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* test(test_anthropic_completion.py): add test ensuring anthropic structured output response is consistent Resolves https://github.com/BerriAI/litellm/issues/8291 * feat(anthropic.py): support citations api with new user document message format Resolves https://github.com/BerriAI/litellm/issues/7970 * fix(anthropic/chat/transformation.py): return citations as a provider-specific-field Resolves https://github.com/BerriAI/litellm/issues/7970 * feat(anthropic/chat/handler.py): add streaming citations support Resolves https://github.com/BerriAI/litellm/issues/7970 * fix(handler.py): fix code qa error * fix(handler.py): only set provider specific fields if non-empty dict * docs(anthropic.md): add citations api to anthropic docs |
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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 | ||
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"