Docker

快速开始

# Clone and start
git clone https://github.com/simstudioai/sim.git && cd sim
docker compose -f docker-compose.prod.yml up -d

打开 http://localhost:3000

生产环境设置

1. 配置环境

# Generate secrets
cat > .env << EOF
DATABASE_URL=postgresql://postgres:postgres@db:5432/simstudio
BETTER_AUTH_SECRET=$(openssl rand -hex 32)
ENCRYPTION_KEY=$(openssl rand -hex 32)
INTERNAL_API_SECRET=$(openssl rand -hex 32)
NEXT_PUBLIC_APP_URL=https://sim.yourdomain.com
BETTER_AUTH_URL=https://sim.yourdomain.com
NEXT_PUBLIC_SOCKET_URL=https://sim.yourdomain.com
EOF

2. 启动服务

docker compose -f docker-compose.prod.yml up -d

3. 设置 SSL

Caddy 会自动处理 SSL 证书。

# Install Caddy
sudo apt install -y debian-keyring debian-archive-keyring apt-transport-https curl
curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/gpg.key' | sudo gpg --dearmor -o /usr/share/keyrings/caddy-stable-archive-keyring.gpg
curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/debian.deb.txt' | sudo tee /etc/apt/sources.list.d/caddy-stable.list
sudo apt update && sudo apt install caddy

创建 /etc/caddy/Caddyfile：

sim.yourdomain.com {
    reverse_proxy localhost:3000

    handle /socket.io/* {
        reverse_proxy localhost:3002
    }
}

sudo systemctl restart caddy

# Install
sudo apt install nginx certbot python3-certbot-nginx -y

# Create /etc/nginx/sites-available/sim
server {
    listen 80;
    server_name sim.yourdomain.com;

    location / {
        proxy_pass http://127.0.0.1:3000;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection 'upgrade';
        proxy_set_header Host $host;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    location /socket.io/ {
        proxy_pass http://127.0.0.1:3002;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";
    }
}

# Enable and get certificate
sudo ln -s /etc/nginx/sites-available/sim /etc/nginx/sites-enabled/
sudo certbot --nginx -d sim.yourdomain.com

Ollama

# With GPU
docker compose -f docker-compose.ollama.yml --profile gpu --profile setup up -d

# CPU only
docker compose -f docker-compose.ollama.yml --profile cpu --profile setup up -d

拉取其他模型：

docker compose -f docker-compose.ollama.yml exec ollama ollama pull llama3.2

外部 Ollama

如果 Ollama 在您的主机上运行（而不是在 Docker 中）：

# macOS/Windows
OLLAMA_URL=http://host.docker.internal:11434 docker compose -f docker-compose.prod.yml up -d

# Linux - use your host IP
OLLAMA_URL=http://192.168.1.100:11434 docker compose -f docker-compose.prod.yml up -d

在 Docker 内，localhost 指的是容器，而不是您的主机。请使用 host.docker.internal 或您的主机 IP。

命令

# View logs
docker compose -f docker-compose.prod.yml logs -f simstudio

# Stop
docker compose -f docker-compose.prod.yml down

# Update
docker compose -f docker-compose.prod.yml pull && docker compose -f docker-compose.prod.yml up -d

# Backup database
docker compose -f docker-compose.prod.yml exec db pg_dump -U postgres simstudio > backup.sql

Docker

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