84 lines
2.0 KiB
YAML
84 lines
2.0 KiB
YAML
# ============================================================
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# OpenClaw Docker Compose 配置
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#
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# 使用方法:
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# 1. 使用 ~/.openclaw/env + ~/.openclaw/openclaw.json（与命令行安装一致）
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# 2. 运行: docker-compose up -d
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# 3. 升级后建议: openclaw update --restart && openclaw doctor --fix && openclaw plugins update --all
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# 4. 查看日志: docker-compose logs -f
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# ============================================================
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version: '3.8'
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services:
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openclaw:
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build: .
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image: openclaw:latest
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container_name: openclaw
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restart: unless-stopped
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# 环境变量（可选，优先级高于配置文件）
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environment:
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- TZ=Asia/Shanghai
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# 可以通过环境变量设置敏感信息
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# - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
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# - OPENAI_API_KEY=${OPENAI_API_KEY}
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# - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
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# 端口映射
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ports:
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- "18789:18789"
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# 卷挂载
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volumes:
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# 配置和数据持久化
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- ~/.openclaw:/root/.openclaw
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# 可选：挂载自定义技能目录
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# - ./custom-skills:/root/.openclaw/skills
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# 健康检查
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healthcheck:
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test: ["CMD", "openclaw", "health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 10s
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# 日志配置
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logging:
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driver: "json-file"
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options:
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max-size: "10m"
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max-file: "3"
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# 网络配置
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networks:
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- openclaw-network
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# 可选：Ollama 本地模型服务
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# 取消注释以启用本地 AI 模型
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# ollama:
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# image: ollama/ollama:latest
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# container_name: ollama
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# restart: unless-stopped
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# ports:
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# - "11434:11434"
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# volumes:
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# - ollama-data:/root/.ollama
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# networks:
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# - openclaw-network
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# deploy:
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# resources:
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# reservations:
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# devices:
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# - driver: nvidia
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# count: all
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# capabilities: [gpu]
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networks:
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openclaw-network:
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driver: bridge
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# volumes:
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# ollama-data:
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