chore: bump version to 4.2.0

fixes: #2889

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,19 +1,46 @@
-<!-- 如果有的话，指定这个 PR 要解决的 ISSUE -->
-解决了 #XYZ
+<!-- 如果有的话，请指定此 PR 旨在解决的 ISSUE 编号。 -->
+<!-- If applicable, please specify the ISSUE number this PR aims to resolve. -->
 
-### Motivation
+fixes #XYZ
 
-<!--解释为什么要改动-->
+---
 
-### Modifications
+### Motivation / 动机
 
-<!--简单解释你的改动-->
+<!--请描述此项更改的动机：它解决了什么问题？（例如：修复了 XX 错误，添加了 YY 功能）-->
+<!--Please describe the motivation for this change: What problem does it solve? (e.g., Fixes XX bug, adds YY feature)-->
 
-### Check
+### Modifications / 改动点
 
-<!--如果分支被合并，您的代码将服务于数万名用户！在提交前，请核查一下几点内容-->
+<!--请总结你的改动：哪些核心文件被修改了？实现了什么功能？-->
+<!--Please summarize your changes: What core files were modified? What functionality was implemented?-->
 
-- [ ] 😊 我的 Commit Message 符合良好的[规范](https://www.conventionalcommits.org/en/v1.0.0/#summary)
-- [ ] 👀 我的更改经过良好的测试
-- [ ] 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到了 `requirements.txt` 和 `pyproject.toml` 文件相应位置。
-- [ ] 😮 我的更改没有引入恶意代码
+### Verification Steps / 验证步骤
+
+<!--请为审查者 (Reviewer) 提供清晰、可复现的验证步骤（例如：1. 导航到... 2. 点击...）。-->
+<!--Please provide clear and reproducible verification steps for the Reviewer (e.g., 1. Navigate to... 2. Click...).-->
+
+### Screenshots or Test Results / 运行截图或测试结果
+
+<!--请粘贴截图、GIF 或测试日志，作为执行“验证步骤”的证据，证明此改动有效。-->
+<!--Please paste screenshots, GIFs, or test logs here as evidence of executing the "Verification Steps" to prove this change is effective.-->
+
+### Compatibility & Breaking Changes / 兼容性与破坏性变更
+
+<!--请说明此变更的兼容性：哪些是破坏性变更？哪些地方做了向后兼容处理？是否提供了数据迁移方法？-->
+<!--Please explain the compatibility of this change: What are the breaking changes? What backward-compatible measures were taken? Are data migration paths provided?-->
+
+- [ ] 这是一个破坏性变更 (Breaking Change)。/ This is a breaking change.
+- [ ] 这不是一个破坏性变更。/ This is NOT a breaking change.
+
+---
+
+### Checklist / 检查清单
+
+<!--如果分支被合并，您的代码将服务于数万名用户！在提交前，请核查一下几点内容。-->
+<!--If merged, your code will serve tens of thousands of users! Please double-check the following items before submitting.-->
+
+- [ ] 😊 如果 PR 中有新加入的功能，已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
+- [ ] 👀 我的更改经过了良好的测试，**并已在上方提供了“验证步骤”和“运行截图”**。/ My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
+- [ ] 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到了 `requirements.txt` 和 `pyproject.toml` 文件相应位置。/ I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
+- [ ] 😮 我的更改没有引入恶意代码。/ My changes do not introduce malicious code.

.github/auto_assign.yml

@@ -0,0 +1,36 @@
+# Set to true to add reviewers to pull requests
+addReviewers: true
+
+# Set to true to add assignees to pull requests
+addAssignees: false
+
+# A list of reviewers to be added to pull requests (GitHub user name)
+reviewers:
+  - Soulter
+  - Raven95676
+  - Larch-C
+  - anka-afk
+  - advent259141
+  # - zouyonghe
+
+# A number of reviewers added to the pull request
+# Set 0 to add all the reviewers (default: 0)
+numberOfReviewers: 2
+
+# A list of assignees, overrides reviewers if set
+# assignees:
+#   - assigneeA
+
+# A number of assignees to add to the pull request
+# Set to 0 to add all of the assignees.
+# Uses numberOfReviewers if unset.
+# numberOfAssignees: 2
+
+# A list of keywords to be skipped the process that add reviewers if pull requests include it
+skipKeywords:
+  - wip
+  - draft
+
+# A list of users to be skipped by both the add reviewers and add assignees processes
+# skipUsers:
+#   - dependabot[bot]

.github/workflows/auto_release.yml

@@ -73,7 +73,7 @@ jobs:
         uses: actions/checkout@v5
 
       - name: Set up Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: '3.10'
 

.github/workflows/code-format.yml

@@ -0,0 +1,34 @@
+name: Code Format Check
+
+on:
+  pull_request:
+    branches: [ master ]
+  push:
+    branches: [ master ]
+
+jobs:
+  format-check:
+    runs-on: ubuntu-latest
+    
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v5
+      
+    - name: Set up Python
+      uses: actions/setup-python@v6
+      with:
+        python-version: '3.10'
+        
+    - name: Install UV
+      run: pip install uv
+      
+    - name: Install dependencies
+      run: uv sync
+      
+    - name: Check code formatting with ruff
+      run: |
+        uv run ruff format --check .
+        
+    - name: Check code style with ruff
+      run: |
+        uv run ruff check .

.github/workflows/coverage_test.yml

@@ -22,7 +22,7 @@ jobs:
           fetch-depth: 0
 
       - name: Set up Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
       
       - name: Install dependencies
         run: |

.github/workflows/dashboard_ci.yml

@@ -25,6 +25,8 @@ jobs:
           echo "COMMIT_SHA=$(git rev-parse HEAD)" >> $GITHUB_ENV
           mkdir -p dashboard/dist/assets
           echo $COMMIT_SHA > dashboard/dist/assets/version
+          cd dashboard
+          zip -r dist.zip dist
 
       - name: Archive production artifacts
         uses: actions/upload-artifact@v4
@@ -33,3 +35,14 @@ jobs:
           path: |
             dashboard/dist
             !dist/**/*.md
+
+      - name: Create GitHub Release
+        if: github.event_name == 'push'
+        uses: ncipollo/release-action@v1
+        with:
+          tag: release-${{ github.sha }}
+          owner: AstrBotDevs
+          repo: astrbot-release-harbour
+          body: "Automated release from commit ${{ github.sha }}"
+          token: ${{ secrets.ASTRBOT_HARBOUR_TOKEN }}
+          artifacts: "dashboard/dist.zip"

.github/workflows/docker-image.yml

@@ -27,6 +27,33 @@ jobs:
         if: github.event_name == 'workflow_dispatch'
         run: git checkout ${{ steps.get-latest-tag.outputs.latest_tag }}
 
+      - name: Check if version is pre-release
+        id: check-prerelease
+        run: |
+          if [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
+            version="${{ steps.get-latest-tag.outputs.latest_tag }}"
+          else
+            version="${{ github.ref_name }}"
+          fi
+          if [[ "$version" == *"beta"* ]] || [[ "$version" == *"alpha"* ]]; then
+            echo "is_prerelease=true" >> $GITHUB_OUTPUT
+            echo "Version $version is a pre-release, will not push latest tag"
+          else
+            echo "is_prerelease=false" >> $GITHUB_OUTPUT
+            echo "Version $version is a stable release, will push latest tag"
+          fi
+
+      - name: Build Dashboard
+        run: |
+          cd dashboard
+          npm install
+          npm run build
+          mkdir -p dist/assets
+          echo $(git rev-parse HEAD) > dist/assets/version
+          cd ..
+          mkdir -p data
+          cp -r dashboard/dist data/
+
       - name: Set QEMU
         uses: docker/setup-qemu-action@v3
 
@@ -53,9 +80,9 @@ jobs:
           platforms: linux/amd64,linux/arm64
           push: true
           tags: |
-            ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:latest
+            ${{ steps.check-prerelease.outputs.is_prerelease == 'false' && format('{0}/astrbot:latest', secrets.DOCKER_HUB_USERNAME) || '' }}
             ${{ secrets.DOCKER_HUB_USERNAME }}/astrbot:${{ github.event_name == 'workflow_dispatch' && steps.get-latest-tag.outputs.latest_tag || github.ref_name }}
-            ghcr.io/soulter/astrbot:latest
+            ${{ steps.check-prerelease.outputs.is_prerelease == 'false' && 'ghcr.io/soulter/astrbot:latest' || '' }}
             ghcr.io/soulter/astrbot:${{ github.event_name == 'workflow_dispatch' && steps.get-latest-tag.outputs.latest_tag || github.ref_name }}
 
       - name: Post build notifications

.github/workflows/stale.yml

@@ -18,7 +18,7 @@ jobs:
       pull-requests: write
 
     steps:
-    - uses: actions/stale@v9
+    - uses: actions/stale@v10
       with:
         repo-token: ${{ secrets.GITHUB_TOKEN }}
         stale-issue-message: 'Stale issue message'

README.md

@@ -1,4 +1,4 @@
-<p align="center">
+<img width="430" height="31" alt="image" src="https://github.com/user-attachments/assets/474c822c-fab7-41be-8c23-6dae252823ed" /><p align="center">
  
 ![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
 
@@ -6,8 +6,6 @@
 
 <div align="center">
 
-_✨ 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?style=for-the-badge&color=76bad9)](https://github.com/Soulter/AstrBot/releases/latest)
@@ -16,18 +14,18 @@ _✨ 易上手的多平台 LLM 聊天机器人及开发框架 ✨_
 <a  href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
 <a  href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
 [![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg?style=for-the-badge&color=76bad9)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
-![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7日消息量&cacheSeconds=3600&style=for-the-badge&color=3b618e)
 ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E4%B8%AA&style=for-the-badge&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%9C%BA&cacheSeconds=3600)
 
 <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://astrbot.app/">文档</a> ｜
+<a href="https://blog.astrbot.app/">Blog</a> ｜
 <a href="https://github.com/Soulter/AstrBot/issues">问题提交</a>
 </div>
 
-AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用的插件系统和完善的大语言模型（LLM）接入功能的聊天机器人及开发框架。
+AstrBot 是一个开源的一站式 Agentic 聊天机器人平台及开发框架。
 
-## ✨ 主要功能
+## 主要功能
 
 1. **大模型对话**。支持接入多种大模型服务。支持多模态、工具调用、MCP、原生知识库、人设等功能。
 2. **多消息平台支持**。支持接入 QQ、企业微信、微信公众号、飞书、Telegram、钉钉、Discord、KOOK 等平台。支持速率限制、白名单、百度内容审核。
@@ -35,7 +33,7 @@ AstrBot 是一个松耦合、异步、支持多消息平台部署、具有易用
 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，社区插件生态丰富。
 5. **WebUI**。可视化配置和管理机器人，功能齐全。
 
-## ✨ 使用方式
+## 部署方式
 
 #### Docker 部署
 
@@ -79,9 +77,7 @@ AstrBot 已由雨云官方上架至云应用平台，可一键部署。
 
 #### 手动部署
 
-> 推荐使用 `uv`。
-
-首先，安装 uv：
+首先安装 uv：
 
 ```bash
 pip install uv
@@ -96,6 +92,25 @@ uv run main.py
 
 或者请参阅官方文档 [通过源码部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html) 。
 
+## 🌍 社区
+
+### QQ 群组
+
+- 1 群：322154837
+- 3 群：630166526
+- 5 群：822130018
+- 6 群：753075035
+- 开发者群：975206796
+- 开发者群（备份）：295657329
+
+### Telegram 群组
+
+<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
+
+### Discord 群组
+
+<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
+
 ## ⚡ 消息平台支持情况
 
 | 平台    | 支持性 |
@@ -112,22 +127,20 @@ uv run main.py
 | Discord   | ✔    |
 | [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)   | ✔    |
 | [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)   | ✔    |
-| 微信对话开放平台 | 🚧    |
-| WhatsApp   | 🚧    |
-| 小爱音响   | 🚧    |
+| Satori   | ✔    |
+| Misskey   | ✔    |
 
 ## ⚡ 提供商支持情况
 
 | 名称    | 支持性 | 类型 | 备注 |
 | -------- | ------- | ------- | ------- |
-| OpenAI API | ✔    | 文本生成 | 也支持 DeepSeek、Gemini、Kimi、xAI 等兼容 OpenAI API 的服务 |
-| Claude API | ✔    | 文本生成 |  |
-| Google Gemini API | ✔    | 文本生成 |  |
+| OpenAI | ✔    | 文本生成 | 支持任何兼容 OpenAI API 的服务 |
+| Anthropic | ✔    | 文本生成 |  |
+| Google Gemini | ✔    | 文本生成 |  |
 | Dify | ✔    | LLMOps |  |
 | 阿里云百炼应用 | ✔    | LLMOps |  |
 | Ollama | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
 | LM Studio | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
-| LLMTuner | ✔    | 模型加载器 | 本地加载 lora 等微调模型 |
 | [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | ✔    | 模型 API 及算力服务平台 |  |
 | [302.AI](https://share.302.ai/rr1M3l) | ✔    | 模型 API 服务平台 |  |
 | 硅基流动 | ✔    | 模型 API 服务平台 |  |
@@ -143,7 +156,6 @@ uv run main.py
 | 阿里云百炼 TTS | ✔    | 文本转语音 |  |
 | Azure TTS | ✔    | 文本转语音 | Microsoft Azure TTS |
 
-
 ## ❤️ 贡献
 
 欢迎任何 Issues/Pull Requests！只需要将你的更改提交到此项目 ：)
@@ -162,39 +174,6 @@ pip install pre-commit
 pre-commit install
 ```
 
-## 🌟 支持
-
-- Star 这个项目！
-- 在[爱发电](https://afdian.com/a/soulter)支持我！
-
-## ✨ Demo
-
-<details><summary>👉 点击展开多张 Demo 截图 👈</summary>
-
-<div align='center'>
-
-<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
-
-_✨基于 Docker 的沙箱化代码执行器（Beta 测试）✨_
-
-<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
-
-_✨ 多模态、网页搜索、长文本转图片（可配置） ✨_
-
-<img src="https://github.com/user-attachments/assets/e137a9e1-340a-4bf2-bb2b-771132780735" height=150>
-<img src="https://github.com/user-attachments/assets/480f5e82-cf6a-4955-a869-0d73137aa6e1" height=150>
-
-_✨ 插件系统——部分插件展示 ✨_
-
-<img src="https://github.com/user-attachments/assets/0cdbf564-2f59-4da5-b524-ce0e7ef3d978" width=600>
-
-_✨ WebUI ✨_
-
-</div>
-
-</details>
-
-
 ## ❤️ Special Thanks
 
 特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
@@ -203,10 +182,18 @@ _✨ WebUI ✨_
   <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
 </a>
 
-此外，本项目的诞生离不开以下开源项目：
+此外，本项目的诞生离不开以下开源项目的帮助：
 
 - [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 伟大的猫猫框架
-- [wechatpy/wechatpy](https://github.com/wechatpy/wechatpy)
+
+另外，一些同类型其他的活跃开源 Bot 项目：
+
+- [nonebot/nonebot2](https://github.com/nonebot/nonebot2) - 扩展性极强的 Bot 框架
+- [koishijs/koishi](https://github.com/koishijs/koishi) - 扩展性极强的 Bot 框架
+- [MaiM-with-u/MaiBot](https://github.com/MaiM-with-u/MaiBot) - 注重拟人功能的 ChatBot
+- [langbot-app/LangBot](https://github.com/langbot-app/LangBot) - 功能丰富的 Bot 平台
+- [LroMiose/nekro-agent](https://github.com/KroMiose/nekro-agent) - 注重 Agent 的 ChatBot
+- [zhenxun-org/zhenxun_bot](https://github.com/zhenxun-org/zhenxun_bot) - 功能完善的 ChatBot
 
 ## ⭐ Star History
 
@@ -214,13 +201,11 @@ _✨ WebUI ✨_
 > 如果本项目对您的生活 / 工作产生了帮助，或者您关注本项目的未来发展，请给项目 Star，这是我维护这个开源项目的动力 <3
 
 <div align="center">
-    
+
 [![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
 
 </div>
 
-![10k-star-banner-credit-by-kevin](https://github.com/user-attachments/assets/c97fc5fb-20b9-4bc8-9998-c20b930ab097)
-
+</details>
 
 _私は、高性能ですから!_
-

astrbot/api/__init__.py

@@ -3,5 +3,18 @@ from astrbot import logger
 from astrbot.core import html_renderer
 from astrbot.core import sp
 from astrbot.core.star.register import register_llm_tool as llm_tool
+from astrbot.core.star.register import register_agent as agent
+from astrbot.core.agent.tool import ToolSet, FunctionTool
+from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
 
-__all__ = ["AstrBotConfig", "logger", "html_renderer", "llm_tool", "sp"]
+__all__ = [
+    "AstrBotConfig",
+    "logger",
+    "html_renderer",
+    "llm_tool",
+    "agent",
+    "sp",
+    "ToolSet",
+    "FunctionTool",
+    "BaseFunctionToolExecutor",
+]

astrbot/api/event/filter/__init__.py

@@ -7,6 +7,7 @@ from astrbot.core.star.register import (
     register_permission_type as permission_type,
     register_custom_filter as custom_filter,
     register_on_astrbot_loaded as on_astrbot_loaded,
+    register_on_platform_loaded as on_platform_loaded,
     register_on_llm_request as on_llm_request,
     register_on_llm_response as on_llm_response,
     register_llm_tool as llm_tool,
@@ -41,6 +42,7 @@ __all__ = [
     "custom_filter",
     "PermissionType",
     "on_astrbot_loaded",
+    "on_platform_loaded",
     "on_llm_request",
     "llm_tool",
     "on_decorating_result",

astrbot/cli/utils/basic.py

@@ -37,7 +37,10 @@ async def check_dashboard(astrbot_root: Path) -> None:
                 ):
                     click.echo("正在安装管理面板...")
                     await download_dashboard(
-                        path="data/dashboard.zip", extract_path=str(astrbot_root)
+                        path="data/dashboard.zip",
+                        extract_path=str(astrbot_root),
+                        version=f"v{VERSION}",
+                        latest=False,
                     )
                     click.echo("管理面板安装完成")
 
@@ -50,7 +53,10 @@ async def check_dashboard(astrbot_root: Path) -> None:
                         version = dashboard_version.split("v")[1]
                         click.echo(f"管理面板版本: {version}")
                         await download_dashboard(
-                            path="data/dashboard.zip", extract_path=str(astrbot_root)
+                            path="data/dashboard.zip",
+                            extract_path=str(astrbot_root),
+                            version=f"v{VERSION}",
+                            latest=False,
                         )
                     except Exception as e:
                         click.echo(f"下载管理面板失败: {e}")
@@ -59,7 +65,10 @@ async def check_dashboard(astrbot_root: Path) -> None:
         click.echo("初始化管理面板目录...")
         try:
             await download_dashboard(
-                path=str(astrbot_root / "dashboard.zip"), extract_path=str(astrbot_root)
+                path=str(astrbot_root / "dashboard.zip"),
+                extract_path=str(astrbot_root),
+                version=f"v{VERSION}",
+                latest=False,
             )
             click.echo("管理面板初始化完成")
         except Exception as e:

astrbot/cli/utils/plugin.py

@@ -124,15 +124,17 @@ def build_plug_list(plugins_dir: Path) -> list:
             if metadata and all(
                 k in metadata for k in ["name", "desc", "version", "author", "repo"]
             ):
-                result.append({
-                    "name": str(metadata.get("name", "")),
-                    "desc": str(metadata.get("desc", "")),
-                    "version": str(metadata.get("version", "")),
-                    "author": str(metadata.get("author", "")),
-                    "repo": str(metadata.get("repo", "")),
-                    "status": PluginStatus.INSTALLED,
-                    "local_path": str(plugin_dir),
-                })
+                result.append(
+                    {
+                        "name": str(metadata.get("name", "")),
+                        "desc": str(metadata.get("desc", "")),
+                        "version": str(metadata.get("version", "")),
+                        "author": str(metadata.get("author", "")),
+                        "repo": str(metadata.get("repo", "")),
+                        "status": PluginStatus.INSTALLED,
+                        "local_path": str(plugin_dir),
+                    }
+                )
 
     # 获取在线插件列表
     online_plugins = []
@@ -142,15 +144,17 @@ def build_plug_list(plugins_dir: Path) -> list:
             resp.raise_for_status()
             data = resp.json()
             for plugin_id, plugin_info in data.items():
-                online_plugins.append({
-                    "name": str(plugin_id),
-                    "desc": str(plugin_info.get("desc", "")),
-                    "version": str(plugin_info.get("version", "")),
-                    "author": str(plugin_info.get("author", "")),
-                    "repo": str(plugin_info.get("repo", "")),
-                    "status": PluginStatus.NOT_INSTALLED,
-                    "local_path": None,
-                })
+                online_plugins.append(
+                    {
+                        "name": str(plugin_id),
+                        "desc": str(plugin_info.get("desc", "")),
+                        "version": str(plugin_info.get("version", "")),
+                        "author": str(plugin_info.get("author", "")),
+                        "repo": str(plugin_info.get("repo", "")),
+                        "status": PluginStatus.NOT_INSTALLED,
+                        "local_path": None,
+                    }
+                )
     except Exception as e:
         click.echo(f"获取在线插件列表失败: {e}", err=True)
 

astrbot/core/__init__.py

@@ -1,5 +1,4 @@
 import os
-import asyncio
 from .log import LogManager, LogBroker  # noqa
 from astrbot.core.utils.t2i.renderer import HtmlRenderer
 from astrbot.core.utils.shared_preferences import SharedPreferences
@@ -21,7 +20,7 @@ html_renderer = HtmlRenderer(t2i_base_url)
 logger = LogManager.GetLogger(log_name="astrbot")
 db_helper = SQLiteDatabase(DB_PATH)
 # 简单的偏好设置存储, 这里后续应该存储到数据库中, 一些部分可以存储到配置中
-sp = SharedPreferences()
+sp = SharedPreferences(db_helper=db_helper)
 # 文件令牌服务
 file_token_service = FileTokenService()
 pip_installer = PipInstaller(

astrbot/core/agent/agent.py

@@ -0,0 +1,13 @@
+from dataclasses import dataclass
+from .tool import FunctionTool
+from typing import Generic
+from .run_context import TContext
+from .hooks import BaseAgentRunHooks
+
+
+@dataclass
+class Agent(Generic[TContext]):
+    name: str
+    instructions: str | None = None
+    tools: list[str | FunctionTool] | None = None
+    run_hooks: BaseAgentRunHooks[TContext] | None = None

astrbot/core/agent/handoff.py

@@ -0,0 +1,34 @@
+from typing import Generic
+from .tool import FunctionTool
+from .agent import Agent
+from .run_context import TContext
+
+
+class HandoffTool(FunctionTool, Generic[TContext]):
+    """Handoff tool for delegating tasks to another agent."""
+
+    def __init__(
+        self, agent: Agent[TContext], parameters: dict | None = None, **kwargs
+    ):
+        self.agent = agent
+        super().__init__(
+            name=f"transfer_to_{agent.name}",
+            parameters=parameters or self.default_parameters(),
+            description=agent.instructions or self.default_description(agent.name),
+            **kwargs,
+        )
+
+    def default_parameters(self) -> dict:
+        return {
+            "type": "object",
+            "properties": {
+                "input": {
+                    "type": "string",
+                    "description": "The input to be handed off to another agent. This should be a clear and concise request or task.",
+                },
+            },
+        }
+
+    def default_description(self, agent_name: str | None) -> str:
+        agent_name = agent_name or "another"
+        return f"Delegate tasks to {self.name} agent to handle the request."

astrbot/core/agent/hooks.py

@@ -0,0 +1,27 @@
+import mcp
+from dataclasses import dataclass
+from .run_context import ContextWrapper, TContext
+from typing import Generic
+from astrbot.core.provider.entities import LLMResponse
+from astrbot.core.agent.tool import FunctionTool
+
+
+@dataclass
+class BaseAgentRunHooks(Generic[TContext]):
+    async def on_agent_begin(self, run_context: ContextWrapper[TContext]): ...
+    async def on_tool_start(
+        self,
+        run_context: ContextWrapper[TContext],
+        tool: FunctionTool,
+        tool_args: dict | None,
+    ): ...
+    async def on_tool_end(
+        self,
+        run_context: ContextWrapper[TContext],
+        tool: FunctionTool,
+        tool_args: dict | None,
+        tool_result: mcp.types.CallToolResult | None,
+    ): ...
+    async def on_agent_done(
+        self, run_context: ContextWrapper[TContext], llm_response: LLMResponse
+    ): ...

astrbot/core/agent/mcp_client.py

@@ -0,0 +1,210 @@
+import asyncio
+import logging
+from datetime import timedelta
+from typing import Optional
+from contextlib import AsyncExitStack
+from astrbot import logger
+from astrbot.core.utils.log_pipe import LogPipe
+
+try:
+    import mcp
+    from mcp.client.sse import sse_client
+except (ModuleNotFoundError, ImportError):
+    logger.warning("警告: 缺少依赖库 'mcp'，将无法使用 MCP 服务。")
+
+try:
+    from mcp.client.streamable_http import streamablehttp_client
+except (ModuleNotFoundError, ImportError):
+    logger.warning(
+        "警告: 缺少依赖库 'mcp' 或者 mcp 库版本过低，无法使用 Streamable HTTP 连接方式。"
+    )
+
+
+def _prepare_config(config: dict) -> dict:
+    """准备配置，处理嵌套格式"""
+    if "mcpServers" in config and config["mcpServers"]:
+        first_key = next(iter(config["mcpServers"]))
+        config = config["mcpServers"][first_key]
+    config.pop("active", None)
+    return config
+
+
+async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
+    """快速测试 MCP 服务器可达性"""
+    import aiohttp
+
+    cfg = _prepare_config(config.copy())
+
+    url = cfg["url"]
+    headers = cfg.get("headers", {})
+    timeout = cfg.get("timeout", 10)
+
+    try:
+        async with aiohttp.ClientSession() as session:
+            if cfg.get("transport") == "streamable_http":
+                test_payload = {
+                    "jsonrpc": "2.0",
+                    "method": "initialize",
+                    "id": 0,
+                    "params": {
+                        "protocolVersion": "2024-11-05",
+                        "capabilities": {},
+                        "clientInfo": {"name": "test-client", "version": "1.2.3"},
+                    },
+                }
+                async with session.post(
+                    url,
+                    headers={
+                        **headers,
+                        "Content-Type": "application/json",
+                        "Accept": "application/json, text/event-stream",
+                    },
+                    json=test_payload,
+                    timeout=aiohttp.ClientTimeout(total=timeout),
+                ) as response:
+                    if response.status == 200:
+                        return True, ""
+                    else:
+                        return False, f"HTTP {response.status}: {response.reason}"
+            else:
+                async with session.get(
+                    url,
+                    headers={
+                        **headers,
+                        "Accept": "application/json, text/event-stream",
+                    },
+                    timeout=aiohttp.ClientTimeout(total=timeout),
+                ) as response:
+                    if response.status == 200:
+                        return True, ""
+                    else:
+                        return False, f"HTTP {response.status}: {response.reason}"
+
+    except asyncio.TimeoutError:
+        return False, f"连接超时: {timeout}秒"
+    except Exception as e:
+        return False, f"{e!s}"
+
+
+class MCPClient:
+    def __init__(self):
+        # Initialize session and client objects
+        self.session: Optional[mcp.ClientSession] = None
+        self.exit_stack = AsyncExitStack()
+
+        self.name: str | None = None
+        self.active: bool = True
+        self.tools: list[mcp.Tool] = []
+        self.server_errlogs: list[str] = []
+        self.running_event = asyncio.Event()
+
+    async def connect_to_server(self, mcp_server_config: dict, name: str):
+        """连接到 MCP 服务器
+
+        如果 `url` 参数存在：
+            1. 当 transport 指定为 `streamable_http` 时，使用 Streamable HTTP 连接方式。
+            1. 当 transport 指定为 `sse` 时，使用 SSE 连接方式。
+            2. 如果没有指定，默认使用 SSE 的方式连接到 MCP 服务。
+
+        Args:
+            mcp_server_config (dict): Configuration for the MCP server. See https://modelcontextprotocol.io/quickstart/server
+        """
+        cfg = _prepare_config(mcp_server_config.copy())
+
+        def logging_callback(msg: str):
+            # 处理 MCP 服务的错误日志
+            print(f"MCP Server {name} Error: {msg}")
+            self.server_errlogs.append(msg)
+
+        if "url" in cfg:
+            success, error_msg = await _quick_test_mcp_connection(cfg)
+            if not success:
+                raise Exception(error_msg)
+
+            if cfg.get("transport") != "streamable_http":
+                # SSE transport method
+                self._streams_context = sse_client(
+                    url=cfg["url"],
+                    headers=cfg.get("headers", {}),
+                    timeout=cfg.get("timeout", 5),
+                    sse_read_timeout=cfg.get("sse_read_timeout", 60 * 5),
+                )
+                streams = await self.exit_stack.enter_async_context(
+                    self._streams_context
+                )
+
+                # Create a new client session
+                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 20))
+                self.session = await self.exit_stack.enter_async_context(
+                    mcp.ClientSession(
+                        *streams,
+                        read_timeout_seconds=read_timeout,
+                        logging_callback=logging_callback,  # type: ignore
+                    )
+                )
+            else:
+                timeout = timedelta(seconds=cfg.get("timeout", 30))
+                sse_read_timeout = timedelta(
+                    seconds=cfg.get("sse_read_timeout", 60 * 5)
+                )
+                self._streams_context = streamablehttp_client(
+                    url=cfg["url"],
+                    headers=cfg.get("headers", {}),
+                    timeout=timeout,
+                    sse_read_timeout=sse_read_timeout,
+                    terminate_on_close=cfg.get("terminate_on_close", True),
+                )
+                read_s, write_s, _ = await self.exit_stack.enter_async_context(
+                    self._streams_context
+                )
+
+                # Create a new client session
+                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 20))
+                self.session = await self.exit_stack.enter_async_context(
+                    mcp.ClientSession(
+                        read_stream=read_s,
+                        write_stream=write_s,
+                        read_timeout_seconds=read_timeout,
+                        logging_callback=logging_callback,  # type: ignore
+                    )
+                )
+
+        else:
+            server_params = mcp.StdioServerParameters(
+                **cfg,
+            )
+
+            def callback(msg: str):
+                # 处理 MCP 服务的错误日志
+                self.server_errlogs.append(msg)
+
+            stdio_transport = await self.exit_stack.enter_async_context(
+                mcp.stdio_client(
+                    server_params,
+                    errlog=LogPipe(
+                        level=logging.ERROR,
+                        logger=logger,
+                        identifier=f"MCPServer-{name}",
+                        callback=callback,
+                    ),  # type: ignore
+                ),
+            )
+
+            # Create a new client session
+            self.session = await self.exit_stack.enter_async_context(
+                mcp.ClientSession(*stdio_transport)
+            )
+        await self.session.initialize()
+
+    async def list_tools_and_save(self) -> mcp.ListToolsResult:
+        """List all tools from the server and save them to self.tools"""
+        if not self.session:
+            raise Exception("MCP Client is not initialized")
+        response = await self.session.list_tools()
+        self.tools = response.tools
+        return response
+
+    async def cleanup(self):
+        """Clean up resources"""
+        await self.exit_stack.aclose()
+        self.running_event.set()  # Set the running event to indicate cleanup is done

astrbot/core/agent/response.py

@@ -0,0 +1,13 @@
+from dataclasses import dataclass
+import typing as T
+from astrbot.core.message.message_event_result import MessageChain
+
+
+class AgentResponseData(T.TypedDict):
+    chain: MessageChain
+
+
+@dataclass
+class AgentResponse:
+    type: str
+    data: AgentResponseData

astrbot/core/agent/run_context.py

@@ -0,0 +1,18 @@
+from dataclasses import dataclass
+from typing import Any, Generic
+from typing_extensions import TypeVar
+
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+
+TContext = TypeVar("TContext", default=Any)
+
+
+@dataclass
+class ContextWrapper(Generic[TContext]):
+    """A context for running an agent, which can be used to pass additional data or state."""
+
+    context: TContext
+    event: AstrMessageEvent
+
+
+NoContext = ContextWrapper[None]

astrbot/core/agent/runners/__init__.py

@@ -0,0 +1,3 @@
+from .base import BaseAgentRunner
+
+__all__ = ["BaseAgentRunner"]

astrbot/core/agent/runners/base.py

@@ -1,32 +1,33 @@
 import abc
 import typing as T
-from dataclasses import dataclass
-from astrbot.core.provider.entities import LLMResponse
-from ....message.message_event_result import MessageChain
 from enum import Enum, auto
+from ..run_context import ContextWrapper, TContext
+from ..response import AgentResponse
+from ..hooks import BaseAgentRunHooks
+from ..tool_executor import BaseFunctionToolExecutor
+from astrbot.core.provider import Provider
+from astrbot.core.provider.entities import LLMResponse
 
 
 class AgentState(Enum):
-    """Agent 状态枚举"""
-    IDLE = auto()          # 初始状态
-    RUNNING = auto()       # 运行中
-    DONE = auto()          # 完成
-    ERROR = auto()         # 错误状态
+    """Defines the state of the agent."""
+
+    IDLE = auto()  # Initial state
+    RUNNING = auto()  # Currently processing
+    DONE = auto()  # Completed
+    ERROR = auto()  # Error state
 
 
-class AgentResponseData(T.TypedDict):
-    chain: MessageChain
-
-
-@dataclass
-class AgentResponse:
-    type: str
-    data: AgentResponseData
-
-
-class BaseAgentRunner:
+class BaseAgentRunner(T.Generic[TContext]):
     @abc.abstractmethod
-    async def reset(self) -> None:
+    async def reset(
+        self,
+        provider: Provider,
+        run_context: ContextWrapper[TContext],
+        tool_executor: BaseFunctionToolExecutor[TContext],
+        agent_hooks: BaseAgentRunHooks[TContext],
+        **kwargs: T.Any,
+    ) -> None:
         """
         Reset the agent to its initial state.
         This method should be called before starting a new run.

astrbot/core/agent/runners/tool_loop_agent_runner.py

@@ -1,10 +1,12 @@
 import sys
 import traceback
 import typing as T
-from .base import BaseAgentRunner, AgentResponse, AgentResponseData, AgentState
-from ...context import PipelineContext
+from .base import BaseAgentRunner, AgentResponse, AgentState
+from ..hooks import BaseAgentRunHooks
+from ..tool_executor import BaseFunctionToolExecutor
+from ..run_context import ContextWrapper, TContext
+from ..response import AgentResponseData
 from astrbot.core.provider.provider import Provider
-from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.message.message_event_result import (
     MessageChain,
 )
@@ -21,8 +23,8 @@ from mcp.types import (
     EmbeddedResource,
     TextResourceContents,
     BlobResourceContents,
+    CallToolResult,
 )
-from astrbot.core.star.star_handler import EventType
 from astrbot import logger
 
 if sys.version_info >= (3, 12):
@@ -31,28 +33,25 @@ else:
     from typing_extensions import override
 
 
-# TODO:
-# 1. 处理平台不兼容的处理器
-
-
-class ToolLoopAgent(BaseAgentRunner):
-    def __init__(
-        self, provider: Provider, event: AstrMessageEvent, pipeline_ctx: PipelineContext
-    ) -> None:
-        self.provider = provider
-        self.req = None
-        self.event = event
-        self.pipeline_ctx = pipeline_ctx
-        self._state = AgentState.IDLE
-        self.final_llm_resp = None
-        self.streaming = False
-
+class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
     @override
-    async def reset(self, req: ProviderRequest, streaming: bool) -> None:
-        self.req = req
-        self.streaming = streaming
+    async def reset(
+        self,
+        provider: Provider,
+        request: ProviderRequest,
+        run_context: ContextWrapper[TContext],
+        tool_executor: BaseFunctionToolExecutor[TContext],
+        agent_hooks: BaseAgentRunHooks[TContext],
+        **kwargs: T.Any,
+    ) -> None:
+        self.req = request
+        self.streaming = kwargs.get("streaming", False)
+        self.provider = provider
         self.final_llm_resp = None
         self._state = AgentState.IDLE
+        self.tool_executor = tool_executor
+        self.agent_hooks = agent_hooks
+        self.run_context = run_context
 
     def _transition_state(self, new_state: AgentState) -> None:
         """转换 Agent 状态"""
@@ -78,6 +77,12 @@ class ToolLoopAgent(BaseAgentRunner):
         if not self.req:
             raise ValueError("Request is not set. Please call reset() first.")
 
+        if self._state == AgentState.IDLE:
+            try:
+                await self.agent_hooks.on_agent_begin(self.run_context)
+            except Exception as e:
+                logger.error(f"Error in on_agent_begin hook: {e}", exc_info=True)
+
         # 开始处理，转换到运行状态
         self._transition_state(AgentState.RUNNING)
         llm_resp_result = None
@@ -124,12 +129,10 @@ class ToolLoopAgent(BaseAgentRunner):
             # 如果没有工具调用，转换到完成状态
             self.final_llm_resp = llm_resp
             self._transition_state(AgentState.DONE)
-
-            # 执行事件钩子
-            if await self.pipeline_ctx.call_event_hook(
-                self.event, EventType.OnLLMResponseEvent, llm_resp
-            ):
-                return
+            try:
+                await self.agent_hooks.on_agent_done(self.run_context, llm_resp)
+            except Exception as e:
+                logger.error(f"Error in on_agent_done hook: {e}", exc_info=True)
 
         # 返回 LLM 结果
         if llm_resp.result_chain:
@@ -193,50 +196,33 @@ class ToolLoopAgent(BaseAgentRunner):
                 if not req.func_tool:
                     return
                 func_tool = req.func_tool.get_func(func_tool_name)
-                if func_tool.origin == "mcp":
-                    logger.info(
-                        f"从 MCP 服务 {func_tool.mcp_server_name} 调用工具函数：{func_tool.name}，参数：{func_tool_args}"
+                logger.info(f"使用工具：{func_tool_name}，参数：{func_tool_args}")
+
+                try:
+                    await self.agent_hooks.on_tool_start(
+                        self.run_context, func_tool, func_tool_args
                     )
-                    client = req.func_tool.mcp_client_dict[func_tool.mcp_server_name]
-                    res = await client.session.call_tool(func_tool.name, func_tool_args)
-                    if not res:
-                        continue
-                    if isinstance(res.content[0], TextContent):
-                        tool_call_result_blocks.append(
-                            ToolCallMessageSegment(
-                                role="tool",
-                                tool_call_id=func_tool_id,
-                                content=res.content[0].text,
-                            )
-                        )
-                        yield MessageChain().message(res.content[0].text)
-                    elif isinstance(res.content[0], ImageContent):
-                        tool_call_result_blocks.append(
-                            ToolCallMessageSegment(
-                                role="tool",
-                                tool_call_id=func_tool_id,
-                                content="返回了图片(已直接发送给用户)",
-                            )
-                        )
-                        yield MessageChain(type="tool_direct_result").base64_image(
-                            res.content[0].data
-                        )
-                    elif isinstance(res.content[0], EmbeddedResource):
-                        resource = res.content[0].resource
-                        if isinstance(resource, TextResourceContents):
+                except Exception as e:
+                    logger.error(f"Error in on_tool_start hook: {e}", exc_info=True)
+
+                executor = self.tool_executor.execute(
+                    tool=func_tool,
+                    run_context=self.run_context,
+                    **func_tool_args,
+                )
+                async for resp in executor:
+                    if isinstance(resp, CallToolResult):
+                        res = resp
+                        if isinstance(res.content[0], TextContent):
                             tool_call_result_blocks.append(
                                 ToolCallMessageSegment(
                                     role="tool",
                                     tool_call_id=func_tool_id,
-                                    content=resource.text,
+                                    content=res.content[0].text,
                                 )
                             )
-                            yield MessageChain().message(resource.text)
-                        elif (
-                            isinstance(resource, BlobResourceContents)
-                            and resource.mimeType
-                            and resource.mimeType.startswith("image/")
-                        ):
+                            yield MessageChain().message(res.content[0].text)
+                        elif isinstance(res.content[0], ImageContent):
                             tool_call_result_blocks.append(
                                 ToolCallMessageSegment(
                                     role="tool",
@@ -247,43 +233,64 @@ class ToolLoopAgent(BaseAgentRunner):
                             yield MessageChain(type="tool_direct_result").base64_image(
                                 res.content[0].data
                             )
-                        else:
-                            tool_call_result_blocks.append(
-                                ToolCallMessageSegment(
-                                    role="tool",
-                                    tool_call_id=func_tool_id,
-                                    content="返回的数据类型不受支持",
-                                )
-                            )
-                            yield MessageChain().message("返回的数据类型不受支持。")
-                else:
-                    logger.info(f"使用工具：{func_tool_name}，参数：{func_tool_args}")
-                    # 尝试调用工具函数
-                    wrapper = self.pipeline_ctx.call_handler(
-                        self.event, func_tool.handler, **func_tool_args
-                    )
-                    async for resp in wrapper:
-                        if resp is not None:
-                            # Tool 返回结果
-                            tool_call_result_blocks.append(
-                                ToolCallMessageSegment(
-                                    role="tool",
-                                    tool_call_id=func_tool_id,
-                                    content=resp,
-                                )
-                            )
-                            yield MessageChain().message(resp)
-                        else:
-                            # Tool 直接请求发送消息给用户
-                            # 这里我们将直接结束 Agent Loop。
-                            self._transition_state(AgentState.DONE)
-                            if res := self.event.get_result():
-                                if res.chain:
-                                    yield MessageChain(
-                                        chain=res.chain, type="tool_direct_result"
+                        elif isinstance(res.content[0], EmbeddedResource):
+                            resource = res.content[0].resource
+                            if isinstance(resource, TextResourceContents):
+                                tool_call_result_blocks.append(
+                                    ToolCallMessageSegment(
+                                        role="tool",
+                                        tool_call_id=func_tool_id,
+                                        content=resource.text,
                                     )
+                                )
+                                yield MessageChain().message(resource.text)
+                            elif (
+                                isinstance(resource, BlobResourceContents)
+                                and resource.mimeType
+                                and resource.mimeType.startswith("image/")
+                            ):
+                                tool_call_result_blocks.append(
+                                    ToolCallMessageSegment(
+                                        role="tool",
+                                        tool_call_id=func_tool_id,
+                                        content="返回了图片(已直接发送给用户)",
+                                    )
+                                )
+                                yield MessageChain(
+                                    type="tool_direct_result"
+                                ).base64_image(resource.blob)
+                            else:
+                                tool_call_result_blocks.append(
+                                    ToolCallMessageSegment(
+                                        role="tool",
+                                        tool_call_id=func_tool_id,
+                                        content="返回的数据类型不受支持",
+                                    )
+                                )
+                                yield MessageChain().message("返回的数据类型不受支持。")
 
-                self.event.clear_result()
+                    elif resp is None:
+                        # Tool 直接请求发送消息给用户
+                        # 这里我们将直接结束 Agent Loop。
+                        self._transition_state(AgentState.DONE)
+                        if res := self.run_context.event.get_result():
+                            if res.chain:
+                                yield MessageChain(
+                                    chain=res.chain, type="tool_direct_result"
+                                )
+                    else:
+                        logger.warning(
+                            f"Tool 返回了不支持的类型: {type(resp)}，将忽略。"
+                        )
+
+                try:
+                    await self.agent_hooks.on_tool_end(
+                        self.run_context, func_tool, func_tool_args, None
+                    )
+                except Exception as e:
+                    logger.error(f"Error in on_tool_end hook: {e}", exc_info=True)
+
+                self.run_context.event.clear_result()
             except Exception as e:
                 logger.warning(traceback.format_exc())
                 tool_call_result_blocks.append(

astrbot/core/agent/tool.py

@@ -0,0 +1,267 @@
+from dataclasses import dataclass
+from deprecated import deprecated
+from typing import Awaitable, Callable, Literal, Any, Optional
+from .mcp_client import MCPClient
+
+
+@dataclass
+class FunctionTool:
+    """A class representing a function tool that can be used in function calling."""
+
+    name: str
+    parameters: dict | None = None
+    description: str | None = None
+    handler: Callable[..., Awaitable[Any]] | None = None
+    """处理函数, 当 origin 为 mcp 时，这个为空"""
+    handler_module_path: str | None = None
+    """处理函数的模块路径，当 origin 为 mcp 时，这个为空
+
+    必须要保留这个字段, handler 在初始化会被 functools.partial 包装，导致 handler 的 __module__ 为 functools
+    """
+    active: bool = True
+    """是否激活"""
+
+    origin: Literal["local", "mcp"] = "local"
+    """函数工具的来源, local 为本地函数工具, mcp 为 MCP 服务"""
+
+    # MCP 相关字段
+    mcp_server_name: str | None = None
+    """MCP 服务名称，当 origin 为 mcp 时有效"""
+    mcp_client: MCPClient | None = None
+    """MCP 客户端，当 origin 为 mcp 时有效"""
+
+    def __repr__(self):
+        return f"FuncTool(name={self.name}, parameters={self.parameters}, description={self.description}, active={self.active}, origin={self.origin})"
+
+    def __dict__(self) -> dict[str, Any]:
+        """将 FunctionTool 转换为字典格式"""
+        return {
+            "name": self.name,
+            "parameters": self.parameters,
+            "description": self.description,
+            "active": self.active,
+            "origin": self.origin,
+            "mcp_server_name": self.mcp_server_name,
+        }
+
+
+class ToolSet:
+    """A set of function tools that can be used in function calling.
+
+    This class provides methods to add, remove, and retrieve tools, as well as
+    convert the tools to different API formats (OpenAI, Anthropic, Google GenAI)."""
+
+    def __init__(self, tools: list[FunctionTool] | None = None):
+        self.tools: list[FunctionTool] = tools or []
+
+    def empty(self) -> bool:
+        """Check if the tool set is empty."""
+        return len(self.tools) == 0
+
+    def add_tool(self, tool: FunctionTool):
+        """Add a tool to the set."""
+        # 检查是否已存在同名工具
+        for i, existing_tool in enumerate(self.tools):
+            if existing_tool.name == tool.name:
+                self.tools[i] = tool
+                return
+        self.tools.append(tool)
+
+    def remove_tool(self, name: str):
+        """Remove a tool by its name."""
+        self.tools = [tool for tool in self.tools if tool.name != name]
+
+    def get_tool(self, name: str) -> Optional[FunctionTool]:
+        """Get a tool by its name."""
+        for tool in self.tools:
+            if tool.name == name:
+                return tool
+        return None
+
+    @deprecated(reason="Use add_tool() instead", version="4.0.0")
+    def add_func(
+        self,
+        name: str,
+        func_args: list,
+        desc: str,
+        handler: Callable[..., Awaitable[Any]],
+    ):
+        """Add a function tool to the set."""
+        params = {
+            "type": "object",  # hard-coded here
+            "properties": {},
+        }
+        for param in func_args:
+            params["properties"][param["name"]] = {
+                "type": param["type"],
+                "description": param["description"],
+            }
+        _func = FunctionTool(
+            name=name,
+            parameters=params,
+            description=desc,
+            handler=handler,
+        )
+        self.add_tool(_func)
+
+    @deprecated(reason="Use remove_tool() instead", version="4.0.0")
+    def remove_func(self, name: str):
+        """Remove a function tool by its name."""
+        self.remove_tool(name)
+
+    @deprecated(reason="Use get_tool() instead", version="4.0.0")
+    def get_func(self, name: str) -> FunctionTool | None:
+        """Get all function tools."""
+        return self.get_tool(name)
+
+    @property
+    def func_list(self) -> list[FunctionTool]:
+        """Get the list of function tools."""
+        return self.tools
+
+    def openai_schema(self, omit_empty_parameter_field: bool = False) -> list[dict]:
+        """Convert tools to OpenAI API function calling schema format."""
+        result = []
+        for tool in self.tools:
+            func_def = {
+                "type": "function",
+                "function": {
+                    "name": tool.name,
+                    "description": tool.description,
+                },
+            }
+
+            if (
+                tool.parameters
+                and tool.parameters.get("properties")
+                or not omit_empty_parameter_field
+            ):
+                func_def["function"]["parameters"] = tool.parameters
+
+            result.append(func_def)
+        return result
+
+    def anthropic_schema(self) -> list[dict]:
+        """Convert tools to Anthropic API format."""
+        result = []
+        for tool in self.tools:
+            input_schema = {"type": "object"}
+            if tool.parameters:
+                input_schema["properties"] = tool.parameters.get("properties", {})
+                input_schema["required"] = tool.parameters.get("required", [])
+            tool_def = {
+                "name": tool.name,
+                "description": tool.description,
+                "input_schema": input_schema,
+            }
+            result.append(tool_def)
+        return result
+
+    def google_schema(self) -> dict:
+        """Convert tools to Google GenAI API format."""
+
+        def convert_schema(schema: dict) -> dict:
+            """Convert schema to Gemini API format."""
+            supported_types = {
+                "string",
+                "number",
+                "integer",
+                "boolean",
+                "array",
+                "object",
+                "null",
+            }
+            supported_formats = {
+                "string": {"enum", "date-time"},
+                "integer": {"int32", "int64"},
+                "number": {"float", "double"},
+            }
+
+            if "anyOf" in schema:
+                return {"anyOf": [convert_schema(s) for s in schema["anyOf"]]}
+
+            result = {}
+
+            if "type" in schema and schema["type"] in supported_types:
+                result["type"] = schema["type"]
+                if "format" in schema and schema["format"] in supported_formats.get(
+                    result["type"], set()
+                ):
+                    result["format"] = schema["format"]
+            else:
+                result["type"] = "null"
+
+            support_fields = {
+                "title",
+                "description",
+                "enum",
+                "minimum",
+                "maximum",
+                "maxItems",
+                "minItems",
+                "nullable",
+                "required",
+            }
+            result.update({k: schema[k] for k in support_fields if k in schema})
+
+            if "properties" in schema:
+                properties = {}
+                for key, value in schema["properties"].items():
+                    prop_value = convert_schema(value)
+                    if "default" in prop_value:
+                        del prop_value["default"]
+                    properties[key] = prop_value
+
+                if properties:
+                    result["properties"] = properties
+
+            if "items" in schema:
+                result["items"] = convert_schema(schema["items"])
+
+            return result
+
+        tools = []
+        for tool in self.tools:
+            d = {
+                "name": tool.name,
+                "description": tool.description,
+            }
+            if tool.parameters:
+                d["parameters"] = convert_schema(tool.parameters)
+            tools.append(d)
+
+        declarations = {}
+        if tools:
+            declarations["function_declarations"] = tools
+        return declarations
+
+    @deprecated(reason="Use openai_schema() instead", version="4.0.0")
+    def get_func_desc_openai_style(self, omit_empty_parameter_field: bool = False):
+        return self.openai_schema(omit_empty_parameter_field)
+
+    @deprecated(reason="Use anthropic_schema() instead", version="4.0.0")
+    def get_func_desc_anthropic_style(self):
+        return self.anthropic_schema()
+
+    @deprecated(reason="Use google_schema() instead", version="4.0.0")
+    def get_func_desc_google_genai_style(self):
+        return self.google_schema()
+
+    def names(self) -> list[str]:
+        """获取所有工具的名称列表"""
+        return [tool.name for tool in self.tools]
+
+    def __len__(self):
+        return len(self.tools)
+
+    def __bool__(self):
+        return len(self.tools) > 0
+
+    def __iter__(self):
+        return iter(self.tools)
+
+    def __repr__(self):
+        return f"ToolSet(tools={self.tools})"
+
+    def __str__(self):
+        return f"ToolSet(tools={self.tools})"

astrbot/core/agent/tool_executor.py

@@ -0,0 +1,11 @@
+import mcp
+from typing import Any, Generic, AsyncGenerator
+from .run_context import TContext, ContextWrapper
+from .tool import FunctionTool
+
+
+class BaseFunctionToolExecutor(Generic[TContext]):
+    @classmethod
+    async def execute(
+        cls, tool: FunctionTool, run_context: ContextWrapper[TContext], **tool_args
+    ) -> AsyncGenerator[Any | mcp.types.CallToolResult, None]: ...

astrbot/core/astr_agent_context.py

@@ -0,0 +1,11 @@
+from dataclasses import dataclass
+from astrbot.core.provider import Provider
+from astrbot.core.provider.entities import ProviderRequest
+
+
+@dataclass
+class AstrAgentContext:
+    provider: Provider
+    first_provider_request: ProviderRequest
+    curr_provider_request: ProviderRequest
+    streaming: bool

astrbot/core/astrbot_config_mgr.py

@@ -0,0 +1,283 @@
+import os
+import uuid
+from astrbot.core import AstrBotConfig, logger
+from astrbot.core.utils.shared_preferences import SharedPreferences
+from astrbot.core.config.astrbot_config import ASTRBOT_CONFIG_PATH
+from astrbot.core.config.default import DEFAULT_CONFIG
+from astrbot.core.platform.message_session import MessageSession
+from astrbot.core.utils.astrbot_path import get_astrbot_config_path
+from typing import TypeVar, TypedDict
+
+_VT = TypeVar("_VT")
+
+
+class ConfInfo(TypedDict):
+    """Configuration information for a specific session or platform."""
+
+    id: str  # UUID of the configuration or "default"
+    umop: list[str]  # Unified Message Origin Pattern
+    name: str
+    path: str  # File name to the configuration file
+
+
+DEFAULT_CONFIG_CONF_INFO = ConfInfo(
+    id="default",
+    umop=["::"],
+    name="default",
+    path=ASTRBOT_CONFIG_PATH,
+)
+
+
+class AstrBotConfigManager:
+    """A class to manage the system configuration of AstrBot, aka ACM"""
+
+    def __init__(self, default_config: AstrBotConfig, sp: SharedPreferences):
+        self.sp = sp
+        self.confs: dict[str, AstrBotConfig] = {}
+        """uuid / "default" -> AstrBotConfig"""
+        self.confs["default"] = default_config
+        self.abconf_data = None
+        self._load_all_configs()
+
+    def _get_abconf_data(self) -> dict:
+        """获取所有的 abconf 数据"""
+        if self.abconf_data is None:
+            self.abconf_data = self.sp.get(
+                "abconf_mapping", {}, scope="global", scope_id="global"
+            )
+        return self.abconf_data
+
+    def _load_all_configs(self):
+        """Load all configurations from the shared preferences."""
+        abconf_data = self._get_abconf_data()
+        self.abconf_data = abconf_data
+        for uuid_, meta in abconf_data.items():
+            filename = meta["path"]
+            conf_path = os.path.join(get_astrbot_config_path(), filename)
+            if os.path.exists(conf_path):
+                conf = AstrBotConfig(config_path=conf_path)
+                self.confs[uuid_] = conf
+            else:
+                logger.warning(
+                    f"Config file {conf_path} for UUID {uuid_} does not exist, skipping."
+                )
+                continue
+
+    def _is_umo_match(self, p1: str, p2: str) -> bool:
+        """判断 p2 umo 是否逻辑包含于 p1 umo"""
+        p1_ls = p1.split(":")
+        p2_ls = p2.split(":")
+
+        if len(p1_ls) != 3 or len(p2_ls) != 3:
+            return False  # 非法格式
+
+        return all(p == "" or p == "*" or p == t for p, t in zip(p1_ls, p2_ls))
+
+    def _load_conf_mapping(self, umo: str | MessageSession) -> ConfInfo:
+        """获取指定 umo 的配置文件 uuid, 如果不存在则返回默认配置(返回 "default")
+
+        Returns:
+            ConfInfo: 包含配置文件的 uuid, 路径和名称等信息, 是一个 dict 类型
+        """
+        # uuid -> { "umop": list, "path": str, "name": str }
+        abconf_data = self._get_abconf_data()
+        if isinstance(umo, MessageSession):
+            umo = str(umo)
+        else:
+            try:
+                umo = str(MessageSession.from_str(umo))  # validate
+            except Exception:
+                return DEFAULT_CONFIG_CONF_INFO
+
+        for uuid_, meta in abconf_data.items():
+            for pattern in meta["umop"]:
+                if self._is_umo_match(pattern, umo):
+                    return ConfInfo(**meta, id=uuid_)
+
+        return DEFAULT_CONFIG_CONF_INFO
+
+    def _save_conf_mapping(
+        self,
+        abconf_path: str,
+        abconf_id: str,
+        umo_parts: list[str] | list[MessageSession],
+        abconf_name: str | None = None,
+    ) -> None:
+        """保存配置文件的映射关系"""
+        for part in umo_parts:
+            if isinstance(part, MessageSession):
+                part = str(part)
+            elif not isinstance(part, str):
+                raise ValueError(
+                    "umo_parts must be a list of strings or MessageSession instances"
+                )
+        abconf_data = self.sp.get(
+            "abconf_mapping", {}, scope="global", scope_id="global"
+        )
+        random_word = abconf_name or uuid.uuid4().hex[:8]
+        abconf_data[abconf_id] = {
+            "umop": umo_parts,
+            "path": abconf_path,
+            "name": random_word,
+        }
+        self.sp.put("abconf_mapping", abconf_data, scope="global", scope_id="global")
+        self.abconf_data = abconf_data
+
+    def get_conf(self, umo: str | MessageSession | None) -> AstrBotConfig:
+        """获取指定 umo 的配置文件。如果不存在，则 fallback 到默认配置文件。"""
+        if not umo:
+            return self.confs["default"]
+        if isinstance(umo, MessageSession):
+            umo = f"{umo.platform_id}:{umo.message_type}:{umo.session_id}"
+
+        uuid_ = self._load_conf_mapping(umo)["id"]
+
+        conf = self.confs.get(uuid_)
+        if not conf:
+            conf = self.confs["default"]  # default MUST exists
+
+        return conf
+
+    @property
+    def default_conf(self) -> AstrBotConfig:
+        """获取默认配置文件"""
+        return self.confs["default"]
+
+    def get_conf_info(self, umo: str | MessageSession) -> ConfInfo:
+        """获取指定 umo 的配置文件元数据"""
+        if isinstance(umo, MessageSession):
+            umo = f"{umo.platform_id}:{umo.message_type}:{umo.session_id}"
+
+        return self._load_conf_mapping(umo)
+
+    def get_conf_list(self) -> list[ConfInfo]:
+        """获取所有配置文件的元数据列表"""
+        conf_list = []
+        conf_list.append(DEFAULT_CONFIG_CONF_INFO)
+        abconf_mapping = self._get_abconf_data()
+        for uuid_, meta in abconf_mapping.items():
+            conf_list.append(ConfInfo(**meta, id=uuid_))
+        return conf_list
+
+    def create_conf(
+        self,
+        umo_parts: list[str] | list[MessageSession],
+        config: dict = DEFAULT_CONFIG,
+        name: str | None = None,
+    ) -> str:
+        """
+        umo 由三个部分组成 [platform_id]:[message_type]:[session_id]。
+
+        umo_parts 可以是 "::" (代表所有), 可以是 "[platform_id]::" (代表指定平台下的所有类型消息和会话)。
+        """
+        conf_uuid = str(uuid.uuid4())
+        conf_file_name = f"abconf_{conf_uuid}.json"
+        conf_path = os.path.join(get_astrbot_config_path(), conf_file_name)
+        conf = AstrBotConfig(config_path=conf_path, default_config=config)
+        conf.save_config()
+        self._save_conf_mapping(conf_file_name, conf_uuid, umo_parts, abconf_name=name)
+        self.confs[conf_uuid] = conf
+        return conf_uuid
+
+    def delete_conf(self, conf_id: str) -> bool:
+        """删除指定配置文件
+
+        Args:
+            conf_id: 配置文件的 UUID
+
+        Returns:
+            bool: 删除是否成功
+
+        Raises:
+            ValueError: 如果试图删除默认配置文件
+        """
+        if conf_id == "default":
+            raise ValueError("不能删除默认配置文件")
+
+        # 从映射中移除
+        abconf_data = self.sp.get(
+            "abconf_mapping", {}, scope="global", scope_id="global"
+        )
+        if conf_id not in abconf_data:
+            logger.warning(f"配置文件 {conf_id} 不存在于映射中")
+            return False
+
+        # 获取配置文件路径
+        conf_path = os.path.join(
+            get_astrbot_config_path(), abconf_data[conf_id]["path"]
+        )
+
+        # 删除配置文件
+        try:
+            if os.path.exists(conf_path):
+                os.remove(conf_path)
+                logger.info(f"已删除配置文件: {conf_path}")
+        except Exception as e:
+            logger.error(f"删除配置文件 {conf_path} 失败: {e}")
+            return False
+
+        # 从内存中移除
+        if conf_id in self.confs:
+            del self.confs[conf_id]
+
+        # 从映射中移除
+        del abconf_data[conf_id]
+        self.sp.put("abconf_mapping", abconf_data, scope="global", scope_id="global")
+        self.abconf_data = abconf_data
+
+        logger.info(f"成功删除配置文件 {conf_id}")
+        return True
+
+    def update_conf_info(
+        self, conf_id: str, name: str | None = None, umo_parts: list[str] | None = None
+    ) -> bool:
+        """更新配置文件信息
+
+        Args:
+            conf_id: 配置文件的 UUID
+            name: 新的配置文件名称 (可选)
+            umo_parts: 新的 UMO 部分列表 (可选)
+
+        Returns:
+            bool: 更新是否成功
+        """
+        if conf_id == "default":
+            raise ValueError("不能更新默认配置文件的信息")
+
+        abconf_data = self.sp.get(
+            "abconf_mapping", {}, scope="global", scope_id="global"
+        )
+        if conf_id not in abconf_data:
+            logger.warning(f"配置文件 {conf_id} 不存在于映射中")
+            return False
+
+        # 更新名称
+        if name is not None:
+            abconf_data[conf_id]["name"] = name
+
+        # 更新 UMO 部分
+        if umo_parts is not None:
+            # 验证 UMO 部分格式
+            for part in umo_parts:
+                if isinstance(part, MessageSession):
+                    part = str(part)
+                elif not isinstance(part, str):
+                    raise ValueError(
+                        "umo_parts must be a list of strings or MessageSession instances"
+                    )
+            abconf_data[conf_id]["umop"] = umo_parts
+
+        # 保存更新
+        self.sp.put("abconf_mapping", abconf_data, scope="global", scope_id="global")
+        self.abconf_data = abconf_data
+        logger.info(f"成功更新配置文件 {conf_id} 的信息")
+        return True
+
+    def g(
+        self, umo: str | None = None, key: str | None = None, default: _VT = None
+    ) -> _VT:
+        """获取配置项。umo 为 None 时使用默认配置"""
+        if umo is None:
+            return self.confs["default"].get(key, default)
+        conf = self.get_conf(umo)
+        return conf.get(key, default)

astrbot/core/conversation_mgr.py

@@ -5,40 +5,44 @@ AstrBot 会话-对话管理器, 维护两个本地存储, 其中一个是 json
 在一个会话中可以建立多个对话, 并且支持对话的切换和删除
 """
 
-import uuid
 import json
-import asyncio
 from astrbot.core import sp
 from typing import Dict, List
 from astrbot.core.db import BaseDatabase
-from astrbot.core.db.po import Conversation
+from astrbot.core.db.po import Conversation, ConversationV2
 
 
 class ConversationManager:
     """负责管理会话与 LLM 的对话，某个会话当前正在用哪个对话。"""
 
     def __init__(self, db_helper: BaseDatabase):
-        # session_conversations 字典记录会话ID-对话ID 映射关系
-        self.session_conversations: Dict[str, str] = sp.get("session_conversation", {})
+        self.session_conversations: Dict[str, str] = {}
         self.db = db_helper
         self.save_interval = 60  # 每 60 秒保存一次
-        self._start_periodic_save()
 
-    def _start_periodic_save(self):
-        """启动定时保存任务"""
-        asyncio.create_task(self._periodic_save())
+    def _convert_conv_from_v2_to_v1(self, conv_v2: ConversationV2) -> Conversation:
+        """将 ConversationV2 对象转换为 Conversation 对象"""
+        created_at = int(conv_v2.created_at.timestamp())
+        updated_at = int(conv_v2.updated_at.timestamp())
+        return Conversation(
+            platform_id=conv_v2.platform_id,
+            user_id=conv_v2.user_id,
+            cid=conv_v2.conversation_id,
+            history=json.dumps(conv_v2.content or []),
+            title=conv_v2.title,
+            persona_id=conv_v2.persona_id,
+            created_at=created_at,
+            updated_at=updated_at,
+        )
 
-    async def _periodic_save(self):
-        """定时保存会话对话映射关系到存储中"""
-        while True:
-            await asyncio.sleep(self.save_interval)
-            self._save_to_storage()
-
-    def _save_to_storage(self):
-        """保存会话对话映射关系到存储中"""
-        sp.put("session_conversation", self.session_conversations)
-
-    async def new_conversation(self, unified_msg_origin: str) -> str:
+    async def new_conversation(
+        self,
+        unified_msg_origin: str,
+        platform_id: str | None = None,
+        content: list[dict] | None = None,
+        title: str | None = None,
+        persona_id: str | None = None,
+    ) -> str:
         """新建对话，并将当前会话的对话转移到新对话
 
         Args:
@@ -46,11 +50,23 @@ class ConversationManager:
         Returns:
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
         """
-        conversation_id = str(uuid.uuid4())
-        self.db.new_conversation(user_id=unified_msg_origin, cid=conversation_id)
-        self.session_conversations[unified_msg_origin] = conversation_id
-        sp.put("session_conversation", self.session_conversations)
-        return conversation_id
+        if not platform_id:
+            # 如果没有提供 platform_id，则从 unified_msg_origin 中解析
+            parts = unified_msg_origin.split(":")
+            if len(parts) >= 3:
+                platform_id = parts[0]
+        if not platform_id:
+            platform_id = "unknown"
+        conv = await self.db.create_conversation(
+            user_id=unified_msg_origin,
+            platform_id=platform_id,
+            content=content,
+            title=title,
+            persona_id=persona_id,
+        )
+        self.session_conversations[unified_msg_origin] = conv.conversation_id
+        await sp.session_put(unified_msg_origin, "sel_conv_id", conv.conversation_id)
+        return conv.conversation_id
 
     async def switch_conversation(self, unified_msg_origin: str, conversation_id: str):
         """切换会话的对话
@@ -60,10 +76,10 @@ class ConversationManager:
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
         """
         self.session_conversations[unified_msg_origin] = conversation_id
-        sp.put("session_conversation", self.session_conversations)
+        await sp.session_put(unified_msg_origin, "sel_conv_id", conversation_id)
 
     async def delete_conversation(
-        self, unified_msg_origin: str, conversation_id: str = None
+        self, unified_msg_origin: str, conversation_id: str | None = None
     ):
         """删除会话的对话，当 conversation_id 为 None 时删除会话当前的对话
 
@@ -71,13 +87,26 @@ class ConversationManager:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
         """
-        conversation_id = self.session_conversations.get(unified_msg_origin)
+        if not conversation_id:
+            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)
+            await self.db.delete_conversation(cid=conversation_id)
+            curr_cid = await self.get_curr_conversation_id(unified_msg_origin)
+            if curr_cid == conversation_id:
+                self.session_conversations.pop(unified_msg_origin, None)
+                await sp.session_remove(unified_msg_origin, "sel_conv_id")
 
-    async def get_curr_conversation_id(self, unified_msg_origin: str) -> str:
+    async def delete_conversations_by_user_id(self, unified_msg_origin: str):
+        """删除会话的所有对话
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+        """
+        await self.db.delete_conversations_by_user_id(user_id=unified_msg_origin)
+        self.session_conversations.pop(unified_msg_origin, None)
+        await sp.session_remove(unified_msg_origin, "sel_conv_id")
+
+    async def get_curr_conversation_id(self, unified_msg_origin: str) -> str | None:
         """获取会话当前的对话 ID
 
         Args:
@@ -85,14 +114,19 @@ class ConversationManager:
         Returns:
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
         """
-        return self.session_conversations.get(unified_msg_origin, None)
+        ret = self.session_conversations.get(unified_msg_origin, None)
+        if not ret:
+            ret = await sp.session_get(unified_msg_origin, "sel_conv_id", None)
+            if ret:
+                self.session_conversations[unified_msg_origin] = ret
+        return ret
 
     async def get_conversation(
         self,
         unified_msg_origin: str,
         conversation_id: str,
         create_if_not_exists: bool = False,
-    ) -> Conversation:
+    ) -> Conversation | None:
         """获取会话的对话
 
         Args:
@@ -101,27 +135,74 @@ class ConversationManager:
         Returns:
             conversation (Conversation): 对话对象
         """
-        conv = self.db.get_conversation_by_user_id(unified_msg_origin, conversation_id)
+        conv = await self.db.get_conversation_by_id(cid=conversation_id)
         if not conv and create_if_not_exists:
             # 如果对话不存在且需要创建，则新建一个对话
             conversation_id = await self.new_conversation(unified_msg_origin)
-            return self.db.get_conversation_by_user_id(
-                unified_msg_origin, conversation_id
-            )
-        return self.db.get_conversation_by_user_id(unified_msg_origin, conversation_id)
+            conv = await self.db.get_conversation_by_id(cid=conversation_id)
+        conv_res = None
+        if conv:
+            conv_res = self._convert_conv_from_v2_to_v1(conv)
+        return conv_res
 
-    async def get_conversations(self, unified_msg_origin: str) -> List[Conversation]:
-        """获取会话的所有对话
+    async def get_conversations(
+        self, unified_msg_origin: str | None = None, platform_id: str | None = None
+    ) -> List[Conversation]:
+        """获取对话列表
 
         Args:
-            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id，可选
+            platform_id (str): 平台 ID, 可选参数, 用于过滤对话
         Returns:
             conversations (List[Conversation]): 对话对象列表
         """
-        return self.db.get_conversations(unified_msg_origin)
+        convs = await self.db.get_conversations(
+            user_id=unified_msg_origin, platform_id=platform_id
+        )
+        convs_res = []
+        for conv in convs:
+            conv_res = self._convert_conv_from_v2_to_v1(conv)
+            convs_res.append(conv_res)
+        return convs_res
+
+    async def get_filtered_conversations(
+        self,
+        page: int = 1,
+        page_size: int = 20,
+        platform_ids: list[str] | None = None,
+        search_query: str = "",
+        **kwargs,
+    ) -> tuple[list[Conversation], int]:
+        """获取过滤后的对话列表
+
+        Args:
+            page (int): 页码, 默认为 1
+            page_size (int): 每页大小, 默认为 20
+            platform_ids (list[str]): 平台 ID 列表, 可选
+            search_query (str): 搜索查询字符串, 可选
+        Returns:
+            conversations (list[Conversation]): 对话对象列表
+        """
+        convs, cnt = await self.db.get_filtered_conversations(
+            page=page,
+            page_size=page_size,
+            platform_ids=platform_ids,
+            search_query=search_query,
+            **kwargs,
+        )
+        convs_res = []
+        for conv in convs:
+            conv_res = self._convert_conv_from_v2_to_v1(conv)
+            convs_res.append(conv_res)
+        return convs_res, cnt
 
     async def update_conversation(
-        self, unified_msg_origin: str, conversation_id: str, history: List[Dict]
+        self,
+        unified_msg_origin: str,
+        conversation_id: str | None = None,
+        history: list[dict] | None = None,
+        title: str | None = None,
+        persona_id: str | None = None,
     ):
         """更新会话的对话
 
@@ -130,40 +211,55 @@ class ConversationManager:
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
             history (List[Dict]): 对话历史记录, 是一个字典列表, 每个字典包含 role 和 content 字段
         """
+        if not conversation_id:
+            # 如果没有提供 conversation_id，则获取当前的
+            conversation_id = await self.get_curr_conversation_id(unified_msg_origin)
         if conversation_id:
-            self.db.update_conversation(
-                user_id=unified_msg_origin,
+            await self.db.update_conversation(
                 cid=conversation_id,
-                history=json.dumps(history),
+                title=title,
+                persona_id=persona_id,
+                content=history,
             )
 
-    async def update_conversation_title(self, unified_msg_origin: str, title: str):
+    async def update_conversation_title(
+        self, unified_msg_origin: str, title: str, conversation_id: str | None = None
+    ):
         """更新会话的对话标题
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             title (str): 对话标题
+
+        Deprecated:
+            Use `update_conversation` with `title` parameter instead.
         """
-        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
-            )
+        await self.update_conversation(
+            unified_msg_origin=unified_msg_origin,
+            conversation_id=conversation_id,
+            title=title,
+        )
 
     async def update_conversation_persona_id(
-        self, unified_msg_origin: str, persona_id: str
+        self,
+        unified_msg_origin: str,
+        persona_id: str,
+        conversation_id: str | None = None,
     ):
         """更新会话的对话 Persona ID
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             persona_id (str): 对话 Persona ID
+
+        Deprecated:
+            Use `update_conversation` with `persona_id` parameter instead.
         """
-        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
-            )
+        await self.update_conversation(
+            unified_msg_origin=unified_msg_origin,
+            conversation_id=conversation_id,
+            persona_id=persona_id,
+        )
 
     async def get_human_readable_context(
         self, unified_msg_origin, conversation_id, page=1, page_size=10

astrbot/core/core_lifecycle.py

@@ -15,20 +15,23 @@ import time
 import threading
 import os
 from .event_bus import EventBus
-from . import astrbot_config
+from . import astrbot_config, html_renderer
 from asyncio import Queue
 from typing import List
 from astrbot.core.pipeline.scheduler import PipelineScheduler, PipelineContext
 from astrbot.core.star import PluginManager
 from astrbot.core.platform.manager import PlatformManager
 from astrbot.core.star.context import Context
+from astrbot.core.persona_mgr import PersonaManager
 from astrbot.core.provider.manager import ProviderManager
 from astrbot.core import LogBroker
 from astrbot.core.db import BaseDatabase
 from astrbot.core.updator import AstrBotUpdator
-from astrbot.core import logger
+from astrbot.core import logger, sp
 from astrbot.core.config.default import VERSION
 from astrbot.core.conversation_mgr import ConversationManager
+from astrbot.core.platform_message_history_mgr import PlatformMessageHistoryManager
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 from astrbot.core.star.star_handler import star_handlers_registry, EventType
 from astrbot.core.star.star_handler import star_map
 
@@ -47,12 +50,23 @@ class AstrBotCoreLifecycle:
         self.db = db  # 初始化数据库
 
         # 设置代理
-        if self.astrbot_config.get("http_proxy", ""):
-            os.environ["https_proxy"] = self.astrbot_config["http_proxy"]
-            os.environ["http_proxy"] = self.astrbot_config["http_proxy"]
-        if proxy := os.environ.get("https_proxy"):
-            logger.debug(f"Using proxy: {proxy}")
-        os.environ["no_proxy"] = "localhost"
+        proxy_config = self.astrbot_config.get("http_proxy", "")
+        if proxy_config != "":
+            os.environ["https_proxy"] = proxy_config
+            os.environ["http_proxy"] = proxy_config
+            logger.debug(f"Using proxy: {proxy_config}")
+            # 设置 no_proxy
+            no_proxy_list = self.astrbot_config.get("no_proxy", [])
+            os.environ["no_proxy"] = ",".join(no_proxy_list)
+        else:
+            # 清空代理环境变量
+            if "https_proxy" in os.environ:
+                del os.environ["https_proxy"]
+            if "http_proxy" in os.environ:
+                del os.environ["http_proxy"]
+            if "no_proxy" in os.environ:
+                del os.environ["no_proxy"]
+            logger.debug("HTTP proxy cleared")
 
     async def initialize(self):
         """
@@ -66,11 +80,26 @@ class AstrBotCoreLifecycle:
         else:
             logger.setLevel(self.astrbot_config["log_level"])  # 设置日志级别
 
+        await self.db.initialize()
+
+        await html_renderer.initialize()
+
+        # 初始化 AstrBot 配置管理器
+        self.astrbot_config_mgr = AstrBotConfigManager(
+            default_config=self.astrbot_config, sp=sp
+        )
+
         # 初始化事件队列
         self.event_queue = Queue()
 
+        # 初始化人格管理器
+        self.persona_mgr = PersonaManager(self.db, self.astrbot_config_mgr)
+        await self.persona_mgr.initialize()
+
         # 初始化供应商管理器
-        self.provider_manager = ProviderManager(self.astrbot_config, self.db)
+        self.provider_manager = ProviderManager(
+            self.astrbot_config_mgr, self.db, self.persona_mgr
+        )
 
         # 初始化平台管理器
         self.platform_manager = PlatformManager(self.astrbot_config, self.event_queue)
@@ -78,6 +107,9 @@ class AstrBotCoreLifecycle:
         # 初始化对话管理器
         self.conversation_manager = ConversationManager(self.db)
 
+        # 初始化平台消息历史管理器
+        self.platform_message_history_manager = PlatformMessageHistoryManager(self.db)
+
         # 初始化提供给插件的上下文
         self.star_context = Context(
             self.event_queue,
@@ -86,6 +118,9 @@ class AstrBotCoreLifecycle:
             self.provider_manager,
             self.platform_manager,
             self.conversation_manager,
+            self.platform_message_history_manager,
+            self.persona_mgr,
+            self.astrbot_config_mgr,
         )
 
         # 初始化插件管理器
@@ -98,16 +133,16 @@ class AstrBotCoreLifecycle:
         await self.provider_manager.initialize()
 
         # 初始化消息事件流水线调度器
-        self.pipeline_scheduler = PipelineScheduler(
-            PipelineContext(self.astrbot_config, self.plugin_manager)
-        )
-        await self.pipeline_scheduler.initialize()
+
+        self.pipeline_scheduler_mapping = await self.load_pipeline_scheduler()
 
         # 初始化更新器
         self.astrbot_updator = AstrBotUpdator()
 
         # 初始化事件总线
-        self.event_bus = EventBus(self.event_queue, self.pipeline_scheduler)
+        self.event_bus = EventBus(
+            self.event_queue, self.pipeline_scheduler_mapping, self.astrbot_config_mgr
+        )
 
         # 记录启动时间
         self.start_time = int(time.time())
@@ -224,6 +259,39 @@ class AstrBotCoreLifecycle:
         platform_insts = self.platform_manager.get_insts()
         for platform_inst in platform_insts:
             tasks.append(
-                asyncio.create_task(platform_inst.run(), name=platform_inst.meta().name)
+                asyncio.create_task(
+                    platform_inst.run(),
+                    name=f"{platform_inst.meta().id}({platform_inst.meta().name})",
+                )
             )
         return tasks
+
+    async def load_pipeline_scheduler(self) -> dict[str, PipelineScheduler]:
+        """加载消息事件流水线调度器
+
+        Returns:
+            dict[str, PipelineScheduler]: 平台 ID 到流水线调度器的映射
+        """
+        mapping = {}
+        for conf_id, ab_config in self.astrbot_config_mgr.confs.items():
+            scheduler = PipelineScheduler(
+                PipelineContext(ab_config, self.plugin_manager, conf_id)
+            )
+            await scheduler.initialize()
+            mapping[conf_id] = scheduler
+        return mapping
+
+    async def reload_pipeline_scheduler(self, conf_id: str):
+        """重新加载消息事件流水线调度器
+
+        Returns:
+            dict[str, PipelineScheduler]: 平台 ID 到流水线调度器的映射
+        """
+        ab_config = self.astrbot_config_mgr.confs.get(conf_id)
+        if not ab_config:
+            raise ValueError(f"配置文件 {conf_id} 不存在")
+        scheduler = PipelineScheduler(
+            PipelineContext(ab_config, self.plugin_manager, conf_id)
+        )
+        await scheduler.initialize()
+        self.pipeline_scheduler_mapping[conf_id] = scheduler

astrbot/core/db/__init__.py

@@ -1,7 +1,20 @@
 import abc
+import datetime
+import typing as T
+from deprecated import deprecated
 from dataclasses import dataclass
-from typing import List, Dict, Any, Tuple
-from astrbot.core.db.po import Stats, LLMHistory, ATRIVision, Conversation
+from astrbot.core.db.po import (
+    Stats,
+    PlatformStat,
+    ConversationV2,
+    PlatformMessageHistory,
+    Attachment,
+    Persona,
+    Preference,
+)
+from contextlib import asynccontextmanager
+from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
+from sqlalchemy.orm import sessionmaker
 
 
 @dataclass
@@ -10,152 +23,267 @@ class BaseDatabase(abc.ABC):
     数据库基类
     """
 
+    DATABASE_URL = ""
+
     def __init__(self) -> None:
+        self.engine = create_async_engine(
+            self.DATABASE_URL,
+            echo=False,
+            future=True,
+        )
+        self.AsyncSessionLocal = sessionmaker(
+            self.engine, class_=AsyncSession, expire_on_commit=False
+        )
+
+    async def initialize(self):
+        """初始化数据库连接"""
         pass
 
-    def insert_base_metrics(self, metrics: dict):
-        """插入基础指标数据"""
-        self.insert_platform_metrics(metrics["platform_stats"])
-        self.insert_plugin_metrics(metrics["plugin_stats"])
-        self.insert_command_metrics(metrics["command_stats"])
-        self.insert_llm_metrics(metrics["llm_stats"])
-
-    @abc.abstractmethod
-    def insert_platform_metrics(self, metrics: dict):
-        """插入平台指标数据"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def insert_plugin_metrics(self, metrics: dict):
-        """插入插件指标数据"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def insert_command_metrics(self, metrics: dict):
-        """插入指令指标数据"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def insert_llm_metrics(self, metrics: dict):
-        """插入 LLM 指标数据"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def update_llm_history(self, session_id: str, content: str, provider_type: str):
-        """更新 LLM 历史记录。当不存在 session_id 时插入"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def get_llm_history(
-        self, session_id: str = None, provider_type: str = None
-    ) -> List[LLMHistory]:
-        """获取 LLM 历史记录, 如果 session_id 为 None, 返回所有"""
-        raise NotImplementedError
+    @asynccontextmanager
+    async def get_db(self) -> T.AsyncGenerator[AsyncSession, None]:
+        """Get a database session."""
+        if not self.inited:
+            await self.initialize()
+            self.inited = True
+        async with self.AsyncSessionLocal() as session:
+            yield session
 
+    @deprecated(version="4.0.0", reason="Use get_platform_stats instead")
     @abc.abstractmethod
     def get_base_stats(self, offset_sec: int = 86400) -> Stats:
         """获取基础统计数据"""
         raise NotImplementedError
 
+    @deprecated(version="4.0.0", reason="Use get_platform_stats instead")
     @abc.abstractmethod
     def get_total_message_count(self) -> int:
         """获取总消息数"""
         raise NotImplementedError
 
+    @deprecated(version="4.0.0", reason="Use get_platform_stats instead")
     @abc.abstractmethod
     def get_grouped_base_stats(self, offset_sec: int = 86400) -> Stats:
         """获取基础统计数据(合并)"""
         raise NotImplementedError
 
-    @abc.abstractmethod
-    def insert_atri_vision_data(self, vision_data: ATRIVision):
-        """插入 ATRI 视觉数据"""
-        raise NotImplementedError
+    # New methods in v4.0.0
 
     @abc.abstractmethod
-    def get_atri_vision_data(self) -> List[ATRIVision]:
-        """获取 ATRI 视觉数据"""
-        raise NotImplementedError
+    async def insert_platform_stats(
+        self,
+        platform_id: str,
+        platform_type: str,
+        count: int = 1,
+        timestamp: datetime.datetime | None = None,
+    ) -> None:
+        """Insert a new platform statistic record."""
+        ...
 
     @abc.abstractmethod
-    def get_atri_vision_data_by_path_or_id(
-        self, url_or_path: str, id: str
-    ) -> ATRIVision:
-        """通过 url 或 path 获取 ATRI 视觉数据"""
-        raise NotImplementedError
+    async def count_platform_stats(self) -> int:
+        """Count the number of platform statistics records."""
+        ...
 
     @abc.abstractmethod
-    def get_conversation_by_user_id(self, user_id: str, cid: str) -> Conversation:
-        """通过 user_id 和 cid 获取 Conversation"""
-        raise NotImplementedError
+    async def get_platform_stats(self, offset_sec: int = 86400) -> list[PlatformStat]:
+        """Get platform statistics within the specified offset in seconds and group by platform_id."""
+        ...
 
     @abc.abstractmethod
-    def new_conversation(self, user_id: str, cid: str):
-        """新建 Conversation"""
-        raise NotImplementedError
+    async def get_conversations(
+        self, user_id: str | None = None, platform_id: str | None = None
+    ) -> list[ConversationV2]:
+        """Get all conversations for a specific user and platform_id(optional).
 
-    @abc.abstractmethod
-    def get_conversations(self, user_id: str) -> List[Conversation]:
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def update_conversation(self, user_id: str, cid: str, history: str):
-        """更新 Conversation"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def delete_conversation(self, user_id: str, cid: str):
-        """删除 Conversation"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def update_conversation_title(self, user_id: str, cid: str, title: str):
-        """更新 Conversation 标题"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def update_conversation_persona_id(self, user_id: str, cid: str, persona_id: str):
-        """更新 Conversation Persona ID"""
-        raise NotImplementedError
-
-    @abc.abstractmethod
-    def get_all_conversations(
-        self, page: int = 1, page_size: int = 20
-    ) -> Tuple[List[Dict[str, Any]], int]:
-        """获取所有对话，支持分页
-
-        Args:
-            page: 页码，从1开始
-            page_size: 每页数量
-
-        Returns:
-            Tuple[List[Dict[str, Any]], int]: 返回一个元组，包含对话列表和总对话数
+        content is not included in the result.
         """
-        raise NotImplementedError
+        ...
 
     @abc.abstractmethod
-    def get_filtered_conversations(
+    async def get_conversation_by_id(self, cid: str) -> ConversationV2:
+        """Get a specific conversation by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def get_all_conversations(
+        self, page: int = 1, page_size: int = 20
+    ) -> list[ConversationV2]:
+        """Get all conversations with pagination."""
+        ...
+
+    @abc.abstractmethod
+    async def get_filtered_conversations(
         self,
         page: int = 1,
         page_size: int = 20,
-        platforms: List[str] = None,
-        message_types: List[str] = None,
-        search_query: str = None,
-        exclude_ids: List[str] = None,
-        exclude_platforms: List[str] = None,
-    ) -> Tuple[List[Dict[str, Any]], int]:
-        """获取筛选后的对话列表
+        platform_ids: list[str] | None = None,
+        search_query: str = "",
+        **kwargs,
+    ) -> tuple[list[ConversationV2], int]:
+        """Get conversations filtered by platform IDs and search query."""
+        ...
 
-        Args:
-            page: 页码
-            page_size: 每页数量
-            platforms: 平台筛选列表
-            message_types: 消息类型筛选列表
-            search_query: 搜索关键词
-            exclude_ids: 排除的用户ID列表
-            exclude_platforms: 排除的平台列表
+    @abc.abstractmethod
+    async def create_conversation(
+        self,
+        user_id: str,
+        platform_id: str,
+        content: list[dict] | None = None,
+        title: str | None = None,
+        persona_id: str | None = None,
+        cid: str | None = None,
+        created_at: datetime.datetime | None = None,
+        updated_at: datetime.datetime | None = None,
+    ) -> ConversationV2:
+        """Create a new conversation."""
+        ...
 
-        Returns:
-            Tuple[List[Dict[str, Any]], int]: 返回一个元组，包含对话列表和总对话数
-        """
-        raise NotImplementedError
+    @abc.abstractmethod
+    async def update_conversation(
+        self,
+        cid: str,
+        title: str | None = None,
+        persona_id: str | None = None,
+        content: list[dict] | None = None,
+    ) -> None:
+        """Update a conversation's history."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_conversation(self, cid: str) -> None:
+        """Delete a conversation by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_conversations_by_user_id(self, user_id: str) -> None:
+        """Delete all conversations for a specific user."""
+        ...
+
+    @abc.abstractmethod
+    async def insert_platform_message_history(
+        self,
+        platform_id: str,
+        user_id: str,
+        content: list[dict],
+        sender_id: str | None = None,
+        sender_name: str | None = None,
+    ) -> None:
+        """Insert a new platform message history record."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_platform_message_offset(
+        self, platform_id: str, user_id: str, offset_sec: int = 86400
+    ) -> None:
+        """Delete platform message history records older than the specified offset."""
+        ...
+
+    @abc.abstractmethod
+    async def get_platform_message_history(
+        self,
+        platform_id: str,
+        user_id: str,
+        page: int = 1,
+        page_size: int = 20,
+    ) -> list[PlatformMessageHistory]:
+        """Get platform message history for a specific user."""
+        ...
+
+    @abc.abstractmethod
+    async def insert_attachment(
+        self,
+        path: str,
+        type: str,
+        mime_type: str,
+    ):
+        """Insert a new attachment record."""
+        ...
+
+    @abc.abstractmethod
+    async def get_attachment_by_id(self, attachment_id: str) -> Attachment:
+        """Get an attachment by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def insert_persona(
+        self,
+        persona_id: str,
+        system_prompt: str,
+        begin_dialogs: list[str] | None = None,
+        tools: list[str] | None = None,
+    ) -> Persona:
+        """Insert a new persona record."""
+        ...
+
+    @abc.abstractmethod
+    async def get_persona_by_id(self, persona_id: str) -> Persona:
+        """Get a persona by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def get_personas(self) -> list[Persona]:
+        """Get all personas for a specific bot."""
+        ...
+
+    @abc.abstractmethod
+    async def update_persona(
+        self,
+        persona_id: str,
+        system_prompt: str | None = None,
+        begin_dialogs: list[str] | None = None,
+        tools: list[str] | None = None,
+    ) -> Persona | None:
+        """Update a persona's system prompt or begin dialogs."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_persona(self, persona_id: str) -> None:
+        """Delete a persona by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def insert_preference_or_update(
+        self, scope: str, scope_id: str, key: str, value: dict
+    ) -> Preference:
+        """Insert a new preference record."""
+        ...
+
+    @abc.abstractmethod
+    async def get_preference(self, scope: str, scope_id: str, key: str) -> Preference:
+        """Get a preference by scope ID and key."""
+        ...
+
+    @abc.abstractmethod
+    async def get_preferences(
+        self, scope: str, scope_id: str | None = None, key: str | None = None
+    ) -> list[Preference]:
+        """Get all preferences for a specific scope ID or key."""
+        ...
+
+    @abc.abstractmethod
+    async def remove_preference(self, scope: str, scope_id: str, key: str) -> None:
+        """Remove a preference by scope ID and key."""
+        ...
+
+    @abc.abstractmethod
+    async def clear_preferences(self, scope: str, scope_id: str) -> None:
+        """Clear all preferences for a specific scope ID."""
+        ...
+
+    # @abc.abstractmethod
+    # async def insert_llm_message(
+    #     self,
+    #     cid: str,
+    #     role: str,
+    #     content: list,
+    #     tool_calls: list = None,
+    #     tool_call_id: str = None,
+    #     parent_id: str = None,
+    # ) -> LLMMessage:
+    #     """Insert a new LLM message into the conversation."""
+    #     ...
+
+    # @abc.abstractmethod
+    # async def get_llm_messages(self, cid: str) -> list[LLMMessage]:
+    #     """Get all LLM messages for a specific conversation."""
+    #     ...

astrbot/core/db/migration/helper.py

@@ -0,0 +1,64 @@
+import os
+from astrbot.core.utils.astrbot_path import get_astrbot_data_path
+from astrbot.core.db import BaseDatabase
+from astrbot.core.config import AstrBotConfig
+from astrbot.api import logger, sp
+from .migra_3_to_4 import (
+    migration_conversation_table,
+    migration_platform_table,
+    migration_webchat_data,
+    migration_persona_data,
+    migration_preferences,
+)
+
+
+async def check_migration_needed_v4(db_helper: BaseDatabase) -> bool:
+    """
+    检查是否需要进行数据库迁移
+    如果存在 data_v3.db 并且 preference 中没有 migration_done_v4，则需要进行迁移。
+    """
+    data_v3_exists = os.path.exists(get_astrbot_data_path())
+    if not data_v3_exists:
+        return False
+    migration_done = await db_helper.get_preference(
+        "global", "global", "migration_done_v4"
+    )
+    if migration_done:
+        return False
+    return True
+
+
+async def do_migration_v4(
+    db_helper: BaseDatabase,
+    platform_id_map: dict[str, dict[str, str]],
+    astrbot_config: AstrBotConfig,
+):
+    """
+    执行数据库迁移
+    迁移旧的 webchat_conversation 表到新的 conversation 表。
+    迁移旧的 platform 到新的 platform_stats 表。
+    """
+    if not await check_migration_needed_v4(db_helper):
+        return
+
+    logger.info("开始执行数据库迁移...")
+
+    # 执行会话表迁移
+    await migration_conversation_table(db_helper, platform_id_map)
+
+    # 执行人格数据迁移
+    await migration_persona_data(db_helper, astrbot_config)
+
+    # 执行 WebChat 数据迁移
+    await migration_webchat_data(db_helper, platform_id_map)
+
+    # 执行偏好设置迁移
+    await migration_preferences(db_helper, platform_id_map)
+
+    # 执行平台统计表迁移
+    await migration_platform_table(db_helper, platform_id_map)
+
+    # 标记迁移完成
+    await sp.put_async("global", "global", "migration_done_v4", True)
+
+    logger.info("数据库迁移完成。")

astrbot/core/db/migration/migra_3_to_4.py

@@ -0,0 +1,338 @@
+import json
+import datetime
+from .. import BaseDatabase
+from .sqlite_v3 import SQLiteDatabase as SQLiteV3DatabaseV3
+from .shared_preferences_v3 import sp as sp_v3
+from astrbot.core.config.default import DB_PATH
+from astrbot.api import logger, sp
+from astrbot.core.config import AstrBotConfig
+from astrbot.core.platform.astr_message_event import MessageSesion
+from sqlalchemy.ext.asyncio import AsyncSession
+from astrbot.core.db.po import ConversationV2, PlatformMessageHistory
+from sqlalchemy import text
+
+"""
+1. 迁移旧的 webchat_conversation 表到新的 conversation 表。
+2. 迁移旧的 platform 到新的 platform_stats 表。
+"""
+
+
+def get_platform_id(
+    platform_id_map: dict[str, dict[str, str]], old_platform_name: str
+) -> str:
+    return platform_id_map.get(
+        old_platform_name,
+        {"platform_id": old_platform_name, "platform_type": old_platform_name},
+    ).get("platform_id", old_platform_name)
+
+
+def get_platform_type(
+    platform_id_map: dict[str, dict[str, str]], old_platform_name: str
+) -> str:
+    return platform_id_map.get(
+        old_platform_name,
+        {"platform_id": old_platform_name, "platform_type": old_platform_name},
+    ).get("platform_type", old_platform_name)
+
+
+async def migration_conversation_table(
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
+):
+    db_helper_v3 = SQLiteV3DatabaseV3(
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
+    )
+    conversations, total_cnt = db_helper_v3.get_all_conversations(
+        page=1, page_size=10000000
+    )
+    logger.info(f"迁移 {total_cnt} 条旧的会话数据到新的表中...")
+
+    async with db_helper.get_db() as dbsession:
+        dbsession: AsyncSession
+        async with dbsession.begin():
+            for idx, conversation in enumerate(conversations):
+                if total_cnt > 0 and (idx + 1) % max(1, total_cnt // 10) == 0:
+                    progress = int((idx + 1) / total_cnt * 100)
+                    if progress % 10 == 0:
+                        logger.info(f"进度: {progress}% ({idx + 1}/{total_cnt})")
+                try:
+                    conv = db_helper_v3.get_conversation_by_user_id(
+                        user_id=conversation.get("user_id", "unknown"),
+                        cid=conversation.get("cid", "unknown"),
+                    )
+                    if not conv:
+                        logger.info(
+                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。"
+                        )
+                    if ":" not in conv.user_id:
+                        continue
+                    session = MessageSesion.from_str(session_str=conv.user_id)
+                    platform_id = get_platform_id(
+                        platform_id_map, session.platform_name
+                    )
+                    session.platform_id = platform_id  # 更新平台名称为新的 ID
+                    conv_v2 = ConversationV2(
+                        user_id=str(session),
+                        content=json.loads(conv.history) if conv.history else [],
+                        platform_id=platform_id,
+                        title=conv.title,
+                        persona_id=conv.persona_id,
+                        conversation_id=conv.cid,
+                        created_at=datetime.datetime.fromtimestamp(conv.created_at),
+                        updated_at=datetime.datetime.fromtimestamp(conv.updated_at),
+                    )
+                    dbsession.add(conv_v2)
+                except Exception as e:
+                    logger.error(
+                        f"迁移旧会话 {conversation.get('cid', 'unknown')} 失败: {e}",
+                        exc_info=True,
+                    )
+    logger.info(f"成功迁移 {total_cnt} 条旧的会话数据到新表。")
+
+
+async def migration_platform_table(
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
+):
+    db_helper_v3 = SQLiteV3DatabaseV3(
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
+    )
+    secs_from_2023_4_10_to_now = (
+        datetime.datetime.now(datetime.timezone.utc)
+        - datetime.datetime(2023, 4, 10, tzinfo=datetime.timezone.utc)
+    ).total_seconds()
+    offset_sec = int(secs_from_2023_4_10_to_now)
+    logger.info(f"迁移旧平台数据，offset_sec: {offset_sec} 秒。")
+    stats = db_helper_v3.get_base_stats(offset_sec=offset_sec)
+    logger.info(f"迁移 {len(stats.platform)} 条旧的平台数据到新的表中...")
+    platform_stats_v3 = stats.platform
+
+    if not platform_stats_v3:
+        logger.info("没有找到旧平台数据，跳过迁移。")
+        return
+
+    first_time_stamp = platform_stats_v3[0].timestamp
+    end_time_stamp = platform_stats_v3[-1].timestamp
+    start_time = first_time_stamp - (first_time_stamp % 3600)  # 向下取整到小时
+    end_time = end_time_stamp + (3600 - (end_time_stamp % 3600))  # 向上取整到小时
+
+    idx = 0
+
+    async with db_helper.get_db() as dbsession:
+        dbsession: AsyncSession
+        async with dbsession.begin():
+            total_buckets = (end_time - start_time) // 3600
+            for bucket_idx, bucket_end in enumerate(range(start_time, end_time, 3600)):
+                if bucket_idx % 500 == 0:
+                    progress = int((bucket_idx + 1) / total_buckets * 100)
+                    logger.info(f"进度: {progress}% ({bucket_idx + 1}/{total_buckets})")
+                cnt = 0
+                while (
+                    idx < len(platform_stats_v3)
+                    and platform_stats_v3[idx].timestamp < bucket_end
+                ):
+                    cnt += platform_stats_v3[idx].count
+                    idx += 1
+                if cnt == 0:
+                    continue
+                platform_id = get_platform_id(
+                    platform_id_map, platform_stats_v3[idx].name
+                )
+                platform_type = get_platform_type(
+                    platform_id_map, platform_stats_v3[idx].name
+                )
+                try:
+                    await dbsession.execute(
+                        text("""
+                        INSERT INTO platform_stats (timestamp, platform_id, platform_type, count)
+                        VALUES (:timestamp, :platform_id, :platform_type, :count)
+                        ON CONFLICT(timestamp, platform_id, platform_type) DO UPDATE SET
+                            count = platform_stats.count + EXCLUDED.count
+                        """),
+                        {
+                            "timestamp": datetime.datetime.fromtimestamp(
+                                bucket_end, tz=datetime.timezone.utc
+                            ),
+                            "platform_id": platform_id,
+                            "platform_type": platform_type,
+                            "count": cnt,
+                        },
+                    )
+                except Exception:
+                    logger.error(
+                        f"迁移平台统计数据失败: {platform_id}, {platform_type}, 时间戳: {bucket_end}",
+                        exc_info=True,
+                    )
+    logger.info(f"成功迁移 {len(platform_stats_v3)} 条旧的平台数据到新表。")
+
+
+async def migration_webchat_data(
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
+):
+    """迁移 WebChat 的历史记录到新的 PlatformMessageHistory 表中"""
+    db_helper_v3 = SQLiteV3DatabaseV3(
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
+    )
+    conversations, total_cnt = db_helper_v3.get_all_conversations(
+        page=1, page_size=10000000
+    )
+    logger.info(f"迁移 {total_cnt} 条旧的 WebChat 会话数据到新的表中...")
+
+    async with db_helper.get_db() as dbsession:
+        dbsession: AsyncSession
+        async with dbsession.begin():
+            for idx, conversation in enumerate(conversations):
+                if total_cnt > 0 and (idx + 1) % max(1, total_cnt // 10) == 0:
+                    progress = int((idx + 1) / total_cnt * 100)
+                    if progress % 10 == 0:
+                        logger.info(f"进度: {progress}% ({idx + 1}/{total_cnt})")
+                try:
+                    conv = db_helper_v3.get_conversation_by_user_id(
+                        user_id=conversation.get("user_id", "unknown"),
+                        cid=conversation.get("cid", "unknown"),
+                    )
+                    if not conv:
+                        logger.info(
+                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。"
+                        )
+                    if ":" in conv.user_id:
+                        continue
+                    platform_id = "webchat"
+                    history = json.loads(conv.history) if conv.history else []
+                    for msg in history:
+                        type_ = msg.get("type")  # user type, "bot" or "user"
+                        new_history = PlatformMessageHistory(
+                            platform_id=platform_id,
+                            user_id=conv.cid,  # we use conv.cid as user_id for webchat
+                            content=msg,
+                            sender_id=type_,
+                            sender_name=type_,
+                        )
+                        dbsession.add(new_history)
+
+                except Exception:
+                    logger.error(
+                        f"迁移旧 WebChat 会话 {conversation.get('cid', 'unknown')} 失败",
+                        exc_info=True,
+                    )
+
+    logger.info(f"成功迁移 {total_cnt} 条旧的 WebChat 会话数据到新表。")
+
+
+async def migration_persona_data(
+    db_helper: BaseDatabase, astrbot_config: AstrBotConfig
+):
+    """
+    迁移 Persona 数据到新的表中。
+    旧的 Persona 数据存储在 preference 中，新的 Persona 数据存储在 persona 表中。
+    """
+    v3_persona_config: list[dict] = astrbot_config.get("persona", [])
+    total_personas = len(v3_persona_config)
+    logger.info(f"迁移 {total_personas} 个 Persona 配置到新表中...")
+
+    for idx, persona in enumerate(v3_persona_config):
+        if total_personas > 0 and (idx + 1) % max(1, total_personas // 10) == 0:
+            progress = int((idx + 1) / total_personas * 100)
+            if progress % 10 == 0:
+                logger.info(f"进度: {progress}% ({idx + 1}/{total_personas})")
+        try:
+            begin_dialogs = persona.get("begin_dialogs", [])
+            mood_imitation_dialogs = persona.get("mood_imitation_dialogs", [])
+            mood_prompt = ""
+            user_turn = True
+            for mood_dialog in mood_imitation_dialogs:
+                if user_turn:
+                    mood_prompt += f"A: {mood_dialog}\n"
+                else:
+                    mood_prompt += f"B: {mood_dialog}\n"
+                user_turn = not user_turn
+            system_prompt = persona.get("prompt", "")
+            if mood_prompt:
+                system_prompt += f"Here are few shots of dialogs, you need to imitate the tone of 'B' in the following dialogs to respond:\n {mood_prompt}"
+            persona_new = await db_helper.insert_persona(
+                persona_id=persona["name"],
+                system_prompt=system_prompt,
+                begin_dialogs=begin_dialogs,
+            )
+            logger.info(
+                f"迁移 Persona {persona['name']}({persona_new.system_prompt[:30]}...) 到新表成功。"
+            )
+        except Exception as e:
+            logger.error(f"解析 Persona 配置失败：{e}")
+
+
+async def migration_preferences(
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
+):
+    # 1. global scope migration
+    keys = [
+        "inactivated_llm_tools",
+        "inactivated_plugins",
+        "curr_provider",
+        "curr_provider_tts",
+        "curr_provider_stt",
+        "alter_cmd",
+    ]
+    for key in keys:
+        value = sp_v3.get(key)
+        if value is not None:
+            await sp.put_async("global", "global", key, value)
+            logger.info(f"迁移全局偏好设置 {key} 成功，值: {value}")
+
+    # 2. umo scope migration
+    session_conversation = sp_v3.get("session_conversation", default={})
+    for umo, conversation_id in session_conversation.items():
+        if not umo or not conversation_id:
+            continue
+        try:
+            session = MessageSesion.from_str(session_str=umo)
+            platform_id = get_platform_id(platform_id_map, session.platform_name)
+            session.platform_id = platform_id
+            await sp.put_async("umo", str(session), "sel_conv_id", conversation_id)
+            logger.info(f"迁移会话 {umo} 的对话数据到新表成功，平台 ID: {platform_id}")
+        except Exception as e:
+            logger.error(f"迁移会话 {umo} 的对话数据失败: {e}", exc_info=True)
+
+    session_service_config = sp_v3.get("session_service_config", default={})
+    for umo, config in session_service_config.items():
+        if not umo or not config:
+            continue
+        try:
+            session = MessageSesion.from_str(session_str=umo)
+            platform_id = get_platform_id(platform_id_map, session.platform_name)
+            session.platform_id = platform_id
+
+            await sp.put_async("umo", str(session), "session_service_config", config)
+
+            logger.info(f"迁移会话 {umo} 的服务配置到新表成功，平台 ID: {platform_id}")
+        except Exception as e:
+            logger.error(f"迁移会话 {umo} 的服务配置失败: {e}", exc_info=True)
+
+    session_variables = sp_v3.get("session_variables", default={})
+    for umo, variables in session_variables.items():
+        if not umo or not variables:
+            continue
+        try:
+            session = MessageSesion.from_str(session_str=umo)
+            platform_id = get_platform_id(platform_id_map, session.platform_name)
+            session.platform_id = platform_id
+            await sp.put_async("umo", str(session), "session_variables", variables)
+        except Exception as e:
+            logger.error(f"迁移会话 {umo} 的变量失败: {e}", exc_info=True)
+
+    session_provider_perf = sp_v3.get("session_provider_perf", default={})
+    for umo, perf in session_provider_perf.items():
+        if not umo or not perf:
+            continue
+        try:
+            session = MessageSesion.from_str(session_str=umo)
+            platform_id = get_platform_id(platform_id_map, session.platform_name)
+            session.platform_id = platform_id
+
+            for provider_type, provider_id in perf.items():
+                await sp.put_async(
+                    "umo", str(session), f"provider_perf_{provider_type}", provider_id
+                )
+            logger.info(
+                f"迁移会话 {umo} 的提供商偏好到新表成功，平台 ID: {platform_id}"
+            )
+        except Exception as e:
+            logger.error(f"迁移会话 {umo} 的提供商偏好失败: {e}", exc_info=True)

astrbot/core/db/migration/shared_preferences_v3.py

@@ -0,0 +1,47 @@
+import json
+import os
+from typing import TypeVar
+from astrbot.core.utils.astrbot_path import get_astrbot_data_path
+
+_VT = TypeVar("_VT")
+
+
+class SharedPreferences:
+    def __init__(self, path=None):
+        if path is None:
+            path = os.path.join(get_astrbot_data_path(), "shared_preferences.json")
+        self.path = path
+        self._data = self._load_preferences()
+
+    def _load_preferences(self):
+        if os.path.exists(self.path):
+            try:
+                with open(self.path, "r") as f:
+                    return json.load(f)
+            except json.JSONDecodeError:
+                os.remove(self.path)
+        return {}
+
+    def _save_preferences(self):
+        with open(self.path, "w") as f:
+            json.dump(self._data, f, indent=4, ensure_ascii=False)
+            f.flush()
+
+    def get(self, key, default: _VT = None) -> _VT:
+        return self._data.get(key, default)
+
+    def put(self, key, value):
+        self._data[key] = value
+        self._save_preferences()
+
+    def remove(self, key):
+        if key in self._data:
+            del self._data[key]
+            self._save_preferences()
+
+    def clear(self):
+        self._data.clear()
+        self._save_preferences()
+
+
+sp = SharedPreferences()

astrbot/core/db/migration/sqlite_v3.py

@@ -0,0 +1,494 @@
+import sqlite3
+import time
+from astrbot.core.db.po import Platform, Stats
+from typing import Tuple, List, Dict, Any
+from dataclasses import dataclass
+
+
+@dataclass
+class Conversation:
+    """LLM 对话存储
+
+    对于网页聊天，history 存储了包括指令、回复、图片等在内的所有消息。
+    对于其他平台的聊天，不存储非 LLM 的回复（因为考虑到已经存储在各自的平台上）。
+    """
+
+    user_id: str
+    cid: str
+    history: str = ""
+    """字符串格式的列表。"""
+    created_at: int = 0
+    updated_at: int = 0
+    title: str = ""
+    persona_id: str = ""
+
+
+INIT_SQL = """
+CREATE TABLE IF NOT EXISTS platform(
+    name VARCHAR(32),
+    count INTEGER,
+    timestamp INTEGER
+);
+CREATE TABLE IF NOT EXISTS llm(
+    name VARCHAR(32),
+    count INTEGER,
+    timestamp INTEGER
+);
+CREATE TABLE IF NOT EXISTS plugin(
+    name VARCHAR(32),
+    count INTEGER,
+    timestamp INTEGER
+);
+CREATE TABLE IF NOT EXISTS command(
+    name VARCHAR(32),
+    count INTEGER,
+    timestamp INTEGER
+);
+CREATE TABLE IF NOT EXISTS llm_history(
+    provider_type VARCHAR(32),
+    session_id VARCHAR(32),
+    content TEXT
+);
+
+-- ATRI
+CREATE TABLE IF NOT EXISTS atri_vision(
+    id TEXT,
+    url_or_path TEXT,
+    caption TEXT,
+    is_meme BOOLEAN,
+    keywords TEXT,
+    platform_name VARCHAR(32),
+    session_id VARCHAR(32),
+    sender_nickname VARCHAR(32),
+    timestamp INTEGER
+);
+
+CREATE TABLE IF NOT EXISTS webchat_conversation(
+    user_id TEXT, -- 会话 id
+    cid TEXT, -- 对话 id
+    history TEXT,
+    created_at INTEGER,
+    updated_at INTEGER,
+    title TEXT,
+    persona_id TEXT
+);
+
+PRAGMA encoding = 'UTF-8';
+"""
+
+
+class SQLiteDatabase:
+    def __init__(self, db_path: str) -> None:
+        super().__init__()
+        self.db_path = db_path
+
+        sql = INIT_SQL
+
+        # 初始化数据库
+        self.conn = self._get_conn(self.db_path)
+        c = self.conn.cursor()
+        c.executescript(sql)
+        self.conn.commit()
+
+        # 检查 webchat_conversation 的 title 字段是否存在
+        c.execute(
+            """
+            PRAGMA table_info(webchat_conversation)
+            """
+        )
+        res = c.fetchall()
+        has_title = False
+        has_persona_id = False
+        for row in res:
+            if row[1] == "title":
+                has_title = True
+            if row[1] == "persona_id":
+                has_persona_id = True
+        if not has_title:
+            c.execute(
+                """
+                ALTER TABLE webchat_conversation ADD COLUMN title TEXT;
+                """
+            )
+            self.conn.commit()
+        if not has_persona_id:
+            c.execute(
+                """
+                ALTER TABLE webchat_conversation ADD COLUMN persona_id TEXT;
+                """
+            )
+            self.conn.commit()
+
+        c.close()
+
+    def _get_conn(self, db_path: str) -> sqlite3.Connection:
+        conn = sqlite3.connect(self.db_path)
+        conn.text_factory = str
+        return conn
+
+    def _exec_sql(self, sql: str, params: Tuple = None):
+        conn = self.conn
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            conn = self._get_conn(self.db_path)
+            c = conn.cursor()
+
+        if params:
+            c.execute(sql, params)
+            c.close()
+        else:
+            c.execute(sql)
+            c.close()
+
+        conn.commit()
+
+    def insert_platform_metrics(self, metrics: dict):
+        for k, v in metrics.items():
+            self._exec_sql(
+                """
+                INSERT INTO platform(name, count, timestamp) VALUES (?, ?, ?)
+                """,
+                (k, v, int(time.time())),
+            )
+
+    def insert_llm_metrics(self, metrics: dict):
+        for k, v in metrics.items():
+            self._exec_sql(
+                """
+                INSERT INTO llm(name, count, timestamp) VALUES (?, ?, ?)
+                """,
+                (k, v, int(time.time())),
+            )
+
+    def get_base_stats(self, offset_sec: int = 86400) -> Stats:
+        """获取 offset_sec 秒前到现在的基础统计数据"""
+        where_clause = f" WHERE timestamp >= {int(time.time()) - offset_sec}"
+
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT * FROM platform
+            """
+            + where_clause
+        )
+
+        platform = []
+        for row in c.fetchall():
+            platform.append(Platform(*row))
+
+        c.close()
+
+        return Stats(platform=platform)
+
+    def get_total_message_count(self) -> int:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT SUM(count) FROM platform
+            """
+        )
+        res = c.fetchone()
+        c.close()
+        return res[0]
+
+    def get_grouped_base_stats(self, offset_sec: int = 86400) -> Stats:
+        """获取 offset_sec 秒前到现在的基础统计数据(合并)"""
+        where_clause = f" WHERE timestamp >= {int(time.time()) - offset_sec}"
+
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT name, SUM(count), timestamp FROM platform
+            """
+            + where_clause
+            + " GROUP BY name"
+        )
+
+        platform = []
+        for row in c.fetchall():
+            platform.append(Platform(*row))
+
+        c.close()
+
+        return Stats(platform, [], [])
+
+    def get_conversation_by_user_id(self, user_id: str, cid: str) -> Conversation:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT * FROM webchat_conversation WHERE user_id = ? AND cid = ?
+            """,
+            (user_id, cid),
+        )
+
+        res = c.fetchone()
+        c.close()
+
+        if not res:
+            return
+
+        return Conversation(*res)
+
+    def new_conversation(self, user_id: str, cid: str):
+        history = "[]"
+        updated_at = int(time.time())
+        created_at = updated_at
+        self._exec_sql(
+            """
+            INSERT INTO webchat_conversation(user_id, cid, history, updated_at, created_at) VALUES (?, ?, ?, ?, ?)
+            """,
+            (user_id, cid, history, updated_at, created_at),
+        )
+
+    def get_conversations(self, user_id: str) -> Tuple:
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        c.execute(
+            """
+            SELECT cid, created_at, updated_at, title, persona_id FROM webchat_conversation WHERE user_id = ? ORDER BY updated_at DESC
+            """,
+            (user_id,),
+        )
+
+        res = c.fetchall()
+        c.close()
+        conversations = []
+        for row in res:
+            cid = row[0]
+            created_at = row[1]
+            updated_at = row[2]
+            title = row[3]
+            persona_id = row[4]
+            conversations.append(
+                Conversation("", cid, "[]", created_at, updated_at, title, persona_id)
+            )
+        return conversations
+
+    def update_conversation(self, user_id: str, cid: str, history: str):
+        """更新对话，并且同时更新时间"""
+        updated_at = int(time.time())
+        self._exec_sql(
+            """
+            UPDATE webchat_conversation SET history = ?, updated_at = ? WHERE user_id = ? AND cid = ?
+            """,
+            (history, updated_at, user_id, cid),
+        )
+
+    def update_conversation_title(self, user_id: str, cid: str, title: str):
+        self._exec_sql(
+            """
+            UPDATE webchat_conversation SET title = ? WHERE user_id = ? AND cid = ?
+            """,
+            (title, user_id, cid),
+        )
+
+    def update_conversation_persona_id(self, user_id: str, cid: str, persona_id: str):
+        self._exec_sql(
+            """
+            UPDATE webchat_conversation SET persona_id = ? WHERE user_id = ? AND cid = ?
+            """,
+            (persona_id, user_id, cid),
+        )
+
+    def delete_conversation(self, user_id: str, cid: str):
+        self._exec_sql(
+            """
+            DELETE FROM webchat_conversation WHERE user_id = ? AND cid = ?
+            """,
+            (user_id, cid),
+        )
+
+    def get_all_conversations(
+        self, page: int = 1, page_size: int = 20
+    ) -> Tuple[List[Dict[str, Any]], int]:
+        """获取所有对话，支持分页，按更新时间降序排序"""
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        try:
+            # 获取总记录数
+            c.execute("""
+                SELECT COUNT(*) FROM webchat_conversation
+            """)
+            total_count = c.fetchone()[0]
+
+            # 计算偏移量
+            offset = (page - 1) * page_size
+
+            # 获取分页数据，按更新时间降序排序
+            c.execute(
+                """
+                SELECT user_id, cid, created_at, updated_at, title, persona_id
+                FROM webchat_conversation
+                ORDER BY updated_at DESC
+                LIMIT ? OFFSET ?
+            """,
+                (page_size, offset),
+            )
+
+            rows = c.fetchall()
+
+            conversations = []
+
+            for row in rows:
+                user_id, cid, created_at, updated_at, title, persona_id = row
+                # 确保 cid 是字符串类型且至少有8个字符，否则使用一个默认值
+                safe_cid = str(cid) if cid else "unknown"
+                display_cid = safe_cid[:8] if len(safe_cid) >= 8 else safe_cid
+
+                conversations.append(
+                    {
+                        "user_id": user_id or "",
+                        "cid": safe_cid,
+                        "title": title or f"对话 {display_cid}",
+                        "persona_id": persona_id or "",
+                        "created_at": created_at or 0,
+                        "updated_at": updated_at or 0,
+                    }
+                )
+
+            return conversations, total_count
+
+        except Exception as _:
+            # 返回空列表和0，确保即使出错也有有效的返回值
+            return [], 0
+        finally:
+            c.close()
+
+    def get_filtered_conversations(
+        self,
+        page: int = 1,
+        page_size: int = 20,
+        platforms: List[str] = None,
+        message_types: List[str] = None,
+        search_query: str = None,
+        exclude_ids: List[str] = None,
+        exclude_platforms: List[str] = None,
+    ) -> Tuple[List[Dict[str, Any]], int]:
+        """获取筛选后的对话列表"""
+        try:
+            c = self.conn.cursor()
+        except sqlite3.ProgrammingError:
+            c = self._get_conn(self.db_path).cursor()
+
+        try:
+            # 构建查询条件
+            where_clauses = []
+            params = []
+
+            # 平台筛选
+            if platforms and len(platforms) > 0:
+                platform_conditions = []
+                for platform in platforms:
+                    platform_conditions.append("user_id LIKE ?")
+                    params.append(f"{platform}:%")
+
+                if platform_conditions:
+                    where_clauses.append(f"({' OR '.join(platform_conditions)})")
+
+            # 消息类型筛选
+            if message_types and len(message_types) > 0:
+                message_type_conditions = []
+                for msg_type in message_types:
+                    message_type_conditions.append("user_id LIKE ?")
+                    params.append(f"%:{msg_type}:%")
+
+                if message_type_conditions:
+                    where_clauses.append(f"({' OR '.join(message_type_conditions)})")
+
+            # 搜索关键词
+            if search_query:
+                search_query = search_query.encode("unicode_escape").decode("utf-8")
+                where_clauses.append(
+                    "(title LIKE ? OR user_id LIKE ? OR cid LIKE ? OR history LIKE ?)"
+                )
+                search_param = f"%{search_query}%"
+                params.extend([search_param, search_param, search_param, search_param])
+
+            # 排除特定用户ID
+            if exclude_ids and len(exclude_ids) > 0:
+                for exclude_id in exclude_ids:
+                    where_clauses.append("user_id NOT LIKE ?")
+                    params.append(f"{exclude_id}%")
+
+            # 排除特定平台
+            if exclude_platforms and len(exclude_platforms) > 0:
+                for exclude_platform in exclude_platforms:
+                    where_clauses.append("user_id NOT LIKE ?")
+                    params.append(f"{exclude_platform}:%")
+
+            # 构建完整的 WHERE 子句
+            where_sql = " WHERE " + " AND ".join(where_clauses) if where_clauses else ""
+
+            # 构建计数查询
+            count_sql = f"SELECT COUNT(*) FROM webchat_conversation{where_sql}"
+
+            # 获取总记录数
+            c.execute(count_sql, params)
+            total_count = c.fetchone()[0]
+
+            # 计算偏移量
+            offset = (page - 1) * page_size
+
+            # 构建分页数据查询
+            data_sql = f"""
+                SELECT user_id, cid, created_at, updated_at, title, persona_id
+                FROM webchat_conversation
+                {where_sql}
+                ORDER BY updated_at DESC
+                LIMIT ? OFFSET ?
+            """
+            query_params = params + [page_size, offset]
+
+            # 获取分页数据
+            c.execute(data_sql, query_params)
+            rows = c.fetchall()
+
+            conversations = []
+
+            for row in rows:
+                user_id, cid, created_at, updated_at, title, persona_id = row
+                # 确保 cid 是字符串类型，否则使用一个默认值
+                safe_cid = str(cid) if cid else "unknown"
+                display_cid = safe_cid[:8] if len(safe_cid) >= 8 else safe_cid
+
+                conversations.append(
+                    {
+                        "user_id": user_id or "",
+                        "cid": safe_cid,
+                        "title": title or f"对话 {display_cid}",
+                        "persona_id": persona_id or "",
+                        "created_at": created_at or 0,
+                        "updated_at": updated_at or 0,
+                    }
+                )
+
+            return conversations, total_count
+
+        except Exception as _:
+            # 返回空列表和0，确保即使出错也有有效的返回值
+            return [], 0
+        finally:
+            c.close()

astrbot/core/db/po.py

@@ -1,7 +1,233 @@
-"""指标数据"""
+import uuid
 
+from datetime import datetime, timezone
 from dataclasses import dataclass, field
-from typing import List
+from sqlmodel import (
+    SQLModel,
+    Text,
+    JSON,
+    UniqueConstraint,
+    Field,
+)
+from typing import Optional, TypedDict
+
+
+class PlatformStat(SQLModel, table=True):
+    """This class represents the statistics of bot usage across different platforms.
+
+    Note: In astrbot v4, we moved `platform` table to here.
+    """
+
+    __tablename__ = "platform_stats"
+
+    id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
+    timestamp: datetime = Field(nullable=False)
+    platform_id: str = Field(nullable=False)
+    platform_type: str = Field(nullable=False)  # such as "aiocqhttp", "slack", etc.
+    count: int = Field(default=0, nullable=False)
+
+    __table_args__ = (
+        UniqueConstraint(
+            "timestamp",
+            "platform_id",
+            "platform_type",
+            name="uix_platform_stats",
+        ),
+    )
+
+
+class ConversationV2(SQLModel, table=True):
+    __tablename__ = "conversations"
+
+    inner_conversation_id: int = Field(
+        primary_key=True, sa_column_kwargs={"autoincrement": True}
+    )
+    conversation_id: str = Field(
+        max_length=36,
+        nullable=False,
+        unique=True,
+        default_factory=lambda: str(uuid.uuid4()),
+    )
+    platform_id: str = Field(nullable=False)
+    user_id: str = Field(nullable=False)
+    content: Optional[list] = Field(default=None, sa_type=JSON)
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+    title: Optional[str] = Field(default=None, max_length=255)
+    persona_id: Optional[str] = Field(default=None)
+
+    __table_args__ = (
+        UniqueConstraint(
+            "conversation_id",
+            name="uix_conversation_id",
+        ),
+    )
+
+
+class Persona(SQLModel, table=True):
+    """Persona is a set of instructions for LLMs to follow.
+
+    It can be used to customize the behavior of LLMs.
+    """
+
+    __tablename__ = "personas"
+
+    id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
+    persona_id: str = Field(max_length=255, nullable=False)
+    system_prompt: str = Field(sa_type=Text, nullable=False)
+    begin_dialogs: Optional[list] = Field(default=None, sa_type=JSON)
+    """a list of strings, each representing a dialog to start with"""
+    tools: Optional[list] = Field(default=None, sa_type=JSON)
+    """None means use ALL tools for default, empty list means no tools, otherwise a list of tool names."""
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+    __table_args__ = (
+        UniqueConstraint(
+            "persona_id",
+            name="uix_persona_id",
+        ),
+    )
+
+
+class Preference(SQLModel, table=True):
+    """This class represents preferences for bots."""
+
+    __tablename__ = "preferences"
+
+    id: int | None = Field(
+        default=None, primary_key=True, sa_column_kwargs={"autoincrement": True}
+    )
+    scope: str = Field(nullable=False)
+    """Scope of the preference, such as 'global', 'umo', 'plugin'."""
+    scope_id: str = Field(nullable=False)
+    """ID of the scope, such as 'global', 'umo', 'plugin_name'."""
+    key: str = Field(nullable=False)
+    value: dict = Field(sa_type=JSON, nullable=False)
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+    __table_args__ = (
+        UniqueConstraint(
+            "scope",
+            "scope_id",
+            "key",
+            name="uix_preference_scope_scope_id_key",
+        ),
+    )
+
+
+class PlatformMessageHistory(SQLModel, table=True):
+    """This class represents the message history for a specific platform.
+
+    It is used to store messages that are not LLM-generated, such as user messages
+    or platform-specific messages.
+    """
+
+    __tablename__ = "platform_message_history"
+
+    id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
+    platform_id: str = Field(nullable=False)
+    user_id: str = Field(nullable=False)  # An id of group, user in platform
+    sender_id: Optional[str] = Field(default=None)  # ID of the sender in the platform
+    sender_name: Optional[str] = Field(
+        default=None
+    )  # Name of the sender in the platform
+    content: dict = Field(sa_type=JSON, nullable=False)  # a message chain list
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+
+class Attachment(SQLModel, table=True):
+    """This class represents attachments for messages in AstrBot.
+
+    Attachments can be images, files, or other media types.
+    """
+
+    __tablename__ = "attachments"
+
+    inner_attachment_id: int = Field(
+        primary_key=True, sa_column_kwargs={"autoincrement": True}
+    )
+    attachment_id: str = Field(
+        max_length=36,
+        nullable=False,
+        unique=True,
+        default_factory=lambda: str(uuid.uuid4()),
+    )
+    path: str = Field(nullable=False)  # Path to the file on disk
+    type: str = Field(nullable=False)  # Type of the file (e.g., 'image', 'file')
+    mime_type: str = Field(nullable=False)  # MIME type of the file
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+    __table_args__ = (
+        UniqueConstraint(
+            "attachment_id",
+            name="uix_attachment_id",
+        ),
+    )
+
+
+@dataclass
+class Conversation:
+    """LLM 对话类
+
+    对于 WebChat，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）。
+
+    在 v4.0.0 版本及之后，WebChat 的历史记录被迁移至 `PlatformMessageHistory` 表中，
+    """
+
+    platform_id: str
+    user_id: str
+    cid: str
+    """对话 ID, 是 uuid 格式的字符串"""
+    history: str = ""
+    """字符串格式的对话列表。"""
+    title: str | None = ""
+    persona_id: str | None = ""
+    created_at: int = 0
+    updated_at: int = 0
+
+
+class Personality(TypedDict):
+    """LLM 人格类。
+
+    在 v4.0.0 版本及之后，推荐使用上面的 Persona 类。并且， mood_imitation_dialogs 字段已被废弃。
+    """
+
+    prompt: str = ""
+    name: str = ""
+    begin_dialogs: list[str] = []
+    mood_imitation_dialogs: list[str] = []
+    """情感模拟对话预设。在 v4.0.0 版本及之后，已被废弃。"""
+    tools: list[str] | None = None
+    """工具列表。None 表示使用所有工具，空列表表示不使用任何工具"""
+
+    # cache
+    _begin_dialogs_processed: list[dict] = []
+    _mood_imitation_dialogs_processed: str = ""
+
+
+# ====
+# Deprecated, and will be removed in future versions.
+# ====
 
 
 @dataclass
@@ -13,77 +239,6 @@ class Platform:
     timestamp: int
 
 
-@dataclass
-class Provider:
-    """供应商使用统计数据"""
-
-    name: str
-    count: int
-    timestamp: int
-
-
-@dataclass
-class Plugin:
-    """插件使用统计数据"""
-
-    name: str
-    count: int
-    timestamp: int
-
-
-@dataclass
-class Command:
-    """命令使用统计数据"""
-
-    name: str
-    count: int
-    timestamp: int
-
-
 @dataclass
 class Stats:
-    platform: List[Platform] = field(default_factory=list)
-    command: List[Command] = field(default_factory=list)
-    llm: List[Provider] = field(default_factory=list)
-
-
-@dataclass
-class LLMHistory:
-    """LLM 聊天时持久化的信息"""
-
-    provider_type: str
-    session_id: str
-    content: str
-
-
-@dataclass
-class ATRIVision:
-    """Deprecated"""
-
-    id: str
-    url_or_path: str
-    caption: str
-    is_meme: bool
-    keywords: List[str]
-    platform_name: str
-    session_id: str
-    sender_nickname: str
-    timestamp: int = -1
-
-
-@dataclass
-class Conversation:
-    """LLM 对话存储
-
-    对于网页聊天，history 存储了包括指令、回复、图片等在内的所有消息。
-    对于其他平台的聊天，不存储非 LLM 的回复（因为考虑到已经存储在各自的平台上）。
-    """
-
-    user_id: str
-    cid: str
-    history: str = ""
-    """字符串格式的列表。"""
-    created_at: int = 0
-    updated_at: int = 0
-    title: str = ""
-    persona_id: str = ""
+    platform: list[Platform] = field(default_factory=list)

astrbot/core/db/sqlite_init.sql

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

astrbot/core/db/vec_db/faiss_impl/__init__.py

@@ -1,3 +1,3 @@
 from .vec_db import FaissVecDB
 
-__all__ = ["FaissVecDB"]
+__all__ = ["FaissVecDB"]

astrbot/core/db/vec_db/faiss_impl/vec_db.py

@@ -5,6 +5,7 @@ from .document_storage import DocumentStorage
 from .embedding_storage import EmbeddingStorage
 from ..base import Result, BaseVecDB
 from astrbot.core.provider.provider import EmbeddingProvider
+from astrbot.core.provider.provider import RerankProvider
 
 
 class FaissVecDB(BaseVecDB):
@@ -17,6 +18,7 @@ class FaissVecDB(BaseVecDB):
         doc_store_path: str,
         index_store_path: str,
         embedding_provider: EmbeddingProvider,
+        rerank_provider: RerankProvider | None = None,
     ):
         self.doc_store_path = doc_store_path
         self.index_store_path = index_store_path
@@ -26,11 +28,14 @@ class FaissVecDB(BaseVecDB):
             embedding_provider.get_dim(), index_store_path
         )
         self.embedding_provider = embedding_provider
+        self.rerank_provider = rerank_provider
 
     async def initialize(self):
         await self.document_storage.initialize()
 
-    async def insert(self, content: str, metadata: dict = None, id: str = None) -> int:
+    async def insert(
+        self, content: str, metadata: dict | None = None, id: str | None = None
+    ) -> int:
         """
         插入一条文本和其对应向量，自动生成 ID 并保持一致性。
         """
@@ -53,7 +58,12 @@ class FaissVecDB(BaseVecDB):
             return int_id
 
     async def retrieve(
-        self, query: str, k: int = 5, fetch_k: int = 20, metadata_filters: dict = None
+        self,
+        query: str,
+        k: int = 5,
+        fetch_k: int = 20,
+        rerank: bool = False,
+        metadata_filters: dict | None = None,
     ) -> list[Result]:
         """
         搜索最相似的文档。
@@ -62,6 +72,7 @@ class FaissVecDB(BaseVecDB):
             query (str): 查询文本
             k (int): 返回的最相似文档的数量
             fetch_k (int): 在根据 metadata 过滤前从 FAISS 中获取的数量
+            rerank (bool): 是否使用重排序。这需要在实例化时提供 rerank_provider, 如果未提供并且 rerank 为 True, 不会抛出异常。
             metadata_filters (dict): 元数据过滤器
 
         Returns:
@@ -72,7 +83,6 @@ class FaissVecDB(BaseVecDB):
             vector=np.array([embedding]).astype("float32"),
             k=fetch_k if metadata_filters else k,
         )
-        # TODO: rerank
         if len(indices[0]) == 0 or indices[0][0] == -1:
             return []
         # normalize scores
@@ -83,7 +93,7 @@ class FaissVecDB(BaseVecDB):
         )
         if not fetched_docs:
             return []
-        result_docs = []
+        result_docs: list[Result] = []
 
         idx_pos = {fetch_doc["id"]: idx for idx, fetch_doc in enumerate(fetched_docs)}
         for i, indice_idx in enumerate(indices[0]):
@@ -93,7 +103,21 @@ class FaissVecDB(BaseVecDB):
             fetch_doc = fetched_docs[pos]
             score = scores[0][i]
             result_docs.append(Result(similarity=float(score), data=fetch_doc))
-        return result_docs[:k]
+
+        top_k_results = result_docs[:k]
+
+        if rerank and self.rerank_provider:
+            documents = [doc.data["text"] for doc in top_k_results]
+            reranked_results = await self.rerank_provider.rerank(query, documents)
+            reranked_results = sorted(
+                reranked_results, key=lambda x: x.relevance_score, reverse=True
+            )
+            top_k_results = [
+                top_k_results[reranked_result.index]
+                for reranked_result in reranked_results
+            ]
+
+        return top_k_results
 
     async def delete(self, doc_id: int):
         """

astrbot/core/event_bus.py

@@ -16,30 +16,32 @@ from asyncio import Queue
 from astrbot.core.pipeline.scheduler import PipelineScheduler
 from astrbot.core import logger
 from .platform import AstrMessageEvent
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 
 
 class EventBus:
-    """事件总线: 用于处理事件的分发和处理
+    """用于处理事件的分发和处理"""
 
-    维护一个异步队列, 来接受各种消息事件
-    """
-
-    def __init__(self, event_queue: Queue, pipeline_scheduler: PipelineScheduler):
+    def __init__(
+        self,
+        event_queue: Queue,
+        pipeline_scheduler_mapping: dict[str, PipelineScheduler],
+        astrbot_config_mgr: AstrBotConfigManager = None,
+    ):
         self.event_queue = event_queue  # 事件队列
-        self.pipeline_scheduler = pipeline_scheduler  # 管道调度器
+        # abconf uuid -> scheduler
+        self.pipeline_scheduler_mapping = pipeline_scheduler_mapping
+        self.astrbot_config_mgr = astrbot_config_mgr
 
     async def dispatch(self):
-        """无限循环的调度函数, 从事件队列中获取新的事件, 打印日志并创建一个新的异步任务来执行管道调度器的处理逻辑"""
         while True:
-            event: AstrMessageEvent = (
-                await self.event_queue.get()
-            )  # 从事件队列中获取新的事件
-            self._print_event(event)  # 打印日志
-            asyncio.create_task(
-                self.pipeline_scheduler.execute(event)
-            )  # 创建新的异步任务来执行管道调度器的处理逻辑
+            event: AstrMessageEvent = await self.event_queue.get()
+            conf_info = self.astrbot_config_mgr.get_conf_info(event.unified_msg_origin)
+            self._print_event(event, conf_info["name"])
+            scheduler = self.pipeline_scheduler_mapping.get(conf_info["id"])
+            asyncio.create_task(scheduler.execute(event))
 
-    def _print_event(self, event: AstrMessageEvent):
+    def _print_event(self, event: AstrMessageEvent, conf_name: str):
         """用于记录事件信息
 
         Args:
@@ -48,10 +50,10 @@ class EventBus:
         # 如果有发送者名称: [平台名] 发送者名称/发送者ID: 消息概要
         if event.get_sender_name():
             logger.info(
-                f"[{event.get_platform_name()}] {event.get_sender_name()}/{event.get_sender_id()}: {event.get_message_outline()}"
+                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_name()}/{event.get_sender_id()}: {event.get_message_outline()}"
             )
         # 没有发送者名称: [平台名] 发送者ID: 消息概要
         else:
             logger.info(
-                f"[{event.get_platform_name()}] {event.get_sender_id()}: {event.get_message_outline()}"
+                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_id()}: {event.get_message_outline()}"
             )

astrbot/core/initial_loader.py

@@ -22,6 +22,7 @@ class InitialLoader:
         self.db = db
         self.logger = logger
         self.log_broker = log_broker
+        self.webui_dir: str | None = None
 
     async def start(self):
         core_lifecycle = AstrBotCoreLifecycle(self.log_broker, self.db)
@@ -35,8 +36,10 @@ class InitialLoader:
 
         core_task = core_lifecycle.start()
 
+        webui_dir = self.webui_dir
+
         self.dashboard_server = AstrBotDashboard(
-            core_lifecycle, self.db, core_lifecycle.dashboard_shutdown_event
+            core_lifecycle, self.db, core_lifecycle.dashboard_shutdown_event, webui_dir
         )
         task = asyncio.gather(
             core_task, self.dashboard_server.run()

astrbot/core/message/components.py

@@ -37,7 +37,7 @@ from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 from astrbot.core.utils.io import download_file, download_image_by_url, file_to_base64
 
 
-class ComponentType(Enum):
+class ComponentType(str, Enum):
     Plain = "Plain"  # 纯文本消息
     Face = "Face"  # QQ表情
     Record = "Record"  # 语音
@@ -108,7 +108,7 @@ class BaseMessageComponent(BaseModel):
 
 
 class Plain(BaseMessageComponent):
-    type: ComponentType = "Plain"
+    type = ComponentType.Plain
     text: str
     convert: T.Optional[bool] = True  # 若为 False 则直接发送未转换 CQ 码的消息
 
@@ -128,8 +128,9 @@ class Plain(BaseMessageComponent):
     async def to_dict(self):
         return {"type": "text", "data": {"text": self.text}}
 
+
 class Face(BaseMessageComponent):
-    type: ComponentType = "Face"
+    type = ComponentType.Face
     id: int
 
     def __init__(self, **_):
@@ -137,7 +138,7 @@ class Face(BaseMessageComponent):
 
 
 class Record(BaseMessageComponent):
-    type: ComponentType = "Record"
+    type = ComponentType.Record
     file: T.Optional[str] = ""
     magic: T.Optional[bool] = False
     url: T.Optional[str] = ""
@@ -164,19 +165,24 @@ class Record(BaseMessageComponent):
             return Record(file=url, **_)
         raise Exception("not a valid url")
 
+    @staticmethod
+    def fromBase64(bs64_data: str, **_):
+        return Record(file=f"base64://{bs64_data}", **_)
+
     async def convert_to_file_path(self) -> str:
         """将这个语音统一转换为本地文件路径。这个方法避免了手动判断语音数据类型，直接返回语音数据的本地路径（如果是网络 URL, 则会自动进行下载）。
 
         Returns:
             str: 语音的本地路径，以绝对路径表示。
         """
-        if self.file and self.file.startswith("file:///"):
-            file_path = self.file[8:]
-            return file_path
-        elif self.file and self.file.startswith("http"):
+        if not self.file:
+            raise Exception(f"not a valid file: {self.file}")
+        if self.file.startswith("file:///"):
+            return self.file[8:]
+        elif self.file.startswith("http"):
             file_path = await download_image_by_url(self.file)
             return os.path.abspath(file_path)
-        elif self.file and self.file.startswith("base64://"):
+        elif self.file.startswith("base64://"):
             bs64_data = self.file.removeprefix("base64://")
             image_bytes = base64.b64decode(bs64_data)
             temp_dir = os.path.join(get_astrbot_data_path(), "temp")
@@ -185,8 +191,7 @@ class Record(BaseMessageComponent):
                 f.write(image_bytes)
             return os.path.abspath(file_path)
         elif os.path.exists(self.file):
-            file_path = self.file
-            return os.path.abspath(file_path)
+            return os.path.abspath(self.file)
         else:
             raise Exception(f"not a valid file: {self.file}")
 
@@ -197,12 +202,14 @@ class Record(BaseMessageComponent):
             str: 语音的 base64 编码，不以 base64:// 或者 data:image/jpeg;base64, 开头。
         """
         # convert to base64
-        if self.file and self.file.startswith("file:///"):
+        if not self.file:
+            raise Exception(f"not a valid file: {self.file}")
+        if self.file.startswith("file:///"):
             bs64_data = file_to_base64(self.file[8:])
-        elif self.file and self.file.startswith("http"):
+        elif self.file.startswith("http"):
             file_path = await download_image_by_url(self.file)
             bs64_data = file_to_base64(file_path)
-        elif self.file and self.file.startswith("base64://"):
+        elif self.file.startswith("base64://"):
             bs64_data = self.file
         elif os.path.exists(self.file):
             bs64_data = file_to_base64(self.file)
@@ -236,7 +243,7 @@ class Record(BaseMessageComponent):
 
 
 class Video(BaseMessageComponent):
-    type: ComponentType = "Video"
+    type = ComponentType.Video
     file: str
     cover: T.Optional[str] = ""
     c: T.Optional[int] = 2
@@ -322,7 +329,7 @@ class Video(BaseMessageComponent):
 
 
 class At(BaseMessageComponent):
-    type: ComponentType = "At"
+    type = ComponentType.At
     qq: T.Union[int, str]  # 此处str为all时代表所有人
     name: T.Optional[str] = ""
 
@@ -344,28 +351,28 @@ class AtAll(At):
 
 
 class RPS(BaseMessageComponent):  # TODO
-    type: ComponentType = "RPS"
+    type = ComponentType.RPS
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Dice(BaseMessageComponent):  # TODO
-    type: ComponentType = "Dice"
+    type = ComponentType.Dice
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Shake(BaseMessageComponent):  # TODO
-    type: ComponentType = "Shake"
+    type = ComponentType.Shake
 
     def __init__(self, **_):
         super().__init__(**_)
 
 
 class Anonymous(BaseMessageComponent):  # TODO
-    type: ComponentType = "Anonymous"
+    type = ComponentType.Anonymous
     ignore: T.Optional[bool] = False
 
     def __init__(self, **_):
@@ -373,7 +380,7 @@ class Anonymous(BaseMessageComponent):  # TODO
 
 
 class Share(BaseMessageComponent):
-    type: ComponentType = "Share"
+    type = ComponentType.Share
     url: str
     title: str
     content: T.Optional[str] = ""
@@ -384,7 +391,7 @@ class Share(BaseMessageComponent):
 
 
 class Contact(BaseMessageComponent):  # TODO
-    type: ComponentType = "Contact"
+    type = ComponentType.Contact
     _type: str  # type 字段冲突
     id: T.Optional[int] = 0
 
@@ -393,7 +400,7 @@ class Contact(BaseMessageComponent):  # TODO
 
 
 class Location(BaseMessageComponent):  # TODO
-    type: ComponentType = "Location"
+    type = ComponentType.Location
     lat: float
     lon: float
     title: T.Optional[str] = ""
@@ -404,7 +411,7 @@ class Location(BaseMessageComponent):  # TODO
 
 
 class Music(BaseMessageComponent):
-    type: ComponentType = "Music"
+    type = ComponentType.Music
     _type: str
     id: T.Optional[int] = 0
     url: T.Optional[str] = ""
@@ -421,7 +428,7 @@ class Music(BaseMessageComponent):
 
 
 class Image(BaseMessageComponent):
-    type: ComponentType = "Image"
+    type = ComponentType.Image
     file: T.Optional[str] = ""
     _type: T.Optional[str] = ""
     subType: T.Optional[int] = 0
@@ -464,14 +471,15 @@ class Image(BaseMessageComponent):
         Returns:
             str: 图片的本地路径，以绝对路径表示。
         """
-        url = self.url if self.url else self.file
-        if url and url.startswith("file:///"):
-            image_file_path = url[8:]
-            return image_file_path
-        elif url and url.startswith("http"):
+        url = self.url or self.file
+        if not url:
+            raise ValueError("No valid file or URL provided")
+        if url.startswith("file:///"):
+            return url[8:]
+        elif url.startswith("http"):
             image_file_path = await download_image_by_url(url)
             return os.path.abspath(image_file_path)
-        elif url and url.startswith("base64://"):
+        elif url.startswith("base64://"):
             bs64_data = url.removeprefix("base64://")
             image_bytes = base64.b64decode(bs64_data)
             temp_dir = os.path.join(get_astrbot_data_path(), "temp")
@@ -480,8 +488,7 @@ class Image(BaseMessageComponent):
                 f.write(image_bytes)
             return os.path.abspath(image_file_path)
         elif os.path.exists(url):
-            image_file_path = url
-            return os.path.abspath(image_file_path)
+            return os.path.abspath(url)
         else:
             raise Exception(f"not a valid file: {url}")
 
@@ -492,13 +499,15 @@ class Image(BaseMessageComponent):
             str: 图片的 base64 编码，不以 base64:// 或者 data:image/jpeg;base64, 开头。
         """
         # convert to base64
-        url = self.url if self.url else self.file
-        if url and url.startswith("file:///"):
+        url = self.url or self.file
+        if not url:
+            raise ValueError("No valid file or URL provided")
+        if url.startswith("file:///"):
             bs64_data = file_to_base64(url[8:])
-        elif url and url.startswith("http"):
+        elif url.startswith("http"):
             image_file_path = await download_image_by_url(url)
             bs64_data = file_to_base64(image_file_path)
-        elif url and url.startswith("base64://"):
+        elif url.startswith("base64://"):
             bs64_data = url
         elif os.path.exists(url):
             bs64_data = file_to_base64(url)
@@ -532,7 +541,7 @@ class Image(BaseMessageComponent):
 
 
 class Reply(BaseMessageComponent):
-    type: ComponentType = "Reply"
+    type = ComponentType.Reply
     id: T.Union[str, int]
     """所引用的消息 ID"""
     chain: T.Optional[T.List["BaseMessageComponent"]] = []
@@ -558,7 +567,7 @@ class Reply(BaseMessageComponent):
 
 
 class RedBag(BaseMessageComponent):
-    type: ComponentType = "RedBag"
+    type = ComponentType.RedBag
     title: str
 
     def __init__(self, **_):
@@ -566,7 +575,7 @@ class RedBag(BaseMessageComponent):
 
 
 class Poke(BaseMessageComponent):
-    type: str = ""
+    type: str = ComponentType.Poke
     id: T.Optional[int] = 0
     qq: T.Optional[int] = 0
 
@@ -576,7 +585,7 @@ class Poke(BaseMessageComponent):
 
 
 class Forward(BaseMessageComponent):
-    type: ComponentType = "Forward"
+    type = ComponentType.Forward
     id: str
 
     def __init__(self, **_):
@@ -586,7 +595,7 @@ class Forward(BaseMessageComponent):
 class Node(BaseMessageComponent):
     """群合并转发消息"""
 
-    type: ComponentType = "Node"
+    type = ComponentType.Node
     id: T.Optional[int] = 0  # 忽略
     name: T.Optional[str] = ""  # qq昵称
     uin: T.Optional[str] = "0"  # qq号
@@ -638,7 +647,7 @@ class Node(BaseMessageComponent):
 
 
 class Nodes(BaseMessageComponent):
-    type: ComponentType = "Nodes"
+    type = ComponentType.Nodes
     nodes: T.List[Node]
 
     def __init__(self, nodes: T.List[Node], **_):
@@ -664,7 +673,7 @@ class Nodes(BaseMessageComponent):
 
 
 class Xml(BaseMessageComponent):
-    type: ComponentType = "Xml"
+    type = ComponentType.Xml
     data: str
     resid: T.Optional[int] = 0
 
@@ -673,7 +682,7 @@ class Xml(BaseMessageComponent):
 
 
 class Json(BaseMessageComponent):
-    type: ComponentType = "Json"
+    type = ComponentType.Json
     data: T.Union[str, dict]
     resid: T.Optional[int] = 0
 
@@ -684,7 +693,7 @@ class Json(BaseMessageComponent):
 
 
 class CardImage(BaseMessageComponent):
-    type: ComponentType = "CardImage"
+    type = ComponentType.CardImage
     file: str
     cache: T.Optional[bool] = True
     minwidth: T.Optional[int] = 400
@@ -703,7 +712,7 @@ class CardImage(BaseMessageComponent):
 
 
 class TTS(BaseMessageComponent):
-    type: ComponentType = "TTS"
+    type = ComponentType.TTS
     text: str
 
     def __init__(self, **_):
@@ -711,7 +720,7 @@ class TTS(BaseMessageComponent):
 
 
 class Unknown(BaseMessageComponent):
-    type: ComponentType = "Unknown"
+    type = ComponentType.Unknown
     text: str
 
     def toString(self):
@@ -723,7 +732,7 @@ class File(BaseMessageComponent):
     文件消息段
     """
 
-    type: ComponentType = "File"
+    type = ComponentType.File
     name: T.Optional[str] = ""  # 名字
     file_: T.Optional[str] = ""  # 本地路径
     url: T.Optional[str] = ""  # url
@@ -853,7 +862,7 @@ class File(BaseMessageComponent):
 
 
 class WechatEmoji(BaseMessageComponent):
-    type: ComponentType = "WechatEmoji"
+    type = ComponentType.WechatEmoji
     md5: T.Optional[str] = ""
     md5_len: T.Optional[int] = 0
     cdnurl: T.Optional[str] = ""

astrbot/core/persona_mgr.py

@@ -0,0 +1,183 @@
+from astrbot.core.db import BaseDatabase
+from astrbot.core.db.po import Persona, Personality
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
+from astrbot.core.platform.message_session import MessageSession
+from astrbot import logger
+
+DEFAULT_PERSONALITY = Personality(
+    prompt="You are a helpful and friendly assistant.",
+    name="default",
+    begin_dialogs=[],
+    mood_imitation_dialogs=[],
+    tools=None,
+    _begin_dialogs_processed=[],
+    _mood_imitation_dialogs_processed="",
+)
+
+
+class PersonaManager:
+    def __init__(self, db_helper: BaseDatabase, acm: AstrBotConfigManager):
+        self.db = db_helper
+        self.acm = acm
+        default_ps = acm.default_conf.get("provider_settings", {})
+        self.default_persona: str = default_ps.get("default_personality", "default")
+        self.personas: list[Persona] = []
+        self.selected_default_persona: Persona | None = None
+
+        self.personas_v3: list[Personality] = []
+        self.selected_default_persona_v3: Personality | None = None
+        self.persona_v3_config: list[dict] = []
+
+    async def initialize(self):
+        self.personas = await self.get_all_personas()
+        self.get_v3_persona_data()
+        logger.info(f"已加载 {len(self.personas)} 个人格。")
+
+    async def get_persona(self, persona_id: str):
+        """获取指定 persona 的信息"""
+        persona = await self.db.get_persona_by_id(persona_id)
+        if not persona:
+            raise ValueError(f"Persona with ID {persona_id} does not exist.")
+        return persona
+
+    async def get_default_persona_v3(
+        self, umo: str | MessageSession | None = None
+    ) -> Personality:
+        """获取默认 persona"""
+        cfg = self.acm.get_conf(umo)
+        default_persona_id = cfg.get("provider_settings", {}).get(
+            "default_personality", "default"
+        )
+        if not default_persona_id or default_persona_id == "default":
+            return DEFAULT_PERSONALITY
+        try:
+            return next(p for p in self.personas_v3 if p["name"] == default_persona_id)
+        except Exception:
+            return DEFAULT_PERSONALITY
+
+    async def delete_persona(self, persona_id: str):
+        """删除指定 persona"""
+        if not await self.db.get_persona_by_id(persona_id):
+            raise ValueError(f"Persona with ID {persona_id} does not exist.")
+        await self.db.delete_persona(persona_id)
+        self.personas = [p for p in self.personas if p.persona_id != persona_id]
+        self.get_v3_persona_data()
+
+    async def update_persona(
+        self,
+        persona_id: str,
+        system_prompt: str = None,
+        begin_dialogs: list[str] = None,
+        tools: list[str] = None,
+    ):
+        """更新指定 persona 的信息。tools 参数为 None 时表示使用所有工具，空列表表示不使用任何工具"""
+        existing_persona = await self.db.get_persona_by_id(persona_id)
+        if not existing_persona:
+            raise ValueError(f"Persona with ID {persona_id} does not exist.")
+        persona = await self.db.update_persona(
+            persona_id, system_prompt, begin_dialogs, tools=tools
+        )
+        if persona:
+            for i, p in enumerate(self.personas):
+                if p.persona_id == persona_id:
+                    self.personas[i] = persona
+                    break
+        self.get_v3_persona_data()
+        return persona
+
+    async def get_all_personas(self) -> list[Persona]:
+        """获取所有 personas"""
+        return await self.db.get_personas()
+
+    async def create_persona(
+        self,
+        persona_id: str,
+        system_prompt: str,
+        begin_dialogs: list[str] = None,
+        tools: list[str] = None,
+    ) -> Persona:
+        """创建新的 persona。tools 参数为 None 时表示使用所有工具，空列表表示不使用任何工具"""
+        if await self.db.get_persona_by_id(persona_id):
+            raise ValueError(f"Persona with ID {persona_id} already exists.")
+        new_persona = await self.db.insert_persona(
+            persona_id, system_prompt, begin_dialogs, tools=tools
+        )
+        self.personas.append(new_persona)
+        self.get_v3_persona_data()
+        return new_persona
+
+    def get_v3_persona_data(
+        self,
+    ) -> tuple[list[dict], list[Personality], Personality]:
+        """获取 AstrBot <4.0.0 版本的 persona 数据。
+
+        Returns:
+            - list[dict]: 包含 persona 配置的字典列表。
+            - list[Personality]: 包含 Personality 对象的列表。
+            - Personality: 默认选择的 Personality 对象。
+        """
+        v3_persona_config = [
+            {
+                "prompt": persona.system_prompt,
+                "name": persona.persona_id,
+                "begin_dialogs": persona.begin_dialogs or [],
+                "mood_imitation_dialogs": [],  # deprecated
+                "tools": persona.tools,
+            }
+            for persona in self.personas
+        ]
+
+        personas_v3: list[Personality] = []
+        selected_default_persona: Personality | None = None
+
+        for persona_cfg in v3_persona_config:
+            begin_dialogs = persona_cfg.get("begin_dialogs", [])
+            bd_processed = []
+            if begin_dialogs:
+                if len(begin_dialogs) % 2 != 0:
+                    logger.error(
+                        f"{persona_cfg['name']} 人格情景预设对话格式不对，条数应该为偶数。"
+                    )
+                    begin_dialogs = []
+                user_turn = True
+                for dialog in begin_dialogs:
+                    bd_processed.append(
+                        {
+                            "role": "user" if user_turn else "assistant",
+                            "content": dialog,
+                            "_no_save": None,  # 不持久化到 db
+                        }
+                    )
+                    user_turn = not user_turn
+
+            try:
+                persona = Personality(
+                    **persona_cfg,
+                    _begin_dialogs_processed=bd_processed,
+                    _mood_imitation_dialogs_processed="",  # deprecated
+                )
+                if persona["name"] == self.default_persona:
+                    selected_default_persona = persona
+                personas_v3.append(persona)
+            except Exception as e:
+                logger.error(f"解析 Persona 配置失败：{e}")
+
+        if not selected_default_persona and len(personas_v3) > 0:
+            # 默认选择第一个
+            selected_default_persona = personas_v3[0]
+
+        if not selected_default_persona:
+            selected_default_persona = DEFAULT_PERSONALITY
+            personas_v3.append(selected_default_persona)
+
+        self.personas_v3 = personas_v3
+        self.selected_default_persona_v3 = selected_default_persona
+        self.persona_v3_config = v3_persona_config
+        self.selected_default_persona = Persona(
+            persona_id=selected_default_persona["name"],
+            system_prompt=selected_default_persona["prompt"],
+            begin_dialogs=selected_default_persona["begin_dialogs"],
+            tools=selected_default_persona["tools"] or None,
+        )
+
+        return v3_persona_config, personas_v3, selected_default_persona

astrbot/core/pipeline/__init__.py

@@ -4,7 +4,6 @@ from astrbot.core.message.message_event_result import (
 )
 
 from .content_safety_check.stage import ContentSafetyCheckStage
-from .platform_compatibility.stage import PlatformCompatibilityStage
 from .preprocess_stage.stage import PreProcessStage
 from .process_stage.stage import ProcessStage
 from .rate_limit_check.stage import RateLimitStage
@@ -21,7 +20,6 @@ STAGES_ORDER = [
     "SessionStatusCheckStage",  # 检查会话是否整体启用
     "RateLimitStage",  # 检查会话是否超过频率限制
     "ContentSafetyCheckStage",  # 检查内容安全
-    "PlatformCompatibilityStage",  # 检查所有处理器的平台兼容性
     "PreProcessStage",  # 预处理
     "ProcessStage",  # 交由 Stars 处理（a.k.a 插件），或者 LLM 调用
     "ResultDecorateStage",  # 处理结果，比如添加回复前缀、t2i、转换为语音 等
@@ -34,7 +32,6 @@ __all__ = [
     "SessionStatusCheckStage",
     "RateLimitStage",
     "ContentSafetyCheckStage",
-    "PlatformCompatibilityStage",
     "PreProcessStage",
     "ProcessStage",
     "ResultDecorateStage",

astrbot/core/pipeline/content_safety_check/stage.py

@@ -19,7 +19,7 @@ class ContentSafetyCheckStage(Stage):
         self.strategy_selector = StrategySelector(config)
 
     async def process(
-        self, event: AstrMessageEvent, check_text: str = None
+        self, event: AstrMessageEvent, check_text: str | None = None
     ) -> Union[None, AsyncGenerator[None, None]]:
         """检查内容安全"""
         text = check_text if check_text else event.get_message_str()

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

@@ -13,7 +13,7 @@ class BaiduAipStrategy(ContentSafetyStrategy):
         self.secret_key = sk
         self.client = AipContentCensor(self.app_id, self.api_key, self.secret_key)
 
-    def check(self, content: str):
+    def check(self, content: str) -> tuple[bool, str]:
         res = self.client.textCensorUserDefined(content)
         if "conclusionType" not in res:
             return False, ""

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

@@ -16,7 +16,7 @@ class KeywordsStrategy(ContentSafetyStrategy):
         #             json.loads(base64.b64decode(f.read()).decode("utf-8"))["keywords"]
         #         )
 
-    def check(self, content: str) -> bool:
+    def check(self, content: str) -> tuple[bool, str]:
         for keyword in self.keywords:
             if re.search(keyword, content):
                 return False, "内容安全检查不通过，匹配到敏感词。"

astrbot/core/pipeline/context.py

@@ -1,14 +1,7 @@
-import inspect
-import traceback
-import typing as T
 from dataclasses import dataclass
-from astrbot.core.config.astrbot_config import AstrBotConfig
-from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.config import AstrBotConfig
 from astrbot.core.star import PluginManager
-from astrbot.api import logger
-from astrbot.core.star.star_handler import star_handlers_registry, EventType
-from astrbot.core.star.star import star_map
-from astrbot.core.message.message_event_result import MessageEventResult, CommandResult
+from .context_utils import call_handler, call_event_hook
 
 
 @dataclass
@@ -17,97 +10,6 @@ class PipelineContext:
 
     astrbot_config: AstrBotConfig  # AstrBot 配置对象
     plugin_manager: PluginManager  # 插件管理器对象
-
-    async def call_event_hook(
-        self,
-        event: AstrMessageEvent,
-        hook_type: EventType,
-        *args,
-    ) -> bool:
-        """调用事件钩子函数
-
-        Returns:
-            bool: 如果事件被终止，返回 True
-        """
-        platform_id = event.get_platform_id()
-        handlers = star_handlers_registry.get_handlers_by_event_type(
-            hook_type, platform_id=platform_id
-        )
-        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, *args)
-            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.is_stopped()
-
-    async def call_handler(
-        self,
-        event: AstrMessageEvent,
-        handler: T.Awaitable,
-        *args,
-        **kwargs,
-    ) -> T.AsyncGenerator[None, None]:
-        """执行事件处理函数并处理其返回结果
-
-        该方法负责调用处理函数并处理不同类型的返回值。它支持两种类型的处理函数:
-        1. 异步生成器: 实现洋葱模型，每次 yield 都会将控制权交回上层
-        2. 协程: 执行一次并处理返回值
-
-        Args:
-            ctx (PipelineContext): 消息管道上下文对象
-            event (AstrMessageEvent): 事件对象
-            handler (Awaitable): 事件处理函数
-
-        Returns:
-            AsyncGenerator[None, None]: 异步生成器，用于在管道中传递控制流
-        """
-        ready_to_call = None  # 一个协程或者异步生成器
-
-        trace_ = None
-
-        try:
-            ready_to_call = handler(event, *args, **kwargs)
-        except TypeError as _:
-            # 向下兼容
-            trace_ = traceback.format_exc()
-            # 以前的 handler 会额外传入一个参数, 但是 context 对象实际上在插件实例中有一份
-            ready_to_call = handler(event, self.plugin_manager.context, *args, **kwargs)
-
-        if inspect.isasyncgen(ready_to_call):
-            _has_yielded = False
-            try:
-                async for ret in ready_to_call:
-                    # 这里逐步执行异步生成器, 对于每个 yield 返回的 ret, 执行下面的代码
-                    # 返回值只能是 MessageEventResult 或者 None（无返回值）
-                    _has_yielded = True
-                    if isinstance(ret, (MessageEventResult, CommandResult)):
-                        # 如果返回值是 MessageEventResult, 设置结果并继续
-                        event.set_result(ret)
-                        yield
-                    else:
-                        # 如果返回值是 None, 则不设置结果并继续
-                        # 继续执行后续阶段
-                        yield ret
-                if not _has_yielded:
-                    # 如果这个异步生成器没有执行到 yield 分支
-                    yield
-            except Exception as e:
-                logger.error(f"Previous Error: {trace_}")
-                raise e
-        elif inspect.iscoroutine(ready_to_call):
-            # 如果只是一个协程, 直接执行
-            ret = await ready_to_call
-            if isinstance(ret, (MessageEventResult, CommandResult)):
-                event.set_result(ret)
-                yield
-            else:
-                yield ret
+    astrbot_config_id: str
+    call_handler = call_handler
+    call_event_hook = call_event_hook

astrbot/core/pipeline/context_utils.py

@@ -0,0 +1,101 @@
+import inspect
+import traceback
+import typing as T
+from astrbot import logger
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star import star_map
+from astrbot.core.message.message_event_result import MessageEventResult, CommandResult
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+
+
+async def call_handler(
+    event: AstrMessageEvent,
+    handler: T.Callable[..., T.Awaitable[T.Any]],
+    *args,
+    **kwargs,
+) -> T.AsyncGenerator[T.Any, None]:
+    """执行事件处理函数并处理其返回结果
+
+    该方法负责调用处理函数并处理不同类型的返回值。它支持两种类型的处理函数:
+    1. 异步生成器: 实现洋葱模型，每次 yield 都会将控制权交回上层
+    2. 协程: 执行一次并处理返回值
+
+    Args:
+        event (AstrMessageEvent): 事件对象
+        handler (Awaitable): 事件处理函数
+
+    Returns:
+        AsyncGenerator[None, None]: 异步生成器，用于在管道中传递控制流
+    """
+    ready_to_call = None  # 一个协程或者异步生成器
+
+    trace_ = None
+
+    try:
+        ready_to_call = handler(event, *args, **kwargs)
+    except TypeError:
+        logger.error("处理函数参数不匹配，请检查 handler 的定义。", exc_info=True)
+
+    if not ready_to_call:
+        return
+
+    if inspect.isasyncgen(ready_to_call):
+        _has_yielded = False
+        try:
+            async for ret in ready_to_call:
+                # 这里逐步执行异步生成器, 对于每个 yield 返回的 ret, 执行下面的代码
+                # 返回值只能是 MessageEventResult 或者 None（无返回值）
+                _has_yielded = True
+                if isinstance(ret, (MessageEventResult, CommandResult)):
+                    # 如果返回值是 MessageEventResult, 设置结果并继续
+                    event.set_result(ret)
+                    yield
+                else:
+                    # 如果返回值是 None, 则不设置结果并继续
+                    # 继续执行后续阶段
+                    yield ret
+            if not _has_yielded:
+                # 如果这个异步生成器没有执行到 yield 分支
+                yield
+        except Exception as e:
+            logger.error(f"Previous Error: {trace_}")
+            raise e
+    elif inspect.iscoroutine(ready_to_call):
+        # 如果只是一个协程, 直接执行
+        ret = await ready_to_call
+        if isinstance(ret, (MessageEventResult, CommandResult)):
+            event.set_result(ret)
+            yield
+        else:
+            yield ret
+
+
+async def call_event_hook(
+    event: AstrMessageEvent,
+    hook_type: EventType,
+    *args,
+    **kwargs,
+) -> bool:
+    """调用事件钩子函数
+
+    Returns:
+        bool: 如果事件被终止，返回 True
+    #"""
+    handlers = star_handlers_registry.get_handlers_by_event_type(
+        hook_type, plugins_name=event.plugins_name
+    )
+    for handler in handlers:
+        try:
+            logger.debug(
+                f"hook({hook_type.name}) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+            )
+            await handler.handler(event, *args, **kwargs)
+        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.is_stopped()

astrbot/core/pipeline/platform_compatibility/stage.py

@@ -1,56 +0,0 @@
-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.star.star import star_map
-from astrbot.core.star.star_handler import StarHandlerMetadata
-from astrbot.core import logger
-
-
-@register_stage
-class PlatformCompatibilityStage(Stage):
-    """检查所有处理器的平台兼容性。
-
-    这个阶段会检查所有处理器是否在当前平台启用，如果未启用则设置platform_compatible属性为False。
-    """
-
-    async def initialize(self, ctx: PipelineContext) -> None:
-        """初始化平台兼容性检查阶段
-
-        Args:
-            ctx (PipelineContext): 消息管道上下文对象, 包括配置和插件管理器
-        """
-        self.ctx = ctx
-
-    async def process(
-        self, event: AstrMessageEvent
-    ) -> Union[None, AsyncGenerator[None, None]]:
-        # 获取当前平台ID
-        platform_id = event.get_platform_id()
-
-        # 获取已激活的处理器
-        activated_handlers = event.get_extra("activated_handlers")
-        if activated_handlers is None:
-            activated_handlers = []
-
-        # 标记不兼容的处理器
-        for handler in activated_handlers:
-            if not isinstance(handler, StarHandlerMetadata):
-                continue
-            # 检查处理器是否在当前平台启用
-            enabled = handler.is_enabled_for_platform(platform_id)
-            if not enabled:
-                if handler.handler_module_path in star_map:
-                    plugin_name = star_map[handler.handler_module_path].name
-                logger.debug(
-                    f"[PlatformCompatibilityStage] 插件 {plugin_name} 在平台 {platform_id} 未启用，标记处理器 {handler.handler_name} 为平台不兼容"
-                )
-                # 设置处理器为平台不兼容状态
-                # TODO: 更好的标记方式
-                handler.platform_compatible = False
-            else:
-                # 确保处理器为平台兼容状态
-                handler.platform_compatible = True
-
-        # 更新已激活的处理器列表
-        event.set_extra("activated_handlers", activated_handlers)

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

@@ -7,6 +7,7 @@ import copy
 import json
 import traceback
 from typing import AsyncGenerator, Union
+from astrbot.core.conversation_mgr import Conversation
 from astrbot.core import logger
 from astrbot.core.message.components import Image
 from astrbot.core.message.message_event_result import (
@@ -20,12 +21,276 @@ from astrbot.core.provider.entities import (
     LLMResponse,
     ProviderRequest,
 )
+from astrbot.core.agent.hooks import BaseAgentRunHooks
+from astrbot.core.agent.runners.tool_loop_agent_runner import ToolLoopAgentRunner
+from astrbot.core.agent.run_context import ContextWrapper
+from astrbot.core.agent.tool import ToolSet, FunctionTool
+from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
+from astrbot.core.agent.handoff import HandoffTool
 from astrbot.core.star.session_llm_manager import SessionServiceManager
 from astrbot.core.star.star_handler import EventType
 from astrbot.core.utils.metrics import Metric
-from ...context import PipelineContext
-from ..agent_runner.tool_loop_agent import ToolLoopAgent
+from ...context import PipelineContext, call_event_hook, call_handler
 from ..stage import Stage
+from astrbot.core.provider.register import llm_tools
+from astrbot.core.star.star_handler import star_map
+from astrbot.core.astr_agent_context import AstrAgentContext
+
+try:
+    import mcp
+except (ModuleNotFoundError, ImportError):
+    logger.warning("警告: 缺少依赖库 'mcp'，将无法使用 MCP 服务。")
+
+
+AgentContextWrapper = ContextWrapper[AstrAgentContext]
+AgentRunner = ToolLoopAgentRunner[AgentContextWrapper]
+
+
+class FunctionToolExecutor(BaseFunctionToolExecutor[AstrAgentContext]):
+    @classmethod
+    async def execute(cls, tool, run_context, **tool_args):
+        """执行函数调用。
+
+        Args:
+            event (AstrMessageEvent): 事件对象, 当 origin 为 local 时必须提供。
+            **kwargs: 函数调用的参数。
+
+        Returns:
+            AsyncGenerator[None | mcp.types.CallToolResult, None]
+        """
+        if isinstance(tool, HandoffTool):
+            async for r in cls._execute_handoff(tool, run_context, **tool_args):
+                yield r
+            return
+
+        if tool.origin == "local":
+            async for r in cls._execute_local(tool, run_context, **tool_args):
+                yield r
+            return
+
+        elif tool.origin == "mcp":
+            async for r in cls._execute_mcp(tool, run_context, **tool_args):
+                yield r
+            return
+
+        raise Exception(f"Unknown function origin: {tool.origin}")
+
+    @classmethod
+    async def _execute_handoff(
+        cls,
+        tool: HandoffTool,
+        run_context: ContextWrapper[AstrAgentContext],
+        **tool_args,
+    ):
+        input_ = tool_args.get("input", "agent")
+        agent_runner = AgentRunner()
+
+        # make toolset for the agent
+        tools = tool.agent.tools
+        if tools:
+            toolset = ToolSet()
+            for t in tools:
+                if isinstance(t, str):
+                    _t = llm_tools.get_func(t)
+                    if _t:
+                        toolset.add_tool(_t)
+                elif isinstance(t, FunctionTool):
+                    toolset.add_tool(t)
+        else:
+            toolset = None
+
+        request = ProviderRequest(
+            prompt=input_,
+            system_prompt=tool.description,
+            image_urls=[],  # 暂时不传递原始 agent 的上下文
+            contexts=[],  # 暂时不传递原始 agent 的上下文
+            func_tool=toolset,
+        )
+        astr_agent_ctx = AstrAgentContext(
+            provider=run_context.context.provider,
+            first_provider_request=run_context.context.first_provider_request,
+            curr_provider_request=request,
+            streaming=run_context.context.streaming,
+        )
+
+        logger.debug(f"正在将任务委托给 Agent: {tool.agent.name}, input: {input_}")
+        await run_context.event.send(
+            MessageChain().message("✨ 正在将任务委托给 Agent: " + tool.agent.name)
+        )
+
+        await agent_runner.reset(
+            provider=run_context.context.provider,
+            request=request,
+            run_context=AgentContextWrapper(
+                context=astr_agent_ctx, event=run_context.event
+            ),
+            tool_executor=FunctionToolExecutor(),
+            agent_hooks=tool.agent.run_hooks or BaseAgentRunHooks[AstrAgentContext](),
+            streaming=run_context.context.streaming,
+        )
+
+        async for _ in run_agent(agent_runner, 15, True):
+            pass
+
+        if agent_runner.done():
+            llm_response = agent_runner.get_final_llm_resp()
+
+            if not llm_response:
+                text_content = mcp.types.TextContent(
+                    type="text",
+                    text=f"error when deligate task to {tool.agent.name}",
+                )
+                yield mcp.types.CallToolResult(content=[text_content])
+                return
+
+            logger.debug(
+                f"Agent  {tool.agent.name} 任务完成, response: {llm_response.completion_text}"
+            )
+
+            result = (
+                f"Agent {tool.agent.name} respond with: {llm_response.completion_text}\n\n"
+                "Note: If the result is error or need user provide more information, please provide more information to the agent(you can ask user for more information first)."
+            )
+
+            text_content = mcp.types.TextContent(
+                type="text",
+                text=result,
+            )
+            yield mcp.types.CallToolResult(content=[text_content])
+        else:
+            text_content = mcp.types.TextContent(
+                type="text",
+                text=f"error when deligate task to {tool.agent.name}",
+            )
+            yield mcp.types.CallToolResult(content=[text_content])
+        return
+
+    @classmethod
+    async def _execute_local(
+        cls,
+        tool: FunctionTool,
+        run_context: ContextWrapper[AstrAgentContext],
+        **tool_args,
+    ):
+        if not run_context.event:
+            raise ValueError("Event must be provided for local function tools.")
+
+        # 检查 tool 下有没有 run 方法
+        if not tool.handler and not hasattr(tool, "run"):
+            raise ValueError("Tool must have a valid handler or 'run' method.")
+        awaitable = tool.handler or getattr(tool, "run")
+
+        wrapper = call_handler(
+            event=run_context.event,
+            handler=awaitable,
+            **tool_args,
+        )
+        async for resp in wrapper:
+            if resp is not None:
+                if isinstance(resp, mcp.types.CallToolResult):
+                    yield resp
+                else:
+                    text_content = mcp.types.TextContent(
+                        type="text",
+                        text=str(resp),
+                    )
+                    yield mcp.types.CallToolResult(content=[text_content])
+            else:
+                # NOTE: Tool 在这里直接请求发送消息给用户
+                # TODO: 是否需要判断 event.get_result() 是否为空?
+                # 如果为空,则说明没有发送消息给用户,并且返回值为空,将返回一个特殊的 TextContent,其内容如"工具没有返回内容"
+                yield None
+
+    @classmethod
+    async def _execute_mcp(
+        cls,
+        tool: FunctionTool,
+        run_context: ContextWrapper[AstrAgentContext],
+        **tool_args,
+    ):
+        if not tool.mcp_client:
+            raise ValueError("MCP client is not available for MCP function tools.")
+
+        session = tool.mcp_client.session
+        if not session:
+            raise ValueError("MCP session is not available for MCP function tools.")
+        res = await session.call_tool(
+            name=tool.name,
+            arguments=tool_args,
+        )
+        if not res:
+            return
+        yield res
+
+
+class MainAgentHooks(BaseAgentRunHooks[AgentContextWrapper]):
+    async def on_agent_done(self, run_context, llm_response):
+        # 执行事件钩子
+        await call_event_hook(
+            run_context.event, EventType.OnLLMResponseEvent, llm_response
+        )
+
+
+MAIN_AGENT_HOOKS = MainAgentHooks()
+
+
+async def run_agent(
+    agent_runner: AgentRunner, max_step: int = 30, show_tool_use: bool = True
+) -> AsyncGenerator[MessageChain, None]:
+    step_idx = 0
+    astr_event = agent_runner.run_context.event
+    while step_idx < max_step:
+        step_idx += 1
+        try:
+            async for resp in agent_runner.step():
+                if astr_event.is_stopped():
+                    return
+                if resp.type == "tool_call_result":
+                    msg_chain = resp.data["chain"]
+                    if msg_chain.type == "tool_direct_result":
+                        # tool_direct_result 用于标记 llm tool 需要直接发送给用户的内容
+                        resp.data["chain"].type = "tool_call_result"
+                        await astr_event.send(resp.data["chain"])
+                        continue
+                    # 对于其他情况，暂时先不处理
+                    continue
+                elif resp.type == "tool_call":
+                    if agent_runner.streaming:
+                        # 用来标记流式响应需要分节
+                        yield MessageChain(chain=[], type="break")
+                    if show_tool_use or astr_event.get_platform_name() == "webchat":
+                        resp.data["chain"].type = "tool_call"
+                        await astr_event.send(resp.data["chain"])
+                    continue
+
+                if not agent_runner.streaming:
+                    content_typ = (
+                        ResultContentType.LLM_RESULT
+                        if resp.type == "llm_result"
+                        else ResultContentType.GENERAL_RESULT
+                    )
+                    astr_event.set_result(
+                        MessageEventResult(
+                            chain=resp.data["chain"].chain,
+                            result_content_type=content_typ,
+                        )
+                    )
+                    yield
+                    astr_event.clear_result()
+                else:
+                    if resp.type == "streaming_delta":
+                        yield resp.data["chain"]  # MessageChain
+            if agent_runner.done():
+                break
+
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            err_msg = f"\n\nAstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {str(e)}\n\n请在控制台查看和分享错误详情。\n"
+            if agent_runner.streaming:
+                yield MessageChain().message(err_msg)
+            else:
+                astr_event.set_result(MessageEventResult().message(err_msg))
+            return
 
 
 class LLMRequestSubStage(Stage):
@@ -41,7 +306,9 @@ class LLMRequestSubStage(Stage):
             self.max_context_length - 1,
         )
         self.streaming_response: bool = settings["streaming_response"]
-        self.max_step: int = settings.get("max_agent_step", 10)
+        self.max_step: int = settings.get("max_agent_step", 30)
+        if isinstance(self.max_step, bool):  # workaround: #2622
+            self.max_step = 30
         self.show_tool_use: bool = settings.get("show_tool_use_status", True)
 
         for bwp in self.bot_wake_prefixs:
@@ -65,6 +332,22 @@ class LLMRequestSubStage(Stage):
 
         return _ctx.get_using_provider(umo=event.unified_msg_origin)
 
+    async def _get_session_conv(self, event: AstrMessageEvent) -> Conversation:
+        umo = event.unified_msg_origin
+        conv_mgr = self.conv_manager
+
+        # 获取对话上下文
+        cid = await conv_mgr.get_curr_conversation_id(umo)
+        if not cid:
+            cid = await conv_mgr.new_conversation(umo, event.get_platform_id())
+        conversation = await conv_mgr.get_conversation(umo, cid)
+        if not conversation:
+            cid = await conv_mgr.new_conversation(umo, event.get_platform_id())
+            conversation = await conv_mgr.get_conversation(umo, cid)
+        if not conversation:
+            raise RuntimeError("无法创建新的对话。")
+        return conversation
+
     async def process(
         self, event: AstrMessageEvent, _nested: bool = False
     ) -> Union[None, AsyncGenerator[None, None]]:
@@ -100,30 +383,14 @@ class LLMRequestSubStage(Stage):
                 if not event.message_str.startswith(self.provider_wake_prefix):
                     return
             req.prompt = event.message_str[len(self.provider_wake_prefix) :]
-            req.func_tool = self.ctx.plugin_manager.context.get_llm_tool_manager()
+            # func_tool selection 现在已经转移到 packages/astrbot 插件中进行选择。
+            # req.func_tool = self.ctx.plugin_manager.context.get_llm_tool_manager()
             for comp in event.message_obj.message:
                 if isinstance(comp, Image):
                     image_path = await comp.convert_to_file_path()
                     req.image_urls.append(image_path)
 
-            # 获取对话上下文
-            conversation_id = await self.conv_manager.get_curr_conversation_id(
-                event.unified_msg_origin
-            )
-            if not conversation_id:
-                conversation_id = await self.conv_manager.new_conversation(
-                    event.unified_msg_origin
-                )
-            conversation = await self.conv_manager.get_conversation(
-                event.unified_msg_origin, conversation_id
-            )
-            if not conversation:
-                conversation_id = await self.conv_manager.new_conversation(
-                    event.unified_msg_origin
-                )
-                conversation = await self.conv_manager.get_conversation(
-                    event.unified_msg_origin, conversation_id
-                )
+            conversation = await self._get_session_conv(event)
             req.conversation = conversation
             req.contexts = json.loads(conversation.history)
 
@@ -133,7 +400,7 @@ class LLMRequestSubStage(Stage):
             return
 
         # 执行请求 LLM 前事件钩子。
-        if await self.ctx.call_event_hook(event, EventType.OnLLMRequestEvent, req):
+        if await call_event_hook(event, EventType.OnLLMRequestEvent, req):
             return
 
         if isinstance(req.contexts, str):
@@ -167,92 +434,67 @@ class LLMRequestSubStage(Stage):
         # fix messages
         req.contexts = self.fix_messages(req.contexts)
 
-        # Call Agent
-        tool_loop_agent = ToolLoopAgent(
-            provider=provider,
-            event=event,
-            pipeline_ctx=self.ctx,
-        )
+        # check provider modalities
+        # 如果提供商不支持图像/工具使用，但请求中包含图像/工具列表，则清空。图片转述等的检测和调用发生在这之前，因此这里可以这样处理。
+        if req.image_urls:
+            provider_cfg = provider.provider_config.get("modalities", ["image"])
+            if "image" not in provider_cfg:
+                logger.debug(f"用户设置提供商 {provider} 不支持图像，清空图像列表。")
+                req.image_urls = []
+        if req.func_tool:
+            provider_cfg = provider.provider_config.get("modalities", ["tool_use"])
+            # 如果模型不支持工具使用，但请求中包含工具列表，则清空。
+            if "tool_use" not in provider_cfg:
+                logger.debug(
+                    f"用户设置提供商 {provider} 不支持工具使用，清空工具列表。"
+                )
+                req.func_tool = None
+        # 插件可用性设置
+        if event.plugins_name is not None and req.func_tool:
+            new_tool_set = ToolSet()
+            for tool in req.func_tool.tools:
+                mp = tool.handler_module_path
+                if not mp:
+                    continue
+                plugin = star_map.get(mp)
+                if not plugin:
+                    continue
+                if plugin.name in event.plugins_name or plugin.reserved:
+                    new_tool_set.add_tool(tool)
+            req.func_tool = new_tool_set
+
+        # run agent
+        agent_runner = AgentRunner()
         logger.debug(
             f"handle provider[id: {provider.provider_config['id']}] request: {req}"
         )
-        await tool_loop_agent.reset(req=req, streaming=self.streaming_response)
-
-        async def requesting():
-            step_idx = 0
-            while step_idx < self.max_step:
-                step_idx += 1
-                try:
-                    async for resp in tool_loop_agent.step():
-                        if event.is_stopped():
-                            return
-                        if resp.type == "tool_call_result":
-                            msg_chain = resp.data["chain"]
-                            if msg_chain.type == "tool_direct_result":
-                                # tool_direct_result 用于标记 llm tool 需要直接发送给用户的内容
-                                resp.data["chain"].type = "tool_call_result"
-                                await event.send(resp.data["chain"])
-                                continue
-                            # 对于其他情况，暂时先不处理
-                            continue
-                        elif resp.type == "tool_call":
-                            if self.streaming_response:
-                                # 用来标记流式响应需要分节
-                                yield MessageChain(chain=[], type="break")
-                            if (
-                                self.show_tool_use
-                                or event.get_platform_name() == "webchat"
-                            ):
-                                resp.data["chain"].type = "tool_call"
-                                await event.send(resp.data["chain"])
-                            continue
-
-                        if not self.streaming_response:
-                            content_typ = (
-                                ResultContentType.LLM_RESULT
-                                if resp.type == "llm_result"
-                                else ResultContentType.GENERAL_RESULT
-                            )
-                            event.set_result(
-                                MessageEventResult(
-                                    chain=resp.data["chain"].chain,
-                                    result_content_type=content_typ,
-                                )
-                            )
-                            yield
-                            event.clear_result()
-                        else:
-                            if resp.type == "streaming_delta":
-                                yield resp.data["chain"]  # MessageChain
-                    if tool_loop_agent.done():
-                        break
-
-                except Exception 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)}\n\n请在控制台查看和分享错误详情。\n"
-                        )
-                    )
-                    return
-                asyncio.create_task(
-                    Metric.upload(
-                        llm_tick=1,
-                        model_name=provider.get_model(),
-                        provider_type=provider.meta().type,
-                    )
-                )
+        astr_agent_ctx = AstrAgentContext(
+            provider=provider,
+            first_provider_request=req,
+            curr_provider_request=req,
+            streaming=self.streaming_response,
+        )
+        await agent_runner.reset(
+            provider=provider,
+            request=req,
+            run_context=AgentContextWrapper(context=astr_agent_ctx, event=event),
+            tool_executor=FunctionToolExecutor(),
+            agent_hooks=MAIN_AGENT_HOOKS,
+            streaming=self.streaming_response,
+        )
 
         if self.streaming_response:
             # 流式响应
             event.set_result(
                 MessageEventResult()
                 .set_result_content_type(ResultContentType.STREAMING_RESULT)
-                .set_async_stream(requesting())
+                .set_async_stream(
+                    run_agent(agent_runner, self.max_step, self.show_tool_use)
+                )
             )
             yield
-            if tool_loop_agent.done():
-                if final_llm_resp := tool_loop_agent.get_final_llm_resp():
+            if agent_runner.done():
+                if final_llm_resp := agent_runner.get_final_llm_resp():
                     if final_llm_resp.completion_text:
                         chain = (
                             MessageChain().message(final_llm_resp.completion_text).chain
@@ -266,14 +508,22 @@ class LLMRequestSubStage(Stage):
                         )
                     )
         else:
-            async for _ in requesting():
+            async for _ in run_agent(agent_runner, self.max_step, self.show_tool_use):
                 yield
 
+        await self._save_to_history(event, req, agent_runner.get_final_llm_resp())
+
         # 异步处理 WebChat 特殊情况
         if event.get_platform_name() == "webchat":
             asyncio.create_task(self._handle_webchat(event, req, provider))
 
-        await self._save_to_history(event, req, tool_loop_agent.get_final_llm_resp())
+        asyncio.create_task(
+            Metric.upload(
+                llm_tick=1,
+                model_name=agent_runner.provider.get_model(),
+                provider_type=agent_runner.provider.meta().type,
+            )
+        )
 
     async def _handle_webchat(
         self, event: AstrMessageEvent, req: ProviderRequest, prov: Provider
@@ -287,7 +537,23 @@ class LLMRequestSubStage(Stage):
             latest_pair = messages[-2:]
             if not latest_pair:
                 return
-            cleaned_text = "User: " + latest_pair[0].get("content", "").strip()
+            content = latest_pair[0].get("content", "")
+            if isinstance(content, list):
+                # 多模态
+                text_parts = []
+                for item in content:
+                    if isinstance(item, dict):
+                        if item.get("type") == "text":
+                            text_parts.append(item.get("text", ""))
+                        elif item.get("type") == "image":
+                            text_parts.append("[图片]")
+                    elif isinstance(item, str):
+                        text_parts.append(item)
+                cleaned_text = "User: " + " ".join(text_parts).strip()
+            elif isinstance(content, str):
+                cleaned_text = "User: " + content.strip()
+            else:
+                return
             logger.debug(f"WebChat 对话标题生成请求，清理后的文本: {cleaned_text}")
             llm_resp = await prov.text_chat(
                 system_prompt="You are expert in summarizing user's query.",
@@ -307,19 +573,10 @@ class LLMRequestSubStage(Stage):
                 if not title or "<None>" in title:
                     return
                 await self.conv_manager.update_conversation_title(
-                    event.unified_msg_origin, title=title
+                    unified_msg_origin=event.unified_msg_origin,
+                    title=title,
+                    conversation_id=req.conversation.cid,
                 )
-                # 由于 WebChat 平台特殊性，其有两个对话，因此我们要更新两个对话的标题
-                # webchat adapter 中，session_id 的格式是 f"webchat!{username}!{cid}"
-                # TODO: 优化 WebChat 适配器的对话管理
-                if event.session_id:
-                    username, cid = event.session_id.split("!")[1:3]
-                    db_helper = self.ctx.plugin_manager.context._db
-                    db_helper.update_conversation_title(
-                        user_id=username,
-                        cid=cid,
-                        title=title,
-                    )
 
     async def _save_to_history(
         self,
@@ -335,6 +592,10 @@ class LLMRequestSubStage(Stage):
         ):
             return
 
+        if not llm_response.completion_text and not req.tool_calls_result:
+            logger.debug("LLM 响应为空，不保存记录。")
+            return
+
         # 历史上下文
         messages = copy.deepcopy(req.contexts)
         # 这一轮对话请求的用户输入

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

@@ -2,7 +2,7 @@
 本地 Agent 模式的 AstrBot 插件调用 Stage
 """
 
-from ...context import PipelineContext
+from ...context import PipelineContext, call_handler
 from ..stage import Stage
 from typing import Dict, Any, List, AsyncGenerator, Union
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
@@ -33,24 +33,16 @@ class StarRequestSubStage(Stage):
             handlers_parsed_params = {}
 
         for handler in activated_handlers:
-            # 检查处理器是否在当前平台兼容
-            if (
-                hasattr(handler, "platform_compatible")
-                and handler.platform_compatible is False
-            ):
-                logger.debug(
-                    f"处理器 {handler.handler_name} 在当前平台不兼容，跳过执行"
+            params = handlers_parsed_params.get(handler.handler_full_name, {})
+            md = star_map.get(handler.handler_module_path)
+            if not md:
+                logger.warning(
+                    f"Cannot find plugin for given handler module path: {handler.handler_module_path}"
                 )
                 continue
-
-            params = handlers_parsed_params.get(handler.handler_full_name, {})
+            logger.debug(f"plugin -> {md.name} - {handler.handler_name}")
             try:
-                if handler.handler_module_path not in star_map:
-                    continue
-                logger.debug(
-                    f"plugin -> {star_map.get(handler.handler_module_path).name} - {handler.handler_name}"
-                )
-                wrapper = self.ctx.call_handler(event, handler.handler, **params)
+                wrapper = call_handler(event, handler.handler, **params)
                 async for ret in wrapper:
                     yield ret
                 event.clear_result()  # 清除上一个 handler 的结果
@@ -59,7 +51,7 @@ class StarRequestSubStage(Stage):
                 logger.error(f"Star {handler.handler_full_name} handle error: {e}")
 
                 if event.is_at_or_wake_command:
-                    ret = f":(\n\n在调用插件 {star_map.get(handler.handler_module_path).name} 的处理函数 {handler.handler_name} 时出现异常：{e}"
+                    ret = f":(\n\n在调用插件 {md.name} 的处理函数 {handler.handler_name} 时出现异常：{e}"
                     event.set_result(MessageEventResult().message(ret))
                     yield
                     event.clear_result()

astrbot/core/pipeline/respond/stage.py

@@ -1,17 +1,15 @@
 import random
 import asyncio
 import math
-import traceback
 import astrbot.core.message.components as Comp
 from typing import Union, AsyncGenerator
 from ..stage import register_stage, Stage
-from ..context import PipelineContext
+from ..context import PipelineContext, call_event_hook
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.message.message_event_result import MessageChain, ResultContentType
 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 BaseMessageComponent, ComponentType
+from astrbot.core.star.star_handler import EventType
 from astrbot.core.utils.path_util import path_Mapping
 from astrbot.core.utils.session_lock import session_lock_manager
 
@@ -114,6 +112,43 @@ class RespondStage(Stage):
         # 如果所有组件都为空
         return True
 
+    def is_seg_reply_required(self, event: AstrMessageEvent) -> bool:
+        """检查是否需要分段回复"""
+        if not self.enable_seg:
+            return False
+
+        if self.only_llm_result and not event.get_result().is_llm_result():
+            return False
+
+        if event.get_platform_name() in [
+            "qq_official",
+            "weixin_official_account",
+            "dingtalk",
+        ]:
+            return False
+
+        return True
+
+    def _extract_comp(
+        self,
+        raw_chain: list[BaseMessageComponent],
+        extract_types: set[ComponentType],
+        modify_raw_chain: bool = True,
+    ):
+        extracted = []
+        if modify_raw_chain:
+            remaining = []
+            for comp in raw_chain:
+                if comp.type in extract_types:
+                    extracted.append(comp)
+                else:
+                    remaining.append(comp)
+            raw_chain[:] = remaining
+        else:
+            extracted = [comp for comp in raw_chain if comp.type in extract_types]
+
+        return extracted
+
     async def process(
         self, event: AstrMessageEvent
     ) -> Union[None, AsyncGenerator[None, None]]:
@@ -123,12 +158,19 @@ class RespondStage(Stage):
         if result.result_content_type == ResultContentType.STREAMING_FINISH:
             return
 
+        logger.info(
+            f"Prepare to send - {event.get_sender_name()}/{event.get_sender_id()}: {event._outline_chain(result.chain)}"
+        )
+
         if result.result_content_type == ResultContentType.STREAMING_RESULT:
+            if result.async_stream is None:
+                logger.warning("async_stream 为空，跳过发送。")
+                return
             # 流式结果直接交付平台适配器处理
             use_fallback = self.config.get("provider_settings", {}).get(
                 "streaming_segmented", False
             )
-            logger.info(f"应用流式输出({event.get_platform_name()})")
+            logger.info(f"应用流式输出({event.get_platform_id()})")
             await event.send_streaming(result.async_stream, use_fallback)
             return
         elif len(result.chain) > 0:
@@ -144,93 +186,75 @@ class RespondStage(Stage):
             try:
                 if await self._is_empty_message_chain(result.chain):
                     logger.info("消息为空，跳过发送阶段")
-                    event.clear_result()
-                    event.stop_event()
                     return
             except Exception as e:
                 logger.warning(f"空内容检查异常: {e}")
 
-            record_comps = [c for c in result.chain if isinstance(c, Comp.Record)]
-            non_record_comps = [
-                c for c in result.chain if not isinstance(c, Comp.Record)
-            ]
-
-            if (
-                self.enable_seg
-                and (
-                    (self.only_llm_result and result.is_llm_result())
-                    or not self.only_llm_result
+            # 发送消息链
+            # Record 需要强制单独发送
+            need_separately = {ComponentType.Record}
+            if self.is_seg_reply_required(event):
+                header_comps = self._extract_comp(
+                    result.chain,
+                    {ComponentType.Reply, ComponentType.At},
+                    modify_raw_chain=True,
                 )
-                and event.get_platform_name()
-                not in ["qq_official", "weixin_official_account", "dingtalk"]
-            ):
-                decorated_comps = []
-                if self.reply_with_mention:
-                    for comp in result.chain:
-                        if isinstance(comp, Comp.At):
-                            decorated_comps.append(comp)
-                            result.chain.remove(comp)
-                            break
-                if self.reply_with_quote:
-                    for comp in result.chain:
-                        if isinstance(comp, Comp.Reply):
-                            decorated_comps.append(comp)
-                            result.chain.remove(comp)
-                            break
-
-                # leverage lock to guarentee the order of message sending among different events
+                if not result.chain or len(result.chain) == 0:
+                    # may fix #2670
+                    logger.warning(
+                        f"实际消息链为空, 跳过发送阶段。header_chain: {header_comps}, actual_chain: {result.chain}"
+                    )
+                    return
                 async with session_lock_manager.acquire_lock(event.unified_msg_origin):
-                    for rcomp in record_comps:
-                        i = await self._calc_comp_interval(rcomp)
-                        await asyncio.sleep(i)
-                        try:
-                            await event.send(MessageChain([rcomp]))
-                        except Exception as e:
-                            logger.error(f"发送消息失败: {e} chain: {result.chain}")
-                            break
-                    # 分段回复
-                    for comp in non_record_comps:
+                    for comp in result.chain:
                         i = await self._calc_comp_interval(comp)
                         await asyncio.sleep(i)
                         try:
-                            await event.send(MessageChain([*decorated_comps, comp]))
-                            decorated_comps = []  # 清空已发送的装饰组件
+                            if comp.type in need_separately:
+                                await event.send(MessageChain([comp]))
+                            else:
+                                await event.send(MessageChain([*header_comps, comp]))
+                                header_comps.clear()
                         except Exception as e:
-                            logger.error(f"发送消息失败: {e} chain: {result.chain}")
-                            break
+                            logger.error(
+                                f"发送消息链失败: chain = {MessageChain([comp])}, error = {e}",
+                                exc_info=True,
+                            )
             else:
-                for rcomp in record_comps:
+                if all(
+                    comp.type in {ComponentType.Reply, ComponentType.At}
+                    for comp in result.chain
+                ):
+                    # may fix #2670
+                    logger.warning(
+                        f"消息链全为 Reply 和 At 消息段, 跳过发送阶段。chain: {result.chain}"
+                    )
+                    return
+                sep_comps = self._extract_comp(
+                    result.chain,
+                    need_separately,
+                    modify_raw_chain=True,
+                )
+                for comp in sep_comps:
+                    chain = MessageChain([comp])
                     try:
-                        await event.send(MessageChain([rcomp]))
+                        await event.send(chain)
                     except Exception as e:
-                        logger.error(f"发送消息失败: {e} chain: {result.chain}")
+                        logger.error(
+                            f"发送消息链失败: chain = {chain}, error = {e}",
+                            exc_info=True,
+                        )
+                chain = MessageChain(result.chain)
+                if result.chain and len(result.chain) > 0:
+                    try:
+                        await event.send(chain)
+                    except Exception as e:
+                        logger.error(
+                            f"发送消息链失败: chain = {chain}, error = {e}",
+                            exc_info=True,
+                        )
 
-                try:
-                    await event.send(MessageChain(non_record_comps))
-                except Exception as e:
-                    logger.error(traceback.format_exc())
-                    logger.error(f"发送消息失败: {e} chain: {result.chain}")
-
-            logger.info(
-                f"AstrBot -> {event.get_sender_name()}/{event.get_sender_id()}: {event._outline_chain(result.chain)}"
-            )
-
-        handlers = star_handlers_registry.get_handlers_by_event_type(
-            EventType.OnAfterMessageSentEvent, platform_id=event.get_platform_id()
-        )
-        for handler in handlers:
-            try:
-                logger.debug(
-                    f"hook(on_after_message_sent) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
-                )
-                await handler.handler(event)
-            except BaseException:
-                logger.error(traceback.format_exc())
-
-            if event.is_stopped():
-                logger.info(
-                    f"{star_map[handler.handler_module_path].name} - {handler.handler_name} 终止了事件传播。"
-                )
-                return
+        if await call_event_hook(event, EventType.OnAfterMessageSentEvent):
+            return
 
         event.clear_result()

astrbot/core/pipeline/result_decorate/stage.py

@@ -36,6 +36,7 @@ class ResultDecorateStage(Stage):
             self.t2i_word_threshold = 150
         self.t2i_strategy = ctx.astrbot_config["t2i_strategy"]
         self.t2i_use_network = self.t2i_strategy == "remote"
+        self.t2i_active_template = ctx.astrbot_config["t2i_active_template"]
 
         self.forward_threshold = ctx.astrbot_config["platform_settings"][
             "forward_threshold"
@@ -64,9 +65,10 @@ class ResultDecorateStage(Stage):
         ]
         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
+            for stage_cls in registered_stages:
+                if stage_cls.__name__ == "ContentSafetyCheckStage":
+                    self.content_safe_check_stage = stage_cls()
+                    await self.content_safe_check_stage.initialize(ctx)
 
     async def process(
         self, event: AstrMessageEvent
@@ -98,7 +100,7 @@ class ResultDecorateStage(Stage):
 
         # 发送消息前事件钩子
         handlers = star_handlers_registry.get_handlers_by_event_type(
-            EventType.OnDecoratingResultEvent, platform_id=event.get_platform_id()
+            EventType.OnDecoratingResultEvent, plugins_name=event.plugins_name
         )
         for handler in handlers:
             try:
@@ -246,7 +248,10 @@ class ResultDecorateStage(Stage):
                     render_start = time.time()
                     try:
                         url = await html_renderer.render_t2i(
-                            plain_str, return_url=True, use_network=self.t2i_use_network
+                            plain_str,
+                            return_url=True,
+                            use_network=self.t2i_use_network,
+                            template_name=self.t2i_active_template,
                         )
                     except BaseException:
                         logger.error("文本转图片失败，使用文本发送。")

astrbot/core/pipeline/scheduler.py

@@ -11,16 +11,17 @@ class PipelineScheduler:
 
     def __init__(self, context: PipelineContext):
         registered_stages.sort(
-            key=lambda x: STAGES_ORDER.index(x.__class__.__name__)
+            key=lambda x: STAGES_ORDER.index(x.__name__)
         )  # 按照顺序排序
         self.ctx = context  # 上下文对象
+        self.stages = []  # 存储阶段实例
 
     async def initialize(self):
         """初始化管道调度器时, 初始化所有阶段"""
-        for stage in registered_stages:
-            # logger.debug(f"初始化阶段 {stage.__class__ .__name__}")
-
-            await stage.initialize(self.ctx)
+        for stage_cls in registered_stages:
+            stage_instance = stage_cls()  # 创建实例
+            await stage_instance.initialize(self.ctx)
+            self.stages.append(stage_instance)
 
     async def _process_stages(self, event: AstrMessageEvent, from_stage=0):
         """依次执行各个阶段
@@ -29,9 +30,9 @@ class PipelineScheduler:
             event (AstrMessageEvent): 事件对象
             from_stage (int): 从第几个阶段开始执行, 默认从0开始
         """
-        for i in range(from_stage, len(registered_stages)):
-            stage = registered_stages[i]  # 获取当前要执行的阶段
-            # logger.debug(f"执行阶段 {stage.__class__ .__name__}")
+        for i in range(from_stage, len(self.stages)):
+            stage = self.stages[i]  # 获取当前要执行的阶段
+            # logger.debug(f"执行阶段 {stage.__class__.__name__}")
             coroutine = stage.process(
                 event
             )  # 调用阶段的process方法, 返回协程或者异步生成器

astrbot/core/pipeline/session_status_check/stage.py

@@ -11,7 +11,8 @@ class SessionStatusCheckStage(Stage):
     """检查会话是否整体启用"""
 
     async def initialize(self, ctx: PipelineContext) -> None:
-        pass
+        self.ctx = ctx
+        self.conv_mgr = ctx.plugin_manager.context.conversation_manager
 
     async def process(
         self, event: AstrMessageEvent
@@ -19,4 +20,14 @@ class SessionStatusCheckStage(Stage):
         # 检查会话是否整体启用
         if not SessionServiceManager.is_session_enabled(event.unified_msg_origin):
             logger.debug(f"会话 {event.unified_msg_origin} 已被关闭，已终止事件传播。")
+
+            # workaround for #2309
+            conv_id = await self.conv_mgr.get_curr_conversation_id(
+                event.unified_msg_origin
+            )
+            if not conv_id:
+                await self.conv_mgr.new_conversation(
+                    event.unified_msg_origin, platform_id=event.get_platform_id()
+                )
+
             event.stop_event()

astrbot/core/pipeline/stage.py

@@ -1,15 +1,15 @@
 from __future__ import annotations
 import abc
-from typing import List, AsyncGenerator, Union
+from typing import List, AsyncGenerator, Union, Type
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from .context import PipelineContext
 
-registered_stages: List[Stage] = []  # 维护了所有已注册的 Stage 实现类
+registered_stages: List[Type[Stage]] = []  # 维护了所有已注册的 Stage 实现类类型
 
 
 def register_stage(cls):
     """一个简单的装饰器，用于注册 pipeline 包下的 Stage 实现类"""
-    registered_stages.append(cls())
+    registered_stages.append(cls)
     return cls
 
 

astrbot/core/pipeline/waking_check/stage.py

@@ -5,6 +5,7 @@ from astrbot.core.message.components import At, AtAll, Reply
 from astrbot.core.message.message_event_result import MessageChain, MessageEventResult
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.star.filter.permission import PermissionTypeFilter
+from astrbot.core.star.filter.command_group import CommandGroupFilter
 from astrbot.core.star.session_plugin_manager import SessionPluginManager
 from astrbot.core.star.star import star_map
 from astrbot.core.star.star_handler import EventType, star_handlers_registry
@@ -112,8 +113,17 @@ class WakingCheckStage(Stage):
         activated_handlers = []
         handlers_parsed_params = {}  # 注册了指令的 handler
 
+        # 将 plugins_name 设置到 event 中
+        enabled_plugins_name = self.ctx.astrbot_config.get("plugin_set", ["*"])
+        if enabled_plugins_name == ["*"]:
+            # 如果是 *，则表示所有插件都启用
+            event.plugins_name = None
+        else:
+            event.plugins_name = enabled_plugins_name
+        logger.debug(f"enabled_plugins_name: {enabled_plugins_name}")
+
         for handler in star_handlers_registry.get_handlers_by_event_type(
-            EventType.AdapterMessageEvent
+            EventType.AdapterMessageEvent, plugins_name=event.plugins_name
         ):
             # filter 需满足 AND 逻辑关系
             passed = True
@@ -161,11 +171,15 @@ class WakingCheckStage(Stage):
                 is_wake = True
                 event.is_wake = True
 
-                activated_handlers.append(handler)
-                if "parsed_params" in event.get_extra():
-                    handlers_parsed_params[handler.handler_full_name] = event.get_extra(
-                        "parsed_params"
-                    )
+                is_group_cmd_handler = any(
+                    isinstance(f, CommandGroupFilter) for f in handler.event_filters
+                )
+                if not is_group_cmd_handler:
+                    activated_handlers.append(handler)
+                    if "parsed_params" in event.get_extra(default={}):
+                        handlers_parsed_params[handler.handler_full_name] = (
+                            event.get_extra("parsed_params")
+                        )
 
             event._extras.pop("parsed_params", None)
 

astrbot/core/platform/astr_message_event.py

@@ -3,9 +3,10 @@ import asyncio
 import re
 import hashlib
 import uuid
-from dataclasses import dataclass
-from typing import List, Union, Optional, AsyncGenerator
 
+from typing import List, Union, Optional, AsyncGenerator, TypeVar, Any
+
+from astrbot import logger
 from astrbot.core.db.po import Conversation
 from astrbot.core.message.components import (
     Plain,
@@ -23,21 +24,9 @@ from astrbot.core.provider.entities import ProviderRequest
 from astrbot.core.utils.metrics import Metric
 from .astrbot_message import AstrBotMessage, Group
 from .platform_metadata import PlatformMetadata
+from .message_session import MessageSession, MessageSesion  # noqa
 
-
-@dataclass
-class MessageSesion:
-    platform_name: str
-    message_type: MessageType
-    session_id: str
-
-    def __str__(self):
-        return f"{self.platform_name}:{self.message_type.value}:{self.session_id}"
-
-    @staticmethod
-    def from_str(session_str: str):
-        platform_name, message_type, session_id = session_str.split(":")
-        return MessageSesion(platform_name, MessageType(message_type), session_id)
+_VT = TypeVar("_VT")
 
 
 class AstrMessageEvent(abc.ABC):
@@ -62,15 +51,15 @@ class AstrMessageEvent(abc.ABC):
         """是否唤醒(是否通过 WakingStage)"""
         self.is_at_or_wake_command = False
         """是否是 At 机器人或者带有唤醒词或者是私聊(插件注册的事件监听器会让 is_wake 设为 True, 但是不会让这个属性置为 True)"""
-        self._extras = {}
+        self._extras: dict[str, Any] = {}
         self.session = MessageSesion(
-            platform_name=platform_meta.name,
+            platform_name=platform_meta.id,
             message_type=message_obj.type,
             session_id=session_id,
         )
         self.unified_msg_origin = str(self.session)
         """统一的消息来源字符串。格式为 platform_name:message_type:session_id"""
-        self._result: MessageEventResult = None
+        self._result: MessageEventResult | None = None
         """消息事件的结果"""
 
         self._has_send_oper = False
@@ -78,13 +67,23 @@ class AstrMessageEvent(abc.ABC):
         self.call_llm = False
         """是否在此消息事件中禁止默认的 LLM 请求"""
 
+        self.plugins_name: list[str] | None = None
+        """该事件启用的插件名称列表。None 表示所有插件都启用。空列表表示没有启用任何插件。"""
+
         # back_compability
         self.platform = platform_meta
 
     def get_platform_name(self):
+        """获取这个事件所属的平台的类型（如 aiocqhttp, slack, discord 等）。
+
+        NOTE: 用户可能会同时运行多个相同类型的平台适配器。"""
         return self.platform_meta.name
 
     def get_platform_id(self):
+        """获取这个事件所属的平台的 ID。
+
+        NOTE: 用户可能会同时运行多个相同类型的平台适配器，但能确定的是 ID 是唯一的。
+        """
         return self.platform_meta.id
 
     def get_message_str(self) -> str:
@@ -176,18 +175,21 @@ class AstrMessageEvent(abc.ABC):
         """
         self._extras[key] = value
 
-    def get_extra(self, key=None):
+    def get_extra(
+        self, key: str | None = None, default: _VT = None
+    ) -> dict[str, Any] | _VT:
         """
         获取额外的信息。
         """
         if key is None:
             return self._extras
-        return self._extras.get(key, None)
+        return self._extras.get(key, default)
 
     def clear_extra(self):
         """
         清除额外的信息。
         """
+        logger.info(f"清除 {self.get_platform_name()} 的额外信息: {self._extras}")
         self._extras.clear()
 
     def is_private_chat(self) -> bool:

astrbot/core/platform/astrbot_message.py

@@ -55,7 +55,7 @@ class AstrBotMessage:
     self_id: str  # 机器人的识别id
     session_id: str  # 会话id。取决于 unique_session 的设置。
     message_id: str  # 消息id
-    group_id: str = ""  # 群组id，如果为私聊，则为空
+    group: Group  # 群组
     sender: MessageMember  # 发送者
     message: List[BaseMessageComponent]  # 消息链使用 Nakuru 的消息链格式
     message_str: str  # 最直观的纯文本消息字符串
@@ -64,6 +64,28 @@ class AstrBotMessage:
 
     def __init__(self) -> None:
         self.timestamp = int(time.time())
+        self.group = None
 
     def __str__(self) -> str:
         return str(self.__dict__)
+
+    @property
+    def group_id(self) -> str:
+        """
+        向后兼容的 group_id 属性
+        群组id，如果为私聊，则为空
+        """
+        if self.group:
+            return self.group.group_id
+        return ""
+
+    @group_id.setter
+    def group_id(self, value: str):
+        """设置 group_id"""
+        if value:
+            if self.group:
+                self.group.group_id = value
+            else:
+                self.group = Group(group_id=value)
+        else:
+            self.group = None

astrbot/core/platform/manager.py

@@ -6,6 +6,7 @@ from typing import List
 from asyncio import Queue
 from .register import platform_cls_map
 from astrbot.core import logger
+from astrbot.core.star.star_handler import star_handlers_registry, star_map, EventType
 from .sources.webchat.webchat_adapter import WebChatAdapter
 
 
@@ -18,6 +19,9 @@ class PlatformManager:
 
         self.platforms_config = config["platform"]
         self.settings = config["platform_settings"]
+        """NOTE: 这里是 default 的配置文件，以保证最大的兼容性；
+        这个配置中的 unique_session 需要特殊处理，
+        约定整个项目中对 unique_session 的引用都从 default 的配置中获取"""
         self.event_queue = event_queue
 
     async def initialize(self):
@@ -63,25 +67,39 @@ class PlatformManager:
                         WeChatPadProAdapter,  # noqa: F401
                     )
                 case "lark":
-                    from .sources.lark.lark_adapter import LarkPlatformAdapter  # noqa: F401
+                    from .sources.lark.lark_adapter import (
+                        LarkPlatformAdapter,  # noqa: F401
+                    )
                 case "dingtalk":
                     from .sources.dingtalk.dingtalk_adapter import (
                         DingtalkPlatformAdapter,  # noqa: F401
                     )
                 case "telegram":
-                    from .sources.telegram.tg_adapter import TelegramPlatformAdapter  # noqa: F401
+                    from .sources.telegram.tg_adapter import (
+                        TelegramPlatformAdapter,  # noqa: F401
+                    )
                 case "wecom":
-                    from .sources.wecom.wecom_adapter import WecomPlatformAdapter  # noqa: F401
+                    from .sources.wecom.wecom_adapter import (
+                        WecomPlatformAdapter,  # noqa: F401
+                    )
                 case "weixin_official_account":
                     from .sources.weixin_official_account.weixin_offacc_adapter import (
-                        WeixinOfficialAccountPlatformAdapter,  # noqa
+                        WeixinOfficialAccountPlatformAdapter,  # noqa: F401
                     )
                 case "discord":
                     from .sources.discord.discord_platform_adapter import (
                         DiscordPlatformAdapter,  # noqa: F401
                     )
+                case "misskey":
+                    from .sources.misskey.misskey_adapter import (
+                        MisskeyPlatformAdapter,  # noqa: F401
+                    )
                 case "slack":
                     from .sources.slack.slack_adapter import SlackAdapter  # noqa: F401
+                case "satori":
+                    from .sources.satori.satori_adapter import (
+                        SatoriPlatformAdapter,  # 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。"
@@ -110,6 +128,17 @@ class PlatformManager:
                 )
             )
         )
+        handlers = star_handlers_registry.get_handlers_by_event_type(
+            EventType.OnPlatformLoadedEvent
+        )
+        for handler in handlers:
+            try:
+                logger.info(
+                    f"hook(on_platform_loaded) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+                )
+                await handler.handler()
+            except Exception:
+                logger.error(traceback.format_exc())
 
     async def _task_wrapper(self, task: asyncio.Task):
         try:

astrbot/core/platform/message_session.py

@@ -0,0 +1,28 @@
+from astrbot.core.platform.message_type import MessageType
+from dataclasses import dataclass
+
+
+@dataclass
+class MessageSession:
+    """描述一条消息在 AstrBot 中对应的会话的唯一标识。
+    如果您需要实例化 MessageSession，请不要给 platform_id 赋值（或者同时给 platform_name 和 platform_id 赋值相同值）。它会在 __post_init__ 中自动设置为 platform_name 的值。"""
+
+    platform_name: str
+    """平台适配器实例的唯一标识符。自 AstrBot v4.0.0 起，该字段实际为 platform_id。"""
+    message_type: MessageType
+    session_id: str
+    platform_id: str = None
+
+    def __str__(self):
+        return f"{self.platform_id}:{self.message_type.value}:{self.session_id}"
+
+    def __post_init__(self):
+        self.platform_id = self.platform_name
+
+    @staticmethod
+    def from_str(session_str: str):
+        platform_id, message_type, session_id = session_str.split(":")
+        return MessageSession(platform_id, MessageType(message_type), session_id)
+
+
+MessageSesion = MessageSession  # back compatibility

astrbot/core/platform/platform.py

@@ -5,7 +5,7 @@ from asyncio import Queue
 from .platform_metadata import PlatformMetadata
 from .astr_message_event import AstrMessageEvent
 from astrbot.core.message.message_event_result import MessageChain
-from .astr_message_event import MessageSesion
+from .message_session import MessageSesion
 from astrbot.core.utils.metrics import Metric
 
 

astrbot/core/platform/platform_metadata.py

@@ -4,7 +4,7 @@ from dataclasses import dataclass
 @dataclass
 class PlatformMetadata:
     name: str
-    """平台的名称"""
+    """平台的名称，即平台的类型，如 aiocqhttp, discord, slack"""
     description: str
     """平台的描述"""
     id: str = None

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

@@ -67,12 +67,19 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
         session_id: str,
         messages: list[dict],
     ):
-        if event:
-            await bot.send(event=event, message=messages)
-        elif is_group:
+        # session_id 必须是纯数字字符串
+        session_id = int(session_id) if session_id.isdigit() else None
+
+        if is_group and isinstance(session_id, int):
             await bot.send_group_msg(group_id=session_id, message=messages)
-        else:
+        elif not is_group and isinstance(session_id, int):
             await bot.send_private_msg(user_id=session_id, message=messages)
+        elif isinstance(event, Event):  # 最后兜底
+            await bot.send(event=event, message=messages)
+        else:
+            raise ValueError(
+                f"无法发送消息：缺少有效的数字 session_id({session_id}) 或 event({event})"
+            )
 
     @classmethod
     async def send_message(
@@ -83,7 +90,15 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
         is_group: bool = False,
         session_id: str = None,
     ):
-        """发送消息"""
+        """发送消息至 QQ 协议端（aiocqhttp）。
+
+        Args:
+            bot (CQHttp): aiocqhttp 机器人实例
+            message_chain (MessageChain): 要发送的消息链
+            event (Event | None, optional): aiocqhttp 事件对象.
+            is_group (bool, optional): 是否为群消息.
+            session_id (str | None, optional): 会话 ID（群号或 QQ 号
+        """
 
         # 转发消息、文件消息不能和普通消息混在一起发送
         send_one_by_one = any(
@@ -122,18 +137,15 @@ class AiocqhttpMessageEvent(AstrMessageEvent):
 
     async def send(self, message: MessageChain):
         """发送消息"""
-        event = self.message_obj.raw_message
-        assert isinstance(event, Event), "Event must be an instance of aiocqhttp.Event"
-        is_group = False
-        if self.get_group_id():
-            is_group = True
-            session_id = self.get_group_id()
-        else:
-            session_id = self.get_sender_id()
+        event = getattr(self.message_obj, "raw_message", None)
+
+        is_group = bool(self.get_group_id())
+        session_id = self.get_group_id() if is_group else self.get_sender_id()
+
         await self.send_message(
             bot=self.bot,
             message_chain=message,
-            event=event,
+            event=event,  # 不强制要求一定是 Event
             is_group=is_group,
             session_id=session_id,
         )

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

@@ -182,11 +182,13 @@ class AiocqhttpAdapter(Platform):
         abm = AstrBotMessage()
         abm.self_id = str(event.self_id)
         abm.sender = MessageMember(
-            str(event.sender["user_id"]), event.sender["nickname"]
+            str(event.sender["user_id"]),
+            event.sender.get("card") or event.sender.get("nickname", "N/A"),
         )
         if event["message_type"] == "group":
             abm.type = MessageType.GROUP_MESSAGE
             abm.group_id = str(event.group_id)
+            abm.group.group_name = event.get("group_name", "N/A")
         elif event["message_type"] == "private":
             abm.type = MessageType.FRIEND_MESSAGE
         if self.unique_session and abm.type == MessageType.GROUP_MESSAGE:
@@ -308,13 +310,22 @@ class AiocqhttpAdapter(Platform):
                             continue
 
                         at_info = await self.bot.call_action(
-                            action="get_stranger_info",
+                            action="get_group_member_info",
+                            group_id=event.group_id,
                             user_id=int(m["data"]["qq"]),
+                            no_cache=False,
                         )
                         if at_info:
-                            nickname = at_info.get("nick", "") or at_info.get(
-                                "nickname", ""
-                            )
+                            nickname = at_info.get("card", "")
+                            if nickname == "":
+                                at_info = await self.bot.call_action(
+                                    action="get_stranger_info",
+                                    user_id=int(m["data"]["qq"]),
+                                    no_cache=False,
+                                )
+                                nickname = at_info.get("nick", "") or at_info.get(
+                                    "nickname", ""
+                                )
                             is_at_self = str(m["data"]["qq"]) in {abm.self_id, "all"}
 
                             abm.message.append(

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

@@ -26,7 +26,7 @@ class DingtalkMessageEvent(AstrMessageEvent):
                 await asyncio.get_event_loop().run_in_executor(
                     None,
                     client.reply_markdown,
-                    "AstrBot",
+                    segment.text,
                     segment.text,
                     self.message_obj.raw_message,
                 )
@@ -54,9 +54,9 @@ class DingtalkMessageEvent(AstrMessageEvent):
                     logger.debug(f"send image: {ret}")
 
                 except Exception as e:
-                    logger.error(f"钉钉图片处理失败: {e}")
-                    logger.warning(f"跳过图片发送: {image_path}")
+                    logger.warning(f"钉钉图片处理失败: {e}, 跳过图片发送")
                     continue
+
     async def send(self, message: MessageChain):
         await self.send_with_client(self.client, message)
         await super().send(message)

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

@@ -41,7 +41,8 @@ class DiscordBotClient(discord.Bot):
                 await self.on_ready_once_callback()
             except Exception as e:
                 logger.error(
-                    f"[Discord] on_ready_once_callback 执行失败: {e}", exc_info=True)
+                    f"[Discord] on_ready_once_callback 执行失败: {e}", exc_info=True
+                )
 
     def _create_message_data(self, message: discord.Message) -> dict:
         """从 discord.Message 创建数据字典"""
@@ -90,7 +91,6 @@ class DiscordBotClient(discord.Bot):
             message_data = self._create_message_data(message)
             await self.on_message_received(message_data)
 
-
     def _extract_interaction_content(self, interaction: discord.Interaction) -> str:
         """从交互中提取内容"""
         interaction_type = interaction.type

astrbot/core/platform/sources/discord/components.py

@@ -79,9 +79,12 @@ class DiscordButton(BaseMessageComponent):
         self.url = url
         self.disabled = disabled
 
+
 class DiscordReference(BaseMessageComponent):
     """Discord引用组件"""
+
     type: str = "discord_reference"
+
     def __init__(self, message_id: str, channel_id: str):
         self.message_id = message_id
         self.channel_id = channel_id
@@ -98,7 +101,6 @@ class DiscordView(BaseMessageComponent):
         self.components = components or []
         self.timeout = timeout
 
-
     def to_discord_view(self) -> discord.ui.View:
         """转换为Discord View对象"""
         view = discord.ui.View(timeout=self.timeout)

astrbot/core/platform/sources/discord/discord_platform_event.py

@@ -53,7 +53,13 @@ class DiscordPlatformEvent(AstrMessageEvent):
 
         # 解析消息链为 Discord 所需的对象
         try:
-            content, files, view, embeds, reference_message_id = await self._parse_to_discord(message)
+            (
+                content,
+                files,
+                view,
+                embeds,
+                reference_message_id,
+            ) = await self._parse_to_discord(message)
         except Exception as e:
             logger.error(f"[Discord] 解析消息链时失败: {e}", exc_info=True)
             return
@@ -206,8 +212,7 @@ class DiscordPlatformEvent(AstrMessageEvent):
                         if await asyncio.to_thread(path.exists):
                             file_bytes = await asyncio.to_thread(path.read_bytes)
                             files.append(
-                                discord.File(BytesIO(file_bytes),
-                                             filename=i.name)
+                                discord.File(BytesIO(file_bytes), filename=i.name)
                             )
                         else:
                             logger.warning(

astrbot/core/platform/sources/misskey/misskey_adapter.py

@@ -0,0 +1,391 @@
+import asyncio
+import json
+from typing import Dict, Any, Optional, Awaitable
+
+from astrbot.api import logger
+from astrbot.api.event import MessageChain
+from astrbot.api.platform import (
+    AstrBotMessage,
+    Platform,
+    PlatformMetadata,
+    register_platform_adapter,
+)
+from astrbot.core.platform.astr_message_event import MessageSession
+import astrbot.api.message_components as Comp
+
+from .misskey_api import MisskeyAPI
+from .misskey_event import MisskeyPlatformEvent
+from .misskey_utils import (
+    serialize_message_chain,
+    resolve_message_visibility,
+    is_valid_user_session_id,
+    is_valid_room_session_id,
+    add_at_mention_if_needed,
+    process_files,
+    extract_sender_info,
+    create_base_message,
+    process_at_mention,
+    cache_user_info,
+    cache_room_info,
+)
+
+
+@register_platform_adapter("misskey", "Misskey 平台适配器")
+class MisskeyPlatformAdapter(Platform):
+    def __init__(
+        self, platform_config: dict, platform_settings: dict, event_queue: asyncio.Queue
+    ) -> None:
+        super().__init__(event_queue)
+        self.config = platform_config or {}
+        self.settings = platform_settings or {}
+        self.instance_url = self.config.get("misskey_instance_url", "")
+        self.access_token = self.config.get("misskey_token", "")
+        self.max_message_length = self.config.get("max_message_length", 3000)
+        self.default_visibility = self.config.get(
+            "misskey_default_visibility", "public"
+        )
+        self.local_only = self.config.get("misskey_local_only", False)
+        self.enable_chat = self.config.get("misskey_enable_chat", True)
+
+        self.unique_session = platform_settings["unique_session"]
+
+        self.api: Optional[MisskeyAPI] = None
+        self._running = False
+        self.client_self_id = ""
+        self._bot_username = ""
+        self._user_cache = {}
+
+    def meta(self) -> PlatformMetadata:
+        default_config = {
+            "misskey_instance_url": "",
+            "misskey_token": "",
+            "max_message_length": 3000,
+            "misskey_default_visibility": "public",
+            "misskey_local_only": False,
+            "misskey_enable_chat": True,
+        }
+        default_config.update(self.config)
+
+        return PlatformMetadata(
+            name="misskey",
+            description="Misskey 平台适配器",
+            id=self.config.get("id", "misskey"),
+            default_config_tmpl=default_config,
+        )
+
+    async def run(self):
+        if not self.instance_url or not self.access_token:
+            logger.error("[Misskey] 配置不完整，无法启动")
+            return
+
+        self.api = MisskeyAPI(self.instance_url, self.access_token)
+        self._running = True
+
+        try:
+            user_info = await self.api.get_current_user()
+            self.client_self_id = str(user_info.get("id", ""))
+            self._bot_username = user_info.get("username", "")
+            logger.info(
+                f"[Misskey] 已连接用户: {self._bot_username} (ID: {self.client_self_id})"
+            )
+        except Exception as e:
+            logger.error(f"[Misskey] 获取用户信息失败: {e}")
+            self._running = False
+            return
+
+        await self._start_websocket_connection()
+
+    async def _start_websocket_connection(self):
+        backoff_delay = 1.0
+        max_backoff = 300.0
+        backoff_multiplier = 1.5
+        connection_attempts = 0
+
+        while self._running:
+            try:
+                connection_attempts += 1
+                if not self.api:
+                    logger.error("[Misskey] API 客户端未初始化")
+                    break
+
+                streaming = self.api.get_streaming_client()
+                streaming.add_message_handler("notification", self._handle_notification)
+                if self.enable_chat:
+                    streaming.add_message_handler(
+                        "newChatMessage", self._handle_chat_message
+                    )
+                    streaming.add_message_handler("_debug", self._debug_handler)
+
+                if await streaming.connect():
+                    logger.info(
+                        f"[Misskey] WebSocket 已连接 (尝试 #{connection_attempts})"
+                    )
+                    connection_attempts = 0  # 重置计数器
+                    await streaming.subscribe_channel("main")
+                    if self.enable_chat:
+                        await streaming.subscribe_channel("messaging")
+                        await streaming.subscribe_channel("messagingIndex")
+                        logger.info("[Misskey] 聊天频道已订阅")
+
+                    backoff_delay = 1.0  # 重置延迟
+                    await streaming.listen()
+                else:
+                    logger.error(
+                        f"[Misskey] WebSocket 连接失败 (尝试 #{connection_attempts})"
+                    )
+
+            except Exception as e:
+                logger.error(
+                    f"[Misskey] WebSocket 异常 (尝试 #{connection_attempts}): {e}"
+                )
+
+            if self._running:
+                logger.info(
+                    f"[Misskey] {backoff_delay:.1f}秒后重连 (下次尝试 #{connection_attempts + 1})"
+                )
+                await asyncio.sleep(backoff_delay)
+                backoff_delay = min(backoff_delay * backoff_multiplier, max_backoff)
+
+    async def _handle_notification(self, data: Dict[str, Any]):
+        try:
+            logger.debug(
+                f"[Misskey] 收到通知事件:\n{json.dumps(data, indent=2, ensure_ascii=False)}"
+            )
+            notification_type = data.get("type")
+            if notification_type in ["mention", "reply", "quote"]:
+                note = data.get("note")
+                if note and self._is_bot_mentioned(note):
+                    logger.info(
+                        f"[Misskey] 处理贴文提及: {note.get('text', '')[:50]}..."
+                    )
+                    message = await self.convert_message(note)
+                    event = MisskeyPlatformEvent(
+                        message_str=message.message_str,
+                        message_obj=message,
+                        platform_meta=self.meta(),
+                        session_id=message.session_id,
+                        client=self.api,
+                    )
+                    self.commit_event(event)
+        except Exception as e:
+            logger.error(f"[Misskey] 处理通知失败: {e}")
+
+    async def _handle_chat_message(self, data: Dict[str, Any]):
+        try:
+            logger.debug(
+                f"[Misskey] 收到聊天事件数据:\n{json.dumps(data, indent=2, ensure_ascii=False)}"
+            )
+
+            sender_id = str(
+                data.get("fromUserId", "") or data.get("fromUser", {}).get("id", "")
+            )
+            if sender_id == self.client_self_id:
+                return
+
+            room_id = data.get("toRoomId")
+            if room_id:
+                raw_text = data.get("text", "")
+                logger.debug(
+                    f"[Misskey] 检查群聊消息: '{raw_text}', 机器人用户名: '{self._bot_username}'"
+                )
+
+                message = await self.convert_room_message(data)
+                logger.info(f"[Misskey] 处理群聊消息: {message.message_str[:50]}...")
+            else:
+                message = await self.convert_chat_message(data)
+                logger.info(f"[Misskey] 处理私聊消息: {message.message_str[:50]}...")
+
+            event = MisskeyPlatformEvent(
+                message_str=message.message_str,
+                message_obj=message,
+                platform_meta=self.meta(),
+                session_id=message.session_id,
+                client=self.api,
+            )
+            self.commit_event(event)
+        except Exception as e:
+            logger.error(f"[Misskey] 处理聊天消息失败: {e}")
+
+    async def _debug_handler(self, data: Dict[str, Any]):
+        logger.debug(
+            f"[Misskey] 收到未处理事件:\n{json.dumps(data, indent=2, ensure_ascii=False)}"
+        )
+
+    def _is_bot_mentioned(self, note: Dict[str, Any]) -> bool:
+        text = note.get("text", "")
+        if not text:
+            return False
+
+        mentions = note.get("mentions", [])
+        if self._bot_username and f"@{self._bot_username}" in text:
+            return True
+        if self.client_self_id in [str(uid) for uid in mentions]:
+            return True
+
+        reply = note.get("reply")
+        if reply and isinstance(reply, dict):
+            reply_user_id = str(reply.get("user", {}).get("id", ""))
+            if reply_user_id == self.client_self_id:
+                return bool(self._bot_username and f"@{self._bot_username}" in text)
+
+        return False
+
+    async def send_by_session(
+        self, session: MessageSession, message_chain: MessageChain
+    ) -> Awaitable[Any]:
+        if not self.api:
+            logger.error("[Misskey] API 客户端未初始化")
+            return await super().send_by_session(session, message_chain)
+
+        try:
+            session_id = session.session_id
+            text, has_at_user = serialize_message_chain(message_chain.chain)
+
+            if not has_at_user and session_id:
+                user_info = self._user_cache.get(session_id)
+                text = add_at_mention_if_needed(text, user_info, has_at_user)
+
+            if not text or not text.strip():
+                logger.warning("[Misskey] 消息内容为空，跳过发送")
+                return await super().send_by_session(session, message_chain)
+
+            if len(text) > self.max_message_length:
+                text = text[: self.max_message_length] + "..."
+
+            if session_id and is_valid_user_session_id(session_id):
+                from .misskey_utils import extract_user_id_from_session_id
+
+                user_id = extract_user_id_from_session_id(session_id)
+                await self.api.send_message(user_id, text)
+            elif session_id and is_valid_room_session_id(session_id):
+                from .misskey_utils import extract_room_id_from_session_id
+
+                room_id = extract_room_id_from_session_id(session_id)
+                await self.api.send_room_message(room_id, text)
+            else:
+                visibility, visible_user_ids = resolve_message_visibility(
+                    user_id=session_id,
+                    user_cache=self._user_cache,
+                    self_id=self.client_self_id,
+                    default_visibility=self.default_visibility,
+                )
+
+                await self.api.create_note(
+                    text,
+                    visibility=visibility,
+                    visible_user_ids=visible_user_ids,
+                    local_only=self.local_only,
+                )
+
+        except Exception as e:
+            logger.error(f"[Misskey] 发送消息失败: {e}")
+
+        return await super().send_by_session(session, message_chain)
+
+    async def convert_message(self, raw_data: Dict[str, Any]) -> AstrBotMessage:
+        """将 Misskey 贴文数据转换为 AstrBotMessage 对象"""
+        sender_info = extract_sender_info(raw_data, is_chat=False)
+        message = create_base_message(
+            raw_data,
+            sender_info,
+            self.client_self_id,
+            is_chat=False,
+            unique_session=self.unique_session,
+        )
+        cache_user_info(
+            self._user_cache, sender_info, raw_data, self.client_self_id, is_chat=False
+        )
+
+        message_parts = []
+        raw_text = raw_data.get("text", "")
+
+        if raw_text:
+            text_parts, processed_text = process_at_mention(
+                message, raw_text, self._bot_username, self.client_self_id
+            )
+            message_parts.extend(text_parts)
+
+        files = raw_data.get("files", [])
+        file_parts = process_files(message, files)
+        message_parts.extend(file_parts)
+
+        message.message_str = (
+            " ".join(part for part in message_parts if part.strip())
+            if message_parts
+            else ""
+        )
+        return message
+
+    async def convert_chat_message(self, raw_data: Dict[str, Any]) -> AstrBotMessage:
+        """将 Misskey 聊天消息数据转换为 AstrBotMessage 对象"""
+        sender_info = extract_sender_info(raw_data, is_chat=True)
+        message = create_base_message(
+            raw_data,
+            sender_info,
+            self.client_self_id,
+            is_chat=True,
+            unique_session=self.unique_session,
+        )
+        cache_user_info(
+            self._user_cache, sender_info, raw_data, self.client_self_id, is_chat=True
+        )
+
+        raw_text = raw_data.get("text", "")
+        if raw_text:
+            message.message.append(Comp.Plain(raw_text))
+
+        files = raw_data.get("files", [])
+        process_files(message, files, include_text_parts=False)
+
+        message.message_str = raw_text if raw_text else ""
+        return message
+
+    async def convert_room_message(self, raw_data: Dict[str, Any]) -> AstrBotMessage:
+        """将 Misskey 群聊消息数据转换为 AstrBotMessage 对象"""
+        sender_info = extract_sender_info(raw_data, is_chat=True)
+        room_id = raw_data.get("toRoomId", "")
+        message = create_base_message(
+            raw_data,
+            sender_info,
+            self.client_self_id,
+            is_chat=False,
+            room_id=room_id,
+            unique_session=self.unique_session,
+        )
+
+        cache_user_info(
+            self._user_cache, sender_info, raw_data, self.client_self_id, is_chat=False
+        )
+        cache_room_info(self._user_cache, raw_data, self.client_self_id)
+
+        raw_text = raw_data.get("text", "")
+        message_parts = []
+
+        if raw_text:
+            if self._bot_username and f"@{self._bot_username}" in raw_text:
+                text_parts, processed_text = process_at_mention(
+                    message, raw_text, self._bot_username, self.client_self_id
+                )
+                message_parts.extend(text_parts)
+            else:
+                message.message.append(Comp.Plain(raw_text))
+                message_parts.append(raw_text)
+
+        files = raw_data.get("files", [])
+        file_parts = process_files(message, files)
+        message_parts.extend(file_parts)
+
+        message.message_str = (
+            " ".join(part for part in message_parts if part.strip())
+            if message_parts
+            else ""
+        )
+        return message
+
+    async def terminate(self):
+        self._running = False
+        if self.api:
+            await self.api.close()
+
+    def get_client(self) -> Any:
+        return self.api

astrbot/core/platform/sources/misskey/misskey_api.py

@@ -0,0 +1,404 @@
+import json
+from typing import Any, Optional, Dict, List, Callable, Awaitable
+import uuid
+
+try:
+    import aiohttp
+    import websockets
+except ImportError as e:
+    raise ImportError(
+        "aiohttp and websockets are required for Misskey API. Please install them with: pip install aiohttp websockets"
+    ) from e
+
+from astrbot.api import logger
+
+# Constants
+API_MAX_RETRIES = 3
+HTTP_OK = 200
+
+
+class APIError(Exception):
+    """Misskey API 基础异常"""
+
+    pass
+
+
+class APIConnectionError(APIError):
+    """网络连接异常"""
+
+    pass
+
+
+class APIRateLimitError(APIError):
+    """API 频率限制异常"""
+
+    pass
+
+
+class AuthenticationError(APIError):
+    """认证失败异常"""
+
+    pass
+
+
+class WebSocketError(APIError):
+    """WebSocket 连接异常"""
+
+    pass
+
+
+class StreamingClient:
+    def __init__(self, instance_url: str, access_token: str):
+        self.instance_url = instance_url.rstrip("/")
+        self.access_token = access_token
+        self.websocket: Optional[Any] = None
+        self.is_connected = False
+        self.message_handlers: Dict[str, Callable] = {}
+        self.channels: Dict[str, str] = {}
+        self._running = False
+        self._last_pong = None
+
+    async def connect(self) -> bool:
+        try:
+            ws_url = self.instance_url.replace("https://", "wss://").replace(
+                "http://", "ws://"
+            )
+            ws_url += f"/streaming?i={self.access_token}"
+
+            self.websocket = await websockets.connect(
+                ws_url, ping_interval=30, ping_timeout=10
+            )
+            self.is_connected = True
+            self._running = True
+
+            logger.info("[Misskey WebSocket] 已连接")
+            return True
+
+        except Exception as e:
+            logger.error(f"[Misskey WebSocket] 连接失败: {e}")
+            self.is_connected = False
+            return False
+
+    async def disconnect(self):
+        self._running = False
+        if self.websocket:
+            await self.websocket.close()
+            self.websocket = None
+        self.is_connected = False
+        logger.info("[Misskey WebSocket] 连接已断开")
+
+    async def subscribe_channel(
+        self, channel_type: str, params: Optional[Dict] = None
+    ) -> str:
+        if not self.is_connected or not self.websocket:
+            raise WebSocketError("WebSocket 未连接")
+
+        channel_id = str(uuid.uuid4())
+        message = {
+            "type": "connect",
+            "body": {"channel": channel_type, "id": channel_id, "params": params or {}},
+        }
+
+        await self.websocket.send(json.dumps(message))
+        self.channels[channel_id] = channel_type
+        return channel_id
+
+    async def unsubscribe_channel(self, channel_id: str):
+        if (
+            not self.is_connected
+            or not self.websocket
+            or channel_id not in self.channels
+        ):
+            return
+
+        message = {"type": "disconnect", "body": {"id": channel_id}}
+
+        await self.websocket.send(json.dumps(message))
+        del self.channels[channel_id]
+
+    def add_message_handler(
+        self, event_type: str, handler: Callable[[Dict], Awaitable[None]]
+    ):
+        self.message_handlers[event_type] = handler
+
+    async def listen(self):
+        if not self.is_connected or not self.websocket:
+            raise WebSocketError("WebSocket 未连接")
+
+        try:
+            async for message in self.websocket:
+                if not self._running:
+                    break
+
+                try:
+                    data = json.loads(message)
+                    await self._handle_message(data)
+                except json.JSONDecodeError as e:
+                    logger.warning(f"[Misskey WebSocket] 无法解析消息: {e}")
+                except Exception as e:
+                    logger.error(f"[Misskey WebSocket] 处理消息失败: {e}")
+
+        except websockets.exceptions.ConnectionClosedError as e:
+            logger.warning(f"[Misskey WebSocket] 连接意外关闭: {e}")
+            self.is_connected = False
+        except websockets.exceptions.ConnectionClosed as e:
+            logger.warning(
+                f"[Misskey WebSocket] 连接已关闭 (代码: {e.code}, 原因: {e.reason})"
+            )
+            self.is_connected = False
+        except websockets.exceptions.InvalidHandshake as e:
+            logger.error(f"[Misskey WebSocket] 握手失败: {e}")
+            self.is_connected = False
+        except Exception as e:
+            logger.error(f"[Misskey WebSocket] 监听消息失败: {e}")
+            self.is_connected = False
+
+    async def _handle_message(self, data: Dict[str, Any]):
+        message_type = data.get("type")
+        body = data.get("body", {})
+
+        logger.debug(
+            f"[Misskey WebSocket] 收到消息类型: {message_type}\n数据: {json.dumps(data, indent=2, ensure_ascii=False)}"
+        )
+
+        if message_type == "channel":
+            channel_id = body.get("id")
+            event_type = body.get("type")
+            event_body = body.get("body", {})
+
+            logger.debug(
+                f"[Misskey WebSocket] 频道消息: {channel_id}, 事件类型: {event_type}"
+            )
+
+            if channel_id in self.channels:
+                channel_type = self.channels[channel_id]
+                handler_key = f"{channel_type}:{event_type}"
+
+                if handler_key in self.message_handlers:
+                    logger.debug(f"[Misskey WebSocket] 使用处理器: {handler_key}")
+                    await self.message_handlers[handler_key](event_body)
+                elif event_type in self.message_handlers:
+                    logger.debug(f"[Misskey WebSocket] 使用事件处理器: {event_type}")
+                    await self.message_handlers[event_type](event_body)
+                else:
+                    logger.debug(
+                        f"[Misskey WebSocket] 未找到处理器: {handler_key} 或 {event_type}"
+                    )
+                    if "_debug" in self.message_handlers:
+                        await self.message_handlers["_debug"](
+                            {
+                                "type": event_type,
+                                "body": event_body,
+                                "channel": channel_type,
+                            }
+                        )
+
+        elif message_type in self.message_handlers:
+            logger.debug(f"[Misskey WebSocket] 直接消息处理器: {message_type}")
+            await self.message_handlers[message_type](body)
+        else:
+            logger.debug(f"[Misskey WebSocket] 未处理的消息类型: {message_type}")
+            if "_debug" in self.message_handlers:
+                await self.message_handlers["_debug"](data)
+
+
+def retry_async(max_retries: int = 3, retryable_exceptions: tuple = ()):
+    def decorator(func):
+        async def wrapper(*args, **kwargs):
+            last_exc = None
+            for _ in range(max_retries):
+                try:
+                    return await func(*args, **kwargs)
+                except retryable_exceptions as e:
+                    last_exc = e
+                    continue
+            if last_exc:
+                raise last_exc
+
+        return wrapper
+
+    return decorator
+
+
+class MisskeyAPI:
+    def __init__(self, instance_url: str, access_token: str):
+        self.instance_url = instance_url.rstrip("/")
+        self.access_token = access_token
+        self._session: Optional[aiohttp.ClientSession] = None
+        self.streaming: Optional[StreamingClient] = None
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        await self.close()
+        return False
+
+    async def close(self) -> None:
+        if self.streaming:
+            await self.streaming.disconnect()
+            self.streaming = None
+        if self._session:
+            await self._session.close()
+            self._session = None
+        logger.debug("[Misskey API] 客户端已关闭")
+
+    def get_streaming_client(self) -> StreamingClient:
+        if not self.streaming:
+            self.streaming = StreamingClient(self.instance_url, self.access_token)
+        return self.streaming
+
+    @property
+    def session(self) -> aiohttp.ClientSession:
+        if self._session is None or self._session.closed:
+            headers = {"Authorization": f"Bearer {self.access_token}"}
+            self._session = aiohttp.ClientSession(headers=headers)
+        return self._session
+
+    def _handle_response_status(self, status: int, endpoint: str):
+        """处理 HTTP 响应状态码"""
+        if status == 400:
+            logger.error(f"API 请求错误: {endpoint} (状态码: {status})")
+            raise APIError(f"Bad request for {endpoint}")
+        elif status in (401, 403):
+            logger.error(f"API 认证失败: {endpoint} (状态码: {status})")
+            raise AuthenticationError(f"Authentication failed for {endpoint}")
+        elif status == 429:
+            logger.warning(f"API 频率限制: {endpoint} (状态码: {status})")
+            raise APIRateLimitError(f"Rate limit exceeded for {endpoint}")
+        else:
+            logger.error(f"API 请求失败: {endpoint} (状态码: {status})")
+            raise APIConnectionError(f"HTTP {status} for {endpoint}")
+
+    async def _process_response(
+        self, response: aiohttp.ClientResponse, endpoint: str
+    ) -> Any:
+        """处理 API 响应"""
+        if response.status == HTTP_OK:
+            try:
+                result = await response.json()
+                if endpoint == "i/notifications":
+                    notifications_data = (
+                        result
+                        if isinstance(result, list)
+                        else result.get("notifications", [])
+                        if isinstance(result, dict)
+                        else []
+                    )
+                    if notifications_data:
+                        logger.debug(f"获取到 {len(notifications_data)} 条新通知")
+                else:
+                    logger.debug(f"API 请求成功: {endpoint}")
+                return result
+            except json.JSONDecodeError as e:
+                logger.error(f"响应不是有效的 JSON 格式: {e}")
+                raise APIConnectionError("Invalid JSON response") from e
+        else:
+            try:
+                error_text = await response.text()
+                logger.error(
+                    f"API 请求失败: {endpoint} - 状态码: {response.status}, 响应: {error_text}"
+                )
+            except Exception:
+                logger.error(f"API 请求失败: {endpoint} - 状态码: {response.status}")
+
+            self._handle_response_status(response.status, endpoint)
+            raise APIConnectionError(f"Request failed for {endpoint}")
+
+    @retry_async(
+        max_retries=API_MAX_RETRIES,
+        retryable_exceptions=(APIConnectionError, APIRateLimitError),
+    )
+    async def _make_request(
+        self, endpoint: str, data: Optional[Dict[str, Any]] = None
+    ) -> Any:
+        url = f"{self.instance_url}/api/{endpoint}"
+        payload = {"i": self.access_token}
+        if data:
+            payload.update(data)
+
+        try:
+            async with self.session.post(url, json=payload) as response:
+                return await self._process_response(response, endpoint)
+        except aiohttp.ClientError as e:
+            logger.error(f"HTTP 请求错误: {e}")
+            raise APIConnectionError(f"HTTP request failed: {e}") from e
+
+    async def create_note(
+        self,
+        text: str,
+        visibility: str = "public",
+        reply_id: Optional[str] = None,
+        visible_user_ids: Optional[List[str]] = None,
+        local_only: bool = False,
+    ) -> Dict[str, Any]:
+        """创建新贴文"""
+        data: Dict[str, Any] = {
+            "text": text,
+            "visibility": visibility,
+            "localOnly": local_only,
+        }
+        if reply_id:
+            data["replyId"] = reply_id
+        if visible_user_ids and visibility == "specified":
+            data["visibleUserIds"] = visible_user_ids
+
+        result = await self._make_request("notes/create", data)
+        note_id = result.get("createdNote", {}).get("id", "unknown")
+        logger.debug(f"发帖成功，note_id: {note_id}")
+        return result
+
+    async def get_current_user(self) -> Dict[str, Any]:
+        """获取当前用户信息"""
+        return await self._make_request("i", {})
+
+    async def send_message(self, user_id: str, text: str) -> Dict[str, Any]:
+        """发送聊天消息"""
+        result = await self._make_request(
+            "chat/messages/create-to-user", {"toUserId": user_id, "text": text}
+        )
+        message_id = result.get("id", "unknown")
+        logger.debug(f"聊天发送成功，message_id: {message_id}")
+        return result
+
+    async def send_room_message(self, room_id: str, text: str) -> Dict[str, Any]:
+        """发送房间消息"""
+        result = await self._make_request(
+            "chat/messages/create-to-room", {"toRoomId": room_id, "text": text}
+        )
+        message_id = result.get("id", "unknown")
+        logger.debug(f"房间消息发送成功，message_id: {message_id}")
+        return result
+
+    async def get_messages(
+        self, user_id: str, limit: int = 10, since_id: Optional[str] = None
+    ) -> List[Dict[str, Any]]:
+        """获取聊天消息历史"""
+        data: Dict[str, Any] = {"userId": user_id, "limit": limit}
+        if since_id:
+            data["sinceId"] = since_id
+
+        result = await self._make_request("chat/messages/user-timeline", data)
+        if isinstance(result, list):
+            return result
+        else:
+            logger.warning(f"获取聊天消息响应格式异常: {type(result)}")
+            return []
+
+    async def get_mentions(
+        self, limit: int = 10, since_id: Optional[str] = None
+    ) -> List[Dict[str, Any]]:
+        """获取提及通知"""
+        data: Dict[str, Any] = {"limit": limit}
+        if since_id:
+            data["sinceId"] = since_id
+        data["includeTypes"] = ["mention", "reply", "quote"]
+
+        result = await self._make_request("i/notifications", data)
+        if isinstance(result, list):
+            return result
+        elif isinstance(result, dict) and "notifications" in result:
+            return result["notifications"]
+        else:
+            logger.warning(f"获取提及通知响应格式异常: {type(result)}")
+            return []

astrbot/core/platform/sources/misskey/misskey_event.py

@@ -0,0 +1,123 @@
+import asyncio
+import re
+from typing import AsyncGenerator
+from astrbot.api import logger
+from astrbot.api.event import AstrMessageEvent, MessageChain
+from astrbot.api.platform import PlatformMetadata, AstrBotMessage
+from astrbot.api.message_components import Plain
+
+from .misskey_utils import (
+    serialize_message_chain,
+    resolve_visibility_from_raw_message,
+    is_valid_user_session_id,
+    is_valid_room_session_id,
+    add_at_mention_if_needed,
+    extract_user_id_from_session_id,
+    extract_room_id_from_session_id,
+)
+
+
+class MisskeyPlatformEvent(AstrMessageEvent):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+        client,
+    ):
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.client = client
+
+    def _is_system_command(self, message_str: str) -> bool:
+        """检测是否为系统指令"""
+        if not message_str or not message_str.strip():
+            return False
+
+        system_prefixes = ["/", "!", "#", ".", "^"]
+        message_trimmed = message_str.strip()
+
+        return any(message_trimmed.startswith(prefix) for prefix in system_prefixes)
+
+    async def send(self, message: MessageChain):
+        content, has_at = serialize_message_chain(message.chain)
+
+        if not content:
+            logger.debug("[MisskeyEvent] 内容为空，跳过发送")
+            return
+
+        try:
+            original_message_id = getattr(self.message_obj, "message_id", None)
+            raw_message = getattr(self.message_obj, "raw_message", {})
+
+            if raw_message and not has_at:
+                user_data = raw_message.get("user", {})
+                user_info = {
+                    "username": user_data.get("username", ""),
+                    "nickname": user_data.get("name", user_data.get("username", "")),
+                }
+                content = add_at_mention_if_needed(content, user_info, has_at)
+
+            # 根据会话类型选择发送方式
+            if hasattr(self.client, "send_message") and is_valid_user_session_id(
+                self.session_id
+            ):
+                user_id = extract_user_id_from_session_id(self.session_id)
+                await self.client.send_message(user_id, content)
+            elif hasattr(self.client, "send_room_message") and is_valid_room_session_id(
+                self.session_id
+            ):
+                room_id = extract_room_id_from_session_id(self.session_id)
+                await self.client.send_room_message(room_id, content)
+            elif original_message_id and hasattr(self.client, "create_note"):
+                visibility, visible_user_ids = resolve_visibility_from_raw_message(
+                    raw_message
+                )
+                await self.client.create_note(
+                    content,
+                    reply_id=original_message_id,
+                    visibility=visibility,
+                    visible_user_ids=visible_user_ids,
+                )
+            elif hasattr(self.client, "create_note"):
+                logger.debug("[MisskeyEvent] 创建新帖子")
+                await self.client.create_note(content)
+
+            await super().send(message)
+
+        except Exception as e:
+            logger.error(f"[MisskeyEvent] 发送失败: {e}")
+
+    async def send_streaming(
+        self, generator: AsyncGenerator[MessageChain, None], use_fallback: bool = False
+    ):
+        if not use_fallback:
+            buffer = None
+            async for chain in generator:
+                if not buffer:
+                    buffer = chain
+                else:
+                    buffer.chain.extend(chain.chain)
+            if not buffer:
+                return
+            buffer.squash_plain()
+            await self.send(buffer)
+            return await super().send_streaming(generator, use_fallback)
+
+        buffer = ""
+        pattern = re.compile(r"[^。？！~…]+[。？！~…]+")
+
+        async for chain in generator:
+            if isinstance(chain, MessageChain):
+                for comp in chain.chain:
+                    if isinstance(comp, Plain):
+                        buffer += comp.text
+                        if any(p in buffer for p in "。？！~…"):
+                            buffer = await self.process_buffer(buffer, pattern)
+                    else:
+                        await self.send(MessageChain(chain=[comp]))
+                        await asyncio.sleep(1.5)  # 限速
+
+        if buffer.strip():
+            await self.send(MessageChain([Plain(buffer)]))
+        return await super().send_streaming(generator, use_fallback)

astrbot/core/platform/sources/misskey/misskey_utils.py

@@ -0,0 +1,327 @@
+"""Misskey 平台适配器通用工具函数"""
+
+from typing import Dict, Any, List, Tuple, Optional, Union
+import astrbot.api.message_components as Comp
+from astrbot.api.platform import AstrBotMessage, MessageMember, MessageType
+
+
+def serialize_message_chain(chain: List[Any]) -> Tuple[str, bool]:
+    """将消息链序列化为文本字符串"""
+    text_parts = []
+    has_at = False
+
+    def process_component(component):
+        nonlocal has_at
+        if isinstance(component, Comp.Plain):
+            return component.text
+        elif isinstance(component, Comp.File):
+            file_name = getattr(component, "name", "文件")
+            return f"[文件: {file_name}]"
+        elif isinstance(component, Comp.At):
+            has_at = True
+            return f"@{component.qq}"
+        elif hasattr(component, "text"):
+            text = getattr(component, "text", "")
+            if "@" in text:
+                has_at = True
+            return text
+        else:
+            return str(component)
+
+    for component in chain:
+        if isinstance(component, Comp.Node) and component.content:
+            for node_comp in component.content:
+                result = process_component(node_comp)
+                if result:
+                    text_parts.append(result)
+        else:
+            result = process_component(component)
+            if result:
+                text_parts.append(result)
+
+    return "".join(text_parts), has_at
+
+
+def resolve_message_visibility(
+    user_id: Optional[str],
+    user_cache: Dict[str, Any],
+    self_id: Optional[str],
+    default_visibility: str = "public",
+) -> Tuple[str, Optional[List[str]]]:
+    """解析 Misskey 消息的可见性设置"""
+    visibility = default_visibility
+    visible_user_ids = None
+
+    if user_id and user_cache:
+        user_info = user_cache.get(user_id)
+        if user_info:
+            original_visibility = user_info.get("visibility", default_visibility)
+            if original_visibility == "specified":
+                visibility = "specified"
+                original_visible_users = user_info.get("visible_user_ids", [])
+                users_to_include = [user_id]
+                if self_id:
+                    users_to_include.append(self_id)
+                visible_user_ids = list(set(original_visible_users + users_to_include))
+                visible_user_ids = [uid for uid in visible_user_ids if uid]
+            else:
+                visibility = original_visibility
+
+    return visibility, visible_user_ids
+
+
+def resolve_visibility_from_raw_message(
+    raw_message: Dict[str, Any], self_id: Optional[str] = None
+) -> Tuple[str, Optional[List[str]]]:
+    """从原始消息数据中解析可见性设置"""
+    visibility = "public"
+    visible_user_ids = None
+
+    if not raw_message:
+        return visibility, visible_user_ids
+
+    original_visibility = raw_message.get("visibility", "public")
+    if original_visibility == "specified":
+        visibility = "specified"
+        original_visible_users = raw_message.get("visibleUserIds", [])
+        sender_id = raw_message.get("userId", "")
+
+        users_to_include = []
+        if sender_id:
+            users_to_include.append(sender_id)
+        if self_id:
+            users_to_include.append(self_id)
+
+        visible_user_ids = list(set(original_visible_users + users_to_include))
+        visible_user_ids = [uid for uid in visible_user_ids if uid]
+    else:
+        visibility = original_visibility
+
+    return visibility, visible_user_ids
+
+
+def is_valid_user_session_id(session_id: Union[str, Any]) -> bool:
+    """检查 session_id 是否是有效的聊天用户 session_id (仅限chat%前缀)"""
+    if not isinstance(session_id, str) or "%" not in session_id:
+        return False
+
+    parts = session_id.split("%")
+    return (
+        len(parts) == 2
+        and parts[0] == "chat"
+        and bool(parts[1])
+        and parts[1] != "unknown"
+    )
+
+
+def is_valid_room_session_id(session_id: Union[str, Any]) -> bool:
+    """检查 session_id 是否是有效的房间 session_id (仅限room%前缀)"""
+    if not isinstance(session_id, str) or "%" not in session_id:
+        return False
+
+    parts = session_id.split("%")
+    return (
+        len(parts) == 2
+        and parts[0] == "room"
+        and bool(parts[1])
+        and parts[1] != "unknown"
+    )
+
+
+def extract_user_id_from_session_id(session_id: str) -> str:
+    """从 session_id 中提取用户 ID"""
+    if "%" in session_id:
+        parts = session_id.split("%")
+        if len(parts) >= 2:
+            return parts[1]
+    return session_id
+
+
+def extract_room_id_from_session_id(session_id: str) -> str:
+    """从 session_id 中提取房间 ID"""
+    if "%" in session_id:
+        parts = session_id.split("%")
+        if len(parts) >= 2 and parts[0] == "room":
+            return parts[1]
+    return session_id
+
+
+def add_at_mention_if_needed(
+    text: str, user_info: Optional[Dict[str, Any]], has_at: bool = False
+) -> str:
+    """如果需要且没有@用户，则添加@用户"""
+    if has_at or not user_info:
+        return text
+
+    username = user_info.get("username")
+    nickname = user_info.get("nickname")
+
+    if username:
+        mention = f"@{username}"
+        if not text.startswith(mention):
+            text = f"{mention}\n{text}".strip()
+    elif nickname:
+        mention = f"@{nickname}"
+        if not text.startswith(mention):
+            text = f"{mention}\n{text}".strip()
+
+    return text
+
+
+def create_file_component(file_info: Dict[str, Any]) -> Tuple[Any, str]:
+    """创建文件组件和描述文本"""
+    file_url = file_info.get("url", "")
+    file_name = file_info.get("name", "未知文件")
+    file_type = file_info.get("type", "")
+
+    if file_type.startswith("image/"):
+        return Comp.Image(url=file_url, file=file_name), f"图片[{file_name}]"
+    elif file_type.startswith("audio/"):
+        return Comp.Record(url=file_url, file=file_name), f"音频[{file_name}]"
+    elif file_type.startswith("video/"):
+        return Comp.Video(url=file_url, file=file_name), f"视频[{file_name}]"
+    else:
+        return Comp.File(name=file_name, url=file_url), f"文件[{file_name}]"
+
+
+def process_files(
+    message: AstrBotMessage, files: list, include_text_parts: bool = True
+) -> list:
+    """处理文件列表，添加到消息组件中并返回文本描述"""
+    file_parts = []
+    for file_info in files:
+        component, part_text = create_file_component(file_info)
+        message.message.append(component)
+        if include_text_parts:
+            file_parts.append(part_text)
+    return file_parts
+
+
+def extract_sender_info(
+    raw_data: Dict[str, Any], is_chat: bool = False
+) -> Dict[str, Any]:
+    """提取发送者信息"""
+    if is_chat:
+        sender = raw_data.get("fromUser", {})
+        sender_id = str(sender.get("id", "") or raw_data.get("fromUserId", ""))
+    else:
+        sender = raw_data.get("user", {})
+        sender_id = str(sender.get("id", ""))
+
+    return {
+        "sender": sender,
+        "sender_id": sender_id,
+        "nickname": sender.get("name", sender.get("username", "")),
+        "username": sender.get("username", ""),
+    }
+
+
+def create_base_message(
+    raw_data: Dict[str, Any],
+    sender_info: Dict[str, Any],
+    client_self_id: str,
+    is_chat: bool = False,
+    room_id: Optional[str] = None,
+    unique_session: bool = False,
+) -> AstrBotMessage:
+    """创建基础消息对象"""
+    message = AstrBotMessage()
+    message.raw_message = raw_data
+    message.message = []
+
+    message.sender = MessageMember(
+        user_id=sender_info["sender_id"],
+        nickname=sender_info["nickname"],
+    )
+
+    if room_id:
+        session_prefix = "room"
+        session_id = f"{session_prefix}%{room_id}"
+        if unique_session:
+            session_id += f"_{sender_info['sender_id']}"
+        message.type = MessageType.GROUP_MESSAGE
+        message.group_id = room_id
+    elif is_chat:
+        session_prefix = "chat"
+        session_id = f"{session_prefix}%{sender_info['sender_id']}"
+        message.type = MessageType.FRIEND_MESSAGE
+    else:
+        session_prefix = "note"
+        session_id = f"{session_prefix}%{sender_info['sender_id']}"
+        message.type = MessageType.FRIEND_MESSAGE
+
+    message.session_id = (
+        session_id if sender_info["sender_id"] else f"{session_prefix}%unknown"
+    )
+    message.message_id = str(raw_data.get("id", ""))
+    message.self_id = client_self_id
+
+    return message
+
+
+def process_at_mention(
+    message: AstrBotMessage, raw_text: str, bot_username: str, client_self_id: str
+) -> Tuple[List[str], str]:
+    """处理@提及逻辑，返回消息部分列表和处理后的文本"""
+    message_parts = []
+
+    if not raw_text:
+        return message_parts, ""
+
+    if bot_username and raw_text.startswith(f"@{bot_username}"):
+        at_mention = f"@{bot_username}"
+        message.message.append(Comp.At(qq=client_self_id))
+        remaining_text = raw_text[len(at_mention) :].strip()
+        if remaining_text:
+            message.message.append(Comp.Plain(remaining_text))
+            message_parts.append(remaining_text)
+        return message_parts, remaining_text
+    else:
+        message.message.append(Comp.Plain(raw_text))
+        message_parts.append(raw_text)
+        return message_parts, raw_text
+
+
+def cache_user_info(
+    user_cache: Dict[str, Any],
+    sender_info: Dict[str, Any],
+    raw_data: Dict[str, Any],
+    client_self_id: str,
+    is_chat: bool = False,
+):
+    """缓存用户信息"""
+    if is_chat:
+        user_cache_data = {
+            "username": sender_info["username"],
+            "nickname": sender_info["nickname"],
+            "visibility": "specified",
+            "visible_user_ids": [client_self_id, sender_info["sender_id"]],
+        }
+    else:
+        user_cache_data = {
+            "username": sender_info["username"],
+            "nickname": sender_info["nickname"],
+            "visibility": raw_data.get("visibility", "public"),
+            "visible_user_ids": raw_data.get("visibleUserIds", []),
+        }
+
+    user_cache[sender_info["sender_id"]] = user_cache_data
+
+
+def cache_room_info(
+    user_cache: Dict[str, Any], raw_data: Dict[str, Any], client_self_id: str
+):
+    """缓存房间信息"""
+    room_data = raw_data.get("toRoom")
+    room_id = raw_data.get("toRoomId")
+
+    if room_data and room_id:
+        room_cache_key = f"room:{room_id}"
+        user_cache[room_cache_key] = {
+            "room_id": room_id,
+            "room_name": room_data.get("name", ""),
+            "room_description": room_data.get("description", ""),
+            "owner_id": room_data.get("ownerId", ""),
+            "visibility": "specified",
+            "visible_user_ids": [client_self_id],
+        }

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

@@ -3,15 +3,23 @@ import botpy.message
 import botpy.types
 import botpy.types.message
 import asyncio
+import base64
+import aiofiles
 from astrbot.core.utils.io import file_to_base64, download_image_by_url
+from astrbot.core.utils.tencent_record_helper import wav_to_tencent_silk
+from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 from astrbot.api.event import AstrMessageEvent, MessageChain
 from astrbot.api.platform import AstrBotMessage, PlatformMetadata
-from astrbot.api.message_components import Plain, Image
+from astrbot.api.message_components import Plain, Image, Record
 from botpy import Client
 from botpy.http import Route
 from astrbot.api import logger
+from botpy.types.message import Media
 from botpy.types import message
+from typing import Optional
 import random
+import uuid
+import os
 
 
 class QQOfficialMessageEvent(AstrMessageEvent):
@@ -36,6 +44,7 @@ class QQOfficialMessageEvent(AstrMessageEvent):
         stream_payload = {"state": 1, "id": None, "index": 0, "reset": False}
         last_edit_time = 0  # 上次编辑消息的时间
         throttle_interval = 1  # 编辑消息的间隔时间 (秒)
+        ret = None
         try:
             async for chain in generator:
                 source = self.message_obj.raw_message
@@ -85,9 +94,15 @@ class QQOfficialMessageEvent(AstrMessageEvent):
             plain_text,
             image_base64,
             image_path,
+            record_file_path,
         ) = await QQOfficialMessageEvent._parse_to_qqofficial(self.send_buffer)
 
-        if not plain_text and not image_base64 and not image_path:
+        if (
+            not plain_text
+            and not image_base64
+            and not image_path
+            and not record_file_path
+        ):
             return
 
         payload = {
@@ -98,6 +113,8 @@ class QQOfficialMessageEvent(AstrMessageEvent):
         if not isinstance(source, (botpy.message.Message, botpy.message.DirectMessage)):
             payload["msg_seq"] = random.randint(1, 10000)
 
+        ret = None
+
         match type(source):
             case botpy.message.GroupMessage:
                 if image_base64:
@@ -106,6 +123,12 @@ class QQOfficialMessageEvent(AstrMessageEvent):
                     )
                     payload["media"] = media
                     payload["msg_type"] = 7
+                if record_file_path:  # group record msg
+                    media = await self.upload_group_and_c2c_record(
+                        record_file_path, 3, group_openid=source.group_openid
+                    )
+                    payload["media"] = media
+                    payload["msg_type"] = 7
                 ret = await self.bot.api.post_group_message(
                     group_openid=source.group_openid, **payload
                 )
@@ -116,6 +139,12 @@ class QQOfficialMessageEvent(AstrMessageEvent):
                     )
                     payload["media"] = media
                     payload["msg_type"] = 7
+                if record_file_path:  # c2c record
+                    media = await self.upload_group_and_c2c_record(
+                        record_file_path, 3, openid=source.author.user_openid
+                    )
+                    payload["media"] = media
+                    payload["msg_type"] = 7
                 if stream:
                     ret = await self.post_c2c_message(
                         openid=source.author.user_openid,
@@ -165,6 +194,56 @@ class QQOfficialMessageEvent(AstrMessageEvent):
             )
             return await self.bot.api._http.request(route, json=payload)
 
+    async def upload_group_and_c2c_record(
+        self, file_source: str, file_type: int, srv_send_msg: bool = False, **kwargs
+    ) -> Optional[Media]:
+        """
+        上传媒体文件
+        """
+        # 构建基础payload
+        payload = {"file_type": file_type, "srv_send_msg": srv_send_msg}
+
+        # 处理文件数据
+        if os.path.exists(file_source):
+            # 读取本地文件
+            async with aiofiles.open(file_source, "rb") as f:
+                file_content = await f.read()
+                # use base64 encode
+                payload["file_data"] = base64.b64encode(file_content).decode("utf-8")
+        else:
+            # 使用URL
+            payload["url"] = file_source
+
+        # 添加接收者信息和确定路由
+        if "openid" in kwargs:
+            payload["openid"] = kwargs["openid"]
+            route = Route("POST", "/v2/users/{openid}/files", openid=kwargs["openid"])
+        elif "group_openid" in kwargs:
+            payload["group_openid"] = kwargs["group_openid"]
+            route = Route(
+                "POST",
+                "/v2/groups/{group_openid}/files",
+                group_openid=kwargs["group_openid"],
+            )
+        else:
+            return None
+
+        try:
+            # 使用底层HTTP请求
+            result = await self.bot.api._http.request(route, json=payload)
+
+            if result:
+                return Media(
+                    file_uuid=result.get("file_uuid"),
+                    file_info=result.get("file_info"),
+                    ttl=result.get("ttl", 0),
+                    file_id=result.get("id", ""),
+                )
+        except Exception as e:
+            logger.error(f"上传请求错误: {e}")
+
+        return None
+
     async def post_c2c_message(
         self,
         openid: str,
@@ -191,6 +270,7 @@ class QQOfficialMessageEvent(AstrMessageEvent):
         plain_text = ""
         image_base64 = None  # only one img supported
         image_file_path = None
+        record_file_path = None
         for i in message.chain:
             if isinstance(i, Plain):
                 plain_text += i.text
@@ -206,6 +286,25 @@ class QQOfficialMessageEvent(AstrMessageEvent):
                 else:
                     image_base64 = file_to_base64(i.file)
                 image_base64 = image_base64.removeprefix("base64://")
+            elif isinstance(i, Record):
+                if i.file:
+                    record_wav_path = await i.convert_to_file_path()  # wav 路径
+                    temp_dir = os.path.join(get_astrbot_data_path(), "temp")
+                    record_tecent_silk_path = os.path.join(
+                        temp_dir, f"{uuid.uuid4()}.silk"
+                    )
+                    try:
+                        duration = await wav_to_tencent_silk(
+                            record_wav_path, record_tecent_silk_path
+                        )
+                        if duration > 0:
+                            record_file_path = record_tecent_silk_path
+                        else:
+                            record_file_path = None
+                            logger.error("转换音频格式时出错：音频时长不大于0")
+                    except Exception as e:
+                        logger.error(f"处理语音时出错: {e}")
+                        record_file_path = None
             else:
                 logger.debug(f"qq_official 忽略 {i.type}")
-        return plain_text, image_base64, image_file_path
+        return plain_text, image_base64, image_file_path, record_file_path

astrbot/core/platform/sources/satori/satori_adapter.py

@@ -0,0 +1,748 @@
+import asyncio
+import json
+import time
+import websockets
+from websockets.asyncio.client import connect
+from typing import Optional
+from aiohttp import ClientSession, ClientTimeout
+from websockets.asyncio.client import ClientConnection
+from astrbot.api import logger
+from astrbot.api.event import MessageChain
+from astrbot.api.platform import (
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    Platform,
+    PlatformMetadata,
+    register_platform_adapter,
+)
+from astrbot.core.platform.astr_message_event import MessageSession
+from astrbot.api.message_components import (
+    Plain,
+    Image,
+    At,
+    File,
+    Record,
+    Reply,
+)
+from xml.etree import ElementTree as ET
+
+
+@register_platform_adapter(
+    "satori",
+    "Satori 协议适配器",
+)
+class SatoriPlatformAdapter(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.api_base_url = self.config.get(
+            "satori_api_base_url", "http://localhost:5140/satori/v1"
+        )
+        self.token = self.config.get("satori_token", "")
+        self.endpoint = self.config.get(
+            "satori_endpoint", "ws://localhost:5140/satori/v1/events"
+        )
+        self.auto_reconnect = self.config.get("satori_auto_reconnect", True)
+        self.heartbeat_interval = self.config.get("satori_heartbeat_interval", 10)
+        self.reconnect_delay = self.config.get("satori_reconnect_delay", 5)
+
+        self.metadata = PlatformMetadata(
+            name="satori",
+            description="Satori 通用协议适配器",
+            id=self.config["id"],
+        )
+
+        self.ws: Optional[ClientConnection] = None
+        self.session: Optional[ClientSession] = None
+        self.sequence = 0
+        self.logins = []
+        self.running = False
+        self.heartbeat_task: Optional[asyncio.Task] = None
+        self.ready_received = False
+
+    async def send_by_session(
+        self, session: MessageSession, message_chain: MessageChain
+    ):
+        from .satori_event import SatoriPlatformEvent
+
+        await SatoriPlatformEvent.send_with_adapter(
+            self, message_chain, session.session_id
+        )
+        await super().send_by_session(session, message_chain)
+
+    def meta(self) -> PlatformMetadata:
+        return self.metadata
+
+    def _is_websocket_closed(self, ws) -> bool:
+        """检查WebSocket连接是否已关闭"""
+        if not ws:
+            return True
+        try:
+            if hasattr(ws, "closed"):
+                return ws.closed
+            elif hasattr(ws, "close_code"):
+                return ws.close_code is not None
+            else:
+                return False
+        except AttributeError:
+            return False
+
+    async def run(self):
+        self.running = True
+        self.session = ClientSession(timeout=ClientTimeout(total=30))
+
+        retry_count = 0
+        max_retries = 10
+
+        while self.running:
+            try:
+                await self.connect_websocket()
+                retry_count = 0
+            except websockets.exceptions.ConnectionClosed as e:
+                logger.warning(f"Satori WebSocket 连接关闭: {e}")
+                retry_count += 1
+            except Exception as e:
+                logger.error(f"Satori WebSocket 连接失败: {e}")
+                retry_count += 1
+
+            if not self.running:
+                break
+
+            if retry_count >= max_retries:
+                logger.error(f"达到最大重试次数 ({max_retries})，停止重试")
+                break
+
+            if not self.auto_reconnect:
+                break
+
+            delay = min(self.reconnect_delay * (2 ** (retry_count - 1)), 60)
+            await asyncio.sleep(delay)
+
+        if self.session:
+            await self.session.close()
+
+    async def connect_websocket(self):
+        logger.info(f"Satori 适配器正在连接到 WebSocket: {self.endpoint}")
+        logger.info(f"Satori 适配器 HTTP API 地址: {self.api_base_url}")
+
+        if not self.endpoint.startswith(("ws://", "wss://")):
+            logger.error(f"无效的WebSocket URL: {self.endpoint}")
+            raise ValueError(f"WebSocket URL必须以ws://或wss://开头: {self.endpoint}")
+
+        try:
+            websocket = await connect(self.endpoint, additional_headers={})
+            self.ws = websocket
+
+            await asyncio.sleep(0.1)
+
+            await self.send_identify()
+
+            self.heartbeat_task = asyncio.create_task(self.heartbeat_loop())
+
+            async for message in websocket:
+                try:
+                    await self.handle_message(message)  # type: ignore
+                except Exception as e:
+                    logger.error(f"Satori 处理消息异常: {e}")
+
+        except websockets.exceptions.ConnectionClosed as e:
+            logger.warning(f"Satori WebSocket 连接关闭: {e}")
+            raise
+        except Exception as e:
+            logger.error(f"Satori WebSocket 连接异常: {e}")
+            raise
+        finally:
+            if self.heartbeat_task:
+                self.heartbeat_task.cancel()
+                try:
+                    await self.heartbeat_task
+                except asyncio.CancelledError:
+                    pass
+            if self.ws:
+                try:
+                    await self.ws.close()
+                except Exception as e:
+                    logger.error(f"Satori WebSocket 关闭异常: {e}")
+
+    async def send_identify(self):
+        if not self.ws:
+            raise Exception("WebSocket连接未建立")
+
+        if self._is_websocket_closed(self.ws):
+            raise Exception("WebSocket连接已关闭")
+
+        identify_payload = {
+            "op": 3,  # IDENTIFY
+            "body": {
+                "token": str(self.token) if self.token else "",  # 字符串
+            },
+        }
+
+        # 只有在有序列号时才添加sn字段
+        if self.sequence > 0:
+            identify_payload["body"]["sn"] = self.sequence
+
+        try:
+            message_str = json.dumps(identify_payload, ensure_ascii=False)
+            await self.ws.send(message_str)
+        except websockets.exceptions.ConnectionClosed as e:
+            logger.error(f"发送 IDENTIFY 信令时连接关闭: {e}")
+            raise
+        except Exception as e:
+            logger.error(f"发送 IDENTIFY 信令失败: {e}")
+            raise
+
+    async def heartbeat_loop(self):
+        try:
+            while self.running and self.ws:
+                await asyncio.sleep(self.heartbeat_interval)
+
+                if self.ws and not self._is_websocket_closed(self.ws):
+                    try:
+                        ping_payload = {
+                            "op": 1,  # PING
+                            "body": {},
+                        }
+                        await self.ws.send(json.dumps(ping_payload, ensure_ascii=False))
+                    except websockets.exceptions.ConnectionClosed as e:
+                        logger.error(f"Satori WebSocket 连接关闭: {e}")
+                        break
+                    except Exception as e:
+                        logger.error(f"Satori WebSocket 发送心跳失败: {e}")
+                        break
+                else:
+                    break
+        except asyncio.CancelledError:
+            pass
+        except Exception as e:
+            logger.error(f"心跳任务异常: {e}")
+
+    async def handle_message(self, message: str):
+        try:
+            data = json.loads(message)
+            op = data.get("op")
+            body = data.get("body", {})
+
+            if op == 4:  # READY
+                self.logins = body.get("logins", [])
+                self.ready_received = True
+
+                # 输出连接成功的bot信息
+                if self.logins:
+                    for i, login in enumerate(self.logins):
+                        platform = login.get("platform", "")
+                        user = login.get("user", {})
+                        user_id = user.get("id", "")
+                        user_name = user.get("name", "")
+                        logger.info(
+                            f"Satori 连接成功 - Bot {i + 1}: platform={platform}, user_id={user_id}, user_name={user_name}"
+                        )
+
+                if "sn" in body:
+                    self.sequence = body["sn"]
+
+            elif op == 2:  # PONG
+                pass
+
+            elif op == 0:  # EVENT
+                await self.handle_event(body)
+                if "sn" in body:
+                    self.sequence = body["sn"]
+
+            elif op == 5:  # META
+                if "sn" in body:
+                    self.sequence = body["sn"]
+
+        except json.JSONDecodeError as e:
+            logger.error(f"解析 WebSocket 消息失败: {e}, 消息内容: {message}")
+        except Exception as e:
+            logger.error(f"处理 WebSocket 消息异常: {e}")
+
+    async def handle_event(self, event_data: dict):
+        try:
+            event_type = event_data.get("type")
+            sn = event_data.get("sn")
+            if sn:
+                self.sequence = sn
+
+            if event_type == "message-created":
+                message = event_data.get("message", {})
+                user = event_data.get("user", {})
+                channel = event_data.get("channel", {})
+                guild = event_data.get("guild")
+                login = event_data.get("login", {})
+                timestamp = event_data.get("timestamp")
+
+                if user.get("id") == login.get("user", {}).get("id"):
+                    return
+
+                abm = await self.convert_satori_message(
+                    message, user, channel, guild, login, timestamp
+                )
+                if abm:
+                    await self.handle_msg(abm)
+
+        except Exception as e:
+            logger.error(f"处理事件失败: {e}")
+
+    async def convert_satori_message(
+        self,
+        message: dict,
+        user: dict,
+        channel: dict,
+        guild: Optional[dict],
+        login: dict,
+        timestamp: Optional[int] = None,
+    ) -> Optional[AstrBotMessage]:
+        try:
+            abm = AstrBotMessage()
+            abm.message_id = message.get("id", "")
+            abm.raw_message = {
+                "message": message,
+                "user": user,
+                "channel": channel,
+                "guild": guild,
+                "login": login,
+            }
+
+            if guild and guild.get("id"):
+                abm.type = MessageType.GROUP_MESSAGE
+                abm.group_id = guild.get("id", "")
+                abm.session_id = channel.get("id", "")
+            else:
+                abm.type = MessageType.FRIEND_MESSAGE
+                abm.session_id = channel.get("id", "")
+
+            abm.sender = MessageMember(
+                user_id=user.get("id", ""),
+                nickname=user.get("nick", user.get("name", "")),
+            )
+
+            abm.self_id = login.get("user", {}).get("id", "")
+
+            # 消息链
+            abm.message = []
+
+            content = message.get("content", "")
+
+            quote = message.get("quote")
+            content_for_parsing = content  # 副本
+
+            # 提取<quote>标签
+            if "<quote" in content:
+                try:
+                    quote_info = await self._extract_quote_element(content)
+                    if quote_info:
+                        quote = quote_info["quote"]
+                        content_for_parsing = quote_info["content_without_quote"]
+                except Exception as e:
+                    logger.error(f"解析<quote>标签时发生错误: {e}, 错误内容: {content}")
+
+            if quote:
+                # 引用消息
+                quote_abm = await self._convert_quote_message(quote)
+                if quote_abm:
+                    sender_id = quote_abm.sender.user_id
+                    if isinstance(sender_id, str) and sender_id.isdigit():
+                        sender_id = int(sender_id)
+                    elif not isinstance(sender_id, int):
+                        sender_id = 0  # 默认值
+
+                    reply_component = Reply(
+                        id=quote_abm.message_id,
+                        chain=quote_abm.message,
+                        sender_id=quote_abm.sender.user_id,
+                        sender_nickname=quote_abm.sender.nickname,
+                        time=quote_abm.timestamp,
+                        message_str=quote_abm.message_str,
+                        text=quote_abm.message_str,
+                        qq=sender_id,
+                    )
+                    abm.message.append(reply_component)
+
+            # 解析消息内容
+            content_elements = await self.parse_satori_elements(content_for_parsing)
+            abm.message.extend(content_elements)
+
+            abm.message_str = ""
+            for comp in content_elements:
+                if isinstance(comp, Plain):
+                    abm.message_str += comp.text
+
+            # 优先使用Satori事件中的时间戳
+            if timestamp is not None:
+                abm.timestamp = timestamp
+            else:
+                abm.timestamp = int(time.time())
+
+            return abm
+
+        except Exception as e:
+            logger.error(f"转换 Satori 消息失败: {e}")
+            return None
+
+    def _extract_namespace_prefixes(self, content: str) -> set:
+        """提取XML内容中的命名空间前缀"""
+        prefixes = set()
+
+        # 查找所有标签
+        i = 0
+        while i < len(content):
+            # 查找开始标签
+            if content[i] == "<" and i + 1 < len(content) and content[i + 1] != "/":
+                # 找到标签结束位置
+                tag_end = content.find(">", i)
+                if tag_end != -1:
+                    # 提取标签内容
+                    tag_content = content[i + 1 : tag_end]
+                    # 检查是否有命名空间前缀
+                    if ":" in tag_content and "xmlns:" not in tag_content:
+                        # 分割标签名
+                        parts = tag_content.split()
+                        if parts:
+                            tag_name = parts[0]
+                            if ":" in tag_name:
+                                prefix = tag_name.split(":")[0]
+                                # 确保是有效的命名空间前缀
+                                if (
+                                    prefix.isalnum()
+                                    or prefix.replace("_", "").isalnum()
+                                ):
+                                    prefixes.add(prefix)
+                    i = tag_end + 1
+                else:
+                    i += 1
+            # 查找结束标签
+            elif content[i] == "<" and i + 1 < len(content) and content[i + 1] == "/":
+                # 找到标签结束位置
+                tag_end = content.find(">", i)
+                if tag_end != -1:
+                    # 提取标签内容
+                    tag_content = content[i + 2 : tag_end]
+                    # 检查是否有命名空间前缀
+                    if ":" in tag_content:
+                        prefix = tag_content.split(":")[0]
+                        # 确保是有效的命名空间前缀
+                        if prefix.isalnum() or prefix.replace("_", "").isalnum():
+                            prefixes.add(prefix)
+                    i = tag_end + 1
+                else:
+                    i += 1
+            else:
+                i += 1
+
+        return prefixes
+
+    async def _extract_quote_element(self, content: str) -> Optional[dict]:
+        """提取<quote>标签信息"""
+        try:
+            # 处理命名空间前缀问题
+            processed_content = content
+            if ":" in content and not content.startswith("<root"):
+                prefixes = self._extract_namespace_prefixes(content)
+
+                # 构建命名空间声明
+                ns_declarations = " ".join(
+                    [
+                        f'xmlns:{prefix}="http://temp.uri/{prefix}"'
+                        for prefix in prefixes
+                    ]
+                )
+
+                # 包装内容
+                processed_content = f"<root {ns_declarations}>{content}</root>"
+            elif not content.startswith("<root"):
+                processed_content = f"<root>{content}</root>"
+            else:
+                processed_content = content
+
+            root = ET.fromstring(processed_content)
+
+            # 查找<quote>标签
+            quote_element = None
+            for elem in root.iter():
+                tag_name = elem.tag
+                if "}" in tag_name:
+                    tag_name = tag_name.split("}")[1]
+                if tag_name.lower() == "quote":
+                    quote_element = elem
+                    break
+
+            if quote_element is not None:
+                # 提取quote标签的属性
+                quote_id = quote_element.get("id", "")
+
+                # 提取<quote>标签内部的内容
+                inner_content = ""
+                if quote_element.text:
+                    inner_content += quote_element.text
+                for child in quote_element:
+                    inner_content += ET.tostring(
+                        child, encoding="unicode", method="xml"
+                    )
+                    if child.tail:
+                        inner_content += child.tail
+
+                # 构造移除了<quote>标签的内容
+                content_without_quote = content.replace(
+                    ET.tostring(quote_element, encoding="unicode", method="xml"), ""
+                )
+
+                return {
+                    "quote": {"id": quote_id, "content": inner_content},
+                    "content_without_quote": content_without_quote,
+                }
+
+            return None
+        except Exception as e:
+            logger.error(f"提取<quote>标签时发生错误: {e}")
+            return None
+
+    async def _convert_quote_message(self, quote: dict) -> Optional[AstrBotMessage]:
+        """转换引用消息"""
+        try:
+            quote_abm = AstrBotMessage()
+            quote_abm.message_id = quote.get("id", "")
+
+            # 解析引用消息的发送者
+            quote_author = quote.get("author", {})
+            if quote_author:
+                quote_abm.sender = MessageMember(
+                    user_id=quote_author.get("id", ""),
+                    nickname=quote_author.get("nick", quote_author.get("name", "")),
+                )
+            else:
+                # 如果没有作者信息，使用默认值
+                quote_abm.sender = MessageMember(
+                    user_id=quote.get("user_id", ""),
+                    nickname="内容",
+                )
+
+            # 解析引用消息内容
+            quote_content = quote.get("content", "")
+            quote_abm.message = await self.parse_satori_elements(quote_content)
+
+            quote_abm.message_str = ""
+            for comp in quote_abm.message:
+                if isinstance(comp, Plain):
+                    quote_abm.message_str += comp.text
+
+            quote_abm.timestamp = int(quote.get("timestamp", time.time()))
+
+            # 如果没有任何内容，使用默认文本
+            if not quote_abm.message_str.strip():
+                quote_abm.message_str = "[引用消息]"
+
+            return quote_abm
+        except Exception as e:
+            logger.error(f"转换引用消息失败: {e}")
+            return None
+
+    async def parse_satori_elements(self, content: str) -> list:
+        """解析 Satori 消息元素"""
+        elements = []
+
+        if not content:
+            return elements
+
+        try:
+            # 处理命名空间前缀问题
+            processed_content = content
+            if ":" in content and not content.startswith("<root"):
+                prefixes = self._extract_namespace_prefixes(content)
+
+                # 构建命名空间声明
+                ns_declarations = " ".join(
+                    [
+                        f'xmlns:{prefix}="http://temp.uri/{prefix}"'
+                        for prefix in prefixes
+                    ]
+                )
+
+                # 包装内容
+                processed_content = f"<root {ns_declarations}>{content}</root>"
+            elif not content.startswith("<root"):
+                processed_content = f"<root>{content}</root>"
+            else:
+                processed_content = content
+
+            root = ET.fromstring(processed_content)
+            await self._parse_xml_node(root, elements)
+        except ET.ParseError as e:
+            logger.error(f"解析 Satori 元素时发生解析错误: {e}, 错误内容: {content}")
+            # 如果解析失败，将整个内容当作纯文本
+            if content.strip():
+                elements.append(Plain(text=content))
+        except Exception as e:
+            logger.error(f"解析 Satori 元素时发生未知错误: {e}")
+            raise e
+
+        # 如果没有解析到任何元素，将整个内容当作纯文本
+        if not elements and content.strip():
+            elements.append(Plain(text=content))
+
+        return elements
+
+    async def _parse_xml_node(self, node: ET.Element, elements: list) -> None:
+        """递归解析 XML 节点"""
+        if node.text and node.text.strip():
+            elements.append(Plain(text=node.text))
+
+        for child in node:
+            # 获取标签名，去除命名空间前缀
+            tag_name = child.tag
+            if "}" in tag_name:
+                tag_name = tag_name.split("}")[1]
+            tag_name = tag_name.lower()
+
+            attrs = child.attrib
+
+            if tag_name == "at":
+                user_id = attrs.get("id") or attrs.get("name", "")
+                elements.append(At(qq=user_id, name=user_id))
+
+            elif tag_name in ("img", "image"):
+                src = attrs.get("src", "")
+                if not src:
+                    continue
+                elements.append(Image(file=src))
+
+            elif tag_name == "file":
+                src = attrs.get("src", "")
+                name = attrs.get("name", "文件")
+                if src:
+                    elements.append(File(name=name, file=src))
+
+            elif tag_name in ("audio", "record"):
+                src = attrs.get("src", "")
+                if not src:
+                    continue
+                elements.append(Record(file=src))
+
+            elif tag_name == "quote":
+                # quote标签已经被特殊处理
+                pass
+
+            elif tag_name == "face":
+                face_id = attrs.get("id", "")
+                face_name = attrs.get("name", "")
+                face_type = attrs.get("type", "")
+
+                if face_name:
+                    elements.append(Plain(text=f"[表情:{face_name}]"))
+                elif face_id and face_type:
+                    elements.append(Plain(text=f"[表情ID:{face_id},类型:{face_type}]"))
+                elif face_id:
+                    elements.append(Plain(text=f"[表情ID:{face_id}]"))
+                else:
+                    elements.append(Plain(text="[表情]"))
+
+            elif tag_name == "ark":
+                # 作为纯文本添加到消息链中
+                data = attrs.get("data", "")
+                if data:
+                    import html
+
+                    decoded_data = html.unescape(data)
+                    elements.append(Plain(text=f"[ARK卡片数据: {decoded_data}]"))
+                else:
+                    elements.append(Plain(text="[ARK卡片]"))
+
+            elif tag_name == "json":
+                # JSON标签 视为ARK卡片消息
+                data = attrs.get("data", "")
+                if data:
+                    import html
+
+                    decoded_data = html.unescape(data)
+                    elements.append(Plain(text=f"[ARK卡片数据: {decoded_data}]"))
+                else:
+                    elements.append(Plain(text="[JSON卡片]"))
+
+            else:
+                # 未知标签，递归处理其内容
+                if child.text and child.text.strip():
+                    elements.append(Plain(text=child.text))
+                await self._parse_xml_node(child, elements)
+
+            # 处理标签后的文本
+            if child.tail and child.tail.strip():
+                elements.append(Plain(text=child.tail))
+
+    async def handle_msg(self, message: AstrBotMessage):
+        from .satori_event import SatoriPlatformEvent
+
+        message_event = SatoriPlatformEvent(
+            message_str=message.message_str,
+            message_obj=message,
+            platform_meta=self.meta(),
+            session_id=message.session_id,
+            adapter=self,
+        )
+        self.commit_event(message_event)
+
+    async def send_http_request(
+        self,
+        method: str,
+        path: str,
+        data: dict | None = None,
+        platform: str | None = None,
+        user_id: str | None = None,
+    ) -> dict:
+        if not self.session:
+            raise Exception("HTTP session 未初始化")
+
+        headers = {
+            "Content-Type": "application/json",
+        }
+
+        if self.token:
+            headers["Authorization"] = f"Bearer {self.token}"
+
+        if platform and user_id:
+            headers["satori-platform"] = platform
+            headers["satori-user-id"] = user_id
+        elif self.logins:
+            current_login = self.logins[0]
+            headers["satori-platform"] = current_login.get("platform", "")
+            user = current_login.get("user", {})
+            headers["satori-user-id"] = user.get("id", "") if user else ""
+
+        if not path.startswith("/"):
+            path = "/" + path
+
+        # 使用新的API地址配置
+        url = f"{self.api_base_url.rstrip('/')}{path}"
+
+        try:
+            async with self.session.request(
+                method, url, json=data, headers=headers
+            ) as response:
+                if response.status == 200:
+                    result = await response.json()
+                    return result
+                else:
+                    return {}
+        except Exception as e:
+            logger.error(f"Satori HTTP 请求异常: {e}")
+            return {}
+
+    async def terminate(self):
+        self.running = False
+
+        if self.heartbeat_task:
+            self.heartbeat_task.cancel()
+
+        if self.ws:
+            try:
+                await self.ws.close()
+            except Exception as e:
+                logger.error(f"Satori WebSocket 关闭异常: {e}")
+
+        if self.session:
+            await self.session.close()

astrbot/core/platform/sources/satori/satori_event.py

@@ -0,0 +1,230 @@
+from typing import TYPE_CHECKING
+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, At, File, Record
+
+if TYPE_CHECKING:
+    from .satori_adapter import SatoriPlatformAdapter
+
+
+class SatoriPlatformEvent(AstrMessageEvent):
+    def __init__(
+        self,
+        message_str: str,
+        message_obj: AstrBotMessage,
+        platform_meta: PlatformMetadata,
+        session_id: str,
+        adapter: "SatoriPlatformAdapter",
+    ):
+        # 更新平台元数据
+        if adapter and hasattr(adapter, "logins") and adapter.logins:
+            current_login = adapter.logins[0]
+            platform_name = current_login.get("platform", "satori")
+            user = current_login.get("user", {})
+            user_id = user.get("id", "") if user else ""
+            if not platform_meta.id and user_id:
+                platform_meta.id = f"{platform_name}({user_id})"
+
+        super().__init__(message_str, message_obj, platform_meta, session_id)
+        self.adapter = adapter
+        self.platform = None
+        self.user_id = None
+        if (
+            hasattr(message_obj, "raw_message")
+            and message_obj.raw_message
+            and isinstance(message_obj.raw_message, dict)
+        ):
+            login = message_obj.raw_message.get("login", {})
+            self.platform = login.get("platform")
+            user = login.get("user", {})
+            self.user_id = user.get("id") if user else None
+
+    @classmethod
+    async def send_with_adapter(
+        cls, adapter: "SatoriPlatformAdapter", message: MessageChain, session_id: str
+    ):
+        try:
+            content_parts = []
+
+            for component in message.chain:
+                if isinstance(component, Plain):
+                    text = (
+                        component.text.replace("&", "&")
+                        .replace("<", "&lt;")
+                        .replace(">", "&gt;")
+                    )
+                    content_parts.append(text)
+
+                elif isinstance(component, At):
+                    if component.qq:
+                        content_parts.append(f'<at id="{component.qq}"/>')
+                    elif component.name:
+                        content_parts.append(f'<at name="{component.name}"/>')
+
+                elif isinstance(component, Image):
+                    try:
+                        image_base64 = await component.convert_to_base64()
+                        if image_base64:
+                            content_parts.append(
+                                f'<img src="data:image/jpeg;base64,{image_base64}"/>'
+                            )
+                    except Exception as e:
+                        logger.error(f"图片转换为base64失败: {e}")
+
+                elif isinstance(component, File):
+                    content_parts.append(
+                        f'<file src="{component.file}" name="{component.name or "文件"}"/>'
+                    )
+
+                elif isinstance(component, Record):
+                    try:
+                        record_base64 = await component.convert_to_base64()
+                        if record_base64:
+                            content_parts.append(
+                                f'<audio src="data:audio/wav;base64,{record_base64}"/>'
+                            )
+                    except Exception as e:
+                        logger.error(f"语音转换为base64失败: {e}")
+
+            content = "".join(content_parts)
+            channel_id = session_id
+            data = {"channel_id": channel_id, "content": content}
+
+            platform = None
+            user_id = None
+
+            if hasattr(adapter, "logins") and adapter.logins:
+                current_login = adapter.logins[0]
+                platform = current_login.get("platform", "")
+                user = current_login.get("user", {})
+                user_id = user.get("id", "") if user else ""
+
+            result = await adapter.send_http_request(
+                "POST", "/message.create", data, platform, user_id
+            )
+            if result:
+                return result
+            else:
+                return None
+
+        except Exception as e:
+            logger.error(f"Satori 消息发送异常: {e}")
+            return None
+
+    async def send(self, message: MessageChain):
+        platform = getattr(self, "platform", None)
+        user_id = getattr(self, "user_id", None)
+
+        if not platform or not user_id:
+            if hasattr(self.adapter, "logins") and self.adapter.logins:
+                current_login = self.adapter.logins[0]
+                platform = current_login.get("platform", "")
+                user = current_login.get("user", {})
+                user_id = user.get("id", "") if user else ""
+
+        try:
+            content_parts = []
+
+            for component in message.chain:
+                if isinstance(component, Plain):
+                    text = (
+                        component.text.replace("&", "&amp;")
+                        .replace("<", "&lt;")
+                        .replace(">", "&gt;")
+                    )
+                    content_parts.append(text)
+
+                elif isinstance(component, At):
+                    if component.qq:
+                        content_parts.append(f'<at id="{component.qq}"/>')
+                    elif component.name:
+                        content_parts.append(f'<at name="{component.name}"/>')
+
+                elif isinstance(component, Image):
+                    try:
+                        image_base64 = await component.convert_to_base64()
+                        if image_base64:
+                            content_parts.append(
+                                f'<img src="data:image/jpeg;base64,{image_base64}"/>'
+                            )
+                    except Exception as e:
+                        logger.error(f"图片转换为base64失败: {e}")
+
+                elif isinstance(component, File):
+                    content_parts.append(
+                        f'<file src="{component.file}" name="{component.name or "文件"}"/>'
+                    )
+
+                elif isinstance(component, Record):
+                    try:
+                        record_base64 = await component.convert_to_base64()
+                        if record_base64:
+                            content_parts.append(
+                                f'<audio src="data:audio/wav;base64,{record_base64}"/>'
+                            )
+                    except Exception as e:
+                        logger.error(f"语音转换为base64失败: {e}")
+
+            content = "".join(content_parts)
+            channel_id = self.session_id
+            data = {"channel_id": channel_id, "content": content}
+
+            result = await self.adapter.send_http_request(
+                "POST", "/message.create", data, platform, user_id
+            )
+            if not result:
+                logger.error("Satori 消息发送失败")
+        except Exception as e:
+            logger.error(f"Satori 消息发送异常: {e}")
+
+        await super().send(message)
+
+    async def send_streaming(self, generator, use_fallback: bool = False):
+        try:
+            content_parts = []
+
+            async for chain in generator:
+                if isinstance(chain, MessageChain):
+                    if chain.type == "break":
+                        if content_parts:
+                            content = "".join(content_parts)
+                            temp_chain = MessageChain([Plain(text=content)])
+                            await self.send(temp_chain)
+                            content_parts = []
+                        continue
+
+                    for component in chain.chain:
+                        if isinstance(component, Plain):
+                            content_parts.append(component.text)
+                        elif isinstance(component, Image):
+                            if content_parts:
+                                content = "".join(content_parts)
+                                temp_chain = MessageChain([Plain(text=content)])
+                                await self.send(temp_chain)
+                                content_parts = []
+                            try:
+                                image_base64 = await component.convert_to_base64()
+                                if image_base64:
+                                    img_chain = MessageChain(
+                                        [
+                                            Plain(
+                                                text=f'<img src="data:image/jpeg;base64,{image_base64}"/>'
+                                            )
+                                        ]
+                                    )
+                                    await self.send(img_chain)
+                            except Exception as e:
+                                logger.error(f"图片转换为base64失败: {e}")
+                        else:
+                            content_parts.append(str(component))
+
+            if content_parts:
+                content = "".join(content_parts)
+                temp_chain = MessageChain([Plain(text=content)])
+                await self.send(temp_chain)
+
+        except Exception as e:
+            logger.error(f"Satori 流式消息发送异常: {e}")
+
+        return await super().send_streaming(generator, use_fallback)

astrbot/core/platform/sources/slack/slack_adapter.py

@@ -308,7 +308,9 @@ class SlackAdapter(Platform):
                     base64_content = base64.b64encode(content).decode("utf-8")
                     return base64_content
                 else:
-                    logger.error(f"Failed to download slack file: {resp.status} {await resp.text()}")
+                    logger.error(
+                        f"Failed to download slack file: {resp.status} {await resp.text()}"
+                    )
                     raise Exception(f"下载文件失败: {resp.status}")
 
     async def run(self) -> Awaitable[Any]:

astrbot/core/platform/sources/slack/slack_event.py

@@ -75,7 +75,13 @@ class SlackMessageEvent(AstrMessageEvent):
                     "text": {"type": "mrkdwn", "text": "文件上传失败"},
                 }
             file_url = response["files"][0]["permalink"]
-            return {"type": "section", "text": {"type": "mrkdwn", "text": f"文件: <{file_url}|{segment.name or '文件'}>"}}
+            return {
+                "type": "section",
+                "text": {
+                    "type": "mrkdwn",
+                    "text": f"文件: <{file_url}|{segment.name or '文件'}>",
+                },
+            }
         else:
             return {"type": "section", "text": {"type": "mrkdwn", "text": str(segment)}}
 

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

@@ -183,7 +183,6 @@ class TelegramPlatformAdapter(Platform):
             return None
 
         if not re.match(r"^[a-z0-9_]+$", cmd_name) or len(cmd_name) > 32:
-            logger.debug(f"跳过无法注册的命令: {cmd_name}")
             return None
 
         # Build description.

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

@@ -66,7 +66,9 @@ class TelegramPlatformEvent(AstrMessageEvent):
         return chunks
 
     @classmethod
-    async def send_with_client(cls, client: ExtBot, message: MessageChain, user_name: str):
+    async def send_with_client(
+        cls, client: ExtBot, message: MessageChain, user_name: str
+    ):
         image_path = None
 
         has_reply = False
@@ -216,7 +218,6 @@ class TelegramPlatformEvent(AstrMessageEvent):
                     try:
                         msg = await self.client.send_message(text=delta, **payload)
                         current_content = delta
-                        delta = ""
                     except Exception as e:
                         logger.warning(f"发送消息失败(streaming): {e!s}")
                     message_id = msg.message_id

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

@@ -77,7 +77,7 @@ class WebChatAdapter(Platform):
         os.makedirs(self.imgs_dir, exist_ok=True)
 
         self.metadata = PlatformMetadata(
-            name="webchat", description="webchat", id=self.config.get("id", "")
+            name="webchat", description="webchat", id="webchat"
         )
 
     async def send_by_session(

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

@@ -1,5 +1,6 @@
 import asyncio
 
+
 class WebChatQueueMgr:
     def __init__(self) -> None:
         self.queues = {}
@@ -30,4 +31,5 @@ class WebChatQueueMgr:
         """Check if a queue exists for the given conversation ID"""
         return conversation_id in self.queues
 
+
 webchat_queue_mgr = WebChatQueueMgr()

astrbot/core/platform/sources/wechatpadpro/wechatpadpro_adapter.py

@@ -213,10 +213,10 @@ class WeChatPadProAdapter(Platform):
     def _extract_auth_key(self, data):
         """Helper method to extract auth_key from response data."""
         if isinstance(data, dict):
-            auth_keys = data.get("authKeys") # 新接口
+            auth_keys = data.get("authKeys")  # 新接口
             if isinstance(auth_keys, list) and auth_keys:
                 return auth_keys[0]
-        elif isinstance(data, list) and data: # 旧接口
+        elif isinstance(data, list) and data:  # 旧接口
             return data[0]
         return None
 
@@ -234,7 +234,9 @@ class WeChatPadProAdapter(Platform):
             try:
                 async with session.post(url, params=params, json=payload) as response:
                     if response.status != 200:
-                        logger.error(f"生成授权码失败: {response.status}, {await response.text()}")
+                        logger.error(
+                            f"生成授权码失败: {response.status}, {await response.text()}"
+                        )
                         return
 
                     response_data = await response.json()
@@ -245,7 +247,9 @@ class WeChatPadProAdapter(Platform):
                         if self.auth_key:
                             logger.info("成功获取授权码")
                         else:
-                            logger.error(f"生成授权码成功但未找到授权码: {response_data}")
+                            logger.error(
+                                f"生成授权码成功但未找到授权码: {response_data}"
+                            )
                     else:
                         logger.error(f"生成授权码失败: {response_data}")
             except aiohttp.ClientConnectorError as e:

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

@@ -185,6 +185,7 @@ class WecomPlatformAdapter(Platform):
         return PlatformMetadata(
             "wecom",
             "wecom 适配器",
+            id=self.config.get("id", "wecom"),
         )
 
     @override

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

@@ -48,7 +48,12 @@ class WeChatKF(BaseWeChatAPI):
         注意：可能会出现返回条数少于limit的情况，需结合返回的has_more字段判断是否继续请求。
         :return: 接口调用结果
         """
-        data = {"token": token, "cursor": cursor, "limit": limit, "open_kfid": open_kfid}
+        data = {
+            "token": token,
+            "cursor": cursor,
+            "limit": limit,
+            "open_kfid": open_kfid,
+        }
         return self._post("kf/sync_msg", data=data)
 
     def get_service_state(self, open_kfid, external_userid):
@@ -72,7 +77,9 @@ class WeChatKF(BaseWeChatAPI):
         }
         return self._post("kf/service_state/get", data=data)
 
-    def trans_service_state(self, open_kfid, external_userid, service_state, servicer_userid=""):
+    def trans_service_state(
+        self, open_kfid, external_userid, service_state, servicer_userid=""
+    ):
         """
         变更会话状态
 
@@ -180,7 +187,9 @@ class WeChatKF(BaseWeChatAPI):
         """
         return self._get("kf/customer/get_upgrade_service_config")
 
-    def upgrade_service(self, open_kfid, external_userid, service_type, member=None, groupchat=None):
+    def upgrade_service(
+        self, open_kfid, external_userid, service_type, member=None, groupchat=None
+    ):
         """
         为客户升级为专员或客户群服务
 
@@ -246,7 +255,9 @@ class WeChatKF(BaseWeChatAPI):
         data = {"open_kfid": open_kfid, "start_time": start_time, "end_time": end_time}
         return self._post("kf/get_corp_statistic", data=data)
 
-    def get_servicer_statistic(self, start_time, end_time, open_kfid=None, servicer_userid=None):
+    def get_servicer_statistic(
+        self, start_time, end_time, open_kfid=None, servicer_userid=None
+    ):
         """
         获取「客户数据统计」接待人员明细数据
 

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

@@ -26,6 +26,7 @@ from optionaldict import optionaldict
 
 from wechatpy.client.api.base import BaseWeChatAPI
 
+
 class WeChatKFMessage(BaseWeChatAPI):
     """
     发送微信客服消息
@@ -125,35 +126,55 @@ class WeChatKFMessage(BaseWeChatAPI):
             msg={"msgtype": "news", "link": {"link": articles_data}},
         )
 
-    def send_msgmenu(self, user_id, open_kfid, head_content, menu_list, tail_content, msgid=""):
+    def send_msgmenu(
+        self, user_id, open_kfid, head_content, menu_list, tail_content, msgid=""
+    ):
         return self.send(
             user_id,
             open_kfid,
             msgid,
             msg={
                 "msgtype": "msgmenu",
-                "msgmenu": {"head_content": head_content, "list": menu_list, "tail_content": tail_content},
+                "msgmenu": {
+                    "head_content": head_content,
+                    "list": menu_list,
+                    "tail_content": tail_content,
+                },
             },
         )
 
-    def send_location(self, user_id, open_kfid, name, address, latitude, longitude, msgid=""):
+    def send_location(
+        self, user_id, open_kfid, name, address, latitude, longitude, msgid=""
+    ):
         return self.send(
             user_id,
             open_kfid,
             msgid,
             msg={
                 "msgtype": "location",
-                "msgmenu": {"name": name, "address": address, "latitude": latitude, "longitude": longitude},
+                "msgmenu": {
+                    "name": name,
+                    "address": address,
+                    "latitude": latitude,
+                    "longitude": longitude,
+                },
             },
         )
 
-    def send_miniprogram(self, user_id, open_kfid, appid, title, thumb_media_id, pagepath, msgid=""):
+    def send_miniprogram(
+        self, user_id, open_kfid, appid, title, thumb_media_id, pagepath, msgid=""
+    ):
         return self.send(
             user_id,
             open_kfid,
             msgid,
             msg={
                 "msgtype": "miniprogram",
-                "msgmenu": {"appid": appid, "title": title, "thumb_media_id": thumb_media_id, "pagepath": pagepath},
+                "msgmenu": {
+                    "appid": appid,
+                    "title": title,
+                    "thumb_media_id": thumb_media_id,
+                    "pagepath": pagepath,
+                },
             },
         )

astrbot/core/platform/sources/weixin_official_account/weixin_offacc_adapter.py

@@ -160,7 +160,9 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
                         self.wexin_event_workers[msg.id] = future
                         await self.convert_message(msg, future)
                     # I love shield so much!
-                    result = await asyncio.wait_for(asyncio.shield(future), 60)  # wait for 60s
+                    result = await asyncio.wait_for(
+                        asyncio.shield(future), 60
+                    )  # wait for 60s
                     logger.debug(f"Got future result: {result}")
                     self.wexin_event_workers.pop(msg.id, None)
                     return result  # xml. see weixin_offacc_event.py
@@ -182,6 +184,7 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
         return PlatformMetadata(
             "weixin_official_account",
             "微信公众平台 适配器",
+            id=self.config.get("id", "weixin_official_account"),
         )
 
     @override

astrbot/core/platform/sources/weixin_official_account/weixin_offacc_event.py

@@ -150,7 +150,6 @@ class WeixinOfficialAccountPlatformEvent(AstrMessageEvent):
                         return
                     logger.info(f"微信公众平台上传语音返回: {response}")
 
-
                     if active_send_mode:
                         self.client.message.send_voice(
                             message_obj.sender.user_id,

astrbot/core/platform_message_history_mgr.py

@@ -0,0 +1,47 @@
+from astrbot.core.db import BaseDatabase
+from astrbot.core.db.po import PlatformMessageHistory
+
+
+class PlatformMessageHistoryManager:
+    def __init__(self, db_helper: BaseDatabase):
+        self.db = db_helper
+
+    async def insert(
+        self,
+        platform_id: str,
+        user_id: str,
+        content: list[dict],  # TODO: parse from message chain
+        sender_id: str = None,
+        sender_name: str = None,
+    ):
+        """Insert a new platform message history record."""
+        await self.db.insert_platform_message_history(
+            platform_id=platform_id,
+            user_id=user_id,
+            content=content,
+            sender_id=sender_id,
+            sender_name=sender_name,
+        )
+
+    async def get(
+        self,
+        platform_id: str,
+        user_id: str,
+        page: int = 1,
+        page_size: int = 200,
+    ) -> list[PlatformMessageHistory]:
+        """Get platform message history for a specific user."""
+        history = await self.db.get_platform_message_history(
+            platform_id=platform_id,
+            user_id=user_id,
+            page=page,
+            page_size=page_size,
+        )
+        history.reverse()
+        return history
+
+    async def delete(self, platform_id: str, user_id: str, offset_sec: int = 86400):
+        """Delete platform message history records older than the specified offset."""
+        await self.db.delete_platform_message_offset(
+            platform_id=platform_id, user_id=user_id, offset_sec=offset_sec
+        )

astrbot/core/provider/entities.py

@@ -4,9 +4,11 @@ import json
 from astrbot.core.utils.io import download_image_by_url
 from astrbot import logger
 from dataclasses import dataclass, field
-from typing import List, Dict, Type
-from .func_tool_manager import FuncCall
+from typing import List, Dict, Type, Any
+from astrbot.core.agent.tool import ToolSet
 from openai.types.chat.chat_completion import ChatCompletion
+from google.genai.types import GenerateContentResponse
+from anthropic.types import Message
 from openai.types.chat.chat_completion_message_tool_call import (
     ChatCompletionMessageToolCall,
 )
@@ -20,6 +22,7 @@ class ProviderType(enum.Enum):
     SPEECH_TO_TEXT = "speech_to_text"
     TEXT_TO_SPEECH = "text_to_speech"
     EMBEDDING = "embedding"
+    RERANK = "rerank"
 
 
 @dataclass
@@ -29,11 +32,11 @@ class ProviderMetaData:
     desc: str = ""
     """提供商适配器描述."""
     provider_type: ProviderType = ProviderType.CHAT_COMPLETION
-    cls_type: Type = None
+    cls_type: Type | None = None
 
-    default_config_tmpl: dict = None
+    default_config_tmpl: dict | None = None
     """平台的默认配置模板"""
-    provider_display_name: str = None
+    provider_display_name: str | None = None
     """显示在 WebUI 配置页中的提供商名称，如空则是 type"""
 
 
@@ -57,18 +60,21 @@ class ToolCallMessageSegment:
 class AssistantMessageSegment:
     """OpenAI 格式的上下文中 role 为 assistant 的消息段。参考: https://platform.openai.com/docs/guides/function-calling"""
 
-    content: str = None
+    content: str | None = None
     tool_calls: List[ChatCompletionMessageToolCall | Dict] = field(default_factory=list)
     role: str = "assistant"
 
     def to_dict(self):
-        ret = {
+        ret: dict[str, str | list[dict]] = {
             "role": self.role,
         }
         if self.content:
             ret["content"] = self.content
         if self.tool_calls:
-            ret["tool_calls"] = self.tool_calls
+            tool_calls_dict = [
+                tc if isinstance(tc, dict) else tc.to_dict() for tc in self.tool_calls
+            ]
+            ret["tool_calls"] = tool_calls_dict
         return ret
 
 
@@ -97,7 +103,7 @@ class ProviderRequest:
     """会话 ID"""
     image_urls: list[str] = field(default_factory=list)
     """图片 URL 列表"""
-    func_tool: FuncCall | None = None
+    func_tool: ToolSet | None = None
     """可用的函数工具"""
     contexts: list[dict] = field(default_factory=list)
     """上下文。格式与 openai 的上下文格式一致：
@@ -114,7 +120,14 @@ class ProviderRequest:
     """模型名称，为 None 时使用提供商的默认模型"""
 
     def __repr__(self):
-        return f"ProviderRequest(prompt={self.prompt}, session_id={self.session_id}, image_urls={self.image_urls}, func_tool={self.func_tool}, contexts={self._print_friendly_context()}, system_prompt={self.system_prompt.strip()}, tool_calls_result={self.tool_calls_result})"
+        return (
+            f"ProviderRequest(prompt={self.prompt}, session_id={self.session_id}, "
+            f"image_count={len(self.image_urls or [])}, "
+            f"func_tool={self.func_tool}, "
+            f"contexts={self._print_friendly_context()}, "
+            f"system_prompt={self.system_prompt}, "
+            f"conversation_id={self.conversation.cid if self.conversation else 'N/A'}, "
+        )
 
     def __str__(self):
         return self.__repr__()
@@ -204,17 +217,17 @@ class ProviderRequest:
 class LLMResponse:
     role: str
     """角色, assistant, tool, err"""
-    result_chain: MessageChain = None
+    result_chain: MessageChain | None = None
     """返回的消息链"""
-    tools_call_args: List[Dict[str, any]] = field(default_factory=list)
+    tools_call_args: List[Dict[str, Any]] = field(default_factory=list)
     """工具调用参数"""
     tools_call_name: List[str] = field(default_factory=list)
     """工具调用名称"""
     tools_call_ids: List[str] = field(default_factory=list)
     """工具调用 ID"""
 
-    raw_completion: ChatCompletion = None
-    _new_record: Dict[str, any] = None
+    raw_completion: ChatCompletion | GenerateContentResponse | Message | None = None
+    _new_record: Dict[str, Any] | None = None
 
     _completion_text: str = ""
 
@@ -225,12 +238,12 @@ class LLMResponse:
         self,
         role: str,
         completion_text: str = "",
-        result_chain: MessageChain = None,
-        tools_call_args: List[Dict[str, any]] = None,
-        tools_call_name: List[str] = None,
-        tools_call_ids: List[str] = None,
-        raw_completion: ChatCompletion = None,
-        _new_record: Dict[str, any] = None,
+        result_chain: MessageChain | None = None,
+        tools_call_args: List[Dict[str, Any]] | None = None,
+        tools_call_name: List[str] | None = None,
+        tools_call_ids: List[str] | None = None,
+        raw_completion: ChatCompletion | None = None,
+        _new_record: Dict[str, Any] | None = None,
         is_chunk: bool = False,
     ):
         """初始化 LLMResponse
@@ -293,3 +306,11 @@ class LLMResponse:
                 }
             )
         return ret
+
+
+@dataclass
+class RerankResult:
+    index: int
+    """在候选列表中的索引位置"""
+    relevance_score: float
+    """相关性分数"""

astrbot/core/provider/func_tool_manager.py

@@ -1,32 +1,17 @@
 from __future__ import annotations
 import json
-import textwrap
 import os
 import asyncio
-import logging
-from datetime import timedelta
+import aiohttp
 
-from typing import Dict, List, Awaitable, Literal, Any
-from dataclasses import dataclass
-from typing import Optional
-from contextlib import AsyncExitStack
+from typing import Dict, List, Awaitable, Callable, Any
 from astrbot import logger
-from astrbot.core.utils.log_pipe import LogPipe
+from astrbot.core import sp
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
+from astrbot.core.agent.mcp_client import MCPClient
+from astrbot.core.agent.tool import ToolSet, FunctionTool
 
-try:
-    import mcp
-    from mcp.client.sse import sse_client
-except (ModuleNotFoundError, ImportError):
-    logger.warning("警告: 缺少依赖库 'mcp'，将无法使用 MCP 服务。")
-
-try:
-    from mcp.client.streamable_http import streamablehttp_client
-except (ModuleNotFoundError, ImportError):
-    logger.warning(
-        "警告: 缺少依赖库 'mcp' 或者 mcp 库版本过低，无法使用 Streamable HTTP 连接方式。"
-    )
 
 DEFAULT_MCP_CONFIG = {"mcpServers": {}}
 
@@ -39,6 +24,10 @@ SUPPORTED_TYPES = [
 ]  # json schema 支持的数据类型
 
 
+# alias
+FuncTool = FunctionTool
+
+
 def _prepare_config(config: dict) -> dict:
     """准备配置，处理嵌套格式"""
     if "mcpServers" in config and config["mcpServers"]:
@@ -105,181 +94,9 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
         return False, f"{e!s}"
 
 
-@dataclass
-class FuncTool:
-    """
-    用于描述一个函数调用工具。
-    """
-
-    name: str
-    parameters: Dict
-    description: str
-    handler: Awaitable = None
-    """处理函数, 当 origin 为 mcp 时，这个为空"""
-    handler_module_path: str = None
-    """处理函数的模块路径，当 origin 为 mcp 时，这个为空
-
-    必须要保留这个字段, handler 在初始化会被 functools.partial 包装，导致 handler 的 __module__ 为 functools
-    """
-    active: bool = True
-    """是否激活"""
-
-    origin: Literal["local", "mcp"] = "local"
-    """函数工具的来源, local 为本地函数工具, mcp 为 MCP 服务"""
-
-    # MCP 相关字段
-    mcp_server_name: str = None
-    """MCP 服务名称，当 origin 为 mcp 时有效"""
-    mcp_client: MCPClient = None
-    """MCP 客户端，当 origin 为 mcp 时有效"""
-
-    def __repr__(self):
-        return f"FuncTool(name={self.name}, parameters={self.parameters}, description={self.description}, active={self.active}, origin={self.origin})"
-
-    async def execute(self, **args) -> Any:
-        """执行函数调用"""
-        if self.origin == "local":
-            if not self.handler:
-                raise Exception(f"Local function {self.name} has no handler")
-            return await self.handler(**args)
-        elif self.origin == "mcp":
-            if not self.mcp_client or not self.mcp_client.session:
-                raise Exception(f"MCP client for {self.name} is not available")
-            # 使用name属性而不是额外的mcp_tool_name
-            actual_tool_name = (
-                self.name.split(":")[-1] if ":" in self.name else self.name
-            )
-            return await self.mcp_client.session.call_tool(actual_tool_name, args)
-        else:
-            raise Exception(f"Unknown function origin: {self.origin}")
-
-
-class MCPClient:
-    def __init__(self):
-        # Initialize session and client objects
-        self.session: Optional[mcp.ClientSession] = None
-        self.exit_stack = AsyncExitStack()
-
-        self.name = None
-        self.active: bool = True
-        self.tools: List[mcp.Tool] = []
-        self.server_errlogs: List[str] = []
-        self.running_event = asyncio.Event()
-
-    async def connect_to_server(self, mcp_server_config: dict, name: str):
-        """连接到 MCP 服务器
-
-        如果 `url` 参数存在：
-            1. 当 transport 指定为 `streamable_http` 时，使用 Streamable HTTP 连接方式。
-            1. 当 transport 指定为 `sse` 时，使用 SSE 连接方式。
-            2. 如果没有指定，默认使用 SSE 的方式连接到 MCP 服务。
-
-        Args:
-            mcp_server_config (dict): Configuration for the MCP server. See https://modelcontextprotocol.io/quickstart/server
-        """
-        cfg = _prepare_config(mcp_server_config.copy())
-
-        def logging_callback(msg: str):
-            # 处理 MCP 服务的错误日志
-            print(f"MCP Server {name} Error: {msg}")
-            self.server_errlogs.append(msg)
-
-        if "url" in cfg:
-            success, error_msg = await _quick_test_mcp_connection(cfg)
-            if not success:
-                raise Exception(error_msg)
-
-            if cfg.get("transport") != "streamable_http":
-                # SSE transport method
-                self._streams_context = sse_client(
-                    url=cfg["url"],
-                    headers=cfg.get("headers", {}),
-                    timeout=cfg.get("timeout", 5),
-                    sse_read_timeout=cfg.get("sse_read_timeout", 60 * 5),
-                )
-                streams = await self.exit_stack.enter_async_context(
-                    self._streams_context
-                )
-
-                # Create a new client session
-                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 20))
-                self.session = await self.exit_stack.enter_async_context(
-                    mcp.ClientSession(
-                        *streams,
-                        read_timeout_seconds=read_timeout,
-                        logging_callback=logging_callback,  # type: ignore
-                    )
-                )
-            else:
-                timeout = timedelta(seconds=cfg.get("timeout", 30))
-                sse_read_timeout = timedelta(
-                    seconds=cfg.get("sse_read_timeout", 60 * 5)
-                )
-                self._streams_context = streamablehttp_client(
-                    url=cfg["url"],
-                    headers=cfg.get("headers", {}),
-                    timeout=timeout,
-                    sse_read_timeout=sse_read_timeout,
-                    terminate_on_close=cfg.get("terminate_on_close", True),
-                )
-                read_s, write_s, _ = await self.exit_stack.enter_async_context(
-                    self._streams_context
-                )
-
-                # Create a new client session
-                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 20))
-                self.session = await self.exit_stack.enter_async_context(
-                    mcp.ClientSession(
-                        read_stream=read_s,
-                        write_stream=write_s,
-                        read_timeout_seconds=read_timeout,
-                        logging_callback=logging_callback,  # type: ignore
-                    )
-                )
-
-        else:
-            server_params = mcp.StdioServerParameters(
-                **cfg,
-            )
-
-            def callback(msg: str):
-                # 处理 MCP 服务的错误日志
-                self.server_errlogs.append(msg)
-
-            stdio_transport = await self.exit_stack.enter_async_context(
-                mcp.stdio_client(
-                    server_params,
-                    errlog=LogPipe(
-                        level=logging.ERROR,
-                        logger=logger,
-                        identifier=f"MCPServer-{name}",
-                        callback=callback,
-                    ),  # type: ignore
-                ),
-            )
-
-            # Create a new client session
-            self.session = await self.exit_stack.enter_async_context(
-                mcp.ClientSession(*stdio_transport)
-            )
-        await self.session.initialize()
-
-    async def list_tools_and_save(self) -> mcp.ListToolsResult:
-        """List all tools from the server and save them to self.tools"""
-        response = await self.session.list_tools()
-        self.tools = response.tools
-        return response
-
-    async def cleanup(self):
-        """Clean up resources"""
-        await self.exit_stack.aclose()
-        self.running_event.set()  # Set the running event to indicate cleanup is done
-
-
-class FuncCall:
+class FunctionToolManager:
     def __init__(self) -> None:
         self.func_list: List[FuncTool] = []
-        """内部加载的 func tools"""
         self.mcp_client_dict: Dict[str, MCPClient] = {}
         """MCP 服务列表"""
         self.mcp_client_event: Dict[str, asyncio.Event] = {}
@@ -287,12 +104,35 @@ class FuncCall:
     def empty(self) -> bool:
         return len(self.func_list) == 0
 
+    def spec_to_func(
+        self,
+        name: str,
+        func_args: list,
+        desc: str,
+        handler: Callable[..., Awaitable[Any]],
+    ) -> FuncTool:
+        params = {
+            "type": "object",  # hard-coded here
+            "properties": {},
+        }
+        for param in func_args:
+            params["properties"][param["name"]] = {
+                "type": param["type"],
+                "description": param["description"],
+            }
+        return FuncTool(
+            name=name,
+            parameters=params,
+            description=desc,
+            handler=handler,
+        )
+
     def add_func(
         self,
         name: str,
         func_args: list,
         desc: str,
-        handler: Awaitable,
+        handler: Callable[..., Awaitable[Any]],
     ) -> None:
         """添加函数调用工具
 
@@ -304,22 +144,14 @@ class FuncCall:
         # check if the tool has been added before
         self.remove_func(name)
 
-        params = {
-            "type": "object",  # hard-coded here
-            "properties": {},
-        }
-        for param in func_args:
-            params["properties"][param["name"]] = {
-                "type": param["type"],
-                "description": param["description"],
-            }
-        _func = FuncTool(
-            name=name,
-            parameters=params,
-            description=desc,
-            handler=handler,
+        self.func_list.append(
+            self.spec_to_func(
+                name=name,
+                func_args=func_args,
+                desc=desc,
+                handler=handler,
+            )
         )
-        self.func_list.append(_func)
         logger.info(f"添加函数调用工具: {name}")
 
     def remove_func(self, name: str) -> None:
@@ -331,11 +163,15 @@ class FuncCall:
                 self.func_list.pop(i)
                 break
 
-    def get_func(self, name) -> FuncTool:
+    def get_func(self, name) -> FuncTool | None:
         for f in self.func_list:
             if f.name == name:
                 return f
-        return None
+
+    def get_full_tool_set(self) -> ToolSet:
+        """获取完整工具集"""
+        tool_set = ToolSet(self.func_list.copy())
+        return tool_set
 
     async def init_mcp_clients(self) -> None:
         """从项目根目录读取 mcp_server.json 文件，初始化 MCP 服务列表。文件格式如下：
@@ -384,7 +220,7 @@ class FuncCall:
         name: str,
         cfg: dict,
         event: asyncio.Event,
-        ready_future: asyncio.Future = None,
+        ready_future: asyncio.Future | None = None,
     ) -> None:
         """初始化 MCP 客户端的包装函数，用于捕获异常"""
         try:
@@ -556,203 +392,179 @@ class FuncCall:
         """
         获得 OpenAI API 风格的**已经激活**的工具描述
         """
-        _l = []
-        # 处理所有工具（包括本地和MCP工具）
-        for f in self.func_list:
-            if not f.active:
-                continue
-            func_ = {
-                "type": "function",
-                "function": {
-                    "name": f.name,
-                    # "parameters": f.parameters,
-                    "description": f.description,
-                },
-            }
-            func_["function"]["parameters"] = f.parameters
-            if not f.parameters.get("properties") and omit_empty_parameter_field:
-                # 如果 properties 为空，并且 omit_empty_parameter_field 为 True，则删除 parameters 字段
-                del func_["function"]["parameters"]
-            _l.append(func_)
-        return _l
+        tools = [f for f in self.func_list if f.active]
+        toolset = ToolSet(tools)
+        return toolset.openai_schema(
+            omit_empty_parameter_field=omit_empty_parameter_field
+        )
 
     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
+        tools = [f for f in self.func_list if f.active]
+        toolset = ToolSet(tools)
+        return toolset.anthropic_schema()
 
     def get_func_desc_google_genai_style(self) -> dict:
         """
         获得 Google GenAI API 风格的**已经激活**的工具描述
         """
+        tools = [f for f in self.func_list if f.active]
+        toolset = ToolSet(tools)
+        return toolset.google_schema()
 
-        # Gemini API 支持的数据类型和格式
-        supported_types = {
-            "string",
-            "number",
-            "integer",
-            "boolean",
-            "array",
-            "object",
-            "null",
-        }
-        supported_formats = {
-            "string": {"enum", "date-time"},
-            "integer": {"int32", "int64"},
-            "number": {"float", "double"},
-        }
+    def deactivate_llm_tool(self, name: str) -> bool:
+        """停用一个已经注册的函数调用工具。
 
-        def convert_schema(schema: dict) -> dict:
-            """转换 schema 为 Gemini API 格式"""
+        Returns:
+            如果没找到，会返回 False"""
+        func_tool = self.get_func(name)
+        if func_tool is not None:
+            func_tool.active = False
 
-            # 如果 schema 包含 anyOf，则只返回 anyOf 字段
-            if "anyOf" in schema:
-                return {"anyOf": [convert_schema(s) for s in schema["anyOf"]]}
-
-            result = {}
-
-            if "type" in schema and schema["type"] in supported_types:
-                result["type"] = schema["type"]
-                if "format" in schema and schema["format"] in supported_formats.get(
-                    result["type"], set()
-                ):
-                    result["format"] = schema["format"]
-            else:
-                # 暂时指定默认为null
-                result["type"] = "null"
-
-            support_fields = {
-                "title",
-                "description",
-                "enum",
-                "minimum",
-                "maximum",
-                "maxItems",
-                "minItems",
-                "nullable",
-                "required",
-            }
-            result.update({k: schema[k] for k in support_fields if k in schema})
-
-            if "properties" in schema:
-                properties = {}
-                for key, value in schema["properties"].items():
-                    prop_value = convert_schema(value)
-                    if "default" in prop_value:
-                        del prop_value["default"]
-                    properties[key] = prop_value
-
-                if properties:  # 只在有非空属性时添加
-                    result["properties"] = properties
-
-            if "items" in schema:
-                result["items"] = convert_schema(schema["items"])
-
-            return result
-
-        tools = [
-            {
-                "name": f.name,
-                "description": f.description,
-                **({"parameters": convert_schema(f.parameters)}),
-            }
-            for f in self.func_list
-            if f.active
-        ]
-
-        declarations = {}
-        if tools:
-            declarations["function_declarations"] = tools
-        return declarations
-
-    async def func_call(self, question: str, session_id: str, provider) -> tuple:
-        _l = []
-        for f in self.func_list:
-            if not f.active:
-                continue
-            _l.append(
-                {
-                    "name": f.name,
-                    "parameters": f.parameters,
-                    "description": f.description,
-                }
+            inactivated_llm_tools: list = sp.get(
+                "inactivated_llm_tools", [], scope="global", scope_id="global"
             )
-        func_definition = json.dumps(_l, ensure_ascii=False)
+            if name not in inactivated_llm_tools:
+                inactivated_llm_tools.append(name)
+                sp.put(
+                    "inactivated_llm_tools",
+                    inactivated_llm_tools,
+                    scope="global",
+                    scope_id="global",
+                )
 
-        prompt = textwrap.dedent(f"""
-            ROLE:
-            你是一个 Function calling AI Agent, 你的任务是将用户的提问转化为函数调用。
+            return True
+        return False
 
-            TOOLS:
-            可用的函数列表:
+    # 因为不想解决循环引用，所以这里直接传入 star_map 先了...
+    def activate_llm_tool(self, name: str, star_map: dict) -> bool:
+        func_tool = self.get_func(name)
+        if func_tool is not None:
+            if func_tool.handler_module_path in star_map:
+                if not star_map[func_tool.handler_module_path].activated:
+                    raise ValueError(
+                        f"此函数调用工具所属的插件 {star_map[func_tool.handler_module_path].name} 已被禁用，请先在管理面板启用再激活此工具。"
+                    )
 
-            {func_definition}
+            func_tool.active = True
 
-            LIMIT:
-            1. 你返回的内容应当能够被 Python 的 json 模块解析的 Json 格式字符串。
-            2. 你的 Json 返回的格式如下：`[{{"name": "<func_name>", "args": <arg_dict>}}, ...]`。参数根据上面提供的函数列表中的参数来填写。
-            3. 允许必要时返回多个函数调用，但需保证这些函数调用的顺序正确。
-            4. 如果用户的提问中不需要用到给定的函数，请直接返回 `{{"res": False}}`。
+            inactivated_llm_tools: list = sp.get(
+                "inactivated_llm_tools", [], scope="global", scope_id="global"
+            )
+            if name in inactivated_llm_tools:
+                inactivated_llm_tools.remove(name)
+                sp.put(
+                    "inactivated_llm_tools",
+                    inactivated_llm_tools,
+                    scope="global",
+                    scope_id="global",
+                )
 
-            EXAMPLE:
-            1. `用户提问`：请问一下天气怎么样？ `函数调用`：[{{"name": "get_weather", "args": {{"city": "北京"}}}}]
+            return True
+        return False
 
-            用户的提问是：{question}
-        """)
+    @property
+    def mcp_config_path(self):
+        data_dir = get_astrbot_data_path()
+        return os.path.join(data_dir, "mcp_server.json")
 
-        _c = 0
-        while _c < 3:
-            try:
-                res = await provider.text_chat(prompt, session_id)
-                if res.find("```") != -1:
-                    res = res[res.find("```json") + 7 : res.rfind("```")]
-                res = json.loads(res)
-                break
-            except Exception as e:
-                _c += 1
-                if _c == 3:
-                    raise e
-                if "The message you submitted was too long" in str(e):
-                    raise e
+    def load_mcp_config(self):
+        if not os.path.exists(self.mcp_config_path):
+            # 配置文件不存在，创建默认配置
+            os.makedirs(os.path.dirname(self.mcp_config_path), exist_ok=True)
+            with open(self.mcp_config_path, "w", encoding="utf-8") as f:
+                json.dump(DEFAULT_MCP_CONFIG, f, ensure_ascii=False, indent=4)
+            return DEFAULT_MCP_CONFIG
 
-        if "res" in res and not res["res"]:
-            return "", False
+        try:
+            with open(self.mcp_config_path, "r", encoding="utf-8") as f:
+                return json.load(f)
+        except Exception as e:
+            logger.error(f"加载 MCP 配置失败: {e}")
+            return DEFAULT_MCP_CONFIG
 
-        tool_call_result = []
-        for tool in res:
-            # 说明有函数调用
-            func_name = tool["name"]
-            args = tool["args"]
-            # 调用函数
-            func_tool = self.get_func(func_name)
-            if not func_tool:
-                raise Exception(f"Request function {func_name} not found.")
+    def save_mcp_config(self, config: dict):
+        try:
+            with open(self.mcp_config_path, "w", encoding="utf-8") as f:
+                json.dump(config, f, ensure_ascii=False, indent=4)
+            return True
+        except Exception as e:
+            logger.error(f"保存 MCP 配置失败: {e}")
+            return False
 
-            ret = await func_tool.execute(**args)
-            if ret:
-                tool_call_result.append(str(ret))
-        return tool_call_result, True
+    async def sync_modelscope_mcp_servers(self, access_token: str) -> None:
+        """从 ModelScope 平台同步 MCP 服务器配置"""
+        base_url = "https://www.modelscope.cn/openapi/v1"
+        url = f"{base_url}/mcp/servers/operational"
+        headers = {
+            "Authorization": f"Bearer {access_token.strip()}",
+            "Content-Type": "application/json",
+        }
+
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.get(url, headers=headers) as response:
+                    if response.status == 200:
+                        data = await response.json()
+                        mcp_server_list = data.get("data", {}).get(
+                            "mcp_server_list", []
+                        )
+                        local_mcp_config = self.load_mcp_config()
+
+                        synced_count = 0
+                        for server in mcp_server_list:
+                            server_name = server["name"]
+                            operational_urls = server.get("operational_urls", [])
+                            if not operational_urls:
+                                continue
+                            url_info = operational_urls[0]
+                            server_url = url_info.get("url")
+                            if not server_url:
+                                continue
+                            # 添加到配置中(同名会覆盖)
+                            local_mcp_config["mcpServers"][server_name] = {
+                                "url": server_url,
+                                "transport": "sse",
+                                "active": True,
+                                "provider": "modelscope",
+                            }
+                            synced_count += 1
+
+                        if synced_count > 0:
+                            self.save_mcp_config(local_mcp_config)
+                            tasks = []
+                            for server in mcp_server_list:
+                                name = server["name"]
+                                tasks.append(
+                                    self.enable_mcp_server(
+                                        name=name,
+                                        config=local_mcp_config["mcpServers"][name],
+                                    )
+                                )
+                            await asyncio.gather(*tasks)
+                            logger.info(
+                                f"从 ModelScope 同步了 {synced_count} 个 MCP 服务器"
+                            )
+                        else:
+                            logger.warning("没有找到可用的 ModelScope MCP 服务器")
+                    else:
+                        raise Exception(
+                            f"ModelScope API 请求失败: HTTP {response.status}"
+                        )
+
+        except aiohttp.ClientError as e:
+            raise Exception(f"网络连接错误: {str(e)}")
+        except Exception as e:
+            raise Exception(f"同步 ModelScope MCP 服务器时发生错误: {str(e)}")
 
     def __str__(self):
         return str(self.func_list)
 
     def __repr__(self):
         return str(self.func_list)
+
+
+# alias
+FuncCall = FunctionToolManager

astrbot/core/provider/manager.py

@@ -3,89 +3,38 @@ import traceback
 from typing import List
 
 from astrbot.core import logger, sp
-from astrbot.core.config.astrbot_config import AstrBotConfig
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 from astrbot.core.db import BaseDatabase
 
 from .entities import ProviderType
-from .provider import Personality, Provider, STTProvider, TTSProvider, EmbeddingProvider
+from .provider import (
+    Provider,
+    STTProvider,
+    TTSProvider,
+    EmbeddingProvider,
+    RerankProvider,
+)
 from .register import llm_tools, provider_cls_map
+from ..persona_mgr import PersonaManager
 
 
 class ProviderManager:
-    def __init__(self, config: AstrBotConfig, db_helper: BaseDatabase):
+    def __init__(
+        self,
+        acm: AstrBotConfigManager,
+        db_helper: BaseDatabase,
+        persona_mgr: PersonaManager,
+    ):
+        self.persona_mgr = persona_mgr
+        self.acm = acm
+        config = acm.confs["default"]
         self.providers_config: List = config["provider"]
         self.provider_settings: dict = config["provider_settings"]
         self.provider_stt_settings: dict = config.get("provider_stt_settings", {})
         self.provider_tts_settings: dict = config.get("provider_tts_settings", {})
-        self.persona_configs: list = config.get("persona", [])
-        self.astrbot_config = config
 
-        # 人格情景管理
-        # 目前没有拆成独立的模块
-        self.default_persona_name = self.provider_settings.get(
-            "default_personality", "default"
-        )
-        self.personas: List[Personality] = []
-        self.selected_default_persona = None
-        for persona in self.persona_configs:
-            begin_dialogs = persona.get("begin_dialogs", [])
-            mood_imitation_dialogs = persona.get("mood_imitation_dialogs", [])
-            bd_processed = []
-            mid_processed = ""
-            if begin_dialogs:
-                if len(begin_dialogs) % 2 != 0:
-                    logger.error(
-                        f"{persona['name']} 人格情景预设对话格式不对，条数应该为偶数。"
-                    )
-                    begin_dialogs = []
-                user_turn = True
-                for dialog in begin_dialogs:
-                    bd_processed.append(
-                        {
-                            "role": "user" if user_turn else "assistant",
-                            "content": dialog,
-                            "_no_save": None,  # 不持久化到 db
-                        }
-                    )
-                    user_turn = not user_turn
-            if mood_imitation_dialogs:
-                if len(mood_imitation_dialogs) % 2 != 0:
-                    logger.error(
-                        f"{persona['name']} 对话风格对话格式不对，条数应该为偶数。"
-                    )
-                    mood_imitation_dialogs = []
-                user_turn = True
-                for dialog in mood_imitation_dialogs:
-                    role = "A" if user_turn else "B"
-                    mid_processed += f"{role}: {dialog}\n"
-                    if not user_turn:
-                        mid_processed += "\n"
-                    user_turn = not user_turn
-
-            try:
-                persona = Personality(
-                    **persona,
-                    _begin_dialogs_processed=bd_processed,
-                    _mood_imitation_dialogs_processed=mid_processed,
-                )
-                if persona["name"] == self.default_persona_name:
-                    self.selected_default_persona = persona
-                self.personas.append(persona)
-            except Exception as e:
-                logger.error(f"解析 Persona 配置失败：{e}")
-
-        if not self.selected_default_persona and len(self.personas) > 0:
-            # 默认选择第一个
-            self.selected_default_persona = self.personas[0]
-
-        if not self.selected_default_persona:
-            self.selected_default_persona = Personality(
-                prompt="You are a helpful and friendly assistant.",
-                name="default",
-                _begin_dialogs_processed=[],
-                _mood_imitation_dialogs_processed="",
-            )
-            self.personas.append(self.selected_default_persona)
+        # 人格相关属性，v4.0.0 版本后被废弃，推荐使用 PersonaManager
+        self.default_persona_name = persona_mgr.default_persona
 
         self.provider_insts: List[Provider] = []
         """加载的 Provider 的实例"""
@@ -95,51 +44,133 @@ class ProviderManager:
         """加载的 Text To Speech Provider 的实例"""
         self.embedding_provider_insts: List[EmbeddingProvider] = []
         """加载的 Embedding Provider 的实例"""
-        self.inst_map: dict[str, Provider] = {}
+        self.rerank_provider_insts: List[RerankProvider] = []
+        """加载的 Rerank Provider 的实例"""
+        self.inst_map: dict[
+            str,
+            Provider | STTProvider | TTSProvider | EmbeddingProvider | RerankProvider,
+        ] = {}
         """Provider 实例映射. key: provider_id, value: Provider 实例"""
         self.llm_tools = llm_tools
 
         self.curr_provider_inst: Provider | None = None
-        """默认的 Provider 实例"""
+        """默认的 Provider 实例。已弃用，请使用 get_using_provider() 方法获取当前使用的 Provider 实例。"""
         self.curr_stt_provider_inst: STTProvider | None = None
-        """默认的 Speech To Text Provider 实例"""
+        """默认的 Speech To Text Provider 实例。已弃用，请使用 get_using_provider() 方法获取当前使用的 Provider 实例。"""
         self.curr_tts_provider_inst: TTSProvider | None = None
-        """默认的 Text To Speech Provider 实例"""
+        """默认的 Text To Speech Provider 实例。已弃用，请使用 get_using_provider() 方法获取当前使用的 Provider 实例。"""
         self.db_helper = db_helper
 
-        # kdb(experimental)
-        self.curr_kdb_name = ""
-        kdb_cfg = config.get("knowledge_db", {})
-        if kdb_cfg and len(kdb_cfg):
-            self.curr_kdb_name = list(kdb_cfg.keys())[0]
+    @property
+    def persona_configs(self) -> list:
+        """动态获取最新的 persona 配置"""
+        return self.persona_mgr.persona_v3_config
+
+    @property
+    def personas(self) -> list:
+        """动态获取最新的 personas 列表"""
+        return self.persona_mgr.personas_v3
+
+    @property
+    def selected_default_persona(self):
+        """动态获取最新的默认选中 persona。已弃用，请使用 context.persona_mgr.get_default_persona_v3()"""
+        return self.persona_mgr.selected_default_persona_v3
 
     async def set_provider(
-        self, provider_id: str, provider_type: ProviderType, umo: str = None
+        self, provider_id: str, provider_type: ProviderType, umo: str | None = None
     ):
         """设置提供商。
 
         Args:
             provider_id (str): 提供商 ID。
             provider_type (ProviderType): 提供商类型。
-            umo (str, optional): 用户会话 ID，用于提供商会话隔离。当用户启用了提供商会话隔离时此参数才生效。
+            umo (str, optional): 用户会话 ID，用于提供商会话隔离。
+
+        Version 4.0.0: 这个版本下已经默认隔离提供商
         """
         if provider_id not in self.inst_map:
             raise ValueError(f"提供商 {provider_id} 不存在，无法设置。")
-        if umo and self.provider_settings["separate_provider"]:
-            perf = sp.get("session_provider_perf", {})
-            session_perf = perf.get(umo, {})
-            session_perf[provider_type.value] = provider_id
-            perf[umo] = session_perf
-            sp.put("session_provider_perf", perf)
+        if umo:
+            await sp.session_put(
+                umo,
+                f"provider_perf_{provider_type.value}",
+                provider_id,
+            )
             return
         # 不启用提供商会话隔离模式的情况
-        self.curr_provider_inst = self.inst_map[provider_id]
-        if provider_type == ProviderType.TEXT_TO_SPEECH:
-            sp.put("curr_provider_tts", provider_id)
-        elif provider_type == ProviderType.SPEECH_TO_TEXT:
-            sp.put("curr_provider_stt", provider_id)
-        elif provider_type == ProviderType.CHAT_COMPLETION:
-            sp.put("curr_provider", provider_id)
+
+        prov = self.inst_map[provider_id]
+        if provider_type == ProviderType.TEXT_TO_SPEECH and isinstance(
+            prov, TTSProvider
+        ):
+            self.curr_tts_provider_inst = prov
+            sp.put("curr_provider_tts", provider_id, scope="global", scope_id="global")
+        elif provider_type == ProviderType.SPEECH_TO_TEXT and isinstance(
+            prov, STTProvider
+        ):
+            self.curr_stt_provider_inst = prov
+            sp.put("curr_provider_stt", provider_id, scope="global", scope_id="global")
+        elif provider_type == ProviderType.CHAT_COMPLETION and isinstance(
+            prov, Provider
+        ):
+            self.curr_provider_inst = prov
+            sp.put("curr_provider", provider_id, scope="global", scope_id="global")
+
+    async def get_provider_by_id(self, provider_id: str) -> Provider | None:
+        """根据提供商 ID 获取提供商实例"""
+        return self.inst_map.get(provider_id)
+
+    def get_using_provider(
+        self, provider_type: ProviderType, umo=None
+    ) -> Provider | STTProvider | TTSProvider | None:
+        """获取正在使用的提供商实例。
+
+        Args:
+            provider_type (ProviderType): 提供商类型。
+            umo (str, optional): 用户会话 ID，用于提供商会话隔离。
+
+        Returns:
+            Provider: 正在使用的提供商实例。
+        """
+        provider = None
+        if umo:
+            provider_id = sp.get(
+                f"provider_perf_{provider_type.value}",
+                None,
+                scope="umo",
+                scope_id=umo,
+            )
+            if provider_id:
+                provider = self.inst_map.get(provider_id)
+        if not provider:
+            # default setting
+            config = self.acm.get_conf(umo)
+            if provider_type == ProviderType.CHAT_COMPLETION:
+                provider_id = config["provider_settings"].get("default_provider_id")
+                provider = self.inst_map.get(provider_id)
+                if not provider:
+                    provider = self.provider_insts[0] if self.provider_insts else None
+            elif provider_type == ProviderType.SPEECH_TO_TEXT:
+                provider_id = config["provider_stt_settings"].get("provider_id")
+                if not provider_id:
+                    return None
+                provider = self.inst_map.get(provider_id)
+                if not provider:
+                    provider = (
+                        self.stt_provider_insts[0] if self.stt_provider_insts else None
+                    )
+            elif provider_type == ProviderType.TEXT_TO_SPEECH:
+                provider_id = config["provider_tts_settings"].get("provider_id")
+                if not provider_id:
+                    return None
+                provider = self.inst_map.get(provider_id)
+                if not provider:
+                    provider = (
+                        self.tts_provider_insts[0] if self.tts_provider_insts else None
+                    )
+            else:
+                raise ValueError(f"Unknown provider type: {provider_type}")
+        return provider
 
     async def initialize(self):
         # 逐个初始化提供商
@@ -148,13 +179,22 @@ class ProviderManager:
 
         # 设置默认提供商
         selected_provider_id = sp.get(
-            "curr_provider", self.provider_settings.get("default_provider_id")
+            "curr_provider",
+            self.provider_settings.get("default_provider_id"),
+            scope="global",
+            scope_id="global",
         )
         selected_stt_provider_id = sp.get(
-            "curr_provider_stt", self.provider_stt_settings.get("provider_id")
+            "curr_provider_stt",
+            self.provider_stt_settings.get("provider_id"),
+            scope="global",
+            scope_id="global",
         )
         selected_tts_provider_id = sp.get(
-            "curr_provider_tts", self.provider_tts_settings.get("provider_id")
+            "curr_provider_tts",
+            self.provider_tts_settings.get("provider_id"),
+            scope="global",
+            scope_id="global",
         )
         self.curr_provider_inst = self.inst_map.get(selected_provider_id)
         if not self.curr_provider_inst and self.provider_insts:
@@ -194,6 +234,8 @@ class ProviderManager:
                     )
                 case "dify":
                     from .sources.dify_source import ProviderDify as ProviderDify
+                case "coze":
+                    from .sources.coze_source import ProviderCoze as ProviderCoze
                 case "dashscope":
                     from .sources.dashscope_source import (
                         ProviderDashscope as ProviderDashscope,
@@ -262,6 +304,10 @@ class ProviderManager:
                     from .sources.gemini_embedding_source import (
                         GeminiEmbeddingProvider as GeminiEmbeddingProvider,
                     )
+                case "vllm_rerank":
+                    from .sources.vllm_rerank_source import (
+                        VLLMRerankProvider as VLLMRerankProvider,
+                    )
         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。"
@@ -282,12 +328,14 @@ class ProviderManager:
         provider_metadata = provider_cls_map[provider_config["type"]]
         try:
             # 按任务实例化提供商
+            cls_type = provider_metadata.cls_type
+            if not cls_type:
+                logger.error(f"无法找到 {provider_metadata.type} 的类")
+                return
 
             if provider_metadata.provider_type == ProviderType.SPEECH_TO_TEXT:
                 # STT 任务
-                inst = provider_metadata.cls_type(
-                    provider_config, self.provider_settings
-                )
+                inst = cls_type(provider_config, self.provider_settings)
 
                 if getattr(inst, "initialize", None):
                     await inst.initialize()
@@ -306,9 +354,7 @@ class ProviderManager:
 
             elif provider_metadata.provider_type == ProviderType.TEXT_TO_SPEECH:
                 # TTS 任务
-                inst = provider_metadata.cls_type(
-                    provider_config, self.provider_settings
-                )
+                inst = cls_type(provider_config, self.provider_settings)
 
                 if getattr(inst, "initialize", None):
                     await inst.initialize()
@@ -324,7 +370,7 @@ class ProviderManager:
 
             elif provider_metadata.provider_type == ProviderType.CHAT_COMPLETION:
                 # 文本生成任务
-                inst = provider_metadata.cls_type(
+                inst = cls_type(
                     provider_config,
                     self.provider_settings,
                     self.selected_default_persona,
@@ -346,12 +392,15 @@ class ProviderManager:
                     self.curr_provider_inst = inst
 
             elif provider_metadata.provider_type == ProviderType.EMBEDDING:
-                inst = provider_metadata.cls_type(
-                    provider_config, self.provider_settings
-                )
+                inst = cls_type(provider_config, self.provider_settings)
                 if getattr(inst, "initialize", None):
                     await inst.initialize()
                 self.embedding_provider_insts.append(inst)
+            elif provider_metadata.provider_type == ProviderType.RERANK:
+                inst = cls_type(provider_config, self.provider_settings)
+                if getattr(inst, "initialize", None):
+                    await inst.initialize()
+                self.rerank_provider_insts.append(inst)
 
             self.inst_map[provider_config["id"]] = inst
         except Exception as e:
@@ -367,6 +416,7 @@ class ProviderManager:
 
         # 和配置文件保持同步
         config_ids = [provider["id"] for provider in self.providers_config]
+        logger.debug(f"providers in user's config: {config_ids}")
         for key in list(self.inst_map.keys()):
             if key not in config_ids:
                 await self.terminate_provider(key)
@@ -405,11 +455,17 @@ class ProviderManager:
             )
 
             if self.inst_map[provider_id] in self.provider_insts:
-                self.provider_insts.remove(self.inst_map[provider_id])
+                prov_inst = self.inst_map[provider_id]
+                if isinstance(prov_inst, Provider):
+                    self.provider_insts.remove(prov_inst)
             if self.inst_map[provider_id] in self.stt_provider_insts:
-                self.stt_provider_insts.remove(self.inst_map[provider_id])
+                prov_inst = self.inst_map[provider_id]
+                if isinstance(prov_inst, STTProvider):
+                    self.stt_provider_insts.remove(prov_inst)
             if self.inst_map[provider_id] in self.tts_provider_insts:
-                self.tts_provider_insts.remove(self.inst_map[provider_id])
+                prov_inst = self.inst_map[provider_id]
+                if isinstance(prov_inst, TTSProvider):
+                    self.tts_provider_insts.remove(prov_inst)
 
             if self.inst_map[provider_id] == self.curr_provider_inst:
                 self.curr_provider_inst = None

astrbot/core/provider/provider.py

@@ -1,23 +1,18 @@
 import abc
 from typing import List
-from typing import TypedDict, AsyncGenerator
-from astrbot.core.provider.func_tool_manager import FuncCall
-from astrbot.core.provider.entities import LLMResponse, ToolCallsResult, ProviderType
+from typing import AsyncGenerator
+from astrbot.core.agent.tool import ToolSet
+from astrbot.core.provider.entities import (
+    LLMResponse,
+    ToolCallsResult,
+    ProviderType,
+    RerankResult,
+)
 from astrbot.core.provider.register import provider_cls_map
+from astrbot.core.db.po import Personality
 from dataclasses import dataclass
 
 
-class Personality(TypedDict):
-    prompt: str = ""
-    name: str = ""
-    begin_dialogs: List[str] = []
-    mood_imitation_dialogs: List[str] = []
-
-    # cache
-    _begin_dialogs_processed: List[dict] = []
-    _mood_imitation_dialogs_processed: str = ""
-
-
 @dataclass
 class ProviderMeta:
     id: str
@@ -90,7 +85,7 @@ class Provider(AbstractProvider):
         prompt: str,
         session_id: str = None,
         image_urls: list[str] = None,
-        func_tool: FuncCall = None,
+        func_tool: ToolSet = None,
         contexts: list = None,
         system_prompt: str = None,
         tool_calls_result: ToolCallsResult | list[ToolCallsResult] = None,
@@ -119,7 +114,7 @@ class Provider(AbstractProvider):
         prompt: str,
         session_id: str = None,
         image_urls: list[str] = None,
-        func_tool: FuncCall = None,
+        func_tool: ToolSet = None,
         contexts: list = None,
         system_prompt: str = None,
         tool_calls_result: ToolCallsResult | list[ToolCallsResult] = None,
@@ -206,3 +201,17 @@ class EmbeddingProvider(AbstractProvider):
     def get_dim(self) -> int:
         """获取向量的维度"""
         ...
+
+
+class RerankProvider(AbstractProvider):
+    def __init__(self, provider_config: dict, provider_settings: dict) -> None:
+        super().__init__(provider_config)
+        self.provider_config = provider_config
+        self.provider_settings = provider_settings
+
+    @abc.abstractmethod
+    async def rerank(
+        self, query: str, documents: list[str], top_n: int | None = None
+    ) -> list[RerankResult]:
+        """获取查询和文档的重排序分数"""
+        ...

astrbot/core/provider/sources/coze_api_client.py

@@ -0,0 +1,314 @@
+import json
+import asyncio
+import aiohttp
+import io
+from typing import Dict, List, Any, AsyncGenerator
+from astrbot.core import logger
+
+
+class CozeAPIClient:
+    def __init__(self, api_key: str, api_base: str = "https://api.coze.cn"):
+        self.api_key = api_key
+        self.api_base = api_base
+        self.session = None
+
+    async def _ensure_session(self):
+        """确保HTTP session存在"""
+        if self.session is None:
+            connector = aiohttp.TCPConnector(
+                ssl=False if self.api_base.startswith("http://") else True,
+                limit=100,
+                limit_per_host=30,
+                keepalive_timeout=30,
+                enable_cleanup_closed=True,
+            )
+            timeout = aiohttp.ClientTimeout(
+                total=120,  # 默认超时时间
+                connect=30,
+                sock_read=120,
+            )
+            headers = {
+                "Authorization": f"Bearer {self.api_key}",
+                "Accept": "text/event-stream",
+            }
+            self.session = aiohttp.ClientSession(
+                headers=headers, timeout=timeout, connector=connector
+            )
+        return self.session
+
+    async def upload_file(
+        self,
+        file_data: bytes,
+    ) -> str:
+        """上传文件到 Coze 并返回 file_id
+
+        Args:
+            file_data (bytes): 文件的二进制数据
+        Returns:
+            str: 上传成功后返回的 file_id
+        """
+        session = await self._ensure_session()
+        url = f"{self.api_base}/v1/files/upload"
+
+        try:
+            file_io = io.BytesIO(file_data)
+            async with session.post(
+                url,
+                data={
+                    "file": file_io,
+                },
+                timeout=aiohttp.ClientTimeout(total=60),
+            ) as response:
+                if response.status == 401:
+                    raise Exception("Coze API 认证失败，请检查 API Key 是否正确")
+
+                response_text = await response.text()
+                logger.debug(
+                    f"文件上传响应状态: {response.status}, 内容: {response_text}"
+                )
+
+                if response.status != 200:
+                    raise Exception(
+                        f"文件上传失败，状态码: {response.status}, 响应: {response_text}"
+                    )
+
+                try:
+                    result = await response.json()
+                except json.JSONDecodeError:
+                    raise Exception(f"文件上传响应解析失败: {response_text}")
+
+                if result.get("code") != 0:
+                    raise Exception(f"文件上传失败: {result.get('msg', '未知错误')}")
+
+                file_id = result["data"]["id"]
+                logger.debug(f"[Coze] 图片上传成功，file_id: {file_id}")
+                return file_id
+
+        except asyncio.TimeoutError:
+            logger.error("文件上传超时")
+            raise Exception("文件上传超时")
+        except Exception as e:
+            logger.error(f"文件上传失败: {str(e)}")
+            raise Exception(f"文件上传失败: {str(e)}")
+
+    async def download_image(self, image_url: str) -> bytes:
+        """下载图片并返回字节数据
+
+        Args:
+            image_url (str): 图片的URL
+        Returns:
+            bytes: 图片的二进制数据
+        """
+        session = await self._ensure_session()
+
+        try:
+            async with session.get(image_url) as response:
+                if response.status != 200:
+                    raise Exception(f"下载图片失败，状态码: {response.status}")
+
+                image_data = await response.read()
+                return image_data
+
+        except Exception as e:
+            logger.error(f"下载图片失败 {image_url}: {str(e)}")
+            raise Exception(f"下载图片失败: {str(e)}")
+
+    async def chat_messages(
+        self,
+        bot_id: str,
+        user_id: str,
+        additional_messages: List[Dict] | None = None,
+        conversation_id: str | None = None,
+        auto_save_history: bool = True,
+        stream: bool = True,
+        timeout: float = 120,
+    ) -> AsyncGenerator[Dict[str, Any], None]:
+        """发送聊天消息并返回流式响应
+
+        Args:
+            bot_id: Bot ID
+            user_id: 用户ID
+            additional_messages: 额外消息列表
+            conversation_id: 会话ID
+            auto_save_history: 是否自动保存历史
+            stream: 是否流式响应
+            timeout: 超时时间
+        """
+        session = await self._ensure_session()
+        url = f"{self.api_base}/v3/chat"
+
+        payload = {
+            "bot_id": bot_id,
+            "user_id": user_id,
+            "stream": stream,
+            "auto_save_history": auto_save_history,
+        }
+
+        if additional_messages:
+            payload["additional_messages"] = additional_messages
+
+        params = {}
+        if conversation_id:
+            params["conversation_id"] = conversation_id
+
+        logger.debug(f"Coze chat_messages payload: {payload}, params: {params}")
+
+        try:
+            async with session.post(
+                url,
+                json=payload,
+                params=params,
+                timeout=aiohttp.ClientTimeout(total=timeout),
+            ) as response:
+                if response.status == 401:
+                    raise Exception("Coze API 认证失败，请检查 API Key 是否正确")
+
+                if response.status != 200:
+                    raise Exception(f"Coze API 流式请求失败，状态码: {response.status}")
+
+                # SSE
+                buffer = ""
+                event_type = None
+                event_data = None
+
+                async for chunk in response.content:
+                    if chunk:
+                        buffer += chunk.decode("utf-8", errors="ignore")
+                        lines = buffer.split("\n")
+                        buffer = lines[-1]
+
+                        for line in lines[:-1]:
+                            line = line.strip()
+
+                            if not line:
+                                if event_type and event_data:
+                                    yield {"event": event_type, "data": event_data}
+                                    event_type = None
+                                    event_data = None
+                            elif line.startswith("event:"):
+                                event_type = line[6:].strip()
+                            elif line.startswith("data:"):
+                                data_str = line[5:].strip()
+                                if data_str and data_str != "[DONE]":
+                                    try:
+                                        event_data = json.loads(data_str)
+                                    except json.JSONDecodeError:
+                                        event_data = {"content": data_str}
+
+        except asyncio.TimeoutError:
+            raise Exception(f"Coze API 流式请求超时 ({timeout}秒)")
+        except Exception as e:
+            raise Exception(f"Coze API 流式请求失败: {str(e)}")
+
+    async def clear_context(self, conversation_id: str):
+        """清空会话上下文
+
+        Args:
+            conversation_id: 会话ID
+        Returns:
+            dict: API响应结果
+        """
+        session = await self._ensure_session()
+        url = f"{self.api_base}/v3/conversation/message/clear_context"
+        payload = {"conversation_id": conversation_id}
+
+        try:
+            async with session.post(url, json=payload) as response:
+                response_text = await response.text()
+
+                if response.status == 401:
+                    raise Exception("Coze API 认证失败，请检查 API Key 是否正确")
+
+                if response.status != 200:
+                    raise Exception(f"Coze API 请求失败，状态码: {response.status}")
+
+                try:
+                    return json.loads(response_text)
+                except json.JSONDecodeError:
+                    raise Exception("Coze API 返回非JSON格式")
+
+        except asyncio.TimeoutError:
+            raise Exception("Coze API 请求超时")
+        except aiohttp.ClientError as e:
+            raise Exception(f"Coze API 请求失败: {str(e)}")
+
+    async def get_message_list(
+        self,
+        conversation_id: str,
+        order: str = "desc",
+        limit: int = 10,
+        offset: int = 0,
+    ):
+        """获取消息列表
+
+        Args:
+            conversation_id: 会话ID
+            order: 排序方式 (asc/desc)
+            limit: 限制数量
+            offset: 偏移量
+        Returns:
+            dict: API响应结果
+        """
+        session = await self._ensure_session()
+        url = f"{self.api_base}/v3/conversation/message/list"
+        params = {
+            "conversation_id": conversation_id,
+            "order": order,
+            "limit": limit,
+            "offset": offset,
+        }
+
+        try:
+            async with session.get(url, params=params) as response:
+                response.raise_for_status()
+                return await response.json()
+
+        except Exception as e:
+            logger.error(f"获取Coze消息列表失败: {str(e)}")
+            raise Exception(f"获取Coze消息列表失败: {str(e)}")
+
+    async def close(self):
+        """关闭会话"""
+        if self.session:
+            await self.session.close()
+            self.session = None
+
+
+if __name__ == "__main__":
+    import os
+    import asyncio
+
+    async def test_coze_api_client():
+        api_key = os.getenv("COZE_API_KEY", "")
+        bot_id = os.getenv("COZE_BOT_ID", "")
+        client = CozeAPIClient(api_key=api_key)
+
+        try:
+            with open("README.md", "rb") as f:
+                file_data = f.read()
+            file_id = await client.upload_file(file_data)
+            print(f"Uploaded file_id: {file_id}")
+            async for event in client.chat_messages(
+                bot_id=bot_id,
+                user_id="test_user",
+                additional_messages=[
+                    {
+                        "role": "user",
+                        "content": json.dumps(
+                            [
+                                {"type": "text", "text": "这是什么"},
+                                {"type": "file", "file_id": file_id},
+                            ],
+                            ensure_ascii=False,
+                        ),
+                        "content_type": "object_string",
+                    },
+                ],
+                stream=True,
+            ):
+                print(f"Event: {event}")
+
+        finally:
+            await client.close()
+
+    asyncio.run(test_coze_api_client())

astrbot/core/provider/sources/coze_source.py

@@ -0,0 +1,635 @@
+import json
+import os
+import base64
+import hashlib
+from typing import AsyncGenerator, Dict
+from astrbot.core.message.message_event_result import MessageChain
+import astrbot.core.message.components as Comp
+from astrbot.api.provider import Provider
+from astrbot import logger
+from astrbot.core.provider.entities import LLMResponse
+from ..register import register_provider_adapter
+from .coze_api_client import CozeAPIClient
+
+
+@register_provider_adapter("coze", "Coze (扣子) 智能体适配器")
+class ProviderCoze(Provider):
+    def __init__(
+        self,
+        provider_config,
+        provider_settings,
+        default_persona=None,
+    ) -> None:
+        super().__init__(
+            provider_config,
+            provider_settings,
+            default_persona,
+        )
+        self.api_key = provider_config.get("coze_api_key", "")
+        if not self.api_key:
+            raise Exception("Coze API Key 不能为空。")
+        self.bot_id = provider_config.get("bot_id", "")
+        if not self.bot_id:
+            raise Exception("Coze Bot ID 不能为空。")
+        self.api_base: str = provider_config.get("coze_api_base", "https://api.coze.cn")
+
+        if not isinstance(self.api_base, str) or not self.api_base.startswith(
+            ("http://", "https://")
+        ):
+            raise Exception(
+                "Coze API Base URL 格式不正确，必须以 http:// 或 https:// 开头。"
+            )
+
+        self.timeout = provider_config.get("timeout", 120)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+        self.auto_save_history = provider_config.get("auto_save_history", True)
+        self.conversation_ids: Dict[str, str] = {}
+        self.file_id_cache: Dict[str, Dict[str, str]] = {}
+
+        # 创建 API 客户端
+        self.api_client = CozeAPIClient(api_key=self.api_key, api_base=self.api_base)
+
+    def _generate_cache_key(self, data: str, is_base64: bool = False) -> str:
+        """生成统一的缓存键
+
+        Args:
+            data: 图片数据或路径
+            is_base64: 是否是 base64 数据
+
+        Returns:
+            str: 缓存键
+        """
+
+        try:
+            if is_base64 and data.startswith("data:image/"):
+                try:
+                    header, encoded = data.split(",", 1)
+                    image_bytes = base64.b64decode(encoded)
+                    cache_key = hashlib.md5(image_bytes).hexdigest()
+                    return cache_key
+                except Exception:
+                    cache_key = hashlib.md5(encoded.encode("utf-8")).hexdigest()
+                    return cache_key
+            else:
+                if data.startswith(("http://", "https://")):
+                    # URL图片，使用URL作为缓存键
+                    cache_key = hashlib.md5(data.encode("utf-8")).hexdigest()
+                    return cache_key
+                else:
+                    clean_path = (
+                        data.split("_")[0]
+                        if "_" in data and len(data.split("_")) >= 3
+                        else data
+                    )
+
+                    if os.path.exists(clean_path):
+                        with open(clean_path, "rb") as f:
+                            file_content = f.read()
+                        cache_key = hashlib.md5(file_content).hexdigest()
+                        return cache_key
+                    else:
+                        cache_key = hashlib.md5(clean_path.encode("utf-8")).hexdigest()
+                        return cache_key
+
+        except Exception as e:
+            cache_key = hashlib.md5(data.encode("utf-8")).hexdigest()
+            logger.debug(f"[Coze] 异常文件缓存键: {cache_key}, error={e}")
+            return cache_key
+
+    async def _upload_file(
+        self,
+        file_data: bytes,
+        session_id: str | None = None,
+        cache_key: str | None = None,
+    ) -> str:
+        """上传文件到 Coze 并返回 file_id"""
+        # 使用 API 客户端上传文件
+        file_id = await self.api_client.upload_file(file_data)
+
+        # 缓存 file_id
+        if session_id and cache_key:
+            if session_id not in self.file_id_cache:
+                self.file_id_cache[session_id] = {}
+            self.file_id_cache[session_id][cache_key] = file_id
+            logger.debug(f"[Coze] 图片上传成功并缓存，file_id: {file_id}")
+
+        return file_id
+
+    async def _download_and_upload_image(
+        self, image_url: str, session_id: str | None = None
+    ) -> str:
+        """下载图片并上传到 Coze，返回 file_id"""
+        # 计算哈希实现缓存
+        cache_key = self._generate_cache_key(image_url) if session_id else None
+
+        if session_id and cache_key:
+            if session_id not in self.file_id_cache:
+                self.file_id_cache[session_id] = {}
+
+            if cache_key in self.file_id_cache[session_id]:
+                file_id = self.file_id_cache[session_id][cache_key]
+                return file_id
+
+        try:
+            image_data = await self.api_client.download_image(image_url)
+
+            file_id = await self._upload_file(image_data, session_id, cache_key)
+
+            if session_id and cache_key:
+                self.file_id_cache[session_id][cache_key] = file_id
+
+            return file_id
+
+        except Exception as e:
+            logger.error(f"处理图片失败 {image_url}: {str(e)}")
+            raise Exception(f"处理图片失败: {str(e)}")
+
+    async def _process_context_images(
+        self, content: str | list, session_id: str
+    ) -> str:
+        """处理上下文中的图片内容，将 base64 图片上传并替换为 file_id"""
+
+        try:
+            if isinstance(content, str):
+                return content
+
+            processed_content = []
+            if session_id not in self.file_id_cache:
+                self.file_id_cache[session_id] = {}
+
+            for item in content:
+                if not isinstance(item, dict):
+                    processed_content.append(item)
+                    continue
+                if item.get("type") == "text":
+                    processed_content.append(item)
+                elif item.get("type") == "image_url":
+                    # 处理图片逻辑
+                    if "file_id" in item:
+                        # 已经有 file_id
+                        logger.debug(f"[Coze] 图片已有file_id: {item['file_id']}")
+                        processed_content.append(item)
+                    else:
+                        # 获取图片数据
+                        image_data = ""
+                        if "image_url" in item and isinstance(item["image_url"], dict):
+                            image_data = item["image_url"].get("url", "")
+                        elif "data" in item:
+                            image_data = item.get("data", "")
+                        elif "url" in item:
+                            image_data = item.get("url", "")
+
+                        if not image_data:
+                            continue
+                        # 计算哈希用于缓存
+                        cache_key = self._generate_cache_key(
+                            image_data, is_base64=image_data.startswith("data:image/")
+                        )
+
+                        # 检查缓存
+                        if cache_key in self.file_id_cache[session_id]:
+                            file_id = self.file_id_cache[session_id][cache_key]
+                            processed_content.append(
+                                {"type": "image", "file_id": file_id}
+                            )
+                        else:
+                            # 上传图片并缓存
+                            if image_data.startswith("data:image/"):
+                                # base64 处理
+                                _, encoded = image_data.split(",", 1)
+                                image_bytes = base64.b64decode(encoded)
+                                file_id = await self._upload_file(
+                                    image_bytes,
+                                    session_id,
+                                    cache_key,
+                                )
+                            elif image_data.startswith(("http://", "https://")):
+                                # URL 图片
+                                file_id = await self._download_and_upload_image(
+                                    image_data, session_id
+                                )
+                                # 为URL图片也添加缓存
+                                self.file_id_cache[session_id][cache_key] = file_id
+                            elif os.path.exists(image_data):
+                                # 本地文件
+                                with open(image_data, "rb") as f:
+                                    image_bytes = f.read()
+                                file_id = await self._upload_file(
+                                    image_bytes,
+                                    session_id,
+                                    cache_key,
+                                )
+                            else:
+                                logger.warning(
+                                    f"无法处理的图片格式: {image_data[:50]}..."
+                                )
+                                continue
+
+                            processed_content.append(
+                                {"type": "image", "file_id": file_id}
+                            )
+
+            result = json.dumps(processed_content, ensure_ascii=False)
+            return result
+        except Exception as e:
+            logger.error(f"处理上下文图片失败: {str(e)}")
+            if isinstance(content, str):
+                return content
+            else:
+                return json.dumps(content, ensure_ascii=False)
+
+    async def text_chat(
+        self,
+        prompt: str,
+        session_id=None,
+        image_urls=None,
+        func_tool=None,
+        contexts=None,
+        system_prompt=None,
+        tool_calls_result=None,
+        model=None,
+        **kwargs,
+    ) -> LLMResponse:
+        """文本对话, 内部使用流式接口实现非流式
+
+        Args:
+            prompt (str): 用户提示词
+            session_id (str): 会话ID
+            image_urls (List[str]): 图片URL列表
+            func_tool (FuncCall): 函数调用工具(不支持)
+            contexts (List): 上下文列表
+            system_prompt (str): 系统提示语
+            tool_calls_result (ToolCallsResult | List[ToolCallsResult]): 工具调用结果(不支持)
+            model (str): 模型名称(不支持)
+        Returns:
+            LLMResponse: LLM响应对象
+        """
+        accumulated_content = ""
+        final_response = None
+
+        async for llm_response in self.text_chat_stream(
+            prompt=prompt,
+            session_id=session_id,
+            image_urls=image_urls,
+            func_tool=func_tool,
+            contexts=contexts,
+            system_prompt=system_prompt,
+            tool_calls_result=tool_calls_result,
+            model=model,
+            **kwargs,
+        ):
+            if llm_response.is_chunk:
+                if llm_response.completion_text:
+                    accumulated_content += llm_response.completion_text
+            else:
+                final_response = llm_response
+
+        if final_response:
+            return final_response
+
+        if accumulated_content:
+            chain = MessageChain(chain=[Comp.Plain(accumulated_content)])
+            return LLMResponse(role="assistant", result_chain=chain)
+        else:
+            return LLMResponse(role="assistant", completion_text="")
+
+    async def text_chat_stream(
+        self,
+        prompt: str,
+        session_id=None,
+        image_urls=None,
+        func_tool=None,
+        contexts=None,
+        system_prompt=None,
+        tool_calls_result=None,
+        model=None,
+        **kwargs,
+    ) -> AsyncGenerator[LLMResponse, None]:
+        """流式对话接口"""
+        # 用户ID参数(参考文档, 可以自定义)
+        user_id = session_id or kwargs.get("user", "default_user")
+
+        # 获取或创建会话ID
+        conversation_id = self.conversation_ids.get(user_id)
+
+        # 构建消息
+        additional_messages = []
+
+        if system_prompt:
+            if not self.auto_save_history or not conversation_id:
+                additional_messages.append(
+                    {"role": "system", "content": system_prompt, "content_type": "text"}
+                )
+
+        if not self.auto_save_history and contexts:
+            # 如果关闭了自动保存历史，传入上下文
+            for ctx in contexts:
+                if isinstance(ctx, dict) and "role" in ctx and "content" in ctx:
+                    content = ctx["content"]
+                    content_type = ctx.get("content_type", "text")
+
+                    # 处理可能包含图片的上下文
+                    if (
+                        content_type == "object_string"
+                        or (isinstance(content, str) and content.startswith("["))
+                        or (
+                            isinstance(content, list)
+                            and any(
+                                isinstance(item, dict)
+                                and item.get("type") == "image_url"
+                                for item in content
+                            )
+                        )
+                    ):
+                        processed_content = await self._process_context_images(
+                            content, user_id
+                        )
+                        additional_messages.append(
+                            {
+                                "role": ctx["role"],
+                                "content": processed_content,
+                                "content_type": "object_string",
+                            }
+                        )
+                    else:
+                        # 纯文本
+                        additional_messages.append(
+                            {
+                                "role": ctx["role"],
+                                "content": (
+                                    content
+                                    if isinstance(content, str)
+                                    else json.dumps(content, ensure_ascii=False)
+                                ),
+                                "content_type": "text",
+                            }
+                        )
+                else:
+                    logger.info(f"[Coze] 跳过格式不正确的上下文: {ctx}")
+
+        if prompt or image_urls:
+            if image_urls:
+                # 多模态
+                object_string_content = []
+                if prompt:
+                    object_string_content.append({"type": "text", "text": prompt})
+
+                for url in image_urls:
+                    try:
+                        if url.startswith(("http://", "https://")):
+                            # 网络图片
+                            file_id = await self._download_and_upload_image(
+                                url, user_id
+                            )
+                        else:
+                            # 本地文件或 base64
+                            if url.startswith("data:image/"):
+                                # base64
+                                _, encoded = url.split(",", 1)
+                                image_data = base64.b64decode(encoded)
+                                cache_key = self._generate_cache_key(
+                                    url, is_base64=True
+                                )
+                                file_id = await self._upload_file(
+                                    image_data, user_id, cache_key
+                                )
+                            else:
+                                # 本地文件
+                                if os.path.exists(url):
+                                    with open(url, "rb") as f:
+                                        image_data = f.read()
+                                    # 用文件路径和修改时间来缓存
+                                    file_stat = os.stat(url)
+                                    cache_key = self._generate_cache_key(
+                                        f"{url}_{file_stat.st_mtime}_{file_stat.st_size}",
+                                        is_base64=False,
+                                    )
+                                    file_id = await self._upload_file(
+                                        image_data, user_id, cache_key
+                                    )
+                                else:
+                                    logger.warning(f"图片文件不存在: {url}")
+                                    continue
+
+                            object_string_content.append(
+                                {
+                                    "type": "image",
+                                    "file_id": file_id,
+                                }
+                            )
+                    except Exception as e:
+                        logger.error(f"处理图片失败 {url}: {str(e)}")
+                        continue
+
+                if object_string_content:
+                    content = json.dumps(object_string_content, ensure_ascii=False)
+                    additional_messages.append(
+                        {
+                            "role": "user",
+                            "content": content,
+                            "content_type": "object_string",
+                        }
+                    )
+            else:
+                # 纯文本
+                if prompt:
+                    additional_messages.append(
+                        {
+                            "role": "user",
+                            "content": prompt,
+                            "content_type": "text",
+                        }
+                    )
+
+        try:
+            accumulated_content = ""
+            message_started = False
+
+            async for chunk in self.api_client.chat_messages(
+                bot_id=self.bot_id,
+                user_id=user_id,
+                additional_messages=additional_messages,
+                conversation_id=conversation_id,
+                auto_save_history=self.auto_save_history,
+                stream=True,
+                timeout=self.timeout,
+            ):
+                event_type = chunk.get("event")
+                data = chunk.get("data", {})
+
+                if event_type == "conversation.chat.created":
+                    if isinstance(data, dict) and "conversation_id" in data:
+                        self.conversation_ids[user_id] = data["conversation_id"]
+
+                elif event_type == "conversation.message.delta":
+                    if isinstance(data, dict):
+                        content = data.get("content", "")
+                        if not content and "delta" in data:
+                            content = data["delta"].get("content", "")
+                        if not content and "text" in data:
+                            content = data.get("text", "")
+
+                        if content:
+                            message_started = True
+                            accumulated_content += content
+                            yield LLMResponse(
+                                role="assistant",
+                                completion_text=content,
+                                is_chunk=True,
+                            )
+
+                elif event_type == "conversation.message.completed":
+                    if isinstance(data, dict):
+                        msg_type = data.get("type")
+                        if msg_type == "answer" and data.get("role") == "assistant":
+                            final_content = data.get("content", "")
+                            if not accumulated_content and final_content:
+                                chain = MessageChain(chain=[Comp.Plain(final_content)])
+                                yield LLMResponse(
+                                    role="assistant",
+                                    result_chain=chain,
+                                    is_chunk=False,
+                                )
+
+                elif event_type == "conversation.chat.completed":
+                    if accumulated_content:
+                        chain = MessageChain(chain=[Comp.Plain(accumulated_content)])
+                        yield LLMResponse(
+                            role="assistant",
+                            result_chain=chain,
+                            is_chunk=False,
+                        )
+                    break
+
+                elif event_type == "done":
+                    break
+
+                elif event_type == "error":
+                    error_msg = (
+                        data.get("message", "未知错误")
+                        if isinstance(data, dict)
+                        else str(data)
+                    )
+                    logger.error(f"Coze 流式响应错误: {error_msg}")
+                    yield LLMResponse(
+                        role="err",
+                        completion_text=f"Coze 错误: {error_msg}",
+                        is_chunk=False,
+                    )
+                    break
+
+            if not message_started and not accumulated_content:
+                yield LLMResponse(
+                    role="assistant",
+                    completion_text="LLM 未响应任何内容。",
+                    is_chunk=False,
+                )
+            elif message_started and accumulated_content:
+                chain = MessageChain(chain=[Comp.Plain(accumulated_content)])
+                yield LLMResponse(
+                    role="assistant",
+                    result_chain=chain,
+                    is_chunk=False,
+                )
+
+        except Exception as e:
+            logger.error(f"Coze 流式请求失败: {str(e)}")
+            yield LLMResponse(
+                role="err",
+                completion_text=f"Coze 流式请求失败: {str(e)}",
+                is_chunk=False,
+            )
+
+    async def forget(self, session_id: str):
+        """清空指定会话的上下文"""
+        user_id = session_id
+        conversation_id = self.conversation_ids.get(user_id)
+
+        if user_id in self.file_id_cache:
+            self.file_id_cache.pop(user_id, None)
+
+        if not conversation_id:
+            return True
+
+        try:
+            response = await self.api_client.clear_context(conversation_id)
+
+            if "code" in response and response["code"] == 0:
+                self.conversation_ids.pop(user_id, None)
+                return True
+            else:
+                logger.warning(f"清空 Coze 会话上下文失败: {response}")
+                return False
+
+        except Exception as e:
+            logger.error(f"清空 Coze 会话失败: {str(e)}")
+            return False
+
+    async def get_current_key(self):
+        """获取当前API Key"""
+        return self.api_key
+
+    async def set_key(self, key: str):
+        """设置新的API Key"""
+        raise NotImplementedError("Coze 适配器不支持设置 API Key。")
+
+    async def get_models(self):
+        """获取可用模型列表"""
+        return [f"bot_{self.bot_id}"]
+
+    def get_model(self):
+        """获取当前模型"""
+        return f"bot_{self.bot_id}"
+
+    def set_model(self, model: str):
+        """设置模型（在Coze中是Bot ID）"""
+        if model.startswith("bot_"):
+            self.bot_id = model[4:]
+        else:
+            self.bot_id = model
+
+    async def get_human_readable_context(
+        self, session_id: str, page: int = 1, page_size: int = 10
+    ):
+        """获取人类可读的上下文历史"""
+        user_id = session_id
+        conversation_id = self.conversation_ids.get(user_id)
+
+        if not conversation_id:
+            return []
+
+        try:
+            data = await self.api_client.get_message_list(
+                conversation_id=conversation_id,
+                order="desc",
+                limit=page_size,
+                offset=(page - 1) * page_size,
+            )
+
+            if data.get("code") != 0:
+                logger.warning(f"获取 Coze 消息历史失败: {data}")
+                return []
+
+            messages = data.get("data", {}).get("messages", [])
+
+            readable_history = []
+            for msg in messages:
+                role = msg.get("role", "unknown")
+                content = msg.get("content", "")
+                msg_type = msg.get("type", "")
+
+                if role == "user":
+                    readable_history.append(f"用户: {content}")
+                elif role == "assistant" and msg_type == "answer":
+                    readable_history.append(f"助手: {content}")
+
+            return readable_history
+
+        except Exception as e:
+            logger.error(f"获取 Coze 消息历史失败: {str(e)}")
+            return []
+
+    async def terminate(self):
+        """清理资源"""
+        await self.api_client.close()

astrbot/core/provider/sources/dashscope_source.py

@@ -75,8 +75,7 @@ class ProviderDashscope(ProviderOpenAIOfficial):
         # 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, {})
+        session_var = await sp.session_get(session_id, "session_variables", default={})
         payload_vars.update(session_var)
 
         if (

astrbot/core/provider/sources/dify_source.py

@@ -97,8 +97,7 @@ class ProviderDify(Provider):
         # 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, {})
+        session_var = await sp.session_get(session_id, "session_variables", default={})
         payload_vars.update(session_var)
         payload_vars["system_prompt"] = system_prompt
 

astrbot/core/provider/sources/fishaudio_tts_api_source.py

@@ -1,5 +1,6 @@
 import os
 import uuid
+import re
 import ormsgpack
 from pydantic import BaseModel, conint
 from httpx import AsyncClient
@@ -24,8 +25,8 @@ class ServeTTSRequest(BaseModel):
     # 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
+    # 例如 https://fish.audio/m/626bb6d3f3364c9cbc3aa6a67300a664/
+    # 其中reference_id为 626bb6d3f3364c9cbc3aa6a67300a664
     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
@@ -44,6 +45,7 @@ class ProviderFishAudioTTSAPI(TTSProvider):
     ) -> None:
         super().__init__(provider_config, provider_settings)
         self.chosen_api_key: str = provider_config.get("api_key", "")
+        self.reference_id: str = provider_config.get("fishaudio-tts-reference-id", "")
         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"
@@ -81,11 +83,43 @@ class ProviderFishAudioTTSAPI(TTSProvider):
                         return item["_id"]
             return None
 
+    def _validate_reference_id(self, reference_id: str) -> bool:
+        """
+        验证reference_id格式是否有效
+
+        Args:
+            reference_id: 参考模型ID
+
+        Returns:
+            bool: ID是否有效
+        """
+        if not reference_id or not reference_id.strip():
+            return False
+
+        # FishAudio的reference_id通常是32位十六进制字符串
+        # 例如: 626bb6d3f3364c9cbc3aa6a67300a664
+        pattern = r"^[a-fA-F0-9]{32}$"
+        return bool(re.match(pattern, reference_id.strip()))
+
     async def _generate_request(self, text: str) -> dict:
+        # 向前兼容逻辑：优先使用reference_id，如果没有则使用角色名称查询
+        if self.reference_id and self.reference_id.strip():
+            # 验证reference_id格式
+            if not self._validate_reference_id(self.reference_id):
+                raise ValueError(
+                    f"无效的FishAudio参考模型ID: '{self.reference_id}'. "
+                    f"请确保ID是32位十六进制字符串（例如: 626bb6d3f3364c9cbc3aa6a67300a664）。"
+                    f"您可以从 https://fish.audio/zh-CN/discovery 获取有效的模型ID。"
+                )
+            reference_id = self.reference_id.strip()
+        else:
+            # 回退到原来的角色名称查询逻辑
+            reference_id = await self._get_reference_id_by_character(self.character)
+
         return ServeTTSRequest(
             text=text,
             format="wav",
-            reference_id=await self._get_reference_id_by_character(self.character),
+            reference_id=reference_id,
         )
 
     async def get_audio(self, text: str) -> str: