- Add canvas.ts MCP tool with validate_canvas_intent, execute_canvas_intent, interpret_canvas_intent - Add useCanvasChat.ts bridge hook connecting canvas to chat system - Update context_builder.py with canvas tool instructions - Add ExecuteDialog for study name input - Add ChatPanel for canvas-integrated Claude responses - Connect AtomizerCanvas to Claude via useCanvasChat Canvas workflow now: 1. Build graph visually 2. Click Validate/Analyze/Execute 3. Claude processes intent via MCP tools 4. Response shown in integrated chat panel Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
8.6 KiB
8.6 KiB