- Updated the Assistant struct to include a vision capability flag and an init hook indicator, allowing for better management of vision-enabled functionalities.
- Refactored message handling throughout the assistant methods to utilize the chatMessage package, improving consistency and type safety.
- Enhanced the handleVision method to support dynamic vision processing options, including improved handling of image descriptions and uploads.
- Streamlined the requestMessages and withAttachments methods to better accommodate vision capabilities, ensuring proper integration with image handling.
- Improved the initialize method to check for vision support based on the model, enhancing the assistant's adaptability.
These changes improve the robustness and maintainability of the Neo API, paving the way for enhanced assistant functionalities and better integration of vision capabilities.
- Updated the TestUpload and TestUploadWithRAG functions to remove unnecessary parameters and improve clarity.
- Enhanced RAG handling by adding options for enabling/disabling RAG processing during file uploads.
- Improved test cases for RAG functionality, ensuring proper indexing behavior based on RAG settings.
- Refactored vision-related tests to include options for enabling/disabling vision processing, ensuring accurate responses based on the model capabilities.
- Streamlined the setup of test assistants to simplify the testing process.
These changes improve the maintainability and clarity of the attachment handling code, paving the way for better functionality in file uploads and processing.
- Removed obsolete file upload/download functions and related constants from the Assistant struct, streamlining the codebase.
- Updated the connector type in load tests to use "gpt-3_5-turbo" for improved compatibility with current models.
- Introduced VisionCapableModels to support a range of models with vision capabilities, enhancing AI functionality.
- Enhanced the File struct to include additional fields for description, URL, and document IDs, improving data management for file handling.
These changes improve the overall structure and maintainability of the Neo API, paving the way for future enhancements in assistant capabilities.
