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litellm-mirror/litellm/litellm_core_utils
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Krish Dholakia 62b00cf28d
o1 - add image param handling (#7312) 
* fix(openai.py): fix returning o1 non-streaming requests

fixes issue where fake stream always true for o1

* build(model_prices_and_context_window.json): add 'supports_vision' for o1 models

* fix: add internal server error exception mapping

* fix(base_llm_unit_tests.py): drop temperature from test

* test: mark prompt caching as a flaky test
2024-12-19 11:22:25 -08:00
..
audio_utils fix import error 2024-09-05 10:09:44 -07:00
llm_cost_calc LiteLLM Minor Fixes & Improvements (12/16/2024) - p1 (#7263) 2024-12-17 15:33:36 -08:00
llm_response_utils LiteLLM Minor Fixes & Improvements (12/16/2024) - p1 (#7263) 2024-12-17 15:33:36 -08:00
prompt_templates fix(health.md): add rerank model health check information (#7295) 2024-12-18 19:18:10 -08:00
tokenizers Code Quality Improvement - remove tokenizers/ from /llms (#7163) 2024-12-10 23:50:15 -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 Code Quality Improvement - remove tokenizers/ from /llms (#7163) 2024-12-10 23:50:15 -08:00
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 o1 - add image param handling (#7312) 2024-12-19 11:22:25 -08:00
get_llm_provider_logic.py (fix) unable to pass input_type parameter to Voyage AI embedding mode (#7276) 2024-12-17 19:23:49 -08:00
get_supported_openai_params.py (fix) unable to pass input_type parameter to Voyage AI embedding mode (#7276) 2024-12-17 19:23:49 -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 LiteLLM Minor Fixes & Improvements (12/16/2024) - p1 (#7263) 2024-12-17 15:33:36 -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 LiteLLM Minor Fixes & Improvements (12/16/2024) - p1 (#7263) 2024-12-17 15:33:36 -08:00
token_counter.py fix: Support WebP image format and avoid token calculation error (#7182) 2024-12-12 14:32:39 -08:00

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"