- Expanded the AI pipeline to support video generation, including the addition of `video-prompt` and `ai-video` node types.
- Updated connection policies to validate interactions between new video nodes and existing node types.
- Enhanced logging and error handling for video generation processes, including detailed polling strategies and response formats.
- Updated documentation to reflect new node types, their functionalities, and integration details within the canvas and backend systems.
- Ensured synchronization between client-side and backend model definitions for both image and video generation.
- Introduced a new node type "video-prompt" for AI video generation, including its integration into the canvas command palette and node template picker.
- Updated connection validation to allow connections from text nodes to video-prompt and from video-prompt to ai-video nodes.
- Enhanced error handling and messaging for video generation failures, including specific cases for provider issues.
- Added tests to validate new video-prompt functionality and connection policies.
- Updated localization files to include new labels and prompts for video-prompt and ai-video nodes.
- Updated version from v1.5 to v2.0 in both the LemonSpace Manifest and PRD documents.
- Expanded Phase 1 scope to include video and asset nodes, and integrated non-destructive image editing capabilities.
- Enhanced node taxonomy to reflect 6 categories with 27 node types.
- Added details on offline sync features and optimistic updates in the documentation.
- Improved clarity and structure of the product vision and problem statement sections.
- Introduced a new `CanvasPresetsProvider` to manage adjustment presets for nodes, enhancing state management and reducing reactivity.
- Updated storage URL resolution to utilize a mutation instead of a reactive query, improving performance and reducing unnecessary re-renders.
- Refactored adjustment nodes (color-adjust, curves, detail-adjust, light-adjust) to use the new preset context for fetching user presets.
- Improved overall canvas functionality by streamlining storage ID collection and URL resolution processes.
- Replaced SliderRow components with ParameterSlider in color-adjust, curves, detail-adjust, and light-adjust nodes for improved user interaction.
- Updated minimum width and height configurations for adjustment nodes to accommodate new slider designs.
- Enhanced node templates and default dimensions to reflect the changes in adjustment node sizes.
- Improved state management and data handling for slider values in adjustment nodes.
- Updated sign-in and sign-up pages to allow users to log in with either email or username.
- Added social login options for Google and Apple, currently implemented as placeholders.
- Improved error handling with localized messages for authentication failures.
- Refactored input fields and validation logic to enhance user experience and accessibility.
- Introduced new functions for validating canvas connections, ensuring proper source and target node types.
- Updated edge and node mutation logic to enforce connection policies and improve error handling.
- Enhanced image resolution handling by integrating a new image source resolution function for better URL retrieval.
- Refactored existing validation logic to streamline connection checks and improve maintainability.
- Added a fallback mechanism for resolving storage URLs in `canvas-helpers.ts`, improving reliability when URLs are not directly available.
- Introduced new utility functions in `canvas.tsx` for summarizing update and resize payloads, enhancing debugging capabilities during canvas operations.
- Updated `compare-node.tsx` to improve state management and rendering logic, allowing for better handling of incoming edges and display modes.
- Refactored `render-node.tsx` to streamline the rendering process and include detailed logging for debugging render operations.
- Updated `.gitignore` to exclude `.kilo` files, ensuring cleaner repository management.
