mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-27 03:34:10 +00:00
* fix(converse_transformation.py): add performanceConfig param support on bedrock Closes https://github.com/BerriAI/litellm/issues/7606 * fix(converse_transformation.py): refactor to use more flexible single getter for params which are separate config blocks * test(test_main.py): add e2e mock test for bedrock performance config * build(model_prices_and_context_window.json): add versioned multimodal embedding * refactor(multimodal_embeddings/): migrate to config pattern * feat(vertex_ai/multimodalembeddings): calculate usage for multimodal embedding calls Enables cost calculation for multimodal embeddings * feat(vertex_ai/multimodalembeddings): get usage object for embedding calls ensures accurate cost tracking for vertexai multimodal embedding calls * fix(embedding_handler.py): remove unused imports * fix: fix linting errors * fix: handle response api usage calculation * test(test_vertex_ai_multimodal_embedding_transformation.py): update tests * test: mark flaky test * feat(vertex_ai/multimodal_embeddings/transformation.py): support text+image+video input * docs(vertex.md): document sending text + image to vertex multimodal embeddings * test: remove incorrect file * fix(multimodal_embeddings/transformation.py): fix linting error * style: remove unused import |
||
---|---|---|
.. | ||
audio_utils | ||
llm_cost_calc | ||
llm_response_utils | ||
prompt_templates | ||
specialty_caches | ||
tokenizers | ||
asyncify.py | ||
core_helpers.py | ||
credential_accessor.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"