Add proxy endpoints to Cloudflare Worker for AI services, keeping
API credentials server-side for better security architecture.
Changes:
- Add fal.ai proxy endpoints (/api/fal/*) for image generation
- Add RunPod proxy endpoints (/api/runpod/*) for image, video, text, whisper
- Update client code to use proxy pattern:
- useLiveImage.tsx (fal.ai live image generation)
- VideoGenShapeUtil.tsx (video generation)
- ImageGenShapeUtil.tsx (image generation)
- runpodApi.ts (whisper transcription)
- llmUtils.ts (LLM text generation)
- Add Environment types for AI service configuration
- Improve Automerge migration: compare shape counts between formats
to prevent data loss during format conversion
To deploy, set secrets:
wrangler secret put FAL_API_KEY
wrangler secret put RUNPOD_API_KEY
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Videos from fal.media were causing "Tainted canvases may not be exported"
errors when tldraw tried to capture screenshots/exports. Adding crossOrigin="anonymous"
allows the browser to request the video with CORS headers.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add fal.ai configuration to clientConfig.ts with default API key
- Update VideoGenShapeUtil to use fal.ai WAN 2.1 endpoints
- I2V mode uses fal-ai/wan-i2v, T2V mode uses fal-ai/wan-t2v
- Much faster startup time (no cold start) vs RunPod
- Processing time reduced from 2-6 min to 30-90 seconds
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add useMaximize hook to all shapes using StandardizedToolWrapper:
- MapShapeUtil, MultmuxShapeUtil, MarkdownShapeUtil
- ObsNoteShapeUtil, ImageGenShapeUtil, VideoGenShapeUtil
- HolonShapeUtil, PromptShapeUtil, EmbedShapeUtil
- FathomMeetingsBrowserShapeUtil, FathomNoteShapeUtil
- HolonBrowserShapeUtil, ObsidianBrowserShapeUtil
- TranscriptionShapeUtil, VideoChatShapeUtil
All tools now have maximize/fullscreen functionality via the
standardized header bar.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add pin functionality to ImageGen and VideoGen shapes
- Refactor ImageGen to use StandardizedToolWrapper with tags support
- Update StandardizedToolWrapper: grey tags, fix button overlap, improve header drag
- Fix index validation in AutomergeToTLStore for old format indices
- Update wrangler.toml with latest compatibility date and RunPod endpoint docs
- Refactor VideoGen to use captured editor reference for consistency
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Co-Authored-By: Claude <noreply@anthropic.com>
Video generation on RunPod can take significant time:
- GPU cold start: 30-120 seconds
- Model loading: 30-60 seconds
- Generation: 60-180 seconds
Increased polling timeout from 4 to 6 minutes and updated UI
to set proper expectations for users.
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Co-Authored-By: Claude <noreply@anthropic.com>
Holon Shape Improvements:
- Add H3 cell ID validation before connecting to Holosphere
- Extract coordinates and resolution from H3 cell IDs automatically
- Improve data rendering with proper lens/item structure display
- Add "Generate H3 Cell" button for quick cell ID creation
- Update placeholders and error messages for H3 format
- Fix HolonBrowser validation and placeholder text
Geometry Error Fix:
- Add try-catch in ClickPropagator.eventHandler for shapes with invalid paths
- Add try-catch in CmdK for getShapesAtPoint geometry errors
- Prevents "No nearest point found" crashes from corrupted draw/line shapes
Offline Persistence:
- Add IndexedDB storage adapter for Automerge documents
- Implement document ID mapping for room persistence
- Merge local and server data on reconnection
- Support offline editing with automatic sync
Other Changes:
- Update .env.example with Ollama and RunPod configuration
- Add multmux Docker configuration files
- UI styling improvements for toolbar and share zone
- Remove auto-creation of MycelialIntelligence shape (now permanent UI bar)
- Various shape utility minor fixes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add RunPod config helpers for image, video, text, whisper endpoints
- Update VideoGenShapeUtil to call RunPod video endpoint directly
- Add Ollama URL config for local LLM support
- Remove dependency on AI orchestrator backend (not yet built)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add VideoGenShapeUtil with StandardizedToolWrapper for consistent UI
- Add VideoGenTool for canvas video generation
- Add AI Orchestrator client library for smart routing to RS 8000/RunPod
- Register new shapes and tools in Board.tsx
- Add deployment guides and migration documentation
- Ollama deployed on Netcup RS 8000 at 159.195.32.209:11434
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Co-Authored-By: Claude <noreply@anthropic.com>
Jeff Emmett