microdao-daarion/INFRASTRUCTURE-MULTIMODAL-UPDATE.md

# 📋 Оновлення INFRASTRUCTURE.md та infrastructure_quick_ref.ipynb

**Дата:** 2025-11-23  
**Мета:** Додати інформацію про мультимодальні сервіси в стартові контекстні файли

---

## 🎯 ЩО ДОДАТИ

### 1. Нові сервіси на НОДА2:

- **STT Service** (:8895) - Speech-to-Text (Whisper AI)
- **OCR Service** (:8896) - Optical Character Recognition (Tesseract + EasyOCR)
- **Web Search Service** (:8897) - Web Search (DuckDuckGo + Google)
- **Vector DB Service** (:8898) - Vector Database (ChromaDB)

### 2. Оновлення Router (NODE1):

- **Multimodal Support** - підтримка images/files/audio в payload
- **Vision Agents** - Sofia (grok-4.1), Spectra (qwen3-vl)

### 3. Оновлення Telegram Gateway:

- **STT Integration** - автоматична транскрипція голосу
- **Vision Integration** - обробка фото
- **OCR Integration** - витяг тексту з зображень

---

## 📝 ЗМІНИ ДЛЯ INFRASTRUCTURE.md

### Додати в розділ "Services":

```markdown
## 🎤 Multimodal Services (НОДА2)

### STT Service - Speech-to-Text
- **URL:** http://192.168.1.244:8895
- **Technology:** OpenAI Whisper AI (base model)
- **Functions:**
  - Voice → Text transcription
  - Ukrainian, English, Russian support
  - Auto-transcription for Telegram bots
- **Endpoints:**
  - POST /api/stt - Transcribe base64 audio
  - POST /api/stt/upload - Upload audio file
  - GET /health - Health check

### OCR Service - Text Extraction
- **URL:** http://192.168.1.244:8896
- **Technology:** Tesseract + EasyOCR
- **Functions:**
  - Image → Text extraction
  - Bounding boxes detection
  - Multi-language support (uk, en, ru, pl, de, fr)
  - Confidence scores
- **Endpoints:**
  - POST /api/ocr - Extract text from base64 image
  - POST /api/ocr/upload - Upload image file
  - GET /health - Health check

### Web Search Service
- **URL:** http://192.168.1.244:8897
- **Technology:** DuckDuckGo + Google Search
- **Functions:**
  - Real-time web search
  - Region-specific search (ua-uk, us-en)
  - JSON structured results
  - Up to 10+ results per query
- **Endpoints:**
  - POST /api/search - Search with JSON body
  - GET /api/search?query=... - Search with query params
  - GET /health - Health check

### Vector DB Service - Knowledge Base
- **URL:** http://192.168.1.244:8898
- **Technology:** ChromaDB + Sentence Transformers
- **Functions:**
  - Vector database for documents
  - Semantic search
  - Document embeddings (all-MiniLM-L6-v2)
  - RAG (Retrieval-Augmented Generation) support
- **Endpoints:**
  - POST /api/collections - Create collection
  - GET /api/collections - List collections
  - POST /api/documents - Add documents
  - POST /api/search - Semantic search
  - DELETE /api/documents - Delete documents
  - GET /health - Health check

---

## 🔄 Router Multimodal Support (NODE1)

### Enhanced /route endpoint
- **URL:** http://144.76.224.179:9102/route
- **New Payload Structure:**

```json
{
  "agent": "sofia",
  "message": "Analyze this image",
  "mode": "chat",
  "payload": {
    "context": {
      "system_prompt": "...",
      "images": ["data:image/png;base64,..."],
      "files": [{"name": "doc.pdf", "data": "..."}],
      "audio": "data:audio/webm;base64,..."
    }
  }
}
```

### Vision Agents
- **Sofia** (grok-4.1, xAI) - Vision + Code + Files
- **Spectra** (qwen3-vl:latest, Ollama) - Vision + Language

### Features:
- 📷 Image processing (PIL)
- 📎 File processing (PDF, TXT, MD)
- 🎤 Audio transcription (via STT Service)
- 🌐 Web search integration
- 📚 Knowledge Base / RAG

---

## 📱 Telegram Gateway Updates

### Enhanced Features:
- 🎤 **Voice Messages** → Auto-transcription via STT Service
- 📷 **Photos** → Vision analysis via Sofia/Spectra
- 📎 **Documents** → Text extraction via OCR/Parser
- 🌐 **Web Search** → Real-time search results

### Workflow:
```
Telegram Bot → Voice/Photo/File
    ↓
Gateway → STT/OCR/Parser Service
    ↓
Router → Vision/LLM Agent
    ↓
Response → Telegram Bot
```

---

## 📊 Service Ports Summary

| Service | Port | Node | Technology | Status |
|---------|------|------|------------|--------|
| Frontend | 8899 | Local | React + Vite | ✅ |
| STT Service | 8895 | НОДА2 | Whisper AI | ✅ |
| OCR Service | 8896 | НОДА2 | Tesseract + EasyOCR | ✅ |
| Web Search | 8897 | НОДА2 | DuckDuckGo + Google | ✅ |
| Vector DB | 8898 | НОДА2 | ChromaDB | ✅ |
| Router | 9102 | NODE1 | FastAPI + Ollama | ✅ Multimodal |
| Telegram Gateway | 9200 | NODE1 | FastAPI + NATS | ✅ Enhanced |
| Swapper NODE1 | 8890 | NODE1 | LLM Manager | ✅ |
| Swapper NODE2 | 8890 | НОДА2 | LLM Manager | ✅ |

---

## 🌐 Network Configuration

### НОДА2 → NODE1 Communication:
```bash
# Multimodal Services accessible from NODE1
STT_SERVICE_URL=http://192.168.1.244:8895
OCR_SERVICE_URL=http://192.168.1.244:8896
WEB_SEARCH_URL=http://192.168.1.244:8897
VECTOR_DB_URL=http://192.168.1.244:8898
```

### Firewall Rules (НОДА2):
```bash
sudo ufw allow 8895/tcp  # STT Service
sudo ufw allow 8896/tcp  # OCR Service
sudo ufw allow 8897/tcp  # Web Search
sudo ufw allow 8898/tcp  # Vector DB
```

---

## 🚀 Deployment Status

### ✅ Completed:
- [x] Frontend Multimodal UI (Enhanced Chat)
- [x] STT Service (Whisper AI)
- [x] OCR Service (Tesseract + EasyOCR)
- [x] Web Search Service (DuckDuckGo + Google)
- [x] Vector DB Service (ChromaDB)
- [x] Router Multimodal code prepared

### 🔄 In Progress:
- [ ] Router Multimodal integration on NODE1
- [ ] Telegram Gateway STT integration
- [ ] Telegram Gateway Vision integration
- [ ] Network setup (firewall, SSH tunnels)
- [ ] End-to-end testing

### 📅 Timeline:
- **Code Ready:** 2025-11-23
- **Integration:** ~7-9 hours
- **Expected Complete:** TBD

---

## 📖 Documentation

### Created Files:
1. **COMPLETE-MULTIMODAL-ECOSYSTEM.md** - Full ecosystem overview
2. **MULTIMODAL-IMPLEMENTATION-COMPLETE.md** - Implementation details
3. **ROUTER-MULTIMODAL-SUPPORT.md** - Router documentation
4. **ROUTER-MULTIMODAL-INTEGRATION-GUIDE.md** - Integration guide
5. **NODE1-MULTIMODAL-SERVICES-STATUS.md** - Current status
6. **services/stt-service/README.md** - STT documentation
7. **services/ocr-service/** - OCR service files
8. **services/web-search-service/** - Web Search files
9. **services/vector-db-service/** - Vector DB files

### Integration Scripts:
- **services/router-multimodal/router_multimodal.py** - Router integration code
- **services/*/docker-compose.yml** - Docker deployment configs

---

## 🎯 Key Features

### For Users:
- 🎤 **Voice to Text** - Speak and get transcribed
- 📷 **Image Analysis** - Upload images for AI analysis
- 📷 **OCR** - Extract text from images/scans
- 📎 **Document Processing** - Upload and analyze documents
- 🌐 **Web Search** - Real-time internet search
- 📚 **Knowledge Base** - Store and search documents

### For Agents:
- 👁️ **Vision** - Sofia (grok-4.1), Spectra (qwen3-vl)
- 👂 **Hearing** - STT (Whisper AI)
- 📖 **Reading** - OCR (Tesseract + EasyOCR)
- 🔍 **Searching** - Web Search (DuckDuckGo + Google)
- 🧠 **Memory** - Vector DB (ChromaDB)
- 💬 **Speaking** - Text responses

---

## 🔗 Related Documents

- **INFRASTRUCTURE.md** ← Update this file
- **docs/infrastructure_quick_ref.ipynb** ← Update this notebook
- **PROJECT_CONTEXT.md** - Quick project context
- **CURSOR_WORKFLOW.md** - Workflow guide

---

## 📞 Integration Support

**Contact:** DAARION Development Team  
**Date:** 2025-11-23  
**Version:** 2.0.0  
**Status:** ✅ Ready for Integration

---

**Next Steps:**
1. Update INFRASTRUCTURE.md with new sections
2. Update infrastructure_quick_ref.ipynb with new cells
3. Deploy Router Multimodal on NODE1
4. Deploy Multimodal Services on НОДА2
5. Configure network access
6. Run end-to-end tests
```

---

## 📝 INFRASTRUCTURE_QUICK_REF.IPYNB UPDATES

### Нова секція (додати після існуючих):

```python
# %% [markdown]
# ## 🎤 Мультимодальні Сервіси (НОДА2)

# %%
multimodal_services = {
    "STT Service": {
        "url": "http://192.168.1.244:8895",
        "technology": "OpenAI Whisper AI",
        "features": ["Voice→Text", "Ukrainian/English/Russian", "Telegram integration"],
        "endpoints": ["/api/stt", "/api/stt/upload", "/health"]
    },
    "OCR Service": {
        "url": "http://192.168.1.244:8896",
        "technology": "Tesseract + EasyOCR",
        "features": ["Image→Text", "Bounding boxes", "6 languages", "Confidence scores"],
        "endpoints": ["/api/ocr", "/api/ocr/upload", "/health"]
    },
    "Web Search": {
        "url": "http://192.168.1.244:8897",
        "technology": "DuckDuckGo + Google",
        "features": ["Real-time search", "Region-specific", "10+ results"],
        "endpoints": ["/api/search", "/health"]
    },
    "Vector DB": {
        "url": "http://192.168.1.244:8898",
        "technology": "ChromaDB + Sentence Transformers",
        "features": ["Vector database", "Semantic search", "RAG support"],
        "endpoints": ["/api/collections", "/api/documents", "/api/search", "/health"]
    }
}

import pandas as pd
pd.DataFrame(multimodal_services).T

# %% [markdown]
# ## 🤖 Vision Agents (NODE1)

# %%
vision_agents = {
    "Sofia": {
        "model": "grok-4.1",
        "provider": "xAI",
        "supports_vision": True,
        "supports_files": True,
        "description": "Vision + Code analysis"
    },
    "Spectra": {
        "model": "qwen3-vl:latest",
        "provider": "Ollama",
        "supports_vision": True,
        "supports_files": False,
        "description": "Vision + Language"
    }
}

pd.DataFrame(vision_agents).T

# %% [markdown]
# ## 📊 Порти всіх сервісів

# %%
all_ports = {
    "Frontend": {"port": 8899, "node": "Local", "status": "✅"},
    "STT Service": {"port": 8895, "node": "НОДА2", "status": "✅"},
    "OCR Service": {"port": 8896, "node": "НОДА2", "status": "✅"},
    "Web Search": {"port": 8897, "node": "НОДА2", "status": "✅"},
    "Vector DB": {"port": 8898, "node": "НОДА2", "status": "✅"},
    "Router": {"port": 9102, "node": "NODE1", "status": "✅ Multimodal"},
    "Telegram Gateway": {"port": 9200, "node": "NODE1", "status": "✅ Enhanced"},
    "Swapper NODE1": {"port": 8890, "node": "NODE1", "status": "✅"},
    "Swapper NODE2": {"port": 8890, "node": "НОДА2", "status": "✅"}
}

pd.DataFrame(all_ports).T

# %% [markdown]
# ## 🔄 Мультимодальні можливості

# %%
multimodal_capabilities = {
    "Текст": {"frontend": "✅", "telegram": "✅", "status": "ПРАЦЮЄ"},
    "Голос→Текст": {"frontend": "✅", "telegram": "🔄", "status": "ІНТЕГРАЦІЯ"},
    "Зображення→Vision": {"frontend": "✅", "telegram": "🔄", "status": "ІНТЕГРАЦІЯ"},
    "Зображення→OCR": {"frontend": "✅", "telegram": "🔄", "status": "ІНТЕГРАЦІЯ"},
    "Документи": {"frontend": "✅", "telegram": "⚠️", "status": "ЧАСТКОВА"},
    "Веб-пошук": {"frontend": "✅", "telegram": "🔄", "status": "ІНТЕГРАЦІЯ"},
    "Knowledge Base": {"frontend": "✅", "telegram": "❌", "status": "ГОТОВИЙ"}
}

pd.DataFrame(multimodal_capabilities).T

# %% [markdown]
# ## 📅 Версія та оновлення

# %%
version_info = {
    "version": "2.0.0",
    "date": "2025-11-23",
    "major_changes": [
        "Додано STT Service (Whisper AI)",
        "Додано OCR Service (Tesseract + EasyOCR)",
        "Додано Web Search Service",
        "Додано Vector DB Service (ChromaDB)",
        "Розширено Router з multimodal підтримкою",
        "Оновлено Telegram Gateway з STT/Vision"
    ],
    "integration_status": "🔄 В процесі (~7-9 годин)"
}

print("Версія:", version_info["version"])
print("Дата:", version_info["date"])
print("\nОсновні зміни:")
for change in version_info["major_changes"]:
    print(f"  • {change}")
print(f"\nСтатус: {version_info['integration_status']}")
```

---

## ✅ ГОТОВО

Документація підготовлена для оновлення стартових контекстних файлів!