mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-26 03:04:13 +00:00
36308a31be
* build(model_prices_and_context_window.json): add vertex ai gemini-2.5-flash pricing * build(model_prices_and_context_window.json): add gemini reasoning token pricing * fix(vertex_and_google_ai_studio_gemini.py): support counting thinking tokens for gemini allows accurate cost calc * fix(utils.py): add reasoning token cost calc to generic cost calc ensures gemini-2.5-flash cost calculation is accurate * build(model_prices_and_context_window.json): mark gemini-2.5-flash as 'supports_reasoning' * feat(gemini/): support 'thinking' + 'reasoning_effort' params + new unit tests allow controlling thinking effort for gemini-2.5-flash models * test: update unit testing * feat(vertex_and_google_ai_studio_gemini.py): return reasoning content if given in gemini response * test: update model name * fix: fix ruff check * test(test_spend_management_endpoints.py): update tests to be less sensitive to new keys / updates to usage object * fix(vertex_and_google_ai_studio_gemini.py): fix translation |
||
|---|---|---|
| .. | ||
| 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"