OpenClaw二次开发指南千问3.5-9B API扩展接口详解1. 为什么需要二次开发OpenClaw去年我在尝试用OpenClaw自动化处理团队日报时发现现有的技能市场没有完全匹配我们工作流的模块。要么功能过剩导致资源浪费要么缺少关键步骤需要手动补全。这让我意识到真正发挥OpenClaw威力的方式是掌握其扩展开发能力。通过对接千问3.5-9B这类大模型API我们可以让OpenClaw获得三个关键能力提升领域知识增强将垂直行业术语库注入模型上下文流程定制化根据企业特有审批链设计自动化步骤系统集成度与企业现有工具链实现深度打通2. 开发环境准备2.1 基础环境配置我的开发机是M1芯片的MacBook Pro实测以下组合最稳定node -v # v18.16.0 npm -v # 9.5.1 openclaw --version # 2.3.1建议在项目目录初始化开发环境mkdir openclaw-extensions cd openclaw-extensions npm init -y npm install openclaw/core --save2.2 调试模式启动修改~/.openclaw/openclaw.json开启开发者模式{ development: { debug: true, logLevel: verbose } }通过以下命令观察实时日志tail -f ~/.openclaw/logs/openclaw.log3. REST接口封装实战3.1 创建基础端点在项目目录新建src/api/weather.jsconst { Router } require(express); module.exports (context) { const router new Router(); // 天气查询接口 router.get(/current, async (req, res) { const location req.query.city || 北京; const data await context.models.qwen.generate( 请用JSON格式返回${location}当前天气情况包含temperature、condition、wind字段 ); res.json(JSON.parse(data)); }); return router; };3.2 注册API路由创建src/extension.js作为入口文件module.exports (app) { app.registerApiRouter(/weather, require(./api/weather)); console.log(天气插件加载完成); };4. Webhook事件处理机制4.1 配置事件监听在飞书机器人场景中我们需要处理消息事件// src/events/feishu.js module.exports (emitter) { emitter.on(feishu:message, (payload) { if (payload.mentions.includes(app.currentUserId)) { console.log(收到提及消息:, payload.text); // 触发后续处理流程 emitter.emit(trigger:task, { type: mentions, raw: payload }); } }); };4.2 事件与技能联动将天气查询能力与消息事件绑定// src/extension.js const feishuHandler require(./events/feishu); module.exports (app) { feishuHandler(app.eventEmitter); app.eventEmitter.on(trigger:task, async (task) { if (task.type mentions task.raw.text.includes(天气)) { const city task.raw.text.replace(/.*天气(.*)?/, $1).trim(); const weather await app.api.weather.current({ city }); app.channels.feishu.sendMessage( task.raw.chat_id, ${city}当前天气${weather.condition}温度${weather.temperature}℃ ); } }); };5. 自定义技能开发5.1 技能元数据定义创建skills/weather/package.json{ name: weather-skill, version: 0.1.0, main: dist/index.js, openclaw: { type: skill, hooks: { install: scripts/install.js, uninstall: scripts/uninstall.js } } }5.2 核心技能逻辑实现天气查询技能// skills/weather/src/index.js module.exports (context) ({ name: weather, description: 实时天气查询技能, parameters: { city: { type: string, required: true } }, execute: async ({ city }) { const response await fetch( http://localhost:18789/api/weather/current?city${encodeURIComponent(city)} ); return response.json(); } });6. 第三方服务对接6.1 OAuth2.0集成示例以企业微信审批流为例// src/lib/wecom.js class WeComAPI { constructor(corpId, secret) { this.tokenCache new Map(); } async _refreshToken() { const res await axios.get( https://qyapi.weixin.qq.com/cgi-bin/gettoken?corpid${this.corpId}corpsecret${this.secret} ); this.tokenCache.set(access_token, { value: res.data.access_token, expires: Date.now() res.data.expires_in * 1000 }); } async approve(instanceId) { if (!this.tokenCache.has(access_token) || this.tokenCache.get(access_token).expires Date.now()) { await this._refreshToken(); } return axios.post( https://qyapi.weixin.qq.com/cgi-bin/oa/approval/approve, { instance_id: instanceId }, { params: { access_token: this.tokenCache.get(access_token).value } } ); } }6.2 审批自动化技能将企业微信审批封装为可调用技能// skills/wecom-approval/src/index.js module.exports (context) { const wecom new WeComAPI( process.env.WECOM_CORP_ID, process.env.WECOM_SECRET ); return { name: wecom-approval, description: 企业微信审批自动化, parameters: { instanceId: { type: string, required: true } }, execute: async ({ instanceId }) { try { await wecom.approve(instanceId); return { status: success }; } catch (err) { context.logger.error(审批失败:, err); return { status: failed, reason: err.message }; } } }; };7. 调试与部署技巧7.1 单元测试方案建议使用Jest进行技能测试// __tests__/weather.skill.test.js const weatherSkill require(../../skills/weather/src/index); describe(天气技能, () { let skill; beforeAll(() { skill weatherSkill({ logger: console, config: {} }); }); it(应包含标准技能结构, () { expect(skill.name).toBeDefined(); expect(skill.execute).toBeInstanceOf(Function); }); it(应正确处理城市参数, async () { const mockFetch jest.fn() .mockResolvedValue({ json: () ({ temperature: 25℃ }) }); global.fetch mockFetch; await skill.execute({ city: 上海 }); expect(mockFetch).toHaveBeenCalledWith( expect.stringContaining(city上海) ); }); });7.2 生产环境部署推荐使用PM2管理进程pm2 start openclaw -- gateway --port 18789 --name openclaw-gateway pm2 save pm2 startup对于技能更新建议采用蓝绿部署策略# 旧版本目录 /opt/openclaw/skills/weather/v0.1.0 # 新版本目录 /opt/openclaw/skills/weather/v0.2.0 # 通过软链接切换 ln -sfn /opt/openclaw/skills/weather/v0.2.0 /opt/openclaw/skills/weather/current获取更多AI镜像想探索更多AI镜像和应用场景访问 CSDN星图镜像广场提供丰富的预置镜像覆盖大模型推理、图像生成、视频生成、模型微调等多个领域支持一键部署。