- Added support for new canvas node types: curves, color-adjust, light-adjust, detail-adjust, and render.
- Implemented validation for adjustment nodes to restrict incoming edges to one.
- Updated canvas connection validation to improve user feedback on invalid connections.
- Enhanced node creation and rendering logic to accommodate new node types and their properties.
- Refactored related components and utilities for better maintainability and performance.
- Implemented fullscreen output functionality for AI image and image nodes, allowing users to view images in a larger format.
- Added a dialog component for displaying images in fullscreen mode, including a close button.
- Enhanced text nodes with a rich text editor, enabling quick formatting options such as bold, italic, headings, lists, and links.
- Updated base node wrapper to support toolbar actions for both image and text nodes, improving user interaction.
- Added functionality to block node deletion based on synchronization status with Convex, providing user feedback through toast notifications.
- Introduced helper functions to determine reasons for blocking deletions, enhancing user experience during canvas interactions.
- Updated asset node styling to improve visual consistency and adjusted minimum dimensions for asset nodes to ensure better layout management.
- Implemented visual feedback and cursor changes for scissors mode in dark and light themes, improving user interaction during edge manipulation.
- Updated node template picker to include new keywords for AI image generation, enhancing searchability.
- Renamed and categorized node types for clarity, including updates to asset and prompt nodes.
- Added support for video nodes and adjusted related components for improved media handling on the canvas.
- Added a new mutation to create nodes connected to existing nodes, improving the canvas interaction model.
- Updated the CanvasPlacementContext to include createNodeConnectedFromSource, allowing for seamless node connections.
- Refactored the PromptNode component to utilize the new connection method, enhancing the workflow for AI image generation.
- Introduced optimistic updates for immediate UI feedback during node creation and connection processes.
- Added clientRequestId to various canvas components to support optimistic UI updates during node creation and manipulation.
- Updated the canvas command palette, toolbar, and node components to generate unique clientRequestIds for better tracking of user actions.
- Enhanced the canvas placement context to handle clientRequestId for improved correlation between optimistic and real node IDs.
- Refactored node duplication and creation logic to utilize clientRequestId, ensuring smoother user interactions and state management.
- Introduced the cmdk package for improved command palette capabilities.
- Enhanced the canvas placement context to support creating nodes with edge splitting, allowing for more dynamic node interactions.
- Updated the canvas inner component to utilize optimistic updates for node creation, improving user experience during interactions.
- Refactored node handling logic to incorporate new mutation types and streamline data management.
- Added client mount state to the dashboard to prevent premature interactions before the component is fully loaded.
- Updated button disabling logic to ensure it reflects the component's readiness and user session state.
- Introduced zIndex handling in canvas placement context for better node layering.
- Enhanced asset and image nodes with improved resizing logic to maintain aspect ratios during adjustments.
- Refactored node components to streamline rendering and improve performance during dynamic updates.
- Replaced individual node removal with a batch removal mutation to improve performance and user experience.
- Introduced optimistic UI updates to prevent flickering during node deletions.
- Enhanced edge reconnection logic to automatically handle edges associated with deleted nodes.
- Updated asset and image node components to support new metrics tracking for better diagnostics.
- Refactored node resizing logic to ensure consistent behavior during drag-and-drop operations.
- Added state management for asset selection to prevent multiple simultaneous selections.
- Implemented request sequence tracking to ensure accurate loading state handling during asset searches.
- Enhanced error handling and user feedback for asset loading failures.
- Updated UI elements to improve accessibility and user experience during asset browsing.
- Integrated retry logic for AI image generation to handle transient errors and improve user experience.
- Updated error categorization to provide more informative feedback based on different failure scenarios.
- Enhanced node components to display retry attempts and error messages, improving visibility during image generation failures.
- Refactored canvas and node components to include retry count in status updates, ensuring accurate tracking of generation attempts.
- Added remote image patterns to the Next.js configuration for enhanced image handling.
- Updated TypeScript configuration to exclude the 'implement' directory.
- Refactored layout component to fetch initial authentication token and pass it to Providers.
- Replaced CanvasToolbar with CanvasSidebar for improved UI layout and functionality.
- Enhanced Canvas component with new drag-and-drop file upload capabilities and batch node movement.
- Updated various node components to support new status handling and improved user interactions.
- Added debounced saving for note and prompt nodes to optimize performance.
