OpenClaw
MacOS/ Linux
1. 安装 OpenClaw
1.执行 openclaw 安装脚本
bash
1curl -fsSL https://openclaw.ai/install.sh | bash
2.执行 openclaw 初始化命令
bash
1openclaw onboard --install-daemon
3.选择快速安装模式
4.配置大模型，先选择跳过
5.选择模型；如按提供商筛选模型，选择Google随便选一个模型，后面会重新配的
6.配置对话机器人，先跳过，后面再进行配置
7.配置自带的skills包，选择yes
8.按空格选择，选完之后，按回车确认
9.skills安装方式，选择pnpm
10.选择自己所需要的skills然后回车
11.配置skills所需的大模型apikey，这里全部选择No
12.重启网关
2. 安装 OpenClaw在配置文件 openclaw.json 中加入AICodeWithAPI
1.打开终端执行命令，创建配置文件
bash
1mkdir -p ~/.openclaw && cat << 'EOF' > ~/.openclaw/openclaw.json
2{
3 "models": {
4 "mode": "merge",
5 "providers": {
6 "aicodewith-claude": {
7 "baseUrl": "https://api.aicodewith.com",
8 "apiKey": "这里填写你的密钥",
9 "api": "anthropic-messages",
10 "models": [
11 {
12 "id": "claude-opus-4-8",
13 "name": "Opus 4.8",
14 "reasoning": true,
15 "input": ["text", "image"],
16 "contextWindow": 200000,
17 "maxTokens": 128000
18 },
19 {
20 "id": "claude-opus-4-8[1m]",
21 "name": "Opus 4.8 (1M)",
22 "reasoning": true,
23 "input": ["text", "image"],
24 "contextWindow": 1000000,
25 "maxTokens": 128000
26 },
27 {
28 "id": "claude-opus-4-7",
29 "name": "Opus 4.7",
30 "reasoning": true,
31 "input": ["text", "image"],
32 "contextWindow": 200000,
33 "maxTokens": 128000
34 },
35 {
36 "id": "claude-opus-4-7[1m]",
37 "name": "Opus 4.7 (1M)",
38 "reasoning": true,
39 "input": ["text", "image"],
40 "contextWindow": 1000000,
41 "maxTokens": 128000
42 },
43 {
44 "id": "claude-opus-4-6",
45 "name": "Opus 4.6",
46 "reasoning": true,
47 "input": ["text", "image"],
48 "contextWindow": 200000,
49 "maxTokens": 128000
50 },
51 {
52 "id": "claude-opus-4-6[1m]",
53 "name": "Opus 4.6 (1M)",
54 "reasoning": true,
55 "input": ["text", "image"],
56 "contextWindow": 1000000,
57 "maxTokens": 128000
58 },
59 {
60 "id": "claude-sonnet-4-6",
61 "name": "Sonnet 4.6",
62 "reasoning": true,
63 "input": ["text", "image"],
64 "contextWindow": 200000,
65 "maxTokens": 128000
66 },
67 {
68 "id": "claude-sonnet-4-6[1m]",
69 "name": "Sonnet 4.6 (1M)",
70 "reasoning": true,
71 "input": ["text", "image"],
72 "contextWindow": 1000000,
73 "maxTokens": 128000
74 },
75 {
76 "id": "claude-haiku-4-5-20251001",
77 "name": "Haiku 4.5",
78 "reasoning": false,
79 "input": ["text"],
80 "contextWindow": 200000,
81 "maxTokens": 8192
82 }
83 ]
84 },
85 "aicodewith-openai": {
86 "baseUrl": "https://api.aicodewith.com/v1",
87 "apiKey": "这里填写你的密钥",
88 "api": "openai-responses",
89 "models": [
90 {
91 "id": "gpt-5.4",
92 "name": "GPT-5.4",
93 "reasoning": true,
94 "input": ["text", "image"],
95 "contextWindow": 1000000,
96 "maxTokens": 128000
97 },
98 {
99 "id": "gpt-5.5",
100 "name": "GPT-5.5",
101 "reasoning": true,
102 "input": ["text", "image"],
103 "contextWindow": 400000,
104 "maxTokens": 128000
105 }
106 ]
107 },
108 "aicodewith-gemini": {
109 "baseUrl": "https://api.aicodewith.com/gemini_cli/v1beta",
110 "apiKey": "这里填写你的密钥",
111 "api": "google-generative-ai",
112 "models": [
113 {
114 "id": "gemini-3.1-pro-preview",
115 "name": "3.1 Pro Preview",
116 "reasoning": true,
117 "input": ["text", "image"],
118 "contextWindow": 1000000,
119 "maxTokens": 65536
120 },
121 {
122 "id": "gemini-3-pro-preview",
123 "name": "3 Pro Preview",
124 "reasoning": true,
125 "input": ["text", "image"],
126 "contextWindow": 1000000,
127 "maxTokens": 65536
128 },
129 {
130 "id": "gemini-2.5-pro",
131 "name": "2.5 Pro",
132 "reasoning": true,
133 "input": ["text", "image"],
134 "contextWindow": 1000000,
135 "maxTokens": 65536
136 },
137 {
138 "id": "gemini-3.5-flash",
139 "name": "Gemini 3 Flash Preview",
140 "reasoning": true,
141 "input": ["text", "image", "video"],
142 "contextWindow": 1000000,
143 "maxTokens": 65536
144 },
145 {
146 "id": "gemini-3-pro-image-preview",
147 "name": "gemini图片",
148 "reasoning": false,
149 "input": ["text", "image"],
150 "contextWindow": 200000,
151 "maxTokens": 65536
152 }
153 ]
154 },
155 "aicodewith-deepseek": {
156 "baseUrl": "https://api.aicodewith.com/v1",
157 "apiKey": "这里填写你的密钥",
158 "api": "openai-completions",
159 "models": [
160 {
161 "id": "deepseek-v4-pro",
162 "name": "DeepSeek V4 Pro",
163 "reasoning": false,
164 "input": ["text"],
165 "contextWindow": 200000,
166 "maxTokens": 32000
167 },
168 {
169 "id": "deepseek-v4-flash",
170 "name": "DeepSeek V4 Flash",
171 "reasoning": false,
172 "input": ["text"],
173 "contextWindow": 200000,
174 "maxTokens": 32000
175 },
176 {
177 "id": "deepseek-v3.2",
178 "name": "DeepSeek V3.2",
179 "reasoning": true,
180 "input": ["text"],
181 "contextWindow": 128000,
182 "maxTokens": 128000
183 },
184 {
185 "id": "deepseek-r1-0528",
186 "name": "DeepSeek R1 0528",
187 "reasoning": true,
188 "input": ["text"],
189 "contextWindow": 128000,
190 "maxTokens": 32000
191 }
192 ]
193 },
194 "aicodewith-qwen": {
195 "baseUrl": "https://api.aicodewith.com/v1",
196 "apiKey": "这里填写你的密钥",
197 "api": "openai-completions",
198 "models": [
199 {
200 "id": "qwen3.5-397b-a17b",
201 "name": "Qwen3.5 397B A17B",
202 "reasoning": true,
203 "input": ["text"],
204 "contextWindow": 262000,
205 "maxTokens": 128000
206 },
207 {
208 "id": "qwen3-coder-next",
209 "name": "Qwen3 Coder Next",
210 "reasoning": true,
211 "input": ["text"],
212 "contextWindow": 200000,
213 "maxTokens": 128000
214 },
215 {
216 "id": "qwen3-coder",
217 "name": "Qwen3 Coder",
218 "reasoning": false,
219 "input": ["text"],
220 "contextWindow": 256000,
221 "maxTokens": 64000
222 },
223 {
224 "id": "qwen3-next-80b-a3b-thinking",
225 "name": "Qwen3 Next 80B A3B Thinking",
226 "reasoning": true,
227 "input": ["text"],
228 "contextWindow": 256000,
229 "maxTokens": 256000
230 },
231 {
232 "id": "qwen3-next-80b-a3b-instruct",
233 "name": "Qwen3 Next 80B A3B Instruct",
234 "reasoning": false,
235 "input": ["text"],
236 "contextWindow": 256000,
237 "maxTokens": 256000
238 },
239 {
240 "id": "qwen3-30b-a3b-thinking-2507",
241 "name": "Qwen3 30B A3B Thinking 2507",
242 "reasoning": true,
243 "input": ["text"],
244 "contextWindow": 256000,
245 "maxTokens": 256000
246 },
247 {
248 "id": "qwen3-30b-a3b-instruct-2507",
249 "name": "Qwen3 30B A3B Instruct 2507",
250 "reasoning": false,
251 "input": ["text"],
252 "contextWindow": 256000,
253 "maxTokens": 256000
254 },
255 {
256 "id": "qwen3-235b-a22b-thinking-2507",
257 "name": "Qwen3 235B A22B Thinking 2507",
258 "reasoning": true,
259 "input": ["text"],
260 "contextWindow": 128000,
261 "maxTokens": 32000
262 },
263 {
264 "id": "qwen3-235b-a22b-instruct-2507",
265 "name": "Qwen3 235B A22B Instruct 2507",
266 "reasoning": false,
267 "input": ["text"],
268 "contextWindow": 128000,
269 "maxTokens": 128000
270 },
271 {
272 "id": "qwen3-235b-a22b",
273 "name": "Qwen3 235B A22B",
274 "reasoning": true,
275 "input": ["text"],
276 "contextWindow": 128000,
277 "maxTokens": 16000
278 },
279 {
280 "id": "qwen3-32b",
281 "name": "Qwen3 32B",
282 "reasoning": true,
283 "input": ["text"],
284 "contextWindow": 40000,
285 "maxTokens": 40000
286 },
287 {
288 "id": "qwen3-14b",
289 "name": "Qwen3 14B",
290 "reasoning": true,
291 "input": ["text"],
292 "contextWindow": 40000,
293 "maxTokens": 40000
294 },
295 {
296 "id": "qwq-32b",
297 "name": "QwQ 32B",
298 "reasoning": true,
299 "input": ["text"],
300 "contextWindow": 128000,
301 "maxTokens": 8000
302 },
303 {
304 "id": "qwen2.5-72b-instruct",
305 "name": "Qwen2.5 72B Instruct",
306 "reasoning": false,
307 "input": ["text"],
308 "contextWindow": 128000,
309 "maxTokens": 8000
310 },
311 {
312 "id": "qwen2.5-32b-instruct",
313 "name": "Qwen2.5 32B Instruct",
314 "reasoning": false,
315 "input": ["text"],
316 "contextWindow": 128000,
317 "maxTokens": 8000
318 },
319 {
320 "id": "qwen2.5-7b-instruct",
321 "name": "Qwen2.5 7B Instruct",
322 "reasoning": false,
323 "input": ["text"],
324 "contextWindow": 128000,
325 "maxTokens": 8000
326 }
327 ]
328 },
329 "aicodewith-kimi": {
330 "baseUrl": "https://api.aicodewith.com/v1",
331 "apiKey": "这里填写你的密钥",
332 "api": "openai-completions",
333 "models": [
334 {
335 "id": "kimi-k2.5",
336 "name": "Kimi K2.5",
337 "reasoning": false,
338 "input": ["text", "image"],
339 "contextWindow": 256000,
340 "maxTokens": 90000
341 },
342 {
343 "id": "kimi-k2",
344 "name": "Kimi K2",
345 "reasoning": false,
346 "input": ["text"],
347 "contextWindow": 128000,
348 "maxTokens": 80000
349 },
350 {
351 "id": "kimi-k2-thinking",
352 "name": "Kimi K2 Thinking",
353 "reasoning": false,
354 "input": ["text"],
355 "contextWindow": 256000,
356 "maxTokens": 32000
357 }
358 ]
359 },
360 "aicodewith-glm": {
361 "baseUrl": "https://api.aicodewith.com/v1",
362 "apiKey": "这里填写你的密钥",
363 "api": "openai-completions",
364 "models": [
365 {
366 "id": "glm-5.1",
367 "name": "GLM 5.1",
368 "reasoning": true,
369 "input": ["text"],
370 "contextWindow": 200000,
371 "maxTokens": 128000
372 },
373 {
374 "id": "glm-5",
375 "name": "GLM 5",
376 "reasoning": true,
377 "input": ["text"],
378 "contextWindow": 200000,
379 "maxTokens": 128000
380 },
381 {
382 "id": "glm-4.7",
383 "name": "GLM 4.7",
384 "reasoning": true,
385 "input": ["text"],
386 "contextWindow": 202000,
387 "maxTokens": 202000
388 },
389 {
390 "id": "glm-4.6",
391 "name": "GLM 4.6",
392 "reasoning": true,
393 "input": ["text"],
394 "contextWindow": 202000,
395 "maxTokens": 202000
396 }
397 ]
398 },
399 "aicodewith-minimax": {
400 "baseUrl": "https://api.aicodewith.com/v1",
401 "apiKey": "这里填写你的密钥",
402 "api": "openai-completions",
403 "models": [
404 {
405 "id": "minimax-m2.7",
406 "name": "MiniMax M2.7",
407 "reasoning": true,
408 "input": ["text"],
409 "contextWindow": 200000,
410 "maxTokens": 32000
411 },
412 {
413 "id": "minimax-m2.5",
414 "name": "MiniMax M2.5",
415 "reasoning": true,
416 "input": ["text"],
417 "contextWindow": 200000,
418 "maxTokens": 32000
419 },
420 {
421 "id": "minimax-m2.1",
422 "name": "MiniMax M2.1",
423 "reasoning": true,
424 "input": ["text"],
425 "contextWindow": 196000,
426 "maxTokens": 32000
427 },
428 {
429 "id": "mimo-v2-flash",
430 "name": "MiMo V2 Flash",
431 "reasoning": true,
432 "input": ["text"],
433 "contextWindow": 256000,
434 "maxTokens": 256000
435 }
436 ]
437 },
438 "aicodewith-step": {
439 "baseUrl": "https://api.aicodewith.com/v1",
440 "apiKey": "这里填写你的密钥",
441 "api": "openai-completions",
442 "models": [
443 {
444 "id": "longcat-flash-chat",
445 "name": "LongCat Flash Chat",
446 "reasoning": false,
447 "input": ["text"],
448 "contextWindow": 128000,
449 "maxTokens": 32000
450 }
451 ]
452 },
453 "aicodewith-bytedance": {
454 "baseUrl": "https://api.aicodewith.com/v1",
455 "apiKey": "这里填写你的密钥",
456 "api": "openai-completions",
457 "models": [
458 {
459 "id": "seed-oss-36b-instruct",
460 "name": "Seed OSS 36B Instruct",
461 "reasoning": false,
462 "input": ["text"],
463 "contextWindow": 512000,
464 "maxTokens": 512000
465 }
466 ]
467 }
468 }
469 },
470 "agents": {
471 "defaults": {
472 "workspace": "/Users/aicodewith/.openclaw/workspace",
473 "model": {
474 "primary": "aicodewith-claude/claude-opus-4-8",
475 "fallbacks": ["aicodewith-claude/claude-sonnet-4-6", "aicodewith-openai/gpt-5.5"]
476 },
477 "models": {
478 "aicodewith-claude/claude-opus-4-8": {},
479 "aicodewith-claude/claude-opus-4-8[1m]": {},
480 "aicodewith-claude/claude-opus-4-7": {},
481 "aicodewith-claude/claude-opus-4-7[1m]": {},
482 "aicodewith-claude/claude-opus-4-6": {},
483 "aicodewith-claude/claude-opus-4-6[1m]": {},
484 "aicodewith-claude/claude-sonnet-4-6": {},
485 "aicodewith-claude/claude-sonnet-4-6[1m]": {},
486 "aicodewith-claude/claude-haiku-4-5-20251001": {},
487 "aicodewith-openai/gpt-5.4": {},
488 "aicodewith-openai/gpt-5.5": {},
489 "aicodewith-gemini/gemini-3.1-pro-preview": {},
490 "aicodewith-gemini/gemini-3-pro-preview": {},
491 "aicodewith-gemini/gemini-2.5-pro": {},
492 "aicodewith-gemini/gemini-3.5-flash": {},
493 "aicodewith-gemini/gemini-3-pro-image-preview": {},
494 "aicodewith-deepseek/deepseek-v4-pro": {},
495 "aicodewith-deepseek/deepseek-v4-flash": {},
496 "aicodewith-deepseek/deepseek-v3.2": {},
497 "aicodewith-deepseek/deepseek-r1-0528": {},
498 "aicodewith-qwen/qwen3.5-397b-a17b": {},
499 "aicodewith-qwen/qwen3-coder-next": {},
500 "aicodewith-qwen/qwen3-coder": {},
501 "aicodewith-qwen/qwen3-next-80b-a3b-thinking": {},
502 "aicodewith-qwen/qwen3-next-80b-a3b-instruct": {},
503 "aicodewith-qwen/qwen3-30b-a3b-thinking-2507": {},
504 "aicodewith-qwen/qwen3-30b-a3b-instruct-2507": {},
505 "aicodewith-qwen/qwen3-235b-a22b-thinking-2507": {},
506 "aicodewith-qwen/qwen3-235b-a22b-instruct-2507": {},
507 "aicodewith-qwen/qwen3-235b-a22b": {},
508 "aicodewith-qwen/qwen3-32b": {},
509 "aicodewith-qwen/qwen3-14b": {},
510 "aicodewith-qwen/qwq-32b": {},
511 "aicodewith-qwen/qwen2.5-72b-instruct": {},
512 "aicodewith-qwen/qwen2.5-32b-instruct": {},
513 "aicodewith-qwen/qwen2.5-7b-instruct": {},
514 "aicodewith-kimi/kimi-k2.5": {},
515 "aicodewith-kimi/kimi-k2": {},
516 "aicodewith-kimi/kimi-k2-thinking": {},
517 "aicodewith-glm/glm-5.1": {},
518 "aicodewith-glm/glm-5": {},
519 "aicodewith-glm/glm-4.7": {},
520 "aicodewith-glm/glm-4.6": {},
521 "aicodewith-minimax/minimax-m2.7": {},
522 "aicodewith-minimax/minimax-m2.5": {},
523 "aicodewith-minimax/minimax-m2.1": {},
524 "aicodewith-minimax/mimo-v2-flash": {},
525 "aicodewith-step/longcat-flash-chat": {},
526 "aicodewith-bytedance/seed-oss-36b-instruct": {}
527 }
528 }
529 },
530 "gateway": {
531 "mode": "local",
532 "auth": {
533 "mode": "token",
534 "token": "aed3b7555d271db82fbdc541f88701e9e9d557f98e6da221"
535 },
536 "port": 18789,
537 "bind": "loopback",
538 "tailscale": {
539 "mode": "off",
540 "resetOnExit": false
541 },
542 "controlUi": {
543 "allowInsecureAuth": true
544 },
545 "nodes": {
546 "denyCommands": [
547 "camera.snap",
548 "camera.clip",
549 "screen.record",
550 "contacts.add",
551 "calendar.add",
552 "reminders.add",
553 "sms.send",
554 "sms.search"
555 ]
556 }
557 },
558 "session": {
559 "dmScope": "per-channel-peer"
560 },
561 "tools": {
562 "profile": "coding"
563 },
564 "meta": {
565 "lastTouchedVersion": "2026.6.1",
566 "lastTouchedAt": "2026-06-09T08:12:03.433Z"
567 }
568}
569EOF
2.打开终端执行命令，重启网关服务
bash
1openclaw gateway run
3.打开终端执行命令，测试模型回复
bash
1openclaw tui
配置Telegram
1. 获取 Telegram Bot Token
1. 在 Telegram 中搜索 @BotFather
2. 发送 /newbot
3. 按提示设置 bot 名称
4. 获得 Bot Token（格式：123456789:ABCdefGHIjklMNOpqrsTUVwxyz）
2. 启用 Telegram 插件
这个步骤需要在电脑的终端里面执行，这个插件默认是关闭的
bash
1openclaw plugins enable telegram
3. 配置 Bot Token
这里输入你第一步获取的那个 token
text
1openclaw config set channels.telegram.botToken "你的Bot_Token"
4. 启动 Gateway
bash
1openclaw gateway run
如果报错了，可以先尝试停止一下
bash
1openclaw gateway stop
5. 测试
在 Telegram 中找到你的 bot，发送任意消息，bot 会给你一个验证码
然后你需要在电脑上执行下面的命令：
bash
1openclaw pairing approve telegram 你的验证码
配置飞书
1.启用飞书官方插件
新版本 OpenClaw 已内置支持，我们可以使用以下命令来启用
bash
1# openclaw更新命令：npm版，pnpm版
2npm install -g openclaw@latest
3pnpm add -g openclaw@latest
4
5# 飞书插件启用命令
6openclaw plugins enable feishu
安装完成后，使用以下命令重启网关
bash
1openclaw gateway restart
2.在飞书开放平台创建应用和配置应用权限
1.打开飞书开放平台 https://open.feishu.cn/app
2.点击【创建企业自建应用】并填写应用名称、描述和图标
3.点击【凭证与基础信息】复制App ID和App Sercet用来配置OpenClaw中的飞书
4.点击【添加应用能力】，然后点击右侧机器人下面的【添加】即可
5.点击【权限管理】给应用配置权限，在开通权限下方的输入框输入【IM:】然后点击【权限名称】左侧的复选框全选所有即时通信相关的权限，最后点击【确认开通权限】就完成了应用权限的配置
6.点击【创建版本】跳转到版本详情页面，输入符合您规范的应用版本号和更新说明并保存
7.保存后确认发布申请即完成发布操作
8.在飞书开放平台配置事件订阅：点击【事件与回调】找到事件配置下方的订阅方式，单击图标后选择【使用 长连接 接收事件】，保存
9.单击添加事件按钮，在搜索框中输入【接收消息】选中复选框后点击确认添加
10.再次创建版本和发布应用，即完成
3.在OpenClaw中配置飞书
1.回到终端 输入以下命令配置 channel：
bash
1openclaw channels add
2.输入飞书的App ID，App Secrect
3.接受群组聊天，选择Open
4.选择Finished
5.选择Yes
6.选择Open
7.选择No
8.重启OpenClaw网关，标注已重启即成功
bash
1openclaw gateway restart
4.使用飞书创建群聊，测试OpenClaw的飞书频道是否能正常运行
1.必须使用飞书PC客户端或者手机App才能创建群聊。下载链接https://www.feishu.cn/download
2.在群聊页面的右上角的设置中添加机器人助手，聊天中@机器人输入【你好】测试能否正常回复
3.正常回复说明配置成功，用户可以按照自身需求自行配置不同的权限
OpenClaw 能拿来做什么
下面纯干货，看完肯定有收获