🎈 perf: 优化 WebUI 日志错误处理

📦release: v3.5.2
Merge pull request #1128 from anka-afk/anka-dev
2025-04-07 10:38:03 +08:00 · 2025-04-06 22:36:31 +08:00 · 2025-04-06 22:22:01 +08:00 · 2025-04-05 21:19:53 +08:00 · 2025-04-05 21:08:52 +08:00 · 2025-04-05 21:03:02 +08:00
155 changed files with 14897 additions and 3022 deletions
@@ -6,7 +6,7 @@ body:
  - type: markdown
    attributes:
      value: |
-        欢迎发布插件到插件市场！
+        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:
@@ -22,9 +22,10 @@ body:
        插件名: 
        插件作者: 
        插件简介: 
-        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。
+        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:
@@ -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
@@ -1,6 +1,8 @@
 __pycache__
 botpy.log
 .vscode
+.venv*
+.idea
 data_v2.db
 data_v3.db
 configs/session
@@ -26,3 +28,5 @@ venv/*
 packages/python_interpreter/workplace
 .venv/*
 .conda/
+.idea
+pytest.ini
@@ -7,7 +7,7 @@ ci:
  autoupdate_commit_msg: ":balloon: pre-commit autoupdate"
 repos:
  - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.9.9
+    rev: v0.11.2
    hooks:
      - id: ruff
      - id: ruff-format
@@ -9,12 +9,20 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
    python3-dev \
    libffi-dev \
    libssl-dev \
+    ca-certificates \
+    bash \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

-RUN python -m pip install -r requirements.txt --no-cache-dir
+RUN python -m pip install uv
+RUN uv pip install -r requirements.txt --no-cache-dir --system
+RUN uv pip install socksio uv pyffmpeg pilk --no-cache-dir --system

-RUN python -m pip install socksio wechatpy cryptography --no-cache-dir
+# 释出 ffmpeg
+RUN python -c "from pyffmpeg import FFmpeg; ff = FFmpeg();"
+
+# add /root/.pyffmpeg/bin/ffmpeg to PATH, inorder to use ffmpeg
+RUN echo 'export PATH=$PATH:/root/.pyffmpeg/bin' >> ~/.bashrc

 EXPOSE 6185 
 EXPOSE 6186
@@ -0,0 +1,35 @@
+FROM python:3.10-slim
+
+WORKDIR /AstrBot
+
+COPY . /AstrBot/
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    gcc \
+    build-essential \
+    python3-dev \
+    libffi-dev \
+    libssl-dev \
+    curl \
+    unzip \
+    ca-certificates \
+    bash \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Installation of Node.js
+ENV NVM_DIR="/root/.nvm"
+RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.2/install.sh | bash && \
+    . "$NVM_DIR/nvm.sh" && \
+    nvm install 22 && \
+    nvm use 22
+RUN /bin/bash -c ". \"$NVM_DIR/nvm.sh\" && node -v && npm -v"
+
+RUN python -m pip install uv
+RUN uv pip install -r requirements.txt --no-cache-dir --system
+RUN uv pip install socksio uv pyffmpeg --no-cache-dir --system
+
+EXPOSE 6185
+EXPOSE 6186
+
+CMD ["python", "main.py"]
@@ -1,6 +1,6 @@
 <p align="center">
-    
-![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+
+![yjtp](https://github.com/user-attachments/assets/dcc74009-c57e-4b66-9ae3-0a81fc001255)

 </p>

@@ -10,13 +10,12 @@ _✨ 易上手的多平台 LLM 聊天机器人及开发框架 ✨_

 <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)
+[![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=10800&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> ｜
@@ -26,19 +25,31 @@ _✨ 易上手的多平台 LLM 聊天机器人及开发框架 ✨_

 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。

+[![star](https://gitcode.com/Soulter/AstrBot/star/badge.svg?style=for-the-badge)](https://gitcode.com/Soulter/AstrBot)
+
+<!-- [![codecov](https://img.shields.io/codecov/c/github/soulter/astrbot?style=for-the-badge)](https://codecov.io/gh/Soulter/AstrBot)
+ -->
+
+## ✨ 近期更新
+
+1. AstrBot 现已支持接入 [MCP](https://modelcontextprotocol.io/) 服务器！
+
 ## ✨ 主要功能

+> [!NOTE]
+> 🪧 我们正基于前沿科研成果，设计并实现适用于角色扮演和情感陪伴的长短期记忆模型及情绪控制模型，旨在提升对话的真实性与情感表达能力。敬请期待 `v3.6.0` 版本！
+
 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. **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。
-3. **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。
+3. **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://dify.ai/)，便捷接入 Dify 智能助手、知识库和 Dify 工作流。
 4. **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。
 5. **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。
 6. **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。

 > [!TIP]
-> 管理面板在线体验 Demo: [https://demo.astrbot.app/](https://demo.astrbot.app/)
+> WebUI 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 😭）
+> 用户名: `astrbot`, 密码: `astrbot`。

 ## ✨ 使用方式

@@ -48,22 +59,33 @@ AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用

 #### Windows 一键安装器部署

-需要电脑上安装有 Python（>3.10）。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) 。
+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) 。

-#### Replit 部署
+#### 宝塔面板部署

-[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
+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 [通过源码部署 AstrBot](https://astrbot.app/deploy/astrbot/casaos.html) 。
+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) 。
+推荐使用 `uv`。

+```bash
+git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
+pip install uv
+uv run main.py
+```
+
+或者请参阅官方文档 [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

@@ -74,7 +96,8 @@ AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用
 | 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   | ✔    | 群聊 | 文字、图片 |
+| 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 | - |
@@ -84,7 +107,7 @@ AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用

 | 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 |
+| OpenAI API | ✔    | 文本生成 | 也支持 DeepSeek、Google Gemini、GLM、Kimi、硅基流动、xAI 等兼容 OpenAI API 的服务 |
 | Claude API | ✔    | 文本生成 |  |
 | Google Gemini API | ✔    | 文本生成 |  |
 | Dify | ✔    | LLMOps |  |
@@ -96,6 +119,7 @@ AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用
 | 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 |

@@ -125,38 +149,36 @@ pre-commit install

 ## ✨ Demo

-> [!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）✨_
+_✨基于 Docker 的沙箱化代码执行器（Beta 测试）✨_

 <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>
+<img src="https://github.com/user-attachments/assets/0cdbf564-2f59-4da5-b524-ce0e7ef3d978" 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 ✨_
+_✨ WebUI ✨_

 </div>

+## ❤️ Special Thanks
+
+特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
+
+<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
+</a>
+
+
 ## ⭐ Star History

 > [!TIP] 
@@ -174,16 +196,5 @@ _✨ 内置 Web Chat，在线与机器人交互 ✨_
 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.

-<!-- ## ✨ ATRI [Beta 测试]
-
-该功能作为插件载入。插件仓库地址：[astrbot_plugin_atri](https://github.com/Soulter/astrbot_plugin_atri)
-
-1. 基于《ATRI ~ My Dear Moments》主角 ATRI 角色台词作为微调数据集的 `Qwen1.5-7B-Chat Lora` 微调模型。
-2. 长期记忆
-3. 表情包理解与回复
-4. TTS
-    -->
-
-
 _私は、高性能ですから!_

@@ -28,7 +28,7 @@ AstrBot is a loosely coupled, asynchronous chatbot and development framework tha

 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.
+3. **Agent Capabilities** - Native support for code execution, natural language TODO lists, web search. Integrates with [Dify Platform](https://dify.ai/) 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.
@@ -28,7 +28,7 @@ AstrBot は、疎結合、非同期、複数のメッセージプラットフォ

 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。
+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://dify.ai/)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。
@@ -5,6 +5,7 @@ from astrbot.core.platform import (
    MessageMember,
    MessageType,
    PlatformMetadata,
+    Group,
 )

 from astrbot.core.platform.register import register_platform_adapter
@@ -18,4 +19,5 @@ __all__ = [
    "MessageType",
    "PlatformMetadata",
    "register_platform_adapter",
+    "Group",
 ]
@@ -2,11 +2,7 @@ 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 import Context, Star, StarTools
 from astrbot.core.star.config import *

-__all__ = [
-    "register",
-    "Context",
-    "Star",
-]
+__all__ = ["register", "Context", "Star", "StarTools"]
@@ -0,0 +1,7 @@
+from astrbot.core.utils.session_waiter import (
+    SessionWaiter,
+    SessionController,
+    session_waiter,
+)
+
+__all__ = ["SessionWaiter", "SessionController", "session_waiter"]
@@ -8,6 +8,7 @@ from astrbot.core.db.sqlite import SQLiteDatabase
 from astrbot.core.config.default import DB_PATH
 from astrbot.core.config import AstrBotConfig

+# 初始化数据存储文件夹
 os.makedirs("data", exist_ok=True)

 astrbot_config = AstrBotConfig()
@@ -19,8 +20,11 @@ if os.environ.get("TESTING", ""):
    logger.setLevel("DEBUG")

 db_helper = SQLiteDatabase(DB_PATH)
-sp = SharedPreferences()  # 简单的偏好设置存储
+sp = (
+    SharedPreferences()
+)  # 简单的偏好设置存储, 这里后续应该存储到数据库中, 一些部分可以存储到配置中
 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"
+DEMO_MODE = os.getenv("DEMO_MODE", False)
@@ -2,7 +2,7 @@
 如需修改配置，请在 `data/cmd_config.json` 中修改或者在管理面板中可视化修改。
 """

-VERSION = "3.4.35"
+VERSION = "3.5.2"
 DB_PATH = "data/data_v3.db"

 # 默认配置
@@ -36,6 +36,8 @@ DEFAULT_CONFIG = {
            "content_cleanup_rule": "",
        },
        "no_permission_reply": True,
+        "empty_mention_waiting": True,
+        "friend_message_needs_wake_prefix": False,
    },
    "provider": [],
    "provider_settings": {
@@ -47,6 +49,7 @@ DEFAULT_CONFIG = {
        "datetime_system_prompt": True,
        "default_personality": "default",
        "prompt_prefix": "",
+        "max_context_length": -1,
    },
    "provider_stt_settings": {
        "enable": False,
@@ -78,21 +81,24 @@ DEFAULT_CONFIG = {
    "admins_id": ["astrbot"],
    "t2i": False,
    "t2i_word_threshold": 150,
+    "t2i_strategy": "remote",
+    "t2i_endpoint": "",
    "http_proxy": "",
    "dashboard": {
        "enable": True,
        "username": "astrbot",
        "password": "77b90590a8945a7d36c963981a307dc9",
+        "host": "0.0.0.0",
        "port": 6185,
    },
    "platform": [],
    "wake_prefix": ["/"],
    "log_level": "INFO",
-    "t2i_endpoint": "",
    "pip_install_arg": "",
    "plugin_repo_mirror": "",
    "knowledge_db": {},
    "persona": [],
+    "timezone": "",
 }


@@ -120,6 +126,7 @@ CONFIG_METADATA_2 = {
                        "enable": False,
                        "appid": "",
                        "secret": "",
+                        "callback_server_host": "0.0.0.0",
                        "port": 6196,
                    },
                    "aiocqhttp(OneBotv11)": {
@@ -144,10 +151,11 @@ CONFIG_METADATA_2 = {
                        "enable": False,
                        "corpid": "",
                        "secret": "",
-                        "port": 6195,
                        "token": "",
                        "encoding_aes_key": "",
                        "api_base_url": "https://qyapi.weixin.qq.com/cgi-bin/",
+                        "callback_server_host": "0.0.0.0",
+                        "port": 6195,
                    },
                    "lark(飞书)": {
                        "id": "lark",
@@ -158,6 +166,13 @@ CONFIG_METADATA_2 = {
                        "app_secret": "",
                        "domain": "https://open.feishu.cn",
                    },
+                    "dingtalk(钉钉)": {
+                        "id": "dingtalk",
+                        "type": "dingtalk",
+                        "enable": False,
+                        "client_id": "",
+                        "client_secret": "",
+                    },
                    "telegram": {
                        "id": "telegram",
                        "type": "telegram",
@@ -165,6 +180,7 @@ CONFIG_METADATA_2 = {
                        "telegram_token": "your_bot_token",
                        "start_message": "Hello, I'm AstrBot!",
                        "telegram_api_base_url": "https://api.telegram.org/bot",
+                        "telegram_file_base_url": "https://api.telegram.org/file/bot",
                    },
                },
                "items": {
@@ -210,7 +226,7 @@ CONFIG_METADATA_2 = {
                        "hint": "启用后，机器人可以接收到频道的私聊消息。",
                    },
                    "ws_reverse_host": {
-                        "description": "反向 Websocket 主机地址",
+                        "description": "反向 Websocket 主机地址(AstrBot 为服务器端)",
                        "type": "string",
                        "hint": "aiocqhttp 适配器的反向 Websocket 服务器 IP 地址，不包含端口号。",
                    },
@@ -256,6 +272,16 @@ CONFIG_METADATA_2 = {
                        "type": "bool",
                        "hint": "启用后，当用户没有权限执行某个操作时，机器人会回复一条消息。",
                    },
+                    "empty_mention_waiting": {
+                        "description": "只 @ 机器人是否触发等待回复",
+                        "type": "bool",
+                        "hint": "启用后，当消息内容只有 @ 机器人时，会触发等待回复，在 60 秒内的该用户的任意一条消息均会唤醒机器人。这在某些平台不支持 @ 和语音/图片等消息同时发送时特别有用。",
+                    },
+                    "friend_message_needs_wake_prefix": {
+                        "description": "私聊消息是否需要唤醒前缀",
+                        "type": "bool",
+                        "hint": "启用后，私聊消息需要唤醒前缀才会被处理，同群聊一样。",
+                    },
                    "segmented_reply": {
                        "description": "分段回复",
                        "type": "object",
@@ -322,7 +348,7 @@ CONFIG_METADATA_2 = {
                        "type": "list",
                        "items": {"type": "string"},
                        "obvious_hint": True,
-                        "hint": "AstrBot 只处理所填写的 ID 发来的消息事件。为空时不启用白名单过滤。可以使用 /sid 指令获取在某个平台上的会话 ID。也可在 AstrBot 日志内获取会话 ID，当一条消息没通过白名单时，会输出 INFO 级别的日志。会话 ID 类似 aiocqhttp:GroupMessage:547540978。管理员可使用 /wl 添加白名单",
+                        "hint": "只处理填写的 ID 发来的消息事件，为空时不启用。可使用 /sid 指令获取在平台上的会话 ID(类似 abc:GroupMessage:123)。管理员可使用 /wl 添加白名单",
                    },
                    "id_whitelist_log": {
                        "description": "打印白名单日志",
@@ -465,6 +491,16 @@ CONFIG_METADATA_2 = {
                            "model": "llama3.1-8b",
                        },
                    },
+                    "LM_Studio": {
+                        "id": "lm_studio",
+                        "type": "openai_chat_completion",
+                        "enable": True,
+                        "key": ["lmstudio"],
+                        "api_base": "http://localhost:1234/v1",
+                        "model_config": {
+                            "model": "llama-3.1-8b",
+                        },
+                    },
                    "Gemini(OpenAI兼容)": {
                        "id": "gemini_default",
                        "type": "openai_chat_completion",
@@ -484,7 +520,14 @@ CONFIG_METADATA_2 = {
                        "api_base": "https://generativelanguage.googleapis.com/",
                        "timeout": 120,
                        "model_config": {
-                            "model": "gemini-1.5-flash",
+                            "model": "gemini-2.0-flash-exp",
+                        },
+                        "gm_resp_image_modal": False,
+                        "gm_safety_settings": {
+                            "harassment": "BLOCK_MEDIUM_AND_ABOVE",
+                            "hate_speech": "BLOCK_MEDIUM_AND_ABOVE",
+                            "sexually_explicit": "BLOCK_MEDIUM_AND_ABOVE",
+                            "dangerous_content": "BLOCK_MEDIUM_AND_ABOVE",
                        },
                    },
                    "DeepSeek": {
@@ -548,7 +591,7 @@ CONFIG_METADATA_2 = {
                        "dify_api_type": "chat",
                        "dify_api_key": "",
                        "dify_api_base": "https://api.dify.ai/v1",
-                        "dify_workflow_output_key": "",
+                        "dify_workflow_output_key": "astrbot_wf_output",
                        "dify_query_input_key": "astrbot_text_query",
                        "variables": {},
                        "timeout": 60,
@@ -560,6 +603,11 @@ CONFIG_METADATA_2 = {
                        "dashscope_app_type": "agent",
                        "dashscope_api_key": "",
                        "dashscope_app_id": "",
+                        "rag_options": {
+                            "pipeline_ids": [],
+                            "file_ids": [],
+                            "output_reference": False,
+                        },
                        "variables": {},
                        "timeout": 60,
                    },
@@ -626,12 +674,106 @@ CONFIG_METADATA_2 = {
                        "type": "fishaudio_tts_api",
                        "enable": False,
                        "api_key": "",
-                        "api_base": "https://api.fish-audio.cn/v1",
+                        "api_base": "https://api.fish.audio/v1",
                        "fishaudio-tts-character": "可莉",
                        "timeout": "20",
                    },
+                    "阿里云百炼_TTS(API)": {
+                        "id": "dashscope_tts",
+                        "type": "dashscope_tts",
+                        "enable": False,
+                        "api_key": "",
+                        "model": "cosyvoice-v1",
+                        "dashscope_tts_voice": "loongstella",
+                        "timeout": "20",
+                    },
                },
                "items": {
+                    "dashscope_tts_voice": {
+                        "description": "语音合成模型",
+                        "type": "string",
+                        "hint": "阿里云百炼语音合成模型名称。具体可参考 https://help.aliyun.com/zh/model-studio/developer-reference/cosyvoice-python-api 等内容",
+                    },
+                    "gm_resp_image_modal": {
+                        "description": "启用图片模态",
+                        "type": "bool",
+                        "hint": "启用后，将支持返回图片内容。需要模型支持，否则会报错。具体支持模型请查看 Google Gemini 官方网站。温馨提示，如果您需要生成图片，请关闭 `启用群员识别` 配置获得更好的效果。",
+                    },
+                    "gm_safety_settings": {
+                        "description": "安全过滤器",
+                        "type": "object",
+                        "hint": "设置模型输入的内容安全过滤级别。过滤级别分类为NONE(不屏蔽)、HIGH(高风险时屏蔽)、MEDIUM_AND_ABOVE(中等风险及以上屏蔽)、LOW_AND_ABOVE(低风险及以上时屏蔽)，具体参见Gemini API文档。",
+                        "items": {
+                            "harassment": {
+                                "description": "骚扰内容",
+                                "type": "string",
+                                "hint": "负面或有害评论",
+                                "options": [
+                                    "BLOCK_NONE",
+                                    "BLOCK_ONLY_HIGH",
+                                    "BLOCK_MEDIUM_AND_ABOVE",
+                                    "BLOCK_LOW_AND_ABOVE",
+                                ],
+                            },
+                            "hate_speech": {
+                                "description": "仇恨言论",
+                                "type": "string",
+                                "hint": "粗鲁、无礼或亵渎性质内容",
+                                "options": [
+                                    "BLOCK_NONE",
+                                    "BLOCK_ONLY_HIGH",
+                                    "BLOCK_MEDIUM_AND_ABOVE",
+                                    "BLOCK_LOW_AND_ABOVE",
+                                ],
+                            },
+                            "sexually_explicit": {
+                                "description": "露骨色情内容",
+                                "type": "string",
+                                "hint": "包含性行为或其他淫秽内容的引用",
+                                "options": [
+                                    "BLOCK_NONE",
+                                    "BLOCK_ONLY_HIGH",
+                                    "BLOCK_MEDIUM_AND_ABOVE",
+                                    "BLOCK_LOW_AND_ABOVE",
+                                ],
+                            },
+                            "dangerous_content": {
+                                "description": "危险内容",
+                                "type": "string",
+                                "hint": "宣扬、助长或鼓励有害行为的信息",
+                                "options": [
+                                    "BLOCK_NONE",
+                                    "BLOCK_ONLY_HIGH",
+                                    "BLOCK_MEDIUM_AND_ABOVE",
+                                    "BLOCK_LOW_AND_ABOVE",
+                                ],
+                            },
+                        },
+                    },
+                    "rag_options": {
+                        "description": "RAG 选项",
+                        "type": "object",
+                        "hint": "检索知识库设置, 非必填。仅 Agent 应用类型支持(智能体应用, 包括 RAG 应用)。阿里云百炼应用开启此功能后将无法多轮对话。",
+                        "items": {
+                            "pipeline_ids": {
+                                "description": "知识库 ID 列表",
+                                "type": "list",
+                                "items": {"type": "string"},
+                                "hint": "对指定知识库内所有文档进行检索, 前往 https://bailian.console.aliyun.com/ 数据应用->知识索引创建和获取 ID。",
+                            },
+                            "file_ids": {
+                                "description": "非结构化文档 ID, 传入该参数将对指定非结构化文档进行检索。",
+                                "type": "list",
+                                "items": {"type": "string"},
+                                "hint": "对指定非结构化文档进行检索。前往 https://bailian.console.aliyun.com/ 数据管理创建和获取 ID。",
+                            },
+                            "output_reference": {
+                                "description": "是否输出知识库/文档的引用",
+                                "type": "bool",
+                                "hint": "在每次回答尾部加上引用源。默认为 False。",
+                            },
+                        },
+                    },
                    "sensevoice_hint": {
                        "description": "部署SenseVoice",
                        "type": "string",
@@ -648,12 +790,14 @@ CONFIG_METADATA_2 = {
                        "type": "string",
                        "hint": "modelscope 上的模型名称。默认：iic/SenseVoiceSmall。",
                    },
-                    # "variables": {
-                    #     "description": "工作流固定输入变量",
-                    #     "type": "object",
-                    #     "obvious_hint": True,
-                    #     "hint": "可选。工作流固定输入变量，将会作为工作流的输入。也可以在对话时使用 /set 指令动态设置变量。如果变量名冲突，优先使用动态设置的变量。",
-                    # },
+                    "variables": {
+                        "description": "工作流固定输入变量",
+                        "type": "object",
+                        "obvious_hint": True,
+                        "items": {},
+                        "hint": "可选。工作流固定输入变量，将会作为工作流的输入。也可以在对话时使用 /set 指令动态设置变量。如果变量名冲突，优先使用动态设置的变量。",
+                        "invisible": True,
+                    },
                    # "fastgpt_app_type": {
                    #     "description": "应用类型",
                    #     "type": "string",
@@ -664,7 +808,7 @@ CONFIG_METADATA_2 = {
                    "dashscope_app_type": {
                        "description": "应用类型",
                        "type": "string",
-                        "hint": "阿里云百炼应用的应用类型。",
+                        "hint": "百炼应用的应用类型。",
                        "options": [
                            "agent",
                            "agent-arrange",
@@ -844,6 +988,11 @@ CONFIG_METADATA_2 = {
                        "type": "string",
                        "hint": "添加之后，会在每次对话的 Prompt 前加上此文本。",
                    },
+                    "max_context_length": {
+                        "description": "最多携带对话数量(条)",
+                        "type": "int",
+                        "hint": "超出这个数量时将丢弃最旧的部分，用户和AI的一轮聊天记为 1 条。-1 表示不限制，默认为不限制。",
+                    },
                },
            },
            "persona": {
@@ -937,10 +1086,10 @@ CONFIG_METADATA_2 = {
                        "hint": "群聊消息最大数量。超过此数量后，会自动清除旧消息。",
                    },
                    "image_caption": {
-                        "description": "启用图像转述(需要模型支持)",
+                        "description": "群聊图像转述(需模型支持)",
                        "type": "bool",
                        "obvious_hint": True,
-                        "hint": "启用后，当接收到图片消息时，会使用模型先将图片转述为文字再进行后续处理。推荐使用 gpt-4o-mini 模型。",
+                        "hint": "用模型将群聊中的图片消息转述为文字，推荐 gpt-4o-mini 模型。和机器人的唤醒聊天中的图片消息仍然会直接作为上下文输入。",
                    },
                    "image_caption_provider_id": {
                        "description": "图像转述提供商 ID",
@@ -1024,16 +1173,28 @@ CONFIG_METADATA_2 = {
                "type": "string",
                "hint": "启用后，会以添加环境变量的方式设置代理。格式为 `http://ip:port`",
            },
+            "timezone": {
+                "description": "时区",
+                "type": "string",
+                "obvious_hint": True,
+                "hint": "时区设置。请填写 IANA 时区名称, 如 Asia/Shanghai, 为空时使用系统默认时区。所有时区请查看: https://data.iana.org/time-zones/tzdb-2021a/zone1970.tab",
+            },
            "log_level": {
                "description": "控制台日志级别",
                "type": "string",
                "hint": "控制台输出日志的级别。",
                "options": ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"],
            },
+            "t2i_strategy": {
+                "description": "文本转图像渲染源",
+                "type": "string",
+                "hint": "文本转图像策略。`remote` 为使用远程基于 HTML 的渲染服务，`local` 为使用 PIL 本地渲染。当使用 local 时，将 ttf 字体命名为 'font.ttf' 放在 data/ 目录下可自定义字体。",
+                "options": ["remote", "local"],
+            },
            "t2i_endpoint": {
                "description": "文本转图像服务接口",
                "type": "string",
-                "hint": "为空时使用 AstrBot API 服务",
+                "hint": "当 t2i_strategy 为 remote 时生效。为空时使用 AstrBot API 服务",
            },
            "pip_install_arg": {
                "description": "pip 安装参数",
@@ -1,3 +1,10 @@
+"""
+AstrBot 会话-对话管理器, 维护两个本地存储, 其中一个是 json 格式的shared_preferences, 另外一个是数据库
+
+在 AstrBot 中, 会话和对话是独立的, 会话用于标记对话窗口, 例如群聊"123456789"可以建立一个会话,
+在一个会话中可以建立多个对话, 并且支持对话的切换和删除
+"""
+
 import uuid
 import json
 import asyncio
@@ -11,24 +18,34 @@ 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):
+        # session_conversations 字典记录会话ID-对话ID 映射关系
        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):
+        """启动定时保存任务"""
        asyncio.create_task(self._periodic_save())

    async def _periodic_save(self):
+        """定时保存会话对话映射关系到存储中"""
        while True:
            await asyncio.sleep(self.save_interval)
            self._save_to_storage()

    def _save_to_storage(self):
+        """保存会话对话映射关系到存储中"""
        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"""
+        """新建对话，并将当前会话的对话转移到新对话
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+        Returns:
+            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+        """
        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
@@ -36,14 +53,24 @@ class ConversationManager:
        return conversation_id

    async def switch_conversation(self, unified_msg_origin: str, conversation_id: str):
-        """切换会话的对话"""
+        """切换会话的对话
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+        """
        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"""
+        """删除会话的对话，当 conversation_id 为 None 时删除会话当前的对话
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+        """
        conversation_id = self.session_conversations.get(unified_msg_origin)
        if conversation_id:
            self.db.delete_conversation(user_id=unified_msg_origin, cid=conversation_id)
@@ -51,23 +78,48 @@ class ConversationManager:
            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"""
+        """获取会话当前的对话 ID
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+        Returns:
+            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+        """
        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"""
+        """获取会话的对话
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+        Returns:
+            conversation (Conversation): 对话对象
+        """
        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"""
+        """获取会话的所有对话
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+        Returns:
+            conversations (List[Conversation]): 对话对象列表
+        """
        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"""
+        """更新会话的对话
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+            history (List[Dict]): 对话历史记录, 是一个字典列表, 每个字典包含 role 和 content 字段
+        """
        if conversation_id:
            self.db.update_conversation(
                user_id=unified_msg_origin,
@@ -76,7 +128,12 @@ class ConversationManager:
            )

    async def update_conversation_title(self, unified_msg_origin: str, title: str):
-        """更新会话的对话标题"""
+        """更新会话的对话标题
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            title (str): 对话标题
+        """
        conversation_id = self.session_conversations.get(unified_msg_origin)
        if conversation_id:
            self.db.update_conversation_title(
@@ -86,7 +143,12 @@ class ConversationManager:
    async def update_conversation_persona_id(
        self, unified_msg_origin: str, persona_id: str
    ):
-        """更新会话的对话 Persona ID"""
+        """更新会话的对话 Persona ID
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            persona_id (str): 对话 Persona ID
+        """
        conversation_id = self.session_conversations.get(unified_msg_origin)
        if conversation_id:
            self.db.update_conversation_persona_id(
@@ -96,6 +158,14 @@ class ConversationManager:
    async def get_human_readable_context(
        self, unified_msg_origin, conversation_id, page=1, page_size=10
    ):
+        """获取人类可读的上下文
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+            page (int): 页码
+            page_size (int): 每页大小
+        """
        conversation = await self.get_conversation(unified_msg_origin, conversation_id)
        history = json.loads(conversation.history)

@@ -1,3 +1,14 @@
+"""
+Astrbot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作。
+该类负责初始化各个组件, 包括 ProviderManager、PlatformManager、KnowledgeDBManager、ConversationManager、PluginManager、PipelineScheduler、EventBus等。
+该类还负责加载和执行插件, 以及处理事件总线的分发。
+
+工作流程:
+1. 初始化所有组件
+2. 启动事件总线和任务, 所有任务都在这里运行
+3. 执行启动完成事件钩子
+"""
+
 import traceback
 import asyncio
 import time
@@ -24,32 +35,51 @@ 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
+    """
+    AstrBot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作。
+    该类负责初始化各个组件, 包括 ProviderManager、PlatformManager、KnowledgeDBManager、ConversationManager、PluginManager、PipelineScheduler、
+    EventBus 等。
+    该类还负责加载和执行插件, 以及处理事件总线的分发。
+    """

+    def __init__(self, log_broker: LogBroker, db: BaseDatabase):
+        self.log_broker = log_broker  # 初始化日志代理
+        self.astrbot_config = astrbot_config  # 初始化配置
+        self.db = db  # 初始化数据库
+
+        # 根据环境变量设置代理
        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):
+        """
+        初始化 AstrBot 核心生命周期管理类, 负责初始化各个组件, 包括 ProviderManager、PlatformManager、KnowledgeDBManager、ConversationManager、PluginManager、PipelineScheduler、EventBus、AstrBotUpdator等。
+        """
+
+        # 初始化日志代理
        logger.info("AstrBot v" + VERSION)
        if os.environ.get("TESTING", ""):
-            logger.setLevel("DEBUG")
+            logger.setLevel("DEBUG")  # 测试模式下设置日志级别为 DEBUG
        else:
-            logger.setLevel(self.astrbot_config["log_level"])
-        self.event_queue = Queue()
-        self.event_queue.closed = False
+            logger.setLevel(self.astrbot_config["log_level"])  # 设置日志级别

+        # 初始化事件队列
+        self.event_queue = Queue()
+
+        # 初始化供应商管理器
        self.provider_manager = ProviderManager(self.astrbot_config, self.db)

+        # 初始化平台管理器
        self.platform_manager = PlatformManager(self.astrbot_config, self.event_queue)

+        # 初始化知识库管理器
        self.knowledge_db_manager = KnowledgeDBManager(self.astrbot_config)

+        # 初始化对话管理器
        self.conversation_manager = ConversationManager(self.db)

+        # 初始化提供给插件的上下文
        self.star_context = Context(
            self.event_queue,
            self.astrbot_config,
@@ -59,33 +89,50 @@ class AstrBotCoreLifecycle:
            self.conversation_manager,
            self.knowledge_db_manager,
        )
+
+        # 初始化插件管理器
        self.plugin_manager = PluginManager(self.star_context, self.astrbot_config)

+        # 扫描、注册插件、实例化插件类
        await self.plugin_manager.reload()
-        """扫描、注册插件、实例化插件类"""

+        # 根据配置实例化各个 Provider
        await self.provider_manager.initialize()
-        """根据配置实例化各个 Provider"""

+        # 初始化消息事件流水线调度器
        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"""

+        # 初始化更新器
        self.astrbot_updator = AstrBotUpdator(self.astrbot_config["plugin_repo_mirror"])
+
+        # 初始化事件总线
        self.event_bus = EventBus(self.event_queue, self.pipeline_scheduler)
+
+        # 记录启动时间
        self.start_time = int(time.time())
+
+        # 初始化当前任务列表
        self.curr_tasks: List[asyncio.Task] = []

+        # 根据配置实例化各个平台适配器
        await self.platform_manager.initialize()
-        """根据配置实例化各个平台适配器"""
+
+        # 初始化关闭控制面板的事件
+        self.dashboard_shutdown_event = asyncio.Event()

    def _load(self):
+        """加载事件总线和任务并初始化"""
+
+        # 创建一个异步任务来执行事件总线的 dispatch() 方法
+        # dispatch是一个无限循环的协程, 从事件队列中获取事件并处理
        event_bus_task = asyncio.create_task(
            self.event_bus.dispatch(), name="event_bus"
        )

+        # 把插件中注册的所有协程函数注册到事件总线中并执行
        extra_tasks = []
        for task in self.star_context._register_tasks:
            extra_tasks.append(asyncio.create_task(task, name=task.__name__))
@@ -99,17 +146,24 @@ class AstrBotCoreLifecycle:
        self.start_time = int(time.time())

    async def _task_wrapper(self, task: asyncio.Task):
+        """异步任务包装器, 用于处理异步任务执行中出现的各种异常
+
+        Args:
+            task (asyncio.Task): 要执行的异步任务
+        """
        try:
            await task
        except asyncio.CancelledError:
-            pass
+            pass  # 任务被取消, 静默处理
        except Exception as e:
+            # 获取完整的异常堆栈信息, 按行分割并记录到日志中
            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):
+        """启动 AstrBot 核心生命周期管理类, 用load加载事件总线和任务并初始化, 执行启动完成事件钩子"""
        self._load()
        logger.info("AstrBot 启动完成。")

@@ -126,15 +180,29 @@ class AstrBotCoreLifecycle:
            except BaseException:
                logger.error(traceback.format_exc())

+        # 同时运行curr_tasks中的所有任务
        await asyncio.gather(*self.curr_tasks, return_exceptions=True)

    async def stop(self):
-        self.event_queue.closed = True
+        """停止 AstrBot 核心生命周期管理类, 取消所有当前任务并终止各个管理器"""
+        # 请求停止所有正在运行的异步任务
        for task in self.curr_tasks:
            task.cancel()

-        await self.provider_manager.terminate()
+        for plugin in self.plugin_manager.context.get_all_stars():
+            try:
+                await self.plugin_manager._terminate_plugin(plugin)
+            except Exception as e:
+                logger.warning(traceback.format_exc())
+                logger.warning(
+                    f"插件 {plugin.name} 未被正常终止 {e!s}, 可能会导致资源泄露等问题。"
+                )

+        await self.provider_manager.terminate()
+        await self.platform_manager.terminate()
+        self.dashboard_shutdown_event.set()
+
+        # 再次遍历curr_tasks等待每个任务真正结束
        for task in self.curr_tasks:
            try:
                await task
@@ -143,13 +211,17 @@ class AstrBotCoreLifecycle:
            except Exception as e:
                logger.error(f"任务 {task.get_name()} 发生错误: {e}")

-    def restart(self):
-        self.event_queue.closed = True
+    async def restart(self):
+        """重启 AstrBot 核心生命周期管理类, 终止各个管理器并重新加载平台实例"""
+        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]:
+        """加载平台实例并返回所有平台实例的异步任务列表"""
        tasks = []
        platform_insts = self.platform_manager.get_insts()
        for platform_inst in platform_insts:
@@ -1,6 +1,6 @@
 import abc
 from dataclasses import dataclass
-from typing import List
+from typing import List, Dict, Any, Tuple
 from astrbot.core.db.po import Stats, LLMHistory, ATRIVision, Conversation


@@ -117,3 +117,45 @@ class BaseDatabase(abc.ABC):
    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
@@ -0,0 +1,112 @@
+import json
+import aiosqlite
+import os
+from typing import Any
+from .plugin_storage import PluginStorage
+
+DBPATH = "data/plugin_data/sqlite/plugin_data.db"
+
+
+class SQLitePluginStorage(PluginStorage):
+    """插件数据的 SQLite 存储实现类。
+
+    该类提供异步方式将插件数据存储到 SQLite 数据库中，支持数据的增删改查操作。
+    所有数据以 (plugin, key) 作为复合主键进行索引。
+    """
+
+    _instance = None  # Standalone instance of the class
+    _db_conn = None
+    db_path = None
+
+    def __new__(cls):
+        """
+        创建或获取 SQLitePluginStorage 的单例实例。
+        如果实例已存在，则返回现有实例；否则创建一个新实例。
+        数据在 `data/plugin_data/sqlite/plugin_data.db` 下。
+        """
+        os.makedirs(os.path.dirname(DBPATH), exist_ok=True)
+        if cls._instance is None:
+            cls._instance = super(SQLitePluginStorage, cls).__new__(cls)
+            cls._instance.db_path = DBPATH
+        return cls._instance
+
+    async def _init_db(self):
+        """初始化数据库连接（只执行一次）"""
+        if SQLitePluginStorage._db_conn is None:
+            SQLitePluginStorage._db_conn = await aiosqlite.connect(self.db_path)
+            await self._setup_db()
+
+    async def _setup_db(self):
+        """
+        异步初始化数据库。
+
+        创建插件数据表，如果表不存在则创建，表结构包含 plugin、key 和 value 字段，
+        其中 plugin 和 key 组合作为主键。
+        """
+        await self._db_conn.execute("""
+            CREATE TABLE IF NOT EXISTS plugin_data (
+                plugin TEXT,
+                key TEXT,
+                value TEXT,
+                PRIMARY KEY (plugin, key)
+            )
+        """)
+        await self._db_conn.commit()
+
+    async def set(self, plugin: str, key: str, value: Any):
+        """
+        异步存储数据。
+
+        将指定插件的键值对存入数据库，如果键已存在则更新值。
+        值会被序列化为 JSON 字符串后存储。
+
+        Args:
+            plugin: 插件标识符
+            key: 数据键名
+            value: 要存储的数据值（任意类型，将被 JSON 序列化）
+        """
+        await self._init_db()
+        await self._db_conn.execute(
+            "INSERT INTO plugin_data (plugin, key, value) VALUES (?, ?, ?) "
+            "ON CONFLICT(plugin, key) DO UPDATE SET value = excluded.value",
+            (plugin, key, json.dumps(value)),
+        )
+        await self._db_conn.commit()
+
+    async def get(self, plugin: str, key: str) -> Any:
+        """
+        异步获取数据。
+
+        从数据库中获取指定插件和键名对应的值，
+        返回的值会从 JSON 字符串反序列化为原始数据类型。
+
+        Args:
+            plugin: 插件标识符
+            key: 数据键名
+
+        Returns:
+            Any: 存储的数据值，如果未找到则返回 None
+        """
+        await self._init_db()
+        async with self._db_conn.execute(
+            "SELECT value FROM plugin_data WHERE plugin = ? AND key = ?",
+            (plugin, key),
+        ) as cursor:
+            row = await cursor.fetchone()
+            return json.loads(row[0]) if row else None
+
+    async def delete(self, plugin: str, key: str):
+        """
+        异步删除数据。
+
+        从数据库中删除指定插件和键名对应的数据项。
+
+        Args:
+            plugin: 插件标识符
+            key: 要删除的数据键名
+        """
+        await self._init_db()
+        await self._db_conn.execute(
+            "DELETE FROM plugin_data WHERE plugin = ? AND key = ?", (plugin, key)
+        )
+        await self._db_conn.commit()
@@ -6,6 +6,8 @@ from typing import List

@dataclass
 class Platform:
+    """平台使用统计数据"""
+
    name: str
    count: int
    timestamp: int
@@ -13,6 +15,8 @@ class Platform:

@dataclass
 class Provider:
+    """供应商使用统计数据"""
+
    name: str
    count: int
    timestamp: int
@@ -20,6 +24,8 @@ class Provider:

@dataclass
 class Plugin:
+    """插件使用统计数据"""
+
    name: str
    count: int
    timestamp: int
@@ -27,6 +33,8 @@ class Plugin:

@dataclass
 class Command:
+    """命令使用统计数据"""
+
    name: str
    count: int
    timestamp: int
@@ -3,7 +3,7 @@ import os
 import time
 from astrbot.core.db.po import Platform, Stats, LLMHistory, ATRIVision, Conversation
 from . import BaseDatabase
-from typing import Tuple
+from typing import Tuple, List, Dict, Any


 class SQLiteDatabase(BaseDatabase):
@@ -128,24 +128,23 @@ class SQLiteDatabase(BaseDatabase):
        except sqlite3.ProgrammingError:
            c = self._get_conn(self.db_path).cursor()

-        where_clause = ""
-        if session_id or provider_type:
-            where_clause += " WHERE "
-            has = False
-            if session_id:
-                where_clause += f"session_id = '{session_id}'"
-                has = True
-            if provider_type:
-                if has:
-                    where_clause += " AND "
-                where_clause += f"provider_type = '{provider_type}'"
+        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)

-        c.execute(
-            """
-            SELECT * FROM llm_history
-            """
-            + where_clause
-        )
        res = c.fetchall()
        histories = []
        for row in res:
@@ -389,3 +388,178 @@ class SQLiteDatabase(BaseDatabase):
        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()
@@ -38,11 +38,13 @@ CREATE TABLE IF NOT EXISTS atri_vision(
 );

 CREATE TABLE IF NOT EXISTS webchat_conversation(
-    user_id TEXT,
-    cid TEXT,
+    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';
@@ -1,3 +1,16 @@
+"""
+事件总线, 用于处理事件的分发和处理
+事件总线是一个异步队列, 用于接收各种消息事件, 并将其发送到Scheduler调度器进行处理
+其中包含了一个无限循环的调度函数, 用于从事件队列中获取新的事件, 并创建一个新的异步任务来执行管道调度器的处理逻辑
+
+class:
+    EventBus: 事件总线, 用于处理事件的分发和处理
+
+工作流程:
+1. 维护一个异步队列, 来接受各种消息事件
+2. 无限循环的调度函数, 从事件队列中获取新的事件, 打印日志并创建一个新的异步任务来执行管道调度器的处理逻辑
+"""
+
 import asyncio
 from asyncio import Queue
 from astrbot.core.pipeline.scheduler import PipelineScheduler
@@ -6,21 +19,38 @@ from .platform import AstrMessageEvent


 class EventBus:
+    """事件总线: 用于处理事件的分发和处理
+
+    维护一个异步队列, 来接受各种消息事件
+    """
+
    def __init__(self, event_queue: Queue, pipeline_scheduler: PipelineScheduler):
-        self.event_queue = event_queue
-        self.pipeline_scheduler = pipeline_scheduler
+        self.event_queue = event_queue  # 事件队列
+        self.pipeline_scheduler = pipeline_scheduler  # 管道调度器

    async def dispatch(self):
+        """无限循环的调度函数, 从事件队列中获取新的事件, 打印日志并创建一个新的异步任务来执行管道调度器的处理逻辑"""
        while True:
-            event: AstrMessageEvent = await self.event_queue.get()
-            self._print_event(event)
-            asyncio.create_task(self.pipeline_scheduler.execute(event))
+            event: AstrMessageEvent = (
+                await self.event_queue.get()
+            )  # 从事件队列中获取新的事件
+            self._print_event(event)  # 打印日志
+            asyncio.create_task(
+                self.pipeline_scheduler.execute(event)
+            )  # 创建新的异步任务来执行管道调度器的处理逻辑

    def _print_event(self, event: AstrMessageEvent):
+        """用于记录事件信息
+
+        Args:
+            event (AstrMessageEvent): 事件对象
+        """
+        # 如果有发送者名称: [平台名] 发送者名称/发送者ID: 消息概要
        if event.get_sender_name():
            logger.info(
                f"[{event.get_platform_name()}] {event.get_sender_name()}/{event.get_sender_id()}: {event.get_message_outline()}"
            )
+        # 没有发送者名称: [平台名] 发送者ID: 消息概要
        else:
            logger.info(
                f"[{event.get_platform_name()}] {event.get_sender_id()}: {event.get_message_outline()}"
@@ -1,18 +1,27 @@
+"""
+AstrBot 启动器，负责初始化和启动核心组件和仪表板服务器。
+
+工作流程:
+1. 初始化核心生命周期, 传递数据库和日志代理实例到核心生命周期
+2. 运行核心生命周期任务和仪表板服务器
+"""
+
 import asyncio
 import traceback
 from astrbot.core import logger
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
-from .server import AstrBotDashboard
 from astrbot.core.db import BaseDatabase
 from astrbot.core import LogBroker
+from astrbot.dashboard.server import AstrBotDashboard


-class AstrBotDashBoardLifecycle:
+class InitialLoader:
+    """AstrBot 启动器，负责初始化和启动核心组件和仪表板服务器。"""
+
    def __init__(self, db: BaseDatabase, log_broker: LogBroker):
        self.db = db
        self.logger = logger
        self.log_broker = log_broker
-        self.dashboard_server = None

    async def start(self):
        core_lifecycle = AstrBotCoreLifecycle(self.log_broker, self.db)
@@ -25,11 +34,15 @@ class AstrBotDashBoardLifecycle:
            logger.critical(traceback.format_exc())
            logger.critical(f"😭 初始化 AstrBot 失败：{e} !!!")

-        self.dashboard_server = AstrBotDashboard(core_lifecycle, self.db)
-        task = asyncio.gather(core_task, self.dashboard_server.run())
+        self.dashboard_server = AstrBotDashboard(
+            core_lifecycle, self.db, core_lifecycle.dashboard_shutdown_event
+        )
+        task = asyncio.gather(
+            core_task, self.dashboard_server.run()
+        )  # 启动核心任务和仪表板服务器

        try:
-            await task
+            await task  # 整个AstrBot在这里运行
        except asyncio.CancelledError:
            logger.info("🌈 正在关闭 AstrBot...")
            await core_lifecycle.stop()
@@ -1,11 +1,37 @@
+"""
+日志系统, 用于支持核心组件和插件的日志记录, 提供了日志订阅功能
+
+const:
+    CACHED_SIZE: 日志缓存大小, 用于限制缓存的日志数量
+    log_color_config: 日志颜色配置, 定义了不同日志级别的颜色
+
+class:
+    LogBroker: 日志代理类, 用于缓存和分发日志消息
+    LogQueueHandler: 日志处理器, 用于将日志消息发送到 LogBroker
+    LogManager: 日志管理器, 用于创建和配置日志记录器
+
+function:
+    is_plugin_path: 检查文件路径是否来自插件目录
+    get_short_level_name: 将日志级别名称转换为四个字母的缩写
+
+工作流程:
+1. 通过 LogManager.GetLogger() 获取日志器, 配置了控制台输出和多个格式化过滤器
+2. 通过 set_queue_handler() 设置日志处理器, 将日志消息发送到 LogBroker
+3. logBroker 维护一个订阅者列表, 负责将日志分发给所有订阅者
+4. 订阅者可以使用 register() 方法注册到 LogBroker, 订阅日志流
+"""
+
 import logging
 import colorlog
 import asyncio
+import os
 from collections import deque
 from asyncio import Queue
 from typing import List

+# 日志缓存大小
 CACHED_SIZE = 200
+# 日志颜色配置
 log_color_config = {
    "DEBUG": "green",
    "INFO": "bold_cyan",
@@ -17,13 +43,57 @@ log_color_config = {
 }


+def is_plugin_path(pathname):
+    """检查文件路径是否来自插件目录
+
+    Args:
+        pathname (str): 文件路径
+
+    Returns:
+        bool: 如果路径来自插件目录，则返回 True，否则返回 False
+    """
+    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
+
+    Args:
+        level_name (str): 日志级别名称, 如 "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"
+
+    Returns:
+        str: 四个字母的日志级别缩写
+    """
+    level_map = {
+        "DEBUG": "DBUG",
+        "INFO": "INFO",
+        "WARNING": "WARN",
+        "ERROR": "ERRO",
+        "CRITICAL": "CRIT",
+    }
+    return level_map.get(level_name, level_name[:4].upper())
+
+
 class LogBroker:
+    """日志代理类, 用于缓存和分发日志消息
+
+    发布-订阅模式
+    """
+
    def __init__(self):
-        self.log_cache = deque(maxlen=CACHED_SIZE)
-        self.subscribers: List[Queue] = []
+        self.log_cache = deque(maxlen=CACHED_SIZE)  # 环形缓冲区, 保存最近的日志
+        self.subscribers: List[Queue] = []  # 订阅者列表

    def register(self) -> Queue:
-        """给每个订阅者返回一个带有日志缓存的队列"""
+        """注册新的订阅者, 并给每个订阅者返回一个带有日志缓存的队列
+
+        Returns:
+            Queue: 订阅者的队列, 可用于接收日志消息
+        """
        q = Queue(maxsize=CACHED_SIZE + 10)
        for log in self.log_cache:
            q.put_nowait(log)
@@ -31,11 +101,20 @@ class LogBroker:
        return q

    def unregister(self, q: Queue):
-        """取消订阅"""
+        """取消订阅
+
+        Args:
+            q (Queue): 需要取消订阅的队列
+        """
        self.subscribers.remove(q)

-    def publish(self, log_entry: str):
-        """发布消息"""
+    def publish(self, log_entry: dict):
+        """发布新日志到所有订阅者, 使用非阻塞方式投递, 避免一个订阅者阻塞整个系统
+
+        Args:
+            log_entry (dict): 日志消息, 包含日志级别和日志内容.
+                example: {"level": "INFO", "data": "This is a log message.", "time": "2023-10-01 12:00:00"}
+        """
        self.log_cache.append(log_entry)
        for q in self.subscribers:
            try:
@@ -45,44 +124,120 @@ class LogBroker:


 class LogQueueHandler(logging.Handler):
+    """日志处理器, 用于将日志消息发送到 LogBroker
+
+    继承自 logging.Handler
+    """
+
    def __init__(self, log_broker: LogBroker):
        super().__init__()
        self.log_broker = log_broker

    def emit(self, record):
+        """日志处理的入口方法, 接受一个日志记录, 转换为字符串后由 LogBroker 发布
+        这个方法会在每次日志记录时被调用
+
+        Args:
+            record (logging.LogRecord): 日志记录对象, 包含日志信息
+        """
        log_entry = self.format(record)
-        self.log_broker.publish(log_entry)
+        self.log_broker.publish({
+            "level": record.levelname,
+            "time": record.asctime,
+            "data": log_entry,
+        })


 class LogManager:
+    """日志管理器, 用于创建和配置日志记录器
+
+    提供了获取默认日志记录器logger和设置队列处理器的方法
+    """
+
    @classmethod
    def GetLogger(cls, log_name: str = "default"):
+        """获取指定名称的日志记录器logger
+
+        Args:
+            log_name (str): 日志记录器的名称, 默认为 "default"
+
+        Returns:
+            logging.Logger: 返回配置好的日志记录器
+        """
        logger = logging.getLogger(log_name)
+        # 检查该logger或父级logger是否已经有处理器, 如果已经有处理器, 直接返回该logger, 避免重复配置
        if logger.hasHandlers():
            return logger
-        console_handler = logging.StreamHandler()
-        console_handler.setLevel(logging.DEBUG)
+        # 如果logger没有处理器
+        console_handler = logging.StreamHandler()  # 创建一个StreamHandler用于控制台输出
+        console_handler.setLevel(
+            logging.DEBUG
+        )  # 将日志级别设置为DEBUG(最低级别, 显示所有日志), *如果插件没有设置级别, 默认为DEBUG
+
+        # 创建彩色日志格式化器, 输出日志格式为: [时间] [插件标签] [日志级别] [文件名:行号]: 日志消息
        console_formatter = colorlog.ColoredFormatter(
-            fmt="%(log_color)s [%(asctime)s] [%(levelname)-5s] [%(filename)s:%(lineno)d]: %(message)s %(reset)s",
+            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,
        )
-        console_handler.setFormatter(console_formatter)
-        logger.setLevel(logging.DEBUG)
-        logger.addHandler(console_handler)
+
+        class PluginFilter(logging.Filter):
+            """插件过滤器类, 用于标记日志来源是插件还是核心组件"""
+
+            def filter(self, record):
+                record.plugin_tag = (
+                    "[Plug]" if is_plugin_path(record.pathname) else "[Core]"
+                )
+                return True
+
+        class FileNameFilter(logging.Filter):
+            """文件名过滤器类, 用于修改日志记录的文件名格式
+            例如: 将文件路径 /path/to/file.py 转换为 file.<file> 格式"""
+
+            # 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):
+            """短日志级别名称过滤器类, 用于将日志级别名称转换为四个字母的缩写"""
+
+            # 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)  # 设置处理器的格式化器
+        logger.addFilter(PluginFilter())  # 添加插件过滤器
+        logger.addFilter(FileNameFilter())  # 添加文件名过滤器
+        logger.addFilter(LevelNameFilter())  # 添加级别名称过滤器
+        logger.setLevel(logging.DEBUG)  # 设置日志级别为DEBUG
+        logger.addHandler(console_handler)  # 添加处理器到logger

        return logger

    @classmethod
    def set_queue_handler(cls, logger: logging.Logger, log_broker: LogBroker):
+        """设置队列处理器, 用于将日志消息发送到 LogBroker
+
+        Args:
+            logger (logging.Logger): 日志记录器
+            log_broker (LogBroker): 日志代理类, 用于缓存和分发日志消息
+        """
        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 - %(name)s - %(levelname)s - %(message)s"
+                    "[%(asctime)s] [%(short_levelname)s] %(plugin_tag)s[%(filename)s:%(lineno)d]: %(message)s"
                )
            )
        logger.addHandler(handler)
@@ -25,9 +25,11 @@ 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):
@@ -59,6 +61,8 @@ class ComponentType(Enum):
    TTS = "TTS"
    Unknown = "Unknown"

+    WechatEmoji = "WechatEmoji"  # Wechat 下的 emoji 表情包
+

 class BaseMessageComponent(BaseModel):
    type: ComponentType
@@ -146,6 +150,51 @@ class Record(BaseMessageComponent):
            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"
@@ -279,10 +328,6 @@ class Image(BaseMessageComponent):
    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], **_):
-        # for k in _.keys():
-        #     if (k == "_type" and _[k] not in ["flash", "show", None]) or \
-        #             (k == "c" and _[k] not in [2, 3]):
-        #         logger.warn(f"Protocol: {k}={_[k]} doesn't match values")
        super().__init__(file=file, **_)

    @staticmethod
@@ -307,14 +352,77 @@ class Image(BaseMessageComponent):
    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]
-    text: T.Optional[str] = ""
-    qq: T.Optional[int] = 0
+    """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__(**_)
@@ -353,16 +461,22 @@ class Node(BaseMessageComponent):
    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]] = ""  # 子消息段列表
+    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], **_):
+    def __init__(self, content: T.Union[str, list, dict, "Node", T.List["Node"]], **_):
        if isinstance(content, list):
-            _content = ""
-            for chain in content:
-                _content += chain.toString()
+            _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):
@@ -449,6 +563,16 @@ class File(BaseMessageComponent):
        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,
@@ -477,4 +601,5 @@ ComponentTypes = {
    "tts": TTS,
    "unknown": Unknown,
    "file": File,
+    "WechatEmoji": WechatEmoji,
 }
@@ -1,8 +1,14 @@
 import enum

-from typing import List, Optional
+from typing import List, Optional, Union
 from dataclasses import dataclass, field
-from astrbot.core.message.components import BaseMessageComponent, Plain, Image
+from astrbot.core.message.components import (
+    BaseMessageComponent,
+    Plain,
+    Image,
+    At,
+    AtAll,
+)
 from typing_extensions import deprecated


@@ -31,6 +37,30 @@ class MessageChain:
        self.chain.append(Plain(message))
        return self

+    def at(self, name: str, qq: Union[str, int]):
+        """添加一条 At 消息到消息链 `chain` 中。
+
+        Example:
+
+            CommandResult().at("张三", "12345678910")
+            # 输出 @张三
+
+        """
+        self.chain.append(At(name=name, qq=qq))
+        return self
+
+    def at_all(self):
+        """添加一条 AtAll 消息到消息链 `chain` 中。
+
+        Example:
+
+            CommandResult().at_all()
+            # 输出 @所有人
+
+        """
+        self.chain.append(AtAll())
+        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
@@ -77,6 +107,10 @@ class MessageChain:
        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。
@@ -147,9 +181,6 @@ class MessageEventResult(MessageChain):
        """是否为 LLM 结果。"""
        return self.result_content_type == ResultContentType.LLM_RESULT

-    def get_plain_text(self) -> str:
-        """获取纯文本消息。这个方法将获取所有 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)])
-

+# 为了兼容旧版代码，保留 CommandResult 的别名
 CommandResult = MessageEventResult
@@ -12,6 +12,7 @@ from .process_stage.stage import ProcessStage
 from .result_decorate.stage import ResultDecorateStage
 from .respond.stage import RespondStage

+# 管道阶段顺序
 STAGES_ORDER = [
    "WakingCheckStage",  # 检查是否需要唤醒
    "WhitelistCheckStage",  # 检查是否在群聊/私聊白名单
@@ -1,7 +1,4 @@
 import re
-import os
-import json
-import base64
 from . import ContentSafetyStrategy


@@ -11,13 +8,13 @@ class KeywordsStrategy(ContentSafetyStrategy):
        if extra_keywords is None:
            extra_keywords = []
        self.keywords.extend(extra_keywords)
-        keywords_path = os.path.join(os.path.dirname(__file__), "unfit_words")
+        # 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"]
-                )
+        # 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:
@@ -1 +0,0 @@
-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
@@ -5,5 +5,7 @@ from astrbot.core.star import PluginManager

@dataclass
 class PipelineContext:
-    astrbot_config: AstrBotConfig
-    plugin_manager: PluginManager
+    """上下文对象，包含管道执行所需的上下文信息"""
+
+    astrbot_config: AstrBotConfig  # AstrBot 配置对象
+    plugin_manager: PluginManager  # 插件管理器对象
@@ -3,6 +3,7 @@
 """

 import traceback
+import asyncio
 import json
 from typing import Union, AsyncGenerator
 from ...context import PipelineContext
@@ -15,7 +16,13 @@ from astrbot.core.message.message_event_result import (
 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
+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

@@ -27,6 +34,9 @@ class LLMRequestSubStage(Stage):
        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):
@@ -63,8 +73,8 @@ class LLMRequestSubStage(Stage):
            req.func_tool = self.ctx.plugin_manager.context.get_llm_tool_manager()
            for comp in event.message_obj.message:
                if isinstance(comp, Image):
-                    image_url = comp.url if comp.url else comp.file
-                    req.image_urls.append(image_url)
+                    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(
@@ -74,10 +84,16 @@ class LLMRequestSubStage(Stage):
                conversation_id = await self.conv_manager.new_conversation(
                    event.unified_msg_origin
                )
-            req.session_id = 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)

@@ -109,100 +125,63 @@ class LLMRequestSubStage(Stage):
        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 :]
+
+        # session_id
+        if not req.session_id:
+            req.session_id = event.unified_msg_origin
+
        try:
-            logger.debug(f"提供商请求 Payload: {req}")
-            if _nested:
-                req.func_tool = None  # 暂时不支持递归工具调用
-            llm_response = await provider.text_chat(**req.__dict__)  # 请求 LLM
+            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
+                # 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,
+                )
            )
-            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

            # 保存到历史记录
            await self._save_to_history(event, req, llm_response)

-            await Metric.upload(
-                llm_tick=1,
-                model_name=provider.get_model(),
-                provider_type=provider.meta().type,
-            )
-
-            if llm_response.role == "assistant":
-                # text completion
-                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
-                function_calling_result = {}
-                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 in zip(
-                    llm_response.tools_call_name, llm_response.tools_call_args
-                ):
-                    func_tool = req.func_tool.get_func(func_tool_name)
-                    logger.info(
-                        f"调用工具函数：{func_tool_name}，参数：{func_tool_args}"
-                    )
-                    try:
-                        # 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
-                                function_calling_result[func_tool_name] = 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())
-                        function_calling_result[func_tool_name] = (
-                            "When calling the function, an error occurred: " + str(e)
-                        )
-                if function_calling_result:
-                    # 工具返回 LLM 资源。比如 RAG、网页 得到的相关结果等。
-                    # 我们重新执行一遍这个 stage
-                    req.func_tool = None  # 暂时不支持递归工具调用
-                    extra_prompt = "\n\nSystem executed some external tools for this task and here are the results:\n"
-                    for tool_name, tool_result in function_calling_result.items():
-                        extra_prompt += (
-                            f"Tool: {tool_name}\nTool Result: {tool_result}\n"
-                        )
-                    req.prompt += extra_prompt
-                    async for _ in self.process(event, _nested=True):
-                        yield
-                else:
-                    if llm_response.completion_text:
-                        event.set_result(
-                            MessageEventResult().message(llm_response.completion_text)
-                        )
-
        except BaseException as e:
            logger.error(traceback.format_exc())
            event.set_result(
@@ -212,6 +191,116 @@ class LLMRequestSubStage(Stage):
            )
            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
    ):
@@ -221,8 +310,12 @@ class LLMRequestSubStage(Stage):
        if llm_response.role == "assistant":
            # 文本回复
            contexts = req.contexts
-            new_record = {"role": "user", "content": req.prompt}
-            contexts.append(new_record)
+            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}
            )
@@ -2,6 +2,7 @@ import random
 import asyncio
 import math
 import traceback
+import astrbot.core.message.components as Comp
 from typing import Union, AsyncGenerator
 from ..stage import register_stage, Stage
 from ..context import PipelineContext
@@ -11,11 +12,42 @@ 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):
+    # 组件类型到其非空判断函数的映射
+    _component_validators = {
+        Comp.Plain: lambda comp: bool(comp.text and comp.text.strip()),  # 纯文本消息需要strip
+        Comp.Face: lambda comp: comp.id is not None,  # QQ表情
+        Comp.Record: lambda comp: bool(comp.file),  # 语音
+        Comp.Video: lambda comp: bool(comp.file),  # 视频
+        Comp.At: lambda comp: bool(comp.qq) or bool(comp.name),  # @
+        Comp.AtAll: lambda comp: True,  # @所有人
+        Comp.RPS: lambda comp: True,  # 不知道是啥(未完成)
+        Comp.Dice: lambda comp: True,  # 骰子(未完成)
+        Comp.Shake: lambda comp: True,  # 摇一摇(未完成)
+        Comp.Anonymous: lambda comp: True,  # 匿名(未完成)
+        Comp.Share: lambda comp: bool(comp.url) and bool(comp.title),  # 分享
+        Comp.Contact: lambda comp: True,  # 联系人(未完成)
+        Comp.Location: lambda comp: bool(comp.lat and comp.lon),  # 位置
+        Comp.Music: lambda comp: bool(comp._type) and bool(comp.url) and bool(comp.audio),  # 音乐
+        Comp.Image: lambda comp: bool(comp.file),  # 图片
+        Comp.Reply: lambda comp: bool(comp.id) and comp.sender_id is not None,  # 回复
+        Comp.RedBag: lambda comp: bool(comp.title),  # 红包
+        Comp.Poke: lambda comp: comp.id != 0 and comp.qq != 0,  # 戳一戳
+        Comp.Forward: lambda comp: bool(comp.id and comp.id.strip()),  # 转发
+        Comp.Node: lambda comp: bool(comp.name) and comp.uin != 0 and bool(comp.content),  # 一个转发节点
+        Comp.Nodes: lambda comp: bool(comp.nodes),  # 多个转发节点
+        Comp.Xml: lambda comp: bool(comp.data and comp.data.strip()),  # XML
+        Comp.Json: lambda comp: bool(comp.data),  # JSON
+        Comp.CardImage: lambda comp: bool(comp.file),  # 卡片图片
+        Comp.TTS: lambda comp: bool(comp.text and comp.text.strip()),  # 语音合成
+        Comp.Unknown: lambda comp: bool(comp.text and comp.text.strip()),  # 未知消息
+        Comp.File: lambda comp: bool(comp.file),  # 文件
+        Comp.WechatEmoji: lambda comp: bool(comp.md5),  # 微信表情
+    }
+
    async def initialize(self, ctx: PipelineContext):
        self.ctx = ctx

@@ -62,7 +94,7 @@ class RespondStage(Stage):
    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):
+            if isinstance(comp, Comp.Plain):
                wc = await self._word_cnt(comp.text)
                i = math.log(wc + 1, self.log_base)
                return random.uniform(i, i + 0.5)
@@ -72,6 +104,28 @@ class RespondStage(Stage):
            # random
            return random.uniform(self.interval[0], self.interval[1])

+    async def _is_empty_message_chain(self, chain: list[BaseMessageComponent]):
+        """检查消息链是否为空
+
+        Args:
+            chain (list[BaseMessageComponent]): 包含消息对象的列表
+        """
+        if not chain:
+            return True
+
+        for comp in chain:
+            comp_type = type(comp)
+
+            # 检查组件类型是否在字典中
+            if comp_type in self._component_validators:
+                if self._component_validators[comp_type](comp):
+                    return False
+            else:
+                logger.info(f"空内容检查: 无法识别的组件类型: {comp_type.__name__}")
+
+        # 如果所有组件都为空
+        return True
+
    async def process(
        self, event: AstrMessageEvent
    ) -> Union[None, AsyncGenerator[None, None]]:
@@ -82,6 +136,16 @@ class RespondStage(Stage):
        if len(result.chain) > 0:
            await event._pre_send()

+            # 检查消息链是否为空
+            try:
+                if await self._is_empty_message_chain(result.chain):
+                    logger.info("消息为空，跳过发送阶段")
+                    event.clear_result()
+                    event.stop_event()
+                    return
+            except Exception as e:
+                logger.warning(f"空内容检查异常: {e}")
+
            if self.enable_seg and (
                (self.only_llm_result and result.is_llm_result())
                or not self.only_llm_result
@@ -89,13 +153,13 @@ class RespondStage(Stage):
                decorated_comps = []
                if self.reply_with_mention:
                    for comp in result.chain:
-                        if isinstance(comp, At):
+                        if isinstance(comp, 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):
+                        if isinstance(comp, Comp.Reply):
                            decorated_comps.append(comp)
                            result.chain.remove(comp)
                            break
@@ -103,9 +167,16 @@ class RespondStage(Stage):
                for comp in result.chain:
                    i = await self._calc_comp_interval(comp)
                    await asyncio.sleep(i)
-                    await event.send(MessageChain([*decorated_comps, comp]))
+                    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:
-                await event.send(result)
+                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)}"
@@ -31,6 +31,8 @@ class ResultDecorateStage(Stage):
                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"
@@ -192,7 +194,9 @@ class ResultDecorateStage(Stage):
                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)
+                        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
@@ -201,7 +205,10 @@ class ResultDecorateStage(Stage):
                            "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:
-                        result.chain = [Image.fromURL(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
@@ -7,49 +7,72 @@ from astrbot.core import logger


 class PipelineScheduler:
+    """管道调度器，负责调度各个阶段的执行"""
+
    def __init__(self, context: PipelineContext):
-        registered_stages.sort(key=lambda x: STAGES_ORDER.index(x.__class__.__name__))
-        self.ctx = context
+        registered_stages.sort(
+            key=lambda x: STAGES_ORDER.index(x.__class__.__name__)
+        )  # 按照顺序排序
+        self.ctx = context  # 上下文对象

    async def initialize(self):
+        """初始化管道调度器时, 初始化所有阶段"""
        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):
+        """依次执行各个阶段
+
+        Args:
+            event (AstrMessageEvent): 事件对象
+            from_stage (int): 从第几个阶段开始执行, 默认从0开始
+        """
        for i in range(from_stage, len(registered_stages)):
-            stage = registered_stages[i]
+            stage = registered_stages[i]  # 获取当前要执行的阶段
            # logger.debug(f"执行阶段 {stage.__class__ .__name__}")
-            coro = stage.process(event)
-            if isinstance(coro, AsyncGenerator):
-                async for _ in coro:
+            coroutine = stage.process(
+                event
+            )  # 调用阶段的process方法, 返回协程或者异步生成器
+
+            if isinstance(coroutine, AsyncGenerator):
+                # 如果返回的是异步生成器, 实现洋葱模型的核心
+                async for _ in coroutine:
+                    # 此处是前置处理完成后的暂停点(yield), 下面开始执行后续阶段
                    if event.is_stopped():
                        logger.debug(
                            f"阶段 {stage.__class__.__name__} 已终止事件传播。"
                        )
                        break
+
+                    # 递归调用, 处理所有后续阶段
                    await self._process_stages(event, i + 1)
+
+                    # 此处是后续所有阶段处理完毕后返回的点, 执行后置处理
                    if event.is_stopped():
                        logger.debug(
                            f"阶段 {stage.__class__.__name__} 已终止事件传播。"
                        )
                        break
            else:
-                await coro
+                # 如果返回的是普通协程(不含yield的async函数), 则不进入下一层(基线条件)
+                # 简单地等待它执行完成, 然后继续执行下一个阶段
+                await coroutine

                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"""
+        """执行 pipeline
+
+        Args:
+            event (AstrMessageEvent): 事件对象
+        """
        await self._process_stages(event)

+        # 如果没有发送操作, 则发送一个空消息, 以便于后续的处理
        if not event._has_send_oper and event.get_platform_name() == "webchat":
            await event.send(None)

@@ -1,14 +1,14 @@
 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"""
+registered_stages: List[Stage] = []  # 维护了所有已注册的 Stage 实现类


 def register_stage(cls):
@@ -22,14 +22,24 @@ class Stage(abc.ABC):

    @abc.abstractmethod
    async def initialize(self, ctx: PipelineContext) -> None:
-        """初始化阶段"""
+        """初始化阶段
+
+        Args:
+            ctx (PipelineContext): 消息管道上下文对象, 包括配置和插件管理器
+        """
        raise NotImplementedError

    @abc.abstractmethod
    async def process(
        self, event: AstrMessageEvent
    ) -> Union[None, AsyncGenerator[None, None]]:
-        """处理事件"""
+        """处理事件
+
+        Args:
+            event (AstrMessageEvent): 事件对象，包含事件的相关信息
+        Returns:
+            Union[None, AsyncGenerator[None, None]]: 处理结果，可能是 None 或者异步生成器, 如果为 None 则表示不需要继续处理, 如果为异步生成器则表示需要继续处理(进入下一个阶段)
+        """
        raise NotImplementedError

    async def _call_handler(
@@ -40,33 +50,61 @@ class Stage(abc.ABC):
        *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
+        """执行事件处理函数并处理其返回结果
+
+        该方法负责调用处理函数并处理不同类型的返回值。它支持两种类型的处理函数:
+        1. 异步生成器: 实现洋葱模型，每次yield都会将控制权交回上层
+        2. 协程: 执行一次并处理返回值
+
+        Args:
+            ctx (PipelineContext): 消息管道上下文对象
+            event (AstrMessageEvent): 待处理的事件对象
+            handler (Awaitable): 事件处理函数
+            *args: 传递给handler的位置参数
+            **kwargs: 传递给handler的关键字参数
+
+        Returns:
+            AsyncGenerator[None, None]: 异步生成器，用于在管道中传递控制流
+        """
+        ready_to_call = None  # 一个协程或者异步生成器(async def)
+
+        trace_ = None
+
        try:
            ready_to_call = handler(event, *args, **kwargs)
-        except TypeError as e:
+        except TypeError as _:
            # 向下兼容
-            logger.debug(str(e))
+            trace_ = traceback.format_exc()
+            # 以前的handler会额外传入一个参数, 但是context对象实际上在插件实例中有一份
            ready_to_call = handler(event, ctx.plugin_manager.context, *args, **kwargs)

        if isinstance(ready_to_call, AsyncGenerator):
-            _has_yielded = False
-            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)
+            # 如果是一个异步生成器, 进入洋葱模型
+            _has_yielded = False  # 是否返回过值
+            try:
+                async for ret in ready_to_call:
+                    # 这里逐步执行异步生成器, 对于每个yield返回的ret, 执行下面的代码
+                    # 返回值只能是 MessageEventResult 或者 None（无返回值）
+                    _has_yielded = True
+                    if isinstance(ret, (MessageEventResult, CommandResult)):
+                        # 如果返回值是 MessageEventResult, 设置结果并继续
+                        event.set_result(ret)
+                        yield  # 传递控制权给上一层的process函数
+                    else:
+                        # 如果返回值是 None, 则不设置结果并继续
+                        # 继续执行后续阶段
+                        yield ret  # 传递控制权给上一层的process函数
+                if not _has_yielded:
+                    # 如果这个异步生成器没有执行到yield分支
                    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
+            # 如果只是一个协程, 直接执行
            ret = await ready_to_call
            if isinstance(ret, (MessageEventResult, CommandResult)):
                event.set_result(ret)
-                yield
+                yield  # 传递控制权给上一层的process函数
            else:
-                yield ret
+                yield ret  # 传递控制权给上一层的process函数
@@ -21,10 +21,19 @@ class WakingCheckStage(Stage):
    """

    async def initialize(self, ctx: PipelineContext) -> None:
+        """初始化唤醒检查阶段
+
+        Args:
+            ctx (PipelineContext): 消息管道上下文对象, 包括配置和插件管理器
+        """
        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
@@ -32,7 +41,7 @@ class WakingCheckStage(Stage):
        # 设置 sender 身份
        event.message_str = event.message_str.strip()
        for admin_id in self.ctx.astrbot_config["admins_id"]:
-            if event.get_sender_id() == admin_id:
+            if str(event.get_sender_id()) == admin_id:
                event.role = "admin"
                break

@@ -68,7 +77,7 @@ class WakingCheckStage(Stage):
                    event.is_at_or_wake_command = True
                    break
            # 检查是否是私聊
-            if event.is_private_chat():
+            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
@@ -102,6 +111,7 @@ class WakingCheckStage(Stage):
                            f"插件 {star_map[handler.handler_module_path].name}: {e}"
                        )
                    )
+                    await event._post_send()
                    event.stop_event()
                    passed = False
                    break
@@ -113,6 +123,7 @@ class WakingCheckStage(Stage):
                                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

@@ -15,6 +15,9 @@ class WhitelistCheckStage(Stage):
            "enable_id_white_list"
        ]
        self.whitelist = ctx.astrbot_config["platform_settings"]["id_whitelist"]
+        self.whitelist = [
+            str(i).strip() for i in self.whitelist if str(i).strip() != ""
+        ]
        self.wl_ignore_admin_on_group = ctx.astrbot_config["platform_settings"][
            "wl_ignore_admin_on_group"
        ]
@@ -51,7 +54,10 @@ class WhitelistCheckStage(Stage):
                and event.get_message_type() == MessageType.FRIEND_MESSAGE
            ):
                return
-        if event.unified_msg_origin not in self.whitelist:
+        if (
+            event.unified_msg_origin not in self.whitelist
+            and str(event.get_group_id()).strip() 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。"
@@ -1,7 +1,7 @@
 from .platform import Platform
 from .astr_message_event import AstrMessageEvent
 from .platform_metadata import PlatformMetadata
-from .astrbot_message import AstrBotMessage, MessageMember, MessageType
+from .astrbot_message import AstrBotMessage, MessageMember, MessageType, Group

 __all__ = [
    "Platform",
@@ -10,4 +10,5 @@ __all__ = [
    "AstrBotMessage",
    "MessageMember",
    "MessageType",
+    "Group",
 ]
@@ -1,10 +1,9 @@
 import abc
+import asyncio
 from dataclasses import dataclass
-from .astrbot_message import AstrBotMessage
-from .platform_metadata import PlatformMetadata
-from astrbot.core.message.message_event_result import MessageEventResult, MessageChain
-from astrbot.core.platform.message_type import MessageType
-from typing import List, Union
+from typing import List, Union, Optional
+
+from astrbot.core.db.po import Conversation
 from astrbot.core.message.components import (
    Plain,
    Image,
@@ -13,10 +12,14 @@ from astrbot.core.message.components import (
    At,
    AtAll,
    Forward,
+    Reply,
 )
-from astrbot.core.utils.metrics import Metric
+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.db.po import Conversation
+from astrbot.core.utils.metrics import Metric
+from .astrbot_message import AstrBotMessage, Group
+from .platform_metadata import PlatformMetadata


@dataclass
@@ -100,8 +103,15 @@ class AstrMessageEvent(abc.ABC):
            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:
@@ -192,13 +202,6 @@ class AstrMessageEvent(abc.ABC):
        """
        return self.role == "admin"

-    async def send(self, message: MessageChain):
-        """
-        发送消息到消息平台。
-        """
-        await Metric.upload(msg_event_tick=1, adapter_name=self.platform_meta.name)
-        self._has_send_oper = True
-
    async def _pre_send(self):
        """调度器会在执行 send() 前调用该方法"""

@@ -360,3 +363,26 @@ class AstrMessageEvent(abc.ABC):
            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)
+        """
+        ...
@@ -10,6 +10,41 @@ 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:
    """
@@ -64,6 +64,10 @@ class PlatformManager:
                    )
                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":
@@ -81,14 +85,18 @@ class PlatformManager:
            )
            return
        cls_type = platform_cls_map[platform_config["type"]]
-        inst = cls_type(platform_config, self.settings, self.event_queue)
-        self._inst_map[platform_config["id"]] = inst
+        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=platform_config["id"] + "_platform"
+                    inst.run(),
+                    name=f"platform_{platform_config['type']}_{platform_config['id']}",
                )
            )
        )
@@ -105,38 +113,42 @@ class PlatformManager:
            logger.error("-------")

    async def reload(self, platform_config: dict):
-        # 还未实现完成，不要调用此方法
-
-        if platform_config["id"] in self._inst_map:
-            # 正在运行
-            if getattr(self._inst_map[platform_config["id"]], "terminate", None):
-                logger.info(f"正在尝试终止 {platform_config['id']} 平台适配器 ...")
-                await self._inst_map[platform_config["id"]].terminate()
-                logger.info(f"{platform_config['id']} 平台适配器已终止。")
-                del self._inst_map[platform_config["id"]]
-                self.platform_insts.remove(self._inst_map[platform_config["id"]])
-            else:
-                logger.warning(f"可能无法正常终止 {platform_config['id']} 平台适配器。")
-
-            # 再启动新的实例
+        await self.terminate_platform(platform_config["id"])
+        if platform_config["enable"]:
            await self.load_platform(platform_config)

-        else:
-            # 先将 _inst_map 中在 platform_config 中不存在的实例删除
-            config_ids = [platform["id"] for platform in self.platforms_config]
-            for key in list(self._inst_map.keys()):
-                if key not in config_ids:
-                    if getattr(self._inst_map[key], "terminate", None):
-                        logger.info(f"正在尝试终止 {key} 平台适配器 ...")
-                        await self._inst_map[key].terminate()
-                        logger.info(f"{key} 平台适配器已终止。")
-                        del self._inst_map[key]
-                        self.platform_insts.remove(self._inst_map[key])
-                    else:
-                        logger.warning(f"可能无法正常终止 {key} 平台适配器。")
+        # 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)

-            # 再启动新的实例
-            await self.load_platform(platform_config)
+    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
@@ -1,4 +1,5 @@
 import abc
+import uuid
 from typing import Awaitable, Any
 from asyncio import Queue
 from .platform_metadata import PlatformMetadata
@@ -13,6 +14,7 @@ class Platform(abc.ABC):
        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]:
@@ -25,7 +27,7 @@ class Platform(abc.ABC):
        """
        终止一个平台的运行实例。
        """
-        pass
+        ...

    @abc.abstractmethod
    def meta(self) -> PlatformMetadata:
@@ -1,9 +1,9 @@
 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
-from astrbot.core.utils.io import file_to_base64, download_image_by_url


 class AiocqhttpMessageEvent(AstrMessageEvent):
@@ -21,20 +21,15 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
            d = segment.toDict()
            if isinstance(segment, Plain):
                d["type"] = "text"
+                d["data"]["text"] = segment.text.strip()
+                # 如果是空文本或者只带换行符的文本，不发送
+                if not d["data"]["text"]:
+                    continue
            elif isinstance(segment, (Image, Record)):
                # convert to base64
-                if segment.file and segment.file.startswith("file:///"):
-                    bs64_data = file_to_base64(segment.file[8:])
-                    image_file_path = segment.file[8:]
-                elif segment.file and segment.file.startswith("http"):
-                    image_file_path = await download_image_by_url(segment.file)
-                    bs64_data = file_to_base64(image_file_path)
-                elif segment.file and segment.file.startswith("base64://"):
-                    bs64_data = segment.file
-                else:
-                    bs64_data = file_to_base64(segment.file)
+                bs64 = await segment.convert_to_base64()
                d["data"] = {
-                    "file": bs64_data,
+                    "file": bs64,
                }
            elif isinstance(segment, At):
                d["data"] = {
@@ -46,6 +41,9 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
    async def send(self, message: MessageChain):
        ret = await AiocqhttpMessageEvent._parse_onebot_json(message)

+        if not ret:
+            return
+
        send_one_by_one = False
        for seg in message.chain:
            if isinstance(seg, (Node, Nodes)):
@@ -55,8 +53,13 @@ class AiocqhttpMessageEvent(AstrMessageEvent):

        if send_one_by_one:
            for seg in message.chain:
-                if isinstance(seg, Nodes):
-                    # 带有多个节点的合并转发消息
+                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()
@@ -78,3 +81,46 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
            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
@@ -43,8 +43,6 @@ class AiocqhttpAdapter(Platform):
            "适用于 OneBot 标准的消息平台适配器，支持反向 WebSockets。",
        )

-        self.stop = False
-
        self.bot = CQHttp(
            use_ws_reverse=True, import_name="aiocqhttp", api_timeout_sec=180
        )
@@ -140,7 +138,7 @@ class AiocqhttpAdapter(Platform):
            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)
+                str(abm.sender.user_id) + "_" + str(event.group_id)
            )  # 也保留群组 id
        else:
            abm.session_id = (
@@ -160,8 +158,14 @@ class AiocqhttpAdapter(Platform):

        return abm

-    async def _convert_handle_message_event(self, event: Event) -> AstrBotMessage:
-        """OneBot V11 消息类事件"""
+    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(
@@ -240,6 +244,36 @@ class AiocqhttpAdapter(Platform):
                    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)
@@ -267,22 +301,19 @@ class AiocqhttpAdapter(Platform):
        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.stop = True
-        await asyncio.sleep(1)
+        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 shutdown_trigger_placeholder(self):
-        # TODO: use asyncio.Event
-        while not self._event_queue.closed and not self.stop:  # noqa: ASYNC110
-            await asyncio.sleep(1)
-        logger.info("aiocqhttp 适配器已关闭。")
-
    async def handle_msg(self, message: AstrBotMessage):
        message_event = AiocqhttpMessageEvent(
            message_str=message.message_str,
@@ -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
@@ -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_markdown, "AstrBot", 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)
@@ -1,17 +1,26 @@
-import threading
 import asyncio
-import aiohttp
-import quart
 import base64
 import datetime
-import re
 import os
+import re
+import threading
+
+import aiohttp
 import anyio
-from astrbot.api.platform import AstrBotMessage, MessageMember, MessageType
-from astrbot.api.message_components import Plain, Image, At, Record
+import quart
+
 from astrbot.api import logger, sp
-from .downloader import GeweDownloader
+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:
@@ -51,11 +60,11 @@ class SimpleGewechatClient:

        self.server = quart.Quart(__name__)
        self.server.add_url_rule(
-            "/astrbot-gewechat/callback", view_func=self.callback, methods=["POST"]
+            "/astrbot-gewechat/callback", view_func=self._callback, methods=["POST"]
        )
        self.server.add_url_rule(
            "/astrbot-gewechat/file/<file_id>",
-            view_func=self.handle_file,
+            view_func=self._handle_file,
            methods=["GET"],
        )

@@ -70,9 +79,10 @@ class SimpleGewechatClient:

        self.userrealnames = {}

-        self.stop = False
+        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()
@@ -87,6 +97,15 @@ class SimpleGewechatClient:
            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
@@ -147,6 +166,11 @@ class SimpleGewechatClient:
            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))
@@ -178,6 +202,11 @@ class SimpleGewechatClient:
        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:
@@ -195,18 +224,42 @@ class SimpleGewechatClient:

            case 34:
                # 语音消息
-                # data = await self.multimedia_downloader.download_voice(
-                #     self.appid,
-                #     content,
-                #     abm.message_id
-                # )
-                # print(data)
                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
@@ -214,7 +267,7 @@ class SimpleGewechatClient:
        logger.debug(f"abm: {abm}")
        return abm

-    async def callback(self):
+    async def _callback(self):
        data = await quart.request.json
        logger.debug(f"收到 gewechat 回调: {data}")

@@ -236,7 +289,7 @@ class SimpleGewechatClient:

        return quart.jsonify({"r": "AstrBot ACK"})

-    async def handle_file(self, file_id):
+    async def _handle_file(self, file_id):
        file_path = f"data/temp/{file_id}"
        return await quart.send_file(file_path)

@@ -262,17 +315,14 @@ class SimpleGewechatClient:
        await self.server.run_task(
            host="0.0.0.0",
            port=self.port,
-            shutdown_trigger=self.shutdown_trigger_placeholder,
+            shutdown_trigger=self.shutdown_trigger,
        )

-    async def shutdown_trigger_placeholder(self):
-        # TODO: use asyncio.Event
-        while not self.event_queue.closed and not self.stop:  # noqa: ASYNC110
-            await asyncio.sleep(1)
-        logger.info("gewechat 适配器已关闭。")
+    async def shutdown_trigger(self):
+        await self.shutdown_event.wait()

    async def check_online(self, appid: str):
-        # /login/checkOnline
+        """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",
@@ -283,6 +333,7 @@ class SimpleGewechatClient:
                return json_blob["data"]

    async def logout(self):
+        """登出 gewechat。"""
        if self.appid:
            online = await self.check_online(self.appid)
            if online:
@@ -296,6 +347,7 @@ class SimpleGewechatClient:
                        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()

@@ -304,32 +356,49 @@ class SimpleGewechatClient:
        )

        if self.appid:
-            online = await self.check_online(self.appid)
-            if online:
-                logger.info(f"APPID: {self.appid} 已在线")
-                return
+            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}")

-        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:
-                    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}"
-                )
+        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
@@ -390,9 +459,18 @@ class SimpleGewechatClient:
            self.appid = appid
            logger.info(f"已保存 APPID: {appid}")

-    """API"""
+    """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):
+    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:
@@ -405,6 +483,7 @@ class SimpleGewechatClient:
                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,
@@ -421,6 +500,7 @@ class SimpleGewechatClient:
                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,
@@ -434,7 +514,79 @@ class SimpleGewechatClient:
                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,
@@ -449,9 +601,16 @@ class SimpleGewechatClient:
                f"{self.base_url}/message/postVoice", headers=self.headers, json=payload
            ) as resp:
                json_blob = await resp.json()
-                logger.debug(f"发送语音结果: {json_blob}")
+                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,
@@ -465,3 +624,131 @@ class SimpleGewechatClient:
            ) 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
+
+    async def get_contacts_list(self):
+        """
+        获取通讯录列表
+        见 https://apifox.com/apidoc/shared/69ba62ca-cb7d-437e-85e4-6f3d3df271b1/api-196794504
+        """
+        payload = {"appId": self.appid}
+
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/contacts/fetchContactsList",
+                headers=self.headers,
+                json=payload,
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"获取通讯录列表结果: {json_blob}")
+                return json_blob
@@ -39,3 +39,17 @@ class GeweDownloader:
                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}")
@@ -2,12 +2,21 @@ import wave
 import uuid
 import traceback
 import os
-from astrbot.core.utils.io import save_temp_img, download_image_by_url, download_file
+
+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
-from astrbot.api.message_components import Plain, Image, Record, At, File
+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


@@ -37,12 +46,9 @@ class GewechatPlatformEvent(AstrMessageEvent):
        self.client = client

    @staticmethod
-    async def send_with_client(message: MessageChain, user_name: str):
-        pass
-
-    async def send(self, message: MessageChain):
-        to_wxid = self.message_obj.raw_message.get("to_wxid", None)
-
+    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
@@ -70,56 +76,94 @@ class GewechatPlatformEvent(AstrMessageEvent):
                    payload["content"] = text
                    payload["ats"] = ats
                    has_at = True
-                await self.client.post_text(**payload)
+                await client.post_text(**payload)

            elif isinstance(comp, Image):
-                img_url = comp.file
-                img_path = ""
-                if img_url.startswith("file:///"):
-                    img_path = img_url[8:]
-                elif comp.file and comp.file.startswith("http"):
-                    img_path = await download_image_by_url(comp.file)
-                else:
-                    img_path = img_url
+                img_path = await comp.convert_to_file_path()

-                # 检查 record_path 是否在 data/temp 目录中, record_path 可能是绝对路径
+                # 检查 record_path 是否在 data/temp 目录中
                temp_directory = os.path.abspath("data/temp")
-                img_path = os.path.abspath(img_path)
                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"{self.client.file_server_url}/{file_id}"
+                img_url = f"{client.file_server_url}/{file_id}"
                logger.debug(f"gewe callback img url: {img_url}")
-                await self.client.post_image(to_wxid, 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 = ""
-
-                if record_url.startswith("file:///"):
-                    record_path = record_url[8:]
-                elif record_url.startswith("http"):
-                    await download_file(record_url, f"data/temp/{uuid.uuid4()}.wav")
-                else:
-                    record_path = record_url
+                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 self.send(
-                        MessageChain().message(f"语音文件转换失败。{str(e)}")
-                    )
+                    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"{self.client.file_server_url}/{file_id}"
+                record_url = f"{client.file_server_url}/{file_id}"
                logger.debug(f"gewe callback record url: {record_url}")
-                await self.client.post_voice(to_wxid, record_url, duration * 1000)
+                await client.post_voice(to_wxid, record_url, duration * 1000)
            elif isinstance(comp, File):
                file_path = comp.file
                file_name = comp.name
@@ -131,12 +175,44 @@ class GewechatPlatformEvent(AstrMessageEvent):
                    file_path = file_path

                file_id = os.path.basename(file_path)
-                file_url = f"{self.client.file_server_url}/{file_id}"
+                file_url = f"{client.file_server_url}/{file_id}"
                logger.debug(f"gewe callback file url: {file_url}")
-                await self.client.post_file(to_wxid, file_url, file_id)
+                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,
+        )
@@ -4,12 +4,11 @@ import os

 from astrbot.api.platform import Platform, AstrBotMessage, MessageType, PlatformMetadata
 from astrbot.api.event import MessageChain
-from astrbot.api import logger
 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.core.message.components import Plain
+from astrbot import logger

 if sys.version_info >= (3, 12):
    from typing import override
@@ -45,14 +44,16 @@ class GewechatPlatformAdapter(Platform):
    async def send_by_session(
        self, session: MessageSesion, message_chain: MessageChain
    ):
-        to_wxid = session.session_id
-        if not to_wxid:
-            logger.error("无法获取到 to_wxid。")
-            return
+        session_id = session.session_id
+        if "#" in session_id:
+            # unique session
+            to_wxid = session_id.split("#")[1]
+        else:
+            to_wxid = session_id

-        for comp in message_chain.chain:
-            if isinstance(comp, Plain):
-                await self.client.post_text(to_wxid, comp.text)
+        await GewechatPlatformEvent.send_with_client(
+            message_chain, to_wxid, self.client
+        )

        await super().send_by_session(session, message_chain)

@@ -64,8 +65,9 @@ class GewechatPlatformAdapter(Platform):
        )

    async def terminate(self):
-        self.client.stop = True
-        await asyncio.sleep(1)
+        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()
@@ -81,7 +83,7 @@ class GewechatPlatformAdapter(Platform):
    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.session_id = message.sender.user_id + "#" + message.group_id

        message_event = GewechatPlatformEvent(
            message_str=message.message_str,
@@ -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}")
@@ -2,6 +2,7 @@ import base64
 import asyncio
 import json
 import re
+import astrbot.api.message_components as Comp

 from astrbot.api.platform import (
    Platform,
@@ -11,7 +12,6 @@ from astrbot.api.platform import (
    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 .lark_event import LarkMessageEvent
 from ...register import register_platform_adapter
@@ -66,7 +66,7 @@ class LarkPlatformAdapter(Platform):
    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")
+        raise NotImplementedError("Lark 适配器不支持 send_by_session")

    def meta(self) -> PlatformMetadata:
        return PlatformMetadata(
@@ -92,7 +92,7 @@ class LarkPlatformAdapter(Platform):
        at_list = {}
        if message.mentions:
            for m in message.mentions:
-                at_list[m.key] = At(qq=m.id.open_id, name=m.name)
+                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

@@ -111,7 +111,7 @@ class LarkPlatformAdapter(Platform):
                if s in at_list:
                    abm.message.append(at_list[s])
                else:
-                    abm.message.append(Plain(parts[i].strip()))
+                    abm.message.append(Comp.Plain(parts[i].strip()))
        elif message.message_type == "post":
            _ls = []

@@ -132,7 +132,7 @@ class LarkPlatformAdapter(Platform):
                if comp["tag"] == "at":
                    abm.message.append(at_list[comp["user_id"]])
                elif comp["tag"] == "text" and comp["text"].strip():
-                    abm.message.append(Plain(comp["text"].strip()))
+                    abm.message.append(Comp.Plain(comp["text"].strip()))
                elif comp["tag"] == "img":
                    image_key = comp["image_key"]
                    request = (
@@ -147,10 +147,10 @@ class LarkPlatformAdapter(Platform):
                        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(Image.fromBase64(image_base64))
+                    abm.message.append(Comp.Image.fromBase64(image_base64))

        for comp in abm.message:
-            if isinstance(comp, Plain):
+            if isinstance(comp, Comp.Plain):
                abm.message_str += comp.text
        abm.message_id = message.message_id
        abm.raw_message = message
@@ -185,5 +185,9 @@ class LarkPlatformAdapter(Platform):
        # 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
@@ -122,16 +122,16 @@ class QQOfficialMessageEvent(AstrMessageEvent):
                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:]).replace("base64://", "")
+                    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).replace(
-                        "base64://", ""
-                    )
+                    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).replace("base64://", "")
-                    image_file_path = i.file
+                    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
@@ -17,6 +17,7 @@ from astrbot.api.platform import (
    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
@@ -204,3 +205,7 @@ class QQOfficialPlatformAdapter(Platform):

    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")
@@ -13,6 +13,7 @@ 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[:]:
@@ -111,3 +112,9 @@ class QQOfficialWebhookPlatformAdapter(Platform):

    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")
@@ -15,6 +15,7 @@ class QQOfficialWebhook:
        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)
@@ -29,6 +30,7 @@ class QQOfficialWebhook:
        )
        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...")
@@ -95,13 +97,14 @@ class QQOfficialWebhook:
        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="0.0.0.0",
+            host=self.callback_server_host,
            port=self.port,
-            shutdown_trigger=self.shutdown_trigger_placeholder,
+            shutdown_trigger=self.shutdown_trigger,
        )

-    async def shutdown_trigger_placeholder(self):
-        while not self.event_queue.closed:  # noqa: ASYNC110
-            await asyncio.sleep(1)
-        logger.info("qq_official_webhook 适配器已关闭。")
+    async def shutdown_trigger(self):
+        await self.shutdown_event.wait()
@@ -1,6 +1,7 @@
 import sys
 import uuid
 import asyncio
+import astrbot.api.message_components as Comp

 from astrbot.api.platform import (
    Platform,
@@ -10,14 +11,6 @@ from astrbot.api.platform import (
    MessageType,
 )
 from astrbot.api.event import MessageChain
-from astrbot.api.message_components import (
-    Plain,
-    Image,
-    Record,
-    File as AstrBotFile,
-    Video,
-    At,
-)
 from astrbot.core.platform.astr_message_event import MessageSesion
 from astrbot.api.platform import register_platform_adapter

@@ -50,18 +43,29 @@ class TelegramPlatformAdapter(Platform):
        )
        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.convert_message,
+            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(
@@ -93,70 +97,135 @@ class TelegramPlatformAdapter(Platform):
            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
+        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.effective_chat.type == ChatType.PRIVATE:
+        if update.message.chat.type == ChatType.PRIVATE:
            message.type = MessageType.FRIEND_MESSAGE
        else:
            message.type = MessageType.GROUP_MESSAGE
-            message.group_id = update.effective_chat.id
+            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.session_id = str(update.effective_chat.id)
        message.sender = MessageMember(
-            str(update.effective_user.id), update.effective_user.username
+            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 = []

-        logger.debug(f"Telegram message: {update.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(At(qq=name, name=name))
+                        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 :]
                        )

-            message.message.append(Plain(plain_text))
+            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 = [
-                Record(file=file.file_path, url=file.file_path),
+                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(Image(file=file.file_path, url=file.file_path))
+            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 = [
-                AstrBotFile(
-                    file=file.file_path, name=update.message.document.file_name
-                ),
+                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 = [
-                Video(file=file.file_path, path=file.file_path),
+                Comp.Video(file=file.file_path, path=file.file_path),
            ]

-        await self.handle_msg(message)
+        return message

    async def handle_msg(self, message: AstrBotMessage):
        message_event = TelegramPlatformEvent(
@@ -170,3 +239,15 @@ class TelegramPlatformAdapter(Platform):

    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}")
@@ -1,7 +1,10 @@
+import telegramify_markdown
 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
+from astrbot import logger


 class TelegramPlatformEvent(AstrMessageEvent):
@@ -31,36 +34,47 @@ class TelegramPlatformEvent(AstrMessageEvent):
                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)
+                text = i.text
+                try:
+                    text = telegramify_markdown.markdownify(
+                        i.text, max_line_length=None, normalize_whitespace=False
+                    )
+                except Exception as e:
+                    logger.warning(
+                        f"MarkdownV2 conversion failed: {e}. Using plain text instead."
+                    )
+                    return
+                await client.send_message(text=text, parse_mode="MarkdownV2", **payload)
            elif isinstance(i, Image):
-                if i.path:
-                    image_path = i.path
-                else:
-                    image_path = i.file
-
-                if image_path.startswith("base64://"):
-                    import base64
-
-                    base64_data = image_path[9:]
-                    image_bytes = base64.b64decode(base64_data)
-                    await client.send_photo(photo=image_bytes, **payload)
-                else:
-                    await client.send_photo(photo=image_path, **payload)
+                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):
-                await client.send_voice(voice=i.file, **payload)
+                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:
@@ -13,7 +13,7 @@ from astrbot.core.platform import (
 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, web_chat_back_queue
+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
@@ -50,14 +50,7 @@ class WebChatAdapter(Platform):
    async def send_by_session(
        self, session: MessageSesion, message_chain: MessageChain
    ):
-        # abm.session_id = f"webchat!{username}!{cid}"
-        plain = ""
-        cid = session.session_id.split("!")[-1]
-        for comp in message_chain.chain:
-            if isinstance(comp, Plain):
-                plain += comp.text
-        web_chat_back_queue.put_nowait((plain, cid))
-
+        await WebChatMessageEvent._send(message_chain, session.session_id)
        await super().send_by_session(session, message_chain)

    async def convert_message(self, data: tuple) -> AstrBotMessage:
@@ -126,3 +119,7 @@ class WebChatAdapter(Platform):
        )

        self.commit_event(message_event)
+
+    async def terminate(self):
+        # Do nothing
+        pass
@@ -3,23 +3,25 @@ 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.api.message_components import Plain, Image, Record
 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)
-        self.imgs_dir = "data/webchat/imgs"
-        os.makedirs(self.imgs_dir, exist_ok=True)
+        os.makedirs(imgs_dir, exist_ok=True)

-    async def send(self, message: MessageChain):
+    @staticmethod
+    async def _send(message: MessageChain, session_id: str):
        if not message:
            web_chat_back_queue.put_nowait(None)
            return

-        cid = self.session_id.split("!")[-1]
+        cid = session_id.split("!")[-1]

        for comp in message.chain:
            if isinstance(comp, Plain):
@@ -27,7 +29,7 @@ class WebChatMessageEvent(AstrMessageEvent):
            elif isinstance(comp, Image):
                # save image to local
                filename = str(uuid.uuid4()) + ".jpg"
-                path = os.path.join(self.imgs_dir, filename)
+                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:
@@ -45,7 +47,26 @@ class WebChatMessageEvent(AstrMessageEvent):
                        with open(comp.file, "rb") as f2:
                            f.write(f2.read())
                web_chat_back_queue.put_nowait((f"[IMAGE]{filename}", cid))
+            elif isinstance(comp, Record):
+                # save record to local
+                filename = str(uuid.uuid4()) + ".wav"
+                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 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"[RECORD]{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)
@@ -34,6 +34,7 @@ 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"]
        )
@@ -49,6 +50,7 @@ class WecomServer:
        )

        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}")
@@ -86,17 +88,17 @@ class WecomServer:
        return "success"

    async def start_polling(self):
-        logger.info(f"将在 0.0.0.0:{self.port} 端口启动 企业微信 适配器。")
+        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="0.0.0.0",
+            host=self.callback_server_host,
            port=self.port,
-            shutdown_trigger=self.shutdown_trigger_placeholder,
+            shutdown_trigger=self.shutdown_trigger,
        )

-    async def shutdown_trigger_placeholder(self):
-        while not self.event_queue.closed:  # noqa: ASYNC110
-            await asyncio.sleep(1)
-        logger.info("企业微信 适配器已关闭。")
+    async def shutdown_trigger(self):
+        await self.shutdown_event.wait()


@register_platform_adapter("wecom", "wecom 适配器")
@@ -232,3 +234,8 @@ class WecomPlatformAdapter(Platform):

    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")
@@ -3,7 +3,6 @@ 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.core.utils.io import download_image_by_url, download_file

 from astrbot.api import logger

@@ -43,14 +42,7 @@ class WecomPlatformEvent(AstrMessageEvent):
                    message_obj.self_id, message_obj.session_id, comp.text
                )
            elif isinstance(comp, Image):
-                img_url = comp.file
-                img_path = ""
-                if img_url.startswith("file:///"):
-                    img_path = img_url[8:]
-                elif comp.file and comp.file.startswith("http"):
-                    img_path = await download_image_by_url(comp.file)
-                else:
-                    img_path = img_url
+                img_path = await comp.convert_to_file_path()

                with open(img_path, "rb") as f:
                    try:
@@ -68,16 +60,7 @@ class WecomPlatformEvent(AstrMessageEvent):
                        response["media_id"],
                    )
            elif isinstance(comp, Record):
-                record_url = comp.file
-                record_path = ""
-
-                if record_url.startswith("file:///"):
-                    record_path = record_url[8:]
-                elif record_url.startswith("http"):
-                    await download_file(record_url, f"data/temp/{uuid.uuid4()}.wav")
-                else:
-                    record_path = record_url
-
+                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(
@@ -1,9 +1,18 @@
 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):
@@ -27,6 +36,58 @@ class ProviderMetaData:
    """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
@@ -36,7 +97,7 @@ class ProviderRequest:
    image_urls: List[str] = None
    """图片 URL 列表"""
    func_tool: FuncCall = None
-    """工具"""
+    """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
@@ -45,23 +106,164 @@ class ProviderRequest:
    """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.contexts}, system_prompt={self.system_prompt})"
+        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"""
-    completion_text: str = ""
-    """LLM 返回的文本"""
+    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
@@ -1,7 +1,30 @@
+from __future__ import annotations
 import json
 import textwrap
-from typing import Dict, List, Awaitable
+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
@@ -13,25 +36,101 @@ class FuncTool:
    name: str
    parameters: Dict
    description: str
-    handler: Awaitable
-    handler_module_path: str = None  # 必须要保留这个，handler 在初始化会被 functools.partial 包装，导致 handler 的 __module__ 为 functools
+    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"""

-SUPPORTED_TYPES = [
-    "string",
-    "number",
-    "object",
-    "array",
-    "boolean",
-]  # json schema 支持的数据类型
+    # 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
@@ -43,14 +142,16 @@ class FuncCall:
        desc: str,
        handler: Awaitable,
    ) -> None:
-        """
-        为函数调用（function-calling / tools-use）添加工具。
+        """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": {},
@@ -67,13 +168,14 @@ class FuncCall:
            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:
+            if f.name == name:
                self.func_list.pop(i)
                break

@@ -83,11 +185,166 @@ class FuncCall:
                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
@@ -137,7 +394,13 @@ class FuncCall:

            # 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)
@@ -153,9 +416,9 @@ class FuncCall:
                continue
            _l.append(
                {
-                    "name": f["name"],
-                    "parameters": f["parameters"],
-                    "description": f["description"],
+                    "name": f.name,
+                    "parameters": f.parameters,
+                    "description": f.description,
                }
            )
        func_definition = json.dumps(_l, ensure_ascii=False)
@@ -205,14 +468,11 @@ class FuncCall:
            func_name = tool["name"]
            args = tool["args"]
            # 调用函数
-            tool_callable = None
-            for func in self.func_list:
-                if func.name == func_name:
-                    tool_callable = func.star_handler_metadata.handler
-                    break
-            if not tool_callable:
+            func_tool = self.get_func(func_name)
+            if not func_tool:
                raise Exception(f"Request function {func_name} not found.")
-            ret = await tool_callable(**args)
+
+            ret = await func_tool.execute(**args)
            if ret:
                tool_call_result.append(str(ret))
        return tool_call_result, True
@@ -222,3 +482,8 @@ class FuncCall:

    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")
@@ -1,4 +1,5 @@
 import traceback
+import asyncio
 from astrbot.core.config.astrbot_config import AstrBotConfig
 from .provider import Provider, STTProvider, TTSProvider, Personality
 from .entites import ProviderType
@@ -127,14 +128,19 @@ class ProviderManager:
        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']}) 服务提供商适配器 ..."
+            f"载入 {provider_config['type']}({provider_config['id']}) 服务提供商 ..."
        )
-        logger.debug(f"Provider Config: {provider_config}")

        # 动态导入
        try:
@@ -192,6 +198,10 @@ class ProviderManager:
                    from .sources.fishaudio_tts_api_source import (
                        ProviderFishAudioTTSAPI as ProviderFishAudioTTSAPI,
                    )
+                case "dashscope_tts":
+                    from .sources.dashscope_tts import (
+                        ProviderDashscopeTTSAPI as ProviderDashscopeTTSAPI,
+                    )
        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。"
@@ -300,10 +310,42 @@ class ProviderManager:

        if len(self.provider_insts) == 0:
            self.curr_provider_inst = None
+        elif (
+            self.curr_provider_inst is None
+            and len(self.provider_insts) > 0
+            and self.provider_enabled
+        ):
+            self.curr_provider_inst = self.provider_insts[0]
+            self.selected_provider_id = self.curr_provider_inst.meta().id
+            logger.info(
+                f"自动选择 {self.curr_provider_inst.meta().id} 作为当前提供商适配器。"
+            )
+
        if len(self.stt_provider_insts) == 0:
            self.curr_stt_provider_inst = None
+        elif (
+            self.curr_stt_provider_inst is None
+            and len(self.stt_provider_insts) > 0
+            and self.stt_enabled
+        ):
+            self.curr_stt_provider_inst = self.stt_provider_insts[0]
+            self.selected_stt_provider_id = self.curr_stt_provider_inst.meta().id
+            logger.info(
+                f"自动选择 {self.curr_stt_provider_inst.meta().id} 作为当前语音转文本提供商适配器。"
+            )
+
        if len(self.tts_provider_insts) == 0:
            self.curr_tts_provider_inst = None
+        elif (
+            self.curr_tts_provider_inst is None
+            and len(self.tts_provider_insts) > 0
+            and self.tts_enabled
+        ):
+            self.curr_tts_provider_inst = self.tts_provider_insts[0]
+            self.selected_tts_provider_id = self.curr_tts_provider_inst.meta().id
+            logger.info(
+                f"自动选择 {self.curr_tts_provider_inst.meta().id} 作为当前文本转语音提供商适配器。"
+            )

    def get_insts(self):
        return self.provider_insts
@@ -340,3 +382,5 @@ class ProviderManager:
        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"})
@@ -3,7 +3,7 @@ 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
+from astrbot.core.provider.entites import LLMResponse, ToolCallsResult
 from dataclasses import dataclass


@@ -90,6 +90,7 @@ class Provider(AbstractProvider):
        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。
@@ -100,6 +101,7 @@ class Provider(AbstractProvider):
            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:
@@ -10,7 +10,7 @@ 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
+from astrbot.core.provider.entites import LLMResponse, ToolCallsResult
 from .openai_source import ProviderOpenAIOfficial


@@ -79,11 +79,14 @@ class ProviderAnthropic(ProviderOpenAIOfficial):
            # 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}。")
@@ -101,6 +104,7 @@ class ProviderAnthropic(ProviderOpenAIOfficial):
        func_tool: FuncCall = None,
        contexts=[],
        system_prompt=None,
+        tool_calls_result: ToolCallsResult = None,
        **kwargs,
    ) -> LLMResponse:
        if not prompt:
@@ -113,6 +117,10 @@ class ProviderAnthropic(ProviderOpenAIOfficial):
            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}
@@ -1,3 +1,4 @@
+import re
 import asyncio
 import functools
 from typing import List
@@ -40,11 +41,28 @@ class ProviderDashscope(ProviderOpenAIOfficial):
            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):
+        """判断是否有 RAG 选项
+
+        Returns:
+            bool: 是否有 RAG 选项
+        """
+        if self.rag_options and (
+            len(self.rag_options.get("pipeline_ids", [])) > 0
+            or len(self.rag_options.get("file_ids", [])) > 0
+        ):
+            return True
+        return False
+
    async def text_chat(
        self,
        prompt: str,
@@ -62,7 +80,10 @@ class ProviderDashscope(ProviderOpenAIOfficial):
        session_var = session_vars.get(session_id, {})
        payload_vars.update(session_var)

-        if self.dashscope_app_type in ["agent", "dialog-workflow"]:
+        if (
+            self.dashscope_app_type in ["agent", "dialog-workflow"]
+            and not self.has_rag_options()
+        ):
            # 支持多轮对话的
            new_record = {"role": "user", "content": prompt}
            if image_urls:
@@ -75,23 +96,31 @@ class ProviderDashscope(ProviderOpenAIOfficial):
                if "_no_save" in part:
                    del part["_no_save"]
            # 调用阿里云百炼 API
+            payload = {
+                "app_id": self.app_id,
+                "api_key": self.api_key,
+                "messages": context_query,
+                "biz_params": payload_vars or None,
+            }
            partial = functools.partial(
                Application.call,
-                app_id=self.app_id,
-                api_key=self.api_key,
-                messages=context_query,
-                biz_params=payload_vars or None,
+                **payload,
            )
            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,
-                app_id=self.app_id,
-                promtp=prompt,
-                api_key=self.api_key,
-                biz_params=payload_vars or None,
+                **payload,
            )
            response = await asyncio.get_event_loop().run_in_executor(None, partial)

@@ -107,6 +136,15 @@ class ProviderDashscope(ProviderOpenAIOfficial):
            )

        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_title = ref.get("title", "") if ref.get("title") else ref.get("doc_name", "")
+                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):
@@ -0,0 +1,39 @@
+import dashscope
+import uuid
+import asyncio
+from dashscope.audio.tts_v2 import *
+from ..provider import TTSProvider
+from ..entites import ProviderType
+from ..register import register_provider_adapter
+
+
+@register_provider_adapter(
+    "dashscope_tts", "Dashscope TTS API", provider_type=ProviderType.TEXT_TO_SPEECH
+)
+class ProviderDashscopeTTSAPI(TTSProvider):
+    def __init__(
+        self,
+        provider_config: dict,
+        provider_settings: dict,
+    ) -> None:
+        super().__init__(provider_config, provider_settings)
+        self.chosen_api_key: str = provider_config.get("api_key", "")
+        self.voice: str = provider_config.get("dashscope_tts_voice", "loongstella")
+        self.set_model(provider_config.get("model", None))
+        self.timeout_ms = float(provider_config.get("timeout", 20))*1000
+
+        dashscope.api_key = self.chosen_api_key
+        self.synthesizer = SpeechSynthesizer(
+            model=self.get_model(),
+            voice=self.voice,
+            format=AudioFormat.WAV_24000HZ_MONO_16BIT,
+        )
+
+    async def get_audio(self, text: str) -> str:
+        path = f"data/temp/dashscope_tts_{uuid.uuid4()}.wav"
+        audio = await asyncio.get_event_loop().run_in_executor(
+            None, self.synthesizer.call, text, self.timeout_ms
+        )
+        with open(path, "wb") as f:
+            f.write(audio)
+        return path
@@ -1,3 +1,5 @@
+import astrbot.core.message.components as Comp
+
 from typing import List
 from .. import Provider, Personality
 from ..entites import LLMResponse
@@ -5,8 +7,9 @@ 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
+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。")
@@ -30,7 +33,6 @@ class ProviderDify(Provider):
        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_client = DifyAPIClient(self.api_key, api_base)
        self.api_type = provider_config.get("dify_api_type", "")
        if not self.api_type:
            raise Exception("Dify API 类型不能为空。")
@@ -41,15 +43,19 @@ class ProviderDify(Provider):
        self.dify_query_input_key = provider_config.get(
            "dify_query_input_key", "astrbot_text_query"
        )
-        self.variables: dict = provider_config.get("variables", {})
        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,
@@ -65,26 +71,27 @@ class ProviderDify(Provider):

        files_payload = []
        for image_url in image_urls:
-            if image_url.startswith("http"):
-                image_path = await download_image_by_url(image_url)
-                file_response = await self.api_client.file_upload(
-                    image_path, user=session_id
+            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。"
                )
-                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"],
-                    }
-                )
-            else:
-                # TODO: 处理更多情况
-                logger.warning(f"未知的图片链接：{image_url}，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()
@@ -96,6 +103,9 @@ class ProviderDify(Provider):
        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,
@@ -148,8 +158,9 @@ class ProviderDify(Provider):
                                )
                            case "workflow_finished":
                                logger.info(
-                                    f"Dify 工作流(ID: {chunk['workflow_run_id']})运行结束。"
+                                    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']}"
@@ -164,9 +175,7 @@ class ProviderDify(Provider):
                                    raise Exception(
                                        f"Dify 工作流的输出不包含指定的键名：{self.workflow_output_key}"
                                    )
-                                result = chunk["data"]["outputs"][
-                                    self.workflow_output_key
-                                ]
+                                result = chunk
                case _:
                    raise Exception(f"未知的 Dify API 类型：{self.api_type}")
        except Exception as e:
@@ -176,7 +185,54 @@ class ProviderDify(Provider):
        if not result:
            logger.warning("Dify 请求结果为空，请查看 Debug 日志。")

-        return LLMResponse(role="assistant", completion_text=result)
+        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] = ""
@@ -35,6 +35,8 @@ class ProviderEdgeTTS(TTSProvider):
        self.pitch = provider_config.get("pitch", None)
        self.timeout = provider_config.get("timeout", 30)

+        self.proxy = os.getenv("https_proxy", None)
+
        self.set_model("edge_tts")

    async def get_audio(self, text: str) -> str:
@@ -42,7 +44,7 @@ class ProviderEdgeTTS(TTSProvider):
        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
+        # 构建 Edge TTS 参数
        kwargs = {"text": text, "voice": self.voice}
        if self.rate:
            kwargs["rate"] = self.rate
@@ -52,12 +54,20 @@ class ProviderEdgeTTS(TTSProvider):
            kwargs["pitch"] = self.pitch

        try:
-            communicate = edge_tts.Communicate(**kwargs)
+            communicate = edge_tts.Communicate(proxy=self.proxy, **kwargs)
            await communicate.save(mp3_path)

-            # 使用ffmpeg将MP3转换为标准WAV格式
-            _ = await asyncio.create_subprocess_exec(
-                [
+            try:
+                from pyffmpeg import FFmpeg
+
+                ff = FFmpeg()
+                ff.convert(input=mp3_path, output=wav_path)
+            except Exception as e:
+                logger.debug(f"pyffmpeg 转换失败: {e}, 尝试使用 ffmpeg 命令行进行转换")
+                # use ffmpeg command line
+
+                # 使用ffmpeg将MP3转换为标准WAV格式
+                p = await asyncio.create_subprocess_exec(
                    "ffmpeg",
                    "-y",  # 覆盖输出文件
                    "-i",
@@ -68,11 +78,20 @@ class ProviderEdgeTTS(TTSProvider):
                    "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
-                ],
-                capture_output=True,
-                check=True,
-            )
+                    stdout=subprocess.PIPE,
+                    stderr=subprocess.PIPE,
+                )
+                # 等待进程完成并获取输出
+                stdout, stderr = await p.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): {p.returncode}")

            os.remove(mp3_path)
            if os.path.exists(wav_path) and os.path.getsize(wav_path) > 0:
@@ -82,13 +101,15 @@ class ProviderEdgeTTS(TTSProvider):
                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)}")
+            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)}")
+            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)}")
@@ -1,6 +1,10 @@
 import base64
 import aiohttp
+import json
 import random
+import asyncio
+import astrbot.core.message.components as Comp
+from astrbot.core.message.message_event_result import MessageChain
 from astrbot.core.utils.io import download_image_by_url
 from astrbot.core.db import BaseDatabase
 from astrbot.api.provider import Provider, Personality
@@ -38,6 +42,8 @@ class SimpleGoogleGenAIClient:
        model: str = "gemini-1.5-flash",
        system_instruction: str = "",
        tools: dict = None,
+        modalities: List[str] = ["Text"],
+        safety_settings: List[dict] = [],
    ):
        payload = {}
        if system_instruction:
@@ -45,6 +51,13 @@ class SimpleGoogleGenAIClient:
        if tools:
            payload["tools"] = [tools]
        payload["contents"] = contents
+        payload["generationConfig"] = {
+            "responseModalities": modalities,
+        }
+        payload["safetySettings"] = [
+            {"category": s["category"], "threshold": s["threshold"]}
+            for s in safety_settings
+        ]
        logger.debug(f"payload: {payload}")
        request_url = (
            f"{self.api_base}/v1beta/models/{model}:generateContent?key={self.api_key}"
@@ -98,6 +111,21 @@ class ProviderGoogleGenAI(Provider):
        )
        self.set_model(provider_config["model_config"]["model"])

+        safety_mapping = {
+            "harassment": "HARM_CATEGORY_HARASSMENT",
+            "hate_speech": "HARM_CATEGORY_HATE_SPEECH",
+            "sexually_explicit": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+            "dangerous_content": "HARM_CATEGORY_DANGEROUS_CONTENT",
+        }
+
+        self.safety_settings = []
+        user_safety_config = self.provider_config.get("gm_safety_settings", {})
+        for config_key, harm_category in safety_mapping.items():
+            if threshold := user_safety_config.get(config_key):
+                self.safety_settings.append(
+                    {"category": harm_category, "threshold": threshold}
+                )
+
    async def get_models(self):
        return await self.client.models_list()

@@ -119,7 +147,7 @@ class ProviderGoogleGenAI(Provider):
            if message["role"] == "user":
                if isinstance(message["content"], str):
                    if not message["content"]:
-                        message["content"] = "<empty_content>"
+                        message["content"] = ""

                    google_genai_conversation.append(
                        {"role": "user", "parts": [{"text": message["content"]}]}
@@ -130,7 +158,7 @@ class ProviderGoogleGenAI(Provider):
                    for part in message["content"]:
                        if part["type"] == "text":
                            if not part["text"]:
-                                part["text"] = "<empty_content>"
+                                part["text"] = ""
                            parts.append({"text": part["text"]})
                        elif part["type"] == "image_url":
                            parts.append(
@@ -146,36 +174,105 @@ class ProviderGoogleGenAI(Provider):
                    google_genai_conversation.append({"role": "user", "parts": parts})

            elif message["role"] == "assistant":
-                if not message["content"]:
-                    message["content"] = "<empty_content>"
-                google_genai_conversation.append(
-                    {"role": "model", "parts": [{"text": message["content"]}]}
+                if "content" in message:
+                    if not message["content"]:
+                        message["content"] = ""
+                    google_genai_conversation.append(
+                        {"role": "model", "parts": [{"text": message["content"]}]}
+                    )
+                elif "tool_calls" in message:
+                    # tool calls in the last turn
+                    parts = []
+                    for tool_call in message["tool_calls"]:
+                        parts.append(
+                            {
+                                "functionCall": {
+                                    "name": tool_call["function"]["name"],
+                                    "args": json.loads(
+                                        tool_call["function"]["arguments"]
+                                    ),
+                                }
+                            }
+                        )
+                    google_genai_conversation.append({"role": "model", "parts": parts})
+            elif message["role"] == "tool":
+                parts = []
+                parts.append(
+                    {
+                        "functionResponse": {
+                            "name": message["tool_call_id"],
+                            "response": {
+                                "name": message["tool_call_id"],
+                                "content": message["content"],
+                            },
+                        }
+                    }
                )
+                google_genai_conversation.append({"role": "user", "parts": parts})

        logger.debug(f"google_genai_conversation: {google_genai_conversation}")

-        result = await self.client.generate_content(
-            contents=google_genai_conversation,
-            model=self.get_model(),
-            system_instruction=system_instruction,
-            tools=tool,
-        )
-        logger.debug(f"result: {result}")
+        modalites = ["Text"]
+        if self.provider_config.get("gm_resp_image_modal", False):
+            modalites.append("Image")

-        if "candidates" not in result:
-            raise Exception("Gemini 返回异常结果: " + str(result))
+        loop = True
+        while loop:
+            loop = False
+            result = await self.client.generate_content(
+                contents=google_genai_conversation,
+                model=self.get_model(),
+                system_instruction=system_instruction,
+                tools=tool,
+                modalities=modalites,
+                safety_settings=self.safety_settings,
+            )
+            logger.debug(f"result: {result}")
+
+            # Developer instruction is not enabled for models/gemini-2.0-flash-exp
+            if "Developer instruction is not enabled" in str(result):
+                logger.warning(
+                    f"{self.get_model()} 不支持 system prompt, 已自动去除, 将会影响人格设置。"
+                )
+                system_instruction = ""
+                loop = True
+
+            elif "Function calling is not enabled" in str(result):
+                logger.warning(
+                    f"{self.get_model()} 不支持函数调用，已自动去除，不影响使用。"
+                )
+                tool = None
+                loop = True
+
+            elif "Multi-modal output is not supported" in str(result):
+                logger.warning(
+                    f"{self.get_model()} 不支持多模态输出，降级为文本模态重新请求。"
+                )
+                modalites = ["Text"]
+                loop = True
+
+            elif "candidates" not in result:
+                raise Exception("Gemini 返回异常结果: " + str(result))

        candidates = result["candidates"][0]["content"]["parts"]
        llm_response = LLMResponse("assistant")
+        chain = []
        for candidate in candidates:
            if "text" in candidate:
-                llm_response.completion_text += candidate["text"]
+                chain.append(Comp.Plain(candidate["text"]))
            elif "functionCall" in candidate:
                llm_response.role = "tool"
                llm_response.tools_call_args.append(candidate["functionCall"]["args"])
                llm_response.tools_call_name.append(candidate["functionCall"]["name"])
+                llm_response.tools_call_ids.append(
+                    candidate["functionCall"]["name"]
+                )  # 没有 tool id
+            elif "inlineData" in candidate:
+                mime_type: str = candidate["inlineData"]["mimeType"]
+                if mime_type.startswith("image/"):
+                    chain.append(Comp.Image.fromBase64(candidate["inlineData"]["data"]))

-        llm_response.completion_text = llm_response.completion_text.strip()
+        llm_response.result_chain = MessageChain(chain=chain)
        return llm_response

    async def text_chat(
@@ -186,6 +283,7 @@ class ProviderGoogleGenAI(Provider):
        func_tool: FuncCall = None,
        contexts=[],
        system_prompt=None,
+        tool_calls_result=None,
        **kwargs,
    ) -> LLMResponse:
        new_record = await self.assemble_context(prompt, image_urls)
@@ -198,6 +296,10 @@ class ProviderGoogleGenAI(Provider):
            if "_no_save" in part:
                del part["_no_save"]

+        # tool calls result
+        if tool_calls_result:
+            context_query.extend(tool_calls_result.to_openai_messages())
+
        model_config = self.provider_config.get("model_config", {})
        model_config["model"] = self.get_model()

@@ -214,46 +316,20 @@ class ProviderGoogleGenAI(Provider):
                llm_response = await self._query(payloads, func_tool)
                break
            except Exception as e:
-                if "maximum context length" in str(e):
-                    retry_cnt = 20
-                    while retry_cnt > 0:
-                        logger.warning(
-                            f"请求失败：{e}。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)
-                            llm_response = await self._query(payloads, func_tool)
-                            break
-                        except Exception as e:
-                            if "maximum context length" in str(e):
-                                retry_cnt -= 1
-                            else:
-                                raise e
-                    if retry_cnt == 0:
-                        llm_response = LLMResponse(
-                            "err", "err: 请尝试  /reset 重置会话"
-                        )
-                elif "Function calling is not enabled" in str(e):
-                    logger.info(
-                        f"{self.get_model()} 不支持函数工具调用，已自动去除，不影响使用。"
-                    )
-                    if "tools" in payloads:
-                        del payloads["tools"]
-                    llm_response = await self._query(payloads, None)
-                    break
-                elif "429" in str(e) or "API key not valid" in str(e):
+                if "429" in str(e) or "API key not valid" in str(e):
                    keys.remove(chosen_key)
                    if len(keys) > 0:
                        chosen_key = random.choice(keys)
                        logger.info(
                            f"检测到 Key 异常({str(e)})，正在尝试更换 API Key 重试... 当前 Key: {chosen_key[:12]}..."
                        )
+                        await asyncio.sleep(1)
                        continue
                    else:
                        logger.error(
                            f"检测到 Key 异常({str(e)})，且已没有可用的 Key。 当前 Key: {chosen_key[:12]}..."
                        )
-                        raise Exception("API 资源已耗尽，且没有可用的 Key 重试...")
+                        raise Exception("达到了 Gemini 速率限制, 请稍后再试...")
                else:
                    logger.error(
                        f"发生了错误(gemini_source)。Provider 配置如下: {self.provider_config}"
@@ -2,6 +2,8 @@ import base64
 import json
 import os
 import inspect
+import random
+import asyncio

 from openai import AsyncOpenAI, AsyncAzureOpenAI
 from openai.types.chat.chat_completion import ChatCompletion
@@ -120,15 +122,18 @@ class ProviderOpenAIOfficial(Provider):
            # tools call (function calling)
            args_ls = []
            func_name_ls = []
+            tool_call_ids = []
            for tool_call in choice.message.tool_calls:
                for tool in tools.func_list:
                    if tool.name == tool_call.function.name:
                        args = json.loads(tool_call.function.arguments)
                        args_ls.append(args)
                        func_name_ls.append(tool_call.function.name)
+                        tool_call_ids.append(tool_call.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_call_ids

        if choice.finish_reason == "content_filter":
            raise Exception(
@@ -151,6 +156,7 @@ class ProviderOpenAIOfficial(Provider):
        func_tool: FuncCall = None,
        contexts=[],
        system_prompt=None,
+        tool_calls_result=None,
        **kwargs,
    ) -> LLMResponse:
        new_record = await self.assemble_context(prompt, image_urls)
@@ -162,82 +168,91 @@ class ProviderOpenAIOfficial(Provider):
            if "_no_save" in part:
                del part["_no_save"]

+        # tool calls result
+        if tool_calls_result:
+            context_query.extend(tool_calls_result.to_openai_messages())
+
        model_config = self.provider_config.get("model_config", {})
        model_config["model"] = self.get_model()

        payloads = {"messages": context_query, **model_config}
+
        llm_response = None
-        try:
-            llm_response = await self._query(payloads, func_tool)
-        except UnprocessableEntityError as e:
-            logger.warning(f"不可处理的实体错误：{e}，尝试删除图片。")
-            # 尝试删除所有 image
-            new_contexts = await self._remove_image_from_context(context_query)
-            payloads["messages"] = new_contexts
-            context_query = new_contexts
-            llm_response = await self._query(payloads, func_tool)
-        except Exception as e:
-            if "maximum context length" in str(e):
-                # 重试 10 次
-                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)
-                        llm_response = await self._query(payloads, func_tool)
-                        break
-                    except Exception as e:
-                        if "maximum context length" in str(e):
-                            retry_cnt -= 1
-                        else:
-                            raise e
-                if retry_cnt == 0:
-                    llm_response = LLMResponse(
-                        "err", "err: 请尝试 /reset 清除会话记录。"
-                    )
-            elif "The model is not a VLM" in str(e):  # siliconcloud
+
+        max_retries = 10
+        available_api_keys = self.api_keys.copy()
+        chosen_key = random.choice(available_api_keys)
+
+        e = None
+        retry_cnt = 0
+        for retry_cnt in range(max_retries):
+            try:
+                self.client.api_key = chosen_key
+                llm_response = await self._query(payloads, func_tool)
+                break
+            except UnprocessableEntityError as e:
+                logger.warning(f"不可处理的实体错误：{e}，尝试删除图片。")
                # 尝试删除所有 image
                new_contexts = await self._remove_image_from_context(context_query)
                payloads["messages"] = new_contexts
-                llm_response = await self._query(payloads, func_tool)
-
-            # openai, ollama, gemini openai, siliconcloud 的错误提示与 code 不统一，只能通过字符串匹配
-            elif (
-                "does not support Function Calling" in str(e)
-                or "does not support tools" in str(e)
-                or "Function call is not supported" in str(e)
-                or "Function calling is not enabled" in str(e)
-                or "Tool calling is not supported" in str(e)
-                or "No endpoints found that support tool use" in str(e)
-                or "model does not support function calling" in str(e)
-                or ("tool" in str(e) and "support" in str(e).lower())
-                or ("function" in str(e) and "support" in str(e).lower())
-            ):
-                logger.info(
-                    f"{self.get_model()} 不支持函数工具调用，已自动去除，不影响使用。"
-                )
-                if "tools" in payloads:
-                    del payloads["tools"]
-                llm_response = await self._query(payloads, None)
-            else:
-                logger.error(f"发生了错误。Provider 配置如下: {self.provider_config}")
-
-                if "tool" in str(e).lower() and "support" in str(e).lower():
+                context_query = new_contexts
+            except Exception as e:
+                if "429" in str(e):
+                    logger.warning(
+                        f"API 调用过于频繁，尝试使用其他 Key 重试。当前 Key: {chosen_key[:12]}"
+                    )
+                    # 最后一次不等待
+                    if retry_cnt < max_retries - 1:
+                        await asyncio.sleep(1)
+                    available_api_keys.remove(chosen_key)
+                    if len(available_api_keys) > 0:
+                        chosen_key = random.choice(available_api_keys)
+                        continue
+                    else:
+                        raise e
+                elif "maximum context length" in str(e):
+                    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)}"
+                    )
+                    await self.pop_record(context_query)
+                elif "The model is not a VLM" in str(e):  # siliconcloud
+                    # 尝试删除所有 image
+                    new_contexts = await self._remove_image_from_context(context_query)
+                    payloads["messages"] = new_contexts
+                elif (
+                    "Function calling is not enabled" in str(e)
+                    or ("tool" in str(e).lower() and "support" in str(e).lower())
+                    or ("function" in str(e).lower() and "support" in str(e).lower())
+                ):
+                    # openai, ollama, gemini openai, siliconcloud 的错误提示与 code 不统一，只能通过字符串匹配
+                    logger.info(
+                        f"{self.get_model()} 不支持函数工具调用，已自动去除，不影响使用。"
+                    )
+                    if "tools" in payloads:
+                        del payloads["tools"]
+                    func_tool = None
+                else:
                    logger.error(
-                        "疑似该模型不支持函数调用工具调用。请输入 /tool off_all"
+                        f"发生了错误。Provider 配置如下: {self.provider_config}"
                    )

-                if "Connection error." in str(e):
-                    proxy = os.environ.get("http_proxy", None)
-                    if proxy:
+                    if "tool" in str(e).lower() and "support" in str(e).lower():
                        logger.error(
-                            f"可能为代理原因，请检查代理是否正常。当前代理: {proxy}"
+                            "疑似该模型不支持函数调用工具调用。请输入 /tool off_all"
                        )

-                raise e
+                    if "Connection error." in str(e):
+                        proxy = os.environ.get("http_proxy", None)
+                        if proxy:
+                            logger.error(
+                                f"可能为代理原因，请检查代理是否正常。当前代理: {proxy}"
+                            )

+                    raise e
+
+        if retry_cnt == max_retries - 1:
+            logger.error(f"API 调用失败，重试 {max_retries} 次仍然失败。")
+            raise e
        return llm_response

    async def _remove_image_from_context(self, contexts: List):
@@ -275,10 +290,8 @@ class ProviderOpenAIOfficial(Provider):
    def set_key(self, key):
        self.client.api_key = key

-    async def assemble_context(self, text: str, image_urls: List[str] = None):
-        """
-        组装上下文。
-        """
+    async def assemble_context(self, text: str, image_urls: List[str] = None) -> dict:
+        """组装成符合 OpenAI 格式的 role 为 user 的消息段"""
        if image_urls:
            user_content = {"role": "user", "content": [{"type": "text", "text": text}]}
            for image_url in image_urls:
@@ -18,10 +18,14 @@ class ProviderOpenAITTSAPI(TTSProvider):
        self.chosen_api_key = provider_config.get("api_key", "")
        self.voice = provider_config.get("openai-tts-voice", "alloy")

+        timeout = provider_config.get("timeout", NOT_GIVEN)
+        if isinstance(timeout, str):
+            timeout = int(timeout)
+
        self.client = AsyncOpenAI(
            api_key=self.chosen_api_key,
            base_url=provider_config.get("api_base", None),
-            timeout=provider_config.get("timeout", NOT_GIVEN),
+            timeout=timeout,
        )

        self.set_model(provider_config.get("model", None))
@@ -48,14 +48,6 @@ class ProviderSenseVoiceSTTSelfHost(STTProvider):
        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
        return os.path.join("data", "temp", f"{timestamp}")

-    async def _convert_audio(self, path: str) -> str:
-        from pyffmpeg import FFmpeg
-
-        filename = await self.get_timestamped_path() + ".mp3"
-        ff = FFmpeg()
-        output_path = ff.convert(path, os.path.join('data","temp', filename))
-        return output_path
-
    async def _is_silk_file(self, file_path):
        silk_header = b"SILK"
        with open(file_path, "rb") as f:
@@ -31,14 +31,6 @@ class ProviderOpenAIWhisperAPI(STTProvider):

        self.set_model(provider_config.get("model", None))

-    async def _convert_audio(self, path: str) -> str:
-        from pyffmpeg import FFmpeg
-
-        filename = str(uuid.uuid4()) + ".mp3"
-        ff = FFmpeg()
-        output_path = ff.convert(path, os.path.join("data/temp", filename))
-        return output_path
-
    async def _is_silk_file(self, file_path):
        silk_header = b"SILK"
        with open(file_path, "rb") as f:
@@ -33,14 +33,6 @@ class ProviderOpenAIWhisperSelfHost(STTProvider):
        )
        logger.info("Whisper 模型加载完成。")

-    async def _convert_audio(self, path: str) -> str:
-        from pyffmpeg import FFmpeg
-
-        filename = str(uuid.uuid4()) + ".mp3"
-        ff = FFmpeg()
-        output_path = ff.convert(path, os.path.join("data/temp", filename))
-        return output_path
-
    async def _is_silk_file(self, file_path):
        silk_header = b"SILK"
        with open(file_path, "rb") as f:
@@ -4,12 +4,14 @@ from .context import Context
 from astrbot.core.provider import Provider
 from astrbot.core.utils.command_parser import CommandParserMixin
 from astrbot.core import html_renderer
+from astrbot.core.star.star_tools import StarTools


 class Star(CommandParserMixin):
    """所有插件（Star）的父类，所有插件都应该继承于这个类"""

    def __init__(self, context: Context):
+        StarTools.initialize(context)
        self.context = context

    async def text_to_image(self, text: str, return_url=True) -> str:
@@ -27,4 +29,4 @@ class Star(CommandParserMixin):
        pass


-__all__ = ["Star", "StarMetadata", "PluginManager", "Context", "Provider"]
+__all__ = ["Star", "StarMetadata", "PluginManager", "Context", "Provider", "StarTools"]
@@ -183,11 +183,15 @@ class Context:
        获取指定类型的平台适配器。
        """
        for platform in self.platform_manager.platform_insts:
+            name = platform.meta().name
            if isinstance(platform_type, str):
-                if platform.meta().name == platform_type:
+                if name == platform_type:
                    return platform
            else:
-                if platform.meta().name == ADAPTER_NAME_2_TYPE[platform_type]:
+                if (
+                    name in ADAPTER_NAME_2_TYPE
+                    and ADAPTER_NAME_2_TYPE[name] & platform_type
+                ):
                    return platform

    async def send_message(
@@ -15,7 +15,6 @@ from ..filter.regex import RegexFilter
 from typing import Awaitable
 from astrbot.core.provider.func_tool_manager import SUPPORTED_TYPES
 from astrbot.core.provider.register import llm_tools
-from astrbot.core import logger


 def get_handler_full_name(awaitable: Awaitable) -> str:
@@ -359,9 +358,9 @@ def register_llm_tool(name: str = None):
                }
            )
        md = get_handler_or_create(awaitable, EventType.OnCallingFuncToolEvent)
-        llm_tools.add_func(llm_tool_name, args, docstring.description, md.handler)
-
-        logger.debug(f"LLM 函数工具 {llm_tool_name} 已注册")
+        llm_tools.add_func(
+            llm_tool_name, args, docstring.description.strip(), md.handler
+        )
        return awaitable

    return decorator
@@ -14,6 +14,8 @@ star_map: Dict[str, StarMetadata] = {}
 class StarMetadata:
    """
    插件的元数据。
+
+    当 activated 为 False 时，star_cls 可能为 None，请不要在插件未激活时调用 star_cls 的方法。
    """

    name: str
@@ -1,3 +1,7 @@
+"""
+插件的重载、启停、安装、卸载等操作。
+"""
+
 import inspect
 import functools
 import os
@@ -75,7 +79,7 @@ class PluginManager:
                elif os.path.exists(os.path.join(path, d, d + ".py")):
                    module_str = d
                else:
-                    print(f"插件 {d} 未找到 main.py 或者 {d}.py，跳过。")
+                    logger.info(f"插件 {d} 未找到 main.py 或者 {d}.py，跳过。")
                    continue
                if os.path.exists(os.path.join(path, d, "main.py")) or os.path.exists(
                    os.path.join(path, d, d + ".py")
@@ -164,7 +168,6 @@ class PluginManager:

    async def reload(self, specified_plugin_name=None):
        """扫描并加载所有的插件 当 specified_module_path 指定时，重载指定插件"""
-
        specified_module_path = None
        if specified_plugin_name:
            for smd in star_registry:
@@ -184,6 +187,8 @@ class PluginManager:
                        f"插件 {smd.name} 未被正常终止: {str(e)}, 可能会导致该插件运行不正常。"
                    )

+                await self._unbind_plugin(smd.name, smd.module_path)
+
            star_handlers_registry.clear()
            star_map.clear()
            star_registry.clear()
@@ -203,10 +208,17 @@ class PluginManager:
                    )

                await self._unbind_plugin(smd.name, specified_module_path)
-                try:
-                    del sys.modules[specified_module_path]
-                except KeyError:
-                    logger.warning(f"模块 {specified_module_path} 未载入")
+
+        return await self.load(specified_module_path)
+
+    async def load(self, specified_module_path=None, specified_dir_name=None):
+        """载入插件。
+        当 specified_module_path 或者 specified_dir_name 不为 None 时，只载入指定的插件。
+        """
+        inactivated_plugins: list = sp.get("inactivated_plugins", [])
+        inactivated_llm_tools: list = sp.get("inactivated_llm_tools", [])
+
+        alter_cmd = sp.get("alter_cmd", {})

        plugin_modules = self._get_plugin_modules()
        if plugin_modules is None:
@@ -214,11 +226,6 @@ class PluginManager:

        fail_rec = ""

-        inactivated_plugins: list = sp.get("inactivated_plugins", [])
-        inactivated_llm_tools: list = sp.get("inactivated_llm_tools", [])
-
-        alter_cmd = sp.get("alter_cmd", {})
-
        # 导入插件模块，并尝试实例化插件类
        for plugin_module in plugin_modules:
            try:
@@ -232,8 +239,11 @@ class PluginManager:
                path = "data.plugins." if not reserved else "packages."
                path += root_dir_name + "." + module_str

+                # 检查是否需要载入指定的插件
                if specified_module_path and path != specified_module_path:
                    continue
+                if specified_dir_name and root_dir_name != specified_dir_name:
+                    continue

                logger.info(f"正在载入插件 {root_dir_name} ...")

@@ -287,18 +297,24 @@ class PluginManager:
                    except Exception:
                        pass

-                    if plugin_config:
-                        metadata.config = plugin_config
-                        try:
-                            metadata.star_cls = metadata.star_cls_type(
-                                context=self.context, config=plugin_config
-                            )
-                        except TypeError as _:
+                    if path not in inactivated_plugins:
+                        # 只有没有禁用插件时才实例化插件类
+                        if plugin_config:
+                            metadata.config = plugin_config
+                            try:
+                                metadata.star_cls = metadata.star_cls_type(
+                                    context=self.context, config=plugin_config
+                                )
+                            except TypeError as _:
+                                metadata.star_cls = metadata.star_cls_type(
+                                    context=self.context
+                                )
+                        else:
                            metadata.star_cls = metadata.star_cls_type(
                                context=self.context
                            )
                    else:
-                        metadata.star_cls = metadata.star_cls_type(context=self.context)
+                        logger.info(f"插件 {metadata.name} 已被禁用。")

                    metadata.module = module
                    metadata.root_dir_name = root_dir_name
@@ -316,7 +332,10 @@ class PluginManager:
                        )
                    # 绑定 llm_tool handler
                    for func_tool in llm_tools.func_list:
-                        if func_tool.handler.__module__ == metadata.module_path:
+                        if (
+                            func_tool.handler
+                            and func_tool.handler.__module__ == metadata.module_path
+                        ):
                            func_tool.handler_module_path = metadata.module_path
                            func_tool.handler = functools.partial(
                                func_tool.handler, metadata.star_cls
@@ -331,19 +350,23 @@ class PluginManager:
                    )
                    classes = self._get_classes(module)

-                    if plugin_config:
-                        try:
-                            obj = getattr(module, classes[0])(
-                                context=self.context, config=plugin_config
-                            )  # 实例化插件类
-                        except TypeError as _:
+                    if path not in inactivated_plugins:
+                        # 只有没有禁用插件时才实例化插件类
+                        if plugin_config:
+                            try:
+                                obj = getattr(module, classes[0])(
+                                    context=self.context, config=plugin_config
+                                )  # 实例化插件类
+                            except TypeError as _:
+                                obj = getattr(module, classes[0])(
+                                    context=self.context
+                                )  # 实例化插件类
+                        else:
                            obj = getattr(module, classes[0])(
                                context=self.context
                            )  # 实例化插件类
                    else:
-                        obj = getattr(module, classes[0])(
-                            context=self.context
-                        )  # 实例化插件类
+                        logger.info(f"插件 {metadata.name} 已被禁用。")

                    metadata = None
                    metadata = self._load_plugin_metadata(
@@ -426,8 +449,36 @@ class PluginManager:
    async def install_plugin(self, repo_url: str, proxy=""):
        plugin_path = await self.updator.install(repo_url, proxy)
        # reload the plugin
-        await self.reload()
-        return plugin_path
+        dir_name = os.path.basename(plugin_path)
+        await self.load(specified_dir_name=dir_name)
+
+        # Get the plugin metadata to return repo info
+        plugin = self.context.get_registered_star(dir_name)
+        if not plugin:
+            # Try to find by other name if directory name doesn't match plugin name
+            for star in self.context.get_all_stars():
+                if star.root_dir_name == dir_name:
+                    plugin = star
+                    break
+
+        # Extract README.md content if exists
+        readme_content = None
+        readme_path = os.path.join(plugin_path, "README.md")
+        if not os.path.exists(readme_path):
+            readme_path = os.path.join(plugin_path, "readme.md")
+
+        if os.path.exists(readme_path):
+            try:
+                with open(readme_path, "r", encoding="utf-8") as f:
+                    readme_content = f.read()
+            except Exception as e:
+                logger.warning(f"读取插件 {dir_name} 的 README.md 文件失败: {str(e)}")
+
+        plugin_info = None
+        if plugin:
+            plugin_info = {"repo": plugin.repo, "readme": readme_content}
+
+        return plugin_info

    async def uninstall_plugin(self, plugin_name: str):
        plugin = self.context.get_registered_star(plugin_name)
@@ -450,9 +501,11 @@ class PluginManager:
        # 从 star_registry 和 star_map 中删除
        await self._unbind_plugin(plugin_name, plugin.module_path)

-        if not remove_dir(os.path.join(ppath, root_dir_name)):
+        try:
+            remove_dir(os.path.join(ppath, root_dir_name))
+        except Exception as e:
            raise Exception(
-                "移除插件成功，但是删除插件文件夹失败。您可以手动删除该文件夹，位于 addons/plugins/ 下。"
+                f"移除插件成功，但是删除插件文件夹失败: {str(e)}。您可以手动删除该文件夹，位于 addons/plugins/ 下。"
            )

    async def _unbind_plugin(self, plugin_name: str, plugin_module_path: str):
@@ -464,7 +517,9 @@ class PluginManager:
        for handler in star_handlers_registry.get_handlers_by_module_name(
            plugin_module_path
        ):
-            logger.debug(f"unbind handler {handler.handler_name} from {plugin_name}")
+            logger.info(
+                f"移除了插件 {plugin_name} 的处理函数 {handler.handler_name} ({len(star_handlers_registry)})"
+            )
            star_handlers_registry.remove(handler)
        keys_to_delete = [
            k
@@ -472,9 +527,15 @@ class PluginManager:
            if k.startswith(plugin_module_path)
        ]
        for k in keys_to_delete:
-            v = star_handlers_registry.star_handlers_map[k]
-            logger.debug(f"unbind handler {v.handler_name} from {plugin_name} (map)")
-            del star_handlers_registry.star_handlers_map[k]
+            try:
+                del star_handlers_registry.star_handlers_map[k]
+            except KeyError:
+                pass
+
+        try:
+            del sys.modules[plugin_module_path]
+        except KeyError:
+            logger.warning(f"模块 {plugin_module_path} 未载入")

    async def update_plugin(self, plugin_name: str, proxy=""):
        """升级一个插件"""
@@ -485,7 +546,7 @@ class PluginManager:
            raise Exception("该插件是 AstrBot 保留插件，无法更新。")

        await self.updator.update(plugin, proxy=proxy)
-        await self.reload()
+        await self.reload(plugin_name)

    async def turn_off_plugin(self, plugin_name: str):
        """
@@ -524,11 +585,18 @@ class PluginManager:

    async def _terminate_plugin(self, star_metadata: StarMetadata):
        """终止插件，调用插件的 terminate() 和 __del__() 方法"""
-        logging.info(f"正在终止插件 {star_metadata.name} ...")
+        logger.info(f"正在终止插件 {star_metadata.name} ...")
+
+        if not star_metadata.activated:
+            # 说明之前已经被禁用了
+            logger.debug(f"插件 {star_metadata.name} 未被激活，不需要终止，跳过。")
+            return

        if hasattr(star_metadata.star_cls, "__del__"):
-            asyncio.get_event_loop().run_in_executor(star_metadata.star_cls.__del__)
-        else:
+            asyncio.get_event_loop().run_in_executor(
+                None, star_metadata.star_cls.__del__
+            )
+        elif hasattr(star_metadata.star_cls, "terminate"):
            await star_metadata.star_cls.terminate()

    async def turn_on_plugin(self, plugin_name: str):
@@ -541,12 +609,17 @@ class PluginManager:

        # 启用插件启用的 llm_tool
        for func_tool in llm_tools.func_list:
-            if func_tool.handler_module_path == plugin.module_path:
+            if (
+                func_tool.handler_module_path == plugin.module_path
+                and func_tool.name in inactivated_llm_tools
+            ):
                inactivated_llm_tools.remove(func_tool.name)
                func_tool.active = True
        sp.put("inactivated_llm_tools", inactivated_llm_tools)

-        plugin.activated = True
+        await self.reload(plugin_name)
+
+        # plugin.activated = True

    async def install_plugin_from_file(self, zip_file_path: str):
        dir_name = os.path.basename(zip_file_path).replace(".zip", "")
@@ -559,4 +632,33 @@ class PluginManager:
            os.remove(zip_file_path)
        except BaseException as e:
            logger.warning(f"删除插件压缩包失败: {str(e)}")
-        await self.reload()
+        # await self.reload()
+        await self.load(specified_dir_name=dir_name)
+
+        # Get the plugin metadata to return repo info
+        plugin = self.context.get_registered_star(dir_name)
+        if not plugin:
+            # Try to find by other name if directory name doesn't match plugin name
+            for star in self.context.get_all_stars():
+                if star.root_dir_name == dir_name:
+                    plugin = star
+                    break
+
+        # Extract README.md content if exists
+        readme_content = None
+        readme_path = os.path.join(desti_dir, "README.md")
+        if not os.path.exists(readme_path):
+            readme_path = os.path.join(desti_dir, "readme.md")
+
+        if os.path.exists(readme_path):
+            try:
+                with open(readme_path, "r", encoding="utf-8") as f:
+                    readme_content = f.read()
+            except Exception as e:
+                logger.warning(f"读取插件 {dir_name} 的 README.md 文件失败: {str(e)}")
+
+        plugin_info = None
+        if plugin:
+            plugin_info = {"repo": plugin.repo, "readme": readme_content}
+
+        return plugin_info
@@ -0,0 +1,144 @@
+from typing import Union, Awaitable, List, Optional, ClassVar
+from astrbot.core.message.components import BaseMessageComponent
+from astrbot.core.message.message_event_result import MessageChain
+from astrbot.api.platform import MessageMember, AstrBotMessage
+from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.core.star.context import Context
+
+
+class StarTools:
+    """
+    提供给插件使用的便捷工具函数集合
+    这些方法封装了一些常用操作，使插件开发更加简单便捷!
+    """
+
+    _context: ClassVar[Optional[Context]] = None
+
+    @classmethod
+    def initialize(cls, context: Context) -> None:
+        """
+        初始化StarTools，设置context引用
+
+        Args:
+            context: 暴露给插件的上下文
+        """
+        cls._context = context
+
+    @classmethod
+    async def send_message(
+        cls, session: Union[str, MessageSesion], message_chain: MessageChain
+    ) -> bool:
+        """
+        根据session(unified_msg_origin)主动发送消息
+
+        Args:
+            session: 消息会话。通过event.session或者event.unified_msg_origin获取
+            message_chain: 消息链
+
+        Returns:
+            bool: 是否找到匹配的平台
+
+        Raises:
+            ValueError: 当session为字符串且解析失败时抛出
+
+        Note:
+            qq_official(QQ官方API平台)不支持此方法
+        """
+        return await cls._context.send_message(session, message_chain)
+
+    @classmethod
+    async def create_message(
+        cls,
+        type: str,
+        self_id: str,
+        session_id: str,
+        message_id: str,
+        sender: MessageMember,
+        message: List[BaseMessageComponent],
+        message_str: str,
+        raw_message: object,
+        group_id: str = "",
+    ):
+        """
+        创建一个AstrBot消息对象
+
+        Args:
+            type (str): 消息类型
+            self_id (str): 机器人自身ID
+            session_id (str): 会话ID(通常为用户ID)(QQ号, 群号等)
+            message_id (str): 消息ID
+            sender (MessageMember): 发送者信息
+            message (List[BaseMessageComponent]): 消息组件列表
+            message_str (str): 消息字符串
+            raw_message (object): 原始消息对象
+            group_id (str, optional): 群组ID, 如果为私聊则为空. Defaults to "".
+
+        Returns:
+            AstrBotMessage: 创建的消息对象
+        """
+        abm = AstrBotMessage()
+        abm.type = type
+        abm.self_id = self_id
+        abm.session_id = session_id
+        abm.message_id = message_id
+        abm.sender = sender
+        abm.message = message
+        abm.message_str = message_str
+        abm.raw_message = raw_message
+        abm.group_id = group_id
+        return abm
+
+    # todo: 添加构造事件的方法
+    # async def create_event(
+    #     self, platform: str, umo: str, sender_id: str, session_id: str
+    # ):
+    #     platform = self._context.get_platform(platform)
+
+    # todo: 添加找到对应平台并提交对应事件的方法
+
+    @classmethod
+    def activate_llm_tool(cls, name: str) -> bool:
+        """
+        激活一个已经注册的函数调用工具
+        注册的工具默认是激活状态
+
+        Args:
+            name (str): 工具名称
+        """
+        return cls._context.activate_llm_tool(name)
+
+    @classmethod
+    def deactivate_llm_tool(cls, name: str) -> bool:
+        """
+        停用一个已经注册的函数调用工具
+
+        Args:
+            name (str): 工具名称
+        """
+        return cls._context.deactivate_llm_tool(name)
+
+    @classmethod
+    def register_llm_tool(
+        cls, name: str, func_args: list, desc: str, func_obj: Awaitable
+    ) -> None:
+        """
+        为函数调用（function-calling/tools-use）添加工具
+
+        Args:
+            name (str): 工具名称
+            func_args (list): 函数参数列表
+            desc (str): 工具描述
+            func_obj (Awaitable): 函数对象，必须是异步函数
+        """
+        cls._context.register_llm_tool(name, func_args, desc, func_obj)
+
+    @classmethod
+    def unregister_llm_tool(cls, name: str) -> None:
+        """
+        删除一个函数调用工具
+        如果再要启用，需要重新注册
+
+        Args:
+            name (str): 工具名称
+        """
+        cls._context.unregister_llm_tool(name)
@@ -41,7 +41,7 @@ class PluginUpdator(RepoZipUpdator):
        plugin_path = os.path.join(self.plugin_store_path, plugin.root_dir_name)

        logger.info(f"正在更新插件，路径: {plugin_path}，仓库地址: {repo_url}")
-        await self.download_from_repo_url(plugin_path, repo_url)
+        await self.download_from_repo_url(plugin_path, repo_url, proxy=proxy)

        try:
            remove_dir(plugin_path)
@@ -9,6 +9,11 @@ from astrbot.core.utils.io import download_file


 class AstrBotUpdator(RepoZipUpdator):
+    """AstrBot 更新器，继承自 RepoZipUpdator 类
+    该类用于处理 AstrBot 的更新操作
+    功能包括检查更新、下载更新文件、解压缩更新文件等
+    """
+
    def __init__(self, repo_mirror: str = "") -> None:
        super().__init__(repo_mirror)
        self.MAIN_PATH = os.path.abspath(
@@ -17,6 +22,9 @@ class AstrBotUpdator(RepoZipUpdator):
        self.ASTRBOT_RELEASE_API = "https://api.soulter.top/releases"

    def terminate_child_processes(self):
+        """终止当前进程的所有子进程
+        使用 psutil 库获取当前进程的所有子进程，并尝试终止它们
+        """
        try:
            parent = psutil.Process(os.getpid())
            children = parent.children(recursive=True)
@@ -35,6 +43,9 @@ class AstrBotUpdator(RepoZipUpdator):
            pass

    def _reboot(self, delay: int = 3):
+        """重启当前程序
+        在指定的延迟后，终止所有子进程并重新启动程序
+        """
        py = sys.executable
        time.sleep(delay)
        self.terminate_child_processes()
@@ -46,6 +57,7 @@ class AstrBotUpdator(RepoZipUpdator):
            raise e

    async def check_update(self, url: str, current_version: str) -> ReleaseInfo:
+        """检查更新"""
        return await super().check_update(self.ASTRBOT_RELEASE_API, VERSION)

    async def get_releases(self) -> list:
@@ -8,7 +8,7 @@ class DifyAPIClient:
    def __init__(self, api_key: str, api_base: str = "https://api.dify.ai/v1"):
        self.api_key = api_key
        self.api_base = api_base
-        self.session = ClientSession()
+        self.session = ClientSession(trust_env=True)
        self.headers = {
            "Authorization": f"Bearer {self.api_key}",
        }
@@ -8,6 +8,9 @@ import base64
 import zipfile
 import uuid
 import psutil
+
+import certifi
+
 from typing import Union

 from PIL import Image
@@ -17,24 +20,20 @@ def on_error(func, path, exc_info):
    """
    a callback of the rmtree function.
    """
-    print(f"remove {path} failed.")
    import stat

    if not os.access(path, os.W_OK):
        os.chmod(path, stat.S_IWUSR)
        func(path)
    else:
-        raise
+        raise exc_info[1]


 def remove_dir(file_path) -> bool:
    if not os.path.exists(file_path):
        return True
-    try:
-        shutil.rmtree(file_path, onerror=on_error)
-        return True
-    except BaseException:
-        return False
+    shutil.rmtree(file_path, onerror=on_error)
+    return True


 def port_checker(port: int, host: str = "localhost"):
@@ -81,7 +80,13 @@ async def download_image_by_url(
    下载图片, 返回 path
    """
    try:
-        async with aiohttp.ClientSession(trust_env=True) as session:
+        ssl_context = ssl.create_default_context(
+            cafile=certifi.where()
+        )  # 使用 certifi 提供的 CA 证书
+        connector = aiohttp.TCPConnector(ssl=ssl_context)  # 使用 certifi 的根证书
+        async with aiohttp.ClientSession(
+            trust_env=True, connector=connector
+        ) as session:
            if post:
                async with session.post(url, json=post_data) as resp:
                    if not path:
@@ -98,7 +103,7 @@ async def download_image_by_url(
                        with open(path, "wb") as f:
                            f.write(await resp.read())
                        return path
-    except aiohttp.client.ClientConnectorSSLError:
+    except (aiohttp.ClientConnectorSSLError, aiohttp.ClientConnectorCertificateError):
        # 关闭SSL验证
        ssl_context = ssl.create_default_context()
        ssl_context.set_ciphers("DEFAULT")
@@ -118,7 +123,13 @@ async def download_file(url: str, path: str, show_progress: bool = False):
    从指定 url 下载文件到指定路径 path
    """
    try:
-        async with aiohttp.ClientSession(trust_env=True) as session:
+        ssl_context = ssl.create_default_context(
+            cafile=certifi.where()
+        )  # 使用 certifi 提供的 CA 证书
+        connector = aiohttp.TCPConnector(ssl=ssl_context)
+        async with aiohttp.ClientSession(
+            trust_env=True, connector=connector
+        ) as session:
            async with session.get(url, timeout=1800) as resp:
                if resp.status != 200:
                    raise Exception(f"下载文件失败: {resp.status}")
@@ -141,7 +152,7 @@ async def download_file(url: str, path: str, show_progress: bool = False):
                                f"\r下载进度: {downloaded_size / total_size:.2%} 速度: {speed:.2f} KB/s",
                                end="",
                            )
-    except aiohttp.client.ClientConnectorSSLError:
+    except (aiohttp.ClientConnectorSSLError, aiohttp.ClientConnectorCertificateError):
        # 关闭SSL验证
        ssl_context = ssl.create_default_context()
        ssl_context.set_ciphers("DEFAULT")
@@ -0,0 +1,198 @@
+"""
+会话控制
+"""
+
+import abc
+import asyncio
+import time
+import functools
+import copy
+import astrbot.core.message.components as Comp
+from typing import Dict, Any, Callable, Awaitable, List
+from astrbot.core.platform import AstrMessageEvent
+
+USER_SESSIONS: Dict[str, "SessionWaiter"] = {}  # 存储 SessionWaiter 实例
+FILTERS: List["SessionFilter"] = []  # 存储 SessionFilter 实例
+
+
+class SessionController:
+    """
+    控制一个 Session 是否已经结束
+    """
+
+    def __init__(self):
+        self.future = asyncio.Future()
+        self.current_event: asyncio.Event = None
+        """当前正在等待的所用的异步事件"""
+        self.ts: float = None
+        """上次保持(keep)开始时的时间"""
+        self.timeout: float | int = None
+        """上次保持(keep)开始时的超时时间"""
+
+        self.history_chains: List[List[Comp.BaseMessageComponent]] = []
+
+    def stop(self, error: Exception = None):
+        """立即结束这个会话"""
+        if not self.future.done():
+            if error:
+                self.future.set_exception(error)
+            else:
+                self.future.set_result(None)
+
+    def keep(self, timeout: float | int = 0, reset_timeout=False):
+        """保持这个会话
+
+        Args:
+            timeout (float): 必填。会话超时时间。
+            当 reset_timeout 设置为 True 时, 代表重置超时时间, timeout 必须 > 0, 如果 <= 0 则立即结束会话。
+            当 reset_timeout 设置为 False 时, 代表继续维持原来的超时时间, 新 timeout = 原来剩余的timeout + timeout (可以 < 0)
+        """
+        new_ts = time.time()
+
+        if reset_timeout:
+            if timeout <= 0:
+                self.stop()
+                return
+        else:
+            left_timeout = self.timeout - (new_ts - self.ts)
+            timeout = left_timeout + timeout
+            if timeout <= 0:
+                self.stop()
+                return
+
+        if self.current_event and not self.current_event.is_set():
+            self.current_event.set()  # 通知上一个 keep 结束
+
+        new_event = asyncio.Event()
+        self.ts = new_ts
+        self.current_event = new_event
+        self.timeout = timeout
+
+        asyncio.create_task(self._holding(new_event, timeout))  # 开始新的 keep
+
+    async def _holding(self, event: asyncio.Event, timeout: int):
+        """等待事件结束或超时"""
+        try:
+            await asyncio.wait_for(event.wait(), timeout)
+        except asyncio.TimeoutError:
+            if not self.future.done():
+                self.future.set_exception(TimeoutError("等待超时"))
+        except asyncio.CancelledError:
+            pass  # 避免报错
+        # finally:
+
+    def get_history_chains(self) -> List[List[Comp.BaseMessageComponent]]:
+        """获取历史消息链"""
+        return self.history_chains
+
+
+class SessionFilter:
+    """如何界定一个会话"""
+
+    @abc.abstractmethod
+    def filter(self, event: AstrMessageEvent) -> str:
+        """根据事件返回一个会话标识符"""
+        pass
+
+
+class DefaultSessionFilter(SessionFilter):
+    def filter(self, event: AstrMessageEvent) -> str:
+        """默认实现，返回发送者的 ID 作为会话标识符"""
+        return event.get_sender_id()
+
+
+class SessionWaiter:
+    def __init__(
+        self,
+        session_filter: SessionFilter,
+        session_id: str,
+        record_history_chains: bool,
+    ):
+        self.session_id = session_id
+        self.session_filter = session_filter
+        self.handler: Callable[[str], Awaitable[Any]] | None = None  # 处理函数
+
+        self.session_controller = SessionController()
+        self.record_history_chains = record_history_chains
+        """是否记录历史消息链"""
+
+        self._lock = asyncio.Lock()
+        """需要保证一个 session 同时只有一个 trigger"""
+
+    async def register_wait(
+        self, handler: Callable[[str], Awaitable[Any]], timeout: int = 30
+    ) -> Any:
+        """等待外部输入并处理"""
+        self.handler = handler
+        USER_SESSIONS[self.session_id] = self
+
+        # 开始一个会话保持事件
+        self.session_controller.keep(timeout, reset_timeout=True)
+
+        try:
+            return await self.session_controller.future
+        except Exception as e:
+            self._cleanup(e)
+            raise e
+        finally:
+            self._cleanup()
+
+    def _cleanup(self, error: Exception = None):
+        """清理会话"""
+        USER_SESSIONS.pop(self.session_id, None)
+        try:
+            FILTERS.remove(self.session_filter)
+        except ValueError:
+            pass
+        self.session_controller.stop(error)
+
+    @classmethod
+    async def trigger(cls, session_id: str, event: AstrMessageEvent):
+        """外部输入触发会话处理"""
+        session = USER_SESSIONS.get(session_id, None)
+        if not session or session.session_controller.future.done():
+            return
+
+        async with session._lock:
+            if not session.session_controller.future.done():
+                if session.record_history_chains:
+                    session.session_controller.history_chains.append(
+                        [copy.deepcopy(comp) for comp in event.get_messages()]
+                    )
+                try:
+                    # TODO: 这里使用 create_task，跟踪 task，防止超时后这里 handler 仍然在执行
+                    await session.handler(session.session_controller, event)
+                except Exception as e:
+                    session.session_controller.stop(e)
+
+
+def session_waiter(timeout: int = 30, record_history_chains: bool = False):
+    """
+    装饰器：自动将函数注册为 SessionWaiter 处理函数，并等待外部输入触发执行。
+
+    :param timeout: 超时时间（秒）
+    :param record_history_chain: 是否自动记录历史消息链。可以通过 controller.get_history_chains() 获取。深拷贝。
+    """
+
+    def decorator(func: Callable[[str], Awaitable[Any]]):
+        @functools.wraps(func)
+        async def wrapper(
+            event: AstrMessageEvent,
+            session_filter: SessionFilter = None,
+            *args,
+            **kwargs,
+        ):
+            if not session_filter:
+                session_filter = DefaultSessionFilter()
+            if not isinstance(session_filter, SessionFilter):
+                raise ValueError("session_filter 必须是 SessionFilter")
+
+            session_id = session_filter.filter(event)
+            FILTERS.append(session_filter)
+
+            waiter = SessionWaiter(session_filter, session_id, record_history_chains)
+            return await waiter.register_wait(func, timeout)
+
+        return wrapper
+
+    return decorator
@@ -16,6 +16,7 @@ class SharedPreferences:
    def _save_preferences(self):
        with open(self.path, "w") as f:
            json.dump(self._data, f, indent=4)
+            f.flush()

    def get(self, key, default=None):
        return self._data.get(key, default)
@@ -1,5 +1,7 @@
 import aiohttp
 import os
+import ssl
+import certifi

 from . import RenderStrategy
 from astrbot.core.config import VERSION
@@ -46,7 +48,11 @@ class NetworkRenderStrategy(RenderStrategy):
            },
        }
        if return_url:
-            async with aiohttp.ClientSession(trust_env=True) as session:
+            ssl_context = ssl.create_default_context(cafile=certifi.where())
+            connector = aiohttp.TCPConnector(ssl=ssl_context)
+            async with aiohttp.ClientSession(
+                trust_env=True, connector=connector
+            ) as session:
                async with session.post(
                    f"{self.BASE_RENDER_URL}/generate", json=post_data
                ) as resp:
@@ -2,6 +2,10 @@ import aiohttp
 import os
 import zipfile
 import shutil
+
+import ssl
+import certifi
+
 from astrbot.core.utils.io import on_error, download_file
 from astrbot.core import logger

@@ -19,7 +23,7 @@ class ReleaseInfo:
        self.body = body

    def __str__(self) -> str:
-        return f"新版本: {self.version}, 发布于: {self.published_at}, 详细内容: {self.body}"
+        return f"\n{self.body}\n\n版本: {self.version} | 发布于: {self.published_at}"


 class RepoZipUpdator:
@@ -33,8 +37,23 @@ class RepoZipUpdator:
        返回一个列表，每个元素是一个字典，包含版本号、发布时间、更新内容、commit hash等信息。
        """
        try:
-            async with aiohttp.ClientSession(trust_env=True) as session:
+            ssl_context = ssl.create_default_context(
+                cafile=certifi.where()
+            )  # 新增：创建基于 certifi 的 SSL 上下文
+            connector = aiohttp.TCPConnector(
+                ssl=ssl_context
+            )  # 新增：使用 TCPConnector 指定 SSL 上下文
+            async with aiohttp.ClientSession(
+                trust_env=True, connector=connector
+            ) as session:
                async with session.get(url) as response:
+                    # 检查 HTTP 状态码
+                    if response.status != 200:
+                        text = await response.text()
+                        logger.error(
+                            f"请求 {url} 失败，状态码: {response.status}, 内容: {text}"
+                        )
+                        raise Exception(f"请求失败，状态码: {response.status}")
                    result = await response.json()
            if not result:
                return []
@@ -53,7 +72,8 @@ class RepoZipUpdator:
                        "zipball_url": release["zipball_url"],
                    }
                )
-        except BaseException:
+        except Exception as e:
+            logger.error(f"解析版本信息时发生异常: {e}")
            raise Exception("解析版本信息失败")
        return ret

@@ -1,3 +0,0 @@
-from .dashboard_lifecycle import AstrBotDashBoardLifecycle
-
-__all__ = ["AstrBotDashBoardLifecycle"]
@@ -6,6 +6,8 @@ from .stat import StatRoute
 from .log import LogRoute
 from .static_file import StaticFileRoute
 from .chat import ChatRoute
+from .tools import ToolsRoute  # 导入新的ToolsRoute
+from .conversation import ConversationRoute


 __all__ = [
@@ -17,4 +19,6 @@ __all__ = [
    "LogRoute",
    "StaticFileRoute",
    "ChatRoute",
+    "ToolsRoute",  # 添加新的ToolsRoute
+    "ConversationRoute",
 ]
@@ -2,7 +2,8 @@ import jwt
 import datetime
 from .route import Route, Response, RouteContext
 from quart import request
-from astrbot.core import WEBUI_SK
+from astrbot.core import WEBUI_SK, DEMO_MODE
+from astrbot import logger


 class AuthRoute(Route):
@@ -19,15 +20,33 @@ class AuthRoute(Route):
        password = self.config["dashboard"]["password"]
        post_data = await request.json
        if post_data["username"] == username and post_data["password"] == password:
+            change_pwd_hint = False
+            if username == "astrbot" and password == "77b90590a8945a7d36c963981a307dc9":
+                change_pwd_hint = True
+                logger.warning("为了保证安全，请尽快修改默认密码。")
+
            return (
                Response()
-                .ok({"token": self.generate_jwt(username), "username": username})
+                .ok(
+                    {
+                        "token": self.generate_jwt(username),
+                        "username": username,
+                        "change_pwd_hint": change_pwd_hint,
+                    }
+                )
                .__dict__
            )
        else:
            return Response().error("用户名或密码错误").__dict__

    async def edit_account(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
        password = self.config["dashboard"]["password"]
        post_data = await request.json

@@ -12,8 +12,11 @@ from astrbot.core import logger


 def try_cast(value: str, type_: str):
-    if type_ == "int" and value.isdigit():
-        return int(value)
+    if type_ == "int":
+        try:
+            return int(value)
+        except (ValueError, TypeError):
+            return None
    elif (
        type_ == "float"
        and isinstance(value, str)
@@ -22,6 +25,11 @@ def try_cast(value: str, type_: str):
        return float(value)
    elif type_ == "float" and isinstance(value, int):
        return float(value)
+    elif type_ == "float":
+        try:
+            return float(value)
+        except (ValueError, TypeError):
+            return None


 def validate_config(
@@ -29,17 +37,46 @@ def validate_config(
 ) -> typing.Tuple[typing.List[str], typing.Dict]:
    errors = []

-    def validate(data, metadata=schema, path=""):
-        for key, meta in metadata.items():
-            if key not in data:
+    def validate(data: dict, metadata: dict = schema, path=""):
+        for key, value in data.items():
+            if key not in metadata:
+                # 无 schema 的配置项，执行类型猜测
+                if isinstance(value, str):
+                    try:
+                        data[key] = int(value)
+                        continue
+                    except ValueError:
+                        pass
+
+                    try:
+                        data[key] = float(value)
+                        continue
+                    except ValueError:
+                        pass
+
+                    if value.lower() == "true":
+                        data[key] = True
+                    elif value.lower() == "false":
+                        data[key] = False
                continue
-            value = data[key]
+            meta = metadata[key]
            # null 转换
            if value is None:
                data[key] = DEFAULT_VALUE_MAP[meta["type"]]
                continue
            # 递归验证
-            if meta["type"] == "list" and isinstance(value, list):
+            if meta["type"] == "list" and not isinstance(value, list):
+                errors.append(
+                    f"错误的类型 {path}{key}: 期望是 list, 得到了 {type(value).__name__}"
+                )
+            elif (
+                meta["type"] == "list"
+                and isinstance(value, list)
+                and value
+                and "items" in meta
+                and isinstance(value[0], dict)
+            ):
+                # 当前仅针对 list[dict] 的情况进行类型校验，以适配 AstrBot 中 platform、provider 的配置
                for item in value:
                    validate(item, meta["items"], path=f"{path}{key}.")
            elif meta["type"] == "object" and isinstance(value, dict):
@@ -75,7 +112,6 @@ def validate_config(
                errors.append(
                    f"错误的类型 {path}{key}: 期望是 dict, 得到了 {type(value).__name__}"
                )
-                validate(value, meta["items"], path=f"{path}{key}.")

    if is_core:
        for key, group in schema.items():
@@ -103,6 +139,7 @@ def save_config(post_config: dict, config: AstrBotConfig, is_core: bool = False)
    except BaseException as e:
        logger.error(traceback.format_exc())
        logger.warning(f"验证配置时出现异常: {e}")
+        raise ValueError(f"验证配置时出现异常: {e}")
    if errors:
        raise ValueError(f"格式校验未通过: {errors}")
    config.save_config(post_config)
@@ -124,6 +161,7 @@ class ConfigRoute(Route):
            "/config/provider/new": ("POST", self.post_new_provider),
            "/config/provider/update": ("POST", self.post_update_provider),
            "/config/provider/delete": ("POST", self.post_delete_provider),
+            "/config/llmtools": ("GET", self.get_llm_tools),
        }
        self.register_routes()

@@ -149,9 +187,10 @@ class ConfigRoute(Route):
        plugin_name = request.args.get("plugin_name", "unknown")
        try:
            await self._save_plugin_configs(post_configs, plugin_name)
+            await self.core_lifecycle.plugin_manager.reload(plugin_name)
            return (
                Response()
-                .ok(None, f"保存插件 {plugin_name} 成功~ 机器人正在重载配置。")
+                .ok(None, f"保存插件 {plugin_name} 成功~ 机器人正在热重载插件。")
                .__dict__
            )
        except Exception as e:
@@ -196,7 +235,8 @@ class ConfigRoute(Route):
            return Response().error("未找到对应平台").__dict__

        try:
-            await self._save_astrbot_configs(self.config)
+            save_config(self.config, self.config, is_core=True)
+            await self.core_lifecycle.platform_manager.reload(new_config)
        except Exception as e:
            return Response().error(str(e)).__dict__
        return Response().ok(None, "更新平台配置成功~").__dict__
@@ -232,7 +272,8 @@ class ConfigRoute(Route):
        else:
            return Response().error("未找到对应平台").__dict__
        try:
-            await self._save_astrbot_configs(self.config)
+            save_config(self.config, self.config, is_core=True)
+            await self.core_lifecycle.platform_manager.terminate_platform(platform_id)
        except Exception as e:
            return Response().error(str(e)).__dict__
        return Response().ok(None, "删除平台配置成功~").__dict__
@@ -253,6 +294,12 @@ class ConfigRoute(Route):
            return Response().error(str(e)).__dict__
        return Response().ok(None, "删除成功，已经实时生效~").__dict__

+    async def get_llm_tools(self):
+        """获取函数调用工具。包含了本地加载的以及 MCP 服务的工具"""
+        tool_mgr = self.core_lifecycle.provider_manager.llm_tools
+        tools = tool_mgr.get_func_desc_openai_style()
+        return Response().ok(tools).__dict__
+
    async def _get_astrbot_config(self):
        config = self.config

@@ -298,7 +345,7 @@ class ConfigRoute(Route):
    async def _save_astrbot_configs(self, post_configs: dict):
        try:
            save_config(post_configs, self.config, is_core=True)
-            self.core_lifecycle.restart()
+            await self.core_lifecycle.restart()
        except Exception as e:
            raise e

@@ -315,6 +362,5 @@ class ConfigRoute(Route):

        try:
            save_config(post_configs, md.config)
-            self.core_lifecycle.restart()
        except Exception as e:
            raise e
@@ -0,0 +1,215 @@
+import traceback
+import json
+from .route import Route, Response, RouteContext
+from astrbot.core import logger
+from quart import request
+from astrbot.core.db import BaseDatabase
+from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
+
+
+class ConversationRoute(Route):
+    def __init__(
+        self,
+        context: RouteContext,
+        db_helper: BaseDatabase,
+        core_lifecycle: AstrBotCoreLifecycle,
+    ) -> None:
+        super().__init__(context)
+        self.routes = {
+            "/conversation/list": ("GET", self.list_conversations),
+            "/conversation/detail": (
+                "POST",
+                self.get_conv_detail,
+            ),
+            "/conversation/update": ("POST", self.upd_conv),
+            "/conversation/delete": ("POST", self.del_conv),
+            "/conversation/update_history": (
+                "POST",
+                self.update_history,
+            ),
+        }
+        self.db_helper = db_helper
+        self.register_routes()
+
+    async def list_conversations(self):
+        """获取对话列表，支持分页、排序和筛选"""
+        try:
+            # 获取分页参数
+            page = request.args.get("page", 1, type=int)
+            page_size = request.args.get("page_size", 20, type=int)
+
+            # 获取筛选参数
+            platforms = request.args.get("platforms", "")
+            message_types = request.args.get("message_types", "")
+            search_query = request.args.get("search", "")
+            exclude_ids = request.args.get("exclude_ids", "")
+            exclude_platforms = request.args.get("exclude_platforms", "")
+
+            # 转换为列表
+            platform_list = platforms.split(",") if platforms else []
+            message_type_list = message_types.split(",") if message_types else []
+            exclude_id_list = exclude_ids.split(",") if exclude_ids else []
+            exclude_platform_list = (
+                exclude_platforms.split(",") if exclude_platforms else []
+            )
+
+            # 限制页面大小，防止请求过大数据
+            if page < 1:
+                page = 1
+            if page_size < 1:
+                page_size = 20
+            if page_size > 100:
+                page_size = 100
+
+            # 使用数据库的分页方法获取会话列表和总数，传入筛选条件
+            try:
+                conversations, total_count = self.db_helper.get_filtered_conversations(
+                    page=page,
+                    page_size=page_size,
+                    platforms=platform_list,
+                    message_types=message_type_list,
+                    search_query=search_query,
+                    exclude_ids=exclude_id_list,
+                    exclude_platforms=exclude_platform_list,
+                )
+            except Exception as e:
+                logger.error(f"数据库查询出错: {str(e)}\n{traceback.format_exc()}")
+                return Response().error(f"数据库查询出错: {str(e)}").__dict__
+
+            # 计算总页数
+            total_pages = (
+                (total_count + page_size - 1) // page_size if total_count > 0 else 1
+            )
+
+            result = {
+                "conversations": conversations,
+                "pagination": {
+                    "page": page,
+                    "page_size": page_size,
+                    "total": total_count,
+                    "total_pages": total_pages,
+                },
+            }
+            return Response().ok(result).__dict__
+
+        except Exception as e:
+            error_msg = f"获取对话列表失败: {str(e)}\n{traceback.format_exc()}"
+            logger.error(error_msg)
+            return Response().error(f"获取对话列表失败: {str(e)}").__dict__
+
+    async def get_conv_detail(self):
+        """获取指定对话详情（通过POST请求）"""
+        try:
+            data = await request.get_json()
+            user_id = data.get("user_id")
+            cid = data.get("cid")
+
+            if not user_id or not cid:
+                return Response().error("缺少必要参数: user_id 和 cid").__dict__
+
+            conversation = self.db_helper.get_conversation_by_user_id(user_id, cid)
+            if not conversation:
+                return Response().error("对话不存在").__dict__
+
+            return (
+                Response()
+                .ok(
+                    {
+                        "user_id": user_id,
+                        "cid": cid,
+                        "title": conversation.title,
+                        "persona_id": conversation.persona_id,
+                        "history": conversation.history,
+                        "created_at": conversation.created_at,
+                        "updated_at": conversation.updated_at,
+                    }
+                )
+                .__dict__
+            )
+
+        except Exception as e:
+            logger.error(f"获取对话详情失败: {str(e)}\n{traceback.format_exc()}")
+            return Response().error(f"获取对话详情失败: {str(e)}").__dict__
+
+    async def upd_conv(self):
+        """更新对话信息(标题和角色ID)"""
+        try:
+            data = await request.get_json()
+            user_id = data.get("user_id")
+            cid = data.get("cid")
+            title = data.get("title")
+            persona_id = data.get("persona_id", "")
+
+            if not user_id or not cid:
+                return Response().error("缺少必要参数: user_id 和 cid").__dict__
+            conversation = self.db_helper.get_conversation_by_user_id(user_id, cid)
+            if not conversation:
+                return Response().error("对话不存在").__dict__
+            if title is not None:
+                self.db_helper.update_conversation_title(user_id, cid, title)
+            if persona_id is not None:
+                self.db_helper.update_conversation_persona_id(user_id, cid, persona_id)
+
+            return Response().ok({"message": "对话信息更新成功"}).__dict__
+
+        except Exception as e:
+            logger.error(f"更新对话信息失败: {str(e)}\n{traceback.format_exc()}")
+            return Response().error(f"更新对话信息失败: {str(e)}").__dict__
+
+    async def del_conv(self):
+        """删除对话"""
+        try:
+            data = await request.get_json()
+            user_id = data.get("user_id")
+            cid = data.get("cid")
+
+            if not user_id or not cid:
+                return Response().error("缺少必要参数: user_id 和 cid").__dict__
+            conversation = self.db_helper.get_conversation_by_user_id(user_id, cid)
+            if not conversation:
+                return Response().error("对话不存在").__dict__
+            self.db_helper.delete_conversation(user_id, cid)
+
+            return Response().ok({"message": "对话删除成功"}).__dict__
+
+        except Exception as e:
+            logger.error(f"删除对话失败: {str(e)}\n{traceback.format_exc()}")
+            return Response().error(f"删除对话失败: {str(e)}").__dict__
+
+    async def update_history(self):
+        """更新对话历史内容"""
+        try:
+            data = await request.get_json()
+            user_id = data.get("user_id")
+            cid = data.get("cid")
+            history = data.get("history")
+
+            if not user_id or not cid:
+                return Response().error("缺少必要参数: user_id 和 cid").__dict__
+
+            if history is None:
+                return Response().error("缺少必要参数: history").__dict__
+
+            # 历史记录必须是合法的 JSON 字符串
+            try:
+                if isinstance(history, list):
+                    history = json.dumps(history)
+                else:
+                    # 验证是否为有效的 JSON 字符串
+                    json.loads(history)
+            except json.JSONDecodeError:
+                return (
+                    Response().error("history 必须是有效的 JSON 字符串或数组").__dict__
+                )
+
+            conversation = self.db_helper.get_conversation_by_user_id(user_id, cid)
+            if not conversation:
+                return Response().error("对话不存在").__dict__
+
+            self.db_helper.update_conversation(user_id, cid, history)
+
+            return Response().ok({"message": "对话历史更新成功"}).__dict__
+
+        except Exception as e:
+            logger.error(f"更新对话历史失败: {str(e)}\n{traceback.format_exc()}")
+            return Response().error(f"更新对话历史失败: {str(e)}").__dict__
@@ -1,5 +1,6 @@
 import asyncio
-from quart import websocket
+import json
+from quart import make_response
 from astrbot.core import logger, LogBroker
 from .route import Route, RouteContext

@@ -8,21 +9,36 @@ class LogRoute(Route):
    def __init__(self, context: RouteContext, log_broker: LogBroker) -> None:
        super().__init__(context)
        self.log_broker = log_broker
-        self.app.add_url_rule(
-            "/api/live-log", view_func=self.log, methods=["GET"], websocket=True
-        )
+        self.app.add_url_rule("/api/live-log", view_func=self.log, methods=["GET"])

    async def log(self):
-        queue = None
-        try:
-            queue = self.log_broker.register()
-            while True:
-                message = await queue.get()
-                await websocket.send(message)
-        except asyncio.CancelledError:
-            pass
-        except BaseException as e:
-            logger.error(f"WebSocket 连接错误: {e}")
-        finally:
-            if queue:
-                self.log_broker.unregister(queue)
+        async def stream():
+            queue = None
+            try:
+                queue = self.log_broker.register()
+                while True:
+                    message = await queue.get()
+                    payload = {
+                        "type": "log",
+                        **message # see astrbot/core/log.py
+                    }
+                    yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
+            except asyncio.CancelledError:
+                pass
+            except BaseException as e:
+                logger.error(f"Log SSE 连接错误: {e}")
+            finally:
+                if queue:
+                    self.log_broker.unregister(queue)
+
+        response = await make_response(
+            stream(),
+            {
+                "Content-Type": "text/event-stream",
+                "Cache-Control": "no-cache",
+                "Connection": "keep-alive",
+                "Transfer-Encoding": "chunked",
+            },
+        )
+        response.timeout = None
+        return response
@@ -1,5 +1,9 @@
 import traceback
 import aiohttp
+
+import ssl
+import certifi
+
 from .route import Route, Response, RouteContext
 from astrbot.core import logger
 from quart import request
@@ -11,6 +15,7 @@ from astrbot.core.star.filter.command_group import CommandGroupFilter
 from astrbot.core.star.filter.permission import PermissionTypeFilter
 from astrbot.core.star.filter.regex import RegexFilter
 from astrbot.core.star.star_handler import EventType
+from astrbot.core import DEMO_MODE


 class PluginRoute(Route):
@@ -46,6 +51,13 @@ class PluginRoute(Route):
        }

    async def reload_plugins(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
        data = await request.json
        plugin_name = data.get("name", None)
        try:
@@ -65,9 +77,14 @@ class PluginRoute(Route):
        else:
            urls = ["https://api.soulter.top/astrbot/plugins"]

+        # 新增：创建 SSL 上下文，使用 certifi 提供的根证书
+        ssl_context = ssl.create_default_context(cafile=certifi.where())
+        connector = aiohttp.TCPConnector(ssl=ssl_context)
        for url in urls:
            try:
-                async with aiohttp.ClientSession(trust_env=True) as session:
+                async with aiohttp.ClientSession(
+                    trust_env=True, connector=connector
+                ) as session:
                    async with session.get(url) as response:
                        if response.status == 200:
                            result = await response.json()
@@ -178,6 +195,13 @@ class PluginRoute(Route):
        return handlers

    async def install_plugin(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
        post_data = await request.json
        repo_url = post_data["url"]

@@ -187,30 +211,44 @@ class PluginRoute(Route):

        try:
            logger.info(f"正在安装插件 {repo_url}")
-            await self.plugin_manager.install_plugin(repo_url, proxy)
-            self.core_lifecycle.restart()
+            plugin_info = await self.plugin_manager.install_plugin(repo_url, proxy)
+            # self.core_lifecycle.restart()
            logger.info(f"安装插件 {repo_url} 成功。")
-            return Response().ok(None, "安装成功。").__dict__
+            return Response().ok(plugin_info, "安装成功。").__dict__
        except Exception as e:
            logger.error(traceback.format_exc())
            return Response().error(str(e)).__dict__

    async def install_plugin_upload(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
        try:
            file = await request.files
            file = file["file"]
            logger.info(f"正在安装用户上传的插件 {file.filename}")
            file_path = f"data/temp/{file.filename}"
            await file.save(file_path)
-            await self.plugin_manager.install_plugin_from_file(file_path)
-            self.core_lifecycle.restart()
+            plugin_info = await self.plugin_manager.install_plugin_from_file(file_path)
+            # self.core_lifecycle.restart()
            logger.info(f"安装插件 {file.filename} 成功")
-            return Response().ok(None, "安装成功。").__dict__
+            return Response().ok(plugin_info, "安装成功。").__dict__
        except Exception as e:
            logger.error(traceback.format_exc())
            return Response().error(str(e)).__dict__

    async def uninstall_plugin(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
        post_data = await request.json
        plugin_name = post_data["name"]
        try:
@@ -223,13 +261,21 @@ class PluginRoute(Route):
            return Response().error(str(e)).__dict__

    async def update_plugin(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
        post_data = await request.json
        plugin_name = post_data["name"]
        proxy: str = post_data.get("proxy", None)
        try:
            logger.info(f"正在更新插件 {plugin_name}")
            await self.plugin_manager.update_plugin(plugin_name, proxy)
-            self.core_lifecycle.restart()
+            # self.core_lifecycle.restart()
+            await self.plugin_manager.reload(plugin_name)
            logger.info(f"更新插件 {plugin_name} 成功。")
            return Response().ok(None, "更新成功。").__dict__
        except Exception as e:
@@ -237,6 +283,13 @@ class PluginRoute(Route):
            return Response().error(str(e)).__dict__

    async def off_plugin(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
        post_data = await request.json
        plugin_name = post_data["name"]
        try:
@@ -248,6 +301,13 @@ class PluginRoute(Route):
            return Response().error(str(e)).__dict__

    async def on_plugin(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
        post_data = await request.json
        plugin_name = post_data["name"]
        try:
@@ -1,12 +1,14 @@
 import traceback
 import psutil
 import time
+import threading
 from .route import Route, Response, RouteContext
 from astrbot.core import logger
 from quart import request
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
 from astrbot.core.db import BaseDatabase
 from astrbot.core.config import VERSION
+from astrbot.core import DEMO_MODE


 class StatRoute(Route):
@@ -28,7 +30,14 @@ class StatRoute(Route):
        self.core_lifecycle = core_lifecycle

    async def restart_core(self):
-        self.core_lifecycle.restart()
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
+        await self.core_lifecycle.restart()
        return Response().ok().__dict__

    def format_sec(self, sec: int):
@@ -64,6 +73,20 @@ class StatRoute(Route):

            stat_dict = stat.__dict__

+            cpu_percent = psutil.cpu_percent(interval=0.5)
+            thread_count = threading.active_count()
+
+            # 获取插件信息
+            plugins = self.core_lifecycle.star_context.get_all_stars()
+            plugin_info = []
+            for plugin in plugins:
+                info = {
+                    "name": getattr(plugin, "name", plugin.__class__.__name__),
+                    "version": getattr(plugin, "version", "1.0.0"),
+                    "is_enabled": True,
+                }
+                plugin_info.append(info)
+
            stat_dict.update(
                {
                    "platform": self.db_helper.get_grouped_base_stats(
@@ -73,9 +96,8 @@ class StatRoute(Route):
                    "platform_count": len(
                        self.core_lifecycle.platform_manager.get_insts()
                    ),
-                    "plugin_count": len(
-                        self.core_lifecycle.star_context.get_all_stars()
-                    ),
+                    "plugin_count": len(plugins),
+                    "plugins": plugin_info,
                    "message_time_series": message_time_based_stats,
                    "running": self.format_sec(
                        int(time.time()) - self.core_lifecycle.start_time
@@ -84,6 +106,9 @@ class StatRoute(Route):
                        "process": psutil.Process().memory_info().rss >> 20,
                        "system": psutil.virtual_memory().total >> 20,
                    },
+                    "cpu_percent": round(cpu_percent, 1),
+                    "thread_count": thread_count,
+                    "start_time": self.core_lifecycle.start_time,
                }
            )

--- a/Show More
+++ b/Show More
				`@@ -1 +0,0 @@`
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