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* Litellm dev 01 29 2025 p4 (#8107) * fix(key_management_endpoints.py): always get db team Fixes https://github.com/BerriAI/litellm/issues/7983 * test(test_key_management.py): add unit test enforcing check_db_only is always true on key generate checks * test: fix test * test: skip gemini thinking * Litellm dev 01 29 2025 p3 (#8106) * fix(__init__.py): reduces size of __init__.py and reduces scope for errors by using correct param * refactor(__init__.py): refactor init by cleaning up redundant params * refactor(__init__.py): move more constants into constants.py cleanup root * refactor(__init__.py): more cleanup * feat(__init__.py): expose new 'disable_hf_tokenizer_download' param enables hf model usage in offline env * docs(config_settings.md): document new disable_hf_tokenizer_download param * fix: fix linting error * fix: fix unsafe comparison * test: fix test * docs(public_teams.md): add doc showing how to expose public teams for users to join * docs: add beta disclaimer on public teams * test: update tests |
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.. | ||
audio_utils | ||
llm_cost_calc | ||
llm_response_utils | ||
prompt_templates | ||
specialty_caches | ||
tokenizers | ||
asyncify.py | ||
core_helpers.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 | ||
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"