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litellm-mirror/litellm/litellm_core_utils
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Krish Dholakia 61afdab228 refactor(sagemaker/): separate chat + completion routes + make them b… (#7151) 
* refactor(sagemaker/): separate chat + completion routes + make them both use base llm config

Addresses https://github.com/andrewyng/aisuite/issues/113#issuecomment-2512369132

* fix(main.py): pass hf model name + custom prompt dict to litellm params
2024-12-10 19:40:05 -08:00
..
audio_utils fix import error 2024-09-05 10:09:44 -07:00
llm_cost_calc LiteLLM Minor Fixes & Improvements (10/09/2024) (#6139) 2024-10-10 00:42:11 -07:00
llm_response_utils (fix) litellm.text_completion raises a non-blocking error on simple usage (#6546) 2024-11-04 15:47:48 -08:00
asyncify.py build(config.yml): bump anyio version 2024-08-27 07:37:06 -07:00
core_helpers.py Litellm dev 11 07 2024 (#6649) 2024-11-08 19:34:22 +05:30
default_encoding.py Litellm dev 11 07 2024 (#6649) 2024-11-08 19:34:22 +05:30
duration_parser.py (QOL improvement) Provider budget routing - allow using 1s, 1d, 1mo, 2mo etc (#6885) 2024-11-23 16:59:46 -08:00
exception_mapping_utils.py Litellm 12 02 2024 (#6994) 2024-12-02 22:00:01 -08:00
get_llm_provider_logic.py refactor(fireworks_ai/): inherit from openai like base config (#7146) 2024-12-10 16:15:19 -08:00
get_supported_openai_params.py refactor(sagemaker/): separate chat + completion routes + make them b… (#7151) 2024-12-10 19:40:05 -08:00
json_validation_rule.py feat(vertex_ai_anthropic.py): support response_schema for vertex ai anthropic calls 2024-07-18 16:57:38 -07:00
litellm_logging.py feat(langfuse/): support langfuse prompt management (#7073) 2024-12-06 23:10:22 -08:00
llm_request_utils.py Litellm ruff linting enforcement (#5992) 2024-10-01 19:44:20 -04:00
logging_utils.py (refactor) use helper function _assemble_complete_response_from_streaming_chunks to assemble complete responses in caching and logging callbacks (#6220) 2024-10-15 12:45:12 +05:30
mock_functions.py test(router_code_coverage.py): check if all router functions are dire… (#6186) 2024-10-14 22:44:00 -07:00
README.md (QOL improvement) Provider budget routing - allow using 1s, 1d, 1mo, 2mo etc (#6885) 2024-11-23 16:59:46 -08:00
realtime_streaming.py Litellm dev 10 22 2024 (#6384) 2024-10-22 21:18:54 -07:00
redact_messages.py (feat) Allow enabling logging message / response for specific virtual keys (#7071) 2024-12-06 21:25:36 -08:00
response_header_helpers.py fix(utils.py): guarantee openai-compatible headers always exist in response 2024-09-28 21:08:15 -07:00
rules.py Litellm dev 11 07 2024 (#6649) 2024-11-08 19:34:22 +05:30
streaming_chunk_builder_utils.py LiteLLM Minor Fixes & Improvements (12/05/2024) (#7051) 2024-12-06 14:29:53 -08:00
streaming_handler.py (Refactor) Code Quality improvement - Use Common base handler for anthropic_text/ (#7143) 2024-12-10 12:23:58 -08:00
token_counter.py fix(token_counter.py): New `get_modified_max_tokens' helper func 2024-06-27 15:38:09 -07:00

README.md

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 utils
  • core_helpers.py: code used in types/ - 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"