174 lines
5.4 KiB
Markdown
174 lines
5.4 KiB
Markdown
# Softphone AI Assistant - Complete Implementation
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## 🎉 Features Implemented
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### ✅ Real-time AI Call Assistant
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- **OpenAI Realtime API Integration** - Listens to live calls and provides suggestions
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- **Audio Streaming** - Twilio Media Streams fork audio to backend for AI processing
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- **Real-time Transcription** - Speech-to-text during calls
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- **Smart Suggestions** - AI analyzes conversation and advises the agent
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## 🔧 Architecture
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### Backend Flow
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```
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Inbound Call → TwiML (<Start><Stream> + <Dial>)
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→ Media Stream WebSocket → OpenAI Realtime API
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→ AI Processing → Socket.IO → Frontend
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```
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### Key Components
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1. **TwiML Structure** (`voice.controller.ts:226-234`)
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- `<Start><Stream>` - Forks audio for AI processing
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- `<Dial><Client>` - Connects call to agent's softphone
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2. **OpenAI Integration** (`voice.service.ts:431-519`)
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- WebSocket connection to `wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview-2024-10-01`
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- Session config with custom instructions for agent assistance
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- Handles transcripts and generates suggestions
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3. **AI Message Handler** (`voice.service.ts:609-707`)
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- Processes OpenAI events (transcripts, suggestions, audio)
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- Routes suggestions to frontend via Socket.IO
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- Saves transcripts to database
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4. **Voice Gateway** (`voice.gateway.ts:272-289`)
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- `notifyAiTranscript()` - Real-time transcript chunks
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- `notifyAiSuggestion()` - AI suggestions to agent
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### Frontend Components
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1. **Softphone Dialog** (`SoftphoneDialog.vue:104-135`)
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- AI Assistant section with badge showing suggestion count
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- Color-coded suggestions (blue=response, green=action, purple=insight)
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- Animated highlight for newest suggestion
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2. **Softphone Composable** (`useSoftphone.ts:515-535`)
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- Socket.IO event handlers for `ai:suggestion` and `ai:transcript`
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- Maintains history of last 10 suggestions
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- Maintains history of last 50 transcript items
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## 📋 AI Prompt Configuration
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The AI is instructed to:
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- **Listen, not talk** - It advises the agent, not the caller
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- **Provide concise suggestions** - 1-2 sentences max
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- **Use formatted output**:
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- `💡 Suggestion: [advice]`
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- `⚠️ Alert: [important notice]`
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- `📋 Action: [CRM action]`
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## 🎨 UI Features
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### Suggestion Types
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- **Response** (Blue) - Suggested replies or approaches
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- **Action** (Green) - Recommended CRM actions
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- **Insight** (Purple) - Important alerts or observations
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### Visual Feedback
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- Badge showing number of suggestions
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- Newest suggestion pulses for attention
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- Auto-scrolling suggestion list
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- Timestamp on each suggestion
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## 🔍 How to Monitor
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### 1. Backend Logs
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```bash
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# Watch for AI events
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docker logs -f neo-backend-1 | grep -E "AI|OpenAI|transcript|suggestion"
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```
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Key log markers:
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- `📝 Transcript chunk:` - Real-time speech detection
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- `✅ Final transcript:` - Complete transcript saved
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- `💡 AI Suggestion:` - AI-generated advice
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### 2. Database
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```sql
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-- View call transcripts
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SELECT call_sid, ai_transcript, created_at
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FROM calls
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ORDER BY created_at DESC
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LIMIT 5;
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```
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### 3. Frontend Console
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- Open browser DevTools Console
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- Watch for: "AI suggestion:", "AI transcript:"
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## 🚀 Testing
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1. **Make a test call** to your Twilio number
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2. **Accept the call** in the softphone dialog
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3. **Talk during the call** - Say something like "I need to schedule a follow-up"
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4. **Watch the UI** - AI suggestions appear in real-time
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5. **Check logs** - See transcription and suggestion generation
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## 📊 Current Status
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✅ **Working**:
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- Inbound calls ring softphone
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- Media stream forks audio to backend
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- OpenAI processes audio (1300+ packets/call)
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- AI generates suggestions
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- Suggestions appear in frontend
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- Transcripts saved to database
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## 🔧 Configuration
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### Required Environment Variables
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```env
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# OpenAI API Key (set in tenant integrations config)
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OPENAI_API_KEY=sk-...
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# Optional overrides
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OPENAI_MODEL=gpt-4o-realtime-preview-2024-10-01
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OPENAI_VOICE=alloy
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```
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### Tenant Configuration
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Set in Settings > Integrations:
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- OpenAI API Key
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- Model (optional)
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- Voice (optional)
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## 🎯 Next Steps (Optional Enhancements)
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1. **CRM Tool Execution** - Implement actual tool calls (search contacts, create tasks)
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2. **Audio Response** - Send OpenAI audio back to caller (two-way AI interaction)
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3. **Sentiment Analysis** - Track call sentiment in real-time
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4. **Call Summary** - Generate post-call summary automatically
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5. **Custom Prompts** - Allow agents to customize AI instructions per call type
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## 🐛 Troubleshooting
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### No suggestions appearing?
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1. Check OpenAI API key is configured
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2. Verify WebSocket connection logs show "OpenAI Realtime connected"
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3. Check frontend Socket.IO connection is established
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4. Verify user ID matches between backend and frontend
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### Transcripts not saving?
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1. Check tenant database connection
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2. Verify `calls` table has `ai_transcript` column
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3. Check logs for "Failed to update transcript" errors
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### OpenAI connection fails?
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1. Verify API key is valid
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2. Check model name is correct
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3. Review WebSocket close codes in logs
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## 📝 Files Modified
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**Backend:**
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- `/backend/src/voice/voice.service.ts` - OpenAI integration & AI message handling
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- `/backend/src/voice/voice.controller.ts` - TwiML generation with stream fork
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- `/backend/src/voice/voice.gateway.ts` - Socket.IO event emission
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- `/backend/src/main.ts` - Media stream WebSocket handler
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**Frontend:**
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- `/frontend/components/SoftphoneDialog.vue` - AI suggestions UI
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- `/frontend/composables/useSoftphone.ts` - Socket.IO event handlers
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