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* Fix Vertex AI function calling invoke: use JSON format instead of protobuf text format. (#6702) * test: test tool_call conversion when arguments is empty dict Fixes https://github.com/BerriAI/litellm/issues/6833 * fix(openai_like/handler.py): return more descriptive error message Fixes https://github.com/BerriAI/litellm/issues/6812 * test: skip overloaded model * docs(anthropic.md): update anthropic docs to show how to route to any new model * feat(groq/): fake stream when 'response_format' param is passed Groq doesn't support streaming when response_format is set * feat(groq/): add response_format support for groq Closes https://github.com/BerriAI/litellm/issues/6845 * fix(o1_handler.py): remove fake streaming for o1 Closes https://github.com/BerriAI/litellm/issues/6801 * build(model_prices_and_context_window.json): add groq llama3.2b model pricing Closes https://github.com/BerriAI/litellm/issues/6807 * fix(utils.py): fix handling ollama response format param Fixes https://github.com/BerriAI/litellm/issues/6848#issuecomment-2491215485 * docs(sidebars.js): refactor chat endpoint placement * fix: fix linting errors * test: fix test * test: fix test * fix(openai_like/handler): handle max retries * fix(streaming_handler.py): fix streaming check for openai-compatible providers * test: update test * test: correctly handle model is overloaded error * test: update test * test: fix test * test: mark flaky test --------- Co-authored-by: Guowang Li <Guowang@users.noreply.github.com> |
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|---|---|---|
| .. | ||
| audio_utils | ||
| llm_cost_calc | ||
| llm_response_utils | ||
| asyncify.py | ||
| core_helpers.py | ||
| default_encoding.py | ||
| exception_mapping_utils.py | ||
| get_llm_provider_logic.py | ||
| get_supported_openai_params.py | ||
| json_validation_rule.py | ||
| litellm_logging.py | ||
| llm_request_utils.py | ||
| logging_utils.py | ||
| mock_functions.py | ||
| README.md | ||
| realtime_streaming.py | ||
| redact_messages.py | ||
| response_header_helpers.py | ||
| rules.py | ||
| streaming_chunk_builder_utils.py | ||
| streaming_handler.py | ||
| token_counter.py | ||
Folder Contents
This folder contains general-purpose utilities that are used in multiple places in the codebase.
Core files:
streaming_handler.py: The core streaming logic + streaming related helper utilscore_helpers.py: code used intypes/- e.g.map_finish_reason.exception_mapping_utils.py: utils for mapping exceptions to openai-compatible error types.default_encoding.py: code for loading the default encoding (tiktoken)get_llm_provider_logic.py: code for inferring the LLM provider from a given model name.