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digital-duck

Model Context Protocol Demo

by digital-duck
ROADMAP.md4.64 kB
## 🎯 **RAG & AI Enhancements** ### 1. **Multi-Tool Chain Execution** ```python # Allow queries like: "Calculate 15 + 27, then find sine of that result" { "action": "chain", "steps": [ {"tool": "calculator", "params": {"operation": "add", "num1": 15, "num2": 27}}, {"tool": "trig", "params": {"operation": "sine", "num1": "${step1.result}", "unit": "degree"}} ] } ``` ### 2. **Conversation Memory & Context** - Remember previous calculations in the session - Allow references like "multiply that by 2" or "what was my last result?" - Build conversation-aware embeddings ### 3. **Custom Tool Registration** - Allow users to register their own tools dynamically - Auto-generate embeddings for new tools - Plugin architecture for easy tool addition ## 🔧 **Advanced Tool Features** ### 4. **Smart Parameter Inference** ```python # Query: "What's the temperature in New York?" # Auto-infer: {"tool": "weather", "params": {"location": "New York", "metric": "temperature"}} ``` ### 5. **Tool Validation & Suggestions** - Validate parameters before execution - Suggest corrections for malformed queries - Show parameter hints based on tool schemas ### 6. **Batch Operations** ```python # "Calculate sine, cosine, and tangent of 30 degrees" # Execute multiple related operations in parallel ``` ## 📊 **Analytics & Intelligence** ### 7. **Query Intent Analysis** - Classify queries by intent (calculation, lookup, system, etc.) - Track user patterns and suggest optimizations - Predict next likely queries ### 8. **Performance Analytics Dashboard** - Real-time metrics on parsing accuracy - RAG effectiveness scoring - Tool usage patterns and optimization suggestions ### 9. **A/B Testing Framework** - Compare different parsing strategies - Test RAG vs non-RAG performance - Optimize similarity thresholds dynamically ## 🌐 **Integration & Extensibility** ### 10. **Multi-Modal Support** - Image inputs for mathematical diagrams - Voice queries with speech-to-text - Export results to various formats (PDF, CSV, etc.) ### 11. **Real-Time Data Sources** ```python # Tools that update their capabilities dynamically # Weather APIs, stock prices, news feeds, etc. # Auto-refresh embeddings when data sources change ``` ### 12. **Collaborative Features** - Share sessions between users - Team workspaces with shared tool access - Query templates and saved workflows ## 🛡️ **Security & Reliability** ### 13. **Tool Access Control** - Role-based permissions for different tools - Audit trail for sensitive operations - Rate limiting and quota management ### 14. **Fallback & Error Recovery** - Graceful degradation when tools are unavailable - Automatic retry with exponential backoff - Alternative tool suggestions for failed operations ## 🚀 **User Experience** ### 15. **Smart Query Suggestions** ```python # As user types, show relevant completions based on: # - Available tools and their capabilities # - User's query history # - Similar queries from RAG system ``` ### 16. **Interactive Result Exploration** - Click on results to see related operations - Visualizations for mathematical results - Export/share functionality ### 17. **Mobile-Responsive Design** - Touch-friendly interface - Offline capability for cached results - Progressive Web App (PWA) features ## 🧠 **Advanced RAG Features** ### 18. **Hierarchical Tool Organization** ```python # Organize tools by category/domain # Use hierarchical embeddings for better matching # Support tool composition and workflows ``` ### 19. **Dynamic Embedding Updates** - Retrain embeddings based on successful queries - Learn from user corrections and feedback - Adaptive similarity thresholds ### 20. **Cross-Tool Knowledge Transfer** - Use knowledge from one tool to improve others - Share parameter patterns across similar tools - Build tool relationship graphs ## 📈 **Quick Wins to Implement First** 1. **Query History with Search** - Let users search and rerun previous queries 2. **Tool Usage Statistics** - Show which tools are most/least used 3. **Query Autocomplete** - Based on available tools and past queries 4. **Export Session** - Save entire session as markdown/JSON 5. **Tool Performance Monitoring** - Track response times and success rates ## 🔮 **Advanced Ideas** - **Natural Language Tool Documentation**: Auto-generate user-friendly docs from tool schemas - **Query Optimization Suggestions**: "This query could be 50% faster if you use tool X instead" - **Predictive Tool Loading**: Pre-load tools based on user patterns - **Integration with External Workflows**: Zapier, IFTTT, GitHub Actions

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