🎙️ VoiceFlow AI: Telegram + Deepgram + OpenAI + Supabase Audio Assistant

🎙️ AI Audio Assistant with Voice-to-Voice Response

Who is this for?
Businesses, customer service teams, content creators, and organizations who want to provide intelligent voice-based interactions through Telegram. Perfect for accessibility-focused services, multilingual support, or hands-free customer assistance.

What problem does this solve?

• Enables natural voice conversations with AI
• Breaks down language and accessibility barriers
• Provides instant voice responses to customer queries
• Reduces typing requirements for users
• Offers 24/7 voice-based customer support
• Maintains conversation context across voice interactions

What this workflow does:

1. Receives voice messages via Telegram bot
2. Transcribes audio using Deepgram's advanced speech-to-text
3. Processes transcribed text through AI agent with knowledge base access
4. Generates intelligent responses based on conversation context
5. Converts AI response to natural-sounding speech using Deepgram TTS
6. Sends audio response back to user via Telegram
7. Maintains conversation memory for contextual interactions

🔧 Technical Architecture

Core Components:

• Telegram Bot: Receives and sends voice messages
• Deepgram STT: Transcribes voice to text with high accuracy
• OpenAI GPT: Processes queries and generates responses
• Supabase Knowledge Base: Stores and retrieves business information
• Memory Management: Maintains conversation context
• Deepgram TTS: Converts text responses to natural speech

Data Flow:

1. Voice Message → Telegram API → File Download
2. Audio File → Deepgram STT → Transcript
3. Transcript → AI Agent → Response Generation
4. Response → Deepgram TTS → Audio File
5. Audio Response → Telegram → User

🛠️ Setup Instructions

Prerequisites

1. Telegram Bot Token

   • Create bot via @BotFather
   • Get bot token and configure webhook

2. Deepgram API Key

   • Sign up at deepgram.com
   • Get API key for STT and TTS services
   • Note: Currently hardcoded in workflow

3. OpenAI API Key

   • OpenAI account with API access
   • Configure in OpenAI Chat Model node

4. Supabase Database

   • Create Supabase project
   • Set up knowledge_base table
   • Configure API credentials

Step-by-Step Setup

1. Configure Telegram Bot

   - Update telegramToken in "Prepare Voice Message Data" node
   - Set correct bot token in Telegram nodes
   - Test bot connectivity
   

2. Set Up Deepgram Integration

   - Replace API key in "Transcribe with Deepgram" node
   - Update TTS endpoint in "HTTP Request" node
   - Test voice transcription accuracy
   

3. Configure Knowledge Base

   -- Create knowledge_base table in Supabase
   CREATE TABLE knowledge_base (
     id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
     question TEXT NOT NULL,
     answer TEXT NOT NULL,
     category VARCHAR(100),
     keywords TEXT[],
     created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
   );
   

4. Customize AI Prompts

   • Update system message in "Telegram AI Agent" node
   • Adjust temperature and max tokens in OpenAI model
   • Configure memory session keys

5. Test End-to-End Flow

   • Send test voice message to bot
   • Verify transcription accuracy
   • Check AI response quality
   • Validate audio output clarity

🎛️ Configuration Options

Voice Recognition Settings

• Model: nova-2 (Deepgram's latest model)
• Language: English (en) - can be changed
• Smart Format: Enabled for better punctuation

AI Response Settings

• Temperature: 0.3 (conservative responses)
• Max Tokens: 100 (adjust based on needs)
• Memory: Session-based conversation context

Text-to-Speech Settings

• Model: aura-2-thalia-en (natural female voice)
• Alternative voices: Available in Deepgram TTS API
• Audio Format: Optimized for Telegram

🔒 Security Considerations

API Key Management

// Current implementation has hardcoded tokens
// Recommended: Use environment variables
const telegramToken = process.env.TELEGRAM_BOT_TOKEN;
const deepgramKey = process.env.DEEPGRAM_API_KEY;

Data Privacy

• Voice messages are processed by external APIs
• Consider data retention policies
• Implement user consent mechanisms
• Ensure GDPR compliance if applicable

📊 Monitoring & Analytics

Key Metrics to Track

• Voice message processing time
• Transcription accuracy rates
• AI response quality scores
• User engagement metrics
• Error rates and failure points

Recommended Logging

// Add to workflow for monitoring
console.log({
  timestamp: new Date().toISOString(),
  user_id: userData.user_id,
  transcript_confidence: transcriptData.confidence,
  response_length: aiResponse.length,
  processing_time: processingTime
});

🚀 Customization Ideas

Enhanced Features

1. Multi-language Support

   • Add language detection
   • Support multiple TTS voices
   • Translate responses

2. Voice Commands

   • Implement wake words
   • Add voice shortcuts
   • Create voice menus

3. Advanced AI Features

   • Sentiment analysis
   • Intent classification
   • Escalation triggers

4. Integration Expansions

   • Connect to CRM systems
   • Add calendar scheduling
   • Integrate with help desk tools

Performance Optimizations

• Implement audio preprocessing
• Add response caching
• Optimize API call sequences
• Implement retry mechanisms

🐛 Troubleshooting

Common Issues

Voice Not Transcribing

• Check Deepgram API key validity
• Verify audio format compatibility
• Test with shorter voice messages

Poor Audio Quality

• Adjust TTS model settings
• Check network connectivity
• Verify Telegram audio limits

AI Responses Too Generic

• Improve knowledge base content
• Adjust system prompts
• Increase context window

Memory Not Working

• Check session key configuration
• Verify user ID extraction
• Test conversation continuity

💡 Best Practices

Voice Interface Design

• Keep responses concise and clear
• Use natural speech patterns
• Avoid technical jargon
• Provide clear next steps

Knowledge Base Management

• Regular content updates
• Clear categorization
• Keyword optimization
• Quality assurance testing

User Experience

• Fast response times (<5 seconds)
• Consistent voice personality
• Graceful error handling
• Clear capability communication

📈 Success Metrics

Technical KPIs

• Response time: <3 seconds average
• Transcription accuracy: >95%
• User satisfaction: >4.5/5
• Uptime: >99.5%

Business KPIs

• Customer query resolution rate
• Support ticket reduction
• User engagement increase
• Cost per interaction decrease

🔄 Maintenance Schedule

Daily

• Monitor error logs
• Check API rate limits
• Verify service uptime

Weekly

• Review conversation quality
• Update knowledge base
• Analyze usage patterns

Monthly

• Performance optimization
• Security audit
• Feature updates
• User feedback review

📚 Additional Resources

Documentation Links

• Deepgram STT API
• Deepgram TTS API
• Telegram Bot API
• OpenAI API
• Supabase Documentation

Community Support

• n8n Community Forum
• Telegram Bot Developers Group
• Deepgram Developer Discord
• OpenAI Developer Community

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Note: This template requires active API subscriptions for Deepgram and OpenAI services. Costs may apply based on usage volume.