FFmpeg in Docker for transcoding, thumbnail extraction, and metadata
parsing. Videos stored in /data/uploads (mounted volume), served via
streaming API route with Range headers and HLS segment caching. Upload
flow: stream-write MP4 → ffprobe metadata → thumbnail → async HLS
transcode → update revision status to ready.
New files:
- video-service.ts: FFmpeg/ffprobe wrapper (HLS, thumbnails, metadata)
- /api/uploads/[...path]: streaming file server with Range support
Modified:
- upload-service.ts: video handling, 500MB limit, async HLS pipeline
- upload route: accepts video/referenceVideo types
- Dockerfile: ffmpeg + /data/uploads directory
- docker-compose.yml: uploads_data volume
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add event bus for dispatching automation events with handlers.
- Create rule engine to evaluate events against defined triggers.
- Introduce chat provider to interface with Claude API and Ollama fallback.
- Define tool schemas for Claude-compatible operations.
- Implement tool executor to map tool calls to service layer functions.
- Develop automation service for CRUD operations on rules and event handling.
- Implemented Smart Search Panel component for enhanced project and deliverable search functionality.
- Introduced useSemanticSearch and useOllamaHealth hooks for managing search queries and AI availability.
- Developed embedding-service to generate and store vector embeddings for projects and deliverables.
- Created semantic-search-service to handle vector search, structural query detection, and LLM summarization.
- Added support for hybrid search combining structural filters and semantic queries.
- Integrated UI components for displaying search results and user interactions.
