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c95351e70f
* fix(utils.py): default custom_llm_provider=None for 'supports_response_schema' Closes https://github.com/BerriAI/litellm/issues/7397 * refactor(langfuse/): call langfuse logger inside customlogger compatible langfuse class, refactor langfuse logger to use verbose_logger.debug instead of print_verbose * refactor(litellm_pre_call_utils.py): move config based team callbacks inside dynamic team callback logic enables simpler unit testing for config-based team callbacks * fix(proxy/_types.py): handle teamcallbackmetadata - none values drop none values if present. if all none, use default dict to avoid downstream errors * test(test_proxy_utils.py): add unit test preventing future issues - asserts team_id in config state not popped off across calls Fixes https://github.com/BerriAI/litellm/issues/6787 * fix(langfuse_prompt_management.py): add success + failure logging event support * fix: fix linting error * test: fix test * test: fix test * test: override o1 prompt caching - openai currently not working * test: fix test |
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|---|---|---|
| .. | ||
| audio_utils | ||
| llm_cost_calc | ||
| llm_response_utils | ||
| prompt_templates | ||
| tokenizers | ||
| asyncify.py | ||
| core_helpers.py | ||
| default_encoding.py | ||
| duration_parser.py | ||
| exception_mapping_utils.py | ||
| get_llm_provider_logic.py | ||
| get_supported_openai_params.py | ||
| json_validation_rule.py | ||
| litellm_logging.py | ||
| llm_request_utils.py | ||
| logging_utils.py | ||
| mock_functions.py | ||
| README.md | ||
| realtime_streaming.py | ||
| redact_messages.py | ||
| response_header_helpers.py | ||
| rules.py | ||
| streaming_chunk_builder_utils.py | ||
| streaming_handler.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"