synthetic_response = ModelResponse( + choices=[ + Choices( + index=_idx, + message=Message( + role="assistant", + content=str(_msg.get("content") or ""), + ), + finish_reason="stop", + ) + for _idx, _msg in enumerate(filtered_messages) + ] + ) + bedrock_response = await self.make_bedrock_api_request( + source="OUTPUT", + response=synthetic_response, + request_data=request_data, + ) + else: + bedrock_response = await self.make_bedrock_api_request( + source="INPUT", + messages=filtered_messages, + request_data=request_data, + ) # Apply any masking that was applied by the guardrail output_list = bedrock_response.get("output") From 6beba97d2019c35129405e262b75d73d8276a809 Mon Sep 17 00:00:00 2001 From: shivam Date: Mon, 20 Apr 2026 19:53:49 -0700 Subject: [PATCH 051/165] test(bedrock_guardrails): assert apply_guardrail maps response to OUTPUT source Add regression tests that mock make_bedrock_api_request and verify input_type=request uses source=INPUT with user messages, and input_type=response uses source=OUTPUT with synthetic ModelResponse. Made-with: Cursor --- .../test_bedrock_guardrails.py | 67 +++++++++++++++++++ 1 file changed, 67 insertions(+) diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py index 1d46012382f..7d454eb6fe8 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py @@ -17,6 +17,7 @@ from litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails import ( BedrockGuardrail, _redact_pii_matches, ) +from litellm.types.utils import ModelResponse @pytest.mark.asyncio @@ -1113,6 +1114,72 @@ async def test_bedrock_apply_guardrail_with_only_tool_calls_response(): print("✅ apply_guardrail with tool_calls test passed - no API call made") +@pytest.mark.asyncio +async def test_bedrock_apply_guardrail_response_uses_OUTPUT_source(): + """input_type='response' must call Bedrock with source=OUTPUT and assistant content. + + Regression: apply_guardrail used to always use source=INPUT. Output-only Bedrock + policies (e.g. PII on model output) then returned action=NONE for non-streaming + completions that go through unified_guardrail -> process_output_response. + """ + guardrail = BedrockGuardrail( + guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" + ) + bedrock_none = {"action": "NONE", "output": [], "outputs": []} + + with patch.object( + guardrail, "make_bedrock_api_request", new_callable=AsyncMock + ) as mock_api: + mock_api.return_value = bedrock_none + + await guardrail.apply_guardrail( + inputs={"texts": ["first line", "second line"]}, + request_data={"model": "gpt-4o"}, + input_type="response", + ) + + mock_api.assert_called_once() + kwargs = mock_api.call_args.kwargs + assert kwargs["source"] == "OUTPUT" + assert kwargs["request_data"] == {"model": "gpt-4o"} + synthetic = kwargs["response"] + assert isinstance(synthetic, ModelResponse) + assert len(synthetic.choices) == 2 + assert synthetic.choices[0].message.content == "first line" + assert synthetic.choices[0].message.role == "assistant" + assert synthetic.choices[1].message.content == "second line" + assert synthetic.choices[1].message.role == "assistant" + + +@pytest.mark.asyncio +async def test_bedrock_apply_guardrail_request_uses_INPUT_source(): + """input_type='request' must call Bedrock with source=INPUT and user messages.""" + guardrail = BedrockGuardrail( + guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" + ) + bedrock_none = {"action": "NONE", "output": [], "outputs": []} + + with patch.object( + guardrail, "make_bedrock_api_request", new_callable=AsyncMock + ) as mock_api: + mock_api.return_value = bedrock_none + + await guardrail.apply_guardrail( + inputs={"texts": ["user prompt"]}, + request_data={}, + input_type="request", + ) + + mock_api.assert_called_once() + kwargs = mock_api.call_args.kwargs + assert kwargs["source"] == "INPUT" + assert kwargs["messages"] is not None + assert len(kwargs["messages"]) == 1 + assert kwargs["messages"][0]["role"] == "user" + assert kwargs["messages"][0]["content"] == "user prompt" + assert kwargs.get("response") is None + + @pytest.mark.asyncio async def test_bedrock_guardrail_blocked_content_with_masking_enabled(): """Test that BLOCKED content raises exception even when masking is enabled From 5411ebedae0f77ed0832289ae877a75a1cca836f Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 21:03:07 -0700 Subject: [PATCH 052/165] [Fix] conftest snapshot: also reset scalar module attributes MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The previous snapshot only tracked list/dict/set values. Tests mutate scalar module attrs too — master_key, premium_user, prisma_client — and importlib.reload used to reset those implicitly. Under the snapshot approach they were leaking between tests, so test_active_callbacks failed in CI with "No api key passed in." once an earlier test left master_key set to sk-1234. Expand the snapshot to cover primitives (str/int/float/bool/bytes/tuple) and None-valued attributes. Complex object instances are still skipped to avoid deepcopy issues. --- tests/proxy_unit_tests/conftest.py | 21 +++++++++++++-------- 1 file changed, 13 insertions(+), 8 deletions(-) diff --git a/tests/proxy_unit_tests/conftest.py b/tests/proxy_unit_tests/conftest.py index 0cde5bdf28b..544b6a0b421 100644 --- a/tests/proxy_unit_tests/conftest.py +++ b/tests/proxy_unit_tests/conftest.py @@ -15,12 +15,17 @@ import litellm import litellm.proxy.proxy_server -def _snapshot_mutable_state(module): - """Deep-copy every list/dict/set module attribute for later restore. +_SNAPSHOT_TYPES = (list, dict, set, tuple, str, int, float, bool, bytes) - Classes, functions, submodules and primitives are skipped — only the - collections that tests mutate (callbacks, caches, routers, etc.) need - per-test isolation. + +def _snapshot_mutable_state(module): + """Snapshot every module attribute that importlib.reload would have reset. + + Covers the top-level assignments that tests mutate — collections + (callbacks, caches, general_settings) plus scalar flags (master_key, + premium_user, etc.) that gate auth and feature behavior. Classes, + functions, submodules and complex object instances are skipped: those + either aren't meant to be reset or can't round-trip through deepcopy. """ snapshot = {} for attr in list(vars(module)): @@ -30,12 +35,12 @@ def _snapshot_mutable_state(module): value = getattr(module, attr) except Exception: continue - if isinstance(value, (list, dict, set)): + if value is None or isinstance(value, _SNAPSHOT_TYPES): try: snapshot[attr] = copy.deepcopy(value) except Exception: - # Unpickleable collections (e.g. holding open clients) can't - # round-trip through deepcopy; skip them rather than crash. + # Skip anything that can't round-trip through deepcopy + # rather than crash collection. pass return snapshot From 0f5d503169aaad1f8bb3b221978c8030449b669b Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 22:09:54 -0700 Subject: [PATCH 053/165] fix(ci): make e2e_ui_testing actually test the freshly built UI bundle MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The Build UI from source step used: cp -r out/ ../../litellm/proxy/_experimental/out/ GNU cp (CircleCI's Ubuntu image, coreutils 8.32) interprets this as copy the source directory as a CHILD of the destination when the destination already exists — so the command silently created litellm/proxy/_experimental/out/out/ instead of replacing the served bundle at litellm/proxy/_experimental/out/*. The proxy continued serving whatever bundle was checked in, so every e2e_ui_testing run between this job's introduction (d09d98a70a, 2026-04-08) and the bundle-rebuild commit (de790fd273, 2026-04-18) was effectively testing a STALE bundle — not the fresh build. That is why the double-prefix regression (NEXT_PUBLIC_BASE_URL="ui/" combined with networking.tsx reading the env var) was never caught in CI even though the source contained the trigger the whole time: the bundle the proxy served never picked up the source change. Replace cp -r with rm + mv so the destination is cleanly swapped. Verified end-to-end on an Ubuntu 22.04 / GNU coreutils 8.32 container: - Before fix: fresh build has 9 "ui/" literals in chunks; after cp, _experimental/out/* still has 0 (stale); _experimental/out/out/ is a nested dir the proxy does not serve. - After fix: _experimental/out/* has 9 "ui/" literals — the proxy now serves the freshly built (broken, in this repro) bundle, so globalSetup fails at login and every spec is blocked. Removing the bug from .env.production and rebuilding brings the count back to 0 and the suite passes. No spec changes, no fixtures, no new infrastructure. The existing Playwright suite already catches this class of regression via the login flow in globalSetup; it just needs the CI to actually hand it the freshly built bundle. --- .circleci/config.yml | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 9b976462b13..8c75bdc5f33 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -3051,10 +3051,19 @@ jobs: - ui/litellm-dashboard/node_modules - run: name: Build UI from source + # Prior version used `cp -r out/ ../../litellm/proxy/_experimental/out/`. + # GNU cp (used on CircleCI's Ubuntu image) interprets that as "copy the + # source directory as a child of the destination" when the destination + # already exists — silently creating `_experimental/out/out/` instead of + # replacing the served bundle. The proxy continued serving whatever was + # checked into `_experimental/out/*`, so this job was effectively testing + # the pre-build bundle on every run. Replace-and-move guarantees the + # freshly built bundle is what the proxy actually serves. command: | cd ui/litellm-dashboard npm run build - cp -r out/ ../../litellm/proxy/_experimental/out/ + rm -rf ../../litellm/proxy/_experimental/out + mv out ../../litellm/proxy/_experimental/out # Restructure HTML so extensionless routes work (login.html -> login/index.html) find ../../litellm/proxy/_experimental/out -name '*.html' ! -name 'index.html' | while read -r f; do d="${f%.html}"; mkdir -p "$d"; mv "$f" "$d/index.html" From 4b3f5d7f81d38e2019882a63bbe91411b2e31065 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Mon, 20 Apr 2026 22:19:36 -0700 Subject: [PATCH 054/165] [Fix] conftest: flush cache instances and warn on silent skips MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Addresses review feedback on the snapshot approach: 1. Class-instance mutable state The snapshot only covers primitives + collections + None. Class instances (DualCache, LLMClientCache) weren't reset between tests, so in-place cache mutations could leak. Can't deepcopy these — they hold thread locks — but they expose flush_cache(). Collect every module attribute whose value implements flush_cache() at conftest import, and invoke it per-test alongside the snapshot restore. 2. Silent skips are now warnings _snapshot_mutable_state and _restore_mutable_state previously swallowed exceptions, so if a future attr gained a property without a setter (or other non-round-trippable state), an isolation gap would have no signal. Emit warnings.warn on each failure path. 3. Docstring Explicitly documents what IS and IS NOT reset, and tells authors to use monkeypatch.setattr() for in-place mutations of instances without flush_cache() (ProxyLogging, JWTHandler, etc.). --- tests/proxy_unit_tests/conftest.py | 99 ++++++++++++++++++++++++------ 1 file changed, 79 insertions(+), 20 deletions(-) diff --git a/tests/proxy_unit_tests/conftest.py b/tests/proxy_unit_tests/conftest.py index 544b6a0b421..a0326f64ed7 100644 --- a/tests/proxy_unit_tests/conftest.py +++ b/tests/proxy_unit_tests/conftest.py @@ -2,8 +2,10 @@ import asyncio import copy +import inspect import os import sys +import warnings import pytest @@ -15,33 +17,34 @@ import litellm import litellm.proxy.proxy_server +# Top-level assignments of these types are the ones importlib.reload(litellm) +# would have effectively reset. We snapshot them at conftest import time and +# deep-copy the snapshot back before every test. _SNAPSHOT_TYPES = (list, dict, set, tuple, str, int, float, bool, bytes) def _snapshot_mutable_state(module): - """Snapshot every module attribute that importlib.reload would have reset. - - Covers the top-level assignments that tests mutate — collections - (callbacks, caches, general_settings) plus scalar flags (master_key, - premium_user, etc.) that gate auth and feature behavior. Classes, - functions, submodules and complex object instances are skipped: those - either aren't meant to be reset or can't round-trip through deepcopy. - """ + """Capture a per-module snapshot of primitive and collection attributes.""" snapshot = {} for attr in list(vars(module)): if attr.startswith("_"): continue try: value = getattr(module, attr) - except Exception: + except Exception as exc: + warnings.warn( + f"conftest: could not read {module.__name__}.{attr} during snapshot: {exc}", + stacklevel=2, + ) continue if value is None or isinstance(value, _SNAPSHOT_TYPES): try: snapshot[attr] = copy.deepcopy(value) - except Exception: - # Skip anything that can't round-trip through deepcopy - # rather than crash collection. - pass + except Exception as exc: + warnings.warn( + f"conftest: could not snapshot {module.__name__}.{attr}: {exc}", + stacklevel=2, + ) return snapshot @@ -49,28 +52,84 @@ def _restore_mutable_state(module, snapshot): for attr, default in snapshot.items(): try: setattr(module, attr, copy.deepcopy(default)) + except Exception as exc: + warnings.warn( + f"conftest: could not restore {module.__name__}.{attr}: {exc}", + stacklevel=2, + ) + + +def _collect_flushable_caches(): + """Return (module, attr) pairs whose values expose flush_cache().""" + targets = [] + for module in (litellm, litellm.proxy.proxy_server): + for attr in list(vars(module)): + if attr.startswith("_"): + continue + try: + value = getattr(module, attr) + except Exception: + continue + # Only instances — a class reference has an unbound flush_cache + # that can't be called without a self argument. + if inspect.isclass(value) or inspect.ismodule(value): + continue + if callable(getattr(value, "flush_cache", None)): + targets.append((module, attr)) + return targets + + +def _flush_caches(targets): + for module, attr in targets: + try: + value = getattr(module, attr) except Exception: - pass + continue + flush = getattr(value, "flush_cache", None) + if callable(flush): + try: + flush() + except Exception as exc: + warnings.warn( + f"conftest: flush_cache failed on {module.__name__}.{attr}: {exc}", + stacklevel=2, + ) # Snapshot once at conftest import — these are the "clean" module states. _LITELLM_STATE = _snapshot_mutable_state(litellm) _PROXY_SERVER_STATE = _snapshot_mutable_state(litellm.proxy.proxy_server) +_FLUSHABLE_CACHES = _collect_flushable_caches() @pytest.fixture(scope="function", autouse=True) def setup_and_teardown(): - """ - Reset mutable module state on litellm and proxy_server before every test. + """Reset mutable module state on litellm and proxy_server before each test. Replaces a previous importlib.reload(litellm) approach that cost ~17s - per test (re-executing the full litellm __init__ import chain). The - snapshot-and-restore below only touches collections that actually leak - across tests — callbacks, caches, router, etc. — and is effectively - instantaneous. + per test (re-executing the full litellm __init__ import chain). + + What IS reset: + - Top-level module attributes of type list / dict / set / tuple + / str / int / float / bool / bytes, and None-valued attributes. + These cover callback lists, general_settings, master_key, + premium_user, prisma_client, etc. — anything the old reload() reset + by re-executing the module body. + - Any module-level object instance that exposes flush_cache() (the + DualCache and LLMClientCache family), which handles cache state + that can't round-trip through deepcopy because of internal locks. + + What is NOT reset: + - Class instances without flush_cache() (e.g. ProxyLogging, + JWTHandler, FastAPI routers, loggers). If a test mutates such an + instance in-place (setattr on the instance, appending to one of + its internal lists, etc.), the mutation will leak into later tests. + Use pytest's monkeypatch.setattr() or a local fixture for those + cases — don't rely on this autouse fixture to undo them. """ _restore_mutable_state(litellm, _LITELLM_STATE) _restore_mutable_state(litellm.proxy.proxy_server, _PROXY_SERVER_STATE) + _flush_caches(_FLUSHABLE_CACHES) loop = asyncio.get_event_loop_policy().new_event_loop() asyncio.set_event_loop(loop) From dff4bfd735946e1006d33adef0286e557b6f0b62 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Tue, 21 Apr 2026 14:54:18 +0530 Subject: [PATCH 055/165] fix(image_edit): forward litellm_params to validate_environment for Vertex AI credentials When aimage_edit or image_edit was called with Vertex AI Gemini/Imagen models via YAML-style config (vertex_project / vertex_credentials in proxy YAML), the credentials were dropped during handler-to-config plumbing, causing fallback to Application Default Credentials and DefaultCredentialsError. Root cause: image_edit_handler and async_image_edit_handler did not pass litellm_params to validate_environment, unlike image_generation_handler. Fixes: 1. Widen BaseImageEditConfig.validate_environment signature to accept litellm_params and api_base (optional kwargs). 2. Forward dict(litellm_params) and litellm_params.api_base from both sync and async image_edit handlers to validate_environment. 3. Update VertexAIImagenImageEditConfig.validate_environment to read vertex_ai_project/vertex_ai_credentials from litellm_params first, matching Gemini config pattern (secondary latent bug fix). 4. Widen all image-edit config override signatures to match base. Made-with: Cursor --- .../llms/azure/image_edit/transformation.py | 2 ++ .../image_edit/flux2_transformation.py | 2 ++ .../llms/azure_ai/image_edit/transformation.py | 2 ++ .../llms/base_llm/image_edit/transformation.py | 2 ++ ...on_nova_canvas_image_edit_transformation.py | 2 ++ .../image_edit/stability_transformation.py | 2 ++ .../image_edit/transformation.py | 2 ++ litellm/llms/custom_httpx/llm_http_handler.py | 4 ++++ .../llms/gemini/image_edit/transformation.py | 2 ++ .../litellm_proxy/image_edit/transformation.py | 7 ++++++- .../llms/openai/image_edit/transformation.py | 2 ++ .../openrouter/image_edit/transformation.py | 2 ++ .../llms/recraft/image_edit/transformation.py | 2 ++ .../stability/image_edit/transformations.py | 2 ++ .../image_edit/vertex_imagen_transformation.py | 18 ++++++++++++++++-- .../images/test_image_edit_utils.py | 9 +++++++-- 16 files changed, 57 insertions(+), 5 deletions(-) diff --git a/litellm/llms/azure/image_edit/transformation.py b/litellm/llms/azure/image_edit/transformation.py index f476d6a94ee..dffa1c9eea5 100644 --- a/litellm/llms/azure/image_edit/transformation.py +++ b/litellm/llms/azure/image_edit/transformation.py @@ -14,6 +14,8 @@ class AzureImageEditConfig(OpenAIImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: api_key = ( api_key diff --git a/litellm/llms/azure_ai/image_edit/flux2_transformation.py b/litellm/llms/azure_ai/image_edit/flux2_transformation.py index 0de163a7714..1bc3bdcddc1 100644 --- a/litellm/llms/azure_ai/image_edit/flux2_transformation.py +++ b/litellm/llms/azure_ai/image_edit/flux2_transformation.py @@ -65,6 +65,8 @@ class AzureFoundryFlux2ImageEditConfig(OpenAIImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: """ Validate Azure AI Foundry environment and set up authentication diff --git a/litellm/llms/azure_ai/image_edit/transformation.py b/litellm/llms/azure_ai/image_edit/transformation.py index 930b6d4db90..e778348c75b 100644 --- a/litellm/llms/azure_ai/image_edit/transformation.py +++ b/litellm/llms/azure_ai/image_edit/transformation.py @@ -25,6 +25,8 @@ class AzureFoundryFluxImageEditConfig(OpenAIImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: """ Validate Azure AI Foundry environment and set up authentication diff --git a/litellm/llms/base_llm/image_edit/transformation.py b/litellm/llms/base_llm/image_edit/transformation.py index b088cdf37f6..cea96bde74d 100644 --- a/litellm/llms/base_llm/image_edit/transformation.py +++ b/litellm/llms/base_llm/image_edit/transformation.py @@ -67,6 +67,8 @@ class BaseImageEditConfig(ABC): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: return {} diff --git a/litellm/llms/bedrock/image_edit/amazon_nova_canvas_image_edit_transformation.py b/litellm/llms/bedrock/image_edit/amazon_nova_canvas_image_edit_transformation.py index f806cd2a81a..836a3c606ee 100644 --- a/litellm/llms/bedrock/image_edit/amazon_nova_canvas_image_edit_transformation.py +++ b/litellm/llms/bedrock/image_edit/amazon_nova_canvas_image_edit_transformation.py @@ -483,6 +483,8 @@ class BedrockAmazonNovaCanvasImageEditConfig(BaseImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: if headers is None: headers = {} diff --git a/litellm/llms/bedrock/image_edit/stability_transformation.py b/litellm/llms/bedrock/image_edit/stability_transformation.py index 6a8b95e7e39..2d73e47003d 100644 --- a/litellm/llms/bedrock/image_edit/stability_transformation.py +++ b/litellm/llms/bedrock/image_edit/stability_transformation.py @@ -372,6 +372,8 @@ class BedrockStabilityImageEditConfig(BaseImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: """ Validate environment for Bedrock Stability image edit. diff --git a/litellm/llms/black_forest_labs/image_edit/transformation.py b/litellm/llms/black_forest_labs/image_edit/transformation.py index c6d8e8298e3..4d19885aac8 100644 --- a/litellm/llms/black_forest_labs/image_edit/transformation.py +++ b/litellm/llms/black_forest_labs/image_edit/transformation.py @@ -123,6 +123,8 @@ class BlackForestLabsImageEditConfig(BaseImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: """ Validate environment and set up headers for Black Forest Labs. diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py index ea0c05e7656..de215b9ae56 100644 --- a/litellm/llms/custom_httpx/llm_http_handler.py +++ b/litellm/llms/custom_httpx/llm_http_handler.py @@ -5216,6 +5216,8 @@ class BaseLLMHTTPHandler: api_key=litellm_params.api_key, headers=image_edit_optional_request_params.get("extra_headers", {}) or {}, model=model, + litellm_params=dict(litellm_params), + api_base=litellm_params.api_base, ) if extra_headers: @@ -5312,6 +5314,8 @@ class BaseLLMHTTPHandler: api_key=litellm_params.api_key, headers=image_edit_optional_request_params.get("extra_headers", {}) or {}, model=model, + litellm_params=dict(litellm_params), + api_base=litellm_params.api_base, ) if extra_headers: diff --git a/litellm/llms/gemini/image_edit/transformation.py b/litellm/llms/gemini/image_edit/transformation.py index d46733e04b2..c8aaab0e14e 100644 --- a/litellm/llms/gemini/image_edit/transformation.py +++ b/litellm/llms/gemini/image_edit/transformation.py @@ -54,6 +54,8 @@ class GeminiImageEditConfig(BaseImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: final_api_key: Optional[str] = api_key or get_secret_str("GEMINI_API_KEY") if not final_api_key: diff --git a/litellm/llms/litellm_proxy/image_edit/transformation.py b/litellm/llms/litellm_proxy/image_edit/transformation.py index 5f5e2bdb24d..79cd6e15c68 100644 --- a/litellm/llms/litellm_proxy/image_edit/transformation.py +++ b/litellm/llms/litellm_proxy/image_edit/transformation.py @@ -8,7 +8,12 @@ class LiteLLMProxyImageEditConfig(OpenAIImageEditConfig): """Configuration for image edit requests routed through LiteLLM Proxy.""" def validate_environment( - self, headers: dict, model: str, api_key: Optional[str] = None + self, + headers: dict, + model: str, + api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: api_key = api_key or get_secret_str("LITELLM_PROXY_API_KEY") headers.update({"Authorization": f"Bearer {api_key}"}) diff --git a/litellm/llms/openai/image_edit/transformation.py b/litellm/llms/openai/image_edit/transformation.py index 6917e8d7990..9c0daca8022 100644 --- a/litellm/llms/openai/image_edit/transformation.py +++ b/litellm/llms/openai/image_edit/transformation.py @@ -165,6 +165,8 @@ class OpenAIImageEditConfig(BaseImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: api_key = ( api_key diff --git a/litellm/llms/openrouter/image_edit/transformation.py b/litellm/llms/openrouter/image_edit/transformation.py index fcf066dd5ac..0d96b62425f 100644 --- a/litellm/llms/openrouter/image_edit/transformation.py +++ b/litellm/llms/openrouter/image_edit/transformation.py @@ -116,6 +116,8 @@ class OpenRouterImageEditConfig(BaseImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: api_key = api_key or litellm.api_key or get_secret_str("OPENROUTER_API_KEY") if not api_key: diff --git a/litellm/llms/recraft/image_edit/transformation.py b/litellm/llms/recraft/image_edit/transformation.py index 4c199bc78d8..1dccd406058 100644 --- a/litellm/llms/recraft/image_edit/transformation.py +++ b/litellm/llms/recraft/image_edit/transformation.py @@ -81,6 +81,8 @@ class RecraftImageEditConfig(BaseImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: final_api_key: Optional[str] = api_key or get_secret_str("RECRAFT_API_KEY") if not final_api_key: diff --git a/litellm/llms/stability/image_edit/transformations.py b/litellm/llms/stability/image_edit/transformations.py index eb400a2526e..522858b8c2a 100644 --- a/litellm/llms/stability/image_edit/transformations.py +++ b/litellm/llms/stability/image_edit/transformations.py @@ -149,6 +149,8 @@ class StabilityImageEditConfig(BaseImageEditConfig): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: """ Validate environment and set up headers for Stability AI. diff --git a/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py b/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py index 7979e0e7901..11126b2a3e8 100644 --- a/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py +++ b/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py @@ -103,10 +103,24 @@ class VertexAIImagenImageEditConfig(BaseImageEditConfig, VertexLLM): headers: dict, model: str, api_key: Optional[str] = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: headers = headers or {} - vertex_project = self._resolve_vertex_project() - vertex_credentials = self._resolve_vertex_credentials() + litellm_params = litellm_params or {} + + _api_base = litellm_params.get("api_base") or api_base + if _api_base is not None: + return headers + + vertex_project = ( + self.safe_get_vertex_ai_project(litellm_params) + or self._resolve_vertex_project() + ) + vertex_credentials = ( + self.safe_get_vertex_ai_credentials(litellm_params) + or self._resolve_vertex_credentials() + ) access_token, _ = self._ensure_access_token( credentials=vertex_credentials, project_id=vertex_project, diff --git a/tests/test_litellm/images/test_image_edit_utils.py b/tests/test_litellm/images/test_image_edit_utils.py index e0584afb81c..186a085bdcc 100644 --- a/tests/test_litellm/images/test_image_edit_utils.py +++ b/tests/test_litellm/images/test_image_edit_utils.py @@ -1,4 +1,4 @@ -from typing import Any, Dict, List +from typing import Any, Dict, List, Optional from unittest.mock import MagicMock, patch import pytest @@ -26,7 +26,12 @@ class MockImageEditConfig(BaseImageEditConfig): return "https://example.com/api" def validate_environment( - self, headers: dict, model: str, api_key: str = None + self, + headers: dict, + model: str, + api_key: str = None, + litellm_params: Optional[dict] = None, + api_base: Optional[str] = None, ) -> dict: return headers From a7512764af462bf2ed95135074df2819be8ca2de Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Tue, 21 Apr 2026 14:58:47 +0530 Subject: [PATCH 056/165] test(image_edit): add regression tests for credentials forwarding Adds three test cases to prevent regression of the Vertex AI image_edit credentials bug: 1. test_validate_environment_signature_includes_litellm_params: ensures all image-edit configs accept litellm_params (contract for the handler) 2. test_vertex_gemini_image_edit_reads_credentials_from_litellm_params: verifies Gemini config reads from litellm_params first 3. test_vertex_imagen_image_edit_reads_credentials_from_litellm_params: verifies Imagen config reads from litellm_params first These tests catch if the fix is accidentally reverted or if new image-edit configs are added without the litellm_params parameter. Made-with: Cursor --- .../images/test_image_edit_utils.py | 110 ++++++++++++++++++ 1 file changed, 110 insertions(+) diff --git a/tests/test_litellm/images/test_image_edit_utils.py b/tests/test_litellm/images/test_image_edit_utils.py index 186a085bdcc..1a13dd06712 100644 --- a/tests/test_litellm/images/test_image_edit_utils.py +++ b/tests/test_litellm/images/test_image_edit_utils.py @@ -267,3 +267,113 @@ class TestImageEditCustomPricing: def test_custom_pricing_not_detected_without_model_info(self): litellm_params = {"litellm_call_id": "test-call-id"} assert use_custom_pricing_for_model(litellm_params) is False + + +class TestImageEditHandlerCredentialsForwarding: + """ + Regression tests for Vertex AI image_edit credentials bug. + + image_edit handler must forward litellm_params to validate_environment, + so that credentials passed via YAML config (vertex_ai_project, + vertex_ai_credentials, etc.) reach the auth layer instead of falling + through to Application Default Credentials. + """ + + def test_vertex_gemini_image_edit_reads_credentials_from_litellm_params(self): + """ + VertexAIGeminiImageEditConfig.validate_environment should read + vertex_ai_project/vertex_ai_credentials from litellm_params first. + """ + from litellm.llms.vertex_ai.image_edit.vertex_gemini_transformation import ( + VertexAIGeminiImageEditConfig, + ) + + config = VertexAIGeminiImageEditConfig() + + litellm_params = { + "vertex_ai_project": "test-project-from-params", + "vertex_ai_credentials": "/path/to/creds.json", + } + + with patch.object( + config, "_ensure_access_token", return_value=("token", "project") + ) as mock_ensure: + config.validate_environment( + headers={}, + model="test-model", + litellm_params=litellm_params, + ) + + mock_ensure.assert_called_once() + call_kwargs = mock_ensure.call_args[1] + + assert call_kwargs["credentials"] == "/path/to/creds.json" + assert call_kwargs["project_id"] == "test-project-from-params" + + def test_vertex_imagen_image_edit_reads_credentials_from_litellm_params(self): + """ + VertexAIImagenImageEditConfig.validate_environment should read + vertex_ai_project/vertex_ai_credentials from litellm_params first. + """ + from litellm.llms.vertex_ai.image_edit.vertex_imagen_transformation import ( + VertexAIImagenImageEditConfig, + ) + + config = VertexAIImagenImageEditConfig() + + litellm_params = { + "vertex_ai_project": "test-project-from-params", + "vertex_ai_credentials": "/path/to/creds.json", + } + + with patch.object( + config, "_ensure_access_token", return_value=("token", "project") + ) as mock_ensure: + config.validate_environment( + headers={}, + model="test-model", + litellm_params=litellm_params, + ) + + mock_ensure.assert_called_once() + call_kwargs = mock_ensure.call_args[1] + + assert call_kwargs["credentials"] == "/path/to/creds.json" + assert call_kwargs["project_id"] == "test-project-from-params" + + def test_validate_environment_signature_includes_litellm_params(self): + """ + All image_edit config validate_environment methods should accept + litellm_params to allow credentials to be forwarded from the handler. + """ + import inspect + + from litellm.llms.vertex_ai.image_edit.vertex_gemini_transformation import ( + VertexAIGeminiImageEditConfig, + ) + from litellm.llms.vertex_ai.image_edit.vertex_imagen_transformation import ( + VertexAIImagenImageEditConfig, + ) + from litellm.llms.openai.image_edit.transformation import ( + OpenAIImageEditConfig, + ) + + configs = [ + VertexAIGeminiImageEditConfig(), + VertexAIImagenImageEditConfig(), + OpenAIImageEditConfig(), + MockImageEditConfig(), + ] + + for config in configs: + sig = inspect.signature(config.validate_environment) + params = list(sig.parameters.keys()) + + assert "litellm_params" in params, ( + f"{config.__class__.__name__}.validate_environment " + "missing litellm_params parameter" + ) + assert "api_base" in params, ( + f"{config.__class__.__name__}.validate_environment " + "missing api_base parameter" + ) From 447502b409ebd68c10f4c46f3dcafa0c8763683d Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Tue, 21 Apr 2026 15:03:40 +0530 Subject: [PATCH 057/165] fix(image_edit): read vertex_project/location from litellm_params in Imagen get_complete_url VertexAIImagenImageEditConfig.get_complete_url was resolving vertex_project and vertex_location only from env vars and global settings, ignoring litellm_params. Users supplying project/location exclusively via YAML config would get a ValueError or wrong URL even after auth headers were fixed. Mirrors the pattern already used by VertexAIGeminiImageEditConfig and image_generation counterpart (safe_get_vertex_ai_project/location). Also fixes api_key type hint in MockImageEditConfig (str -> Optional[str]) and adds a test covering get_complete_url credential resolution. Made-with: Cursor --- .../vertex_imagen_transformation.py | 10 +++++-- .../images/test_image_edit_utils.py | 30 ++++++++++++++++++- 2 files changed, 37 insertions(+), 3 deletions(-) diff --git a/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py b/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py index 11126b2a3e8..9c0b07b8279 100644 --- a/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py +++ b/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py @@ -137,8 +137,14 @@ class VertexAIImagenImageEditConfig(BaseImageEditConfig, VertexLLM): """ Get the complete URL for Vertex AI Imagen predict API """ - vertex_project = self._resolve_vertex_project() - vertex_location = self._resolve_vertex_location() + vertex_project = ( + self.safe_get_vertex_ai_project(litellm_params) + or self._resolve_vertex_project() + ) + vertex_location = ( + self.safe_get_vertex_ai_location(litellm_params) + or self._resolve_vertex_location() + ) if not vertex_project or not vertex_location: raise ValueError( diff --git a/tests/test_litellm/images/test_image_edit_utils.py b/tests/test_litellm/images/test_image_edit_utils.py index 1a13dd06712..2146c1fab01 100644 --- a/tests/test_litellm/images/test_image_edit_utils.py +++ b/tests/test_litellm/images/test_image_edit_utils.py @@ -29,7 +29,7 @@ class MockImageEditConfig(BaseImageEditConfig): self, headers: dict, model: str, - api_key: str = None, + api_key: Optional[str] = None, litellm_params: Optional[dict] = None, api_base: Optional[str] = None, ) -> dict: @@ -341,6 +341,34 @@ class TestImageEditHandlerCredentialsForwarding: assert call_kwargs["credentials"] == "/path/to/creds.json" assert call_kwargs["project_id"] == "test-project-from-params" + def test_vertex_imagen_get_complete_url_reads_project_and_location_from_litellm_params( + self, + ): + """ + VertexAIImagenImageEditConfig.get_complete_url should read + vertex_ai_project and vertex_ai_location from litellm_params, + not only from env vars / global settings. + """ + from litellm.llms.vertex_ai.image_edit.vertex_imagen_transformation import ( + VertexAIImagenImageEditConfig, + ) + + config = VertexAIImagenImageEditConfig() + + litellm_params = { + "vertex_ai_project": "param-project", + "vertex_ai_location": "us-east1", + } + + url = config.get_complete_url( + model="vertex_ai/imagegeneration@002", + api_base=None, + litellm_params=litellm_params, + ) + + assert "param-project" in url + assert "us-east1" in url + def test_validate_environment_signature_includes_litellm_params(self): """ All image_edit config validate_environment methods should accept From 7656e26331ce43078c0bd44a0efca62d4b6a090b Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 10:21:29 -0700 Subject: [PATCH 058/165] fix: align user and org spend checks with atomic counter pattern Brings user personal budget and organization budget enforcement in line with the existing key and team patterns, which already read spend from the atomic cross-pod Redis counter. --- litellm/proxy/auth/auth_checks.py | 28 +++++++++++++----- litellm/proxy/hooks/max_budget_limiter.py | 29 +++++++++++-------- .../proxy/hooks/proxy_track_cost_callback.py | 1 + litellm/proxy/proxy_server.py | 15 ++++++++++ 4 files changed, 54 insertions(+), 19 deletions(-) diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py index e19d04a2609..2c8299e77a9 100644 --- a/litellm/proxy/auth/auth_checks.py +++ b/litellm/proxy/auth/auth_checks.py @@ -626,11 +626,17 @@ async def common_checks( # noqa: PLR0915 and user_object.max_budget is not None ): user_budget = user_object.max_budget - if user_budget < user_object.spend: + from litellm.proxy.proxy_server import get_current_spend + + user_spend = await get_current_spend( + counter_key=f"spend:user:{user_object.user_id}", + fallback_spend=user_object.spend or 0.0, + ) + if user_spend >= user_budget: raise litellm.BudgetExceededError( - current_cost=user_object.spend, + current_cost=user_spend, max_budget=user_budget, - message=f"ExceededBudget: User={user_object.user_id} over budget. Spend={user_object.spend}, Budget={user_budget}", + message=f"ExceededBudget: User={user_object.user_id} over budget. Spend={user_spend}, Budget={user_budget}", ) ## 4.2 check team member budget, if team key @@ -3665,12 +3671,20 @@ async def _organization_max_budget_check( if org_max_budget is None or org_max_budget <= 0: return + # Read spend from cross-pod counter (Redis-first) or cached object (fallback) + from litellm.proxy.proxy_server import get_current_spend + + org_spend = await get_current_spend( + counter_key=f"spend:org:{org_id}", + fallback_spend=org_table.spend or 0.0, + ) + # Check if organization spend exceeds max budget - if org_table.spend >= org_max_budget: + if org_spend >= org_max_budget: # Trigger budget alert call_info = CallInfo( token=valid_token.token, - spend=org_table.spend, + spend=org_spend, max_budget=org_max_budget, user_id=valid_token.user_id, team_id=valid_token.team_id, @@ -3686,9 +3700,9 @@ async def _organization_max_budget_check( ) raise litellm.BudgetExceededError( - current_cost=org_table.spend, + current_cost=org_spend, max_budget=org_max_budget, - message=f"Budget has been exceeded! Organization={org_id} Current cost: {org_table.spend}, Max budget: {org_max_budget}", + message=f"Budget has been exceeded! Organization={org_id} Current cost: {org_spend}, Max budget: {org_max_budget}", ) diff --git a/litellm/proxy/hooks/max_budget_limiter.py b/litellm/proxy/hooks/max_budget_limiter.py index 4b59f603d3e..4df28acc542 100644 --- a/litellm/proxy/hooks/max_budget_limiter.py +++ b/litellm/proxy/hooks/max_budget_limiter.py @@ -21,20 +21,25 @@ class _PROXY_MaxBudgetLimiter(CustomLogger): ): try: verbose_proxy_logger.debug("Inside Max Budget Limiter Pre-Call Hook") - cache_key = f"{user_api_key_dict.user_id}_user_api_key_user_id" - user_row = await cache.async_get_cache( - cache_key, parent_otel_span=user_api_key_dict.parent_otel_span + max_budget = user_api_key_dict.user_max_budget + user_id = user_api_key_dict.user_id + + if max_budget is None or user_id is None: + return + + from litellm.proxy.proxy_server import get_current_spend + + curr_spend = await get_current_spend( + counter_key=f"spend:user:{user_id}", + fallback_spend=user_api_key_dict.user_spend or 0.0, ) - if user_row is None: # value not yet cached - return - max_budget = user_row["max_budget"] - curr_spend = user_row["spend"] - if max_budget is None: - return - - if curr_spend is None: - return + verbose_proxy_logger.debug( + "MaxBudgetLimiter: user_id=%s, spend=%.6f, max=%.6f", + user_id, + curr_spend, + max_budget, + ) # CHECK IF REQUEST ALLOWED if curr_spend >= max_budget: diff --git a/litellm/proxy/hooks/proxy_track_cost_callback.py b/litellm/proxy/hooks/proxy_track_cost_callback.py index ea9c92fec6c..c9946f4e26f 100644 --- a/litellm/proxy/hooks/proxy_track_cost_callback.py +++ b/litellm/proxy/hooks/proxy_track_cost_callback.py @@ -213,6 +213,7 @@ class _ProxyDBLogger(CustomLogger): team_id=team_id, user_id=user_id, response_cost=response_cost, + org_id=org_id, ) # update cache (fire-and-forget for backward compat: diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index d8354a798b1..0efa1d452d2 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -1795,6 +1795,7 @@ async def increment_spend_counters( team_id: Optional[str], user_id: Optional[str], response_cost: Optional[float], + org_id: Optional[str] = None, ): """ Atomically increment spend counters for budget enforcement. @@ -1881,6 +1882,20 @@ async def increment_spend_counters( increment=response_cost, ) + if user_id is not None: + await _init_and_increment_spend_counter( + counter_key=f"spend:user:{user_id}", + source_cache_key=user_id, + increment=response_cost, + ) + + if org_id is not None: + await _init_and_increment_spend_counter( + counter_key=f"spend:org:{org_id}", + source_cache_key=f"org_id:{org_id}", + increment=response_cost, + ) + async def _init_and_increment_spend_counter( counter_key: str, From c2b7c4bfcd25626d2042ae7595ebe15f0335b5cd Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 10:38:08 -0700 Subject: [PATCH 059/165] fix: skip personal budget check in MaxBudgetLimiter for team-key requests --- litellm/proxy/hooks/max_budget_limiter.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/litellm/proxy/hooks/max_budget_limiter.py b/litellm/proxy/hooks/max_budget_limiter.py index 4df28acc542..7789fa6a349 100644 --- a/litellm/proxy/hooks/max_budget_limiter.py +++ b/litellm/proxy/hooks/max_budget_limiter.py @@ -27,6 +27,11 @@ class _PROXY_MaxBudgetLimiter(CustomLogger): if max_budget is None or user_id is None: return + # Personal budget applies only to non-team requests, matching + # the explicit team-key exemption in common_checks section 4.1. + if user_api_key_dict.team_id is not None: + return + from litellm.proxy.proxy_server import get_current_spend curr_spend = await get_current_spend( From 583bdd34a237c4995d1cce94eb63d7cd5a3d1a52 Mon Sep 17 00:00:00 2001 From: SwiftWinds <12981958+SwiftWinds@users.noreply.github.com> Date: Mon, 20 Apr 2026 20:20:47 -0700 Subject: [PATCH 060/165] fix(bedrock): allowlist Bedrock Invoke body fields and filter all anthropic-beta values MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Two fail-safes for the /v1/messages → Bedrock Invoke pass-through so new Anthropic-only extensions Claude Code starts sending can't reach Bedrock and trigger a 400 "Extra inputs are not permitted": 1. Top-level body fields are filtered to a typed allowlist. New `BedrockInvokeAnthropicMessagesRequest` TypedDict (in `litellm/types/llms/bedrock.py`) captures the Bedrock Invoke Anthropic Messages body schema; the runtime allowlist is derived from its `__annotations__` so the type and the filter can't drift. Anchored to the AWS reference page in docstrings + transform comment. An exact-set test pins the resolved allowlist so any future edit forces conscious review. Drops context_management, output_config, speed, mcp_servers, container, inference_geo, internal litellm_metadata, and any future Anthropic addition. output_format stays as an active inline-schema conversion (not just a strip). 2. The anthropic-beta header list is filtered + transformed against the bedrock mapping for ALL betas, not just auto-injected ones. The previous code union'd user-provided betas back in unfiltered, so a client on a new Anthropic-direct beta (e.g. advisor-tool-…, context-management-…) could still pin the request to fail. In a proxy context the client can't know the backend is Bedrock; the provider mapping is authoritative. User-provided drops are logged at WARNING so intentional overrides leave a breadcrumb. Updates one existing test that happened to assert on the old buggy pass-through (it used output-128k-2025-02-19, which is null in the bedrock mapping and would 400 at runtime); rewrote it against a bedrock-supported beta. Scope: messages/invoke only. The same user-beta bypass exists in chat/invoke but that's a different code path with different user-expectation trade-offs — follow-up. --- .../anthropic_claude3_transformation.py | 46 +++++- litellm/types/llms/bedrock.py | 44 ++++++ .../test_anthropic_claude3_transformation.py | 149 ++++++++++++++++++ .../bedrock/test_anthropic_beta_support.py | 4 +- 4 files changed, 233 insertions(+), 10 deletions(-) diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py index 31e0e76fd9f..96593b35d0c 100644 --- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py +++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py @@ -34,6 +34,7 @@ from litellm.llms.bedrock.common_utils import ( remove_custom_field_from_tools, ) from litellm.types.llms.anthropic import ANTHROPIC_TOOL_SEARCH_BETA_HEADER +from litellm.types.llms.bedrock import BedrockInvokeAnthropicMessagesRequest from litellm.types.llms.openai import AllMessageValues from litellm.types.router import GenericLiteLLMParams from litellm.types.utils import GenericStreamingChunk @@ -59,6 +60,10 @@ class AmazonAnthropicClaudeMessagesConfig( DEFAULT_BEDROCK_ANTHROPIC_API_VERSION = "bedrock-2023-05-31" + BEDROCK_INVOKE_ALLOWED_TOP_LEVEL_FIELDS = frozenset( + BedrockInvokeAnthropicMessagesRequest.__annotations__.keys() + ) + def __init__(self, **kwargs): BaseAnthropicMessagesConfig.__init__(self, **kwargs) AmazonInvokeConfig.__init__(self, **kwargs) @@ -500,10 +505,6 @@ class AmazonAnthropicClaudeMessagesConfig( anthropic_messages_request=anthropic_messages_request, ) - # 5b. Strip `output_config` — Bedrock Invoke doesn't support it - # Fixes: https://github.com/BerriAI/litellm/issues/22797 - anthropic_messages_request.pop("output_config", None) - # 5a. Remove `custom` field from tools (Bedrock doesn't support it) # Claude Code sends `custom: {defer_loading: true}` on tool definitions, # which causes Bedrock to reject the request with "Extra inputs are not permitted" @@ -550,14 +551,43 @@ class AmazonAnthropicClaudeMessagesConfig( if "tool-search-tool-2025-10-19" in beta_set: beta_set.add("tool-examples-2025-10-29") - filtered_auto_betas = filter_and_transform_beta_headers( - beta_headers=list(beta_set - user_beta_set), - provider="bedrock", + filtered_betas = sorted( + filter_and_transform_beta_headers( + beta_headers=list(beta_set), + provider="bedrock", + ) ) - filtered_betas = sorted(user_beta_set.union(set(filtered_auto_betas))) + + dropped_user_betas = sorted( + b + for b in user_beta_set + if not filter_and_transform_beta_headers([b], provider="bedrock") + ) + if dropped_user_betas: + verbose_logger.warning( + "Bedrock Invoke: dropping unsupported anthropic-beta values " + "from client headers: %s. Bedrock has no mapping entry for " + "these; forwarding them would cause a 400.", + dropped_user_betas, + ) + if filtered_betas: anthropic_messages_request["anthropic_beta"] = filtered_betas + # 7. Final safety net: filter top-level fields to the Bedrock Invoke allowlist. + # Catches Anthropic-only extensions (context_management, output_config, speed, + # mcp_servers, ...) and any future additions Claude Code may start sending. + allowed = self.BEDROCK_INVOKE_ALLOWED_TOP_LEVEL_FIELDS + stripped = sorted(k for k in anthropic_messages_request if k not in allowed) + if stripped: + verbose_logger.debug( + "Bedrock Invoke: stripping unsupported top-level request fields: %s", + stripped, + ) + anthropic_messages_request = { + k: v for k, v in anthropic_messages_request.items() if k in allowed + } + return anthropic_messages_request def get_async_streaming_response_iterator( diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py index 6830d95d36f..9ffb52ef88d 100644 --- a/litellm/types/llms/bedrock.py +++ b/litellm/types/llms/bedrock.py @@ -997,3 +997,47 @@ class BedrockToolBlock(TypedDict, total=False): toolSpec: Optional[ToolSpecBlock] systemTool: Optional[SystemToolBlock] # For Nova grounding cachePoint: Optional[CachePointBlock] + + +class BedrockInvokeAnthropicMessagesRequest(TypedDict, total=False): + """ + Top-level request body accepted by AWS Bedrock `InvokeModel` / + `InvokeModelWithResponseStream` when calling an Anthropic Claude model with + the Messages API format. The LiteLLM /v1/messages → Bedrock Invoke + transformation filters outgoing requests to the keys of this TypedDict; any + other field (Anthropic-only extension, internal metadata, future addition) + is dropped before signing so Bedrock doesn't 400 with + "Extra inputs are not permitted". + + Reference: + https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html + https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages-request-response.html + + Editing this type is the single source of truth — the runtime allowlist in + `AmazonAnthropicClaudeMessagesConfig.BEDROCK_INVOKE_ALLOWED_TOP_LEVEL_FIELDS` + is derived from `__annotations__`, and a test asserts the resolved set + exactly, so any edit forces a conscious review. + + Value types are intentionally loose (`list`, `dict`) — this type exists to + pin the allowed field names, not to validate nested structure. + """ + + # Required by Bedrock + anthropic_version: str + max_tokens: int + messages: list + + # Documented optional fields + anthropic_beta: List[str] + system: object # str or list[TextBlock] + stop_sequences: List[str] + temperature: float + top_p: float + top_k: int + tools: list + tool_choice: dict + + # `thinking` is required for Opus 4.5 / Sonnet 4 extended thinking, + # `metadata` is part of the common Anthropic Messages API shape. + thinking: dict + metadata: dict diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py index d3a9c94ea55..7a2a6f56d6f 100644 --- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py @@ -579,6 +579,155 @@ def test_bedrock_messages_strips_output_config_with_output_format(): assert "output_format" not in result +def test_bedrock_messages_strips_context_management(): + """ + Ensure context_management is stripped from the request before sending to + Bedrock Invoke, which doesn't support this Anthropic-specific parameter. + + Claude Code sends context_management on every request; leaving it in the body + causes a 400 "context_management: Extra inputs are not permitted" from Bedrock. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "context_management": { + "edits": [{"type": "clear_thinking_20251015", "keep": "all"}] + }, + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-3-haiku-20240307-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert ( + "context_management" not in result + ), "context_management should be stripped — Bedrock Invoke rejects it" + assert result.get("max_tokens") == 4096 + + +def test_bedrock_messages_allowlist_filters_anthropic_only_fields(): + """ + Bedrock Invoke rejects any top-level body field it doesn't recognize with + "Extra inputs are not permitted". Defend against that by filtering the + outgoing body to a Bedrock-supported allowlist — catches Anthropic-only + extensions (speed, mcp_servers, container, ...) and any future additions + Claude Code starts sending before we learn about them. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = { + "max_tokens": 4096, + "temperature": 0.5, + "speed": "fast", + "mcp_servers": [{"type": "url", "url": "https://example.com"}], + "container": {"skills": []}, + "inference_geo": "us", + "output_config": {"effort": "low"}, + "context_management": {"edits": []}, + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-3-haiku-20240307-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + for bad in ( + "speed", + "mcp_servers", + "container", + "inference_geo", + "output_config", + "context_management", + "model", + "stream", + ): + assert bad not in result, f"{bad} should be stripped by the allowlist" + + # Supported fields pass through. + assert result["max_tokens"] == 4096 + assert result["temperature"] == 0.5 + assert result["anthropic_version"] == cfg.DEFAULT_BEDROCK_ANTHROPIC_API_VERSION + # Every surviving key is in the allowlist. + assert set(result).issubset(cfg.BEDROCK_INVOKE_ALLOWED_TOP_LEVEL_FIELDS) + + +def test_bedrock_messages_filters_user_provided_unsupported_beta_header(): + """ + In proxy deployments the client (e.g. Claude Code) doesn't know the backend + is Bedrock and may send Anthropic-direct beta headers Bedrock can't handle. + All betas must go through the provider mapping, not just auto-injected ones + — otherwise Bedrock 400s on the unsupported value. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = {"max_tokens": 128} + # `advisor-tool-2026-03-01` has no bedrock mapping entry → must be dropped. + # `context-1m-2025-08-07` does → must pass through. + headers = { + "anthropic-beta": "advisor-tool-2026-03-01,context-1m-2025-08-07", + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-3-haiku-20240307-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers=headers, + ) + + betas = result.get("anthropic_beta") or [] + assert ( + "advisor-tool-2026-03-01" not in betas + ), "user-provided beta not in the Bedrock mapping must be dropped" + assert ( + "context-1m-2025-08-07" in betas + ), "user-provided beta that IS in the Bedrock mapping should survive" + + +def test_bedrock_messages_renames_user_provided_aliased_beta_header(): + """ + Bedrock's config maps `advanced-tool-use-2025-11-20` to + `tool-search-tool-2025-10-19`. User-provided betas must go through the + rename too, not be forwarded under their Anthropic-direct spelling. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hello"}]}] + optional_params = {"max_tokens": 128} + headers = {"anthropic-beta": "advanced-tool-use-2025-11-20"} + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-3-haiku-20240307-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers=headers, + ) + + betas = result.get("anthropic_beta") or [] + assert ( + "advanced-tool-use-2025-11-20" not in betas + ), "Anthropic-direct spelling should be rewritten, not forwarded verbatim" + assert ( + "tool-search-tool-2025-10-19" in betas + ), "user-provided beta should be renamed to the Bedrock-side spelling" + + @pytest.mark.asyncio async def test_promote_message_stop_usage_preserves_message_delta_output_tokens(): """ diff --git a/tests/test_litellm/llms/bedrock/test_anthropic_beta_support.py b/tests/test_litellm/llms/bedrock/test_anthropic_beta_support.py index 46fbd67902e..a20ec94a99d 100644 --- a/tests/test_litellm/llms/bedrock/test_anthropic_beta_support.py +++ b/tests/test_litellm/llms/bedrock/test_anthropic_beta_support.py @@ -95,7 +95,7 @@ class TestAnthropicBetaHeaderSupport: def test_messages_transformation_anthropic_beta(self): """Test that Messages API transformation includes anthropic_beta in request.""" config = AmazonAnthropicClaudeMessagesConfig() - headers = {"anthropic-beta": "output-128k-2025-02-19"} + headers = {"anthropic-beta": "context-1m-2025-08-07"} result = config.transform_anthropic_messages_request( model="anthropic.claude-haiku-4-5-20251001-v1:0", @@ -107,7 +107,7 @@ class TestAnthropicBetaHeaderSupport: assert "anthropic_beta" in result # Sort both arrays before comparing to avoid flakiness from ordering differences - assert sorted(result["anthropic_beta"]) == sorted(["output-128k-2025-02-19"]) + assert sorted(result["anthropic_beta"]) == sorted(["context-1m-2025-08-07"]) def test_converse_computer_use_compatibility(self): """Test that user anthropic_beta headers work with computer use tools.""" From 11b776935d4878b513772ee5b0cde1105c943d0d Mon Sep 17 00:00:00 2001 From: SwiftWinds <12981958+SwiftWinds@users.noreply.github.com> Date: Tue, 21 Apr 2026 11:39:11 -0700 Subject: [PATCH 061/165] chore: make `uv` newer than 0.10 allowable --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index d5d238473b1..ef06a628fb6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -208,7 +208,7 @@ build-backend = "uv_build" [tool.uv] default-groups = ["dev"] -required-version = "==0.10.9" +required-version = ">=0.10.9" exclude-newer = "3 days" [tool.uv.sources] From b39f210a6cf5ea0aaa4de86d835b21d12d93590f Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 12:00:23 -0700 Subject: [PATCH 062/165] [Infra] Add freshness and destructive guards to migration workflow Generating a migration from a stale branch could silently emit DROP COLUMN for columns the stale branch did not know about, and the script would write that SQL to a new migration file with no warning. Adds two guards to ci_cd/run_migration.py: - Branch freshness check: fetches origin/ and exits 3 if HEAD is behind. Default base is litellm_internal_staging. New flags: --base-branch, --skip-freshness-check. - Destructive guard: refuses (exit 2) if the generated diff contains DROP COLUMN / DROP TABLE / DROP INDEX, unless --allow-destructive is passed. Refusal banners include guidance and an explicit callout instructing AI agents not to auto-bypass the flags. Also treats Prisma's "-- This is an empty migration." output as a no-op rather than writing an empty file. Updates litellm-proxy-extras/migration_runbook.md with the new workflow, flag documentation, and agent warnings. --- ci_cd/run_migration.py | 298 ++++++++++++++++++++-- litellm-proxy-extras/migration_runbook.md | 50 +++- 2 files changed, 329 insertions(+), 19 deletions(-) diff --git a/ci_cd/run_migration.py b/ci_cd/run_migration.py index 29101bf9505..1cbe9fb59d5 100644 --- a/ci_cd/run_migration.py +++ b/ci_cd/run_migration.py @@ -1,22 +1,230 @@ +import argparse import os -import subprocess -from pathlib import Path -from datetime import datetime -import testing.postgresql +import re import shutil +import subprocess +import sys +from datetime import datetime +from pathlib import Path + +import testing.postgresql -def create_migration(migration_name: str = None): +DESTRUCTIVE_PATTERN = re.compile(r"\bDROP\s+(COLUMN|TABLE|INDEX)\b", re.IGNORECASE) +DEFAULT_BASE_BRANCH = "litellm_internal_staging" + + +def _find_destructive_statements(sql: str) -> list: + """Return SQL lines containing DROP COLUMN or DROP TABLE.""" + return [ + line.strip() for line in sql.splitlines() if DESTRUCTIVE_PATTERN.search(line) + ] + + +def _print_freshness_failure( + base_branch: str, reason: str, stderr_text: str = "" +) -> None: + """Loudly refuse to run when the freshness check can't be completed.""" + banner = "=" * 72 + out = sys.stderr + print(banner, file=out) + print(f" FRESHNESS CHECK FAILED — COULD NOT VERIFY origin/{base_branch}", file=out) + print(banner, file=out) + print("", file=out) + print(f"Reason: {reason}", file=out) + if stderr_text: + print("", file=out) + print("git stderr:", file=out) + for line in stderr_text.rstrip().splitlines(): + print(f" {line}", file=out) + print("", file=out) + print("Common causes:", file=out) + print(" - No network access (offline)", file=out) + print(" - 'origin' remote not configured, or base branch name is wrong", file=out) + print(" - Not a git repository", file=out) + print("", file=out) + print("Options:", file=out) + print( + f" - Fix the above and re-run, OR pass --base-branch if your", file=out + ) + print( + f" base branch is not '{base_branch}', OR pass --skip-freshness-check", + file=out, + ) + print(" to bypass (only if you fully understand the risk).", file=out) + print(banner, file=out) + + +def _print_stale_branch_refusal(base_branch: str, behind: int) -> None: + """Loudly refuse to run when HEAD is behind the base branch.""" + banner = "=" * 72 + out = sys.stderr + print(banner, file=out) + print( + f" STALE BRANCH — {behind} commit(s) behind origin/{base_branch}", + file=out, + ) + print(banner, file=out) + print("", file=out) + print( + f"Your branch is {behind} commit(s) behind origin/{base_branch}. Generating a\n" + "migration from a stale branch is how newly-added columns get silently\n" + "dropped — the exact incident this guard exists to prevent.", + file=out, + ) + print("", file=out) + print("Before re-running:", file=out) + print(f" git fetch origin && git rebase origin/{base_branch}", file=out) + print(" # or merge, whichever matches your workflow", file=out) + print("", file=out) + print( + "If you have a genuine reason to bypass (e.g. intentionally generating", + file=out, + ) + print("a migration against an older base), pass --skip-freshness-check.", file=out) + print("", file=out) + print(banner, file=out) + print( + " AI AGENTS / ASSISTANTS: DO NOT automatically run `git rebase` or pass\n" + " --skip-freshness-check. Surface this error to the human operator and\n" + " wait for their explicit confirmation. Auto-rebasing can drop the\n" + " human's in-progress schema edits via a bad conflict resolution.", + file=out, + ) + print(banner, file=out) + + +def _check_branch_freshness(root_dir: Path, base_branch: str) -> None: + """Fetch origin/ and exit 3 if HEAD is behind it.""" + cwd = str(root_dir) + try: + subprocess.run( + ["git", "fetch", "origin", base_branch], + check=True, + capture_output=True, + text=True, + cwd=cwd, + ) + except FileNotFoundError: + _print_freshness_failure(base_branch, "git executable not found on PATH") + sys.exit(3) + except subprocess.CalledProcessError as e: + _print_freshness_failure( + base_branch, + f"`git fetch origin {base_branch}` failed", + e.stderr or "", + ) + sys.exit(3) + + try: + result = subprocess.run( + ["git", "rev-list", "--count", f"HEAD..origin/{base_branch}"], + check=True, + capture_output=True, + text=True, + cwd=cwd, + ) + behind = int(result.stdout.strip()) + except subprocess.CalledProcessError as e: + _print_freshness_failure( + base_branch, + f"`git rev-list HEAD..origin/{base_branch}` failed", + e.stderr or "", + ) + sys.exit(3) + except ValueError: + _print_freshness_failure( + base_branch, + "could not parse commit count from `git rev-list`", + ) + sys.exit(3) + + if behind > 0: + _print_stale_branch_refusal(base_branch, behind) + sys.exit(3) + + print(f"Branch freshness OK: up to date with origin/{base_branch}.") + + +def _print_destructive_refusal(destructive_lines: list) -> None: + """Loudly refuse to write a destructive migration and explain how to proceed.""" + banner = "=" * 72 + out = sys.stderr + print(banner, file=out) + print( + " DESTRUCTIVE MIGRATION DETECTED — REFUSING TO WRITE MIGRATION FILE", file=out + ) + print(banner, file=out) + print("", file=out) + print( + "The generated migration contains the following destructive statements:", + file=out, + ) + print("", file=out) + for line in destructive_lines: + print(f" {line}", file=out) + print("", file=out) + print( + "This very often means your branch is OUT OF DATE, or your local\n" + "schema.prisma is inconsistent with the migrations/ directory. A\n" + "previous incident saw newly-added columns silently dropped this way\n" + "and merged to main. Stop and verify before proceeding.", + file=out, + ) + print("", file=out) + print("Before re-running:", file=out) + print( + " 1. git fetch origin && git status # confirm branch is up to date", file=out + ) + print( + " 2. Re-check all schema.prisma files are in sync (runbook Step 0)", file=out + ) + print(" 3. Review EACH DROP above — is it actually intended?", file=out) + print(" 4. If (and only if) the drops are intentional, re-run with:", file=out) + print(" --allow-destructive", file=out) + print("", file=out) + print(banner, file=out) + print( + " AI AGENTS / ASSISTANTS: DO NOT automatically re-run this command\n" + " with --allow-destructive. Surface this error to the human operator\n" + " and wait for their explicit confirmation before passing the flag.\n" + " Passing the flag without human review is the exact failure mode\n" + " this guard exists to prevent.", + file=out, + ) + print(banner, file=out) + + +def create_migration( + migration_name: str = None, + allow_destructive: bool = False, + base_branch: str = DEFAULT_BASE_BRANCH, + skip_freshness_check: bool = False, +): """ Create a new migration SQL file in the migrations directory by comparing - current database state with schema + current database state with schema. Args: migration_name (str): Name for the migration + allow_destructive (bool): Required to write a migration that contains + DROP COLUMN, DROP TABLE, or DROP INDEX statements. Without this + flag, the script exits non-zero and prints guidance. + base_branch (str): Branch to check freshness against (default: "main"). + skip_freshness_check (bool): Skip the "branch is up to date" check. + Only for intentional migrations against an older base. """ + root_dir = Path(__file__).parent.parent + + if skip_freshness_check: + print( + "WARNING: freshness check skipped (--skip-freshness-check). " + "Generating a migration from a stale branch can silently drop columns." + ) + else: + _check_branch_freshness(root_dir, base_branch) + try: - # Get paths - root_dir = Path(__file__).parent.parent migrations_dir = ( root_dir / "litellm-proxy-extras" / "litellm_proxy_extras" / "migrations" ) @@ -59,7 +267,27 @@ def create_migration(migration_name: str = None): check=True, ) - if result.stdout.strip(): + # Prisma emits the literal "-- This is an empty migration." when + # there's no real drift. Treat that as "no changes". + diff_sql = result.stdout + stripped = diff_sql.strip() + is_empty_diff = ( + not stripped or stripped == "-- This is an empty migration." + ) + + if not is_empty_diff: + destructive_lines = _find_destructive_statements(diff_sql) + if destructive_lines and not allow_destructive: + _print_destructive_refusal(destructive_lines) + sys.exit(2) + if destructive_lines and allow_destructive: + print( + "WARNING: writing destructive migration " + "(--allow-destructive passed). Statements:" + ) + for line in destructive_lines: + print(f" {line}") + # Generate timestamp and create migration directory timestamp = datetime.now().strftime("%Y%m%d%H%M%S") migration_name = migration_name or "unnamed_migration" @@ -68,7 +296,7 @@ def create_migration(migration_name: str = None): # Write the SQL to migration.sql migration_file = migration_dir / "migration.sql" - migration_file.write_text(result.stdout) + migration_file.write_text(diff_sql) print(f"Created migration in {migration_dir}") return True @@ -90,8 +318,48 @@ def create_migration(migration_name: str = None): if __name__ == "__main__": - # If running directly, can optionally pass migration name as argument - import sys - - migration_name = sys.argv[1] if len(sys.argv) > 1 else None - create_migration(migration_name) + parser = argparse.ArgumentParser( + description=( + "Generate a Prisma migration by diffing the temp DB " + "(existing migrations applied) against schema.prisma." + ) + ) + parser.add_argument( + "migration_name", + nargs="?", + default=None, + help="Name for the migration (used in the generated directory name).", + ) + parser.add_argument( + "--allow-destructive", + action="store_true", + help=( + "Required to write a migration that contains DROP COLUMN, " + "DROP TABLE, or DROP INDEX. Without this flag, destructive " + "diffs are refused." + ), + ) + parser.add_argument( + "--base-branch", + default=DEFAULT_BASE_BRANCH, + help=( + f"Branch to check freshness against (default: {DEFAULT_BASE_BRANCH}). " + "The script fetches origin/ and refuses to run if HEAD " + "is behind it." + ), + ) + parser.add_argument( + "--skip-freshness-check", + action="store_true", + help=( + "Bypass the 'branch is up to date' check. Only for intentional " + "migrations against an older base. Pairs poorly with automation." + ), + ) + args = parser.parse_args() + create_migration( + args.migration_name, + allow_destructive=args.allow_destructive, + base_branch=args.base_branch, + skip_freshness_check=args.skip_freshness_check, + ) diff --git a/litellm-proxy-extras/migration_runbook.md b/litellm-proxy-extras/migration_runbook.md index 8499bb7ce08..a277441b164 100644 --- a/litellm-proxy-extras/migration_runbook.md +++ b/litellm-proxy-extras/migration_runbook.md @@ -2,6 +2,8 @@ This is a runbook for creating and running database migrations for the LiteLLM proxy. For use for litellm engineers only. +> **AI AGENTS / ASSISTANTS:** If the script refuses with either a "STALE BRANCH" or "DESTRUCTIVE MIGRATION DETECTED" error, **do NOT** bypass it on your own (no `git rebase`, no `--skip-freshness-check`, no `--allow-destructive`). Surface the error to the human operator and wait for their explicit confirmation. See the [Branch freshness](#branch-freshness-check) and [Destructive migrations](#destructive-migrations-drop-column--drop-table) sections below. + ## Step 0: Sync All `schema.prisma` Files Before doing anything else, make sure all `schema.prisma` files in the repo are in sync. There are multiple copies that must match: @@ -46,10 +48,50 @@ uv run --with testing.postgresql python ci_cd/run_migration.py "your_migration_n ## What It Does -1. Creates temp PostgreSQL DB -2. Applies existing migrations -3. Compares with `schema.prisma` -4. Generates new migration if changes found +1. **Verifies the current branch is up to date with `origin/litellm_internal_staging`** (see [Branch freshness](#branch-freshness-check)) +2. Creates temp PostgreSQL DB +3. Applies existing migrations +4. Compares with `schema.prisma` +5. Generates new migration if changes found +6. **Refuses to write if the generated SQL contains `DROP COLUMN`, `DROP TABLE`, or `DROP INDEX`**, unless `--allow-destructive` is passed + +## Branch Freshness Check + +Before generating anything, `run_migration.py` runs `git fetch origin ` and refuses to proceed if `HEAD` is behind `origin/`. Default base is `litellm_internal_staging` (the branch PRs target). A previous incident saw a stale branch silently drop production columns; freshness is the first-line defense. + +Flags: + +- `--base-branch ` — check against a different base (e.g. `main`). Default is `litellm_internal_staging`. +- `--skip-freshness-check` — bypass entirely. Only for intentional migrations against an older base. + +When the guard fires: + +1. Update your branch: + + ```bash + git fetch origin && git rebase origin/litellm_internal_staging + # or git merge origin/litellm_internal_staging — whichever matches your workflow + ``` +2. Re-run `run_migration.py`. + +> **AI AGENTS / ASSISTANTS:** Do **not** auto-rebase or auto-pass `--skip-freshness-check`. A bad conflict resolution during rebase can itself drop the human's in-progress schema edits. Surface the error and wait for explicit confirmation. + +## Destructive Migrations (DROP COLUMN / DROP TABLE / DROP INDEX) + +If the generated diff contains `DROP COLUMN`, `DROP TABLE`, or `DROP INDEX`, `run_migration.py` exits non-zero and refuses to write the migration file. A previous incident saw newly-added columns silently dropped by a stale branch and merged to main — this guard exists to prevent a repeat. + +When the guard fires: + +1. Run `git fetch origin && git status` — confirm your branch is up to date with the base branch. +2. Re-check all `schema.prisma` files are in sync (Step 0). +3. Review EACH `DROP` statement printed in the error — is it actually intended? +4. Only if the drops are genuinely intentional, re-run with the flag: + + ```bash + uv run --with testing.postgresql python ci_cd/run_migration.py "your_migration_name" --allow-destructive + ``` + +> **AI AGENTS / ASSISTANTS:** Do **not** automatically re-run the command with `--allow-destructive`. If the guard fires while you are driving the runbook for a human, stop, show them the error, and wait for their explicit confirmation before passing the flag. Auto-passing `--allow-destructive` is the exact failure mode this guard exists to prevent. ## Common Fixes From 5b007add62e2d2bd31eaad6dbf4e988c7e0246ea Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 12:07:19 -0700 Subject: [PATCH 063/165] [Docs] Fix docstring inaccuracies in run_migration.py - _find_destructive_statements: add DROP INDEX to the docstring (the regex already detects it; only the docstring lagged). - create_migration: correct the base_branch default documented in the docstring from "main" to "litellm_internal_staging". --- ci_cd/run_migration.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/ci_cd/run_migration.py b/ci_cd/run_migration.py index 1cbe9fb59d5..feec4046ee1 100644 --- a/ci_cd/run_migration.py +++ b/ci_cd/run_migration.py @@ -15,7 +15,7 @@ DEFAULT_BASE_BRANCH = "litellm_internal_staging" def _find_destructive_statements(sql: str) -> list: - """Return SQL lines containing DROP COLUMN or DROP TABLE.""" + """Return SQL lines containing DROP COLUMN, DROP TABLE, or DROP INDEX.""" return [ line.strip() for line in sql.splitlines() if DESTRUCTIVE_PATTERN.search(line) ] @@ -210,7 +210,8 @@ def create_migration( allow_destructive (bool): Required to write a migration that contains DROP COLUMN, DROP TABLE, or DROP INDEX statements. Without this flag, the script exits non-zero and prints guidance. - base_branch (str): Branch to check freshness against (default: "main"). + base_branch (str): Branch to check freshness against + (default: "litellm_internal_staging"). skip_freshness_check (bool): Skip the "branch is up to date" check. Only for intentional migrations against an older base. """ From e5f3e1596902ac2841a0fff2d1caff6c95d79c52 Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Tue, 21 Apr 2026 13:56:44 -0700 Subject: [PATCH 064/165] Track per-member total spend on team memberships Adds total_spend column to LiteLLM_TeamMembership that accumulates continuously and is not zeroed by the budget cycle reset job. This enables UI surfaces to distinguish current-cycle spend (the existing spend column, which resets) from lifetime spend per team member. Also exposes budget_reset_at on LiteLLM_BudgetTable so /team/info callers can see when a member's budget window next resets. The field was already stored in the DB but stripped by the response Pydantic model. Includes regression tests that: - Guard the reset job against ever writing total_spend: 0 - Verify the spend writer increments both spend and total_spend in one UPDATE statement. --- .../migration.sql | 3 + .../litellm_proxy_extras/schema.prisma | 1 + litellm/proxy/_types.py | 3 +- litellm/proxy/db/db_spend_update_writer.py | 5 +- litellm/proxy/schema.prisma | 1 + schema.prisma | 1 + .../common_utils/test_reset_budget_job.py | 35 +++++++++ .../proxy/db/test_db_spend_update_writer.py | 75 +++++++++++++++++++ 8 files changed, 122 insertions(+), 2 deletions(-) create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20260421135425_add_team_membership_total_spend/migration.sql diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260421135425_add_team_membership_total_spend/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260421135425_add_team_membership_total_spend/migration.sql new file mode 100644 index 00000000000..049bd513cd8 --- /dev/null +++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260421135425_add_team_membership_total_spend/migration.sql @@ -0,0 +1,3 @@ +-- AlterTable +ALTER TABLE "LiteLLM_TeamMembership" ADD COLUMN "total_spend" DOUBLE PRECISION NOT NULL DEFAULT 0.0; + diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma index 08aa5645251..e18662b572c 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma +++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma @@ -616,6 +616,7 @@ model LiteLLM_TeamMembership { user_id String team_id String spend Float @default(0.0) + total_spend Float @default(0.0) budget_id String? litellm_budget_table LiteLLM_BudgetTable? @relation(fields: [budget_id], references: [budget_id]) @@id([user_id, team_id]) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 85d3df71890..819a38eec19 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -2007,6 +2007,7 @@ class LiteLLM_BudgetTable(LiteLLMPydanticObjectBase): rpm_limit: Optional[int] = None model_max_budget: Optional[dict] = None budget_duration: Optional[str] = None + budget_reset_at: Optional[datetime] = None allowed_models: Optional[List[str]] = ( None # per-member model scope; empty = inherit team models ) @@ -2017,7 +2018,6 @@ class LiteLLM_BudgetTable(LiteLLMPydanticObjectBase): class LiteLLM_BudgetTableFull(LiteLLM_BudgetTable): """Represents all params for a LiteLLM_BudgetTable record""" - budget_reset_at: Optional[datetime] = None created_at: datetime @@ -3695,6 +3695,7 @@ class LiteLLM_TeamMembership(LiteLLMPydanticObjectBase): team_id: str budget_id: Optional[str] = None spend: Optional[float] = 0.0 + total_spend: Optional[float] = 0.0 litellm_budget_table: Optional[LiteLLM_BudgetTable] def safe_get_team_member_rpm_limit(self) -> Optional[int]: diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py index 8017448ae13..c06e1850d9f 100644 --- a/litellm/proxy/db/db_spend_update_writer.py +++ b/litellm/proxy/db/db_spend_update_writer.py @@ -1300,7 +1300,10 @@ class DBSpendUpdateWriter: batcher.litellm_teammembership.update_many( # 'update_many' prevents error from being raised if no row exists where={"team_id": team_id, "user_id": user_id}, - data={"spend": {"increment": response_cost}}, + data={ + "spend": {"increment": response_cost}, + "total_spend": {"increment": response_cost}, + }, ) # Transaction succeeded, break out of retry loop break diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma index 08aa5645251..e18662b572c 100644 --- a/litellm/proxy/schema.prisma +++ b/litellm/proxy/schema.prisma @@ -616,6 +616,7 @@ model LiteLLM_TeamMembership { user_id String team_id String spend Float @default(0.0) + total_spend Float @default(0.0) budget_id String? litellm_budget_table LiteLLM_BudgetTable? @relation(fields: [budget_id], references: [budget_id]) @@id([user_id, team_id]) diff --git a/schema.prisma b/schema.prisma index 08aa5645251..e18662b572c 100644 --- a/schema.prisma +++ b/schema.prisma @@ -616,6 +616,7 @@ model LiteLLM_TeamMembership { user_id String team_id String spend Float @default(0.0) + total_spend Float @default(0.0) budget_id String? litellm_budget_table LiteLLM_BudgetTable? @relation(fields: [budget_id], references: [budget_id]) @@id([user_id, team_id]) diff --git a/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py b/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py index 8206079cb8d..32f043be5b7 100644 --- a/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py +++ b/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py @@ -4,6 +4,7 @@ import sys import time from datetime import datetime, timedelta, timezone from typing import Any, Dict, List +from unittest.mock import AsyncMock, MagicMock import pytest @@ -784,3 +785,37 @@ def test_reset_budget_skips_null_budget_id_endusers_when_default_not_in_reset_li assert len(find_many_calls) == 0 litellm.max_end_user_budget_id = None + + +def test_reset_budget_for_team_members_preserves_total_spend(): + """Regression guard: reset_budget_for_litellm_team_members must zero `spend` + but leave `total_spend` untouched. + + The reset writes `data={"spend": 0}` explicitly. If a future refactor adds + `"total_spend": 0` to that dict, this test fails immediately. + """ + expired_budget = type( + "LiteLLM_BudgetTableFull", + (), + {"budget_id": "budget-1"}, + ) + + mock_prisma_client = MagicMock() + mock_prisma_client.db.litellm_teammembership.find_many = AsyncMock(return_value=[]) + mock_prisma_client.db.litellm_teammembership.update_many = AsyncMock( + return_value={"count": 1} + ) + + job = ResetBudgetJob( + proxy_logging_obj=MagicMock(), prisma_client=mock_prisma_client + ) + + asyncio.run(job.reset_budget_for_litellm_team_members([expired_budget])) + + mock_prisma_client.db.litellm_teammembership.update_many.assert_called_once() + call_kwargs = ( + mock_prisma_client.db.litellm_teammembership.update_many.call_args.kwargs + ) + assert call_kwargs["where"]["budget_id"]["in"] == ["budget-1"] + assert call_kwargs["data"] == {"spend": 0} + assert "total_spend" not in call_kwargs["data"] 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 b98b9a8ad61..4d584349342 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 @@ -642,6 +642,81 @@ async def test_commit_spend_updates_to_db_increments_agent_spend(): assert call_kwargs["data"] == {"spend": {"increment": response_cost}} +@pytest.mark.asyncio +async def test_commit_spend_updates_to_db_increments_team_member_spend_and_total_spend(): + """ + Verify that _commit_spend_updates_to_db increments BOTH spend (cycle-scoped) + and total_spend (non-resetting) on LiteLLM_TeamMembership in a single + update_many call, using the same response_cost. + """ + db_writer = DBSpendUpdateWriter() + + mock_batcher = MagicMock() + mock_batcher.litellm_verificationtoken = MagicMock() + mock_batcher.litellm_verificationtoken.update_many = MagicMock() + mock_batcher.litellm_usertable = MagicMock() + mock_batcher.litellm_usertable.update_many = MagicMock() + mock_batcher.litellm_teamtable = MagicMock() + mock_batcher.litellm_teamtable.update_many = MagicMock() + mock_batcher.litellm_teammembership = MagicMock() + mock_batcher.litellm_teammembership.update_many = MagicMock() + mock_batcher.litellm_organizationtable = MagicMock() + mock_batcher.litellm_organizationtable.update_many = MagicMock() + mock_batcher.litellm_tagtable = MagicMock() + mock_batcher.litellm_tagtable.update_many = MagicMock() + mock_batcher.litellm_agentstable = MagicMock() + mock_batcher.litellm_agentstable.update_many = MagicMock() + + mock_transaction = AsyncMock() + mock_transaction.__aenter__ = AsyncMock(return_value=mock_transaction) + mock_transaction.__aexit__ = AsyncMock(return_value=False) + mock_transaction.batch_ = MagicMock( + return_value=AsyncMock( + __aenter__=AsyncMock(return_value=mock_batcher), + __aexit__=AsyncMock(return_value=False), + ) + ) + + mock_prisma_client = MagicMock() + mock_prisma_client.db = MagicMock() + mock_prisma_client.db.tx = MagicMock(return_value=mock_transaction) + + mock_proxy_logging = MagicMock() + # Skip team-membership cache invalidation — out of scope for this test. + mock_proxy_logging.call_details.get = MagicMock(return_value=None) + + team_id = "team-abc" + user_id = "user-xyz" + response_cost = 0.75 + entity_id = f"team_id::{team_id}::user_id::{user_id}" + db_spend_update_transactions = { + "user_list_transactions": {}, + "end_user_list_transactions": {}, + "key_list_transactions": {}, + "team_list_transactions": {}, + "team_member_list_transactions": {entity_id: response_cost}, + "org_list_transactions": {}, + "tag_list_transactions": {}, + "agent_list_transactions": {}, + } + + with patch("litellm.proxy.utils._raise_failed_update_spend_exception"): + await db_writer._commit_spend_updates_to_db( + prisma_client=mock_prisma_client, + n_retry_times=0, + proxy_logging_obj=mock_proxy_logging, + db_spend_update_transactions=db_spend_update_transactions, + ) + + mock_batcher.litellm_teammembership.update_many.assert_called_once() + call_kwargs = mock_batcher.litellm_teammembership.update_many.call_args[1] + assert call_kwargs["where"] == {"team_id": team_id, "user_id": user_id} + assert call_kwargs["data"] == { + "spend": {"increment": response_cost}, + "total_spend": {"increment": response_cost}, + } + + @pytest.mark.asyncio async def test_add_spend_log_transaction_to_daily_tag_transaction_with_request_id(): """ From a16c00e22c51c12b17ecc4658c37cd36258703f6 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 14:20:35 -0700 Subject: [PATCH 065/165] [Feature] Proxy: opt-in v2 migration resolver (--use_v2_migration_resolver) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Default behavior (v1) is unchanged. Users who have seen schema thrashing during rolling deploys can opt into the v2 resolver with `--use_v2_migration_resolver`. Why v2 is safer: - Runs `prisma migrate deploy` only. - Recovers from P3005 (baseline) and idempotent P3009/P3018 errors, same as v1. - Never calls `_resolve_all_migrations`, which generates a schema diff between the live DB and the shipped schema.prisma and applies it via `prisma db execute`. That path bypassed every migration's SQL and was the root cause of thrashing when two LiteLLM versions contended for the same DB. - Logs a non-blocking warning when the DB has migrations applied that are newer than anything this build ships (ahead-of-HEAD). It does not refuse to start — many users have unusual ledger state from past thrashing, and blocking startup would be a breaking change. Also prints a message on startup when the default (v1) resolver is in use, pointing operators at the opt-in flag. Adds unit tests covering the v2 fail-fast paths, the stripping of Prisma-specific query params from DATABASE_URL (needed for psycopg), the timestamp helpers, and pins the default: v1 still invokes `_resolve_all_migrations`, v2 must not. --- .../litellm_proxy_extras/utils.py | 263 +++++++++++++++++- .../tests/test_setup_database_fail_fast.py | 158 +++++++++++ litellm/proxy/db/prisma_client.py | 15 +- litellm/proxy/proxy_cli.py | 39 ++- 4 files changed, 467 insertions(+), 8 deletions(-) create mode 100644 litellm-proxy-extras/tests/test_setup_database_fail_fast.py diff --git a/litellm-proxy-extras/litellm_proxy_extras/utils.py b/litellm-proxy-extras/litellm_proxy_extras/utils.py index c24188cba1d..04005ce2548 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/utils.py +++ b/litellm-proxy-extras/litellm_proxy_extras/utils.py @@ -30,6 +30,26 @@ def _get_prisma_env() -> dict: return prisma_env +_MIGRATION_TS_RE = re.compile(r"^(\d{14})_") + + +def _migration_timestamp(name: str) -> int: + """Extract the leading `YYYYMMDDHHMMSS` timestamp from a migration name. + + Returns 0 if the name doesn't match the Prisma pattern — unexpected-format + entries sort as "oldest" and are treated as historical. + """ + m = _MIGRATION_TS_RE.match(name) + return int(m.group(1)) if m else 0 + + +def _max_migration_timestamp(names) -> int: + """Max timestamp in a set/list of migration names (0 if empty).""" + if not names: + return 0 + return max(_migration_timestamp(n) for n in names) + + def _get_prisma_command() -> str: """Get the Prisma command to use, bypassing Python wrapper in offline mode.""" if str_to_bool(os.getenv("PRISMA_OFFLINE_MODE")): @@ -383,18 +403,255 @@ class ProxyExtrasDBManager: ) @staticmethod - def setup_database(use_migrate: bool = False) -> bool: + def _strip_prisma_query_params(url: str) -> str: + """Remove Prisma-specific query params (connection_limit, pool_timeout, + schema, etc.) from DATABASE_URL so psycopg can parse it.""" + from urllib.parse import urlparse, urlunparse, parse_qsl, urlencode + + parsed = urlparse(url) + if not parsed.query: + return url + libpq_params = { + "sslmode", + "sslcert", + "sslkey", + "sslrootcert", + "sslpassword", + "application_name", + "connect_timeout", + "client_encoding", + "options", + "service", + "gssencmode", + "krbsrvname", + "target_session_attrs", + } + kept = [(k, v) for k, v in parse_qsl(parsed.query) if k in libpq_params] + return urlunparse(parsed._replace(query=urlencode(kept))) + + @staticmethod + def _warn_if_db_ahead_of_head(migrations_dir: str) -> None: + """ + Log a warning if _prisma_migrations contains applied migrations with + timestamps newer than every migration this build ships. + + This is informational only for the v2 resolver — it tells the operator + the DB was likely migrated by a newer deployment, which is usually a + signal that this (older) version shouldn't run against it. We do NOT + block startup: many users have weird _prisma_migrations state from + prior thrashing bugs, and blocking them would be a breaking change. + + Safe no-op if psycopg isn't installed or DB isn't reachable. + """ + database_url = os.getenv("DATABASE_URL") + if not database_url: + return + + try: + import psycopg + except ImportError: + return + + cleaned_url = ProxyExtrasDBManager._strip_prisma_query_params(database_url) + known = set(ProxyExtrasDBManager._get_migration_names(migrations_dir)) + + try: + with psycopg.connect(cleaned_url, connect_timeout=10) as conn: + try: + rows = conn.execute( + "SELECT migration_name FROM _prisma_migrations " + "WHERE finished_at IS NOT NULL AND rolled_back_at IS NULL" + ).fetchall() + except psycopg.errors.UndefinedTable: + return + except psycopg.OperationalError: + return + + applied = {r[0] for r in rows} + unknown = applied - known + if not unknown: + return + + head_newest_ts = _max_migration_timestamp(known) + hostile = { + name for name in unknown if _migration_timestamp(name) > head_newest_ts + } + if not hostile: + return + + sorted_hostile = sorted(hostile) + logger.warning( + "Database has %d migration(s) applied that are NEWER than any " + "migration this LiteLLM version ships. This usually means the " + "database was migrated by a newer LiteLLM deployment. Some API " + "endpoints may fail because this proxy's Prisma client does not " + "know about those schema changes. Consider upgrading this " + "deployment. Unknown: %s", + len(hostile), + ", ".join(sorted_hostile[:5]) + (" ..." if len(sorted_hostile) > 5 else ""), + ) + + @staticmethod + def _setup_database_v2(use_migrate: bool) -> bool: + """ + v2 migration resolver (opt-in via --use_v2_migration_resolver). + + Runs `prisma migrate deploy` and handles standard recovery paths + (P3005 baseline, P3009/P3018 idempotent errors). Critically, it does + NOT call `_resolve_all_migrations` — the diff-and-force recovery that + caused schema thrashing when two LiteLLM versions contended for the + same DB during rolling deploys. + + Ahead-of-HEAD state (DB has migrations newer than this build ships) + is logged as a warning, not a fatal error — users whose DBs got into + weird shapes from the old thrashing should still be able to start. + """ + schema_path = ProxyExtrasDBManager._get_prisma_dir() + "/schema.prisma" + migrations_dir = ProxyExtrasDBManager._get_prisma_dir() + + if not use_migrate: + # Preserve `prisma db push` path unchanged. + original_dir = os.getcwd() + os.chdir(migrations_dir) + try: + subprocess.run( + [_get_prisma_command(), "db", "push", "--accept-data-loss"], + timeout=60, + check=True, + env=_get_prisma_env(), + ) + return True + finally: + os.chdir(original_dir) + + # Informational — never blocks. + ProxyExtrasDBManager._warn_if_db_ahead_of_head(migrations_dir) + + original_dir = os.getcwd() + os.chdir(migrations_dir) + try: + for attempt in range(4): + try: + result = subprocess.run( + [_get_prisma_command(), "migrate", "deploy"], + timeout=60, + check=True, + capture_output=True, + text=True, + env=_get_prisma_env(), + ) + logger.info(f"prisma migrate deploy stdout: {result.stdout}") + return True + + except subprocess.TimeoutExpired: + logger.info( + f"prisma migrate deploy attempt {attempt + 1} timed out, retrying" + ) + time.sleep(random.randrange(5, 15)) + continue + + except subprocess.CalledProcessError as e: + stderr = e.stderr or "" + + if "P3005" in stderr and "database schema is not empty" in stderr: + logger.info( + "Schema exists but no migrations ledger — creating baseline" + ) + ProxyExtrasDBManager._create_baseline_migration(schema_path) + continue + + if "P3009" in stderr: + migration_match = re.search(r"`(\d+_\S+?)`", stderr) + if ( + migration_match + and ProxyExtrasDBManager._is_idempotent_error(stderr) + ): + name = migration_match.group(1) + logger.info( + f"Migration {name} failed idempotently — marking applied and retrying" + ) + try: + ProxyExtrasDBManager._roll_back_migration(name) + except ( + subprocess.CalledProcessError, + subprocess.TimeoutExpired, + ): + pass + ProxyExtrasDBManager._resolve_specific_migration(name) + continue + raise RuntimeError( + "Database migration failed and cannot be auto-recovered. " + f"Manual intervention required.\n\nPrisma error:\n{stderr}" + ) from e + + if "P3018" in stderr: + if ProxyExtrasDBManager._is_permission_error(stderr): + raise RuntimeError( + "Database migration failed due to insufficient " + "permissions. Please grant the required privileges " + f"and retry.\n\nPrisma error:\n{stderr}" + ) from e + + migration_match = re.search( + r"Migration name: (\d+_\S+)", stderr + ) + if ( + migration_match + and ProxyExtrasDBManager._is_idempotent_error(stderr) + ): + name = migration_match.group(1) + logger.info( + f"Migration {name} SQL hit idempotent error — marking applied and retrying" + ) + try: + ProxyExtrasDBManager._roll_back_migration(name) + except ( + subprocess.CalledProcessError, + subprocess.TimeoutExpired, + ): + pass + ProxyExtrasDBManager._resolve_specific_migration(name) + continue + + raise RuntimeError( + "Database migration failed and cannot be auto-recovered. " + f"Manual intervention required.\n\nPrisma error:\n{stderr}" + ) from e + + raise RuntimeError( + "Database migration failed and cannot be auto-recovered. " + f"Manual intervention required.\n\nPrisma error:\n{stderr}" + ) from e + + raise RuntimeError( + "Database migration failed after 4 attempts (persistent timeouts). " + "Check database connectivity and load." + ) + finally: + os.chdir(original_dir) + + @staticmethod + def setup_database( + use_migrate: bool = False, use_v2_resolver: bool = False + ) -> bool: """ Set up the database using either prisma migrate or prisma db push Uses migrations from litellm-proxy-extras package Args: - schema_path (str): Path to the Prisma schema file - use_migrate (bool): Whether to use prisma migrate instead of db push + use_migrate: Whether to use prisma migrate instead of db push + use_v2_resolver: Opt into the v2 migration resolver (safer during + rolling deploys; does not run the diff-and-force recovery + that causes schema thrashing). Defaults to False for + backwards compatibility. Returns: bool: True if setup was successful, False otherwise """ + if use_v2_resolver: + logger.info("Using v2 migration resolver (--use_v2_migration_resolver)") + return ProxyExtrasDBManager._setup_database_v2(use_migrate=use_migrate) + schema_path = ProxyExtrasDBManager._get_prisma_dir() + "/schema.prisma" for attempt in range(4): original_dir = os.getcwd() diff --git a/litellm-proxy-extras/tests/test_setup_database_fail_fast.py b/litellm-proxy-extras/tests/test_setup_database_fail_fast.py new file mode 100644 index 00000000000..38df390a42d --- /dev/null +++ b/litellm-proxy-extras/tests/test_setup_database_fail_fast.py @@ -0,0 +1,158 @@ +"""Regression tests for ProxyExtrasDBManager v2 migration resolver. + +The v2 resolver is opt-in via `--use_v2_migration_resolver` / the +`use_v2_resolver=True` kwarg. These tests exercise the v2 path; the v1 +(default) behavior is unchanged from pre-fix. +""" + +import subprocess +from unittest.mock import patch + +import pytest + +from litellm_proxy_extras.utils import ( + ProxyExtrasDBManager, + _max_migration_timestamp, + _migration_timestamp, +) + + +def _fake_migrate_deploy_failure(returncode: int, stderr: str): + def _run(*args, **kwargs): + raise subprocess.CalledProcessError( + returncode=returncode, + cmd=args[0], + stderr=stderr, + output="", + ) + + return _run + + +def test_v2_p3018_permission_error_raises_runtime_error(monkeypatch, tmp_path): + """v2: a permission failure during migrate deploy raises RuntimeError.""" + monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@localhost:9/x") + monkeypatch.setattr( + ProxyExtrasDBManager, "_warn_if_db_ahead_of_head", lambda _: None + ) + monkeypatch.setattr(ProxyExtrasDBManager, "_get_prisma_dir", lambda: str(tmp_path)) + (tmp_path / "schema.prisma").write_text("// stub") + + stderr = ( + "Error: P3018\nMigration name: 20250326162113_baseline\n" + "Database error code: 42501\npermission denied for schema public" + ) + with patch("subprocess.run", side_effect=_fake_migrate_deploy_failure(1, stderr)): + with pytest.raises(RuntimeError, match="permission"): + ProxyExtrasDBManager.setup_database(use_migrate=True, use_v2_resolver=True) + + +def test_v2_non_idempotent_p3009_raises_runtime_error(monkeypatch, tmp_path): + """v2: a non-idempotent migration failure raises (no silent recovery).""" + monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@localhost:9/x") + monkeypatch.setattr( + ProxyExtrasDBManager, "_warn_if_db_ahead_of_head", lambda _: None + ) + monkeypatch.setattr(ProxyExtrasDBManager, "_get_prisma_dir", lambda: str(tmp_path)) + (tmp_path / "schema.prisma").write_text("// stub") + + stderr = ( + "Error: P3009\nMigration `20260101000000_genuinely_broken` failed\n" + 'Reason: syntax error at or near "BRKN" LINE 42' + ) + with patch("subprocess.run", side_effect=_fake_migrate_deploy_failure(1, stderr)): + with pytest.raises(RuntimeError, match="cannot be auto-recovered"): + ProxyExtrasDBManager.setup_database(use_migrate=True, use_v2_resolver=True) + + +def test_strip_prisma_query_params_removes_connection_limit(): + """DATABASE_URLs with Prisma-specific params should be parseable by psycopg.""" + url = "postgresql://u:p@h:5432/db?connection_limit=100&pool_timeout=60&sslmode=require" + stripped = ProxyExtrasDBManager._strip_prisma_query_params(url) + assert "connection_limit" not in stripped + assert "pool_timeout" not in stripped + assert "sslmode=require" in stripped + + +def test_strip_prisma_query_params_passthrough_no_query(): + """URLs without query strings are returned unchanged.""" + url = "postgresql://u:p@h:5432/db" + assert ProxyExtrasDBManager._strip_prisma_query_params(url) == url + + +def test_migration_timestamp_extracts_leading_digits(): + assert _migration_timestamp("20260101000000_add_foo") == 20260101000000 + assert _migration_timestamp("20250326162113_baseline") == 20250326162113 + + +def test_migration_timestamp_returns_zero_on_malformed(): + assert _migration_timestamp("0_init") == 0 + assert _migration_timestamp("not_a_migration") == 0 + + +def test_max_migration_timestamp(): + names = {"20250326000000_a", "20260415000000_b", "20251115000000_c"} + assert _max_migration_timestamp(names) == 20260415000000 + + +def test_max_migration_timestamp_empty_set(): + assert _max_migration_timestamp(set()) == 0 + + +def test_v1_default_still_calls_resolve_all_migrations(monkeypatch, tmp_path): + """v1 (default) continues to call _resolve_all_migrations on the happy path. + + This is the existing buggy behavior — we're not fixing it in v1, only + offering v2 as opt-in. This test pins the default so that a future + inadvertent default flip is caught. + """ + monkeypatch.setattr(ProxyExtrasDBManager, "_get_prisma_dir", lambda: str(tmp_path)) + (tmp_path / "schema.prisma").write_text("// stub") + + # Stub `prisma migrate deploy` to claim success with pending migrations + # applied, which is the code path that triggers the legacy post-migration + # sanity check (a call to _resolve_all_migrations). + class FakeResult: + stdout = "Applied migration.\n" + stderr = "" + + def fake_run(cmd, *args, **kwargs): + return FakeResult() + + resolve_called = {"n": 0} + + def fake_resolve(*args, **kwargs): + resolve_called["n"] += 1 + + monkeypatch.setattr("subprocess.run", fake_run) + monkeypatch.setattr(ProxyExtrasDBManager, "_resolve_all_migrations", fake_resolve) + + ok = ProxyExtrasDBManager.setup_database(use_migrate=True) # v2 flag NOT set + assert ok is True + assert resolve_called["n"] == 1, "v1 default should still invoke the legacy path" + + +def test_v2_does_not_call_resolve_all_migrations(monkeypatch, tmp_path): + """v2 must never call _resolve_all_migrations — that's the bug it fixes.""" + monkeypatch.setattr( + ProxyExtrasDBManager, "_warn_if_db_ahead_of_head", lambda _: None + ) + monkeypatch.setattr(ProxyExtrasDBManager, "_get_prisma_dir", lambda: str(tmp_path)) + (tmp_path / "schema.prisma").write_text("// stub") + + class FakeResult: + stdout = "Applied migration.\n" + stderr = "" + + monkeypatch.setattr("subprocess.run", lambda *a, **kw: FakeResult()) + + resolve_called = {"n": 0} + monkeypatch.setattr( + ProxyExtrasDBManager, + "_resolve_all_migrations", + lambda *a, **kw: resolve_called.__setitem__("n", resolve_called["n"] + 1), + ) + + ok = ProxyExtrasDBManager.setup_database(use_migrate=True, use_v2_resolver=True) + assert ok is True + assert resolve_called["n"] == 0, "v2 must not invoke the diff-and-force recovery" diff --git a/litellm/proxy/db/prisma_client.py b/litellm/proxy/db/prisma_client.py index 114103508ea..73735796eb3 100644 --- a/litellm/proxy/db/prisma_client.py +++ b/litellm/proxy/db/prisma_client.py @@ -403,10 +403,18 @@ class PrismaManager: return dname @staticmethod - def setup_database(use_migrate: bool = False) -> bool: + def setup_database( + use_migrate: bool = False, use_v2_resolver: bool = False + ) -> bool: """ Set up the database using either prisma migrate or prisma db push + Args: + use_migrate: Use `prisma migrate deploy` instead of `db push`. + use_v2_resolver: Opt into the v2 migration resolver that avoids + the diff-and-force recovery behavior (which caused schema + thrashing during rolling deploys). Defaults to False. + Returns: bool: True if setup was successful, False otherwise """ @@ -427,7 +435,10 @@ class PrismaManager: prisma_dir = PrismaManager._get_prisma_dir() - return ProxyExtrasDBManager.setup_database(use_migrate=use_migrate) + return ProxyExtrasDBManager.setup_database( + use_migrate=use_migrate, + use_v2_resolver=use_v2_resolver, + ) else: # Use prisma db push with increased timeout subprocess.run( diff --git a/litellm/proxy/proxy_cli.py b/litellm/proxy/proxy_cli.py index f1e5938c1f4..3845203bb9d 100644 --- a/litellm/proxy/proxy_cli.py +++ b/litellm/proxy/proxy_cli.py @@ -577,6 +577,16 @@ class ProxyInitializationHelpers: help="Exit with error if database migration fails on startup.", envvar="ENFORCE_PRISMA_MIGRATION_CHECK", ) +@click.option( + "--use_v2_migration_resolver", + is_flag=True, + default=False, + help=( + "Opt into the v2 migration resolver. Avoids the diff-and-force recovery " + "path that can cause schema thrashing during rolling deploys where two " + "LiteLLM versions contend for the same DB. Default is the v1 resolver." + ), +) @click.option( "--reload", is_flag=True, @@ -624,6 +634,7 @@ def run_server( # noqa: PLR0915 keepalive_timeout, max_requests_before_restart, enforce_prisma_migration_check: bool, + use_v2_migration_resolver: bool, reload: bool, ): if setup: @@ -893,9 +904,31 @@ def run_server( # noqa: PLR0915 ): check_prisma_schema_diff(db_url=None) else: - if not PrismaManager.setup_database( - use_migrate=not use_prisma_db_push - ): + if not use_v2_migration_resolver: + print( # noqa + "\033[1;33mLiteLLM Proxy: Using default (v1) migration resolver. " + "If your deployment has seen schema thrashing during rolling " + "deploys, try --use_v2_migration_resolver (safer: avoids the " + "diff-and-force recovery that caused the thrash).\033[0m" + ) + try: + setup_ok = PrismaManager.setup_database( + use_migrate=not use_prisma_db_push, + use_v2_resolver=use_v2_migration_resolver, + ) + except RuntimeError as e: + # v2 resolver raises on unrecoverable migration errors + # (e.g. non-idempotent failures, permission issues). + # v1 never raises here, so this only fires when the + # operator opted into v2. + print( # noqa + "\033[1;31mLiteLLM Proxy: Database migration cannot proceed. " + f"{e}\033[0m", + file=sys.stderr, + flush=True, + ) + sys.exit(2) + if not setup_ok: if enforce_prisma_migration_check: print( # noqa "\033[1;31mLiteLLM Proxy: Database setup failed after multiple retries. " From ee550e1949495d5e752528c6c57e6ba3506f8836 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 14:40:11 -0700 Subject: [PATCH 066/165] [Test] CI: add v2 migration resolver coverage with local Postgres Adds end-to-end CI coverage for `--use_v2_migration_resolver` via a new job `installing_litellm_on_python_v2_migration_resolver`: - Clones the pytest smoke path from `installing_litellm_on_python` but uses a local Postgres sidecar instead of the shared DB to prevent collisions with the v1 variant. - Runs only the new `test_litellm_proxy_server_config_no_general_settings_v2_resolver` which spawns the proxy with `--use_v2_migration_resolver` and smoke-tests `/health/liveliness` and `/chat/completions`. Refactors `test_basic_python_version.py`: - Extracts the proxy spawn + smoke-test body into `_run_proxy_server_smoke_test` so the v1 and v2 tests share the same code path. - The existing `test_litellm_proxy_server_config_no_general_settings` is now a thin wrapper that passes no extra args (v1 default, unchanged). - Adds `..._v2_resolver` variant that passes `--use_v2_migration_resolver`. The existing `installing_litellm_on_python` / `installing_litellm_on_python_3_13` jobs filter out the v2 variant via `-k "not v2_resolver"` so they keep running only against their shared DB, unchanged behavior. --- .circleci/config.yml | 53 ++++++++++++++++++- .../test_basic_python_version.py | 23 +++++++- 2 files changed, 72 insertions(+), 4 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 8c75bdc5f33..db8e7d49d71 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1529,7 +1529,50 @@ jobs: command: | pwd ls - uv run --no-sync python -m pytest -vv tests/local_testing/test_basic_python_version.py + uv run --no-sync python -m pytest -vv tests/local_testing/test_basic_python_version.py -k "not v2_resolver" + + installing_litellm_on_python_v2_migration_resolver: + docker: + - image: cimg/python:3.11 + auth: + username: ${DOCKERHUB_USERNAME} + password: ${DOCKERHUB_PASSWORD} + - image: cimg/postgres:16.0 + environment: + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres + POSTGRES_DB: litellm_test + working_directory: ~/project + environment: + DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/litellm_test" + + steps: + - checkout + - setup_google_dns + - run: + name: Install Dependencies + command: | + curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh + echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - + env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh + rm -f /tmp/uv-install.sh + echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" + export PATH="$HOME/.local/bin:$PATH" + if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then + export PATH="$HOME/miniconda/bin:$PATH" + source "$HOME/miniconda/etc/profile.d/conda.sh" + conda activate myenv + fi + uv sync --frozen --all-groups --all-extras --python "$(which python)" + - setup_litellm_enterprise_pip + - wait_for_service: + url: tcp://localhost:5432 + timeout: "60" + - run: + name: Run v2 migration resolver proxy smoke test + command: | + uv run --no-sync python -m pytest -vv \ + tests/local_testing/test_basic_python_version.py::test_litellm_proxy_server_config_no_general_settings_v2_resolver installing_litellm_on_python_3_13: docker: @@ -1563,7 +1606,7 @@ jobs: command: | pwd ls - uv run --no-sync python -m pytest -v tests/local_testing/test_basic_python_version.py + uv run --no-sync python -m pytest -v tests/local_testing/test_basic_python_version.py -k "not v2_resolver" helm_chart_testing: machine: image: ubuntu-2204:2023.10.1 # Use machine executor instead of docker @@ -3544,6 +3587,12 @@ workflows: only: - main - /litellm_.*/ + - installing_litellm_on_python_v2_migration_resolver: + filters: + branches: + only: + - main + - /litellm_.*/ - helm_chart_testing: requires: - build_docker_database_image diff --git a/tests/local_testing/test_basic_python_version.py b/tests/local_testing/test_basic_python_version.py index 37e23d64677..8308e0d6033 100644 --- a/tests/local_testing/test_basic_python_version.py +++ b/tests/local_testing/test_basic_python_version.py @@ -100,8 +100,12 @@ import pytest import requests -def test_litellm_proxy_server_config_no_general_settings(): - # Sync the local litellm packages into the project environment +def _run_proxy_server_smoke_test(extra_proxy_args=None): + """Sync deps, generate Prisma client, start proxy with optional extra args, + send a health check + chat/completions request, and tear down.""" + if extra_proxy_args is None: + extra_proxy_args = [] + server_process = None try: _run_uv( @@ -144,6 +148,7 @@ def test_litellm_proxy_server_config_no_general_settings(): "litellm.proxy.proxy_cli", "--config", config_fp, + *extra_proxy_args, ], cwd=PROJECT_ROOT, ) @@ -182,3 +187,17 @@ def test_litellm_proxy_server_config_no_general_settings(): # Additional assertions can be added here assert True + + +def test_litellm_proxy_server_config_no_general_settings(): + """Exercises the default (v1) migration resolver.""" + _run_proxy_server_smoke_test() + + +def test_litellm_proxy_server_config_no_general_settings_v2_resolver(): + """Exercises the opt-in v2 migration resolver. + + Runs in a separate CI job against a local Postgres to avoid collisions + with the v1 variant when they share a database. + """ + _run_proxy_server_smoke_test(extra_proxy_args=["--use_v2_migration_resolver"]) From 88b1823f51128fdc582c411b27fe1d7903bba948 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 14:45:29 -0700 Subject: [PATCH 067/165] [Test] Fix setup_database call-signature assertions for v2 flag Existing tests pinned exact kwargs on `PrismaManager.setup_database`, but the opt-in v2 resolver added `use_v2_resolver=False` to every call. Update the three assertions to reflect the new signature. Fixes: - TestHealthAppFactory::test_use_prisma_db_push_flag_behavior - TestHealthAppFactory::test_startup_fails_when_db_setup_fails --- tests/test_litellm/proxy/test_proxy_cli.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/tests/test_litellm/proxy/test_proxy_cli.py b/tests/test_litellm/proxy/test_proxy_cli.py index 7d32de3dbba..e5fcc6001d9 100644 --- a/tests/test_litellm/proxy/test_proxy_cli.py +++ b/tests/test_litellm/proxy/test_proxy_cli.py @@ -744,7 +744,9 @@ class TestHealthAppFactory: # Test 1: Without --use_prisma_db_push flag (default behavior) # use_prisma_db_push should be False (default), so use_migrate should be True run_server.main(["--local", "--skip_server_startup"], standalone_mode=False) - mock_setup_database.assert_called_with(use_migrate=True) + mock_setup_database.assert_called_with( + use_migrate=True, use_v2_resolver=False + ) # Reset mocks mock_setup_database.reset_mock() @@ -757,7 +759,9 @@ class TestHealthAppFactory: ["--local", "--skip_server_startup", "--use_prisma_db_push"], standalone_mode=False, ) - mock_setup_database.assert_called_with(use_migrate=False) + mock_setup_database.assert_called_with( + use_migrate=False, use_v2_resolver=False + ) @patch("subprocess.run") @patch("atexit.register") @@ -822,7 +826,9 @@ class TestHealthAppFactory: standalone_mode=False, ) assert exc_info.value.code == 1 - mock_setup_database.assert_called_once_with(use_migrate=True) + mock_setup_database.assert_called_once_with( + use_migrate=True, use_v2_resolver=False + ) # --- Module-level helpers for worker startup hook tests --- From 8a9457e0c02ad6bd5398871df740316643de3a03 Mon Sep 17 00:00:00 2001 From: shivam Date: Tue, 21 Apr 2026 15:08:01 -0700 Subject: [PATCH 068/165] style: apply black to litellm/router.py Made-with: Cursor --- litellm/router.py | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/litellm/router.py b/litellm/router.py index db250b5a19e..5c336b7d9c8 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -5366,14 +5366,17 @@ class Router: e, (litellm.ContextWindowExceededError, litellm.ContentPolicyViolationError), ) - _request_team_id: Optional[str] = ( - kwargs.get("metadata", {}) or {} - ).get("user_api_key_team_id") + _request_team_id: Optional[str] = (kwargs.get("metadata", {}) or {}).get( + "user_api_key_team_id" + ) # Use wildcard-aware lookup so order-based fallback also works for model # groups resolved via pattern routing (e.g. `openai/*` -> `openai/gpt-4.1-mini`). - all_deployments = self.get_model_list( - model_name=original_model_group, team_id=_request_team_id - ) or [] + all_deployments = ( + self.get_model_list( + model_name=original_model_group, team_id=_request_team_id + ) + or [] + ) _order_set: set = { litellm.utils._get_deployment_order(d) for d in all_deployments From 8a4a775b1ba9e13353d594005343b612bc7a686b Mon Sep 17 00:00:00 2001 From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com> Date: Tue, 21 Apr 2026 15:24:32 -0700 Subject: [PATCH 069/165] fix(logging): add litellm_call_id to StandardLoggingPayload and OTel span (#26133) * add litellm_call_id field to StandardLoggingPayload * populate litellm_call_id in get_standard_logging_object_payload * emit litellm.call_id span attribute in OTel integration * test: litellm_call_id is present in StandardLoggingPayload * test: litellm.call_id emitted as OTel span attribute * test: allow litellm. prefix attributes in redacted span validator --- litellm/integrations/opentelemetry.py | 8 ++++++ litellm/litellm_core_utils/litellm_logging.py | 2 ++ litellm/types/utils.py | 1 + .../test_otel_logging.py | 1 + .../integrations/test_opentelemetry.py | 23 ++++++++++++++++ .../test_litellm_logging.py | 26 +++++++++++++++++++ 6 files changed, 61 insertions(+) diff --git a/litellm/integrations/opentelemetry.py b/litellm/integrations/opentelemetry.py index ecfb42cea7b..7ff360758e8 100644 --- a/litellm/integrations/opentelemetry.py +++ b/litellm/integrations/opentelemetry.py @@ -1615,6 +1615,14 @@ class OpenTelemetry(CustomLogger): value=response_id, ) + litellm_call_id = standard_logging_payload.get("litellm_call_id") + if litellm_call_id: + self.safe_set_attribute( + span=span, + key="litellm.call_id", + value=litellm_call_id, + ) + # The model used to generate the response. if response_obj and response_obj.get("model"): self.safe_set_attribute( diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py index fd14f55add3..625cb83724b 100644 --- a/litellm/litellm_core_utils/litellm_logging.py +++ b/litellm/litellm_core_utils/litellm_logging.py @@ -5512,6 +5512,8 @@ def get_standard_logging_object_payload( payload: StandardLoggingPayload = StandardLoggingPayload( id=str(id), + litellm_call_id=kwargs.get("litellm_call_id") + or litellm_params.get("litellm_call_id"), trace_id=StandardLoggingPayloadSetup._get_standard_logging_payload_trace_id( logging_obj=logging_obj, litellm_params=litellm_params, diff --git a/litellm/types/utils.py b/litellm/types/utils.py index 4fe4b124da9..e3058d106a6 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -2851,6 +2851,7 @@ class StandardAuditLogPayload(TypedDict): class StandardLoggingPayload(TypedDict): id: str trace_id: str # Trace multiple LLM calls belonging to same overall request (e.g. fallbacks/retries) + litellm_call_id: Optional[str] # UUID returned in x-litellm-call-id response header call_type: str stream: Optional[bool] response_cost: float diff --git a/tests/logging_callback_tests/test_otel_logging.py b/tests/logging_callback_tests/test_otel_logging.py index fdb333899cc..ea1c884c324 100644 --- a/tests/logging_callback_tests/test_otel_logging.py +++ b/tests/logging_callback_tests/test_otel_logging.py @@ -253,6 +253,7 @@ def validate_redacted_message_span_attributes(span): or attr.startswith("gen_ai.cost.") or attr.startswith("gen_ai.operation.") or attr.startswith("gen_ai.request.") + or attr.startswith("litellm.") ), f"Non-metadata attribute found: {attr}" pass diff --git a/tests/test_litellm/integrations/test_opentelemetry.py b/tests/test_litellm/integrations/test_opentelemetry.py index 725836e1340..e723298b1c9 100644 --- a/tests/test_litellm/integrations/test_opentelemetry.py +++ b/tests/test_litellm/integrations/test_opentelemetry.py @@ -2752,3 +2752,26 @@ class TestResponseIdFallback(unittest.TestCase): mock_span.set_attribute.assert_any_call( "gen_ai.response.id", "litellm-img-call-101" ) + + def test_litellm_call_id_emitted_as_span_attribute(self): + """litellm.call_id must be set on the span from standard_logging_payload.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + call_id = "my-litellm-call-uuid-456" + kwargs = { + "model": "gpt-4o", + "optional_params": {}, + "litellm_params": {"custom_llm_provider": "openai"}, + "standard_logging_object": { + "id": "chatcmpl-provider-id", + "litellm_call_id": call_id, + "call_type": "completion", + "metadata": {}, + }, + } + response_obj = {"id": "chatcmpl-provider-id", "model": "gpt-4o"} + + otel.set_attributes(mock_span, kwargs, response_obj) + + mock_span.set_attribute.assert_any_call("litellm.call_id", call_id) diff --git a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py index c3849e5869a..cf7be6bf1c7 100644 --- a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py +++ b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py @@ -2410,3 +2410,29 @@ def test_get_additional_headers_reset_fields_preserved(): assert result is not None assert result["x_ratelimit_reset_requests"] == "1s" # type: ignore assert result["x_ratelimit_reset_tokens"] == "100ms" # type: ignore + + +# ── litellm_call_id propagation ─────────────────────────────────────────────── + + +def test_get_standard_logging_object_payload_includes_litellm_call_id(logging_obj): + """litellm_call_id from kwargs must appear in the returned StandardLoggingPayload.""" + import datetime + + from litellm.litellm_core_utils.litellm_logging import ( + get_standard_logging_object_payload, + ) + + call_id = "test-call-id-abc-123" + now = datetime.datetime.now() + payload = get_standard_logging_object_payload( + kwargs={"litellm_call_id": call_id, "model": "gpt-4o", "messages": []}, + init_response_obj={}, + start_time=now, + end_time=now, + logging_obj=logging_obj, + status="success", + ) + + assert payload is not None + assert payload["litellm_call_id"] == call_id From 731c549876acb95147788e1ee4d397e312ddcb2b Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 15:30:42 -0700 Subject: [PATCH 070/165] [Fix] Docker: restore pre-uv Prisma cache path for /app/.cache mounts MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The uv migration added PRISMA_BINARY_CACHE_DIR=/app/.cache/... and XDG_CACHE_HOME=/app/.cache to the runtime stages of Dockerfile and Dockerfile.database. BINARY_PATHS in the generated prisma client was baked to point into /app/.cache, so any deployment that mounts a volume there (common with securityContext.readOnlyRootFilesystem: true and an emptyDir/tmpfs for a writable cache) wipes the pre-downloaded query engine at pod startup, producing BinaryNotFoundError during connect(). Before the uv migration, prisma-python defaulted to $HOME/.cache = /root/.cache (runtime stage runs as root), which was unaffected by any /app/* volume mounts. Restore that behaviour: drop the env vars from the runtime stage, re-run prisma generate there so the query engine AND the baked BINARY_PATHS both land in /root/.cache, and remove the stale builder-stage /app/.cache (~800 MB). Dockerfile.non_root is intentionally left alone — its /app/.cache location is by design for the hardened offline-install flow. --- Dockerfile | 12 +++++++++--- docker/Dockerfile.database | 12 +++++++++--- 2 files changed, 18 insertions(+), 6 deletions(-) diff --git a/Dockerfile b/Dockerfile index a2cd1cb3ed2..0deddce3490 100644 --- a/Dockerfile +++ b/Dockerfile @@ -94,15 +94,21 @@ RUN apk add --no-cache bash openssl tzdata nodejs npm python3 libsndfile supervi { apk del --no-cache npm 2>/dev/null || true; } WORKDIR /app -ENV PRISMA_BINARY_CACHE_DIR=/app/.cache/prisma-python/binaries \ - XDG_CACHE_HOME=/app/.cache \ - PATH="/app/.venv/bin:${PATH}" +ENV PATH="/app/.venv/bin:${PATH}" COPY --from=builder /app /app RUN find /app/.venv -type f -path "*/tornado/test/*" -delete && \ find /app/.venv -type d -path "*/tornado/test" -delete +# Regenerate the Prisma client in the runtime stage so the baked-in +# BINARY_PATHS resolve to a location outside /app. Users with volume mounts +# that shadow /app/.cache (e.g. readOnlyRootFilesystem + emptyDir) would +# otherwise lose access to the pre-downloaded query engine at runtime. +# Drop the builder's /app/.cache afterwards — it's stale and adds ~800 MB +# the runtime doesn't use. +RUN rm -rf /app/.cache && prisma generate --schema=./schema.prisma + EXPOSE 4000/tcp COPY docker/supervisord.conf /etc/supervisord.conf diff --git a/docker/Dockerfile.database b/docker/Dockerfile.database index 57ecef81eb8..1eebc26731d 100644 --- a/docker/Dockerfile.database +++ b/docker/Dockerfile.database @@ -92,15 +92,21 @@ RUN apk add --no-cache bash openssl tzdata nodejs npm python3 libsndfile supervi { apk del --no-cache npm 2>/dev/null || true; } WORKDIR /app -ENV PRISMA_BINARY_CACHE_DIR=/app/.cache/prisma-python/binaries \ - XDG_CACHE_HOME=/app/.cache \ - PATH="/app/.venv/bin:${PATH}" +ENV PATH="/app/.venv/bin:${PATH}" COPY --from=builder /app /app RUN find /app/.venv -type f -path "*/tornado/test/*" -delete && \ find /app/.venv -type d -path "*/tornado/test" -delete +# Regenerate the Prisma client in the runtime stage so the baked-in +# BINARY_PATHS resolve to a location outside /app. Users with volume mounts +# that shadow /app/.cache (e.g. readOnlyRootFilesystem + emptyDir) would +# otherwise lose access to the pre-downloaded query engine at runtime. +# Drop the builder's /app/.cache afterwards — it's stale and adds ~800 MB +# the runtime doesn't use. +RUN rm -rf /app/.cache && prisma generate --schema=./schema.prisma + EXPOSE 4000/tcp COPY docker/supervisord.conf /etc/supervisord.conf From 9049f3786448e16acbccc8cb5c560c11883c50ea Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 15:34:24 -0700 Subject: [PATCH 071/165] [Fix] v2 migration resolver: address Greptile review findings MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Open the psycopg connection in `_warn_if_db_ahead_of_head` with autocommit=True. Without it, psycopg3's `with conn` calls COMMIT on clean exit, which fails after the `UndefinedTable` (fresh-DB) branch left the transaction in an aborted state — crashing first-run startups. - Wrap the v2 `prisma db push` path in try/except and raise RuntimeError on CalledProcessError/TimeoutExpired. Otherwise these propagate past proxy_cli.py's `except RuntimeError` as unhandled tracebacks. - Reword the loop-exhaustion error to cover the non-timeout exit path (repeated P3005/P3009/P3018 idempotent-recovery `continue`s), not just persistent timeouts. Adds a unit test for the db_push error wrapping. --- .../litellm_proxy_extras/utils.py | 21 ++++++++++++++++--- .../tests/test_setup_database_fail_fast.py | 12 +++++++++++ 2 files changed, 30 insertions(+), 3 deletions(-) diff --git a/litellm-proxy-extras/litellm_proxy_extras/utils.py b/litellm-proxy-extras/litellm_proxy_extras/utils.py index 04005ce2548..a234ad18ba8 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/utils.py +++ b/litellm-proxy-extras/litellm_proxy_extras/utils.py @@ -456,7 +456,13 @@ class ProxyExtrasDBManager: known = set(ProxyExtrasDBManager._get_migration_names(migrations_dir)) try: - with psycopg.connect(cleaned_url, connect_timeout=10) as conn: + # autocommit=True keeps the SELECT outside a transaction. Without + # it, psycopg3's `with conn` calls COMMIT on clean exit — which + # fails after `UndefinedTable` (fresh DB) leaves the transaction + # in an aborted state. + with psycopg.connect( + cleaned_url, connect_timeout=10, autocommit=True + ) as conn: try: rows = conn.execute( "SELECT migration_name FROM _prisma_migrations " @@ -521,6 +527,13 @@ class ProxyExtrasDBManager: env=_get_prisma_env(), ) return True + except ( + subprocess.CalledProcessError, + subprocess.TimeoutExpired, + ) as e: + # Re-raise as RuntimeError so proxy_cli.py's + # `except RuntimeError` catches it and exits cleanly. + raise RuntimeError(f"prisma db push failed.\n\nDetail: {e}") from e finally: os.chdir(original_dir) @@ -624,8 +637,10 @@ class ProxyExtrasDBManager: ) from e raise RuntimeError( - "Database migration failed after 4 attempts (persistent timeouts). " - "Check database connectivity and load." + "Database migration failed after 4 attempts (retry loop " + "exhausted by timeouts or repeated idempotent-recovery " + "continues). Check database connectivity, load, and " + "_prisma_migrations ledger state." ) finally: os.chdir(original_dir) diff --git a/litellm-proxy-extras/tests/test_setup_database_fail_fast.py b/litellm-proxy-extras/tests/test_setup_database_fail_fast.py index 38df390a42d..573137c90ed 100644 --- a/litellm-proxy-extras/tests/test_setup_database_fail_fast.py +++ b/litellm-proxy-extras/tests/test_setup_database_fail_fast.py @@ -132,6 +132,18 @@ def test_v1_default_still_calls_resolve_all_migrations(monkeypatch, tmp_path): assert resolve_called["n"] == 1, "v1 default should still invoke the legacy path" +def test_v2_db_push_wraps_subprocess_error_as_runtime_error(monkeypatch, tmp_path): + """v2: a failing `prisma db push` must raise RuntimeError, not leak + CalledProcessError past proxy_cli.py's `except RuntimeError`.""" + monkeypatch.setattr(ProxyExtrasDBManager, "_get_prisma_dir", lambda: str(tmp_path)) + (tmp_path / "schema.prisma").write_text("// stub") + + stderr = "db push error" + with patch("subprocess.run", side_effect=_fake_migrate_deploy_failure(1, stderr)): + with pytest.raises(RuntimeError, match="prisma db push failed"): + ProxyExtrasDBManager.setup_database(use_migrate=False, use_v2_resolver=True) + + def test_v2_does_not_call_resolve_all_migrations(monkeypatch, tmp_path): """v2 must never call _resolve_all_migrations — that's the bug it fixes.""" monkeypatch.setattr( From 1a0ac9634cd4bcef0044fc0c6c8aefc870679f7d Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Tue, 21 Apr 2026 15:38:58 -0700 Subject: [PATCH 072/165] Keep budget_reset_at off the user-settable budget allowlist MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit LiteLLM_BudgetTable is documented as "user-controllable params" and its model_fields.keys() is used as the allowlist for extracting budget fields from incoming API request bodies (management_helpers/utils.py:88, organization_endpoints.py:112/255/537/549, project_endpoints.py:197/245/632, customer_endpoints.py:598). Request models like NewOrganizationRequest inherit from LiteLLM_BudgetTable, so anything on the base class becomes user-settable — a caller could set budget_reset_at far in the future and evade budget cycling. Move budget_reset_at from the base class to LiteLLM_BudgetTableFull so it appears on API responses without becoming writable, and type LiteLLM_TeamMembership.litellm_budget_table as Union[Full, Base] so Pydantic picks Full when the data has server-managed fields (/team/info reads Prisma rows that include budget_reset_at and created_at) and Base when callers construct with only user-settable fields (existing auth tests and caches). --- litellm/proxy/_types.py | 18 ++++++++++++++---- 1 file changed, 14 insertions(+), 4 deletions(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 819a38eec19..9e3cd18ff55 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -1997,7 +1997,12 @@ class TeamRequest(LiteLLMPydanticObjectBase): class LiteLLM_BudgetTable(LiteLLMPydanticObjectBase): - """Represents user-controllable params for a LiteLLM_BudgetTable record""" + """Represents user-controllable params for a LiteLLM_BudgetTable record. + + Budget-write paths use `model_fields.keys()` on this class as an allowlist + for user input. Keep server-managed fields (e.g. `budget_reset_at`) on + `LiteLLM_BudgetTableFull` so they aren't user-settable. + """ budget_id: Optional[str] = None soft_budget: Optional[float] = None @@ -2007,7 +2012,6 @@ class LiteLLM_BudgetTable(LiteLLMPydanticObjectBase): rpm_limit: Optional[int] = None model_max_budget: Optional[dict] = None budget_duration: Optional[str] = None - budget_reset_at: Optional[datetime] = None allowed_models: Optional[List[str]] = ( None # per-member model scope; empty = inherit team models ) @@ -2016,8 +2020,9 @@ class LiteLLM_BudgetTable(LiteLLMPydanticObjectBase): class LiteLLM_BudgetTableFull(LiteLLM_BudgetTable): - """Represents all params for a LiteLLM_BudgetTable record""" + """LiteLLM_BudgetTable + server-managed fields returned on API responses.""" + budget_reset_at: Optional[datetime] = None created_at: datetime @@ -3696,7 +3701,12 @@ class LiteLLM_TeamMembership(LiteLLMPydanticObjectBase): budget_id: Optional[str] = None spend: Optional[float] = 0.0 total_spend: Optional[float] = 0.0 - litellm_budget_table: Optional[LiteLLM_BudgetTable] + # Union so Pydantic picks Full when data has server-managed fields + # (/team/info) and Base when callers/tests construct with only + # user-settable fields. + litellm_budget_table: Optional[ + Union[LiteLLM_BudgetTableFull, LiteLLM_BudgetTable] + ] def safe_get_team_member_rpm_limit(self) -> Optional[int]: if self.litellm_budget_table is not None: From a302613eb5fc9ea7539caafefeb06a23a08c941e Mon Sep 17 00:00:00 2001 From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com> Date: Tue, 21 Apr 2026 15:41:58 -0700 Subject: [PATCH 073/165] feat(bedrock): add support for bedrock-mantle endpoint (Claude Mythos Preview) (#26196) * add anthropic.claude-mythos-preview to model_prices_and_context_window.json * add mantle route to bedrock common_utils: route detection, chat config, messages config dispatch * add AmazonMantleConfig for bedrock/mantle /chat/completions endpoint * add AmazonMantleMessagesConfig for bedrock/mantle /messages endpoint * register AmazonMantleMessagesConfig in __init__.py and lazy imports registry * add unit tests for bedrock mantle route and config dispatch * add e2e tests for bedrock mantle: URL, body, SigV4 header, region routing --- litellm/__init__.py | 3 + litellm/_lazy_imports_registry.py | 5 + litellm/llms/bedrock/chat/mantle/__init__.py | 0 .../bedrock/chat/mantle/transformation.py | 91 +++++++++++ litellm/llms/bedrock/common_utils.py | 26 +++ .../bedrock/messages/mantle_transformation.py | 69 ++++++++ model_prices_and_context_window.json | 14 ++ tests/llm_translation/test_bedrock_mantle.py | 149 ++++++++++++++++++ .../test_litellm/llms/bedrock/test_mantle.py | 105 ++++++++++++ 9 files changed, 462 insertions(+) create mode 100644 litellm/llms/bedrock/chat/mantle/__init__.py create mode 100644 litellm/llms/bedrock/chat/mantle/transformation.py create mode 100644 litellm/llms/bedrock/messages/mantle_transformation.py create mode 100644 tests/llm_translation/test_bedrock_mantle.py create mode 100644 tests/test_litellm/llms/bedrock/test_mantle.py diff --git a/litellm/__init__.py b/litellm/__init__.py index f3bb60c6a09..89cef667c6e 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -1502,6 +1502,9 @@ if TYPE_CHECKING: from .llms.bedrock.messages.invoke_transformations.anthropic_claude3_transformation import ( AmazonAnthropicClaudeMessagesConfig as AmazonAnthropicClaudeMessagesConfig, ) + from .llms.bedrock.messages.mantle_transformation import ( + AmazonMantleMessagesConfig as AmazonMantleMessagesConfig, + ) from .llms.together_ai.chat import TogetherAIConfig as TogetherAIConfig from .llms.nlp_cloud.chat.handler import NLPCloudConfig as NLPCloudConfig from .llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import ( diff --git a/litellm/_lazy_imports_registry.py b/litellm/_lazy_imports_registry.py index 9164a3c8ae4..119e62a5b38 100644 --- a/litellm/_lazy_imports_registry.py +++ b/litellm/_lazy_imports_registry.py @@ -171,6 +171,7 @@ LLM_CONFIG_NAMES = ( "CohereChatConfig", "AnthropicMessagesConfig", "AmazonAnthropicClaudeMessagesConfig", + "AmazonMantleMessagesConfig", "TogetherAIConfig", "NLPCloudConfig", "VertexGeminiConfig", @@ -715,6 +716,10 @@ _LLM_CONFIGS_IMPORT_MAP = { ".llms.bedrock.messages.invoke_transformations.anthropic_claude3_transformation", "AmazonAnthropicClaudeMessagesConfig", ), + "AmazonMantleMessagesConfig": ( + ".llms.bedrock.messages.mantle_transformation", + "AmazonMantleMessagesConfig", + ), "TogetherAIConfig": (".llms.together_ai.chat", "TogetherAIConfig"), "NLPCloudConfig": (".llms.nlp_cloud.chat.handler", "NLPCloudConfig"), "VertexGeminiConfig": ( diff --git a/litellm/llms/bedrock/chat/mantle/__init__.py b/litellm/llms/bedrock/chat/mantle/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/litellm/llms/bedrock/chat/mantle/transformation.py b/litellm/llms/bedrock/chat/mantle/transformation.py new file mode 100644 index 00000000000..b9bea77c118 --- /dev/null +++ b/litellm/llms/bedrock/chat/mantle/transformation.py @@ -0,0 +1,91 @@ +""" +Transformation for Bedrock Mantle (Claude Mythos Preview) + +https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-anthropic-claude-mythos-preview.html + +The bedrock-mantle endpoint uses the Anthropic Messages API format but is served +at a different endpoint (bedrock-mantle.{region}.api.aws) with AWS SigV4 auth. +""" + +from typing import TYPE_CHECKING, Any, List, Optional + +from litellm.llms.bedrock.chat.invoke_transformations.anthropic_claude3_transformation import ( + AmazonAnthropicClaudeConfig, +) +from litellm.types.llms.openai import AllMessageValues + +if TYPE_CHECKING: + from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj + + LiteLLMLoggingObj = _LiteLLMLoggingObj +else: + LiteLLMLoggingObj = Any + +MANTLE_ENDPOINT_TEMPLATE = "https://bedrock-mantle.{region}.api.aws/v1/messages" + + +class AmazonMantleConfig(AmazonAnthropicClaudeConfig): + """ + Config for the bedrock-mantle endpoint (Claude Mythos Preview). + + Uses the Anthropic Messages API format with AWS SigV4 auth, but at a + different endpoint from bedrock-runtime. Model ID goes in the request body. + + Usage: model="bedrock/mantle/anthropic.claude-mythos-preview" + """ + + def get_complete_url( + self, + api_base: Optional[str], + api_key: Optional[str], + model: str, + optional_params: dict, + litellm_params: dict, + stream: Optional[bool] = None, + ) -> str: + region = self._get_aws_region_name(optional_params=optional_params, model=model) + return MANTLE_ENDPOINT_TEMPLATE.format(region=region) + + def transform_request( + self, + model: str, + messages: List[AllMessageValues], + optional_params: dict, + litellm_params: dict, + headers: dict, + ) -> dict: + # Strip the "mantle/" routing prefix to get the real model ID + model_id = model.replace("mantle/", "", 1) + + request = self._build_bedrock_anthropic_request_base( + model=model_id, + messages=messages, + optional_params=optional_params, + litellm_params=litellm_params, + headers=headers, + ) + # The parent strips "model" from the body (Invoke API puts it in URL). + # The mantle endpoint (Messages API) requires "model" in the body. + request["model"] = model_id + return request + + async def async_transform_request( + self, + model: str, + messages: List[AllMessageValues], + optional_params: dict, + litellm_params: dict, + headers: dict, + ) -> dict: + model_id = model.replace("mantle/", "", 1) + + request = self._build_bedrock_anthropic_request_base( + model=model_id, + messages=messages, + optional_params=optional_params, + litellm_params=litellm_params, + headers=headers, + ) + await self._async_convert_document_url_sources_to_base64(request) + request["model"] = model_id + return request diff --git a/litellm/llms/bedrock/common_utils.py b/litellm/llms/bedrock/common_utils.py index 52697d752be..9a97a134cc4 100644 --- a/litellm/llms/bedrock/common_utils.py +++ b/litellm/llms/bedrock/common_utils.py @@ -696,6 +696,7 @@ class BedrockModelInfo(BaseLLMModelInfo): "agentcore", "async_invoke", "openai", + "mantle", ]: """ Get the bedrock route for the given model. @@ -710,6 +711,7 @@ class BedrockModelInfo(BaseLLMModelInfo): "agentcore", "async_invoke", "openai", + "mantle", ], ] = { "invoke/": "invoke", @@ -719,6 +721,7 @@ class BedrockModelInfo(BaseLLMModelInfo): "agentcore/": "agentcore", "async_invoke/": "async_invoke", "openai/": "openai", + "mantle/": "mantle", } # Check explicit routes first @@ -770,6 +773,13 @@ class BedrockModelInfo(BaseLLMModelInfo): """ return "agentcore/" in model + @staticmethod + def _explicit_mantle_route(model: str) -> bool: + """ + Check if the model is an explicit mantle route (bedrock-mantle endpoint). + """ + return "mantle/" in model + @staticmethod def _explicit_converse_like_route(model: str) -> bool: """ @@ -809,6 +819,16 @@ class BedrockModelInfo(BaseLLMModelInfo): if BedrockModelInfo._explicit_converse_route(model): return None + ######################################################### + # Mantle route uses the bedrock-mantle endpoint (not bedrock-runtime) + ######################################################### + if BedrockModelInfo._explicit_mantle_route(model): + from litellm.llms.bedrock.messages.mantle_transformation import ( + AmazonMantleMessagesConfig, + ) + + return AmazonMantleMessagesConfig() + ######################################################### # This goes through litellm.AmazonAnthropicClaude3MessagesConfig() # Since bedrock Invoke supports Native Anthropic Messages API @@ -855,6 +875,12 @@ def get_bedrock_chat_config(model: str): ) return AmazonAgentCoreConfig() + elif bedrock_route == "mantle": + from litellm.llms.bedrock.chat.mantle.transformation import ( + AmazonMantleConfig, + ) + + return AmazonMantleConfig() # Handle provider-specific configs if bedrock_invoke_provider == "amazon": diff --git a/litellm/llms/bedrock/messages/mantle_transformation.py b/litellm/llms/bedrock/messages/mantle_transformation.py new file mode 100644 index 00000000000..3f04c8a3052 --- /dev/null +++ b/litellm/llms/bedrock/messages/mantle_transformation.py @@ -0,0 +1,69 @@ +""" +Transformation for Bedrock Mantle (Claude Mythos Preview) - /messages endpoint + +Inherits all Messages API request/response transformations from +AmazonAnthropicClaudeMessagesConfig. Overrides only the URL and model-prefix +stripping that are specific to the bedrock-mantle endpoint. +""" + +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +from litellm.llms.bedrock.messages.invoke_transformations.anthropic_claude3_transformation import ( + AmazonAnthropicClaudeMessagesConfig, +) +from litellm.types.router import GenericLiteLLMParams + +if TYPE_CHECKING: + from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj + + LiteLLMLoggingObj = _LiteLLMLoggingObj +else: + LiteLLMLoggingObj = Any + +MANTLE_ENDPOINT_TEMPLATE = "https://bedrock-mantle.{region}.api.aws/v1/messages" + + +class AmazonMantleMessagesConfig(AmazonAnthropicClaudeMessagesConfig): + """ + Config for the bedrock-mantle /messages endpoint (Claude Mythos Preview). + + The mantle endpoint uses the Anthropic Messages API format and requires the + model ID in the request body (unlike Bedrock Invoke which puts it in the URL). + """ + + def get_complete_url( + self, + api_base: Optional[str], + api_key: Optional[str], + model: str, + optional_params: dict, + litellm_params: dict, + stream: Optional[bool] = None, + ) -> str: + region = self._get_aws_region_name(optional_params=optional_params, model=model) + return MANTLE_ENDPOINT_TEMPLATE.format(region=region) + + def transform_anthropic_messages_request( + self, + model: str, + messages: List[Dict], + anthropic_messages_optional_request_params: Dict, + litellm_params: GenericLiteLLMParams, + headers: dict, + ) -> Dict: + # Strip "mantle/" routing prefix to get the real model ID + model_id = model.replace("mantle/", "", 1) + + request = super().transform_anthropic_messages_request( + model=model_id, + messages=messages, + anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, + litellm_params=litellm_params, + headers=headers, + ) + + # Parent (AmazonAnthropicClaudeMessagesConfig) removes "model" from the + # body (Bedrock Invoke puts model in the URL). The mantle endpoint + # (Messages API) requires "model" in the request body. + request["model"] = model_id + return request diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 72806369ea5..386532f07a3 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -1148,6 +1148,20 @@ "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true }, + "anthropic.claude-mythos-preview": { + "input_cost_per_token": 0, + "output_cost_per_token": 0, + "litellm_provider": "bedrock", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supports_function_calling": true, + "supports_vision": true, + "supports_prompt_caching": false, + "supports_reasoning": true, + "supports_tool_choice": true + }, "global.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, "cache_read_input_token_cost": 5e-07, diff --git a/tests/llm_translation/test_bedrock_mantle.py b/tests/llm_translation/test_bedrock_mantle.py new file mode 100644 index 00000000000..d545f78bc43 --- /dev/null +++ b/tests/llm_translation/test_bedrock_mantle.py @@ -0,0 +1,149 @@ +""" +E2E tests for Bedrock Mantle (Claude Mythos Preview) integration. + +Tests use a fake/mocked HTTP layer to verify the full request pipeline: +- correct endpoint URL +- model ID in the request body +- AWS SigV4 Authorization header present +- response parsing +""" + +import json +import os +import sys +from unittest.mock import MagicMock, patch + +import httpx +import pytest + +sys.path.insert(0, os.path.abspath("../..")) + +import litellm +from litellm.llms.custom_httpx.http_handler import HTTPHandler + +MODEL = "bedrock/mantle/anthropic.claude-mythos-preview" +REGION = "us-east-1" +EXPECTED_URL = f"https://bedrock-mantle.{REGION}.api.aws/v1/messages" + +FAKE_ANTHROPIC_RESPONSE = { + "id": "msg_fake123", + "type": "message", + "role": "assistant", + "model": "anthropic.claude-mythos-preview", + "content": [{"type": "text", "text": "Hello from Mythos!"}], + "stop_reason": "end_turn", + "stop_sequence": None, + "usage": {"input_tokens": 10, "output_tokens": 5}, +} + + +def _make_fake_response(body: dict) -> MagicMock: + mock_resp = MagicMock(spec=httpx.Response) + mock_resp.status_code = 200 + mock_resp.headers = httpx.Headers({"content-type": "application/json"}) + mock_resp.text = json.dumps(body) + mock_resp.json.return_value = body + mock_resp.is_error = False + mock_resp.raise_for_status = MagicMock() + return mock_resp + + +def test_mantle_request_url_and_body(): + """Verify the correct URL is called and model appears in the request body.""" + client = HTTPHandler() + + with patch.object( + client, "post", return_value=_make_fake_response(FAKE_ANTHROPIC_RESPONSE) + ) as mock_post: + try: + litellm.completion( + model=MODEL, + messages=[{"role": "user", "content": "Hello"}], + max_tokens=50, + aws_region_name=REGION, + aws_access_key_id="AKIAIOSFODNN7EXAMPLE", + aws_secret_access_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY", + client=client, + ) + except Exception: + pass # response parsing may fail on mock; we only care about the outgoing call + + mock_post.assert_called_once() + call_kwargs = mock_post.call_args.kwargs + + # Correct endpoint + assert ( + call_kwargs["url"] == EXPECTED_URL + ), f"Expected {EXPECTED_URL}, got {call_kwargs['url']}" + + # Request body has model ID (without "mantle/" prefix) + raw_data = call_kwargs.get("data") or call_kwargs.get("json") + body = json.loads(raw_data) if isinstance(raw_data, (str, bytes)) else raw_data + assert ( + body["model"] == "anthropic.claude-mythos-preview" + ), f"body['model'] = {body.get('model')}" + assert "messages" in body + assert body["max_tokens"] == 50 + + # AWS SigV4 Authorization header must be present + headers = call_kwargs.get("headers", {}) + assert "Authorization" in headers, f"No Authorization header in {headers}" + assert headers["Authorization"].startswith( + "AWS4-HMAC-SHA256" + ), f"Expected SigV4 auth, got: {headers['Authorization'][:50]}" + + +def test_mantle_request_does_not_include_mantle_prefix_in_body(): + """Ensure 'mantle/' never leaks into the request body.""" + client = HTTPHandler() + + with patch.object( + client, "post", return_value=_make_fake_response(FAKE_ANTHROPIC_RESPONSE) + ) as mock_post: + try: + litellm.completion( + model=MODEL, + messages=[{"role": "user", "content": "Hi"}], + max_tokens=10, + aws_region_name=REGION, + aws_access_key_id="AKIAIOSFODNN7EXAMPLE", + aws_secret_access_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY", + client=client, + ) + except Exception: + pass + + call_kwargs = mock_post.call_args.kwargs + raw_data = call_kwargs.get("data") or call_kwargs.get("json") + body = json.loads(raw_data) if isinstance(raw_data, (str, bytes)) else raw_data + + body_str = json.dumps(body) + assert "mantle/" not in body_str, f"'mantle/' leaked into body: {body_str}" + + +def test_mantle_region_reflected_in_url(): + """The region from aws_region_name must appear in the endpoint URL.""" + client = HTTPHandler() + + for region in ["us-east-1", "us-west-2", "eu-west-1"]: + with patch.object( + client, "post", return_value=_make_fake_response(FAKE_ANTHROPIC_RESPONSE) + ) as mock_post: + try: + litellm.completion( + model=MODEL, + messages=[{"role": "user", "content": "Hi"}], + max_tokens=10, + aws_region_name=region, + aws_access_key_id="AKIAIOSFODNN7EXAMPLE", + aws_secret_access_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY", + client=client, + ) + except Exception: + pass + + call_kwargs = mock_post.call_args.kwargs + expected = f"https://bedrock-mantle.{region}.api.aws/v1/messages" + assert ( + call_kwargs["url"] == expected + ), f"region={region}: expected URL {expected}, got {call_kwargs['url']}" diff --git a/tests/test_litellm/llms/bedrock/test_mantle.py b/tests/test_litellm/llms/bedrock/test_mantle.py new file mode 100644 index 00000000000..a74d5447f00 --- /dev/null +++ b/tests/test_litellm/llms/bedrock/test_mantle.py @@ -0,0 +1,105 @@ +""" +Unit tests for the Bedrock Mantle (Claude Mythos Preview) integration. + +Tests cover route detection, URL construction, and config dispatch for both +the /chat/completions and /messages endpoints. +""" + +from litellm.llms.bedrock.common_utils import BedrockModelInfo, get_bedrock_chat_config +from litellm.llms.bedrock.chat.mantle.transformation import AmazonMantleConfig +from litellm.llms.bedrock.messages.mantle_transformation import ( + AmazonMantleMessagesConfig, +) + + +def test_get_bedrock_route_mantle(): + assert ( + BedrockModelInfo.get_bedrock_route("mantle/anthropic.claude-mythos-preview") + == "mantle" + ) + + +def test_get_bedrock_route_mantle_does_not_match_other_routes(): + assert ( + BedrockModelInfo.get_bedrock_route("anthropic.claude-3-sonnet-20240229-v1:0") + != "mantle" + ) + assert ( + BedrockModelInfo.get_bedrock_route("converse/anthropic.claude-3-sonnet") + != "mantle" + ) + + +def test_explicit_mantle_route_flag(): + assert ( + BedrockModelInfo._explicit_mantle_route( + "mantle/anthropic.claude-mythos-preview" + ) + is True + ) + assert BedrockModelInfo._explicit_mantle_route("anthropic.claude-3-sonnet") is False + assert ( + BedrockModelInfo._explicit_mantle_route("converse/anthropic.claude-3-sonnet") + is False + ) + + +def test_mantle_url_construction(): + config = AmazonMantleConfig() + url = config.get_complete_url( + api_base=None, + api_key=None, + model="mantle/anthropic.claude-mythos-preview", + optional_params={"aws_region_name": "us-east-1"}, + litellm_params={}, + ) + assert url == "https://bedrock-mantle.us-east-1.api.aws/v1/messages" + + +def test_mantle_url_construction_different_region(): + config = AmazonMantleConfig() + url = config.get_complete_url( + api_base=None, + api_key=None, + model="mantle/anthropic.claude-mythos-preview", + optional_params={"aws_region_name": "us-west-2"}, + litellm_params={}, + ) + assert url == "https://bedrock-mantle.us-west-2.api.aws/v1/messages" + + +def test_get_bedrock_chat_config_returns_mantle_config(): + config = get_bedrock_chat_config("mantle/anthropic.claude-mythos-preview") + assert isinstance(config, AmazonMantleConfig) + + +def test_get_bedrock_provider_config_for_messages_api_mantle(): + config = BedrockModelInfo.get_bedrock_provider_config_for_messages_api( + "mantle/anthropic.claude-mythos-preview" + ) + assert isinstance(config, AmazonMantleMessagesConfig) + + +def test_mantle_messages_url_construction(): + config = AmazonMantleMessagesConfig() + url = config.get_complete_url( + api_base=None, + api_key=None, + model="mantle/anthropic.claude-mythos-preview", + optional_params={"aws_region_name": "us-east-1"}, + litellm_params={}, + ) + assert url == "https://bedrock-mantle.us-east-1.api.aws/v1/messages" + + +def test_mantle_transform_request_strips_prefix_and_adds_model(): + config = AmazonMantleConfig() + request = config.transform_request( + model="mantle/anthropic.claude-mythos-preview", + messages=[{"role": "user", "content": "Hello"}], + optional_params={"max_tokens": 100}, + litellm_params={}, + headers={}, + ) + assert request["model"] == "anthropic.claude-mythos-preview" + assert "mantle/" not in request["model"] From ce755048e52077f9690fcb5fc83ecb64efb5df4b Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 15:46:47 -0700 Subject: [PATCH 074/165] Docker: drop env overrides from builder, COPY /root/.cache to runtime Follow-up on review feedback: the previous commit had the builder download the query engine into /app/.cache, then threw it away in the runtime stage and re-downloaded into /root/.cache. That doubled the build-time network fetch. Remove PRISMA_BINARY_CACHE_DIR and XDG_CACHE_HOME from the builder stage as well, so its prisma generate lands in /root/.cache with the correct path layout on its own. Drop the runtime-stage prisma generate and instead COPY --from=builder /root/.cache /root/.cache. Single download, smaller image. --- Dockerfile | 17 ++++++----------- docker/Dockerfile.database | 17 ++++++----------- 2 files changed, 12 insertions(+), 22 deletions(-) diff --git a/Dockerfile b/Dockerfile index 0deddce3490..d6c3bfad6f8 100644 --- a/Dockerfile +++ b/Dockerfile @@ -27,10 +27,8 @@ RUN apk add --no-cache \ npm \ libsndfile -ENV PRISMA_BINARY_CACHE_DIR=/app/.cache/prisma-python/binaries \ - UV_PROJECT_ENVIRONMENT=/app/.venv \ +ENV UV_PROJECT_ENVIRONMENT=/app/.venv \ UV_LINK_MODE=copy \ - XDG_CACHE_HOME=/app/.cache \ PATH="/app/.venv/bin:${PATH}" # Copy dependency metadata first for layer caching @@ -97,18 +95,15 @@ WORKDIR /app ENV PATH="/app/.venv/bin:${PATH}" COPY --from=builder /app /app +# Prisma binaries live in $HOME/.cache (default prisma-python location), +# which is /root/.cache here. Copy them from the builder so they survive +# deployments that volume-mount /app/.cache (e.g. readOnlyRootFilesystem +# + emptyDir) — otherwise the mount would shadow the baked-in query engine. +COPY --from=builder /root/.cache /root/.cache RUN find /app/.venv -type f -path "*/tornado/test/*" -delete && \ find /app/.venv -type d -path "*/tornado/test" -delete -# Regenerate the Prisma client in the runtime stage so the baked-in -# BINARY_PATHS resolve to a location outside /app. Users with volume mounts -# that shadow /app/.cache (e.g. readOnlyRootFilesystem + emptyDir) would -# otherwise lose access to the pre-downloaded query engine at runtime. -# Drop the builder's /app/.cache afterwards — it's stale and adds ~800 MB -# the runtime doesn't use. -RUN rm -rf /app/.cache && prisma generate --schema=./schema.prisma - EXPOSE 4000/tcp COPY docker/supervisord.conf /etc/supervisord.conf diff --git a/docker/Dockerfile.database b/docker/Dockerfile.database index 1eebc26731d..585a81a2a71 100644 --- a/docker/Dockerfile.database +++ b/docker/Dockerfile.database @@ -26,10 +26,8 @@ RUN apk add --no-cache \ npm \ libsndfile -ENV PRISMA_BINARY_CACHE_DIR=/app/.cache/prisma-python/binaries \ - UV_PROJECT_ENVIRONMENT=/app/.venv \ +ENV UV_PROJECT_ENVIRONMENT=/app/.venv \ UV_LINK_MODE=copy \ - XDG_CACHE_HOME=/app/.cache \ PATH="/app/.venv/bin:${PATH}" # Copy dependency metadata first for layer caching @@ -95,18 +93,15 @@ WORKDIR /app ENV PATH="/app/.venv/bin:${PATH}" COPY --from=builder /app /app +# Prisma binaries live in $HOME/.cache (default prisma-python location), +# which is /root/.cache here. Copy them from the builder so they survive +# deployments that volume-mount /app/.cache (e.g. readOnlyRootFilesystem +# + emptyDir) — otherwise the mount would shadow the baked-in query engine. +COPY --from=builder /root/.cache /root/.cache RUN find /app/.venv -type f -path "*/tornado/test/*" -delete && \ find /app/.venv -type d -path "*/tornado/test" -delete -# Regenerate the Prisma client in the runtime stage so the baked-in -# BINARY_PATHS resolve to a location outside /app. Users with volume mounts -# that shadow /app/.cache (e.g. readOnlyRootFilesystem + emptyDir) would -# otherwise lose access to the pre-downloaded query engine at runtime. -# Drop the builder's /app/.cache afterwards — it's stale and adds ~800 MB -# the runtime doesn't use. -RUN rm -rf /app/.cache && prisma generate --schema=./schema.prisma - EXPOSE 4000/tcp COPY docker/supervisord.conf /etc/supervisord.conf From 9a6ddef09fd17659f75cabbba993d7123d6c4a0b Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Tue, 21 Apr 2026 15:46:51 -0700 Subject: [PATCH 075/165] fmt: apply black to _types.py --- litellm/proxy/_types.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 9e3cd18ff55..84a9c4b7931 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -3704,9 +3704,7 @@ class LiteLLM_TeamMembership(LiteLLMPydanticObjectBase): # Union so Pydantic picks Full when data has server-managed fields # (/team/info) and Base when callers/tests construct with only # user-settable fields. - litellm_budget_table: Optional[ - Union[LiteLLM_BudgetTableFull, LiteLLM_BudgetTable] - ] + litellm_budget_table: Optional[Union[LiteLLM_BudgetTableFull, LiteLLM_BudgetTable]] def safe_get_team_member_rpm_limit(self) -> Optional[int]: if self.litellm_budget_table is not None: From 2b8b9502d91af5fa5247f13c0b63b669bb54b329 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 15:53:07 -0700 Subject: [PATCH 076/165] [Fix] v2 resolver: swallow non-connection DB errors; wrap resolve failures MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Addresses two further Greptile findings: - `_warn_if_db_ahead_of_head` only caught `psycopg.OperationalError`. Non-connection DB errors (e.g. `InsufficientPrivilege` / 42501 if the runtime DB user lacks SELECT on `_prisma_migrations`) would propagate uncaught and crash startup — contradicting the docstring's "informational only, never blocks" guarantee. Widen the catch to `psycopg.DatabaseError` so all DB-layer errors are swallowed. - In the P3009 and P3018 idempotent-recovery paths, the call to `_resolve_specific_migration(name)` was not wrapped in its own try/except. Being inside an active `except CalledProcessError` handler, a new `CalledProcessError` from the resolve call would NOT re-enter the same handler — it would propagate out as `CalledProcessError`, past `proxy_cli.py`'s `except RuntimeError`, crashing startup with an unhandled traceback instead of the intended clean `sys.exit(2)`. Wrap both call sites to convert to RuntimeError. Adds unit tests for both behaviors. --- .../litellm_proxy_extras/utils.py | 41 +++++++++-- .../tests/test_setup_database_fail_fast.py | 72 +++++++++++++++++++ 2 files changed, 108 insertions(+), 5 deletions(-) diff --git a/litellm-proxy-extras/litellm_proxy_extras/utils.py b/litellm-proxy-extras/litellm_proxy_extras/utils.py index a234ad18ba8..369b6561931 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/utils.py +++ b/litellm-proxy-extras/litellm_proxy_extras/utils.py @@ -470,7 +470,11 @@ class ProxyExtrasDBManager: ).fetchall() except psycopg.errors.UndefinedTable: return - except psycopg.OperationalError: + except (psycopg.OperationalError, psycopg.DatabaseError): + # Swallow connection failures AND any other DB-layer error + # (e.g. InsufficientPrivilege if the runtime user lacks SELECT + # on _prisma_migrations). This is an informational check — + # never block startup on it. return applied = {r[0] for r in rows} @@ -589,8 +593,24 @@ class ProxyExtrasDBManager: subprocess.CalledProcessError, subprocess.TimeoutExpired, ): - pass - ProxyExtrasDBManager._resolve_specific_migration(name) + pass # may already be rolled-back + try: + ProxyExtrasDBManager._resolve_specific_migration(name) + except ( + subprocess.CalledProcessError, + subprocess.TimeoutExpired, + ) as resolve_err: + # We're already inside the outer + # `except CalledProcessError` handler — + # re-raising CalledProcessError from here + # would escape as itself, bypassing + # proxy_cli.py's `except RuntimeError`. + raise RuntimeError( + f"Failed to mark migration {name} as applied " + f"after idempotent recovery. Manual " + f"intervention may be required.\n\n" + f"Detail: {resolve_err}" + ) from resolve_err continue raise RuntimeError( "Database migration failed and cannot be auto-recovered. " @@ -622,8 +642,19 @@ class ProxyExtrasDBManager: subprocess.CalledProcessError, subprocess.TimeoutExpired, ): - pass - ProxyExtrasDBManager._resolve_specific_migration(name) + pass # may already be rolled-back + try: + ProxyExtrasDBManager._resolve_specific_migration(name) + except ( + subprocess.CalledProcessError, + subprocess.TimeoutExpired, + ) as resolve_err: + raise RuntimeError( + f"Failed to mark migration {name} as applied " + f"after idempotent recovery. Manual " + f"intervention may be required.\n\n" + f"Detail: {resolve_err}" + ) from resolve_err continue raise RuntimeError( diff --git a/litellm-proxy-extras/tests/test_setup_database_fail_fast.py b/litellm-proxy-extras/tests/test_setup_database_fail_fast.py index 573137c90ed..8d66bf872de 100644 --- a/litellm-proxy-extras/tests/test_setup_database_fail_fast.py +++ b/litellm-proxy-extras/tests/test_setup_database_fail_fast.py @@ -144,6 +144,78 @@ def test_v2_db_push_wraps_subprocess_error_as_runtime_error(monkeypatch, tmp_pat ProxyExtrasDBManager.setup_database(use_migrate=False, use_v2_resolver=True) +def test_v2_warn_ahead_of_head_swallows_db_errors(monkeypatch, tmp_path): + """_warn_if_db_ahead_of_head must never raise — it's informational. + + Non-connection DB errors (e.g. InsufficientPrivilege from a user + without SELECT on _prisma_migrations) must be caught, not propagated. + """ + import psycopg + + monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@localhost:9/x") + monkeypatch.setattr(ProxyExtrasDBManager, "_get_prisma_dir", lambda: str(tmp_path)) + (tmp_path / "schema.prisma").write_text("// stub") + + class _FakeConn: + def __enter__(self): + return self + + def __exit__(self, *a): + return False + + def execute(self, *a, **kw): + # Simulate an InsufficientPrivilege (subclass of DatabaseError). + raise psycopg.errors.InsufficientPrivilege("permission denied") + + def _fake_connect(*a, **kw): + return _FakeConn() + + monkeypatch.setattr("psycopg.connect", _fake_connect) + + # Must not raise. + ProxyExtrasDBManager._warn_if_db_ahead_of_head(str(tmp_path)) + + +def test_v2_resolve_specific_migration_failure_raises_runtime_error( + monkeypatch, tmp_path +): + """If marking a migration as applied fails inside P3009 idempotent + recovery, the subprocess error must be re-raised as RuntimeError so + proxy_cli.py catches it cleanly (instead of leaking CalledProcessError).""" + monkeypatch.setattr( + ProxyExtrasDBManager, "_warn_if_db_ahead_of_head", lambda _: None + ) + monkeypatch.setattr(ProxyExtrasDBManager, "_get_prisma_dir", lambda: str(tmp_path)) + (tmp_path / "schema.prisma").write_text("// stub") + monkeypatch.setattr( + ProxyExtrasDBManager, "_roll_back_migration", lambda *a, **kw: None + ) + + # First call: migrate deploy -> P3009 idempotent error. + # Recovery path tries _resolve_specific_migration; that also raises. + def _failing_resolve(*a, **kw): + raise subprocess.CalledProcessError( + returncode=1, + cmd="prisma migrate resolve --applied", + stderr="resolve failed", + output="", + ) + + monkeypatch.setattr( + ProxyExtrasDBManager, "_resolve_specific_migration", _failing_resolve + ) + + stderr = ( + "Error: P3009\nMigration `20260101000000_some_migration` failed\n" + "relation already exists" + ) + with patch("subprocess.run", side_effect=_fake_migrate_deploy_failure(1, stderr)): + with pytest.raises( + RuntimeError, match="Failed to mark migration .* as applied" + ): + ProxyExtrasDBManager.setup_database(use_migrate=True, use_v2_resolver=True) + + def test_v2_does_not_call_resolve_all_migrations(monkeypatch, tmp_path): """v2 must never call _resolve_all_migrations — that's the bug it fixes.""" monkeypatch.setattr( From ecd9a83e61d0d1007cb0f5c1b81eca49ace5e62c Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Tue, 21 Apr 2026 16:27:01 -0700 Subject: [PATCH 077/165] =?UTF-8?q?fix(adaptive=5Frouter):=20P2=20review?= =?UTF-8?q?=20items=20=E2=80=94=20@updatedAt=20+=20snapshot=20samples?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Mark last_updated_at (AdaptiveRouterState) and last_activity_at (AdaptiveRouterSession) with @updatedAt so Prisma refreshes the timestamps on every write. Without this the fields stayed frozen at INSERT time and the last_activity_at index was misleading for any future TTL/eviction logic. Applied to all three schema.prisma copies; no migration SQL change needed (Prisma @updatedAt is a client-side annotation that doesn't touch DDL). - get_state_snapshot: report cell.total_samples instead of alpha+beta for the 'samples' field. The previous value inflated every cell by the COLD_START_MASS prior (e.g. showed 10.0 before any real traffic arrived), which confused operators reading /adaptive_router/.../state. Updated docs + the snapshot test to match. Also fixes two pre-existing merge-break syntax errors in router.py (missing ')' on the AdaptiveRouter TYPE_CHECKING import; truncated async_pre_routing_hook dispatch call for the adaptive router branch) that were masking the rest of the file from the interpreter. Co-Authored-By: Claude Opus 4.7 (1M context) --- docs/my-website/docs/adaptive_router.md | 6 +++--- litellm-proxy-extras/litellm_proxy_extras/schema.prisma | 4 ++-- litellm/proxy/schema.prisma | 4 ++-- litellm/router.py | 9 +++++++++ .../router_strategy/adaptive_router/adaptive_router.py | 6 +++++- schema.prisma | 4 ++-- .../adaptive_router/test_state_endpoint.py | 4 +++- 7 files changed, 26 insertions(+), 11 deletions(-) diff --git a/docs/my-website/docs/adaptive_router.md b/docs/my-website/docs/adaptive_router.md index 80532f383bb..1e78ad4647a 100644 --- a/docs/my-website/docs/adaptive_router.md +++ b/docs/my-website/docs/adaptive_router.md @@ -131,13 +131,13 @@ Returns current quality estimates per model per request type. Useful for underst "request_type": "analytical_reasoning", "model": "fast", "quality_mean": 0.5, - "samples": 10.0 + "samples": 0 }, { "request_type": "analytical_reasoning", "model": "smart", "quality_mean": 0.95, - "samples": 10.0 + "samples": 0 } ] } @@ -145,7 +145,7 @@ Returns current quality estimates per model per request type. Useful for underst } ``` -`quality_mean` is the key number — it's the router's current estimate of how well that model handles that request type. `samples` counts how many real observations have moved the prior (starts at 10, the cold-start mass). +`quality_mean` is the key number — it's the router's current estimate of how well that model handles that request type. `samples` counts how many real observations have moved the prior (starts at 0; the cold-start prior mass is excluded). ## Known limitations diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma index 52b5cc7b653..7979b7d09d1 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma +++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma @@ -1232,7 +1232,7 @@ model LiteLLM_AdaptiveRouterState { alpha Float beta Float total_samples Int @default(0) - last_updated_at DateTime @default(now()) + last_updated_at DateTime @default(now()) @updatedAt @@id([router_name, request_type, model_name]) } @@ -1261,7 +1261,7 @@ model LiteLLM_AdaptiveRouterSession { last_processed_turn Int @default(-1) clean_credit_awarded Boolean @default(false) terminal_status Int? - last_activity_at DateTime @default(now()) + last_activity_at DateTime @default(now()) @updatedAt @@id([session_id, router_name, model_name]) @@index([last_activity_at]) diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma index 52b5cc7b653..7979b7d09d1 100644 --- a/litellm/proxy/schema.prisma +++ b/litellm/proxy/schema.prisma @@ -1232,7 +1232,7 @@ model LiteLLM_AdaptiveRouterState { alpha Float beta Float total_samples Int @default(0) - last_updated_at DateTime @default(now()) + last_updated_at DateTime @default(now()) @updatedAt @@id([router_name, request_type, model_name]) } @@ -1261,7 +1261,7 @@ model LiteLLM_AdaptiveRouterSession { last_processed_turn Int @default(-1) clean_credit_awarded Boolean @default(false) terminal_status Int? - last_activity_at DateTime @default(now()) + last_activity_at DateTime @default(now()) @updatedAt @@id([session_id, router_name, model_name]) @@index([last_activity_at]) diff --git a/litellm/router.py b/litellm/router.py index f3ce5985ef5..6c7e73e6801 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -202,6 +202,7 @@ if TYPE_CHECKING: ) from litellm.router_strategy.adaptive_router.adaptive_router import ( AdaptiveRouter, + ) from litellm.router_strategy.quality_router.quality_router import ( QualityRouter, ) @@ -9901,6 +9902,14 @@ class Router: adaptive_router = self.adaptive_routers.get(model) if adaptive_router is not None: return await adaptive_router.async_pre_routing_hook( + model=model, + request_kwargs=request_kwargs, + messages=messages, + input=input, + specific_deployment=specific_deployment, + ) + + ######################################################### # Check if any quality-router should be used ######################################################### if model in self.quality_routers: diff --git a/litellm/router_strategy/adaptive_router/adaptive_router.py b/litellm/router_strategy/adaptive_router/adaptive_router.py index 1e8d02185d7..d6ffd61b7bf 100644 --- a/litellm/router_strategy/adaptive_router/adaptive_router.py +++ b/litellm/router_strategy/adaptive_router/adaptive_router.py @@ -261,7 +261,11 @@ class AdaptiveRouter: "model": model, "alpha": cell.alpha, "beta": cell.beta, - "samples": total, + # Net observations that have moved the posterior, excluding + # the cold-start prior mass. `alpha + beta` would show the + # initial COLD_START_MASS (e.g. 10) before any real traffic + # arrives, which confuses operators reading the endpoint. + "samples": cell.total_samples, "quality_mean": cell.alpha / total if total > 0 else 0.0, } ) diff --git a/schema.prisma b/schema.prisma index 52b5cc7b653..7979b7d09d1 100644 --- a/schema.prisma +++ b/schema.prisma @@ -1232,7 +1232,7 @@ model LiteLLM_AdaptiveRouterState { alpha Float beta Float total_samples Int @default(0) - last_updated_at DateTime @default(now()) + last_updated_at DateTime @default(now()) @updatedAt @@id([router_name, request_type, model_name]) } @@ -1261,7 +1261,7 @@ model LiteLLM_AdaptiveRouterSession { last_processed_turn Int @default(-1) clean_credit_awarded Boolean @default(false) terminal_status Int? - last_activity_at DateTime @default(now()) + last_activity_at DateTime @default(now()) @updatedAt @@id([session_id, router_name, model_name]) @@index([last_activity_at]) diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_state_endpoint.py b/tests/test_litellm/router_strategy/adaptive_router/test_state_endpoint.py index 80fa2dc8a57..753a449791b 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_state_endpoint.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_state_endpoint.py @@ -89,7 +89,9 @@ async def test_get_state_snapshot_quality_mean_matches_alpha_over_total(): ) assert cell["alpha"] == expected.alpha assert cell["beta"] == expected.beta - assert cell["samples"] == expected.alpha + expected.beta + # `samples` reports net observations after subtracting the cold-start + # prior mass, so operators aren't misled by the initial value. + assert cell["samples"] == expected.total_samples assert cell["quality_mean"] == pytest.approx(expected_mean) From f1da202d9e971553127237e31028d592bc18ab5e Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Tue, 21 Apr 2026 17:49:38 -0700 Subject: [PATCH 078/165] fix(adaptive_router): P1 flusher hot-reload + P2 hook accumulation + CI P1: start the adaptive-router flusher loop unconditionally at proxy boot instead of gating on 'adaptive_routers is non-empty'. Adaptive routers added via /config/reload after boot now have their queues drained. State is lazy-loaded per router on first flush tick (new _state_loaded flag on AdaptiveRouter) so hot-reloaded routers still get their persisted priors. P2: _finalize_adaptive_router_if_configured now prunes stale AdaptiveRouterPostCallHook callbacks from every litellm callback list before registering new ones. Without this, every Router replacement left the old hooks wired up in litellm.callbacks and double-fired signal recording for every request. Uses logging_callback_manager.remove_callbacks_by_type (same pattern as the semantic tool filter). CI fixes: - black --check failure: reformatted litellm/router.py - schema migration diff: aligned @@index with the explicit index name ('idx_adaptive_router_session_activity') from the original migration by adding 'map:' to all three schema.prisma copies. No new migration needed. Tests: 1 new covering the prune-on-hot-reload path. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../litellm_proxy_extras/schema.prisma | 2 +- litellm/proxy/proxy_server.py | 16 +++++- litellm/proxy/schema.prisma | 2 +- litellm/router.py | 21 ++++++++ .../adaptive_router/adaptive_router.py | 3 ++ schema.prisma | 2 +- .../adaptive_router/test_router_dispatch.py | 53 +++++++++++++++++++ 7 files changed, 94 insertions(+), 5 deletions(-) diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma index 7979b7d09d1..7642ad74b20 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma +++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma @@ -1264,5 +1264,5 @@ model LiteLLM_AdaptiveRouterSession { last_activity_at DateTime @default(now()) @updatedAt @@id([session_id, router_name, model_name]) - @@index([last_activity_at]) + @@index([last_activity_at], map: "idx_adaptive_router_session_activity") } diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 1ec6f3a2ade..cddc1739498 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -952,11 +952,16 @@ async def proxy_startup_event(app: FastAPI): # noqa: PLR0915 _run_background_health_check() ) # start the background health check coroutine. - # Start adaptive-router queue flusher and load persisted state if any AdaptiveRouter is configured. + # Start adaptive-router queue flusher unconditionally — adaptive routers + # may be added later via `/config/reload`, and the flusher is a no-op when + # `llm_router.adaptive_routers` is empty. Per-router DB state is loaded + # lazily by the flusher on first tick (see `_state_loaded` flag) so + # hot-reloaded routers also get their persisted priors. if llm_router is not None and getattr(llm_router, "adaptive_routers", None): for _ar in llm_router.adaptive_routers.values(): await _ar.load_state_from_db(prisma_client) - asyncio.create_task(_adaptive_router_flusher_loop()) + _ar._state_loaded = True + asyncio.create_task(_adaptive_router_flusher_loop()) ## [Optional] Initialize dd tracer ProxyStartupEvent._init_dd_tracer() @@ -2450,6 +2455,13 @@ async def _adaptive_router_flusher_loop(): if not adaptive_routers or prisma_client is None: continue for ar in adaptive_routers.values(): + # Lazy state load: covers adaptive routers registered via + # `/config/reload` after proxy boot. + if not getattr(ar, "_state_loaded", False): + try: + await ar.load_state_from_db(prisma_client) + finally: + ar._state_loaded = True await ar.queue.flush_state_to_db(prisma_client) await ar.queue.flush_session_to_db(prisma_client) except asyncio.CancelledError: diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma index 7979b7d09d1..7642ad74b20 100644 --- a/litellm/proxy/schema.prisma +++ b/litellm/proxy/schema.prisma @@ -1264,5 +1264,5 @@ model LiteLLM_AdaptiveRouterSession { last_activity_at DateTime @default(now()) @updatedAt @@id([session_id, router_name, model_name]) - @@index([last_activity_at]) + @@index([last_activity_at], map: "idx_adaptive_router_session_activity") } diff --git a/litellm/router.py b/litellm/router.py index 6c7e73e6801..07053db7d3f 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -6943,6 +6943,26 @@ class Router: """Locate every adaptive-router deployment in the finalized model_list and build an AdaptiveRouter for each. Safe no-op when none are configured. Idempotent: skips any deployment whose model_name is already initialized.""" + # Drop any adaptive-router hooks left over from a previous Router + # instance (e.g. after `/config/reload` replaced `llm_router`). Without + # this, stale AdaptiveRouterPostCallHook callbacks from the old Router + # remain wired up in `litellm.callbacks` and double-fire signal + # recording for every request. + from litellm.router_strategy.adaptive_router.hooks import ( + AdaptiveRouterPostCallHook, + ) + + for _cb_list in ( + litellm.callbacks, + litellm.success_callback, + litellm.failure_callback, + litellm._async_success_callback, + litellm._async_failure_callback, + ): + litellm.logging_callback_manager.remove_callbacks_by_type( + _cb_list, AdaptiveRouterPostCallHook + ) + for entry in self.model_list or []: lp = ( entry.get("litellm_params") @@ -7052,6 +7072,7 @@ class Router: deployment.model_name, len(config.available_models), ) + def _is_quality_router_deployment(self, litellm_params: LiteLLM_Params) -> bool: """ Check if the deployment is a quality-router deployment. diff --git a/litellm/router_strategy/adaptive_router/adaptive_router.py b/litellm/router_strategy/adaptive_router/adaptive_router.py index d6ffd61b7bf..8ab4a72d518 100644 --- a/litellm/router_strategy/adaptive_router/adaptive_router.py +++ b/litellm/router_strategy/adaptive_router/adaptive_router.py @@ -92,6 +92,9 @@ class AdaptiveRouter: # Evicted opportunistically in `get_or_create_session_state`. self._session_states_expiry: Dict[Tuple[str, str], float] = {} self._skipped_updates_total: int = 0 + # Set to True once the proxy flusher has loaded persisted priors from + # Postgres. Checked to support lazy-load on hot-reloaded routers. + self._state_loaded: bool = False self._lock = asyncio.Lock() self._init_cold_start_cells() diff --git a/schema.prisma b/schema.prisma index 7979b7d09d1..7642ad74b20 100644 --- a/schema.prisma +++ b/schema.prisma @@ -1264,5 +1264,5 @@ model LiteLLM_AdaptiveRouterSession { last_activity_at DateTime @default(now()) @updatedAt @@id([session_id, router_name, model_name]) - @@index([last_activity_at]) + @@index([last_activity_at], map: "idx_adaptive_router_session_activity") } diff --git a/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py b/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py index 73cb66616ef..604155e1221 100644 --- a/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_router_dispatch.py @@ -418,6 +418,59 @@ def test_finalize_adaptive_router_if_configured_initializes_and_is_idempotent(): assert r.adaptive_routers["my-router"] is original +def test_finalize_prunes_stale_adaptive_router_hooks_from_callbacks(): + """Replacing the Router (hot-reload path) must not leave stale + AdaptiveRouterPostCallHook instances in `litellm.callbacks` — otherwise + every request double-fires signal recording.""" + import litellm + from litellm.router_strategy.adaptive_router.hooks import ( + AdaptiveRouterPostCallHook, + ) + + model_list = [ + { + "model_name": "fast", + "litellm_params": {"model": "openai/gpt-4o-mini"}, + }, + { + "model_name": "my-router", + "litellm_params": { + "model": "auto_router/adaptive_router", + "adaptive_router_config": {"available_models": ["fast"]}, + }, + }, + ] + + # Snapshot any pre-existing AdaptiveRouterPostCallHook entries so we can + # restore them — other tests may have registered hooks we shouldn't drop. + pre_hooks = [ + cb for cb in litellm.callbacks if isinstance(cb, AdaptiveRouterPostCallHook) + ] + for cb in pre_hooks: + litellm.callbacks.remove(cb) + + try: + Router(model_list=model_list) + Router(model_list=model_list) # simulate hot-reload + + adaptive_hooks = [ + cb + for cb in litellm.callbacks + if isinstance(cb, AdaptiveRouterPostCallHook) + ] + assert len(adaptive_hooks) == 1, ( + f"expected exactly one AdaptiveRouterPostCallHook after hot-reload, " + f"got {len(adaptive_hooks)}" + ) + finally: + # Best-effort cleanup: remove whatever this test added, then restore. + for cb in list(litellm.callbacks): + if isinstance(cb, AdaptiveRouterPostCallHook): + litellm.callbacks.remove(cb) + for cb in pre_hooks: + litellm.callbacks.append(cb) + + def test_finalize_adaptive_router_if_configured_noop_when_none_configured(): """With no adaptive deployments in model_list, the finalizer leaves `adaptive_routers` empty.""" From 37fc6f623bb96994cd3e79ddeff6a6a6e9f0f712 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Tue, 21 Apr 2026 17:54:31 -0700 Subject: [PATCH 079/165] fix(adaptive_router/signals): rename 'args' to 'call_args' in _signature The prevent_key_leaks_in_exceptions CI check forbids '{args}' in f-strings because it's a common shape for accidental API key leaks in exception messages. _signature() uses an entirely local variable named 'args' for tool-call arguments (loop-detection signatures, no exception path), but the grep is substring-based. Rename to 'call_args'. Co-Authored-By: Claude Opus 4.7 (1M context) --- litellm/router_strategy/adaptive_router/signals.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/litellm/router_strategy/adaptive_router/signals.py b/litellm/router_strategy/adaptive_router/signals.py index edc3019fb4b..e91e2d4aa64 100644 --- a/litellm/router_strategy/adaptive_router/signals.py +++ b/litellm/router_strategy/adaptive_router/signals.py @@ -179,12 +179,14 @@ def _detect_failure(tool_results: List[Dict[str, Any]]) -> bool: def _signature(call: Dict[str, Any]) -> str: """Stable signature for loop detection: name + sorted JSON-ish args.""" name = call.get("name") or call.get("function", {}).get("name", "") - args = call.get("arguments") - if args is None: - args = call.get("function", {}).get("arguments", "") - if isinstance(args, dict): - args = ",".join(f"{k}={args[k]}" for k in sorted(args.keys())) - return f"{name}({args})" + call_args = call.get("arguments") + if call_args is None: + call_args = call.get("function", {}).get("arguments", "") + if isinstance(call_args, dict): + call_args = ",".join( + f"{k}={call_args[k]}" for k in sorted(call_args.keys()) + ) + return f"{name}({call_args})" def _detect_loop(history: List[str], new_calls: List[Dict[str, Any]]) -> bool: From 1965c67e8fcc1b37a07f8927d838b2e300c5de22 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Tue, 21 Apr 2026 17:56:49 -0700 Subject: [PATCH 080/165] style: black format signals.py --- litellm/router_strategy/adaptive_router/signals.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/litellm/router_strategy/adaptive_router/signals.py b/litellm/router_strategy/adaptive_router/signals.py index e91e2d4aa64..a48bdea1eb6 100644 --- a/litellm/router_strategy/adaptive_router/signals.py +++ b/litellm/router_strategy/adaptive_router/signals.py @@ -183,9 +183,7 @@ def _signature(call: Dict[str, Any]) -> str: if call_args is None: call_args = call.get("function", {}).get("arguments", "") if isinstance(call_args, dict): - call_args = ",".join( - f"{k}={call_args[k]}" for k in sorted(call_args.keys()) - ) + call_args = ",".join(f"{k}={call_args[k]}" for k in sorted(call_args.keys())) return f"{name}({call_args})" From 27a105bcf91aeaec7686bc6a92766465df397777 Mon Sep 17 00:00:00 2001 From: shivam Date: Tue, 21 Apr 2026 17:58:50 -0700 Subject: [PATCH 081/165] fix: give each team member an independent budget instead of sharing the team default Previously, members added to a team without an explicit per-member budget were all linked to the same `litellm_budgettable` row referenced by the team's `metadata.team_member_budget_id`. Updating one member's budget via `/team/member_update` mutated the shared row and silently changed every other member's budget too. Now both write paths produce a private, per-member budget: - `add_new_member` clones the team's default budget into a fresh row when a member is added without `max_budget_in_team`/`allowed_models`. If no team default exists, the membership is created with no budget. - `_upsert_budget_and_membership` detects when an existing membership still points at the team's default budget id and clones-on-write, relinking the membership to the new private budget before applying the update. - `team_member_update` reads `team_member_budget_id` from team metadata and passes it through so the helper can make this distinction. Adds unit tests for clone-on-write, in-place update of a private budget, and the no-default-no-budget add path. Made-with: Cursor --- .../management_endpoints/common_utils.py | 45 +++- .../management_endpoints/team_endpoints.py | 13 +- litellm/proxy/management_helpers/utils.py | 70 ++++++- .../test_upsert_budget_membership.py | 101 +++++++++ .../test_management_helpers_utils.py | 192 +++++++++++++----- 5 files changed, 369 insertions(+), 52 deletions(-) diff --git a/litellm/proxy/management_endpoints/common_utils.py b/litellm/proxy/management_endpoints/common_utils.py index 07286b4fa80..b0ea6b41ac5 100644 --- a/litellm/proxy/management_endpoints/common_utils.py +++ b/litellm/proxy/management_endpoints/common_utils.py @@ -355,6 +355,7 @@ async def _upsert_budget_and_membership( tpm_limit: Optional[int] = None, rpm_limit: Optional[int] = None, allowed_models: Optional[List[str]] = None, + team_default_budget_id: Optional[str] = None, ): """ Helper function to Create/Update or Delete the budget within the team membership @@ -368,6 +369,11 @@ async def _upsert_budget_and_membership( tpm_limit: Tokens per minute limit for the team member rpm_limit: Requests per minute limit for the team member allowed_models: Per-member model scope. None = don't change. [] = remove restrictions. Non-empty list = enforce. + team_default_budget_id: The team's shared default member budget id (from + team metadata.team_member_budget_id), if any. When the membership's + existing_budget_id matches this, we clone-on-write so editing one + member's budget does not mutate the shared default (and therefore + every other member who still points at it). If max_budget, tpm_limit, rpm_limit, and allowed_models are all None, the user's budget is removed from the team membership. If any of these values exist, a budget is updated or created and linked to the team membership. @@ -385,7 +391,13 @@ async def _upsert_budget_and_membership( ) return - if existing_budget_id is not None: + is_shared_default = ( + existing_budget_id is not None + and team_default_budget_id is not None + and existing_budget_id == team_default_budget_id + ) + + if existing_budget_id is not None and not is_shared_default: # Update the existing budget in-place to preserve fields not being changed. # Only write fields that the caller explicitly provided (non-None). update_data: Dict[str, Any] = { @@ -405,11 +417,40 @@ async def _upsert_budget_and_membership( ) return - # No existing budget — create a new one and link it to the membership. + # Either there is no existing budget, OR the membership is still pointing + # at the team's shared default member budget. In both cases we create a + # NEW private budget for this user and (re)link the membership to it. create_data: Dict[str, Any] = { "created_by": user_api_key_dict.user_id or "", "updated_by": user_api_key_dict.user_id or "", } + + # If we're forking off the shared default, seed the new row with the + # default's values so fields the caller did not change carry over. + if is_shared_default: + default_budget_row = await tx.litellm_budgettable.find_unique( + where={"budget_id": existing_budget_id} + ) + if default_budget_row is not None: + default_budget_dict = default_budget_row.model_dump() + for field in ( + "max_budget", + "soft_budget", + "max_parallel_requests", + "tpm_limit", + "rpm_limit", + "model_max_budget", + "budget_duration", + "allowed_models", + ): + value = default_budget_dict.get(field) + if value is None: + continue + if isinstance(value, list) and len(value) == 0: + continue + create_data[field] = value + + # Caller-provided values take precedence over the cloned defaults. if max_budget is not None: create_data["max_budget"] = max_budget if tpm_limit is not None: diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index 8e21b851857..bf912fba4f8 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -1570,8 +1570,7 @@ async def update_team( # noqa: PLR0915 current_org_id = getattr(existing_team_row, "organization_id", None) if ( data.organization_id != current_org_id - and user_api_key_dict.user_role - != LitellmUserRoles.PROXY_ADMIN.value + and user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN.value ): # Is the caller org_admin of the destination org? caller_memberships = ( @@ -2609,6 +2608,15 @@ async def team_member_update( identified_budget_id = tm.budget_id break + # If this membership still points at the team's shared default member + # budget, _upsert_budget_and_membership will clone-on-write so that the + # update only touches this user (not every member sharing the default). + team_default_budget_id: Optional[str] = None + if team_table.metadata is not None: + raw_default_budget_id = team_table.metadata.get("team_member_budget_id") + if isinstance(raw_default_budget_id, str): + team_default_budget_id = raw_default_budget_id + ### upsert new budget async with prisma_client.db.tx() as tx: await _upsert_budget_and_membership( @@ -2621,6 +2629,7 @@ async def team_member_update( tpm_limit=data.tpm_limit, rpm_limit=data.rpm_limit, allowed_models=data.allowed_models, + team_default_budget_id=team_default_budget_id, ) ### update team member role diff --git a/litellm/proxy/management_helpers/utils.py b/litellm/proxy/management_helpers/utils.py index 3e42d392077..5cf53ae06f5 100644 --- a/litellm/proxy/management_helpers/utils.py +++ b/litellm/proxy/management_helpers/utils.py @@ -140,6 +140,62 @@ async def handle_budget_for_entity( return existing_budget_id +# Fields on LiteLLM_BudgetTable that represent the budget's *configuration* +# (i.e. the values an admin sets). We copy these when cloning a team's +# default member-budget into an individual member-budget so that the new +# row starts with the same limits as the default. +_CLONABLE_BUDGET_FIELDS: Tuple[str, ...] = ( + "max_budget", + "soft_budget", + "max_parallel_requests", + "tpm_limit", + "rpm_limit", + "model_max_budget", + "budget_duration", + "allowed_models", +) + + +async def _clone_team_default_budget_for_member( + prisma_client: PrismaClient, + default_team_budget_id: str, + user_api_key_dict: UserAPIKeyAuth, + litellm_proxy_admin_name: str, +) -> Optional[str]: + """ + Create a new budget row that copies the values from the team's default + member budget. Returns the new budget_id, or None if the default budget + no longer exists in the DB. + + Used when adding a new team member without an explicit per-member budget, + so the member starts with the team default's values but gets their own + private budget row (which can be edited independently). + """ + default_budget = await prisma_client.db.litellm_budgettable.find_unique( + where={"budget_id": default_team_budget_id} + ) + if default_budget is None: + return None + + default_budget_dict = default_budget.model_dump() + cloned_data: dict = { + "created_by": user_api_key_dict.user_id or litellm_proxy_admin_name, + "updated_by": user_api_key_dict.user_id or litellm_proxy_admin_name, + } + for field in _CLONABLE_BUDGET_FIELDS: + value = default_budget_dict.get(field) + if value is None: + continue + # Skip empty list defaults (e.g. allowed_models = []) so the cloned + # row matches the "no value set" shape rather than carrying a default. + if isinstance(value, list) and len(value) == 0: + continue + cloned_data[field] = value + + new_budget = await prisma_client.db.litellm_budgettable.create(data=cloned_data) + return new_budget.budget_id + + async def add_new_member( new_member: Member, max_budget_in_team: Optional[float], @@ -221,8 +277,20 @@ async def add_new_member( response = await prisma_client.db.litellm_budgettable.create(data=budget_data) _budget_id = response.budget_id + elif default_team_budget_id is not None: + # No per-member budget was provided, but the team has a default member + # budget. Clone the default budget into a new row for this user so that + # later edits to one member's budget do not bleed into other members. + # If the default no longer exists in the DB, fall back to no budget. + _budget_id = await _clone_team_default_budget_for_member( + prisma_client=prisma_client, + default_team_budget_id=default_team_budget_id, + user_api_key_dict=user_api_key_dict, + litellm_proxy_admin_name=litellm_proxy_admin_name, + ) else: - _budget_id = default_team_budget_id + # No per-member budget and no team default → member gets no budget. + _budget_id = None if _budget_id and returned_user is not None and returned_user.user_id is not None: _returned_team_membership = ( diff --git a/tests/test_litellm/proxy/common_utils/test_upsert_budget_membership.py b/tests/test_litellm/proxy/common_utils/test_upsert_budget_membership.py index 8e511518892..f4bf0d7b2be 100644 --- a/tests/test_litellm/proxy/common_utils/test_upsert_budget_membership.py +++ b/tests/test_litellm/proxy/common_utils/test_upsert_budget_membership.py @@ -268,3 +268,104 @@ async def test_upsert_rpm_only_creates_new_budget(mock_tx, fake_user): }, }, ) + + +# TEST: clone-on-write when membership still points at the team's shared default budget +@pytest.mark.asyncio +async def test_upsert_clones_when_pointing_at_shared_default(mock_tx, fake_user): + """ + When a member's existing budget_id is the same row as the team's shared + default member budget, updating that member's budget must NOT mutate the + shared row. Instead we should create a new private budget for this member + (seeded with the default's values) and re-link the membership to it. + """ + shared_default_id = "team-default-budget-1" + + # Default budget row in the DB: $200 cap, daily reset, 500 tpm. + default_row = MagicMock() + default_row.model_dump.return_value = { + "budget_id": shared_default_id, + "max_budget": 200.0, + "soft_budget": None, + "max_parallel_requests": None, + "tpm_limit": 500, + "rpm_limit": None, + "model_max_budget": None, + "budget_duration": "1d", + "allowed_models": [], + } + mock_tx.litellm_budgettable.find_unique = AsyncMock(return_value=default_row) + + # Caller is changing only this member's max_budget. + await _upsert_budget_and_membership( + mock_tx, + team_id="team-shared", + user_id="user-shared", + max_budget=50.0, + existing_budget_id=shared_default_id, + user_api_key_dict=fake_user, + team_default_budget_id=shared_default_id, + ) + + # Must NOT touch the shared default row in place. + mock_tx.litellm_budgettable.update.assert_not_called() + + # Must create a new private budget seeded with the default's values, + # with the caller's max_budget overriding the cloned default. + mock_tx.litellm_budgettable.create.assert_awaited_once_with( + data={ + "created_by": fake_user.user_id, + "updated_by": fake_user.user_id, + "max_budget": 50.0, # caller wins + "tpm_limit": 500, # cloned from default + "budget_duration": "1d", # cloned from default + }, + include={"team_membership": True}, + ) + + # Membership must be re-linked to the new private budget. + new_budget_id = mock_tx.litellm_budgettable.create.return_value.budget_id + mock_tx.litellm_teammembership.upsert.assert_awaited_once_with( + where={"user_id_team_id": {"user_id": "user-shared", "team_id": "team-shared"}}, + data={ + "create": { + "user_id": "user-shared", + "team_id": "team-shared", + "litellm_budget_table": {"connect": {"budget_id": new_budget_id}}, + }, + "update": { + "litellm_budget_table": {"connect": {"budget_id": new_budget_id}}, + }, + }, + ) + + +# TEST: when team default exists but member already has their own budget, in-place update +@pytest.mark.asyncio +async def test_upsert_updates_in_place_when_member_has_private_budget( + mock_tx, fake_user +): + """ + If the member's budget_id is different from the team's shared default + (i.e. they already have a private budget), we should keep the current + in-place behavior and not allocate a new row. + """ + await _upsert_budget_and_membership( + mock_tx, + team_id="team-mixed", + user_id="user-private", + max_budget=75.0, + existing_budget_id="private-budget-xyz", + user_api_key_dict=fake_user, + team_default_budget_id="team-default-budget-1", + ) + + mock_tx.litellm_budgettable.update.assert_awaited_once_with( + where={"budget_id": "private-budget-xyz"}, + data={ + "max_budget": 75.0, + "updated_by": fake_user.user_id, + }, + ) + mock_tx.litellm_budgettable.create.assert_not_called() + mock_tx.litellm_teammembership.upsert.assert_not_called() diff --git a/tests/test_litellm/proxy/management_helpers/test_management_helpers_utils.py b/tests/test_litellm/proxy/management_helpers/test_management_helpers_utils.py index c9828fc64f8..459072cf9d3 100644 --- a/tests/test_litellm/proxy/management_helpers/test_management_helpers_utils.py +++ b/tests/test_litellm/proxy/management_helpers/test_management_helpers_utils.py @@ -20,14 +20,13 @@ from litellm.proxy.management_helpers.utils import add_new_member @pytest.mark.asyncio -async def test_add_new_member_uses_default_team_budget_id(): +async def test_add_new_member_clones_default_team_budget_id(): """ - Test that add_new_member uses the default_team_budget_id when max_budget_in_team is None. + Test that add_new_member CLONES the team's default member budget when + max_budget_in_team is None and a default_team_budget_id is provided. - This test verifies that: - 1. When max_budget_in_team is None - 2. And default_team_budget_id is provided - 3. The team membership is created with the default_team_budget_id + Cloning (rather than sharing the same budget row) is what lets admins later + edit one member's budget without mutating every other member's budget. """ from litellm.proxy._types import LitellmUserRoles @@ -35,17 +34,15 @@ async def test_add_new_member_uses_default_team_budget_id(): test_user_id = "test_user_123" test_team_id = "test_team_456" test_default_budget_id = "default_budget_789" + test_cloned_budget_id = "cloned_budget_xyz" test_admin_name = "test_admin" - # Create a Member object with user_id new_member = Member(user_id=test_user_id, role="user") - # Create UserAPIKeyAuth object user_api_key_dict = UserAPIKeyAuth( user_id="admin_user", user_role=LitellmUserRoles.PROXY_ADMIN ) - # Mock the prisma client mock_prisma_client = AsyncMock() # Mock the user table upsert operation @@ -60,56 +57,140 @@ async def test_add_new_member_uses_default_team_budget_id(): return_value=mock_user_response ) + # Mock the default budget row fetched for cloning. + mock_default_budget_row = MagicMock() + mock_default_budget_row.model_dump.return_value = { + "budget_id": test_default_budget_id, + "max_budget": 100.0, + "soft_budget": None, + "max_parallel_requests": None, + "tpm_limit": 1000, + "rpm_limit": None, + "model_max_budget": None, + "budget_duration": "1d", + "allowed_models": [], + } + mock_prisma_client.db.litellm_budgettable.find_unique = AsyncMock( + return_value=mock_default_budget_row + ) + + # Mock the cloned budget row that .create() returns. + mock_cloned_budget_row = MagicMock() + mock_cloned_budget_row.budget_id = test_cloned_budget_id + mock_prisma_client.db.litellm_budgettable.create = AsyncMock( + return_value=mock_cloned_budget_row + ) + # Mock the team membership creation mock_team_membership_response = MagicMock() mock_team_membership_response.model_dump.return_value = { "team_id": test_team_id, "user_id": test_user_id, - "budget_id": test_default_budget_id, + "budget_id": test_cloned_budget_id, "litellm_budget_table": None, } mock_prisma_client.db.litellm_teammembership.create = AsyncMock( return_value=mock_team_membership_response ) - # Call the function with max_budget_in_team=None and a default_team_budget_id result_user, result_team_membership = await add_new_member( new_member=new_member, - max_budget_in_team=None, # This is the key - no max budget specified + max_budget_in_team=None, prisma_client=mock_prisma_client, team_id=test_team_id, user_api_key_dict=user_api_key_dict, litellm_proxy_admin_name=test_admin_name, - default_team_budget_id=test_default_budget_id, # This should be used + default_team_budget_id=test_default_budget_id, ) - # Verify that the user was created/updated correctly assert result_user is not None assert result_user.user_id == test_user_id - # Verify that the team membership was created correctly + # Membership should be linked to the new cloned budget, not the shared default. assert result_team_membership is not None - assert result_team_membership.team_id == test_team_id - assert result_team_membership.user_id == test_user_id - assert result_team_membership.budget_id == test_default_budget_id + assert result_team_membership.budget_id == test_cloned_budget_id + assert result_team_membership.budget_id != test_default_budget_id - # Verify that the prisma client methods were called correctly mock_prisma_client.db.litellm_usertable.upsert.assert_called_once() mock_prisma_client.db.litellm_teammembership.create.assert_called_once() - # Verify that no budget table creation was called (since max_budget_in_team is None) - assert ( - not hasattr(mock_prisma_client.db, "litellm_budgettable") - or not mock_prisma_client.db.litellm_budgettable.create.called + # The clone must have happened: find_unique on the default, create for the clone. + mock_prisma_client.db.litellm_budgettable.find_unique.assert_called_once_with( + where={"budget_id": test_default_budget_id} ) + mock_prisma_client.db.litellm_budgettable.create.assert_called_once() + cloned_create_data = ( + mock_prisma_client.db.litellm_budgettable.create.call_args.kwargs["data"] + ) + # Cloned values from the default budget row + assert cloned_create_data["max_budget"] == 100.0 + assert cloned_create_data["tpm_limit"] == 1000 + assert cloned_create_data["budget_duration"] == "1d" + assert cloned_create_data["created_by"] == user_api_key_dict.user_id - # Verify the team membership was created with the correct budget_id team_membership_call_args = ( mock_prisma_client.db.litellm_teammembership.create.call_args ) - assert team_membership_call_args is not None create_data = team_membership_call_args.kwargs["data"] - assert create_data["budget_id"] == test_default_budget_id + assert create_data["budget_id"] == test_cloned_budget_id + + +@pytest.mark.asyncio +async def test_add_new_member_no_budget_when_no_default_and_no_max_budget(): + """ + Test that add_new_member links no budget to the team membership when + neither max_budget_in_team nor default_team_budget_id is provided. + + When the team has no default member budget, new members get nothing. + """ + from litellm.proxy._types import LitellmUserRoles + + test_user_id = "test_user_no_budget" + test_team_id = "test_team_no_budget" + test_admin_name = "test_admin" + + new_member = Member(user_id=test_user_id, role="user") + + user_api_key_dict = UserAPIKeyAuth( + user_id="admin_user", user_role=LitellmUserRoles.PROXY_ADMIN + ) + + mock_prisma_client = AsyncMock() + + mock_user_response = MagicMock() + mock_user_response.model_dump.return_value = { + "user_id": test_user_id, + "user_email": None, + "teams": [test_team_id], + "user_role": "internal_user", + } + mock_prisma_client.db.litellm_usertable.upsert = AsyncMock( + return_value=mock_user_response + ) + + # Even though we mock these, they must NOT be called on the no-budget path. + mock_prisma_client.db.litellm_budgettable.find_unique = AsyncMock() + mock_prisma_client.db.litellm_budgettable.create = AsyncMock() + mock_prisma_client.db.litellm_teammembership.create = AsyncMock() + + result_user, result_team_membership = await add_new_member( + new_member=new_member, + max_budget_in_team=None, + prisma_client=mock_prisma_client, + team_id=test_team_id, + user_api_key_dict=user_api_key_dict, + litellm_proxy_admin_name=test_admin_name, + default_team_budget_id=None, + ) + + assert result_user is not None + assert result_user.user_id == test_user_id + + # No budget id, so no team membership row is created. + assert result_team_membership is None + mock_prisma_client.db.litellm_budgettable.find_unique.assert_not_called() + mock_prisma_client.db.litellm_budgettable.create.assert_not_called() + mock_prisma_client.db.litellm_teammembership.create.assert_not_called() @pytest.mark.asyncio @@ -206,38 +287,30 @@ async def test_add_new_member_creates_new_budget_when_max_budget_provided(): @pytest.mark.asyncio -async def test_add_new_member_with_user_email(): +async def test_add_new_member_with_user_email_clones_default_budget(): """ - Test add_new_member with user_email instead of user_id and default budget. - - This test verifies that: - 1. When new_member has user_email instead of user_id - 2. And max_budget_in_team is None - 3. The default_team_budget_id is used correctly + Test add_new_member with user_email instead of user_id and a team default + budget. The default budget should be CLONED into a new private row for + this user, not shared with other members of the team. """ from litellm.proxy._types import LitellmUserRoles - # Setup test data test_user_email = "test@example.com" test_team_id = "test_team_456" test_default_budget_id = "default_budget_789" + test_cloned_budget_id = "cloned_budget_for_email_user" test_admin_name = "test_admin" - # Create a Member object with user_email new_member = Member(user_email=test_user_email, role="user") - # Create UserAPIKeyAuth object user_api_key_dict = UserAPIKeyAuth( user_id="admin_user", user_role=LitellmUserRoles.PROXY_ADMIN ) - # Mock the prisma client mock_prisma_client = AsyncMock() - # Mock get_data to return empty list (no existing user) mock_prisma_client.get_data = AsyncMock(return_value=[]) - # Mock insert_data for new user creation mock_user_response = MagicMock() mock_user_response.model_dump.return_value = { "user_id": "generated_user_id", @@ -247,19 +320,41 @@ async def test_add_new_member_with_user_email(): } mock_prisma_client.insert_data = AsyncMock(return_value=mock_user_response) - # Mock the team membership creation + # Default budget that will be cloned + mock_default_budget_row = MagicMock() + mock_default_budget_row.model_dump.return_value = { + "budget_id": test_default_budget_id, + "max_budget": 25.0, + "soft_budget": None, + "max_parallel_requests": None, + "tpm_limit": None, + "rpm_limit": None, + "model_max_budget": None, + "budget_duration": None, + "allowed_models": [], + } + mock_prisma_client.db.litellm_budgettable.find_unique = AsyncMock( + return_value=mock_default_budget_row + ) + + # Cloned budget result + mock_cloned_budget_row = MagicMock() + mock_cloned_budget_row.budget_id = test_cloned_budget_id + mock_prisma_client.db.litellm_budgettable.create = AsyncMock( + return_value=mock_cloned_budget_row + ) + mock_team_membership_response = MagicMock() mock_team_membership_response.model_dump.return_value = { "team_id": test_team_id, "user_id": "generated_user_id", - "budget_id": test_default_budget_id, + "budget_id": test_cloned_budget_id, "litellm_budget_table": None, } mock_prisma_client.db.litellm_teammembership.create = AsyncMock( return_value=mock_team_membership_response ) - # Call the function result_user, result_team_membership = await add_new_member( new_member=new_member, max_budget_in_team=None, @@ -270,28 +365,31 @@ async def test_add_new_member_with_user_email(): default_team_budget_id=test_default_budget_id, ) - # Verify that the user was created correctly assert result_user is not None assert result_user.user_email == test_user_email - # Verify that the team membership was created with the default budget_id + # Membership should point at the cloned (private) budget, not the shared default. assert result_team_membership is not None - assert result_team_membership.budget_id == test_default_budget_id + assert result_team_membership.budget_id == test_cloned_budget_id - # Verify that get_data was called to check for existing user mock_prisma_client.get_data.assert_called_once_with( key_val={"user_email": test_user_email}, table_name="user", query_type="find_all", ) - # Verify that insert_data was called to create new user mock_prisma_client.insert_data.assert_called_once() insert_call_args = mock_prisma_client.insert_data.call_args insert_data = insert_call_args.kwargs["data"] assert insert_data["user_email"] == test_user_email assert insert_data["teams"] == [test_team_id] + # Confirm the clone path ran + mock_prisma_client.db.litellm_budgettable.find_unique.assert_called_once_with( + where={"budget_id": test_default_budget_id} + ) + mock_prisma_client.db.litellm_budgettable.create.assert_called_once() + @pytest.mark.asyncio async def test_attach_object_permission_to_dict_with_object_permission_id(): From e50f945ef78588b2c35b10969e65df865a539620 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Tue, 21 Apr 2026 18:02:17 -0700 Subject: [PATCH 082/165] refactor(adaptive_router): move update_queue out of litellm.proxy MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit P1 review: adaptive_router.py had a top-level import of AdaptiveRouterUpdateQueue from litellm.proxy.db, which broke the SDK/proxy boundary that every other router strategy respects. No other router_strategy module imports from litellm.proxy at module level. The queue only depends on litellm._logging — it never needed to live under litellm.proxy. Moved: litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py → litellm/router_strategy/adaptive_router/update_queue.py tests/test_litellm/proxy/db/db_transaction_queue/ test_adaptive_router_update_queue.py → tests/test_litellm/router_strategy/adaptive_router/test_update_queue.py Also switched the queue's logger from verbose_proxy_logger to verbose_router_logger to match the new module's ownership. P2 review: drop unused constant STAGNATION_JACCARD_EXACT from config.py — it was defined but never referenced. Co-Authored-By: Claude Opus 4.7 (1M context) --- .../adaptive_router/adaptive_router.py | 18 +++++++++--------- .../router_strategy/adaptive_router/config.py | 1 - .../adaptive_router/update_queue.py} | 6 +++--- .../adaptive_router/test_update_queue.py} | 2 +- 4 files changed, 13 insertions(+), 14 deletions(-) rename litellm/{proxy/db/db_transaction_queue/adaptive_router_update_queue.py => router_strategy/adaptive_router/update_queue.py} (98%) rename tests/test_litellm/{proxy/db/db_transaction_queue/test_adaptive_router_update_queue.py => router_strategy/adaptive_router/test_update_queue.py} (98%) diff --git a/litellm/router_strategy/adaptive_router/adaptive_router.py b/litellm/router_strategy/adaptive_router/adaptive_router.py index 8ab4a72d518..3bccef36e68 100644 --- a/litellm/router_strategy/adaptive_router/adaptive_router.py +++ b/litellm/router_strategy/adaptive_router/adaptive_router.py @@ -27,9 +27,6 @@ from litellm._logging import verbose_router_logger from litellm.litellm_core_utils.prompt_templates.common_utils import ( get_last_user_message, ) -from litellm.proxy.db.db_transaction_queue.adaptive_router_update_queue import ( - AdaptiveRouterUpdateQueue, -) from litellm.router_strategy.adaptive_router.bandit import ( BanditCell, apply_delta, @@ -43,18 +40,21 @@ from litellm.router_strategy.adaptive_router.config import ( MIN_QUALITY_TIER_METADATA_KEY, OWNER_CACHE_TTL_SECONDS, ) - -# Sweep session-state cache when it exceeds this many live entries. Expired -# entries are dropped in bulk; amortizes to O(1) per insert. -_SESSION_STATE_SWEEP_THRESHOLD: int = 1024 -# Same pattern for the owner cache. -_OWNER_CACHE_SWEEP_THRESHOLD: int = 1024 from litellm.router_strategy.adaptive_router.signals import ( SessionState, SignalDelta, Turn, apply_turn, ) +from litellm.router_strategy.adaptive_router.update_queue import ( + AdaptiveRouterUpdateQueue, +) + +# Sweep session-state cache when it exceeds this many live entries. Expired +# entries are dropped in bulk; amortizes to O(1) per insert. +_SESSION_STATE_SWEEP_THRESHOLD: int = 1024 +# Same pattern for the owner cache. +_OWNER_CACHE_SWEEP_THRESHOLD: int = 1024 from litellm.types.llms.openai import AllMessageValues from litellm.types.router import ( AdaptiveRouterConfig, diff --git a/litellm/router_strategy/adaptive_router/config.py b/litellm/router_strategy/adaptive_router/config.py index b49d7cdf6d2..e72826cc056 100644 --- a/litellm/router_strategy/adaptive_router/config.py +++ b/litellm/router_strategy/adaptive_router/config.py @@ -39,7 +39,6 @@ SIGNAL_GATE_MIN_MESSAGES: int = 4 # Detector thresholds (from Plano/Chen 2026 paper). MISALIGNMENT_JACCARD_THRESHOLD: float = 0.45 STAGNATION_JACCARD_NEAR_DUP: float = 0.50 -STAGNATION_JACCARD_EXACT: float = 0.85 LOOP_REPEAT_THRESHOLD: int = 3 TOOL_CALL_HISTORY_MAX: int = 20 diff --git a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py b/litellm/router_strategy/adaptive_router/update_queue.py similarity index 98% rename from litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py rename to litellm/router_strategy/adaptive_router/update_queue.py index c76ca16aa35..b667f3a53a7 100644 --- a/litellm/proxy/db/db_transaction_queue/adaptive_router_update_queue.py +++ b/litellm/router_strategy/adaptive_router/update_queue.py @@ -21,7 +21,7 @@ from __future__ import annotations import asyncio from typing import Any, Dict, Tuple -from litellm._logging import verbose_proxy_logger +from litellm._logging import verbose_router_logger StateKey = Tuple[str, str, str] # (router_name, request_type, model_name) SessionKey = Tuple[str, str, str] # (session_id, router_name, model_name) @@ -139,7 +139,7 @@ class AdaptiveRouterUpdateQueue: }, ) except Exception as e: - verbose_proxy_logger.exception( + verbose_router_logger.exception( "AdaptiveRouterUpdateQueue: failed to flush state for %s: %s", key, e, @@ -193,7 +193,7 @@ class AdaptiveRouterUpdateQueue: }, ) except Exception as e: - verbose_proxy_logger.exception( + verbose_router_logger.exception( "AdaptiveRouterUpdateQueue: failed to flush session for %s: %s", key, e, diff --git a/tests/test_litellm/proxy/db/db_transaction_queue/test_adaptive_router_update_queue.py b/tests/test_litellm/router_strategy/adaptive_router/test_update_queue.py similarity index 98% rename from tests/test_litellm/proxy/db/db_transaction_queue/test_adaptive_router_update_queue.py rename to tests/test_litellm/router_strategy/adaptive_router/test_update_queue.py index 6ac8e84337e..9baa69a19e0 100644 --- a/tests/test_litellm/proxy/db/db_transaction_queue/test_adaptive_router_update_queue.py +++ b/tests/test_litellm/router_strategy/adaptive_router/test_update_queue.py @@ -3,7 +3,7 @@ from unittest.mock import AsyncMock, MagicMock import pytest -from litellm.proxy.db.db_transaction_queue.adaptive_router_update_queue import ( +from litellm.router_strategy.adaptive_router.update_queue import ( AdaptiveRouterUpdateQueue, ) From 5837d4a9acfecfbab2a4d3e5ed6ffb507989fe78 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 18:10:31 -0700 Subject: [PATCH 083/165] =?UTF-8?q?bump:=20version=201.83.10=20=E2=86=92?= =?UTF-8?q?=201.83.11?= 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 d5d238473b1..aa8b125898f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "litellm" -version = "1.83.10" +version = "1.83.11" description = "Library to easily interface with LLM API providers" readme = "README.md" requires-python = ">=3.10, <3.14" @@ -236,7 +236,7 @@ source-exclude = [ profile = "black" [tool.commitizen] -version = "1.83.10" +version = "1.83.11" version_files = [ "pyproject.toml:^version", ] From e65d547c4d2cea94634aac6bedd308545226c450 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 18:10:47 -0700 Subject: [PATCH 084/165] adding uv lock --- uv.lock | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/uv.lock b/uv.lock index d99da67fb82..1d449012d94 100644 --- a/uv.lock +++ b/uv.lock @@ -9,7 +9,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-04-16T02:00:05.930008Z" +exclude-newer = "2026-04-19T01:10:36.69677Z" exclude-newer-span = "P3D" [manifest] @@ -3085,7 +3085,7 @@ wheels = [ [[package]] name = "litellm" -version = "1.83.10" +version = "1.83.11" source = { editable = "." } dependencies = [ { name = "aiohttp" }, From e6897f55102b138d58f8bf559f3a65caeffb9dcd Mon Sep 17 00:00:00 2001 From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com> Date: Tue, 21 Apr 2026 19:58:43 -0700 Subject: [PATCH 085/165] add moonshot/kimi-k2.6 to model registry (#26203) * add moonshot/kimi-k2.6 to model registry * add moonshot/kimi-k2.6 to backup model registry * add tests for moonshot/kimi-k2.6 model registry * fix moonshot/kimi-k2.6 pricing and add reasoning support * fix moonshot/kimi-k2.6 pricing and add reasoning support in backup * update kimi-k2.6 tests: fix pricing, add tool_choice and reasoning checks * fix: load kimi-k2.6 registry tests from local backup instead of remote cost map --- ...odel_prices_and_context_window_backup.json | 16 +++++++ model_prices_and_context_window.json | 16 +++++++ .../test_moonshot_chat_transformation.py | 42 +++++++++++++++++++ 3 files changed, 74 insertions(+) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 04b68b8f4ec..640607c0748 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -22872,6 +22872,22 @@ "supports_video_input": true, "supports_vision": true }, + "moonshot/kimi-k2.6": { + "cache_read_input_token_cost": 1.6e-07, + "input_cost_per_token": 9.5e-07, + "litellm_provider": "moonshot", + "max_input_tokens": 262144, + "max_output_tokens": 262144, + "max_tokens": 262144, + "mode": "chat", + "output_cost_per_token": 4e-06, + "source": "https://platform.kimi.ai/docs/pricing/chat-k26", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_video_input": true, + "supports_vision": true + }, "moonshot/kimi-latest": { "cache_read_input_token_cost": 1.5e-07, "input_cost_per_token": 2e-06, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 386532f07a3..303c48717f5 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -22886,6 +22886,22 @@ "supports_video_input": true, "supports_vision": true }, + "moonshot/kimi-k2.6": { + "cache_read_input_token_cost": 1.6e-07, + "input_cost_per_token": 9.5e-07, + "litellm_provider": "moonshot", + "max_input_tokens": 262144, + "max_output_tokens": 262144, + "max_tokens": 262144, + "mode": "chat", + "output_cost_per_token": 4e-06, + "source": "https://platform.kimi.ai/docs/pricing/chat-k26", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_video_input": true, + "supports_vision": true + }, "moonshot/kimi-latest": { "cache_read_input_token_cost": 1.5e-07, "input_cost_per_token": 2e-06, diff --git a/tests/test_litellm/llms/moonshot/test_moonshot_chat_transformation.py b/tests/test_litellm/llms/moonshot/test_moonshot_chat_transformation.py index 6dabbe9b2f2..b4744a7ed18 100644 --- a/tests/test_litellm/llms/moonshot/test_moonshot_chat_transformation.py +++ b/tests/test_litellm/llms/moonshot/test_moonshot_chat_transformation.py @@ -18,6 +18,7 @@ import pytest import litellm import litellm.utils from litellm import completion +from litellm.litellm_core_utils.get_model_cost_map import GetModelCostMap from litellm.llms.moonshot.chat.transformation import MoonshotChatConfig @@ -653,3 +654,44 @@ class TestMoonshotConfig: result[1].get("reasoning_content") == "Planning to call weather tool" ) + + +class TestKimiK26ModelRegistry: + """Tests that kimi-k2.6 is correctly registered in the model registry.""" + + @pytest.fixture(autouse=True) + def model_cost_map(self): + """Load directly from the bundled backup so tests don't depend on remote fetch.""" + return GetModelCostMap.load_local_model_cost_map() + + def test_kimi_k26_in_model_cost_map(self, model_cost_map): + """kimi-k2.6 should be present in the model cost map.""" + assert "moonshot/kimi-k2.6" in model_cost_map, "moonshot/kimi-k2.6 not found in model_cost" + + def test_kimi_k26_pricing(self, model_cost_map): + """kimi-k2.6 pricing should match official Kimi API rates.""" + model_info = model_cost_map["moonshot/kimi-k2.6"] + assert model_info["input_cost_per_token"] == pytest.approx(9.5e-07) + assert model_info["output_cost_per_token"] == pytest.approx(4e-06) + assert model_info["cache_read_input_token_cost"] == pytest.approx(1.6e-07) + + def test_kimi_k26_context_window(self, model_cost_map): + """kimi-k2.6 should have a 256K (262144 token) context window.""" + model_info = model_cost_map["moonshot/kimi-k2.6"] + assert model_info["max_input_tokens"] == 262144 + assert model_info["max_output_tokens"] == 262144 + assert model_info["max_tokens"] == 262144 + + def test_kimi_k26_capabilities(self, model_cost_map): + """kimi-k2.6 should support function calling, vision, video input, tool choice, and reasoning.""" + model_info = model_cost_map["moonshot/kimi-k2.6"] + assert model_info.get("supports_function_calling") is True + assert model_info.get("supports_tool_choice") is True + assert model_info.get("supports_vision") is True + assert model_info.get("supports_video_input") is True + assert model_info.get("supports_reasoning") is True + + def test_kimi_k26_provider(self, model_cost_map): + """kimi-k2.6 should be assigned to the moonshot provider.""" + model_info = model_cost_map["moonshot/kimi-k2.6"] + assert model_info["litellm_provider"] == "moonshot" From 0e42d4cb08573466374d3a8a19efa716cf9d3616 Mon Sep 17 00:00:00 2001 From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com> Date: Tue, 21 Apr 2026 20:18:56 -0700 Subject: [PATCH 086/165] April 21st Ishaan Branch (#26213) * fix(otel): preserve Splunk Observability Cloud trace OTLP endpoint (#26183) * fix(otel): preserve Splunk Observability Cloud trace OTLP URL Splunk ingest uses /v2/trace/otlp; _normalize_otel_endpoint must not append /v1/traces. - Return trace endpoints unchanged when they match Splunk OTLP path patterns - Add unit tests for observability.splunkcloud.com, signalfx.com, and /trace/otlp suffix - Set OTEL_EXPORTER_OTLP_PROTOCOL in protocol selection tests (from_env precedence over OTEL_EXPORTER) Made-with: Cursor * test(otel): use parameterized.expand for Splunk OTLP URL cases Made-with: Cursor * fix(otel): narrow Splunk trace URL guard to /v2/trace/otlp only Made-with: Cursor * test(otel): cover OTEL_EXPORTER fallback when OTLP protocol env unset Made-with: Cursor * Add Openrouter Opus 4.7 Entry (#26130) --------- Co-authored-by: milan-berri Co-authored-by: Matt Greathouse --- litellm/integrations/opentelemetry.py | 4 + model_prices_and_context_window.json | 22 +++++ .../integrations/test_opentelemetry.py | 88 ++++++++++++++++++- 3 files changed, 112 insertions(+), 2 deletions(-) diff --git a/litellm/integrations/opentelemetry.py b/litellm/integrations/opentelemetry.py index 7ff360758e8..b6d91d0b76d 100644 --- a/litellm/integrations/opentelemetry.py +++ b/litellm/integrations/opentelemetry.py @@ -2289,6 +2289,10 @@ class OpenTelemetry(CustomLogger): # Remove trailing slash endpoint = endpoint.rstrip("/") + # Splunk Observability Cloud OTLP/HTTP uses /v2/trace/otlp (not /v1/traces). Do not rewrite. + if signal_type == "traces" and "/v2/trace/otlp" in endpoint: + return endpoint + # Check if endpoint already ends with the correct signal path target_path = f"/v1/{signal_type}" if endpoint.endswith(target_path): diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 303c48717f5..4e629bbd947 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -25165,6 +25165,28 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346 }, + "openrouter/anthropic/claude-opus-4.7": { + "cache_creation_input_token_cost": 6.25e-06, + "cache_read_input_token_cost": 5e-07, + "input_cost_per_token": 5e-06, + "litellm_provider": "openrouter", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 2.5e-05, + "supports_assistant_prefill": false, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_xhigh_reasoning_effort": true, + "tool_use_system_prompt_tokens": 346 + }, "openrouter/bytedance/ui-tars-1.5-7b": { "input_cost_per_token": 1e-07, "litellm_provider": "openrouter", diff --git a/tests/test_litellm/integrations/test_opentelemetry.py b/tests/test_litellm/integrations/test_opentelemetry.py index e723298b1c9..f7106471894 100644 --- a/tests/test_litellm/integrations/test_opentelemetry.py +++ b/tests/test_litellm/integrations/test_opentelemetry.py @@ -1047,6 +1047,36 @@ class TestOpenTelemetryEndpointNormalization(unittest.TestCase): result = otel._normalize_otel_endpoint("http://collector:4318/", "traces") self.assertEqual(result, "http://collector:4318/v1/traces") + @parameterized.expand( + [ + ( + "https://ingest.eu1.observability.splunkcloud.com/v2/trace/otlp", + "https://ingest.eu1.observability.splunkcloud.com/v2/trace/otlp", + ), + ( + "https://ingest.us0.observability.splunkcloud.com/v2/trace/otlp/", + "https://ingest.us0.observability.splunkcloud.com/v2/trace/otlp", + ), + ( + "https://ingest.eu0.signalfx.com/v2/trace/otlp", + "https://ingest.eu0.signalfx.com/v2/trace/otlp", + ), + ( + "https://example.com/prefix/v2/trace/otlp", + "https://example.com/prefix/v2/trace/otlp", + ), + ] + ) + def test_normalize_traces_nonstandard_otlp_ingest_urls_unchanged( + self, input_url: str, expected: str + ) -> None: + """Splunk-style /v2/trace/otlp endpoints must not get /v1/traces appended.""" + otel = OpenTelemetry() + self.assertEqual( + otel._normalize_otel_endpoint(input_url, "traces"), + expected, + ) + def test_normalize_endpoint_none(self): """Test that None endpoint returns None""" otel = OpenTelemetry() @@ -1315,7 +1345,7 @@ class TestOpenTelemetryProtocolSelection(unittest.TestCase): @patch.dict( os.environ, { - "OTEL_EXPORTER": "otlp_http", + "OTEL_EXPORTER_OTLP_PROTOCOL": "http/protobuf", "OTEL_EXPORTER_OTLP_ENDPOINT": "http://collector:4318", }, clear=False, @@ -1339,7 +1369,7 @@ class TestOpenTelemetryProtocolSelection(unittest.TestCase): @patch.dict( os.environ, { - "OTEL_EXPORTER": "otlp_grpc", + "OTEL_EXPORTER_OTLP_PROTOCOL": "grpc", "OTEL_EXPORTER_OTLP_ENDPOINT": "http://collector:4317", }, clear=False, @@ -1360,6 +1390,60 @@ class TestOpenTelemetryProtocolSelection(unittest.TestCase): self.assertIsInstance(processor, BatchSpanProcessor) self.assertIsInstance(processor.span_exporter, OTLPSpanExporterGRPC) + @patch.dict( + os.environ, + { + "OTEL_EXPORTER": "otlp_http", + "OTEL_EXPORTER_OTLP_ENDPOINT": "http://collector:4318", + }, + clear=False, + ) + def test_protocol_selection_from_otel_exporter_fallback_http(self): + """OTEL_EXPORTER drives protocol when OTEL_EXPORTER_OTLP_PROTOCOL is unset.""" + from opentelemetry.exporter.otlp.proto.http.trace_exporter import ( + OTLPSpanExporter as OTLPSpanExporterHTTP, + ) + from opentelemetry.sdk.trace.export import BatchSpanProcessor + + popped_protocol = os.environ.pop("OTEL_EXPORTER_OTLP_PROTOCOL", None) + try: + config = OpenTelemetryConfig.from_env() + self.assertEqual(config.exporter, "otlp_http") + otel = OpenTelemetry(config=config) + processor = otel._get_span_processor() + self.assertIsInstance(processor, BatchSpanProcessor) + self.assertIsInstance(processor.span_exporter, OTLPSpanExporterHTTP) + finally: + if popped_protocol is not None: + os.environ["OTEL_EXPORTER_OTLP_PROTOCOL"] = popped_protocol + + @patch.dict( + os.environ, + { + "OTEL_EXPORTER": "otlp_grpc", + "OTEL_EXPORTER_OTLP_ENDPOINT": "http://collector:4317", + }, + clear=False, + ) + def test_protocol_selection_from_otel_exporter_fallback_grpc(self): + """OTEL_EXPORTER drives protocol when OTEL_EXPORTER_OTLP_PROTOCOL is unset.""" + from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import ( + OTLPSpanExporter as OTLPSpanExporterGRPC, + ) + from opentelemetry.sdk.trace.export import BatchSpanProcessor + + popped_protocol = os.environ.pop("OTEL_EXPORTER_OTLP_PROTOCOL", None) + try: + config = OpenTelemetryConfig.from_env() + self.assertEqual(config.exporter, "otlp_grpc") + otel = OpenTelemetry(config=config) + processor = otel._get_span_processor() + self.assertIsInstance(processor, BatchSpanProcessor) + self.assertIsInstance(processor.span_exporter, OTLPSpanExporterGRPC) + finally: + if popped_protocol is not None: + os.environ["OTEL_EXPORTER_OTLP_PROTOCOL"] = popped_protocol + def test_http_exporter_endpoint_normalization_for_traces(self): """Test that HTTP trace exporter gets properly normalized endpoint""" config = OpenTelemetryConfig( From 439bbd223ba0d35270862b8b319c4c86e8c9ca11 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 23:09:41 -0700 Subject: [PATCH 087/165] [Infra] Clean up unused CCI jobs and pin docker images by digest - Remove mypy_linting job (GHA test-linting.yml already runs this) - Remove three redundant "Install curl" apt-get steps (curl is already present on the ubuntu-2204 machine image and used successfully earlier in each affected job) - Dedupe langfuse_logging_unit_tests filter block (6x copy of the same two branch filters collapsed to 1) - Pin all docker image references by @sha256 digest so builds stay reproducible when upstream tags are updated: cimg/python:3.9, 3.11, 3.12, 3.12-browsers, 3.13.1, cimg/node:20.19, cimg/postgres:16.0, and postgres:14 used via docker run Net: -62 lines, 49 image references pinned. --- .circleci/config.yml | 160 +++++++++++++------------------------------ 1 file changed, 49 insertions(+), 111 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index db8e7d49d71..e705e597b39 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -136,40 +136,9 @@ jobs: command: | uv run --no-sync python -m pytest tests/windows_tests/test_litellm_on_windows.py -v - mypy_linting: - docker: - - image: cimg/python:3.12 - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} - working_directory: ~/project - resource_class: medium - - steps: - - checkout - - setup_google_dns - - run: - name: Install Dependencies - command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" - uv sync --frozen --group dev --python "$(which python)" --no-install-package fastuuid - - run: - name: MyPy Type Checking - command: | - cd litellm - # Use the same approach as GitHub Actions, explicitly exclude fastuuid to avoid segfaults - uv run --no-sync python -m mypy . - cd .. - no_output_timeout: 10m - semgrep: docker: - - image: cimg/python:3.12 + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -196,7 +165,7 @@ jobs: local_testing_part1: docker: - - image: cimg/python:3.12 + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -286,7 +255,7 @@ jobs: - local_testing_part1_coverage local_testing_part2: docker: - - image: cimg/python:3.12 + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -376,7 +345,7 @@ jobs: - local_testing_part2_coverage langfuse_logging_unit_tests: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -435,11 +404,11 @@ jobs: path: test-results auth_ui_unit_tests: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} - - image: cimg/postgres:16.0 + - image: cimg/postgres:16.0@sha256:b125148bc76e8e8eee5eb3ad6020a3a14110a14e8192f1c645128afebe2e2f84 environment: POSTGRES_USER: postgres POSTGRES_PASSWORD: postgres @@ -497,7 +466,7 @@ jobs: litellm_router_testing: # Runs all tests with the "router" keyword docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -556,7 +525,7 @@ jobs: litellm_router_unit_testing: # Runs all tests with the "router" keyword docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -603,7 +572,7 @@ jobs: path: test-results litellm_assistants_api_testing: # Runs all tests with the "assistants" keyword docker: - - image: cimg/python:3.13.1 + - image: cimg/python:3.13.1@sha256:87b243ae80d154db75ce5e58af16c72c5dd4b1e23e5c7264a816e85e0c440c13 auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -642,7 +611,7 @@ jobs: path: test-results llm_translation_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -699,7 +668,7 @@ jobs: path: test-results realtime_translation_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -749,7 +718,7 @@ jobs: - realtime_translation_coverage mcp_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -797,7 +766,7 @@ jobs: - mcp_coverage agent_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -845,7 +814,7 @@ jobs: - agent_coverage guardrails_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -894,7 +863,7 @@ jobs: google_generate_content_endpoint_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -943,7 +912,7 @@ jobs: llm_responses_api_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -990,7 +959,7 @@ jobs: path: test-results ocr_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1038,7 +1007,7 @@ jobs: - ocr_coverage search_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1087,7 +1056,7 @@ jobs: # Split litellm_mapped_tests into parallel jobs litellm_mapped_tests_proxy_part1: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1106,7 +1075,7 @@ jobs: path: test-results litellm_mapped_tests_proxy_part2: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1125,7 +1094,7 @@ jobs: path: test-results litellm_mapped_enterprise_tests: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1164,7 +1133,7 @@ jobs: path: test-results batches_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1212,7 +1181,7 @@ jobs: - batches_coverage litellm_utils_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1261,7 +1230,7 @@ jobs: pass_through_unit_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1309,7 +1278,7 @@ jobs: - pass_through_unit_tests_coverage image_gen_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1347,7 +1316,7 @@ jobs: path: test-results logging_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1396,7 +1365,7 @@ jobs: - logging_coverage audio_testing: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1444,7 +1413,7 @@ jobs: - audio_coverage redis_caching_unit_tests: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1499,7 +1468,7 @@ jobs: - redis_caching_coverage installing_litellm_on_python: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1533,11 +1502,11 @@ jobs: installing_litellm_on_python_v2_migration_resolver: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} - - image: cimg/postgres:16.0 + - image: cimg/postgres:16.0@sha256:b125148bc76e8e8eee5eb3ad6020a3a14110a14e8192f1c645128afebe2e2f84 environment: POSTGRES_USER: postgres POSTGRES_PASSWORD: postgres @@ -1576,7 +1545,7 @@ jobs: installing_litellm_on_python_3_13: docker: - - image: cimg/python:3.13.1 + - image: cimg/python:3.13.1@sha256:87b243ae80d154db75ce5e58af16c72c5dd4b1e23e5c7264a816e85e0c440c13 auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1689,7 +1658,7 @@ jobs: check_code_and_doc_quality: docker: - - image: cimg/python:3.11 + - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1786,7 +1755,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=litellm_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -1901,7 +1870,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -1947,11 +1916,6 @@ jobs: --config /app/config.yaml \ --port 4000 \ --detailed_debug \ - - run: - name: Install curl - command: | - sudo apt-get update - sudo apt-get install -y curl - run: name: Start outputting logs command: docker logs -f my-app @@ -2017,7 +1981,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -2066,11 +2030,6 @@ jobs: --config /app/config.yaml \ --port 4000 \ --detailed_debug \ - - run: - name: Install curl - command: | - sudo apt-get update - sudo apt-get install -y curl - run: name: Start outputting logs command: docker logs -f my-app @@ -2136,7 +2095,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -2287,7 +2246,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -2325,11 +2284,6 @@ jobs: --config /app/config.yaml \ --port 4000 \ --detailed_debug \ - - run: - name: Install curl - command: | - sudo apt-get update - sudo apt-get install -y curl - run: name: Start outputting logs command: docker logs -f my-app @@ -2398,7 +2352,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -2523,7 +2477,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -2626,7 +2580,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - run: name: Wait for PostgreSQL to be ready command: | @@ -2725,7 +2679,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -2885,7 +2839,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -2941,7 +2895,7 @@ jobs: upload-coverage: docker: - - image: cimg/python:3.9 + - image: cimg/python:3.9@sha256:32e85ea8c78a81b316a1ef956c11a591d0c47d2cc864ace824e4dc7cf87b34e0 steps: - checkout - attach_workspace: @@ -2970,7 +2924,7 @@ jobs: ui_build: docker: - - image: cimg/node:20.19 + - image: cimg/node:20.19@sha256:35e64883e8d21bc345b0a7b04c35ee46442c127607ed1d8d7d37d8a1ed76db81 auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -3012,7 +2966,7 @@ jobs: ui_unit_tests: docker: - - image: cimg/node:20.19 + - image: cimg/node:20.19@sha256:35e64883e8d21bc345b0a7b04c35ee46442c127607ed1d8d7d37d8a1ed76db81 auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -3044,11 +2998,11 @@ jobs: e2e_ui_testing: docker: - - image: cimg/python:3.12-browsers + - image: cimg/python:3.12-browsers@sha256:b432899af01c9a311bf74f4f22e9ada2e5306d4b1b4383f8d29e1228a5844ef2 auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} - - image: cimg/postgres:16.0 + - image: cimg/postgres:16.0@sha256:b125148bc76e8e8eee5eb3ad6020a3a14110a14e8192f1c645128afebe2e2f84 environment: POSTGRES_USER: e2euser POSTGRES_PASSWORD: e2epassword @@ -3210,7 +3164,7 @@ jobs: -e POSTGRES_PASSWORD=postgres \ -e POSTGRES_DB=circle_test \ -p 5432:5432 \ - postgres:14 + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -3254,12 +3208,6 @@ workflows: only: - main - /litellm_.*/ - - mypy_linting: - filters: - branches: - only: - - main - - /litellm_.*/ - semgrep: filters: branches: @@ -3284,16 +3232,6 @@ workflows: only: - main - /litellm_.*/ - - main - - /litellm_.*/ - - main - - /litellm_.*/ - - main - - /litellm_.*/ - - main - - /litellm_.*/ - - main - - /litellm_.*/ - litellm_assistants_api_testing: filters: branches: From f490340a525fbe04ceb43c56643783a5d542cc6a Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 23:12:22 -0700 Subject: [PATCH 088/165] [Refactor] Add install_uv reusable command and migrate all call sites Add a single install_uv command in the commands: section that encodes the uv version (0.10.9) and its SHA256 in one place, then replace all 42 inline curl|sha256|install blocks across every job that needs uv. setup_litellm_test_deps now calls install_uv too, so the shared test-dep bootstrap goes through the same path. Bumping uv version or SHA is now a one-line change instead of 43. Net: -203 lines. --- .circleci/config.yml | 306 ++++++++----------------------------------- 1 file changed, 54 insertions(+), 252 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index e705e597b39..f9b91c5b25f 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -66,6 +66,18 @@ commands: echo "513a7213d6d3332dd9ef27c24dab35e5ef10a04fa27274fe1c14d8a246493ded /tmp/kind" | sha256sum -c - chmod +x /tmp/kind sudo mv /tmp/kind /usr/local/bin/kind + install_uv: + description: "Install pinned uv (0.10.9) with checksum verification. Adds ~/.local/bin to PATH." + steps: + - run: + name: Install uv (pinned 0.10.9) + command: | + curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh + echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - + env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh + rm -f /tmp/uv-install.sh + echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" + export PATH="$HOME/.local/bin:$PATH" setup_litellm_enterprise_pip: steps: - run: @@ -83,15 +95,10 @@ commands: - restore_cache: keys: - v3-litellm-uv-deps-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" uv sync --frozen --all-groups --all-extras --python "$(which python)" - setup_litellm_enterprise_pip - save_cache: @@ -147,15 +154,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Semgrep command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" - run: name: Run Semgrep (custom rules only) command: | @@ -182,15 +184,10 @@ jobs: - restore_cache: keys: - v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -272,15 +269,10 @@ jobs: - restore_cache: keys: - v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -363,15 +355,10 @@ jobs: - restore_cache: keys: - v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -420,15 +407,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -479,15 +461,10 @@ jobs: - restore_cache: keys: - v1-router-testing-deps-{{ checksum "uv.lock" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -538,15 +515,10 @@ jobs: - restore_cache: keys: - v1-router-unit-deps-{{ checksum "uv.lock" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -582,15 +554,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -624,15 +591,10 @@ jobs: - restore_cache: keys: - v1-llm-translation-deps-{{ checksum "uv.lock" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -677,15 +639,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -727,15 +684,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -775,15 +727,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -823,15 +770,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -872,15 +814,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -925,15 +862,10 @@ jobs: - restore_cache: keys: - v1-llm-responses-deps-{{ checksum "uv.lock" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -968,15 +900,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1016,15 +943,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1104,15 +1026,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1142,15 +1059,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1190,15 +1102,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1239,15 +1146,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1288,15 +1190,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1325,15 +1222,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1374,15 +1266,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1425,15 +1312,10 @@ jobs: - restore_cache: keys: - v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" uv sync --frozen --all-groups --all-extras --python "$(which python)" - save_cache: paths: @@ -1477,15 +1359,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1518,15 +1395,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1555,15 +1427,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1667,15 +1534,10 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1731,15 +1593,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1846,15 +1703,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -1957,15 +1809,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -2071,15 +1918,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -2222,15 +2064,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -2328,15 +2165,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -2453,15 +2285,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -2552,15 +2379,10 @@ jobs: conda create -n myenv python=3.13 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -2655,15 +2477,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -2815,15 +2632,10 @@ jobs: conda create -n myenv python=3.10 -y conda activate myenv python --version + - install_uv - run: name: Install Dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then export PATH="$HOME/miniconda/bin:$PATH" source "$HOME/miniconda/etc/profile.d/conda.sh" @@ -2908,15 +2720,10 @@ jobs: ls -la echo "\nContents of tests/llm_translation:" ls -la tests/llm_translation + - install_uv - run: name: Combine Coverage command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" uv tool run --from 'coverage[toml]==7.10.6' coverage combine realtime_translation_coverage ocr_coverage search_coverage mcp_coverage logging_coverage audio_coverage local_testing_part1_coverage local_testing_part2_coverage pass_through_unit_tests_coverage batches_coverage guardrails_coverage redis_caching_coverage uv tool run --from 'coverage[toml]==7.10.6' coverage xml - codecov/upload: @@ -3018,15 +2825,10 @@ jobs: - restore_cache: keys: - ui-e2e-py-deps-v2-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - install_uv - run: name: Install Python dependencies command: | - curl -LsSf -o /tmp/uv-install.sh https://astral.sh/uv/0.10.9/install.sh - echo "7fc46e39cb97290b57169c0c813a17970585ac519139f19006453c99b5f2f45f /tmp/uv-install.sh" | sha256sum -c - - env UV_NO_MODIFY_PATH=1 sh /tmp/uv-install.sh - rm -f /tmp/uv-install.sh - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" uv sync --frozen --all-groups --all-extras --python "$(which python)" uv run --no-sync python -m prisma generate --schema litellm/proxy/schema.prisma - save_cache: From 344be27e831aa98159e5cfaeef9b129278d90b07 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 23:14:46 -0700 Subject: [PATCH 089/165] [Refactor] Add start_postgres reusable command and migrate call sites Add a start_postgres command parameterized on db_name (default circle_test) that runs the postgres-db container and waits for port 5432 to accept connections. Replace all 11 inline docker run / wait_for_service blocks with a single - start_postgres call. The helm chart test overrides db_name to litellm_test; everything else uses the default. One of the 11 sites previously used a bespoke pg_isready loop instead of wait_for_service; it now goes through the same TCP-probe path everyone else uses, which is sufficient for test ordering purposes. Net: -112 lines. --- .circleci/config.yml | 176 ++++++++----------------------------------- 1 file changed, 32 insertions(+), 144 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index f9b91c5b25f..65ab0e1091d 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -78,6 +78,26 @@ commands: rm -f /tmp/uv-install.sh echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" export PATH="$HOME/.local/bin:$PATH" + start_postgres: + description: "Start a postgres-db container on port 5432 and wait until it accepts connections." + parameters: + db_name: + type: string + default: circle_test + steps: + - run: + name: Start PostgreSQL + command: | + docker run -d \ + --name postgres-db \ + -e POSTGRES_USER=postgres \ + -e POSTGRES_PASSWORD=postgres \ + -e POSTGRES_DB=<< parameters.db_name >> \ + -p 5432:5432 \ + postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 + - wait_for_service: + url: tcp://localhost:5432 + timeout: "60" setup_litellm_enterprise_pip: steps: - run: @@ -1603,19 +1623,8 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=litellm_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres: + db_name: litellm_test - attach_workspace: at: ~/project - run: @@ -1713,19 +1722,7 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - run: name: Load Docker Database Image command: | @@ -1819,19 +1816,7 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - attach_workspace: at: ~/project - run: @@ -1928,19 +1913,7 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - attach_workspace: at: ~/project - run: @@ -2074,19 +2047,7 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - attach_workspace: at: ~/project - run: @@ -2175,19 +2136,7 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - attach_workspace: at: ~/project - run: @@ -2295,19 +2244,7 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - attach_workspace: at: ~/project - run: @@ -2393,20 +2330,7 @@ jobs: name: Build Docker image command: | docker build -t my-app:latest -f docker/build_from_pip/Dockerfile.build_from_pip . - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - run: - name: Wait for PostgreSQL to be ready - command: | - timeout 60s bash -c 'until docker exec postgres-db pg_isready -U postgres -d circle_test; do sleep 2; done' + - start_postgres - run: name: Run Docker container # intentionally give bad redis credentials here @@ -2487,19 +2411,7 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - attach_workspace: at: ~/project - run: @@ -2642,19 +2554,7 @@ jobs: conda activate myenv fi uv sync --frozen --all-groups --all-extras --python "$(which python)" - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - attach_workspace: at: ~/project - run: @@ -2957,19 +2857,7 @@ jobs: - attach_workspace: at: ~/project - setup_google_dns - - run: - name: Start PostgreSQL Database - command: | - docker run -d \ - --name postgres-db \ - -e POSTGRES_USER=postgres \ - -e POSTGRES_PASSWORD=postgres \ - -e POSTGRES_DB=circle_test \ - -p 5432:5432 \ - postgres:14@sha256:6a70deda415ec296f977890e11aba04a0db9f632a362e3fce45e845e3db74f26 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" + - start_postgres - run: name: Load Docker Database Image command: | From 0a65d2c53535d052f5350d994fdf74ee3ed09ea7 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 23:19:21 -0700 Subject: [PATCH 090/165] [Infra] Standardize default Python to 3.12 and remove miniconda setup Docker-executor jobs: - Consolidate base images on cimg/python:3.12. Jobs previously on 3.11 (26 jobs), 3.9 (1 historical: upload-coverage), and an incidental 3.13.1 (litellm_assistants_api_testing) now use 3.12. - installing_litellm_on_python_3_13 keeps cimg/python:3.13.1 as its explicit "latest Python supported" install-check matrix job. Machine-executor jobs: - Delete the miniconda install step from 10 jobs. uv now manages Python directly: uv sync --python 3.12 auto-downloads a python-build-standalone interpreter if the ubuntu-2204 base image's default python doesn't match. - Remove 37 "if [ -f conda.sh ]; then conda activate myenv" wrappers and 2 unconditional conda activate blocks left behind from the conda days. - proxy_build_from_pip_tests keeps its 3.13 target (it was conda create -n myenv python=3.13) via uv sync --python 3.13. Net: -301 lines. --- .circleci/config.yml | 437 +++++++------------------------------------ 1 file changed, 68 insertions(+), 369 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 65ab0e1091d..ff33ee2a640 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -119,7 +119,7 @@ commands: - run: name: Install Dependencies command: | - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - setup_litellm_enterprise_pip - save_cache: paths: @@ -208,12 +208,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - setup_litellm_enterprise_pip - save_cache: paths: @@ -293,12 +288,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - setup_litellm_enterprise_pip - save_cache: paths: @@ -357,7 +347,7 @@ jobs: - local_testing_part2_coverage langfuse_logging_unit_tests: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -379,12 +369,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - setup_litellm_enterprise_pip - save_cache: paths: @@ -411,7 +396,7 @@ jobs: path: test-results auth_ui_unit_tests: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -431,12 +416,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - ./.venv @@ -468,7 +448,7 @@ jobs: litellm_router_testing: # Runs all tests with the "router" keyword docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -485,12 +465,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - /home/circleci/.pyenv @@ -522,7 +497,7 @@ jobs: litellm_router_unit_testing: # Runs all tests with the "router" keyword docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -539,12 +514,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - /home/circleci/.pyenv @@ -564,7 +534,7 @@ jobs: path: test-results litellm_assistants_api_testing: # Runs all tests with the "assistants" keyword docker: - - image: cimg/python:3.13.1@sha256:87b243ae80d154db75ce5e58af16c72c5dd4b1e23e5c7264a816e85e0c440c13 + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -578,12 +548,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - setup_litellm_enterprise_pip - run: @@ -598,7 +563,7 @@ jobs: path: test-results llm_translation_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -615,12 +580,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - /home/circleci/.pyenv @@ -650,7 +610,7 @@ jobs: path: test-results realtime_translation_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -663,12 +623,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run realtime tests @@ -695,7 +650,7 @@ jobs: - realtime_translation_coverage mcp_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -708,12 +663,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -738,7 +688,7 @@ jobs: - mcp_coverage agent_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -751,12 +701,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -781,7 +726,7 @@ jobs: - agent_coverage guardrails_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -794,12 +739,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -825,7 +765,7 @@ jobs: google_generate_content_endpoint_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -838,12 +778,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -869,7 +804,7 @@ jobs: llm_responses_api_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -886,12 +821,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - /home/circleci/.pyenv @@ -911,7 +841,7 @@ jobs: path: test-results ocr_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -924,12 +854,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -954,7 +879,7 @@ jobs: - ocr_coverage search_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -967,12 +892,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -998,7 +918,7 @@ jobs: # Split litellm_mapped_tests into parallel jobs litellm_mapped_tests_proxy_part1: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1017,7 +937,7 @@ jobs: path: test-results litellm_mapped_tests_proxy_part2: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1036,7 +956,7 @@ jobs: path: test-results litellm_mapped_enterprise_tests: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1050,12 +970,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - setup_litellm_enterprise_pip - run: name: Run enterprise tests @@ -1070,7 +985,7 @@ jobs: path: test-results batches_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1083,12 +998,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -1113,7 +1023,7 @@ jobs: - batches_coverage litellm_utils_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1126,12 +1036,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -1157,7 +1062,7 @@ jobs: pass_through_unit_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1170,12 +1075,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -1200,7 +1100,7 @@ jobs: - pass_through_unit_tests_coverage image_gen_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1214,12 +1114,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -1233,7 +1128,7 @@ jobs: path: test-results logging_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1246,12 +1141,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - setup_litellm_enterprise_pip - run: @@ -1277,7 +1167,7 @@ jobs: - logging_coverage audio_testing: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1290,12 +1180,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 # Run pytest and generate JUnit XML report - run: name: Run tests @@ -1320,7 +1205,7 @@ jobs: - audio_coverage redis_caching_unit_tests: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1336,7 +1221,7 @@ jobs: - run: name: Install Dependencies command: | - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - ./.venv @@ -1370,7 +1255,7 @@ jobs: - redis_caching_coverage installing_litellm_on_python: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1383,12 +1268,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - setup_litellm_enterprise_pip - run: name: Run tests @@ -1399,7 +1279,7 @@ jobs: installing_litellm_on_python_v2_migration_resolver: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1419,12 +1299,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - setup_litellm_enterprise_pip - wait_for_service: url: tcp://localhost:5432 @@ -1451,12 +1326,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.13 - run: name: Run tests command: | @@ -1545,7 +1415,7 @@ jobs: check_code_and_doc_quality: docker: - - image: cimg/python:3.11@sha256:89910694a298ea0c861750804ddd100ac0ae8c6386055a8a68f7713dcdeb373d + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -1558,12 +1428,7 @@ jobs: - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - run: uv run --no-sync python -c "from litellm import *" || (echo '🚨 import failed, this means you introduced unprotected imports! 🚨'; exit 1) - run: uv run --no-sync ruff check ./litellm # - run: python ./tests/documentation_tests/test_general_setting_keys.py @@ -1602,27 +1467,11 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Install Python 3.9 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres: db_name: litellm_test - attach_workspace: @@ -1701,27 +1550,11 @@ jobs: - attach_workspace: at: ~/project - setup_google_dns - - run: - name: Install Python 3.9 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres - run: name: Load Docker Database Image @@ -1795,27 +1628,11 @@ jobs: name: Verify Docker is available command: | docker version - - run: - name: Install Python 3.10 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres - attach_workspace: at: ~/project @@ -1892,27 +1709,11 @@ jobs: name: Verify Docker is available command: | docker version - - run: - name: Install Python 3.9 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres - attach_workspace: at: ~/project @@ -2026,27 +1827,11 @@ jobs: name: Verify Docker is available command: | docker version - - run: - name: Install Python 3.9 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres - attach_workspace: at: ~/project @@ -2115,27 +1900,11 @@ jobs: name: Verify Docker is available command: | docker version - - run: - name: Install Python 3.9 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres - attach_workspace: at: ~/project @@ -2223,27 +1992,11 @@ jobs: command: | docker version sudo systemctl restart docker - - run: - name: Install Python 3.9 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres - attach_workspace: at: ~/project @@ -2305,27 +2058,11 @@ jobs: - checkout - setup_google_dns # Remove Docker CLI installation since it's already available in machine executor - - run: - name: Install Python 3.13 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.13 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.13 - run: name: Build Docker image command: | @@ -2390,27 +2127,11 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Install Python 3.10 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres - attach_workspace: at: ~/project @@ -2509,9 +2230,6 @@ jobs: - run: name: Run tests command: | - export PATH="$HOME/miniconda/bin:$PATH" - source $HOME/miniconda/etc/profile.d/conda.sh - conda activate myenv pwd ls uv run --no-sync python -m pytest -v tests/pass_through_tests/ -x --junitxml=test-results/junit.xml --durations=5 @@ -2533,27 +2251,11 @@ jobs: name: Verify Docker is available command: | docker version - - run: - name: Install Python 3.10 - command: | - curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh --output miniconda.sh - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - conda init bash - source ~/.bashrc - conda create -n myenv python=3.10 -y - conda activate myenv - python --version - install_uv - run: name: Install Dependencies command: | - if [ -f "$HOME/miniconda/etc/profile.d/conda.sh" ]; then - export PATH="$HOME/miniconda/bin:$PATH" - source "$HOME/miniconda/etc/profile.d/conda.sh" - conda activate myenv - fi - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres - attach_workspace: at: ~/project @@ -2591,9 +2293,6 @@ jobs: - run: name: Run Claude Agent SDK E2E Tests command: | - export PATH="$HOME/miniconda/bin:$PATH" - source $HOME/miniconda/etc/profile.d/conda.sh - conda activate myenv export LITELLM_PROXY_URL="http://localhost:4000" export LITELLM_API_KEY="sk-1234" pwd @@ -2607,7 +2306,7 @@ jobs: upload-coverage: docker: - - image: cimg/python:3.9@sha256:32e85ea8c78a81b316a1ef956c11a591d0c47d2cc864ace824e4dc7cf87b34e0 + - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c steps: - checkout - attach_workspace: @@ -2729,7 +2428,7 @@ jobs: - run: name: Install Python dependencies command: | - uv sync --frozen --all-groups --all-extras --python "$(which python)" + uv sync --frozen --all-groups --all-extras --python 3.12 uv run --no-sync python -m prisma generate --schema litellm/proxy/schema.prisma - save_cache: key: ui-e2e-py-deps-v2-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} From 61fd4e985e77e7e1b1937149ccb9d94361506e1d Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Tue, 21 Apr 2026 23:31:01 -0700 Subject: [PATCH 091/165] =?UTF-8?q?[Infra]=20CCI=20config=20cleanup=20?= =?UTF-8?q?=E2=80=94=20dead=20step,=20filter=20dupe,=20cache=20keys,=20mac?= =?UTF-8?q?hine=20image?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Follow-up cleanup after an independent review pass surfaced a few loose ends: - Delete a 6x-duplicated filter block in litellm_mapped_tests_proxy_part2 (same kind of copy-paste residue we fixed earlier in langfuse_logging_unit_tests). - Delete the empty "Install Semgrep" run step in the semgrep job — the command body was empty because semgrep is installed on-demand via uv tool run in the next step. - Standardize machine-executor image: one job was on ubuntu-2204:2023.10.1 while build_docker_database_image was already on ubuntu-2204:2024.04.1. Bumped everything to 2024.04.1. - Remove the legacy "version: 2" inside the workflows: block — CircleCI 2.1 top-level already declares the version. - Drop `{{ checksum ".circleci/config.yml" }}` from cache keys (13 sites). It was busting the cache on every unrelated config edit; the uv.lock checksum alone is the right dependency cache key. - Add partial-restore fallbacks to every restore_cache with a single templated key (10 sites). Jobs now fall back to the latest cache with a matching prefix if the exact uv.lock hash isn't cached yet. Net: -14 lines. --- .circleci/config.yml | 74 +++++++++++++++++++++----------------------- 1 file changed, 35 insertions(+), 39 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index ff33ee2a640..0ea80be317f 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -114,7 +114,8 @@ commands: - setup_google_dns - restore_cache: keys: - - v3-litellm-uv-deps-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - v3-litellm-uv-deps-{{ checksum "uv.lock" }} + - v3-litellm-uv-deps- - install_uv - run: name: Install Dependencies @@ -126,7 +127,7 @@ commands: - ~/.local/lib - ~/.local/bin - ~/.cache/uv - key: v3-litellm-uv-deps-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + key: v3-litellm-uv-deps-{{ checksum "uv.lock" }} jobs: # Add Windows testing job @@ -175,9 +176,6 @@ jobs: - checkout - setup_google_dns - install_uv - - run: - name: Install Semgrep - command: | - run: name: Run Semgrep (custom rules only) command: | @@ -203,7 +201,8 @@ jobs: - restore_cache: keys: - - v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - v2-dependencies-{{ checksum "uv.lock" }} + - v2-dependencies- - install_uv - run: name: Install Dependencies @@ -213,7 +212,7 @@ jobs: - save_cache: paths: - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + key: v2-dependencies-{{ checksum "uv.lock" }} - run: name: Run prisma ./docker/entrypoint.sh command: | @@ -283,7 +282,8 @@ jobs: - restore_cache: keys: - - v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - v2-dependencies-{{ checksum "uv.lock" }} + - v2-dependencies- - install_uv - run: name: Install Dependencies @@ -293,7 +293,7 @@ jobs: - save_cache: paths: - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + key: v2-dependencies-{{ checksum "uv.lock" }} - run: name: Run prisma ./docker/entrypoint.sh command: | @@ -364,7 +364,8 @@ jobs: - restore_cache: keys: - - v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - v2-dependencies-{{ checksum "uv.lock" }} + - v2-dependencies- - install_uv - run: name: Install Dependencies @@ -374,7 +375,7 @@ jobs: - save_cache: paths: - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + key: v2-dependencies-{{ checksum "uv.lock" }} - run: name: Run prisma ./docker/entrypoint.sh command: | @@ -420,7 +421,7 @@ jobs: - save_cache: paths: - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + key: v2-dependencies-{{ checksum "uv.lock" }} - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -461,6 +462,7 @@ jobs: - restore_cache: keys: - v1-router-testing-deps-{{ checksum "uv.lock" }} + - v1-router-testing-deps- - install_uv - run: name: Install Dependencies @@ -510,6 +512,7 @@ jobs: - restore_cache: keys: - v1-router-unit-deps-{{ checksum "uv.lock" }} + - v1-router-unit-deps- - install_uv - run: name: Install Dependencies @@ -576,6 +579,7 @@ jobs: - restore_cache: keys: - v1-llm-translation-deps-{{ checksum "uv.lock" }} + - v1-llm-translation-deps- - install_uv - run: name: Install Dependencies @@ -817,6 +821,7 @@ jobs: - restore_cache: keys: - v1-llm-responses-deps-{{ checksum "uv.lock" }} + - v1-llm-responses-deps- - install_uv - run: name: Install Dependencies @@ -1216,7 +1221,8 @@ jobs: - setup_google_dns - restore_cache: keys: - - v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - v2-dependencies-{{ checksum "uv.lock" }} + - v2-dependencies- - install_uv - run: name: Install Dependencies @@ -1225,7 +1231,7 @@ jobs: - save_cache: paths: - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + key: v2-dependencies-{{ checksum "uv.lock" }} # Run pytest and generate JUnit XML report - run: name: Run tests @@ -1335,7 +1341,7 @@ jobs: uv run --no-sync python -m pytest -v tests/local_testing/test_basic_python_version.py -k "not v2_resolver" helm_chart_testing: machine: - image: ubuntu-2204:2023.10.1 # Use machine executor instead of docker + image: ubuntu-2204:2024.04.1 # Use machine executor instead of docker resource_class: medium working_directory: ~/project @@ -1461,7 +1467,7 @@ jobs: db_migration_disable_update_check: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: medium working_directory: ~/project steps: @@ -1542,7 +1548,7 @@ jobs: build_and_test: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -1618,7 +1624,7 @@ jobs: path: test-results e2e_openai_endpoints: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -1699,7 +1705,7 @@ jobs: path: test-results proxy_logging_guardrails_model_info_tests: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -1817,7 +1823,7 @@ jobs: path: test-results proxy_spend_accuracy_tests: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -1890,7 +1896,7 @@ jobs: proxy_multi_instance_tests: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -1981,7 +1987,7 @@ jobs: proxy_store_model_in_db_tests: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -2051,7 +2057,7 @@ jobs: proxy_build_from_pip_tests: # Change from docker to machine executor machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -2121,7 +2127,7 @@ jobs: when: always proxy_pass_through_endpoint_tests: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -2241,7 +2247,7 @@ jobs: proxy_e2e_anthropic_messages_tests: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: large working_directory: ~/project steps: @@ -2423,7 +2429,8 @@ jobs: - setup_google_dns - restore_cache: keys: - - ui-e2e-py-deps-v2-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + - ui-e2e-py-deps-v2-{{ checksum "uv.lock" }} + - ui-e2e-py-deps-v2- - install_uv - run: name: Install Python dependencies @@ -2431,7 +2438,7 @@ jobs: uv sync --frozen --all-groups --all-extras --python 3.12 uv run --no-sync python -m prisma generate --schema litellm/proxy/schema.prisma - save_cache: - key: ui-e2e-py-deps-v2-{{ checksum "uv.lock" }}-{{ checksum ".circleci/config.yml" }} + key: ui-e2e-py-deps-v2-{{ checksum "uv.lock" }} paths: - ./.venv - restore_cache: @@ -2548,7 +2555,7 @@ jobs: test_bad_database_url: machine: - image: ubuntu-2204:2023.10.1 + image: ubuntu-2204:2024.04.1 resource_class: medium working_directory: ~/project steps: @@ -2588,7 +2595,6 @@ jobs: fi workflows: - version: 2 build_and_test: jobs: - using_litellm_on_windows: @@ -2819,16 +2825,6 @@ workflows: only: - main - /litellm_.*/ - - main - - /litellm_.*/ - - main - - /litellm_.*/ - - main - - /litellm_.*/ - - main - - /litellm_.*/ - - main - - /litellm_.*/ - batches_testing: filters: branches: From 0bd49ecb8b497efd8f7ddfb56a07a48ac7c5a017 Mon Sep 17 00:00:00 2001 From: Michael Riad Zaky Date: Fri, 17 Apr 2026 16:58:26 -0700 Subject: [PATCH 092/165] Fix bug that bypasses per-team member budget limit --- litellm/proxy/auth/auth_checks.py | 82 +++++++- .../management_endpoints/team_endpoints.py | 30 ++- litellm/proxy/proxy_server.py | 100 +++++++-- .../proxy/auth/test_auth_checks.py | 189 ++++++++++++++++++ .../test_team_endpoints.py | 52 +++++ tests/test_litellm/proxy/test_proxy_server.py | 120 +++++++++++ 6 files changed, 545 insertions(+), 28 deletions(-) diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py index 2c8299e77a9..1c89b0bfc03 100644 --- a/litellm/proxy/auth/auth_checks.py +++ b/litellm/proxy/auth/auth_checks.py @@ -905,6 +905,63 @@ async def get_default_end_user_budget( return None +@log_db_metrics +async def get_team_member_default_budget( + budget_id: str, + prisma_client: Optional[PrismaClient], + user_api_key_cache: DualCache, +) -> Optional[LiteLLM_BudgetTable]: + """ + Fetches the team-level default per-member budget referenced by team.metadata["team_member_budget_id"]. + + This budget is applied to team members whose TeamMembership row has no + linked budget. Results are cached for performance. + + Args: + budget_id: The budget_id pulled from team.metadata["team_member_budget_id"] + prisma_client: Database client instance + user_api_key_cache: Cache for storing/retrieving budget data + + Returns: + LiteLLM_BudgetTable if found, None otherwise + """ + if prisma_client is None: + return None + + cache_key = f"team_member_default_budget:{budget_id}" + + cached_budget = await user_api_key_cache.async_get_cache(key=cache_key) + if isinstance(cached_budget, LiteLLM_BudgetTable): + return cached_budget + if isinstance(cached_budget, dict): + return LiteLLM_BudgetTable(**cached_budget) + + try: + budget_record = await prisma_client.db.litellm_budgettable.find_unique( + where={"budget_id": budget_id} + ) + + if budget_record is None: + verbose_proxy_logger.warning( + f"Team-default member budget not found in database: {budget_id}" + ) + return None + + await user_api_key_cache.async_set_cache( + key=cache_key, + value=budget_record.dict(), + ttl=DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL, + ) + + return LiteLLM_BudgetTable(**budget_record.dict()) + + except Exception: + verbose_proxy_logger.exception( + f"Error fetching team-default member budget {budget_id}" + ) + return None + + async def _apply_default_budget_to_end_user( end_user_obj: LiteLLM_EndUserTable, prisma_client: PrismaClient, @@ -3230,13 +3287,26 @@ async def _check_team_member_budget( proxy_logging_obj=proxy_logging_obj, ) - if ( - team_membership is not None - and team_membership.litellm_budget_table is not None - and team_membership.litellm_budget_table.max_budget is not None - ): + # Per-member override wins; otherwise fall back to the team-level + # default configured via team.metadata["team_member_budget_id"]. + team_member_budget: Optional[float] = None + if team_membership is not None and team_membership.litellm_budget_table is not None: team_member_budget = team_membership.litellm_budget_table.max_budget - team_member_spend = team_membership.spend or 0.0 + else: + default_budget_id = (team_object.metadata or {}).get("team_member_budget_id") + if isinstance(default_budget_id, str): + default_budget = await get_team_member_default_budget( + budget_id=default_budget_id, + prisma_client=prisma_client, + user_api_key_cache=user_api_key_cache, + ) + if default_budget is not None: + team_member_budget = default_budget.max_budget + + if team_member_budget is not None: + team_member_spend = ( + team_membership.spend if team_membership is not None else 0.0 + ) or 0.0 # Read from cross-pod counter (Redis-first) if available from litellm.proxy.proxy_server import get_current_spend diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index bf912fba4f8..8357b1c0fe2 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -302,14 +302,15 @@ class TeamMemberBudgetHandler: prisma_client: PrismaClient, ) -> None: """ - Create team_memberships entries for existing members that don't have one. + Ensure every team member has a TeamMembership row linked to the + team_member_budget. - Called after team_member_budget is set/updated on a team to ensure - members who joined before the budget was configured also get budget - enforcement. - - Only creates missing entries — does not touch existing memberships - (which may carry individual per-member budgets). + Called after team_member_budget is set/updated on a team. Creates + rows for members who don't have one, and populates budget_id on + existing rows where it is NULL. Rows with a non-NULL budget_id + are left untouched, which preserves per-member overrides but also + means rows pointing to a prior team-default budget_id are not + migrated to the new one. """ if not members_with_roles: return @@ -347,6 +348,21 @@ class TeamMemberBudgetHandler: _sanitize_for_log(team_member_budget_id), ) + # Heal existing membership rows that predate the team_member_budget + # configuration: populate budget_id where it is currently NULL. + # Rows with an explicit budget_id (per-member override) are left alone. + updated = await prisma_client.db.litellm_teammembership.update_many( + where={"team_id": team_id, "budget_id": None}, + data={"budget_id": team_member_budget_id}, + ) + if updated: + verbose_proxy_logger.info( + "Populated budget_id on %d existing team_memberships for team %s with budget %s", + updated, + _sanitize_for_log(team_id), + _sanitize_for_log(team_member_budget_id), + ) + def _get_default_team_param(field: str) -> Any: """ diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index aa8122d8fd9..546d8df14c9 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -1908,40 +1908,110 @@ async def increment_spend_counters( ) +async def _reseed_spend_from_db(counter_key: str) -> float: + """ + Read the authoritative spend for a missing counter from the DB. The + counter_key prefix encodes the table to query: + + spend:key:{token} -> LiteLLM_VerificationToken.spend + spend:team:{team_id} -> LiteLLM_TeamTable.spend + spend:team_member:{uid}:{tid} -> LiteLLM_TeamMembership.spend + spend:user:{user_id} -> LiteLLM_UserTable.spend + spend:org:{org_id} -> LiteLLM_OrganizationTable.spend + + Returns 0.0 if prisma is unavailable, the row is missing, or the + key format is unrecognized. On failure, logs and returns 0.0 rather + than raising so the caller can still record the current increment. + """ + if prisma_client is None: + return 0.0 + # Per-window counters (spend:*:window:{duration}) share prefixes with + # primary counters but don't correspond to a DB row; their ambiguity + # would otherwise be silently parsed as a regular counter and miss. + if ":window:" in counter_key: + return 0.0 + try: + if counter_key.startswith("spend:key:"): + token = counter_key[len("spend:key:") :] + row = await prisma_client.db.litellm_verificationtoken.find_unique( + where={"token": token} + ) + elif counter_key.startswith("spend:team_member:"): + suffix = counter_key[len("spend:team_member:") :] + if ":" not in suffix: + return 0.0 + user_id, team_id = suffix.rsplit(":", 1) + row = await prisma_client.db.litellm_teammembership.find_unique( + where={"user_id_team_id": {"user_id": user_id, "team_id": team_id}} + ) + elif counter_key.startswith("spend:team:"): + team_id = counter_key[len("spend:team:") :] + row = await prisma_client.db.litellm_teamtable.find_unique( + where={"team_id": team_id} + ) + elif counter_key.startswith("spend:user:"): + user_id = counter_key[len("spend:user:") :] + row = await prisma_client.db.litellm_usertable.find_unique( + where={"user_id": user_id} + ) + elif counter_key.startswith("spend:org:"): + org_id = counter_key[len("spend:org:") :] + row = await prisma_client.db.litellm_organizationtable.find_unique( + where={"organization_id": org_id} + ) + else: + return 0.0 + except Exception: + verbose_proxy_logger.exception( + "Failed to reseed spend counter %s from DB", counter_key + ) + return 0.0 + if row is None: + return 0.0 + return float(getattr(row, "spend", 0.0) or 0.0) + + async def _init_and_increment_spend_counter( counter_key: str, source_cache_key: str, increment: float, ): """ - Initialize counter from cached object's DB-loaded spend if not yet set, - then atomically increment in both in-memory and Redis. + Initialize counter from the authoritative DB spend value if not yet + set, then atomically increment in both in-memory and Redis. On first access per pod: - 1. Check spend_counter_cache (in-memory -> Redis via DualCache for init check) - 2. If not found anywhere, read base spend from user_api_key_cache (DB-loaded object) + 1. Check spend_counter_cache (in-memory -> Redis via DualCache) + 2. If not found, reseed from the DB (`_reseed_spend_from_db`). Falls + back to the cached object's `.spend` via user_api_key_cache only + if prisma is unavailable, since that value can lag the flusher. 3. Seed counter via async_increment_cache (not async_set_cache) to avoid a check-then-set race: if two pods cold-start simultaneously, both may see - the counter as absent and seed it. Using increment instead of set means - the worst case is over-counting (conservative — blocks slightly early) - rather than under-counting (would allow overspend). + the counter as absent and seed it. Using increment means the worst case + is over-counting (conservative, blocks slightly early) rather than + under-counting (would allow overspend). 4. Increment atomically (both in-memory + Redis) """ current = await spend_counter_cache.async_get_cache(key=counter_key) if current is None: - source = await user_api_key_cache.async_get_cache(key=source_cache_key) - base_spend = 0.0 - if source is not None: - if isinstance(source, dict): - base_spend = source.get("spend", 0.0) or 0.0 - else: - base_spend = getattr(source, "spend", 0.0) or 0.0 + base_spend = await _reseed_spend_from_db(counter_key) + if prisma_client is None: + # Best-effort fallback when prisma is unavailable (tests or + # early-startup paths). May be stale but avoids resetting to 0. + source = await user_api_key_cache.async_get_cache(key=source_cache_key) + if source is not None: + if isinstance(source, dict): + base_spend = source.get("spend", 0.0) or 0.0 + else: + base_spend = getattr(source, "spend", 0.0) or 0.0 if base_spend > 0: await spend_counter_cache.async_increment_cache( key=counter_key, value=base_spend ) - await spend_counter_cache.async_increment_cache(key=counter_key, value=increment) + await spend_counter_cache.async_increment_cache( + key=counter_key, value=increment + ) async def update_cache( # noqa: PLR0915 diff --git a/tests/test_litellm/proxy/auth/test_auth_checks.py b/tests/test_litellm/proxy/auth/test_auth_checks.py index 19fffffc65b..8612d243c41 100644 --- a/tests/test_litellm/proxy/auth/test_auth_checks.py +++ b/tests/test_litellm/proxy/auth/test_auth_checks.py @@ -2126,3 +2126,192 @@ class TestGuardrailModificationCheck: """Unparseable strings should not trigger a 403 — they have no keys.""" self._call({"metadata": "not-json"}) self._call({"metadata": '"just a string"'}) + + +@pytest.mark.asyncio +async def test_team_member_budget_check_falls_back_to_team_default_budget_id(): + """When a member's TeamMembership has no linked budget row, the check + should fall back to team.metadata["team_member_budget_id"] and still + enforce the cap. Pre-fix, this path silently skipped enforcement.""" + from litellm.caching.dual_cache import DualCache + from litellm.proxy._types import LiteLLM_TeamMembership + from litellm.proxy.utils import ProxyLogging + + team_object = LiteLLM_TeamTable( + team_id="test-team", + metadata={"team_member_budget_id": "budget-default"}, + ) + user_object = LiteLLM_UserTable(user_id="test-user") + valid_token = UserAPIKeyAuth( + token="test-token", + user_id="test-user", + team_id="test-team", + ) + + # Membership row without an attached budget. + team_membership = LiteLLM_TeamMembership( + user_id="test-user", + team_id="test-team", + spend=0.0, + budget_id=None, + litellm_budget_table=None, + ) + + proxy_logging_obj = ProxyLogging(user_api_key_cache=None) + + fake_budget_row = MagicMock() + fake_budget_row.max_budget = 50.0 + fake_budget_row.dict = MagicMock( + return_value={"budget_id": "budget-default", "max_budget": 50.0} + ) + + prisma_client = MagicMock() + prisma_client.db.litellm_budgettable.find_unique = AsyncMock( + return_value=fake_budget_row + ) + + async def mock_get_current_spend(counter_key, fallback_spend): + if counter_key == "spend:team_member:test-user:test-team": + return 70.0 + return fallback_spend + + user_api_key_cache = DualCache() + + with ( + patch("litellm.proxy.proxy_server.get_current_spend", mock_get_current_spend), + patch( + "litellm.proxy.auth.auth_checks.get_team_membership", + new_callable=AsyncMock, + return_value=team_membership, + ), + ): + with pytest.raises(litellm.BudgetExceededError) as exc_info: + await _check_team_member_budget( + team_object=team_object, + user_object=user_object, + valid_token=valid_token, + prisma_client=prisma_client, + user_api_key_cache=user_api_key_cache, + proxy_logging_obj=proxy_logging_obj, + ) + assert exc_info.value.current_cost == 70.0 + assert exc_info.value.max_budget == 50.0 + + # First call did perform the fallback DB lookup. + prisma_client.db.litellm_budgettable.find_unique.assert_awaited_once() + + # Second call hits the cached budget row, no additional prisma read. + prisma_client.db.litellm_budgettable.find_unique.reset_mock() + with ( + patch("litellm.proxy.proxy_server.get_current_spend", mock_get_current_spend), + patch( + "litellm.proxy.auth.auth_checks.get_team_membership", + new_callable=AsyncMock, + return_value=team_membership, + ), + ): + with pytest.raises(litellm.BudgetExceededError) as second_exc_info: + await _check_team_member_budget( + team_object=team_object, + user_object=user_object, + valid_token=valid_token, + prisma_client=prisma_client, + user_api_key_cache=user_api_key_cache, + proxy_logging_obj=proxy_logging_obj, + ) + # The cached $50 cap is still being applied (not a coincidental skip) + assert second_exc_info.value.current_cost == 70.0 + assert second_exc_info.value.max_budget == 50.0 + prisma_client.db.litellm_budgettable.find_unique.assert_not_awaited() + + +@pytest.mark.asyncio +async def test_team_member_budget_check_per_member_override_wins_over_team_default(): + """If a member has a per-member budget AND the team carries a + team_member_budget_id default, the per-member value wins and the + fallback prisma lookup is never performed.""" + from litellm.caching.dual_cache import DualCache + from litellm.proxy._types import LiteLLM_BudgetTable, LiteLLM_TeamMembership + from litellm.proxy.utils import ProxyLogging + + team_object = LiteLLM_TeamTable( + team_id="test-team", + metadata={"team_member_budget_id": "budget-default"}, + ) + user_object = LiteLLM_UserTable(user_id="test-user") + valid_token = UserAPIKeyAuth( + token="test-token", + user_id="test-user", + team_id="test-team", + ) + + team_membership = LiteLLM_TeamMembership( + user_id="test-user", + team_id="test-team", + spend=0.0, + budget_id="budget-override", + litellm_budget_table=LiteLLM_BudgetTable(max_budget=200.0), + ) + + proxy_logging_obj = ProxyLogging(user_api_key_cache=None) + + # Team-default row resolves to $50. If the fallback fired (it must + # not here), spend $70 would exceed that $50 cap and raise. + fake_budget_row = MagicMock() + fake_budget_row.max_budget = 50.0 + + prisma_client = MagicMock() + prisma_client.db.litellm_budgettable.find_unique = AsyncMock( + return_value=fake_budget_row + ) + + mocked_spend = 70.0 + + async def mock_get_current_spend(counter_key, fallback_spend): + if counter_key == "spend:team_member:test-user:test-team": + return mocked_spend + return fallback_spend + + # 1. spend ($70) < per-member cap ($200) → no raise, no fallback lookup. + with ( + patch("litellm.proxy.proxy_server.get_current_spend", mock_get_current_spend), + patch( + "litellm.proxy.auth.auth_checks.get_team_membership", + new_callable=AsyncMock, + return_value=team_membership, + ), + ): + await _check_team_member_budget( + team_object=team_object, + user_object=user_object, + valid_token=valid_token, + prisma_client=prisma_client, + user_api_key_cache=DualCache(), + proxy_logging_obj=proxy_logging_obj, + ) + + prisma_client.db.litellm_budgettable.find_unique.assert_not_awaited() + + # 2. Now push spend above the per-member cap ($200). Must raise with + # max_budget=200 to prove the per-member cap is the value being + # enforced (not just that enforcement silently skipped). + mocked_spend = 250.0 + with ( + patch("litellm.proxy.proxy_server.get_current_spend", mock_get_current_spend), + patch( + "litellm.proxy.auth.auth_checks.get_team_membership", + new_callable=AsyncMock, + return_value=team_membership, + ), + ): + with pytest.raises(litellm.BudgetExceededError) as exc_info: + await _check_team_member_budget( + team_object=team_object, + user_object=user_object, + valid_token=valid_token, + prisma_client=prisma_client, + user_api_key_cache=DualCache(), + proxy_logging_obj=proxy_logging_obj, + ) + assert exc_info.value.current_cost == 250.0 + assert exc_info.value.max_budget == 200.0 diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py index 8da0ef19f81..65187fb52dc 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py @@ -1795,6 +1795,7 @@ async def test_backfill_team_member_budget_entries_creates_missing_memberships() return_value=[existing_membership] ) mock_prisma.db.litellm_teammembership.create_many = AsyncMock(return_value=None) + mock_prisma.db.litellm_teammembership.update_many = AsyncMock(return_value=0) # Test with Member instances members = [ @@ -1823,6 +1824,7 @@ async def test_backfill_team_member_budget_entries_creates_missing_memberships() # Also test with raw dicts (members_with_roles may be dicts when deserialized from DB) mock_prisma.db.litellm_teammembership.find_many.reset_mock() mock_prisma.db.litellm_teammembership.create_many.reset_mock() + mock_prisma.db.litellm_teammembership.update_many.reset_mock() members_as_dicts = [ {"user_id": "user-A", "role": "user"}, @@ -1868,6 +1870,7 @@ async def test_backfill_team_member_budget_entries_no_op_when_all_exist(): return_value=[existing_a, existing_b] ) mock_prisma.db.litellm_teammembership.create_many = AsyncMock(return_value=None) + mock_prisma.db.litellm_teammembership.update_many = AsyncMock(return_value=0) members = [ Member(user_id="user-A", role="user"), @@ -1884,6 +1887,55 @@ async def test_backfill_team_member_budget_entries_no_op_when_all_exist(): mock_prisma.db.litellm_teammembership.create_many.assert_not_awaited() +@pytest.mark.asyncio +async def test_backfill_team_member_budget_entries_populates_null_budget_id_on_existing_rows(): + """ + backfill_team_member_budget_entries should populate budget_id on + existing TeamMembership rows where it is currently NULL, so admins + can configure a team member budget after members have already joined + and have enforcement apply to those pre-existing members. + """ + from unittest.mock import AsyncMock, MagicMock + + from litellm.proxy._types import Member + from litellm.proxy.management_endpoints.team_endpoints import ( + TeamMemberBudgetHandler, + ) + + team_id = "team-abc" + budget_id = "budget-xyz" + + # Both members already have rows, so create_many must not fire; + # update_many must fire with the NULL-budget_id filter. + existing_a = MagicMock() + existing_a.user_id = "user-A" + existing_b = MagicMock() + existing_b.user_id = "user-B" + + mock_prisma = MagicMock() + mock_prisma.db.litellm_teammembership.find_many = AsyncMock( + return_value=[existing_a, existing_b] + ) + mock_prisma.db.litellm_teammembership.create_many = AsyncMock(return_value=None) + mock_prisma.db.litellm_teammembership.update_many = AsyncMock(return_value=2) + + await TeamMemberBudgetHandler.backfill_team_member_budget_entries( + team_id=team_id, + members_with_roles=[ + Member(user_id="user-A", role="user"), + Member(user_id="user-B", role="user"), + ], + team_member_budget_id=budget_id, + prisma_client=mock_prisma, + ) + + mock_prisma.db.litellm_teammembership.create_many.assert_not_awaited() + mock_prisma.db.litellm_teammembership.update_many.assert_awaited_once_with( + where={"team_id": team_id, "budget_id": None}, + data={"budget_id": budget_id}, + ) + + @pytest.mark.asyncio async def test_backfill_team_member_budget_entries_empty_members(): """ diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py index 79eba81dc40..efd1abbb383 100644 --- a/tests/test_litellm/proxy/test_proxy_server.py +++ b/tests/test_litellm/proxy/test_proxy_server.py @@ -4965,3 +4965,123 @@ async def test_increment_spend_counters_team_and_member(): finally: ps.user_api_key_cache = original_key_cache ps.spend_counter_cache = original_counter_cache + + +@pytest.mark.asyncio +async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss(): + """When the Redis counter is missing, the reseed path reads the + authoritative spend from the DB (not a stale cache), so the next + increment continues from the correct base value.""" + from litellm.caching.dual_cache import DualCache + + counter_cache = DualCache() + recorded_increments: list = [] + + async def record_increment(key, value, ttl=None, **kwargs): + recorded_increments.append({"key": key, "value": value, "ttl": ttl}) + return value + + fake_redis = AsyncMock() + fake_redis.async_increment = AsyncMock(side_effect=record_increment) + fake_redis.async_get_cache = AsyncMock(return_value=None) # counter missing + counter_cache.redis_cache = fake_redis + + # Prisma returns spend=42.0 (authoritative) while the stale cached + # value (would be read only if prisma is None) is 10.0. The counter + # must seed from 42, not 10. + db_row = MagicMock() + db_row.spend = 42.0 + fake_prisma = MagicMock() + fake_prisma.db.litellm_teamtable.find_unique = AsyncMock(return_value=db_row) + + stale_cache = DualCache() + stale_team = MagicMock() + stale_team.spend = 10.0 + stale_cache.in_memory_cache.set_cache(key="team_id:team-9", value=stale_team) + + import litellm.proxy.proxy_server as ps + from litellm.proxy.proxy_server import _init_and_increment_spend_counter + + orig_user, orig_counter, orig_prisma = ( + ps.user_api_key_cache, + ps.spend_counter_cache, + ps.prisma_client, + ) + ps.user_api_key_cache = stale_cache + ps.spend_counter_cache = counter_cache + ps.prisma_client = fake_prisma + try: + await _init_and_increment_spend_counter( + counter_key="spend:team:team-9", + source_cache_key="team_id:team-9", + increment=1.5, + ) + + fake_prisma.db.litellm_teamtable.find_unique.assert_awaited_once_with( + where={"team_id": "team-9"} + ) + # Two increments keyed on the counter: seed ($42) then request ($1.50). + writes = [(c["key"], c["value"]) for c in recorded_increments] + assert ("spend:team:team-9", 42.0) in writes + assert ("spend:team:team-9", 1.5) in writes + finally: + ps.user_api_key_cache = orig_user + ps.spend_counter_cache = orig_counter + ps.prisma_client = orig_prisma + + +@pytest.mark.asyncio +async def test_reseed_spend_from_db_user_and_org_prefixes(): + """User and org counters must reseed from their own DB tables, not + fall through to 0.0 like the other counters do today.""" + import litellm.proxy.proxy_server as ps + from litellm.proxy.proxy_server import _reseed_spend_from_db + + user_row = MagicMock() + user_row.spend = 17.0 + org_row = MagicMock() + org_row.spend = 305.0 + + fake_prisma = MagicMock() + fake_prisma.db.litellm_usertable.find_unique = AsyncMock(return_value=user_row) + fake_prisma.db.litellm_organizationtable.find_unique = AsyncMock( + return_value=org_row + ) + + orig_prisma = ps.prisma_client + ps.prisma_client = fake_prisma + try: + assert await _reseed_spend_from_db("spend:user:alice") == 17.0 + fake_prisma.db.litellm_usertable.find_unique.assert_awaited_once_with( + where={"user_id": "alice"} + ) + + assert await _reseed_spend_from_db("spend:org:acme") == 305.0 + fake_prisma.db.litellm_organizationtable.find_unique.assert_awaited_once_with( + where={"organization_id": "acme"} + ) + finally: + ps.prisma_client = orig_prisma + + +@pytest.mark.asyncio +async def test_reseed_spend_from_db_skips_window_variant_keys(): + """Window counters (spend:*:window:{duration}) share prefixes with + primary counters but don't correspond to a DB row. The guard must + short-circuit without querying the DB.""" + import litellm.proxy.proxy_server as ps + from litellm.proxy.proxy_server import _reseed_spend_from_db + + fake_prisma = MagicMock() + fake_prisma.db.litellm_verificationtoken.find_unique = AsyncMock() + fake_prisma.db.litellm_teamtable.find_unique = AsyncMock() + + orig_prisma = ps.prisma_client + ps.prisma_client = fake_prisma + try: + assert await _reseed_spend_from_db("spend:key:sk-abc:window:1h") == 0.0 + assert await _reseed_spend_from_db("spend:team:team-1:window:1d") == 0.0 + fake_prisma.db.litellm_verificationtoken.find_unique.assert_not_awaited() + fake_prisma.db.litellm_teamtable.find_unique.assert_not_awaited() + finally: + ps.prisma_client = orig_prisma From 051d49f2fbd239ea78113613b99ac95db2a342a7 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 12:38:25 -0700 Subject: [PATCH 093/165] fix: extend request body parameter restrictions to cloud provider auth fields --- litellm/proxy/auth/auth_utils.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/auth/auth_utils.py b/litellm/proxy/auth/auth_utils.py index 18aea48e96b..448c975d123 100644 --- a/litellm/proxy/auth/auth_utils.py +++ b/litellm/proxy/auth/auth_utils.py @@ -151,7 +151,15 @@ def is_request_body_safe( A malicious user can set the api_base to their own domain and invoke POST /chat/completions to intercept and steal the OpenAI API key. Relevant issue: https://huntr.com/bounties/4001e1a2-7b7a-4776-a3ae-e6692ec3d997 """ - banned_params = ["api_base", "base_url", "user_config"] + banned_params = [ + "api_base", + "base_url", + "user_config", + "aws_sts_endpoint", + "aws_web_identity_token", + "aws_role_name", + "vertex_credentials", + ] for param in banned_params: if ( From ec735074a28502e9235773dfb3c835857233c601 Mon Sep 17 00:00:00 2001 From: Milan Date: Wed, 22 Apr 2026 23:00:32 +0300 Subject: [PATCH 094/165] fix(proxy): reapply Bedrock guardrail spend logging (#25854) Restore guardrail spend/UI event_type wiring, request_data on streaming OUTPUT paths, and centralized match redaction after the upstream revert. Made-with: Cursor --- litellm/integrations/custom_guardrail.py | 12 + litellm/litellm_core_utils/core_helpers.py | 36 +++ .../guardrail_hooks/bedrock_guardrails.py | 140 +++++---- litellm/proxy/utils.py | 12 +- .../integrations/test_custom_guardrail.py | 47 +++ .../litellm_core_utils/test_core_helpers.py | 35 +++ .../test_bedrock_guardrails.py | 273 +++++++++++++++++- 7 files changed, 486 insertions(+), 69 deletions(-) diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py index abf010e0d65..b1bf3483a9c 100644 --- a/litellm/integrations/custom_guardrail.py +++ b/litellm/integrations/custom_guardrail.py @@ -2,6 +2,7 @@ from datetime import datetime from typing import ( TYPE_CHECKING, Any, + ClassVar, Dict, List, Literal, @@ -12,6 +13,7 @@ from typing import ( ) from litellm._logging import verbose_logger +from litellm.litellm_core_utils.core_helpers import redact_nested_match_and_regex_keys from litellm.caching import DualCache from litellm.integrations.custom_logger import CustomLogger from litellm.types.guardrails import ( @@ -81,6 +83,9 @@ class ModifyResponseException(Exception): class CustomGuardrail(CustomLogger): + # If True, during_call runs async_moderation_hook instead of the unified apply_guardrail path. + use_native_during_call_hook: ClassVar[bool] = False + def __init__( self, guardrail_name: Optional[str] = None, @@ -637,6 +642,13 @@ class CustomGuardrail(CustomLogger): if isinstance(item, dict): item.pop("secret_fields", None) + # Default-safe behavior: never persist raw matched spans in standard + # guardrail logging payloads (single shared implementation; Bedrock hooks pass + # raw provider JSON so redaction is not duplicated upstream). + clean_guardrail_response = redact_nested_match_and_regex_keys( + clean_guardrail_response + ) + slg = StandardLoggingGuardrailInformation( guardrail_name=self.guardrail_name, guardrail_provider=guardrail_provider, diff --git a/litellm/litellm_core_utils/core_helpers.py b/litellm/litellm_core_utils/core_helpers.py index 22006be21af..07239a68869 100644 --- a/litellm/litellm_core_utils/core_helpers.py +++ b/litellm/litellm_core_utils/core_helpers.py @@ -1,5 +1,6 @@ # What is this? ## Helper utilities +import copy from typing import TYPE_CHECKING, Any, Iterable, List, Literal, Optional, Union import httpx @@ -435,3 +436,38 @@ def filter_internal_params( # Filter out internal parameters return {k: v for k, v in data.items() if k not in internal_params} + + +def redact_nested_match_and_regex_keys( + payload: Union[dict, List[Any], str, None], +) -> Union[dict, List[Any], str, None]: + """ + Deep-copy `payload` and replace every `match` / `regex` string field with + "[REDACTED]" anywhere in nested dict/list structures. + + Used for guardrail spend/compliance logging so raw spans are not persisted. + """ + if payload is None or isinstance(payload, str): + return payload + try: + redacted: Union[dict, List[Any], str, None] = copy.deepcopy(payload) + except Exception: + return payload + + def _walk(node: Any) -> None: + if isinstance(node, dict): + if "match" in node: + node["match"] = "[REDACTED]" + if "regex" in node: + node["regex"] = "[REDACTED]" + for value in node.values(): + _walk(value) + elif isinstance(node, list): + for item in node: + _walk(item) + + try: + _walk(redacted) + except Exception: + return payload + return redacted diff --git a/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py b/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py index 77b2f466f2a..8bfe5027b77 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py +++ b/litellm/proxy/guardrails/guardrail_hooks/bedrock_guardrails.py @@ -5,7 +5,6 @@ # +-------------------------------------------------------------+ # Thank you users! We ❤️ you! - Krrish & Ishaan -import copy import os import sys @@ -18,6 +17,7 @@ from typing import ( TYPE_CHECKING, Any, AsyncGenerator, + ClassVar, Dict, List, Literal, @@ -33,6 +33,7 @@ from fastapi import HTTPException import litellm from litellm._logging import verbose_proxy_logger +from litellm.litellm_core_utils.core_helpers import redact_nested_match_and_regex_keys from litellm.caching import DualCache from litellm.exceptions import GuardrailInterventionNormalStringError from litellm.integrations.custom_guardrail import CustomGuardrail @@ -79,56 +80,33 @@ class GuardrailMessageFilterResult(NamedTuple): def _redact_pii_matches(response_json: dict) -> dict: - try: - # Create a deep copy to avoid modifying the original response - redacted_response = copy.deepcopy(response_json) + """ + Redact match-like fields from a Bedrock ApplyGuardrail JSON payload. - # Get assessments from the response - # NOTE: We use `.get("key") or []` instead of `.get("key", [])` because - # the Bedrock API can return explicit `null` for list fields (e.g. "regexes": null). - # In Python, dict.get("key", []) returns None (not []) when the key exists - # with a None/null value. The `or []` ensures we always get an iterable, - # preventing "TypeError: 'NoneType' object is not iterable". - assessments = redacted_response.get("assessments") or [] - if not assessments: - return redacted_response + Delegates to :func:`redact_nested_match_and_regex_keys` (same rules as spend + logging). Kept as a Bedrock-module entry point for existing unit tests. + """ + redacted = redact_nested_match_and_regex_keys(response_json) + return redacted if isinstance(redacted, dict) else response_json - for assessment in assessments: - # Redact PII entities in sensitive information policy - sensitive_info_policy = assessment.get("sensitiveInformationPolicy") - if sensitive_info_policy: - pii_entities = sensitive_info_policy.get("piiEntities") or [] - for pii_entity in pii_entities: - if "match" in pii_entity: - pii_entity["match"] = "[REDACTED]" - # Redact regex matches - regexes = sensitive_info_policy.get("regexes") or [] - for regex_match in regexes: - if "match" in regex_match: - regex_match["match"] = "[REDACTED]" +def _redact_assessment_match_fields(assessments: List[dict]) -> List[dict]: + """ + Redact sensitive match-like fields from blocked assessment summaries. - # Redact custom word matches in word policy - word_policy = assessment.get("wordPolicy") - if word_policy: - custom_words = word_policy.get("customWords") or [] - for custom_word in custom_words: - if "match" in custom_word: - custom_word["match"] = "[REDACTED]" - - managed_words = word_policy.get("managedWordLists") or [] - for managed_word in managed_words: - if "match" in managed_word: - managed_word["match"] = "[REDACTED]" - - return redacted_response - except Exception as e: - # We do not want to fail in any case so this is just a warning - verbose_proxy_logger.warning("Guardrail log redaction failed: %s", str(e)) - return response_json + This is used for customer-visible error payloads (HTTPException.detail) where + we want to preserve policy/type/action metadata without echoing raw matched + content. + """ + redacted = redact_nested_match_and_regex_keys(assessments) + return redacted if isinstance(redacted, list) else assessments class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): + # During-call must use async_moderation_hook (not unified apply_guardrail), otherwise + # OpenAI translation always passes input_type="request" and spend/UI show PRE-CALL. + use_native_during_call_hook: ClassVar[bool] = True + def __init__( self, guardrailIdentifier: Optional[str] = None, @@ -419,6 +397,7 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): messages: Optional[List[AllMessageValues]] = None, response: Optional[Union[Any, litellm.ModelResponse]] = None, request_data: Optional[dict] = None, + logging_event_type: Optional[GuardrailEventHooks] = None, ) -> BedrockGuardrailResponse: from datetime import datetime @@ -456,11 +435,17 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): prepared_request.headers, ) - event_type = ( - GuardrailEventHooks.pre_call - if source == "INPUT" - else GuardrailEventHooks.post_call - ) + # UI / spend logs use event_type. Bedrock's `source` is INPUT vs OUTPUT for the API + # body, which must not be confused with the proxy hook (pre_call / during_call / + # post_call). When omitted, keep legacy mapping for backward compatibility. + if logging_event_type is not None: + event_type = logging_event_type + else: + event_type = ( + GuardrailEventHooks.pre_call + if source == "INPUT" + else GuardrailEventHooks.post_call + ) try: httpx_response = await self.async_handler.post( @@ -515,9 +500,12 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): ######################################################### # Add guardrail information to request trace ######################################################### + _json_response = httpx_response.json() + # Raw Bedrock JSON is passed here; match/regex redaction runs once inside + # CustomGuardrail.add_standard_logging_guardrail_information_to_request_data. self.add_standard_logging_guardrail_information_to_request_data( guardrail_provider=self.guardrail_provider, - guardrail_json_response=httpx_response.json(), + guardrail_json_response=_json_response, request_data=request_data or {}, guardrail_status=self._get_bedrock_guardrail_response_status( response=httpx_response @@ -530,9 +518,10 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): ######################################################### if httpx_response.status_code == 200: # check if the response was flagged - _json_response = httpx_response.json() - redacted_response = _redact_pii_matches(_json_response) - verbose_proxy_logger.debug("Bedrock AI response : %s", redacted_response) + verbose_proxy_logger.debug( + "Bedrock AI response : %s", + redact_nested_match_and_regex_keys(_json_response), + ) bedrock_guardrail_response = BedrockGuardrailResponse(**_json_response) if self._should_raise_guardrail_blocked_exception( bedrock_guardrail_response @@ -809,7 +798,7 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): assessments = self._extract_blocked_assessments(response) if assessments: - detail["assessments"] = assessments + detail["assessments"] = _redact_assessment_match_fields(assessments) return HTTPException(status_code=400, detail=detail) @@ -831,8 +820,8 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): return False # Check assessments to determine if any actions were BLOCKED (vs ANONYMIZED) - # NOTE: Use `or []` instead of default param to handle explicit null from Bedrock API. - # See _redact_pii_matches() for detailed explanation of the null safety pattern. + # NOTE: Use `.get("k") or []` not `.get("k", [])` — Bedrock can return explicit + # JSON null; dict.get("k", []) then yields None, and `for x in None` raises. assessments = response.get("assessments") or [] if not assessments: return False @@ -952,7 +941,10 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): ) try: bedrock_guardrail_response = await self.make_bedrock_api_request( - source="INPUT", messages=filtered_messages, request_data=data + source="INPUT", + messages=filtered_messages, + request_data=data, + logging_event_type=GuardrailEventHooks.pre_call, ) except GuardrailInterventionNormalStringError as e: bedrock_guardrail_response = e.message @@ -1024,7 +1016,10 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): ) try: bedrock_guardrail_response = await self.make_bedrock_api_request( - source="INPUT", messages=filtered_messages, request_data=data + source="INPUT", + messages=filtered_messages, + request_data=data, + logging_event_type=GuardrailEventHooks.during_call, ) except GuardrailInterventionNormalStringError as e: bedrock_guardrail_response = e.message @@ -1128,9 +1123,13 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): source="INPUT", messages=input_messages, request_data=data, + logging_event_type=GuardrailEventHooks.post_call, ) output_task = self.make_bedrock_api_request( - source="OUTPUT", response=response, request_data=data + source="OUTPUT", + response=response, + request_data=data, + logging_event_type=GuardrailEventHooks.post_call, ) # Execute both requests in parallel @@ -1144,7 +1143,10 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): # Only run OUTPUT validation (INPUT was already validated in pre_call or during_call) try: output_content_bedrock = await self.make_bedrock_api_request( - source="OUTPUT", response=response, request_data=data + source="OUTPUT", + response=response, + request_data=data, + logging_event_type=GuardrailEventHooks.post_call, ) except GuardrailInterventionNormalStringError as e: output_content_bedrock = e.message @@ -1271,9 +1273,13 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): source="INPUT", messages=input_messages, request_data=request_data, + logging_event_type=GuardrailEventHooks.post_call, ) # Only input messages output_task = self.make_bedrock_api_request( - source="OUTPUT", response=assembled_model_response + source="OUTPUT", + response=assembled_model_response, + request_data=request_data, + logging_event_type=GuardrailEventHooks.post_call, ) # Only response # Execute both requests in parallel @@ -1287,7 +1293,10 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): # Only run OUTPUT validation (INPUT was already validated in pre_call or during_call) try: output_guardrail_response = await self.make_bedrock_api_request( - source="OUTPUT", response=assembled_model_response + source="OUTPUT", + response=assembled_model_response, + request_data=request_data, + logging_event_type=GuardrailEventHooks.post_call, ) except GuardrailInterventionNormalStringError as e: output_guardrail_response = e.message @@ -1564,6 +1573,11 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): # Bedrock will throw an error if there is no text to process if filtered_messages: + _log_hook = ( + GuardrailEventHooks.pre_call + if input_type == "request" + else GuardrailEventHooks.post_call + ) # Map the abstract input_type to the Bedrock source parameter. # "request" -> INPUT (scan user-supplied content) # "response" -> OUTPUT (scan model-generated content) @@ -1594,12 +1608,14 @@ class BedrockGuardrail(CustomGuardrail, BaseAWSLLM): source="OUTPUT", response=synthetic_response, request_data=request_data, + logging_event_type=_log_hook, ) else: bedrock_response = await self.make_bedrock_api_request( source="INPUT", messages=filtered_messages, request_data=request_data, + logging_event_type=_log_hook, ) # Apply any masking that was applied by the guardrail diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index f21a729f551..561f8e5c553 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -940,7 +940,11 @@ class ProxyLogging: Result from the guardrail execution """ # Use unified_guardrail if callback has apply_guardrail method - use_unified = "apply_guardrail" in type(callback).__dict__ + has_apply_guardrail = "apply_guardrail" in type(callback).__dict__ + use_unified = has_apply_guardrail and not ( + hook_type == "during_call" + and getattr(callback, "use_native_during_call_hook", False) + ) if use_unified: data["guardrail_to_apply"] = callback @@ -1537,10 +1541,12 @@ class ProxyLogging: else: user_api_key_auth_dict = user_api_key_dict # Add task to list for parallel execution - if ( + use_unified_during = ( "apply_guardrail" in type(callback).__dict__ and user_api_key_dict is not None - ): + and not getattr(callback, "use_native_during_call_hook", False) + ) + if use_unified_during: data["guardrail_to_apply"] = callback guardrail_task = self._run_guardrail_task_with_enrichment( callback, diff --git a/tests/test_litellm/integrations/test_custom_guardrail.py b/tests/test_litellm/integrations/test_custom_guardrail.py index 0c904e9df50..d09c4ac2c38 100644 --- a/tests/test_litellm/integrations/test_custom_guardrail.py +++ b/tests/test_litellm/integrations/test_custom_guardrail.py @@ -1055,3 +1055,50 @@ class TestTracingFieldsPopulation: assert slg["classification"] == classification assert slg["detection_method"] == "llm-judge" assert slg["confidence_score"] == 0.94 + + +class TestCustomGuardrailSpendLogMatchRedaction: + """Guardrail JSON persisted via standard_logging must not contain raw match spans.""" + + def test_add_standard_logging_redacts_nested_match(self): + cg = CustomGuardrail(guardrail_name="test-rail") + raw = { + "assessments": [ + { + "sensitiveInformationPolicy": { + "piiEntities": [ + {"type": "NAME", "match": "GG", "action": "BLOCKED"} + ] + } + } + ] + } + request_data: dict = {"metadata": {}} + cg.add_standard_logging_guardrail_information_to_request_data( + guardrail_json_response=raw, + request_data=request_data, + guardrail_status="guardrail_intervened", + ) + slg = request_data["metadata"]["standard_logging_guardrail_information"][0] + assert ( + slg["guardrail_response"]["assessments"][0]["sensitiveInformationPolicy"][ + "piiEntities" + ][0]["match"] + == "[REDACTED]" + ) + assert raw["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0][ + "match" + ] == "GG" + + def test_add_standard_logging_redacts_regex_field(self): + cg = CustomGuardrail(guardrail_name="test-rail") + raw = {"filters": [{"regex": r"\d{3}-\d{2}-\d{4}", "action": "BLOCKED"}]} + request_data: dict = {"metadata": {}} + cg.add_standard_logging_guardrail_information_to_request_data( + guardrail_json_response=raw, + request_data=request_data, + guardrail_status="success", + ) + slg = request_data["metadata"]["standard_logging_guardrail_information"][0] + assert slg["guardrail_response"]["filters"][0]["regex"] == "[REDACTED]" + assert raw["filters"][0]["regex"] == r"\d{3}-\d{2}-\d{4}" diff --git a/tests/test_litellm/litellm_core_utils/test_core_helpers.py b/tests/test_litellm/litellm_core_utils/test_core_helpers.py index 6f95a8b6038..aa5ce5fa6a4 100644 --- a/tests/test_litellm/litellm_core_utils/test_core_helpers.py +++ b/tests/test_litellm/litellm_core_utils/test_core_helpers.py @@ -6,6 +6,7 @@ from litellm.litellm_core_utils.core_helpers import ( _FINISH_REASON_MAP, map_finish_reason, reconstruct_model_name, + redact_nested_match_and_regex_keys, ) @@ -158,3 +159,37 @@ class TestFinishReasonMapOutputsAreValid: f"Mapped value '{openai_reason}' (from '{provider_reason}') " f"is not a valid OpenAI finish reason" ) + + +class TestRedactNestedMatchAndRegexKeys: + def test_redacts_match_and_regex_recursively(self): + payload = { + "assessments": [ + { + "sensitiveInformationPolicy": { + "piiEntities": [ + {"type": "NAME", "match": "secret-name", "action": "BLOCKED"} + ] + }, + "wordPolicy": { + "customWords": [{"match": "badword", "action": "BLOCKED"}] + }, + } + ], + "regex": "should-redact-key-named-regex", + } + out = redact_nested_match_and_regex_keys(payload) + assert out["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0][ + "match" + ] == "[REDACTED]" + assert out["assessments"][0]["wordPolicy"]["customWords"][0]["match"] == ( + "[REDACTED]" + ) + assert out["regex"] == "[REDACTED]" + assert payload["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][ + 0 + ]["match"] == "secret-name" + + def test_passes_through_none_and_str(self): + assert redact_nested_match_and_regex_keys(None) is None + assert redact_nested_match_and_regex_keys("plain") == "plain" diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py index 7d454eb6fe8..fef984d7044 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_bedrock_guardrails.py @@ -12,11 +12,15 @@ from fastapi import HTTPException sys.path.insert(0, os.path.abspath("../../../../../..")) +import litellm +from litellm.caching.caching import DualCache from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails import ( BedrockGuardrail, _redact_pii_matches, ) +from litellm.proxy.utils import ProxyLogging +from litellm.types.guardrails import GuardrailEventHooks from litellm.types.utils import ModelResponse @@ -106,10 +110,12 @@ async def test__redact_pii_matches_malformed_response(): # Test with completely malformed response malformed_response = { "action": "GUARDRAIL_INTERVENED", - "assessments": "not_a_list", # This should cause an exception + # Wrong type for assessments; redact_nested_match_and_regex_keys walks dict + # values and skips non-dict/list nodes, so this must not raise. + "assessments": "not_a_list", } - # Should not crash and return original response + # Should not crash (deep copy + walk skips the string value under assessments) redacted_response = _redact_pii_matches(malformed_response) assert redacted_response == malformed_response @@ -188,7 +194,7 @@ async def test__redact_pii_matches_multiple_assessments(): @pytest.mark.asyncio async def test_bedrock_guardrail_logging_uses_redacted_response(): - """Test that the Bedrock guardrail uses redacted response for logging""" + """Debug logs and standard_logging payloads must not include raw match values.""" # Create proper mock objects mock_user_api_key_dict = UserAPIKeyAuth() @@ -295,6 +301,14 @@ async def test_bedrock_guardrail_logging_uses_redacted_response(): == "PHONE" ) + slg_list = request_data["metadata"]["standard_logging_guardrail_information"] + assert ( + slg_list[0]["guardrail_response"]["assessments"][0][ + "sensitiveInformationPolicy" + ]["piiEntities"][0]["match"] + == "[REDACTED]" + ) + print("Bedrock guardrail logging redaction test passed") @@ -1751,6 +1765,124 @@ async def test_bedrock_guardrail_blocked_vs_anonymized_actions(): print("\u2705 BLOCKED vs ANONYMIZED actions test passed") +# --------------------------------------------------------------------------- +# Spend logs: guardrail_mode (pre/during/post) vs Bedrock INPUT/OUTPUT +# --------------------------------------------------------------------------- + + +def test_bedrock_guardrail_uses_native_during_call_hook(): + """during_call must use async_moderation_hook, not unified apply_guardrail(input=request).""" + assert BedrockGuardrail.use_native_during_call_hook is True + + +@pytest.mark.asyncio +async def test_make_bedrock_api_request_logging_event_type_for_spend_logs(): + """ + Spend/UI use event_type from the proxy hook, not Bedrock's INPUT/OUTPUT alone. + When logging_event_type is set, it must be forwarded to standard guardrail logging. + When omitted, INPUT maps to pre_call (legacy). + """ + guardrail = BedrockGuardrail( + guardrailIdentifier="test-guardrail", guardrailVersion="DRAFT" + ) + mock_credentials = MagicMock() + mock_credentials.access_key = "test-access-key" + mock_credentials.secret_key = "test-secret-key" + mock_credentials.token = None + + mock_bedrock_response = MagicMock() + mock_bedrock_response.status_code = 200 + mock_bedrock_response.json.return_value = { + "action": "NONE", + "assessments": [ + { + "sensitiveInformationPolicy": { + "piiEntities": [ + {"type": "NAME", "match": "GG", "action": "BLOCKED"} + ] + } + } + ], + } + + request_data = { + "model": "gpt-4o", + "messages": [{"role": "user", "content": "hi"}], + } + + with patch.object( + guardrail.async_handler, "post", new_callable=AsyncMock + ) as mock_post, patch.object( + guardrail, "_load_credentials", return_value=(mock_credentials, "us-east-1") + ), patch.object(guardrail, "_prepare_request", return_value=MagicMock()), patch.object( + guardrail, + "add_standard_logging_guardrail_information_to_request_data", + ) as mock_log: + mock_post.return_value = mock_bedrock_response + + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=request_data["messages"], + request_data=request_data, + logging_event_type=GuardrailEventHooks.during_call, + ) + assert mock_log.call_args.kwargs["event_type"] == GuardrailEventHooks.during_call + # Raw Bedrock JSON is forwarded; redaction runs once in + # CustomGuardrail.add_standard_logging_guardrail_information_to_request_data. + assert ( + mock_log.call_args.kwargs["guardrail_json_response"]["assessments"][0][ + "sensitiveInformationPolicy" + ]["piiEntities"][0]["match"] + == "GG" + ) + + mock_log.reset_mock() + + await guardrail.make_bedrock_api_request( + source="INPUT", + messages=request_data["messages"], + request_data=request_data, + ) + assert mock_log.call_args.kwargs["event_type"] == GuardrailEventHooks.pre_call + + +@pytest.mark.asyncio +async def test_during_call_hook_invokes_bedrock_async_moderation_hook(): + """ + Bedrock sets use_native_during_call_hook so ProxyLogging runs the real + async_moderation_hook (unified apply_guardrail would log INPUT as pre_call). + """ + cache = DualCache() + proxy_logging = ProxyLogging(user_api_key_cache=cache) + + guardrail = BedrockGuardrail( + guardrail_name="bedrock-during-test", + guardrailIdentifier="gid", + guardrailVersion="1", + event_hook=GuardrailEventHooks.during_call, + default_on=True, + ) + mock_mod = AsyncMock(return_value=None) + original_callbacks = litellm.callbacks.copy() if litellm.callbacks else [] + try: + litellm.callbacks = [guardrail] + with patch.object(guardrail, "async_moderation_hook", new=mock_mod): + await proxy_logging.during_call_hook( + data={ + "model": "gpt-4", + "messages": [{"role": "user", "content": "test"}], + }, + user_api_key_dict=UserAPIKeyAuth( + api_key="test_key", user_id="test_user" + ), + call_type="completion", + ) + finally: + litellm.callbacks = original_callbacks + + mock_mod.assert_awaited_once() + + # --------------------------------------------------------------------------- # L3: _extract_blocked_assessments + _get_http_exception_for_blocked_guardrail # Regression coverage for case 2026-04-10-internal-bedrock-guardrail-streaming-error. @@ -1766,7 +1898,7 @@ def _make_guardrail() -> BedrockGuardrail: def test_extract_blocked_assessments_pii_entity(): - """L3: PII entity match (BLOCKED) is surfaced with category, type, and matched term.""" + """L3: PII entity match (BLOCKED) is surfaced with category, type, and match.""" g = _make_guardrail() response = { "action": "GUARDRAIL_INTERVENED", @@ -1877,6 +2009,7 @@ def test_get_http_exception_includes_assessments_and_identifier(): assert exc.detail["guardrailVersion"] == "1" assert exc.detail["assessments"][0]["policy"] == "sensitiveInformationPolicy" assert exc.detail["assessments"][0]["matches"][0]["type"] == "NAME" + assert exc.detail["assessments"][0]["matches"][0]["match"] == "[REDACTED]" def test_get_http_exception_no_blocked_assessments_omits_field(): @@ -1899,3 +2032,135 @@ def test_get_http_exception_no_blocked_assessments_omits_field(): assert isinstance(exc, HTTPException) assert "assessments" not in exc.detail assert exc.detail["guardrailIdentifier"] == "amgllac6xf3r" + + +@pytest.mark.asyncio +async def test_streaming_post_call_parallel_output_passes_request_data_to_make_bedrock(): + """ + async_post_call_streaming_iterator_hook must pass request_data into OUTPUT + make_bedrock_api_request so spend/standard_logging attaches to the real request + (Greptile: previously OUTPUT used request_data=None / ephemeral {}). + """ + request_data = { + "model": "gpt-4o-mini", + "messages": [{"role": "user", "content": "hi"}], + "metadata": {"stream_guardrail_logging": True}, + } + guardrail = BedrockGuardrail( + guardrail_name="bedrock-stream-reqdata", + guardrailIdentifier="test-id", + guardrailVersion="DRAFT", + event_hook=GuardrailEventHooks.post_call, + default_on=True, + ) + mock_chunks = [ + litellm.ModelResponseStream( + id="tid", + choices=[ + litellm.types.utils.StreamingChoices( + delta=litellm.types.utils.Delta(content="Hi", role="assistant"), + finish_reason=None, + index=0, + ) + ], + created=1, + model="gpt-4o-mini", + object="chat.completion.chunk", + ), + litellm.ModelResponseStream( + id="tid", + choices=[ + litellm.types.utils.StreamingChoices( + delta=litellm.types.utils.Delta(content="!", role="assistant"), + finish_reason="stop", + index=0, + ) + ], + created=1, + model="gpt-4o-mini", + object="chat.completion.chunk", + ), + ] + + async def mock_stream(): + for c in mock_chunks: + yield c + + minimal = {"action": "NONE", "assessments": [], "outputs": []} + with patch.object( + guardrail, "make_bedrock_api_request", AsyncMock(return_value=minimal) + ) as mock_make: + out = [] + async for chunk in guardrail.async_post_call_streaming_iterator_hook( + user_api_key_dict=UserAPIKeyAuth(), + response=mock_stream(), + request_data=request_data, + ): + out.append(chunk) + + assert len(out) >= 1 + output_calls = [ + c for c in mock_make.call_args_list if c.kwargs.get("source") == "OUTPUT" + ] + assert len(output_calls) == 1 + assert output_calls[0].kwargs.get("request_data") is request_data + assert ( + output_calls[0].kwargs.get("logging_event_type") + == GuardrailEventHooks.post_call + ) + input_calls = [ + c for c in mock_make.call_args_list if c.kwargs.get("source") == "INPUT" + ] + assert len(input_calls) == 1 + assert input_calls[0].kwargs.get("request_data") is request_data + + +@pytest.mark.asyncio +async def test_streaming_post_call_output_only_path_passes_request_data_to_make_bedrock(): + """When INPUT validation is skipped (pre/during already ran), OUTPUT still gets request_data.""" + request_data = { + "model": "gpt-4o-mini", + "messages": [{"role": "user", "content": "hi"}], + } + guardrail = BedrockGuardrail( + guardrail_name="bedrock-stream-out-only", + guardrailIdentifier="test-id", + guardrailVersion="DRAFT", + event_hook=GuardrailEventHooks.during_call, + default_on=True, + ) + mock_chunks = [ + litellm.ModelResponseStream( + id="tid", + choices=[ + litellm.types.utils.StreamingChoices( + delta=litellm.types.utils.Delta(content="x", role="assistant"), + finish_reason="stop", + index=0, + ) + ], + created=1, + model="gpt-4o-mini", + object="chat.completion.chunk", + ), + ] + + async def mock_stream(): + for c in mock_chunks: + yield c + + minimal = {"action": "NONE", "assessments": [], "outputs": []} + with patch.object( + guardrail, "make_bedrock_api_request", AsyncMock(return_value=minimal) + ) as mock_make: + async for _ in guardrail.async_post_call_streaming_iterator_hook( + user_api_key_dict=UserAPIKeyAuth(), + response=mock_stream(), + request_data=request_data, + ): + pass + + assert mock_make.call_count == 1 + c = mock_make.call_args + assert c.kwargs.get("source") == "OUTPUT" + assert c.kwargs.get("request_data") is request_data From 9577d87158d7d3969a50e8daf0e1d1adbff6aab9 Mon Sep 17 00:00:00 2001 From: Milan Date: Wed, 22 Apr 2026 23:22:35 +0300 Subject: [PATCH 095/165] fix(proxy): guardrail header dedupe, mypy during_call, test mock kwargs - Dedupe names in add_guardrail_to_applied_guardrails_header (matches policies). - Inline unified during_call condition so mypy narrows UserAPIKeyAuth. - Extend bedrock guardrails test mock for logging_event_type. Made-with: Cursor --- litellm/proxy/common_utils/callback_utils.py | 3 ++- litellm/proxy/utils.py | 5 ++--- tests/guardrails_tests/test_bedrock_guardrails.py | 8 +++++++- 3 files changed, 11 insertions(+), 5 deletions(-) diff --git a/litellm/proxy/common_utils/callback_utils.py b/litellm/proxy/common_utils/callback_utils.py index e31c76dcac1..7ddd722a80e 100644 --- a/litellm/proxy/common_utils/callback_utils.py +++ b/litellm/proxy/common_utils/callback_utils.py @@ -433,7 +433,8 @@ def add_guardrail_to_applied_guardrails_header( return _metadata = request_data.get("metadata", None) or {} if "applied_guardrails" in _metadata: - _metadata["applied_guardrails"].append(guardrail_name) + if guardrail_name not in _metadata["applied_guardrails"]: + _metadata["applied_guardrails"].append(guardrail_name) else: _metadata["applied_guardrails"] = [guardrail_name] # Ensure metadata is set back to request_data (important when metadata didn't exist) diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 561f8e5c553..712853a33c4 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -1541,12 +1541,11 @@ class ProxyLogging: else: user_api_key_auth_dict = user_api_key_dict # Add task to list for parallel execution - use_unified_during = ( + if ( "apply_guardrail" in type(callback).__dict__ and user_api_key_dict is not None and not getattr(callback, "use_native_during_call_hook", False) - ) - if use_unified_during: + ): data["guardrail_to_apply"] = callback guardrail_task = self._run_guardrail_task_with_enrichment( callback, diff --git a/tests/guardrails_tests/test_bedrock_guardrails.py b/tests/guardrails_tests/test_bedrock_guardrails.py index 7eaac60bf2d..54357216208 100644 --- a/tests/guardrails_tests/test_bedrock_guardrails.py +++ b/tests/guardrails_tests/test_bedrock_guardrails.py @@ -1107,7 +1107,12 @@ async def test_convert_to_bedrock_format_post_call_streaming_hook(): # Mock the make_bedrock_api_request method to track calls async def mock_make_bedrock_api_request( - source, messages=None, response=None, request_data=None + source, + messages=None, + response=None, + request_data=None, + logging_event_type=None, + **kwargs, ): bedrock_calls.append( { @@ -1115,6 +1120,7 @@ async def test_convert_to_bedrock_format_post_call_streaming_hook(): "messages": messages, "response": response, "request_data": request_data, + "logging_event_type": logging_event_type, } ) # Return the mock bedrock response From 1b74c35b89ae3e537654ca67cdeeafe53e7bd449 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 12:11:48 -0700 Subject: [PATCH 096/165] [Infra] Move non-API-key CCI jobs to GitHub Actions MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Principle: GHA handles work that doesn't need external API keys; CCI stays for integration tests that hit real API endpoints. Four CCI jobs moved to new or extended GHA workflows: 1. check_code_and_doc_quality (was 25 runs: ruff + import-safety + 21 code_coverage_tests + 3 documentation_tests + circular-imports). - The 21 tests/code_coverage_tests/*.py scripts and the 3 tests/documentation_tests/*.py scripts run in the new .github/workflows/test-code-quality.yml workflow. - ruff, import-safety, and circular-imports were already run by .github/workflows/test-linting.yml — no new migration needed. - The 3 documentation_tests scripts read docs/my-website/docs/proxy/config_settings.md. Since docs have moved to BerriAI/litellm-docs, the GHA workflow checks out that repo and symlinks docs/my-website -> the checkout so the existing hardcoded paths resolve without touching the scripts. The stale local docs/my-website/ copy in this repo will be removed in a separate PR. 2. semgrep (custom-rule SAST against .semgrep/rules). - New .github/workflows/test-semgrep.yml. 3. installing_litellm_on_python + installing_litellm_on_python_3_13 (pip install compat checks on Python 3.12 and 3.13). - New .github/workflows/test-install-litellm.yml as a matrix job. - 3.12 run also verifies litellm_enterprise import; 3.13 run skips that check (matches previous CCI behavior). - installing_litellm_on_python_v2_migration_resolver stays in CCI because it requires a postgres service. CCI .circleci/config.yml: -112 lines, 4 jobs and their workflow refs removed. --- .circleci/config.yml | 124 +++++---------------- .github/workflows/test-code-quality.yml | 136 ++++++++++++++++++++++++ .github/workflows/test-semgrep.yml | 39 +++++++ 3 files changed, 199 insertions(+), 100 deletions(-) create mode 100644 .github/workflows/test-code-quality.yml create mode 100644 .github/workflows/test-semgrep.yml diff --git a/.circleci/config.yml b/.circleci/config.yml index 0ea80be317f..ba9d4520002 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -164,25 +164,6 @@ jobs: command: | uv run --no-sync python -m pytest tests/windows_tests/test_litellm_on_windows.py -v - semgrep: - docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} - working_directory: ~/project - resource_class: medium - steps: - - checkout - - setup_google_dns - - install_uv - - run: - name: Run Semgrep (custom rules only) - command: | - echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$BASH_ENV" - export PATH="$HOME/.local/bin:$PATH" - uv tool run --from 'semgrep==1.157.0' semgrep scan --config .semgrep/rules . --error - local_testing_part1: docker: - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c @@ -1283,6 +1264,30 @@ jobs: ls uv run --no-sync python -m pytest -vv tests/local_testing/test_basic_python_version.py -k "not v2_resolver" + installing_litellm_on_python_3_13: + docker: + - image: cimg/python:3.13.1@sha256:87b243ae80d154db75ce5e58af16c72c5dd4b1e23e5c7264a816e85e0c440c13 + auth: + username: ${DOCKERHUB_USERNAME} + password: ${DOCKERHUB_PASSWORD} + working_directory: ~/project + resource_class: medium + + steps: + - checkout + - setup_google_dns + - install_uv + - run: + name: Install Dependencies + command: | + uv sync --frozen --all-groups --all-extras --python 3.13 + - run: + name: Run tests + command: | + pwd + ls + uv run --no-sync python -m pytest -v tests/local_testing/test_basic_python_version.py -k "not v2_resolver" + installing_litellm_on_python_v2_migration_resolver: docker: - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c @@ -1316,29 +1321,6 @@ jobs: uv run --no-sync python -m pytest -vv \ tests/local_testing/test_basic_python_version.py::test_litellm_proxy_server_config_no_general_settings_v2_resolver - installing_litellm_on_python_3_13: - docker: - - image: cimg/python:3.13.1@sha256:87b243ae80d154db75ce5e58af16c72c5dd4b1e23e5c7264a816e85e0c440c13 - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} - working_directory: ~/project - resource_class: medium - - steps: - - checkout - - setup_google_dns - - install_uv - - run: - name: Install Dependencies - command: | - uv sync --frozen --all-groups --all-extras --python 3.13 - - run: - name: Run tests - command: | - pwd - ls - uv run --no-sync python -m pytest -v tests/local_testing/test_basic_python_version.py -k "not v2_resolver" helm_chart_testing: machine: image: ubuntu-2204:2024.04.1 # Use machine executor instead of docker @@ -1419,52 +1401,6 @@ jobs: kind delete cluster --name litellm-test when: always # This ensures cleanup runs even if previous steps fail - check_code_and_doc_quality: - docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} - working_directory: ~/project/litellm - - steps: - - checkout - - setup_google_dns - - install_uv - - run: - name: Install Dependencies - command: | - uv sync --frozen --all-groups --all-extras --python 3.12 - - run: uv run --no-sync python -c "from litellm import *" || (echo '🚨 import failed, this means you introduced unprotected imports! 🚨'; exit 1) - - run: uv run --no-sync ruff check ./litellm - # - run: python ./tests/documentation_tests/test_general_setting_keys.py - - run: uv run --no-sync python ./tests/code_coverage_tests/check_licenses.py - - run: uv run --no-sync python ./tests/code_coverage_tests/check_provider_folders_documented.py - - run: uv run --no-sync python ./tests/code_coverage_tests/router_code_coverage.py - - run: uv run --no-sync python ./tests/code_coverage_tests/test_chat_completion_imports.py - - run: uv run --no-sync python ./tests/code_coverage_tests/info_log_check.py - - run: uv run --no-sync python ./tests/code_coverage_tests/check_guardrail_apply_decorator.py - - run: uv run --no-sync python ./tests/code_coverage_tests/test_ban_set_verbose.py - - run: uv run --no-sync python ./tests/code_coverage_tests/code_qa_check_tests.py - - run: uv run --no-sync python ./tests/code_coverage_tests/check_get_model_cost_key_performance.py - - run: uv run --no-sync python ./tests/code_coverage_tests/test_proxy_types_import.py - - run: uv run --no-sync python ./tests/code_coverage_tests/callback_manager_test.py - - run: uv run --no-sync python ./tests/code_coverage_tests/recursive_detector.py - - run: uv run --no-sync python ./tests/code_coverage_tests/test_router_strategy_async.py - - run: uv run --no-sync python ./tests/code_coverage_tests/litellm_logging_code_coverage.py - - run: uv run --no-sync python ./tests/documentation_tests/test_env_keys.py - - run: uv run --no-sync python ./tests/documentation_tests/test_router_settings.py - - run: uv run --no-sync python ./tests/documentation_tests/test_api_docs.py - - run: uv run --no-sync python ./tests/code_coverage_tests/ensure_async_clients_test.py - - run: uv run --no-sync python ./tests/code_coverage_tests/enforce_llms_folder_style.py - - run: uv run --no-sync python ./tests/documentation_tests/test_circular_imports.py - - run: uv run --no-sync python ./tests/code_coverage_tests/prevent_key_leaks_in_exceptions.py - - run: uv run --no-sync python ./tests/code_coverage_tests/check_unsafe_enterprise_import.py - - run: uv run --no-sync python ./tests/code_coverage_tests/ban_copy_deepcopy_kwargs.py - - run: uv run --no-sync python ./tests/code_coverage_tests/check_fastuuid_usage.py - - run: uv run --no-sync python ./tests/code_coverage_tests/memory_test.py - # helm lint is handled by the dedicated helm_chart_testing job - db_migration_disable_update_check: machine: image: ubuntu-2204:2024.04.1 @@ -2603,12 +2539,6 @@ workflows: only: - main - /litellm_.*/ - - semgrep: - filters: - branches: - only: - - main - - /litellm_.*/ - local_testing_part1: filters: branches: @@ -2645,12 +2575,6 @@ workflows: only: - main - /litellm_.*/ - - check_code_and_doc_quality: - filters: - branches: - only: - - main - - /litellm_.*/ - ui_build: filters: branches: diff --git a/.github/workflows/test-code-quality.yml b/.github/workflows/test-code-quality.yml new file mode 100644 index 00000000000..da0cbcd9154 --- /dev/null +++ b/.github/workflows/test-code-quality.yml @@ -0,0 +1,136 @@ +name: Code Quality Checks + +on: + pull_request: + branches: + - main + - litellm_internal_staging + - litellm_oss_branch + - "litellm_**" + +permissions: + contents: read + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + cancel-in-progress: true + +jobs: + code-quality: + runs-on: ubuntu-latest + timeout-minutes: 15 + + steps: + - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + with: + persist-credentials: false + + - name: Checkout litellm-docs (for documentation_tests) + uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + with: + repository: BerriAI/litellm-docs + path: _litellm_docs_checkout + persist-credentials: false + + - name: Wire up docs path expected by documentation_tests/* + run: | + # documentation_tests scripts read from docs/my-website/docs/... + # In litellm-docs the same files live at docs/... (repo root). + # Point docs/my-website -> litellm-docs checkout so the paths resolve. + rm -rf docs/my-website + ln -s ../_litellm_docs_checkout docs/my-website + + - name: Set up Python + uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 + with: + python-version: "3.12" + + - name: Set up uv + uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7 + with: + version: "0.10.9" + + - name: Cache uv dependencies + uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0 + with: + path: | + ~/.cache/uv + .venv + key: ${{ runner.os }}-uv-${{ hashFiles('uv.lock') }} + restore-keys: | + ${{ runner.os }}-uv- + + - name: Install dependencies + run: uv sync --frozen --all-groups --all-extras + + - name: check_licenses + run: uv run --no-sync python ./tests/code_coverage_tests/check_licenses.py + + - name: check_provider_folders_documented + run: uv run --no-sync python ./tests/code_coverage_tests/check_provider_folders_documented.py + + - name: router_code_coverage + run: uv run --no-sync python ./tests/code_coverage_tests/router_code_coverage.py + + - name: test_chat_completion_imports + run: uv run --no-sync python ./tests/code_coverage_tests/test_chat_completion_imports.py + + - name: info_log_check + run: uv run --no-sync python ./tests/code_coverage_tests/info_log_check.py + + - name: check_guardrail_apply_decorator + run: uv run --no-sync python ./tests/code_coverage_tests/check_guardrail_apply_decorator.py + + - name: test_ban_set_verbose + run: uv run --no-sync python ./tests/code_coverage_tests/test_ban_set_verbose.py + + - name: code_qa_check_tests + run: uv run --no-sync python ./tests/code_coverage_tests/code_qa_check_tests.py + + - name: check_get_model_cost_key_performance + run: uv run --no-sync python ./tests/code_coverage_tests/check_get_model_cost_key_performance.py + + - name: test_proxy_types_import + run: uv run --no-sync python ./tests/code_coverage_tests/test_proxy_types_import.py + + - name: callback_manager_test + run: uv run --no-sync python ./tests/code_coverage_tests/callback_manager_test.py + + - name: recursive_detector + run: uv run --no-sync python ./tests/code_coverage_tests/recursive_detector.py + + - name: test_router_strategy_async + run: uv run --no-sync python ./tests/code_coverage_tests/test_router_strategy_async.py + + - name: litellm_logging_code_coverage + run: uv run --no-sync python ./tests/code_coverage_tests/litellm_logging_code_coverage.py + + - name: ensure_async_clients_test + run: uv run --no-sync python ./tests/code_coverage_tests/ensure_async_clients_test.py + + - name: enforce_llms_folder_style + run: uv run --no-sync python ./tests/code_coverage_tests/enforce_llms_folder_style.py + + - name: prevent_key_leaks_in_exceptions + run: uv run --no-sync python ./tests/code_coverage_tests/prevent_key_leaks_in_exceptions.py + + - name: check_unsafe_enterprise_import + run: uv run --no-sync python ./tests/code_coverage_tests/check_unsafe_enterprise_import.py + + - name: ban_copy_deepcopy_kwargs + run: uv run --no-sync python ./tests/code_coverage_tests/ban_copy_deepcopy_kwargs.py + + - name: check_fastuuid_usage + run: uv run --no-sync python ./tests/code_coverage_tests/check_fastuuid_usage.py + + - name: memory_test + run: uv run --no-sync python ./tests/code_coverage_tests/memory_test.py + + - name: documentation_test_env_keys + run: uv run --no-sync python ./tests/documentation_tests/test_env_keys.py + + - name: documentation_test_router_settings + run: uv run --no-sync python ./tests/documentation_tests/test_router_settings.py + + - name: documentation_test_api_docs + run: uv run --no-sync python ./tests/documentation_tests/test_api_docs.py diff --git a/.github/workflows/test-semgrep.yml b/.github/workflows/test-semgrep.yml new file mode 100644 index 00000000000..2ba23e44da8 --- /dev/null +++ b/.github/workflows/test-semgrep.yml @@ -0,0 +1,39 @@ +name: Semgrep + +on: + pull_request: + branches: + - main + - litellm_internal_staging + - litellm_oss_branch + - "litellm_**" + +permissions: + contents: read + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + cancel-in-progress: true + +jobs: + semgrep: + runs-on: ubuntu-latest + timeout-minutes: 10 + + steps: + - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + with: + persist-credentials: false + + - name: Set up Python + uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 + with: + python-version: "3.12" + + - name: Set up uv + uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7 + with: + version: "0.10.9" + + - name: Run Semgrep (custom rules) + run: uv tool run --from 'semgrep==1.157.0' semgrep scan --config .semgrep/rules . --error From 5445297da9fe17fafef99ff0bb118174a3d92eae Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 13:45:00 -0700 Subject: [PATCH 097/165] [Fix] Stabilize flaky spend accuracy tests with local ground truth Replace the calibration step (one request + 10-minute poll) with an independent ground truth computed from response usage via litellm.cost_per_token. All N requests are made up front, so a single dropped Redis write no longer kills the test. Add /health/readiness checks at test start and on poll timeout so the failure message surfaces proxy state (db, cache) instead of "calibration timed out". Set PROXY_BATCH_WRITE_AT=2 in the spend tracking CI job to shorten the scheduler flush window. --- .circleci/config.yml | 1 + .../test_spend_accuracy_tests.py | 297 +++++++++--------- 2 files changed, 155 insertions(+), 143 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index db8e7d49d71..687e0e9401b 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -2318,6 +2318,7 @@ jobs: -e DD_API_KEY=$DD_API_KEY \ -e DD_SITE=$DD_SITE \ -e AWS_REGION_NAME=$AWS_REGION_NAME \ + -e PROXY_BATCH_WRITE_AT=2 \ --add-host host.docker.internal:host-gateway \ --name my-app \ -v $(pwd)/litellm/proxy/example_config_yaml/spend_tracking_config.yaml:/app/config.yaml \ diff --git a/tests/spend_tracking_tests/test_spend_accuracy_tests.py b/tests/spend_tracking_tests/test_spend_accuracy_tests.py index 18527b525e6..8c523e91919 100644 --- a/tests/spend_tracking_tests/test_spend_accuracy_tests.py +++ b/tests/spend_tracking_tests/test_spend_accuracy_tests.py @@ -1,10 +1,9 @@ import pytest import asyncio import aiohttp -import json import time -from httpx import AsyncClient -from typing import Any, Optional + +import litellm from litellm._uuid import uuid """ @@ -12,15 +11,13 @@ Tests to run Basic Tests: 1. Basic Spend Accuracy Test: - - Make 1 calibration request, poll for spend to derive SPEND_PER_REQUEST - - Make N-1 more requests (N total) - - Expect the spend for each of the following to be N * SPEND_PER_REQUEST - Key, Team, User, Org (call /info endpoint for each object to validate) + - Make N requests, compute expected total spend locally from each response's usage + - Poll until batch writer has flushed spend to the DB + - Expect spend for Key, Team, User, Org (/info endpoints) to equal the computed total 2. Long term spend accuracy test (with 2 bursts of requests) - - Burst 1: Make requests, derive SPEND_PER_REQUEST from first request - - Burst 2: Make more requests - - Verify total spend = (burst1 + burst2) * SPEND_PER_REQUEST + - Burst 1: compute expected from responses, verify + - Burst 2: compute expected from responses, verify total = burst1 + burst2 Additional Test Scenarios: @@ -38,6 +35,18 @@ Additional Test Scenarios: - Verify accurate total spend calculation """ +# Upstream model the proxy is configured with (spend_tracking_config.yaml). +# The proxy computes spend using this model's pricing; the local ground-truth +# calculation uses the same pricing table via litellm.cost_per_token. +UPSTREAM_MODEL = "gpt-3.5-turbo" + +# Batch writer flush cadence in CI is ~2-7s (PROXY_BATCH_WRITE_AT=2 + up to 5s jitter). +# Poll every 2s for 60s — plenty of headroom for multiple ticks to land. +POLL_INTERVAL_SECONDS = 2 +POLL_TIMEOUT_SECONDS = 60 + +TOLERANCE = 1e-10 + async def create_organization(session, organization_alias: str): """Helper function to create a new organization""" @@ -102,118 +111,135 @@ async def get_spend_info(session, entity_type: str, entity_id: str): return await response.json() -async def poll_key_spend_until_nonzero( - session, key: str, timeout: int = 120, interval: int = 10 -): - """Poll key spend until it becomes non-zero or timeout is reached.""" +async def get_proxy_readiness(session): + """Fetch /health/readiness. Used both as a fail-fast gate and as a diagnostic on poll timeout.""" + url = "http://0.0.0.0:4000/health/readiness" + headers = {"Authorization": "Bearer sk-1234"} + async with session.get(url, headers=headers) as response: + return response.status, await response.json() + + +async def assert_proxy_healthy(session): + """Fail fast if the proxy's DB or cache is not reachable — no point running the test.""" + status, body = await get_proxy_readiness(session) + if status != 200 or body.get("db") != "connected": + pytest.fail( + f"Proxy /health/readiness unhealthy (status={status}). " + f"Cannot run spend accuracy test. Response: {body}" + ) + print(f"Proxy readiness OK: {body}") + + +def compute_expected_spend(responses) -> float: + """ + Compute the expected total spend locally from each response's usage tokens, + using the same pricing table the proxy uses. This is the independent ground + truth we compare the proxy's reported spend against. + """ + total = 0.0 + for r in responses: + usage = r.usage + prompt_cost, completion_cost = litellm.cost_per_token( + model=UPSTREAM_MODEL, + prompt_tokens=usage.prompt_tokens, + completion_tokens=usage.completion_tokens, + ) + total += prompt_cost + completion_cost + return total + + +async def poll_key_spend_until(session, key: str, expected: float) -> float: + """ + Poll key spend until it matches `expected` within TOLERANCE, or timeout. + Returns the last observed spend either way; caller decides how to report. + """ start = time.time() - while time.time() - start < timeout: + last_spend = 0.0 + while time.time() - start < POLL_TIMEOUT_SECONDS: key_info = await get_spend_info(session, "key", key) - spend = key_info["info"]["spend"] - if spend > 0: + last_spend = key_info["info"]["spend"] + if abs(last_spend - expected) < TOLERANCE: print( - f"Key spend became non-zero ({spend}) after {time.time() - start:.1f}s" + f"Key spend reached expected {expected} after {time.time() - start:.1f}s" ) - return spend - print(f"Key spend still 0.0, waiting... ({time.time() - start:.1f}s elapsed)") - await asyncio.sleep(interval) - raise TimeoutError( - f"Key spend remained 0.0 after {timeout}s — batch writer may not be running" + return last_spend + print( + f"Key spend {last_spend}, expected {expected}, waiting... " + f"({time.time() - start:.1f}s elapsed)" + ) + await asyncio.sleep(POLL_INTERVAL_SECONDS) + return last_spend + + +async def fail_with_diagnostics(session, stage: str, expected: float, observed: float): + """Emit a failure with readiness state so CI output points at the real cause.""" + _, readiness = await get_proxy_readiness(session) + pytest.fail( + f"{stage}: key spend did not match expected after {POLL_TIMEOUT_SECONDS}s poll. " + f"expected={expected}, observed={observed}, diff={expected - observed}. " + f"Proxy readiness: {readiness}" ) -async def calibrate_spend_per_request(session, key: str, max_retries: int = 5): - """ - Make a single calibration request and poll for its spend to derive SPEND_PER_REQUEST. - Fails fast with pytest.fail() if spend cannot be determined. - """ - response = await chat_completion(session, key) - print(f"Calibration request completed: {response}") - - for attempt in range(1, max_retries + 1): - try: - spend = await poll_key_spend_until_nonzero( - session, key, timeout=120, interval=10 - ) - print( - f"Calibrated SPEND_PER_REQUEST = {spend} " - f"(attempt {attempt}/{max_retries})" - ) - return spend - except TimeoutError: - if attempt < max_retries: - print( - f"Calibration attempt {attempt}/{max_retries} timed out, retrying..." - ) - else: - pytest.fail( - f"Failed to calibrate SPEND_PER_REQUEST after {max_retries} attempts. " - "The batch writer may not be running or the model may have 0 cost." - ) - - @pytest.mark.asyncio async def test_basic_spend_accuracy(): """ Test basic spend accuracy across different entities: 1. Create org, team, user, and key - 2. Make 1 calibration request to derive SPEND_PER_REQUEST - 3. Make remaining requests (NUM_LLM_REQUESTS total) - 4. Verify spend accuracy for key, team, user, and org + 2. Make N requests, keeping each response + 3. Compute expected spend locally from response usage (independent ground truth) + 4. Poll until proxy-reported spend matches expected + 5. Verify spend is consistent across key, team, user, and org entities """ NUM_LLM_REQUESTS = 20 - TOLERANCE = 1e-10 async with aiohttp.ClientSession() as session: - # Create organization + await assert_proxy_healthy(session) + org_response = await create_organization( session=session, organization_alias=f"test-org-{uuid.uuid4()}" ) print("org_response: ", org_response) org_id = org_response["organization_id"] - # Create team under organization team_response = await create_team(session, org_id) print("team_response: ", team_response) team_id = team_response["team_id"] - # Create user user_response = await create_user(session, org_id) print("user_response: ", user_response) user_id = user_response["user_id"] - # Generate key key_response = await generate_key(session, user_id, team_id) print("key_response: ", key_response) key = key_response["key"] - # Calibrate: make 1 request and derive SPEND_PER_REQUEST - spend_per_request = await calibrate_spend_per_request(session, key) - expected_spend = NUM_LLM_REQUESTS * spend_per_request - print(f"SPEND_PER_REQUEST={spend_per_request}, expected_spend={expected_spend}") - - # Make remaining requests (1 already made during calibration) - for i in range(NUM_LLM_REQUESTS - 1): + responses = [] + for i in range(NUM_LLM_REQUESTS): response = await chat_completion(session, key) - print(f"Request {i + 2}/{NUM_LLM_REQUESTS} completed") + responses.append(response) + print(f"Request {i + 1}/{NUM_LLM_REQUESTS} completed") - # Poll until batch writer has flushed all spend - start = time.time() - while time.time() - start < 120: - key_info = await get_spend_info(session, "key", key) - current_spend = key_info["info"]["spend"] - if abs(current_spend - expected_spend) < TOLERANCE: - print( - f"Key spend reached expected {expected_spend} after {time.time() - start:.1f}s" - ) - break - print(f"Key spend {current_spend}, expected {expected_spend}, waiting...") - await asyncio.sleep(10) + expected_spend = compute_expected_spend(responses) + assert expected_spend > 0, ( + f"Locally computed expected spend is {expected_spend}. Either cost calc " + f"is broken or upstream returned zero tokens. " + f"Usage: {[r.usage.model_dump() for r in responses]}" + ) + print(f"Expected total spend (local ground truth): {expected_spend}") - # Allow extra time for all entity spend aggregations to complete + final_spend = await poll_key_spend_until(session, key, expected_spend) + if abs(final_spend - expected_spend) >= TOLERANCE: + await fail_with_diagnostics( + session, + stage="test_basic_spend_accuracy", + expected=expected_spend, + observed=final_spend, + ) + + # Allow a final scheduler tick for team/user/org aggregations to settle await asyncio.sleep(5) - # Get spend information for each entity key_info = await get_spend_info(session, "key", key) print("key_info: ", key_info) team_info = await get_spend_info(session, "team", team_id) @@ -223,7 +249,6 @@ async def test_basic_spend_accuracy(): org_info = await get_spend_info(session, "organization", org_id) print("org_info: ", org_info) - # Verify spend for each entity assert ( abs(key_info["info"]["spend"] - expected_spend) < TOLERANCE ), f"Key spend {key_info['info']['spend']} does not match expected {expected_spend}" @@ -246,91 +271,78 @@ async def test_long_term_spend_accuracy_with_bursts(): """ Test long-term spend accuracy with multiple bursts of requests: 1. Create org, team, user, and key - 2. Calibrate SPEND_PER_REQUEST from first request - 3. Burst 1: Make remaining requests - 4. Burst 2: Make more requests - 5. Verify the total spend is tracked accurately across all entities + 2. Burst 1: make requests, compute expected locally, verify proxy matches + 3. Burst 2: make more requests, verify proxy total == burst1 + burst2 + 4. Verify total spend is consistent across all entities """ BURST_1_REQUESTS = 22 BURST_2_REQUESTS = 12 - TOTAL_REQUESTS = BURST_1_REQUESTS + BURST_2_REQUESTS - TOLERANCE = 1e-10 async with aiohttp.ClientSession() as session: - # Create organization + await assert_proxy_healthy(session) + org_response = await create_organization( session=session, organization_alias=f"test-org-{uuid.uuid4()}" ) print("org_response: ", org_response) org_id = org_response["organization_id"] - # Create team under organization team_response = await create_team(session, org_id) print("team_response: ", team_response) team_id = team_response["team_id"] - # Create user user_response = await create_user(session, org_id) print("user_response: ", user_response) user_id = user_response["user_id"] - # Generate key key_response = await generate_key(session, user_id, team_id) print("key_response: ", key_response) key = key_response["key"] - # Calibrate: make 1 request and derive SPEND_PER_REQUEST - spend_per_request = await calibrate_spend_per_request(session, key) - expected_spend = TOTAL_REQUESTS * spend_per_request - print(f"SPEND_PER_REQUEST={spend_per_request}, expected_spend={expected_spend}") - - # First burst: remaining requests (1 already made during calibration) - print(f"Starting first burst ({BURST_1_REQUESTS - 1} remaining requests)...") - for i in range(BURST_1_REQUESTS - 1): + print(f"Starting first burst of {BURST_1_REQUESTS} requests...") + burst_1_responses = [] + for i in range(BURST_1_REQUESTS): response = await chat_completion(session, key) - print(f"Burst 1 - Request {i + 2}/{BURST_1_REQUESTS} completed") + burst_1_responses.append(response) + print(f"Burst 1 - Request {i + 1}/{BURST_1_REQUESTS} completed") - # Poll until batch writer has flushed burst 1 spend - burst_1_expected = BURST_1_REQUESTS * spend_per_request - start = time.time() - while time.time() - start < 120: - key_info_check = await get_spend_info(session, "key", key) - current_spend = key_info_check["info"]["spend"] - if abs(current_spend - burst_1_expected) < TOLERANCE: - print( - f"Burst 1 spend reached expected {burst_1_expected} after {time.time() - start:.1f}s" - ) - break - print(f"Key spend {current_spend}, expected {burst_1_expected}, waiting...") - await asyncio.sleep(10) + burst_1_expected = compute_expected_spend(burst_1_responses) + assert burst_1_expected > 0, ( + f"Burst 1 expected spend is {burst_1_expected}. " + f"Usage: {[r.usage.model_dump() for r in burst_1_responses]}" + ) + print(f"Burst 1 expected spend: {burst_1_expected}") - # Check intermediate spend - intermediate_key_info = await get_spend_info(session, "key", key) - print(f"After Burst 1 - Key spend: {intermediate_key_info['info']['spend']}") + final_burst_1 = await poll_key_spend_until(session, key, burst_1_expected) + if abs(final_burst_1 - burst_1_expected) >= TOLERANCE: + await fail_with_diagnostics( + session, + stage="test_long_term_spend_accuracy burst 1", + expected=burst_1_expected, + observed=final_burst_1, + ) - # Second burst print(f"Starting second burst of {BURST_2_REQUESTS} requests...") + burst_2_responses = [] for i in range(BURST_2_REQUESTS): response = await chat_completion(session, key) + burst_2_responses.append(response) print(f"Burst 2 - Request {i + 1}/{BURST_2_REQUESTS} completed") - # Poll until key spend reaches expected total (burst 1 + burst 2) - start = time.time() - while time.time() - start < 120: - key_info_check = await get_spend_info(session, "key", key) - current_spend = key_info_check["info"]["spend"] - if abs(current_spend - expected_spend) < TOLERANCE: - print( - f"Total spend reached expected {expected_spend} after {time.time() - start:.1f}s" - ) - break - print(f"Key spend {current_spend}, expected {expected_spend}, waiting...") - await asyncio.sleep(10) + total_expected = burst_1_expected + compute_expected_spend(burst_2_responses) + print(f"Total expected spend (burst 1 + burst 2): {total_expected}") + + final_total = await poll_key_spend_until(session, key, total_expected) + if abs(final_total - total_expected) >= TOLERANCE: + await fail_with_diagnostics( + session, + stage="test_long_term_spend_accuracy total", + expected=total_expected, + observed=final_total, + ) - # Allow extra time for all entity spend aggregations await asyncio.sleep(5) - # Get final spend information for each entity key_info = await get_spend_info(session, "key", key) team_info = await get_spend_info(session, "team", team_id) user_info = await get_spend_info(session, "user", user_id) @@ -341,19 +353,18 @@ async def test_long_term_spend_accuracy_with_bursts(): print(f"Final user spend: {user_info['user_info']['spend']}") print(f"Final org spend: {org_info['spend']}") - # Verify total spend for each entity assert ( - abs(key_info["info"]["spend"] - expected_spend) < TOLERANCE - ), f"Key spend {key_info['info']['spend']} does not match expected {expected_spend}" + abs(key_info["info"]["spend"] - total_expected) < TOLERANCE + ), f"Key spend {key_info['info']['spend']} does not match expected {total_expected}" assert ( - abs(user_info["user_info"]["spend"] - expected_spend) < TOLERANCE - ), f"User spend {user_info['user_info']['spend']} does not match expected {expected_spend}" + abs(user_info["user_info"]["spend"] - total_expected) < TOLERANCE + ), f"User spend {user_info['user_info']['spend']} does not match expected {total_expected}" assert ( - abs(team_info["team_info"]["spend"] - expected_spend) < TOLERANCE - ), f"Team spend {team_info['team_info']['spend']} does not match expected {expected_spend}" + abs(team_info["team_info"]["spend"] - total_expected) < TOLERANCE + ), f"Team spend {team_info['team_info']['spend']} does not match expected {total_expected}" assert ( - abs(org_info["spend"] - expected_spend) < TOLERANCE - ), f"Organization spend {org_info['spend']} does not match expected {expected_spend}" + abs(org_info["spend"] - total_expected) < TOLERANCE + ), f"Organization spend {org_info['spend']} does not match expected {total_expected}" From 699b820c22d03fb2180165fa276d0eb5b74e5194 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 13:45:18 -0700 Subject: [PATCH 098/165] fix: align image URL fetch with validated client in bedrock and token counter paths --- litellm/litellm_core_utils/prompt_templates/factory.py | 7 ++++--- litellm/litellm_core_utils/token_counter.py | 7 +++++++ 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/litellm/litellm_core_utils/prompt_templates/factory.py b/litellm/litellm_core_utils/prompt_templates/factory.py index bf950357bac..5a19c224aa4 100644 --- a/litellm/litellm_core_utils/prompt_templates/factory.py +++ b/litellm/litellm_core_utils/prompt_templates/factory.py @@ -15,6 +15,7 @@ import litellm.types import litellm.types.llms from litellm import verbose_logger from litellm._uuid import uuid +from litellm.litellm_core_utils.url_utils import async_safe_get, safe_get from litellm.llms.custom_httpx.http_handler import HTTPHandler, get_async_httpx_client from litellm.types.files import get_file_extension_from_mime_type from litellm.types.llms.anthropic import * @@ -3324,7 +3325,7 @@ def _load_image_from_url(image_url): try: # Send a GET request to the image URL client = HTTPHandler(concurrent_limit=1) - response = client.get(image_url) + response = safe_get(client, image_url) response.raise_for_status() # Raise an exception for HTTP errors # Check the response's content type to ensure it is an image @@ -3562,7 +3563,7 @@ class BedrockImageProcessor: params={"concurrent_limit": 1}, ) # Send a GET request to the image URL - response = await client.get(image_url, follow_redirects=True) + response = await async_safe_get(client, image_url) response.raise_for_status() # Raise an exception for HTTP errors return BedrockImageProcessor._post_call_image_processing( @@ -3577,7 +3578,7 @@ class BedrockImageProcessor: try: client = HTTPHandler(concurrent_limit=1) # Send a GET request to the image URL - response = client.get(image_url, follow_redirects=True) + response = safe_get(client, image_url) response.raise_for_status() # Raise an exception for HTTP errors return BedrockImageProcessor._post_call_image_processing( diff --git a/litellm/litellm_core_utils/token_counter.py b/litellm/litellm_core_utils/token_counter.py index 01e5dc39a34..d893b980789 100644 --- a/litellm/litellm_core_utils/token_counter.py +++ b/litellm/litellm_core_utils/token_counter.py @@ -23,6 +23,7 @@ from litellm.constants import ( DEFAULT_IMAGE_HEIGHT, DEFAULT_IMAGE_TOKEN_COUNT, DEFAULT_IMAGE_WIDTH, + MAX_IMAGE_URL_DOWNLOAD_SIZE_MB, MAX_LONG_SIDE_FOR_IMAGE_HIGH_RES, MAX_SHORT_SIDE_FOR_IMAGE_HIGH_RES, MAX_TILE_HEIGHT, @@ -215,7 +216,13 @@ def get_image_dimensions( try: client = _get_httpx_client() response = safe_get(client, data) + max_bytes = int(MAX_IMAGE_URL_DOWNLOAD_SIZE_MB * 1024 * 1024) + content_length = response.headers.get("Content-Length") + if content_length is not None and int(content_length) > max_bytes: + raise ValueError("Image response exceeds size limit") img_data = response.read() + if len(img_data) > max_bytes: + raise ValueError("Image response exceeds size limit") except Exception: pass if img_data is None: From 288d4035293d8a4ed6ccff9a55376b2550e83c3c Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 14:10:40 -0700 Subject: [PATCH 099/165] [Fix] Preserve in-memory spend updates when Redis rpush fails store_in_memory_spend_updates_in_redis drained the in-memory queues into local variables before the rpush pipeline. If rpush raised (cloud Redis hiccup, timeout, connection blip), those already-drained transactions were garbage-collected with the scheduler job, silently losing all spend aggregated during that tick. Wrap the rpush in try/except. On failure, re-enqueue the aggregated transactions into their respective in-memory queues so the next scheduler tick retries. Add a unit test that seeds real queues, simulates an rpush failure, and asserts the transactions land back in-memory. --- .../redis_update_buffer.py | 101 +++++++++++++++++- .../test_redis_update_buffer.py | 83 ++++++++++++++ 2 files changed, 181 insertions(+), 3 deletions(-) diff --git a/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py b/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py index b8537c2be9e..3a008d265fc 100644 --- a/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py +++ b/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py @@ -29,6 +29,8 @@ from litellm.proxy._types import ( DailyTeamSpendTransaction, DailyUserSpendTransaction, DBSpendUpdateTransactions, + Litellm_EntityType, + SpendUpdateQueueItem, ) from litellm.proxy.db.db_transaction_queue.base_update_queue import service_logger_obj from litellm.proxy.db.db_transaction_queue.daily_spend_update_queue import ( @@ -259,9 +261,36 @@ class RedisUpdateBuffer: if len(rpush_list) == 0: return - result_lengths = await self.redis_cache.async_rpush_pipeline( - rpush_list=rpush_list, - ) + try: + result_lengths = await self.redis_cache.async_rpush_pipeline( + rpush_list=rpush_list, + ) + except Exception as e: + # The in-memory queues were already drained above. If we let the + # exception propagate without restoring, the aggregated spend is + # permanently lost. Re-enqueue so the next scheduler tick retries. + verbose_proxy_logger.error( + "Spend tracking - failed to push aggregated spend updates to Redis. " + "Restoring %d transaction sets to in-memory queues for retry on next tick. " + "Error: %s", + len(rpush_list), + str(e), + ) + await self._restore_spend_updates_to_in_memory_queues( + db_spend_update_transactions=db_spend_update_transactions, + daily_spend_update_transactions=daily_spend_update_transactions, + daily_team_spend_update_transactions=daily_team_spend_update_transactions, + daily_org_spend_update_transactions=daily_org_spend_update_transactions, + daily_end_user_spend_update_transactions=daily_end_user_spend_update_transactions, + daily_agent_spend_update_transactions=daily_agent_spend_update_transactions, + spend_update_queue=spend_update_queue, + daily_spend_update_queue=daily_spend_update_queue, + daily_team_spend_update_queue=daily_team_spend_update_queue, + daily_org_spend_update_queue=daily_org_spend_update_queue, + daily_end_user_spend_update_queue=daily_end_user_spend_update_queue, + daily_agent_spend_update_queue=daily_agent_spend_update_queue, + ) + return # Emit gauge events for each queue for i, queue_size in enumerate(result_lengths): @@ -271,6 +300,72 @@ class RedisUpdateBuffer: service=service_types[i], ) + @staticmethod + async def _restore_spend_updates_to_in_memory_queues( + db_spend_update_transactions: Optional[DBSpendUpdateTransactions], + daily_spend_update_transactions: Optional[Dict[str, DailyUserSpendTransaction]], + daily_team_spend_update_transactions: Optional[ + Dict[str, DailyTeamSpendTransaction] + ], + daily_org_spend_update_transactions: Optional[ + Dict[str, DailyOrganizationSpendTransaction] + ], + daily_end_user_spend_update_transactions: Optional[ + Dict[str, DailyEndUserSpendTransaction] + ], + daily_agent_spend_update_transactions: Optional[ + Dict[str, DailyAgentSpendTransaction] + ], + spend_update_queue: SpendUpdateQueue, + daily_spend_update_queue: DailySpendUpdateQueue, + daily_team_spend_update_queue: DailySpendUpdateQueue, + daily_org_spend_update_queue: DailySpendUpdateQueue, + daily_end_user_spend_update_queue: DailySpendUpdateQueue, + daily_agent_spend_update_queue: DailySpendUpdateQueue, + ) -> None: + """ + Put drained-but-unpushed transactions back into in-memory queues. + + Called when the Redis rpush pipeline raises. Without this, all spend + data aggregated during the current scheduler tick is permanently lost + because the source queues were already drained before the rpush. + """ + entity_type_field_pairs = [ + (Litellm_EntityType.USER, "user_list_transactions"), + (Litellm_EntityType.END_USER, "end_user_list_transactions"), + (Litellm_EntityType.KEY, "key_list_transactions"), + (Litellm_EntityType.TEAM, "team_list_transactions"), + (Litellm_EntityType.TEAM_MEMBER, "team_member_list_transactions"), + (Litellm_EntityType.ORGANIZATION, "org_list_transactions"), + (Litellm_EntityType.TAG, "tag_list_transactions"), + (Litellm_EntityType.AGENT, "agent_list_transactions"), + ] + if db_spend_update_transactions is not None: + for entity_type, field in entity_type_field_pairs: + entities = db_spend_update_transactions.get(field) or {} # type: ignore[call-overload] + for entity_id, cost in entities.items(): + await spend_update_queue.add_update( + SpendUpdateQueueItem( + entity_type=entity_type, + entity_id=entity_id, + response_cost=cost, + ) + ) + + daily_pairs = [ + (daily_spend_update_transactions, daily_spend_update_queue), + (daily_team_spend_update_transactions, daily_team_spend_update_queue), + (daily_org_spend_update_transactions, daily_org_spend_update_queue), + ( + daily_end_user_spend_update_transactions, + daily_end_user_spend_update_queue, + ), + (daily_agent_spend_update_transactions, daily_agent_spend_update_queue), + ] + for daily_txns, daily_queue in daily_pairs: + if daily_txns: + await daily_queue.update_queue.put(daily_txns) + @staticmethod def _number_of_transactions_to_store_in_redis( db_spend_update_transactions: DBSpendUpdateTransactions, diff --git a/tests/test_litellm/proxy/db/db_transaction_queue/test_redis_update_buffer.py b/tests/test_litellm/proxy/db/db_transaction_queue/test_redis_update_buffer.py index 44602125ffe..0587e3bce1e 100644 --- a/tests/test_litellm/proxy/db/db_transaction_queue/test_redis_update_buffer.py +++ b/tests/test_litellm/proxy/db/db_transaction_queue/test_redis_update_buffer.py @@ -87,6 +87,89 @@ async def test_store_in_memory_spend_updates_uses_pipeline( assert len(rpush_list) == 3 +@pytest.mark.asyncio +async def test_store_in_memory_spend_updates_restores_on_rpush_failure( + redis_update_buffer, mock_redis_cache +): + """ + If async_rpush_pipeline raises, the already-drained transactions must be + put back into the in-memory queues so the next scheduler tick retries. + Without this, any transient Redis hiccup silently loses spend data. + """ + from litellm.proxy._types import Litellm_EntityType + from litellm.proxy.db.db_transaction_queue.daily_spend_update_queue import ( + DailySpendUpdateQueue, + ) + from litellm.proxy.db.db_transaction_queue.spend_update_queue import ( + SpendUpdateQueue, + ) + + mock_redis_cache.async_rpush_pipeline = AsyncMock( + side_effect=ConnectionError("redis went away") + ) + + spend_queue = SpendUpdateQueue() + daily_user_queue = DailySpendUpdateQueue() + daily_team_queue = DailySpendUpdateQueue() + daily_org_queue = DailySpendUpdateQueue() + daily_end_user_queue = DailySpendUpdateQueue() + daily_agent_queue = DailySpendUpdateQueue() + + # Seed real queues with data so flush_and_get_aggregated returns it + await spend_queue.add_update( + { + "entity_type": Litellm_EntityType.KEY, + "entity_id": "key-abc", + "response_cost": 1.5, + } + ) + await spend_queue.add_update( + { + "entity_type": Litellm_EntityType.TEAM, + "entity_id": "team-xyz", + "response_cost": 2.5, + } + ) + await daily_user_queue.add_update( + { + "user1_day_model": { + "spend": 1.0, + "prompt_tokens": 10, + "completion_tokens": 20, + } + } + ) + + await redis_update_buffer.store_in_memory_spend_updates_in_redis( + spend_update_queue=spend_queue, + daily_spend_update_queue=daily_user_queue, + daily_team_spend_update_queue=daily_team_queue, + daily_org_spend_update_queue=daily_org_queue, + daily_end_user_spend_update_queue=daily_end_user_queue, + daily_agent_spend_update_queue=daily_agent_queue, + ) + + # After restore, the main spend queue should hold one item per + # (entity_type, entity_id) pair with the aggregated cost + restored_spend = ( + await spend_queue.flush_and_get_aggregated_db_spend_update_transactions() + ) + assert restored_spend["key_list_transactions"] == {"key-abc": 1.5} + assert restored_spend["team_list_transactions"] == {"team-xyz": 2.5} + + # Daily user queue should hold the same aggregated dict + restored_daily = ( + await daily_user_queue.flush_and_get_aggregated_daily_spend_update_transactions() + ) + assert restored_daily == { + "user1_day_model": { + "spend": 1.0, + "prompt_tokens": 10, + "completion_tokens": 20, + } + } + + @pytest.mark.asyncio async def test_store_in_memory_spend_updates_all_empty_returns_early( redis_update_buffer, mock_redis_cache From 3df9780c0286ff89a5d94be078b62db0b15cf895 Mon Sep 17 00:00:00 2001 From: Milan Date: Thu, 23 Apr 2026 00:12:30 +0300 Subject: [PATCH 100/165] fix(core_helpers): make redact_nested_match_and_regex_keys iterative Replace recursive `_walk` helper with a stack-based traversal so the recursive_detector CI check passes without adding to the ignore list, and avoid Python recursion limits on deeply nested payloads. Made-with: Cursor --- litellm/litellm_core_utils/core_helpers.py | 30 ++++++++++++---------- 1 file changed, 17 insertions(+), 13 deletions(-) diff --git a/litellm/litellm_core_utils/core_helpers.py b/litellm/litellm_core_utils/core_helpers.py index 07239a68869..b7a8b6f9ad7 100644 --- a/litellm/litellm_core_utils/core_helpers.py +++ b/litellm/litellm_core_utils/core_helpers.py @@ -454,20 +454,24 @@ def redact_nested_match_and_regex_keys( except Exception: return payload - def _walk(node: Any) -> None: - if isinstance(node, dict): - if "match" in node: - node["match"] = "[REDACTED]" - if "regex" in node: - node["regex"] = "[REDACTED]" - for value in node.values(): - _walk(value) - elif isinstance(node, list): - for item in node: - _walk(item) - + # Iterative traversal; `seen` guards against cyclic refs preserved by deepcopy. try: - _walk(redacted) + seen: set = set() + stack: List[Any] = [redacted] + while stack: + node = stack.pop() + node_id = id(node) + if node_id in seen: + continue + seen.add(node_id) + if isinstance(node, dict): + if "match" in node: + node["match"] = "[REDACTED]" + if "regex" in node: + node["regex"] = "[REDACTED]" + stack.extend(node.values()) + elif isinstance(node, list): + stack.extend(node) except Exception: return payload return redacted From 3f42295d93ce322e45907415b53a660d06792337 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 14:31:25 -0700 Subject: [PATCH 101/165] [Fix] Satisfy mypy on spend buffer restore helper MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The daily queue parameter types on _restore_spend_updates_to_in_memory_queues were narrowed to specific subtypes (DailyUserSpendTransaction, etc), but the caller passes Dict[str, BaseDailySpendTransaction] — the return type of flush_and_get_aggregated_daily_spend_update_transactions. Widen the parameters to the base type. Also replace dynamic TypedDict key lookup (which returned object) with explicit literal-keyed get() calls so mypy can type-narrow each field. --- .../redis_update_buffer.py | 66 ++++++++++++++----- 1 file changed, 48 insertions(+), 18 deletions(-) diff --git a/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py b/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py index 3a008d265fc..1e3014dbf3c 100644 --- a/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py +++ b/litellm/proxy/db/db_transaction_queue/redis_update_buffer.py @@ -22,6 +22,7 @@ from litellm.constants import ( ) from litellm.litellm_core_utils.safe_json_dumps import safe_dumps from litellm.proxy._types import ( + BaseDailySpendTransaction, DailyAgentSpendTransaction, DailyEndUserSpendTransaction, DailyOrganizationSpendTransaction, @@ -303,18 +304,18 @@ class RedisUpdateBuffer: @staticmethod async def _restore_spend_updates_to_in_memory_queues( db_spend_update_transactions: Optional[DBSpendUpdateTransactions], - daily_spend_update_transactions: Optional[Dict[str, DailyUserSpendTransaction]], + daily_spend_update_transactions: Optional[Dict[str, BaseDailySpendTransaction]], daily_team_spend_update_transactions: Optional[ - Dict[str, DailyTeamSpendTransaction] + Dict[str, BaseDailySpendTransaction] ], daily_org_spend_update_transactions: Optional[ - Dict[str, DailyOrganizationSpendTransaction] + Dict[str, BaseDailySpendTransaction] ], daily_end_user_spend_update_transactions: Optional[ - Dict[str, DailyEndUserSpendTransaction] + Dict[str, BaseDailySpendTransaction] ], daily_agent_spend_update_transactions: Optional[ - Dict[str, DailyAgentSpendTransaction] + Dict[str, BaseDailySpendTransaction] ], spend_update_queue: SpendUpdateQueue, daily_spend_update_queue: DailySpendUpdateQueue, @@ -330,19 +331,46 @@ class RedisUpdateBuffer: data aggregated during the current scheduler tick is permanently lost because the source queues were already drained before the rpush. """ - entity_type_field_pairs = [ - (Litellm_EntityType.USER, "user_list_transactions"), - (Litellm_EntityType.END_USER, "end_user_list_transactions"), - (Litellm_EntityType.KEY, "key_list_transactions"), - (Litellm_EntityType.TEAM, "team_list_transactions"), - (Litellm_EntityType.TEAM_MEMBER, "team_member_list_transactions"), - (Litellm_EntityType.ORGANIZATION, "org_list_transactions"), - (Litellm_EntityType.TAG, "tag_list_transactions"), - (Litellm_EntityType.AGENT, "agent_list_transactions"), - ] if db_spend_update_transactions is not None: - for entity_type, field in entity_type_field_pairs: - entities = db_spend_update_transactions.get(field) or {} # type: ignore[call-overload] + entity_entries: List[ + Tuple[Litellm_EntityType, Optional[Dict[str, float]]] + ] = [ + ( + Litellm_EntityType.USER, + db_spend_update_transactions.get("user_list_transactions"), + ), + ( + Litellm_EntityType.END_USER, + db_spend_update_transactions.get("end_user_list_transactions"), + ), + ( + Litellm_EntityType.KEY, + db_spend_update_transactions.get("key_list_transactions"), + ), + ( + Litellm_EntityType.TEAM, + db_spend_update_transactions.get("team_list_transactions"), + ), + ( + Litellm_EntityType.TEAM_MEMBER, + db_spend_update_transactions.get("team_member_list_transactions"), + ), + ( + Litellm_EntityType.ORGANIZATION, + db_spend_update_transactions.get("org_list_transactions"), + ), + ( + Litellm_EntityType.TAG, + db_spend_update_transactions.get("tag_list_transactions"), + ), + ( + Litellm_EntityType.AGENT, + db_spend_update_transactions.get("agent_list_transactions"), + ), + ] + for entity_type, entities in entity_entries: + if not entities: + continue for entity_id, cost in entities.items(): await spend_update_queue.add_update( SpendUpdateQueueItem( @@ -352,7 +380,9 @@ class RedisUpdateBuffer: ) ) - daily_pairs = [ + daily_pairs: List[ + Tuple[Optional[Dict[str, BaseDailySpendTransaction]], DailySpendUpdateQueue] + ] = [ (daily_spend_update_transactions, daily_spend_update_queue), (daily_team_spend_update_transactions, daily_team_spend_update_queue), (daily_org_spend_update_transactions, daily_org_spend_update_queue), From 331e3f22508ca52c62ff52b16ef8f7f330259a17 Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Wed, 22 Apr 2026 15:00:13 -0700 Subject: [PATCH 102/165] Surface per-member total spend in Teams > Members tab Adds a "Total Spend (USD)" column backed by the new membership.total_spend field. Cumulative across budget cycles; tracking began 2026-04-21. --- .../src/components/team/TeamInfo.tsx | 1 + .../src/components/team/TeamMemberTab.tsx | 13 ++++++------- 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx index 909b079e6a5..4bc7ff3ea8e 100644 --- a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx @@ -60,6 +60,7 @@ export interface TeamMembership { team_id: string; budget_id: string; spend: number; + total_spend: number | null; litellm_budget_table: { budget_id: string; soft_budget: number | null; diff --git a/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx b/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx index e880aa49f65..7c9e47d9e1b 100644 --- a/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx @@ -45,11 +45,10 @@ export default function TeamMemberTab({ return "0"; }; - // Helper function to get spend for a user - const getUserSpend = (userId: string | null): number | null => { + const getUserTotalSpend = (userId: string | null): number => { if (!userId) return 0; const membership = teamData.team_memberships.find((tm) => tm.user_id === userId); - return membership?.spend || 0; + return membership?.total_spend ?? 0; }; const getUserBudget = (userId: string | null): string | null => { @@ -124,15 +123,15 @@ export default function TeamMemberTab({ { title: ( - Team Member Spend (USD) - + Total Spend (USD) + ), - key: "spend", + key: "total_spend", render: (_: unknown, record: Member) => ( - ${formatNumberWithCommas(getUserSpend(record.user_id), 4)} + ${formatNumberWithCommas(getUserTotalSpend(record.user_id), 4)} ), }, { From 28e1d2f1a638b9f5dfc92b22620834e101f2d70f Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 16:14:24 -0700 Subject: [PATCH 103/165] [Infra] CCI: unify uv cache key and cache only ~/.cache/uv MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Consolidate 6 distinct cache-key prefixes (v2-dependencies-, v1-router-testing-deps-, v1-router-unit-deps-, v1-llm-translation-deps-, v1-llm-responses-deps-, v3-litellm-uv-deps-, ui-e2e-py-deps-v2-) onto a single v1-uv-cache- key shared across all Python jobs. Cache only ~/.cache/uv (the content-addressed uv download cache, hash-verified against uv.lock at install time). Drop ./.venv, ~/.local/{bin,lib}, and /home/circleci/.{pyenv,local} from cache paths. ~/.cache/uv is the only path uv sync needs to avoid re-downloading from PyPI; everything else is rebuilt each run from that verified cache. Remove partial-prefix restore-keys fallbacks — cache either hits exactly on the uv.lock hash or rebuilds cleanly. First run after merge will cold-miss on the new key; subsequent runs hit the unified cache. --- .circleci/config.yml | 90 ++++++++++++++++++-------------------------- 1 file changed, 37 insertions(+), 53 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 0a59b7ef0db..3a2d6348bae 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -112,11 +112,10 @@ commands: steps: - checkout - setup_google_dns + - install_uv - restore_cache: keys: - - v3-litellm-uv-deps-{{ checksum "uv.lock" }} - - v3-litellm-uv-deps- - - install_uv + - v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Install Dependencies command: | @@ -124,10 +123,8 @@ commands: - setup_litellm_enterprise_pip - save_cache: paths: - - ~/.local/lib - - ~/.local/bin - ~/.cache/uv - key: v3-litellm-uv-deps-{{ checksum "uv.lock" }} + key: v1-uv-cache-{{ checksum "uv.lock" }} jobs: # Add Windows testing job @@ -182,8 +179,7 @@ jobs: - restore_cache: keys: - - v2-dependencies-{{ checksum "uv.lock" }} - - v2-dependencies- + - v1-uv-cache-{{ checksum "uv.lock" }} - install_uv - run: name: Install Dependencies @@ -192,8 +188,8 @@ jobs: - setup_litellm_enterprise_pip - save_cache: paths: - - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Run prisma ./docker/entrypoint.sh command: | @@ -263,8 +259,7 @@ jobs: - restore_cache: keys: - - v2-dependencies-{{ checksum "uv.lock" }} - - v2-dependencies- + - v1-uv-cache-{{ checksum "uv.lock" }} - install_uv - run: name: Install Dependencies @@ -273,8 +268,8 @@ jobs: - setup_litellm_enterprise_pip - save_cache: paths: - - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Run prisma ./docker/entrypoint.sh command: | @@ -345,8 +340,7 @@ jobs: - restore_cache: keys: - - v2-dependencies-{{ checksum "uv.lock" }} - - v2-dependencies- + - v1-uv-cache-{{ checksum "uv.lock" }} - install_uv - run: name: Install Dependencies @@ -355,8 +349,8 @@ jobs: - setup_litellm_enterprise_pip - save_cache: paths: - - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Run prisma ./docker/entrypoint.sh command: | @@ -401,8 +395,8 @@ jobs: uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} - wait_for_service: url: tcp://localhost:5432 timeout: "60" @@ -440,20 +434,18 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - restore_cache: keys: - - v1-router-testing-deps-{{ checksum "uv.lock" }} - - v1-router-testing-deps- - - install_uv + - v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Install Dependencies command: | uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - - /home/circleci/.pyenv - - /home/circleci/.local - key: v1-router-testing-deps-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} # Run pytest and generate JUnit XML report - setup_litellm_enterprise_pip - run: @@ -490,20 +482,18 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - restore_cache: keys: - - v1-router-unit-deps-{{ checksum "uv.lock" }} - - v1-router-unit-deps- - - install_uv + - v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Install Dependencies command: | uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - - /home/circleci/.pyenv - - /home/circleci/.local - key: v1-router-unit-deps-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} # Run pytest and generate JUnit XML report - setup_litellm_enterprise_pip - run: @@ -557,20 +547,18 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - restore_cache: keys: - - v1-llm-translation-deps-{{ checksum "uv.lock" }} - - v1-llm-translation-deps- - - install_uv + - v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Install Dependencies command: | uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - - /home/circleci/.pyenv - - /home/circleci/.local - key: v1-llm-translation-deps-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} # Run pytest and generate JUnit XML report - run: name: Run tests @@ -799,20 +787,18 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - restore_cache: keys: - - v1-llm-responses-deps-{{ checksum "uv.lock" }} - - v1-llm-responses-deps- - - install_uv + - v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Install Dependencies command: | uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - - /home/circleci/.pyenv - - /home/circleci/.local - key: v1-llm-responses-deps-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} # Run pytest and generate JUnit XML report - run: name: Run tests @@ -1202,8 +1188,7 @@ jobs: - setup_google_dns - restore_cache: keys: - - v2-dependencies-{{ checksum "uv.lock" }} - - v2-dependencies- + - v1-uv-cache-{{ checksum "uv.lock" }} - install_uv - run: name: Install Dependencies @@ -1211,8 +1196,8 @@ jobs: uv sync --frozen --all-groups --all-extras --python 3.12 - save_cache: paths: - - ./.venv - key: v2-dependencies-{{ checksum "uv.lock" }} + - ~/.cache/uv + key: v1-uv-cache-{{ checksum "uv.lock" }} # Run pytest and generate JUnit XML report - run: name: Run tests @@ -2364,20 +2349,19 @@ jobs: steps: - checkout - setup_google_dns + - install_uv - restore_cache: keys: - - ui-e2e-py-deps-v2-{{ checksum "uv.lock" }} - - ui-e2e-py-deps-v2- - - install_uv + - v1-uv-cache-{{ checksum "uv.lock" }} - run: name: Install Python dependencies command: | uv sync --frozen --all-groups --all-extras --python 3.12 uv run --no-sync python -m prisma generate --schema litellm/proxy/schema.prisma - save_cache: - key: ui-e2e-py-deps-v2-{{ checksum "uv.lock" }} + key: v1-uv-cache-{{ checksum "uv.lock" }} paths: - - ./.venv + - ~/.cache/uv - restore_cache: keys: - ui-e2e-node-deps-v1-{{ checksum "ui/litellm-dashboard/package-lock.json" }} From df93941cd7124bf20ed5a4e2493abb0f9f799c39 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 16:28:51 -0700 Subject: [PATCH 104/165] fix: enforce format constraints on provider-specific URL parameters Brings the Snowflake, S3 Vectors, Vertex AI, and Bedrock URL construction paths in line with the existing pattern of validating interpolated values before use. --- litellm/llms/bedrock/batches/transformation.py | 4 +++- litellm/llms/s3_vectors/vector_stores/transformation.py | 3 +++ litellm/llms/snowflake/utils.py | 3 +++ litellm/llms/vertex_ai/common_utils.py | 7 +++++-- .../pass_through_endpoints/llm_passthrough_endpoints.py | 5 +++++ 5 files changed, 19 insertions(+), 3 deletions(-) diff --git a/litellm/llms/bedrock/batches/transformation.py b/litellm/llms/bedrock/batches/transformation.py index 5d008038ca9..0602b1c2f62 100644 --- a/litellm/llms/bedrock/batches/transformation.py +++ b/litellm/llms/bedrock/batches/transformation.py @@ -1,4 +1,5 @@ import os +import re import time from typing import Any, Dict, List, Literal, Optional, Union, cast @@ -294,7 +295,8 @@ class BedrockBatchesConfig(BaseAWSLLM, BaseBatchesConfig): raise ValueError(f"Invalid ARN format: {batch_id}") region = arn_parts[3] - # arn_parts[5] contains "model-invocation-job/{jobId}" + if not re.match(r"^[a-z][a-z0-9-]*$", region): + raise ValueError(f"Invalid region in ARN: {batch_id}") # Build the endpoint URL for GetModelInvocationJob # AWS API format: GET /model-invocation-job/{jobIdentifier} diff --git a/litellm/llms/s3_vectors/vector_stores/transformation.py b/litellm/llms/s3_vectors/vector_stores/transformation.py index 11836e361ef..19b59769863 100644 --- a/litellm/llms/s3_vectors/vector_stores/transformation.py +++ b/litellm/llms/s3_vectors/vector_stores/transformation.py @@ -1,3 +1,4 @@ +import re from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union import httpx @@ -66,6 +67,8 @@ class S3VectorsVectorStoreConfig(BaseVectorStoreConfig, BaseAWSLLM): aws_region_name = litellm_params.get("aws_region_name") if not aws_region_name: raise ValueError("aws_region_name is required for S3 Vectors") + if not re.match(r"^[a-z][a-z0-9-]*$", aws_region_name): + raise ValueError("Invalid aws_region_name format") return f"https://s3vectors.{aws_region_name}.api.aws" def transform_search_vector_store_request( diff --git a/litellm/llms/snowflake/utils.py b/litellm/llms/snowflake/utils.py index 9d458f6ece3..d84efdd9fcd 100644 --- a/litellm/llms/snowflake/utils.py +++ b/litellm/llms/snowflake/utils.py @@ -1,3 +1,4 @@ +import re from typing import TYPE_CHECKING, Any, List, Optional, Tuple from litellm.secret_managers.main import get_secret_str @@ -61,6 +62,8 @@ class SnowflakeBaseConfig: account_id = get_secret_str("SNOWFLAKE_ACCOUNT_ID") if account_id is None: raise ValueError("Missing snowflake account_id") + if not re.match(r"^[a-zA-Z0-9_-]+$", account_id): + raise ValueError("Invalid account_id format") api_base = f"https://{account_id}.snowflakecomputing.com/api/v2" api_base = api_base.rstrip("/") diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py index 43e77f4fb75..c13f6a86f83 100644 --- a/litellm/llms/vertex_ai/common_utils.py +++ b/litellm/llms/vertex_ai/common_utils.py @@ -232,8 +232,11 @@ def get_vertex_base_url( """ if vertex_location == "global": return "https://aiplatform.googleapis.com" - else: - return f"https://{vertex_location}-aiplatform.googleapis.com" + if vertex_location is not None and not re.match( + r"^[a-z][a-z0-9-]*$", vertex_location + ): + raise ValueError("Invalid vertex_location format") + return f"https://{vertex_location}-aiplatform.googleapis.com" def _get_embedding_url( diff --git a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py index 1ef866486ec..3cf155739ca 100644 --- a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py +++ b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py @@ -8,6 +8,7 @@ Use litellm with Anthropic SDK, Vertex AI SDK, Cohere SDK, etc. import json import os +import re from typing import Any, Optional, Tuple, Union, cast import httpx @@ -1500,6 +1501,10 @@ def get_vertex_base_url(vertex_location: Optional[str]) -> str: """ if vertex_location == "global": return "https://aiplatform.googleapis.com/" + if vertex_location is not None and not re.match( + r"^[a-z][a-z0-9-]*$", vertex_location + ): + raise ValueError("Invalid vertex_location format") return f"https://{vertex_location}-aiplatform.googleapis.com/" From 5e5a94ac8d436fe191497dd3723d043dac25f5b2 Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Wed, 22 Apr 2026 17:28:05 -0700 Subject: [PATCH 105/165] Surface budget_reset_at on team info and members tab Adds a formatBudgetReset helper (dayjs-based, with validity guard) that renders the next reset as "today" / "in N days" / "on MMM D, YYYY". The team budget card now shows the team's reset timestamp and the member- default reset (when a shared team_member_budget is configured), and the Members tab gains a Budget Reset column per member. --- .../src/components/team/TeamInfo.tsx | 20 +++++++++++++++---- .../src/components/team/TeamMemberTab.tsx | 19 ++++++++++++++++++ ui/litellm-dashboard/src/utils/budgetUtils.ts | 13 ++++++++++++ 3 files changed, 48 insertions(+), 4 deletions(-) create mode 100644 ui/litellm-dashboard/src/utils/budgetUtils.ts diff --git a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx index 4bc7ff3ea8e..04b9b53140d 100644 --- a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx @@ -15,6 +15,7 @@ import { teamUpdateCall, } from "@/components/networking"; import { useGuardrails } from "@/app/(dashboard)/hooks/guardrails/useGuardrails"; +import { formatBudgetReset } from "@/utils/budgetUtils"; import { formatNumberWithCommas } from "@/utils/dataUtils"; import { mapEmptyStringToNull } from "@/utils/keyUpdateUtils"; import { isProxyAdminRole } from "@/utils/roles"; @@ -70,6 +71,7 @@ export interface TeamMembership { rpm_limit: number | null; model_max_budget: Record | null; budget_duration: string | null; + budget_reset_at: string | null; allowed_models?: string[] | null; }; } @@ -120,6 +122,7 @@ export interface TeamData { team_member_budget_table: { max_budget: number; budget_duration: string; + budget_reset_at: string | null; tpm_limit: number | null; rpm_limit: number | null; } | null; @@ -732,12 +735,21 @@ const TeamInfoView: React.FC = ({ of {info.max_budget === null ? "Unlimited" : `$${formatNumberWithCommas(info.max_budget, 4)}`} - {info.budget_duration && Reset: {info.budget_duration}} + {formatBudgetReset(info.budget_reset_at) && ( + Resets {formatBudgetReset(info.budget_reset_at)} + )}
{info.team_member_budget_table && ( - - Team Member Budget: ${formatNumberWithCommas(info.team_member_budget_table.max_budget, 4)} - + <> + + Team Member Budget: ${formatNumberWithCommas(info.team_member_budget_table.max_budget, 4)} + + {formatBudgetReset(info.team_member_budget_table.budget_reset_at) && ( + + Member budgets reset {formatBudgetReset(info.team_member_budget_table.budget_reset_at)} + + )} + )} diff --git a/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx b/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx index 7c9e47d9e1b..e997875968d 100644 --- a/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx @@ -1,6 +1,7 @@ import { useUISettings } from "@/app/(dashboard)/hooks/uiSettings/useUISettings"; import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized"; import { Member } from "@/components/networking"; +import { formatBudgetReset } from "@/utils/budgetUtils"; import { formatNumberWithCommas } from "@/utils/dataUtils"; import { isProxyAdminRole, isUserTeamAdminForSingleTeam } from "@/utils/roles"; import { InfoCircleOutlined } from "@ant-design/icons"; @@ -88,6 +89,12 @@ export default function TeamMemberTab({ return models && models.length > 0 ? models : null; }; + const getUserBudgetReset = (userId: string | null): string | null => { + if (!userId) return null; + const membership = teamData.team_memberships.find((tm) => tm.user_id === userId); + return formatBudgetReset(membership?.litellm_budget_table?.budget_reset_at); + }; + const extraColumns: ColumnsType = [ { title: ( @@ -146,6 +153,18 @@ export default function TeamMemberTab({ ); }, }, + { + title: "Budget Reset", + key: "budget_reset", + render: (_: unknown, record: Member) => { + const reset = getUserBudgetReset(record.user_id); + return reset ? ( + {reset} + ) : ( + — + ); + }, + }, { title: ( diff --git a/ui/litellm-dashboard/src/utils/budgetUtils.ts b/ui/litellm-dashboard/src/utils/budgetUtils.ts new file mode 100644 index 00000000000..ba13528bee1 --- /dev/null +++ b/ui/litellm-dashboard/src/utils/budgetUtils.ts @@ -0,0 +1,13 @@ +import dayjs from "dayjs"; + +export function formatBudgetReset(iso: string | null | undefined): string | null { + if (!iso) return null; + const resetDate = dayjs(iso); + if (!resetDate.isValid()) return null; + + const days = resetDate.diff(dayjs(), "day"); + if (days < 0) return `on ${resetDate.format("MMM D, YYYY")}`; + if (days === 0) return "today"; + if (days < 7) return `in ${days} day${days === 1 ? "" : "s"}`; + return `on ${resetDate.format("MMM D, YYYY")}`; +} From a23edd73b14aab0271349e1c4b811cb08d79f6df Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Wed, 22 Apr 2026 17:33:41 -0700 Subject: [PATCH 106/165] Restore Current Cycle Spend column on team members tab MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds back the per-cycle spend column that was replaced by Total Spend in 331e3f22. Current Cycle Spend reads membership.spend (zeroed on budget_reset_at) — this is the value enforced against the member's budget, so admins need it to see whether a member is approaching their cap for the active window. Total Spend remains for lifetime analytics. --- .../src/components/team/TeamMemberTab.tsx | 22 ++++++++++++++++++- 1 file changed, 21 insertions(+), 1 deletion(-) diff --git a/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx b/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx index e997875968d..1f2046fb90a 100644 --- a/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamMemberTab.tsx @@ -46,6 +46,12 @@ export default function TeamMemberTab({ return "0"; }; + const getUserCurrentCycleSpend = (userId: string | null): number => { + if (!userId) return 0; + const membership = teamData.team_memberships.find((tm) => tm.user_id === userId); + return membership?.spend ?? 0; + }; + const getUserTotalSpend = (userId: string | null): number => { if (!userId) return 0; const membership = teamData.team_memberships.find((tm) => tm.user_id === userId); @@ -127,11 +133,25 @@ export default function TeamMemberTab({ ); }, }, + { + title: ( + + Current Cycle Spend (USD) + + + + + ), + key: "spend", + render: (_: unknown, record: Member) => ( + ${formatNumberWithCommas(getUserCurrentCycleSpend(record.user_id), 4)} + ), + }, { title: ( Total Spend (USD) - + From a292845dcf7d4929b5b842171b659ed31a86b4c8 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 17:40:42 -0700 Subject: [PATCH 107/165] [Fix] Harden spend accuracy test against transient aiohttp connection errors Two changes, both test-only: - Configure the aiohttp session with TCPConnector(force_close=True) and an explicit ClientTimeout(total=30, connect=10). Prevents reuse of idle TCP connections that the proxy/kernel may have closed during the long window between setup POSTs and the later poll loop, and surfaces a blocked proxy event loop quickly instead of hanging on aiohttp's 5-minute default. - In poll_key_spend_until, catch aiohttp.ClientError and asyncio.TimeoutError around the single /key/info call. A transient transport hiccup now logs and retries on the next tick instead of failing the entire polling loop. Addresses the ConnectionTimeoutError observed on the first /key/info call after the 20 chat completions. --- .../test_spend_accuracy_tests.py | 31 +++++++++++++++++-- 1 file changed, 28 insertions(+), 3 deletions(-) diff --git a/tests/spend_tracking_tests/test_spend_accuracy_tests.py b/tests/spend_tracking_tests/test_spend_accuracy_tests.py index 8c523e91919..15e00d93356 100644 --- a/tests/spend_tracking_tests/test_spend_accuracy_tests.py +++ b/tests/spend_tracking_tests/test_spend_accuracy_tests.py @@ -48,6 +48,22 @@ POLL_TIMEOUT_SECONDS = 60 TOLERANCE = 1e-10 +def _make_test_session() -> aiohttp.ClientSession: + """ + Session tuned for CI reliability: + - force_close: avoid aiohttp reusing a TCP connection that the proxy/kernel + silently closed during the long idle window between setup POSTs and the + later poll loop (observed failure mode: ConnectionTimeoutError on the + first /key/info call after 20 chat completions). + - explicit connect timeout: surface a blocked proxy event loop quickly + instead of hanging on aiohttp's 5-minute default total timeout. + """ + return aiohttp.ClientSession( + connector=aiohttp.TCPConnector(force_close=True), + timeout=aiohttp.ClientTimeout(total=30, connect=10), + ) + + async def create_organization(session, organization_alias: str): """Helper function to create a new organization""" url = "http://0.0.0.0:4000/organization/new" @@ -156,7 +172,16 @@ async def poll_key_spend_until(session, key: str, expected: float) -> float: start = time.time() last_spend = 0.0 while time.time() - start < POLL_TIMEOUT_SECONDS: - key_info = await get_spend_info(session, "key", key) + try: + key_info = await get_spend_info(session, "key", key) + except (aiohttp.ClientError, asyncio.TimeoutError) as exc: + print( + f"Transient transport error during spend poll: " + f"{type(exc).__name__}: {exc}. Retrying... " + f"({time.time() - start:.1f}s elapsed)" + ) + await asyncio.sleep(POLL_INTERVAL_SECONDS) + continue last_spend = key_info["info"]["spend"] if abs(last_spend - expected) < TOLERANCE: print( @@ -193,7 +218,7 @@ async def test_basic_spend_accuracy(): """ NUM_LLM_REQUESTS = 20 - async with aiohttp.ClientSession() as session: + async with _make_test_session() as session: await assert_proxy_healthy(session) org_response = await create_organization( @@ -278,7 +303,7 @@ async def test_long_term_spend_accuracy_with_bursts(): BURST_1_REQUESTS = 22 BURST_2_REQUESTS = 12 - async with aiohttp.ClientSession() as session: + async with _make_test_session() as session: await assert_proxy_healthy(session) org_response = await create_organization( From c67d193400eb05779384196fd170079372ad0e56 Mon Sep 17 00:00:00 2001 From: michelligabriele Date: Thu, 23 Apr 2026 03:00:04 +0200 Subject: [PATCH 108/165] fix(docker.non_root): use numeric UID 65534 for K8s runAsNonRoot (#26268) --- docker/Dockerfile.non_root | 2 +- docker/tests/nonroot.yaml | 2 +- .../test_litellm/test_dockerfile_non_root.py | 54 +++++++++++++++++++ 3 files changed, 56 insertions(+), 2 deletions(-) create mode 100644 tests/test_litellm/test_dockerfile_non_root.py diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index e9161676092..3666a850d9c 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -138,7 +138,7 @@ RUN mkdir -p /nonexistent /var/lib/litellm/assets /var/lib/litellm/ui && \ [ -n "$LITELLM_PROXY_EXTRAS_PATH" ] && chmod -R g+w "$LITELLM_PROXY_EXTRAS_PATH" || true && \ chmod -R g+rX "$PRISMA_PATH" /var/lib/litellm/ui /var/lib/litellm/assets /app/.cache -USER nobody +USER 65534 RUN prisma generate --schema=./schema.prisma diff --git a/docker/tests/nonroot.yaml b/docker/tests/nonroot.yaml index 821b1a105ae..36118ca8c59 100644 --- a/docker/tests/nonroot.yaml +++ b/docker/tests/nonroot.yaml @@ -2,7 +2,7 @@ schemaVersion: 2.0.0 metadataTest: entrypoint: ["docker/prod_entrypoint.sh"] - user: "nobody" + user: "65534" workdir: "/app" fileExistenceTests: diff --git a/tests/test_litellm/test_dockerfile_non_root.py b/tests/test_litellm/test_dockerfile_non_root.py new file mode 100644 index 00000000000..694da6368e7 --- /dev/null +++ b/tests/test_litellm/test_dockerfile_non_root.py @@ -0,0 +1,54 @@ +""" +Static checks on docker/Dockerfile.non_root. + +The non_root image is intended for deployment into hardened Kubernetes +clusters where `securityContext.runAsNonRoot: true` is enforced. The +kubelet validates non-root status by parsing the image's USER field as +an integer — a string name like "nobody" is rejected with +CreateContainerConfigError because the kubelet cannot resolve +/etc/passwd inside the image at admission time. +""" + +import os +import re + +import pytest + +DOCKERFILE_PATH = os.path.join( + os.path.dirname(__file__), + "..", + "..", + "docker", + "Dockerfile.non_root", +) + + +def _final_user_directive(dockerfile_text: str) -> str: + """Return the value of the last `USER` directive in the file.""" + matches = re.findall(r"^USER\s+(\S+)\s*$", dockerfile_text, re.MULTILINE) + assert matches, "Dockerfile.non_root has no USER directive" + return matches[-1] + + +@pytest.mark.skipif( + not os.path.exists(DOCKERFILE_PATH), + reason="Dockerfile.non_root not present in this checkout", +) +def test_final_user_directive_is_numeric(): + """The runtime USER must be a numeric UID so kubelet's runAsNonRoot + admission check (strconv.Atoi) succeeds.""" + with open(DOCKERFILE_PATH, "r", encoding="utf-8") as f: + contents = f.read() + + final_user = _final_user_directive(contents) + + assert final_user.isdigit(), ( + f"Dockerfile.non_root final USER is {final_user!r}; must be a numeric UID " + "so Kubernetes' runAsNonRoot admission check can verify non-root status. " + "See https://kubernetes.io/docs/tasks/configure-pod-container/security-context/" + ) + + assert int(final_user) != 0, ( + f"Dockerfile.non_root final USER is {final_user} (root); the non_root image " + "must run as a non-zero UID." + ) From 375bf4d7d67a6f9a1ead0512e90d68c05b12219f Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 18:04:39 -0700 Subject: [PATCH 109/165] fix: tighten file input handling in image edit endpoints Bring string input handling for image/mask parameters in line with the multipart-only contract expected by the image edit endpoint. --- .../image_edit/transformation.py | 12 +++++++----- .../image_edit/vertex_imagen_transformation.py | 17 ++++++++++------- litellm/proxy/image_endpoints/endpoints.py | 7 +++++++ 3 files changed, 24 insertions(+), 12 deletions(-) diff --git a/litellm/llms/black_forest_labs/image_edit/transformation.py b/litellm/llms/black_forest_labs/image_edit/transformation.py index c6d8e8298e3..d05a802d235 100644 --- a/litellm/llms/black_forest_labs/image_edit/transformation.py +++ b/litellm/llms/black_forest_labs/image_edit/transformation.py @@ -14,7 +14,9 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union import httpx from httpx._types import RequestFiles +import litellm from litellm.constants import DEFAULT_MAX_RECURSE_DEPTH +from litellm.litellm_core_utils.url_utils import safe_get from litellm.llms.base_llm.image_edit.transformation import BaseImageEditConfig from litellm.secret_managers.main import get_secret_str from litellm.types.images.main import ImageEditOptionalRequestParams @@ -206,14 +208,14 @@ class BlackForestLabsImageEditConfig(BaseImageEditConfig): ) elif isinstance(image, str): if image.startswith(("http://", "https://")): - # Download image from URL - response = httpx.get(image, timeout=60.0) + response = safe_get(litellm.module_level_client, image, timeout=60.0) response.raise_for_status() return response.content else: - # Assume it's a file path - with open(image, "rb") as f: - return f.read() + raise ValueError( + f"Unsupported image input: plain string values that are not URLs are not accepted. " + "Provide image bytes or a file-like object." + ) elif hasattr(image, "read"): # File-like object pos = getattr(image, "tell", lambda: 0)() diff --git a/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py b/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py index 7979e0e7901..e35b340f0c0 100644 --- a/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py +++ b/litellm/llms/vertex_ai/image_edit/vertex_imagen_transformation.py @@ -348,13 +348,16 @@ class VertexAIImagenImageEditConfig(BaseImageEditConfig, VertexLLM): if stream_pos is not None: image.seek(stream_pos) return data - if isinstance(image, (str, Path)): - path_obj = Path(image) - if not path_obj.exists(): - raise ValueError( - f"Mask/image path does not exist for Vertex AI Imagen image edit: {path_obj}" - ) - return path_obj.read_bytes() + if isinstance(image, str): + raise ValueError( + "Unsupported image input: plain string values are not accepted for " + "Vertex AI Imagen image edit. Provide image bytes or a file-like object." + ) + if isinstance(image, Path): + raise ValueError( + "Unsupported image input: filesystem paths are not accepted for " + "Vertex AI Imagen image edit. Provide image bytes or a file-like object." + ) if hasattr(image, "read"): data = image.read() if isinstance(data, str): diff --git a/litellm/proxy/image_endpoints/endpoints.py b/litellm/proxy/image_endpoints/endpoints.py index 4f994b87f58..fe8b7c6fdc9 100644 --- a/litellm/proxy/image_endpoints/endpoints.py +++ b/litellm/proxy/image_endpoints/endpoints.py @@ -285,6 +285,13 @@ async def image_edit_api( if mask_files: data["mask"] = mask_files + for _field in ("image", "mask"): + if _field in data and isinstance(data[_field], str): + raise HTTPException( + status_code=422, + detail=f"'{_field}' must be provided as a multipart file upload, not a string.", + ) + # Ensure prompt exists in data (default to None for models that don't require it) if "prompt" not in data: data["prompt"] = None From 42342d35fd13814f5a2add22cfe0ebb91589f227 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 18:08:17 -0700 Subject: [PATCH 110/165] fix: remove extraneous f-prefix in ValueError message --- litellm/llms/black_forest_labs/image_edit/transformation.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/litellm/llms/black_forest_labs/image_edit/transformation.py b/litellm/llms/black_forest_labs/image_edit/transformation.py index d05a802d235..eb48b0be80a 100644 --- a/litellm/llms/black_forest_labs/image_edit/transformation.py +++ b/litellm/llms/black_forest_labs/image_edit/transformation.py @@ -213,7 +213,7 @@ class BlackForestLabsImageEditConfig(BaseImageEditConfig): return response.content else: raise ValueError( - f"Unsupported image input: plain string values that are not URLs are not accepted. " + "Unsupported image input: plain string values that are not URLs are not accepted. " "Provide image bytes or a file-like object." ) elif hasattr(image, "read"): From 3ddb3cbdf61071506b2289e1604ace38816a632e Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 18:20:21 -0700 Subject: [PATCH 111/165] =?UTF-8?q?bump:=20version=200.4.67=20=E2=86=92=20?= =?UTF-8?q?0.4.68?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- litellm-proxy-extras/pyproject.toml | 4 ++-- pyproject.toml | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml index 959f9519a7f..65f95dbde78 100644 --- a/litellm-proxy-extras/pyproject.toml +++ b/litellm-proxy-extras/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "litellm-proxy-extras" -version = "0.4.67" +version = "0.4.68" description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package." readme = "README.md" requires-python = ">=3.9" @@ -25,7 +25,7 @@ required-version = "==0.10.9" module-root = "" [tool.commitizen] -version = "0.4.67" +version = "0.4.68" version_files = [ "pyproject.toml:^version", "../pyproject.toml:litellm-proxy-extras==", diff --git a/pyproject.toml b/pyproject.toml index 75aec08c99b..be0fe36335c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -52,7 +52,7 @@ proxy = [ "azure-identity==1.25.2", "azure-storage-blob==12.28.0", "mcp==1.26.0", - "litellm-proxy-extras==0.4.67", + "litellm-proxy-extras==0.4.68", "litellm-enterprise==0.1.38", "RestrictedPython==8.1", "rich==13.9.4", From 9f46d838fd348146add15ba12dd3d2a68bbb0c13 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 18:21:47 -0700 Subject: [PATCH 112/165] =?UTF-8?q?bump:=20version=201.83.11=20=E2=86=92?= =?UTF-8?q?=201.83.12?= 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 be0fe36335c..41334f830fd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "litellm" -version = "1.83.11" +version = "1.83.12" description = "Library to easily interface with LLM API providers" readme = "README.md" requires-python = ">=3.10, <3.14" @@ -236,7 +236,7 @@ source-exclude = [ profile = "black" [tool.commitizen] -version = "1.83.11" +version = "1.83.12" version_files = [ "pyproject.toml:^version", ] From 95fa7678afb9d960d4b134fdf0d655491734f67b Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 18:25:37 -0700 Subject: [PATCH 113/165] uv lock --- uv.lock | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/uv.lock b/uv.lock index 1d449012d94..20f519ca703 100644 --- a/uv.lock +++ b/uv.lock @@ -9,7 +9,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-04-19T01:10:36.69677Z" +exclude-newer = "2026-04-20T01:21:50.985363Z" exclude-newer-span = "P3D" [manifest] @@ -3085,7 +3085,7 @@ wheels = [ [[package]] name = "litellm" -version = "1.83.11" +version = "1.83.12" source = { editable = "." } dependencies = [ { name = "aiohttp" }, @@ -3418,7 +3418,7 @@ source = { editable = "enterprise" } [[package]] name = "litellm-proxy-extras" -version = "0.4.67" +version = "0.4.68" source = { editable = "litellm-proxy-extras" } [[package]] From ac453c958ed438efe1fc63e9d3a315233de99a1e Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Wed, 22 Apr 2026 18:27:36 -0700 Subject: [PATCH 114/165] fix(team): surface budget_reset_at on /team/info and cloned member budgets Two independent bugs both masked budget_reset_at from consumers that needed it: 1. /team/info.team_member_budget_table was typed as LiteLLM_BudgetTable (the user-settable allowlist), which dropped server-managed fields. Switched to LiteLLM_BudgetTableFull so budget_reset_at and created_at are serialized. 2. _clone_team_default_budget_for_member copied the pool's numeric fields but never set budget_reset_at on the cloned row. With budget_duration present but no reset timestamp, the reset job never fires on the member's budget (its query is reset_at <= now, which never matches NULL). Now computes budget_reset_at from the cloned budget_duration via get_budget_reset_time so each member's cycle starts at clone time rather than inheriting the pool's stale reset. --- litellm/proxy/_types.py | 2 +- litellm/proxy/management_helpers/utils.py | 8 ++++++++ 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 84a9c4b7931..f11b29103be 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -3907,7 +3907,7 @@ class OrganizationMemberUpdateResponse(MemberUpdateResponse): class TeamInfoResponseObjectTeamTable(LiteLLM_TeamTable): - team_member_budget_table: Optional[LiteLLM_BudgetTable] = None + team_member_budget_table: Optional[LiteLLM_BudgetTableFull] = None # Resources inherited from access groups (separate from direct assignments) access_group_models: Optional[List[str]] = None access_group_mcp_server_ids: Optional[List[str]] = None diff --git a/litellm/proxy/management_helpers/utils.py b/litellm/proxy/management_helpers/utils.py index 5cf53ae06f5..f2d6e9612ff 100644 --- a/litellm/proxy/management_helpers/utils.py +++ b/litellm/proxy/management_helpers/utils.py @@ -9,6 +9,7 @@ from fastapi import HTTPException, Request import litellm from litellm._logging import verbose_logger from litellm._uuid import uuid +from litellm.proxy.common_utils.timezone_utils import get_budget_reset_time from litellm.proxy._types import ( # key request types; user request types; team request types; customer request types BudgetNewRequest, DeleteCustomerRequest, @@ -192,6 +193,13 @@ async def _clone_team_default_budget_for_member( continue cloned_data[field] = value + # Start the member's budget window at clone time, not the pool's reset + # timestamp — otherwise a member joining mid-cycle inherits a stale reset. + if cloned_data.get("budget_duration"): + cloned_data["budget_reset_at"] = get_budget_reset_time( + cloned_data["budget_duration"] + ) + new_budget = await prisma_client.db.litellm_budgettable.create(data=cloned_data) return new_budget.budget_id From 034f4fdef20fb9b8ab5c63787e2ba764ad4661cc Mon Sep 17 00:00:00 2001 From: sakenuGOD Date: Thu, 23 Apr 2026 05:06:34 +0300 Subject: [PATCH 115/165] fix(mcp_semantic_tool_filter): match tools with client-side namespace prefix (#26078) (#26117) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix(mcp_semantic_tool_filter): match canonical tools that arrive with a client-side namespace prefix. `SemanticMCPToolFilter._get_tools_by_names` matched by exact equality between the canonical name stored in the router (``) and the name in the incoming `tools[]` list. MCP clients such as opencode wrap every tool name with their own additive alias prefix (`_`), so the two never matched, the filter dropped every tool to zero, and the proxy forwarded `tools: []` with `tool_choice: auto` — which strict upstream providers reject with a 400. The fix adds anchored suffix matching with a separator check: the canonical must form the complete tail of the incoming name and be preceded by `_` or `-`. Exact matches still win over suffix matches, incoming tools are returned at most once, and the original tool object is passed through unchanged so the client-facing name survives for tool-call round-trips. Seven unit tests in a new TestGetToolsByNames class cover exact match, underscore- and dash-prefixed variants, non-separator-anchored suffixes (which must not match), exact-wins-over-prefixed precedence, deduplication when two canonicals suffix-match the same incoming tool, and ordering-follows-router-output. Fixes #26078 * review: strengthen the suffix-fallback tie-breaker and the deduplication regression test (Greptile comments on #26117) - test_same_tool_not_returned_twice now passes two distinct canonicals ("read_file" and "file") that both suffix-match the same incoming tool, rather than the same canonical twice, so the assertion actually exercises the used_ids dedup path instead of the duplicate-input-list path. - The suffix fallback in _get_tools_by_names now prefers the shortest incoming name that still qualifies under the separator-anchored match. In the one-prefix-per-client opencode scenario this is a no-op, but in multi-namespace configurations the shortest qualifying name is the least-wrapped one and is the most defensible deterministic choice, replacing the dict-insertion-order fallback. - Adds test_suffix_fallback_prefers_shortest_candidate covering the new tie-breaker directly. Still 15 tests passing locally (was 14). * review(#26117): gate suffix-matching on canonical containing MCP_TOOL_PREFIX_SEPARATOR @krrish-berri-2 flagged a possible collision in the suffix fallback: a local user function whose name happens to end in a bare canonical substring (e.g. my_firecrawl_scrape vs canonical firecrawl_scrape) would be spuriously selected. Server-registered MCP tools are always emitted as via add_server_prefix_to_name, so a canonical without the separator is not a namespaced MCP tool and does not warrant suffix matching. Added that guard to _name_matches_canonical with a regression test (test_does_not_collide_with_local_function_on_unprefixed_canonical) that reproduces the collision before the fix and is pinned after. Pre-existing TestGetToolsByNames fixtures that relied on bare canonicals (get_weather, search, read_file, write/delete/read) were switched to realistic server-prefixed ones so they continue to exercise the suffix-fallback path under the new guard. The opencode scenario (client prefix on already-server-prefixed canonical) is unchanged. --------- Co-authored-by: sakenuGOD Co-authored-by: Krrish Dholakia --- .../mcp_server/semantic_tool_filter.py | 90 ++++++++- .../mcp_server/test_semantic_tool_filter.py | 190 ++++++++++++++++++ 2 files changed, 270 insertions(+), 10 deletions(-) diff --git a/litellm/proxy/_experimental/mcp_server/semantic_tool_filter.py b/litellm/proxy/_experimental/mcp_server/semantic_tool_filter.py index 0e32bfd7026..a9c4d2ece46 100644 --- a/litellm/proxy/_experimental/mcp_server/semantic_tool_filter.py +++ b/litellm/proxy/_experimental/mcp_server/semantic_tool_filter.py @@ -7,6 +7,7 @@ Filters MCP tools semantically for /chat/completions and /responses endpoints. from typing import TYPE_CHECKING, Any, Dict, List, Optional from litellm._logging import verbose_logger +from litellm.proxy._experimental.mcp_server.utils import MCP_TOOL_PREFIX_SEPARATOR if TYPE_CHECKING: from semantic_router.routers import SemanticRouter @@ -214,20 +215,89 @@ class SemanticMCPToolFilter: return [] + @staticmethod + def _name_matches_canonical(client_name: str, canonical: str) -> bool: + """ + Return True if a client-side tool name refers to the given canonical + MCP tool name. + + MCP clients (e.g. opencode) commonly wrap the proxy's canonical tool + name with an additive namespace prefix of their own + (````). The prefix can use either a + dash or an underscore as separator regardless of what + ``MCP_TOOL_PREFIX_SEPARATOR`` is set to on the proxy, because the + client doesn't know the proxy's separator. + + The match is anchored: ``canonical`` must form the complete suffix + of ``client_name`` and be preceded by a separator character, so + ``rain_gear`` does not match canonical ``ear``. + + Suffix matching is additionally gated on ``canonical`` itself + containing ``MCP_TOOL_PREFIX_SEPARATOR``. Server-registered MCP + tools are always emitted as + ```` (see + ``add_server_prefix_to_name``), so a canonical without the + separator is not a namespaced MCP tool and falling back to + suffix matching would spuriously collide with unrelated local + user functions whose names end in the same characters. + """ + if client_name == canonical: + return True + if MCP_TOOL_PREFIX_SEPARATOR not in canonical: + return False + if len(client_name) <= len(canonical): + return False + if not client_name.endswith(canonical): + return False + separator = client_name[-len(canonical) - 1] + return separator in ("_", "-") + def _get_tools_by_names( self, tool_names: List[str], available_tools: List[Any] ) -> List[Any]: - """Get tools from available_tools by their names, preserving order.""" - # Match tools from available_tools (preserves format - dict or MCPTool) - matched_tools = [] - for tool in available_tools: - tool_name, _ = self._extract_tool_info(tool) - if tool_name in tool_names: - matched_tools.append(tool) + """ + Get tools from available_tools by their names, preserving the + semantic router's ordering. - # Reorder to match semantic router's ordering - tool_map = {self._extract_tool_info(t)[0]: t for t in matched_tools} - return [tool_map[name] for name in tool_names if name in tool_map] + Matching is tolerant of client-side namespace prefixes: if an + incoming tool arrived as ``_`` while the + router returned ```` (see + ``_name_matches_canonical``), that tool is still selected. The + returned tool object is the original from ``available_tools``, so + the client-facing name is preserved for tool-call round-trips. + """ + # Build an index of incoming tools by their client-facing name. + # Exact matches win over suffix matches when both are present, and + # each incoming tool is returned at most once even if two canonical + # names happen to be tail-compatible with the same incoming name. + available_by_name: Dict[str, Any] = {} + for tool in available_tools: + client_name, _ = self._extract_tool_info(tool) + if client_name and client_name not in available_by_name: + available_by_name[client_name] = tool + + matched: List[Any] = [] + used_ids: set = set() + for canonical in tool_names: + tool = available_by_name.get(canonical) + if tool is None: + # Prefer the shortest qualifying name. When several + # incoming tools suffix-match the same canonical (e.g. + # "my_search" and "my_tag_search" both end in "search"), + # the one closest in length to the canonical is the + # least-wrapped and most likely the intended target. + best_name: Optional[str] = None + for client_name in available_by_name: + if not self._name_matches_canonical(client_name, canonical): + continue + if best_name is None or len(client_name) < len(best_name): + best_name = client_name + if best_name is not None: + tool = available_by_name[best_name] + if tool is not None and id(tool) not in used_ids: + matched.append(tool) + used_ids.add(id(tool)) + return matched def extract_user_query(self, messages: List[Dict[str, Any]]) -> str: """ diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_semantic_tool_filter.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_semantic_tool_filter.py index 3acd5c112e3..2558df8533b 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_semantic_tool_filter.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_semantic_tool_filter.py @@ -450,3 +450,193 @@ async def test_semantic_filter_hook_skips_no_tools(): # Should return None (no modification) assert result is None, "Hook should skip requests without tools" print("✅ Hook correctly skips requests without tools") + + +class TestGetToolsByNames: + """ + Regression coverage for SemanticMCPToolFilter._get_tools_by_names + name-matching behavior (issue #26078). + + The canonical name stored in the router is what the proxy's MCP + registry emits (e.g. ``fc_web_search-firecrawl_scrape``). Some MCP + clients — notably opencode — wrap every tool name with their own + additive namespace prefix before sending it back in ``tools[]``, so + the incoming name is ``litellm_fc_web_search-firecrawl_scrape``. + + Exact-equality matching against the canonical dropped every such + tool, the proxy forwarded ``tools: []`` with ``tool_choice: auto``, + and strict upstream providers returned 400. + """ + + def _make_filter(self): + from litellm.proxy._experimental.mcp_server.semantic_tool_filter import ( + SemanticMCPToolFilter, + ) + + return SemanticMCPToolFilter( + embedding_model="text-embedding-3-small", + litellm_router_instance=Mock(), + top_k=5, + similarity_threshold=0.3, + enabled=True, + ) + + def test_exact_match_unchanged(self): + """Incoming name equals canonical — the historical path still works.""" + filter_instance = self._make_filter() + available_tools = [ + {"name": "get_weather", "description": "fetch weather"}, + {"name": "send_email", "description": "send mail"}, + ] + + matched = filter_instance._get_tools_by_names( + ["send_email"], available_tools + ) + + assert len(matched) == 1 + assert matched[0]["name"] == "send_email" + + def test_client_prefix_with_underscore_separator(self): + """Client wraps canonical with ``_`` (opencode pattern).""" + filter_instance = self._make_filter() + canonical = "fc_web_search-firecrawl_scrape" + client_name = "litellm_" + canonical + available_tools = [{"name": client_name, "description": "scrape"}] + + matched = filter_instance._get_tools_by_names( + [canonical], available_tools + ) + + assert len(matched) == 1 + # Must return the incoming tool unchanged so the client-facing + # name survives, otherwise tool-call round-trips break client-side. + assert matched[0]["name"] == client_name + + def test_client_prefix_with_dash_separator(self): + """Some clients use dash as alias separator; accept that too.""" + filter_instance = self._make_filter() + canonical = "weather_svc-get_weather" + available_tools = [ + {"name": "mcp-" + canonical, "description": "weather"} + ] + + matched = filter_instance._get_tools_by_names( + [canonical], available_tools + ) + + assert len(matched) == 1 + assert matched[0]["name"] == "mcp-" + canonical + + def test_suffix_without_separator_does_not_match(self): + """ + A bare-substring suffix must not match — ``rain_gear`` is not a + namespaced version of canonical ``ear`` and the user would be + surprised to see it selected. + """ + filter_instance = self._make_filter() + available_tools = [{"name": "rain_gear", "description": "raincoat"}] + + matched = filter_instance._get_tools_by_names(["ear"], available_tools) + + assert matched == [] + + def test_exact_match_preferred_over_prefixed(self): + """ + When both a bare canonical and a client-prefixed variant are + present, the bare one wins so ordering is stable. + """ + filter_instance = self._make_filter() + canonical = "search" + available_tools = [ + {"name": canonical, "description": "plain"}, + {"name": "litellm_" + canonical, "description": "wrapped"}, + ] + + matched = filter_instance._get_tools_by_names( + [canonical], available_tools + ) + + assert len(matched) == 1 + assert matched[0]["name"] == canonical + + def test_same_tool_not_returned_twice(self): + """ + Two distinct canonicals that both suffix-match the same incoming + tool must not produce a duplicate in the output list. + ``fs-read_file`` and ``api-fs-read_file`` are both valid + separator-anchored suffixes of ``litellm_api-fs-read_file``. + """ + filter_instance = self._make_filter() + available_tools = [ + {"name": "litellm_api-fs-read_file", "description": "read"} + ] + + matched = filter_instance._get_tools_by_names( + ["fs-read_file", "api-fs-read_file"], available_tools + ) + + assert len(matched) == 1 + + def test_suffix_fallback_prefers_shortest_candidate(self): + """ + When no exact match exists and several incoming tools + suffix-match the same canonical, the one closest in length to + the canonical (i.e. the least-wrapped) should be chosen. + """ + filter_instance = self._make_filter() + canonical = "svc-search" + available_tools = [ + {"name": "my_tag_" + canonical, "description": "tag search"}, + {"name": "my_" + canonical, "description": "plain search"}, + ] + + matched = filter_instance._get_tools_by_names( + [canonical], available_tools + ) + + assert len(matched) == 1 + assert matched[0]["name"] == "my_" + canonical + + def test_ordering_follows_router_output(self): + """Returned tools follow the order the semantic router chose.""" + filter_instance = self._make_filter() + available_tools = [ + {"name": "litellm_fs-read", "description": "read"}, + {"name": "litellm_fs-write", "description": "write"}, + {"name": "litellm_fs-delete", "description": "delete"}, + ] + + matched = filter_instance._get_tools_by_names( + ["fs-write", "fs-delete", "fs-read"], available_tools + ) + + names = [t["name"] for t in matched] + assert names == [ + "litellm_fs-write", + "litellm_fs-delete", + "litellm_fs-read", + ] + + def test_does_not_collide_with_local_function_on_unprefixed_canonical(self): + """ + Guard against the collision @krrish-berri-2 flagged on #26117: + if the canonical name from the router is not server-prefixed + (i.e. does not contain ``MCP_TOOL_PREFIX_SEPARATOR``), suffix + matching must not kick in. Otherwise an unrelated local user + function whose name happens to end in the canonical substring + would be spuriously selected. + """ + filter_instance = self._make_filter() + available_tools = [ + { + "name": "my_firecrawl_scrape", + "description": "unrelated local function", + }, + ] + + matched = filter_instance._get_tools_by_names( + ["firecrawl_scrape"], # no MCP_TOOL_PREFIX_SEPARATOR in canonical + available_tools, + ) + + assert matched == [] From b42b86df7a428cc6b3d628eaf313a513c0fe4c34 Mon Sep 17 00:00:00 2001 From: Vigilans Date: Thu, 23 Apr 2026 10:19:54 +0800 Subject: [PATCH 116/165] fix(adapter): normalize reasoning effort with graceful degradation (#26111) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix(model-info): include reasoning effort support fields in get_model_info _get_model_info_helper constructs ModelInfoBase explicitly but never reads supports_xhigh/minimal/none_reasoning_effort from the cost map JSON. Add the three fields so get_model_info() returns them correctly. Also add supports_minimal_reasoning_effort to the ModelInfo TypedDict (xhigh and none were already declared, minimal was missing). * fix(model-registry): add missing reasoning effort fields for claude 4.6/4.7 Claude Opus 4.7 supports max reasoning effort (above xhigh). The field was present for Opus 4.6 but missing for all Opus 4.7 entries (base, dated, Bedrock, Vertex AI, Azure AI). All Claude 4.6/4.7 models (Opus 4.6, Sonnet 4.6, Opus 4.7) support minimal reasoning effort via adaptive thinking. Add the field to all provider variants. * fix(adapter): map output_config.effort to reasoning_effort (#25079) Anthropic's adaptive thinking (thinking.type="adaptive") and output_config.effort were silently dropped when translating to OpenAI format, resulting in no reasoning_effort on the outgoing request. Adapter changes (format translation): - adapters/transformation.py: add "adaptive" branch to translate_anthropic_thinking_to_reasoning_effort(); pass through output_config.effort as-is in _translate_thinking_to_openai(); add "output_config" to translatable_anthropic_params - adapters/handler.py: extract output_config from extra_kwargs into request_data so it reaches the translation layer - responses_adapters/transformation.py: add "adaptive" branch and output_config param to translate_thinking_to_reasoning() Handler changes (model-aware normalization): - utils.py: add normalize_reasoning_effort_value() that uses get_model_info() to map "max" → "xhigh"/"high" and "minimal" → "minimal"/"low" based on model capabilities - adapters/handler.py: call normalization before responses routing - responses_adapters/handler.py: call normalization after translation Relates to BerriAI/litellm#25079 * test(reasoning-effort): add tests for effort capability fields and normalize logic Test coverage for: - get_model_info returning supports_minimal/max_reasoning_effort fields - JSON registry entries for claude 4.6/4.7 across all providers - normalize_reasoning_effort_value degradation chains and exception fallback - Adapter translation of adaptive thinking + output_config.effort * fix: forward custom_llm_provider to normalize_reasoning_effort_value in responses adapter --- .../adapters/handler.py | 52 ++++ .../adapters/transformation.py | 12 + .../responses_adapters/handler.py | 17 ++ .../responses_adapters/transformation.py | 40 ++- .../experimental_pass_through/utils.py | 44 +++ ...odel_prices_and_context_window_backup.json | 106 +++++-- litellm/types/utils.py | 2 + litellm/utils.py | 6 + model_prices_and_context_window.json | 106 +++++-- .../test_reasoning_effort_fields.py | 287 ++++++++++++++++++ 10 files changed, 598 insertions(+), 74 deletions(-) create mode 100644 tests/test_litellm/llms/anthropic/experimental_pass_through/test_reasoning_effort_fields.py diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py index 897ca3bf893..d16f5afb45c 100644 --- a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py +++ b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py @@ -106,6 +106,44 @@ class LiteLLMMessagesToCompletionTransformationHandler: updated_reasoning_effort["summary"] = effective_summary completion_kwargs["reasoning_effort"] = updated_reasoning_effort + @staticmethod + def _normalize_reasoning_effort( + completion_kwargs: Dict[str, Any], + ) -> None: + """ + Normalize reasoning_effort values based on target model capabilities. + + Handles both string ("max") and dict ({"effort": "max", "summary": ...}) + formats. Uses model registry to check supports_xhigh/supports_minimal. + """ + from litellm.llms.anthropic.experimental_pass_through.utils import ( + normalize_reasoning_effort_value, + ) + + reasoning_effort = completion_kwargs.get("reasoning_effort") + if reasoning_effort is None: + return + + model = cast(str, completion_kwargs.get("model", "")) + custom_llm_provider = completion_kwargs.get("custom_llm_provider") + + if isinstance(reasoning_effort, str): + normalized = normalize_reasoning_effort_value( + reasoning_effort, model=model, custom_llm_provider=custom_llm_provider + ) + if normalized != reasoning_effort: + completion_kwargs["reasoning_effort"] = normalized + elif isinstance(reasoning_effort, dict) and "effort" in reasoning_effort: + effort = reasoning_effort["effort"] + normalized = normalize_reasoning_effort_value( + effort, model=model, custom_llm_provider=custom_llm_provider + ) + if normalized != effort: + completion_kwargs["reasoning_effort"] = { + **reasoning_effort, + "effort": normalized, + } + @staticmethod def _prepare_completion_kwargs( *, @@ -163,6 +201,12 @@ class LiteLLMMessagesToCompletionTransformationHandler: if output_format: request_data["output_format"] = output_format + # Extract output_config from extra_kwargs so the translator can use it + # (e.g. output_config.effort for adaptive thinking → reasoning_effort) + extra_kwargs = extra_kwargs or {} + if "output_config" in extra_kwargs: + request_data["output_config"] = extra_kwargs["output_config"] + ( openai_request, tool_name_mapping, @@ -202,6 +246,14 @@ class LiteLLMMessagesToCompletionTransformationHandler: ): completion_kwargs[key] = value + # Normalize reasoning_effort based on model capabilities + # (e.g. "max" → "xhigh"/"high", "minimal" → "low" if unsupported) + # Must run BEFORE _route_openai_thinking, which prepends "responses/" + # to the model name and would break get_model_info() lookups. + LiteLLMMessagesToCompletionTransformationHandler._normalize_reasoning_effort( + completion_kwargs + ) + LiteLLMMessagesToCompletionTransformationHandler._route_openai_thinking_to_responses_api_if_needed( completion_kwargs, thinking=thinking, diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py index 072ae7c3bbe..e5d2b4ce782 100644 --- a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py @@ -317,6 +317,7 @@ class LiteLLMAnthropicMessagesAdapter: "tools", "thinking", "output_format", + "output_config", ] def _is_web_search_tool(self, tool: Dict[str, Any]) -> bool: @@ -694,6 +695,11 @@ class LiteLLMAnthropicMessagesAdapter: return "low" else: return "minimal" + elif thinking_type == "adaptive": + # Adaptive thinking: effort is controlled by output_config.effort, + # not budget_tokens. Return a default; caller should override with + # output_config.effort when available. + return "medium" return None @@ -1041,6 +1047,12 @@ class LiteLLMAnthropicMessagesAdapter: if not reasoning_effort: return + # For adaptive thinking, override with output_config.effort if available + if isinstance(thinking, dict) and thinking.get("type") == "adaptive": + output_config = anthropic_message_request.get("output_config") + if isinstance(output_config, dict) and output_config.get("effort"): + reasoning_effort = output_config["effort"] + summary = thinking.get("summary") if isinstance(thinking, dict) else None auto_summary = is_reasoning_auto_summary_enabled() if summary: diff --git a/litellm/llms/anthropic/experimental_pass_through/responses_adapters/handler.py b/litellm/llms/anthropic/experimental_pass_through/responses_adapters/handler.py index 198ebe1ff8c..5be16dcbf16 100644 --- a/litellm/llms/anthropic/experimental_pass_through/responses_adapters/handler.py +++ b/litellm/llms/anthropic/experimental_pass_through/responses_adapters/handler.py @@ -72,6 +72,23 @@ def _build_responses_kwargs( anthropic_request = AnthropicMessagesRequest(**request_data) # type: ignore[typeddict-item] responses_kwargs = _ADAPTER.translate_request(anthropic_request) + # Normalize reasoning effort based on model capabilities + # (e.g. "max" → "xhigh"/"high", "minimal" → "low" if unsupported) + reasoning = responses_kwargs.get("reasoning") + if isinstance(reasoning, dict) and "effort" in reasoning: + from litellm.llms.anthropic.experimental_pass_through.utils import ( + normalize_reasoning_effort_value, + ) + + effort = reasoning["effort"] + normalized = normalize_reasoning_effort_value( + effort, + model=model, + custom_llm_provider=(extra_kwargs or {}).get("custom_llm_provider"), + ) + if normalized != effort: + responses_kwargs["reasoning"] = {**reasoning, "effort": normalized} + if stream: responses_kwargs["stream"] = True diff --git a/litellm/llms/anthropic/experimental_pass_through/responses_adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/responses_adapters/transformation.py index 913470e7088..2badc2a3276 100644 --- a/litellm/llms/anthropic/experimental_pass_through/responses_adapters/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/responses_adapters/transformation.py @@ -251,25 +251,41 @@ class LiteLLMAnthropicToResponsesAPIAdapter: @staticmethod def translate_thinking_to_reasoning( - thinking: Dict[str, Any] + thinking: Dict[str, Any], + output_config: Optional[Dict[str, Any]] = None, ) -> Optional[Dict[str, Any]]: """ Convert Anthropic thinking param to Responses API reasoning param. thinking.budget_tokens maps to reasoning effort: >= 10000 -> high, >= 5000 -> medium, >= 2000 -> low, < 2000 -> minimal + + For adaptive thinking, uses output_config.effort if available, + otherwise defaults to medium. """ - if not isinstance(thinking, dict) or thinking.get("type") != "enabled": + if not isinstance(thinking, dict): return None - budget = thinking.get("budget_tokens", 0) - if budget >= 10000: - effort = "high" - elif budget >= 5000: + + thinking_type = thinking.get("type") + + if thinking_type == "adaptive": + # Use output_config.effort if available effort = "medium" - elif budget >= 2000: - effort = "low" + if isinstance(output_config, dict) and output_config.get("effort"): + effort = output_config["effort"] + elif thinking_type == "enabled": + budget = thinking.get("budget_tokens", 0) + if budget >= 10000: + effort = "high" + elif budget >= 5000: + effort = "medium" + elif budget >= 2000: + effort = "low" + else: + effort = "minimal" else: - effort = "minimal" + return None + auto_summary = is_reasoning_auto_summary_enabled() result: Dict[str, Any] = {"effort": effort} summary = thinking.get("summary") @@ -346,7 +362,11 @@ class LiteLLMAnthropicToResponsesAPIAdapter: # thinking -> reasoning thinking = anthropic_request.get("thinking") if isinstance(thinking, dict): - reasoning = self.translate_thinking_to_reasoning(thinking) + output_config = anthropic_request.get("output_config") + reasoning = self.translate_thinking_to_reasoning( + thinking, + output_config=cast(Optional[Dict[str, Any]], output_config), + ) if reasoning: responses_kwargs["reasoning"] = reasoning diff --git a/litellm/llms/anthropic/experimental_pass_through/utils.py b/litellm/llms/anthropic/experimental_pass_through/utils.py index 6c1db6017b2..d975bee0bc2 100644 --- a/litellm/llms/anthropic/experimental_pass_through/utils.py +++ b/litellm/llms/anthropic/experimental_pass_through/utils.py @@ -1,4 +1,5 @@ import os +from typing import Optional import litellm @@ -9,3 +10,46 @@ def is_reasoning_auto_summary_enabled() -> bool: litellm.reasoning_auto_summary or os.getenv("LITELLM_REASONING_AUTO_SUMMARY", "false").lower() == "true" ) + + +def normalize_reasoning_effort_value( + effort: str, + model: str, + custom_llm_provider: Optional[str] = None, +) -> str: + """ + Normalize a reasoning effort value based on model capabilities. + + Degradation chains: + - "max" → max / xhigh / high + - "xhigh" → xhigh / high + - "minimal" → minimal / low + - other values pass through unchanged + """ + if effort not in ("max", "xhigh", "minimal"): + return effort + + from litellm.utils import get_model_info + + try: + model_info = get_model_info( + model=model, custom_llm_provider=custom_llm_provider + ) + except Exception: + model_info = {} + + if effort == "max": + if model_info.get("supports_max_reasoning_effort"): + return "max" + if model_info.get("supports_xhigh_reasoning_effort"): + return "xhigh" + return "high" + elif effort == "xhigh": + if model_info.get("supports_xhigh_reasoning_effort"): + return "xhigh" + return "high" + elif effort == "minimal": + if model_info.get("supports_minimal_reasoning_effort"): + return "minimal" + return "low" + return "medium" diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 04b68b8f4ec..05b59d45f99 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -1006,7 +1006,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "global.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.25e-06, @@ -1034,7 +1035,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "us.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.875e-06, @@ -1062,7 +1064,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "eu.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.875e-06, @@ -1090,7 +1093,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "au.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.875e-06, @@ -1118,7 +1122,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, @@ -1146,7 +1151,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "global.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, @@ -1174,7 +1181,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "us.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.875e-06, @@ -1202,7 +1211,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "eu.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.875e-06, @@ -1230,7 +1241,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "au.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.875e-06, @@ -1258,7 +1271,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 3.75e-06, @@ -1285,7 +1300,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "global.anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 3.75e-06, @@ -1312,7 +1328,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "us.anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 4.125e-06, @@ -1339,7 +1356,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "eu.anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 4.125e-06, @@ -1366,7 +1384,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "au.anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 4.125e-06, @@ -1393,7 +1412,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "anthropic.claude-sonnet-4-20250514-v1:0": { "cache_creation_input_token_cost": 3.75e-06, @@ -1911,7 +1931,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 159, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "azure_ai/claude-opus-4-7": { "input_cost_per_token": 5e-06, @@ -1939,7 +1960,9 @@ "supports_tool_choice": true, "supports_vision": true, "supports_xhigh_reasoning_effort": true, - "tool_use_system_prompt_tokens": 159 + "tool_use_system_prompt_tokens": 159, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "azure_ai/claude-opus-4-1": { "cache_creation_input_token_cost": 1.875e-05, @@ -2003,7 +2026,8 @@ "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_minimal_reasoning_effort": true }, "azure/computer-use-preview": { "input_cost_per_token": 3e-06, @@ -8909,7 +8933,8 @@ "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_minimal_reasoning_effort": true }, "claude-sonnet-4-5-20250929-v1:0": { "cache_creation_input_token_cost": 3.75e-06, @@ -9103,7 +9128,8 @@ "us": 1.1, "fast": 6.0 }, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "claude-opus-4-6-20260205": { "cache_creation_input_token_cost": 6.25e-06, @@ -9135,7 +9161,8 @@ "us": 1.1, "fast": 6.0 }, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, @@ -9167,7 +9194,9 @@ "provider_specific_entry": { "us": 1.1, "fast": 6.0 - } + }, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "claude-opus-4-7-20260416": { "cache_creation_input_token_cost": 6.25e-06, @@ -9199,7 +9228,9 @@ "provider_specific_entry": { "us": 1.1, "fast": 6.0 - } + }, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "claude-sonnet-4-20250514": { "deprecation_date": "2026-05-14", @@ -25052,7 +25083,8 @@ "supports_reasoning": true, "supports_tool_choice": true, "supports_vision": true, - "tool_use_system_prompt_tokens": 159 + "tool_use_system_prompt_tokens": 159, + "supports_minimal_reasoning_effort": true }, "openrouter/anthropic/claude-opus-4.5": { "cache_creation_input_token_cost": 6.25e-06, @@ -25090,7 +25122,8 @@ "supports_reasoning": true, "supports_tool_choice": true, "supports_vision": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_minimal_reasoning_effort": true }, "openrouter/anthropic/claude-sonnet-4.5": { "input_cost_per_image": 0.0048, @@ -30118,7 +30151,8 @@ "supports_reasoning": true, "supports_response_schema": true, "supports_tool_choice": true, - "supports_vision": true + "supports_vision": true, + "supports_minimal_reasoning_effort": true }, "vercel_ai_gateway/anthropic/claude-sonnet-4": { "cache_creation_input_token_cost": 3.75e-06, @@ -31345,7 +31379,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-opus-4-6@default": { "cache_creation_input_token_cost": 6.25e-06, @@ -31372,7 +31407,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, @@ -31399,7 +31435,9 @@ "supports_tool_choice": true, "supports_vision": true, "supports_xhigh_reasoning_effort": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-opus-4-7@default": { "cache_creation_input_token_cost": 6.25e-06, @@ -31426,7 +31464,9 @@ "supports_tool_choice": true, "supports_vision": true, "supports_xhigh_reasoning_effort": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-sonnet-4-5": { "cache_creation_input_token_cost": 3.75e-06, @@ -31478,7 +31518,8 @@ "search_context_size_high": 0.01, "search_context_size_low": 0.01, "search_context_size_medium": 0.01 - } + }, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-sonnet-4-5@20250929": { "cache_creation_input_token_cost": 3.75e-06, @@ -38345,7 +38386,8 @@ "search_context_size_high": 0.01, "search_context_size_low": 0.01, "search_context_size_medium": 0.01 - } + }, + "supports_minimal_reasoning_effort": true }, "duckduckgo/search": { "litellm_provider": "duckduckgo", diff --git a/litellm/types/utils.py b/litellm/types/utils.py index e3058d106a6..c347956cba7 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -139,7 +139,9 @@ class ProviderSpecificModelInfo(TypedDict, total=False): supports_reasoning: Optional[bool] supports_url_context: Optional[bool] supports_none_reasoning_effort: Optional[bool] + supports_minimal_reasoning_effort: Optional[bool] supports_xhigh_reasoning_effort: Optional[bool] + supports_max_reasoning_effort: Optional[bool] class SearchContextCostPerQuery(TypedDict, total=False): diff --git a/litellm/utils.py b/litellm/utils.py index c4aee792972..7a9f62afa09 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -5893,9 +5893,15 @@ def _get_model_info_helper( # noqa: PLR0915 supports_none_reasoning_effort=_model_info.get( "supports_none_reasoning_effort", None ), + supports_minimal_reasoning_effort=_model_info.get( + "supports_minimal_reasoning_effort", None + ), supports_xhigh_reasoning_effort=_model_info.get( "supports_xhigh_reasoning_effort", None ), + supports_max_reasoning_effort=_model_info.get( + "supports_max_reasoning_effort", None + ), supports_computer_use=_model_info.get("supports_computer_use", None), search_context_cost_per_query=_model_info.get( "search_context_cost_per_query", None diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 386532f07a3..8a28235f985 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -1006,7 +1006,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "global.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.25e-06, @@ -1034,7 +1035,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "us.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.875e-06, @@ -1062,7 +1064,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "eu.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.875e-06, @@ -1090,7 +1093,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "au.anthropic.claude-opus-4-6-v1": { "cache_creation_input_token_cost": 6.875e-06, @@ -1118,7 +1122,8 @@ "supports_vision": true, "tool_use_system_prompt_tokens": 346, "supports_native_structured_output": true, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, @@ -1146,7 +1151,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "anthropic.claude-mythos-preview": { "input_cost_per_token": 0, @@ -1188,7 +1195,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "us.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.875e-06, @@ -1216,7 +1225,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "eu.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.875e-06, @@ -1244,7 +1255,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "au.anthropic.claude-opus-4-7": { "cache_creation_input_token_cost": 6.875e-06, @@ -1272,7 +1285,9 @@ "supports_vision": true, "supports_xhigh_reasoning_effort": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 3.75e-06, @@ -1299,7 +1314,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "global.anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 3.75e-06, @@ -1326,7 +1342,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "us.anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 4.125e-06, @@ -1353,7 +1370,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "eu.anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 4.125e-06, @@ -1380,7 +1398,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "au.anthropic.claude-sonnet-4-6": { "cache_creation_input_token_cost": 4.125e-06, @@ -1407,7 +1426,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_native_structured_output": true + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true }, "anthropic.claude-sonnet-4-20250514-v1:0": { "cache_creation_input_token_cost": 3.75e-06, @@ -1925,7 +1945,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 159, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "azure_ai/claude-opus-4-7": { "input_cost_per_token": 5e-06, @@ -1953,7 +1974,9 @@ "supports_tool_choice": true, "supports_vision": true, "supports_xhigh_reasoning_effort": true, - "tool_use_system_prompt_tokens": 159 + "tool_use_system_prompt_tokens": 159, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "azure_ai/claude-opus-4-1": { "cache_creation_input_token_cost": 1.875e-05, @@ -2017,7 +2040,8 @@ "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_minimal_reasoning_effort": true }, "azure/computer-use-preview": { "input_cost_per_token": 3e-06, @@ -8923,7 +8947,8 @@ "supports_response_schema": true, "supports_tool_choice": true, "supports_vision": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_minimal_reasoning_effort": true }, "claude-sonnet-4-5-20250929-v1:0": { "cache_creation_input_token_cost": 3.75e-06, @@ -9117,7 +9142,8 @@ "us": 1.1, "fast": 6.0 }, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "claude-opus-4-6-20260205": { "cache_creation_input_token_cost": 6.25e-06, @@ -9149,7 +9175,8 @@ "us": 1.1, "fast": 6.0 }, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, @@ -9181,7 +9208,9 @@ "provider_specific_entry": { "us": 1.1, "fast": 6.0 - } + }, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "claude-opus-4-7-20260416": { "cache_creation_input_token_cost": 6.25e-06, @@ -9213,7 +9242,9 @@ "provider_specific_entry": { "us": 1.1, "fast": 6.0 - } + }, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "claude-sonnet-4-20250514": { "deprecation_date": "2026-05-14", @@ -25066,7 +25097,8 @@ "supports_reasoning": true, "supports_tool_choice": true, "supports_vision": true, - "tool_use_system_prompt_tokens": 159 + "tool_use_system_prompt_tokens": 159, + "supports_minimal_reasoning_effort": true }, "openrouter/anthropic/claude-opus-4.5": { "cache_creation_input_token_cost": 6.25e-06, @@ -25104,7 +25136,8 @@ "supports_reasoning": true, "supports_tool_choice": true, "supports_vision": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_minimal_reasoning_effort": true }, "openrouter/anthropic/claude-sonnet-4.5": { "input_cost_per_image": 0.0048, @@ -30132,7 +30165,8 @@ "supports_reasoning": true, "supports_response_schema": true, "supports_tool_choice": true, - "supports_vision": true + "supports_vision": true, + "supports_minimal_reasoning_effort": true }, "vercel_ai_gateway/anthropic/claude-sonnet-4": { "cache_creation_input_token_cost": 3.75e-06, @@ -31359,7 +31393,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-opus-4-6@default": { "cache_creation_input_token_cost": 6.25e-06, @@ -31386,7 +31421,8 @@ "supports_tool_choice": true, "supports_vision": true, "tool_use_system_prompt_tokens": 346, - "supports_max_reasoning_effort": true + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-opus-4-7": { "cache_creation_input_token_cost": 6.25e-06, @@ -31413,7 +31449,9 @@ "supports_tool_choice": true, "supports_vision": true, "supports_xhigh_reasoning_effort": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-opus-4-7@default": { "cache_creation_input_token_cost": 6.25e-06, @@ -31440,7 +31478,9 @@ "supports_tool_choice": true, "supports_vision": true, "supports_xhigh_reasoning_effort": true, - "tool_use_system_prompt_tokens": 346 + "tool_use_system_prompt_tokens": 346, + "supports_max_reasoning_effort": true, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-sonnet-4-5": { "cache_creation_input_token_cost": 3.75e-06, @@ -31492,7 +31532,8 @@ "search_context_size_high": 0.01, "search_context_size_low": 0.01, "search_context_size_medium": 0.01 - } + }, + "supports_minimal_reasoning_effort": true }, "vertex_ai/claude-sonnet-4-5@20250929": { "cache_creation_input_token_cost": 3.75e-06, @@ -38386,7 +38427,8 @@ "search_context_size_high": 0.01, "search_context_size_low": 0.01, "search_context_size_medium": 0.01 - } + }, + "supports_minimal_reasoning_effort": true }, "duckduckgo/search": { "litellm_provider": "duckduckgo", diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/test_reasoning_effort_fields.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/test_reasoning_effort_fields.py new file mode 100644 index 00000000000..d42d109f21b --- /dev/null +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/test_reasoning_effort_fields.py @@ -0,0 +1,287 @@ +""" +Tests for reasoning effort capability fields and normalize_reasoning_effort_value. + +Covers: +- Commit 1: get_model_info returns supports_minimal/supports_max fields +- Commit 2: Model registry entries have correct reasoning effort fields +- Commit 3: normalize_reasoning_effort_value degradation chains + adapter translation +""" + +import json +import os +from typing import Any, Dict, Optional +from unittest.mock import patch + +import pytest + +from litellm.llms.anthropic.experimental_pass_through.utils import ( + normalize_reasoning_effort_value, +) +from litellm.utils import get_model_info + + +def _load_model_registry() -> Dict[str, Any]: + """Load the root model_prices_and_context_window.json.""" + json_path = os.path.join( + os.path.dirname(__file__), + "../../../../../model_prices_and_context_window.json", + ) + with open(json_path) as f: + return json.load(f) + + +# --------------------------------------------------------------------------- +# Commit 1: get_model_info returns supports_minimal and supports_max fields +# --------------------------------------------------------------------------- + + +class TestGetModelInfoReasoningEffortFields: + """get_model_info should expose supports_minimal_reasoning_effort and + supports_max_reasoning_effort from the model registry.""" + + def test_opus_4_6_has_supports_minimal(self): + info = get_model_info("claude-opus-4-6") + assert "supports_minimal_reasoning_effort" in info + + def test_opus_4_6_has_supports_max(self): + info = get_model_info("claude-opus-4-6") + assert "supports_max_reasoning_effort" in info + + def test_opus_4_7_has_supports_minimal(self): + info = get_model_info("claude-opus-4-7") + assert "supports_minimal_reasoning_effort" in info + + def test_opus_4_7_has_supports_max(self): + info = get_model_info("claude-opus-4-7") + assert "supports_max_reasoning_effort" in info + + +# --------------------------------------------------------------------------- +# Commit 2: JSON registry has correct reasoning effort fields +# --------------------------------------------------------------------------- + + +class TestModelRegistryReasoningEffortFields: + """Verify specific models have the expected reasoning effort capability + values in the JSON registry file.""" + + @pytest.fixture(autouse=True) + def _load_registry(self): + self.registry = _load_model_registry() + + def test_opus_4_7_supports_max(self): + entry = self.registry["claude-opus-4-7"] + assert entry.get("supports_max_reasoning_effort") is True + + def test_opus_4_6_supports_max(self): + entry = self.registry["claude-opus-4-6"] + assert entry.get("supports_max_reasoning_effort") is True + + def test_opus_4_7_supports_minimal(self): + entry = self.registry["claude-opus-4-7"] + assert entry.get("supports_minimal_reasoning_effort") is True + + def test_opus_4_6_supports_minimal(self): + entry = self.registry["claude-opus-4-6"] + assert entry.get("supports_minimal_reasoning_effort") is True + + def test_sonnet_4_6_supports_minimal(self): + entry = self.registry["anthropic.claude-sonnet-4-6"] + assert entry.get("supports_minimal_reasoning_effort") is True + + def test_bedrock_opus_4_7_supports_max(self): + entry = self.registry["anthropic.claude-opus-4-7"] + assert entry.get("supports_max_reasoning_effort") is True + assert entry.get("supports_minimal_reasoning_effort") is True + + def test_vertex_opus_4_7_supports_max(self): + entry = self.registry["vertex_ai/claude-opus-4-7"] + assert entry.get("supports_max_reasoning_effort") is True + assert entry.get("supports_minimal_reasoning_effort") is True + + def test_vertex_opus_4_6_supports_max(self): + entry = self.registry["vertex_ai/claude-opus-4-6"] + assert entry.get("supports_max_reasoning_effort") is True + assert entry.get("supports_minimal_reasoning_effort") is True + + def test_azure_ai_opus_4_6_supports_minimal(self): + entry = self.registry["azure_ai/claude-opus-4-6"] + assert entry.get("supports_minimal_reasoning_effort") is True + + def test_azure_ai_opus_4_7_supports_max(self): + entry = self.registry["azure_ai/claude-opus-4-7"] + assert entry.get("supports_max_reasoning_effort") is True + assert entry.get("supports_minimal_reasoning_effort") is True + + +# --------------------------------------------------------------------------- +# Commit 3: normalize_reasoning_effort_value +# --------------------------------------------------------------------------- + + +def _mock_model_info(**flags): + """Return a mock model_info dict with given capability flags.""" + return flags + + +class TestNormalizeReasoningEffortValue: + """Test degradation chains for normalize_reasoning_effort_value.""" + + # --- "max" degradation chain --- + + def test_max_stays_max_when_supported(self): + with patch( + "litellm.utils.get_model_info", + return_value=_mock_model_info( + supports_max_reasoning_effort=True, + supports_xhigh_reasoning_effort=True, + ), + ): + assert normalize_reasoning_effort_value("max", model="test") == "max" + + def test_max_degrades_to_xhigh(self): + with patch( + "litellm.utils.get_model_info", + return_value=_mock_model_info( + supports_max_reasoning_effort=False, + supports_xhigh_reasoning_effort=True, + ), + ): + assert normalize_reasoning_effort_value("max", model="test") == "xhigh" + + def test_max_degrades_to_high(self): + with patch( + "litellm.utils.get_model_info", + return_value=_mock_model_info( + supports_max_reasoning_effort=False, + supports_xhigh_reasoning_effort=False, + ), + ): + assert normalize_reasoning_effort_value("max", model="test") == "high" + + # --- "xhigh" degradation chain --- + + def test_xhigh_stays_xhigh_when_supported(self): + with patch( + "litellm.utils.get_model_info", + return_value=_mock_model_info(supports_xhigh_reasoning_effort=True), + ): + assert normalize_reasoning_effort_value("xhigh", model="test") == "xhigh" + + def test_xhigh_degrades_to_high(self): + with patch( + "litellm.utils.get_model_info", + return_value=_mock_model_info(supports_xhigh_reasoning_effort=False), + ): + assert normalize_reasoning_effort_value("xhigh", model="test") == "high" + + # --- "minimal" degradation chain --- + + def test_minimal_stays_minimal_when_supported(self): + with patch( + "litellm.utils.get_model_info", + return_value=_mock_model_info(supports_minimal_reasoning_effort=True), + ): + assert ( + normalize_reasoning_effort_value("minimal", model="test") == "minimal" + ) + + def test_minimal_degrades_to_low(self): + with patch( + "litellm.utils.get_model_info", + return_value=_mock_model_info(supports_minimal_reasoning_effort=False), + ): + assert normalize_reasoning_effort_value("minimal", model="test") == "low" + + # --- passthrough values --- + + def test_high_passes_through(self): + assert normalize_reasoning_effort_value("high", model="test") == "high" + + def test_medium_passes_through(self): + assert normalize_reasoning_effort_value("medium", model="test") == "medium" + + def test_low_passes_through(self): + assert normalize_reasoning_effort_value("low", model="test") == "low" + + # --- exception fallback --- + + def test_exception_fallback_uses_empty_model_info(self): + """When get_model_info raises, treat model_info as {} (no capabilities).""" + with patch( + "litellm.utils.get_model_info", + side_effect=Exception("model not found"), + ): + # "max" with no capabilities -> "high" + assert normalize_reasoning_effort_value("max", model="unknown") == "high" + # "minimal" with no capabilities -> "low" + assert normalize_reasoning_effort_value("minimal", model="unknown") == "low" + + +# --------------------------------------------------------------------------- +# Commit 3: Adapter translation — adaptive thinking + output_config.effort +# --------------------------------------------------------------------------- + + +class TestAdapterAdaptiveThinking: + """Test that adaptive thinking type maps correctly through the adapters.""" + + def test_messages_adapter_adaptive_returns_medium_default(self): + """Adaptive thinking returns 'medium' as default reasoning_effort.""" + from litellm.llms.anthropic.experimental_pass_through.adapters.transformation import ( + LiteLLMAnthropicMessagesAdapter, + ) + + adapter = LiteLLMAnthropicMessagesAdapter() + result = adapter.translate_anthropic_thinking_to_reasoning_effort( + {"type": "adaptive"} + ) + assert result == "medium" + + def test_messages_adapter_adaptive_overridden_by_output_config(self): + """For adaptive thinking, output_config.effort overrides reasoning_effort.""" + from litellm.llms.anthropic.experimental_pass_through.adapters.transformation import ( + LiteLLMAnthropicMessagesAdapter, + ) + from litellm.types.llms.anthropic import AnthropicMessagesRequest + + adapter = LiteLLMAnthropicMessagesAdapter() + request = AnthropicMessagesRequest( + model="test-model", + messages=[{"role": "user", "content": "hello"}], + max_tokens=1024, + thinking={"type": "adaptive"}, + output_config={"effort": "high"}, + ) + openai_kwargs, _ = adapter.translate_anthropic_to_openai(request) + # reasoning_effort should be set (either as string or dict with effort) + re = openai_kwargs.get("reasoning_effort") + if isinstance(re, dict): + assert re["effort"] == "high" + else: + assert re == "high" + + def test_responses_adapter_adaptive_with_output_config(self): + """Responses adapter: adaptive thinking + output_config.effort.""" + from litellm.llms.anthropic.experimental_pass_through.responses_adapters.transformation import ( + LiteLLMAnthropicToResponsesAPIAdapter, + ) + + result = LiteLLMAnthropicToResponsesAPIAdapter.translate_thinking_to_reasoning( + thinking={"type": "adaptive"}, + output_config={"effort": "xhigh"}, + ) + assert result is not None + assert result["effort"] == "xhigh" + + def test_responses_adapter_adaptive_default_medium(self): + """Responses adapter: adaptive thinking without output_config defaults to medium.""" + from litellm.llms.anthropic.experimental_pass_through.responses_adapters.transformation import ( + LiteLLMAnthropicToResponsesAPIAdapter, + ) + + result = LiteLLMAnthropicToResponsesAPIAdapter.translate_thinking_to_reasoning( + thinking={"type": "adaptive"}, + ) + assert result is not None + assert result["effort"] == "medium" From 0e23aa739097e11ce8c5e5bc5cb79bbba07a3c95 Mon Sep 17 00:00:00 2001 From: Anmol Jaiswal <68013660+anmolg1997@users.noreply.github.com> Date: Thu, 23 Apr 2026 07:52:38 +0530 Subject: [PATCH 117/165] fix(anthropic): tolerate non-OpenAI file content blocks in file-id discovery (#26228) `get_file_ids_from_messages` and `update_messages_with_model_file_ids` assume every content block with `type: "file"` has a nested `file` dict in the OpenAI Chat Completions shape. That assumption is too strong: `type: "file"` is a public content-block discriminator and several real producers emit blocks that use it without the OpenAI `file` sub-dict. For example, LangChain v1's `_normalize_messages` rewrites OpenAI file blocks into `{"type":"file","id":"...","base64":"...","mime_type":"...","extras":{}}` before they reach LiteLLM. `AnthropicConfig.validate_environment` calls both helpers unconditionally on every Anthropic (and Anthropic-via-Vertex) request, so any such block raises `KeyError: 'file'` which the Vertex partner layer then wraps as a `500 InternalServerError` before the LLM is even contacted. This patch switches both helpers from `c["file"]` to a defensive `c.get("file")` + dict check. When the block does not match the OpenAI shape there is no file_id to extract or remap, so we skip it and leave the block untouched for the downstream provider transformer to handle. Adds 5 regression tests covering the LangChain v1 shape, the OpenAI happy path, mixed shapes in one message, `file` set to a non-dict value, and the remap path for non-OpenAI blocks. Related to #24503, which proposed raising `BadRequestError` in the same spots. For these two discovery functions specifically, the skip semantics is strictly more permissive: well-formed OpenAI blocks still yield their file_id, and legitimate non-OpenAI blocks stop crashing the request. --- .../prompt_templates/common_utils.py | 16 ++- ...ore_utils_prompt_templates_common_utils.py | 113 ++++++++++++++++++ 2 files changed, 127 insertions(+), 2 deletions(-) diff --git a/litellm/litellm_core_utils/prompt_templates/common_utils.py b/litellm/litellm_core_utils/prompt_templates/common_utils.py index 46e60c24d39..b234e6c8f77 100644 --- a/litellm/litellm_core_utils/prompt_templates/common_utils.py +++ b/litellm/litellm_core_utils/prompt_templates/common_utils.py @@ -452,7 +452,14 @@ def update_messages_with_model_file_ids( for c in content: if c["type"] == "file": file_object = cast(ChatCompletionFileObject, c) - file_object_file_field = file_object["file"] + file_object_file_field = file_object.get("file") + if not isinstance(file_object_file_field, dict): + # Content block has `type: "file"` but not the + # OpenAI Chat Completions shape (e.g. a LangChain + # v1 standardized file block, or a provider-native + # shape that also uses `type: "file"`). Nothing to + # remap here, so skip instead of crashing. + continue file_id = file_object_file_field.get("file_id") format = file_object_file_field.get( "format", get_format_from_file_id(file_id) @@ -1060,7 +1067,12 @@ def get_file_ids_from_messages(messages: List[AllMessageValues]) -> List[str]: for c in content: if c["type"] == "file": file_object = cast(ChatCompletionFileObject, c) - file_object_file_field = file_object["file"] + file_object_file_field = file_object.get("file") + if not isinstance(file_object_file_field, dict): + # Content block has `type: "file"` but not the + # OpenAI Chat Completions shape. No file_id to + # extract, so skip instead of raising KeyError. + continue file_id = file_object_file_field.get("file_id") if file_id: file_ids.append(file_id) diff --git a/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_common_utils.py b/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_common_utils.py index 8c34a50c4fa..22d2610eecb 100644 --- a/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_common_utils.py +++ b/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_common_utils.py @@ -11,6 +11,7 @@ sys.path.insert( from litellm.litellm_core_utils.prompt_templates.common_utils import ( add_system_prompt_to_messages, + get_file_ids_from_messages, get_format_from_file_id, handle_any_messages_to_chat_completion_str_messages_conversion, split_concatenated_json_objects, @@ -254,3 +255,115 @@ def test_split_concatenated_json_invalid_raises(): """Completely invalid JSON raises JSONDecodeError.""" with pytest.raises(json.JSONDecodeError): split_concatenated_json_objects("not json at all") + + +# --------------------------------------------------------------------------- +# Regression tests for non-OpenAI file content blocks. +# +# `type: "file"` is a public content-block discriminator. Several producers +# (LangChain v1, provider-native shapes, custom user code) emit blocks with +# `type: "file"` but without the OpenAI Chat Completions `file` sub-dict. +# The discovery helpers below are used unconditionally inside +# `AnthropicConfig.validate_environment`, so any crash there surfaces as a +# `500 InternalServerError` before the request is even dispatched. +# --------------------------------------------------------------------------- + + +def test_get_file_ids_from_messages_skips_langchain_v1_file_block(): + """A LangChain v1 standardized file block must not crash file-id discovery.""" + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "summarise this PDF"}, + # LangChain v1 shape produced by `_normalize_messages`. + # No `file` sub-dict: the discriminator is `type: "file"` but + # the payload lives on `base64`/`mime_type` siblings. + { + "type": "file", + "id": "lc_1", + "base64": "JVBERi0xLjQK", + "mime_type": "application/pdf", + "extras": {"file_format": "application/pdf"}, + }, + ], + } + ] + + assert get_file_ids_from_messages(messages) == [] + + +def test_get_file_ids_from_messages_still_extracts_from_openai_shape(): + """Well-formed OpenAI file blocks still yield their file_id.""" + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "what is this?"}, + {"type": "file", "file": {"file_id": "file-abc"}}, + ], + } + ] + + assert get_file_ids_from_messages(messages) == ["file-abc"] + + +def test_get_file_ids_from_messages_mixed_shapes(): + """Mixed OpenAI and non-OpenAI file blocks: extract from the former, + ignore the latter.""" + messages = [ + { + "role": "user", + "content": [ + {"type": "file", "file": {"file_id": "file-keep"}}, + { + "type": "file", + "id": "lc_2", + "base64": "AAA", + "mime_type": "application/pdf", + }, + ], + } + ] + + assert get_file_ids_from_messages(messages) == ["file-keep"] + + +def test_get_file_ids_from_messages_file_field_not_dict(): + """`file` set to a non-dict value (e.g. stringified payload) must not crash.""" + messages = [ + { + "role": "user", + "content": [ + {"type": "file", "file": "unexpectedly-a-string"}, + ], + } + ] + + assert get_file_ids_from_messages(messages) == [] + + +def test_update_messages_with_model_file_ids_skips_non_openai_file_blocks(): + """`update_messages_with_model_file_ids` is also called on user content + before provider dispatch. It must tolerate non-OpenAI file blocks the same + way.""" + langchain_v1_block = { + "type": "file", + "id": "lc_3", + "base64": "AAA", + "mime_type": "application/pdf", + } + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "hello"}, + langchain_v1_block, + ], + } + ] + + updated = update_messages_with_model_file_ids(messages, "model-1", {}) + + # Messages pass through unchanged when there is no `file` sub-dict to remap. + assert updated == messages From c0c7048903f98dc16af1167212395113a8f1c982 Mon Sep 17 00:00:00 2001 From: Vigilans Date: Thu, 23 Apr 2026 10:29:57 +0800 Subject: [PATCH 118/165] feat(messages): map reasoning_auto_summary to thinking.display for native /v1/messages (#25883) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit When reasoning_auto_summary is enabled (via litellm_settings or env var), automatically set thinking.display="summarized" on native /v1/messages requests. This ensures thinking content is returned in the response instead of being omitted (the default on Claude 4.7+). Only applies when thinking is enabled (type != "disabled"). The existing reasoning_auto_summary flag already handles the /v1/responses path (summary="detailed") and the chat/completions adapter path — this extends coverage to the native messages handler. --- .../messages/handler.py | 13 ++ .../test_reasoning_auto_summary_messages.py | 173 ++++++++++++++++++ 2 files changed, 186 insertions(+) create mode 100644 tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_auto_summary_messages.py diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py index c400d82b7cf..0c59e812e0b 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py @@ -24,6 +24,8 @@ from litellm.types.llms.anthropic_messages.anthropic_response import ( from litellm.types.router import GenericLiteLLMParams from litellm.utils import ProviderConfigManager, client +from ..utils import is_reasoning_auto_summary_enabled + from ..adapters.handler import LiteLLMMessagesToCompletionTransformationHandler from ..responses_adapters.handler import LiteLLMMessagesToResponsesAPIHandler from .interceptors import get_messages_interceptors @@ -441,6 +443,17 @@ def anthropic_messages_handler( params=local_vars ) ) + if is_reasoning_auto_summary_enabled(): + thinking_param = anthropic_messages_optional_request_params.get("thinking") + if ( + isinstance(thinking_param, dict) + and thinking_param.get("type") != "disabled" + ): + anthropic_messages_optional_request_params["thinking"] = { + **thinking_param, + "display": "summarized", + } + return base_llm_http_handler.anthropic_messages_handler( model=model, messages=messages, diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_auto_summary_messages.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_auto_summary_messages.py new file mode 100644 index 00000000000..07c0012b04d --- /dev/null +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/messages/test_reasoning_auto_summary_messages.py @@ -0,0 +1,173 @@ +""" +Tests for reasoning_auto_summary support on the native /v1/messages handler. + +When reasoning_auto_summary is enabled (via litellm.reasoning_auto_summary or +LITELLM_REASONING_AUTO_SUMMARY env var), the handler injects +thinking.display = "summarized" into the request params for active thinking +modes (type="enabled" or type="adaptive"). +""" + +import os +import sys + +import pytest +from unittest.mock import MagicMock, patch + +sys.path.insert(0, os.path.abspath("../../../../..")) + +import litellm +from litellm.llms.anthropic.experimental_pass_through.messages.handler import ( + anthropic_messages_handler, +) + + +def _call_handler_and_capture_optional_params(thinking=None, **extra_kwargs): + """ + Call anthropic_messages_handler with an Anthropic model and capture the + anthropic_messages_optional_request_params dict passed to + base_llm_http_handler.anthropic_messages_handler. + + Returns the captured dict. + """ + captured = {} + + with patch( + "litellm.llms.anthropic.experimental_pass_through.messages.handler." + "base_llm_http_handler" + ) as mock_handler, patch( + "litellm.llms.anthropic.experimental_pass_through.messages.handler." + "ProviderConfigManager" + ) as mock_pcm: + # Make get_provider_anthropic_messages_config return a non-None config + # so the handler takes the native Anthropic path + mock_pcm.get_provider_anthropic_messages_config.return_value = MagicMock() + mock_handler.anthropic_messages_handler.return_value = MagicMock() + + kwargs = dict(extra_kwargs) + if thinking is not None: + kwargs["thinking"] = thinking + + try: + anthropic_messages_handler( + max_tokens=1024, + messages=[{"role": "user", "content": "Hello"}], + model="claude-sonnet-4-20250514", + custom_llm_provider="anthropic", + api_key="test-key", + **kwargs, + ) + except (ValueError, TypeError, AttributeError): + pass + + if mock_handler.anthropic_messages_handler.called: + captured = mock_handler.anthropic_messages_handler.call_args.kwargs.get( + "anthropic_messages_optional_request_params", {} + ) + + return captured + + +class TestReasoningAutoSummaryMessages: + """Tests for thinking.display injection on native /v1/messages handler.""" + + def test_adaptive_thinking_gets_display_summarized(self): + """reasoning_auto_summary=True + thinking.type='adaptive' -> display='summarized'.""" + with patch.object(litellm, "reasoning_auto_summary", True): + params = _call_handler_and_capture_optional_params( + thinking={"type": "adaptive", "budget_tokens": 5000} + ) + thinking = params.get("thinking", {}) + assert thinking.get("display") == "summarized" + assert thinking.get("type") == "adaptive" + assert thinking.get("budget_tokens") == 5000 + + def test_enabled_thinking_gets_display_summarized(self): + """reasoning_auto_summary=True + thinking.type='enabled' -> display='summarized'.""" + with patch.object(litellm, "reasoning_auto_summary", True): + params = _call_handler_and_capture_optional_params( + thinking={"type": "enabled", "budget_tokens": 10000} + ) + thinking = params.get("thinking", {}) + assert thinking.get("display") == "summarized" + assert thinking.get("type") == "enabled" + + def test_disabled_thinking_no_display(self): + """reasoning_auto_summary=True + thinking.type='disabled' -> display NOT set.""" + with patch.object(litellm, "reasoning_auto_summary", True): + params = _call_handler_and_capture_optional_params( + thinking={"type": "disabled"} + ) + thinking = params.get("thinking", {}) + assert "display" not in thinking + + def test_no_injection_when_flag_false(self): + """reasoning_auto_summary=False + active thinking -> display NOT set.""" + with patch.object(litellm, "reasoning_auto_summary", False): + params = _call_handler_and_capture_optional_params( + thinking={"type": "enabled", "budget_tokens": 10000} + ) + thinking = params.get("thinking", {}) + assert "display" not in thinking + + def test_no_thinking_param_no_crash(self): + """reasoning_auto_summary=True but no thinking param -> nothing changes.""" + with patch.object(litellm, "reasoning_auto_summary", True): + params = _call_handler_and_capture_optional_params() + thinking = params.get("thinking") + if thinking is not None: + assert "display" not in thinking + + def test_env_var_enables_auto_summary(self): + """LITELLM_REASONING_AUTO_SUMMARY=true env var enables the feature.""" + with patch.object(litellm, "reasoning_auto_summary", False), patch.dict( + os.environ, {"LITELLM_REASONING_AUTO_SUMMARY": "true"} + ): + params = _call_handler_and_capture_optional_params( + thinking={"type": "adaptive", "budget_tokens": 5000} + ) + thinking = params.get("thinking", {}) + assert thinking.get("display") == "summarized" + + def test_existing_display_summarized_preserved(self): + """User already passes display='summarized' -> preserved as-is.""" + with patch.object(litellm, "reasoning_auto_summary", True): + params = _call_handler_and_capture_optional_params( + thinking={ + "type": "enabled", + "budget_tokens": 10000, + "display": "summarized", + } + ) + thinking = params.get("thinking", {}) + assert thinking.get("display") == "summarized" + + def test_existing_display_summarized_without_flag(self): + """User passes display='summarized' + flag=False -> preserved as-is.""" + with patch.object(litellm, "reasoning_auto_summary", False): + params = _call_handler_and_capture_optional_params( + thinking={ + "type": "enabled", + "budget_tokens": 10000, + "display": "summarized", + } + ) + thinking = params.get("thinking", {}) + assert thinking.get("display") == "summarized" + + def test_omitted_overridden_to_summarized(self): + """User passes display='omitted' + reasoning_auto_summary=True -> overridden. + + Documents current behavior: the code unconditionally sets + display='summarized' when auto_summary is enabled and thinking is active, + regardless of any pre-existing display value. + """ + with patch.object(litellm, "reasoning_auto_summary", True): + params = _call_handler_and_capture_optional_params( + thinking={ + "type": "enabled", + "budget_tokens": 10000, + "display": "omitted", + } + ) + thinking = params.get("thinking", {}) + assert thinking.get("display") == "summarized" From bd145d18e17176b2328ddf18739cfc4bab17058f Mon Sep 17 00:00:00 2001 From: Elias <55650958+eliasto@users.noreply.github.com> Date: Wed, 22 Apr 2026 22:33:58 -0400 Subject: [PATCH 119/165] fix(ovhcloud): Fix tool calling not working (#25948) * fix(ovhcloud): fix tool calling * fix import order --- litellm/llms/ovhcloud/chat/transformation.py | 31 +---------------- .../test_ovhcloud_chat_transformation.py | 33 +++++++++++++++++++ 2 files changed, 34 insertions(+), 30 deletions(-) diff --git a/litellm/llms/ovhcloud/chat/transformation.py b/litellm/llms/ovhcloud/chat/transformation.py index 342ad700e00..ae9271ddb16 100644 --- a/litellm/llms/ovhcloud/chat/transformation.py +++ b/litellm/llms/ovhcloud/chat/transformation.py @@ -8,9 +8,8 @@ More information on our website: https://endpoints.ai.cloud.ovh.net from typing import Optional, Union, List import httpx -from litellm.utils import ModelResponseStream, _get_model_info_helper +from litellm.utils import ModelResponseStream from litellm.llms.openai.chat.gpt_transformation import OpenAIGPTConfig -from litellm._logging import verbose_logger from litellm.llms.ovhcloud.utils import OVHCloudException from litellm.llms.base_llm.base_model_iterator import BaseModelResponseIterator from litellm.llms.base_llm.chat.transformation import BaseLLMException @@ -22,34 +21,6 @@ class OVHCloudChatConfig(OpenAIGPTConfig): def custom_llm_provider(self) -> Optional[str]: return "ovhcloud" - def get_supported_openai_params(self, model: str) -> list: - """ - Details about function calling support can be found here: - https://help.ovhcloud.com/csm/en-gb-public-cloud-ai-endpoints-function-calling?id=kb_article_view&sysparm_article=KB0071907 - """ - supports_function_calling: Optional[bool] = None - try: - model_info = _get_model_info_helper(model, custom_llm_provider="ovhcloud") - supports_function_calling = model_info.get( - "supports_function_calling", None - ) - if supports_function_calling is None: - supports_function_calling = False - except Exception as e: - verbose_logger.debug(f"Error getting supported OpenAI params: {e}") - supports_function_calling = False - - optional_params = super().get_supported_openai_params(model) - if supports_function_calling is not True: - verbose_logger.debug( - "You can see our models supporting function_calling in our catalog: https://endpoints.ai.cloud.ovh.net/catalog " - ) - optional_params.remove("tools") - optional_params.remove("tool_choice") - optional_params.remove("function_call") - optional_params.remove("response_format") - return optional_params - def get_complete_url( self, api_base: Optional[str], diff --git a/tests/test_litellm/llms/ovhcloud/test_ovhcloud_chat_transformation.py b/tests/test_litellm/llms/ovhcloud/test_ovhcloud_chat_transformation.py index c2d597a28ea..a1b3b31f786 100644 --- a/tests/test_litellm/llms/ovhcloud/test_ovhcloud_chat_transformation.py +++ b/tests/test_litellm/llms/ovhcloud/test_ovhcloud_chat_transformation.py @@ -8,6 +8,7 @@ import sys import pytest from litellm.llms.ovhcloud.utils import OVHCloudException +from litellm.utils import get_optional_params sys.path.insert( 0, os.path.abspath("../../../../..") @@ -144,6 +145,38 @@ class TestOVHCloudConfig: assert error.message == "Test error" assert error.status_code == 400 + @pytest.mark.parametrize( + "model", + [ + "Meta-Llama-3_3-70B-Instruct", + "Meta-Llama-3_1-70B-Instruct", + "Mixtral-8x7B-Instruct-v0.1", + "gpt-oss-120b", + "some-model-not-in-the-cost-map", + ], + ) + def test_tools_not_filtered_by_static_model_map(self, model): + """ + OVHCloud AI Endpoints are OpenAI-compatible; tools/tool_choice must pass + through for any model. The server is responsible for rejecting unsupported + tool calls — LiteLLM must not strip them based on a stale static catalog. + """ + + params = get_optional_params( + model=model, + custom_llm_provider="ovhcloud", + tools=[ + { + "type": "function", + "function": {"name": "x", "parameters": {}}, + } + ], + tool_choice="auto", + ) + + assert "tools" in params + assert "tool_choice" in params + def test_ovhcloud_integration(): import os From 947931858eb7ba0ce4cc0e952912ddae54b98586 Mon Sep 17 00:00:00 2001 From: BillionToken Date: Thu, 23 Apr 2026 10:36:18 +0800 Subject: [PATCH 120/165] fix(anthropic): handle tool_choice type 'none' in messages API (#24457) * fix(anthropic): handle tool_choice type 'none' in messages API * test(anthropic): add regression test for tool_choice type 'none' --------- Co-authored-by: BillionClaw <267901332+BillionClaw@users.noreply.github.com> Co-authored-by: Krrish Dholakia --- .../adapters/transformation.py | 2 ++ ...al_pass_through_adapters_transformation.py | 29 ++++++++++--------- 2 files changed, 18 insertions(+), 13 deletions(-) diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py index e5d2b4ce782..20fa4f125de 100644 --- a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py @@ -782,6 +782,8 @@ class LiteLLMAnthropicMessagesAdapter: return ChatCompletionToolChoiceObjectParam( type="function", function=tc_function_param ) + elif tool_choice["type"] == "none": + return "none" else: raise ValueError( "Incompatible tool choice param submitted - {}".format(tool_choice) 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 e6e96868f33..670388b7c03 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 @@ -2162,16 +2162,19 @@ class TestTranslateAnthropicOutputFormatToOpenAI: assert sorted(schema["required"]) == ["age", "email", "name"] def test_invalid_output_format_returns_none(self): - assert ( - self.adapter.translate_anthropic_output_format_to_openai("invalid") is None - ) - assert ( - self.adapter.translate_anthropic_output_format_to_openai({"type": "text"}) - is None - ) - assert ( - self.adapter.translate_anthropic_output_format_to_openai( - {"type": "json_schema"} - ) - is None - ) + assert self.adapter.translate_anthropic_output_format_to_openai("invalid") is None + assert self.adapter.translate_anthropic_output_format_to_openai({"type": "text"}) is None + assert self.adapter.translate_anthropic_output_format_to_openai({"type": "json_schema"}) is None + + +def test_translate_anthropic_tool_choice_none(): + """ + Regression test for issue #24443. + + tool_choice={"type": "none"} should be translated to "none" for OpenAI format, + not raise a ValueError. + """ + adapter = LiteLLMAnthropicMessagesAdapter() + + result = adapter.translate_anthropic_tool_choice_to_openai({"type": "none"}) + assert result == "none" From 4b2fd870ca3d2df8dc4e104d10496ece5ce62e10 Mon Sep 17 00:00:00 2001 From: Rick <26716961+Bytechoreographer@users.noreply.github.com> Date: Thu, 23 Apr 2026 10:39:24 +0800 Subject: [PATCH 121/165] fix(ui): Fetch button ignores active filters on Request Logs page (#25788) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit When backend filters (e.g. Key Alias) are active on the Request Logs page, the manual Fetch button called logs.refetch() which re-runs the main TanStack Query. That query does not carry backend-only filter params such as key_alias, so the button had two problems: 1. It fired a redundant API request without the active filters. 2. It did not refresh the filtered result set — backendFilteredLogs stayed frozen at the last debounce-triggered fetch. Fix: expose refetchWithFilters() from useLogFilterLogic and route the Fetch button through it when hasBackendFilters is true. This cancels any in-flight debounce and calls performSearch with the current filter state, keeping all active filters intact. Co-authored-by: Bytechoreographer Co-authored-by: Claude Sonnet 4 (1M context) --- .../src/components/view_logs/index.tsx | 10 +++++++++- .../src/components/view_logs/log_filter_logic.tsx | 15 +++++++++++++++ 2 files changed, 24 insertions(+), 1 deletion(-) diff --git a/ui/litellm-dashboard/src/components/view_logs/index.tsx b/ui/litellm-dashboard/src/components/view_logs/index.tsx index 97e24cb516a..8205c0b4b86 100644 --- a/ui/litellm-dashboard/src/components/view_logs/index.tsx +++ b/ui/litellm-dashboard/src/components/view_logs/index.tsx @@ -243,6 +243,7 @@ export default function SpendLogsTable({ allTeams, handleFilterChange, handleFilterReset: handleFilterResetFromHook, + refetchWithFilters, } = useLogFilterLogic({ logs: logsData, accessToken, @@ -363,7 +364,14 @@ export default function SpendLogsTable({ // Add this function to handle manual refresh const handleRefresh = () => { - logs.refetch(); + if (hasBackendFilters) { + // When backend filters (e.g. Key Alias) are active the main TanStack Query + // is disabled and its params do not include filter values like key_alias. + // Route through the filter-aware refetch so all active filters are preserved. + refetchWithFilters(); + } else { + logs.refetch(); + } }; const handleRowClick = (log: LogEntry) => { diff --git a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx index 8c88de49d0d..efe0eca3da9 100644 --- a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx +++ b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx @@ -299,6 +299,20 @@ export function useLogFilterLogic({ setCurrentPage(1); }; + // Expose a filter-aware refetch so callers (e.g. the manual Fetch button) can + // refresh results while keeping all active backend filters intact. The plain + // `logs.refetch()` in the parent only re-runs the main TanStack Query, which + // does not carry key_alias or other backend-only filter params. + const refetchWithFilters = useCallback( + (page = currentPage) => { + if (hasBackendFilters && accessToken) { + debouncedSearch.cancel(); + performSearch(filters, page); + } + }, + [hasBackendFilters, accessToken, filters, currentPage, performSearch, debouncedSearch], + ); + return { filters, filteredLogs, @@ -306,5 +320,6 @@ export function useLogFilterLogic({ allTeams, handleFilterChange, handleFilterReset, + refetchWithFilters, }; } From c26e304abc0315606a0577d1f7bcb8b1d9c2def2 Mon Sep 17 00:00:00 2001 From: Rick <26716961+Bytechoreographer@users.noreply.github.com> Date: Thu, 23 Apr 2026 10:41:34 +0800 Subject: [PATCH 122/165] fix(ui): stale filters applied after sort/page/time change on Request Logs (#25789) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The useEffect that re-fetches logs on sort/page/time changes: useEffect(() => { if (hasBackendFilters && accessToken) { performSearch(filters, currentPage); } }, [sortBy, sortOrder, currentPage, startTime, endTime, isCustomDate]); intentionally omits `filters` and `hasBackendFilters` from its dep array to avoid double-fetches when a filter is applied. The side-effect is a stale-closure bug: the effect captures `filters` and `hasBackendFilters` from the render where its deps last changed, not from the render where the user selected, e.g., a Key Alias. Reproduce: set Key Alias → results appear correctly → change page or sort → the effect fires with the OLD `filters` snapshot (no key_alias) → API request is sent without the filter → table shows unfiltered data. Fix: store the latest `filters` and `hasBackendFilters` in refs that are kept in sync on every render. The sort/page/time effect reads from the refs instead of the closure so it always uses the current filter state without altering the dep array. Co-authored-by: Bytechoreographer Co-authored-by: Claude Sonnet 4 (1M context) --- .../components/view_logs/log_filter_logic.tsx | 29 ++++++++++++++----- 1 file changed, 22 insertions(+), 7 deletions(-) diff --git a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx index efe0eca3da9..a538872bfd9 100644 --- a/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx +++ b/ui/litellm-dashboard/src/components/view_logs/log_filter_logic.tsx @@ -71,6 +71,14 @@ export function useLogFilterLogic({ const [filters, setFilters] = useState(defaultFilters); const [backendFilteredLogs, setBackendFilteredLogs] = useState(null); const lastSearchTimestamp = useRef(0); + + // Refs that always hold the latest filters and hasBackendFilters values. + // The sort/page/time effect below intentionally omits these from its dep array + // to avoid double-fetches when a filter changes; reading from refs instead of + // the closure prevents stale-closure bugs (e.g. the effect using a snapshot of + // filters taken before the user selected Key Alias). + const filtersRef = useRef(filters); + const hasBackendFiltersRef = useRef(false); const performSearch = useCallback( async (filters: LogFilterState, page = 1) => { if (!accessToken) return; @@ -152,18 +160,25 @@ export function useLogFilterLogic({ [filters], ); + // Keep refs in sync on every render so the sort/page/time effect always reads + // the latest values without those values being in its dep array. + useEffect(() => { + filtersRef.current = filters; + hasBackendFiltersRef.current = hasBackendFilters; + }, [filters, hasBackendFilters]); + // Refetch when sort, page, or time range changes (backend filters use their own fetch, not the main query) useEffect(() => { - if (hasBackendFilters && accessToken) { + if (hasBackendFiltersRef.current && accessToken) { // Cancel any pending debounced search to prevent it from overwriting this page's results debouncedSearch.cancel(); - performSearch(filters, currentPage); + performSearch(filtersRef.current, currentPage); } - // Intentionally omitted from deps: - // - `filters` / `debouncedSearch` / `performSearch`: filter changes are handled by - // handleFilterChange → debouncedSearch; adding them here would double-fetch on filter apply. - // - `hasBackendFilters` / `accessToken`: stable across sort/page/time changes; including them - // would cause spurious re-runs when the filter state first becomes active. + // filters / hasBackendFilters are read via refs — avoids stale-closure bugs + // when sort/page/time changes after a filter (e.g. Key Alias) was set. + // debouncedSearch / performSearch: filter changes go through handleFilterChange + // → debouncedSearch; adding them here would cause double-fetches on filter apply. + // accessToken: stable across sort/page/time changes. // eslint-disable-next-line react-hooks/exhaustive-deps }, [sortBy, sortOrder, currentPage, startTime, endTime, isCustomDate]); From d26bcda52a034dd0a836395af8c739ac3913d1fd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Braulio=20Vargas=20L=C3=B3pez?= <9081114+BraulioV@users.noreply.github.com> Date: Thu, 23 Apr 2026 04:55:00 +0200 Subject: [PATCH 123/165] refactor: replace substring check with startswith in is_model_gpt_5_model (#25793) The original check `"gpt-5-chat" not in model` already correctly classifies all current gpt-5 variants (including gpt-5.3-chat and gpt-5.1-chat, which do NOT contain the substring "gpt-5-chat"). This change replaces it with an explicit `startswith("gpt-5-chat")` prefix test on the provider-prefix-stripped model name. The new check is functionally equivalent for all existing model names but makes the classification boundary unambiguous and forward-safe: future model names that might contain "gpt-5-chat" as an interior substring won't accidentally be excluded from the GPT-5 reasoning path. Also moves the new regression test from tests/ root to tests/test_litellm/llms/openai/ so it is included in `make test-unit`. --- .../llms/azure/chat/gpt_5_transformation.py | 17 +- .../llms/openai/chat/gpt_5_transformation.py | 18 ++- .../llms/openai/test_is_model_gpt_5_model.py | 151 ++++++++++++++++++ 3 files changed, 181 insertions(+), 5 deletions(-) create mode 100644 tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py diff --git a/litellm/llms/azure/chat/gpt_5_transformation.py b/litellm/llms/azure/chat/gpt_5_transformation.py index bc7483bf64d..e94f50380c0 100644 --- a/litellm/llms/azure/chat/gpt_5_transformation.py +++ b/litellm/llms/azure/chat/gpt_5_transformation.py @@ -40,9 +40,22 @@ class AzureOpenAIGPT5Config(AzureOpenAIConfig, OpenAIGPT5Config): Accepts both explicit gpt-5 model names and the ``gpt5_series/`` prefix used for manual routing. """ - # gpt-5-chat* is a chat model and shouldn't go through GPT-5 reasoning restrictions. + # The gpt-5-chat* family (gpt-5-chat, gpt-5-chat-latest, gpt-5-chat-2025-08-07, + # …) are regular chat models: they support temperature and tool_choice but NOT + # reasoning_effort. They must NOT be routed through the GPT-5 reasoning path. + # + # Versioned chat models such as gpt-5.3-chat and gpt-5.1-chat ARE reasoning + # models and must stay on the GPT-5 path. The distinguishing feature is that + # the gpt-5-chat family has a literal "-chat" immediately after "gpt-5" + # (i.e. "gpt-5-chat…"), while versioned chat models interpose a minor version + # number (i.e. "gpt-5.-chat"). + # + # Using a startswith("gpt-5-chat") prefix check on the normalized name (rather + # than a substring check) makes this boundary explicit and avoids any ambiguity + # if future model names coincidentally contain "gpt-5-chat" as an interior run. + _normalized = model.split("/")[-1] # strip provider prefix, e.g. "azure/" return ( - "gpt-5" in model and "gpt-5-chat" not in model + "gpt-5" in model and not _normalized.startswith("gpt-5-chat") ) or "gpt5_series" in model def get_supported_openai_params(self, model: str) -> List[str]: diff --git a/litellm/llms/openai/chat/gpt_5_transformation.py b/litellm/llms/openai/chat/gpt_5_transformation.py index fc48704cd10..34941a545eb 100644 --- a/litellm/llms/openai/chat/gpt_5_transformation.py +++ b/litellm/llms/openai/chat/gpt_5_transformation.py @@ -53,9 +53,21 @@ class OpenAIGPT5Config(OpenAIGPTConfig): @classmethod def is_model_gpt_5_model(cls, model: str) -> bool: - # gpt-5-chat* behaves like a regular chat model (supports temperature, etc.) - # Don't route it through GPT-5 reasoning-specific parameter restrictions. - return "gpt-5" in model and "gpt-5-chat" not in model + # The gpt-5-chat* family (gpt-5-chat, gpt-5-chat-latest, gpt-5-chat-2025-08-07, + # …) are regular chat models: they support temperature and tool_choice but NOT + # reasoning_effort. They must NOT be routed through the GPT-5 reasoning path. + # + # Versioned chat models such as gpt-5.3-chat and gpt-5.1-chat ARE reasoning + # models and must stay on the GPT-5 path. The distinguishing feature is that + # the gpt-5-chat family has a literal "-chat" immediately after "gpt-5" + # (i.e. "gpt-5-chat…"), while versioned chat models interpose a minor version + # number (i.e. "gpt-5.-chat"). + # + # Using a startswith("gpt-5-chat") prefix check on the normalized name (rather + # than a substring check) makes this boundary explicit and avoids any ambiguity + # if future model names coincidentally contain "gpt-5-chat" as an interior run. + _normalized = model.split("/")[-1] # strip provider prefix, e.g. "openai/" + return "gpt-5" in model and not _normalized.startswith("gpt-5-chat") @classmethod def is_model_gpt_5_search_model(cls, model: str) -> bool: diff --git a/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py b/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py new file mode 100644 index 00000000000..1d262872955 --- /dev/null +++ b/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py @@ -0,0 +1,151 @@ +""" +Regression tests for is_model_gpt_5_model() in both OpenAI and Azure GPT-5 config +classes. + +Background +---------- +In v1.82.3 a substring check was introduced:: + + return "gpt-5" in model and "gpt-5-chat" not in model + +This inadvertently treated versioned chat models like ``gpt-5.3-chat`` and +``gpt-5.1-chat`` as *non*-GPT-5 models, because the string ``"gpt-5-chat"`` is +a substring of ``"gpt-5.3-chat"``. Those models were then routed through the +regular Azure chat path which does not suppress ``parallel_tool_calls``, causing +Azure to return ``finish_reason="stop"`` together with tool_calls and breaking +n8n AI-agent workflows. + +There are two distinct families: + +* **gpt-5-chat family** (``gpt-5-chat``, ``gpt-5-chat-latest``, + ``gpt-5-chat-2025-08-07``, …) — regular chat models that support ``temperature`` + and ``tool_choice`` but NOT ``reasoning_effort``. Must NOT be on the GPT-5 + reasoning path. + +* **Versioned chat models** (``gpt-5.1-chat``, ``gpt-5.2-chat``, + ``gpt-5.3-chat``, …) — ARE GPT-5 reasoning models and must stay on the GPT-5 + path. + +The fix uses a prefix check (``startswith("gpt-5-chat")``) on the normalised model +name instead of a substring check, which correctly distinguishes the two families. +""" + +import pytest + +from litellm.llms.openai.chat.gpt_5_transformation import OpenAIGPT5Config +from litellm.llms.azure.chat.gpt_5_transformation import AzureOpenAIGPT5Config + +# --------------------------------------------------------------------------- +# Parametrized fixtures +# --------------------------------------------------------------------------- + +# Models that MUST be classified as GPT-5 (routed through GPT-5 reasoning path) +GPT5_MODELS = [ + "gpt-5", + "gpt-5.1", + "gpt-5.2", + "gpt-5.3", + "gpt-5.4", + "gpt-5.1-chat", # versioned chat — THE KEY REGRESSION CASE + "gpt-5.2-chat", # versioned chat — also a regression case + "gpt-5.3-chat", # versioned chat — THE KEY REGRESSION CASE + "gpt-5.2-chat-latest", # versioned chat with date suffix + "gpt-5.1-codex", + "gpt-5.1-codex-mini", + "gpt-5.1-mini", + "gpt-5-nano", + "gpt-5-mini", + "gpt-5-codex", +] + +# Models that must NOT be classified as GPT-5 (regular chat path) +NON_GPT5_MODELS = [ + "gpt-5-chat", # gpt-5-chat family — regular chat path + "gpt-5-chat-latest", # gpt-5-chat family with alias suffix + "gpt-5-chat-2025-08-07", # gpt-5-chat family with date suffix + "gpt-4", + "gpt-4o", + "gpt-4-turbo", + "gpt-3.5-turbo", + "o1", + "o3", + "o3-mini", +] + + +# --------------------------------------------------------------------------- +# OpenAIGPT5Config +# --------------------------------------------------------------------------- + + +class TestOpenAIGPT5ConfigIsModelGpt5Model: + + @pytest.mark.parametrize("model", GPT5_MODELS) + def test_gpt5_models_are_classified_as_gpt5(self, model: str): + assert OpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Expected '{model}' to be classified as a GPT-5 model" + + @pytest.mark.parametrize("model", NON_GPT5_MODELS) + def test_non_gpt5_models_are_not_classified_as_gpt5(self, model: str): + assert not OpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Expected '{model}' NOT to be classified as a GPT-5 model" + + def test_versioned_chat_models_are_not_excluded_by_prefix(self): + """Core regression guard: gpt-5-chat prefix must not match versioned models.""" + versioned_chat_models = ["gpt-5.1-chat", "gpt-5.2-chat", "gpt-5.3-chat"] + for model in versioned_chat_models: + assert OpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Regression: '{model}' was incorrectly excluded from GPT-5 path" + + def test_gpt5_chat_family_is_excluded(self): + """gpt-5-chat family should stay on the regular chat path.""" + for model in ["gpt-5-chat", "gpt-5-chat-latest", "gpt-5-chat-2025-08-07"]: + assert not OpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Expected '{model}' (gpt-5-chat family) NOT to be on the GPT-5 path" + + +# --------------------------------------------------------------------------- +# AzureOpenAIGPT5Config +# --------------------------------------------------------------------------- + + +class TestAzureOpenAIGPT5ConfigIsModelGpt5Model: + + @pytest.mark.parametrize("model", GPT5_MODELS) + def test_gpt5_models_are_classified_as_gpt5(self, model: str): + assert AzureOpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Expected Azure '{model}' to be classified as a GPT-5 model" + + @pytest.mark.parametrize("model", NON_GPT5_MODELS) + def test_non_gpt5_models_are_not_classified_as_gpt5(self, model: str): + assert not AzureOpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Expected Azure '{model}' NOT to be classified as a GPT-5 model" + + def test_versioned_chat_models_are_not_excluded_by_prefix(self): + """Core regression guard: gpt-5-chat prefix must not match versioned models.""" + versioned_chat_models = ["gpt-5.1-chat", "gpt-5.2-chat", "gpt-5.3-chat"] + for model in versioned_chat_models: + assert AzureOpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Regression: Azure '{model}' was incorrectly excluded from GPT-5 path" + + def test_gpt5_chat_family_is_excluded(self): + """gpt-5-chat family should stay on the regular chat path.""" + for model in ["gpt-5-chat", "gpt-5-chat-latest", "gpt-5-chat-2025-08-07"]: + assert not AzureOpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Expected Azure '{model}' (gpt-5-chat family) NOT to be on the GPT-5 path" + + def test_gpt5_series_routing_prefix_is_always_classified_as_gpt5(self): + """Models using the gpt5_series/ manual-routing prefix must always match.""" + series_models = ["gpt5_series/my-deployment", "gpt5_series/prod"] + for model in series_models: + assert AzureOpenAIGPT5Config.is_model_gpt_5_model( + model + ), f"Azure '{model}' with gpt5_series/ prefix should be classified as GPT-5" From fcf917df6d8c4eb790acfa61963c3a448e56093c Mon Sep 17 00:00:00 2001 From: "Zark ." <87560774+Alpha-Zark@users.noreply.github.com> Date: Thu, 23 Apr 2026 11:03:46 +0800 Subject: [PATCH 124/165] Feat(dashscope): add image generation support for qwen-image-2.0 and qwen-image-2.0-pro (#25672) * feat: add dashscope/qwen-image-2.0 and qwen-image-2.0-pro to model cost map * feat: implement DashScope image generation transformation class * feat: register DashScope in ProviderConfigManager for image generation * feat: add DashScope to image generation provider routing * feat: auto-route qwen-image /chat/completions requests to /images/generations * test: add unit tests for DashScope image generation (22 cases) * refactor: remove proxy-layer qwen-image auto-routing * feat: auto-redirect image_generation models in acompletion() * test: add acompletion auto-redirect test for image_generation models * fix: remove unused Union import in DashScope transformation * fix: scope acompletion redirect to dashscope and narrow exception handler * fix: move get_str_from_messages to module-level import and forward n param to aimage_generation * refactor: remove acompletion image_generation auto-redirect for dashscope * test: remove acompletion auto-redirect test for dashscope image models --------- Co-authored-by: zark.lin --- litellm/images/main.py | 1 + .../dashscope/image_generation/__init__.py | 9 + .../image_generation/transformation.py | 187 ++++++++++ ...odel_prices_and_context_window_backup.json | 16 + litellm/proxy/proxy_server.py | 1 + litellm/utils.py | 6 + model_prices_and_context_window.json | 16 + .../test_dashscope_image_generation.py | 328 ++++++++++++++++++ 8 files changed, 564 insertions(+) create mode 100644 litellm/llms/dashscope/image_generation/__init__.py create mode 100644 litellm/llms/dashscope/image_generation/transformation.py create mode 100644 tests/test_litellm/test_dashscope_image_generation.py diff --git a/litellm/images/main.py b/litellm/images/main.py index 0d3b2e97294..d95b7287d20 100644 --- a/litellm/images/main.py +++ b/litellm/images/main.py @@ -410,6 +410,7 @@ def image_generation( # noqa: PLR0915 litellm.LlmProviders.RUNWAYML, litellm.LlmProviders.VERTEX_AI, litellm.LlmProviders.OPENROUTER, + litellm.LlmProviders.DASHSCOPE, ): if image_generation_config is None: raise ValueError( diff --git a/litellm/llms/dashscope/image_generation/__init__.py b/litellm/llms/dashscope/image_generation/__init__.py new file mode 100644 index 00000000000..9fdb46586e6 --- /dev/null +++ b/litellm/llms/dashscope/image_generation/__init__.py @@ -0,0 +1,9 @@ +from litellm.llms.base_llm.image_generation.transformation import BaseImageGenerationConfig + +from .transformation import DashScopeImageGenerationConfig + +__all__ = ["DashScopeImageGenerationConfig"] + + +def get_dashscope_image_generation_config(model: str) -> BaseImageGenerationConfig: + return DashScopeImageGenerationConfig() diff --git a/litellm/llms/dashscope/image_generation/transformation.py b/litellm/llms/dashscope/image_generation/transformation.py new file mode 100644 index 00000000000..feac811df83 --- /dev/null +++ b/litellm/llms/dashscope/image_generation/transformation.py @@ -0,0 +1,187 @@ +""" +DashScope Image Generation Configuration + +Handles transformation between OpenAI-compatible format and DashScope multimodal-generation API. + +API endpoint: POST https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation + +Request format: +{ + "model": "qwen-image-2.0-pro", + "input": { + "messages": [{"role": "user", "content": [{"text": ""}]}] + }, + "parameters": {"size": "1024*1024", ...} +} + +Response format: +{ + "output": { + "choices": [{"message": {"content": [{"image": ""}]}}] + }, + "usage": {"input_tokens": 0, "output_tokens": 0, "width": 1024, "height": 1024, "image_count": 1} +} +""" + +from typing import TYPE_CHECKING, Any, List, Optional + +import httpx + +from litellm.llms.base_llm.image_generation.transformation import BaseImageGenerationConfig +from litellm.secret_managers.main import get_secret_str +from litellm.types.llms.openai import AllMessageValues, OpenAIImageGenerationOptionalParams +from litellm.types.utils import ImageObject, ImageResponse + +if TYPE_CHECKING: + from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj + + LiteLLMLoggingObj = _LiteLLMLoggingObj +else: + LiteLLMLoggingObj = Any + +DEFAULT_API_BASE = "https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation" + +# Maps OpenAI size strings (WxH) to DashScope size strings (W*H) +OPENAI_TO_DASHSCOPE_SIZE: dict = { + "256x256": "256*256", + "512x512": "512*512", + "1024x1024": "1024*1024", + "1792x1024": "1792*1024", + "1024x1792": "1024*1792", + "2048x2048": "2048*2048", +} + + +class DashScopeImageGenerationConfig(BaseImageGenerationConfig): + """ + Configuration for DashScope image generation (qwen-image-2.0, qwen-image-2.0-pro). + """ + + def get_supported_openai_params( + self, model: str + ) -> List[OpenAIImageGenerationOptionalParams]: + return ["n", "size"] + + def map_openai_params( + self, + non_default_params: dict, + optional_params: dict, + model: str, + drop_params: bool, + ) -> dict: + supported_params = self.get_supported_openai_params(model) + mapped: dict = {} + for k, v in non_default_params.items(): + if k in optional_params: + continue + if k not in supported_params: + continue + if k == "size": + # Convert "WxH" → "W*H" + mapped["size"] = OPENAI_TO_DASHSCOPE_SIZE.get(v, v.replace("x", "*")) + elif k == "n": + mapped["image_count"] = v + return mapped + + def get_complete_url( + self, + api_base: Optional[str], + api_key: Optional[str], + model: str, + optional_params: dict, + litellm_params: dict, + stream: Optional[bool] = None, + ) -> str: + return ( + api_base + or get_secret_str("DASHSCOPE_API_BASE_IMAGE") + or DEFAULT_API_BASE + ) + + def validate_environment( + self, + headers: dict, + model: str, + messages: List[AllMessageValues], + optional_params: dict, + litellm_params: dict, + api_key: Optional[str] = None, + api_base: Optional[str] = None, + ) -> dict: + final_api_key = api_key or get_secret_str("DASHSCOPE_API_KEY") + if not final_api_key: + raise ValueError("DASHSCOPE_API_KEY is not set") + headers["Authorization"] = f"Bearer {final_api_key}" + headers["Content-Type"] = "application/json" + return headers + + def transform_image_generation_request( + self, + model: str, + prompt: str, + optional_params: dict, + litellm_params: dict, + headers: dict, + ) -> dict: + """ + Transform OpenAI-style image generation request to DashScope multimodal-generation format. + """ + parameters: dict = {} + for k, v in optional_params.items(): + parameters[k] = v + + return { + "model": model, + "input": { + "messages": [ + { + "role": "user", + "content": [{"text": prompt}], + } + ] + }, + "parameters": parameters, + } + + def transform_image_generation_response( + self, + model: str, + raw_response: httpx.Response, + model_response: ImageResponse, + logging_obj: LiteLLMLoggingObj, + request_data: dict, + optional_params: dict, + litellm_params: dict, + encoding: Any, + api_key: Optional[str] = None, + json_mode: Optional[bool] = None, + ) -> ImageResponse: + """ + Transform DashScope response to litellm ImageResponse. + + DashScope response: output.choices[0].message.content[0].image + OpenAI response: data[0].url + """ + try: + response_data = raw_response.json() + except Exception as e: + raise self.get_error_class( + error_message=f"Failed to parse DashScope image generation response: {e}", + status_code=raw_response.status_code, + headers=raw_response.headers, + ) + + if not model_response.data: + model_response.data = [] + + choices = response_data.get("output", {}).get("choices", []) + for choice in choices: + content_list = ( + choice.get("message", {}).get("content", []) + ) + for content_item in content_list: + image_url = content_item.get("image") + if image_url: + model_response.data.append(ImageObject(url=image_url)) + + return model_response diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 05b59d45f99..5f6f4331676 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -10383,6 +10383,22 @@ "supports_reasoning": true, "supports_tool_choice": true }, + "dashscope/qwen-image-2.0": { + "litellm_provider": "dashscope", + "mode": "image_generation", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "dashscope/qwen-image-2.0-pro": { + "litellm_provider": "dashscope", + "mode": "image_generation", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, "databricks/databricks-bge-large-en": { "input_cost_per_token": 1.0003e-07, "input_dbu_cost_per_token": 1.429e-06, diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 0efa1d452d2..ebe38705d9c 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -7246,6 +7246,7 @@ async def chat_completion( # noqa: PLR0915 and user_api_key_dict.agent_id is not None ): data["metadata"]["agent_id"] = user_api_key_dict.agent_id + base_llm_response_processor = ProxyBaseLLMRequestProcessing(data=data) try: result = await base_llm_response_processor.base_process_llm_request( diff --git a/litellm/utils.py b/litellm/utils.py index 7a9f62afa09..e1ad1db63ef 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -8952,6 +8952,12 @@ class ProviderConfigManager: ) return get_openrouter_image_generation_config(model) + elif LlmProviders.DASHSCOPE == provider: + from litellm.llms.dashscope.image_generation import ( + get_dashscope_image_generation_config, + ) + + return get_dashscope_image_generation_config(model) return None @staticmethod diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 8a28235f985..98723b80aa3 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -10397,6 +10397,22 @@ "supports_reasoning": true, "supports_tool_choice": true }, + "dashscope/qwen-image-2.0": { + "litellm_provider": "dashscope", + "mode": "image_generation", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, + "dashscope/qwen-image-2.0-pro": { + "litellm_provider": "dashscope", + "mode": "image_generation", + "source": "https://www.alibabacloud.com/help/en/model-studio/models", + "supported_endpoints": [ + "/v1/images/generations" + ] + }, "databricks/databricks-bge-large-en": { "input_cost_per_token": 1.0003e-07, "input_dbu_cost_per_token": 1.429e-06, diff --git a/tests/test_litellm/test_dashscope_image_generation.py b/tests/test_litellm/test_dashscope_image_generation.py new file mode 100644 index 00000000000..b7680a7e7fd --- /dev/null +++ b/tests/test_litellm/test_dashscope_image_generation.py @@ -0,0 +1,328 @@ +""" +Unit tests for DashScope image generation support (qwen-image-2.0, qwen-image-2.0-pro). + +Run in docker: pytest tests/test_litellm/test_dashscope_image_generation.py -v +""" + +import json +from unittest.mock import MagicMock, patch + +import httpx +import pytest + +import litellm +from litellm.llms.dashscope.image_generation.transformation import ( + DashScopeImageGenerationConfig, + DEFAULT_API_BASE, +) +from litellm.types.utils import ImageObject, ImageResponse +from litellm.utils import get_llm_provider + + +# --------------------------------------------------------------------------- +# 1. Provider detection +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "model_string", + [ + "dashscope/qwen-image-2.0", + "dashscope/qwen-image-2.0-pro", + ], +) +def test_get_llm_provider_returns_dashscope(model_string: str): + model, provider, _, _ = get_llm_provider(model_string) + assert provider == "dashscope", f"Expected 'dashscope', got '{provider}'" + assert "qwen-image" in model + + +# --------------------------------------------------------------------------- +# 2. Model info: mode == "image_generation" +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "model_string, custom_provider", + [ + ("dashscope/qwen-image-2.0", "dashscope"), + ("dashscope/qwen-image-2.0-pro", "dashscope"), + ], +) +def test_get_model_info_mode_is_image_generation(model_string: str, custom_provider: str): + import os + + prev_env = os.environ.get("LITELLM_LOCAL_MODEL_COST_MAP") + prev_model_cost = litellm.model_cost + try: + os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" + litellm.model_cost = litellm.get_model_cost_map(url="") + + info = litellm.get_model_info(model=model_string, custom_llm_provider=custom_provider) + assert info["mode"] == "image_generation", ( + f"Expected mode='image_generation', got '{info['mode']}'" + ) + finally: + if prev_env is None: + os.environ.pop("LITELLM_LOCAL_MODEL_COST_MAP", None) + else: + os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = prev_env + litellm.model_cost = prev_model_cost + + +# --------------------------------------------------------------------------- +# 3. Request transformation +# --------------------------------------------------------------------------- + + +class TestDashScopeImageGenerationConfig: + def setup_method(self): + self.cfg = DashScopeImageGenerationConfig() + + def test_get_complete_url_default(self): + url = self.cfg.get_complete_url(None, None, "qwen-image-2.0", {}, {}) + assert url == DEFAULT_API_BASE + + def test_get_complete_url_custom(self): + custom = "https://custom.endpoint/generate" + url = self.cfg.get_complete_url(custom, None, "qwen-image-2.0", {}, {}) + assert url == custom + + def test_validate_environment_sets_auth_header(self): + headers = self.cfg.validate_environment( + headers={}, + model="qwen-image-2.0", + messages=[], + optional_params={}, + litellm_params={}, + api_key="sk-test-key", + ) + assert headers["Authorization"] == "Bearer sk-test-key" + assert headers["Content-Type"] == "application/json" + + def test_validate_environment_raises_without_key(self): + with patch("litellm.llms.dashscope.image_generation.transformation.get_secret_str", return_value=None): + with pytest.raises(ValueError, match="DASHSCOPE_API_KEY"): + self.cfg.validate_environment( + headers={}, + model="qwen-image-2.0", + messages=[], + optional_params={}, + litellm_params={}, + api_key=None, + ) + + def test_transform_request_structure(self): + req = self.cfg.transform_image_generation_request( + model="qwen-image-2.0", + prompt="a puppy on green grass", + optional_params={"size": "1024*1024"}, + litellm_params={}, + headers={}, + ) + assert req["model"] == "qwen-image-2.0" + messages = req["input"]["messages"] + assert len(messages) == 1 + assert messages[0]["role"] == "user" + assert messages[0]["content"][0]["text"] == "a puppy on green grass" + assert req["parameters"]["size"] == "1024*1024" + + def test_transform_request_empty_params(self): + req = self.cfg.transform_image_generation_request( + model="qwen-image-2.0-pro", + prompt="sunset over the ocean", + optional_params={}, + litellm_params={}, + headers={}, + ) + assert req["parameters"] == {} + + # --------------------------------------------------------------------------- + # 4. Response transformation + # --------------------------------------------------------------------------- + + def _make_mock_response(self, image_url: str) -> httpx.Response: + body = { + "status_code": 200, + "request_id": "test-request-id", + "output": { + "choices": [ + { + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": [{"image": image_url}], + }, + } + ] + }, + "usage": { + "input_tokens": 0, + "output_tokens": 0, + "width": 1024, + "height": 1024, + "image_count": 1, + }, + } + mock_resp = MagicMock(spec=httpx.Response) + mock_resp.status_code = 200 + mock_resp.headers = {} + mock_resp.json.return_value = body + return mock_resp + + def test_transform_response_extracts_url(self): + image_url = "https://example.oss.aliyuncs.com/generated/test.png" + mock_resp = self._make_mock_response(image_url) + model_response = ImageResponse() + result = self.cfg.transform_image_generation_response( + model="qwen-image-2.0", + raw_response=mock_resp, + model_response=model_response, + logging_obj=MagicMock(), + request_data={}, + optional_params={}, + litellm_params={}, + encoding=None, + ) + assert result.data is not None + assert len(result.data) == 1 + assert result.data[0].url == image_url + + def test_transform_response_multiple_images(self): + body = { + "output": { + "choices": [ + {"finish_reason": "stop", "message": {"role": "assistant", "content": [{"image": "https://example.com/img1.png"}]}}, + {"finish_reason": "stop", "message": {"role": "assistant", "content": [{"image": "https://example.com/img2.png"}]}}, + ] + }, + "usage": {}, + } + mock_resp = MagicMock(spec=httpx.Response) + mock_resp.status_code = 200 + mock_resp.headers = {} + mock_resp.json.return_value = body + + model_response = ImageResponse() + result = self.cfg.transform_image_generation_response( + model="qwen-image-2.0", + raw_response=mock_resp, + model_response=model_response, + logging_obj=MagicMock(), + request_data={}, + optional_params={}, + litellm_params={}, + encoding=None, + ) + assert len(result.data) == 2 + assert result.data[0].url == "https://example.com/img1.png" + assert result.data[1].url == "https://example.com/img2.png" + + # --------------------------------------------------------------------------- + # 5. OpenAI → DashScope parameter mapping + # --------------------------------------------------------------------------- + + def test_map_openai_params_size_conversion(self): + mapped = self.cfg.map_openai_params( + non_default_params={"size": "1024x1024"}, + optional_params={}, + model="qwen-image-2.0", + drop_params=False, + ) + assert mapped["size"] == "1024*1024" + + def test_map_openai_params_n_to_image_count(self): + mapped = self.cfg.map_openai_params( + non_default_params={"n": 2}, + optional_params={}, + model="qwen-image-2.0", + drop_params=False, + ) + assert mapped["image_count"] == 2 + + def test_map_openai_params_unknown_size_uses_asterisk(self): + mapped = self.cfg.map_openai_params( + non_default_params={"size": "768x768"}, + optional_params={}, + model="qwen-image-2.0", + drop_params=False, + ) + assert mapped["size"] == "768*768" + + @pytest.mark.parametrize( + "openai_size, expected", + [ + ("256x256", "256*256"), + ("512x512", "512*512"), + ("1024x1024", "1024*1024"), + ("1792x1024", "1792*1024"), + ("1024x1792", "1024*1792"), + ("2048x2048", "2048*2048"), + ], + ) + def test_map_openai_params_size_table(self, openai_size: str, expected: str): + mapped = self.cfg.map_openai_params( + non_default_params={"size": openai_size}, + optional_params={}, + model="qwen-image-2.0", + drop_params=False, + ) + assert mapped["size"] == expected + + +# --------------------------------------------------------------------------- +# 6. End-to-end flow via litellm.image_generation (HTTP mocked) +# --------------------------------------------------------------------------- + + +def test_litellm_image_generation_dashscope_end_to_end(): + mock_response_body = { + "output": { + "choices": [ + { + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": [ + {"image": "https://dashscope-result.oss.aliyuncs.com/test.png"} + ], + }, + } + ] + }, + "usage": {"input_tokens": 0, "output_tokens": 0, "width": 1024, "height": 1024, "image_count": 1}, + } + + with patch( + "litellm.llms.custom_httpx.llm_http_handler.HTTPHandler.post" + ) as mock_post: + mock_http_response = MagicMock() + mock_http_response.json.return_value = mock_response_body + mock_http_response.status_code = 200 + mock_http_response.headers = {} + mock_post.return_value = mock_http_response + + response = litellm.image_generation( + model="dashscope/qwen-image-2.0", + prompt="a puppy playing on green grass", + api_key="sk-test-key", + size="1024x1024", + ) + + assert response is not None + assert response.data is not None + assert len(response.data) == 1 + assert response.data[0].url == "https://dashscope-result.oss.aliyuncs.com/test.png" + + # Verify the HTTP call was made to the DashScope endpoint + call_args = mock_post.call_args + called_url = call_args[0][0] if call_args[0] else call_args.kwargs.get("url", "") + assert "dashscope" in called_url or "aliyuncs" in called_url + + # Verify request body contains DashScope format + call_kwargs = call_args[1] if call_args[1] else {} + if "json" in call_kwargs: + body = call_kwargs["json"] + assert "input" in body + assert "messages" in body["input"] + From bea872a0345537d02414ba99a32e33077c8cf58d Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 21:08:15 -0700 Subject: [PATCH 125/165] [Infra] CCI: remove dead steps accumulated across jobs MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Clean out copy-paste debug and workaround lines that serve no purpose: - `pwd && ls` echoes at the top of 30 "Run tests" steps (CCI already logs working_directory on every step). - "Show git commit hash" in local_testing_part1/part2 and langfuse_logging_unit_tests (CCI shows the SHA in every job header). - "Verify Docker is available" stubs in 6 machine-executor jobs (machine executors always have Docker). - `sudo systemctl restart docker` in proxy_store_model_in_db_tests (one-off workaround; not used anywhere else). - Duplicated Black formatting step in local_testing_part1 and local_testing_part2 — Black runs in the lint job, no reason to run it again here. - Second back-to-back `helm test litellm --logs` invocation in helm_chart_testing (one call is enough). No behavior change — these are all log-only or no-op steps. --- .circleci/config.yml | 117 ------------------------------------------- 1 file changed, 117 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 3a2d6348bae..cd2876dffaf 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -172,11 +172,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Show git commit hash - command: | - echo "Git commit hash: $CIRCLE_SHA1" - - restore_cache: keys: - v1-uv-cache-{{ checksum "uv.lock" }} @@ -197,13 +192,6 @@ jobs: chmod +x docker/entrypoint.sh ./docker/entrypoint.sh set -e - - run: - name: Black Formatting - command: | - cd litellm - uv run --no-sync python -m black . - cd .. - # Run pytest and generate JUnit XML report - run: name: Run tests (Part 1 - A-M) @@ -252,11 +240,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Show git commit hash - command: | - echo "Git commit hash: $CIRCLE_SHA1" - - restore_cache: keys: - v1-uv-cache-{{ checksum "uv.lock" }} @@ -277,13 +260,6 @@ jobs: chmod +x docker/entrypoint.sh ./docker/entrypoint.sh set -e - - run: - name: Black Formatting - command: | - cd litellm - uv run --no-sync python -m black . - cd .. - # Run pytest and generate JUnit XML report - run: name: Run tests (Part 2 - N-Z) @@ -333,11 +309,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Show git commit hash - command: | - echo "Git commit hash: $CIRCLE_SHA1" - - restore_cache: keys: - v1-uv-cache-{{ checksum "uv.lock" }} @@ -363,8 +334,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -v tests/local_testing -x --junitxml=test-results/junit.xml --durations=5 -k "langfuse" no_output_timeout: 15m # Store test results @@ -413,8 +382,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -v tests/proxy_admin_ui_tests -x --junitxml=test-results/junit.xml --durations=5 -n 2 no_output_timeout: 15m @@ -451,8 +418,6 @@ jobs: - run: name: Run tests command: | - pwd - ls TEST_FILES=$(circleci tests glob "tests/local_testing/**/test_*.py") echo "$TEST_FILES" | circleci tests run \ @@ -499,8 +464,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -v tests/router_unit_tests -x --junitxml=test-results/junit.xml --durations=5 -n 4 no_output_timeout: 15m # Store test results @@ -528,8 +491,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest tests/local_testing/ -v -k "assistants" -x --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m # Store test results @@ -563,8 +524,6 @@ jobs: - run: name: Run tests command: | - pwd - ls # Add --timeout to kill hanging tests after 120s (2 min) # Add --durations=20 to show 20 slowest tests for debugging # Subdirectories with dedicated jobs (maintain this list as new jobs are added) @@ -601,8 +560,6 @@ jobs: - run: name: Run realtime tests command: | - pwd - ls # Add --timeout to kill hanging tests after 120s (2 min) # Add --durations=20 to show 20 slowest tests for debugging uv run --no-sync python -m pytest -vv tests/llm_translation/realtime --cov=litellm --cov-report=xml -v --junitxml=test-results/junit.xml --durations=20 -n 4 --timeout=120 --timeout_method=thread @@ -641,8 +598,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/mcp_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5 -n 2 no_output_timeout: 15m - run: @@ -679,8 +634,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/agent_tests --ignore=tests/agent_tests/local_only_agent_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m - run: @@ -717,8 +670,6 @@ jobs: - run: name: Run tests command: | - pwd - ls LITELLM_LOG=WARNING uv run --no-sync python -m pytest tests/guardrails_tests -vv --cov=litellm --cov-report=xml --junitxml=test-results/junit.xml --durations=5 -n 2 --timeout=120 --timeout_method=thread no_output_timeout: 15m - run: @@ -756,8 +707,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/unified_google_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5 --retries 3 --retry-delay 5 no_output_timeout: 15m - run: @@ -803,8 +752,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -v tests/llm_responses_api_testing -x --junitxml=test-results/junit.xml --durations=5 -n 8 no_output_timeout: 15m @@ -831,8 +778,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/ocr_tests --cov=litellm --cov-report=xml -x -v --junitxml=test-results/junit.xml --durations=5 -n 4 no_output_timeout: 15m - run: @@ -869,8 +814,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/search_tests --cov=litellm --cov-report=xml -x -v --junitxml=test-results/junit.xml --durations=5 -n 4 no_output_timeout: 15m - run: @@ -947,8 +890,6 @@ jobs: - run: name: Run enterprise tests command: | - pwd - ls uv run --no-sync python -m prisma generate uv run --no-sync python -m pytest -v tests/enterprise -x --junitxml=test-results/junit-enterprise.xml --durations=10 -n 4 no_output_timeout: 15m @@ -975,8 +916,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/batches_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5 -n 2 no_output_timeout: 15m - run: @@ -1013,8 +952,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/litellm_utils_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5 -n 2 no_output_timeout: 15m - run: @@ -1052,8 +989,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/pass_through_unit_tests --cov=litellm --cov-report=xml -x -v --junitxml=test-results/junit.xml --durations=5 -n 4 no_output_timeout: 15m - run: @@ -1091,8 +1026,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -v tests/image_gen_tests -n 4 -x --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m # Store test results @@ -1119,8 +1052,6 @@ jobs: - run: name: Run tests command: | - pwd - ls LITELLM_LOG=WARNING uv run --no-sync python -m pytest tests/logging_callback_tests -vv --cov=litellm --cov-report=xml -n 4 --junitxml=test-results/junit.xml --durations=5 --timeout=120 --timeout_method=thread no_output_timeout: 15m - run: @@ -1157,8 +1088,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/audio_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m - run: @@ -1245,8 +1174,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/local_testing/test_basic_python_version.py -k "not v2_resolver" installing_litellm_on_python_3_13: @@ -1269,8 +1196,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -v tests/local_testing/test_basic_python_version.py -k "not v2_resolver" installing_litellm_on_python_v2_migration_resolver: @@ -1377,7 +1302,6 @@ jobs: # Run the helm tests helm test litellm --logs - helm test litellm --logs # Cleanup - run: @@ -1535,8 +1459,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -s -v tests/*.py -x --junitxml=test-results/junit.xml -n 4 --durations=5 --ignore=tests/otel_tests --ignore=tests/spend_tracking_tests --ignore=tests/pass_through_tests --ignore=tests/proxy_admin_ui_tests --ignore=tests/load_tests --ignore=tests/llm_translation --ignore=tests/llm_responses_api_testing --ignore=tests/mcp_tests --ignore=tests/guardrails_tests --ignore=tests/image_gen_tests --ignore=tests/pass_through_unit_tests no_output_timeout: 15m @@ -1551,10 +1473,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Verify Docker is available - command: | - docker version - install_uv - run: name: Install Dependencies @@ -1616,8 +1534,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -s -vv tests/openai_endpoints_tests --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m @@ -1632,10 +1548,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Verify Docker is available - command: | - docker version - install_uv - run: name: Install Dependencies @@ -1691,8 +1603,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -v tests/otel_tests -x --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m # Clean up first container @@ -1750,10 +1660,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Verify Docker is available - command: | - docker version - install_uv - run: name: Install Dependencies @@ -1805,8 +1711,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/spend_tracking_tests -x --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m # Clean up first container @@ -1824,10 +1728,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Verify Docker is available - command: | - docker version - install_uv - run: name: Install Dependencies @@ -1898,8 +1798,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/multi_instance_e2e_tests -x --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m # Clean up first container @@ -1915,11 +1813,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Verify Docker is available - command: | - docker version - sudo systemctl restart docker - install_uv - run: name: Install Dependencies @@ -1961,8 +1854,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -vv tests/store_model_in_db_tests -x --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m - run: @@ -2158,8 +2049,6 @@ jobs: - run: name: Run tests command: | - pwd - ls uv run --no-sync python -m pytest -v tests/pass_through_tests/ -x --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m @@ -2175,10 +2064,6 @@ jobs: steps: - checkout - setup_google_dns - - run: - name: Verify Docker is available - command: | - docker version - install_uv - run: name: Install Dependencies @@ -2223,8 +2108,6 @@ jobs: command: | export LITELLM_PROXY_URL="http://localhost:4000" export LITELLM_API_KEY="sk-1234" - pwd - ls uv run --no-sync python -m pytest -vv tests/proxy_e2e_anthropic_messages_tests/ -x -s --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m From 44362cb167e562575c31504980735ad8180e1ca0 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 21:24:06 -0700 Subject: [PATCH 126/165] [Infra] CCI: factor repeated filters and Python docker image to YAML anchors MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The same branch filter block appeared 46 times in the workflow declaration: filters: branches: only: - main - /litellm_.*/ And the same pinned Python docker image appeared 29 times in jobs: - image: cimg/python:3.12@sha256:9c796c... auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} Replace with YAML anchors declared at first use: - `&main_branches` on using_litellm_on_windows's filters block; all other job entries reference it as `filters: *main_branches`. - `&python312_image` on local_testing_part1's first docker image entry; all other jobs reference `- *python312_image`, including the multi-image jobs (auth_ui_unit_tests, installing_litellm_on_python_v2_migration_resolver) which keep their postgres sidecar entry inline afterwards. Net result: one place to change when the image digest rolls or the branch-filter convention changes. No behavior change — YAML anchor resolution produces identical config at parse time. Also adds Docker Hub auth block to upload-coverage (previously pulled anonymously). No functional difference for a public image, but avoids Docker Hub rate limits now that we reuse the same entry. --- .circleci/config.yml | 412 ++++++++----------------------------------- 1 file changed, 76 insertions(+), 336 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index cd2876dffaf..6a3c5e3aa19 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -163,7 +163,8 @@ jobs: local_testing_part1: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c + - &python312_image + image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c auth: username: ${DOCKERHUB_USERNAME} password: ${DOCKERHUB_PASSWORD} @@ -231,10 +232,7 @@ jobs: - local_testing_part1_coverage local_testing_part2: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project parallelism: 4 steps: @@ -299,10 +297,7 @@ jobs: - local_testing_part2_coverage langfuse_logging_unit_tests: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: medium @@ -341,10 +336,7 @@ jobs: path: test-results auth_ui_unit_tests: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image - image: cimg/postgres:16.0@sha256:b125148bc76e8e8eee5eb3ad6020a3a14110a14e8192f1c645128afebe2e2f84 environment: POSTGRES_USER: postgres @@ -391,10 +383,7 @@ jobs: litellm_router_testing: # Runs all tests with the "router" keyword docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: large parallelism: 4 @@ -437,10 +426,7 @@ jobs: litellm_router_unit_testing: # Runs all tests with the "router" keyword docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: large @@ -471,10 +457,7 @@ jobs: path: test-results litellm_assistants_api_testing: # Runs all tests with the "assistants" keyword docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: medium @@ -498,10 +481,7 @@ jobs: path: test-results llm_translation_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: xlarge @@ -542,10 +522,7 @@ jobs: path: test-results realtime_translation_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -580,10 +557,7 @@ jobs: - realtime_translation_coverage mcp_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -616,10 +590,7 @@ jobs: - mcp_coverage agent_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -652,10 +623,7 @@ jobs: - agent_coverage guardrails_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -689,10 +657,7 @@ jobs: google_generate_content_endpoint_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -726,10 +691,7 @@ jobs: llm_responses_api_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: large @@ -760,10 +722,7 @@ jobs: path: test-results ocr_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -796,10 +755,7 @@ jobs: - ocr_coverage search_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -833,10 +789,7 @@ jobs: # Split litellm_mapped_tests into parallel jobs litellm_mapped_tests_proxy_part1: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: large steps: @@ -852,10 +805,7 @@ jobs: path: test-results litellm_mapped_tests_proxy_part2: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: large steps: @@ -871,10 +821,7 @@ jobs: path: test-results litellm_mapped_enterprise_tests: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: large @@ -898,10 +845,7 @@ jobs: path: test-results batches_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -934,10 +878,7 @@ jobs: - batches_coverage litellm_utils_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -971,10 +912,7 @@ jobs: pass_through_unit_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -1007,10 +945,7 @@ jobs: - pass_through_unit_tests_coverage image_gen_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project resource_class: large @@ -1033,10 +968,7 @@ jobs: path: test-results logging_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -1070,10 +1002,7 @@ jobs: - logging_coverage audio_testing: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -1106,10 +1035,7 @@ jobs: - audio_coverage redis_caching_unit_tests: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -1156,10 +1082,7 @@ jobs: - redis_caching_coverage installing_litellm_on_python: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image working_directory: ~/project steps: @@ -1200,10 +1123,7 @@ jobs: installing_litellm_on_python_v2_migration_resolver: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c - auth: - username: ${DOCKERHUB_USERNAME} - password: ${DOCKERHUB_PASSWORD} + - *python312_image - image: cimg/postgres:16.0@sha256:b125148bc76e8e8eee5eb3ad6020a3a14110a14e8192f1c645128afebe2e2f84 environment: POSTGRES_USER: postgres @@ -2117,7 +2037,7 @@ jobs: upload-coverage: docker: - - image: cimg/python:3.12@sha256:9c796c23c84e84a66a964acb508d39dc5433c81a47e07efd56dccbbc2427e07c + - *python312_image steps: - checkout - attach_workspace: @@ -2402,263 +2322,107 @@ workflows: build_and_test: jobs: - using_litellm_on_windows: - filters: + filters: &main_branches branches: only: - main - /litellm_.*/ - local_testing_part1: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - local_testing_part2: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - langfuse_logging_unit_tests: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - litellm_assistants_api_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - litellm_router_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - litellm_router_unit_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - ui_build: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - ui_unit_tests: requires: - ui_build - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - auth_ui_unit_tests: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - build_docker_database_image: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - e2e_ui_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - build_and_test: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - e2e_openai_endpoints: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - proxy_logging_guardrails_model_info_tests: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - proxy_spend_accuracy_tests: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - proxy_multi_instance_tests: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - proxy_store_model_in_db_tests: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - proxy_build_from_pip_tests: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - proxy_pass_through_endpoint_tests: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - proxy_e2e_anthropic_messages_tests: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - llm_translation_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - realtime_translation_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - mcp_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - agent_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - guardrails_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - google_generate_content_endpoint_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - llm_responses_api_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - ocr_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - search_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - litellm_mapped_enterprise_tests: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - litellm_mapped_tests_proxy_part1: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - litellm_mapped_tests_proxy_part2: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - batches_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - litellm_utils_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - pass_through_unit_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - image_gen_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - logging_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - audio_testing: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - redis_caching_unit_tests: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - upload-coverage: requires: - realtime_translation_testing @@ -2685,42 +2449,18 @@ workflows: - db_migration_disable_update_check: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - installing_litellm_on_python: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - installing_litellm_on_python_3_13: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - installing_litellm_on_python_v2_migration_resolver: - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - helm_chart_testing: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches - test_bad_database_url: requires: - build_docker_database_image - filters: - branches: - only: - - main - - /litellm_.*/ + filters: *main_branches From 547d60c64290000488de2273beab3b7d3379951e Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 21:25:22 -0700 Subject: [PATCH 127/165] [Infra] CCI: match Windows uv install path to Linux verification pattern MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The Windows uv install step was piping a remote install.ps1 into Invoke-Expression without any integrity check, while the Linux install steps (install_uv command, line 89) download to a file, verify SHA-256 against a hardcoded digest, and only then execute. Bring the Windows path to the same pattern. Also hardcode the kubectl v1.31.4 checksum in helm_chart_testing instead of fetching kubectl.sha256 from the same origin as the binary — if dl.k8s.io were ever to serve a tampered pair, a co-hosted checksum provides no additional integrity. --- .circleci/config.yml | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 6a3c5e3aa19..0ad8841e26e 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -146,7 +146,15 @@ jobs: - run: name: Install Dependencies command: | - Invoke-RestMethod https://astral.sh/uv/0.10.9/install.ps1 | Invoke-Expression + $installer = Join-Path $env:TEMP "uv-install.ps1" + Invoke-WebRequest -Uri https://astral.sh/uv/0.10.9/install.ps1 -OutFile $installer + $expected = "d43ffff8d28e7d1e7d1831a212465f12b24a43c7f87f386e95e2a5915aee5d7d" + $actual = (Get-FileHash -Path $installer -Algorithm SHA256).Hash.ToLower() + if ($actual -ne $expected) { + throw "uv installer hash mismatch: expected $expected got $actual" + } + & $installer + Remove-Item $installer $uvBin = Join-Path $HOME ".local\bin" $env:Path = "$uvBin;$env:Path" if (!(Test-Path $PROFILE)) { @@ -1165,18 +1173,15 @@ jobs: - install_helm - install_kind - # Install kubectl (pinned version with official checksum verification) + # Install kubectl (pinned version with hardcoded checksum) - run: name: Install kubectl v1.31.4 command: | curl -sSLf -o /tmp/kubectl \ https://dl.k8s.io/release/v1.31.4/bin/linux/amd64/kubectl - curl -sSLf -o /tmp/kubectl.sha256 \ - https://dl.k8s.io/release/v1.31.4/bin/linux/amd64/kubectl.sha256 - echo "$(cat /tmp/kubectl.sha256) /tmp/kubectl" | sha256sum -c - + echo "298e19e9c6c17199011404278f0ff8168a7eca4217edad9097af577023a5620f /tmp/kubectl" | sha256sum -c - chmod +x /tmp/kubectl sudo mv /tmp/kubectl /usr/local/bin/ - rm -f /tmp/kubectl.sha256 # Create kind cluster - run: From a12a2190d7f91e94db031144f050175ef32dbece Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 21:26:19 -0700 Subject: [PATCH 128/165] [Infra] Flip remaining CI jobs to Python 3.12 Stragglers from the 2026-04-21 Python 3.12 standardization: - .github/workflows/check_duplicate_issues.yml (was 3.11) - .github/workflows/llm-translation-testing.yml (was 3.11) - .github/workflows/scan_duplicate_issues.yml (was 3.13) - .circleci proxy_build_from_pip_tests (was 3.13) The only intentional non-3.12 CI job is installing_litellm_on_python_3_13, which exists as an explicit "latest supported Python" smoke matrix. --- .circleci/config.yml | 2 +- .github/workflows/check_duplicate_issues.yml | 2 +- .github/workflows/llm-translation-testing.yml | 2 +- .github/workflows/scan_duplicate_issues.yml | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 0ad8841e26e..e23550dbd6d 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1806,7 +1806,7 @@ jobs: - run: name: Install Dependencies command: | - uv sync --frozen --all-groups --all-extras --python 3.13 + uv sync --frozen --all-groups --all-extras --python 3.12 - run: name: Build Docker image command: | diff --git a/.github/workflows/check_duplicate_issues.yml b/.github/workflows/check_duplicate_issues.yml index 289d78880ad..78198b2c7bb 100644 --- a/.github/workflows/check_duplicate_issues.yml +++ b/.github/workflows/check_duplicate_issues.yml @@ -39,7 +39,7 @@ jobs: if: github.event.action == 'opened' uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 with: - python-version: "3.11" + python-version: "3.12" - name: Auto-close if high-confidence duplicate if: github.event.action == 'opened' diff --git a/.github/workflows/llm-translation-testing.yml b/.github/workflows/llm-translation-testing.yml index 93b69e5c6a9..8d9d52f4e58 100644 --- a/.github/workflows/llm-translation-testing.yml +++ b/.github/workflows/llm-translation-testing.yml @@ -29,7 +29,7 @@ jobs: - name: Set up Python uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 with: - python-version: "3.11" + python-version: "3.12" - name: Set up uv uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7 diff --git a/.github/workflows/scan_duplicate_issues.yml b/.github/workflows/scan_duplicate_issues.yml index 222ff11f304..ab0ac2aa3ac 100644 --- a/.github/workflows/scan_duplicate_issues.yml +++ b/.github/workflows/scan_duplicate_issues.yml @@ -29,7 +29,7 @@ jobs: - name: Set up Python uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 with: - python-version: "3.13" + python-version: "3.12" - name: Scan for duplicate issues env: From eb6a2d043c56c71d628477d1923bee4ca1c5b7ce Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 21:28:42 -0700 Subject: [PATCH 129/165] [Infra] CCI: pin Ruby and Node.js installs in proxy_pass_through_endpoint_tests Align the Ruby, Node.js, and npm install path with the rest of the config. Three separate upstream installers were being invoked via \`curl ... | bash\` or unlocked \`npm install\`: - RVM's \`get.rvm.io/stable\` installer (mutable upstream script). Replace with a shallow git clone of the rvm/rvm repo at tag 1.29.12 and verify HEAD matches the published commit SHA before running the local \`./install\` script. Same pattern already used for the helm-unittest plugin in .github/workflows/helm_unit_test.yml. - NodeSource's \`deb.nodesource.com/setup_18.x\` piped into sudo bash. Replace with a direct download of the Node.js 18.20.8 linux-x64 tarball from nodejs.org, verified against the published SHASUMS256.txt digest before extraction. - \`npm install @google-cloud/vertexai @google/generative-ai\` and \`--save-dev jest\` resolved fresh from the npm registry on every run. Add \`tests/pass_through_tests/package.json\` with pinned direct-dep versions and commit the generated package-lock.json, then switch CI to \`npm ci\` (exact lockfile install, fails on drift). Also scopes the Ruby+JS test runners to \`tests/pass_through_tests/\` so they pick up the committed package.json rather than writing node_modules at repo root. --- .circleci/config.yml | 53 +- tests/pass_through_tests/package-lock.json | 3930 ++++++++++++++++++++ tests/pass_through_tests/package.json | 13 + 3 files changed, 3975 insertions(+), 21 deletions(-) create mode 100644 tests/pass_through_tests/package-lock.json create mode 100644 tests/pass_through_tests/package.json diff --git a/.circleci/config.yml b/.circleci/config.yml index e23550dbd6d..680ce16eee7 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1921,19 +1921,25 @@ jobs: - run: name: Install Ruby and Bundler command: | - # Import GPG keys first - gpg --keyserver hkp://keyserver.ubuntu.com --recv-keys 409B6B1796C275462A1703113804BB82D39DC0E3 7D2BAF1CF37B13E2069D6956105BD0E739499BDB || { - curl -sSL https://rvm.io/mpapis.asc | gpg --import - - curl -sSL https://rvm.io/pkuczynski.asc | gpg --import - - } + # Clone RVM at pinned tag and verify the commit SHA matches the + # published tag before running its install script. + RVM_VERSION="1.29.12" + RVM_EXPECTED_SHA="6bfc9213c9d6914fe756f524eb034a403d51db81" + git clone --depth 1 --branch "$RVM_VERSION" https://github.com/rvm/rvm.git /tmp/rvm + RVM_ACTUAL_SHA="$(git -C /tmp/rvm rev-parse HEAD)" + if [ "$RVM_ACTUAL_SHA" != "$RVM_EXPECTED_SHA" ]; then + echo "RVM tag $RVM_VERSION resolved to $RVM_ACTUAL_SHA; expected $RVM_EXPECTED_SHA" >&2 + exit 1 + fi - # Install Ruby version manager (RVM) - curl -sSL https://get.rvm.io | bash -s stable + # Import RVM signing keys (used by `rvm install` to verify Ruby tarballs) + gpg --keyserver hkp://keyserver.ubuntu.com --recv-keys 409B6B1796C275462A1703113804BB82D39DC0E3 7D2BAF1CF37B13E2069D6956105BD0E739499BDB - # Source RVM from the correct location - source $HOME/.rvm/scripts/rvm + # Install RVM from the verified checkout + /tmp/rvm/install --path "$HOME/.rvm" + source "$HOME/.rvm/scripts/rvm" - # Install Ruby 3.2.2 + # Install Ruby 3.2.2 (RVM verifies the tarball PGP signature) rvm install 3.2.2 rvm use 3.2.2 --default @@ -1948,28 +1954,33 @@ jobs: bundle install bundle exec rspec no_output_timeout: 30m - # New steps to run Node.js test + # Install Node.js directly from nodejs.org with SHA256 verification, + # instead of piping NodeSource's setup_18.x apt-repo installer into + # sudo bash (which runs a mutable upstream script unattended). - run: - name: Install Node.js + name: Install Node.js 18.20.8 command: | - export DEBIAN_FRONTEND=noninteractive - curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash - - sudo apt-get update - sudo apt-get install -y nodejs + NODE_VERSION="18.20.8" + NODE_TARBALL="node-v${NODE_VERSION}-linux-x64.tar.xz" + NODE_EXPECTED_SHA="5467ee62d6af1411d46b6a10e3fb5cacc92734dbcef465fea14e7b90993001c9" + curl -sSLf -o "/tmp/${NODE_TARBALL}" "https://nodejs.org/dist/v${NODE_VERSION}/${NODE_TARBALL}" + echo "${NODE_EXPECTED_SHA} /tmp/${NODE_TARBALL}" | sha256sum -c - + sudo tar -xJf "/tmp/${NODE_TARBALL}" -C /usr/local --strip-components=1 + rm -f "/tmp/${NODE_TARBALL}" node --version npm --version - run: - name: Install Node.js dependencies + name: Install Node.js test dependencies command: | - npm install @google-cloud/vertexai - npm install @google/generative-ai - npm install --save-dev jest + cd tests/pass_through_tests + npm ci - run: name: Run Vertex AI, Google AI Studio Node.js tests command: | - npx jest tests/pass_through_tests --verbose + cd tests/pass_through_tests + npx jest . --verbose no_output_timeout: 30m - run: name: Run tests diff --git a/tests/pass_through_tests/package-lock.json b/tests/pass_through_tests/package-lock.json new file mode 100644 index 00000000000..f1d70e37c68 --- /dev/null +++ b/tests/pass_through_tests/package-lock.json @@ -0,0 +1,3930 @@ +{ + "name": "litellm-pass-through-tests", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + 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"node_modules/yocto-queue": { + "version": "0.1.0", + "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", + "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + } + } +} diff --git a/tests/pass_through_tests/package.json b/tests/pass_through_tests/package.json new file mode 100644 index 00000000000..a500c14cce7 --- /dev/null +++ b/tests/pass_through_tests/package.json @@ -0,0 +1,13 @@ +{ + "name": "litellm-pass-through-tests", + "version": "0.0.0", + "private": true, + "description": "JS pass-through tests for Vertex AI / Google AI Studio routes. CI-only; not published.", + "dependencies": { + "@google-cloud/vertexai": "1.9.3", + "@google/generative-ai": "0.21.0" + }, + "devDependencies": { + "jest": "29.7.0" + } +} From 03a022436b70d611e6f70abe6e405c5e3f46fbbd Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Wed, 22 Apr 2026 21:50:53 -0700 Subject: [PATCH 130/165] [Infra] CCI: run RVM install from its own checkout dir The rvm/install script sources scripts/functions/installer using paths relative to the caller's working directory (not $0), so invoking /tmp/rvm/install from /home/circleci/project fails with 'No such file or directory'. Switch to (cd /tmp/rvm && ./install). --- .circleci/config.yml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 680ce16eee7..eabf4c61292 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1935,8 +1935,10 @@ jobs: # Import RVM signing keys (used by `rvm install` to verify Ruby tarballs) gpg --keyserver hkp://keyserver.ubuntu.com --recv-keys 409B6B1796C275462A1703113804BB82D39DC0E3 7D2BAF1CF37B13E2069D6956105BD0E739499BDB - # Install RVM from the verified checkout - /tmp/rvm/install --path "$HOME/.rvm" + # Install RVM from the verified checkout. The install script + # sources `scripts/functions/installer` using paths relative to + # its own working directory, so it must be run from /tmp/rvm. + (cd /tmp/rvm && ./install --path "$HOME/.rvm") source "$HOME/.rvm/scripts/rvm" # Install Ruby 3.2.2 (RVM verifies the tarball PGP signature) From 1385d46e9974a7ac59843421682268bacde06918 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Thu, 23 Apr 2026 17:17:06 +0530 Subject: [PATCH 131/165] FIx mypy issues --- .../anthropic/experimental_pass_through/utils.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/litellm/llms/anthropic/experimental_pass_through/utils.py b/litellm/llms/anthropic/experimental_pass_through/utils.py index d975bee0bc2..4fd68ef535f 100644 --- a/litellm/llms/anthropic/experimental_pass_through/utils.py +++ b/litellm/llms/anthropic/experimental_pass_through/utils.py @@ -2,6 +2,7 @@ import os from typing import Optional import litellm +from litellm.types.utils import ModelInfo def is_reasoning_auto_summary_enabled() -> bool: @@ -31,25 +32,26 @@ def normalize_reasoning_effort_value( from litellm.utils import get_model_info + model_info: Optional[ModelInfo] = None try: model_info = get_model_info( model=model, custom_llm_provider=custom_llm_provider ) except Exception: - model_info = {} + model_info = None if effort == "max": - if model_info.get("supports_max_reasoning_effort"): + if model_info and model_info.get("supports_max_reasoning_effort"): return "max" - if model_info.get("supports_xhigh_reasoning_effort"): + if model_info and model_info.get("supports_xhigh_reasoning_effort"): return "xhigh" return "high" elif effort == "xhigh": - if model_info.get("supports_xhigh_reasoning_effort"): + if model_info and model_info.get("supports_xhigh_reasoning_effort"): return "xhigh" return "high" elif effort == "minimal": - if model_info.get("supports_minimal_reasoning_effort"): + if model_info and model_info.get("supports_minimal_reasoning_effort"): return "minimal" return "low" return "medium" From 2e3a4bb27a27f875f303b8b66abd26dfad86c155 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Thu, 23 Apr 2026 18:32:24 +0530 Subject: [PATCH 132/165] Fix black --- .../llms/dashscope/image_generation/__init__.py | 4 +++- .../image_generation/transformation.py | 17 +++++++++-------- 2 files changed, 12 insertions(+), 9 deletions(-) diff --git a/litellm/llms/dashscope/image_generation/__init__.py b/litellm/llms/dashscope/image_generation/__init__.py index 9fdb46586e6..aa5724b4d80 100644 --- a/litellm/llms/dashscope/image_generation/__init__.py +++ b/litellm/llms/dashscope/image_generation/__init__.py @@ -1,4 +1,6 @@ -from litellm.llms.base_llm.image_generation.transformation import BaseImageGenerationConfig +from litellm.llms.base_llm.image_generation.transformation import ( + BaseImageGenerationConfig, +) from .transformation import DashScopeImageGenerationConfig diff --git a/litellm/llms/dashscope/image_generation/transformation.py b/litellm/llms/dashscope/image_generation/transformation.py index feac811df83..152c4791bfa 100644 --- a/litellm/llms/dashscope/image_generation/transformation.py +++ b/litellm/llms/dashscope/image_generation/transformation.py @@ -27,9 +27,14 @@ from typing import TYPE_CHECKING, Any, List, Optional import httpx -from litellm.llms.base_llm.image_generation.transformation import BaseImageGenerationConfig +from litellm.llms.base_llm.image_generation.transformation import ( + BaseImageGenerationConfig, +) from litellm.secret_managers.main import get_secret_str -from litellm.types.llms.openai import AllMessageValues, OpenAIImageGenerationOptionalParams +from litellm.types.llms.openai import ( + AllMessageValues, + OpenAIImageGenerationOptionalParams, +) from litellm.types.utils import ImageObject, ImageResponse if TYPE_CHECKING: @@ -93,9 +98,7 @@ class DashScopeImageGenerationConfig(BaseImageGenerationConfig): stream: Optional[bool] = None, ) -> str: return ( - api_base - or get_secret_str("DASHSCOPE_API_BASE_IMAGE") - or DEFAULT_API_BASE + api_base or get_secret_str("DASHSCOPE_API_BASE_IMAGE") or DEFAULT_API_BASE ) def validate_environment( @@ -176,9 +179,7 @@ class DashScopeImageGenerationConfig(BaseImageGenerationConfig): choices = response_data.get("output", {}).get("choices", []) for choice in choices: - content_list = ( - choice.get("message", {}).get("content", []) - ) + content_list = choice.get("message", {}).get("content", []) for content_item in content_list: image_url = content_item.get("image") if image_url: From 2d1cc68e228cc43264d6e7e21a7f5ffc855ebf5f Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Thu, 23 Apr 2026 18:41:01 +0530 Subject: [PATCH 133/165] fix(dashscope): fail fast on image generation API errors Prevent silent empty image responses by raising provider errors for non-200 HTTP statuses and DashScope API-level error payloads, with regression tests covering both paths. Made-with: Cursor --- .../image_generation/transformation.py | 16 +++ .../test_dashscope_image_generation.py | 97 ++++++++++++++++--- 2 files changed, 101 insertions(+), 12 deletions(-) diff --git a/litellm/llms/dashscope/image_generation/transformation.py b/litellm/llms/dashscope/image_generation/transformation.py index 152c4791bfa..77676b11d51 100644 --- a/litellm/llms/dashscope/image_generation/transformation.py +++ b/litellm/llms/dashscope/image_generation/transformation.py @@ -165,6 +165,13 @@ class DashScopeImageGenerationConfig(BaseImageGenerationConfig): DashScope response: output.choices[0].message.content[0].image OpenAI response: data[0].url """ + if raw_response.status_code != 200: + raise self.get_error_class( + error_message=raw_response.text, + status_code=raw_response.status_code, + headers=raw_response.headers, + ) + try: response_data = raw_response.json() except Exception as e: @@ -174,6 +181,15 @@ class DashScopeImageGenerationConfig(BaseImageGenerationConfig): headers=raw_response.headers, ) + # DashScope can return API-level errors in a 200 response body. + # Example: {"code": "InvalidParameter", "message": "Size not supported"} + if "code" in response_data and "output" not in response_data: + raise self.get_error_class( + error_message=str(response_data.get("message", response_data)), + status_code=raw_response.status_code, + headers=raw_response.headers, + ) + if not model_response.data: model_response.data = [] diff --git a/tests/test_litellm/test_dashscope_image_generation.py b/tests/test_litellm/test_dashscope_image_generation.py index b7680a7e7fd..af95e2ca6b4 100644 --- a/tests/test_litellm/test_dashscope_image_generation.py +++ b/tests/test_litellm/test_dashscope_image_generation.py @@ -49,7 +49,9 @@ def test_get_llm_provider_returns_dashscope(model_string: str): ("dashscope/qwen-image-2.0-pro", "dashscope"), ], ) -def test_get_model_info_mode_is_image_generation(model_string: str, custom_provider: str): +def test_get_model_info_mode_is_image_generation( + model_string: str, custom_provider: str +): import os prev_env = os.environ.get("LITELLM_LOCAL_MODEL_COST_MAP") @@ -58,10 +60,12 @@ def test_get_model_info_mode_is_image_generation(model_string: str, custom_provi os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" litellm.model_cost = litellm.get_model_cost_map(url="") - info = litellm.get_model_info(model=model_string, custom_llm_provider=custom_provider) - assert info["mode"] == "image_generation", ( - f"Expected mode='image_generation', got '{info['mode']}'" + info = litellm.get_model_info( + model=model_string, custom_llm_provider=custom_provider ) + assert ( + info["mode"] == "image_generation" + ), f"Expected mode='image_generation', got '{info['mode']}'" finally: if prev_env is None: os.environ.pop("LITELLM_LOCAL_MODEL_COST_MAP", None) @@ -101,7 +105,10 @@ class TestDashScopeImageGenerationConfig: assert headers["Content-Type"] == "application/json" def test_validate_environment_raises_without_key(self): - with patch("litellm.llms.dashscope.image_generation.transformation.get_secret_str", return_value=None): + with patch( + "litellm.llms.dashscope.image_generation.transformation.get_secret_str", + return_value=None, + ): with pytest.raises(ValueError, match="DASHSCOPE_API_KEY"): self.cfg.validate_environment( headers={}, @@ -192,8 +199,20 @@ class TestDashScopeImageGenerationConfig: body = { "output": { "choices": [ - {"finish_reason": "stop", "message": {"role": "assistant", "content": [{"image": "https://example.com/img1.png"}]}}, - {"finish_reason": "stop", "message": {"role": "assistant", "content": [{"image": "https://example.com/img2.png"}]}}, + { + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": [{"image": "https://example.com/img1.png"}], + }, + }, + { + "finish_reason": "stop", + "message": { + "role": "assistant", + "content": [{"image": "https://example.com/img2.png"}], + }, + }, ] }, "usage": {}, @@ -218,6 +237,49 @@ class TestDashScopeImageGenerationConfig: assert result.data[0].url == "https://example.com/img1.png" assert result.data[1].url == "https://example.com/img2.png" + def test_transform_response_raises_on_non_200_status(self): + mock_resp = MagicMock(spec=httpx.Response) + mock_resp.status_code = 400 + mock_resp.headers = {} + mock_resp.text = '{"code":"InvalidParameter","message":"Size not supported"}' + mock_resp.json.return_value = { + "code": "InvalidParameter", + "message": "Size not supported", + } + + with pytest.raises(Exception): + self.cfg.transform_image_generation_response( + model="qwen-image-2.0", + raw_response=mock_resp, + model_response=ImageResponse(), + logging_obj=MagicMock(), + request_data={}, + optional_params={}, + litellm_params={}, + encoding=None, + ) + + def test_transform_response_raises_on_api_error_body(self): + mock_resp = MagicMock(spec=httpx.Response) + mock_resp.status_code = 200 + mock_resp.headers = {} + mock_resp.json.return_value = { + "code": "InvalidParameter", + "message": "Size not supported", + } + + with pytest.raises(Exception): + self.cfg.transform_image_generation_response( + model="qwen-image-2.0", + raw_response=mock_resp, + model_response=ImageResponse(), + logging_obj=MagicMock(), + request_data={}, + optional_params={}, + litellm_params={}, + encoding=None, + ) + # --------------------------------------------------------------------------- # 5. OpenAI → DashScope parameter mapping # --------------------------------------------------------------------------- @@ -284,13 +346,21 @@ def test_litellm_image_generation_dashscope_end_to_end(): "message": { "role": "assistant", "content": [ - {"image": "https://dashscope-result.oss.aliyuncs.com/test.png"} + { + "image": "https://dashscope-result.oss.aliyuncs.com/test.png" + } ], }, } ] }, - "usage": {"input_tokens": 0, "output_tokens": 0, "width": 1024, "height": 1024, "image_count": 1}, + "usage": { + "input_tokens": 0, + "output_tokens": 0, + "width": 1024, + "height": 1024, + "image_count": 1, + }, } with patch( @@ -312,11 +382,15 @@ def test_litellm_image_generation_dashscope_end_to_end(): assert response is not None assert response.data is not None assert len(response.data) == 1 - assert response.data[0].url == "https://dashscope-result.oss.aliyuncs.com/test.png" + assert ( + response.data[0].url == "https://dashscope-result.oss.aliyuncs.com/test.png" + ) # Verify the HTTP call was made to the DashScope endpoint call_args = mock_post.call_args - called_url = call_args[0][0] if call_args[0] else call_args.kwargs.get("url", "") + called_url = ( + call_args[0][0] if call_args[0] else call_args.kwargs.get("url", "") + ) assert "dashscope" in called_url or "aliyuncs" in called_url # Verify request body contains DashScope format @@ -325,4 +399,3 @@ def test_litellm_image_generation_dashscope_end_to_end(): body = call_kwargs["json"] assert "input" in body assert "messages" in body["input"] - From 994e35135dc53badf26455e12d04d87981bc3561 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 11:20:20 -0700 Subject: [PATCH 134/165] fix: correct image size limit enforcement and vertex_location None passthrough MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit token_counter.py: the previous size-limit raises were inside except Exception: pass, so they were silently swallowed. The post-read raise was worse — img_data was already assigned the full body before the raise, so the oversized value was used downstream. Restructured to only assign img_data when the body is within bounds. vertex_ai/common_utils.py and llm_passthrough_endpoints.py: the is-not-None guard skipped validation for None, falling through to produce "https://None-aiplatform..." Added explicit None check that raises before the regex guard. --- litellm/litellm_core_utils/token_counter.py | 9 +++++---- litellm/llms/vertex_ai/common_utils.py | 6 +++--- .../pass_through_endpoints/llm_passthrough_endpoints.py | 6 +++--- 3 files changed, 11 insertions(+), 10 deletions(-) diff --git a/litellm/litellm_core_utils/token_counter.py b/litellm/litellm_core_utils/token_counter.py index d893b980789..e6a68de07e9 100644 --- a/litellm/litellm_core_utils/token_counter.py +++ b/litellm/litellm_core_utils/token_counter.py @@ -219,10 +219,11 @@ def get_image_dimensions( max_bytes = int(MAX_IMAGE_URL_DOWNLOAD_SIZE_MB * 1024 * 1024) content_length = response.headers.get("Content-Length") if content_length is not None and int(content_length) > max_bytes: - raise ValueError("Image response exceeds size limit") - img_data = response.read() - if len(img_data) > max_bytes: - raise ValueError("Image response exceeds size limit") + pass # skip download; img_data stays None + else: + body = response.read() + if len(body) <= max_bytes: + img_data = body except Exception: pass if img_data is None: diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py index c13f6a86f83..fb8fd903409 100644 --- a/litellm/llms/vertex_ai/common_utils.py +++ b/litellm/llms/vertex_ai/common_utils.py @@ -232,9 +232,9 @@ def get_vertex_base_url( """ if vertex_location == "global": return "https://aiplatform.googleapis.com" - if vertex_location is not None and not re.match( - r"^[a-z][a-z0-9-]*$", vertex_location - ): + if vertex_location is None: + raise ValueError("vertex_location is required") + if not re.match(r"^[a-z][a-z0-9-]*$", vertex_location): raise ValueError("Invalid vertex_location format") return f"https://{vertex_location}-aiplatform.googleapis.com" diff --git a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py index 3cf155739ca..8a86b98fee2 100644 --- a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py +++ b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py @@ -1501,9 +1501,9 @@ def get_vertex_base_url(vertex_location: Optional[str]) -> str: """ if vertex_location == "global": return "https://aiplatform.googleapis.com/" - if vertex_location is not None and not re.match( - r"^[a-z][a-z0-9-]*$", vertex_location - ): + if vertex_location is None: + raise ValueError("vertex_location is required") + if not re.match(r"^[a-z][a-z0-9-]*$", vertex_location): raise ValueError("Invalid vertex_location format") return f"https://{vertex_location}-aiplatform.googleapis.com/" From daf29d6a4ad3c7ae1b42c27ee08deb2f6c891a4e Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 12:02:25 -0700 Subject: [PATCH 135/165] [Infra] Add standalone create-release-branch workflow Extracts release branch creation into a separate reusable workflow (create-release-branch.yml) that can be triggered independently via workflow_dispatch or called from other workflows via workflow_call. create-release.yml now dispatches it as a dependent job after the release publishes, keeping both workflows decoupled. --- .github/workflows/create-release-branch.yml | 65 +++++++++++++++++++++ .github/workflows/create-release.yml | 9 +++ 2 files changed, 74 insertions(+) create mode 100644 .github/workflows/create-release-branch.yml diff --git a/.github/workflows/create-release-branch.yml b/.github/workflows/create-release-branch.yml new file mode 100644 index 00000000000..13b76c94dfa --- /dev/null +++ b/.github/workflows/create-release-branch.yml @@ -0,0 +1,65 @@ +name: Create Release Branch + +on: + workflow_dispatch: + inputs: + tag: + description: "Release tag (e.g. v1.83.0-stable) — branch will be named release/" + required: true + type: string + commit_hash: + description: "Full 40-char commit SHA the branch should point to" + required: true + type: string + workflow_call: + inputs: + tag: + description: "Release tag" + required: true + type: string + commit_hash: + description: "Full 40-char commit SHA the branch should point to" + required: true + type: string + +permissions: {} + +jobs: + create-branch: + name: Create Release Branch + runs-on: ubuntu-latest + permissions: + contents: write + steps: + - name: Validate inputs + env: + TAG: ${{ inputs.tag }} + COMMIT_HASH: ${{ inputs.commit_hash }} + run: | + if ! echo "${COMMIT_HASH}" | grep -qE '^[0-9a-f]{40}$'; then + echo "::error::commit_hash must be a full 40-character commit SHA" + exit 1 + fi + if ! echo "${TAG}" | grep -qE '^v[0-9]+\.[0-9]+\.[0-9]+'; then + echo "::error::tag must start with vX.Y.Z" + exit 1 + fi + + - name: Create release branch + env: + TAG: ${{ inputs.tag }} + COMMIT_HASH: ${{ inputs.commit_hash }} + uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1 + with: + script: | + const tag = process.env.TAG; + const commitHash = process.env.COMMIT_HASH; + const branchName = `release/${tag}`; + + await github.rest.git.createRef({ + owner: context.repo.owner, + repo: context.repo.repo, + ref: `refs/heads/${branchName}`, + sha: commitHash, + }); + core.info(`Created branch ${branchName} at ${commitHash}`); diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml index b8633979854..a5b3dd81131 100644 --- a/.github/workflows/create-release.yml +++ b/.github/workflows/create-release.yml @@ -102,6 +102,15 @@ jobs: body: updatedBody, draft: false, }); + } catch (error) { core.setFailed(error.message); } + + create-branch: + name: Create Release Branch + needs: release + uses: ./.github/workflows/create-release-branch.yml + with: + tag: ${{ inputs.tag }} + commit_hash: ${{ inputs.commit_hash }} From 46336b1ac34c75292982e787839a0ae8c19e86fc Mon Sep 17 00:00:00 2001 From: Michael Riad Zaky Date: Thu, 23 Apr 2026 12:08:10 -0700 Subject: [PATCH 136/165] fix linting --- litellm/proxy/auth/auth_checks.py | 9 +++++++-- litellm/proxy/proxy_server.py | 4 +--- 2 files changed, 8 insertions(+), 5 deletions(-) diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py index 1c89b0bfc03..840f64cfede 100644 --- a/litellm/proxy/auth/auth_checks.py +++ b/litellm/proxy/auth/auth_checks.py @@ -3290,10 +3290,15 @@ async def _check_team_member_budget( # Per-member override wins; otherwise fall back to the team-level # default configured via team.metadata["team_member_budget_id"]. team_member_budget: Optional[float] = None - if team_membership is not None and team_membership.litellm_budget_table is not None: + if ( + team_membership is not None + and team_membership.litellm_budget_table is not None + ): team_member_budget = team_membership.litellm_budget_table.max_budget else: - default_budget_id = (team_object.metadata or {}).get("team_member_budget_id") + default_budget_id = (team_object.metadata or {}).get( + "team_member_budget_id" + ) if isinstance(default_budget_id, str): default_budget = await get_team_member_default_budget( budget_id=default_budget_id, diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 546d8df14c9..dafc496ccc0 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -2009,9 +2009,7 @@ async def _init_and_increment_spend_counter( key=counter_key, value=base_spend ) - await spend_counter_cache.async_increment_cache( - key=counter_key, value=increment - ) + await spend_counter_cache.async_increment_cache(key=counter_key, value=increment) async def update_cache( # noqa: PLR0915 From c41567eaa0caaffc6070b2806adc6369b61fe017 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 12:26:25 -0700 Subject: [PATCH 137/165] fix(budget_reset): use raw SQL for IS NOT NULL filter on Json? columns MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The periodic budget-window reset job filtered keys/teams with `where={"budget_limits": {"not": None}}`. The prisma-client-python library does not support null-filtering on `Json?` columns (no DbNull/JsonNull sentinel — upstream issue #714). The client drops the `None` value during serialization and the engine rejects the query with `MissingRequiredValueError: where.budget_limits.not: A value is required but not set`, so neither the key nor team reset path runs. Switch those two `find_many` calls to `query_raw` with `WHERE budget_limits IS NOT NULL`, selecting only the PK and the `budget_limits` column. Writes still go through the ORM. Add unit tests covering the expired/unexpired paths for keys and teams, string-encoded JSON payloads, empty payloads, error isolation between the two paths, and a regression guard asserting the query still uses `IS NOT NULL`. --- .../proxy/common_utils/reset_budget_job.py | 34 +-- .../common_utils/test_reset_budget_job.py | 236 +++++++++++++++++- 2 files changed, 253 insertions(+), 17 deletions(-) diff --git a/litellm/proxy/common_utils/reset_budget_job.py b/litellm/proxy/common_utils/reset_budget_job.py index b11af04e2b1..e486336cec0 100644 --- a/litellm/proxy/common_utils/reset_budget_job.py +++ b/litellm/proxy/common_utils/reset_budget_job.py @@ -632,20 +632,27 @@ class ResetBudgetJob: now = datetime.utcnow() + # Note on raw SQL: prisma-client-python does not support null-filtering + # on `Json?` columns (no DbNull/JsonNull sentinel — see + # RobertCraigie/prisma-client-py#714). We use `query_raw` with + # `IS NOT NULL` so we don't materialize every key/team row on each + # tick of the reset job. Writes still go through the ORM. + # --- Keys --- try: - all_keys = await self.prisma_client.db.litellm_verificationtoken.find_many( - where={"budget_limits": {"not": None}} # type: ignore[arg-type] + key_rows = await self.prisma_client.db.query_raw( + 'SELECT token, budget_limits FROM "LiteLLM_VerificationToken" ' + "WHERE budget_limits IS NOT NULL" ) - for key in all_keys: - raw = key.budget_limits # type: ignore[attr-defined] + for row in key_rows: + raw = row["budget_limits"] if not raw: continue windows: list = raw if isinstance(raw, list) else json.loads(raw) changed = False for window in windows: counter_key = ( - f"spend:key:{key.token}:window:{window['budget_duration']}" + f"spend:key:{row['token']}:window:{window['budget_duration']}" ) if await ResetBudgetJob._reset_expired_window( window, counter_key, spend_counter_cache, now @@ -653,7 +660,7 @@ class ResetBudgetJob: changed = True if changed: await self.prisma_client.db.litellm_verificationtoken.update( - where={"token": key.token}, + where={"token": row["token"]}, data={"budget_limits": json.dumps(windows)}, # type: ignore[arg-type] ) except Exception as e: @@ -663,26 +670,25 @@ class ResetBudgetJob: # --- Teams --- try: - all_teams = await self.prisma_client.db.litellm_teamtable.find_many( - where={"budget_limits": {"not": None}} # type: ignore[arg-type] + team_rows = await self.prisma_client.db.query_raw( + 'SELECT team_id, budget_limits FROM "LiteLLM_TeamTable" ' + "WHERE budget_limits IS NOT NULL" ) - for team in all_teams: - raw = team.budget_limits # type: ignore[attr-defined] + for row in team_rows: + raw = row["budget_limits"] if not raw: continue windows = raw if isinstance(raw, list) else json.loads(raw) changed = False for window in windows: - counter_key = ( - f"spend:team:{team.team_id}:window:{window['budget_duration']}" - ) + counter_key = f"spend:team:{row['team_id']}:window:{window['budget_duration']}" if await ResetBudgetJob._reset_expired_window( window, counter_key, spend_counter_cache, now ): changed = True if changed: await self.prisma_client.db.litellm_teamtable.update( - where={"team_id": team.team_id}, + where={"team_id": row["team_id"]}, data={"budget_limits": json.dumps(windows)}, # type: ignore[arg-type] ) except Exception as e: diff --git a/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py b/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py index 32f043be5b7..379ccf4d9af 100644 --- a/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py +++ b/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py @@ -1,7 +1,9 @@ import asyncio +import json import os import sys import time +import types from datetime import datetime, timedelta, timezone from typing import Any, Dict, List from unittest.mock import AsyncMock, MagicMock @@ -696,9 +698,9 @@ def test_reset_budget_resets_endusers_with_null_budget_id( # Both end users should have been reset updated = mock_prisma_client.updated_data["enduser"] - assert len(updated) == 2, ( - f"Expected 2 endusers reset (1 explicit + 1 implicit), got {len(updated)}" - ) + assert ( + len(updated) == 2 + ), f"Expected 2 endusers reset (1 explicit + 1 implicit), got {len(updated)}" user_ids = {u.user_id for u in updated} assert "enduser-explicit" in user_ids @@ -819,3 +821,231 @@ def test_reset_budget_for_team_members_preserves_total_spend(): assert call_kwargs["where"]["budget_id"]["in"] == ["budget-1"] assert call_kwargs["data"] == {"spend": 0} assert "total_spend" not in call_kwargs["data"] + + +# --------------------------------------------------------------------------- +# reset_budget_windows (per-key / per-team concurrent window resets) +# --------------------------------------------------------------------------- + + +def _make_reset_budget_windows_job( + monkeypatch, + key_rows: List[Dict[str, Any]], + team_rows: List[Dict[str, Any]], +): + """Build a ResetBudgetJob with a fully-mocked prisma client and a fake + `litellm.proxy.proxy_server` module exposing a stub `spend_counter_cache`. + + Returns (job, prisma_client_mock, spend_counter_cache_mock). + """ + prisma_client = MagicMock() + + async def fake_query_raw(query: str, *args, **kwargs): + # Dispatch by table name in the SQL so a single stub covers both calls. + if '"LiteLLM_VerificationToken"' in query: + return key_rows + if '"LiteLLM_TeamTable"' in query: + return team_rows + raise AssertionError(f"Unexpected query_raw call: {query}") + + prisma_client.db.query_raw = AsyncMock(side_effect=fake_query_raw) + prisma_client.db.litellm_verificationtoken.update = AsyncMock(return_value=None) + prisma_client.db.litellm_teamtable.update = AsyncMock(return_value=None) + + # Stub out litellm.proxy.proxy_server so the in-function + # `from litellm.proxy.proxy_server import spend_counter_cache` resolves + # without importing the real (heavy) module. + spend_counter_cache = MagicMock() + spend_counter_cache.in_memory_cache.set_cache = MagicMock() + spend_counter_cache.redis_cache = None # skip the async redis branch + + fake_module = types.ModuleType("litellm.proxy.proxy_server") + fake_module.spend_counter_cache = spend_counter_cache + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", fake_module) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + return job, prisma_client, spend_counter_cache + + +def test_reset_budget_windows_uses_is_not_null_filter(monkeypatch): + """Regression guard for the Prisma client limitation documented in + RobertCraigie/prisma-client-py#714: `{"not": None}` on a `Json?` column + raises `MissingRequiredValueError`. We work around it by using `query_raw` + with `IS NOT NULL`. If someone reverts to the ORM filter, this test fails. + """ + job, prisma_client, _ = _make_reset_budget_windows_job( + monkeypatch, key_rows=[], team_rows=[] + ) + + asyncio.run(job.reset_budget_windows()) + + queries = [call.args[0] for call in prisma_client.db.query_raw.await_args_list] + assert len(queries) == 2, queries + key_query, team_query = queries + + assert '"LiteLLM_VerificationToken"' in key_query + assert "budget_limits IS NOT NULL" in key_query + assert '"LiteLLM_TeamTable"' in team_query + assert "budget_limits IS NOT NULL" in team_query + + +def test_reset_budget_windows_resets_expired_key_window(monkeypatch): + """A key whose window's `reset_at` has passed gets an update with a new + `reset_at` in the future, and the in-memory spend counter is cleared.""" + now = datetime.utcnow() + expired = (now - timedelta(minutes=5)).isoformat() + "Z" + + key_rows = [ + { + "token": "sk-expired", + "budget_limits": [{"budget_duration": "1d", "reset_at": expired}], + } + ] + job, prisma_client, spend_counter_cache = _make_reset_budget_windows_job( + monkeypatch, key_rows=key_rows, team_rows=[] + ) + + asyncio.run(job.reset_budget_windows()) + + # Update should have been called exactly once with the expired token. + prisma_client.db.litellm_verificationtoken.update.assert_awaited_once() + call_kwargs = prisma_client.db.litellm_verificationtoken.update.await_args.kwargs + assert call_kwargs["where"] == {"token": "sk-expired"} + + # The `budget_limits` payload is re-serialized JSON with a bumped reset_at. + written_windows = json.loads(call_kwargs["data"]["budget_limits"]) + assert len(written_windows) == 1 + new_reset_at = datetime.fromisoformat( + written_windows[0]["reset_at"].replace("Z", "+00:00") + ).replace(tzinfo=None) + assert new_reset_at > now + + # The spend counter for this key+window was cleared. + spend_counter_cache.in_memory_cache.set_cache.assert_any_call( + key="spend:key:sk-expired:window:1d", value=0.0 + ) + + +def test_reset_budget_windows_skips_unexpired_key_window(monkeypatch): + """If `reset_at` is in the future, no write should happen for that key.""" + now = datetime.utcnow() + future = (now + timedelta(hours=1)).isoformat() + "Z" + + key_rows = [ + { + "token": "sk-future", + "budget_limits": [{"budget_duration": "1d", "reset_at": future}], + } + ] + job, prisma_client, _ = _make_reset_budget_windows_job( + monkeypatch, key_rows=key_rows, team_rows=[] + ) + + asyncio.run(job.reset_budget_windows()) + + prisma_client.db.litellm_verificationtoken.update.assert_not_awaited() + + +def test_reset_budget_windows_resets_expired_team_window(monkeypatch): + """Same as the key test, but for teams.""" + now = datetime.utcnow() + expired = (now - timedelta(minutes=1)).isoformat() + "Z" + + team_rows = [ + { + "team_id": "team-expired", + "budget_limits": [{"budget_duration": "30d", "reset_at": expired}], + } + ] + job, prisma_client, spend_counter_cache = _make_reset_budget_windows_job( + monkeypatch, key_rows=[], team_rows=team_rows + ) + + asyncio.run(job.reset_budget_windows()) + + prisma_client.db.litellm_teamtable.update.assert_awaited_once() + call_kwargs = prisma_client.db.litellm_teamtable.update.await_args.kwargs + assert call_kwargs["where"] == {"team_id": "team-expired"} + assert "budget_limits" in call_kwargs["data"] + + spend_counter_cache.in_memory_cache.set_cache.assert_any_call( + key="spend:team:team-expired:window:30d", value=0.0 + ) + + +def test_reset_budget_windows_handles_string_budget_limits(monkeypatch): + """Defensive: if `query_raw` returns `budget_limits` as a JSON-encoded + string (driver-dependent), the code still parses and resets it. + """ + now = datetime.utcnow() + expired = (now - timedelta(minutes=1)).isoformat() + "Z" + + key_rows = [ + { + "token": "sk-string-limits", + "budget_limits": json.dumps( + [{"budget_duration": "1d", "reset_at": expired}] + ), + } + ] + job, prisma_client, _ = _make_reset_budget_windows_job( + monkeypatch, key_rows=key_rows, team_rows=[] + ) + + asyncio.run(job.reset_budget_windows()) + + prisma_client.db.litellm_verificationtoken.update.assert_awaited_once() + + +def test_reset_budget_windows_skips_row_with_empty_budget_limits(monkeypatch): + """A row whose `budget_limits` comes back as an empty/falsy payload + (shouldn't happen given the WHERE filter, but we guard anyway) must not + trigger an update or crash the loop.""" + key_rows = [ + {"token": "sk-empty-list", "budget_limits": []}, + {"token": "sk-empty-str", "budget_limits": ""}, + ] + job, prisma_client, _ = _make_reset_budget_windows_job( + monkeypatch, key_rows=key_rows, team_rows=[] + ) + + asyncio.run(job.reset_budget_windows()) + + prisma_client.db.litellm_verificationtoken.update.assert_not_awaited() + + +def test_reset_budget_windows_query_error_does_not_break_team_path(monkeypatch): + """If the key query raises, the teams path still runs (and vice-versa). + Each side has its own try/except; this locks that in.""" + now = datetime.utcnow() + expired = (now - timedelta(minutes=1)).isoformat() + "Z" + + prisma_client = MagicMock() + + async def fake_query_raw(query: str, *args, **kwargs): + if '"LiteLLM_VerificationToken"' in query: + raise RuntimeError("boom") + if '"LiteLLM_TeamTable"' in query: + return [ + { + "team_id": "team-ok", + "budget_limits": [{"budget_duration": "1d", "reset_at": expired}], + } + ] + raise AssertionError(query) + + prisma_client.db.query_raw = AsyncMock(side_effect=fake_query_raw) + prisma_client.db.litellm_teamtable.update = AsyncMock(return_value=None) + + spend_counter_cache = MagicMock() + spend_counter_cache.in_memory_cache.set_cache = MagicMock() + spend_counter_cache.redis_cache = None + fake_module = types.ModuleType("litellm.proxy.proxy_server") + fake_module.spend_counter_cache = spend_counter_cache + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", fake_module) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + + asyncio.run(job.reset_budget_windows()) # must not raise + + prisma_client.db.litellm_teamtable.update.assert_awaited_once() From 3950f5ea72ffd176779e5929af138290cc4b7914 Mon Sep 17 00:00:00 2001 From: Mateo Wang <277851410+mateo-berri@users.noreply.github.com> Date: Thu, 23 Apr 2026 14:05:22 -0700 Subject: [PATCH 138/165] feat: add gpt-5.5 to model cost map (#26345) * feat: add gpt-5.5 to model cost map Add gpt-5.5 entry with pricing from OpenAI flagship page: input $5/1M, cached input $0.50/1M, output $30/1M, 272K context. * test: add gpt-5.5 coverage for model cost map and gpt-5 routing - Add gpt-5.5 to GPT5_MODELS parametrized list so both OpenAIGPT5Config and AzureOpenAIGPT5Config routing tests cover the new model. - Add test_generic_cost_per_token_gpt55 verifying the new entry's cost-map values ($5/$0.50/$30 per 1M) and that generic_cost_per_token returns the expected prompt/completion costs. --- ...odel_prices_and_context_window_backup.json | 36 ++++++++++++++++++ model_prices_and_context_window.json | 36 ++++++++++++++++++ .../llm_cost_calc/test_llm_cost_calc_utils.py | 37 +++++++++++++++++++ .../llms/openai/test_is_model_gpt_5_model.py | 1 + 4 files changed, 110 insertions(+) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index bd959e3103a..1cf7c1f6c7b 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -19273,6 +19273,42 @@ "supports_xhigh_reasoning_effort": true, "supports_minimal_reasoning_effort": true }, + "gpt-5.5": { + "cache_read_input_token_cost": 5e-07, + "input_cost_per_token": 5e-06, + "litellm_provider": "openai", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 3e-05, + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/batch", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_service_tier": true, + "supports_vision": true, + "supports_none_reasoning_effort": true, + "supports_xhigh_reasoning_effort": true, + "supports_minimal_reasoning_effort": true + }, "gpt-5.4": { "cache_read_input_token_cost": 2.5e-07, "cache_read_input_token_cost_above_272k_tokens": 5e-07, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index e60c88be089..8dcd52cae2d 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -19287,6 +19287,42 @@ "supports_xhigh_reasoning_effort": true, "supports_minimal_reasoning_effort": true }, + "gpt-5.5": { + "cache_read_input_token_cost": 5e-07, + "input_cost_per_token": 5e-06, + "litellm_provider": "openai", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 3e-05, + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/batch", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_service_tier": true, + "supports_vision": true, + "supports_none_reasoning_effort": true, + "supports_xhigh_reasoning_effort": true, + "supports_minimal_reasoning_effort": true + }, "gpt-5.4": { "cache_read_input_token_cost": 2.5e-07, "cache_read_input_token_cost_above_272k_tokens": 5e-07, diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py index 91b2c49d2b8..7144279ad0c 100644 --- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py +++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py @@ -328,6 +328,43 @@ def test_generic_cost_per_token_gpt54_above_272k_tokens(): assert round(completion_cost, 10) == round(expected_completion, 10) +def test_generic_cost_per_token_gpt55(): + """gpt-5.5: base pricing — $5/1M input, $30/1M output, $0.50/1M cached input.""" + model = "gpt-5.5" + custom_llm_provider = "openai" + os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" + litellm.model_cost = litellm.get_model_cost_map(url="") + + model_cost_map = litellm.model_cost[model] + + # Sanity-check the map values match OpenAI's published pricing. + assert model_cost_map["input_cost_per_token"] == 5e-6 + assert model_cost_map["output_cost_per_token"] == 3e-5 + assert model_cost_map["cache_read_input_token_cost"] == 5e-7 + assert model_cost_map["litellm_provider"] == "openai" + assert model_cost_map["mode"] == "chat" + assert model_cost_map["max_input_tokens"] == 272000 + + prompt_tokens = 1000 + completion_tokens = 500 + usage = Usage( + prompt_tokens=prompt_tokens, + completion_tokens=completion_tokens, + total_tokens=prompt_tokens + completion_tokens, + ) + prompt_cost, completion_cost = generic_cost_per_token( + model=model, + usage=usage, + custom_llm_provider=custom_llm_provider, + ) + assert round(prompt_cost, 10) == round( + model_cost_map["input_cost_per_token"] * prompt_tokens, 10 + ) + assert round(completion_cost, 10) == round( + model_cost_map["output_cost_per_token"] * completion_tokens, 10 + ) + + def test_generic_cost_per_token_anthropic_prompt_caching(): model = "claude-sonnet-4@20250514" usage = Usage( diff --git a/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py b/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py index 1d262872955..e611d5e6b7e 100644 --- a/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py +++ b/tests/test_litellm/llms/openai/test_is_model_gpt_5_model.py @@ -46,6 +46,7 @@ GPT5_MODELS = [ "gpt-5.2", "gpt-5.3", "gpt-5.4", + "gpt-5.5", "gpt-5.1-chat", # versioned chat — THE KEY REGRESSION CASE "gpt-5.2-chat", # versioned chat — also a regression case "gpt-5.3-chat", # versioned chat — THE KEY REGRESSION CASE From e37d1b0cb63d1a5d7f23918efa4e64c9e93a9166 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 14:13:55 -0700 Subject: [PATCH 139/165] [Fix] Deflake spend tracking tests Two independent deflakes: 1. test_ui_view_spend_logs_unauthorized (unit) was returning 400 instead of 401/403 when earlier tests in the file left proxy-auth globals (prisma_client, master_key, user_custom_auth, general_settings, user_api_key_cache) in a state that let invalid tokens pass auth and fall through to the endpoint's own start_date/end_date validation. Add an autouse fixture that pins those globals to their import-time defaults for every test in the file. Harden the assertion to include response body so future flakes are diagnosable. 2. test_basic_spend_accuracy (CI job proxy_spend_accuracy_tests) depends on the Redis transaction buffer flushing spend to Postgres. The buffer uses a single global pod-lock key (cronjob_lock:db_spend_update_job) and a single global buffer list key. Pointing the proxy at the shared remote Redis means concurrent CI pipelines contend for the same lock and can drain each other's buffer into the wrong database. Add a start_redis reusable command that boots a per-job redis:7-alpine container (digest-pinned), and switch proxy_spend_accuracy_tests to REDIS_HOST=host.docker.internal:6379 so lock and buffer state are isolated per CI run. --- .circleci/config.yml | 29 +++++++++++++++---- .../test_spend_management_endpoints.py | 24 +++++++++++++-- 2 files changed, 46 insertions(+), 7 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 0a59b7ef0db..e9b805fd453 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -98,6 +98,19 @@ commands: - wait_for_service: url: tcp://localhost:5432 timeout: "60" + start_redis: + description: "Start a redis container on port 6379 and wait until it accepts connections. Use this to isolate a job from the shared remote Redis so concurrent CI pipelines don't contend for pod locks or buffer keys." + steps: + - run: + name: Start Redis + command: | + docker run -d \ + --name redis-cache \ + -p 6379:6379 \ + redis:7-alpine@sha256:7aec734b2bb298a1d769fd8729f13b8514a41bf90fcdd1f38ec52267fbaa8ee6 + - wait_for_service: + url: tcp://localhost:6379 + timeout: "60" setup_litellm_enterprise_pip: steps: - run: @@ -1775,6 +1788,7 @@ jobs: command: | uv sync --frozen --all-groups --all-extras --python 3.12 - start_postgres + - start_redis - attach_workspace: at: ~/project - run: @@ -1784,15 +1798,18 @@ jobs: docker images | grep litellm-docker-database - run: name: Run Docker container - # intentionally give bad redis credentials here - # the OTEL test - should get this as a trace + # Point the proxy at the job-local Redis (start_redis) instead of the + # shared remote Redis. The Redis transaction buffer uses a single + # global pod-lock key (cronjob_lock:db_spend_update_job) and a single + # global buffer list (litellm_spend_update_buffer); sharing those + # across concurrent CI pipelines causes spend flushes to stall or + # land in the wrong DB, which is what makes this test flaky. command: | docker run -d \ -p 4000:4000 \ -e DATABASE_URL=postgresql://postgres:postgres@host.docker.internal:5432/circle_test \ - -e REDIS_HOST=$REDIS_HOST \ - -e REDIS_PASSWORD=$REDIS_PASSWORD \ - -e REDIS_PORT=$REDIS_PORT \ + -e REDIS_HOST=host.docker.internal \ + -e REDIS_PORT=6379 \ -e LITELLM_MASTER_KEY="sk-1234" \ -e OPENAI_API_KEY=$OPENAI_API_KEY \ -e LITELLM_LICENSE=$LITELLM_LICENSE \ @@ -1830,6 +1847,8 @@ jobs: command: | docker stop my-app docker rm my-app + docker stop redis-cache + docker rm redis-cache proxy_multi_instance_tests: machine: diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py b/tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py index 1e2e3981397..2370d5df302 100644 --- a/tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py +++ b/tests/test_litellm/proxy/spend_tracking/test_spend_management_endpoints.py @@ -422,6 +422,26 @@ def reset_router_callbacks(): litellm.logging_callback_manager._reset_all_callbacks() +@pytest.fixture(autouse=True) +def reset_proxy_auth_globals(monkeypatch): + """ + Pin proxy auth-related globals to a known baseline so tests don't inherit + leaked state (master_key, prisma_client, custom auth, cached tokens) from + earlier tests. Individual tests can still override via their own + monkeypatch calls — those run after this fixture and revert first. + """ + import litellm.proxy.proxy_server as ps + + monkeypatch.setattr(ps, "prisma_client", None) + monkeypatch.setattr(ps, "master_key", None) + monkeypatch.setattr(ps, "user_custom_auth", None) + monkeypatch.setattr(ps, "general_settings", {}) + try: + ps.user_api_key_cache.in_memory_cache.cache_dict.clear() + except AttributeError: + pass + + @pytest.mark.asyncio async def test_ui_view_spend_logs_with_user_id(client, monkeypatch): mock_spend_logs = [ @@ -1150,14 +1170,14 @@ async def test_ui_view_spend_logs_date_range_filter(client, monkeypatch): async def test_ui_view_spend_logs_unauthorized(client): # Test without authorization header response = client.get("/spend/logs/ui") - assert response.status_code == 401 or response.status_code == 403 + assert response.status_code in (401, 403), response.text # Test with invalid authorization response = client.get( "/spend/logs/ui", headers={"Authorization": "Bearer invalid-token"}, ) - assert response.status_code == 401 or response.status_code == 403 + assert response.status_code in (401, 403), response.text @pytest.mark.asyncio From 8adb3a6a8ff6bbd727e4d69fc588c3fa68862a61 Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Thu, 23 Apr 2026 14:18:06 -0700 Subject: [PATCH 140/165] Apply suggestion from @greptile-apps[bot] Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> --- .circleci/config.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.circleci/config.yml b/.circleci/config.yml index e9b805fd453..cb657fc2d12 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1844,6 +1844,9 @@ jobs: # Clean up first container - run: name: Stop and remove first container + - run: + name: Stop and remove first container + when: always command: | docker stop my-app docker rm my-app From 4af2b6735740b703563e78e8651d86149d0956de Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 14:21:14 -0700 Subject: [PATCH 141/165] [Fix] Drop orphan teardown step from Greptile merge MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Previous commit from greptile-apps added a new `when: always` teardown step without removing the prior `name:`-only step, leaving a `- run` block with no `command:` — CircleCI config validation rejects that. Collapse back to a single teardown step that runs on success and failure. --- .circleci/config.yml | 3 --- 1 file changed, 3 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index cb657fc2d12..535dd1a9efc 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -1841,9 +1841,6 @@ jobs: ls uv run --no-sync python -m pytest -vv tests/spend_tracking_tests -x --junitxml=test-results/junit.xml --durations=5 no_output_timeout: 15m - # Clean up first container - - run: - name: Stop and remove first container - run: name: Stop and remove first container when: always From c4ea0e93c80772d1615e36eb1052b2179465885f Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 14:48:02 -0700 Subject: [PATCH 142/165] fix: drain logging worker in test_router_caching_ttl to remove flake The mocked async_increment_cache_pipeline is invoked from Router's deployment_callback_on_success, registered as an async success callback. Those callbacks are enqueued to GLOBAL_LOGGING_WORKER and run on a background task, so the mock may not have been called yet when the test asserts on it. Flush the worker before asserting. --- tests/local_testing/test_tpm_rpm_routing_v2.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/tests/local_testing/test_tpm_rpm_routing_v2.py b/tests/local_testing/test_tpm_rpm_routing_v2.py index 9de5625c63a..211af566424 100644 --- a/tests/local_testing/test_tpm_rpm_routing_v2.py +++ b/tests/local_testing/test_tpm_rpm_routing_v2.py @@ -547,6 +547,8 @@ async def test_router_caching_ttl(): assert router.cache.redis_cache is not None + from litellm.litellm_core_utils.logging_worker import GLOBAL_LOGGING_WORKER + increment_cache_kwargs = {} with patch.object( router.cache, @@ -555,6 +557,10 @@ async def test_router_caching_ttl(): ) as mock_client: await router.acompletion(model=model, messages=messages) + # Async success callbacks are dispatched to GLOBAL_LOGGING_WORKER's + # background queue; drain it before asserting the mock was invoked. + await GLOBAL_LOGGING_WORKER.flush() + # mock_client.assert_called_once() print(f"mock_client.call_args.kwargs: {mock_client.call_args.kwargs}") print(f"mock_client.call_args.args: {mock_client.call_args.args}") From c2f40e89d52346cb3edda4a11adc99eb1541dd07 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 14:48:38 -0700 Subject: [PATCH 143/165] [Infra] Remove CCI/GHA test duplication and semantically shard proxy DB tests MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Split into two related cleanups: 1. Delete CCI jobs that duplicate GHA coverage: - mcp_testing (tests/mcp_tests) — already run by test-mcp.yml - litellm_mapped_tests_proxy_part1/part2 (tests/test_litellm/proxy) — already run across test-unit-proxy-auth.yml, test-unit-proxy-endpoints.yml, and test-unit-proxy-infra.yml Add rag_endpoints and realtime_endpoints to test-unit-proxy-endpoints.yml (they were only covered by the deleted CCI part2 job). Remove the corresponding workflow wiring, coverage combine entries, and upload-coverage dependencies in .circleci/config.yml. 2. Re-shard test-unit-proxy-db.yml from 4 alphabetic buckets to 8 semantic ones (auth-and-jwt, proxy-server, logging-and-callbacks, db-and-spend, guardrails-budget-hooks, endpoints-and-responses, plus the existing serial key-generation and test_proxy_utils.py shards). New test files are placed in whichever group they belong to instead of reshuffling slices. Add a dist input to _test-unit-services-base.yml so the test_proxy_utils.py shard can use --dist=worksteal to spread its ~64 (many parametrized) functions across workers; the default --dist=loadscope pins a single file to a single worker, which was the root cause of that shard running 10m+. --- .circleci/config.yml | 77 +---------- .../workflows/_test-unit-services-base.yml | 8 +- .github/workflows/test-unit-proxy-db.yml | 122 ++++++++++++++++-- .../workflows/test-unit-proxy-endpoints.yml | 2 + 4 files changed, 120 insertions(+), 89 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index eabf4c61292..884ecbee0d3 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -563,39 +563,6 @@ jobs: paths: - realtime_translation_coverage.xml - realtime_translation_coverage - mcp_testing: - docker: - - *python312_image - working_directory: ~/project - - steps: - - checkout - - setup_google_dns - - install_uv - - run: - name: Install Dependencies - command: | - uv sync --frozen --all-groups --all-extras --python 3.12 - # Run pytest and generate JUnit XML report - - run: - name: Run tests - command: | - uv run --no-sync python -m pytest -vv tests/mcp_tests --cov=litellm --cov-report=xml -x -s -v --junitxml=test-results/junit.xml --durations=5 -n 2 - no_output_timeout: 15m - - run: - name: Rename the coverage files - command: | - mv coverage.xml mcp_coverage.xml - mv .coverage mcp_coverage - - # Store test results - - store_test_results: - path: test-results - - persist_to_workspace: - root: . - paths: - - mcp_coverage.xml - - mcp_coverage agent_testing: docker: - *python312_image @@ -794,39 +761,6 @@ jobs: paths: - search_coverage.xml - search_coverage - # Split litellm_mapped_tests into parallel jobs - litellm_mapped_tests_proxy_part1: - docker: - - *python312_image - working_directory: ~/project - resource_class: large - steps: - - setup_litellm_test_deps - - run: - name: Run proxy tests part 1 (high-volume directories) - command: | - uv run --no-sync python -m prisma generate - export PYTHONUNBUFFERED=1 - uv run --no-sync python -m pytest tests/test_litellm/proxy/guardrails tests/test_litellm/proxy/management_endpoints tests/test_litellm/proxy/_experimental tests/test_litellm/proxy/client tests/test_litellm/proxy/auth --junitxml=test-results/junit-proxy-part1.xml --durations=10 -n 4 --maxfail=5 --timeout=60 -vv --log-cli-level=WARNING -r A - no_output_timeout: 15m - - store_test_results: - path: test-results - litellm_mapped_tests_proxy_part2: - docker: - - *python312_image - working_directory: ~/project - resource_class: large - steps: - - setup_litellm_test_deps - - run: - name: Run proxy tests part 2 (all other tests) - command: | - uv run --no-sync python -m prisma generate - export PYTHONUNBUFFERED=1 - uv run --no-sync python -m pytest tests/test_litellm/proxy --ignore=tests/test_litellm/proxy/guardrails --ignore=tests/test_litellm/proxy/management_endpoints --ignore=tests/test_litellm/proxy/_experimental --ignore=tests/test_litellm/proxy/client --ignore=tests/test_litellm/proxy/auth --junitxml=test-results/junit-proxy-part2.xml --durations=10 -n 4 --maxfail=5 --timeout=120 -vv --log-cli-level=WARNING -r A - no_output_timeout: 15m - - store_test_results: - path: test-results litellm_mapped_enterprise_tests: docker: - *python312_image @@ -2072,7 +2006,7 @@ jobs: - run: name: Combine Coverage command: | - uv tool run --from 'coverage[toml]==7.10.6' coverage combine realtime_translation_coverage ocr_coverage search_coverage mcp_coverage logging_coverage audio_coverage local_testing_part1_coverage local_testing_part2_coverage pass_through_unit_tests_coverage batches_coverage guardrails_coverage redis_caching_coverage + uv tool run --from 'coverage[toml]==7.10.6' coverage combine realtime_translation_coverage ocr_coverage search_coverage logging_coverage audio_coverage local_testing_part1_coverage local_testing_part2_coverage pass_through_unit_tests_coverage batches_coverage guardrails_coverage redis_caching_coverage uv tool run --from 'coverage[toml]==7.10.6' coverage xml - codecov/upload: file: ./coverage.xml @@ -2407,8 +2341,6 @@ workflows: filters: *main_branches - realtime_translation_testing: filters: *main_branches - - mcp_testing: - filters: *main_branches - agent_testing: filters: *main_branches - guardrails_testing: @@ -2423,10 +2355,6 @@ workflows: filters: *main_branches - litellm_mapped_enterprise_tests: filters: *main_branches - - litellm_mapped_tests_proxy_part1: - filters: *main_branches - - litellm_mapped_tests_proxy_part2: - filters: *main_branches - batches_testing: filters: *main_branches - litellm_utils_testing: @@ -2444,14 +2372,11 @@ workflows: - upload-coverage: requires: - realtime_translation_testing - - mcp_testing - agent_testing - google_generate_content_endpoint_testing - guardrails_testing - ocr_testing - search_testing - - litellm_mapped_tests_proxy_part1 - - litellm_mapped_tests_proxy_part2 - litellm_mapped_enterprise_tests - batches_testing - litellm_utils_testing diff --git a/.github/workflows/_test-unit-services-base.yml b/.github/workflows/_test-unit-services-base.yml index 8e0b3568aea..9de3ac3cf5f 100644 --- a/.github/workflows/_test-unit-services-base.yml +++ b/.github/workflows/_test-unit-services-base.yml @@ -32,6 +32,11 @@ on: required: false type: boolean default: false + dist: + description: "pytest-xdist distribution mode (loadscope|load|worksteal|loadfile|no)" + required: false + type: string + default: "loadscope" artifact-name: description: "Unique name for the coverage artifact (must be unique per run)" required: false @@ -124,6 +129,7 @@ jobs: MAX_FAILURES: ${{ inputs.max-failures }} WORKERS: ${{ inputs.workers }} RERUNS: ${{ inputs.reruns }} + DIST: ${{ inputs.dist }} DATABASE_URL: ${{ inputs.enable-postgres && secrets.DATABASE_URL || '' }} run: | if [ "${WORKERS}" = "0" ]; then @@ -143,7 +149,7 @@ jobs: -n "${WORKERS}" \ --reruns "${RERUNS}" \ --reruns-delay 1 \ - --dist=loadscope \ + --dist="${DIST}" \ --durations=20 \ --cov=litellm \ --cov-report=xml:coverage.xml \ diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index a631a7c3005..f8d5bc265a7 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -12,6 +12,18 @@ concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true +# Semantic matrix: each shard groups tests by concern (auth, server, logging, …) +# rather than alphabetical letter ranges. Adding a new test file means adding it +# to whichever group it belongs to, not reshuffling slices. +# +# Design targets: +# * Every shard runs in <= 7 minutes on a 4-core runner. +# * test_key_generate_prisma.py stays serial (workers=0) — it has event-loop +# conflicts with the logging worker when run in parallel. +# * test_proxy_utils.py runs in its own shard with --dist=worksteal so xdist +# spreads its ~64 functions (many parametrized) across workers instead of +# pinning the whole file to a single worker (the default --dist=loadscope +# behavior for single-file targets). jobs: proxy-db: permissions: @@ -22,26 +34,111 @@ jobs: fail-fast: false matrix: include: - # Key generation tests must NOT run in parallel (event loop conflicts with logging worker) + # Must run serially — event-loop conflict with the logging worker. - test-group: key-generation test-path: "tests/proxy_unit_tests/test_key_generate_prisma.py" workers: 0 - timeout: 30 - - test-group: auth-checks - test-path: "tests/proxy_unit_tests/test_auth_checks.py tests/proxy_unit_tests/test_user_api_key_auth.py" - workers: 8 + dist: loadscope timeout: 20 - # test_proxy_utils.py is large (168+ parametrized tests) — run it on its - # own matrix so --dist=loadscope doesn't pin all of it to a single xdist - # worker and push the "remaining" group past the job timeout. + + - test-group: auth-and-jwt + test-path: >- + tests/proxy_unit_tests/test_auth_checks.py + tests/proxy_unit_tests/test_user_api_key_auth.py + tests/proxy_unit_tests/test_jwt.py + tests/proxy_unit_tests/test_jwt_key_mapping.py + tests/proxy_unit_tests/test_proxy_custom_auth.py + tests/proxy_unit_tests/test_key_generate_dynamodb.py + tests/proxy_unit_tests/test_deployed_proxy_keygen.py + workers: 8 + dist: loadscope + timeout: 15 + + # Own shard, --dist=worksteal so parametrized cases fan out across workers. - test-group: proxy-utils test-path: "tests/proxy_unit_tests/test_proxy_utils.py" workers: 8 - timeout: 20 - - test-group: remaining - test-path: "tests/proxy_unit_tests --ignore=tests/proxy_unit_tests/test_key_generate_prisma.py --ignore=tests/proxy_unit_tests/test_auth_checks.py --ignore=tests/proxy_unit_tests/test_user_api_key_auth.py --ignore=tests/proxy_unit_tests/test_proxy_utils.py" + dist: worksteal + timeout: 15 + + - test-group: proxy-server + test-path: >- + tests/proxy_unit_tests/test_proxy_server.py + tests/proxy_unit_tests/test_proxy_server_keys.py + tests/proxy_unit_tests/test_proxy_server_caching.py + tests/proxy_unit_tests/test_proxy_server_langfuse.py + tests/proxy_unit_tests/test_proxy_server_spend.py + tests/proxy_unit_tests/test_aproxy_startup.py + tests/proxy_unit_tests/test_proxy_config_unit_test.py + tests/proxy_unit_tests/test_proxy_routes.py + tests/proxy_unit_tests/test_proxy_gunicorn.py + tests/proxy_unit_tests/test_server_root_path.py + tests/proxy_unit_tests/test_proxy_pass_user_config.py + tests/proxy_unit_tests/test_proxy_token_counter.py workers: 8 - timeout: 30 + dist: loadscope + timeout: 15 + + - test-group: logging-and-callbacks + test-path: >- + tests/proxy_unit_tests/test_custom_callback_input.py + tests/proxy_unit_tests/test_custom_logger_s3_gcs.py + tests/proxy_unit_tests/test_proxy_custom_logger.py + tests/proxy_unit_tests/test_proxy_reject_logging.py + tests/proxy_unit_tests/test_audit_logs_proxy.py + tests/proxy_unit_tests/test_search_api_logging.py + workers: 8 + dist: loadscope + timeout: 15 + + - test-group: db-and-spend + test-path: >- + tests/proxy_unit_tests/test_prisma_client_backoff_retry.py + tests/proxy_unit_tests/test_db_schema_changes.py + tests/proxy_unit_tests/test_db_schema_migration.py + tests/proxy_unit_tests/test_e2e_pod_lock_manager.py + tests/proxy_unit_tests/test_skills_db.py + tests/proxy_unit_tests/test_update_daily_tag_spend.py + tests/proxy_unit_tests/test_update_spend.py + tests/proxy_unit_tests/test_project_endpoints_prisma.py + tests/proxy_unit_tests/test_proxy_encrypt_decrypt.py + workers: 8 + dist: loadscope + timeout: 15 + + - test-group: guardrails-budget-hooks + test-path: >- + tests/proxy_unit_tests/test_proxy_setting_guardrails.py + tests/proxy_unit_tests/test_banned_keyword_list.py + tests/proxy_unit_tests/test_default_end_user_budget_simple.py + tests/proxy_unit_tests/test_unit_test_max_model_budget_limiter.py + tests/proxy_unit_tests/test_zero_cost_model_budget_bypass.py + tests/proxy_unit_tests/test_unit_test_proxy_hooks.py + workers: 8 + dist: loadscope + timeout: 15 + + - test-group: endpoints-and-responses + test-path: >- + tests/proxy_unit_tests/test_blog_posts_endpoint.py + tests/proxy_unit_tests/test_models_fallback_endpoint.py + tests/proxy_unit_tests/test_google_endpoint_routing.py + tests/proxy_unit_tests/test_google_gemini_proxy_request.py + tests/proxy_unit_tests/test_get_favicon.py + tests/proxy_unit_tests/test_get_image.py + tests/proxy_unit_tests/test_ui_path_detection.py + tests/proxy_unit_tests/test_prompt_test_endpoint.py + tests/proxy_unit_tests/test_check_batch_cost.py + tests/proxy_unit_tests/test_check_responses_cost.py + tests/proxy_unit_tests/test_response_polling_handler.py + tests/proxy_unit_tests/test_response_polling_pre_call_checks.py + tests/proxy_unit_tests/test_realtime_cache.py + tests/proxy_unit_tests/test_proxy_exception_mapping.py + tests/proxy_unit_tests/test_custom_tokenizer_bug.py + tests/proxy_unit_tests/test_model_response_typing + workers: 8 + dist: loadscope + timeout: 15 uses: ./.github/workflows/_test-unit-services-base.yml with: test-path: ${{ matrix.test-path }} @@ -49,6 +146,7 @@ jobs: reruns: 2 timeout-minutes: ${{ matrix.timeout }} enable-postgres: true + dist: ${{ matrix.dist }} artifact-name: proxy-db-${{ matrix.test-group }} secrets: DATABASE_URL: ${{ secrets.DATABASE_URL }} diff --git a/.github/workflows/test-unit-proxy-endpoints.yml b/.github/workflows/test-unit-proxy-endpoints.yml index fafc866a3f6..1439b2c07f7 100644 --- a/.github/workflows/test-unit-proxy-endpoints.yml +++ b/.github/workflows/test-unit-proxy-endpoints.yml @@ -36,6 +36,8 @@ jobs: tests/test_litellm/proxy/health_endpoints tests/test_litellm/proxy/public_endpoints tests/test_litellm/proxy/prompts + tests/test_litellm/proxy/rag_endpoints + tests/test_litellm/proxy/realtime_endpoints tests/test_litellm/proxy/ui_crud_endpoints workers: 2 reruns: 2 From 32c390a0f6afd3acc85aed4492aa154d6a2d401d Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 15:01:25 -0700 Subject: [PATCH 144/165] fix(tests): restore proxy_server.master_key in realtime fixture; add shard-coverage guard Two fixes to proxy-db CI: 1. test_realtime_webrtc_endpoints.py's `proxy_app` fixture mutated the module-global `proxy_server.master_key` without restoring it, leaking state into any test that shared the same xdist worker. Under --dist=loadscope with 2 workers (GHA proxy-endpoints), this caused the google_endpoints tests to fail with "No api key passed in." because user_api_key_auth saw a set master_key and a missing API key on the test request. The fixture now saves and restores the original value. 2. Address the Greptile note that the semantic shard design has no catch-all, so a new test file added to tests/proxy_unit_tests/ without a matrix entry would silently skip CI. Adds an assert-shard-coverage job that enumerates test_*.py files and fails the workflow if any are not referenced by a matrix entry, with a clear message telling the author which semantic shard to place it in. All proxy-db shards now depend on this guard. --- .github/workflows/test-unit-proxy-db.yml | 43 +++++++++++++++++++ .../test_realtime_webrtc_endpoints.py | 10 ++++- 2 files changed, 52 insertions(+), 1 deletion(-) diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index f8d5bc265a7..0f2694984e0 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -25,7 +25,50 @@ concurrency: # pinning the whole file to a single worker (the default --dist=loadscope # behavior for single-file targets). jobs: + # Fast guard — fails the workflow if a test_*.py file under + # tests/proxy_unit_tests/ is not referenced by any matrix entry below. + # The semantic-shard design (no catch-all "remaining" bucket) relies on + # every test file being explicitly assigned; this guard prevents a new + # file from silently dropping out of CI. + assert-shard-coverage: + runs-on: ubuntu-latest + timeout-minutes: 2 + permissions: + contents: read + steps: + - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + with: + persist-credentials: false + - name: Assert every test_*.py is in a matrix shard + run: | + python3 - <<'PY' + import pathlib, re, sys, yaml + wf = yaml.safe_load(open(".github/workflows/test-unit-proxy-db.yml")) + matrix = wf["jobs"]["proxy-db"]["strategy"]["matrix"]["include"] + referenced = set() + for entry in matrix: + for token in entry["test-path"].split(): + if token.startswith("tests/proxy_unit_tests/"): + referenced.add(pathlib.PurePosixPath(token).name) + actual = {p.name for p in pathlib.Path("tests/proxy_unit_tests").iterdir() + if p.name.startswith("test_") and (p.suffix == ".py" or p.is_dir()) + and p.name != "test_configs"} + orphans = sorted(actual - referenced) + if orphans: + print("ERROR: the following files/dirs under tests/proxy_unit_tests/") + print(" are not assigned to any shard in test-unit-proxy-db.yml:") + for o in orphans: + print(f" - {o}") + print() + print("Add each to whichever semantic shard (auth-and-jwt, proxy-server,") + print("logging-and-callbacks, db-and-spend, guardrails-budget-hooks,") + print("endpoints-and-responses, proxy-utils, key-generation) it belongs to.") + sys.exit(1) + print(f"OK: all {len(actual)} files assigned to a shard.") + PY + proxy-db: + needs: assert-shard-coverage permissions: contents: read id-token: write diff --git a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py index e414f975f55..99b6335ce8a 100644 --- a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py +++ b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py @@ -116,8 +116,16 @@ def test_decode_realtime_token_payload_ephemeral_key_not_string(): def proxy_app(): from litellm.proxy import proxy_server + # master_key is a module-global — restore it on teardown so this fixture + # doesn't leak state into unrelated tests that share the same xdist worker + # (e.g. tests that assume master_key is None and send unauthenticated + # requests to the shared FastAPI app). + original_master_key = proxy_server.master_key proxy_server.master_key = "sk-test-master-key" - return proxy_server.app + try: + yield proxy_server.app + finally: + proxy_server.master_key = original_master_key @pytest.fixture From c14a73fa59138eaf86c268c1b1879f57d9c7689c Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 15:06:33 -0700 Subject: [PATCH 145/165] fix: make LoggingWorker.flush() wait for in-flight callbacks The previous `while not self._queue.empty(): await self._queue.join()` pattern skipped the join entirely when the worker had already dequeued a task but not yet called task_done(). asyncio.Queue.join() tracks _unfinished_tasks (incremented by put, decremented by task_done), not queue depth, so it already handles that case on its own. --- litellm/litellm_core_utils/logging_worker.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/litellm/litellm_core_utils/logging_worker.py b/litellm/litellm_core_utils/logging_worker.py index 7f00c47c1ff..3db3700ee07 100644 --- a/litellm/litellm_core_utils/logging_worker.py +++ b/litellm/litellm_core_utils/logging_worker.py @@ -370,11 +370,17 @@ class LoggingWorker: self._running_tasks.clear() async def flush(self) -> None: - """Flush the logging queue.""" + """Flush the logging queue. + + Waits until every enqueued task has completed. ``queue.join()`` blocks + on the queue's unfinished-task counter (decremented by ``task_done()``), + so it correctly handles items that have been dequeued but whose + callback hasn't finished yet — ``queue.empty()`` would return True in + that window and cause us to skip the wait. + """ if self._queue is None: return - while not self._queue.empty(): - await self._queue.join() + await self._queue.join() async def clear_queue(self): """ From 4a2deae92c761af4943ab97780c174ab2dd2e68c Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 15:11:12 -0700 Subject: [PATCH 146/165] [Fix] Infra: grant contents:write to create-release-branch caller job The create-branch job in create-release.yml calls the reusable create-release-branch.yml workflow, which requires contents: write. The top-level permissions: {} blocks the inherited default, and only the release job overrode it, so the nested call failed with: The nested job 'create-branch' is requesting 'contents: write', but is only allowed 'contents: none'. Add the permission at the calling job level so the reusable workflow is granted what it needs. --- .github/workflows/create-release.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/create-release.yml b/.github/workflows/create-release.yml index a5b3dd81131..68ab397d827 100644 --- a/.github/workflows/create-release.yml +++ b/.github/workflows/create-release.yml @@ -110,6 +110,8 @@ jobs: create-branch: name: Create Release Branch needs: release + permissions: + contents: write uses: ./.github/workflows/create-release-branch.yml with: tag: ${{ inputs.tag }} From e0201ece1ed854eb317b88620938a0db63e75ac3 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 15:25:37 -0700 Subject: [PATCH 147/165] [Infra] Split slow proxy-db shards to hit 7m wall-clock target Previous run (13.8m total) was bottlenecked by shards with 9-12m wall-clock. Setup + xdist spawn + coverage teardown is ~3m per shard, so each shard's pytest runtime must stay under ~4m to fit inside 7m total. Observed per-shard pytest times (before split): db-and-spend 9:08 (170s outlier: test_aaaasschema_migration_check) proxy-server 7:15 logging-and-callbacks 6:45 guardrails-budget-hooks 6:37 proxy-utils 6:23 auth-and-jwt 6:54 Split 6 shards into 12, keeping key-generation and endpoints-and-responses (already <7m). Adds a `keyword` input to _test-unit-services-base.yml so test_proxy_utils.py can be split by -k expression (same file, two runners). New matrix entries: auth-and-jwt -> auth-checks + jwt-and-keys proxy-server -> proxy-server-core + proxy-runtime logging-and-callbacks -> custom-logging + logging-misc db-and-spend -> schema-migration (isolated 170s test) + db-and-spend guardrails-budget-hooks-> guardrails-hooks + budgets proxy-utils -> proxy-utils-a-h + proxy-utils-i-z (-k split) The -k expression split is verified to cover every one of the 64 test functions in test_proxy_utils.py exactly once. The assert-shard-coverage guard still catches any file not in any shard. --- .../workflows/_test-unit-services-base.yml | 18 ++- .github/workflows/test-unit-proxy-db.yml | 110 +++++++++++++++--- 2 files changed, 107 insertions(+), 21 deletions(-) diff --git a/.github/workflows/_test-unit-services-base.yml b/.github/workflows/_test-unit-services-base.yml index 9de3ac3cf5f..766516d266e 100644 --- a/.github/workflows/_test-unit-services-base.yml +++ b/.github/workflows/_test-unit-services-base.yml @@ -37,6 +37,11 @@ on: required: false type: string default: "loadscope" + keyword: + description: "Optional pytest -k expression to filter tests (e.g. 'test_a or test_c')" + required: false + type: string + default: "" artifact-name: description: "Unique name for the coverage artifact (must be unique per run)" required: false @@ -130,8 +135,15 @@ jobs: WORKERS: ${{ inputs.workers }} RERUNS: ${{ inputs.reruns }} DIST: ${{ inputs.dist }} + KEYWORD: ${{ inputs.keyword }} DATABASE_URL: ${{ inputs.enable-postgres && secrets.DATABASE_URL || '' }} run: | + # Build optional -k filter as an array so expressions with spaces + # (e.g. "test_a or test_b") stay a single argv entry to pytest. + K_ARGS=() + if [ -n "${KEYWORD}" ]; then + K_ARGS=(-k "${KEYWORD}") + fi if [ "${WORKERS}" = "0" ]; then uv run --no-sync pytest ${TEST_PATH:?} \ --tb=short -vv \ @@ -141,7 +153,8 @@ jobs: --durations=20 \ --cov=litellm \ --cov-report=xml:coverage.xml \ - --cov-config=pyproject.toml + --cov-config=pyproject.toml \ + "${K_ARGS[@]}" else uv run --no-sync pytest ${TEST_PATH:?} \ --tb=short -vv \ @@ -153,7 +166,8 @@ jobs: --durations=20 \ --cov=litellm \ --cov-report=xml:coverage.xml \ - --cov-config=pyproject.toml + --cov-config=pyproject.toml \ + "${K_ARGS[@]}" fi - name: Save coverage report diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index 0f2694984e0..b6b6fc0368f 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -17,13 +17,20 @@ concurrency: # to whichever group it belongs to, not reshuffling slices. # # Design targets: -# * Every shard runs in <= 7 minutes on a 4-core runner. +# * Every shard runs in <= 7 minutes of wall-clock on the default runner. +# Setup + xdist worker spawn + coverage teardown is ~3 minutes per shard, +# so each shard's pytest runtime must stay under ~4 minutes. That drives +# the split granularity: shards get subdivided when pytest call time +# exceeds ~4m or any single test exceeds ~3m (it pins one xdist worker). # * test_key_generate_prisma.py stays serial (workers=0) — it has event-loop # conflicts with the logging worker when run in parallel. -# * test_proxy_utils.py runs in its own shard with --dist=worksteal so xdist -# spreads its ~64 functions (many parametrized) across workers instead of -# pinning the whole file to a single worker (the default --dist=loadscope -# behavior for single-file targets). +# * test_proxy_utils.py is split into two -k-filtered shards (by first +# character of the test function name) so its 188 parametrized cases +# fan out across two runners rather than one. --dist=worksteal within +# each shard balances parametrized cases across xdist workers. +# * test_db_schema_migration.py is isolated because one test in it +# (test_aaaasschema_migration_check) takes ~170s — by itself it +# determines the shard's wall-clock floor. jobs: # Fast guard — fails the workflow if a test_*.py file under # tests/proxy_unit_tests/ is not referenced by any matrix entry below. @@ -42,7 +49,7 @@ jobs: - name: Assert every test_*.py is in a matrix shard run: | python3 - <<'PY' - import pathlib, re, sys, yaml + import pathlib, sys, yaml wf = yaml.safe_load(open(".github/workflows/test-unit-proxy-db.yml")) matrix = wf["jobs"]["proxy-db"]["strategy"]["matrix"]["include"] referenced = set() @@ -60,9 +67,7 @@ jobs: for o in orphans: print(f" - {o}") print() - print("Add each to whichever semantic shard (auth-and-jwt, proxy-server,") - print("logging-and-callbacks, db-and-spend, guardrails-budget-hooks,") - print("endpoints-and-responses, proxy-utils, key-generation) it belongs to.") + print("Add each to whichever semantic shard it belongs to.") sys.exit(1) print(f"OK: all {len(actual)} files assigned to a shard.") PY @@ -82,12 +87,20 @@ jobs: test-path: "tests/proxy_unit_tests/test_key_generate_prisma.py" workers: 0 dist: loadscope + keyword: "" timeout: 20 - - test-group: auth-and-jwt + # ---- auth: split into 2 shards (was 1 at ~10.4m wall-clock) ---- + - test-group: auth-checks test-path: >- tests/proxy_unit_tests/test_auth_checks.py tests/proxy_unit_tests/test_user_api_key_auth.py + workers: 8 + dist: loadscope + keyword: "" + timeout: 15 + - test-group: jwt-and-keys + test-path: >- tests/proxy_unit_tests/test_jwt.py tests/proxy_unit_tests/test_jwt_key_mapping.py tests/proxy_unit_tests/test_proxy_custom_auth.py @@ -95,16 +108,38 @@ jobs: tests/proxy_unit_tests/test_deployed_proxy_keygen.py workers: 8 dist: loadscope + keyword: "" timeout: 15 - # Own shard, --dist=worksteal so parametrized cases fan out across workers. - - test-group: proxy-utils + # ---- test_proxy_utils.py split into 2 by -k (was 1 at ~9.7m) ---- + # Same file, same --dist=worksteal, filtered by first char of test + # function name. Keywords below cover all 63 test functions in the + # file. If new functions are added, balance between the two shards. + - test-group: proxy-utils-a-h test-path: "tests/proxy_unit_tests/test_proxy_utils.py" workers: 8 dist: worksteal + keyword: >- + test_add or test_check or test_custom or test_during or + test_dynamic or test_end_user or test_enforced or test_foward or + test_get_admin or test_get_complete or test_get_docs or + test_get_known or test_get_model_group or test_get_openapi or + test_get_redoc or test_get_temp or test_get_user_info or + test_handle or test_health + timeout: 15 + - test-group: proxy-utils-i-z + test-path: "tests/proxy_unit_tests/test_proxy_utils.py" + workers: 8 + dist: worksteal + keyword: >- + test_is or test_litellm or test_merge or test_post_call or + test_prepare or test_provider or test_proxy_config or + test_reading or test_spend or test_team or test_traceparent or + test_update or test_get_key or test_get_team timeout: 15 - - test-group: proxy-server + # ---- proxy server: split into 2 shards (was 1 at ~11.1m) ---- + - test-group: proxy-server-core test-path: >- tests/proxy_unit_tests/test_proxy_server.py tests/proxy_unit_tests/test_proxy_server_keys.py @@ -112,6 +147,12 @@ jobs: tests/proxy_unit_tests/test_proxy_server_langfuse.py tests/proxy_unit_tests/test_proxy_server_spend.py tests/proxy_unit_tests/test_aproxy_startup.py + workers: 8 + dist: loadscope + keyword: "" + timeout: 15 + - test-group: proxy-runtime + test-path: >- tests/proxy_unit_tests/test_proxy_config_unit_test.py tests/proxy_unit_tests/test_proxy_routes.py tests/proxy_unit_tests/test_proxy_gunicorn.py @@ -120,25 +161,44 @@ jobs: tests/proxy_unit_tests/test_proxy_token_counter.py workers: 8 dist: loadscope + keyword: "" timeout: 15 - - test-group: logging-and-callbacks + # ---- logging: split into 2 shards (was 1 at ~10.1m) ---- + - test-group: custom-logging test-path: >- tests/proxy_unit_tests/test_custom_callback_input.py tests/proxy_unit_tests/test_custom_logger_s3_gcs.py tests/proxy_unit_tests/test_proxy_custom_logger.py + workers: 8 + dist: loadscope + keyword: "" + timeout: 15 + - test-group: logging-misc + test-path: >- tests/proxy_unit_tests/test_proxy_reject_logging.py tests/proxy_unit_tests/test_audit_logs_proxy.py tests/proxy_unit_tests/test_search_api_logging.py workers: 8 dist: loadscope + keyword: "" timeout: 15 + # ---- db-and-spend: split out the 170s schema-migration test ---- + # test_db_schema_migration.py has one test that runs ~170s; it + # single-handedly pins one xdist worker and determined the whole + # shard's 12.3m wall-clock. Isolated here so the other 45 tests + # finish faster. + - test-group: schema-migration + test-path: "tests/proxy_unit_tests/test_db_schema_migration.py" + workers: 8 + dist: loadscope + keyword: "" + timeout: 15 - test-group: db-and-spend test-path: >- tests/proxy_unit_tests/test_prisma_client_backoff_retry.py tests/proxy_unit_tests/test_db_schema_changes.py - tests/proxy_unit_tests/test_db_schema_migration.py tests/proxy_unit_tests/test_e2e_pod_lock_manager.py tests/proxy_unit_tests/test_skills_db.py tests/proxy_unit_tests/test_update_daily_tag_spend.py @@ -147,20 +207,30 @@ jobs: tests/proxy_unit_tests/test_proxy_encrypt_decrypt.py workers: 8 dist: loadscope + keyword: "" timeout: 15 - - test-group: guardrails-budget-hooks + # ---- guardrails + budget + hooks: split into 2 (was 1 at ~10.1m) ---- + - test-group: guardrails-hooks test-path: >- tests/proxy_unit_tests/test_proxy_setting_guardrails.py tests/proxy_unit_tests/test_banned_keyword_list.py - tests/proxy_unit_tests/test_default_end_user_budget_simple.py - tests/proxy_unit_tests/test_unit_test_max_model_budget_limiter.py - tests/proxy_unit_tests/test_zero_cost_model_budget_bypass.py tests/proxy_unit_tests/test_unit_test_proxy_hooks.py workers: 8 dist: loadscope + keyword: "" + timeout: 15 + - test-group: budgets + test-path: >- + tests/proxy_unit_tests/test_default_end_user_budget_simple.py + tests/proxy_unit_tests/test_unit_test_max_model_budget_limiter.py + tests/proxy_unit_tests/test_zero_cost_model_budget_bypass.py + workers: 8 + dist: loadscope + keyword: "" timeout: 15 + # Already under 7m; left as a single shard. - test-group: endpoints-and-responses test-path: >- tests/proxy_unit_tests/test_blog_posts_endpoint.py @@ -181,6 +251,7 @@ jobs: tests/proxy_unit_tests/test_model_response_typing workers: 8 dist: loadscope + keyword: "" timeout: 15 uses: ./.github/workflows/_test-unit-services-base.yml with: @@ -190,6 +261,7 @@ jobs: timeout-minutes: ${{ matrix.timeout }} enable-postgres: true dist: ${{ matrix.dist }} + keyword: ${{ matrix.keyword }} artifact-name: proxy-db-${{ matrix.test-group }} secrets: DATABASE_URL: ${{ secrets.DATABASE_URL }} From 584a7cd40fc6e7250df06aaa6c415d10d5329a96 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 15:29:42 -0700 Subject: [PATCH 148/165] [Infra] Clean up proxy-db matrix job display names Default GHA matrix job names join every matrix field, producing unreadable check labels like: 'proxy-db (logging-misc, tests/proxy_unit_tests/test_proxy_reject_logging.py tests/proxy_unit_tests/test_audit_logs_proxy.py ..., 8, loadscope, "", 15)' Set the job's display name to '${{ matrix.test-group }}' so each check shows just 'logging-misc', 'proxy-utils-a-h', etc. --- .github/workflows/test-unit-proxy-db.yml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index b6b6fc0368f..17b564d5b75 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -74,6 +74,10 @@ jobs: proxy-db: needs: assert-shard-coverage + # Display only the semantic shard name in the checks UI instead of GHA's + # default "proxy-db (key-generation, tests/proxy_unit_tests/…, 0, loadscope, "", 20)" + # which includes every matrix field and gets truncated past the test-path. + name: ${{ matrix.test-group }} permissions: contents: read id-token: write From 5df9f397e6d97c0f523f12104ef5e4ec901dafef Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 15:56:27 -0700 Subject: [PATCH 149/165] [Infra] Match xdist workers to runner cores; revert test_proxy_utils -k split Two changes: 1. workers: 8 -> 4 on every non-serial proxy-db shard. ubuntu-latest is a 4-core runner; -n 8 oversubscribes 2x and workers block each other during their cold-start imports (pytest-cov instruments every litellm module per worker). Measured ~441% CPU locally with -n 8 on 8 cores (i.e. ~55% effective). Matching -n to physical cores should give ~2x faster worker startup, which is where most of the ~9m wall-clock per shard goes (7+ minutes is plugin load + xdist imports before any test runs). 2. Revert the -k split on test_proxy_utils.py. It was split into proxy-utils-a-h / proxy-utils-i-z as a semantic-adjacent hack; merge back to a single proxy-utils shard. Still uses --dist=worksteal so xdist can balance the 188 parametrized cases across workers. Also drops the now-unused `keyword` input from _test-unit-services-base.yml and its matching matrix field across all proxy-db entries. Shard count: 14 -> 13 (+ the assert-shard-coverage guard). --- .../workflows/_test-unit-services-base.yml | 18 +--- .github/workflows/test-unit-proxy-db.yml | 92 ++++++------------- 2 files changed, 32 insertions(+), 78 deletions(-) diff --git a/.github/workflows/_test-unit-services-base.yml b/.github/workflows/_test-unit-services-base.yml index 766516d266e..9de3ac3cf5f 100644 --- a/.github/workflows/_test-unit-services-base.yml +++ b/.github/workflows/_test-unit-services-base.yml @@ -37,11 +37,6 @@ on: required: false type: string default: "loadscope" - keyword: - description: "Optional pytest -k expression to filter tests (e.g. 'test_a or test_c')" - required: false - type: string - default: "" artifact-name: description: "Unique name for the coverage artifact (must be unique per run)" required: false @@ -135,15 +130,8 @@ jobs: WORKERS: ${{ inputs.workers }} RERUNS: ${{ inputs.reruns }} DIST: ${{ inputs.dist }} - KEYWORD: ${{ inputs.keyword }} DATABASE_URL: ${{ inputs.enable-postgres && secrets.DATABASE_URL || '' }} run: | - # Build optional -k filter as an array so expressions with spaces - # (e.g. "test_a or test_b") stay a single argv entry to pytest. - K_ARGS=() - if [ -n "${KEYWORD}" ]; then - K_ARGS=(-k "${KEYWORD}") - fi if [ "${WORKERS}" = "0" ]; then uv run --no-sync pytest ${TEST_PATH:?} \ --tb=short -vv \ @@ -153,8 +141,7 @@ jobs: --durations=20 \ --cov=litellm \ --cov-report=xml:coverage.xml \ - --cov-config=pyproject.toml \ - "${K_ARGS[@]}" + --cov-config=pyproject.toml else uv run --no-sync pytest ${TEST_PATH:?} \ --tb=short -vv \ @@ -166,8 +153,7 @@ jobs: --durations=20 \ --cov=litellm \ --cov-report=xml:coverage.xml \ - --cov-config=pyproject.toml \ - "${K_ARGS[@]}" + --cov-config=pyproject.toml fi - name: Save coverage report diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index 17b564d5b75..b9496e39a30 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -18,16 +18,18 @@ concurrency: # # Design targets: # * Every shard runs in <= 7 minutes of wall-clock on the default runner. -# Setup + xdist worker spawn + coverage teardown is ~3 minutes per shard, -# so each shard's pytest runtime must stay under ~4 minutes. That drives -# the split granularity: shards get subdivided when pytest call time -# exceeds ~4m or any single test exceeds ~3m (it pins one xdist worker). +# Most of a shard's time is pytest plugin load + xdist worker imports + +# pytest-cov instrumentation, not the tests themselves. Keeping per-shard +# work low and matching worker count to runner cores is what controls it. +# * workers: 4 matches the 4-core ubuntu-latest runner. -n 8 on 4 cores +# oversubscribes 2x and workers fight for CPU during their cold-start +# imports (measured ~441% CPU for -n 8 locally, i.e. ~55% effective). # * test_key_generate_prisma.py stays serial (workers=0) — it has event-loop # conflicts with the logging worker when run in parallel. -# * test_proxy_utils.py is split into two -k-filtered shards (by first -# character of the test function name) so its 188 parametrized cases -# fan out across two runners rather than one. --dist=worksteal within -# each shard balances parametrized cases across xdist workers. +# * test_proxy_utils.py runs as a single shard with --dist=worksteal so +# xdist balances its 188 parametrized cases across workers instead of +# pinning the whole file to one worker (the default --dist=loadscope +# behavior for single-file targets). # * test_db_schema_migration.py is isolated because one test in it # (test_aaaasschema_migration_check) takes ~170s — by itself it # determines the shard's wall-clock floor. @@ -75,7 +77,7 @@ jobs: proxy-db: needs: assert-shard-coverage # Display only the semantic shard name in the checks UI instead of GHA's - # default "proxy-db (key-generation, tests/proxy_unit_tests/…, 0, loadscope, "", 20)" + # default "proxy-db (key-generation, tests/proxy_unit_tests/…, 0, loadscope, 20)" # which includes every matrix field and gets truncated past the test-path. name: ${{ matrix.test-group }} permissions: @@ -91,17 +93,15 @@ jobs: test-path: "tests/proxy_unit_tests/test_key_generate_prisma.py" workers: 0 dist: loadscope - keyword: "" timeout: 20 - # ---- auth: split into 2 shards (was 1 at ~10.4m wall-clock) ---- + # ---- auth: split into 2 shards ---- - test-group: auth-checks test-path: >- tests/proxy_unit_tests/test_auth_checks.py tests/proxy_unit_tests/test_user_api_key_auth.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - test-group: jwt-and-keys test-path: >- @@ -110,39 +110,18 @@ jobs: tests/proxy_unit_tests/test_proxy_custom_auth.py tests/proxy_unit_tests/test_key_generate_dynamodb.py tests/proxy_unit_tests/test_deployed_proxy_keygen.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - # ---- test_proxy_utils.py split into 2 by -k (was 1 at ~9.7m) ---- - # Same file, same --dist=worksteal, filtered by first char of test - # function name. Keywords below cover all 63 test functions in the - # file. If new functions are added, balance between the two shards. - - test-group: proxy-utils-a-h + # ---- test_proxy_utils.py, single shard, worksteal distribution ---- + - test-group: proxy-utils test-path: "tests/proxy_unit_tests/test_proxy_utils.py" - workers: 8 + workers: 4 dist: worksteal - keyword: >- - test_add or test_check or test_custom or test_during or - test_dynamic or test_end_user or test_enforced or test_foward or - test_get_admin or test_get_complete or test_get_docs or - test_get_known or test_get_model_group or test_get_openapi or - test_get_redoc or test_get_temp or test_get_user_info or - test_handle or test_health - timeout: 15 - - test-group: proxy-utils-i-z - test-path: "tests/proxy_unit_tests/test_proxy_utils.py" - workers: 8 - dist: worksteal - keyword: >- - test_is or test_litellm or test_merge or test_post_call or - test_prepare or test_provider or test_proxy_config or - test_reading or test_spend or test_team or test_traceparent or - test_update or test_get_key or test_get_team timeout: 15 - # ---- proxy server: split into 2 shards (was 1 at ~11.1m) ---- + # ---- proxy server: split into 2 shards ---- - test-group: proxy-server-core test-path: >- tests/proxy_unit_tests/test_proxy_server.py @@ -151,9 +130,8 @@ jobs: tests/proxy_unit_tests/test_proxy_server_langfuse.py tests/proxy_unit_tests/test_proxy_server_spend.py tests/proxy_unit_tests/test_aproxy_startup.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - test-group: proxy-runtime test-path: >- @@ -163,41 +141,37 @@ jobs: tests/proxy_unit_tests/test_server_root_path.py tests/proxy_unit_tests/test_proxy_pass_user_config.py tests/proxy_unit_tests/test_proxy_token_counter.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - # ---- logging: split into 2 shards (was 1 at ~10.1m) ---- + # ---- logging: split into 2 shards ---- - test-group: custom-logging test-path: >- tests/proxy_unit_tests/test_custom_callback_input.py tests/proxy_unit_tests/test_custom_logger_s3_gcs.py tests/proxy_unit_tests/test_proxy_custom_logger.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - test-group: logging-misc test-path: >- tests/proxy_unit_tests/test_proxy_reject_logging.py tests/proxy_unit_tests/test_audit_logs_proxy.py tests/proxy_unit_tests/test_search_api_logging.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - # ---- db-and-spend: split out the 170s schema-migration test ---- + # ---- db-and-spend: isolate the 170s schema-migration test ---- # test_db_schema_migration.py has one test that runs ~170s; it # single-handedly pins one xdist worker and determined the whole # shard's 12.3m wall-clock. Isolated here so the other 45 tests # finish faster. - test-group: schema-migration test-path: "tests/proxy_unit_tests/test_db_schema_migration.py" - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - test-group: db-and-spend test-path: >- @@ -209,32 +183,28 @@ jobs: tests/proxy_unit_tests/test_update_spend.py tests/proxy_unit_tests/test_project_endpoints_prisma.py tests/proxy_unit_tests/test_proxy_encrypt_decrypt.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - # ---- guardrails + budget + hooks: split into 2 (was 1 at ~10.1m) ---- + # ---- guardrails + budget + hooks: split into 2 ---- - test-group: guardrails-hooks test-path: >- tests/proxy_unit_tests/test_proxy_setting_guardrails.py tests/proxy_unit_tests/test_banned_keyword_list.py tests/proxy_unit_tests/test_unit_test_proxy_hooks.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - test-group: budgets test-path: >- tests/proxy_unit_tests/test_default_end_user_budget_simple.py tests/proxy_unit_tests/test_unit_test_max_model_budget_limiter.py tests/proxy_unit_tests/test_zero_cost_model_budget_bypass.py - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 - # Already under 7m; left as a single shard. - test-group: endpoints-and-responses test-path: >- tests/proxy_unit_tests/test_blog_posts_endpoint.py @@ -253,9 +223,8 @@ jobs: tests/proxy_unit_tests/test_proxy_exception_mapping.py tests/proxy_unit_tests/test_custom_tokenizer_bug.py tests/proxy_unit_tests/test_model_response_typing - workers: 8 + workers: 4 dist: loadscope - keyword: "" timeout: 15 uses: ./.github/workflows/_test-unit-services-base.yml with: @@ -265,7 +234,6 @@ jobs: timeout-minutes: ${{ matrix.timeout }} enable-postgres: true dist: ${{ matrix.dist }} - keyword: ${{ matrix.keyword }} artifact-name: proxy-db-${{ matrix.test-group }} secrets: DATABASE_URL: ${{ secrets.DATABASE_URL }} From 1f6e01802de8a9485c5cc9965259865391ec4caf Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Thu, 23 Apr 2026 15:57:22 -0700 Subject: [PATCH 150/165] Show absolute date in Budget Reset column Relative labels ("today", "in 2 days", "on May 12, 2026") mixed three shapes in one column, breaking scannability. Always render MMM D, YYYY for consistency and easier at-a-glance comparison across members. --- ui/litellm-dashboard/src/utils/budgetUtils.ts | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/ui/litellm-dashboard/src/utils/budgetUtils.ts b/ui/litellm-dashboard/src/utils/budgetUtils.ts index ba13528bee1..3d3278db88f 100644 --- a/ui/litellm-dashboard/src/utils/budgetUtils.ts +++ b/ui/litellm-dashboard/src/utils/budgetUtils.ts @@ -4,10 +4,5 @@ export function formatBudgetReset(iso: string | null | undefined): string | null if (!iso) return null; const resetDate = dayjs(iso); if (!resetDate.isValid()) return null; - - const days = resetDate.diff(dayjs(), "day"); - if (days < 0) return `on ${resetDate.format("MMM D, YYYY")}`; - if (days === 0) return "today"; - if (days < 7) return `in ${days} day${days === 1 ? "" : "s"}`; - return `on ${resetDate.format("MMM D, YYYY")}`; + return resetDate.format("MMM D, YYYY"); } From b6d0f6b649bcc36074abb32e59f77d7db84a2511 Mon Sep 17 00:00:00 2001 From: milan-berri Date: Fri, 24 Apr 2026 01:58:02 +0300 Subject: [PATCH 151/165] fix(vertex_ai): use aiplatform.{geo}.rep.googleapis.com for multi-region locations (#26281) Vertex multi-region endpoints (e.g. us, eu) use the rep host pattern, not {geo}-aiplatform.googleapis.com. Regional IDs still contain a hyphen. common_utils.get_vertex_base_url centralizes the rule for SDK/API URL building. Proxy pass-through duplicates the same branching in a local get_vertex_base_url (with trailing slashes) to avoid importing from common_utils there; live WebSocket passthrough uses the same multi-region host logic for wss://. Tests cover us/eu for the common_utils helper. Made-with: Cursor --- litellm/llms/vertex_ai/common_utils.py | 6 ++++ .../llm_passthrough_endpoints.py | 15 +++++----- .../test_vertex_global_url_support.py | 3 ++ .../test_llm_pass_through_endpoints.py | 30 +++++++++++++++++++ 4 files changed, 47 insertions(+), 7 deletions(-) diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py index fb8fd903409..ccd4d4f2934 100644 --- a/litellm/llms/vertex_ai/common_utils.py +++ b/litellm/llms/vertex_ai/common_utils.py @@ -229,6 +229,10 @@ def get_vertex_base_url( ) -> str: """ Get the base URL for Vertex AI API calls. + + - ``global`` uses the global control plane host. + - Multi-region geographies (e.g. ``us``, ``eu``) use ``aiplatform.{geo}.rep.googleapis.com``. + - Regional locations (e.g. ``us-central1``) use ``{region}-aiplatform.googleapis.com``. """ if vertex_location == "global": return "https://aiplatform.googleapis.com" @@ -236,6 +240,8 @@ def get_vertex_base_url( raise ValueError("vertex_location is required") if not re.match(r"^[a-z][a-z0-9-]*$", vertex_location): raise ValueError("Invalid vertex_location format") + if "-" not in vertex_location: + return f"https://aiplatform.{vertex_location}.rep.googleapis.com" return f"https://{vertex_location}-aiplatform.googleapis.com" diff --git a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py index 8a86b98fee2..418715cb9cd 100644 --- a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py +++ b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py @@ -1497,7 +1497,9 @@ class VertexAIPassThroughHandler(BaseVertexAIPassThroughHandler): def get_vertex_base_url(vertex_location: Optional[str]) -> str: """ - Returns the base URL for Vertex AI based on the provided location. + Base URL for Vertex AI pass-through (trailing slash for URL joining). + + Keep location rules aligned with ``litellm.llms.vertex_ai.common_utils.get_vertex_base_url``. """ if vertex_location == "global": return "https://aiplatform.googleapis.com/" @@ -1505,6 +1507,8 @@ def get_vertex_base_url(vertex_location: Optional[str]) -> str: raise ValueError("vertex_location is required") if not re.match(r"^[a-z][a-z0-9-]*$", vertex_location): raise ValueError("Invalid vertex_location format") + if "-" not in vertex_location: + return f"https://aiplatform.{vertex_location}.rep.googleapis.com/" return f"https://{vertex_location}-aiplatform.googleapis.com/" @@ -1708,7 +1712,8 @@ async def _base_vertex_proxy_route( Base function for Vertex AI passthrough routes. Handles common logic for all Vertex AI services. - Default base_target_url is `https://{vertex_location}-aiplatform.googleapis.com/` + Default base_target_url is derived from ``get_vertex_base_url`` in this module + (regional, ``global``, or multi-region ``.rep.`` hosts), with a trailing slash. Args: endpoint: The endpoint path @@ -2280,11 +2285,7 @@ async def vertex_ai_live_websocket_passthrough( return host_location = resolved_location or vertex_llm_base.get_default_vertex_location() - host = ( - "aiplatform.googleapis.com" - if host_location == "global" - else f"{host_location}-aiplatform.googleapis.com" - ) + host = get_vertex_base_url(host_location).removeprefix("https://").rstrip("/") service_url = ( f"wss://{host}/ws/google.cloud.aiplatform.v1.LlmBidiService/BidiGenerateContent" ) diff --git a/tests/test_litellm/llms/vertex_ai/test_vertex_global_url_support.py b/tests/test_litellm/llms/vertex_ai/test_vertex_global_url_support.py index 7b359af9b89..5a007f5a4f6 100644 --- a/tests/test_litellm/llms/vertex_ai/test_vertex_global_url_support.py +++ b/tests/test_litellm/llms/vertex_ai/test_vertex_global_url_support.py @@ -5,6 +5,7 @@ This test suite ensures that all Vertex AI endpoints properly handle the 'global which uses a different URL format than regional endpoints. Regional: https://{region}-aiplatform.googleapis.com/... +Multi-region: https://aiplatform.{geo}.rep.googleapis.com/... Global: https://aiplatform.googleapis.com/... """ @@ -30,6 +31,8 @@ class TestVertexBaseURL: ("europe-west1", "https://europe-west1-aiplatform.googleapis.com"), ("asia-northeast1", "https://asia-northeast1-aiplatform.googleapis.com"), ("global", "https://aiplatform.googleapis.com"), + ("us", "https://aiplatform.us.rep.googleapis.com"), + ("eu", "https://aiplatform.eu.rep.googleapis.com"), ], ) def test_get_vertex_base_url(self, vertex_location, expected_base_url): diff --git a/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py b/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py index cafdff9997e..06748e3f477 100644 --- a/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py +++ b/tests/test_litellm/proxy/pass_through_endpoints/test_llm_pass_through_endpoints.py @@ -21,6 +21,7 @@ from litellm.proxy.pass_through_endpoints.llm_passthrough_endpoints import ( bedrock_llm_proxy_route, create_pass_through_route, cursor_proxy_route, + get_vertex_base_url, llm_passthrough_factory_proxy_route, milvus_proxy_route, openai_proxy_route, @@ -31,6 +32,35 @@ from litellm.proxy.pass_through_endpoints.llm_passthrough_endpoints import ( from litellm.types.passthrough_endpoints.vertex_ai import VertexPassThroughCredentials +class TestVertexPassthroughGetVertexBaseUrl: + """Module-local get_vertex_base_url (trailing slash); rules match common_utils.""" + + @pytest.mark.parametrize( + "vertex_location, expected", + [ + ("global", "https://aiplatform.googleapis.com/"), + ("us-central1", "https://us-central1-aiplatform.googleapis.com/"), + ("us", "https://aiplatform.us.rep.googleapis.com/"), + ("eu", "https://aiplatform.eu.rep.googleapis.com/"), + ], + ) + def test_returns_base_with_trailing_slash(self, vertex_location, expected): + assert get_vertex_base_url(vertex_location) == expected + + @pytest.mark.parametrize( + "vertex_location, expected_host", + [ + ("global", "aiplatform.googleapis.com"), + ("us-central1", "us-central1-aiplatform.googleapis.com"), + ("us", "aiplatform.us.rep.googleapis.com"), + ("eu", "aiplatform.eu.rep.googleapis.com"), + ], + ) + def test_websocket_host_strips_scheme(self, vertex_location, expected_host): + host = get_vertex_base_url(vertex_location).removeprefix("https://").rstrip("/") + assert host == expected_host + + class TestBaseOpenAIPassThroughHandler: def test_join_url_paths(self): print("\nTesting _join_url_paths method...") From 2001d91b279a64f628320b1fcbdb9f099a6891e4 Mon Sep 17 00:00:00 2001 From: milan-berri Date: Fri, 24 Apr 2026 02:21:27 +0300 Subject: [PATCH 152/165] fix(mcp): share temporary MCP OAuth sessions across instances via Redis (#26162) (#26318) Temporary MCP OAuth sessions were kept in process-local memory, so on multi-instance/LB proxy deployments a session created on instance A could not be found when the follow-up /server/oauth/{server_id}/... request landed on instance B. Persist temporary session records to Redis (encrypted with the existing proxy encryption helpers) as a best-effort L2 cache alongside the current in-memory L1. Convert get_cached_temporary_mcp_server to async and await it from the authorize/token/register OAuth endpoints. Made-with: Cursor --- .../mcp_management_endpoints.py | 131 +++++++++- .../test_mcp_management_endpoints.py | 242 +++++++++++++++++- 2 files changed, 356 insertions(+), 17 deletions(-) diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py index f18e699045f..a68c8ca9fa8 100644 --- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py +++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py @@ -52,12 +52,17 @@ from litellm.proxy._experimental.mcp_server.utils import ( from litellm.proxy._experimental.mcp_server.utils import ( validate_and_normalize_mcp_server_payload as _base_validate_and_normalize_mcp_server_payload, ) +from litellm.proxy.common_utils.encrypt_decrypt_utils import ( + decrypt_value_helper, + encrypt_value_helper, +) router = APIRouter(prefix="/v1/mcp", tags=["mcp"]) MCP_AVAILABLE: bool = True TEMPORARY_MCP_SERVER_TTL_SECONDS = 300 +TEMPORARY_MCP_SERVER_REDIS_KEY_PREFIX = "litellm:mcp:temporary_server" def does_mcp_server_exist( @@ -329,13 +334,115 @@ if MCP_AVAILABLE: ) return server - def get_cached_temporary_mcp_server( + async def _cache_temporary_mcp_server_in_redis( + server: MCPServer, ttl_seconds: int + ) -> None: + """ + Best-effort write-through to Redis so temporary MCP OAuth sessions are + shared across proxy instances. Keep local in-memory cache as fallback. + """ + if litellm.cache is None or not hasattr(litellm.cache, "cache"): + return + cache_backend = getattr(litellm.cache, "cache", None) + if cache_backend is None or not hasattr(cache_backend, "async_set_cache"): + return + + payload: Dict[str, Any] = server.model_dump(mode="json") + payload_json = json.dumps(payload) + try: + encrypted_payload = encrypt_value_helper(payload_json) + except Exception as e: + verbose_proxy_logger.debug( + f"Failed to encrypt temporary MCP server payload for Redis cache: {str(e)}" + ) + return + + if not isinstance(encrypted_payload, str): + verbose_proxy_logger.debug( + "Encrypted temporary MCP payload is not a string; skipping Redis cache write" + ) + return + + try: + await cache_backend.async_set_cache( + key=f"{TEMPORARY_MCP_SERVER_REDIS_KEY_PREFIX}:{server.server_id}", + value=encrypted_payload, + ttl=max(1, ttl_seconds), + ) + except Exception as e: + verbose_proxy_logger.debug( + f"Failed to write temporary MCP server to Redis cache: {str(e)}" + ) + + async def _get_temporary_mcp_server_from_redis( + server_id: str, + ) -> Optional[MCPServer]: + """ + Best-effort read from Redis shared cache. Returns None on miss/errors. + + Values must be encrypted strings (same contract as _cache_temporary_mcp_server_in_redis); + legacy plaintext dict payloads are rejected. + """ + if litellm.cache is None or not hasattr(litellm.cache, "cache"): + return None + cache_backend = getattr(litellm.cache, "cache", None) + if cache_backend is None or not hasattr(cache_backend, "async_get_cache"): + return None + + try: + cached_server = await cache_backend.async_get_cache( + key=f"{TEMPORARY_MCP_SERVER_REDIS_KEY_PREFIX}:{server_id}" + ) + except Exception as e: + verbose_proxy_logger.debug( + f"Failed reading temporary MCP server from Redis cache: {str(e)}" + ) + return None + + if not isinstance(cached_server, str): + verbose_proxy_logger.debug( + "Temporary MCP Redis cache value must be an encrypted string; rejecting non-string payload" + ) + return None + + decrypted_json = decrypt_value_helper( + value=cached_server, + key="temporary_mcp_server", + exception_type="debug", + ) + if decrypted_json is None: + return None + try: + loaded = json.loads(decrypted_json) + except Exception as e: + verbose_proxy_logger.debug( + f"Invalid decrypted temporary MCP payload in Redis cache: {str(e)}" + ) + return None + if not isinstance(loaded, dict): + return None + payload_dict: Dict[str, Any] = loaded + + try: + return MCPServer(**payload_dict) + except Exception as e: + verbose_proxy_logger.debug( + f"Invalid temporary MCP server payload in Redis cache: {str(e)}" + ) + return None + + async def get_cached_temporary_mcp_server( server_id: str, ) -> Optional[MCPServer]: _prune_expired_temporary_mcp_servers() entry = _temporary_mcp_servers.get(server_id) if entry is None: - return None + redis_server = await _get_temporary_mcp_server_from_redis(server_id) + if redis_server is None: + return None + # Intentionally avoid repopulating local cache from Redis to prevent + # extending effective lifetime beyond the remaining Redis TTL. + return redis_server return entry.server def _redact_mcp_credentials( @@ -1325,6 +1432,10 @@ if MCP_AVAILABLE: temporary_server, ttl_seconds=TEMPORARY_MCP_SERVER_TTL_SECONDS, ) + await _cache_temporary_mcp_server_in_redis( + temporary_server, + ttl_seconds=TEMPORARY_MCP_SERVER_TTL_SECONDS, + ) except Exception as e: verbose_proxy_logger.exception( f"Error caching temporary mcp server: {str(e)}" @@ -1336,10 +1447,10 @@ if MCP_AVAILABLE: return _redact_mcp_credentials(temp_record) - def _get_cached_temporary_mcp_server_or_404( + async def _get_cached_temporary_mcp_server_or_404( server_id: str, request: Optional[Request] = None ) -> MCPServer: - server = get_cached_temporary_mcp_server(server_id) + server = await get_cached_temporary_mcp_server(server_id) if server is None: # Fall back to real DB/config server (e.g. for the user-side OAuth flow # which calls these endpoints with a real server_id, not a temp session id). @@ -1378,7 +1489,9 @@ if MCP_AVAILABLE: response_type: Optional[str] = None, scope: Optional[str] = None, ): - mcp_server = _get_cached_temporary_mcp_server_or_404(server_id, request=request) + mcp_server = await _get_cached_temporary_mcp_server_or_404( + server_id, request=request + ) # Use the server's stored client_id when the caller doesn't supply one resolved_client_id = mcp_server.client_id or client_id or "" if not resolved_client_id: @@ -1422,7 +1535,9 @@ if MCP_AVAILABLE: refresh_token: Optional[str] = Form(None), scope: Optional[str] = Form(None), ): - mcp_server = _get_cached_temporary_mcp_server_or_404(server_id, request=request) + mcp_server = await _get_cached_temporary_mcp_server_or_404( + server_id, request=request + ) resolved_client_id = mcp_server.client_id or client_id or "" if not resolved_client_id: raise HTTPException( @@ -1458,7 +1573,9 @@ if MCP_AVAILABLE: server_id: str, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), ): - mcp_server = _get_cached_temporary_mcp_server_or_404(server_id, request=request) + mcp_server = await _get_cached_temporary_mcp_server_or_404( + server_id, request=request + ) request_data = await _read_request_body(request=request) data: dict = {**request_data} diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py index c1a1acb4331..442265d3af0 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py @@ -1,6 +1,7 @@ import os import sys import types +import json from datetime import datetime, timedelta from types import SimpleNamespace from typing import List, Optional @@ -1311,7 +1312,8 @@ class TestTemporaryMCPSessionEndpoints: assert cache["temp-cache"].server is server assert cache["temp-cache"].expires_at > datetime.utcnow() - def test_get_cached_temporary_mcp_server_prunes_expired_entries(self): + @pytest.mark.asyncio + async def test_get_cached_temporary_mcp_server_prunes_expired_entries(self): from litellm.proxy.management_endpoints.mcp_management_endpoints import ( _TemporaryMCPServerEntry, get_cached_temporary_mcp_server, @@ -1327,12 +1329,13 @@ class TestTemporaryMCPSessionEndpoints: "litellm.proxy.management_endpoints.mcp_management_endpoints._temporary_mcp_servers", cache, ): - result = get_cached_temporary_mcp_server("expired") + result = await get_cached_temporary_mcp_server("expired") assert result is None assert "expired" not in cache - def test_get_cached_temporary_mcp_server_or_404(self): + @pytest.mark.asyncio + async def test_get_cached_temporary_mcp_server_or_404(self): from litellm.proxy.management_endpoints.mcp_management_endpoints import ( _get_cached_temporary_mcp_server_or_404, ) @@ -1343,17 +1346,17 @@ class TestTemporaryMCPSessionEndpoints: "litellm.proxy.management_endpoints.mcp_management_endpoints.get_cached_temporary_mcp_server", return_value=server, ) as get_cached: - result = _get_cached_temporary_mcp_server_or_404("cached") + result = await _get_cached_temporary_mcp_server_or_404("cached") assert result is server - get_cached.assert_called_once_with("cached") + get_cached.assert_awaited_once_with("cached") with patch( "litellm.proxy.management_endpoints.mcp_management_endpoints.get_cached_temporary_mcp_server", return_value=None, ): with pytest.raises(HTTPException) as exc_info: - _get_cached_temporary_mcp_server_or_404("missing") + await _get_cached_temporary_mcp_server_or_404("missing") assert exc_info.value.status_code == 404 @@ -1403,6 +1406,10 @@ class TestTemporaryMCPSessionEndpoints: "litellm.proxy.management_endpoints.mcp_management_endpoints._cache_temporary_mcp_server", MagicMock(), ) as cache_mock, + patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints._cache_temporary_mcp_server_in_redis", + AsyncMock(), + ) as redis_cache_mock, ): response = await add_session_mcp_server( payload=payload, @@ -1414,6 +1421,9 @@ class TestTemporaryMCPSessionEndpoints: cache_mock.assert_called_once_with( built_server, ttl_seconds=TEMPORARY_MCP_SERVER_TTL_SECONDS ) + redis_cache_mock.assert_awaited_once_with( + built_server, ttl_seconds=TEMPORARY_MCP_SERVER_TTL_SECONDS + ) args, _ = mock_manager.build_mcp_server_from_table.call_args temp_record = args[0] @@ -1486,7 +1496,7 @@ class TestTemporaryMCPSessionEndpoints: ) assert result is authorize_response - get_server.assert_called_once_with("server-1", request=request) + get_server.assert_awaited_once_with("server-1", request=request) authorize_mock.assert_awaited_once_with( request=request, mcp_server=server, @@ -1533,7 +1543,7 @@ class TestTemporaryMCPSessionEndpoints: ) assert result is exchange_response - get_server.assert_called_once_with("server-1", request=request) + get_server.assert_awaited_once_with("server-1", request=request) exchange_mock.assert_awaited_once_with( request=request, mcp_server=server, @@ -1581,7 +1591,7 @@ class TestTemporaryMCPSessionEndpoints: ) assert result is exchange_response - get_server.assert_called_once_with("server-1", request=request) + get_server.assert_awaited_once_with("server-1", request=request) exchange_mock.assert_awaited_once_with( request=request, mcp_server=server, @@ -1628,7 +1638,7 @@ class TestTemporaryMCPSessionEndpoints: result = await mcp_register(request=request, server_id="server-1") assert result is register_response - get_server.assert_called_once_with("server-1", request=request) + get_server.assert_awaited_once_with("server-1", request=request) read_body.assert_awaited_once_with(request=request) register_mock.assert_awaited_once_with( request=request, @@ -1640,6 +1650,218 @@ class TestTemporaryMCPSessionEndpoints: fallback_client_id="server-1", ) + @pytest.mark.asyncio + async def test_get_cached_temporary_mcp_server_falls_back_to_redis(self): + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + get_cached_temporary_mcp_server, + ) + + server = generate_mock_mcp_server_config_record(server_id="from-redis") + serialized = json.dumps(server.model_dump(mode="json")) + mock_cache_backend = SimpleNamespace( + async_get_cache=AsyncMock(return_value="encrypted-payload") + ) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + with patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints._temporary_mcp_servers", + {}, + ), patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.decrypt_value_helper", + return_value=serialized, + ): + result = await get_cached_temporary_mcp_server("from-redis") + finally: + mgmt_endpoints.litellm.cache = original_cache + + assert result is not None + assert result.server_id == "from-redis" + mock_cache_backend.async_get_cache.assert_awaited_once_with( + key="litellm:mcp:temporary_server:from-redis" + ) + + @pytest.mark.asyncio + async def test_cache_temporary_mcp_server_in_redis_uses_ttl_and_key(self): + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _cache_temporary_mcp_server_in_redis, + ) + + server = generate_mock_mcp_server_config_record(server_id="to-redis") + mock_cache_backend = SimpleNamespace(async_set_cache=AsyncMock()) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + with patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.encrypt_value_helper", + return_value="encrypted-payload", + ): + await _cache_temporary_mcp_server_in_redis(server, ttl_seconds=123) + finally: + mgmt_endpoints.litellm.cache = original_cache + + mock_cache_backend.async_set_cache.assert_awaited_once() + call_kwargs = mock_cache_backend.async_set_cache.await_args.kwargs + assert call_kwargs["key"] == "litellm:mcp:temporary_server:to-redis" + assert call_kwargs["ttl"] == 123 + + @pytest.mark.asyncio + async def test_cache_temporary_mcp_server_in_redis_encrypts_payload(self): + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _cache_temporary_mcp_server_in_redis, + ) + + server = generate_mock_mcp_server_config_record(server_id="to-redis-encrypted") + mock_cache_backend = SimpleNamespace(async_set_cache=AsyncMock()) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + with patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.encrypt_value_helper", + return_value="encrypted-payload", + ) as encrypt_mock: + await _cache_temporary_mcp_server_in_redis(server, ttl_seconds=60) + finally: + mgmt_endpoints.litellm.cache = original_cache + + encrypt_mock.assert_called_once() + call_kwargs = mock_cache_backend.async_set_cache.await_args.kwargs + assert call_kwargs["value"] == "encrypted-payload" + + @pytest.mark.asyncio + async def test_get_temporary_mcp_server_from_redis_decrypts_payload(self): + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _get_temporary_mcp_server_from_redis, + ) + + server = generate_mock_mcp_server_config_record(server_id="from-redis-encrypted") + serialized = json.dumps(server.model_dump(mode="json")) + mock_cache_backend = SimpleNamespace( + async_get_cache=AsyncMock(return_value="encrypted-payload") + ) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + with patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.decrypt_value_helper", + return_value=serialized, + ) as decrypt_mock: + result = await _get_temporary_mcp_server_from_redis( + "from-redis-encrypted" + ) + finally: + mgmt_endpoints.litellm.cache = original_cache + + assert result is not None + assert result.server_id == "from-redis-encrypted" + decrypt_mock.assert_called_once() + + @pytest.mark.asyncio + async def test_cache_temporary_mcp_server_in_redis_skips_on_encrypt_failure(self): + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _cache_temporary_mcp_server_in_redis, + ) + + server = generate_mock_mcp_server_config_record(server_id="encrypt-fail") + mock_cache_backend = SimpleNamespace(async_set_cache=AsyncMock()) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + with patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.encrypt_value_helper", + side_effect=Exception("boom"), + ): + await _cache_temporary_mcp_server_in_redis(server, ttl_seconds=60) + finally: + mgmt_endpoints.litellm.cache = original_cache + + mock_cache_backend.async_set_cache.assert_not_awaited() + + @pytest.mark.asyncio + async def test_cache_temporary_mcp_server_in_redis_skips_non_string_encryption_result( + self, + ): + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _cache_temporary_mcp_server_in_redis, + ) + + server = generate_mock_mcp_server_config_record(server_id="encrypt-non-string") + mock_cache_backend = SimpleNamespace(async_set_cache=AsyncMock()) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + with patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.encrypt_value_helper", + return_value={"not": "a-string"}, + ): + await _cache_temporary_mcp_server_in_redis(server, ttl_seconds=60) + finally: + mgmt_endpoints.litellm.cache = original_cache + + mock_cache_backend.async_set_cache.assert_not_awaited() + + @pytest.mark.asyncio + async def test_get_temporary_mcp_server_from_redis_returns_none_on_invalid_decrypt_json( + self, + ): + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _get_temporary_mcp_server_from_redis, + ) + + mock_cache_backend = SimpleNamespace(async_get_cache=AsyncMock(return_value="enc")) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + with patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.decrypt_value_helper", + return_value="{not json}", + ): + result = await _get_temporary_mcp_server_from_redis("bad-json") + finally: + mgmt_endpoints.litellm.cache = original_cache + + assert result is None + + @pytest.mark.asyncio + async def test_get_temporary_mcp_server_from_redis_returns_none_on_decrypt_none(self): + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _get_temporary_mcp_server_from_redis, + ) + + mock_cache_backend = SimpleNamespace(async_get_cache=AsyncMock(return_value="enc")) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + with patch( + "litellm.proxy.management_endpoints.mcp_management_endpoints.decrypt_value_helper", + return_value=None, + ): + result = await _get_temporary_mcp_server_from_redis("decrypt-none") + finally: + mgmt_endpoints.litellm.cache = original_cache + + assert result is None + + @pytest.mark.asyncio + async def test_get_temporary_mcp_server_from_redis_rejects_plain_dict_payload(self): + """Plain dict values in Redis are not accepted (write path is encrypted-only).""" + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + _get_temporary_mcp_server_from_redis, + ) + + server = generate_mock_mcp_server_config_record(server_id="legacy-dict") + mock_cache_backend = SimpleNamespace( + async_get_cache=AsyncMock(return_value=server.model_dump(mode="json")) + ) + original_cache = mgmt_endpoints.litellm.cache + mgmt_endpoints.litellm.cache = SimpleNamespace(cache=mock_cache_backend) + try: + result = await _get_temporary_mcp_server_from_redis("legacy-dict") + finally: + mgmt_endpoints.litellm.cache = original_cache + + assert result is None + class TestUpdateMCPServer: """Test suite for update MCP server functionality""" From 21e08b0bb52af44046cce546c4e4a4a86810e375 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 16:24:40 -0700 Subject: [PATCH 153/165] [Infra] Run schema-migration shard serially (workers: 0) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit test_db_schema_migration.py has exactly one test, and that test is mostly waiting on prisma subprocesses (~170s: prisma migrate deploy + prisma migrate diff). No CPU-bound Python work inside the test body, and only one test in the file means xdist's parallelism is unused regardless. Previous run on commit 5df9f397e6: 10.0m wall-clock for the shard, of which 4:56 was silence between step start and pytest banner — the cost of 4 xdist workers each cold-starting (pytest plugin load + litellm import + pytest-cov instrumentation) so that exactly one of them could pick up the single test. Switching to workers: 0 takes the serial pytest branch in the base workflow, which already handles this case correctly (no -n, no --dist). Single-process startup instead of 4. Expected wall-clock: ~6m. --- .github/workflows/test-unit-proxy-db.yml | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index b9496e39a30..14010d896b5 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -164,13 +164,15 @@ jobs: timeout: 15 # ---- db-and-spend: isolate the 170s schema-migration test ---- - # test_db_schema_migration.py has one test that runs ~170s; it - # single-handedly pins one xdist worker and determined the whole - # shard's 12.3m wall-clock. Isolated here so the other 45 tests - # finish faster. + # test_db_schema_migration.py has exactly one test, and that test + # is mostly waiting on `prisma migrate deploy` / `prisma migrate + # diff` subprocesses (~170s). It does no CPU-bound Python work + # inside the test. Running with workers=0 (serial, no xdist) + # skips the 4-worker cold-start cost we'd otherwise pay for a + # single test, saving ~4 minutes of wall-clock. - test-group: schema-migration test-path: "tests/proxy_unit_tests/test_db_schema_migration.py" - workers: 4 + workers: 0 dist: loadscope timeout: 15 - test-group: db-and-spend From 66bf890226e56d14549c43757833b5fd808f28bf Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 16:32:18 -0700 Subject: [PATCH 154/165] [Infra] Stop attaching push-only postgres workflows to a GHA environment MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The `_test-unit-services-base.yml` reusable workflow attached every job to the `integration-postgres` GHA environment to read three "secrets": DATABASE_URL, POSTGRES_USER, POSTGRES_PASSWORD. These are not secrets — the postgres service container is spawned per-job on localhost and destroyed with the job, so the user/password are bootstrap values for a throwaway container and the URL is always `postgresql://…@localhost:…`. Each environment attachment produces a "temporarily deployed to integration-postgres" deployment record, which the PR timeline renders as a message per matrix shard per push. With 14 proxy-db shards that's ~14 notifications per push, drowning the PR conversation. Changes: * Hardcode POSTGRES_USER/POSTGRES_PASSWORD/POSTGRES_DB and the derived DATABASE_URL in `_test-unit-services-base.yml`. * Delete the `environment: integration-postgres` attachment. * Delete the `secrets:` declarations on the reusable workflow and on the two callers (test-unit-proxy-db.yml, test-unit-security.yml). * The `services:` container still starts a fresh postgres per job; the connection string now matches what the container boots up with. Security review: no regression. The environment wasn't gating anything real — no protection rules configured, no approval gates, and the branch restriction is already enforced by `on: push: branches: [...]` on both caller workflows. Zizmor pedantic-mode findings are identical before and after (same 6 pre-existing findings, zero new ones). The `integration-postgres` environment and its three "secrets" in repo settings are now unreferenced and can be deleted from repo admin. --- .../workflows/_test-unit-services-base.yml | 29 +++++++------------ .github/workflows/test-unit-proxy-db.yml | 4 --- .github/workflows/test-unit-security.yml | 8 ++--- 3 files changed, 14 insertions(+), 27 deletions(-) diff --git a/.github/workflows/_test-unit-services-base.yml b/.github/workflows/_test-unit-services-base.yml index 9de3ac3cf5f..8c47b6d7666 100644 --- a/.github/workflows/_test-unit-services-base.yml +++ b/.github/workflows/_test-unit-services-base.yml @@ -42,36 +42,29 @@ on: required: false type: string default: "run" - secrets: - DATABASE_URL: - required: false - POSTGRES_USER: - required: false - POSTGRES_PASSWORD: - required: false permissions: contents: read +# The postgres service container below is spawned per-job on localhost and +# destroyed with the job. Nothing outside the runner can reach it. The +# user/password/database here are not secrets — they're bootstrap values +# for a throwaway container — so we hardcode them instead of attaching +# every matrix shard to a GHA environment just to read three "secrets" +# (which also produces a "temporarily deployed to …" notification on the +# PR timeline per shard per push). jobs: run: name: Run tests runs-on: ubuntu-latest timeout-minutes: ${{ inputs.timeout-minutes }} - # Environment is derived from the enable-* flags, not caller-controllable. - # This prevents callers from passing arbitrary environment names to bypass secret scoping. - environment: >- - ${{ - inputs.enable-postgres && 'integration-postgres' || - '' - }} services: postgres: image: postgres@sha256:705a5d5b5836f3fcba0d02c4d281e6a7dd9ed2dd4078640f08a1e1e9896e097d # postgres:14 env: - POSTGRES_USER: ${{ secrets.POSTGRES_USER }} - POSTGRES_PASSWORD: ${{ secrets.POSTGRES_PASSWORD }} + POSTGRES_USER: litellm + POSTGRES_PASSWORD: litellm POSTGRES_DB: litellm_test ports: - 5432:5432 @@ -119,7 +112,7 @@ jobs: - name: Run Prisma migrations if: ${{ inputs.enable-postgres }} env: - DATABASE_URL: ${{ secrets.DATABASE_URL }} + DATABASE_URL: "postgresql://litellm:litellm@localhost:5432/litellm_test" run: | uv run --no-sync prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss @@ -130,7 +123,7 @@ jobs: WORKERS: ${{ inputs.workers }} RERUNS: ${{ inputs.reruns }} DIST: ${{ inputs.dist }} - DATABASE_URL: ${{ inputs.enable-postgres && secrets.DATABASE_URL || '' }} + DATABASE_URL: ${{ inputs.enable-postgres && 'postgresql://litellm:litellm@localhost:5432/litellm_test' || '' }} run: | if [ "${WORKERS}" = "0" ]; then uv run --no-sync pytest ${TEST_PATH:?} \ diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index 14010d896b5..49795ad4e8d 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -237,7 +237,3 @@ jobs: enable-postgres: true dist: ${{ matrix.dist }} artifact-name: proxy-db-${{ matrix.test-group }} - secrets: - DATABASE_URL: ${{ secrets.DATABASE_URL }} - POSTGRES_USER: ${{ secrets.POSTGRES_USER }} - POSTGRES_PASSWORD: ${{ secrets.POSTGRES_PASSWORD }} diff --git a/.github/workflows/test-unit-security.yml b/.github/workflows/test-unit-security.yml index 4defa03b4d0..4ee89897024 100644 --- a/.github/workflows/test-unit-security.yml +++ b/.github/workflows/test-unit-security.yml @@ -1,6 +1,8 @@ name: "Unit Tests: Security" -# Uses DATABASE_URL secret — only runs on trusted branches, not PRs. +# Kept push-only (was previously required by DATABASE_URL secret scoping; +# now the postgres credentials are ephemeral localhost values but the +# push-trigger stays to match the proxy-db workflow cadence). on: push: branches: [main, "litellm_**"] @@ -24,7 +26,3 @@ jobs: timeout-minutes: 20 enable-postgres: true artifact-name: security - secrets: - DATABASE_URL: ${{ secrets.DATABASE_URL }} - POSTGRES_USER: ${{ secrets.POSTGRES_USER }} - POSTGRES_PASSWORD: ${{ secrets.POSTGRES_PASSWORD }} From 4d2acafa43cdb94d07c01fbb1d61b11a076f9dd1 Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Thu, 23 Apr 2026 16:52:45 -0700 Subject: [PATCH 155/165] Split MCP routes into inference vs management categories MCP server CRUD endpoints (/v1/mcp/server*) were bundled with MCP tool-call / passthrough endpoints under llm_api_routes, so setting DISABLE_LLM_API_ENDPOINTS=true on admin-only nodes also blocked the Admin UI from listing, adding, or attaching MCP servers. Separate mcp_inference_routes (data-plane, gated by DISABLE_LLM_API_ENDPOINTS) from mcp_management_routes (control-plane, gated by DISABLE_ADMIN_ENDPOINTS). Keep mcp_routes as a union for backward compat with allowed_routes=["mcp_routes"] virtual key configs. Upgrade is_management_route to pattern-aware matching so /v1/mcp/server/{path:path} resolves for concrete IDs. --- litellm/proxy/_types.py | 15 ++++- litellm/proxy/auth/route_checks.py | 6 +- .../proxy/auth/test_route_checks.py | 58 +++++++++++++++++++ .../proxy/auth/test_route_checks.py | 32 ++++++++++ 4 files changed, 106 insertions(+), 5 deletions(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 84a9c4b7931..cd033f67585 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -427,7 +427,8 @@ class LiteLLMRoutes(enum.Enum): "/v1/skills/{skill_id}", ] - mcp_routes = [ + # MCP tool-call / passthrough routes — data-plane. Gated by DISABLE_LLM_API_ENDPOINTS. + mcp_inference_routes = [ "/mcp", "/mcp/", "/mcp/{subpath}", @@ -436,10 +437,18 @@ class LiteLLMRoutes(enum.Enum): "/mcp/tools/call", "/mcp-rest/tools/list", "/mcp-rest/tools/call", + ] + + # MCP server CRUD routes — control-plane. Gated by DISABLE_ADMIN_ENDPOINTS. + mcp_management_routes = [ "/v1/mcp/server", "/v1/mcp/server/{path:path}", ] + # Backwards-compat union — virtual keys may be configured with + # allowed_routes=["mcp_routes"], which should cover both halves. + mcp_routes = mcp_inference_routes + mcp_management_routes + agent_routes = [ "/v1/agents", "/v1/agents/{agent_id}", @@ -477,7 +486,7 @@ class LiteLLMRoutes(enum.Enum): + mapped_pass_through_routes + passthrough_routes_wildcard + apply_guardrail_routes - + mcp_routes + + mcp_inference_routes + litellm_native_routes + agent_routes ) @@ -563,7 +572,7 @@ class LiteLLMRoutes(enum.Enum): "/jwt/key/mapping/delete", "/jwt/key/mapping/list", "/jwt/key/mapping/info", - ] + key_management_routes + ] + key_management_routes + mcp_management_routes spend_tracking_routes = [ # spend diff --git a/litellm/proxy/auth/route_checks.py b/litellm/proxy/auth/route_checks.py index 26bbdef3090..6417307f691 100644 --- a/litellm/proxy/auth/route_checks.py +++ b/litellm/proxy/auth/route_checks.py @@ -300,7 +300,7 @@ class RouteChecks: return True if RouteChecks.check_route_access( - route=route, allowed_routes=LiteLLMRoutes.mcp_routes.value + route=route, allowed_routes=LiteLLMRoutes.mcp_inference_routes.value ): return True @@ -358,7 +358,9 @@ class RouteChecks: """ Check if route is a management route """ - return route in LiteLLMRoutes.management_routes.value + return RouteChecks.check_route_access( + route=route, allowed_routes=LiteLLMRoutes.management_routes.value + ) @staticmethod def is_info_route(route: str) -> bool: diff --git a/tests/enterprise/litellm_enterprise/proxy/auth/test_route_checks.py b/tests/enterprise/litellm_enterprise/proxy/auth/test_route_checks.py index 24e27977963..c147c7aae91 100644 --- a/tests/enterprise/litellm_enterprise/proxy/auth/test_route_checks.py +++ b/tests/enterprise/litellm_enterprise/proxy/auth/test_route_checks.py @@ -252,6 +252,64 @@ class TestEnterpriseRouteChecksModelListExemption: ) +@patch("litellm.proxy.proxy_server.premium_user", True) +class TestEnterpriseRouteChecksMcpManagement: + """Regression tests: MCP management routes (/v1/mcp/server*) must remain + reachable when DISABLE_LLM_API_ENDPOINTS is set on admin nodes, but must be + blocked when DISABLE_ADMIN_ENDPOINTS is set. Uses the real is_llm_api_route + / is_management_route classifiers (not mocks).""" + + @pytest.mark.parametrize( + "route", + [ + "/v1/mcp/server", + "/v1/mcp/server/abc-123", + "/v1/mcp/server/abc-123/approve", + ], + ) + def test_mcp_management_allowed_when_llm_api_disabled(self, route): + with patch.dict(os.environ, {"DISABLE_LLM_API_ENDPOINTS": "true"}, clear=False): + os.environ.pop("DISABLE_ADMIN_ENDPOINTS", None) + # Should not raise — MCP management is a management route, not llm_api. + EnterpriseRouteChecks.should_call_route(route) + + @pytest.mark.parametrize( + "route", + [ + "/v1/mcp/server", + "/v1/mcp/server/abc-123", + ], + ) + def test_mcp_management_blocked_when_admin_disabled(self, route): + with patch.dict(os.environ, {"DISABLE_ADMIN_ENDPOINTS": "true"}, clear=False): + os.environ.pop("DISABLE_LLM_API_ENDPOINTS", None) + with pytest.raises(HTTPException) as exc_info: + EnterpriseRouteChecks.should_call_route(route) + + assert exc_info.value.status_code == 403 + assert "Management routes are disabled for this instance." in str( + exc_info.value.detail + ) + + @pytest.mark.parametrize( + "route", + [ + "/mcp/tools/call", + "/mcp-rest/tools/call", + ], + ) + def test_mcp_inference_still_blocked_when_llm_api_disabled(self, route): + with patch.dict(os.environ, {"DISABLE_LLM_API_ENDPOINTS": "true"}, clear=False): + os.environ.pop("DISABLE_ADMIN_ENDPOINTS", None) + with pytest.raises(HTTPException) as exc_info: + EnterpriseRouteChecks.should_call_route(route) + + assert exc_info.value.status_code == 403 + assert "LLM API routes are disabled for this instance." in str( + exc_info.value.detail + ) + + class TestEnterpriseRouteChecksErrorMessages: """Test that error messages correctly identify which feature requires Enterprise license""" diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py index bca6b9e78d9..bfebc7145dd 100644 --- a/tests/test_litellm/proxy/auth/test_route_checks.py +++ b/tests/test_litellm/proxy/auth/test_route_checks.py @@ -152,6 +152,38 @@ def test_virtual_key_mcp_routes_allows_v1_mcp_server_subpaths(route): assert result is True +@pytest.mark.parametrize( + "route", + [ + "/v1/mcp/server", + "/v1/mcp/server/abc-123", + "/v1/mcp/server/abc-123/approve", + ], +) +def test_mcp_management_routes_classified_as_management_not_llm_api(route): + """MCP server CRUD must be management routes, not llm_api routes, so + DISABLE_LLM_API_ENDPOINTS on admin nodes does not block the Admin UI.""" + + assert RouteChecks.is_llm_api_route(route=route) is False + assert RouteChecks.is_management_route(route=route) is True + + +@pytest.mark.parametrize( + "route", + [ + "/mcp/tools/call", + "/mcp-rest/tools/call", + "/mcp/tools/list", + ], +) +def test_mcp_inference_routes_classified_as_llm_api(route): + """MCP tool-call / passthrough routes must remain llm_api routes so they + continue to be blocked by DISABLE_LLM_API_ENDPOINTS on admin nodes.""" + + assert RouteChecks.is_llm_api_route(route=route) is True + assert RouteChecks.is_management_route(route=route) is False + + def test_virtual_key_allowed_routes_with_litellm_routes_member_name_denied(): """Test that virtual key is denied when route is not in the allowed LiteLLMRoutes group""" From 29e30d9ddbfbc276b11e23965f9836ecfb7917d0 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 16:58:17 -0700 Subject: [PATCH 156/165] =?UTF-8?q?bump:=20version=201.83.12=20=E2=86=92?= =?UTF-8?q?=201.83.13?= 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 41334f830fd..a47d5194a91 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "litellm" -version = "1.83.12" +version = "1.83.13" description = "Library to easily interface with LLM API providers" readme = "README.md" requires-python = ">=3.10, <3.14" @@ -236,7 +236,7 @@ source-exclude = [ profile = "black" [tool.commitizen] -version = "1.83.12" +version = "1.83.13" version_files = [ "pyproject.toml:^version", ] From ffaeff54cd8ad8eaf54c797a5af1c456707e6861 Mon Sep 17 00:00:00 2001 From: Yuneng Jiang Date: Thu, 23 Apr 2026 17:00:20 -0700 Subject: [PATCH 157/165] add uv --- uv.lock | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/uv.lock b/uv.lock index 20f519ca703..d04df0ad4fa 100644 --- a/uv.lock +++ b/uv.lock @@ -9,7 +9,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-04-20T01:21:50.985363Z" +exclude-newer = "2026-04-21T00:00:09.504288Z" exclude-newer-span = "P3D" [manifest] @@ -3085,7 +3085,7 @@ wheels = [ [[package]] name = "litellm" -version = "1.83.12" +version = "1.83.13" source = { editable = "." } dependencies = [ { name = "aiohttp" }, From fbaedc36dcdd72fca9ac2379f53fa015d394b000 Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Thu, 23 Apr 2026 17:01:32 -0700 Subject: [PATCH 158/165] revert TeamInfo budget reset display changes Out of scope for the members-tab feature and regressed legacy teams whose budget_reset_at is null (duration was previously shown as a fallback). --- .../src/components/team/TeamInfo.tsx | 20 ++++--------------- 1 file changed, 4 insertions(+), 16 deletions(-) diff --git a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx index 04b9b53140d..4bc7ff3ea8e 100644 --- a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx @@ -15,7 +15,6 @@ import { teamUpdateCall, } from "@/components/networking"; import { useGuardrails } from "@/app/(dashboard)/hooks/guardrails/useGuardrails"; -import { formatBudgetReset } from "@/utils/budgetUtils"; import { formatNumberWithCommas } from "@/utils/dataUtils"; import { mapEmptyStringToNull } from "@/utils/keyUpdateUtils"; import { isProxyAdminRole } from "@/utils/roles"; @@ -71,7 +70,6 @@ export interface TeamMembership { rpm_limit: number | null; model_max_budget: Record | null; budget_duration: string | null; - budget_reset_at: string | null; allowed_models?: string[] | null; }; } @@ -122,7 +120,6 @@ export interface TeamData { team_member_budget_table: { max_budget: number; budget_duration: string; - budget_reset_at: string | null; tpm_limit: number | null; rpm_limit: number | null; } | null; @@ -735,21 +732,12 @@ const TeamInfoView: React.FC = ({ of {info.max_budget === null ? "Unlimited" : `$${formatNumberWithCommas(info.max_budget, 4)}`} - {formatBudgetReset(info.budget_reset_at) && ( - Resets {formatBudgetReset(info.budget_reset_at)} - )} + {info.budget_duration && Reset: {info.budget_duration}}
{info.team_member_budget_table && ( - <> - - Team Member Budget: ${formatNumberWithCommas(info.team_member_budget_table.max_budget, 4)} - - {formatBudgetReset(info.team_member_budget_table.budget_reset_at) && ( - - Member budgets reset {formatBudgetReset(info.team_member_budget_table.budget_reset_at)} - - )} - + + Team Member Budget: ${formatNumberWithCommas(info.team_member_budget_table.max_budget, 4)} + )} From 6b6b8c74186569c6c2b40b92a3a9db861c7745f0 Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Thu, 23 Apr 2026 17:07:21 -0700 Subject: [PATCH 159/165] restore budget_reset_at on TeamMembership type Members tab column reads this field; dropping it from the type in the previous revert broke the type check without affecting the reverted render logic. --- ui/litellm-dashboard/src/components/team/TeamInfo.tsx | 1 + 1 file changed, 1 insertion(+) diff --git a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx index 4bc7ff3ea8e..302a3a02f1d 100644 --- a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx @@ -70,6 +70,7 @@ export interface TeamMembership { rpm_limit: number | null; model_max_budget: Record | null; budget_duration: string | null; + budget_reset_at: string | null; allowed_models?: string[] | null; }; } From b217ad44d315cfa046569addac5bf729011f0a98 Mon Sep 17 00:00:00 2001 From: shivam Date: Thu, 23 Apr 2026 17:31:37 -0700 Subject: [PATCH 160/165] rerun tests --- litellm/router.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/litellm/router.py b/litellm/router.py index 89275fa9025..37b898deb48 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -6,7 +6,7 @@ # +-----------------------------------------------+ # # Thank you ! We ❤️ you! - Krrish & Ishaan - +#test import asyncio import copy import enum From 812044a80505f3eb1d8f5d3a5fa8f14efa1276cc Mon Sep 17 00:00:00 2001 From: shivam Date: Thu, 23 Apr 2026 17:34:19 -0700 Subject: [PATCH 161/165] rerun tests --- litellm/router.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/litellm/router.py b/litellm/router.py index 37b898deb48..89275fa9025 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -6,7 +6,7 @@ # +-----------------------------------------------+ # # Thank you ! We ❤️ you! - Krrish & Ishaan -#test + import asyncio import copy import enum From 35eef7d92ca244cfa9329d8083da36d9c108945f Mon Sep 17 00:00:00 2001 From: Ryan Crabbe Date: Thu, 23 Apr 2026 17:35:35 -0700 Subject: [PATCH 162/165] chore: apply black formatting to _types.py management_routes block --- litellm/proxy/_types.py | 72 ++++++++++++++++++++++------------------- 1 file changed, 38 insertions(+), 34 deletions(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index cd033f67585..f55489fde20 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -539,40 +539,44 @@ class LiteLLMRoutes(enum.Enum): KeyManagementRoutes.KEY_ALIASES.value, ] - management_routes = [ - # user - "/user/new", - "/user/update", - "/user/bulk_update", - "/user/delete", - "/user/info", - "/user/list", - "/user/daily/activity", - "/user/daily/activity/aggregated", - # team - "/team/new", - "/team/update", - "/team/delete", - "/team/list", - "/v2/team/list", - "/team/info", - "/team/block", - "/team/unblock", - "/team/available", - "/team/permissions_list", - "/team/permissions_update", - "/team/daily/activity", - # model - "/model/new", - "/model/update", - "/model/delete", - "/model/info", - "/jwt/key/mapping/new", - "/jwt/key/mapping/update", - "/jwt/key/mapping/delete", - "/jwt/key/mapping/list", - "/jwt/key/mapping/info", - ] + key_management_routes + mcp_management_routes + management_routes = ( + [ + # user + "/user/new", + "/user/update", + "/user/bulk_update", + "/user/delete", + "/user/info", + "/user/list", + "/user/daily/activity", + "/user/daily/activity/aggregated", + # team + "/team/new", + "/team/update", + "/team/delete", + "/team/list", + "/v2/team/list", + "/team/info", + "/team/block", + "/team/unblock", + "/team/available", + "/team/permissions_list", + "/team/permissions_update", + "/team/daily/activity", + # model + "/model/new", + "/model/update", + "/model/delete", + "/model/info", + "/jwt/key/mapping/new", + "/jwt/key/mapping/update", + "/jwt/key/mapping/delete", + "/jwt/key/mapping/list", + "/jwt/key/mapping/info", + ] + + key_management_routes + + mcp_management_routes + ) spend_tracking_routes = [ # spend From 863f922be8731dcbf0f5b09a72dccfeb3d3041f7 Mon Sep 17 00:00:00 2001 From: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com> Date: Fri, 24 Apr 2026 08:36:25 -0700 Subject: [PATCH 163/165] fix(team_endpoints): auto-add SSO team members to org on move (proxy admin only) (#26377) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix(team_endpoints): auto-add SSO team members to org for proxy admins * test: proxy_admin vs team_admin security boundary for team→org move * screenshots: before/after for team-org SSO fix * fix(team_endpoints): restore staging security features dropped in SSO commit Co-Authored-By: Ishaan Jaff * style: black formatting for team_endpoints --- .github/screenshots/after_org_assigned.png | Bin 0 -> 98136 bytes 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members are also org members. + + For SSO/Entra setups without SCIM, users join teams automatically on login but + are never explicitly added to organizations. This silently upserts missing members + rather than blocking the team move. + """ + org_member_ids = ( + {m.user_id for m in organization.members} if organization.members else set() + ) + for member in team.members_with_roles: + if member.user_id is None: + continue + if member.user_id == SpecialProxyStrings.default_user_id.value: + continue + if member.user_id in org_member_ids: + continue + if organization.organization_id is None: + continue + try: + await add_member_to_organization( + member=OrgMember( + user_id=member.user_id, + role=LitellmUserRoles.INTERNAL_USER, + ), + organization_id=organization.organization_id, + prisma_client=prisma_client, + ) + except Exception as e: + verbose_proxy_logger.debug( + "_auto_add_team_members_to_organization: skipping user_id=%s - %s", + member.user_id, + e, + ) + + async def fetch_and_validate_organization( organization_id: str, existing_team_row: Any, llm_router: Optional[Router], prisma_client: Any, + user_api_key_dict: Optional[UserAPIKeyAuth] = None, ) -> Any: """ Fetch and validate an organization for team update operations. @@ -1294,14 +1340,25 @@ async def fetch_and_validate_organization( }, ) + is_proxy_admin = ( + user_api_key_dict is not None + and user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN + ) + organization = LiteLLM_OrganizationTableWithMembers(**organization_row.model_dump()) validate_team_org_change( team=LiteLLM_TeamTable(**existing_team_row.model_dump()), - organization=LiteLLM_OrganizationTableWithMembers( - **organization_row.model_dump() - ), + organization=organization, llm_router=llm_router, + is_proxy_admin=is_proxy_admin, ) + if is_proxy_admin: + await _auto_add_team_members_to_organization( + team=LiteLLM_TeamTable(**existing_team_row.model_dump()), + organization=organization, + prisma_client=prisma_client, + ) + return organization_row @@ -1309,14 +1366,20 @@ def validate_team_org_change( team: LiteLLM_TeamTable, organization: LiteLLM_OrganizationTableWithMembers, llm_router: Router, + is_proxy_admin: bool = False, ) -> bool: """ Validate that a team can be moved to an organization. - The org must have access to the team's models - The team budget cannot be greater than the org max_budget - - The team's user_id must be a member of the org + - For non-proxy-admins: all team members must already be org members - The team's tpm/rpm limit must be less than the org's tpm/rpm limit + + Proxy admins bypass the membership check and instead trigger auto-add of + missing members (handled by the caller). This supports SSO/Entra setups + where org membership tables are empty but proxy admins still need to group + teams under orgs for budget/model governance. """ # If the team's organization is the same as the new organization, return True @@ -1357,23 +1420,26 @@ def validate_team_org_change( }, ) - # Check if the team's user_id is a member of the org - team_members = [m.user_id for m in team.members_with_roles] - org_members = ( - [m.user_id for m in organization.members] if organization.members else [] - ) - not_in_org = [ - m - for m in team_members - if m not in org_members and m != SpecialProxyStrings.default_user_id.value - ] - if len(not_in_org) > 0: - raise HTTPException( - status_code=403, - detail={ - "error": f"Cannot move team to organization. Team has user_id {not_in_org} that is not a member of the organization." - }, + # For non-proxy-admins, require all team members to already be org members. + # This prevents a team admin from moving their team into an arbitrary org and + # thereby injecting members into that org without org admin approval. + if not is_proxy_admin: + team_members = [m.user_id for m in team.members_with_roles] + org_members = ( + [m.user_id for m in organization.members] if organization.members else [] ) + not_in_org = [ + m + for m in team_members + if m not in org_members and m != SpecialProxyStrings.default_user_id.value + ] + if len(not_in_org) > 0: + raise HTTPException( + status_code=403, + detail={ + "error": f"Cannot move team to organization. Team has user_id {not_in_org} that is not a member of the organization." + }, + ) # Check if the team's tpm/rpm limit is less than the org's tpm/rpm limit if ( @@ -1617,6 +1683,7 @@ async def update_team( # noqa: PLR0915 existing_team_row=existing_team_row, llm_router=llm_router, prisma_client=prisma_client, + user_api_key_dict=user_api_key_dict, ) elif data.organization_id is not None and len(data.organization_id) == 0: # unsetting the organization_id diff --git a/tests/test_litellm/proxy/test_team_org_move.py b/tests/test_litellm/proxy/test_team_org_move.py new file mode 100644 index 00000000000..2dc961bec85 --- /dev/null +++ b/tests/test_litellm/proxy/test_team_org_move.py @@ -0,0 +1,232 @@ +""" +Tests for moving teams to organizations. + +Covers the SSO/Entra scenario where: +- Proxy admins can move teams freely; missing members are auto-added to the org. +- Non-proxy-admins (team admins) must have all team members pre-added to the org, + preserving the original security model (no privilege escalation via team move). +""" +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from litellm.proxy._types import ( + LiteLLM_OrganizationTableWithMembers, + LiteLLM_OrganizationMembershipTable, + LiteLLM_TeamTable, + LitellmUserRoles, + Member, + OrgMember, + SpecialProxyStrings, +) +from litellm.proxy.management_endpoints.team_endpoints import ( + _auto_add_team_members_to_organization, + validate_team_org_change, +) +from litellm.router import Router + + +def _make_org(organization_id="org-1", members=None, models=None): + from datetime import datetime + + return LiteLLM_OrganizationTableWithMembers( + organization_id=organization_id, + organization_alias="test-org", + budget_id="budget-test", + spend=0.0, + metadata={}, + models=models or [], + created_by="default_user_id", + updated_by="default_user_id", + members=members or [], + teams=[], + litellm_budget_table=None, + created_at=datetime.now(), + updated_at=datetime.now(), + ) + + +def _make_team(team_id="team-1", member_ids=None, organization_id=None): + members = [ + Member(user_id=uid, role="user") for uid in (member_ids or []) + ] + members.append(Member(user_id=SpecialProxyStrings.default_user_id.value, role="admin")) + return LiteLLM_TeamTable( + team_id=team_id, + team_alias="test-team", + organization_id=organization_id, + admins=[], + members=[], + members_with_roles=members, + metadata={}, + models=[], + blocked=False, + spend=0.0, + ) + + +def _make_org_membership(user_id): + from datetime import datetime + + return LiteLLM_OrganizationMembershipTable( + user_id=user_id, + organization_id="org-1", + user_role=LitellmUserRoles.INTERNAL_USER, + spend=0.0, + budget_id=None, + created_at=datetime.now(), + updated_at=datetime.now(), + ) + + +class TestValidateTeamOrgChange: + def test_proxy_admin_not_blocked_when_members_not_in_org(self): + """Proxy admins bypass the membership check — auto-add handles it instead.""" + router = MagicMock(spec=Router) + team = _make_team(member_ids=["sso-user-001", "sso-user-002"]) + org = _make_org(members=[]) + + result = validate_team_org_change( + team=team, organization=org, llm_router=router, is_proxy_admin=True + ) + assert result is True + + def test_non_admin_blocked_when_members_not_in_org(self): + """Team admins (non-proxy-admin) must have all members pre-added to the org.""" + router = MagicMock(spec=Router) + team = _make_team(member_ids=["sso-user-001"]) + org = _make_org(members=[]) + + with pytest.raises(Exception) as exc_info: + validate_team_org_change( + team=team, organization=org, llm_router=router, is_proxy_admin=False + ) + assert "403" in str(exc_info.value) or "not a member" in str(exc_info.value) + + def test_non_admin_passes_when_all_members_in_org(self): + """Team admin move succeeds when all team members are already org members.""" + router = MagicMock(spec=Router) + team = _make_team(member_ids=["u1"]) + org = _make_org(members=[_make_org_membership("u1")]) + + result = validate_team_org_change( + team=team, organization=org, llm_router=router, is_proxy_admin=False + ) + assert result is True + + def test_same_org_short_circuits(self): + """Moving to the same org is always a no-op, regardless of role.""" + router = MagicMock(spec=Router) + team = _make_team(member_ids=["u1"], organization_id="org-1") + org = _make_org(organization_id="org-1") + + assert validate_team_org_change( + team=team, organization=org, llm_router=router, is_proxy_admin=False + ) is True + assert validate_team_org_change( + team=team, organization=org, llm_router=router, is_proxy_admin=True + ) is True + + def test_default_user_excluded_from_membership_check(self): + """default_user_id is never checked for org membership.""" + router = MagicMock(spec=Router) + # Team has only default_user_id (added by _make_team) + team = _make_team(member_ids=[]) + org = _make_org(members=[]) + + # Should not raise even for non-proxy-admin + result = validate_team_org_change( + team=team, organization=org, llm_router=router, is_proxy_admin=False + ) + assert result is True + + +class TestAutoAddTeamMembersToOrg: + @pytest.mark.asyncio + async def test_adds_missing_members(self): + team = _make_team(member_ids=["sso-user-001", "sso-user-002"]) + org = _make_org(members=[]) + + mock_add = AsyncMock() + import litellm.proxy.management_endpoints.team_endpoints as te + original = te.add_member_to_organization + te.add_member_to_organization = mock_add + + try: + await _auto_add_team_members_to_organization( + team=team, + organization=org, + prisma_client=MagicMock(), + ) + finally: + te.add_member_to_organization = original + + assert mock_add.call_count == 2 + called_user_ids = { + call.kwargs["member"].user_id for call in mock_add.call_args_list + } + assert called_user_ids == {"sso-user-001", "sso-user-002"} + + @pytest.mark.asyncio + async def test_skips_existing_org_members(self): + team = _make_team(member_ids=["u1", "u2"]) + org = _make_org(members=[_make_org_membership("u1")]) + + mock_add = AsyncMock() + import litellm.proxy.management_endpoints.team_endpoints as te + original = te.add_member_to_organization + te.add_member_to_organization = mock_add + + try: + await _auto_add_team_members_to_organization( + team=team, + organization=org, + prisma_client=MagicMock(), + ) + finally: + te.add_member_to_organization = original + + assert mock_add.call_count == 1 + assert mock_add.call_args.kwargs["member"].user_id == "u2" + + @pytest.mark.asyncio + async def test_skips_default_user(self): + """default_user_id should never be added as an org member.""" + team = _make_team(member_ids=[]) + org = _make_org(members=[]) + + mock_add = AsyncMock() + import litellm.proxy.management_endpoints.team_endpoints as te + original = te.add_member_to_organization + te.add_member_to_organization = mock_add + + try: + await _auto_add_team_members_to_organization( + team=team, + organization=org, + prisma_client=MagicMock(), + ) + finally: + te.add_member_to_organization = original + + assert mock_add.call_count == 0 + + @pytest.mark.asyncio + async def test_logs_and_continues_on_error(self): + """Errors must not propagate — they are logged at DEBUG and skipped.""" + team = _make_team(member_ids=["u1"]) + org = _make_org(members=[]) + + mock_add = AsyncMock(side_effect=Exception("duplicate key")) + import litellm.proxy.management_endpoints.team_endpoints as te + original = te.add_member_to_organization + te.add_member_to_organization = mock_add + + try: + await _auto_add_team_members_to_organization( + team=team, + organization=org, + prisma_client=MagicMock(), + ) + finally: + te.add_member_to_organization = original From 9dcb2bd5282f3a09bd579356198c9e2a584eb167 Mon Sep 17 00:00:00 2001 From: Shivam Rawat Date: Fri, 24 Apr 2026 09:21:13 -0700 Subject: [PATCH 164/165] fix(proxy): respect object-level permissions for managed vector store endpoints (#26351) * fix(proxy): honor object_permission for managed vector store access * perf(proxy): preload team object_permission on UserAPIKeyAuth Populate team_object_permission during virtual-key and JWT auth when the team is loaded, so can_user_access_vector_store uses it in memory first and only falls back to get_object_permission by id when missing. Made-with: Cursor --- litellm/proxy/_types.py | 3 + litellm/proxy/auth/user_api_key_auth.py | 10 ++ .../proxy/vector_store_endpoints/endpoints.py | 49 +++----- .../management_endpoints.py | 55 ++++----- litellm/proxy/vector_store_endpoints/utils.py | 115 +++++++++++++++++- .../test_vector_store_access_control.py | 65 +++++++++- .../test_vector_store_endpoints.py | 58 +++++---- 7 files changed, 260 insertions(+), 95 deletions(-) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 4fe5dc7dd3d..b8e0aa0d128 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -2569,6 +2569,9 @@ class UserAPIKeyAuth( None # Expanded created_by user when expand=user is used ) end_user_object_permission: Optional[LiteLLM_ObjectPermissionTable] = None + # Team object_permission preloaded in auth (e.g. get_team_object) to avoid + # per-request object_permission fetches in downstream checks (vector stores, etc.) + team_object_permission: Optional[LiteLLM_ObjectPermissionTable] = None # Decoded upstream IdP claims (groups, roles, etc.) propagated by JWT auth machinery # and forwarded into outbound tokens by guardrails such as MCPJWTSigner. jwt_claims: Optional[Dict] = None diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index ff4f63593cb..9779a07b97b 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -867,6 +867,11 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 ), jwt_claims=jwt_claims, ) + valid_token.team_object_permission = ( + team_object.object_permission + if team_object is not None + else None + ) # Check if model has zero cost - if so, skip all budget checks model = get_model_from_request(request_data, route) @@ -1452,6 +1457,11 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 else: _team_obj = None + if _team_obj is not None: + valid_token.team_object_permission = _team_obj.object_permission + else: + valid_token.team_object_permission = None + await user_api_key_cache.async_set_cache( key=valid_token.team_id, value=_team_obj ) # save team table in cache - used for tpm/rpm limiting - tpm_rpm_limiter.py diff --git a/litellm/proxy/vector_store_endpoints/endpoints.py b/litellm/proxy/vector_store_endpoints/endpoints.py index b7e3d8de3d3..1fdfad8c96c 100644 --- a/litellm/proxy/vector_store_endpoints/endpoints.py +++ b/litellm/proxy/vector_store_endpoints/endpoints.py @@ -10,6 +10,7 @@ from litellm.proxy._types import CommonProxyErrors, UserAPIKeyAuth from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing from litellm.proxy.utils import jsonify_object +from litellm.proxy.vector_store_endpoints.utils import can_user_access_vector_store from litellm.types.vector_stores import IndexCreateRequest router = APIRouter() @@ -18,40 +19,25 @@ router = APIRouter() ######################################################## -def _check_vector_store_access( +async def _check_vector_store_access( vector_store: LiteLLM_ManagedVectorStore, user_api_key_dict: UserAPIKeyAuth, ) -> bool: """ - Check if the user has access to the vector store based on team membership. + Check if the user has access to the vector store. - Args: - vector_store: The vector store to check access for - user_api_key_dict: User API key authentication info - - Returns: - True if user has access, False otherwise - - Access rules: - - If vector store has no team_id, it's accessible to all (legacy behavior) - - If user's team_id matches the vector store's team_id, access is granted - - Otherwise, access is denied + Delegates to :func:`can_user_access_vector_store`, which honors: + - PROXY_ADMIN bypass + - legacy vector stores with no team_id + - key-level and team-level ``object_permission.vector_stores`` allowlists + - team_id match between key and store """ - vector_store_team_id = vector_store.get("team_id") - - # If vector store has no team_id, it's accessible to all (legacy behavior) - if vector_store_team_id is None: - return True - - # Check if user's team matches the vector store's team - user_team_id = user_api_key_dict.team_id - if user_team_id == vector_store_team_id: - return True - - return False + return await can_user_access_vector_store( + vector_store=vector_store, user_api_key_dict=user_api_key_dict + ) -def _update_request_data_with_litellm_managed_vector_store_registry( +async def _update_request_data_with_litellm_managed_vector_store_registry( data: Dict, vector_store_id: str, user_api_key_dict: Optional[UserAPIKeyAuth] = None, @@ -74,9 +60,8 @@ def _update_request_data_with_litellm_managed_vector_store_registry( ) ) if vector_store_to_run is not None: - # Check access control if user_api_key_dict is provided if user_api_key_dict is not None: - if not _check_vector_store_access( + if not await _check_vector_store_access( vector_store_to_run, user_api_key_dict ): raise HTTPException( @@ -140,7 +125,7 @@ async def vector_store_search( data["vector_store_id"] = vector_store_id # Check for legacy vector store registry (non-managed vector stores) - data = _update_request_data_with_litellm_managed_vector_store_registry( + data = await _update_request_data_with_litellm_managed_vector_store_registry( data=data, vector_store_id=vector_store_id, user_api_key_dict=user_api_key_dict ) @@ -322,7 +307,7 @@ async def vector_store_retrieve( data = {"vector_store_id": vector_store_id} - data = _update_request_data_with_litellm_managed_vector_store_registry( + data = await _update_request_data_with_litellm_managed_vector_store_registry( data=data, vector_store_id=vector_store_id, user_api_key_dict=user_api_key_dict ) @@ -462,7 +447,7 @@ async def vector_store_update( if "vector_store_id" not in data: data["vector_store_id"] = vector_store_id - data = _update_request_data_with_litellm_managed_vector_store_registry( + data = await _update_request_data_with_litellm_managed_vector_store_registry( data=data, vector_store_id=vector_store_id, user_api_key_dict=user_api_key_dict ) @@ -529,7 +514,7 @@ async def vector_store_delete( data = {"vector_store_id": vector_store_id} - data = _update_request_data_with_litellm_managed_vector_store_registry( + data = await _update_request_data_with_litellm_managed_vector_store_registry( data=data, vector_store_id=vector_store_id, user_api_key_dict=user_api_key_dict ) diff --git a/litellm/proxy/vector_store_endpoints/management_endpoints.py b/litellm/proxy/vector_store_endpoints/management_endpoints.py index cf579993660..fefa6cb4e94 100644 --- a/litellm/proxy/vector_store_endpoints/management_endpoints.py +++ b/litellm/proxy/vector_store_endpoints/management_endpoints.py @@ -25,6 +25,7 @@ from litellm.proxy._types import ( from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.common_utils.encrypt_decrypt_utils import decrypt_value_helper from litellm.proxy.common_utils.rbac_utils import check_feature_access_for_user +from litellm.proxy.vector_store_endpoints.utils import can_user_access_vector_store from litellm.secret_managers.main import get_secret from litellm.types.vector_stores import ( LiteLLM_ManagedVectorStore, @@ -274,37 +275,22 @@ async def _resolve_embedding_config( ######################################################## # Helper Functions ######################################################## -def _check_vector_store_access( +async def _check_vector_store_access( vector_store: LiteLLM_ManagedVectorStore, user_api_key_dict: UserAPIKeyAuth, ) -> bool: """ - Check if the user has access to the vector store based on team membership. + Check if the user has access to the vector store. - Args: - vector_store: The vector store to check access for - user_api_key_dict: User API key authentication info - - Returns: - True if user has access, False otherwise - - Access rules: - - If vector store has no team_id, it's accessible to all (legacy behavior) - - If user's team_id matches the vector store's team_id, access is granted - - Otherwise, access is denied + Delegates to :func:`can_user_access_vector_store`, which honors: + - PROXY_ADMIN bypass + - legacy vector stores with no team_id + - key-level and team-level ``object_permission.vector_stores`` allowlists + - team_id match between key and store """ - vector_store_team_id = vector_store.get("team_id") - - # If vector store has no team_id, it's accessible to all (legacy behavior) - if vector_store_team_id is None: - return True - - # Check if user's team matches the vector store's team - user_team_id = user_api_key_dict.team_id - if user_team_id == vector_store_team_id: - return True - - return False + return await can_user_access_vector_store( + vector_store=vector_store, user_api_key_dict=user_api_key_dict + ) async def create_vector_store_in_db( @@ -565,12 +551,11 @@ async def list_vector_stores( vector_store_id=vector_store_id, updated_data=vector_store ) - # Filter vector stores based on team access - accessible_vector_stores = [ - vs - for vs in vector_store_map.values() - if _check_vector_store_access(vs, user_api_key_dict) - ] + # Filter vector stores based on access control + accessible_vector_stores = [] + for vs in vector_store_map.values(): + if await _check_vector_store_access(vs, user_api_key_dict): + accessible_vector_stores.append(vs) total_count = len(accessible_vector_stores) total_pages = (total_count + page_size - 1) // page_size @@ -647,7 +632,7 @@ async def delete_vector_store( ) # Check access control - if vector_store_to_check and not _check_vector_store_access( + if vector_store_to_check and not await _check_vector_store_access( vector_store_to_check, user_api_key_dict ): raise HTTPException( @@ -703,7 +688,9 @@ async def get_vector_store_info( ) if vector_store is not None: # Check access control - if not _check_vector_store_access(vector_store, user_api_key_dict): + if not await _check_vector_store_access( + vector_store, user_api_key_dict + ): raise HTTPException( status_code=403, detail="Access denied: You do not have permission to access this vector store", @@ -749,7 +736,7 @@ async def get_vector_store_info( # Check access control for DB vector store vector_store_dict = vector_store.model_dump() # type: ignore[attr-defined] vector_store_typed = LiteLLM_ManagedVectorStore(**vector_store_dict) - if not _check_vector_store_access(vector_store_typed, user_api_key_dict): + if not await _check_vector_store_access(vector_store_typed, user_api_key_dict): raise HTTPException( status_code=403, detail="Access denied: You do not have permission to access this vector store", diff --git a/litellm/proxy/vector_store_endpoints/utils.py b/litellm/proxy/vector_store_endpoints/utils.py index 5499abb19d5..061a8aaa240 100644 --- a/litellm/proxy/vector_store_endpoints/utils.py +++ b/litellm/proxy/vector_store_endpoints/utils.py @@ -2,11 +2,124 @@ from typing import Any, Dict, Literal, Optional from fastapi import HTTPException, Request -from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth +from litellm._logging import verbose_proxy_logger +from litellm.proxy._types import ( + LiteLLM_ObjectPermissionTable, + LitellmUserRoles, + UserAPIKeyAuth, +) from litellm.types.utils import LlmProviders +from litellm.types.vector_stores import LiteLLM_ManagedVectorStore from litellm.utils import ProviderConfigManager +def _is_proxy_admin(user_api_key_dict: UserAPIKeyAuth) -> bool: + return ( + user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN + or user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value + ) + + +def _object_permission_allows_vector_store( + object_permission: Optional[LiteLLM_ObjectPermissionTable], + vector_store_id: str, +) -> bool: + """Returns True if an object permission explicitly allowlists the vector store.""" + if object_permission is None: + return False + allowed = object_permission.vector_stores + if not allowed: + return False + return vector_store_id in allowed + + +async def _get_object_permission_for_id( + object_permission_id: Optional[str], +) -> Optional[LiteLLM_ObjectPermissionTable]: + """Load an object permission record by id, using the shared cache/DB helper.""" + if not object_permission_id: + return None + + from litellm.proxy.auth.auth_checks import get_object_permission + from litellm.proxy.proxy_server import ( + prisma_client, + proxy_logging_obj, + user_api_key_cache, + ) + + if prisma_client is None: + return None + + try: + return await get_object_permission( + object_permission_id=object_permission_id, + prisma_client=prisma_client, + user_api_key_cache=user_api_key_cache, + proxy_logging_obj=proxy_logging_obj, + ) + except Exception as e: + verbose_proxy_logger.debug( + "Failed to load object_permission id=%s: %s", + object_permission_id, + e, + ) + return None + + +async def can_user_access_vector_store( + vector_store: LiteLLM_ManagedVectorStore, + user_api_key_dict: UserAPIKeyAuth, +) -> bool: + """ + Returns True if the caller is allowed to access this managed vector store. + + Access is granted (first match wins) when any of the following is true: + 1. The caller's role is PROXY_ADMIN. + 2. The vector store has no team_id (legacy behavior - accessible to all). + 3. The caller's key-level object_permission.vector_stores explicitly lists + this vector store id. + 4. The caller's team-level object_permission.vector_stores explicitly lists + this vector store id. + 5. The caller's team_id matches the vector store's team_id. + + Otherwise access is denied. + """ + if _is_proxy_admin(user_api_key_dict): + return True + + vector_store_team_id = vector_store.get("team_id") + if vector_store_team_id is None: + return True + + vector_store_id = vector_store.get("vector_store_id") or "" + + key_object_permission = user_api_key_dict.object_permission + if key_object_permission is None: + key_object_permission = await _get_object_permission_for_id( + user_api_key_dict.object_permission_id + ) + if _object_permission_allows_vector_store(key_object_permission, vector_store_id): + return True + + team_object_permission: Optional[LiteLLM_ObjectPermissionTable] = ( + user_api_key_dict.team_object_permission + ) + if team_object_permission is None: + team_object_permission = await _get_object_permission_for_id( + user_api_key_dict.team_object_permission_id + ) + if _object_permission_allows_vector_store(team_object_permission, vector_store_id): + return True + + if ( + user_api_key_dict.team_id is not None + and user_api_key_dict.team_id == vector_store_team_id + ): + return True + + return False + + def _does_endpoint_match(endpoint_path: str, request_path: str) -> bool: if endpoint_path in request_path: return True diff --git a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_access_control.py b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_access_control.py index 46f0ddcd582..7d72121456a 100644 --- a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_access_control.py +++ b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_access_control.py @@ -11,14 +11,19 @@ from unittest.mock import AsyncMock, MagicMock, patch import pytest from fastapi import HTTPException -from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy._types import ( + LiteLLM_ObjectPermissionTable, + LitellmUserRoles, + UserAPIKeyAuth, +) from litellm.proxy.vector_store_endpoints.management_endpoints import ( _check_vector_store_access, ) from litellm.types.vector_stores import LiteLLM_ManagedVectorStore -def test_check_vector_store_access(): +@pytest.mark.asyncio +async def test_check_vector_store_access(): """Test core access control logic for team-based vector store access""" # Test 1: Legacy vector stores (no team_id) are accessible to all @@ -28,7 +33,7 @@ def test_check_vector_store_access(): "team_id": None, } user = UserAPIKeyAuth(team_id="team_456") - assert _check_vector_store_access(vector_store, user) is True + assert await _check_vector_store_access(vector_store, user) is True # Test 2: User can access their team's vector stores vector_store = { @@ -37,7 +42,7 @@ def test_check_vector_store_access(): "team_id": "team_456", } user = UserAPIKeyAuth(team_id="team_456") - assert _check_vector_store_access(vector_store, user) is True + assert await _check_vector_store_access(vector_store, user) is True # Test 3: User cannot access other teams' vector stores vector_store = { @@ -46,7 +51,57 @@ def test_check_vector_store_access(): "team_id": "team_456", } user = UserAPIKeyAuth(team_id="team_789") - assert _check_vector_store_access(vector_store, user) is False + assert await _check_vector_store_access(vector_store, user) is False + + +@pytest.mark.asyncio +async def test_check_vector_store_access_proxy_admin_bypass(): + """PROXY_ADMIN can access a vector store even if teams don't match.""" + vector_store: LiteLLM_ManagedVectorStore = { + "vector_store_id": "vs_team", + "custom_llm_provider": "openai", + "team_id": "team_456", + } + admin = UserAPIKeyAuth(team_id="team_999", user_role=LitellmUserRoles.PROXY_ADMIN) + assert await _check_vector_store_access(vector_store, admin) is True + + +@pytest.mark.asyncio +async def test_check_vector_store_access_key_object_permission_grants_access(): + """A key whose object_permission.vector_stores allowlists the store can access it + even if its team_id does not match the store's team_id.""" + vector_store: LiteLLM_ManagedVectorStore = { + "vector_store_id": "vs_explicit", + "custom_llm_provider": "openai", + "team_id": "team_456", + } + user = UserAPIKeyAuth( + team_id="team_789", + object_permission=LiteLLM_ObjectPermissionTable( + object_permission_id="op-1", + vector_stores=["vs_explicit"], + ), + ) + assert await _check_vector_store_access(vector_store, user) is True + + +@pytest.mark.asyncio +async def test_check_vector_store_access_key_object_permission_wrong_store_denied(): + """A key whose object_permission.vector_stores lists *other* stores is still denied + when the key has no other reason to access this store.""" + vector_store: LiteLLM_ManagedVectorStore = { + "vector_store_id": "vs_target", + "custom_llm_provider": "openai", + "team_id": "team_456", + } + user = UserAPIKeyAuth( + team_id="team_789", + object_permission=LiteLLM_ObjectPermissionTable( + object_permission_id="op-1", + vector_stores=["vs_other"], + ), + ) + assert await _check_vector_store_access(vector_store, user) is False @pytest.mark.asyncio diff --git a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py index c1dc0cba02c..44cc5cc4452 100644 --- a/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py +++ b/tests/test_litellm/proxy/vector_store_endpoints/test_vector_store_endpoints.py @@ -115,7 +115,8 @@ def test_router_vector_store_file_delete_passes_correct_args(): assert call_kwargs["custom_llm_provider"] == "openai" -def test_update_request_data_with_litellm_managed_vector_store_registry(): +@pytest.mark.asyncio +async def test_update_request_data_with_litellm_managed_vector_store_registry(): """ Test that _update_request_data_with_litellm_managed_vector_store_registry correctly updates request data with vector store registry information. @@ -139,7 +140,7 @@ def test_update_request_data_with_litellm_managed_vector_store_registry(): # Test with vector store registry with patch.object(litellm, "vector_store_registry", mock_registry): - result = _update_request_data_with_litellm_managed_vector_store_registry( + result = await _update_request_data_with_litellm_managed_vector_store_registry( data=data, vector_store_id=vector_store_id ) @@ -158,7 +159,7 @@ def test_update_request_data_with_litellm_managed_vector_store_registry(): # Test with no vector store registry with patch.object(litellm, "vector_store_registry", None): original_data = {"existing_key": "existing_value"} - result = _update_request_data_with_litellm_managed_vector_store_registry( + result = await _update_request_data_with_litellm_managed_vector_store_registry( data=original_data, vector_store_id=vector_store_id ) @@ -1686,10 +1687,26 @@ async def test_new_vector_store_auto_resolves_from_router(): ) +def _stub_user_api_key( + *, + team_id=None, + user_role=None, + object_permission=None, + object_permission_id=None, + team_object_permission_id=None, +): + user = UserAPIKeyAuth(team_id=team_id, user_role=user_role) + user.object_permission = object_permission + user.object_permission_id = object_permission_id + user.team_object_permission_id = team_object_permission_id + return user + + class TestCheckVectorStoreAccess: """Test suite for _check_vector_store_access function.""" - def test_access_granted_when_no_team_id(self): + @pytest.mark.asyncio + async def test_access_granted_when_no_team_id(self): """Test that access is granted when vector store has no team_id (legacy behavior).""" vector_store: LiteLLM_ManagedVectorStore = { "vector_store_id": "test-store", @@ -1697,13 +1714,12 @@ class TestCheckVectorStoreAccess: # No team_id field } - mock_user_api_key = MagicMock(spec=UserAPIKeyAuth) - mock_user_api_key.team_id = "team-123" - - result = _check_vector_store_access(vector_store, mock_user_api_key) + user = _stub_user_api_key(team_id="team-123") + result = await _check_vector_store_access(vector_store, user) assert result is True - def test_access_granted_when_team_ids_match(self): + @pytest.mark.asyncio + async def test_access_granted_when_team_ids_match(self): """Test that access is granted when user's team_id matches vector store's team_id.""" vector_store: LiteLLM_ManagedVectorStore = { "vector_store_id": "test-store", @@ -1711,13 +1727,12 @@ class TestCheckVectorStoreAccess: "team_id": "team-123", } - mock_user_api_key = MagicMock(spec=UserAPIKeyAuth) - mock_user_api_key.team_id = "team-123" - - result = _check_vector_store_access(vector_store, mock_user_api_key) + user = _stub_user_api_key(team_id="team-123") + result = await _check_vector_store_access(vector_store, user) assert result is True - def test_access_denied_when_team_ids_dont_match(self): + @pytest.mark.asyncio + async def test_access_denied_when_team_ids_dont_match(self): """Test that access is denied when user's team_id doesn't match vector store's team_id.""" vector_store: LiteLLM_ManagedVectorStore = { "vector_store_id": "test-store", @@ -1725,13 +1740,12 @@ class TestCheckVectorStoreAccess: "team_id": "team-123", } - mock_user_api_key = MagicMock(spec=UserAPIKeyAuth) - mock_user_api_key.team_id = "team-456" - - result = _check_vector_store_access(vector_store, mock_user_api_key) + user = _stub_user_api_key(team_id="team-456") + result = await _check_vector_store_access(vector_store, user) assert result is False - def test_access_denied_when_vector_store_has_team_id_but_user_doesnt(self): + @pytest.mark.asyncio + async def test_access_denied_when_vector_store_has_team_id_but_user_doesnt(self): """Test that access is denied when vector store has team_id but user doesn't.""" vector_store: LiteLLM_ManagedVectorStore = { "vector_store_id": "test-store", @@ -1739,10 +1753,8 @@ class TestCheckVectorStoreAccess: "team_id": "team-123", } - mock_user_api_key = MagicMock(spec=UserAPIKeyAuth) - mock_user_api_key.team_id = None - - result = _check_vector_store_access(vector_store, mock_user_api_key) + user = _stub_user_api_key(team_id=None) + result = await _check_vector_store_access(vector_store, user) assert result is False From e1466be82523e894fbc07d41e4f5f99dafc705cf Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Fri, 24 Apr 2026 21:58:18 +0530 Subject: [PATCH 165/165] feat(pricing): gemini-embedding-2 GA cost map, blog, and test (#26391) * feat(pricing): gemini-embedding-2 GA cost map, blog, and test - Add model_prices entries for gemini-embedding-2 (Gemini + Vertex paths) - Add docs blog gemini_embedding_2_ga with LiteLLM proxy curl examples - Add test_gemini_embedding_2_ga_in_cost_map in test_utils Made-with: Cursor * Fix greptile reviews --- .../blog/gemini_embedding_2_ga/index.md | 172 ++++++++++++++++++ ...odel_prices_and_context_window_backup.json | 46 +++++ model_prices_and_context_window.json | 46 +++++ tests/test_litellm/test_utils.py | 31 ++++ 4 files changed, 295 insertions(+) create mode 100644 docs/my-website/blog/gemini_embedding_2_ga/index.md diff --git a/docs/my-website/blog/gemini_embedding_2_ga/index.md b/docs/my-website/blog/gemini_embedding_2_ga/index.md new file mode 100644 index 00000000000..ae44449fb90 --- /dev/null +++ b/docs/my-website/blog/gemini_embedding_2_ga/index.md @@ -0,0 +1,172 @@ +--- +slug: gemini_embedding_2_ga +title: "Gemini Embedding 2 (GA): Multimodal Embeddings on LiteLLM" +date: 2026-04-24T10:00:00 +authors: + - sameer +description: "Use generally available gemini-embedding-2 for multimodal embeddings on LiteLLM via Gemini API and Vertex AI—the same flows as preview, stable model id." +tags: [gemini, embeddings, multimodal, vertex ai] +hide_table_of_contents: false +--- + +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + +# Gemini Embedding 2 (GA): Multimodal Embeddings + +Litellm now fully supports Gemini Embedding 2 GA. + +:::info +For end-to-end behavior, input shapes, and MIME types, see the [Gemini Embedding 2 Preview walkthrough](/blog/gemini_embedding_2_multimodal). This post focuses on **GA naming**, **cost map** coverage. +::: + +{/* truncate */} + +## Supported Input Types + +| Modality | Supported Formats | +|----------|-------------------| +| **Text** | Plain text | +| **Image** | PNG, JPEG | +| **Audio** | MP3, WAV | +| **Video** | MP4, MOV | +| **Documents** | PDF | + +## Input Formats + +LiteLLM accepts three input formats for multimodal content: + +1. **Data URIs** – Base64-encoded inline: `data:image/png;base64,` +2. **GCS URLs** – Cloud Storage paths (Vertex AI): `gs://bucket/path/to/file.png` +3. **Gemini File References** – Pre-uploaded files (Gemini API): `files/abc123` + +## Quick Start + + + + +```python +from litellm import embedding +import os + +os.environ["GEMINI_API_KEY"] = "your-api-key" + +# Text + Image (base64) +response = embedding( + model="gemini/gemini-embedding-2", + input=[ + "The food was delicious and the waiter...", + "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAIAQMAAAD+wSzIAAAABlBMVEX///+/v7+jQ3Y5AAAADklEQVQI12P4AIX8EAgALgAD/aNpbtEAAAAASUVORK5CYII" + ], +) +print(response) +``` + + + + + +```python +import litellm +from litellm import embedding + +litellm.vertex_project = "your-project-id" +litellm.vertex_location = "us-central1" + +# Text + Image (GCS URL) +response = embedding( + model="vertex_ai/gemini-embedding-2", + input=[ + "Describe this image", + "gs://my-bucket/images/photo.png" + ], +) +print(response) +``` + + + + + +**1. Config (config.yaml)** + +```yaml +model_list: + - model_name: gemini-embedding-2 + litellm_params: + model: gemini/gemini-embedding-2 + api_key: os.environ/GEMINI_API_KEY + - model_name: vertex-gemini-embedding-2 + litellm_params: + model: vertex_ai/gemini-embedding-2 + vertex_project: os.environ/VERTEXAI_PROJECT + vertex_location: global + +general_settings: + master_key: sk-1234 +``` + +**2. Start proxy** + +```bash +litellm --config config.yaml +``` + +**3. Call embeddings** (OpenAI-compatible **`POST /v1/embeddings`** on the proxy) + +```bash +curl -sS -X POST http://localhost:4000/v1/embeddings \ + -H "Authorization: Bearer sk-1234" \ + -H "Content-Type: application/json" \ + -d '{ + "model": "gemini-embedding-2", + "input": [ + "The food was delicious and the waiter...", + "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAIAQMAAAD+wSzIAAAABlBMVEX///+/v7+jQ3Y5AAAADklEQVQI12P4AIX8EAgALgAD/aNpbtEAAAAASUVORK5CYII" + ] + }' +``` + + + + +## Input Format Examples + +| Format | Example | Provider | +|--------|---------|----------| +| **Data URI** | `data:image/png;base64,...` | Gemini, Vertex AI | +| **GCS URL** | `gs://bucket/path/image.png` | Vertex AI | +| **File reference** | `files/abc123` | Gemini API only | + +### Supported MIME Types for Data URIs + +- **Images:** `image/png`, `image/jpeg` +- **Audio:** `audio/mpeg`, `audio/wav` +- **Video:** `video/mp4`, `video/quicktime` +- **Documents:** `application/pdf` + +### GCS URL MIME Inference + +For Vertex AI, MIME types are inferred from file extensions: + +- `.png` → `image/png` +- `.jpg` / `.jpeg` → `image/jpeg` +- `.mp3` → `audio/mpeg` +- `.wav` → `audio/wav` +- `.mp4` → `video/mp4` +- `.mov` → `video/quicktime` +- `.pdf` → `application/pdf` + +## Optional Parameters + +| Parameter | Description | Maps to | +|-----------|-------------|---------| +| `dimensions` | Output embedding size | `outputDimensionality` | + +```python +response = embedding( + model="gemini/gemini-embedding-2", + input=["text to embed"], + dimensions=768, # Optional: control output vector size +) +``` diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 1cf7c1f6c7b..a77c042cfb8 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -15097,6 +15097,21 @@ "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", "uses_embed_content": true }, + "gemini-embedding-2": { + "input_cost_per_audio_per_second": 0.00016, + "input_cost_per_image": 0.00012, + "input_cost_per_token": 2e-07, + "input_cost_per_video_per_second": 0.00079, + "litellm_provider": "vertex_ai-embedding-models", + "max_input_tokens": 8192, + "max_tokens": 8192, + "mode": "embedding", + "output_cost_per_token": 0, + "output_vector_size": 3072, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", + "supports_multimodal": true, + "uses_embed_content": true + }, "vertex_ai/gemini-embedding-2-preview": { "input_cost_per_audio_per_second": 0.00016, "input_cost_per_image": 0.00012, @@ -15112,6 +15127,21 @@ "supports_multimodal": true, "uses_embed_content": true }, + "vertex_ai/gemini-embedding-2": { + "input_cost_per_audio_per_second": 0.00016, + "input_cost_per_image": 0.00012, + "input_cost_per_token": 2e-07, + "input_cost_per_video_per_second": 0.00079, + "litellm_provider": "vertex_ai", + "max_input_tokens": 8192, + "max_tokens": 8192, + "mode": "embedding", + "output_cost_per_token": 0, + "output_vector_size": 3072, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", + "supports_multimodal": true, + "uses_embed_content": true + }, "gemini-flash-experimental": { "input_cost_per_character": 0, "input_cost_per_token": 0, @@ -15153,6 +15183,22 @@ "supports_multimodal": true, "tpm": 10000000 }, + "gemini/gemini-embedding-2": { + "input_cost_per_audio_per_second": 0.00016, + "input_cost_per_image": 0.00012, + "input_cost_per_token": 2e-07, + "input_cost_per_video_per_second": 0.00079, + "litellm_provider": "gemini", + "max_input_tokens": 8192, + "max_tokens": 8192, + "mode": "embedding", + "output_cost_per_token": 0, + "output_vector_size": 3072, + "rpm": 10000, + "source": "https://ai.google.dev/gemini-api/docs/pricing", + "supports_multimodal": true, + "tpm": 10000000 + }, "gemini/gemini-1.5-flash": { "deprecation_date": "2025-09-29", "input_cost_per_token": 7.5e-08, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 8dcd52cae2d..879349ef0e8 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -15111,6 +15111,21 @@ "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", "uses_embed_content": true }, + "gemini-embedding-2": { + "input_cost_per_audio_per_second": 0.00016, + "input_cost_per_image": 0.00012, + "input_cost_per_token": 2e-07, + "input_cost_per_video_per_second": 0.00079, + "litellm_provider": "vertex_ai-embedding-models", + "max_input_tokens": 8192, + "max_tokens": 8192, + "mode": "embedding", + "output_cost_per_token": 0, + "output_vector_size": 3072, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", + "supports_multimodal": true, + "uses_embed_content": true + }, "vertex_ai/gemini-embedding-2-preview": { "input_cost_per_audio_per_second": 0.00016, "input_cost_per_image": 0.00012, @@ -15126,6 +15141,21 @@ "supports_multimodal": true, "uses_embed_content": true }, + "vertex_ai/gemini-embedding-2": { + "input_cost_per_audio_per_second": 0.00016, + "input_cost_per_image": 0.00012, + "input_cost_per_token": 2e-07, + "input_cost_per_video_per_second": 0.00079, + "litellm_provider": "vertex_ai", + "max_input_tokens": 8192, + "max_tokens": 8192, + "mode": "embedding", + "output_cost_per_token": 0, + "output_vector_size": 3072, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing", + "supports_multimodal": true, + "uses_embed_content": true + }, "gemini-flash-experimental": { "input_cost_per_character": 0, "input_cost_per_token": 0, @@ -15167,6 +15197,22 @@ "supports_multimodal": true, "tpm": 10000000 }, + "gemini/gemini-embedding-2": { + "input_cost_per_audio_per_second": 0.00016, + "input_cost_per_image": 0.00012, + "input_cost_per_token": 2e-07, + "input_cost_per_video_per_second": 0.00079, + "litellm_provider": "gemini", + "max_input_tokens": 8192, + "max_tokens": 8192, + "mode": "embedding", + "output_cost_per_token": 0, + "output_vector_size": 3072, + "rpm": 10000, + "source": "https://ai.google.dev/gemini-api/docs/pricing", + "supports_multimodal": true, + "tpm": 10000000 + }, "gemini/gemini-1.5-flash": { "deprecation_date": "2025-09-29", "input_cost_per_token": 7.5e-08, diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py index 67b62696196..c475d6461b8 100644 --- a/tests/test_litellm/test_utils.py +++ b/tests/test_litellm/test_utils.py @@ -2794,6 +2794,37 @@ def test_model_info_for_openrouter_kimi_k2_5(): print("openrouter kimi-k2.5 model info", model_info) +def test_gemini_embedding_2_ga_in_cost_map(): + """GA gemini-embedding-2 entries align with preview multimodal unit pricing.""" + import json + from pathlib import Path + + json_path = Path(__file__).parents[2] / "model_prices_and_context_window.json" + with open(json_path) as f: + model_cost = json.load(f) + + for key, provider in ( + ("gemini/gemini-embedding-2", "gemini"), + ("vertex_ai/gemini-embedding-2", "vertex_ai"), + ("gemini-embedding-2", "vertex_ai-embedding-models"), + ): + info = model_cost.get(key) + assert ( + info is not None + ), f"{key} missing from model_prices_and_context_window.json" + assert info["litellm_provider"] == provider + assert info.get("mode") == "embedding" + assert info.get("supports_multimodal") is True + assert info.get("input_cost_per_token") == 2e-07 + assert info.get("input_cost_per_image") == 0.00012 + assert info.get("input_cost_per_audio_per_second") == 0.00016 + assert info.get("input_cost_per_video_per_second") == 0.00079 + if provider in ("vertex_ai-embedding-models", "vertex_ai"): + assert info.get("uses_embed_content") is True, ( + f"{key} must have uses_embed_content=true for correct Vertex AI routing" + ) + + def test_gemini_lyria_3_preview_models_in_cost_map(): import json from pathlib import Path