- Improved response parsing in AICore to handle both array and dictionary formats, including detailed error logging.
- Updated image directory handling in tasks to prioritize web-accessible paths for image storage, with robust fallback mechanisms.
- Adjusted image URL generation in serializers and frontend components to support new directory structure and ensure proper accessibility.
- Introduced a new endpoint in the backend to handle bulk updates of image statuses by content ID or image IDs.
- Updated the frontend to include a new row action for updating image status and integrated a modal for status confirmation.
- Enhanced the API service to support bulk status updates and updated the images page to manage status updates effectively.
- Updated image directory handling to prioritize mounted volume for persistence.
- Enhanced logging for directory write tests and fallback mechanisms.
- Introduced a new endpoint to serve image files directly from local paths.
- Added error handling for file serving, including checks for file existence and readability.
- Updated the frontend to include a new ContentView component and corresponding route.
- Added user-friendly messages for input description, preparation, AI call, parsing, and saving phases in AIEngine.
- Updated ProgressModal to display success messages and checklist-style progress steps based on function type.
- Improved handling of step logs and current phase determination for better user experience during asynchronous tasks.
- Added support for new V2 functions: `auto_cluster_v2` and `generate_ideas_v2`, including backend logic and API endpoints.
- Updated model configuration to ensure V2 functions validate the presence of models before execution.
- Enhanced progress modal to provide better feedback during asynchronous tasks, including task IDs for debugging.
- Updated frontend components to integrate new V2 functionalities and improve user experience with clustering and idea generation.
- Improved model configuration handling in AICore to ensure only supported models are set as default.
- Added error logging for invalid model configurations and warnings for missing models.
- Implemented validation checks for the active model to provide clear error messages when no valid model is configured.
- Enhanced user feedback during AI model selection to improve debugging and configuration clarity.
- Updated AIEngine to normalize function names by replacing underscores with hyphens in generated function IDs for better consistency with frontend tracking.
- Enhanced registry to resolve function name aliases, allowing for backward compatibility with legacy function names when retrieving function instances.
