527 lines
22 KiB
Plaintext
527 lines
22 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# 🚀 Infrastructure Quick Reference — DAARION & MicroDAO\n",
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"\n",
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"**Версія:** 2.0.0 \n",
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"**Останнє оновлення:** 2025-11-23 \n",
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"\n",
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"Цей notebook містить швидкий довідник по серверах, репозиторіях та endpoints для DAGI Stack.\n",
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"\n",
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"**NEW (v2.0.0):** \n",
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"- ✅ Мультимодальні сервіси (STT, OCR, Web Search, Vector DB) на НОДА2\n",
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"- ✅ Router Multimodal Support (інтеграція в процесі)\n",
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"- ✅ Telegram Gateway Enhanced (STT + Vision)\n",
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"- ✅ Swapper Service інтеграція в кабінети НОД\n",
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"- ✅ Кабінети мікроДАО з оркестраторами\n",
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"- ✅ Оновлення в реальному часі (кожні 30 секунд)\n",
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"- ✅ Управління мікроДАО в кабінеті DAARION"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Service Configuration (UPDATED with Swapper Service + Frontend + Agent Cabinet)\n",
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"SERVICES = {\n",
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" \"router\": {\"port\": 9102, \"container\": \"dagi-router\", \"health\": \"http://localhost:9102/health\"},\n",
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" \"gateway\": {\"port\": 9300, \"container\": \"dagi-gateway\", \"health\": \"http://localhost:9300/health\"},\n",
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" \"devtools\": {\"port\": 8008, \"container\": \"dagi-devtools\", \"health\": \"http://localhost:8008/health\"},\n",
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" \"crewai\": {\"port\": 9010, \"container\": \"dagi-crewai\", \"health\": \"http://localhost:9010/health\"},\n",
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" \"rbac\": {\"port\": 9200, \"container\": \"dagi-rbac\", \"health\": \"http://localhost:9200/health\"},\n",
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" \"rag\": {\"port\": 9500, \"container\": \"dagi-rag-service\", \"health\": \"http://localhost:9500/health\"},\n",
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" \"memory\": {\"port\": 8000, \"container\": \"dagi-memory-service\", \"health\": \"http://localhost:8000/health\"},\n",
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" \"parser\": {\"port\": 9400, \"container\": \"dagi-parser-service\", \"health\": \"http://localhost:9400/health\"},\n",
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" \"swapper\": {\"port\": 8890, \"container\": \"swapper-service\", \"health\": \"http://localhost:8890/health\", \"node1\": \"http://144.76.224.179:8890\", \"node2\": \"http://192.168.1.244:8890\"},\n",
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" \"frontend\": {\"port\": 8899, \"container\": \"frontend\", \"health\": \"http://localhost:8899\"},\n",
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" \"agent_cabinet\": {\"port\": 8898, \"container\": \"agent-cabinet-service\", \"health\": \"http://localhost:8898/health\"},\n",
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" \"postgres\": {\"port\": 5432, \"container\": \"dagi-postgres\", \"health\": None},\n",
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" \"redis\": {\"port\": 6379, \"container\": \"redis\", \"health\": \"redis-cli PING\"},\n",
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" \"neo4j\": {\"port\": 7474, \"container\": \"neo4j\", \"health\": \"http://localhost:7474\"},\n",
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" \"qdrant\": {\"port\": 6333, \"container\": \"dagi-qdrant\", \"health\": \"http://localhost:6333/healthz\"},\n",
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" \"grafana\": {\"port\": 3000, \"container\": \"grafana\", \"health\": \"http://localhost:3000\"},\n",
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" \"prometheus\": {\"port\": 9090, \"container\": \"prometheus\", \"health\": \"http://localhost:9090\"},\n",
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" \"ollama\": {\"port\": 11434, \"container\": \"ollama\", \"health\": \"http://localhost:11434/api/tags\"}\n",
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"}\n",
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"\n",
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"print(\"Service\\t\\t\\tPort\\tContainer\\t\\t\\tHealth Endpoint\")\n",
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"print(\"=\"*100)\n",
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"for name, service in SERVICES.items():\n",
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" health = service['health'] or \"N/A\"\n",
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" gpu = \" [GPU]\" if service.get('gpu') else \"\"\n",
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" print(f\"{name.upper():<20} {service['port']:<7} {service['container']:<30} {health}{gpu}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 🖥️ Network Nodes\n",
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"\n",
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"### Node #1: Production Server (Hetzner)\n",
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"- **Node ID:** node-1-hetzner-gex44\n",
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"- **IP:** 144.76.224.179\n",
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"- **Role:** Production Router + Gateway + All Services (24/7)\n",
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"- **Location:** Hetzner Cloud (Germany)\n",
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"\n",
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"### Node #2: Development Node (MacBook Pro M4 Max)\n",
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"- **Node ID:** node-2-macbook-m4max\n",
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"- **Local IP:** 192.168.1.244\n",
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"- **Role:** Development + Testing + Backup Router\n",
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"- **Specs:** M4 Max (16 cores), 64GB RAM, 2TB SSD, 40-core GPU\n",
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"- **Location:** Local Network (Ivan's Office)\n",
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"- **Docs:** [NODE-2-MACBOOK-SPECS.md](../NODE-2-MACBOOK-SPECS.md)\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Network Nodes Configuration\n",
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"NODES = {\n",
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" \"node-1\": {\n",
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" \"name\": \"Hetzner GEX44\",\n",
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" \"ip\": \"144.76.224.179\",\n",
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" \"local_ip\": None,\n",
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" \"role\": \"production\",\n",
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" \"uptime\": \"24/7\",\n",
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" \"ssh\": \"root@144.76.224.179\",\n",
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" \"domain\": \"gateway.daarion.city\",\n",
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" \"services\": \"All (17 services)\",\n",
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" \"specs\": \"See SYSTEM-INVENTORY.md\"\n",
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" },\n",
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" \"node-2\": {\n",
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" \"name\": \"MacBook Pro M4 Max\",\n",
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" \"ip\": None,\n",
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" \"local_ip\": \"192.168.1.244\",\n",
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" \"role\": \"development\",\n",
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" \"uptime\": \"on-demand\",\n",
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" \"ssh\": \"apple@192.168.1.244\",\n",
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" \"domain\": None,\n",
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" \"services\": \"Core only (Router, DevTools, Memory, Ollama)\",\n",
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" \"specs\": \"M4 Max, 16 cores, 64GB RAM, 2TB SSD, 40-core GPU\"\n",
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" }\n",
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"}\n",
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"\n",
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"print(\"DAGI Stack Network Nodes:\")\n",
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"print(\"=\"*80)\n",
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"for node_id, node in NODES.items():\n",
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" print(f\"\\n{node_id.upper()}: {node['name']}\")\n",
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" print(f\" Role: {node['role']}\")\n",
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" print(f\" IP: {node['ip'] or node['local_ip']}\")\n",
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" print(f\" SSH: {node['ssh']}\")\n",
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" print(f\" Uptime: {node['uptime']}\")\n",
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" print(f\" Services: {node['services']}\")\n",
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" if node['domain']:\n",
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" print(f\" Domain: https://{node['domain']}\")\n",
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" print(f\" Specs: {node['specs']}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 🐙 GitHub Repositories\n",
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"\n",
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"### 1. MicroDAO (Current Project)\n",
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"- **Repository:** `git@github.com:IvanTytar/microdao-daarion.git`\n",
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"- **HTTPS:** `https://github.com/IvanTytar/microdao-daarion.git`\n",
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"- **Remote Name:** `origin`\n",
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"- **Main Branch:** `main`\n",
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"- **Purpose:** MicroDAO core code, DAGI Stack, documentation\n",
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"\n",
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"### 2. DAARION.city\n",
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"- **Repository:** `git@github.com:DAARION-DAO/daarion-ai-city.git`\n",
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"- **HTTPS:** `https://github.com/DAARION-DAO/daarion-ai-city.git`\n",
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"- **Remote Name:** `daarion-city`\n",
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"- **Main Branch:** `main`\n",
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"- **Purpose:** Official DAARION.city website and integrations\n",
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"\n",
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"---\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# GitHub Repositories Configuration\n",
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"REPOSITORIES = {\n",
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" \"microdao-daarion\": {\n",
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" \"name\": \"MicroDAO\",\n",
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" \"ssh_url\": \"git@github.com:IvanTytar/microdao-daarion.git\",\n",
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" \"https_url\": \"https://github.com/IvanTytar/microdao-daarion.git\",\n",
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" \"remote_name\": \"origin\",\n",
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" \"main_branch\": \"main\",\n",
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" \"purpose\": \"MicroDAO core code, DAGI Stack, documentation\",\n",
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" \"clone_cmd\": \"git clone git@github.com:IvanTytar/microdao-daarion.git\"\n",
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" },\n",
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" \"daarion-ai-city\": {\n",
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" \"name\": \"DAARION.city\",\n",
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" \"ssh_url\": \"git@github.com:DAARION-DAO/daarion-ai-city.git\",\n",
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" \"https_url\": \"https://github.com/DAARION-DAO/daarion-ai-city.git\",\n",
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" \"remote_name\": \"daarion-city\",\n",
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" \"main_branch\": \"main\",\n",
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" \"purpose\": \"Official DAARION.city website and integrations\",\n",
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" \"clone_cmd\": \"git clone git@github.com:DAARION-DAO/daarion-ai-city.git\"\n",
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" }\n",
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"}\n",
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"\n",
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"print(\"GitHub Repositories:\")\n",
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"print(\"=\"*80)\n",
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"for repo_id, repo in REPOSITORIES.items():\n",
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" print(f\"\\n{repo['name']} ({repo_id})\")\n",
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" print(f\" SSH URL: {repo['ssh_url']}\")\n",
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" print(f\" HTTPS URL: {repo['https_url']}\")\n",
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" print(f\" Remote: {repo['remote_name']}\")\n",
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" print(f\" Branch: {repo['main_branch']}\")\n",
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" print(f\" Purpose: {repo['purpose']}\")\n",
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" print(f\" Clone: {repo['clone_cmd']}\")\n",
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"\n",
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"print(\"\\n\" + \"=\"*80)\n",
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"print(\"\\nQuick Commands:\")\n",
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"print(\"\\n# Clone MicroDAO:\")\n",
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"print(\"git clone git@github.com:IvanTytar/microdao-daarion.git\")\n",
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"print(\"\\n# Clone DAARION.city:\")\n",
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"print(\"git clone git@github.com:DAARION-DAO/daarion-ai-city.git\")\n",
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"print(\"\\n# Add DAARION.city as remote to MicroDAO:\")\n",
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"print(\"cd microdao-daarion\")\n",
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"print(\"git remote add daarion-city git@github.com:DAARION-DAO/daarion-ai-city.git\")\n",
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"print(\"git fetch daarion-city\")\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 🎨 Vision Encoder Service (NEW)\n",
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"\n",
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"### Overview\n",
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"- **Service:** Vision Encoder (OpenCLIP ViT-L/14)\n",
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"- **Port:** 8001\n",
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"- **GPU:** Required (NVIDIA CUDA)\n",
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"- **Embedding Dimension:** 768\n",
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"- **Vector DB:** Qdrant (port 6333/6334)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Vision Encoder Configuration\n",
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"VISION_ENCODER = {\n",
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" \"service\": \"vision-encoder\",\n",
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" \"port\": 8001,\n",
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" \"container\": \"dagi-vision-encoder\",\n",
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" \"gpu_required\": True,\n",
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" \"model\": \"ViT-L-14\",\n",
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" \"pretrained\": \"openai\",\n",
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" \"embedding_dim\": 768,\n",
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" \"endpoints\": {\n",
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" \"health\": \"http://localhost:8001/health\",\n",
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" \"info\": \"http://localhost:8001/info\",\n",
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" \"embed_text\": \"http://localhost:8001/embed/text\",\n",
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" \"embed_image\": \"http://localhost:8001/embed/image\",\n",
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" \"docs\": \"http://localhost:8001/docs\"\n",
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" },\n",
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" \"qdrant\": {\n",
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" \"host\": \"qdrant\",\n",
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" \"port\": 6333,\n",
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" \"grpc_port\": 6334,\n",
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" \"health\": \"http://localhost:6333/healthz\"\n",
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" }\n",
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"}\n",
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"\n",
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"print(\"Vision Encoder Service Configuration:\")\n",
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"print(\"=\"*80)\n",
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"print(f\"Model: {VISION_ENCODER['model']} ({VISION_ENCODER['pretrained']})\")\n",
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"print(f\"Embedding Dimension: {VISION_ENCODER['embedding_dim']}\")\n",
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"print(f\"GPU Required: {VISION_ENCODER['gpu_required']}\")\n",
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"print(f\"\\nEndpoints:\")\n",
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"for name, url in VISION_ENCODER['endpoints'].items():\n",
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" print(f\" {name:15} {url}\")\n",
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"print(f\"\\nQdrant Vector DB:\")\n",
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"print(f\" HTTP: http://localhost:{VISION_ENCODER['qdrant']['port']}\")\n",
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"print(f\" gRPC: localhost:{VISION_ENCODER['qdrant']['grpc_port']}\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Vision Encoder Testing Commands\n",
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"VISION_ENCODER_TESTS = {\n",
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" \"Health Check\": \"curl http://localhost:8001/health\",\n",
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" \"Model Info\": \"curl http://localhost:8001/info\",\n",
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" \"Text Embedding\": '''curl -X POST http://localhost:8001/embed/text -H \"Content-Type: application/json\" -d '{\"text\": \"DAARION governance\", \"normalize\": true}' ''',\n",
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" \"Image Embedding\": '''curl -X POST http://localhost:8001/embed/image -H \"Content-Type: application/json\" -d '{\"image_url\": \"https://example.com/image.jpg\", \"normalize\": true}' ''',\n",
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" \"Via Router (Text)\": '''curl -X POST http://localhost:9102/route -H \"Content-Type: application/json\" -d '{\"mode\": \"vision_embed\", \"message\": \"embed text\", \"payload\": {\"operation\": \"embed_text\", \"text\": \"test\", \"normalize\": true}}' ''',\n",
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" \"Qdrant Health\": \"curl http://localhost:6333/healthz\",\n",
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" \"Run Smoke Tests\": \"./test-vision-encoder.sh\"\n",
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"}\n",
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"\n",
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"print(\"Vision Encoder Testing Commands:\")\n",
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"print(\"=\"*80)\n",
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"for name, cmd in VISION_ENCODER_TESTS.items():\n",
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" print(f\"\\n{name}:\")\n",
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" print(f\" {cmd}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 📖 Documentation Links (UPDATED)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Documentation References (UPDATED)\n",
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"DOCS = {\n",
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" \"Main Guide\": \"../WARP.md\",\n",
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" \"Infrastructure\": \"../INFRASTRUCTURE.md\",\n",
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" \"Agents Map\": \"../docs/agents.md\",\n",
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" \"RAG Ingestion Status\": \"../RAG-INGESTION-STATUS.md\",\n",
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" \"HMM Memory Status\": \"../HMM-MEMORY-STATUS.md\",\n",
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" \"Crawl4AI Status\": \"../CRAWL4AI-STATUS.md\",\n",
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" \"Vision Encoder Status\": \"../VISION-ENCODER-STATUS.md\",\n",
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" \"Vision Encoder Deployment\": \"../services/vision-encoder/README.md\",\n",
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" \"Repository Management\": \"../DAARION_CITY_REPO.md\",\n",
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" \"Server Setup\": \"../SERVER_SETUP_INSTRUCTIONS.md\",\n",
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" \"Deployment\": \"../DEPLOY-NOW.md\",\n",
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" \"Helion Status\": \"../STATUS-HELION.md\",\n",
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" \"Architecture Index\": \"../docs/cursor/README.md\",\n",
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" \"API Reference\": \"../docs/api.md\",\n",
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" \"Node #2 Specs\": \"../NODE-2-MACBOOK-SPECS.md\"\n",
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"}\n",
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"\n",
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"print(\"Documentation Quick Links:\")\n",
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"print(\"=\"*80)\n",
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"for name, path in DOCS.items():\n",
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" print(f\"{name:<30} {path}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## 🎤 Мультимодальні Сервіси (НОДА2)\n",
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"\n",
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"Нові сервіси для розширення можливостей агентів:\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"\n",
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"multimodal_services = {\n",
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" \"STT Service\": {\n",
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" \"url\": \"http://192.168.1.244:8895\",\n",
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" \"technology\": \"OpenAI Whisper AI\",\n",
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" \"features\": [\"Voice→Text\", \"Ukrainian/English/Russian\", \"Telegram integration\"],\n",
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" \"endpoints\": [\"/api/stt\", \"/api/stt/upload\", \"/health\"],\n",
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" \"status\": \"✅ Ready\"\n",
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" },\n",
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" \"OCR Service\": {\n",
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" \"url\": \"http://192.168.1.244:8896\",\n",
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" \"technology\": \"Tesseract + EasyOCR\",\n",
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" \"features\": [\"Image→Text\", \"Bounding boxes\", \"6 languages\", \"Confidence scores\"],\n",
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" \"endpoints\": [\"/api/ocr\", \"/api/ocr/upload\", \"/health\"],\n",
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" \"status\": \"✅ Ready\"\n",
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" },\n",
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" \"Web Search\": {\n",
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" \"url\": \"http://192.168.1.244:8897\",\n",
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" \"technology\": \"DuckDuckGo + Google\",\n",
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" \"features\": [\"Real-time search\", \"Region-specific\", \"10+ results\"],\n",
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" \"endpoints\": [\"/api/search\", \"/health\"],\n",
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" \"status\": \"✅ Ready\"\n",
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" },\n",
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" \"Vector DB\": {\n",
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" \"url\": \"http://192.168.1.244:8898\",\n",
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" \"technology\": \"ChromaDB + Sentence Transformers\",\n",
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" \"features\": [\"Vector database\", \"Semantic search\", \"RAG support\"],\n",
|
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" \"endpoints\": [\"/api/collections\", \"/api/documents\", \"/api/search\", \"/health\"],\n",
|
||
" \"status\": \"✅ Ready\"\n",
|
||
" }\n",
|
||
"}\n",
|
||
"\n",
|
||
"pd.DataFrame(multimodal_services).T\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"ейсу"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"vision_agents = {\n",
|
||
" \"Sofia\": {\n",
|
||
" \"model\": \"grok-4.1\",\n",
|
||
" \"provider\": \"xAI\",\n",
|
||
" \"supports_vision\": True,\n",
|
||
" \"supports_files\": True,\n",
|
||
" \"description\": \"Vision + Code analysis\"\n",
|
||
" },\n",
|
||
" \"Spectra\": {\n",
|
||
" \"model\": \"qwen3-vl:latest\",\n",
|
||
" \"provider\": \"Ollama\",\n",
|
||
" \"supports_vision\": True,\n",
|
||
" \"supports_files\": False,\n",
|
||
" \"description\": \"Vision + Language\"\n",
|
||
" }\n",
|
||
"}\n",
|
||
"\n",
|
||
"pd.DataFrame(vision_agents).T\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 📊 Всі порти сервісів (оновлено)\n",
|
||
"\n",
|
||
"Повний список всіх сервісів з портами:\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"all_ports = {\n",
|
||
" \"Frontend\": {\"port\": 8899, \"node\": \"Local\", \"status\": \"✅ Active\"},\n",
|
||
" \"STT Service\": {\"port\": 8895, \"node\": \"НОДА2\", \"status\": \"✅ Ready\"},\n",
|
||
" \"OCR Service\": {\"port\": 8896, \"node\": \"НОДА2\", \"status\": \"✅ Ready\"},\n",
|
||
" \"Web Search\": {\"port\": 8897, \"node\": \"НОДА2\", \"status\": \"✅ Ready\"},\n",
|
||
" \"Vector DB\": {\"port\": 8898, \"node\": \"НОДА2\", \"status\": \"✅ Ready\"},\n",
|
||
" \"Router\": {\"port\": 9102, \"node\": \"NODE1\", \"status\": \"🔄 Multimodal\"},\n",
|
||
" \"Telegram Gateway\": {\"port\": 9200, \"node\": \"NODE1\", \"status\": \"🔄 Enhanced\"},\n",
|
||
" \"Swapper NODE1\": {\"port\": 8890, \"node\": \"NODE1\", \"status\": \"✅ Active\"},\n",
|
||
" \"Swapper NODE2\": {\"port\": 8890, \"node\": \"НОДА2\", \"status\": \"✅ Active\"},\n",
|
||
" \"Agent Cabinet\": {\"port\": 8898, \"node\": \"Local\", \"status\": \"✅ Active\"},\n",
|
||
" \"Memory Service\": {\"port\": 8000, \"node\": \"NODE1/2\", \"status\": \"✅ Active\"}\n",
|
||
"}\n",
|
||
"\n",
|
||
"pd.DataFrame(all_ports).T\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 🔄 Мультимодальні можливості\n",
|
||
"\n",
|
||
"Статус інтеграції різних типів контенту:\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"multimodal_capabilities = {\n",
|
||
" \"Текст\": {\"frontend\": \"✅\", \"telegram\": \"✅\", \"status\": \"ПРАЦЮЄ\"},\n",
|
||
" \"Голос→Текст\": {\"frontend\": \"✅\", \"telegram\": \"🔄\", \"status\": \"ІНТЕГРАЦІЯ\"},\n",
|
||
" \"Зображення→Vision\": {\"frontend\": \"✅\", \"telegram\": \"🔄\", \"status\": \"ІНТЕГРАЦІЯ\"},\n",
|
||
" \"Зображення→OCR\": {\"frontend\": \"✅\", \"telegram\": \"🔄\", \"status\": \"ІНТЕГРАЦІЯ\"},\n",
|
||
" \"Документи\": {\"frontend\": \"✅\", \"telegram\": \"⚠️\", \"status\": \"ЧАСТКОВА\"},\n",
|
||
" \"Веб-пошук\": {\"frontend\": \"✅\", \"telegram\": \"🔄\", \"status\": \"ІНТЕГРАЦІЯ\"},\n",
|
||
" \"Knowledge Base\": {\"frontend\": \"✅\", \"telegram\": \"❌\", \"status\": \"ГОТОВИЙ\"}\n",
|
||
"}\n",
|
||
"\n",
|
||
"pd.DataFrame(multimodal_capabilities).T\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 📝 Notes & Updates\n",
|
||
"\n",
|
||
"### Recent Changes (2025-11-23)\n",
|
||
"- ✅ **Swapper Service інтеграція** в кабінети НОД (тільки в `/nodes/node-1`, `/nodes/node-2`)\n",
|
||
"- ✅ **Оновлення в реальному часі** (кожні 30 секунд) для Swapper Service\n",
|
||
"- ✅ **Кабінети мікроДАО** з оркестраторами (DAARION, GREENFOOD, ENERGY UNION)\n",
|
||
"- ✅ **Управління мікроДАО** в кабінеті DAARION (панель управління всіма мікроДАО)\n",
|
||
"- ✅ **Детальні метрики Swapper Service** (моделі, спеціалісти, конфігурація)\n",
|
||
"- ✅ **Frontend** (port 8899) з кабінетами НОД та мікроДАО\n",
|
||
"- ✅ **Agent Cabinet Service** (port 8898) для метрик агентів\n",
|
||
"\n",
|
||
"### Network Architecture\n",
|
||
"- **Nodes:** 2 (1 production + 1 development)\n",
|
||
"- **Total Services:** 19 (додано Frontend + Agent Cabinet)\n",
|
||
"- **Swapper Service:** Тільки в кабінетах НОД, оновлення в реальному часі\n",
|
||
"- **MicroDAO Cabinets:** 3 (DAARION, GREENFOOD, ENERGY UNION)\n",
|
||
"- **Node Cabinets:** 2 (НОДА1, НОДА2)\n",
|
||
"\n",
|
||
"### Кабінети НОД\n",
|
||
"- **НОДА1:** `http://localhost:8899/nodes/node-1`\n",
|
||
"- **НОДА2:** `http://localhost:8899/nodes/node-2`\n",
|
||
"- **Swapper Service:** Відображається тільки тут, оновлення кожні 30 секунд\n",
|
||
"\n",
|
||
"### Кабінети МікроДАО\n",
|
||
"- **DAARION:** `http://localhost:8899/microdao/daarion` (оркестратор: DAARWIZZ)\n",
|
||
"- **GREENFOOD:** `http://localhost:8899/microdao/greenfood` (оркестратор: GREENFOOD)\n",
|
||
"- **ENERGY UNION:** `http://localhost:8899/microdao/energy-union` (оркестратор: Helion)\n",
|
||
"\n",
|
||
"---\n",
|
||
"\n",
|
||
"**Last Updated:** 2025-11-23 by Auto AI \n",
|
||
"**Maintained by:** Ivan Tytar & DAARION Team"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.11.0"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 4
|
||
}
|