PHASE4_IMPLEMENTATION.md

🚀 Phase 4 Implementation - Complete Guide

✅ All Phase 4 Components Implemented!

Complete implementation of Voice Reply (TTS), On-Device Inference, and Agent Orchestration.

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📋 What Was Implemented

1. TTS Service ✅

• File: services/tts_service.py
• Features:
  • Coqui TTS integration (primary)
  • pyttsx3 fallback
  • Voice caching
  • Base64 encoding for WhatsApp
  • Multiple voice styles support

2. Model Quantization ✅

• File: tools/quantize_model.py
• Features:
  • bitsandbytes 4-bit/8-bit quantization
  • GGML conversion support
  • Edge deployment ready

3. WhatsApp Integration ✅

• File: integrations/whatsapp_webhook_example.py
• Features:
  • Webhook handling
  • Signature verification
  • Media processing (images, audio)
  • Text message handling
  • FastAPI server

4. Telegram Integration ✅

• File: integrations/telegram_bot_example.py
• Features:
  • Bot commands
  • Photo handling (bills)
  • Audio handling (voice notes)
  • Confirmation buttons
  • Interactive keyboards

5. Agent Orchestrator ✅

• File: agents/orchestrator.py
• Features:
  • Multi-step workflow planning
  • Step execution
  • Safety checks
  • Audit logging
  • Consent management

6. Production Training Config ✅

• File: config/training_config.yaml
• Features:
  • LoRA configuration
  • RunPod settings
  • Safety settings
  • Metrics configuration

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🚀 Quick Start

TTS Service

cd backend/mobot-dataset
python services/tts_service.py

WhatsApp Webhook

# Set environment variables
export WHATSAPP_WEBHOOK_SECRET="your_secret"
export WHATSAPP_VERIFY_TOKEN="mobot_verify_token"

# Run server
python integrations/whatsapp_webhook_example.py

Telegram Bot

# Set bot token
export TELEGRAM_BOT_TOKEN="your_bot_token"

# Run bot
python integrations/telegram_bot_example.py

Agent Orchestrator

python agents/orchestrator.py

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📊 Architecture

[WhatsApp/Telegram] 
        ↓
[Webhook/Bot Handler]
        ↓
[Agent Orchestrator]
        ↓
[OCR/STT/TTS Services] → [MOBOT LLM] → [Payment Service]
        ↓
[Audit & Logging]

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✅ Features

Voice Reply (TTS)

• ✅ Natural-sounding voices
• ✅ Multiple language support
• ✅ Audio caching
• ✅ WhatsApp/Telegram delivery

On-Device Inference

• ✅ Model quantization (4-bit/8-bit)
• ✅ Edge deployment ready
• ✅ Low latency options

Agent Orchestration

• ✅ Multi-step workflows
• ✅ Safety checks
• ✅ Consent management
• ✅ Audit logging

Integration

• ✅ WhatsApp webhook
• ✅ Telegram bot
• ✅ Media handling
• ✅ Confirmation flows

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🎯 Next Steps

1. Test TTS Service

   python services/tts_service.py
   

2. Deploy WhatsApp Webhook

   • Configure webhook URL
   • Set environment variables
   • Test with Meta Business

3. Deploy Telegram Bot

   • Get token from BotFather
   • Run bot server
   • Test commands

4. Test Orchestrator

   python agents/orchestrator.py
   

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📝 Configuration

Environment Variables

# WhatsApp
WHATSAPP_WEBHOOK_SECRET=your_secret
WHATSAPP_VERIFY_TOKEN=mobot_verify_token

# Telegram
TELEGRAM_BOT_TOKEN=your_bot_token

# TTS
TTS_CACHE_DIR=cache/tts

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✅ Status

• ✅ TTS Service: Complete
• ✅ Quantization Tool: Complete
• ✅ WhatsApp Integration: Complete
• ✅ Telegram Integration: Complete
• ✅ Agent Orchestrator: Complete
• ✅ Training Config: Updated

All Phase 4 components are ready! 🚀