环境信息

• 系统：Ubuntu 22.04 LTS

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一、安装依赖

1. 更新系统包索引

sudo apt update

2. 安装 curl

sudo apt install -y curl

3. 安装 Node.js LTS 版本

通过 NodeSource 安装最新稳定 LTS 版本：

curl -fsSL https://deb.nodesource.com/setup_lts.x | sudo -E bash -
sudo apt-get install -y nodejs

安装完成后，验证版本：

node -v
npm -v

示例输出：

v24.14.0
11.9.0

4. 设置 npm 镜像（可选，推荐淘宝镜像）

npm config set registry https://registry.npmmirror.com
npm config get registry

输出示例：

https://registry.npmmirror.com

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二、安装 OpenClaw

执行官方安装脚本：

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

注意：安装过程中会有多个交互选项，需要按提示操作。

安装过程常用配置

配置项	选择建议
I understand this is powerful and inherently risky. Continue?	Yes
Onboarding mode	QuickStart
Model/auth provider	Skip for now
Filter models by provider	All providers
Default model	默认即可
Select channel (QuickStart)	Skip for now
Configure skills now? (recommended)	No
Enable hooks?	按空格选中 → Skip for now
How do you want to hatch your bot?	Hatch in TUI

三、在 OpenClaw 中配置 Coding Plan API Key

通过 Web UI 修改配置文件

    1.在终端启动 Web UI：

    openclaw dashboard

    2.打开 Web UI 后，左侧菜单栏选择：

配置 > All Settings > RAW

复制以下内容到Raw JSONS输入框，替换已有内容。

若需保留已有配置，请勿直接全量替换。

     3.将YOUR_API_KEY替换为Coding Plan 专属API Key。单击右上角 Save 保存，然后单击 Update使配置生效。

{
  "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
          },
          {
            "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
          },
          {
            "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": 204800,
            "maxTokens": 131072
          },
          {
            "id": "glm-5",
            "name": "glm-5",
            "reasoning": false,
            "input": ["text"],
            "cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 },
            "contextWindow": 202752,
            "maxTokens": 16384
          },
          {
            "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
          },
          {
            "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
          }
        ]
      }
    }
  },
  "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"
  }
}

    4.保存成功后，apiKey将显示为“__OPENCLAW_REDACTED__”。脱敏保护，仅用于前端界面隐藏，不影响实际调用。

使用 OpenClaw

支持通过 Web UI 和 TUI 的方式使用 OpenClaw。

1. 新开一个终端，运行以下命令。

   openclaw dashboard

2. 在Web UI中进行对话。