Skip to main content

id: ai-integration

AI Integration

AI Service Overview​

Implementation Structure​

apps/kaido-monorepo/src/ai/
├── ai.service.ts     # Main AI service implementation
├── ai.module.ts      # Module configuration
└── ollama.service.ts # Local AI processing service

Providers​

  • OpenAI: Primary provider for high-quality responses
  • Ollama: Local AI processing with llama3.3 model
  • Provider Selection: Dynamic selection based on request type

Integration Strategy​

  • OpenAI for caption requests (100%)
  • Mixed provider selection for readings and teachings
  • Configurable selection threshold
  • Performance monitoring

Service Implementation​

AI Service​

  • Provider management and routing
  • Response generation and formatting
  • Teaching generation and scheduling
  • Error handling and retries
  • Configuration management

Ollama Service​

  • Local model integration
  • Response generation
  • Teaching generation
  • Timeout handling
  • Error management

Message Processing​

Format Handling​

  • HTML formatting
  • Markdown support
  • Message splitting
  • Length management

Response Generation​

  • Context incorporation
  • Style maintenance
  • Teaching generation
  • Quality checks
  • Performance tracking

Teaching Generation​

Features​

  • Automatic daily teaching generation
  • Missing teachings detection
  • Batch generation for all cards
  • Model distribution tracking
  • Teaching quality assurance

Implementation​

  • Queue-based processing
  • Exponential backoff retries
  • Model selection strategy
  • Teaching compression
  • Format validation

Technical Implementation​

Configuration​

  • Environment-based setup
  • API key management
  • Model selection
  • Timeout settings

Error Handling​

  • Graceful degradation
  • Provider fallback
  • Error logging
  • Status reporting

Security Measures​

API Security​

  • Key management
  • Request validation
  • Rate limiting
  • Error handling

Data Protection​

  • Content filtering
  • User data protection
  • Response sanitization
  • Access control

Monitoring & Analytics​

Performance Tracking​

  • Response times
  • Quality metrics
  • Error rates
  • Usage statistics

NEXT_TASK: Implement monitoring system for AI service performance tracking, including response times, quality metrics, and error rates

System Health​

  • Provider status
  • Service monitoring
  • Error logging
  • System metrics