Merge pull request #2596 from 6vision/master

feat: support claude-4-opus and claude-4-sonnet models
docs: update readme.md
2026-06-02 09:48:22 +08:00 · 2025-05-23 17:19:05 +08:00 · 2025-05-23 17:12:58 +08:00 · 2025-05-23 17:08:23 +08:00 · 2025-05-23 17:07:46 +08:00 · 2025-05-23 16:54:58 +08:00
95 changed files with 6088 additions and 527 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -14,6 +14,9 @@ tmp
 plugins.json
 itchat.pkl
 *.log
+logs/
+workspace
+config.yaml
 user_datas.pkl
 chatgpt_tool_hub/
 plugins/**/
@@ -30,4 +33,5 @@ plugins/banwords/lib/__pycache__
 !plugins/role
 !plugins/keyword
 !plugins/linkai
+!plugins/agent
 client_config.json
--- a/README.md
+++ b/README.md
@@ -1,39 +1,78 @@
-# 简介
+<p align="center"><img src= "https://github.com/user-attachments/assets/31fb4eab-3be4-477d-aa76-82cf62bfd12c" alt="Chatgpt-on-Wechat" width="600" /></p>

-> 本项目是基于大模型的智能对话机器人，支持微信、企业微信、公众号、飞书、钉钉接入，可选择GPT3.5/GPT4.0/Claude/文心一言/讯飞星火/通义千问/Gemini/LinkAI/ZhipuAI，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。
+<p align="center">
+   <a href="https://github.com/zhayujie/chatgpt-on-wechat/releases/latest"><img src="https://img.shields.io/github/v/release/zhayujie/chatgpt-on-wechat" alt="Latest release"></a>
+  <a href="https://github.com/zhayujie/chatgpt-on-wechat/blob/master/LICENSE"><img src="https://img.shields.io/github/license/zhayujie/chatgpt-on-wechat" alt="License: MIT"></a>
+  <a href="https://github.com/zhayujie/chatgpt-on-wechat"><img src="https://img.shields.io/github/stars/zhayujie/chatgpt-on-wechat?style=flat-square" alt="Stars"></a> <br/>
+</p>
+
+chatgpt-on-wechat（简称CoW）项目是基于大模型的智能对话机器人，支持微信公众号、企业微信应用、飞书、钉钉接入，可选择GPT3.5/GPT4.0/Claude/Gemini/LinkAI/ChatGLM/KIMI/文心一言/讯飞星火/通义千问/LinkAI/ModelScope，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。
+
+# 简介

 最新版本支持的功能如下：

- [x] **多端部署：** 有多种部署方式可选择且功能完备，目前已支持个人微信、微信公众号和、企业微信、飞书、钉钉等部署方式
- [x] **基础对话：** 私聊及群聊的消息智能回复，支持多轮会话上下文记忆，支持 GPT-3.5, GPT-4, Claude-3, Gemini, 文心一言, 讯飞星火, 通义千问，ChatGLM-4
- [x] **语音能力：** 可识别语音消息，通过文字或语音回复，支持 azure, baidu, google, openai(whisper/tts) 等多种语音模型
- [x] **图像能力：** 支持图片生成、图片识别、图生图（如照片修复），可选择 Dall-E-3, stable diffusion, replicate, midjourney, CogView-3, vision模型
- [x] **丰富插件：** 支持个性化插件扩展，已实现多角色切换、文字冒险、敏感词过滤、聊天记录总结、文档总结和对话、联网搜索等插件
- [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，基于 [LinkAI](https://link-ai.tech) 实现
+-  ✅   **多端部署：** 有多种部署方式可选择且功能完备，目前已支持微信公众号、企业微信应用、飞书、钉钉等部署方式
+-  ✅   **基础对话：** 私聊及群聊的消息智能回复，支持多轮会话上下文记忆，支持 GPT-4o系列, GPT-4.1系列, Claude, Gemini, 文心一言, 讯飞星火, 通义千问，ChatGLM-4，Kimi, MiniMax, GiteeAI, ModelScope
+-  ✅   **语音能力：** 可识别语音消息，通过文字或语音回复，支持 azure, baidu, google, openai(whisper/tts) 等多种语音模型
+-  ✅   **图像能力：** 支持图片生成、图片识别、图生图（如照片修复），可选择 Dall-E-3, stable diffusion, replicate, midjourney, CogView-3, vision模型
+-  ✅   **丰富插件：** 支持个性化插件扩展，已实现多角色切换、文字冒险、敏感词过滤、聊天记录总结、文档总结和对话、联网搜索等插件
+-  ✅   **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，基于 [LinkAI](https://link-ai.tech) 实现

-# 演示
+## 声明

-https://github.com/zhayujie/chatgpt-on-wechat/assets/26161723/d5154020-36e3-41db-8706-40ce9f3f1b1e
+1. 本项目遵循 [MIT开源协议](/LICENSE)，仅用于技术研究和学习，使用本项目时需遵守所在地法律法规、相关政策以及企业章程，禁止用于任何违法或侵犯他人权益的行为
+2. 境内使用该项目时，请使用国内厂商的大模型服务，并进行必要的内容安全审核及过滤
+3. 本项目主要接入协同办公平台，推荐使用公众号、企微自建应用、钉钉、飞书等接入通道，其他通道为历史产物已不维护
+4. 任何个人、团队和企业，无论以何种方式使用该项目、对何对象提供服务，所产生的一切后果，本项目均不承担任何责任

-Demo made by [Visionn](https://www.wangpc.cc/)
+## 演示

-# 商业支持
+DEMO视频：https://cdn.link-ai.tech/doc/cow_demo.mp4

-> 我们还提供企业级的 **AI应用平台**，包含知识库、Agent插件、应用管理等能力，支持多平台聚合的应用接入、客户端管理、对话管理，以及提供
-SaaS服务、私有化部署、稳定托管接入 等多种模式。
->
-> 目前已在私域运营、智能客服、企业效率助手等场景积累了丰富的 AI 解决方案， 在电商、文教、健康、新消费等各行业沉淀了 AI 落地的最佳实践，致力于打造助力中小企业拥抱 AI 的一站式平台。
-企业服务和商用咨询可联系产品顾问：
-
-<img width="240" src="https://img-1317903499.cos.ap-guangzhou.myqcloud.com/docs/product-manager-qrcode.jpg">
-
-# 开源社区
+## 社区

 添加小助手微信加入开源项目交流群：

-<img width="240" src="./docs/images/contact.jpg">
+<img width="160" src="https://img-1317903499.cos.ap-guangzhou.myqcloud.com/docs/open-community.png">

-# 更新日志
+<br>
+
+# 企业服务
+
+<a href="https://link-ai.tech" target="_blank"><img width="800" src="https://cdn.link-ai.tech/image/link-ai-intro.jpg"></a>
+
+> [LinkAI](https://link-ai.tech/) 是面向企业和开发者的一站式AI应用平台，聚合多模态大模型、知识库、Agent 插件、工作流等能力，支持一键接入主流平台并进行管理，支持SaaS、私有化部署多种模式。
+>
+> LinkAI 目前 已在私域运营、智能客服、企业效率助手等场景积累了丰富的 AI 解决方案， 在电商、文教、健康、新消费、科技制造等各行业沉淀了大模型落地应用的最佳实践，致力于帮助更多企业和开发者拥抱 AI 生产力。
+
+**企业服务和产品咨询** 可联系产品顾问：
+
+<img width="160" src="https://cdn.link-ai.tech/consultant-s.jpg">
+
+<br>
+
+# 🏷 更新日志
+
+>**2025.05.23：** [1.7.6版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.6) 优化web网页channel、新增[AgentMesh多智能体插件](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/agent/README.md)、百度语音合成优化、企微应用`access_token`获取优化、支持`claude-4-sonnet`和`claude-4-opus`模型
+
+>**2025.04.11：** [1.7.5版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.5) 新增支持 [wechatferry](https://github.com/zhayujie/chatgpt-on-wechat/pull/2562) 协议、新增 deepseek 模型、新增支持腾讯云语音能力、新增支持 ModelScope 和 Gitee-AI API接口
+
+>**2024.12.13：** [1.7.4版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.4) 新增 Gemini 2.0 模型、新增web channel、解决内存泄漏问题、解决 `#reloadp` 命令重载不生效问题
+
+>**2024.10.31：** [1.7.3版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.3) 程序稳定性提升、数据库功能、Claude模型优化、linkai插件优化、离线通知
+
+>**2024.09.26：** [1.7.2版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.2)  和 [1.7.1版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.1) 文心，讯飞等模型优化、o1 模型、快速安装和管理脚本
+
+>**2024.08.02：** [1.7.0版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.7.0) 新增 讯飞4.0 模型、知识库引用来源展示、相关插件优化
+
+>**2024.07.19：** [1.6.9版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.9) 新增 gpt-4o-mini 模型、阿里语音识别、企微应用渠道路由优化
+
+>**2024.07.05：** [1.6.8版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.8) 和 [1.6.7版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.7)，Claude3.5, Gemini 1.5 Pro, MiniMax模型、工作流图片输入、模型列表完善
+
+>**2024.06.04：** [1.6.6版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.6) 和 [1.6.5版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.5)，gpt-4o模型、钉钉流式卡片、讯飞语音识别/合成
+
+>**2024.04.26：** [1.6.0版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.6.0)，新增 Kimi 接入、gpt-4-turbo版本升级、文件总结和语音识别问题修复

 >**2024.03.26：** [1.5.8版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.8) 和 [1.5.7版本](https://github.com/zhayujie/chatgpt-on-wechat/releases/tag/1.5.7)，新增 GLM-4、Claude-3 模型，edge-tts 语音支持

@@ -51,15 +90,22 @@ SaaS服务、私有化部署、稳定托管接入 等多种模式。

 >**2023.08.08：** 接入百度文心一言模型，通过 [插件](https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins/linkai) 支持 Midjourney 绘图

->**2023.06.12：** 接入 [LinkAI](https://link-ai.tech/console) 平台，可在线创建领域知识库，并接入微信、公众号及企业微信中，打造专属客服机器人。使用参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。
+>**2023.06.12：** 接入 [LinkAI](https://link-ai.tech/console) 平台，可在线创建领域知识库，打造专属客服机器人。使用参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。

 更早更新日志查看: [归档日志](/docs/version/old-version.md)

-# 快速开始
+<br>

-快速开始文档：[项目搭建文档](https://docs.link-ai.tech/cow/quick-start)
+# 🚀 快速开始

-## 准备
+- 快速开始详细文档：[项目搭建文档](https://docs.link-ai.tech/cow/quick-start)
+
+- 快速安装脚本，详细使用指导：[一键安装启动脚本](https://github.com/zhayujie/chatgpt-on-wechat/wiki/%E4%B8%80%E9%94%AE%E5%AE%89%E8%A3%85%E5%90%AF%E5%8A%A8%E8%84%9A%E6%9C%AC)
+```bash
+bash <(curl -sS https://cdn.link-ai.tech/code/cow/install.sh)
+```
+- 项目管理脚本，详细使用指导：[项目管理脚本](https://github.com/zhayujie/chatgpt-on-wechat/wiki/%E9%A1%B9%E7%9B%AE%E7%AE%A1%E7%90%86%E8%84%9A%E6%9C%AC)
+## 一、准备

 ### 1. 账号注册

@@ -67,7 +113,7 @@ SaaS服务、私有化部署、稳定托管接入 等多种模式。

 > 默认对话模型是 openai 的 gpt-3.5-turbo，计费方式是约每 1000tokens (约750个英文单词 或 500汉字，包含请求和回复) 消耗 $0.002，图片生成是Dell E模型，每张消耗 $0.016。

-项目同时也支持使用 LinkAI 接口，无需代理，可使用 文心、讯飞、GPT-3、GPT-4 等模型，支持 定制化知识库、联网搜索、MJ绘图、文档总结和对话等能力。修改配置即可一键切换，参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。
+项目同时也支持使用 LinkAI 接口，无需代理，可使用 Kimi、文心、讯飞、GPT-3.5、GPT-4o 等模型，支持 定制化知识库、联网搜索、MJ绘图、文档总结、工作流等能力。修改配置即可一键使用，参考 [接入文档](https://link-ai.tech/platform/link-app/wechat)。

 ### 2.运行环境

@@ -98,7 +144,7 @@ pip3 install -r requirements-optional.txt
 ```
 > 如果某项依赖安装失败可注释掉对应的行再继续

-## 配置
+## 二、配置

 配置文件的模板在根目录的`config-template.json`中，需复制该模板创建最终生效的 `config.json` 文件：

@@ -106,14 +152,14 @@ pip3 install -r requirements-optional.txt
  cp config-template.json config.json
 ```

-然后在`config.json`中填入配置，以下是对默认配置的说明，可根据需要进行自定义修改（请去掉注释）：
+然后在`config.json`中填入配置，以下是对默认配置的说明，可根据需要进行自定义修改（注意实际使用时请去掉注释，保证JSON格式的完整）：

 ```bash
 # config.json文件内容示例
 {
-  "open_ai_api_key": "YOUR API KEY",                          # 填入上面创建的 OpenAI API KEY
-  "model": "gpt-3.5-turbo",                                   # 模型名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei, claude-3-opus-20240229
-  "claude_api_key":"YOUR API KEY"                             # 如果选用claude3模型的话，配置这个key，同时如想使用生图，语音等功能，仍需配置open_ai_api_key
+  "model": "gpt-4o-mini",                                     # 模型名称, 支持 gpt-4o-mini, gpt-4.1, gpt-4o, wenxin, xunfei, glm-4, claude-3-7-sonnet-latest, moonshot等
+  "open_ai_api_key": "YOUR API KEY",                          # 如果使用openAI模型则填入上面创建的 OpenAI API KEY
+  "open_ai_api_base": "https://api.openai.com/v1",            # OpenAI接口代理地址
  "proxy": "",                                                # 代理客户端的ip和端口，国内环境开启代理的需要填写该项，如 "127.0.0.1:7890"
  "single_chat_prefix": ["bot", "@bot"],                      # 私聊时文本需要包含该前缀才能触发机器人回复
  "single_chat_reply_prefix": "[bot] ",                       # 私聊时自动回复的前缀，用于区分真人
@@ -124,15 +170,13 @@ pip3 install -r requirements-optional.txt
  "conversation_max_tokens": 1000,                            # 支持上下文记忆的最多字符数
  "speech_recognition": false,                                # 是否开启语音识别
  "group_speech_recognition": false,                          # 是否开启群组语音识别
-  "use_azure_chatgpt": false,                                 # 是否使用Azure ChatGPT service代替openai ChatGPT service. 当设置为true时需要设置 open_ai_api_base，如 https://xxx.openai.azure.com/
-  "azure_deployment_id": "",                                  # 采用Azure ChatGPT时，模型部署名称
-  "azure_api_version": "",                                    # 采用Azure ChatGPT时，API版本
-  "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。",  # 人格描述
+  "voice_reply_voice": false,                                 # 是否使用语音回复语音
+  "character_desc": "你是基于大语言模型的AI智能助手，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。",  # 人格描述
  # 订阅消息，公众号和企业微信channel中请填写，当被订阅时会自动回复，可使用特殊占位符。目前支持的占位符有{trigger_prefix}，在程序中它会自动替换成bot的触发词。
  "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支持图片输出，画字开头的消息将按要求创作图片。\n支持角色扮演和文字冒险等丰富插件。\n输入{trigger_prefix}#help 查看详细指令。",
  "use_linkai": false,                                        # 是否使用LinkAI接口，默认关闭，开启后可国内访问，使用知识库和MJ
  "linkai_api_key": "",                                       # LinkAI Api Key
-  "linkai_app_code": ""                                       # LinkAI 应用code
+  "linkai_app_code": ""                                       # LinkAI 应用或工作流code
 }
 ```
 **配置说明：**
@@ -153,11 +197,11 @@ pip3 install -r requirements-optional.txt

 + 添加 `"speech_recognition": true` 将开启语音识别，默认使用openai的whisper模型识别为文字，同时以文字回复，该参数仅支持私聊 (注意由于语音消息无法匹配前缀，一旦开启将对所有语音自动回复，支持语音触发画图)；
 + 添加 `"group_speech_recognition": true` 将开启群组语音识别，默认使用openai的whisper模型识别为文字，同时以文字回复，参数仅支持群聊 (会匹配group_chat_prefix和group_chat_keyword, 支持语音触发画图)；
-+ 添加 `"voice_reply_voice": true` 将开启语音回复语音（同时作用于私聊和群聊），但是需要配置对应语音合成平台的key，由于itchat协议的限制，只能发送语音mp3文件，若使用wechaty则回复的是微信语音。
+ 添加 `"voice_reply_voice": true` 将开启语音回复语音（同时作用于私聊和群聊）

 **4.其他配置**

-+ `model`: 模型名称，目前支持 `gpt-3.5-turbo`, `text-davinci-003`, `gpt-4`, `gpt-4-32k`, `wenxin` , `claude` ,  `xunfei`(其中gpt-4 api暂未完全开放，申请通过后可使用)
+ `model`: 模型名称，目前支持 `gpt-4o-mini`, `gpt-4.1`, `gpt-4o`, `gpt-3.5-turbo`, `wenxin` , `claude` , `gemini`, `glm-4`,  `xunfei`, `moonshot`等，全部模型名称参考[common/const.py](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/common/const.py)文件
 + `temperature`,`frequency_penalty`,`presence_penalty`: Chat API接口参数，详情参考[OpenAI官方文档。](https://platform.openai.com/docs/api-reference/chat)
 + `proxy`：由于目前 `openai` 接口国内无法访问，需配置代理客户端的地址，详情参考  [#351](https://github.com/zhayujie/chatgpt-on-wechat/issues/351)
 + 对于图像生成，在满足个人或群组触发条件外，还需要额外的关键词前缀来触发，对应配置 `image_create_prefix `
@@ -165,7 +209,7 @@ pip3 install -r requirements-optional.txt
 + `conversation_max_tokens`：表示能够记忆的上下文最大字数（一问一答为一组对话，如果累积的对话字数超出限制，就会优先移除最早的一组对话）
 + `rate_limit_chatgpt`，`rate_limit_dalle`：每分钟最高问答速率、画图速率，超速后排队按序处理。
 + `clear_memory_commands`: 对话内指令，主动清空前文记忆，字符串数组可自定义指令别名。
-+ `hot_reload`: 程序退出后，暂存微信扫码状态，默认关闭。
+ `hot_reload`: 程序退出后，暂存等于状态，默认关闭。
 + `character_desc` 配置中保存着你对机器人说的一段话，他会记住这段话并作为他的设定，你可以为他定制任何人格      (关于会话上下文的更多内容参考该 [issue](https://github.com/zhayujie/chatgpt-on-wechat/issues/43))
 + `subscribe_msg`：订阅消息，公众号和企业微信channel中请填写，当被订阅时会自动回复， 可使用特殊占位符。目前支持的占位符有{trigger_prefix}，在程序中它会自动替换成bot的触发词。

@@ -173,11 +217,11 @@ pip3 install -r requirements-optional.txt

 + `use_linkai`: 是否使用LinkAI接口，开启后可国内访问，使用知识库和 `Midjourney` 绘画, 参考 [文档](https://link-ai.tech/platform/link-app/wechat)
 + `linkai_api_key`: LinkAI Api Key，可在 [控制台](https://link-ai.tech/console/interface) 创建
-+ `linkai_app_code`: LinkAI 应用code，选填
+ `linkai_app_code`: LinkAI 应用或工作流的code，选填

 **本说明文档可能会未及时更新，当前所有可选的配置项均在该[`config.py`](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/config.py)中列出。**

-## 运行
+## 三、运行

 ### 1.本地运行

@@ -187,7 +231,7 @@ pip3 install -r requirements-optional.txt
 python3 app.py                                    # windows环境下该命令通常为 python app.py
 ```

-终端输出二维码后，使用微信进行扫码，当输出 "Start auto replying" 时表示自动回复程序已经成功运行了（注意：用于登录的微信需要在支付处已完成实名认证）。扫码登录后你的账号就成为机器人了，可以在微信手机端通过配置的关键词触发自动回复 (任意好友发送消息给你，或是自己发消息给好友)，参考[#142](https://github.com/zhayujie/chatgpt-on-wechat/issues/142)。
+终端输出二维码后，进行扫码登录，当输出 "Start auto replying" 时表示自动回复程序已经成功运行了（注意：用于登录的账号需要在支付处已完成实名认证）。扫码登录后你的账号就成为机器人了，可以在手机端通过配置的关键词触发自动回复 (任意好友发送消息给你，或是自己发消息给好友)，参考[#142](https://github.com/zhayujie/chatgpt-on-wechat/issues/142)。

 ### 2.服务器部署

@@ -209,7 +253,7 @@ nohup python3 app.py & tail -f nohup.out          # 在后台运行程序并通

 > 前提是需要安装好 `docker` 及 `docker-compose`，安装成功的表现是执行 `docker -v` 和 `docker-compose version` (或 docker compose version) 可以查看到版本号，可前往 [docker官网](https://docs.docker.com/engine/install/) 进行下载。

-#### (1) 下载 docker-compose.yml 文件
+**(1) 下载 docker-compose.yml 文件**

 ```bash
 wget https://open-1317903499.cos.ap-guangzhou.myqcloud.com/docker-compose.yml
@@ -217,7 +261,7 @@ wget https://open-1317903499.cos.ap-guangzhou.myqcloud.com/docker-compose.yml

 下载完成后打开 `docker-compose.yml` 修改所需配置，如 `OPEN_AI_API_KEY` 和 `GROUP_NAME_WHITE_LIST` 等。

-#### (2) 启动容器
+**(2) 启动容器**

 在 `docker-compose.yml` 所在目录下执行以下命令启动容器：

@@ -238,7 +282,7 @@ sudo docker compose up -d
 sudo docker logs -f chatgpt-on-wechat
 ```

-#### (3) 插件使用
+**(3) 插件使用**

 如果需要在docker容器中修改插件配置，可通过挂载的方式完成，将 [插件配置文件](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/config.json.template)
 重命名为 `config.json`，放置于 `docker-compose.yml` 相同目录下，并在 `docker-compose.yml` 中的 `chatgpt-on-wechat` 部分下添加 `volumes` 映射:
@@ -247,7 +291,7 @@ sudo docker logs -f chatgpt-on-wechat
 volumes:
  - ./config.json:/app/plugins/config.json
 ```
-
+**注**：采用docker方式部署的详细教程可以参考：[docker部署CoW项目](https://www.wangpc.cc/ai/docker-deploy-cow/)
 ### 4. Railway部署

 > Railway 每月提供5刀和最多500小时的免费额度。 (07.11更新: 目前大部分账号已无法免费部署)
@@ -260,16 +304,22 @@ volumes:
  
  [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/qApznZ?referralCode=RC3znh)

-## 常见问题
+<br>
+
+# 🔎 常见问题

 FAQs： <https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs>

-或直接在线咨询 [项目小助手](https://link-ai.tech/app/Kv2fXJcH)  (beta版本，语料完善中，回复仅供参考)
+或直接在线咨询 [项目小助手](https://link-ai.tech/app/Kv2fXJcH)  (语料持续完善中，回复仅供参考)

-## 开发
+# 🛠️ 开发

 欢迎接入更多应用，参考 [Terminal代码](https://github.com/zhayujie/chatgpt-on-wechat/blob/master/channel/terminal/terminal_channel.py) 实现接收和发送消息逻辑即可接入。 同时欢迎增加新的插件，参考 [插件说明文档](https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins)。

-## 联系
+# ✉ 联系

 欢迎提交PR、Issues，以及Star支持一下。程序运行遇到问题可以查看 [常见问题列表](https://github.com/zhayujie/chatgpt-on-wechat/wiki/FAQs) ，其次前往 [Issues](https://github.com/zhayujie/chatgpt-on-wechat/issues) 中搜索。个人开发者可加入开源交流群参与更多讨论，企业用户可联系[产品顾问](https://img-1317903499.cos.ap-guangzhou.myqcloud.com/docs/product-manager-qrcode.jpg)咨询。
+
+# 🌟 贡献者
+
+![cow contributors](https://contrib.rocks/image?repo=zhayujie/chatgpt-on-wechat&max=1000)
--- a/app.py
+++ b/app.py
@@ -27,7 +27,7 @@ def sigterm_handler_wrap(_signo):

 def start_channel(channel_name: str):
    channel = channel_factory.create_channel(channel_name)
-    if channel_name in ["wx", "wxy", "terminal", "wechatmp", "wechatmp_service", "wechatcom_app", "wework",
+    if channel_name in ["wx", "wxy", "terminal", "wechatmp","web", "wechatmp_service", "wechatcom_app", "wework",
                        const.FEISHU, const.DINGTALK]:
        PluginManager().load_plugins()

--- a/bot/baidu/baidu_wenxin.py
+++ b/bot/baidu/baidu_wenxin.py
@@ -1,6 +1,8 @@
 # encoding:utf-8

-import requests, json
+import requests
+import json
+from common import const
 from bot.bot import Bot
 from bot.session_manager import SessionManager
 from bridge.context import ContextType
@@ -16,9 +18,20 @@ class BaiduWenxinBot(Bot):

    def __init__(self):
        super().__init__()
-        wenxin_model = conf().get("baidu_wenxin_model") or "eb-instant"
-        if conf().get("model") and conf().get("model") == "wenxin-4":
-            wenxin_model = "completions_pro"
+        wenxin_model = conf().get("baidu_wenxin_model")
+        self.prompt_enabled = conf().get("baidu_wenxin_prompt_enabled")
+        if self.prompt_enabled:
+            self.prompt = conf().get("character_desc", "")
+            if self.prompt == "":
+                logger.warn("[BAIDU] Although you enabled model prompt, character_desc is not specified.")
+        if wenxin_model is not None:
+            wenxin_model = conf().get("baidu_wenxin_model") or "eb-instant"
+        else:
+            if conf().get("model") and conf().get("model") == const.WEN_XIN:
+                wenxin_model = "completions"
+            elif conf().get("model") and conf().get("model") == const.WEN_XIN_4:
+                wenxin_model = "completions_pro"
+
        self.sessions = SessionManager(BaiduWenxinSession, model=wenxin_model)

    def reply(self, query, context=None):
@@ -76,7 +89,7 @@ class BaiduWenxinBot(Bot):
            headers = {
                'Content-Type': 'application/json'
            }
-            payload = {'messages': session.messages}
+            payload = {'messages': session.messages, 'system': self.prompt} if self.prompt_enabled else {'messages': session.messages}
            response = requests.request("POST", url, headers=headers, data=json.dumps(payload))
            response_text = json.loads(response.text)
            logger.info(f"[BAIDU] response text={response_text}")
@@ -94,7 +107,7 @@ class BaiduWenxinBot(Bot):
            logger.warn("[BAIDU] Exception: {}".format(e))
            need_retry = False
            self.sessions.clear_session(session.session_id)
-            result = {"completion_tokens": 0, "content": "出错了: {}".format(e)}
+            result = {"total_tokens": 0, "completion_tokens": 0, "content": "出错了: {}".format(e)}
            return result

    def get_access_token(self):
--- a/bot/bot_factory.py
+++ b/bot/bot_factory.py
@@ -2,7 +2,6 @@
 channel factory
 """
 from common import const
-from common.log import logger


 def create_bot(bot_type):
@@ -50,7 +49,9 @@ def create_bot(bot_type):
    elif bot_type == const.QWEN:
        from bot.ali.ali_qwen_bot import AliQwenBot
        return AliQwenBot()
-
+    elif bot_type == const.QWEN_DASHSCOPE:
+        from bot.dashscope.dashscope_bot import DashscopeBot
+        return DashscopeBot()
    elif bot_type == const.GEMINI:
        from bot.gemini.google_gemini_bot import GoogleGeminiBot
        return GoogleGeminiBot()
@@ -59,5 +60,17 @@ def create_bot(bot_type):
        from bot.zhipuai.zhipuai_bot import ZHIPUAIBot
        return ZHIPUAIBot()

+    elif bot_type == const.MOONSHOT:
+        from bot.moonshot.moonshot_bot import MoonshotBot
+        return MoonshotBot()
+    
+    elif bot_type == const.MiniMax:
+        from bot.minimax.minimax_bot import MinimaxBot
+        return MinimaxBot()
+
+    elif bot_type == const.MODELSCOPE:
+        from bot.modelscope.modelscope_bot import ModelScopeBot
+        return ModelScopeBot()
+

    raise RuntimeError
--- a/bot/chatgpt/chat_gpt_bot.py
+++ b/bot/chatgpt/chat_gpt_bot.py
@@ -5,7 +5,7 @@ import time
 import openai
 import openai.error
 import requests
-
+from common import const
 from bot.bot import Bot
 from bot.chatgpt.chat_gpt_session import ChatGPTSession
 from bot.openai.open_ai_image import OpenAIImage
@@ -15,7 +15,7 @@ from bridge.reply import Reply, ReplyType
 from common.log import logger
 from common.token_bucket import TokenBucket
 from config import conf, load_config
-
+from bot.baidu.baidu_wenxin_session import BaiduWenxinSession

 # OpenAI对话模型API (可用)
 class ChatGPTBot(Bot, OpenAIImage):
@@ -30,10 +30,12 @@ class ChatGPTBot(Bot, OpenAIImage):
            openai.proxy = proxy
        if conf().get("rate_limit_chatgpt"):
            self.tb4chatgpt = TokenBucket(conf().get("rate_limit_chatgpt", 20))
-
+        conf_model = conf().get("model") or "gpt-3.5-turbo"
        self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
+        # o1相关模型不支持system prompt，暂时用文心模型的session
+
        self.args = {
-            "model": conf().get("model") or "gpt-3.5-turbo",  # 对话模型的名称
+            "model": conf_model,  # 对话模型的名称
            "temperature": conf().get("temperature", 0.9),  # 值在[0,1]之间，越大表示回复越具有不确定性
            # "max_tokens":4096,  # 回复最大的字符数
            "top_p": conf().get("top_p", 1),
@@ -42,6 +44,12 @@ class ChatGPTBot(Bot, OpenAIImage):
            "request_timeout": conf().get("request_timeout", None),  # 请求超时时间，openai接口默认设置为600，对于难问题一般需要较长时间
            "timeout": conf().get("request_timeout", None),  # 重试超时时间，在这个时间内，将会自动重试
        }
+        # o1相关模型固定了部分参数，暂时去掉
+        if conf_model in [const.O1, const.O1_MINI]:
+            self.sessions = SessionManager(BaiduWenxinSession, model=conf().get("model") or const.O1_MINI)
+            remove_keys = ["temperature", "top_p", "frequency_penalty", "presence_penalty"]
+            for key in remove_keys:
+                self.args.pop(key, None)  # 如果键不存在，使用 None 来避免抛出错误

    def reply(self, query, context=None):
        # acquire reply content
@@ -171,24 +179,70 @@ class AzureChatGPTBot(ChatGPTBot):
        self.args["deployment_id"] = conf().get("azure_deployment_id")

    def create_img(self, query, retry_count=0, api_key=None):
-        api_version = "2022-08-03-preview"
-        url = "{}dalle/text-to-image?api-version={}".format(openai.api_base, api_version)
-        api_key = api_key or openai.api_key
-        headers = {"api-key": api_key, "Content-Type": "application/json"}
-        try:
-            body = {"caption": query, "resolution": conf().get("image_create_size", "256x256")}
-            submission = requests.post(url, headers=headers, json=body)
-            operation_location = submission.headers["Operation-Location"]
-            retry_after = submission.headers["Retry-after"]
-            status = ""
-            image_url = ""
-            while status != "Succeeded":
-                logger.info("waiting for image create..., " + status + ",retry after " + retry_after + " seconds")
-                time.sleep(int(retry_after))
-                response = requests.get(operation_location, headers=headers)
-                status = response.json()["status"]
-            image_url = response.json()["result"]["contentUrl"]
-            return True, image_url
-        except Exception as e:
-            logger.error("create image error: {}".format(e))
-            return False, "图片生成失败"
+        text_to_image_model = conf().get("text_to_image")
+        if text_to_image_model == "dall-e-2":
+            api_version = "2023-06-01-preview"
+            endpoint = conf().get("azure_openai_dalle_api_base","open_ai_api_base")
+            # 检查endpoint是否以/结尾
+            if not endpoint.endswith("/"):
+                endpoint = endpoint + "/"
+            url = "{}openai/images/generations:submit?api-version={}".format(endpoint, api_version)
+            api_key = conf().get("azure_openai_dalle_api_key","open_ai_api_key")
+            headers = {"api-key": api_key, "Content-Type": "application/json"}
+            try:
+                body = {"prompt": query, "size": conf().get("image_create_size", "256x256"),"n": 1}
+                submission = requests.post(url, headers=headers, json=body)
+                operation_location = submission.headers['operation-location']
+                status = ""
+                while (status != "succeeded"):
+                    if retry_count > 3:
+                        return False, "图片生成失败"
+                    response = requests.get(operation_location, headers=headers)
+                    status = response.json()['status']
+                    retry_count += 1
+                image_url = response.json()['result']['data'][0]['url']
+                return True, image_url
+            except Exception as e:
+                logger.error("create image error: {}".format(e))
+                return False, "图片生成失败"
+        elif text_to_image_model == "dall-e-3":
+            api_version = conf().get("azure_api_version", "2024-02-15-preview")
+            endpoint = conf().get("azure_openai_dalle_api_base","open_ai_api_base")
+            # 检查endpoint是否以/结尾
+            if not endpoint.endswith("/"):
+                endpoint = endpoint + "/"
+            url = "{}openai/deployments/{}/images/generations?api-version={}".format(endpoint, conf().get("azure_openai_dalle_deployment_id","text_to_image"),api_version)
+            api_key = conf().get("azure_openai_dalle_api_key","open_ai_api_key")
+            headers = {"api-key": api_key, "Content-Type": "application/json"}
+            try:
+                body = {"prompt": query, "size": conf().get("image_create_size", "1024x1024"), "quality": conf().get("dalle3_image_quality", "standard")}
+                response = requests.post(url, headers=headers, json=body)
+                response.raise_for_status()  # 检查请求是否成功
+                data = response.json()
+
+                # 检查响应中是否包含图像 URL
+                if 'data' in data and len(data['data']) > 0 and 'url' in data['data'][0]:
+                    image_url = data['data'][0]['url']
+                    return True, image_url
+                else:
+                    error_message = "响应中没有图像 URL"
+                    logger.error(error_message)
+                    return False, "图片生成失败"
+
+            except requests.exceptions.RequestException as e:
+                # 捕获所有请求相关的异常
+                try:
+                    error_detail = response.json().get('error', {}).get('message', str(e))
+                except ValueError:
+                    error_detail = str(e)
+                error_message = f"{error_detail}"
+                logger.error(error_message)
+                return False, error_message
+
+            except Exception as e:
+                # 捕获所有其他异常
+                error_message = f"生成图像时发生错误: {e}"
+                logger.error(error_message)
+                return False, "图片生成失败"
+        else:
+            return False, "图片生成失败，未配置text_to_image参数"
--- a/bot/chatgpt/chat_gpt_session.py
+++ b/bot/chatgpt/chat_gpt_session.py
@@ -57,16 +57,17 @@ class ChatGPTSession(Session):
 def num_tokens_from_messages(messages, model):
    """Returns the number of tokens used by a list of messages."""

-    if model in ["wenxin", "xunfei", const.GEMINI]:
+    if model in ["wenxin", "xunfei"] or model.startswith(const.GEMINI):
        return num_tokens_by_character(messages)

    import tiktoken

-    if model in ["gpt-3.5-turbo-0301", "gpt-35-turbo", "gpt-3.5-turbo-1106", "moonshot"]:
+    if model in ["gpt-3.5-turbo-0301", "gpt-35-turbo", "gpt-3.5-turbo-1106", "moonshot", const.LINKAI_35]:
        return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
    elif model in ["gpt-4-0314", "gpt-4-0613", "gpt-4-32k", "gpt-4-32k-0613", "gpt-3.5-turbo-0613",
                   "gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-35-turbo-16k", "gpt-4-turbo-preview",
-                   "gpt-4-1106-preview", const.GPT4_TURBO_PREVIEW, const.GPT4_VISION_PREVIEW]:
+                   "gpt-4-1106-preview", const.GPT4_TURBO_PREVIEW, const.GPT4_VISION_PREVIEW, const.GPT4_TURBO_01_25,
+                   const.GPT_4o, const.GPT_4O_0806, const.GPT_4o_MINI, const.LINKAI_4o, const.LINKAI_4_TURBO]:
        return num_tokens_from_messages(messages, model="gpt-4")
    elif model.startswith("claude-3"):
        return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
@@ -82,7 +83,7 @@ def num_tokens_from_messages(messages, model):
        tokens_per_message = 3
        tokens_per_name = 1
    else:
-        logger.warn(f"num_tokens_from_messages() is not implemented for model {model}. Returning num tokens assuming gpt-3.5-turbo.")
+        logger.debug(f"num_tokens_from_messages() is not implemented for model {model}. Returning num tokens assuming gpt-3.5-turbo.")
        return num_tokens_from_messages(messages, model="gpt-3.5-turbo")
    num_tokens = 0
    for message in messages:
--- a/bot/claudeapi/claude_api_bot.py
+++ b/bot/claudeapi/claude_api_bot.py
@@ -8,12 +8,12 @@ import anthropic

 from bot.bot import Bot
 from bot.openai.open_ai_image import OpenAIImage
-from bot.chatgpt.chat_gpt_session import ChatGPTSession
-from bot.gemini.google_gemini_bot import GoogleGeminiBot
+from bot.baidu.baidu_wenxin_session import BaiduWenxinSession
 from bot.session_manager import SessionManager
 from bridge.context import ContextType
 from bridge.reply import Reply, ReplyType
 from common.log import logger
+from common import const
 from config import conf

 user_session = dict()
@@ -23,17 +23,14 @@ user_session = dict()
 class ClaudeAPIBot(Bot, OpenAIImage):
    def __init__(self):
        super().__init__()
+        proxy = conf().get("proxy", None)
+        base_url = conf().get("open_ai_api_base", None)  # 复用"open_ai_api_base"参数作为base_url
        self.claudeClient = anthropic.Anthropic(
-            api_key=conf().get("claude_api_key")
+            api_key=conf().get("claude_api_key"),
+            proxies=proxy if proxy else None,
+            base_url=base_url if base_url else None
        )
-        openai.api_key = conf().get("open_ai_api_key")
-        if conf().get("open_ai_api_base"):
-            openai.api_base = conf().get("open_ai_api_base")
-        proxy = conf().get("proxy")
-        if proxy:
-            openai.proxy = proxy
-
-        self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "text-davinci-003")
+        self.sessions = SessionManager(BaiduWenxinSession, model=conf().get("model") or "text-davinci-003")

    def reply(self, query, context=None):
        # acquire reply content
@@ -76,14 +73,14 @@ class ClaudeAPIBot(Bot, OpenAIImage):
                    reply = Reply(ReplyType.ERROR, retstring)
                return reply

-    def reply_text(self, session: ChatGPTSession, retry_count=0):
+    def reply_text(self, session: BaiduWenxinSession, retry_count=0):
        try:
            actual_model = self._model_mapping(conf().get("model"))
            response = self.claudeClient.messages.create(
                model=actual_model,
-                max_tokens=1024,
-                # system=conf().get("system"),
-                messages=GoogleGeminiBot.filter_messages(session.messages)
+                max_tokens=4096,
+                system=conf().get("character_desc", ""),
+                messages=session.messages
            )
            # response = openai.Completion.create(prompt=str(session), **self.args)
            res_content = response.content[0].text.strip().replace("<|endoftext|>", "")
@@ -97,7 +94,7 @@ class ClaudeAPIBot(Bot, OpenAIImage):
            }
        except Exception as e:
            need_retry = retry_count < 2
-            result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+            result = {"total_tokens": 0, "completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
            if isinstance(e, openai.error.RateLimitError):
                logger.warn("[CLAUDE_API] RateLimitError: {}".format(e))
                result["content"] = "提问太快啦，请休息一下再问我吧"
@@ -125,9 +122,11 @@ class ClaudeAPIBot(Bot, OpenAIImage):

    def _model_mapping(self, model) -> str:
        if model == "claude-3-opus":
-            return "claude-3-opus-20240229"
+            return const.CLAUDE_3_OPUS
        elif model == "claude-3-sonnet":
-            return "claude-3-sonnet-20240229"
+            return const.CLAUDE_3_SONNET
        elif model == "claude-3-haiku":
-            return "claude-3-haiku-20240307"
+            return const.CLAUDE_3_HAIKU
+        elif model == "claude-3.5-sonnet":
+            return const.CLAUDE_35_SONNET
        return model
--- a/bot/dashscope/dashscope_bot.py
+++ b/bot/dashscope/dashscope_bot.py
@@ -0,0 +1,117 @@
+# encoding:utf-8
+
+from bot.bot import Bot
+from bot.session_manager import SessionManager
+from bridge.context import ContextType
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+from config import conf, load_config
+from .dashscope_session import DashscopeSession
+import os
+import dashscope
+from http import HTTPStatus
+
+
+
+dashscope_models = {
+    "qwen-turbo": dashscope.Generation.Models.qwen_turbo,
+    "qwen-plus": dashscope.Generation.Models.qwen_plus,
+    "qwen-max": dashscope.Generation.Models.qwen_max,
+    "qwen-bailian-v1": dashscope.Generation.Models.bailian_v1
+}
+# ZhipuAI对话模型API
+class DashscopeBot(Bot):
+    def __init__(self):
+        super().__init__()
+        self.sessions = SessionManager(DashscopeSession, model=conf().get("model") or "qwen-plus")
+        self.model_name = conf().get("model") or "qwen-plus"
+        self.api_key = conf().get("dashscope_api_key")
+        os.environ["DASHSCOPE_API_KEY"] = self.api_key
+        self.client = dashscope.Generation
+
+    def reply(self, query, context=None):
+        # acquire reply content
+        if context.type == ContextType.TEXT:
+            logger.info("[DASHSCOPE] query={}".format(query))
+
+            session_id = context["session_id"]
+            reply = None
+            clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
+            if query in clear_memory_commands:
+                self.sessions.clear_session(session_id)
+                reply = Reply(ReplyType.INFO, "记忆已清除")
+            elif query == "#清除所有":
+                self.sessions.clear_all_session()
+                reply = Reply(ReplyType.INFO, "所有人记忆已清除")
+            elif query == "#更新配置":
+                load_config()
+                reply = Reply(ReplyType.INFO, "配置已更新")
+            if reply:
+                return reply
+            session = self.sessions.session_query(query, session_id)
+            logger.debug("[DASHSCOPE] session query={}".format(session.messages))
+
+            reply_content = self.reply_text(session)
+            logger.debug(
+                "[DASHSCOPE] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
+                    session.messages,
+                    session_id,
+                    reply_content["content"],
+                    reply_content["completion_tokens"],
+                )
+            )
+            if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+            elif reply_content["completion_tokens"] > 0:
+                self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
+                reply = Reply(ReplyType.TEXT, reply_content["content"])
+            else:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+                logger.debug("[DASHSCOPE] reply {} used 0 tokens.".format(reply_content))
+            return reply
+        else:
+            reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
+            return reply
+
+    def reply_text(self, session: DashscopeSession, retry_count=0) -> dict:
+        """
+        call openai's ChatCompletion to get the answer
+        :param session: a conversation session
+        :param session_id: session id
+        :param retry_count: retry count
+        :return: {}
+        """
+        try:
+            dashscope.api_key = self.api_key
+            response = self.client.call(
+                dashscope_models[self.model_name],
+                messages=session.messages,
+                result_format="message"
+            )
+            if response.status_code == HTTPStatus.OK:
+                content = response.output.choices[0]["message"]["content"]
+                return {
+                    "total_tokens": response.usage["total_tokens"],
+                    "completion_tokens": response.usage["output_tokens"],
+                    "content": content,
+                }
+            else:
+                logger.error('Request id: %s, Status code: %s, error code: %s, error message: %s' % (
+                    response.request_id, response.status_code,
+                    response.code, response.message
+                ))
+                result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+                need_retry = retry_count < 2
+                result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+                if need_retry:
+                    return self.reply_text(session, retry_count + 1)
+                else:
+                    return result
+        except Exception as e:
+            logger.exception(e)
+            need_retry = retry_count < 2
+            result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+            if need_retry:
+                return self.reply_text(session, retry_count + 1)
+            else:
+                return result
--- a/bot/dashscope/dashscope_session.py
+++ b/bot/dashscope/dashscope_session.py
@@ -0,0 +1,51 @@
+from bot.session_manager import Session
+from common.log import logger
+
+
+class DashscopeSession(Session):
+    def __init__(self, session_id, system_prompt=None, model="qwen-turbo"):
+        super().__init__(session_id)
+        self.reset()
+
+    def discard_exceeding(self, max_tokens, cur_tokens=None):
+        precise = True
+        try:
+            cur_tokens = self.calc_tokens()
+        except Exception as e:
+            precise = False
+            if cur_tokens is None:
+                raise e
+            logger.debug("Exception when counting tokens precisely for query: {}".format(e))
+        while cur_tokens > max_tokens:
+            if len(self.messages) > 2:
+                self.messages.pop(1)
+            elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant":
+                self.messages.pop(1)
+                if precise:
+                    cur_tokens = self.calc_tokens()
+                else:
+                    cur_tokens = cur_tokens - max_tokens
+                break
+            elif len(self.messages) == 2 and self.messages[1]["role"] == "user":
+                logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
+                break
+            else:
+                logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens,
+                                                                                       len(self.messages)))
+                break
+            if precise:
+                cur_tokens = self.calc_tokens()
+            else:
+                cur_tokens = cur_tokens - max_tokens
+        return cur_tokens
+
+    def calc_tokens(self):
+        return num_tokens_from_messages(self.messages)
+
+
+def num_tokens_from_messages(messages):
+    # 只是大概，具体计算规则：https://help.aliyun.com/zh/dashscope/developer-reference/token-api?spm=a2c4g.11186623.0.0.4d8b12b0BkP3K9
+    tokens = 0
+    for msg in messages:
+        tokens += len(msg["content"])
+    return tokens
--- a/bot/gemini/google_gemini_bot.py
+++ b/bot/gemini/google_gemini_bot.py
@@ -13,7 +13,9 @@ from bridge.context import ContextType, Context
 from bridge.reply import Reply, ReplyType
 from common.log import logger
 from config import conf
+from bot.chatgpt.chat_gpt_session import ChatGPTSession
 from bot.baidu.baidu_wenxin_session import BaiduWenxinSession
+from google.generativeai.types import HarmCategory, HarmBlockThreshold


 # OpenAI对话模型API (可用)
@@ -22,9 +24,11 @@ class GoogleGeminiBot(Bot):
    def __init__(self):
        super().__init__()
        self.api_key = conf().get("gemini_api_key")
-        # 复用文心的token计算方式
-        self.sessions = SessionManager(BaiduWenxinSession, model=conf().get("model") or "gpt-3.5-turbo")
-
+        # 复用chatGPT的token计算方式
+        self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
+        self.model = conf().get("model") or "gemini-pro"
+        if self.model == "gemini":
+            self.model = "gemini-pro"
    def reply(self, query, context: Context = None) -> Reply:
        try:
            if context.type != ContextType.TEXT:
@@ -34,18 +38,44 @@ class GoogleGeminiBot(Bot):
            session_id = context["session_id"]
            session = self.sessions.session_query(query, session_id)
            gemini_messages = self._convert_to_gemini_messages(self.filter_messages(session.messages))
+            logger.debug(f"[Gemini] messages={gemini_messages}")
            genai.configure(api_key=self.api_key)
-            model = genai.GenerativeModel('gemini-pro')
-            response = model.generate_content(gemini_messages)
-            reply_text = response.text
-            self.sessions.session_reply(reply_text, session_id)
-            logger.info(f"[Gemini] reply={reply_text}")
-            return Reply(ReplyType.TEXT, reply_text)
+            model = genai.GenerativeModel(self.model)
+            
+            # 添加安全设置
+            safety_settings = {
+                HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_NONE,
+                HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_NONE,
+                HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_NONE,
+                HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,
+            }
+            
+            # 生成回复，包含安全设置
+            response = model.generate_content(
+                gemini_messages,
+                safety_settings=safety_settings
+            )
+            if response.candidates and response.candidates[0].content:
+                reply_text = response.candidates[0].content.parts[0].text
+                logger.info(f"[Gemini] reply={reply_text}")
+                self.sessions.session_reply(reply_text, session_id)
+                return Reply(ReplyType.TEXT, reply_text)
+            else:
+                # 没有有效响应内容，可能内容被屏蔽，输出安全评分
+                logger.warning("[Gemini] No valid response generated. Checking safety ratings.")
+                if hasattr(response, 'candidates') and response.candidates:
+                    for rating in response.candidates[0].safety_ratings:
+                        logger.warning(f"Safety rating: {rating.category} - {rating.probability}")
+                error_message = "No valid response generated due to safety constraints."
+                self.sessions.session_reply(error_message, session_id)
+                return Reply(ReplyType.ERROR, error_message)
+                    
        except Exception as e:
-            logger.error("[Gemini] fetch reply error, may contain unsafe content")
-            logger.error(e)
-            return Reply(ReplyType.ERROR, "invoke [Gemini] api failed!")
-
+            logger.error(f"[Gemini] Error generating response: {str(e)}", exc_info=True)
+            error_message = "Failed to invoke [Gemini] api!"
+            self.sessions.session_reply(error_message, session_id)
+            return Reply(ReplyType.ERROR, error_message)
+            
    def _convert_to_gemini_messages(self, messages: list):
        res = []
        for msg in messages:
@@ -53,6 +83,8 @@ class GoogleGeminiBot(Bot):
                role = "user"
            elif msg.get("role") == "assistant":
                role = "model"
+            elif msg.get("role") == "system":
+                role = "user"
            else:
                continue
            res.append({
@@ -69,7 +101,11 @@ class GoogleGeminiBot(Bot):
            return res
        for i in range(len(messages) - 1, -1, -1):
            message = messages[i]
-            if message.get("role") != turn:
+            role = message.get("role")
+            if role == "system":
+                res.insert(0, message)
+                continue
+            if role != turn:
                continue
            res.insert(0, message)
            if turn == "user":
--- a/bot/linkai/link_ai_bot.py
+++ b/bot/linkai/link_ai_bot.py
@@ -7,7 +7,6 @@ import requests
 import config
 from bot.bot import Bot
 from bot.chatgpt.chat_gpt_session import ChatGPTSession
-from bot.gemini.google_gemini_bot import GoogleGeminiBot
 from bot.session_manager import SessionManager
 from bridge.context import Context, ContextType
 from bridge.reply import Reply, ReplyType
@@ -123,7 +122,7 @@ class LinkAIBot(Bot):
            headers = {"Authorization": "Bearer " + linkai_api_key}

            # do http request
-            base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
+            base_url = conf().get("linkai_api_base", "https://api.link-ai.tech")
            res = requests.post(url=base_url + "/v1/chat/completions", json=body, headers=headers,
                                timeout=conf().get("request_timeout", 180))
            if res.status_code == 200:
@@ -148,9 +147,9 @@ class LinkAIBot(Bot):
                if response["choices"][0].get("img_urls"):
                    thread = threading.Thread(target=self._send_image, args=(context.get("channel"), context, response["choices"][0].get("img_urls")))
                    thread.start()
-                    if response["choices"][0].get("text_content"):
-                        reply_content = response["choices"][0].get("text_content")
-                reply_content = self._process_url(reply_content)
+                    reply_content = response["choices"][0].get("text_content")
+                if reply_content:
+                    reply_content = self._process_url(reply_content)
                return Reply(ReplyType.TEXT, reply_content)

            else:
@@ -262,7 +261,7 @@ class LinkAIBot(Bot):
            headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}

            # do http request
-            base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
+            base_url = conf().get("linkai_api_base", "https://api.link-ai.tech")
            res = requests.post(url=base_url + "/v1/chat/completions", json=body, headers=headers,
                                timeout=conf().get("request_timeout", 180))
            if res.status_code == 200:
@@ -305,7 +304,7 @@ class LinkAIBot(Bot):
    def _fetch_app_info(self, app_code: str):
        headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
        # do http request
-        base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
+        base_url = conf().get("linkai_api_base", "https://api.link-ai.tech")
        params = {"app_code": app_code}
        res = requests.get(url=base_url + "/v1/app/info", params=params, headers=headers, timeout=(5, 10))
        if res.status_code == 200:
@@ -327,7 +326,7 @@ class LinkAIBot(Bot):
                "response_format": "url",
                "img_proxy": conf().get("image_proxy")
            }
-            url = conf().get("linkai_api_base", "https://api.link-ai.chat") + "/v1/images/generations"
+            url = conf().get("linkai_api_base", "https://api.link-ai.tech") + "/v1/images/generations"
            res = requests.post(url, headers=headers, json=data, timeout=(5, 90))
            t2 = time.time()
            image_url = res.json()["data"][0]["url"]
@@ -400,6 +399,7 @@ class LinkAIBot(Bot):
            return
        max_send_num = conf().get("max_media_send_count")
        send_interval = conf().get("media_send_interval")
+        file_type = (".pdf", ".doc", ".docx", ".csv", ".xls", ".xlsx", ".txt", ".rtf", ".ppt", ".pptx")
        try:
            i = 0
            for url in image_urls:
@@ -408,7 +408,7 @@ class LinkAIBot(Bot):
                i += 1
                if url.endswith(".mp4"):
                    reply_type = ReplyType.VIDEO_URL
-                elif url.endswith(".pdf") or url.endswith(".doc") or url.endswith(".docx") or url.endswith(".csv"):
+                elif url.endswith(file_type):
                    reply_type = ReplyType.FILE
                    url = _download_file(url)
                    if not url:
--- a/bot/minimax/minimax_bot.py
+++ b/bot/minimax/minimax_bot.py
@@ -0,0 +1,151 @@
+# encoding:utf-8
+
+import time
+
+import openai
+import openai.error
+from bot.bot import Bot
+from bot.minimax.minimax_session import MinimaxSession
+from bot.session_manager import SessionManager
+from bridge.context import Context, ContextType
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+from config import conf, load_config
+from bot.chatgpt.chat_gpt_session import ChatGPTSession
+import requests
+from common import const
+
+
+# ZhipuAI对话模型API
+class MinimaxBot(Bot):
+    def __init__(self):
+        super().__init__()
+        self.args = {
+            "model": conf().get("model") or "abab6.5",  # 对话模型的名称
+            "temperature": conf().get("temperature", 0.3),  # 如果设置，值域须为 [0, 1] 我们推荐 0.3，以达到较合适的效果。
+            "top_p": conf().get("top_p", 0.95),  # 使用默认值
+        }
+        self.api_key = conf().get("Minimax_api_key")
+        self.group_id = conf().get("Minimax_group_id")
+        self.base_url = conf().get("Minimax_base_url", f"https://api.minimax.chat/v1/text/chatcompletion_pro?GroupId={self.group_id}")
+        # tokens_to_generate/bot_setting/reply_constraints可自行修改
+        self.request_body = {
+            "model": self.args["model"],
+            "tokens_to_generate": 2048,
+            "reply_constraints": {"sender_type": "BOT", "sender_name": "MM智能助理"},
+            "messages": [],
+            "bot_setting": [
+                {
+                    "bot_name": "MM智能助理",
+                    "content": "MM智能助理是一款由MiniMax自研的，没有调用其他产品的接口的大型语言模型。MiniMax是一家中国科技公司，一直致力于进行大模型相关的研究。",
+                }
+            ],
+        }
+        self.sessions = SessionManager(MinimaxSession, model=const.MiniMax)
+
+    def reply(self, query, context: Context = None) -> Reply:
+        # acquire reply content
+        logger.info("[Minimax_AI] query={}".format(query))
+        if context.type == ContextType.TEXT:
+            session_id = context["session_id"]
+            reply = None
+            clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
+            if query in clear_memory_commands:
+                self.sessions.clear_session(session_id)
+                reply = Reply(ReplyType.INFO, "记忆已清除")
+            elif query == "#清除所有":
+                self.sessions.clear_all_session()
+                reply = Reply(ReplyType.INFO, "所有人记忆已清除")
+            elif query == "#更新配置":
+                load_config()
+                reply = Reply(ReplyType.INFO, "配置已更新")
+            if reply:
+                return reply
+            session = self.sessions.session_query(query, session_id)
+            logger.debug("[Minimax_AI] session query={}".format(session))
+
+            model = context.get("Minimax_model")
+            new_args = self.args.copy()
+            if model:
+                new_args["model"] = model
+            # if context.get('stream'):
+            #     # reply in stream
+            #     return self.reply_text_stream(query, new_query, session_id)
+
+            reply_content = self.reply_text(session, args=new_args)
+            logger.debug(
+                "[Minimax_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
+                    session.messages,
+                    session_id,
+                    reply_content["content"],
+                    reply_content["completion_tokens"],
+                )
+            )
+            if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+            elif reply_content["completion_tokens"] > 0:
+                self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
+                reply = Reply(ReplyType.TEXT, reply_content["content"])
+            else:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+                logger.debug("[Minimax_AI] reply {} used 0 tokens.".format(reply_content))
+            return reply
+        else:
+            reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
+            return reply
+
+    def reply_text(self, session: MinimaxSession, args=None, retry_count=0) -> dict:
+        """
+        call openai's ChatCompletion to get the answer
+        :param session: a conversation session
+        :param session_id: session id
+        :param retry_count: retry count
+        :return: {}
+        """
+        try:
+            headers = {"Content-Type": "application/json", "Authorization": "Bearer " + self.api_key}
+            self.request_body["messages"].extend(session.messages)
+            logger.info("[Minimax_AI] request_body={}".format(self.request_body))
+            # logger.info("[Minimax_AI] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
+            res = requests.post(self.base_url, headers=headers, json=self.request_body)
+
+            # self.request_body["messages"].extend(response.json()["choices"][0]["messages"])
+            if res.status_code == 200:
+                response = res.json()
+                return {
+                    "total_tokens": response["usage"]["total_tokens"],
+                    "completion_tokens": response["usage"]["total_tokens"],
+                    "content": response["reply"],
+                }
+            else:
+                response = res.json()
+                error = response.get("error")
+                logger.error(f"[Minimax_AI] chat failed, status_code={res.status_code}, " f"msg={error.get('message')}, type={error.get('type')}")
+
+                result = {"completion_tokens": 0, "content": "提问太快啦，请休息一下再问我吧"}
+                need_retry = False
+                if res.status_code >= 500:
+                    # server error, need retry
+                    logger.warn(f"[Minimax_AI] do retry, times={retry_count}")
+                    need_retry = retry_count < 2
+                elif res.status_code == 401:
+                    result["content"] = "授权失败，请检查API Key是否正确"
+                elif res.status_code == 429:
+                    result["content"] = "请求过于频繁，请稍后再试"
+                    need_retry = retry_count < 2
+                else:
+                    need_retry = False
+
+                if need_retry:
+                    time.sleep(3)
+                    return self.reply_text(session, args, retry_count + 1)
+                else:
+                    return result
+        except Exception as e:
+            logger.exception(e)
+            need_retry = retry_count < 2
+            result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+            if need_retry:
+                return self.reply_text(session, args, retry_count + 1)
+            else:
+                return result
--- a/bot/minimax/minimax_session.py
+++ b/bot/minimax/minimax_session.py
@@ -0,0 +1,72 @@
+from bot.session_manager import Session
+from common.log import logger
+
+"""
+    e.g.
+    [
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": "Who won the world series in 2020?"},
+        {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
+        {"role": "user", "content": "Where was it played?"}
+    ]
+"""
+
+
+class MinimaxSession(Session):
+    def __init__(self, session_id, system_prompt=None, model="minimax"):
+        super().__init__(session_id, system_prompt)
+        self.model = model
+        # self.reset()
+
+    def add_query(self, query):
+        user_item = {"sender_type": "USER", "sender_name": self.session_id, "text": query}
+        self.messages.append(user_item)
+
+    def add_reply(self, reply):
+        assistant_item = {"sender_type": "BOT", "sender_name": "MM智能助理", "text": reply}
+        self.messages.append(assistant_item)
+
+    def discard_exceeding(self, max_tokens, cur_tokens=None):
+        precise = True
+        try:
+            cur_tokens = self.calc_tokens()
+        except Exception as e:
+            precise = False
+            if cur_tokens is None:
+                raise e
+            logger.debug("Exception when counting tokens precisely for query: {}".format(e))
+        while cur_tokens > max_tokens:
+            if len(self.messages) > 2:
+                self.messages.pop(1)
+            elif len(self.messages) == 2 and self.messages[1]["sender_type"] == "BOT":
+                self.messages.pop(1)
+                if precise:
+                    cur_tokens = self.calc_tokens()
+                else:
+                    cur_tokens = cur_tokens - max_tokens
+                break
+            elif len(self.messages) == 2 and self.messages[1]["sender_type"] == "USER":
+                logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
+                break
+            else:
+                logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens, len(self.messages)))
+                break
+            if precise:
+                cur_tokens = self.calc_tokens()
+            else:
+                cur_tokens = cur_tokens - max_tokens
+        return cur_tokens
+
+    def calc_tokens(self):
+        return num_tokens_from_messages(self.messages, self.model)
+
+
+def num_tokens_from_messages(messages, model):
+    """Returns the number of tokens used by a list of messages."""
+    # 官方token计算规则："对于中文文本来说，1个token通常对应一个汉字；对于英文文本来说，1个token通常对应3至4个字母或1个单词"
+    # 详情请产看文档：https://help.aliyun.com/document_detail/2586397.html
+    # 目前根据字符串长度粗略估计token数，不影响正常使用
+    tokens = 0
+    for msg in messages:
+        tokens += len(msg["text"])
+    return tokens
--- a/bot/modelscope/modelscope_bot.py
+++ b/bot/modelscope/modelscope_bot.py
@@ -0,0 +1,277 @@
+# encoding:utf-8
+
+import time
+import json
+import openai
+import openai.error
+from bot.bot import Bot
+from bot.session_manager import SessionManager
+from bridge.context import ContextType
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+from config import conf, load_config
+from .modelscope_session import ModelScopeSession
+import requests
+
+
+# ModelScope对话模型API
+class ModelScopeBot(Bot):
+    def __init__(self):
+        super().__init__()
+        self.sessions = SessionManager(ModelScopeSession, model=conf().get("model") or "Qwen/Qwen2.5-7B-Instruct")
+        model = conf().get("model") or "Qwen/Qwen2.5-7B-Instruct"
+        if model == "modelscope":
+            model = "Qwen/Qwen2.5-7B-Instruct"
+        self.args = {
+            "model": model,  # 对话模型的名称
+            "temperature": conf().get("temperature", 0.3),  # 如果设置，值域须为 [0, 1] 我们推荐 0.3，以达到较合适的效果。
+            "top_p": conf().get("top_p", 1.0),  # 使用默认值
+        }
+        self.api_key = conf().get("modelscope_api_key")
+        self.base_url = conf().get("modelscope_base_url", "https://api-inference.modelscope.cn/v1/chat/completions")
+        """
+        需要获取ModelScope支持API-inference的模型名称列表，请到魔搭社区官网模型中心查看 https://modelscope.cn/models?filter=inference_type&page=1。
+        或者使用命令 curl https://api-inference.modelscope.cn/v1/models 对模型列表和ID进行获取。查看commend/const.py文件也可以获取模型列表。
+        获取ModelScope的免费API Key，请到魔搭社区官网用户中心查看获取方式 https://modelscope.cn/docs/model-service/API-Inference/intro。
+        """
+    def reply(self, query, context=None):
+        # acquire reply content
+        if context.type == ContextType.TEXT:
+            logger.info("[MODELSCOPE_AI] query={}".format(query))
+
+            session_id = context["session_id"]
+            reply = None
+            clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
+            if query in clear_memory_commands:
+                self.sessions.clear_session(session_id)
+                reply = Reply(ReplyType.INFO, "记忆已清除")
+            elif query == "#清除所有":
+                self.sessions.clear_all_session()
+                reply = Reply(ReplyType.INFO, "所有人记忆已清除")
+            elif query == "#更新配置":
+                load_config()
+                reply = Reply(ReplyType.INFO, "配置已更新")
+            if reply:
+                return reply
+            session = self.sessions.session_query(query, session_id)
+            logger.debug("[MODELSCOPE_AI] session query={}".format(session.messages))
+
+            model = context.get("modelscope_model")
+            new_args = self.args.copy()
+            if model:
+                new_args["model"] = model
+
+            if new_args["model"] == "Qwen/QwQ-32B":
+                reply_content = self.reply_text_stream(session, args=new_args)
+            else:
+                reply_content = self.reply_text(session, args=new_args)
+
+            logger.debug(
+                "[MODELSCOPE_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
+                    session.messages,
+                    session_id,
+                    reply_content["content"],
+                    reply_content["completion_tokens"],
+                )
+            )
+            if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
+                # 只有当 content 为空且 completion_tokens 为 0 时才标记为错误
+                if len(reply_content["content"]) == 0:
+                    reply = Reply(ReplyType.ERROR, reply_content["content"])
+                else:
+                    reply = Reply(ReplyType.TEXT, reply_content["content"])
+            elif reply_content["completion_tokens"] > 0:
+                self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
+                reply = Reply(ReplyType.TEXT, reply_content["content"])
+            else:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+                logger.debug("[MODELSCOPE_AI] reply {} used 0 tokens.".format(reply_content))
+            return reply
+        elif context.type == ContextType.IMAGE_CREATE:
+            ok, retstring = self.create_img(query, 0)
+            reply = None
+            if ok:
+                reply = Reply(ReplyType.IMAGE_URL, retstring)
+            else:
+                reply = Reply(ReplyType.ERROR, retstring)
+            return reply
+        else:
+            reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
+            return reply
+
+    def reply_text(self, session: ModelScopeSession, args=None, retry_count=0) -> dict:
+        """
+        call openai's ChatCompletion to get the answer
+        :param session: a conversation session
+        :param session_id: session id
+        :param retry_count: retry count
+        :return: {}
+        """
+        try:
+            headers = {
+                "Content-Type": "application/json",
+                "Authorization": "Bearer " + self.api_key
+            }
+            
+            body = args
+            body["messages"] = session.messages
+            res = requests.post(
+                self.base_url,
+                headers=headers,
+                data=json.dumps(body)
+            )
+
+            if res.status_code == 200:
+                response = res.json()
+                return {
+                    "total_tokens": response["usage"]["total_tokens"],
+                    "completion_tokens": response["usage"]["completion_tokens"],
+                    "content": response["choices"][0]["message"]["content"]
+                }
+            else:
+                response = res.json()
+                if "errors" in response:
+                    error = response.get("errors")
+                elif "error" in response:
+                    error = response.get("error")
+                else:
+                    error = "Unknown error"
+                logger.error(f"[MODELSCOPE_AI] chat failed, status_code={res.status_code}, "
+                             f"msg={error.get('message')}, type={error.get('type')}")
+
+                result = {"completion_tokens": 0, "content": "提问太快啦，请休息一下再问我吧"}
+                need_retry = False
+                if res.status_code >= 500:
+                    # server error, need retry
+                    logger.warn(f"[MODELSCOPE_AI] do retry, times={retry_count}")
+                    need_retry = retry_count < 2
+                elif res.status_code == 401:
+                    result["content"] = "授权失败，请检查API Key是否正确"
+                elif res.status_code == 429:
+                    result["content"] = "请求过于频繁，请稍后再试"
+                    need_retry = retry_count < 2
+                else:
+                    need_retry = False
+
+                if need_retry:
+                    time.sleep(3)
+                    return self.reply_text(session, args, retry_count + 1)
+                else:
+                    return result
+        except Exception as e:
+            logger.exception(e)
+            need_retry = retry_count < 2
+            result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+            if need_retry:
+                return self.reply_text(session, args, retry_count + 1)
+            else:
+                return result
+
+    def reply_text_stream(self, session: ModelScopeSession, args=None, retry_count=0) -> dict:
+        """
+        call ModelScope's ChatCompletion to get the answer with stream response
+        :param session: a conversation session
+        :param session_id: session id
+        :param retry_count: retry count
+        :return: {}
+        """
+        try:
+            headers = {
+                "Content-Type": "application/json",
+                "Authorization": "Bearer " + self.api_key
+            }
+            
+            body = args
+            body["messages"] = session.messages
+            body["stream"] = True  # 启用流式响应
+
+            res = requests.post(
+                self.base_url,
+                headers=headers,
+                data=json.dumps(body),
+                stream=True
+            )
+            if res.status_code == 200:
+                content = ""
+                for line in res.iter_lines():
+                    if line:
+                        decoded_line = line.decode('utf-8')
+                        if decoded_line.startswith("data: "):
+                            try:
+                                json_data = json.loads(decoded_line[6:])
+                                delta_content = json_data.get("choices", [{}])[0].get("delta", {}).get("content", "")
+                                if delta_content:
+                                    content += delta_content
+                            except json.JSONDecodeError as e:
+                                pass
+                return {
+                    "total_tokens": 1,  # 流式响应通常不返回token使用情况
+                    "completion_tokens": 1,
+                    "content": content
+                }
+            else:
+                response = res.json()
+                if "errors" in response:
+                    error = response.get("errors")
+                elif "error" in response:
+                    error = response.get("error")
+                else:
+                    error = "Unknown error"
+                logger.error(f"[MODELSCOPE_AI] chat failed, status_code={res.status_code}, "
+                             f"msg={error.get('message')}, type={error.get('type')}")
+
+                result = {"completion_tokens": 0, "content": "提问太快啦，请休息一下再问我吧"}
+                need_retry = False
+                if res.status_code >= 500:
+                    # server error, need retry
+                    logger.warn(f"[MODELSCOPE_AI] do retry, times={retry_count}")
+                    need_retry = retry_count < 2
+                elif res.status_code == 401:
+                    result["content"] = "授权失败，请检查API Key是否正确"
+                elif res.status_code == 429:
+                    result["content"] = "请求过于频繁，请稍后再试"
+                    need_retry = retry_count < 2
+                else:
+                    need_retry = False
+
+                if need_retry:
+                    time.sleep(3)
+                    return self.reply_text_stream(session, args, retry_count + 1)
+                else:
+                    return result
+        except Exception as e:
+            logger.exception(e)
+            need_retry = retry_count < 2
+            result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+            if need_retry:
+                return self.reply_text_stream(session, args, retry_count + 1)
+            else:
+                return result
+    def create_img(self, query, retry_count=0):
+        try:
+            logger.info("[ModelScopeImage] image_query={}".format(query))
+            headers = {
+                "Content-Type": "application/json; charset=utf-8",  # 明确指定编码
+                "Authorization": f"Bearer {self.api_key}"
+            }
+            payload = {
+                "prompt": query,  # required
+                "n": 1,
+                "model": conf().get("text_to_image"),
+            }
+            url = "https://api-inference.modelscope.cn/v1/images/generations"
+            
+            # 手动序列化并保留中文（禁用 ASCII 转义）
+            json_payload = json.dumps(payload, ensure_ascii=False).encode('utf-8')
+            
+            # 使用 data 参数发送原始字符串（requests 会自动处理编码）
+            res = requests.post(url, headers=headers, data=json_payload)
+            
+            response_data = res.json()
+            image_url = response_data['images'][0]['url']
+            logger.info("[ModelScopeImage] image_url={}".format(image_url))
+            return True, image_url
+
+        except Exception as e:
+            logger.error(format(e))
+            return False, "画图出现问题，请休息一下再问我吧"
--- a/bot/modelscope/modelscope_session.py
+++ b/bot/modelscope/modelscope_session.py
@@ -0,0 +1,51 @@
+from bot.session_manager import Session
+from common.log import logger
+
+
+class ModelScopeSession(Session):
+    def __init__(self, session_id, system_prompt=None, model="Qwen/Qwen2.5-7B-Instruct"):
+        super().__init__(session_id, system_prompt)
+        self.model = model
+        self.reset()
+
+    def discard_exceeding(self, max_tokens, cur_tokens=None):
+        precise = True
+        try:
+            cur_tokens = self.calc_tokens()
+        except Exception as e:
+            precise = False
+            if cur_tokens is None:
+                raise e
+            logger.debug("Exception when counting tokens precisely for query: {}".format(e))
+        while cur_tokens > max_tokens:
+            if len(self.messages) > 2:
+                self.messages.pop(1)
+            elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant":
+                self.messages.pop(1)
+                if precise:
+                    cur_tokens = self.calc_tokens()
+                else:
+                    cur_tokens = cur_tokens - max_tokens
+                break
+            elif len(self.messages) == 2 and self.messages[1]["role"] == "user":
+                logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
+                break
+            else:
+                logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens,
+                                                                                       len(self.messages)))
+                break
+            if precise:
+                cur_tokens = self.calc_tokens()
+            else:
+                cur_tokens = cur_tokens - max_tokens
+        return cur_tokens
+
+    def calc_tokens(self):
+        return num_tokens_from_messages(self.messages, self.model)
+
+
+def num_tokens_from_messages(messages, model):
+    tokens = 0
+    for msg in messages:
+        tokens += len(msg["content"])
+    return tokens
--- a/bot/moonshot/moonshot_bot.py
+++ b/bot/moonshot/moonshot_bot.py
@@ -0,0 +1,146 @@
+# encoding:utf-8
+
+import time
+
+import openai
+import openai.error
+from bot.bot import Bot
+from bot.session_manager import SessionManager
+from bridge.context import ContextType
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+from config import conf, load_config
+from .moonshot_session import MoonshotSession
+import requests
+
+
+# ZhipuAI对话模型API
+class MoonshotBot(Bot):
+    def __init__(self):
+        super().__init__()
+        self.sessions = SessionManager(MoonshotSession, model=conf().get("model") or "moonshot-v1-128k")
+        model = conf().get("model") or "moonshot-v1-128k"
+        if model == "moonshot":
+            model = "moonshot-v1-32k"
+        self.args = {
+            "model": model,  # 对话模型的名称
+            "temperature": conf().get("temperature", 0.3),  # 如果设置，值域须为 [0, 1] 我们推荐 0.3，以达到较合适的效果。
+            "top_p": conf().get("top_p", 1.0),  # 使用默认值
+        }
+        self.api_key = conf().get("moonshot_api_key")
+        self.base_url = conf().get("moonshot_base_url", "https://api.moonshot.cn/v1/chat/completions")
+
+    def reply(self, query, context=None):
+        # acquire reply content
+        if context.type == ContextType.TEXT:
+            logger.info("[MOONSHOT_AI] query={}".format(query))
+
+            session_id = context["session_id"]
+            reply = None
+            clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
+            if query in clear_memory_commands:
+                self.sessions.clear_session(session_id)
+                reply = Reply(ReplyType.INFO, "记忆已清除")
+            elif query == "#清除所有":
+                self.sessions.clear_all_session()
+                reply = Reply(ReplyType.INFO, "所有人记忆已清除")
+            elif query == "#更新配置":
+                load_config()
+                reply = Reply(ReplyType.INFO, "配置已更新")
+            if reply:
+                return reply
+            session = self.sessions.session_query(query, session_id)
+            logger.debug("[MOONSHOT_AI] session query={}".format(session.messages))
+
+            model = context.get("moonshot_model")
+            new_args = self.args.copy()
+            if model:
+                new_args["model"] = model
+            # if context.get('stream'):
+            #     # reply in stream
+            #     return self.reply_text_stream(query, new_query, session_id)
+
+            reply_content = self.reply_text(session, args=new_args)
+            logger.debug(
+                "[MOONSHOT_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
+                    session.messages,
+                    session_id,
+                    reply_content["content"],
+                    reply_content["completion_tokens"],
+                )
+            )
+            if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+            elif reply_content["completion_tokens"] > 0:
+                self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
+                reply = Reply(ReplyType.TEXT, reply_content["content"])
+            else:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+                logger.debug("[MOONSHOT_AI] reply {} used 0 tokens.".format(reply_content))
+            return reply
+        else:
+            reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
+            return reply
+
+    def reply_text(self, session: MoonshotSession, args=None, retry_count=0) -> dict:
+        """
+        call openai's ChatCompletion to get the answer
+        :param session: a conversation session
+        :param session_id: session id
+        :param retry_count: retry count
+        :return: {}
+        """
+        try:
+            headers = {
+                "Content-Type": "application/json",
+                "Authorization": "Bearer " + self.api_key
+            }
+            body = args
+            body["messages"] = session.messages
+            # logger.debug("[MOONSHOT_AI] response={}".format(response))
+            # logger.info("[MOONSHOT_AI] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
+            res = requests.post(
+                self.base_url,
+                headers=headers,
+                json=body
+            )
+            if res.status_code == 200:
+                response = res.json()
+                return {
+                    "total_tokens": response["usage"]["total_tokens"],
+                    "completion_tokens": response["usage"]["completion_tokens"],
+                    "content": response["choices"][0]["message"]["content"]
+                }
+            else:
+                response = res.json()
+                error = response.get("error")
+                logger.error(f"[MOONSHOT_AI] chat failed, status_code={res.status_code}, "
+                             f"msg={error.get('message')}, type={error.get('type')}")
+
+                result = {"completion_tokens": 0, "content": "提问太快啦，请休息一下再问我吧"}
+                need_retry = False
+                if res.status_code >= 500:
+                    # server error, need retry
+                    logger.warn(f"[MOONSHOT_AI] do retry, times={retry_count}")
+                    need_retry = retry_count < 2
+                elif res.status_code == 401:
+                    result["content"] = "授权失败，请检查API Key是否正确"
+                elif res.status_code == 429:
+                    result["content"] = "请求过于频繁，请稍后再试"
+                    need_retry = retry_count < 2
+                else:
+                    need_retry = False
+
+                if need_retry:
+                    time.sleep(3)
+                    return self.reply_text(session, args, retry_count + 1)
+                else:
+                    return result
+        except Exception as e:
+            logger.exception(e)
+            need_retry = retry_count < 2
+            result = {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+            if need_retry:
+                return self.reply_text(session, args, retry_count + 1)
+            else:
+                return result
--- a/bot/moonshot/moonshot_session.py
+++ b/bot/moonshot/moonshot_session.py
@@ -0,0 +1,51 @@
+from bot.session_manager import Session
+from common.log import logger
+
+
+class MoonshotSession(Session):
+    def __init__(self, session_id, system_prompt=None, model="moonshot-v1-128k"):
+        super().__init__(session_id, system_prompt)
+        self.model = model
+        self.reset()
+
+    def discard_exceeding(self, max_tokens, cur_tokens=None):
+        precise = True
+        try:
+            cur_tokens = self.calc_tokens()
+        except Exception as e:
+            precise = False
+            if cur_tokens is None:
+                raise e
+            logger.debug("Exception when counting tokens precisely for query: {}".format(e))
+        while cur_tokens > max_tokens:
+            if len(self.messages) > 2:
+                self.messages.pop(1)
+            elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant":
+                self.messages.pop(1)
+                if precise:
+                    cur_tokens = self.calc_tokens()
+                else:
+                    cur_tokens = cur_tokens - max_tokens
+                break
+            elif len(self.messages) == 2 and self.messages[1]["role"] == "user":
+                logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
+                break
+            else:
+                logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens,
+                                                                                       len(self.messages)))
+                break
+            if precise:
+                cur_tokens = self.calc_tokens()
+            else:
+                cur_tokens = cur_tokens - max_tokens
+        return cur_tokens
+
+    def calc_tokens(self):
+        return num_tokens_from_messages(self.messages, self.model)
+
+
+def num_tokens_from_messages(messages, model):
+    tokens = 0
+    for msg in messages:
+        tokens += len(msg["content"])
+    return tokens
--- a/bot/xunfei/xunfei_spark_bot.py
+++ b/bot/xunfei/xunfei_spark_bot.py
@@ -3,7 +3,7 @@
 import requests, json
 from bot.bot import Bot
 from bot.session_manager import SessionManager
-from bot.baidu.baidu_wenxin_session import BaiduWenxinSession
+from bot.chatgpt.chat_gpt_session import ChatGPTSession
 from bridge.context import ContextType, Context
 from bridge.reply import Reply, ReplyType
 from common.log import logger
@@ -41,18 +41,19 @@ class XunFeiBot(Bot):
        self.api_key = conf().get("xunfei_api_key")
        self.api_secret = conf().get("xunfei_api_secret")
        # 默认使用v2.0版本: "generalv2"
-        # v1.5版本为 "general"
-        # v3.0版本为: "generalv3"
-        self.domain = "generalv3"
-        # 默认使用v2.0版本: "ws://spark-api.xf-yun.com/v2.1/chat"
-        # v1.5版本为: "ws://spark-api.xf-yun.com/v1.1/chat"
-        # v3.0版本为: "ws://spark-api.xf-yun.com/v3.1/chat"
-        # v3.5版本为: "wss://spark-api.xf-yun.com/v3.5/chat"
-        self.spark_url = "wss://spark-api.xf-yun.com/v3.5/chat"
+        # Spark Lite请求地址(spark_url): wss://spark-api.xf-yun.com/v1.1/chat, 对应的domain参数为: "lite"
+        # Spark V2.0请求地址(spark_url): wss://spark-api.xf-yun.com/v2.1/chat, 对应的domain参数为: "generalv2"
+        # Spark Pro 请求地址(spark_url): wss://spark-api.xf-yun.com/v3.1/chat, 对应的domain参数为: "generalv3"
+        # Spark Pro-128K请求地址(spark_url):  wss://spark-api.xf-yun.com/chat/pro-128k, 对应的domain参数为: "pro-128k"
+        # Spark Max 请求地址(spark_url): wss://spark-api.xf-yun.com/v3.5/chat, 对应的domain参数为: "generalv3.5"
+        # Spark4.0 Ultra 请求地址(spark_url): wss://spark-api.xf-yun.com/v4.0/chat, 对应的domain参数为: "4.0Ultra"
+        # 后续模型更新，对应的参数可以参考官网文档获取：https://www.xfyun.cn/doc/spark/Web.html
+        self.domain = conf().get("xunfei_domain", "generalv3.5")
+        self.spark_url = conf().get("xunfei_spark_url", "wss://spark-api.xf-yun.com/v3.5/chat")
        self.host = urlparse(self.spark_url).netloc
        self.path = urlparse(self.spark_url).path
        # 和wenxin使用相同的session机制
-        self.sessions = SessionManager(BaiduWenxinSession, model=const.XUNFEI)
+        self.sessions = SessionManager(ChatGPTSession, model=const.XUNFEI)

    def reply(self, query, context: Context = None) -> Reply:
        if context.type == ContextType.TEXT:
--- a/bot/zhipuai/zhipu_ai_session.py
+++ b/bot/zhipuai/zhipu_ai_session.py
@@ -7,6 +7,8 @@ class ZhipuAISession(Session):
        super().__init__(session_id, system_prompt)
        self.model = model
        self.reset()
+        if not system_prompt:
+            logger.warn("[ZhiPu] `character_desc` can not be empty")

    def discard_exceeding(self, max_tokens, cur_tokens=None):
        precise = True
--- a/bridge/bridge.py
+++ b/bridge/bridge.py
@@ -19,35 +19,52 @@ class Bridge(object):
            "translate": conf().get("translate", "baidu"),
        }
        # 这边取配置的模型
-        model_type = conf().get("model") or const.GPT35
-        if model_type in ["text-davinci-003"]:
-            self.btype["chat"] = const.OPEN_AI
-        if conf().get("use_azure_chatgpt", False):
-            self.btype["chat"] = const.CHATGPTONAZURE
-        if model_type in ["wenxin", "wenxin-4"]:
-            self.btype["chat"] = const.BAIDU
-        if model_type in ["xunfei"]:
-            self.btype["chat"] = const.XUNFEI
-        if model_type in [const.QWEN]:
-            self.btype["chat"] = const.QWEN
-        if model_type in [const.GEMINI]:
-            self.btype["chat"] = const.GEMINI
-        if model_type in [const.ZHIPU_AI]:
-            self.btype["chat"] = const.ZHIPU_AI
-        if model_type and model_type.startswith("claude-3"):
-            self.btype["chat"] = const.CLAUDEAPI
+        bot_type = conf().get("bot_type")
+        if bot_type:
+            self.btype["chat"] = bot_type
+        else:
+            model_type = conf().get("model") or const.GPT35
+            if model_type in ["text-davinci-003"]:
+                self.btype["chat"] = const.OPEN_AI
+            if conf().get("use_azure_chatgpt", False):
+                self.btype["chat"] = const.CHATGPTONAZURE
+            if model_type in ["wenxin", "wenxin-4"]:
+                self.btype["chat"] = const.BAIDU
+            if model_type in ["xunfei"]:
+                self.btype["chat"] = const.XUNFEI
+            if model_type in [const.QWEN]:
+                self.btype["chat"] = const.QWEN
+            if model_type in [const.QWEN_TURBO, const.QWEN_PLUS, const.QWEN_MAX]:
+                self.btype["chat"] = const.QWEN_DASHSCOPE
+            if model_type and model_type.startswith("gemini"):
+                self.btype["chat"] = const.GEMINI
+            if model_type and model_type.startswith("glm"):
+                self.btype["chat"] = const.ZHIPU_AI
+            if model_type and model_type.startswith("claude"):
+                self.btype["chat"] = const.CLAUDEAPI

-        if conf().get("use_linkai") and conf().get("linkai_api_key"):
-            self.btype["chat"] = const.LINKAI
-            if not conf().get("voice_to_text") or conf().get("voice_to_text") in ["openai"]:
-                self.btype["voice_to_text"] = const.LINKAI
-            if not conf().get("text_to_voice") or conf().get("text_to_voice") in ["openai", const.TTS_1, const.TTS_1_HD]:
-                self.btype["text_to_voice"] = const.LINKAI
-        if model_type in ["claude"]:
-            self.btype["chat"] = const.CLAUDEAI
+            if model_type in ["claude"]:
+                self.btype["chat"] = const.CLAUDEAI
+
+            if model_type in [const.MOONSHOT, "moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k"]:
+                self.btype["chat"] = const.MOONSHOT
+
+            if model_type in [const.MODELSCOPE]:
+                self.btype["chat"] = const.MODELSCOPE
+            
+            if model_type in ["abab6.5-chat"]:
+                self.btype["chat"] = const.MiniMax
+
+            if conf().get("use_linkai") and conf().get("linkai_api_key"):
+                self.btype["chat"] = const.LINKAI
+                if not conf().get("voice_to_text") or conf().get("voice_to_text") in ["openai"]:
+                    self.btype["voice_to_text"] = const.LINKAI
+                if not conf().get("text_to_voice") or conf().get("text_to_voice") in ["openai", const.TTS_1, const.TTS_1_HD]:
+                    self.btype["text_to_voice"] = const.LINKAI

        self.bots = {}
        self.chat_bots = {}
+
    # 模型对应的接口
    def get_bot(self, typename):
        if self.bots.get(typename) is None:
--- a/channel/channel_factory.py
+++ b/channel/channel_factory.py
@@ -18,9 +18,15 @@ def create_channel(channel_type) -> Channel:
    elif channel_type == "wxy":
        from channel.wechat.wechaty_channel import WechatyChannel
        ch = WechatyChannel()
+    elif channel_type == "wcf":
+        from channel.wechat.wcf_channel import WechatfChannel
+        ch = WechatfChannel()
    elif channel_type == "terminal":
        from channel.terminal.terminal_channel import TerminalChannel
        ch = TerminalChannel()
+    elif channel_type == 'web':
+        from channel.web.web_channel import WebChannel
+        ch = WebChannel()
    elif channel_type == "wechatmp":
        from channel.wechatmp.wechatmp_channel import WechatMPChannel
        ch = WechatMPChannel(passive_reply=True)
--- a/channel/chat_channel.py
+++ b/channel/chat_channel.py
@@ -4,7 +4,6 @@ import threading
 import time
 from asyncio import CancelledError
 from concurrent.futures import Future, ThreadPoolExecutor
-from concurrent import futures

 from bridge.context import *
 from bridge.reply import *
@@ -75,6 +74,7 @@ class ChatChannel(Channel):
                    ):
                        session_id = group_id
                else:
+                    logger.debug(f"No need reply, groupName not in whitelist, group_name={group_name}")
                    return None
                context["session_id"] = session_id
                context["receiver"] = group_id
@@ -86,14 +86,14 @@ class ChatChannel(Channel):
            if e_context.is_pass() or context is None:
                return context
            if cmsg.from_user_id == self.user_id and not config.get("trigger_by_self", True):
-                logger.debug("[WX]self message skipped")
+                logger.debug("[chat_channel]self message skipped")
                return None

        # 消息内容匹配过程，并处理content
        if ctype == ContextType.TEXT:
            if first_in and "」\n- - - - - - -" in content:  # 初次匹配 过滤引用消息
                logger.debug(content)
-                logger.debug("[WX]reference query skipped")
+                logger.debug("[chat_channel]reference query skipped")
                return None

            nick_name_black_list = conf().get("nick_name_black_list", [])
@@ -111,12 +111,13 @@ class ChatChannel(Channel):
                        nick_name = context["msg"].actual_user_nickname
                        if nick_name and nick_name in nick_name_black_list:
                            # 黑名单过滤
-                            logger.warning(f"[WX] Nickname {nick_name} in In BlackList, ignore")
+                            logger.warning(f"[chat_channel] Nickname {nick_name} in In BlackList, ignore")
                            return None

-                        logger.info("[WX]receive group at")
+                        logger.info("[chat_channel]receive group at")
                        if not conf().get("group_at_off", False):
                            flag = True
+                        self.name = self.name if self.name is not None else ""  # 部分渠道self.name可能没有赋值
                        pattern = f"@{re.escape(self.name)}(\u2005|\u0020)"
                        subtract_res = re.sub(pattern, r"", content)
                        if isinstance(context["msg"].at_list, list):
@@ -130,13 +131,13 @@ class ChatChannel(Channel):
                        content = subtract_res
                if not flag:
                    if context["origin_ctype"] == ContextType.VOICE:
-                        logger.info("[WX]receive group voice, but checkprefix didn't match")
+                        logger.info("[chat_channel]receive group voice, but checkprefix didn't match")
                    return None
            else:  # 单聊
                nick_name = context["msg"].from_user_nickname
                if nick_name and nick_name in nick_name_black_list:
                    # 黑名单过滤
-                    logger.warning(f"[WX] Nickname '{nick_name}' in In BlackList, ignore")
+                    logger.warning(f"[chat_channel] Nickname '{nick_name}' in In BlackList, ignore")
                    return None

                match_prefix = check_prefix(content, conf().get("single_chat_prefix", [""]))
@@ -145,9 +146,10 @@ class ChatChannel(Channel):
                elif context["origin_ctype"] == ContextType.VOICE:  # 如果源消息是私聊的语音消息，允许不匹配前缀，放宽条件
                    pass
                else:
+                    logger.info("[chat_channel]receive single chat msg, but checkprefix didn't match")
                    return None
            content = content.strip()
-            img_match_prefix = check_prefix(content, conf().get("image_create_prefix"))
+            img_match_prefix = check_prefix(content, conf().get("image_create_prefix",[""]))
            if img_match_prefix:
                content = content.replace(img_match_prefix, "", 1)
                context.type = ContextType.IMAGE_CREATE
@@ -159,17 +161,16 @@ class ChatChannel(Channel):
        elif context.type == ContextType.VOICE:
            if "desire_rtype" not in context and conf().get("voice_reply_voice") and ReplyType.VOICE not in self.NOT_SUPPORT_REPLYTYPE:
                context["desire_rtype"] = ReplyType.VOICE
-
        return context

    def _handle(self, context: Context):
        if context is None or not context.content:
            return
-        logger.debug("[WX] ready to handle context: {}".format(context))
+        logger.debug("[chat_channel] ready to handle context: {}".format(context))
        # reply的构建步骤
        reply = self._generate_reply(context)

-        logger.debug("[WX] ready to decorate reply: {}".format(reply))
+        logger.debug("[chat_channel] ready to decorate reply: {}".format(reply))

        # reply的包装步骤
        if reply and reply.content:
@@ -187,7 +188,7 @@ class ChatChannel(Channel):
        )
        reply = e_context["reply"]
        if not e_context.is_pass():
-            logger.debug("[WX] ready to handle context: type={}, content={}".format(context.type, context.content))
+            logger.debug("[chat_channel] ready to handle context: type={}, content={}".format(context.type, context.content))
            if context.type == ContextType.TEXT or context.type == ContextType.IMAGE_CREATE:  # 文字和图片消息
                context["channel"] = e_context["channel"]
                reply = super().build_reply_content(context.content, context)
@@ -199,7 +200,7 @@ class ChatChannel(Channel):
                try:
                    any_to_wav(file_path, wav_path)
                except Exception as e:  # 转换失败，直接使用mp3，对于某些api，mp3也可以识别
-                    logger.warning("[WX]any to wav error, use raw path. " + str(e))
+                    logger.warning("[chat_channel]any to wav error, use raw path. " + str(e))
                    wav_path = file_path
                # 语音识别
                reply = super().build_voice_to_text(wav_path)
@@ -210,7 +211,7 @@ class ChatChannel(Channel):
                        os.remove(wav_path)
                except Exception as e:
                    pass
-                    # logger.warning("[WX]delete temp file error: " + str(e))
+                    # logger.warning("[chat_channel]delete temp file error: " + str(e))

                if reply.type == ReplyType.TEXT:
                    new_context = self._compose_context(ContextType.TEXT, reply.content, **context.kwargs)
@@ -228,7 +229,7 @@ class ChatChannel(Channel):
            elif context.type == ContextType.FUNCTION or context.type == ContextType.FILE:  # 文件消息及函数调用等，当前无默认逻辑
                pass
            else:
-                logger.warning("[WX] unknown context type: {}".format(context.type))
+                logger.warning("[chat_channel] unknown context type: {}".format(context.type))
                return
        return reply

@@ -244,7 +245,7 @@ class ChatChannel(Channel):
            desire_rtype = context.get("desire_rtype")
            if not e_context.is_pass() and reply and reply.type:
                if reply.type in self.NOT_SUPPORT_REPLYTYPE:
-                    logger.error("[WX]reply type not support: " + str(reply.type))
+                    logger.error("[chat_channel]reply type not support: " + str(reply.type))
                    reply.type = ReplyType.ERROR
                    reply.content = "不支持发送的消息类型: " + str(reply.type)

@@ -265,10 +266,10 @@ class ChatChannel(Channel):
                elif reply.type == ReplyType.IMAGE_URL or reply.type == ReplyType.VOICE or reply.type == ReplyType.IMAGE or reply.type == ReplyType.FILE or reply.type == ReplyType.VIDEO or reply.type == ReplyType.VIDEO_URL:
                    pass
                else:
-                    logger.error("[WX] unknown reply type: {}".format(reply.type))
+                    logger.error("[chat_channel] unknown reply type: {}".format(reply.type))
                    return
            if desire_rtype and desire_rtype != reply.type and reply.type not in [ReplyType.ERROR, ReplyType.INFO]:
-                logger.warning("[WX] desire_rtype: {}, but reply type: {}".format(context.get("desire_rtype"), reply.type))
+                logger.warning("[chat_channel] desire_rtype: {}, but reply type: {}".format(context.get("desire_rtype"), reply.type))
            return reply

    def _send_reply(self, context: Context, reply: Reply):
@@ -281,14 +282,14 @@ class ChatChannel(Channel):
            )
            reply = e_context["reply"]
            if not e_context.is_pass() and reply and reply.type:
-                logger.debug("[WX] ready to send reply: {}, context: {}".format(reply, context))
+                logger.debug("[chat_channel] ready to send reply: {}, context: {}".format(reply, context))
                self._send(reply, context)

    def _send(self, reply: Reply, context: Context, retry_cnt=0):
        try:
            self.send(reply, context)
        except Exception as e:
-            logger.error("[WX] sendMsg error: {}".format(str(e)))
+            logger.error("[chat_channel] sendMsg error: {}".format(str(e)))
            if isinstance(e, NotImplementedError):
                return
            logger.exception(e)
@@ -337,24 +338,27 @@ class ChatChannel(Channel):
        while True:
            with self.lock:
                session_ids = list(self.sessions.keys())
-                for session_id in session_ids:
+            for session_id in session_ids:
+                with self.lock:
                    context_queue, semaphore = self.sessions[session_id]
-                    if semaphore.acquire(blocking=False):  # 等线程处理完毕才能删除
-                        if not context_queue.empty():
-                            context = context_queue.get()
-                            logger.debug("[WX] consume context: {}".format(context))
-                            future: Future = handler_pool.submit(self._handle, context)
-                            future.add_done_callback(self._thread_pool_callback(session_id, context=context))
+                if semaphore.acquire(blocking=False):  # 等线程处理完毕才能删除
+                    if not context_queue.empty():
+                        context = context_queue.get()
+                        logger.debug("[chat_channel] consume context: {}".format(context))
+                        future: Future = handler_pool.submit(self._handle, context)
+                        future.add_done_callback(self._thread_pool_callback(session_id, context=context))
+                        with self.lock:
                            if session_id not in self.futures:
                                self.futures[session_id] = []
                            self.futures[session_id].append(future)
-                        elif semaphore._initial_value == semaphore._value + 1:  # 除了当前，没有任务再申请到信号量，说明所有任务都处理完毕
+                    elif semaphore._initial_value == semaphore._value + 1:  # 除了当前，没有任务再申请到信号量，说明所有任务都处理完毕
+                        with self.lock:
                            self.futures[session_id] = [t for t in self.futures[session_id] if not t.done()]
                            assert len(self.futures[session_id]) == 0, "thread pool error"
                            del self.sessions[session_id]
-                        else:
-                            semaphore.release()
-            time.sleep(0.1)
+                    else:
+                        semaphore.release()
+            time.sleep(0.2)

    # 取消session_id对应的所有任务，只能取消排队的消息和已提交线程池但未执行的任务
    def cancel_session(self, session_id):
--- a/channel/dingtalk/dingtalk_channel.py
+++ b/channel/dingtalk/dingtalk_channel.py
@@ -4,20 +4,81 @@
@author huiwen
@Date 2023/11/28
 """
-
+import copy
+import json
 # -*- coding=utf-8 -*-
+import logging
+import time
+
+import dingtalk_stream
+from dingtalk_stream import AckMessage
+from dingtalk_stream.card_replier import AICardReplier
+from dingtalk_stream.card_replier import AICardStatus
+from dingtalk_stream.card_replier import CardReplier
+
+from bridge.context import Context, ContextType
+from bridge.reply import Reply, ReplyType
+from channel.chat_channel import ChatChannel
 from channel.dingtalk.dingtalk_message import DingTalkMessage
-from bridge.context import Context
-from bridge.reply import Reply
+from common.expired_dict import ExpiredDict
 from common.log import logger
 from common.singleton import singleton
+from common.time_check import time_checker
 from config import conf
-from common.expired_dict import ExpiredDict
-from bridge.context import ContextType
-from channel.chat_channel import ChatChannel
-import logging
-from dingtalk_stream import AckMessage
-import dingtalk_stream
+
+
+class CustomAICardReplier(CardReplier):
+    def __init__(self, dingtalk_client, incoming_message):
+        super(AICardReplier, self).__init__(dingtalk_client, incoming_message)
+
+    def start(
+            self,
+            card_template_id: str,
+            card_data: dict,
+            recipients: list = None,
+            support_forward: bool = True,
+    ) -> str:
+        """
+        AI卡片的创建接口
+        :param support_forward:
+        :param recipients:
+        :param card_template_id:
+        :param card_data:
+        :return:
+        """
+        card_data_with_status = copy.deepcopy(card_data)
+        card_data_with_status["flowStatus"] = AICardStatus.PROCESSING
+        return self.create_and_send_card(
+            card_template_id,
+            card_data_with_status,
+            at_sender=True,
+            at_all=False,
+            recipients=recipients,
+            support_forward=support_forward,
+        )
+
+
+# 对 AICardReplier 进行猴子补丁
+AICardReplier.start = CustomAICardReplier.start
+
+
+def _check(func):
+    def wrapper(self, cmsg: DingTalkMessage):
+        msgId = cmsg.msg_id
+        if msgId in self.receivedMsgs:
+            logger.info("DingTalk message {} already received, ignore".format(msgId))
+            return
+        self.receivedMsgs[msgId] = True
+        create_time = cmsg.create_time  # 消息时间戳
+        if conf().get("hot_reload") == True and int(create_time) < int(time.time()) - 60:  # 跳过1分钟前的历史消息
+            logger.debug("[DingTalk] History message {} skipped".format(msgId))
+            return
+        if cmsg.my_msg and not cmsg.is_group:
+            logger.debug("[DingTalk] My message {} skipped".format(msgId))
+            return
+        return func(self, cmsg)
+
+    return wrapper


@singleton
@@ -39,11 +100,13 @@ class DingTalkChanel(ChatChannel, dingtalk_stream.ChatbotHandler):
        super(dingtalk_stream.ChatbotHandler, self).__init__()
        self.logger = self.setup_logger()
        # 历史消息id暂存，用于幂等控制
-        self.receivedMsgs = ExpiredDict(60 * 60 * 7.1)
-        logger.info("[dingtalk] client_id={}, client_secret={} ".format(
+        self.receivedMsgs = ExpiredDict(conf().get("expires_in_seconds", 3600))
+        logger.info("[DingTalk] client_id={}, client_secret={} ".format(
            self.dingtalk_client_id, self.dingtalk_client_secret))
        # 无需群校验和前缀
        conf()["group_name_white_list"] = ["ALL_GROUP"]
+        # 单聊无需前缀
+        conf()["single_chat_prefix"] = [""]

    def startup(self):
        credential = dingtalk_stream.Credential(self.dingtalk_client_id, self.dingtalk_client_secret)
@@ -51,50 +114,112 @@ class DingTalkChanel(ChatChannel, dingtalk_stream.ChatbotHandler):
        client.register_callback_handler(dingtalk_stream.chatbot.ChatbotMessage.TOPIC, self)
        client.start_forever()

+    async def process(self, callback: dingtalk_stream.CallbackMessage):
+        try:
+            incoming_message = dingtalk_stream.ChatbotMessage.from_dict(callback.data)
+            image_download_handler = self  # 传入方法所在的类实例
+            dingtalk_msg = DingTalkMessage(incoming_message, image_download_handler)
+
+            if dingtalk_msg.is_group:
+                self.handle_group(dingtalk_msg)
+            else:
+                self.handle_single(dingtalk_msg)
+            return AckMessage.STATUS_OK, 'OK'
+        except Exception as e:
+            logger.error(f"dingtalk process error={e}")
+            return AckMessage.STATUS_SYSTEM_EXCEPTION, 'ERROR'
+
+    @time_checker
+    @_check
    def handle_single(self, cmsg: DingTalkMessage):
        # 处理单聊消息
        if cmsg.ctype == ContextType.VOICE:
-            logger.debug("[dingtalk]receive voice msg: {}".format(cmsg.content))
+            logger.debug("[DingTalk]receive voice msg: {}".format(cmsg.content))
        elif cmsg.ctype == ContextType.IMAGE:
-            logger.debug("[dingtalk]receive image msg: {}".format(cmsg.content))
+            logger.debug("[DingTalk]receive image msg: {}".format(cmsg.content))
+        elif cmsg.ctype == ContextType.IMAGE_CREATE:
+            logger.debug("[DingTalk]receive image create msg: {}".format(cmsg.content))
        elif cmsg.ctype == ContextType.PATPAT:
-            logger.debug("[dingtalk]receive patpat msg: {}".format(cmsg.content))
+            logger.debug("[DingTalk]receive patpat msg: {}".format(cmsg.content))
        elif cmsg.ctype == ContextType.TEXT:
-            expression = cmsg.my_msg
-        cmsg.content = conf()["single_chat_prefix"][0] + cmsg.content
+            logger.debug("[DingTalk]receive text msg: {}".format(cmsg.content))
+        else:
+            logger.debug("[DingTalk]receive other msg: {}".format(cmsg.content))
        context = self._compose_context(cmsg.ctype, cmsg.content, isgroup=False, msg=cmsg)
        if context:
            self.produce(context)

+
+    @time_checker
+    @_check
    def handle_group(self, cmsg: DingTalkMessage):
        # 处理群聊消息
        if cmsg.ctype == ContextType.VOICE:
-            logger.debug("[dingtalk]receive voice msg: {}".format(cmsg.content))
+            logger.debug("[DingTalk]receive voice msg: {}".format(cmsg.content))
        elif cmsg.ctype == ContextType.IMAGE:
-            logger.debug("[dingtalk]receive image msg: {}".format(cmsg.content))
+            logger.debug("[DingTalk]receive image msg: {}".format(cmsg.content))
+        elif cmsg.ctype == ContextType.IMAGE_CREATE:
+            logger.debug("[DingTalk]receive image create msg: {}".format(cmsg.content))
        elif cmsg.ctype == ContextType.PATPAT:
-            logger.debug("[dingtalk]receive patpat msg: {}".format(cmsg.content))
+            logger.debug("[DingTalk]receive patpat msg: {}".format(cmsg.content))
        elif cmsg.ctype == ContextType.TEXT:
-            expression = cmsg.my_msg
-        cmsg.content = conf()["group_chat_prefix"][0] + cmsg.content
+            logger.debug("[DingTalk]receive text msg: {}".format(cmsg.content))
+        else:
+            logger.debug("[DingTalk]receive other msg: {}".format(cmsg.content))
        context = self._compose_context(cmsg.ctype, cmsg.content, isgroup=True, msg=cmsg)
        context['no_need_at'] = True
        if context:
            self.produce(context)

-    async def process(self, callback: dingtalk_stream.CallbackMessage):
-        try:
-            incoming_message = dingtalk_stream.ChatbotMessage.from_dict(callback.data)
-            dingtalk_msg = DingTalkMessage(incoming_message)
-            if incoming_message.conversation_type == '1':
-                self.handle_single(dingtalk_msg)
-            else:
-                self.handle_group(dingtalk_msg)
-            return AckMessage.STATUS_OK, 'OK'
-        except Exception as e:
-            logger.error(e)
-            return self.FAILED_MSG

    def send(self, reply: Reply, context: Context):
+        receiver = context["receiver"]
+        isgroup = context.kwargs['msg'].is_group
        incoming_message = context.kwargs['msg'].incoming_message
-        self.reply_text(reply.content, incoming_message)
+
+        if conf().get("dingtalk_card_enabled"):
+            logger.info("[Dingtalk] sendMsg={}, receiver={}".format(reply, receiver))
+            def reply_with_text():
+                self.reply_text(reply.content, incoming_message)
+            def reply_with_at_text():
+                self.reply_text("📢 您有一条新的消息，请查看。", incoming_message)
+            def reply_with_ai_markdown():
+                button_list, markdown_content = self.generate_button_markdown_content(context, reply)
+                self.reply_ai_markdown_button(incoming_message, markdown_content, button_list, "", "📌 内容由AI生成", "",[incoming_message.sender_staff_id])
+
+            if reply.type in [ReplyType.IMAGE_URL, ReplyType.IMAGE, ReplyType.TEXT]:
+                if isgroup:
+                    reply_with_ai_markdown()
+                    reply_with_at_text()
+                else:
+                    reply_with_ai_markdown()
+            else:
+                # 暂不支持其它类型消息回复
+                reply_with_text()
+        else:
+            self.reply_text(reply.content, incoming_message)
+
+
+    def generate_button_markdown_content(self, context, reply):
+        image_url = context.kwargs.get("image_url")
+        promptEn = context.kwargs.get("promptEn")
+        reply_text = reply.content
+        button_list = []
+        markdown_content = f"""
+{reply.content}
+                                """
+        if image_url is not None and promptEn is not None:
+            button_list = [
+                {"text": "查看原图", "url": image_url, "iosUrl": image_url, "color": "blue"}
+            ]
+            markdown_content = f"""
+{promptEn}
+
+!["图片"]({image_url})
+
+{reply_text}
+
+                                """
+        logger.debug(f"[Dingtalk] generate_button_markdown_content, button_list={button_list} , markdown_content={markdown_content}")
+
+        return button_list, markdown_content
--- a/channel/dingtalk/dingtalk_message.py
+++ b/channel/dingtalk/dingtalk_message.py
@@ -1,44 +1,84 @@
-from bridge.context import ContextType
-from channel.chat_message import ChatMessage
-import json
+import os
+
 import requests
-from common.log import logger
-from common.tmp_dir import TmpDir
-from common import utils
 from dingtalk_stream import ChatbotMessage

+from bridge.context import ContextType
+from channel.chat_message import ChatMessage
+# -*- coding=utf-8 -*-
+from common.log import logger
+from common.tmp_dir import TmpDir
+
+
 class DingTalkMessage(ChatMessage):
-    def __init__(self, event: ChatbotMessage):
+    def __init__(self, event: ChatbotMessage, image_download_handler):
        super().__init__(event)
-        
+        self.image_download_handler = image_download_handler
        self.msg_id = event.message_id
-        msg_type = event.message_type
-        self.incoming_message =event
+        self.message_type = event.message_type
+        self.incoming_message = event
        self.sender_staff_id = event.sender_staff_id
        self.other_user_id = event.conversation_id
        self.create_time = event.create_at
-        if event.conversation_type=="1":
+        self.image_content = event.image_content
+        self.rich_text_content = event.rich_text_content
+        if event.conversation_type == "1":
            self.is_group = False
        else:
            self.is_group = True
-        

-        if msg_type == "text":
+        if self.message_type == "text":
            self.ctype = ContextType.TEXT
-            
+
            self.content = event.text.content.strip()
-        elif msg_type == "audio":
-            
+        elif self.message_type == "audio":
            # 钉钉支持直接识别语音，所以此处将直接提取文字，当文字处理
            self.content = event.extensions['content']['recognition'].strip()
            self.ctype = ContextType.TEXT
-        self.from_user_id = event.sender_id
+        elif (self.message_type == 'picture') or (self.message_type == 'richText'):
+            self.ctype = ContextType.IMAGE
+            # 钉钉图片类型或富文本类型消息处理
+            image_list = event.get_image_list()
+            if len(image_list) > 0:
+                download_code = image_list[0]
+                download_url = image_download_handler.get_image_download_url(download_code)
+                self.content = download_image_file(download_url, TmpDir().path())
+            else:
+                logger.debug(f"[Dingtalk] messageType :{self.message_type} , imageList isEmpty")
+
+        if self.is_group:
+            self.from_user_id = event.conversation_id
+            self.actual_user_id = event.sender_id
+            self.is_at = True
+        else:
+            self.from_user_id = event.sender_id
+            self.actual_user_id = event.sender_id
        self.to_user_id = event.chatbot_user_id
        self.other_user_nickname = event.conversation_title
-        
-        user_id = event.sender_id
-        nickname =event.sender_nick

-        

-      
+def download_image_file(image_url, temp_dir):
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
+    }
+    # 设置代理
+    # self.proxies
+    # , proxies=self.proxies
+    response = requests.get(image_url, headers=headers, stream=True, timeout=60 * 5)
+    if response.status_code == 200:
+
+        # 生成文件名
+        file_name = image_url.split("/")[-1].split("?")[0]
+
+        # 检查临时目录是否存在，如果不存在则创建
+        if not os.path.exists(temp_dir):
+            os.makedirs(temp_dir)
+
+        # 将文件保存到临时目录
+        file_path = os.path.join(temp_dir, file_name)
+        with open(file_path, 'wb') as file:
+            file.write(response.content)
+        return file_path
+    else:
+        logger.info(f"[Dingtalk] Failed to download image file, {response.content}")
+        return None
--- a/channel/feishu/feishu_channel.py
+++ b/channel/feishu/feishu_channel.py
@@ -40,7 +40,7 @@ class FeiShuChanel(ChatChannel):
            self.feishu_app_id, self.feishu_app_secret, self.feishu_token))
        # 无需群校验和前缀
        conf()["group_name_white_list"] = ["ALL_GROUP"]
-        conf()["single_chat_prefix"] = []
+        conf()["single_chat_prefix"] = [""]

    def startup(self):
        urls = (
--- a/channel/terminal/terminal_channel.py
+++ b/channel/terminal/terminal_channel.py
@@ -78,6 +78,7 @@ class TerminalChannel(ChatChannel):
                prompt = trigger_prefixs[0] + prompt  # 给没触发的消息加上触发前缀

            context = self._compose_context(ContextType.TEXT, prompt, msg=TerminalMessage(msg_id, prompt))
+            context["isgroup"] = False
            if context:
                self.produce(context)
            else:
--- a/channel/web/README.md
+++ b/channel/web/README.md
@@ -0,0 +1,10 @@
+# Web Channel
+
+提供了一个默认的AI对话页面，可展示文本、图片等消息交互，支持markdown语法渲染，兼容插件执行。
+
+# 使用说明
+
+ - 在 `config.json` 配置文件中的 `channel_type` 字段填入 `web`
+ - 程序运行后将监听9899端口，浏览器访问 http://localhost:9899/chat 即可使用
+ - 监听端口可以在配置文件 `web_port` 中自定义
+ - 对于Docker运行方式，如果需要外部访问，需要在 `docker-compose.yml` 中通过 ports配置将端口监听映射到宿主机
--- a/channel/web/chat.html
+++ b/channel/web/chat.html
--- a/channel/web/static/axios.min.js
+++ b/channel/web/static/axios.min.js
--- a/channel/web/static/favicon.ico
+++ b/channel/web/static/favicon.ico
--- a/channel/web/static/github.png
+++ b/channel/web/static/github.png
--- a/channel/web/static/logo.jpg
+++ b/channel/web/static/logo.jpg
--- a/channel/web/web_channel.py
+++ b/channel/web/web_channel.py
@@ -0,0 +1,291 @@
+import sys
+import time
+import web
+import json
+import uuid
+from queue import Queue, Empty
+from bridge.context import *
+from bridge.reply import Reply, ReplyType
+from channel.chat_channel import ChatChannel, check_prefix
+from channel.chat_message import ChatMessage
+from common.log import logger
+from common.singleton import singleton
+from config import conf
+import os
+import mimetypes  # 添加这行来处理MIME类型
+import threading
+import logging
+
+class WebMessage(ChatMessage):
+    def __init__(
+        self,
+        msg_id,
+        content,
+        ctype=ContextType.TEXT,
+        from_user_id="User",
+        to_user_id="Chatgpt",
+        other_user_id="Chatgpt",
+    ):
+        self.msg_id = msg_id
+        self.ctype = ctype
+        self.content = content
+        self.from_user_id = from_user_id
+        self.to_user_id = to_user_id
+        self.other_user_id = other_user_id
+
+
+@singleton
+class WebChannel(ChatChannel):
+    NOT_SUPPORT_REPLYTYPE = [ReplyType.VOICE]
+    _instance = None
+    
+    # def __new__(cls):
+    #     if cls._instance is None:
+    #         cls._instance = super(WebChannel, cls).__new__(cls)
+    #     return cls._instance
+
+    def __init__(self):
+        super().__init__()
+        self.msg_id_counter = 0  # 添加消息ID计数器
+        self.session_queues = {}  # 存储session_id到队列的映射
+        self.request_to_session = {}  # 存储request_id到session_id的映射
+
+    def _generate_msg_id(self):
+        """生成唯一的消息ID"""
+        self.msg_id_counter += 1
+        return str(int(time.time())) + str(self.msg_id_counter)
+
+    def _generate_request_id(self):
+        """生成唯一的请求ID"""
+        return str(uuid.uuid4())
+
+    def send(self, reply: Reply, context: Context):
+        try:
+            if reply.type in self.NOT_SUPPORT_REPLYTYPE:
+                logger.warning(f"Web channel doesn't support {reply.type} yet")
+                return
+
+            if reply.type == ReplyType.IMAGE_URL:
+                time.sleep(0.5)
+
+            # 获取请求ID和会话ID
+            request_id = context.get("request_id", None)
+            
+            if not request_id:
+                logger.error("No request_id found in context, cannot send message")
+                return
+                
+            # 通过request_id获取session_id
+            session_id = self.request_to_session.get(request_id)
+            if not session_id:
+                logger.error(f"No session_id found for request {request_id}")
+                return
+            
+            # 检查是否有会话队列
+            if session_id in self.session_queues:
+                # 创建响应数据，包含请求ID以区分不同请求的响应
+                response_data = {
+                    "type": str(reply.type),
+                    "content": reply.content,
+                    "timestamp": time.time(),
+                    "request_id": request_id
+                }
+                self.session_queues[session_id].put(response_data)
+                logger.debug(f"Response sent to queue for session {session_id}, request {request_id}")
+            else:
+                logger.warning(f"No response queue found for session {session_id}, response dropped")
+            
+        except Exception as e:
+            logger.error(f"Error in send method: {e}")
+
+    def post_message(self):
+        """
+        Handle incoming messages from users via POST request.
+        Returns a request_id for tracking this specific request.
+        """
+        try:
+            data = web.data()  # 获取原始POST数据
+            json_data = json.loads(data)
+            session_id = json_data.get('session_id', f'session_{int(time.time())}')
+            prompt = json_data.get('message', '')
+            
+            # 生成请求ID
+            request_id = self._generate_request_id()
+            
+            # 将请求ID与会话ID关联
+            self.request_to_session[request_id] = session_id
+            
+            # 确保会话队列存在
+            if session_id not in self.session_queues:
+                self.session_queues[session_id] = Queue()
+            
+            # 创建消息对象
+            msg = WebMessage(self._generate_msg_id(), prompt)
+            msg.from_user_id = session_id  # 使用会话ID作为用户ID
+            
+            # 创建上下文
+            context = self._compose_context(ContextType.TEXT, prompt, msg=msg)
+            
+            # 添加必要的字段
+            context["session_id"] = session_id
+            context["request_id"] = request_id
+            context["isgroup"] = False  # 添加 isgroup 字段
+            context["receiver"] = session_id  # 添加 receiver 字段
+            
+            # 异步处理消息 - 只传递上下文
+            threading.Thread(target=self.produce, args=(context,)).start()
+            
+            # 返回请求ID
+            return json.dumps({"status": "success", "request_id": request_id})
+            
+        except Exception as e:
+            logger.error(f"Error processing message: {e}")
+            return json.dumps({"status": "error", "message": str(e)})
+
+    def poll_response(self):
+        """
+        Poll for responses using the session_id.
+        """
+        try:
+            # 不记录轮询请求的日志
+            web.ctx.log_request = False
+            
+            data = web.data()
+            json_data = json.loads(data)
+            session_id = json_data.get('session_id')
+            
+            if not session_id or session_id not in self.session_queues:
+                return json.dumps({"status": "error", "message": "Invalid session ID"})
+            
+            # 尝试从队列获取响应，不等待
+            try:
+                # 使用peek而不是get，这样如果前端没有成功处理，下次还能获取到
+                response = self.session_queues[session_id].get(block=False)
+                
+                # 返回响应，包含请求ID以区分不同请求
+                return json.dumps({
+                    "status": "success", 
+                    "has_content": True,
+                    "content": response["content"],
+                    "request_id": response["request_id"],
+                    "timestamp": response["timestamp"]
+                })
+                
+            except Empty:
+                # 没有新响应
+                return json.dumps({"status": "success", "has_content": False})
+                
+        except Exception as e:
+            logger.error(f"Error polling response: {e}")
+            return json.dumps({"status": "error", "message": str(e)})
+
+    def chat_page(self):
+        """Serve the chat HTML page."""
+        file_path = os.path.join(os.path.dirname(__file__), 'chat.html')  # 使用绝对路径
+        with open(file_path, 'r', encoding='utf-8') as f:
+            return f.read()
+
+    def startup(self):
+        logger.info("""[WebChannel] 当前channel为web，可修改 config.json 配置文件中的 channel_type 字段进行切换。全部可用类型为：
+        1. web: 网页
+        2. terminal: 终端
+        3. wechatmp: 个人公众号
+        4. wechatmp_service: 企业公众号
+        5. wechatcom_app: 企微自建应用
+        6. dingtalk: 钉钉
+        7. feishu: 飞书""")
+        logger.info("Web对话网页已运行, 请使用浏览器访问 http://localhost:9899/chat")
+        
+        # 确保静态文件目录存在
+        static_dir = os.path.join(os.path.dirname(__file__), 'static')
+        if not os.path.exists(static_dir):
+            os.makedirs(static_dir)
+            logger.info(f"Created static directory: {static_dir}")
+        
+        urls = (
+            '/', 'RootHandler',  # 添加根路径处理器
+            '/message', 'MessageHandler',
+            '/poll', 'PollHandler',  # 添加轮询处理器
+            '/chat', 'ChatHandler',
+            '/assets/(.*)', 'AssetsHandler',  # 匹配 /assets/任何路径
+        )
+        port = conf().get("web_port", 9899)
+        app = web.application(urls, globals(), autoreload=False)
+        
+        # 禁用web.py的默认日志输出
+        import io
+        from contextlib import redirect_stdout
+        
+        # 配置web.py的日志级别为ERROR，只显示错误
+        logging.getLogger("web").setLevel(logging.ERROR)
+        
+        # 禁用web.httpserver的日志
+        logging.getLogger("web.httpserver").setLevel(logging.ERROR)
+        
+        # 临时重定向标准输出，捕获web.py的启动消息
+        with redirect_stdout(io.StringIO()):
+            web.httpserver.runsimple(app.wsgifunc(), ("0.0.0.0", port))
+
+
+class RootHandler:
+    def GET(self):
+        # 重定向到/chat
+        raise web.seeother('/chat')
+
+
+class MessageHandler:
+    def POST(self):
+        return WebChannel().post_message()
+
+
+class PollHandler:
+    def POST(self):
+        return WebChannel().poll_response()
+
+
+class ChatHandler:
+    def GET(self):
+        # 正常返回聊天页面
+        file_path = os.path.join(os.path.dirname(__file__), 'chat.html')
+        with open(file_path, 'r', encoding='utf-8') as f:
+            return f.read()
+
+
+class AssetsHandler:
+    def GET(self, file_path):  # 修改默认参数
+        try:
+            # 如果请求是/static/，需要处理
+            if file_path == '':
+                # 返回目录列表...
+                pass
+
+            # 获取当前文件的绝对路径
+            current_dir = os.path.dirname(os.path.abspath(__file__))
+            static_dir = os.path.join(current_dir, 'static')
+
+            full_path = os.path.normpath(os.path.join(static_dir, file_path))
+
+            # 安全检查：确保请求的文件在static目录内
+            if not os.path.abspath(full_path).startswith(os.path.abspath(static_dir)):
+                logger.error(f"Security check failed for path: {full_path}")
+                raise web.notfound()
+
+            if not os.path.exists(full_path) or not os.path.isfile(full_path):
+                logger.error(f"File not found: {full_path}")
+                raise web.notfound()
+
+            # 设置正确的Content-Type
+            content_type = mimetypes.guess_type(full_path)[0]
+            if content_type:
+                web.header('Content-Type', content_type)
+            else:
+                # 默认为二进制流
+                web.header('Content-Type', 'application/octet-stream')
+
+            # 读取并返回文件内容
+            with open(full_path, 'rb') as f:
+                return f.read()
+
+        except Exception as e:
+            logger.error(f"Error serving static file: {e}", exc_info=True)  # 添加更详细的错误信息
+            raise web.notfound()
--- a/channel/wechat/wcf_channel.py
+++ b/channel/wechat/wcf_channel.py
@@ -0,0 +1,179 @@
+# encoding:utf-8
+
+"""
+wechat channel
+"""
+
+import io
+import json
+import os
+import threading
+import time
+from queue import Empty
+from typing import Any
+
+from bridge.context import *
+from bridge.reply import *
+from channel.chat_channel import ChatChannel
+from channel.wechat.wcf_message import WechatfMessage
+from common.log import logger
+from common.singleton import singleton
+from common.utils import *
+from config import conf, get_appdata_dir
+from wcferry import Wcf, WxMsg
+
+
+@singleton
+class WechatfChannel(ChatChannel):
+    NOT_SUPPORT_REPLYTYPE = []
+
+    def __init__(self):
+        super().__init__()
+        self.NOT_SUPPORT_REPLYTYPE = []
+        # 使用字典存储最近消息，用于去重
+        self.received_msgs = {}
+        # 初始化wcferry客户端
+        self.wcf = Wcf()
+        self.wxid = None  # 登录后会被设置为当前登录用户的wxid
+
+    def startup(self):
+        """
+        启动通道
+        """
+        try:
+            # wcferry会自动唤起微信并登录
+            self.wxid = self.wcf.get_self_wxid()
+            self.name = self.wcf.get_user_info().get("name")
+            logger.info(f"微信登录成功，当前用户ID: {self.wxid}, 用户名：{self.name}")
+            self.contact_cache = ContactCache(self.wcf)
+            self.contact_cache.update()
+            # 启动消息接收
+            self.wcf.enable_receiving_msg()
+            # 创建消息处理线程
+            t = threading.Thread(target=self._process_messages, name="WeChatThread", daemon=True)
+            t.start()
+
+
+        except Exception as e:
+            logger.error(f"微信通道启动失败: {e}")
+            raise e
+
+    def _process_messages(self):
+        """
+        处理消息队列
+        """
+        while True:
+            try:
+                msg = self.wcf.get_msg()
+                if msg:
+                    self._handle_message(msg)
+            except Empty:
+                continue
+            except Exception as e:
+                logger.error(f"处理消息失败: {e}")
+                continue
+
+    def _handle_message(self, msg: WxMsg):
+        """
+        处理单条消息
+        """
+        try:
+            # 构造消息对象
+            cmsg = WechatfMessage(self, msg)
+            # 消息去重
+            if cmsg.msg_id in self.received_msgs:
+                return
+            self.received_msgs[cmsg.msg_id] = time.time()
+            # 清理过期消息ID
+            self._clean_expired_msgs()
+
+            logger.debug(f"收到消息: {msg}")
+            context = self._compose_context(cmsg.ctype, cmsg.content,
+                                            isgroup=cmsg.is_group,
+                                            msg=cmsg)
+            if context:
+                self.produce(context)
+        except Exception as e:
+            logger.error(f"处理消息失败: {e}")
+
+    def _clean_expired_msgs(self, expire_time: float = 60):
+        """
+        清理过期的消息ID
+        """
+        now = time.time()
+        for msg_id in list(self.received_msgs.keys()):
+            if now - self.received_msgs[msg_id] > expire_time:
+                del self.received_msgs[msg_id]
+
+    def send(self, reply: Reply, context: Context):
+        """
+        发送消息
+        """
+        receiver = context["receiver"]
+        if not receiver:
+            logger.error("receiver is empty")
+            return
+
+        try:
+            if reply.type == ReplyType.TEXT:
+                # 处理@信息
+                at_list = []
+                if context.get("isgroup"):
+                    if context["msg"].actual_user_id:
+                        at_list = [context["msg"].actual_user_id]
+                at_str = ",".join(at_list) if at_list else ""
+                self.wcf.send_text(reply.content, receiver, at_str)
+
+            elif reply.type == ReplyType.ERROR or reply.type == ReplyType.INFO:
+                self.wcf.send_text(reply.content, receiver)
+            else:
+                logger.error(f"暂不支持的消息类型: {reply.type}")
+
+        except Exception as e:
+            logger.error(f"发送消息失败: {e}")
+
+    def close(self):
+        """
+        关闭通道
+        """
+        try:
+            self.wcf.cleanup()
+        except Exception as e:
+            logger.error(f"关闭通道失败: {e}")
+
+
+class ContactCache:
+    def __init__(self, wcf):
+        """
+        wcf: 一个 wcfferry.client.Wcf 实例
+        """
+        self.wcf = wcf
+        self._contact_map = {}  # 形如 {wxid: {完整联系人信息}}
+
+    def update(self):
+        """
+        更新缓存：调用 get_contacts()，
+        再把 wcf.contacts 构建成 {wxid: {完整信息}} 的字典
+        """
+        self.wcf.get_contacts()
+        self._contact_map.clear()
+        for item in self.wcf.contacts:
+            wxid = item.get('wxid')
+            if wxid:  # 确保有 wxid 字段
+                self._contact_map[wxid] = item
+
+    def get_contact(self, wxid: str) -> dict:
+        """
+        返回该 wxid 对应的完整联系人 dict，
+        如果没找到就返回 None
+        """
+        return self._contact_map.get(wxid)
+
+    def get_name_by_wxid(self, wxid: str) -> str:
+        """
+        通过wxid，获取成员/群名称
+        """
+        contact = self.get_contact(wxid)
+        if contact:
+            return contact.get('name', '')
+        return ''
--- a/channel/wechat/wcf_message.py
+++ b/channel/wechat/wcf_message.py
@@ -0,0 +1,58 @@
+# encoding:utf-8
+
+"""
+wechat channel message
+"""
+
+from bridge.context import ContextType
+from channel.chat_message import ChatMessage
+from common.log import logger
+from wcferry import WxMsg
+
+
+class WechatfMessage(ChatMessage):
+    """
+    微信消息封装类
+    """
+
+    def __init__(self, channel, wcf_msg: WxMsg, is_group=False):
+        """
+        初始化消息对象
+        :param wcf_msg: wcferry消息对象
+        :param is_group: 是否是群消息
+        """
+        super().__init__(wcf_msg)
+        self.msg_id = wcf_msg.id
+        self.create_time = wcf_msg.ts  # 使用消息时间戳
+        self.is_group = is_group or wcf_msg._is_group
+        self.wxid = channel.wxid
+        self.name = channel.name
+
+        # 解析消息类型
+        if wcf_msg.is_text():
+            self.ctype = ContextType.TEXT
+            self.content = wcf_msg.content
+        else:
+            raise NotImplementedError(f"Unsupported message type: {wcf_msg.type}")
+
+        # 设置发送者和接收者信息
+        self.from_user_id = self.wxid if wcf_msg.sender == self.wxid else wcf_msg.sender
+        self.from_user_nickname = self.name if wcf_msg.sender == self.wxid else channel.contact_cache.get_name_by_wxid(wcf_msg.sender)
+        self.to_user_id = self.wxid
+        self.to_user_nickname = self.name
+        self.other_user_id = wcf_msg.sender
+        self.other_user_nickname = channel.contact_cache.get_name_by_wxid(wcf_msg.sender)
+
+        # 群消息特殊处理
+        if self.is_group:
+            self.other_user_id = wcf_msg.roomid
+            self.other_user_nickname = channel.contact_cache.get_name_by_wxid(wcf_msg.roomid)
+            self.actual_user_id = wcf_msg.sender
+            self.actual_user_nickname = channel.wcf.get_alias_in_chatroom(wcf_msg.sender, wcf_msg.roomid)
+            if not self.actual_user_nickname:  # 群聊获取不到企微号成员昵称，这里尝试从联系人缓存去获取
+                self.actual_user_nickname = channel.contact_cache.get_name_by_wxid(wcf_msg.sender)
+            self.room_id = wcf_msg.roomid
+            self.is_at = wcf_msg.is_at(self.wxid)  # 是否被@当前登录用户
+
+        # 判断是否是自己发送的消息
+        self.my_msg = wcf_msg.from_self()
--- a/channel/wechat/wechat_channel.py
+++ b/channel/wechat/wechat_channel.py
@@ -9,7 +9,6 @@ import json
 import os
 import threading
 import time
-
 import requests

 from bridge.context import *
@@ -21,6 +20,7 @@ from common.expired_dict import ExpiredDict
 from common.log import logger
 from common.singleton import singleton
 from common.time_check import time_checker
+from common.utils import convert_webp_to_png, remove_markdown_symbol
 from config import conf, get_appdata_dir
 from lib import itchat
 from lib.itchat.content import *
@@ -96,11 +96,14 @@ def qrCallback(uuid, status, qrcode):
        print(qr_api4)
        print(qr_api2)
        print(qr_api1)
-        _send_qr_code([qr_api1, qr_api2, qr_api3, qr_api4])
+        _send_qr_code([qr_api3, qr_api4, qr_api2, qr_api1])
        qr = qrcode.QRCode(border=1)
        qr.add_data(url)
        qr.make(fit=True)
-        qr.print_ascii(invert=True)
+        try:
+            qr.print_ascii(invert=True)
+        except UnicodeEncodeError:
+            print("ASCII QR code printing failed due to encoding issues.")


@singleton
@@ -109,30 +112,42 @@ class WechatChannel(ChatChannel):

    def __init__(self):
        super().__init__()
-        self.receivedMsgs = ExpiredDict(60 * 60)
+        self.receivedMsgs = ExpiredDict(conf().get("expires_in_seconds", 3600))
        self.auto_login_times = 0

    def startup(self):
        try:
-            itchat.instance.receivingRetryCount = 600  # 修改断线超时时间
-            # login by scan QRCode
-            hotReload = conf().get("hot_reload", False)
-            status_path = os.path.join(get_appdata_dir(), "itchat.pkl")
-            itchat.auto_login(
-                enableCmdQR=2,
-                hotReload=hotReload,
-                statusStorageDir=status_path,
-                qrCallback=qrCallback,
-                exitCallback=self.exitCallback,
-                loginCallback=self.loginCallback
-            )
-            self.user_id = itchat.instance.storageClass.userName
-            self.name = itchat.instance.storageClass.nickName
-            logger.info("Wechat login success, user_id: {}, nickname: {}".format(self.user_id, self.name))
-            # start message listener
-            itchat.run()
+            time.sleep(3)
+            logger.error("""[WechatChannel] 当前channel暂不可用，目前支持的channel有:
+                1. terminal: 终端
+                2. wechatmp: 个人公众号
+                3. wechatmp_service: 企业公众号
+                4. wechatcom_app: 企微自建应用
+                5. dingtalk: 钉钉
+                6. feishu: 飞书
+                7. web: 网页
+                8. wcf: wechat (需Windows环境，参考 https://github.com/zhayujie/chatgpt-on-wechat/pull/2562 )
+            可修改 config.json 配置文件的 channel_type 字段进行切换""")
+
+            # itchat.instance.receivingRetryCount = 600  # 修改断线超时时间
+            # # login by scan QRCode
+            # hotReload = conf().get("hot_reload", False)
+            # status_path = os.path.join(get_appdata_dir(), "itchat.pkl")
+            # itchat.auto_login(
+            #     enableCmdQR=2,
+            #     hotReload=hotReload,
+            #     statusStorageDir=status_path,
+            #     qrCallback=qrCallback,
+            #     exitCallback=self.exitCallback,
+            #     loginCallback=self.loginCallback
+            # )
+            # self.user_id = itchat.instance.storageClass.userName
+            # self.name = itchat.instance.storageClass.nickName
+            # logger.info("Wechat login success, user_id: {}, nickname: {}".format(self.user_id, self.name))
+            # # start message listener
+            # itchat.run()
        except Exception as e:
-            logger.error(e)
+            logger.exception(e)

    def exitCallback(self):
        try:
@@ -202,7 +217,7 @@ class WechatChannel(ChatChannel):
            logger.debug(f"[WX]receive attachment msg, file_name={cmsg.content}")
        else:
            logger.debug("[WX]receive group msg: {}".format(cmsg.content))
-        context = self._compose_context(cmsg.ctype, cmsg.content, isgroup=True, msg=cmsg)
+        context = self._compose_context(cmsg.ctype, cmsg.content, isgroup=True, msg=cmsg, no_need_at=conf().get("no_need_at", False))
        if context:
            self.produce(context)

@@ -210,9 +225,11 @@ class WechatChannel(ChatChannel):
    def send(self, reply: Reply, context: Context):
        receiver = context["receiver"]
        if reply.type == ReplyType.TEXT:
+            reply.content = remove_markdown_symbol(reply.content)
            itchat.send(reply.content, toUserName=receiver)
            logger.info("[WX] sendMsg={}, receiver={}".format(reply, receiver))
        elif reply.type == ReplyType.ERROR or reply.type == ReplyType.INFO:
+            reply.content = remove_markdown_symbol(reply.content)
            itchat.send(reply.content, toUserName=receiver)
            logger.info("[WX] sendMsg={}, receiver={}".format(reply, receiver))
        elif reply.type == ReplyType.VOICE:
@@ -229,10 +246,17 @@ class WechatChannel(ChatChannel):
                image_storage.write(block)
            logger.info(f"[WX] download image success, size={size}, img_url={img_url}")
            image_storage.seek(0)
+            if ".webp" in img_url:
+                try:
+                    image_storage = convert_webp_to_png(image_storage)
+                except Exception as e:
+                    logger.error(f"Failed to convert image: {e}")
+                    return
            itchat.send_image(image_storage, toUserName=receiver)
            logger.info("[WX] sendImage url={}, receiver={}".format(img_url, receiver))
        elif reply.type == ReplyType.IMAGE:  # 从文件读取图片
            image_storage = reply.content
+            image_storage.seek(0)
            itchat.send_image(image_storage, toUserName=receiver)
            logger.info("[WX] sendImage, receiver={}".format(receiver))
        elif reply.type == ReplyType.FILE:  # 新增文件回复类型
@@ -265,6 +289,7 @@ def _send_login_success():
    except Exception as e:
        pass

+
 def _send_logout():
    try:
        from common.linkai_client import chat_client
@@ -273,6 +298,7 @@ def _send_logout():
    except Exception as e:
        pass

+
 def _send_qr_code(qrcode_list: list):
    try:
        from common.linkai_client import chat_client
@@ -280,3 +306,4 @@ def _send_qr_code(qrcode_list: list):
            chat_client.send_qrcode(qrcode_list)
    except Exception as e:
        pass
+
--- a/channel/wechat/wechat_message.py
+++ b/channel/wechat/wechat_message.py
@@ -14,6 +14,11 @@ class WechatMessage(ChatMessage):
        self.create_time = itchat_msg["CreateTime"]
        self.is_group = is_group

+        notes_join_group = ["加入群聊", "加入了群聊", "invited", "joined"]  # 可通过添加对应语言的加入群聊通知中的关键词适配更多
+        notes_bot_join_group = ["邀请你", "invited you", "You've joined", "你通过扫描"]
+        notes_exit_group = ["移出了群聊", "removed"]  # 可通过添加对应语言的踢出群聊通知中的关键词适配更多
+        notes_patpat = ["拍了拍我", "tickled my", "tickled me"] # 可通过添加对应语言的拍一拍通知中的关键词适配更多
+
        if itchat_msg["Type"] == TEXT:
            self.ctype = ContextType.TEXT
            self.content = itchat_msg["Text"]
@@ -26,30 +31,47 @@ class WechatMessage(ChatMessage):
            self.content = TmpDir().path() + itchat_msg["FileName"]  # content直接存临时目录路径
            self._prepare_fn = lambda: itchat_msg.download(self.content)
        elif itchat_msg["Type"] == NOTE and itchat_msg["MsgType"] == 10000:
-            if is_group and ("加入群聊" in itchat_msg["Content"] or "加入了群聊" in itchat_msg["Content"]):
+            if is_group:
+                if any(note_bot_join_group in itchat_msg["Content"] for note_bot_join_group in notes_bot_join_group):  # 邀请机器人加入群聊
+                    logger.warn("机器人加入群聊消息，不处理~")
+                    pass
+                elif any(note_join_group in itchat_msg["Content"] for note_join_group in notes_join_group): # 若有任何在notes_join_group列表中的字符串出现在NOTE中
                # 这里只能得到nickname， actual_user_id还是机器人的id
-                if "加入了群聊" in itchat_msg["Content"]:
-                    self.ctype = ContextType.JOIN_GROUP
-                    self.content = itchat_msg["Content"]
-                    self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[-1]
-                elif "加入群聊" in itchat_msg["Content"]:
-                    self.ctype = ContextType.JOIN_GROUP
+                    if "加入群聊" not in itchat_msg["Content"]:
+                        self.ctype = ContextType.JOIN_GROUP
+                        self.content = itchat_msg["Content"]
+                        if "invited" in itchat_msg["Content"]: # 匹配英文信息
+                            self.actual_user_nickname = re.findall(r'invited\s+(.+?)\s+to\s+the\s+group\s+chat', itchat_msg["Content"])[0]
+                        elif "joined" in itchat_msg["Content"]: # 匹配通过二维码加入的英文信息
+                            self.actual_user_nickname = re.findall(r'"(.*?)" joined the group chat via the QR Code shared by', itchat_msg["Content"])[0]
+                        elif "加入了群聊" in itchat_msg["Content"]:
+                            self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[-1]
+                    elif "加入群聊" in itchat_msg["Content"]:
+                        self.ctype = ContextType.JOIN_GROUP
+                        self.content = itchat_msg["Content"]
+                        self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[0]
+
+                elif any(note_exit_group in itchat_msg["Content"] for note_exit_group in notes_exit_group):  # 若有任何在notes_exit_group列表中的字符串出现在NOTE中
+                    self.ctype = ContextType.EXIT_GROUP
                    self.content = itchat_msg["Content"]
                    self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[0]

-            elif is_group and ("移出了群聊" in itchat_msg["Content"]):
-                self.ctype = ContextType.EXIT_GROUP
-                self.content = itchat_msg["Content"]
-                self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[0]
+                elif any(note_patpat in itchat_msg["Content"] for note_patpat in notes_patpat):  # 若有任何在notes_patpat列表中的字符串出现在NOTE中:
+                    self.ctype = ContextType.PATPAT
+                    self.content = itchat_msg["Content"]
+                    if "拍了拍我" in itchat_msg["Content"]:  # 识别中文
+                        self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[0]
+                    elif "tickled my" in itchat_msg["Content"] or "tickled me" in itchat_msg["Content"]:
+                        self.actual_user_nickname = re.findall(r'^(.*?)(?:tickled my|tickled me)', itchat_msg["Content"])[0]
+                else:
+                    raise NotImplementedError("Unsupported note message: " + itchat_msg["Content"])
                    
            elif "你已添加了" in itchat_msg["Content"]:  #通过好友请求
                self.ctype = ContextType.ACCEPT_FRIEND
                self.content = itchat_msg["Content"]
-            elif "拍了拍我" in itchat_msg["Content"]:
+            elif any(note_patpat in itchat_msg["Content"] for note_patpat in notes_patpat):  # 若有任何在notes_patpat列表中的字符串出现在NOTE中:
                self.ctype = ContextType.PATPAT
                self.content = itchat_msg["Content"]
-                if is_group:
-                    self.actual_user_nickname = re.findall(r"\"(.*?)\"", itchat_msg["Content"])[0]
            else:
                raise NotImplementedError("Unsupported note message: " + itchat_msg["Content"])
        elif itchat_msg["Type"] == ATTACHMENT:
--- a/channel/wechatcom/wechatcomapp_channel.py
+++ b/channel/wechatcom/wechatcomapp_channel.py
@@ -17,7 +17,7 @@ from channel.wechatcom.wechatcomapp_client import WechatComAppClient
 from channel.wechatcom.wechatcomapp_message import WechatComAppMessage
 from common.log import logger
 from common.singleton import singleton
-from common.utils import compress_imgfile, fsize, split_string_by_utf8_length
+from common.utils import compress_imgfile, fsize, split_string_by_utf8_length, convert_webp_to_png, remove_markdown_symbol
 from config import conf, subscribe_msg
 from voice.audio_convert import any_to_amr, split_audio

@@ -44,7 +44,7 @@ class WechatComAppChannel(ChatChannel):

    def startup(self):
        # start message listener
-        urls = ("/wxcomapp", "channel.wechatcom.wechatcomapp_channel.Query")
+        urls = ("/wxcomapp/?", "channel.wechatcom.wechatcomapp_channel.Query")
        app = web.application(urls, globals(), autoreload=False)
        port = conf().get("wechatcomapp_port", 9898)
        web.httpserver.runsimple(app.wsgifunc(), ("0.0.0.0", port))
@@ -52,7 +52,7 @@ class WechatComAppChannel(ChatChannel):
    def send(self, reply: Reply, context: Context):
        receiver = context["receiver"]
        if reply.type in [ReplyType.TEXT, ReplyType.ERROR, ReplyType.INFO]:
-            reply_text = reply.content
+            reply_text = remove_markdown_symbol(reply.content)
            texts = split_string_by_utf8_length(reply_text, MAX_UTF8_LEN)
            if len(texts) > 1:
                logger.info("[wechatcom] text too long, split into {} parts".format(len(texts)))
@@ -99,6 +99,12 @@ class WechatComAppChannel(ChatChannel):
                image_storage = compress_imgfile(image_storage, 10 * 1024 * 1024 - 1)
                logger.info("[wechatcom] image compressed, sz={}".format(fsize(image_storage)))
            image_storage.seek(0)
+            if ".webp" in img_url:
+                try:
+                    image_storage = convert_webp_to_png(image_storage)
+                except Exception as e:
+                    logger.error(f"Failed to convert image: {e}")
+                    return
            try:
                response = self.client.media.upload("image", image_storage)
                logger.debug("[wechatcom] upload image response: {}".format(response))
@@ -156,11 +162,12 @@ class Query:
        logger.debug("[wechatcom] receive message: {}, msg= {}".format(message, msg))
        if msg.type == "event":
            if msg.event == "subscribe":
-                reply_content = subscribe_msg()
-                if reply_content:
-                    reply = create_reply(reply_content, msg).render()
-                    res = channel.crypto.encrypt_message(reply, nonce, timestamp)
-                    return res
+                pass
+                # reply_content = subscribe_msg()
+                # if reply_content:
+                #     reply = create_reply(reply_content, msg).render()
+                #     res = channel.crypto.encrypt_message(reply, nonce, timestamp)
+                #     return res
        else:
            try:
                wechatcom_msg = WechatComAppMessage(msg, client=channel.client)
--- a/channel/wechatcom/wechatcomapp_client.py
+++ b/channel/wechatcom/wechatcomapp_client.py
@@ -1,21 +1,43 @@
+# wechatcomapp_client.py
 import threading
 import time
-
 from wechatpy.enterprise import WeChatClient

-
 class WechatComAppClient(WeChatClient):
    def __init__(self, corp_id, secret, access_token=None, session=None, timeout=None, auto_retry=True):
        super(WechatComAppClient, self).__init__(corp_id, secret, access_token, session, timeout, auto_retry)
        self.fetch_access_token_lock = threading.Lock()
+        self._active_refresh()
+        
+    def _active_refresh(self):
+        """启动主动刷新的后台线程"""
+        def refresh_loop():
+            while True:
+                now = time.time()
+                expires_at = self.session.get(f"{self.corp_id}_expires_at", 0)
+                
+                # 提前10分钟刷新(600秒)
+                if expires_at - now < 600:
+                    with self.fetch_access_token_lock:
+                        # 双重检查避免重复刷新
+                        if self.session.get(f"{self.corp_id}_expires_at", 0) - time.time() < 600:
+                            super(WechatComAppClient, self).fetch_access_token()
+                # 每次检查间隔60秒
+                time.sleep(60)
+                
+        # 启动守护线程
+        refresh_thread = threading.Thread(
+            target=refresh_loop,
+            daemon=True,
+            name="wechatcom_token_refresh_thread"
+        )
+        refresh_thread.start()

-    def fetch_access_token(self):  # 重载父类方法，加锁避免多线程重复获取access_token
+    def fetch_access_token(self):
        with self.fetch_access_token_lock:
            access_token = self.session.get(self.access_token_key)
-            if access_token:
-                if not self.expires_at:
-                    return access_token
-                timestamp = time.time()
-                if self.expires_at - timestamp > 60:
-                    return access_token
-            return super().fetch_access_token()
+            expires_at = self.session.get(f"{self.corp_id}_expires_at", 0)
+            
+            if access_token and expires_at > time.time() + 60:
+                return access_token
+            return super().fetch_access_token()
--- a/channel/wechatmp/wechatmp_channel.py
+++ b/channel/wechatmp/wechatmp_channel.py
@@ -19,7 +19,7 @@ from channel.wechatmp.common import *
 from channel.wechatmp.wechatmp_client import WechatMPClient
 from common.log import logger
 from common.singleton import singleton
-from common.utils import split_string_by_utf8_length
+from common.utils import split_string_by_utf8_length, remove_markdown_symbol
 from config import conf
 from voice.audio_convert import any_to_mp3, split_audio

@@ -81,7 +81,7 @@ class WechatMPChannel(ChatChannel):
        receiver = context["receiver"]
        if self.passive_reply:
            if reply.type == ReplyType.TEXT or reply.type == ReplyType.INFO or reply.type == ReplyType.ERROR:
-                reply_text = reply.content
+                reply_text = remove_markdown_symbol(reply.content)
                logger.info("[wechatmp] text cached, receiver {}\n{}".format(receiver, reply_text))
                self.cache_dict[receiver].append(("text", reply_text))
            elif reply.type == ReplyType.VOICE:
@@ -140,6 +140,42 @@ class WechatMPChannel(ChatChannel):
                media_id = response["media_id"]
                logger.info("[wechatmp] image uploaded, receiver {}, media_id {}".format(receiver, media_id))
                self.cache_dict[receiver].append(("image", media_id))
+            elif reply.type == ReplyType.VIDEO_URL:  # 从网络下载视频
+                video_url = reply.content
+                video_res = requests.get(video_url, stream=True)
+                video_storage = io.BytesIO()
+                for block in video_res.iter_content(1024):
+                    video_storage.write(block)
+                video_storage.seek(0)
+                video_type = 'mp4'
+                filename = receiver + "-" + str(context["msg"].msg_id) + "." + video_type
+                content_type = "video/" + video_type
+                try:
+                    response = self.client.material.add("video", (filename, video_storage, content_type))
+                    logger.debug("[wechatmp] upload video response: {}".format(response))
+                except WeChatClientException as e:
+                    logger.error("[wechatmp] upload video failed: {}".format(e))
+                    return
+                media_id = response["media_id"]
+                logger.info("[wechatmp] video uploaded, receiver {}, media_id {}".format(receiver, media_id))
+                self.cache_dict[receiver].append(("video", media_id))
+
+            elif reply.type == ReplyType.VIDEO:  # 从文件读取视频
+                video_storage = reply.content
+                video_storage.seek(0)
+                video_type = 'mp4'
+                filename = receiver + "-" + str(context["msg"].msg_id) + "." + video_type
+                content_type = "video/" + video_type
+                try:
+                    response = self.client.material.add("video", (filename, video_storage, content_type))
+                    logger.debug("[wechatmp] upload video response: {}".format(response))
+                except WeChatClientException as e:
+                    logger.error("[wechatmp] upload video failed: {}".format(e))
+                    return
+                media_id = response["media_id"]
+                logger.info("[wechatmp] video uploaded, receiver {}, media_id {}".format(receiver, media_id))
+                self.cache_dict[receiver].append(("video", media_id))
+
        else:
            if reply.type == ReplyType.TEXT or reply.type == ReplyType.INFO or reply.type == ReplyType.ERROR:
                reply_text = reply.content
@@ -222,6 +258,38 @@ class WechatMPChannel(ChatChannel):
                    return
                self.client.message.send_image(receiver, response["media_id"])
                logger.info("[wechatmp] Do send image to {}".format(receiver))
+            elif reply.type == ReplyType.VIDEO_URL:  # 从网络下载视频
+                video_url = reply.content
+                video_res = requests.get(video_url, stream=True)
+                video_storage = io.BytesIO()
+                for block in video_res.iter_content(1024):
+                    video_storage.write(block)
+                video_storage.seek(0)
+                video_type = 'mp4'
+                filename = receiver + "-" + str(context["msg"].msg_id) + "." + video_type
+                content_type = "video/" + video_type
+                try:
+                    response = self.client.media.upload("video", (filename, video_storage, content_type))
+                    logger.debug("[wechatmp] upload video response: {}".format(response))
+                except WeChatClientException as e:
+                    logger.error("[wechatmp] upload video failed: {}".format(e))
+                    return
+                self.client.message.send_video(receiver, response["media_id"])
+                logger.info("[wechatmp] Do send video to {}".format(receiver))
+            elif reply.type == ReplyType.VIDEO:  # 从文件读取视频
+                video_storage = reply.content
+                video_storage.seek(0)
+                video_type = 'mp4'
+                filename = receiver + "-" + str(context["msg"].msg_id) + "." + video_type
+                content_type = "video/" + video_type
+                try:
+                    response = self.client.media.upload("video", (filename, video_storage, content_type))
+                    logger.debug("[wechatmp] upload video response: {}".format(response))
+                except WeChatClientException as e:
+                    logger.error("[wechatmp] upload video failed: {}".format(e))
+                    return
+                self.client.message.send_video(receiver, response["media_id"])
+                logger.info("[wechatmp] Do send video to {}".format(receiver))
        return

    def _success_callback(self, session_id, context, **kwargs):  # 线程异常结束时的回调函数
--- a/common/const.py
+++ b/common/const.py
@@ -1,31 +1,118 @@
 # bot_type
 OPEN_AI = "openAI"
 CHATGPT = "chatGPT"
-BAIDU = "baidu"
+BAIDU = "baidu"  # 百度文心一言模型
 XUNFEI = "xunfei"
 CHATGPTONAZURE = "chatGPTOnAzure"
 LINKAI = "linkai"
-CLAUDEAI = "claude"
-CLAUDEAPI= "claudeAPI"
-QWEN = "qwen"
-GEMINI = "gemini"
+CLAUDEAI = "claude"  # 使用cookie的历史模型
+CLAUDEAPI= "claudeAPI"  # 通过Claude api调用模型
+QWEN = "qwen"  # 旧版通义模型
+QWEN_DASHSCOPE = "dashscope"  # 通义新版sdk和api key
+
+
+GEMINI = "gemini"  # gemini-1.0-pro
 ZHIPU_AI = "glm-4"
 MOONSHOT = "moonshot"
-
+MiniMax = "minimax"
+MODELSCOPE = "modelscope"

 # model
 CLAUDE3 = "claude-3-opus-20240229"
 GPT35 = "gpt-3.5-turbo"
-GPT4 = "gpt-4"
-GPT4_TURBO_PREVIEW = "gpt-4-0125-preview"
+GPT35_0125 = "gpt-3.5-turbo-0125"
+GPT35_1106 = "gpt-3.5-turbo-1106"
+
+GPT_4o = "gpt-4o"
+GPT_4O_0806 = "gpt-4o-2024-08-06"
+GPT4_TURBO = "gpt-4-turbo"
+GPT4_TURBO_PREVIEW = "gpt-4-turbo-preview"
+GPT4_TURBO_04_09 = "gpt-4-turbo-2024-04-09"
+GPT4_TURBO_01_25 = "gpt-4-0125-preview"
+GPT4_TURBO_11_06 = "gpt-4-1106-preview"
 GPT4_VISION_PREVIEW = "gpt-4-vision-preview"
+
+GPT4 = "gpt-4"
+GPT_4o_MINI = "gpt-4o-mini"
+GPT4_32k = "gpt-4-32k"
+GPT4_06_13 = "gpt-4-0613"
+GPT4_32k_06_13 = "gpt-4-32k-0613"
+GPT_41 = "gpt-4.1"
+GPT_41_MINI = "gpt-4.1-mini"
+GPT_41_NANO = "gpt-4.1-nano"
+
+O1 = "o1-preview"
+O1_MINI = "o1-mini"
+
 WHISPER_1 = "whisper-1"
 TTS_1 = "tts-1"
 TTS_1_HD = "tts-1-hd"

-MODEL_LIST = ["gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-4", "wenxin", "wenxin-4", "xunfei", "claude","claude-3-opus-20240229", "gpt-4-turbo",
-              "gpt-4-turbo-preview", "gpt-4-1106-preview", GPT4_TURBO_PREVIEW, QWEN, GEMINI, ZHIPU_AI, MOONSHOT]
+WEN_XIN = "wenxin"
+WEN_XIN_4 = "wenxin-4"

+QWEN_TURBO = "qwen-turbo"
+QWEN_PLUS = "qwen-plus"
+QWEN_MAX = "qwen-max"
+
+LINKAI_35 = "linkai-3.5"
+LINKAI_4_TURBO = "linkai-4-turbo"
+LINKAI_4o = "linkai-4o"
+
+GEMINI_PRO = "gemini-1.0-pro"
+GEMINI_15_flash = "gemini-1.5-flash"
+GEMINI_15_PRO = "gemini-1.5-pro"
+GEMINI_20_flash_exp = "gemini-2.0-flash-exp"
+
+
+GLM_4 = "glm-4"
+GLM_4_PLUS = "glm-4-plus"
+GLM_4_flash = "glm-4-flash"
+GLM_4_LONG = "glm-4-long"
+GLM_4_ALLTOOLS = "glm-4-alltools"
+GLM_4_0520 = "glm-4-0520"
+GLM_4_AIR = "glm-4-air"
+GLM_4_AIRX = "glm-4-airx"
+
+
+CLAUDE_3_OPUS = "claude-3-opus-latest"
+CLAUDE_3_OPUS_0229 = "claude-3-opus-20240229"
+CLAUDE_35_SONNET = "claude-3-5-sonnet-latest"  # 带 latest 标签的模型名称，会不断更新指向最新发布的模型
+CLAUDE_35_SONNET_1022 = "claude-3-5-sonnet-20241022"  # 带具体日期的模型名称，会固定为该日期发布的模型
+CLAUDE_35_SONNET_0620 = "claude-3-5-sonnet-20240620"
+CLAUDE_3_SONNET = "claude-3-sonnet-20240229"
+CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
+CLAUDE_4_SONNET = "claude-sonnet-4-0"
+CLAUDE_4_OPUS = "claude-opus-4-0"
+
+DEEPSEEK_CHAT = "deepseek-chat"  # DeepSeek-V3对话模型
+DEEPSEEK_REASONER = "deepseek-reasoner"  # DeepSeek-R1模型
+
+GITEE_AI_MODEL_LIST = ["Yi-34B-Chat", "InternVL2-8B", "deepseek-coder-33B-instruct", "InternVL2.5-26B", "Qwen2-VL-72B", "Qwen2.5-32B-Instruct", "glm-4-9b-chat", "codegeex4-all-9b", "Qwen2.5-Coder-32B-Instruct", "Qwen2.5-72B-Instruct", "Qwen2.5-7B-Instruct", "Qwen2-72B-Instruct", "Qwen2-7B-Instruct", "code-raccoon-v1", "Qwen2.5-14B-Instruct"]
+
+MODELSCOPE_MODEL_LIST = ["LLM-Research/c4ai-command-r-plus-08-2024","mistralai/Mistral-Small-Instruct-2409","mistralai/Ministral-8B-Instruct-2410","mistralai/Mistral-Large-Instruct-2407",
+                          "Qwen/Qwen2.5-Coder-32B-Instruct","Qwen/Qwen2.5-Coder-14B-Instruct","Qwen/Qwen2.5-Coder-7B-Instruct","Qwen/Qwen2.5-72B-Instruct","Qwen/Qwen2.5-32B-Instruct","Qwen/Qwen2.5-14B-Instruct","Qwen/Qwen2.5-7B-Instruct","Qwen/QwQ-32B-Preview",
+                          "LLM-Research/Llama-3.3-70B-Instruct","opencompass/CompassJudger-1-32B-Instruct","Qwen/QVQ-72B-Preview","LLM-Research/Meta-Llama-3.1-405B-Instruct","LLM-Research/Meta-Llama-3.1-8B-Instruct","Qwen/Qwen2-VL-7B-Instruct","LLM-Research/Meta-Llama-3.1-70B-Instruct",
+                          "Qwen/Qwen2.5-14B-Instruct-1M","Qwen/Qwen2.5-7B-Instruct-1M","Qwen/Qwen2.5-VL-3B-Instruct","Qwen/Qwen2.5-VL-7B-Instruct","Qwen/Qwen2.5-VL-72B-Instruct","deepseek-ai/DeepSeek-R1-Distill-Llama-70B","deepseek-ai/DeepSeek-R1-Distill-Llama-8B","deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+                          "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B","deepseek-ai/DeepSeek-R1-Distill-Qwen-7B","deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B","deepseek-ai/DeepSeek-R1","deepseek-ai/DeepSeek-V3","Qwen/QwQ-32B"]
+
+MODEL_LIST = [
+              GPT35, GPT35_0125, GPT35_1106, "gpt-3.5-turbo-16k",
+              GPT_41, GPT_41_MINI, GPT_41_NANO, O1, O1_MINI, GPT_4o, GPT_4O_0806, GPT_4o_MINI, GPT4_TURBO, GPT4_TURBO_PREVIEW, GPT4_TURBO_01_25, GPT4_TURBO_11_06, GPT4, GPT4_32k, GPT4_06_13, GPT4_32k_06_13,
+              WEN_XIN, WEN_XIN_4,
+              XUNFEI,
+              ZHIPU_AI, GLM_4, GLM_4_PLUS, GLM_4_flash, GLM_4_LONG, GLM_4_ALLTOOLS, GLM_4_0520, GLM_4_AIR, GLM_4_AIRX,
+              MOONSHOT, MiniMax,
+              GEMINI, GEMINI_PRO, GEMINI_15_flash, GEMINI_15_PRO,GEMINI_20_flash_exp,
+              CLAUDE_4_OPUS, CLAUDE_4_SONNET, CLAUDE_3_OPUS, CLAUDE_3_OPUS_0229, CLAUDE_35_SONNET, CLAUDE_35_SONNET_1022, CLAUDE_35_SONNET_0620, CLAUDE_3_SONNET, CLAUDE_3_HAIKU, "claude", "claude-3-haiku", "claude-3-sonnet", "claude-3-opus", "claude-3.5-sonnet",
+              "moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k",
+              QWEN, QWEN_TURBO, QWEN_PLUS, QWEN_MAX,
+              LINKAI_35, LINKAI_4_TURBO, LINKAI_4o,
+              DEEPSEEK_CHAT, DEEPSEEK_REASONER,
+              MODELSCOPE
+            ]
+
+MODEL_LIST = MODEL_LIST + GITEE_AI_MODEL_LIST + MODELSCOPE_MODEL_LIST
 # channel
 FEISHU = "feishu"
-DINGTALK = "dingtalk"   
+DINGTALK = "dingtalk"
--- a/common/linkai_client.py
+++ b/common/linkai_client.py
@@ -2,12 +2,14 @@ from bridge.context import Context, ContextType
 from bridge.reply import Reply, ReplyType
 from common.log import logger
 from linkai import LinkAIClient, PushMsg
-from config import conf, pconf, plugin_config
+from config import conf, pconf, plugin_config, available_setting, write_plugin_config
 from plugins import PluginManager
+import time


 chat_client: LinkAIClient

+
 class ChatClient(LinkAIClient):
    def __init__(self, api_key, host, channel):
        super().__init__(api_key, host)
@@ -27,29 +29,82 @@ class ChatClient(LinkAIClient):
    def on_config(self, config: dict):
        if not self.client_id:
            return
-        logger.info(f"从控制台加载配置: {config}")
+        logger.info(f"[LinkAI] 从客户端管理加载远程配置: {config}")
+        if config.get("enabled") != "Y":
+            return
+
        local_config = conf()
-        for key in local_config.keys():
-            if config.get(key) is not None:
+        for key in config.keys():
+            if key in available_setting and config.get(key) is not None:
                local_config[key] = config.get(key)
-        if config.get("reply_voice_mode"):
-            if config.get("reply_voice_mode") == "voice_reply_voice":
+        # 语音配置
+        reply_voice_mode = config.get("reply_voice_mode")
+        if reply_voice_mode:
+            if reply_voice_mode == "voice_reply_voice":
                local_config["voice_reply_voice"] = True
-            elif config.get("reply_voice_mode") == "always_reply_voice":
+                local_config["always_reply_voice"] = False
+            elif reply_voice_mode == "always_reply_voice":
                local_config["always_reply_voice"] = True
-        # if config.get("admin_password") and plugin_config["Godcmd"]:
-        #     plugin_config["Godcmd"]["password"] = config.get("admin_password")
-        #     PluginManager().instances["Godcmd"].reload()
-        # if config.get("group_app_map") and pconf("linkai"):
-        #     local_group_map = {}
-        #     for mapping in config.get("group_app_map"):
-        #         local_group_map[mapping.get("group_name")] = mapping.get("app_code")
-        #     pconf("linkai")["group_app_map"] = local_group_map
-        #     PluginManager().instances["linkai"].reload()
+                local_config["voice_reply_voice"] = True
+            elif reply_voice_mode == "no_reply_voice":
+                local_config["always_reply_voice"] = False
+                local_config["voice_reply_voice"] = False
+
+        if config.get("admin_password"):
+            if not pconf("Godcmd"):
+                write_plugin_config({"Godcmd": {"password": config.get("admin_password"), "admin_users": []} })
+            else:
+                pconf("Godcmd")["password"] = config.get("admin_password")
+            PluginManager().instances["GODCMD"].reload()
+
+        if config.get("group_app_map") and pconf("linkai"):
+            local_group_map = {}
+            for mapping in config.get("group_app_map"):
+                local_group_map[mapping.get("group_name")] = mapping.get("app_code")
+            pconf("linkai")["group_app_map"] = local_group_map
+            PluginManager().instances["LINKAI"].reload()
+
+        if config.get("text_to_image") and config.get("text_to_image") == "midjourney" and pconf("linkai"):
+            if pconf("linkai")["midjourney"]:
+                pconf("linkai")["midjourney"]["enabled"] = True
+                pconf("linkai")["midjourney"]["use_image_create_prefix"] = True
+        elif config.get("text_to_image") and config.get("text_to_image") in ["dall-e-2", "dall-e-3"]:
+            if pconf("linkai")["midjourney"]:
+                pconf("linkai")["midjourney"]["use_image_create_prefix"] = False


 def start(channel):
    global chat_client
-    chat_client = ChatClient(api_key=conf().get("linkai_api_key"),
-                        host="link-ai.chat", channel=channel)
+    chat_client = ChatClient(api_key=conf().get("linkai_api_key"), host="", channel=channel)
+    chat_client.config = _build_config()
    chat_client.start()
+    time.sleep(1.5)
+    if chat_client.client_id:
+        logger.info("[LinkAI] 可前往控制台进行线上登录和配置：https://link-ai.tech/console/clients")
+
+
+def _build_config():
+    local_conf = conf()
+    config = {
+        "linkai_app_code": local_conf.get("linkai_app_code"),
+        "single_chat_prefix": local_conf.get("single_chat_prefix"),
+        "single_chat_reply_prefix": local_conf.get("single_chat_reply_prefix"),
+        "single_chat_reply_suffix": local_conf.get("single_chat_reply_suffix"),
+        "group_chat_prefix": local_conf.get("group_chat_prefix"),
+        "group_chat_reply_prefix": local_conf.get("group_chat_reply_prefix"),
+        "group_chat_reply_suffix": local_conf.get("group_chat_reply_suffix"),
+        "group_name_white_list": local_conf.get("group_name_white_list"),
+        "nick_name_black_list": local_conf.get("nick_name_black_list"),
+        "speech_recognition": "Y" if local_conf.get("speech_recognition") else "N",
+        "text_to_image": local_conf.get("text_to_image"),
+        "image_create_prefix": local_conf.get("image_create_prefix")
+    }
+    if local_conf.get("always_reply_voice"):
+        config["reply_voice_mode"] = "always_reply_voice"
+    elif local_conf.get("voice_reply_voice"):
+        config["reply_voice_mode"] = "voice_reply_voice"
+    if pconf("linkai"):
+        config["group_app_map"] = pconf("linkai").get("group_app_map")
+    if plugin_config.get("Godcmd"):
+        config["admin_password"] = plugin_config.get("Godcmd").get("password")
+    return config
--- a/common/time_check.py
+++ b/common/time_check.py
@@ -1,7 +1,5 @@
-import hashlib
 import re
 import time
-
 import config
 from common.log import logger

@@ -10,31 +8,33 @@ def time_checker(f):
    def _time_checker(self, *args, **kwargs):
        _config = config.conf()
        chat_time_module = _config.get("chat_time_module", False)
+
        if chat_time_module:
            chat_start_time = _config.get("chat_start_time", "00:00")
-            chat_stopt_time = _config.get("chat_stop_time", "24:00")
-            time_regex = re.compile(r"^([01]?[0-9]|2[0-4])(:)([0-5][0-9])$")  # 时间匹配，包含24:00
+            chat_stop_time = _config.get("chat_stop_time", "24:00")

-            starttime_format_check = time_regex.match(chat_start_time)  # 检查停止时间格式
-            stoptime_format_check = time_regex.match(chat_stopt_time)  # 检查停止时间格式
-            chat_time_check = chat_start_time < chat_stopt_time  # 确定启动时间<停止时间
+            time_regex = re.compile(r"^([01]?[0-9]|2[0-4])(:)([0-5][0-9])$")

-            # 时间格式检查
-            if not (starttime_format_check and stoptime_format_check and chat_time_check):
-                logger.warn("时间格式不正确,请在config.json中修改您的CHAT_START_TIME/CHAT_STOP_TIME,否则可能会影响您正常使用,开始({})-结束({})".format(starttime_format_check, stoptime_format_check))
-            if chat_start_time > "23:59":
-                logger.error("启动时间可能存在问题，请修改!")
-
-            # 服务时间检查
-            now_time = time.strftime("%H:%M", time.localtime())
-            if chat_start_time <= now_time <= chat_stopt_time:  # 服务时间内，正常返回回答
-                f(self, *args, **kwargs)
+            if not (time_regex.match(chat_start_time) and time_regex.match(chat_stop_time)):
+                logger.warning("时间格式不正确，请在config.json中修改CHAT_START_TIME/CHAT_STOP_TIME。")
                return None
+
+            now_time = time.strptime(time.strftime("%H:%M"), "%H:%M")
+            chat_start_time = time.strptime(chat_start_time, "%H:%M")
+            chat_stop_time = time.strptime(chat_stop_time, "%H:%M")
+            # 结束时间小于开始时间，跨天了
+            if chat_stop_time < chat_start_time and (chat_start_time <= now_time or now_time <= chat_stop_time):
+                f(self, *args, **kwargs)
+            # 结束大于开始时间代表，没有跨天
+            elif chat_start_time < chat_stop_time and chat_start_time <= now_time <= chat_stop_time:
+                f(self, *args, **kwargs)
            else:
-                if args[0]["Content"] == "#更新配置":  # 不在服务时间内也可以更新配置
+                # 定义匹配规则，如果以 #reconf 或者  #更新配置  结尾, 非服务时间可以修改开始/结束时间并重载配置
+                pattern = re.compile(r"^.*#(?:reconf|更新配置)$")
+                if args and pattern.match(args[0].content):
                    f(self, *args, **kwargs)
                else:
-                    logger.info("非服务时间内,不接受访问")
+                    logger.info("非服务时间内，不接受访问")
                    return None
        else:
            f(self, *args, **kwargs)  # 未开启时间模块则直接回答
--- a/common/utils.py
+++ b/common/utils.py
@@ -1,8 +1,9 @@
 import io
 import os
+import re
 from urllib.parse import urlparse
 from PIL import Image
-
+from common.log import logger

 def fsize(file):
    if isinstance(file, io.BytesIO):
@@ -54,3 +55,24 @@ def split_string_by_utf8_length(string, max_length, max_split=0):
 def get_path_suffix(path):
    path = urlparse(path).path
    return os.path.splitext(path)[-1].lstrip('.')
+
+
+def convert_webp_to_png(webp_image):
+    from PIL import Image
+    try:
+        webp_image.seek(0)
+        img = Image.open(webp_image).convert("RGBA")
+        png_image = io.BytesIO()
+        img.save(png_image, format="PNG")
+        png_image.seek(0)
+        return png_image
+    except Exception as e:
+        logger.error(f"Failed to convert WEBP to PNG: {e}")
+        raise
+
+
+def remove_markdown_symbol(text: str):
+    # 移除markdown格式，目前先移除**
+    if not text:
+        return text
+    return re.sub(r'\*\*(.*?)\*\*', r'\1', text)
--- a/config-template.json
+++ b/config-template.json
@@ -1,5 +1,5 @@
 {
-  "channel_type": "wx",
+  "channel_type": "web",
  "model": "",
  "open_ai_api_key": "YOUR API KEY",
  "claude_api_key": "YOUR API KEY",
@@ -28,7 +28,7 @@
  "voice_reply_voice": false,
  "conversation_max_tokens": 2500,
  "expires_in_seconds": 3600,
-  "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。",
+  "character_desc": "你是基于大语言模型的AI智能助手，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。",
  "temperature": 0.7,
  "subscribe_msg": "感谢您的关注！\n这里是AI智能助手，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。",
  "use_linkai": false,
--- a/config.py
+++ b/config.py
@@ -4,6 +4,7 @@ import json
 import logging
 import os
 import pickle
+import copy

 from common.log import logger

@@ -16,7 +17,8 @@ available_setting = {
    "open_ai_api_base": "https://api.openai.com/v1",
    "proxy": "",  # openai使用的代理
    # chatgpt模型， 当use_azure_chatgpt为true时，其名称为Azure上model deployment名称
-    "model": "gpt-3.5-turbo",  # 还支持 gpt-4, gpt-4-turbo, wenxin, xunfei, qwen
+    "model": "gpt-3.5-turbo",  # 可选择: gpt-4o, pt-4o-mini, gpt-4-turbo, claude-3-sonnet, wenxin, moonshot, qwen-turbo, xunfei, glm-4, minimax, gemini等模型，全部可选模型详见common/const.py文件
+    "bot_type": "",  # 可选配置，使用兼容openai格式的三方服务时候，需填"chatGPT"。bot具体名称详见common/const.py文件列出的bot_type，如不填根据model名称判断，
    "use_azure_chatgpt": False,  # 是否使用azure的chatgpt
    "azure_deployment_id": "",  # azure 模型部署名称
    "azure_api_version": "",  # azure api版本
@@ -25,6 +27,7 @@ available_setting = {
    "single_chat_reply_prefix": "[bot] ",  # 私聊时自动回复的前缀，用于区分真人
    "single_chat_reply_suffix": "",  # 私聊时自动回复的后缀，\n 可以换行
    "group_chat_prefix": ["@bot"],  # 群聊时包含该前缀则会触发机器人回复
+    "no_need_at": False,  # 群聊回复时是否不需要艾特
    "group_chat_reply_prefix": "",  # 群聊时自动回复的前缀
    "group_chat_reply_suffix": "",  # 群聊时自动回复的后缀，\n 可以换行
    "group_chat_keyword": [],  # 群聊时包含该关键词则会触发机器人回复
@@ -33,14 +36,21 @@ available_setting = {
    "group_name_keyword_white_list": [],  # 开启自动回复的群名称关键词列表
    "group_chat_in_one_session": ["ChatGPT测试群"],  # 支持会话上下文共享的群名称
    "nick_name_black_list": [],  # 用户昵称黑名单
-    "group_welcome_msg": "",  # 配置新人进群固定欢迎语，不配置则使用随机风格欢迎 
+    "group_welcome_msg": "",  # 配置新人进群固定欢迎语，不配置则使用随机风格欢迎
    "trigger_by_self": False,  # 是否允许机器人触发
    "text_to_image": "dall-e-2",  # 图片生成模型，可选 dall-e-2, dall-e-3
+    # Azure OpenAI dall-e-3 配置
+    "dalle3_image_style": "vivid", # 图片生成dalle3的风格，可选有 vivid, natural
+    "dalle3_image_quality": "hd", # 图片生成dalle3的质量，可选有 standard, hd
+    # Azure OpenAI DALL-E API 配置, 当use_azure_chatgpt为true时,用于将文字回复的资源和Dall-E的资源分开.
+    "azure_openai_dalle_api_base": "", # [可选] azure openai 用于回复图片的资源 endpoint，默认使用 open_ai_api_base
+    "azure_openai_dalle_api_key": "", # [可选] azure openai 用于回复图片的资源 key，默认使用 open_ai_api_key
+    "azure_openai_dalle_deployment_id":"", # [可选] azure openai 用于回复图片的资源 deployment id，默认使用 text_to_image
    "image_proxy": True,  # 是否需要图片代理，国内访问LinkAI时需要
    "image_create_prefix": ["画", "看", "找"],  # 开启图片回复的前缀
    "concurrency_in_session": 1,  # 同一会话最多有多少条消息在处理中，大于1可能乱序
    "image_create_size": "256x256",  # 图片大小,可选有 256x256, 512x512, 1024x1024 (dall-e-3默认为1024x1024)
-    "group_chat_exit_group": False, 
+    "group_chat_exit_group": False,
    # chatgpt会话参数
    "expires_in_seconds": 3600,  # 无操作会话的过期时间
    # 人格描述
@@ -60,21 +70,26 @@ available_setting = {
    "baidu_wenxin_model": "eb-instant",  # 默认使用ERNIE-Bot-turbo模型
    "baidu_wenxin_api_key": "",  # Baidu api key
    "baidu_wenxin_secret_key": "",  # Baidu secret key
+    "baidu_wenxin_prompt_enabled": False,  # Enable prompt if you are using ernie character model
    # 讯飞星火API
    "xunfei_app_id": "",  # 讯飞应用ID
    "xunfei_api_key": "",  # 讯飞 API key
    "xunfei_api_secret": "",  # 讯飞 API secret
+    "xunfei_domain": "",  # 讯飞模型对应的domain参数，Spark4.0 Ultra为 4.0Ultra，其他模型详见: https://www.xfyun.cn/doc/spark/Web.html
+    "xunfei_spark_url": "",  # 讯飞模型对应的请求地址，Spark4.0 Ultra为 wss://spark-api.xf-yun.com/v4.0/chat，其他模型参考详见: https://www.xfyun.cn/doc/spark/Web.html
    # claude 配置
    "claude_api_cookie": "",
    "claude_uuid": "",
    # claude api key
-    "claude_api_key":"",
+    "claude_api_key": "",
    # 通义千问API, 获取方式查看文档 https://help.aliyun.com/document_detail/2587494.html
    "qwen_access_key_id": "",
    "qwen_access_key_secret": "",
    "qwen_agent_key": "",
    "qwen_app_id": "",
    "qwen_node_id": "",  # 流程编排模型用到的id，如果没有用到qwen_node_id，请务必保持为空字符串
+    # 阿里灵积(通义新版sdk)模型api key
+    "dashscope_api_key": "",
    # Google Gemini Api Key
    "gemini_api_key": "",
    # wework的通用配置
@@ -84,8 +99,8 @@ available_setting = {
    "group_speech_recognition": False,  # 是否开启群组语音识别
    "voice_reply_voice": False,  # 是否使用语音回复语音，需要设置对应语音合成引擎的api key
    "always_reply_voice": False,  # 是否一直使用语音回复
-    "voice_to_text": "openai",  # 语音识别引擎，支持openai,baidu,google,azure
-    "text_to_voice": "openai",  # 语音合成引擎，支持openai,baidu,google,pytts(offline),azure,elevenlabs,edge(online)
+    "voice_to_text": "openai",  # 语音识别引擎，支持openai,baidu,google,azure,xunfei,ali
+    "text_to_voice": "openai",  # 语音合成引擎，支持openai,baidu,google,azure,xunfei,ali,pytts(offline),elevenlabs,edge(online)
    "text_to_voice_model": "tts-1",
    "tts_voice_id": "alloy",
    # baidu 语音api配置， 使用百度语音识别和语音合成时需要
@@ -93,13 +108,13 @@ available_setting = {
    "baidu_api_key": "",
    "baidu_secret_key": "",
    # 1536普通话(支持简单的英文识别) 1737英语 1637粤语 1837四川话 1936普通话远场
-    "baidu_dev_pid": "1536",
+    "baidu_dev_pid": 1536,
    # azure 语音api配置， 使用azure语音识别和语音合成时需要
    "azure_voice_api_key": "",
    "azure_voice_region": "japaneast",
    # elevenlabs 语音api配置
-    "xi_api_key": "",    #获取ap的方法可以参考https://docs.elevenlabs.io/api-reference/quick-start/authentication
-    "xi_voice_id": "",   #ElevenLabs提供了9种英式、美式等英语发音id，分别是“Adam/Antoni/Arnold/Bella/Domi/Elli/Josh/Rachel/Sam”
+    "xi_api_key": "",  # 获取ap的方法可以参考https://docs.elevenlabs.io/api-reference/quick-start/authentication
+    "xi_voice_id": "",  # ElevenLabs提供了9种英式、美式等英语发音id，分别是“Adam/Antoni/Arnold/Bella/Domi/Elli/Josh/Rachel/Sam”
    # 服务时间限制，目前支持itchat
    "chat_time_module": False,  # 是否开启服务时间限制
    "chat_start_time": "00:00",  # 服务开始时间
@@ -127,22 +142,21 @@ available_setting = {
    "wechatcomapp_secret": "",  # 企业微信app的secret
    "wechatcomapp_agent_id": "",  # 企业微信app的agent_id
    "wechatcomapp_aes_key": "",  # 企业微信app的aes_key
-
    # 飞书配置
    "feishu_port": 80,  # 飞书bot监听端口
    "feishu_app_id": "",  # 飞书机器人应用APP Id
    "feishu_app_secret": "",  # 飞书机器人APP secret
    "feishu_token": "",  # 飞书 verification token
    "feishu_bot_name": "",  # 飞书机器人的名字
-    
    # 钉钉配置
    "dingtalk_client_id": "",  # 钉钉机器人Client ID 
-    "dingtalk_client_secret": "",  # 钉钉机器人Client Secret 
+    "dingtalk_client_secret": "",  # 钉钉机器人Client Secret
+    "dingtalk_card_enabled": False,
    
    # chatgpt指令自定义触发词
    "clear_memory_commands": ["#清除记忆"],  # 重置会话指令，必须以#开头
    # channel配置
-    "channel_type": "wx",  # 通道类型，支持：{wx,wxy,terminal,wechatmp,wechatmp_service,wechatcom_app}
+    "channel_type": "",  # 通道类型，支持：{wx,wxy,terminal,wechatmp,wechatmp_service,wechatcom_app,dingtalk}
    "subscribe_msg": "",  # 订阅消息, 支持: wechatmp, wechatmp_service, wechatcom_app
    "debug": False,  # 是否开启debug模式，开启后会打印更多日志
    "appdata_dir": "",  # 数据目录
@@ -150,16 +164,25 @@ available_setting = {
    "plugin_trigger_prefix": "$",  # 规范插件提供聊天相关指令的前缀，建议不要和管理员指令前缀"#"冲突
    # 是否使用全局插件配置
    "use_global_plugin_config": False,
-    "max_media_send_count": 3,     # 单次最大发送媒体资源的个数
+    "max_media_send_count": 3,  # 单次最大发送媒体资源的个数
    "media_send_interval": 1,  # 发送图片的事件间隔，单位秒
    # 智谱AI 平台配置
    "zhipu_ai_api_key": "",
    "zhipu_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
+    "moonshot_api_key": "",
+    "moonshot_base_url": "https://api.moonshot.cn/v1/chat/completions",
+    #魔搭社区 平台配置
+    "modelscope_api_key": "",
+    "modelscope_base_url": "https://api-inference.modelscope.cn/v1/chat/completions",
    # LinkAI平台配置
    "use_linkai": False,
    "linkai_api_key": "",
    "linkai_app_code": "",
-    "linkai_api_base": "https://api.link-ai.chat",  # linkAI服务地址，若国内无法访问或延迟较高可改为 https://api.link-ai.tech
+    "linkai_api_base": "https://api.link-ai.tech",  # linkAI服务地址
+    "Minimax_api_key": "",
+    "Minimax_group_id": "",
+    "Minimax_base_url": "",
+    "web_port": 9899,
 }


@@ -220,6 +243,30 @@ class Config(dict):
 config = Config()


+def drag_sensitive(config):
+    try:
+        if isinstance(config, str):
+            conf_dict: dict = json.loads(config)
+            conf_dict_copy = copy.deepcopy(conf_dict)
+            for key in conf_dict_copy:
+                if "key" in key or "secret" in key:
+                    if isinstance(conf_dict_copy[key], str):
+                        conf_dict_copy[key] = conf_dict_copy[key][0:3] + "*" * 5 + conf_dict_copy[key][-3:]
+            return json.dumps(conf_dict_copy, indent=4)
+
+        elif isinstance(config, dict):
+            config_copy = copy.deepcopy(config)
+            for key in config:
+                if "key" in key or "secret" in key:
+                    if isinstance(config_copy[key], str):
+                        config_copy[key] = config_copy[key][0:3] + "*" * 5 + config_copy[key][-3:]
+            return config_copy
+    except Exception as e:
+        logger.exception(e)
+        return config
+    return config
+
+
 def load_config():
    global config
    config_path = "./config.json"
@@ -228,7 +275,7 @@ def load_config():
        config_path = "./config-template.json"

    config_str = read_file(config_path)
-    logger.debug("[INIT] config str: {}".format(config_str))
+    logger.debug("[INIT] config str: {}".format(drag_sensitive(config_str)))

    # 将json字符串反序列化为dict类型
    config = Config(json.loads(config_str))
@@ -253,7 +300,7 @@ def load_config():
        logger.setLevel(logging.DEBUG)
        logger.debug("[INIT] set log level to DEBUG")

-    logger.info("[INIT] load config: {}".format(config))
+    logger.info("[INIT] load config: {}".format(drag_sensitive(config)))

    config.load_user_datas()

@@ -298,6 +345,14 @@ def write_plugin_config(pconf: dict):
    for k in pconf:
        plugin_config[k.lower()] = pconf[k]

+def remove_plugin_config(name: str):
+    """
+    移除待重新加载的插件全局配置
+    :param name: 待重载的插件名
+    """
+    global plugin_config
+    plugin_config.pop(name.lower(), None)
+

 def pconf(plugin_name: str) -> dict:
    """
@@ -309,6 +364,4 @@ def pconf(plugin_name: str) -> dict:


 # 全局配置，用于存放全局生效的状态
-global_config = {
-    "admin_users": []
-}
+global_config = {"admin_users": []}
--- a/docker/docker-compose.yml
+++ b/docker/docker-compose.yml
@@ -6,6 +6,7 @@ services:
    security_opt:
      - seccomp:unconfined
    environment:
+      TZ: 'Asia/Shanghai'
      OPEN_AI_API_KEY: 'YOUR API KEY'
      MODEL: 'gpt-3.5-turbo'
      PROXY: ''
--- a/docs/images/aigcopen.png
+++ b/docs/images/aigcopen.png
--- a/docs/images/group-chat-sample.jpg
+++ b/docs/images/group-chat-sample.jpg
--- a/docs/images/image-create-sample.jpg
+++ b/docs/images/image-create-sample.jpg
--- a/docs/images/planet.jpg
+++ b/docs/images/planet.jpg
--- a/docs/images/single-chat-sample.jpg
+++ b/docs/images/single-chat-sample.jpg
--- a/docs/version/old-version.md
+++ b/docs/version/old-version.md
@@ -8,6 +8,6 @@

 2023.03.25： 支持插件化开发，目前已实现 多角色切换、文字冒险游戏、管理员指令、Stable Diffusion等插件，使用参考 #578。(contributed by @lanvent in #565)

-2023.03.09： 基于 whisper API(后续已接入更多的语音API服务) 实现对微信语音消息的解析和回复，添加配置项 "speech_recognition":true 即可启用，使用参考 #415。(contributed by wanggang1987 in #385)
+2023.03.09： 基于 whisper API(后续已接入更多的语音API服务) 实现对语音消息的解析和回复，添加配置项 "speech_recognition":true 即可启用，使用参考 #415。(contributed by wanggang1987 in #385)

 2023.02.09： 扫码登录存在账号限制风险，请谨慎使用，参考#58
--- a/plugins/agent/README.md
+++ b/plugins/agent/README.md
@@ -0,0 +1,66 @@
+# Agent插件
+
+## 插件说明
+
+基于 [AgentMesh](https://github.com/MinimalFuture/AgentMesh) 多智能体框架实现的Agent插件，可以让机器人快速获得Agent能力，通过自然语言对话来访问 **终端、浏览器、文件系统、搜索引擎** 等各类工具。
+同时还支持通过 **多智能体协作** 来完成复杂任务，例如多智能体任务分发、多智能体问题讨论、协同处理等。
+
+AgentMesh项目地址：https://github.com/MinimalFuture/AgentMesh
+
+## 安装
+
+1. 确保已安装依赖：
+
+```bash
+pip install agentmesh-sdk>=0.1.2
+```
+
+2. 如需使用浏览器工具，还需安装：
+
+```bash
+pip install browser-use>=0.1.40
+playwright install
+```
+
+## 配置
+
+插件配置文件是 `plugins/agent`目录下的 `config.yaml`，包含智能体团队的配置以及工具的配置，可以从模板文件 `config-template.yaml`中复制：
+
+```bash
+cp config-template.yaml config.yaml
+```
+
+说明：
+
+ - `team`配置是默认选中的 agent team
+ - `teams` 下是Agent团队配置，团队的model默认为`gpt-4.1-mini`，可根据需要进行修改，模型对应的 `api_key` 需要在项目根目录的 `config.json` 全局配置中进行配置。例如openai模型需要配置 `open_ai_api_key`
+ - 支持为 `agents` 下面的每个agent添加model字段来设置不同的模型
+
+
+## 使用方法
+
+在对机器人发送的消息中使用 `$agent` 前缀来触发插件，支持以下命令：
+
+- `$agent [task]`: 使用默认团队执行任务 (默认团队可通 config.yaml 中的team配置修改)
+- `$agent teams`: 列出可用的团队
+- `$agent use [team_name] [task]`: 使用指定的团队执行任务
+
+
+### 示例
+
+```bash
+$agent 帮我查看当前目录下有哪些文件夹
+$agent teams
+$agent use software_team 帮我写一个产品预约体验的表单页面
+```
+
+## 工具支持
+
+目前支持多种内置工具，包括但不限于：
+
+- `calculator`: 数学计算工具
+- `current_time`: 获取当前时间
+- `browser`: 浏览器操作工具，注意需安装`browser-use`依赖
+- `google_search`: 搜索引擎，注意需在`config.yaml`中配置 `api_key`
+- `file_save`: 文件保存工具，开启后智能体输出的内容将保存在 `workspace` 目录下
+- `terminal`: 终端命令执行工具
--- a/plugins/agent/init.py
+++ b/plugins/agent/init.py
@@ -0,0 +1,3 @@
+from .agent import AgentPlugin
+
+__all__ = ["AgentPlugin"]
--- a/plugins/agent/agent.py
+++ b/plugins/agent/agent.py
@@ -0,0 +1,282 @@
+import os
+import yaml
+from typing import Dict, List, Optional
+
+from agentmesh import AgentTeam, Agent, LLMModel
+from agentmesh.models import ClaudeModel
+from agentmesh.tools import ToolManager
+from config import conf
+
+import plugins
+from plugins import Plugin, Event, EventContext, EventAction
+from bridge.context import ContextType
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+
+
+@plugins.register(
+    name="agent",
+    desc="Use AgentMesh framework to process tasks with multi-agent teams",
+    version="0.1.0",
+    author="Saboteur7",
+    desire_priority=1,
+)
+class AgentPlugin(Plugin):
+    """Plugin for integrating AgentMesh framework."""
+    
+    def __init__(self):
+        super().__init__()
+        self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
+        self.name = "agent"
+        self.description = "Use AgentMesh framework to process tasks with multi-agent teams"
+        self.config = self._load_config()
+        self.tool_manager = ToolManager()
+        self.tool_manager.load_tools(config_dict=self.config.get("tools"))
+        logger.info("[agent] inited")
+    
+    def _load_config(self) -> Dict:
+        """Load configuration from config.yaml file."""
+        config_path = os.path.join(self.path, "config.yaml")
+        if not os.path.exists(config_path):
+            logger.warning(f"Config file not found at {config_path}")
+            return {}
+            
+        with open(config_path, 'r', encoding='utf-8') as f:
+            return yaml.safe_load(f)
+    
+    def get_help_text(self, verbose=False, **kwargs):
+        """Return help message for the agent plugin."""
+        help_text = "通过AgentMesh实现对终端、浏览器、文件系统、搜索引擎等工具的执行，并支持多智能体协作。"
+        trigger_prefix = conf().get("plugin_trigger_prefix", "$")
+        
+        if not verbose:
+            return help_text
+            
+        teams = self.get_available_teams()
+        teams_str = ", ".join(teams) if teams else "未配置任何团队"
+        
+        help_text += "\n\n使用说明：\n"
+        help_text += f"{trigger_prefix}agent [task] - 使用默认团队执行任务\n"
+        help_text += f"{trigger_prefix}agent teams - 列出可用的团队\n"
+        help_text += f"{trigger_prefix}agent use [team_name] [task] - 使用特定团队执行任务\n\n"
+        help_text += f"可用团队: \n{teams_str}\n\n"
+        help_text += f"示例:\n"
+        help_text += f"{trigger_prefix}agent 帮我查看当前文件夹路径\n"
+        help_text += f"{trigger_prefix}agent use software_team 帮我写一个产品预约体验的表单页面"
+        return help_text
+    
+    def get_available_teams(self) -> List[str]:
+        """Get list of available teams from configuration."""
+        teams_config = self.config.get("teams", {})
+        return list(teams_config.keys())
+
+
+    def create_team_from_config(self, team_name: str) -> Optional[AgentTeam]:
+        """Create a team from configuration."""
+        # Get teams configuration
+        teams_config = self.config.get("teams", {})
+
+        # Check if the specified team exists
+        if team_name not in teams_config:
+            logger.error(f"Team '{team_name}' not found in configuration.")
+            available_teams = list(teams_config.keys())
+            logger.info(f"Available teams: {', '.join(available_teams)}")
+            return None
+
+        # Get team configuration
+        team_config = teams_config[team_name]
+
+        # Get team's model
+        team_model_name = team_config.get("model", "gpt-4.1-mini")
+        team_model = self.create_llm_model(team_model_name)
+
+        # Get team's max_steps (default to 20 if not specified)
+        team_max_steps = team_config.get("max_steps", 20)
+
+        # Create team with the model
+        team = AgentTeam(
+            name=team_name,
+            description=team_config.get("description", ""),
+            rule=team_config.get("rule", ""),
+            model=team_model,
+            max_steps=team_max_steps
+        )
+
+        # Create and add agents to the team
+        agents_config = team_config.get("agents", [])
+        for agent_config in agents_config:
+            # Check if agent has a specific model
+            if agent_config.get("model"):
+                agent_model = self.create_llm_model(agent_config.get("model"))
+            else:
+                agent_model = team_model
+
+            # Get agent's max_steps
+            agent_max_steps = agent_config.get("max_steps")
+
+            agent = Agent(
+                name=agent_config.get("name", ""),
+                system_prompt=agent_config.get("system_prompt", ""),
+                model=agent_model,  # Use agent's model if specified, otherwise will use team's model
+                description=agent_config.get("description", ""),
+                max_steps=agent_max_steps
+            )
+
+            # Add tools to the agent if specified
+            tool_names = agent_config.get("tools", [])
+            for tool_name in tool_names:
+                tool = self.tool_manager.create_tool(tool_name)
+                if tool:
+                    agent.add_tool(tool)
+                else:
+                    if tool_name == "browser":
+                        logger.warning(
+                            "Tool 'Browser' loaded failed, "
+                            "please install the required dependency with: \n"
+                            "'pip install browser-use>=0.1.40' or 'pip install agentmesh-sdk[full]'\n"
+                        )
+                    else:
+                        logger.warning(f"Tool '{tool_name}' not found for agent '{agent.name}'\n")
+
+            # Add agent to team
+            team.add(agent)
+
+        return team
+    
+    def on_handle_context(self, e_context: EventContext):
+        """Handle the message context."""
+        if e_context['context'].type != ContextType.TEXT:
+            return
+        content = e_context['context'].content
+        trigger_prefix = conf().get("plugin_trigger_prefix", "$")
+        
+        if not content.startswith(f"{trigger_prefix}agent "):
+            e_context.action = EventAction.CONTINUE
+            return
+
+        if not self.config:
+            reply = Reply()
+            reply.type = ReplyType.ERROR
+            reply.content = "未找到插件配置，请在 plugins/agent 目录下创建 config.yaml 配置文件，可根据 config-template.yml 模板文件复制"
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            return
+
+        # Extract the actual task
+        task = content[len(f"{trigger_prefix}agent "):].strip()
+        
+        # If task is empty, return help message
+        if not task:
+            reply = Reply()
+            reply.type = ReplyType.TEXT
+            reply.content = self.get_help_text(verbose=True)
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            return
+            
+        # Check if task is asking for available teams
+        if task.lower() in ["teams", "list teams", "show teams"]:
+            teams = self.get_available_teams()
+            reply = Reply()
+            reply.type = ReplyType.TEXT
+            
+            if not teams:
+                reply.content = "未配置任何团队。请检查 config.yaml 文件。"
+            else:
+                reply.content = f"可用团队: {', '.join(teams)}"
+                
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            return
+        
+        # Check if task specifies a team
+        team_name = None
+        if task.startswith("use "):
+            parts = task[4:].split(" ", 1)
+            if len(parts) > 0:
+                team_name = parts[0]
+                if len(parts) > 1:
+                    task = parts[1].strip()
+                else:
+                    reply = Reply()
+                    reply.type = ReplyType.TEXT
+                    reply.content = f"已选择团队 '{team_name}'。请输入您想执行的任务。"
+                    e_context['reply'] = reply
+                    e_context.action = EventAction.BREAK_PASS
+                    return
+        if not team_name:
+            team_name = self.config.get("team")
+
+        # If no team specified, use default or first available
+        if not team_name:
+            teams = self.configself.get_available_teams()
+            if not teams:
+                reply = Reply()
+                reply.type = ReplyType.TEXT
+                reply.content = "未配置任何团队。请检查 config.yaml 文件。"
+                e_context['reply'] = reply
+                e_context.action = EventAction.BREAK_PASS
+                return
+            team_name = teams[0]
+            
+        # Create team
+        team = self.create_team_from_config(team_name)
+        if not team:
+            reply = Reply()
+            reply.type = ReplyType.TEXT
+            reply.content = f"创建团队 '{team_name}' 失败。请检查配置。"
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            return
+        
+        # Run the task
+        try:
+            logger.info(f"[agent] Running task '{task}' with team '{team_name}', team_model={team.model.model}")
+            result = team.run_async(task=task)
+            for agent_result in result:
+                res_text = f"🤖 {agent_result.get('agent_name')}\n\n{agent_result.get('final_answer')}"
+                _send_text(e_context, content=res_text)
+            
+            reply = Reply()
+            reply.type = ReplyType.TEXT
+            reply.content = ""
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+            
+        except Exception as e:
+            logger.exception(f"Error running task with team '{team_name}'")
+            
+            reply = Reply()
+            reply.type = ReplyType.ERROR
+            reply.content = f"执行任务时出错: {str(e)}"
+            e_context['reply'] = reply
+            e_context.action = EventAction.BREAK_PASS
+        return
+
+    def create_llm_model(self, model_name) -> LLMModel:
+        if conf().get("use_linkai"):
+            api_base = "https://api.link-ai.tech/v1"
+            api_key = conf().get("linkai_api_key")
+        elif model_name.startswith(("gpt", "text-davinci", "o1", "o3")):
+            api_base = conf().get("open_ai_api_base") or "https://api.openai.com/v1"
+            api_key = conf().get("open_ai_api_key")
+        elif model_name.startswith("claude"):
+            return ClaudeModel(model=model_name, api_key=conf().get("claude_api_key"))
+        elif model_name.startswith("moonshot"):
+            api_base = "https://api.moonshot.cn/v1"
+            api_key = conf().get("moonshot_api_key")
+        elif model_name.startswith("qwen"):
+            api_base = "https://dashscope.aliyuncs.com/compatible-mode/v1"
+            api_key = conf().get("dashscope_api_key")
+        else:
+            api_base = conf().get("open_ai_api_base") or "https://api.openai.com/v1"
+            api_key = conf().get("open_ai_api_key")
+
+        llm_model = LLMModel(model=model_name, api_key=api_key, api_base=api_base)
+        return llm_model
+
+
+def _send_text(e_context: EventContext, content: str):
+    reply = Reply(ReplyType.TEXT, content)
+    channel = e_context["channel"]
+    channel.send(reply, e_context["context"])
--- a/plugins/agent/config-template.yaml
+++ b/plugins/agent/config-template.yaml
@@ -0,0 +1,52 @@
+# 默认选中的Agent Team名称
+team: general_team
+
+tools:
+  google_search:
+    # get your apikey from https://serper.dev/
+    api_key: "YOUR API KEY"
+
+# Agent Team 配置
+teams:
+  # 通用智能体团队
+  general_team:
+    model: "gpt-4.1-mini"        # 团队使用的模型
+    description: "A versatile research and information agent team"
+    max_steps: 5
+    agents:
+      - name: "通用智能助手"
+        description: "Universal assistant specializing in research, information synthesis, and task execution"
+        system_prompt: "You are a versatile assistant who answers questions and completes tasks using available tools. Reply in a clearly structured, attractive and easy to read format."
+        # Agent 支持使用的工具
+        tools:
+          - time
+          - calculator
+          - google_search
+          - browser
+          - terminal
+
+  # 软件开发智能体团队
+  software_team:
+    model: "gpt-4.1-mini"
+    description: "A software development team with product manager, developer and tester."
+    rule: "A normal R&D process should be that Product Manager writes PRD, Developer writes code based on PRD, and Finally, Tester performs testing."
+    max_steps: 10
+    agents:
+      - name: "Product-Manager"
+        description: "Responsible for product requirements and documentation"
+        system_prompt: "You are an experienced product manager who creates concise PRDs, focusing on user needs and feature specifications. You always format your responses in Markdown."
+        tools:
+          - time
+          - file_save
+      - name: "Developer"
+        description: "Implements code based on PRD"
+        system_prompt: "You are a skilled developer. When developing web application, you creates single-page website based on user needs, you deliver HTML files with embedded JavaScript and CSS that are visually appealing, responsive, and user-friendly, featuring a grand layout and beautiful background. The HTML, CSS, and JavaScript code should be well-structured and effectively organized."
+        tools:
+          - file_save
+      - name: "Tester"
+        description: "Tests code and verifies functionality"
+        system_prompt: "You are a tester who validates code against requirements. For HTML applications, use browser tools to test functionality. For Python or other client-side applications, use the terminal tool to run and test. You only need to test a few core cases."
+        tools:
+          - file_save
+          - browser
+          - terminal
--- a/plugins/config.json.template
+++ b/plugins/config.json.template
@@ -10,9 +10,7 @@
    },
    "tool": {
        "tools": [
-            "python",
            "url-get",
-            "terminal",
            "meteo-weather"
        ],
        "kwargs": {
@@ -40,5 +38,22 @@
            "max_file_size": 5000,
            "type": ["FILE", "SHARING"]
        }
+    },
+    "hello": {
+        "group_welc_fixed_msg": {
+            "群聊1": "群聊1的固定欢迎语",
+            "群聊2": "群聊2的固定欢迎语"
+        },
+        "group_welc_prompt": "请你随机使用一种风格说一句问候语来欢迎新用户\"{nickname}\"加入群聊。",
+
+        "group_exit_prompt": "请你随机使用一种风格跟其他群用户说他违反规则\"{nickname}\"退出群聊。",
+
+        "patpat_prompt": "请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。",
+
+        "use_character_desc": false
+    },
+    "Apilot": {
+        "alapi_token": "xxx",
+        "morning_news_text_enabled": false
    }
 }
--- a/plugins/godcmd/godcmd.py
+++ b/plugins/godcmd/godcmd.py
@@ -155,7 +155,7 @@ def get_help_text(isadmin, isgroup):
    for plugin in plugins:
        if plugins[plugin].enabled and not plugins[plugin].hidden:
            namecn = plugins[plugin].namecn
-            help_text += "\n%s:" % namecn
+            help_text += "\n%s: " % namecn
            help_text += PluginManager().instances[plugin].get_help_text(verbose=False).strip()

    if ADMIN_COMMANDS and isadmin:
@@ -313,7 +313,7 @@ class Godcmd(Plugin):
                    except Exception as e:
                        ok, result = False, "你没有设置私有GPT模型"
                elif cmd == "reset":
-                    if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI, const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI, const.ZHIPU_AI]:
+                    if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI, const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI, const.ZHIPU_AI, const.CLAUDEAPI]:
                        bot.sessions.clear_session(session_id)
                        if Bridge().chat_bots.get(bottype):
                            Bridge().chat_bots.get(bottype).sessions.clear_session(session_id)
@@ -339,7 +339,8 @@ class Godcmd(Plugin):
                            ok, result = True, "配置已重载"
                        elif cmd == "resetall":
                            if bottype in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI,
-                                           const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI, const.ZHIPU_AI, const.MOONSHOT]:
+                                           const.BAIDU, const.XUNFEI, const.QWEN, const.GEMINI, const.ZHIPU_AI, const.MOONSHOT,
+                                           const.MODELSCOPE]:
                                channel.cancel_all_session()
                                bot.sessions.clear_all_session()
                                ok, result = True, "重置所有会话成功"
@@ -477,7 +478,7 @@ class Godcmd(Plugin):
        return model

    def reload(self):
-        gconf = plugin_config[self.name]
+        gconf = pconf(self.name)
        if gconf:
            if gconf.get("password"):
                self.password = gconf["password"]
--- a/plugins/hello/README.md
+++ b/plugins/hello/README.md
@@ -0,0 +1,41 @@
+## 插件说明
+
+可以根据需求设置入群欢迎、群聊拍一拍、退群等消息的自定义提示词，也支持为每个群设置对应的固定欢迎语。
+
+该插件也是用户根据需求开发自定义插件的示例插件，参考[插件开发说明](https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins)
+
+## 插件配置
+
+将 `plugins/hello` 目录下的 `config.json.template` 配置模板复制为最终生效的 `config.json`。 (如果未配置则会默认使用`config.json.template`模板中配置)。
+
+以下是插件配置项说明：
+
+```bash
+{
+    "group_welc_fixed_msg": {                   ## 这里可以为特定群里配置特定的固定欢迎语
+      "群聊1": "群聊1的固定欢迎语",
+      "群聊2": "群聊2的固定欢迎语"
+    },
+
+  "group_welc_prompt": "请你随机使用一种风格说一句问候语来欢迎新用户\"{nickname}\"加入群聊。",  ## 群聊随机欢迎语的提示词
+
+  "group_exit_prompt": "请你随机使用一种风格跟其他群用户说他违反规则\"{nickname}\"退出群聊。",  ## 移出群聊的提示词
+
+  "patpat_prompt": "请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。",  ## 群内拍一拍的提示词
+ 
+  "use_character_desc": false     ## 是否在Hello插件中使用LinkAI应用的系统设定
+}
+```
+
+
+注意：
+
+ - 设置全局的用户进群固定欢迎语，可以在***项目根目录下***的`config.json`文件里，可以添加参数`"group_welcome_msg": "" `，参考 [#1482](https://github.com/zhayujie/chatgpt-on-wechat/pull/1482)
+ - 为每个群设置固定的欢迎语，可以在`"group_welc_fixed_msg": {}`配置群聊名和对应的固定欢迎语，优先级高于全局固定欢迎语
+ - 如果没有配置以上两个参数，则使用随机欢迎语，如需设定风格，语言等，修改`"group_welc_prompt": `即可
+ - 如果使用LinkAI的服务，想在随机欢迎中结合LinkAI应用的设定，配置`"use_character_desc": true `
+ - 实际 `config.json` 配置中应保证json格式，不应携带 '#' 及后面的注释
+ - 如果是`docker`部署，可通过映射 `plugins/config.json` 到容器中来完成插件配置，参考[文档](https://github.com/zhayujie/chatgpt-on-wechat#3-%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)
+
+
+
--- a/plugins/hello/config.json.template
+++ b/plugins/hello/config.json.template
@@ -0,0 +1,14 @@
+{
+    "group_welc_fixed_msg": {
+      "群聊1": "群聊1的固定欢迎语",
+      "群聊2": "群聊2的固定欢迎语"
+    },
+
+  "group_welc_prompt": "请你随机使用一种风格说一句问候语来欢迎新用户\"{nickname}\"加入群聊。",
+
+  "group_exit_prompt": "请你随机使用一种风格跟其他群用户说他违反规则\"{nickname}\"退出群聊。",
+
+  "patpat_prompt": "请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。",
+
+  "use_character_desc": false
+}
--- a/plugins/hello/hello.py
+++ b/plugins/hello/hello.py
@@ -17,12 +17,29 @@ from config import conf
    version="0.1",
    author="lanvent",
 )
+
+
 class Hello(Plugin):
+
+    group_welc_prompt = "请你随机使用一种风格说一句问候语来欢迎新用户\"{nickname}\"加入群聊。"
+    group_exit_prompt = "请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。"
+    patpat_prompt = "请你随机使用一种风格跟其他群用户说他违反规则\"{nickname}\"退出群聊。"
+
    def __init__(self):
        super().__init__()
-        self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
-        logger.info("[Hello] inited")
-        self.config = super().load_config()
+        try:
+            self.config = super().load_config()
+            if not self.config:
+                self.config = self._load_config_template()
+            self.group_welc_fixed_msg = self.config.get("group_welc_fixed_msg", {})
+            self.group_welc_prompt = self.config.get("group_welc_prompt", self.group_welc_prompt)
+            self.group_exit_prompt = self.config.get("group_exit_prompt", self.group_exit_prompt)
+            self.patpat_prompt = self.config.get("patpat_prompt", self.patpat_prompt)
+            logger.info("[Hello] inited")
+            self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
+        except Exception as e:
+            logger.error(f"[Hello]初始化异常：{e}")
+            raise "[Hello] init failed, ignore "

    def on_handle_context(self, e_context: EventContext):
        if e_context["context"].type not in [
@@ -32,17 +49,21 @@ class Hello(Plugin):
            ContextType.EXIT_GROUP
        ]:
            return
+        msg: ChatMessage = e_context["context"]["msg"]
+        group_name = msg.from_user_nickname
        if e_context["context"].type == ContextType.JOIN_GROUP:
-            if "group_welcome_msg" in conf():
+            if "group_welcome_msg" in conf() or group_name in self.group_welc_fixed_msg:
                reply = Reply()
                reply.type = ReplyType.TEXT
-                reply.content = conf().get("group_welcome_msg", "")
+                if group_name in self.group_welc_fixed_msg:
+                    reply.content = self.group_welc_fixed_msg.get(group_name, "")
+                else:
+                    reply.content = conf().get("group_welcome_msg", "")
                e_context["reply"] = reply
                e_context.action = EventAction.BREAK_PASS  # 事件结束，并跳过处理context的默认逻辑
                return
            e_context["context"].type = ContextType.TEXT
-            msg: ChatMessage = e_context["context"]["msg"]
-            e_context["context"].content = f'请你随机使用一种风格说一句问候语来欢迎新用户"{msg.actual_user_nickname}"加入群聊。'
+            e_context["context"].content = self.group_welc_prompt.format(nickname=msg.actual_user_nickname)
            e_context.action = EventAction.BREAK  # 事件结束，进入默认处理逻辑
            if not self.config or not self.config.get("use_character_desc"):
                e_context["context"]["generate_breaked_by"] = EventAction.BREAK
@@ -51,8 +72,7 @@ class Hello(Plugin):
        if e_context["context"].type == ContextType.EXIT_GROUP:
            if conf().get("group_chat_exit_group"):
                e_context["context"].type = ContextType.TEXT
-                msg: ChatMessage = e_context["context"]["msg"]
-                e_context["context"].content = f'请你随机使用一种风格跟其他群用户说他违反规则"{msg.actual_user_nickname}"退出群聊。'
+                e_context["context"].content = self.group_exit_prompt.format(nickname=msg.actual_user_nickname)
                e_context.action = EventAction.BREAK  # 事件结束，进入默认处理逻辑
                return
            e_context.action = EventAction.BREAK
@@ -60,8 +80,7 @@ class Hello(Plugin):
            
        if e_context["context"].type == ContextType.PATPAT:
            e_context["context"].type = ContextType.TEXT
-            msg: ChatMessage = e_context["context"]["msg"]
-            e_context["context"].content = f"请你随机使用一种风格介绍你自己，并告诉用户输入#help可以查看帮助信息。"
+            e_context["context"].content = self.patpat_prompt
            e_context.action = EventAction.BREAK  # 事件结束，进入默认处理逻辑
            if not self.config or not self.config.get("use_character_desc"):
                e_context["context"]["generate_breaked_by"] = EventAction.BREAK
@@ -72,7 +91,6 @@ class Hello(Plugin):
        if content == "Hello":
            reply = Reply()
            reply.type = ReplyType.TEXT
-            msg: ChatMessage = e_context["context"]["msg"]
            if e_context["context"]["isgroup"]:
                reply.content = f"Hello, {msg.actual_user_nickname} from {msg.from_user_nickname}"
            else:
@@ -96,3 +114,14 @@ class Hello(Plugin):
    def get_help_text(self, **kwargs):
        help_text = "输入Hello，我会回复你的名字\n输入End，我会回复你世界的图片\n"
        return help_text
+
+    def _load_config_template(self):
+        logger.debug("No Hello plugin config.json, use plugins/hello/config.json.template")
+        try:
+            plugin_config_path = os.path.join(self.path, "config.json.template")
+            if os.path.exists(plugin_config_path):
+                with open(plugin_config_path, "r", encoding="utf-8") as f:
+                    plugin_conf = json.load(f)
+                    return plugin_conf
+        except Exception as e:
+            logger.exception(e)
--- a/plugins/keyword/keyword.py
+++ b/plugins/keyword/keyword.py
@@ -55,7 +55,7 @@ class Keyword(Plugin):
            reply_text = self.keyword[content]

            # 判断匹配内容的类型
-            if (reply_text.startswith("http://") or reply_text.startswith("https://")) and any(reply_text.endswith(ext) for ext in [".jpg", ".jpeg", ".png", ".gif", ".img"]):
+            if (reply_text.startswith("http://") or reply_text.startswith("https://")) and any(reply_text.endswith(ext) for ext in [".jpg", ".webp", ".jpeg", ".png", ".gif", ".img"]):
            # 如果是以 http:// 或 https:// 开头，且".jpg", ".jpeg", ".png", ".gif", ".img"结尾，则认为是图片 URL。
                reply = Reply()
                reply.type = ReplyType.IMAGE_URL
--- a/plugins/linkai/README.md
+++ b/plugins/linkai/README.md
@@ -98,6 +98,8 @@

 如果不想创建 `plugins/linkai/config.json` 配置，可以直接通过 `$linkai sum open` 指令开启该功能。

+也可以通过私聊(全局 `config.json` 中的 `linkai_app_code`)或者群聊绑定(通过`group_app_map`参数配置)的应用来开启该功能：在LinkAI平台 [应用配置](https://link-ai.tech/console/factory) 里添加并开启**内容总结**插件。
+
 #### 使用

 功能开启后，向机器人发送 **文件**、 **分享链接卡片**、**图片** 即可生成摘要，进一步可以与文件或链接的内容进行多轮对话。如果需要关闭某种类型的内容总结，设置 `summary`配置中的type字段即可。
--- a/plugins/linkai/linkai.py
+++ b/plugins/linkai/linkai.py
@@ -9,6 +9,8 @@ from common.expired_dict import ExpiredDict
 from common import const
 import os
 from .utils import Util
+from config import plugin_config, conf
+

@plugins.register(
    name="linkai",
@@ -26,13 +28,12 @@ class LinkAI(Plugin):
            # 未加载到配置，使用模板中的配置
            self.config = self._load_config_template()
        if self.config:
-            self.mj_bot = MJBot(self.config.get("midjourney"))
+            self.mj_bot = MJBot(self.config.get("midjourney"), self._fetch_group_app_code)
        self.sum_config = {}
        if self.config:
            self.sum_config = self.config.get("summary")
        logger.info(f"[LinkAI] inited, config={self.config}")

-
    def on_handle_context(self, e_context: EventContext):
        """
        消息处理逻辑
@@ -42,7 +43,8 @@ class LinkAI(Plugin):
            return

        context = e_context['context']
-        if context.type not in [ContextType.TEXT, ContextType.IMAGE, ContextType.IMAGE_CREATE, ContextType.FILE, ContextType.SHARING]:
+        if context.type not in [ContextType.TEXT, ContextType.IMAGE, ContextType.IMAGE_CREATE, ContextType.FILE,
+                                ContextType.SHARING]:
            # filter content no need solve
            return

@@ -54,7 +56,8 @@ class LinkAI(Plugin):
                return
            if context.type != ContextType.IMAGE:
                _send_info(e_context, "正在为你加速生成摘要，请稍后")
-            res = LinkSummary().summary_file(file_path)
+            app_code = self._fetch_app_code(context)
+            res = LinkSummary().summary_file(file_path, app_code)
            if not res:
                if context.type != ContextType.IMAGE:
                    _set_reply_text("因为神秘力量无法获取内容，请稍后再试吧", e_context, level=ReplyType.TEXT)
@@ -68,15 +71,17 @@ class LinkAI(Plugin):
            return

        if (context.type == ContextType.SHARING and self._is_summary_open(context)) or \
-                (context.type == ContextType.TEXT and LinkSummary().check_url(context.content)):
+                (context.type == ContextType.TEXT and self._is_summary_open(context) and LinkSummary().check_url(context.content)):
            if not LinkSummary().check_url(context.content):
                return
            _send_info(e_context, "正在为你加速生成摘要，请稍后")
-            res = LinkSummary().summary_url(context.content)
+            app_code = self._fetch_app_code(context)
+            res = LinkSummary().summary_url(context.content, app_code)
            if not res:
                _set_reply_text("因为神秘力量无法获取文章内容，请稍后再试吧~", e_context, level=ReplyType.TEXT)
                return
-            _set_reply_text(res.get("summary") + "\n\n💬 发送 \"开启对话\" 可以开启与文章内容的对话", e_context, level=ReplyType.TEXT)
+            _set_reply_text(res.get("summary") + "\n\n💬 发送 \"开启对话\" 可以开启与文章内容的对话", e_context,
+                            level=ReplyType.TEXT)
            USER_FILE_MAP[_find_user_id(context) + "-sum_id"] = res.get("summary_id")
            return

@@ -99,7 +104,8 @@ class LinkAI(Plugin):
                _set_reply_text("开启对话失败，请稍后再试吧", e_context)
                return
            USER_FILE_MAP[_find_user_id(context) + "-file_id"] = res.get("file_id")
-            _set_reply_text("💡你可以问我关于这篇文章的任何问题，例如：\n\n" + res.get("questions") + "\n\n发送 \"退出对话\" 可以关闭与文章的对话", e_context, level=ReplyType.TEXT)
+            _set_reply_text("💡你可以问我关于这篇文章的任何问题，例如：\n\n" + res.get(
+                "questions") + "\n\n发送 \"退出对话\" 可以关闭与文章的对话", e_context, level=ReplyType.TEXT)
            return

        if context.type == ContextType.TEXT and context.content == "退出对话" and _find_file_id(context):
@@ -117,12 +123,10 @@ class LinkAI(Plugin):
            e_context.action = EventAction.BREAK_PASS
            return

-
        if self._is_chat_task(e_context):
            # 文本对话任务处理
            self._process_chat_task(e_context)

-
    # 插件管理功能
    def _process_admin_cmd(self, e_context: EventContext):
        context = e_context['context']
@@ -167,7 +171,7 @@ class LinkAI(Plugin):
            return

        if len(cmd) == 3 and cmd[1] == "sum" and (cmd[2] == "open" or cmd[2] == "close"):
-            # 知识库开关指令
+            # 总结对话开关指令
            if not Util.is_admin(e_context):
                _set_reply_text("需要管理员权限执行", e_context, level=ReplyType.ERROR)
                return
@@ -177,7 +181,9 @@ class LinkAI(Plugin):
                tips_text = "关闭"
                is_open = False
            if not self.sum_config:
-                _set_reply_text(f"插件未启用summary功能，请参考以下链添加插件配置\n\nhttps://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/linkai/README.md", e_context, level=ReplyType.INFO)
+                _set_reply_text(
+                    f"插件未启用summary功能，请参考以下链添加插件配置\n\nhttps://github.com/zhayujie/chatgpt-on-wechat/blob/master/plugins/linkai/README.md",
+                    e_context, level=ReplyType.INFO)
            else:
                self.sum_config["enabled"] = is_open
                _set_reply_text(f"文章总结功能{tips_text}", e_context, level=ReplyType.INFO)
@@ -188,14 +194,36 @@ class LinkAI(Plugin):
        return

    def _is_summary_open(self, context) -> bool:
-        if not self.sum_config or not self.sum_config.get("enabled"):
-            return False
-        if context.kwargs.get("isgroup") and not self.sum_config.get("group_enabled"):
-            return False
-        support_type = self.sum_config.get("type") or ["FILE", "SHARING"]
-        if context.type.name not in support_type:
-            return False
-        return True
+        # 获取远程应用插件状态
+        remote_enabled = False
+        if context.kwargs.get("isgroup"):
+            # 群聊场景只查询群对应的app_code
+            group_name = context.get("msg").from_user_nickname
+            app_code = self._fetch_group_app_code(group_name)
+            if app_code:
+                if context.type.name in ["FILE", "SHARING"]:
+                    remote_enabled = Util.fetch_app_plugin(app_code, "内容总结")
+        else:
+            # 非群聊场景使用全局app_code
+            app_code = conf().get("linkai_app_code")
+            if app_code:
+                if context.type.name in ["FILE", "SHARING"]:
+                    remote_enabled = Util.fetch_app_plugin(app_code, "内容总结")
+
+        # 基础条件：总开关开启且消息类型符合要求
+        base_enabled = (
+                self.sum_config
+                and self.sum_config.get("enabled")
+                and (context.type.name in (
+                    self.sum_config.get("type") or ["FILE", "SHARING"]) or context.type.name == "TEXT")
+        )
+
+        # 群聊：需要满足(总开关和群开关)或远程插件开启
+        if context.kwargs.get("isgroup"):
+            return (base_enabled and self.sum_config.get("group_enabled")) or remote_enabled
+
+        # 非群聊：只需要满足总开关或远程插件开启
+        return base_enabled or remote_enabled

    # LinkAI 对话任务处理
    def _is_chat_task(self, e_context: EventContext):
@@ -226,6 +254,19 @@ class LinkAI(Plugin):
            app_code = group_mapping.get(group_name) or group_mapping.get("ALL_GROUP")
            return app_code

+    def _fetch_app_code(self, context) -> str:
+        """
+        根据主配置或者群聊名称获取对应的应用code,优先获取群聊配置的应用code
+        :param context: 上下文
+        :return: 应用code
+        """
+        app_code = conf().get("linkai_app_code")
+        if context.kwargs.get("isgroup"):
+            # 群聊场景只查询群对应的app_code
+            group_name = context.get("msg").from_user_nickname
+            app_code = self._fetch_group_app_code(group_name)
+        return app_code
+
    def get_help_text(self, verbose=False, **kwargs):
        trigger_prefix = _get_trigger_prefix()
        help_text = "用于集成 LinkAI 提供的知识库、Midjourney绘画、文档总结、联网搜索等能力。\n\n"
@@ -250,10 +291,14 @@ class LinkAI(Plugin):
                    plugin_conf = json.load(f)
                    plugin_conf["midjourney"]["enabled"] = False
                    plugin_conf["summary"]["enabled"] = False
+                    write_plugin_config({"linkai": plugin_conf})
                    return plugin_conf
        except Exception as e:
            logger.exception(e)

+    def reload(self):
+        self.config = super().load_config()
+

 def _send_info(e_context: EventContext, content: str):
    reply = Reply(ReplyType.TEXT, content)
@@ -273,15 +318,19 @@ def _set_reply_text(content: str, e_context: EventContext, level: ReplyType = Re
    e_context["reply"] = reply
    e_context.action = EventAction.BREAK_PASS

+
 def _get_trigger_prefix():
    return conf().get("plugin_trigger_prefix", "$")

+
 def _find_sum_id(context):
    return USER_FILE_MAP.get(_find_user_id(context) + "-sum_id")

+
 def _find_file_id(context):
    user_id = _find_user_id(context)
    if user_id:
        return USER_FILE_MAP.get(user_id + "-file_id")

+
 USER_FILE_MAP = ExpiredDict(conf().get("expires_in_seconds") or 60 * 30)
--- a/plugins/linkai/midjourney.py
+++ b/plugins/linkai/midjourney.py
@@ -10,6 +10,7 @@ from bridge.context import ContextType
 from plugins import EventContext, EventAction
 from .utils import Util

+
 INVALID_REQUEST = 410
 NOT_FOUND_ORIGIN_IMAGE = 461
 NOT_FOUND_TASK = 462
@@ -67,10 +68,11 @@ class MJTask:

 # midjourney bot
 class MJBot:
-    def __init__(self, config):
-        self.base_url = conf().get("linkai_api_base", "https://api.link-ai.chat") + "/v1/img/midjourney"
+    def __init__(self, config, fetch_group_app_code):
+        self.base_url = conf().get("linkai_api_base", "https://api.link-ai.tech") + "/v1/img/midjourney"
        self.headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
        self.config = config
+        self.fetch_group_app_code = fetch_group_app_code
        self.tasks = {}
        self.temp_dict = {}
        self.tasks_lock = threading.Lock()
@@ -98,7 +100,7 @@ class MJBot:
                return TaskType.VARIATION
            elif cmd_list[0].lower() == f"{trigger_prefix}mjr":
                return TaskType.RESET
-        elif context.type == ContextType.IMAGE_CREATE and self.config.get("use_image_create_prefix") and self.config.get("enabled"):
+        elif context.type == ContextType.IMAGE_CREATE and self.config.get("use_image_create_prefix") and self._is_mj_open(context):
            return TaskType.GENERATE

    def process_mj_task(self, mj_type: TaskType, e_context: EventContext):
@@ -129,8 +131,8 @@ class MJBot:
            self._set_reply_text(f"Midjourney绘画已{tips_text}", e_context, level=ReplyType.INFO)
            return

-        if not self.config.get("enabled"):
-            logger.warn("Midjourney绘画未开启，请查看 plugins/linkai/config.json 中的配置")
+        if not self._is_mj_open(context):
+            logger.warn("Midjourney绘画未开启，请查看 plugins/linkai/config.json 中的配置，或者在LinkAI平台 应用中添加/打开”MJ“插件")
            self._set_reply_text(f"Midjourney绘画未开启", e_context, level=ReplyType.INFO)
            return

@@ -409,6 +411,25 @@ class MJBot:
                    result.append(task)
        return result

+    def _is_mj_open(self, context) -> bool:
+        # 获取远程应用插件状态
+        remote_enabled = False
+        if context.kwargs.get("isgroup"):
+            # 群聊场景只查询群对应的app_code
+            group_name = context.get("msg").from_user_nickname
+            app_code = self.fetch_group_app_code(group_name)
+            if app_code:
+                remote_enabled = Util.fetch_app_plugin(app_code, "Midjourney")
+        else:
+            # 非群聊场景使用全局app_code
+            app_code = conf().get("linkai_app_code")
+            if app_code:
+                remote_enabled = Util.fetch_app_plugin(app_code, "Midjourney")
+
+        # 本地配置
+        base_enabled = self.config.get("enabled")
+
+        return base_enabled or remote_enabled

 def _send(channel, reply: Reply, context, retry_cnt=0):
    try:
--- a/plugins/linkai/summary.py
+++ b/plugins/linkai/summary.py
@@ -2,25 +2,33 @@ import requests
 from config import conf
 from common.log import logger
 import os
+import html


 class LinkSummary:
    def __init__(self):
        pass

-    def summary_file(self, file_path: str):
+    def summary_file(self, file_path: str, app_code: str):
        file_body = {
            "file": open(file_path, "rb"),
-            "name": file_path.split("/")[-1],
+            "name": file_path.split("/")[-1]
+        }
+        body = {
+            "app_code": app_code
        }
        url = self.base_url() + "/v1/summary/file"
-        res = requests.post(url, headers=self.headers(), files=file_body, timeout=(5, 300))
+        logger.info(f"[LinkSum] file summary, app_code={app_code}")
+        res = requests.post(url, headers=self.headers(), files=file_body, data=body, timeout=(5, 300))
        return self._parse_summary_res(res)

-    def summary_url(self, url: str):
+    def summary_url(self, url: str, app_code: str):
+        url = html.unescape(url)
        body = {
-            "url": url
+            "url": url,
+            "app_code": app_code
        }
+        logger.info(f"[LinkSum] url summary, app_code={app_code}")
        res = requests.post(url=self.base_url() + "/v1/summary/url", headers=self.headers(), json=body, timeout=(5, 180))
        return self._parse_summary_res(res)

@@ -46,7 +54,7 @@ class LinkSummary:
    def _parse_summary_res(self, res):
        if res.status_code == 200:
            res = res.json()
-            logger.debug(f"[LinkSum] url summary, res={res}")
+            logger.debug(f"[LinkSum] summary result, res={res}")
            if res.get("code") == 200:
                data = res.get("data")
                return {
@@ -59,7 +67,7 @@ class LinkSummary:
            return None

    def base_url(self):
-        return conf().get("linkai_api_base", "https://api.link-ai.chat")
+        return conf().get("linkai_api_base", "https://api.link-ai.tech")

    def headers(self):
        return {"Authorization": "Bearer " + conf().get("linkai_api_key")}
--- a/plugins/linkai/utils.py
+++ b/plugins/linkai/utils.py
@@ -1,7 +1,9 @@
+import requests
+from common.log import logger
 from config import global_config
 from bridge.reply import Reply, ReplyType
 from plugins.event import EventContext, EventAction
-
+from config import conf

 class Util:
    @staticmethod
@@ -26,3 +28,23 @@ class Util:
        reply = Reply(level, content)
        e_context["reply"] = reply
        e_context.action = EventAction.BREAK_PASS
+
+    @staticmethod
+    def fetch_app_plugin(app_code: str, plugin_name: str) -> bool:
+        try:
+            headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
+            # do http request
+            base_url = conf().get("linkai_api_base", "https://api.link-ai.tech")
+            params = {"app_code": app_code}
+            res = requests.get(url=base_url + "/v1/app/info", params=params, headers=headers, timeout=(5, 10))
+            if res.status_code == 200:
+                plugins = res.json().get("data").get("plugins")
+                for plugin in plugins:
+                    if plugin.get("name") and plugin.get("name") == plugin_name:
+                        return True
+                return False
+            else:
+                logger.warning(f"[LinkAI] find app info exception, res={res}")
+                return False
+        except Exception as e:
+            return False
--- a/plugins/plugin.py
+++ b/plugins/plugin.py
@@ -1,6 +1,6 @@
 import os
 import json
-from config import pconf, plugin_config, conf
+from config import pconf, plugin_config, conf, write_plugin_config
 from common.log import logger


@@ -18,18 +18,19 @@ class Plugin:
        if not plugin_conf:
            # 全局配置不存在，则获取插件目录下的配置
            plugin_config_path = os.path.join(self.path, "config.json")
+            logger.debug(f"loading plugin config, plugin_config_path={plugin_config_path}, exist={os.path.exists(plugin_config_path)}")
            if os.path.exists(plugin_config_path):
                with open(plugin_config_path, "r", encoding="utf-8") as f:
                    plugin_conf = json.load(f)

                # 写入全局配置内存
-                plugin_config[self.name] = plugin_conf
+                write_plugin_config({self.name: plugin_conf})
        logger.debug(f"loading plugin config, plugin_name={self.name}, conf={plugin_conf}")
        return plugin_conf

    def save_config(self, config: dict):
        try:
-            plugin_config[self.name] = config
+            write_plugin_config({self.name: config})
            # 写入全局配置
            global_config_path = "./plugins/config.json"
            if os.path.exists(global_config_path):
--- a/plugins/plugin_manager.py
+++ b/plugins/plugin_manager.py
@@ -9,7 +9,7 @@ import sys
 from common.log import logger
 from common.singleton import singleton
 from common.sorted_dict import SortedDict
-from config import conf, write_plugin_config
+from config import conf, remove_plugin_config, write_plugin_config

 from .event import *

@@ -151,6 +151,8 @@ class PluginManager:
                    self.disable_plugin(name)
                    failed_plugins.append(name)
                    continue
+                if name in self.instances:
+                    self.instances[name].handlers.clear()
                self.instances[name] = instance
                for event in instance.handlers:
                    if event not in self.listening_plugins:
@@ -161,10 +163,13 @@ class PluginManager:

    def reload_plugin(self, name: str):
        name = name.upper()
+        remove_plugin_config(name)
        if name in self.instances:
            for event in self.listening_plugins:
                if name in self.listening_plugins[event]:
                    self.listening_plugins[event].remove(name)
+            if name in self.instances:
+                self.instances[name].handlers.clear()
            del self.instances[name]
            self.activate_plugins()
            return True
--- a/plugins/role/role.py
+++ b/plugins/role/role.py
@@ -99,7 +99,8 @@ class Role(Plugin):
        if e_context["context"].type != ContextType.TEXT:
            return
        btype = Bridge().get_bot_type("chat")
-        if btype not in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI]:
+        if btype not in [const.OPEN_AI, const.CHATGPT, const.CHATGPTONAZURE, const.QWEN_DASHSCOPE, const.XUNFEI, const.BAIDU, const.ZHIPU_AI, const.MOONSHOT, const.MiniMax, const.LINKAI,const.MODELSCOPE]:
+            logger.debug(f'不支持的bot: {btype}')
            return
        bot = Bridge().get_bot("chat")
        content = e_context["context"].content[:]
@@ -179,6 +180,7 @@ class Role(Plugin):
            e_context["reply"] = reply
            e_context.action = EventAction.BREAK_PASS
        else:
+            e_context["context"]["generate_breaked_by"] = EventAction.BREAK
            prompt = self.roleplays[sessionid].action(content)
            e_context["context"].type = ContextType.TEXT
            e_context["context"].content = prompt
--- a/plugins/source.json
+++ b/plugins/source.json
@@ -12,21 +12,29 @@
      "url": "https://github.com/lanvent/plugin_summary.git",
      "desc": "总结聊天记录的插件"
    },
-    "timetask": {
-      "url": "https://github.com/haikerapples/timetask.git",
-      "desc": "一款定时任务系统的插件"
-    },
    "Apilot": {
      "url": "https://github.com/6vision/Apilot.git",
      "desc": "通过api直接查询早报、热榜、快递、天气等实用信息的插件"
    },
    "pictureChange": {
      "url": "https://github.com/Yanyutin753/pictureChange.git",
-      "desc": "利用stable-diffusion和百度Ai进行图生图或者画图的插件"
+      "desc": "1. 支持百度AI和Stable Diffusion WebUI进行图像处理，提供多种模型选择，支持图生图、文生图自定义模板。2. 支持Suno音乐AI可将图像和文字转为音乐。3. 支持自定义模型进行文件、图片总结功能。4. 支持管理员控制群聊内容与参数和功能改变。"
    },
    "Blackroom": {
      "url": "https://github.com/dividduang/blackroom.git",
      "desc": "小黑屋插件，被拉进小黑屋的人将不能使用@bot的功能的插件"
+    },
+    "midjourney": {
+      "url": "https://github.com/baojingyu/midjourney.git",
+      "desc": "利用midjourney实现ai绘图的的插件"
+    },
+    "solitaire": {
+      "url": "https://github.com/Wang-zhechao/solitaire.git",
+      "desc": "机器人微信接龙插件"
+    },
+    "HighSpeedTicket": {
+      "url": "https://github.com/He0607/HighSpeedTicket.git",
+      "desc": "高铁（火车）票查询插件"
    }
  }
 }
--- a/plugins/tool/config.json.template
+++ b/plugins/tool/config.json.template
@@ -1,8 +1,6 @@
 {
  "tools": [
-    "python",
    "url-get",
-    "terminal",
    "meteo"
  ],
  "kwargs": {
--- a/plugins/tool/tool.py
+++ b/plugins/tool/tool.py
@@ -22,11 +22,13 @@ class Tool(Plugin):
    def __init__(self):
        super().__init__()
        self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
-
        self.app = self._reset_app()
-
+        if not self.tool_config.get("tools"):
+            logger.warn("[tool] init failed, ignore ")
+            raise Exception("config.json not found")
        logger.info("[tool] inited")

+
    def get_help_text(self, verbose=False, **kwargs):
        help_text = "这是一个能让chatgpt联网，搜索，数字运算的插件，将赋予强大且丰富的扩展能力。"
        trigger_prefix = conf().get("plugin_trigger_prefix", "$")
--- a/requirements-optional.txt
+++ b/requirements-optional.txt
@@ -10,6 +10,7 @@ azure-cognitiveservices-speech # azure voice
 edge-tts # edge-tts
 numpy<=1.24.2
 langid # language detect
+elevenlabs==1.0.3 # elevenlabs TTS

 #install plugin
 dulwich
@@ -35,11 +36,14 @@ broadscope_bailian
 # google
 google-generativeai

-# linkai
-linkai>=0.0.3.5
-
 # dingtalk
 dingtalk_stream

 # zhipuai
 zhipuai>=2.0.1
+
+# tongyi qwen new sdk
+dashscope
+
+# tencentcloud sdk
+tencentcloud-sdk-python>=3.0.0
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,9 +1,11 @@
 openai==0.27.8
 HTMLParser>=0.0.2
-PyQRCode>=1.2.1
-qrcode>=7.4.2
+PyQRCode==1.2.1
+qrcode==7.4.2
 requests>=2.28.2
 chardet>=5.1.0
 Pillow
 pre-commit
-web.py
+web.py
+linkai>=0.0.6.0
+agentmesh-sdk>=0.1.3
--- a/run.sh
+++ b/run.sh
@@ -0,0 +1,192 @@
+#!/usr/bin/env bash
+set -e
+
+# 颜色定义
+RED='\033[0;31m'    # 红色
+GREEN='\033[0;32m'  # 绿色
+YELLOW='\033[0;33m' # 黄色
+BLUE='\033[0;34m'   # 蓝色
+NC='\033[0m'        # 无颜色
+
+# 获取当前脚本的目录
+export BASE_DIR=$(cd "$(dirname "$0")"; pwd)
+echo -e "${GREEN}📁 BASE_DIR: ${BASE_DIR}${NC}"
+
+# 检查 config.json 文件是否存在
+check_config_file() {
+    if [ ! -f "${BASE_DIR}/config.json" ]; then
+        echo -e "${RED}❌ 错误：未找到 config.json 文件。请确保 config.json 存在于当前目录。${NC}"
+        exit 1
+    fi
+}
+
+# 检查 Python 版本是否大于等于 3.7，并检查 pip 是否可用
+check_python_version() {
+    if ! command -v python3 &> /dev/null; then
+        echo -e "${RED}❌ 错误：未找到 Python3。请安装 Python 3.7 或以上版本。${NC}"
+        exit 1
+    fi
+
+    PYTHON_VERSION=$(python3 -c 'import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")')
+    PYTHON_MAJOR=$(echo "$PYTHON_VERSION" | cut -d'.' -f1)
+    PYTHON_MINOR=$(echo "$PYTHON_VERSION" | cut -d'.' -f2)
+
+    if (( PYTHON_MAJOR < 3 || (PYTHON_MAJOR == 3 && PYTHON_MINOR < 7) )); then
+        echo -e "${RED}❌ 错误：Python 版本为 ${PYTHON_VERSION}。请安装 Python 3.7 或以上版本。${NC}"
+        exit 1
+    fi
+
+    if ! python3 -m pip --version &> /dev/null; then
+        echo -e "${RED}❌ 错误：未找到 pip。请安装 pip。${NC}"
+        exit 1
+    fi
+}
+
+# 检查并安装缺失的依赖
+install_dependencies() {
+    echo -e "${YELLOW}⏳ 正在安装依赖...${NC}"
+
+    if [ ! -f "${BASE_DIR}/requirements.txt" ]; then
+        echo -e "${RED}❌ 错误：未找到 requirements.txt 文件。${NC}"
+        exit 1
+    fi
+
+    # 安装 requirements.txt 中的依赖，使用清华大学的 PyPI 镜像
+     pip3 install -r "${BASE_DIR}/requirements.txt" -i https://pypi.tuna.tsinghua.edu.cn/simple
+
+    # 处理 requirements-optional.txt（如果存在）
+    if [ -f "${BASE_DIR}/requirements-optional.txt" ]; then
+        echo -e "${YELLOW}⏳ 正在安装可选的依赖...${NC}"
+        pip3 install -r "${BASE_DIR}/requirements-optional.txt" -i https://pypi.tuna.tsinghua.edu.cn/simple
+    fi
+}
+
+# 启动项目
+run_project() {
+    echo -e "${GREEN}🚀 准备启动项目...${NC}"
+    cd "${BASE_DIR}"
+    sleep 2
+
+
+    # 判断操作系统类型
+    OS_TYPE=$(uname)
+
+    if [[ "$OS_TYPE" == "Linux" ]]; then
+        # 在 Linux 上使用 setsid
+        setsid python3 "${BASE_DIR}/app.py" > "${BASE_DIR}/nohup.out" 2>&1 &
+        echo -e "${GREEN}🚀 正在启动 ChatGPT-on-WeChat (Linux)...${NC}"
+    elif [[ "$OS_TYPE" == "Darwin" ]]; then
+        # 在 macOS 上直接运行
+        python3 "${BASE_DIR}/app.py" > "${BASE_DIR}/nohup.out" 2>&1 &
+        echo -e "${GREEN}🚀 正在启动 ChatGPT-on-WeChat (macOS)...${NC}"
+    else
+        echo -e "${RED}❌ 错误：不支持的操作系统 ${OS_TYPE}。${NC}"
+        exit 1
+    fi
+
+    sleep 2
+    # 显示日志输出，供用户扫码
+    tail -n 30 -f "${BASE_DIR}/nohup.out"
+
+}
+# 更新项目
+update_project() {
+    echo -e "${GREEN}🔄 准备更新项目，现在停止项目...${NC}"
+    cd "${BASE_DIR}"
+
+    # 停止项目
+    stop_project
+    echo -e "${GREEN}🔄 开始更新项目...${NC}"
+    # 更新代码，从 git 仓库拉取最新代码
+    if [ -d .git ]; then
+        GIT_PULL_OUTPUT=$(git pull)
+        if [ $? -eq 0 ]; then
+            if [[ "$GIT_PULL_OUTPUT" == *"Already up to date."* ]]; then
+                echo -e "${GREEN}✅ 代码已经是最新的。${NC}"
+            else
+                echo -e "${GREEN}✅ 代码更新完成。${NC}"
+            fi
+        else
+            echo -e "${YELLOW}⚠️ 从 GitHub 更新失败，尝试切换到 Gitee 仓库...${NC}"
+            # 更改远程仓库为 Gitee
+            git remote set-url origin https://gitee.com/zhayujie/chatgpt-on-wechat.git
+            GIT_PULL_OUTPUT=$(git pull)
+            if [ $? -eq 0 ]; then
+                if [[ "$GIT_PULL_OUTPUT" == *"Already up to date."* ]]; then
+                    echo -e "${GREEN}✅ 代码已经是最新的。${NC}"
+                else
+                    echo -e "${GREEN}✅ 从 Gitee 更新成功。${NC}"
+                fi
+            else
+                echo -e "${RED}❌ 错误：从 Gitee 更新仍然失败，请检查网络连接。${NC}"
+                exit 1
+            fi
+        fi
+    else
+        echo -e "${RED}❌ 错误：当前目录不是 git 仓库，无法更新代码。${NC}"
+        exit 1
+    fi
+
+    # 安装依赖
+    install_dependencies
+
+    # 启动项目
+    run_project
+}
+
+# 停止项目
+stop_project() {
+    echo -e "${GREEN}🛑 正在停止项目...${NC}"
+    cd "${BASE_DIR}"
+    pid=$(ps ax | grep -i app.py | grep "${BASE_DIR}" | grep python3 | grep -v grep | awk '{print $1}')
+    if [ -z "$pid" ] ; then
+        echo -e "${YELLOW}⚠️ 未找到正在运行的 ChatGPT-on-WeChat。${NC}"
+        return
+    fi
+
+    echo -e "${GREEN}🛑 正在运行的 ChatGPT-on-WeChat (PID: ${pid})${NC}"
+
+    kill ${pid}
+    sleep 3
+
+    if ps -p $pid > /dev/null; then
+        echo -e "${YELLOW}⚠️ 进程未停止，尝试强制终止...${NC}"
+        kill -9 ${pid}
+    fi
+
+    echo -e "${GREEN}✅ 已停止 ChatGPT-on-WeChat (PID: ${pid})${NC}"
+}
+
+# 主函数，根据用户参数执行操作
+case "$1" in
+    start)
+        check_config_file
+        check_python_version
+        run_project
+        ;;
+    stop)
+        stop_project
+        ;;
+    restart)
+        stop_project
+        check_config_file
+        check_python_version
+        run_project
+        ;;
+    update)
+        check_config_file
+        check_python_version
+        update_project
+        ;;
+    *)
+        echo -e "${YELLOW}=========================================${NC}"
+        echo -e "${YELLOW}用法：${GREEN}$0 ${BLUE}{start|stop|restart|update}${NC}"
+        echo -e "${YELLOW}示例：${NC}"
+        echo -e "  ${GREEN}$0 ${BLUE}start${NC}"
+        echo -e "  ${GREEN}$0 ${BLUE}stop${NC}"
+        echo -e "  ${GREEN}$0 ${BLUE}restart${NC}"
+        echo -e "  ${GREEN}$0 ${BLUE}update${NC}"
+        echo -e "${YELLOW}=========================================${NC}"
+        exit 1
+        ;;
+esac
--- a/simple_login_form_test.html
+++ b/simple_login_form_test.html
@@ -0,0 +1,278 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+<meta charset="UTF-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+<title>登录</title>
+<style>
+  /* Reset and base */
+  * {
+    box-sizing: border-box;
+  }
+  body, html {
+    margin: 0; padding: 0; height: 100%;
+    font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;
+    background: linear-gradient(135deg, #667eea, #764ba2);
+    display: flex;
+    justify-content: center;
+    align-items: center;
+  }
+  .login-container {
+    background: rgba(255, 255, 255, 0.95);
+    padding: 2.5rem 3rem;
+    border-radius: 12px;
+    box-shadow: 0 8px 24px rgba(0,0,0,0.15);
+    width: 100%;
+    max-width: 400px;
+  }
+  h2 {
+    margin-bottom: 1.5rem;
+    color: #333;
+    text-align: center;
+  }
+  form {
+    display: flex;
+    flex-direction: column;
+  }
+  label {
+    font-weight: 600;
+    margin-bottom: 0.4rem;
+    color: #444;
+  }
+  input[type="text"],
+  input[type="email"],
+  input[type="password"] {
+    padding: 0.6rem 0.8rem;
+    font-size: 1rem;
+    border: 1.8px solid #ccc;
+    border-radius: 6px;
+    transition: border-color 0.3s ease;
+    outline-offset: 2px;
+  }
+  input[type="text"]:focus,
+  input[type="email"]:focus,
+  input[type="password"]:focus {
+    border-color: #667eea;
+  }
+  .password-wrapper {
+    position: relative;
+    display: flex;
+    align-items: center;
+  }
+  .toggle-password {
+    position: absolute;
+    right: 0.8rem;
+    background: none;
+    border: none;
+    cursor: pointer;
+    font-size: 1rem;
+    color: #667eea;
+    user-select: none;
+  }
+  .login-button {
+    margin-top: 1.5rem;
+    padding: 0.75rem;
+    font-size: 1.1rem;
+    font-weight: 700;
+    background-color: #667eea;
+    color: white;
+    border: none;
+    border-radius: 8px;
+    cursor: pointer;
+    transition: background-color 0.3s ease;
+  }
+  .login-button:disabled {
+    background-color: #a3a9f7;
+    cursor: not-allowed;
+  }
+  .forgot-password {
+    margin-top: 1rem;
+    text-align: right;
+  }
+  .forgot-password a {
+    color: #667eea;
+    text-decoration: none;
+    font-size: 0.9rem;
+  }
+  .forgot-password a:hover {
+    text-decoration: underline;
+  }
+  .error-message {
+    margin-top: 1rem;
+    color: #d93025;
+    font-weight: 600;
+    text-align: center;
+  }
+  .loading-spinner {
+    border: 3px solid #f3f3f3;
+    border-top: 3px solid #667eea;
+    border-radius: 50%;
+    width: 20px;
+    height: 20px;
+    animation: spin 1s linear infinite;
+    display: inline-block;
+    vertical-align: middle;
+    margin-left: 8px;
+  }
+  @keyframes spin {
+    0% { transform: rotate(0deg);}
+    100% { transform: rotate(360deg);}
+  }
+  /* Responsive */
+  @media (max-width: 480px) {
+    .login-container {
+      margin: 1rem;
+      padding: 2rem 1.5rem;
+    }
+  }
+</style>
+</head>
+<body>
+  <div class="login-container" role="main" aria-label="登录表单">
+    <h2>用户登录</h2>
+    <form id="loginForm" novalidate>
+      <label for="usernameEmail">用户名或邮箱</label>
+      <input type="text" id="usernameEmail" name="usernameEmail" autocomplete="username" placeholder="请输入用户名或邮箱" required aria-describedby="usernameEmailError" />
+      <div id="usernameEmailError" class="error-message" aria-live="polite"></div>
+
+      <label for="password" style="margin-top:1rem;">密码</label>
+      <div class="password-wrapper">
+        <input type="password" id="password" name="password" autocomplete="current-password" placeholder="请输入密码" required minlength="6" aria-describedby="passwordError" />
+        <button type="button" class="toggle-password" aria-label="切换密码可见性" title="切换密码可见性">👁️</button>
+      </div>
+      <div id="passwordError" class="error-message" aria-live="polite"></div>
+
+      <button type="submit" id="loginButton" class="login-button" disabled>登录</button>
+      <div class="forgot-password">
+        <a href="/forgot-password.html" target="_blank" rel="noopener noreferrer">忘记密码？</a>
+      </div>
+      <div id="submitError" class="error-message" aria-live="polite"></div>
+    </form>
+  </div>
+
+<script>
+  (function(){
+    const usernameEmailInput = document.getElementById('usernameEmail');
+    const passwordInput = document.getElementById('password');
+    const loginButton = document.getElementById('loginButton');
+    const usernameEmailError = document.getElementById('usernameEmailError');
+    const passwordError = document.getElementById('passwordError');
+    const submitError = document.getElementById('submitError');
+    const togglePasswordBtn = document.querySelector('.toggle-password');
+    const form = document.getElementById('loginForm');
+
+    // 校验用户名或邮箱格式
+    function validateUsernameEmail(value) {
+      if (!value.trim()) {
+        return "用户名或邮箱不能为空";
+      }
+      // 简单邮箱正则
+      const emailRegex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
+      // 用户名规则：允许字母数字下划线，长度3-20
+      const usernameRegex = /^[a-zA-Z0-9_]{3,20}$/;
+      if (emailRegex.test(value)) {
+        return "";
+      } else if (usernameRegex.test(value)) {
+        return "";
+      } else {
+        return "请输入有效的用户名或邮箱格式";
+      }
+    }
+
+    // 校验密码格式
+    function validatePassword(value) {
+      if (!value) {
+        return "密码不能为空";
+      }
+      if (value.length < 6) {
+        return "密码长度不能少于6位";
+      }
+      return "";
+    }
+
+    // 实时校验并更新错误提示和按钮状态
+    function validateForm() {
+      const usernameEmailVal = usernameEmailInput.value;
+      const passwordVal = passwordInput.value;
+
+      const usernameEmailErrMsg = validateUsernameEmail(usernameEmailVal);
+      const passwordErrMsg = validatePassword(passwordVal);
+
+      usernameEmailError.textContent = usernameEmailErrMsg;
+      passwordError.textContent = passwordErrMsg;
+      submitError.textContent = "";
+
+      const isValid = !usernameEmailErrMsg && !passwordErrMsg;
+      loginButton.disabled = !isValid;
+      return isValid;
+    }
+
+    // 密码可见切换
+    togglePasswordBtn.addEventListener('click', () => {
+      if (passwordInput.type === 'password') {
+        passwordInput.type = 'text';
+        togglePasswordBtn.textContent = '🙈';
+        togglePasswordBtn.setAttribute('aria-label', '隐藏密码');
+        togglePasswordBtn.setAttribute('title', '隐藏密码');
+      } else {
+        passwordInput.type = 'password';
+        togglePasswordBtn.textContent = '👁️';
+        togglePasswordBtn.setAttribute('aria-label', '显示密码');
+        togglePasswordBtn.setAttribute('title', '显示密码');
+      }
+    });
+
+    // 监听输入事件实时校验
+    usernameEmailInput.addEventListener('input', validateForm);
+    passwordInput.addEventListener('input', validateForm);
+
+    // 模拟登录请求
+    function fakeLoginRequest(data) {
+      return new Promise((resolve, reject) => {
+        setTimeout(() => {
+          // 模拟用户名/邮箱为 "user" 或 "user@example.com" 且密码为 "password123" 才成功
+          const validUsers = ["user", "user@example.com"];
+          if (validUsers.includes(data.usernameEmail.toLowerCase()) && data.password === "password123") {
+            resolve();
+          } else {
+            reject(new Error("用户名或密码错误"));
+          }
+        }, 1500);
+      });
+    }
+
+    // 表单提交处理
+    form.addEventListener('submit', async (e) => {
+      e.preventDefault();
+      if (!validateForm()) return;
+
+      loginButton.disabled = true;
+      const originalText = loginButton.textContent;
+      loginButton.textContent = "登录中";
+      const spinner = document.createElement('span');
+      spinner.className = 'loading-spinner';
+      loginButton.appendChild(spinner);
+      submitError.textContent = "";
+
+      try {
+        await fakeLoginRequest({
+          usernameEmail: usernameEmailInput.value.trim(),
+          password: passwordInput.value
+        });
+        // 登录成功跳转（此处用alert模拟）
+        alert("登录成功，跳转到用户主页");
+        // window.location.href = "/user-home.html"; // 实际跳转
+      } catch (err) {
+        submitError.textContent = err.message;
+      } finally {
+        loginButton.disabled = false;
+        loginButton.textContent = originalText;
+      }
+    });
+
+    // 页面加载时校验一次，防止缓存值导致按钮状态异常
+    validateForm();
+  })();
+<\/script>
+<\/body>
+<\/html>
--- a/voice/ali/ali_api.py
+++ b/voice/ali/ali_api.py
@@ -8,6 +8,7 @@ Description:

 """

+import http.client
 import json
 import time
 import requests
@@ -61,6 +62,69 @@ def text_to_speech_aliyun(url, text, appkey, token):

    return output_file

+def speech_to_text_aliyun(url, audioContent, appkey, token):
+    """
+    使用阿里云的语音识别服务识别音频文件中的语音。
+
+    参数:
+    - url (str): 阿里云语音识别服务的端点URL。
+    - audioContent (byte): pcm音频数据。
+    - appkey (str): 您的阿里云appkey。
+    - token (str): 阿里云API的认证令牌。
+
+    返回值:
+    - str: 成功时输出识别到的文本，否则为None。
+    """
+    format = 'pcm'
+    sample_rate = 16000
+    enablePunctuationPrediction  = True
+    enableInverseTextNormalization = True
+    enableVoiceDetection  = False
+
+    # 设置RESTful请求参数
+    request = url + '?appkey=' + appkey
+    request = request + '&format=' + format
+    request = request + '&sample_rate=' + str(sample_rate)
+
+    if enablePunctuationPrediction :
+        request = request + '&enable_punctuation_prediction=' + 'true'
+
+    if enableInverseTextNormalization :
+        request = request + '&enable_inverse_text_normalization=' + 'true'
+
+    if enableVoiceDetection :
+        request = request + '&enable_voice_detection=' + 'true'
+        
+    host = 'nls-gateway-cn-shanghai.aliyuncs.com'
+
+    # 设置HTTPS请求头部
+    httpHeaders = {
+        'X-NLS-Token': token,
+        'Content-type': 'application/octet-stream',
+        'Content-Length': len(audioContent)
+        }
+
+    conn = http.client.HTTPSConnection(host)
+    conn.request(method='POST', url=request, body=audioContent, headers=httpHeaders)
+
+    response = conn.getresponse()
+    body = response.read()
+    try:
+        body = json.loads(body)
+        status = body['status']
+        if status == 20000000 :
+            result = body['result']
+            if result :
+                logger.info(f"阿里云语音识别到了：{result}")
+            conn.close()
+            return result
+        else :
+            logger.error(f"语音识别失败，状态码: {status}")
+    except ValueError:
+        logger.error(f"语音识别失败，收到非JSON格式的数据: {body}")
+    conn.close()
+    return None
+

 class AliyunTokenGenerator:
    """
--- a/voice/ali/ali_voice.py
+++ b/voice/ali/ali_voice.py
@@ -15,9 +15,9 @@ import time

 from bridge.reply import Reply, ReplyType
 from common.log import logger
+from voice.audio_convert import get_pcm_from_wav
 from voice.voice import Voice
-from voice.ali.ali_api import AliyunTokenGenerator
-from voice.ali.ali_api import text_to_speech_aliyun
+from voice.ali.ali_api import AliyunTokenGenerator, speech_to_text_aliyun, text_to_speech_aliyun
 from config import conf


@@ -34,7 +34,8 @@ class AliVoice(Voice):
            self.token = None
            self.token_expire_time = 0
            # 默认复用阿里云千问的 access_key 和 access_secret
-            self.api_url = config.get("api_url")
+            self.api_url_voice_to_text = config.get("api_url_voice_to_text")
+            self.api_url_text_to_voice = config.get("api_url_text_to_voice")
            self.app_key = config.get("app_key")
            self.access_key_id = conf().get("qwen_access_key_id") or config.get("access_key_id")
            self.access_key_secret = conf().get("qwen_access_key_secret") or config.get("access_key_secret")
@@ -53,7 +54,7 @@ class AliVoice(Voice):
                      r'äöüÄÖÜáéíóúÁÉÍÓÚàèìòùÀÈÌÒÙâêîôûÂÊÎÔÛçÇñÑ，。！？,.]', '', text)
        # 提取有效的token
        token_id = self.get_valid_token()
-        fileName = text_to_speech_aliyun(self.api_url, text, self.app_key, token_id)
+        fileName = text_to_speech_aliyun(self.api_url_text_to_voice, text, self.app_key, token_id)
        if fileName:
            logger.info("[Ali] textToVoice text={} voice file name={}".format(text, fileName))
            reply = Reply(ReplyType.VOICE, fileName)
@@ -61,6 +62,25 @@ class AliVoice(Voice):
            reply = Reply(ReplyType.ERROR, "抱歉，语音合成失败")
        return reply

+    def voiceToText(self, voice_file):
+        """
+        将语音文件转换为文本。
+
+        :param voice_file: 要转换的语音文件。
+        :return: 返回一个Reply对象，其中包含转换得到的文本或错误信息。
+        """
+        # 提取有效的token
+        token_id = self.get_valid_token()
+        logger.debug("[Ali] voice file name={}".format(voice_file))
+        pcm = get_pcm_from_wav(voice_file)
+        text = speech_to_text_aliyun(self.api_url_voice_to_text, pcm, self.app_key, token_id)
+        if text:
+            logger.info("[Ali] VoicetoText = {}".format(text))
+            reply = Reply(ReplyType.TEXT, text)
+        else:
+            reply = Reply(ReplyType.ERROR, "抱歉，语音识别失败")
+        return reply
+
    def get_valid_token(self):
        """
        获取有效的阿里云token。
--- a/voice/ali/config.json.template
+++ b/voice/ali/config.json.template
@@ -1,5 +1,6 @@
 {
-    "api_url": "https://nls-gateway-cn-shanghai.aliyuncs.com/stream/v1/tts",
+    "api_url_text_to_voice": "https://nls-gateway-cn-shanghai.aliyuncs.com/stream/v1/tts",
+    "api_url_voice_to_text": "https://nls-gateway.cn-shanghai.aliyuncs.com/stream/v1/asr",
    "app_key": "",
    "access_key_id": "",
    "access_key_secret": ""
--- a/voice/audio_convert.py
+++ b/voice/audio_convert.py
@@ -6,7 +6,7 @@ from common.log import logger
 try:
    import pysilk
 except ImportError:
-    logger.warn("import pysilk failed, wechaty voice message will not be supported.")
+    logger.debug("import pysilk failed, wechaty voice message will not be supported.")

 from pydub import AudioSegment

--- a/voice/azure/azure_voice.py
+++ b/voice/azure/azure_voice.py
@@ -65,7 +65,7 @@ class AzureVoice(Voice):
            reply = Reply(ReplyType.TEXT, result.text)
        else:
            cancel_details = result.cancellation_details
-            logger.error("[Azure] voiceToText error, result={}, errordetails={}".format(result, cancel_details.error_details))
+            logger.error("[Azure] voiceToText error, result={}, errordetails={}".format(result, cancel_details))
            reply = Reply(ReplyType.ERROR, "抱歉，语音识别失败")
        return reply

--- a/voice/baidu/baidu_voice.py
+++ b/voice/baidu/baidu_voice.py
@@ -1,9 +1,11 @@
 """
-baidu voice service
+baidu voice service with thread-safe token caching
 """
 import json
 import os
 import time
+import threading
+import requests

 from aip import AipSpeech

@@ -14,28 +16,13 @@ from config import conf
 from voice.audio_convert import get_pcm_from_wav
 from voice.voice import Voice

-"""
-    百度的语音识别API.
-    dev_pid:
-        - 1936: 普通话远场
-        - 1536：普通话(支持简单的英文识别)
-        - 1537：普通话(纯中文识别)
-        - 1737：英语
-        - 1637：粤语
-        - 1837：四川话
-    要使用本模块, 首先到 yuyin.baidu.com 注册一个开发者账号,
-    之后创建一个新应用, 然后在应用管理的"查看key"中获得 API Key 和 Secret Key
-    然后在 config.json 中填入这两个值, 以及 app_id, dev_pid
-    """
-
-
 class BaiduVoice(Voice):
    def __init__(self):
        try:
+            # 读取本地 TTS 参数配置
            curdir = os.path.dirname(__file__)
            config_path = os.path.join(curdir, "config.json")
-            bconf = None
-            if not os.path.exists(config_path):  # 如果没有配置文件，创建本地配置文件
+            if not os.path.exists(config_path):
                bconf = {"lang": "zh", "ctp": 1, "spd": 5, "pit": 5, "vol": 5, "per": 0}
                with open(config_path, "w") as fw:
                    json.dump(bconf, fw, indent=4)
@@ -47,48 +34,139 @@ class BaiduVoice(Voice):
            self.api_key = str(conf().get("baidu_api_key"))
            self.secret_key = str(conf().get("baidu_secret_key"))
            self.dev_id = conf().get("baidu_dev_pid")
-            self.lang = bconf["lang"]
-            self.ctp = bconf["ctp"]
-            self.spd = bconf["spd"]
-            self.pit = bconf["pit"]
-            self.vol = bconf["vol"]
-            self.per = bconf["per"]

+            self.lang = bconf["lang"]
+            self.ctp  = bconf["ctp"]
+            self.spd  = bconf["spd"]
+            self.pit  = bconf["pit"]
+            self.vol  = bconf["vol"]
+            self.per  = bconf["per"]
+
+            # 百度 SDK 客户端（短文本合成 & 语音识别）
            self.client = AipSpeech(self.app_id, self.api_key, self.secret_key)
+
+            # access_token 缓存与锁
+            self._access_token    = None
+            self._token_expire_ts = 0
+            self._token_lock      = threading.Lock()
        except Exception as e:
-            logger.warn("BaiduVoice init failed: %s, ignore " % e)
+            logger.warn("BaiduVoice init failed: %s, ignore" % e)
+
+    def _get_access_token(self):
+        # 多线程安全获取 token
+        with self._token_lock:
+            now = time.time()
+            if self._access_token and now < self._token_expire_ts:
+                return self._access_token
+            url = "https://aip.baidubce.com/oauth/2.0/token"
+            params = {
+                "grant_type":    "client_credentials",
+                "client_id":     self.api_key,
+                "client_secret": self.secret_key,
+            }
+            resp = requests.post(url, params=params).json()
+            token = resp.get("access_token")
+            expires_in = resp.get("expires_in", 2592000)
+            if token:
+                self._access_token    = token
+                self._token_expire_ts = now + expires_in - 60  # 提前 1 分钟过期
+                return token
+            else:
+                logger.error("BaiduVoice _get_access_token failed: %s", resp)
+                return None

    def voiceToText(self, voice_file):
-        # 识别本地文件
-        logger.debug("[Baidu] voice file name={}".format(voice_file))
+        logger.debug("[Baidu] recognize voice file=%s", voice_file)
        pcm = get_pcm_from_wav(voice_file)
-        res = self.client.asr(pcm, "pcm", 8000, {"dev_pid": self.dev_id})
-        if res["err_no"] == 0:
-            logger.info("百度语音识别到了：{}".format(res["result"]))
+        res = self.client.asr(pcm, "pcm", 16000, {"dev_pid": self.dev_id})
+        if res.get("err_no") == 0:
            text = "".join(res["result"])
-            reply = Reply(ReplyType.TEXT, text)
+            logger.info("[Baidu] ASR result: %s", text)
+            return Reply(ReplyType.TEXT, text)
        else:
-            logger.info("百度语音识别出错了: {}".format(res["err_msg"]))
-            if res["err_msg"] == "request pv too much":
-                logger.info("  出现这个原因很可能是你的百度语音服务调用量超出限制，或未开通付费")
-            reply = Reply(ReplyType.ERROR, "百度语音识别出错了；{0}".format(res["err_msg"]))
-        return reply
+            err = res.get("err_msg", "")
+            logger.error("[Baidu] ASR error: %s", err)
+            return Reply(ReplyType.ERROR, f"语音识别失败：{err}")
+
+    def _long_text_synthesis(self, text):
+        token = self._get_access_token()
+        if not token:
+            return Reply(ReplyType.ERROR, "获取百度 access_token 失败")
+
+        # 创建合成任务
+        create_url = f"https://aip.baidubce.com/rpc/2.0/tts/v1/create?access_token={token}"
+        payload = {
+            "text":            text,
+            "format":          "mp3-16k",
+            "voice":           0,
+            "lang":            self.lang,
+            "speed":           self.spd,
+            "pitch":           self.pit,
+            "volume":          self.vol,
+            "enable_subtitle": 0,
+        }
+        headers = {"Content-Type": "application/json"}
+        create_resp = requests.post(create_url, headers=headers, json=payload).json()
+        task_id = create_resp.get("task_id")
+        if not task_id:
+            logger.error("[Baidu] 长文本合成创建任务失败: %s", create_resp)
+            return Reply(ReplyType.ERROR, "长文本合成任务提交失败")
+        logger.info("[Baidu] 长文本合成任务已提交 task_id=%s", task_id)
+
+        # 轮询查询任务状态
+        query_url = f"https://aip.baidubce.com/rpc/2.0/tts/v1/query?access_token={token}"
+        for _ in range(100):
+            time.sleep(3)
+            resp = requests.post(query_url, headers=headers, json={"task_ids":[task_id]})
+            result = resp.json()
+            infos = result.get("tasks_info") or result.get("tasks") or []
+            if not infos:
+                continue
+            info = infos[0]
+            status = info.get("task_status")
+            if status == "Success":
+                task_res = info.get("task_result", {})
+                audio_url = task_res.get("audio_address") or task_res.get("speech_url")
+                break
+            elif status == "Running":
+                continue
+            else:
+                logger.error("[Baidu] 长文本合成失败: %s", info)
+                return Reply(ReplyType.ERROR, "长文本合成执行失败")
+        else:
+            return Reply(ReplyType.ERROR, "长文本合成超时，请稍后重试")
+
+        # 下载并保存音频
+        audio_data = requests.get(audio_url).content
+        fn = TmpDir().path() + f"reply-long-{int(time.time())}-{hash(text)&0x7FFFFFFF}.mp3"
+        with open(fn, "wb") as f:
+            f.write(audio_data)
+        logger.info("[Baidu] 长文本合成 success: %s", fn)
+        return Reply(ReplyType.VOICE, fn)

    def textToVoice(self, text):
-        result = self.client.synthesis(
-            text,
-            self.lang,
-            self.ctp,
-            {"spd": self.spd, "pit": self.pit, "vol": self.vol, "per": self.per},
-        )
-        if not isinstance(result, dict):
-            # Avoid the same filename under multithreading
-            fileName = TmpDir().path() + "reply-" + str(int(time.time())) + "-" + str(hash(text) & 0x7FFFFFFF) + ".mp3"
-            with open(fileName, "wb") as f:
-                f.write(result)
-            logger.info("[Baidu] textToVoice text={} voice file name={}".format(text, fileName))
-            reply = Reply(ReplyType.VOICE, fileName)
-        else:
-            logger.error("[Baidu] textToVoice error={}".format(result))
-            reply = Reply(ReplyType.ERROR, "抱歉，语音合成失败")
-        return reply
+        try:
+            # GBK 编码字节长度
+            gbk_len = len(text.encode("gbk", errors="ignore"))
+            if gbk_len <= 1024:
+                # 短文本走 SDK 合成
+                result = self.client.synthesis(
+                    text, self.lang, self.ctp,
+                    {"spd":self.spd, "pit":self.pit, "vol":self.vol, "per":self.per}
+                )
+                if not isinstance(result, dict):
+                    fn = TmpDir().path() + f"reply-{int(time.time())}-{hash(text)&0x7FFFFFFF}.mp3"
+                    with open(fn, "wb") as f:
+                        f.write(result)
+                    logger.info("[Baidu] 短文本合成 success: %s", fn)
+                    return Reply(ReplyType.VOICE, fn)
+                else:
+                    logger.error("[Baidu] 短文本合成 error: %s", result)
+                    return Reply(ReplyType.ERROR, "短文本语音合成失败")
+            else:
+                # 长文本
+                return self._long_text_synthesis(text)
+        except Exception as e:
+            logger.error("BaiduVoice textToVoice exception: %s", e)
+            return Reply(ReplyType.ERROR, f"合成异常：{e}")
+
--- a/voice/elevent/elevent_voice.py
+++ b/voice/elevent/elevent_voice.py
@@ -1,7 +1,7 @@
 import time

-from elevenlabs import set_api_key,generate
-
+from elevenlabs.client import ElevenLabs
+from elevenlabs import save
 from bridge.reply import Reply, ReplyType
 from common.log import logger
 from common.tmp_dir import TmpDir
@@ -9,7 +9,7 @@ from voice.voice import Voice
 from config import conf

 XI_API_KEY = conf().get("xi_api_key")
-set_api_key(XI_API_KEY)
+client = ElevenLabs(api_key=XI_API_KEY)
 name = conf().get("xi_voice_id")

 class ElevenLabsVoice(Voice):
@@ -21,13 +21,12 @@ class ElevenLabsVoice(Voice):
        pass

    def textToVoice(self, text):
-        audio = generate(
+        audio = client.generate(
            text=text,
            voice=name,
-            model='eleven_multilingual_v1'
+            model='eleven_multilingual_v2'
        )
        fileName = TmpDir().path() + "reply-" + str(int(time.time())) + "-" + str(hash(text) & 0x7FFFFFFF) + ".mp3"
-        with open(fileName, "wb") as f:
-            f.write(audio)
+        save(audio, fileName)
        logger.info("[ElevenLabs] textToVoice text={} voice file name={}".format(text, fileName))
        return Reply(ReplyType.VOICE, fileName)
--- a/voice/factory.py
+++ b/voice/factory.py
@@ -46,4 +46,12 @@ def create_voice(voice_type):
        from voice.edge.edge_voice import EdgeVoice

        return EdgeVoice()
+    elif voice_type == "xunfei":
+        from voice.xunfei.xunfei_voice import XunfeiVoice
+
+        return XunfeiVoice()
+    elif voice_type == "tencent":
+        from voice.tencent.tencent_voice import TencentVoice
+
+        return TencentVoice()
    raise RuntimeError
--- a/voice/linkai/linkai_voice.py
+++ b/voice/linkai/linkai_voice.py
@@ -19,7 +19,7 @@ class LinkAIVoice(Voice):
    def voiceToText(self, voice_file):
        logger.debug("[LinkVoice] voice file name={}".format(voice_file))
        try:
-            url = conf().get("linkai_api_base", "https://api.link-ai.chat") + "/v1/audio/transcriptions"
+            url = conf().get("linkai_api_base", "https://api.link-ai.tech") + "/v1/audio/transcriptions"
            headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
            model = None
            if not conf().get("text_to_voice") or conf().get("voice_to_text") == "openai":
@@ -54,7 +54,7 @@ class LinkAIVoice(Voice):

    def textToVoice(self, text):
        try:
-            url = conf().get("linkai_api_base", "https://api.link-ai.chat") + "/v1/audio/speech"
+            url = conf().get("linkai_api_base", "https://api.link-ai.tech") + "/v1/audio/speech"
            headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
            model = const.TTS_1
            if not conf().get("text_to_voice") or conf().get("text_to_voice") in ["openai", const.TTS_1, const.TTS_1_HD]:
--- a/voice/openai/openai_voice.py
+++ b/voice/openai/openai_voice.py
@@ -21,8 +21,21 @@ class OpenaiVoice(Voice):
        logger.debug("[Openai] voice file name={}".format(voice_file))
        try:
            file = open(voice_file, "rb")
-            result = openai.Audio.transcribe("whisper-1", file)
-            text = result["text"]
+            api_base = conf().get("open_ai_api_base") or "https://api.openai.com/v1"
+            url = f'{api_base}/audio/transcriptions'
+            headers = {
+                'Authorization': 'Bearer ' + conf().get("open_ai_api_key"),
+                # 'Content-Type': 'multipart/form-data' # 加了会报错，不知道什么原因
+            }
+            files = {
+                "file": file,
+            }
+            data = {
+                "model": "whisper-1",
+            }
+            response = requests.post(url, headers=headers, files=files, data=data)
+            response_data = response.json()
+            text = response_data['text']
            reply = Reply(ReplyType.TEXT, text)
            logger.info("[Openai] voiceToText text={} voice file name={}".format(text, voice_file))
        except Exception as e:
--- a/voice/tencent/config.json.template
+++ b/voice/tencent/config.json.template
@@ -0,0 +1,5 @@
+{
+    "voice_type": 1003,
+    "secret_id": "YOUR_SECRET_ID",
+    "secret_key": "YOUR_SECRET_KEY"
+}
--- a/voice/tencent/tencent_voice.py
+++ b/voice/tencent/tencent_voice.py
@@ -0,0 +1,119 @@
+import json
+import base64
+import os
+import time
+from voice.voice import Voice
+from common.log import logger
+from tencentcloud.common import credential
+from tencentcloud.asr.v20190614 import asr_client, models as asr_models
+from tencentcloud.tts.v20190823 import tts_client, models as tts_models
+from bridge.reply import Reply, ReplyType
+from common.tmp_dir import TmpDir
+
+class TencentVoice(Voice):
+    def __init__(self):
+        super().__init__()
+        self.secret_id = None
+        self.secret_key = None
+        self.voice_type = 1003
+        self._load_config()
+        
+    def _load_config(self):
+        """
+        从本地配置文件加载配置
+        """
+        try:
+            config_path = os.path.join(os.path.dirname(__file__), 'config.json')
+            with open(config_path, 'r') as f:
+                config = json.load(f)
+            self.secret_id = config.get('secret_id')
+            self.secret_key = config.get('secret_key')
+            self.voice_type = config.get('voice_type', self.voice_type)
+            if not self.secret_id or not self.secret_key:
+                logger.error("[Tencent] Missing credentials in config.json")
+        except Exception as e:
+            logger.error(f"[Tencent] Failed to load config: {e}")
+    
+    def setup(self, config):
+        """
+        设置配置信息（保留此方法用于向后兼容）
+        """
+        pass
+        
+    def voiceToText(self, voice_file):
+        """
+        将语音文件转换为文本
+        """
+        try:
+            # 实例化认证对象
+            cred = credential.Credential(self.secret_id, self.secret_key)
+            
+            # 实例化客户端
+            client = asr_client.AsrClient(cred, "ap-guangzhou")
+            
+            # 读取音频文件
+            with open(voice_file, 'rb') as f:
+                audio_data = f.read()
+            
+            # 进行base64编码
+            base64_audio = base64.b64encode(audio_data).decode('utf-8')
+            
+            # 构造请求对象
+            req = asr_models.SentenceRecognitionRequest()
+            req.ProjectId = 0
+            req.SubServiceType = 2
+            req.EngSerViceType = "16k_zh"
+            req.SourceType = 1
+            req.VoiceFormat = "wav"
+            req.UsrAudioKey = "voice_recognition"
+            req.Data = base64_audio
+            
+            # 发起请求
+            resp = client.SentenceRecognition(req)
+            
+            # 解析结果
+            if resp.Result:
+                logger.info("[Tencent] Voice to text success: {}".format(resp.Result))
+                return Reply(ReplyType.TEXT, resp.Result)
+            else:
+                logger.warning("[Tencent] Voice to text failed")
+                return Reply(ReplyType.ERROR, "腾讯语音识别失败")
+            
+        except Exception as e:
+            logger.error("[Tencent] Voice to text error: {}".format(e))
+            return Reply(ReplyType.ERROR, "腾讯语音识别出错：{}".format(str(e)))
+
+    def textToVoice(self, text):
+        """
+        将文本转换为语音
+        """
+        try:
+            cred = credential.Credential(self.secret_id, self.secret_key)
+            client = tts_client.TtsClient(cred, "ap-guangzhou")
+
+            req = tts_models.TextToVoiceRequest()
+            req.Text = text
+            req.SessionId = str(int(time.time()))
+            req.Volume = 5
+            req.Speed = 0
+            req.ProjectId = 0
+            req.ModelType = 1
+            req.PrimaryLanguage = 1
+            req.SampleRate = 16000
+            req.VoiceType = self.voice_type  # 客服女声
+
+            response = client.TextToVoice(req)
+            
+            if response.Audio:
+                fileName = TmpDir().path() + "reply-" + str(int(time.time())) + "-" + str(hash(text) & 0x7FFFFFFF) + ".mp3"
+                with open(fileName, "wb") as f:
+                    f.write(base64.b64decode(response.Audio))
+                logger.info("[Tencent] textToVoice text={} voice file name={}".format(text, fileName))
+                return Reply(ReplyType.VOICE, fileName)
+            else:
+                logger.error("[Tencent] textToVoice failed")
+                return Reply(ReplyType.ERROR, "腾讯语音合成失败")
+
+        except Exception as e:
+            logger.error("[Tencent] Text to voice error: {}".format(e))
+            return Reply(ReplyType.ERROR, "腾讯语音合成出错：{}".format(str(e)))
--- a/voice/xunfei/config.json.template
+++ b/voice/xunfei/config.json.template
@@ -0,0 +1,7 @@
+{
+  "APPID":"xxx71xxx",
+  "APIKey":"xxxx69058exxxxxx",
+  "APISecret":"xxxx697f0xxxxxx",
+  "BusinessArgsTTS":{"aue": "lame", "sfl": 1, "auf": "audio/L16;rate=16000", "vcn": "xiaoyan", "tte": "utf8"},
+  "BusinessArgsASR":{"domain": "iat", "language": "zh_cn", "accent": "mandarin", "vad_eos":10000, "dwa": "wpgs"}
+}
--- a/voice/xunfei/xunfei_asr.py
+++ b/voice/xunfei/xunfei_asr.py
@@ -0,0 +1,209 @@
+# -*- coding:utf-8 -*-
+#
+#  Author: njnuko 
+#  Email: njnuko@163.com 
+#
+#  这个文档是基于官方的demo来改的，固体官方demo文档请参考官网
+#
+#  语音听写流式 WebAPI 接口调用示例 接口文档（必看）：https://doc.xfyun.cn/rest_api/语音听写（流式版）.html
+#  webapi 听写服务参考帖子（必看）：http://bbs.xfyun.cn/forum.php?mod=viewthread&tid=38947&extra=
+#  语音听写流式WebAPI 服务，热词使用方式：登陆开放平台https://www.xfyun.cn/后，找到控制台--我的应用---语音听写（流式）---服务管理--个性化热词，
+#  设置热词
+#  注意：热词只能在识别的时候会增加热词的识别权重，需要注意的是增加相应词条的识别率，但并不是绝对的，具体效果以您测试为准。
+#  语音听写流式WebAPI 服务，方言试用方法：登陆开放平台https://www.xfyun.cn/后，找到控制台--我的应用---语音听写（流式）---服务管理--识别语种列表
+#  可添加语种或方言，添加后会显示该方言的参数值
+#  错误码链接：https://www.xfyun.cn/document/error-code （code返回错误码时必看）
+# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
+
+import websocket
+import datetime
+import hashlib
+import base64
+import hmac
+import json
+from urllib.parse import urlencode
+import time
+import ssl
+from wsgiref.handlers import format_date_time
+from datetime import datetime
+from time import mktime
+import _thread as thread
+import os
+import wave
+
+
+STATUS_FIRST_FRAME = 0  # 第一帧的标识
+STATUS_CONTINUE_FRAME = 1  # 中间帧标识
+STATUS_LAST_FRAME = 2  # 最后一帧的标识
+
+#############
+#whole_dict 是用来存储返回值的，由于带语音修正，所以用dict来存储，有更新的化pop之前的值，最后再合并
+global whole_dict
+#这个文档是官方文档改的，这个参数是用来做函数调用时用的
+global wsParam
+##############
+
+
+class Ws_Param(object):
+    # 初始化
+    def __init__(self, APPID, APIKey, APISecret,BusinessArgs, AudioFile):
+        self.APPID = APPID
+        self.APIKey = APIKey
+        self.APISecret = APISecret
+        self.AudioFile = AudioFile
+        self.BusinessArgs = BusinessArgs
+        # 公共参数(common)
+        self.CommonArgs = {"app_id": self.APPID}
+        # 业务参数(business)，更多个性化参数可在官网查看
+        #self.BusinessArgs = {"domain": "iat", "language": "zh_cn", "accent": "mandarin", "vinfo":1,"vad_eos":10000}
+
+    # 生成url
+    def create_url(self):
+        url = 'wss://ws-api.xfyun.cn/v2/iat'
+        # 生成RFC1123格式的时间戳
+        now = datetime.now()
+        date = format_date_time(mktime(now.timetuple()))
+
+        # 拼接字符串
+        signature_origin = "host: " + "ws-api.xfyun.cn" + "\n"
+        signature_origin += "date: " + date + "\n"
+        signature_origin += "GET " + "/v2/iat " + "HTTP/1.1"
+        # 进行hmac-sha256进行加密
+        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
+                                 digestmod=hashlib.sha256).digest()
+        signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')
+
+        authorization_origin = "api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"" % (
+            self.APIKey, "hmac-sha256", "host date request-line", signature_sha)
+        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
+        # 将请求的鉴权参数组合为字典
+        v = {
+            "authorization": authorization,
+            "date": date,
+            "host": "ws-api.xfyun.cn"
+        }
+        # 拼接鉴权参数，生成url
+        url = url + '?' + urlencode(v)
+        #print("date: ",date)
+        #print("v: ",v)
+        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
+        #print('websocket url :', url)
+        return url
+
+
+# 收到websocket消息的处理
+def on_message(ws, message):
+    global whole_dict
+    try:
+        code = json.loads(message)["code"]
+        sid = json.loads(message)["sid"]
+        if code != 0:
+            errMsg = json.loads(message)["message"]
+            print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
+        else:
+            temp1 = json.loads(message)["data"]["result"]
+            data = json.loads(message)["data"]["result"]["ws"]
+            sn = temp1["sn"]
+            if "rg" in temp1.keys():
+                rep = temp1["rg"]
+                rep_start = rep[0]
+                rep_end = rep[1]
+                for sn in range(rep_start,rep_end+1):
+                    #print("before pop",whole_dict)
+                    #print("sn",sn)
+                    whole_dict.pop(sn,None)
+                    #print("after pop",whole_dict)
+                results = ""
+                for i in data:
+                    for w in i["cw"]:
+                        results += w["w"]
+                whole_dict[sn]=results
+                #print("after add",whole_dict)
+            else:
+                results = ""
+                for i in data:
+                    for w in i["cw"]:
+                        results += w["w"]
+                whole_dict[sn]=results
+            #print("sid:%s call success!,data is:%s" % (sid, json.dumps(data, ensure_ascii=False)))
+    except Exception as e:
+        print("receive msg,but parse exception:", e)
+
+
+
+# 收到websocket错误的处理
+def on_error(ws, error):
+    print("### error:", error)
+
+
+# 收到websocket关闭的处理
+def on_close(ws,a,b):
+    print("### closed ###")
+
+
+# 收到websocket连接建立的处理
+def on_open(ws):
+    global wsParam
+    def run(*args):
+        frameSize = 8000  # 每一帧的音频大小
+        intervel = 0.04  # 发送音频间隔(单位:s)
+        status = STATUS_FIRST_FRAME  # 音频的状态信息，标识音频是第一帧，还是中间帧、最后一帧
+
+        with wave.open(wsParam.AudioFile, "rb") as fp:
+            while True:
+                buf = fp.readframes(frameSize)
+                # 文件结束
+                if not buf:
+                    status = STATUS_LAST_FRAME
+                # 第一帧处理
+                # 发送第一帧音频，带business 参数
+                # appid 必须带上，只需第一帧发送
+                if status == STATUS_FIRST_FRAME:
+                    d = {"common": wsParam.CommonArgs,
+                         "business": wsParam.BusinessArgs,
+                         "data": {"status": 0, "format": "audio/L16;rate=16000","audio": str(base64.b64encode(buf), 'utf-8'), "encoding": "raw"}} 
+                    d = json.dumps(d)
+                    ws.send(d)
+                    status = STATUS_CONTINUE_FRAME
+                # 中间帧处理
+                elif status == STATUS_CONTINUE_FRAME:
+                    d = {"data": {"status": 1, "format": "audio/L16;rate=16000",
+                                  "audio": str(base64.b64encode(buf), 'utf-8'),
+                                  "encoding": "raw"}}
+                    ws.send(json.dumps(d))
+                # 最后一帧处理
+                elif status == STATUS_LAST_FRAME:
+                    d = {"data": {"status": 2, "format": "audio/L16;rate=16000",
+                                  "audio": str(base64.b64encode(buf), 'utf-8'),
+                                  "encoding": "raw"}}
+                    ws.send(json.dumps(d))
+                    time.sleep(1)
+                    break
+                # 模拟音频采样间隔
+                time.sleep(intervel)
+        ws.close()
+
+    thread.start_new_thread(run, ())
+
+#提供给xunfei_voice调用的函数
+def xunfei_asr(APPID,APISecret,APIKey,BusinessArgsASR,AudioFile):
+    global whole_dict
+    global wsParam
+    whole_dict = {}
+    wsParam1 = Ws_Param(APPID=APPID, APISecret=APISecret,
+                       APIKey=APIKey,BusinessArgs=BusinessArgsASR,
+                       AudioFile=AudioFile)
+    #wsParam是global变量，给上面on_open函数调用使用的
+    wsParam = wsParam1
+    websocket.enableTrace(False)
+    wsUrl = wsParam.create_url()
+    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close)
+    ws.on_open = on_open
+    ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
+    #把字典的值合并起来做最后识别的输出
+    whole_words = ""
+    for i in sorted(whole_dict.keys()):
+        whole_words += whole_dict[i]
+    return whole_words
+
+     
--- a/voice/xunfei/xunfei_tts.py
+++ b/voice/xunfei/xunfei_tts.py
@@ -0,0 +1,163 @@
+# -*- coding:utf-8 -*-
+#
+#  Author: njnuko
+#  Email: njnuko@163.com
+#
+#  这个文档是基于官方的demo来改的，固体官方demo文档请参考官网
+#
+#  语音听写流式 WebAPI 接口调用示例 接口文档（必看）：https://doc.xfyun.cn/rest_api/语音听写（流式版）.html
+#  webapi 听写服务参考帖子（必看）：http://bbs.xfyun.cn/forum.php?mod=viewthread&tid=38947&extra=
+#  语音听写流式WebAPI 服务，热词使用方式：登陆开放平台https://www.xfyun.cn/后，找到控制台--我的应用---语音听写（流式）---服务管理--个性化热词，
+#  设置热词
+#  注意：热词只能在识别的时候会增加热词的识别权重，需要注意的是增加相应词条的识别率，但并不是绝对的，具体效果以您测试为准。
+#  语音听写流式WebAPI 服务，方言试用方法：登陆开放平台https://www.xfyun.cn/后，找到控制台--我的应用---语音听写（流式）---服务管理--识别语种列表
+#  可添加语种或方言，添加后会显示该方言的参数值
+#  错误码链接：https://www.xfyun.cn/document/error-code （code返回错误码时必看）
+# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
+import websocket
+import datetime
+import hashlib
+import base64
+import hmac
+import json
+from urllib.parse import urlencode
+import time
+import ssl
+from wsgiref.handlers import format_date_time
+from datetime import datetime
+from time import mktime
+import _thread as thread
+import os
+
+
+
+STATUS_FIRST_FRAME = 0  # 第一帧的标识
+STATUS_CONTINUE_FRAME = 1  # 中间帧标识
+STATUS_LAST_FRAME = 2  # 最后一帧的标识
+
+#############
+#这个参数是用来做输出文件路径的
+global outfile
+#这个文档是官方文档改的，这个参数是用来做函数调用时用的
+global wsParam
+##############
+
+
+class Ws_Param(object):
+    # 初始化
+    def __init__(self, APPID, APIKey, APISecret,BusinessArgs,Text):
+        self.APPID = APPID
+        self.APIKey = APIKey
+        self.APISecret = APISecret
+        self.BusinessArgs = BusinessArgs
+        self.Text = Text
+
+        # 公共参数(common)
+        self.CommonArgs = {"app_id": self.APPID}
+        # 业务参数(business)，更多个性化参数可在官网查看
+        #self.BusinessArgs = {"aue": "raw", "auf": "audio/L16;rate=16000", "vcn": "xiaoyan", "tte": "utf8"}
+        self.Data = {"status": 2, "text": str(base64.b64encode(self.Text.encode('utf-8')), "UTF8")}
+        #使用小语种须使用以下方式，此处的unicode指的是 utf16小端的编码方式，即"UTF-16LE"”
+        #self.Data = {"status": 2, "text": str(base64.b64encode(self.Text.encode('utf-16')), "UTF8")}
+
+    # 生成url
+    def create_url(self):
+        url = 'wss://tts-api.xfyun.cn/v2/tts'
+        # 生成RFC1123格式的时间戳
+        now = datetime.now()
+        date = format_date_time(mktime(now.timetuple()))
+
+        # 拼接字符串
+        signature_origin = "host: " + "ws-api.xfyun.cn" + "\n"
+        signature_origin += "date: " + date + "\n"
+        signature_origin += "GET " + "/v2/tts " + "HTTP/1.1"
+        # 进行hmac-sha256进行加密
+        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
+                                 digestmod=hashlib.sha256).digest()
+        signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')
+
+        authorization_origin = "api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"" % (
+            self.APIKey, "hmac-sha256", "host date request-line", signature_sha)
+        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
+        # 将请求的鉴权参数组合为字典
+        v = {
+            "authorization": authorization,
+            "date": date,
+            "host": "ws-api.xfyun.cn"
+        }
+        # 拼接鉴权参数，生成url
+        url = url + '?' + urlencode(v)
+        # print("date: ",date)
+        # print("v: ",v)
+        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
+        # print('websocket url :', url)
+        return url
+
+def on_message(ws, message):
+    #输出文件
+    global outfile
+    try:
+        message =json.loads(message)
+        code = message["code"]
+        sid = message["sid"]
+        audio = message["data"]["audio"]
+        audio = base64.b64decode(audio)
+        status = message["data"]["status"]
+        if status == 2:
+            print("ws is closed")
+            ws.close()
+        if code != 0:
+            errMsg = message["message"]
+            print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
+        else:
+
+            with open(outfile, 'ab') as f:
+                f.write(audio)
+
+    except Exception as e:
+        print("receive msg,but parse exception:", e)
+
+
+
+# 收到websocket连接建立的处理
+def on_open(ws):
+    global outfile
+    global wsParam
+    def run(*args):
+        d = {"common": wsParam.CommonArgs,
+             "business": wsParam.BusinessArgs,
+             "data": wsParam.Data,
+             }
+        d = json.dumps(d)
+        # print("------>开始发送文本数据")
+        ws.send(d)
+        if os.path.exists(outfile):
+            os.remove(outfile)
+
+    thread.start_new_thread(run, ())
+
+# 收到websocket错误的处理
+def on_error(ws, error):
+    print("### error:", error)
+
+
+
+# 收到websocket关闭的处理
+def on_close(ws):
+    print("### closed ###")
+
+
+
+def xunfei_tts(APPID, APIKey, APISecret,BusinessArgsTTS, Text, OutFile):
+    global outfile
+    global wsParam 
+    outfile = OutFile
+    wsParam1 = Ws_Param(APPID,APIKey,APISecret,BusinessArgsTTS,Text)
+    wsParam = wsParam1
+    websocket.enableTrace(False)
+    wsUrl = wsParam.create_url()
+    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close)
+    ws.on_open = on_open
+    ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
+    return outfile
+     
--- a/voice/xunfei/xunfei_voice.py
+++ b/voice/xunfei/xunfei_voice.py
@@ -0,0 +1,86 @@
+#####################################################################
+#    xunfei voice service
+#     Auth: njnuko
+#     Email: njnuko@163.com
+#
+#    要使用本模块, 首先到 xfyun.cn 注册一个开发者账号,
+#    之后创建一个新应用, 然后在应用管理的语音识别或者语音合同右边可以查看APPID API Key 和 Secret Key
+#    然后在 config.json 中填入这三个值
+#
+#    配置说明：
+# {
+#  "APPID":"xxx71xxx",
+#  "APIKey":"xxxx69058exxxxxx",  #讯飞xfyun.cn控制台语音合成或者听写界面的APIKey
+#  "APISecret":"xxxx697f0xxxxxx",  #讯飞xfyun.cn控制台语音合成或者听写界面的APIKey
+#  "BusinessArgsTTS":{"aue": "lame", "sfl": 1, "auf": "audio/L16;rate=16000", "vcn": "xiaoyan", "tte": "utf8"}, #语音合成的参数，具体可以参考xfyun.cn的文档
+#  "BusinessArgsASR":{"domain": "iat", "language": "zh_cn", "accent": "mandarin", "vad_eos":10000, "dwa": "wpgs"}  #语音听写的参数，具体可以参考xfyun.cn的文档
+# }
+#####################################################################
+
+import json
+import os
+import time
+
+from bridge.reply import Reply, ReplyType
+from common.log import logger
+from common.tmp_dir import TmpDir
+from config import conf
+from voice.voice import Voice
+from .xunfei_asr import xunfei_asr
+from .xunfei_tts import xunfei_tts
+from voice.audio_convert import any_to_mp3
+import shutil
+from pydub import AudioSegment
+
+
+class XunfeiVoice(Voice):
+    def __init__(self):
+        try:
+            curdir = os.path.dirname(__file__)
+            config_path = os.path.join(curdir, "config.json")
+            conf = None
+            with open(config_path, "r") as fr:
+                conf = json.load(fr)
+            print(conf)
+            self.APPID = str(conf.get("APPID"))
+            self.APIKey = str(conf.get("APIKey"))
+            self.APISecret = str(conf.get("APISecret"))
+            self.BusinessArgsTTS = conf.get("BusinessArgsTTS")
+            self.BusinessArgsASR= conf.get("BusinessArgsASR")
+
+        except Exception as e:
+            logger.warn("XunfeiVoice init failed: %s, ignore " % e)
+
+    def voiceToText(self, voice_file):
+        # 识别本地文件
+        try:
+            logger.debug("[Xunfei] voice file name={}".format(voice_file))
+            #print("voice_file===========",voice_file)
+            #print("voice_file_type===========",type(voice_file))
+            #mp3_name, file_extension = os.path.splitext(voice_file)
+            #mp3_file = mp3_name + ".mp3"
+            #pcm_data=get_pcm_from_wav(voice_file)
+            #mp3_name, file_extension = os.path.splitext(voice_file)
+            #AudioSegment.from_wav(voice_file).export(mp3_file, format="mp3")
+            #shutil.copy2(voice_file, 'tmp/test1.wav')
+            #shutil.copy2(mp3_file, 'tmp/test1.mp3')
+            #print("voice and mp3 file",voice_file,mp3_file)
+            text = xunfei_asr(self.APPID,self.APISecret,self.APIKey,self.BusinessArgsASR,voice_file)
+            logger.info("讯飞语音识别到了: {}".format(text))
+            reply = Reply(ReplyType.TEXT, text)
+        except Exception as e:
+            logger.warn("XunfeiVoice init failed: %s, ignore " % e)
+            reply = Reply(ReplyType.ERROR, "讯飞语音识别出错了；{0}")
+        return reply
+
+    def textToVoice(self, text):
+        try:
+            # Avoid the same filename under multithreading
+            fileName = TmpDir().path() + "reply-" + str(int(time.time())) + "-" + str(hash(text) & 0x7FFFFFFF) + ".mp3"
+            return_file = xunfei_tts(self.APPID,self.APIKey,self.APISecret,self.BusinessArgsTTS,text,fileName)
+            logger.info("[Xunfei] textToVoice text={} voice file name={}".format(text, fileName))
+            reply = Reply(ReplyType.VOICE, fileName)
+        except Exception as e:
+            logger.error("[Xunfei] textToVoice error={}".format(fileName))
+            reply = Reply(ReplyType.ERROR, "抱歉，讯飞语音合成失败")
+        return reply