v3.4.33

fix: 不记忆历史的会话 #630
Merge pull request #648 from Soulter/feat-edge-tts
2025-02-28 22:13:08 +08:00 · 2025-02-28 22:00:49 +08:00 · 2025-02-28 21:46:50 +08:00 · 2025-02-28 21:33:03 +08:00 · 2025-02-28 21:24:54 +08:00 · 2025-02-28 21:12:37 +08:00
142 changed files with 7287 additions and 1814 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -17,8 +17,12 @@ addons/plugins

 tests/astrbot_plugin_openai
 chroma
-node_modules/
+dashboard/node_modules/
+dashboard/dist/
 .DS_Store
 package-lock.json
 package.json
-venv/*
+venv/*
+packages/python_interpreter/workplace
+.venv/*
+.conda/
--- a/4
+++ b/4
@@ -12,7 +12,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

-RUN python -m pip install -r requirements.txt
+RUN python -m pip install -r requirements.txt --no-cache-dir
+
+RUN python -m pip install socksio wechatpy cryptography --no-cache-dir

 EXPOSE 6185 
 EXPOSE 6186
--- a/4
+++ b/4
@@ -629,8 +629,8 @@ to attach them to the start of each source file to most effectively
 state the exclusion of warranty; and each file should have at least
 the "copyright" line and a pointer to where the full notice is found.

-    <one line to give the program's name and a brief idea of what it does.>
-    Copyright (C) <year>  <name of author>
+    AstrBot is a llm-powered chatbot and develop framework.
+    Copyright (C) 2022-2099 Soulter

    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU Affero General Public License as published
--- a/README.md
+++ b/README.md
@@ -1,7 +1,6 @@
 <p align="center">
    
-![logo](https://github.com/user-attachments/assets/07649e07-3b8e-4feb-9aa9-bf13af4f3476)
-
+![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)

 </p>

@@ -9,14 +8,18 @@

 _✨ 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>
-<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-322154837-purple">
+<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
 [![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
 ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
 [![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)

+<a href="https://github.com/Soulter/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/Soulter/AstrBot/blob/master/README_ja.md">日本語</a> ｜
 <a href="https://astrbot.app/">查看文档</a> ｜
 <a href="https://github.com/Soulter/AstrBot/issues">问题提交</a>
 </div>
@@ -26,7 +29,7 @@ AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用
 ## ✨ 主要功能

 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、VChat）、Telegram。后续将支持钉钉、飞书、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。
+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。
 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。
@@ -70,9 +73,9 @@ AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用
 | QQ(OneBot)      | ✔    | 私聊、群聊 | 文字、图片、语音 |
 | 微信(个人号)    | ✔    | 微信个人号私聊、群聊 | 文字、图片、语音 |
 | [Telegram](https://github.com/Soulter/astrbot_plugin_telegram)   | ✔    | 私聊、群聊 | 文字、图片 |
-| 微信(企业微信)    | 🚧    | 计划内 | - |
+| [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 |
 | 微信对话开放平台 | 🚧    | 计划内 | - |
-| 飞书   | 🚧    | 计划内 | - |
 | Discord   | 🚧    | 计划内 | - |
 | WhatsApp   | 🚧    | 计划内 | - |
 | 小爱音响   | 🚧    | 计划内 | - |
@@ -146,10 +149,6 @@ _✨ 内置 Web Chat，在线与机器人交互 ✨_

 </div>

-## Sponsors
-
-[<img src="https://api.gitsponsors.com/api/badge/img?id=575865240" height="20">](https://api.gitsponsors.com/api/badge/link?p=XEpbdGxlitw/RbcwiTX93UMzNK/jgDYC8NiSzamIPMoKvG2lBFmyXhSS/b0hFoWlBBMX2L5X5CxTDsUdyvcIEHTOfnkXz47UNOZvMwyt5CzbYpq0SEzsSV1OJF1cCo90qC/ZyYKYOWedal3MhZ3ikw==)
-
 ## Disclaimer

 1. The project is protected under the `AGPL-v3` opensource license.
--- a/README_en.md
+++ b/README_en.md
@@ -0,0 +1,164 @@
+<p align="center">
+    
+![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+
+</p>
+
+<div align="center">
+
+_✨ Easy-to-use Multi-platform LLM Chatbot & Development Framework ✨_
+
+<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
+<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
+
+<a href="https://astrbot.app/">Documentation</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">Issue Tracking</a>
+</div>
+
+AstrBot is a loosely coupled, asynchronous chatbot and development framework that supports multi-platform deployment, featuring an easy-to-use plugin system and comprehensive Large Language Model (LLM) integration capabilities.
+
+## ✨ Key Features
+
+1. **LLM Conversations** - Supports various LLMs including OpenAI API, Google Gemini, Llama, Deepseek, ChatGLM, etc. Enables local model deployment via Ollama/LLMTuner. Features multi-turn dialogues, personality contexts, multimodal capabilities (image understanding), and speech-to-text (Whisper).
+2. **Multi-platform Integration** - Supports QQ (OneBot), QQ Channels, WeChat (Gewechat), Feishu, and Telegram. Planned support for DingTalk, Discord, WhatsApp, and Xiaomi Smart Speakers. Includes rate limiting, whitelisting, keyword filtering, and Baidu content moderation.
+3. **Agent Capabilities** - Native support for code execution, natural language TODO lists, web search. Integrates with [Dify Platform](https://astrbot.app/others/dify.html) for easy access to Dify assistants/knowledge bases/workflows.
+4. **Plugin System** - Optimized plugin mechanism with minimal development effort. Supports multiple installed plugins.
+5. **Web Dashboard** - Visual configuration management, plugin controls, logging, and WebChat interface for direct LLM interaction.
+6. **High Stability & Modularity** - Event bus and pipeline architecture ensures high modularization and loose coupling.
+
+> [!TIP]
+> Dashboard Demo: [https://demo.astrbot.app/](https://demo.astrbot.app/)  
+> Username: `astrbot`, Password: `astrbot` (LLM not configured for chat page)
+
+## ✨ Deployment
+
+#### Docker Deployment
+
+See docs: [Deploy with Docker](https://astrbot.app/deploy/astrbot/docker.html#docker-deployment)
+
+#### Windows Installer
+
+Requires Python (>3.10). See docs: [Windows Installer Guide](https://astrbot.app/deploy/astrbot/windows.html)
+
+#### Replit Deployment
+
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
+
+#### CasaOS Deployment
+
+Community-contributed method.  
+See docs: [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html)
+
+#### Manual Deployment
+
+See docs: [Source Code Deployment](https://astrbot.app/deploy/astrbot/cli.html)
+
+## ⚡ Platform Support
+
+| Platform                                                       | Status | Details             | Message Types       |
+| -------------------------------------------------------------- | ------ | ------------------- | ------------------- |
+| QQ (Official Bot)                                              | ✔      | Private/Group chats | Text, Images        |
+| QQ (OneBot)                                                    | ✔      | Private/Group chats | Text, Images, Voice |
+| WeChat (Personal)                                              | ✔      | Private/Group chats | Text, Images, Voice |
+| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram) | ✔      | Private/Group chats | Text, Images        |
+| [WeChat Work](https://github.com/Soulter/astrbot_plugin_wecom) | ✔      | Private chats       | Text, Images, Voice |
+| Feishu                                                         | ✔      | Group chats         | Text, Images        |
+| WeChat Open Platform                                           | 🚧      | Planned             | -                   |
+| Discord                                                        | 🚧      | Planned             | -                   |
+| WhatsApp                                                       | 🚧      | Planned             | -                   |
+| Xiaomi Speakers                                                | 🚧      | Planned             | -                   |
+
+# 🦌 Roadmap
+
+> [!TIP]
+> Suggestions welcome via Issues <3
+
+- [ ] Ensure feature parity across all platform adapters
+- [ ] Optimize plugin APIs
+- [ ] Add default TTS services (e.g., GPT-Sovits)
+- [ ] Enhance chat features with persistent memory
+- [ ] i18n Planning
+
+## ❤️ Contributions
+
+All Issues/PRs welcome! Simply submit your changes to this project :)
+
+For major features, please discuss via Issues first.
+
+## 🌟 Support
+
+- Star this project!
+- Support via [Afdian](https://afdian.com/a/soulter)
+- WeChat support: [QR Code](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)
+
+## ✨ Demos
+
+> [!NOTE]
+> Code executor file I/O currently tested with Napcat(QQ)/Lagrange(QQ)
+
+<div align='center'>
+
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+
+_✨ Docker-based Sandboxed Code Executor (Beta) ✨_
+
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+
+_✨ Multimodal Input, Web Search, Text-to-Image ✨_
+
+<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
+
+_✨ Natural Language TODO Lists ✨_
+
+<img src="https://github.com/user-attachments/assets/e137a9e1-340a-4bf2-bb2b-771132780735" height=150>
+<img src="https://github.com/user-attachments/assets/480f5e82-cf6a-4955-a869-0d73137aa6e1" height=150>
+
+_✨ Plugin System Showcase ✨_
+
+<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width=600>
+
+_✨ Web Dashboard ✨_
+
+![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
+
+_✨ Built-in Web Chat Interface ✨_
+
+</div>
+
+## ⭐ Star History
+
+> [!TIP] 
+> If this project helps you, please give it a star <3
+
+<div align="center">
+    
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
+
+</div>
+
+## Disclaimer
+
+1. Licensed under `AGPL-v3`.
+2. WeChat integration uses [Gewechat](https://github.com/Devo919/Gewechat). Use at your own risk with non-critical accounts.
+3. Users must comply with local laws and regulations.
+
+<!-- ## ✨ ATRI [Beta]
+
+Available as plugin: [astrbot_plugin_atri](https://github.com/Soulter/astrbot_plugin_atri)
+
+1. Qwen1.5-7B-Chat Lora model fine-tuned with ATRI character data
+2. Long-term memory
+3. Meme understanding & responses
+4. TTS integration
+    -->
+
+
+_私は、高性能ですから!_
+
--- a/README_ja.md
+++ b/README_ja.md
@@ -0,0 +1,170 @@
+<p align="center">
+    
+![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+
+</p>
+
+<div align="center">
+
+_✨ 簡単に使えるマルチプラットフォーム LLM チャットボットおよび開発フレームワーク ✨_
+
+<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
+<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
+
+<a href="https://astrbot.app/">ドキュメントを見る</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">問題を報告する</a>
+</div>
+
+AstrBot は、疎結合、非同期、複数のメッセージプラットフォームに対応したデプロイ、使いやすいプラグインシステム、および包括的な大規模言語モデル（LLM）接続機能を備えたチャットボットおよび開発フレームワークです。
+
+## ✨ 主な機能
+
+1. **大規模言語モデルの対話**。OpenAI API、Google Gemini、Llama、Deepseek、ChatGLM など、さまざまな大規模言語モデルをサポートし、Ollama、LLMTuner を介してローカルにデプロイされた大規模モデルをサポートします。多輪対話、人格シナリオ、多モーダル機能を備え、画像理解、音声からテキストへの変換（Whisper）をサポートします。
+2. **複数のメッセージプラットフォームの接続**。QQ（OneBot）、QQ チャンネル、WeChat（Gewechat）、Feishu、Telegram への接続をサポートします。今後、DingTalk、Discord、WhatsApp、Xiaoai 音響をサポートする予定です。レート制限、ホワイトリスト、キーワードフィルタリング、Baidu コンテンツ監査をサポートします。
+3. **エージェント**。一部のエージェント機能をネイティブにサポートし、コードエグゼキューター、自然言語タスク、ウェブ検索などを提供します。[Dify プラットフォーム](https://astrbot.app/others/dify.html)と連携し、Dify スマートアシスタント、ナレッジベース、Dify ワークフローを簡単に接続できます。
+4. **プラグインの拡張**。深く最適化されたプラグインメカニズムを備え、[プラグインの開発](https://astrbot.app/dev/plugin.html)をサポートし、機能を拡張できます。複数のプラグインのインストールをサポートします。
+5. **ビジュアル管理パネル**。設定の視覚的な変更、プラグイン管理、ログの表示などをサポートし、設定の難易度を低減します。WebChat を統合し、パネル上で大規模モデルと対話できます。
+6. **高い安定性と高いモジュール性**。イベントバスとパイプラインに基づくアーキテクチャ設計により、高度にモジュール化され、低結合です。
+
+> [!TIP]
+> 管理パネルのオンラインデモを体験する: [https://demo.astrbot.app/](https://demo.astrbot.app/)
+> 
+> ユーザー名: `astrbot`, パスワード: `astrbot`。LLM が設定されていないため、チャットページで大規模モデルを使用することはできません。（デモのログインパスワードを変更しないでください 😭）
+
+## ✨ 使用方法
+
+#### Docker デプロイ
+
+公式ドキュメント [Docker を使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) を参照してください。
+
+#### Windows ワンクリックインストーラーのデプロイ
+
+コンピュータに Python（>3.10）がインストールされている必要があります。公式ドキュメント [Windows ワンクリックインストーラーを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/windows.html) を参照してください。
+
+#### Replit デプロイ
+
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
+
+#### CasaOS デプロイ
+
+コミュニティが提供するデプロイ方法です。
+
+公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/casaos.html) を参照してください。
+
+#### 手動デプロイ
+
+公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/cli.html) を参照してください。
+
+## ⚡ メッセージプラットフォームのサポート状況
+
+| プラットフォーム    | サポート状況 | 詳細 | メッセージタイプ |
+| -------- | ------- | ------- | ------ |
+| QQ(公式ロボットインターフェース) | ✔    | プライベートチャット、グループチャット、QQ チャンネルプライベートチャット、グループチャット | テキスト、画像 |
+| QQ(OneBot)      | ✔    | プライベートチャット、グループチャット | テキスト、画像、音声 |
+| WeChat(個人アカウント)    | ✔    | WeChat 個人アカウントのプライベートチャット、グループチャット | テキスト、画像、音声 |
+| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram)   | ✔    | プライベートチャット、グループチャット | テキスト、画像 |
+| [WeChat(企業 WeChat)](https://github.com/Soulter/astrbot_plugin_wecom)    | ✔    | プライベートチャット | テキスト、画像、音声 |
+| Feishu   | ✔    | グループチャット | テキスト、画像 |
+| WeChat 対話オープンプラットフォーム | 🚧    | 計画中 | - |
+| Discord   | 🚧    | 計画中 | - |
+| WhatsApp   | 🚧    | 計画中 | - |
+| Xiaoai 音響   | 🚧    | 計画中 | - |
+
+# 🦌 今後のロードマップ
+
+> [!TIP]
+> Issue でさらに多くの提案を歓迎します <3
+
+- [ ] 現在のすべてのプラットフォームアダプターの機能の一貫性を確保し、改善する
+- [ ] プラグインインターフェースの最適化
+- [ ] GPT-Sovits などの TTS サービスをデフォルトでサポート
+- [ ] "チャット強化" 部分を完成させ、永続的な記憶をサポート
+- [ ] i18n の計画
+
+## ❤️ 貢献
+
+Issue や Pull Request を歓迎します！このプロジェクトに変更を加えるだけです :)
+
+新機能の追加については、まず Issue で議論してください。
+
+## 🌟 サポート
+
+- このプロジェクトに Star を付けてください！
+- [愛発電](https://afdian.com/a/soulter)で私をサポートしてください！
+- [WeChat](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)で私をサポートしてください~
+
+## ✨ デモ
+
+> [!NOTE]
+> コードエグゼキューターのファイル入力/出力は現在 Napcat(QQ)、Lagrange(QQ) でのみテストされています
+
+<div align='center'>
+
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+
+_✨ Docker ベースのサンドボックス化されたコードエグゼキューター（ベータテスト中）✨_
+
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+
+_✨ 多モーダル、ウェブ検索、長文の画像変換（設定可能）✨_
+
+<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
+
+_✨ 自然言語タスク ✨_
+
+<img src="https://github.com/user-attachments/assets/e137a9e1-340a-4bf2-bb2b-771132780735" height=150>
+<img src="https://github.com/user-attachments/assets/480f5e82-cf6a-4955-a869-0d73137aa6e1" height=150>
+
+_✨ プラグインシステム - 一部のプラグインの展示 ✨_
+
+<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width="600">
+
+_✨ 管理パネル ✨_
+
+![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
+
+_✨ 内蔵 Web Chat、オンラインでボットと対話 ✨_
+
+</div>
+
+## ⭐ Star History
+
+> [!TIP] 
+> このプロジェクトがあなたの生活や仕事に役立った場合、またはこのプロジェクトの将来の発展に関心がある場合は、プロジェクトに Star を付けてください。これはこのオープンソースプロジェクトを維持するためのモチベーションです <3
+
+<div align="center">
+    
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
+
+</div>
+
+## スポンサー
+
+[<img src="https://api.gitsponsors.com/api/badge/img?id=575865240" height="20">](https://api.gitsponsors.com/api/badge/link?p=XEpbdGxlitw/RbcwiTX93UMzNK/jgDYC8NiSzamIPMoKvG2lBFmyXhSS/b0hFoWlBBMX2L5X5CxTDsUdyvcIEHTOfnkXz47UNOZvMwyt5CzbYpq0SEzsSV1OJF1cCo90qC/ZyYKYOWedal3MhZ3ikw==)
+
+## 免責事項
+
+1. このプロジェクトは `AGPL-v3` オープンソースライセンスの下で保護されています。
+2. WeChat（個人アカウント）のデプロイメントには [Gewechat](https://github.com/Devo919/Gewechat) サービスを利用しています。AstrBot は Gewechat との接続を保証するだけであり、アカウントのリスク管理に関しては、このプロジェクトの著者は一切の責任を負いません。
+3. このプロジェクトを使用する際は、現地の法律および規制を遵守してください。
+
+<!-- ## ✨ ATRI [ベータテスト]
+
+この機能はプラグインとしてロードされます。プラグインリポジトリのアドレス：[astrbot_plugin_atri](https://github.com/Soulter/astrbot_plugin_atri)
+
+1. 《ATRI ~ My Dear Moments》の主人公 ATRI のキャラクターセリフを微調整データセットとして使用した `Qwen1.5-7B-Chat Lora` 微調整モデル。
+2. 長期記憶
+3. ミームの理解と返信
+4. TTS
+    -->
+
+
+_私は、高性能ですから!_
+
--- a/astrbot/api/event/filter/init.py
+++ b/astrbot/api/event/filter/init.py
@@ -5,6 +5,7 @@ from astrbot.core.star.register import (
    register_regex as regex,
    register_platform_adapter_type as platform_adapter_type,
    register_permission_type as permission_type,
+    register_custom_filter as custom_filter,
    register_on_llm_request as on_llm_request,
    register_on_llm_response as on_llm_response,
    register_llm_tool as llm_tool,
@@ -15,6 +16,7 @@ from astrbot.core.star.register import (
 from astrbot.core.star.filter.event_message_type import EventMessageTypeFilter, EventMessageType
 from astrbot.core.star.filter.platform_adapter_type import PlatformAdapterTypeFilter, PlatformAdapterType
 from astrbot.core.star.filter.permission import PermissionTypeFilter, PermissionType
+from astrbot.core.star.filter.custom_filter import CustomFilter

 __all__ = [
    'command',
@@ -28,6 +30,8 @@ __all__ = [
    'PlatformAdapterTypeFilter',
    'PlatformAdapterType',
    'PermissionTypeFilter',
+    'CustomFilter',
+    'custom_filter',
    'PermissionType',
    'on_llm_request',
    'llm_tool',
--- a/astrbot/core/init.py
+++ b/astrbot/core/init.py
@@ -11,7 +11,8 @@ from astrbot.core.config import AstrBotConfig
 os.makedirs("data", exist_ok=True)

 astrbot_config = AstrBotConfig()
-html_renderer = HtmlRenderer()
+t2i_base_url = astrbot_config.get('t2i_endpoint', 'https://t2i.soulter.top/text2img')
+html_renderer = HtmlRenderer(t2i_base_url)
 logger = LogManager.GetLogger(log_name='astrbot')

 if os.environ.get('TESTING', ""):
--- a/astrbot/core/config/default.py
+++ b/astrbot/core/config/default.py
@@ -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 = "3.4.17"
+VERSION = "3.4.33"
 DB_PATH = "data/data_v3.db"

 # 默认配置
@@ -16,7 +16,7 @@ DEFAULT_CONFIG = {
            "strategy": "stall",  # stall, discard
        },
        "reply_prefix": "",
-        "forward_threshold": 200,
+        "forward_threshold": 1500,
        "enable_id_white_list": True,
        "id_whitelist": [],
        "id_whitelist_log": True,
@@ -28,9 +28,14 @@ DEFAULT_CONFIG = {
        "segmented_reply": {
            "enable": False,
            "only_llm_result": True,
+            "interval_method": "random",
            "interval": "1.5,3.5",
-            "regex": ".*?[。？！~…]+|.+$"
-        }
+            "log_base": 2.6,
+            "words_count_threshold": 150,
+            "regex": ".*?[。？！~…]+|.+$",
+            "content_cleanup_rule": "",
+        },
+        "no_permission_reply": True,
    },
    "provider": [],
    "provider_settings": {
@@ -55,26 +60,30 @@ DEFAULT_CONFIG = {
        "group_icl_enable": False,
        "group_message_max_cnt": 300,
        "image_caption": False,
+        "image_caption_provider_id": "",
        "image_caption_prompt": "Please describe the image using Chinese.",
        "active_reply": {
            "enable": False,
            "method": "possibility_reply",
            "possibility_reply": 0.1,
            "prompt": "",
+            "whitelist": [],
        },
-        "put_history_to_prompt": True,
    },
    "content_safety": {
+        "also_use_in_response": False,
        "internal_keywords": {"enable": True, "extra_keywords": []},
        "baidu_aip": {"enable": False, "app_id": "", "api_key": "", "secret_key": ""},
    },
-    "admins_id": [],
+    "admins_id": ["astrbot"],
    "t2i": False,
+    "t2i_word_threshold": 150,
    "http_proxy": "",
    "dashboard": {
        "enable": True,
        "username": "astrbot",
        "password": "77b90590a8945a7d36c963981a307dc9",
+        "port": 6185,
    },
    "platform": [],
    "wake_prefix": ["/"],
@@ -83,14 +92,7 @@ DEFAULT_CONFIG = {
    "pip_install_arg": "",
    "plugin_repo_mirror": "",
    "knowledge_db": {},
-    "persona": [
-        {
-            "name": "default",
-            "prompt": "",
-            "begin_dialogs": [],
-            "mood_imitation_dialogs": [],
-        }
-    ],
+    "persona": [],
 }


@@ -112,11 +114,19 @@ CONFIG_METADATA_2 = {
                        "enable_group_c2c": True,
                        "enable_guild_direct_message": True,
                    },
-                    "aiocqhtp(QQ)": {
+                    "qq_official_webhook(QQ)": {
+                        "id": "default",
+                        "type": "qq_official_webhook",
+                        "enable": False,
+                        "appid": "",
+                        "secret": "",
+                        "port": 6196,
+                    },
+                    "aiocqhttp(OneBotv11)": {
                        "id": "default",
                        "type": "aiocqhttp",
                        "enable": False,
-                        "ws_reverse_host": "",
+                        "ws_reverse_host": "0.0.0.0",
                        "ws_reverse_port": 6199,
                    },
                    "gewechat(微信)": {
@@ -128,12 +138,43 @@ CONFIG_METADATA_2 = {
                        "host": "这里填写你的局域网IP或者公网服务器IP",
                        "port": 11451,
                    },
+                    "wecom(企业微信)": {
+                        "corpid": "",
+                        "secret": "",
+                        "port": 6195,
+                        "token": "",
+                        "encoding_aes_key": "",
+                        "api_base_url": "https://qyapi.weixin.qq.com/cgi-bin/",
+                    },
+                    "lark(飞书)": {
+                        "id": "lark",
+                        "type": "lark",
+                        "enable": False,
+                        "lark_bot_name": "",
+                        "app_id": "",
+                        "app_secret": "",
+                        "domain": "https://open.feishu.cn",
+                    },
+                    "telegram": {
+                        "id": "telegram",
+                        "type": "telegram",
+                        "enable": False,
+                        "telegram_token": "your_bot_token",
+                        "start_message": "Hello, I'm AstrBot!",
+                        "telegram_api_base_url": "https://api.telegram.org/bot",
+                    },
                },
                "items": {
+                    "telegram_token": {
+                        "description": "Bot Token",
+                        "type": "string",
+                        "hint": "如果你的网络环境为中国大陆，请在 `其他配置` 处设置代理或更改 api_base。",
+                    },
                    "id": {
                        "description": "ID",
                        "type": "string",
-                        "hint": "提供商 ID 名，用于在多实例下方便管理和识别。自定义，ID 不能重复。",
+                        "obvious_hint": True,
+                        "hint": "ID 不能和其它的平台适配器重复，否则将发生严重冲突。",
                    },
                    "type": {
                        "description": "适配器类型",
@@ -175,6 +216,12 @@ CONFIG_METADATA_2 = {
                        "type": "int",
                        "hint": "aiocqhttp 适配器的反向 Websocket 端口。",
                    },
+                    "lark_bot_name": {
+                        "description": "飞书机器人的名字",
+                        "type": "string",
+                        "hint": "请务必填对，否则 @ 机器人将无法唤醒，只能通过前缀唤醒。",
+                        "obvious_hint": True,
+                    },
                },
            },
            "platform_settings": {
@@ -201,6 +248,11 @@ CONFIG_METADATA_2 = {
                            },
                        },
                    },
+                    "no_permission_reply": {
+                        "description": "无权限回复",
+                        "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。",
+                    },
                    "segmented_reply": {
                        "description": "分段回复",
                        "type": "object",
@@ -213,10 +265,26 @@ CONFIG_METADATA_2 = {
                                "description": "仅对 LLM 结果分段",
                                "type": "bool",
                            },
+                            "interval_method": {
+                                "description": "间隔时间计算方法",
+                                "type": "string",
+                                "options": ["random", "log"],
+                                "hint": "分段回复的间隔时间计算方法。random 为随机时间，log 为根据消息长度计算，$y=log_<log_base>(x)$，x为字数，y的单位为秒。",
+                            },
                            "interval": {
                                "description": "随机间隔时间(秒)",
                                "type": "string",
-                                "hint": "每一段回复的间隔时间，格式为 `最小时间,最大时间`。如 `0.75,2.5`",
+                                "hint": "`random` 方法用。每一段回复的间隔时间，格式为 `最小时间,最大时间`。如 `0.75,2.5`",
+                            },
+                            "log_base": {
+                                "description": "对数函数底数",
+                                "type": "float",
+                                "hint": "`log` 方法用。对数函数的底数。默认为 2.6",
+                            },
+                            "words_count_threshold": {
+                                "description": "字数阈值",
+                                "type": "int",
+                                "hint": "超过这个字数的消息不会被分段回复。默认为 150",
                            },
                            "regex": {
                                "description": "正则表达式",
@@ -224,6 +292,12 @@ CONFIG_METADATA_2 = {
                                "obvious_hint": True,
                                "hint": "用于分隔一段消息。默认情况下会根据句号、问号等标点符号分隔。re.findall(r'<regex>', text)",
                            },
+                            "content_cleanup_rule": {
+                                "description": "过滤分段后的内容",
+                                "type": "string",
+                                "obvious_hint": True,
+                                "hint": "移除分段后的内容中的指定的内容。支持正则表达式。如填写 `[。？！]` 将移除所有的句号、问号、感叹号。re.sub(r'<regex>', '', text)",
+                            },
                        },
                    },
                    "reply_prefix": {
@@ -245,7 +319,7 @@ 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",
+                        "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",
                    },
                    "id_whitelist_log": {
                        "description": "打印白名单日志",
@@ -276,13 +350,18 @@ CONFIG_METADATA_2 = {
                        "items": {"type": "string"},
                        "obvious_hint": True,
                        "hint": "此功能解决由于文件系统不一致导致路径不存在的问题。格式为 <原路径>:<映射路径>。如 `/app/.config/QQ:/var/lib/docker/volumes/xxxx/_data`。这样，当消息平台下发的事件中图片和语音路径以 `/app/.config/QQ` 开头时，开头被替换为 `/var/lib/docker/volumes/xxxx/_data`。这在 AstrBot 或者平台协议端使用 Docker 部署时特别有用。",
-                    }
+                    },
                },
            },
            "content_safety": {
                "description": "内容安全",
                "type": "object",
                "items": {
+                    "also_use_in_response": {
+                        "description": "对大模型响应安全审核",
+                        "type": "bool",
+                        "hint": "启用后，大模型的响应也会通过内容安全审核。",
+                    },
                    "baidu_aip": {
                        "description": "百度内容审核配置",
                        "type": "object",
@@ -327,17 +406,53 @@ CONFIG_METADATA_2 = {
                "description": "服务提供商配置",
                "type": "list",
                "config_template": {
-                    "openai": {
-                        "id": "default",
+                    "OpenAI": {
+                        "id": "openai",
                        "type": "openai_chat_completion",
                        "enable": True,
                        "key": [],
                        "api_base": "https://api.openai.com/v1",
+                        "timeout": 120,
                        "model_config": {
                            "model": "gpt-4o-mini",
                        },
                    },
-                    "ollama": {
+                    "Azure_OpenAI": {
+                        "id": "azure",
+                        "type": "openai_chat_completion",
+                        "enable": True,
+                        "api_version": "2024-05-01-preview",
+                        "key": [],
+                        "api_base": "",
+                        "timeout": 120,
+                        "model_config": {
+                            "model": "gpt-4o-mini",
+                        },
+                    },
+                    "xAI(grok)": {
+                        "id": "xai",
+                        "type": "openai_chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "api_base": "https://api.x.ai/v1",
+                        "timeout": 120,
+                        "model_config": {
+                            "model": "grok-2-latest",
+                        },
+                    },
+                    "Anthropic(claude)": {
+                        "id": "claude",
+                        "type": "anthropic_chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "api_base": "https://api.anthropic.com/v1",
+                        "timeout": 120,
+                        "model_config": {
+                            "model": "claude-3-5-sonnet-latest",
+                            "max_tokens": 4096,
+                        },
+                    },
+                    "Ollama": {
                        "id": "ollama_default",
                        "type": "openai_chat_completion",
                        "enable": True,
@@ -347,47 +462,73 @@ CONFIG_METADATA_2 = {
                            "model": "llama3.1-8b",
                        },
                    },
-                    "gemini(OpenAI兼容)": {
+                    "Gemini(OpenAI兼容)": {
                        "id": "gemini_default",
                        "type": "openai_chat_completion",
                        "enable": True,
                        "key": [],
                        "api_base": "https://generativelanguage.googleapis.com/v1beta/openai/",
+                        "timeout": 120,
                        "model_config": {
                            "model": "gemini-1.5-flash",
                        },
                    },
-                    "gemini(googlegenai原生)": {
+                    "Gemini(googlegenai原生)": {
                        "id": "gemini_default",
                        "type": "googlegenai_chat_completion",
                        "enable": True,
                        "key": [],
                        "api_base": "https://generativelanguage.googleapis.com/",
+                        "timeout": 120,
                        "model_config": {
                            "model": "gemini-1.5-flash",
                        },
                    },
-                    "deepseek": {
+                    "DeepSeek": {
                        "id": "deepseek_default",
                        "type": "openai_chat_completion",
                        "enable": True,
                        "key": [],
                        "api_base": "https://api.deepseek.com/v1",
+                        "timeout": 120,
                        "model_config": {
                            "model": "deepseek-chat",
                        },
                    },
-                    "zhipu": {
+                    "Zhipu(智谱)": {
                        "id": "zhipu_default",
                        "type": "zhipu_chat_completion",
                        "enable": True,
                        "key": [],
+                        "timeout": 120,
                        "api_base": "https://open.bigmodel.cn/api/paas/v4/",
                        "model_config": {
                            "model": "glm-4-flash",
                        },
                    },
-                    "llmtuner": {
+                    "SiliconFlow(硅基流动)": {
+                        "id": "siliconflow",
+                        "type": "openai_chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "timeout": 120,
+                        "api_base": "https://api.siliconflow.cn/v1",
+                        "model_config": {
+                            "model": "deepseek-ai/DeepSeek-V3",
+                        },
+                    },
+                    "MoonShot(Kimi)": {
+                        "id": "moonshot",
+                        "type": "openai_chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "timeout": 120,
+                        "api_base": "https://api.moonshot.cn/v1",
+                        "model_config": {
+                            "model": "moonshot-v1-8k",
+                        },
+                    },
+                    "LLMTuner": {
                        "id": "llmtuner_default",
                        "type": "llm_tuner",
                        "enable": True,
@@ -397,7 +538,7 @@ CONFIG_METADATA_2 = {
                        "finetuning_type": "lora",
                        "quantization_bit": 4,
                    },
-                    "dify": {
+                    "Dify": {
                        "id": "dify_app_default",
                        "type": "dify",
                        "enable": True,
@@ -405,8 +546,29 @@ CONFIG_METADATA_2 = {
                        "dify_api_key": "",
                        "dify_api_base": "https://api.dify.ai/v1",
                        "dify_workflow_output_key": "",
+                        "dify_query_input_key": "astrbot_text_query",
+                        "variables": {},
+                        "timeout": 60,
                    },
-                    "whisper(API)": {
+                    "Dashscope(阿里云百炼应用)": {
+                        "id": "dashscope",
+                        "type": "dashscope",
+                        "enable": True,
+                        "dashscope_app_type": "agent",
+                        "dashscope_api_key": "",
+                        "dashscope_app_id": "",
+                        "variables": {},
+                        "timeout": 60,
+                    },
+                    "FastGPT": {
+                        "id": "fastgpt",
+                        "type": "openai_chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "api_base": "https://api.fastgpt.in/api/v1",
+                        "timeout": 60,
+                    },
+                    "Whisper(API)": {
                        "id": "whisper",
                        "type": "openai_whisper_api",
                        "enable": False,
@@ -414,14 +576,22 @@ CONFIG_METADATA_2 = {
                        "api_base": "",
                        "model": "whisper-1",
                    },
-                    "whisper(本地加载)": {
+                    "Whisper(本地加载)": {
                        "whisper_hint": "(不用修改我)",
                        "enable": False,
                        "id": "whisper",
                        "type": "openai_whisper_selfhost",
                        "model": "tiny",
                    },
-                    "openai_tts(API)": {
+                    "sensevoice(本地加载)": {
+                        "sensevoice_hint": "(不用修改我)",
+                        "enable": False,
+                        "id": "sensevoice",
+                        "type": "sensevoice_stt_selfhost",
+                        "stt_model": "iic/SenseVoiceSmall",
+                        "is_emotion": False,
+                    },
+                    "OpenAI_TTS(API)": {
                        "id": "openai_tts",
                        "type": "openai_tts_api",
                        "enable": False,
@@ -431,14 +601,82 @@ CONFIG_METADATA_2 = {
                        "openai-tts-voice": "alloy",
                        "timeout": "20",
                    },
+                    "Edge_TTS": {
+                        "id": "edge_tts",
+                        "type": "edge_tts",
+                        "enable": False,
+                        "edge-tts-voice": "zh-CN-XiaoxiaoNeural",
+                        "timeout": 20,
+                    },
+                    "FishAudio_TTS(API)": {
+                        "id": "fishaudio_tts",
+                        "type": "fishaudio_tts_api",
+                        "enable": False,
+                        "api_key": "",
+                        "api_base": "https://api.fish-audio.cn/v1",
+                        "fishaudio-tts-character": "可莉",
+                        "timeout": "20",
+                    },
                },
                "items": {
+                    "sensevoice_hint": {
+                        "description": "部署SenseVoice",
+                        "type": "string",
+                        "hint": "启用前请 pip 安装 funasr、funasr_onnx、torchaudio、torch、modelscope、jieba 库（默认使用CPU，大约下载 1 GB），并且安装 ffmpeg。否则将无法正常转文字。",
+                        "obvious_hint": True,
+                    },
+                    "is_emotion": {
+                        "description": "情绪识别",
+                        "type": "bool",
+                        "hint": "是否开启情绪识别。happy｜sad｜angry｜neutral｜fearful｜disgusted｜surprised｜unknown",
+                    },
+                    "stt_model": {
+                        "description": "模型名称",
+                        "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。",
+                    # },
+                    # "fastgpt_app_type": {
+                    #     "description": "应用类型",
+                    #     "type": "string",
+                    #     "hint": "FastGPT 应用的应用类型。",
+                    #     "options": ["agent", "workflow", "plugin"],
+                    #     "obvious_hint": True,
+                    # },
+                    "dashscope_app_type": {
+                        "description": "应用类型",
+                        "type": "string",
+                        "hint": "阿里云百炼应用的应用类型。",
+                        "options": [
+                            "agent",
+                            "agent-arrange",
+                            "dialog-workflow",
+                            "task-workflow",
+                        ],
+                        "obvious_hint": True,
+                    },
+                    "timeout": {
+                        "description": "超时时间",
+                        "type": "int",
+                        "hint": "超时时间，单位为秒。",
+                    },
                    "openai-tts-voice": {
                        "description": "voice",
                        "type": "string",
                        "obvious_hint": True,
                        "hint": "OpenAI TTS 的声音。OpenAI 默认支持：'alloy', 'echo', 'fable', 'onyx', 'nova', 'shimmer'",
                    },
+                    "fishaudio-tts-character": {
+                        "description": "character",
+                        "type": "string",
+                        "obvious_hint": True,
+                        "hint": "fishaudio TTS 的角色。默认为可莉。更多角色请访问：https://fish.audio/zh-CN/discovery",
+                    },
                    "whisper_hint": {
                        "description": "本地部署 Whisper 模型须知",
                        "type": "string",
@@ -448,7 +686,8 @@ CONFIG_METADATA_2 = {
                    "id": {
                        "description": "ID",
                        "type": "string",
-                        "hint": "提供商 ID 名，用于在多实例下方便管理和识别。自定义，ID 不能重复。",
+                        "obvious_hint": True,
+                        "hint": "ID 不能和其它的服务提供商重复，否则将发生严重冲突。",
                    },
                    "type": {
                        "description": "模型提供商类型",
@@ -535,6 +774,12 @@ CONFIG_METADATA_2 = {
                        "type": "string",
                        "hint": "Dify Workflow 输出变量名。当应用类型为 workflow 时才使用。默认为 astrbot_wf_output。",
                    },
+                    "dify_query_input_key": {
+                        "description": "Prompt 输入变量名",
+                        "type": "string",
+                        "hint": "发送的消息文本内容对应的输入变量名。默认为 astrbot_text_query。",
+                        "obvious": True,
+                    },
                },
            },
            "provider_settings": {
@@ -616,14 +861,14 @@ CONFIG_METADATA_2 = {
                        "description": "预设对话",
                        "type": "list",
                        "items": {"type": "string"},
-                        "hint": "可选。在每个对话前会插入这些预设对话。对话需要成对(用户和助手)，输入完一个角色之后按回车",
+                        "hint": "可选。在每个对话前会插入这些预设对话。对话需要成对(用户和助手)，输入完一个角色的内容之后按【回车】。需要偶数个对话",
                        "obvious_hint": True,
                    },
                    "mood_imitation_dialogs": {
                        "description": "对话风格模仿",
                        "type": "list",
                        "items": {"type": "string"},
-                        "hint": "旨在让模型尽可能模仿学习到所填写的对话的语气风格。格式和 `预设对话` 一样。对话需要成对(用户和助手)，输入完一个角色之后按回车",
+                        "hint": "旨在让模型尽可能模仿学习到所填写的对话的语气风格。格式和 `预设对话` 一致。对话需要成对(用户和助手)，输入完一个角色的内容之后按【回车】。需要偶数个对话",
                        "obvious_hint": True,
                    },
                },
@@ -684,9 +929,15 @@ CONFIG_METADATA_2 = {
                        "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。",
                    },
+                    "image_caption_provider_id": {
+                        "description": "图像转述提供商 ID",
+                        "type": "string",
+                        "obvious_hint": True,
+                        "hint": "可选。图像转述提供商 ID。如为空将选择聊天使用的提供商。",
+                    },
                    "image_caption_prompt": {
                        "description": "图像转述提示词",
-                        "type": "string"
+                        "type": "string",
                    },
                    "active_reply": {
                        "description": "主动回复",
@@ -696,7 +947,14 @@ CONFIG_METADATA_2 = {
                                "description": "启用主动回复",
                                "type": "bool",
                                "obvious_hint": True,
-                                "hint": "启用后，会根据触发概率主动回复群聊内的对话。",
+                                "hint": "启用后，会根据触发概率主动回复群聊内的对话。QQ官方API(qq_official)不可用",
+                            },
+                            "whitelist": {
+                                "description": "主动回复白名单",
+                                "type": "list",
+                                "items": {"type": "string"},
+                                "obvious_hint": True,
+                                "hint": "启用后，只有在白名单内的群聊会被主动回复。为空时不启用白名单过滤。需要通过 /sid 获取 SID 添加到这里。",
                            },
                            "method": {
                                "description": "回复方法",
@@ -714,16 +972,10 @@ CONFIG_METADATA_2 = {
                                "description": "提示词",
                                "type": "string",
                                "obvious_hint": True,
-                                "hint": "提示词。当提示词为空时，如果触发回复，prompt是触发的消息的内容；否则是提示词。此项可以和定时回复（暂未实现）配合使用。",
+                                "hint": "提示词。当提示词为空时，如果触发回复，则向 LLM 请求的是触发的消息的内容；否则是提示词。此项可以和定时回复（暂未实现）配合使用。",
                            },
                        },
                    },
-                    "put_history_to_prompt": {
-                        "description": "将群聊历史记录作为 prompt",
-                        "type": "bool",
-                        "obvious_hint": True,
-                        "hint": "需要先启用 group_icl_enable。此功能会将群聊历史记录放到 prompt 再请求。如果关闭，则是放在 system_prompt。如果开启了主动回复，建议启用，模型能够更好地完成回复任务。",
-                    }
                },
            },
        },
@@ -743,11 +995,16 @@ CONFIG_METADATA_2 = {
                "type": "bool",
                "hint": "启用后，超出一定长度的文本将会通过 AstrBot API 渲染成 Markdown 图片发送。可以缓解审核和消息过长刷屏的问题，并提高 Markdown 文本的可读性。",
            },
+            "t2i_word_threshold": {
+                "description": "文本转图像字数阈值",
+                "type": "int",
+                "hint": "超出此字符长度的文本将会被转换成图片。字数不能低于 50。",
+            },
            "admins_id": {
                "description": "管理员 ID",
                "type": "list",
                "items": {"type": "string"},
-                "hint": "管理员 ID 列表，管理员可以使用一些特权命令，如 `update`, `plugin` 等。ID 可以通过 `/myid` 指令获得。回车添加，可添加多个。",
+                "hint": "管理员 ID 列表，管理员可以使用一些特权命令，如 `update`, `plugin` 等。ID 可以通过 `/sid` 指令获得。回车添加，可添加多个。",
            },
            "http_proxy": {
                "description": "HTTP 代理",
@@ -773,7 +1030,8 @@ CONFIG_METADATA_2 = {
            "plugin_repo_mirror": {
                "description": "插件仓库镜像",
                "type": "string",
-                "hint": "插件仓库的镜像地址，用于加速插件的下载。",
+                "hint": "已废弃，请使用管理面板->设置页的代理地址选择",
+                "obvious_hint": True,
                "options": [
                    "default",
                    "https://ghp.ci/",
--- a/astrbot/core/conversation_mgr.py
+++ b/astrbot/core/conversation_mgr.py
@@ -0,0 +1,119 @@
+import uuid
+import json
+import asyncio
+from astrbot.core import sp
+from typing import Dict, List
+from astrbot.core.db import BaseDatabase
+from astrbot.core.db.po import Conversation
+
+class ConversationManager():
+    '''负责管理会话与 LLM 的对话，某个会话当前正在用哪个对话。'''
+    def __init__(self, db_helper: BaseDatabase):
+        self.session_conversations: Dict[str, str] = sp.get("session_conversation", {})
+        self.db = db_helper
+        self.save_interval = 60  # 每 60 秒保存一次
+        self._start_periodic_save()
+                
+    def _start_periodic_save(self):
+        asyncio.create_task(self._periodic_save())
+
+    async def _periodic_save(self):
+        while True:
+            await asyncio.sleep(self.save_interval)
+            self._save_to_storage()
+
+    def _save_to_storage(self):
+        sp.put("session_conversation", self.session_conversations)
+
+    async def new_conversation(self, unified_msg_origin: str) -> str:
+        '''新建对话，并将当前会话的对话转移到新对话'''
+        conversation_id = str(uuid.uuid4())
+        self.db.new_conversation(
+            user_id=unified_msg_origin,
+            cid=conversation_id
+        )
+        self.session_conversations[unified_msg_origin] = conversation_id
+        sp.put("session_conversation", self.session_conversations)
+        return conversation_id
+    
+    async def switch_conversation(self, unified_msg_origin: str, conversation_id: str):
+        '''切换会话的对话'''
+        self.session_conversations[unified_msg_origin] = conversation_id
+        sp.put("session_conversation", self.session_conversations)
+        
+    async def delete_conversation(self, unified_msg_origin: str, conversation_id: str=None):
+        '''删除会话的对话，当 conversation_id 为 None 时删除会话当前的对话'''
+        conversation_id = self.session_conversations.get(unified_msg_origin)
+        if conversation_id:
+            self.db.delete_conversation(
+                user_id=unified_msg_origin,
+                cid=conversation_id
+            )
+            del self.session_conversations[unified_msg_origin]
+            sp.put("session_conversation", self.session_conversations)
+            
+    async def get_curr_conversation_id(self, unified_msg_origin: str) -> str:
+        '''获取会话当前的对话 ID'''
+        return self.session_conversations.get(unified_msg_origin, None)
+    
+    async def get_conversation(self, unified_msg_origin: str, conversation_id: str) -> Conversation:
+        '''获取会话的对话'''
+        return self.db.get_conversation_by_user_id(unified_msg_origin, conversation_id)
+    
+    async def get_conversations(self, unified_msg_origin: str) -> List[Conversation]:
+        '''获取会话的所有对话'''
+        return self.db.get_conversations(unified_msg_origin)
+    
+    async def update_conversation(self, unified_msg_origin: str, conversation_id: str, history: List[Dict]):
+        '''更新会话的对话'''
+        if conversation_id:
+            self.db.update_conversation(
+                user_id=unified_msg_origin,
+                cid=conversation_id,
+                history=json.dumps(history)
+            )
+            
+    async def update_conversation_title(self, unified_msg_origin: str, title: str):
+        '''更新会话的对话标题'''
+        conversation_id = self.session_conversations.get(unified_msg_origin)
+        if conversation_id:
+            self.db.update_conversation_title(
+                user_id=unified_msg_origin,
+                cid=conversation_id,
+                title=title
+            )
+    
+    async def update_conversation_persona_id(self, unified_msg_origin: str, persona_id: str):
+        '''更新会话的对话 Persona ID'''
+        conversation_id = self.session_conversations.get(unified_msg_origin)
+        if conversation_id:
+            self.db.update_conversation_persona_id(
+                user_id=unified_msg_origin,
+                cid=conversation_id,
+                persona_id=persona_id
+            )
+            
+    async def get_human_readable_context(self, unified_msg_origin, conversation_id, page=1, page_size=10):
+        conversation = await self.get_conversation(unified_msg_origin, conversation_id)
+        history = json.loads(conversation.history)
+
+        contexts = []
+        temp_contexts = []
+        for record in history:
+            if record['role'] == "user":
+                temp_contexts.append(f"User: {record['content']}")
+            elif record['role'] == "assistant":
+                temp_contexts.append(f"Assistant: {record['content']}")
+                contexts.insert(0, temp_contexts)
+                temp_contexts = []
+
+        # 展平 contexts 列表
+        contexts = [item for sublist in contexts for item in sublist]
+
+        # 计算分页
+        paged_contexts = contexts[(page-1)*page_size:page*page_size]
+        total_pages = len(contexts) // page_size
+        if len(contexts) % page_size != 0:
+            total_pages += 1
+        
+        return paged_contexts, total_pages
--- a/astrbot/core/core_lifecycle.py
+++ b/astrbot/core/core_lifecycle.py
@@ -18,17 +18,17 @@ from astrbot.core.updator import AstrBotUpdator
 from astrbot.core import logger
 from astrbot.core.config.default import VERSION
 from astrbot.core.rag.knowledge_db_mgr import KnowledgeDBManager
-
+from astrbot.core.conversation_mgr import ConversationManager
 class AstrBotCoreLifecycle:
    def __init__(self, log_broker: LogBroker, db: BaseDatabase):
        self.log_broker = log_broker
        self.astrbot_config = astrbot_config
        self.db = db
        
-        if self.astrbot_config['http_proxy']:
-            os.environ['https_proxy'] = self.astrbot_config['http_proxy']
-            os.environ['http_proxy'] = self.astrbot_config['http_proxy']
-    
+        os.environ['https_proxy'] = self.astrbot_config['http_proxy']
+        os.environ['http_proxy'] = self.astrbot_config['http_proxy']
+        os.environ['no_proxy'] = 'localhost'
+        
    async def initialize(self):
        logger.info("AstrBot v"+ VERSION)
        if os.environ.get("TESTING", ""):
@@ -44,12 +44,15 @@ class AstrBotCoreLifecycle:
        
        self.knowledge_db_manager = KnowledgeDBManager(self.astrbot_config)
        
+        self.conversation_manager = ConversationManager(self.db)
+        
        self.star_context = Context(
            self.event_queue, 
            self.astrbot_config, 
            self.db,
            self.provider_manager,
            self.platform_manager,
+            self.conversation_manager,
            self.knowledge_db_manager
        )
        self.plugin_manager = PluginManager(self.star_context, self.astrbot_config)
@@ -60,9 +63,6 @@ class AstrBotCoreLifecycle:
        await self.provider_manager.initialize()
        '''根据配置实例化各个 Provider'''
        
-        await self.platform_manager.initialize()
-        '''根据配置实例化各个平台适配器'''
-
        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'''
@@ -71,19 +71,18 @@ class AstrBotCoreLifecycle:
        self.event_bus = EventBus(self.event_queue, self.pipeline_scheduler)
        self.start_time = int(time.time())
        self.curr_tasks: List[asyncio.Task] = []
-
+        
+        await self.platform_manager.initialize()
+        '''根据配置实例化各个平台适配器'''
+        
    def _load(self):
-
-        platform_tasks = self.load_platform()
        event_bus_task = asyncio.create_task(self.event_bus.dispatch(), name="event_bus")
        
        extra_tasks = []
        for task in self.star_context._register_tasks:
            extra_tasks.append(asyncio.create_task(task, name=task.__name__))
        
-        # self.curr_tasks = [event_bus_task, *platform_tasks, *extra_tasks]
-        
-        tasks_ = [event_bus_task, *platform_tasks, *extra_tasks]
+        tasks_ = [event_bus_task, *extra_tasks]
        for task in tasks_:
            self.curr_tasks.append(asyncio.create_task(self._task_wrapper(task), name=task.get_name()))
        
--- a/astrbot/core/db/init.py
+++ b/astrbot/core/db/init.py
@@ -1,7 +1,7 @@
 import abc
 from dataclasses import dataclass
 from typing import List
-from astrbot.core.db.po import Stats, LLMHistory, ATRIVision, WebChatConversation
+from astrbot.core.db.po import Stats, LLMHistory, ATRIVision, Conversation

@dataclass
 class BaseDatabase(abc.ABC):
@@ -79,25 +79,35 @@ class BaseDatabase(abc.ABC):
        raise NotImplementedError
    
    @abc.abstractmethod
-    def get_webchat_conversation_by_user_id(self, user_id: str, cid: str) -> WebChatConversation:
-        '''通过 user_id 和 cid 获取 WebChatConversation'''
+    def get_conversation_by_user_id(self, user_id: str, cid: str) -> Conversation:
+        '''通过 user_id 和 cid 获取 Conversation'''
        raise NotImplementedError
    
    @abc.abstractmethod
-    def webchat_new_conversation(self, user_id: str, cid: str):
-        '''新建 WebChatConversation'''
+    def new_conversation(self, user_id: str, cid: str):
+        '''新建 Conversation'''
        raise NotImplementedError
    
    @abc.abstractmethod
-    def get_webchat_conversations(self, user_id: str) -> List[WebChatConversation]:
+    def get_conversations(self, user_id: str) -> List[Conversation]:
        raise NotImplementedError

    @abc.abstractmethod
-    def update_webchat_conversation(self, user_id: str, cid: str, history: str):
-        '''更新 WebChatConversation'''
+    def update_conversation(self, user_id: str, cid: str, history: str):
+        '''更新 Conversation'''
        raise NotImplementedError
    
    @abc.abstractmethod
-    def delete_webchat_conversation(self, user_id: str, cid: str):
-        '''删除 WebChatConversation'''
+    def delete_conversation(self, user_id: str, cid: str):
+        '''删除 Conversation'''
+        raise NotImplementedError
+    
+    @abc.abstractmethod
+    def update_conversation_title(self, user_id: str, cid: str, title: str):
+        '''更新 Conversation 标题'''
+        raise NotImplementedError
+    
+    @abc.abstractmethod
+    def update_conversation_persona_id(self, user_id: str, cid: str, persona_id: str):
+        '''更新 Conversation Persona ID'''
        raise NotImplementedError
--- a/astrbot/core/db/po.py
+++ b/astrbot/core/db/po.py
@@ -33,16 +33,16 @@ class Stats():
    command: List[Command] = field(default_factory=list)
    llm: List[Provider] = field(default_factory=list)
    
-'''LLM 聊天时持久化的信息'''
-
@dataclass
 class LLMHistory():
+    '''LLM 聊天时持久化的信息'''
    provider_type: str
    session_id: str
    content: str
    
@dataclass
 class ATRIVision():
+    '''Deprecated'''
    id: str
    url_or_path: str
    caption: str
@@ -53,13 +53,18 @@ class ATRIVision():
    sender_nickname: str
    timestamp: int = -1
    
-    
-
@dataclass
-class WebChatConversation():
+class Conversation():
+    '''LLM 对话存储
+    
+    对于网页聊天，history 存储了包括指令、回复、图片等在内的所有消息。
+    对于其他平台的聊天，不存储非 LLM 的回复（因为考虑到已经存储在各自的平台上）。
+    '''
    user_id: str
    cid: str
    history: str = ""
+    '''字符串格式的列表。'''
    created_at: int = 0
    updated_at: int = 0
-    
+    title: str = ""
+    persona_id: str = ""
--- a/astrbot/core/db/sqlite.py
+++ b/astrbot/core/db/sqlite.py
@@ -6,7 +6,7 @@ from astrbot.core.db.po import (
    Stats,
    LLMHistory,
    ATRIVision,
-    WebChatConversation
+    Conversation
 )
 from . import BaseDatabase
 from typing import Tuple
@@ -25,6 +25,37 @@ class SQLiteDatabase(BaseDatabase):
        c = self.conn.cursor()
        c.executescript(sql)
        self.conn.commit()
+        
+        # 检查 webchat_conversation 的 title 字段是否存在
+        c.execute(
+            '''
+            PRAGMA table_info(webchat_conversation)
+            '''
+        )
+        res = c.fetchall()
+        has_title = False
+        has_persona_id = False
+        for row in res:
+            if row[1] == "title":
+                has_title = True
+            if row[1] == "persona_id":
+                has_persona_id = True
+        if not has_title:
+            c.execute(
+                '''
+                ALTER TABLE webchat_conversation ADD COLUMN title TEXT;
+                '''
+            )
+            self.conn.commit()
+        if not has_persona_id:
+            c.execute(
+                '''
+                ALTER TABLE webchat_conversation ADD COLUMN persona_id TEXT;
+                '''
+            )
+            self.conn.commit()
+            
+        c.close()
    
    def _get_conn(self, db_path: str) -> sqlite3.Connection:
        conn = sqlite3.connect(self.db_path)
@@ -202,7 +233,7 @@ class SQLiteDatabase(BaseDatabase):
        return Stats(platform, [], [])
    
    
-    def get_webchat_conversation_by_user_id(self, user_id: str, cid: str) -> WebChatConversation:
+    def get_conversation_by_user_id(self, user_id: str, cid: str) -> Conversation:
        try:
            c = self.conn.cursor()
        except sqlite3.ProgrammingError:
@@ -216,9 +247,13 @@ class SQLiteDatabase(BaseDatabase):
        
        res = c.fetchone()
        c.close()
-        return WebChatConversation(*res)
+        
+        if not res:
+            return
+        
+        return Conversation(*res)
    
-    def webchat_new_conversation(self, user_id: str, cid: str):
+    def new_conversation(self, user_id: str, cid: str):
        history = "[]"
        updated_at = int(time.time())
        created_at = updated_at
@@ -228,7 +263,7 @@ class SQLiteDatabase(BaseDatabase):
            ''', (user_id, cid, history, updated_at, created_at)
        )
        
-    def get_webchat_conversations(self, user_id: str) -> Tuple:
+    def get_conversations(self, user_id: str) -> Tuple:
        try:
            c = self.conn.cursor()
        except sqlite3.ProgrammingError:
@@ -236,7 +271,7 @@ class SQLiteDatabase(BaseDatabase):
            
        c.execute(
            '''
-            SELECT cid, created_at, updated_at FROM webchat_conversation WHERE user_id = ? ORDER BY updated_at DESC
+            SELECT cid, created_at, updated_at, title, persona_id FROM webchat_conversation WHERE user_id = ? ORDER BY updated_at DESC
            ''', (user_id,)
        )
        
@@ -247,24 +282,42 @@ class SQLiteDatabase(BaseDatabase):
            cid = row[0]
            created_at = row[1]
            updated_at = row[2]
-            conversations.append(WebChatConversation("", cid, '[]', created_at, updated_at))
+            title = row[3]
+            persona_id = row[4]
+            conversations.append(Conversation("", cid, '[]', created_at, updated_at, title, persona_id))
        return conversations
    
-    def update_webchat_conversation(self, user_id: str, cid: str, history: str):
+    def update_conversation(self, user_id: str, cid: str, history: str):
+        '''更新对话，并且同时更新时间'''
+        updated_at = int(time.time())
        self._exec_sql(
            '''
-            UPDATE webchat_conversation SET history = ? WHERE user_id = ? AND cid = ?
-            ''', (history, user_id, cid)
+            UPDATE webchat_conversation SET history = ?, updated_at = ? WHERE user_id = ? AND cid = ?
+            ''', (history, updated_at, user_id, cid)
+        )
+        
+        
+    def update_conversation_title(self, user_id: str, cid: str, title: str):
+        self._exec_sql(
+            '''
+            UPDATE webchat_conversation SET title = ? WHERE user_id = ? AND cid = ?
+            ''', (title, user_id, cid)
+        )
+        
+    def update_conversation_persona_id(self, user_id: str, cid: str, persona_id: str):
+        self._exec_sql(
+            '''
+            UPDATE webchat_conversation SET persona_id = ? WHERE user_id = ? AND cid = ?
+            ''', (persona_id, user_id, cid)
        )
    
-    def delete_webchat_conversation(self, user_id: str, cid: str):
+    def delete_conversation(self, user_id: str, cid: str):
        self._exec_sql(
            '''
            DELETE FROM webchat_conversation WHERE user_id = ? AND cid = ?
            ''', (user_id, cid)
        )

-
    def insert_atri_vision_data(self, vision: ATRIVision):
        ts = int(time.time())
        keywords = ",".join(vision.keywords)
--- a/astrbot/core/db/sqlite_init.sql
+++ b/astrbot/core/db/sqlite_init.sql
@@ -42,5 +42,7 @@ CREATE TABLE IF NOT EXISTS webchat_conversation(
    cid TEXT,
    history TEXT,
    created_at INTEGER,
-    updated_at INTEGER
+    updated_at INTEGER,
+    title TEXT,
+    persona_id TEXT
 );
--- a/astrbot/core/log.py
+++ b/astrbot/core/log.py
@@ -7,7 +7,7 @@ from typing import List

 CACHED_SIZE = 200
 log_color_config = {
-    'DEBUG': 'bold_blue', 'INFO': 'bold_cyan',
+    'DEBUG': 'green', 'INFO': 'bold_cyan',
    'WARNING': 'bold_yellow', 'ERROR': 'red',
    'CRITICAL': 'bold_red', 'RESET': 'reset',
    'asctime': 'green'
@@ -58,7 +58,7 @@ class LogManager:
        console_handler = logging.StreamHandler()
        console_handler.setLevel(logging.DEBUG)
        console_formatter = colorlog.ColoredFormatter(
-            fmt='%(log_color)s [%(asctime)s| %(levelname)s] [%(filename)s:%(lineno)d]: %(message)s %(reset)s',
+            fmt='%(log_color)s [%(asctime)s] [%(levelname)-5s] [%(filename)s:%(lineno)d]: %(message)s %(reset)s',
            datefmt='%H:%M:%S',
            log_colors=log_color_config
        )
--- a/astrbot/core/message/components.py
+++ b/astrbot/core/message/components.py
@@ -30,11 +30,19 @@ from enum import Enum
 from pydantic.v1 import BaseModel

 class ComponentType(Enum):
-    Plain = "Plain"
-    Face = "Face"
-    Record = "Record"
-    Video = "Video"
-    At = "At"
+    Plain = "Plain" # 纯文本消息
+    Face = "Face" # QQ表情
+    Record = "Record" # 语音
+    Video = "Video" # 视频
+    At = "At" # At
+    Node = "Node" # 转发消息的一个节点
+    Nodes = "Nodes" # 转发消息的多个节点
+    Poke = "Poke" # QQ 戳一戳
+    Image = "Image" # 图片
+    Reply = "Reply" # 回复
+    Forward = "Forward" # 转发消息
+    File = "File" # 文件
+    
    RPS = "RPS"  # TODO
    Dice = "Dice"  # TODO
    Shake = "Shake"  # TODO
@@ -43,18 +51,12 @@ class ComponentType(Enum):
    Contact = "Contact"  # TODO
    Location = "Location"  # TODO
    Music = "Music"
-    Image = "Image"
-    Reply = "Reply"
    RedBag = "RedBag"
-    Poke = "Poke"
-    Forward = "Forward"
-    Node = "Node"
    Xml = "Xml"
    Json = "Json"
    CardImage = "CardImage"
    TTS = "TTS"
    Unknown = "Unknown"
-    File = "File"


 class BaseMessageComponent(BaseModel):
@@ -325,11 +327,13 @@ class RedBag(BaseMessageComponent):


 class Poke(BaseMessageComponent):
-    type: ComponentType = "Poke"
-    qq: int
+    type: str = ""
+    id: T.Optional[int] = 0
+    qq: T.Optional[int] = 0

-    def __init__(self, **_):
-        super().__init__(**_)
+    def __init__(self, type: str, **_):
+        type = f"Poke:{type}"
+        super().__init__(type=type, **_)


 class Forward(BaseMessageComponent):
@@ -339,14 +343,14 @@ class Forward(BaseMessageComponent):
    def __init__(self, **_):
        super().__init__(**_)

-
-class Node(BaseMessageComponent):  # 该 component 仅支持使用 sendGroupForwardMessage 发送
+class Node(BaseMessageComponent):
+    '''群合并转发消息'''
    type: ComponentType = "Node"
-    id: T.Optional[int] = 0
-    name: T.Optional[str] = ""
-    uin: T.Optional[int] = 0
-    content: T.Optional[T.Union[str, list]] = ""
-    seq: T.Optional[T.Union[str, list]] = ""  # 不清楚是什么
+    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
+    seq: T.Optional[T.Union[str, list]] = "" # 忽略
    time: T.Optional[int] = 0

    def __init__(self, content: T.Union[str, list], **_):
@@ -360,6 +364,18 @@ class Node(BaseMessageComponent):  # 该 component 仅支持使用 sendGroupForw
    def toString(self):
        # logger.warn("Protocol: node doesn't support stringify")
        return ""
+    
+class Nodes(BaseMessageComponent):
+    type: ComponentType = "Nodes"
+    nodes: T.List[Node]
+    
+    def __init__(self, nodes: T.List[Node], **_):
+        super().__init__(nodes=nodes, **_)
+        
+    def toDict(self):
+        return {
+            "messages": [node.toDict() for node in self.nodes]
+        }


 class Xml(BaseMessageComponent):
@@ -449,6 +465,7 @@ ComponentTypes = {
    "poke": Poke,
    "forward": Forward,
    "node": Node,
+    "nodes": Nodes,
    "xml": Xml,
    "json": Json,
    "cardimage": CardImage,
--- a/astrbot/core/pipeline/init.py
+++ b/astrbot/core/pipeline/init.py
@@ -2,6 +2,7 @@ from astrbot.core.message.message_event_result import MessageEventResult, EventR

 from .waking_check.stage import WakingCheckStage
 from .whitelist_check.stage import WhitelistCheckStage
+from .rate_limit_check.stage import RateLimitStage
 from .content_safety_check.stage import ContentSafetyCheckStage
 from .preprocess_stage.stage import PreProcessStage
 from .process_stage.stage import ProcessStage
@@ -11,7 +12,7 @@ from .respond.stage import RespondStage
 STAGES_ORDER = [
    "WakingCheckStage", # 检查是否需要唤醒
    "WhitelistCheckStage", # 检查是否在群聊/私聊白名单
-    "RateLimitCheckStage", # 检查会话是否超过频率限制
+    "RateLimitStage", # 检查会话是否超过频率限制
    "ContentSafetyCheckStage", # 检查内容安全
    "PreProcessStage", # 预处理
    "ProcessStage", # 交由 Stars 处理（a.k.a 插件），或者 LLM 调用
@@ -22,6 +23,7 @@ STAGES_ORDER = [
 __all__ = [
    "WakingCheckStage",
    "WhitelistCheckStage",
+    "RateLimitStage",
    "ContentSafetyCheckStage",
    "PreProcessStage",
    "ProcessStage",
--- a/astrbot/core/pipeline/content_safety_check/stage.py
+++ b/astrbot/core/pipeline/content_safety_check/stage.py
@@ -17,12 +17,14 @@ class ContentSafetyCheckStage(Stage):
        config = ctx.astrbot_config['content_safety']
        self.strategy_selector = StrategySelector(config)

-    async def process(self, event: AstrMessageEvent) -> Union[None, AsyncGenerator[None, None]]:
+    async def process(self, event: AstrMessageEvent, check_text: str = None) -> Union[None, AsyncGenerator[None, None]]:
        '''检查内容安全'''
-        ok, info = self.strategy_selector.check(event.get_message_str())
+        text = check_text if check_text else event.get_message_str()
+        ok, info = self.strategy_selector.check(text)
        if not ok:
-            event.set_result(MessageEventResult().message("你的消息中包含不适当的内容，已被屏蔽。"))
+            if event.is_at_or_wake_command:
+                event.set_result(MessageEventResult().message("你的消息或者大模型的响应中包含不适当的内容，已被屏蔽。"))
+                yield 
            event.stop_event()
            logger.info(f"内容安全检查不通过，原因：{info}")
            return
-        event.continue_event()
--- a/astrbot/core/pipeline/process_stage/method/dify_request.py
+++ b/astrbot/core/pipeline/process_stage/method/dify_request.py
@@ -1,64 +0,0 @@
-'''
-Dify 调用 Stage
-'''
-import traceback
-from typing import Union, AsyncGenerator
-from ...context import PipelineContext
-from ..stage import Stage
-from astrbot.core.platform.astr_message_event import AstrMessageEvent
-from astrbot.core.message.message_event_result import MessageEventResult, ResultContentType
-from astrbot.core.message.components import Image
-from astrbot.core import logger
-from astrbot.core.utils.metrics import Metric
-from astrbot.core.provider.entites import ProviderRequest
-
-class DifyRequestSubStage(Stage):
-    
-    async def initialize(self, ctx: PipelineContext) -> None:
-        self.ctx = ctx
-        
-    async def process(self, event: AstrMessageEvent) -> Union[None, AsyncGenerator[None, None]]:
-        req: ProviderRequest = None
-        
-        provider = self.ctx.plugin_manager.context.get_using_provider()
-        
-        if not provider:
-            return
-        
-        if provider.meta().type != "dify":
-            return
-        
-        if event.get_extra("provider_request"):
-            req = event.get_extra("provider_request")
-            assert isinstance(req, ProviderRequest), "provider_request 必须是 ProviderRequest 类型。"
-        else:
-            req = ProviderRequest(prompt="", image_urls=[])
-            if self.ctx.astrbot_config['provider_settings']['wake_prefix']:
-                if not event.message_str.startswith(self.ctx.astrbot_config['provider_settings']['wake_prefix']):
-                    return
-            req.prompt = event.message_str[len(self.ctx.astrbot_config['provider_settings']['wake_prefix']):]
-            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)
-            req.session_id = event.session_id
-            event.set_extra("provider_request", req)
-            
-        if not req.prompt:
-            return
-            
-        try:
-            logger.debug(f"Dify 请求 Payload: {req.__dict__}")
-            llm_response = await provider.text_chat(**req.__dict__) # 请求 LLM
-            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))
-                yield # rick roll
-
-        except BaseException as e:
-            logger.error(traceback.format_exc())
-            event.set_result(MessageEventResult().message("AstrBot 请求 Dify 失败：" + str(e)))
-            return
--- a/astrbot/core/pipeline/process_stage/method/llm_request.py
+++ b/astrbot/core/pipeline/process_stage/method/llm_request.py
@@ -2,6 +2,7 @@
 本地 Agent 模式的 LLM 调用 Stage
 '''
 import traceback
+import json
 from typing import Union, AsyncGenerator
 from ...context import PipelineContext
 from ..stage import Stage
@@ -10,8 +11,9 @@ from astrbot.core.message.message_event_result import MessageEventResult, Result
 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
+from astrbot.core.provider.entites import ProviderRequest, LLMResponse
 from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star import star_map

 class LLMRequestSubStage(Stage):
    
@@ -24,6 +26,8 @@ class LLMRequestSubStage(Stage):
            if self.provider_wake_prefix.startswith(bwp):
                logger.info(f"识别 LLM 聊天额外唤醒前缀 {self.provider_wake_prefix} 以机器人唤醒前缀 {bwp} 开头，已自动去除。")
                self.provider_wake_prefix = self.provider_wake_prefix[len(bwp):]
+                
+        self.conv_manager = ctx.plugin_manager.context.conversation_manager
        
    async def process(self, event: AstrMessageEvent, _nested: bool = False) -> Union[None, AsyncGenerator[None, None]]:
        req: ProviderRequest = None
@@ -46,36 +50,60 @@ class LLMRequestSubStage(Stage):
                if isinstance(comp, Image):
                    image_url = comp.url if comp.url else comp.file
                    req.image_urls.append(image_url)
-            req.session_id = event.session_id
+            
+            # 获取对话上下文
+            conversation_id = await self.conv_manager.get_curr_conversation_id(event.unified_msg_origin)
+            if not conversation_id:
+                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)
+            req.conversation = conversation
+            req.contexts = json.loads(conversation.history)
+
            event.set_extra("provider_request", req)
-            session_provider_context = provider.session_memory.get(event.session_id)
-            req.contexts = session_provider_context if session_provider_context else []
            
        if not req.prompt and not req.image_urls:
            return
            
-        # 执行请求 LLM 前事件。
+        # 执行请求 LLM 前事件钩子。
        # 装饰 system_prompt 等功能
        handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnLLMRequestEvent)
        for handler in handlers:
            try:
+                logger.debug(f"hook(on_llm_request) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}")
                await handler.handler(event, req)
            except BaseException:
                logger.error(traceback.format_exc())
+                
+            if event.is_stopped():
+                logger.info(f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。")
+                return
+                
+        if isinstance(req.contexts, str):
+            req.contexts = json.loads(req.contexts)
        
        try:
-            logger.debug(f"提供商请求 Payload: {req.__dict__}")
+            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
            
-            # 执行 LLM 响应后的事件。
+            # 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
+               
+            
+            # 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)

@@ -83,6 +111,8 @@ class LLMRequestSubStage(Stage):
                # 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 = {}
@@ -93,10 +123,10 @@ class LLMRequestSubStage(Stage):
                        # 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:
+                            if resp is not None: # 有 return 返回
                                function_calling_result[func_tool_name] = resp
                            else:
-                                yield
+                                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())
@@ -111,8 +141,34 @@ class LLMRequestSubStage(Stage):
                    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(MessageEventResult().message(f"AstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {str(e)}"))
-            return
+            return
+        
+    async def _save_to_history(self, event: AstrMessageEvent, req: ProviderRequest, llm_response: LLMResponse):
+        if not req or not req.conversation or not llm_response:
+            return
+        
+        if llm_response.role == "assistant":
+            # 文本回复
+            contexts = req.contexts
+            new_record = {
+                "role": "user",
+                "content": req.prompt
+            }
+            contexts.append(new_record)
+            contexts.append({
+                "role": "assistant",
+                "content": llm_response.completion_text
+            })
+            contexts_to_save = list(filter(lambda item: '_no_save' not in item, contexts))
+            await self.conv_manager.update_conversation(
+                event.unified_msg_origin, 
+                req.conversation.cid, 
+                history=contexts_to_save
+            )
--- a/astrbot/core/pipeline/process_stage/method/star_request.py
+++ b/astrbot/core/pipeline/process_stage/method/star_request.py
@@ -28,10 +28,8 @@ class StarRequestSubStage(Stage):
            params = handlers_parsed_params.get(handler.handler_full_name, {})
            try:
                if handler.handler_module_path not in star_map:
-                    # 孤立无援的 star handler 
                    continue
-                
-                logger.debug(f"执行 Star Handler {handler.handler_full_name}")
+                logger.debug(f"plugin -> {star_map.get(handler.handler_module_path).name} - {handler.handler_name}")
                wrapper = self._call_handler(self.ctx, event, handler.handler, **params)
                async for ret in wrapper:
                    yield ret
--- a/astrbot/core/pipeline/process_stage/stage.py
+++ b/astrbot/core/pipeline/process_stage/stage.py
@@ -3,7 +3,6 @@ from ..stage import Stage, register_stage
 from ..context import PipelineContext
 from .method.llm_request import LLMRequestSubStage
 from .method.star_request import StarRequestSubStage
-from .method.dify_request import DifyRequestSubStage
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.star.star_handler import StarHandlerMetadata
 from astrbot.core.provider.entites import ProviderRequest
@@ -21,9 +20,6 @@ class ProcessStage(Stage):
        
        self.star_request_sub_stage = StarRequestSubStage()
        await self.star_request_sub_stage.initialize(ctx)
-        
-        self.dify_request_sub_stage = DifyRequestSubStage()
-        await self.dify_request_sub_stage.initialize(ctx)

    async def process(self, event: AstrMessageEvent) -> Union[None, AsyncGenerator[None, None]]:
        '''处理事件
@@ -35,7 +31,6 @@ class ProcessStage(Stage):
                # 生成器返回值处理
                if isinstance(resp, ProviderRequest):
                    # Handler 的 LLM 请求
-                    logger.debug(f"llm request -> {resp.prompt}")
                    event.set_extra("provider_request", resp)
                    _t = False
                    async for _ in self.llm_request_sub_stage.process(event):
@@ -46,22 +41,19 @@ class ProcessStage(Stage):
                else:
                    yield
        
-        # 调用提供商相关请求
+        # 调用 LLM 相关请求
        if not self.ctx.astrbot_config['provider_settings'].get('enable', True):
            return
        
-        if not event._has_send_oper and event.is_at_or_wake_command:
+        if not event._has_send_oper and event.is_at_or_wake_command and not event.call_llm:
+            # 是否有过发送操作 and 是否是被 @ 或者通过唤醒前缀
            if (event.get_result() and not event.get_result().is_stopped()) or not event.get_result():
+                # 事件没有终止传播
                provider = self.ctx.plugin_manager.context.get_using_provider()
                
                if not provider:
                    logger.info("未找到可用的 LLM 提供商，请先前往配置服务提供商。")
                    return
                
-                match provider.meta().type:
-                    case "dify":
-                        async for _ in self.dify_request_sub_stage.process(event):
-                            yield
-                    case _:
-                        async for _ in self.llm_request_sub_stage.process(event):
-                            yield
+                async for _ in self.llm_request_sub_stage.process(event):
+                    yield
--- a/astrbot/core/pipeline/rate_limit_check/stage.py
+++ b/astrbot/core/pipeline/rate_limit_check/stage.py
@@ -61,19 +61,18 @@ class RateLimitStage(Stage):
                stall_duration = (next_window_time - now).total_seconds()
                
                match self.rl_strategy:
-                    case RateLimitStrategy.STALL:
+                    case RateLimitStrategy.STALL.value:
                        logger.info(f"会话 {session_id} 被限流。根据限流策略，此会话处理将被暂停 {stall_duration:.2f} 秒。")
                        await asyncio.sleep(stall_duration)
-                    case RateLimitStrategy.DISCARD:
-                        event.set_result(MessageEventResult().message(f"会话 {session_id} 被限流。根据限流策略，此请求已被丢弃，直到您的限额于 {stall_duration:.2f} 秒后重置。"))
+                    case RateLimitStrategy.DISCARD.value:
+                        # event.set_result(MessageEventResult().message(f"会话 {session_id} 被限流。根据限流策略，此请求已被丢弃，直到您的限额于 {stall_duration:.2f} 秒后重置。"))
+                        logger.info(f"会话 {session_id} 被限流。根据限流策略，此请求已被丢弃，直到限额于 {stall_duration:.2f} 秒后重置。")
                        return event.stop_event()
                
                self._remove_expired_timestamps(timestamps, now + timedelta(seconds=stall_duration))

            timestamps.append(now)

-        return event.continue_event()
-
    def _remove_expired_timestamps(self, timestamps: Deque[datetime], now: datetime) -> None:
        """
        移除时间窗口外的时间戳。
--- a/astrbot/core/pipeline/respond/stage.py
+++ b/astrbot/core/pipeline/respond/stage.py
@@ -1,21 +1,31 @@
 import random
 import asyncio
+import math
+import traceback
 from typing import Union, AsyncGenerator
 from ..stage import register_stage, Stage
 from ..context import PipelineContext
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.message.message_event_result import MessageChain
 from astrbot.core import logger
+from astrbot.core.message.message_event_result import BaseMessageComponent
 from astrbot.core.star.star_handler import star_handlers_registry, EventType
-
+from astrbot.core.star.star import star_map
+from astrbot.core.message.components import Plain, Reply, At
@register_stage
 class RespondStage(Stage):
    async def initialize(self, ctx: PipelineContext):
        self.ctx = ctx
        
+        self.reply_with_mention = ctx.astrbot_config['platform_settings']['reply_with_mention']
+        self.reply_with_quote = ctx.astrbot_config['platform_settings']['reply_with_quote']
+        
        # 分段回复
        self.enable_seg: bool = ctx.astrbot_config['platform_settings']['segmented_reply']['enable']
        self.only_llm_result = ctx.astrbot_config['platform_settings']['segmented_reply']['only_llm_result']
+        
+        self.interval_method = ctx.astrbot_config['platform_settings']['segmented_reply']['interval_method']
+        self.log_base = float(ctx.astrbot_config['platform_settings']['segmented_reply']['log_base'])
        interval_str: str = ctx.astrbot_config['platform_settings']['segmented_reply']['interval']
        interval_str_ls = interval_str.replace(" ", "").split(",")
        try:
@@ -24,7 +34,27 @@ class RespondStage(Stage):
            logger.error(f'解析分段回复的间隔时间失败。{e}')
            self.interval = [1.5, 3.5]
        logger.info(f"分段回复间隔时间：{self.interval}")
-
+        
+    async def _word_cnt(self, text: str) -> int:
+        '''分段回复 统计字数'''
+        if all(ord(c) < 128 for c in text):
+            word_count = len(text.split())
+        else:
+            word_count = len([c for c in text if c.isalnum()])
+        return word_count
+    
+    async def _calc_comp_interval(self, comp: BaseMessageComponent) -> float:
+        '''分段回复 计算间隔时间'''
+        if self.interval_method == 'log':
+            if isinstance(comp, Plain):
+                wc = await self._word_cnt(comp.text)
+                i = math.log(wc + 1, self.log_base)
+                return random.uniform(i, i + 0.5)
+            else:
+                return random.uniform(1, 1.75)
+        else:
+            # random
+            return random.uniform(self.interval[0], self.interval[1])

    async def process(self, event: AstrMessageEvent) -> Union[None, AsyncGenerator[None, None]]:
        result = event.get_result()
@@ -35,10 +65,24 @@ class RespondStage(Stage):
            await event._pre_send()
            
            if self.enable_seg and ((self.only_llm_result and result.is_llm_result()) or not self.only_llm_result):
+                decorated_comps = []
+                if self.reply_with_mention:
+                    for comp in result.chain:
+                        if isinstance(comp, At):
+                            decorated_comps.append(comp)
+                            result.chain.remove(comp)
+                            break
+                if self.reply_with_quote:
+                    for comp in result.chain:
+                        if isinstance(comp, Reply):
+                            decorated_comps.append(comp)
+                            result.chain.remove(comp)
+                            break
                # 分段回复
                for comp in result.chain:
-                    await event.send(MessageChain([comp]))
-                    await asyncio.sleep(random.uniform(self.interval[0], self.interval[1]))
+                    i = await self._calc_comp_interval(comp)
+                    await asyncio.sleep(i)
+                    await event.send(MessageChain([*decorated_comps, comp]))
            else:
                await event.send(result)
            await event._post_send()
@@ -46,7 +90,14 @@ class RespondStage(Stage):
        
        handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnAfterMessageSentEvent)
        for handler in handlers:
-            # TODO: 如何让这里的 handler 也能使用 LLM 能力。也许需要将 LLMRequestSubStage 提取出来。
-            await handler.handler(event)
+            try:
+                logger.debug(f"hook(on_after_message_sent) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}")
+                await handler.handler(event)
+            except BaseException:
+                logger.error(traceback.format_exc())
+                
+            if event.is_stopped():
+                logger.info(f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。")
+                return
            
        event.clear_result()
--- a/astrbot/core/pipeline/result_decorate/stage.py
+++ b/astrbot/core/pipeline/result_decorate/stage.py
@@ -2,39 +2,84 @@ import time
 import re
 import traceback
 from typing import Union, AsyncGenerator
-from ..stage import register_stage
+from ..stage import Stage, register_stage, registered_stages
 from ..context import PipelineContext
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.platform.message_type import MessageType
 from astrbot.core import logger
-from astrbot.core.message.components import Plain, Image, At, Reply, Record
+from astrbot.core.message.components import Plain, Image, At, Reply, Record, File, Node
 from astrbot.core import html_renderer
 from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star import star_map

@register_stage
-class ResultDecorateStage:
+class ResultDecorateStage(Stage):
    async def initialize(self, ctx: PipelineContext):
        self.ctx = ctx
        self.reply_prefix = ctx.astrbot_config['platform_settings']['reply_prefix']
        self.reply_with_mention = ctx.astrbot_config['platform_settings']['reply_with_mention']
        self.reply_with_quote = ctx.astrbot_config['platform_settings']['reply_with_quote']
-        self.use_tts = ctx.astrbot_config['provider_tts_settings']['enable']
+        self.t2i_word_threshold = ctx.astrbot_config['t2i_word_threshold']
+        try:
+            self.t2i_word_threshold = int(self.t2i_word_threshold)
+            if self.t2i_word_threshold < 50:
+                self.t2i_word_threshold = 50
+        except BaseException:
+            self.t2i_word_threshold = 150
+            
+        self.forward_threshold = ctx.astrbot_config['platform_settings']['forward_threshold']
        
        # 分段回复
+        self.words_count_threshold = int(ctx.astrbot_config['platform_settings']['segmented_reply']['words_count_threshold'])
        self.enable_segmented_reply = ctx.astrbot_config['platform_settings']['segmented_reply']['enable']
        self.only_llm_result = ctx.astrbot_config['platform_settings']['segmented_reply']['only_llm_result']
        self.regex = ctx.astrbot_config['platform_settings']['segmented_reply']['regex']
+        self.content_cleanup_rule = ctx.astrbot_config['platform_settings']['segmented_reply']['content_cleanup_rule']

+        
+        # exception
+        self.content_safe_check_reply = ctx.astrbot_config['content_safety']['also_use_in_response']
+        self.content_safe_check_stage = None
+        if self.content_safe_check_reply:
+            for stage in registered_stages:
+                if stage.__class__.__name__ == "ContentSafetyCheckStage":
+                    self.content_safe_check_stage = stage
+                    
+            
    async def process(self, event: AstrMessageEvent) -> Union[None, AsyncGenerator[None, None]]:
+        result = event.get_result()
+        if result is None or not result.chain:
+            return
+        
+        # 回复时检查内容安全
+        if self.content_safe_check_reply and self.content_safe_check_stage and result.is_llm_result():
+            text = ""
+            for comp in result.chain:
+                if isinstance(comp, Plain):
+                    text += comp.text
+            async for _ in self.content_safe_check_stage.process(event, check_text=text):
+                yield
+        
+        # 发送消息前事件钩子
+        handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnDecoratingResultEvent)
+        for handler in handlers:
+            try:
+                logger.debug(f"hook(on_decorating_result) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}")
+                await handler.handler(event)
+                if event.get_result() is None or not event.get_result().chain:
+                    logger.debug(f"hook(on_decorating_result) -> {star_map[handler.handler_module_path].name} - {handler.handler_name} 将消息结果清空。")
+            except BaseException:
+                logger.error(traceback.format_exc())
+                
+            if event.is_stopped():
+                logger.info(f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。")
+                return
+            
+        # 需要再获取一次。插件可能直接对 chain 进行了替换。
        result = event.get_result()
        if result is None:
            return
        
-        handlers = star_handlers_registry.get_handlers_by_event_type(EventType.OnDecoratingResultEvent)
-        for handler in handlers:
-            # TODO: 如何让这里的 handler 也能使用 LLM 能力。也许需要将 LLMRequestSubStage 提取出来。
-            await handler.handler(event)
-        
        if len(result.chain) > 0:
            # 回复前缀
            if self.reply_prefix:
@@ -49,19 +94,28 @@ class ResultDecorateStage:
                    new_chain = []
                    for comp in result.chain:
                        if isinstance(comp, Plain):
-                            split_response = re.findall(r".*?[。？！~…]+|.+$", comp.text)
+                            if len(comp.text) > self.words_count_threshold:
+                                # 不分段回复
+                                new_chain.append(comp)
+                                continue
+                            split_response = []
+                            for line in comp.text.split("\n"):
+                                split_response.extend(re.findall(self.regex, line))
                            if not split_response:
                                new_chain.append(comp)
                                continue
                            for seg in split_response:
-                                new_chain.append(Plain(seg))
+                                if self.content_cleanup_rule:
+                                    seg = re.sub(self.content_cleanup_rule, "", seg)
+                                if seg.strip():
+                                    new_chain.append(Plain(seg))
                        else:
                            # 非 Plain 类型的消息段不分段
                            new_chain.append(comp)
                    result.chain = new_chain
                
            # TTS
-            if self.use_tts and result.is_llm_result():
+            if self.ctx.astrbot_config['provider_tts_settings']['enable'] and result.is_llm_result():
                tts_provider = self.ctx.plugin_manager.context.provider_manager.curr_tts_provider_inst
                new_chain = []
                for comp in result.chain:
@@ -76,7 +130,7 @@ class ResultDecorateStage:
                                logger.error(f"由于 TTS 音频文件没找到，消息段转语音失败: {comp.text}")
                                new_chain.append(comp)
                        except BaseException:
-                            traceback.print_exc()
+                            logger.error(traceback.format_exc())
                            logger.error("TTS 失败，使用文本发送。")
                            new_chain.append(comp)
                    else:
@@ -91,7 +145,7 @@ class ResultDecorateStage:
                        plain_str += "\n\n" + comp.text
                    else:
                        break
-                if plain_str and len(plain_str) > 150:
+                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)
@@ -103,8 +157,32 @@ class ResultDecorateStage:
                    if url:
                        result.chain = [Image.fromURL(url)]
            
-            if self.reply_with_mention and event.get_message_type() != MessageType.FRIEND_MESSAGE:
-                result.chain.insert(0, At(qq=event.get_sender_id(), name=event.get_sender_name()))
+            # 触发转发消息
+            has_forwarded = False
+            if event.get_platform_name() == 'aiocqhttp':
+                word_cnt = 0
+                for comp in result.chain:
+                    if isinstance(comp, Plain):
+                        word_cnt += len(comp.text)
+                if word_cnt > self.forward_threshold:
+                    node = Node(
+                        uin=event.get_self_id(),
+                        name="AstrBot",
+                        content=[
+                            *result.chain
+                        ]
+                    )
+                    result.chain = [node]
+                    has_forwarded = True
            
-            if self.reply_with_quote:
-                result.chain.insert(0, Reply(id=event.message_obj.message_id))
+            if not has_forwarded:
+                # at 回复
+                if self.reply_with_mention and event.get_message_type() != MessageType.FRIEND_MESSAGE:
+                    result.chain.insert(0, At(qq=event.get_sender_id(), name=event.get_sender_name()))
+                    if len(result.chain) > 1 and isinstance(result.chain[1], Plain):
+                        result.chain[1].text = "\n" + result.chain[1].text
+                
+                # 引用回复
+                if self.reply_with_quote:
+                    if not any(isinstance(item, File) for item in result.chain):
+                        result.chain.insert(0, Reply(id=event.message_obj.message_id))
--- a/astrbot/core/pipeline/scheduler.py
+++ b/astrbot/core/pipeline/scheduler.py
@@ -12,14 +12,14 @@ class PipelineScheduler():
        
    async def initialize(self):
        for stage in registered_stages:
-            logger.debug(f"初始化阶段 {stage.__class__ .__name__}")
+            # logger.debug(f"初始化阶段 {stage.__class__ .__name__}")
            
            await stage.initialize(self.ctx)
            
    async def _process_stages(self, event: AstrMessageEvent, from_stage=0):
        for i in range(from_stage, len(registered_stages)):
            stage = registered_stages[i]
-            logger.debug(f"执行阶段 {stage.__class__ .__name__}")
+            # logger.debug(f"执行阶段 {stage.__class__ .__name__}")
            coro = stage.process(event)
            if isinstance(coro, AsyncGenerator):
                async for _ in coro:
@@ -27,6 +27,9 @@ class PipelineScheduler():
                        logger.debug(f"阶段 {stage.__class__ .__name__} 已终止事件传播。")
                        break
                    await self._process_stages(event, i + 1)
+                    if event.is_stopped():
+                        logger.debug(f"阶段 {stage.__class__ .__name__} 已终止事件传播。")
+                        break
            else:
                await coro

--- a/astrbot/core/pipeline/stage.py
+++ b/astrbot/core/pipeline/stage.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 import abc
 import inspect
+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
@@ -36,16 +37,18 @@ class Stage(abc.ABC):
        ctx: PipelineContext,
        event: AstrMessageEvent, 
        handler: Awaitable,
-        **params
+        *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
        try:
-            ready_to_call = handler(event, **params)
+            ready_to_call = handler(event, *args, **kwargs)
        except TypeError as e:
            # 向下兼容
-            ready_to_call = handler(event, ctx.plugin_manager.context, **params)
+            logger.debug(str(e))
+            ready_to_call = handler(event, ctx.plugin_manager.context, *args, **kwargs)
        
        if isinstance(ready_to_call, AsyncGenerator):
            async for ret in ready_to_call:
--- a/astrbot/core/pipeline/waking_check/stage.py
+++ b/astrbot/core/pipeline/waking_check/stage.py
@@ -2,11 +2,12 @@ from ..stage import Stage, register_stage
 from ..context import PipelineContext
 from typing import Union, AsyncGenerator
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
-from astrbot.core.message.message_event_result import MessageEventResult
-from astrbot.core.message.components import At
+from astrbot.core.message.message_event_result import MessageEventResult, MessageChain
+from astrbot.core.message.components import At, Reply
 from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star import star_map
 from astrbot.core.star.filter.command_group import CommandGroupFilter
-
+from astrbot.core.star.filter.permission import PermissionTypeFilter

@register_stage
 class WakingCheckStage(Stage):
@@ -21,6 +22,9 @@ class WakingCheckStage(Stage):

    async def initialize(self, ctx: PipelineContext) -> None:
        self.ctx = ctx
+        self.no_permission_reply = self.ctx.astrbot_config["platform_settings"].get(
+            "no_permission_reply", True
+        )

    async def process(
        self, event: AstrMessageEvent
@@ -73,44 +77,39 @@ class WakingCheckStage(Stage):
        # 检查插件的 handler filter
        activated_handlers = []
        handlers_parsed_params = {}  # 注册了指令的 handler
+        
        for handler in star_handlers_registry.get_handlers_by_event_type(EventType.AdapterMessageEvent):
-            # filter 需要满足 AND 的逻辑关系
-            passed = True
-            child_command_handler_md = None
-
+            # filter 需满足 AND 逻辑关系
+            passed = True            
+            permission_not_pass = False
            if len(handler.event_filters) == 0:
-                # 不可能有这种情况, 也不允许有这种情况
                continue

            for filter in handler.event_filters:
                try:
-                    if isinstance(filter, CommandGroupFilter):
-                        """如果指令组过滤成功, 会返回叶子指令的 StarHandlerMetadata"""
-                        ok, child_command_handler_md = filter.filter(
-                            event, self.ctx.astrbot_config
-                        )
-                        if not ok:
-                            passed = False
-                        else:
-                            handler = child_command_handler_md  # handler 覆盖
-                            break
+                    if isinstance(filter, PermissionTypeFilter):
+                        if not filter.filter(event, self.ctx.astrbot_config):
+                            permission_not_pass = True
                    else:
                        if not filter.filter(event, self.ctx.astrbot_config):
                            passed = False
                            break
                except Exception as e:
-                    # event.set_result(MessageEventResult().message(f"插件 {handler.handler_full_name} 报错：{e}"))
-                    # yield
                    await event.send(
                        MessageEventResult().message(
-                            f"插件 {handler.handler_full_name} 报错：{e}"
+                            f"插件 {star_map[handler.handler_module_path].name}: {e}"
                        )
                    )
                    event.stop_event()
                    passed = False
                    break
-
            if passed:
+                if permission_not_pass:
+                    if self.no_permission_reply:
+                        await event.send(MessageChain().message(f"ID {event.get_sender_id()} 权限不足。通过 /sid 获取 ID 并请管理员添加。"))
+                    event.stop_event()
+                    return
+                
                is_wake = True
                event.is_wake = True

@@ -119,6 +118,7 @@ class WakingCheckStage(Stage):
                    handlers_parsed_params[handler.handler_full_name] = event.get_extra(
                        "parsed_params"
                    )
+                    
            event.clear_extra()

        event.set_extra("activated_handlers", activated_handlers)
--- a/astrbot/core/platform/astr_message_event.py
+++ b/astrbot/core/platform/astr_message_event.py
@@ -8,7 +8,7 @@ from typing import List, Union
 from astrbot.core.message.components import Plain, Image, BaseMessageComponent, Face, At, AtAll, Forward
 from astrbot.core.utils.metrics import Metric
 from astrbot.core.provider.entites import ProviderRequest
-
+from astrbot.core.db.po import Conversation

@dataclass
 class MessageSesion:
@@ -31,12 +31,19 @@ class AstrMessageEvent(abc.ABC):
                platform_meta: PlatformMetadata,
                session_id: str,):
        self.message_str = message_str
+        '''纯文本的消息'''
        self.message_obj = message_obj
+        '''消息对象，AstrBotMessage。带有完整的消息结构。'''
        self.platform_meta = platform_meta
+        '''消息平台的信息, 其中 name 是平台的类型，如 aiocqhttp'''
        self.session_id = session_id
+        '''用户的会话 ID。可以直接使用下面的 unified_msg_origin'''
        self.role = "member"
+        '''用户是否是管理员。如果是管理员，这里是 admin'''
        self.is_wake = False # 是否通过 WakingStage
-        self.is_at_or_wake_command = False # 是否是 At 机器人或者带有唤醒词或者是私聊（事件监听器会让 is_wake 设为 True）
+        '''是否唤醒'''
+        self.is_at_or_wake_command = False
+        '''是否是 At 机器人或者带有唤醒词或者是私聊（事件监听器会让 is_wake 设为 True，但是不会让这个属性置为 True）'''
        self._extras = {}
        self.session = MessageSesion(
            platform_name=platform_meta.name,
@@ -44,13 +51,14 @@ class AstrMessageEvent(abc.ABC):
            session_id=session_id
        )
        self.unified_msg_origin = str(self.session)
-        
+        '''统一的消息来源字符串。格式为 platform_name:message_type:session_id'''
        self._result: MessageEventResult = None
        '''消息事件的结果'''
        
        self._has_send_oper = False 
        '''是否有过至少一次发送操作'''
-        
+        self.call_llm = False
+        '''是否在此消息事件中禁止默认的 LLM 请求'''
        
        # back_compability
        self.platform = platform_meta
@@ -235,7 +243,15 @@ class AstrMessageEvent(abc.ABC):
        '''
        if self._result is None:
            return False # 默认是继续传播
-        return self._result.is_stopped()        
+        return self._result.is_stopped()     
+    
+    def should_call_llm(self, call_llm: bool):
+        '''
+        是否在此消息事件中禁止默认的 LLM 请求。
+        
+        只会阻止 AstrBot 默认的 LLM 请求链路，不会阻止插件中的 LLM 请求。
+        '''
+        self.call_llm = call_llm
        
    def get_result(self) -> MessageEventResult:
        '''
@@ -298,9 +314,10 @@ class AstrMessageEvent(abc.ABC):
        prompt: str,
        func_tool_manager = None,
        session_id: str = None,
-        image_urls: List[str] = None,
-        contexts: List = None,
-        system_prompt: str = ""
+        image_urls: List[str] = [],
+        contexts: List = [],
+        system_prompt: str = "",
+        conversation: Conversation = None
    ) -> ProviderRequest:
        '''
        创建一个 LLM 请求。
@@ -309,10 +326,12 @@ class AstrMessageEvent(abc.ABC):
        ```py
        yield event.request_llm(prompt="hi")
        ```
-        
+        prompt: 提示词
+        session_id: 已经过时，留空即可
        image_urls: 可以是 base64:// 或者 http:// 开头的图片链接，也可以是本地图片路径。
-        contexts: 当指定 contexts 时，将会**只**使用 contexts 作为上下文。
+        contexts: 当指定 contexts 时，将会使用 contexts 作为上下文。
        func_tool_manager: 函数工具管理器，用于调用函数工具。用 self.context.get_llm_tool_manager() 获取。
+        conversation: 可选。如果指定，将在指定的对话中进行 LLM 请求。对话的人格会被用于 LLM 请求，并且结果将会被记录到对话中。
        '''
        return ProviderRequest(
            prompt = prompt,
@@ -320,5 +339,6 @@ class AstrMessageEvent(abc.ABC):
            image_urls = image_urls,
            func_tool = func_tool_manager,
            contexts = contexts,
-            system_prompt = system_prompt
+            system_prompt = system_prompt,
+            conversation=conversation
        )
--- a/astrbot/core/platform/manager.py
+++ b/astrbot/core/platform/manager.py
@@ -1,3 +1,5 @@
+import traceback
+import asyncio
 from astrbot.core.config.astrbot_config import AstrBotConfig
 from .platform import Platform
 from typing import List
@@ -11,40 +13,105 @@ class PlatformManager():
        self.platform_insts: List[Platform] = []
        '''加载的 Platform 的实例'''
        
+        self._inst_map = {}
+        
        self.platforms_config = config['platform']
        self.settings = config['platform_settings']
        self.event_queue = event_queue
-        
+
+    async def initialize(self):
+        '''初始化所有平台适配器'''
        for platform in self.platforms_config:
-            if not platform['enable']:
-                continue
-            match platform['type']:
+            await self.load_platform(platform)
+        
+        # 网页聊天
+        webchat_inst = WebChatAdapter({}, self.settings, self.event_queue)
+        self.platform_insts.append(webchat_inst)
+        asyncio.create_task(self._task_wrapper(asyncio.create_task(webchat_inst.run(), name="webchat")))
+        
+    async def load_platform(self, platform_config: dict):
+        '''实例化一个平台'''
+        if not platform_config['enable']:
+            return
+        
+        logger.info(f"载入 {platform_config['type']}({platform_config['id']}) 平台适配器 ...")
+        
+        # 动态导入
+        try:
+            match platform_config['type']:
                case "aiocqhttp":
                    from .sources.aiocqhttp.aiocqhttp_platform_adapter import AiocqhttpAdapter  # noqa: F401
                case "qq_official":
                    from .sources.qqofficial.qqofficial_platform_adapter import QQOfficialPlatformAdapter # noqa: F401
-                case "vchat":
-                    try:
-                        from .sources.vchat.vchat_platform_adapter import VChatPlatformAdapter # noqa: F401
-                    except BaseException:
-                        logger.warning("当前 astrbot 已不维护 vchat 的接入，如有需要请 pip 安装 vchat 然后重启")
+                case "qq_official_webhook":
+                    from .sources.qqofficial_webhook.qo_webhook_adapter import QQOfficialWebhookPlatformAdapter # noqa: F401
                case "gewechat":
                    from .sources.gewechat.gewechat_platform_adapter import GewechatPlatformAdapter # noqa: F401
+                case "lark":
+                    from .sources.lark.lark_adapter import LarkPlatformAdapter # noqa: F401
+                case "telegram":    
+                    from .sources.telegram.tg_adapter import TelegramPlatformAdapter # noqa: F401
+        except (ImportError, ModuleNotFoundError) as e:
+            logger.error(f"加载平台适配器 {platform_config['type']} 失败，原因：{e}。请检查依赖库是否安装。提示：可以在 管理面板->控制台->安装Pip库 中安装依赖库。")
+        except Exception as e:
+            logger.error(f"加载平台适配器 {platform_config['type']} 失败，原因：{e}。")
+            
+            
+        if platform_config['type'] not in platform_cls_map:
+            logger.error(f"未找到适用于 {platform_config['type']}({platform_config['id']}) 平台适配器，请检查是否已经安装或者名称填写错误")
+            return
+        cls_type = platform_cls_map[platform_config['type']]
+        inst = cls_type(platform_config, self.settings, self.event_queue)
+        self._inst_map[platform_config['id']] = inst
+        self.platform_insts.append(inst)
        
-
-    async def initialize(self):
-        for platform in self.platforms_config:
-            if not platform['enable']:
-                continue
-            if platform['type'] not in platform_cls_map:
-                logger.error(f"未找到适用于 {platform['type']}({platform['id']}) 平台适配器，请检查是否已经安装或者名称填写错误。已跳过。")
-                continue
-            cls_type = platform_cls_map[platform['type']]
-            logger.info(f"尝试实例化 {platform['type']}({platform['id']}) 平台适配器 ...")
-            inst = cls_type(platform, self.settings, self.event_queue)
-            self.platform_insts.append(inst)
+        asyncio.create_task(self._task_wrapper(asyncio.create_task(inst.run(), name=platform_config['id'] + "_platform")))
        
-        self.platform_insts.append(WebChatAdapter({}, self.settings, self.event_queue))
+    async def _task_wrapper(self, task: asyncio.Task):
+        try:
+            await task
+        except asyncio.CancelledError:
+            pass
+        except Exception as e:
+            
+            logger.error(f"------- 任务 {task.get_name()} 发生错误: {e}")
+            for line in traceback.format_exc().split("\n"):
+                logger.error(f"|    {line}")
+            logger.error("-------")
+        
+    async def reload(self, platform_config: dict):
+        # 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.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。")
+            
+            # 再启动新的实例
+            await self.load_platform(platform_config)
                    
    def get_insts(self):
        return self.platform_insts
--- a/astrbot/core/platform/platform.py
+++ b/astrbot/core/platform/platform.py
@@ -20,6 +20,12 @@ class Platform(abc.ABC):
        '''
        raise NotImplementedError
    
+    async def terminate(self):
+        '''
+        终止一个平台的运行实例。
+        '''
+        pass
+    
    @abc.abstractmethod
    def meta(self) -> PlatformMetadata:
        '''
--- a/astrbot/core/platform/sources/aiocqhttp/aiocqhttp_message_event.py
+++ b/astrbot/core/platform/sources/aiocqhttp/aiocqhttp_message_event.py
@@ -1,9 +1,7 @@
-import os
-import random
 import asyncio

 from astrbot.api.event import AstrMessageEvent, MessageChain
-from astrbot.api.message_components import Plain, Image, Record
+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

@@ -20,7 +18,7 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
            d = segment.toDict()
            if isinstance(segment, Plain):
                d['type'] = 'text'
-            if isinstance(segment, (Image, Record)):
+            elif isinstance(segment, (Image, Record)):
                # convert to base64
                if segment.file and segment.file.startswith("file:///"):
                    bs64_data = file_to_base64(segment.file[8:])
@@ -28,17 +26,45 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
                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)
                d['data'] = {
                    'file': bs64_data,
                }
+            elif isinstance(segment, At):
+                d['data'] = {
+                    'qq': str(segment.qq) # 转换为字符串
+                }
            ret.append(d)
        return ret

    async def send(self, message: MessageChain):
        ret = await AiocqhttpMessageEvent._parse_onebot_json(message)
-        if os.environ.get('TEST_MODE', 'off') == 'on':
-            return
-        await self.bot.send(self.message_obj.raw_message, ret)
+        
+        send_one_by_one = False
+        for seg in message.chain:
+            if isinstance(seg, (Node, Nodes)):
+                # 转发消息不能和普通消息混在一起发送
+                send_one_by_one = True
+                break
+        
+        if send_one_by_one:
+            for seg in message.chain:
+                if isinstance(seg, Nodes):
+                    # 带有多个节点的合并转发消息
+                    payload = seg.toDict()
+                    if self.get_group_id():
+                        payload['group_id'] = self.get_group_id()
+                        await self.bot.call_action('send_group_forward_msg', **payload)
+                    else:
+                        payload['user_id'] = self.get_sender_id()
+                        await self.bot.call_action('send_private_forward_msg', **payload)
+                else:
+                    await self.bot.send(self.message_obj.raw_message, await AiocqhttpMessageEvent._parse_onebot_json(MessageChain([seg])))
+                    await asyncio.sleep(0.5)
+        else:
+            await self.bot.send(self.message_obj.raw_message, ret)
+        
        await super().send(message)
--- a/astrbot/core/platform/sources/aiocqhttp/aiocqhttp_platform_adapter.py
+++ b/astrbot/core/platform/sources/aiocqhttp/aiocqhttp_platform_adapter.py
@@ -2,6 +2,7 @@ import os
 import time
 import asyncio
 import logging
+import uuid
 from typing import Awaitable, Any
 from aiocqhttp import CQHttp, Event
 from astrbot.api.platform import Platform, AstrBotMessage, MessageMember, MessageType, PlatformMetadata
@@ -15,7 +16,7 @@ from ...register import register_platform_adapter
 from aiocqhttp.exceptions import ActionFailed
 from astrbot.core.utils.io import download_file

-@register_platform_adapter("aiocqhttp", "适用于 OneBot 标准的消息平台适配器，支持反向 WebSockets。")
+@register_platform_adapter("aiocqhttp", "适用于 OneBot V11 标准的消息平台适配器，支持反向 WebSockets。")
 class AiocqhttpAdapter(Platform):
    def __init__(self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue) -> None:
        super().__init__(event_queue)
@@ -31,6 +32,8 @@ 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
+        
    async def send_by_session(self, session: MessageSesion, message_chain: MessageChain):
        ret = await AiocqhttpMessageEvent._parse_onebot_json(message_chain)
        match session.message_type.value:
@@ -46,19 +49,82 @@ class AiocqhttpAdapter(Platform):
        await super().send_by_session(session, message_chain)
        
    async def convert_message(self, event: Event) -> AstrBotMessage:
+        logger.debug(f"[aiocqhttp] RawMessage {event}")
+        
+        if event['post_type'] == 'message':
+            abm = await self._convert_handle_message_event(event)
+        elif event['post_type'] == 'notice':
+            abm = await self._convert_handle_notice_event(event)
+        elif event['post_type'] == 'request':
+            abm = await self._convert_handle_request_event(event)
+        
+        return abm
+    
+    async def _convert_handle_request_event(self, event: Event) -> AstrBotMessage:
+        '''OneBot V11 请求类事件'''
        abm = AstrBotMessage()
        abm.self_id = str(event.self_id)
-        abm.tag = "aiocqhttp"
+        abm.sender = MessageMember(
+            user_id=event.user_id,
+            nickname=event.user_id
+        )
+        abm.type = MessageType.OTHER_MESSAGE
+        if 'group_id' in event and event['group_id']:
+            abm.type = MessageType.GROUP_MESSAGE
+            abm.group_id = str(event.group_id)
+        else:
+            abm.type = MessageType.FRIEND_MESSAGE
+        if self.unique_session and abm.type == MessageType.GROUP_MESSAGE:
+            abm.session_id = str(abm.sender.user_id) + "_" + str(event.group_id)
+        abm.message_str = ''
+        abm.message = []
+        abm.timestamp = int(time.time())
+        abm.message_id = uuid.uuid4().hex
+        abm.raw_message = event
+        return abm
+    
+    async def _convert_handle_notice_event(self, event: Event) -> AstrBotMessage:
+        '''OneBot V11 通知类事件'''
+        abm = AstrBotMessage()
+        abm.self_id = str(event.self_id)
+        abm.sender = MessageMember(
+            user_id=event.user_id,
+            nickname=event.user_id
+        )
+        abm.type = MessageType.OTHER_MESSAGE
+        if 'group_id' in event and event['group_id']:
+            abm.group_id = str(event.group_id)
+            abm.type = MessageType.GROUP_MESSAGE
+        else:
+            abm.type = MessageType.FRIEND_MESSAGE    
+        if self.unique_session and abm.type == MessageType.GROUP_MESSAGE:
+            abm.session_id = abm.sender.user_id + "_" + str(event.group_id) # 也保留群组 id
+        else:
+            abm.session_id = str(event.group_id) if abm.type == MessageType.GROUP_MESSAGE else abm.sender.user_id
+        abm.message_str = ""
+        abm.message = []
+        abm.raw_message = event
+        abm.timestamp = int(time.time())
+        abm.message_id = uuid.uuid4().hex
        
-        abm.sender = MessageMember(str(event.sender['user_id']), event.sender['nickname'])        
-
+        if 'sub_type' in event:
+            if event['sub_type'] == 'poke' and 'target_id' in event:
+                abm.message.append(Poke(qq=str(event['target_id']), type='poke')) # noqa: F405
+                
+        return abm
+    
+    
+    async def _convert_handle_message_event(self, event: Event) -> AstrBotMessage:
+        '''OneBot V11 消息类事件'''
+        abm = AstrBotMessage()
+        abm.self_id = str(event.self_id)
+        abm.sender = MessageMember(str(event.sender['user_id']), event.sender['nickname'])      
        if event['message_type'] == 'group':
            abm.type = MessageType.GROUP_MESSAGE
            abm.group_id = str(event.group_id)
        elif event['message_type'] == 'private':
            abm.type = MessageType.FRIEND_MESSAGE
-        
-        if self.unique_session:
+        if self.unique_session and abm.type == MessageType.GROUP_MESSAGE:
            abm.session_id = abm.sender.user_id + "_" + str(event.group_id) # 也保留群组 id
        else:
            abm.session_id = str(event.group_id) if abm.type == MessageType.GROUP_MESSAGE else abm.sender.user_id
@@ -75,14 +141,18 @@ class AiocqhttpAdapter(Platform):
            except BaseException as e:
                logger.error(f"回复消息失败: {e}")
            return
-        logger.debug(f"aiocqhttp: 收到消息: {event.message}")
+        
+        # 按消息段类型类型适配
        for m in event.message:
            t = m['type']
            a = None
            if t == 'text':
                message_str += m['data']['text'].strip()
+                a = ComponentTypes[t](**m['data'])  # noqa: F405
+                abm.message.append(a)
+
            elif t == 'file':
-                if m['data']['url'] and m['data']['url'].startswith("http"):
+                if m['data'].get('url') and m['data'].get('url').startswith("http"):
                    # Lagrange
                    logger.info("guessing lagrange")
                    
@@ -94,6 +164,8 @@ class AiocqhttpAdapter(Platform):
                        "file": path,
                        "name": file_name
                    }
+                    a = ComponentTypes[t](**m['data'])  # noqa: F405
+                    abm.message.append(a)
                
                else:
                    try:
@@ -102,28 +174,49 @@ class AiocqhttpAdapter(Platform):
                        if not ret.get('file', None):
                            raise ValueError(f"无法解析文件响应: {ret}")
                        if not os.path.exists(ret['file']):
-                            raise FileNotFoundError(f"文件不存在: {ret['file']}。如果您使用 Docker 部署了 AstrBot 或者消息协议端(Napcat等),暂时无法获取用户上传的文件。")
+                            raise FileNotFoundError(f"文件不存在或者权限问题: {ret['file']}。如果您使用 Docker 部署了 AstrBot 或者消息协议端(Napcat等),请先映射路径。如果路径在 /root 目录下，请用 sudo 打开 AstrBot")
                        
                        m['data'] = {
                            "file": ret['file'],
                            "name": ret['file_name']
                        }
+                        a = ComponentTypes[t](**m['data'])  # noqa: F405
+                        abm.message.append(a)
                    except ActionFailed as e:
                        logger.error(f"获取文件失败: {e}，此消息段将被忽略。")
                    except BaseException as e:
                        logger.error(f"获取文件失败: {e}，此消息段将被忽略。")
-                    
-            a = ComponentTypes[t](**m['data'])  # noqa: F405
-            abm.message.append(a)
+                        
+            else:
+                a = ComponentTypes[t](**m['data'])  # noqa: F405
+                abm.message.append(a)
+
        abm.timestamp = int(time.time())
        abm.message_str = message_str
        abm.raw_message = event
+        
        return abm
    
    def run(self) -> Awaitable[Any]:
        if not self.host or not self.port:
-            return
+            logger.warning("aiocqhttp: 未配置 ws_reverse_host 或 ws_reverse_port，将使用默认值：http://0.0.0.0:6199")
+            self.host = "0.0.0.0"
+            self.port = 6199
+            
        self.bot = CQHttp(use_ws_reverse=True, import_name='aiocqhttp', api_timeout_sec=180)
+        
+        @self.bot.on_request()
+        async def request(event: Event):
+            abm = await self.convert_message(event)
+            if abm:
+                await self.handle_msg(abm)
+        
+        @self.bot.on_notice()
+        async def notice(event: Event):
+            abm = await self.convert_message(event)
+            if abm:
+                await self.handle_msg(abm)
+        
        @self.bot.on_message('group')
        async def group(event: Event):
            abm = await self.convert_message(event)
@@ -138,7 +231,7 @@ class AiocqhttpAdapter(Platform):
                
        @self.bot.on_websocket_connection
        def on_websocket_connection(_):
-            logger.info("aiocqhttp 适配器已连接。")
+            logger.info("aiocqhttp(OneBot v11) 适配器已连接。")
        
        bot = self.bot.run_task(host=self.host, port=int(self.port), shutdown_trigger=self.shutdown_trigger_placeholder)
        
@@ -148,11 +241,15 @@ class AiocqhttpAdapter(Platform):
        
        return bot
    
+    async def terminate(self):
+        self.stop = True
+        await asyncio.sleep(1)
+    
    def meta(self) -> PlatformMetadata:
        return self.metadata
    
    async def shutdown_trigger_placeholder(self):
-        while not self._event_queue.closed:
+        while not self._event_queue.closed and not self.stop:
            await asyncio.sleep(1)
        logger.info("aiocqhttp 适配器已关闭。")

@@ -166,4 +263,4 @@ class AiocqhttpAdapter(Platform):
            bot=self.bot
        )
        
-        self.commit_event(message_event)
+        self.commit_event(message_event)
--- a/astrbot/core/platform/sources/gewechat/client.py
+++ b/astrbot/core/platform/sources/gewechat/client.py
@@ -3,7 +3,9 @@ import asyncio
 import aiohttp
 import quart
 import base64
-
+import datetime
+import re
+import os
 from astrbot.api.platform import AstrBotMessage, MessageMember, MessageType
 from astrbot.api.message_components import Plain, Image, At, Record
 from astrbot.api import logger, sp
@@ -50,6 +52,10 @@ class SimpleGewechatClient():
        self.event_queue = event_queue
        
        self.multimedia_downloader = None
+        
+        self.userrealnames = {}
+        
+        self.stop = False
    
    async def get_token_id(self):
        async with aiohttp.ClientSession() as session:
@@ -67,6 +73,17 @@ class SimpleGewechatClient():
            logger.critical("收到 gewechat 下线通知。")
            return
        
+        if 'Data' in data and 'CreateTime' in data['Data']:
+            # 得到系统 UTF+8 的 ts
+            tz_offset = datetime.timedelta(hours=8)
+            tz = datetime.timezone(tz_offset)
+            ts = datetime.datetime.now(tz).timestamp()
+            create_time = data['Data']['CreateTime']
+            if create_time < ts - 30:
+                logger.warning(f"消息时间戳过旧: {create_time}，当前时间戳: {ts}")
+                return
+
+        
        abm = AstrBotMessage()
        d = data['Data']
    
@@ -88,13 +105,16 @@ class SimpleGewechatClient():
            content = _t[1]
            if '\u2005' in content: 
                # at
-                content = content.split('\u2005')[1]
+                # content = content.split('\u2005')[1]
+                content = re.sub(r'@[^\u2005]*\u2005', '', content)
            abm.group_id = from_user_name
            # at
            msg_source = d['MsgSource']
            if f'<atuserlist><![CDATA[,{abm.self_id}]]>' in msg_source \
                or f'<atuserlist><![CDATA[{abm.self_id}]]>' in msg_source:
                at_me = True
+            if '在群聊中@了你' in d.get('PushContent', ''):
+                at_me = True
        else:
            abm.type = MessageType.FRIEND_MESSAGE
            user_id = from_user_name
@@ -103,9 +123,25 @@ class SimpleGewechatClient():
        if at_me:
            abm.message.insert(0, At(qq=abm.self_id))
        
-        user_real_name = d.get('PushContent', 'unknown : ').split(' : ')[0] \
-            .replace('在群聊中@了你', '') \
-            .replace('在群聊中发了一段语音', '') # 真实昵称
+        # 解析用户真实名字
+        user_real_name = "unknown"
+        if abm.group_id:
+            if abm.group_id not in self.userrealnames or user_id not in self.userrealnames[abm.group_id]:
+                # 获取群成员列表，并且缓存
+                if abm.group_id not in self.userrealnames:
+                    self.userrealnames[abm.group_id] = {}
+                member_list = await self.get_chatroom_member_list(abm.group_id)
+                logger.debug(f"获取到 {abm.group_id} 的群成员列表。")
+                if member_list and 'memberList' in member_list:
+                    for member in member_list['memberList']:
+                        self.userrealnames[abm.group_id][member['wxid']] = member['nickName']
+                if user_id in self.userrealnames[abm.group_id]:
+                    user_real_name = self.userrealnames[abm.group_id][user_id]
+            else:
+                user_real_name = self.userrealnames[abm.group_id][user_id]
+        else:
+            user_real_name = d.get('PushContent', 'unknown : ').split(' : ')[0]
+
        abm.sender = MessageMember(user_id, user_real_name)
        abm.raw_message = d
        abm.message_str = ""
@@ -139,12 +175,11 @@ class SimpleGewechatClient():
                    with open(file_path, "wb") as f:
                        f.write(voice_data)
                    abm.message.append(Record(file=file_path, url=file_path))
-                
            case _:
-                logger.error(f"未实现的消息类型: {d['MsgType']}")
-                return
+                logger.info(f"未实现的消息类型: {d['MsgType']}")
+                abm.raw_message = d
        
-        logger.info(f"abm: {abm}")
+        logger.debug(f"abm: {abm}")
        return abm

    async def callback(self):
@@ -187,18 +222,18 @@ class SimpleGewechatClient():
                logger.info(f"设置回调结果: {json_blob}")
                if json_blob['ret'] != 200:
                    raise Exception(f"设置回调失败: {json_blob}")
-                logger.info(f"将在 {self.callback_url} 上接收 gewechat 下发的消息。如果一直没收到消息请先尝试重启 AstrBot。")
+                logger.info(f"将在 {self.callback_url} 上接收 gewechat 下发的消息。如果一直没收到消息请先尝试重启 AstrBot。如果仍没收到请到管理面板聊天页输入 /gewe_logout 重新登录。")
        
    async def start_polling(self):
        threading.Thread(target=asyncio.run, args=(self._set_callback_url(),)).start()
        await self.server.run_task(
-            host=self.host, 
+            host='0.0.0.0', 
            port=self.port, 
            shutdown_trigger=self.shutdown_trigger_placeholder
        )
    
    async def shutdown_trigger_placeholder(self):
-        while not self.event_queue.closed:
+        while not self.event_queue.closed and not self.stop:
            await asyncio.sleep(1)
        logger.info("gewechat 适配器已关闭。")
        
@@ -272,6 +307,22 @@ class SimpleGewechatClient():
        })
        while retry_cnt > 0:
            retry_cnt -= 1
+
+            # 需要验证码
+            if os.path.exists("data/temp/gewe_code"):
+                with open("data/temp/gewe_code", "r") as f:
+                    code = f.read().strip()
+                    if not code:
+                        logger.warning("未找到验证码，请在管理面板聊天页输入 /gewe_code 验证码 来验证，如 /gewe_code 123456")
+                        await asyncio.sleep(5)
+                        continue
+                    payload['captchCode'] = code
+                    logger.info(f"使用验证码: {code}")
+                    try:
+                        os.remove("data/temp/gewe_code")
+                    except:
+                        logger.warning("删除验证码文件 data/temp/gewe_code 失败。")
+
            async with aiohttp.ClientSession() as session:
                async with session.post(
                    f"{self.base_url}/login/checkLogin",
@@ -280,17 +331,25 @@ class SimpleGewechatClient():
                ) as resp:
                    json_blob = await resp.json()
                    logger.info(f"检查登录状态: {json_blob}")
-                    status = json_blob['data']['status']
-                    nickname = json_blob['data'].get('nickName', '')
-                    if status == 1:
-                        logger.info(f"等待确认...{nickname}")
-                    elif status == 2:
-                        logger.info(f"绿泡泡平台登录成功: {nickname}")
-                        break
-                    elif status == 0:
-                        logger.info("等待扫码...")
+
+                    ret = json_blob['ret']
+                    msg = ''
+                    if json_blob['data'] and 'msg' in json_blob['data']:
+                        msg = json_blob['data']['msg']
+                    if ret == 500 and '安全验证码' in msg:
+                        logger.warning("此次登录需要安全验证码，请在管理面板聊天页输入 /gewe_code 验证码 来验证，如 /gewe_code 123456")
                    else:
-                        logger.warning(f"未知状态: {status}")
+                        status = json_blob['data']['status']
+                        nickname = json_blob['data'].get('nickName', '')
+                        if status == 1: 
+                            logger.info(f"等待确认...{nickname}")
+                        elif status == 2:
+                            logger.info(f"绿泡泡平台登录成功: {nickname}")
+                            break
+                        elif status == 0:
+                            logger.info("等待扫码...")
+                        else:
+                            logger.warning(f"未知状态: {status}")
            await asyncio.sleep(5)
            
        if appid:
@@ -298,12 +357,31 @@ class SimpleGewechatClient():
            self.appid = appid
            logger.info(f"已保存 APPID: {appid}")
    
-    async def post_text(self, to_wxid, content: str):
+    '''API'''
+    
+    async def get_chatroom_member_list(self, chatroom_wxid: str):
+        payload = {
+            "appId": self.appid,
+            "chatroomId": chatroom_wxid
+        }
+        
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/group/getChatroomMemberList",
+                headers=self.headers,
+                json=payload
+            ) as resp:
+                json_blob = await resp.json()
+                return json_blob['data']
+    
+    async def post_text(self, to_wxid, content: str, ats: str = ""):
        payload = {
            "appId": self.appid,
            "toWxid": to_wxid,
            "content": content,
        }
+        if ats:
+            payload['ats'] = ats
        
        async with aiohttp.ClientSession() as session:
            async with session.post(
@@ -347,4 +425,21 @@ class SimpleGewechatClient():
                json=payload
            ) as resp:
                json_blob = await resp.json()
-                logger.debug(f"发送语音结果: {json_blob}")
+                logger.debug(f"发送语音结果: {json_blob}")
+                
+    async def post_file(self, to_wxid, file_url: str, file_name: str):
+        payload = {
+            "appId": self.appid,
+            "toWxid": to_wxid,
+            "fileUrl": file_url,
+            "fileName": file_name
+        }
+        
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{self.base_url}/message/postFile",
+                headers=self.headers,
+                json=payload
+            ) as resp:
+                json_blob = await resp.json()
+                logger.debug(f"发送文件结果: {json_blob}")
--- a/astrbot/core/platform/sources/gewechat/gewechat_event.py
+++ b/astrbot/core/platform/sources/gewechat/gewechat_event.py
@@ -1,12 +1,13 @@
 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.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
+from astrbot.api.message_components import Plain, Image, Record, At, File
 from .client import SimpleGewechatClient

 def get_wav_duration(file_path):
@@ -15,6 +16,8 @@ def get_wav_duration(file_path):
        n_channels, sampwidth, framerate, n_frames = wav_file.getparams()[:4]
        if n_frames == 2147483647:
            duration = (file_size - 44) / (n_channels * sampwidth * framerate)
+        elif n_frames == 0:
+            duration = (file_size - 44) / (n_channels * sampwidth * framerate)
        else:
            duration = n_frames / float(framerate)
        return duration
@@ -43,9 +46,31 @@ class GewechatPlatformEvent(AstrMessageEvent):
            logger.error("无法获取到 to_wxid。")
            return
        
+        #  检查@
+        ats = []
+        ats_names = []
+        for comp in message.chain:
+            if isinstance(comp, At):
+                ats.append(comp.qq)
+                ats_names.append(comp.name)
+        has_at = False
+        
        for comp in message.chain:
            if isinstance(comp, Plain):
-                await self.client.post_text(to_wxid, comp.text)
+                text = comp.text
+                payload = {
+                    "to_wxid": to_wxid,
+                    "content": text,
+                }
+                if not has_at and ats:
+                    ats = f"{','.join(ats)}"
+                    ats_names = f"@{' @'.join(ats_names)}"
+                    text = f"{ats_names} {text}"
+                    payload["content"] = text
+                    payload["ats"] = ats
+                    has_at = True
+                await self.client.post_text(**payload)
+                
            elif isinstance(comp, Image):
                img_url = comp.file
                img_path = ""
@@ -80,23 +105,35 @@ class GewechatPlatformEvent(AstrMessageEvent):
                    record_path = record_url
                    
                silk_path = f"data/temp/{uuid.uuid4()}.silk"
-                duration = await wav_to_tencent_silk(record_path, silk_path)
-                
-                print(f"duration: {duration}, {silk_path}")
-                
-                # 检查 record_path 是否在 data/temp 目录中, record_path 可能是绝对路径
-                # temp_directory = os.path.abspath('data/temp')
-                # record_path = os.path.abspath(record_path)
-                # if os.path.commonpath([temp_directory, record_path]) != temp_directory:
-                #     with open(record_path, "rb") as f:
-                #         record_path = f"data/temp/{uuid.uuid4()}.wav"
-                #         with open(record_path, "wb") as f2:
-                #             f2.write(f.read())
-                
+                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)}"))
+                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}"
+                logger.debug(f"gewe callback record url: {record_url}")
                await self.client.post_voice(to_wxid, record_url, duration*1000)
+            elif isinstance(comp, File):
+                file_path = comp.file
+                file_name = comp.name
+                if file_path.startswith("file:///"):
+                    file_path = file_path[8:]
+                elif file_path.startswith("http"):
+                    await download_file(file_path, f"data/temp/{file_name}")
+                else:
+                    file_path = file_path
+                    
+                file_id = os.path.basename(file_path)
+                file_url = f"{self.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) 
+            elif isinstance(comp, At):
+                pass
+            else:
+                logger.debug(f"gewechat 忽略: {comp.type}")   
+        
        await super().send(message)
--- a/astrbot/core/platform/sources/gewechat/gewechat_platform_adapter.py
+++ b/astrbot/core/platform/sources/gewechat/gewechat_platform_adapter.py
@@ -30,10 +30,6 @@ class GewechatPlatformAdapter(Platform):
    @override
    async def send_by_session(self, session: MessageSesion, message_chain: MessageChain):
        to_wxid = session.session_id
-        if "_" in to_wxid:
-            # 群聊，开启了独立会话
-            _, to_wxid = to_wxid.split("_")
-        
        if not to_wxid:
            logger.error("无法获取到 to_wxid。")
            return
@@ -51,6 +47,10 @@ class GewechatPlatformAdapter(Platform):
            "基于 gewechat 的 Wechat 适配器",
        )

+    async def terminate(self):
+        self.client.stop = True
+        await asyncio.sleep(1)
+
    @override
    def run(self):
        self.client = SimpleGewechatClient(
--- a/astrbot/core/platform/sources/lark/lark_adapter.py
+++ b/astrbot/core/platform/sources/lark/lark_adapter.py
@@ -0,0 +1,175 @@
+import base64
+import time
+import asyncio
+import json
+import re
+
+from astrbot.api.platform import Platform, AstrBotMessage, MessageMember, MessageType, PlatformMetadata
+from astrbot.api.event import MessageChain
+from typing import Union, List
+from astrbot.api.message_components import Image, Plain, At
+from astrbot.core.platform.astr_message_event import MessageSesion
+from .lark_event import LarkMessageEvent
+from ...register import register_platform_adapter
+from astrbot.core.message.components import BaseMessageComponent
+from astrbot import logger
+import lark_oapi as lark
+from lark_oapi.api.im.v1 import *
+
+@register_platform_adapter("lark", "飞书机器人官方 API 适配器")
+class LarkPlatformAdapter(Platform):
+
+    def __init__(self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue) -> None:
+        super().__init__(event_queue)
+        
+        self.config = platform_config
+        
+        self.unique_session = platform_settings['unique_session']
+
+        self.appid = platform_config['app_id']
+        self.appsecret = platform_config['app_secret']
+        self.domain = platform_config.get('domain', lark.FEISHU_DOMAIN)
+        self.bot_name = platform_config.get('lark_bot_name', "astrbot")
+        
+        if not self.bot_name:
+            logger.warning("未设置飞书机器人名称，@ 机器人可能得不到回复。")
+        
+        async def on_msg_event_recv(event: lark.im.v1.P2ImMessageReceiveV1):
+            await self.convert_msg(event)
+        
+        def do_v2_msg_event(event: lark.im.v1.P2ImMessageReceiveV1):
+            asyncio.create_task(on_msg_event_recv(event))
+        
+        self.event_handler = lark.EventDispatcherHandler.builder("", "") \
+            .register_p2_im_message_receive_v1(do_v2_msg_event) \
+            .build()
+             
+        self.client = lark.ws.Client(
+            app_id=self.appid,
+            app_secret=self.appsecret,
+            log_level=lark.LogLevel.ERROR,
+            domain=self.domain,
+            event_handler=self.event_handler
+        )
+        
+        self.lark_api = (
+            lark.Client.builder()
+            .app_id(self.appid)
+            .app_secret(self.appsecret)
+            .build()
+        )
+        
+    async def send_by_session(self, session: MessageSesion, message_chain: MessageChain):
+        raise NotImplementedError("QQ 机器人官方 API 适配器不支持 send_by_session")
+        
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "lark",
+            "飞书机器人官方 API 适配器",
+        )
+        
+    async def convert_msg(self, event: lark.im.v1.P2ImMessageReceiveV1):
+        message = event.event.message
+        abm = AstrBotMessage()
+        abm.timestamp = int(message.create_time) / 1000
+        abm.message = []
+        abm.type = MessageType.GROUP_MESSAGE if message.chat_type == 'group' else MessageType.FRIEND_MESSAGE
+        if message.chat_type == 'group':
+            abm.group_id = message.chat_id
+        abm.self_id = self.bot_name
+        abm.message_str = ""
+        
+        at_list = {}
+        if message.mentions:
+            for m in message.mentions:
+                at_list[m.key] = At(qq=m.id.open_id, name=m.name)
+                if m.name == self.bot_name:
+                    abm.self_id = m.id.open_id
+                    
+        content_json_b = json.loads(message.content)
+        
+        if message.message_type == 'text':
+            message_str_raw = content_json_b['text'] # 带有 @ 的消息
+            at_pattern = r"(@_user_\d+)"  # 可以根据需求修改正则
+            at_users = re.findall(at_pattern, message_str_raw)
+            # 拆分文本，去掉AT符号部分
+            parts = re.split(at_pattern, message_str_raw)
+            for i in range(len(parts)):
+                s = parts[i].strip()
+                if not s:
+                    continue
+                if s in at_list:
+                    abm.message.append(at_list[s])
+                else:
+                    abm.message.append(Plain(parts[i].strip()))
+        elif message.message_type == 'post':
+            _ls = []
+            
+            content_ls = content_json_b.get('content', [])
+            for comp in content_ls:
+                if isinstance(comp, list):
+                    _ls.extend(comp)
+                elif isinstance(comp, dict):
+                    _ls.append(comp)
+            content_json_b = _ls
+        elif message.message_type == 'image':
+            content_json_b = [
+                {"tag": "img", "image_key": content_json_b["image_key"], "style": []}
+            ]
+            
+        if message.message_type in ('post', 'image'):    
+            for comp in content_json_b:
+                if comp['tag'] == 'at':
+                    abm.message.append(at_list[comp['user_id']])
+                elif comp['tag'] == 'text' and comp['text'].strip():
+                    abm.message.append(Plain(comp['text'].strip()))
+                elif comp['tag'] == 'img':
+                    image_key = comp['image_key']
+                    request = GetMessageResourceRequest.builder() \
+                        .message_id(message.message_id) \
+                        .file_key(image_key) \
+                        .type("image") \
+                        .build()
+                    response = await self.lark_api.im.v1.message_resource.aget(request)
+                    if not response.success():
+                        logger.error(f"无法下载飞书图片: {image_key}")
+                    image_bytes = response.file.read()
+                    image_base64 = base64.b64encode(image_bytes).decode()
+                    abm.message.append(Image.fromBase64(image_base64))
+        
+        for comp in abm.message:
+            if isinstance(comp, Plain):
+                abm.message_str += comp.text
+        abm.message_id = message.message_id
+        abm.raw_message = message
+        abm.sender = MessageMember(
+            user_id=event.event.sender.sender_id.open_id,
+            nickname=event.event.sender.sender_id.open_id[:8]
+        )
+        # 独立会话
+        if not self.unique_session:
+            if abm.type == MessageType.GROUP_MESSAGE:
+                abm.session_id = abm.group_id
+            else:
+                abm.session_id = abm.sender.user_id
+        else:
+            abm.session_id = abm.sender.user_id
+            
+        logger.debug(abm)
+        await self.handle_msg(abm)
+        
+    async def handle_msg(self, abm: AstrBotMessage):
+        event = LarkMessageEvent(
+            message_str=abm.message_str,
+            message_obj=abm,
+            platform_meta=self.meta(),
+            session_id=abm.session_id,
+            bot=self.lark_api
+        )
+        
+        self._event_queue.put_nowait(event)
+        
+    async def run(self):
+        # self.client.start()
+        await self.client._connect()
+        
--- a/astrbot/core/platform/sources/lark/lark_event.py
+++ b/astrbot/core/platform/sources/lark/lark_event.py
@@ -0,0 +1,96 @@
+import json
+import uuid
+import lark_oapi as lark
+from typing import List
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.message_components import Plain, Image as AstrBotImage, Record, At, Node, Music, Video
+from astrbot.core.utils.io import file_to_base64, download_image_by_url
+from lark_oapi.api.im.v1 import *
+from astrbot import logger
+
+class LarkMessageEvent(AstrMessageEvent):
+    def __init__(self, message_str, message_obj, platform_meta, session_id, bot: lark.Client):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.bot = bot
+    
+    @staticmethod
+    async def _convert_to_lark(message: MessageChain, lark_client: lark.Client) -> List:
+        ret = []
+        _stage = []
+        for comp in message.chain:
+            if isinstance(comp, Plain):
+                _stage.append({
+                    "tag": "md",
+                    "text": comp.text
+                })
+            elif isinstance(comp, At):
+                _stage.append({
+                    "tag": "at",
+                    "user_id": comp.qq,
+                    "style": []
+                })
+            elif isinstance(comp, AstrBotImage):
+                file_path = ""
+                if comp.file and comp.file.startswith("file:///"):
+                    file_path = comp.file.replace('file:///', '')
+                elif comp.file and comp.file.startswith("http"):
+                    image_file_path = await download_image_by_url(comp.file)
+                    file_path = image_file_path
+                elif comp.file and comp.file.startswith("base64://"):
+                    pass
+                else:
+                    file_path = comp.file
+                
+                request = CreateImageRequest.builder() \
+                        .request_body( \
+                            CreateImageRequestBody.builder() \
+                            .image_type("message") \
+                            .image(open(file_path, 'rb')) \
+                            .build() \
+                        ) \
+                        .build()
+                response = await lark_client.im.v1.image.acreate(request)
+                if not response.success():
+                    logger.error(f"无法上传飞书图片({response.code}): {response.msg}")
+                image_key = response.data.image_key
+                print(image_key)
+                ret.append(_stage)
+                ret.append([{
+                    "tag": "img",
+                    "image_key": image_key
+                }])
+                _stage.clear()
+            else:
+                logger.warning(f"飞书 暂时不支持消息段: {comp.type}")
+
+        if _stage:
+            ret.append(_stage)            
+        return ret
+
+    async def send(self, message: MessageChain):
+        res = await LarkMessageEvent._convert_to_lark(message, self.bot)
+        wrapped = {
+            "zh_cn": {
+                "title": "",
+                "content": res,
+            }
+        }
+
+        request = ReplyMessageRequest.builder() \
+            .message_id(self.message_obj.message_id) \
+            .request_body( \
+                ReplyMessageRequestBody.builder() \
+                .content(json.dumps(wrapped)) \
+                .msg_type("post") \
+                .uuid(str(uuid.uuid4())) \
+                .reply_in_thread(False) \
+                .build() \
+            ) \
+            .build()
+
+        response = await self.bot.im.v1.message.areply(request)
+        
+        if not response.success():
+            logger.error(f"回复飞书消息失败({response.code}): {response.msg}")
+    
+        await super().send(message)
--- a/astrbot/core/platform/sources/qqofficial/qqofficial_message_event.py
+++ b/astrbot/core/platform/sources/qqofficial/qqofficial_message_event.py
@@ -5,9 +5,10 @@ import botpy.types.message
 from astrbot.core.utils.io import file_to_base64, download_image_by_url
 from astrbot.api.event import AstrMessageEvent, MessageChain
 from astrbot.api.platform import AstrBotMessage, PlatformMetadata
-from astrbot.api.message_components import Plain, Image, Reply
+from astrbot.api.message_components import Plain, Image
 from botpy import Client
 from botpy.http import Route
+from astrbot.api import logger


 class QQOfficialMessageEvent(AstrMessageEvent):
@@ -29,18 +30,8 @@ class QQOfficialMessageEvent(AstrMessageEvent):
        
        plain_text, image_base64, image_path = await QQOfficialMessageEvent._parse_to_qqofficial(self.send_buffer)
        
-        ref = None
-        for i in self.send_buffer.chain:
-            if isinstance(i, Reply):
-                try:
-                    ref = self.message_obj.raw_message.message_reference
-                    ref = botpy.types.message.Reference(
-                        message_id=ref.message_id,
-                        ignore_get_message_error=False
-                    )
-                except BaseException as _:
-                    pass
-                break
+        if not plain_text and not image_base64 and not image_path:
+            return
        
        payload = {
            'content': plain_text,
@@ -49,30 +40,22 @@ class QQOfficialMessageEvent(AstrMessageEvent):
        
        match type(source):
            case botpy.message.GroupMessage:
-                if ref:
-                    payload['message_reference'] = ref
                if image_base64:
                    media = await self.upload_group_and_c2c_image(image_base64, 1, group_openid=source.group_openid)
                    payload['media'] = media
                    payload['msg_type'] = 7
                await self.bot.api.post_group_message(group_openid=source.group_openid, **payload)
            case botpy.message.C2CMessage:
-                if ref:
-                    payload['message_reference'] = ref
                if image_base64:
                    media = await self.upload_group_and_c2c_image(image_base64, 1, openid=source.author.user_openid)
                    payload['media'] = media
                    payload['msg_type'] = 7
                await self.bot.api.post_c2c_message(openid=source.author.user_openid, **payload)
            case botpy.message.Message:
-                if ref:
-                    payload['message_reference'] = ref
                if image_path:
                    payload['file_image'] = image_path
                await self.bot.api.post_message(channel_id=source.channel_id, **payload)
            case botpy.message.DirectMessage:
-                if ref:
-                    payload['message_reference'] = ref
                if image_path:
                    payload['file_image'] = image_path
                await self.bot.api.post_dms(guild_id=source.guild_id, **payload)
@@ -114,4 +97,6 @@ class QQOfficialMessageEvent(AstrMessageEvent):
                else:
                    image_base64 = file_to_base64(i.file).replace("base64://", "")
                    image_file_path = i.file
+            else:
+                logger.debug(f"qq_official 忽略 {i.type}")
        return plain_text, image_base64, image_file_path
--- a/astrbot/core/platform/sources/qqofficial/qqofficial_platform_adapter.py
+++ b/astrbot/core/platform/sources/qqofficial/qqofficial_platform_adapter.py
@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import botpy
 import logging
 import time
@@ -28,25 +30,25 @@ class botClient(Client):
        
    # 收到群消息
    async def on_group_at_message_create(self, message: botpy.message.GroupMessage):
-        abm = self.platform._parse_from_qqofficial(message, MessageType.GROUP_MESSAGE)
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(message, MessageType.GROUP_MESSAGE)
        abm.session_id = abm.sender.user_id if self.platform.unique_session else message.group_openid
        self._commit(abm)

    # 收到频道消息
    async def on_at_message_create(self, message: botpy.message.Message):
-        abm = self.platform._parse_from_qqofficial(message, MessageType.GROUP_MESSAGE)
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(message, MessageType.GROUP_MESSAGE)
        abm.session_id = abm.sender.user_id if self.platform.unique_session else message.channel_id
        self._commit(abm)
        
    # 收到私聊消息
    async def on_direct_message_create(self, message: botpy.message.DirectMessage):
-        abm = self.platform._parse_from_qqofficial(message, MessageType.FRIEND_MESSAGE)
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(message, MessageType.FRIEND_MESSAGE)
        abm.session_id = abm.sender.user_id
        self._commit(abm)
        
    # 收到 C2C 消息
    async def on_c2c_message_create(self, message: botpy.message.C2CMessage):
-        abm = self.platform._parse_from_qqofficial(message, MessageType.FRIEND_MESSAGE)
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(message, MessageType.FRIEND_MESSAGE)
        abm.session_id = abm.sender.user_id
        self._commit(abm)
        
@@ -102,7 +104,8 @@ class QQOfficialPlatformAdapter(Platform):
            "QQ 机器人官方 API 适配器",
        )

-    def _parse_from_qqofficial(self, message: Union[botpy.message.Message, botpy.message.GroupMessage],
+    @staticmethod
+    def _parse_from_qqofficial(message: Union[botpy.message.Message, botpy.message.GroupMessage],
                                  message_type: MessageType):
        abm = AstrBotMessage()
        abm.type = message_type
--- a/astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_adapter.py
+++ b/astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_adapter.py
@@ -0,0 +1,99 @@
+import botpy
+import logging
+import asyncio
+import botpy.message
+import botpy.types
+import botpy.types.message
+
+from botpy import Client
+from astrbot.api.platform import Platform, AstrBotMessage, MessageType, PlatformMetadata
+from astrbot.api.event import MessageChain
+from astrbot.core.platform.astr_message_event import MessageSesion
+from .qo_webhook_event import QQOfficialWebhookMessageEvent
+from ...register import register_platform_adapter
+from .qo_webhook_server import QQOfficialWebhook
+from ..qqofficial.qqofficial_platform_adapter import QQOfficialPlatformAdapter
+
+# remove logger handler
+for handler in logging.root.handlers[:]:
+    logging.root.removeHandler(handler)
+    
+# QQ 机器人官方框架
+class botClient(Client):
+    def set_platform(self, platform: 'QQOfficialWebhookPlatformAdapter'):
+        self.platform = platform
+        
+    # 收到群消息
+    async def on_group_at_message_create(self, message: botpy.message.GroupMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(message, MessageType.GROUP_MESSAGE)
+        abm.session_id = abm.sender.user_id if self.platform.unique_session else message.group_openid
+        self._commit(abm)
+
+    # 收到频道消息
+    async def on_at_message_create(self, message: botpy.message.Message):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(message, MessageType.GROUP_MESSAGE)
+        abm.session_id = abm.sender.user_id if self.platform.unique_session else message.channel_id
+        self._commit(abm)
+        
+    # 收到私聊消息
+    async def on_direct_message_create(self, message: botpy.message.DirectMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(message, MessageType.FRIEND_MESSAGE)
+        abm.session_id = abm.sender.user_id
+        self._commit(abm)
+        
+    # 收到 C2C 消息
+    async def on_c2c_message_create(self, message: botpy.message.C2CMessage):
+        abm = QQOfficialPlatformAdapter._parse_from_qqofficial(message, MessageType.FRIEND_MESSAGE)
+        abm.session_id = abm.sender.user_id
+        self._commit(abm)
+        
+    def _commit(self, abm: AstrBotMessage):
+        self.platform.commit_event(QQOfficialWebhookMessageEvent(
+            abm.message_str,
+            abm,
+            self.platform.meta(),
+            abm.session_id,
+            self
+        ))
+        
+@register_platform_adapter("qq_official_webhook", "QQ 机器人官方 API 适配器(Webhook)")
+class QQOfficialWebhookPlatformAdapter(Platform):
+
+    def __init__(self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue) -> None:
+        super().__init__(event_queue)
+        
+        self.config = platform_config
+        
+        self.appid = platform_config['appid']
+        self.secret = platform_config['secret']
+        self.unique_session = platform_settings['unique_session']
+
+        intents = botpy.Intents(
+            public_messages=True,
+            public_guild_messages=True,
+            direct_message=True
+        )
+        self.client = botClient(
+            intents=intents, # 已经无用
+            bot_log=False,
+            timeout=20,
+        )
+        self.client.set_platform(self)
+
+    async def send_by_session(self, session: MessageSesion, message_chain: MessageChain):
+        raise NotImplementedError("QQ 机器人官方 API 适配器不支持 send_by_session")
+        
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "qq_official_webhook",
+            "QQ 机器人官方 API 适配器",
+        )
+
+    async def run(self):
+        self.webhook_helper = QQOfficialWebhook(
+            self.config,
+            self._event_queue,
+            self.client
+        )
+        await self.webhook_helper.initialize()
+        await self.webhook_helper.start_polling()
--- a/astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_event.py
+++ b/astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_event.py
@@ -0,0 +1,18 @@
+import botpy
+import botpy.message
+import botpy.types
+import botpy.types.message
+from astrbot.core.utils.io import file_to_base64, download_image_by_url
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.platform import AstrBotMessage, PlatformMetadata
+from astrbot.api.message_components import Plain, Image, Reply
+from botpy import Client
+from botpy.http import Route
+from astrbot.api import logger
+from ..qqofficial.qqofficial_message_event import QQOfficialMessageEvent
+
+
+class QQOfficialWebhookMessageEvent(QQOfficialMessageEvent):
+    def __init__(self, message_str: str, message_obj: AstrBotMessage, platform_meta: PlatformMetadata, session_id: str, bot: Client):
+        super().__init__(message_str, message_obj, platform_meta, session_id, bot)
+    
--- a/astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_server.py
+++ b/astrbot/core/platform/sources/qqofficial_webhook/qo_webhook_server.py
@@ -0,0 +1,108 @@
+import aiohttp
+import quart
+import json
+import logging
+import asyncio
+import typing
+from botpy import BotAPI, BotHttp, Client, Token, BotWebSocket, ConnectionSession
+from astrbot.api import logger
+import traceback
+from cryptography.hazmat.primitives.asymmetric import ed25519
+
+# remove logger handler
+for handler in logging.root.handlers[:]:
+    logging.root.removeHandler(handler)
+
+class QQOfficialWebhook():
+    def __init__(self, config: dict, event_queue: asyncio.Queue, botpy_client: Client):
+        self.appid = config['appid']
+        self.secret = config['secret']
+        self.port = config.get("port", 6196)
+        
+        if isinstance(self.port, str):
+            self.port = int(self.port)
+        
+        self.http: BotHttp = BotHttp(timeout=300)
+        self.api: BotAPI = BotAPI(http=self.http)
+        self.token = Token(self.appid, self.secret)
+        
+        self.server = quart.Quart(__name__)
+        self.server.add_url_rule('/astrbot-qo-webhook/callback', view_func=self.callback, methods=['POST'])
+        self.client = botpy_client
+        self.event_queue = event_queue
+        
+    async def initialize(self):
+        logger.info(f"正在登录到 QQ 官方机器人...")
+        self.user = await self.http.login(self.token)
+        logger.info(f"已登录 QQ 官方机器人账号: {self.user}")
+        # 直接注入到 botpy 的 Client，移花接木！
+        self.client.api = self.api
+        self.client.http = self.http
+        
+        async def bot_connect():
+            pass
+        
+        self._connection = ConnectionSession(
+            max_async=1,
+            connect=bot_connect,
+            dispatch=self.client.ws_dispatch,
+            loop=asyncio.get_event_loop(),
+            api=self.api,
+        )
+
+    async def repeat_seed(self, bot_secret: str, target_size: int = 32) -> bytes:
+        seed = bot_secret
+        while len(seed) < target_size:
+            seed *= 2
+        return seed[:target_size].encode('utf-8')
+
+        
+    async def webhook_validation(self, validation_payload: dict):
+        seed = await self.repeat_seed(self.secret)
+        private_key = ed25519.Ed25519PrivateKey.from_private_bytes(seed)
+        msg = validation_payload.get("event_ts", "") + validation_payload.get("plain_token", "")
+        # sign
+        signature = private_key.sign(msg.encode()).hex()
+        response = {
+            "plain_token": validation_payload.get("plain_token"),
+            "signature": signature
+        }
+        return response
+        
+    async def callback(self):
+        msg: dict = await quart.request.json
+        logger.debug(f"收到 qq_official_webhook 回调: {msg}")
+
+        event = msg.get("t")
+        opcode = msg.get("op")
+        data = msg.get("d")
+        
+        if opcode == 13:
+            # validation
+            signed = await self.webhook_validation(data)
+            print(signed)
+            return signed
+
+        if event and opcode == BotWebSocket.WS_DISPATCH_EVENT:
+            event = msg["t"].lower()
+            try:
+                func = self._connection.parser[event]
+            except KeyError:
+                logger.error("_parser unknown event %s.", event)
+            else:
+                func(msg)
+                
+        return {"opcode": 12}
+    
+    async def start_polling(self):
+        await self.server.run_task(
+            host='0.0.0.0', 
+            port=self.port, 
+            shutdown_trigger=self.shutdown_trigger_placeholder
+        )
+        
+    async def shutdown_trigger_placeholder(self):
+        while not self.event_queue.closed:
+            await asyncio.sleep(1)
+        logger.info("qq_official_webhook 适配器已关闭。")
+        
--- a/astrbot/core/platform/sources/telegram/tg_adapter.py
+++ b/astrbot/core/platform/sources/telegram/tg_adapter.py
@@ -0,0 +1,128 @@
+import sys
+import uuid
+import asyncio
+
+from astrbot.api.platform import Platform, AstrBotMessage, MessageMember, PlatformMetadata, MessageType
+from astrbot.api.event import MessageChain
+from astrbot.api.message_components import Plain, Image, Record, File as AstrBotFile, Video, At
+from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.api.platform import register_platform_adapter
+
+from telegram import Update
+from telegram.ext import ApplicationBuilder, ContextTypes, filters
+from telegram.constants import ChatType
+from telegram.ext import MessageHandler as TelegramMessageHandler
+from .tg_event import TelegramPlatformEvent
+from astrbot.api import logger
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
+@register_platform_adapter("telegram", "telegram 适配器")
+class TelegramPlatformAdapter(Platform):
+
+    def __init__(self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue) -> None:
+        super().__init__(event_queue)
+        self.config = platform_config
+        self.settings = platform_settings
+        self.client_self_id = uuid.uuid4().hex[:8]
+    
+    @override
+    async def send_by_session(self, session: MessageSesion, message_chain: MessageChain):
+        from_username = session.session_id
+        await TelegramPlatformEvent.send_with_client(self.client, message_chain, from_username)
+        await super().send_by_session(session, message_chain)
+    
+    @override
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "telegram",
+            "telegram 适配器",
+        )
+
+    @override
+    async def run(self):
+        base_url = self.config.get("telegram_api_base_url", "https://api.telegram.org/bot")
+        if not base_url:
+            base_url = "https://api.telegram.org/bot"
+        
+        self.application = ApplicationBuilder().token(self.config['telegram_token']).base_url(base_url).build()
+        message_handler = TelegramMessageHandler(
+            filters=filters.ALL,  # receive all messages
+            callback=self.convert_message
+        )
+        self.application.add_handler(message_handler)
+        await self.application.initialize()
+        await self.application.start()
+        queue = self.application.updater.start_polling()
+        self.client = self.application.bot
+        logger.info("Telegram Platform Adapter is running.")
+
+        await queue
+
+    async def start(self, update: Update, context: ContextTypes.DEFAULT_TYPE):
+        await context.bot.send_message(chat_id=update.effective_chat.id, text=self.config["start_message"])
+
+    async def convert_message(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> AstrBotMessage:
+        message = AstrBotMessage()
+        # 获得是群聊还是私聊
+        if update.effective_chat.type == ChatType.PRIVATE:
+            message.type = MessageType.FRIEND_MESSAGE
+        else:
+            message.type = MessageType.GROUP_MESSAGE
+            message.group_id = update.effective_chat.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)
+        message.self_id = str(context.bot.id)
+        message.raw_message = update
+        message.message_str = ""
+        message.message = []
+        
+        logger.debug(f"Telegram message: {update.message}")
+        
+        if update.message.text:
+            plain_text = update.message.text
+
+            if update.message.entities:
+                for entity in update.message.entities:
+                    if entity.type == "mention":
+                        name = plain_text[entity.offset:entity.offset+entity.length]
+                        message.message.append(At(qq=message.self_id, name=name))
+                        plain_text = plain_text[:entity.offset] + plain_text[entity.offset+entity.length:]
+            
+            message.message.append(Plain(plain_text))
+            message.message_str = plain_text
+                        
+            
+        elif update.message.voice:
+            file = await update.message.voice.get_file()
+            message.message = [Record(file=file.file_path, url=file.file_path),]
+            
+        elif update.message.photo:
+            for photo in update.message.photo:
+                file = await photo.get_file()
+                message.message.append(Image(file=file.file_path, url=file.file_path))
+            
+        elif update.message.document:
+            file = await update.message.document.get_file()
+            message.message = [AstrBotFile(file=file.file_path, name="file"),]
+        
+        elif update.message.video:
+            file = await update.message.video.get_file()
+            message.message = [Video(file=file.file_path, path=file.file_path),]
+            
+        
+        await self.handle_msg(message)
+    
+    async def handle_msg(self, message: AstrBotMessage):
+        message_event = TelegramPlatformEvent(
+            message_str=message.message_str,
+            message_obj=message,
+            platform_meta=self.meta(),
+            session_id=message.session_id,
+            client=self.client
+        )
+        self.commit_event(message_event)
--- a/astrbot/core/platform/sources/telegram/tg_event.py
+++ b/astrbot/core/platform/sources/telegram/tg_event.py
@@ -0,0 +1,57 @@
+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
+from telegram.ext import ExtBot
+
+class TelegramPlatformEvent(AstrMessageEvent):
+    def __init__(self, message_str: str, message_obj: AstrBotMessage, platform_meta: PlatformMetadata, session_id: str, client: ExtBot):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.client = client
+        
+    @staticmethod
+    async def send_with_client(client: ExtBot, message: MessageChain, user_name: str):
+        image_path = None
+        
+        has_reply = False
+        reply_message_id = None
+        at_user_id = None
+        for i in message.chain:
+            if isinstance(i, Reply):
+                has_reply = True
+                reply_message_id = i.id
+            if isinstance(i, At):
+                at_user_id = i.name
+        
+        at_flag = False
+        for i in message.chain:
+            payload = {
+                "chat_id": user_name,
+            }
+            if has_reply:
+                payload["reply_to_message_id"] = reply_message_id
+            
+            if isinstance(i, Plain):
+                if at_user_id and not at_flag:
+                    i.text = f"@{at_user_id} " + i.text
+                    at_flag = True
+                await client.send_message(text=i.text, **payload)
+            elif isinstance(i, Image):
+                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)
+
+    async def send(self, message: MessageChain):
+        if self.get_message_type() == MessageType.GROUP_MESSAGE:
+            await self.send_with_client(self.client, message, self.message_obj.group_id)
+        else:
+            await self.send_with_client(self.client, message, self.get_sender_id())
+        await super().send(message)
--- a/astrbot/core/platform/sources/vchat/vchat_message_event.py
+++ b/astrbot/core/platform/sources/vchat/vchat_message_event.py
@@ -1,44 +0,0 @@
-import random
-import asyncio
-from astrbot.core.utils.io import download_image_by_url
-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
-from vchat import Core
-
-class VChatPlatformEvent(AstrMessageEvent):
-    def __init__(self, message_str: str, message_obj: AstrBotMessage, platform_meta: PlatformMetadata, session_id: str, client: Core):
-        super().__init__(message_str, message_obj, platform_meta, session_id)
-        self.client = client
-        
-    @staticmethod
-    async def send_with_client(client: Core, message: MessageChain, user_name: str):
-        plain = ""
-        for comp in message.chain:
-            if isinstance(comp, Plain):
-                if message.is_split_:
-                    await client.send_msg(comp.text, user_name)
-                else:
-                    plain += comp.text
-            elif isinstance(comp, Image):
-                if comp.file and comp.file.startswith("file:///"):
-                    file_path = comp.file.replace("file:///", "")
-                    with open(file_path, "rb") as f:
-                        await client.send_image(user_name, fd=f)
-                elif comp.file and comp.file.startswith("http"):
-                    image_path = await download_image_by_url(comp.file)
-                    with open(image_path, "rb") as f:
-                        await client.send_image(user_name, fd=f)
-            else:
-                logger.error(f"不支持的 vchat(微信适配器) 消息类型: {comp}")
-            await asyncio.sleep(random.uniform(0.5, 1.5)) # 🤓
-        
-        if plain:
-            await client.send_msg(plain, user_name)
-                
-        
-    async def send(self, message: MessageChain):
-        await VChatPlatformEvent.send_with_client(self.client, message, self.message_obj.raw_message.from_.username)
-        await super().send(message)
-        
--- a/astrbot/core/platform/sources/vchat/vchat_platform_adapter.py
+++ b/astrbot/core/platform/sources/vchat/vchat_platform_adapter.py
@@ -1,120 +0,0 @@
-import sys
-import time
-import uuid
-import asyncio
-import os
-
-from astrbot.api.platform import Platform, AstrBotMessage, MessageMember, MessageType, PlatformMetadata
-from astrbot.api.event import MessageChain
-from astrbot.api.message_components import *
-from astrbot.api import logger
-from astrbot.core.platform.astr_message_event import MessageSesion
-from .vchat_message_event import VChatPlatformEvent
-from ...register import register_platform_adapter
-
-from vchat import Core
-from vchat import model
-
-if sys.version_info >= (3, 12):
-    from typing import override
-else:
-    from typing_extensions import override
-
-@register_platform_adapter("vchat", "基于 VChat 的 Wechat 适配器")
-class VChatPlatformAdapter(Platform):
-
-    def __init__(self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue) -> None:
-        super().__init__(event_queue)
-        self.config = platform_config
-        self.settingss = platform_settings
-        self.test_mode = os.environ.get('TEST_MODE', 'off') == 'on'
-        self.client_self_id = uuid.uuid4().hex[:8]
-    
-    @override
-    async def send_by_session(self, session: MessageSesion, message_chain: MessageChain):
-        from_username = session.session_id.split('$$')[0]
-        await VChatPlatformEvent.send_with_client(self.client, message_chain, from_username)
-        await super().send_by_session(session, message_chain)
-    
-    @override
-    def meta(self) -> PlatformMetadata:
-        return PlatformMetadata(
-            "vchat",
-            "基于 VChat 的 Wechat 适配器",
-        )
-
-    @override
-    def run(self):
-        self.client = Core()
-        @self.client.msg_register(msg_types=model.ContentTypes.TEXT, 
-                                  contact_type=model.ContactTypes.CHATROOM | model.ContactTypes.USER)
-        async def _(msg: model.Message):
-            if isinstance(msg.content, model.UselessContent):
-                return
-            if msg.create_time < self.start_time:
-                logger.debug(f"忽略旧消息: {msg}")
-                return
-            logger.debug(f"收到消息: {msg.todict()}")
-            abmsg = self.convert_message(msg)
-            # await self.handle_msg(abmsg) # 不能直接调用，否则会阻塞
-            asyncio.create_task(self.handle_msg(abmsg))
-        
-        # TODO: 对齐微信服务器时间
-        self.start_time = int(time.time())
-        return self._run()
-    
-
-    async def _run(self):
-        await self.client.init()
-        await self.client.auto_login(hot_reload=True, enable_cmd_qr=True)
-        await self.client.run()
-    
-    def convert_message(self, msg: model.Message) -> AstrBotMessage:
-        # credits: https://github.com/z2z63/astrbot_plugin_vchat/blob/master/main.py#L49
-        assert isinstance(msg.content, model.TextContent)
-        amsg = AstrBotMessage()
-        amsg.message = [Plain(msg.content.content)]
-        amsg.self_id = self.client_self_id
-        if msg.content.is_at_me:
-            amsg.message.insert(0, At(qq=amsg.self_id))
-        
-        sender = msg.chatroom_sender or msg.from_
-        amsg.sender = MessageMember(sender.username, sender.nickname)
-        
-        if msg.content.is_at_me:
-            amsg.message_str = msg.content.content.split("\u2005")[1].strip()
-        else:
-            amsg.message_str = msg.content.content
-        amsg.message_id = msg.message_id
-        if isinstance(msg.from_, model.User):
-            amsg.type = MessageType.FRIEND_MESSAGE
-        elif isinstance(msg.from_, model.Chatroom):
-            amsg.type = MessageType.GROUP_MESSAGE
-            amsg.group_id = msg.from_.username
-        else:
-            logger.error(f"不支持的 Wechat 消息类型: {msg.from_}")
-            
-        amsg.raw_message = msg
-        
-        if self.settingss['unique_session']:
-            session_id = msg.from_.username + "$$" + msg.to.username
-            if msg.chatroom_sender is not None:
-                session_id += '$$' + msg.chatroom_sender.username
-        else:
-            session_id = msg.from_.username
-                
-        amsg.session_id = session_id
-        return amsg
-    
-    async def handle_msg(self, message: AstrBotMessage):
-        message_event = VChatPlatformEvent(
-            message_str=message.message_str,
-            message_obj=message,
-            platform_meta=self.meta(),
-            session_id=message.session_id,
-            client=self.client
-        )
-        
-        logger.info(f"处理消息: {message_event}")
-        
-        self.commit_event(message_event)
--- a/astrbot/core/platform/sources/webchat/webchat_event.py
+++ b/astrbot/core/platform/sources/webchat/webchat_event.py
@@ -1,8 +1,10 @@
 import os
 import uuid
+import base64
+from astrbot.api import logger
 from astrbot.api.event import AstrMessageEvent, MessageChain
 from astrbot.api.message_components import Plain, Image
-from astrbot.core.utils.io import file_to_base64, download_image_by_url
+from astrbot.core.utils.io import download_image_by_url
 from astrbot.core import web_chat_back_queue

 class WebChatMessageEvent(AstrMessageEvent):
@@ -30,6 +32,11 @@ class WebChatMessageEvent(AstrMessageEvent):
                    with open(path, "wb") as f:
                        with open(ph, "rb") as f2:
                            f.write(f2.read())
+                elif comp.file.startswith("base64://"):
+                    base64_str = comp.file[9:]
+                    image_data = base64.b64decode(base64_str)
+                    with open(path, "wb") as f:
+                        f.write(image_data)
                elif comp.file and comp.file.startswith("http"):
                    await download_image_by_url(comp.file, path=path)
                else:
@@ -37,5 +44,7 @@ class WebChatMessageEvent(AstrMessageEvent):
                        with open(comp.file, "rb") as f2:
                            f.write(f2.read())
                web_chat_back_queue.put_nowait((f"[IMAGE]{filename}", cid))
+            else:
+                logger.debug(f"webchat 忽略: {comp.type}")
        web_chat_back_queue.put_nowait(None)
        await super().send(message)
--- a/astrbot/core/platform/sources/wecom/wecom_adapter.py
+++ b/astrbot/core/platform/sources/wecom/wecom_adapter.py
@@ -0,0 +1,230 @@
+import sys
+import uuid
+import asyncio
+import quart
+
+from astrbot.api.platform import Platform, AstrBotMessage, MessageMember, PlatformMetadata, MessageType
+from astrbot.api.event import MessageChain
+from astrbot.api.message_components import Plain, Image, Record
+from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.api.platform import register_platform_adapter
+from astrbot.core import logger
+from requests import Response
+
+from wechatpy.enterprise.crypto import WeChatCrypto
+from wechatpy.enterprise import WeChatClient
+from wechatpy.enterprise.messages import TextMessage, ImageMessage, VoiceMessage
+from wechatpy.exceptions import InvalidSignatureException
+from wechatpy.enterprise import parse_message
+from .wecom_event import WecomPlatformEvent
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+    
+class WecomServer():
+    def __init__(
+            self, 
+            event_queue: asyncio.Queue,
+            config: dict
+        ):
+        self.server = quart.Quart(__name__)
+        self.port = int(config.get("port"))
+        self.server.add_url_rule('/callback/command', view_func=self.verify, methods=['GET'])
+        self.server.add_url_rule('/callback/command', view_func=self.callback_command, methods=['POST'])
+        self.event_queue = event_queue
+        
+        self.crypto = WeChatCrypto(
+            config['token'].strip(),
+            config['encoding_aes_key'].strip(),
+            config['corpid'].strip()
+        )
+
+        self.callback = None
+        
+    async def verify(self):
+        logger.info(f"验证请求有效性: {quart.request.args}")
+        args = quart.request.args
+        try:
+            echo_str = self.crypto.check_signature(
+                args.get('msg_signature'),
+                args.get('timestamp'),
+                args.get('nonce'),
+                args.get('echostr')   
+            )
+            logger.info("验证请求有效性成功。")
+            return echo_str
+        except InvalidSignatureException:
+            logger.error("验证请求有效性失败，签名异常，请检查配置。")
+            raise 
+        
+    async def callback_command(self):
+        data = await quart.request.get_data()
+        msg_signature = quart.request.args.get('msg_signature')
+        timestamp = quart.request.args.get('timestamp')
+        nonce = quart.request.args.get('nonce')
+        try:
+            xml = self.crypto.decrypt_message(
+                data,
+                msg_signature,
+                timestamp,
+                nonce
+            )
+        except InvalidSignatureException:
+            logger.error("解密失败，签名异常，请检查配置。")
+            raise
+        else:
+            msg = parse_message(xml)
+            logger.info(f"解析成功: {msg}")
+            
+            if self.callback:
+                await self.callback(msg)
+            
+        return "success"
+    
+    async def start_polling(self):
+        logger.info(f"将在 0.0.0.0:{self.port} 端口启动 企业微信 适配器。")
+        await self.server.run_task(
+            host='0.0.0.0', 
+            port=self.port, 
+            shutdown_trigger=self.shutdown_trigger_placeholder
+        )
+        
+    async def shutdown_trigger_placeholder(self):
+        while not self.event_queue.closed:
+            await asyncio.sleep(1)
+        logger.info("企业微信 适配器已关闭。")
+        
+
+@register_platform_adapter("wecom", "wecom 适配器")
+class WecomPlatformAdapter(Platform):
+    def __init__(self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue) -> None:
+        super().__init__(event_queue)
+        self.config = platform_config
+        self.settingss = platform_settings
+        self.client_self_id = uuid.uuid4().hex[:8]
+        self.api_base_url = platform_config.get("api_base_url", "https://qyapi.weixin.qq.com/cgi-bin/")
+        
+        if not self.api_base_url:
+            self.api_base_url = "https://qyapi.weixin.qq.com/cgi-bin/"
+            
+        if self.api_base_url.endswith("/"):
+            self.api_base_url = self.api_base_url[:-1]
+        if not self.api_base_url.endswith("/cgi-bin"):
+            self.api_base_url += "/cgi-bin"
+            
+        if not self.api_base_url.endswith("/"):
+            self.api_base_url += "/"
+        
+    @override
+    async def send_by_session(self, session: MessageSesion, message_chain: MessageChain):
+        await super().send_by_session(session, message_chain)
+
+    @override
+    def meta(self) -> PlatformMetadata:
+        return PlatformMetadata(
+            "wecom",
+            "wecom 适配器",
+        )
+
+    @override
+    async def run(self):
+        self.server = WecomServer(
+            self._event_queue,
+            self.config
+        )
+        
+        self.client = WeChatClient(
+            self.config['corpid'].strip(),
+            self.config['secret'].strip(),
+        )
+        self.client.API_BASE_URL = self.api_base_url
+        
+        async def callback(msg):
+            await self.convert_message(msg)
+            
+        self.server.callback = callback
+        
+        await self.server.start_polling()
+        
+    async def convert_message(self, msg):
+        abm = AstrBotMessage()
+        if msg.type == 'text':
+            assert isinstance(msg, TextMessage)
+            abm.message_str = msg.content
+            abm.self_id = str(msg.agent)
+            abm.message = [Plain(msg.content)]
+            abm.type = MessageType.FRIEND_MESSAGE
+            abm.sender = MessageMember(
+                msg.source,
+                msg.source,
+            )
+            abm.message_id = msg.id
+            abm.timestamp = msg.time
+            abm.session_id = abm.sender.user_id
+            abm.raw_message = msg
+        elif msg.type == 'image':
+            assert isinstance(msg, ImageMessage)
+            abm.message_str = "[图片]"
+            abm.self_id = str(msg.agent)
+            abm.message = [Image(file=msg.image, url=msg.image)]
+            abm.type = MessageType.FRIEND_MESSAGE
+            abm.sender = MessageMember(
+                msg.source,
+                msg.source,
+            )
+            abm.message_id = msg.id
+            abm.timestamp = msg.time
+            abm.session_id = abm.sender.user_id
+            abm.raw_message = msg
+        elif msg.type == 'voice':
+            assert isinstance(msg, VoiceMessage)
+            
+            resp: Response = await asyncio.get_event_loop().run_in_executor(
+                None, 
+                self.client.media.download,
+                msg.media_id
+            )
+            path = f"data/temp/wecom_{msg.media_id}.amr"
+            with open(path, 'wb') as f:
+                f.write(resp.content)
+            
+            try:
+                from pydub import AudioSegment
+
+                path_wav = f"data/temp/wecom_{msg.media_id}.wav"
+                audio = AudioSegment.from_file(path)
+                audio.export(path_wav, format="wav")
+            except Exception as e:
+                logger.error(f"转换音频失败: {e}。如果没有安装 ffmpeg 请先安装。")
+                path_wav = path
+                return
+            
+            abm.message_str = ""
+            abm.self_id = str(msg.agent)
+            abm.message = [Record(file=path_wav, url=path_wav)]
+            abm.type = MessageType.FRIEND_MESSAGE
+            abm.sender = MessageMember(
+                msg.source,
+                msg.source,
+            )
+            abm.message_id = msg.id
+            abm.timestamp = msg.time
+            abm.session_id = abm.sender.user_id
+            abm.raw_message = msg
+            
+            
+        
+        logger.info(f"abm: {abm}")
+        await self.handle_msg(abm)
+
+    async def handle_msg(self, message: AstrBotMessage):
+        message_event = WecomPlatformEvent(
+            message_str=message.message_str,
+            message_obj=message,
+            platform_meta=self.meta(),
+            session_id=message.session_id,
+            client=self.client
+        )
+        self.commit_event(message_event)
--- a/astrbot/core/platform/sources/wecom/wecom_event.py
+++ b/astrbot/core/platform/sources/wecom/wecom_event.py
@@ -0,0 +1,103 @@
+import uuid
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.platform import AstrBotMessage, PlatformMetadata
+from astrbot.api.message_components import Plain, Image, Record
+from wechatpy.enterprise import WeChatClient
+from astrbot.core.utils.io import download_image_by_url, download_file
+
+from astrbot.api import logger
+
+try:
+    import pydub
+except Exception:
+    logger.warning(
+        "检测到 pydub 库未安装，企业微信将无法语音收发。如需使用语音，请前往管理面板 -> 控制台 -> 安装 Pip 库安装 pydub。"
+    )
+    pass
+
+
+class WecomPlatformEvent(AstrMessageEvent):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+        client: WeChatClient,
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.client = client
+
+    @staticmethod
+    async def send_with_client(
+        client: WeChatClient, message: MessageChain, user_name: str
+    ):
+        pass
+
+    async def send(self, message: MessageChain):
+        message_obj = self.message_obj
+
+        for comp in message.chain:
+            if isinstance(comp, Plain):
+                self.client.message.send_text(
+                    message_obj.self_id, message_obj.session_id, comp.text
+                )
+            elif isinstance(comp, Image):
+                img_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
+
+                with open(img_path, "rb") as f:
+                    try:
+                        response = self.client.media.upload("image", f)
+                    except Exception as e:
+                        logger.error(f"企业微信上传图片失败: {e}")
+                        await self.send(
+                            MessageChain().message(f"企业微信上传图片失败: {e}")
+                        )
+                        return
+                    logger.info(f"企业微信上传图片返回: {response}")
+                    self.client.message.send_image(
+                        message_obj.self_id,
+                        message_obj.session_id,
+                        response["media_id"],
+                    )
+            elif isinstance(comp, Record):
+                record_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
+
+                # 转成amr
+                record_path_amr = f"data/temp/{uuid.uuid4()}.amr"
+                pydub.AudioSegment.from_wav(record_path).export(
+                    record_path_amr, format="amr"
+                )
+
+                with open(record_path_amr, "rb") as f:
+                    try:
+                        response = self.client.media.upload("voice", f)
+                    except Exception as e:
+                        logger.error(f"企业微信上传语音失败: {e}")
+                        await self.send(
+                            MessageChain().message(f"企业微信上传语音失败: {e}")
+                        )
+                        return
+                    logger.info(f"企业微信上传语音返回: {response}")
+                    self.client.message.send_voice(
+                        message_obj.self_id,
+                        message_obj.session_id,
+                        response["media_id"],
+                    )
+
+        await super().send(message)
--- a/astrbot/core/provider/entites.py
+++ b/astrbot/core/provider/entites.py
@@ -3,6 +3,7 @@ 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 astrbot.core.db.po import Conversation


 class ProviderType(enum.Enum):
@@ -38,15 +39,20 @@ class ProviderRequest():
    '''上下文。格式与 openai 的上下文格式一致：
    参考 https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages
    '''
-    
    system_prompt: str = ""
    '''系统提示词'''
+    conversation: Conversation = None
    
+    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})"
+    
+    def __str__(self):
+        return self.__repr__()
    
@dataclass
 class LLMResponse:
    role: str
-    '''角色'''
+    '''角色, assistant, tool, err'''
    completion_text: str = ""
    '''LLM 返回的文本'''
    tools_call_args: List[Dict[str, any]] = field(default_factory=list)
--- a/astrbot/core/provider/func_tool_manager.py
+++ b/astrbot/core/provider/func_tool_manager.py
@@ -102,6 +102,29 @@ class FuncCall:
            )
        return _l
    
+    def get_func_desc_anthropic_style(self) -> list:
+        """
+        获得 Anthropic API 风格的**已经激活**的工具描述
+        """
+        tools = []
+        for f in self.func_list:
+            if not f.active:
+                continue
+
+            # Convert internal format to Anthropic style
+            tool = {
+                "name": f.name,
+                "description": f.description,
+                "input_schema": {
+                    "type": "object",
+                    "properties": f.parameters.get("properties", {}),
+                    # Keep the required field from the original parameters if it exists
+                    "required": f.parameters.get("required", [])
+                }
+            }
+            tools.append(tool)
+        return tools
+    
    def get_func_desc_google_genai_style(self) -> Dict:
        declarations = {}
        tools = []
@@ -121,7 +144,8 @@ class FuncCall:

            tools.append(func_declaration)

-        declarations["function_declarations"] = tools
+        if tools:
+            declarations["function_declarations"] = tools
        return declarations
        

--- a/astrbot/core/provider/manager.py
+++ b/astrbot/core/provider/manager.py
@@ -1,11 +1,9 @@
 import traceback
-import uuid
 from astrbot.core.config.astrbot_config import AstrBotConfig
 from .provider import Provider, STTProvider, TTSProvider, Personality
 from .entites import ProviderType
 from typing import List
 from astrbot.core.db import BaseDatabase
-from collections import defaultdict
 from .register import provider_cls_map, llm_tools
 from astrbot.core import logger, sp

@@ -16,6 +14,14 @@ class ProviderManager():
        self.provider_stt_settings: dict = config.get('provider_stt_settings', {})
        self.provider_tts_settings: dict = config.get('provider_tts_settings', {})
        self.persona_configs: list = config.get('persona', [])
+        self.astrbot_config = config
+        
+        self.selected_provider_id = sp.get("curr_provider")
+        self.selected_stt_provider_id = self.provider_stt_settings.get("provider_id")
+        self.selected_tts_provider_id = self.provider_settings.get("provider_id")
+        self.provider_enabled = self.provider_settings.get("enable", False)
+        self.stt_enabled = self.provider_stt_settings.get("enable", False)
+        self.tts_enabled = self.provider_tts_settings.get("enable", False)
        
        # 人格情景管理
        # 目前没有拆成独立的模块
@@ -66,14 +72,24 @@ class ProviderManager():
        if not self.selected_default_persona and len(self.personas) > 0:
            # 默认选择第一个
            self.selected_default_persona = self.personas[0]
-        
-        
+            
+        if not self.selected_default_persona:
+            self.selected_default_persona = Personality(
+                prompt="You are a helpful and friendly assistant.",
+                name="default",
+                _begin_dialogs_processed=[],
+                _mood_imitation_dialogs_processed=""
+            )
+            self.personas.append(self.selected_default_persona)
+
        self.provider_insts: List[Provider] = []
        '''加载的 Provider 的实例'''
        self.stt_provider_insts: List[STTProvider] = []
        '''加载的 Speech To Text Provider 的实例'''
        self.tts_provider_insts: List[TTSProvider] = []
        '''加载的 Text To Speech Provider 的实例'''
+        self.inst_map = {}
+        '''Provider 实例映射. key: provider_id, value: Provider 实例'''
        self.llm_tools = llm_tools
        self.curr_provider_inst: Provider = None
        '''当前使用的 Provider 实例'''
@@ -81,7 +97,6 @@ class ProviderManager():
        '''当前使用的 Speech To Text Provider 实例'''
        self.curr_tts_provider_inst: TTSProvider = None
        '''当前使用的 Text To Speech Provider 实例'''
-        self.loaded_ids = defaultdict(bool)
        self.db_helper = db_helper
        
        # kdb(experimental)
@@ -89,140 +104,172 @@ class ProviderManager():
        kdb_cfg = config.get("knowledge_db", {})
        if kdb_cfg and len(kdb_cfg):
            self.curr_kdb_name = list(kdb_cfg.keys())[0]
-        
-        changed = False
-        for provider_cfg in self.providers_config:
-            if not provider_cfg['enable']:
-                continue
-            
-            if provider_cfg['id'] in self.loaded_ids:
-                new_id = f"{provider_cfg['id']}_{str(uuid.uuid4())[:8]}"
-                logger.info(f"Provider ID 重复：{provider_cfg['id']}。已自动更改为 {new_id}。")
-                provider_cfg['id'] = new_id
-                changed = True
-            self.loaded_ids[provider_cfg['id']] = True
-            
-            try:
-                match provider_cfg['type']:
-                    case "openai_chat_completion":
-                        from .sources.openai_source import ProviderOpenAIOfficial # noqa: F401
-                    case "zhipu_chat_completion":
-                        from .sources.zhipu_source import ProviderZhipu # noqa: F401
-                    case "llm_tuner":
-                        logger.info("加载 LLM Tuner 工具 ...")
-                        from .sources.llmtuner_source import LLMTunerModelLoader # noqa: F401
-                    case "dify":
-                        from .sources.dify_source import ProviderDify # noqa: F401
-                    case "googlegenai_chat_completion":
-                        from .sources.gemini_source import ProviderGoogleGenAI # noqa: F401
-                    case "openai_whisper_api":
-                        from .sources.whisper_api_source import ProviderOpenAIWhisperAPI # noqa: F401
-                    case "openai_whisper_selfhost":
-                        from .sources.whisper_selfhosted_source import ProviderOpenAIWhisperSelfHost # noqa: F401
-                    case "openai_tts_api":
-                        from .sources.openai_tts_api_source import ProviderOpenAITTSAPI # noqa: F401
-            except (ImportError, ModuleNotFoundError) as e:
-                logger.critical(f"加载 {provider_cfg['type']}({provider_cfg['id']}) 提供商适配器失败：{e}。可能是因为有未安装的依赖。")
-                continue
-            except Exception as e:
-                logger.critical(f"加载 {provider_cfg['type']}({provider_cfg['id']}) 提供商适配器失败：{e}。未知原因")
-                continue
-        
-        if changed:
-            try:
-                config.save_config()
-            except Exception as e:
-                logger.warning(f"保存配置文件失败：{e}")
+    

    async def initialize(self):
-        
-        selected_provider_id = sp.get("curr_provider")
-        selected_stt_provider_id = self.provider_stt_settings.get("provider_id")
-        selected_tts_provider_id = self.provider_settings.get("provider_id")
-        provider_enabled = self.provider_settings.get("enable", False)
-        stt_enabled = self.provider_stt_settings.get("enable", False)
-        tts_enabled = self.provider_tts_settings.get("enable", False)
-            
        for provider_config in self.providers_config:
-            if not provider_config['enable']:
-                continue
-            if provider_config['type'] not in provider_cls_map:
-                logger.error(f"未找到适用于 {provider_config['type']}({provider_config['id']}) 的提供商适配器，请检查是否已经安装或者名称填写错误。已跳过。")
-                continue
+            await self.load_provider(provider_config)

-            provider_metadata = provider_cls_map[provider_config['type']]
-            logger.info(f"尝试实例化 {provider_config['type']}({provider_config['id']}) 提供商适配器 ...")
-            try:
-                # 按任务实例化提供商
-                
-                if provider_metadata.provider_type == ProviderType.SPEECH_TO_TEXT:
-                    # STT 任务
-                    inst = provider_metadata.cls_type(provider_config, self.provider_settings)
-                    
-                    if getattr(inst, "initialize", None):
-                        await inst.initialize()
-                    
-                    self.stt_provider_insts.append(inst)
-                    if selected_stt_provider_id == provider_config['id'] and stt_enabled:
-                        self.curr_stt_provider_inst = inst
-                        logger.info(f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前语音转文本提供商适配器。")
-                        
-                elif provider_metadata.provider_type == ProviderType.TEXT_TO_SPEECH:
-                    # TTS 任务
-                    inst = provider_metadata.cls_type(provider_config, self.provider_settings)
-                    
-                    if getattr(inst, "initialize", None):
-                        await inst.initialize()
-                    
-                    self.tts_provider_insts.append(inst)
-                    if selected_tts_provider_id == provider_config['id'] and tts_enabled:
-                        self.curr_tts_provider_inst = inst
-                        logger.info(f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前文本转语音提供商适配器。")
-                    
-                elif provider_metadata.provider_type == ProviderType.CHAT_COMPLETION:
-                    # 文本生成任务
-                    inst = provider_metadata.cls_type(
-                        provider_config, 
-                        self.provider_settings, 
-                        self.db_helper,
-                        self.provider_settings.get('persistant_history', True),
-                        self.selected_default_persona
-                    )
-                    
-                    if getattr(inst, "initialize", None):
-                        await inst.initialize()
-                    
-                    self.provider_insts.append(inst)
-                    if selected_provider_id == provider_config['id'] and provider_enabled:
-                        self.curr_provider_inst = inst
-                        logger.info(f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前提供商适配器。")
-                        
-            except Exception as e:
-                traceback.print_exc()
-                logger.error(f"实例化 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}")
-        
-        if len(self.provider_insts) > 0 and not self.curr_provider_inst and provider_enabled:
-            self.curr_provider_inst = self.provider_insts[0]
-            
-        if len(self.stt_provider_insts) > 0 and not self.curr_stt_provider_inst and stt_enabled:
-            self.curr_stt_provider_inst = self.stt_provider_insts[0]
-            
-        if len(self.tts_provider_insts) > 0 and not self.curr_tts_provider_inst and tts_enabled:
-            self.curr_tts_provider_inst = self.tts_provider_insts[0]
-            
        if not self.curr_provider_inst:
            logger.warning("未启用任何用于 文本生成 的提供商适配器。")
            
-        if stt_enabled and not self.curr_stt_provider_inst:
+        if self.stt_enabled and not self.curr_stt_provider_inst:
                logger.warning("未启用任何用于 语音转文本 的提供商适配器。")
        
-        if tts_enabled and not self.curr_tts_provider_inst:
+        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。")
+                
+    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 ...")
+        logger.debug(f"Provider Config: {provider_config}")
+        
+        # 动态导入
+        try:
+            match provider_config['type']:
+                case "openai_chat_completion":
+                    from .sources.openai_source import ProviderOpenAIOfficial as ProviderOpenAIOfficial
+                case "zhipu_chat_completion":
+                    from .sources.zhipu_source import ProviderZhipu as ProviderZhipu
+                case "anthropic_chat_completion":
+                    from .sources.anthropic_source import ProviderAnthropic as ProviderAnthropic
+                case "llm_tuner":
+                    logger.info("加载 LLM Tuner 工具 ...")
+                    from .sources.llmtuner_source import LLMTunerModelLoader as LLMTunerModelLoader
+                case "dify":
+                    from .sources.dify_source import ProviderDify as ProviderDify
+                case "dashscope":
+                    from .sources.dashscope_source import ProviderDashscope as ProviderDashscope
+                case "googlegenai_chat_completion":
+                    from .sources.gemini_source import ProviderGoogleGenAI as ProviderGoogleGenAI
+                case "sensevoice_stt_selfhost":
+                    from .sources.sensevoice_selfhosted_source import ProviderSenseVoiceSTTSelfHost as ProviderSenseVoiceSTTSelfHost
+                case "openai_whisper_api":
+                    from .sources.whisper_api_source import ProviderOpenAIWhisperAPI as ProviderOpenAIWhisperAPI
+                case "openai_whisper_selfhost":
+                    from .sources.whisper_selfhosted_source import ProviderOpenAIWhisperSelfHost as ProviderOpenAIWhisperSelfHost
+                case "openai_tts_api":
+                    from .sources.openai_tts_api_source import ProviderOpenAITTSAPI as ProviderOpenAITTSAPI
+                case "edge_tts":
+                    from .sources.edge_tts_source import ProviderEdgeTTS as ProviderEdgeTTS
+                case "fishaudio_tts_api":
+                    from .sources.fishaudio_tts_api_source import ProviderFishAudioTTSAPI as ProviderFishAudioTTSAPI
+        except (ImportError, ModuleNotFoundError) as e:
+            logger.critical(f"加载 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}。可能是因为有未安装的依赖。")
+            return
+        except Exception as e:
+            logger.critical(f"加载 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}。未知原因")
+            return
+
+        if provider_config['type'] not in provider_cls_map:
+            logger.error(f"未找到适用于 {provider_config['type']}({provider_config['id']}) 的提供商适配器，请检查是否已经安装或者名称填写错误。已跳过。")
+            return
+
+        provider_metadata = provider_cls_map[provider_config['type']]
+        try:
+            # 按任务实例化提供商
+            
+            if provider_metadata.provider_type == ProviderType.SPEECH_TO_TEXT:
+                # STT 任务
+                inst = provider_metadata.cls_type(provider_config, self.provider_settings)
+                
+                if getattr(inst, "initialize", None):
+                    await inst.initialize()
+                
+                self.stt_provider_insts.append(inst)
+                if self.selected_stt_provider_id == provider_config['id'] and self.stt_enabled:
+                    self.curr_stt_provider_inst = inst
+                    logger.info(f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前语音转文本提供商适配器。")
+                if not self.curr_stt_provider_inst and self.stt_enabled:
+                    self.curr_stt_provider_inst = inst
+                    
+            elif provider_metadata.provider_type == ProviderType.TEXT_TO_SPEECH:
+                # TTS 任务
+                inst = provider_metadata.cls_type(provider_config, self.provider_settings)
+                
+                if getattr(inst, "initialize", None):
+                    await inst.initialize()
+                
+                self.tts_provider_insts.append(inst)
+                if self.selected_tts_provider_id == provider_config['id'] and self.tts_enabled:
+                    self.curr_tts_provider_inst = inst
+                    logger.info(f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前文本转语音提供商适配器。")
+                if not self.curr_tts_provider_inst and self.tts_enabled:
+                    self.curr_tts_provider_inst = inst
+                
+            elif provider_metadata.provider_type == ProviderType.CHAT_COMPLETION:
+                # 文本生成任务
+                inst = provider_metadata.cls_type(
+                    provider_config, 
+                    self.provider_settings, 
+                    self.db_helper,
+                    self.provider_settings.get('persistant_history', True),
+                    self.selected_default_persona
+                )
+                
+                if getattr(inst, "initialize", None):
+                    await inst.initialize()
+                
+                self.provider_insts.append(inst)
+                if self.selected_provider_id == provider_config['id'] and self.provider_enabled:
+                    self.curr_provider_inst = inst
+                    logger.info(f"已选择 {provider_config['type']}({provider_config['id']}) 作为当前提供商适配器。")
+                if not self.curr_provider_inst and self.provider_enabled:
+                    self.curr_provider_inst = inst
+            
+            self.inst_map[provider_config['id']] = inst
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            logger.error(f"实例化 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}")
+
+    async def reload(self, provider_config: dict):
+        await self.terminate_provider(provider_config['id'])
+        if provider_config['enable']:
+            await self.load_provider(provider_config)
+        
+        # 和配置文件保持同步
+        config_ids = [provider['id'] for provider in self.providers_config]
+        for key in list(self.inst_map.keys()):
+            if key not in config_ids:
+                await self.terminate_provider(key)
+                
+        if len(self.provider_insts) == 0:
+            self.curr_provider_inst = None
+        if len(self.stt_provider_insts) == 0:
+            self.curr_stt_provider_inst = None
+        if len(self.tts_provider_insts) == 0:
+            self.curr_tts_provider_inst = None

    def get_insts(self):
        return self.provider_insts
    
+    async def terminate_provider(self, provider_id: str):
+        if provider_id in self.inst_map:
+            
+            logger.info(f"终止 {provider_id} 提供商适配器({len(self.provider_insts)}, {len(self.stt_provider_insts)}, {len(self.tts_provider_insts)}) ...")
+            
+            if self.inst_map[provider_id] in self.provider_insts:
+                self.provider_insts.remove(self.inst_map[provider_id])
+            if self.inst_map[provider_id] in self.stt_provider_insts:
+                self.stt_provider_insts.remove(self.inst_map[provider_id])
+            if self.inst_map[provider_id] in self.tts_provider_insts:
+                self.tts_provider_insts.remove(self.inst_map[provider_id])
+
+            if self.inst_map[provider_id] == self.curr_provider_inst:
+                self.curr_provider_inst = None
+            if self.inst_map[provider_id] == self.curr_stt_provider_inst:
+                self.curr_stt_provider_inst = None
+            if self.inst_map[provider_id] == self.curr_tts_provider_inst:
+                self.curr_tts_provider_inst = None
+                
+            if getattr(self.inst_map[provider_id], 'terminate', None):
+                await self.inst_map[provider_id].terminate()
+            
+            logger.info(f"{provider_id} 提供商适配器已终止({len(self.provider_insts)}, {len(self.stt_provider_insts)}, {len(self.tts_provider_insts)})")
+            del self.inst_map[provider_id]
+                        
    async def terminate(self):
        for provider_inst in self.provider_insts:
            if hasattr(provider_inst, "terminate"):
--- a/astrbot/core/provider/provider.py
+++ b/astrbot/core/provider/provider.py
@@ -8,6 +8,8 @@ from typing import TypedDict
 from astrbot.core.provider.func_tool_manager import FuncCall
 from astrbot.core.provider.entites import LLMResponse
 from dataclasses import dataclass
+
+
 class Personality(TypedDict):
    prompt: str = ""
    name: str = ""
@@ -15,8 +17,8 @@ class Personality(TypedDict):
    mood_imitation_dialogs: List[str] = []
    
    # cache
-    _begin_dialogs_processed: List[dict]
-    _mood_imitation_dialogs_processed: str
+    _begin_dialogs_processed: List[dict] = []
+    _mood_imitation_dialogs_processed: str = ""
    
    
@dataclass
@@ -60,25 +62,11 @@ class Provider(AbstractProvider):
    ) -> None:
        super().__init__(provider_config)
        
-        self.session_memory = defaultdict(list)
-        '''维护了 session_id 的上下文，**不包含 system 指令**。'''
-        
        self.provider_settings = provider_settings
        
        self.curr_personality: Personality = default_persona
        '''维护了当前的使用的 persona，即人格。可能为 None'''
-        
-        self.db_helper = db_helper
-        '''用于持久化的数据库操作对象。'''

-        if persistant_history:
-            # 读取历史记录
-            try:
-                for history in db_helper.get_llm_history(provider_type=provider_config['id']):
-                    self.session_memory[history.session_id] = json.loads(history.content)
-            except BaseException as e:
-                logger.warning(f"读取 LLM 对话历史记录 失败：{e}。仍可正常使用。")
-    
    @abc.abstractmethod
    def get_current_key(self) -> str:
        raise NotImplementedError()
@@ -96,22 +84,6 @@ class Provider(AbstractProvider):
        '''获得支持的模型列表'''
        raise NotImplementedError()
    
-    @abc.abstractmethod
-    async def get_human_readable_context(self, session_id: str, page: int, page_size: int):
-        '''获取人类可读的上下文
-        
-        page 从 1 开始
-
-        Example:
-            
-            ["User: 你好", "Assistant: 你好！"]
-            
-        Return:
-            contexts: List[str]: 上下文列表
-            total_pages: int: 总页数
-        '''
-        raise NotImplementedError()
-    
    @abc.abstractmethod
    async def text_chat(self,
                        prompt: str,
@@ -125,26 +97,35 @@ class Provider(AbstractProvider):
        
        Args:
            prompt: 提示词
-            session_id: 会话 ID
+            session_id: 会话 ID(此属性已经被废弃)
            image_urls: 图片 URL 列表
            tools: Function-calling 工具
            contexts: 上下文
            kwargs: 其他参数
            
        Notes:
-            - 如果传入了 contexts，将会提前加上上下文。否则使用 session_memory 中的上下文。
-            - 可以选择性地传入 session_id，如果传入了 session_id，将会使用 session_id 对应的上下文进行对话，
-            并且也会记录相应的对话上下文，实现多轮对话。如果不传入则不会记录上下文。
            - 如果传入了 image_urls，将会在对话时附上图片。如果模型不支持图片输入，将会抛出错误。
            - 如果传入了 tools，将会使用 tools 进行 Function-calling。如果模型不支持 Function-calling，将会抛出错误。
        '''
        raise NotImplementedError()
-    
-    @abc.abstractmethod
-    async def forget(self, session_id: str) -> bool:
-        '''重置某一个 session_id 的上下文'''
-        raise NotImplementedError()

+    async def pop_record(self, context: List):
+        '''
+        弹出 context 第一条非系统提示词对话记录
+        '''
+        poped = 0
+        indexs_to_pop = []
+        for idx, record in enumerate(context):
+            if record["role"] == "system":
+                continue
+            else:
+                indexs_to_pop.append(idx)
+                poped += 1
+                if poped == 2:
+                    break
+                
+        for idx in reversed(indexs_to_pop):
+            context.pop(idx)

        
 class STTProvider(AbstractProvider):
--- a/astrbot/core/provider/sources/anthropic_source.py
+++ b/astrbot/core/provider/sources/anthropic_source.py
@@ -0,0 +1,189 @@
+from typing import List
+from mimetypes import guess_type
+
+from anthropic import AsyncAnthropic
+from anthropic.types import Message
+
+from astrbot.core.utils.io import download_image_by_url
+from astrbot.core.db import BaseDatabase
+from astrbot.api.provider import Provider, Personality
+from astrbot import logger
+from astrbot.core.provider.func_tool_manager import FuncCall
+from ..register import register_provider_adapter
+from astrbot.core.provider.entites import LLMResponse
+from .openai_source import ProviderOpenAIOfficial
+
+@register_provider_adapter("anthropic_chat_completion", "Anthropic Claude API 提供商适配器")
+class ProviderAnthropic(ProviderOpenAIOfficial):
+    def __init__(
+        self,
+        provider_config: dict,
+        provider_settings: dict,
+        db_helper: BaseDatabase,
+        persistant_history = True,
+        default_persona: Personality = None
+    ) -> None:
+        # Skip OpenAI's __init__ and call Provider's __init__ directly
+        Provider.__init__(self, provider_config, provider_settings, persistant_history, db_helper, default_persona)
+
+        self.chosen_api_key = None
+        self.api_keys: List = provider_config.get("key", [])
+        self.chosen_api_key = self.api_keys[0] if len(self.api_keys) > 0 else None
+        self.base_url = provider_config.get("api_base", "https://api.anthropic.com")
+        self.timeout = provider_config.get("timeout", 120)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+
+        self.client = AsyncAnthropic(
+            api_key=self.chosen_api_key,
+            timeout=self.timeout,
+            base_url=self.base_url
+        )
+        
+        self.set_model(provider_config['model_config']['model'])
+
+    async def _query(self, payloads: dict, tools: FuncCall) -> LLMResponse:
+        if tools:
+            tool_list = tools.get_func_desc_anthropic_style()
+            if tool_list:
+                payloads['tools'] = tool_list
+
+        completion = await self.client.messages.create(
+            **payloads,
+            stream=False
+        )
+
+        assert isinstance(completion, Message)
+        logger.debug(f"completion: {completion}")
+
+        if len(completion.content) == 0:
+            raise Exception("API 返回的 completion 为空。")
+        # TODO: 如果进行函数调用，思维链被截断，用户可能需要思维链的内容
+        # 选最后一条消息，如果要进行函数调用，anthropic会先返回文本消息的思维链，然后再返回函数调用请求
+        content = completion.content[-1]
+        
+        llm_response = LLMResponse("assistant")
+                
+        if content.type == "text":
+            # text completion
+            completion_text = str(content.text).strip()
+            llm_response.completion_text = completion_text
+        
+        # Anthropic每次只返回一个函数调用
+        if completion.stop_reason == "tool_use":
+            # tools call (function calling)
+            args_ls = []
+            func_name_ls = []
+            func_name_ls.append(content.name)
+            args_ls.append(content.input)
+            llm_response.role = "tool"
+            llm_response.tools_call_args = args_ls
+            llm_response.tools_call_name = func_name_ls
+
+        if not llm_response.completion_text and not llm_response.tools_call_args:
+            logger.error(f"API 返回的 completion 无法解析：{completion}。")
+            raise Exception(f"API 返回的 completion 无法解析：{completion}。")
+        
+        llm_response.raw_completion = completion
+        
+        return llm_response
+        
+    async def text_chat(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = [],
+        func_tool: FuncCall = None,
+        contexts=[],
+        system_prompt=None,
+        **kwargs
+    ) -> LLMResponse:
+        
+        if not prompt:
+            prompt = "<image>"
+    
+        new_record = await self.assemble_context(prompt, image_urls)
+        context_query = [*contexts, new_record]
+
+        for part in context_query:
+            if '_no_save' in part:
+                del part['_no_save']
+
+        model_config = self.provider_config.get("model_config", {})
+
+        payloads = {
+            "messages": context_query,
+            **model_config
+        }
+        # Anthropic has a different way of handling system prompts
+        if system_prompt:
+            payloads['system'] = system_prompt
+
+        llm_response = None
+        try:
+            llm_response = await self._query(payloads, func_tool)
+
+        except Exception as e:
+            if "maximum context length" in str(e):
+                retry_cnt = 20
+                while retry_cnt > 0:
+                    logger.warning(f"上下文长度超过限制。尝试弹出最早的记录然后重试。当前记录条数: {len(context_query)}")
+                    try:
+                        await self.pop_record(context_query)
+                        response = await self.client.messages.create(
+                            messages=context_query,
+                            **model_config
+                        )
+                        llm_response = LLMResponse("assistant")
+                        llm_response.completion_text = response.content[0].text
+                        llm_response.raw_completion = response
+                        return llm_response
+                    except Exception as e:
+                        if "maximum context length" in str(e):
+                            retry_cnt -= 1
+                        else:
+                            raise e
+                return LLMResponse("err", "err: 请尝试 /reset 清除会话记录。")
+            else:
+                logger.error(f"发生了错误。Provider 配置如下: {model_config}")
+                raise e
+            
+        return llm_response
+
+    async def assemble_context(self, text: str, image_urls: List[str] = None):
+        '''组装上下文，支持文本和图片'''
+        if not image_urls:
+            return {"role": "user", "content": text}
+            
+        content = []
+        content.append({"type": "text", "text": text})
+        
+        for image_url in image_urls:
+            if image_url.startswith("http"):
+                image_path = await download_image_by_url(image_url)
+                image_data = await self.encode_image_bs64(image_path)
+            elif image_url.startswith("file:///"):
+                image_path = image_url.replace("file:///", "")
+                image_data = await self.encode_image_bs64(image_path)
+            else:
+                image_data = await self.encode_image_bs64(image_url)
+                
+            if not image_data:
+                logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
+                continue
+                
+            # Get mime type for the image
+            mime_type, _ = guess_type(image_url)
+            if not mime_type:
+                mime_type = "image/jpeg"  # Default to JPEG if can't determine
+                
+            content.append({
+                "type": "image",
+                "source": {
+                    "type": "base64",
+                    "media_type": mime_type,
+                    "data": image_data.split("base64,")[1] if "base64," in image_data else image_data
+                }
+            })
+            
+        return {"role": "user", "content": content}
--- a/astrbot/core/provider/sources/dashscope_source.py
+++ b/astrbot/core/provider/sources/dashscope_source.py
@@ -0,0 +1,128 @@
+import asyncio
+import functools
+from typing import List
+from .. import Provider, Personality
+from ..entites import LLMResponse
+from ..func_tool_manager import FuncCall
+from astrbot.core.db import BaseDatabase
+from ..register import register_provider_adapter
+from .openai_source import ProviderOpenAIOfficial
+from astrbot.core import logger, sp
+from dashscope import Application
+
+
+@register_provider_adapter("dashscope", "Dashscope APP 适配器。")
+class ProviderDashscope(ProviderOpenAIOfficial):
+    def __init__(
+        self,
+        provider_config: dict,
+        provider_settings: dict,
+        db_helper: BaseDatabase,
+        persistant_history=False,
+        default_persona: Personality = None,
+    ) -> None:
+        Provider.__init__(
+            self,
+            provider_config,
+            provider_settings,
+            persistant_history,
+            db_helper,
+            default_persona,
+        )
+        self.api_key = provider_config.get("dashscope_api_key", "")
+        if not self.api_key:
+            raise Exception("阿里云百炼 API Key 不能为空。")
+        self.app_id = provider_config.get("dashscope_app_id", "")
+        if not self.app_id:
+            raise Exception("阿里云百炼 APP ID 不能为空。")
+        self.dashscope_app_type = provider_config.get("dashscope_app_type", "")
+        if not self.dashscope_app_type:
+            raise Exception("阿里云百炼 APP 类型不能为空。")
+        self.model_name = "dashscope"
+        self.variables: dict = provider_config.get("variables", {})
+
+        self.timeout = provider_config.get("timeout", 120)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+
+    async def text_chat(
+        self,
+        prompt: str,
+        session_id: str = None,
+        image_urls: List[str] = [],
+        func_tool: FuncCall = None,
+        contexts: List = None,
+        system_prompt: str = None,
+        **kwargs,
+    ) -> LLMResponse:
+        # 获得会话变量
+        payload_vars = self.variables.copy()
+        # 动态变量
+        session_vars = sp.get("session_variables", {})
+        session_var = session_vars.get(session_id, {})
+        payload_vars.update(session_var)
+
+        if self.dashscope_app_type in ["agent", "dialog-workflow"]:
+            # 支持多轮对话的
+            new_record = {"role": "user", "content": prompt}
+            if image_urls:
+                logger.warning("阿里云百炼暂不支持图片输入，将自动忽略图片内容。")
+            contexts_no_img = await self._remove_image_from_context(contexts)
+            context_query = [*contexts_no_img, new_record]
+            if system_prompt:
+                context_query.insert(0, {"role": "system", "content": system_prompt})
+            for part in context_query:
+                if "_no_save" in part:
+                    del part["_no_save"]
+            # 调用阿里云百炼 API
+            partial = functools.partial(
+                Application.call,
+                app_id=self.app_id,
+                api_key=self.api_key,
+                messages=context_query,
+                biz_params=payload_vars or None,
+            )
+            response = await asyncio.get_event_loop().run_in_executor(None, partial)
+        else:
+            # 不支持多轮对话的
+            # 调用阿里云百炼 API
+            partial = functools.partial(
+                Application.call,
+                app_id=self.app_id,
+                promtp=prompt,
+                api_key=self.api_key,
+                biz_params=payload_vars or None,
+            )
+            response = await asyncio.get_event_loop().run_in_executor(None, partial)
+
+        logger.debug(f"dashscope resp: {response}")
+
+        if response.status_code != 200:
+            logger.error(
+                f"阿里云百炼请求失败: request_id={response.request_id}, code={response.status_code}, message={response.message}, 请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
+            )
+            return LLMResponse(
+                role="err",
+                completion_text=f"阿里云百炼请求失败: message={response.message} code={response.status_code}",
+            )
+
+        output_text = response.output.get("text", "")
+        return LLMResponse(role="assistant", completion_text=output_text)
+
+    async def forget(self, session_id):
+        return True
+
+    async def get_current_key(self):
+        return self.api_key
+
+    async def set_key(self, key):
+        raise Exception("阿里云百炼 适配器不支持设置 API Key。")
+
+    async def get_models(self):
+        return [self.get_model()]
+
+    async def get_human_readable_context(self, session_id, page, page_size):
+        raise Exception("暂不支持获得 阿里云百炼 的历史消息记录。")
+
+    async def terminate(self):
+        pass
--- a/astrbot/core/provider/sources/dify_source.py
+++ b/astrbot/core/provider/sources/dify_source.py
@@ -31,15 +31,22 @@ class ProviderDify(Provider):
            raise Exception("Dify API 类型不能为空。")
        self.model_name = "dify"
        self.workflow_output_key = provider_config.get("dify_workflow_output_key", "astrbot_wf_output")
-        
+        self.dify_query_input_key = provider_config.get("dify_query_input_key", "astrbot_text_query")
+        self.variables: dict = provider_config.get("variables", {})
+        if not self.dify_query_input_key:
+            self.dify_query_input_key = "astrbot_text_query"
+        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'''


    async def text_chat(
        self,
        prompt: str,
        session_id: str = None,
-        image_urls: List[str] = None,
+        image_urls: List[str] = [],
        func_tool: FuncCall = None,
        contexts: List = None,
        system_prompt: str = None,
@@ -64,62 +71,78 @@ class ProviderDify(Provider):
            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。")
-            
-        logger.debug(files_payload)
        
        # 获得会话变量
+        payload_vars = self.variables.copy()
+        # 动态变量
        session_vars = sp.get("session_variables", {})
        session_var = session_vars.get(session_id, {})
+        payload_vars.update(session_var)
+        
+        try:
+            match self.api_type:
+                case "chat" | "agent":
+                    async for chunk in self.api_client.chat_messages(
+                        inputs={
+                            **payload_vars,
+                        },
+                        query=prompt,
+                        user=session_id,
+                        conversation_id=conversation_id,
+                        files=files_payload,
+                        timeout=self.timeout
+                    ):
+                        logger.debug(f"dify resp chunk: {chunk}")
+                        if chunk['event'] == "message" or \
+                            chunk['event'] == "agent_message":
+                            result += chunk['answer']
+                            if not conversation_id:
+                                self.conversation_ids[session_id] = chunk['conversation_id']
+                                conversation_id = chunk['conversation_id']
+                        elif chunk['event'] == 'message_end':
+                            logger.debug("Dify message end")
+                            break
+                        elif chunk['event'] == 'error':
+                            logger.error(f"Dify 出现错误：{chunk}")
+                            raise Exception(f"Dify 出现错误 status: {chunk['status']} message: {chunk['message']}")
+                
+                case "workflow":
+                    async for chunk in self.api_client.workflow_run(
+                        inputs={
+                            self.dify_query_input_key: prompt,
+                            "astrbot_session_id": session_id,
+                            **payload_vars,
+                        },
+                        user=session_id,
+                        files=files_payload,
+                        timeout=self.timeout
+                    ):
+                        match chunk['event']:
+                            case "workflow_started":
+                                logger.info(f"Dify 工作流(ID: {chunk['workflow_run_id']})开始运行。")
+                            case "node_finished":
+                                logger.debug(f"Dify 工作流节点(ID: {chunk['data']['node_id']} Title: {chunk['data'].get('title', '')})运行结束。")
+                            case "workflow_finished":
+                                logger.info(f"Dify 工作流(ID: {chunk['workflow_run_id']})运行结束。")
+                                if chunk['data']['error']:
+                                    logger.error(f"Dify 工作流出现错误：{chunk['data']['error']}")
+                                    raise Exception(f"Dify 工作流出现错误：{chunk['data']['error']}")
+                                if self.workflow_output_key not in chunk['data']['outputs']:
+                                    raise Exception(f"Dify 工作流的输出不包含指定的键名：{self.workflow_output_key}")
+                                result = chunk['data']['outputs'][self.workflow_output_key]
+                case _:
+                    raise Exception(f"未知的 Dify API 类型：{self.api_type}")
+        except Exception as e:
+            logger.error(f"Dify 请求失败：{str(e)}")
+            return LLMResponse(role="err", completion_text=f"Dify 请求失败：{str(e)}")
+        
+        if not result:
+            logger.warning("Dify 请求结果为空，请查看 Debug 日志。")
        
-        match self.api_type:
-            case "chat" | "agent":
-                async for chunk in self.api_client.chat_messages(
-                    inputs={
-                        **session_var
-                    },
-                    query=prompt,
-                    user=session_id,
-                    conversation_id=conversation_id,
-                    files=files_payload
-                ):
-                    logger.debug(f"dify resp chunk: {chunk}")
-                    if chunk['event'] == "message" or \
-                        chunk['event'] == "agent_message":
-                        result += chunk['answer']
-                        if not conversation_id:
-                            self.conversation_ids[session_id] = chunk['conversation_id']
-                            conversation_id = chunk['conversation_id']
-            
-            case "workflow":
-                async for chunk in self.api_client.workflow_run(
-                    inputs={
-                        "astrbot_text_query": prompt,
-                        "astrbot_session_id": session_id,
-                        **session_var
-                    },
-                    user=session_id,
-                    files=files_payload
-                ):
-                    match chunk['event']:
-                        case "workflow_started":
-                            logger.info(f"Dify 工作流(ID: {chunk['workflow_run_id']})开始运行。")
-                        case "node_finished":
-                            logger.debug(f"Dify 工作流节点(ID: {chunk['data']['node_id']} Title: {chunk['data'].get('title', '')})运行结束。")
-                        case "workflow_finished":
-                            logger.info(f"Dify 工作流(ID: {chunk['workflow_run_id']})运行结束。")
-                            if chunk['data']['error']:
-                                logger.error(f"Dify 工作流出现错误：{chunk['data']['error']}")
-                                raise Exception(f"Dify 工作流出现错误：{chunk['data']['error']}")
-                            if self.workflow_output_key not in chunk['data']['outputs']:
-                                raise Exception(f"Dify 工作流的输出不包含指定的键名：{self.workflow_output_key}")
-                            result = chunk['data']['outputs'][self.workflow_output_key]
-            case _:
-                raise Exception(f"未知的 Dify API 类型：{self.api_type}")
-
        return LLMResponse(role="assistant", completion_text=result)

    async def forget(self, session_id):
-        self.conversation_ids.pop(session_id, None)
+        self.conversation_ids[session_id] = ""
        return True

    async def get_current_key(self):
--- a/astrbot/core/provider/sources/edge_tts_source.py
+++ b/astrbot/core/provider/sources/edge_tts_source.py
@@ -0,0 +1,90 @@
+import uuid
+import os
+import edge_tts
+import subprocess
+from ..provider import TTSProvider
+from ..entites import ProviderType
+from ..register import register_provider_adapter
+from astrbot.core import logger
+
+"""
+edge_tts 方式，能够免费、快速生成语音，使用需要先安装edge-tts库
+```
+pip install edge_tts
+```
+Windows 如果提示找不到指定文件，以管理员身份运行命令行窗口，然后再次运行 AstrBot
+"""
+
+@register_provider_adapter("edge_tts", "Microsoft Edge TTS", provider_type=ProviderType.TEXT_TO_SPEECH)
+class ProviderEdgeTTS(TTSProvider):
+    def __init__(
+        self, 
+        provider_config: dict, 
+        provider_settings: dict,
+    ) -> None:
+        super().__init__(provider_config, provider_settings)
+        
+        # 设置默认语音，如果没有指定则使用中文小萱
+        self.voice = provider_config.get("edge-tts-voice", "zh-CN-XiaoxiaoNeural")
+        self.rate = provider_config.get("rate", None)
+        self.volume = provider_config.get("volume", None)
+        self.pitch = provider_config.get("pitch", None)
+        self.timeout = provider_config.get("timeout", 30)
+        
+        self.set_model("edge_tts")
+        
+    async def get_audio(self, text: str) -> str:
+        os.makedirs("data/temp", exist_ok=True)
+        mp3_path = f'data/temp/edge_tts_temp_{uuid.uuid4()}.mp3'
+        wav_path = f'data/temp/edge_tts_{uuid.uuid4()}.wav'
+        
+        # 构建Edge TTS参数
+        kwargs = {"text": text, "voice": self.voice}
+        if self.rate:
+            kwargs["rate"] = self.rate
+        if self.volume:
+            kwargs["volume"] = self.volume
+        if self.pitch:
+            kwargs["pitch"] = self.pitch
+        
+        try:
+            communicate = edge_tts.Communicate(**kwargs)
+            await communicate.save(mp3_path)
+            
+            # 使用ffmpeg将MP3转换为标准WAV格式
+            _ = subprocess.run([
+                "ffmpeg",
+                "-y",                   # 覆盖输出文件
+                "-i", mp3_path,         # 输入文件
+                "-acodec", "pcm_s16le", # 16位PCM编码
+                "-ar", "24000",         # 采样率24kHz (适合微信语音)
+                "-ac", "1",             # 单声道
+                wav_path                # 输出文件
+            ], capture_output=True, check=True)
+            
+
+            os.remove(mp3_path)
+            if os.path.exists(wav_path) and os.path.getsize(wav_path) > 0:
+                return wav_path
+            else:
+                logger.error("生成的WAV文件不存在或为空")
+                raise RuntimeError("生成的WAV文件不存在或为空")
+                
+        except subprocess.CalledProcessError as e:
+            logger.error(f"FFmpeg转换失败: {e.stderr.decode() if e.stderr else str(e)}")
+            try:
+                if os.path.exists(mp3_path):
+                    os.remove(mp3_path)
+            except:
+                pass
+            raise RuntimeError(f"FFmpeg转换失败: {str(e)}")
+            
+        except Exception as e:
+            logger.error(f"音频生成失败: {str(e)}")
+            try:
+                if os.path.exists(mp3_path):
+                    os.remove(mp3_path)
+            except:
+                pass
+            raise RuntimeError(f"音频生成失败: {str(e)}")
+    
--- a/astrbot/core/provider/sources/fishaudio_tts_api_source.py
+++ b/astrbot/core/provider/sources/fishaudio_tts_api_source.py
@@ -0,0 +1,105 @@
+import uuid
+import ormsgpack
+from pydantic import BaseModel, conint
+from httpx import AsyncClient
+from typing import Annotated, Literal
+from ..provider import TTSProvider
+from ..entites import ProviderType
+from ..register import register_provider_adapter
+
+
+class ServeReferenceAudio(BaseModel):
+    audio: bytes
+    text: str
+
+
+class ServeTTSRequest(BaseModel):
+    text: str
+    chunk_length: Annotated[int, conint(ge=100, le=300, strict=True)] = 200
+    # 音频格式
+    format: Literal["wav", "pcm", "mp3"] = "mp3"
+    mp3_bitrate: Literal[64, 128, 192] = 128
+    # 参考音频
+    references: list[ServeReferenceAudio] = []
+    # 参考模型 ID
+    # 例如 https://fish.audio/m/7f92f8afb8ec43bf81429cc1c9199cb1/
+    # 其中reference_id为 7f92f8afb8ec43bf81429cc1c9199cb1
+    reference_id: str | None = None
+    # 对中英文文本进行标准化，这可以提高数字的稳定性
+    normalize: bool = True
+    # 平衡模式将延迟减少到300毫秒，但可能会降低稳定性
+    latency: Literal["normal", "balanced"] = "normal"
+
+
+@register_provider_adapter(
+    "fishaudio_tts_api", "FishAudio TTS API", provider_type=ProviderType.TEXT_TO_SPEECH
+)
+class ProviderFishAudioTTSAPI(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.character: str = provider_config.get("fishaudio-tts-character", "可莉")
+        self.api_base: str = provider_config.get(
+            "api_base", "https://api.fish-audio.cn/v1"
+        )
+        self.headers = {
+            "Authorization": f"Bearer {self.chosen_api_key}",
+        }
+        self.set_model(provider_config.get("model", None))
+
+    async def _get_reference_id_by_character(self, character: str) -> str:
+        """
+        获取角色的reference_id
+
+        Args:
+            character: 角色名称
+
+        Returns:
+            reference_id: 角色的reference_id
+
+        exception:
+            APIException: 获取语音角色列表为空
+        """
+        sort_options = ["score", "task_count", "created_at"]
+        async with AsyncClient(base_url=self.api_base.replace("/v1", "")) as client:
+            for sort_by in sort_options:
+                params = {"title": character, "sort_by": sort_by}
+                response = await client.get(
+                    "/model", params=params, headers=self.headers
+                )
+                resp_data = response.json()
+                if resp_data["total"] == 0:
+                    continue
+                for item in resp_data["items"]:
+                    if character in item["title"]:
+                        return item["_id"]
+            return None
+
+    async def _generate_request(self, text: str) -> dict:
+        return ServeTTSRequest(
+            text=text,
+            format="wav",
+            reference_id=await self._get_reference_id_by_character(self.character),
+        )
+
+    async def get_audio(self, text: str) -> str:
+        path = f"data/temp/fishaudio_tts_api_{uuid.uuid4()}.wav"
+        self.headers["content-type"] = "application/msgpack"
+        request = await self._generate_request(text)
+        async with AsyncClient(base_url=self.api_base).stream(
+            "POST",
+            "/tts",
+            headers=self.headers,
+            content=ormsgpack.packb(request, option=ormsgpack.OPT_SERIALIZE_PYDANTIC),
+        ) as response:
+            if response.headers["content-type"] == "audio/wav":
+                with open(path, "wb") as f:
+                    async for chunk in response.aiter_bytes():
+                        f.write(chunk)
+                return path
+            text = await response.aread()
+            raise Exception(f"Fish Audio API请求失败: {text}")
--- a/astrbot/core/provider/sources/gemini_source.py
+++ b/astrbot/core/provider/sources/gemini_source.py
@@ -1,7 +1,6 @@
-import traceback
 import base64
-import json
 import aiohttp
+import random
 from astrbot.core.utils.io import download_image_by_url
 from astrbot.core.db import BaseDatabase
 from astrbot.api.provider import Provider, Personality
@@ -12,17 +11,18 @@ from ..register import register_provider_adapter
 from astrbot.core.provider.entites import LLMResponse

 class SimpleGoogleGenAIClient():
-    def __init__(self, api_key: str, api_base: str):
+    def __init__(self, api_key: str, api_base: str, timeout: int=120) -> None:
        self.api_key = api_key
        if api_base.endswith("/"):
            self.api_base = api_base[:-1]
        else:
            self.api_base = api_base
        self.client = aiohttp.ClientSession(trust_env=True)
+        self.timeout = timeout
        
    async def models_list(self) -> List[str]:
        request_url = f"{self.api_base}/v1beta/models?key={self.api_key}"
-        async with self.client.get(request_url, timeout=10) as resp:
+        async with self.client.get(request_url, timeout=self.timeout) as resp:
            response = await resp.json()
            
            models = []
@@ -48,9 +48,19 @@ class SimpleGoogleGenAIClient():
        payload["contents"] = contents
        logger.debug(f"payload: {payload}")
        request_url = f"{self.api_base}/v1beta/models/{model}:generateContent?key={self.api_key}"
-        async with self.client.post(request_url, json=payload, timeout=10) as resp:
-            response = await resp.json()
-            return response
+        async with self.client.post(request_url, json=payload, timeout=self.timeout) as resp:
+            if "application/json" in resp.headers.get("Content-Type"):
+                try:
+                    response = await resp.json()
+                except Exception as e:
+                    text = await resp.text()
+                    logger.error(f"Gemini 返回了非 json 数据: {text}")
+                    raise e
+                return response
+            else:
+                text = await resp.text()
+                logger.error(f"Gemini 返回了非 json 数据: {text}")
+                raise Exception("Gemini 返回了非 json 数据： ")


@register_provider_adapter("googlegenai_chat_completion", "Google Gemini Chat Completion 提供商适配器")
@@ -67,66 +77,19 @@ class ProviderGoogleGenAI(Provider):
        self.chosen_api_key = None
        self.api_keys: List = provider_config.get("key", [])
        self.chosen_api_key = self.api_keys[0] if len(self.api_keys) > 0 else None
-        
+        self.timeout = provider_config.get("timeout", 180)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
        self.client = SimpleGoogleGenAIClient(
            api_key=self.chosen_api_key,
-            api_base=provider_config.get("api_base", None)
+            api_base=provider_config.get("api_base", None),
+            timeout=self.timeout
        )
        self.set_model(provider_config['model_config']['model'])
-    
-    async def get_human_readable_context(self, session_id, page, page_size):
-        if session_id not in self.session_memory:
-            raise Exception("会话 ID 不存在")
-        contexts = []
-        temp_contexts = []
-        for record in self.session_memory[session_id]:
-            if record['role'] == "user":
-                temp_contexts.append(f"User: {record['content']}")
-            elif record['role'] == "assistant":
-                temp_contexts.append(f"Assistant: {record['content']}")
-                contexts.insert(0, temp_contexts)
-                temp_contexts = []
-
-        # 展平 contexts 列表
-        contexts = [item for sublist in contexts for item in sublist]
-
-        # 计算分页
-        paged_contexts = contexts[(page-1)*page_size:page*page_size]
-        total_pages = len(contexts) // page_size
-        if len(contexts) % page_size != 0:
-            total_pages += 1
-        
-        return paged_contexts, total_pages

    async def get_models(self):
        return await self.client.models_list()
    
-    async def pop_record(self, session_id: str, pop_system_prompt: bool = False):
-        '''
-        弹出第一条记录
-        '''
-        if session_id not in self.session_memory:
-            raise Exception("会话 ID 不存在")
-
-        if len(self.session_memory[session_id]) == 0:
-            return None
-
-        for i in range(len(self.session_memory[session_id])):
-            # 检查是否是 system prompt
-            if not pop_system_prompt and self.session_memory[session_id][i]['user']['role'] == "system":
-                # 如果只有一个 system prompt，才不删掉
-                f = False
-                for j in range(i+1, len(self.session_memory[session_id])):
-                    if self.session_memory[session_id][j]['user']['role'] == "system":
-                        f = True
-                        break
-                if not f:
-                    continue
-            record = self.session_memory[session_id].pop(i)
-            break
-
-        return record
-    
    async def _query(self, payloads: dict, tools: FuncCall) -> LLMResponse:
        tool = None
        if tools:
@@ -144,6 +107,9 @@ class ProviderGoogleGenAI(Provider):
        for message in payloads["messages"]:
            if message["role"] == "user":
                if isinstance(message["content"], str):
+                    if not message['content']:
+                        message['content'] = "<empty_content>"
+                    
                    google_genai_conversation.append({
                        "role": "user",
                        "parts": [{"text": message["content"]}]
@@ -153,6 +119,8 @@ class ProviderGoogleGenAI(Provider):
                    parts = []
                    for part in message["content"]:
                        if part["type"] == "text":
+                            if not part["text"]:
+                                part["text"] = "<empty_content>"
                            parts.append({"text": part["text"]})
                        elif part["type"] == "image_url":
                            parts.append({"inline_data": {
@@ -165,12 +133,13 @@ class ProviderGoogleGenAI(Provider):
                    })
                        
            elif message["role"] == "assistant":
+                if not message["content"]:
+                    message["content"] = "<empty_content>"
                google_genai_conversation.append({
                    "role": "model",
                    "parts": [{"text": message["content"]}]
                })
-                
-        
+
        logger.debug(f"google_genai_conversation: {google_genai_conversation}")
        
        result = await self.client.generate_content(
@@ -181,6 +150,9 @@ class ProviderGoogleGenAI(Provider):
        )
        logger.debug(f"result: {result}")
        
+        if "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")
        for candidate in candidates:
@@ -190,82 +162,84 @@ class ProviderGoogleGenAI(Provider):
                llm_response.role = "tool"
                llm_response.tools_call_args.append(candidate['functionCall']['args'])
                llm_response.tools_call_name.append(candidate['functionCall']['name'])
-            
+        
+        llm_response.completion_text = llm_response.completion_text.strip()
        return llm_response

-
    async def text_chat(
        self,
        prompt: str,
-        session_id: str,
+        session_id: str = None,
        image_urls: List[str]=None,
        func_tool: FuncCall=None,
-        contexts=None,
+        contexts=[],
        system_prompt=None,
        **kwargs
    ) -> LLMResponse: 
        new_record = await self.assemble_context(prompt, image_urls)
        context_query = []
-        if not contexts:
-            context_query = [*self.session_memory[session_id], new_record]
-        else:
-            context_query = [*contexts, new_record]
+        context_query = [*contexts, new_record]
        if system_prompt:
            context_query.insert(0, {"role": "system", "content": system_prompt})
            
        for part in context_query:
            if '_no_save' in part:
                del part['_no_save']
+                
+        model_config = self.provider_config.get("model_config", {})
+        model_config['model'] = self.get_model()

        payloads = {
            "messages": context_query,
-            **self.provider_config.get("model_config", {})
+            **model_config
        }
-
-        try:
-            llm_response = await self._query(payloads, func_tool)
-            await self.save_history(contexts, new_record, session_id, llm_response)
-            return llm_response
-        except Exception as e:
-            if "maximum context length" in str(e):
-                retry_cnt = 10
-                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。")
-                    try:
-                        self.pop_record(session_id)
-                        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
-            else:
-                raise e
-    
-    async def save_history(self, contexts: List, new_record: dict, session_id: str, llm_response: LLMResponse):
-        if llm_response.role == "assistant" and session_id:
-            # 文本回复
-            if not contexts:
-                # 添加用户 record
-                self.session_memory[session_id].append(new_record)
-                # 添加 assistant record
-                self.session_memory[session_id].append({
-                    "role": "assistant",
-                    "content": llm_response.completion_text
-                })
-            else:
-                contexts_to_save = list(filter(lambda item: '_no_save' not in item, contexts))
-                self.session_memory[session_id] = [*contexts_to_save, new_record, {
-                    "role": "assistant",
-                    "content": llm_response.completion_text
-                }]
-            self.db_helper.update_llm_history(session_id, json.dumps(self.session_memory[session_id]), self.provider_config['id'])
+        llm_response = None
        
-    async def forget(self, session_id: str) -> bool:
-        self.session_memory[session_id] = []
-        self.db_helper.update_llm_history(session_id, json.dumps(self.session_memory[session_id]), self.provider_config['id'])
-        return True
+        retry = 10
+        keys = self.api_keys.copy()
+        chosen_key = random.choice(keys)
+        
+        for i in range(retry):
+            try:
+                self.client.api_key = chosen_key 
+                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):
+                    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]}...")
+                        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...")
+                else:
+                    logger.error(f"发生了错误(gemini_source)。Provider 配置如下: {self.provider_config}")
+                    raise e
+
+        return llm_response

    def get_current_key(self) -> str:
        return self.client.api_key
@@ -286,8 +260,14 @@ class ProviderGoogleGenAI(Provider):
                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:
@@ -302,4 +282,8 @@ class ProviderGoogleGenAI(Provider):
        with open(image_url, "rb") as f:
            image_bs64 = base64.b64encode(f.read()).decode('utf-8')
            return "data:image/jpeg;base64," + image_bs64
-        return ''
+        return ''
+    
+    async def terminate(self):
+        await self.client.client.close()
+        logger.info("Google GenAI 适配器已终止。")
--- a/astrbot/core/provider/sources/llmtuner_source.py
+++ b/astrbot/core/provider/sources/llmtuner_source.py
@@ -57,20 +57,13 @@ class LLMTunerModelLoader(Provider):
        session_id: str = None,
        image_urls: List[str] = None,
        func_tool: FuncCall = None,
-        contexts: List = None,
+        contexts: List = [],
        system_prompt: str = None,
        **kwargs,
    ) -> LLMResponse:
        system_prompt = ""
        new_record = {"role": "user", "content": prompt}
-        if not contexts:
-            query_context = [
-                *self.session_memory[session_id],
-                new_record,
-            ]
-            system_prompt = self.curr_personality["prompt"]
-        else:
-            query_context = [*contexts, new_record]
+        query_context = [*contexts, new_record]

        # 提取出系统提示
        system_idxs = []
@@ -96,34 +89,8 @@ class LLMTunerModelLoader(Provider):
        responses = await self.model.achat(**conf)

        llm_response = LLMResponse("assistant", responses[-1].response_text)
-        
-        await self.save_history(contexts, new_record, session_id, llm_response)
-        
+                
        return llm_response
-   
-    async def save_history(self, contexts: List, new_record: dict, session_id: str, llm_response: LLMResponse):
-        if llm_response.role == "assistant" and session_id:
-            # 文本回复
-            if not contexts:
-                # 添加用户 record
-                self.session_memory[session_id].append(new_record)
-                # 添加 assistant record
-                self.session_memory[session_id].append({
-                    "role": "assistant",
-                    "content": llm_response.completion_text
-                })
-            else:
-                contexts_to_save = list(filter(lambda item: '_no_save' not in item, contexts))
-                self.session_memory[session_id] = [*contexts_to_save, new_record, {
-                    "role": "assistant",
-                    "content": llm_response.completion_text
-                }]
-            self.db_helper.update_llm_history(session_id, json.dumps(self.session_memory[session_id]), self.provider_config['id'])
-        
-    async def forget(self, session_id):
-        self.session_memory[session_id] = []
-        self.db_helper.update_llm_history(session_id, json.dumps(self.session_memory[session_id]), self.provider_config['id'])
-        return True

    async def get_current_key(self):
        return "none"
@@ -132,28 +99,4 @@ class LLMTunerModelLoader(Provider):
        pass

    async def get_models(self):
-        return [self.get_model()]
-
-    async def get_human_readable_context(self, session_id, page, page_size):
-        if session_id not in self.session_memory:
-            raise Exception("会话 ID 不存在")
-        contexts = []
-        temp_contexts = []
-        for record in self.session_memory[session_id]:
-            if record["role"] == "user":
-                temp_contexts.append(f"User: {record['content']}")
-            elif record["role"] == "assistant":
-                temp_contexts.append(f"Assistant: {record['content']}")
-                contexts.insert(0, temp_contexts)
-                temp_contexts = []
-
-        # 展平 contexts 列表
-        contexts = [item for sublist in contexts for item in sublist]
-
-        # 计算分页
-        paged_contexts = contexts[(page - 1) * page_size : page * page_size]
-        total_pages = len(contexts) // page_size
-        if len(contexts) % page_size != 0:
-            total_pages += 1
-
-        return paged_contexts, total_pages
+        return [self.get_model()]
--- a/astrbot/core/provider/sources/openai_source.py
+++ b/astrbot/core/provider/sources/openai_source.py
@@ -1,10 +1,11 @@
 import base64
 import json
-import re
+import os
+import inspect

-from openai import AsyncOpenAI, NOT_GIVEN
+from openai import AsyncOpenAI, AsyncAzureOpenAI
 from openai.types.chat.chat_completion import ChatCompletion
-from openai._exceptions import NotFoundError
+from openai._exceptions import NotFoundError, UnprocessableEntityError
 from astrbot.core.utils.io import download_image_by_url

 from astrbot.core.db import BaseDatabase
@@ -29,104 +30,82 @@ class ProviderOpenAIOfficial(Provider):
        self.chosen_api_key = None
        self.api_keys: List = provider_config.get("key", [])
        self.chosen_api_key = self.api_keys[0] if len(self.api_keys) > 0 else None
-
-        self.client = AsyncOpenAI(
-            api_key=self.chosen_api_key,
-            base_url=provider_config.get("api_base", None),
-            timeout=provider_config.get("timeout", NOT_GIVEN),
-        )
-        self.set_model(provider_config['model_config']['model'])
-    
-    async def get_human_readable_context(self, session_id, page, page_size):
-        if session_id not in self.session_memory:
-            raise Exception("会话 ID 不存在")
-        contexts = []
-        temp_contexts = []
-        for record in self.session_memory[session_id]:
-            if record['role'] == "user":
-                temp_contexts.append(f"User: {record['content']}")
-            elif record['role'] == "assistant":
-                temp_contexts.append(f"Assistant: {record['content']}")
-                contexts.insert(0, temp_contexts)
-                temp_contexts = []
-
-        # 展平 contexts 列表
-        contexts = [item for sublist in contexts for item in sublist]
-
-        # 计算分页
-        paged_contexts = contexts[(page-1)*page_size:page*page_size]
-        total_pages = len(contexts) // page_size
-        if len(contexts) % page_size != 0:
-            total_pages += 1
+        self.timeout = provider_config.get("timeout", 120)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+        # 适配 azure openai #332
+        if "api_version" in provider_config:
+            # 使用 azure api
+            self.client = AsyncAzureOpenAI(
+                api_key=self.chosen_api_key,
+                api_version=provider_config.get("api_version", None),
+                base_url=provider_config.get("api_base", None),
+                timeout=self.timeout
+            )
+        else:
+            # 使用 openai api
+            self.client = AsyncOpenAI(
+                api_key=self.chosen_api_key,
+                base_url=provider_config.get("api_base", None),
+                timeout=self.timeout
+            )
        
-        return paged_contexts, total_pages
+        self.default_params = inspect.signature(self.client.chat.completions.create).parameters.keys()
+        
+        model_config = provider_config.get("model_config", {})
+        model = model_config.get("model", "unknown")
+        self.set_model(model)

    async def get_models(self):
        try:
            models_str = []
            models = await self.client.models.list()
-            models = models.data
+            models = sorted(models.data, key=lambda x: x.id)
            for model in models:
                models_str.append(model.id)
            return models_str
        except NotFoundError as e:
            raise Exception(f"获取模型列表失败：{e}")
    
-    async def pop_record(self, session_id: str):
-        '''
-        弹出最早的一个对话
-        '''
-        if session_id not in self.session_memory:
-            raise Exception("会话 ID 不存在")
-
-        if len(self.session_memory[session_id]) < 2:
-            return
-        
-        try:
-            self.session_memory[session_id].pop(0)
-            self.session_memory[session_id].pop(0)
-        except IndexError:
-            pass
-    
    async def _query(self, payloads: dict, tools: FuncCall) -> LLMResponse:
        if tools:
            tool_list = tools.get_func_desc_openai_style()
            if tool_list:
                payloads['tools'] = tool_list
-        
-        completion = None
-        try:
-            completion = await self.client.chat.completions.create(
-                **payloads,
-                stream=False
-            )
-        except BaseException as e:
-            # 处理不支持 Function Calling 的模型
-            if '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): # siliconcloud
-                    del payloads['tools']
-                    logger.debug(f"模型 {self.model_name} 不支持 tools，已自动移除")
-                    completion = await self.client.chat.completions.create(
-                        **payloads,
-                        stream=False
-                    )
-            else:
-                raise e
-        
-        assert isinstance(completion, ChatCompletion)
+
+        # 不在默认参数中的参数放在 extra_body 中
+        extra_body = {}
+        to_del = []
+        for key in payloads.keys():
+            if key not in self.default_params:
+                extra_body[key] = payloads[key]
+                to_del.append(key)
+        for key in to_del:
+            del payloads[key]
+
+        completion = await self.client.chat.completions.create(
+            **payloads,
+            stream=False,
+            extra_body=extra_body
+        )
+
+        if not isinstance(completion, ChatCompletion):
+            raise Exception(f"API 返回的 completion 类型错误：{type(completion)}: {completion}。")
+
        logger.debug(f"completion: {completion}")

        if len(completion.choices) == 0:
            raise Exception("API 返回的 completion 为空。")
        choice = completion.choices[0]
        
+        llm_response = LLMResponse("assistant")
+                
        if choice.message.content:
            # text completion
            completion_text = str(choice.message.content).strip()
-
-            return LLMResponse("assistant", completion_text, raw_completion=completion)
-        elif choice.message.tool_calls:
+            llm_response.completion_text = completion_text
+        
+        if choice.message.tool_calls:
            # tools call (function calling)
            args_ls = []
            func_name_ls = []
@@ -136,89 +115,136 @@ class ProviderOpenAIOfficial(Provider):
                        args = json.loads(tool_call.function.arguments)
                        args_ls.append(args)
                        func_name_ls.append(tool_call.function.name)
-            return LLMResponse(role="tool", tools_call_args=args_ls, tools_call_name=func_name_ls, raw_completion=completion)
-        else:
+            llm_response.role = "tool"
+            llm_response.tools_call_args = args_ls
+            llm_response.tools_call_name = func_name_ls
+            
+        if choice.finish_reason == 'content_filter':
+            raise Exception("API 返回的 completion 由于内容安全过滤被拒绝(非 AstrBot)。")
+
+        if not llm_response.completion_text and not llm_response.tools_call_args:
            logger.error(f"API 返回的 completion 无法解析：{completion}。")
-            raise Exception("Internal Error")
+            raise Exception(f"API 返回的 completion 无法解析：{completion}。")
+        
+        llm_response.raw_completion = completion
+        
+        return llm_response

    async def text_chat(
        self,
        prompt: str,
-        session_id: str,
-        image_urls: List[str]=None,
+        session_id: str=None,
+        image_urls: List[str]=[],
        func_tool: FuncCall=None,
-        contexts=None,
+        contexts=[],
        system_prompt=None,
        **kwargs
    ) -> LLMResponse: 
        new_record = await self.assemble_context(prompt, image_urls)
-        context_query = []
-        if not contexts:
-            context_query = [*self.session_memory[session_id], new_record]
-        else:
-            context_query = [*contexts, new_record]
+        context_query = [*contexts, new_record]
        if system_prompt:
            context_query.insert(0, {"role": "system", "content": system_prompt})

        for part in context_query:
            if '_no_save' in part:
                del part['_no_save']
+                
+                
+        model_config = self.provider_config.get("model_config", {})
+        model_config['model'] = self.get_model()

        payloads = {
            "messages": context_query,
-            **self.provider_config.get("model_config", {})
+            **model_config
        }
-
+        llm_response = None
        try:
            llm_response = await self._query(payloads, func_tool)
-            if kwargs.get("persist", True):
-                await self.save_history(contexts, new_record, session_id, llm_response)
-            return llm_response
+        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):
-                retry_cnt = 10
+                # 重试 10 次
+                retry_cnt = 20
                while retry_cnt > 0:
-                    logger.warning("上下文长度超过限制。尝试弹出最早的记录然后重试。")
+                    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(session_id)
+                        await self.pop_record(context_query)
                        llm_response = await self._query(payloads, func_tool)
-                        if kwargs.get("persist", True):
-                            await self.save_history(contexts, new_record, session_id, llm_response)
-                        return llm_response
+                        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
+                # 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():
+                    logger.error("疑似该模型不支持函数调用工具调用。请输入 /tool off_all")
+                
+                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
        
+        return llm_response
    
-    async def save_history(self, contexts: List, new_record: dict, session_id: str, llm_response: LLMResponse):
-        if llm_response.role == "assistant" and session_id:
-            # 文本回复
-            if not contexts:
-                # 添加用户 record
-                self.session_memory[session_id].append(new_record)
-                # 添加 assistant record
-                self.session_memory[session_id].append({
-                    "role": "assistant",
-                    "content": llm_response.completion_text
-                })
-            else:
-                contexts_to_save = list(filter(lambda item: '_no_save' not in item, contexts))
-                self.session_memory[session_id] = [*contexts_to_save, new_record, {
-                    "role": "assistant",
-                    "content": llm_response.completion_text
-                }]
-            self.db_helper.update_llm_history(session_id, json.dumps(self.session_memory[session_id]), self.provider_config['id'])
+    async def _remove_image_from_context(self, contexts: List):
+        '''
+        从上下文中删除所有带有 image 的记录
+        '''
+        new_contexts = []
        
-    async def forget(self, session_id: str) -> bool:
-        self.session_memory[session_id] = []
-        self.db_helper.update_llm_history(session_id, json.dumps(self.session_memory[session_id]), self.provider_config['id'])
-        return True
-
+        flag = False
+        for context in contexts:
+            if flag:
+                flag = False # 删除 image 后，下一条（LLM 响应）也要删除
+                continue
+            if isinstance(context['content'], list):
+                flag = True
+                # continue
+                new_content = []
+                for item in context['content']:
+                    if isinstance(item, dict) and 'image_url' in item:
+                        continue
+                    new_content.append(item)
+                if not new_content:
+                    # 用户只发了图片
+                    new_content = [{"type": "text", "text": "[图片]"}]
+                context['content'] = new_content
+            new_contexts.append(context)
+        return new_contexts
+    
    def get_current_key(self) -> str:
        return self.client.api_key

@@ -238,10 +264,14 @@ class ProviderOpenAIOfficial(Provider):
                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:
-                    if image_url.startswith("file:///"):
-                        image_url = image_url.replace("file:///", "")
                    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:
--- a/astrbot/core/provider/sources/sensevoice_selfhosted_source.py
+++ b/astrbot/core/provider/sources/sensevoice_selfhosted_source.py
@@ -0,0 +1,105 @@
+'''
+Author: diudiu62
+Date: 2025-02-24 18:04:18
+LastEditTime: 2025-02-25 14:06:30
+'''
+import asyncio
+from datetime import datetime
+import os
+import re
+from funasr_onnx import SenseVoiceSmall
+from funasr_onnx.utils.postprocess_utils import rich_transcription_postprocess
+from ..provider import STTProvider
+from ..entites import ProviderType
+from astrbot.core.utils.io import download_file
+from ..register import register_provider_adapter
+from astrbot.core import logger
+from astrbot.core.utils.tencent_record_helper import tencent_silk_to_wav
+
+@register_provider_adapter("sensevoice_stt_selfhost", "SenseVoice 自托管语音识别 模型部署", provider_type=ProviderType.SPEECH_TO_TEXT)
+class ProviderSenseVoiceSTTSelfHost(STTProvider):
+    def __init__(
+        self, 
+        provider_config: dict, 
+        provider_settings: dict,
+    ) -> None:
+        super().__init__(provider_config, provider_settings)
+        self.set_model(provider_config.get("stt_model", None))
+        self.model = None
+        self.is_emotion = provider_config.get("is_emotion", False)
+    
+    async def initialize(self):
+        logger.info("下载或者加载 SenseVoice 模型中，这可能需要一些时间 ...")
+      
+
+        # 将模型加载放到线程池中执行
+        self.model = await asyncio.get_event_loop().run_in_executor(
+            None,
+            lambda: SenseVoiceSmall(self.model_name, quantize=True, batch_size=16)
+        )
+
+        logger.info("SenseVoice 模型加载完成。")
+    
+    async def get_timestamped_path(self) -> str:
+        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:
+            file_header = f.read(8)
+
+        if silk_header in file_header:
+            return True
+        else:
+            return False
+
+    async def get_text(self, audio_url: str) -> str:
+        try:
+            is_tencent = audio_url.startswith("http") and "multimedia.nt.qq.com.cn" in audio_url
+            
+            if is_tencent:
+                path = await self.get_timestamped_path()
+                await download_file(audio_url, path)
+                audio_url = path
+                
+            if not os.path.isfile(audio_url):
+                raise FileNotFoundError(f"文件不存在: {audio_url}")
+
+            if audio_url.endswith((".amr", ".silk")) or is_tencent:
+                is_silk = await self._is_silk_file(audio_url)
+                if is_silk:
+                    logger.info("Converting silk file to wav ...")
+                    output_path = await self.get_timestamped_path()+'.wav'
+                    await tencent_silk_to_wav(audio_url, output_path)
+                    audio_url = output_path
+
+            # 使用 run_in_executor 来调用模型进行识别
+            loop = asyncio.get_event_loop()
+            res = await loop.run_in_executor(
+                None,  # 使用默认的线程池
+                lambda: self.model(audio_url, language="auto", use_itn=True)
+            )
+
+            # res = self.model(audio_url, language="auto", use_itn=True)
+            logger.debug(f"SenseVoice识别到的文案：{res}")
+            text = rich_transcription_postprocess(res[0])
+            if self.is_emotion:
+                # 提取第二个匹配的值
+                matches = re.findall(r'<\|([^|]+)\|>', res[0])
+                if len(matches) >= 2:
+                    emotion = matches[1]
+                    text = f"(当前的情绪：{emotion}) {text}"
+                else:
+                    logger.warning("未能提取到情绪信息")
+            return text
+        except Exception as e:
+            logger.error(f"处理音频文件时出错: {e}")
+            raise
--- a/astrbot/core/provider/sources/zhipu_source.py
+++ b/astrbot/core/provider/sources/zhipu_source.py
@@ -22,24 +22,21 @@ class ProviderZhipu(ProviderOpenAIOfficial):
    async def text_chat(
        self,
        prompt: str,
-        session_id: str,
+        session_id: str = None,
        image_urls: List[str]=None,
        func_tool: FuncCall=None,
-        contexts=None,
+        contexts=[],
        system_prompt=None,
        **kwargs
    ) -> LLMResponse: 
        new_record = await self.assemble_context(prompt, image_urls)
        context_query = []
        
-        if not contexts:
-            context_query = [*self.session_memory[session_id], new_record]
-        else:
-            context_query = [*contexts, new_record]
+        context_query = [*contexts, new_record]
        
        model_cfgs: dict = self.provider_config.get("model_config", {})
+        model = self.get_model()
        # glm-4v-flash 只支持一张图片
-        model: str = model_cfgs.get("model", "")
        if model.lower() == 'glm-4v-flash' and image_urls and len(context_query) > 1:
            logger.debug("glm-4v-flash 只支持一张图片，将只保留最后一张图片")
            logger.debug(context_query)
@@ -62,7 +59,6 @@ class ProviderZhipu(ProviderOpenAIOfficial):
        }
        try:
            llm_response = await self._query(payloads, func_tool)
-            await self.save_history(contexts, new_record, session_id, llm_response)
            return llm_response
        except Exception as e:
            if "maximum context length" in str(e):
--- a/astrbot/core/star/context.py
+++ b/astrbot/core/star/context.py
@@ -1,8 +1,8 @@
 from asyncio import Queue
-from typing import List, TypedDict, Union
+from typing import List, Union

 from astrbot.core import sp
-from astrbot.core.provider.provider import Provider
+from astrbot.core.provider.provider import Provider, TTSProvider, STTProvider
 from astrbot.core.db import BaseDatabase
 from astrbot.core.config.astrbot_config import AstrBotConfig
 from astrbot.core.provider.func_tool_manager import FuncCall
@@ -16,6 +16,7 @@ from .filter.command import CommandFilter
 from .filter.regex import RegexFilter
 from typing import Awaitable
 from astrbot.core.rag.knowledge_db_mgr import KnowledgeDBManager
+from astrbot.core.conversation_mgr import ConversationManager

 class Context:
    '''
@@ -44,6 +45,7 @@ class Context:
        db: BaseDatabase, 
        provider_manager: ProviderManager = None, 
        platform_manager: PlatformManager = None,
+        conversation_manager: ConversationManager = None,
        knowledge_db_manager: KnowledgeDBManager = None
    ):
        self._event_queue = event_queue
@@ -52,6 +54,7 @@ class Context:
        self.provider_manager = provider_manager
        self.platform_manager = platform_manager
        self.knowledge_db_manager = knowledge_db_manager
+        self.conversation_manager = conversation_manager

    def get_registered_star(self, star_name: str) -> StarMetadata:
        '''根据插件名获取插件的 Metadata'''
@@ -124,6 +127,14 @@ class Context:
        '''获取所有用于文本生成任务的 LLM Provider(Chat_Completion 类型)。'''
        return self.provider_manager.provider_insts
    
+    def get_all_tts_providers(self) -> List[TTSProvider]:
+        '''获取所有用于 TTS 任务的 Provider。'''
+        return self.provider_manager.tts_provider_insts
+    
+    def get_all_stt_providers(self) -> List[STTProvider]:
+        '''获取所有用于 STT 任务的 Provider。'''
+        return self.provider_manager.stt_provider_insts
+    
    def get_using_provider(self) -> Provider:
        '''
        获取当前使用的用于文本生成任务的 LLM Provider(Chat_Completion 类型)。
@@ -132,6 +143,18 @@ class Context:
        '''
        return self.provider_manager.curr_provider_inst
    
+    def get_using_tts_provider(self) -> TTSProvider:
+        '''
+        获取当前使用的用于 TTS 任务的 Provider。
+        '''
+        return self.provider_manager.curr_tts_provider_inst
+    
+    def get_using_stt_provider(self) -> STTProvider:
+        '''
+        获取当前使用的用于 STT 任务的 Provider。
+        '''
+        return self.provider_manager.curr_stt_provider_inst
+    
    def get_config(self) -> AstrBotConfig:
        '''获取 AstrBot 的配置。'''
        return self._config
--- a/astrbot/core/star/filter/command.py
+++ b/astrbot/core/star/filter/command.py
@@ -1,19 +1,23 @@

 import re
 import inspect
+from typing import List, Any, Type, Dict
 from . import HandlerFilter
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.config import AstrBotConfig
-from astrbot.core.utils.param_validation_mixin import ParameterValidationMixin
+from .custom_filter import CustomFilter
 from ..star_handler import StarHandlerMetadata

 # 标准指令受到 wake_prefix 的制约。
-class CommandFilter(HandlerFilter, ParameterValidationMixin):
+class CommandFilter(HandlerFilter):
    '''标准指令过滤器'''
-    def __init__(self, command_name: str, handler_md: StarHandlerMetadata = None):
+    def __init__(self, command_name: str, alias: set = None, handler_md: StarHandlerMetadata = None, parent_command_names: List[str] = [""]):
        self.command_name = command_name
+        self.alias = alias if alias else set()
+        self.parent_command_names = parent_command_names
        if handler_md:
            self.init_handler_md(handler_md)
+        self.custom_filter_list: List[CustomFilter] = []
            
    def print_types(self):
        result = ""
@@ -22,6 +26,7 @@ class CommandFilter(HandlerFilter, ParameterValidationMixin):
                result += f"{k}({v.__name__}),"
            else:
                result += f"{k}({type(v).__name__})={v},"
+        result = result.rstrip(",")
        return result
                
    def init_handler_md(self, handle_md: StarHandlerMetadata):
@@ -42,26 +47,79 @@ class CommandFilter(HandlerFilter, ParameterValidationMixin):
    def get_handler_md(self) -> StarHandlerMetadata:
        return self.handler_md

+    def add_custom_filter(self, custom_filter: CustomFilter):
+        self.custom_filter_list.append(custom_filter)
+
+    def custom_filter_ok(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
+        for custom_filter in self.custom_filter_list:
+            if not custom_filter.filter(event, cfg):
+                return False
+        return True
+    
+    def validate_and_convert_params(self, params: List[Any], param_type: Dict[str, Type]) -> Dict[str, Any]:
+        '''将参数列表 params 根据 param_type 转换为参数字典。
+        '''
+        result = {}
+        for i, (param_name, param_type_or_default_val) in enumerate(param_type.items()):
+            if i >= len(params):
+                if isinstance(param_type_or_default_val, Type) or param_type_or_default_val is inspect.Parameter.empty:
+                    # 是类型
+                    raise ValueError(f"必要参数缺失。该指令完整参数: {self.print_types()}")
+                else:
+                    # 是默认值
+                    result[param_name] = param_type_or_default_val
+            else:
+                # 尝试强制转换
+                try:
+                    if param_type_or_default_val is None:
+                        if params[i].isdigit():
+                            result[param_name] = int(params[i])
+                        else:
+                            result[param_name] = params[i]
+                    elif isinstance(param_type_or_default_val, str):
+                        # 如果 param_type_or_default_val 是字符串，直接赋值
+                        result[param_name] = params[i]
+                    elif isinstance(param_type_or_default_val, int):
+                        result[param_name] = int(params[i])
+                    elif isinstance(param_type_or_default_val, float):
+                        result[param_name] = float(params[i])
+                    else:
+                        result[param_name] = param_type_or_default_val(params[i])
+                except ValueError:
+                    raise ValueError(f"参数 {param_name} 类型错误。完整参数: {self.print_types()}")
+        return result
+
    def filter(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
-        if not event.is_wake_up():
+        if not event.is_at_or_wake_command:
+            return False
+
+        if not self.custom_filter_ok(event, cfg):
            return False
        
-        message_str = event.get_message_str().strip()
-        # 分割为列表（每个参数之间可能会有多个空格）
-        ls = re.split(r"\s+", message_str)
-        if self.command_name != ls[0]:
+        # 检查是否以指令开头
+        message_str = re.sub(r"\s+", " ", event.get_message_str().strip())
+        candidates = [self.command_name] + list(self.alias)
+        ok = False
+        for candidate in candidates:
+            for parent_command_name in self.parent_command_names:
+                if parent_command_name:
+                    _full = f"{parent_command_name} {candidate}"
+                else:
+                    _full = candidate
+                if message_str.startswith(f"{_full} ") or message_str == _full:
+                    message_str = message_str[len(_full):].strip()
+                    ok = True
+                    break
+        if not ok:
            return False
-        # if len(self.handler_params) == 0 and len(ls) > 1:
-        #     # 一定程度避免 LLM 聊天时误判为指令
-        #     return False
-        # params_str = message_str[len(self.command_name):].strip()
-        ls = ls[1:]
+
+        # 分割为列表
+        ls = message_str.split(" ")
        # 去除空字符串
        ls = [param for param in ls if param]
        params = {}
        try:
            params = self.validate_and_convert_params(ls, self.handler_params)
-            
        except ValueError as e:
            raise e
        
--- a/astrbot/core/star/filter/command_group.py
+++ b/astrbot/core/star/filter/command_group.py
@@ -6,65 +6,97 @@ from . import HandlerFilter
 from .command import CommandFilter
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.config import AstrBotConfig
+from .custom_filter import CustomFilter
 from ..star_handler import StarHandlerMetadata

 # 指令组受到 wake_prefix 的制约。
 class CommandGroupFilter(HandlerFilter):
-    def __init__(self, group_name: str):
+    def __init__(self, group_name: str, alias: set = None, parent_group: CommandGroupFilter = None):
        self.group_name = group_name
+        self.alias = alias if alias else set()
        self.sub_command_filters: List[Union[CommandFilter, CommandGroupFilter]] = []
+        self.custom_filter_list: List[CustomFilter] = []
+        self.parent_group = parent_group
    
    def add_sub_command_filter(self, sub_command_filter: Union[CommandFilter, CommandGroupFilter]):
        self.sub_command_filters.append(sub_command_filter)
-    
+
+    def add_custom_filter(self, custom_filter: CustomFilter):
+        self.custom_filter_list.append(custom_filter)
+
+    def get_complete_command_names(self) -> List[str]:
+        '''遍历父节点获取完整的指令名。
+        
+        新版本 v3.4.29 采用预编译指令，不再从指令组递归遍历子指令，因此这个方法是返回包括别名在内的整个指令名列表。'''
+        parent_cmd_names = self.parent_group.get_complete_command_names() if self.parent_group else []
+        
+        if not parent_cmd_names:
+            # 根节点
+            return [self.group_name] + list(self.alias)
+        
+        result = []
+        candidates = [self.group_name] + list(self.alias)
+        for parent_cmd_name in parent_cmd_names:
+            for candidate in candidates:
+                result.append(parent_cmd_name + " " + candidate)
+        return result
+        
+
    # 以树的形式打印出来
-    def print_cmd_tree(self, sub_command_filters: List[Union[CommandFilter, CommandGroupFilter]], prefix: str = "") -> str:
+    def print_cmd_tree(self,
+        sub_command_filters: List[Union[CommandFilter, CommandGroupFilter]],
+        prefix: str = "",
+        event: AstrMessageEvent = None,
+        cfg: AstrBotConfig = None,
+    ) -> str:
        result = ""
        for sub_filter in sub_command_filters:
            if isinstance(sub_filter, CommandFilter):
-                cmd_th = sub_filter.print_types()
-                result += f"{prefix}├── {sub_filter.command_name}"
-                if cmd_th:
-                    result += f" ({cmd_th})"
-                else:
-                    result += " (无参数指令)"
-                
-                result += "\n"
+                custom_filter_pass = True
+                if event and cfg:
+                    custom_filter_pass = sub_filter.custom_filter_ok(event, cfg)
+                if custom_filter_pass:
+                    cmd_th = sub_filter.print_types()
+                    result += f"{prefix}├── {sub_filter.command_name}"
+                    if cmd_th:
+                        result += f" ({cmd_th})"
+                    else:
+                        result += " (无参数指令)"
+                    
+                    if sub_filter.handler_md and sub_filter.handler_md.desc:
+                        result += f": {sub_filter.handler_md.desc}"
+
+                    result += "\n"
            elif isinstance(sub_filter, CommandGroupFilter):
-                result += f"{prefix}├── {sub_filter.group_name}"
-                result += "\n"
-                result += sub_filter.print_cmd_tree(sub_filter.sub_command_filters, prefix+"│   ")
+                custom_filter_pass = True
+                if event and cfg:
+                    custom_filter_pass = sub_filter.custom_filter_ok(event, cfg)
+                if custom_filter_pass:
+                    result += f"{prefix}├── {sub_filter.group_name}"
+                    result += "\n"
+                    result += sub_filter.print_cmd_tree(sub_filter.sub_command_filters, prefix+"│   ", event=event, cfg=cfg)
+
        return result
-        
-    def filter(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> Tuple[bool, StarHandlerMetadata]:
-        if not event.is_wake_up():
-            return False, None
-        
-        message_str = event.get_message_str().strip()
-        ls = re.split(r"\s+", message_str)
-        
-        if ls[0] != self.group_name:
-            return False, None
-        # 改写 message_str
-        ls = ls[1:]
-        event.message_str = " ".join(ls)
-        event.message_str = event.message_str.strip()
-        
-        if event.message_str == "":
-            # 当前还是指令组
-            tree = self.group_name + "\n" + self.print_cmd_tree(self.sub_command_filters)
+
+    def custom_filter_ok(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
+        for custom_filter in self.custom_filter_list:
+            if not custom_filter.filter(event, cfg):
+                return False
+        return True
+
+    def filter(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
+        if not event.is_at_or_wake_command:
+            return False
+
+        # 判断当前指令组的自定义过滤器
+        if not self.custom_filter_ok(event, cfg):
+            return False
+
+        complete_command_names = self.get_complete_command_names()
+        if event.message_str.strip() in complete_command_names:
+            tree = self.group_name + "\n" + self.print_cmd_tree(self.sub_command_filters, event=event, cfg=cfg)
            raise ValueError(f"指令组 {self.group_name} 未填写完全。这个指令组下有如下指令：\n"+tree)
        
-        child_command_handler_md = None
-        for sub_filter in self.sub_command_filters:
-            if isinstance(sub_filter, CommandFilter):
-                if sub_filter.filter(event, cfg):
-                    child_command_handler_md = sub_filter.get_handler_md()
-                    return True, child_command_handler_md
-            elif isinstance(sub_filter, CommandGroupFilter):
-                ok, handler = sub_filter.filter(event, cfg)
-                if ok:
-                    child_command_handler_md = handler
-                    return True, child_command_handler_md
-        tree = self.group_name + "\n" + self.print_cmd_tree(self.sub_command_filters)
-        raise ValueError(f"指令组 {self.group_name} 下没有找到对应的指令。这个指令组下有如下指令：\n"+tree)
+        # complete_command_names = [name + " " for name in complete_command_names]
+        # return event.message_str.startswith(tuple(complete_command_names))
+        return False
--- a/astrbot/core/star/filter/custom_filter.py
+++ b/astrbot/core/star/filter/custom_filter.py
@@ -0,0 +1,53 @@
+from abc import abstractmethod, ABCMeta
+
+from . import HandlerFilter
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.config import AstrBotConfig
+
+class CustomFilterMeta(ABCMeta):
+    def __and__(cls, other):
+        if not issubclass(other, CustomFilter):
+            raise TypeError("Operands must be subclasses of CustomFilter.")
+        return CustomFilterAnd(cls(), other())
+
+    def __or__(cls, other):
+        if not issubclass(other, CustomFilter):
+            raise TypeError("Operands must be subclasses of CustomFilter.")
+        return CustomFilterOr(cls(), other())
+
+class CustomFilter(HandlerFilter, metaclass=CustomFilterMeta):
+    def __init__(self,  raise_error: bool = True, **kwargs):
+        self.raise_error = raise_error
+
+    @abstractmethod
+    def filter(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
+        ''' 一个用于重写的自定义Filter '''
+        raise NotImplementedError
+
+    def __or__(self, other):
+        return CustomFilterOr(self, other)
+
+    def __and__(self, other):
+        return CustomFilterAnd(self, other)
+
+class CustomFilterOr(CustomFilter):
+    def __init__(self, filter1: CustomFilter, filter2: CustomFilter):
+        super().__init__()
+        if not isinstance(filter1, (CustomFilter, CustomFilterAnd, CustomFilterOr)):
+            raise ValueError("CustomFilter lass can only operate with other CustomFilter.")
+        self.filter1 = filter1
+        self.filter2 = filter2
+
+    def filter(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
+        return self.filter1.filter(event, cfg) or self.filter2.filter(event, cfg)
+
+class CustomFilterAnd(CustomFilter):
+    def __init__(self, filter1: CustomFilter, filter2: CustomFilter):
+        super().__init__()
+        if not isinstance(filter1, (CustomFilter, CustomFilterAnd, CustomFilterOr)):
+            raise ValueError("CustomFilter lass can only operate with other CustomFilter.")
+        self.filter1 = filter1
+        self.filter2 = filter2
+
+    def filter(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
+        return self.filter1.filter(event, cfg) and self.filter2.filter(event, cfg)
--- a/astrbot/core/star/filter/permission.py
+++ b/astrbot/core/star/filter/permission.py
@@ -19,7 +19,8 @@ class PermissionTypeFilter(HandlerFilter):
        '''
        if self.permission_type == PermissionType.ADMIN:
            if not event.is_admin():
-                event.stop_event()
-                raise ValueError(f"您 (ID: {event.get_sender_id()}) 没有权限执行此操作。")
+                # event.stop_event()
+                # raise ValueError(f"您 (ID: {event.get_sender_id()}) 没有权限操作管理员指令。")
+                return False

        return True
--- a/astrbot/core/star/filter/platform_adapter_type.py
+++ b/astrbot/core/star/filter/platform_adapter_type.py
@@ -9,13 +9,19 @@ class PlatformAdapterType(enum.Flag):
    QQOFFICIAL = enum.auto()
    VCHAT = enum.auto()
    GEWECHAT = enum.auto()
-    ALL = AIOCQHTTP | QQOFFICIAL | VCHAT | GEWECHAT
+    TELEGRAM = enum.auto()
+    WECOM = enum.auto()
+    LARK = enum.auto()
+    ALL = AIOCQHTTP | QQOFFICIAL | VCHAT | GEWECHAT | TELEGRAM | WECOM | LARK
    
 ADAPTER_NAME_2_TYPE = {
    "aiocqhttp": PlatformAdapterType.AIOCQHTTP,
    "qq_official": PlatformAdapterType.QQOFFICIAL,
    "vchat": PlatformAdapterType.VCHAT,
-    "gewechat": PlatformAdapterType.GEWECHAT
+    "gewechat": PlatformAdapterType.GEWECHAT,
+    "telegram": PlatformAdapterType.TELEGRAM,
+    "wecom": PlatformAdapterType.WECOM,
+    "lark": PlatformAdapterType.LARK
 }

 class PlatformAdapterTypeFilter(HandlerFilter):
--- a/astrbot/core/star/filter/regex.py
+++ b/astrbot/core/star/filter/regex.py
@@ -8,6 +8,7 @@ from astrbot.core.config import AstrBotConfig
 class RegexFilter(HandlerFilter):
    '''正则表达式过滤器'''
    def __init__(self, regex: str):
+        self.regex_str = regex
        self.regex = re.compile(regex)
        
    def filter(self, event: AstrMessageEvent, cfg: AstrBotConfig) -> bool:
--- a/astrbot/core/star/register/init.py
+++ b/astrbot/core/star/register/init.py
@@ -6,6 +6,7 @@ from .star_handler import (
    register_platform_adapter_type,
    register_regex,
    register_permission_type,
+    register_custom_filter,
    register_on_llm_request,
    register_on_llm_response,
    register_llm_tool,
@@ -21,6 +22,7 @@ __all__ = [
    'register_platform_adapter_type',
    'register_regex',
    'register_permission_type',
+    'register_custom_filter',
    'register_on_llm_request',
    'register_on_llm_response',
    'register_llm_tool',
--- a/astrbot/core/star/register/star_handler.py
+++ b/astrbot/core/star/register/star_handler.py
@@ -7,6 +7,7 @@ from ..filter.command_group import CommandGroupFilter
 from ..filter.event_message_type import EventMessageTypeFilter, EventMessageType
 from ..filter.platform_adapter_type import PlatformAdapterTypeFilter, PlatformAdapterType
 from ..filter.permission import PermissionTypeFilter, PermissionType
+from ..filter.custom_filter import CustomFilterAnd, CustomFilterOr
 from ..filter.regex import RegexFilter
 from typing import Awaitable
 from astrbot.core.provider.func_tool_manager import SUPPORTED_TYPES
@@ -17,7 +18,12 @@ def get_handler_full_name(awaitable: Awaitable) -> str:
    '''获取 Handler 的全名'''
    return f"{awaitable.__module__}_{awaitable.__name__}"

-def get_handler_or_create(handler: Awaitable, event_type: EventType, dont_add = False) -> StarHandlerMetadata:
+def get_handler_or_create(
+        handler: Awaitable, 
+        event_type: EventType, 
+        dont_add = False, 
+        **kwargs
+) -> StarHandlerMetadata:
    '''获取 Handler 或者创建一个新的 Handler'''
    handler_full_name = get_handler_full_name(handler)
    md = star_handlers_registry.get_handler_by_full_name(handler_full_name)
@@ -32,77 +38,142 @@ def get_handler_or_create(handler: Awaitable, event_type: EventType, dont_add =
            handler=handler,
            event_filters=[]
        )
+        
+        # 插件handler的附加额外信息
+        if handler.__doc__:
+            md.desc = handler.__doc__.strip()
+        if 'desc' in kwargs:
+            md.desc = kwargs['desc']
+            del kwargs['desc']
+        md.extras_configs = kwargs
+        
        if not dont_add:
            star_handlers_registry.append(md)
        return md

-def register_command(command_name: str = None, *args):
-    '''注册一个 Command'''
-    
+def register_command(command_name: str = None, sub_command: str = None, alias: set = None, **kwargs):
+    '''注册一个 Command.
+    '''
    new_command = None
    add_to_event_filters = False
    if isinstance(command_name, RegisteringCommandable):
        # 子指令
-        new_command = CommandFilter(args[0], None)
+        parent_command_names = command_name.parent_group.get_complete_command_names()
+        new_command = CommandFilter(sub_command, alias, None, parent_command_names=parent_command_names)
        command_name.parent_group.add_sub_command_filter(new_command)
    else:
        # 裸指令
-        new_command = CommandFilter(command_name, None)
+        new_command = CommandFilter(command_name, alias, None)
        add_to_event_filters = True
    
    def decorator(awaitable):
-        handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent)
+        if not add_to_event_filters:
+            kwargs['sub_command'] = True # 打一个标记，表示这是一个子指令，再 wakingstage 阶段这个 handler 将会直接被跳过（其父指令会接管）
+        handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent, **kwargs)
        new_command.init_handler_md(handler_md)
-        if add_to_event_filters:
-            # 裸指令
-            handler_md.event_filters.append(new_command)
-        
+        handler_md.event_filters.append(new_command)
        return awaitable

    return decorator

-def register_command_group(command_group_name: str = None, *args):
-    '''注册一个 CommandGroup'''
-    
-    new_group = None
+
+def register_custom_filter(custom_type_filter, *args, **kwargs):
+    '''注册一个自定义的 CustomFilter
+
+    Args:
+        custom_type_filter: 在裸指令时为CustomFilter对象
+                                        在指令组时为父指令的RegisteringCommandable对象，即self或者command_group的返回
+        raise_error: 如果没有权限，是否抛出错误到消息平台，并且停止事件传播。默认为 True
+    '''
    add_to_event_filters = False
+    raise_error = True
+
+    # 判断是否是指令组，指令组则添加到指令组的CommandGroupFilter对象中在waking_check的时候一起判断
+    if isinstance(custom_type_filter, RegisteringCommandable):
+        # 子指令, 此时函数为RegisteringCommandable对象的方法，首位参数为RegisteringCommandable对象的self。
+        parent_register_commandable = custom_type_filter
+        custom_filter = args[0]
+        if len(args) > 1:
+            raise_error = args[1]
+    else:
+        # 裸指令
+        add_to_event_filters = True
+        custom_filter = custom_type_filter
+        if args:
+            raise_error = args[0]
+
+    if not isinstance(custom_filter, (CustomFilterAnd, CustomFilterOr)):
+        custom_filter = custom_filter(raise_error)
+
+    def decorator(awaitable):
+        # 裸指令，子指令与指令组的区分，指令组会因为标记跳过wake。
+        if not add_to_event_filters and isinstance(awaitable, RegisteringCommandable) or \
+            (add_to_event_filters and isinstance(awaitable, RegisteringCommandable)):
+            # 指令组 与 根指令组，添加到本层的grouphandle中一起判断
+            awaitable.parent_group.add_custom_filter(custom_filter)
+        else:
+            handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent, **kwargs)
+
+            if not add_to_event_filters and not isinstance(awaitable, RegisteringCommandable):
+                # 底层子指令
+                handle_full_name = get_handler_full_name(awaitable)
+                for sub_handle in parent_register_commandable.parent_group.sub_command_filters:
+                    # 所有符合fullname一致的子指令handle添加自定义过滤器。
+                    # 不确定是否会有多个子指令有一样的fullname，比如一个方法添加多个command装饰器？
+                    sub_handle_md = sub_handle.get_handler_md()
+                    if sub_handle_md and sub_handle_md.handler_full_name == handle_full_name:
+                        sub_handle.add_custom_filter(custom_filter)
+
+            else:
+                # 裸指令
+                handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent, **kwargs)
+                handler_md.event_filters.append(custom_filter)
+
+        return awaitable
+    return decorator
+
+def register_command_group(
+    command_group_name: str = None, sub_command: str = None, alias: set = None, **kwargs
+):
+    '''注册一个 CommandGroup
+    '''
+    new_group = None
    if isinstance(command_group_name, RegisteringCommandable):
        # 子指令组
-        new_group = CommandGroupFilter(args[0])
+        new_group = CommandGroupFilter(sub_command, alias, parent_group=command_group_name.parent_group)
        command_group_name.parent_group.add_sub_command_filter(new_group)
    else:
        # 根指令组
-        new_group = CommandGroupFilter(command_group_name)
-        add_to_event_filters = True
+        new_group = CommandGroupFilter(command_group_name, alias)
    
    def decorator(obj):
-        if add_to_event_filters:
-            # 根指令组
-            handler_md = get_handler_or_create(obj, EventType.AdapterMessageEvent)
-            handler_md.event_filters.append(new_group)
-        
+        # 根指令组
+        handler_md = get_handler_or_create(obj, EventType.AdapterMessageEvent, **kwargs)
+        handler_md.event_filters.append(new_group)
+            
        return RegisteringCommandable(new_group)

    return decorator

 class RegisteringCommandable():
    '''用于指令组级联注册'''
-    group = register_command_group
-    command = register_command
-    
+    group: CommandGroupFilter = register_command_group
+    command: CommandFilter = register_command
+    custom_filter = register_custom_filter
+
    def __init__(self, parent_group: CommandGroupFilter):
        self.parent_group = parent_group

-def register_event_message_type(event_message_type: EventMessageType):
+def register_event_message_type(event_message_type: EventMessageType, **kwargs):
    '''注册一个 EventMessageType'''
    def decorator(awaitable):
-        handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent)
+        handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent, **kwargs)
        handler_md.event_filters.append(EventMessageTypeFilter(event_message_type))
        return awaitable

    return decorator

-def register_platform_adapter_type(platform_adapter_type: PlatformAdapterType):
+def register_platform_adapter_type(platform_adapter_type: PlatformAdapterType, **kwargs):
    '''注册一个 PlatformAdapterType'''
    def decorator(awaitable):
        handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent)
@@ -111,10 +182,10 @@ def register_platform_adapter_type(platform_adapter_type: PlatformAdapterType):

    return decorator

-def register_regex(regex: str):
+def register_regex(regex: str, **kwargs):
    '''注册一个 Regex'''
    def decorator(awaitable):
-        handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent)
+        handler_md = get_handler_or_create(awaitable, EventType.AdapterMessageEvent, **kwargs)
        handler_md.event_filters.append(RegexFilter(regex))
        return awaitable

@@ -134,7 +205,7 @@ def register_permission_type(permission_type: PermissionType, raise_error: bool

    return decorator

-def register_on_llm_request():
+def register_on_llm_request(**kwargs):
    '''当有 LLM 请求时的事件
    
    Examples:
@@ -149,12 +220,12 @@ def register_on_llm_request():
    请务必接收两个参数：event, request
    '''
    def decorator(awaitable):
-        _ = get_handler_or_create(awaitable, EventType.OnLLMRequestEvent)
+        _ = get_handler_or_create(awaitable, EventType.OnLLMRequestEvent, **kwargs)
        return awaitable
    
    return decorator

-def register_on_llm_response():
+def register_on_llm_response(**kwargs):
    '''当有 LLM 请求后的事件
    
    Examples:
@@ -169,7 +240,7 @@ def register_on_llm_response():
    请务必接收两个参数：event, request
    '''
    def decorator(awaitable):
-        _ = get_handler_or_create(awaitable, EventType.OnLLMResponseEvent)
+        _ = get_handler_or_create(awaitable, EventType.OnLLMResponseEvent, **kwargs)
        return awaitable
    
    return decorator
@@ -182,7 +253,7 @@ def register_llm_tool(name: str = None):
    
    ```
    @llm_tool(name="get_weather") # 如果 name 不填，将使用函数名
-    async def get_weather(event: AstrMessageEvent, location: str) -> MessageEventResult:
+    async def get_weather(event: AstrMessageEvent, location: str):
        \'\'\'获取天气信息。
        
        Args:
@@ -192,7 +263,22 @@ def register_llm_tool(name: str = None):
    ```
    
    可接受的参数类型有：string, number, object, array, boolean。
+    
+    返回值：
+        - 返回 str：结果会被加入下一次 LLM 请求的 prompt 中，用于让 LLM 总结工具返回的结果
+        - 返回 None：结果不会被加入下一次 LLM 请求的 prompt 中。
+        
+    可以使用 yield 发送消息、终止事件。
+    
+    发送消息：请参考文档。
+    
+    终止事件：
+    ```
+    event.stop_event()
+    yield
+    ```
    '''
+    
    name_ = name
    
    def decorator(awaitable: Awaitable):
@@ -215,18 +301,18 @@ def register_llm_tool(name: str = None):
    
    return decorator

-def register_on_decorating_result():
+def register_on_decorating_result(**kwargs):
    '''在发送消息前的事件'''
    def decorator(awaitable):
-        _ = get_handler_or_create(awaitable, EventType.OnDecoratingResultEvent)
+        _ = get_handler_or_create(awaitable, EventType.OnDecoratingResultEvent, **kwargs)
        return awaitable
    
    return decorator

-def register_after_message_sent():
+def register_after_message_sent(**kwargs):
    '''在消息发送后的事件'''
    def decorator(awaitable):
-        _ = get_handler_or_create(awaitable, EventType.OnAfterMessageSentEvent)
+        _ = get_handler_or_create(awaitable, EventType.OnAfterMessageSentEvent, **kwargs)
        return awaitable
    
    return decorator
--- a/astrbot/core/star/star.py
+++ b/astrbot/core/star/star.py
@@ -2,7 +2,7 @@ from __future__ import annotations

 from types import ModuleType
 from typing import List, Dict
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from astrbot.core.config import AstrBotConfig

 star_registry: List[StarMetadata] = []
@@ -39,6 +39,9 @@ class StarMetadata:
    
    config: AstrBotConfig = None
    '''插件配置'''
+    
+    star_handler_full_names: List[str] = field(default_factory=list)
+    '''注册的 Handler 的全名列表'''

    def __str__(self) -> str:
        return f"StarMetadata({self.name}, {self.desc}, {self.version}, {self.repo})"
--- a/astrbot/core/star/star_handler.py
+++ b/astrbot/core/star/star_handler.py
@@ -1,34 +1,41 @@
 from __future__ import annotations
 import enum
-from dataclasses import dataclass
+import heapq
+from dataclasses import dataclass, field
 from typing import Awaitable, List, Dict, TypeVar, Generic
 from .filter import HandlerFilter
 from .star import star_map

 T = TypeVar('T', bound='StarHandlerMetadata')
-class StarHandlerRegistry(Generic[T], List[T]):
+class StarHandlerRegistry(Generic[T]):
    '''用于存储所有的 Star Handler'''
    
    star_handlers_map: Dict[str, StarHandlerMetadata] = {}
    '''用于快速查找。key 是 handler_full_name'''
+    _handlers = []
    
    def append(self, handler: StarHandlerMetadata):
        '''添加一个 Handler'''
-        super().append(handler)
+        if 'priority' not in handler.extras_configs:
+            handler.extras_configs['priority'] = 0
+        
+        heapq.heappush(self._handlers, (-handler.extras_configs['priority'], handler))
        self.star_handlers_map[handler.handler_full_name] = handler
        
-    def get_handlers_by_event_type(self, event_type: EventType, only_activated = True) -> List[StarHandlerMetadata]:
+    def _print_handlers(self):
+        '''打印所有的 Handler'''
+        for _, handler in self._handlers:
+            print(handler.handler_full_name)
+        
+    def get_handlers_by_event_type(self, event_type: EventType, only_activated=True) -> List[StarHandlerMetadata]:
        '''通过事件类型获取 Handler'''
-        if only_activated:
-            return [
-                handler 
-                for handler in self 
-                if handler.event_type == event_type and 
-                star_map[handler.handler_module_path] and 
-                star_map[handler.handler_module_path].activated
-            ]
-        else:
-            return [handler for handler in self if handler.event_type == event_type]
+        handlers = [
+            handler 
+            for _, handler in self._handlers 
+            if handler.event_type == event_type and 
+            (not only_activated or (star_map[handler.handler_module_path] and star_map[handler.handler_module_path].activated))
+        ]
+        return handlers
    
    def get_handler_by_full_name(self, full_name: str) -> StarHandlerMetadata:
        '''通过 Handler 的全名获取 Handler'''
@@ -36,7 +43,32 @@ class StarHandlerRegistry(Generic[T], List[T]):
    
    def get_handlers_by_module_name(self, module_name: str) -> List[StarHandlerMetadata]:
        '''通过模块名获取 Handler'''
-        return [handler for handler in self if handler.handler_module_path == module_name]
+        return [handler for _, handler in self._handlers if handler.handler_module_path == module_name]
+    
+    def clear(self):
+        '''清空所有的 Handler'''
+        self.star_handlers_map.clear()
+        self._handlers.clear()
+        
+    def remove(self, handler: StarHandlerMetadata):
+        '''删除一个 Handler'''
+        # self._handlers.remove(handler)
+        for i, h in enumerate(self._handlers):
+            if h[1] == handler:
+                self._handlers.pop(i)
+                break
+        try:
+            del self.star_handlers_map[handler.handler_full_name]
+        except KeyError:
+            pass
+    
+    def __iter__(self):
+        '''使 StarHandlerRegistry 支持迭代'''
+        return (handler for _, handler in self._handlers)
+    
+    def __len__(self):
+        '''返回 Handler 的数量'''
+        return len(self._handlers)
    
 star_handlers_registry = StarHandlerRegistry()

@@ -76,3 +108,10 @@ class StarHandlerMetadata():
    
    desc: str = ""
    '''Handler 的描述信息'''
+
+    extras_configs: dict = field(default_factory=dict)
+    '''插件注册的一些其他的信息, 如 priority 等'''
+
+    def __lt__(self, other: StarHandlerMetadata):
+        '''定义小于运算符以支持优先队列'''
+        return self.extras_configs.get('priority', 0) < other.extras_configs.get('priority', 0)
--- a/astrbot/core/star/star_manager.py
+++ b/astrbot/core/star/star_manager.py
@@ -9,7 +9,6 @@ import logging
 from types import ModuleType
 from typing import List
 from astrbot.core.config.astrbot_config import AstrBotConfig
-from astrbot.core.config.default import DEFAULT_VALUE_MAP
 from astrbot.core import logger, sp, pip_installer
 from .context import Context
 from . import StarMetadata
@@ -19,6 +18,8 @@ from .star import star_registry, star_map
 from .star_handler import star_handlers_registry
 from astrbot.core.provider.register import llm_tools

+from .filter.permission import PermissionTypeFilter, PermissionType
+
 class PluginManager:
    def __init__(
        self, 
@@ -39,6 +40,8 @@ class PluginManager:
        '''保留插件的路径。在 packages 目录下'''
        self.conf_schema_fname = "_conf_schema.json"
        '''插件配置 Schema 文件名'''
+        
+        self.failed_plugin_info = ""

    def _get_classes(self, arg: ModuleType):
        '''获取指定模块（可以理解为一个 python 文件）下所有的类'''
@@ -125,7 +128,7 @@ class PluginManager:
        
        if isinstance(metadata, dict):
            if 'name' not in metadata or 'desc' not in metadata or 'version' not in metadata or 'author' not in metadata:
-                raise Exception("插件元数据信息不完整。")
+                raise Exception("插件元数据信息不完整。name, desc, version, author 是必须的字段。")
            metadata = StarMetadata(
                name=metadata['name'],
                author=metadata['author'],
@@ -135,30 +138,52 @@ class PluginManager:
            )
            
        return metadata
-    
-    async def reload(self):
-        '''扫描并加载所有的插件'''
-        for smd in star_registry:
-            logger.debug(f"尝试终止插件 {smd.name} ...")
-            if hasattr(smd.star_cls, "__del__"):
-                smd.star_cls.__del__()
-            
-        star_handlers_registry.clear()
-        star_handlers_registry.star_handlers_map.clear()
-        star_map.clear()
-        star_registry.clear()
-        for key in list(sys.modules.keys()):
-            if key.startswith("data.plugins") or key.startswith("packages"):
-                del sys.modules[key]
+        
+    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:
+                if smd.name == specified_plugin_name:
+                    specified_module_path = smd.module_path
+                    break
+        
+        # 终止插件
+        if not specified_module_path:
+            for smd in star_registry:
+                logger.debug(f"尝试终止插件 {smd.name} ...")
+                if hasattr(smd.star_cls, "__del__"):
+                    smd.star_cls.__del__()
+                
+            star_handlers_registry.clear()
+            star_map.clear()
+            star_registry.clear()
+            for key in list(sys.modules.keys()):
+                if key.startswith("data.plugins") or key.startswith("packages"):
+                    del sys.modules[key]
+        else:
+            # 只重载指定插件
+            smd = star_map.get(specified_module_path)
+            if smd:
+                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")
+
        
        plugin_modules = self._get_plugin_modules()
        if plugin_modules is None:
            return False, "未找到任何插件模块"
+        
        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:
@@ -167,11 +192,15 @@ class PluginManager:
                root_dir_name = plugin_module['pname'] # 插件的目录名
                reserved = plugin_module.get('reserved', False) # 是否是保留插件。目前在 packages/ 目录下的都是保留插件。保留插件不可以卸载。
                
+                path = "data.plugins." if not reserved else "packages."
+                path += root_dir_name + "." + module_str
+                
+                if specified_module_path and path != specified_module_path:
+                    continue
+                
                logger.info(f"正在载入插件 {root_dir_name} ...")
                
                # 尝试导入模块
-                path = "data.plugins." if not reserved else "packages."
-                path += root_dir_name + "." + module_str
                try:
                    module = __import__(path, fromlist=[module_str])
                except (ModuleNotFoundError, ImportError):
@@ -200,6 +229,18 @@ class PluginManager:
                    # 通过装饰器的方式注册插件
                    metadata = star_map[path]
                    
+                    try:
+                        # yaml 文件的元数据优先
+                        metadata_yaml = self._load_plugin_metadata(plugin_path=plugin_dir_path)
+                        if metadata_yaml:
+                            metadata.name = metadata_yaml.name
+                            metadata.author = metadata_yaml.author
+                            metadata.desc = metadata_yaml.desc
+                            metadata.version = metadata_yaml.version
+                            metadata.repo = metadata_yaml.repo
+                    except Exception:
+                        pass
+                    
                    if plugin_config:
                        metadata.config = plugin_config
                        try:
@@ -213,12 +254,11 @@ class PluginManager:
                    metadata.root_dir_name = root_dir_name
                    metadata.reserved = reserved
                    
+                    # 绑定 handler
                    related_handlers = star_handlers_registry.get_handlers_by_module_name(metadata.module_path)
                    for handler in related_handlers:
-                        logger.debug(f"bind handler {handler.handler_name} to {metadata.name}")
-                        # handler.handler.__self__ = star_metadata.star_cls # 绑定 handler 的 self
                        handler.handler = functools.partial(handler.handler, metadata.star_cls)
-                    # llm_tool
+                    # 绑定 llm_tool handler
                    for func_tool in llm_tools.func_list:
                        if func_tool.handler.__module__ == metadata.module_path:
                            func_tool.handler_module_path = metadata.module_path
@@ -240,8 +280,7 @@ class PluginManager:
                        obj = getattr(module, classes[0])(context=self.context) # 实例化插件类

                    metadata = None
-                    plugin_path = os.path.join(self.plugin_store_path, root_dir_name) if not reserved else os.path.join(self.reserved_plugin_path, root_dir_name)
-                    metadata = self._load_plugin_metadata(plugin_path=plugin_path, plugin_obj=obj)
+                    metadata = self._load_plugin_metadata(plugin_path=plugin_dir_path, plugin_obj=obj)
                    metadata.star_cls = obj
                    metadata.config = plugin_config
                    metadata.module = module
@@ -251,30 +290,58 @@ class PluginManager:
                    metadata.module_path = path
                    star_map[path] = metadata
                    star_registry.append(metadata)
-                    logger.debug(f"插件 {root_dir_name} 载入成功。")
                
+                # 禁用/启用插件
                if metadata.module_path in inactivated_plugins:
                    metadata.activated = False
                    
+                full_names = []
+                for handler in star_handlers_registry.get_handlers_by_module_name(metadata.module_path):
+                    full_names.append(handler.handler_full_name)
+                    
+                    # 检查并且植入自定义的权限过滤器（alter_cmd）
+                    if metadata.name in alter_cmd and handler.handler_name in alter_cmd[metadata.name]:
+                        cmd_type = alter_cmd[metadata.name][handler.handler_name].get("permission", "member")
+                        found_permission_filter = False
+                        for filter_ in handler.event_filters:
+                            if isinstance(filter_, PermissionTypeFilter):
+                                if cmd_type == "admin":
+                                    filter_.permission_type = PermissionType.ADMIN
+                                else:
+                                    filter_.permission_type = PermissionType.MEMBER
+                                found_permission_filter = True
+                                break
+                        if not found_permission_filter:
+                            handler.event_filters.append(PermissionTypeFilter(PermissionType.ADMIN if cmd_type == "admin" else PermissionType.MEMBER))
+
+                        logger.debug(f"插入权限过滤器 {cmd_type} 到 {metadata.name} 的 {handler.handler_name} 方法。")
+                    
+                metadata.star_handler_full_names = full_names
+
                # 执行 initialize() 方法
                if hasattr(metadata.star_cls, "initialize"):
                    await metadata.star_cls.initialize()
                    
            except BaseException as e:
-                traceback.print_exc()
-                fail_rec += f"加载 {path} 插件时出现问题，原因 {str(e)}\n"
+                logger.error(f"----- 插件 {root_dir_name} 载入失败 -----")
+                errors = traceback.format_exc()
+                for line in errors.split('\n'):
+                    logger.error(f"| {line}")
+                logger.error("----------------------------------")
+                fail_rec += f"加载 {root_dir_name} 插件时出现问题，原因 {str(e)}。\n"

        # 清除 pip.main 导致的多余的 logging handlers
        for handler in logging.root.handlers[:]:
            logging.root.removeHandler(handler)
-        
+
        if not fail_rec:
            return True, None
        else:
+            self.failed_plugin_info = fail_rec
            return False, fail_rec
        
-    async def install_plugin(self, repo_url: str):
-        plugin_path = await self.updator.install(repo_url)
+    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
@@ -309,14 +376,14 @@ class PluginManager:
            logger.debug(f"unbind handler {v.handler_name} from {plugin_name} (map)")
            del star_handlers_registry.star_handlers_map[k]

-    async def update_plugin(self, plugin_name: str):
+    async def update_plugin(self, plugin_name: str, proxy = ""):
        plugin = self.context.get_registered_star(plugin_name)
        if not plugin:
            raise Exception("插件不存在。")
        if plugin.reserved:
            raise Exception("该插件是 AstrBot 保留插件，无法更新。")
        
-        await self.updator.update(plugin)
+        await self.updator.update(plugin, proxy=proxy)
        await self.reload()
    
    async def turn_off_plugin(self, plugin_name: str):
@@ -361,6 +428,7 @@ class PluginManager:
        
    async def install_plugin_from_file(self, zip_file_path: str):
        dir_name = os.path.basename(zip_file_path).replace(".zip", "")
+        dir_name = dir_name.removesuffix("-master").removesuffix("-main").lower()
        desti_dir = os.path.join(self.plugin_store_path, dir_name)
        self.updator.unzip_file(zip_file_path, desti_dir)

--- a/astrbot/core/star/updator.py
+++ b/astrbot/core/star/updator.py
@@ -15,20 +15,24 @@ class PluginUpdator(RepoZipUpdator):
    def get_plugin_store_path(self) -> str:
        return self.plugin_store_path
    
-    async def install(self, repo_url: str) -> str:
+    async def install(self, repo_url: str, proxy="") -> str:
        repo_name = self.format_repo_name(repo_url)
        plugin_path = os.path.join(self.plugin_store_path, repo_name)
-        await self.download_from_repo_url(plugin_path, repo_url)
+        await self.download_from_repo_url(plugin_path, repo_url, proxy)
        self.unzip_file(plugin_path + ".zip", plugin_path)
        
        return plugin_path

-    async def update(self, plugin: StarMetadata) -> str:
+    async def update(self, plugin: StarMetadata, proxy="") -> str:
        repo_url = plugin.repo
        
        if not repo_url:
            raise Exception(f"插件 {plugin.name} 没有指定仓库地址。")
        
+        if proxy:
+            proxy = proxy.removesuffix("/")
+            repo_url = f"{proxy}/{repo_url}"
+        
        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}")
--- a/astrbot/core/updator.py
+++ b/astrbot/core/updator.py
@@ -32,9 +32,6 @@ class AstrBotUpdator(RepoZipUpdator):
            pass
    
    def _reboot(self, delay: int = 3):
-        if os.environ.get('TEST_MODE', 'off') == 'on':
-            logger.info("测试模式下不会重启。")
-            return
        py = sys.executable
        time.sleep(delay)
        self.terminate_child_processes()
@@ -47,8 +44,11 @@ class AstrBotUpdator(RepoZipUpdator):
        
    async def check_update(self, url: str, current_version: str) -> ReleaseInfo:
        return await super().check_update(self.ASTRBOT_RELEASE_API, VERSION)
+    
+    async def get_releases(self) -> list:
+        return await self.fetch_release_info(self.ASTRBOT_RELEASE_API)
        
-    async def update(self, reboot = False, latest = True, version = None):
+    async def update(self, reboot = False, latest = True, version = None, proxy = ""):
        update_data = await self.fetch_release_info(self.ASTRBOT_RELEASE_API, latest)
        file_url = None
        
@@ -70,6 +70,10 @@ class AstrBotUpdator(RepoZipUpdator):
                raise Exception("commit hash 长度不正确，应为 40")
            logger.info(f"正在尝试更新到指定 commit: {version}")
            file_url = "https://github.com/Soulter/AstrBot/archive/" + version + ".zip"
+
+        if proxy:
+            proxy = proxy.removesuffix("/")
+            file_url = f"{proxy}/{file_url}"
            
        try:
            await download_file(file_url, "temp.zip")
--- a/astrbot/core/utils/dify_api_client.py
+++ b/astrbot/core/utils/dify_api_client.py
@@ -27,22 +27,38 @@ class DifyAPIClient:
        payload = locals()
        payload.pop("self")
        payload.pop("timeout")
+        logger.info(f"chat_messages payload: {payload}")
        async with self.session.post(
            url, json=payload, headers=self.headers, timeout=timeout
        ) as resp:
+            if resp.status != 200:
+                text = await resp.text()
+                raise Exception(f"chat_messages 请求失败：{resp.status}. {text}")
+            
+            buffer = ""
            while True:
-                data = await resp.content.read(8192) # 防止数据过大导致高水位报错
-                if not data:
+                # 保持原有的8192字节限制，防止数据过大导致高水位报错
+                chunk = await resp.content.read(8192)
+                if not chunk:
                    break
-                if not data.strip():
-                    continue
-                elif data.startswith(b"data:"):
-                    try:
-                        json_ = json.loads(data[5:])
-                        yield json_
-                    except BaseException:
-                        pass
                    
+                buffer += chunk.decode('utf-8')
+                blocks = buffer.split('\n\n')
+                
+                # 处理完整的数据块
+                for block in blocks[:-1]:
+                    if block.strip() and block.startswith('data:'):
+                        try:
+                            json_str = block[5:]  # 移除 "data:" 前缀
+                            json_obj = json.loads(json_str)
+                            yield json_obj
+                        except json.JSONDecodeError as e:
+                            logger.error(f"JSON解析错误: {str(e)}")
+                            logger.error(f"原始数据块: {json_str}")
+                
+                # 保留最后一个可能不完整的块
+                buffer = blocks[-1] if blocks else ""
+
    async def workflow_run(
        self,
        inputs: Dict,
@@ -55,22 +71,38 @@ class DifyAPIClient:
        payload = locals()
        payload.pop("self")
        payload.pop("timeout")
+        logger.info(f"workflow_run payload: {payload}")
        async with self.session.post(
            url, json=payload, headers=self.headers, timeout=timeout
        ) as resp:
+            if resp.status != 200:
+                text = await resp.text()
+                raise Exception(f"workflow_run 请求失败：{resp.status}. {text}")
+            
+            buffer = ""
            while True:
-                data = await resp.content.read(8192) # 防止数据过大导致高水位报错
-                if not data:
+                # 保持原有的8192字节限制，防止数据过大导致高水位报错
+                chunk = await resp.content.read(8192)
+                if not chunk:
                    break
-                if not data.strip():
-                    continue
-                elif data.startswith(b"data:"):
-                    try:
-                        json_ = json.loads(data[5:])
-                        yield json_
-                    except BaseException:
-                        pass
                    
+                buffer += chunk.decode('utf-8')
+                blocks = buffer.split('\n\n')
+                
+                # 处理完整的数据块
+                for block in blocks[:-1]:
+                    if block.strip() and block.startswith('data:'):
+                        try:
+                            json_str = block[5:]  # 移除 "data:" 前缀
+                            json_obj = json.loads(json_str)
+                            yield json_obj
+                        except json.JSONDecodeError as e:
+                            logger.error(f"JSON解析错误: {str(e)}")
+                            logger.error(f"原始数据块: {json_str}")
+                
+                # 保留最后一个可能不完整的块
+                buffer = blocks[-1] if blocks else ""
+
    async def file_upload(
        self,
        file_path: str,
@@ -87,4 +119,55 @@ class DifyAPIClient:
            return await resp.json() # {"id": "xxx", ...}
                
    async def close(self):
-        await self.session.close()
+        await self.session.close()
+        
+    async def get_chat_convs(
+        self,
+        user: str,
+        limit: int = 20
+    ):
+        # conversations. GET
+        url = f"{self.api_base}/conversations"
+        payload = {
+            "user": user,
+            "limit": limit,
+        }
+        async with self.session.get(
+            url, params=payload, headers=self.headers
+        ) as resp:
+            return await resp.json()
+        
+    async def delete_chat_conv(
+        self,
+        user: str,
+        conversation_id: str
+    ):
+        # conversation. DELETE
+        url = f"{self.api_base}/conversations/{conversation_id}"
+        payload = {
+            "user": user,
+        }
+        async with self.session.delete(
+            url, json=payload, headers=self.headers
+        ) as resp:
+            return await resp.json()
+        
+    async def rename(
+        self,
+        conversation_id: str,
+        name: str,
+        user: str,
+        auto_generate: bool = False
+    ):
+        # /conversations/:conversation_id/name
+        url = f"{self.api_base}/conversations/{conversation_id}/name"
+        payload = {
+            "user": user,
+            "name": name,
+            "auto_generate": auto_generate,
+        }
+        async with self.session.post(
+            url, json=payload, headers=self.headers
+        ) as resp:
+            return await resp.json()
+        
--- a/astrbot/core/utils/io.py
+++ b/astrbot/core/utils/io.py
@@ -7,6 +7,7 @@ import aiohttp
 import base64
 import zipfile
 import uuid
+import psutil
 from typing import Union

 from PIL import Image
@@ -160,17 +161,17 @@ def file_to_base64(file_path: str) -> str:
        base64_str = base64.b64encode(data_bytes).decode()
    return "base64://" + base64_str

+
 def get_local_ip_addresses():
-    ip = ''
-    try:
-        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
-        s.connect(('8.8.8.8', 80))
-        ip = s.getsockname()[0]
-    except BaseException:
-        pass
-    finally:
-        s.close()
-    return ip
+    net_interfaces = psutil.net_if_addrs()
+    network_ips = []
+    
+    for interface, addrs in net_interfaces.items():
+        for addr in addrs:
+            if addr.family == socket.AF_INET:  # 使用 socket.AF_INET 代替 psutil.AF_INET
+                network_ips.append(addr.address)
+    
+    return network_ips

 async def get_dashboard_version():
    if os.path.exists("data/dist"):
--- a/astrbot/core/utils/param_validation_mixin.py
+++ b/astrbot/core/utils/param_validation_mixin.py
@@ -1,32 +0,0 @@
-import inspect
-from typing import List, Dict, Any, Type
-
-class ParameterValidationMixin:
-    def validate_and_convert_params(self, params: List[Any], param_type: Dict[str, Type]) -> Dict[str, Any]:
-        '''将参数列表 params 根据 param_type 转换为参数字典。
-        '''
-        result = {}
-        for i, (param_name, param_type_or_default_val) in enumerate(param_type.items()):
-            if i >= len(params):
-                if isinstance(param_type_or_default_val, Type) or param_type_or_default_val is inspect.Parameter.empty:
-                    # 是类型
-                    raise ValueError(f"参数 {param_name} 缺失")
-                else:
-                    # 是默认值
-                    result[param_name] = param_type_or_default_val
-            else:
-                # 尝试强制转换
-                try:
-                    if param_type_or_default_val is None:
-                        if params[i].isdigit():
-                            result[param_name] = int(params[i])
-                        else:
-                            result[param_name] = params[i]
-                    elif isinstance(param_type_or_default_val, str):
-                        # 如果 param_type_or_default_val 是字符串，直接赋值
-                        result[param_name] = params[i]
-                    else:
-                        result[param_name] = param_type_or_default_val(params[i])
-                except ValueError:
-                    raise ValueError(f"参数 {param_name} 类型错误")
-        return result
--- a/astrbot/core/utils/pip_installer.py
+++ b/astrbot/core/utils/pip_installer.py
@@ -1,6 +1,7 @@
 import logging
 from pip import main as pip_main

+logger = logging.getLogger("astrbot")
 class PipInstaller():
    def __init__(self, pip_install_arg: str):
        self.pip_install_arg = pip_install_arg
@@ -20,7 +21,7 @@ class PipInstaller():
        if self.pip_install_arg:
            args.extend(self.pip_install_arg.split())
            
-        print(f"Pip 包管理器: {' '.join(args)}")
+        logger.info(f"Pip 包管理器: pip {' '.join(args)}")
        
        result_code = pip_main(args)
        
--- a/astrbot/core/utils/t2i/network_strategy.py
+++ b/astrbot/core/utils/t2i/network_strategy.py
@@ -14,11 +14,22 @@ class NetworkRenderStrategy(RenderStrategy):
            base_url = ASTRBOT_T2I_DEFAULT_ENDPOINT
        self.BASE_RENDER_URL = base_url
        self.TEMPLATE_PATH = os.path.join(os.path.dirname(__file__), "template")
+        
+        if self.BASE_RENDER_URL.endswith("/"):
+            self.BASE_RENDER_URL = self.BASE_RENDER_URL[:-1]
+        if not self.BASE_RENDER_URL.endswith("text2img"):
+            self.BASE_RENDER_URL += "/text2img"

    def set_endpoint(self, base_url: str):
        if not base_url:
            base_url = ASTRBOT_T2I_DEFAULT_ENDPOINT
        self.BASE_RENDER_URL = base_url
+        
+        if self.BASE_RENDER_URL.endswith("/"):
+            self.BASE_RENDER_URL = self.BASE_RENDER_URL[:-1]
+        if not self.BASE_RENDER_URL.endswith("text2img"):
+            self.BASE_RENDER_URL += "/text2img"
+

    async def render_custom_template(self, tmpl_str: str, tmpl_data: dict, return_url: bool=True) -> str:
        '''使用自定义文转图模板'''
--- a/astrbot/core/utils/t2i/renderer.py
+++ b/astrbot/core/utils/t2i/renderer.py
@@ -22,7 +22,7 @@ class HtmlRenderer:

        @return: 图片 URL 或者文件路径，取决于 return_url 参数。

-        @example: 参见 https://astrbot.soulter.top 插件开发部分。
+        @example: 参见 https://astrbot.app 插件开发部分。
        '''
        local = locals()
        local.pop('self')
--- a/astrbot/core/utils/tencent_record_helper.py
+++ b/astrbot/core/utils/tencent_record_helper.py
@@ -22,21 +22,27 @@ async def tencent_silk_to_wav(silk_path: str, output_path: str) -> str:

 async def wav_to_tencent_silk(wav_path: str, output_path: str) -> int:
    '''返回 duration'''
-    import pysilk
-
-    with wave.open(wav_path, 'rb') as wav:
-        wav_data = wav.readframes(wav.getnframes())
-        wav_data = BytesIO(wav_data)
-        output_io = BytesIO()
-        pysilk.encode(wav_data, output_io, 24000, 24000)
-        output_io.seek(0)
+    try:
+        import pilk
+    except (ImportError, ModuleNotFoundError) as _:
+        raise Exception("pilk 模块未安装，请前往管理面板->控制台->安装pip库 安装 pilk 这个库")
+    # with wave.open(wav_path, 'rb') as wav:
+    #     wav_data = wav.readframes(wav.getnframes())
+    #     wav_data = BytesIO(wav_data)
+    #     output_io = BytesIO()
+    #     pysilk.encode(wav_data, output_io, 24000, 24000)
+    #     output_io.seek(0)
        
-        # 在首字节添加 \x02,去除结尾的\xff\xff
-        silk_data = output_io.read()
-        silk_data_with_prefix = b'\x02' + silk_data[:-2]
+    #     # 在首字节添加 \x02,去除结尾的\xff\xff
+    #     silk_data = output_io.read()
+    #     silk_data_with_prefix = b'\x02' + silk_data[:-2]
        
-        # return BytesIO(silk_data_with_prefix)
-        with open(output_path, "wb") as f:
-            f.write(silk_data_with_prefix)
+    #     # return BytesIO(silk_data_with_prefix)
+    #     with open(output_path, "wb") as f:
+    #         f.write(silk_data_with_prefix)
            
-        return 0
+    #     return 0
+    with wave.open(wav_path, 'rb') as wav:
+        rate = wav.getframerate()
+        duration = pilk.encode(wav_path, output_path, pcm_rate=rate, tencent=True)
+        return duration
--- a/astrbot/core/zip_updator.py
+++ b/astrbot/core/zip_updator.py
@@ -34,10 +34,19 @@ class RepoZipUpdator():
                    result = await response.json()
            if not result: 
                return []
-            if latest:
-                ret = self.github_api_release_parser([result[0]])
-            else:
-                ret = self.github_api_release_parser(result)
+            # if latest:
+            #     ret = self.github_api_release_parser([result[0]])
+            # else:
+            #     ret = self.github_api_release_parser(result)
+            ret = []
+            for release in result:
+                ret.append({
+                    "version": release['name'],
+                    "published_at": release['published_at'],
+                    "body": release['body'],
+                    "tag_name": release['tag_name'],
+                    "zipball_url": release['zipball_url']
+                })
        except BaseException:
            raise Exception("解析版本信息失败")
        return ret
@@ -49,17 +58,10 @@ class RepoZipUpdator():
        '''
        ret = []
        for release in releases:
-            version = release['name']
-            commit_hash = ''
-            # 规范是: v3.0.7.xxxxxx，其中xxxxxx为 commit hash
-            _t = version.split(".")
-            if len(_t) == 4: 
-                commit_hash = _t[3]
            ret.append({
                "version": release['name'],
                "published_at": release['published_at'],
                "body": release['body'],
-                "commit_hash": commit_hash,
                "tag_name": release['tag_name'],
                "zipball_url": release['zipball_url']
            })
@@ -100,7 +102,7 @@ class RepoZipUpdator():
            body=update_data[0]['body']
        )
        
-    async def download_from_repo_url(self, target_path: str, repo_url: str):
+    async def download_from_repo_url(self, target_path: str, repo_url: str, proxy=""):
        repo_namespace = repo_url.split("/")[-2:]
        author = repo_namespace[0]
        repo = repo_namespace[1]
@@ -110,19 +112,14 @@ class RepoZipUpdator():
        releases = await self.fetch_release_info(url=release_url)
        if not releases:
            # download from the default branch directly. 
-            logger.info(f"未在仓库 {author}/{repo} 中找到任何发布版本，正在从默认分支下载。")
+            logger.info(f"正在从默认分支下载 {author}/{repo} ")
            release_url = f"https://github.com/{author}/{repo}/archive/refs/heads/master.zip"
        else:
            release_url = releases[0]['zipball_url']
-            
-        # 镜像站点
-        match self.repo_mirror:
-            case 'https://github-mirror.us.kg/':
-                release_url = self.repo_mirror + release_url
-            case "https://ghp.ci/":
-                release_url = self.repo_mirror + release_url
-            case _:
-                pass
+        
+        if proxy:
+            release_url = f"{proxy}/{release_url}"
+            logger.info(f"使用代理下载: {release_url}")

        await download_file(release_url, target_path + ".zip")
        
--- a/astrbot/dashboard/routes/chat.py
+++ b/astrbot/dashboard/routes/chat.py
@@ -121,7 +121,7 @@ class ChatRoute(Route):
        }))
        
        # 持久化
-        conversation = self.db.get_webchat_conversation_by_user_id(username, conversation_id)
+        conversation = self.db.get_conversation_by_user_id(username, conversation_id)
        try:
            history = json.loads(conversation.history)
        except BaseException as e:
@@ -136,7 +136,7 @@ class ChatRoute(Route):
        if audio_url:
            new_his['audio_url'] = audio_url
        history.append(new_his)
-        self.db.update_webchat_conversation(username, conversation_id, history=json.dumps(history))
+        self.db.update_conversation(username, conversation_id, history=json.dumps(history))
        
        return Response().ok().__dict__
        
@@ -168,7 +168,7 @@ class ChatRoute(Route):
                        continue
                    yield result_text + '\n'
                    
-                    conversation = self.db.get_webchat_conversation_by_user_id(username, cid)
+                    conversation = self.db.get_conversation_by_user_id(username, cid)
                    try:
                        history = json.loads(conversation.history)
                    except BaseException as e:
@@ -178,11 +178,11 @@ class ChatRoute(Route):
                        'type': 'bot',
                        'message': result_text
                    })
-                    self.db.update_webchat_conversation(username, cid, history=json.dumps(history))
+                    self.db.update_conversation(username, cid, history=json.dumps(history))
                    
                    await asyncio.sleep(0.5)
-            except BaseException as e:
-                logger.debug(f"用户 {username} 断开聊天长连接: {str(e)}。")
+            except BaseException as _:
+                logger.debug(f"用户 {username} 断开聊天长连接。")
                self.curr_chat_sse.pop(username)
                return

@@ -204,20 +204,20 @@ class ChatRoute(Route):
        if not conversation_id:
            return Response().error("Missing key: conversation_id").__dict__
        
-        self.db.delete_webchat_conversation(username, conversation_id)
+        self.db.delete_conversation(username, conversation_id)
        return Response().ok().__dict__
    
    async def new_conversation(self):
        username = g.get('username', 'guest')
        conversation_id = str(uuid.uuid4())
-        self.db.webchat_new_conversation(username, conversation_id)
+        self.db.new_conversation(username, conversation_id)
        return Response().ok(data={
            'conversation_id': conversation_id
        }).__dict__
        
    async def get_conversations(self):
        username = g.get('username', 'guest')
-        conversations = self.db.get_webchat_conversations(username)
+        conversations = self.db.get_conversations(username)
        return Response().ok(data=conversations).__dict__
    
    async def get_conversation(self):
@@ -226,7 +226,7 @@ class ChatRoute(Route):
        if not conversation_id:
            return Response().error("Missing key: conversation_id").__dict__
        
-        conversation = self.db.get_webchat_conversation_by_user_id(username, conversation_id)
+        conversation = self.db.get_conversation_by_user_id(username, conversation_id)
        
        self.curr_user_cid[username] = conversation_id
        
--- a/astrbot/dashboard/routes/config.py
+++ b/astrbot/dashboard/routes/config.py
@@ -1,3 +1,5 @@
+import typing
+import traceback
 from .route import Route, Response, RouteContext
 from quart import request
 from astrbot.core.config.default import CONFIG_METADATA_2, DEFAULT_VALUE_MAP
@@ -17,7 +19,7 @@ def try_cast(value: str, type_: str):
    elif type_ == "float" and isinstance(value, int):
        return float(value)

-def validate_config(data, schema: dict, is_core: bool):
+def validate_config(data, schema: dict, is_core: bool) -> typing.Tuple[typing.List[str], typing.Dict]:
    errors = []
    def validate(data, metadata=schema, path=""):
        for key, meta in metadata.items():
@@ -60,22 +62,23 @@ def validate_config(data, schema: dict, is_core: bool):
            group_meta = group.get("metadata")
            if not group_meta:
                continue
-            logger.info(f"验证配置: 组 {key} ...")
+            # logger.info(f"验证配置: 组 {key} ...")
            validate(data, group_meta, path=f"{key}.")
    else:
        validate(data, schema)
    
-    return errors
+    return errors, data

 def save_config(post_config: dict, config: AstrBotConfig, is_core: bool = False):
    '''验证并保存配置'''
    errors = None
    try:
        if is_core:
-            errors = validate_config(post_config, CONFIG_METADATA_2, is_core)
+            errors, post_config = validate_config(post_config, CONFIG_METADATA_2, is_core)
        else:
-            errors = validate_config(post_config, config.schema, is_core)
+            errors, post_config = validate_config(post_config, config.schema, is_core)
    except BaseException as e:
+        logger.error(traceback.format_exc())
        logger.warning(f"验证配置时出现异常: {e}")
    if errors:
        raise ValueError(f"格式校验未通过: {errors}")
@@ -89,6 +92,14 @@ class ConfigRoute(Route):
            '/config/get': ('GET', self.get_configs),
            '/config/astrbot/update': ('POST', self.post_astrbot_configs),
            '/config/plugin/update': ('POST', self.post_plugin_configs),
+            
+            '/config/platform/new': ('POST', self.post_new_platform),
+            '/config/platform/update': ('POST', self.post_update_platform),
+            '/config/platform/delete': ('POST', self.post_delete_platform),
+            
+            '/config/provider/new': ('POST', self.post_new_provider),
+            '/config/provider/update': ('POST', self.post_update_provider),
+            '/config/provider/delete': ('POST', self.post_delete_provider)
        }
        self.register_routes()

@@ -117,7 +128,99 @@ class ConfigRoute(Route):
            return Response().ok(None, f"保存插件 {plugin_name} 成功~ 机器人正在重载配置。").__dict__
        except Exception as e:
            return Response().error(str(e)).__dict__
-            
+    
+    async def post_new_platform(self):
+        new_platform_config = await request.json
+        self.config['platform'].append(new_platform_config)
+        try:
+            save_config(self.config, self.config, is_core=True)
+            await self.core_lifecycle.platform_manager.load_platform(new_platform_config)
+        except Exception as e:
+            return Response().error(str(e)).__dict__
+        return Response().ok(None, "新增平台配置成功~").__dict__
+    
+    async def post_new_provider(self):
+        new_provider_config = await request.json
+        self.config['provider'].append(new_provider_config)
+        try:
+            save_config(self.config, self.config, is_core=True)
+            await self.core_lifecycle.provider_manager.load_provider(new_provider_config)
+        except Exception as e:
+            return Response().error(str(e)).__dict__
+        return Response().ok(None, "新增服务提供商配置成功~").__dict__
+    
+    async def post_update_platform(self):
+        update_platform_config = await request.json
+        platform_id = update_platform_config.get("id", None)
+        new_config = update_platform_config.get("config", None)
+        if not platform_id or not new_config:
+            return Response().error("参数错误").__dict__
+        
+        for i, platform in enumerate(self.config['platform']):
+            if platform['id'] == platform_id:
+                self.config['platform'][i] = new_config
+                break
+        else:
+            return Response().error("未找到对应平台").__dict__
+        
+        try:
+            await self._save_astrbot_configs(self.config)
+        except Exception as e:
+            return Response().error(str(e)).__dict__
+        return Response().ok(None, "更新平台配置成功~").__dict__
+    
+    async def post_update_provider(self):
+        update_provider_config = await request.json
+        provider_id = update_provider_config.get("id", None)
+        new_config = update_provider_config.get("config", None)
+        if not provider_id or not new_config:
+            return Response().error("参数错误").__dict__
+        
+        for i, provider in enumerate(self.config['provider']):
+            if provider['id'] == provider_id:
+                self.config['provider'][i] = new_config
+                break
+        else:
+            return Response().error("未找到对应服务提供商").__dict__
+        
+        try:
+            save_config(self.config, self.config, is_core=True)
+            await self.core_lifecycle.provider_manager.reload(new_config)
+        except Exception as e:
+            return Response().error(str(e)).__dict__
+        return Response().ok(None, "更新成功，已经实时生效~").__dict__
+    
+    async def post_delete_platform(self):
+        platform_id = await request.json
+        platform_id = platform_id.get("id")
+        for i, platform in enumerate(self.config['platform']):
+            if platform['id'] == platform_id:
+                del self.config['platform'][i]
+                break
+        else:
+            return Response().error("未找到对应平台").__dict__
+        try:
+            await self._save_astrbot_configs(self.config)
+        except Exception as e:
+            return Response().error(str(e)).__dict__
+        return Response().ok(None, "删除平台配置成功~").__dict__
+    
+    async def post_delete_provider(self):
+        provider_id = await request.json
+        provider_id = provider_id.get("id")
+        for i, provider in enumerate(self.config['provider']):
+            if provider['id'] == provider_id:
+                del self.config['provider'][i]
+                break
+        else:
+            return Response().error("未找到对应服务提供商").__dict__
+        try:
+            save_config(self.config, self.config, is_core=True)
+            await self.core_lifecycle.provider_manager.terminate_provider(provider_id)
+        except Exception as e:
+            return Response().error(str(e)).__dict__
+        return Response().ok(None, "删除成功，已经实时生效~").__dict__
+
    async def _get_astrbot_config(self):
        config = self.config
        
--- a/astrbot/dashboard/routes/plugin.py
+++ b/astrbot/dashboard/routes/plugin.py
@@ -1,11 +1,16 @@
 import traceback
 import aiohttp
-import uuid
 from .route import Route, Response, RouteContext
 from astrbot.core import logger
 from quart import request
 from astrbot.core.star.star_manager import PluginManager
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
+from astrbot.core.star.star_handler import star_handlers_registry
+from astrbot.core.star.filter.command import CommandFilter
+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

 class PluginRoute(Route):
    def __init__(self, context: RouteContext, core_lifecycle: AstrBotCoreLifecycle, plugin_manager: PluginManager) -> None:
@@ -18,22 +23,57 @@ class PluginRoute(Route):
            '/plugin/uninstall': ('POST', self.uninstall_plugin),
            '/plugin/market_list': ('GET', self.get_online_plugins),
            '/plugin/off': ('POST', self.off_plugin),
-            '/plugin/on': ('POST', self.on_plugin)
+            '/plugin/on': ('POST', self.on_plugin),
+            '/plugin/reload': ('POST', self.reload_plugins),
        }
        self.core_lifecycle = core_lifecycle
        self.plugin_manager = plugin_manager
        self.register_routes()
+        
+        self.translated_event_type = {
+            EventType.AdapterMessageEvent: "平台消息下发时",
+            EventType.OnLLMRequestEvent: "LLM 请求时",
+            EventType.OnLLMResponseEvent: "LLM 响应后",
+            EventType.OnDecoratingResultEvent: "回复消息前",
+            EventType.OnCallingFuncToolEvent: "函数工具",
+            EventType.OnAfterMessageSentEvent: "发送消息后"
+        }
+        
+    async def reload_plugins(self):
+        data = await request.json
+        plugin_name = data.get("name", None)
+        try:
+            success, message = await self.plugin_manager.reload(plugin_name)
+            if not success:
+                return Response().error(message).__dict__
+            return Response().ok(None, "重载成功。").__dict__
+        except Exception as e:
+            logger.error(f"/api/plugin/reload: {traceback.format_exc()}")
+            return Response().error(str(e)).__dict__
    
    async def get_online_plugins(self):
-        url = "https://soulter.github.io/AstrBot_Plugins_Collection/plugins.json"
-        try:
-            async with aiohttp.ClientSession(trust_env=True) as session:
-                async with session.get(url) as response:
-                    result = await response.json()
-            return Response().ok(result).__dict__
-        except Exception as e:
-            logger.error(f"获取插件列表失败：{e}")
-            return Response().error(str(e)).__dict__
+        custom = request.args.get("custom_registry")
+        
+        if custom:
+            urls = [custom]
+        else:
+            urls = [
+                "https://api.soulter.top/astrbot/plugins"
+            ]
+            
+        for url in urls:
+            try:
+                async with aiohttp.ClientSession(trust_env=True) as session:
+                    async with session.get(url) as response:
+                        if response.status == 200:
+                            result = await response.json()
+                            return Response().ok(result).__dict__
+                        else:
+                            logger.error(f"请求 {url} 失败，状态码：{response.status}")
+            except Exception as e:
+                logger.error(f"请求 {url} 失败，错误：{e}")
+        
+        return Response().error("获取插件列表失败").__dict__
    
    async def get_plugins(self):
        _plugin_resp = []
@@ -45,17 +85,78 @@ class PluginRoute(Route):
                "desc": plugin.desc,
                "version": plugin.version,
                "reserved": plugin.reserved,
-                "activated": plugin.activated
+                "activated": plugin.activated,
+                "online_vesion": "",
+                "handlers": await self.get_plugin_handlers_info(plugin.star_handler_full_names),
            }
            _plugin_resp.append(_t)
-        return Response().ok(_plugin_resp).__dict__
+        return Response().ok(_plugin_resp, message=self.plugin_manager.failed_plugin_info).__dict__
+    
+    async def get_plugin_handlers_info(self, handler_full_names: list[str]):
+        '''解析插件行为'''
+        handlers = []
+        
+        for handler_full_name in handler_full_names:
+            info = {}
+            handler = star_handlers_registry.star_handlers_map.get(handler_full_name, None)
+            if handler is None:
+                continue
+            info["event_type"] = handler.event_type.name
+            info["event_type_h"] = self.translated_event_type.get(handler.event_type, handler.event_type.name)
+            info["handler_full_name"] = handler.handler_full_name
+            info["desc"] = handler.desc
+            info["handler_name"] = handler.handler_name
+            
+            if handler.event_type == EventType.AdapterMessageEvent:
+                # 处理平台适配器消息事件
+                has_admin = False
+                for filter in handler.event_filters: # 正常handler就只有 1~2 个 filter，因此这里时间复杂度不会太高
+                    if isinstance(filter, CommandFilter):
+                        info["type"] = "指令"
+                        info["cmd"] = f"{filter.parent_command_names[0]} {filter.command_name}"
+                        info["cmd"] = info["cmd"].strip()
+                        if self.core_lifecycle.astrbot_config['wake_prefix'] and len(self.core_lifecycle.astrbot_config['wake_prefix']) > 0:
+                            info["cmd"] = f"{self.core_lifecycle.astrbot_config['wake_prefix'][0]}{info['cmd']}"
+                    elif isinstance(filter, CommandGroupFilter):
+                        info["type"] = "指令组"
+                        info["cmd"] = filter.get_complete_command_names()[0]
+                        info["cmd"] = info["cmd"].strip()
+                        info["sub_command"] = filter.print_cmd_tree(filter.sub_command_filters)
+                        if self.core_lifecycle.astrbot_config['wake_prefix'] and len(self.core_lifecycle.astrbot_config['wake_prefix']) > 0:
+                            info["cmd"] = f"{self.core_lifecycle.astrbot_config['wake_prefix'][0]}{info['cmd']}"
+                    elif isinstance(filter, RegexFilter):
+                        info["type"] = "正则匹配"
+                        info["cmd"] = filter.regex_str
+                    elif isinstance(filter, PermissionTypeFilter):
+                        has_admin = True
+                info["has_admin"] = has_admin
+                if "cmd" not in info:
+                    info["cmd"] = "未知"
+                if "type" not in info:
+                    info["type"] = "事件监听器"
+            else:
+                info["cmd"] = "自动触发"
+                info["type"] = "无"
+                
+            if not info["desc"]:
+                info["desc"] = "无描述"
+                
+            handlers.append(info)
+                    
+        return handlers
        
    async def install_plugin(self):
        post_data = await request.json
        repo_url = post_data["url"]
+        
+        proxy: str = post_data.get("proxy", None)
+        if proxy:
+            proxy = proxy.removesuffix("/")
+        
        try:
            logger.info(f"正在安装插件 {repo_url}")
-            await self.plugin_manager.install_plugin(repo_url)
+            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__
        except Exception as e:
@@ -70,6 +171,7 @@ class PluginRoute(Route):
            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()
            logger.info(f"安装插件 {file.filename} 成功")
            return Response().ok(None, "安装成功。").__dict__
        except Exception as e:
@@ -91,13 +193,15 @@ class PluginRoute(Route):
    async def update_plugin(self):
        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)
+            await self.plugin_manager.update_plugin(plugin_name, proxy)
+            self.core_lifecycle.restart()
            logger.info(f"更新插件 {plugin_name} 成功。")
            return Response().ok(None, "更新成功。").__dict__
        except Exception as e:
-            logger.error(f"/api/extensions/update: {traceback.format_exc()}")
+            logger.error(f"/api/plugin/update: {traceback.format_exc()}")
            return Response().error(str(e)).__dict__
        
    async def off_plugin(self):
@@ -108,7 +212,7 @@ class PluginRoute(Route):
            logger.info(f"停用插件 {plugin_name} 。")
            return Response().ok(None, "停用成功。").__dict__
        except Exception as e:
-            logger.error(f"/api/extensions/off: {traceback.format_exc()}")
+            logger.error(f"/api/plugin/off: {traceback.format_exc()}")
            return Response().error(str(e)).__dict__

    async def on_plugin(self):
@@ -119,5 +223,5 @@ class PluginRoute(Route):
            logger.info(f"启用插件 {plugin_name} 。")
            return Response().ok(None, "启用成功。").__dict__
        except Exception as e:
-            logger.error(f"/api/extensions/on: {traceback.format_exc()}")
+            logger.error(f"/api/plugin/on: {traceback.format_exc()}")
            return Response().error(str(e)).__dict__
--- a/astrbot/dashboard/routes/stat.py
+++ b/astrbot/dashboard/routes/stat.py
@@ -16,7 +16,7 @@ class StatRoute(Route):
            '/stat/get': ('GET', self.get_stat),
            '/stat/version': ('GET', self.get_version),
            '/stat/start-time': ('GET', self.get_start_time),
-            '/stat/restart-core': ('GET', self.restart_core)
+            '/stat/restart-core': ('POST', self.restart_core)
        }
        self.db_helper = db_helper
        self.register_routes()
--- a/astrbot/dashboard/routes/static_file.py
+++ b/astrbot/dashboard/routes/static_file.py
@@ -1,15 +1,31 @@
 from .route import Route, RouteContext
+
+
 class StaticFileRoute(Route):
    def __init__(self, context: RouteContext) -> None:
        super().__init__(context)
-        
-        index_ = ['/', '/auth/login', '/config', '/logs', '/extension', '/dashboard/default', '/project-atri', '/console', '/chat']
+
+        index_ = [
+            "/",
+            "/auth/login",
+            "/config",
+            "/logs",
+            "/extension",
+            "/dashboard/default",
+            "/project-atri",
+            "/console",
+            "/chat",
+            "/settings",
+            "/platforms",
+            "/providers",
+            "/about",
+        ]
        for i in index_:
            self.app.add_url_rule(i, view_func=self.index)
-            
+
        @self.app.errorhandler(404)
        async def page_not_found(e):
-            return "404 Not found。如果你初次使用打开面板发现 404，请参考文档: https://astrbot.app/deploy/dashboard-404.html"
-    
+            return "404 Not found。如果你初次使用打开面板发现 404, 请参考文档: https://astrbot.app/faq.html。"
+
    async def index(self):
-        return await self.app.send_static_file('index.html')
+        return await self.app.send_static_file("index.html")
--- a/astrbot/dashboard/routes/update.py
+++ b/astrbot/dashboard/routes/update.py
@@ -13,6 +13,7 @@ class UpdateRoute(Route):
        super().__init__(context)
        self.routes = {
            '/update/check': ('GET', self.check_update),
+            '/update/releases': ('GET', self.get_releases),
            '/update/do': ('POST', self.update_project),
            '/update/dashboard': ('POST', self.update_dashboard),
            '/update/pip-install': ('POST', self.install_pip_package)
@@ -46,6 +47,14 @@ class UpdateRoute(Route):
        except Exception as e:
            logger.warning(f"检查更新失败: {str(e)} (不影响除项目更新外的正常使用)")
            return Response().error(e.__str__()).__dict__
+        
+    async def get_releases(self):
+        try:
+            ret = await self.astrbot_updator.get_releases()
+            return Response().ok(ret).__dict__
+        except Exception as e:
+            logger.error(f"/api/update/releases: {traceback.format_exc()}")
+            return Response().error(e.__str__()).__dict__
    
    async def update_project(self):
        data = await request.json
@@ -56,8 +65,13 @@ class UpdateRoute(Route):
            version = ''
        else:
            latest = False
+
+        proxy: str = data.get("proxy", None)
+        if proxy:
+            proxy = proxy.removesuffix("/")
+
        try:
-            await self.astrbot_updator.update(latest=latest, version=version)
+            await self.astrbot_updator.update(latest=latest, version=version, proxy=proxy)
            
            if latest:
                try:
--- a/astrbot/dashboard/server.py
+++ b/astrbot/dashboard/server.py
@@ -2,6 +2,10 @@ import logging
 import jwt
 import asyncio
 import os
+import socket
+import sys
+import psutil
+from astrbot.core.config.default import VERSION
 from quart import Quart, request, jsonify, g
 from quart.logging import default_handler
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
@@ -66,16 +70,74 @@ class AstrBotDashboard():
            await asyncio.sleep(1)
        logger.info("管理面板已关闭。")
        
+    def check_port_in_use(self, port: int) -> bool:
+        """
+        跨平台检测端口是否被占用
+        """
+        try:
+            # 创建 IPv4 TCP Socket
+            sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+            sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
+            # 设置超时时间
+            sock.settimeout(2)
+            result = sock.connect_ex(('127.0.0.1', port))
+            sock.close()
+            # result 为 0 表示端口被占用
+            return result == 0
+        except Exception as e:
+            logger.warning(f"检查端口 {port} 时发生错误: {str(e)}")
+            # 如果出现异常，保守起见认为端口可能被占用
+            return True
+    
+    def get_process_using_port(self, port: int) -> str:
+        """获取占用端口的进程详细信息"""
+        try:
+            for conn in psutil.net_connections(kind='inet'):
+                if conn.laddr.port == port:
+                    try:
+                        process = psutil.Process(conn.pid)
+                        # 获取详细信息
+                        proc_info = [
+                            f"进程名: {process.name()}",
+                            f"PID: {process.pid}",
+                            f"执行路径: {process.exe()}",
+                            f"工作目录: {process.cwd()}",
+                            f"启动命令: {' '.join(process.cmdline())}"
+                        ]
+                        return "\n           ".join(proc_info)
+                    except (psutil.NoSuchProcess, psutil.AccessDenied) as e:
+                        return f"无法获取进程详细信息(可能需要管理员权限): {str(e)}"
+            return "未找到占用进程"
+        except Exception as e:
+            return f"获取进程信息失败: {str(e)}"
+    
    def run(self):
-        ip_addr = get_local_ip_addresses()
-        logger.info(f"""
-✨✨✨
-AstrBot 管理面板已启动，可访问
+        try:
+            ip_addr = get_local_ip_addresses()
+        except Exception as e:
+            ip_addr = []
+            
+        port = self.core_lifecycle.astrbot_config['dashboard'].get("port", 6185)
+        if isinstance(port, str):
+            port = int(port)

-1. http://{ip_addr}:6185
-2. http://localhost:6185
+        if self.check_port_in_use(port):
+            process_info = self.get_process_using_port(port)
+            logger.error(f"错误：端口 {port} 已被占用\n"
+                        f"占用信息: \n           {process_info}\n"
+                        f"请确保：\n"
+                        f"1. 没有其他 AstrBot 实例正在运行\n"
+                        f"2. 端口 {port} 没有被其他程序占用\n"
+                        f"3. 如需使用其他端口，请修改配置文件")
+            
+            raise Exception(f"端口 {port} 已被占用")
+    
+        display = f"\n ✨✨✨\n  AstrBot v{VERSION} 管理面板已启动，可访问\n\n"
+        display += f"   ➜  本地: http://localhost:{port}\n"
+        for ip in ip_addr:
+            display += f"   ➜  网络: http://{ip}:{port}\n"
+        display += "   ➜  默认用户名和密码: astrbot\n ✨✨✨\n"
+        logger.info(display)
+        

-默认用户名和密码是 astrbot。
-✨✨✨
-""")
-        return self.app.run_task(host="0.0.0.0", port=6185, shutdown_trigger=self.shutdown_trigger_placeholder)
+        return self.app.run_task(host="0.0.0.0", port=port, shutdown_trigger=self.shutdown_trigger_placeholder)
--- a/changelogs/v3.4.18.md
+++ b/changelogs/v3.4.18.md
@@ -0,0 +1,12 @@
+# What's Changed
+
+- fix: 修复主动概率回复关闭后仍然回复的问题 #317
+- fix: 尝试修复 gewechat 群聊收不到 at 的回复 #294
+- perf: 移除了默认人格
+- fix: 修复HTTP代理删除后不生效 #319
+- fix: 调用Gemini API输出多余空行问题 #318
+- feat: 添加硅基流动模版
+- fix: 硅基流动 not a vlm 和 tool calling not supported 报错 #305 #291
+- perf: 回复时艾特发送者之后添加空格或换行 #312
+- fix: docker容器内时区不对导致 reminder 时间错误
+- perf: siliconcloud 不支持 tool 的模型
--- a/changelogs/v3.4.19.md
+++ b/changelogs/v3.4.19.md
@@ -0,0 +1,13 @@
+# What's Changed
+
+1. 支持接入企业微信（测试）
+2. 修复速率限制不可用的问题
+3. gewechat 回调接口默认暴露在所有 IP
+4. 适配 Azure OpenAI
+5. 修复请求 gemini 出现 KeyError 'candidates' 的错误
+6. 将 /reset /persona 挪入管理员指令 #308
+7. 支持通过 /alter_cmd 设置所有指令是否只能管理员操作
+8. /plugin 指令支持查看插件注册的指令和指令组
+9. 插件注册指令支持传入指令的描述以方便 /plugin 查看。需要写在函数的第一行的 docstring 中。
+10. 修复 schema 中 object hint 不显示 #290
+11. feat: 优化插件市场的访问速度
--- a/changelogs/v3.4.20.md
+++ b/changelogs/v3.4.20.md
@@ -0,0 +1,15 @@
+# What's Changed
+
+> 由于重写了会话记录部分，更新此版本后，将会造成之前的对话记录清空（但没有被删除）。
+> 关于更好的对话管理，如果有任何报错或者优化建议，请直接提交 issue~
+
+1. 更好的对话管理，支持 /ls, /del, /new, /switch, /rename 指令来操作对话。
+2. 人格情境跟随对话。每个对话支持独立设置人格情境，只需要 /persona 指令切换即可。
+3. 支持使用 LLM 辅助分段回复 #338
+4. 优化 aiocqhttp 适配器对用户非法输入的处理
+5. 优化插件页面
+6. 修复权限过滤算子导致的问题 #350
+7. 修复级联指令组时出现载入错误的问题 #366
+8. 修复代码执行器的一个typo by @eltociear
+9. 修复指令组情况下可能造成多指令出触发的问题
+10. 添加屏蔽无权限指令回复的功能 #361
--- a/changelogs/v3.4.21.md
+++ b/changelogs/v3.4.21.md
@@ -0,0 +1,19 @@
+# What's Changed
+
+> 由于重写了会话记录部分，更新此版本后，将会造成之前的对话记录清空（但没有被删除）。
+> 关于更好的对话管理，如果有任何报错或者优化建议，请直接提交 issue~
+
+1. 修复 reminder 时区问题
+2. 面板支持重载单个插件 #297
+3. 面板支持列表展示插件市场
+4. 文字转图片支持自定义字数阈值(配置->其他配置)
+5. 面板更好的列表可视化 #274
+6. 面板支持查看插件行为
+7. 支持设置 timeout 超时时间参数，防止思考模型太长达到超时时间。(需要重新配置服务提供商或者在服务提供商 config 中配置 timeout 参数) #378
+8. openrouter 报错 no endpoints found that support tool use #371
+9. 修复插件 metadata 不生效的问题
+10. 修复不支持图片的模型请求异常
+11. 修复 reminder 无法删除的问题 
+12. 修复 /model 切换不了模型的问题
+13. 插件支持设置优先级 
+14. 聊天增强图像转述支持自定义 provider id。#274
--- a/changelogs/v3.4.22.md
+++ b/changelogs/v3.4.22.md
@@ -0,0 +1,12 @@
+# What's Changed
+
+1. fix: 400 Bad Request: The browser (or proxy) sent a request that this server could not understand. #396
+2. remove: 移除了 put_history_to_prompt。当主动回复时，将群聊记录将自动放入prompt，当未主动回复但是开启群聊增强时，群聊记录将放入system prompt
+3. fix: 插件错误信息点击关闭没反应 #394
+4. fix: 自部署文转图不生效 #352
+5. fix: Google Search 报 429 错误时，放宽 Exception 至其他搜索引擎 #405
+6. fix: 使用 Google Gemini （OpenAI 兼容）的部分情况下联网搜索等函数调用工具没被调用 #342
+7. fix: 修复尝试弹出最早的记录失效的问题
+8. fix: 移除了分段回复llm提示词辅助
+9. perf: 当图片数据为空时不加入上下文 #379
+10. 修复 dify 返回的结果带有多行数据时的 json 解析异常导致返回值为空的问题 #298 by @zhaolj
--- a/changelogs/v3.4.23.md
+++ b/changelogs/v3.4.23.md
@@ -0,0 +1,11 @@
+# What's Changed
+
+0. ✨ 新增: 支持 海豚 AI（FishAudio） TTS API #433 by @Cvandia
+1. 🐛 修复: 当群聊主动回复时，不会带上人格的Prompt #419
+2. ✨ 新增: 支持展示插件是否有更新
+3. 👌 优化: 增加DIFY超时时间 #422
+4. 🐛 修复: 自部署文转图不生效 #352
+5. 🐛 修复: 修复 qq 回复别人的时候也会触发机器人, Onebot at 使用 string #330
+6. 👌 优化: 增加DIFY超时时间 #422
+7. 🐛 修复: 重启gewe的时候机器人会疯狂发消息 #421
+8. 🐛 修复: 修复子指令设置permission之后会导致其一定会被执行 #427
--- a/Show More
+++ b/Show More