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* feat(anthropic/chat/transformation.py): add anthropic thinking param support * feat(anthropic/chat/transformation.py): support returning thinking content for anthropic on streaming responses * feat(anthropic/chat/transformation.py): return list of thinking blocks (include block signature) allows usage in tool call responses * fix(types/utils.py): extract and map reasoning_content from anthropic as content str * test: add testing to ensure thinking_blocks are returned at the root * fix(anthropic/chat/handler.py): return thinking blocks on streaming - include signature * feat(factory.py): handle anthropic thinking blocks translation if in assistant response * test: handle openai internal instability * test: handle openai audio instability * ci: pin anthropic dep * test: handle openai audio instability * fix: fix linting error * refactor(anthropic/chat/transformation.py): refactor function to remain <50 LOC * fix: fix linting error * fix: fix linting error * fix: fix linting error * fix: fix linting error |
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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 | ||
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"