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* fix(azure/chat/gpt_transformation.py): add 'prediction' as a support azure param Closes https://github.com/BerriAI/litellm/issues/8500 * build(model_prices_and_context_window.json): add new 'gemini-2.0-pro-exp-02-05' model * style: cleanup invalid json trailing commma * feat(utils.py): support passing 'tokenizer_config' to register_prompt_template enables passing complete tokenizer config of model to litellm Allows calling deepseek on bedrock with the correct prompt template * fix(utils.py): fix register_prompt_template for custom model names * test(test_prompt_factory.py): fix test * test(test_completion.py): add e2e test for bedrock invoke deepseek ft model * feat(base_invoke_transformation.py): support hf_model_name param for bedrock invoke calls enables proxy admin to set base model for ft bedrock deepseek model * feat(bedrock/invoke): support deepseek_r1 route for bedrock makes it easy to apply the right chat template to that call * feat(constants.py): store deepseek r1 chat template - allow user to get correct response from deepseek r1 without extra work * test(test_completion.py): add e2e mock test for bedrock deepseek * docs(bedrock.md): document new deepseek_r1 route for bedrock allows us to use the right config * fix(exception_mapping_utils.py): catch read operation timeout |
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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"