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* fix(azure/chat/gpt_transformation.py): support api_version="preview" Fixes https://github.com/BerriAI/litellm/issues/12945 * Fix anthropic passthrough logging handler model fallback for streaming requests (#13022) * fix: anthropic passthrough logging handler model fallback for streaming requests - Add fallback logic to retrieve model from logging_obj.model_call_details when request_body.model is empty - Fixes issue #12933 where streaming requests to anthropic passthrough endpoints would crash due to missing model field - Ensures downstream logging and cost calculation work correctly for all streaming scenarios - Maintains backwards compatibility with existing non-streaming requests * test: add minimal tests for anthropic passthrough logging handler model fallback - Add unit tests for the model fallback logic in _handle_logging_anthropic_collected_chunks - Test existing behavior when request_body.model is present - Test fallback logic when request_body.model is empty but logging_obj.model_call_details has model - Test edge cases where both sources are empty or missing - Ensure backwards compatibility and graceful degradation * fix(anthropic_passthrough_logging_handler.py): add provider to model name (accurate cost tracking) * fix(anthropic_passthrough_logging_handler.py): don't reset custom llm provider, if already set * fix: fix check --------- Co-authored-by: Haggai Shachar <haggai.shachar@backline.ai> |
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| .. | ||
| base_anthropic_unified_messages_test.py | ||
| test_anthropic_messages_passthrough.py | ||
| test_assemblyai_unit_tests_passthrough.py | ||
| test_custom_logger_passthrough.py | ||
| test_pass_through_unit_tests.py | ||
| test_unit_test_anthropic_pass_through.py | ||
| test_unit_test_passthrough_router.py | ||
| test_unit_test_streaming.py | ||