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2eee7f978f
* feat(lowest_tpm_rpm_v2.py): fix redis cache check to use >= instead of > makes it consistent * test(test_custom_guardrails.py): add more unit testing on default on guardrails ensure it runs if user sent guardrail list is empty * docs(quick_start.md): clarify default on guardrails run even if user guardrails list contains other guardrails * refactor(litellm_logging.py): refactor no-log to helper util allows for more consistent behavior * feat(litellm_logging.py): add event hook to verbose logs * fix(litellm_logging.py): add unit testing to ensure `litellm.disable_no_log_param` is respected * docs(logging.md): document how to disable 'no-log' param * test: fix test to handle feb * test: cleanup old bedrock model * fix: fix router check |
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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_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"