mirror of
https://github.com/BerriAI/litellm.git
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32013f63a0
* fix(unified_guardrail.py): correctly map a v1/messages call to the anthropic unified guardrail * fix: add more rigorous call type checks * fix(anthropic_endpoints/endpoints.py): initialize logging object at the beginning of endpoint ensures call id + trace id are emitted to guardrail api * feat(anthropic/chat/guardrail_translation): support streaming guardrails sample on every 5 chunks * fix(openai/chat/guardrail_translation): support openai streaming guardrails * fix: initial commit fixing output guardrails for responses api * feat(openai/responses/guardrail_translation): handler.py - fix output checks on responses api * fix(openai/responses/guardrail_translation/handler.py): ensure responses api guardrails work on streaming * test: update tests * test: update tests * fix: support multiple kinds of input to the guardrail api * feat(guardrail_translation/handler.py): support extracting tool calls from openai chat completions for guardrail api's * feat(generic_guardrail_api.py): support extracting + returning modified tool calls on generic_guardrails_api allows guardrail api to analyze tool call being sent to provider - to run any analysis on it * fix(guardrails.py): support anthropic /v1/messages tool calls * feat(responses_api/): extract tool calls for guardrail processing * docs(generic_guardrail_api.md): document tools param support * docs: generic_guardrail_api.md improve documentation |
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| .. | ||
| benchmark | ||
| codellama-server | ||
| community-resources | ||
| litellm-ollama-docker-image | ||
| litellm_proxy_server | ||
| litellm_router | ||
| litellm_router_load_test | ||
| logging_observability | ||
| misc | ||
| mock_guardrail_server | ||
| Benchmarking_LLMs_by_use_case.ipynb | ||
| Claude_(Anthropic)_with_Streaming_liteLLM_Examples.ipynb | ||
| Evaluating_LLMs.ipynb | ||
| google_adk_litellm_tutorial.ipynb | ||
| liteLLM_A121_Jurrasic_example.ipynb | ||
| LiteLLM_Azure_and_OpenAI_example.ipynb | ||
| liteLLM_Baseten.ipynb | ||
| LiteLLM_batch_completion.ipynb | ||
| LiteLLM_Bedrock.ipynb | ||
| liteLLM_clarifai_Demo.ipynb | ||
| LiteLLM_CometAPI.ipynb | ||
| LiteLLM_Comparing_LLMs.ipynb | ||
| LiteLLM_Completion_Cost.ipynb | ||
| liteLLM_function_calling.ipynb | ||
| liteLLM_Getting_Started.ipynb | ||
| LiteLLM_HuggingFace.ipynb | ||
| liteLLM_IBM_Watsonx.ipynb | ||
| liteLLM_Langchain_Demo.ipynb | ||
| litellm_model_fallback.ipynb | ||
| LiteLLM_NovitaAI_Cookbook.ipynb | ||
| liteLLM_Ollama.ipynb | ||
| LiteLLM_OpenRouter.ipynb | ||
| LiteLLM_Petals.ipynb | ||
| LiteLLM_PromptLayer.ipynb | ||
| liteLLM_Replicate_Demo.ipynb | ||
| liteLLM_Streaming_Demo.ipynb | ||
| litellm_test_multiple_llm_demo.ipynb | ||
| litellm_Test_Multiple_Providers.ipynb | ||
| LiteLLM_User_Based_Rate_Limits.ipynb | ||
| liteLLM_VertextAI_Example.ipynb | ||
| Migrating_to_LiteLLM_Proxy_from_OpenAI_Azure_OpenAI.ipynb | ||
| mlflow_langchain_tracing_litellm_proxy.ipynb | ||
| Parallel_function_calling.ipynb | ||
| Proxy_Batch_Users.ipynb | ||
| result.html | ||
| TogetherAI_liteLLM.ipynb | ||
| Using_Nemo_Guardrails_with_LiteLLM_Server.ipynb | ||
| veo_video_generation.py | ||
| VLLM_Model_Testing.ipynb | ||