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litellm-mirror/litellm/litellm_core_utils
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Krish Dholakia ac4f32fb1e
Cost tracking for gemini-2.5-pro (#9837) 
* build(model_prices_and_context_window.json): add google/gemini-2.0-flash-lite-001 versioned pricing

Closes https://github.com/BerriAI/litellm/issues/9829

* build(model_prices_and_context_window.json): add initial support for 'supported_output_modalities' param

* build(model_prices_and_context_window.json): add initial support for 'supported_output_modalities' param

* build(model_prices_and_context_window.json): add supported endpoints to gemini-2.5-pro

* build(model_prices_and_context_window.json): add gemini 200k+ pricing

* feat(utils.py): support cost calculation for gemini-2.5-pro above 200k tokens

Fixes https://github.com/BerriAI/litellm/issues/9807

* build: test dockerfile change

* build: revert apk change

* ci(config.yml): pip install wheel

* ci: test problematic package first

* ci(config.yml): pip install only binary

* ci: try more things

* ci: test different ml_dtypes version

* ci(config.yml): check ml_dtypes==0.4.0

* ci: test

* ci: cleanup config.yml

* ci: specify ml dtypes in requirements.txt

* ci: remove redisvl depedency (temporary)

* fix: fix linting errors

* test: update test

* test: fix test
2025-04-09 18:48:43 -07:00
..
audio_utils (Refactor) - Re use litellm.completion/litellm.embedding etc for health checks (#7455) 2024-12-28 18:38:54 -08:00
llm_cost_calc Cost tracking for gemini-2.5-pro (#9837) 2025-04-09 18:48:43 -07:00
llm_response_utils Add inference providers support for Hugging Face (#8258) (#9738) (#9773) 2025-04-05 10:50:15 -07:00
prompt_templates VertexAI non-jsonl file storage support (#9781) 2025-04-09 14:01:48 -07:00
specialty_caches Fix team-based logging to langfuse + allow custom tokenizer on /token_counter endpoint (#7493) 2024-12-31 23:18:41 -08:00
tokenizers Code Quality Improvement - remove tokenizers/ from /llms (#7163) 2024-12-10 23:50:15 -08:00
asyncify.py (core sdk fix) - fix fallbacks stuck in infinite loop (#7751) 2025-01-13 19:34:34 -08:00
core_helpers.py build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -07:00
credential_accessor.py fix(router.py): support reusable credentials via passthrough router (#9758) 2025-04-04 18:40:14 -07:00
dd_tracing.py (Bug fix) - don't log messages in model_parameters in StandardLoggingPayload (#8932) 2025-03-01 13:39:45 -08:00
default_encoding.py build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -07:00
dot_notation_indexing.py feat(handle_jwt.py): initial commit adding custom RBAC support on jwt… (#8037) 2025-01-28 16:27:06 -08:00
duration_parser.py (Bug Fix + Better Observability) - BudgetResetJob: (#8562) 2025-02-15 16:13:08 -08:00
exception_mapping_utils.py exception_type 2025-03-13 20:09:32 -07:00
fallback_utils.py LiteLLM Minor Fixes & Improvements (2024/16/01) (#7826) 2025-01-17 20:59:21 -08:00
get_litellm_params.py VertexAI non-jsonl file storage support (#9781) 2025-04-09 14:01:48 -07:00
get_llm_provider_logic.py Squashed commit of the following: (#9709) 2025-04-02 21:24:54 -07:00
get_model_cost_map.py Doc updates + management endpoint fixes (#8138) 2025-01-30 22:56:41 -08:00
get_supported_openai_params.py Allow passing thinking param to litellm proxy via client sdk + Code QA Refactor on get_optional_params (get correct values) (#9386) 2025-04-07 21:04:11 -07:00
health_check_utils.py (Refactor) - Re use litellm.completion/litellm.embedding etc for health checks (#7455) 2024-12-28 18:38:54 -08:00
initialize_dynamic_callback_params.py Fix team-based logging to langfuse + allow custom tokenizer on /token_counter endpoint (#7493) 2024-12-31 23:18:41 -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 Realtime API Cost tracking (#9795) 2025-04-07 16:43:12 -07:00
llm_request_utils.py Revert "test_completion_mistral_api_mistral_large_function_call" 2025-01-17 07:20:46 -08:00
logging_callback_manager.py get_custom_loggers_for_type 2025-03-19 16:36:41 -07:00
logging_utils.py fix(streaming_handler.py): emit deep copy of completed chunk 2025-03-17 17:26:21 -07:00
mock_functions.py Ensure base_model cost tracking works across all endpoints (#7989) 2025-01-24 21:05:26 -08:00
model_param_helper.py build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -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 Realtime API Cost tracking (#9795) 2025-04-07 16:43:12 -07:00
redact_messages.py build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -07:00
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
safe_json_dumps.py Add recursion depth to convert_anyof_null_to_nullable, constants.py. Fix recursive_detector.py raise error state 2025-03-28 13:11:19 -07:00
sensitive_data_masker.py build(pyproject.toml): add new dev dependencies - for type checking (#9631) 2025-03-29 11:02:13 -07:00
streaming_chunk_builder_utils.py LiteLLM Minor Fixes & Improvements (04/02/2025) (#9725) 2025-04-03 11:48:52 -07:00
streaming_handler.py Add inference providers support for Hugging Face (#8258) (#9738) (#9773) 2025-04-05 10:50:15 -07:00
thread_pool_executor.py (Fixes) OpenAI Streaming Token Counting + Fixes usage track when litellm.turn_off_message_logging=True (#8156) 2025-01-31 15:06:37 -08:00
token_counter.py Squashed commit of the following: (#9709) 2025-04-02 21:24:54 -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"