AI prompts
base on 基于大模型的智能对话客服工具,支持微信、拼多多、千牛、哔哩哔哩、抖音企业号、抖音、抖店、微博聊天、小红书专业号运营、小红书、知乎等平台接入,可选择 GPT3.5/GPT4.0/ 懒人百宝箱 (后续会支持更多平台),能处理文本、语音和图片,通过插件访问操作系统和互联网等外部资源,支持基于自有知识库定制企业 AI 应用。 <div align="center">
<a href="https://doc.lazaytools.top/"><img src="./docs/logo.png" width="180" height="180" alt="lazaytools logo"></a>
## 懒人客服
<p align="center">
<a href="./README_EN.md">English</a> |
<a href="./README.md">简体中文</a>
</p>
懒人客服是一个基于 LLM 大语言模型的知识库的集成客服系统,提供开箱即用的智能客服解决方案,支持微信、千牛、哔哩哔哩、抖音企业号、抖音、抖店、拼多多、微博聊天、小红书专业号运营、小红书、知乎等平台接入,支持文本、语音和图片,通过插件访问操作系统和互联网等外部资源,支持基于自有知识库定制企业 AI 应用.
</div>
<p align="center">
<a href="https://github.com/cs-lazy-tools/ChatGPT-On-CS/releases">
<img height="21" src="./docs/立即下载-d4eaf7.svg" alt="cloud">
</a>
<a href="https://doc.lazaytools.top/">
<img height="21" src="./docs/相关文档-7d09f1.svg" alt="document">
</a>
<a href="https://github.com/cs-lazy-tools/ChatGPT-On-CS/blob/main/BUILD.md">
<img height="21" src="./docs/本地开发-d4eaf7.svg" alt="development">
</a>
<a href="https://github.com/cs-lazy-tools/ChatGPT-On-CS/blob/main/LICENSE">
<img height="21" src="./docs/license_AGPL_3.0.svg" alt="license">
</a>
</p>
本项目可选择 GPT3.5/GPT4.0/懒人百宝箱/FastGPT/DifyAI/通义千问/文心一言 等平台大模型,能处理文本、语音和图片,通过插件访问操作系统和互联网等外部资源,支持基于自有知识库定制企业 AI 应用。
* [GitHub] https://github.com/cs-lazy-tools/ChatGPT-On-CS
* [Gitee] https://gitee.com/alsritter/ChatGPT-On-CS · (国内用户推荐)
## 主要功能
<div align="center">
<a href="https://doc.lazaytools.top/"><img src="./docs/intro1.png" width="380" alt="lazaytools logo"></a>
</div>
- [x] 多平台支持:当前支持微信、千牛、哔哩哔哩、抖音企业号、抖音、抖店、微博聊天、小红书专业号运营、小红书、小红书千帆客户端、知乎等平台,未来将不断扩展支持更多社交媒体平台.
- [x] 预设回复内容:允许用户设置自定义回复,以应对常见问题,提高回复效率.
- [x] 接入ChatGPT接口,根据客户的咨询内容智能生成回复,适用于处理复杂或者个性化的客户咨询.
- [x] 发送图片和二进制文件:支持发送图片等二进制文件,满足多样化的客户服务需求.
- [x] 知识库: 通过上传知识库文件自定义专属机器人,可作为数字分身、智能客服、私域助手使用.
- [x] 各个平台独立的插件系统,支持插件访问操作系统和互联网等外部资源,支持基于自有知识库定制企业 AI 应用.
## 演示视频
[观看视频](https://www.bilibili.com/video/BV1qz421Q73S)
## 功能展示截图
| ![Demo](./docs/intro1.png) | ![alt text](./docs/intro2.png) |
| -------------------------- | ------------------------------ |
| ![Demo](./docs/intro3.png) | ![Demo](./docs/intro4.png) |
| ![Demo](./docs/intro5.png) | ![alt text](./docs/intro6.png) |
## 联系我们
如果有问题需要反馈,或者对项目有什么特性希望支持的,可以添加小助手微信:
![微信扫码添加客服进群](https://image.siweigpt.com/docimage/202412031818028.png)
## 使用说明
可以参考 [使用说明](https://doc.lazaytools.top/) 文档
## 项目计划 RoadMap
- [x] 支持微信平台的基础聊天功能
- [x] 支持千牛平台的基础聊天功能
- [x] 支持京麦平台的基础聊天功能
- [x] 添加关闭自动回复,只使用关键词回复的功能
- [x] 添加延时随机时间
- [x] 优化各个平台的独立配置功能
- [x] 支持 Excel 导入回复内容
- [x] 支持导出回复内容到 Excel
- [x] 优化千牛的对接模式
- [x] 优化微信平台的回复速度
- [x] 添加中文路径的支持
- [x] 支持自动检测人类操作后自动暂停项目
- [x] 新增 wx 群聊需要使用 @ 机器人才能回复的功能
- [x] 支持浏览器多开功能
- [x] 支持导出聊天记录到 Excel
- [ ] 支持关键词匹配测试功能
- [x] 实现小红书回复后,自动私聊的功能
- [ ] 支持抖音直播平台自动回复功能
- [x] 支持拼多多
- [ ] 支持多平台文章自动发送功能
- [ ] 支持本地聊天模型的加载
## 🤝 参与贡献
我们热烈欢迎各种形式的贡献。假如你对编写代码有兴趣,不妨浏览我们的 GitHub Issues,选择一个你感兴趣的问题,尽情发挥你的创造力和技术才能,向我们展示你独特的解决方案。此外,我们也鼓励大家提出新想法、改进建议,或参与讨论,共同推动项目的发展。
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<img alt="Active Contributors of cs-lazy-tools/ChatGPT-On-CS - Last 28 days" src="https://next.ossinsight.io/widgets/official/compose-recent-active-contributors/thumbnail.png?repo_id=768534013&limit=30&image_size=auto&color_scheme=light" width="655" height="auto">
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## 🌟 Star History
<a href="https://star-history.com/#cs-lazy-tools/ChatGPT-On-CS&Date">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=cs-lazy-tools/ChatGPT-On-CS&type=Date&theme=dark" />
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=cs-lazy-tools/ChatGPT-On-CS&type=Date" />
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=cs-lazy-tools/ChatGPT-On-CS&type=Date" />
</picture>
</a>
<a href="#readme">
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
</a>
## 使用协议
本仓库遵循 [AGPL-3.0 开源协议](./LICENSE)。
1. 允许个人使用,如果需要商业使用,请联系作者。
2. 除非获得商业授权,否则无论以何种方式修改或者使用代码,都需要开源,并保留相关版权信息。
3. 详细内容请参见 [AGPL-3.0 开源协议](./LICENSE)。
4. 联系请加上面的小助手,或者在 GitHub 上提 issue。
", Assign "at most 3 tags" to the expected json: {"id":"9681","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"