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* fix: support azure o3 model family for fake streaming workaround (#8162) * fix: support azure o3 model family for fake streaming workaround * refactor: rename helper to is_o_series_model for clarity * update function calling parameters for o3 models (#8178) * refactor(o1_transformation.py): refactor o1 config to be o series config, expand o series model check to o3 ensures max_tokens is correctly translated for o3 * feat(openai/): refactor o1 files to be 'o_series' files expands naming to cover o3 * fix(azure/chat/o1_handler.py): azure openai is an instance of openai - was causing resets * test(test_azure_o_series.py): assert stream faked for azure o3 mini Resolves https://github.com/BerriAI/litellm/pull/8162 * fix(o1_transformation.py): fix o1 transformation logic to handle explicit o1_series routing * docs(azure.md): update doc with `o_series/` model name --------- Co-authored-by: byrongrogan <47910641+byrongrogan@users.noreply.github.com> Co-authored-by: Low Jian Sheng <15527690+lowjiansheng@users.noreply.github.com> |
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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 | ||
| 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"