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b6f2e659b9
* add track_llm_api_timing * add track_llm_api_timing * test_litellm_overhead * use ResponseMetadata class for setting hidden params and response overhead * instrument http handler * fix track_llm_api_timing * track_llm_api_timing * emit response overhead on hidden params * fix resp metadata * fix make_sync_openai_embedding_request * test_aaaaatext_completion_endpoint fixes * _get_value_from_hidden_params * set_hidden_params * test_litellm_overhead * test_litellm_overhead * test_litellm_overhead * fix import * test_litellm_overhead_stream * add LiteLLMLoggingObject * use diff folder for testing * use diff folder for overhead testing * test litellm overhead * use typing * clear typing * test_litellm_overhead * fix async_streaming * update_response_metadata * move test file * pply metadata to the response objec |
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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 | ||
| duration_parser.py | ||
| exception_mapping_utils.py | ||
| fallback_utils.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_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"