chore: release v2.6.4

Feat: 通过 GitHub API 进行插件安装和更新

.devcontainer/devcontainer.json

@@ -1,34 +0,0 @@
-// For format details, see https://aka.ms/devcontainer.json. For config options, see the
-// README at: https://github.com/devcontainers/templates/tree/main/src/python
-{
-	"name": "QChatGPT 3.10",
-	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
-	"image": "mcr.microsoft.com/devcontainers/python:0-3.10",
-
-	// Features to add to the dev container. More info: https://containers.dev/features.
-	// "features": {},
-
-	// Use 'forwardPorts' to make a list of ports inside the container available locally.
-	// "forwardPorts": [],
-
-	// Use 'postCreateCommand' to run commands after the container is created.
-	// "postCreateCommand": "pip3 install --user -r requirements.txt",
-
-	// Configure tool-specific properties.
-	// "customizations": {},
-	"customizations": {
-		"codespaces": {
-		  "repositories": {
-			"RockChinQ/QChatGPT": {
-			  "permissions": "write-all"
-			},
-			"RockChinQ/revLibs": {
-			  "permissions": "write-all"
-			}
-		  }
-		}
-	  }
-
-	// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
-	// "remoteUser": "root"
-}

.github/workflows/build_docker_image.yml

@@ -0,0 +1,38 @@
+name: Build Docker Image
+on:
+  #防止fork乱用action设置只能手动触发构建
+  workflow_dispatch:
+  ## 发布release的时候会自动构建
+  release:
+    types: [published]
+jobs:
+  publish-docker-image:
+    runs-on: ubuntu-latest
+    name: Build image
+    
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+      - name: judge has env GITHUB_REF  # 如果没有GITHUB_REF环境变量，则把github.ref变量赋值给GITHUB_REF
+        run: |
+          if [ -z "$GITHUB_REF" ]; then
+            export GITHUB_REF=${{ github.ref }}
+          fi
+      - name: Check GITHUB_REF env
+        run: echo $GITHUB_REF
+      - name: Get version
+        id: get_version
+        if: (startsWith(env.GITHUB_REF, 'refs/tags/')||startsWith(github.ref, 'refs/tags/')) && startsWith(github.repository, 'RockChinQ/QChatGPT')
+        run: echo ::set-output name=VERSION::${GITHUB_REF/refs\/tags\//}
+      - name: Build  # image name: rockchin/qchatgpt:<VERSION>
+        run: docker build --network=host -t rockchin/qchatgpt:${{ steps.get_version.outputs.VERSION }} -t rockchin/qchatgpt:latest .
+      - name: Login to Registry
+        run: docker login --username=${{ secrets.DOCKER_USERNAME }} --password ${{ secrets.DOCKER_PASSWORD }}
+      
+      - name: Push image
+        if: (startsWith(env.GITHUB_REF, 'refs/tags/')||startsWith(github.ref, 'refs/tags/')) && startsWith(github.repository, 'RockChinQ/QChatGPT')
+        run: docker push rockchin/qchatgpt:${{ steps.get_version.outputs.VERSION }}
+
+      - name: Push latest image
+        if: (startsWith(env.GITHUB_REF, 'refs/tags/')||startsWith(github.ref, 'refs/tags/')) && startsWith(github.repository, 'RockChinQ/QChatGPT')
+        run: docker push rockchin/qchatgpt:latest

.github/workflows/sync-wiki.yml

@@ -1,7 +1,14 @@
 name: Update Wiki
 
 on:
+  pull_request:
+    branches:
+      - master
+    paths:
+      - 'res/wiki/**'
   push:
+    branches:
+      - master
     paths:
       - 'res/wiki/**'
 
@@ -20,14 +27,22 @@ jobs:
       with:
         repository: RockChinQ/QChatGPT.wiki
         path: wiki
+    - name: Delete old wiki content
+      run: |
+        rm -rf wiki/*
     - name: Copy res/wiki content to wiki
       run: |
         cp -r res/wiki/* wiki/
+    - name: Check for changes
+      run: |
+        cd wiki
+        if git diff --quiet; then
+          echo "No changes to commit."
+          exit 0
+        fi
     - name: Commit and Push Changes
       run: |
         cd wiki
-        if git diff --name-only; then
-          git add .
-          git commit -m "Update wiki"
-          git push
-        fi
+        git add .
+        git commit -m "Update wiki"
+        git push

.github/workflows/update-cmdpriv-template.yml

@@ -21,12 +21,12 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v2
       with:
-        python-version: 3.x
+        python-version: 3.10.13
 
     - name: Install dependencies
       run: |
-        python -m pip install --upgrade pip
-        python -m pip install --upgrade  yiri-mirai openai colorlog func_timeout dulwich Pillow
+        python -m pip install --upgrade  yiri-mirai openai>=1.0.0 colorlog func_timeout dulwich Pillow CallingGPT tiktoken
+        python -m pip install -U openai>=1.0.0
 
     - name: Copy Scripts
       run: |

.github/workflows/update-override-all.yml

@@ -29,7 +29,6 @@ jobs:
       - name: Install dependencies
         run: |
           python -m pip install --upgrade pip
-          # 在此处添加您的项目所需的其他依赖
 
       - name: Copy Scripts
         run: |

.gitignore

@@ -25,3 +25,9 @@ bin/
 .vscode
 test_*
 venv/
+hugchat.json
+qcapi
+claude.json
+bard.json
+/*yaml
+!/docker-compose.yaml

CONTRIBUTING.md

@@ -17,3 +17,10 @@
 - 解决本项目或衍生项目的issues中亟待解决的问题
 - 阅读并完善本项目文档
 - 在各个社交媒体撰写本项目教程等
+
+### 代码规范
+
+- 代码中的注解`务必`符合Google风格的规范
+- 模块顶部的引入代码请遵循`系统模块`、`第三方库模块`、`自定义模块`的顺序进行引入
+- `不要`直接引入模块的特定属性，而是引入这个模块，再通过`xxx.yyy`的形式使用属性
+- 任何作用域的字段`必须`先声明后使用，并在声明处注明类型提示

Dockerfile

@@ -1,17 +1,15 @@
-FROM python:3.9-slim
+FROM python:3.10.13-bullseye
 WORKDIR /QChatGPT
 
-RUN sed -i "s/deb.debian.org/mirrors.tencent.com/g" /etc/apt/sources.list \
-    && sed -i 's|security.debian.org/debian-security|mirrors.tencent.com/debian-security|g' /etc/apt/sources.list \
-    && apt-get clean \
-    && apt-get update \
-    && apt-get -y upgrade \
-    && apt-get install -y git \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
 COPY . /QChatGPT/
 
-RUN pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
+RUN ls
 
-CMD [ "python", "main.py" ] 
+RUN python -m pip install -r requirements.txt && \
+    python -m pip install -U websockets==10.0 && \
+    python -m pip install -U httpcore httpx openai
+
+# 生成配置文件
+RUN python main.py
+
+CMD [ "python", "main.py" ]

README.md

@@ -1,29 +1,59 @@
-# QChatGPT🤖
 
 <p align="center">
-<img src="res/social.png" alt="QChatGPT" width="640" />
+<img src="res/logo.png" alt="QChatGPT" width="120" />
 </p>
 
-[English](README_en.md) | 简体中文
+<div align="center">
 
-[![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/QChatGPT?style=flat-square)](https://github.com/RockChinQ/QChatGPT/releases/latest)
+# QChatGPT
 
-> 2023/4/27 正在对纯Python实现的QQ登录框架、YAML配置文件、异步编程等功能进行概念验证，欢迎体验[LightQChat](https://github.com/RockChinQ/LightQChat)项目  
-> 2023/4/24 支持使用go-cqhttp登录QQ，请查看[此文档](https://github.com/RockChinQ/QChatGPT/wiki/go-cqhttp%E9%85%8D%E7%BD%AE)  
-> 2023/3/18 现已支持GPT-4 API（内测），请查看`config-template.py`中的`completion_api_params`  
-> 2023/3/15 逆向库已支持New Bing，使用方法查看[插件文档](https://github.com/RockChinQ/revLibs)  
+<!-- 高稳定性/持续迭代/架构清晰/支持插件/高可自定义的 ChatGPT QQ机器人框架 -->
+<!-- “当然！下面是一个使用Java编写的快速排序算法的示例代码” -->
 
-- 到[项目Wiki](https://github.com/RockChinQ/QChatGPT/wiki)可了解项目详细信息
-- 官方交流、答疑群: 656285629  
-  - **进群提问前请您`确保`已经找遍文档和issue均无法解决**  
-- 社区群（内有一键部署包、图形化界面等资源）: 362515018
-- QQ频道机器人见[QQChannelChatGPT](https://github.com/Soulter/QQChannelChatGPT)
-- 欢迎各种形式的贡献，请查看[贡献指引](CONTRIBUTING.md)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/QChatGPT)](https://github.com/RockChinQ/QChatGPT/releases/latest)
+<a href="https://hub.docker.com/repository/docker/rockchin/qchatgpt">
+    <img src="https://img.shields.io/docker/pulls/rockchin/qchatgpt?color=blue" alt="docker pull">
+  </a>
+![Wakapi Count](https://wakapi.dev/api/badge/RockChinQ/interval:any/project:QChatGPT)
+<img src="https://img.shields.io/badge/python-3.9+-blue.svg" alt="python">
+<a href="https://github.com/RockChinQ/QChatGPT/wiki">
+<img alt="Static Badge" src="https://img.shields.io/badge/%E6%9F%A5%E7%9C%8B-%E9%A1%B9%E7%9B%AEWiki-blue">
+</a><br/>
+<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=66-aWvn8cbP4c1ut_1YYkvvGVeEtyTH8&authKey=pTaKBK5C%2B8dFzQ4XlENf6MHTCLaHnlKcCRx7c14EeVVlpX2nRSaS8lJm8YeM4mCU&noverify=0&group_code=195992197">
+<img alt="Static Badge" src="https://img.shields.io/badge/%E5%AE%98%E6%96%B9%E7%BE%A4-195992197-purple">
+</a>
+<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=nC80H57wmKPwRDLFeQrDDjVl81XuC21P&authKey=2wTUTfoQ5v%2BD4C5zfpuR%2BSPMDqdXgDXA%2FS2wHI1NxTfWIG%2B%2FqK08dgyjMMOzhXa9&noverify=0&group_code=738382634">
+<img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-738382634-purple">
+</a>
+<a href="https://qchatgpt.rockchin.top">
+<img alt="Static Badge" src="https://img.shields.io/badge/%E6%9F%A5%E7%9C%8B-%E7%A4%BE%E5%8C%BA%E7%BC%96%E5%86%99%E4%BD%BF%E7%94%A8%E6%89%8B%E5%86%8C-blue">
+</a>
+<a href="https://www.bilibili.com/video/BV14h4y1w7TC">
+<img alt="Static Badge" src="https://img.shields.io/badge/%E8%A7%86%E9%A2%91%E6%95%99%E7%A8%8B-208647">
+</a>
+<a href="https://www.bilibili.com/video/BV11h4y1y74H">
+<img alt="Static Badge" src="https://img.shields.io/badge/Linux%E9%83%A8%E7%BD%B2%E8%A7%86%E9%A2%91-208647">
+</a>
 
-## 🍺模型适配一览
 
 <details>
-<summary>点击此处展开</summary>
+<summary>回复效果演示（带有联网插件）</summary>
+<img alt="联网演示GIF" src="res/webwlkr-demo.gif" width="300px">
+</details>
+</div>
+
+> **NOTE**  
+> 2023/9/13 现已支持通过[One API](https://github.com/songquanpeng/one-api)接入 Azure、Anthropic Claude、Google PaLM 2、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问以及 360 智脑等模型，欢迎测试并反馈。  
+> 2023/8/29 [逆向库插件](https://github.com/RockChinQ/revLibs)已支持 gpt4free  
+> 2023/8/14 [逆向库插件](https://github.com/RockChinQ/revLibs)已支持Claude和Bard  
+> 2023/7/29 支持使用GPT的Function Calling功能实现类似ChatGPT Plugin的效果，请见[Wiki内容函数](https://github.com/RockChinQ/QChatGPT/wiki/6-%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8-%E5%86%85%E5%AE%B9%E5%87%BD%E6%95%B0)  
+
+<details>
+<summary>
+
+## 🍺模型一览和功能点
+
+</summary>
 
 ### 文字对话
 
@@ -33,7 +63,15 @@
 - ChatGPT网页版GPT-3.5模型, 由[插件](https://github.com/RockChinQ/revLibs)接入
 - ChatGPT网页版GPT-4模型, 目前需要ChatGPT Plus订阅, 由[插件](https://github.com/RockChinQ/revLibs)接入
 - New Bing逆向库, 由[插件](https://github.com/RockChinQ/revLibs)接入
-- HuggingChat, 由[插件](https://github.com/RockChinQ/revLibs)接入, 无需账号，仅支持英文
+- HuggingChat, 由[插件](https://github.com/RockChinQ/revLibs)接入, 仅支持英文
+- Claude, 由[插件](https://github.com/RockChinQ/revLibs)接入
+- Google Bard, 由[插件](https://github.com/RockChinQ/revLibs)接入
+
+### 模型聚合平台
+
+- [One API](https://github.com/songquanpeng/one-api), Azure、Anthropic Claude、Google PaLM 2、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问以及 360 智脑等模型的官方接口转换成 OpenAI API 接入，QChatGPT 原生支持，您需要先配置 One API，之后在`config.py`中设置反向代理和`One API`的密钥后使用。
+- [gpt4free](https://github.com/xtekky/gpt4free), 破解以免费使用多个平台的各种文字模型, 由[插件](https://github.com/RockChinQ/revLibs)接入, 无需鉴权, 稳定性较差。
+- [Poe](https://poe.com), 破解免费使用Poe上多个平台的模型, 由[oliverkirk-sudo/ChatPoeBot](https://github.com/oliverkirk-sudo/ChatPoeBot)接入（由于 Poe 上可用的大部分模型现已通过[revLibs插件](https://github.com/RockChinQ/revLubs)或其他方式接入，此插件现已停止维护）。
 
 ### 故事续写
 
@@ -41,7 +79,7 @@
 
 ### 图片绘制
 
-- OpenAI DALL·E模型, 本项目原生支持, 使用方法查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E5%8A%9F%E8%83%BD%E7%82%B9%E5%88%97%E4%B8%BE)
+- OpenAI DALL·E模型, 本项目原生支持, 使用方法查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/1-%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E5%8A%9F%E8%83%BD%E7%82%B9%E5%88%97%E4%B8%BE)
 - NovelAI API, 由[插件](https://github.com/dominoar/QCPNovelAi)接入
 
 ### 语音生成
@@ -50,14 +88,9 @@
 - Plachta/VITS-Umamusume-voice-synthesizer, 由[插件](https://github.com/oliverkirk-sudo/chat_voice)接入
 
 
-</details>
-
 安装[此插件](https://github.com/RockChinQ/Switcher)，即可在使用中切换文字模型。
 
-## ✅功能
-
-<details>
-<summary>点击此处展开概述</summary>
+### 功能点
 
 <details>
 <summary>✅支持敏感词过滤，避免账号风险</summary>
@@ -84,30 +117,31 @@
 </details>
 
 <details>
-<summary>✅支持预设指令文字</summary>
+<summary>✅支持预设文字</summary>
 
   - 支持以自然语言预设文字，自定义机器人人格等信息
   - 详见`config.py`中的`default_prompt`部分
-  - 支持设置多个预设情景，并通过!reset、!default等指令控制，详细请查看[wiki指令](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%8C%87%E4%BB%A4)
+  - 支持设置多个预设情景，并通过!reset、!default等命令控制，详细请查看[wiki命令](https://github.com/RockChinQ/QChatGPT/wiki/1-%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%8C%87%E4%BB%A4)
 </details>
 
 <details>
 <summary>✅支持对话、绘图等模型，可玩性更高</summary>
 
   - 现已支持OpenAI的对话`Completion API`和绘图`Image API`
-  - 向机器人发送指令`!draw <prompt>`即可使用绘图模型
+  - 向机器人发送命令`!draw <prompt>`即可使用绘图模型
 </details>
 <details>
-<summary>✅支持指令控制热重载、热更新</summary>
+<summary>✅支持命令控制热重载、热更新</summary>
 
-  - 允许在运行期间修改`config.py`或其他代码后，以管理员账号向机器人发送指令`!reload`进行热重载，无需重启
-  - 运行期间允许以管理员账号向机器人发送指令`!update`进行热更新，拉取远程最新代码并执行热重载
+  - 允许在运行期间修改`config.py`或其他代码后，以管理员账号向机器人发送命令`!reload`进行热重载，无需重启
+  - 运行期间允许以管理员账号向机器人发送命令`!update`进行热更新，拉取远程最新代码并执行热重载
 </details>
 <details>
 <summary>✅支持插件加载🧩</summary>
 
   - 自行实现插件加载器及相关支持
-  - 详细查看[插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)
+  - 支持GPT的Function Calling功能
+  - 详细查看[插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/5-%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)
 </details>
 <details>
 <summary>✅私聊、群聊黑名单机制</summary>
@@ -151,16 +185,28 @@
 <br/>
 <img alt="New Bing" src="res/screenshots/person_newbing.png" width="400"/>
 
+详情请查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/1-%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8)
+
 </details>
 
-详情请查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E5%8A%9F%E8%83%BD%E7%82%B9%E5%88%97%E4%B8%BE)
+<details>
 
-## 🔩部署
+<summary>
 
-**部署过程中遇到任何问题，请先在[QChatGPT](https://github.com/RockChinQ/QChatGPT/issues)或[qcg-installer](https://github.com/RockChinQ/qcg-installer/issues)的issue里进行搜索**  
+## 🚀部署和使用
+
+</summary>
+
+> **NOTE**  
+> - 部署过程中遇到任何问题，请先在[QChatGPT](https://github.com/RockChinQ/QChatGPT/issues)或[qcg-installer](https://github.com/RockChinQ/qcg-installer/issues)的issue里进行搜索  
+> - QChatGPT需要Python版本>=3.9  
+> - 官方群和社区群群号请见文档顶部
 
 ### - 注册OpenAI账号
 
+<details>
+<summary>点此查看步骤</summary>
+
 > 若您要直接使用非OpenAI的模型（如New Bing），可跳过此步骤，直接进行之后的部署，完成后按照相关插件的文档进行配置即可
 
 参考以下文章自行注册
@@ -171,17 +217,18 @@
 注册成功后请前往[个人中心查看](https://beta.openai.com/account/api-keys)api_key  
 完成注册后，使用以下自动化或手动部署步骤
 
-### - 自动化部署
+</details>
+
+### - Docker或自动化部署
 
 <details>
 <summary>展开查看，以下方式二选一，Linux首选Docker，Windows首选安装器</summary>
 
 #### Docker方式
 
-> docker方式目前仅支持使用mirai登录，若您不**熟悉**docker的操作及相关知识，强烈建议您使用其他方式部署，我们**不会且难以**解决您主机上多个容器的连接问题。
+> docker方式较为复杂，若您不**熟悉**docker的操作及相关知识，强烈建议您使用其他方式部署，我们**不会且难以**解决您主机上多个容器的连接问题。
 
-请查看[此文档](res/docs/docker_deploy.md)  
-由[@mikumifa](https://github.com/mikumifa)贡献
+请查看[此文档](res/docs/docker_deployment.md)  
 
 #### 安装器方式
 
@@ -213,7 +260,7 @@
 <details>
 <summary>go-cqhttp</summary>
 
-1. 按照[此文档](https://github.com/RockChinQ/QChatGPT/wiki/go-cqhttp%E9%85%8D%E7%BD%AE)配置go-cqhttp
+1. 按照[此文档](https://github.com/RockChinQ/QChatGPT/wiki/9-go-cqhttp%E9%85%8D%E7%BD%AE)配置go-cqhttp
 2. 启动go-cqhttp，确保登录成功，保持运行
 3. 在下一步配置主程序时请在config.py中将`msg_source_adapter`设为`nakuru`
 
@@ -231,7 +278,7 @@ cd QChatGPT
 2. 安装依赖
 
 ```bash
-pip3 install requests yiri-mirai openai colorlog func_timeout dulwich Pillow nakuru-project-idk
+pip3 install requests yiri-mirai openai colorlog func_timeout dulwich Pillow nakuru-project-idk CallingGPT tiktoken
 ```
 
 3. 运行一次主程序，生成配置文件
@@ -260,48 +307,57 @@ python3 main.py
 
 </details>
 
-## 🚀使用
+**部署完成后必看: [命令说明](https://github.com/RockChinQ/QChatGPT/wiki/1-%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%8C%87%E4%BB%A4)**  
 
-**部署完成后必看: [指令说明](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%8C%87%E4%BB%A4)**  
-所有功能查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E4%BD%BF%E7%94%A8%E6%96%B9%E5%BC%8F)  
+所有功能查看[Wiki功能使用页](https://github.com/RockChinQ/QChatGPT/wiki/1-%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8)  
+
+</details>
+
+<details>
+<summary>
 
 ## 🧩插件生态
 
-现已支持自行开发插件对功能进行扩展或自定义程序行为  
-详见[Wiki插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)  
-开发教程见[Wiki插件开发页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E5%BC%80%E5%8F%91)
+</summary>
 
-<details>
-<summary>查看插件列表</summary>
+⭐我们已经支持了[GPT的Function Calling能力](https://platform.openai.com/docs/guides/gpt/function-calling)，请查看[Wiki内容函数](https://github.com/RockChinQ/QChatGPT/wiki/6-%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8-%E5%86%85%E5%AE%B9%E5%87%BD%E6%95%B0)  
 
-### 示例插件
+> 使用方法见：[Wiki插件使用](https://github.com/RockChinQ/QChatGPT/wiki/5-%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)  
+> 开发教程见：[Wiki插件开发](https://github.com/RockChinQ/QChatGPT/wiki/7-%E6%8F%92%E4%BB%B6%E5%BC%80%E5%8F%91)
 
-在`tests/plugin_examples`目录下，将其整个目录复制到`plugins`目录下即可使用
 
-- `cmdcn` - 主程序指令中文形式
-- `hello_plugin` - 在收到消息`hello`时回复相应消息
-- `urlikethisijustsix` - 收到冒犯性消息时回复相应消息
+[所有插件列表](https://github.com/stars/RockChinQ/lists/qchatgpt-%E6%8F%92%E4%BB%B6)，欢迎提出issue以提交新的插件
 
-### 更多
+### 部分插件
 
-欢迎提交新的插件
-
-- [revLibs](https://github.com/RockChinQ/revLibs) - 将ChatGPT网页版接入此项目，关于[官方接口和网页版有什么区别](https://github.com/RockChinQ/QChatGPT/wiki/%E5%AE%98%E6%96%B9%E6%8E%A5%E5%8F%A3%E3%80%81ChatGPT%E7%BD%91%E9%A1%B5%E7%89%88%E3%80%81ChatGPT-API%E5%8C%BA%E5%88%AB)
-- [Switcher](https://github.com/RockChinQ/Switcher) - 支持通过指令切换使用的模型
+- [WebwlkrPlugin](https://github.com/RockChinQ/WebwlkrPlugin) - 让机器人能联网！！
+- [revLibs](https://github.com/RockChinQ/revLibs) - 将ChatGPT网页版、Claude、Bard、Hugging Chat等破解版接入此项目，关于[官方接口和网页版有什么区别](https://github.com/RockChinQ/QChatGPT/wiki/8-%E5%AE%98%E6%96%B9%E6%8E%A5%E5%8F%A3%E3%80%81ChatGPT%E7%BD%91%E9%A1%B5%E7%89%88%E3%80%81ChatGPT-API%E5%8C%BA%E5%88%AB)
+- [Switcher](https://github.com/RockChinQ/Switcher) - 支持通过命令切换使用的模型
 - [hello_plugin](https://github.com/RockChinQ/hello_plugin) - `hello_plugin` 的储存库形式，插件开发模板
-- [dominoar/QChatPlugins](https://github.com/dominoar/QchatPlugins) - dominoar编写的诸多新功能插件（语音输出、Ranimg、屏蔽词规则等）
-- [dominoar/QCP-NovelAi](https://github.com/dominoar/QCP-NovelAi) - NovelAI 故事叙述与绘画
-- [oliverkirk-sudo/chat_voice](https://github.com/oliverkirk-sudo/chat_voice) - 文字转语音输出，使用HuggingFace上的[VITS-Umamusume-voice-synthesizer模型](https://huggingface.co/spaces/Plachta/VITS-Umamusume-voice-synthesizer)
+- [oliverkirk-sudo/chat_voice](https://github.com/oliverkirk-sudo/chat_voice) - 文字转语音输出，支持HuggingFace上的[VITS模型](https://huggingface.co/spaces/Plachta/VITS-Umamusume-voice-synthesizer),azure语音合成,vits本地语音合成,sovits语音合成
 - [RockChinQ/WaitYiYan](https://github.com/RockChinQ/WaitYiYan) - 实时获取百度`文心一言`等待列表人数
 - [chordfish-k/QChartGPT_Emoticon_Plugin](https://github.com/chordfish-k/QChartGPT_Emoticon_Plugin) - 使机器人根据回复内容发送表情包
 - [oliverkirk-sudo/ChatPoeBot](https://github.com/oliverkirk-sudo/ChatPoeBot) - 接入[Poe](https://poe.com/)上的机器人
 - [lieyanqzu/WeatherPlugin](https://github.com/lieyanqzu/WeatherPlugin) - 天气查询插件
 - [SysStatPlugin](https://github.com/RockChinQ/SysStatPlugin) - 查看系统状态
+- [oliverkirk-sudo/qchat_system_status](https://github.com/oliverkirk-sudo/qchat_system_status) - 以图片的形式输出系统状态
+- [oliverkirk-sudo/QChatAIPaint](https://github.com/oliverkirk-sudo/QChatAIPaint) - 基于[Holara](https://holara.ai/)的ai绘图插件
+- [oliverkirk-sudo/QChatCodeRunner](https://github.com/oliverkirk-sudo/QChatCodeRunner) - 基于[CodeRunner-Plugin](https://github.com/oliverkirk-sudo/CodeRunner-Plugin)的代码运行与图表生成插件
+- [oliverkirk-sudo/QChatWeather](https://github.com/oliverkirk-sudo/QChatWeather) - 生成好看的天气图片，基于和风天气
+- [oliverkirk-sudo/QChatMarkdown](https://github.com/oliverkirk-sudo/QChatMarkdown) - 将机器人输出的markdown转换为图片，基于[playwright](https://playwright.dev/python/docs/intro)
+- [ruuuux/WikipediaSearch](https://github.com/ruuuux/WikipediaSearch) - Wikipedia 搜索插件
+
 </details>
 
-## 😘致谢
+<details>
 
-- [@the-lazy-me](https://github.com/the-lazy-me) 为本项目制作[视频教程](https://www.bilibili.com/video/BV15v4y1X7aP)
+<summary>
+
+## 😘致谢和赞赏
+
+</summary>
+
+- [@the-lazy-me](https://github.com/the-lazy-me) 为本项目制作[视频教程](https://www.bilibili.com/video/BV1Y14y1Q7kQ)
 - [@mikumifa](https://github.com/mikumifa) 本项目Docker部署仓库开发者
 - [@dominoar](https://github.com/dominoar) 为本项目开发多种插件
 - [@万神的星空](https://github.com/qq255204159)  整合包发行
@@ -309,6 +365,6 @@ python3 main.py
 
 以及所有[贡献者](https://github.com/RockChinQ/QChatGPT/graphs/contributors)和其他为本项目提供支持的朋友们。
 
-## 👍赞赏
-
 <img alt="赞赏码" src="res/mm_reward_qrcode_1672840549070.png" width="400" height="400"/>
+
+</details>

README_en.md

@@ -7,6 +7,7 @@
 English | [简体中文](README.md)
 
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/QChatGPT?style=flat-square)](https://github.com/RockChinQ/QChatGPT/releases/latest)
+![Wakapi Count](https://wakapi.dev/api/badge/RockChinQ/interval:any/project:QChatGPT)
 
 - Refer to [Wiki](https://github.com/RockChinQ/QChatGPT/wiki) to get further information.  
 - Official QQ group: 656285629  
@@ -27,7 +28,7 @@ English | [简体中文](README.md)
 - ChatGPT website edition (GPT-3.5), see [revLibs plugin](https://github.com/RockChinQ/revLibs)
 - ChatGPT website edition (GPT-4), ChatGPT plus subscription required, see [revLibs plugin](https://github.com/RockChinQ/revLibs)
 - New Bing, see [revLibs plugin](https://github.com/RockChinQ/revLibs)
-- HuggingChat, see [revLibs plugin](https://github.com/RockChinQ/revLibs), no accounts required, English only
+- HuggingChat, see [revLibs plugin](https://github.com/RockChinQ/revLibs), English only
 
 ### Story
 

config-template.py

@@ -62,6 +62,9 @@ nakuru_config = {
 #     },
 #     "reverse_proxy": "http://example.com:12345/v1"
 # }
+#
+# 作者开设公用反向代理地址: https://api.openai.rockchin.top/v1
+# 随时可能关闭，仅供测试使用，有条件建议使用正向代理或者自建反向代理
 openai_config = {
     "api_key": {
         "default": "openai_api_key"
@@ -70,6 +73,11 @@ openai_config = {
     "reverse_proxy": None
 }
 
+# api-key切换策略
+# active：每次请求时都会切换api-key
+# passive：仅当api-key超额时才会切换api-key
+switch_strategy = "active"
+
 # [必需] 管理员QQ号，用于接收报错等通知及执行管理员级别指令
 # 支持多个管理员，可以使用list形式设置，例如：
 # admin_qq = [12345678, 87654321]
@@ -152,7 +160,6 @@ response_rules = {
 }
 
 
-
 # 消息忽略规则
 # 适用于私聊及群聊
 # 符合此规则的消息将不会被响应
@@ -195,32 +202,61 @@ encourage_sponsor_at_start = True
 # 注意：较大的prompt_submit_length会导致OpenAI账户额度消耗更快
 prompt_submit_length = 2048
 
+# 是否在token超限报错时自动重置会话
+# 可在tips.py中编辑提示语
+auto_reset = True
+
 # OpenAI补全API的参数
 # 请在下方填写模型，程序自动选择接口
+# 模型文档：https://platform.openai.com/docs/models
 # 现已支持的模型有：
 # 
-#    'gpt-4'
-#    'gpt-4-0314'
-#    'gpt-4-32k'
-#    'gpt-4-32k-0314'
-#    'gpt-3.5-turbo'
-#    'gpt-3.5-turbo-0301'
-#    'text-davinci-003'
-#    'text-davinci-002'
-#    'code-davinci-002'
-#    'code-cushman-001'
-#    'text-curie-001'
-#    'text-babbage-001'
-#    'text-ada-001'
+# ChatCompletions 接口：
+# # GPT 4 系列
+# "gpt-4-1106-preview",
+# "gpt-4-vision-preview",
+# "gpt-4",
+# "gpt-4-32k",
+# "gpt-4-0613",
+# "gpt-4-32k-0613",
+# "gpt-4-0314", # legacy
+# "gpt-4-32k-0314", # legacy
+# # GPT 3.5 系列
+# "gpt-3.5-turbo-1106",
+# "gpt-3.5-turbo",
+# "gpt-3.5-turbo-16k",
+# "gpt-3.5-turbo-0613", # legacy
+# "gpt-3.5-turbo-16k-0613", # legacy
+# "gpt-3.5-turbo-0301", # legacy
+# 
+# Completions接口：
+# "text-davinci-003", # legacy
+# "text-davinci-002", # legacy
+# "code-davinci-002", # legacy
+# "code-cushman-001", # legacy
+# "text-curie-001", # legacy
+# "text-babbage-001", # legacy
+# "text-ada-001", # legacy
+# "gpt-3.5-turbo-instruct",
 #
 # 具体请查看OpenAI的文档: https://beta.openai.com/docs/api-reference/completions/create
 # 请将内容修改到config.py中，请勿修改config-template.py
+# 
+# 支持通过 One API 接入多种模型，请在上方的openai_config中设置One API的代理地址，
+# 并在此填写您要使用的模型名称，详细请参考：https://github.com/songquanpeng/one-api
+# 
+# 支持的 One API 模型：
+# "SparkDesk",
+# "chatglm_pro",
+# "chatglm_std",
+# "chatglm_lite",
+# "qwen-v1",
+# "qwen-plus-v1",
+# "ERNIE-Bot",
+# "ERNIE-Bot-turbo",
 completion_api_params = {
     "model": "gpt-3.5-turbo",
     "temperature": 0.9,  # 数值越低得到的回答越理性，取值范围[0, 1]
-    "top_p": 1,  # 生成的文本的文本与要求的符合度, 取值范围[0, 1]
-    "frequency_penalty": 0.2,
-    "presence_penalty": 1.0,
 }
 
 # OpenAI的Image API的参数
@@ -229,14 +265,22 @@ image_api_params = {
     "size": "256x256",  # 图片尺寸，支持256x256, 512x512, 1024x1024
 }
 
+# 跟踪函数调用
+# 为True时，在每次GPT进行Function Calling时都会输出发送一条回复给用户
+# 同时，一次提问内所有的Function Calling和普通回复消息都会单独发送给用户
+trace_function_calls = False
+
 # 群内回复消息时是否引用原消息
-quote_origin = True
+quote_origin = False
+
+# 群内回复消息时是否at发送者
+at_sender = False
 
 # 回复绘图时是否包含图片描述
 include_image_description = True
 
 # 消息处理的超时时间，单位为秒
-process_message_timeout = 30
+process_message_timeout = 120
 
 # 回复消息时是否显示[GPT]前缀
 show_prefix = False
@@ -330,7 +374,7 @@ rate_limitation = {
 rate_limit_strategy = "drop"
 
 # 是否在启动时进行依赖库更新
-upgrade_dependencies = True
+upgrade_dependencies = False
 
 # 是否上报统计信息
 # 用于统计机器人的使用情况，不会收集任何用户信息

docker-compose.yaml

@@ -0,0 +1,18 @@
+version: "3"
+
+services:
+  qchatgpt:
+    image: rockchin/qchatgpt:latest
+    volumes:
+      - ./config.py:/QChatGPT/config.py
+      - ./banlist.py:/QChatGPT/banlist.py
+      - ./cmdpriv.json:/QChatGPT/cmdpriv.json
+      - ./sensitive.json:/QChatGPT/sensitive.json
+      - ./tips.py:/QChatGPT/tips.py
+      # 目录映射
+      - ./plugins:/QChatGPT/plugins
+      - ./scenario:/QChatGPT/scenario
+      - ./temp:/QChatGPT/temp
+      - ./logs:/QChatGPT/logs
+    restart: always
+    # 根据具体环境配置网络

main.py

@@ -47,7 +47,7 @@ def init_db():
 
 def ensure_dependencies():
     import pkg.utils.pkgmgr as pkgmgr
-    pkgmgr.run_pip(["install", "openai", "Pillow", "nakuru-project-idk", "--upgrade",
+    pkgmgr.run_pip(["install", "openai", "Pillow", "nakuru-project-idk", "CallingGPT", "tiktoken", "--upgrade",
                     "-i", "https://pypi.tuna.tsinghua.edu.cn/simple",
                     "--trusted-host", "pypi.tuna.tsinghua.edu.cn"])
 
@@ -60,35 +60,42 @@ def override_config():
     # 检查override.json覆盖
     if os.path.exists("override.json") and use_override:
         override_json = json.load(open("override.json", "r", encoding="utf-8"))
+        overrided = []
         for key in override_json:
             if hasattr(config, key):
                 setattr(config, key, override_json[key])
-                logging.info("覆写配置[{}]为[{}]".format(key, override_json[key]))
+                # logging.info("覆写配置[{}]为[{}]".format(key, override_json[key]))
+                overrided.append(key)
             else:
                 logging.error("无法覆写配置[{}]为[{}]，该配置不存在，请检查override.json是否正确".format(key, override_json[key]))
+        if len(overrided) > 0:
+            logging.info("已根据override.json覆写配置项: {}".format(", ".join(overrided)))
 
 
 # 临时函数，用于加载config和上下文，未来统一放在config类
 def load_config():
     logging.info("检查config模块完整性.")
     # 完整性校验
+    non_exist_keys = []
+
     is_integrity = True
     config_template = importlib.import_module('config-template')
     config = importlib.import_module('config')
     for key in dir(config_template):
         if not key.startswith("__") and not hasattr(config, key):
             setattr(config, key, getattr(config_template, key))
-            logging.warning("[{}]不存在".format(key))
+            # logging.warning("[{}]不存在".format(key))
+            non_exist_keys.append(key)
             is_integrity = False
     
     if not is_integrity:
-        logging.warning("配置文件不完整，您可以依据config-template.py检查config.py")
+        logging.warning("以下配置字段不存在: {}".format(", ".join(non_exist_keys)))
 
     # 检查override.json覆盖
     override_config()
 
     if not is_integrity:
-        logging.warning("以上不存在的配置已被设为默认值，将在3秒后继续启动... ")
+        logging.warning("以上不存在的配置已被设为默认值，您可以依据config-template.py检查config.py，将在3秒后继续启动... ")
         time.sleep(3)
 
     # 存进上下文
@@ -97,6 +104,8 @@ def load_config():
 
 def complete_tips():
     """根据tips-custom-template模块补全tips模块的属性"""
+    non_exist_keys = []
+
     is_integrity = True
     logging.info("检查tips模块完整性.")
     tips_template = importlib.import_module('tips-custom-template')
@@ -104,10 +113,12 @@ def complete_tips():
     for key in dir(tips_template):
         if not key.startswith("__") and not hasattr(tips, key):
             setattr(tips, key, getattr(tips_template, key))
-            logging.warning("[{}]不存在".format(key))
+            # logging.warning("[{}]不存在".format(key))
+            non_exist_keys.append(key)
             is_integrity = False
 
     if not is_integrity:
+        logging.warning("以下提示语字段不存在: {}".format(", ".join(non_exist_keys)))
         logging.warning("tips模块不完整，您可以依据tips-custom-template.py检查tips.py")
         logging.warning("以上配置已被设为默认值，将在3秒后继续启动... ")
         time.sleep(3)
@@ -134,127 +145,147 @@ def start(first_time_init=False):
 
     known_exception_caught = False
     try:
-
-        sh = reset_logging()
-        pkg.utils.context.context['logger_handler'] = sh
-
-        # 检查是否设置了管理员
-        if not (hasattr(config, 'admin_qq') and config.admin_qq != 0):
-            # logging.warning("未设置管理员QQ,管理员权限指令及运行告警将无法使用,如需设置请修改config.py中的admin_qq字段")
-            while True:
-                try:
-                    config.admin_qq = int(input("未设置管理员QQ,管理员权限指令及运行告警将无法使用,请输入管理员QQ号: "))
-                    # 写入到文件
-
-                    # 读取文件
-                    config_file_str = ""
-                    with open("config.py", "r", encoding="utf-8") as f:
-                        config_file_str = f.read()
-                    # 替换
-                    config_file_str = config_file_str.replace("admin_qq = 0", "admin_qq = " + str(config.admin_qq))
-                    # 写入
-                    with open("config.py", "w", encoding="utf-8") as f:
-                        f.write(config_file_str)
-
-                    print("管理员QQ已设置，如需修改请修改config.py中的admin_qq字段")
-                    time.sleep(4)
-                    break
-                except ValueError:
-                    print("请输入数字")
-
-        import pkg.openai.manager
-        import pkg.database.manager
-        import pkg.openai.session
-        import pkg.qqbot.manager
-        import pkg.openai.dprompt
-        import pkg.qqbot.cmds.aamgr
-        
         try:
-            pkg.openai.dprompt.register_all()
-            pkg.qqbot.cmds.aamgr.register_all()
-            pkg.qqbot.cmds.aamgr.apply_privileges()
-        except Exception as e:
-            logging.error(e)
-            traceback.print_exc()
 
-        # 配置openai api_base
-        if "reverse_proxy" in config.openai_config and config.openai_config["reverse_proxy"] is not None:
+            sh = reset_logging()
+            pkg.utils.context.context['logger_handler'] = sh
+
+            # 检查是否设置了管理员
+            if not (hasattr(config, 'admin_qq') and config.admin_qq != 0):
+                # logging.warning("未设置管理员QQ,管理员权限指令及运行告警将无法使用,如需设置请修改config.py中的admin_qq字段")
+                while True:
+                    try:
+                        config.admin_qq = int(input("未设置管理员QQ,管理员权限指令及运行告警将无法使用,请输入管理员QQ号: "))
+                        # 写入到文件
+
+                        # 读取文件
+                        config_file_str = ""
+                        with open("config.py", "r", encoding="utf-8") as f:
+                            config_file_str = f.read()
+                        # 替换
+                        config_file_str = config_file_str.replace("admin_qq = 0", "admin_qq = " + str(config.admin_qq))
+                        # 写入
+                        with open("config.py", "w", encoding="utf-8") as f:
+                            f.write(config_file_str)
+
+                        print("管理员QQ已设置，如需修改请修改config.py中的admin_qq字段")
+                        time.sleep(4)
+                        break
+                    except ValueError:
+                        print("请输入数字")
+
+            import pkg.openai.manager
+            import pkg.database.manager
+            import pkg.openai.session
+            import pkg.qqbot.manager
+            import pkg.openai.dprompt
+            import pkg.qqbot.cmds.aamgr
+            
+            try:
+                pkg.openai.dprompt.register_all()
+                pkg.qqbot.cmds.aamgr.register_all()
+                pkg.qqbot.cmds.aamgr.apply_privileges()
+            except Exception as e:
+                logging.error(e)
+                traceback.print_exc()
+
+            # 配置OpenAI proxy
             import openai
-            openai.api_base = config.openai_config["reverse_proxy"]
+            openai.proxies = None  # 先重置，因为重载后可能需要清除proxy
+            if "http_proxy" in config.openai_config and config.openai_config["http_proxy"] is not None:
+                openai.proxies = {
+                    "http": config.openai_config["http_proxy"],
+                    "https": config.openai_config["http_proxy"]
+                }
 
-        # 主启动流程
-        database = pkg.database.manager.DatabaseManager()
+            # 配置openai api_base
+            if "reverse_proxy" in config.openai_config and config.openai_config["reverse_proxy"] is not None:
+                openai.base_url = config.openai_config["reverse_proxy"]
 
-        database.initialize_database()
+            # 主启动流程
+            database = pkg.database.manager.DatabaseManager()
 
-        openai_interact = pkg.openai.manager.OpenAIInteract(config.openai_config['api_key'])
+            database.initialize_database()
 
-        # 加载所有未超时的session
-        pkg.openai.session.load_sessions()
+            openai_interact = pkg.openai.manager.OpenAIInteract(config.openai_config['api_key'])
 
-        # 初始化qq机器人
-        qqbot = pkg.qqbot.manager.QQBotManager(first_time_init=first_time_init)
+            # 加载所有未超时的session
+            pkg.openai.session.load_sessions()
 
-        # 加载插件
-        import pkg.plugin.host
-        pkg.plugin.host.load_plugins()
+            # 初始化qq机器人
+            qqbot = pkg.qqbot.manager.QQBotManager(first_time_init=first_time_init)
 
-        pkg.plugin.host.initialize_plugins()
+            # 加载插件
+            import pkg.plugin.host
+            pkg.plugin.host.load_plugins()
 
-        if first_time_init:  # 不是热重载之后的启动,则启动新的bot线程
+            pkg.plugin.host.initialize_plugins()
 
-            import mirai.exceptions
+            if first_time_init:  # 不是热重载之后的启动,则启动新的bot线程
 
-            def run_bot_wrapper():
-                global known_exception_caught
-                try:
-                    logging.info("使用账号: {}".format(qqbot.bot_account_id))
-                    qqbot.adapter.run_sync()
-                except TypeError as e:
-                    if str(e).__contains__("argument 'debug'"):
-                        logging.error(
-                            "连接bot失败:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/82".format(e))
-                        known_exception_caught = True
-                    elif str(e).__contains__("As of 3.10, the *loop*"):
-                        logging.error(
-                            "Websockets版本过低:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/5".format(e))
-                        known_exception_caught = True
+                import mirai.exceptions
 
-                except websockets.exceptions.InvalidStatus as e:
-                    logging.error(
-                        "mirai-api-http端口无法使用:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/22".format(
-                            e))
-                    known_exception_caught = True
-                except mirai.exceptions.NetworkError as e:
-                    logging.error("连接mirai-api-http失败:{}, 请检查是否已按照文档启动mirai".format(e))
-                    known_exception_caught = True
-                except Exception as e:
-                    if str(e).__contains__("404"):
+                def run_bot_wrapper():
+                    global known_exception_caught
+                    try:
+                        logging.debug("使用账号: {}".format(qqbot.bot_account_id))
+                        qqbot.adapter.run_sync()
+                    except TypeError as e:
+                        if str(e).__contains__("argument 'debug'"):
+                            logging.error(
+                                "连接bot失败:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/82".format(e))
+                            known_exception_caught = True
+                        elif str(e).__contains__("As of 3.10, the *loop*"):
+                            logging.error(
+                                "Websockets版本过低:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/5".format(e))
+                            known_exception_caught = True
+
+                    except websockets.exceptions.InvalidStatus as e:
                         logging.error(
                             "mirai-api-http端口无法使用:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/22".format(
                                 e))
                         known_exception_caught = True
-                    elif str(e).__contains__("signal only works in main thread"):
-                        logging.error(
-                            "hypercorn异常:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/86".format(
-                                e))
+                    except mirai.exceptions.NetworkError as e:
+                        logging.error("连接mirai-api-http失败:{}, 请检查是否已按照文档启动mirai".format(e))
                         known_exception_caught = True
-                    elif str(e).__contains__("did not receive a valid HTTP"):
-                        logging.error(
-                            "mirai-api-http端口无法使用:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/22".format(
-                                e))
-                    else:
-                        import traceback
-                        traceback.print_exc()
-                        logging.error(
-                            "捕捉到未知异常:{}, 请前往 https://github.com/RockChinQ/QChatGPT/issues 查找或提issue".format(e))
-                        known_exception_caught = True
-                        raise e
-                finally:
-                    time.sleep(12)
-            threading.Thread(
-                target=run_bot_wrapper
-            ).start()
+                    except Exception as e:
+                        if str(e).__contains__("404"):
+                            logging.error(
+                                "mirai-api-http端口无法使用:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/22".format(
+                                    e))
+                            known_exception_caught = True
+                        elif str(e).__contains__("signal only works in main thread"):
+                            logging.error(
+                                "hypercorn异常:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/86".format(
+                                    e))
+                            known_exception_caught = True
+                        elif str(e).__contains__("did not receive a valid HTTP"):
+                            logging.error(
+                                "mirai-api-http端口无法使用:{}, 解决方案: https://github.com/RockChinQ/QChatGPT/issues/22".format(
+                                    e))
+                        else:
+                            import traceback
+                            traceback.print_exc()
+                            logging.error(
+                                "捕捉到未知异常:{}, 请前往 https://github.com/RockChinQ/QChatGPT/issues 查找或提issue".format(e))
+                            known_exception_caught = True
+                            raise e
+                    finally:
+                        time.sleep(12)
+                threading.Thread(
+                    target=run_bot_wrapper
+                ).start()
+        except Exception as e:
+            traceback.print_exc()
+            if isinstance(e, KeyboardInterrupt):
+                logging.info("程序被用户中止")
+                sys.exit(0)
+            elif isinstance(e, SyntaxError):
+                logging.error("配置文件存在语法错误，请检查配置文件：\n1. 是否存在中文符号\n2. 是否已按照文件中的说明填写正确")
+                sys.exit(1)
+            else:
+                logging.error("初始化失败:{}".format(e))
+                sys.exit(1)
     finally:
         # 判断若是Windows，输出选择模式可能会暂停程序的警告
         if os.name == 'nt':
@@ -301,7 +332,8 @@ def start(first_time_init=False):
         if pkg.utils.updater.is_new_version_available():
             logging.info("新版本可用，请发送 !update 进行自动更新\n更新日志:\n{}".format("\n".join(pkg.utils.updater.get_rls_notes())))
         else:
-            logging.info("当前已是最新版本")
+            # logging.info("当前已是最新版本")
+            pass
 
     except Exception as e:
         logging.warning("检查更新失败:{}".format(e))

override-all.json

@@ -21,6 +21,7 @@
         "http_proxy": null,
         "reverse_proxy": null
     },
+    "switch_strategy": "active",
     "admin_qq": 0,
     "default_prompt": {
         "default": "如果我之后想获取帮助，请你说“输入!help获取帮助”"
@@ -53,19 +54,19 @@
     "inappropriate_message_tips": "[百度云]请珍惜机器人，当前返回内容不合规",
     "encourage_sponsor_at_start": true,
     "prompt_submit_length": 2048,
+    "auto_reset": true,
     "completion_api_params": {
         "model": "gpt-3.5-turbo",
-        "temperature": 0.9,
-        "top_p": 1,
-        "frequency_penalty": 0.2,
-        "presence_penalty": 1.0
+        "temperature": 0.9
     },
     "image_api_params": {
         "size": "256x256"
     },
-    "quote_origin": true,
+    "trace_function_calls": false,
+    "quote_origin": false,
+    "at_sender": false,
     "include_image_description": true,
-    "process_message_timeout": 30,
+    "process_message_timeout": 120,
     "show_prefix": false,
     "force_delay_range": [
         1.5,
@@ -85,7 +86,7 @@
         "default": 60
     },
     "rate_limit_strategy": "drop",
-    "upgrade_dependencies": true,
+    "upgrade_dependencies": false,
     "report_usage": true,
     "logging_level": 20
 }

pkg/audit/gatherer.py

@@ -5,6 +5,7 @@
 import hashlib
 import json
 import logging
+import threading
 
 import requests
 
@@ -42,15 +43,20 @@ class DataGatherer:
         只会报告此次请求的使用量，不会报告总量。
         不包含除版本号、使用类型、使用量以外的任何信息，仅供开发者分析使用情况。
         """
-        try:
-            config = pkg.utils.context.get_config()
-            if not config.report_usage:
+        
+        def thread_func():
+        
+            try:
+                config = pkg.utils.context.get_config()
+                if not config.report_usage:
+                    return
+                res = requests.get("http://reports.rockchin.top:18989/usage?service_name=qchatgpt.{}&version={}&count={}&msg_source={}".format(subservice_name, self.version_str, count, config.msg_source_adapter))
+                if res.status_code != 200 or res.text != "ok":
+                    logging.warning("report to server failed, status_code: {}, text: {}".format(res.status_code, res.text))
+            except:
                 return
-            res = requests.get("http://reports.rockchin.top:18989/usage?service_name=qchatgpt.{}&version={}&count={}&msg_source={}".format(subservice_name, self.version_str, count, config.msg_source_adapter))
-            if res.status_code != 200 or res.text != "ok":
-                logging.warning("report to server failed, status_code: {}, text: {}".format(res.status_code, res.text))
-        except:
-            return
+            
+        threading.Thread(target=thread_func).start()
 
     def get_usage(self, key_md5):
         return self.usage[key_md5] if key_md5 in self.usage else {}

pkg/openai/api/chat_completion.py

@@ -0,0 +1,221 @@
+import openai
+from openai.types.chat import chat_completion_message
+import json
+import logging
+
+from .model import RequestBase
+
+from ..funcmgr import get_func_schema_list, execute_function, get_func, get_func_schema, ContentFunctionNotFoundError
+
+
+class ChatCompletionRequest(RequestBase):
+    """调用ChatCompletion接口的请求类。
+    
+    此类保证每一次返回的角色为assistant的信息的finish_reason一定为stop。
+    若有函数调用响应，本类的返回瀑布是：函数调用请求->函数调用结果->...->assistant的信息->stop。
+    """
+
+    model: str
+    messages: list[dict[str, str]]
+    kwargs: dict
+
+    stopped: bool = False
+
+    pending_func_call: chat_completion_message.FunctionCall = None
+
+    pending_msg: str
+
+    def flush_pending_msg(self):
+        self.append_message(
+            role="assistant",
+            content=self.pending_msg
+        )
+        self.pending_msg = ""
+
+    def append_message(self, role: str, content: str, name: str=None, function_call: dict=None):
+        msg = {
+            "role": role,
+            "content": content
+        }
+
+        if name is not None:
+            msg['name'] = name
+
+        if function_call is not None:
+            msg['function_call'] = function_call
+
+        self.messages.append(msg)
+
+    def __init__(
+        self,
+        client: openai.Client,
+        model: str,
+        messages: list[dict[str, str]],
+        **kwargs
+    ):
+        self.client = client
+        self.model = model
+        self.messages = messages.copy()
+
+        self.kwargs = kwargs
+
+        self.req_func = self.client.chat.completions.create
+
+        self.pending_func_call = None
+
+        self.stopped = False
+
+        self.pending_msg = ""
+
+    def __iter__(self):
+        return self
+
+    def __next__(self) -> dict:
+        if self.stopped:
+            raise StopIteration()
+
+        if self.pending_func_call is None:  # 没有待处理的函数调用请求
+
+            args = {
+                "model": self.model,
+                "messages": self.messages,
+            }
+
+            funcs = get_func_schema_list()
+
+            if len(funcs) > 0:
+                args['functions'] = funcs
+
+            # 拼接kwargs
+            args = {**args, **self.kwargs}
+            
+            from openai.types.chat import chat_completion
+
+            resp: chat_completion.ChatCompletion = self._req(**args)
+
+            choice0 = resp.choices[0]
+
+            # 如果不是函数调用，且finish_reason为stop，则停止迭代
+            if choice0.finish_reason == 'stop':  #  and choice0["finish_reason"] == "stop"
+                self.stopped = True
+            
+            if hasattr(choice0.message, 'function_call') and choice0.message.function_call is not None:
+                self.pending_func_call = choice0.message.function_call
+
+                self.append_message(
+                    role="assistant",
+                    content=choice0.message.content,
+                    function_call=choice0.message.function_call
+                )
+
+                return {
+                    "id": resp.id,
+                    "choices": [
+                        {
+                            "index": choice0.index,
+                            "message": {
+                                "role": "assistant",
+                                "type": "function_call",
+                                "content": choice0.message.content,
+                                "function_call": {
+                                    "name": choice0.message.function_call.name,
+                                    "arguments": choice0.message.function_call.arguments
+                                }
+                            },
+                            "finish_reason": "function_call"
+                        }
+                    ],
+                    "usage": {
+                        "prompt_tokens": resp.usage.prompt_tokens,
+                        "completion_tokens": resp.usage.completion_tokens,
+                        "total_tokens": resp.usage.total_tokens
+                    }
+                }
+            else:
+
+                # self.pending_msg += choice0['message']['content']
+                # 普通回复一定处于最后方，故不用再追加进内部messages
+
+                return {
+                    "id": resp.id,
+                    "choices": [
+                        {
+                            "index": choice0.index,
+                            "message": {
+                                "role": "assistant",
+                                "type": "text",
+                                "content": choice0.message.content
+                            },
+                            "finish_reason": choice0.finish_reason
+                        }
+                    ],
+                    "usage": {
+                        "prompt_tokens": resp.usage.prompt_tokens,
+                        "completion_tokens": resp.usage.completion_tokens,
+                        "total_tokens": resp.usage.total_tokens
+                    }
+                }
+        else:  # 处理函数调用请求
+
+            cp_pending_func_call = self.pending_func_call.copy()
+            
+            self.pending_func_call = None
+
+            func_name = cp_pending_func_call.name
+            arguments = {}
+
+            try:
+
+                try:
+                    arguments = json.loads(cp_pending_func_call.arguments)
+                # 若不是json格式的异常处理
+                except json.decoder.JSONDecodeError:
+                    # 获取函数的参数列表
+                    func_schema = get_func_schema(func_name)
+
+                    arguments = {
+                        func_schema['parameters']['required'][0]: cp_pending_func_call.arguments
+                    }
+                
+                logging.info("执行函数调用: name={}, arguments={}".format(func_name, arguments))
+
+                # 执行函数调用
+                ret = ""
+                try:
+                    ret = execute_function(func_name, arguments)
+
+                    logging.info("函数执行完成。")
+                except Exception as e:
+                    ret = "error: execute function failed: {}".format(str(e))
+                    logging.error("函数执行失败: {}".format(str(e)))
+
+                self.append_message(
+                    role="function",
+                    content=json.dumps(ret, ensure_ascii=False),
+                    name=func_name
+                )
+
+                return {
+                    "id": -1,
+                    "choices": [
+                        {
+                            "index": -1,
+                            "message": {
+                                "role": "function",
+                                "type": "function_return",
+                                "function_name": func_name,
+                                "content": json.dumps(ret, ensure_ascii=False)
+                            },
+                            "finish_reason": "function_return"
+                        }
+                    ],
+                    "usage": {
+                        "prompt_tokens": 0,
+                        "completion_tokens": 0,
+                        "total_tokens": 0
+                    }
+                }
+
+            except ContentFunctionNotFoundError:
+                raise Exception("没有找到函数: {}".format(func_name))
+

pkg/openai/api/completion.py

@@ -0,0 +1,100 @@
+import openai
+from openai.types import completion, completion_choice
+
+from .model import RequestBase
+
+
+class CompletionRequest(RequestBase):
+    """调用Completion接口的请求类。
+    
+    调用方可以一直next completion直到finish_reason为stop。
+    """
+
+    model: str
+    prompt: str
+    kwargs: dict
+
+    stopped: bool = False
+
+    def __init__(
+        self,
+        client: openai.Client,
+        model: str,
+        messages: list[dict[str, str]],
+        **kwargs
+    ):
+        self.client = client
+        self.model = model
+        self.prompt = ""
+        
+        for message in messages:
+            self.prompt += message["role"] + ": " + message["content"] + "\n"
+        
+        self.prompt += "assistant: "
+
+        self.kwargs = kwargs
+
+        self.req_func = self.client.completions.create
+
+    def __iter__(self):
+        return self
+
+    def __next__(self) -> dict:
+        """调用Completion接口，返回生成的文本
+        
+        {
+            "id": "id",
+            "choices": [
+                {
+                    "index": 0,
+                    "message": {
+                        "role": "assistant",
+                        "type": "text",
+                        "content": "message"
+                    },
+                    "finish_reason": "reason"
+                }
+            ],
+            "usage": {
+                "prompt_tokens": 10,
+                "completion_tokens": 20,
+                "total_tokens": 30
+            }
+        }
+        """
+
+        if self.stopped:
+            raise StopIteration()
+
+        resp: completion.Completion = self._req(
+            model=self.model,
+            prompt=self.prompt,
+            **self.kwargs
+        )
+
+        if resp.choices[0].finish_reason == "stop":
+            self.stopped = True
+
+        choice0: completion_choice.CompletionChoice = resp.choices[0]
+
+        self.prompt += choice0.text
+
+        return {
+            "id": resp.id,
+            "choices": [
+                {
+                    "index": choice0.index,
+                    "message": {
+                        "role": "assistant",
+                        "type": "text",
+                        "content": choice0.text
+                    },
+                    "finish_reason": choice0.finish_reason
+                }
+            ],
+            "usage": {
+                "prompt_tokens": resp.usage.prompt_tokens,
+                "completion_tokens": resp.usage.completion_tokens,
+                "total_tokens": resp.usage.total_tokens
+            }
+        }

pkg/openai/api/model.py

@@ -0,0 +1,40 @@
+# 定义不同接口请求的模型
+import threading
+import asyncio
+import logging
+
+import openai
+
+
+class RequestBase:
+
+    client: openai.Client
+
+    req_func: callable
+
+    def __init__(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def _next_key(self):
+        import pkg.utils.context as context
+        switched, name = context.get_openai_manager().key_mgr.auto_switch()
+        logging.debug("切换api-key: switched={}, name={}".format(switched, name))
+        self.client.api_key = context.get_openai_manager().key_mgr.get_using_key()
+
+    def _req(self, **kwargs):
+        """处理代理问题"""
+        import config
+
+        ret = self.req_func(**kwargs)
+        logging.debug("接口请求返回：%s", str(ret))
+
+        if config.switch_strategy == 'active':
+            self._next_key()
+
+        return ret
+
+    def __iter__(self):
+        raise self
+
+    def __next__(self):
+        raise NotImplementedError

pkg/openai/funcmgr.py

@@ -0,0 +1,47 @@
+# 封装了function calling的一些支持函数
+import logging
+
+
+from pkg.plugin import host
+
+
+class ContentFunctionNotFoundError(Exception):
+    pass
+
+
+def get_func_schema_list() -> list:
+    """从plugin包中的函数结构中获取并处理成受GPT支持的格式"""
+    if not host.__enable_content_functions__:
+        return []
+
+    schemas = []
+
+    for func in host.__callable_functions__:
+        if func['enabled']:
+            fun_cp = func.copy()
+
+            del fun_cp['enabled']
+
+            schemas.append(fun_cp)
+
+    return schemas
+
+def get_func(name: str) -> callable:
+    if name not in host.__function_inst_map__:
+        raise ContentFunctionNotFoundError("没有找到内容函数: {}".format(name))
+
+    return host.__function_inst_map__[name]
+
+def get_func_schema(name: str) -> dict:
+    for func in host.__callable_functions__:
+        if func['name'] == name:
+            return func
+    raise ContentFunctionNotFoundError("没有找到内容函数: {}".format(name))
+
+def execute_function(name: str, kwargs: dict) -> any:
+    """执行函数调用"""
+
+    logging.debug("executing function: name='{}', kwargs={}".format(name, kwargs))
+
+    func = get_func(name)
+    return func(**kwargs)

pkg/openai/keymgr.py

@@ -54,7 +54,24 @@ class KeysManager:
             是否切换成功, 切换后的api-key的别名
         """
 
+        index = 0
+
         for key_name in self.api_key:
+            if self.api_key[key_name] == self.using_key:
+                break
+            
+            index += 1
+
+        # 从当前key开始向后轮询
+        start_index = index
+        index += 1
+        if index >= len(self.api_key):
+            index = 0
+
+        while index != start_index:
+            
+            key_name = list(self.api_key.keys())[index]
+
             if self.api_key[key_name] not in self.exceeded:
                 self.using_key = self.api_key[key_name]
 
@@ -69,10 +86,14 @@ class KeysManager:
 
                 return True, key_name
 
-        self.using_key = list(self.api_key.values())[0]
-        logging.info("使用api-key:" + list(self.api_key.keys())[0])
+            index += 1
+            if index >= len(self.api_key):
+                index = 0
 
-        return False, ""
+        self.using_key = list(self.api_key.values())[start_index]
+        logging.debug("使用api-key:" + list(self.api_key.keys())[start_index])
+
+        return False, list(self.api_key.keys())[start_index]
 
     def add(self, key_name, key):
         self.api_key[key_name] = key

pkg/openai/manager.py

@@ -5,7 +5,9 @@ import openai
 import pkg.openai.keymgr
 import pkg.utils.context
 import pkg.audit.gatherer
-from pkg.openai.modelmgr import ModelRequest, create_openai_model_request
+from pkg.openai.modelmgr import select_request_cls
+
+from pkg.openai.api.model import RequestBase
 
 
 class OpenAIInteract:
@@ -22,56 +24,46 @@ class OpenAIInteract:
         "size": "256x256",
     }
 
+    client: openai.Client = None
+
     def __init__(self, api_key: str):
 
         self.key_mgr = pkg.openai.keymgr.KeysManager(api_key)
         self.audit_mgr = pkg.audit.gatherer.DataGatherer()
 
-        logging.info("文字总使用量：%d", self.audit_mgr.get_total_text_length())
+        # logging.info("文字总使用量：%d", self.audit_mgr.get_total_text_length())
 
-        openai.api_key = self.key_mgr.get_using_key()
+        self.client = openai.Client(
+            api_key=self.key_mgr.get_using_key()
+        )
 
         pkg.utils.context.set_openai_manager(self)
 
-    # 请求OpenAI Completion
-    def request_completion(self, prompts) -> tuple[str, int]:
-        """请求补全接口回复
-
-        Parameters:
-            prompts (str): 提示语
-
-        Returns:
-            str: 回复
+    def request_completion(self, messages: list):
+        """请求补全接口回复=
         """
-
+        # 选择接口请求类
         config = pkg.utils.context.get_config()
 
-        # 根据模型选择使用的接口
-        ai: ModelRequest = create_openai_model_request(
-            config.completion_api_params['model'],
-            'user',
-            config.openai_config["http_proxy"] if "http_proxy" in config.openai_config else None
-        )
-        ai.request(
-            prompts,
-            **config.completion_api_params
-        )
-        response = ai.get_response()
+        request: RequestBase
 
-        logging.debug("OpenAI response: %s", response)
+        model: str = config.completion_api_params['model']
 
-        # 记录使用量
-        current_round_token = 0
-        if 'model' in config.completion_api_params:
-            self.audit_mgr.report_text_model_usage(config.completion_api_params['model'],
-                                                   ai.get_total_tokens())
-            current_round_token = ai.get_total_tokens()
-        elif 'engine' in config.completion_api_params:
-            self.audit_mgr.report_text_model_usage(config.completion_api_params['engine'],
-                                                   response['usage']['total_tokens'])
-            current_round_token = response['usage']['total_tokens']
+        cp_parmas = config.completion_api_params.copy()
+        del cp_parmas['model']
 
-        return ai.get_message(), current_round_token
+        request = select_request_cls(self.client, model, messages, cp_parmas)
+
+        # 请求接口
+        for resp in request:
+
+            if resp['usage']['total_tokens'] > 0:
+                self.audit_mgr.report_text_model_usage(
+                    model,
+                    resp['usage']['total_tokens']
+                )
+
+            yield resp
 
     def request_image(self, prompt) -> dict:
         """请求图片接口回复

pkg/openai/modelmgr.py

@@ -5,26 +5,50 @@ ChatCompletion - gpt-3.5-turbo 等模型
 Completion - text-davinci-003 等模型
 此模块封装此两个接口的请求实现，为上层提供统一的调用方式
 """
-import openai, logging, threading, asyncio
-import openai.error as aiE
+import tiktoken
+import openai
+
+from pkg.openai.api.model import RequestBase
+from pkg.openai.api.completion import CompletionRequest
+from pkg.openai.api.chat_completion import ChatCompletionRequest
 
 COMPLETION_MODELS = {
-    'text-davinci-003',
-    'text-davinci-002',
-    'code-davinci-002',
-    'code-cushman-001',
-    'text-curie-001',
-    'text-babbage-001',
-    'text-ada-001',
+    "text-davinci-003", # legacy
+    "text-davinci-002", # legacy
+    "code-davinci-002", # legacy
+    "code-cushman-001", # legacy
+    "text-curie-001", # legacy
+    "text-babbage-001", # legacy
+    "text-ada-001", # legacy
+    "gpt-3.5-turbo-instruct",
 }
 
 CHAT_COMPLETION_MODELS = {
-    'gpt-3.5-turbo',
-    'gpt-3.5-turbo-0301',
-    'gpt-4',
-    'gpt-4-0314',
-    'gpt-4-32k',
-    'gpt-4-32k-0314'
+    # GPT 4 系列
+    "gpt-4-1106-preview",
+    "gpt-4-vision-preview",
+    "gpt-4",
+    "gpt-4-32k",
+    "gpt-4-0613",
+    "gpt-4-32k-0613",
+    "gpt-4-0314", # legacy
+    "gpt-4-32k-0314", # legacy
+    # GPT 3.5 系列
+    "gpt-3.5-turbo-1106",
+    "gpt-3.5-turbo",
+    "gpt-3.5-turbo-16k",
+    "gpt-3.5-turbo-0613", # legacy
+    "gpt-3.5-turbo-16k-0613", # legacy
+    "gpt-3.5-turbo-0301", # legacy
+    # One-API 接入
+    "SparkDesk",
+    "chatglm_pro",
+    "chatglm_std",
+    "chatglm_lite",
+    "qwen-v1",
+    "qwen-plus-v1",
+    "ERNIE-Bot",
+    "ERNIE-Bot-turbo",
 }
 
 EDIT_MODELS = {
@@ -36,153 +60,85 @@ IMAGE_MODELS = {
 }
 
 
-class ModelRequest:
-    """模型接口请求父类"""
-
-    can_chat = False
-    runtime: threading.Thread = None
-    ret = {}
-    proxy: str = None
-    request_ready = True
-    error_info: str = "若在没有任何错误的情况下看到这句话，请带着配置文件上报Issues"
-
-    def __init__(self, model_name, user_name, request_fun, http_proxy:str = None, time_out = None):
-        self.model_name = model_name
-        self.user_name = user_name
-        self.request_fun = request_fun
-        self.time_out = time_out
-        if http_proxy != None:
-            self.proxy = http_proxy
-            openai.proxy = self.proxy
-            self.request_ready = False
-
-    async def __a_request__(self, **kwargs):
-        """异步请求"""
-
-        try:
-            self.ret: dict = await self.request_fun(**kwargs)
-            self.request_ready = True
-        except aiE.APIConnectionError as e:
-            self.error_info = "{}\n请检查网络连接或代理是否正常".format(e)
-            raise ConnectionError(self.error_info)
-        except ValueError as e:
-            self.error_info = "{}\n该错误可能是由于http_proxy格式设置错误引起的"
-        except Exception as e:
-            self.error_info = "{}\n由于请求异常产生的未知错误，请查看日志".format(e)
-            raise type(e)(self.error_info)
-
-    def request(self, **kwargs):
-        """向接口发起请求"""
-
-        if self.proxy != None: #异步请求
-            self.request_ready = False
-            loop = asyncio.new_event_loop()
-            self.runtime = threading.Thread(
-                target=loop.run_until_complete,
-                args=(self.__a_request__(**kwargs),)
-            )
-            self.runtime.start()
-        else: #同步请求
-            self.ret = self.request_fun(**kwargs)
-
-    def __msg_handle__(self, msg):
-        """将prompt dict转换成接口需要的格式"""
-        return msg
-    
-    def ret_handle(self):
-        '''
-        API消息返回处理函数
-        若重写该方法，应检查异步线程状态，或在需要检查处super该方法
-        '''
-        if self.runtime != None and isinstance(self.runtime, threading.Thread):
-            self.runtime.join(self.time_out)
-        if self.request_ready:
-            return
-        raise Exception(self.error_info)
-
-    def get_total_tokens(self):
-        try:
-            return self.ret['usage']['total_tokens']
-        except:
-            return 0
-
-    def get_message(self):
-        return self.message
-
-    def get_response(self):
-        return self.ret
-
-
-class ChatCompletionModel(ModelRequest):
-    """ChatCompletion接口的请求实现"""
-
-    Chat_role = ['system', 'user', 'assistant']
-    def __init__(self, model_name, user_name, http_proxy:str = None, **kwargs):
-        if http_proxy == None:
-            request_fun = openai.ChatCompletion.create
-        else:
-            request_fun = openai.ChatCompletion.acreate
-        self.can_chat = True
-        super().__init__(model_name, user_name, request_fun, http_proxy, **kwargs)
-
-    def request(self, prompts, **kwargs):
-        prompts = self.__msg_handle__(prompts)
-        kwargs['messages'] = prompts
-        super().request(**kwargs)
-        self.ret_handle()
-
-    def __msg_handle__(self, msgs):
-        temp_msgs = []
-        # 把msgs拷贝进temp_msgs
-        for msg in msgs:
-            temp_msgs.append(msg.copy())
-        return temp_msgs
-
-    def get_message(self):
-        return self.ret["choices"][0]["message"]['content'] #需要时直接加载加快请求速度，降低内存消耗
-
-
-class CompletionModel(ModelRequest):
-    """Completion接口的请求实现"""
-
-    def __init__(self, model_name, user_name, http_proxy:str = None, **kwargs):
-        if http_proxy == None:
-            request_fun = openai.Completion.create
-        else:
-            request_fun = openai.Completion.acreate
-        super().__init__(model_name, user_name, request_fun, http_proxy, **kwargs)
-
-    def request(self, prompts, **kwargs):
-        prompts = self.__msg_handle__(prompts)
-        kwargs['prompt'] = prompts
-        super().request(**kwargs)
-        self.ret_handle()
-
-    def __msg_handle__(self, msgs):
-        prompt = ''
-        for msg in msgs:
-            prompt = prompt + "{}: {}\n".format(msg['role'], msg['content'])
-        # for msg in msgs:
-        #     if msg['role'] == 'assistant':
-        #         prompt = prompt + "{}\n".format(msg['content'])
-        #     else:
-        #         prompt = prompt + "{}:{}\n".format(msg['role'] , msg['content'])
-        prompt = prompt + "assistant: "
-        return prompt
-
-    def get_message(self):
-        return self.ret["choices"][0]["text"]
-
-
-def create_openai_model_request(model_name: str, user_name: str = 'user', http_proxy:str = None) -> ModelRequest:
-    """使用给定的模型名称创建模型请求对象"""
+def select_request_cls(client: openai.Client, model_name: str, messages: list, args: dict) -> RequestBase:
     if model_name in CHAT_COMPLETION_MODELS:
-        model = ChatCompletionModel(model_name, user_name, http_proxy)
+        return ChatCompletionRequest(client, model_name, messages, **args)
     elif model_name in COMPLETION_MODELS:
-        model = CompletionModel(model_name, user_name, http_proxy)
-    else :
-        log = "找不到模型[{}]，请检查配置文件".format(model_name)
-        logging.error(log)
-        raise IndexError(log)
-    logging.debug("使用接口[{}]创建模型请求[{}]".format(model.__class__.__name__, model_name))
-    return model
+        return CompletionRequest(client, model_name, messages, **args)
+    raise ValueError("不支持模型[{}]，请检查配置文件".format(model_name))
+
+
+def count_chat_completion_tokens(messages: list, model: str) -> int:
+    """Return the number of tokens used by a list of messages."""
+    try:
+        encoding = tiktoken.encoding_for_model(model)
+    except KeyError:
+        print("Warning: model not found. Using cl100k_base encoding.")
+        encoding = tiktoken.get_encoding("cl100k_base")
+    if model in {
+        "gpt-3.5-turbo-0613",
+        "gpt-3.5-turbo-16k-0613",
+        "gpt-4-0314",
+        "gpt-4-32k-0314",
+        "gpt-4-0613",
+        "gpt-4-32k-0613",
+        "SparkDesk",
+        "chatglm_pro",
+        "chatglm_std",
+        "chatglm_lite",
+        "qwen-v1",
+        "qwen-plus-v1",
+        "ERNIE-Bot",
+        "ERNIE-Bot-turbo",
+        }:
+        tokens_per_message = 3
+        tokens_per_name = 1
+    elif model == "gpt-3.5-turbo-0301":
+        tokens_per_message = 4  # every message follows <|start|>{role/name}\n{content}<|end|>\n
+        tokens_per_name = -1  # if there's a name, the role is omitted
+    elif "gpt-3.5-turbo" in model:
+        # print("Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0613.")
+        return count_chat_completion_tokens(messages, model="gpt-3.5-turbo-0613")
+    elif "gpt-4" in model:
+        # print("Warning: gpt-4 may update over time. Returning num tokens assuming gpt-4-0613.")
+        return count_chat_completion_tokens(messages, model="gpt-4-0613")
+    else:
+        raise NotImplementedError(
+            f"""count_chat_completion_tokens() is not implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens."""
+        )
+    num_tokens = 0
+    for message in messages:
+        num_tokens += tokens_per_message
+        for key, value in message.items():
+            num_tokens += len(encoding.encode(value))
+            if key == "name":
+                num_tokens += tokens_per_name
+    num_tokens += 3  # every reply is primed with <|start|>assistant<|message|>
+    return num_tokens
+
+
+def count_completion_tokens(messages: list, model: str) -> int:
+
+    try:
+        encoding = tiktoken.encoding_for_model(model)
+    except KeyError:
+        print("Warning: model not found. Using cl100k_base encoding.")
+        encoding = tiktoken.get_encoding("cl100k_base")
+
+    text = ""
+
+    for message in messages:
+        text += message['role'] + message['content'] + "\n"
+
+    text += "assistant: "
+
+    return len(encoding.encode(text))
+
+
+def count_tokens(messages: list, model: str):
+
+    if model in CHAT_COMPLETION_MODELS:
+        return count_chat_completion_tokens(messages, model)
+    elif model in COMPLETION_MODELS:
+        return count_completion_tokens(messages, model)
+    raise ValueError("不支持模型[{}]，请检查配置文件".format(model))

pkg/openai/pricing.bak.py

@@ -1,28 +0,0 @@
-# 计费模块
-# 已弃用 https://github.com/RockChinQ/QChatGPT/issues/81
-
-import logging
-
-pricing = {
-    "base": {  # 文字模型单位是1000字符
-        "text-davinci-003": 0.02,
-    },
-    "image": {
-        "256x256": 0.016,
-        "512x512": 0.018,
-        "1024x1024": 0.02,
-    }
-}
-
-
-def language_base_price(model, text):
-    salt_rate = 0.93
-    length = ((len(text.encode('utf-8')) - len(text)) / 2 + len(text)) * salt_rate
-    logging.debug("text length: %d" % length)
-
-    return pricing["base"][model] * length / 1000
-
-
-def image_price(size):
-    logging.debug("image size: %s" % size)
-    return pricing["image"][size]

pkg/openai/session.py

@@ -16,6 +16,8 @@ import pkg.utils.context
 import pkg.plugin.host as plugin_host
 import pkg.plugin.models as plugin_models
 
+from pkg.openai.modelmgr import count_tokens
+
 # 运行时保存的所有session
 sessions = {}
 
@@ -64,7 +66,7 @@ def load_sessions():
     session_data = db_inst.load_valid_sessions()
 
     for session_name in session_data:
-        logging.info('加载session: {}'.format(session_name))
+        logging.debug('加载session: {}'.format(session_name))
 
         temp_session = Session(session_name)
         temp_session.name = session_name
@@ -83,7 +85,7 @@ def load_sessions():
 
 
 # 获取指定名称的session，如果不存在则创建一个新的
-def get_session(session_name: str):
+def get_session(session_name: str) -> 'Session':
     global sessions
     if session_name not in sessions:
         sessions[session_name] = Session(session_name)
@@ -107,9 +109,6 @@ class Session:
     prompt = []
     """使用list来保存会话中的回合"""
 
-    token_counts = []
-    """每个回合的token数量"""
-
     default_prompt = []
     """本session的默认prompt"""
 
@@ -195,8 +194,15 @@ class Session:
 
     # 请求回复
     # 这个函数是阻塞的
-    def append(self, text: str) -> str:
-        """向session中添加一条消息，返回接口回复"""
+    def query(self, text: str=None) -> tuple[str, str, list[str]]:
+        """向session中添加一条消息，返回接口回复
+        
+        Args:
+            text (str): 用户消息
+
+        Returns:
+            tuple[str, str]: (接口回复, finish_reason, 已调用的函数列表)
+        """
 
         self.last_interact_timestamp = int(time.time())
 
@@ -210,40 +216,142 @@ class Session:
 
             event = pkg.plugin.host.emit(plugin_models.SessionFirstMessageReceived, **args)
             if event.is_prevented_default():
-                return None
+                return None, None, None
 
         config = pkg.utils.context.get_config()
         max_length = config.prompt_submit_length
 
-        prompts, counts = self.cut_out(text, max_length)
+        local_default_prompt = self.default_prompt.copy()
+        local_prompt = self.prompt.copy()
+
+        # 触发PromptPreProcessing事件
+        args = {
+            'session_name': self.name,
+            'default_prompt': self.default_prompt,
+            'prompt': self.prompt,
+            'text_message': text,
+        }
+
+        event = pkg.plugin.host.emit(plugin_models.PromptPreProcessing, **args)
+        
+        if event.get_return_value('default_prompt') is not None:
+            local_default_prompt = event.get_return_value('default_prompt')
+        
+        if event.get_return_value('prompt') is not None:
+            local_prompt = event.get_return_value('prompt')
+
+        if event.get_return_value('text_message') is not None:
+            text = event.get_return_value('text_message')
+
+        prompts, _ = self.cut_out(text, max_length, local_default_prompt, local_prompt)
+
+        res_text = ""
+
+        pending_msgs = []
+
+        total_tokens = 0
+
+        finish_reason: str = ""
+
+        funcs = []
+
+        trace_func_calls = config.trace_function_calls
+        botmgr = pkg.utils.context.get_qqbot_manager()
+
+        session_name_spt: list[str] = self.name.split("_")
+
+        pending_res_text = ""
+
+        # TODO 对不起，我知道这样非常非常屎山，但我之后会重构的
+        for resp in pkg.utils.context.get_openai_manager().request_completion(prompts):
+
+            if pending_res_text != "":
+                botmgr.adapter.send_message(
+                    session_name_spt[0],
+                    session_name_spt[1],
+                    pending_res_text
+                )
+                pending_res_text = ""
+
+            finish_reason = resp['choices'][0]['finish_reason']
+
+            if resp['choices'][0]['message']['role'] == "assistant" and resp['choices'][0]['message']['content'] != None:  # 包含纯文本响应
+
+                if not trace_func_calls:
+                    res_text += resp['choices'][0]['message']['content']
+                else:
+                    res_text = resp['choices'][0]['message']['content']
+                    pending_res_text = resp['choices'][0]['message']['content']
+
+                total_tokens += resp['usage']['total_tokens']
+
+                msg = {
+                    "role": "assistant",
+                    "content": resp['choices'][0]['message']['content']
+                }
+
+                if 'function_call' in resp['choices'][0]['message']:
+                    msg['function_call'] = json.dumps(resp['choices'][0]['message']['function_call'])
+
+                pending_msgs.append(msg)
+
+            if resp['choices'][0]['message']['type'] == 'function_call':
+                # self.prompt.append(
+                #     {
+                #         "role": "assistant",
+                #         "content": "function call: "+json.dumps(resp['choices'][0]['message']['function_call'])
+                #     }
+                # )
+                if trace_func_calls:
+                    botmgr.adapter.send_message(
+                        session_name_spt[0],
+                        session_name_spt[1],
+                        "调用函数 "+resp['choices'][0]['message']['function_call']['name'] + "..."
+                    )
+
+                total_tokens += resp['usage']['total_tokens']
+            elif resp['choices'][0]['message']['type'] == 'function_return':
+                # self.prompt.append(
+                #     {
+                #         "role": "function",
+                #         "name": resp['choices'][0]['message']['function_name'],
+                #         "content": json.dumps(resp['choices'][0]['message']['content'])
+                #     }
+                # )
+
+                # total_tokens += resp['usage']['total_tokens']
+                funcs.append(
+                    resp['choices'][0]['message']['function_name']
+                )
+                pass
 
-        # 计算请求前的prompt数量
-        total_token_before_query = 0
-        for token_count in counts:
-            total_token_before_query += token_count
 
         # 向API请求补全
-        message, total_token = pkg.utils.context.get_openai_manager().request_completion(
-            prompts,
-        )
+        # message, total_token = pkg.utils.context.get_openai_manager().request_completion(
+        #     prompts,
+        # )
 
         # 成功获取，处理回复
-        res_test = message
-        res_ans = res_test.strip()
+        # res_test = message
+        res_ans = res_text.strip()
 
         # 将此次对话的双方内容加入到prompt中
-        self.prompt.append({'role': 'user', 'content': text})
-        self.prompt.append({'role': 'assistant', 'content': res_ans})
+        # self.prompt.append({'role': 'user', 'content': text})
+        # self.prompt.append({'role': 'assistant', 'content': res_ans})
+        if text:
+            self.prompt.append({'role': 'user', 'content': text})
+        # 添加pending_msgs
+        self.prompt += pending_msgs
 
         # 向token_counts中添加本回合的token数量
-        self.token_counts.append(total_token-total_token_before_query)
-        logging.debug("本回合使用token: {}, session counts: {}".format(total_token-total_token_before_query, self.token_counts))
+        # self.token_counts.append(total_tokens-total_token_before_query)
+        # logging.debug("本回合使用token: {}, session counts: {}".format(total_tokens-total_token_before_query, self.token_counts))
 
         if self.just_switched_to_exist_session:
             self.just_switched_to_exist_session = False
             self.set_ongoing()
 
-        return res_ans if res_ans[0] != '\n' else res_ans[1:]
+        return res_ans if res_ans[0] != '\n' else res_ans[1:], finish_reason, funcs
 
     # 删除上一回合并返回上一回合的问题
     def undo(self) -> str:
@@ -261,7 +369,7 @@ class Session:
         return question
 
     # 构建对话体
-    def cut_out(self, msg: str, max_tokens: int) -> tuple[list, list]:
+    def cut_out(self, msg: str, max_tokens: int, default_prompt: list, prompt: list) -> tuple[list, list]:
         """将现有prompt进行切割处理，使得新的prompt长度不超过max_tokens
 
         :return: (新的prompt, 新的token_counts)
@@ -274,42 +382,35 @@ class Session:
 
         # 包装目前的对话回合内容
         changable_prompts = []
-        changable_counts = []
-        # 倒着来, 遍历prompt的步长为2, 遍历tokens_counts的步长为1
-        changable_index = len(self.prompt) - 1
-        token_count_index = len(self.token_counts) - 1
 
-        packed_tokens = 0
+        use_model = pkg.utils.context.get_config().completion_api_params['model']
 
-        while changable_index >= 0 and token_count_index >= 0:
-            if packed_tokens + self.token_counts[token_count_index] > max_tokens:
+        ptr = len(prompt) - 1
+
+        # 直接从后向前扫描拼接，不管是否是整回合
+        while ptr >= 0:
+            if count_tokens(prompt[ptr:ptr+1]+changable_prompts, use_model) > max_tokens:
                 break
 
-            changable_prompts.insert(0, self.prompt[changable_index])
-            changable_prompts.insert(0, self.prompt[changable_index - 1])
-            changable_counts.insert(0, self.token_counts[token_count_index])
-            packed_tokens += self.token_counts[token_count_index]
+            changable_prompts.insert(0, prompt[ptr])
 
-            changable_index -= 2
-            token_count_index -= 1
+            ptr -= 1
 
         # 将default_prompt和changable_prompts合并
-        result_prompt = self.default_prompt + changable_prompts
+        result_prompt = default_prompt + changable_prompts
 
         # 添加当前问题
-        result_prompt.append(
-            {
-                'role': 'user',
-                'content': msg
-            }
-        )
+        if msg:
+            result_prompt.append(
+                {
+                    'role': 'user',
+                    'content': msg
+                }
+            )
 
-        logging.debug('cut_out: {}\nchangable section tokens: {}\npacked counts: {}\nsession counts: {}'.format(json.dumps(result_prompt, ensure_ascii=False, indent=4),
-                                                                             packed_tokens,
-                                                                             changable_counts,
-                                                                             self.token_counts))
+        logging.debug("cut_out: {}".format(json.dumps(result_prompt, ensure_ascii=False, indent=4)))
 
-        return result_prompt, changable_counts
+        return result_prompt, count_tokens(changable_prompts, use_model)
 
     # 持久化session
     def persistence(self):
@@ -327,7 +428,7 @@ class Session:
                                     json.dumps(self.prompt), json.dumps(self.default_prompt), json.dumps(self.token_counts))
 
     # 重置session
-    def reset(self, explicit: bool = False, expired: bool = False, schedule_new: bool = True, use_prompt: str = None):
+    def reset(self, explicit: bool = False, expired: bool = False, schedule_new: bool = True, use_prompt: str = None, persist: bool = False):
         if self.prompt:
             self.persistence()
             if explicit:
@@ -345,7 +446,8 @@ class Session:
             if expired:
                 pkg.utils.context.get_database_manager().set_session_expired(self.name, self.create_timestamp)
 
-        self.default_prompt = self.get_default_prompt(use_prompt)
+        if not persist:  # 不要求保持default prompt
+            self.default_prompt = self.get_default_prompt(use_prompt)
         self.prompt = []
         self.token_counts = []
         self.create_timestamp = int(time.time())

pkg/plugin/host.py

@@ -7,14 +7,21 @@ import pkgutil
 import sys
 import shutil
 import traceback
+import time
+import re
 
 import pkg.utils.updater as updater
 import pkg.utils.context as context
 import pkg.plugin.switch as switch
 import pkg.plugin.settings as settings
 import pkg.qqbot.adapter as msadapter
+import pkg.utils.network as network
+import pkg.plugin.metadata as metadata
 
 from mirai import Mirai
+import requests
+
+from CallingGPT.session.session import Session
 
 __plugins__ = {}
 """插件列表
@@ -42,6 +49,15 @@ __plugins__ = {}
 __plugins_order__ = []
 """插件顺序"""
 
+__enable_content_functions__ = True
+"""是否启用内容函数"""
+
+__callable_functions__ = []
+"""供GPT调用的函数结构"""
+
+__function_inst_map__: dict[str, callable] = {}
+"""函数名:实例 映射"""
+
 
 def generate_plugin_order():
     """根据__plugin__生成插件初始顺序，无视是否启用"""
@@ -54,6 +70,8 @@ def generate_plugin_order():
 def iter_plugins():
     """按照顺序迭代插件"""
     for plugin_name in __plugins_order__:
+        if plugin_name not in __plugins__:
+            continue
         yield __plugins__[plugin_name]
 
 
@@ -88,7 +106,7 @@ def walk_plugin_path(module, prefix='', path_prefix=''):
 
 def load_plugins():
     """加载插件"""
-    logging.info("加载插件")
+    logging.debug("加载插件")
     PluginHost()
     walk_plugin_path(__import__('plugins'))
 
@@ -102,20 +120,35 @@ def load_plugins():
     # 加载插件顺序
     settings.load_settings()
 
+    logging.debug("registered plugins: {}".format(__plugins__))
+
+    # 输出已注册的内容函数列表
+    logging.debug("registered content functions: {}".format(__callable_functions__))
+    logging.debug("function instance map: {}".format(__function_inst_map__))
+
+    # 迁移插件源地址记录
+    metadata.do_plugin_git_repo_migrate()
+
 
 def initialize_plugins():
     """初始化插件"""
     logging.info("初始化插件")
     import pkg.plugin.models as models
+
+    successfully_initialized_plugins = []
+
     for plugin in iter_plugins():
         # if not plugin['enabled']:
         #     continue
         try:
             models.__current_registering_plugin__ = plugin['name']
             plugin['instance'] = plugin["class"](plugin_host=context.get_plugin_host())
-            logging.info("插件 {} 已初始化".format(plugin['name']))
+            # logging.info("插件 {} 已初始化".format(plugin['name']))
+            successfully_initialized_plugins.append(plugin['name'])
         except:
             logging.error("插件{}初始化时发生错误: {}".format(plugin['name'], sys.exc_info()))
+    
+    logging.info("以下插件已初始化: {}".format(", ".join(successfully_initialized_plugins)))
 
 
 def unload_plugins():
@@ -134,34 +167,100 @@ def unload_plugins():
     #                 logging.error("插件{}卸载时发生错误: {}".format(plugin['name'], sys.exc_info()))
 
 
-def install_plugin(repo_url: str):
-    """安装插件，从git储存库获取并解决依赖"""
-    try:
-        import pkg.utils.pkgmgr
-        pkg.utils.pkgmgr.ensure_dulwich()
-    except:
-        pass
+def get_github_plugin_repo_label(repo_url: str) -> list[str]:
+    """获取username, repo"""
 
-    try:
-        import dulwich
-    except ModuleNotFoundError:
-        raise Exception("dulwich模块未安装,请查看 https://github.com/RockChinQ/QChatGPT/issues/77")
+    # 提取 username/repo , 正则表达式
+    repo =  re.findall(r'(?:https?://github\.com/|git@github\.com:)([^/]+/[^/]+?)(?:\.git|/|$)', repo_url)
 
-    from dulwich import porcelain
+    if len(repo) > 0: # github
+        return repo[0].split("/")
+    else:
+        return None
 
-    logging.info("克隆插件储存库: {}".format(repo_url))
-    repo = porcelain.clone(repo_url, "plugins/"+repo_url.split(".git")[0].split("/")[-1]+"/", checkout=True)
 
+def download_plugin_source_code(repo_url: str, target_path: str) -> str:
+    """下载插件源码"""
+    # 检查源类型
+    
+    # 提取 username/repo , 正则表达式
+    repo =  get_github_plugin_repo_label(repo_url)
+
+    target_path += repo[1]
+
+    if repo is not None: # github
+        logging.info("从 GitHub 下载插件源码...")
+
+        zipball_url = f"https://api.github.com/repos/{'/'.join(repo)}/zipball/HEAD"
+
+        zip_resp = requests.get(
+            url=zipball_url,
+            proxies=network.wrapper_proxies(),
+            stream=True
+        )
+
+        if zip_resp.status_code != 200:
+            raise Exception("下载源码失败: {}".format(zip_resp.text))
+        
+        if os.path.exists("temp/"+target_path):
+            shutil.rmtree("temp/"+target_path)
+
+        if os.path.exists(target_path):
+            shutil.rmtree(target_path)
+
+        os.makedirs("temp/"+target_path)
+
+        with open("temp/"+target_path+"/source.zip", "wb") as f:
+            for chunk in zip_resp.iter_content(chunk_size=1024):
+                if chunk:
+                    f.write(chunk)
+
+        logging.info("下载完成, 解压...")
+        import zipfile
+        with zipfile.ZipFile("temp/"+target_path+"/source.zip", 'r') as zip_ref:
+            zip_ref.extractall("temp/"+target_path)
+        os.remove("temp/"+target_path+"/source.zip")
+
+        # 目标是 username-repo-hash , 用正则表达式提取完整的文件夹名，复制到 plugins/repo
+        import glob
+
+        # 获取解压后的文件夹名
+        unzip_dir = glob.glob("temp/"+target_path+"/*")[0]
+
+        # 复制到 plugins/repo
+        shutil.copytree(unzip_dir, target_path+"/")
+
+        # 删除解压后的文件夹
+        shutil.rmtree(unzip_dir)
+
+        logging.info("解压完成")
+    else:
+        raise Exception("暂不支持的源类型，请使用 GitHub 仓库发行插件。")
+    
+    return repo[1]
+
+
+def check_requirements(path: str):
     # 检查此目录是否包含requirements.txt
-    if os.path.exists("plugins/"+repo_url.split(".git")[0].split("/")[-1]+"/requirements.txt"):
+    if os.path.exists(path+"/requirements.txt"):
         logging.info("检测到requirements.txt，正在安装依赖")
         import pkg.utils.pkgmgr
-        pkg.utils.pkgmgr.install_requirements("plugins/"+repo_url.split(".git")[0].split("/")[-1]+"/requirements.txt")
+        pkg.utils.pkgmgr.install_requirements(path+"/requirements.txt")
 
         import pkg.utils.log as log
         log.reset_logging()
 
 
+def install_plugin(repo_url: str):
+    """安装插件，从git储存库获取并解决依赖"""
+
+    repo_label = download_plugin_source_code(repo_url, "plugins/")
+
+    check_requirements("plugins/"+repo_label)
+
+    metadata.set_plugin_metadata(repo_label, repo_url, int(time.time()), "HEAD")
+
+
 def uninstall_plugin(plugin_name: str) -> str:
     """卸载插件"""
     if plugin_name not in __plugins__:
@@ -181,39 +280,43 @@ def uninstall_plugin(plugin_name: str) -> str:
 def update_plugin(plugin_name: str):
     """更新插件"""
     # 检查是否有远程地址记录
-    target_plugin_dir = "plugins/" + __plugins__[plugin_name]['path'].replace("\\", "/").split("plugins/")[1].split("/")[0]
+    plugin_path_name = get_plugin_path_name_by_plugin_name(plugin_name)
 
-    remote_url = updater.get_remote_url(target_plugin_dir)
+    meta = metadata.get_plugin_metadata(plugin_path_name)
+
+    if meta == {}:
+        raise Exception("没有此插件元数据信息，无法更新")
+
+    remote_url = meta['source']
     if remote_url == "https://github.com/RockChinQ/QChatGPT" or remote_url == "https://gitee.com/RockChin/QChatGPT" \
         or remote_url == "" or remote_url is None or remote_url == "http://github.com/RockChinQ/QChatGPT" or remote_url == "http://gitee.com/RockChin/QChatGPT":
         raise Exception("插件没有远程地址记录，无法更新")
     
-    # 把远程clone到temp/plugins/update/插件名
-    logging.info("克隆插件储存库: {}".format(remote_url))
+    # 重新安装插件
+    logging.info("正在重新安装插件以进行更新...")
 
-    from dulwich import porcelain
-    clone_target_dir = "temp/plugins/update/"+target_plugin_dir.split("/")[-1]+"/"
+    install_plugin(remote_url)
 
-    if os.path.exists(clone_target_dir):
-        shutil.rmtree(clone_target_dir)
 
-    if not os.path.exists(clone_target_dir):
-        os.makedirs(clone_target_dir)
-    repo = porcelain.clone(remote_url, clone_target_dir, checkout=True)
+def get_plugin_name_by_path_name(plugin_path_name: str) -> str:
+    for k, v in __plugins__.items():
+        if v['path'] == "plugins/"+plugin_path_name+"/main.py":
+            return k
+    return None
 
-    # 检查此目录是否包含requirements.txt
-    if os.path.exists(clone_target_dir+"requirements.txt"):
-        logging.info("检测到requirements.txt，正在安装依赖")
-        import pkg.utils.pkgmgr
-        pkg.utils.pkgmgr.install_requirements(clone_target_dir+"requirements.txt")
 
-        import pkg.utils.log as log
-        log.reset_logging()
+def get_plugin_path_name_by_plugin_name(plugin_name: str) -> str:
+    if plugin_name not in __plugins__:
+        return None
+    
+    plugin_main_module_path = __plugins__[plugin_name]['path']
 
-    # 将temp/plugins/update/插件名 覆盖到 plugins/插件名
-    shutil.rmtree(target_plugin_dir)
+    plugin_main_module_path = plugin_main_module_path.replace("\\", "/")
+
+    spt = plugin_main_module_path.split("/")
+
+    return spt[1]
 
-    shutil.copytree(clone_target_dir, target_plugin_dir)
 
 class EventContext:
     """事件上下文"""
@@ -251,7 +354,7 @@ class EventContext:
             self.__return_value__[key] = []
         self.__return_value__[key].append(ret)
 
-    def get_return(self, key: str):
+    def get_return(self, key: str) -> list:
         """获取key的所有返回值"""
         if key in self.__return_value__:
             return self.__return_value__[key]
@@ -300,7 +403,9 @@ class PluginHost:
     """插件宿主"""
 
     def __init__(self):
+        """初始化插件宿主"""
         context.set_plugin_host(self)
+        self.calling_gpt_session = Session([])
 
     def get_runtime_context(self) -> context:
         """获取运行时上下文（pkg.utils.context模块的对象）
@@ -370,7 +475,7 @@ class PluginHost:
                         logging.debug("插件 {} 已要求阻止事件 {} 的默认行为".format(plugin['name'], event_name))
 
                 except Exception as e:
-                    logging.error("插件{}触发事件{}时发生错误".format(plugin['name'], event_name))
+                    logging.error("插件{}响应事件{}时发生错误".format(plugin['name'], event_name))
                     logging.error(traceback.format_exc())
 
             # print("done:{}".format(plugin['name']))

pkg/plugin/metadata.py

@@ -0,0 +1,87 @@
+import os
+import shutil
+import json
+import time
+
+import dulwich.errors as dulwich_err
+
+from ..utils import updater
+
+
+def read_metadata_file() -> dict:
+    # 读取 plugins/metadata.json 文件
+    if not os.path.exists('plugins/metadata.json'):
+        return {}
+    with open('plugins/metadata.json', 'r') as f:
+        return json.load(f)
+
+
+def write_metadata_file(metadata: dict):
+    if not os.path.exists('plugins'):
+        os.mkdir('plugins')
+
+    with open('plugins/metadata.json', 'w') as f:
+        json.dump(metadata, f, indent=4, ensure_ascii=False)
+
+
+def do_plugin_git_repo_migrate():
+    # 仅在 plugins/metadata.json 不存在时执行
+    if os.path.exists('plugins/metadata.json'):
+        return
+
+    metadata = read_metadata_file()
+
+    # 遍历 plugins 下所有目录，获取目录的git远程地址
+    for plugin_name in os.listdir('plugins'):
+        plugin_path = os.path.join('plugins', plugin_name)
+        if not os.path.isdir(plugin_path):
+            continue
+        
+        remote_url = None
+        try:
+            remote_url = updater.get_remote_url(plugin_path)
+        except dulwich_err.NotGitRepository:
+            continue
+        if remote_url == "https://github.com/RockChinQ/QChatGPT" or remote_url == "https://gitee.com/RockChin/QChatGPT" \
+            or remote_url == "" or remote_url is None or remote_url == "http://github.com/RockChinQ/QChatGPT" or remote_url == "http://gitee.com/RockChin/QChatGPT":
+            continue
+
+        from . import host
+
+        if plugin_name not in metadata:
+            metadata[plugin_name] = {
+                'source': remote_url,
+                'install_timestamp': int(time.time()),
+                'ref': 'HEAD',
+            }
+
+    write_metadata_file(metadata)
+    
+
+def set_plugin_metadata(
+    plugin_name: str,
+    source: str,
+    install_timestamp: int,
+    ref: str,
+):
+    metadata = read_metadata_file()
+    metadata[plugin_name] = {
+        'source': source,
+        'install_timestamp': install_timestamp,
+        'ref': ref,
+    }
+    write_metadata_file(metadata)
+
+
+def remove_plugin_metadata(plugin_name: str):
+    metadata = read_metadata_file()
+    if plugin_name in metadata:
+        del metadata[plugin_name]
+        write_metadata_file(metadata)
+
+
+def get_plugin_metadata(plugin_name: str) -> dict:
+    metadata = read_metadata_file()
+    if plugin_name in metadata:
+        return metadata[plugin_name]
+    return {}

pkg/plugin/models.py

@@ -88,6 +88,8 @@ NormalMessageResponded = "normal_message_responded"
         session: pkg.openai.session.Session 会话对象
         prefix: str 回复文字消息的前缀
         response_text: str 响应文本
+        finish_reason: str 响应结束原因
+        funcs_called: list[str] 此次响应中调用的函数列表
     
     returns (optional):
         prefix: str 修改后的回复文字消息的前缀
@@ -132,18 +134,64 @@ KeySwitched = "key_switched"
         key_list: list[str] api-key列表
 """
 
+PromptPreProcessing = "prompt_pre_processing"
+"""每回合调用接口前对prompt进行预处理时触发，此事件不支持阻止默认行为
+    kwargs:
+        session_name: str 会话名称(<launcher_type>_<launcher_id>)
+        default_prompt: list 此session使用的情景预设内容
+        prompt: list 此session现有的prompt内容
+        text_message: str 用户发送的消息文本
+    
+    returns (optional):
+        default_prompt: list 修改后的情景预设内容
+        prompt: list 修改后的prompt内容
+        text_message: str 修改后的消息文本
+"""
 
-def on(event: str):
+
+def on(*args, **kwargs):
     """注册事件监听器
-    :param
-        event: str 事件名称
     """
-    return Plugin.on(event)
+    return Plugin.on(*args, **kwargs)
+
+def func(*args, **kwargs):
+    """注册内容函数，声明此函数为一个内容函数，在对话中将发送此函数给GPT以供其调用
+    此函数可以具有任意的参数，但必须按照[此文档](https://github.com/RockChinQ/CallingGPT/wiki/1.-Function-Format#function-format)
+    所述的格式编写函数的docstring。
+    此功能仅支持在使用gpt-3.5或gpt-4系列模型时使用。
+    """
+    return Plugin.func(*args, **kwargs)
 
 
 __current_registering_plugin__ = ""
 
 
+def require_ver(ge: str, le: str="v999.9.9") -> bool:
+    """插件版本要求装饰器
+
+    Args:
+        ge (str): 最低版本要求
+        le (str, optional): 最高版本要求
+
+    Returns:
+        bool: 是否满足要求, False时为无法获取版本号，True时为满足要求，报错为不满足要求
+    """
+    qchatgpt_version = ""
+    
+    from pkg.utils.updater import get_current_tag, compare_version_str
+
+    try:
+        qchatgpt_version = get_current_tag()  # 从updater模块获取版本号
+    except:
+        return False
+
+    if compare_version_str(qchatgpt_version, ge) < 0 or \
+        (compare_version_str(qchatgpt_version, le) > 0):
+        raise Exception("QChatGPT 版本不满足要求，某些功能（可能是由插件提供的）无法正常使用。（要求版本：{}-{}，但当前版本：{}）".format(ge, le, qchatgpt_version))
+
+    return True
+
+
 class Plugin:
     """插件基类"""
 
@@ -176,6 +224,34 @@ class Plugin:
 
         return wrapper
 
+    @classmethod
+    def func(cls, name: str=None):
+        """内容函数装饰器
+        """
+        global __current_registering_plugin__
+        from CallingGPT.entities.namespace import get_func_schema
+
+        def wrapper(func):
+
+            function_schema = get_func_schema(func)
+            function_schema['name'] = __current_registering_plugin__ + '-' + (func.__name__ if name is None else name)
+
+            function_schema['enabled'] = True
+
+            host.__function_inst_map__[function_schema['name']] = function_schema['function']
+
+            del function_schema['function']
+
+            # logging.debug("registering content function: p='{}', f='{}', s={}".format(__current_registering_plugin__, func, function_schema))
+
+            host.__callable_functions__.append(
+                function_schema
+            )
+
+            return func
+
+        return wrapper
+
 
 def register(name: str, description: str, version: str, author: str):
     """注册插件, 此函数作为装饰器使用

pkg/plugin/settings.py

@@ -8,7 +8,10 @@ import logging
 def wrapper_dict_from_runtime_context() -> dict:
     """从变量中包装settings.json的数据字典"""
     settings = {
-        "order": []
+        "order": [],
+        "functions": {
+            "enabled": host.__enable_content_functions__
+        }
     }
 
     for plugin_name in host.__plugins_order__:
@@ -22,6 +25,11 @@ def apply_settings(settings: dict):
     if "order" in settings:
         host.__plugins_order__ = settings["order"]
 
+    if "functions" in settings:
+        if "enabled" in settings["functions"]:
+            host.__enable_content_functions__ = settings["functions"]["enabled"]
+            # logging.debug("set content function enabled: {}".format(host.__enable_content_functions__))
+
 
 def dump_settings():
     """保存settings.json数据"""
@@ -78,6 +86,17 @@ def load_settings():
             settings["order"].append(plugin_name)
             settings_modified = True
 
+    if "functions" not in settings:
+        settings["functions"] = {
+            "enabled": host.__enable_content_functions__
+        }
+        settings_modified = True
+    elif "enabled" not in settings["functions"]:
+        settings["functions"]["enabled"] = host.__enable_content_functions__
+        settings_modified = True
+
+    logging.info("已全局{}内容函数。".format("启用" if settings["functions"]["enabled"] else "禁用"))
+
     apply_settings(settings)
 
     if settings_modified:

pkg/plugin/switch.py

@@ -28,6 +28,11 @@ def apply_switch(switch: dict):
     for plugin_name in switch:
         host.__plugins__[plugin_name]["enabled"] = switch[plugin_name]["enabled"]
 
+        # 查找此插件的所有内容函数
+        for func in host.__callable_functions__:
+            if func['name'].startswith(plugin_name + '-'):
+                func['enabled'] = switch[plugin_name]["enabled"]
+
 
 def dump_switch():
     """保存开关数据"""

pkg/qqbot/cmds/aamgr.py

@@ -327,6 +327,10 @@ def apply_privileges():
     for path, priv in data.items():
         if path == 'comment':
             continue
+        
+        if path not in __command_list__:
+            continue
+        
         if __command_list__[path]['privilege'] != priv:
             logging.debug('应用权限: {} -> {}(default: {})'.format(path, priv, __command_list__[path]['privilege']))
 

pkg/qqbot/cmds/funcs/func.py

@@ -0,0 +1,33 @@
+from ..aamgr import AbstractCommandNode, Context
+import logging
+
+import json
+
+
+@AbstractCommandNode.register(
+    parent=None,
+    name="func",
+    description="管理内容函数",
+    usage="!func",
+    aliases=[],
+    privilege=1
+)
+class FuncCommand(AbstractCommandNode):
+    @classmethod
+    def process(cls, ctx: Context) -> tuple[bool, list]:
+        from pkg.plugin.models import host
+
+        reply = []
+
+        reply_str = "当前已加载的内容函数：\n\n"
+
+        logging.debug("host.__callable_functions__: {}".format(json.dumps(host.__callable_functions__, indent=4)))
+
+        index = 1
+        for func in host.__callable_functions__:
+            reply_str += "{}. {}{}:\n{}\n\n".format(index, ("(已禁用) " if not func['enabled'] else ""), func['name'], func['description'])
+            index += 1
+            
+        reply = [reply_str]
+
+        return True, reply

pkg/qqbot/cmds/plugin/plugin.py

@@ -12,7 +12,7 @@ import pkg.utils.updater as updater
     description="插件管理",
     usage="!plugin\n!plugin get <插件仓库地址>\n!plugin update\n!plugin del <插件名>\n!plugin on <插件名>\n!plugin off <插件名>",
     aliases=[],
-    privilege=2
+    privilege=1
 )
 class PluginCommand(AbstractCommandNode):
     @classmethod
@@ -84,7 +84,7 @@ class PluginGetCommand(AbstractCommandNode):
 @AbstractCommandNode.register(
     parent=PluginCommand,
     name="update",
-    description="更新所有插件",
+    description="更新指定插件或全部插件",
     usage="!plugin update",
     aliases=[],
     privilege=2
@@ -110,7 +110,9 @@ class PluginUpdateCommand(AbstractCommandNode):
                             plugin_host.update_plugin(key)
                             updated.append(key)
                     else:
-                        if ctx.crt_params[0] in plugin_list:
+                        plugin_path_name = plugin_host.get_plugin_path_name_by_plugin_name(ctx.crt_params[0])
+
+                        if plugin_path_name is not None:
                             plugin_host.update_plugin(ctx.crt_params[0])
                             updated.append(ctx.crt_params[0])
                         else:
@@ -119,7 +121,7 @@ class PluginUpdateCommand(AbstractCommandNode):
                     pkg.utils.context.get_qqbot_manager().notify_admin("已更新插件: {}, 请发送 !reload 重载插件".format(", ".join(updated)))
                 except Exception as e:
                     logging.error("插件更新失败:{}".format(e))
-                    pkg.utils.context.get_qqbot_manager().notify_admin("插件更新失败:{} 请尝试手动更新插件".format(e))
+                    pkg.utils.context.get_qqbot_manager().notify_admin("插件更新失败:{} 请使用 !plugin 命令确认插件名称或尝试手动更新插件".format(e))
 
             reply = ["[bot]正在更新插件，请勿重复发起..."]
             threading.Thread(target=closure).start()
@@ -188,6 +190,11 @@ class PluginOnOffCommand(AbstractCommandNode):
             plugin_name = ctx.crt_params[0]
             if plugin_name in plugin_list:
                 plugin_list[plugin_name]['enabled'] = new_status
+
+                for func in plugin_host.__callable_functions__:
+                    if func['name'].startswith(plugin_name+"-"):
+                        func['enabled'] = new_status
+
                 plugin_switch.dump_switch()
                 reply = ["[bot]已{}插件: {}".format("启用" if new_status else "禁用", plugin_name)]
             else:

pkg/qqbot/cmds/system/cconfig.py

@@ -8,7 +8,7 @@ def config_operation(cmd, params):
     config = pkg.utils.context.get_config()
     reply_str = ""
     if len(params) == 0:
-        reply = ["[bot]err:请输入配置项"]
+        reply = ["[bot]err:请输入!cmd cfg查看使用方法"]
     else:
         cfg_name = params[0]
         if cfg_name == 'all':
@@ -26,45 +26,61 @@ def config_operation(cmd, params):
                     else:
                         reply_str += "{}: {}\n".format(cfg, getattr(config, cfg))
             reply = [reply_str]
-        elif cfg_name in dir(config):
-            if len(params) == 1:
-                # 按照配置项类型进行格式化
-                if isinstance(getattr(config, cfg_name), str):
-                    reply_str = "[bot]配置项{}: \"{}\"\n".format(cfg_name, getattr(config, cfg_name))
-                elif isinstance(getattr(config, cfg_name), dict):
-                    reply_str = "[bot]配置项{}: {}\n".format(cfg_name,
-                                                             json.dumps(getattr(config, cfg_name),
-                                                                        ensure_ascii=False, indent=4))
-                else:
-                    reply_str = "[bot]配置项{}: {}\n".format(cfg_name, getattr(config, cfg_name))
-                reply = [reply_str]
-            else:
-                cfg_value = " ".join(params[1:])
-                # 类型转换，如果是json则转换为字典
-                if cfg_value == 'true':
-                    cfg_value = True
-                elif cfg_value == 'false':
-                    cfg_value = False
-                elif cfg_value.isdigit():
-                    cfg_value = int(cfg_value)
-                elif cfg_value.startswith('{') and cfg_value.endswith('}'):
-                    cfg_value = json.loads(cfg_value)
-                else:
-                    try:
-                        cfg_value = float(cfg_value)
-                    except ValueError:
-                        pass
-
-                # 检查类型是否匹配
-                if isinstance(getattr(config, cfg_name), type(cfg_value)):
-                    setattr(config, cfg_name, cfg_value)
-                    pkg.utils.context.set_config(config)
-                    reply = ["[bot]配置项{}修改成功".format(cfg_name)]
-                else:
-                    reply = ["[bot]err:配置项{}类型不匹配".format(cfg_name)]
-
         else:
-            reply = ["[bot]err:未找到配置项 {}".format(cfg_name)]
+            cfg_entry_path = cfg_name.split('.')
+
+            try:
+                if len(params) == 1:
+                    cfg_entry = getattr(config, cfg_entry_path[0])
+                    if len(cfg_entry_path) > 1:
+                        for i in range(1, len(cfg_entry_path)):
+                            cfg_entry = cfg_entry[cfg_entry_path[i]]
+
+                    if isinstance(cfg_entry, str):
+                        reply_str = "[bot]配置项{}: \"{}\"\n".format(cfg_name, cfg_entry)
+                    elif isinstance(cfg_entry, dict):
+                        reply_str = "[bot]配置项{}: {}\n".format(cfg_name,
+                                                                 json.dumps(cfg_entry,
+                                                                            ensure_ascii=False, indent=4))
+                    else:
+                        reply_str = "[bot]配置项{}: {}\n".format(cfg_name, cfg_entry)
+                    reply = [reply_str]
+                else:
+                    cfg_value = " ".join(params[1:])
+                    # 类型转换，如果是json则转换为字典
+                    # if cfg_value == 'true':
+                    #     cfg_value = True
+                    # elif cfg_value == 'false':
+                    #     cfg_value = False
+                    # elif cfg_value.isdigit():
+                    #     cfg_value = int(cfg_value)
+                    # elif cfg_value.startswith('{') and cfg_value.endswith('}'):
+                    #     cfg_value = json.loads(cfg_value)
+                    # else:
+                    #     try:
+                    #         cfg_value = float(cfg_value)
+                    #     except ValueError:
+                    #         pass
+                    cfg_value = eval(cfg_value)
+
+                    cfg_entry = getattr(config, cfg_entry_path[0])
+                    if len(cfg_entry_path) > 1:
+                        for i in range(1, len(cfg_entry_path) - 1):
+                            cfg_entry = cfg_entry[cfg_entry_path[i]]
+                        if isinstance(cfg_entry[cfg_entry_path[-1]], type(cfg_value)):
+                            cfg_entry[cfg_entry_path[-1]] = cfg_value
+                            reply = ["[bot]配置项{}修改成功".format(cfg_name)]
+                        else:
+                            reply = ["[bot]err:配置项{}类型不匹配".format(cfg_name)]
+                    else:
+                        setattr(config, cfg_entry_path[0], cfg_value)
+                        reply = ["[bot]配置项{}修改成功".format(cfg_name)]
+            except AttributeError:
+                reply = ["[bot]err:未找到配置项 {}".format(cfg_name)]
+            except ValueError:
+                reply = ["[bot]err:未找到配置项 {}".format(cfg_name)]
+        # else:
+        #     reply = ["[bot]err:未找到配置项 {}".format(cfg_name)]
 
     return reply
 

pkg/qqbot/manager.py

@@ -102,6 +102,9 @@ class QQBotManager:
 
     enable_banlist = False
 
+    enable_private = True
+    enable_group = True
+
     ban_person = []
     ban_group = []
 
@@ -115,7 +118,7 @@ class QQBotManager:
         # 故只在第一次初始化时创建bot对象，重载之后使用原bot对象
         # 因此，bot的配置不支持热重载
         if first_time_init:
-            logging.info("Use adapter:" + config.msg_source_adapter)
+            logging.debug("Use adapter:" + config.msg_source_adapter)
             if config.msg_source_adapter == 'yirimirai':
                 from pkg.qqbot.sources.yirimirai import YiriMiraiAdapter
 
@@ -242,6 +245,11 @@ class QQBotManager:
             self.ban_group = banlist.group
             logging.info("加载禁用列表: person: {}, group: {}".format(self.ban_person, self.ban_group))
 
+            if hasattr(banlist, "enable_private"):
+                self.enable_private = banlist.enable_private
+            if hasattr(banlist, "enable_group"):
+                self.enable_group = banlist.enable_group
+
         config = pkg.utils.context.get_config()
         if os.path.exists("sensitive.json") \
                 and config.sensitive_word_filter is not None \
@@ -256,8 +264,24 @@ class QQBotManager:
         else:
             self.reply_filter = pkg.qqbot.filter.ReplyFilter([])
 
-    def send(self, event, msg, check_quote=True):
+    def send(self, event, msg, check_quote=True, check_at_sender=True):
         config = pkg.utils.context.get_config()
+        
+        if check_at_sender and config.at_sender:
+            msg.insert(
+                0,
+                Plain(" \n")
+            )
+
+            # 当回复的正文中包含换行时，quote可能会自带at，此时就不再单独添加at，只添加换行
+            if "\n" not in str(msg[1]) or config.msg_source_adapter == 'nakuru':
+                msg.insert(
+                    0,
+                    At(
+                        event.sender.id
+                    )
+                )
+
         self.adapter.reply_message(
             event,
             msg,
@@ -269,7 +293,9 @@ class QQBotManager:
         import config
         reply = ''
 
-        if event.sender.id == self.bot_account_id:
+        if not self.enable_private:
+            logging.debug("已在banlist.py中禁用所有私聊")
+        elif event.sender.id == self.bot_account_id:
             pass
         else:
             if Image in event.message_chain:
@@ -303,7 +329,7 @@ class QQBotManager:
                     reply = [tips_custom.reply_message]
 
         if reply:
-            return self.send(event, reply, check_quote=False)
+            return self.send(event, reply, check_quote=False, check_at_sender=False)
 
     # 群消息处理
     def on_group_message(self, event: GroupMessage):
@@ -342,8 +368,10 @@ class QQBotManager:
                 replys = [tips_custom.replys_message]
 
             return replys
-
-        if Image in event.message_chain:
+        
+        if not self.enable_group:
+            logging.debug("已在banlist.py中禁用所有群聊")
+        elif Image in event.message_chain:
             pass
         else:
             if At(self.bot_account_id) in event.message_chain and response_at(event.group.id):

pkg/qqbot/message.py

@@ -40,7 +40,7 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
         try:
             prefix = "[GPT]" if config.show_prefix else ""
 
-            text = session.append(text_message)
+            text, finish_reason, funcs = session.query(text_message)
 
             # 触发插件事件
             args = {
@@ -49,7 +49,9 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
                 "sender_id": sender_id,
                 "session": session,
                 "prefix": prefix,
-                "response_text": text
+                "response_text": text,
+                "finish_reason": finish_reason,
+                "funcs_called": funcs,
             }
 
             event = pkg.plugin.host.emit(plugin_models.NormalMessageResponded, **args)
@@ -62,14 +64,15 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
 
             if not event.is_prevented_default():
                 reply = [prefix + text]
-        except openai.error.APIConnectionError as e:
+
+        except openai.APIConnectionError as e:
             err_msg = str(e)
             if err_msg.__contains__('Error communicating with OpenAI'):
-                reply = handle_exception("{}会话调用API失败:{}\n请尝试关闭网络代理来解决此问题。".format(session_name, e),
+                reply = handle_exception("{}会话调用API失败:{}\n您的网络无法访问OpenAI接口或网络代理不正常".format(session_name, e),
                                          "[bot]err:调用API失败，请重试或联系管理员，或等待修复")
             else:
                 reply = handle_exception("{}会话调用API失败:{}".format(session_name, e), "[bot]err:调用API失败，请重试或联系管理员，或等待修复")
-        except openai.error.RateLimitError as e:
+        except openai.RateLimitError as e:
             logging.debug(type(e))
             logging.debug(e.error['message'])
 
@@ -113,10 +116,14 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
             else:
                 reply = handle_exception("{}会话调用API失败:{}".format(session_name, e),
                                          "[bot]err:RateLimitError,请重试或联系作者，或等待修复")
-        except openai.error.InvalidRequestError as e:
-            reply = handle_exception("{}API调用参数错误:{}\n".format(
-                             session_name, e), "[bot]err:API调用参数错误，请联系管理员，或等待修复")
-        except openai.error.ServiceUnavailableError as e:
+        except openai.BadRequestError as e:
+            if config.auto_reset and "This model's maximum context length is" in str(e):
+                session.reset(persist=True)
+                reply = [tips_custom.session_auto_reset_message]
+            else:
+                reply = handle_exception("{}API调用参数错误:{}\n".format(
+                                session_name, e), "[bot]err:API调用参数错误，请联系管理员，或等待修复")
+        except openai.APIStatusError as e:
             reply = handle_exception("{}API调用服务不可用:{}".format(session_name, e), "[bot]err:API调用服务不可用，请重试或联系管理员，或等待修复")
         except Exception as e:
             logging.exception(e)

pkg/qqbot/process.py

@@ -74,7 +74,7 @@ def process_message(launcher_type: str, launcher_id: int, text_message: str, mes
     import config
     if config.income_msg_check:
         if mgr.reply_filter.is_illegal(text_message):
-            return MessageChain(Plain("[bot] 你的提问中有不合适的内容, 请更换措辞~"))
+            return MessageChain(Plain("[bot] 消息中存在不合适的内容, 请更换措辞"))
 
     pkg.openai.session.get_session(session_name).acquire_response_lock()
 

pkg/qqbot/sources/nakuru.py

@@ -185,7 +185,11 @@ class NakuruProjectAdapter(MessageSourceAdapter):
         if resp.status_code == 403:
             logging.error("go-cqhttp拒绝访问，请检查config.py中nakuru_config的token是否与go-cqhttp设置的access-token匹配")
             raise Exception("go-cqhttp拒绝访问，请检查config.py中nakuru_config的token是否与go-cqhttp设置的access-token匹配")
-        self.bot_account_id = int(resp.json()['data']['user_id'])
+        try:
+            self.bot_account_id = int(resp.json()['data']['user_id'])
+        except Exception as e:
+            logging.error("获取go-cqhttp账号信息失败: {}, 请检查是否已启动go-cqhttp并配置正确".format(e))
+            raise Exception("获取go-cqhttp账号信息失败: {}, 请检查是否已启动go-cqhttp并配置正确".format(e))
 
     def send_message(
         self,

pkg/qqbot/sources/yirimirai.py

@@ -1,6 +1,7 @@
 from ..adapter import MessageSourceAdapter
 import mirai
 import mirai.models.bus
+from mirai.bot import MiraiRunner
 
 import asyncio
 import typing
@@ -110,7 +111,12 @@ class YiriMiraiAdapter(MessageSourceAdapter):
         bus.unsubscribe(event_type, callback)
 
     def run_sync(self):
-        self.bot.run()
+        """运行YiriMirai"""
+
+        # 创建新的
+        loop = asyncio.new_event_loop()
+
+        loop.run_until_complete(MiraiRunner(self.bot)._run())
 
     def kill(self) -> bool:
         return False

pkg/utils/pkgmgr.py

@@ -8,7 +8,8 @@ def install(package):
     log.reset_logging()
 
 def install_upgrade(package):
-    pipmain(['install', '--upgrade', package])
+    pipmain(['install', '--upgrade', package, "-i", "https://pypi.tuna.tsinghua.edu.cn/simple",
+                    "--trusted-host", "pypi.tuna.tsinghua.edu.cn"])
     log.reset_logging()
 
 
@@ -18,7 +19,8 @@ def run_pip(params: list):
 
 
 def install_requirements(file):
-    pipmain(['install', '-r', file, "--upgrade"])
+    pipmain(['install', '-r', file, "--upgrade", "-i", "https://pypi.tuna.tsinghua.edu.cn/simple",
+                    "--trusted-host", "pypi.tuna.tsinghua.edu.cn"])
     log.reset_logging()
 
 

pkg/utils/updater.py

@@ -34,13 +34,18 @@ def pull_latest(repo_path: str) -> bool:
     return True
 
 
-def is_newer_ignored_bugfix_ver(new_tag: str, old_tag: str):
-    """判断版本是否更新，忽略第四位版本"""
+def is_newer(new_tag: str, old_tag: str):
+    """判断版本是否更新，忽略第四位版本和第一位版本"""
     if new_tag == old_tag:
         return False
 
     new_tag = new_tag.split(".")
     old_tag = old_tag.split(".")
+    
+    # 判断主版本是否相同
+    if new_tag[0] != old_tag[0]:
+        return False
+
     if len(new_tag) < 4:
         return True
 
@@ -73,6 +78,34 @@ def get_current_tag() -> str:
     return current_tag
 
 
+def compare_version_str(v0: str, v1: str) -> int:
+    """比较两个版本号"""
+
+    # 删除版本号前的v
+    if v0.startswith("v"):
+        v0 = v0[1:]
+    if v1.startswith("v"):
+        v1 = v1[1:]
+
+    v0:list = v0.split(".")
+    v1:list = v1.split(".")
+
+    # 如果两个版本号节数不同，把短的后面用0补齐
+    if len(v0) < len(v1):
+        v0.extend(["0"]*(len(v1)-len(v0)))
+    elif len(v0) > len(v1):
+        v1.extend(["0"]*(len(v0)-len(v1)))
+
+    # 从高位向低位比较
+    for i in range(len(v0)):
+        if int(v0[i]) > int(v1[i]):
+            return 1
+        elif int(v0[i]) < int(v1[i]):
+            return -1
+    
+    return 0
+
+
 def update_all(cli: bool = False) -> bool:
     """检查更新并下载源码"""
     current_tag = get_current_tag()
@@ -97,7 +130,7 @@ def update_all(cli: bool = False) -> bool:
     else:
         print("更新日志: {}".format(rls_notes))
 
-    if latest_rls == {} and not is_newer_ignored_bugfix_ver(latest_tag_name, current_tag):  # 没有新版本
+    if latest_rls == {} and not is_newer(latest_tag_name, current_tag):  # 没有新版本
         return False
 
     # 下载最新版本的zip到temp目录
@@ -254,7 +287,7 @@ def is_new_version_available() -> bool:
             latest_tag_name = rls['tag_name']
             break
 
-    return is_newer_ignored_bugfix_ver(latest_tag_name, current_tag)
+    return is_newer(latest_tag_name, current_tag)
 
 
 def get_rls_notes() -> list:

requirements.txt

@@ -1,10 +1,13 @@
-requests~=2.28.1
-openai~=0.27.6
-dulwich~=0.21.5
+requests
+openai
+dulwich~=0.21.6
 colorlog~=6.6.0
-yiri-mirai~=0.2.7
+yiri-mirai
 websockets
-urllib3~=1.26.10
+urllib3
 func_timeout~=4.3.5
 Pillow
-nakuru-project-idk
+nakuru-project-idk
+CallingGPT
+tiktoken
+PyYaml

res/announcement.json

@@ -1,8 +1,14 @@
 [
     {
-        "id": 0,
-        "time": "2023-04-24 16:05:20",
-        "timestamp": 1682323520,
-        "content": "现已支持使用go-cqhttp替换mirai作为QQ登录框架, 请更新并查看 https://github.com/RockChinQ/QChatGPT/wiki/go-cqhttp%E9%85%8D%E7%BD%AE"
+        "id": 2,
+        "time": "2023-08-01 10:49:26",
+        "timestamp": 1690858166,
+        "content": "现已支持GPT函数调用功能，欢迎了解：https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8-%E5%86%85%E5%AE%B9%E5%87%BD%E6%95%B0"
+    },
+    {
+        "id": 3,
+        "time": "2023-11-10 12:20:09",
+        "timestamp": 1699590009,
+        "content": "OpenAI 库1.0版本已发行，若出现 OpenAI 调用问题，请更新 QChatGPT 版本。详见项目主页：https://github.com/RockChinQ/QChatGPT"
     }
 ]

res/docs/docker_deploy.md

@@ -1,4 +1,6 @@
 
+> **Warning**
+> 此文档已过时，请查看[QChatGPT 容器化部署指南](docker_deployment.md)
 
 ## 操作步骤
 

res/docs/docker_deployment.md

@@ -0,0 +1,64 @@
+# QChatGPT 容器化部署指南
+
+> **Warning**  
+> 请您确保您**确实**需要 Docker 部署，您**必须**具有以下能力：  
+> - 了解 `Docker` 和 `Docker Compose` 的使用  
+> - 了解容器间网络通信配置方式  
+> - 了解容器文件挂载机制  
+> - 了解容器调试操作
+> - 动手能力强、资料查找能力强
+>
+> 若您不完全具有以上能力，请勿使用 Docker 部署，由于误操作导致的配置不正确，我们将不会解答您的问题并不负任何责任。  
+> **非常不建议**您在除 Linux 之外的系统上使用 Docker 进行部署。
+
+## 概览
+
+QChatGPT 主程序需要连接`QQ登录框架`以与QQ通信，您可以选择 [Mirai](https://github.com/mamoe/mirai)（还需要配置mirai-api-http，请查看此仓库README中手动部署部分） 或 [go-cqhttp](https://github.com/Mrs4s/go-cqhttp)，我们仅发布 QChatGPT主程序 的镜像，您需要自行配置QQ登录框架（可以参考[README.md](https://github.com/RockChinQ/QChatGPT#-%E9%85%8D%E7%BD%AEqq%E7%99%BB%E5%BD%95%E6%A1%86%E6%9E%B6)中的教程，或自行寻找其镜像）并在 QChatGPT 的配置文件中设置连接地址。
+
+> **Note**
+> 请先确保 Docker 和 Docker Compose 已安装
+
+## 准备文件
+
+> QChatGPT 目前暂不可以在没有配置模板文件的情况下自动生成文件，您需要按照以下步骤手动创建需要挂载的文件。  
+> 如无特殊说明，模板文件均在此仓库中。  
+
+> 如果您不想挨个创建，也可以直接clone本仓库到本地，执行`python main.py`后即可自动根据模板生成所需文件。
+
+现在请在一个空目录创建以下文件或目录：
+
+### 📄`config.py`
+
+复制根目录的`config-template.py`所有内容，创建`config.py`并根据其中注释进行修改。
+
+### 📄`banlist.py`
+
+复制`res/templates/banlist-template.py`所有内容，创建`banlist.py`，这是黑名单配置文件，根据需要修改。
+
+### 📄`cmdpriv.json`
+
+复制`res/templates/cmdpriv-template.json`所有内容，创建`cmdpriv.json`，这是各命令的权限配置文件，根据需要修改。
+
+### 📄`sensitive.json`
+
+复制`res/templates/sensitive-template.json`所有内容，创建`sensitive.json`，这是敏感词配置，根据需要修改。
+
+### 📄`tips.py`
+
+复制`tips-custom-template.py`所有内容，创建`tips.py`，这是部分提示语的配置，根据需要修改。
+
+## 运行
+
+已预先准备好`docker-compose.yaml`，您需要根据您的网络配置进行适当修改，使容器内的 QChatGPT 程序可以正常与 Mirai 或 go-cqhttp 通信。
+
+将`docker-compose.yaml`复制到本目录，根据网络环境进行配置，并执行:
+
+```bash
+docker compose up
+```
+
+若无报错即配置完成，您可以Ctrl+C关闭后使用`docker compose up -d`将其置于后台运行
+
+## 注意
+
+- 安装的插件都会保存在`plugins`(映射到本目录`plugins`)，安装插件时可能会自动安装相应的依赖，此时若`重新创建`容器，已安装的插件将被加载，但所需的增量依赖并未安装，会导致引入问题。您可以删除插件目录后重启，再次安装插件，以便程序可以自动安装插件所需依赖。

res/templates/banlist-template.py

@@ -1,3 +1,13 @@
+# 是否处理群聊消息
+# 为False时忽略所有群聊消息
+# 优先级高于下方禁用列表
+enable_group = True
+
+# 是否处理私聊消息
+# 为False时忽略所有私聊消息
+# 优先级高于下方禁用列表
+enable_private = True
+
 # 是否启用禁用列表
 enable = True
 

res/templates/cmdpriv-template.json

@@ -1,7 +1,8 @@
 {
     "comment": "以下为命令权限，请设置到cmdpriv.json中。关于此功能的说明，请查看：https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E5%91%BD%E4%BB%A4%E6%9D%83%E9%99%90%E6%8E%A7%E5%88%B6",
     "draw": 1,
-    "plugin": 2,
+    "func": 1,
+    "plugin": 1,
     "plugin.get": 2,
     "plugin.update": 2,
     "plugin.del": 2,

res/wiki/1-功能使用.md

@@ -48,12 +48,12 @@
 </details>
 
 <details>
-<summary>✅支持预设指令文字</summary>
+<summary>✅支持预设文字</summary>
 
   - 支持以自然语言预设文字，自定义机器人人格等信息
   - 详见`config.py`中的`default_prompt`部分
-  - 支持设置多个预设情景，并通过!reset、!default等指令控制，详细请查看[wiki指令](https://github.com/RockChinQ/QChatGPT/wiki/%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%8C%87%E4%BB%A4)
-  - 支持使用文件存储情景预设文字，并加载: 在`prompts/`目录新建文件写入预设文字，即可通过`!reset <文件名>`指令加载
+  - 支持设置多个预设情景，并通过!reset、!default等命令控制，详细请查看[wiki命令](https://github.com/RockChinQ/QChatGPT/wiki/1-%E5%8A%9F%E8%83%BD%E4%BD%BF%E7%94%A8#%E6%9C%BA%E5%99%A8%E4%BA%BA%E5%91%BD%E4%BB%A4)
+  - 支持使用文件存储情景预设文字，并加载: 在`prompts/`目录新建文件写入预设文字，即可通过`!reset <文件名>`命令加载
 </details>
 
 <details>
@@ -61,25 +61,25 @@
 
   - 使用SQLite进行会话内容持久化
   - 最后一次对话一定时间后自动保存，请到`config.py`中修改`session_expire_time`的值以自定义时间
-  - 运行期间可使用`!reset` `!list` `!last` `!next` `!prompt`等指令管理会话
+  - 运行期间可使用`!reset` `!list` `!last` `!next` `!prompt`等命令管理会话
 </details>
 <details>
 <summary>✅支持对话、绘图等模型，可玩性更高</summary>
 
   - 现已支持OpenAI的对话`Completion API`和绘图`Image API`
-  - 向机器人发送指令`!draw <prompt>`即可使用绘图模型
+  - 向机器人发送命令`!draw <prompt>`即可使用绘图模型
 </details>
 <details>
-<summary>✅支持指令控制热重载、热更新</summary>
+<summary>✅支持命令控制热重载、热更新</summary>
 
-  - 允许在运行期间修改`config.py`或其他代码后，以管理员账号向机器人发送指令`!reload`进行热重载，无需重启
-  - 运行期间允许以管理员账号向机器人发送指令`!update`进行热更新，拉取远程最新代码并执行热重载
+  - 允许在运行期间修改`config.py`或其他代码后，以管理员账号向机器人发送命令`!reload`进行热重载，无需重启
+  - 运行期间允许以管理员账号向机器人发送命令`!update`进行热更新，拉取远程最新代码并执行热重载
 </details>
 <details>
 <summary>✅支持插件加载🧩</summary>
 
   - 自行实现插件加载器及相关支持
-  - 详细查看[插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)
+  - 详细查看[插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/5-%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)
 </details>
 <details>
 <summary>✅私聊、群聊黑名单机制</summary>
@@ -153,14 +153,14 @@
 
 <img alt="绘图功能" src="https://github.com/RockChinQ/QChatGPT/blob/master/res/屏幕截图%202022-12-29%20194948.png" width="550" height="348"/>
 
-### 机器人指令
+### 机器人命令
 
-目前支持的指令  
+目前支持的命令  
 
 > `<>` 中的为必填参数，使用时请不要包含`<>`  
 > `[]` 中的为可选参数，使用时请不要包含`[]`
 
-#### 用户级别指令
+#### 用户级别命令
 
 > 可以使用`!help`命令来查看命令说明
 
@@ -174,7 +174,7 @@
 !del all          删除本会话对象的所有历史记录
 !last             切换到前一次会话
 !next             切换到后一次会话
-!reset [使用预设]  重置对象的当前会话，可指定使用的情景预设值(通过!default指令查看可用的)
+!reset [使用预设]  重置对象的当前会话，可指定使用的情景预设值(通过!default命令查看可用的)
 !prompt           查看对象当前会话的所有记录
 !usage            查看api-key的使用量
 !draw <提示语>     进行绘图
@@ -184,7 +184,7 @@
 !default          查看可用的情景预设值
 ```
 
-#### 管理员指令
+#### 管理员命令
 
 仅管理员私聊机器人时可使用，必须先在`config.py`中的`admin_qq`设置管理员QQ
 
@@ -197,9 +197,9 @@
 !delhst all                         删除所有会话的所有历史记录
 ```
 <details>
-<summary>⚙ !cfg 指令及其简化形式详解</summary>
+<summary>⚙ !cfg 命令及其简化形式详解</summary>
 
-此指令可以在运行期间由管理员通过QQ私聊窗口修改配置信息，**重启之后会失效**。  
+此命令可以在运行期间由管理员通过QQ私聊窗口修改配置信息，**重启之后会失效**。  
 
 用法：
 1. 查看所有配置项及其值
@@ -225,7 +225,7 @@
 格式: `!cfg <配置项名称> <配置项新值>`  
 以修改`default_prompt`示例
 ```
-!cfg default_prompt 我是Rock Chin
+!cfg default_prompt "我是Rock Chin"
 ```
 
 输出示例
@@ -239,11 +239,19 @@
 
 格式:`!~<配置项名称>`  
 其中`!~`等价于`!cfg `  
-则前述三个指令分别可以简化为:  
+则前述三个命令分别可以简化为:  
 ```
 !~all
 !~default_prompt
-!~default_prompt 我是Rock Chin
+!~default_prompt "我是Rock Chin"
+```
+
+5. 配置项名称支持使用点号(.)拼接以索引子配置项
+
+例如: `openai_config.api_key`将索引`config`字典中的`openai_config`字典中的`api_key`字段，可以通过这个方式查看或修改此子配置项
+
+```
+!~openai_config.api_key
 ```
 
 </details>
@@ -282,11 +290,11 @@ sensitive_word_filter = True
 ### 预设文字(default模式)
 
 编辑`config.py`中的`default_prompt`字段，预设文字不宜过长(建议1000字以内)，目前所有会话都会射到预设文字的影响。  
-或将情景预设文字写入到`prompts/`目录下，运行期间即可使用`!reset <文件名>`指令加载，或使用`!default <文件名>`指令将其设为默认
+或将情景预设文字写入到`prompts/`目录下，运行期间即可使用`!reset <文件名>`命令加载，或使用`!default <文件名>`命令将其设为默认
 
 ### 预设文字(full_scenario模式)
 
-将JSON情景写入到`scenario/`目录下，运行期间即可使用`!reset <文件名>`指令加载，或使用`!default <文件名>`指令将其设为默认.
+将JSON情景写入到`scenario/`目录下，运行期间即可使用`!reset <文件名>`命令加载，或使用`!default <文件名>`命令将其设为默认.
 
 JSON情景模板参考`scenario/default_template.json`。
 
@@ -359,7 +367,7 @@ prompt_submit_length = <模型单次请求token数上限> - 情景预设中token
 
 在运行期间，使用管理员QQ账号私聊机器人，发送`!reload`加载修改后的`config.py`的值或编辑后的代码，无需重启  
 使用管理员账号私聊机器人，发送`!update`拉取最新代码并进行热更新，无需重启  
-详见前述`管理员指令`段落
+详见前述`管理员命令`段落
 
 ### 群内无需@响应规则
 
@@ -367,4 +375,5 @@ prompt_submit_length = <模型单次请求token数上限> - 情景预设中token
 
 ### 加入黑名单
 
-编辑`banlist.py`，设置`enable = True`，并在其中的`person`或`group`列表中加入要封禁的人或群聊，修改完成后重启程序或进行热重载
+- 支持禁用所有`私聊`或`群聊`，请查看`banlist.py`中的`enable_private`和`enable_group`字段
+- 编辑`banlist.py`，设置`enable = True`，并在其中的`person`或`group`列表中加入要封禁的人或群聊，修改完成后重启程序或进行热重载

res/wiki/2-功能常见问题.md

@@ -4,7 +4,7 @@
 
 #### 自动更新
 
-由管理员QQ私聊机器人QQ发送`!update`指令
+由管理员QQ私聊机器人QQ发送`!update`命令
 
 #### 手动更新
 

res/wiki/5-插件使用.md

@@ -4,6 +4,9 @@ QChatGPT 插件使用Wiki
 
 `plugins`目录下的所有`.py`程序都将被加载，除了`__init__.py`之外的模块支持热加载
 
+> 插件分为`行为插件`和`内容插件`两种，行为插件由主程序运行中的事件驱动，内容插件由GPT生成的内容驱动，请查看内容插件页  
+> 已有插件列表：[QChatGPT 插件](https://github.com/stars/RockChinQ/lists/qchatgpt-%E6%8F%92%E4%BB%B6)
+
 ## 安装
 
 ### 储存库克隆(推荐)
@@ -33,6 +36,8 @@ QChatGPT 插件使用Wiki
 !plugin del <插件名>       删除插件(需要管理员权限)
 !plugin on <插件名>        启用插件(需要管理员权限)
 !plugin off <插件名>       禁用插件(需要管理员权限)
+
+!func                      列出所有内容函数
 ```
 
 ### 控制插件执行顺序
@@ -42,4 +47,9 @@ QChatGPT 插件使用Wiki
 ### 启用或关闭插件
 
 无需卸载即可管理插件的开关  
-编辑`plugins`目录下的`switch.json`文件，将相应的插件的`enabled`字段设置为`true/false(开/关)`，之后重启程序或执行热重载即可控制插件开关
+编辑`plugins`目录下的`switch.json`文件，将相应的插件的`enabled`字段设置为`true/false(开/关)`，之后重启程序或执行热重载即可控制插件开关
+
+### 控制全局内容函数开关
+
+内容函数是基于[GPT的Function Calling能力](https://platform.openai.com/docs/guides/gpt/function-calling)实现的，这是一种嵌入对话中，由GPT自动调用的函数。  
+每个插件可以自行注册内容函数，您可以在`plugins`目录下的`settings.json`中设置`functions`下的`enabled`为`true`或`false`控制这些内容函数的启用或禁用。

res/wiki/6-插件使用-内容函数.md

@@ -0,0 +1,31 @@
+> 说白了就是ChatGPT官方插件那种东西
+
+内容函数是基于[GPT的Function Calling能力](https://platform.openai.com/docs/guides/gpt/function-calling)实现的，这是一种嵌入对话中，由GPT自动调用的函数。  
+
+例如我们为GPT提供一个函数`access_the_web`，并提供其详细的描述以及其参数的描述，那么当我们在与GPT对话时涉及类似以下内容时：
+
+```
+Q: 请搜索一下github上有那些QQ机器人项目？
+Q: 请为我搜索一些不错的云服务商网站？
+Q：阅读并总结这篇文章：https://zhuanlan.zhihu.com/p/607570830
+Q：搜一下清远今天天气如何
+```
+
+GPT将会回复一个对`access_the_web`的函数调用请求，QChatGPT将自动处理执行该调用，并返回结果给GPT使其生成新的回复。
+
+当然，函数调用功能不止局限于网络访问，还可以实现图片处理、科学计算、行程规划等需要调用函数的功能，理论上我们可以通过内容函数实现与`ChatGPT Plugins`相同的功能。
+
+- 您需要使用`v2.5.0`以上的版本才能加载包含内容函数的插件
+- 您需要同时在`config.py`中的`completion_api_params`中设置`model`为支持函数调用的模型，推荐使用`gpt-3.5-turbo-16k`
+- 使用此功能可能会造成难以预期的账号余额消耗，请关注
+- [逆向库插件](https://github.com/RockChinQ/revLibs)现在也支持函数调用了..您可以在完全免费的情况下使用GPT-3.5进行函数调用，若您在主程序配置了内容函数并启用，逆向ChatGPT会自动使用这些函数
+
+### ？QChatGPT有什么类型的插件？区别是什么？
+
+QChatGPT具有`行为插件`和`内容函数`两种扩展方式，行为插件是完整的插件结构，是由运行期间的事件驱动的，内容函数被包含于一个完整的插件体中，由GPT接口驱动。
+
+> 还是不理解？可以尝试根据插件开发页的步骤自行编写插件
+
+## QChatGPT的一些不错的内容函数插件
+
+- [WebwlkrPlugin](https://github.com/RockChinQ/WebwlkrPlugin) - 让机器人能联网！！

res/wiki/7-插件开发.md

@@ -1,7 +1,7 @@
 QChatGPT 插件开发Wiki
 
-> 请先阅读[插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)  
-> 请先阅读[技术信息页](https://github.com/RockChinQ/QChatGPT/wiki/%E6%8A%80%E6%9C%AF%E4%BF%A1%E6%81%AF)  
+> 请先阅读[插件使用页](https://github.com/RockChinQ/QChatGPT/wiki/5-%E6%8F%92%E4%BB%B6%E4%BD%BF%E7%94%A8)  
+> 请先阅读[技术信息页](https://github.com/RockChinQ/QChatGPT/wiki/4-%E6%8A%80%E6%9C%AF%E4%BF%A1%E6%81%AF)  
 > 建议先阅读本项目源码，了解项目架构
 
 > 问题、需求请到仓库issue发起  
@@ -113,6 +113,199 @@ class HelloPlugin(Plugin):
 - 一个目录内可以存放多个Python程序文件，以独立出插件的各个功能，便于开发者管理，但不建议在一个目录内注册多个插件
 - 插件需要的依赖库请在插件目录下的`requirements.txt`中指定，程序从储存库获取此插件时将自动安装依赖
 
+## 🪝内容函数
+
+通过[GPT的Function Calling能力](https://platform.openai.com/docs/guides/gpt/function-calling)实现的`内容函数`，这是一种嵌入对话中，由GPT自动调用的函数。
+
+> 您的插件不一定必须包含内容函数，请先查看内容函数页了解此功能
+
+<details>
+<summary>示例：联网插件</summary>
+
+加载含有联网功能的内容函数的插件[WebwlkrPlugin](https://github.com/RockChinQ/WebwlkrPlugin)，向机器人询问在线内容
+
+```
+# 控制台输出
+[2023-07-29 17:37:18.698] message.py (26) - [INFO] : [person_1010553892]发送消息:介绍一下这个项目：https://git...
+[2023-07-29 17:37:21.292] util.py (67) - [INFO] : message='OpenAI API response' path=https://api.openai.com/v1/chat/completions processing_ms=1902 request_id=941afc13b2e1bba1e7877b92a970cdea response_code=200
+[2023-07-29 17:37:21.293] chat_completion.py (159) - [INFO] : 执行函数调用: name=Webwlkr-access_the_web, arguments={'url': 'https://github.com/RockChinQ/QChatGPT', 'brief_len': 512}
+[2023-07-29 17:37:21.848] chat_completion.py (164) - [INFO] : 函数执行完成。
+```
+
+![Webwlkr插件](https://github.com/RockChinQ/QChatGPT/blob/master/res/screenshots/webwlkr_plugin.png?raw=true)
+
+</details>
+
+### 内容函数编写步骤
+
+1️⃣ 请先按照上方步骤编写您的插件基础结构，现在请删除（当然你也可以不删，只是为了简洁）上述插件内容的诸个由`@on`装饰的类函数
+
+<details>
+<summary>删除后的结构</summary>
+
+```python
+from pkg.plugin.models import *
+from pkg.plugin.host import EventContext, PluginHost
+
+"""
+在收到私聊或群聊消息"hello"时，回复"hello, <发送者id>!"或"hello, everyone!"
+"""
+
+
+# 注册插件
+@register(name="Hello", description="hello world", version="0.1", author="RockChinQ")
+class HelloPlugin(Plugin):
+
+    # 插件加载时触发
+    # plugin_host (pkg.plugin.host.PluginHost) 提供了与主程序交互的一些方法，详细请查看其源码
+    def __init__(self, plugin_host: PluginHost):
+        pass
+
+    # 插件卸载时触发
+    def __del__(self):
+        pass
+```
+
+</details>
+
+2️⃣ 现在我们将以下函数添加到刚刚删除的函数的位置
+
+```Python
+
+# 要添加的函数
+
+@func(name="access_the_web")  # 设置函数名称
+def _(url: str):
+    """Call this function to search about the question before you answer any questions.
+    - Do not search through baidu.com at any time.
+    - If you need to search somthing, visit https://www.google.com/search?q=xxx.
+    - If user ask you to open a url (start with http:// or https://), visit it directly.
+    - Summary the plain content result by yourself, DO NOT directly output anything in the result you got.
+
+    Args:
+        url(str): url to visit
+
+    Returns:
+        str: plain text content of the web page
+    """
+    import requests
+    from bs4 import BeautifulSoup
+    # 你需要先使用
+    # pip install beautifulsoup4
+    # 安装依赖
+
+    r = requests.get(
+        url,
+        timeout=10,
+        headers={
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36 Edg/115.0.1901.183"
+        }
+    )
+    soup = BeautifulSoup(r.text, 'html.parser')
+
+    s = soup.get_text()
+
+    # 删除多余的空行或仅有\t和空格的行
+    s = re.sub(r'\n\s*\n', '\n', s)
+
+    if len(s) >= 512:  # 截取获取到的网页纯文本内容的前512个字
+        return s[:512]
+
+    return s
+
+```
+<details>
+<summary>现在这个文件内容应该是这样</summary>
+
+```python
+from pkg.plugin.models import *
+from pkg.plugin.host import EventContext, PluginHost
+
+"""
+在收到私聊或群聊消息"hello"时，回复"hello, <发送者id>!"或"hello, everyone!"
+"""
+
+
+# 注册插件
+@register(name="Hello", description="hello world", version="0.1", author="RockChinQ")
+class HelloPlugin(Plugin):
+
+    # 插件加载时触发
+    # plugin_host (pkg.plugin.host.PluginHost) 提供了与主程序交互的一些方法，详细请查看其源码
+    def __init__(self, plugin_host: PluginHost):
+        pass
+
+    @func(name="access_the_web")
+    def _(url: str):
+        """Call this function to search about the question before you answer any questions.
+        - Do not search through baidu.com at any time.
+        - If you need to search somthing, visit https://www.google.com/search?q=xxx.
+        - If user ask you to open a url (start with http:// or https://), visit it directly.
+        - Summary the plain content result by yourself, DO NOT directly output anything in the result you got.
+
+        Args:
+            url(str): url to visit
+
+        Returns:
+            str: plain text content of the web page
+        """
+        import requests
+        from bs4 import BeautifulSoup
+        # 你需要先使用
+        # pip install beautifulsoup4
+        # 安装依赖
+
+        r = requests.get(
+            url,
+            timeout=10,
+            headers={
+                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36 Edg/115.0.1901.183"
+            }
+        )
+        soup = BeautifulSoup(r.text, 'html.parser')
+
+        s = soup.get_text()
+
+        # 删除多余的空行或仅有\t和空格的行
+        s = re.sub(r'\n\s*\n', '\n', s)
+
+        if len(s) >= 512:  # 截取获取到的网页纯文本内容的前512个字
+            return s[:512]
+
+        return s
+
+    # 插件卸载时触发
+    def __del__(self):
+        pass
+```
+
+</details>
+
+#### 请注意：
+
+- 函数的注释必须严格按照要求的格式进行书写，具体格式请查看[此文档](https://github.com/RockChinQ/CallingGPT/wiki/1.-Function-Format#function-format)
+- 内容函数和`以@on装饰的行为函数`可以同时存在于同一个插件，并同时受到`switch.json`中的插件开关的控制
+- 务必确保您使用的模型支持函数调用功能，可以到`config.py`的`completion_api_params`中修改模型，推荐使用`gpt-3.5-turbo-16k`
+
+3️⃣ 现在您的程序已具备网络访问功能，重启程序，询问机器人有关在线的内容或直接发送文章链接请求其总结。
+
+- 这仅仅是一个示例，需要更高效的网络访问能力支持插件，请查看[WebwlkrPlugin](https://github.com/RockChinQ/WebwlkrPlugin)
+
+## 🔒版本要求
+
+若您的插件对主程序的版本有要求，可以使用以下函数进行断言，若不符合版本，此函数将报错并打断此函数所在的流程：
+
+```python
+require_ver("v2.5.1")  # 要求最低版本为 v2.5.1
+```
+
+```python
+require_ver("v2.5.1", "v2.6.0")  # 要求最低版本为 v2.5.1, 同时要求最高版本为 v2.6.0
+```
+
+- 此函数在主程序`v2.5.1`中加入
+- 此函数声明在`pkg.plugin.models`模块中，在插件示例代码最前方已引入此模块所有内容，故可直接使用
+
 ## 📄API参考
 
 ### 说明
@@ -161,18 +354,18 @@ PersonNormalMessageReceived = "person_normal_message_received"
 """
 
 PersonCommandSent = "person_command_sent"
-"""判断为应该处理的私聊指令时触发
+"""判断为应该处理的私聊命令时触发
     kwargs:
         launcher_type: str 发起对象类型(group/person)
         launcher_id: int 发起对象ID(群号/QQ号)
         sender_id: int 发送者ID(QQ号)
-        command: str 指令
+        command: str 命令
         params: list[str] 参数列表
-        text_message: str 完整指令文本
+        text_message: str 完整命令文本
         is_admin: bool 是否为管理员
     
     returns (optional):
-        alter: str 修改后的完整指令文本
+        alter: str 修改后的完整命令文本
         reply: list 回复消息组件列表，元素为YiriMirai支持的消息组件
 """
 
@@ -190,18 +383,18 @@ GroupNormalMessageReceived = "group_normal_message_received"
 """
 
 GroupCommandSent = "group_command_sent"
-"""判断为应该处理的群聊指令时触发
+"""判断为应该处理的群聊命令时触发
     kwargs:
         launcher_type: str 发起对象类型(group/person)
         launcher_id: int 发起对象ID(群号/QQ号)
         sender_id: int 发送者ID(QQ号)
-        command: str 指令
+        command: str 命令
         params: list[str] 参数列表
-        text_message: str 完整指令文本
+        text_message: str 完整命令文本
         is_admin: bool 是否为管理员
     
     returns (optional):
-        alter: str 修改后的完整指令文本
+        alter: str 修改后的完整命令文本
         reply: list 回复消息组件列表，元素为YiriMirai支持的消息组件
 """
 
@@ -214,10 +407,11 @@ NormalMessageResponded = "normal_message_responded"
         session: pkg.openai.session.Session 会话对象
         prefix: str 回复文字消息的前缀
         response_text: str 响应文本
+        finish_reason: str 响应结束原因
     
     returns (optional):
         prefix: str 修改后的回复文字消息的前缀
-        reply: list 替换回复消息组件列表，元素为YiriMirai支持的消息组件
+        reply: list 替换回复消息组件列表
 """
 
 SessionFirstMessageReceived = "session_first_message_received"
@@ -257,6 +451,20 @@ KeySwitched = "key_switched"
         key_name: str 切换成功的api-key名称
         key_list: list[str] api-key列表
 """
+
+PromptPreProcessing = "prompt_pre_processing"  # 于v2.5.1加入
+"""每回合调用接口前对prompt进行预处理时触发，此事件不支持阻止默认行为
+    kwargs:
+        session_name: str 会话名称(<launcher_type>_<launcher_id>)
+        default_prompt: list 此session使用的情景预设内容
+        prompt: list 此session现有的prompt内容
+        text_message: str 用户发送的消息文本
+    
+    returns (optional):
+        default_prompt: list 修改后的情景预设内容
+        prompt: list 修改后的prompt内容
+        text_message: str 修改后的消息文本
+"""
 ```
 
 ### host: PluginHost 详解

tests/bs_test/bs_test.py

@@ -0,0 +1,42 @@
+
+import requests
+from bs4 import BeautifulSoup
+import os
+import random
+import sys
+
+
+user_agents = [
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36',
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:89.0) Gecko/20100101 Firefox/89.0',
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:88.0) Gecko/20100101 Firefox/88.0',
+    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36',
+    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
+    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Version/14.1.2 Safari/537.36',
+    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Version/14.1 Safari/537.36',
+    'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:89.0) Gecko/20100101 Firefox/89.0',
+    'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:88.0) Gecko/20100101 Firefox/88.0'
+]
+
+r = requests.get(
+    sys.argv[1],
+    headers={
+        "User-Agent": random.choice(user_agents)
+    }    
+)
+soup = BeautifulSoup(r.text, 'html.parser')
+# print(soup.get_text())
+
+raw = soup.get_text()
+
+import re
+
+# strip每一行
+# raw = '\n'.join([line.strip() for line in raw.split('\n')])
+
+# # 删除所有空行或只有空格的行
+# raw = re.sub(r'\n\s*\n', '\n', raw)
+
+
+print(raw)

tests/proxy_test/forward_proxy_test.py

@@ -0,0 +1,24 @@
+import os
+
+import openai
+
+client = openai.Client(
+    api_key=os.environ["OPENAI_API_KEY"],
+)
+
+openai.proxies = {
+    'http': 'http://127.0.0.1:7890',
+    'https': 'http://127.0.0.1:7890',
+}
+
+resp = client.chat.completions.create(
+    model="gpt-3.5-turbo",
+    messages=[
+        {
+            "role": "user",
+            "content": "Hello, how are you?",
+        }
+    ]
+)
+
+print(resp)

tests/repo_regexp_test.py

@@ -0,0 +1,7 @@
+import re
+
+repo_url = "git@github.com:RockChinQ/WebwlkrPlugin.git"
+
+repo =  re.findall(r'(?:https?://github\.com/|git@github\.com:)([^/]+/[^/]+?)(?:\.git|/|$)', repo_url)
+
+print(repo)

tests/ssh_client_test/ssh_client.py

@@ -0,0 +1,57 @@
+import os
+import sys
+import paramiko
+import time
+import select
+
+
+class sshClient:
+    #创建一个ssh客户端，和服务器连接上，准备发消息
+    def __init__(self,host,port,user,password):
+        self.trans = paramiko.Transport((host, port))
+        self.trans.start_client()
+        self.trans.auth_password(username=user, password=password)
+        self.channel = self.trans.open_session()
+        self.channel.get_pty()
+        self.channel.invoke_shell()
+
+    #给服务器发送一个命令
+    def sendCmd(self,cmd):
+        self.channel.sendall(cmd)
+        
+    #接收的时候，有时候服务器处理的比较慢，需要设置一个延时等待一下。
+    def recvResponse(self,timeout):
+        data=b''
+        while True:
+            try:
+                #使用select，不断的读取数据，直到没有多余的数据了，超时返回。
+                readable,w,e= select.select([self.channel],[],[],timeout)
+                if self.channel in readable:
+                    data = self.channel.recv(1024)
+                else:
+                    sys.stdout.write(data.decode())
+                    sys.stdout.flush()
+                    return data.decode()
+            except TimeoutError:
+                sys.stdout.write(data.decode())
+                sys.stdout.flush()
+                return data.decode
+    #关闭客户端
+    def close(self):
+        self.channel.close()
+        self.trans.close()
+
+host='host'
+port=22#your port
+user='root'
+pwd='pass'
+
+ssh = sshClient(host,port,user,pwd)
+response = ssh.recvResponse(1)
+response = ssh.sendCmd("ls\n")
+ssh.sendCmd("cd /home\n")
+response = ssh.recvResponse(1)
+ssh.sendCmd("ls\n")
+response = ssh.recvResponse(1)
+
+ssh.close()

tests/token_test/tiktoken_test.py

@@ -0,0 +1,124 @@
+import tiktoken
+import openai
+import json
+import os
+
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+
+def encode(text: str, model: str):
+    import tiktoken
+    enc = tiktoken.get_encoding("cl100k_base")
+    assert enc.decode(enc.encode("hello world")) == "hello world"
+
+    # To get the tokeniser corresponding to a specific model in the OpenAI API:
+    enc = tiktoken.encoding_for_model(model)
+
+    return enc.encode(text)
+
+
+# def ask(prompt: str, model: str = "gpt-3.5-turbo"):
+#     # To get the tokeniser corresponding to a specific model in the OpenAI API:
+#     enc = tiktoken.encoding_for_model(model)
+    
+#     resp = openai.ChatCompletion.create(
+#         model=model,
+#         messages=[
+#             {
+#                 "role": "user",
+#                 "content": prompt
+#             }
+#         ]
+#     )
+
+#     return enc.encode(prompt), enc.encode(resp['choices'][0]['message']['content']), resp
+
+def ask(
+    messages: list,
+    model: str = "gpt-3.5-turbo"
+):
+    enc = tiktoken.encoding_for_model(model)
+
+    resp = openai.ChatCompletion.create(
+        model=model,
+        messages=messages
+    )
+
+    txt = ""
+
+    for r in messages:
+        txt += r['role'] + r['content'] + "\n"
+    
+    txt += "assistant: "
+
+    return enc.encode(txt), enc.encode(resp['choices'][0]['message']['content']), resp
+
+
+def num_tokens_from_messages(messages, model="gpt-3.5-turbo-0613"):
+    """Return the number of tokens used by a list of messages."""
+    try:
+        encoding = tiktoken.encoding_for_model(model)
+    except KeyError:
+        print("Warning: model not found. Using cl100k_base encoding.")
+        encoding = tiktoken.get_encoding("cl100k_base")
+    if model in {
+        "gpt-3.5-turbo-0613",
+        "gpt-3.5-turbo-16k-0613",
+        "gpt-4-0314",
+        "gpt-4-32k-0314",
+        "gpt-4-0613",
+        "gpt-4-32k-0613",
+        }:
+        tokens_per_message = 3
+        tokens_per_name = 1
+    elif model == "gpt-3.5-turbo-0301":
+        tokens_per_message = 4  # every message follows <|start|>{role/name}\n{content}<|end|>\n
+        tokens_per_name = -1  # if there's a name, the role is omitted
+    elif "gpt-3.5-turbo" in model:
+        print("Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0613.")
+        return num_tokens_from_messages(messages, model="gpt-3.5-turbo-0613")
+    elif "gpt-4" in model:
+        print("Warning: gpt-4 may update over time. Returning num tokens assuming gpt-4-0613.")
+        return num_tokens_from_messages(messages, model="gpt-4-0613")
+    else:
+        raise NotImplementedError(
+            f"""num_tokens_from_messages() is not implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens."""
+        )
+    num_tokens = 0
+    for message in messages:
+        num_tokens += tokens_per_message
+        for key, value in message.items():
+            num_tokens += len(encoding.encode(value))
+            if key == "name":
+                num_tokens += tokens_per_name
+    num_tokens += 3  # every reply is primed with <|start|>assistant<|message|>
+    return num_tokens
+
+messages = [
+    {
+        "role": "user",
+        "content": "你叫什么名字？"
+    },{
+        "role": "assistant",
+        "content": "我是AI助手，没有具体的名字。你可以叫我GPT-3。有什么可以帮到你的吗？"
+    },{
+        "role": "user",
+        "content": "你是由谁开发的？"
+    },{
+        "role": "assistant",
+        "content": "我是由OpenAI开发的，一家人工智能研究实验室。OpenAI的使命是促进人工智能的发展，使其为全人类带来积极影响。我是由OpenAI团队使用GPT-3模型训练而成的。"
+    },{
+        "role": "user",
+        "content": "很高兴见到你。"
+    }
+]
+
+
+pro, rep, resp=ask(messages)
+
+print(len(pro), len(rep))
+print(resp)
+print(resp['choices'][0]['message']['content'])
+
+print(num_tokens_from_messages(messages, model="gpt-3.5-turbo"))

tips-custom-template.py

@@ -30,5 +30,8 @@ command_admin_message = "[bot]err:权限不足： "
 command_err_message = "[bot]err:指令不存在："
 
 # 会话重置提示
-command_reset_message = "[bot]:会话已重置"
-command_reset_name_message = "[bot]:会话已重置，使用场景预设:"
+command_reset_message = "[bot]会话已重置"
+command_reset_name_message = "[bot]会话已重置，使用场景预设:"
+
+# 会话自动重置时的提示
+session_auto_reset_message = "[bot]会话token超限，已自动重置，请重新发送消息"