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2fc9753673
* fix latency calc * feat: add timing context management to AIModel for latency tracking - Introduced a new TimingContextRaceConditionError to handle race conditions in multi-threaded environments. - Implemented a timing_context method in AIModel to track request timing and prevent concurrent usage. - Updated various model classes (LargeLanguageModel, ModerationModel, RerankModel, Speech2TextModel, TextEmbeddingModel, TTSModel) to utilize the new timing context for latency calculations. - Added tests to validate timing context behavior under concurrent and sequential usage scenarios. * feat: implement ModelFactory for dynamic model instance creation - Added ModelFactory class to generate stateless model instances based on provider configurations and model classes. - Updated PluginRegistration to utilize ModelFactory for managing model instances, enhancing code organization and maintainability. * feat: add unit tests for model registry and mock model provider - Introduced a new test file for validating model registry functionality. - Implemented mock classes for model provider and LLM to facilitate testing. - Added tests to ensure correct model instance retrieval from the registry. * apply ruff --------- Co-authored-by: Yeuoly <admin@srmxy.cn>
7 lines
166 B
Python
7 lines
166 B
Python
class TimingContextRaceConditionError(RuntimeError):
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"""
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Error raised when AIModel.timing_context is started in multi-threaded environment.
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"""
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pass
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