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https://github.com/BerriAI/litellm.git
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* refactor(ollama/): refactor ollama `/api/generate` to use base llm config Addresses https://github.com/andrewyng/aisuite/issues/113#issuecomment-2512369132 * test: skip unresponsive test * test(test_secret_manager.py): mark flaky test * test: fix google sm test * fix: fix init.py |
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.. | ||
audio_utils | ||
llm_cost_calc | ||
llm_response_utils | ||
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"