🐛 fix: 修复 LLM 响应后事件钩子无法生效的问题

fix: install_plugin_from_file 方法load传参数改为文件名

.codecov.yml

@@ -1,3 +0,0 @@
-comment:
-    layout: "condensed_header, condensed_files, condensed_footer"
-    hide_project_coverage: TRUE

.coveragerc

@@ -1,5 +0,0 @@
-[run]
-omit =
-    */site-packages/*
-    */dist-packages/*
-    your_package_name/tests/*

.dockerignore

@@ -16,3 +16,5 @@ venv*/
 ENV/
 .conda/
 README*.md
+dashboard/
+data/

.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.yml

@@ -0,0 +1,40 @@
+name: '🥳 发布插件'
+title: "[Plugin] 插件名"
+description: 提交插件到插件市场
+labels: [ "plugin-publish" ]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        欢迎发布插件到插件市场！请确保您的插件经过**完整的**测试。
+  
+  - type: textarea
+    attributes:
+      label: 插件仓库
+      description: 插件的 GitHub 仓库链接
+      placeholder: >
+        如 https://github.com/Soulter/astrbot-github-cards
+
+  - type: textarea
+    attributes:
+      label: 描述
+      value: |
+        插件名: 
+        插件作者: 
+        插件简介: 
+        支持的消息平台:(必填，如 QQ、微信、飞书)
+        标签:(可选)
+        社交链接:(可选, 将会在插件市场作者名称上作为可点击的链接)
+      description: 必填。请以列表的字段按顺序将插件名、插件作者、插件简介放在这里。如果您不知道支持哪些消息平台，请填写测试过的消息平台。
+
+  - type: checkboxes
+    attributes:
+      label: Code of Conduct
+      options:
+        - label: >
+            我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
+          required: true
+
+  - type: markdown
+    attributes:
+      value: "❤️"

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -28,7 +28,7 @@ body:
 
   - type: textarea
     attributes:
-      label: AstrBot 版本与部署方式
+      label: AstrBot 版本、部署方式（如 Windows Docker Desktop 部署）、使用的提供商、使用的消息平台适配器
       description: >
         请提供您的 AstrBot 版本和部署方式。
       placeholder: >
@@ -53,9 +53,9 @@ body:
 
   - type: textarea
     attributes:
-      label: 额外信息
+      label: 报错日志
       description: >
-        任何额外信息，如报错日志、截图等。
+        如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！
       placeholder: >
         请提供完整的报错日志或截图。
     validations:
@@ -65,7 +65,7 @@ body:
     attributes:
       label: 你愿意提交 PR 吗？
       description: >
-        这绝对不是必需的，但我们很乐意在贡献过程中为您提供指导特别是如果你已经很好地理解了如何实现修复。
+        这不是必需的，但我们很乐意在贡献过程中为您提供指导特别是如果你已经很好地理解了如何实现修复。
       options:
         - label: 是的，我愿意提交 PR!
 
@@ -79,4 +79,4 @@ body:
 
   - type: markdown
     attributes:
-      value: "感谢您填写我们的表单！"
+      value: "感谢您填写我们的表单！"

.github/workflows/auto_release.yml

@@ -0,0 +1,35 @@
+on:
+  push:
+    tags:
+      - 'v*'
+  workflow_dispatch:
+
+name: Auto Release
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Dashboard Build
+        run: |
+          cd dashboard
+          npm install
+          npm run build
+          echo "COMMIT_SHA=$(git rev-parse HEAD)" >> $GITHUB_ENV
+          echo ${{ github.ref_name }} > dist/assets/version
+          zip -r dist.zip dist
+
+      - name: Fetch Changelog
+        run: |
+          echo "changelog=changelogs/${{github.ref_name}}.md" >> "$GITHUB_ENV"
+
+      - name: Create Release
+        uses: ncipollo/release-action@v1
+        with:
+          bodyFile: ${{ env.changelog }}
+          artifacts: "dashboard/dist.zip"

.github/workflows/coverage_test.yml

@@ -1,7 +1,14 @@
 name: Run tests and upload coverage
 
 on: 
-  push
+  push:
+    branches:
+      - master
+    paths-ignore:
+      - 'README.md'
+      - 'changelogs/**'
+      - 'dashboard/**'
+  workflow_dispatch:
 
 jobs:
   test:
@@ -21,17 +28,16 @@ jobs:
           python -m pip install --upgrade pip
           pip install -r requirements.txt
           pip install pytest pytest-cov pytest-asyncio
-          mkdir data
-          mkdir data/plugins
-          mkdir data/config
-          mkdir temp
 
       - name: Run tests
         run: |
-          export LLM_MODEL=${{ secrets.LLM_MODEL }}
-          export OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE }}
-          export OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}
-          PYTHONPATH=./ pytest --cov=. tests/ -v
+          mkdir data
+          mkdir data/plugins
+          mkdir data/config
+          mkdir data/temp
+          export TESTING=true
+          export ZHIPU_API_KEY=${{ secrets.OPENAI_API_KEY }}
+          PYTHONPATH=./ pytest --cov=. tests/ -v -o log_cli=true -o log_level=DEBUG
 
       - name: Upload results to Codecov
         uses: codecov/codecov-action@v4

.github/workflows/dashboard_ci.yml

@@ -0,0 +1,31 @@
+name: AstrBot Dashboard CI
+
+on: [push]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: npm install, build
+        run: |
+          cd dashboard
+          npm install
+          npm run build
+
+      - name: Inject Commit SHA
+        id: get_sha
+        run: |
+          echo "COMMIT_SHA=$(git rev-parse HEAD)" >> $GITHUB_ENV
+          mkdir -p dashboard/dist/assets
+          echo $COMMIT_SHA > dashboard/dist/assets/version
+
+      - name: Archive production artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: dist-without-markdown
+          path: |
+            dashboard/dist
+            !dist/**/*.md

.github/workflows/docker-image.yml

@@ -1,8 +1,9 @@
 name: Docker Image CI/CD
 
 on:
-  release:
-    types: [published]
+  push:
+    tags:
+      - 'v*'
   workflow_dispatch:
 
 jobs:
@@ -35,7 +36,7 @@ jobs:
           push: true
           tags: |
             ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:latest
-            ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:${{ github.event.release.tag_name }}
+            ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:${{ github.ref_name }}
 
       - name: Post build notifications
         run: echo "Docker image has been built and pushed successfully"

.gitignore

@@ -1,14 +1,32 @@
 __pycache__
 botpy.log
 .vscode
-data.db
+.venv*
+.idea
+data_v2.db
+data_v3.db
 configs/session
 configs/config.yaml
 **/.DS_Store
 temp
 cmd_config.json
-data/*
+data
 cookies.json
 logs/
 addons/plugins
-.coverage
+.coverage
+
+
+tests/astrbot_plugin_openai
+chroma
+dashboard/node_modules/
+dashboard/dist/
+.DS_Store
+package-lock.json
+package.json
+venv/*
+packages/python_interpreter/workplace
+.venv/*
+.conda/
+.idea
+pytest.ini

.pre-commit-config.yaml

@@ -0,0 +1,13 @@
+default_install_hook_types: [pre-commit, prepare-commit-msg]
+ci:
+  autofix_commit_msg: ":balloon: auto fixes by pre-commit hooks"
+  autofix_prs: true
+  autoupdate_branch: master
+  autoupdate_schedule: weekly
+  autoupdate_commit_msg: ":balloon: pre-commit autoupdate"
+repos:
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.11.2
+    hooks:
+      - id: ruff
+      - id: ruff-format

Dockerfile

@@ -12,7 +12,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
-RUN python -m pip install -r requirements.txt
+RUN python -m pip install -r requirements.txt --no-cache-dir
+
+RUN python -m pip install socksio wechatpy cryptography --no-cache-dir
 
 EXPOSE 6185 
 EXPOSE 6186

LICENSE

@@ -629,8 +629,8 @@ to attach them to the start of each source file to most effectively
 state the exclusion of warranty; and each file should have at least
 the "copyright" line and a pointer to where the full notice is found.
 
-    <one line to give the program's name and a brief idea of what it does.>
-    Copyright (C) <year>  <name of author>
+    AstrBot is a llm-powered chatbot and develop framework.
+    Copyright (C) 2022-2099 Soulter
 
     This program is free software: you can redistribute it and/or modify
     it under the terms of the GNU Affero General Public License as published

README.md

@@ -1,67 +1,188 @@
 <p align="center">
-
-<img width="750" alt="image" src="https://github.com/Soulter/AstrBot/assets/37870767/c6f057d9-46d7-4144-8116-00a962941746">
+    
+![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
 
 </p>
+
 <div align="center">
 
-[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
-<img src="https://img.shields.io/badge/python-3.9+-blue.svg" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
-[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
-<a href="https://qm.qq.com/cgi-bin/qm/qr?k=EYGsuUTfe00_iOu9JTXS7_TEpMkXOvwv&jump_from=webapi&authKey=uUEMKCROfsseS+8IzqPjzV3y1tzy4AkykwTib2jNkOFdzezF9s9XknqnIaf3CDft">
-<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-322154837-purple">
-</a>
+_✨ 易上手的多平台 LLM 聊天机器人及开发框架 ✨_
 
-<a href="https://astrbot.soulter.top/docs/main">快速开始</a> ｜
-<a href="https://github.com/Soulter/AstrBot/issues">问题提交</a> ｜
-<a href="https://astrbot.soulter.top/docs/develop/plugin4p">插件开发</a>
+<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot?style=for-the-badge&color=76bad9)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
+<a  href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="Static Badge" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg?style=for-the-badge&color=76bad9)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B4%BB%E8%B7%83%E9%87%8F&cacheSeconds=60&style=for-the-badge&color=3b618e)
+
+<a href="https://github.com/Soulter/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/Soulter/AstrBot/blob/master/README_ja.md">日本語</a> ｜
+<a href="https://astrbot.app/">查看文档</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">问题提交</a>
 </div>
 
-## 🛠️ 功能
+AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用的插件系统和完善的大语言模型（LLM）接入功能的聊天机器人及开发框架。
 
-🌍 支持的消息平台
-- QQ 群、QQ 频道（OneBot、QQ 官方接口）
-- Telegram（[astrbot_plugin_telegram](https://github.com/Soulter/astrbot_plugin_telegram) 插件）
+[![star](https://gitcode.com/Soulter/AstrBot/star/badge.svg?style=for-the-badge)](https://gitcode.com/Soulter/AstrBot)
 
-🌍 支持的大模型/底座：
+<!-- [![codecov](https://img.shields.io/codecov/c/github/soulter/astrbot?style=for-the-badge)](https://codecov.io/gh/Soulter/AstrBot)
+ -->
 
-- OpenAI GPT、DallE 系列
-- Claude（由[LLMs插件](https://github.com/Soulter/llms)支持）
-- HuggingChat（由[LLMs插件](https://github.com/Soulter/llms)支持）
-- Gemini（由[LLMs插件](https://github.com/Soulter/llms)支持）
-- Ollama 
-- 几乎所有已知模型（可接入 [OneAPI](https://astrbot.soulter.top/docs/docs/adavanced/one-api)）
+## ✨ 主要功能
 
-🌍 机器人支持的能力一览：
-- 大模型对话、人格、网页搜索
-- 可视化仪表盘
-- 同时处理多平台消息
-- 精确到个人的会话隔离
-- 插件支持
-- 文本转图片回复（Markdown）
+1. **大语言模型对话**。支持各种大语言模型，包括 OpenAI API、Google Gemini、Llama、Deepseek、ChatGLM 等，支持接入本地部署的大模型，通过 Ollama、LLMTuner。具有多轮对话、人格情境、多模态能力，支持图片理解、语音转文字（Whisper）。
+2. **支持 MCP**。AstrBot 现已支持接入 MCP 服务器。
+3. **多消息平台接入**。支持接入 QQ（OneBot）、QQ 频道、微信（Gewechat）、飞书、Telegram。后续将支持钉钉、Discord、WhatsApp、小爱音响。支持速率限制、白名单、关键词过滤、百度内容审核。
+4. **Agent**。原生支持部分 Agent 能力，如代码执行器、自然语言待办、网页搜索。对接 [Dify 平台](https://astrbot.app/others/dify.html)，便捷接入 Dify 智能助手、知识库和 Dify 工作流。
+5. **插件扩展**。深度优化的插件机制，支持[开发插件](https://astrbot.app/dev/plugin.html)扩展功能，极简开发。已支持安装多个插件。
+6. **可视化管理面板**。支持可视化修改配置、插件管理、日志查看等功能，降低配置难度。集成 WebChat，可在面板上与大模型对话。
+7. **高稳定性、高模块化**。基于事件总线和流水线的架构设计，高度模块化，低耦合。
 
-## 🧩 插件
+> [!TIP]
+> 管理面板在线体验 Demo: [https://demo.astrbot.app/](https://demo.astrbot.app/)
+> 
+> 用户名: `astrbot`, 密码: `astrbot`。未配置 LLM，无法在聊天页使用大模型。（不要再修改 demo 的登录密码了 😭）
 
-有关插件的使用和列表请移步：[AstrBot 文档 - 插件](https://astrbot.soulter.top/docs/get-started/plugin)
+## ✨ 使用方式
 
-## 云部署
+#### Docker 部署
+
+请参阅官方文档 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) 。
+
+#### Windows 一键安装器部署
+
+请参阅官方文档 [使用 Windows 一键安装器部署 AstrBot](https://astrbot.app/deploy/astrbot/windows.html) 。
+
+#### 宝塔面板部署
+
+请参阅官方文档 [宝塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html) 。
+
+#### CasaOS 部署
+
+社区贡献的部署方式。
+
+请参阅官方文档 [CasaOS 部署](https://astrbot.app/deploy/astrbot/casaos.html) 。
+
+#### 手动部署
+
+请参阅官方文档 [通过源码部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html) 。
+
+#### Replit 部署
 
 [![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
+## ⚡ 消息平台支持情况
+
+| 平台    | 支持性 | 详情 | 消息类型 |
+| -------- | ------- | ------- | ------ |
+| QQ(官方机器人接口) | ✔    | 私聊、群聊，QQ 频道私聊、群聊 | 文字、图片 |
+| QQ(OneBot)      | ✔    | 私聊、群聊 | 文字、图片、语音 |
+| 微信(个人号)    | ✔    | 微信个人号私聊、群聊 | 文字、图片、语音 |
+| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram)   | ✔    | 私聊、群聊 | 文字、图片 |
+| [微信(企业微信)](https://github.com/Soulter/astrbot_plugin_wecom)    | ✔    | 私聊 | 文字、图片、语音 |
+| 飞书   | ✔    | 私聊、群聊 | 文字、图片 |
+| 钉钉   | ✔    | 私聊、群聊 | 文字、图片 |
+| 微信对话开放平台 | 🚧    | 计划内 | - |
+| Discord   | 🚧    | 计划内 | - |
+| WhatsApp   | 🚧    | 计划内 | - |
+| 小爱音响   | 🚧    | 计划内 | - |
+
+## ⚡ 提供商支持情况
+
+| 名称    | 支持性 | 类型 | 备注 |
+| -------- | ------- | ------- | ------- |
+| OpenAI API | ✔    | 文本生成 | 同时也支持 DeepSeek、Google Gemini、GLM（智谱）、Moonshot（月之暗面）、阿里云百炼、硅基流动、xAI 等所有兼容 OpenAI API 的服务 |
+| Claude API | ✔    | 文本生成 |  |
+| Google Gemini API | ✔    | 文本生成 |  |
+| Dify | ✔    | LLMOps |  |
+| DashScope(阿里云百炼应用) | ✔    | LLMOps |  |
+| Ollama | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
+| LM Studio | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
+| LLMTuner | ✔    | 模型加载器 | 本地加载 lora 等微调模型 |
+| OneAPI | ✔    | LLM 分发系统 |  |
+| Whisper | ✔    | 语音转文本 | 支持 API、本地部署 |
+| SenseVoice | ✔    | 语音转文本 | 本地部署 |
+| OpenAI TTS API | ✔    | 文本转语音 |  |
+| GSVI | ✔    | 文本转语音 | GPT-Sovits-Inference |
+| Fishaudio | ✔    | 文本转语音 | GPT-Sovits 作者参与的项目 |
+| Edge-TTS | ✔    | 文本转语音 | Edge 浏览器的免费 TTS |
+
 ## ❤️ 贡献
 
 欢迎任何 Issues/Pull Requests！只需要将你的更改提交到此项目 ：)
 
-对于新功能的添加，请先通过 Issue 进行讨论。
+### 如何贡献
 
-## 🔭 展望
+你可以通过查看问题或帮助审核 PR（拉取请求）来贡献。任何问题或 PR 都欢迎参与，以促进社区贡献。当然，这些只是建议，你可以以任何方式进行贡献。对于新功能的添加，请先通过 Issue 讨论。
 
-- [ ] 更多、更开放的 LLM Agent 能力
+### 开发环境
+
+AstrBot 使用 `ruff` 进行代码格式化和检查。
+
+```bash
+git clone https://github.com/Soulter/AstrBot
+pip install pre-commit
+pre-commit install
+```
+
+## 🌟 支持
+
+- Star 这个项目！
+- 在[爱发电](https://afdian.com/a/soulter)支持我！
+- 在[微信](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)支持我~
 
 ## ✨ Demo
 
-<img width="900" alt="image" src="https://github.com/Soulter/AstrBot/assets/37870767/824d1ff3-7b85-481c-b795-8e62dedb9fd7">
+> [!NOTE]
+> 代码执行器的文件输入/输出目前仅测试了 Napcat(QQ), Lagrange(QQ)
 
+<div align='center'>
 
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+
+_✨基于 Docker 的沙箱化代码执行器（Beta 测试中）✨_
+
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+
+_✨ 多模态、网页搜索、长文本转图片（可配置） ✨_
+
+<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
+
+_✨ 自然语言待办事项 ✨_
+
+<img src="https://github.com/user-attachments/assets/e137a9e1-340a-4bf2-bb2b-771132780735" height=150>
+<img src="https://github.com/user-attachments/assets/480f5e82-cf6a-4955-a869-0d73137aa6e1" height=150>
+
+_✨ 插件系统——部分插件展示 ✨_
+
+<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width=600>
+
+_✨ 管理面板 ✨_
+
+![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
+
+_✨ 内置 Web Chat，在线与机器人交互 ✨_
+
+</div>
+
+## ⭐ Star History
+
+> [!TIP] 
+> 如果本项目对您的生活 / 工作产生了帮助，或者您关注本项目的未来发展，请给项目 Star，这是我维护这个开源项目的动力 <3
+
+<div align="center">
+    
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
+
+</div>
+
+## Disclaimer
+
+1. The project is protected under the `AGPL-v3` opensource license.
+2. The deployment of WeChat (personal account) utilizes [Gewechat](https://github.com/Devo919/Gewechat) service. AstrBot only guarantees connectivity with Gewechat and recommends using a WeChat account that is not frequently used. In the event of account risk control, the author of this project shall not bear any responsibility.
+3. Please ensure compliance with local laws and regulations when using this project.
+
+_私は、高性能ですから!_
 

README_en.md

@@ -0,0 +1,182 @@
+<p align="center">
+    
+![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+
+</p>
+
+<div align="center">
+
+_✨ Easy-to-use Multi-platform LLM Chatbot & Development Framework ✨_
+
+<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
+<a  href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple"></a>
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
+
+<a href="https://astrbot.app/">Documentation</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">Issue Tracking</a>
+</div>
+
+AstrBot is a loosely coupled, asynchronous chatbot and development framework that supports multi-platform deployment, featuring an easy-to-use plugin system and comprehensive Large Language Model (LLM) integration capabilities.
+
+## ✨ Key Features
+
+1. **LLM Conversations** - Supports various LLMs including OpenAI API, Google Gemini, Llama, Deepseek, ChatGLM, etc. Enables local model deployment via Ollama/LLMTuner. Features multi-turn dialogues, personality contexts, multimodal capabilities (image understanding), and speech-to-text (Whisper).
+2. **Multi-platform Integration** - Supports QQ (OneBot), QQ Channels, WeChat (Gewechat), Feishu, and Telegram. Planned support for DingTalk, Discord, WhatsApp, and Xiaomi Smart Speakers. Includes rate limiting, whitelisting, keyword filtering, and Baidu content moderation.
+3. **Agent Capabilities** - Native support for code execution, natural language TODO lists, web search. Integrates with [Dify Platform](https://astrbot.app/others/dify.html) for easy access to Dify assistants/knowledge bases/workflows.
+4. **Plugin System** - Optimized plugin mechanism with minimal development effort. Supports multiple installed plugins.
+5. **Web Dashboard** - Visual configuration management, plugin controls, logging, and WebChat interface for direct LLM interaction.
+6. **High Stability & Modularity** - Event bus and pipeline architecture ensures high modularization and loose coupling.
+
+> [!TIP]
+> Dashboard Demo: [https://demo.astrbot.app/](https://demo.astrbot.app/)  
+> Username: `astrbot`, Password: `astrbot` (LLM not configured for chat page)
+
+## ✨ Deployment
+
+#### Docker Deployment
+
+See docs: [Deploy with Docker](https://astrbot.app/deploy/astrbot/docker.html#docker-deployment)
+
+#### Windows Installer
+
+Requires Python (>3.10). See docs: [Windows Installer Guide](https://astrbot.app/deploy/astrbot/windows.html)
+
+#### Replit Deployment
+
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
+
+#### CasaOS Deployment
+
+Community-contributed method.  
+See docs: [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html)
+
+#### Manual Deployment
+
+See docs: [Source Code Deployment](https://astrbot.app/deploy/astrbot/cli.html)
+
+## ⚡ Platform Support
+
+| Platform                                                       | Status | Details             | Message Types       |
+| -------------------------------------------------------------- | ------ | ------------------- | ------------------- |
+| QQ (Official Bot)                                              | ✔      | Private/Group chats | Text, Images        |
+| QQ (OneBot)                                                    | ✔      | Private/Group chats | Text, Images, Voice |
+| WeChat (Personal)                                              | ✔      | Private/Group chats | Text, Images, Voice |
+| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram) | ✔      | Private/Group chats | Text, Images        |
+| [WeChat Work](https://github.com/Soulter/astrbot_plugin_wecom) | ✔      | Private chats       | Text, Images, Voice |
+| Feishu                                                         | ✔      | Group chats         | Text, Images        |
+| WeChat Open Platform                                           | 🚧      | Planned             | -                   |
+| Discord                                                        | 🚧      | Planned             | -                   |
+| WhatsApp                                                       | 🚧      | Planned             | -                   |
+| Xiaomi Speakers                                                | 🚧      | Planned             | -                   |
+
+## Provider Support Status
+
+| Name                      | Support | Type                   | Notes                                                                 |
+|---------------------------|---------|------------------------|-----------------------------------------------------------------------|
+| OpenAI API                | ✔       | Text Generation        | Supports all OpenAI API-compatible services including DeepSeek, Google Gemini, GLM, Moonshot, Alibaba Cloud Bailian, Silicon Flow, xAI, etc. |
+| Claude API                | ✔       | Text Generation        |                                                                       |
+| Google Gemini API         | ✔       | Text Generation        |                                                                       |
+| Dify                      | ✔       | LLMOps                 |                                                                       |
+| DashScope (Alibaba Cloud) | ✔       | LLMOps                 |                                                                       |
+| Ollama                    | ✔       | Model Loader           | Local deployment for open-source LLMs (DeepSeek, Llama, etc.)         |
+| LM Studio                 | ✔       | Model Loader           | Local deployment for open-source LLMs (DeepSeek, Llama, etc.)         |
+| LLMTuner                  | ✔       | Model Loader           | Local loading of fine-tuned models (e.g. LoRA)                        |
+| OneAPI                    | ✔       | LLM Distribution       |                                                                       |
+| Whisper                   | ✔       | Speech-to-Text         | Supports API and local deployment                                    |
+| SenseVoice                | ✔       | Speech-to-Text         | Local deployment                                                     |
+| OpenAI TTS API            | ✔       | Text-to-Speech         |                                                                       |
+| Fishaudio                 | ✔       | Text-to-Speech         | Project involving GPT-Sovits author                                  |
+
+# 🦌 Roadmap
+
+> [!TIP]
+> Suggestions welcome via Issues <3
+
+- [ ] Ensure feature parity across all platform adapters
+- [ ] Optimize plugin APIs
+- [ ] Add default TTS services (e.g., GPT-Sovits)
+- [ ] Enhance chat features with persistent memory
+- [ ] i18n Planning
+
+## ❤️ Contributions
+
+All Issues/PRs welcome! Simply submit your changes to this project :)
+
+For major features, please discuss via Issues first.
+
+## 🌟 Support
+
+- Star this project!
+- Support via [Afdian](https://afdian.com/a/soulter)
+- WeChat support: [QR Code](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)
+
+## ✨ Demos
+
+> [!NOTE]
+> Code executor file I/O currently tested with Napcat(QQ)/Lagrange(QQ)
+
+<div align='center'>
+
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+
+_✨ Docker-based Sandboxed Code Executor (Beta) ✨_
+
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+
+_✨ Multimodal Input, Web Search, Text-to-Image ✨_
+
+<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
+
+_✨ Natural Language TODO Lists ✨_
+
+<img src="https://github.com/user-attachments/assets/e137a9e1-340a-4bf2-bb2b-771132780735" height=150>
+<img src="https://github.com/user-attachments/assets/480f5e82-cf6a-4955-a869-0d73137aa6e1" height=150>
+
+_✨ Plugin System Showcase ✨_
+
+<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width=600>
+
+_✨ Web Dashboard ✨_
+
+![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
+
+_✨ Built-in Web Chat Interface ✨_
+
+</div>
+
+## ⭐ Star History
+
+> [!TIP] 
+> If this project helps you, please give it a star <3
+
+<div align="center">
+    
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
+
+</div>
+
+## Disclaimer
+
+1. Licensed under `AGPL-v3`.
+2. WeChat integration uses [Gewechat](https://github.com/Devo919/Gewechat). Use at your own risk with non-critical accounts.
+3. Users must comply with local laws and regulations.
+
+<!-- ## ✨ ATRI [Beta]
+
+Available as plugin: [astrbot_plugin_atri](https://github.com/Soulter/astrbot_plugin_atri)
+
+1. Qwen1.5-7B-Chat Lora model fine-tuned with ATRI character data
+2. Long-term memory
+3. Meme understanding & responses
+4. TTS integration
+    -->
+
+
+_私は、高性能ですから!_
+

README_ja.md

@@ -0,0 +1,170 @@
+<p align="center">
+    
+![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+
+</p>
+
+<div align="center">
+
+_✨ 簡単に使えるマルチプラットフォーム LLM チャットボットおよび開発フレームワーク ✨_
+
+<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
+<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
+
+<a href="https://astrbot.app/">ドキュメントを見る</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">問題を報告する</a>
+</div>
+
+AstrBot は、疎結合、非同期、複数のメッセージプラットフォームに対応したデプロイ、使いやすいプラグインシステム、および包括的な大規模言語モデル（LLM）接続機能を備えたチャットボットおよび開発フレームワークです。
+
+## ✨ 主な機能
+
+1. **大規模言語モデルの対話**。OpenAI API、Google Gemini、Llama、Deepseek、ChatGLM など、さまざまな大規模言語モデルをサポートし、Ollama、LLMTuner を介してローカルにデプロイされた大規模モデルをサポートします。多輪対話、人格シナリオ、多モーダル機能を備え、画像理解、音声からテキストへの変換（Whisper）をサポートします。
+2. **複数のメッセージプラットフォームの接続**。QQ（OneBot）、QQ チャンネル、WeChat（Gewechat）、Feishu、Telegram への接続をサポートします。今後、DingTalk、Discord、WhatsApp、Xiaoai 音響をサポートする予定です。レート制限、ホワイトリスト、キーワードフィルタリング、Baidu コンテンツ監査をサポートします。
+3. **エージェント**。一部のエージェント機能をネイティブにサポートし、コードエグゼキューター、自然言語タスク、ウェブ検索などを提供します。[Dify プラットフォーム](https://astrbot.app/others/dify.html)と連携し、Dify スマートアシスタント、ナレッジベース、Dify ワークフローを簡単に接続できます。
+4. **プラグインの拡張**。深く最適化されたプラグインメカニズムを備え、[プラグインの開発](https://astrbot.app/dev/plugin.html)をサポートし、機能を拡張できます。複数のプラグインのインストールをサポートします。
+5. **ビジュアル管理パネル**。設定の視覚的な変更、プラグイン管理、ログの表示などをサポートし、設定の難易度を低減します。WebChat を統合し、パネル上で大規模モデルと対話できます。
+6. **高い安定性と高いモジュール性**。イベントバスとパイプラインに基づくアーキテクチャ設計により、高度にモジュール化され、低結合です。
+
+> [!TIP]
+> 管理パネルのオンラインデモを体験する: [https://demo.astrbot.app/](https://demo.astrbot.app/)
+> 
+> ユーザー名: `astrbot`, パスワード: `astrbot`。LLM が設定されていないため、チャットページで大規模モデルを使用することはできません。（デモのログインパスワードを変更しないでください 😭）
+
+## ✨ 使用方法
+
+#### Docker デプロイ
+
+公式ドキュメント [Docker を使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) を参照してください。
+
+#### Windows ワンクリックインストーラーのデプロイ
+
+コンピュータに Python（>3.10）がインストールされている必要があります。公式ドキュメント [Windows ワンクリックインストーラーを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/windows.html) を参照してください。
+
+#### Replit デプロイ
+
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
+
+#### CasaOS デプロイ
+
+コミュニティが提供するデプロイ方法です。
+
+公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/casaos.html) を参照してください。
+
+#### 手動デプロイ
+
+公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/cli.html) を参照してください。
+
+## ⚡ メッセージプラットフォームのサポート状況
+
+| プラットフォーム    | サポート状況 | 詳細 | メッセージタイプ |
+| -------- | ------- | ------- | ------ |
+| QQ(公式ロボットインターフェース) | ✔    | プライベートチャット、グループチャット、QQ チャンネルプライベートチャット、グループチャット | テキスト、画像 |
+| QQ(OneBot)      | ✔    | プライベートチャット、グループチャット | テキスト、画像、音声 |
+| WeChat(個人アカウント)    | ✔    | WeChat 個人アカウントのプライベートチャット、グループチャット | テキスト、画像、音声 |
+| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram)   | ✔    | プライベートチャット、グループチャット | テキスト、画像 |
+| [WeChat(企業 WeChat)](https://github.com/Soulter/astrbot_plugin_wecom)    | ✔    | プライベートチャット | テキスト、画像、音声 |
+| Feishu   | ✔    | グループチャット | テキスト、画像 |
+| WeChat 対話オープンプラットフォーム | 🚧    | 計画中 | - |
+| Discord   | 🚧    | 計画中 | - |
+| WhatsApp   | 🚧    | 計画中 | - |
+| Xiaoai 音響   | 🚧    | 計画中 | - |
+
+# 🦌 今後のロードマップ
+
+> [!TIP]
+> Issue でさらに多くの提案を歓迎します <3
+
+- [ ] 現在のすべてのプラットフォームアダプターの機能の一貫性を確保し、改善する
+- [ ] プラグインインターフェースの最適化
+- [ ] GPT-Sovits などの TTS サービスをデフォルトでサポート
+- [ ] "チャット強化" 部分を完成させ、永続的な記憶をサポート
+- [ ] i18n の計画
+
+## ❤️ 貢献
+
+Issue や Pull Request を歓迎します！このプロジェクトに変更を加えるだけです :)
+
+新機能の追加については、まず Issue で議論してください。
+
+## 🌟 サポート
+
+- このプロジェクトに Star を付けてください！
+- [愛発電](https://afdian.com/a/soulter)で私をサポートしてください！
+- [WeChat](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)で私をサポートしてください~
+
+## ✨ デモ
+
+> [!NOTE]
+> コードエグゼキューターのファイル入力/出力は現在 Napcat(QQ)、Lagrange(QQ) でのみテストされています
+
+<div align='center'>
+
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+
+_✨ Docker ベースのサンドボックス化されたコードエグゼキューター（ベータテスト中）✨_
+
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+
+_✨ 多モーダル、ウェブ検索、長文の画像変換（設定可能）✨_
+
+<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
+
+_✨ 自然言語タスク ✨_
+
+<img src="https://github.com/user-attachments/assets/e137a9e1-340a-4bf2-bb2b-771132780735" height=150>
+<img src="https://github.com/user-attachments/assets/480f5e82-cf6a-4955-a869-0d73137aa6e1" height=150>
+
+_✨ プラグインシステム - 一部のプラグインの展示 ✨_
+
+<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width="600">
+
+_✨ 管理パネル ✨_
+
+![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
+
+_✨ 内蔵 Web Chat、オンラインでボットと対話 ✨_
+
+</div>
+
+## ⭐ Star History
+
+> [!TIP] 
+> このプロジェクトがあなたの生活や仕事に役立った場合、またはこのプロジェクトの将来の発展に関心がある場合は、プロジェクトに Star を付けてください。これはこのオープンソースプロジェクトを維持するためのモチベーションです <3
+
+<div align="center">
+    
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
+
+</div>
+
+## スポンサー
+
+[<img src="https://api.gitsponsors.com/api/badge/img?id=575865240" height="20">](https://api.gitsponsors.com/api/badge/link?p=XEpbdGxlitw/RbcwiTX93UMzNK/jgDYC8NiSzamIPMoKvG2lBFmyXhSS/b0hFoWlBBMX2L5X5CxTDsUdyvcIEHTOfnkXz47UNOZvMwyt5CzbYpq0SEzsSV1OJF1cCo90qC/ZyYKYOWedal3MhZ3ikw==)
+
+## 免責事項
+
+1. このプロジェクトは `AGPL-v3` オープンソースライセンスの下で保護されています。
+2. WeChat（個人アカウント）のデプロイメントには [Gewechat](https://github.com/Devo919/Gewechat) サービスを利用しています。AstrBot は Gewechat との接続を保証するだけであり、アカウントのリスク管理に関しては、このプロジェクトの著者は一切の責任を負いません。
+3. このプロジェクトを使用する際は、現地の法律および規制を遵守してください。
+
+<!-- ## ✨ ATRI [ベータテスト]
+
+この機能はプラグインとしてロードされます。プラグインリポジトリのアドレス：[astrbot_plugin_atri](https://github.com/Soulter/astrbot_plugin_atri)
+
+1. 《ATRI ~ My Dear Moments》の主人公 ATRI のキャラクターセリフを微調整データセットとして使用した `Qwen1.5-7B-Chat Lora` 微調整モデル。
+2. 長期記憶
+3. ミームの理解と返信
+4. TTS
+    -->
+
+
+_私は、高性能ですから!_
+

astrbot/__init__.py

@@ -0,0 +1,3 @@
+from .core.log import LogManager
+
+logger = LogManager.GetLogger(log_name="astrbot")

astrbot/api/__init__.py

@@ -0,0 +1,7 @@
+from astrbot.core.config.astrbot_config import AstrBotConfig
+from astrbot import logger
+from astrbot.core import html_renderer
+from astrbot.core import sp
+from astrbot.core.star.register import register_llm_tool as llm_tool
+
+__all__ = ["AstrBotConfig", "logger", "html_renderer", "llm_tool", "sp"]

astrbot/api/all.py

@@ -0,0 +1,53 @@
+from astrbot.core.config.astrbot_config import AstrBotConfig
+from astrbot import logger
+from astrbot.core import html_renderer
+from astrbot.core.star.register import register_llm_tool as llm_tool
+
+# event
+from astrbot.core.message.message_event_result import (
+    MessageEventResult,
+    MessageChain,
+    CommandResult,
+    EventResultType,
+)
+from astrbot.core.platform import AstrMessageEvent
+
+# star register
+from astrbot.core.star.register import (
+    register_command as command,
+    register_command_group as command_group,
+    register_event_message_type as event_message_type,
+    register_regex as regex,
+    register_platform_adapter_type as platform_adapter_type,
+)
+from astrbot.core.star.filter.event_message_type import (
+    EventMessageTypeFilter,
+    EventMessageType,
+)
+from astrbot.core.star.filter.platform_adapter_type import (
+    PlatformAdapterTypeFilter,
+    PlatformAdapterType,
+)
+from astrbot.core.star.register import (
+    register_star as register,  # 注册插件（Star）
+)
+from astrbot.core.star import Context, Star
+from astrbot.core.star.config import *
+
+
+# provider
+from astrbot.core.provider import Provider, Personality, ProviderMetaData
+
+# platform
+from astrbot.core.platform import (
+    AstrMessageEvent,
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+)
+
+from astrbot.core.platform.register import register_platform_adapter
+
+from .message_components import *

astrbot/api/event/__init__.py

@@ -0,0 +1,18 @@
+from astrbot.core.message.message_event_result import (
+    MessageEventResult,
+    MessageChain,
+    CommandResult,
+    EventResultType,
+    ResultContentType,
+)
+
+from astrbot.core.platform import AstrMessageEvent
+
+__all__ = [
+    "MessageEventResult",
+    "MessageChain",
+    "CommandResult",
+    "EventResultType",
+    "AstrMessageEvent",
+    "ResultContentType",
+]

astrbot/api/event/filter/__init__.py

@@ -0,0 +1,49 @@
+from astrbot.core.star.register import (
+    register_command as command,
+    register_command_group as command_group,
+    register_event_message_type as event_message_type,
+    register_regex as regex,
+    register_platform_adapter_type as platform_adapter_type,
+    register_permission_type as permission_type,
+    register_custom_filter as custom_filter,
+    register_on_astrbot_loaded as on_astrbot_loaded,
+    register_on_llm_request as on_llm_request,
+    register_on_llm_response as on_llm_response,
+    register_llm_tool as llm_tool,
+    register_on_decorating_result as on_decorating_result,
+    register_after_message_sent as after_message_sent,
+)
+
+from astrbot.core.star.filter.event_message_type import (
+    EventMessageTypeFilter,
+    EventMessageType,
+)
+from astrbot.core.star.filter.platform_adapter_type import (
+    PlatformAdapterTypeFilter,
+    PlatformAdapterType,
+)
+from astrbot.core.star.filter.permission import PermissionTypeFilter, PermissionType
+from astrbot.core.star.filter.custom_filter import CustomFilter
+
+__all__ = [
+    "command",
+    "command_group",
+    "event_message_type",
+    "regex",
+    "platform_adapter_type",
+    "permission_type",
+    "EventMessageTypeFilter",
+    "EventMessageType",
+    "PlatformAdapterTypeFilter",
+    "PlatformAdapterType",
+    "PermissionTypeFilter",
+    "CustomFilter",
+    "custom_filter",
+    "PermissionType",
+    "on_astrbot_loaded",
+    "on_llm_request",
+    "llm_tool",
+    "on_decorating_result",
+    "after_message_sent",
+    "on_llm_response",
+]

astrbot/api/message_components.py

@@ -0,0 +1 @@
+from astrbot.core.message.components import *

astrbot/api/platform/__init__.py

@@ -0,0 +1,23 @@
+from astrbot.core.platform import (
+    AstrMessageEvent,
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+    Group,
+)
+
+from astrbot.core.platform.register import register_platform_adapter
+from astrbot.core.message.components import *
+
+__all__ = [
+    "AstrMessageEvent",
+    "Platform",
+    "AstrBotMessage",
+    "MessageMember",
+    "MessageType",
+    "PlatformMetadata",
+    "register_platform_adapter",
+    "Group",
+]

astrbot/api/provider/__init__.py

@@ -0,0 +1,17 @@
+from astrbot.core.provider import Provider, STTProvider, Personality
+from astrbot.core.provider.entites import (
+    ProviderRequest,
+    ProviderType,
+    ProviderMetaData,
+    LLMResponse,
+)
+
+__all__ = [
+    "Provider",
+    "STTProvider",
+    "Personality",
+    "ProviderRequest",
+    "ProviderType",
+    "ProviderMetaData",
+    "LLMResponse",
+]

astrbot/api/star/__init__.py

@@ -0,0 +1,12 @@
+from astrbot.core.star.register import (
+    register_star as register,  # 注册插件（Star）
+)
+
+from astrbot.core.star import Context, Star
+from astrbot.core.star.config import *
+
+__all__ = [
+    "register",
+    "Context",
+    "Star",
+]

astrbot/api/util/__init__.py

@@ -0,0 +1,7 @@
+from astrbot.core.utils.session_waiter import (
+    SessionWaiter,
+    SessionController,
+    session_waiter,
+)
+
+__all__ = ["SessionWaiter", "SessionController", "session_waiter"]

astrbot/bootstrap.py

@@ -1,132 +0,0 @@
-import asyncio
-import traceback
-import os
-from astrbot.message.handler import MessageHandler
-from astrbot.persist.helper import dbConn
-from dashboard.server import AstrBotDashBoard
-from model.command.manager import CommandManager
-from model.command.internal_handler import InternalCommandHandler
-from model.plugin.manager import PluginManager
-from model.platform.manager import PlatformManager
-from typing import Union
-from type.types import Context
-from type.config import VERSION
-from SparkleLogging.utils.core import LogManager
-from logging import Logger
-from util.cmd_config import AstrBotConfig, try_migrate
-from util.metrics import MetricUploader
-from util.updator.astrbot_updator import AstrBotUpdator
-
-logger: Logger = LogManager.GetLogger(log_name='astrbot')
-
-
-class AstrBotBootstrap():
-    def __init__(self) -> None:
-        self.context = Context()
-        
-        # load configs and ensure the backward compatibility
-        try_migrate()
-        self.config_helper = AstrBotConfig()
-        self.context.config_helper = self.config_helper
-        logger.info("AstrBot v" + VERSION)
-        # apply proxy settings
-        http_proxy = self.context.config_helper.http_proxy
-        https_proxy = self.context.config_helper.https_proxy
-        if http_proxy:
-            os.environ['HTTP_PROXY'] = http_proxy
-        if https_proxy:
-            os.environ['HTTPS_PROXY'] = https_proxy
-        os.environ['NO_PROXY'] = 'https://api.sgroup.qq.com'
-        
-        if http_proxy and https_proxy:
-            logger.info(f"使用代理: {http_proxy}, {https_proxy}")
-        else:
-            logger.info("未使用代理。")
-            
-        self.test_mode = os.environ.get('TEST_MODE', 'off') == 'on'
-    
-    async def run(self):
-        self.command_manager = CommandManager()
-        self.plugin_manager = PluginManager(self.context)
-        self.updator = AstrBotUpdator()
-        self.cmd_handler = InternalCommandHandler(self.command_manager, self.plugin_manager)
-        self.db_conn_helper = dbConn()
-        
-        # load llm provider
-        self.load_llm()
-        
-        self.message_handler = MessageHandler(self.context, self.command_manager, self.db_conn_helper)
-        self.platfrom_manager = PlatformManager(self.context, self.message_handler)
-        self.dashboard = AstrBotDashBoard(self.context, plugin_manager=self.plugin_manager, astrbot_updator=self.updator)
-        self.metrics_uploader = MetricUploader(self.context)
-        
-        self.context.metrics_uploader = self.metrics_uploader
-        self.context.updator = self.updator
-        self.context.plugin_updator = self.plugin_manager.updator
-        self.context.message_handler = self.message_handler
-        self.context.command_manager = self.command_manager
-
-
-        # load dashboard
-        self.dashboard.run_http_server()
-        dashboard_task = asyncio.create_task(self.dashboard.ws_server(), name="dashboard")
-        
-        if self.test_mode:
-            return
-        
-        # load plugins, plugins' commands.
-        self.load_plugins()
-        self.command_manager.register_from_pcb(self.context.plugin_command_bridge)
-        
-        # load platforms
-        platform_tasks = self.load_platform()
-        # load metrics uploader
-        metrics_upload_task = asyncio.create_task(self.metrics_uploader.upload_metrics(), name="metrics-uploader")
-        
-        tasks = [metrics_upload_task, dashboard_task, *platform_tasks, *self.context.ext_tasks]
-        tasks = [self.handle_task(task) for task in tasks]
-        await asyncio.gather(*tasks)
-
-    async def handle_task(self, task: Union[asyncio.Task, asyncio.Future]):
-        while True:
-            try:
-                result = await task
-                return result
-            except asyncio.CancelledError:
-                logger.info(f"{task.get_name()} 任务已取消。")
-                return
-            except Exception as e:
-                logger.error(traceback.format_exc())
-                logger.error(f"{task.get_name()} 任务发生错误。")
-                return
-    
-    def load_llm(self):
-        f = False
-        llms = self.context.config_helper.llm
-        logger.info(f"加载 {len(llms)} 个 LLM Provider...")
-        for llm in llms:
-            if llm.enable:
-                if llm.name == "openai" and llm.key and llm.enable:
-                    self.load_openai(llm)
-                    f = True
-                    logger.info(f"已启用 OpenAI API 支持。")
-                else:
-                    logger.warn(f"未知的 LLM Provider: {llm.name}")
-        if f:
-            from model.command.openai_official_handler import OpenAIOfficialCommandHandler
-            self.openai_command_handler = OpenAIOfficialCommandHandler(self.command_manager)
-            self.openai_command_handler.set_provider(self.context.llms[0].llm_instance)
-
-    def load_openai(self, llm_config):
-        from model.provider.openai_official import ProviderOpenAIOfficial
-        inst = ProviderOpenAIOfficial(llm_config)
-        self.context.register_provider("internal_openai", inst)
-    
-    def load_plugins(self):
-        self.plugin_manager.plugin_reload()
-    
-    def load_platform(self):
-        platforms = self.platfrom_manager.load_platforms()
-        if not platforms:
-            logger.warn("未启用任何消息平台。")
-        return platforms

astrbot/core/__init__.py

@@ -0,0 +1,26 @@
+import os
+import asyncio
+from .log import LogManager, LogBroker  # noqa
+from astrbot.core.utils.t2i.renderer import HtmlRenderer
+from astrbot.core.utils.shared_preferences import SharedPreferences
+from astrbot.core.utils.pip_installer import PipInstaller
+from astrbot.core.db.sqlite import SQLiteDatabase
+from astrbot.core.config.default import DB_PATH
+from astrbot.core.config import AstrBotConfig
+
+os.makedirs("data", exist_ok=True)
+
+astrbot_config = AstrBotConfig()
+t2i_base_url = astrbot_config.get("t2i_endpoint", "https://t2i.soulter.top/text2img")
+html_renderer = HtmlRenderer(t2i_base_url)
+logger = LogManager.GetLogger(log_name="astrbot")
+
+if os.environ.get("TESTING", ""):
+    logger.setLevel("DEBUG")
+
+db_helper = SQLiteDatabase(DB_PATH)
+sp = SharedPreferences()  # 简单的偏好设置存储
+pip_installer = PipInstaller(astrbot_config.get("pip_install_arg", ""))
+web_chat_queue = asyncio.Queue(maxsize=32)
+web_chat_back_queue = asyncio.Queue(maxsize=32)
+WEBUI_SK = "Advanced_System_for_Text_Response_and_Bot_Operations_Tool"

astrbot/core/config/__init__.py

@@ -0,0 +1,9 @@
+from .default import DEFAULT_CONFIG, VERSION, DB_PATH
+from .astrbot_config import *
+
+__all__ = [
+    "DEFAULT_CONFIG",
+    "VERSION",
+    "DB_PATH",
+    "AstrBotConfig",
+]

astrbot/core/config/astrbot_config.py

@@ -0,0 +1,132 @@
+import os
+import json
+import logging
+import enum
+from .default import DEFAULT_CONFIG, DEFAULT_VALUE_MAP
+from typing import Dict
+
+ASTRBOT_CONFIG_PATH = "data/cmd_config.json"
+logger = logging.getLogger("astrbot")
+
+
+class RateLimitStrategy(enum.Enum):
+    STALL = "stall"
+    DISCARD = "discard"
+
+
+class AstrBotConfig(dict):
+    """从配置文件中加载的配置，支持直接通过点号操作符访问根配置项。
+
+    - 初始化时会将传入的 default_config 与配置文件进行比对，如果配置文件中缺少配置项则会自动插入默认值并进行一次写入操作。会递归检查配置项。
+    - 如果配置文件路径对应的文件不存在，则会自动创建并写入默认配置。
+    - 如果传入了 schema，将会通过 schema 解析出 default_config，此时传入的 default_config 会被忽略。
+    """
+
+    def __init__(
+        self,
+        config_path: str = ASTRBOT_CONFIG_PATH,
+        default_config: dict = DEFAULT_CONFIG,
+        schema: dict = None,
+    ):
+        super().__init__()
+
+        # 调用父类的 __setattr__ 方法，防止保存配置时将此属性写入配置文件
+        object.__setattr__(self, "config_path", config_path)
+        object.__setattr__(self, "default_config", default_config)
+        object.__setattr__(self, "schema", schema)
+
+        if schema:
+            default_config = self._config_schema_to_default_config(schema)
+
+        if not self.check_exist():
+            """不存在时载入默认配置"""
+            with open(config_path, "w", encoding="utf-8-sig") as f:
+                json.dump(default_config, f, indent=4, ensure_ascii=False)
+
+        with open(config_path, "r", encoding="utf-8-sig") as f:
+            conf_str = f.read()
+            if conf_str.startswith("/ufeff"):  # remove BOM
+                conf_str = conf_str.encode("utf8")[3:].decode("utf8")
+            conf = json.loads(conf_str)
+
+        # 检查配置完整性，并插入
+        has_new = self.check_config_integrity(default_config, conf)
+        self.update(conf)
+        if has_new:
+            self.save_config()
+
+        self.update(conf)
+
+    def _config_schema_to_default_config(self, schema: dict) -> dict:
+        """将 Schema 转换成 Config"""
+        conf = {}
+
+        def _parse_schema(schema: dict, conf: dict):
+            for k, v in schema.items():
+                if v["type"] not in DEFAULT_VALUE_MAP:
+                    raise TypeError(
+                        f"不受支持的配置类型 {v['type']}。支持的类型有：{DEFAULT_VALUE_MAP.keys()}"
+                    )
+                if "default" in v:
+                    default = v["default"]
+                else:
+                    default = DEFAULT_VALUE_MAP[v["type"]]
+
+                if v["type"] == "object":
+                    conf[k] = {}
+                    _parse_schema(v["items"], conf[k])
+                else:
+                    conf[k] = default
+
+        _parse_schema(schema, conf)
+
+        return conf
+
+    def check_config_integrity(self, refer_conf: Dict, conf: Dict, path=""):
+        """检查配置完整性，如果有新的配置项则返回 True"""
+        has_new = False
+        for key, value in refer_conf.items():
+            if key not in conf:
+                # logger.info(f"检查到配置项 {path + "." + key if path else key} 不存在，已插入默认值 {value}")
+                path_ = path + "." + key if path else key
+                logger.info(f"检查到配置项 {path_} 不存在，已插入默认值 {value}")
+                conf[key] = value
+                has_new = True
+            else:
+                if conf[key] is None:
+                    conf[key] = value
+                    has_new = True
+                elif isinstance(value, dict):
+                    has_new |= self.check_config_integrity(
+                        value, conf[key], path + "." + key if path else key
+                    )
+        return has_new
+
+    def save_config(self, replace_config: Dict = None):
+        """将配置写入文件
+
+        如果传入 replace_config，则将配置替换为 replace_config
+        """
+        if replace_config:
+            self.update(replace_config)
+        with open(self.config_path, "w", encoding="utf-8-sig") as f:
+            json.dump(self, f, indent=2, ensure_ascii=False)
+
+    def __getattr__(self, item):
+        try:
+            return self[item]
+        except KeyError:
+            return None
+
+    def __delattr__(self, key):
+        try:
+            del self[key]
+            self.save_config()
+        except KeyError:
+            raise AttributeError(f"没有找到 Key: '{key}'")
+
+    def __setattr__(self, key, value):
+        self[key] = value
+
+    def check_exist(self) -> bool:
+        return os.path.exists(self.config_path)

astrbot/core/conversation_mgr.py

@@ -0,0 +1,121 @@
+import uuid
+import json
+import asyncio
+from astrbot.core import sp
+from typing import Dict, List
+from astrbot.core.db import BaseDatabase
+from astrbot.core.db.po import Conversation
+
+
+class ConversationManager:
+    """负责管理会话与 LLM 的对话，某个会话当前正在用哪个对话。"""
+
+    def __init__(self, db_helper: BaseDatabase):
+        self.session_conversations: Dict[str, str] = sp.get("session_conversation", {})
+        self.db = db_helper
+        self.save_interval = 60  # 每 60 秒保存一次
+        self._start_periodic_save()
+
+    def _start_periodic_save(self):
+        asyncio.create_task(self._periodic_save())
+
+    async def _periodic_save(self):
+        while True:
+            await asyncio.sleep(self.save_interval)
+            self._save_to_storage()
+
+    def _save_to_storage(self):
+        sp.put("session_conversation", self.session_conversations)
+
+    async def new_conversation(self, unified_msg_origin: str) -> str:
+        """新建对话，并将当前会话的对话转移到新对话"""
+        conversation_id = str(uuid.uuid4())
+        self.db.new_conversation(user_id=unified_msg_origin, cid=conversation_id)
+        self.session_conversations[unified_msg_origin] = conversation_id
+        sp.put("session_conversation", self.session_conversations)
+        return conversation_id
+
+    async def switch_conversation(self, unified_msg_origin: str, conversation_id: str):
+        """切换会话的对话"""
+        self.session_conversations[unified_msg_origin] = conversation_id
+        sp.put("session_conversation", self.session_conversations)
+
+    async def delete_conversation(
+        self, unified_msg_origin: str, conversation_id: str = None
+    ):
+        """删除会话的对话，当 conversation_id 为 None 时删除会话当前的对话"""
+        conversation_id = self.session_conversations.get(unified_msg_origin)
+        if conversation_id:
+            self.db.delete_conversation(user_id=unified_msg_origin, cid=conversation_id)
+            del self.session_conversations[unified_msg_origin]
+            sp.put("session_conversation", self.session_conversations)
+
+    async def get_curr_conversation_id(self, unified_msg_origin: str) -> str:
+        """获取会话当前的对话 ID"""
+        return self.session_conversations.get(unified_msg_origin, None)
+
+    async def get_conversation(
+        self, unified_msg_origin: str, conversation_id: str
+    ) -> Conversation:
+        """获取会话的对话"""
+        return self.db.get_conversation_by_user_id(unified_msg_origin, conversation_id)
+
+    async def get_conversations(self, unified_msg_origin: str) -> List[Conversation]:
+        """获取会话的所有对话"""
+        return self.db.get_conversations(unified_msg_origin)
+
+    async def update_conversation(
+        self, unified_msg_origin: str, conversation_id: str, history: List[Dict]
+    ):
+        """更新会话的对话"""
+        if conversation_id:
+            self.db.update_conversation(
+                user_id=unified_msg_origin,
+                cid=conversation_id,
+                history=json.dumps(history),
+            )
+
+    async def update_conversation_title(self, unified_msg_origin: str, title: str):
+        """更新会话的对话标题"""
+        conversation_id = self.session_conversations.get(unified_msg_origin)
+        if conversation_id:
+            self.db.update_conversation_title(
+                user_id=unified_msg_origin, cid=conversation_id, title=title
+            )
+
+    async def update_conversation_persona_id(
+        self, unified_msg_origin: str, persona_id: str
+    ):
+        """更新会话的对话 Persona ID"""
+        conversation_id = self.session_conversations.get(unified_msg_origin)
+        if conversation_id:
+            self.db.update_conversation_persona_id(
+                user_id=unified_msg_origin, cid=conversation_id, persona_id=persona_id
+            )
+
+    async def get_human_readable_context(
+        self, unified_msg_origin, conversation_id, page=1, page_size=10
+    ):
+        conversation = await self.get_conversation(unified_msg_origin, conversation_id)
+        history = json.loads(conversation.history)
+
+        contexts = []
+        temp_contexts = []
+        for record in history:
+            if record["role"] == "user":
+                temp_contexts.append(f"User: {record['content']}")
+            elif record["role"] == "assistant":
+                temp_contexts.append(f"Assistant: {record['content']}")
+                contexts.insert(0, temp_contexts)
+                temp_contexts = []
+
+        # 展平 contexts 列表
+        contexts = [item for sublist in contexts for item in sublist]
+
+        # 计算分页
+        paged_contexts = contexts[(page - 1) * page_size : page * page_size]
+        total_pages = len(contexts) // page_size
+        if len(contexts) % page_size != 0:
+            total_pages += 1
+
+        return paged_contexts, total_pages

astrbot/core/core_lifecycle.py

@@ -0,0 +1,163 @@
+import traceback
+import asyncio
+import time
+import threading
+import os
+from .event_bus import EventBus
+from . import astrbot_config
+from asyncio import Queue
+from typing import List
+from astrbot.core.pipeline.scheduler import PipelineScheduler, PipelineContext
+from astrbot.core.star import PluginManager
+from astrbot.core.platform.manager import PlatformManager
+from astrbot.core.star.context import Context
+from astrbot.core.provider.manager import ProviderManager
+from astrbot.core import LogBroker
+from astrbot.core.db import BaseDatabase
+from astrbot.core.updator import AstrBotUpdator
+from astrbot.core import logger
+from astrbot.core.config.default import VERSION
+from astrbot.core.rag.knowledge_db_mgr import KnowledgeDBManager
+from astrbot.core.conversation_mgr import ConversationManager
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star_handler import star_map
+
+
+class AstrBotCoreLifecycle:
+    def __init__(self, log_broker: LogBroker, db: BaseDatabase):
+        self.log_broker = log_broker
+        self.astrbot_config = astrbot_config
+        self.db = db
+
+        os.environ["https_proxy"] = self.astrbot_config["http_proxy"]
+        os.environ["http_proxy"] = self.astrbot_config["http_proxy"]
+        os.environ["no_proxy"] = "localhost"
+
+    async def initialize(self):
+        logger.info("AstrBot v" + VERSION)
+        if os.environ.get("TESTING", ""):
+            logger.setLevel("DEBUG")
+        else:
+            logger.setLevel(self.astrbot_config["log_level"])
+        self.event_queue = Queue()
+
+        self.provider_manager = ProviderManager(self.astrbot_config, self.db)
+
+        self.platform_manager = PlatformManager(self.astrbot_config, self.event_queue)
+
+        self.knowledge_db_manager = KnowledgeDBManager(self.astrbot_config)
+
+        self.conversation_manager = ConversationManager(self.db)
+
+        self.star_context = Context(
+            self.event_queue,
+            self.astrbot_config,
+            self.db,
+            self.provider_manager,
+            self.platform_manager,
+            self.conversation_manager,
+            self.knowledge_db_manager,
+        )
+        self.plugin_manager = PluginManager(self.star_context, self.astrbot_config)
+
+        await self.plugin_manager.reload()
+        """扫描、注册插件、实例化插件类"""
+
+        await self.provider_manager.initialize()
+        """根据配置实例化各个 Provider"""
+
+        self.pipeline_scheduler = PipelineScheduler(
+            PipelineContext(self.astrbot_config, self.plugin_manager)
+        )
+        await self.pipeline_scheduler.initialize()
+        """初始化消息事件流水线调度器"""
+
+        self.astrbot_updator = AstrBotUpdator(self.astrbot_config["plugin_repo_mirror"])
+        self.event_bus = EventBus(self.event_queue, self.pipeline_scheduler)
+        self.start_time = int(time.time())
+        self.curr_tasks: List[asyncio.Task] = []
+
+        await self.platform_manager.initialize()
+        """根据配置实例化各个平台适配器"""
+
+        self.dashboard_shutdown_event = asyncio.Event()
+
+    def _load(self):
+        event_bus_task = asyncio.create_task(
+            self.event_bus.dispatch(), name="event_bus"
+        )
+
+        extra_tasks = []
+        for task in self.star_context._register_tasks:
+            extra_tasks.append(asyncio.create_task(task, name=task.__name__))
+
+        tasks_ = [event_bus_task, *extra_tasks]
+        for task in tasks_:
+            self.curr_tasks.append(
+                asyncio.create_task(self._task_wrapper(task), name=task.get_name())
+            )
+
+        self.start_time = int(time.time())
+
+    async def _task_wrapper(self, task: asyncio.Task):
+        try:
+            await task
+        except asyncio.CancelledError:
+            pass
+        except Exception as e:
+            logger.error(f"------- 任务 {task.get_name()} 发生错误: {e}")
+            for line in traceback.format_exc().split("\n"):
+                logger.error(f"|    {line}")
+            logger.error("-------")
+
+    async def start(self):
+        self._load()
+        logger.info("AstrBot 启动完成。")
+
+        # 执行启动完成事件钩子
+        handlers = star_handlers_registry.get_handlers_by_event_type(
+            EventType.OnAstrBotLoadedEvent
+        )
+        for handler in handlers:
+            try:
+                logger.info(
+                    f"hook(on_astrbot_loaded) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+                )
+                await handler.handler()
+            except BaseException:
+                logger.error(traceback.format_exc())
+
+        await asyncio.gather(*self.curr_tasks, return_exceptions=True)
+
+    async def stop(self):
+        for task in self.curr_tasks:
+            task.cancel()
+
+        await self.provider_manager.terminate()
+        await self.platform_manager.terminate()
+        self.dashboard_shutdown_event.set()
+
+        for task in self.curr_tasks:
+            try:
+                await task
+            except asyncio.CancelledError:
+                pass
+            except Exception as e:
+                logger.error(f"任务 {task.get_name()} 发生错误: {e}")
+
+    async def restart(self):
+        await self.provider_manager.terminate()
+        await self.platform_manager.terminate()
+        self.dashboard_shutdown_event.set()
+        threading.Thread(
+            target=self.astrbot_updator._reboot, name="restart", daemon=True
+        ).start()
+
+    def load_platform(self) -> List[asyncio.Task]:
+        tasks = []
+        platform_insts = self.platform_manager.get_insts()
+        for platform_inst in platform_insts:
+            tasks.append(
+                asyncio.create_task(platform_inst.run(), name=platform_inst.meta().name)
+            )
+        return tasks

astrbot/core/db/__init__.py

@@ -0,0 +1,161 @@
+import abc
+from dataclasses import dataclass
+from typing import List, Dict, Any, Tuple
+from astrbot.core.db.po import Stats, LLMHistory, ATRIVision, Conversation
+
+
+@dataclass
+class BaseDatabase(abc.ABC):
+    """
+    数据库基类
+    """
+
+    def __init__(self) -> None:
+        pass
+
+    def insert_base_metrics(self, metrics: dict):
+        """插入基础指标数据"""
+        self.insert_platform_metrics(metrics["platform_stats"])
+        self.insert_plugin_metrics(metrics["plugin_stats"])
+        self.insert_command_metrics(metrics["command_stats"])
+        self.insert_llm_metrics(metrics["llm_stats"])
+
+    @abc.abstractmethod
+    def insert_platform_metrics(self, metrics: dict):
+        """插入平台指标数据"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def insert_plugin_metrics(self, metrics: dict):
+        """插入插件指标数据"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def insert_command_metrics(self, metrics: dict):
+        """插入指令指标数据"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def insert_llm_metrics(self, metrics: dict):
+        """插入 LLM 指标数据"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def update_llm_history(self, session_id: str, content: str, provider_type: str):
+        """更新 LLM 历史记录。当不存在 session_id 时插入"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_llm_history(
+        self, session_id: str = None, provider_type: str = None
+    ) -> List[LLMHistory]:
+        """获取 LLM 历史记录, 如果 session_id 为 None, 返回所有"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_base_stats(self, offset_sec: int = 86400) -> Stats:
+        """获取基础统计数据"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_total_message_count(self) -> int:
+        """获取总消息数"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_grouped_base_stats(self, offset_sec: int = 86400) -> Stats:
+        """获取基础统计数据(合并)"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def insert_atri_vision_data(self, vision_data: ATRIVision):
+        """插入 ATRI 视觉数据"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_atri_vision_data(self) -> List[ATRIVision]:
+        """获取 ATRI 视觉数据"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_atri_vision_data_by_path_or_id(
+        self, url_or_path: str, id: str
+    ) -> ATRIVision:
+        """通过 url 或 path 获取 ATRI 视觉数据"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_conversation_by_user_id(self, user_id: str, cid: str) -> Conversation:
+        """通过 user_id 和 cid 获取 Conversation"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def new_conversation(self, user_id: str, cid: str):
+        """新建 Conversation"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_conversations(self, user_id: str) -> List[Conversation]:
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def update_conversation(self, user_id: str, cid: str, history: str):
+        """更新 Conversation"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def delete_conversation(self, user_id: str, cid: str):
+        """删除 Conversation"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def update_conversation_title(self, user_id: str, cid: str, title: str):
+        """更新 Conversation 标题"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def update_conversation_persona_id(self, user_id: str, cid: str, persona_id: str):
+        """更新 Conversation Persona ID"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_all_conversations(
+        self, page: int = 1, page_size: int = 20
+    ) -> Tuple[List[Dict[str, Any]], int]:
+        """获取所有对话，支持分页
+
+        Args:
+            page: 页码，从1开始
+            page_size: 每页数量
+
+        Returns:
+            Tuple[List[Dict[str, Any]], int]: 返回一个元组，包含对话列表和总对话数
+        """
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    def get_filtered_conversations(
+        self,
+        page: int = 1,
+        page_size: int = 20,
+        platforms: List[str] = None,
+        message_types: List[str] = None,
+        search_query: str = None,
+        exclude_ids: List[str] = None,
+        exclude_platforms: List[str] = None,
+    ) -> Tuple[List[Dict[str, Any]], int]:
+        """获取筛选后的对话列表
+
+        Args:
+            page: 页码
+            page_size: 每页数量
+            platforms: 平台筛选列表
+            message_types: 消息类型筛选列表
+            search_query: 搜索关键词
+            exclude_ids: 排除的用户ID列表
+            exclude_platforms: 排除的平台列表
+
+        Returns:
+            Tuple[List[Dict[str, Any]], int]: 返回一个元组，包含对话列表和总对话数
+        """
+        raise NotImplementedError

astrbot/core/db/po.py

@@ -0,0 +1,81 @@
+"""指标数据"""
+
+from dataclasses import dataclass, field
+from typing import List
+
+
+@dataclass
+class Platform:
+    name: str
+    count: int
+    timestamp: int
+
+
+@dataclass
+class Provider:
+    name: str
+    count: int
+    timestamp: int
+
+
+@dataclass
+class Plugin:
+    name: str
+    count: int
+    timestamp: int
+
+
+@dataclass
+class Command:
+    name: str
+    count: int
+    timestamp: int
+
+
+@dataclass
+class Stats:
+    platform: List[Platform] = field(default_factory=list)
+    command: List[Command] = field(default_factory=list)
+    llm: List[Provider] = field(default_factory=list)
+
+
+@dataclass
+class LLMHistory:
+    """LLM 聊天时持久化的信息"""
+
+    provider_type: str
+    session_id: str
+    content: str
+
+
+@dataclass
+class ATRIVision:
+    """Deprecated"""
+
+    id: str
+    url_or_path: str
+    caption: str
+    is_meme: bool
+    keywords: List[str]
+    platform_name: str
+    session_id: str
+    sender_nickname: str
+    timestamp: int = -1
+
+
+@dataclass
+class Conversation:
+    """LLM 对话存储
+
+    对于网页聊天，history 存储了包括指令、回复、图片等在内的所有消息。
+    对于其他平台的聊天，不存储非 LLM 的回复（因为考虑到已经存储在各自的平台上）。
+    """
+
+    user_id: str
+    cid: str
+    history: str = ""
+    """字符串格式的列表。"""
+    created_at: int = 0
+    updated_at: int = 0
+    title: str = ""
+    persona_id: str = ""

astrbot/core/db/sqlite.py

@@ -0,0 +1,565 @@
+import sqlite3
+import os
+import time
+from astrbot.core.db.po import Platform, Stats, LLMHistory, ATRIVision, Conversation
+from . import BaseDatabase
+from typing import Tuple, List, Dict, Any
+
+
+class SQLiteDatabase(BaseDatabase):
+    def __init__(self, db_path: str) -> None:
+        super().__init__()
+        self.db_path = db_path
+
+        with open(os.path.dirname(__file__) + "/sqlite_init.sql", "r") as f:
+            sql = f.read()
+
+        # 初始化数据库
+        self.conn = self._get_conn(self.db_path)
+        c = self.conn.cursor()
+        c.executescript(sql)
+        self.conn.commit()
+
+        # 检查 webchat_conversation 的 title 字段是否存在
+        c.execute(
+            """
+            PRAGMA table_info(webchat_conversation)
+            """
+        )
+        res = c.fetchall()
+        has_title = False
+        has_persona_id = False
+        for row in res:
+            if row[1] == "title":
+                has_title = True
+            if row[1] == "persona_id":
+                has_persona_id = True
+        if not has_title:
+            c.execute(
+                """
+                ALTER TABLE webchat_conversation ADD COLUMN title TEXT;
+                """
+            )
+            self.conn.commit()
+        if not has_persona_id:
+            c.execute(
+                """
+                ALTER TABLE webchat_conversation ADD COLUMN persona_id TEXT;
+                """
+            )
+            self.conn.commit()
+
+        c.close()
+
+    def _get_conn(self, db_path: str) -> sqlite3.Connection:
+        conn = sqlite3.connect(self.db_path)
+        conn.text_factory = str
+        return conn
+
+    def _exec_sql(self, sql: str, params: Tuple = None):
+        conn = self.conn
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            conn = self._get_conn(self.db_path)
+            c = conn.cursor()
+
+        if params:
+            c.execute(sql, params)
+            c.close()
+        else:
+            c.execute(sql)
+            c.close()
+
+        conn.commit()
+
+    def insert_platform_metrics(self, metrics: dict):
+        for k, v in metrics.items():
+            self._exec_sql(
+                """
+                INSERT INTO platform(name, count, timestamp) VALUES (?, ?, ?)
+                """,
+                (k, v, int(time.time())),
+            )
+
+    def insert_plugin_metrics(self, metrics: dict):
+        pass
+
+    def insert_command_metrics(self, metrics: dict):
+        for k, v in metrics.items():
+            self._exec_sql(
+                """
+                INSERT INTO command(name, count, timestamp) VALUES (?, ?, ?)
+                """,
+                (k, v, int(time.time())),
+            )
+
+    def insert_llm_metrics(self, metrics: dict):
+        for k, v in metrics.items():
+            self._exec_sql(
+                """
+                INSERT INTO llm(name, count, timestamp) VALUES (?, ?, ?)
+                """,
+                (k, v, int(time.time())),
+            )
+
+    def update_llm_history(self, session_id: str, content: str, provider_type: str):
+        res = self.get_llm_history(session_id, provider_type)
+        if res:
+            self._exec_sql(
+                """
+                UPDATE llm_history SET content = ? WHERE session_id = ? AND provider_type = ?
+                """,
+                (content, session_id, provider_type),
+            )
+        else:
+            self._exec_sql(
+                """
+                INSERT INTO llm_history(provider_type, session_id, content) VALUES (?, ?, ?)
+                """,
+                (provider_type, session_id, content),
+            )
+
+    def get_llm_history(
+        self, session_id: str = None, provider_type: str = None
+    ) -> Tuple:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        conditions = []
+        params = []
+
+        if session_id:
+            conditions.append("session_id = ?")
+            params.append(session_id)
+
+        if provider_type:
+            conditions.append("provider_type = ?")
+            params.append(provider_type)
+
+        sql = "SELECT * FROM llm_history"
+        if conditions:
+            sql += " WHERE " + " AND ".join(conditions)
+
+        c.execute(sql, params)
+
+        res = c.fetchall()
+        histories = []
+        for row in res:
+            histories.append(LLMHistory(*row))
+        c.close()
+        return histories
+
+    def get_base_stats(self, offset_sec: int = 86400) -> Stats:
+        """获取 offset_sec 秒前到现在的基础统计数据"""
+        where_clause = f" WHERE timestamp >= {int(time.time()) - offset_sec}"
+
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT * FROM platform
+            """
+            + where_clause
+        )
+
+        platform = []
+        for row in c.fetchall():
+            platform.append(Platform(*row))
+
+        # c.execute(
+        #     '''
+        #     SELECT * FROM command
+        #     ''' + where_clause
+        # )
+
+        # command = []
+        # for row in c.fetchall():
+        #     command.append(Command(*row))
+
+        # c.execute(
+        #     '''
+        #     SELECT * FROM llm
+        #     ''' + where_clause
+        # )
+
+        # llm = []
+        # for row in c.fetchall():
+        #     llm.append(Provider(*row))
+
+        c.close()
+
+        return Stats(platform, [], [])
+
+    def get_total_message_count(self) -> int:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT SUM(count) FROM platform
+            """
+        )
+        res = c.fetchone()
+        c.close()
+        return res[0]
+
+    def get_grouped_base_stats(self, offset_sec: int = 86400) -> Stats:
+        """获取 offset_sec 秒前到现在的基础统计数据(合并)"""
+        where_clause = f" WHERE timestamp >= {int(time.time()) - offset_sec}"
+
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT name, SUM(count), timestamp FROM platform
+            """
+            + where_clause
+            + " GROUP BY name"
+        )
+
+        platform = []
+        for row in c.fetchall():
+            platform.append(Platform(*row))
+
+        c.close()
+
+        return Stats(platform, [], [])
+
+    def get_conversation_by_user_id(self, user_id: str, cid: str) -> Conversation:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT * FROM webchat_conversation WHERE user_id = ? AND cid = ?
+            """,
+            (user_id, cid),
+        )
+
+        res = c.fetchone()
+        c.close()
+
+        if not res:
+            return
+
+        return Conversation(*res)
+
+    def new_conversation(self, user_id: str, cid: str):
+        history = "[]"
+        updated_at = int(time.time())
+        created_at = updated_at
+        self._exec_sql(
+            """
+            INSERT INTO webchat_conversation(user_id, cid, history, updated_at, created_at) VALUES (?, ?, ?, ?, ?)
+            """,
+            (user_id, cid, history, updated_at, created_at),
+        )
+
+    def get_conversations(self, user_id: str) -> Tuple:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT cid, created_at, updated_at, title, persona_id FROM webchat_conversation WHERE user_id = ? ORDER BY updated_at DESC
+            """,
+            (user_id,),
+        )
+
+        res = c.fetchall()
+        c.close()
+        conversations = []
+        for row in res:
+            cid = row[0]
+            created_at = row[1]
+            updated_at = row[2]
+            title = row[3]
+            persona_id = row[4]
+            conversations.append(
+                Conversation("", cid, "[]", created_at, updated_at, title, persona_id)
+            )
+        return conversations
+
+    def update_conversation(self, user_id: str, cid: str, history: str):
+        """更新对话，并且同时更新时间"""
+        updated_at = int(time.time())
+        self._exec_sql(
+            """
+            UPDATE webchat_conversation SET history = ?, updated_at = ? WHERE user_id = ? AND cid = ?
+            """,
+            (history, updated_at, user_id, cid),
+        )
+
+    def update_conversation_title(self, user_id: str, cid: str, title: str):
+        self._exec_sql(
+            """
+            UPDATE webchat_conversation SET title = ? WHERE user_id = ? AND cid = ?
+            """,
+            (title, user_id, cid),
+        )
+
+    def update_conversation_persona_id(self, user_id: str, cid: str, persona_id: str):
+        self._exec_sql(
+            """
+            UPDATE webchat_conversation SET persona_id = ? WHERE user_id = ? AND cid = ?
+            """,
+            (persona_id, user_id, cid),
+        )
+
+    def delete_conversation(self, user_id: str, cid: str):
+        self._exec_sql(
+            """
+            DELETE FROM webchat_conversation WHERE user_id = ? AND cid = ?
+            """,
+            (user_id, cid),
+        )
+
+    def insert_atri_vision_data(self, vision: ATRIVision):
+        ts = int(time.time())
+        keywords = ",".join(vision.keywords)
+        self._exec_sql(
+            """
+            INSERT INTO atri_vision(id, url_or_path, caption, is_meme, keywords, platform_name, session_id, sender_nickname, timestamp) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
+            """,
+            (
+                vision.id,
+                vision.url_or_path,
+                vision.caption,
+                vision.is_meme,
+                keywords,
+                vision.platform_name,
+                vision.session_id,
+                vision.sender_nickname,
+                ts,
+            ),
+        )
+
+    def get_atri_vision_data(self) -> Tuple:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT * FROM atri_vision
+            """
+        )
+
+        res = c.fetchall()
+        visions = []
+        for row in res:
+            visions.append(ATRIVision(*row))
+        c.close()
+        return visions
+
+    def get_atri_vision_data_by_path_or_id(
+        self, url_or_path: str, id: str
+    ) -> ATRIVision:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT * FROM atri_vision WHERE url_or_path = ? OR id = ?
+            """,
+            (url_or_path, id),
+        )
+
+        res = c.fetchone()
+        c.close()
+        if res:
+            return ATRIVision(*res)
+        return None
+
+    def get_all_conversations(
+        self, page: int = 1, page_size: int = 20
+    ) -> Tuple[List[Dict[str, Any]], int]:
+        """获取所有对话，支持分页，按更新时间降序排序"""
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        try:
+            # 获取总记录数
+            c.execute("""
+                SELECT COUNT(*) FROM webchat_conversation
+            """)
+            total_count = c.fetchone()[0]
+
+            # 计算偏移量
+            offset = (page - 1) * page_size
+
+            # 获取分页数据，按更新时间降序排序
+            c.execute(
+                """
+                SELECT user_id, cid, created_at, updated_at, title, persona_id
+                FROM webchat_conversation
+                ORDER BY updated_at DESC
+                LIMIT ? OFFSET ?
+            """,
+                (page_size, offset),
+            )
+
+            rows = c.fetchall()
+
+            conversations = []
+
+            for row in rows:
+                user_id, cid, created_at, updated_at, title, persona_id = row
+                # 确保 cid 是字符串类型且至少有8个字符，否则使用一个默认值
+                safe_cid = str(cid) if cid else "unknown"
+                display_cid = safe_cid[:8] if len(safe_cid) >= 8 else safe_cid
+
+                conversations.append(
+                    {
+                        "user_id": user_id or "",
+                        "cid": safe_cid,
+                        "title": title or f"对话 {display_cid}",
+                        "persona_id": persona_id or "",
+                        "created_at": created_at or 0,
+                        "updated_at": updated_at or 0,
+                    }
+                )
+
+            return conversations, total_count
+
+        except Exception as _:
+            # 返回空列表和0，确保即使出错也有有效的返回值
+            return [], 0
+        finally:
+            c.close()
+
+    def get_filtered_conversations(
+        self,
+        page: int = 1,
+        page_size: int = 20,
+        platforms: List[str] = None,
+        message_types: List[str] = None,
+        search_query: str = None,
+        exclude_ids: List[str] = None,
+        exclude_platforms: List[str] = None,
+    ) -> Tuple[List[Dict[str, Any]], int]:
+        """获取筛选后的对话列表"""
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        try:
+            # 构建查询条件
+            where_clauses = []
+            params = []
+
+            # 平台筛选
+            if platforms and len(platforms) > 0:
+                platform_conditions = []
+                for platform in platforms:
+                    platform_conditions.append("user_id LIKE ?")
+                    params.append(f"{platform}:%")
+
+                if platform_conditions:
+                    where_clauses.append(f"({' OR '.join(platform_conditions)})")
+
+            # 消息类型筛选
+            if message_types and len(message_types) > 0:
+                message_type_conditions = []
+                for msg_type in message_types:
+                    message_type_conditions.append("user_id LIKE ?")
+                    params.append(f"%:{msg_type}:%")
+
+                if message_type_conditions:
+                    where_clauses.append(f"({' OR '.join(message_type_conditions)})")
+
+            # 搜索关键词
+            if search_query:
+                search_query = search_query.encode("unicode_escape").decode("utf-8")
+                where_clauses.append(
+                    "(title LIKE ? OR user_id LIKE ? OR cid LIKE ? OR history LIKE ?)"
+                )
+                search_param = f"%{search_query}%"
+                params.extend([search_param, search_param, search_param, search_param])
+
+            # 排除特定用户ID
+            if exclude_ids and len(exclude_ids) > 0:
+                for exclude_id in exclude_ids:
+                    where_clauses.append("user_id NOT LIKE ?")
+                    params.append(f"{exclude_id}%")
+
+            # 排除特定平台
+            if exclude_platforms and len(exclude_platforms) > 0:
+                for exclude_platform in exclude_platforms:
+                    where_clauses.append("user_id NOT LIKE ?")
+                    params.append(f"{exclude_platform}:%")
+
+            # 构建完整的 WHERE 子句
+            where_sql = " WHERE " + " AND ".join(where_clauses) if where_clauses else ""
+
+            # 构建计数查询
+            count_sql = f"SELECT COUNT(*) FROM webchat_conversation{where_sql}"
+
+            # 获取总记录数
+            c.execute(count_sql, params)
+            total_count = c.fetchone()[0]
+
+            # 计算偏移量
+            offset = (page - 1) * page_size
+
+            # 构建分页数据查询
+            data_sql = f"""
+                SELECT user_id, cid, created_at, updated_at, title, persona_id
+                FROM webchat_conversation
+                {where_sql}
+                ORDER BY updated_at DESC
+                LIMIT ? OFFSET ?
+            """
+            query_params = params + [page_size, offset]
+
+            # 获取分页数据
+            c.execute(data_sql, query_params)
+            rows = c.fetchall()
+
+            conversations = []
+
+            for row in rows:
+                user_id, cid, created_at, updated_at, title, persona_id = row
+                # 确保 cid 是字符串类型，否则使用一个默认值
+                safe_cid = str(cid) if cid else "unknown"
+                display_cid = safe_cid[:8] if len(safe_cid) >= 8 else safe_cid
+
+                conversations.append(
+                    {
+                        "user_id": user_id or "",
+                        "cid": safe_cid,
+                        "title": title or f"对话 {display_cid}",
+                        "persona_id": persona_id or "",
+                        "created_at": created_at or 0,
+                        "updated_at": updated_at or 0,
+                    }
+                )
+
+            return conversations, total_count
+
+        except Exception as _:
+            # 返回空列表和0，确保即使出错也有有效的返回值
+            return [], 0
+        finally:
+            c.close()

astrbot/core/db/sqlite_init.sql

@@ -0,0 +1,50 @@
+CREATE TABLE IF NOT EXISTS platform(
+    name VARCHAR(32),
+    count INTEGER,
+    timestamp INTEGER
+);
+CREATE TABLE IF NOT EXISTS llm(
+    name VARCHAR(32),
+    count INTEGER,
+    timestamp INTEGER
+);
+CREATE TABLE IF NOT EXISTS plugin(
+    name VARCHAR(32),
+    count INTEGER,
+    timestamp INTEGER
+);
+CREATE TABLE IF NOT EXISTS command(
+    name VARCHAR(32),
+    count INTEGER,
+    timestamp INTEGER
+);
+CREATE TABLE IF NOT EXISTS llm_history(
+    provider_type VARCHAR(32),
+    session_id VARCHAR(32),
+    content TEXT
+);
+
+-- ATRI
+CREATE TABLE IF NOT EXISTS atri_vision(
+    id TEXT,
+    url_or_path TEXT,
+    caption TEXT,
+    is_meme BOOLEAN,
+    keywords TEXT,
+    platform_name VARCHAR(32),
+    session_id VARCHAR(32),
+    sender_nickname VARCHAR(32),
+    timestamp INTEGER
+);
+
+CREATE TABLE IF NOT EXISTS webchat_conversation(
+    user_id TEXT, -- 会话 id
+    cid TEXT, -- 对话 id
+    history TEXT,
+    created_at INTEGER,
+    updated_at INTEGER,
+    title TEXT,
+    persona_id TEXT
+);
+
+PRAGMA encoding = 'UTF-8';

astrbot/core/event_bus.py

@@ -0,0 +1,27 @@
+import asyncio
+from asyncio import Queue
+from astrbot.core.pipeline.scheduler import PipelineScheduler
+from astrbot.core import logger
+from .platform import AstrMessageEvent
+
+
+class EventBus:
+    def __init__(self, event_queue: Queue, pipeline_scheduler: PipelineScheduler):
+        self.event_queue = event_queue
+        self.pipeline_scheduler = pipeline_scheduler
+
+    async def dispatch(self):
+        while True:
+            event: AstrMessageEvent = await self.event_queue.get()
+            self._print_event(event)
+            asyncio.create_task(self.pipeline_scheduler.execute(event))
+
+    def _print_event(self, event: AstrMessageEvent):
+        if event.get_sender_name():
+            logger.info(
+                f"[{event.get_platform_name()}] {event.get_sender_name()}/{event.get_sender_id()}: {event.get_message_outline()}"
+            )
+        else:
+            logger.info(
+                f"[{event.get_platform_name()}] {event.get_sender_id()}: {event.get_message_outline()}"
+            )

astrbot/core/initial_loader.py

@@ -0,0 +1,36 @@
+import asyncio
+import traceback
+from astrbot.core import logger
+from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
+from astrbot.core.db import BaseDatabase
+from astrbot.core import LogBroker
+from astrbot.dashboard.server import AstrBotDashboard
+
+
+class InitialLoader:
+    def __init__(self, db: BaseDatabase, log_broker: LogBroker):
+        self.db = db
+        self.logger = logger
+        self.log_broker = log_broker
+
+    async def start(self):
+        core_lifecycle = AstrBotCoreLifecycle(self.log_broker, self.db)
+
+        core_task = []
+        try:
+            await core_lifecycle.initialize()
+            core_task = core_lifecycle.start()
+        except Exception as e:
+            logger.critical(traceback.format_exc())
+            logger.critical(f"😭 初始化 AstrBot 失败：{e} !!!")
+
+        self.dashboard_server = AstrBotDashboard(
+            core_lifecycle, self.db, core_lifecycle.dashboard_shutdown_event
+        )
+        task = asyncio.gather(core_task, self.dashboard_server.run())
+
+        try:
+            await task
+        except asyncio.CancelledError:
+            logger.info("🌈 正在关闭 AstrBot...")
+            await core_lifecycle.stop()

astrbot/core/log.py

@@ -0,0 +1,144 @@
+import logging
+import colorlog
+import asyncio
+import os
+from collections import deque
+from asyncio import Queue
+from typing import List
+
+CACHED_SIZE = 200
+log_color_config = {
+    "DEBUG": "green",
+    "INFO": "bold_cyan",
+    "WARNING": "bold_yellow",
+    "ERROR": "red",
+    "CRITICAL": "bold_red",
+    "RESET": "reset",
+    "asctime": "green",
+}
+
+
+def is_plugin_path(pathname):
+    """
+    检查文件路径是否来自插件目录
+    """
+    if not pathname:
+        return False
+
+    norm_path = os.path.normpath(pathname)
+    return ("data/plugins" in norm_path) or ("packages/" in norm_path)
+
+
+def get_short_level_name(level_name):
+    """
+    将日志级别名称转换为四个字母的缩写
+    """
+    level_map = {
+        "DEBUG": "DBUG",
+        "INFO": "INFO",
+        "WARNING": "WARN",
+        "ERROR": "ERRO",
+        "CRITICAL": "CRIT",
+    }
+    return level_map.get(level_name, level_name[:4].upper())
+
+
+class LogBroker:
+    def __init__(self):
+        self.log_cache = deque(maxlen=CACHED_SIZE)
+        self.subscribers: List[Queue] = []
+
+    def register(self) -> Queue:
+        """给每个订阅者返回一个带有日志缓存的队列"""
+        q = Queue(maxsize=CACHED_SIZE + 10)
+        for log in self.log_cache:
+            q.put_nowait(log)
+        self.subscribers.append(q)
+        return q
+
+    def unregister(self, q: Queue):
+        """取消订阅"""
+        self.subscribers.remove(q)
+
+    def publish(self, log_entry: str):
+        """发布消息"""
+        self.log_cache.append(log_entry)
+        for q in self.subscribers:
+            try:
+                q.put_nowait(log_entry)
+            except asyncio.QueueFull:
+                pass
+
+
+class LogQueueHandler(logging.Handler):
+    def __init__(self, log_broker: LogBroker):
+        super().__init__()
+        self.log_broker = log_broker
+
+    def emit(self, record):
+        log_entry = self.format(record)
+        self.log_broker.publish(log_entry)
+
+
+class LogManager:
+    @classmethod
+    def GetLogger(cls, log_name: str = "default"):
+        logger = logging.getLogger(log_name)
+        if logger.hasHandlers():
+            return logger
+        console_handler = logging.StreamHandler()
+        console_handler.setLevel(logging.DEBUG)
+
+        console_formatter = colorlog.ColoredFormatter(
+            fmt="%(log_color)s [%(asctime)s] %(plugin_tag)s [%(short_levelname)-4s] [%(filename)s:%(lineno)d]: %(message)s %(reset)s",
+            datefmt="%H:%M:%S",
+            log_colors=log_color_config,
+        )
+
+        class PluginFilter(logging.Filter):
+            def filter(self, record):
+                record.plugin_tag = (
+                    "[Plug]" if is_plugin_path(record.pathname) else "[Core]"
+                )
+                return True
+
+        class FileNameFilter(logging.Filter):
+            # 获取这个文件和父文件夹的名字：<folder>.<file> 并且去除 .py
+            def filter(self, record):
+                dirname = os.path.dirname(record.pathname)
+                record.filename = (
+                    os.path.basename(dirname)
+                    + "."
+                    + os.path.basename(record.pathname).replace(".py", "")
+                )
+                return True
+
+        class LevelNameFilter(logging.Filter):
+            # 添加短日志级别名称
+            def filter(self, record):
+                record.short_levelname = get_short_level_name(record.levelname)
+                return True
+
+        console_handler.setFormatter(console_formatter)
+        logger.addFilter(PluginFilter())
+        logger.addFilter(FileNameFilter())
+        logger.addFilter(LevelNameFilter())  # 添加级别名称过滤器
+        logger.setLevel(logging.DEBUG)
+        logger.addHandler(console_handler)
+
+        return logger
+
+    @classmethod
+    def set_queue_handler(cls, logger: logging.Logger, log_broker: LogBroker):
+        handler = LogQueueHandler(log_broker)
+        handler.setLevel(logging.DEBUG)
+        if logger.handlers:
+            handler.setFormatter(logger.handlers[0].formatter)
+        else:
+            # 为队列处理器设置相同格式的formatter
+            handler.setFormatter(
+                logging.Formatter(
+                    "[%(asctime)s] [%(short_levelname)s] %(plugin_tag)s[%(filename)s:%(lineno)d]: %(message)s"
+                )
+            )
+        logger.addHandler(handler)

astrbot/core/message/components.py

@@ -0,0 +1,605 @@
+"""
+MIT License
+
+Copyright (c) 2021 Lxns-Network
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+"""
+
+import base64
+import json
+import os
+import uuid
+import typing as T
+from enum import Enum
+from pydantic.v1 import BaseModel
+from astrbot.core.utils.io import download_image_by_url, file_to_base64
+
+
+class ComponentType(Enum):
+    Plain = "Plain"  # 纯文本消息
+    Face = "Face"  # QQ表情
+    Record = "Record"  # 语音
+    Video = "Video"  # 视频
+    At = "At"  # At
+    Node = "Node"  # 转发消息的一个节点
+    Nodes = "Nodes"  # 转发消息的多个节点
+    Poke = "Poke"  # QQ 戳一戳
+    Image = "Image"  # 图片
+    Reply = "Reply"  # 回复
+    Forward = "Forward"  # 转发消息
+    File = "File"  # 文件
+
+    RPS = "RPS"  # TODO
+    Dice = "Dice"  # TODO
+    Shake = "Shake"  # TODO
+    Anonymous = "Anonymous"  # TODO
+    Share = "Share"
+    Contact = "Contact"  # TODO
+    Location = "Location"  # TODO
+    Music = "Music"
+    RedBag = "RedBag"
+    Xml = "Xml"
+    Json = "Json"
+    CardImage = "CardImage"
+    TTS = "TTS"
+    Unknown = "Unknown"
+
+    WechatEmoji = "WechatEmoji"  # Wechat 下的 emoji 表情包
+
+
+class BaseMessageComponent(BaseModel):
+    type: ComponentType
+
+    def toString(self):
+        output = f"[CQ:{self.type.lower()}"
+        for k, v in self.__dict__.items():
+            if k == "type" or v is None:
+                continue
+            if k == "_type":
+                k = "type"
+            if isinstance(v, bool):
+                v = 1 if v else 0
+            output += ",%s=%s" % (
+                k,
+                str(v)
+                .replace("&", "&")
+                .replace(",", ",")
+                .replace("[", "[")
+                .replace("]", "]"),
+            )
+        output += "]"
+        return output
+
+    def toDict(self):
+        data = {}
+        for k, v in self.__dict__.items():
+            if k == "type" or v is None:
+                continue
+            if k == "_type":
+                k = "type"
+            data[k] = v
+        return {"type": self.type.lower(), "data": data}
+
+
+class Plain(BaseMessageComponent):
+    type: ComponentType = "Plain"
+    text: str
+    convert: T.Optional[bool] = True  # 若为 False 则直接发送未转换 CQ 码的消息
+
+    def __init__(self, text: str, convert: bool = True, **_):
+        super().__init__(text=text, convert=convert, **_)
+
+    def toString(self):  # 没有 [CQ:plain] 这种东西，所以直接导出纯文本
+        if not self.convert:
+            return self.text
+        return (
+            self.text.replace("&", "&").replace("[", "[").replace("]", "]")
+        )
+
+
+class Face(BaseMessageComponent):
+    type: ComponentType = "Face"
+    id: int
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Record(BaseMessageComponent):
+    type: ComponentType = "Record"
+    file: T.Optional[str] = ""
+    magic: T.Optional[bool] = False
+    url: T.Optional[str] = ""
+    cache: T.Optional[bool] = True
+    proxy: T.Optional[bool] = True
+    timeout: T.Optional[int] = 0
+    # 额外
+    path: T.Optional[str]
+
+    def __init__(self, file: T.Optional[str], **_):
+        for k in _.keys():
+            if k == "url":
+                pass
+                # Protocol.warn(f"go-cqhttp doesn't support send {self.type} by {k}")
+        super().__init__(file=file, **_)
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return Record(file=f"file:///{os.path.abspath(path)}", path=path, **_)
+
+    @staticmethod
+    def fromURL(url: str, **_):
+        if url.startswith("http://") or url.startswith("https://"):
+            return Record(file=url, **_)
+        raise Exception("not a valid url")
+
+    async def convert_to_file_path(self) -> str:
+        """将这个语音统一转换为本地文件路径。这个方法避免了手动判断语音数据类型，直接返回语音数据的本地路径（如果是网络 URL, 则会自动进行下载）。
+
+        Returns:
+            str: 语音的本地路径，以绝对路径表示。
+        """
+        if self.file and self.file.startswith("file:///"):
+            file_path = self.file[8:]
+            return file_path
+        elif self.file and self.file.startswith("http"):
+            file_path = await download_image_by_url(self.file)
+            return os.path.abspath(file_path)
+        elif self.file and self.file.startswith("base64://"):
+            bs64_data = self.file.removeprefix("base64://")
+            image_bytes = base64.b64decode(bs64_data)
+            file_path = f"data/temp/{uuid.uuid4()}.jpg"
+            with open(file_path, "wb") as f:
+                f.write(image_bytes)
+            return os.path.abspath(file_path)
+        elif os.path.exists(self.file):
+            file_path = self.file
+            return os.path.abspath(file_path)
+        else:
+            raise Exception(f"not a valid file: {self.file}")
+
+    async def convert_to_base64(self) -> str:
+        """将语音统一转换为 base64 编码。这个方法避免了手动判断语音数据类型，直接返回语音数据的 base64 编码。
+
+        Returns:
+            str: 语音的 base64 编码，不以 base64:// 或者 data:image/jpeg;base64, 开头。
+        """
+        # convert to base64
+        if self.file and self.file.startswith("file:///"):
+            bs64_data = file_to_base64(self.file[8:])
+        elif self.file and self.file.startswith("http"):
+            file_path = await download_image_by_url(self.file)
+            bs64_data = file_to_base64(file_path)
+        elif self.file and self.file.startswith("base64://"):
+            bs64_data = self.file
+        elif os.path.exists(self.file):
+            bs64_data = file_to_base64(self.file)
+        else:
+            raise Exception(f"not a valid file: {self.file}")
+        return bs64_data
+
+
+class Video(BaseMessageComponent):
+    type: ComponentType = "Video"
+    file: str
+    cover: T.Optional[str] = ""
+    c: T.Optional[int] = 2
+    # 额外
+    path: T.Optional[str] = ""
+
+    def __init__(self, file: str, **_):
+        # for k in _.keys():
+        #     if k == "c" and _[k] not in [2, 3]:
+        #         logger.warn(f"Protocol: {k}={_[k]} doesn't match values")
+        super().__init__(file=file, **_)
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return Video(file=f"file:///{os.path.abspath(path)}", path=path, **_)
+
+    @staticmethod
+    def fromURL(url: str, **_):
+        if url.startswith("http://") or url.startswith("https://"):
+            return Video(file=url, **_)
+        raise Exception("not a valid url")
+
+
+class At(BaseMessageComponent):
+    type: ComponentType = "At"
+    qq: T.Union[int, str]  # 此处str为all时代表所有人
+    name: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class AtAll(At):
+    qq: str = "all"
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class RPS(BaseMessageComponent):  # TODO
+    type: ComponentType = "RPS"
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Dice(BaseMessageComponent):  # TODO
+    type: ComponentType = "Dice"
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Shake(BaseMessageComponent):  # TODO
+    type: ComponentType = "Shake"
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Anonymous(BaseMessageComponent):  # TODO
+    type: ComponentType = "Anonymous"
+    ignore: T.Optional[bool] = False
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Share(BaseMessageComponent):
+    type: ComponentType = "Share"
+    url: str
+    title: str
+    content: T.Optional[str] = ""
+    image: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Contact(BaseMessageComponent):  # TODO
+    type: ComponentType = "Contact"
+    _type: str  # type 字段冲突
+    id: T.Optional[int] = 0
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Location(BaseMessageComponent):  # TODO
+    type: ComponentType = "Location"
+    lat: float
+    lon: float
+    title: T.Optional[str] = ""
+    content: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Music(BaseMessageComponent):
+    type: ComponentType = "Music"
+    _type: str
+    id: T.Optional[int] = 0
+    url: T.Optional[str] = ""
+    audio: T.Optional[str] = ""
+    title: T.Optional[str] = ""
+    content: T.Optional[str] = ""
+    image: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        # for k in _.keys():
+        #     if k == "_type" and _[k] not in ["qq", "163", "xm", "custom"]:
+        #         logger.warn(f"Protocol: {k}={_[k]} doesn't match values")
+        super().__init__(**_)
+
+
+class Image(BaseMessageComponent):
+    type: ComponentType = "Image"
+    file: T.Optional[str] = ""
+    _type: T.Optional[str] = ""
+    subType: T.Optional[int] = 0
+    url: T.Optional[str] = ""
+    cache: T.Optional[bool] = True
+    id: T.Optional[int] = 40000
+    c: T.Optional[int] = 2
+    # 额外
+    path: T.Optional[str] = ""
+    file_unique: T.Optional[str] = ""  # 某些平台可能有图片缓存的唯一标识
+
+    def __init__(self, file: T.Optional[str], **_):
+        super().__init__(file=file, **_)
+
+    @staticmethod
+    def fromURL(url: str, **_):
+        if url.startswith("http://") or url.startswith("https://"):
+            return Image(file=url, **_)
+        raise Exception("not a valid url")
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return Image(file=f"file:///{os.path.abspath(path)}", path=path, **_)
+
+    @staticmethod
+    def fromBase64(base64: str, **_):
+        return Image(f"base64://{base64}", **_)
+
+    @staticmethod
+    def fromBytes(byte: bytes):
+        return Image.fromBase64(base64.b64encode(byte).decode())
+
+    @staticmethod
+    def fromIO(IO):
+        return Image.fromBytes(IO.read())
+
+    async def convert_to_file_path(self) -> str:
+        """将这个图片统一转换为本地文件路径。这个方法避免了手动判断图片数据类型，直接返回图片数据的本地路径（如果是网络 URL, 则会自动进行下载）。
+
+        Returns:
+            str: 图片的本地路径，以绝对路径表示。
+        """
+        url = self.url if self.url else self.file
+        if url and url.startswith("file:///"):
+            image_file_path = url[8:]
+            return image_file_path
+        elif url and url.startswith("http"):
+            image_file_path = await download_image_by_url(url)
+            return os.path.abspath(image_file_path)
+        elif url and url.startswith("base64://"):
+            bs64_data = url.removeprefix("base64://")
+            image_bytes = base64.b64decode(bs64_data)
+            image_file_path = f"data/temp/{uuid.uuid4()}.jpg"
+            with open(image_file_path, "wb") as f:
+                f.write(image_bytes)
+            return os.path.abspath(image_file_path)
+        elif os.path.exists(url):
+            image_file_path = url
+            return os.path.abspath(image_file_path)
+        else:
+            raise Exception(f"not a valid file: {url}")
+
+    async def convert_to_base64(self) -> str:
+        """将这个图片统一转换为 base64 编码。这个方法避免了手动判断图片数据类型，直接返回图片数据的 base64 编码。
+
+        Returns:
+            str: 图片的 base64 编码，不以 base64:// 或者 data:image/jpeg;base64, 开头。
+        """
+        # convert to base64
+        url = self.url if self.url else self.file
+        if url and url.startswith("file:///"):
+            bs64_data = file_to_base64(url[8:])
+        elif url and url.startswith("http"):
+            image_file_path = await download_image_by_url(url)
+            bs64_data = file_to_base64(image_file_path)
+        elif url and url.startswith("base64://"):
+            bs64_data = url
+        elif os.path.exists(url):
+            bs64_data = file_to_base64(url)
+        else:
+            raise Exception(f"not a valid file: {url}")
+        return bs64_data
+
+
+class Reply(BaseMessageComponent):
+    type: ComponentType = "Reply"
+    id: T.Union[str, int]
+    """所引用的消息 ID"""
+    chain: T.Optional[T.List["BaseMessageComponent"]] = []
+    """引用的消息段列表"""
+    sender_id: T.Optional[int] | T.Optional[str] = 0
+    """引用的消息发送者 ID"""
+    sender_nickname: T.Optional[str] = ""
+    """引用的消息发送者昵称"""
+    time: T.Optional[int] = 0
+    """引用的消息发送时间"""
+    message_str: T.Optional[str] = ""
+    """解析后的纯文本消息字符串"""
+    sender_str: T.Optional[str] = ""
+    """被引用的消息纯文本"""
+
+    text: T.Optional[str] = ""
+    """deprecated"""
+    qq: T.Optional[int] = 0
+    """deprecated"""
+    seq: T.Optional[int] = 0
+    """deprecated"""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class RedBag(BaseMessageComponent):
+    type: ComponentType = "RedBag"
+    title: str
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Poke(BaseMessageComponent):
+    type: str = ""
+    id: T.Optional[int] = 0
+    qq: T.Optional[int] = 0
+
+    def __init__(self, type: str, **_):
+        type = f"Poke:{type}"
+        super().__init__(type=type, **_)
+
+
+class Forward(BaseMessageComponent):
+    type: ComponentType = "Forward"
+    id: str
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Node(BaseMessageComponent):
+    """群合并转发消息"""
+
+    type: ComponentType = "Node"
+    id: T.Optional[int] = 0  # 忽略
+    name: T.Optional[str] = ""  # qq昵称
+    uin: T.Optional[int] = 0  # qq号
+    content: T.Optional[T.Union[str, list, dict]] = ""  # 子消息段列表
+    seq: T.Optional[T.Union[str, list]] = ""  # 忽略
+    time: T.Optional[int] = 0
+
+    def __init__(self, content: T.Union[str, list, dict, "Node", T.List["Node"]], **_):
+        if isinstance(content, list):
+            _content = None
+            if all(isinstance(item, Node) for item in content):
+                _content = [node.toDict() for node in content]
+            else:
+                _content = ""
+                for chain in content:
+                    _content += chain.toString()
+            content = _content
+        elif isinstance(content, Node):
+            content = content.toDict()
+        super().__init__(content=content, **_)
+
+    def toString(self):
+        # logger.warn("Protocol: node doesn't support stringify")
+        return ""
+
+
+class Nodes(BaseMessageComponent):
+    type: ComponentType = "Nodes"
+    nodes: T.List[Node]
+
+    def __init__(self, nodes: T.List[Node], **_):
+        super().__init__(nodes=nodes, **_)
+
+    def toDict(self):
+        return {"messages": [node.toDict() for node in self.nodes]}
+
+
+class Xml(BaseMessageComponent):
+    type: ComponentType = "Xml"
+    data: str
+    resid: T.Optional[int] = 0
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Json(BaseMessageComponent):
+    type: ComponentType = "Json"
+    data: T.Union[str, dict]
+    resid: T.Optional[int] = 0
+
+    def __init__(self, data, **_):
+        if isinstance(data, dict):
+            data = json.dumps(data)
+        super().__init__(data=data, **_)
+
+
+class CardImage(BaseMessageComponent):
+    type: ComponentType = "CardImage"
+    file: str
+    cache: T.Optional[bool] = True
+    minwidth: T.Optional[int] = 400
+    minheight: T.Optional[int] = 400
+    maxwidth: T.Optional[int] = 500
+    maxheight: T.Optional[int] = 500
+    source: T.Optional[str] = ""
+    icon: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return CardImage(file=f"file:///{os.path.abspath(path)}", **_)
+
+
+class TTS(BaseMessageComponent):
+    type: ComponentType = "TTS"
+    text: str
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Unknown(BaseMessageComponent):
+    type: ComponentType = "Unknown"
+    text: str
+
+    def toString(self):
+        return ""
+
+
+class File(BaseMessageComponent):
+    """
+    目前此消息段只适配了 Napcat。
+    """
+
+    type: ComponentType = "File"
+    name: T.Optional[str] = ""  # 名字
+    file: T.Optional[str] = ""  # url（本地路径）
+
+    def __init__(self, name: str, file: str):
+        super().__init__(name=name, file=file)
+
+
+class WechatEmoji(BaseMessageComponent):
+    type: ComponentType = "WechatEmoji"
+    md5: T.Optional[str] = ""
+    md5_len: T.Optional[int] = 0
+    cdnurl: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+ComponentTypes = {
+    "plain": Plain,
+    "text": Plain,
+    "face": Face,
+    "record": Record,
+    "video": Video,
+    "at": At,
+    "rps": RPS,
+    "dice": Dice,
+    "shake": Shake,
+    "anonymous": Anonymous,
+    "share": Share,
+    "contact": Contact,
+    "location": Location,
+    "music": Music,
+    "image": Image,
+    "reply": Reply,
+    "redbag": RedBag,
+    "poke": Poke,
+    "forward": Forward,
+    "node": Node,
+    "nodes": Nodes,
+    "xml": Xml,
+    "json": Json,
+    "cardimage": CardImage,
+    "tts": TTS,
+    "unknown": Unknown,
+    "file": File,
+    "WechatEmoji": WechatEmoji,
+}

astrbot/core/message/message_event_result.py

@@ -0,0 +1,155 @@
+import enum
+
+from typing import List, Optional
+from dataclasses import dataclass, field
+from astrbot.core.message.components import BaseMessageComponent, Plain, Image
+from typing_extensions import deprecated
+
+
+@dataclass
+class MessageChain:
+    """MessageChain 描述了一整条消息中带有的所有组件。
+    现代消息平台的一条富文本消息中可能由多个组件构成，如文本、图片、At 等，并且保留了顺序。
+
+    Attributes:
+        `chain` (list): 用于顺序存储各个组件。
+        `use_t2i_` (bool): 用于标记是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
+    """
+
+    chain: List[BaseMessageComponent] = field(default_factory=list)
+    use_t2i_: Optional[bool] = None  # None 为跟随用户设置
+
+    def message(self, message: str):
+        """添加一条文本消息到消息链 `chain` 中。
+
+        Example:
+
+            CommandResult().message("Hello ").message("world!")
+            # 输出 Hello world!
+
+        """
+        self.chain.append(Plain(message))
+        return self
+
+    @deprecated("请使用 message 方法代替。")
+    def error(self, message: str):
+        """添加一条错误消息到消息链 `chain` 中
+
+        Example:
+
+            CommandResult().error("解析失败")
+
+        """
+        self.chain.append(Plain(message))
+        return self
+
+    def url_image(self, url: str):
+        """添加一条图片消息（https 链接）到消息链 `chain` 中。
+
+        Note:
+            如果需要发送本地图片，请使用 `file_image` 方法。
+
+        Example:
+
+            CommandResult().image("https://example.com/image.jpg")
+
+        """
+        self.chain.append(Image.fromURL(url))
+        return self
+
+    def file_image(self, path: str):
+        """添加一条图片消息（本地文件路径）到消息链 `chain` 中。
+
+        Note:
+            如果需要发送网络图片，请使用 `url_image` 方法。
+
+        CommandResult().image("image.jpg")
+        """
+        self.chain.append(Image.fromFileSystem(path))
+        return self
+
+    def use_t2i(self, use_t2i: bool):
+        """设置是否使用文本转图片服务。
+
+        Args:
+            use_t2i (bool): 是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
+        """
+        self.use_t2i_ = use_t2i
+        return self
+
+    def get_plain_text(self) -> str:
+        """获取纯文本消息。这个方法将获取 chain 中所有 Plain 组件的文本并拼接成一条消息。空格分隔。"""
+        return " ".join([comp.text for comp in self.chain if isinstance(comp, Plain)])
+
+
+class EventResultType(enum.Enum):
+    """用于描述事件处理的结果类型。
+
+    Attributes:
+        CONTINUE: 事件将会继续传播
+        STOP: 事件将会终止传播
+    """
+
+    CONTINUE = enum.auto()
+    STOP = enum.auto()
+
+
+class ResultContentType(enum.Enum):
+    """用于描述事件结果的内容的类型。"""
+
+    LLM_RESULT = enum.auto()
+    """调用 LLM 产生的结果"""
+    GENERAL_RESULT = enum.auto()
+    """普通的消息结果"""
+
+
+@dataclass
+class MessageEventResult(MessageChain):
+    """MessageEventResult 描述了一整条消息中带有的所有组件以及事件处理的结果。
+    现代消息平台的一条富文本消息中可能由多个组件构成，如文本、图片、At 等，并且保留了顺序。
+
+    Attributes:
+        `chain` (list): 用于顺序存储各个组件。
+        `use_t2i_` (bool): 用于标记是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
+        `result_type` (EventResultType): 事件处理的结果类型。
+    """
+
+    result_type: Optional[EventResultType] = field(
+        default_factory=lambda: EventResultType.CONTINUE
+    )
+
+    result_content_type: Optional[ResultContentType] = field(
+        default_factory=lambda: ResultContentType.GENERAL_RESULT
+    )
+
+    def stop_event(self) -> "MessageEventResult":
+        """终止事件传播。"""
+        self.result_type = EventResultType.STOP
+        return self
+
+    def continue_event(self) -> "MessageEventResult":
+        """继续事件传播。"""
+        self.result_type = EventResultType.CONTINUE
+        return self
+
+    def is_stopped(self) -> bool:
+        """
+        是否终止事件传播。
+        """
+        return self.result_type == EventResultType.STOP
+
+    def set_result_content_type(self, typ: ResultContentType) -> "MessageEventResult":
+        """设置事件处理的结果类型。
+
+        Args:
+            result_type (EventResultType): 事件处理的结果类型。
+        """
+        self.result_content_type = typ
+        return self
+
+    def is_llm_result(self) -> bool:
+        """是否为 LLM 结果。"""
+        return self.result_content_type == ResultContentType.LLM_RESULT
+
+
+CommandResult = MessageEventResult

astrbot/core/pipeline/__init__.py

@@ -0,0 +1,37 @@
+from astrbot.core.message.message_event_result import (
+    MessageEventResult,
+    EventResultType,
+)
+
+from .waking_check.stage import WakingCheckStage
+from .whitelist_check.stage import WhitelistCheckStage
+from .rate_limit_check.stage import RateLimitStage
+from .content_safety_check.stage import ContentSafetyCheckStage
+from .preprocess_stage.stage import PreProcessStage
+from .process_stage.stage import ProcessStage
+from .result_decorate.stage import ResultDecorateStage
+from .respond.stage import RespondStage
+
+STAGES_ORDER = [
+    "WakingCheckStage",  # 检查是否需要唤醒
+    "WhitelistCheckStage",  # 检查是否在群聊/私聊白名单
+    "RateLimitStage",  # 检查会话是否超过频率限制
+    "ContentSafetyCheckStage",  # 检查内容安全
+    "PreProcessStage",  # 预处理
+    "ProcessStage",  # 交由 Stars 处理（a.k.a 插件），或者 LLM 调用
+    "ResultDecorateStage",  # 处理结果，比如添加回复前缀、t2i、转换为语音 等
+    "RespondStage",  # 发送消息
+]
+
+__all__ = [
+    "WakingCheckStage",
+    "WhitelistCheckStage",
+    "RateLimitStage",
+    "ContentSafetyCheckStage",
+    "PreProcessStage",
+    "ProcessStage",
+    "ResultDecorateStage",
+    "RespondStage",
+    "MessageEventResult",
+    "EventResultType",
+]

astrbot/core/pipeline/content_safety_check/stage.py

@@ -0,0 +1,37 @@
+from typing import Union, AsyncGenerator
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import MessageEventResult
+from astrbot.core import logger
+from .strategies.strategy import StrategySelector
+
+
+@register_stage
+class ContentSafetyCheckStage(Stage):
+    """检查内容安全
+
+    当前只会检查文本的。
+    """
+
+    async def initialize(self, ctx: PipelineContext):
+        config = ctx.astrbot_config["content_safety"]
+        self.strategy_selector = StrategySelector(config)
+
+    async def process(
+        self, event: AstrMessageEvent, check_text: str = None
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        """检查内容安全"""
+        text = check_text if check_text else event.get_message_str()
+        ok, info = self.strategy_selector.check(text)
+        if not ok:
+            if event.is_at_or_wake_command:
+                event.set_result(
+                    MessageEventResult().message(
+                        "你的消息或者大模型的响应中包含不适当的内容，已被屏蔽。"
+                    )
+                )
+                yield
+            event.stop_event()
+            logger.info(f"内容安全检查不通过，原因：{info}")
+            return

astrbot/core/pipeline/content_safety_check/strategies/__init__.py

@@ -0,0 +1,8 @@
+import abc
+from typing import Tuple
+
+
+class ContentSafetyStrategy(abc.ABC):
+    @abc.abstractmethod
+    def check(self, content: str) -> Tuple[bool, str]:
+        raise NotImplementedError

astrbot/core/pipeline/content_safety_check/strategies/baidu_aip.py

@@ -0,0 +1,30 @@
+"""
+使用此功能应该先 pip install baidu-aip
+"""
+
+from . import ContentSafetyStrategy
+from aip import AipContentCensor
+
+
+class BaiduAipStrategy(ContentSafetyStrategy):
+    def __init__(self, appid: str, ak: str, sk: str) -> None:
+        self.app_id = appid
+        self.api_key = ak
+        self.secret_key = sk
+        self.client = AipContentCensor(self.app_id, self.api_key, self.secret_key)
+
+    def check(self, content: str):
+        res = self.client.textCensorUserDefined(content)
+        if "conclusionType" not in res:
+            return False, ""
+        if res["conclusionType"] == 1:
+            return True, ""
+        else:
+            if "data" not in res:
+                return False, ""
+            count = len(res["data"])
+            info = f"百度审核服务发现 {count} 处违规：\n"
+            for i in res["data"]:
+                info += f"{i['msg']}；\n"
+            info += "\n判断结果：" + res["conclusion"]
+            return False, info

astrbot/core/pipeline/content_safety_check/strategies/keywords.py

@@ -0,0 +1,23 @@
+import re
+from . import ContentSafetyStrategy
+
+
+class KeywordsStrategy(ContentSafetyStrategy):
+    def __init__(self, extra_keywords: list) -> None:
+        self.keywords = []
+        if extra_keywords is None:
+            extra_keywords = []
+        self.keywords.extend(extra_keywords)
+        # keywords_path = os.path.join(os.path.dirname(__file__), "unfit_words")
+        # internal keywords
+        # if os.path.exists(keywords_path):
+        #     with open(keywords_path, "r", encoding="utf-8") as f:
+        #         self.keywords.extend(
+        #             json.loads(base64.b64decode(f.read()).decode("utf-8"))["keywords"]
+        #         )
+
+    def check(self, content: str) -> bool:
+        for keyword in self.keywords:
+            if re.search(keyword, content):
+                return False, "内容安全检查不通过，匹配到敏感词。"
+        return True, ""

astrbot/core/pipeline/content_safety_check/strategies/strategy.py

@@ -0,0 +1,34 @@
+from . import ContentSafetyStrategy
+from typing import List, Tuple
+from astrbot import logger
+
+
+class StrategySelector:
+    def __init__(self, config: dict) -> None:
+        self.enabled_strategies: List[ContentSafetyStrategy] = []
+        if config["internal_keywords"]["enable"]:
+            from .keywords import KeywordsStrategy
+
+            self.enabled_strategies.append(
+                KeywordsStrategy(config["internal_keywords"]["extra_keywords"])
+            )
+        if config["baidu_aip"]["enable"]:
+            try:
+                from .baidu_aip import BaiduAipStrategy
+            except ImportError:
+                logger.warning("使用百度内容审核应该先 pip install baidu-aip")
+                return
+            self.enabled_strategies.append(
+                BaiduAipStrategy(
+                    config["baidu_aip"]["app_id"],
+                    config["baidu_aip"]["api_key"],
+                    config["baidu_aip"]["secret_key"],
+                )
+            )
+
+    def check(self, content: str) -> Tuple[bool, str]:
+        for strategy in self.enabled_strategies:
+            ok, info = strategy.check(content)
+            if not ok:
+                return False, info
+        return True, ""

astrbot/core/pipeline/context.py

@@ -0,0 +1,9 @@
+from dataclasses import dataclass
+from astrbot.core.config.astrbot_config import AstrBotConfig
+from astrbot.core.star import PluginManager
+
+
+@dataclass
+class PipelineContext:
+    astrbot_config: AstrBotConfig
+    plugin_manager: PluginManager

astrbot/core/pipeline/preprocess_stage/stage.py

@@ -0,0 +1,73 @@
+import traceback
+import asyncio
+from typing import Union, AsyncGenerator
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core import logger
+from astrbot.core.message.components import Plain, Record, Image
+
+
+@register_stage
+class PreProcessStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        self.config = ctx.astrbot_config
+        self.plugin_manager = ctx.plugin_manager
+
+        self.stt_settings: dict = self.config.get("provider_stt_settings", {})
+        self.platform_settings: dict = self.config.get("platform_settings", {})
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        """在处理事件之前的预处理"""
+        # 路径映射
+        if mappings := self.platform_settings.get("path_mapping", []):
+            # 支持 Record，Image 消息段的路径映射。
+            message_chain = event.get_messages()
+
+            for idx, component in enumerate(message_chain):
+                if isinstance(component, (Record, Image)) and component.url:
+                    for mapping in mappings:
+                        from_, to_ = mapping.split(":")
+                        from_ = from_.removesuffix("/")
+                        to_ = to_.removesuffix("/")
+
+                        url = component.url.removeprefix("file://")
+                        if url.startswith(from_):
+                            component.url = url.replace(from_, to_, 1)
+                            logger.debug(f"路径映射: {url} -> {component.url}")
+                    message_chain[idx] = component
+
+        # STT
+        if self.stt_settings.get("enable", False):
+            # TODO: 独立
+            stt_provider = (
+                self.plugin_manager.context.provider_manager.curr_stt_provider_inst
+            )
+            if stt_provider:
+                message_chain = event.get_messages()
+                for idx, component in enumerate(message_chain):
+                    if isinstance(component, Record) and component.url:
+                        path = component.url.removeprefix("file://")
+                        retry = 5
+                        for i in range(retry):
+                            try:
+                                result = await stt_provider.get_text(audio_url=path)
+                                if result:
+                                    logger.info("语音转文本结果: " + result)
+                                    message_chain[idx] = Plain(result)
+                                    event.message_str += result
+                                    event.message_obj.message_str += result
+                                break
+                            except FileNotFoundError as e:
+                                # napcat workaround
+                                logger.warning(e)
+                                logger.warning(f"重试中: {i + 1}/{retry}")
+                                await asyncio.sleep(0.5)
+                                continue
+                            except BaseException as e:
+                                logger.error(traceback.format_exc())
+                                logger.error(f"语音转文本失败: {e}")
+                                break

astrbot/core/pipeline/process_stage/method/llm_request.py

@@ -0,0 +1,324 @@
+"""
+本地 Agent 模式的 LLM 调用 Stage
+"""
+
+import traceback
+import asyncio
+import json
+from typing import Union, AsyncGenerator
+from ...context import PipelineContext
+from ..stage import Stage
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import (
+    MessageEventResult,
+    ResultContentType,
+)
+from astrbot.core.message.components import Image
+from astrbot.core import logger
+from astrbot.core.utils.metrics import Metric
+from astrbot.core.provider.entites import (
+    ProviderRequest,
+    LLMResponse,
+    ToolCallMessageSegment,
+    AssistantMessageSegment,
+    ToolCallsResult,
+)
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star import star_map
+
+
+class LLMRequestSubStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        self.bot_wake_prefixs = ctx.astrbot_config["wake_prefix"]  # list
+        self.provider_wake_prefix = ctx.astrbot_config["provider_settings"][
+            "wake_prefix"
+        ]  # str
+        self.max_context_length = ctx.astrbot_config["provider_settings"][
+            "max_context_length"
+        ]  # int
+
+        for bwp in self.bot_wake_prefixs:
+            if self.provider_wake_prefix.startswith(bwp):
+                logger.info(
+                    f"识别 LLM 聊天额外唤醒前缀 {self.provider_wake_prefix} 以机器人唤醒前缀 {bwp} 开头，已自动去除。"
+                )
+                self.provider_wake_prefix = self.provider_wake_prefix[len(bwp) :]
+
+        self.conv_manager = ctx.plugin_manager.context.conversation_manager
+
+    async def process(
+        self, event: AstrMessageEvent, _nested: bool = False
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        req: ProviderRequest = None
+
+        provider = self.ctx.plugin_manager.context.get_using_provider()
+        if provider is None:
+            return
+
+        if event.get_extra("provider_request"):
+            req = event.get_extra("provider_request")
+            assert isinstance(req, ProviderRequest), (
+                "provider_request 必须是 ProviderRequest 类型。"
+            )
+
+            if req.conversation:
+                req.contexts = json.loads(req.conversation.history)
+        else:
+            req = ProviderRequest(prompt="", image_urls=[])
+            if self.provider_wake_prefix:
+                if not event.message_str.startswith(self.provider_wake_prefix):
+                    return
+            req.prompt = event.message_str[len(self.provider_wake_prefix) :]
+            req.func_tool = self.ctx.plugin_manager.context.get_llm_tool_manager()
+            for comp in event.message_obj.message:
+                if isinstance(comp, Image):
+                    image_path = await comp.convert_to_file_path()
+                    req.image_urls.append(image_path)
+
+            # 获取对话上下文
+            conversation_id = await self.conv_manager.get_curr_conversation_id(
+                event.unified_msg_origin
+            )
+            req.session_id = event.unified_msg_origin
+            if not conversation_id:
+                conversation_id = await self.conv_manager.new_conversation(
+                    event.unified_msg_origin
+                )
+            conversation = await self.conv_manager.get_conversation(
+                event.unified_msg_origin, conversation_id
+            )
+            if not conversation:
+                conversation_id = await self.conv_manager.new_conversation(
+                    event.unified_msg_origin
+                )
+                conversation = await self.conv_manager.get_conversation(
+                    event.unified_msg_origin, conversation_id
+                )
+            req.conversation = conversation
+            req.contexts = json.loads(conversation.history)
+
+            event.set_extra("provider_request", req)
+
+        if not req.prompt and not req.image_urls:
+            return
+
+        # 执行请求 LLM 前事件钩子。
+        # 装饰 system_prompt 等功能
+        handlers = star_handlers_registry.get_handlers_by_event_type(
+            EventType.OnLLMRequestEvent
+        )
+        for handler in handlers:
+            try:
+                logger.debug(
+                    f"hook(on_llm_request) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+                )
+                await handler.handler(event, req)
+            except BaseException:
+                logger.error(traceback.format_exc())
+
+            if event.is_stopped():
+                logger.info(
+                    f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。"
+                )
+                return
+
+        if isinstance(req.contexts, str):
+            req.contexts = json.loads(req.contexts)
+
+        # max context length
+        if (
+            self.max_context_length != -1  # -1 为不限制
+            and len(req.contexts) // 2 > self.max_context_length
+        ):
+            logger.debug("上下文长度超过限制，将截断。")
+            req.contexts = req.contexts[-self.max_context_length * 2 :]
+
+        try:
+            need_loop = True
+            while need_loop:
+                need_loop = False
+                logger.debug(f"提供商请求 Payload: {req}")
+                llm_response = await provider.text_chat(**req.__dict__)  # 请求 LLM
+
+                # 执行 LLM 响应后的事件钩子。
+                handlers = star_handlers_registry.get_handlers_by_event_type(
+                    EventType.OnLLMResponseEvent
+                )
+                for handler in handlers:
+                    try:
+                        logger.debug(
+                            f"hook(on_llm_response) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+                        )
+                        await handler.handler(event, llm_response)
+                    except BaseException:
+                        logger.error(traceback.format_exc())
+
+                    if event.is_stopped():
+                        logger.info(
+                            f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。"
+                        )
+                        return
+
+                async for result in self._handle_llm_response(event, req, llm_response):
+                    if isinstance(result, ProviderRequest):
+                        # 有函数工具调用并且返回了结果，我们需要再次请求 LLM
+                        req = result
+                        need_loop = True
+                    else:
+                        yield
+
+            asyncio.create_task(
+                Metric.upload(
+                    llm_tick=1,
+                    model_name=provider.get_model(),
+                    provider_type=provider.meta().type,
+                )
+            )
+
+            # 保存到历史记录
+            await self._save_to_history(event, req, llm_response)
+
+        except BaseException as e:
+            logger.error(traceback.format_exc())
+            event.set_result(
+                MessageEventResult().message(
+                    f"AstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {str(e)}"
+                )
+            )
+            return
+
+    async def _handle_llm_response(
+        self, event: AstrMessageEvent, req: ProviderRequest, llm_response: LLMResponse
+    ) -> AsyncGenerator[None, None]:
+        """处理 LLM 响应。
+
+        Returns:
+            bool: 是否需要继续调用 LLM
+
+        Yields:
+            Iterator[bool]: 将 event 交付给下一个 stage
+        """
+        if llm_response.role == "assistant":
+            # text completion
+            if llm_response.result_chain:
+                event.set_result(
+                    MessageEventResult(
+                        chain=llm_response.result_chain.chain
+                    ).set_result_content_type(ResultContentType.LLM_RESULT)
+                )
+            else:
+                event.set_result(
+                    MessageEventResult()
+                    .message(llm_response.completion_text)
+                    .set_result_content_type(ResultContentType.LLM_RESULT)
+                )
+        elif llm_response.role == "err":
+            event.set_result(
+                MessageEventResult().message(
+                    f"AstrBot 请求失败。\n错误信息: {llm_response.completion_text}"
+                )
+            )
+        elif llm_response.role == "tool":
+            # function calling
+            tool_call_result: list[ToolCallMessageSegment] = []
+            logger.info(
+                f"触发 {len(llm_response.tools_call_name)} 个函数调用: {llm_response.tools_call_name}"
+            )
+            for func_tool_name, func_tool_args, func_tool_id in zip(
+                llm_response.tools_call_name,
+                llm_response.tools_call_args,
+                llm_response.tools_call_ids,
+            ):
+                try:
+                    func_tool = req.func_tool.get_func(func_tool_name)
+                    if func_tool.origin == "mcp":
+                        logger.info(
+                            f"从 MCP 服务 {func_tool.mcp_server_name} 调用工具函数：{func_tool.name}，参数：{func_tool_args}"
+                        )
+                        client = req.func_tool.mcp_client_dict[
+                            func_tool.mcp_server_name
+                        ]
+                        res = await client.session.call_tool(
+                            func_tool.name, func_tool_args
+                        )
+                        if res:
+                            # TODO content的类型可能包括list[TextContent | ImageContent | EmbeddedResource]，这里只处理了TextContent。
+                            tool_call_result.append(
+                                ToolCallMessageSegment(
+                                    role="tool",
+                                    tool_call_id=func_tool_id,
+                                    content=res.content[0].text,
+                                )
+                            )
+                    else:
+                        logger.info(
+                            f"调用工具函数：{func_tool_name}，参数：{func_tool_args}"
+                        )
+                        # 尝试调用工具函数
+                        wrapper = self._call_handler(
+                            self.ctx, event, func_tool.handler, **func_tool_args
+                        )
+                        async for resp in wrapper:
+                            if resp is not None:  # 有 return 返回
+                                tool_call_result.append(
+                                    ToolCallMessageSegment(
+                                        role="tool",
+                                        tool_call_id=func_tool_id,
+                                        content=resp,
+                                    )
+                                )
+                            else:
+                                yield  # 有生成器返回
+                    event.clear_result()  # 清除上一个 handler 的结果
+                except BaseException as e:
+                    logger.warning(traceback.format_exc())
+                    tool_call_result.append(
+                        ToolCallMessageSegment(
+                            role="tool",
+                            tool_call_id=func_tool_id,
+                            content=f"error: {str(e)}",
+                        )
+                    )
+            if tool_call_result:
+                # 函数调用结果
+                req.func_tool = None  # 暂时不支持递归工具调用
+                assistant_msg_seg = AssistantMessageSegment(
+                    role="assistant", tool_calls=llm_response.to_openai_tool_calls()
+                )
+                # 在多轮 Tool 调用的情况下，这里始终保持最新的 Tool 调用结果，减少上下文长度。
+                req.tool_calls_result = ToolCallsResult(
+                    tool_calls_info=assistant_msg_seg,
+                    tool_calls_result=tool_call_result,
+                )
+                yield req  # 再次执行 LLM 请求
+            else:
+                if llm_response.completion_text:
+                    event.set_result(
+                        MessageEventResult().message(llm_response.completion_text)
+                    )
+
+    async def _save_to_history(
+        self, event: AstrMessageEvent, req: ProviderRequest, llm_response: LLMResponse
+    ):
+        if not req or not req.conversation or not llm_response:
+            return
+
+        if llm_response.role == "assistant":
+            # 文本回复
+            contexts = req.contexts
+            contexts.append(await req.assemble_context())
+
+            # tool calls result
+            if req.tool_calls_result:
+                contexts.extend(req.tool_calls_result.to_openai_messages())
+
+            contexts.append(
+                {"role": "assistant", "content": llm_response.completion_text}
+            )
+            contexts_to_save = list(
+                filter(lambda item: "_no_save" not in item, contexts)
+            )
+            await self.conv_manager.update_conversation(
+                event.unified_msg_origin, req.conversation.cid, history=contexts_to_save
+            )

astrbot/core/pipeline/process_stage/method/star_request.py

@@ -0,0 +1,56 @@
+"""
+本地 Agent 模式的 AstrBot 插件调用 Stage
+"""
+
+from ...context import PipelineContext
+from ..stage import Stage
+from typing import Dict, Any, List, AsyncGenerator, Union
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import MessageEventResult
+from astrbot.core import logger
+from astrbot.core.star.star_handler import StarHandlerMetadata
+from astrbot.core.star.star import star_map
+import traceback
+
+
+class StarRequestSubStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.curr_provider = ctx.plugin_manager.context.get_using_provider()
+        self.prompt_prefix = ctx.astrbot_config["provider_settings"]["prompt_prefix"]
+        self.identifier = ctx.astrbot_config["provider_settings"]["identifier"]
+        self.ctx = ctx
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        activated_handlers: List[StarHandlerMetadata] = event.get_extra(
+            "activated_handlers"
+        )
+        handlers_parsed_params: Dict[str, Dict[str, Any]] = event.get_extra(
+            "handlers_parsed_params"
+        )
+        if not handlers_parsed_params:
+            handlers_parsed_params = {}
+        for handler in activated_handlers:
+            params = handlers_parsed_params.get(handler.handler_full_name, {})
+            try:
+                if handler.handler_module_path not in star_map:
+                    continue
+                logger.debug(
+                    f"plugin -> {star_map.get(handler.handler_module_path).name} - {handler.handler_name}"
+                )
+                wrapper = self._call_handler(self.ctx, event, handler.handler, **params)
+                async for ret in wrapper:
+                    yield ret
+                event.clear_result()  # 清除上一个 handler 的结果
+            except Exception as e:
+                logger.error(traceback.format_exc())
+                logger.error(f"Star {handler.handler_full_name} handle error: {e}")
+
+                if event.is_at_or_wake_command:
+                    ret = f":(\n\n在调用插件 {star_map.get(handler.handler_module_path).name} 的处理函数 {handler.handler_name} 时出现异常：{e}"
+                    event.set_result(MessageEventResult().message(ret))
+                    yield
+                    event.clear_result()
+
+                event.stop_event()

astrbot/core/pipeline/process_stage/stage.py

@@ -0,0 +1,68 @@
+from typing import List, Union, AsyncGenerator
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from .method.llm_request import LLMRequestSubStage
+from .method.star_request import StarRequestSubStage
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.star.star_handler import StarHandlerMetadata
+from astrbot.core.provider.entites import ProviderRequest
+from astrbot.core import logger
+
+
+@register_stage
+class ProcessStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        self.config = ctx.astrbot_config
+        self.plugin_manager = ctx.plugin_manager
+        self.llm_request_sub_stage = LLMRequestSubStage()
+        await self.llm_request_sub_stage.initialize(ctx)
+
+        self.star_request_sub_stage = StarRequestSubStage()
+        await self.star_request_sub_stage.initialize(ctx)
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        """处理事件"""
+        activated_handlers: List[StarHandlerMetadata] = event.get_extra(
+            "activated_handlers"
+        )
+        # 有插件 Handler 被激活
+        if activated_handlers:
+            async for resp in self.star_request_sub_stage.process(event):
+                # 生成器返回值处理
+                if isinstance(resp, ProviderRequest):
+                    # Handler 的 LLM 请求
+                    event.set_extra("provider_request", resp)
+                    _t = False
+                    async for _ in self.llm_request_sub_stage.process(event):
+                        _t = True
+                        yield
+                    if not _t:
+                        yield
+                else:
+                    yield
+
+        # 调用 LLM 相关请求
+        if not self.ctx.astrbot_config["provider_settings"].get("enable", True):
+            return
+
+        if (
+            not event._has_send_oper
+            and event.is_at_or_wake_command
+            and not event.call_llm
+        ):
+            # 是否有过发送操作 and 是否是被 @ 或者通过唤醒前缀
+            if (
+                event.get_result() and not event.get_result().is_stopped()
+            ) or not event.get_result():
+                # 事件没有终止传播
+                provider = self.ctx.plugin_manager.context.get_using_provider()
+
+                if not provider:
+                    logger.info("未找到可用的 LLM 提供商，请先前往配置服务提供商。")
+                    return
+
+                async for _ in self.llm_request_sub_stage.process(event):
+                    yield

astrbot/core/pipeline/rate_limit_check/stage.py

@@ -0,0 +1,101 @@
+import asyncio
+from datetime import datetime, timedelta
+from collections import defaultdict, deque
+from typing import DefaultDict, Deque, Union, AsyncGenerator
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core import logger
+from astrbot.core.config.astrbot_config import RateLimitStrategy
+
+
+@register_stage
+class RateLimitStage(Stage):
+    """
+    检查是否需要限制消息发送的限流器。
+
+    使用 Fixed Window 算法。
+    如果触发限流，将 stall 流水线，直到下一个时间窗口来临时自动唤醒。
+    """
+
+    def __init__(self):
+        # 存储每个会话的请求时间队列
+        self.event_timestamps: DefaultDict[str, Deque[datetime]] = defaultdict(deque)
+        # 为每个会话设置一个锁，避免并发冲突
+        self.locks: DefaultDict[str, asyncio.Lock] = defaultdict(asyncio.Lock)
+        # 限流参数
+        self.rate_limit_count: int = 0
+        self.rate_limit_time: timedelta = timedelta(0)
+
+    async def initialize(self, ctx: PipelineContext) -> None:
+        """
+        初始化限流器，根据配置设置限流参数。
+        """
+        self.rate_limit_count = ctx.astrbot_config["platform_settings"]["rate_limit"][
+            "count"
+        ]
+        self.rate_limit_time = timedelta(
+            seconds=ctx.astrbot_config["platform_settings"]["rate_limit"]["time"]
+        )
+        self.rl_strategy = ctx.astrbot_config["platform_settings"]["rate_limit"][
+            "strategy"
+        ]  # stall or discard
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        """
+        检查并处理限流逻辑。如果触发限流，流水线会 stall 并在窗口期后自动恢复。
+
+        Args:
+            event (AstrMessageEvent): 当前消息事件。
+            ctx (PipelineContext): 流水线上下文。
+
+        Returns:
+            MessageEventResult: 继续或停止事件处理的结果。
+        """
+        session_id = event.session_id
+        now = datetime.now()
+
+        async with self.locks[session_id]:  # 确保同一会话不会并发修改队列
+            timestamps = self.event_timestamps[session_id]
+
+            self._remove_expired_timestamps(timestamps, now)
+
+            if len(timestamps) >= self.rate_limit_count:
+                # 达到限流阈值，计算下一个窗口的时间
+                next_window_time = timestamps[0] + self.rate_limit_time
+                stall_duration = (next_window_time - now).total_seconds()
+
+                match self.rl_strategy:
+                    case RateLimitStrategy.STALL.value:
+                        logger.info(
+                            f"会话 {session_id} 被限流。根据限流策略，此会话处理将被暂停 {stall_duration:.2f} 秒。"
+                        )
+                        await asyncio.sleep(stall_duration)
+                    case RateLimitStrategy.DISCARD.value:
+                        # event.set_result(MessageEventResult().message(f"会话 {session_id} 被限流。根据限流策略，此请求已被丢弃，直到您的限额于 {stall_duration:.2f} 秒后重置。"))
+                        logger.info(
+                            f"会话 {session_id} 被限流。根据限流策略，此请求已被丢弃，直到限额于 {stall_duration:.2f} 秒后重置。"
+                        )
+                        return event.stop_event()
+
+                self._remove_expired_timestamps(
+                    timestamps, now + timedelta(seconds=stall_duration)
+                )
+
+            timestamps.append(now)
+
+    def _remove_expired_timestamps(
+        self, timestamps: Deque[datetime], now: datetime
+    ) -> None:
+        """
+        移除时间窗口外的时间戳。
+
+        Args:
+            timestamps (Deque[datetime]): 当前会话的时间戳队列。
+            now (datetime): 当前时间，用于计算过期时间。
+        """
+        expiry_threshold: datetime = now - self.rate_limit_time
+        while timestamps and timestamps[0] < expiry_threshold:
+            timestamps.popleft()

astrbot/core/pipeline/respond/stage.py

@@ -0,0 +1,139 @@
+import random
+import asyncio
+import math
+import traceback
+from typing import Union, AsyncGenerator
+from ..stage import register_stage, Stage
+from ..context import PipelineContext
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import MessageChain
+from astrbot.core import logger
+from astrbot.core.message.message_event_result import BaseMessageComponent
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star import star_map
+from astrbot.core.message.components import Plain, Reply, At
+
+
+@register_stage
+class RespondStage(Stage):
+    async def initialize(self, ctx: PipelineContext):
+        self.ctx = ctx
+
+        self.reply_with_mention = ctx.astrbot_config["platform_settings"][
+            "reply_with_mention"
+        ]
+        self.reply_with_quote = ctx.astrbot_config["platform_settings"][
+            "reply_with_quote"
+        ]
+
+        # 分段回复
+        self.enable_seg: bool = ctx.astrbot_config["platform_settings"][
+            "segmented_reply"
+        ]["enable"]
+        self.only_llm_result = ctx.astrbot_config["platform_settings"][
+            "segmented_reply"
+        ]["only_llm_result"]
+
+        self.interval_method = ctx.astrbot_config["platform_settings"][
+            "segmented_reply"
+        ]["interval_method"]
+        self.log_base = float(
+            ctx.astrbot_config["platform_settings"]["segmented_reply"]["log_base"]
+        )
+        interval_str: str = ctx.astrbot_config["platform_settings"]["segmented_reply"][
+            "interval"
+        ]
+        interval_str_ls = interval_str.replace(" ", "").split(",")
+        try:
+            self.interval = [float(t) for t in interval_str_ls]
+        except BaseException as e:
+            logger.error(f"解析分段回复的间隔时间失败。{e}")
+            self.interval = [1.5, 3.5]
+        logger.info(f"分段回复间隔时间：{self.interval}")
+
+    async def _word_cnt(self, text: str) -> int:
+        """分段回复 统计字数"""
+        if all(ord(c) < 128 for c in text):
+            word_count = len(text.split())
+        else:
+            word_count = len([c for c in text if c.isalnum()])
+        return word_count
+
+    async def _calc_comp_interval(self, comp: BaseMessageComponent) -> float:
+        """分段回复 计算间隔时间"""
+        if self.interval_method == "log":
+            if isinstance(comp, Plain):
+                wc = await self._word_cnt(comp.text)
+                i = math.log(wc + 1, self.log_base)
+                return random.uniform(i, i + 0.5)
+            else:
+                return random.uniform(1, 1.75)
+        else:
+            # random
+            return random.uniform(self.interval[0], self.interval[1])
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        result = event.get_result()
+        if result is None:
+            return
+
+        if len(result.chain) > 0:
+            await event._pre_send()
+
+            if self.enable_seg and (
+                (self.only_llm_result and result.is_llm_result())
+                or not self.only_llm_result
+            ):
+                decorated_comps = []
+                if self.reply_with_mention:
+                    for comp in result.chain:
+                        if isinstance(comp, At):
+                            decorated_comps.append(comp)
+                            result.chain.remove(comp)
+                            break
+                if self.reply_with_quote:
+                    for comp in result.chain:
+                        if isinstance(comp, Reply):
+                            decorated_comps.append(comp)
+                            result.chain.remove(comp)
+                            break
+                # 分段回复
+                for comp in result.chain:
+                    i = await self._calc_comp_interval(comp)
+                    await asyncio.sleep(i)
+                    try:
+                        await event.send(MessageChain([*decorated_comps, comp]))
+                    except Exception as e:
+                        logger.error(f"发送消息失败: {e} chain: {result.chain}")
+                        break
+            else:
+                try:
+                    await event.send(result)
+                except Exception as e:
+                    logger.error(f"发送消息失败: {e} chain: {result.chain}")
+            await event._post_send()
+            logger.info(
+                f"AstrBot -> {event.get_sender_name()}/{event.get_sender_id()}: {event._outline_chain(result.chain)}"
+            )
+
+        handlers = star_handlers_registry.get_handlers_by_event_type(
+            EventType.OnAfterMessageSentEvent
+        )
+        for handler in handlers:
+            try:
+                logger.debug(
+                    f"hook(on_after_message_sent) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+                )
+                await handler.handler(event)
+            except BaseException:
+                logger.error(traceback.format_exc())
+
+            if event.is_stopped():
+                logger.info(
+                    f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。"
+                )
+                return
+
+        event.clear_result()

astrbot/core/pipeline/result_decorate/stage.py

@@ -0,0 +1,242 @@
+import time
+import re
+import traceback
+from typing import Union, AsyncGenerator
+from ..stage import Stage, register_stage, registered_stages
+from ..context import PipelineContext
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.platform.message_type import MessageType
+from astrbot.core import logger
+from astrbot.core.message.components import Plain, Image, At, Reply, Record, File, Node
+from astrbot.core import html_renderer
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star import star_map
+
+
+@register_stage
+class ResultDecorateStage(Stage):
+    async def initialize(self, ctx: PipelineContext):
+        self.ctx = ctx
+        self.reply_prefix = ctx.astrbot_config["platform_settings"]["reply_prefix"]
+        self.reply_with_mention = ctx.astrbot_config["platform_settings"][
+            "reply_with_mention"
+        ]
+        self.reply_with_quote = ctx.astrbot_config["platform_settings"][
+            "reply_with_quote"
+        ]
+        self.t2i_word_threshold = ctx.astrbot_config["t2i_word_threshold"]
+        try:
+            self.t2i_word_threshold = int(self.t2i_word_threshold)
+            if self.t2i_word_threshold < 50:
+                self.t2i_word_threshold = 50
+        except BaseException:
+            self.t2i_word_threshold = 150
+        self.t2i_strategy = ctx.astrbot_config["t2i_strategy"]
+        self.t2i_use_network = self.t2i_strategy == "remote"
+
+        self.forward_threshold = ctx.astrbot_config["platform_settings"][
+            "forward_threshold"
+        ]
+
+        # 分段回复
+        self.words_count_threshold = int(
+            ctx.astrbot_config["platform_settings"]["segmented_reply"][
+                "words_count_threshold"
+            ]
+        )
+        self.enable_segmented_reply = ctx.astrbot_config["platform_settings"][
+            "segmented_reply"
+        ]["enable"]
+        self.only_llm_result = ctx.astrbot_config["platform_settings"][
+            "segmented_reply"
+        ]["only_llm_result"]
+        self.regex = ctx.astrbot_config["platform_settings"]["segmented_reply"]["regex"]
+        self.content_cleanup_rule = ctx.astrbot_config["platform_settings"][
+            "segmented_reply"
+        ]["content_cleanup_rule"]
+
+        # exception
+        self.content_safe_check_reply = ctx.astrbot_config["content_safety"][
+            "also_use_in_response"
+        ]
+        self.content_safe_check_stage = None
+        if self.content_safe_check_reply:
+            for stage in registered_stages:
+                if stage.__class__.__name__ == "ContentSafetyCheckStage":
+                    self.content_safe_check_stage = stage
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        result = event.get_result()
+        if result is None or not result.chain:
+            return
+
+        # 回复时检查内容安全
+        if (
+            self.content_safe_check_reply
+            and self.content_safe_check_stage
+            and result.is_llm_result()
+        ):
+            text = ""
+            for comp in result.chain:
+                if isinstance(comp, Plain):
+                    text += comp.text
+            async for _ in self.content_safe_check_stage.process(
+                event, check_text=text
+            ):
+                yield
+
+        # 发送消息前事件钩子
+        handlers = star_handlers_registry.get_handlers_by_event_type(
+            EventType.OnDecoratingResultEvent
+        )
+        for handler in handlers:
+            try:
+                logger.debug(
+                    f"hook(on_decorating_result) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+                )
+                await handler.handler(event)
+                if event.get_result() is None or not event.get_result().chain:
+                    logger.debug(
+                        f"hook(on_decorating_result) -> {star_map[handler.handler_module_path].name} - {handler.handler_name} 将消息结果清空。"
+                    )
+            except BaseException:
+                logger.error(traceback.format_exc())
+
+            if event.is_stopped():
+                logger.info(
+                    f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。"
+                )
+                return
+
+        # 需要再获取一次。插件可能直接对 chain 进行了替换。
+        result = event.get_result()
+        if result is None:
+            return
+
+        if len(result.chain) > 0:
+            # 回复前缀
+            if self.reply_prefix:
+                for comp in result.chain:
+                    if isinstance(comp, Plain):
+                        comp.text = self.reply_prefix + comp.text
+                        break
+
+            # 分段回复
+            if self.enable_segmented_reply:
+                if (
+                    self.only_llm_result and result.is_llm_result()
+                ) or not self.only_llm_result:
+                    new_chain = []
+                    for comp in result.chain:
+                        if isinstance(comp, Plain):
+                            if len(comp.text) > self.words_count_threshold:
+                                # 不分段回复
+                                new_chain.append(comp)
+                                continue
+                            split_response = []
+                            for line in comp.text.split("\n"):
+                                split_response.extend(re.findall(self.regex, line))
+                            if not split_response:
+                                new_chain.append(comp)
+                                continue
+                            for seg in split_response:
+                                if self.content_cleanup_rule:
+                                    seg = re.sub(self.content_cleanup_rule, "", seg)
+                                if seg.strip():
+                                    new_chain.append(Plain(seg))
+                        else:
+                            # 非 Plain 类型的消息段不分段
+                            new_chain.append(comp)
+                    result.chain = new_chain
+
+            # TTS
+            if (
+                self.ctx.astrbot_config["provider_tts_settings"]["enable"]
+                and result.is_llm_result()
+            ):
+                tts_provider = self.ctx.plugin_manager.context.provider_manager.curr_tts_provider_inst
+                new_chain = []
+                for comp in result.chain:
+                    if isinstance(comp, Plain) and len(comp.text) > 1:
+                        try:
+                            logger.info("TTS 请求: " + comp.text)
+                            audio_path = await tts_provider.get_audio(comp.text)
+                            logger.info("TTS 结果: " + audio_path)
+                            if audio_path:
+                                new_chain.append(
+                                    Record(file=audio_path, url=audio_path)
+                                )
+                            else:
+                                logger.error(
+                                    f"由于 TTS 音频文件没找到，消息段转语音失败: {comp.text}"
+                                )
+                                new_chain.append(comp)
+                        except BaseException:
+                            logger.error(traceback.format_exc())
+                            logger.error("TTS 失败，使用文本发送。")
+                            new_chain.append(comp)
+                    else:
+                        new_chain.append(comp)
+                result.chain = new_chain
+
+            # 文本转图片
+            elif (
+                result.use_t2i_ is None and self.ctx.astrbot_config["t2i"]
+            ) or result.use_t2i_:
+                plain_str = ""
+                for comp in result.chain:
+                    if isinstance(comp, Plain):
+                        plain_str += "\n\n" + comp.text
+                    else:
+                        break
+                if plain_str and len(plain_str) > self.t2i_word_threshold:
+                    render_start = time.time()
+                    try:
+                        url = await html_renderer.render_t2i(
+                            plain_str, return_url=True, use_network=self.t2i_use_network
+                        )
+                    except BaseException:
+                        logger.error("文本转图片失败，使用文本发送。")
+                        return
+                    if time.time() - render_start > 3:
+                        logger.warning(
+                            "文本转图片耗时超过了 3 秒，如果觉得很慢可以使用 /t2i 关闭文本转图片模式。"
+                        )
+                    if url:
+                        if url.startswith("http"):
+                            result.chain = [Image.fromURL(url)]
+                        else:
+                            result.chain = [Image.fromFileSystem(url)]
+
+            # 触发转发消息
+            has_forwarded = False
+            if event.get_platform_name() == "aiocqhttp":
+                word_cnt = 0
+                for comp in result.chain:
+                    if isinstance(comp, Plain):
+                        word_cnt += len(comp.text)
+                if word_cnt > self.forward_threshold:
+                    node = Node(
+                        uin=event.get_self_id(), name="AstrBot", content=[*result.chain]
+                    )
+                    result.chain = [node]
+                    has_forwarded = True
+
+            if not has_forwarded:
+                # at 回复
+                if (
+                    self.reply_with_mention
+                    and event.get_message_type() != MessageType.FRIEND_MESSAGE
+                ):
+                    result.chain.insert(
+                        0, At(qq=event.get_sender_id(), name=event.get_sender_name())
+                    )
+                    if len(result.chain) > 1 and isinstance(result.chain[1], Plain):
+                        result.chain[1].text = "\n" + result.chain[1].text
+
+                # 引用回复
+                if self.reply_with_quote:
+                    if not any(isinstance(item, File) for item in result.chain):
+                        result.chain.insert(0, Reply(id=event.message_obj.message_id))

astrbot/core/pipeline/scheduler.py

@@ -0,0 +1,56 @@
+from . import STAGES_ORDER
+from .stage import registered_stages
+from .context import PipelineContext
+from typing import AsyncGenerator
+from astrbot.core.platform import AstrMessageEvent
+from astrbot.core import logger
+
+
+class PipelineScheduler:
+    def __init__(self, context: PipelineContext):
+        registered_stages.sort(key=lambda x: STAGES_ORDER.index(x.__class__.__name__))
+        self.ctx = context
+
+    async def initialize(self):
+        for stage in registered_stages:
+            # logger.debug(f"初始化阶段 {stage.__class__ .__name__}")
+
+            await stage.initialize(self.ctx)
+
+    async def _process_stages(self, event: AstrMessageEvent, from_stage=0):
+        for i in range(from_stage, len(registered_stages)):
+            stage = registered_stages[i]
+            # logger.debug(f"执行阶段 {stage.__class__ .__name__}")
+            coro = stage.process(event)
+            if isinstance(coro, AsyncGenerator):
+                async for _ in coro:
+                    if event.is_stopped():
+                        logger.debug(
+                            f"阶段 {stage.__class__.__name__} 已终止事件传播。"
+                        )
+                        break
+                    await self._process_stages(event, i + 1)
+                    if event.is_stopped():
+                        logger.debug(
+                            f"阶段 {stage.__class__.__name__} 已终止事件传播。"
+                        )
+                        break
+            else:
+                await coro
+
+                if event.is_stopped():
+                    logger.debug(f"阶段 {stage.__class__.__name__} 已终止事件传播。")
+                    break
+
+            if event.is_stopped():
+                logger.debug(f"阶段 {stage.__class__.__name__} 已终止事件传播。")
+                break
+
+    async def execute(self, event: AstrMessageEvent):
+        """执行 pipeline"""
+        await self._process_stages(event)
+
+        if not event._has_send_oper and event.get_platform_name() == "webchat":
+            await event.send(None)
+
+        logger.debug("pipeline 执行完毕。")

astrbot/core/pipeline/stage.py

@@ -0,0 +1,80 @@
+from __future__ import annotations
+import abc
+import inspect
+import traceback
+from astrbot.api import logger
+from typing import List, AsyncGenerator, Union, Awaitable
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from .context import PipelineContext
+from astrbot.core.message.message_event_result import MessageEventResult, CommandResult
+
+registered_stages: List[Stage] = []
+"""维护了所有已注册的 Stage 实现类"""
+
+
+def register_stage(cls):
+    """一个简单的装饰器，用于注册 pipeline 包下的 Stage 实现类"""
+    registered_stages.append(cls())
+    return cls
+
+
+class Stage(abc.ABC):
+    """描述一个 Pipeline 的某个阶段"""
+
+    @abc.abstractmethod
+    async def initialize(self, ctx: PipelineContext) -> None:
+        """初始化阶段"""
+        raise NotImplementedError
+
+    @abc.abstractmethod
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        """处理事件"""
+        raise NotImplementedError
+
+    async def _call_handler(
+        self,
+        ctx: PipelineContext,
+        event: AstrMessageEvent,
+        handler: Awaitable,
+        *args,
+        **kwargs,
+    ) -> AsyncGenerator[None, None]:
+        """调用 Handler。"""
+        # 判断 handler 是否是类方法（通过装饰器注册的没有 __self__ 属性）
+        ready_to_call = None
+
+        trace_ = None
+
+        try:
+            ready_to_call = handler(event, *args, **kwargs)
+        except TypeError as _:
+            # 向下兼容
+            trace_ = traceback.format_exc()
+            ready_to_call = handler(event, ctx.plugin_manager.context, *args, **kwargs)
+
+        if isinstance(ready_to_call, AsyncGenerator):
+            _has_yielded = False
+            try:
+                async for ret in ready_to_call:
+                    # 如果处理函数是生成器，返回值只能是 MessageEventResult 或者 None（无返回值）
+                    _has_yielded = True
+                    if isinstance(ret, (MessageEventResult, CommandResult)):
+                        event.set_result(ret)
+                        yield
+                    else:
+                        yield ret
+                if not _has_yielded:
+                    yield
+            except Exception as e:
+                logger.error(f"Previous Error: {trace_}")
+                raise e
+        elif inspect.iscoroutine(ready_to_call):
+            # 如果只是一个 coroutine
+            ret = await ready_to_call
+            if isinstance(ret, (MessageEventResult, CommandResult)):
+                event.set_result(ret)
+                yield
+            else:
+                yield ret

astrbot/core/pipeline/waking_check/stage.py

@@ -0,0 +1,140 @@
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from typing import Union, AsyncGenerator
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import MessageEventResult, MessageChain
+from astrbot.core.message.components import At
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star import star_map
+from astrbot.core.star.filter.permission import PermissionTypeFilter
+
+
+@register_stage
+class WakingCheckStage(Stage):
+    """检查是否需要唤醒。唤醒机器人有如下几点条件：
+
+    1. 机器人被 @ 了
+    2. 机器人的消息被提到了
+    3. 以 wake_prefix 前缀开头，并且消息没有以 At 消息段开头
+    4. 插件（Star）的 handler filter 通过
+    5. 私聊情况下，位于 admins_id 列表中的管理员的消息（在白名单阶段中）
+    """
+
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        self.no_permission_reply = self.ctx.astrbot_config["platform_settings"].get(
+            "no_permission_reply", True
+        )
+        # 私聊是否需要 wake_prefix 才能唤醒机器人
+        self.friend_message_needs_wake_prefix = self.ctx.astrbot_config[
+            "platform_settings"
+        ].get("friend_message_needs_wake_prefix", False)
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        # 设置 sender 身份
+        event.message_str = event.message_str.strip()
+        for admin_id in self.ctx.astrbot_config["admins_id"]:
+            if str(event.get_sender_id()) == admin_id:
+                event.role = "admin"
+                break
+
+        # 检查 wake
+        wake_prefixes = self.ctx.astrbot_config["wake_prefix"]
+        messages = event.get_messages()
+        is_wake = False
+        for wake_prefix in wake_prefixes:
+            if event.message_str.startswith(wake_prefix):
+                if (
+                    not event.is_private_chat()
+                    and isinstance(messages[0], At)
+                    and str(messages[0].qq) != str(event.get_self_id())
+                    and str(messages[0].qq) != "all"
+                ):
+                    # 如果是群聊，且第一个消息段是 At 消息，但不是 At 机器人或 At 全体成员，则不唤醒
+                    break
+                is_wake = True
+                event.is_at_or_wake_command = True
+                event.is_wake = True
+                event.message_str = event.message_str[len(wake_prefix) :].strip()
+                break
+        if not is_wake:
+            # 检查是否有 at 消息
+            for message in messages:
+                if isinstance(message, At) and (
+                    str(message.qq) == str(event.get_self_id())
+                    or str(message.qq) == "all"
+                ):
+                    is_wake = True
+                    event.is_wake = True
+                    wake_prefix = ""
+                    event.is_at_or_wake_command = True
+                    break
+            # 检查是否是私聊
+            if event.is_private_chat() and not self.friend_message_needs_wake_prefix:
+                is_wake = True
+                event.is_wake = True
+                event.is_at_or_wake_command = True
+                wake_prefix = ""
+
+        # 检查插件的 handler filter
+        activated_handlers = []
+        handlers_parsed_params = {}  # 注册了指令的 handler
+
+        for handler in star_handlers_registry.get_handlers_by_event_type(
+            EventType.AdapterMessageEvent
+        ):
+            # filter 需满足 AND 逻辑关系
+            passed = True
+            permission_not_pass = False
+            if len(handler.event_filters) == 0:
+                continue
+
+            for filter in handler.event_filters:
+                try:
+                    if isinstance(filter, PermissionTypeFilter):
+                        if not filter.filter(event, self.ctx.astrbot_config):
+                            permission_not_pass = True
+                    else:
+                        if not filter.filter(event, self.ctx.astrbot_config):
+                            passed = False
+                            break
+                except Exception as e:
+                    await event.send(
+                        MessageEventResult().message(
+                            f"插件 {star_map[handler.handler_module_path].name}: {e}"
+                        )
+                    )
+                    await event._post_send()
+                    event.stop_event()
+                    passed = False
+                    break
+            if passed:
+                if permission_not_pass:
+                    if self.no_permission_reply:
+                        await event.send(
+                            MessageChain().message(
+                                f"ID {event.get_sender_id()} 权限不足。通过 /sid 获取 ID 并请管理员添加。"
+                            )
+                        )
+                        await event._post_send()
+                    event.stop_event()
+                    return
+
+                is_wake = True
+                event.is_wake = True
+
+                activated_handlers.append(handler)
+                if "parsed_params" in event.get_extra():
+                    handlers_parsed_params[handler.handler_full_name] = event.get_extra(
+                        "parsed_params"
+                    )
+
+            event.clear_extra()
+
+        event.set_extra("activated_handlers", activated_handlers)
+        event.set_extra("handlers_parsed_params", handlers_parsed_params)
+
+        if not is_wake:
+            event.stop_event()

astrbot/core/pipeline/whitelist_check/stage.py

@@ -0,0 +1,62 @@
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from typing import AsyncGenerator, Union
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.platform.message_type import MessageType
+from astrbot.core import logger
+
+
+@register_stage
+class WhitelistCheckStage(Stage):
+    """检查是否在群聊/私聊白名单"""
+
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.enable_whitelist_check = ctx.astrbot_config["platform_settings"][
+            "enable_id_white_list"
+        ]
+        self.whitelist = ctx.astrbot_config["platform_settings"]["id_whitelist"]
+        self.wl_ignore_admin_on_group = ctx.astrbot_config["platform_settings"][
+            "wl_ignore_admin_on_group"
+        ]
+        self.wl_ignore_admin_on_friend = ctx.astrbot_config["platform_settings"][
+            "wl_ignore_admin_on_friend"
+        ]
+        self.wl_log = ctx.astrbot_config["platform_settings"]["id_whitelist_log"]
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        if not self.enable_whitelist_check:
+            # 白名单检查未启用
+            return
+
+        if len(self.whitelist) == 0:
+            # 白名单为空，不检查
+            return
+
+        if event.get_platform_name() == "webchat":
+            # WebChat 豁免
+            return
+
+        # 检查是否在白名单
+        if self.wl_ignore_admin_on_group:
+            if (
+                event.role == "admin"
+                and event.get_message_type() == MessageType.GROUP_MESSAGE
+            ):
+                return
+        if self.wl_ignore_admin_on_friend:
+            if (
+                event.role == "admin"
+                and event.get_message_type() == MessageType.FRIEND_MESSAGE
+            ):
+                return
+        if (
+            event.unified_msg_origin not in self.whitelist
+            and event.get_group_id() not in self.whitelist
+        ):
+            if self.wl_log:
+                logger.info(
+                    f"会话 ID {event.unified_msg_origin} 不在会话白名单中，已终止事件传播。请在配置文件中添加该会话 ID 到白名单。"
+                )
+            event.stop_event()

astrbot/core/platform/__init__.py

@@ -0,0 +1,14 @@
+from .platform import Platform
+from .astr_message_event import AstrMessageEvent
+from .platform_metadata import PlatformMetadata
+from .astrbot_message import AstrBotMessage, MessageMember, MessageType, Group
+
+__all__ = [
+    "Platform",
+    "AstrMessageEvent",
+    "PlatformMetadata",
+    "AstrBotMessage",
+    "MessageMember",
+    "MessageType",
+    "Group",
+]

astrbot/core/platform/astr_message_event.py

@@ -0,0 +1,388 @@
+import abc
+import asyncio
+from dataclasses import dataclass
+from typing import List, Union, Optional
+
+from astrbot.core.db.po import Conversation
+from astrbot.core.message.components import (
+    Plain,
+    Image,
+    BaseMessageComponent,
+    Face,
+    At,
+    AtAll,
+    Forward,
+    Reply,
+)
+from astrbot.core.message.message_event_result import MessageEventResult, MessageChain
+from astrbot.core.platform.message_type import MessageType
+from astrbot.core.provider.entites import ProviderRequest
+from astrbot.core.utils.metrics import Metric
+from .astrbot_message import AstrBotMessage, Group
+from .platform_metadata import PlatformMetadata
+
+
+@dataclass
+class MessageSesion:
+    platform_name: str
+    message_type: MessageType
+    session_id: str
+
+    def __str__(self):
+        return f"{self.platform_name}:{self.message_type.value}:{self.session_id}"
+
+    @staticmethod
+    def from_str(session_str: str):
+        platform_name, message_type, session_id = session_str.split(":")
+        return MessageSesion(platform_name, MessageType(message_type), session_id)
+
+
+class AstrMessageEvent(abc.ABC):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+    ):
+        self.message_str = message_str
+        """纯文本的消息"""
+        self.message_obj = message_obj
+        """消息对象, AstrBotMessage。带有完整的消息结构。"""
+        self.platform_meta = platform_meta
+        """消息平台的信息, 其中 name 是平台的类型，如 aiocqhttp"""
+        self.session_id = session_id
+        """用户的会话 ID。可以直接使用下面的 unified_msg_origin"""
+        self.role = "member"
+        """用户是否是管理员。如果是管理员，这里是 admin"""
+        self.is_wake = False
+        """是否唤醒(是否通过 WakingStage)"""
+        self.is_at_or_wake_command = False
+        """是否是 At 机器人或者带有唤醒词或者是私聊(插件注册的事件监听器会让 is_wake 设为 True, 但是不会让这个属性置为 True)"""
+        self._extras = {}
+        self.session = MessageSesion(
+            platform_name=platform_meta.name,
+            message_type=message_obj.type,
+            session_id=session_id,
+        )
+        self.unified_msg_origin = str(self.session)
+        """统一的消息来源字符串。格式为 platform_name:message_type:session_id"""
+        self._result: MessageEventResult = None
+        """消息事件的结果"""
+
+        self._has_send_oper = False
+        """在此次事件中是否有过至少一次发送消息的操作"""
+        self.call_llm = False
+        """是否在此消息事件中禁止默认的 LLM 请求"""
+
+        # back_compability
+        self.platform = platform_meta
+
+    def get_platform_name(self):
+        return self.platform_meta.name
+
+    def get_message_str(self) -> str:
+        """
+        获取消息字符串。
+        """
+        return self.message_str
+
+    def _outline_chain(self, chain: List[BaseMessageComponent]) -> str:
+        outline = ""
+        for i in chain:
+            if isinstance(i, Plain):
+                outline += i.text
+            elif isinstance(i, Image):
+                outline += "[图片]"
+            elif isinstance(i, Face):
+                outline += f"[表情:{i.id}]"
+            elif isinstance(i, At):
+                outline += f"[At:{i.qq}]"
+            elif isinstance(i, AtAll):
+                outline += "[At:全体成员]"
+            elif isinstance(i, Forward):
+                # 转发消息
+                outline += "[转发消息]"
+            elif isinstance(i, Reply):
+                # 引用回复
+                if i.message_str:
+                    outline += f"[引用消息({i.sender_nickname}: {i.message_str})]"
+                else:
+                    outline += "[引用消息]"
+            else:
+                outline += f"[{i.type}]"
+            outline += " "
+        return outline
+
+    def get_message_outline(self) -> str:
+        """
+        获取消息概要。
+
+        除了文本消息外，其他消息类型会被转换为对应的占位符。如图片消息会被转换为 [图片]。
+        """
+        return self._outline_chain(self.message_obj.message)
+
+    def get_messages(self) -> List[BaseMessageComponent]:
+        """
+        获取消息链。
+        """
+        return self.message_obj.message
+
+    def get_message_type(self) -> MessageType:
+        """
+        获取消息类型。
+        """
+        return self.message_obj.type
+
+    def get_session_id(self) -> str:
+        """
+        获取会话id。
+        """
+        return self.session_id
+
+    def get_group_id(self) -> str:
+        """
+        获取群组id。如果不是群组消息，返回空字符串。
+        """
+        return self.message_obj.group_id
+
+    def get_self_id(self) -> str:
+        """
+        获取机器人自身的id。
+        """
+        return self.message_obj.self_id
+
+    def get_sender_id(self) -> str:
+        """
+        获取消息发送者的id。
+        """
+        return self.message_obj.sender.user_id
+
+    def get_sender_name(self) -> str:
+        """
+        获取消息发送者的名称。(可能会返回空字符串)
+        """
+        return self.message_obj.sender.nickname
+
+    def set_extra(self, key, value):
+        """
+        设置额外的信息。
+        """
+        self._extras[key] = value
+
+    def get_extra(self, key=None):
+        """
+        获取额外的信息。
+        """
+        if key is None:
+            return self._extras
+        return self._extras.get(key, None)
+
+    def clear_extra(self):
+        """
+        清除额外的信息。
+        """
+        self._extras.clear()
+
+    def is_private_chat(self) -> bool:
+        """
+        是否是私聊。
+        """
+        return self.message_obj.type.value == (MessageType.FRIEND_MESSAGE).value
+
+    def is_wake_up(self) -> bool:
+        """
+        是否是唤醒机器人的事件。
+        """
+        return self.is_wake
+
+    def is_admin(self) -> bool:
+        """
+        是否是管理员。
+        """
+        return self.role == "admin"
+
+    async def _pre_send(self):
+        """调度器会在执行 send() 前调用该方法"""
+
+    async def _post_send(self):
+        """调度器会在执行 send() 后调用该方法"""
+
+    def set_result(self, result: Union[MessageEventResult, str]):
+        """设置消息事件的结果。
+
+        Note:
+            事件处理器可以通过设置结果来控制事件是否继续传播，并向消息适配器发送消息。
+
+            如果没有设置 `MessageEventResult` 中的 result_type，默认为 CONTINUE。即事件将会继续向后面的 listener 或者 command 传播。
+
+        Example:
+        ```
+        async def ban_handler(self, event: AstrMessageEvent):
+            if event.get_sender_id() in self.blacklist:
+                event.set_result(MessageEventResult().set_console_log("由于用户在黑名单，因此消息事件中断处理。")).set_result_type(EventResultType.STOP)
+                return
+
+        async def check_count(self, event: AstrMessageEvent):
+            self.count += 1
+            event.set_result(MessageEventResult().set_console_log("数量已增加", logging.DEBUG).set_result_type(EventResultType.CONTINUE))
+            return
+        ```
+        """
+        if isinstance(result, str):
+            result = MessageEventResult().message(result)
+        self._result = result
+
+    def stop_event(self):
+        """终止事件传播。"""
+        if self._result is None:
+            self.set_result(MessageEventResult().stop_event())
+        else:
+            self._result.stop_event()
+
+    def continue_event(self):
+        """继续事件传播。"""
+        if self._result is None:
+            self.set_result(MessageEventResult().continue_event())
+        else:
+            self._result.continue_event()
+
+    def is_stopped(self) -> bool:
+        """
+        是否终止事件传播。
+        """
+        if self._result is None:
+            return False  # 默认是继续传播
+        return self._result.is_stopped()
+
+    def should_call_llm(self, call_llm: bool):
+        """
+        是否在此消息事件中禁止默认的 LLM 请求。
+
+        只会阻止 AstrBot 默认的 LLM 请求链路，不会阻止插件中的 LLM 请求。
+        """
+        self.call_llm = call_llm
+
+    def get_result(self) -> MessageEventResult:
+        """
+        获取消息事件的结果。
+        """
+        return self._result
+
+    def clear_result(self):
+        """
+        清除消息事件的结果。
+        """
+        self._result = None
+
+    """消息链相关"""
+
+    def make_result(self) -> MessageEventResult:
+        """
+        创建一个空的消息事件结果。
+
+        Example:
+
+        ```python
+        # 纯文本回复
+        yield event.make_result().message("Hi")
+        # 发送图片
+        yield event.make_result().url_image("https://example.com/image.jpg")
+        yield event.make_result().file_image("image.jpg")
+        ```
+        """
+        return MessageEventResult()
+
+    def plain_result(self, text: str) -> MessageEventResult:
+        """
+        创建一个空的消息事件结果，只包含一条文本消息。
+        """
+        return MessageEventResult().message(text)
+
+    def image_result(self, url_or_path: str) -> MessageEventResult:
+        """
+        创建一个空的消息事件结果，只包含一条图片消息。
+
+        根据开头是否包含 http 来判断是网络图片还是本地图片。
+        """
+        if url_or_path.startswith("http"):
+            return MessageEventResult().url_image(url_or_path)
+        return MessageEventResult().file_image(url_or_path)
+
+    def chain_result(self, chain: List[BaseMessageComponent]) -> MessageEventResult:
+        """
+        创建一个空的消息事件结果，包含指定的消息链。
+        """
+        mer = MessageEventResult()
+        mer.chain = chain
+        return mer
+
+    """LLM 请求相关"""
+
+    def request_llm(
+        self,
+        prompt: str,
+        func_tool_manager=None,
+        session_id: str = None,
+        image_urls: List[str] = [],
+        contexts: List = [],
+        system_prompt: str = "",
+        conversation: Conversation = None,
+    ) -> ProviderRequest:
+        """
+        创建一个 LLM 请求。
+
+        Examples:
+        ```py
+        yield event.request_llm(prompt="hi")
+        ```
+        prompt: 提示词
+
+        system_prompt: 系统提示词
+
+        session_id: 已经过时，留空即可
+
+        image_urls: 可以是 base64:// 或者 http:// 开头的图片链接，也可以是本地图片路径。
+
+        contexts: 当指定 contexts 时，将会使用 contexts 作为上下文。如果同时传入了 conversation，将会忽略 conversation。
+
+        func_tool_manager: 函数工具管理器，用于调用函数工具。用 self.context.get_llm_tool_manager() 获取。
+
+        conversation: 可选。如果指定，将在指定的对话中进行 LLM 请求。对话的人格会被用于 LLM 请求，并且结果将会被记录到对话中。
+        """
+
+        if len(contexts) > 0 and conversation:
+            conversation = None
+
+        return ProviderRequest(
+            prompt=prompt,
+            session_id=session_id,
+            image_urls=image_urls,
+            func_tool=func_tool_manager,
+            contexts=contexts,
+            system_prompt=system_prompt,
+            conversation=conversation,
+        )
+
+    """平台适配器"""
+
+    async def send(self, message: MessageChain):
+        """发送消息到消息平台。
+
+        Args:
+            message (MessageChain): 消息链，具体使用方式请参考文档。
+        """
+        asyncio.create_task(
+            Metric.upload(msg_event_tick=1, adapter_name=self.platform_meta.name)
+        )
+        self._has_send_oper = True
+
+    async def get_group(self, group_id: str = None, **kwargs) -> Optional[Group]:
+        """获取一个群聊的数据, 如果不填写 group_id: 如果是私聊消息，返回 None。如果是群聊消息，返回当前群聊的数据。
+
+        适配情况:
+
+        - gewechat
+        - aiocqhttp(OneBotv11)
+        """
+        ...

astrbot/core/platform/astrbot_message.py

@@ -0,0 +1,69 @@
+import time
+from typing import List
+from dataclasses import dataclass
+from astrbot.core.message.components import BaseMessageComponent
+from .message_type import MessageType
+
+
+@dataclass
+class MessageMember:
+    user_id: str  # 发送者id
+    nickname: str = None
+
+    def __str__(self):
+        # 使用 f-string 来构建返回的字符串表示形式
+        return (
+            f"User ID: {self.user_id},"
+            f"Nickname: {self.nickname if self.nickname else 'N/A'}"
+        )
+
+
+@dataclass
+class Group:
+    group_id: str
+    """群号"""
+    group_name: str = None
+    """群名称"""
+    group_avatar: str = None
+    """群头像"""
+    group_owner: str = None
+    """群主 id"""
+    group_admins: List[str] = None
+    """群管理员 id"""
+    members: List[MessageMember] = None
+    """所有群成员"""
+
+    def __str__(self):
+        # 使用 f-string 来构建返回的字符串表示形式
+        return (
+            f"Group ID: {self.group_id}\n"
+            f"Name: {self.group_name if self.group_name else 'N/A'}\n"
+            f"Avatar: {self.group_avatar if self.group_avatar else 'N/A'}\n"
+            f"Owner ID: {self.group_owner if self.group_owner else 'N/A'}\n"
+            f"Admin IDs: {self.group_admins if self.group_admins else 'N/A'}\n"
+            f"Members Len: {len(self.members) if self.members else 0}\n"
+            f"First Member: {self.members[0] if self.members else 'N/A'}\n"
+        )
+
+
+class AstrBotMessage:
+    """
+    AstrBot 的消息对象
+    """
+
+    type: MessageType  # 消息类型
+    self_id: str  # 机器人的识别id
+    session_id: str  # 会话id。取决于 unique_session 的设置。
+    message_id: str  # 消息id
+    group_id: str = ""  # 群组id，如果为私聊，则为空
+    sender: MessageMember  # 发送者
+    message: List[BaseMessageComponent]  # 消息链使用 Nakuru 的消息链格式
+    message_str: str  # 最直观的纯文本消息字符串
+    raw_message: object
+    timestamp: int  # 消息时间戳
+
+    def __init__(self) -> None:
+        self.timestamp = int(time.time())
+
+    def __str__(self) -> str:
+        return str(self.__dict__)

astrbot/core/platform/manager.py

@@ -0,0 +1,154 @@
+import traceback
+import asyncio
+from astrbot.core.config.astrbot_config import AstrBotConfig
+from .platform import Platform
+from typing import List
+from asyncio import Queue
+from .register import platform_cls_map
+from astrbot.core import logger
+from .sources.webchat.webchat_adapter import WebChatAdapter
+
+
+class PlatformManager:
+    def __init__(self, config: AstrBotConfig, event_queue: Queue):
+        self.platform_insts: List[Platform] = []
+        """加载的 Platform 的实例"""
+
+        self._inst_map = {}
+
+        self.platforms_config = config["platform"]
+        self.settings = config["platform_settings"]
+        self.event_queue = event_queue
+
+    async def initialize(self):
+        """初始化所有平台适配器"""
+        for platform in self.platforms_config:
+            try:
+                await self.load_platform(platform)
+            except Exception as e:
+                logger.error(f"初始化 {platform} 平台适配器失败: {e}")
+
+        # 网页聊天
+        webchat_inst = WebChatAdapter({}, self.settings, self.event_queue)
+        self.platform_insts.append(webchat_inst)
+        asyncio.create_task(
+            self._task_wrapper(asyncio.create_task(webchat_inst.run(), name="webchat"))
+        )
+
+    async def load_platform(self, platform_config: dict):
+        """实例化一个平台"""
+        # 动态导入
+        try:
+            if not platform_config["enable"]:
+                return
+
+            logger.info(
+                f"载入 {platform_config['type']}({platform_config['id']}) 平台适配器 ..."
+            )
+            match platform_config["type"]:
+                case "aiocqhttp":
+                    from .sources.aiocqhttp.aiocqhttp_platform_adapter import (
+                        AiocqhttpAdapter,  # noqa: F401
+                    )
+                case "qq_official":
+                    from .sources.qqofficial.qqofficial_platform_adapter import (
+                        QQOfficialPlatformAdapter,  # noqa: F401
+                    )
+                case "qq_official_webhook":
+                    from .sources.qqofficial_webhook.qo_webhook_adapter import (
+                        QQOfficialWebhookPlatformAdapter,  # noqa: F401
+                    )
+                case "gewechat":
+                    from .sources.gewechat.gewechat_platform_adapter import (
+                        GewechatPlatformAdapter,  # noqa: F401
+                    )
+                case "lark":
+                    from .sources.lark.lark_adapter import LarkPlatformAdapter  # noqa: F401
+                case "dingtalk":
+                    from .sources.dingtalk.dingtalk_adapter import (
+                        DingtalkPlatformAdapter,  # noqa: F401
+                    )
+                case "telegram":
+                    from .sources.telegram.tg_adapter import TelegramPlatformAdapter  # noqa: F401
+                case "wecom":
+                    from .sources.wecom.wecom_adapter import WecomPlatformAdapter  # noqa: F401
+        except (ImportError, ModuleNotFoundError) as e:
+            logger.error(
+                f"加载平台适配器 {platform_config['type']} 失败，原因：{e}。请检查依赖库是否安装。提示：可以在 管理面板->控制台->安装Pip库 中安装依赖库。"
+            )
+        except Exception as e:
+            logger.error(f"加载平台适配器 {platform_config['type']} 失败，原因：{e}。")
+
+        if platform_config["type"] not in platform_cls_map:
+            logger.error(
+                f"未找到适用于 {platform_config['type']}({platform_config['id']}) 平台适配器，请检查是否已经安装或者名称填写错误"
+            )
+            return
+        cls_type = platform_cls_map[platform_config["type"]]
+        inst: Platform = cls_type(platform_config, self.settings, self.event_queue)
+        self._inst_map[platform_config["id"]] = {
+            "inst": inst,
+            "client_id": inst.client_self_id,
+        }
+        self.platform_insts.append(inst)
+
+        asyncio.create_task(
+            self._task_wrapper(
+                asyncio.create_task(
+                    inst.run(),
+                    name=f"platform_{platform_config['type']}_{platform_config['id']}",
+                )
+            )
+        )
+
+    async def _task_wrapper(self, task: asyncio.Task):
+        try:
+            await task
+        except asyncio.CancelledError:
+            pass
+        except Exception as e:
+            logger.error(f"------- 任务 {task.get_name()} 发生错误: {e}")
+            for line in traceback.format_exc().split("\n"):
+                logger.error(f"|    {line}")
+            logger.error("-------")
+
+    async def reload(self, platform_config: dict):
+        await self.terminate_platform(platform_config["id"])
+        if platform_config["enable"]:
+            await self.load_platform(platform_config)
+
+        # 和配置文件保持同步
+        config_ids = [provider["id"] for provider in self.platforms_config]
+        for key in list(self._inst_map.keys()):
+            if key not in config_ids:
+                await self.terminate_platform(key)
+
+    async def terminate_platform(self, platform_id: str):
+        if platform_id in self._inst_map:
+            logger.info(f"正在尝试终止 {platform_id} 平台适配器 ...")
+
+            # client_id = self._inst_map.pop(platform_id, None)
+            info = self._inst_map.pop(platform_id, None)
+            client_id = info["client_id"]
+            inst = info["inst"]
+            try:
+                self.platform_insts.remove(
+                    next(
+                        inst
+                        for inst in self.platform_insts
+                        if inst.client_self_id == client_id
+                    )
+                )
+            except Exception:
+                logger.warning(f"可能未完全移除 {platform_id} 平台适配器")
+
+            if getattr(inst, "terminate", None):
+                await inst.terminate()
+
+    async def terminate(self):
+        for inst in self.platform_insts:
+            if getattr(inst, "terminate", None):
+                await inst.terminate()
+
+    def get_insts(self):
+        return self.platform_insts

astrbot/core/platform/message_type.py

@@ -0,0 +1,7 @@
+from enum import Enum
+
+
+class MessageType(Enum):
+    GROUP_MESSAGE = "GroupMessage"  # 群组形式的消息
+    FRIEND_MESSAGE = "FriendMessage"  # 私聊、好友等单聊消息
+    OTHER_MESSAGE = "OtherMessage"  # 其他类型的消息，如系统消息等

astrbot/core/platform/platform.py

@@ -0,0 +1,59 @@
+import abc
+import uuid
+from typing import Awaitable, Any
+from asyncio import Queue
+from .platform_metadata import PlatformMetadata
+from .astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import MessageChain
+from .astr_message_event import MessageSesion
+from astrbot.core.utils.metrics import Metric
+
+
+class Platform(abc.ABC):
+    def __init__(self, event_queue: Queue):
+        super().__init__()
+        # 维护了消息平台的事件队列，EventBus 会从这里取出事件并处理。
+        self._event_queue = event_queue
+        self.client_self_id = uuid.uuid4().hex
+
+    @abc.abstractmethod
+    def run(self) -> Awaitable[Any]:
+        """
+        得到一个平台的运行实例，需要返回一个协程对象。
+        """
+        raise NotImplementedError
+
+    async def terminate(self):
+        """
+        终止一个平台的运行实例。
+        """
+        ...
+
+    @abc.abstractmethod
+    def meta(self) -> PlatformMetadata:
+        """
+        得到一个平台的元数据。
+        """
+        raise NotImplementedError
+
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ) -> Awaitable[Any]:
+        """
+        通过会话发送消息。该方法旨在让插件能够直接通过**可持久化的会话数据**发送消息，而不需要保存 event 对象。
+
+        异步方法。
+        """
+        await Metric.upload(msg_event_tick=1, adapter_name=self.meta().name)
+
+    def commit_event(self, event: AstrMessageEvent):
+        """
+        提交一个事件到事件队列。
+        """
+        self._event_queue.put_nowait(event)
+
+    def get_client(self):
+        """
+        获取平台的客户端对象。
+        """
+        pass

astrbot/core/platform/platform_metadata.py

@@ -0,0 +1,14 @@
+from dataclasses import dataclass
+
+
+@dataclass
+class PlatformMetadata:
+    name: str
+    """平台的名称"""
+    description: str
+    """平台的描述"""
+
+    default_config_tmpl: dict = None
+    """平台的默认配置模板"""
+    adapter_display_name: str = None
+    """显示在 WebUI 配置页中的平台名称，如空则是 name"""

astrbot/core/platform/register.py

@@ -0,0 +1,48 @@
+from typing import List, Dict, Type
+from .platform_metadata import PlatformMetadata
+from astrbot.core import logger
+
+platform_registry: List[PlatformMetadata] = []
+"""维护了通过装饰器注册的平台适配器"""
+platform_cls_map: Dict[str, Type] = {}
+"""维护了平台适配器名称和适配器类的映射"""
+
+
+def register_platform_adapter(
+    adapter_name: str,
+    desc: str,
+    default_config_tmpl: dict = None,
+    adapter_display_name: str = None,
+):
+    """用于注册平台适配器的带参装饰器。
+
+    default_config_tmpl 指定了平台适配器的默认配置模板。用户填写好后将会作为 platform_config 传入你的 Platform 类的实现类。
+    """
+
+    def decorator(cls):
+        if adapter_name in platform_cls_map:
+            raise ValueError(
+                f"平台适配器 {adapter_name} 已经注册过了，可能发生了适配器命名冲突。"
+            )
+
+        # 添加必备选项
+        if default_config_tmpl:
+            if "type" not in default_config_tmpl:
+                default_config_tmpl["type"] = adapter_name
+            if "enable" not in default_config_tmpl:
+                default_config_tmpl["enable"] = False
+            if "id" not in default_config_tmpl:
+                default_config_tmpl["id"] = adapter_name
+
+        pm = PlatformMetadata(
+            name=adapter_name,
+            description=desc,
+            default_config_tmpl=default_config_tmpl,
+            adapter_display_name=adapter_display_name,
+        )
+        platform_registry.append(pm)
+        platform_cls_map[adapter_name] = cls
+        logger.debug(f"平台适配器 {adapter_name} 已注册")
+        return cls
+
+    return decorator

astrbot/core/platform/sources/aiocqhttp/aiocqhttp_message_event.py

@@ -0,0 +1,120 @@
+import asyncio
+import typing
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.platform import Group, MessageMember
+from astrbot.api.message_components import Plain, Image, Record, At, Node, Nodes
+from aiocqhttp import CQHttp
+
+
+class AiocqhttpMessageEvent(AstrMessageEvent):
+    def __init__(
+        self, message_str, message_obj, platform_meta, session_id, bot: CQHttp
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.bot = bot
+
+    @staticmethod
+    async def _parse_onebot_json(message_chain: MessageChain):
+        """解析成 OneBot json 格式"""
+        ret = []
+        for segment in message_chain.chain:
+            d = segment.toDict()
+            if isinstance(segment, Plain):
+                d["type"] = "text"
+                d["data"]["text"] = segment.text.strip()
+            elif isinstance(segment, (Image, Record)):
+                # convert to base64
+                bs64 = await segment.convert_to_base64()
+                d["data"] = {
+                    "file": bs64,
+                }
+            elif isinstance(segment, At):
+                d["data"] = {
+                    "qq": str(segment.qq)  # 转换为字符串
+                }
+            ret.append(d)
+        return ret
+
+    async def send(self, message: MessageChain):
+        ret = await AiocqhttpMessageEvent._parse_onebot_json(message)
+
+        send_one_by_one = False
+        for seg in message.chain:
+            if isinstance(seg, (Node, Nodes)):
+                # 转发消息不能和普通消息混在一起发送
+                send_one_by_one = True
+                break
+
+        if send_one_by_one:
+            for seg in message.chain:
+                if isinstance(seg, (Node, Nodes)):
+                    # 合并转发消息
+
+                    if isinstance(seg, Node):
+                        nodes = Nodes([seg])
+                        seg = nodes
+
+                    payload = seg.toDict()
+                    if self.get_group_id():
+                        payload["group_id"] = self.get_group_id()
+                        await self.bot.call_action("send_group_forward_msg", **payload)
+                    else:
+                        payload["user_id"] = self.get_sender_id()
+                        await self.bot.call_action(
+                            "send_private_forward_msg", **payload
+                        )
+                else:
+                    await self.bot.send(
+                        self.message_obj.raw_message,
+                        await AiocqhttpMessageEvent._parse_onebot_json(
+                            MessageChain([seg])
+                        ),
+                    )
+                    await asyncio.sleep(0.5)
+        else:
+            await self.bot.send(self.message_obj.raw_message, ret)
+
+        await super().send(message)
+
+    async def get_group(self, group_id=None, **kwargs):
+        if isinstance(group_id, str) and group_id.isdigit():
+            group_id = int(group_id)
+        elif self.get_group_id():
+            group_id = int(self.get_group_id())
+        else:
+            return None
+
+        info: dict = await self.bot.call_action(
+            "get_group_info",
+            group_id=group_id,
+        )
+
+        members: typing.List[typing.Dict] = await self.bot.call_action(
+            "get_group_member_list",
+            group_id=group_id,
+        )
+
+        owner_id = None
+        admin_ids = []
+        for member in members:
+            if member["role"] == "owner":
+                owner_id = member["user_id"]
+            if member["role"] == "admin":
+                admin_ids.append(member["user_id"])
+
+        group = Group(
+            group_id=str(group_id),
+            group_name=info.get("group_name"),
+            group_avatar="",
+            group_admins=admin_ids,
+            group_owner=str(owner_id),
+            members=[
+                MessageMember(
+                    user_id=member["user_id"],
+                    nickname=member.get("nickname") or member.get("card"),
+                )
+                for member in members
+            ],
+        )
+
+        return group

astrbot/core/platform/sources/aiocqhttp/aiocqhttp_platform_adapter.py

@@ -0,0 +1,329 @@
+import os
+import time
+import asyncio
+import logging
+import uuid
+from typing import Awaitable, Any
+from aiocqhttp import CQHttp, Event
+from astrbot.api.platform import (
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+)
+from astrbot.api.event import MessageChain
+from .aiocqhttp_message_event import *  # noqa: F403
+from astrbot.api.message_components import *  # noqa: F403
+from astrbot.api import logger
+from .aiocqhttp_message_event import AiocqhttpMessageEvent
+from astrbot.core.platform.astr_message_event import MessageSesion
+from ...register import register_platform_adapter
+from aiocqhttp.exceptions import ActionFailed
+from astrbot.core.utils.io import download_file
+
+
+@register_platform_adapter(
+    "aiocqhttp", "适用于 OneBot V11 标准的消息平台适配器，支持反向 WebSockets。"
+)
+class AiocqhttpAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+
+        self.config = platform_config
+        self.settings = platform_settings
+        self.unique_session = platform_settings["unique_session"]
+        self.host = platform_config["ws_reverse_host"]
+        self.port = platform_config["ws_reverse_port"]
+
+        self.metadata = PlatformMetadata(
+            "aiocqhttp",
+            "适用于 OneBot 标准的消息平台适配器，支持反向 WebSockets。",
+        )
+
+        self.bot = CQHttp(
+            use_ws_reverse=True, import_name="aiocqhttp", api_timeout_sec=180
+        )
+
+        @self.bot.on_request()
+        async def request(event: Event):
+            abm = await self.convert_message(event)
+            if abm:
+                await self.handle_msg(abm)
+
+        @self.bot.on_notice()
+        async def notice(event: Event):
+            abm = await self.convert_message(event)
+            if abm:
+                await self.handle_msg(abm)
+
+        @self.bot.on_message("group")
+        async def group(event: Event):
+            abm = await self.convert_message(event)
+            if abm:
+                await self.handle_msg(abm)
+
+        @self.bot.on_message("private")
+        async def private(event: Event):
+            abm = await self.convert_message(event)
+            if abm:
+                await self.handle_msg(abm)
+
+        @self.bot.on_websocket_connection
+        def on_websocket_connection(_):
+            logger.info("aiocqhttp(OneBot v11) 适配器已连接。")
+
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        ret = await AiocqhttpMessageEvent._parse_onebot_json(message_chain)
+        match session.message_type.value:
+            case MessageType.GROUP_MESSAGE.value:
+                if "_" in session.session_id:
+                    # 独立会话
+                    _, group_id = session.session_id.split("_")
+                    await self.bot.send_group_msg(group_id=group_id, message=ret)
+                else:
+                    await self.bot.send_group_msg(
+                        group_id=session.session_id, message=ret
+                    )
+            case MessageType.FRIEND_MESSAGE.value:
+                await self.bot.send_private_msg(user_id=session.session_id, message=ret)
+        await super().send_by_session(session, message_chain)
+
+    async def convert_message(self, event: Event) -> AstrBotMessage:
+        logger.debug(f"[aiocqhttp] RawMessage {event}")
+
+        if event["post_type"] == "message":
+            abm = await self._convert_handle_message_event(event)
+        elif event["post_type"] == "notice":
+            abm = await self._convert_handle_notice_event(event)
+        elif event["post_type"] == "request":
+            abm = await self._convert_handle_request_event(event)
+
+        return abm
+
+    async def _convert_handle_request_event(self, event: Event) -> AstrBotMessage:
+        """OneBot V11 请求类事件"""
+        abm = AstrBotMessage()
+        abm.self_id = str(event.self_id)
+        abm.sender = MessageMember(user_id=event.user_id, nickname=event.user_id)
+        abm.type = MessageType.OTHER_MESSAGE
+        if "group_id" in event and event["group_id"]:
+            abm.type = MessageType.GROUP_MESSAGE
+            abm.group_id = str(event.group_id)
+        else:
+            abm.type = MessageType.FRIEND_MESSAGE
+        if self.unique_session and abm.type == MessageType.GROUP_MESSAGE:
+            abm.session_id = str(abm.sender.user_id) + "_" + str(event.group_id)
+        abm.message_str = ""
+        abm.message = []
+        abm.timestamp = int(time.time())
+        abm.message_id = uuid.uuid4().hex
+        abm.raw_message = event
+        return abm
+
+    async def _convert_handle_notice_event(self, event: Event) -> AstrBotMessage:
+        """OneBot V11 通知类事件"""
+        abm = AstrBotMessage()
+        abm.self_id = str(event.self_id)
+        abm.sender = MessageMember(user_id=event.user_id, nickname=event.user_id)
+        abm.type = MessageType.OTHER_MESSAGE
+        if "group_id" in event and event["group_id"]:
+            abm.group_id = str(event.group_id)
+            abm.type = MessageType.GROUP_MESSAGE
+        else:
+            abm.type = MessageType.FRIEND_MESSAGE
+        if self.unique_session and abm.type == MessageType.GROUP_MESSAGE:
+            abm.session_id = (
+                str(abm.sender.user_id) + "_" + str(event.group_id)
+            )  # 也保留群组 id
+        else:
+            abm.session_id = (
+                str(event.group_id)
+                if abm.type == MessageType.GROUP_MESSAGE
+                else abm.sender.user_id
+            )
+        abm.message_str = ""
+        abm.message = []
+        abm.raw_message = event
+        abm.timestamp = int(time.time())
+        abm.message_id = uuid.uuid4().hex
+
+        if "sub_type" in event:
+            if event["sub_type"] == "poke" and "target_id" in event:
+                abm.message.append(Poke(qq=str(event["target_id"]), type="poke"))  # noqa: F405
+
+        return abm
+
+    async def _convert_handle_message_event(
+        self, event: Event, get_reply=True
+    ) -> AstrBotMessage:
+        """OneBot V11 消息类事件
+
+        @param event: 事件对象
+        @param get_reply: 是否获取回复消息。这个参数是为了防止多个回复嵌套。
+        """
+        abm = AstrBotMessage()
+        abm.self_id = str(event.self_id)
+        abm.sender = MessageMember(
+            str(event.sender["user_id"]), event.sender["nickname"]
+        )
+        if event["message_type"] == "group":
+            abm.type = MessageType.GROUP_MESSAGE
+            abm.group_id = str(event.group_id)
+        elif event["message_type"] == "private":
+            abm.type = MessageType.FRIEND_MESSAGE
+        if self.unique_session and abm.type == MessageType.GROUP_MESSAGE:
+            abm.session_id = (
+                abm.sender.user_id + "_" + str(event.group_id)
+            )  # 也保留群组 id
+        else:
+            abm.session_id = (
+                str(event.group_id)
+                if abm.type == MessageType.GROUP_MESSAGE
+                else abm.sender.user_id
+            )
+
+        abm.message_id = str(event.message_id)
+        abm.message = []
+
+        message_str = ""
+        if not isinstance(event.message, list):
+            err = f"aiocqhttp: 无法识别的消息类型: {str(event.message)}，此条消息将被忽略。如果您在使用 go-cqhttp，请将其配置文件中的 message.post-format 更改为 array。"
+            logger.critical(err)
+            try:
+                self.bot.send(event, err)
+            except BaseException as e:
+                logger.error(f"回复消息失败: {e}")
+            return
+
+        # 按消息段类型类型适配
+        for m in event.message:
+            t = m["type"]
+            a = None
+            if t == "text":
+                message_str += m["data"]["text"].strip()
+                a = ComponentTypes[t](**m["data"])  # noqa: F405
+                abm.message.append(a)
+
+            elif t == "file":
+                if m["data"].get("url") and m["data"].get("url").startswith("http"):
+                    # Lagrange
+                    logger.info("guessing lagrange")
+
+                    file_name = m["data"].get("file_name", "file")
+                    path = os.path.join("data/temp", file_name)
+                    await download_file(m["data"]["url"], path)
+
+                    m["data"] = {"file": path, "name": file_name}
+                    a = ComponentTypes[t](**m["data"])  # noqa: F405
+                    abm.message.append(a)
+
+                else:
+                    try:
+                        # Napcat, LLBot
+                        ret = await self.bot.call_action(
+                            action="get_file",
+                            file_id=event.message[0]["data"]["file_id"],
+                        )
+                        if not ret.get("file", None):
+                            raise ValueError(f"无法解析文件响应: {ret}")
+                        if not os.path.exists(ret["file"]):
+                            raise FileNotFoundError(
+                                f"文件不存在或者权限问题: {ret['file']}。如果您使用 Docker 部署了 AstrBot 或者消息协议端(Napcat等),请先映射路径。如果路径在 /root 目录下，请用 sudo 打开 AstrBot"
+                            )
+
+                        m["data"] = {"file": ret["file"], "name": ret["file_name"]}
+                        a = ComponentTypes[t](**m["data"])  # noqa: F405
+                        abm.message.append(a)
+                    except ActionFailed as e:
+                        logger.error(f"获取文件失败: {e}，此消息段将被忽略。")
+                    except BaseException as e:
+                        logger.error(f"获取文件失败: {e}，此消息段将被忽略。")
+
+            elif t == "reply":
+                if not get_reply:
+                    a = ComponentTypes[t](**m["data"])  # noqa: F405
+                    abm.message.append(a)
+                else:
+                    try:
+                        reply_event_data = await self.bot.call_action(
+                            action="get_msg",
+                            message_id=int(m["data"]["id"]),
+                        )
+                        abm_reply = await self._convert_handle_message_event(
+                            Event.from_payload(reply_event_data), get_reply=False
+                        )
+
+                        reply_seg = Reply(
+                            id=abm_reply.message_id,
+                            chain=abm_reply.message,
+                            sender_id=abm_reply.sender.user_id,
+                            sender_nickname=abm_reply.sender.nickname,
+                            time=abm_reply.timestamp,
+                            message_str=abm_reply.message_str,
+                            text=abm_reply.message_str,  # for compatibility
+                            qq=abm_reply.sender.user_id,  # for compatibility
+                        )
+
+                        abm.message.append(reply_seg)
+                    except BaseException as e:
+                        logger.error(f"获取引用消息失败: {e}。")
+                        a = ComponentTypes[t](**m["data"])  # noqa: F405
+                        abm.message.append(a)
+            else:
+                a = ComponentTypes[t](**m["data"])  # noqa: F405
+                abm.message.append(a)
+
+        abm.timestamp = int(time.time())
+        abm.message_str = message_str
+        abm.raw_message = event
+
+        return abm
+
+    def run(self) -> Awaitable[Any]:
+        if not self.host or not self.port:
+            logger.warning(
+                "aiocqhttp: 未配置 ws_reverse_host 或 ws_reverse_port，将使用默认值：http://0.0.0.0:6199"
+            )
+            self.host = "0.0.0.0"
+            self.port = 6199
+
+        coro = self.bot.run_task(
+            host=self.host,
+            port=int(self.port),
+            shutdown_trigger=self.shutdown_trigger_placeholder,
+        )
+
+        for handler in logging.root.handlers[:]:
+            logging.root.removeHandler(handler)
+        logging.getLogger("aiocqhttp").setLevel(logging.ERROR)
+        self.shutdown_event = asyncio.Event()
+        return coro
+
+    async def terminate(self):
+        self.shutdown_event.set()
+
+    async def shutdown_trigger_placeholder(self):
+        await self.shutdown_event.wait()
+        logger.info("aiocqhttp 适配器已被优雅地关闭")
+
+    def meta(self) -> PlatformMetadata:
+        return self.metadata
+
+    async def handle_msg(self, message: AstrBotMessage):
+        message_event = AiocqhttpMessageEvent(
+            message_str=message.message_str,
+            message_obj=message,
+            platform_meta=self.meta(),
+            session_id=message.session_id,
+            bot=self.bot,
+        )
+
+        self.commit_event(message_event)
+
+    def get_client(self) -> CQHttp:
+        return self.bot

astrbot/core/platform/sources/dingtalk/dingtalk_adapter.py

@@ -0,0 +1,227 @@
+import asyncio
+import uuid
+import aiohttp
+import dingtalk_stream
+import threading
+
+from astrbot.api.platform import (
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+)
+from astrbot.api.event import MessageChain
+from astrbot.api.message_components import Image, Plain, At
+from astrbot.core.platform.astr_message_event import MessageSesion
+from .dingtalk_event import DingtalkMessageEvent
+from ...register import register_platform_adapter
+from astrbot import logger
+from dingtalk_stream import AckMessage
+from astrbot.core.utils.io import download_file
+
+
+class MyEventHandler(dingtalk_stream.EventHandler):
+    async def process(self, event: dingtalk_stream.EventMessage):
+        print(
+            "2",
+            event.headers.event_type,
+            event.headers.event_id,
+            event.headers.event_born_time,
+            event.data,
+        )
+        return AckMessage.STATUS_OK, "OK"
+
+
+@register_platform_adapter("dingtalk", "钉钉机器人官方 API 适配器")
+class DingtalkPlatformAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+
+        self.config = platform_config
+
+        self.unique_session = platform_settings["unique_session"]
+
+        self.client_id = platform_config["client_id"]
+        self.client_secret = platform_config["client_secret"]
+
+        class AstrCallbackClient(dingtalk_stream.ChatbotHandler):
+            async def process(self_, message: dingtalk_stream.CallbackMessage):
+                logger.debug(f"dingtalk: {message.data}")
+                im = dingtalk_stream.ChatbotMessage.from_dict(message.data)
+                abm = await self.convert_msg(im)
+                await self.handle_msg(abm)
+
+                return AckMessage.STATUS_OK, "OK"
+
+        self.client = AstrCallbackClient()
+
+        credential = dingtalk_stream.Credential(self.client_id, self.client_secret)
+        client = dingtalk_stream.DingTalkStreamClient(credential, logger=logger)
+        client.register_all_event_handler(MyEventHandler())
+        client.register_callback_handler(
+            dingtalk_stream.ChatbotMessage.TOPIC, self.client
+        )
+        self.client_ = client  # 用于 websockets 的 client
+
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        raise NotImplementedError("钉钉机器人适配器不支持 send_by_session")
+
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "dingtalk",
+            "钉钉机器人官方 API 适配器",
+        )
+
+    async def convert_msg(
+        self, message: dingtalk_stream.ChatbotMessage
+    ) -> AstrBotMessage:
+        abm = AstrBotMessage()
+        abm.message = []
+        abm.message_str = ""
+        abm.timestamp = int(message.create_at / 1000)
+        abm.type = (
+            MessageType.GROUP_MESSAGE
+            if message.conversation_type == "2"
+            else MessageType.FRIEND_MESSAGE
+        )
+        abm.sender = MessageMember(
+            user_id=message.sender_id, nickname=message.sender_nick
+        )
+        abm.self_id = message.chatbot_user_id
+        abm.message_id = message.message_id
+        abm.raw_message = message
+
+        if abm.type == MessageType.GROUP_MESSAGE:
+            if message.is_in_at_list:
+                abm.message.append(At(qq=abm.self_id))
+            abm.group_id = message.conversation_id
+            if self.unique_session:
+                abm.session_id = abm.sender.user_id
+            else:
+                abm.session_id = abm.group_id
+        else:
+            abm.session_id = abm.sender.user_id
+
+        message_type: str = message.message_type
+        match message_type:
+            case "text":
+                abm.message_str = message.text.content.strip()
+                abm.message.append(Plain(abm.message_str))
+            case "richText":
+                rtc: dingtalk_stream.RichTextContent = message.rich_text_content
+                contents: list[dict] = rtc.rich_text_list
+                for content in contents:
+                    plains = ""
+                    if "text" in content:
+                        plains += content["text"]
+                        abm.message.append(Plain(plains))
+                    elif "type" in content and content["type"] == "picture":
+                        f_path = await self.download_ding_file(
+                            content["downloadCode"],
+                            message.robot_code,
+                            "jpg",
+                        )
+                        abm.message.append(Image.fromFileSystem(f_path))
+            case "audio":
+                pass
+
+        return abm  # 别忘了返回转换后的消息对象
+
+    async def download_ding_file(
+        self, download_code: str, robot_code: str, ext: str
+    ) -> str:
+        """下载钉钉文件
+
+        :param access_token: 钉钉机器人的 access_token
+        :param download_code: 下载码
+        :param robot_code: 机器人码
+        :param ext: 文件后缀
+        :return: 文件路径
+        """
+        access_token = await self.get_access_token()
+        headers = {
+            "x-acs-dingtalk-access-token": access_token,
+        }
+        payload = {
+            "downloadCode": download_code,
+            "robotCode": robot_code,
+        }
+        f_path = f"data/dingtalk_file_{uuid.uuid4()}.{ext}"
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                "https://api.dingtalk.com/v1.0/robot/messageFiles/download",
+                headers=headers,
+                json=payload,
+            ) as resp:
+                if resp.status != 200:
+                    logger.error(
+                        f"下载钉钉文件失败: {resp.status}, {await resp.text()}"
+                    )
+                    return None
+                resp_data = await resp.json()
+                download_url = resp_data["data"]["downloadUrl"]
+                await download_file(download_url, f_path)
+        return f_path
+
+    async def get_access_token(self) -> str:
+        payload = {
+            "appKey": self.client_id,
+            "appSecret": self.client_secret,
+        }
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                "https://api.dingtalk.com/v1.0/oauth2/accessToken",
+                json=payload,
+            ) as resp:
+                if resp.status != 200:
+                    logger.error(
+                        f"获取钉钉机器人 access_token 失败: {resp.status}, {await resp.text()}"
+                    )
+                    return None
+                return (await resp.json())["data"]["accessToken"]
+
+    async def handle_msg(self, abm: AstrBotMessage):
+        event = DingtalkMessageEvent(
+            message_str=abm.message_str,
+            message_obj=abm,
+            platform_meta=self.meta(),
+            session_id=abm.session_id,
+            client=self.client,
+        )
+
+        self._event_queue.put_nowait(event)
+
+    async def run(self):
+        # await self.client_.start()
+        # 钉钉的 SDK 并没有实现真正的异步，start() 里面有堵塞方法。
+        def start_client(loop: asyncio.AbstractEventLoop):
+            try:
+                self._shutdown_event = threading.Event()
+                task = loop.create_task(self.client_.start())
+                self._shutdown_event.wait()
+                if task.done():
+                    task.result()
+            except Exception as e:
+                if "Graceful shutdown" in str(e):
+                    logger.info("钉钉适配器已被优雅地关闭")
+                    return
+                logger.error(f"钉钉机器人启动失败: {e}")
+
+        loop = asyncio.get_event_loop()
+        await loop.run_in_executor(None, start_client, loop)
+
+    async def terminate(self):
+        def monkey_patch_close():
+            raise Exception("Graceful shutdown")
+
+        self.client_.open_connection = monkey_patch_close
+        await self.client_.websocket.close(code=1000, reason="Graceful shutdown")
+        self._shutdown_event.set()
+
+    def get_client(self):
+        return self.client

astrbot/core/platform/sources/dingtalk/dingtalk_event.py

@@ -0,0 +1,58 @@
+import asyncio
+import dingtalk_stream
+import astrbot.api.message_components as Comp
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot import logger
+
+
+class DingtalkMessageEvent(AstrMessageEvent):
+    def __init__(
+        self,
+        message_str,
+        message_obj,
+        platform_meta,
+        session_id,
+        client: dingtalk_stream.ChatbotHandler,
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.client = client
+
+    async def send_with_client(
+        self, client: dingtalk_stream.ChatbotHandler, message: MessageChain
+    ):
+        for segment in message.chain:
+            if isinstance(segment, Comp.Plain):
+                segment.text = segment.text.strip()
+                await asyncio.get_event_loop().run_in_executor(
+                    None, client.reply_text, segment.text, self.message_obj.raw_message
+                )
+            elif isinstance(segment, Comp.Image):
+                markdown_str = ""
+                if segment.file and segment.file.startswith("file:///"):
+                    logger.warning(
+                        "dingtalk only support url image, not: " + segment.file
+                    )
+                    continue
+                elif segment.file and segment.file.startswith("http"):
+                    markdown_str += f"![image]({segment.file})\n\n"
+                elif segment.file and segment.file.startswith("base64://"):
+                    logger.warning("dingtalk only support url image, not base64")
+                    continue
+                else:
+                    logger.warning(
+                        "dingtalk only support url image, not: " + segment.file
+                    )
+                    continue
+
+                ret = await asyncio.get_event_loop().run_in_executor(
+                    None,
+                    client.reply_markdown,
+                    "😄",
+                    markdown_str,
+                    self.message_obj.raw_message,
+                )
+                logger.debug(f"send image: {ret}")
+
+    async def send(self, message: MessageChain):
+        await self.send_with_client(self.client, message)
+        await super().send(message)

astrbot/core/platform/sources/gewechat/client.py

@@ -0,0 +1,737 @@
+import asyncio
+import base64
+import datetime
+import os
+import re
+import threading
+
+import aiohttp
+import anyio
+import quart
+
+from astrbot.api import logger, sp
+from astrbot.api.message_components import Plain, Image, At, Record, Video
+from astrbot.api.platform import AstrBotMessage, MessageMember, MessageType
+from astrbot.core.utils.io import download_image_by_url
+from .downloader import GeweDownloader
+
+try:
+    from .xml_data_parser import GeweDataParser
+except (ImportError, ModuleNotFoundError) as e:
+    logger.warning(
+        f"警告: 可能未安装 defusedxml 依赖库，将导致无法解析微信的 表情包、引用 类型的消息: {str(e)}"
+    )
+
+
+class SimpleGewechatClient:
+    """针对 Gewechat 的简单实现。
+
+    @author: Soulter
+    @website: https://github.com/Soulter
+    """
+
+    def __init__(
+        self,
+        base_url: str,
+        nickname: str,
+        host: str,
+        port: int,
+        event_queue: asyncio.Queue,
+    ):
+        self.base_url = base_url
+        if self.base_url.endswith("/"):
+            self.base_url = self.base_url[:-1]
+
+        self.download_base_url = self.base_url.split(":")[:-1]  # 去掉端口
+        self.download_base_url = ":".join(self.download_base_url) + ":2532/download/"
+
+        self.base_url += "/v2/api"
+
+        logger.info(f"Gewechat API: {self.base_url}")
+        logger.info(f"Gewechat 下载 API: {self.download_base_url}")
+
+        if isinstance(port, str):
+            port = int(port)
+
+        self.token = None
+        self.headers = {}
+        self.nickname = nickname
+        self.appid = sp.get(f"gewechat-appid-{nickname}", "")
+
+        self.server = quart.Quart(__name__)
+        self.server.add_url_rule(
+            "/astrbot-gewechat/callback", view_func=self._callback, methods=["POST"]
+        )
+        self.server.add_url_rule(
+            "/astrbot-gewechat/file/<file_id>",
+            view_func=self._handle_file,
+            methods=["GET"],
+        )
+
+        self.host = host
+        self.port = port
+        self.callback_url = f"http://{self.host}:{self.port}/astrbot-gewechat/callback"
+        self.file_server_url = f"http://{self.host}:{self.port}/astrbot-gewechat/file"
+
+        self.event_queue = event_queue
+
+        self.multimedia_downloader = None
+
+        self.userrealnames = {}
+
+        self.shutdown_event = asyncio.Event()
+
+    async def get_token_id(self):
+        """获取 Gewechat Token。"""
+        async with aiohttp.ClientSession() as session:
+            async with session.post(f"{self.base_url}/tools/getTokenId") as resp:
+                json_blob = await resp.json()
+                self.token = json_blob["data"]
+                logger.info(f"获取到 Gewechat Token: {self.token}")
+                self.headers = {"X-GEWE-TOKEN": self.token}
+
+    async def _convert(self, data: dict) -> AstrBotMessage:
+        if "TypeName" in data:
+            type_name = data["TypeName"]
+        elif "type_name" in data:
+            type_name = data["type_name"]
+        else:
+            raise Exception("无法识别的消息类型")
+
+        # 以下没有业务处理，只是避免控制台打印太多的日志
+        if type_name == "ModContacts":
+            logger.info("gewechat下发：ModContacts消息通知。")
+            return
+        if type_name == "DelContacts":
+            logger.info("gewechat下发：DelContacts消息通知。")
+            return
+
+        if type_name == "Offline":
+            logger.critical("收到 gewechat 下线通知。")
+            return
+
+        d = None
+        if "Data" in data:
+            d = data["Data"]
+        elif "data" in data:
+            d = data["data"]
+
+        if not d:
+            logger.warning(f"消息不含 data 字段: {data}")
+            return
+
+        if "CreateTime" in d:
+            # 得到系统 UTF+8 的 ts
+            tz_offset = datetime.timedelta(hours=8)
+            tz = datetime.timezone(tz_offset)
+            ts = datetime.datetime.now(tz).timestamp()
+            create_time = d["CreateTime"]
+            if create_time < ts - 30:
+                logger.warning(f"消息时间戳过旧: {create_time}，当前时间戳: {ts}")
+                return
+
+        abm = AstrBotMessage()
+
+        from_user_name = d["FromUserName"]["string"]  # 消息来源
+        d["to_wxid"] = from_user_name  # 用于发信息
+
+        abm.message_id = str(d.get("MsgId"))
+        abm.session_id = from_user_name
+        abm.self_id = data["Wxid"]  # 机器人的 wxid
+
+        user_id = ""  # 发送人 wxid
+        content = d["Content"]["string"]  # 消息内容
+
+        at_me = False
+        if "@chatroom" in from_user_name:
+            abm.type = MessageType.GROUP_MESSAGE
+            _t = content.split(":\n")
+            user_id = _t[0]
+            content = _t[1]
+            if "\u2005" in content:
+                # at
+                # content = content.split('\u2005')[1]
+                content = re.sub(r"@[^\u2005]*\u2005", "", content)
+            abm.group_id = from_user_name
+            # at
+            msg_source = d["MsgSource"]
+            if (
+                f"<atuserlist><![CDATA[,{abm.self_id}]]>" in msg_source
+                or f"<atuserlist><![CDATA[{abm.self_id}]]>" in msg_source
+            ):
+                at_me = True
+            if "在群聊中@了你" in d.get("PushContent", ""):
+                at_me = True
+        else:
+            abm.type = MessageType.FRIEND_MESSAGE
+            user_id = from_user_name
+
+        # 检查消息是否由自己发送，若是则忽略
+        if user_id == abm.self_id:
+            logger.info("忽略自己发送的消息")
+            return None
+
+        abm.message = []
+        if at_me:
+            abm.message.insert(0, At(qq=abm.self_id))
+
+        # 解析用户真实名字
+        user_real_name = "unknown"
+        if abm.group_id:
+            if (
+                abm.group_id not in self.userrealnames
+                or user_id not in self.userrealnames[abm.group_id]
+            ):
+                # 获取群成员列表，并且缓存
+                if abm.group_id not in self.userrealnames:
+                    self.userrealnames[abm.group_id] = {}
+                member_list = await self.get_chatroom_member_list(abm.group_id)
+                logger.debug(f"获取到 {abm.group_id} 的群成员列表。")
+                if member_list and "memberList" in member_list:
+                    for member in member_list["memberList"]:
+                        self.userrealnames[abm.group_id][member["wxid"]] = member[
+                            "nickName"
+                        ]
+                if user_id in self.userrealnames[abm.group_id]:
+                    user_real_name = self.userrealnames[abm.group_id][user_id]
+            else:
+                user_real_name = self.userrealnames[abm.group_id][user_id]
+        else:
+            user_real_name = d.get("PushContent", "unknown : ").split(" : ")[0]
+
+        abm.sender = MessageMember(user_id, user_real_name)
+        abm.raw_message = d
+        abm.message_str = ""
+
+        if user_id == "weixin":
+            # 忽略微信团队消息
+            return
+
+        # 不同消息类型
+        match d["MsgType"]:
+            case 1:
+                # 文本消息
+                abm.message.append(Plain(content))
+                abm.message_str = content
+            case 3:
+                # 图片消息
+                file_url = await self.multimedia_downloader.download_image(
+                    self.appid, content
+                )
+                logger.debug(f"下载图片: {file_url}")
+                file_path = await download_image_by_url(file_url)
+                abm.message.append(Image(file=file_path, url=file_path))
+
+            case 34:
+                # 语音消息
+                if "ImgBuf" in d and "buffer" in d["ImgBuf"]:
+                    voice_data = base64.b64decode(d["ImgBuf"]["buffer"])
+                    file_path = f"data/temp/gewe_voice_{abm.message_id}.silk"
+
+                    async with await anyio.open_file(file_path, "wb") as f:
+                        await f.write(voice_data)
+                    abm.message.append(Record(file=file_path, url=file_path))
+
+            # 以下已知消息类型，没有业务处理，只是避免控制台打印太多的日志
+            case 37:  # 好友申请
+                logger.info("消息类型(37)：好友申请")
+            case 42:  # 名片
+                logger.info("消息类型(42)：名片")
+            case 43:  # 视频
+                video = Video(file="", cover=content)
+                abm.message.append(video)
+            case 47:  # emoji
+                data_parser = GeweDataParser(content, abm.group_id == "")
+                emoji = data_parser.parse_emoji()
+                abm.message.append(emoji)
+            case 48:  # 地理位置
+                logger.info("消息类型(48)：地理位置")
+            case 49:  # 公众号/文件/小程序/引用/转账/红包/视频号/群聊邀请
+                data_parser = GeweDataParser(content, abm.group_id == "")
+                abm_data = data_parser.parse_mutil_49()
+                if abm_data:
+                    abm.message.append(abm_data)
+            case 51:  # 帐号消息同步?
+                logger.info("消息类型(51)：帐号消息同步？")
+            case 10000:  # 被踢出群聊/更换群主/修改群名称
+                logger.info("消息类型(10000)：被踢出群聊/更换群主/修改群名称")
+            case 10002:  # 撤回/拍一拍/成员邀请/被移出群聊/解散群聊/群公告/群待办
+                logger.info(
+                    "消息类型(10002)：撤回/拍一拍/成员邀请/被移出群聊/解散群聊/群公告/群待办"
+                )
+
+            case _:
+                logger.info(f"未实现的消息类型: {d['MsgType']}")
+                abm.raw_message = d
+
+        logger.debug(f"abm: {abm}")
+        return abm
+
+    async def _callback(self):
+        data = await quart.request.json
+        logger.debug(f"收到 gewechat 回调: {data}")
+
+        if data.get("testMsg", None):
+            return quart.jsonify({"r": "AstrBot ACK"})
+
+        abm = None
+        try:
+            abm = await self._convert(data)
+        except BaseException as e:
+            logger.warning(
+                f"尝试解析 GeweChat 下发的消息时遇到问题: {e}。下发消息内容: {data}。"
+            )
+
+        if abm:
+            coro = getattr(self, "on_event_received")
+            if coro:
+                await coro(abm)
+
+        return quart.jsonify({"r": "AstrBot ACK"})
+
+    async def _handle_file(self, file_id):
+        file_path = f"data/temp/{file_id}"
+        return await quart.send_file(file_path)
+
+    async def _set_callback_url(self):
+        logger.info("设置回调，请等待...")
+        await asyncio.sleep(3)
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/tools/setCallback",
+                headers=self.headers,
+                json={"token": self.token, "callbackUrl": self.callback_url},
+            ) as resp:
+                json_blob = await resp.json()
+                logger.info(f"设置回调结果: {json_blob}")
+                if json_blob["ret"] != 200:
+                    raise Exception(f"设置回调失败: {json_blob}")
+                logger.info(
+                    f"将在 {self.callback_url} 上接收 gewechat 下发的消息。如果一直没收到消息请先尝试重启 AstrBot。如果仍没收到请到管理面板聊天页输入 /gewe_logout 重新登录。"
+                )
+
+    async def start_polling(self):
+        threading.Thread(target=asyncio.run, args=(self._set_callback_url(),)).start()
+        await self.server.run_task(
+            host="0.0.0.0",
+            port=self.port,
+            shutdown_trigger=self.shutdown_trigger,
+        )
+
+    async def shutdown_trigger(self):
+        await self.shutdown_event.wait()
+
+    async def check_online(self, appid: str):
+        """检查 APPID 对应的设备是否在线。"""
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/login/checkOnline",
+                headers=self.headers,
+                json={"appId": appid},
+            ) as resp:
+                json_blob = await resp.json()
+                return json_blob["data"]
+
+    async def logout(self):
+        """登出 gewechat。"""
+        if self.appid:
+            online = await self.check_online(self.appid)
+            if online:
+                async with aiohttp.ClientSession() as session:
+                    async with session.post(
+                        f"{self.base_url}/login/logout",
+                        headers=self.headers,
+                        json={"appId": self.appid},
+                    ) as resp:
+                        json_blob = await resp.json()
+                        logger.info(f"登出结果: {json_blob}")
+
+    async def login(self):
+        """登录 gewechat。一般来说插件用不到这个方法。"""
+        if self.token is None:
+            await self.get_token_id()
+
+        self.multimedia_downloader = GeweDownloader(
+            self.base_url, self.download_base_url, self.token
+        )
+
+        if self.appid:
+            try:
+                online = await self.check_online(self.appid)
+                if online:
+                    logger.info(f"APPID: {self.appid} 已在线")
+                    return
+            except Exception as e:
+                logger.error(f"检查在线状态失败: {e}")
+                sp.put(f"gewechat-appid-{self.nickname}", "")
+                self.appid = None
+
+        payload = {"appId": self.appid}
+
+        if self.appid:
+            logger.info(f"使用 APPID: {self.appid}, {self.nickname}")
+
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.post(
+                    f"{self.base_url}/login/getLoginQrCode",
+                    headers=self.headers,
+                    json=payload,
+                ) as resp:
+                    json_blob = await resp.json()
+                    if json_blob["ret"] != 200:
+                        error_msg = json_blob.get("data", {}).get("msg", "")
+                        if "设备不存在" in error_msg:
+                            logger.error(
+                                f"检测到无效的appid: {self.appid}，将清除并重新登录。"
+                            )
+                            sp.put(f"gewechat-appid-{self.nickname}", "")
+                            self.appid = None
+                            return await self.login()
+                        else:
+                            raise Exception(f"获取二维码失败: {json_blob}")
+                    qr_data = json_blob["data"]["qrData"]
+                    qr_uuid = json_blob["data"]["uuid"]
+                    appid = json_blob["data"]["appId"]
+                    logger.info(f"APPID: {appid}")
+                    logger.warning(
+                        f"请打开该网址，然后使用微信扫描二维码登录: https://api.cl2wm.cn/api/qrcode/code?text={qr_data}"
+                    )
+        except Exception as e:
+            raise e
+
+        # 执行登录
+        retry_cnt = 64
+        payload.update({"uuid": qr_uuid, "appId": appid})
+        while retry_cnt > 0:
+            retry_cnt -= 1
+
+            # 需要验证码
+            if os.path.exists("data/temp/gewe_code"):
+                with open("data/temp/gewe_code", "r") as f:
+                    code = f.read().strip()
+                    if not code:
+                        logger.warning(
+                            "未找到验证码，请在管理面板聊天页输入 /gewe_code 验证码 来验证，如 /gewe_code 123456"
+                        )
+                        await asyncio.sleep(5)
+                        continue
+                    payload["captchCode"] = code
+                    logger.info(f"使用验证码: {code}")
+                    try:
+                        os.remove("data/temp/gewe_code")
+                    except Exception:
+                        logger.warning("删除验证码文件 data/temp/gewe_code 失败。")
+
+            async with aiohttp.ClientSession() as session:
+                async with session.post(
+                    f"{self.base_url}/login/checkLogin",
+                    headers=self.headers,
+                    json=payload,
+                ) as resp:
+                    json_blob = await resp.json()
+                    logger.info(f"检查登录状态: {json_blob}")
+
+                    ret = json_blob["ret"]
+                    msg = ""
+                    if json_blob["data"] and "msg" in json_blob["data"]:
+                        msg = json_blob["data"]["msg"]
+                    if ret == 500 and "安全验证码" in msg:
+                        logger.warning(
+                            "此次登录需要安全验证码，请在管理面板聊天页输入 /gewe_code 验证码 来验证，如 /gewe_code 123456"
+                        )
+                    else:
+                        status = json_blob["data"]["status"]
+                        nickname = json_blob["data"].get("nickName", "")
+                        if status == 1:
+                            logger.info(f"等待确认...{nickname}")
+                        elif status == 2:
+                            logger.info(f"绿泡泡平台登录成功: {nickname}")
+                            break
+                        elif status == 0:
+                            logger.info("等待扫码...")
+                        else:
+                            logger.warning(f"未知状态: {status}")
+            await asyncio.sleep(5)
+
+        if appid:
+            sp.put(f"gewechat-appid-{self.nickname}", appid)
+            self.appid = appid
+            logger.info(f"已保存 APPID: {appid}")
+
+    """API 部分。Gewechat 的 API 文档请参考: https://apifox.com/apidoc/shared/69ba62ca-cb7d-437e-85e4-6f3d3df271b1
+    """
+
+    async def get_chatroom_member_list(self, chatroom_wxid: str) -> dict:
+        """获取群成员列表。
+
+        Args:
+            chatroom_wxid (str): 微信群聊的id。可以通过 event.get_group_id() 获取。
+
+        Returns:
+            dict: 返回群成员列表字典。其中键为 memberList 的值为群成员列表。
+        """
+        payload = {"appId": self.appid, "chatroomId": chatroom_wxid}
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/group/getChatroomMemberList",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                return json_blob["data"]
+
+    async def post_text(self, to_wxid, content: str, ats: str = ""):
+        """发送纯文本消息"""
+        payload = {
+            "appId": self.appid,
+            "toWxid": to_wxid,
+            "content": content,
+        }
+        if ats:
+            payload["ats"] = ats
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/message/postText", headers=self.headers, json=payload
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"发送消息结果: {json_blob}")
+
+    async def post_image(self, to_wxid, image_url: str):
+        """发送图片消息"""
+        payload = {
+            "appId": self.appid,
+            "toWxid": to_wxid,
+            "imgUrl": image_url,
+        }
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/message/postImage", headers=self.headers, json=payload
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"发送图片结果: {json_blob}")
+
+    async def post_emoji(self, to_wxid, emoji_md5, emoji_size, cdnurl=""):
+        """发送emoji消息"""
+        payload = {
+            "appId": self.appid,
+            "toWxid": to_wxid,
+            "emojiMd5": emoji_md5,
+            "emojiSize": emoji_size,
+        }
+
+        # 优先表情包，若拿不到表情包的md5，就用当作图片发
+        try:
+            if emoji_md5 != "" and emoji_size != "":
+                async with aiohttp.ClientSession() as session:
+                    async with session.post(
+                        f"{self.base_url}/message/postEmoji",
+                        headers=self.headers,
+                        json=payload,
+                    ) as resp:
+                        json_blob = await resp.json()
+                        logger.info(
+                            f"发送emoji消息结果: {json_blob.get('msg', '操作失败')}"
+                        )
+            else:
+                await self.post_image(to_wxid, cdnurl)
+
+        except Exception as e:
+            logger.error(e)
+
+    async def post_video(
+        self, to_wxid, video_url: str, thumb_url: str, video_duration: int
+    ):
+        payload = {
+            "appId": self.appid,
+            "toWxid": to_wxid,
+            "videoUrl": video_url,
+            "thumbUrl": thumb_url,
+            "videoDuration": video_duration,
+        }
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/message/postVideo", headers=self.headers, json=payload
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"发送视频结果: {json_blob}")
+
+    async def forward_video(self, to_wxid, cnd_xml: str):
+        """转发视频
+
+        Args:
+            to_wxid (str): 发送给谁
+            cnd_xml (str): 视频消息的cdn信息
+        """
+        payload = {
+            "appId": self.appid,
+            "toWxid": to_wxid,
+            "xml": cnd_xml,
+        }
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/message/forwardVideo",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"转发视频结果: {json_blob}")
+
+    async def post_voice(self, to_wxid, voice_url: str, voice_duration: int):
+        """发送语音信息
+
+        Args:
+            voice_url (str): 语音文件的网络链接
+            voice_duration (int): 语音时长，毫秒
+        """
+        payload = {
+            "appId": self.appid,
+            "toWxid": to_wxid,
+            "voiceUrl": voice_url,
+            "voiceDuration": voice_duration,
+        }
+
+        logger.debug(f"发送语音: {payload}")
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/message/postVoice", headers=self.headers, json=payload
+            ) as resp:
+                json_blob = await resp.json()
+                logger.info(f"发送语音结果: {json_blob.get('msg', '操作失败')}")
+
+    async def post_file(self, to_wxid, file_url: str, file_name: str):
+        """发送文件
+
+        Args:
+            to_wxid (string): 微信ID
+            file_url (str): 文件的网络链接
+            file_name (str): 文件名
+        """
+        payload = {
+            "appId": self.appid,
+            "toWxid": to_wxid,
+            "fileUrl": file_url,
+            "fileName": file_name,
+        }
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/message/postFile", headers=self.headers, json=payload
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"发送文件结果: {json_blob}")
+
+    async def add_friend(self, v3: str, v4: str, content: str):
+        """申请添加好友"""
+        payload = {
+            "appId": self.appid,
+            "scene": 3,
+            "content": content,
+            "v4": v4,
+            "v3": v3,
+            "option": 2,
+        }
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/contacts/addContacts",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"申请添加好友结果: {json_blob}")
+                return json_blob
+
+    async def get_group(self, group_id: str):
+        payload = {
+            "appId": self.appid,
+            "chatroomId": group_id,
+        }
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/group/getChatroomInfo",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"获取群信息结果: {json_blob}")
+                return json_blob
+
+    async def get_group_member(self, group_id: str):
+        payload = {
+            "appId": self.appid,
+            "chatroomId": group_id,
+        }
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/group/getChatroomMemberList",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"获取群信息结果: {json_blob}")
+                return json_blob
+
+    async def accept_group_invite(self, url: str):
+        """同意进群"""
+        payload = {"appId": self.appid, "url": url}
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/group/agreeJoinRoom",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"获取群信息结果: {json_blob}")
+                return json_blob
+
+    async def add_group_member_to_friend(
+        self, group_id: str, to_wxid: str, content: str
+    ):
+        payload = {
+            "appId": self.appid,
+            "chatroomId": group_id,
+            "content": content,
+            "memberWxid": to_wxid,
+        }
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/group/addGroupMemberAsFriend",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"获取群信息结果: {json_blob}")
+                return json_blob
+
+    async def get_user_or_group_info(self, *ids):
+        """
+        获取用户或群组信息。
+
+        :param ids: 可变数量的 wxid 参数
+        """
+
+        wxids_str = list(ids)
+
+        payload = {
+            "appId": self.appid,
+            "wxids": wxids_str,  # 使用逗号分隔的字符串
+        }
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/contacts/getDetailInfo",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"获取群信息结果: {json_blob}")
+                return json_blob

astrbot/core/platform/sources/gewechat/downloader.py

@@ -0,0 +1,55 @@
+from astrbot import logger
+import aiohttp
+import json
+
+
+class GeweDownloader:
+    def __init__(self, base_url: str, download_base_url: str, token: str):
+        self.base_url = base_url
+        self.download_base_url = download_base_url
+        self.headers = {"Content-Type": "application/json", "X-GEWE-TOKEN": token}
+
+    async def _post_json(self, baseurl: str, route: str, payload: dict):
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{baseurl}{route}", headers=self.headers, json=payload
+            ) as resp:
+                return await resp.read()
+
+    async def download_voice(self, appid: str, xml: str, msg_id: str):
+        payload = {"appId": appid, "xml": xml, "msgId": msg_id}
+        return await self._post_json(self.base_url, "/message/downloadVoice", payload)
+
+    async def download_image(self, appid: str, xml: str) -> str:
+        """返回一个可下载的 URL"""
+        choices = [2, 3]  #  2:常规图片 3:缩略图
+
+        for choice in choices:
+            try:
+                payload = {"appId": appid, "xml": xml, "type": choice}
+                data = await self._post_json(
+                    self.base_url, "/message/downloadImage", payload
+                )
+                json_blob = json.loads(data)
+                if "fileUrl" in json_blob["data"]:
+                    return self.download_base_url + json_blob["data"]["fileUrl"]
+
+            except BaseException as e:
+                logger.error(f"gewe download image: {e}")
+                continue
+
+        raise Exception("无法下载图片")
+
+    async def download_emoji_md5(self, app_id, emoji_md5):
+        """下载emoji"""
+        try:
+            payload = {"appId": app_id, "emojiMd5": emoji_md5}
+
+            # gewe 计划中的接口，暂时没有实现。返回代码404
+            data = await self._post_json(
+                self.base_url, "/message/downloadEmojiMd5", payload
+            )
+            json_blob = json.loads(data)
+            return json_blob
+        except BaseException as e:
+            logger.error(f"gewe download emoji: {e}")

astrbot/core/platform/sources/gewechat/gewechat_event.py

@@ -0,0 +1,218 @@
+import wave
+import uuid
+import traceback
+import os
+
+from astrbot.core.utils.io import save_temp_img, download_file
+from astrbot.core.utils.tencent_record_helper import wav_to_tencent_silk
+from astrbot.api import logger
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.platform import AstrBotMessage, PlatformMetadata, Group, MessageMember
+from astrbot.api.message_components import (
+    Plain,
+    Image,
+    Record,
+    At,
+    File,
+    Video,
+    WechatEmoji as Emoji,
+)
+from .client import SimpleGewechatClient
+
+
+def get_wav_duration(file_path):
+    with wave.open(file_path, "rb") as wav_file:
+        file_size = os.path.getsize(file_path)
+        n_channels, sampwidth, framerate, n_frames = wav_file.getparams()[:4]
+        if n_frames == 2147483647:
+            duration = (file_size - 44) / (n_channels * sampwidth * framerate)
+        elif n_frames == 0:
+            duration = (file_size - 44) / (n_channels * sampwidth * framerate)
+        else:
+            duration = n_frames / float(framerate)
+        return duration
+
+
+class GewechatPlatformEvent(AstrMessageEvent):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+        client: SimpleGewechatClient,
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.client = client
+
+    @staticmethod
+    async def send_with_client(
+        message: MessageChain, to_wxid: str, client: SimpleGewechatClient
+    ):
+        if not to_wxid:
+            logger.error("无法获取到 to_wxid。")
+            return
+
+        #  检查@
+        ats = []
+        ats_names = []
+        for comp in message.chain:
+            if isinstance(comp, At):
+                ats.append(comp.qq)
+                ats_names.append(comp.name)
+        has_at = False
+
+        for comp in message.chain:
+            if isinstance(comp, Plain):
+                text = comp.text
+                payload = {
+                    "to_wxid": to_wxid,
+                    "content": text,
+                }
+                if not has_at and ats:
+                    ats = f"{','.join(ats)}"
+                    ats_names = f"@{' @'.join(ats_names)}"
+                    text = f"{ats_names} {text}"
+                    payload["content"] = text
+                    payload["ats"] = ats
+                    has_at = True
+                await client.post_text(**payload)
+
+            elif isinstance(comp, Image):
+                img_path = await comp.convert_to_file_path()
+
+                # 检查 record_path 是否在 data/temp 目录中
+                temp_directory = os.path.abspath("data/temp")
+                if os.path.commonpath([temp_directory, img_path]) != temp_directory:
+                    with open(img_path, "rb") as f:
+                        img_path = save_temp_img(f.read())
+
+                file_id = os.path.basename(img_path)
+                img_url = f"{client.file_server_url}/{file_id}"
+                logger.debug(f"gewe callback img url: {img_url}")
+                await client.post_image(to_wxid, img_url)
+            elif isinstance(comp, Video):
+                if comp.cover != "":
+                    await client.forward_video(to_wxid, comp.cover)
+                else:
+                    try:
+                        from pyffmpeg import FFmpeg
+                    except (ImportError, ModuleNotFoundError):
+                        logger.error(
+                            "需要安装 pyffmpeg 库才能发送视频: pip install pyffmpeg"
+                        )
+                        raise ModuleNotFoundError(
+                            "需要安装 pyffmpeg 库才能发送视频: pip install pyffmpeg"
+                        )
+
+                    video_url = comp.file
+                    # 根据 url 下载视频
+                    video_filename = f"{uuid.uuid4()}.mp4"
+                    video_path = f"data/temp/{video_filename}"
+                    await download_file(video_url, video_path)
+
+                    # 获取视频第一帧
+                    thumb_path = f"data/temp/{uuid.uuid4()}.jpg"
+                    try:
+                        ff = FFmpeg()
+                        command = f'-i "{video_path}" -ss 0 -vframes 1 "{thumb_path}"'
+                        ff.options(command)
+                        thumb_file_id = os.path.basename(thumb_path)
+                        thumb_url = f"{client.file_server_url}/{thumb_file_id}"
+                    except Exception as e:
+                        logger.error(f"获取视频第一帧失败: {e}")
+                    # 获取视频时长
+                    try:
+                        from pyffmpeg import FFprobe
+
+                        # 创建 FFprobe 实例
+                        ffprobe = FFprobe(video_url)
+                        # 获取时长字符串
+                        duration_str = ffprobe.duration
+                        # 处理时长字符串
+                        video_duration = float(duration_str.replace(":", ""))
+                    except Exception as e:
+                        logger.error(f"获取时长失败: {e}")
+                        video_duration = 10
+
+                    file_id = os.path.basename(video_path)
+                    video_url = f"{client.file_server_url}/{file_id}"
+                    await client.post_video(
+                        to_wxid, video_url, thumb_url, video_duration
+                    )
+
+                    # 删除临时视频和缩略图文件
+                    if os.path.exists(video_path):
+                        os.remove(video_path)
+                    if os.path.exists(thumb_path):
+                        os.remove(thumb_path)
+            elif isinstance(comp, Record):
+                # 默认已经存在 data/temp 中
+                record_url = comp.file
+                record_path = await comp.convert_to_file_path()
+
+                silk_path = f"data/temp/{uuid.uuid4()}.silk"
+                try:
+                    duration = await wav_to_tencent_silk(record_path, silk_path)
+                except Exception as e:
+                    logger.error(traceback.format_exc())
+                    await client.post_text(to_wxid, f"语音文件转换失败。{str(e)}")
+                logger.info("Silk 语音文件格式转换至: " + record_path)
+                if duration == 0:
+                    duration = get_wav_duration(record_path)
+                file_id = os.path.basename(silk_path)
+                record_url = f"{client.file_server_url}/{file_id}"
+                logger.debug(f"gewe callback record url: {record_url}")
+                await client.post_voice(to_wxid, record_url, duration * 1000)
+            elif isinstance(comp, File):
+                file_path = comp.file
+                file_name = comp.name
+                if file_path.startswith("file:///"):
+                    file_path = file_path[8:]
+                elif file_path.startswith("http"):
+                    await download_file(file_path, f"data/temp/{file_name}")
+                else:
+                    file_path = file_path
+
+                file_id = os.path.basename(file_path)
+                file_url = f"{client.file_server_url}/{file_id}"
+                logger.debug(f"gewe callback file url: {file_url}")
+                await client.post_file(to_wxid, file_url, file_id)
+            elif isinstance(comp, Emoji):
+                await client.post_emoji(to_wxid, comp.md5, comp.md5_len, comp.cdnurl)
+            elif isinstance(comp, At):
+                pass
+            else:
+                logger.debug(f"gewechat 忽略: {comp.type}")
+
+    async def send(self, message: MessageChain):
+        to_wxid = self.message_obj.raw_message.get("to_wxid", None)
+        await GewechatPlatformEvent.send_with_client(message, to_wxid, self.client)
+        await super().send(message)
+
+    async def get_group(self, group_id=None, **kwargs):
+        # 确定有效的 group_id
+        if group_id is None:
+            group_id = self.get_group_id()
+
+        if not group_id:
+            return None
+
+        res = await self.client.get_group(group_id)
+        data: dict = res["data"]
+
+        if not data["chatroomId"]:
+            return None
+
+        members = [
+            MessageMember(user_id=member["wxid"], nickname=member["nickName"])
+            for member in data.get("memberList", [])
+        ]
+
+        return Group(
+            group_id=data["chatroomId"],
+            group_name=data.get("nickName"),
+            group_avatar=data.get("smallHeadImgUrl"),
+            group_owner=data.get("chatRoomOwner"),
+            members=members,
+        )

astrbot/core/platform/sources/gewechat/gewechat_platform_adapter.py

@@ -0,0 +1,99 @@
+import sys
+import asyncio
+import os
+
+from astrbot.api.platform import Platform, AstrBotMessage, MessageType, PlatformMetadata
+from astrbot.api.event import MessageChain
+from astrbot.core.platform.astr_message_event import MessageSesion
+from ...register import register_platform_adapter
+from .gewechat_event import GewechatPlatformEvent
+from .client import SimpleGewechatClient
+from astrbot import logger
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
+
+@register_platform_adapter("gewechat", "基于 gewechat 的 Wechat 适配器")
+class GewechatPlatformAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+        self.config = platform_config
+        self.settingss = platform_settings
+        self.test_mode = os.environ.get("TEST_MODE", "off") == "on"
+        self.client = None
+
+        self.client = SimpleGewechatClient(
+            self.config["base_url"],
+            self.config["nickname"],
+            self.config["host"],
+            self.config["port"],
+            self._event_queue,
+        )
+
+        async def on_event_received(abm: AstrBotMessage):
+            await self.handle_msg(abm)
+
+        self.client.on_event_received = on_event_received
+
+    @override
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        session_id = session.session_id
+        if "#" in session_id:
+            # unique session
+            to_wxid = session_id.split("#")[1]
+        else:
+            to_wxid = session_id
+
+        await GewechatPlatformEvent.send_with_client(
+            message_chain, to_wxid, self.client
+        )
+
+        await super().send_by_session(session, message_chain)
+
+    @override
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "gewechat",
+            "基于 gewechat 的 Wechat 适配器",
+        )
+
+    async def terminate(self):
+        self.client.shutdown_event.set()
+        await self.client.server.shutdown()
+        logger.info("Gewechat 适配器已被优雅地关闭。")
+
+    async def logout(self):
+        await self.client.logout()
+
+    @override
+    def run(self):
+        return self._run()
+
+    async def _run(self):
+        await self.client.login()
+        await self.client.start_polling()
+
+    async def handle_msg(self, message: AstrBotMessage):
+        if message.type == MessageType.GROUP_MESSAGE:
+            if self.settingss["unique_session"]:
+                message.session_id = message.sender.user_id + "#" + message.group_id
+
+        message_event = GewechatPlatformEvent(
+            message_str=message.message_str,
+            message_obj=message,
+            platform_meta=self.meta(),
+            session_id=message.session_id,
+            client=self.client,
+        )
+
+        self.commit_event(message_event)
+
+    def get_client(self) -> SimpleGewechatClient:
+        return self.client

astrbot/core/platform/sources/gewechat/xml_data_parser.py

@@ -0,0 +1,78 @@
+from defusedxml import ElementTree as eT
+from astrbot.api import logger
+from astrbot.api.message_components import WechatEmoji as Emoji, Reply, Plain
+
+
+class GeweDataParser:
+    def __init__(self, data, is_private_chat):
+        self.data = data
+        self.is_private_chat = is_private_chat
+
+    def _format_to_xml(self):
+        return eT.fromstring(self.data)
+
+    def parse_mutil_49(self):
+        appmsg_type = self._format_to_xml().find(".//appmsg/type")
+        if appmsg_type is None:
+            return
+
+        match appmsg_type.text:
+            case "57":
+                return self.parse_reply()
+
+    def parse_emoji(self) -> Emoji | None:
+        try:
+            emoji_element = self._format_to_xml().find(".//emoji")
+            # 提取 md5 和 len 属性
+            if emoji_element is not None:
+                md5_value = emoji_element.get("md5")
+                emoji_size = emoji_element.get("len")
+                cdnurl = emoji_element.get("cdnurl")
+
+                return Emoji(md5=md5_value, md5_len=emoji_size, cdnurl=cdnurl)
+
+        except Exception as e:
+            logger.error(f"gewechat: parse_emoji failed, {e}")
+
+    def parse_reply(self) -> Reply | None:
+        try:
+            replied_id = -1
+            replied_uid = 0
+            replied_nickname = ""
+            replied_content = ""
+            content = ""
+
+            root = self._format_to_xml()
+            refermsg = root.find(".//refermsg")
+            if refermsg is not None:
+                # 被引用的信息
+                svrid = refermsg.find("svrid")
+                fromusr = refermsg.find("fromusr")
+                displayname = refermsg.find("displayname")
+                refermsg_content = refermsg.find("content")
+                if svrid is not None:
+                    replied_id = svrid.text
+                if fromusr is not None:
+                    replied_uid = fromusr.text
+                if displayname is not None:
+                    replied_nickname = displayname.text
+                if refermsg_content is not None:
+                    replied_content = refermsg_content.text
+
+                # 提取引用者说的内容
+            title = root.find(".//appmsg/title")
+            if title is not None:
+                content = title.text
+
+            r = Reply(
+                id=replied_id,
+                chain=[Plain(content)],
+                sender_id=replied_uid,
+                sender_nickname=replied_nickname,
+                sender_str=replied_content,
+                message_str=content,
+            )
+            return r
+
+        except Exception as e:
+            logger.error(f"gewechat: parse_reply failed, {e}")

astrbot/core/platform/sources/lark/lark_adapter.py

@@ -0,0 +1,193 @@
+import base64
+import asyncio
+import json
+import re
+import astrbot.api.message_components as Comp
+
+from astrbot.api.platform import (
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+)
+from astrbot.api.event import MessageChain
+from astrbot.core.platform.astr_message_event import MessageSesion
+from .lark_event import LarkMessageEvent
+from ...register import register_platform_adapter
+from astrbot import logger
+import lark_oapi as lark
+from lark_oapi.api.im.v1 import *
+
+
+@register_platform_adapter("lark", "飞书机器人官方 API 适配器")
+class LarkPlatformAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+
+        self.config = platform_config
+
+        self.unique_session = platform_settings["unique_session"]
+
+        self.appid = platform_config["app_id"]
+        self.appsecret = platform_config["app_secret"]
+        self.domain = platform_config.get("domain", lark.FEISHU_DOMAIN)
+        self.bot_name = platform_config.get("lark_bot_name", "astrbot")
+
+        if not self.bot_name:
+            logger.warning("未设置飞书机器人名称，@ 机器人可能得不到回复。")
+
+        async def on_msg_event_recv(event: lark.im.v1.P2ImMessageReceiveV1):
+            await self.convert_msg(event)
+
+        def do_v2_msg_event(event: lark.im.v1.P2ImMessageReceiveV1):
+            asyncio.create_task(on_msg_event_recv(event))
+
+        self.event_handler = (
+            lark.EventDispatcherHandler.builder("", "")
+            .register_p2_im_message_receive_v1(do_v2_msg_event)
+            .build()
+        )
+
+        self.client = lark.ws.Client(
+            app_id=self.appid,
+            app_secret=self.appsecret,
+            log_level=lark.LogLevel.ERROR,
+            domain=self.domain,
+            event_handler=self.event_handler,
+        )
+
+        self.lark_api = (
+            lark.Client.builder().app_id(self.appid).app_secret(self.appsecret).build()
+        )
+
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        raise NotImplementedError("Lark 适配器不支持 send_by_session")
+
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "lark",
+            "飞书机器人官方 API 适配器",
+        )
+
+    async def convert_msg(self, event: lark.im.v1.P2ImMessageReceiveV1):
+        message = event.event.message
+        abm = AstrBotMessage()
+        abm.timestamp = int(message.create_time) / 1000
+        abm.message = []
+        abm.type = (
+            MessageType.GROUP_MESSAGE
+            if message.chat_type == "group"
+            else MessageType.FRIEND_MESSAGE
+        )
+        if message.chat_type == "group":
+            abm.group_id = message.chat_id
+        abm.self_id = self.bot_name
+        abm.message_str = ""
+
+        at_list = {}
+        if message.mentions:
+            for m in message.mentions:
+                at_list[m.key] = Comp.At(qq=m.id.open_id, name=m.name)
+                if m.name == self.bot_name:
+                    abm.self_id = m.id.open_id
+
+        content_json_b = json.loads(message.content)
+
+        if message.message_type == "text":
+            message_str_raw = content_json_b["text"]  # 带有 @ 的消息
+            at_pattern = r"(@_user_\d+)"  # 可以根据需求修改正则
+            # at_users = re.findall(at_pattern, message_str_raw)
+            # 拆分文本，去掉AT符号部分
+            parts = re.split(at_pattern, message_str_raw)
+            for i in range(len(parts)):
+                s = parts[i].strip()
+                if not s:
+                    continue
+                if s in at_list:
+                    abm.message.append(at_list[s])
+                else:
+                    abm.message.append(Comp.Plain(parts[i].strip()))
+        elif message.message_type == "post":
+            _ls = []
+
+            content_ls = content_json_b.get("content", [])
+            for comp in content_ls:
+                if isinstance(comp, list):
+                    _ls.extend(comp)
+                elif isinstance(comp, dict):
+                    _ls.append(comp)
+            content_json_b = _ls
+        elif message.message_type == "image":
+            content_json_b = [
+                {"tag": "img", "image_key": content_json_b["image_key"], "style": []}
+            ]
+
+        if message.message_type in ("post", "image"):
+            for comp in content_json_b:
+                if comp["tag"] == "at":
+                    abm.message.append(at_list[comp["user_id"]])
+                elif comp["tag"] == "text" and comp["text"].strip():
+                    abm.message.append(Comp.Plain(comp["text"].strip()))
+                elif comp["tag"] == "img":
+                    image_key = comp["image_key"]
+                    request = (
+                        GetMessageResourceRequest.builder()
+                        .message_id(message.message_id)
+                        .file_key(image_key)
+                        .type("image")
+                        .build()
+                    )
+                    response = await self.lark_api.im.v1.message_resource.aget(request)
+                    if not response.success():
+                        logger.error(f"无法下载飞书图片: {image_key}")
+                    image_bytes = response.file.read()
+                    image_base64 = base64.b64encode(image_bytes).decode()
+                    abm.message.append(Comp.Image.fromBase64(image_base64))
+
+        for comp in abm.message:
+            if isinstance(comp, Comp.Plain):
+                abm.message_str += comp.text
+        abm.message_id = message.message_id
+        abm.raw_message = message
+        abm.sender = MessageMember(
+            user_id=event.event.sender.sender_id.open_id,
+            nickname=event.event.sender.sender_id.open_id[:8],
+        )
+        # 独立会话
+        if not self.unique_session:
+            if abm.type == MessageType.GROUP_MESSAGE:
+                abm.session_id = abm.group_id
+            else:
+                abm.session_id = abm.sender.user_id
+        else:
+            abm.session_id = abm.sender.user_id
+
+        logger.debug(abm)
+        await self.handle_msg(abm)
+
+    async def handle_msg(self, abm: AstrBotMessage):
+        event = LarkMessageEvent(
+            message_str=abm.message_str,
+            message_obj=abm,
+            platform_meta=self.meta(),
+            session_id=abm.session_id,
+            bot=self.lark_api,
+        )
+
+        self._event_queue.put_nowait(event)
+
+    async def run(self):
+        # self.client.start()
+        await self.client._connect()
+
+    async def terminate(self):
+        await self.client._disconnect()
+        logger.info("飞书(Lark) 适配器已被优雅地关闭")
+
+    def get_client(self) -> lark.Client:
+        return self.client

astrbot/core/platform/sources/lark/lark_event.py

@@ -0,0 +1,93 @@
+import json
+import uuid
+import lark_oapi as lark
+from typing import List
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.message_components import Plain, Image as AstrBotImage, At
+from astrbot.core.utils.io import download_image_by_url
+from lark_oapi.api.im.v1 import *
+from astrbot import logger
+
+
+class LarkMessageEvent(AstrMessageEvent):
+    def __init__(
+        self, message_str, message_obj, platform_meta, session_id, bot: lark.Client
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.bot = bot
+
+    @staticmethod
+    async def _convert_to_lark(message: MessageChain, lark_client: lark.Client) -> List:
+        ret = []
+        _stage = []
+        for comp in message.chain:
+            if isinstance(comp, Plain):
+                _stage.append({"tag": "md", "text": comp.text})
+            elif isinstance(comp, At):
+                _stage.append({"tag": "at", "user_id": comp.qq, "style": []})
+            elif isinstance(comp, AstrBotImage):
+                file_path = ""
+                if comp.file and comp.file.startswith("file:///"):
+                    file_path = comp.file.replace("file:///", "")
+                elif comp.file and comp.file.startswith("http"):
+                    image_file_path = await download_image_by_url(comp.file)
+                    file_path = image_file_path
+                elif comp.file and comp.file.startswith("base64://"):
+                    pass
+                else:
+                    file_path = comp.file
+
+                request = (
+                    CreateImageRequest.builder()
+                    .request_body(
+                        CreateImageRequestBody.builder()
+                        .image_type("message")
+                        .image(open(file_path, "rb"))
+                        .build()
+                    )
+                    .build()
+                )
+                response = await lark_client.im.v1.image.acreate(request)
+                if not response.success():
+                    logger.error(f"无法上传飞书图片({response.code}): {response.msg}")
+                image_key = response.data.image_key
+                print(image_key)
+                ret.append(_stage)
+                ret.append([{"tag": "img", "image_key": image_key}])
+                _stage.clear()
+            else:
+                logger.warning(f"飞书 暂时不支持消息段: {comp.type}")
+
+        if _stage:
+            ret.append(_stage)
+        return ret
+
+    async def send(self, message: MessageChain):
+        res = await LarkMessageEvent._convert_to_lark(message, self.bot)
+        wrapped = {
+            "zh_cn": {
+                "title": "",
+                "content": res,
+            }
+        }
+
+        request = (
+            ReplyMessageRequest.builder()
+            .message_id(self.message_obj.message_id)
+            .request_body(
+                ReplyMessageRequestBody.builder()
+                .content(json.dumps(wrapped))
+                .msg_type("post")
+                .uuid(str(uuid.uuid4()))
+                .reply_in_thread(False)
+                .build()
+            )
+            .build()
+        )
+
+        response = await self.bot.im.v1.message.areply(request)
+
+        if not response.success():
+            logger.error(f"回复飞书消息失败({response.code}): {response.msg}")
+
+        await super().send(message)

astrbot/core/platform/sources/qqofficial/qqofficial_message_event.py

@@ -0,0 +1,137 @@
+import botpy
+import botpy.message
+import botpy.types
+import botpy.types.message
+from astrbot.core.utils.io import file_to_base64, download_image_by_url
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.platform import AstrBotMessage, PlatformMetadata
+from astrbot.api.message_components import Plain, Image
+from botpy import Client
+from botpy.http import Route
+from astrbot.api import logger
+
+
+class QQOfficialMessageEvent(AstrMessageEvent):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+        bot: Client,
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.bot = bot
+        self.send_buffer = None
+
+    async def send(self, message: MessageChain):
+        if not self.send_buffer:
+            self.send_buffer = message
+        else:
+            self.send_buffer.chain.extend(message.chain)
+
+    async def _post_send(self):
+        """QQ 官方 API 仅支持回复一次"""
+        source = self.message_obj.raw_message
+        assert isinstance(
+            source,
+            (
+                botpy.message.Message,
+                botpy.message.GroupMessage,
+                botpy.message.DirectMessage,
+                botpy.message.C2CMessage,
+            ),
+        )
+
+        (
+            plain_text,
+            image_base64,
+            image_path,
+        ) = await QQOfficialMessageEvent._parse_to_qqofficial(self.send_buffer)
+
+        if not plain_text and not image_base64 and not image_path:
+            return
+
+        payload = {
+            "content": plain_text,
+            "msg_id": self.message_obj.message_id,
+        }
+
+        match type(source):
+            case botpy.message.GroupMessage:
+                if image_base64:
+                    media = await self.upload_group_and_c2c_image(
+                        image_base64, 1, group_openid=source.group_openid
+                    )
+                    payload["media"] = media
+                    payload["msg_type"] = 7
+                await self.bot.api.post_group_message(
+                    group_openid=source.group_openid, **payload
+                )
+            case botpy.message.C2CMessage:
+                if image_base64:
+                    media = await self.upload_group_and_c2c_image(
+                        image_base64, 1, openid=source.author.user_openid
+                    )
+                    payload["media"] = media
+                    payload["msg_type"] = 7
+                await self.bot.api.post_c2c_message(
+                    openid=source.author.user_openid, **payload
+                )
+            case botpy.message.Message:
+                if image_path:
+                    payload["file_image"] = image_path
+                await self.bot.api.post_message(channel_id=source.channel_id, **payload)
+            case botpy.message.DirectMessage:
+                if image_path:
+                    payload["file_image"] = image_path
+                await self.bot.api.post_dms(guild_id=source.guild_id, **payload)
+
+        await super().send(self.send_buffer)
+
+        self.send_buffer = None
+
+    async def upload_group_and_c2c_image(
+        self, image_base64: str, file_type: int, **kwargs
+    ) -> botpy.types.message.Media:
+        payload = {
+            "file_data": image_base64,
+            "file_type": file_type,
+            "srv_send_msg": False,
+        }
+        if "openid" in kwargs:
+            payload["openid"] = kwargs["openid"]
+            route = Route("POST", "/v2/users/{openid}/files", openid=kwargs["openid"])
+            return await self.bot.api._http.request(route, json=payload)
+        elif "group_openid" in kwargs:
+            payload["group_openid"] = kwargs["group_openid"]
+            route = Route(
+                "POST",
+                "/v2/groups/{group_openid}/files",
+                group_openid=kwargs["group_openid"],
+            )
+            return await self.bot.api._http.request(route, json=payload)
+
+    @staticmethod
+    async def _parse_to_qqofficial(message: MessageChain):
+        plain_text = ""
+        image_base64 = None  # only one img supported
+        image_file_path = None
+        for i in message.chain:
+            if isinstance(i, Plain):
+                plain_text += i.text
+            elif isinstance(i, Image) and not image_base64:
+                if i.file and i.file.startswith("file:///"):
+                    image_base64 = file_to_base64(i.file[8:])
+                    image_file_path = i.file[8:]
+                elif i.file and i.file.startswith("http"):
+                    image_file_path = await download_image_by_url(i.file)
+                    image_base64 = file_to_base64(image_file_path)
+                elif i.file and i.file.startswith("base64://"):
+                    image_base64 = i.file
+                else:
+                    image_base64 = file_to_base64(i.file)
+                image_base64 = image_base64.removeprefix("base64://")
+            else:
+                logger.debug(f"qq_official 忽略 {i.type}")
+        return plain_text, image_base64, image_file_path

astrbot/core/platform/sources/qqofficial/qqofficial_platform_adapter.py

@@ -0,0 +1,211 @@
+from __future__ import annotations
+
+import botpy
+import logging
+import time
+import asyncio
+import botpy.message
+import botpy.types
+import botpy.types.message
+import os
+
+from botpy import Client
+from astrbot.api.platform import (
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+)
+from astrbot import logger
+from astrbot.api.event import MessageChain
+from typing import Union, List
+from astrbot.api.message_components import Image, Plain, At
+from astrbot.core.platform.astr_message_event import MessageSesion
+from .qqofficial_message_event import QQOfficialMessageEvent
+from ...register import register_platform_adapter
+from astrbot.core.message.components import BaseMessageComponent
+
+# remove logger handler
+for handler in logging.root.handlers[:]:
+    logging.root.removeHandler(handler)
+
+
+# QQ 机器人官方框架
+class botClient(Client):
+    def set_platform(self, platform: "QQOfficialPlatformAdapter"):
+        self.platform = platform
+
+    # 收到群消息
+    async def on_group_at_message_create(self, message: botpy.message.GroupMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(
+            message, MessageType.GROUP_MESSAGE
+        )
+        abm.session_id = (
+            abm.sender.user_id if self.platform.unique_session else message.group_openid
+        )
+        self._commit(abm)
+
+    # 收到频道消息
+    async def on_at_message_create(self, message: botpy.message.Message):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(
+            message, MessageType.GROUP_MESSAGE
+        )
+        abm.session_id = (
+            abm.sender.user_id if self.platform.unique_session else message.channel_id
+        )
+        self._commit(abm)
+
+    # 收到私聊消息
+    async def on_direct_message_create(self, message: botpy.message.DirectMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(
+            message, MessageType.FRIEND_MESSAGE
+        )
+        abm.session_id = abm.sender.user_id
+        self._commit(abm)
+
+    # 收到 C2C 消息
+    async def on_c2c_message_create(self, message: botpy.message.C2CMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(
+            message, MessageType.FRIEND_MESSAGE
+        )
+        abm.session_id = abm.sender.user_id
+        self._commit(abm)
+
+    def _commit(self, abm: AstrBotMessage):
+        self.platform.commit_event(
+            QQOfficialMessageEvent(
+                abm.message_str,
+                abm,
+                self.platform.meta(),
+                abm.session_id,
+                self.platform.client,
+            )
+        )
+
+
+@register_platform_adapter("qq_official", "QQ 机器人官方 API 适配器")
+class QQOfficialPlatformAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+
+        self.config = platform_config
+
+        self.appid = platform_config["appid"]
+        self.secret = platform_config["secret"]
+        self.unique_session = platform_settings["unique_session"]
+        qq_group = platform_config["enable_group_c2c"]
+        guild_dm = platform_config["enable_guild_direct_message"]
+
+        if qq_group:
+            self.intents = botpy.Intents(
+                public_messages=True,
+                public_guild_messages=True,
+                direct_message=guild_dm,
+            )
+        else:
+            self.intents = botpy.Intents(
+                public_guild_messages=True, direct_message=guild_dm
+            )
+        self.client = botClient(
+            intents=self.intents,
+            bot_log=False,
+            timeout=20,
+        )
+
+        self.client.set_platform(self)
+
+        self.test_mode = os.environ.get("TEST_MODE", "off") == "on"
+
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        raise NotImplementedError("QQ 机器人官方 API 适配器不支持 send_by_session")
+
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "qq_official",
+            "QQ 机器人官方 API 适配器",
+        )
+
+    @staticmethod
+    def _parse_from_qqofficial(
+        message: Union[botpy.message.Message, botpy.message.GroupMessage],
+        message_type: MessageType,
+    ):
+        abm = AstrBotMessage()
+        abm.type = message_type
+        abm.timestamp = int(time.time())
+        abm.raw_message = message
+        abm.message_id = message.id
+        abm.tag = "qq_official"
+        msg: List[BaseMessageComponent] = []
+
+        if isinstance(message, botpy.message.GroupMessage) or isinstance(
+            message, botpy.message.C2CMessage
+        ):
+            if isinstance(message, botpy.message.GroupMessage):
+                abm.sender = MessageMember(message.author.member_openid, "")
+                abm.group_id = message.group_openid
+            else:
+                abm.sender = MessageMember(message.author.user_openid, "")
+            abm.message_str = message.content.strip()
+            abm.self_id = "unknown_selfid"
+            msg.append(At(qq="qq_official"))
+            msg.append(Plain(abm.message_str))
+            if message.attachments:
+                for i in message.attachments:
+                    if i.content_type.startswith("image"):
+                        url = i.url
+                        if not url.startswith("http"):
+                            url = "https://" + url
+                        img = Image.fromURL(url)
+                        msg.append(img)
+            abm.message = msg
+
+        elif isinstance(message, botpy.message.Message) or isinstance(
+            message, botpy.message.DirectMessage
+        ):
+            try:
+                abm.self_id = str(message.mentions[0].id)
+            except BaseException as _:
+                abm.self_id = ""
+
+            plain_content = message.content.replace(
+                "<@!" + str(abm.self_id) + ">", ""
+            ).strip()
+
+            if message.attachments:
+                for i in message.attachments:
+                    if i.content_type.startswith("image"):
+                        url = i.url
+                        if not url.startswith("http"):
+                            url = "https://" + url
+                        img = Image.fromURL(url)
+                        msg.append(img)
+            abm.message = msg
+            abm.message_str = plain_content
+            abm.sender = MessageMember(
+                str(message.author.id), str(message.author.username)
+            )
+            msg.append(At(qq="qq_official"))
+            msg.append(Plain(plain_content))
+
+            if isinstance(message, botpy.message.Message):
+                abm.group_id = message.channel_id
+        else:
+            raise ValueError(f"Unknown message type: {message_type}")
+        abm.self_id = "qq_official"
+        return abm
+
+    def run(self):
+        return self.client.start(appid=self.appid, secret=self.secret)
+
+    def get_client(self) -> botClient:
+        return self.client
+
+    async def terminate(self):
+        await self.client.close()
+        logger.info("QQ 官方机器人接口 适配器已被优雅地关闭")

astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_adapter.py

@@ -0,0 +1,120 @@
+import botpy
+import logging
+import asyncio
+import botpy.message
+import botpy.types
+import botpy.types.message
+
+from botpy import Client
+from astrbot.api.platform import Platform, AstrBotMessage, MessageType, PlatformMetadata
+from astrbot.api.event import MessageChain
+from astrbot.core.platform.astr_message_event import MessageSesion
+from .qo_webhook_event import QQOfficialWebhookMessageEvent
+from ...register import register_platform_adapter
+from .qo_webhook_server import QQOfficialWebhook
+from ..qqofficial.qqofficial_platform_adapter import QQOfficialPlatformAdapter
+from astrbot import logger
+
+# remove logger handler
+for handler in logging.root.handlers[:]:
+    logging.root.removeHandler(handler)
+
+
+# QQ 机器人官方框架
+class botClient(Client):
+    def set_platform(self, platform: "QQOfficialWebhookPlatformAdapter"):
+        self.platform = platform
+
+    # 收到群消息
+    async def on_group_at_message_create(self, message: botpy.message.GroupMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(
+            message, MessageType.GROUP_MESSAGE
+        )
+        abm.session_id = (
+            abm.sender.user_id if self.platform.unique_session else message.group_openid
+        )
+        self._commit(abm)
+
+    # 收到频道消息
+    async def on_at_message_create(self, message: botpy.message.Message):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(
+            message, MessageType.GROUP_MESSAGE
+        )
+        abm.session_id = (
+            abm.sender.user_id if self.platform.unique_session else message.channel_id
+        )
+        self._commit(abm)
+
+    # 收到私聊消息
+    async def on_direct_message_create(self, message: botpy.message.DirectMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(
+            message, MessageType.FRIEND_MESSAGE
+        )
+        abm.session_id = abm.sender.user_id
+        self._commit(abm)
+
+    # 收到 C2C 消息
+    async def on_c2c_message_create(self, message: botpy.message.C2CMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(
+            message, MessageType.FRIEND_MESSAGE
+        )
+        abm.session_id = abm.sender.user_id
+        self._commit(abm)
+
+    def _commit(self, abm: AstrBotMessage):
+        self.platform.commit_event(
+            QQOfficialWebhookMessageEvent(
+                abm.message_str, abm, self.platform.meta(), abm.session_id, self
+            )
+        )
+
+
+@register_platform_adapter("qq_official_webhook", "QQ 机器人官方 API 适配器(Webhook)")
+class QQOfficialWebhookPlatformAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+
+        self.config = platform_config
+
+        self.appid = platform_config["appid"]
+        self.secret = platform_config["secret"]
+        self.unique_session = platform_settings["unique_session"]
+
+        intents = botpy.Intents(
+            public_messages=True, public_guild_messages=True, direct_message=True
+        )
+        self.client = botClient(
+            intents=intents,  # 已经无用
+            bot_log=False,
+            timeout=20,
+        )
+        self.client.set_platform(self)
+
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        raise NotImplementedError("QQ 机器人官方 API 适配器不支持 send_by_session")
+
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "qq_official_webhook",
+            "QQ 机器人官方 API 适配器",
+        )
+
+    async def run(self):
+        self.webhook_helper = QQOfficialWebhook(
+            self.config, self._event_queue, self.client
+        )
+        await self.webhook_helper.initialize()
+        await self.webhook_helper.start_polling()
+
+    def get_client(self) -> botClient:
+        return self.client
+
+    async def terminate(self):
+        self.webhook_helper.shutdown_event.set()
+        await self.client.close()
+        await self.webhook_helper.server.shutdown()
+        logger.info("QQ 机器人官方 API 适配器已经被优雅地关闭")

astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_event.py

@@ -0,0 +1,15 @@
+from astrbot.api.platform import AstrBotMessage, PlatformMetadata
+from botpy import Client
+from ..qqofficial.qqofficial_message_event import QQOfficialMessageEvent
+
+
+class QQOfficialWebhookMessageEvent(QQOfficialMessageEvent):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+        bot: Client,
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id, bot)

astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_server.py

@@ -0,0 +1,110 @@
+import quart
+import logging
+import asyncio
+from botpy import BotAPI, BotHttp, Client, Token, BotWebSocket, ConnectionSession
+from astrbot.api import logger
+from cryptography.hazmat.primitives.asymmetric import ed25519
+
+# remove logger handler
+for handler in logging.root.handlers[:]:
+    logging.root.removeHandler(handler)
+
+
+class QQOfficialWebhook:
+    def __init__(self, config: dict, event_queue: asyncio.Queue, botpy_client: Client):
+        self.appid = config["appid"]
+        self.secret = config["secret"]
+        self.port = config.get("port", 6196)
+        self.callback_server_host = config.get("callback_server_host", "0.0.0.0")
+
+        if isinstance(self.port, str):
+            self.port = int(self.port)
+
+        self.http: BotHttp = BotHttp(timeout=300)
+        self.api: BotAPI = BotAPI(http=self.http)
+        self.token = Token(self.appid, self.secret)
+
+        self.server = quart.Quart(__name__)
+        self.server.add_url_rule(
+            "/astrbot-qo-webhook/callback", view_func=self.callback, methods=["POST"]
+        )
+        self.client = botpy_client
+        self.event_queue = event_queue
+        self.shutdown_event = asyncio.Event()
+
+    async def initialize(self):
+        logger.info("正在登录到 QQ 官方机器人...")
+        self.user = await self.http.login(self.token)
+        logger.info(f"已登录 QQ 官方机器人账号: {self.user}")
+        # 直接注入到 botpy 的 Client，移花接木！
+        self.client.api = self.api
+        self.client.http = self.http
+
+        async def bot_connect():
+            pass
+
+        self._connection = ConnectionSession(
+            max_async=1,
+            connect=bot_connect,
+            dispatch=self.client.ws_dispatch,
+            loop=asyncio.get_event_loop(),
+            api=self.api,
+        )
+
+    async def repeat_seed(self, bot_secret: str, target_size: int = 32) -> bytes:
+        seed = bot_secret
+        while len(seed) < target_size:
+            seed *= 2
+        return seed[:target_size].encode("utf-8")
+
+    async def webhook_validation(self, validation_payload: dict):
+        seed = await self.repeat_seed(self.secret)
+        private_key = ed25519.Ed25519PrivateKey.from_private_bytes(seed)
+        msg = validation_payload.get("event_ts", "") + validation_payload.get(
+            "plain_token", ""
+        )
+        # sign
+        signature = private_key.sign(msg.encode()).hex()
+        response = {
+            "plain_token": validation_payload.get("plain_token"),
+            "signature": signature,
+        }
+        return response
+
+    async def callback(self):
+        msg: dict = await quart.request.json
+        logger.debug(f"收到 qq_official_webhook 回调: {msg}")
+
+        event = msg.get("t")
+        opcode = msg.get("op")
+        data = msg.get("d")
+
+        if opcode == 13:
+            # validation
+            signed = await self.webhook_validation(data)
+            print(signed)
+            return signed
+
+        if event and opcode == BotWebSocket.WS_DISPATCH_EVENT:
+            event = msg["t"].lower()
+            try:
+                func = self._connection.parser[event]
+            except KeyError:
+                logger.error("_parser unknown event %s.", event)
+            else:
+                func(msg)
+
+        return {"opcode": 12}
+
+    async def start_polling(self):
+        logger.info(
+            f"将在 {self.callback_server_host}:{self.port} 端口启动 QQ 官方机器人 webhook 适配器。"
+        )
+        await self.server.run_task(
+            host=self.callback_server_host,
+            port=self.port,
+            shutdown_trigger=self.shutdown_trigger,
+        )
+
+    async def shutdown_trigger(self):
+        await self.shutdown_event.wait()

astrbot/core/platform/sources/telegram/tg_adapter.py

@@ -0,0 +1,253 @@
+import sys
+import uuid
+import asyncio
+import astrbot.api.message_components as Comp
+
+from astrbot.api.platform import (
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    PlatformMetadata,
+    MessageType,
+)
+from astrbot.api.event import MessageChain
+from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.api.platform import register_platform_adapter
+
+from telegram import Update
+from telegram.ext import ApplicationBuilder, ContextTypes, filters
+from telegram.constants import ChatType
+from telegram.ext import MessageHandler as TelegramMessageHandler
+from .tg_event import TelegramPlatformEvent
+from astrbot.api import logger
+from telegram.ext import ExtBot
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
+
+@register_platform_adapter("telegram", "telegram 适配器")
+class TelegramPlatformAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+        self.config = platform_config
+        self.settings = platform_settings
+        self.client_self_id = uuid.uuid4().hex[:8]
+
+        base_url = self.config.get(
+            "telegram_api_base_url", "https://api.telegram.org/bot"
+        )
+        if not base_url:
+            base_url = "https://api.telegram.org/bot"
+
+        file_base_url = self.config.get(
+            "telegram_file_base_url", "https://api.telegram.org/file/bot"
+        )
+        if not file_base_url:
+            file_base_url = "https://api.telegram.org/file/bot"
+
+        self.base_url = base_url
+
+        self.application = (
+            ApplicationBuilder()
+            .token(self.config["telegram_token"])
+            .base_url(base_url)
+            .base_file_url(file_base_url)
+            .build()
+        )
+        message_handler = TelegramMessageHandler(
+            filters=filters.ALL,  # receive all messages
+            callback=self.message_handler,
+        )
+        self.application.add_handler(message_handler)
+        self.client = self.application.bot
+        logger.debug(f"Telegram base url: {self.client.base_url}")
+
+    @override
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        from_username = session.session_id
+        await TelegramPlatformEvent.send_with_client(
+            self.client, message_chain, from_username
+        )
+        await super().send_by_session(session, message_chain)
+
+    @override
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "telegram",
+            "telegram 适配器",
+        )
+
+    @override
+    async def run(self):
+        await self.application.initialize()
+        await self.application.start()
+        queue = self.application.updater.start_polling()
+        logger.info("Telegram Platform Adapter is running.")
+        await queue
+
+    async def start(self, update: Update, context: ContextTypes.DEFAULT_TYPE):
+        await context.bot.send_message(
+            chat_id=update.effective_chat.id, text=self.config["start_message"]
+        )
+
+    async def message_handler(self, update: Update, context: ContextTypes.DEFAULT_TYPE):
+        logger.debug(f"Telegram message: {update.message}")
+        abm = await self.convert_message(update, context)
+        if abm:
+            await self.handle_msg(abm)
+
+    async def convert_message(
+        self, update: Update, context: ContextTypes.DEFAULT_TYPE, get_reply=True
+    ) -> AstrBotMessage:
+        """转换 Telegram 的消息对象为 AstrBotMessage 对象。
+
+        @param update: Telegram 的 Update 对象。
+        @param context: Telegram 的 Context 对象。
+        @param get_reply: 是否获取回复消息。这个参数是为了防止多个回复嵌套。
+        """
+        message = AstrBotMessage()
+        message.session_id = str(update.message.chat.id)
+        # 获得是群聊还是私聊
+        if update.message.chat.type == ChatType.PRIVATE:
+            message.type = MessageType.FRIEND_MESSAGE
+        else:
+            message.type = MessageType.GROUP_MESSAGE
+            message.group_id = str(update.message.chat.id)
+            if update.message.message_thread_id:
+                # Topic Group
+                message.group_id += "#" + str(update.message.message_thread_id)
+                message.session_id = message.group_id
+
+        message.message_id = str(update.message.message_id)
+        message.sender = MessageMember(
+            str(update.message.from_user.id), update.message.from_user.username
+        )
+        message.self_id = str(context.bot.username)
+        message.raw_message = update
+        message.message_str = ""
+        message.message = []
+
+        if update.message.reply_to_message and not (
+            update.message.is_topic_message
+            and update.message.message_thread_id
+            == update.message.reply_to_message.message_id
+        ):
+            # 获取回复消息
+            reply_update = Update(
+                update_id=1,
+                message=update.message.reply_to_message,
+            )
+            reply_abm = await self.convert_message(reply_update, context, False)
+
+            message.message.append(
+                Comp.Reply(
+                    id=reply_abm.message_id,
+                    chain=reply_abm.message,
+                    sender_id=reply_abm.sender.user_id,
+                    sender_nickname=reply_abm.sender.nickname,
+                    time=reply_abm.timestamp,
+                    message_str=reply_abm.message_str,
+                    text=reply_abm.message_str,
+                    qq=reply_abm.sender.user_id,
+                )
+            )
+
+        if update.message.text:
+            # 处理文本消息
+            plain_text = update.message.text
+
+            if update.message.entities:
+                for entity in update.message.entities:
+                    if entity.type == "mention":
+                        name = plain_text[
+                            entity.offset + 1 : entity.offset + entity.length
+                        ]
+                        message.message.append(Comp.At(qq=name, name=name))
+                        plain_text = (
+                            plain_text[: entity.offset]
+                            + plain_text[entity.offset + entity.length :]
+                        )
+
+            if plain_text:
+                message.message.append(Comp.Plain(plain_text))
+            message.message_str = plain_text
+
+            if message.message_str.strip() == "/start":
+                await self.start(update, context)
+                return
+
+        elif update.message.voice:
+            file = await update.message.voice.get_file()
+            message.message = [
+                Comp.Record(file=file.file_path, url=file.file_path),
+            ]
+
+        elif update.message.photo:
+            photo = update.message.photo[-1]  # get the largest photo
+            file = await photo.get_file()
+            message.message.append(Comp.Image(file=file.file_path, url=file.file_path))
+            if update.message.caption:
+                message.message_str = update.message.caption
+                message.message.append(Comp.Plain(message.message_str))
+            if update.message.caption_entities:
+                for entity in update.message.caption_entities:
+                    if entity.type == "mention":
+                        name = message.message_str[
+                            entity.offset + 1 : entity.offset + entity.length
+                        ]
+                        message.message.append(Comp.At(qq=name, name=name))
+
+        elif update.message.sticker:
+            # 将sticker当作图片处理
+            file = await update.message.sticker.get_file()
+            message.message.append(Comp.Image(file=file.file_path, url=file.file_path))
+            if update.message.sticker.emoji:
+                sticker_text = f"Sticker: {update.message.sticker.emoji}"
+                message.message_str = sticker_text
+                message.message.append(Comp.Plain(sticker_text))
+
+        elif update.message.document:
+            file = await update.message.document.get_file()
+            message.message = [
+                Comp.File(file=file.file_path, name=update.message.document.file_name),
+            ]
+
+        elif update.message.video:
+            file = await update.message.video.get_file()
+            message.message = [
+                Comp.Video(file=file.file_path, path=file.file_path),
+            ]
+
+        return message
+
+    async def handle_msg(self, message: AstrBotMessage):
+        message_event = TelegramPlatformEvent(
+            message_str=message.message_str,
+            message_obj=message,
+            platform_meta=self.meta(),
+            session_id=message.session_id,
+            client=self.client,
+        )
+        self.commit_event(message_event)
+
+    def get_client(self) -> ExtBot:
+        return self.client
+
+    async def terminate(self):
+        try:
+            await self.application.stop()
+
+            # 保险起见先判断是否存在updater对象
+            if self.application.updater is not None:
+                await self.application.updater.stop()
+
+            logger.info("Telegram 适配器已被优雅地关闭")
+        except Exception as e:
+            logger.error(f"Telegram 适配器关闭时出错: {e}")

astrbot/core/platform/sources/telegram/tg_event.py

@@ -0,0 +1,72 @@
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.platform import AstrBotMessage, PlatformMetadata, MessageType
+from astrbot.api.message_components import Plain, Image, Reply, At, File, Record
+from telegram.ext import ExtBot
+from astrbot.core.utils.io import download_file
+
+
+class TelegramPlatformEvent(AstrMessageEvent):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+        client: ExtBot,
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.client = client
+
+    @staticmethod
+    async def send_with_client(client: ExtBot, message: MessageChain, user_name: str):
+        image_path = None
+
+        has_reply = False
+        reply_message_id = None
+        at_user_id = None
+        for i in message.chain:
+            if isinstance(i, Reply):
+                has_reply = True
+                reply_message_id = i.id
+            if isinstance(i, At):
+                at_user_id = i.name
+
+        at_flag = False
+        message_thread_id = None
+        if "#" in user_name:
+            # it's a supergroup chat with message_thread_id
+            user_name, message_thread_id = user_name.split("#")
+        for i in message.chain:
+            payload = {
+                "chat_id": user_name,
+            }
+            if has_reply:
+                payload["reply_to_message_id"] = reply_message_id
+            if message_thread_id:
+                payload["message_thread_id"] = message_thread_id
+
+            if isinstance(i, Plain):
+                if at_user_id and not at_flag:
+                    i.text = f"@{at_user_id} " + i.text
+                    at_flag = True
+                await client.send_message(text=i.text, **payload)
+            elif isinstance(i, Image):
+                image_path = await i.convert_to_file_path()
+                await client.send_photo(photo=image_path, **payload)
+            elif isinstance(i, File):
+                if i.file.startswith("https://"):
+                    path = "data/temp/" + i.name
+                    await download_file(i.file, path)
+                    i.file = path
+
+                await client.send_document(document=i.file, filename=i.name, **payload)
+            elif isinstance(i, Record):
+                path = await i.convert_to_file_path()
+                await client.send_voice(voice=path, **payload)
+
+    async def send(self, message: MessageChain):
+        if self.get_message_type() == MessageType.GROUP_MESSAGE:
+            await self.send_with_client(self.client, message, self.message_obj.group_id)
+        else:
+            await self.send_with_client(self.client, message, self.get_sender_id())
+        await super().send(message)

astrbot/core/platform/sources/webchat/webchat_adapter.py

@@ -0,0 +1,125 @@
+import time
+import asyncio
+import uuid
+import os
+from typing import Awaitable, Any
+from astrbot.core.platform import (
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+)
+from astrbot.core.message.message_event_result import MessageChain
+from astrbot.core.message.components import Plain, Image, Record  # noqa: F403
+from astrbot import logger
+from astrbot.core import web_chat_queue
+from .webchat_event import WebChatMessageEvent
+from astrbot.core.platform.astr_message_event import MessageSesion
+from ...register import register_platform_adapter
+
+
+class QueueListener:
+    def __init__(self, queue: asyncio.Queue, callback: callable) -> None:
+        self.queue = queue
+        self.callback = callback
+
+    async def run(self):
+        while True:
+            data = await self.queue.get()
+            await self.callback(data)
+
+
+@register_platform_adapter("webchat", "webchat")
+class WebChatAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+
+        self.config = platform_config
+        self.settings = platform_settings
+        self.unique_session = platform_settings["unique_session"]
+        self.imgs_dir = "data/webchat/imgs"
+
+        self.metadata = PlatformMetadata(
+            "webchat",
+            "webchat",
+        )
+
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        await WebChatMessageEvent._send(message_chain, session.session_id)
+        await super().send_by_session(session, message_chain)
+
+    async def convert_message(self, data: tuple) -> AstrBotMessage:
+        username, cid, payload = data
+
+        abm = AstrBotMessage()
+        abm.self_id = "webchat"
+        abm.tag = "webchat"
+        abm.sender = MessageMember(username, username)
+
+        abm.type = MessageType.FRIEND_MESSAGE
+
+        abm.session_id = f"webchat!{username}!{cid}"
+
+        abm.message_id = str(uuid.uuid4())
+        abm.message = []
+
+        if payload["message"]:
+            abm.message.append(Plain(payload["message"]))
+        if payload["image_url"]:
+            if isinstance(payload["image_url"], list):
+                for img in payload["image_url"]:
+                    abm.message.append(
+                        Image.fromFileSystem(os.path.join(self.imgs_dir, img))
+                    )
+            else:
+                abm.message.append(
+                    Image.fromFileSystem(
+                        os.path.join(self.imgs_dir, payload["image_url"])
+                    )
+                )
+        if payload["audio_url"]:
+            if isinstance(payload["audio_url"], list):
+                for audio in payload["audio_url"]:
+                    path = os.path.join(self.imgs_dir, audio)
+                    abm.message.append(Record(file=path, path=path))
+            else:
+                path = os.path.join(self.imgs_dir, payload["audio_url"])
+                abm.message.append(Record(file=path, path=path))
+
+        logger.debug(f"WebChatAdapter: {abm.message}")
+
+        message_str = payload["message"]
+        abm.timestamp = int(time.time())
+        abm.message_str = message_str
+        abm.raw_message = data
+        return abm
+
+    def run(self) -> Awaitable[Any]:
+        async def callback(data: tuple):
+            abm = await self.convert_message(data)
+            await self.handle_msg(abm)
+
+        bot = QueueListener(web_chat_queue, callback)
+        return bot.run()
+
+    def meta(self) -> PlatformMetadata:
+        return self.metadata
+
+    async def handle_msg(self, message: AstrBotMessage):
+        message_event = WebChatMessageEvent(
+            message_str=message.message_str,
+            message_obj=message,
+            platform_meta=self.meta(),
+            session_id=message.session_id,
+        )
+
+        self.commit_event(message_event)
+
+    async def terminate(self):
+        # Do nothing
+        pass

astrbot/core/platform/sources/webchat/webchat_event.py

@@ -0,0 +1,56 @@
+import os
+import uuid
+import base64
+from astrbot.api import logger
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.message_components import Plain, Image
+from astrbot.core.utils.io import download_image_by_url
+from astrbot.core import web_chat_back_queue
+
+imgs_dir = "data/webchat/imgs"
+
+
+class WebChatMessageEvent(AstrMessageEvent):
+    def __init__(self, message_str, message_obj, platform_meta, session_id):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        os.makedirs(imgs_dir, exist_ok=True)
+
+    @staticmethod
+    async def _send(message: MessageChain, session_id: str):
+        if not message:
+            web_chat_back_queue.put_nowait(None)
+            return
+
+        cid = session_id.split("!")[-1]
+
+        for comp in message.chain:
+            if isinstance(comp, Plain):
+                web_chat_back_queue.put_nowait((comp.text, cid))
+            elif isinstance(comp, Image):
+                # save image to local
+                filename = str(uuid.uuid4()) + ".jpg"
+                path = os.path.join(imgs_dir, filename)
+                if comp.file and comp.file.startswith("file:///"):
+                    ph = comp.file[8:]
+                    with open(path, "wb") as f:
+                        with open(ph, "rb") as f2:
+                            f.write(f2.read())
+                elif comp.file.startswith("base64://"):
+                    base64_str = comp.file[9:]
+                    image_data = base64.b64decode(base64_str)
+                    with open(path, "wb") as f:
+                        f.write(image_data)
+                elif comp.file and comp.file.startswith("http"):
+                    await download_image_by_url(comp.file, path=path)
+                else:
+                    with open(path, "wb") as f:
+                        with open(comp.file, "rb") as f2:
+                            f.write(f2.read())
+                web_chat_back_queue.put_nowait((f"[IMAGE]{filename}", cid))
+            else:
+                logger.debug(f"webchat 忽略: {comp.type}")
+        web_chat_back_queue.put_nowait(None)
+
+    async def send(self, message: MessageChain):
+        await WebChatMessageEvent._send(message, session_id=self.session_id)
+        await super().send(message)

astrbot/core/platform/sources/wecom/wecom_adapter.py

@@ -0,0 +1,241 @@
+import sys
+import uuid
+import asyncio
+import quart
+
+from astrbot.api.platform import (
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    PlatformMetadata,
+    MessageType,
+)
+from astrbot.api.event import MessageChain
+from astrbot.api.message_components import Plain, Image, Record
+from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.api.platform import register_platform_adapter
+from astrbot.core import logger
+from requests import Response
+
+from wechatpy.enterprise.crypto import WeChatCrypto
+from wechatpy.enterprise import WeChatClient
+from wechatpy.enterprise.messages import TextMessage, ImageMessage, VoiceMessage
+from wechatpy.exceptions import InvalidSignatureException
+from wechatpy.enterprise import parse_message
+from .wecom_event import WecomPlatformEvent
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
+
+class WecomServer:
+    def __init__(self, event_queue: asyncio.Queue, config: dict):
+        self.server = quart.Quart(__name__)
+        self.port = int(config.get("port"))
+        self.callback_server_host = config.get("callback_server_host", "0.0.0.0")
+        self.server.add_url_rule(
+            "/callback/command", view_func=self.verify, methods=["GET"]
+        )
+        self.server.add_url_rule(
+            "/callback/command", view_func=self.callback_command, methods=["POST"]
+        )
+        self.event_queue = event_queue
+
+        self.crypto = WeChatCrypto(
+            config["token"].strip(),
+            config["encoding_aes_key"].strip(),
+            config["corpid"].strip(),
+        )
+
+        self.callback = None
+        self.shutdown_event = asyncio.Event()
+
+    async def verify(self):
+        logger.info(f"验证请求有效性: {quart.request.args}")
+        args = quart.request.args
+        try:
+            echo_str = self.crypto.check_signature(
+                args.get("msg_signature"),
+                args.get("timestamp"),
+                args.get("nonce"),
+                args.get("echostr"),
+            )
+            logger.info("验证请求有效性成功。")
+            return echo_str
+        except InvalidSignatureException:
+            logger.error("验证请求有效性失败，签名异常，请检查配置。")
+            raise
+
+    async def callback_command(self):
+        data = await quart.request.get_data()
+        msg_signature = quart.request.args.get("msg_signature")
+        timestamp = quart.request.args.get("timestamp")
+        nonce = quart.request.args.get("nonce")
+        try:
+            xml = self.crypto.decrypt_message(data, msg_signature, timestamp, nonce)
+        except InvalidSignatureException:
+            logger.error("解密失败，签名异常，请检查配置。")
+            raise
+        else:
+            msg = parse_message(xml)
+            logger.info(f"解析成功: {msg}")
+
+            if self.callback:
+                await self.callback(msg)
+
+        return "success"
+
+    async def start_polling(self):
+        logger.info(
+            f"将在 {self.callback_server_host}:{self.port} 端口启动 企业微信 适配器。"
+        )
+        await self.server.run_task(
+            host=self.callback_server_host,
+            port=self.port,
+            shutdown_trigger=self.shutdown_trigger,
+        )
+
+    async def shutdown_trigger(self):
+        await self.shutdown_event.wait()
+
+
+@register_platform_adapter("wecom", "wecom 适配器")
+class WecomPlatformAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+        self.config = platform_config
+        self.settingss = platform_settings
+        self.client_self_id = uuid.uuid4().hex[:8]
+        self.api_base_url = platform_config.get(
+            "api_base_url", "https://qyapi.weixin.qq.com/cgi-bin/"
+        )
+
+        if not self.api_base_url:
+            self.api_base_url = "https://qyapi.weixin.qq.com/cgi-bin/"
+
+        if self.api_base_url.endswith("/"):
+            self.api_base_url = self.api_base_url[:-1]
+        if not self.api_base_url.endswith("/cgi-bin"):
+            self.api_base_url += "/cgi-bin"
+
+        if not self.api_base_url.endswith("/"):
+            self.api_base_url += "/"
+
+        self.server = WecomServer(self._event_queue, self.config)
+
+        self.client = WeChatClient(
+            self.config["corpid"].strip(),
+            self.config["secret"].strip(),
+        )
+        self.client.API_BASE_URL = self.api_base_url
+
+        async def callback(msg):
+            await self.convert_message(msg)
+
+        self.server.callback = callback
+
+    @override
+    async def send_by_session(
+        self, session: MessageSesion, message_chain: MessageChain
+    ):
+        await super().send_by_session(session, message_chain)
+
+    @override
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "wecom",
+            "wecom 适配器",
+        )
+
+    @override
+    async def run(self):
+        await self.server.start_polling()
+
+    async def convert_message(self, msg):
+        abm = AstrBotMessage()
+        if msg.type == "text":
+            assert isinstance(msg, TextMessage)
+            abm.message_str = msg.content
+            abm.self_id = str(msg.agent)
+            abm.message = [Plain(msg.content)]
+            abm.type = MessageType.FRIEND_MESSAGE
+            abm.sender = MessageMember(
+                msg.source,
+                msg.source,
+            )
+            abm.message_id = msg.id
+            abm.timestamp = msg.time
+            abm.session_id = abm.sender.user_id
+            abm.raw_message = msg
+        elif msg.type == "image":
+            assert isinstance(msg, ImageMessage)
+            abm.message_str = "[图片]"
+            abm.self_id = str(msg.agent)
+            abm.message = [Image(file=msg.image, url=msg.image)]
+            abm.type = MessageType.FRIEND_MESSAGE
+            abm.sender = MessageMember(
+                msg.source,
+                msg.source,
+            )
+            abm.message_id = msg.id
+            abm.timestamp = msg.time
+            abm.session_id = abm.sender.user_id
+            abm.raw_message = msg
+        elif msg.type == "voice":
+            assert isinstance(msg, VoiceMessage)
+
+            resp: Response = await asyncio.get_event_loop().run_in_executor(
+                None, self.client.media.download, msg.media_id
+            )
+            path = f"data/temp/wecom_{msg.media_id}.amr"
+            with open(path, "wb") as f:
+                f.write(resp.content)
+
+            try:
+                from pydub import AudioSegment
+
+                path_wav = f"data/temp/wecom_{msg.media_id}.wav"
+                audio = AudioSegment.from_file(path)
+                audio.export(path_wav, format="wav")
+            except Exception as e:
+                logger.error(f"转换音频失败: {e}。如果没有安装 ffmpeg 请先安装。")
+                path_wav = path
+                return
+
+            abm.message_str = ""
+            abm.self_id = str(msg.agent)
+            abm.message = [Record(file=path_wav, url=path_wav)]
+            abm.type = MessageType.FRIEND_MESSAGE
+            abm.sender = MessageMember(
+                msg.source,
+                msg.source,
+            )
+            abm.message_id = msg.id
+            abm.timestamp = msg.time
+            abm.session_id = abm.sender.user_id
+            abm.raw_message = msg
+
+        logger.info(f"abm: {abm}")
+        await self.handle_msg(abm)
+
+    async def handle_msg(self, message: AstrBotMessage):
+        message_event = WecomPlatformEvent(
+            message_str=message.message_str,
+            message_obj=message,
+            platform_meta=self.meta(),
+            session_id=message.session_id,
+            client=self.client,
+        )
+        self.commit_event(message_event)
+
+    def get_client(self) -> WeChatClient:
+        return self.client
+
+    async def terminate(self):
+        self.server.shutdown_event.set()
+        await self.server.server.shutdown()
+        logger.info("企业微信 适配器已被优雅地关闭")

astrbot/core/platform/sources/wecom/wecom_event.py

@@ -0,0 +1,86 @@
+import uuid
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.platform import AstrBotMessage, PlatformMetadata
+from astrbot.api.message_components import Plain, Image, Record
+from wechatpy.enterprise import WeChatClient
+
+from astrbot.api import logger
+
+try:
+    import pydub
+except Exception:
+    logger.warning(
+        "检测到 pydub 库未安装，企业微信将无法语音收发。如需使用语音，请前往管理面板 -> 控制台 -> 安装 Pip 库安装 pydub。"
+    )
+    pass
+
+
+class WecomPlatformEvent(AstrMessageEvent):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+        client: WeChatClient,
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.client = client
+
+    @staticmethod
+    async def send_with_client(
+        client: WeChatClient, message: MessageChain, user_name: str
+    ):
+        pass
+
+    async def send(self, message: MessageChain):
+        message_obj = self.message_obj
+
+        for comp in message.chain:
+            if isinstance(comp, Plain):
+                self.client.message.send_text(
+                    message_obj.self_id, message_obj.session_id, comp.text
+                )
+            elif isinstance(comp, Image):
+                img_path = await comp.convert_to_file_path()
+
+                with open(img_path, "rb") as f:
+                    try:
+                        response = self.client.media.upload("image", f)
+                    except Exception as e:
+                        logger.error(f"企业微信上传图片失败: {e}")
+                        await self.send(
+                            MessageChain().message(f"企业微信上传图片失败: {e}")
+                        )
+                        return
+                    logger.info(f"企业微信上传图片返回: {response}")
+                    self.client.message.send_image(
+                        message_obj.self_id,
+                        message_obj.session_id,
+                        response["media_id"],
+                    )
+            elif isinstance(comp, Record):
+                record_path = await comp.convert_to_file_path()
+                # 转成amr
+                record_path_amr = f"data/temp/{uuid.uuid4()}.amr"
+                pydub.AudioSegment.from_wav(record_path).export(
+                    record_path_amr, format="amr"
+                )
+
+                with open(record_path_amr, "rb") as f:
+                    try:
+                        response = self.client.media.upload("voice", f)
+                    except Exception as e:
+                        logger.error(f"企业微信上传语音失败: {e}")
+                        await self.send(
+                            MessageChain().message(f"企业微信上传语音失败: {e}")
+                        )
+                        return
+                    logger.info(f"企业微信上传语音返回: {response}")
+                    self.client.message.send_voice(
+                        message_obj.self_id,
+                        message_obj.session_id,
+                        response["media_id"],
+                    )
+
+        await super().send(message)

astrbot/core/provider/__init__.py

@@ -0,0 +1,5 @@
+from .provider import Provider, Personality, STTProvider
+
+from .entites import ProviderMetaData
+
+__all__ = ["Provider", "Personality", "ProviderMetaData", "STTProvider"]

astrbot/core/provider/entites.py

@@ -0,0 +1,269 @@
+import enum
+import base64
+import json
+from astrbot.core.utils.io import download_image_by_url
+from astrbot import logger
+from dataclasses import dataclass, field
+from typing import List, Dict, Type
+from .func_tool_manager import FuncCall
+from openai.types.chat.chat_completion import ChatCompletion
+from openai.types.chat.chat_completion_message_tool_call import (
+    ChatCompletionMessageToolCall,
+)
+from astrbot.core.db.po import Conversation
+from astrbot.core.message.message_event_result import MessageChain
+import astrbot.core.message.components as Comp
+
+
+class ProviderType(enum.Enum):
+    CHAT_COMPLETION = "chat_completion"
+    SPEECH_TO_TEXT = "speech_to_text"
+    TEXT_TO_SPEECH = "text_to_speech"
+
+
+@dataclass
+class ProviderMetaData:
+    type: str
+    """提供商适配器名称，如 openai, ollama"""
+    desc: str = ""
+    """提供商适配器描述."""
+    provider_type: ProviderType = ProviderType.CHAT_COMPLETION
+    cls_type: Type = None
+
+    default_config_tmpl: dict = None
+    """平台的默认配置模板"""
+    provider_display_name: str = None
+    """显示在 WebUI 配置页中的提供商名称，如空则是 type"""
+
+
+@dataclass
+class ToolCallMessageSegment:
+    """OpenAI 格式的上下文中 role 为 tool 的消息段。参考: https://platform.openai.com/docs/guides/function-calling"""
+
+    tool_call_id: str
+    content: str
+    role: str = "tool"
+
+    def to_dict(self):
+        return {
+            "tool_call_id": self.tool_call_id,
+            "content": self.content,
+            "role": self.role,
+        }
+
+
+@dataclass
+class AssistantMessageSegment:
+    """OpenAI 格式的上下文中 role 为 assistant 的消息段。参考: https://platform.openai.com/docs/guides/function-calling"""
+
+    content: str = None
+    tool_calls: List[ChatCompletionMessageToolCall | Dict] = None
+    role: str = "assistant"
+
+    def to_dict(self):
+        ret = {
+            "role": self.role,
+        }
+        if self.content:
+            ret["content"] = self.content
+        elif self.tool_calls:
+            ret["tool_calls"] = self.tool_calls
+        return ret
+
+
+@dataclass
+class ToolCallsResult:
+    """工具调用结果"""
+
+    tool_calls_info: AssistantMessageSegment
+    """函数调用的信息"""
+    tool_calls_result: List[ToolCallMessageSegment]
+    """函数调用的结果"""
+
+    def to_openai_messages(self) -> List[Dict]:
+        ret = [
+            self.tool_calls_info.to_dict(),
+            *[item.to_dict() for item in self.tool_calls_result],
+        ]
+        return ret
+
+
+@dataclass
+class ProviderRequest:
+    prompt: str
+    """提示词"""
+    session_id: str = ""
+    """会话 ID"""
+    image_urls: List[str] = None
+    """图片 URL 列表"""
+    func_tool: FuncCall = None
+    """可用的函数工具"""
+    contexts: List = None
+    """上下文。格式与 openai 的上下文格式一致：
+    参考 https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages
+    """
+    system_prompt: str = ""
+    """系统提示词"""
+    conversation: Conversation = None
+
+    tool_calls_result: ToolCallsResult = None
+    """附加的上次请求后工具调用的结果。参考: https://platform.openai.com/docs/guides/function-calling#handling-function-calls"""
+
+    def __repr__(self):
+        return f"ProviderRequest(prompt={self.prompt}, session_id={self.session_id}, image_urls={self.image_urls}, func_tool={self.func_tool}, contexts={self._print_friendly_context()}, system_prompt={self.system_prompt.strip()}, tool_calls_result={self.tool_calls_result})"
+
+    def __str__(self):
+        return self.__repr__()
+
+    def _print_friendly_context(self):
+        """打印友好的消息上下文。将 image_url 的值替换为 <Image>"""
+        if not self.contexts:
+            return f"prompt: {self.prompt}, image_count: {len(self.image_urls or [])}"
+
+        result_parts = []
+
+        for ctx in self.contexts:
+            role = ctx.get("role", "unknown")
+            content = ctx.get("content", "")
+
+            if isinstance(content, str):
+                result_parts.append(f"{role}: {content}")
+            elif isinstance(content, list):
+                msg_parts = []
+                image_count = 0
+
+                for item in content:
+                    item_type = item.get("type", "")
+
+                    if item_type == "text":
+                        msg_parts.append(item.get("text", ""))
+                    elif item_type == "image_url":
+                        image_count += 1
+
+                if image_count > 0:
+                    if msg_parts:
+                        msg_parts.append(f"[+{image_count} images]")
+                    else:
+                        msg_parts.append(f"[{image_count} images]")
+
+                result_parts.append(f"{role}: {''.join(msg_parts)}")
+
+        return result_parts
+
+    async def assemble_context(self) -> Dict:
+        """将请求(prompt 和 image_urls)包装成 OpenAI 的消息格式。"""
+        if self.image_urls:
+            user_content = {
+                "role": "user",
+                "content": [{"type": "text", "text": self.prompt}],
+            }
+            for image_url in self.image_urls:
+                if image_url.startswith("http"):
+                    image_path = await download_image_by_url(image_url)
+                    image_data = await self._encode_image_bs64(image_path)
+                elif image_url.startswith("file:///"):
+                    image_path = image_url.replace("file:///", "")
+                    image_data = await self._encode_image_bs64(image_path)
+                else:
+                    image_data = await self._encode_image_bs64(image_url)
+                if not image_data:
+                    logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
+                    continue
+                user_content["content"].append(
+                    {"type": "image_url", "image_url": {"url": image_data}}
+                )
+            return user_content
+        else:
+            return {"role": "user", "content": self.prompt}
+
+    async def _encode_image_bs64(self, image_url: str) -> str:
+        """将图片转换为 base64"""
+        if image_url.startswith("base64://"):
+            return image_url.replace("base64://", "data:image/jpeg;base64,")
+        with open(image_url, "rb") as f:
+            image_bs64 = base64.b64encode(f.read()).decode("utf-8")
+            return "data:image/jpeg;base64," + image_bs64
+        return ""
+
+
+@dataclass
+class LLMResponse:
+    role: str
+    """角色, assistant, tool, err"""
+    result_chain: MessageChain = None
+    """返回的消息链"""
+    tools_call_args: List[Dict[str, any]] = field(default_factory=list)
+    """工具调用参数"""
+    tools_call_name: List[str] = field(default_factory=list)
+    """工具调用名称"""
+    tools_call_ids: List[str] = field(default_factory=list)
+    """工具调用 ID"""
+
+    raw_completion: ChatCompletion = None
+    _new_record: Dict[str, any] = None
+
+    _completion_text: str = ""
+
+    def __init__(
+        self,
+        role: str,
+        completion_text: str = "",
+        result_chain: MessageChain = None,
+        tools_call_args: List[Dict[str, any]] = [],
+        tools_call_name: List[str] = [],
+        tools_call_ids: List[str] = [],
+        raw_completion: ChatCompletion = None,
+        _new_record: Dict[str, any] = None,
+    ):
+        """初始化 LLMResponse
+
+        Args:
+            role (str): 角色, assistant, tool, err
+            completion_text (str, optional): 返回的结果文本，已经过时，推荐使用 result_chain. Defaults to "".
+            result_chain (MessageChain, optional): 返回的消息链. Defaults to None.
+            tools_call_args (List[Dict[str, any]], optional): 工具调用参数. Defaults to None.
+            tools_call_name (List[str], optional): 工具调用名称. Defaults to None.
+            raw_completion (ChatCompletion, optional): 原始响应, OpenAI 格式. Defaults to None.
+        """
+        self.role = role
+        self.completion_text = completion_text
+        self.result_chain = result_chain
+        self.tools_call_args = tools_call_args
+        self.tools_call_name = tools_call_name
+        self.tools_call_ids = tools_call_ids
+        self.raw_completion = raw_completion
+        self._new_record = _new_record
+
+    @property
+    def completion_text(self):
+        if self.result_chain:
+            return self.result_chain.get_plain_text()
+        return self._completion_text
+
+    @completion_text.setter
+    def completion_text(self, value):
+        if self.result_chain:
+            self.result_chain.chain = [
+                comp
+                for comp in self.result_chain.chain
+                if not isinstance(comp, Comp.Plain)
+            ]  # 清空 Plain 组件
+            self.result_chain.chain.insert(0, Comp.Plain(value))
+        else:
+            self._completion_text = value
+
+    def to_openai_tool_calls(self) -> List[Dict]:
+        """将工具调用信息转换为 OpenAI 格式"""
+        ret = []
+        for idx, tool_call_arg in enumerate(self.tools_call_args):
+            ret.append(
+                {
+                    "id": self.tools_call_ids[idx],
+                    "function": {
+                        "name": self.tools_call_name[idx],
+                        "arguments": json.dumps(tool_call_arg),
+                    },
+                    "type": "function",
+                }
+            )
+        return ret

astrbot/core/provider/func_tool_manager.py

@@ -0,0 +1,489 @@
+from __future__ import annotations
+import json
+import textwrap
+import os
+import asyncio
+import copy
+
+from typing import Dict, List, Awaitable, Literal, Any
+from dataclasses import dataclass
+from typing import Optional
+from contextlib import AsyncExitStack
+from astrbot import logger
+
+try:
+    import mcp
+except (ModuleNotFoundError, ImportError):
+    logger.warning("警告: 缺少依赖库 'mcp'，将无法使用 MCP 服务。")
+
+DEFAULT_MCP_CONFIG = {"mcpServers": {}}
+
+SUPPORTED_TYPES = [
+    "string",
+    "number",
+    "object",
+    "array",
+    "boolean",
+]  # json schema 支持的数据类型
+
+
+@dataclass
+class FuncTool:
+    """
+    用于描述一个函数调用工具。
+    """
+
+    name: str
+    parameters: Dict
+    description: str
+    handler: Awaitable = None
+    """处理函数, 当 origin 为 mcp 时，这个为空"""
+    handler_module_path: str = None
+    """处理函数的模块路径，当 origin 为 mcp 时，这个为空
+
+    必须要保留这个字段, handler 在初始化会被 functools.partial 包装，导致 handler 的 __module__ 为 functools
+    """
+    active: bool = True
+    """是否激活"""
+
+    origin: Literal["local", "mcp"] = "local"
+    """函数工具的来源, local 为本地函数工具, mcp 为 MCP 服务"""
+
+    # MCP 相关字段
+    mcp_server_name: str = None
+    """MCP 服务名称，当 origin 为 mcp 时有效"""
+    mcp_client: MCPClient = None
+    """MCP 客户端，当 origin 为 mcp 时有效"""
+
+    def __repr__(self):
+        return f"FuncTool(name={self.name}, parameters={self.parameters}, description={self.description}, active={self.active}, origin={self.origin})"
+
+    async def execute(self, **args) -> Any:
+        """执行函数调用"""
+        if self.origin == "local":
+            if not self.handler:
+                raise Exception(f"Local function {self.name} has no handler")
+            return await self.handler(**args)
+        elif self.origin == "mcp":
+            if not self.mcp_client or not self.mcp_client.session:
+                raise Exception(f"MCP client for {self.name} is not available")
+            # 使用name属性而不是额外的mcp_tool_name
+            if ":" in self.name:
+                # 如果名字是格式为 mcp:server:tool_name，提取实际的工具名
+                actual_tool_name = self.name.split(":")[-1]
+                return await self.mcp_client.session.call_tool(actual_tool_name, args)
+            else:
+                return await self.mcp_client.session.call_tool(self.name, args)
+        else:
+            raise Exception(f"Unknown function origin: {self.origin}")
+
+
+class MCPClient:
+    def __init__(self):
+        # Initialize session and client objects
+        self.session: Optional[mcp.ClientSession] = None
+        self.exit_stack = AsyncExitStack()
+
+        self.name = None
+        self.active: bool = True
+        self.tools: List[mcp.Tool] = []
+
+    async def connect_to_server(self, mcp_server_config: dict):
+        """Connect to an MCP server
+
+        Args:
+            mcp_server_config (dict): Configuration for the MCP server. See https://modelcontextprotocol.io/quickstart/server
+        """
+        cfg = mcp_server_config.copy()
+        cfg.pop("active", None)
+        server_params = mcp.StdioServerParameters(
+            **cfg,
+        )
+
+        stdio_transport = await self.exit_stack.enter_async_context(
+            mcp.stdio_client(server_params)
+        )
+        self.stdio, self.write = stdio_transport
+        self.session = await self.exit_stack.enter_async_context(
+            mcp.ClientSession(self.stdio, self.write)
+        )
+
+        await self.session.initialize()
+
+    async def list_tools_and_save(self) -> mcp.ListToolsResult:
+        """List all tools from the server and save them to self.tools"""
+        response = await self.session.list_tools()
+        logger.debug(f"MCP server {self.name} list tools response: {response}")
+        self.tools = response.tools
+        return response
+
+    async def cleanup(self):
+        """Clean up resources"""
+        await self.exit_stack.aclose()
+
+
+class FuncCall:
+    def __init__(self) -> None:
+        self.func_list: List[FuncTool] = []
+        """内部加载的 func tools"""
+        self.mcp_client_dict: Dict[str, MCPClient] = {}
+        """MCP 服务列表"""
+        self.mcp_service_queue = asyncio.Queue()
+        """用于外部控制 MCP 服务的启停"""
+        self.mcp_client_event: Dict[str, asyncio.Event] = {}
+
+    def empty(self) -> bool:
+        return len(self.func_list) == 0
+
+    def add_func(
+        self,
+        name: str,
+        func_args: list,
+        desc: str,
+        handler: Awaitable,
+    ) -> None:
+        """添加函数调用工具
+
+        @param name: 函数名
+        @param func_args: 函数参数列表，格式为 [{"type": "string", "name": "arg_name", "description": "arg_description"}, ...]
+        @param desc: 函数描述
+        @param func_obj: 处理函数
+        """
+        # check if the tool has been added before
+        self.remove_func(name)
+
+        params = {
+            "type": "object",  # hard-coded here
+            "properties": {},
+        }
+        for param in func_args:
+            params["properties"][param["name"]] = {
+                "type": param["type"],
+                "description": param["description"],
+            }
+        _func = FuncTool(
+            name=name,
+            parameters=params,
+            description=desc,
+            handler=handler,
+        )
+        self.func_list.append(_func)
+        logger.info(f"添加函数调用工具: {name}")
+
+    def remove_func(self, name: str) -> None:
+        """
+        删除一个函数调用工具。
+        """
+        for i, f in enumerate(self.func_list):
+            if f.name == name:
+                self.func_list.pop(i)
+                break
+
+    def get_func(self, name) -> FuncTool:
+        for f in self.func_list:
+            if f.name == name:
+                return f
+        return None
+
+    async def _init_mcp_clients(self) -> None:
+        """从项目根目录读取 mcp_server.json 文件，初始化 MCP 服务列表。文件格式如下：
+        ```
+        {
+            "mcpServers": {
+                "weather": {
+                    "command": "uv",
+                    "args": [
+                        "--directory",
+                        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather",
+                        "run",
+                        "weather.py"
+                    ]
+                }
+            }
+            ...
+        }
+        ```
+        """
+        current_dir = os.path.dirname(os.path.abspath(__file__))
+        data_dir = os.path.abspath(os.path.join(current_dir, "../../../data"))
+
+        mcp_json_file = os.path.join(data_dir, "mcp_server.json")
+        if not os.path.exists(mcp_json_file):
+            # 配置文件不存在错误处理
+            with open(mcp_json_file, "w", encoding="utf-8") as f:
+                json.dump(DEFAULT_MCP_CONFIG, f, ensure_ascii=False, indent=4)
+            logger.info(f"未找到 MCP 服务配置文件，已创建默认配置文件 {mcp_json_file}")
+            return
+
+        mcp_server_json_obj: Dict[str, Dict] = json.load(
+            open(mcp_json_file, "r", encoding="utf-8")
+        )["mcpServers"]
+
+        for name in mcp_server_json_obj.keys():
+            cfg = mcp_server_json_obj[name]
+            if cfg.get("active", True):
+                event = asyncio.Event()
+                asyncio.create_task(
+                    self._init_mcp_client_task_wrapper(name, cfg, event)
+                )
+                self.mcp_client_event[name] = event
+
+    async def mcp_service_selector(self):
+        """为了避免在不同异步任务中控制 MCP 服务导致的报错，整个项目统一通过这个 Task 来控制
+
+        使用 self.mcp_service_queue.put_nowait() 来控制 MCP 服务的启停，数据格式如下：
+
+        {"type": "init"} 初始化所有MCP客户端
+
+        {"type": "init", "name": "mcp_server_name", "cfg": {...}} 初始化指定的MCP客户端
+
+        {"type": "terminate"} 终止所有MCP客户端
+
+        {"type": "terminate", "name": "mcp_server_name"} 终止指定的MCP客户端
+        """
+        while True:
+            data = await self.mcp_service_queue.get()
+            if data["type"] == "init":
+                if "name" in data:
+                    event = asyncio.Event()
+                    asyncio.create_task(
+                        self._init_mcp_client_task_wrapper(
+                            data["name"], data["cfg"], event
+                        )
+                    )
+                    self.mcp_client_event[data["name"]] = event
+                else:
+                    await self._init_mcp_clients()
+            elif data["type"] == "terminate":
+                if "name" in data:
+                    # await self._terminate_mcp_client(data["name"])
+                    if data["name"] in self.mcp_client_event:
+                        self.mcp_client_event[data["name"]].set()
+                        self.mcp_client_event.pop(data["name"], None)
+                else:
+                    for name in self.mcp_client_dict.keys():
+                        # await self._terminate_mcp_client(name)
+                        # self.mcp_client_event[name].set()
+                        if name in self.mcp_client_event:
+                            self.mcp_client_event[name].set()
+                            self.mcp_client_event.pop(name, None)
+
+    async def _init_mcp_client_task_wrapper(
+        self, name: str, cfg: dict, event: asyncio.Event
+    ) -> None:
+        """初始化 MCP 客户端的包装函数，用于捕获异常"""
+        try:
+            await self._init_mcp_client(name, cfg)
+            await event.wait()
+            logger.info(f"收到 MCP 客户端 {name} 终止信号")
+            await self._terminate_mcp_client(name)
+        except Exception as e:
+            logger.error(f"初始化 MCP 客户端 {name} 失败: {e}")
+
+    async def _init_mcp_client(self, name: str, config: dict) -> None:
+        """初始化单个MCP客户端"""
+        try:
+            # 先清理之前的客户端，如果存在
+            if name in self.mcp_client_dict:
+                await self._terminate_mcp_client(name)
+
+            mcp_client = MCPClient()
+            mcp_client.name = name
+            await mcp_client.connect_to_server(config)
+            tools_res = await mcp_client.list_tools_and_save()
+            tool_names = [tool.name for tool in tools_res.tools]
+            self.mcp_client_dict[name] = mcp_client
+
+            # 移除该MCP服务之前的工具（如有）
+            self.func_list = [
+                f
+                for f in self.func_list
+                if not (f.origin == "mcp" and f.mcp_server_name == name)
+            ]
+
+            # 将 MCP 工具转换为 FuncTool 并添加到 func_list
+            for tool in mcp_client.tools:
+                func_tool = FuncTool(
+                    name=tool.name,
+                    parameters=tool.inputSchema,
+                    description=tool.description,
+                    origin="mcp",
+                    mcp_server_name=name,
+                    mcp_client=mcp_client,
+                )
+                self.func_list.append(func_tool)
+
+            logger.info(f"已连接 MCP 服务 {name}, Tools: {tool_names}")
+            return True
+        except Exception as e:
+            logger.error(f"初始化 MCP 客户端 {name} 失败: {e}")
+            # 发生错误时确保客户端被清理
+            if name in self.mcp_client_dict:
+                await self._terminate_mcp_client(name)
+            return False
+
+    async def _terminate_mcp_client(self, name: str) -> None:
+        """关闭并清理MCP客户端"""
+        if name in self.mcp_client_dict:
+            try:
+                # 关闭MCP连接
+                await self.mcp_client_dict[name].cleanup()
+                del self.mcp_client_dict[name]
+            except Exception as e:
+                logger.info(f"清空 MCP 客户端资源 {name}: {e}。")
+            # 移除关联的FuncTool
+            self.func_list = [
+                f
+                for f in self.func_list
+                if not (f.origin == "mcp" and f.mcp_server_name == name)
+            ]
+            logger.info(f"已关闭 MCP 服务 {name}")
+
+    def get_func_desc_openai_style(self) -> list:
+        """
+        获得 OpenAI API 风格的**已经激活**的工具描述
+        """
+        _l = []
+        # 处理所有工具（包括本地和MCP工具）
+        for f in self.func_list:
+            if not f.active:
+                continue
+            _l.append(
+                {
+                    "type": "function",
+                    "function": {
+                        "name": f.name,
+                        "parameters": f.parameters,
+                        "description": f.description,
+                    },
+                }
+            )
+        return _l
+
+    def get_func_desc_anthropic_style(self) -> list:
+        """
+        获得 Anthropic API 风格的**已经激活**的工具描述
+        """
+        tools = []
+        for f in self.func_list:
+            if not f.active:
+                continue
+
+            # Convert internal format to Anthropic style
+            tool = {
+                "name": f.name,
+                "description": f.description,
+                "input_schema": {
+                    "type": "object",
+                    "properties": f.parameters.get("properties", {}),
+                    # Keep the required field from the original parameters if it exists
+                    "required": f.parameters.get("required", []),
+                },
+            }
+            tools.append(tool)
+        return tools
+
+    def get_func_desc_google_genai_style(self) -> Dict:
+        declarations = {}
+        tools = []
+        for f in self.func_list:
+            if not f.active:
+                continue
+
+            func_declaration = {"name": f.name, "description": f.description}
+
+            # 检查并添加非空的properties参数
+            params = f.parameters if isinstance(f.parameters, dict) else {}
+            params = copy.deepcopy(params)
+            if params.get("properties", {}):
+                properties = params["properties"]
+                for key, value in properties.items():
+                    if "default" in value:
+                        del value["default"]
+                params["properties"] = properties
+                func_declaration["parameters"] = params
+
+            tools.append(func_declaration)
+
+        if tools:
+            declarations["function_declarations"] = tools
+        return declarations
+
+    async def func_call(self, question: str, session_id: str, provider) -> tuple:
+        _l = []
+        for f in self.func_list:
+            if not f.active:
+                continue
+            _l.append(
+                {
+                    "name": f.name,
+                    "parameters": f.parameters,
+                    "description": f.description,
+                }
+            )
+        func_definition = json.dumps(_l, ensure_ascii=False)
+
+        prompt = textwrap.dedent(f"""
+            ROLE:
+            你是一个 Function calling AI Agent, 你的任务是将用户的提问转化为函数调用。
+
+            TOOLS:
+            可用的函数列表:
+
+            {func_definition}
+
+            LIMIT:
+            1. 你返回的内容应当能够被 Python 的 json 模块解析的 Json 格式字符串。
+            2. 你的 Json 返回的格式如下：`[{{"name": "<func_name>", "args": <arg_dict>}}, ...]`。参数根据上面提供的函数列表中的参数来填写。
+            3. 允许必要时返回多个函数调用，但需保证这些函数调用的顺序正确。
+            4. 如果用户的提问中不需要用到给定的函数，请直接返回 `{{"res": False}}`。
+
+            EXAMPLE:
+            1. `用户提问`：请问一下天气怎么样？ `函数调用`：[{{"name": "get_weather", "args": {{"city": "北京"}}}}]
+
+            用户的提问是：{question}
+        """)
+
+        _c = 0
+        while _c < 3:
+            try:
+                res = await provider.text_chat(prompt, session_id)
+                if res.find("```") != -1:
+                    res = res[res.find("```json") + 7 : res.rfind("```")]
+                res = json.loads(res)
+                break
+            except Exception as e:
+                _c += 1
+                if _c == 3:
+                    raise e
+                if "The message you submitted was too long" in str(e):
+                    raise e
+
+        if "res" in res and not res["res"]:
+            return "", False
+
+        tool_call_result = []
+        for tool in res:
+            # 说明有函数调用
+            func_name = tool["name"]
+            args = tool["args"]
+            # 调用函数
+            func_tool = self.get_func(func_name)
+            if not func_tool:
+                raise Exception(f"Request function {func_name} not found.")
+
+            ret = await func_tool.execute(**args)
+            if ret:
+                tool_call_result.append(str(ret))
+        return tool_call_result, True
+
+    def __str__(self):
+        return str(self.func_list)
+
+    def __repr__(self):
+        return str(self.func_list)
+
+    async def terminate(self):
+        for name in self.mcp_client_dict.keys():
+            await self._terminate_mcp_client(name)
+            logger.debug(f"清理 MCP 客户端 {name} 资源")

astrbot/core/provider/manager.py

@@ -0,0 +1,350 @@
+import traceback
+import asyncio
+from astrbot.core.config.astrbot_config import AstrBotConfig
+from .provider import Provider, STTProvider, TTSProvider, Personality
+from .entites import ProviderType
+from typing import List
+from astrbot.core.db import BaseDatabase
+from .register import provider_cls_map, llm_tools
+from astrbot.core import logger, sp
+
+
+class ProviderManager:
+    def __init__(self, config: AstrBotConfig, db_helper: BaseDatabase):
+        self.providers_config: List = config["provider"]
+        self.provider_settings: dict = config["provider_settings"]
+        self.provider_stt_settings: dict = config.get("provider_stt_settings", {})
+        self.provider_tts_settings: dict = config.get("provider_tts_settings", {})
+        self.persona_configs: list = config.get("persona", [])
+        self.astrbot_config = config
+
+        self.selected_provider_id = sp.get("curr_provider")
+        self.selected_stt_provider_id = self.provider_stt_settings.get("provider_id")
+        self.selected_tts_provider_id = self.provider_settings.get("provider_id")
+        self.provider_enabled = self.provider_settings.get("enable", False)
+        self.stt_enabled = self.provider_stt_settings.get("enable", False)
+        self.tts_enabled = self.provider_tts_settings.get("enable", False)
+
+        # 人格情景管理
+        # 目前没有拆成独立的模块
+        self.default_persona_name = self.provider_settings.get(
+            "default_personality", "default"
+        )
+        self.personas: List[Personality] = []
+        self.selected_default_persona = None
+        for persona in self.persona_configs:
+            begin_dialogs = persona.get("begin_dialogs", [])
+            mood_imitation_dialogs = persona.get("mood_imitation_dialogs", [])
+            bd_processed = []
+            mid_processed = ""
+            if begin_dialogs:
+                if len(begin_dialogs) % 2 != 0:
+                    logger.error(
+                        f"{persona['name']} 人格情景预设对话格式不对，条数应该为偶数。"
+                    )
+                    begin_dialogs = []
+                user_turn = True
+                for dialog in begin_dialogs:
+                    bd_processed.append(
+                        {
+                            "role": "user" if user_turn else "assistant",
+                            "content": dialog,
+                            "_no_save": None,  # 不持久化到 db
+                        }
+                    )
+                    user_turn = not user_turn
+            if mood_imitation_dialogs:
+                if len(mood_imitation_dialogs) % 2 != 0:
+                    logger.error(
+                        f"{persona['name']} 对话风格对话格式不对，条数应该为偶数。"
+                    )
+                    mood_imitation_dialogs = []
+                user_turn = True
+                for dialog in mood_imitation_dialogs:
+                    role = "A" if user_turn else "B"
+                    mid_processed += f"{role}: {dialog}\n"
+                    if not user_turn:
+                        mid_processed += "\n"
+                    user_turn = not user_turn
+
+            try:
+                persona = Personality(
+                    **persona,
+                    _begin_dialogs_processed=bd_processed,
+                    _mood_imitation_dialogs_processed=mid_processed,
+                )
+                if persona["name"] == self.default_persona_name:
+                    self.selected_default_persona = persona
+                self.personas.append(persona)
+            except Exception as e:
+                logger.error(f"解析 Persona 配置失败：{e}")
+
+        if not self.selected_default_persona and len(self.personas) > 0:
+            # 默认选择第一个
+            self.selected_default_persona = self.personas[0]
+
+        if not self.selected_default_persona:
+            self.selected_default_persona = Personality(
+                prompt="You are a helpful and friendly assistant.",
+                name="default",
+                _begin_dialogs_processed=[],
+                _mood_imitation_dialogs_processed="",
+            )
+            self.personas.append(self.selected_default_persona)
+
+        self.provider_insts: List[Provider] = []
+        """加载的 Provider 的实例"""
+        self.stt_provider_insts: List[STTProvider] = []
+        """加载的 Speech To Text Provider 的实例"""
+        self.tts_provider_insts: List[TTSProvider] = []
+        """加载的 Text To Speech Provider 的实例"""
+        self.inst_map = {}
+        """Provider 实例映射. key: provider_id, value: Provider 实例"""
+        self.llm_tools = llm_tools
+        self.curr_provider_inst: Provider = None
+        """当前使用的 Provider 实例"""
+        self.curr_stt_provider_inst: STTProvider = None
+        """当前使用的 Speech To Text Provider 实例"""
+        self.curr_tts_provider_inst: TTSProvider = None
+        """当前使用的 Text To Speech Provider 实例"""
+        self.db_helper = db_helper
+
+        # kdb(experimental)
+        self.curr_kdb_name = ""
+        kdb_cfg = config.get("knowledge_db", {})
+        if kdb_cfg and len(kdb_cfg):
+            self.curr_kdb_name = list(kdb_cfg.keys())[0]
+
+    async def initialize(self):
+        for provider_config in self.providers_config:
+            await self.load_provider(provider_config)
+
+        if not self.curr_provider_inst:
+            logger.warning("未启用任何用于 文本生成 的提供商适配器。")
+
+        if self.stt_enabled and not self.curr_stt_provider_inst:
+            logger.warning("未启用任何用于 语音转文本 的提供商适配器。")
+
+        if self.tts_enabled and not self.curr_tts_provider_inst:
+            logger.warning("未启用任何用于 文本转语音 的提供商适配器。")
+
+        # 初始化 MCP Client 连接
+        asyncio.create_task(
+            self.llm_tools.mcp_service_selector(), name="mcp-service-handler"
+        )
+        self.llm_tools.mcp_service_queue.put_nowait({"type": "init"})
+
+    async def load_provider(self, provider_config: dict):
+        if not provider_config["enable"]:
+            return
+
+        logger.info(
+            f"载入 {provider_config['type']}({provider_config['id']}) 服务提供商 ..."
+        )
+
+        # 动态导入
+        try:
+            match provider_config["type"]:
+                case "openai_chat_completion":
+                    from .sources.openai_source import (
+                        ProviderOpenAIOfficial as ProviderOpenAIOfficial,
+                    )
+                case "zhipu_chat_completion":
+                    from .sources.zhipu_source import ProviderZhipu as ProviderZhipu
+                case "anthropic_chat_completion":
+                    from .sources.anthropic_source import (
+                        ProviderAnthropic as ProviderAnthropic,
+                    )
+                case "llm_tuner":
+                    logger.info("加载 LLM Tuner 工具 ...")
+                    from .sources.llmtuner_source import (
+                        LLMTunerModelLoader as LLMTunerModelLoader,
+                    )
+                case "dify":
+                    from .sources.dify_source import ProviderDify as ProviderDify
+                case "dashscope":
+                    from .sources.dashscope_source import (
+                        ProviderDashscope as ProviderDashscope,
+                    )
+                case "googlegenai_chat_completion":
+                    from .sources.gemini_source import (
+                        ProviderGoogleGenAI as ProviderGoogleGenAI,
+                    )
+                case "sensevoice_stt_selfhost":
+                    from .sources.sensevoice_selfhosted_source import (
+                        ProviderSenseVoiceSTTSelfHost as ProviderSenseVoiceSTTSelfHost,
+                    )
+                case "openai_whisper_api":
+                    from .sources.whisper_api_source import (
+                        ProviderOpenAIWhisperAPI as ProviderOpenAIWhisperAPI,
+                    )
+                case "openai_whisper_selfhost":
+                    from .sources.whisper_selfhosted_source import (
+                        ProviderOpenAIWhisperSelfHost as ProviderOpenAIWhisperSelfHost,
+                    )
+                case "openai_tts_api":
+                    from .sources.openai_tts_api_source import (
+                        ProviderOpenAITTSAPI as ProviderOpenAITTSAPI,
+                    )
+                case "edge_tts":
+                    from .sources.edge_tts_source import (
+                        ProviderEdgeTTS as ProviderEdgeTTS,
+                    )
+                case "gsvi_tts_api":
+                    from .sources.gsvi_tts_source import (
+                        ProviderGSVITTS as ProviderGSVITTS,
+                    )
+                case "fishaudio_tts_api":
+                    from .sources.fishaudio_tts_api_source import (
+                        ProviderFishAudioTTSAPI as ProviderFishAudioTTSAPI,
+                    )
+        except (ImportError, ModuleNotFoundError) as e:
+            logger.critical(
+                f"加载 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}。可能是因为有未安装的依赖。"
+            )
+            return
+        except Exception as e:
+            logger.critical(
+                f"加载 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}。未知原因"
+            )
+            return
+
+        if provider_config["type"] not in provider_cls_map:
+            logger.error(
+                f"未找到适用于 {provider_config['type']}({provider_config['id']}) 的提供商适配器，请检查是否已经安装或者名称填写错误。已跳过。"
+            )
+            return
+
+        provider_metadata = provider_cls_map[provider_config["type"]]
+        try:
+            # 按任务实例化提供商
+
+            if provider_metadata.provider_type == ProviderType.SPEECH_TO_TEXT:
+                # STT 任务
+                inst = provider_metadata.cls_type(
+                    provider_config, self.provider_settings
+                )
+
+                if getattr(inst, "initialize", None):
+                    await inst.initialize()
+
+                self.stt_provider_insts.append(inst)
+                if (
+                    self.selected_stt_provider_id == provider_config["id"]
+                    and self.stt_enabled
+                ):
+                    self.curr_stt_provider_inst = inst
+                    logger.info(
+                        f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前语音转文本提供商适配器。"
+                    )
+                if not self.curr_stt_provider_inst and self.stt_enabled:
+                    self.curr_stt_provider_inst = inst
+
+            elif provider_metadata.provider_type == ProviderType.TEXT_TO_SPEECH:
+                # TTS 任务
+                inst = provider_metadata.cls_type(
+                    provider_config, self.provider_settings
+                )
+
+                if getattr(inst, "initialize", None):
+                    await inst.initialize()
+
+                self.tts_provider_insts.append(inst)
+                if (
+                    self.selected_tts_provider_id == provider_config["id"]
+                    and self.tts_enabled
+                ):
+                    self.curr_tts_provider_inst = inst
+                    logger.info(
+                        f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前文本转语音提供商适配器。"
+                    )
+                if not self.curr_tts_provider_inst and self.tts_enabled:
+                    self.curr_tts_provider_inst = inst
+
+            elif provider_metadata.provider_type == ProviderType.CHAT_COMPLETION:
+                # 文本生成任务
+                inst = provider_metadata.cls_type(
+                    provider_config,
+                    self.provider_settings,
+                    self.db_helper,
+                    self.provider_settings.get("persistant_history", True),
+                    self.selected_default_persona,
+                )
+
+                if getattr(inst, "initialize", None):
+                    await inst.initialize()
+
+                self.provider_insts.append(inst)
+                if (
+                    self.selected_provider_id == provider_config["id"]
+                    and self.provider_enabled
+                ):
+                    self.curr_provider_inst = inst
+                    logger.info(
+                        f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前提供商适配器。"
+                    )
+                if not self.curr_provider_inst and self.provider_enabled:
+                    self.curr_provider_inst = inst
+
+            self.inst_map[provider_config["id"]] = inst
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            logger.error(
+                f"实例化 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}"
+            )
+
+    async def reload(self, provider_config: dict):
+        await self.terminate_provider(provider_config["id"])
+        if provider_config["enable"]:
+            await self.load_provider(provider_config)
+
+        # 和配置文件保持同步
+        config_ids = [provider["id"] for provider in self.providers_config]
+        for key in list(self.inst_map.keys()):
+            if key not in config_ids:
+                await self.terminate_provider(key)
+
+        if len(self.provider_insts) == 0:
+            self.curr_provider_inst = None
+        if len(self.stt_provider_insts) == 0:
+            self.curr_stt_provider_inst = None
+        if len(self.tts_provider_insts) == 0:
+            self.curr_tts_provider_inst = None
+
+    def get_insts(self):
+        return self.provider_insts
+
+    async def terminate_provider(self, provider_id: str):
+        if provider_id in self.inst_map:
+            logger.info(
+                f"终止 {provider_id} 提供商适配器({len(self.provider_insts)}, {len(self.stt_provider_insts)}, {len(self.tts_provider_insts)}) ..."
+            )
+
+            if self.inst_map[provider_id] in self.provider_insts:
+                self.provider_insts.remove(self.inst_map[provider_id])
+            if self.inst_map[provider_id] in self.stt_provider_insts:
+                self.stt_provider_insts.remove(self.inst_map[provider_id])
+            if self.inst_map[provider_id] in self.tts_provider_insts:
+                self.tts_provider_insts.remove(self.inst_map[provider_id])
+
+            if self.inst_map[provider_id] == self.curr_provider_inst:
+                self.curr_provider_inst = None
+            if self.inst_map[provider_id] == self.curr_stt_provider_inst:
+                self.curr_stt_provider_inst = None
+            if self.inst_map[provider_id] == self.curr_tts_provider_inst:
+                self.curr_tts_provider_inst = None
+
+            if getattr(self.inst_map[provider_id], "terminate", None):
+                await self.inst_map[provider_id].terminate()
+
+            logger.info(
+                f"{provider_id} 提供商适配器已终止({len(self.provider_insts)}, {len(self.stt_provider_insts)}, {len(self.tts_provider_insts)})"
+            )
+            del self.inst_map[provider_id]
+
+    async def terminate(self):
+        for provider_inst in self.provider_insts:
+            if hasattr(provider_inst, "terminate"):
+                await provider_inst.terminate()
+        # 清理 MCP Client 连接
+        await self.llm_tools.mcp_service_queue.put({"type": "terminate"})

astrbot/core/provider/provider.py

@@ -0,0 +1,153 @@
+import abc
+from typing import List
+from astrbot.core.db import BaseDatabase
+from typing import TypedDict
+from astrbot.core.provider.func_tool_manager import FuncCall
+from astrbot.core.provider.entites import LLMResponse, ToolCallsResult
+from dataclasses import dataclass
+
+
+class Personality(TypedDict):
+    prompt: str = ""
+    name: str = ""
+    begin_dialogs: List[str] = []
+    mood_imitation_dialogs: List[str] = []
+
+    # cache
+    _begin_dialogs_processed: List[dict] = []
+    _mood_imitation_dialogs_processed: str = ""
+
+
+@dataclass
+class ProviderMeta:
+    id: str
+    model: str
+    type: str
+
+
+class AbstractProvider(abc.ABC):
+    def __init__(self, provider_config: dict) -> None:
+        super().__init__()
+        self.model_name = ""
+        self.provider_config = provider_config
+
+    def set_model(self, model_name: str):
+        """设置当前使用的模型名称"""
+        self.model_name = model_name
+
+    def get_model(self) -> str:
+        """获得当前使用的模型名称"""
+        return self.model_name
+
+    def meta(self) -> ProviderMeta:
+        """获取 Provider 的元数据"""
+        return ProviderMeta(
+            id=self.provider_config["id"],
+            model=self.get_model(),
+            type=self.provider_config["type"],
+        )
+
+
+class Provider(AbstractProvider):
+    def __init__(
+        self,
+        provider_config: dict,
+        provider_settings: dict,
+        persistant_history: bool = True,
+        db_helper: BaseDatabase = None,
+        default_persona: Personality = None,
+    ) -> None:
+        super().__init__(provider_config)
+
+        self.provider_settings = provider_settings
+
+        self.curr_personality: Personality = default_persona
+        """维护了当前的使用的 persona，即人格。可能为 None"""
+
+    @abc.abstractmethod
+    def get_current_key(self) -> str:
+        raise NotImplementedError()
+
+    def get_keys(self) -> List[str]:
+        """获得提供商 Key"""
+        return self.provider_config.get("key", [])
+
+    @abc.abstractmethod
+    def set_key(self, key: str):
+        raise NotImplementedError()
+
+    @abc.abstractmethod
+    def get_models(self) -> List[str]:
+        """获得支持的模型列表"""
+        raise NotImplementedError()
+
+    @abc.abstractmethod
+    async def text_chat(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = None,
+        func_tool: FuncCall = None,
+        contexts: List = None,
+        system_prompt: str = None,
+        tool_calls_result: ToolCallsResult = None,
+        **kwargs,
+    ) -> LLMResponse:
+        """获得 LLM 的文本对话结果。会使用当前的模型进行对话。
+
+        Args:
+            prompt: 提示词
+            session_id: 会话 ID(此属性已经被废弃)
+            image_urls: 图片 URL 列表
+            tools: Function-calling 工具
+            contexts: 上下文
+            tool_calls_result: 回传给 LLM 的工具调用结果。参考: https://platform.openai.com/docs/guides/function-calling
+            kwargs: 其他参数
+
+        Notes:
+            - 如果传入了 image_urls，将会在对话时附上图片。如果模型不支持图片输入，将会抛出错误。
+            - 如果传入了 tools，将会使用 tools 进行 Function-calling。如果模型不支持 Function-calling，将会抛出错误。
+        """
+        raise NotImplementedError()
+
+    async def pop_record(self, context: List):
+        """
+        弹出 context 第一条非系统提示词对话记录
+        """
+        poped = 0
+        indexs_to_pop = []
+        for idx, record in enumerate(context):
+            if record["role"] == "system":
+                continue
+            else:
+                indexs_to_pop.append(idx)
+                poped += 1
+                if poped == 2:
+                    break
+
+        for idx in reversed(indexs_to_pop):
+            context.pop(idx)
+
+
+class STTProvider(AbstractProvider):
+    def __init__(self, provider_config: dict, provider_settings: dict) -> None:
+        super().__init__(provider_config)
+        self.provider_config = provider_config
+        self.provider_settings = provider_settings
+
+    @abc.abstractmethod
+    async def get_text(self, audio_url: str) -> str:
+        """获取音频的文本"""
+        raise NotImplementedError()
+
+
+class TTSProvider(AbstractProvider):
+    def __init__(self, provider_config: dict, provider_settings: dict) -> None:
+        super().__init__(provider_config)
+        self.provider_config = provider_config
+        self.provider_settings = provider_settings
+
+    @abc.abstractmethod
+    async def get_audio(self, text: str) -> str:
+        """获取文本的音频，返回音频文件路径"""
+        raise NotImplementedError()

astrbot/core/provider/register.py

@@ -0,0 +1,51 @@
+from typing import List, Dict
+from .entites import ProviderMetaData, ProviderType
+from astrbot.core import logger
+from .func_tool_manager import FuncCall
+
+provider_registry: List[ProviderMetaData] = []
+"""维护了通过装饰器注册的 Provider"""
+provider_cls_map: Dict[str, ProviderMetaData] = {}
+"""维护了 Provider 类型名称和 ProviderMetadata 的映射"""
+
+llm_tools = FuncCall()
+
+
+def register_provider_adapter(
+    provider_type_name: str,
+    desc: str,
+    provider_type: ProviderType = ProviderType.CHAT_COMPLETION,
+    default_config_tmpl: dict = None,
+    provider_display_name: str = None,
+):
+    """用于注册平台适配器的带参装饰器"""
+
+    def decorator(cls):
+        if provider_type_name in provider_cls_map:
+            raise ValueError(
+                f"检测到大模型提供商适配器 {provider_type_name} 已经注册，可能发生了大模型提供商适配器类型命名冲突。"
+            )
+
+        # 添加必备选项
+        if default_config_tmpl:
+            if "type" not in default_config_tmpl:
+                default_config_tmpl["type"] = provider_type_name
+            if "enable" not in default_config_tmpl:
+                default_config_tmpl["enable"] = False
+            if "id" not in default_config_tmpl:
+                default_config_tmpl["id"] = provider_type_name
+
+        pm = ProviderMetaData(
+            type=provider_type_name,
+            desc=desc,
+            provider_type=provider_type,
+            cls_type=cls,
+            default_config_tmpl=default_config_tmpl,
+            provider_display_name=provider_display_name,
+        )
+        provider_registry.append(pm)
+        provider_cls_map[provider_type_name] = pm
+        logger.debug(f"服务提供商 Provider {provider_type_name} 已注册")
+        return cls
+
+    return decorator

astrbot/core/provider/sources/anthropic_source.py

@@ -0,0 +1,203 @@
+from typing import List
+from mimetypes import guess_type
+
+from anthropic import AsyncAnthropic
+from anthropic.types import Message
+
+from astrbot.core.utils.io import download_image_by_url
+from astrbot.core.db import BaseDatabase
+from astrbot.api.provider import Provider, Personality
+from astrbot import logger
+from astrbot.core.provider.func_tool_manager import FuncCall
+from ..register import register_provider_adapter
+from astrbot.core.provider.entites import LLMResponse, ToolCallsResult
+from .openai_source import ProviderOpenAIOfficial
+
+
+@register_provider_adapter(
+    "anthropic_chat_completion", "Anthropic Claude API 提供商适配器"
+)
+class ProviderAnthropic(ProviderOpenAIOfficial):
+    def __init__(
+        self,
+        provider_config: dict,
+        provider_settings: dict,
+        db_helper: BaseDatabase,
+        persistant_history=True,
+        default_persona: Personality = None,
+    ) -> None:
+        # Skip OpenAI's __init__ and call Provider's __init__ directly
+        Provider.__init__(
+            self,
+            provider_config,
+            provider_settings,
+            persistant_history,
+            db_helper,
+            default_persona,
+        )
+
+        self.chosen_api_key = None
+        self.api_keys: List = provider_config.get("key", [])
+        self.chosen_api_key = self.api_keys[0] if len(self.api_keys) > 0 else None
+        self.base_url = provider_config.get("api_base", "https://api.anthropic.com")
+        self.timeout = provider_config.get("timeout", 120)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+
+        self.client = AsyncAnthropic(
+            api_key=self.chosen_api_key, timeout=self.timeout, base_url=self.base_url
+        )
+
+        self.set_model(provider_config["model_config"]["model"])
+
+    async def _query(self, payloads: dict, tools: FuncCall) -> LLMResponse:
+        if tools:
+            tool_list = tools.get_func_desc_anthropic_style()
+            if tool_list:
+                payloads["tools"] = tool_list
+
+        completion = await self.client.messages.create(**payloads, stream=False)
+
+        assert isinstance(completion, Message)
+        logger.debug(f"completion: {completion}")
+
+        if len(completion.content) == 0:
+            raise Exception("API 返回的 completion 为空。")
+        # TODO: 如果进行函数调用，思维链被截断，用户可能需要思维链的内容
+        # 选最后一条消息，如果要进行函数调用，anthropic会先返回文本消息的思维链，然后再返回函数调用请求
+        content = completion.content[-1]
+
+        llm_response = LLMResponse("assistant")
+
+        if content.type == "text":
+            # text completion
+            completion_text = str(content.text).strip()
+            llm_response.completion_text = completion_text
+
+        # Anthropic每次只返回一个函数调用
+        if completion.stop_reason == "tool_use":
+            # tools call (function calling)
+            args_ls = []
+            func_name_ls = []
+            tool_use_ids = []
+            func_name_ls.append(content.name)
+            args_ls.append(content.input)
+            tool_use_ids.append(content.id)
+            llm_response.role = "tool"
+            llm_response.tools_call_args = args_ls
+            llm_response.tools_call_name = func_name_ls
+            llm_response.tools_call_ids = tool_use_ids
+
+        if not llm_response.completion_text and not llm_response.tools_call_args:
+            logger.error(f"API 返回的 completion 无法解析：{completion}。")
+            raise Exception(f"API 返回的 completion 无法解析：{completion}。")
+
+        llm_response.raw_completion = completion
+
+        return llm_response
+
+    async def text_chat(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = [],
+        func_tool: FuncCall = None,
+        contexts=[],
+        system_prompt=None,
+        tool_calls_result: ToolCallsResult = None,
+        **kwargs,
+    ) -> LLMResponse:
+        if not prompt:
+            prompt = "<image>"
+
+        new_record = await self.assemble_context(prompt, image_urls)
+        context_query = [*contexts, new_record]
+
+        for part in context_query:
+            if "_no_save" in part:
+                del part["_no_save"]
+
+        if tool_calls_result:
+            # 暂时这样写。
+            prompt += f"Here are the related results via using tools: {str(tool_calls_result.tool_calls_result)}"
+
+        model_config = self.provider_config.get("model_config", {})
+
+        payloads = {"messages": context_query, **model_config}
+        # Anthropic has a different way of handling system prompts
+        if system_prompt:
+            payloads["system"] = system_prompt
+
+        llm_response = None
+        try:
+            llm_response = await self._query(payloads, func_tool)
+
+        except Exception as e:
+            if "maximum context length" in str(e):
+                retry_cnt = 20
+                while retry_cnt > 0:
+                    logger.warning(
+                        f"上下文长度超过限制。尝试弹出最早的记录然后重试。当前记录条数: {len(context_query)}"
+                    )
+                    try:
+                        await self.pop_record(context_query)
+                        response = await self.client.messages.create(
+                            messages=context_query, **model_config
+                        )
+                        llm_response = LLMResponse("assistant")
+                        llm_response.completion_text = response.content[0].text
+                        llm_response.raw_completion = response
+                        return llm_response
+                    except Exception as e:
+                        if "maximum context length" in str(e):
+                            retry_cnt -= 1
+                        else:
+                            raise e
+                return LLMResponse("err", "err: 请尝试 /reset 清除会话记录。")
+            else:
+                logger.error(f"发生了错误。Provider 配置如下: {model_config}")
+                raise e
+
+        return llm_response
+
+    async def assemble_context(self, text: str, image_urls: List[str] = None):
+        """组装上下文，支持文本和图片"""
+        if not image_urls:
+            return {"role": "user", "content": text}
+
+        content = []
+        content.append({"type": "text", "text": text})
+
+        for image_url in image_urls:
+            if image_url.startswith("http"):
+                image_path = await download_image_by_url(image_url)
+                image_data = await self.encode_image_bs64(image_path)
+            elif image_url.startswith("file:///"):
+                image_path = image_url.replace("file:///", "")
+                image_data = await self.encode_image_bs64(image_path)
+            else:
+                image_data = await self.encode_image_bs64(image_url)
+
+            if not image_data:
+                logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
+                continue
+
+            # Get mime type for the image
+            mime_type, _ = guess_type(image_url)
+            if not mime_type:
+                mime_type = "image/jpeg"  # Default to JPEG if can't determine
+
+            content.append(
+                {
+                    "type": "image",
+                    "source": {
+                        "type": "base64",
+                        "media_type": mime_type,
+                        "data": image_data.split("base64,")[1]
+                        if "base64," in image_data
+                        else image_data,
+                    },
+                }
+            )
+
+        return {"role": "user", "content": content}

astrbot/core/provider/sources/dashscope_source.py

@@ -0,0 +1,158 @@
+import re
+import asyncio
+import functools
+from typing import List
+from .. import Provider, Personality
+from ..entites import LLMResponse
+from ..func_tool_manager import FuncCall
+from astrbot.core.db import BaseDatabase
+from ..register import register_provider_adapter
+from .openai_source import ProviderOpenAIOfficial
+from astrbot.core import logger, sp
+from dashscope import Application
+
+
+@register_provider_adapter("dashscope", "Dashscope APP 适配器。")
+class ProviderDashscope(ProviderOpenAIOfficial):
+    def __init__(
+        self,
+        provider_config: dict,
+        provider_settings: dict,
+        db_helper: BaseDatabase,
+        persistant_history=False,
+        default_persona: Personality = None,
+    ) -> None:
+        Provider.__init__(
+            self,
+            provider_config,
+            provider_settings,
+            persistant_history,
+            db_helper,
+            default_persona,
+        )
+        self.api_key = provider_config.get("dashscope_api_key", "")
+        if not self.api_key:
+            raise Exception("阿里云百炼 API Key 不能为空。")
+        self.app_id = provider_config.get("dashscope_app_id", "")
+        if not self.app_id:
+            raise Exception("阿里云百炼 APP ID 不能为空。")
+        self.dashscope_app_type = provider_config.get("dashscope_app_type", "")
+        if not self.dashscope_app_type:
+            raise Exception("阿里云百炼 APP 类型不能为空。")
+        self.model_name = "dashscope"
+        self.variables: dict = provider_config.get("variables", {})
+        self.rag_options: dict = provider_config.get("rag_options", {})
+        self.output_reference = self.rag_options.get("output_reference", False)
+        self.rag_options = self.rag_options.copy()
+        self.rag_options.pop("output_reference", None)
+
+        self.timeout = provider_config.get("timeout", 120)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+
+    def has_rag_options(self):
+        if (
+            self.rag_options
+            and self.rag_options.get("pipeline_ids", None)
+            and self.rag_options.get("file_ids", None)
+        ):
+            return True
+        return False
+
+    async def text_chat(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = [],
+        func_tool: FuncCall = None,
+        contexts: List = None,
+        system_prompt: str = None,
+        **kwargs,
+    ) -> LLMResponse:
+        # 获得会话变量
+        payload_vars = self.variables.copy()
+        # 动态变量
+        session_vars = sp.get("session_variables", {})
+        session_var = session_vars.get(session_id, {})
+        payload_vars.update(session_var)
+
+        if (
+            self.dashscope_app_type in ["agent", "dialog-workflow"]
+            and self.has_rag_options()
+        ):
+            # 支持多轮对话的
+            new_record = {"role": "user", "content": prompt}
+            if image_urls:
+                logger.warning("阿里云百炼暂不支持图片输入，将自动忽略图片内容。")
+            contexts_no_img = await self._remove_image_from_context(contexts)
+            context_query = [*contexts_no_img, new_record]
+            if system_prompt:
+                context_query.insert(0, {"role": "system", "content": system_prompt})
+            for part in context_query:
+                if "_no_save" in part:
+                    del part["_no_save"]
+            # 调用阿里云百炼 API
+            partial = functools.partial(
+                Application.call,
+                app_id=self.app_id,
+                api_key=self.api_key,
+                messages=context_query,
+                biz_params=payload_vars or None,
+            )
+            response = await asyncio.get_event_loop().run_in_executor(None, partial)
+        else:
+            # 不支持多轮对话的
+            # 调用阿里云百炼 API
+            payload = {
+                "app_id": self.app_id,
+                "prompt": prompt,
+                "api_key": self.api_key,
+                "biz_params": payload_vars or None,
+            }
+            if self.rag_options:
+                payload["rag_options"] = self.rag_options
+            partial = functools.partial(
+                Application.call,
+                **payload,
+            )
+            response = await asyncio.get_event_loop().run_in_executor(None, partial)
+
+        logger.debug(f"dashscope resp: {response}")
+
+        if response.status_code != 200:
+            logger.error(
+                f"阿里云百炼请求失败: request_id={response.request_id}, code={response.status_code}, message={response.message}, 请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
+            )
+            return LLMResponse(
+                role="err",
+                completion_text=f"阿里云百炼请求失败: message={response.message} code={response.status_code}",
+            )
+
+        output_text = response.output.get("text", "")
+        # RAG 引用脚标格式化
+        output_text = re.sub(r"<ref>\[(\d+)\]</ref>", r"[\1]", output_text)
+        if self.output_reference and response.output.get("doc_references", None):
+            ref_str = ""
+            for ref in response.output.get("doc_references", []):
+                ref_str += f"{ref['index_id']}. {ref['title']}\n"
+            output_text += f"\n\n回答来源:\n{ref_str}"
+
+        return LLMResponse(role="assistant", completion_text=output_text)
+
+    async def forget(self, session_id):
+        return True
+
+    async def get_current_key(self):
+        return self.api_key
+
+    async def set_key(self, key):
+        raise Exception("阿里云百炼 适配器不支持设置 API Key。")
+
+    async def get_models(self):
+        return [self.get_model()]
+
+    async def get_human_readable_context(self, session_id, page, page_size):
+        raise Exception("暂不支持获得 阿里云百炼 的历史消息记录。")
+
+    async def terminate(self):
+        pass

astrbot/core/provider/sources/dify_source.py

@@ -0,0 +1,254 @@
+import astrbot.core.message.components as Comp
+
+from typing import List
+from .. import Provider, Personality
+from ..entites import LLMResponse
+from ..func_tool_manager import FuncCall
+from astrbot.core.db import BaseDatabase
+from ..register import register_provider_adapter
+from astrbot.core.utils.dify_api_client import DifyAPIClient
+from astrbot.core.utils.io import download_image_by_url, download_file
+from astrbot.core import logger, sp
+from astrbot.core.message.message_event_result import MessageChain
+
+
+@register_provider_adapter("dify", "Dify APP 适配器。")
+class ProviderDify(Provider):
+    def __init__(
+        self,
+        provider_config: dict,
+        provider_settings: dict,
+        db_helper: BaseDatabase,
+        persistant_history=False,
+        default_persona: Personality = None,
+    ) -> None:
+        super().__init__(
+            provider_config,
+            provider_settings,
+            persistant_history,
+            db_helper,
+            default_persona,
+        )
+        self.api_key = provider_config.get("dify_api_key", "")
+        if not self.api_key:
+            raise Exception("Dify API Key 不能为空。")
+        api_base = provider_config.get("dify_api_base", "https://api.dify.ai/v1")
+        self.api_type = provider_config.get("dify_api_type", "")
+        if not self.api_type:
+            raise Exception("Dify API 类型不能为空。")
+        self.model_name = "dify"
+        self.workflow_output_key = provider_config.get(
+            "dify_workflow_output_key", "astrbot_wf_output"
+        )
+        self.dify_query_input_key = provider_config.get(
+            "dify_query_input_key", "astrbot_text_query"
+        )
+        if not self.dify_query_input_key:
+            self.dify_query_input_key = "astrbot_text_query"
+        if not self.workflow_output_key:
+            self.workflow_output_key = "astrbot_wf_output"
+        self.variables: dict = provider_config.get("variables", {})
+        self.timeout = provider_config.get("timeout", 120)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+        self.conversation_ids = {}
+        """记录当前 session id 的对话 ID"""
+
+        self.api_client = DifyAPIClient(self.api_key, api_base)
+
+    async def text_chat(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = [],
+        func_tool: FuncCall = None,
+        contexts: List = None,
+        system_prompt: str = None,
+        **kwargs,
+    ) -> LLMResponse:
+        result = ""
+        conversation_id = self.conversation_ids.get(session_id, "")
+
+        files_payload = []
+        for image_url in image_urls:
+            image_path = (
+                await download_image_by_url(image_url)
+                if image_url.startswith("http")
+                else image_url
+            )
+            file_response = await self.api_client.file_upload(
+                image_path, user=session_id
+            )
+            logger.debug(f"Dify 上传图片响应：{file_response}")
+            if "id" not in file_response:
+                logger.warning(
+                    f"上传图片后得到未知的 Dify 响应：{file_response}，图片将忽略。"
+                )
+                continue
+            files_payload.append(
+                {
+                    "type": "image",
+                    "transfer_method": "local_file",
+                    "upload_file_id": file_response["id"],
+                }
+            )
+
+        # 获得会话变量
+        payload_vars = self.variables.copy()
+        # 动态变量
+        session_vars = sp.get("session_variables", {})
+        session_var = session_vars.get(session_id, {})
+        payload_vars.update(session_var)
+
+        try:
+            match self.api_type:
+                case "chat" | "agent":
+                    if not prompt:
+                        prompt = "请描述这张图片。"
+
+                    async for chunk in self.api_client.chat_messages(
+                        inputs={
+                            **payload_vars,
+                        },
+                        query=prompt,
+                        user=session_id,
+                        conversation_id=conversation_id,
+                        files=files_payload,
+                        timeout=self.timeout,
+                    ):
+                        logger.debug(f"dify resp chunk: {chunk}")
+                        if (
+                            chunk["event"] == "message"
+                            or chunk["event"] == "agent_message"
+                        ):
+                            result += chunk["answer"]
+                            if not conversation_id:
+                                self.conversation_ids[session_id] = chunk[
+                                    "conversation_id"
+                                ]
+                                conversation_id = chunk["conversation_id"]
+                        elif chunk["event"] == "message_end":
+                            logger.debug("Dify message end")
+                            break
+                        elif chunk["event"] == "error":
+                            logger.error(f"Dify 出现错误：{chunk}")
+                            raise Exception(
+                                f"Dify 出现错误 status: {chunk['status']} message: {chunk['message']}"
+                            )
+
+                case "workflow":
+                    async for chunk in self.api_client.workflow_run(
+                        inputs={
+                            self.dify_query_input_key: prompt,
+                            "astrbot_session_id": session_id,
+                            **payload_vars,
+                        },
+                        user=session_id,
+                        files=files_payload,
+                        timeout=self.timeout,
+                    ):
+                        match chunk["event"]:
+                            case "workflow_started":
+                                logger.info(
+                                    f"Dify 工作流(ID: {chunk['workflow_run_id']})开始运行。"
+                                )
+                            case "node_finished":
+                                logger.debug(
+                                    f"Dify 工作流节点(ID: {chunk['data']['node_id']} Title: {chunk['data'].get('title', '')})运行结束。"
+                                )
+                            case "workflow_finished":
+                                logger.info(
+                                    f"Dify 工作流(ID: {chunk['workflow_run_id']})运行结束"
+                                )
+                                logger.debug(f"Dify 工作流结果：{chunk}")
+                                if chunk["data"]["error"]:
+                                    logger.error(
+                                        f"Dify 工作流出现错误：{chunk['data']['error']}"
+                                    )
+                                    raise Exception(
+                                        f"Dify 工作流出现错误：{chunk['data']['error']}"
+                                    )
+                                if (
+                                    self.workflow_output_key
+                                    not in chunk["data"]["outputs"]
+                                ):
+                                    raise Exception(
+                                        f"Dify 工作流的输出不包含指定的键名：{self.workflow_output_key}"
+                                    )
+                                result = chunk
+                case _:
+                    raise Exception(f"未知的 Dify API 类型：{self.api_type}")
+        except Exception as e:
+            logger.error(f"Dify 请求失败：{str(e)}")
+            return LLMResponse(role="err", completion_text=f"Dify 请求失败：{str(e)}")
+
+        if not result:
+            logger.warning("Dify 请求结果为空，请查看 Debug 日志。")
+
+        chain = await self.parse_dify_result(result)
+
+        return LLMResponse(role="assistant", result_chain=chain)
+
+    async def parse_dify_result(self, chunk: dict | str) -> MessageChain:
+        if isinstance(chunk, str):
+            # Chat
+            return MessageChain(chain=[Comp.Plain(chunk)])
+
+        async def parse_file(item: dict) -> Comp:
+            match item["type"]:
+                case "image":
+                    return Comp.Image(file=item["url"], url=item["url"])
+                case "audio":
+                    # 仅支持 wav
+                    path = f"data/temp/{item['filename']}.wav"
+                    await download_file(item["url"], path)
+                    return Comp.Image(file=item["url"], url=item["url"])
+                case "video":
+                    return Comp.Video(file=item["url"])
+                case _:
+                    return Comp.File(name=item["filename"], file=item["url"])
+
+        output = chunk["data"]["outputs"][self.workflow_output_key]
+        chains = []
+        if isinstance(output, str):
+            # 纯文本输出
+            chains.append(Comp.Plain(output))
+        elif isinstance(output, list):
+            # 主要适配 Dify 的 HTTP 请求结点的多模态输出
+            for item in output:
+                # handle Array[File]
+                if (
+                    not isinstance(item, dict)
+                    or item.get("dify_model_identity", "") != "__dify__file__"
+                ):
+                    chains.append(Comp.Plain(str(output)))
+                    break
+        else:
+            chains.append(Comp.Plain(str(output)))
+
+        # scan file
+        files = chunk["data"].get("files", [])
+        for item in files:
+            comp = await parse_file(item)
+            chains.append(comp)
+
+        return MessageChain(chain=chains)
+
+    async def forget(self, session_id):
+        self.conversation_ids[session_id] = ""
+        return True
+
+    async def get_current_key(self):
+        return self.api_key
+
+    async def set_key(self, key):
+        raise Exception("Dify 适配器不支持设置 API Key。")
+
+    async def get_models(self):
+        return [self.get_model()]
+
+    async def get_human_readable_context(self, session_id, page, page_size):
+        raise Exception("暂不支持获得 Dify 的历史消息记录。")
+
+    async def terminate(self):
+        await self.api_client.close()

astrbot/core/provider/sources/edge_tts_source.py

@@ -0,0 +1,109 @@
+import uuid
+import os
+import edge_tts
+import subprocess
+import asyncio
+from ..provider import TTSProvider
+from ..entites import ProviderType
+from ..register import register_provider_adapter
+from astrbot.core import logger
+
+"""
+edge_tts 方式，能够免费、快速生成语音，使用需要先安装edge-tts库
+```
+pip install edge_tts
+```
+Windows 如果提示找不到指定文件，以管理员身份运行命令行窗口，然后再次运行 AstrBot
+"""
+
+
+@register_provider_adapter(
+    "edge_tts", "Microsoft Edge TTS", provider_type=ProviderType.TEXT_TO_SPEECH
+)
+class ProviderEdgeTTS(TTSProvider):
+    def __init__(
+        self,
+        provider_config: dict,
+        provider_settings: dict,
+    ) -> None:
+        super().__init__(provider_config, provider_settings)
+
+        # 设置默认语音，如果没有指定则使用中文小萱
+        self.voice = provider_config.get("edge-tts-voice", "zh-CN-XiaoxiaoNeural")
+        self.rate = provider_config.get("rate", None)
+        self.volume = provider_config.get("volume", None)
+        self.pitch = provider_config.get("pitch", None)
+        self.timeout = provider_config.get("timeout", 30)
+
+        self.set_model("edge_tts")
+
+    async def get_audio(self, text: str) -> str:
+        os.makedirs("data/temp", exist_ok=True)
+        mp3_path = f"data/temp/edge_tts_temp_{uuid.uuid4()}.mp3"
+        wav_path = f"data/temp/edge_tts_{uuid.uuid4()}.wav"
+
+        # 构建Edge TTS参数
+        kwargs = {"text": text, "voice": self.voice}
+        if self.rate:
+            kwargs["rate"] = self.rate
+        if self.volume:
+            kwargs["volume"] = self.volume
+        if self.pitch:
+            kwargs["pitch"] = self.pitch
+
+        try:
+            communicate = edge_tts.Communicate(**kwargs)
+            await communicate.save(mp3_path)
+
+            # 使用ffmpeg将MP3转换为标准WAV格式
+            _ = await asyncio.create_subprocess_exec(
+                "ffmpeg",
+                "-y",  # 覆盖输出文件
+                "-i",
+                mp3_path,  # 输入文件
+                "-acodec",
+                "pcm_s16le",  # 16位PCM编码
+                "-ar",
+                "24000",  # 采样率24kHz (适合微信语音)
+                "-ac",
+                "1",  # 单声道
+                "-af",
+                "apad=pad_dur=2",  # 确保输出时长准确
+                "-fflags",
+                "+genpts",  # 强制生成时间戳
+                "-hide_banner",  # 隐藏版本信息
+                wav_path,  # 输出文件
+                stdout=subprocess.PIPE,
+                stderr=subprocess.PIPE,
+            )
+            # 等待进程完成并获取输出
+            stdout, stderr = await _.communicate()
+            logger.info(f"[EdgeTTS] FFmpeg 标准输出: {stdout.decode().strip()}")
+            logger.debug(f"FFmpeg错误输出: {stderr.decode().strip()}")
+            logger.info(f"[EdgeTTS] 返回值(0代表成功): {_.returncode}")
+            os.remove(mp3_path)
+            if os.path.exists(wav_path) and os.path.getsize(wav_path) > 0:
+                return wav_path
+            else:
+                logger.error("生成的WAV文件不存在或为空")
+                raise RuntimeError("生成的WAV文件不存在或为空")
+
+        except subprocess.CalledProcessError as e:
+            logger.error(
+                f"FFmpeg 转换失败: {e.stderr.decode() if e.stderr else str(e)}"
+            )
+            try:
+                if os.path.exists(mp3_path):
+                    os.remove(mp3_path)
+            except Exception:
+                pass
+            raise RuntimeError(f"FFmpeg 转换失败: {str(e)}")
+
+        except Exception as e:
+            logger.error(f"音频生成失败: {str(e)}")
+            try:
+                if os.path.exists(mp3_path):
+                    os.remove(mp3_path)
+            except Exception:
+                pass
+            raise RuntimeError(f"音频生成失败: {str(e)}")