INNGEST_TODO.md

Inngest Integration TODO List

1. Core Infrastructure Setup

• Install required dependencies
  • inngest
  • @vercel/kv
  • ai-sdk-rsc
  • agentkit
  • @langchain/core
  • langchain
  • @vercel/ai
  • d3
• Create Inngest client configuration
• Set up environment variables
  • INNGEST_EVENT_KEY
  • MCP_API_KEY
  • MCP_PROJECT_ID
  • OPENAI_API_KEY
  • ANTHROPIC_API_KEY

2. AgentKit Integration

• Define agent configuration
  • Basic tools (analyze_document, improve_writing, extract_insights)
  • Advanced tools (smart_template, narrative_structure, metaphors, knowledge_graph)
• Create tool implementations
  • Document analysis
  • Writing improvement
  • Insight extraction
  • Smart template generation
  • Narrative structure analysis
  • Metaphor enhancement
  • Knowledge graph generation
• Implement LLM calling patterns
  • Direct LLM call pattern
  • MCP pattern
  • Hybrid pattern (Agent with MCP)
• Integrate with existing LLM service
  • Add tool support to LLM service
  • Add MCP client integration
  • Add helper functions for tool execution

3. Inngest Functions

• Define event types
  • Document analysis events
  • Writing improvement events
  • Agent tool events
  • Smart template events
  • Narrative analysis events
  • Metaphor enhancement events
  • Knowledge graph events
• Create Inngest functions
  • Document analysis function
  • Writing improvement function
  • Smart template function
  • Narrative structure function
  • Metaphor enhancement function
  • Knowledge graph function

4. API Routes

• Create Inngest event handler
• Create API endpoints
  • /api/ai/smart-template
  • /api/ai/narrative-analysis
  • /api/ai/metaphor-enhancement
  • /api/ai/knowledge-graph
• Implement basic error handling
• Implement authentication middleware (deferred)
• Add rate limiting

5. AI SDK Integration

• Update AI SDK client with new actions
  • Smart template generation
  • Narrative structure analysis
  • Metaphor enhancement
  • Knowledge graph generation
• Implement streaming UI updates
• Add error handling for AI operations
• Implement retry logic for failed operations

6. UI Components

• Create MCP Servers Settings UI
• Create AI Tools Settings UI
• Create Smart Template Generator component
• Create Knowledge Graph Visualizer component
• Create Advanced Tools Panel component
• Create Narrative Structure Analyzer component
• Create Metaphor & Imagery Enhancer component
• Add loading states and error handling
• Implement responsive design
• Add tooltips and help text

7. Testing & Documentation

• Write unit tests for Inngest functions
• Write integration tests for API routes
• Write unit tests for UI components
• Create API documentation
• Create user documentation
• Add error logging and monitoring
• Set up performance monitoring

8. Deployment & Optimization

• Configure Vercel deployment
• Set up KV database
• Configure environment variables
• Optimize LLM prompts
• Implement caching strategy
• Set up monitoring and alerts
• Configure backup strategy

9. Security & Compliance

• Implement input validation
• Add rate limiting
• Set up CORS configuration
• Implement audit logging
• Add data retention policies
• Review security best practices
• Document security measures

10. Maintenance & Updates

• Set up automated testing
• Configure CI/CD pipeline
• Create update procedures
• Document maintenance tasks
• Set up monitoring dashboards
• Create backup procedures
• Document rollback procedures

Progress Tracking

• Total Tasks: 95
• Completed: 37
• Remaining: 58
• Progress: 38.9%

Next Steps

1. ✅ Fix linter errors in implemented files
2. ✅ Integrate tool and MCP support with LLM service
3. ✅ Create MCP/Tools Settings UI
4. Implement authentication middleware (deferred to a later phase)
5. Add rate limiting
6. Create remaining UI components
7. Write tests and documentation