From eb301a7f87a48952dfc4ea3f69b6812fe96a6082 Mon Sep 17 00:00:00 2001 From: Marty Sullivan Date: Tue, 18 Nov 2025 22:58:06 -0500 Subject: [PATCH 001/227] Add Azure models 2025 11 to cost maps (#16762) * add gpt-realtime models for azure * update backup models w/ azure realtime * add azure gpt-5.1 models to cost map * add gpt-audio azure models to cost map * add gpt-4o-transcribe-diarize azure model cost --- ...odel_prices_and_context_window_backup.json | 275 ++++++++++++++++++ model_prices_and_context_window.json | 275 ++++++++++++++++++ 2 files changed, 550 insertions(+) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 351e01bc45e..e77e67bf70d 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -1987,6 +1987,68 @@ "supports_tool_choice": true, "supports_vision": true }, + "azure/gpt-audio-2025-08-28": { + "input_cost_per_audio_token": 4e-05, + "input_cost_per_token": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_audio_token": 8e-05, + "output_cost_per_token": 1e-05, + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supported_modalities": [ + "text", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_prompt_caching": false, + "supports_reasoning": false, + "supports_response_schema": false, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": false + }, + "azure/gpt-audio-mini-2025-10-06": { + "input_cost_per_audio_token": 1e-05, + "input_cost_per_token": 6e-07, + "litellm_provider": "azure", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_audio_token": 2e-05, + "output_cost_per_token": 2.4e-06, + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supported_modalities": [ + "text", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_prompt_caching": false, + "supports_reasoning": false, + "supports_response_schema": false, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": false + }, "azure/gpt-4o-audio-preview-2024-12-17": { "input_cost_per_audio_token": 4e-05, "input_cost_per_token": 2.5e-06, @@ -2100,6 +2162,70 @@ "supports_system_messages": true, "supports_tool_choice": true }, + "azure/gpt-realtime-2025-08-28": { + "cache_creation_input_audio_token_cost": 4e-06, + "cache_read_input_token_cost": 4e-06, + "input_cost_per_audio_token": 3.2e-05, + "input_cost_per_image": 5e-06, + "input_cost_per_token": 4e-06, + "litellm_provider": "azure", + "max_input_tokens": 32000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_audio_token": 6.4e-05, + "output_cost_per_token": 1.6e-05, + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "text", + "image", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true + }, + "azure/gpt-realtime-mini-2025-10-06": { + "cache_creation_input_audio_token_cost": 3e-07, + "cache_read_input_token_cost": 6e-08, + "input_cost_per_audio_token": 1e-05, + "input_cost_per_image": 8e-07, + "input_cost_per_token": 6e-07, + "litellm_provider": "azure", + "max_input_tokens": 32000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_audio_token": 2e-05, + "output_cost_per_token": 2.4e-06, + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "text", + "image", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true + }, "azure/gpt-4o-mini-transcribe": { "input_cost_per_audio_token": 3e-06, "input_cost_per_token": 1.25e-06, @@ -2187,6 +2313,155 @@ "/v1/audio/transcriptions" ] }, + "azure/gpt-4o-transcribe-diarize": { + "input_cost_per_audio_token": 6e-06, + "input_cost_per_token": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 16000, + "max_output_tokens": 2000, + "mode": "audio_transcription", + "output_cost_per_token": 1e-05, + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "azure/gpt-5.1-2025-11-13": { + "cache_read_input_token_cost": 1.25e-07, + "cache_read_input_token_cost_priority": 2.5e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_priority": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 1e-05, + "output_cost_per_token_priority": 2e-05, + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text", + "image" + ], + "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 + }, + "azure/gpt-5.1-chat-2025-11-13": { + "cache_read_input_token_cost": 1.25e-07, + "cache_read_input_token_cost_priority": 2.5e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_priority": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_token": 1e-05, + "output_cost_per_token_priority": 2e-05, + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text", + "image" + ], + "supports_function_calling": false, + "supports_native_streaming": true, + "supports_parallel_function_calling": false, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": false, + "supports_vision": true + }, + "azure/gpt-5.1-codex-2025-11-13": { + "cache_read_input_token_cost": 1.25e-07, + "cache_read_input_token_cost_priority": 2.5e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_priority": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "responses", + "output_cost_per_token": 1e-05, + "output_cost_per_token_priority": 2e-05, + "supported_endpoints": [ + "/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": false, + "supports_tool_choice": true, + "supports_vision": true + }, + "azure/gpt-5.1-codex-mini-2025-11-13": { + "cache_read_input_token_cost": 2.5e-08, + "cache_read_input_token_cost_priority": 4.5e-08, + "input_cost_per_token": 2.5e-07, + "input_cost_per_token_priority": 4.5e-07, + "litellm_provider": "azure", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "responses", + "output_cost_per_token": 2e-06, + "output_cost_per_token_priority": 3.6e-06, + "supported_endpoints": [ + "/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": false, + "supports_tool_choice": true, + "supports_vision": true + }, "azure/gpt-5": { "cache_read_input_token_cost": 1.25e-07, "input_cost_per_token": 1.25e-06, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 351e01bc45e..e77e67bf70d 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -1987,6 +1987,68 @@ "supports_tool_choice": true, "supports_vision": true }, + "azure/gpt-audio-2025-08-28": { + "input_cost_per_audio_token": 4e-05, + "input_cost_per_token": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_audio_token": 8e-05, + "output_cost_per_token": 1e-05, + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supported_modalities": [ + "text", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_prompt_caching": false, + "supports_reasoning": false, + "supports_response_schema": false, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": false + }, + "azure/gpt-audio-mini-2025-10-06": { + "input_cost_per_audio_token": 1e-05, + "input_cost_per_token": 6e-07, + "litellm_provider": "azure", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_audio_token": 2e-05, + "output_cost_per_token": 2.4e-06, + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supported_modalities": [ + "text", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_prompt_caching": false, + "supports_reasoning": false, + "supports_response_schema": false, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": false + }, "azure/gpt-4o-audio-preview-2024-12-17": { "input_cost_per_audio_token": 4e-05, "input_cost_per_token": 2.5e-06, @@ -2100,6 +2162,70 @@ "supports_system_messages": true, "supports_tool_choice": true }, + "azure/gpt-realtime-2025-08-28": { + "cache_creation_input_audio_token_cost": 4e-06, + "cache_read_input_token_cost": 4e-06, + "input_cost_per_audio_token": 3.2e-05, + "input_cost_per_image": 5e-06, + "input_cost_per_token": 4e-06, + "litellm_provider": "azure", + "max_input_tokens": 32000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_audio_token": 6.4e-05, + "output_cost_per_token": 1.6e-05, + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "text", + "image", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true + }, + "azure/gpt-realtime-mini-2025-10-06": { + "cache_creation_input_audio_token_cost": 3e-07, + "cache_read_input_token_cost": 6e-08, + "input_cost_per_audio_token": 1e-05, + "input_cost_per_image": 8e-07, + "input_cost_per_token": 6e-07, + "litellm_provider": "azure", + "max_input_tokens": 32000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_audio_token": 2e-05, + "output_cost_per_token": 2.4e-06, + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "text", + "image", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true + }, "azure/gpt-4o-mini-transcribe": { "input_cost_per_audio_token": 3e-06, "input_cost_per_token": 1.25e-06, @@ -2187,6 +2313,155 @@ "/v1/audio/transcriptions" ] }, + "azure/gpt-4o-transcribe-diarize": { + "input_cost_per_audio_token": 6e-06, + "input_cost_per_token": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 16000, + "max_output_tokens": 2000, + "mode": "audio_transcription", + "output_cost_per_token": 1e-05, + "supported_endpoints": [ + "/v1/audio/transcriptions" + ] + }, + "azure/gpt-5.1-2025-11-13": { + "cache_read_input_token_cost": 1.25e-07, + "cache_read_input_token_cost_priority": 2.5e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_priority": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 1e-05, + "output_cost_per_token_priority": 2e-05, + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text", + "image" + ], + "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 + }, + "azure/gpt-5.1-chat-2025-11-13": { + "cache_read_input_token_cost": 1.25e-07, + "cache_read_input_token_cost_priority": 2.5e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_priority": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_token": 1e-05, + "output_cost_per_token_priority": 2e-05, + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text", + "image" + ], + "supports_function_calling": false, + "supports_native_streaming": true, + "supports_parallel_function_calling": false, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": false, + "supports_vision": true + }, + "azure/gpt-5.1-codex-2025-11-13": { + "cache_read_input_token_cost": 1.25e-07, + "cache_read_input_token_cost_priority": 2.5e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_priority": 2.5e-06, + "litellm_provider": "azure", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "responses", + "output_cost_per_token": 1e-05, + "output_cost_per_token_priority": 2e-05, + "supported_endpoints": [ + "/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": false, + "supports_tool_choice": true, + "supports_vision": true + }, + "azure/gpt-5.1-codex-mini-2025-11-13": { + "cache_read_input_token_cost": 2.5e-08, + "cache_read_input_token_cost_priority": 4.5e-08, + "input_cost_per_token": 2.5e-07, + "input_cost_per_token_priority": 4.5e-07, + "litellm_provider": "azure", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "responses", + "output_cost_per_token": 2e-06, + "output_cost_per_token_priority": 3.6e-06, + "supported_endpoints": [ + "/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": false, + "supports_tool_choice": true, + "supports_vision": true + }, "azure/gpt-5": { "cache_read_input_token_cost": 1.25e-07, "input_cost_per_token": 1.25e-06, From 9e93d65ee2bd6316300b9f4cad651a318f872753 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Wed, 19 Nov 2025 09:35:47 +0530 Subject: [PATCH 002/227] Add extra_body support for response api params from chat completion (#16765) --- .../transformation.py | 39 +++++++++++++++++-- ...responses_transformation_transformation.py | 36 +++++++++++++++++ 2 files changed, 72 insertions(+), 3 deletions(-) diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py index 8c3ebd51036..54d32fe3466 100644 --- a/litellm/completion_extras/litellm_responses_transformation/transformation.py +++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py @@ -26,7 +26,11 @@ from litellm.llms.base_llm.base_model_iterator import BaseModelResponseIterator from litellm.llms.base_llm.bridges.completion_transformation import ( CompletionTransformationBridge, ) -from litellm.types.llms.openai import ChatCompletionToolParamFunctionChunk, Reasoning +from litellm.types.llms.openai import ( + ChatCompletionToolParamFunctionChunk, + Reasoning, + ResponsesAPIOptionalRequestParams, +) if TYPE_CHECKING: from openai.types.responses import ResponseInputImageParam @@ -165,13 +169,13 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): litellm_logging_obj: "LiteLLMLoggingObj", client: Optional[Any] = None, ) -> dict: - from litellm.types.llms.openai import ResponsesAPIOptionalRequestParams - ( input_items, instructions, ) = self.convert_chat_completion_messages_to_responses_api(messages) + optional_params = self._extract_extra_body_params(optional_params) + # Build responses API request using the reverse transformation logic responses_api_request = ResponsesAPIOptionalRequestParams() @@ -538,6 +542,35 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): return cast(List["ALL_RESPONSES_API_TOOL_PARAMS"], responses_tools) + def _extract_extra_body_params(self, optional_params: dict): + """ + Extract extra_body from optional_params and separate supported Responses API params + from unsupported ones. Supported params are moved to top-level optional_params, + unsupported params remain in extra_body. + """ + # Extract extra_body and separate supported params from unsupported ones + extra_body = optional_params.pop("extra_body", None) or {} + if not extra_body: + return optional_params + + supported_responses_api_params = set( + ResponsesAPIOptionalRequestParams.__annotations__.keys() + ) + # Also include params we handle specially + supported_responses_api_params.update({ + "previous_response_id", + "reasoning_effort", # We map this to "reasoning" + }) + + # Extract supported params from extra_body and merge into optional_params + extra_body_copy = extra_body.copy() + for key, value in extra_body_copy.items(): + if key in supported_responses_api_params: + # Prefer extra_body value if it exists (may have more complete info like summary in reasoning_effort) + optional_params[key] = extra_body.pop(key) + + return optional_params + def _map_reasoning_effort(self, reasoning_effort: Union[str, Dict[str, Any]]) -> Optional[Reasoning]: # If dict is passed, convert it directly to Reasoning object if isinstance(reasoning_effort, dict): diff --git a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py index 40a6bbd8e0f..1b3bc5a92ef 100644 --- a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py +++ b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py @@ -273,3 +273,39 @@ def test_convert_tools_to_responses_format(): result = handler._convert_tools_to_responses_format(tools) assert result[0]["name"] == "test" + + +def test_extract_extra_body_params_reasoning_effort_override(): + """Test that reasoning_effort from extra_body overrides top-level reasoning_effort""" + from litellm.completion_extras.litellm_responses_transformation.transformation import ( + LiteLLMResponsesTransformationHandler, + ) + + handler = LiteLLMResponsesTransformationHandler() + + # Test case: reasoning_effort in extra_body (with summary) should override top-level string + optional_params = { + "reasoning_effort": "high", # Top-level string + "extra_body": { + "reasoning_effort": { + "effort": "high", + "summary": {"type": "summary_text"}, + }, # More complete dict in extra_body + "previous_response_id": "resp_123", # Supported param + "custom_param": "will_stay_in_extra_body", # Unsupported param + }, + } + + result = handler._extract_extra_body_params(optional_params) + + # reasoning_effort from extra_body should override top-level + assert result["reasoning_effort"] == { + "effort": "high", + "summary": {"type": "summary_text"}, + } + + # previous_response_id should be extracted to top-level + assert result["previous_response_id"] == "resp_123" + + # extra_body should no longer be in optional_params (it was popped) + assert "extra_body" not in result From 4167a64853b98c060eb365dd1c79513f1e8db0fd Mon Sep 17 00:00:00 2001 From: Cesar Garcia <128240629+Chesars@users.noreply.github.com> Date: Wed, 19 Nov 2025 01:06:50 -0300 Subject: [PATCH 003/227] fix: Support GPT-5.1 reasoning.effort='none' in proxy (#16745) * fix: Add support for GPT-5.1 reasoning.effort='none' parameter - Override Reasoning type to include 'none' effort value - Maintains compatibility with semantic-router (requires openai <2.0.0) - GPT-5.1 defaults to reasoning.effort='none' as of OpenAI SDK 2.8.0 - Override can be removed once semantic-router supports OpenAI SDK 2.x Fixes #16741 * feat: Update to OpenAI SDK 2.8+ and Python 3.9+ - Update minimum Python version from 3.8.1 to 3.9 (3.8 EOL Oct 2024) - Update OpenAI SDK requirement from >=1.99.5 to >=2.8.0 - Update semantic-router to >=0.1.12 with Python >=3.9,<3.14 constraint - Update resend to >=0.8.0 (allows 2.x versions) - Revert custom Reasoning TypedDict - now using native type from OpenAI SDK 2.8+ OpenAI SDK 2.8.0 natively supports reasoning.effort='none' for GPT-5.1, eliminating the need for our custom type override. * chore: Update poetry.lock with OpenAI SDK 2.8.1 and dependencies --- poetry.lock | 1326 +++++++++++++++++++++++++++++++----------------- pyproject.toml | 8 +- 2 files changed, 853 insertions(+), 481 deletions(-) diff --git a/poetry.lock b/poetry.lock index 5d15b24cbc5..8a9b4fbb60b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,17 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand. + +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = true +python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"semantic-router\" and python_version < \"3.14\"" +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, + {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, +] [[package]] name = "aiohappyeyeballs" @@ -6,6 +19,7 @@ version = "2.4.4" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"}, {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"}, @@ -17,6 +31,7 @@ version = "3.10.11" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5077b1a5f40ffa3ba1f40d537d3bec4383988ee51fbba6b74aa8fb1bc466599e"}, {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8d6a14a4d93b5b3c2891fca94fa9d41b2322a68194422bef0dd5ec1e57d7d298"}, @@ -121,7 +136,7 @@ multidict = ">=4.5,<7.0" yarl = ">=1.12.0,<2.0" [package.extras] -speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"] +speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""] [[package]] name = "aiosignal" @@ -129,6 +144,7 @@ version = "1.3.1" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"}, {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"}, @@ -143,6 +159,8 @@ version = "0.7.13" description = "A configurable sidebar-enabled Sphinx theme" optional = true python-versions = ">=3.6" +groups = ["main"] +markers = "extra == \"utils\"" files = [ {file = "alabaster-0.7.13-py3-none-any.whl", hash = "sha256:1ee19aca801bbabb5ba3f5f258e4422dfa86f82f3e9cefb0859b283cdd7f62a3"}, {file = "alabaster-0.7.13.tar.gz", hash = "sha256:a27a4a084d5e690e16e01e03ad2b2e552c61a65469419b907243193de1a84ae2"}, @@ -154,6 +172,8 @@ version = "1.17.2" description = "A database migration tool for SQLAlchemy." optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "alembic-1.17.2-py3-none-any.whl", hash = "sha256:f483dd1fe93f6c5d49217055e4d15b905b425b6af906746abb35b69c1996c4e6"}, {file = "alembic-1.17.2.tar.gz", hash = "sha256:bbe9751705c5e0f14877f02d46c53d10885e377e3d90eda810a016f9baa19e8e"}, @@ -174,10 +194,12 @@ version = "0.0.4" description = "Document parameters, class attributes, return types, and variables inline, with Annotated." optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"}, {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"}, ] +markers = {main = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"proxy\") or extra == \"proxy\""} [[package]] name = "annotated-types" @@ -185,20 +207,19 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] -[package.dependencies] -typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} - [[package]] name = "anyio" version = "4.5.2" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "anyio-4.5.2-py3-none-any.whl", hash = "sha256:c011ee36bc1e8ba40e5a81cb9df91925c218fe9b778554e0b56a21e1b5d4716f"}, {file = "anyio-4.5.2.tar.gz", hash = "sha256:23009af4ed04ce05991845451e11ef02fc7c5ed29179ac9a420e5ad0ac7ddc5b"}, @@ -212,7 +233,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} [package.extras] doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] -test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""] trio = ["trio (>=0.26.1)"] [[package]] @@ -221,13 +242,14 @@ version = "3.11.1" description = "In-process task scheduler with Cron-like capabilities" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "apscheduler-3.11.1-py3-none-any.whl", hash = "sha256:6162cb5683cb09923654fa9bdd3130c4be4bfda6ad8990971c9597ecd52965d2"}, {file = "apscheduler-3.11.1.tar.gz", hash = "sha256:0db77af6400c84d1747fe98a04b8b58f0080c77d11d338c4f507a9752880f221"}, ] [package.dependencies] -"backports.zoneinfo" = {version = "*", markers = "python_version < \"3.9\""} tzlocal = ">=3.0" [package.extras] @@ -238,7 +260,7 @@ mongodb = ["pymongo (>=3.0)"] redis = ["redis (>=3.0)"] rethinkdb = ["rethinkdb (>=2.4.0)"] sqlalchemy = ["sqlalchemy (>=1.4)"] -test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6", "anyio (>=4.5.2)", "gevent", "pytest", "pytz", "twisted"] +test = ["APScheduler[etcd,mongodb,redis,rethinkdb,sqlalchemy,tornado,zookeeper]", "PySide6 ; platform_python_implementation == \"CPython\" and python_version < \"3.14\"", "anyio (>=4.5.2)", "gevent ; python_version < \"3.14\"", "pytest", "pytz", "twisted ; python_version < \"3.14\""] tornado = ["tornado (>=4.3)"] twisted = ["twisted"] zookeeper = ["kazoo"] @@ -247,8 +269,10 @@ zookeeper = ["kazoo"] name = "async-timeout" version = "5.0.1" description = "Timeout context manager for asyncio programs" -optional = false +optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "python_full_version < \"3.11.3\" and (extra == \"extra-proxy\" or extra == \"proxy\" or python_version < \"3.11\")" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -260,18 +284,42 @@ version = "25.3.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"}, {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"}, ] [package.extras] -benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"] -tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] +tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""] + +[[package]] +name = "aurelio-sdk" +version = "0.0.19" +description = "Aurelio Platform SDK" +optional = true +python-versions = "<4.0,>=3.9" +groups = ["main"] +markers = "extra == \"semantic-router\" and python_version < \"3.14\"" +files = [ + {file = "aurelio_sdk-0.0.19-py3-none-any.whl", hash = "sha256:390c0212b59ce99116df8722d3badced88c5ef0bb742a6222d479ceed0ed3948"}, + {file = "aurelio_sdk-0.0.19.tar.gz", hash = "sha256:14107e7440ff2efd0b4a08c52fb595e7680bd4bc973a0ddfb3b64157c6666b91"}, +] + +[package.dependencies] +aiofiles = ">=24.1.0,<25.0.0" +aiohttp = ">=3.10.11,<4.0.0" +colorlog = ">=6.8.2,<7.0.0" +pydantic = ">=2.9.2,<3.0.0" +python-dotenv = ">=1.0.1,<2.0.0" +requests = ">=2.32.3,<3.0.0" +requests-toolbelt = ">=1.0.0,<2.0.0" +tornado = ">=6.4.2" [[package]] name = "azure-core" @@ -279,6 +327,7 @@ version = "1.33.0" description = "Microsoft Azure Core Library for Python" optional = false python-versions = ">=3.8" +groups = ["main", "proxy-dev"] files = [ {file = "azure_core-1.33.0-py3-none-any.whl", hash = "sha256:9b5b6d0223a1d38c37500e6971118c1e0f13f54951e6893968b38910bc9cda8f"}, {file = "azure_core-1.33.0.tar.gz", hash = "sha256:f367aa07b5e3005fec2c1e184b882b0b039910733907d001c20fb08ebb8c0eb9"}, @@ -299,6 +348,7 @@ version = "1.21.0" description = "Microsoft Azure Identity Library for Python" optional = false python-versions = ">=3.8" +groups = ["main", "proxy-dev"] files = [ {file = "azure_identity-1.21.0-py3-none-any.whl", hash = "sha256:258ea6325537352440f71b35c3dffe9d240eae4a5126c1b7ce5efd5766bd9fd9"}, {file = "azure_identity-1.21.0.tar.gz", hash = "sha256:ea22ce6e6b0f429bc1b8d9212d5b9f9877bd4c82f1724bfa910760612c07a9a6"}, @@ -317,6 +367,8 @@ version = "4.9.0" description = "Microsoft Azure Key Vault Secrets Client Library for Python" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"extra-proxy\"" files = [ {file = "azure_keyvault_secrets-4.9.0-py3-none-any.whl", hash = "sha256:33c7e2aca2cc2092cebc8c6e96eca36a5cc30c767e16ea429c5fa21270e9fba6"}, {file = "azure_keyvault_secrets-4.9.0.tar.gz", hash = "sha256:2a03bb2ffd9a0d6c8ad1c330d9d0310113985a9de06607ece378fd72a5889fe1"}, @@ -333,6 +385,8 @@ version = "12.26.0" description = "Microsoft Azure Blob Storage Client Library for Python" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "azure_storage_blob-12.26.0-py3-none-any.whl", hash = "sha256:8c5631b8b22b4f53ec5fff2f3bededf34cfef111e2af613ad42c9e6de00a77fe"}, {file = "azure_storage_blob-12.26.0.tar.gz", hash = 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"sphinx_rtd_theme"] -test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"] +test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.8\"", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions ; python_version < \"3.11\""] [[package]] name = "google-api-core" @@ -1631,6 +1659,8 @@ version = "2.25.2" description = "Google API client core library" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "python_version >= \"3.14\" and extra == \"extra-proxy\"" files = [ {file = "google_api_core-2.25.2-py3-none-any.whl", hash = "sha256:e9a8f62d363dc8424a8497f4c2a47d6bcda6c16514c935629c257ab5d10210e7"}, {file = "google_api_core-2.25.2.tar.gz", hash = "sha256:1c63aa6af0d0d5e37966f157a77f9396d820fba59f9e43e9415bc3dc5baff300"}, @@ -1647,7 +1677,7 @@ requests = ">=2.18.0,<3.0.0" [package.extras] async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.0)"] -grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0)", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0)"] +grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\""] grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"] grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"] @@ -1657,6 +1687,8 @@ version = "2.28.1" description = "Google API client core library" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "extra == \"extra-proxy\" and python_version < \"3.14\"" files = [ {file = "google_api_core-2.28.1-py3-none-any.whl", hash = "sha256:4021b0f8ceb77a6fb4de6fde4502cecab45062e66ff4f2895169e0b35bc9466c"}, {file = "google_api_core-2.28.1.tar.gz", hash = "sha256:2b405df02d68e68ce0fbc138559e6036559e685159d148ae5861013dc201baf8"}, @@ -1666,15 +1698,15 @@ files = [ google-auth = ">=2.14.1,<3.0.0" googleapis-common-protos = ">=1.56.2,<2.0.0" grpcio = [ + {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, {version = ">=1.33.2,<2.0.0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}, - {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\" and python_version < \"3.14\""}, ] grpcio-status = [ - {version = ">=1.33.2,<2.0.0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}, - {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\" and python_version < \"3.14\""}, + {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, + {version = ">=1.33.2,<2.0.0", optional = true, markers = "extra == \"grpc\""}, ] proto-plus = [ - {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""}, + {version = ">=1.22.3,<2.0.0"}, {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""}, ] protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0" @@ -1682,7 +1714,7 @@ requests = ">=2.18.0,<3.0.0" [package.extras] async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.0)"] -grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0)", "grpcio (>=1.75.1,<2.0.0)", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0)", "grpcio-status (>=1.75.1,<2.0.0)"] +grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio (>=1.75.1,<2.0.0) ; python_version >= \"3.14\"", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.75.1,<2.0.0) ; python_version >= \"3.14\""] grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"] grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"] @@ -1692,6 +1724,8 @@ version = "2.43.0" description = "Google Authentication Library" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\"" files = [ {file = "google_auth-2.43.0-py2.py3-none-any.whl", hash = "sha256:af628ba6fa493f75c7e9dbe9373d148ca9f4399b5ea29976519e0a3848eddd16"}, {file = "google_auth-2.43.0.tar.gz", hash = "sha256:88228eee5fc21b62a1b5fe773ca15e67778cb07dc8363adcb4a8827b52d81483"}, @@ -1705,37 +1739,21 @@ rsa = ">=3.1.4,<5" [package.extras] aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"] enterprise-cert = ["cryptography", "pyopenssl"] -pyjwt = ["cryptography (<39.0.0)", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"] -pyopenssl = ["cryptography (<39.0.0)", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"] +pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"] +pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"] reauth = ["pyu2f (>=0.1.5)"] requests = ["requests (>=2.20.0,<3.0.0)"] -testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0)", "cryptography (<39.0.0)", "cryptography (>=38.0.3)", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"] +testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"] urllib3 = ["packaging", "urllib3"] -[[package]] -name = "google-cloud-iam" -version = "2.19.1" -description = "Google Cloud Iam API client library" -optional = true -python-versions = ">=3.7" -files = [ - {file = "google_cloud_iam-2.19.1-py3-none-any.whl", hash = "sha256:11b08b86d82510021f9dd9f0beb5a08219e070deab09e28d4c0ce49f8c70997d"}, - {file = "google_cloud_iam-2.19.1.tar.gz", hash = "sha256:f059c369ad98af6be3401f0f5d087775d775fb96833be1e9ab8048c422fb1bf4"}, -] - -[package.dependencies] -google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras = ["grpc"]} -google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0" -grpc-google-iam-v1 = ">=0.12.4,<1.0.0" -proto-plus = {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""} -protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0" - [[package]] name = "google-cloud-iam" version = "2.20.0" description = "Google Cloud Iam API client library" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "extra == \"extra-proxy\"" files = [ {file = "google_cloud_iam-2.20.0-py3-none-any.whl", hash = "sha256:643fcf6db3100772f222c7173bc1af15541a05ec1c43785191e835146ed150b8"}, {file = "google_cloud_iam-2.20.0.tar.gz", hash = "sha256:06568ed8313f59fac46d21a5aae4c54eb1dda9f6bcecf2736c58ab1065dc9173"}, @@ -1745,9 +1763,12 @@ files = [ google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras = ["grpc"]} google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0" grpc-google-iam-v1 = ">=0.12.4,<1.0.0" -grpcio = {version = ">=1.33.2,<2.0.0", markers = "python_version < \"3.14\""} +grpcio = [ + {version = ">=1.33.2,<2.0.0"}, + {version = ">=1.75.1,<2.0.0", markers = "python_version >= \"3.14\""}, +] proto-plus = [ - {version = ">=1.22.3,<2.0.0", markers = "python_version < \"3.13\""}, + {version = ">=1.22.3,<2.0.0"}, {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""}, ] protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0" @@ -1758,6 +1779,8 @@ version = "2.24.2" description = "Google Cloud Kms API client library" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "extra == \"extra-proxy\"" files = [ {file = "google_cloud_kms-2.24.2-py2.py3-none-any.whl", hash = "sha256:368209b035dfac691a467c1cf50986d8b1b26cac1166bdfbaa25d738df91ff7b"}, {file = "google_cloud_kms-2.24.2.tar.gz", hash = "sha256:e9e18bbfafd1a4035c76c03fb5ff03f4f57f596d08e1a9ede7e69ec0151b27a1"}, @@ -1776,10 +1799,12 @@ version = "1.72.0" description = "Common protobufs used in Google APIs" optional = false python-versions = ">=3.7" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "googleapis_common_protos-1.72.0-py3-none-any.whl", hash = "sha256:4299c5a82d5ae1a9702ada957347726b167f9f8d1fc352477702a1e851ff4038"}, {file = "googleapis_common_protos-1.72.0.tar.gz", hash = "sha256:e55a601c1b32b52d7a3e65f43563e2aa61bcd737998ee672ac9b951cd49319f5"}, ] +markers = {main = "extra == \"extra-proxy\""} [package.dependencies] grpcio = {version = ">=1.44.0,<2.0.0", optional = true, markers = "extra == \"grpc\""} @@ -1794,6 +1819,8 @@ version = "3.4.3" description = "GraphQL Framework for Python" optional = true python-versions = "*" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "graphene-3.4.3-py2.py3-none-any.whl", hash = "sha256:820db6289754c181007a150db1f7fff544b94142b556d12e3ebc777a7bf36c71"}, {file = "graphene-3.4.3.tar.gz", hash = "sha256:2a3786948ce75fe7e078443d37f609cbe5bb36ad8d6b828740ad3b95ed1a0aaa"}, @@ -1815,6 +1842,8 @@ version = "3.2.7" description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL." optional = true python-versions = "<4,>=3.7" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "graphql_core-3.2.7-py3-none-any.whl", hash = "sha256:17fc8f3ca4a42913d8e24d9ac9f08deddf0a0b2483076575757f6c412ead2ec0"}, {file = "graphql_core-3.2.7.tar.gz", hash = "sha256:27b6904bdd3b43f2a0556dad5d579bdfdeab1f38e8e8788e555bdcb586a6f62c"}, @@ -1826,6 +1855,8 @@ version = "3.2.0" description = "Relay library for graphql-core" optional = true python-versions = ">=3.6,<4" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "graphql-relay-3.2.0.tar.gz", hash = "sha256:1ff1c51298356e481a0be009ccdff249832ce53f30559c1338f22a0e0d17250c"}, {file = 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optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "extra == \"extra-proxy\"" files = [ {file = "grpc_google_iam_v1-0.14.3-py3-none-any.whl", hash = "sha256:7a7f697e017a067206a3dfef44e4c634a34d3dee135fe7d7a4613fe3e59217e6"}, {file = "grpc_google_iam_v1-0.14.3.tar.gz", hash = "sha256:879ac4ef33136c5491a6300e27575a9ec760f6cdf9a2518798c1b8977a5dc389"}, @@ -1935,6 +1970,7 @@ version = "1.70.0" description = "HTTP/2-based RPC framework" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "grpcio-1.70.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:95469d1977429f45fe7df441f586521361e235982a0b39e33841549143ae2851"}, {file = "grpcio-1.70.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:ed9718f17fbdb472e33b869c77a16d0b55e166b100ec57b016dc7de9c8d236bf"}, @@ -1992,16 +2028,97 @@ files = [ {file = "grpcio-1.70.0-cp39-cp39-win_amd64.whl", hash = "sha256:a31d7e3b529c94e930a117b2175b2efd179d96eb3c7a21ccb0289a8ab05b645c"}, 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features" optional = true python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "litellm_enterprise-0.1.21-py3-none-any.whl", hash = "sha256:382cf030650a6318155f4b03e0149245706e429345906cde04cb31905eae8398"}, {file = "litellm_enterprise-0.1.21.tar.gz", hash = "sha256:2e9d9603ecbbced887d5028afd73663c4db7159a0a213f2e69844e8f9e7692b5"}, @@ -2676,6 +2834,8 @@ version = "0.4.5" description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package." optional = true python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "litellm_proxy_extras-0.4.5-py3-none-any.whl", hash = "sha256:917954c2f6d2f940bea8355695d8a17057816f126e898a4fca73b9d56cee09e6"}, {file = "litellm_proxy_extras-0.4.5.tar.gz", hash = "sha256:ad79a4061e06f9a9127e517d153dfbb8a1a91de11873a633de5a984cbcd40070"}, @@ -2687,6 +2847,8 @@ version = "1.3.10" description = "A super-fast templating language that borrows the best ideas from the existing templating languages." optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "mako-1.3.10-py3-none-any.whl", hash = "sha256:baef24a52fc4fc514a0887ac600f9f1cff3d82c61d4d700a1fa84d597b88db59"}, {file = "mako-1.3.10.tar.gz", hash = "sha256:99579a6f39583fa7e5630a28c3c1f440e4e97a414b80372649c0ce338da2ea28"}, @@ -2706,6 +2868,8 @@ version = "3.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"}, {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"}, @@ -2730,6 +2894,7 @@ version = "2.1.5" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.7" +groups = ["main", "proxy-dev"] files = [ {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"}, {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"}, @@ -2799,6 +2964,8 @@ version = "3.10.7" description = "Python plotting package" optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "matplotlib-3.10.7-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:7ac81eee3b7c266dd92cee1cd658407b16c57eed08c7421fa354ed68234de380"}, {file = "matplotlib-3.10.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:667ecd5d8d37813a845053d8f5bf110b534c3c9f30e69ebd25d4701385935a6d"}, @@ -2877,6 +3044,7 @@ version = "0.7.0" description = "McCabe checker, plugin for flake8" optional = false python-versions = ">=3.6" +groups = ["dev"] files = [ {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"}, {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"}, @@ -2888,6 +3056,8 @@ version = "1.12.4" description = "Model Context Protocol SDK" optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"proxy\"" files = [ {file = "mcp-1.12.4-py3-none-any.whl", hash = "sha256:7aa884648969fab8e78b89399d59a683202972e12e6bc9a1c88ce7eda7743789"}, {file = "mcp-1.12.4.tar.gz", hash = "sha256:0765585e9a3a5916a3c3ab8659330e493adc7bd8b2ca6120c2d7a0c43e034ca5"}, @@ -2917,6 +3087,8 @@ version = "0.1.2" description = "Markdown URL utilities" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, @@ -2928,6 +3100,8 @@ version = "0.4.1" description = "" optional = true python-versions = ">=3.9" +groups = ["main"] +markers = "extra == \"extra-proxy\" and python_version < \"3.14\"" files = [ {file = "ml_dtypes-0.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1fe8b5b5e70cd67211db94b05cfd58dace592f24489b038dc6f9fe347d2e07d5"}, {file = "ml_dtypes-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c09a6d11d8475c2a9fd2bc0695628aec105f97cab3b3a3fb7c9660348ff7d24"}, @@ -2950,10 +3124,10 @@ files = [ [package.dependencies] numpy = [ - {version = ">1.20", markers = "python_version < \"3.10\""}, + {version = ">=1.23.3", markers = "python_version >= \"3.11\""}, + {version = ">1.20"}, + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.3", markers = "python_version >= \"3.11\" and python_version < \"3.12\""}, - {version = ">=1.21.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""}, ] [package.extras] @@ -2965,6 +3139,8 @@ version = "3.6.0" description = "MLflow is an open source platform for the complete machine learning lifecycle" optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "mlflow-3.6.0-py3-none-any.whl", hash = "sha256:04d1691facd412be8e61b963fad859286cfeb2dbcafaea294e6aa0b83a15fc04"}, {file = "mlflow-3.6.0.tar.gz", hash = "sha256:d945d259b5c6b551a9f26846db8979fd84c78114a027b77ada3298f821a9b0e1"}, @@ -3009,6 +3185,8 @@ version = "3.6.0" description = "MLflow is an open source platform for the complete machine learning lifecycle" optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "mlflow_skinny-3.6.0-py3-none-any.whl", hash = "sha256:c83b34fce592acb2cc6bddcb507587a6d9ef3f590d9e7a8658c85e0980596d78"}, {file = "mlflow_skinny-3.6.0.tar.gz", hash = "sha256:cc04706b5b6faace9faf95302a6e04119485e1bfe98ddc9b85b81984e80944b6"}, @@ -3054,6 +3232,8 @@ version = "3.6.0" description = "MLflow Tracing SDK is an open-source, lightweight Python package that only includes the minimum set of dependencies and functionality to instrument your code/models/agents with MLflow Tracing." optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "mlflow_tracing-3.6.0-py3-none-any.whl", hash = "sha256:a68ff03ba5129c67dc98e6871e0d5ef512dd3ee66d01e1c1a0c946c08a6d4755"}, {file = "mlflow_tracing-3.6.0.tar.gz", hash = "sha256:ccff80b3aad6caa18233c98ba69922a91a6f914e0a13d12e1977af7523523d4c"}, @@ -3075,6 +3255,7 @@ version = "1.34.0" description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect." optional = false python-versions = ">=3.8" +groups = ["main", "proxy-dev"] files = [ {file = "msal-1.34.0-py3-none-any.whl", hash = "sha256:f669b1644e4950115da7a176441b0e13ec2975c29528d8b9e81316023676d6e1"}, {file = "msal-1.34.0.tar.gz", hash = "sha256:76ba83b716ea5a6d75b0279c0ac353a0e05b820ca1f6682c0eb7f45190c43c2f"}, @@ -3086,7 +3267,7 @@ PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]} requests = ">=2.0.0,<3" [package.extras] -broker = ["pymsalruntime (>=0.14,<0.19)", "pymsalruntime (>=0.17,<0.19)", "pymsalruntime (>=0.18,<0.19)"] +broker = ["pymsalruntime (>=0.14,<0.19) ; python_version >= \"3.6\" and platform_system == \"Windows\"", "pymsalruntime (>=0.17,<0.19) ; python_version >= \"3.8\" and platform_system == \"Darwin\"", "pymsalruntime (>=0.18,<0.19) ; python_version >= \"3.8\" and platform_system == \"Linux\""] [[package]] name = "msal-extensions" @@ -3094,6 +3275,7 @@ version = "1.3.0" description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism." optional = false python-versions = ">=3.7" +groups = ["main", "proxy-dev"] files = [ {file = "msal_extensions-1.3.0-py3-none-any.whl", hash = "sha256:105328ddcbdd342016c9949d8f89e3917554740c8ab26669c0fa0e069e730a0e"}, {file = "msal_extensions-1.3.0.tar.gz", hash = "sha256:96918996642b38c78cd59b55efa0f06fd1373c90e0949be8615697c048fba62c"}, @@ -3111,6 +3293,7 @@ version = "6.1.0" description = "multidict implementation" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"}, {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"}, @@ -3215,6 +3398,7 @@ version = "1.14.1" description = "Optional static typing for Python" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "mypy-1.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:52686e37cf13d559f668aa398dd7ddf1f92c5d613e4f8cb262be2fb4fedb0fcb"}, {file = "mypy-1.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1fb545ca340537d4b45d3eecdb3def05e913299ca72c290326be19b3804b39c0"}, @@ -3274,6 +3458,7 @@ version = "1.1.0" description = "Type system extensions for programs checked with the mypy type checker." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505"}, {file = "mypy_extensions-1.1.0.tar.gz", hash = "sha256:52e68efc3284861e772bbcd66823fde5ae21fd2fdb51c62a211403730b916558"}, @@ -3285,6 +3470,7 @@ version = "1.9.1" description = "Node.js virtual environment builder" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main", "proxy-dev"] files = [ {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"}, {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"}, @@ -3296,6 +3482,8 @@ version = "1.26.4" description = "Fundamental package for array computing in Python" optional = true python-versions = ">=3.9" +groups = ["main"] +markers = "(python_version >= \"3.10\" or extra == \"extra-proxy\" or extra == \"semantic-router\") and (python_version < \"3.12\" or extra == \"mlflow\" or extra == \"extra-proxy\" or extra == \"semantic-router\") and (python_version < \"3.14\" or extra == \"mlflow\") and (extra == \"extra-proxy\" or extra == \"semantic-router\" or extra == \"mlflow\")" files = [ {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"}, {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"}, @@ -3341,6 +3529,8 @@ version = "1.7.0" description = "Sphinx extension to support docstrings in Numpy format" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"utils\"" files = [ {file = "numpydoc-1.7.0-py3-none-any.whl", hash = "sha256:5a56419d931310d79a06cfc2a126d1558700feeb9b4f3d8dcae1a8134be829c9"}, {file = "numpydoc-1.7.0.tar.gz", hash = "sha256:866e5ae5b6509dcf873fc6381120f5c31acf13b135636c1a81d68c166a95f921"}, @@ -3352,7 +3542,7 @@ tabulate = ">=0.8.10" tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} [package.extras] -developer = ["pre-commit (>=3.3)", "tomli"] +developer = ["pre-commit (>=3.3)", "tomli ; python_version < \"3.11\""] doc = ["matplotlib (>=3.5)", "numpy (>=1.22)", "pydata-sphinx-theme (>=0.13.3)", "sphinx (>=7)"] test = ["matplotlib", "pytest", "pytest-cov"] @@ -3362,6 +3552,8 @@ version = "3.3.1" description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "oauthlib-3.3.1-py3-none-any.whl", hash = "sha256:88119c938d2b8fb88561af5f6ee0eec8cc8d552b7bb1f712743136eb7523b7a1"}, {file = "oauthlib-3.3.1.tar.gz", hash = "sha256:0f0f8aa759826a193cf66c12ea1af1637f87b9b4622d46e866952bb022e538c9"}, @@ -3374,27 +3566,28 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] [[package]] name = "openai" -version = "1.109.1" +version = "2.8.1" description = "The official Python library for the openai API" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" +groups = ["main"] files = [ - {file = "openai-1.109.1-py3-none-any.whl", hash = "sha256:6bcaf57086cf59159b8e27447e4e7dd019db5d29a438072fbd49c290c7e65315"}, - {file = "openai-1.109.1.tar.gz", hash = "sha256:d173ed8dbca665892a6db099b4a2dfac624f94d20a93f46eb0b56aae940ed869"}, + {file = "openai-2.8.1-py3-none-any.whl", hash = "sha256:c6c3b5a04994734386e8dad3c00a393f56d3b68a27cd2e8acae91a59e4122463"}, + {file = "openai-2.8.1.tar.gz", hash = "sha256:cb1b79eef6e809f6da326a7ef6038719e35aa944c42d081807bfa1be8060f15f"}, ] [package.dependencies] anyio = ">=3.5.0,<5" distro = ">=1.7.0,<2" httpx = ">=0.23.0,<1" -jiter = ">=0.4.0,<1" +jiter = ">=0.10.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" tqdm = ">4" typing-extensions = ">=4.11,<5" [package.extras] -aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"] +aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9)"] datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"] realtime = ["websockets (>=13,<16)"] voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"] @@ -3405,10 +3598,12 @@ version = "1.25.0" description = "OpenTelemetry Python API" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "opentelemetry_api-1.25.0-py3-none-any.whl", hash = "sha256:757fa1aa020a0f8fa139f8959e53dec2051cc26b832e76fa839a6d76ecefd737"}, {file = "opentelemetry_api-1.25.0.tar.gz", hash = "sha256:77c4985f62f2614e42ce77ee4c9da5fa5f0bc1e1821085e9a47533a9323ae869"}, ] +markers = {main = "python_version >= \"3.10\""} [package.dependencies] deprecated = ">=1.2.6" @@ -3420,6 +3615,7 @@ version = "1.25.0" description = "OpenTelemetry Collector Exporters" optional = false python-versions = ">=3.8" +groups = ["dev", "proxy-dev"] files = [ {file = "opentelemetry_exporter_otlp-1.25.0-py3-none-any.whl", hash = "sha256:d67a831757014a3bc3174e4cd629ae1493b7ba8d189e8a007003cacb9f1a6b60"}, {file = "opentelemetry_exporter_otlp-1.25.0.tar.gz", hash = "sha256:ce03199c1680a845f82e12c0a6a8f61036048c07ec7a0bd943142aca8fa6ced0"}, @@ -3435,6 +3631,7 @@ version = "1.25.0" description = "OpenTelemetry Protobuf encoding" optional = false python-versions = ">=3.8" +groups = ["dev", "proxy-dev"] files = [ {file = "opentelemetry_exporter_otlp_proto_common-1.25.0-py3-none-any.whl", hash = "sha256:15637b7d580c2675f70246563363775b4e6de947871e01d0f4e3881d1848d693"}, {file = "opentelemetry_exporter_otlp_proto_common-1.25.0.tar.gz", hash = "sha256:c93f4e30da4eee02bacd1e004eb82ce4da143a2f8e15b987a9f603e0a85407d3"}, @@ -3449,6 +3646,7 @@ version = "1.25.0" description = "OpenTelemetry Collector Protobuf over gRPC Exporter" optional = false python-versions = ">=3.8" +groups = ["dev", "proxy-dev"] files = [ {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0-py3-none-any.whl", hash = "sha256:3131028f0c0a155a64c430ca600fd658e8e37043cb13209f0109db5c1a3e4eb4"}, {file = "opentelemetry_exporter_otlp_proto_grpc-1.25.0.tar.gz", hash = "sha256:c0b1661415acec5af87625587efa1ccab68b873745ca0ee96b69bb1042087eac"}, @@ -3469,6 +3667,7 @@ version = "1.25.0" description = "OpenTelemetry Collector Protobuf over HTTP Exporter" optional = false python-versions = ">=3.8" +groups = ["dev", "proxy-dev"] files = [ {file = "opentelemetry_exporter_otlp_proto_http-1.25.0-py3-none-any.whl", hash = "sha256:2eca686ee11b27acd28198b3ea5e5863a53d1266b91cda47c839d95d5e0541a6"}, {file = "opentelemetry_exporter_otlp_proto_http-1.25.0.tar.gz", hash = "sha256:9f8723859e37c75183ea7afa73a3542f01d0fd274a5b97487ea24cb683d7d684"}, @@ -3489,10 +3688,12 @@ version = "1.25.0" description = "OpenTelemetry Python Proto" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "opentelemetry_proto-1.25.0-py3-none-any.whl", hash = "sha256:f07e3341c78d835d9b86665903b199893befa5e98866f63d22b00d0b7ca4972f"}, {file = "opentelemetry_proto-1.25.0.tar.gz", hash = "sha256:35b6ef9dc4a9f7853ecc5006738ad40443701e52c26099e197895cbda8b815a3"}, ] +markers = {main = "python_version >= \"3.10\" and extra == \"mlflow\""} [package.dependencies] protobuf = ">=3.19,<5.0" @@ -3503,10 +3704,12 @@ version = "1.25.0" description = "OpenTelemetry Python SDK" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "opentelemetry_sdk-1.25.0-py3-none-any.whl", hash = "sha256:d97ff7ec4b351692e9d5a15af570c693b8715ad78b8aafbec5c7100fe966b4c9"}, {file = "opentelemetry_sdk-1.25.0.tar.gz", hash = "sha256:ce7fc319c57707ef5bf8b74fb9f8ebdb8bfafbe11898410e0d2a761d08a98ec7"}, ] +markers = {main = "python_version >= \"3.10\""} [package.dependencies] opentelemetry-api = "1.25.0" @@ -3519,10 +3722,12 @@ version = "0.46b0" description = "OpenTelemetry Semantic Conventions" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "opentelemetry_semantic_conventions-0.46b0-py3-none-any.whl", hash = "sha256:6daef4ef9fa51d51855d9f8e0ccd3a1bd59e0e545abe99ac6203804e36ab3e07"}, {file = "opentelemetry_semantic_conventions-0.46b0.tar.gz", hash = "sha256:fbc982ecbb6a6e90869b15c1673be90bd18c8a56ff1cffc0864e38e2edffaefa"}, ] +markers = {main = "python_version >= \"3.10\""} [package.dependencies] opentelemetry-api = "1.25.0" @@ -3533,6 +3738,8 @@ version = "3.10.15" description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "orjson-3.10.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:552c883d03ad185f720d0c09583ebde257e41b9521b74ff40e08b7dec4559c04"}, {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:616e3e8d438d02e4854f70bfdc03a6bcdb697358dbaa6bcd19cbe24d24ece1f8"}, @@ -3621,6 +3828,7 @@ version = "24.2" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"}, {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"}, @@ -3632,6 +3840,8 @@ version = "2.3.3" description = "Powerful data structures for data analysis, time series, and statistics" optional = true python-versions = ">=3.9" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "pandas-2.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:376c6446ae31770764215a6c937f72d917f214b43560603cd60da6408f183b6c"}, {file = "pandas-2.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e19d192383eab2f4ceb30b412b22ea30690c9e618f78870357ae1d682912015a"}, @@ -3692,9 +3902,9 @@ files = [ [package.dependencies] numpy = [ + {version = ">=1.23.2", markers = "python_version == \"3.11\""}, {version = ">=1.22.4", markers = "python_version < \"3.11\""}, {version = ">=1.26.0", markers = "python_version >= \"3.12\""}, - {version = ">=1.23.2", markers = "python_version == \"3.11\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -3731,6 +3941,7 @@ version = "0.12.1" description = "Utility library for gitignore style pattern matching of file paths." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"}, {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"}, @@ -3742,6 +3953,8 @@ version = "12.0.0" description = "Python Imaging Library (fork)" optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "pillow-12.0.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:3adfb466bbc544b926d50fe8f4a4e6abd8c6bffd28a26177594e6e9b2b76572b"}, {file = "pillow-12.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1ac11e8ea4f611c3c0147424eae514028b5e9077dd99ab91e1bd7bc33ff145e1"}, @@ -3844,23 +4057,13 @@ test-arrow = ["arro3-compute", "arro3-core", "nanoarrow", "pyarrow"] tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma (>=5)", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "trove-classifiers (>=2024.10.12)"] xmp = ["defusedxml"] -[[package]] -name = "pkgutil-resolve-name" -version = "1.3.10" -description = "Resolve a name to an object." -optional = false -python-versions = ">=3.6" -files = [ - {file = "pkgutil_resolve_name-1.3.10-py3-none-any.whl", hash = "sha256:ca27cc078d25c5ad71a9de0a7a330146c4e014c2462d9af19c6b828280649c5e"}, - {file = "pkgutil_resolve_name-1.3.10.tar.gz", hash = "sha256:357d6c9e6a755653cfd78893817c0853af365dd51ec97f3d358a819373bbd174"}, -] - [[package]] name = "platformdirs" version = "4.3.6" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"}, {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"}, @@ -3877,6 +4080,7 @@ version = "1.5.0" description = "plugin and hook calling mechanisms for python" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -3892,6 +4096,8 @@ version = "1.35.2" description = "Blazingly fast DataFrame library" optional = true python-versions = ">=3.9" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"proxy\"" files = [ {file = "polars-1.35.2-py3-none-any.whl", hash = "sha256:5e8057c8289ac148c793478323b726faea933d9776bd6b8a554b0ab7c03db87e"}, {file = "polars-1.35.2.tar.gz", hash = "sha256:ae458b05ca6e7ca2c089342c70793f92f1103c502dc1b14b56f0a04f2cc1d205"}, @@ -3925,7 +4131,7 @@ rt64 = ["polars-runtime-64 (==1.35.2)"] rtcompat = ["polars-runtime-compat (==1.35.2)"] sqlalchemy = ["polars[pandas]", "sqlalchemy"] style = ["great-tables (>=0.8.0)"] -timezone = ["tzdata"] +timezone = ["tzdata ; platform_system == \"Windows\""] xlsx2csv = ["xlsx2csv (>=0.8.0)"] xlsxwriter = ["xlsxwriter"] @@ -3935,6 +4141,8 @@ version = "1.35.2" description = "Blazingly fast DataFrame library" optional = true python-versions = ">=3.9" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"proxy\"" files = [ {file = "polars_runtime_32-1.35.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e465d12a29e8df06ea78947e50bd361cdf77535cd904fd562666a8a9374e7e3a"}, {file = "polars_runtime_32-1.35.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:ef2b029b78f64fb53f126654c0bfa654045c7546bd0de3009d08bd52d660e8cc"}, @@ -3951,6 +4159,7 @@ version = "2.0.0" description = "A pure-Python implementation of the HTTP/2 priority tree" optional = false python-versions = ">=3.6.1" +groups = ["proxy-dev"] files = [ {file = "priority-2.0.0-py3-none-any.whl", hash = "sha256:6f8eefce5f3ad59baf2c080a664037bb4725cd0a790d53d59ab4059288faf6aa"}, {file = "priority-2.0.0.tar.gz", hash = "sha256:c965d54f1b8d0d0b19479db3924c7c36cf672dbf2aec92d43fbdaf4492ba18c0"}, @@ -3962,6 +4171,7 @@ version = "0.11.0" description = "Prisma Client Python is an auto-generated and fully type-safe database client" optional = false python-versions = ">=3.7.0" +groups = ["main", "proxy-dev"] files = [ {file = "prisma-0.11.0-py3-none-any.whl", hash = "sha256:22bb869e59a2968b99f3483bb417717273ffbc569fd1e9ceed95e5614cbaf53a"}, {file = "prisma-0.11.0.tar.gz", hash = "sha256:3f2f2fd2361e1ec5ff655f2a04c7860c2f2a5bc4c91f78ca9c5c6349735bf693"}, @@ -3987,6 +4197,7 @@ version = "0.20.0" description = "Python client for the Prometheus monitoring system." optional = false python-versions = ">=3.8" +groups = ["proxy-dev"] files = [ {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"}, {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"}, @@ -4001,6 +4212,7 @@ version = "0.2.0" description = "Accelerated property cache" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:c5869b8fd70b81835a6f187c5fdbe67917a04d7e52b6e7cc4e5fe39d55c39d58"}, {file = "propcache-0.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:952e0d9d07609d9c5be361f33b0d6d650cd2bae393aabb11d9b719364521984b"}, @@ -4108,6 +4320,8 @@ version = "1.26.1" description = "Beautiful, Pythonic protocol buffers" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "extra == \"extra-proxy\"" files = [ {file = "proto_plus-1.26.1-py3-none-any.whl", hash = "sha256:13285478c2dcf2abb829db158e1047e2f1e8d63a077d94263c2b88b043c75a66"}, {file = "proto_plus-1.26.1.tar.gz", hash = "sha256:21a515a4c4c0088a773899e23c7bbade3d18f9c66c73edd4c7ee3816bc96a012"}, @@ -4125,6 +4339,7 @@ version = "4.25.8" description = "" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "protobuf-4.25.8-cp310-abi3-win32.whl", hash = "sha256:504435d831565f7cfac9f0714440028907f1975e4bed228e58e72ecfff58a1e0"}, {file = "protobuf-4.25.8-cp310-abi3-win_amd64.whl", hash = "sha256:bd551eb1fe1d7e92c1af1d75bdfa572eff1ab0e5bf1736716814cdccdb2360f9"}, @@ -4138,6 +4353,7 @@ files = [ {file = "protobuf-4.25.8-py3-none-any.whl", hash = "sha256:15a0af558aa3b13efef102ae6e4f3efac06f1eea11afb3a57db2901447d9fb59"}, {file = "protobuf-4.25.8.tar.gz", hash = "sha256:6135cf8affe1fc6f76cced2641e4ea8d3e59518d1f24ae41ba97bcad82d397cd"}, ] +markers = {main = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\""} [[package]] name = "pyarrow" @@ -4145,6 +4361,8 @@ version = "22.0.0" description = "Python library for Apache Arrow" optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "pyarrow-22.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:77718810bd3066158db1e95a63c160ad7ce08c6b0710bc656055033e39cdad88"}, {file = "pyarrow-22.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:44d2d26cda26d18f7af7db71453b7b783788322d756e81730acb98f24eb90ace"}, @@ -4204,6 +4422,8 @@ version = "0.6.1" description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\"" files = [ {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"}, {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"}, @@ -4215,6 +4435,8 @@ version = "0.4.2" description = "A collection of ASN.1-based protocols modules" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\"" files = [ {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"}, {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"}, @@ -4229,6 +4451,7 @@ version = "2.11.1" description = "Python style guide checker" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"}, {file = "pycodestyle-2.11.1.tar.gz", hash = "sha256:41ba0e7afc9752dfb53ced5489e89f8186be00e599e712660695b7a75ff2663f"}, @@ -4240,10 +4463,12 @@ version = "2.23" description = "C parser in Python" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "pycparser-2.23-py3-none-any.whl", hash = "sha256:e5c6e8d3fbad53479cab09ac03729e0a9faf2bee3db8208a550daf5af81a5934"}, {file = "pycparser-2.23.tar.gz", hash = "sha256:78816d4f24add8f10a06d6f05b4d424ad9e96cfebf68a4ddc99c65c0720d00c2"}, ] +markers = {main = "(platform_python_implementation != \"PyPy\" or extra == \"proxy\") and implementation_name != \"PyPy\"", dev = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\"", proxy-dev = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\""} [[package]] name = "pydantic" @@ -4251,6 +4476,7 @@ version = "2.10.6" description = 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[ {file = "redis-5.3.1-py3-none-any.whl", hash = "sha256:dc1909bd24669cc31b5f67a039700b16ec30571096c5f1f0d9d2324bff31af97"}, {file = "redis-5.3.1.tar.gz", hash = "sha256:ca49577a531ea64039b5a36db3d6cd1a0c7a60c34124d46924a45b956e8cf14c"}, @@ -4843,6 +5030,8 @@ version = "0.4.1" description = "Python client library and CLI for using Redis as a vector database" optional = true python-versions = "<3.14,>=3.9" +groups = ["main"] +markers = "extra == \"extra-proxy\" and python_version < \"3.14\"" files = [ {file = "redisvl-0.4.1-py3-none-any.whl", hash = "sha256:6db5d5bc95b1fe8032a1cdae74ce1c65bc7fe9054e5429b5d34d5a91d28bae5f"}, {file = "redisvl-0.4.1.tar.gz", hash = "sha256:fd6a36426ba94792c0efca20915c31232d4ee3cc58eb23794a62c142696401e6"}, @@ -4867,7 +5056,7 @@ bedrock = ["boto3[bedrock] (>=1.36.0,<2.0.0)"] cohere = ["cohere (>=4.44)"] mistralai = ["mistralai (>=1.0.0)"] openai = ["openai (>=1.13.0,<2.0.0)"] -sentence-transformers = ["scipy (<1.15)", "scipy (>=1.15,<2.0)", "sentence-transformers (>=3.4.0,<4.0.0)"] +sentence-transformers = ["scipy (<1.15) ; python_version < \"3.10\"", "scipy (>=1.15,<2.0) ; python_version >= \"3.10\"", "sentence-transformers (>=3.4.0,<4.0.0)"] vertexai = ["google-cloud-aiplatform (>=1.26,<2.0)", "protobuf (>=5.29.1,<6.0.0)"] voyageai = ["voyageai (>=0.2.2)"] @@ -4877,6 +5066,7 @@ version = "0.35.1" description = "JSON Referencing + Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"}, {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"}, @@ -4892,6 +5082,7 @@ version = "2024.11.6" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"}, {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"}, @@ -4995,6 +5186,8 @@ version = "2.31.0" description = "Python HTTP for Humans." optional = false python-versions = ">=3.7" +groups = ["main", "dev", "proxy-dev"] +markers = "python_version >= \"3.14\"" files = [ {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, @@ -5010,12 +5203,36 @@ urllib3 = ">=1.21.1,<3" socks = ["PySocks (>=1.5.6,!=1.5.7)"] use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] +[[package]] +name = "requests" +version = "2.32.5" +description = "Python HTTP for Humans." +optional = false +python-versions = ">=3.9" +groups = ["main", "dev", "proxy-dev"] +markers = "python_version < \"3.14\"" +files = [ + {file = "requests-2.32.5-py3-none-any.whl", hash = "sha256:2462f94637a34fd532264295e186976db0f5d453d1cdd31473c85a6a161affb6"}, + {file = "requests-2.32.5.tar.gz", hash = "sha256:dbba0bac56e100853db0ea71b82b4dfd5fe2bf6d3754a8893c3af500cec7d7cf"}, +] + +[package.dependencies] +certifi = ">=2017.4.17" +charset_normalizer = ">=2,<4" +idna = ">=2.5,<4" +urllib3 = ">=1.21.1,<3" + +[package.extras] +socks = ["PySocks (>=1.5.6,!=1.5.7)"] +use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] + [[package]] name = "requests-mock" version = "1.12.1" description = "Mock out responses from the requests package" optional = false python-versions = ">=3.5" +groups = ["dev"] files = [ {file = "requests-mock-1.12.1.tar.gz", hash = "sha256:e9e12e333b525156e82a3c852f22016b9158220d2f47454de9cae8a77d371401"}, {file = "requests_mock-1.12.1-py2.py3-none-any.whl", hash = "sha256:b1e37054004cdd5e56c84454cc7df12b25f90f382159087f4b6915aaeef39563"}, @@ -5028,18 +5245,37 @@ requests = ">=2.22,<3" fixture = ["fixtures"] [[package]] -name = "resend" -version = "0.8.0" -description = "Resend Python SDK" +name = "requests-toolbelt" +version = "1.0.0" +description = "A utility belt for advanced users of python-requests" optional = true -python-versions = ">=3.7" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +groups = ["main"] +markers = "extra == \"semantic-router\" and python_version < \"3.14\"" files = [ - {file = "resend-0.8.0-py2.py3-none-any.whl", hash = "sha256:adc1515dadf4f4fc6b90db55a237f0f37fc56fd74287a986519a8a187fdb661d"}, - {file = "resend-0.8.0.tar.gz", hash = "sha256:94142394701724dbcfcd8f760f675c662a1025013e741dd7cc773ca885526257"}, + {file = "requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6"}, + {file = "requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06"}, ] [package.dependencies] -requests = "2.31.0" +requests = ">=2.0.1,<3.0.0" + +[[package]] +name = "resend" +version = "2.19.0" +description = "Resend Python SDK" +optional = true +python-versions = ">=3.7" +groups = ["main"] +markers = "extra == \"extra-proxy\"" +files = [ + {file = "resend-2.19.0-py2.py3-none-any.whl", hash = "sha256:1a8b9fcacbe058876ebce757ac2542103ed7227caec10e5c58613ee58615acaa"}, + {file = "resend-2.19.0.tar.gz", hash = "sha256:b11191561cdb0ed7aa193212b7c8865bf635013c4d11bd81caf471d1b362be02"}, +] + +[package.dependencies] +requests = ">=2.31.0" +typing-extensions = ">=4.4.0" [[package]] name = "responses" @@ -5047,6 +5283,7 @@ version = "0.25.8" description = "A utility library for mocking out the `requests` Python library." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "responses-0.25.8-py3-none-any.whl", hash = "sha256:0c710af92def29c8352ceadff0c3fe340ace27cf5af1bbe46fb71275bcd2831c"}, {file = "responses-0.25.8.tar.gz", hash = "sha256:9374d047a575c8f781b94454db5cab590b6029505f488d12899ddb10a4af1cf4"}, @@ -5058,7 +5295,7 @@ requests = ">=2.30.0,<3.0" urllib3 = ">=1.25.10,<3.0" [package.extras] -tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=7.0.0)", "pytest-asyncio", "pytest-cov", "pytest-httpserver", "tomli", "tomli-w", "types-PyYAML", "types-requests"] +tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=7.0.0)", "pytest-asyncio", "pytest-cov", "pytest-httpserver", "tomli ; python_version < \"3.11\"", "tomli-w", "types-PyYAML", "types-requests"] [[package]] name = "respx" @@ -5066,6 +5303,7 @@ version = "0.22.0" description = "A utility for mocking out the Python HTTPX and HTTP Core libraries." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "respx-0.22.0-py2.py3-none-any.whl", hash = "sha256:631128d4c9aba15e56903fb5f66fb1eff412ce28dd387ca3a81339e52dbd3ad0"}, {file = "respx-0.22.0.tar.gz", hash = "sha256:3c8924caa2a50bd71aefc07aa812f2466ff489f1848c96e954a5362d17095d91"}, @@ -5080,6 +5318,8 @@ version = "13.7.1" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = true python-versions = ">=3.7.0" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "rich-13.7.1-py3-none-any.whl", hash = "sha256:4edbae314f59eb482f54e9e30bf00d33350aaa94f4bfcd4e9e3110e64d0d7222"}, {file = "rich-13.7.1.tar.gz", hash = "sha256:9be308cb1fe2f1f57d67ce99e95af38a1e2bc71ad9813b0e247cf7ffbcc3a432"}, @@ -5088,7 +5328,6 @@ files = [ [package.dependencies] markdown-it-py = ">=2.2.0" pygments = ">=2.13.0,<3.0.0" -typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""} [package.extras] jupyter = ["ipywidgets (>=7.5.1,<9)"] @@ -5099,6 +5338,7 @@ version = "0.20.1" description = "Python bindings to Rust's persistent data structures (rpds)" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "rpds_py-0.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a649dfd735fff086e8a9d0503a9f0c7d01b7912a333c7ae77e1515c08c146dad"}, {file = "rpds_py-0.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f16bc1334853e91ddaaa1217045dd7be166170beec337576818461268a3de67f"}, @@ -5211,6 +5451,8 @@ version = "2.3.3" description = "RQ is a simple, lightweight, library for creating background jobs, and processing them." optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "rq-2.3.3-py3-none-any.whl", hash = "sha256:2202c4409c4c527ac4bee409867d6c02515dd110030499eb0de54c7374aee0ce"}, {file = "rq-2.3.3.tar.gz", hash = "sha256:20c41c977b6f27c852a41bd855893717402bae7b8d9607dca21fe9dd55453e22"}, @@ -5226,6 +5468,8 @@ version = "4.9.1" description = "Pure-Python RSA implementation" optional = true python-versions = "<4,>=3.6" +groups = ["main"] +markers = "python_version >= \"3.10\" and (extra == \"mlflow\" or extra == \"extra-proxy\") or extra == \"extra-proxy\"" files = [ {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"}, {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"}, @@ -5240,6 +5484,7 @@ version = "0.1.15" description = "An extremely fast Python linter and code formatter, written in Rust." optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:5fe8d54df166ecc24106db7dd6a68d44852d14eb0729ea4672bb4d96c320b7df"}, {file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6f0bfbb53c4b4de117ac4d6ddfd33aa5fc31beeaa21d23c45c6dd249faf9126f"}, @@ -5266,6 +5511,8 @@ version = "0.11.3" description = "An Amazon S3 Transfer Manager" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "s3transfer-0.11.3-py3-none-any.whl", hash = "sha256:ca855bdeb885174b5ffa95b9913622459d4ad8e331fc98eb01e6d5eb6a30655d"}, {file = "s3transfer-0.11.3.tar.gz", hash = "sha256:edae4977e3a122445660c7c114bba949f9d191bae3b34a096f18a1c8c354527a"}, @@ -5283,6 +5530,8 @@ version = "1.7.2" description = "A set of python modules for machine learning and data mining" optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "scikit_learn-1.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b33579c10a3081d076ab403df4a4190da4f4432d443521674637677dc91e61f"}, {file = "scikit_learn-1.7.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:36749fb62b3d961b1ce4fedf08fa57a1986cd409eff2d783bca5d4b9b5fce51c"}, @@ -5338,6 +5587,8 @@ version = "1.15.3" description = "Fundamental algorithms for scientific computing in Python" optional = true python-versions = ">=3.10" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "scipy-1.15.3-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:a345928c86d535060c9c2b25e71e87c39ab2f22fc96e9636bd74d1dbf9de448c"}, {file = "scipy-1.15.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ad3432cb0f9ed87477a8d97f03b763fd1d57709f1bbde3c9369b1dff5503b253"}, @@ -5393,32 +5644,51 @@ numpy = ">=1.23.5,<2.5" [package.extras] dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] doc = ["intersphinx_registry", "jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.19.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<8.0.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0)"] -test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] +test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja ; sys_platform != \"emscripten\"", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] [[package]] name = "semantic-router" -version = "0.0.20" +version = "0.1.12" description = "Super fast semantic router for AI decision making" optional = true -python-versions = ">=3.9,<4.0" +python-versions = "<3.14,>=3.9" +groups = ["main"] +markers = "extra == \"semantic-router\" and python_version < \"3.14\"" files = [ - {file = "semantic_router-0.0.20-py3-none-any.whl", hash = "sha256:7a713401564fb6cf22b566046ad32a4224e4f357be8de6583ca3b9ee328c8f95"}, - {file = "semantic_router-0.0.20.tar.gz", hash = "sha256:26119a4628ca72b2fa9eacd446ea763b6f1925a661a34e26945433d2601efac7"}, + {file = "semantic_router-0.1.12-py3-none-any.whl", hash = "sha256:94658545f89cc63d2eb7dff6f74bc713b61bbcfe91146b0e4353a383f6790804"}, + {file = "semantic_router-0.1.12.tar.gz", hash = "sha256:b63fbb8b9127dcb1763efea17dfa74ab409e626e87c8695b589131af12ef3a65"}, ] [package.dependencies] -black = ">=23.12.1,<24.0.0" -cohere = ">=4.32,<5.0" -colorlog = ">=6.8.0,<7.0.0" -numpy = ">=1.25.2,<2.0.0" -openai = ">=1.10.0,<2.0.0" -pydantic = ">=2.5.3,<3.0.0" -pyyaml = ">=6.0.1,<7.0.0" +aiohttp = ">=3.10.11,<4" +aurelio-sdk = ">=0.0.19" +colorama = ">=0.4.6,<0.5" +colorlog = ">=6.8.0,<7" +litellm = ">=1.61.3" +numpy = ">=1.25.2" +openai = ">=1.10.0,<3.0.0" +pydantic = ">=2.10.2,<3" +pyyaml = ">=6.0.1,<7" +regex = ">=2023.12.25" +tiktoken = ">=0.6.0,<1.0.0" +tornado = ">=6.4.2,<7" +urllib3 = ">=1.26,<3" [package.extras] -fastembed = ["fastembed (>=0.1.3,<0.2.0)"] -hybrid = ["pinecone-text (>=0.7.1,<0.8.0)"] -local = ["llama-cpp-python (>=0.2.28,<0.3.0)", "torch (>=2.1.0,<3.0.0)", "transformers (>=4.36.2,<5.0.0)"] +all = ["boto3 (>=1.34.98,<2)", "botocore 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"sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -5437,6 +5708,8 @@ version = "5.0.2" description = "A pure Python implementation of a sliding window memory map manager" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e"}, {file = "smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5"}, @@ -5448,6 +5721,7 @@ version = "1.3.1" description = "Sniff out which async library your code is running under" optional = false python-versions = ">=3.7" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, {file = "sniffio-1.3.1.tar.gz", hash = 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hash = "sha256:d922be1563ce17a69582a352a86f28ed8c9f6a8bc951df63476ffc310c064bfa"}, @@ -5493,6 +5771,8 @@ version = "7.1.2" description = "Python documentation generator" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"utils\"" files = [ {file = "sphinx-7.1.2-py3-none-any.whl", hash = "sha256:d170a81825b2fcacb6dfd5a0d7f578a053e45d3f2b153fecc948c37344eb4cbe"}, {file = "sphinx-7.1.2.tar.gz", hash = "sha256:780f4d32f1d7d1126576e0e5ecc19dc32ab76cd24e950228dcf7b1f6d3d9e22f"}, @@ -5528,6 +5808,8 @@ version = "1.0.4" description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"utils\"" files = [ {file = "sphinxcontrib-applehelp-1.0.4.tar.gz", hash = "sha256:828f867945bbe39817c210a1abfd1bc4895c8b73fcaade56d45357a348a07d7e"}, {file = "sphinxcontrib_applehelp-1.0.4-py3-none-any.whl", hash = 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+6063,8 @@ version = "0.9.0" description = "Pretty-print tabular data" optional = true python-versions = ">=3.7" +groups = ["main"] +markers = "(extra == \"extra-proxy\" or extra == \"utils\") and python_version < \"3.14\" or extra == \"utils\"" files = [ {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, @@ -5778,6 +6079,8 @@ version = "0.2.2" description = "backport of asyncio.TaskGroup, asyncio.Runner and asyncio.timeout" optional = false python-versions = "*" +groups = ["proxy-dev"] +markers = "python_version < \"3.11\"" files = [ {file = "taskgroup-0.2.2-py2.py3-none-any.whl", hash = "sha256:e2c53121609f4ae97303e9ea1524304b4de6faf9eb2c9280c7f87976479a52fb"}, {file = "taskgroup-0.2.2.tar.gz", hash = "sha256:078483ac3e78f2e3f973e2edbf6941374fbea81b9c5d0a96f51d297717f4752d"}, @@ -5793,6 +6096,8 @@ version = "9.1.2" description = "Retry code until it succeeds" optional = true python-versions = ">=3.9" +groups = ["main"] +markers = "extra == \"extra-proxy\" and python_version < \"3.14\"" files = [ {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"}, {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"}, @@ -5808,6 +6113,8 @@ version = "3.6.0" description = "threadpoolctl" optional = true python-versions = ">=3.9" +groups = ["main"] +markers = "python_version >= \"3.10\" and extra == \"mlflow\"" files = [ {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"}, {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"}, @@ -5819,6 +6126,7 @@ version = "0.7.0" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"}, {file = "tiktoken-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225"}, @@ -5871,6 +6179,7 @@ version = "0.21.0" description = "" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"}, {file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"}, @@ -5903,6 +6212,7 @@ version = "2.3.0" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = 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platform_system == \"Windows\" and extra == \"mlflow\"" files = [ {file = "waitress-3.0.2-py3-none-any.whl", hash = "sha256:c56d67fd6e87c2ee598b76abdd4e96cfad1f24cacdea5078d382b1f9d7b5ed2e"}, {file = "waitress-3.0.2.tar.gz", hash = "sha256:682aaaf2af0c44ada4abfb70ded36393f0e307f4ab9456a215ce0020baefc31f"}, @@ -6263,6 +6626,8 @@ version = "13.1" description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" optional = true python-versions = ">=3.8" +groups = ["main"] +markers = "extra == \"proxy\"" files = [ {file = "websockets-13.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f48c749857f8fb598fb890a75f540e3221d0976ed0bf879cf3c7eef34151acee"}, {file = "websockets-13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c7e72ce6bda6fb9409cc1e8164dd41d7c91466fb599eb047cfda72fe758a34a7"}, @@ -6358,6 +6723,8 @@ version = "3.1.3" description = "The comprehensive WSGI web application library." optional = true python-versions = ">=3.9" +groups = ["main"] +markers = 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"sha256:f66eb08feaa410fe4eebd17f2a2c8e2e46d3476e9f8c783daa8e09e0faa666d0"}, ] +markers = {main = "python_version >= \"3.10\""} [[package]] name = "wsproto" @@ -6465,6 +6834,7 @@ version = "1.2.0" description = "WebSockets state-machine based protocol implementation" optional = false python-versions = ">=3.7.0" +groups = ["proxy-dev"] files = [ {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"}, {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"}, @@ -6479,6 +6849,7 @@ version = "1.15.2" description = "Yet another URL library" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "yarl-1.15.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e4ee8b8639070ff246ad3649294336b06db37a94bdea0d09ea491603e0be73b8"}, {file = "yarl-1.15.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a7cf963a357c5f00cb55b1955df8bbe68d2f2f65de065160a1c26b85a1e44172"}, @@ -6591,17 +6962,18 @@ version = "3.20.2" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.8" +groups = ["main", "dev", "proxy-dev"] files = [ {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"}, {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] -test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] type = ["pytest-mypy"] [extras] @@ -6613,6 +6985,6 @@ semantic-router = ["semantic-router"] utils = ["numpydoc"] [metadata] -lock-version = "2.0" -python-versions = ">=3.8.1,<4.0, !=3.9.7" -content-hash = "ced4152a4f49f03f1909103e4ee1738d4f7c0f04bc9c7ea5f59a84917a4b19d7" +lock-version = "2.1" +python-versions = ">=3.9,<4.0" +content-hash = "ed84cd86a8f6551a7d31460c7281078b95327f01d89a9795e1dc284f33852cfb" diff --git a/pyproject.toml b/pyproject.toml index 1fc0ab0ea2c..4fbdff3328f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,10 +19,10 @@ documentation = "https://docs.litellm.ai" Documentation = "https://docs.litellm.ai" [tool.poetry.dependencies] -python = ">=3.8.1,<4.0, !=3.9.7" +python = ">=3.9,<4.0" fastuuid = ">=0.13.0" httpx = ">=0.23.0" -openai = ">=1.99.5" +openai = ">=2.8.0" python-dotenv = ">=0.2.0" tiktoken = ">=0.7.0" importlib-metadata = ">=6.8.0" @@ -53,7 +53,7 @@ azure-keyvault-secrets = {version = "^4.8.0", optional = true} azure-storage-blob = {version="^12.25.1", optional=true} google-cloud-kms = {version = "^2.21.3", optional = true} google-cloud-iam = {version = "^2.19.1", optional = true} -resend = {version = "^0.8.0", optional = true} +resend = {version = ">=0.8.0", optional = true} pynacl = {version = "^1.5.0", optional = true} websockets = {version = "^13.1.0", optional = true} boto3 = {version = "1.36.0", optional = true} @@ -64,7 +64,7 @@ rich = {version = "13.7.1", optional = true} litellm-enterprise = {version = "0.1.21", optional = true} diskcache = {version = "^5.6.1", optional = true} polars = {version = "^1.31.0", optional = true, python = ">=3.10"} -semantic-router = {version = "*", optional = true, python = ">=3.9"} +semantic-router = {version = ">=0.1.12", optional = true, python = ">=3.9,<3.14"} mlflow = {version = ">3.1.4", optional = true, python = ">=3.10"} soundfile = {version = "^0.12.1", optional = true} From 69fcedb6d994601eb3e3b52a37f3877244ad5884 Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Tue, 18 Nov 2025 20:12:19 -0800 Subject: [PATCH 004/227] [Fix] UI - Add css to truncate long request ids in request viewer (#16665) * Add css to truncate long request ids in request viewer * Show tooltip with entire request id when request id is truncated --- .../src/components/view_logs/index.test.tsx | 63 +++++++++++++++++++ .../src/components/view_logs/index.tsx | 33 +++++----- 2 files changed, 81 insertions(+), 15 deletions(-) create mode 100644 ui/litellm-dashboard/src/components/view_logs/index.test.tsx diff --git a/ui/litellm-dashboard/src/components/view_logs/index.test.tsx b/ui/litellm-dashboard/src/components/view_logs/index.test.tsx new file mode 100644 index 00000000000..294dc84761b --- /dev/null +++ b/ui/litellm-dashboard/src/components/view_logs/index.test.tsx @@ -0,0 +1,63 @@ +import { render } from "@testing-library/react"; +import { describe, expect, it } from "vitest"; +import { RequestViewer } from "./index"; +import type { LogEntry } from "./columns"; +import type { Row } from "@tanstack/react-table"; + +const baseLogEntry: LogEntry = { + request_id: "chatcmpl-test-id", + api_key: "api-key", + team_id: "team-id", + model: "gpt-4", + model_id: "gpt-4", + call_type: "chat", + spend: 0, + total_tokens: 0, + prompt_tokens: 0, + completion_tokens: 0, + startTime: "2025-11-14T00:00:00Z", + endTime: "2025-11-14T00:00:00Z", + cache_hit: "miss", + duration: 1, + messages: [{ role: "user", content: "hello" }], + response: { status: "ok" }, + metadata: { + status: "success", + additional_usage_values: { + cache_read_input_tokens: 0, + cache_creation_input_tokens: 0, + }, + }, + request_tags: {}, + custom_llm_provider: "openai", + api_base: "https://api.example.com", +}; + +const createRow = (overrides: Partial = {}): Row => + ({ + original: { + ...baseLogEntry, + ...overrides, + }, + }) as unknown as Row; + +describe("Request Viewer", () => { + it("renders the request details heading", () => { + const { getByText } = render(); + expect(getByText("Request Details")).toBeInTheDocument(); + }); + + it("should truncate the request id if it is longer than 64 characters", () => { + const LONG_REQUEST_ID = "a".repeat(128); + const TRUNCATED_REQUEST_ID = `${"a".repeat(64)}...`; + const { getByText } = render( + , + ); + + expect(getByText(TRUNCATED_REQUEST_ID)).toBeInTheDocument(); + }); +}); diff --git a/ui/litellm-dashboard/src/components/view_logs/index.tsx b/ui/litellm-dashboard/src/components/view_logs/index.tsx index fb833bdfca3..04c81d832d6 100644 --- a/ui/litellm-dashboard/src/components/view_logs/index.tsx +++ b/ui/litellm-dashboard/src/components/view_logs/index.tsx @@ -26,6 +26,7 @@ import { Tab, TabGroup, TabList, TabPanels, TabPanel, Switch } from "@tremor/rea import AuditLogs from "./audit_logs"; import { getTimeRangeDisplay } from "./logs_utils"; import { formatNumberWithCommas } from "@/utils/dataUtils"; +import { truncateString } from "@/utils/textUtils"; interface SpendLogsTableProps { accessToken: string | null; @@ -791,11 +792,7 @@ export function RequestViewer({ row }: { row: Row }) { // Extract guardrail information from metadata if available const guardrailInfo = row.original.metadata?.guardrail_information; - const guardrailEntries = Array.isArray(guardrailInfo) - ? guardrailInfo - : guardrailInfo - ? [guardrailInfo] - : []; + const guardrailEntries = Array.isArray(guardrailInfo) ? guardrailInfo : guardrailInfo ? [guardrailInfo] : []; const hasGuardrailData = guardrailEntries.length > 0; // Calculate total masked entities if guardrail data exists @@ -806,18 +803,18 @@ export function RequestViewer({ row }: { row: Row }) { } return ( sum + - Object.values(maskedCounts).reduce( - (acc, count) => (typeof count === "number" ? acc + count : acc), - 0, - ) + Object.values(maskedCounts).reduce((acc, count) => (typeof count === "number" ? acc + count : acc), 0) ); }, 0); - const primaryGuardrailLabel = guardrailEntries.length === 1 - ? guardrailEntries[0]?.guardrail_name ?? "-" - : guardrailEntries.length > 1 - ? `${guardrailEntries.length} guardrails` - : "-"; + const primaryGuardrailLabel = + guardrailEntries.length === 1 + ? guardrailEntries[0]?.guardrail_name ?? "-" + : guardrailEntries.length > 1 + ? `${guardrailEntries.length} guardrails` + : "-"; + + const truncatedRequestId = truncateString(row.original.request_id, 64); return (
@@ -830,7 +827,13 @@ export function RequestViewer({ row }: { row: Row }) {
Request ID: - {row.original.request_id} + {row.original.request_id.length > 64 ? ( + + {truncatedRequestId} + + ) : ( + {row.original.request_id} + )}
Model: From 2e007505da35db65b60cad4c69dd3d066c9d3a49 Mon Sep 17 00:00:00 2001 From: Alexsander Hamir Date: Tue, 18 Nov 2025 20:12:49 -0800 Subject: [PATCH 005/227] fix(spend-logs): trim logged response strings (#16654) * fix(spend-logs): trim logged response strings - route spend-log responses through the existing string sanitizer so oversized base64/text fields are truncated before persistence - add unit tests covering the truncation path and the feature flag Note: embeddings-specific truncation (numeric vectors) is still pending and will be handled separately. * remove unnecessary comment * add: sanitization unit test for embeddings * fix: simplify sanatization logic I overcomplicated a simple change for lack of understanding, fixed. --- .../spend_tracking/spend_tracking_utils.py | 15 +++- .../test_spend_tracking_utils.py | 69 ++++++++++++++++++- 2 files changed, 82 insertions(+), 2 deletions(-) diff --git a/litellm/proxy/spend_tracking/spend_tracking_utils.py b/litellm/proxy/spend_tracking/spend_tracking_utils.py index 32d9c4b1f21..3f85de855d8 100644 --- a/litellm/proxy/spend_tracking/spend_tracking_utils.py +++ b/litellm/proxy/spend_tracking/spend_tracking_utils.py @@ -651,7 +651,20 @@ def _get_response_for_spend_logs_payload( if payload is None: return "{}" if _should_store_prompts_and_responses_in_spend_logs(): - return json.dumps(payload.get("response", {})) + response_obj: Any = payload.get("response") + if response_obj is None: + return "{}" + + sanitized_wrapper = _sanitize_request_body_for_spend_logs_payload( + {"response": response_obj} + ) + sanitized_response = sanitized_wrapper.get("response", response_obj) + + if sanitized_response is None: + return "{}" + if isinstance(sanitized_response, str): + return sanitized_response + return safe_dumps(sanitized_response) return "{}" diff --git a/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py b/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py index ab8709d818a..1c137c43ba9 100644 --- a/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py +++ b/tests/test_litellm/proxy/spend_tracking/test_spend_tracking_utils.py @@ -4,7 +4,7 @@ import json import os import sys from datetime import timezone -from typing import Any +from typing import Any, cast import pytest from fastapi.testclient import TestClient @@ -19,10 +19,12 @@ import litellm from litellm.constants import LITELLM_TRUNCATED_PAYLOAD_FIELD, REDACTED_BY_LITELM_STRING from litellm.litellm_core_utils.safe_json_dumps import safe_dumps from litellm.proxy.spend_tracking.spend_tracking_utils import ( + _get_response_for_spend_logs_payload, _get_vector_store_request_for_spend_logs_payload, _sanitize_request_body_for_spend_logs_payload, get_logging_payload, ) +from litellm.types.utils import StandardLoggingPayload def test_sanitize_request_body_for_spend_logs_payload_basic(): @@ -235,6 +237,71 @@ def test_get_vector_store_request_for_spend_logs_payload_null_input(mock_should_ assert result is None +@patch( + "litellm.proxy.spend_tracking.spend_tracking_utils._should_store_prompts_and_responses_in_spend_logs" +) +def test_get_response_for_spend_logs_payload_truncates_large_base64(mock_should_store): + from litellm.constants import MAX_STRING_LENGTH_PROMPT_IN_DB + + mock_should_store.return_value = True + large_text = "A" * (MAX_STRING_LENGTH_PROMPT_IN_DB + 500) + payload = cast( + StandardLoggingPayload, + { + "response": { + "data": [ + { + "b64_json": large_text, + "other_field": "value", + } + ] + } + }, + ) + + response_json = _get_response_for_spend_logs_payload(payload) + parsed = json.loads(response_json) + truncated_value = parsed["data"][0]["b64_json"] + assert len(truncated_value) < len(large_text) + assert LITELLM_TRUNCATED_PAYLOAD_FIELD in truncated_value + assert parsed["data"][0]["other_field"] == "value" + + +@patch( + "litellm.proxy.spend_tracking.spend_tracking_utils._should_store_prompts_and_responses_in_spend_logs" +) +def test_get_response_for_spend_logs_payload_truncates_large_embedding(mock_should_store): + from litellm.constants import MAX_STRING_LENGTH_PROMPT_IN_DB + + mock_should_store.return_value = True + embedding_values = [ + round(i * 0.0001, 6) for i in range(MAX_STRING_LENGTH_PROMPT_IN_DB + 500) + ] + large_embedding = json.dumps(embedding_values) + payload = cast( + StandardLoggingPayload, + { + "response": { + "data": [ + { + "embedding": large_embedding, + "other_field": "value", + } + ] + } + }, + ) + + response_json = _get_response_for_spend_logs_payload(payload) + parsed = json.loads(response_json) + truncated_value = parsed["data"][0]["embedding"] + + assert isinstance(truncated_value, str) + assert len(truncated_value) < len(large_embedding) + assert LITELLM_TRUNCATED_PAYLOAD_FIELD in truncated_value + assert parsed["data"][0]["other_field"] == "value" + + def test_safe_dumps_handles_circular_references(): """Test that safe_dumps can handle circular references without raising exceptions""" From ab8704f60df3f855245d98986b7e4298cac4469a Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Tue, 18 Nov 2025 20:13:48 -0800 Subject: [PATCH 006/227] Change placeholder for Azure in Add Model (#16597) --- .../add_model/litellm_model_name.test.tsx | 30 +++++++++++++++++++ .../src/components/provider_info_helpers.tsx | 2 +- 2 files changed, 31 insertions(+), 1 deletion(-) create mode 100644 ui/litellm-dashboard/src/components/add_model/litellm_model_name.test.tsx diff --git a/ui/litellm-dashboard/src/components/add_model/litellm_model_name.test.tsx b/ui/litellm-dashboard/src/components/add_model/litellm_model_name.test.tsx new file mode 100644 index 00000000000..f1fd3fecb37 --- /dev/null +++ b/ui/litellm-dashboard/src/components/add_model/litellm_model_name.test.tsx @@ -0,0 +1,30 @@ +import { render } from "@testing-library/react"; +import { Form } from "antd"; +import { describe, expect, it } from "vitest"; +import { getPlaceholder, Providers } from "../provider_info_helpers"; +import LiteLLMModelNameField from "./litellm_model_name"; + +describe("LitellmModelNameField", () => { + it("should render", () => { + const { getByText } = render( +
+ + , + ); + expect(getByText("LiteLLM Model Name(s)")).toBeInTheDocument(); + }); + + it("should show Azure placeholder as 'my-deployment'", () => { + const { getByPlaceholderText, queryByPlaceholderText } = render( +
+ + , + ); + expect(getByPlaceholderText("my-deployment")).toBeInTheDocument(); + expect(queryByPlaceholderText("gpt-3.5-turbo")).toBeNull(); + }); +}); diff --git a/ui/litellm-dashboard/src/components/provider_info_helpers.tsx b/ui/litellm-dashboard/src/components/provider_info_helpers.tsx index 8d417190297..110be8e376b 100644 --- a/ui/litellm-dashboard/src/components/provider_info_helpers.tsx +++ b/ui/litellm-dashboard/src/components/provider_info_helpers.tsx @@ -176,7 +176,7 @@ export const getPlaceholder = (selectedProvider: string): string => { } else if (selectedProvider == Providers.Azure_AI_Studio) { return "azure_ai/command-r-plus"; } else if (selectedProvider == Providers.Azure) { - return "azure/my-deployment"; + return "my-deployment"; } else if (selectedProvider == Providers.Oracle) { return "oci/xai.grok-4"; } else if (selectedProvider == Providers.Snowflake) { From 34cc532d8d2370238b45f5070595c5e43118727b Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Wed, 19 Nov 2025 09:44:42 +0530 Subject: [PATCH 007/227] Make sure that user inherits team permissions (#16639) --- litellm/proxy/_types.py | 1 + litellm/proxy/auth/user_api_key_auth.py | 1 + litellm/proxy/utils.py | 1 + .../test_user_api_key_auth.py | 46 +++++++++++++++++++ 4 files changed, 49 insertions(+) diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index 90fe179fcd8..c0d14246f6b 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -1960,6 +1960,7 @@ class LiteLLM_VerificationTokenView(LiteLLM_VerificationToken): team_model_aliases: Optional[Dict] = None team_member: Optional[Member] = None team_metadata: Optional[Dict] = None + team_object_permission_id: Optional[str] = None # Team Member Specific Params team_member_spend: Optional[float] = None diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index 05d0006300b..2e8513e1b9c 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -1077,6 +1077,7 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 blocked=valid_token.team_blocked, models=valid_token.team_models, metadata=valid_token.team_metadata, + object_permission_id=valid_token.team_object_permission_id, ) else: _team_obj = None diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 015540caafd..9747329cd4f 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -2184,6 +2184,7 @@ class PrismaClient: t.team_alias AS team_alias, t.metadata AS team_metadata, t.members_with_roles AS team_members_with_roles, + t.object_permission_id AS team_object_permission_id, t.organization_id as org_id, tm.spend AS team_member_spend, m.aliases AS team_model_aliases, diff --git a/tests/proxy_unit_tests/test_user_api_key_auth.py b/tests/proxy_unit_tests/test_user_api_key_auth.py index 1eb1eef4c22..2d7de01ec0a 100644 --- a/tests/proxy_unit_tests/test_user_api_key_auth.py +++ b/tests/proxy_unit_tests/test_user_api_key_auth.py @@ -139,6 +139,52 @@ async def test_check_blocked_team(): await user_api_key_auth(request=request, api_key="Bearer " + user_key) +@pytest.mark.asyncio +async def test_team_object_has_object_permission_id(): + """ + Ensure the team object passed into common_checks contains the team's object_permission_id. + """ + import asyncio + import time + + from fastapi import Request + from starlette.datastructures import URL + + from litellm.proxy.proxy_server import hash_token, user_api_key_cache + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + team_id = "team-vector" + permission_id = "perm-vector-123" + user_key = "sk-12345678" + hashed_key = hash_token(user_key) + + valid_token = UserAPIKeyAuth( + team_id=team_id, + token=hashed_key, + last_refreshed_at=time.time(), + team_object_permission_id=permission_id, + ) + user_api_key_cache.set_cache(key=hashed_key, value=valid_token) + + setattr(litellm.proxy.proxy_server, "user_api_key_cache", user_api_key_cache) + setattr(litellm.proxy.proxy_server, "master_key", "sk-1234") + setattr(litellm.proxy.proxy_server, "prisma_client", "test-client") + + request = Request(scope={"type": "http"}) + request._url = URL(url="/chat/completions") + + with patch( + "litellm.proxy.auth.user_api_key_auth.common_checks", new_callable=AsyncMock + ) as mock_common_checks: + mock_common_checks.return_value = True + await user_api_key_auth(request=request, api_key="Bearer " + user_key) + + assert mock_common_checks.await_args is not None + team_object = mock_common_checks.await_args.kwargs.get("team_object") + assert team_object is not None + assert team_object.object_permission_id == permission_id + + @pytest.mark.parametrize( "user_role, expected_role", [ From 5f463cef6425b7f258a79b12995d76ec0500625f Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Tue, 18 Nov 2025 20:31:34 -0800 Subject: [PATCH 008/227] Fix edit logging settings not appearing (#16798) --- .../LoggingCallbacksTable.tsx | 26 +- .../src/components/settings.test.tsx | 84 +++- .../src/components/settings.tsx | 443 +++++++++++------- 3 files changed, 355 insertions(+), 198 deletions(-) diff --git a/ui/litellm-dashboard/src/components/Settings/LoggingAndAlerts/LoggingCallbacks/LoggingCallbacksTable.tsx b/ui/litellm-dashboard/src/components/Settings/LoggingAndAlerts/LoggingCallbacks/LoggingCallbacksTable.tsx index d30f0ff92e8..6b79b54ec06 100644 --- a/ui/litellm-dashboard/src/components/Settings/LoggingAndAlerts/LoggingCallbacks/LoggingCallbacksTable.tsx +++ b/ui/litellm-dashboard/src/components/Settings/LoggingAndAlerts/LoggingCallbacks/LoggingCallbacksTable.tsx @@ -1,9 +1,8 @@ import { PencilAltIcon, PlayIcon, TrashIcon } from "@heroicons/react/outline"; import { Button, Icon } from "@tremor/react"; import type { TableProps } from "antd"; -import { Table } from "antd"; +import { Table, Tooltip } from "antd"; import Title from "antd/es/typography/Title"; -import { PlusCircle } from "lucide-react"; import React from "react"; import { AlertingObject } from "./types"; @@ -80,31 +79,31 @@ export const LoggingCallbacksTable: React.FC = ({ align: "right", render: (_: unknown, record: CallbackRow) => (
- + onTest(record)} /> - + - + onEdit(record)} /> - - + + onDelete(record)} /> - +
), width: 240, @@ -124,16 +123,9 @@ export const LoggingCallbacksTable: React.FC = ({

No callbacks configured

-

Add your first callback to start logging data to external services.

- +

Add your first callback to start logging data to external services.

-
/* Callbacks list */ +
) : (
{ expect(mockGetCallbackConfigsCall).toHaveBeenCalledWith(defaultProps.accessToken); }); }); + + it("should display edit modal with fields when edit is clicked", async () => { + const mockCallback = { + name: "langfuse", + variables: { + LANGFUSE_PUBLIC_KEY: "test-public-key", + LANGFUSE_SECRET_KEY: "test-secret-key", + LANGFUSE_HOST: "https://test.langfuse.com", + SLACK_WEBHOOK_URL: null, + OPENMETER_API_KEY: null, + }, + }; + + const mockCallbackConfig = { + id: "langfuse", + displayName: "Langfuse", + dynamic_params: { + LANGFUSE_PUBLIC_KEY: { + type: "text", + ui_name: "Public Key", + required: true, + }, + LANGFUSE_SECRET_KEY: { + type: "password", + ui_name: "Secret Key", + required: true, + }, + LANGFUSE_HOST: { + type: "text", + ui_name: "Host", + required: false, + }, + }, + }; + + mockGetCallbacksCall.mockResolvedValue({ + callbacks: [mockCallback], + available_callbacks: { + langfuse: { + litellm_callback_name: "langfuse", + litellm_callback_params: ["LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY", "LANGFUSE_HOST"], + ui_callback_name: "Langfuse", + }, + }, + alerts: [], + }); + + mockGetCallbackConfigsCall.mockResolvedValue([mockCallbackConfig]); + + const { getByText, container } = render(); + + await waitFor(() => { + expect(getByText("Active Logging Callbacks")).toBeInTheDocument(); + }); + + await waitFor(() => { + expect(getByText("Langfuse")).toBeInTheDocument(); + }); + + const actionsCell = container.querySelector('[class*="flex justify-end gap-2"]'); + expect(actionsCell).toBeTruthy(); + + const icons = actionsCell?.querySelectorAll("svg"); + expect(icons?.length).toBeGreaterThanOrEqual(2); + + const editIconParent = icons?.[1]?.closest('[class*="cursor-pointer"]'); + expect(editIconParent).toBeTruthy(); + + act(() => { + fireEvent.click(editIconParent!); + }); + + await waitFor(() => { + expect(getByText("Edit Callback Settings")).toBeInTheDocument(); + }); + + await waitFor(() => { + expect(getByText("Public Key")).toBeInTheDocument(); + expect(getByText("Secret Key")).toBeInTheDocument(); + expect(getByText("Host")).toBeInTheDocument(); + }); + }); }); diff --git a/ui/litellm-dashboard/src/components/settings.tsx b/ui/litellm-dashboard/src/components/settings.tsx index 3f06f08de6f..f8a7bafce51 100644 --- a/ui/litellm-dashboard/src/components/settings.tsx +++ b/ui/litellm-dashboard/src/components/settings.tsx @@ -53,6 +53,164 @@ interface genericCallbackParams { const assetsLogoFolder = "../ui/assets/logos/"; +interface DynamicParamsFieldsProps { + params: string[]; + callbackConfigs: any[]; + selectedCallback: string | null; +} + +const DynamicParamsFields: React.FC = ({ params, callbackConfigs, selectedCallback }) => { + if (!params || params.length === 0) { + return null; + } + + return ( +
+ {params.map((param) => { + const callbackConfig = callbackConfigs.find((config) => config.id === selectedCallback); + const paramConfig = callbackConfig?.dynamic_params?.[param] || {}; + const paramType = paramConfig.type || "text"; + const fieldLabel = paramConfig.ui_name || param.replace(/_/g, " ").replace(/\b\w/g, (l) => l.toUpperCase()); + const isRequired = paramConfig.required || false; + + return ( + {fieldLabel} } + name={param} + key={param} + className="mb-4" + rules={ + isRequired + ? [ + { + required: true, + message: `Please enter the ${fieldLabel.toLowerCase()}`, + }, + ] + : undefined + } + > + {paramType === "password" ? ( + + ) : paramType === "number" ? ( + + ) : ( + + )} + + ); + })} +
+ ); +}; + +// Shared component for rendering callback selector +interface CallbackSelectorProps { + callbackConfigs: any[]; + selectedCallback: string | null; + onCallbackChange: (value: string) => void; + disabled?: boolean; +} + +const CallbackSelector: React.FC = ({ + callbackConfigs, + selectedCallback, + onCallbackChange, + disabled = false, +}) => { + return ( + + + + ); +}; + +// Shared helper function to get dynamic params for a callback +const getDynamicParamsForCallback = ( + callbackName: string | null, + callbackConfigs: any[], + fallbackVariables?: Record, +): string[] => { + if (!callbackName) { + return fallbackVariables ? Object.keys(fallbackVariables) : []; + } + + const callbackConfig = callbackConfigs.find((config) => config.id === callbackName); + if (callbackConfig?.dynamic_params) { + return Object.keys(callbackConfig.dynamic_params); + } + + return fallbackVariables ? Object.keys(fallbackVariables) : []; +}; + +// Shared helper function to build callback payload +const buildCallbackPayload = (formValues: Record, callbackName: string) => { + return { + environment_variables: formValues, + litellm_settings: { + success_callback: [callbackName], + }, + }; +}; + const Settings: React.FC = ({ accessToken, userRole, userID, premiumUser }) => { const [callbacks, setCallbacks] = useState([]); const [alerts, setAlerts] = useState([]); @@ -83,6 +241,8 @@ const Settings: React.FC = ({ accessToken, userRole, userID, const [selectedEditCallback, setSelectedEditCallback] = useState(null); const [showDeleteConfirmModal, setShowDeleteConfirmModal] = useState(false); const [callbackToDelete, setCallbackToDelete] = useState(null); + const [isUpdatingCallback, setIsUpdatingCallback] = useState(false); + const [isAddingCallback, setIsAddingCallback] = useState(false); useEffect(() => { if (!accessToken) { @@ -102,7 +262,10 @@ const Settings: React.FC = ({ accessToken, userRole, userID, const normalized = Object.fromEntries( Object.entries(selectedEditCallback.variables || {}).map(([k, v]) => [k, v ?? ""]), ); - editForm.setFieldsValue(normalized); + editForm.setFieldsValue({ + ...normalized, + callback: selectedEditCallback.name, + }); } }, [showEditCallback, selectedEditCallback, editForm]); @@ -154,31 +317,36 @@ const Settings: React.FC = ({ accessToken, userRole, userID, return activeAlerts && activeAlerts.includes(alertName); }; - const updateCallbackCall = async (formValues: Record) => { - if (!accessToken || !selectedEditCallback) { + // Shared handler for callback form submission + const handleCallbackSubmit = async (formValues: Record, callbackName: string, isEdit: boolean) => { + if (!accessToken) { return; } - let env_vars: Record = {}; - // add all other variables - Object.entries(formValues).forEach(([key, value]) => { - if (key !== "callback") { - env_vars[key] = value; - } - }); - let payload = { - environment_variables: formValues, - litellm_settings: { - success_callback: [selectedEditCallback.name], - }, - }; + if (isEdit) { + setIsUpdatingCallback(true); + } else { + setIsAddingCallback(true); + } + + const payload = buildCallbackPayload(formValues, callbackName); try { await setCallbacksCall(accessToken, payload); - NotificationsManager.success("Callback updated successfully"); - setShowEditCallback(false); - editForm.resetFields(); - setSelectedEditCallback(null); + NotificationsManager.success( + isEdit ? "Callback updated successfully" : `Callback ${callbackName} added successfully`, + ); + + if (isEdit) { + setShowEditCallback(false); + editForm.resetFields(); + setSelectedEditCallback(null); + } else { + setShowAddCallbacksModal(false); + addForm.resetFields(); + setSelectedCallback(null); + setSelectedCallbackParams([]); + } // Refresh the callbacks list if (userID && userRole) { @@ -187,56 +355,34 @@ const Settings: React.FC = ({ accessToken, userRole, userID, } } catch (error) { NotificationsManager.fromBackend(error); + } finally { + if (isEdit) { + setIsUpdatingCallback(false); + } else { + setIsAddingCallback(false); + } } }; - const addNewCallbackCall = async (formValues: Record) => { - if (!accessToken) { + const updateCallbackCall = async (formValues: Record) => { + if (!selectedEditCallback) { return; } - let new_callback = formValues?.callback; + await handleCallbackSubmit(formValues, selectedEditCallback.name, true); + }; - let env_vars: Record = {}; - // add all other variables - Object.entries(formValues).forEach(([key, value]) => { - if (key !== "callback") { - env_vars[key] = value; - } - }); - - let payload = { - environment_variables: formValues, - litellm_settings: { - success_callback: [new_callback], - }, - }; - - try { - await setCallbacksCall(accessToken, payload); - NotificationsManager.success(`Callback ${new_callback} added successfully`); - setShowAddCallbacksModal(false); - addForm.resetFields(); - setSelectedCallback(null); - setSelectedCallbackParams([]); - - // Refresh the callbacks list - const updatedData = await getCallbacksCall(accessToken, userID || "", userRole || ""); - setCallbacks(updatedData.callbacks); - } catch (error) { - NotificationsManager.fromBackend(error); + const addNewCallbackCall = async (formValues: Record) => { + const new_callback = formValues?.callback; + if (!new_callback) { + return; } + await handleCallbackSubmit(formValues, new_callback, false); }; const handleSelectedCallbackChange = (callbackName: string) => { setSelectedCallback(callbackName); - - const callbackConfig = callbackConfigs.find((config) => config.id === callbackName); - - if (callbackConfig?.dynamic_params) { - setSelectedCallbackParams(Object.keys(callbackConfig.dynamic_params)); - } else { - setSelectedCallbackParams([]); - } + const params = getDynamicParamsForCallback(callbackName, callbackConfigs); + setSelectedCallbackParams(params); }; const handleSaveAlerts = async () => { @@ -564,103 +710,17 @@ const Settings: React.FC = ({ accessToken, userRole, userID, wrapperCol={{ span: 16 }} labelAlign="left" > - - - - - {selectedCallbackParams && selectedCallbackParams.length > 0 && ( -
- {selectedCallbackParams.map((param) => { - const callbackConfig = callbackConfigs.find((config) => config.id === selectedCallback); - const paramConfig = callbackConfig?.dynamic_params?.[param] || {}; - const paramType = paramConfig.type || "text"; - const fieldLabel = - paramConfig.ui_name || param.replace(/_/g, " ").replace(/\b\w/g, (l) => l.toUpperCase()); - const isRequired = paramConfig.required || false; - - return ( - {fieldLabel} } - name={param} - key={param} - className="mb-4" - rules={ - isRequired - ? [ - { - required: true, - message: `Please enter the ${fieldLabel.toLowerCase()}`, - }, - ] - : undefined - } - > - {paramType === "password" ? ( - - ) : paramType === "number" ? ( - - ) : ( - - )} - - ); - })} -
- )} +
= ({ accessToken, userRole, userID, setSelectedCallbackParams([]); addForm.resetFields(); }} + disabled={isAddingCallback} > Cancel - Add Callback + + {isAddingCallback ? "Adding..." : "Add Callback"} +
{ setShowEditCallback(false); setSelectedEditCallback(null); + editForm.resetFields(); }} footer={null} > @@ -695,35 +759,54 @@ const Settings: React.FC = ({ accessToken, userRole, userID, wrapperCol={{ span: 16 }} labelAlign="left" > - <> - {selectedEditCallback && - selectedEditCallback.variables && - Object.entries(selectedEditCallback.variables).map(([param]) => ( - - - - ))} - + {selectedEditCallback && ( + <> + {}} + disabled={true} + /> -
- Save + + + )} + +
+ { + setShowEditCallback(false); + setSelectedEditCallback(null); + editForm.resetFields(); + }} + disabled={isUpdatingCallback} + > + Cancel + + { + editForm.submit(); + }} + loading={isUpdatingCallback} + disabled={isUpdatingCallback} + > + {isUpdatingCallback ? "Saving..." : "Save Changes"} +
{ setShowDeleteConfirmModal(false); From 149f3084518d4d70d7d19ab6cff2cd356d108f15 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Wed, 19 Nov 2025 10:01:59 +0530 Subject: [PATCH 009/227] make all gpt-5 and reasoning models to responses by default (#16766) --- ...odel_prices_and_context_window_backup.json | 38 +++++++++---------- model_prices_and_context_window.json | 38 +++++++++---------- 2 files changed, 38 insertions(+), 38 deletions(-) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index e77e67bf70d..4fe2a19f604 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -14623,7 +14623,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14660,7 +14660,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14696,7 +14696,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14732,7 +14732,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14835,7 +14835,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14870,7 +14870,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -14902,7 +14902,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -15034,7 +15034,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15073,7 +15073,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15111,7 +15111,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -15146,7 +15146,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -17999,7 +17999,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -18018,7 +18018,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18032,7 +18032,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1.2e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18046,7 +18046,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18060,7 +18060,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18176,7 +18176,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 8e-06, "supported_endpoints": [ "/v1/responses", @@ -18274,7 +18274,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, @@ -18291,7 +18291,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index e77e67bf70d..4fe2a19f604 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -14623,7 +14623,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14660,7 +14660,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14696,7 +14696,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14732,7 +14732,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14835,7 +14835,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14870,7 +14870,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -14902,7 +14902,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -15034,7 +15034,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15073,7 +15073,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15111,7 +15111,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -15146,7 +15146,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -17999,7 +17999,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -18018,7 +18018,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18032,7 +18032,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1.2e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18046,7 +18046,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18060,7 +18060,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18176,7 +18176,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 8e-06, "supported_endpoints": [ "/v1/responses", @@ -18274,7 +18274,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, @@ -18291,7 +18291,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, From b92cc2b2f983ec09649eeb8a777d0c56dcf3b328 Mon Sep 17 00:00:00 2001 From: Alan Ponnachan <85491837+AlanPonnachan@users.noreply.github.com> Date: Wed, 19 Nov 2025 10:07:21 +0530 Subject: [PATCH 010/227] fix(bedrock): Ensure consistent chunk IDs in Bedrock streaming responses (#16596) * ensure consistent chunk IDs in streaming responses * use native conversationId for consistent stream chunk IDs --- litellm/llms/bedrock/chat/invoke_handler.py | 25 ++++++++--- .../llms/bedrock/chat/test_invoke_handler.py | 41 +++++++++++++++++-- 2 files changed, 56 insertions(+), 10 deletions(-) diff --git a/litellm/llms/bedrock/chat/invoke_handler.py b/litellm/llms/bedrock/chat/invoke_handler.py index 53cbafcbe6a..71429e4191f 100644 --- a/litellm/llms/bedrock/chat/invoke_handler.py +++ b/litellm/llms/bedrock/chat/invoke_handler.py @@ -493,9 +493,9 @@ class BedrockLLM(BaseAWSLLM): content=None, ) model_response.choices[0].message = _message # type: ignore - model_response._hidden_params["original_response"] = ( - outputText # allow user to access raw anthropic tool calling response - ) + model_response._hidden_params[ + "original_response" + ] = outputText # allow user to access raw anthropic tool calling response if ( _is_function_call is True and stream is not None @@ -793,9 +793,9 @@ class BedrockLLM(BaseAWSLLM): ): # completion(top_k=3) > anthropic_config(top_k=3) <- allows for dynamic variables to be passed in inference_params[k] = v if stream is True: - inference_params["stream"] = ( - True # cohere requires stream = True in inference params - ) + inference_params[ + "stream" + ] = True # cohere requires stream = True in inference params data = json.dumps({"prompt": prompt, **inference_params}) elif provider == "anthropic": if model.startswith("anthropic.claude-3"): @@ -1184,6 +1184,7 @@ class AWSEventStreamDecoder: self.parser = EventStreamJSONParser() self.content_blocks: List[ContentBlockDeltaEvent] = [] self.tool_calls_index: Optional[int] = None + self.response_id: Optional[str] = None def check_empty_tool_call_args(self) -> bool: """ @@ -1247,6 +1248,17 @@ class AWSEventStreamDecoder: def converse_chunk_parser(self, chunk_data: dict) -> ModelResponseStream: try: + # Capture the conversationId from the first messageStart event + # and use it as the consistent ID for all subsequent chunks. + if self.response_id is None: + if "messageStart" in chunk_data: + conversation_id = chunk_data["messageStart"].get("conversationId") + if conversation_id: + self.response_id = f"chatcmpl-{conversation_id}" + else: + # Fallback to generating a UUID if the first chunk is not messageStart + self.response_id = f"chatcmpl-{uuid.uuid4()}" + verbose_logger.debug("\n\nRaw Chunk: {}\n\n".format(chunk_data)) text = "" tool_use: Optional[ChatCompletionToolCallChunk] = None @@ -1378,6 +1390,7 @@ class AWSEventStreamDecoder: ), ) ], + id=self.response_id, usage=usage, provider_specific_fields=model_response_provider_specific_fields, ) diff --git a/tests/test_litellm/llms/bedrock/chat/test_invoke_handler.py b/tests/test_litellm/llms/bedrock/chat/test_invoke_handler.py index 429b1a43896..a415d550215 100644 --- a/tests/test_litellm/llms/bedrock/chat/test_invoke_handler.py +++ b/tests/test_litellm/llms/bedrock/chat/test_invoke_handler.py @@ -1,14 +1,10 @@ -import json import os import sys -import pytest -from fastapi.testclient import TestClient sys.path.insert( 0, os.path.abspath("../../../../..") ) # Adds the parent directory to the system path -from unittest.mock import MagicMock, patch from litellm.llms.bedrock.chat.invoke_handler import AWSEventStreamDecoder @@ -167,3 +163,40 @@ def test_transform_tool_calls_index_with_optional_arg_func(): tool_call_hunk_dict = tool_call_hunk.model_dump() for tool_call in tool_call_hunk_dict["choices"][0]["delta"]["tool_calls"]: assert tool_call["index"] == 0 + + +def test_bedrock_converse_streaming_consistent_id(): + """ + Tests that all chunks in a Bedrock Converse stream response share the same ID, + capturing the ID from the initial 'messageStart' event. + """ + # Simulate a realistic Bedrock Converse stream + native_conversation_id = "a1b2c3d4-e5f6-7890-1234-56789abcdef0" + mock_stream_chunks = [ + { + "messageStart": { + "conversationId": native_conversation_id, + "role": "assistant", + } + }, + {"delta": {"text": "Hello"}, "contentBlockIndex": 0}, + {"delta": {"text": " world!"}, "contentBlockIndex": 0}, + {"stopReason": "stop"}, + ] + + decoder = AWSEventStreamDecoder(model="bedrock/anthropic.claude-3-sonnet-v1:0") + + # Process each chunk and collect the parsed responses + parsed_responses = [] + for chunk in mock_stream_chunks: + parsed_responses.append(decoder.converse_chunk_parser(chunk)) + + # Verify that all parsed responses have the same, non-null ID derived from the native ID + assert len(parsed_responses) > 1, "Should have processed multiple chunks" + + expected_id = f"chatcmpl-{native_conversation_id}" + + for response in parsed_responses: + assert ( + response.id == expected_id + ), "All chunk IDs must match the one captured from the messageStart event" From 08246bf9085034917d6fc76ab414f082b6b13c70 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 19 Nov 2025 08:35:23 -0800 Subject: [PATCH 011/227] fix: fix broken doc link --- docs/my-website/docs/proxy/litellm_managed_files.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/my-website/docs/proxy/litellm_managed_files.md b/docs/my-website/docs/proxy/litellm_managed_files.md index c63b1218892..7aba173f35b 100644 --- a/docs/my-website/docs/proxy/litellm_managed_files.md +++ b/docs/my-website/docs/proxy/litellm_managed_files.md @@ -424,4 +424,4 @@ No, as of `v1.71.2` users can only view/edit/delete files they have created. ## See Also - [Managed Files w/ Finetuning APIs](../../docs/proxy/managed_finetuning) -- [Managed Files w/ Batch APIs](../../docs/proxy/managed_batch) \ No newline at end of file +- [Managed Files w/ Batch APIs](../../docs/proxy/managed_batches) \ No newline at end of file From 5f94b372f87d1dd8e7f981fc98c918c6aef0783a Mon Sep 17 00:00:00 2001 From: tushar8408 <32977767+tushar8408@users.noreply.github.com> Date: Wed, 19 Nov 2025 09:53:21 -0800 Subject: [PATCH 012/227] Migration job labels (#16831) * Add dynamic pod labels and annotations to migrations job * Bump chart version to 0.4.8 --- deploy/charts/litellm-helm/Chart.yaml | 2 +- deploy/charts/litellm-helm/templates/migrations-job.yaml | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/deploy/charts/litellm-helm/Chart.yaml b/deploy/charts/litellm-helm/Chart.yaml index aa81e4efecc..eedadebaa8e 100644 --- a/deploy/charts/litellm-helm/Chart.yaml +++ b/deploy/charts/litellm-helm/Chart.yaml @@ -18,7 +18,7 @@ type: application # This is the chart version. This version number should be incremented each time you make changes # to the chart and its templates, including the app version. # Versions are expected to follow Semantic Versioning (https://semver.org/) -version: 0.4.7 +version: 0.4.8 # This is the version number of the application being deployed. This version number should be # incremented each time you make changes to the application. Versions are not expected to diff --git a/deploy/charts/litellm-helm/templates/migrations-job.yaml b/deploy/charts/litellm-helm/templates/migrations-job.yaml index 243a4ba7d48..f8893a47afe 100644 --- a/deploy/charts/litellm-helm/templates/migrations-job.yaml +++ b/deploy/charts/litellm-helm/templates/migrations-job.yaml @@ -22,6 +22,9 @@ spec: metadata: labels: {{- include "litellm.labels" . | nindent 8 }} + {{- with .Values.podLabels }} + {{- toYaml . | nindent 8 }} + {{- end }} annotations: {{- with .Values.migrationJob.annotations }} {{- toYaml . | nindent 8 }} From 1f8fe007a1a08509620f382aec6af7710d48fb78 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 19 Nov 2025 10:20:58 -0800 Subject: [PATCH 013/227] [Feat] Prompt Management - Allow specifying just prompt_id in a request to a model (#16834) * test_dotprompt_auto_detection_with_model_only * fix _auto_detect_prompt_management_logger * test_dotprompt_auto_detection_with_model_only --- litellm/litellm_core_utils/litellm_logging.py | 74 +++++++++++++++++- .../dotprompt/test_prompt_manager.py | 76 +++++++++++++++++++ 2 files changed, 146 insertions(+), 4 deletions(-) diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py index 6bad7ee29e2..e5c52ce48ae 100644 --- a/litellm/litellm_core_utils/litellm_logging.py +++ b/litellm/litellm_core_utils/litellm_logging.py @@ -585,7 +585,10 @@ class Logging(LiteLLMLoggingBaseClass): custom_logger = ( prompt_management_logger or self.get_custom_logger_for_prompt_management( - model=model, non_default_params=non_default_params + model=model, + non_default_params=non_default_params, + prompt_id=prompt_id, + dynamic_callback_params=self.standard_callback_dynamic_params, ) ) @@ -622,7 +625,11 @@ class Logging(LiteLLMLoggingBaseClass): custom_logger = ( prompt_management_logger or self.get_custom_logger_for_prompt_management( - model=model, tools=tools, non_default_params=non_default_params + model=model, + tools=tools, + non_default_params=non_default_params, + prompt_id=prompt_id, + dynamic_callback_params=self.standard_callback_dynamic_params, ) ) @@ -646,19 +653,69 @@ class Logging(LiteLLMLoggingBaseClass): self.messages = messages return model, messages, non_default_params + def _auto_detect_prompt_management_logger( + self, + prompt_id: str, + dynamic_callback_params: StandardCallbackDynamicParams, + ) -> Optional[CustomLogger]: + """ + Auto-detect which prompt management system owns the given prompt_id. + + This allows a user to just pass prompt_id in the completion call and it will be auto-detected which system owns this prompt. + + Args: + prompt_id: The prompt ID to check + dynamic_callback_params: Dynamic callback parameters for should_run_prompt_management checks + + Returns: + A CustomLogger instance if a matching prompt management system is found, None otherwise + """ + prompt_management_loggers = ( + litellm.logging_callback_manager.get_custom_loggers_for_type( + callback_type=CustomPromptManagement + ) + ) + + for logger in prompt_management_loggers: + if isinstance(logger, CustomPromptManagement): + try: + if logger.should_run_prompt_management( + prompt_id=prompt_id, + dynamic_callback_params=dynamic_callback_params, + ): + self.model_call_details["prompt_integration"] = ( + logger.__class__.__name__ + ) + return logger + except Exception: + # If check fails, continue to next logger + continue + + return None + def get_custom_logger_for_prompt_management( - self, model: str, non_default_params: Dict, tools: Optional[List[Dict]] = None + self, + model: str, + non_default_params: Dict, + tools: Optional[List[Dict]] = None, + prompt_id: Optional[str] = None, + dynamic_callback_params: Optional[StandardCallbackDynamicParams] = None, ) -> Optional[CustomLogger]: """ Get a custom logger for prompt management based on model name or available callbacks. Args: model: The model name to check for prompt management integration + non_default_params: Non-default parameters passed to the completion call + tools: Optional tools passed to the completion call + prompt_id: Optional prompt ID to auto-detect which system owns this prompt + dynamic_callback_params: Dynamic callback parameters for should_run_prompt_management checks Returns: A CustomLogger instance if one is found, None otherwise """ # First check if model starts with a known custom logger compatible callback + # This takes precedence for backward compatibility for callback_name in litellm._known_custom_logger_compatible_callbacks: if model.startswith(callback_name): custom_logger = _init_custom_logger_compatible_class( @@ -670,7 +727,16 @@ class Logging(LiteLLMLoggingBaseClass): self.model_call_details["prompt_integration"] = model.split("/")[0] return custom_logger - # Then check for any registered CustomPromptManagement loggers + # If prompt_id is provided, try to auto-detect which system has this prompt + if prompt_id and dynamic_callback_params is not None: + auto_detected_logger = self._auto_detect_prompt_management_logger( + prompt_id=prompt_id, + dynamic_callback_params=dynamic_callback_params, + ) + if auto_detected_logger is not None: + return auto_detected_logger + + # Then check for any registered CustomPromptManagement loggers (fallback) prompt_management_loggers = ( litellm.logging_callback_manager.get_custom_loggers_for_type( callback_type=CustomPromptManagement diff --git a/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py b/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py index c19503641e1..77e3e0d4a45 100644 --- a/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py +++ b/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py @@ -521,3 +521,79 @@ def test_prompt_main(): """ # TODO: Implement once PromptManager is integrated with litellm completion pass + + +@pytest.mark.asyncio +async def test_dotprompt_auto_detection_with_model_only(): + """ + Test that dotprompt prompts can be auto-detected when passing model="gpt-4" and prompt_id, + without needing to specify model="dotprompt/gpt-4". + """ + from litellm.integrations.dotprompt import DotpromptManager + + prompt_dir = Path(__file__).parent + dotprompt_manager = DotpromptManager(prompt_directory=str(prompt_dir)) + + # Register the dotprompt manager in callbacks + original_callbacks = litellm.callbacks.copy() + litellm.callbacks = [dotprompt_manager] + + try: + # Mock the HTTP handler to avoid actual API calls + with patch("litellm.llms.custom_httpx.llm_http_handler.AsyncHTTPHandler.post") as mock_post: + mock_response_data = litellm.ModelResponse( + choices=[ + litellm.Choices( + message=litellm.Message(content="Hello!"), + index=0, + finish_reason="stop", + ) + ] + ).model_dump() + + # Create a proper mock response + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = json.dumps(mock_response_data) + mock_response.headers = {"Content-Type": "application/json"} + mock_response.json.return_value = mock_response_data + + mock_post.return_value = mock_response + + # Call with model="gpt-4" (no "dotprompt/" prefix) and prompt_id + await litellm.acompletion( + model="gpt-4", + prompt_id="chat_prompt", + prompt_variables={"user_message": "Hello world"}, + messages=[{"role": "user", "content": "This will be ignored"}], + ) + + mock_post.assert_called_once() + + # Get request body from the call (it's passed as 'data' parameter as JSON string) + data_str = mock_post.call_args.kwargs.get("data", "{}") + request_body = json.loads(data_str) + + print(f"Request body: {json.dumps(request_body, indent=2)}") + + # Verify the prompt was auto-detected and used + # The chat_prompt.prompt has metadata: model: gpt-4, temperature: 0.7, max_tokens: 150 + assert request_body["model"] == "gpt-4" + + # Note: OpenAI API might strip out temperature/max_tokens if they're not in the request + # The key test is that the messages were transformed + + # Verify the messages were transformed using the prompt template + # chat_prompt template: "User: {{user_message}}" + messages = request_body["messages"] + assert len(messages) >= 1 + + # The first message should be from the prompt template with the variable substituted + # Template is: "User: {{user_message}}" with user_message="Hello world" + first_message_content = messages[0]["content"] + print(f"First message content: {first_message_content}") + assert "Hello world" in first_message_content + + finally: + # Restore original callbacks + litellm.callbacks = original_callbacks From 3ebe4890826f063ecfbb29a8897016d37edea6f7 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 19 Nov 2025 13:16:03 -0800 Subject: [PATCH 014/227] [Feat] Prompt Management - Add support for versioning prompts (#16836) * test_dotprompt_auto_detection_with_model_only * fix _auto_detect_prompt_management_logger * test_dotprompt_with_prompt_version * add v1, v2 tests * add _compile_prompt_helper * fix _compile_prompt_helper * test_dotprompt_with_prompt_version * test_dotprompt_with_prompt_version, test_get_prompt_with_version --- .../dotprompt/dotprompt_manager.py | 21 ++- .../integrations/dotprompt/prompt_manager.py | 37 ++++- .../dotprompt/chat_prompt.v1.prompt | 10 ++ .../dotprompt/chat_prompt.v2.prompt | 10 ++ .../dotprompt/test_prompt_manager.py | 143 ++++++++++++++++++ 5 files changed, 209 insertions(+), 12 deletions(-) create mode 100644 tests/test_litellm/integrations/dotprompt/chat_prompt.v1.prompt create mode 100644 tests/test_litellm/integrations/dotprompt/chat_prompt.v2.prompt diff --git a/litellm/integrations/dotprompt/dotprompt_manager.py b/litellm/integrations/dotprompt/dotprompt_manager.py index 0f0d7b938f3..7aaa6cc9628 100644 --- a/litellm/integrations/dotprompt/dotprompt_manager.py +++ b/litellm/integrations/dotprompt/dotprompt_manager.py @@ -108,7 +108,7 @@ class DotpromptManager(CustomPromptManagement): Compile a .prompt file into a PromptManagementClient structure. This method: - 1. Loads the prompt template from the .prompt file + 1. Loads the prompt template from the .prompt file (with optional version) 2. Renders it with the provided variables 3. Converts the rendered text into chat messages 4. Extracts model and optional parameters from metadata @@ -116,13 +116,22 @@ class DotpromptManager(CustomPromptManagement): try: - # Get the prompt template - template = self.prompt_manager.get_prompt(prompt_id) + # Get the prompt template (versioned or base) + template = self.prompt_manager.get_prompt( + prompt_id=prompt_id, version=prompt_version + ) if template is None: - raise ValueError(f"Prompt '{prompt_id}' not found in prompt directory") + version_str = f" (version {prompt_version})" if prompt_version else "" + raise ValueError( + f"Prompt '{prompt_id}'{version_str} not found in prompt directory" + ) - # Render the template with variables - rendered_content = self.prompt_manager.render(prompt_id, prompt_variables) + # Render the template with variables (pass version for proper lookup) + rendered_content = self.prompt_manager.render( + prompt_id=prompt_id, + prompt_variables=prompt_variables, + version=prompt_version, + ) # Convert rendered content to chat messages messages = self._convert_to_messages(rendered_content) diff --git a/litellm/integrations/dotprompt/prompt_manager.py b/litellm/integrations/dotprompt/prompt_manager.py index 9623ddab5fb..fc5a325ffe1 100644 --- a/litellm/integrations/dotprompt/prompt_manager.py +++ b/litellm/integrations/dotprompt/prompt_manager.py @@ -183,7 +183,10 @@ class PromptManager: return frontmatter, template_content def render( - self, prompt_id: str, prompt_variables: Optional[Dict[str, Any]] = None + self, + prompt_id: str, + prompt_variables: Optional[Dict[str, Any]] = None, + version: Optional[int] = None, ) -> str: """ Render a prompt template with the given variables. @@ -191,6 +194,7 @@ class PromptManager: Args: prompt_id: The ID of the prompt template to render prompt_variables: Variables to substitute in the template + version: Optional version number. If provided, looks for {prompt_id}.v{version} Returns: The rendered prompt string @@ -199,13 +203,16 @@ class PromptManager: KeyError: If prompt_id is not found ValueError: If template rendering fails """ - if prompt_id not in self.prompts: + # Get the template (versioned or base) + template = self.get_prompt(prompt_id=prompt_id, version=version) + + if template is None: available_prompts = list(self.prompts.keys()) + version_str = f" (version {version})" if version else "" raise KeyError( - f"Prompt '{prompt_id}' not found. Available prompts: {available_prompts}" + f"Prompt '{prompt_id}'{version_str} not found. Available prompts: {available_prompts}" ) - template = self.prompts[prompt_id] variables = prompt_variables or {} # Validate input variables against schema if defined @@ -254,8 +261,26 @@ class PromptManager: return type_mapping.get(schema_type.lower(), str) # type: ignore - def get_prompt(self, prompt_id: str) -> Optional[PromptTemplate]: - """Get a prompt template by ID.""" + def get_prompt( + self, prompt_id: str, version: Optional[int] = None + ) -> Optional[PromptTemplate]: + """ + Get a prompt template by ID and optional version. + + Args: + prompt_id: The base prompt ID + version: Optional version number. If provided, looks for {prompt_id}.v{version} + + Returns: + The prompt template if found, None otherwise + """ + if version is not None: + # Try versioned prompt first: prompt_id.v{version} + versioned_id = f"{prompt_id}.v{version}" + if versioned_id in self.prompts: + return self.prompts[versioned_id] + + # Fall back to base prompt_id return self.prompts.get(prompt_id) def list_prompts(self) -> List[str]: diff --git a/tests/test_litellm/integrations/dotprompt/chat_prompt.v1.prompt b/tests/test_litellm/integrations/dotprompt/chat_prompt.v1.prompt new file mode 100644 index 00000000000..29fc6fcb124 --- /dev/null +++ b/tests/test_litellm/integrations/dotprompt/chat_prompt.v1.prompt @@ -0,0 +1,10 @@ +--- +model: gpt-3.5-turbo +temperature: 0.5 +max_tokens: 100 +input: + schema: + user_message: string +--- + +Version 1: {{user_message}} diff --git a/tests/test_litellm/integrations/dotprompt/chat_prompt.v2.prompt b/tests/test_litellm/integrations/dotprompt/chat_prompt.v2.prompt new file mode 100644 index 00000000000..dfd3d2955e6 --- /dev/null +++ b/tests/test_litellm/integrations/dotprompt/chat_prompt.v2.prompt @@ -0,0 +1,10 @@ +--- +model: gpt-4 +temperature: 0.9 +max_tokens: 200 +input: + schema: + user_message: string +--- + +Version 2: {{user_message}} diff --git a/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py b/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py index 77e3e0d4a45..9d7e2b3d382 100644 --- a/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py +++ b/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py @@ -195,6 +195,29 @@ def test_get_prompt_metadata(): assert "output" in metadata +def test_get_prompt_with_version(): + """Test that get_prompt correctly retrieves versioned prompts.""" + prompt_dir = Path(__file__).parent + manager = PromptManager(prompt_directory=str(prompt_dir)) + + # Get base prompt (no version) + base_prompt = manager.get_prompt(prompt_id="chat_prompt") + assert base_prompt is not None + assert "User: {{user_message}}" in base_prompt.content + + # Get version 1 + v1_prompt = manager.get_prompt(prompt_id="chat_prompt", version=1) + assert v1_prompt is not None + assert "Version 1:" in v1_prompt.content + assert v1_prompt.model == "gpt-3.5-turbo" + + # Get version 2 + v2_prompt = manager.get_prompt(prompt_id="chat_prompt", version=2) + assert v2_prompt is not None + assert "Version 2:" in v2_prompt.content + assert v2_prompt.model == "gpt-4" + + def test_add_prompt_programmatically(): """Test adding prompts programmatically.""" prompt_dir = Path( @@ -597,3 +620,123 @@ async def test_dotprompt_auto_detection_with_model_only(): finally: # Restore original callbacks litellm.callbacks = original_callbacks + + +@pytest.mark.asyncio +async def test_dotprompt_with_prompt_version(): + """ + Test that dotprompt can load and use specific prompt versions. + Versions are stored as separate files with .v{version}.prompt naming convention. + """ + from litellm.integrations.dotprompt import DotpromptManager + from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler + + prompt_dir = Path(__file__).parent + dotprompt_manager = DotpromptManager(prompt_directory=str(prompt_dir)) + + # Register the dotprompt manager in callbacks + original_callbacks = litellm.callbacks.copy() + litellm.callbacks = [dotprompt_manager] + + try: + # Mock the HTTP handler to avoid actual API calls + with patch("litellm.llms.custom_httpx.llm_http_handler.AsyncHTTPHandler.post") as mock_post: + mock_response_data = litellm.ModelResponse( + choices=[ + litellm.Choices( + message=litellm.Message(content="Hello!"), + index=0, + finish_reason="stop", + ) + ] + ).model_dump() + + # Create a proper mock response + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = json.dumps(mock_response_data) + mock_response.headers = {"Content-Type": "application/json"} + mock_response.json.return_value = mock_response_data + + mock_post.return_value = mock_response + + # Test version 1 + await litellm.acompletion( + model="gpt-3.5-turbo", + prompt_id="chat_prompt", + prompt_version=1, + prompt_variables={"user_message": "Test v1"}, + messages=[], + ) + + assert mock_post.call_count >= 1 + data_str = mock_post.call_args.kwargs.get("data", "{}") + request_body = json.loads(data_str) + + print(f"Version 1 request body: {json.dumps(request_body, indent=2)}") + + # Verify version 1 prompt was used + # chat_prompt.v1.prompt has: model: gpt-3.5-turbo, temperature: 0.5, max_tokens: 100 + assert request_body["model"] == "gpt-3.5-turbo" + + # Verify the message contains "Version 1:" prefix from v1 template + messages = request_body["messages"] + assert len(messages) >= 1 + first_message_content = messages[0]["content"] + print(f"Version 1 message: {first_message_content}") + assert "Version 1:" in first_message_content + assert "Test v1" in first_message_content + + # Reset mock for version 2 test + mock_post.reset_mock() + + # Test version 2 + with patch("litellm.llms.custom_httpx.llm_http_handler.AsyncHTTPHandler.post") as mock_post: + mock_response_data = litellm.ModelResponse( + choices=[ + litellm.Choices( + message=litellm.Message(content="Hello!"), + index=0, + finish_reason="stop", + ) + ] + ).model_dump() + + # Create a proper mock response + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = json.dumps(mock_response_data) + mock_response.headers = {"Content-Type": "application/json"} + mock_response.json.return_value = mock_response_data + + mock_post.return_value = mock_response + + await litellm.acompletion( + model="gpt-4", + prompt_id="chat_prompt", + prompt_version=2, + prompt_variables={"user_message": "Test v2"}, + messages=[], + ) + + mock_post.assert_called_once() + data_str = mock_post.call_args.kwargs.get("data", "{}") + request_body = json.loads(data_str) + + print(f"Version 2 request body: {json.dumps(request_body, indent=2)}") + + # Verify version 2 prompt was used + # chat_prompt.v2.prompt has: model: gpt-4, temperature: 0.9, max_tokens: 200 + assert request_body["model"] == "gpt-4" + + # Verify the message contains "Version 2:" prefix from v2 template + messages = request_body["messages"] + assert len(messages) >= 1 + first_message_content = messages[0]["content"] + print(f"Version 2 message: {first_message_content}") + assert "Version 2:" in first_message_content + assert "Test v2" in first_message_content + + finally: + # Restore original callbacks + litellm.callbacks = original_callbacks From 98dd866b260fbabdb08fb83daf88f011edc75394 Mon Sep 17 00:00:00 2001 From: Naki Date: Thu, 20 Nov 2025 06:17:19 +0900 Subject: [PATCH 015/227] feat(github-copilot): Add Responses API support for gpt-5.1-codex model (#16845) - Implement GithubCopilotResponsesAPIConfig for /responses endpoint - Add support for models requiring responses API (e.g., gpt-5.1-codex) - Auto-detect vision requests and set X-Initiator header - Follow OpenAI Responses API compatibility pattern - Add comprehensive unit tests (16 tests passing) Fixes #16820 --- litellm/__init__.py | 1 + .../responses/transformation.py | 304 ++++++++++++++++++ litellm/utils.py | 2 + ...github_copilot_responses_transformation.py | 303 +++++++++++++++++ 4 files changed, 610 insertions(+) create mode 100644 litellm/llms/github_copilot/responses/transformation.py create mode 100644 tests/test_litellm/llms/github_copilot/responses/test_github_copilot_responses_transformation.py diff --git a/litellm/__init__.py b/litellm/__init__.py index c86768490f3..2624565c2c3 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -1342,6 +1342,7 @@ from .llms.watsonx.completion.transformation import IBMWatsonXAIConfig from .llms.watsonx.chat.transformation import IBMWatsonXChatConfig from .llms.watsonx.embed.transformation import IBMWatsonXEmbeddingConfig from .llms.github_copilot.chat.transformation import GithubCopilotConfig +from .llms.github_copilot.responses.transformation import GithubCopilotResponsesAPIConfig from .llms.nebius.chat.transformation import NebiusConfig from .llms.wandb.chat.transformation import WandbConfig from .llms.dashscope.chat.transformation import DashScopeChatConfig diff --git a/litellm/llms/github_copilot/responses/transformation.py b/litellm/llms/github_copilot/responses/transformation.py new file mode 100644 index 00000000000..a85c37fd9b8 --- /dev/null +++ b/litellm/llms/github_copilot/responses/transformation.py @@ -0,0 +1,304 @@ +""" +GitHub Copilot Responses API Configuration. + +This module provides the configuration for GitHub Copilot's Responses API, +which is required for models like gpt-5.1-codex that only support the /responses endpoint. + +Implementation based on analysis of the copilot-api project by caozhiyuan: +https://github.com/caozhiyuan/copilot-api +""" +from typing import TYPE_CHECKING, Any, Dict, Optional, Union +from uuid import uuid4 + +from litellm._logging import verbose_logger +from litellm.exceptions import AuthenticationError +from litellm.llms.openai.responses.transformation import OpenAIResponsesAPIConfig +from litellm.types.llms.openai import ( + ResponseInputParam, + ResponsesAPIOptionalRequestParams, +) +from litellm.types.router import GenericLiteLLMParams +from litellm.types.utils import LlmProviders + +from ..authenticator import Authenticator +from ..common_utils import GetAPIKeyError + +if TYPE_CHECKING: + from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj + + LiteLLMLoggingObj = _LiteLLMLoggingObj +else: + LiteLLMLoggingObj = Any + +# GitHub Copilot API Constants (from copilot-api) +COPILOT_VERSION = "0.26.7" +EDITOR_PLUGIN_VERSION = f"copilot-chat/{COPILOT_VERSION}" +USER_AGENT = f"GitHubCopilotChat/{COPILOT_VERSION}" +API_VERSION = "2025-04-01" + + +class GithubCopilotResponsesAPIConfig(OpenAIResponsesAPIConfig): + """ + Configuration for GitHub Copilot's Responses API. + + Inherits from OpenAIResponsesAPIConfig since GitHub Copilot's Responses API + is compatible with OpenAI's Responses API specification. + + Key differences from OpenAI: + - Uses OAuth Device Flow authentication (handled by Authenticator) + - Uses api.githubcopilot.com as the API base + - Requires specific headers for VSCode/Copilot integration + - Supports vision requests with special header + - Requires X-Initiator header based on input analysis + + Reference: https://api.githubcopilot.com/ + """ + + GITHUB_COPILOT_API_BASE = "https://api.githubcopilot.com" + + def __init__(self) -> None: + super().__init__() + self.authenticator = Authenticator() + + @property + def custom_llm_provider(self) -> LlmProviders: + """Return the GitHub Copilot provider identifier.""" + return LlmProviders.GITHUB_COPILOT + + def get_supported_openai_params(self, model: str) -> list: + """ + Get supported parameters for GitHub Copilot Responses API. + + GitHub Copilot supports all standard OpenAI Responses API parameters. + """ + return super().get_supported_openai_params(model) + + def map_openai_params( + self, + response_api_optional_params: ResponsesAPIOptionalRequestParams, + model: str, + drop_params: bool, + ) -> Dict: + """ + Map parameters for GitHub Copilot Responses API. + + GitHub Copilot uses the same parameter format as OpenAI, + so no transformation is needed. + """ + return dict(response_api_optional_params) + + def validate_environment( + self, + headers: dict, + model: str, + litellm_params: Optional[GenericLiteLLMParams], + ) -> dict: + """ + Validate environment and set up headers for GitHub Copilot API. + + Uses the Authenticator to obtain GitHub Copilot API key via OAuth Device Flow, + then configures all required headers for the Responses API. + + Headers include: + - Authorization with API key + - Standard GitHub Copilot headers (editor-version, user-agent, etc.) + - X-Initiator based on input analysis + - copilot-vision-request if vision content detected + - User-provided extra_headers (merged with priority) + """ + try: + # Get GitHub Copilot API key via OAuth + api_key = self.authenticator.get_api_key() + + if not api_key: + raise AuthenticationError( + model=model, + llm_provider="github_copilot", + message="GitHub Copilot API key is required. Please authenticate via OAuth Device Flow.", + ) + + # Get default headers (from copilot-api configuration) + default_headers = self._get_default_headers(api_key) + + # Merge with existing headers (user's extra_headers take priority) + merged_headers = {**default_headers, **headers} + + # Analyze input to determine additional headers + input_param = self._get_input_from_params(litellm_params) + + # Add X-Initiator header based on input analysis + if input_param is not None: + initiator = self._get_initiator(input_param) + merged_headers["X-Initiator"] = initiator + verbose_logger.debug( + f"GitHub Copilot Responses API: Set X-Initiator={initiator}" + ) + + # Add vision header if input contains images + if self._has_vision_input(input_param): + merged_headers["copilot-vision-request"] = "true" + verbose_logger.debug( + "GitHub Copilot Responses API: Enabled vision request" + ) + + verbose_logger.debug( + f"GitHub Copilot Responses API: Successfully configured headers for model {model}" + ) + + return merged_headers + + except GetAPIKeyError as e: + raise AuthenticationError( + model=model, + llm_provider="github_copilot", + message=str(e), + ) + + def get_complete_url( + self, + api_base: Optional[str], + litellm_params: dict, + ) -> str: + """ + Get the complete URL for GitHub Copilot Responses API endpoint. + + Returns: https://api.githubcopilot.com/responses + + Note: Currently only supports individual accounts. + Business/enterprise accounts (api.business.githubcopilot.com) can be + added in the future by detecting account type. + """ + # Use provided api_base or fall back to authenticator's base or default + api_base = ( + api_base + or self.authenticator.get_api_base() + or self.GITHUB_COPILOT_API_BASE + ) + + # Remove trailing slashes + api_base = api_base.rstrip("/") + + # Return the responses endpoint + return f"{api_base}/responses" + + # ==================== Helper Methods ==================== + + def _get_default_headers(self, api_key: str) -> Dict[str, str]: + """ + Get default headers for GitHub Copilot Responses API. + + Based on copilot-api's header configuration. + """ + return { + "Authorization": f"Bearer {api_key}", + "content-type": "application/json", + "copilot-integration-id": "vscode-chat", + "editor-version": "vscode/1.95.0", # Fixed version for stability + "editor-plugin-version": EDITOR_PLUGIN_VERSION, + "user-agent": USER_AGENT, + "openai-intent": "conversation-panel", + "x-github-api-version": API_VERSION, + "x-request-id": str(uuid4()), + "x-vscode-user-agent-library-version": "electron-fetch", + } + + def _get_input_from_params( + self, litellm_params: Optional[GenericLiteLLMParams] + ) -> Optional[Union[str, ResponseInputParam]]: + """ + Extract input parameter from litellm_params. + + The input parameter contains the conversation history and is needed + for vision detection and initiator determination. + """ + if litellm_params is None: + return None + + # Try to get input from litellm_params + # This might be in different locations depending on how LiteLLM structures it + if hasattr(litellm_params, "input"): + return litellm_params.input + + # If not found, return None and let the API handle it + return None + + def _get_initiator(self, input_param: Union[str, ResponseInputParam]) -> str: + """ + Determine X-Initiator header value based on input analysis. + + Based on copilot-api's hasAgentInitiator logic: + - Returns "agent" if input contains assistant role or items without role + - Returns "user" otherwise + + Args: + input_param: The input parameter (string or list of input items) + + Returns: + "agent" or "user" + """ + # If input is a string, it's user-initiated + if isinstance(input_param, str): + return "user" + + # If input is a list, analyze items + if isinstance(input_param, list): + for item in input_param: + if not isinstance(item, dict): + continue + + # Check if item has no role (agent-initiated) + if "role" not in item or not item.get("role"): + return "agent" + + # Check if role is assistant (agent-initiated) + role = item.get("role") + if isinstance(role, str) and role.lower() == "assistant": + return "agent" + + # Default to user-initiated + return "user" + + def _has_vision_input(self, input_param: Union[str, ResponseInputParam]) -> bool: + """ + Check if input contains vision content (images). + + Based on copilot-api's hasVisionInput and containsVisionContent logic. + Recursively searches for input_image type in the input structure. + + Args: + input_param: The input parameter to analyze + + Returns: + True if input contains image content, False otherwise + """ + return self._contains_vision_content(input_param) + + def _contains_vision_content(self, value: Any) -> bool: + """ + Recursively check if a value contains vision content. + + Looks for items with type="input_image" in the structure. + """ + if value is None: + return False + + # Check arrays + if isinstance(value, list): + return any(self._contains_vision_content(item) for item in value) + + # Only check dict/object types + if not isinstance(value, dict): + return False + + # Check if this item is an input_image + item_type = value.get("type") + if isinstance(item_type, str) and item_type.lower() == "input_image": + return True + + # Check content field recursively + if "content" in value and isinstance(value["content"], list): + return any( + self._contains_vision_content(item) for item in value["content"] + ) + + return False diff --git a/litellm/utils.py b/litellm/utils.py index 47fd06a9f27..2e80a0bb5bf 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -7389,6 +7389,8 @@ class ProviderConfigManager: return litellm.AzureOpenAIResponsesAPIConfig() elif litellm.LlmProviders.XAI == provider: return litellm.XAIResponsesAPIConfig() + elif litellm.LlmProviders.GITHUB_COPILOT == provider: + return litellm.GithubCopilotResponsesAPIConfig() elif litellm.LlmProviders.LITELLM_PROXY == provider: return litellm.LiteLLMProxyResponsesAPIConfig() return None diff --git a/tests/test_litellm/llms/github_copilot/responses/test_github_copilot_responses_transformation.py b/tests/test_litellm/llms/github_copilot/responses/test_github_copilot_responses_transformation.py new file mode 100644 index 00000000000..d6032c61c60 --- /dev/null +++ b/tests/test_litellm/llms/github_copilot/responses/test_github_copilot_responses_transformation.py @@ -0,0 +1,303 @@ +""" +Tests for GitHub Copilot Responses API transformation + +Tests the GithubCopilotResponsesAPIConfig class that handles GitHub Copilot-specific +transformations for the Responses API. + +Source: litellm/llms/github_copilot/responses/transformation.py +""" +import sys +import os +from unittest.mock import patch, MagicMock + +sys.path.insert(0, os.path.abspath("../../../../..")) + +import pytest +from litellm.types.utils import LlmProviders +from litellm.utils import ProviderConfigManager +from litellm.llms.github_copilot.responses.transformation import ( + GithubCopilotResponsesAPIConfig, +) +from litellm.types.llms.openai import ResponsesAPIOptionalRequestParams + + +class TestGithubCopilotResponsesAPITransformation: + """Test GitHub Copilot Responses API configuration and transformations""" + + def test_github_copilot_provider_config_registration(self): + """Test that GitHub Copilot provider returns GithubCopilotResponsesAPIConfig""" + config = ProviderConfigManager.get_provider_responses_api_config( + model="github_copilot/gpt-5.1-codex", + provider=LlmProviders.GITHUB_COPILOT, + ) + + assert ( + config is not None + ), "Config should not be None for GitHub Copilot provider" + assert isinstance( + config, GithubCopilotResponsesAPIConfig + ), f"Expected GithubCopilotResponsesAPIConfig, got {type(config)}" + assert ( + config.custom_llm_provider == LlmProviders.GITHUB_COPILOT + ), "custom_llm_provider should be GITHUB_COPILOT" + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_github_copilot_responses_endpoint_url(self, mock_authenticator_class): + """Test that get_complete_url returns correct GitHub Copilot endpoint""" + # Mock authenticator to return default base + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_base.return_value = ( + "https://api.individual.githubcopilot.com" + ) + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + # Test with default GitHub Copilot API base (from authenticator) + url = config.get_complete_url(api_base=None, litellm_params={}) + assert url == "https://api.individual.githubcopilot.com/responses", ( + f"Expected GitHub Copilot responses endpoint, got {url}" + ) + + # Test with custom api_base (overrides authenticator) + custom_url = config.get_complete_url( + api_base="https://custom.githubcopilot.com", litellm_params={} + ) + assert custom_url == "https://custom.githubcopilot.com/responses", ( + f"Expected custom endpoint, got {custom_url}" + ) + + # Test with trailing slash + url_with_slash = config.get_complete_url( + api_base="https://api.githubcopilot.com/", litellm_params={} + ) + assert url_with_slash == "https://api.githubcopilot.com/responses", ( + "Should handle trailing slash" + ) + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_validate_environment_default_headers(self, mock_authenticator_class): + """Test that validate_environment generates correct default headers""" + # Mock the authenticator + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_key.return_value = "test-api-key-123" + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + headers = config.validate_environment( + headers={}, model="gpt-5.1-codex", litellm_params={} + ) + + # Check required headers + assert headers["Authorization"] == "Bearer test-api-key-123" + assert headers["content-type"] == "application/json" + assert headers["copilot-integration-id"] == "vscode-chat" + assert headers["editor-version"] == "vscode/1.95.0" + assert headers["editor-plugin-version"] == "copilot-chat/0.26.7" + assert headers["user-agent"] == "GitHubCopilotChat/0.26.7" + assert headers["openai-intent"] == "conversation-panel" + assert headers["x-github-api-version"] == "2025-04-01" + assert "x-request-id" in headers + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_validate_environment_user_headers_override(self, mock_authenticator_class): + """Test that user-provided headers override default headers""" + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_key.return_value = "test-api-key-123" + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + custom_headers = { + "editor-version": "custom/2.0.0", + "custom-header": "custom-value", + } + + headers = config.validate_environment( + headers=custom_headers, model="gpt-5.1-codex", litellm_params={} + ) + + # User header should override default + assert headers["editor-version"] == "custom/2.0.0" + # Custom header should be preserved + assert headers["custom-header"] == "custom-value" + # Default headers should still be present + assert headers["Authorization"] == "Bearer test-api-key-123" + + def test_get_initiator_with_assistant_role(self): + """Test _get_initiator returns 'agent' for assistant role""" + config = GithubCopilotResponsesAPIConfig() + + input_with_assistant = [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi there"}, + ] + + initiator = config._get_initiator(input_with_assistant) + assert initiator == "agent", "Should return 'agent' for assistant role" + + def test_get_initiator_with_no_role(self): + """Test _get_initiator returns 'agent' for items without role""" + config = GithubCopilotResponsesAPIConfig() + + input_without_role = [ + {"role": "user", "content": "Hello"}, + {"type": "reasoning", "content": "thinking..."}, # No role field + ] + + initiator = config._get_initiator(input_without_role) + assert initiator == "agent", "Should return 'agent' for items without role" + + def test_get_initiator_with_user_only(self): + """Test _get_initiator returns 'user' for user-only messages""" + config = GithubCopilotResponsesAPIConfig() + + input_user_only = [{"role": "user", "content": "Hello"}] + + initiator = config._get_initiator(input_user_only) + assert initiator == "user", "Should return 'user' for user-only messages" + + def test_get_initiator_with_string_input(self): + """Test _get_initiator returns 'user' for string input""" + config = GithubCopilotResponsesAPIConfig() + + initiator = config._get_initiator("Hello, how are you?") + assert initiator == "user", "Should return 'user' for string input" + + def test_has_vision_input_with_input_image(self): + """Test _has_vision_input detects input_image type""" + config = GithubCopilotResponsesAPIConfig() + + input_with_vision = [ + {"role": "user", "content": [{"type": "input_image", "data": "base64..."}]} + ] + + has_vision = config._has_vision_input(input_with_vision) + assert has_vision is True, "Should detect input_image type" + + def test_has_vision_input_nested(self): + """Test _has_vision_input detects nested input_image""" + config = GithubCopilotResponsesAPIConfig() + + input_nested_vision = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "What's in this image?"}, + { + "type": "multipart", + "content": [{"type": "input_image", "data": "base64..."}], + }, + ], + } + ] + + has_vision = config._has_vision_input(input_nested_vision) + assert has_vision is True, "Should detect nested input_image" + + def test_has_vision_input_without_vision(self): + """Test _has_vision_input returns False for text-only input""" + config = GithubCopilotResponsesAPIConfig() + + input_text_only = [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi"}, + ] + + has_vision = config._has_vision_input(input_text_only) + assert has_vision is False, "Should return False for text-only input" + + def test_has_vision_input_with_string(self): + """Test _has_vision_input returns False for string input""" + config = GithubCopilotResponsesAPIConfig() + + has_vision = config._has_vision_input("Just a text message") + assert has_vision is False, "Should return False for string input" + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_validate_environment_with_vision_header(self, mock_authenticator_class): + """Test that copilot-vision-request header is added for vision input""" + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_key.return_value = "test-api-key" + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + # Create mock litellm_params with input attribute + mock_litellm_params = MagicMock() + mock_litellm_params.input = [ + { + "role": "user", + "content": [{"type": "input_image", "data": "base64..."}], + } + ] + + headers = config.validate_environment( + headers={}, model="gpt-5.1-codex", litellm_params=mock_litellm_params + ) + + assert headers.get("copilot-vision-request") == "true", ( + "Should add copilot-vision-request header for vision input" + ) + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_validate_environment_with_x_initiator(self, mock_authenticator_class): + """Test that X-Initiator header is set based on input""" + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_key.return_value = "test-api-key" + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + # Create mock litellm_params with input attribute + mock_litellm_params = MagicMock() + mock_litellm_params.input = [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi"}, + ] + + headers = config.validate_environment( + headers={}, model="gpt-5.1-codex", litellm_params=mock_litellm_params + ) + + assert headers.get("X-Initiator") == "agent", ( + "Should set X-Initiator to 'agent' for assistant role" + ) + + def test_map_openai_params_no_transformation(self): + """Test that map_openai_params passes through parameters unchanged""" + config = GithubCopilotResponsesAPIConfig() + + params = ResponsesAPIOptionalRequestParams( + temperature=0.7, max_output_tokens=1000, stream=False + ) + + result = config.map_openai_params( + response_api_optional_params=params, model="gpt-5.1-codex", drop_params=False + ) + + assert result.get("temperature") == 0.7 + assert result.get("max_output_tokens") == 1000 + assert result.get("stream") is False + + def test_get_supported_openai_params(self): + """Test that get_supported_openai_params returns expected parameters""" + config = GithubCopilotResponsesAPIConfig() + + supported = config.get_supported_openai_params("gpt-5.1-codex") + + # Should include standard OpenAI Responses API parameters + expected_params = [ + "model", + "input", + "instructions", + "temperature", + "max_output_tokens", + "stream", + "tools", + "tool_choice", + ] + + for param in expected_params: + assert param in supported, f"{param} should be in supported params" From c7cf18cf67423d93ab171f7122c5b87f0bcfa5db Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 19 Nov 2025 13:19:56 -0800 Subject: [PATCH 016/227] [Feat] Prompt Management - Allow storing prompt version in DB (#16848) * test_dotprompt_auto_detection_with_model_only * fix _auto_detect_prompt_management_logger * test_dotprompt_with_prompt_version * add v1, v2 tests * add _compile_prompt_helper * fix _compile_prompt_helper * test_dotprompt_with_prompt_version * test_dotprompt_with_prompt_version, test_get_prompt_with_version * add version in schema * feat add _get_prompt_spec_for_db_prompt * add _get_prompt_spec_for_db_prompt * feat add _get_prompt_spec_for_db_prompt * update prompt table * add version in prompt DB * test_get_prompt_spec_for_db_prompt_with_versions --- .../migration.sql | 12 ++ .../litellm_proxy_extras/schema.prisma | 6 +- litellm/proxy/prompts/prompt_endpoints.py | 139 +++++++++++++----- litellm/proxy/proxy_server.py | 32 +++- litellm/proxy/schema.prisma | 6 +- schema.prisma | 6 +- tests/test_litellm/proxy/test_proxy_server.py | 44 ++++++ 7 files changed, 203 insertions(+), 42 deletions(-) create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20251119131227_add_prompt_versioning/migration.sql diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20251119131227_add_prompt_versioning/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20251119131227_add_prompt_versioning/migration.sql new file mode 100644 index 00000000000..a9d9528bd24 --- /dev/null +++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20251119131227_add_prompt_versioning/migration.sql @@ -0,0 +1,12 @@ +-- DropIndex +DROP INDEX "LiteLLM_PromptTable_prompt_id_key"; + +-- AlterTable +ALTER TABLE "LiteLLM_PromptTable" ADD COLUMN "version" INTEGER NOT NULL DEFAULT 1; + +-- CreateIndex +CREATE INDEX "LiteLLM_PromptTable_prompt_id_idx" ON "LiteLLM_PromptTable"("prompt_id"); + +-- CreateIndex +CREATE UNIQUE INDEX "LiteLLM_PromptTable_prompt_id_version_key" ON "LiteLLM_PromptTable"("prompt_id", "version"); + diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma index d6b7cebbd14..6cfbb90c362 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma +++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma @@ -561,11 +561,15 @@ model LiteLLM_GuardrailsTable { // Prompt table for storing prompt configurations model LiteLLM_PromptTable { id String @id @default(uuid()) - prompt_id String @unique + prompt_id String + version Int @default(1) litellm_params Json prompt_info Json? created_at DateTime @default(now()) updated_at DateTime @updatedAt + + @@unique([prompt_id, version]) + @@index([prompt_id]) } model LiteLLM_HealthCheckTable { diff --git a/litellm/proxy/prompts/prompt_endpoints.py b/litellm/proxy/prompts/prompt_endpoints.py index 9ab63895ae7..b4677ed374b 100644 --- a/litellm/proxy/prompts/prompt_endpoints.py +++ b/litellm/proxy/prompts/prompt_endpoints.py @@ -21,10 +21,76 @@ from litellm.types.prompts.init_prompts import ( PromptTemplateBase, ) - router = APIRouter() +async def get_next_version_for_prompt(prisma_client, prompt_id: str) -> int: + """ + Get the next version number for a prompt. + + Args: + prisma_client: Prisma database client + prompt_id: Base prompt ID + + Returns: + Next version number (1 if no versions exist, max_version + 1 otherwise) + """ + existing_prompts = await prisma_client.db.litellm_prompttable.find_many( + where={"prompt_id": prompt_id} + ) + + if existing_prompts: + max_version = max(p.version for p in existing_prompts) + return max_version + 1 + else: + return 1 + + +def create_versioned_prompt_spec(db_prompt) -> PromptSpec: + """ + Helper function to create a PromptSpec with versioned prompt_id from a DB prompt entry. + + Args: + db_prompt: The DB prompt object (from prisma) + + Returns: + PromptSpec with versioned prompt_id (e.g., "chat_prompt.v1") + """ + import json + + from litellm.types.prompts.init_prompts import PromptLiteLLMParams + + prompt_dict = db_prompt.model_dump() + base_prompt_id = prompt_dict["prompt_id"] + version = prompt_dict.get("version", 1) + + # Parse litellm_params + litellm_params_data = prompt_dict.get("litellm_params") + if isinstance(litellm_params_data, str): + litellm_params_data = json.loads(litellm_params_data) + litellm_params = PromptLiteLLMParams(**litellm_params_data) + + # Parse prompt_info + prompt_info_data = prompt_dict.get("prompt_info") + if prompt_info_data: + if isinstance(prompt_info_data, str): + prompt_info_data = json.loads(prompt_info_data) + prompt_info = PromptInfo(**prompt_info_data) + else: + prompt_info = PromptInfo(prompt_type="db") + + # Create versioned prompt_id + versioned_prompt_id = f"{base_prompt_id}.v{version}" + + return PromptSpec( + prompt_id=versioned_prompt_id, + litellm_params=litellm_params, + prompt_info=prompt_info, + created_at=prompt_dict.get("created_at"), + updated_at=prompt_dict.get("updated_at"), + ) + + class Prompt(BaseModel): prompt_id: str litellm_params: PromptLiteLLMParams @@ -261,19 +327,16 @@ async def create_prompt( ) try: - # Create the prompt spec - # Check if prompt exists and get current data - existing_prompt = IN_MEMORY_PROMPT_REGISTRY.get_prompt_by_id(request.prompt_id) - if existing_prompt is not None: - raise HTTPException( - status_code=404, - detail=f"Prompt with ID {request.prompt_id} already exists", - ) + # Get next version number + new_version = await get_next_version_for_prompt( + prisma_client=prisma_client, prompt_id=request.prompt_id + ) - # store prompt in db + # Store prompt in db with version prompt_db_entry = await prisma_client.db.litellm_prompttable.create( data={ "prompt_id": request.prompt_id, + "version": new_version, "litellm_params": request.litellm_params.model_dump_json(), "prompt_info": ( request.prompt_info.model_dump_json() @@ -283,7 +346,8 @@ async def create_prompt( } ) - prompt_spec = PromptSpec(**prompt_db_entry.model_dump()) + # Create versioned prompt spec + prompt_spec = create_versioned_prompt_spec(db_prompt=prompt_db_entry) # Initialize the prompt initialized_prompt = IN_MEMORY_PROMPT_REGISTRY.initialize_prompt( @@ -354,45 +418,50 @@ async def update_prompt( ) try: - # Check if prompt exists - existing_prompt = IN_MEMORY_PROMPT_REGISTRY.get_prompt_by_id(prompt_id) - if existing_prompt is None: + # Check if any version exists + existing_prompts = await prisma_client.db.litellm_prompttable.find_many( + where={"prompt_id": request.prompt_id} + ) + + if not existing_prompts: raise HTTPException( - status_code=404, detail=f"Prompt with ID {prompt_id} not found" + status_code=404, detail=f"Prompt with ID {request.prompt_id} not found" ) - if existing_prompt.prompt_info.prompt_type == "config": + # Check if it's a config prompt + base_prompt_id = request.prompt_id + existing_in_memory = IN_MEMORY_PROMPT_REGISTRY.get_prompt_by_id(base_prompt_id) + if existing_in_memory and existing_in_memory.prompt_info.prompt_type == "config": raise HTTPException( status_code=400, detail="Cannot update config prompts.", ) - # Create updated prompt spec - updated_prompt_spec = PromptSpec( - prompt_id=prompt_id, - litellm_params=request.litellm_params, - prompt_info=request.prompt_info or PromptInfo(prompt_type="db"), - created_at=existing_prompt.created_at, - updated_at=datetime.now(), + # Get next version number (UPDATE creates a new version) + new_version = await get_next_version_for_prompt( + prisma_client=prisma_client, prompt_id=request.prompt_id ) - updated_prompt_db_entry = await prisma_client.db.litellm_prompttable.update( - where={"prompt_id": prompt_id}, + # Store new version in db + prompt_db_entry = await prisma_client.db.litellm_prompttable.create( data={ - "litellm_params": updated_prompt_spec.litellm_params.model_dump_json(), - "prompt_info": updated_prompt_spec.prompt_info.model_dump_json(), - }, + "prompt_id": request.prompt_id, + "version": new_version, + "litellm_params": request.litellm_params.model_dump_json(), + "prompt_info": ( + request.prompt_info.model_dump_json() + if request.prompt_info + else PromptInfo(prompt_type="db").model_dump_json() + ), + } ) - # Remove the old prompt from memory - del IN_MEMORY_PROMPT_REGISTRY.IN_MEMORY_PROMPTS[prompt_id] - if prompt_id in IN_MEMORY_PROMPT_REGISTRY.prompt_id_to_custom_prompt: - del IN_MEMORY_PROMPT_REGISTRY.prompt_id_to_custom_prompt[prompt_id] + # Create versioned prompt spec + prompt_spec = create_versioned_prompt_spec(db_prompt=prompt_db_entry) - # Initialize the updated prompt + # Initialize the new version initialized_prompt = IN_MEMORY_PROMPT_REGISTRY.initialize_prompt( - prompt=PromptSpec(**updated_prompt_db_entry.model_dump()), - config_file_path=None, + prompt=prompt_spec, config_file_path=None ) if initialized_prompt is None: diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 1bc96556136..4040b0aa707 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -273,7 +273,9 @@ from litellm.proxy.management_endpoints.customer_endpoints import ( from litellm.proxy.management_endpoints.internal_user_endpoints import ( router as internal_user_router, ) -from litellm.proxy.management_endpoints.internal_user_endpoints import user_update +from litellm.proxy.management_endpoints.internal_user_endpoints import ( + user_update, +) from litellm.proxy.management_endpoints.key_management_endpoints import ( delete_verification_tokens, duration_in_seconds, @@ -327,7 +329,9 @@ from litellm.proxy.ocr_endpoints.endpoints import router as ocr_router from litellm.proxy.openai_files_endpoints.files_endpoints import ( router as openai_files_router, ) -from litellm.proxy.openai_files_endpoints.files_endpoints import set_files_config +from litellm.proxy.openai_files_endpoints.files_endpoints import ( + set_files_config, +) from litellm.proxy.pass_through_endpoints.llm_passthrough_endpoints import ( passthrough_endpoint_router, ) @@ -417,7 +421,9 @@ from litellm.types.proxy.management_endpoints.ui_sso import ( LiteLLM_UpperboundKeyGenerateParams, ) from litellm.types.realtime import RealtimeQueryParams -from litellm.types.router import DeploymentTypedDict +from litellm.types.router import ( + DeploymentTypedDict, +) from litellm.types.router import ModelInfo as RouterModelInfo from litellm.types.router import ( RouterGeneralSettings, @@ -3576,14 +3582,32 @@ class ProxyConfig: verbose_proxy_logger.exception( f"Error in _check_and_reload_model_cost_map: {str(e)}" ) + def _get_prompt_spec_for_db_prompt(self, db_prompt): + """ + Convert a DB prompt object to a PromptSpec object. + + Handles the versioning of the prompt, if the DB prompt has a version, it will be used to create the versioned prompt_id. + + Args: + db_prompt: The DB prompt object + + Returns: + The PromptSpec object + """ + from litellm.proxy.prompts.prompt_endpoints import create_versioned_prompt_spec + + return create_versioned_prompt_spec(db_prompt=db_prompt) async def _init_prompts_in_db(self, prisma_client: PrismaClient): from litellm.proxy.prompts.prompt_registry import IN_MEMORY_PROMPT_REGISTRY + from litellm.types.prompts.init_prompts import PromptSpec try: prompts_in_db = await prisma_client.db.litellm_prompttable.find_many() for prompt in prompts_in_db: - IN_MEMORY_PROMPT_REGISTRY.initialize_prompt(prompt=prompt) + # Convert DB object to dict and create versioned prompt_id + prompt_spec = self._get_prompt_spec_for_db_prompt(db_prompt=prompt) + IN_MEMORY_PROMPT_REGISTRY.initialize_prompt(prompt=prompt_spec) except Exception as e: verbose_proxy_logger.debug( "litellm.proxy.proxy_server.py::ProxyConfig:_init_prompts_in_db - {}".format( diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma index d6b7cebbd14..6cfbb90c362 100644 --- a/litellm/proxy/schema.prisma +++ b/litellm/proxy/schema.prisma @@ -561,11 +561,15 @@ model LiteLLM_GuardrailsTable { // Prompt table for storing prompt configurations model LiteLLM_PromptTable { id String @id @default(uuid()) - prompt_id String @unique + prompt_id String + version Int @default(1) litellm_params Json prompt_info Json? created_at DateTime @default(now()) updated_at DateTime @updatedAt + + @@unique([prompt_id, version]) + @@index([prompt_id]) } model LiteLLM_HealthCheckTable { diff --git a/schema.prisma b/schema.prisma index d6b7cebbd14..6cfbb90c362 100644 --- a/schema.prisma +++ b/schema.prisma @@ -561,11 +561,15 @@ model LiteLLM_GuardrailsTable { // Prompt table for storing prompt configurations model LiteLLM_PromptTable { id String @id @default(uuid()) - prompt_id String @unique + prompt_id String + version Int @default(1) litellm_params Json prompt_info Json? created_at DateTime @default(now()) updated_at DateTime @updatedAt + + @@unique([prompt_id, version]) + @@index([prompt_id]) } model LiteLLM_HealthCheckTable { diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py index 865dc1b19aa..8e87b67933f 100644 --- a/tests/test_litellm/proxy/test_proxy_server.py +++ b/tests/test_litellm/proxy/test_proxy_server.py @@ -2450,3 +2450,47 @@ async def test_init_sso_settings_in_db_empty_settings(): # Verify empty dictionary assert uppercased_settings == {} + +def test_get_prompt_spec_for_db_prompt_with_versions(): + """ + Test that _get_prompt_spec_for_db_prompt correctly converts database prompts + to PromptSpec with versioned naming convention. + """ + from unittest.mock import MagicMock + + from litellm.proxy.proxy_server import ProxyConfig + + proxy_config = ProxyConfig() + + # Mock database prompt version 1 + mock_prompt_v1 = MagicMock() + mock_prompt_v1.model_dump.return_value = { + "id": "uuid-1", + "prompt_id": "chat_prompt", + "version": 1, + "litellm_params": '{"prompt_id": "chat_prompt", "prompt_integration": "dotprompt", "model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "v1 content"}]}', + "prompt_info": '{"prompt_type": "db"}', + "created_at": "2024-01-01T00:00:00", + "updated_at": "2024-01-01T00:00:00", + } + + # Mock database prompt version 2 + mock_prompt_v2 = MagicMock() + mock_prompt_v2.model_dump.return_value = { + "id": "uuid-2", + "prompt_id": "chat_prompt", + "version": 2, + "litellm_params": '{"prompt_id": "chat_prompt", "prompt_integration": "dotprompt", "model": "gpt-4", "messages": [{"role": "user", "content": "v2 content"}]}', + "prompt_info": '{"prompt_type": "db"}', + "created_at": "2024-01-02T00:00:00", + "updated_at": "2024-01-02T00:00:00", + } + + # Test version 1 + prompt_spec_v1 = proxy_config._get_prompt_spec_for_db_prompt(db_prompt=mock_prompt_v1) + assert prompt_spec_v1.prompt_id == "chat_prompt.v1" + + # Test version 2 + prompt_spec_v2 = proxy_config._get_prompt_spec_for_db_prompt(db_prompt=mock_prompt_v2) + assert prompt_spec_v2.prompt_id == "chat_prompt.v2" + From 6477740b8c0c416130ccaa08d6b5a8913f3ff69d Mon Sep 17 00:00:00 2001 From: Ishaan Jaffer Date: Wed, 19 Nov 2025 13:23:16 -0800 Subject: [PATCH 017/227] bump proxy extras --- ...itellm_proxy_extras-0.4.6-py3-none-any.whl | Bin 0 -> 37547 bytes .../dist/litellm_proxy_extras-0.4.6.tar.gz | Bin 0 -> 17434 bytes litellm-proxy-extras/pyproject.toml | 4 +- poetry.lock | 105 +----------------- pyproject.toml | 2 +- requirements.txt | 2 +- 6 files changed, 10 insertions(+), 103 deletions(-) create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.4.6-py3-none-any.whl create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.4.6.tar.gz diff --git 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Reduces the size of the main litellm package." authors = ["BerriAI"] readme = "README.md" @@ -22,7 +22,7 @@ requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" [tool.commitizen] -version = "0.4.5" +version = "0.4.6" version_files = [ "pyproject.toml:version", "../requirements.txt:litellm-proxy-extras==", diff --git a/poetry.lock b/poetry.lock index 8a9b4fbb60b..32460b91c91 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.2.0 and should not be changed by hand. 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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- package-lock.json | 2873 +-------------------------------------------- 1 file changed, 5 insertions(+), 2868 deletions(-) diff --git a/package-lock.json b/package-lock.json index 302ec856788..6aee34db53a 100644 --- a/package-lock.json +++ b/package-lock.json @@ -10,16 +10,10 @@ "react-copy-to-clipboard": "^5.1.0" }, "devDependencies": { - "@babel/core": "^7.28.4", - "@babel/preset-env": "^7.28.3", - "@babel/preset-react": "^7.27.1", - "@babel/preset-typescript": "^7.27.1", "@testing-library/jest-dom": "^6.8.0", "@testing-library/react": "^14.3.1", "@types/react-copy-to-clipboard": "^5.0.7", - "babel-jest": "^30.1.2", - "jest": "^29.7.0", - "jest-environment-jsdom": "^30.1.2" + "jest": "^29.7.0" } }, "node_modules/@adobe/css-tools": { @@ -29,27 +23,6 @@ "dev": true, "license": "MIT" }, - "node_modules/@asamuzakjp/css-color": { - "version": "3.2.0", - "resolved": 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commit 149f3084518d4d70d7d19ab6cff2cd356d108f15. --- ...odel_prices_and_context_window_backup.json | 38 +++++++++---------- model_prices_and_context_window.json | 38 +++++++++---------- 2 files changed, 38 insertions(+), 38 deletions(-) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 4fe2a19f604..e77e67bf70d 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -14623,7 +14623,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14660,7 +14660,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14696,7 +14696,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14732,7 +14732,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14835,7 +14835,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14870,7 +14870,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -14902,7 +14902,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -15034,7 +15034,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15073,7 +15073,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15111,7 +15111,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -15146,7 +15146,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -17999,7 +17999,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -18018,7 +18018,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18032,7 +18032,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1.2e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18046,7 +18046,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18060,7 +18060,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18176,7 +18176,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 8e-06, "supported_endpoints": [ "/v1/responses", @@ -18274,7 +18274,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, @@ -18291,7 +18291,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 4fe2a19f604..e77e67bf70d 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -14623,7 +14623,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14660,7 +14660,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14696,7 +14696,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14732,7 +14732,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14835,7 +14835,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14870,7 +14870,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -14902,7 +14902,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -15034,7 +15034,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15073,7 +15073,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15111,7 +15111,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -15146,7 +15146,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -17999,7 +17999,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -18018,7 +18018,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18032,7 +18032,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1.2e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18046,7 +18046,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18060,7 +18060,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18176,7 +18176,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 8e-06, "supported_endpoints": [ "/v1/responses", @@ -18274,7 +18274,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, @@ -18291,7 +18291,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, From cd6256f64ad40ebd3fdb1bf9a610725c135288f0 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 19 Nov 2025 16:26:11 -0800 Subject: [PATCH 020/227] [Feat] Prompt Management - Add UI for editing the prompts (#16853) * v0 for prompt management * v0 * clean up view of prompt editor * commit editor view * refactor prompt editor view * ui - refactor prompt editor * add move message * add prompt editor view * fix allow viewing dotprompt file * add dotprompt_content * handleSave for Prompt * ui fix build fail * ui fix build --- litellm/types/prompts/init_prompts.py | 5 + .../src/components/prompts.tsx | 26 +- .../src/components/prompts/index.ts | 3 + .../components/prompts/prompt_editor_view.tsx | 3 + .../prompt_editor_view/ConversationPanel.tsx | 21 ++ .../DeveloperMessageCard.tsx | 31 ++ .../prompt_editor_view/DotpromptViewTab.tsx | 32 ++ .../prompt_editor_view/ModelConfigCard.tsx | 98 ++++++ .../prompt_editor_view/PromptEditorHeader.tsx | 51 +++ .../prompt_editor_view/PromptMessagesCard.tsx | 121 ++++++++ .../prompt_editor_view/PublishModal.tsx | 56 ++++ .../prompts/prompt_editor_view/ToolsCard.tsx | 67 ++++ .../prompts/prompt_editor_view/index.tsx | 290 ++++++++++++++++++ .../prompts/prompt_editor_view/types.ts | 30 ++ .../prompts/prompt_editor_view/utils.ts | 76 +++++ .../src/components/prompts/tool_modal.tsx | 89 ++++++ .../components/prompts/variable_textarea.tsx | 163 ++++++++++ ui/litellm-dashboard/tsconfig.tsbuildinfo | 1 + 18 files changed, 1162 insertions(+), 1 deletion(-) create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ConversationPanel.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DeveloperMessageCard.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DotpromptViewTab.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ModelConfigCard.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptEditorHeader.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptMessagesCard.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PublishModal.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ToolsCard.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/index.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/types.ts create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/utils.ts create mode 100644 ui/litellm-dashboard/src/components/prompts/tool_modal.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/variable_textarea.tsx create mode 100644 ui/litellm-dashboard/tsconfig.tsbuildinfo diff --git a/litellm/types/prompts/init_prompts.py b/litellm/types/prompts/init_prompts.py index 184f0448b33..102ace93a52 100644 --- a/litellm/types/prompts/init_prompts.py +++ b/litellm/types/prompts/init_prompts.py @@ -23,6 +23,11 @@ class PromptLiteLLMParams(BaseModel): prompt_id: str prompt_integration: str + dotprompt_content: Optional[str] = None + """ + allows saving the dotprompt file content + """ + model_config = ConfigDict(extra="allow", protected_namespaces=()) diff --git a/ui/litellm-dashboard/src/components/prompts.tsx b/ui/litellm-dashboard/src/components/prompts.tsx index cf41f36f6c5..a8cdb923f32 100644 --- a/ui/litellm-dashboard/src/components/prompts.tsx +++ b/ui/litellm-dashboard/src/components/prompts.tsx @@ -6,6 +6,7 @@ import { getPromptsList, PromptSpec, ListPromptsResponse, deletePromptCall } fro import PromptTable from "./prompts/prompt_table"; import PromptInfoView from "./prompts/prompt_info"; import AddPromptForm from "./prompts/add_prompt_form"; +import PromptEditorView from "./prompts/prompt_editor_view"; import NotificationsManager from "./molecules/notifications_manager"; import { isAdminRole } from "@/utils/roles"; @@ -19,6 +20,7 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { const [isLoading, setIsLoading] = useState(false); const [selectedPromptId, setSelectedPromptId] = useState(null); const [isAddModalVisible, setIsAddModalVisible] = useState(false); + const [showEditorView, setShowEditorView] = useState(false); const [isDeleting, setIsDeleting] = useState(false); const [promptToDelete, setPromptToDelete] = useState<{ id: string; name: string } | null>(null); @@ -50,6 +52,13 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { }; const handleAddPrompt = () => { + if (selectedPromptId) { + setSelectedPromptId(null); + } + setShowEditorView(true); + }; + + const handleAddPromptFromFile = () => { if (selectedPromptId) { setSelectedPromptId(null); } @@ -60,6 +69,10 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { setIsAddModalVisible(false); }; + const handleCloseEditor = () => { + setShowEditorView(false); + }; + const handleSuccess = () => { fetchPrompts(); }; @@ -91,7 +104,13 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { return (
- {selectedPromptId ? ( + {showEditorView ? ( + + ) : selectedPromptId ? ( setSelectedPromptId(null)} @@ -102,9 +121,14 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { ) : ( <>
+
+ +
{ + return ( +
+
+
+
+ +
+

Your conversation will appear here

+

Save the prompt to test it

+
+
+
+ ); +}; + +export default ConversationPanel; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DeveloperMessageCard.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DeveloperMessageCard.tsx new file mode 100644 index 00000000000..8f920ea5534 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DeveloperMessageCard.tsx @@ -0,0 +1,31 @@ +import React from "react"; +import { Card, Text } from "@tremor/react"; +import VariableTextArea from "../variable_textarea"; + +interface DeveloperMessageCardProps { + value: string; + onChange: (value: string) => void; +} + +const DeveloperMessageCard: React.FC = ({ + value, + onChange, +}) => { + return ( + + Developer message + + Optional system instructions for the model + + + + ); +}; + +export default DeveloperMessageCard; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DotpromptViewTab.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DotpromptViewTab.tsx new file mode 100644 index 00000000000..7791789fab9 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DotpromptViewTab.tsx @@ -0,0 +1,32 @@ +import React from "react"; +import { PromptType } from "./types"; +import { convertToDotPrompt } from "./utils"; + +interface DotpromptViewTabProps { + prompt: PromptType; +} + +const DotpromptViewTab: React.FC = ({ prompt }) => { + const dotpromptContent = convertToDotPrompt(prompt); + + return ( +
+
+

+ Generated .prompt file +

+

+ This is the dotprompt format that will be saved to the database +

+
+
+ 
+          {dotpromptContent}
+
+
+
+ ); +}; + +export default DotpromptViewTab; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ModelConfigCard.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ModelConfigCard.tsx new file mode 100644 index 00000000000..1752fdc22b5 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ModelConfigCard.tsx @@ -0,0 +1,98 @@ +import React, { useState } from "react"; +import { Text } from "@tremor/react"; +import { Input } from "antd"; +import { SettingsIcon } from "lucide-react"; +import ModelSelector from "../../common_components/ModelSelector"; + +interface ModelConfigCardProps { + model: string; + temperature?: number; + maxTokens?: number; + accessToken: string | null; + onModelChange: (model: string) => void; + onTemperatureChange: (temp: number) => void; + onMaxTokensChange: (tokens: number) => void; +} + +const ModelConfigCard: React.FC = ({ + model, + temperature = 1, + maxTokens = 1000, + accessToken, + onModelChange, + onTemperatureChange, + onMaxTokensChange, +}) => { + const [showConfig, setShowConfig] = useState(false); + + return ( +
+
+ +
+ + + + {showConfig && ( +
+
+
+

Model Parameters

+ +
+
+
+
+ Temperature + onTemperatureChange(parseFloat(e.target.value) || 0)} + className="w-20" + /> +
+
+
+
+ Max Tokens + onMaxTokensChange(parseInt(e.target.value) || 1000)} + className="w-24" + /> +
+
+
+
+
+ )} +
+ ); +}; + +export default ModelConfigCard; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptEditorHeader.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptEditorHeader.tsx new file mode 100644 index 00000000000..5339e437a0e --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptEditorHeader.tsx @@ -0,0 +1,51 @@ +import React from "react"; +import { Button as TremorButton } from "@tremor/react"; +import { Input } from "antd"; +import { ArrowLeftIcon, SaveIcon } from "lucide-react"; + +interface PromptEditorHeaderProps { + promptName: string; + onNameChange: (name: string) => void; + onBack: () => void; + onSave: () => void; + isSaving: boolean; +} + +const PromptEditorHeader: React.FC = ({ + promptName, + onNameChange, + onBack, + onSave, + isSaving, +}) => { + return ( +
+
+ + Back + + onNameChange(e.target.value)} + className="text-base font-medium border-none shadow-none" + style={{ width: "200px" }} + /> + Draft + Unsaved changes +
+
+ + Save + +
+
+ ); +}; + +export default PromptEditorHeader; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptMessagesCard.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptMessagesCard.tsx new file mode 100644 index 00000000000..eb037ff5fc1 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptMessagesCard.tsx @@ -0,0 +1,121 @@ +import React, { useState } from "react"; +import { Card, Text } from "@tremor/react"; +import { Select } from "antd"; +import { PlusIcon, TrashIcon, GripVerticalIcon } from "lucide-react"; +import VariableTextArea from "../variable_textarea"; +import { Message } from "./types"; + +const { Option } = Select; + +interface PromptMessagesCardProps { + messages: Message[]; + onAddMessage: () => void; + onUpdateMessage: (index: number, field: "role" | "content", value: string) => void; + onRemoveMessage: (index: number) => void; + onMoveMessage: (fromIndex: number, toIndex: number) => void; +} + +const PromptMessagesCard: React.FC = ({ + messages, + onAddMessage, + onUpdateMessage, + onRemoveMessage, + onMoveMessage, +}) => { + const [draggedIndex, setDraggedIndex] = useState(null); + const [dragOverIndex, setDragOverIndex] = useState(null); + + const handleDragStart = (index: number) => { + setDraggedIndex(index); + }; + + const handleDragOver = (e: React.DragEvent, index: number) => { + e.preventDefault(); + setDragOverIndex(index); + }; + + const handleDrop = (e: React.DragEvent, dropIndex: number) => { + e.preventDefault(); + if (draggedIndex !== null && draggedIndex !== dropIndex) { + onMoveMessage(draggedIndex, dropIndex); + } + setDraggedIndex(null); + setDragOverIndex(null); + }; + + const handleDragEnd = () => { + setDraggedIndex(null); + setDragOverIndex(null); + }; + + return ( + +
+ Prompt messages + + Use {'{{variable}}'} syntax for template variables + +
+
+ {messages.map((message, index) => ( +
handleDragStart(index)} + onDragOver={(e) => handleDragOver(e, index)} + onDrop={(e) => handleDrop(e, index)} + onDragEnd={handleDragEnd} + className={`border border-gray-300 rounded overflow-hidden bg-white transition-all ${ + draggedIndex === index ? "opacity-50" : "" + } ${dragOverIndex === index && draggedIndex !== index ? "border-blue-500 border-2" : ""}`} + > +
+ +
+ {messages.length > 1 && ( + + )} +
+ +
+
+
+
+ onUpdateMessage(index, "content", value)} + rows={3} + placeholder="Enter prompt content..." + /> +
+
+ ))} +
+ + + ); +}; + +export default PromptMessagesCard; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PublishModal.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PublishModal.tsx new file mode 100644 index 00000000000..411a463c45c --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PublishModal.tsx @@ -0,0 +1,56 @@ +import React from "react"; +import { Button as TremorButton, Text } from "@tremor/react"; +import { Input, Modal } from "antd"; + +interface PublishModalProps { + visible: boolean; + promptName: string; + isSaving: boolean; + onNameChange: (name: string) => void; + onPublish: () => void; + onCancel: () => void; +} + +const PublishModal: React.FC = ({ + visible, + promptName, + isSaving, + onNameChange, + onPublish, + onCancel, +}) => { + return ( + + + Cancel + + + Publish + +
+ ]} + > +
+ Name + onNameChange(e.target.value)} + placeholder="Enter prompt name" + onPressEnter={onPublish} + autoFocus + /> + + Published prompts can be used in API calls and are versioned for easy tracking. + +
+ + ); +}; + +export default PublishModal; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ToolsCard.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ToolsCard.tsx new file mode 100644 index 00000000000..53444c5d8e9 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ToolsCard.tsx @@ -0,0 +1,67 @@ +import React from "react"; +import { Card, Text } from "@tremor/react"; +import { PlusIcon, TrashIcon } from "lucide-react"; +import { Tool } from "./types"; + +interface ToolsCardProps { + tools: Tool[]; + onAddTool: () => void; + onEditTool: (index: number) => void; + onRemoveTool: (index: number) => void; +} + +const ToolsCard: React.FC = ({ + tools, + onAddTool, + onEditTool, + onRemoveTool, +}) => { + return ( + +
+ Tools + +
+ {tools.length === 0 ? ( + No tools added + ) : ( +
+ {tools.map((tool, index) => ( +
+
+
{tool.name}
+
{tool.description}
+
+
+ + +
+
+ ))} +
+ )} + + ); +}; + +export default ToolsCard; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/index.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/index.tsx new file mode 100644 index 00000000000..8ea8f7d5b7a --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/index.tsx @@ -0,0 +1,290 @@ +import React, { useState } from "react"; +import ToolModal from "../tool_modal"; +import NotificationsManager from "../../molecules/notifications_manager"; +import { createPromptCall } from "../../networking"; +import { PromptType, PromptEditorViewProps, Tool } from "./types"; +import { convertToDotPrompt } from "./utils"; +import PromptEditorHeader from "./PromptEditorHeader"; +import ModelConfigCard from "./ModelConfigCard"; +import ToolsCard from "./ToolsCard"; +import DeveloperMessageCard from "./DeveloperMessageCard"; +import PromptMessagesCard from "./PromptMessagesCard"; +import ConversationPanel from "./ConversationPanel"; +import PublishModal from "./PublishModal"; +import DotpromptViewTab from "./DotpromptViewTab"; + +const PromptEditorView: React.FC = ({ onClose, onSuccess, accessToken }) => { + const [prompt, setPrompt] = useState({ + name: "New prompt", + model: "gpt-4o", + config: { + temperature: 1, + max_tokens: 1000, + }, + tools: [], + developerMessage: "", + messages: [ + { + role: "user", + content: "Enter task specifics. Use {{template_variables}} for dynamic inputs", + }, + ], + }); + + const [showToolModal, setShowToolModal] = useState(false); + const [showNameModal, setShowNameModal] = useState(false); + const [editingToolIndex, setEditingToolIndex] = useState(null); + const [isSaving, setIsSaving] = useState(false); + const [viewMode, setViewMode] = useState<"pretty" | "dotprompt">("pretty"); + + const addMessage = () => { + setPrompt({ + ...prompt, + messages: [ + ...prompt.messages, + { + role: "user", + content: "", + }, + ], + }); + }; + + const updateMessage = (index: number, field: "role" | "content", value: string) => { + const newMessages = [...prompt.messages]; + newMessages[index][field] = value; + setPrompt({ + ...prompt, + messages: newMessages, + }); + }; + + const removeMessage = (index: number) => { + if (prompt.messages.length > 1) { + setPrompt({ + ...prompt, + messages: prompt.messages.filter((_, i) => i !== index), + }); + } + }; + + const moveMessage = (fromIndex: number, toIndex: number) => { + const newMessages = [...prompt.messages]; + const [movedMessage] = newMessages.splice(fromIndex, 1); + newMessages.splice(toIndex, 0, movedMessage); + setPrompt({ + ...prompt, + messages: newMessages, + }); + }; + + const addTool = (json: string) => { + try { + const parsed = JSON.parse(json); + const tool: Tool = { + name: parsed.function?.name || "Unnamed Tool", + description: parsed.function?.description || "", + json: json, + }; + + if (editingToolIndex !== null) { + const newTools = [...prompt.tools]; + newTools[editingToolIndex] = tool; + setPrompt({ + ...prompt, + tools: newTools, + }); + } else { + setPrompt({ + ...prompt, + tools: [...prompt.tools, tool], + }); + } + + setShowToolModal(false); + setEditingToolIndex(null); + } catch (error) { + NotificationsManager.fromBackend("Invalid JSON format"); + } + }; + + const removeTool = (index: number) => { + setPrompt({ + ...prompt, + tools: prompt.tools.filter((_, i) => i !== index), + }); + }; + + const openToolModal = (index?: number) => { + if (index !== undefined) { + setEditingToolIndex(index); + } else { + setEditingToolIndex(null); + } + setShowToolModal(true); + }; + + const handleSaveClick = () => { + if (!prompt.name || prompt.name.trim() === "" || prompt.name === "New prompt") { + setShowNameModal(true); + } else { + handleSave(); + } + }; + + const handleSave = async () => { + if (!accessToken) { + NotificationsManager.fromBackend("Access token is required"); + return; + } + + if (!prompt.name || prompt.name.trim() === "") { + NotificationsManager.fromBackend("Please enter a valid prompt name"); + return; + } + + setIsSaving(true); + try { + const promptId = prompt.name.replace(/[^a-zA-Z0-9_-]/g, "_").toLowerCase(); + const dotpromptContent = convertToDotPrompt(prompt); + + const promptData = { + prompt_id: promptId, + litellm_params: { + prompt_integration: "dotprompt", + prompt_id: promptId, + dotprompt_content: dotpromptContent, + }, + prompt_info: { + prompt_type: "db", + }, + }; + + await createPromptCall(accessToken, promptData); + NotificationsManager.success("Prompt created successfully!"); + onSuccess(); + onClose(); + } catch (error) { + console.error("Error saving prompt:", error); + NotificationsManager.fromBackend("Failed to save prompt"); + } finally { + setIsSaving(false); + setShowNameModal(false); + } + }; + + return ( +
+
+ setPrompt({ ...prompt, name })} + onBack={onClose} + onSave={handleSaveClick} + isSaving={isSaving} + /> + +
+
+
+ setPrompt({ ...prompt, model })} + onTemperatureChange={(temperature) => + setPrompt({ + ...prompt, + config: { ...prompt.config, temperature }, + }) + } + onMaxTokensChange={(max_tokens) => + setPrompt({ + ...prompt, + config: { ...prompt.config, max_tokens }, + }) + } + /> + +
+ + +
+
+ + {viewMode === "pretty" ? ( +
+ openToolModal()} + onEditTool={openToolModal} + onRemoveTool={removeTool} + /> + + setPrompt({ ...prompt, developerMessage })} + /> + + +
+ ) : ( + + )} +
+ + +
+
+ + setPrompt({ ...prompt, name })} + onPublish={handleSave} + onCancel={() => setShowNameModal(false)} + /> + + {showToolModal && ( + { + setShowToolModal(false); + setEditingToolIndex(null); + }} + /> + )} +
+ ); +}; + +export default PromptEditorView; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/types.ts b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/types.ts new file mode 100644 index 00000000000..36376e00554 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/types.ts @@ -0,0 +1,30 @@ +export interface Message { + role: string; + content: string; +} + +export interface Tool { + name: string; + description: string; + json: string; +} + +export interface PromptType { + name: string; + model: string; + config: { + temperature?: number; + max_tokens?: number; + top_p?: number; + }; + tools: Tool[]; + developerMessage: string; + messages: Message[]; +} + +export interface PromptEditorViewProps { + onClose: () => void; + onSuccess: () => void; + accessToken: string | null; +} + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/utils.ts b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/utils.ts new file mode 100644 index 00000000000..6da9c44d863 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/utils.ts @@ -0,0 +1,76 @@ +import { PromptType } from "./types"; + +export const extractVariables = (prompt: PromptType): string[] => { + const variableSet = new Set(); + const variableRegex = /\{\{(\w+)\}\}/g; + + prompt.messages.forEach((message) => { + let match; + while ((match = variableRegex.exec(message.content)) !== null) { + variableSet.add(match[1]); + } + }); + + if (prompt.developerMessage) { + let match; + while ((match = variableRegex.exec(prompt.developerMessage)) !== null) { + variableSet.add(match[1]); + } + } + + return Array.from(variableSet); +}; + +export const convertToDotPrompt = (prompt: PromptType): string => { + const variables = extractVariables(prompt); + let result = `---\nmodel: ${prompt.model}\n`; + + // Add temperature if set + if (prompt.config.temperature !== undefined) { + result += `temperature: ${prompt.config.temperature}\n`; + } + + // Add max_tokens if set + if (prompt.config.max_tokens !== undefined) { + result += `max_tokens: ${prompt.config.max_tokens}\n`; + } + + // Add top_p if set + if (prompt.config.top_p !== undefined) { + result += `top_p: ${prompt.config.top_p}\n`; + } + + // Add input schema + result += `input:\n schema:\n`; + variables.forEach((variable) => { + result += ` ${variable}: string\n`; + }); + + // Add output format + result += `output:\n format: text\n`; + + // Add tools if present + if (prompt.tools && prompt.tools.length > 0) { + result += `tools:\n`; + prompt.tools.forEach((tool) => { + const toolObj = JSON.parse(tool.json); + result += ` - ${JSON.stringify(toolObj)}\n`; + }); + } + + result += `---\n\n`; + + // Add developer message if present + if (prompt.developerMessage && prompt.developerMessage.trim() !== "") { + result += `Developer: ${prompt.developerMessage.trim()}\n\n`; + } + + // Add messages with role prefixes + prompt.messages.forEach((message) => { + const role = message.role.charAt(0).toUpperCase() + message.role.slice(1); + result += `${role}: ${message.content}\n\n`; + }); + + return result.trim(); +}; + diff --git a/ui/litellm-dashboard/src/components/prompts/tool_modal.tsx b/ui/litellm-dashboard/src/components/prompts/tool_modal.tsx new file mode 100644 index 00000000000..0496eea2bc5 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/tool_modal.tsx @@ -0,0 +1,89 @@ +import React, { useState } from "react"; +import { Modal, Button } from "antd"; + +interface ToolModalProps { + visible: boolean; + initialJson: string; + onSave: (json: string) => void; + onClose: () => void; +} + +const defaultToolJson = `{ + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA" + }, + "unit": { + "type": "string", + "enum": ["celsius", "fahrenheit"] + } + }, + "required": ["location"] + } + } +}`; + +const ToolModal: React.FC = ({ visible, initialJson, onSave, onClose }) => { + const [json, setJson] = useState(initialJson || defaultToolJson); + const [error, setError] = useState(null); + + const handleSave = () => { + try { + JSON.parse(json); + setError(null); + onSave(json); + } catch (e) { + setError("Invalid JSON format. Please check your syntax."); + } + }; + + const handleClose = () => { + setError(null); + onClose(); + }; + + return ( + + Add Tool +
+ } + open={visible} + onCancel={handleClose} + width={800} + footer={[ + , + , + ]} + > +
+ {error && ( +
+ {error} +
+ )} +