目录

配置docker

拉取docker镜像:docker pull ubuntu
创建docker容器并进入:docker run -it --name openclaw ubuntu:latest /bin/bash
更改下载源,地址:
cd etc/apt/sources.list
cat > /etc/apt/sources.list << EOF
deb http://mirrors.aliyun.com/ubuntu/ $(lsb_release -cs) main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ $(lsb_release -cs) main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu/ $(lsb_release -cs)-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ $(lsb_release -cs)-updates main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu/ $(lsb_release -cs)-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ $(lsb_release -cs)-backports main restricted universe multiverse

deb http://mirrors.aliyun.com/ubuntu/ $(lsb_release -cs)-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ $(lsb_release -cs)-security main restricted universe multiverse
EOF

安装curl:apt install curl

也可用如下dockerfile创建容器:

# 基础镜像（建议指定 ubuntu:20.04 匹配 focal 源，避免版本不一致）
FROM ubuntu:20.04

# 避免交互模式下的时区等问题（可选但推荐）
ENV DEBIAN_FRONTEND=noninteractive

# 更换为指定的阿里云 focal 源
RUN cp /etc/apt/sources.list /etc/apt/sources.list.bak && \
    # 清空原有内容并写入新源
    cat > /etc/apt/sources.list << EOF
deb http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse
EOF && \
    # 更新源（添加 -y 避免交互提示）
    apt update -y && \
    # 安装常用工具
    apt install -y vim wget curl && \
    # 清理缓存（减小镜像体积）
    apt clean && \
    rm -rf /var/lib/apt/lists/*

# 恢复交互模式（可选）
ENV DEBIAN_FRONTEND=dialog

# 容器启动时进入bash
CMD ["/bin/bash"]

更换下载源:

deb http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse

用如下dockerfile:

FROM ubuntu:24.04  # 匹配 24.04 版本
ENV DEBIAN_FRONTEND=noninteractive

# 更换为 24.04(noble) 阿里云源
RUN cp /etc/apt/sources.list /etc/apt/sources.list.bak && \
    cat > /etc/apt/sources.list << EOF
deb http://mirrors.aliyun.com/ubuntu/ noble main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ noble-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ noble-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ noble-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ noble-backports main restricted universe multiverse
EOF && \
    apt update -y && \
    apt install -y vim wget curl && \
    apt clean && \
    rm -rf /var/lib/apt/lists/*

ENV DEBIAN_FRONTEND=dialog
CMD ["/bin/bash"]

一键安装openclaw

curl -fsSL https://openclaw.ai/install.sh | bash1

选项选择

【OpenClaw保姆级教程】最新版小龙虾OpenClaw完整安装教学，一个视频搞懂OpenClaw本地部署/接入微信/飞书/钉钉（附完整操作文档）

更改配置文件

root/.openclaw/openclaw.json
添加port，修改bind

  "gateway": {
    "port": 18789,
    "mode": "local",
    "bind": "lan",
    "controlUi": {
      "enabled": true,
      "allowInsecureAuth": true
    },    
    "auth": {
      "mode": "token",
      "token": "1876cbd181533358223674dab4841f60c252f62c206a53f9"
    },
    "tailscale": {
      "mode": "off",
      "resetOnExit": false
    }
  }

gateway设置:

  "gateway": {
    "port": 18789,
    "mode": "local",
    "bind": "lan",
     "controlUi": {
      "allowedOrigins": [
        "http://127.0.0.1:18789",
        "http://宿主机地址:18789"
      ]
    },
    "auth": {
      "mode": "token",
      "token": ""
    }
  }

docker操作

创建容器(一定要端口映射):docker run -d -p 18789:18789 --name openclaw openclaw_image:v1 tail -f /dev/null
进入容器:docker exec -it openclaw bash
容器备份docker commit openclaw openclaw_image:v1
挂载启动openclaw gateway:openclaw gateway start或者openclaw gateway intall

报错解决

pairing required

控制 UI 令牌 + 配对（Docker）
如果你看到”unauthorized”或”disconnected (1008): pairing required”，获取新的仪表板链接并批准浏览器设备：
docker compose run --rm openclaw-cli dashboard --no-open
docker compose run --rm openclaw-cli devices list
docker compose run --rm openclaw-cli devices approve < requestId >

# 1. 先切换到项目根目录（替换为你实际的项目路径，比如 /root/openclaw，得用linux命令找一下）
cd /你的/openclaw/项目根目录

# 2. 执行设备列表命令（已替换你的 Token）
node /usr/lib/node_modules/openclaw/dist/index.js devices list --token 个人token --url ws://127.0.0.1:18789

# 3. 执行设备授权命令
node /usr/lib/node_modules/openclaw/dist/index.js devices approve 327dc0b1-c82d-4ebf-9448-9a0a2b9a31ef --token 个人token --url ws://127.0.0.1:18789

其他

查看日志:openclaw logs --follow
设备配对: openclaw pairing approve devices_code

模型配置

千问

config选模型，复制连接注册，跟阿里文档走就行

{
  "models": {
    "mode": "merge",
    "providers": {
      "bailian": {
        "baseUrl": "https://coding.dashscope.aliyuncs.com/v1",
        "apiKey": "YOUR_API_KEY",
        "api": "openai-completions",
        "models": [
          {
            "id": "qwen3.5-plus",
            "name": "qwen3.5-plus",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 1000000,
            "maxTokens": 65536,
            "compat": {
              "thinkingFormat": "qwen"
            }
          },
          {
            "id": "qwen3-max-2026-01-23",
            "name": "qwen3-max-2026-01-23",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 262144,
            "maxTokens": 65536,
            "compat": {
              "thinkingFormat": "qwen"
            }
          },
          {
            "id": "qwen3-coder-next",
            "name": "qwen3-coder-next",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 262144,
            "maxTokens": 65536
          },
          {
            "id": "qwen3-coder-plus",
            "name": "qwen3-coder-plus",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 1000000,
            "maxTokens": 65536
          },
          {
            "id": "MiniMax-M2.5",
            "name": "MiniMax-M2.5",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 196608,
            "maxTokens": 32768
          },
          {
            "id": "glm-5",
            "name": "glm-5",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 202752,
            "maxTokens": 16384,
            "compat": {
              "thinkingFormat": "qwen"
            }
          },
          {
            "id": "glm-4.7",
            "name": "glm-4.7",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 202752,
            "maxTokens": 16384,
            "compat": {
              "thinkingFormat": "qwen"
            }
          },
          {
            "id": "kimi-k2.5",
            "name": "kimi-k2.5",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 262144,
            "maxTokens": 32768,
            "compat": {
              "thinkingFormat": "qwen"
            }
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "bailian/qwen3.5-plus"
      },
      "models": {
        "bailian/qwen3.5-plus": {},
        "bailian/qwen3-max-2026-01-23": {},
        "bailian/qwen3-coder-next": {},
        "bailian/qwen3-coder-plus": {},
        "bailian/MiniMax-M2.5": {},
        "bailian/glm-5": {},
        "bailian/glm-4.7": {},
        "bailian/kimi-k2.5": {}
      }
    }
  },
  "gateway": {
    "mode": "local"
  }
}

千问

deepseek

{
  "meta": {
    "lastTouchedVersion": "2026.3.13",
    "lastTouchedAt": "2026-03-17T17:28:54.070Z"
  },
  "models": {
    "mode": "merge",
    "providers": {
      "deepseek": {
        "baseUrl": "https://api.deepseek.com/v1",
        "apiKey": "个人秘钥",
        "api": "openai-completions",
       "models": [
    {
      "id": "deepseek-chat",
      "name": "DeepSeek Chat (V3)"
    },
    {
      "id": "deepseek-reasoner",
      "name": "DeepSeek Reasoner (R1)"
    }
  ]
      }
    }
  },
  "commands": {
    "native": "auto",
    "nativeSkills": "auto",
    "restart": true,
    "ownerDisplay": "raw"
  },
  "gateway": {
    "port": 18789,
    "mode": "local",
    "bind": "lan",
    "controlUi": {
      "allowedOrigins": [
        "http://127.0.0.1:18789",
        "http://宿主机ip:18789"
      ]
    },
    "auth": {
      "mode": "token",
      "token": "系统token"
    }
  }
}

飞书配置

OpenClaw: access not configured. Your Feishu user id: ou_6fec4ca0cdfecb5baaff4a6a78aa7ac0 Pairing code: XZLfgB9 Ask the bot owner to approve with: openclaw pairing approve feishu XXZLfgB9 OpenClaw: access not configured. Your Feishu user id: ou_6fec4ca0cdfecb5baaff4a6a78aa7ac0 Pairing code: XZLfgB9 Ask the bot owner to approve with: openclaw pairing approve feishu XZLfgB9

openclaw pairing approve feishu 身份码
openclaw pairing list

看到你的 Feishu 用户变成 approved,然后你再在飞书里发消息，就能正常用了。

飞书配置

Reference

OpenClaw 完整安装教程（2026最新版，全平台通用）
OpenClaw保姆级教程】最新版小龙虾OpenClaw完整安装教学，一个视频搞懂OpenClaw本地部署/接入微信/飞书/钉钉（附完整操作文档）
用Docker部署OpenClaw，一分钟搞定
openclaw官方docker配置文档

  1. OpenClaw 完整安装教程（2026最新版，全平台通用） ↩︎

# docker # 容器
Logo
龙虾开发者社区

小龙虾开发者社区是 CSDN 旗下专注 OpenClaw 生态的官方阵地，聚焦技能开发、插件实践与部署教程，为开发者提供可直接落地的方案、工具与交流平台，助力高效构建与落地 AI 应用

更多推荐

cover

QClaw体验：微信里的本地AI助手，让智能触手可及

avatar 龙虾开发者社区
cover

WorkBuddy使用心得：腾讯版“免部署小龙虾“的办公新体验

avatar 龙虾开发者社区

VibeVoice Pro流式TTS效果展示：300ms低延迟真实音频生成作品集

本文介绍了如何在星图GPU平台自动化部署VibeVoice Pro：零延迟流式音频引擎镜像，实现300ms低延迟的实时语音生成。该技术特别适用于智能助手对话场景，能够提供自然流畅的语音交互体验，显著提升用户满意度。

avatar 龙虾开发者社区