- Enhanced Azure Document Intelligence parser to raise an error for empty or whitespace-only content.
- Updated LLMRouterService to log premium model strings more clearly.
- Added automatic encoding detection for file reading in document processors.
- Improved error handling for empty markdown content extraction in file processors.
- Refactored DocumentUploadTab component for better accessibility and user interaction.
- Introduced a `ProcessingMode` enum to differentiate between basic and premium processing modes.
- Updated `EtlRequest` to include a `processing_mode` field, defaulting to basic.
- Enhanced ETL pipeline services to utilize the selected processing mode for Azure Document Intelligence and LlamaCloud parsing.
- Modified various routes and services to handle processing mode, affecting document upload and indexing tasks.
- Improved error handling and logging to include processing mode details.
- Added tests to validate processing mode functionality and its impact on ETL operations.
- Changed the button element to a div with role="button" to enhance keyboard accessibility.
- Updated event handling for click and keydown events to ensure consistent behavior across devices.
- Maintained existing styling and functionality while improving semantic structure.
- Updated the development script to include a build step before launching the app.
- Refactored the registration of quick ask and autocomplete functionalities to be asynchronous, ensuring proper initialization.
- Introduced IPC channels for getting and setting keyboard shortcuts, allowing users to customize their experience.
- Enhanced the platform module to support better interaction with the Electron API for clipboard operations.
- Improved the user interface for managing keyboard shortcuts in the settings dialog, providing a more intuitive experience.
Store the progress setInterval ID in a ref and clear it in a
useEffect cleanup. Previously the interval was stored in a local
variable and only cleared in onSuccess/onError callbacks, leaking
if the component unmounted mid-upload.
Fixes#1090
- Updated maximum file size limit to 500 MB per file.
- Removed restrictions on the number of files per upload and total upload size.
- Enhanced handling of user-mentioning documents in the knowledge base search middleware.
- Improved document reading and processing logic to accommodate new features and optimizations.
- Increased maximum file upload limit from 10 to 50 to improve user experience.
- Implemented batch processing for document uploads to avoid proxy timeouts, splitting files into manageable chunks.
- Enhanced garbage collection in chat streaming functions to prevent memory leaks and improve performance.
- Added memory delta tracking in system snapshots for better monitoring of resource usage.
- Updated LLM router and service configurations to prevent unbounded internal accumulation and improve efficiency.
- Replaced direct embedding calls with a utility function across various components to streamline embedding logic.
- Added enable_summary flag to several models and routes to control summary generation behavior.
