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Unverified
Commit
55ad9085
authored
Jul 23, 2025
by
dreamer6680
Committed by
GitHub
Jul 23, 2025
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feat:add 4111.mdx and remove unuse doc (#5303)
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document/content/docs/introduction/development/upgrading/4111.mdx
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document/content/docs/introduction/development/upgrading/meta.json
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document/content/docs/use-cases/external-integration/iframe_integration.mdx
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document/content/docs/use-cases/external-integration/onwechat.mdx
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document/content/docs/use-cases/external-integration/wechat.mdx
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document/content/docs/introduction/development/upgrading/4111.mdx
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---
title: 'V4.11.1(进行中)'
description: 'FastGPT V4.11.1 更新说明'
---
## 🚀 新增内容
1. 账号注销
## ⚙️ 优化
1. 兑换码功能支持指定对公支付模式。
2. 优化支付套餐模式。
## 🐛 修复
## 🔨 工具更新
\ No newline at end of file
document/content/docs/introduction/development/upgrading/meta.json
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{
"title"
:
"版本更新/升级操作"
,
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:
"FastGPT 版本更新介绍及升级操作"
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document/content/docs/use-cases/external-integration/iframe_integration.mdx
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---
title: iframe 接入
description: 通过 iframe 嵌入 FastGPT 内容到其他网页或应用
---
document/content/docs/use-cases/external-integration/onwechat.mdx
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---
title: 对接 chatgpt-on-wechat
description: FastGPT 对接 chatgpt-on-wechat
---
import { Alert } from '@/components/docs/Alert';
# 1 分钟对接 chatgpt-on-wechat
[chatgpt-on-wechat GitHub 地址](https://github.com/zhayujie/chatgpt-on-wechat)
由于 FastGPT 的 API 接口和 OpenAI 的规范一致,可以无需变更原来的应用即可使用 FastGPT 上编排好的应用。API 使用可参考 [这篇文章](/docs/use-cases/external-integration/openapi/)。编排示例,可参考 [高级编排介绍](/docs/workflow/intro)
## 1. 获取 OpenAPI 密钥
依次选择应用 -> 「API访问」,然后点击「API 密钥」来创建密钥。
<Alert context="warning">
密钥需要自己保管好,一旦关闭就无法再复制密钥,只能创建新密钥再复制。
</Alert>

## 3. 创建 docker-compose.yml 文件
只需要修改 `OPEN_AI_API_KEY` 和 `OPEN_AI_API_BASE` 两个环境变量即可。其中 `OPEN_AI_API_KEY` 为第一步获取的密钥,`OPEN_AI_API_BASE` 为 FastGPT 的 OpenAPI 地址,例如:`https://api.fastgpt.in/api/v1`。
随便找一个目录,创建一个 docker-compose.yml 文件,将下面的代码复制进去。
```yml
version: '2.0'
services:
chatgpt-on-wechat:
image: zhayujie/chatgpt-on-wechat
container_name: chatgpt-on-wechat
security_opt:
- seccomp:unconfined
environment:
OPEN_AI_API_KEY: 'fastgpt-z51pkjqm9nrk03a1rx2funoy'
OPEN_AI_API_BASE: 'https://api.fastgpt.in/api/v1'
MODEL: 'gpt-3.5-turbo'
CHANNEL_TYPE: 'wx'
PROXY: ''
HOT_RELOAD: 'False'
SINGLE_CHAT_PREFIX: '["bot", "@bot"]'
SINGLE_CHAT_REPLY_PREFIX: '"[bot] "'
GROUP_CHAT_PREFIX: '["@bot"]'
GROUP_NAME_WHITE_LIST: '["ChatGPT测试群", "ChatGPT测试群2"]'
IMAGE_CREATE_PREFIX: '["画", "看", "找"]'
CONVERSATION_MAX_TOKENS: 1000
SPEECH_RECOGNITION: 'False'
CHARACTER_DESC: '你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。'
SUBSCRIBE_MSG: '感谢您的关注!\n这里是ChatGPT,可以自由对话。\n支持语音对话。\n支持图片输入。\n支持图片输出,画字开头的消息将按要求创作图片。\n支持tool、角色扮演和文字冒险等丰富的插件。\n输入{trigger_prefix}#help 查看详细指令。'
EXPIRES_IN_SECONDS: 3600
USE_GLOBAL_PLUGIN_CONFIG: 'True'
USE_LINKAI: 'False'
LINKAI_API_KEY: ''
LINKAI_APP_CODE: ''
```
## 4. 运行 chatgpt-on-wechat
```bash
docker-compose pull
docker-compose up -d
```
* 运行成功后会提示扫码登录
* 随便找个账号,私信发送: bot问题 会将 问题 传到 FastGPT 进行回答。
document/content/docs/use-cases/external-integration/wechat.mdx
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---
title: '接入微信和企业微信 '
description: 'FastGPT 接入微信和企业微信 '
---
# FastGPT 三分钟接入微信/企业微信
私人微信和企业微信接入的方式基本一样,不同的地方会刻意指出。
[查看视频教程](https://www.bilibili.com/video/BV1rJ4m1w7xk/)
## 创建APIKey
首先找到我们需要接入的应用,然后点击「外部使用」->「API访问」创建一个APIKey并保存。

## 配置微秘书
打开[微秘书](https://wechat.aibotk.com?r=zWLnZK) 注册登录后找到菜单栏「基础配置」->「智能配置」,按照下图配置。

继续往下看到 `apikey` 和`服务器根地址`,这里`apikey`填写我们在 FastGPT 应用外部访问中创建的 APIkey,服务器根地址填写官方地址或者私有化部署的地址,这里用官方地址示例,注意要添加`/v1`后缀,填写完毕后保存。

## sealos部署服务
[访问sealos](https://hzh.sealos.run?uid=fnWRt09fZP) 登录进来之后打开「应用管理」-> 「新建应用」。
- 应用名:称随便填写
- 镜像名:私人微信填写 aibotk/wechat-assistant 企业微信填写 aibotk/worker-assistant
- cpu和内存建议 1c1g

往下翻页找到「高级配置」-> 「编辑环境变量」

这里需要填写三个环境变量:
```
AIBOTK_KEY=微秘书 APIKEY
AIBOTK_SECRET=微秘书 APISECRET
WORK_PRO_TOKEN=你申请的企微 token (企业微信需要填写,私人微信不需要)
```
这里最后的企业微信 Token 在微秘书的->会员开通栏目中自行购买。

这里环境变量我们介绍下如何填写:
`AIBOTK_KEY` 和 `AIBOTK_SECRET` 我们需要回到[微秘书](https://wechat.aibotk.com?r=zWLnZK)找到「个人中心」,这里的 APIKEY 对应 AIBOTK_KEY ,APISECRET 对应 `AIBOTK_SECRET`。

`WORK_PRO_TOKEN` 微秘书的会员中心中自行购买即可。
填写完毕后点右上角「部署」,等待应用状态变为运行中。

返回[微秘书](https://wechat.aibotk.com?r=zWLnZK) 找到「首页」,扫码登录需要接入的微信号。

## 测试
只需要发送信息,或者拉入群聊@登录的微信就会回复信息啦。

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