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https://github.com/BerriAI/litellm.git
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76795dba39
* fix(types/utils.py): support returning 'reasoning_content' for deepseek models Fixes https://github.com/BerriAI/litellm/issues/7877#issuecomment-2603813218 * fix(convert_dict_to_response.py): return deepseek response in provider_specific_field allows for separating openai vs. non-openai params in model response * fix(utils.py): support 'provider_specific_field' in delta chunk as well allows deepseek reasoning content chunk to be returned to user from stream as well Fixes https://github.com/BerriAI/litellm/issues/7877#issuecomment-2603813218 * fix(watsonx/chat/handler.py): fix passing space id to watsonx on chat route * fix(watsonx/): fix watsonx_text/ route with space id * fix(watsonx/): qa item - also adds better unit testing for watsonx embedding calls * fix(utils.py): rename to '..fields' * fix: fix linting errors * fix(utils.py): fix typing - don't show provider-specific field if none or empty - prevents default respons e from being non-oai compatible * fix: cleanup unused imports * docs(deepseek.md): add docs for deepseek reasoning model |
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|---|---|---|
| .. | ||
| audio_utils | ||
| llm_cost_calc | ||
| llm_response_utils | ||
| prompt_templates | ||
| specialty_caches | ||
| tokenizers | ||
| asyncify.py | ||
| core_helpers.py | ||
| default_encoding.py | ||
| duration_parser.py | ||
| exception_mapping_utils.py | ||
| fallback_utils.py | ||
| get_llm_provider_logic.py | ||
| get_supported_openai_params.py | ||
| health_check_utils.py | ||
| initialize_dynamic_callback_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.duration_parser.py: code for parsing durations - e.g. "1d", "1mo", "10s"