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* fix(o_series_transformation.py): add 'reasoning_effort' as o series model param Closes https://github.com/BerriAI/litellm/issues/8182 * fix(main.py): ensure `reasoning_effort` is a mapped openai param * refactor(azure/): rename o1_[x] files to o_series_[x] * refactor(base_llm_unit_tests.py): refactor testing for o series reasoning effort * test(test_azure_o_series.py): have azure o series tests correctly inherit from base o series model tests * feat(base_utils.py): support translating 'developer' role to 'system' role for non-openai providers Makes it easy to switch from openai to anthropic * fix: fix linting errors * fix(base_llm_unit_tests.py): fix test * fix(main.py): add missing param |
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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 | ||
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"