🎤 PHRONAI: Voice-Powered AI Diagramming

Transform voice commands into professional diagrams in real-time with zero-hallucination AI.

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🎯 What It Does

Speak naturally, get professional diagrams instantly. PHRONAI is a voice-controlled AI agent that:

• Listens to your voice commands
• Understands complex architectural descriptions
• Renders beautiful system diagrams in real-time
• Never hallucinates thanks to Pydantic schema validation

Example Voice Commands

You Say	PHRONAI Does
"Add a database connected to the API server"	Creates database node + arrow
"Create a microservices architecture with user service, auth, and gateway"	Full 3-node system with connections
"Change all nodes to green"	Updates all node colors
"Delete the cache and connect database directly to server"	Removes node, rewires edges

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🏗️ Architecture

┌─────────────────────────────────────────────────────────────────────┐
│                           PHRONAI FLOW                              │
├─────────────────────────────────────────────────────────────────────┤
│                                                                     │
│   🎤 Voice Input          🧠 AI Processing          📊 Diagram      │
│   ─────────────          ─────────────────         ──────────       │
│                                                                     │
│   ┌─────────┐    ┌───────────────┐    ┌──────────────────────┐     │
│   │ Browser │───▶│   Deepgram    │───▶│   Groq LLaMA 3.3     │     │
│   │ (Audio) │    │   Nova-2 STT  │    │   + Instructor       │     │
│   └─────────┘    └───────────────┘    │   + Pydantic         │     │
│        ▲                              └──────────┬───────────┘     │
│        │                                         │                  │
│        │         ┌─────────────────┐             │                  │
│        └─────────│   tldraw +      │◀────────────┘                  │
│                  │   ELK.js Layout │   Validated JSON Actions       │
│                  └─────────────────┘                                │
│                                                                     │
└─────────────────────────────────────────────────────────────────────┘

Zero-Hallucination Guarantee

Unlike standard LLM integrations, PHRONAI never produces invalid output:

1. Pydantic Schemas - Every LLM response is validated against strict schemas
2. Instructor Library - Automatic retry with error context if validation fails
3. Self-Correction Loop - LLM sees its mistakes and fixes them

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⚡ Tech Stack

Layer	Technology	Why
Backend	Django 5.2 + Channels	Async WebSocket handling
LLM	Groq (LLaMA 3.3 70B)	Fast inference, free tier
Validation	Instructor + Pydantic	Zero hallucination
Speech-to-Text	Deepgram Nova-2	95%+ accuracy on tech terms
Frontend	React 18 + tldraw	Infinite canvas rendering
Layout	ELK.js	Automatic graph layout
Auth	Supabase	Magic links, OAuth

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🚀 Quick Start

Prerequisites

• Python 3.12+
• Node.js 18+
• API Keys: Deepgram + Groq

1. Backend Setup

cd phronai/server

# Create virtual environment
python -m venv venv
venv\Scripts\activate  # Windows
# source venv/bin/activate  # Mac/Linux

# Install dependencies
pip install -r requirements.txt

# Configure environment
cp .env.example .env
# Edit .env with your API keys

# Run server
python manage.py runserver 8000

2. Frontend Setup

cd phronai/client

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Add Supabase keys

# Run development server
npm run dev

3. Open in Browser

Navigate to http://localhost:5173, sign in, and start speaking! 🎤

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📁 Project Structure

phronai/
├── server/                     # Django Backend
│   ├── agent/
│   │   ├── consumers.py        # WebSocket handler
│   │   ├── schemas.py          # Pydantic validation (23 colors!)
│   │   ├── reasoning.py        # LLM integration with Instructor
│   │   └── state.py            # Thread-safe session management
│   ├── middleware/
│   │   └── rate_limit.py       # 10 req/min per user
│   ├── integrations/
│   │   └── deepgram.py         # STT client with retry
│   ├── prompts/
│   │   └── sketch_protocol.md  # System prompt
│   └── Dockerfile              # Production build
│
├── client/                     # React Frontend
│   ├── src/
│   │   ├── pages/AgentCanvas.tsx    # Main canvas with voice UI
│   │   ├── lib/graphLayout.ts       # ELK.js integration
│   │   ├── lib/tldrawShapes.ts      # Custom node rendering
│   │   └── lib/DiagramNodeShape.tsx # Semantic node types
│   └── Dockerfile
│
├── docker-compose.yml          # Full stack deployment
├── docker-compose.dev.yml      # Local dev (PostgreSQL + Redis)
└── railway.toml                # Railway deployment config

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🔒 Security Features

• Rate Limiting: 10 requests/minute per user (sliding window)
• JWT Auth: Supabase tokens validated on WebSocket connect
• Input Validation: All LLM outputs schema-validated before execution
• CORS Protection: Configured for production domains

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📊 Performance

Metric	Value
End-to-end latency	~4 seconds
Transcription accuracy	95%+
LLM schema compliance	100%
Concurrent sessions	Thread-safe with asyncio locks

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Environment Variables

# Required
DEEPGRAM_API_KEY=your_key
GROQ_API_KEY=your_key
DJANGO_SECRET_KEY=generate_a_secure_key
ALLOWED_HOSTS=your-domain.railway.app

# Optional (auto-provided by Railway)
DATABASE_URL=postgres://...
REDIS_URL=redis://...

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📝 API Reference

WebSocket: ws://host/ws/agent/?token=<jwt>

Direction	Type	Payload
Client → Server	Binary	Audio (WebM/Opus)
Server → Client	transcript	{ text: "..." }
Server → Client	actions	{ actions: [...] }
Client → Server	canvas_sync	{ graph: {...}, snapshot: "..." }

HTTP Endpoints

Endpoint	Method	Purpose
/health/	GET	Health check
/health/ready/	GET	Kubernetes readiness

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🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing)
5. Open a Pull Request

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� Author

Hemant – Full Stack Developer

📩 Interested in this project or want to collaborate? Contact me on LinkedIn

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📄 License

MIT License - See LICENSE for details.