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* feat: enhance OpenAICompletion class with additional client parameters - Added support for default_headers, default_query, and client_params in the OpenAICompletion class. - Refactored client initialization to use a dedicated method for client parameter retrieval. - Introduced new test cases to validate the correct usage of OpenAICompletion with various parameters. * fix: correct test case for unsupported OpenAI model - Updated the test_openai.py to ensure that the LLM instance is created before calling the method, maintaining proper error handling for unsupported models. - This change ensures that the test accurately checks for the NotFoundError when an invalid model is specified. * fix: enhance error handling in OpenAICompletion class - Added specific exception handling for NotFoundError and APIConnectionError in the OpenAICompletion class to provide clearer error messages and improve logging. - Updated the test case for unsupported models to ensure it raises a ValueError with the appropriate message when a non-existent model is specified. - This change improves the robustness of the OpenAI API integration and enhances the clarity of error reporting. * fix: improve test for unsupported OpenAI model handling - Refactored the test case in test_openai.py to create the LLM instance after mocking the OpenAI client, ensuring proper error handling for unsupported models. - This change enhances the clarity of the test by accurately checking for ValueError when a non-existent model is specified, aligning with recent improvements in error handling for the OpenAICompletion class.
228 lines
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228 lines
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