YapTrap is an intelligent chatbot designed to participate in multi-party conversations across various messaging platforms. It learns individual personalities, provides contextual roasts and witty remarks, and can engage in meaningful conversations when directly addressed.

├── docs/                    # Project documentation
│   ├── SRS.md              # Software Requirements Specification
│   ├── SDD.md              # Software Design Document
│   ├── STP.md              # Software Test Plan
│   └── RUNBOOK.md          # Operational Deployment Plan
├── backend/                 # Core backend services
│   ├── index.ts            # Main HTTP entry point
│   ├── database/           # Database operations
│   ├── platforms/          # Platform-specific handlers
│   ├── ai/                 # LLM integration
│   └── monitoring/         # System monitoring
├── frontend/               # Admin web interface
├── shared/                 # Shared utilities and types
└── tests/                  # Test suites

• Slack (via Slack App API)
• SMS/MMS (via Telnyx API)
• Email (via SendGrid API)
• WhatsApp Business API (webhook-based)
• Additional platforms via webhook integrations

1. Personality Learning - Analyzes conversation patterns to understand group dynamics
2. Contextual Engagement - Provides relevant, witty responses based on conversation context
3. Multi-Platform Support - Unified backend with platform-specific adapters
4. Admin Dashboard - Web-based monitoring and configuration interface
5. Self-Monitoring - Automated system health and performance tracking

🚧 In Development - Initial architecture and core components being implemented

1. Set up environment variables in .env
2. Deploy to Val Town
3. Configure platform webhooks
4. Access admin dashboard at deployed URL

See /docs/ directory for detailed specifications and design documents.