mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-27 11:43:54 +00:00
b43b8dc21c
* fix(core_helpers.py): handle litellm_metadata instead of 'metadata' * feat(batches/): ensure batches logs are written to db makes batches response dict compatible * fix(cost_calculator.py): handle batch response being a dictionary * fix(batches/main.py): modify retrieve endpoints to use @client decorator enables logging to work on retrieve call * fix(batches/main.py): fix retrieve batch response type to be 'dict' compatible * fix(spend_tracking_utils.py): send unique uuid for retrieve batch call type create batch and retrieve batch share the same id * fix(spend_tracking_utils.py): prevent duplicate retrieve batch calls from being double counted * refactor(batches/): refactor cost tracking for batches - do it on retrieve, and within the established litellm_logging pipeline ensures cost is always logged to db * fix: fix linting errors * fix: fix linting error |
||
|---|---|---|
| .. | ||
| audio_utils | ||
| llm_cost_calc | ||
| llm_response_utils | ||
| prompt_templates | ||
| specialty_caches | ||
| tokenizers | ||
| asyncify.py | ||
| core_helpers.py | ||
| dd_tracing.py | ||
| default_encoding.py | ||
| dot_notation_indexing.py | ||
| duration_parser.py | ||
| exception_mapping_utils.py | ||
| fallback_utils.py | ||
| get_litellm_params.py | ||
| get_llm_provider_logic.py | ||
| get_model_cost_map.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_callback_manager.py | ||
| logging_utils.py | ||
| mock_functions.py | ||
| model_param_helper.py | ||
| README.md | ||
| realtime_streaming.py | ||
| redact_messages.py | ||
| response_header_helpers.py | ||
| rules.py | ||
| safe_json_dumps.py | ||
| sensitive_data_masker.py | ||
| streaming_chunk_builder_utils.py | ||
| streaming_handler.py | ||
| thread_pool_executor.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"