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TFGrid AI Stack Pattern

Complete AI development platform with integrated Git hosting

The TFGrid AI Stack pattern deploys a comprehensive AI-powered development environment on ThreeFold Grid, combining AI coding assistance, Git hosting, and monitoring in a single deployment.


Overview

Internet
[Gateway VM] ← nginx, APIs, monitoring, SSL
    ↓ (WireGuard VPN)
[AI Agent VM] ← project creation, code generation
[Gitea VM] ← Git repositories, web interface

Perfect For:

  • AI-assisted development workflows
  • Team development environments
  • Self-hosted code generation platforms
  • Complete development stacks

Quick Start

tfgrid-compose up tfgrid-ai-stack

Deploy time: ~10 minutes
Cost: ~$15-20/month


Features

  • 🤖 AI-Powered Development - Create projects with AI assistance using Qwen
  • 📦 Integrated Git Hosting - Built-in Gitea for version control
  • 🌐 Public Deployment - Automatic web deployment with SSL
  • 📊 Monitoring - Prometheus + Grafana dashboards
  • 🔒 Secure Networking - WireGuard VPN for inter-VM communication
  • One-Click Deployment - Single command setup
  • 🔄 Automated Backups - Scheduled backups with retention policies

Architecture

Components

Component Purpose Default Resources
Gateway VM Public API gateway, nginx, monitoring, SSL 2 CPU, 4GB RAM
AI Agent VM Project creation, code generation 4 CPU, 8GB RAM
Gitea VM Git repositories, web interface 2 CPU, 4GB RAM

Network Flow

User Request → Gateway VM (Public IPv4)
              nginx reverse proxy
         ┌─────────┴─────────┐
         ↓                   ↓
    AI Agent API        Gitea Web
    (WireGuard)        (WireGuard)

All inter-VM communication uses WireGuard VPN for security.


Usage

Deploy

# Deploy with defaults
tfgrid-compose up tfgrid-ai-stack

# Deploy with custom domain
tfgrid-compose up tfgrid-ai-stack --var domain=ai.example.com --var ssl_email=admin@example.com

Authenticate with Qwen

tfgrid-compose login

Create a Project

# Interactive project creation
tfgrid-compose create

# Or with arguments
tfgrid-compose create my-portfolio "A personal portfolio website"

Manage Projects

# List all projects
tfgrid-compose projects

# Monitor a project
tfgrid-compose monitor my-portfolio

# View project logs
tfgrid-compose logs my-portfolio

# Stop a project
tfgrid-compose stop my-portfolio

# Remove a project
tfgrid-compose remove my-portfolio

Access Services

# Open web interface in browser
tfgrid-compose launch

# Get deployment addresses
tfgrid-compose address

# SSH into the stack
tfgrid-compose ssh

Backup & Restore

# Manual backup
tfgrid-compose backup

# Restore from backup
tfgrid-compose restore backup-2025-12-06.tar.gz

Configuration

Variables

Variable Type Default Description
domain string "" Domain for public access
ssl_email string "" Email for SSL certificate
vm_cpu number 8 Total CPU cores
vm_memory number 16384 Total memory (MB)
vm_disk number 200 Total disk (GB)

Environment Variables

Variable Default Description
API_RATE_LIMIT 100r/m API rate limiting
BACKUP_RETENTION_DAYS 30 Backup retention period
BACKUP_SCHEDULE 0 2 * * * Backup cron schedule

Custom Commands

The TFGrid AI Stack provides extensive custom commands:

Project Management

Command Description
create Create a new AI coding project
run Start agent loop for a project
stop Stop agent loop for a project
monitor Monitor project progress
projects Show status of all projects
remove Delete a project
logs View project logs
summary Show project summary
restart Restart agent for a project
stopall Stop all running projects

Authentication

Command Description
login Authenticate with Qwen (OAuth)
whoami Check Qwen authentication status

Hosting

Command Description
publish Publish project for web hosting
unpublish Remove project from web hosting
hosting-status Show hosting status

System

Command Description
launch Open web interface in browser
status Show system status
backup Trigger manual backup
restore Restore from backup
set-gitea Configure Gitea organization

Resource Requirements

Minimum

  • CPU: 8 cores
  • Memory: 16 GB
  • Disk: 200 GB
  • CPU: 8+ cores
  • Memory: 16+ GB
  • Disk: 200+ GB

Comparison with Other Patterns

Feature single-vm gateway k3s tfgrid-ai-stack
VMs 1 2+ 3+ 3
Public IPv4 Optional Optional
SSL Manual Via Ingress
AI Integration
Git Hosting
Monitoring Optional
Deploy Time 2-3 min 5-7 min 8-10 min ~10 min

Troubleshooting

Authentication Issues

# Re-authenticate with Qwen
tfgrid-compose login

# Check authentication status
tfgrid-compose whoami

Project Not Starting

# Check project status
tfgrid-compose projects

# View logs
tfgrid-compose logs my-project

# Restart the project
tfgrid-compose restart my-project

Network Issues

# Check WireGuard status
tfgrid-compose ssh
sudo wg show

# Check service status
systemctl status nginx
systemctl status gitea

Full Documentation


Next Steps

TFGrid Studio Ecosystem

Integrated tools and resources