
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
This is an AI agent service based on OpenClaw, integrating multiple AI tools and models, supporting unified management through a gateway.
data directory structure is complete:
data/ ├── openclaw/ ├── .qwen/ ├── .gemini/ └── workspace/
bashdocker compose up -d
Proxy Server Configuration
Proxy server configured in docker-compose.yml:
yamlenvironment: - HTTP_PROXY=http://proxy-server:port - HTTPS_PROXY=http://proxy-server:port - http_proxy=http://proxy-server:port - https_proxy=http://proxy-server:port
Complete docker-compose.yml example:
yamlservices: agent: build: context: . dockerfile: Dockerfile args: - HTTP_PROXY=http://proxy-server:port - HTTPS_PROXY=http://proxy-server:port - http_proxy=http://proxy-server:port - https_proxy=http://proxy-server:port container_name: agent ports: - "18789:18789" volumes: - ./data/openclaw:/home/agent/.openclaw - ./data/.qwen:/home/agent/.qwen - ./data/.gemini:/home/agent/.gemini - ./data/workspace:/home/agent/workspace environment: - NODE_ENV=production - PYTHONPATH=/home/agent - TZ=Asia/Shanghai - HTTP_PROXY=http://proxy-server:port - HTTPS_PROXY=http://proxy-server:port - http_proxy=http://proxy-server:port - https_proxy=http://proxy-server:port - OPENCLAW_GATEWAY_TOKEN=your_gateway_token_here command: ["openclaw","gateway","run", "--verbose"] networks: - ai-agent-network restart: unless-stopped healthcheck: test: ["CMD", "curl", "-f", "http://localhost:18789/"] interval: 30s timeout: 10s retries: 3 start_period: 40s volumes: agent-data: driver: local networks: ai-agent-network: driver: bridge
Gateway Authentication Configuration
Set the same gateway token in the following two configuration files:
data/openclaw/config.yamldata/openclaw/openclaw.jsonIt is critical that the tokens in both files match exactly. If the tokens are inconsistent, the OpenClaw gateway will fail to start properly and you will encounter "gateway token mismatch" errors, preventing proper communication between gateway components. This mismatch will cause the service to be unavailable.
NODE_ENV: Runtime environment (production)PYTHONPATH: Python module search pathTZ: Timezone setting (Asia/Shanghai)OPENCLAW_GATEWAY_TOKEN: Gateway authentication token - This is critical for securing your OpenClaw gateway. Without this token, unauthorized clients could connect to your gateway. If not set correctly, you may encounter "gateway token mismatch" errors, preventing proper communication between gateway components.Enter the container to check service status:
bashdocker compose exec agent openclaw status
View service logs:
bashdocker compose logs -f
Gateway Token Mismatch Error
gateway.auth.token and gateway.remote.token in both config.yaml and openclaw.json are set to the same valueProxy Connection Issues
Permission Issues
/home/agent/.openclaw directorychmod 700 /home/agent/.openclawbashdocker compose down && docker compose up -d
Regularly check and update OpenClaw version:
bashopenclaw update
Regularly backup the data directory to preserve configurations and data.
The service includes integrated support for *** bot communication. To configure *** integration:
data/openclaw/openclaw.json file with your bot token:
json{ "channels": { "telegram": { "enabled": true, "dmPolicy": "pairing", "botToken": "YOUR_BOT_TOKEN_HERE", "groupPolicy": "allowlist", "streamMode": "partial", "proxy": "http://proxy-server:port" } } }
bashopenclaw config set channels.telegram.botToken YOUR_BOT_TOKEN_HERE
Note: The bot token in the default configuration is a placeholder. Replace it with your actual bot token for *** functionality to work properly.
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