Update OpenAI model components #4024
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…l.py - Implement various test cases to validate the functionality of build_model_from_schema. - Test cases cover scenarios such as handling valid and empty schemas, managing unknown field types, and processing schemas with missing optional keys. - Ensure proper handling of nested list and dict types, and verify the function's efficiency with large schemas. - Confirm that the function raises exceptions for invalid input and handles duplicate field names correctly.
- Refactor `OpenAIModelComponent` to use `TableInput` for `output_schema` and integrate `build_model_from_schema`. - Modify `HierarchicalCrewComponent` to use unpacking for base inputs. - Ensure consistent import statements across JSON files. - Improve error handling and logging for vector store operations.
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I'm assuming this also applies to this PR |
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It could but I'm considering something different. I'll push it as soon as I can. I'm considering building a component that builds the structured output using an llm. |
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OpenAIModelComponentto useTableInputforoutput_schemaand integratebuild_model_from_schema.HierarchicalCrewComponentto use unpacking for base inputs.