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* fix(factory.py): pass on anthropic thinking content from assistant call * fix(factory.py): fix anthropic messages to handle thinking blocks Fixes https://github.com/BerriAI/litellm/issues/8961 * fix(factory.py): fix bedrock handling for assistant content in messages Fixes https://github.com/BerriAI/litellm/issues/8961 * feat(convert_dict_to_response.py): handle reasoning content + thinking blocks in chat completion block ensures caching works for anthropic thinking block * fix(convert_dict_to_response.py): pass all message params to delta block ensures streaming delta also contains the reasoning content / thinking block * test(test_prompt_factory.py): remove redundant test anthropic now supports assistant as the first message * fix(factory.py): fix linting errors * fix: fix code qa * test: remove falsy test * fix(litellm_logging.py): fix str conversion |
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| .. | ||
| audio_utils | ||
| llm_cost_calc | ||
| llm_response_utils | ||
| prompt_templates | ||
| specialty_caches | ||
| tokenizers | ||
| asyncify.py | ||
| core_helpers.py | ||
| dd_tracing.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 | ||
| model_param_helper.py | ||
| README.md | ||
| realtime_streaming.py | ||
| redact_messages.py | ||
| response_header_helpers.py | ||
| rules.py | ||
| safe_json_dumps.py | ||
| sensitive_data_masker.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"