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litellm-mirror/litellm/litellm_core_utils
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Krish Dholakia 61b4c41c3c Litellm dev 12 20 2024 p3 (#7339) 
* fix(proxy_track_cost_callback.py): log to db if only end user param given

* fix: allows for jwt-auth based end user id spend tracking to work

* fix(utils.py): fix 'get_end_user_id_for_cost_tracking' to use 'user_api_key_end_user_id'

more stable - works with jwt-auth based end user tracking as well

* test(test_jwt.py): add e2e unit test to confirm end user cost tracking works for spend logs

* test: update test to use end_user api key hash param

* fix(langfuse.py): support end user cost tracking via jwt auth + langfuse

logs end user to langfuse if decoded from jwt token

* fix: fix linting errors

* test: fix test

* test: fix test

* fix: fix end user id extraction

* fix: run test earlier
2024-12-20 21:13:32 -08:00
..
audio_utils fix import error 2024-09-05 10:09:44 -07:00
llm_cost_calc (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
llm_response_utils LiteLLM Minor Fixes & Improvements (12/16/2024) - p1 (#7263) 2024-12-17 15:33:36 -08:00
prompt_templates (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
tokenizers Code Quality Improvement - remove tokenizers/ from /llms (#7163) 2024-12-10 23:50:15 -08:00
asyncify.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
core_helpers.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
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 (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
get_llm_provider_logic.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
get_supported_openai_params.py [Bug fix ]: Triton /infer handler incompatible with batch responses (#7337) 2024-12-20 20:59:40 -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 dev 12 20 2024 p3 (#7339) 2024-12-20 21:13:32 -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 (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
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 (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
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 (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -08:00
streaming_handler.py (code quality) run ruff rule to ban unused imports (#7313) 2024-12-19 12:33:42 -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"