- Added a new proxy function to manage runtime authentication types and set cookies accordingly.
- Introduced runtime authentication configuration to dynamically adjust UI based on the selected auth type.
- Updated global styles to hide specific authentication buttons based on the current auth type.
- Refactored sign-in button and hero section components to utilize the new runtime authentication logic.
- Created a new utility file for runtime authentication configuration and initialization script.
- Updated the MarkdownTextPrimitive component to enable smooth rendering by default.
- Adjusted the props to streamline the rendering process for improved user experience.
- Introduced a new endpoint to check the existence of a global LLM configuration file.
- Updated the frontend to utilize this status, affecting onboarding flow and user experience.
- Added necessary atoms and types for managing global LLM config status in the application state.
- Refactored navigation to ensure proper routing based on the global config status.
- Updated .env.example to include new environment variables for Google authentication and global announcement settings.
- Integrated Google sign-in functionality in SignInButton and HeroSection components, allowing users to log in with their Google accounts.
- Added GlobalAnnouncement component to display maintenance notices or announcements on the homepage layout.
- Enhanced styling for Google sign-in buttons to improve user experience.
- Reduced maximum document size for the editor from 5MB to 1MB.
- Introduced a new line limit of 5000 for documents in the editor.
- Implemented a PlateErrorBoundary component to handle rendering errors gracefully in the editor panel.
- Updated logic in the editor panel to check both size and line count for document limits.
- Introduced LLMErrorCategory and adapt_llm_exception to normalize LLM exceptions.
- Updated llm_retryable_message and llm_permanent_message to utilize the new adaptation logic.
- Enhanced classify_stream_exception to classify provider errors and return user-friendly messages.
- Added tests for error classification and adaptation to ensure robustness.
- Updated frontend error handling to display appropriate messages based on new classifications.
