12 KiB
🗺️ Chat Switchboard Roadmap
Vision
Become the "VSCode of AI Interfaces" - A minimal, extensible core with infinite capabilities through plugins.
Competitive Position
| Feature | Chat Switchboard | Open WebUI | ChatGPT | Claude Desktop | LibreChat |
|---|---|---|---|---|---|
| Multi-Model | ✅ Auto-routing | ✅ Manual | ❌ | ❌ | ✅ |
| Plugin System | ✅⭐ Dogfooded | 🟡 Limited | ❌ | ❌ | 🟡 |
| Offline Mode | ✅ Full featured | ❌ | ❌ | 🟡 | ❌ |
| Workflows | ✅⭐ Visual DAG | ❌ | ❌ | ❌ | ❌ |
| Channels | ✅ With AI | ✅ | ❌ | ❌ | 🟡 |
| RAG/Knowledge | ✅ pgvector | ✅ | 🟡 | 🟡 | ✅ |
| Self-Hosted | ✅ Easy | ✅ Complex | ❌ | ❌ | ✅ |
| Open Source | ✅ MIT | ✅ MIT | ❌ | ❌ | ✅ MIT |
| No Backend Required | ✅⭐ Optional | ❌ | ❌ | ❌ | ❌ |
| Desktop App | 🟡 Planned | ❌ | ✅ | ✅ | ❌ |
| Mobile App | 🟡 PWA | 🟡 | ✅ | ✅ | 🟡 |
Unique Advantages:
- Workflows - No competitor has visual AI orchestration
- Plugin-First - Core features ARE plugins (proves extensibility)
- Dual-Mode - Works offline or managed (privacy + collaboration)
- Smart Routing - Automatic model selection for cost/quality
Development Phases
✅ Phase 0: Foundation (Current)
Status: Complete
Timeline: Week 1-2
- Frontend core (vanilla JS)
- LocalStorage state management
- OpenAI-compatible API client
- Streaming responses
- Chat history
- Export (Markdown, JSON, Text)
- Model switching
- Standalone build
🚧 Phase 1: Backend Core
Status: In Progress
Timeline: Week 3-6 (4 weeks)
Goals:
- Full Go backend with PostgreSQL
- User authentication (JWT)
- WebSocket server for real-time
- Extension manager (load/manage plugins)
- Mode switching (unmanaged ↔ managed)
Tasks:
- Implement auth handlers (register, login, JWT)
- PostgreSQL models and migrations
- WebSocket hub for real-time messaging
- Extension discovery and lifecycle management
- API endpoints for chats, settings, users
- Frontend mode detection and switching
Deliverables:
- Users can create accounts
- Backend stores chat history
- WebSocket connections work
- At least 1 extension loads and runs
🎯 Phase 2: Core Features as Plugins
Status: Not Started
Timeline: Week 7-10 (4 weeks)
Goal: Prove plugin architecture by implementing core features as extensions
2.1 Chat Engine Plugin (Python)
extensions/backend/chat-engine/
├── extension.json
├── main.py
├── requirements.txt
└── models/
├── openai.py
├── anthropic.py
└── ollama.py
Tasks:
- Multi-provider adapter pattern
- Streaming response handling
- Token counting and cost tracking
- Message history management
- System prompt injection
2.2 Channels Plugin (Go)
extensions/backend/channels/
├── extension.json
├── main.go
├── handlers/
│ ├── channels.go
│ └── messages.go
└── websocket/
└── broadcaster.go
Tasks:
- Channel CRUD operations
- Membership management
- Real-time message broadcasting
- @mention parsing (users + AI models)
- Threading support
2.3 Notes Plugin (Go)
extensions/backend/notes/
├── extension.json
├── main.go
└── handlers/
└── notes.go
Tasks:
- Note CRUD
- Folder organization
- Tagging system
- Markdown rendering
- Full-text search
Deliverables:
- Chat works via chat-engine extension
- Channels support user + AI conversations
- Notes can be created and organized
- All features disabled if extension not loaded
🚀 Phase 3: RAG & Knowledge Bases
Status: Not Started
Timeline: Week 11-13 (3 weeks)
Goal: Advanced knowledge management with vector search
3.1 RAG Engine Plugin (Python)
extensions/backend/rag-engine/
├── extension.json
├── main.py
├── embeddings.py
├── chunker.py
└── requirements.txt
# Dependencies: langchain, pgvector, tiktoken
Features:
- Document upload (PDF, DOCX, TXT, MD)
- Smart chunking (recursive, semantic)
- Embedding generation (OpenAI, local models)
- Vector storage (pgvector)
- Semantic search
- Context injection in chat
3.2 Knowledge Base UI
- KB management interface
- Drag-and-drop upload
- Document viewer
- Search results preview
- Chat integration (auto-search when enabled)
Deliverables:
- Upload documents to KB
- Semantic search works
- Chat can reference KB automatically
- Cost tracking for embeddings
⭐ Phase 4: Workflows (KILLER FEATURE)
Status: Not Started
Timeline: Week 14-18 (5 weeks)
Goal: Visual workflow builder for multi-step AI operations
4.1 Workflow Engine (Go + Python)
extensions/backend/workflows/
├── extension.json
├── executor.go # Go: DAG execution
├── registry.py # Python: Tool registry
└── nodes/
├── llm_node.go
├── tool_node.go
├── conditional_node.go
└── loop_node.go
Features:
- DAG execution engine
- Node type system (LLM, tool, logic, I/O)
- Variable resolution and templating
- Conditional branching
- Loops and iteration
- Error handling and retries
- Cost tracking per workflow
- Execution history and logs
4.2 Visual Workflow Builder (Frontend)
- Drag-and-drop canvas
- Node palette (search and add)
- Connection drawing
- Node configuration panels
- Live execution preview
- Debug mode (step-through)
4.3 Workflow Templates
- Research Assistant
- Code Review Pipeline
- Multi-Model Consensus
- Content Creation Factory
- Data Processing Pipeline
Deliverables:
- Users can create workflows visually
- Workflows execute correctly
- Template marketplace basics
- At least 5 working templates
🔧 Phase 5: Developer Experience
Status: Not Started
Timeline: Week 19-21 (3 weeks)
Goal: Make extension development effortless
5.1 Extension Templates
_template-pythonwith FastAPI boilerplate_template-gowith Gin boilerplate_template-nodewith Express boilerplate- CLI tool:
chatswitch create-extension
5.2 Extension Marketplace
marketplace/
├── backend/
│ ├── api.go # Publish, search, install
│ └── storage/ # Extension packages
└── frontend/
└── marketplace.html # Browse and install UI
Features:
- Publish extensions (tarball upload)
- Search and browse
- One-click install
- Ratings and reviews
- Version management
- Dependency resolution
5.3 Documentation & Examples
- Complete API documentation
- 10+ example extensions
- Video tutorials
- Plugin development guide
- Contributing guidelines
Deliverables:
- Easy extension scaffolding
- Working marketplace
- Comprehensive docs
💎 Phase 6: Polish & Launch Prep
Status: Not Started
Timeline: Week 22-24 (3 weeks)
6.1 Desktop App (Tauri)
desktop/
├── src-tauri/ # Rust backend
│ ├── main.rs
│ └── Cargo.toml
└── src/ # Frontend (reuse web)
└── index.html
Features:
- Native app wrapper
- System tray integration
- Keyboard shortcuts
- Native notifications
- Auto-updates
6.2 Mobile (PWA)
- Responsive design
- Touch gestures
- Offline support
- Install prompt
6.3 Performance
- Frontend bundle optimization
- Backend query optimization
- WebSocket connection pooling
- Redis caching
- CDN for static assets
6.4 Security Audit
- SQL injection prevention
- XSS protection
- CSRF tokens
- Rate limiting
- API key encryption audit
- Extension sandboxing review
Deliverables:
- Desktop app for Windows, Mac, Linux
- Mobile-friendly PWA
- Performance benchmarks
- Security audit report
🎉 Phase 7: Launch
Timeline: Week 25
7.1 Marketing
- Landing page
- Demo video
- Blog post
- HackerNews/Reddit launch
- ProductHunt submission
7.2 Community
- Discord server
- GitHub Discussions
- Documentation site
- Example workflows gallery
7.3 Infrastructure
- Hosted demo instance
- CI/CD pipeline
- Monitoring (Prometheus, Grafana)
- Error tracking (Sentry)
Launch Checklist:
- All core features working
- 10+ bundled extensions
- Desktop app released
- Documentation complete
- Demo video published
- Community channels live
Post-Launch Roadmap
v1.1 - Enterprise Features
Timeline: Month 2-3
- SSO/SAML authentication
- Team management
- Role-based access control (RBAC)
- Audit logs
- Usage analytics dashboard
- Billing integration (Stripe)
v1.2 - Advanced Workflows
Timeline: Month 4-5
- Workflow version control (Git-like)
- Collaborative editing
- A/B testing workflows
- Scheduled executions (cron)
- Webhook triggers
- API-first workflow execution
v1.3 - AI Enhancements
Timeline: Month 6-7
- Fine-tuned model hosting
- Custom embedding models
- Multi-modal support (images, audio)
- Voice chat
- Real-time translation
v2.0 - Platform Evolution
Timeline: Month 8-12
- Plugin marketplace monetization
- White-label solution
- Multi-tenant SaaS mode
- Advanced analytics (cost optimization, usage insights)
- Mobile native apps (React Native)
Success Metrics
User Metrics
- Week 1: 100 GitHub stars
- Month 1: 1,000 active users
- Month 3: 5,000 active users, 50 community extensions
- Month 6: 20,000 active users, 200 community extensions
Technical Metrics
- Plugin Load Time: < 2s
- API Response Time: < 100ms (p95)
- WebSocket Latency: < 50ms
- Uptime: 99.9%
Business Metrics (If Applicable)
- Free Tier: Unlimited local use
- Hosted Basic: $10/user/month
- Hosted Pro: $25/user/month (workflows, advanced features)
- Enterprise: Custom pricing
Risk Mitigation
Technical Risks
| Risk | Mitigation |
|---|---|
| Extension security vulnerabilities | Sandboxing, code review, security audit |
| WebSocket scaling issues | Redis pub/sub, horizontal scaling |
| Database performance | Query optimization, indexing, caching |
| Third-party API rate limits | Retry logic, fallback chains, caching |
Product Risks
| Risk | Mitigation |
|---|---|
| Competitors copy workflows feature | Speed to market, open-source advantage |
| Low plugin adoption | High-quality templates, good DX |
| Users prefer monolithic apps | Prove extensibility with core features |
Market Risks
| Risk | Mitigation |
|---|---|
| AI providers release similar tools | Self-hosted option, multi-provider support |
| Regulation changes | Privacy-first design, compliance features |
How to Contribute
For Developers
- Pick an issue from GitHub
- Fork the repo
- Create a feature branch
- Submit a PR
High Priority:
- Implement Phase 1 backend tasks
- Create example extensions
- Write documentation
For Designers
- UI/UX improvements
- Workflow builder mockups
- Landing page design
For Writers
- Blog posts
- Tutorials
- Documentation improvements
For Users
- Bug reports
- Feature requests
- Extension ideas
Questions?
- GitHub Issues: Bug reports, feature requests
- GitHub Discussions: General questions, ideas
- Discord: Real-time chat (coming soon)
Let's build the future of AI interfaces together! 🚀