chore: bump version to 4.8.0

* fix: handle on_agent_done in error responses

- Introduced an LLMResponse for error messages to be processed by agent hooks, ensuring better error reporting and handling.

* fix: improve error logging in on_agent_done hook

---------

Co-authored-by: Soulter <37870767+Soulter@users.noreply.github.com>

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,46 +1,44 @@
-name: '🐛 报告 Bug'
+name: '🐛 Report Bug / 报告 Bug'
 title: '[Bug]'
-description: 提交报告帮助我们改进。
+description: Submit bug report to help us improve. / 提交报告帮助我们改进。
 labels: [ 'bug' ]
 body:
   - type: markdown
     attributes:
       value: |
-        感谢您抽出时间报告问题！请准确解释您的问题。如果可能，请提供一个可复现的片段（这有助于更快地解决问题）。请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
+        Thank you for taking the time to report this issue! Please describe your problem accurately. If possible, please provide a reproducible snippet (this will help resolve the issue more quickly). Please note that issues that are not detailed or have no logs will be closed immediately. Thank you for your understanding. / 感谢您抽出时间报告问题！请准确解释您的问题。如果可能，请提供一个可复现的片段（这有助于更快地解决问题）。请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
   - type: textarea
     attributes:
-      label: 发生了什么
-      description: 描述你遇到的异常
+      label: What happened / 发生了什么
+      description: Description
       placeholder: >
-        一个清晰且具体的描述这个异常是什么。请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
+        Please provide a clear and specific description of what this exception is. Please note that issues that are not detailed or have no logs will be closed immediately. Thank you for your understanding. / 一个清晰且具体的描述这个异常是什么。请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
     validations:
       required: true
 
   - type: textarea
     attributes:
-      label: 如何复现？
+      label: Reproduce / 如何复现？
       description: >
-        复现该问题的步骤
+        The steps to reproduce the issue. / 复现该问题的步骤
       placeholder: >
-        如: 1. 打开 '...'
+        Example: 1. Open '...'
     validations:
       required: true
 
   - type: textarea
     attributes:
-      label: AstrBot 版本、部署方式（如 Windows Docker Desktop 部署）、使用的提供商、使用的消息平台适配器
-      description: >
-        请提供您的 AstrBot 版本和部署方式。
+      label: AstrBot version, deployment method (e.g., Windows Docker Desktop deployment), provider used, and messaging platform used. / AstrBot 版本、部署方式（如 Windows Docker Desktop 部署）、使用的提供商、使用的消息平台适配器
       placeholder: >
-        如: 3.1.8 Docker, 3.1.7 Windows启动器
+        Example: 4.5.7 Docker, 3.1.7 Windows Launcher
     validations:
       required: true
 
   - type: dropdown
     attributes:
-      label: 操作系统
+      label: OS
       description: |
-        你在哪个操作系统上遇到了这个问题？
+        On which operating system did you encounter this problem? / 你在哪个操作系统上遇到了这个问题？
       multiple: false
       options:
         - 'Windows'
@@ -53,30 +51,30 @@ body:
 
   - type: textarea
     attributes:
-      label: 报错日志
+      label: Logs / 报错日志
       description: >
-        如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
+        Please provide complete Debug-level logs, such as error logs and screenshots. Don't worry if they're long! Please note that issues with insufficient details or no logs will be closed immediately. Thank you for your understanding. / 如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！请注意，不详细 / 没有日志的 issue 会被直接关闭，谢谢理解。
       placeholder: >
-        请提供完整的报错日志或截图。
+        Please provide a complete error log or screenshot. / 请提供完整的报错日志或截图。
     validations:
       required: true
 
   - type: checkboxes
     attributes:
-      label: 你愿意提交 PR 吗？
+      label: Are you willing to submit a PR? / 你愿意提交 PR 吗？
       description: >
-        这不是必需的，但我们很乐意在贡献过程中为您提供指导特别是如果你已经很好地理解了如何实现修复。
+        This is not required, but we would be happy to provide guidance during the contribution process, especially if you already have a good understanding of how to implement the fix. / 这不是必需的，但我们很乐意在贡献过程中为您提供指导特别是如果你已经很好地理解了如何实现修复。
       options:
-        - label: 是的，我愿意提交 PR!
+        - label: Yes!
 
   - type: checkboxes
     attributes:
       label: Code of Conduct
       options:
         - label: >
-            我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
+            I have read and agree to abide by the project's [Code of Conduct](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
           required: true
 
   - type: markdown
     attributes:
-      value: "感谢您填写我们的表单！"
+      value: "Thank you for filling out our form! / 感谢您填写我们的表单！"

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,44 +1,25 @@
-<!-- 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. -->
-
-fixes #XYZ
-
----
-
-### Motivation / 动机
-
-<!--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)-->
+<!--Please describe the motivation for this change: What problem does it solve? (e.g., Fixes XX issue, adds YY feature)-->
+<!--请描述此项更改的动机：它解决了什么问题？（例如：修复了 XX issue，添加了 YY 功能）-->
 
 ### Modifications / 改动点
 
 <!--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?-->
 
-### 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...).-->
+- [x] This is NOT a breaking change. / 这不是一个破坏性变更。
+<!-- If your changes is a breaking change, please uncheck the checkbox above -->
 
 ### 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.
+<!--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。-->
 
 ---
 
 ### 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。-->
 
 - [ ] 😊 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**.

.github/workflows/auto_release.yml

@@ -13,7 +13,7 @@ jobs:
       contents: write
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
 
       - name: Dashboard Build
         run: |
@@ -70,7 +70,7 @@ jobs:
     needs: build-and-publish-to-github-release
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
 
       - name: Set up Python
         uses: actions/setup-python@v6

.github/workflows/code-format.yml

@@ -12,7 +12,7 @@ jobs:
     
     steps:
     - name: Checkout code
-      uses: actions/checkout@v5
+      uses: actions/checkout@v6
       
     - name: Set up Python
       uses: actions/setup-python@v6

.github/workflows/codeql.yml

@@ -56,7 +56,7 @@ jobs:
         # your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
     steps:
     - name: Checkout repository
-      uses: actions/checkout@v5
+      uses: actions/checkout@v6
 
     # Initializes the CodeQL tools for scanning.
     - name: Initialize CodeQL

.github/workflows/coverage_test.yml

@@ -17,7 +17,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           fetch-depth: 0
 

.github/workflows/dashboard_ci.yml

@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
 
       - name: Setup Node.js
         uses: actions/setup-node@v6

.github/workflows/docker-image.yml

@@ -3,18 +3,125 @@ name: Docker Image CI/CD
 on:
   push:
     tags:
-      - 'v*'
+      - "v*"
+  schedule:
+    # Run at 00:00 UTC every day
+    - cron: "0 0 * * *"
   workflow_dispatch:
 
 jobs:
-  publish-docker:
+  build-nightly-image:
+    if: github.event_name == 'schedule'
     runs-on: ubuntu-latest
+    env:
+      DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
+      GHCR_OWNER: soulter
+      HAS_GHCR_TOKEN: ${{ secrets.GHCR_GITHUB_TOKEN != '' }}
 
     steps:
-      - name: Pull The Codes
-        uses: actions/checkout@v5
+      - name: Checkout
+        uses: actions/checkout@v6
         with:
-          fetch-depth: 0  # Must be 0 so we can fetch tags
+          fetch-depth: 1
+          fetch-tag: true
+
+      - name: Check for new commits today
+        if: github.event_name == 'schedule'
+        id: check-commits
+        run: |
+          # Get commits from the last 24 hours
+          commits=$(git log --since="24 hours ago" --oneline)
+          if [ -z "$commits" ]; then
+            echo "No commits in the last 24 hours, skipping build"
+            echo "has_commits=false" >> $GITHUB_OUTPUT
+          else
+            echo "Found commits in the last 24 hours:"
+            echo "$commits"
+            echo "has_commits=true" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Exit if no commits
+        if: github.event_name == 'schedule' && steps.check-commits.outputs.has_commits == 'false'
+        run: exit 0
+
+      - name: Build Dashboard
+        run: |
+          cd dashboard
+          npm install
+          npm run build
+          mkdir -p dist/assets
+          echo $(git rev-parse HEAD) > dist/assets/version
+          cd ..
+          mkdir -p data
+          cp -r dashboard/dist data/
+
+      - name: Determine test image tags
+        id: test-meta
+        run: |
+          short_sha=$(echo "${GITHUB_SHA}" | cut -c1-12)
+          build_date=$(date +%Y%m%d)
+          echo "short_sha=$short_sha" >> $GITHUB_OUTPUT
+          echo "build_date=$build_date" >> $GITHUB_OUTPUT
+
+      - name: Set QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to DockerHub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKER_HUB_USERNAME }}
+          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
+
+      - name: Login to GitHub Container Registry
+        if: env.HAS_GHCR_TOKEN == 'true'
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ env.GHCR_OWNER }}
+          password: ${{ secrets.GHCR_GITHUB_TOKEN }}
+
+      - name: Build nightly image tags list
+        id: test-tags
+        run: |
+          TAGS="${{ env.DOCKER_HUB_USERNAME }}/astrbot:nightly-latest
+          ${{ env.DOCKER_HUB_USERNAME }}/astrbot:nightly-${{ steps.test-meta.outputs.build_date }}-${{ steps.test-meta.outputs.short_sha }}"
+          if [ "${{ env.HAS_GHCR_TOKEN }}" = "true" ]; then
+            TAGS="$TAGS
+          ghcr.io/${{ env.GHCR_OWNER }}/astrbot:nightly-latest
+          ghcr.io/${{ env.GHCR_OWNER }}/astrbot:nightly-${{ steps.test-meta.outputs.build_date }}-${{ steps.test-meta.outputs.short_sha }}"
+          fi
+          echo "tags<<EOF" >> $GITHUB_OUTPUT
+          echo "$TAGS" >> $GITHUB_OUTPUT
+          echo "EOF" >> $GITHUB_OUTPUT
+
+      - name: Build and Push Nightly Image
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          platforms: linux/amd64,linux/arm64
+          push: true
+          tags: ${{ steps.test-tags.outputs.tags }}
+
+      - name: Post build notifications
+        run: echo "Test Docker image has been built and pushed successfully"
+
+  build-release-image:
+    if: github.event_name == 'workflow_dispatch' || (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v'))
+    runs-on: ubuntu-latest
+    env:
+      DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
+      GHCR_OWNER: soulter
+      HAS_GHCR_TOKEN: ${{ secrets.GHCR_GITHUB_TOKEN != '' }}
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 1
+          fetch-tag: true
 
       - name: Get latest tag (only on manual trigger)
         id: get-latest-tag
@@ -27,21 +134,22 @@ 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
+      - name: Compute release metadata
+        id: release-meta
         run: |
-          if [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
+          if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
             version="${{ steps.get-latest-tag.outputs.latest_tag }}"
           else
-            version="${{ github.ref_name }}"
+            version="${GITHUB_REF#refs/tags/}"
           fi
           if [[ "$version" == *"beta"* ]] || [[ "$version" == *"alpha"* ]]; then
             echo "is_prerelease=true" >> $GITHUB_OUTPUT
-            echo "Version $version is a pre-release, will not push latest tag"
+            echo "Version $version marked as pre-release"
           else
             echo "is_prerelease=false" >> $GITHUB_OUTPUT
-            echo "Version $version is a stable release, will push latest tag"
+            echo "Version $version marked as stable"
           fi
+          echo "version=$version" >> $GITHUB_OUTPUT
 
       - name: Build Dashboard
         run: |
@@ -67,23 +175,24 @@ jobs:
           password: ${{ secrets.DOCKER_HUB_PASSWORD }}
 
       - name: Login to GitHub Container Registry
+        if: env.HAS_GHCR_TOKEN == 'true'
         uses: docker/login-action@v3
         with:
           registry: ghcr.io
-          username: Soulter
+          username: ${{ env.GHCR_OWNER }}
           password: ${{ secrets.GHCR_GITHUB_TOKEN }}
 
-      - name: Build and Push Docker to DockerHub and Github GHCR
+      - name: Build and Push Release Image
         uses: docker/build-push-action@v6
         with:
           context: .
           platforms: linux/amd64,linux/arm64
           push: true
           tags: |
-            ${{ 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 }}
-            ${{ steps.check-prerelease.outputs.is_prerelease == 'false' && 'ghcr.io/soulter/astrbot:latest' || '' }}
-            ghcr.io/soulter/astrbot:${{ github.event_name == 'workflow_dispatch' && steps.get-latest-tag.outputs.latest_tag || github.ref_name }}
+            ${{ steps.release-meta.outputs.is_prerelease == 'false' && format('{0}/astrbot:latest', env.DOCKER_HUB_USERNAME) || '' }}
+            ${{ steps.release-meta.outputs.is_prerelease == 'false' && env.HAS_GHCR_TOKEN == 'true' && format('ghcr.io/{0}/astrbot:latest', env.GHCR_OWNER) || '' }}
+            ${{ format('{0}/astrbot:{1}', env.DOCKER_HUB_USERNAME, steps.release-meta.outputs.version) }}
+            ${{ env.HAS_GHCR_TOKEN == 'true' && format('ghcr.io/{0}/astrbot:{1}', env.GHCR_OWNER, steps.release-meta.outputs.version) || '' }}
 
       - name: Post build notifications
-        run: echo "Docker image has been built and pushed successfully"
+        run: echo "Release Docker image has been built and pushed successfully"

.gitignore

@@ -34,6 +34,7 @@ dashboard/node_modules/
 dashboard/dist/
 package-lock.json
 package.json
+yarn.lock
 
 # Operating System
 **/.DS_Store
@@ -47,3 +48,5 @@ astrbot.lock
 chroma
 venv/*
 pytest.ini
+AGENTS.md
+IFLOW.md

CONTRIBUTING.md

@@ -0,0 +1,65 @@
+# CONTRIBUTING
+
+## 贡献指南
+
+首先，感谢您花时间做出贡献！❤️
+
+所有类型的贡献都受到鼓励和重视。有关不同的帮助方式和处理方式的详细信息，请参阅[目录](#目录)。在做出贡献之前，请确保阅读相关部分。这将使我们维护人员的工作变得更加容易，并为所有参与者带来顺畅的体验。社区期待您的贡献。🎉
+
+### 目录
+
+- [报告问题](#报告问题)
+- [提交代码更改](#提交代码更改)
+
+### 报告问题
+
+如果您在使用 AstrBot 时遇到任何问题，请按照以下步骤报告：
+
+1. **检查现有问题**：在提交新问题之前，请先检查 [Issues](https://github.com/AstrBotDevs/AstrBot/issues) 中是否已经存在类似的问题。
+2. **创建新问题**：如果没有类似的问题，请创建一个新问题。请确保提供以下信息：
+   - 问题的简要描述
+   - 重现问题的步骤
+   - 预期结果和实际结果
+   - 相关日志或错误消息
+
+### 提交代码更改
+
+#### 分支命名
+
+我们使用 `fix/` 前缀来修复错误，使用 `feat/` 前缀来添加新功能。对于 `fix/` 分支，请使用简短的描述，或者直接使用 Issue 编号。例如：`fix/1234` 或者 `fix/1234-login-typo`。对于 `feat/` 分支，请使用简短的描述，例如：`feat/add-user-profile`。
+
+#### PR 描述
+
+- 请使用英文描述您的 PR。
+- 标题请使用 `fix: `, `feat: `, `docs: `, `style: `, `refactor: `, `test: `, `chore: ` 等语义化前缀，并简要描述更改内容。如：`fix: correct login page typo`。
+
+## Contributing Guide
+
+First off, thanks for taking the time to contribute! ❤️
+
+All types of contributions are encouraged and valued. See the [Table of Contents](#table-of-contents) for different ways to help and details about how this project handles them. Please make sure to read the relevant section before making your contribution. It will make it a lot easier for us maintainers and smooth out the experience for all involved. The community looks forward to your contributions. 🎉
+
+### Table of Contents
+
+- [Reporting Issues](#reporting-issues)
+- [Pull Requests](#pull-requests)
+
+### Reporting Issues
+
+If you encounter any issues while using AstrBot, please follow these steps to report them:
+1. **Check Existing Issues**: Before submitting a new issue, please check if a similar issue already exists in the [Issues](https://github.com/AstrBotDevs/AstrBot/issues) section of the repository.
+2. **Create a New Issue**: If no similar issue exists, please create a new issue. Make sure to provide the following information:
+   - A brief description of the issue
+   - Steps to reproduce the issue
+   - Expected and actual results
+   - Relevant logs or error messages
+
+### Pull Requests
+
+#### Branch Naming
+
+We use the `fix/` prefix for bug fixes and the `feat/` prefix for new features. For `fix/` branches, please use a short description or directly use the Issue number, e.g., `fix/1234` or `fix/1234-login-typo`. For `feat/` branches, please use a short description, e.g., `feat/add-user-profile`.
+
+#### PR Description
+- Please use English to describe your PR.
+- Use semantic prefixes like `fix: `, `feat: `, `docs: `, `style: `, `refactor: `, `test: `, `chore: ` in the title, followed by a brief description of the changes, e.g., `fix: correct login page typo`.

README.md

@@ -1,10 +1,13 @@
 ![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
 
-</p>
-
 <div align="center">
 
-<br>
+
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
 
 <div>
 <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>
@@ -14,35 +17,37 @@
 <br>
 
 <div>
-<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
-<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
-<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="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>
-<img src="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">
+<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
+<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?color=76bad9"/></a>
+<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E4%B8%AA&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%9C%BA&cacheSeconds=3600">
+<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
 </div>
 
 <br>
 
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
 <a href="https://astrbot.app/">文档</a> ｜
 <a href="https://blog.astrbot.app/">Blog</a> ｜
 <a href="https://astrbot.featurebase.app/roadmap">路线图</a> ｜
 <a href="https://github.com/AstrBotDevs/AstrBot/issues">问题提交</a>
 </div>
 
-AstrBot 是一个开源的一站式 Agent 聊天机器人平台及开发框架。
+AstrBot 是一个开源的一站式 Agent 聊天机器人平台，可接入主流即时通讯软件，为个人、开发者和团队打造可靠、可扩展的对话式智能基础设施。无论是个人 AI 伙伴、智能客服、自动化助手，还是企业知识库，AstrBot 都能在你的即时通讯软件平台的工作流中快速构建生产可用的 AI 应用。
+
+<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
 
 ## 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。
-3. **Agent**。完善适配的 Agentic 能力。支持多轮工具调用、内置沙盒代码执行器、网页搜索等功能。
-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。
+1. 💯 免费 & 开源。
+1. ✨ AI 大模型对话，多模态，Agent，MCP，知识库，人格设定。
+2. 🤖 支持接入 Dify、阿里云百炼、Coze 等智能体平台。
+2. 🌐 多平台，支持 QQ、企业微信、飞书、钉钉、微信公众号、Telegram、Slack 以及[更多](#支持的消息平台)。
+3. 📦 插件扩展，已有近 800 个插件可一键安装。
+5. 💻 WebUI 支持。
+6. 🌐 国际化（i18n）支持。
 
-## 部署方式
+## 快速开始
 
 #### Docker 部署(推荐 🥳)
 
@@ -50,6 +55,12 @@ AstrBot 是一个开源的一站式 Agent 聊天机器人平台及开发框架
 
 请参阅官方文档 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) 。
 
+#### uv 部署
+
+```bash
+uvx astrbot
+```
+
 #### 宝塔面板部署
 
 AstrBot 与宝塔面板合作，已上架至宝塔面板。
@@ -101,24 +112,6 @@ 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
-
-### 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>
-
 ## 支持的消息平台
 
 **官方维护**
@@ -205,6 +198,24 @@ pip install pre-commit
 pre-commit install
 ```
 
+## 🌍 社区
+
+### QQ 群组
+
+- 1 群：322154837
+- 3 群：630166526
+- 5 群：822130018
+- 6 群：753075035
+- 开发者群：975206796
+
+### 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>
+
 ## ❤️ Special Thanks
 
 特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️

README_en.md

@@ -1,182 +1,247 @@
-<p align="center">
-    
-![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
 
 </p>
 
 <div align="center">
 
-_✨ Easy-to-use Multi-platform LLM Chatbot & Development Framework ✨_
+<br>
 
+<div>
 <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/AstrBotDevs/AstrBot)](https://github.com/AstrBotDevs/AstrBot/releases/latest)
-<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot"/></a>
-<a  href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple"></a>
-[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
-![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
-[![codecov](https://codecov.io/gh/AstrBotDevs/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/AstrBotDevs/AstrBot)
-
-<a href="https://astrbot.app/">Documentation</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">Issue Tracking</a>
+<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
 </div>
 
-AstrBot is a loosely coupled, asynchronous chatbot and development framework that supports multi-platform deployment, featuring an easy-to-use plugin system and comprehensive Large Language Model (LLM) integration capabilities.
+<br>
 
-## ✨ Key Features
+<div>
+<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
+<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="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>
+<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20plugins&style=for-the-badge&label=Marketplace&cacheSeconds=3600">
+</div>
 
-1. **LLM Conversations** - Supports various LLMs including OpenAI API, Google Gemini, Llama, Deepseek, ChatGLM, etc. Enables local model deployment via Ollama/LLMTuner. Features multi-turn dialogues, personality contexts, multimodal capabilities (image understanding), and speech-to-text (Whisper).
-2. **Multi-platform Integration** - Supports QQ (OneBot), QQ Channels, WeChat (Gewechat), Feishu, and Telegram. Planned support for DingTalk, Discord, WhatsApp, and Xiaomi Smart Speakers. Includes rate limiting, whitelisting, keyword filtering, and Baidu content moderation.
-3. **Agent Capabilities** - Native support for code execution, natural language TODO lists, web search. Integrates with [Dify Platform](https://dify.ai/) for easy access to Dify assistants/knowledge bases/workflows.
-4. **Plugin System** - Optimized plugin mechanism with minimal development effort. Supports multiple installed plugins.
-5. **Web Dashboard** - Visual configuration management, plugin controls, logging, and WebChat interface for direct LLM interaction.
-6. **High Stability & Modularity** - Event bus and pipeline architecture ensures high modularization and loose coupling.
+<br>
 
-> [!TIP]
-> Dashboard Demo: [https://demo.astrbot.app/](https://demo.astrbot.app/)  
-> Username: `astrbot`, Password: `astrbot` (LLM not configured for chat page)
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
 
-## ✨ Deployment
+<a href="https://astrbot.app/">Documentation</a> ｜
+<a href="https://blog.astrbot.app/">Blog</a> ｜
+<a href="https://astrbot.featurebase.app/roadmap">Roadmap</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/issues">Issue Tracker</a>
+</div>
 
-#### Docker Deployment
+AstrBot is an open-source all-in-one Agent chatbot platform that integrates with mainstream instant messaging apps. It provides reliable and scalable conversational AI infrastructure for individuals, developers, and teams. Whether you're building a personal AI companion, intelligent customer service, automation assistant, or enterprise knowledge base, AstrBot enables you to quickly build production-ready AI applications within your IM platform workflows.
 
-See docs: [Deploy with Docker](https://astrbot.app/deploy/astrbot/docker.html#docker-deployment)
+<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
 
-#### Windows Installer
+## Key Features
 
-Requires Python (>3.10). See docs: [Windows Installer Guide](https://astrbot.app/deploy/astrbot/windows.html)
+1. 💯 Free & Open Source.
+2. ✨ AI LLM Conversations, Multimodal, Agent, MCP, Knowledge Base, Persona Settings.
+3. 🤖 Supports integration with Dify, Alibaba Cloud Bailian, Coze and other agent platforms.
+4. 🌐 Multi-Platform: QQ, WeChat Work, Feishu, DingTalk, WeChat Official Accounts, Telegram, Slack, and [more](#supported-messaging-platforms).
+5. 📦 Plugin Extensions with nearly 800 plugins available for one-click installation.
+6. 💻 WebUI Support.
+7. 🌐 Internationalization (i18n) Support.
 
-#### Replit Deployment
+## Quick Start
+
+#### Docker Deployment (Recommended 🥳)
+
+We recommend deploying AstrBot using Docker or Docker Compose.
+
+Please refer to the official documentation: [Deploy AstrBot with Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
+
+#### uv Deployment
+
+```bash
+uvx astrbot
+```
+
+#### BT-Panel Deployment
+
+AstrBot has partnered with BT-Panel and is now available in their marketplace.
+
+Please refer to the official documentation: [BT-Panel Deployment](https://astrbot.app/deploy/astrbot/btpanel.html).
+
+#### 1Panel Deployment
+
+AstrBot has been officially listed on the 1Panel marketplace.
+
+Please refer to the official documentation: [1Panel Deployment](https://astrbot.app/deploy/astrbot/1panel.html).
+
+#### Deploy on RainYun
+
+AstrBot has been officially listed on RainYun's cloud application platform with one-click deployment.
+
+[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
+
+#### Deploy on Replit
+
+Community-contributed deployment method.
 
 [![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
 
+#### Windows One-Click Installer
+
+Please refer to the official documentation: [Deploy AstrBot with Windows One-Click Installer](https://astrbot.app/deploy/astrbot/windows.html).
+
 #### CasaOS Deployment
 
-Community-contributed method.  
-See docs: [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html)
+Community-contributed deployment method.
+
+Please refer to the official documentation: [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html).
 
 #### Manual Deployment
 
-See docs: [Source Code Deployment](https://astrbot.app/deploy/astrbot/cli.html)
+First, install uv:
 
-## ⚡ Platform Support
+```bash
+pip install uv
+```
 
-| Platform                                                       | Status | Details             | Message Types       |
-| -------------------------------------------------------------- | ------ | ------------------- | ------------------- |
-| QQ (Official Bot)                                              | ✔      | Private/Group chats | Text, Images        |
-| QQ (OneBot)                                                    | ✔      | Private/Group chats | Text, Images, Voice |
-| WeChat (Personal)                                              | ✔      | Private/Group chats | Text, Images, Voice |
-| [Telegram](https://github.com/AstrBotDevs/AstrBot_plugin_telegram) | ✔      | Private/Group chats | Text, Images        |
-| [WeChat Work](https://github.com/AstrBotDevs/AstrBot_plugin_wecom) | ✔      | Private chats       | Text, Images, Voice |
-| Feishu                                                         | ✔      | Group chats         | Text, Images        |
-| WeChat Open Platform                                           | 🚧      | Planned             | -                   |
-| Discord                                                        | 🚧      | Planned             | -                   |
-| WhatsApp                                                       | 🚧      | Planned             | -                   |
-| Xiaomi Speakers                                                | 🚧      | Planned             | -                   |
+Install AstrBot via Git Clone:
 
-## Provider Support Status
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
+uv run main.py
+```
 
-| Name                      | Support | Type                   | Notes                                                                 |
-|---------------------------|---------|------------------------|-----------------------------------------------------------------------|
-| OpenAI API                | ✔       | Text Generation        | Supports all OpenAI API-compatible services including DeepSeek, Google Gemini, GLM, Moonshot, Alibaba Cloud Bailian, Silicon Flow, xAI, etc. |
-| Claude API                | ✔       | Text Generation        |                                                                       |
-| Google Gemini API         | ✔       | Text Generation        |                                                                       |
-| Dify                      | ✔       | LLMOps                 |                                                                       |
-| DashScope (Alibaba Cloud) | ✔       | LLMOps                 |                                                                       |
-| Ollama                    | ✔       | Model Loader           | Local deployment for open-source LLMs (DeepSeek, Llama, etc.)         |
-| LM Studio                 | ✔       | Model Loader           | Local deployment for open-source LLMs (DeepSeek, Llama, etc.)         |
-| LLMTuner                  | ✔       | Model Loader           | Local loading of fine-tuned models (e.g. LoRA)                        |
-| OneAPI                    | ✔       | LLM Distribution       |                                                                       |
-| Whisper                   | ✔       | Speech-to-Text         | Supports API and local deployment                                    |
-| SenseVoice                | ✔       | Speech-to-Text         | Local deployment                                                     |
-| OpenAI TTS API            | ✔       | Text-to-Speech         |                                                                       |
-| Fishaudio                 | ✔       | Text-to-Speech         | Project involving GPT-Sovits author                                  |
+Or refer to the official documentation: [Deploy AstrBot from Source](https://astrbot.app/deploy/astrbot/cli.html).
 
-# 🦌 Roadmap
+## Supported Messaging Platforms
 
-> [!TIP]
-> Suggestions welcome via Issues <3
+**Officially Maintained**
 
-- [ ] Ensure feature parity across all platform adapters
-- [ ] Optimize plugin APIs
-- [ ] Add default TTS services (e.g., GPT-Sovits)
-- [ ] Enhance chat features with persistent memory
-- [ ] i18n Planning
+- QQ (Official Platform & OneBot)
+- Telegram
+- WeChat Work Application & WeChat Work Intelligent Bot
+- WeChat Customer Service & WeChat Official Accounts
+- Feishu (Lark)
+- DingTalk
+- Slack
+- Discord
+- Satori
+- Misskey
+- WhatsApp (Coming Soon)
+- LINE (Coming Soon)
 
-## ❤️ Contributions
+**Community Maintained**
 
-All Issues/PRs welcome! Simply submit your changes to this project :)
+- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
+- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
+- [Bilibili Direct Messages](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
+- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
 
-For major features, please discuss via Issues first.
+## Supported Model Services
 
-## 🌟 Support
+**LLM Services**
 
-- Star this project!
-- Support via [Afdian](https://afdian.com/a/soulter)
-- WeChat support: [QR Code](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)
+- OpenAI and Compatible Services
+- Anthropic
+- Google Gemini
+- Moonshot AI
+- Zhipu AI
+- DeepSeek
+- Ollama (Self-hosted)
+- LM Studio (Self-hosted)
+- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
+- [302.AI](https://share.302.ai/rr1M3l)
+- [TokenPony](https://www.tokenpony.cn/3YPyf)
+- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
+- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
+- ModelScope
+- OneAPI
 
-## ✨ Demos
+**LLMOps Platforms**
 
-> [!NOTE]
-> Code executor file I/O currently tested with Napcat(QQ)/Lagrange(QQ)
+- Dify
+- Alibaba Cloud Bailian Applications
+- Coze
 
-<div align='center'>
+**Speech-to-Text Services**
 
-<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+- OpenAI Whisper
+- SenseVoice
 
-_✨ Docker-based Sandboxed Code Executor (Beta) ✨_
+**Text-to-Speech Services**
 
-<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+- OpenAI TTS
+- Gemini TTS
+- GPT-Sovits-Inference
+- GPT-Sovits
+- FishAudio
+- Edge TTS
+- Alibaba Cloud Bailian TTS
+- Azure TTS
+- Minimax TTS
+- Volcano Engine TTS
 
-_✨ Multimodal Input, Web Search, Text-to-Image ✨_
+## ❤️ Contributing
 
-<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
+Issues and Pull Requests are always welcome! Feel free to submit your changes to this project :)
 
-_✨ Natural Language TODO Lists ✨_
+### How to Contribute
 
-<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>
+You can contribute by reviewing issues or helping with pull request reviews. Any issues or PRs are welcome to encourage community participation. Of course, these are just suggestions—you can contribute in any way you like. For adding new features, please discuss through an Issue first.
 
-_✨ Plugin System Showcase ✨_
+### Development Environment
 
-<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width=600>
+AstrBot uses `ruff` for code formatting and linting.
 
-_✨ Web Dashboard ✨_
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot
+pip install pre-commit
+pre-commit install
+```
 
-![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
+## 🌍 Community
 
-_✨ Built-in Web Chat Interface ✨_
+### QQ Groups
 
-</div>
+- Group 1: 322154837
+- Group 3: 630166526
+- Group 5: 822130018
+- Group 6: 753075035
+- Developer Group: 975206796
+
+### Telegram Group
+
+<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 Server
+
+<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>
+
+## ❤️ Special Thanks
+
+Special thanks to all Contributors and plugin developers for their contributions to AstrBot ❤️
+
+<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
+</a>
+
+Additionally, the birth of this project would not have been possible without the help of the following open-source projects:
+
+- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - The amazing cat framework
 
 ## ⭐ Star History
 
-> [!TIP] 
-> If this project helps you, please give it a star <3
+> [!TIP]
+> If this project has helped you in your life or work, or if you're interested in its future development, please give the project a Star. It's the driving force behind maintaining this open-source project <3
 
 <div align="center">
-    
-[![Star History Chart](https://api.star-history.com/svg?repos=AstrBotDevs/AstrBot&type=Date)](https://star-history.com/#AstrBotDevs/AstrBot&Date)
+
+[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
 
 </div>
 
-## Disclaimer
-
-1. Licensed under `AGPL-v3`.
-2. WeChat integration uses [Gewechat](https://github.com/Devo919/Gewechat). Use at your own risk with non-critical accounts.
-3. Users must comply with local laws and regulations.
-
-<!-- ## ✨ ATRI [Beta]
-
-Available as plugin: [astrbot_plugin_atri](https://github.com/AstrBotDevs/AstrBot_plugin_atri)
-
-1. Qwen1.5-7B-Chat Lora model fine-tuned with ATRI character data
-2. Long-term memory
-3. Meme understanding & responses
-4. TTS integration
-    -->
-
+</details>
 
 _私は、高性能ですから!_
-

README_fr.md

@@ -0,0 +1,248 @@
+![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
+
+</p>
+
+<div align="center">
+
+<br>
+
+<div>
+<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>
+<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+</div>
+
+<br>
+
+<div>
+<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
+<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="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>
+<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20plugins&style=for-the-badge&label=Marketplace&cacheSeconds=3600">
+</div>
+
+<br>
+
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
+
+<a href="https://astrbot.app/">Documentation</a> ｜
+<a href="https://blog.astrbot.app/">Blog</a> ｜
+<a href="https://astrbot.featurebase.app/roadmap">Feuille de route</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/issues">Signaler un problème</a>
+</div>
+
+AstrBot est une plateforme de chatbot Agent tout-en-un open source qui s'intègre aux principales applications de messagerie instantanée. Elle fournit une infrastructure d'IA conversationnelle fiable et évolutive pour les particuliers, les développeurs et les équipes. Que vous construisiez un compagnon IA personnel, un service client intelligent, un assistant d'automatisation ou une base de connaissances d'entreprise, AstrBot vous permet de créer rapidement des applications d'IA prêtes pour la production dans les flux de travail de votre plateforme de messagerie.
+
+<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
+
+## Fonctionnalités principales
+
+1. 💯 Gratuit & Open Source.
+2. ✨ Conversations avec LLM IA, Multimodal, Agent, MCP, Base de connaissances, Paramètres de personnalité.
+3. 🤖 Prise en charge de l'intégration avec Dify, Alibaba Cloud Bailian, Coze et autres plateformes d'agents.
+4. 🌐 Multi-plateforme : QQ, WeChat Work, Feishu, DingTalk, Comptes officiels WeChat, Telegram, Slack, et [plus encore](#plateformes-de-messagerie-prises-en-charge).
+5. 📦 Extensions de plugins avec près de 800 plugins disponibles pour une installation en un clic.
+6. 💻 Support WebUI.
+7. 🌐 Support de l'internationalisation (i18n).
+
+## Démarrage rapide
+
+#### Déploiement Docker (Recommandé 🥳)
+
+Nous recommandons de déployer AstrBot en utilisant Docker ou Docker Compose.
+
+Veuillez consulter la documentation officielle : [Déployer AstrBot avec Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
+
+#### Déploiement uv
+
+```bash
+uvx astrbot
+```
+
+#### Déploiement BT-Panel
+
+AstrBot s'est associé à BT-Panel et est maintenant disponible sur leur marketplace.
+
+Veuillez consulter la documentation officielle : [Déploiement BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html).
+
+#### Déploiement 1Panel
+
+AstrBot a été officiellement listé sur le marketplace 1Panel.
+
+Veuillez consulter la documentation officielle : [Déploiement 1Panel](https://astrbot.app/deploy/astrbot/1panel.html).
+
+#### Déployer sur RainYun
+
+AstrBot a été officiellement listé sur la plateforme d'applications cloud de RainYun avec un déploiement en un clic.
+
+[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
+
+#### Déployer sur Replit
+
+Méthode de déploiement contribuée par la communauté.
+
+[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
+
+#### Installateur Windows en un clic
+
+Veuillez consulter la documentation officielle : [Déployer AstrBot avec l'installateur Windows en un clic](https://astrbot.app/deploy/astrbot/windows.html).
+
+#### Déploiement CasaOS
+
+Méthode de déploiement contribuée par la communauté.
+
+Veuillez consulter la documentation officielle : [Déploiement CasaOS](https://astrbot.app/deploy/astrbot/casaos.html).
+
+#### Déploiement manuel
+
+Tout d'abord, installez uv :
+
+```bash
+pip install uv
+```
+
+Installez AstrBot via Git Clone :
+
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
+uv run main.py
+```
+
+Ou consultez la documentation officielle : [Déployer AstrBot depuis les sources](https://astrbot.app/deploy/astrbot/cli.html).
+
+## Plateformes de messagerie prises en charge
+
+**Maintenues officiellement**
+
+- QQ (Plateforme officielle & OneBot)
+- Telegram
+- Application WeChat Work & Bot intelligent WeChat Work
+- Service client WeChat & Comptes officiels WeChat
+- Feishu (Lark)
+- DingTalk
+- Slack
+- Discord
+- Satori
+- Misskey
+- WhatsApp (Bientôt disponible)
+- LINE (Bientôt disponible)
+
+**Maintenues par la communauté**
+
+- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
+- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
+- [Messages directs Bilibili](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
+- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
+
+## Services de modèles pris en charge
+
+**Services LLM**
+
+- OpenAI et services compatibles
+- Anthropic
+- Google Gemini
+- Moonshot AI
+- Zhipu AI
+- DeepSeek
+- Ollama (Auto-hébergé)
+- LM Studio (Auto-hébergé)
+- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
+- [302.AI](https://share.302.ai/rr1M3l)
+- [TokenPony](https://www.tokenpony.cn/3YPyf)
+- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
+- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
+- ModelScope
+- OneAPI
+
+**Plateformes LLMOps**
+
+- Dify
+- Applications Alibaba Cloud Bailian
+- Coze
+
+**Services de reconnaissance vocale**
+
+- OpenAI Whisper
+- SenseVoice
+
+**Services de synthèse vocale**
+
+- OpenAI TTS
+- Gemini TTS
+- GPT-Sovits-Inference
+- GPT-Sovits
+- FishAudio
+- Edge TTS
+- Alibaba Cloud Bailian TTS
+- Azure TTS
+- Minimax TTS
+- Volcano Engine TTS
+
+## ❤️ Contribuer
+
+Les Issues et Pull Requests sont toujours les bienvenues ! N'hésitez pas à soumettre vos modifications à ce projet :)
+
+### Comment contribuer
+
+Vous pouvez contribuer en examinant les issues ou en aidant à la revue des pull requests. Toutes les issues ou PRs sont les bienvenues pour encourager la participation de la communauté. Bien sûr, ce ne sont que des suggestions - vous pouvez contribuer de la manière que vous souhaitez. Pour l'ajout de nouvelles fonctionnalités, veuillez d'abord en discuter via une Issue.
+
+### Environnement de développement
+
+AstrBot utilise `ruff` pour le formatage et le linting du code.
+
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot
+pip install pre-commit
+pre-commit install
+```
+
+## 🌍 Communauté
+
+### Groupes QQ
+
+- Groupe 1 : 322154837
+- Groupe 3 : 630166526
+- Groupe 5 : 822130018
+- Groupe 6 : 753075035
+- Groupe développeurs : 975206796
+
+### Groupe Telegram
+
+<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>
+
+### Serveur Discord
+
+<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>
+
+## ❤️ Remerciements spéciaux
+
+Un grand merci à tous les contributeurs et développeurs de plugins pour leurs contributions à AstrBot ❤️
+
+<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
+</a>
+
+De plus, la naissance de ce projet n'aurait pas été possible sans l'aide des projets open source suivants :
+
+- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - L'incroyable framework chat
+
+## ⭐ Historique des étoiles
+
+> [!TIP]
+> Si ce projet vous a aidé dans votre vie ou votre travail, ou si vous êtes intéressé par son développement futur, veuillez donner une étoile au projet. C'est la force motrice derrière la maintenance de ce projet open source <3
+
+<div align="center">
+
+[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
+
+</div>
+
+</details>
+
+_私は、高性能ですから!_
+

README_ja.md

@@ -1,167 +1,247 @@
-<p align="center">
-
-![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
 
 </p>
 
 <div align="center">
 
-_✨ 簡単に使えるマルチプラットフォーム LLM チャットボットおよび開発フレームワーク ✨_
+<br>
 
+<div>
 <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/AstrBotDevs/AstrBot)](https://github.com/AstrBotDevs/AstrBot/releases/latest)
-<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
-<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
-[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
-![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
-[![codecov](https://codecov.io/gh/AstrBotDevs/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/AstrBotDevs/AstrBot)
-
-<a href="https://astrbot.app/">ドキュメントを見る</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">問題を報告する</a>
+<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
 </div>
 
-AstrBot は、疎結合、非同期、複数のメッセージプラットフォームに対応したデプロイ、使いやすいプラグインシステム、および包括的な大規模言語モデル（LLM）接続機能を備えたチャットボットおよび開発フレームワークです。
+<br>
 
-## ✨ 主な機能
+<div>
+<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
+<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="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>
+<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E5%80%8B&style=for-the-badge&label=%E3%83%97%E3%83%A9%E3%82%B0%E3%82%A4%E3%83%B3&cacheSeconds=3600">
+</div>
 
-1. **大規模言語モデルの対話**。OpenAI API、Google Gemini、Llama、Deepseek、ChatGLM など、さまざまな大規模言語モデルをサポートし、Ollama、LLMTuner を介してローカルにデプロイされた大規模モデルをサポートします。多輪対話、人格シナリオ、多モーダル機能を備え、画像理解、音声からテキストへの変換（Whisper）をサポートします。
-2. **複数のメッセージプラットフォームの接続**。QQ（OneBot）、QQ チャンネル、Feishu、Telegram への接続をサポートします。今後、DingTalk、Discord、WhatsApp、Xiaoai 音響をサポートする予定です。レート制限、ホワイトリスト、キーワードフィルタリング、Baidu コンテンツ監査をサポートします。
-3. **エージェント**。一部のエージェント機能をネイティブにサポートし、コードエグゼキューター、自然言語タスク、ウェブ検索などを提供します。[Dify プラットフォーム](https://dify.ai/)と連携し、Dify スマートアシスタント、ナレッジベース、Dify ワークフローを簡単に接続できます。
-4. **プラグインの拡張**。深く最適化されたプラグインメカニズムを備え、[プラグインの開発](https://astrbot.app/dev/plugin.html)をサポートし、機能を拡張できます。複数のプラグインのインストールをサポートします。
-5. **ビジュアル管理パネル**。設定の視覚的な変更、プラグイン管理、ログの表示などをサポートし、設定の難易度を低減します。WebChat を統合し、パネル上で大規模モデルと対話できます。
-6. **高い安定性と高いモジュール性**。イベントバスとパイプラインに基づくアーキテクチャ設計により、高度にモジュール化され、低結合です。
+<br>
 
-> [!TIP]
-> 管理パネルのオンラインデモを体験する: [https://demo.astrbot.app/](https://demo.astrbot.app/)
->
-> ユーザー名: `astrbot`, パスワード: `astrbot`。LLM が設定されていないため、チャットページで大規模モデルを使用することはできません。（デモのログインパスワードを変更しないでください 😭）
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
 
-## ✨ 使用方法
+<a href="https://astrbot.app/">ドキュメント</a> ｜
+<a href="https://blog.astrbot.app/">Blog</a> ｜
+<a href="https://astrbot.featurebase.app/roadmap">ロードマップ</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/issues">Issue</a>
+</div>
 
-#### Docker デプロイ
+AstrBot は、主要なインスタントメッセージングアプリと統合できるオープンソースのオールインワン Agent チャットボットプラットフォームです。個人、開発者、チームに信頼性が高くスケーラブルな会話型 AI インフラストラクチャを提供します。パーソナル AI コンパニオン、インテリジェントカスタマーサービス、オートメーションアシスタント、エンタープライズナレッジベースなど、AstrBot を使用すると、IM プラットフォームのワークフロー内で本番環境対応の AI アプリケーションを迅速に構築できます。
 
-公式ドキュメント [Docker を使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) を参照してください。
+<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
 
-#### Windows ワンクリックインストーラーのデプロイ
+## 主な機能
 
-コンピュータに Python（>3.10）がインストールされている必要があります。公式ドキュメント [Windows ワンクリックインストーラーを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/windows.html) を参照してください。
+1. 💯 無料 & オープンソース。
+2. ✨ AI 大規模言語モデル対話、マルチモーダル、Agent、MCP、ナレッジベース、ペルソナ設定。
+3. 🤖 Dify、Alibaba Cloud 百炼、Coze などの Agent プラットフォームとの統合をサポート。
+4. 🌐 マルチプラットフォーム：QQ、WeChat Work、Feishu、DingTalk、WeChat 公式アカウント、Telegram、Slack、[その他](#サポートされているメッセージプラットフォーム)。
+5. 📦 約800個のプラグインをワンクリックでインストール可能なプラグイン拡張機能。
+6. 💻 WebUI サポート。
+7. 🌐 国際化（i18n）サポート。
 
-#### Replit デプロイ
+## クイックスタート
+
+#### Docker デプロイ（推奨 🥳）
+
+Docker / Docker Compose を使用した AstrBot のデプロイを推奨します。
+
+公式ドキュメント [Docker を使用した AstrBot のデプロイ](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) をご参照ください。
+
+#### uv デプロイ
+
+```bash
+uvx astrbot
+```
+
+#### 宝塔パネルデプロイ
+
+AstrBot は宝塔パネルと提携し、宝塔パネルに公開されています。
+
+公式ドキュメント [宝塔パネルデプロイ](https://astrbot.app/deploy/astrbot/btpanel.html) をご参照ください。
+
+#### 1Panel デプロイ
+
+AstrBot は 1Panel 公式により 1Panel パネルに公開されています。
+
+公式ドキュメント [1Panel デプロイ](https://astrbot.app/deploy/astrbot/1panel.html) をご参照ください。
+
+#### 雨云でのデプロイ
+
+AstrBot は雨云公式によりクラウドアプリケーションプラットフォームに公開され、ワンクリックでデプロイ可能です。
+
+[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
+
+#### Replit でのデプロイ
+
+コミュニティ貢献によるデプロイ方法。
 
 [![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
 
+#### Windows ワンクリックインストーラーデプロイ
+
+公式ドキュメント [Windows ワンクリックインストーラーを使用した AstrBot のデプロイ](https://astrbot.app/deploy/astrbot/windows.html) をご参照ください。
+
 #### CasaOS デプロイ
 
-コミュニティが提供するデプロイ方法です。
+コミュニティ貢献によるデプロイ方法。
 
-公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/casaos.html) を参照してください。
+公式ドキュメント [CasaOS デプロイ](https://astrbot.app/deploy/astrbot/casaos.html) をご参照ください。
 
 #### 手動デプロイ
 
-公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/cli.html) を参照してください。
+まず uv をインストールします:
 
-## ⚡ メッセージプラットフォームのサポート状況
+```bash
+pip install uv
+```
 
-| プラットフォーム    | サポート状況 | 詳細 | メッセージタイプ |
-| -------- | ------- | ------- | ------ |
-| QQ(公式ロボットインターフェース) | ✔    | プライベートチャット、グループチャット、QQ チャンネルプライベートチャット、グループチャット | テキスト、画像 |
-| QQ(OneBot)      | ✔    | プライベートチャット、グループチャット | テキスト、画像、音声 |
-| WeChat(個人アカウント)    | ✔    | WeChat 個人アカウントのプライベートチャット、グループチャット | テキスト、画像、音声 |
-| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram)   | ✔    | プライベートチャット、グループチャット | テキスト、画像 |
-| [WeChat(企業 WeChat)](https://github.com/Soulter/astrbot_plugin_wecom)    | ✔    | プライベートチャット | テキスト、画像、音声 |
-| Feishu   | ✔    | グループチャット | テキスト、画像 |
-| WeChat 対話オープンプラットフォーム | 🚧    | 計画中 | - |
-| Discord   | 🚧    | 計画中 | - |
-| WhatsApp   | 🚧    | 計画中 | - |
-| Xiaoai 音響   | 🚧    | 計画中 | - |
+Git Clone で AstrBot をインストール:
 
-# 🦌 今後のロードマップ
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
+uv run main.py
+```
 
-> [!TIP]
-> Issue でさらに多くの提案を歓迎します <3
+または、公式ドキュメント [ソースコードから AstrBot をデプロイ](https://astrbot.app/deploy/astrbot/cli.html) をご参照ください。
 
-- [ ] 現在のすべてのプラットフォームアダプターの機能の一貫性を確保し、改善する
-- [ ] プラグインインターフェースの最適化
-- [ ] GPT-Sovits などの TTS サービスをデフォルトでサポート
-- [ ] "チャット強化" 部分を完成させ、永続的な記憶をサポート
-- [ ] i18n の計画
+## サポートされているメッセージプラットフォーム
 
-## ❤️ 貢献
+**公式メンテナンス**
 
-Issue や Pull Request を歓迎します！このプロジェクトに変更を加えるだけです :)
+- QQ (公式プラットフォーム & OneBot)
+- Telegram
+- WeChat Work アプリケーション & WeChat Work インテリジェントボット
+- WeChat カスタマーサービス & WeChat 公式アカウント
+- Feishu (Lark)
+- DingTalk
+- Slack
+- Discord
+- Satori
+- Misskey
+- WhatsApp (近日対応予定)
+- LINE (近日対応予定)
 
-新機能の追加については、まず Issue で議論してください。
+**コミュニティメンテナンス**
 
-## 🌟 サポート
+- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
+- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
+- [Bilibili ダイレクトメッセージ](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
+- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
 
-- このプロジェクトに Star を付けてください！
-- [愛発電](https://afdian.com/a/soulter)で私をサポートしてください！
-- [WeChat](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)で私をサポートしてください~
+## サポートされているモデルサービス
 
-## ✨ デモ
+**大規模言語モデルサービス**
 
-> [!NOTE]
-> コードエグゼキューターのファイル入力/出力は現在 Napcat(QQ)、Lagrange(QQ) でのみテストされています
+- OpenAI および互換サービス
+- Anthropic
+- Google Gemini
+- Moonshot AI
+- 智谱 AI
+- DeepSeek
+- Ollama (セルフホスト)
+- LM Studio (セルフホスト)
+- [優云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
+- [302.AI](https://share.302.ai/rr1M3l)
+- [小馬算力](https://www.tokenpony.cn/3YPyf)
+- [硅基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot)
+- [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE)
+- ModelScope
+- OneAPI
 
-<div align='center'>
+**LLMOps プラットフォーム**
 
-<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+- Dify
+- Alibaba Cloud 百炼アプリケーション
+- Coze
 
-_✨ Docker ベースのサンドボックス化されたコードエグゼキューター（ベータテスト中）✨_
+**音声認識サービス**
 
-<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+- OpenAI Whisper
+- SenseVoice
 
-_✨ 多モーダル、ウェブ検索、長文の画像変換（設定可能）✨_
+**音声合成サービス**
 
-<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
+- OpenAI TTS
+- Gemini TTS
+- GPT-Sovits-Inference
+- GPT-Sovits
+- FishAudio
+- Edge TTS
+- Alibaba Cloud 百炼 TTS
+- Azure TTS
+- Minimax TTS
+- Volcano Engine TTS
 
-_✨ 自然言語タスク ✨_
+## ❤️ コントリビューション
 
-<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>
+Issue や Pull Request は大歓迎です!このプロジェクトに変更を送信してください :)
 
-_✨ プラグインシステム - 一部のプラグインの展示 ✨_
+### コントリビュート方法
 
-<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width="600">
+Issue を確認したり、PR(プルリクエスト)のレビューを手伝うことで貢献できます。どんな Issue や PR への参加も歓迎され、コミュニティ貢献を促進します。もちろん、これらは提案に過ぎず、どんな方法でも貢献できます。新機能の追加については、まず Issue で議論してください。
 
-_✨ 管理パネル ✨_
+### 開発環境
 
-![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
+AstrBot はコードのフォーマットとチェックに `ruff` を使用しています。
 
-_✨ 内蔵 Web Chat、オンラインでボットと対話 ✨_
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot
+pip install pre-commit
+pre-commit install
+```
 
-</div>
+## 🌍 コミュニティ
+
+### QQ グループ
+
+- 1群: 322154837
+- 3群: 630166526
+- 5群: 822130018
+- 6群: 753075035
+- 開発者群: 975206796
+
+### Telegram グループ
+
+<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 サーバー
+
+<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>
+
+## ❤️ Special Thanks
+
+AstrBot への貢献をしていただいたすべてのコントリビューターとプラグイン開発者に特別な感謝を ❤️
+
+<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
+</a>
+
+また、このプロジェクトの誕生は以下のオープンソースプロジェクトの助けなしには実現できませんでした:
+
+- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 素晴らしい猫猫フレームワーク
 
 ## ⭐ Star History
 
 > [!TIP]
-> このプロジェクトがあなたの生活や仕事に役立った場合、またはこのプロジェクトの将来の発展に関心がある場合は、プロジェクトに Star を付けてください。これはこのオープンソースプロジェクトを維持するためのモチベーションです <3
+> このプロジェクトがあなたの生活や仕事に役立ったり、このプロジェクトの今後の発展に関心がある場合は、プロジェクトに Star をください。これがこのオープンソースプロジェクトを維持する原動力です <3
 
 <div align="center">
 
-[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
 
 </div>
 
-## スポンサー
-
-[<img src="https://api.gitsponsors.com/api/badge/img?id=575865240" height="20">](https://api.gitsponsors.com/api/badge/link?p=XEpbdGxlitw/RbcwiTX93UMzNK/jgDYC8NiSzamIPMoKvG2lBFmyXhSS/b0hFoWlBBMX2L5X5CxTDsUdyvcIEHTOfnkXz47UNOZvMwyt5CzbYpq0SEzsSV1OJF1cCo90qC/ZyYKYOWedal3MhZ3ikw==)
-
-## 免責事項
-
-1. このプロジェクトは `AGPL-v3` オープンソースライセンスの下で保護されています。
-2. このプロジェクトを使用する際は、現地の法律および規制を遵守してください。
-
-<!-- ## ✨ ATRI [ベータテスト]
-
-この機能はプラグインとしてロードされます。プラグインリポジトリのアドレス：[astrbot_plugin_atri](https://github.com/Soulter/astrbot_plugin_atri)
-
-1. 《ATRI ~ My Dear Moments》の主人公 ATRI のキャラクターセリフを微調整データセットとして使用した `Qwen1.5-7B-Chat Lora` 微調整モデル。
-2. 長期記憶
-3. ミームの理解と返信
-4. TTS
-    -->
+</details>
 
 _私は、高性能ですから!_

README_ru.md

@@ -0,0 +1,248 @@
+![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
+
+</p>
+
+<div align="center">
+
+<br>
+
+<div>
+<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>
+<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+</div>
+
+<br>
+
+<div>
+<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
+<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="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>
+<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20%D0%BF%D0%BB%D0%B0%D0%B3%D0%B8%D0%BD%D0%BE%D0%B2&style=for-the-badge&label=%D0%9C%D0%B0%D0%B3%D0%B0%D0%B7%D0%B8%D0%BD&cacheSeconds=3600">
+</div>
+
+<br>
+
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
+
+<a href="https://astrbot.app/">Документация</a> ｜
+<a href="https://blog.astrbot.app/">Блог</a> ｜
+<a href="https://astrbot.featurebase.app/roadmap">Дорожная карта</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/issues">Сообщить о проблеме</a>
+</div>
+
+AstrBot — это универсальная платформа Agent-чатботов с открытым исходным кодом, которая интегрируется с основными приложениями для обмена мгновенными сообщениями. Она предоставляет надёжную и масштабируемую инфраструктуру разговорного ИИ для частных лиц, разработчиков и команд. Будь то персональный ИИ-компаньон, интеллектуальная служба поддержки, автоматизированный помощник или корпоративная база знаний — AstrBot позволяет быстро создавать готовые к использованию ИИ-приложения в рабочих процессах вашей платформы обмена сообщениями.
+
+<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
+
+## Основные возможности
+
+1. 💯 Бесплатно и с открытым исходным кодом.
+2. ✨ ИИ-диалоги с LLM, мультимодальность, Agent, MCP, база знаний, настройки личности.
+3. 🤖 Поддержка интеграции с Dify, Alibaba Cloud Bailian, Coze и другими платформами агентов.
+4. 🌐 Мультиплатформенность: QQ, WeChat Work, Feishu, DingTalk, официальные аккаунты WeChat, Telegram, Slack и [другие](#поддерживаемые-платформы-обмена-сообщениями).
+5. 📦 Расширения плагинов с почти 800 плагинами, доступными для установки в один клик.
+6. 💻 Поддержка WebUI.
+7. 🌐 Поддержка интернационализации (i18n).
+
+## Быстрый старт
+
+#### Развёртывание Docker (Рекомендуется 🥳)
+
+Мы рекомендуем развёртывать AstrBot с помощью Docker или Docker Compose.
+
+См. официальную документацию: [Развёртывание AstrBot с Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
+
+#### Развёртывание uv
+
+```bash
+uvx astrbot
+```
+
+#### Развёртывание BT-Panel
+
+AstrBot в партнёрстве с BT-Panel теперь доступен на их маркетплейсе.
+
+См. официальную документацию: [Развёртывание BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html).
+
+#### Развёртывание 1Panel
+
+AstrBot официально размещён на маркетплейсе 1Panel.
+
+См. официальную документацию: [Развёртывание 1Panel](https://astrbot.app/deploy/astrbot/1panel.html).
+
+#### Развёртывание на RainYun
+
+AstrBot официально размещён на облачной платформе приложений RainYun с развёртыванием в один клик.
+
+[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
+
+#### Развёртывание на Replit
+
+Метод развёртывания от сообщества.
+
+[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
+
+#### Установщик Windows в один клик
+
+См. официальную документацию: [Развёртывание AstrBot с установщиком Windows в один клик](https://astrbot.app/deploy/astrbot/windows.html).
+
+#### Развёртывание CasaOS
+
+Метод развёртывания от сообщества.
+
+См. официальную документацию: [Развёртывание CasaOS](https://astrbot.app/deploy/astrbot/casaos.html).
+
+#### Ручное развёртывание
+
+Сначала установите uv:
+
+```bash
+pip install uv
+```
+
+Установите AstrBot через Git Clone:
+
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
+uv run main.py
+```
+
+Или см. официальную документацию: [Развёртывание AstrBot из исходного кода](https://astrbot.app/deploy/astrbot/cli.html).
+
+## Поддерживаемые платформы обмена сообщениями
+
+**Официально поддерживаемые**
+
+- QQ (Официальная платформа и OneBot)
+- Telegram
+- Приложение WeChat Work и интеллектуальный бот WeChat Work
+- Служба поддержки WeChat и официальные аккаунты WeChat
+- Feishu (Lark)
+- DingTalk
+- Slack
+- Discord
+- Satori
+- Misskey
+- WhatsApp (Скоро)
+- LINE (Скоро)
+
+**Поддерживаемые сообществом**
+
+- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
+- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
+- [Личные сообщения Bilibili](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
+- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
+
+## Поддерживаемые сервисы моделей
+
+**Сервисы LLM**
+
+- OpenAI и совместимые сервисы
+- Anthropic
+- Google Gemini
+- Moonshot AI
+- Zhipu AI
+- DeepSeek
+- Ollama (Самостоятельное размещение)
+- LM Studio (Самостоятельное размещение)
+- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
+- [302.AI](https://share.302.ai/rr1M3l)
+- [TokenPony](https://www.tokenpony.cn/3YPyf)
+- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
+- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
+- ModelScope
+- OneAPI
+
+**Платформы LLMOps**
+
+- Dify
+- Приложения Alibaba Cloud Bailian
+- Coze
+
+**Сервисы распознавания речи**
+
+- OpenAI Whisper
+- SenseVoice
+
+**Сервисы синтеза речи**
+
+- OpenAI TTS
+- Gemini TTS
+- GPT-Sovits-Inference
+- GPT-Sovits
+- FishAudio
+- Edge TTS
+- Alibaba Cloud Bailian TTS
+- Azure TTS
+- Minimax TTS
+- Volcano Engine TTS
+
+## ❤️ Вклад в проект
+
+Issues и Pull Request всегда приветствуются! Не стесняйтесь отправлять свои изменения в этот проект :)
+
+### Как внести вклад
+
+Вы можете внести вклад, просматривая issues или помогая с ревью pull request. Любые issues или PR приветствуются для поощрения участия сообщества. Конечно, это лишь предложения — вы можете вносить вклад любым удобным для вас способом. Для добавления новых функций сначала обсудите это через Issue.
+
+### Среда разработки
+
+AstrBot использует `ruff` для форматирования и линтинга кода.
+
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot
+pip install pre-commit
+pre-commit install
+```
+
+## 🌍 Сообщество
+
+### Группы QQ
+
+- Группа 1: 322154837
+- Группа 3: 630166526
+- Группа 5: 822130018
+- Группа 6: 753075035
+- Группа разработчиков: 975206796
+
+### Группа Telegram
+
+<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>
+
+### Сервер Discord
+
+<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>
+
+## ❤️ Особая благодарность
+
+Особая благодарность всем контрибьюторам и разработчикам плагинов за их вклад в AstrBot ❤️
+
+<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
+</a>
+
+Кроме того, рождение этого проекта было бы невозможно без помощи следующих проектов с открытым исходным кодом:
+
+- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - Замечательный кошачий фреймворк
+
+## ⭐ История звёзд
+
+> [!TIP]
+> Если этот проект помог вам в жизни или работе, или если вас интересует его будущее развитие, пожалуйста, поставьте проекту звезду. Это движущая сила поддержки этого проекта с открытым исходным кодом <3
+
+<div align="center">
+
+[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
+
+</div>
+
+</details>
+
+_私は、高性能ですから!_
+

README_zh-TW.md

@@ -0,0 +1,248 @@
+![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
+
+</p>
+
+<div align="center">
+
+<br>
+
+<div>
+<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>
+<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+</div>
+
+<br>
+
+<div>
+<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
+<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="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>
+<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E5%80%8B&style=for-the-badge&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%A0%B4&cacheSeconds=3600">
+</div>
+
+<br>
+
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">简体中文</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
+
+<a href="https://astrbot.app/">文件</a> ｜
+<a href="https://blog.astrbot.app/">Blog</a> ｜
+<a href="https://astrbot.featurebase.app/roadmap">路線圖</a> ｜
+<a href="https://github.com/AstrBotDevs/AstrBot/issues">問題回報</a>
+</div>
+
+AstrBot 是一個開源的一站式 Agent 聊天機器人平台，可接入主流即時通訊軟體，為個人、開發者和團隊打造可靠、可擴展的對話式智慧基礎設施。無論是個人 AI 夥伴、智慧客服、自動化助手，還是企業知識庫，AstrBot 都能在您的即時通訊軟體平台的工作流程中快速構建生產可用的 AI 應用程式。
+
+<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
+
+## 主要功能
+
+1. 💯 免費 & 開源。
+2. ✨ AI 大型模型對話，多模態，Agent，MCP，知識庫，人格設定。
+3. 🤖 支援接入 Dify、阿里雲百煉、Coze 等智慧體平台。
+4. 🌐 多平台：QQ、企業微信、飛書、釘釘、微信公眾號、Telegram、Slack 以及[更多](#支援的訊息平台)。
+5. 📦 外掛擴充，已有近 800 個外掛可一鍵安裝。
+6. 💻 WebUI 支援。
+7. 🌐 國際化（i18n）支援。
+
+## 快速開始
+
+#### Docker 部署（推薦 🥳）
+
+推薦使用 Docker / Docker Compose 方式部署 AstrBot。
+
+請參閱官方文件 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
+
+#### uv 部署
+
+```bash
+uvx astrbot
+```
+
+#### 寶塔面板部署
+
+AstrBot 與寶塔面板合作，已上架至寶塔面板。
+
+請參閱官方文件 [寶塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html)。
+
+#### 1Panel 部署
+
+AstrBot 已由 1Panel 官方上架至 1Panel 面板。
+
+請參閱官方文件 [1Panel 部署](https://astrbot.app/deploy/astrbot/1panel.html)。
+
+#### 在雨雲上部署
+
+AstrBot 已由雨雲官方上架至雲端應用程式平台，可一鍵部署。
+
+[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
+
+#### 在 Replit 上部署
+
+社群貢獻的部署方式。
+
+[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
+
+#### Windows 一鍵安裝器部署
+
+請參閱官方文件 [使用 Windows 一鍵安裝器部署 AstrBot](https://astrbot.app/deploy/astrbot/windows.html)。
+
+#### CasaOS 部署
+
+社群貢獻的部署方式。
+
+請參閱官方文件 [CasaOS 部署](https://astrbot.app/deploy/astrbot/casaos.html)。
+
+#### 手動部署
+
+首先安裝 uv：
+
+```bash
+pip install uv
+```
+
+透過 Git Clone 安裝 AstrBot：
+
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
+uv run main.py
+```
+
+或者請參閱官方文件 [透過原始碼部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html)。
+
+## 支援的訊息平台
+
+**官方維護**
+
+- QQ（官方平台 & OneBot）
+- Telegram
+- 企微應用 & 企微智慧機器人
+- 微信客服 & 微信公眾號
+- 飛書
+- 釘釘
+- Slack
+- Discord
+- Satori
+- Misskey
+- Whatsapp（即將支援）
+- LINE（即將支援）
+
+**社群維護**
+
+- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
+- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
+- [Bilibili 私訊](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
+- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
+
+## 支援的模型服務
+
+**大型模型服務**
+
+- OpenAI 及相容服務
+- Anthropic
+- Google Gemini
+- Moonshot AI
+- 智譜 AI
+- DeepSeek
+- Ollama（本機部署）
+- LM Studio（本機部署）
+- [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
+- [302.AI](https://share.302.ai/rr1M3l)
+- [小馬算力](https://www.tokenpony.cn/3YPyf)
+- [矽基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot)
+- [PPIO 派歐雲](https://ppio.com/user/register?invited_by=AIOONE)
+- ModelScope
+- OneAPI
+
+**LLMOps 平台**
+
+- Dify
+- 阿里雲百煉應用
+- Coze
+
+**語音轉文字服務**
+
+- OpenAI Whisper
+- SenseVoice
+
+**文字轉語音服務**
+
+- OpenAI TTS
+- Gemini TTS
+- GPT-Sovits-Inference
+- GPT-Sovits
+- FishAudio
+- Edge TTS
+- 阿里雲百煉 TTS
+- Azure TTS
+- Minimax TTS
+- 火山引擎 TTS
+
+## ❤️ 貢獻
+
+歡迎任何 Issues/Pull Requests！只需要將您的變更提交到此專案 ：)
+
+### 如何貢獻
+
+您可以透過檢視問題或協助審核 PR（拉取請求）來貢獻。任何問題或 PR 都歡迎參與，以促進社群貢獻。當然，這些只是建議，您可以以任何方式進行貢獻。對於新功能的新增，請先透過 Issue 討論。
+
+### 開發環境
+
+AstrBot 使用 `ruff` 進行程式碼格式化和檢查。
+
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot
+pip install pre-commit
+pre-commit install
+```
+
+## 🌍 社群
+
+### QQ 群組
+
+- 1 群：322154837
+- 3 群：630166526
+- 5 群：822130018
+- 6 群：753075035
+- 開發者群：975206796
+
+### Telegram 群組
+
+<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 群組
+
+<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>
+
+## ❤️ Special Thanks
+
+特別感謝所有 Contributors 和外掛開發者對 AstrBot 的貢獻 ❤️
+
+<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
+</a>
+
+此外，本專案的誕生離不開以下開源專案的幫助：
+
+- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 偉大的貓貓框架
+
+## ⭐ Star History
+
+> [!TIP]
+> 如果本專案對您的生活 / 工作產生了幫助，或者您關注本專案的未來發展，請給專案 Star，這是我們維護這個開源專案的動力 <3
+
+<div align="center">
+
+[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
+
+</div>
+
+</details>
+
+_私は、高性能ですから!_
+

astrbot/cli/__init__.py

@@ -1 +1 @@
-__version__ = "3.5.23"
+__version__ = "4.8.0"

astrbot/core/agent/mcp_client.py

@@ -4,6 +4,14 @@ from contextlib import AsyncExitStack
 from datetime import timedelta
 from typing import Generic
 
+from tenacity import (
+    before_sleep_log,
+    retry,
+    retry_if_exception_type,
+    stop_after_attempt,
+    wait_exponential,
+)
+
 from astrbot import logger
 from astrbot.core.agent.run_context import ContextWrapper
 from astrbot.core.utils.log_pipe import LogPipe
@@ -12,21 +20,24 @@ from .run_context import TContext
 from .tool import FunctionTool
 
 try:
+    import anyio
     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。")
+    logger.warning(
+        "Warning: Missing 'mcp' dependency, MCP services will be unavailable."
+    )
 
 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。",
+        "Warning: Missing 'mcp' dependency or MCP library version too old, Streamable HTTP connection unavailable.",
     )
 
 
 def _prepare_config(config: dict) -> dict:
-    """准备配置，处理嵌套格式"""
+    """Prepare configuration, handle nested format"""
     if config.get("mcpServers"):
         first_key = next(iter(config["mcpServers"]))
         config = config["mcpServers"][first_key]
@@ -35,7 +46,7 @@ def _prepare_config(config: dict) -> dict:
 
 
 async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
-    """快速测试 MCP 服务器可达性"""
+    """Quick test MCP server connectivity"""
     import aiohttp
 
     cfg = _prepare_config(config.copy())
@@ -50,7 +61,7 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
         elif "type" in cfg:
             transport_type = cfg["type"]
         else:
-            raise Exception("MCP 连接配置缺少 transport 或 type 字段")
+            raise Exception("MCP connection config missing transport or type field")
 
         async with aiohttp.ClientSession() as session:
             if transport_type == "streamable_http":
@@ -91,7 +102,7 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
                     return False, f"HTTP {response.status}: {response.reason}"
 
     except asyncio.TimeoutError:
-        return False, f"连接超时: {timeout}秒"
+        return False, f"Connection timeout: {timeout} seconds"
     except Exception as e:
         return False, f"{e!s}"
 
@@ -101,6 +112,7 @@ class MCPClient:
         # Initialize session and client objects
         self.session: mcp.ClientSession | None = None
         self.exit_stack = AsyncExitStack()
+        self._old_exit_stacks: list[AsyncExitStack] = []  # Track old stacks for cleanup
 
         self.name: str | None = None
         self.active: bool = True
@@ -108,22 +120,32 @@ class MCPClient:
         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
+        # Store connection config for reconnection
+        self._mcp_server_config: dict | None = None
+        self._server_name: str | None = None
+        self._reconnect_lock = asyncio.Lock()  # Lock for thread-safe reconnection
+        self._reconnecting: bool = False  # For logging and debugging
 
-        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。
+    async def connect_to_server(self, mcp_server_config: dict, name: str):
+        """Connect to MCP server
+
+        If `url` parameter exists:
+            1. When transport is specified as `streamable_http`, use Streamable HTTP connection.
+            2. When transport is specified as `sse`, use SSE connection.
+            3. If not specified, default to SSE connection to MCP service.
 
         Args:
             mcp_server_config (dict): Configuration for the MCP server. See https://modelcontextprotocol.io/quickstart/server
 
         """
+        # Store config for reconnection
+        self._mcp_server_config = mcp_server_config
+        self._server_name = name
+
         cfg = _prepare_config(mcp_server_config.copy())
 
         def logging_callback(msg: str):
-            # 处理 MCP 服务的错误日志
+            # Handle MCP service error logs
             print(f"MCP Server {name} Error: {msg}")
             self.server_errlogs.append(msg)
 
@@ -137,7 +159,7 @@ class MCPClient:
             elif "type" in cfg:
                 transport_type = cfg["type"]
             else:
-                raise Exception("MCP 连接配置缺少 transport 或 type 字段")
+                raise Exception("MCP connection config missing transport or type field")
 
             if transport_type != "streamable_http":
                 # SSE transport method
@@ -193,7 +215,7 @@ class MCPClient:
             )
 
             def callback(msg: str):
-                # 处理 MCP 服务的错误日志
+                # Handle MCP service error logs
                 self.server_errlogs.append(msg)
 
             stdio_transport = await self.exit_stack.enter_async_context(
@@ -222,10 +244,120 @@ class MCPClient:
         self.tools = response.tools
         return response
 
+    async def _reconnect(self) -> None:
+        """Reconnect to the MCP server using the stored configuration.
+
+        Uses asyncio.Lock to ensure thread-safe reconnection in concurrent environments.
+
+        Raises:
+            Exception: raised when reconnection fails
+        """
+        async with self._reconnect_lock:
+            # Check if already reconnecting (useful for logging)
+            if self._reconnecting:
+                logger.debug(
+                    f"MCP Client {self._server_name} is already reconnecting, skipping"
+                )
+                return
+
+            if not self._mcp_server_config or not self._server_name:
+                raise Exception("Cannot reconnect: missing connection configuration")
+
+            self._reconnecting = True
+            try:
+                logger.info(
+                    f"Attempting to reconnect to MCP server {self._server_name}..."
+                )
+
+                # Save old exit_stack for later cleanup (don't close it now to avoid cancel scope issues)
+                if self.exit_stack:
+                    self._old_exit_stacks.append(self.exit_stack)
+
+                # Mark old session as invalid
+                self.session = None
+
+                # Create new exit stack for new connection
+                self.exit_stack = AsyncExitStack()
+
+                # Reconnect using stored config
+                await self.connect_to_server(self._mcp_server_config, self._server_name)
+                await self.list_tools_and_save()
+
+                logger.info(
+                    f"Successfully reconnected to MCP server {self._server_name}"
+                )
+            except Exception as e:
+                logger.error(
+                    f"Failed to reconnect to MCP server {self._server_name}: {e}"
+                )
+                raise
+            finally:
+                self._reconnecting = False
+
+    async def call_tool_with_reconnect(
+        self,
+        tool_name: str,
+        arguments: dict,
+        read_timeout_seconds: timedelta,
+    ) -> mcp.types.CallToolResult:
+        """Call MCP tool with automatic reconnection on failure, max 2 retries.
+
+        Args:
+            tool_name: tool name
+            arguments: tool arguments
+            read_timeout_seconds: read timeout
+
+        Returns:
+            MCP tool call result
+
+        Raises:
+            ValueError: MCP session is not available
+            anyio.ClosedResourceError: raised after reconnection failure
+        """
+
+        @retry(
+            retry=retry_if_exception_type(anyio.ClosedResourceError),
+            stop=stop_after_attempt(2),
+            wait=wait_exponential(multiplier=1, min=1, max=3),
+            before_sleep=before_sleep_log(logger, logging.WARNING),
+            reraise=True,
+        )
+        async def _call_with_retry():
+            if not self.session:
+                raise ValueError("MCP session is not available for MCP function tools.")
+
+            try:
+                return await self.session.call_tool(
+                    name=tool_name,
+                    arguments=arguments,
+                    read_timeout_seconds=read_timeout_seconds,
+                )
+            except anyio.ClosedResourceError:
+                logger.warning(
+                    f"MCP tool {tool_name} call failed (ClosedResourceError), attempting to reconnect..."
+                )
+                # Attempt to reconnect
+                await self._reconnect()
+                # Reraise the exception to trigger tenacity retry
+                raise
+
+        return await _call_with_retry()
+
     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
+        """Clean up resources including old exit stacks from reconnections"""
+        # Close current exit stack
+        try:
+            await self.exit_stack.aclose()
+        except Exception as e:
+            logger.debug(f"Error closing current exit stack: {e}")
+
+        # Don't close old exit stacks as they may be in different task contexts
+        # They will be garbage collected naturally
+        # Just clear the list to release references
+        self._old_exit_stacks.clear()
+
+        # Set running_event first to unblock any waiting tasks
+        self.running_event.set()
 
 
 class MCPTool(FunctionTool, Generic[TContext]):
@@ -246,14 +378,8 @@ class MCPTool(FunctionTool, Generic[TContext]):
     async def call(
         self, context: ContextWrapper[TContext], **kwargs
     ) -> mcp.types.CallToolResult:
-        session = self.mcp_client.session
-        if not session:
-            raise ValueError("MCP session is not available for MCP function tools.")
-        res = await session.call_tool(
-            name=self.mcp_tool.name,
+        return await self.mcp_client.call_tool_with_reconnect(
+            tool_name=self.mcp_tool.name,
             arguments=kwargs,
-            read_timeout_seconds=timedelta(
-                seconds=context.tool_call_timeout,
-            ),
+            read_timeout_seconds=timedelta(seconds=context.tool_call_timeout),
         )
-        return res

astrbot/core/agent/message.py

@@ -3,7 +3,7 @@
 
 from typing import Any, ClassVar, Literal, cast
 
-from pydantic import BaseModel, GetCoreSchemaHandler
+from pydantic import BaseModel, GetCoreSchemaHandler, model_validator
 from pydantic_core import core_schema
 
 
@@ -119,6 +119,13 @@ class ToolCall(BaseModel):
     """The ID of the tool call."""
     function: FunctionBody
     """The function body of the tool call."""
+    extra_content: dict[str, Any] | None = None
+    """Extra metadata for the tool call."""
+
+    def model_dump(self, **kwargs: Any) -> dict[str, Any]:
+        if self.extra_content is None:
+            kwargs.setdefault("exclude", set()).add("extra_content")
+        return super().model_dump(**kwargs)
 
 
 class ToolCallPart(BaseModel):
@@ -138,22 +145,39 @@ class Message(BaseModel):
         "tool",
     ]
 
-    content: str | list[ContentPart]
+    content: str | list[ContentPart] | None = None
     """The content of the message."""
 
+    tool_calls: list[ToolCall] | list[dict] | None = None
+    """The tool calls of the message."""
+
+    tool_call_id: str | None = None
+    """The ID of the tool call."""
+
+    @model_validator(mode="after")
+    def check_content_required(self):
+        # assistant + tool_calls is not None: allow content to be None
+        if self.role == "assistant" and self.tool_calls is not None:
+            return self
+
+        # other all cases: content is required
+        if self.content is None:
+            raise ValueError(
+                "content is required unless role='assistant' and tool_calls is not None"
+            )
+        return self
+
 
 class AssistantMessageSegment(Message):
     """A message segment from the assistant."""
 
     role: Literal["assistant"] = "assistant"
-    tool_calls: list[ToolCall] | list[dict] | None = None
 
 
 class ToolCallMessageSegment(Message):
     """A message segment representing a tool call."""
 
     role: Literal["tool"] = "tool"
-    tool_call_id: str
 
 
 class UserMessageSegment(Message):

astrbot/core/agent/runners/base.py

@@ -2,13 +2,12 @@ import abc
 import typing as T
 from enum import Enum, auto
 
-from astrbot.core.provider import Provider
+from astrbot import logger
 from astrbot.core.provider.entities import LLMResponse
 
 from ..hooks import BaseAgentRunHooks
 from ..response import AgentResponse
 from ..run_context import ContextWrapper, TContext
-from ..tool_executor import BaseFunctionToolExecutor
 
 
 class AgentState(Enum):
@@ -24,9 +23,7 @@ class BaseAgentRunner(T.Generic[TContext]):
     @abc.abstractmethod
     async def reset(
         self,
-        provider: Provider,
         run_context: ContextWrapper[TContext],
-        tool_executor: BaseFunctionToolExecutor[TContext],
         agent_hooks: BaseAgentRunHooks[TContext],
         **kwargs: T.Any,
     ) -> None:
@@ -60,3 +57,9 @@ class BaseAgentRunner(T.Generic[TContext]):
         This method should be called after the agent is done.
         """
         ...
+
+    def _transition_state(self, new_state: AgentState) -> None:
+        """Transition the agent state."""
+        if self._state != new_state:
+            logger.debug(f"Agent state transition: {self._state} -> {new_state}")
+            self._state = new_state

astrbot/core/agent/runners/coze/coze_agent_runner.py

@@ -0,0 +1,367 @@
+import base64
+import json
+import sys
+import typing as T
+
+import astrbot.core.message.components as Comp
+from astrbot import logger
+from astrbot.core import sp
+from astrbot.core.message.message_event_result import MessageChain
+from astrbot.core.provider.entities import (
+    LLMResponse,
+    ProviderRequest,
+)
+
+from ...hooks import BaseAgentRunHooks
+from ...response import AgentResponseData
+from ...run_context import ContextWrapper, TContext
+from ..base import AgentResponse, AgentState, BaseAgentRunner
+from .coze_api_client import CozeAPIClient
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
+
+class CozeAgentRunner(BaseAgentRunner[TContext]):
+    """Coze Agent Runner"""
+
+    @override
+    async def reset(
+        self,
+        request: ProviderRequest,
+        run_context: ContextWrapper[TContext],
+        agent_hooks: BaseAgentRunHooks[TContext],
+        provider_config: dict,
+        **kwargs: T.Any,
+    ) -> None:
+        self.req = request
+        self.streaming = kwargs.get("streaming", False)
+        self.final_llm_resp = None
+        self._state = AgentState.IDLE
+        self.agent_hooks = agent_hooks
+        self.run_context = run_context
+
+        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)
+
+        # 创建 API 客户端
+        self.api_client = CozeAPIClient(api_key=self.api_key, api_base=self.api_base)
+
+        # 会话相关缓存
+        self.file_id_cache: dict[str, dict[str, str]] = {}
+
+    @override
+    async def step(self):
+        """
+        执行 Coze Agent 的一个步骤
+        """
+        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)
+
+        try:
+            # 执行 Coze 请求并处理结果
+            async for response in self._execute_coze_request():
+                yield response
+        except Exception as e:
+            logger.error(f"Coze 请求失败：{str(e)}")
+            self._transition_state(AgentState.ERROR)
+            self.final_llm_resp = LLMResponse(
+                role="err", completion_text=f"Coze 请求失败：{str(e)}"
+            )
+            yield AgentResponse(
+                type="err",
+                data=AgentResponseData(
+                    chain=MessageChain().message(f"Coze 请求失败：{str(e)}")
+                ),
+            )
+        finally:
+            await self.api_client.close()
+
+    @override
+    async def step_until_done(
+        self, max_step: int = 30
+    ) -> T.AsyncGenerator[AgentResponse, None]:
+        while not self.done():
+            async for resp in self.step():
+                yield resp
+
+    async def _execute_coze_request(self):
+        """执行 Coze 请求的核心逻辑"""
+        prompt = self.req.prompt or ""
+        session_id = self.req.session_id or "unknown"
+        image_urls = self.req.image_urls or []
+        contexts = self.req.contexts or []
+        system_prompt = self.req.system_prompt
+
+        # 用户ID参数
+        user_id = session_id
+
+        # 获取或创建会话ID
+        conversation_id = await sp.get_async(
+            scope="umo",
+            scope_id=user_id,
+            key="coze_conversation_id",
+            default="",
+        )
+
+        # 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",
+                    },
+                )
+
+        # 处理历史上下文
+        if not self.auto_save_history and contexts:
+            for ctx in contexts:
+                if isinstance(ctx, dict) and "role" in ctx and "content" in ctx:
+                    # 处理上下文中的图片
+                    content = ctx["content"]
+                    if isinstance(content, list):
+                        # 多模态内容，需要处理图片
+                        processed_content = []
+                        for item in content:
+                            if isinstance(item, dict):
+                                if item.get("type") == "text":
+                                    processed_content.append(item)
+                                elif item.get("type") == "image_url":
+                                    # 处理图片上传
+                                    try:
+                                        image_data = item.get("image_url", {})
+                                        url = image_data.get("url", "")
+                                        if url:
+                                            file_id = (
+                                                await self._download_and_upload_image(
+                                                    url, session_id
+                                                )
+                                            )
+                                            processed_content.append(
+                                                {
+                                                    "type": "file",
+                                                    "file_id": file_id,
+                                                    "file_url": url,
+                                                }
+                                            )
+                                    except Exception as e:
+                                        logger.warning(f"处理上下文图片失败: {e}")
+                                        continue
+
+                        if processed_content:
+                            additional_messages.append(
+                                {
+                                    "role": ctx["role"],
+                                    "content": processed_content,
+                                    "content_type": "object_string",
+                                }
+                            )
+                    else:
+                        # 纯文本内容
+                        additional_messages.append(
+                            {
+                                "role": ctx["role"],
+                                "content": content,
+                                "content_type": "text",
+                            }
+                        )
+
+        # 构建当前消息
+        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:
+                    # the url is a base64 string
+                    try:
+                        image_data = base64.b64decode(url)
+                        file_id = await self.api_client.upload_file(image_data)
+                        object_string_content.append(
+                            {
+                                "type": "image",
+                                "file_id": file_id,
+                            }
+                        )
+                    except Exception as e:
+                        logger.warning(f"处理图片失败 {url}: {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",
+                        }
+                    )
+            elif prompt:
+                # 纯文本
+                additional_messages.append(
+                    {
+                        "role": "user",
+                        "content": prompt,
+                        "content_type": "text",
+                    },
+                )
+
+        # 执行 Coze API 请求
+        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:
+                    await sp.put_async(
+                        scope="umo",
+                        scope_id=user_id,
+                        key="coze_conversation_id",
+                        value=data["conversation_id"],
+                    )
+
+            if event_type == "conversation.message.delta":
+                # 增量消息
+                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:
+                    accumulated_content += content
+                    message_started = True
+
+                    # 如果是流式响应，发送增量数据
+                    if self.streaming:
+                        yield AgentResponse(
+                            type="streaming_delta",
+                            data=AgentResponseData(
+                                chain=MessageChain().message(content)
+                            ),
+                        )
+
+            elif event_type == "conversation.message.completed":
+                # 消息完成
+                logger.debug("Coze message completed")
+                message_started = True
+
+            elif event_type == "conversation.chat.completed":
+                # 对话完成
+                logger.debug("Coze chat completed")
+                break
+
+            elif event_type == "error":
+                # 错误处理
+                error_msg = data.get("msg", "未知错误")
+                error_code = data.get("code", "UNKNOWN")
+                logger.error(f"Coze 出现错误: {error_code} - {error_msg}")
+                raise Exception(f"Coze 出现错误: {error_code} - {error_msg}")
+
+        if not message_started and not accumulated_content:
+            logger.warning("Coze 未返回任何内容")
+            accumulated_content = ""
+
+        # 创建最终响应
+        chain = MessageChain(chain=[Comp.Plain(accumulated_content)])
+        self.final_llm_resp = LLMResponse(role="assistant", result_chain=chain)
+        self._transition_state(AgentState.DONE)
+
+        try:
+            await self.agent_hooks.on_agent_done(self.run_context, self.final_llm_resp)
+        except Exception as e:
+            logger.error(f"Error in on_agent_done hook: {e}", exc_info=True)
+
+        # 返回最终结果
+        yield AgentResponse(
+            type="llm_result",
+            data=AgentResponseData(chain=chain),
+        )
+
+    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"""
+        import hashlib
+
+        # 计算哈希实现缓存
+        cache_key = hashlib.md5(image_url.encode("utf-8")).hexdigest()
+
+        if session_id:
+            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]
+                logger.debug(f"[Coze] 使用缓存的 file_id: {file_id}")
+                return file_id
+
+        try:
+            image_data = await self.api_client.download_image(image_url)
+            file_id = await self.api_client.upload_file(image_data)
+
+            if 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
+
+        except Exception as e:
+            logger.error(f"处理图片失败 {image_url}: {e!s}")
+            raise Exception(f"处理图片失败: {e!s}")
+
+    @override
+    def done(self) -> bool:
+        """检查 Agent 是否已完成工作"""
+        return self._state in (AgentState.DONE, AgentState.ERROR)
+
+    @override
+    def get_final_llm_resp(self) -> LLMResponse | None:
+        return self.final_llm_resp

astrbot/core/agent/runners/dashscope/dashscope_agent_runner.py

@@ -0,0 +1,403 @@
+import asyncio
+import functools
+import queue
+import re
+import sys
+import threading
+import typing as T
+
+from dashscope import Application
+from dashscope.app.application_response import ApplicationResponse
+
+import astrbot.core.message.components as Comp
+from astrbot.core import logger, sp
+from astrbot.core.message.message_event_result import MessageChain
+from astrbot.core.provider.entities import (
+    LLMResponse,
+    ProviderRequest,
+)
+
+from ...hooks import BaseAgentRunHooks
+from ...response import AgentResponseData
+from ...run_context import ContextWrapper, TContext
+from ..base import AgentResponse, AgentState, BaseAgentRunner
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
+
+class DashscopeAgentRunner(BaseAgentRunner[TContext]):
+    """Dashscope Agent Runner"""
+
+    @override
+    async def reset(
+        self,
+        request: ProviderRequest,
+        run_context: ContextWrapper[TContext],
+        agent_hooks: BaseAgentRunHooks[TContext],
+        provider_config: dict,
+        **kwargs: T.Any,
+    ) -> None:
+        self.req = request
+        self.streaming = kwargs.get("streaming", False)
+        self.final_llm_resp = None
+        self._state = AgentState.IDLE
+        self.agent_hooks = agent_hooks
+        self.run_context = run_context
+
+        self.api_key = provider_config.get("dashscope_api_key", "")
+        if not self.api_key:
+            raise Exception("阿里云百炼 API Key 不能为空。")
+        self.app_id = provider_config.get("dashscope_app_id", "")
+        if not self.app_id:
+            raise Exception("阿里云百炼 APP ID 不能为空。")
+        self.dashscope_app_type = provider_config.get("dashscope_app_type", "")
+        if not self.dashscope_app_type:
+            raise Exception("阿里云百炼 APP 类型不能为空。")
+
+        self.variables: dict = provider_config.get("variables", {}) or {}
+        self.rag_options: dict = provider_config.get("rag_options", {})
+        self.output_reference = self.rag_options.get("output_reference", False)
+        self.rag_options = self.rag_options.copy()
+        self.rag_options.pop("output_reference", None)
+
+        self.timeout = provider_config.get("timeout", 120)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+
+    def has_rag_options(self):
+        """判断是否有 RAG 选项
+
+        Returns:
+            bool: 是否有 RAG 选项
+
+        """
+        if self.rag_options and (
+            len(self.rag_options.get("pipeline_ids", [])) > 0
+            or len(self.rag_options.get("file_ids", [])) > 0
+        ):
+            return True
+        return False
+
+    @override
+    async def step(self):
+        """
+        执行 Dashscope Agent 的一个步骤
+        """
+        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)
+
+        try:
+            # 执行 Dashscope 请求并处理结果
+            async for response in self._execute_dashscope_request():
+                yield response
+        except Exception as e:
+            logger.error(f"阿里云百炼请求失败：{str(e)}")
+            self._transition_state(AgentState.ERROR)
+            self.final_llm_resp = LLMResponse(
+                role="err", completion_text=f"阿里云百炼请求失败：{str(e)}"
+            )
+            yield AgentResponse(
+                type="err",
+                data=AgentResponseData(
+                    chain=MessageChain().message(f"阿里云百炼请求失败：{str(e)}")
+                ),
+            )
+
+    @override
+    async def step_until_done(
+        self, max_step: int = 30
+    ) -> T.AsyncGenerator[AgentResponse, None]:
+        while not self.done():
+            async for resp in self.step():
+                yield resp
+
+    def _consume_sync_generator(
+        self, response: T.Any, response_queue: queue.Queue
+    ) -> None:
+        """在线程中消费同步generator,将结果放入队列
+
+        Args:
+            response: 同步generator对象
+            response_queue: 用于传递数据的队列
+
+        """
+        try:
+            if self.streaming:
+                for chunk in response:
+                    response_queue.put(("data", chunk))
+            else:
+                response_queue.put(("data", response))
+        except Exception as e:
+            response_queue.put(("error", e))
+        finally:
+            response_queue.put(("done", None))
+
+    async def _process_stream_chunk(
+        self, chunk: ApplicationResponse, output_text: str
+    ) -> tuple[str, list | None, AgentResponse | None]:
+        """处理流式响应的单个chunk
+
+        Args:
+            chunk: Dashscope响应chunk
+            output_text: 当前累积的输出文本
+
+        Returns:
+            (更新后的output_text, doc_references, AgentResponse或None)
+
+        """
+        logger.debug(f"dashscope stream chunk: {chunk}")
+
+        if chunk.status_code != 200:
+            logger.error(
+                f"阿里云百炼请求失败: request_id={chunk.request_id}, code={chunk.status_code}, message={chunk.message}, 请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code",
+            )
+            self._transition_state(AgentState.ERROR)
+            error_msg = (
+                f"阿里云百炼请求失败: message={chunk.message} code={chunk.status_code}"
+            )
+            self.final_llm_resp = LLMResponse(
+                role="err",
+                result_chain=MessageChain().message(error_msg),
+            )
+            return (
+                output_text,
+                None,
+                AgentResponse(
+                    type="err",
+                    data=AgentResponseData(chain=MessageChain().message(error_msg)),
+                ),
+            )
+
+        chunk_text = chunk.output.get("text", "") or ""
+        # RAG 引用脚标格式化
+        chunk_text = re.sub(r"<ref>\[(\d+)\]</ref>", r"[\1]", chunk_text)
+
+        response = None
+        if chunk_text:
+            output_text += chunk_text
+            response = AgentResponse(
+                type="streaming_delta",
+                data=AgentResponseData(chain=MessageChain().message(chunk_text)),
+            )
+
+        # 获取文档引用
+        doc_references = chunk.output.get("doc_references", None)
+
+        return output_text, doc_references, response
+
+    def _format_doc_references(self, doc_references: list) -> str:
+        """格式化文档引用为文本
+
+        Args:
+            doc_references: 文档引用列表
+
+        Returns:
+            格式化后的引用文本
+
+        """
+        ref_parts = []
+        for ref in doc_references:
+            ref_title = (
+                ref.get("title", "") if ref.get("title") else ref.get("doc_name", "")
+            )
+            ref_parts.append(f"{ref['index_id']}. {ref_title}\n")
+        ref_str = "".join(ref_parts)
+        return f"\n\n回答来源:\n{ref_str}"
+
+    async def _build_request_payload(
+        self, prompt: str, session_id: str, contexts: list, system_prompt: str
+    ) -> dict:
+        """构建请求payload
+
+        Args:
+            prompt: 用户输入
+            session_id: 会话ID
+            contexts: 上下文列表
+            system_prompt: 系统提示词
+
+        Returns:
+            请求payload字典
+
+        """
+        conversation_id = await sp.get_async(
+            scope="umo",
+            scope_id=session_id,
+            key="dashscope_conversation_id",
+            default="",
+        )
+        # 获得会话变量
+        payload_vars = self.variables.copy()
+        session_var = await sp.get_async(
+            scope="umo",
+            scope_id=session_id,
+            key="session_variables",
+            default={},
+        )
+        payload_vars.update(session_var)
+
+        if (
+            self.dashscope_app_type in ["agent", "dialog-workflow"]
+            and not self.has_rag_options()
+        ):
+            # 支持多轮对话的
+            p = {
+                "app_id": self.app_id,
+                "api_key": self.api_key,
+                "prompt": prompt,
+                "biz_params": payload_vars or None,
+                "stream": self.streaming,
+                "incremental_output": True,
+            }
+            if conversation_id:
+                p["session_id"] = conversation_id
+            return p
+        else:
+            # 不支持多轮对话的
+            payload = {
+                "app_id": self.app_id,
+                "prompt": prompt,
+                "api_key": self.api_key,
+                "biz_params": payload_vars or None,
+                "stream": self.streaming,
+                "incremental_output": True,
+            }
+            if self.rag_options:
+                payload["rag_options"] = self.rag_options
+            return payload
+
+    async def _handle_streaming_response(
+        self, response: T.Any, session_id: str
+    ) -> T.AsyncGenerator[AgentResponse, None]:
+        """处理流式响应
+
+        Args:
+            response: Dashscope 流式响应 generator
+
+        Yields:
+            AgentResponse 对象
+
+        """
+        response_queue = queue.Queue()
+        consumer_thread = threading.Thread(
+            target=self._consume_sync_generator,
+            args=(response, response_queue),
+            daemon=True,
+        )
+        consumer_thread.start()
+
+        output_text = ""
+        doc_references = None
+
+        while True:
+            try:
+                item_type, item_data = await asyncio.get_event_loop().run_in_executor(
+                    None, response_queue.get, True, 1
+                )
+            except queue.Empty:
+                continue
+
+            if item_type == "done":
+                break
+            elif item_type == "error":
+                raise item_data
+            elif item_type == "data":
+                chunk = item_data
+                assert isinstance(chunk, ApplicationResponse)
+
+                (
+                    output_text,
+                    chunk_doc_refs,
+                    response,
+                ) = await self._process_stream_chunk(chunk, output_text)
+
+                if response:
+                    if response.type == "err":
+                        yield response
+                        return
+                    yield response
+
+                if chunk_doc_refs:
+                    doc_references = chunk_doc_refs
+
+                if chunk.output.session_id:
+                    await sp.put_async(
+                        scope="umo",
+                        scope_id=session_id,
+                        key="dashscope_conversation_id",
+                        value=chunk.output.session_id,
+                    )
+
+        # 添加 RAG 引用
+        if self.output_reference and doc_references:
+            ref_text = self._format_doc_references(doc_references)
+            output_text += ref_text
+
+            if self.streaming:
+                yield AgentResponse(
+                    type="streaming_delta",
+                    data=AgentResponseData(chain=MessageChain().message(ref_text)),
+                )
+
+        # 创建最终响应
+        chain = MessageChain(chain=[Comp.Plain(output_text)])
+        self.final_llm_resp = LLMResponse(role="assistant", result_chain=chain)
+        self._transition_state(AgentState.DONE)
+
+        try:
+            await self.agent_hooks.on_agent_done(self.run_context, self.final_llm_resp)
+        except Exception as e:
+            logger.error(f"Error in on_agent_done hook: {e}", exc_info=True)
+
+        # 返回最终结果
+        yield AgentResponse(
+            type="llm_result",
+            data=AgentResponseData(chain=chain),
+        )
+
+    async def _execute_dashscope_request(self):
+        """执行 Dashscope 请求的核心逻辑"""
+        prompt = self.req.prompt or ""
+        session_id = self.req.session_id or "unknown"
+        image_urls = self.req.image_urls or []
+        contexts = self.req.contexts or []
+        system_prompt = self.req.system_prompt
+
+        # 检查图片输入
+        if image_urls:
+            logger.warning("阿里云百炼暂不支持图片输入，将自动忽略图片内容。")
+
+        # 构建请求payload
+        payload = await self._build_request_payload(
+            prompt, session_id, contexts, system_prompt
+        )
+
+        if not self.streaming:
+            payload["incremental_output"] = False
+
+        # 发起请求
+        partial = functools.partial(Application.call, **payload)
+        response = await asyncio.get_event_loop().run_in_executor(None, partial)
+
+        async for resp in self._handle_streaming_response(response, session_id):
+            yield resp
+
+    @override
+    def done(self) -> bool:
+        """检查 Agent 是否已完成工作"""
+        return self._state in (AgentState.DONE, AgentState.ERROR)
+
+    @override
+    def get_final_llm_resp(self) -> LLMResponse | None:
+        return self.final_llm_resp

astrbot/core/agent/runners/dify/dify_agent_runner.py

@@ -0,0 +1,336 @@
+import base64
+import os
+import sys
+import typing as T
+
+import astrbot.core.message.components as Comp
+from astrbot.core import logger, sp
+from astrbot.core.message.message_event_result import MessageChain
+from astrbot.core.provider.entities import (
+    LLMResponse,
+    ProviderRequest,
+)
+from astrbot.core.utils.astrbot_path import get_astrbot_data_path
+from astrbot.core.utils.io import download_file
+
+from ...hooks import BaseAgentRunHooks
+from ...response import AgentResponseData
+from ...run_context import ContextWrapper, TContext
+from ..base import AgentResponse, AgentState, BaseAgentRunner
+from .dify_api_client import DifyAPIClient
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
+
+class DifyAgentRunner(BaseAgentRunner[TContext]):
+    """Dify Agent Runner"""
+
+    @override
+    async def reset(
+        self,
+        request: ProviderRequest,
+        run_context: ContextWrapper[TContext],
+        agent_hooks: BaseAgentRunHooks[TContext],
+        provider_config: dict,
+        **kwargs: T.Any,
+    ) -> None:
+        self.req = request
+        self.streaming = kwargs.get("streaming", False)
+        self.final_llm_resp = None
+        self._state = AgentState.IDLE
+        self.agent_hooks = agent_hooks
+        self.run_context = run_context
+
+        self.api_key = provider_config.get("dify_api_key", "")
+        self.api_base = provider_config.get("dify_api_base", "https://api.dify.ai/v1")
+        self.api_type = provider_config.get("dify_api_type", "chat")
+        self.workflow_output_key = provider_config.get(
+            "dify_workflow_output_key",
+            "astrbot_wf_output",
+        )
+        self.dify_query_input_key = provider_config.get(
+            "dify_query_input_key",
+            "astrbot_text_query",
+        )
+        self.variables: dict = provider_config.get("variables", {}) or {}
+        self.timeout = provider_config.get("timeout", 60)
+        if isinstance(self.timeout, str):
+            self.timeout = int(self.timeout)
+
+        self.api_client = DifyAPIClient(self.api_key, self.api_base)
+
+    @override
+    async def step(self):
+        """
+        执行 Dify Agent 的一个步骤
+        """
+        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)
+
+        try:
+            # 执行 Dify 请求并处理结果
+            async for response in self._execute_dify_request():
+                yield response
+        except Exception as e:
+            logger.error(f"Dify 请求失败：{str(e)}")
+            self._transition_state(AgentState.ERROR)
+            self.final_llm_resp = LLMResponse(
+                role="err", completion_text=f"Dify 请求失败：{str(e)}"
+            )
+            yield AgentResponse(
+                type="err",
+                data=AgentResponseData(
+                    chain=MessageChain().message(f"Dify 请求失败：{str(e)}")
+                ),
+            )
+        finally:
+            await self.api_client.close()
+
+    @override
+    async def step_until_done(
+        self, max_step: int = 30
+    ) -> T.AsyncGenerator[AgentResponse, None]:
+        while not self.done():
+            async for resp in self.step():
+                yield resp
+
+    async def _execute_dify_request(self):
+        """执行 Dify 请求的核心逻辑"""
+        prompt = self.req.prompt or ""
+        session_id = self.req.session_id or "unknown"
+        image_urls = self.req.image_urls or []
+        system_prompt = self.req.system_prompt
+
+        conversation_id = await sp.get_async(
+            scope="umo",
+            scope_id=session_id,
+            key="dify_conversation_id",
+            default="",
+        )
+        result = ""
+
+        # 处理图片上传
+        files_payload = []
+        for image_url in image_urls:
+            # image_url is a base64 string
+            try:
+                image_data = base64.b64decode(image_url)
+                file_response = await self.api_client.file_upload(
+                    file_data=image_data,
+                    user=session_id,
+                    mime_type="image/png",
+                    file_name="image.png",
+                )
+                logger.debug(f"Dify 上传图片响应：{file_response}")
+                if "id" not in file_response:
+                    logger.warning(
+                        f"上传图片后得到未知的 Dify 响应：{file_response}，图片将忽略。"
+                    )
+                    continue
+                files_payload.append(
+                    {
+                        "type": "image",
+                        "transfer_method": "local_file",
+                        "upload_file_id": file_response["id"],
+                    }
+                )
+            except Exception as e:
+                logger.warning(f"上传图片失败：{e}")
+                continue
+
+        # 获得会话变量
+        payload_vars = self.variables.copy()
+        # 动态变量
+        session_var = await sp.get_async(
+            scope="umo",
+            scope_id=session_id,
+            key="session_variables",
+            default={},
+        )
+        payload_vars.update(session_var)
+        payload_vars["system_prompt"] = system_prompt
+
+        # 处理不同的 API 类型
+        match self.api_type:
+            case "chat" | "agent" | "chatflow":
+                if not prompt:
+                    prompt = "请描述这张图片。"
+
+                async for chunk in self.api_client.chat_messages(
+                    inputs={
+                        **payload_vars,
+                    },
+                    query=prompt,
+                    user=session_id,
+                    conversation_id=conversation_id,
+                    files=files_payload,
+                    timeout=self.timeout,
+                ):
+                    logger.debug(f"dify resp chunk: {chunk}")
+                    if chunk["event"] == "message" or chunk["event"] == "agent_message":
+                        result += chunk["answer"]
+                        if not conversation_id:
+                            await sp.put_async(
+                                scope="umo",
+                                scope_id=session_id,
+                                key="dify_conversation_id",
+                                value=chunk["conversation_id"],
+                            )
+                            conversation_id = chunk["conversation_id"]
+
+                        # 如果是流式响应，发送增量数据
+                        if self.streaming and chunk["answer"]:
+                            yield AgentResponse(
+                                type="streaming_delta",
+                                data=AgentResponseData(
+                                    chain=MessageChain().message(chunk["answer"])
+                                ),
+                            )
+                    elif chunk["event"] == "message_end":
+                        logger.debug("Dify message end")
+                        break
+                    elif chunk["event"] == "error":
+                        logger.error(f"Dify 出现错误：{chunk}")
+                        raise Exception(
+                            f"Dify 出现错误 status: {chunk['status']} message: {chunk['message']}"
+                        )
+
+            case "workflow":
+                async for chunk in self.api_client.workflow_run(
+                    inputs={
+                        self.dify_query_input_key: prompt,
+                        "astrbot_session_id": session_id,
+                        **payload_vars,
+                    },
+                    user=session_id,
+                    files=files_payload,
+                    timeout=self.timeout,
+                ):
+                    logger.debug(f"dify workflow resp chunk: {chunk}")
+                    match chunk["event"]:
+                        case "workflow_started":
+                            logger.info(
+                                f"Dify 工作流(ID: {chunk['workflow_run_id']})开始运行。"
+                            )
+                        case "node_finished":
+                            logger.debug(
+                                f"Dify 工作流节点(ID: {chunk['data']['node_id']} Title: {chunk['data'].get('title', '')})运行结束。"
+                            )
+                        case "text_chunk":
+                            if self.streaming and chunk["data"]["text"]:
+                                yield AgentResponse(
+                                    type="streaming_delta",
+                                    data=AgentResponseData(
+                                        chain=MessageChain().message(
+                                            chunk["data"]["text"]
+                                        )
+                                    ),
+                                )
+                        case "workflow_finished":
+                            logger.info(
+                                f"Dify 工作流(ID: {chunk['workflow_run_id']})运行结束"
+                            )
+                            logger.debug(f"Dify 工作流结果：{chunk}")
+                            if chunk["data"]["error"]:
+                                logger.error(
+                                    f"Dify 工作流出现错误：{chunk['data']['error']}"
+                                )
+                                raise Exception(
+                                    f"Dify 工作流出现错误：{chunk['data']['error']}"
+                                )
+                            if self.workflow_output_key not in chunk["data"]["outputs"]:
+                                raise Exception(
+                                    f"Dify 工作流的输出不包含指定的键名：{self.workflow_output_key}"
+                                )
+                            result = chunk
+            case _:
+                raise Exception(f"未知的 Dify API 类型：{self.api_type}")
+
+        if not result:
+            logger.warning("Dify 请求结果为空，请查看 Debug 日志。")
+
+        # 解析结果
+        chain = await self.parse_dify_result(result)
+
+        # 创建最终响应
+        self.final_llm_resp = LLMResponse(role="assistant", result_chain=chain)
+        self._transition_state(AgentState.DONE)
+
+        try:
+            await self.agent_hooks.on_agent_done(self.run_context, self.final_llm_resp)
+        except Exception as e:
+            logger.error(f"Error in on_agent_done hook: {e}", exc_info=True)
+
+        # 返回最终结果
+        yield AgentResponse(
+            type="llm_result",
+            data=AgentResponseData(chain=chain),
+        )
+
+    async def parse_dify_result(self, chunk: dict | str) -> MessageChain:
+        """解析 Dify 的响应结果"""
+        if isinstance(chunk, str):
+            # Chat
+            return MessageChain(chain=[Comp.Plain(chunk)])
+
+        async def parse_file(item: dict):
+            match item["type"]:
+                case "image":
+                    return Comp.Image(file=item["url"], url=item["url"])
+                case "audio":
+                    # 仅支持 wav
+                    temp_dir = os.path.join(get_astrbot_data_path(), "temp")
+                    path = os.path.join(temp_dir, f"{item['filename']}.wav")
+                    await download_file(item["url"], path)
+                    return Comp.Image(file=item["url"], url=item["url"])
+                case "video":
+                    return Comp.Video(file=item["url"])
+                case _:
+                    return Comp.File(name=item["filename"], file=item["url"])
+
+        output = chunk["data"]["outputs"][self.workflow_output_key]
+        chains = []
+        if isinstance(output, str):
+            # 纯文本输出
+            chains.append(Comp.Plain(output))
+        elif isinstance(output, list):
+            # 主要适配 Dify 的 HTTP 请求结点的多模态输出
+            for item in output:
+                # handle Array[File]
+                if (
+                    not isinstance(item, dict)
+                    or item.get("dify_model_identity", "") != "__dify__file__"
+                ):
+                    chains.append(Comp.Plain(str(output)))
+                    break
+        else:
+            chains.append(Comp.Plain(str(output)))
+
+        # scan file
+        files = chunk["data"].get("files", [])
+        for item in files:
+            comp = await parse_file(item)
+            chains.append(comp)
+
+        return MessageChain(chain=chains)
+
+    @override
+    def done(self) -> bool:
+        """检查 Agent 是否已完成工作"""
+        return self._state in (AgentState.DONE, AgentState.ERROR)
+
+    @override
+    def get_final_llm_resp(self) -> LLMResponse | None:
+        return self.final_llm_resp

astrbot/core/agent/runners/dify/dify_api_client.py

@@ -3,7 +3,7 @@ import json
 from collections.abc import AsyncGenerator
 from typing import Any
 
-from aiohttp import ClientResponse, ClientSession
+from aiohttp import ClientResponse, ClientSession, FormData
 
 from astrbot.core import logger
 
@@ -101,21 +101,59 @@ class DifyAPIClient:
 
     async def file_upload(
         self,
-        file_path: str,
         user: str,
+        file_path: str | None = None,
+        file_data: bytes | None = None,
+        file_name: str | None = None,
+        mime_type: str | None = None,
     ) -> dict[str, Any]:
+        """Upload a file to Dify. Must provide either file_path or file_data.
+
+        Args:
+            user: The user ID.
+            file_path: The path to the file to upload.
+            file_data: The file data in bytes.
+            file_name: Optional file name when using file_data.
+        Returns:
+            A dictionary containing the uploaded file information.
+        """
         url = f"{self.api_base}/files/upload"
-        with open(file_path, "rb") as f:
-            payload = {
-                "user": user,
-                "file": f,
-            }
-            async with self.session.post(
-                url,
-                data=payload,
-                headers=self.headers,
-            ) as resp:
-                return await resp.json()  # {"id": "xxx", ...}
+
+        form = FormData()
+        form.add_field("user", user)
+
+        if file_data is not None:
+            # 使用 bytes 数据
+            form.add_field(
+                "file",
+                file_data,
+                filename=file_name or "uploaded_file",
+                content_type=mime_type or "application/octet-stream",
+            )
+        elif file_path is not None:
+            # 使用文件路径
+            import os
+
+            with open(file_path, "rb") as f:
+                file_content = f.read()
+                form.add_field(
+                    "file",
+                    file_content,
+                    filename=os.path.basename(file_path),
+                    content_type=mime_type or "application/octet-stream",
+                )
+        else:
+            raise ValueError("file_path 和 file_data 不能同时为 None")
+
+        async with self.session.post(
+            url,
+            data=form,
+            headers=self.headers,  # 不包含 Content-Type，让 aiohttp 自动设置
+        ) as resp:
+            if resp.status != 200 and resp.status != 201:
+                text = await resp.text()
+                raise Exception(f"Dify 文件上传失败：{resp.status}. {text}")
+            return await resp.json()  # {"id": "xxx", ...}
 
     async def close(self):
         await self.session.close()

astrbot/core/agent/runners/tool_loop_agent_runner.py

@@ -69,12 +69,6 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             )
         self.run_context.messages = messages
 
-    def _transition_state(self, new_state: AgentState) -> None:
-        """转换 Agent 状态"""
-        if self._state != new_state:
-            logger.debug(f"Agent state transition: {self._state} -> {new_state}")
-            self._state = new_state
-
     async def _iter_llm_responses(self) -> T.AsyncGenerator[LLMResponse, None]:
         """Yields chunks *and* a final LLMResponse."""
         if self.streaming:

astrbot/core/astr_agent_run_util.py

@@ -9,6 +9,7 @@ from astrbot.core.message.message_event_result import (
     MessageEventResult,
     ResultContentType,
 )
+from astrbot.core.provider.entities import LLMResponse
 
 AgentRunner = ToolLoopAgentRunner[AstrAgentContext]
 
@@ -72,7 +73,20 @@ async def run_agent(
 
         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: {e!s}\n\n请在控制台查看和分享错误详情。\n"
+
+            err_msg = f"\n\nAstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {e!s}\n\n请在平台日志查看和分享错误详情。\n"
+
+            error_llm_response = LLMResponse(
+                role="err",
+                completion_text=err_msg,
+            )
+            try:
+                await agent_runner.agent_hooks.on_agent_done(
+                    agent_runner.run_context, error_llm_response
+                )
+            except Exception:
+                logger.exception("Error in on_agent_done hook")
+
             if agent_runner.streaming:
                 yield MessageChain().message(err_msg)
             else:

astrbot/core/config/default.py

@@ -4,9 +4,17 @@ import os
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "4.5.8"
+VERSION = "4.8.0"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
 
+WEBHOOK_SUPPORTED_PLATFORMS = [
+    "qq_official_webhook",
+    "weixin_official_account",
+    "wecom",
+    "wecom_ai_bot",
+    "slack",
+]
+
 # 默认配置
 DEFAULT_CONFIG = {
     "config_version": 2,
@@ -68,9 +76,19 @@ DEFAULT_CONFIG = {
         "dequeue_context_length": 1,
         "streaming_response": False,
         "show_tool_use_status": False,
+        "agent_runner_type": "local",
+        "dify_agent_runner_provider_id": "",
+        "coze_agent_runner_provider_id": "",
+        "dashscope_agent_runner_provider_id": "",
         "unsupported_streaming_strategy": "realtime_segmenting",
+        "reachability_check": False,
         "max_agent_step": 30,
         "tool_call_timeout": 60,
+        "file_extract": {
+            "enable": False,
+            "provider": "moonshotai",
+            "moonshotai_api_key": "",
+        },
     },
     "provider_stt_settings": {
         "enable": False,
@@ -86,6 +104,7 @@ DEFAULT_CONFIG = {
         "group_icl_enable": False,
         "group_message_max_cnt": 300,
         "image_caption": False,
+        "image_caption_provider_id": "",
         "active_reply": {
             "enable": False,
             "method": "possibility_reply",
@@ -137,10 +156,20 @@ DEFAULT_CONFIG = {
     "kb_names": [],  # 默认知识库名称列表
     "kb_fusion_top_k": 20,  # 知识库检索融合阶段返回结果数量
     "kb_final_top_k": 5,  # 知识库检索最终返回结果数量
+    "kb_agentic_mode": False,
 }
 
 
-# 配置项的中文描述、值类型
+"""
+AstrBot v3 时代的配置元数据，目前仅承担以下功能：
+
+1. 保存配置时，配置项的类型验证
+2. WebUI 展示提供商和平台适配器模版
+
+WebUI 的配置文件在 `CONFIG_METADATA_3` 中。
+
+未来将会逐步淘汰此配置元数据。
+"""
 CONFIG_METADATA_2 = {
     "platform_group": {
         "metadata": {
@@ -164,6 +193,8 @@ CONFIG_METADATA_2 = {
                         "appid": "",
                         "secret": "",
                         "is_sandbox": False,
+                        "unified_webhook_mode": True,
+                        "webhook_uuid": "",
                         "callback_server_host": "0.0.0.0",
                         "port": 6196,
                     },
@@ -194,6 +225,8 @@ CONFIG_METADATA_2 = {
                         "token": "",
                         "encoding_aes_key": "",
                         "api_base_url": "https://api.weixin.qq.com/cgi-bin/",
+                        "unified_webhook_mode": True,
+                        "webhook_uuid": "",
                         "callback_server_host": "0.0.0.0",
                         "port": 6194,
                         "active_send_mode": False,
@@ -208,6 +241,8 @@ CONFIG_METADATA_2 = {
                         "encoding_aes_key": "",
                         "kf_name": "",
                         "api_base_url": "https://qyapi.weixin.qq.com/cgi-bin/",
+                        "unified_webhook_mode": True,
+                        "webhook_uuid": "",
                         "callback_server_host": "0.0.0.0",
                         "port": 6195,
                     },
@@ -220,6 +255,8 @@ CONFIG_METADATA_2 = {
                         "wecom_ai_bot_name": "",
                         "token": "",
                         "encoding_aes_key": "",
+                        "unified_webhook_mode": True,
+                        "webhook_uuid": "",
                         "callback_server_host": "0.0.0.0",
                         "port": 6198,
                     },
@@ -287,6 +324,8 @@ CONFIG_METADATA_2 = {
                         "app_token": "",
                         "signing_secret": "",
                         "slack_connection_mode": "socket",  # webhook, socket
+                        "unified_webhook_mode": True,
+                        "webhook_uuid": "",
                         "slack_webhook_host": "0.0.0.0",
                         "slack_webhook_port": 6197,
                         "slack_webhook_path": "/astrbot-slack-webhook/callback",
@@ -366,16 +405,28 @@ CONFIG_METADATA_2 = {
                         "description": "Slack Webhook Host",
                         "type": "string",
                         "hint": "Only valid when Slack connection mode is `webhook`.",
+                        "condition": {
+                            "slack_connection_mode": "webhook",
+                            "unified_webhook_mode": False,
+                        },
                     },
                     "slack_webhook_port": {
                         "description": "Slack Webhook Port",
                         "type": "int",
                         "hint": "Only valid when Slack connection mode is `webhook`.",
+                        "condition": {
+                            "slack_connection_mode": "webhook",
+                            "unified_webhook_mode": False,
+                        },
                     },
                     "slack_webhook_path": {
                         "description": "Slack Webhook Path",
                         "type": "string",
                         "hint": "Only valid when Slack connection mode is `webhook`.",
+                        "condition": {
+                            "slack_connection_mode": "webhook",
+                            "unified_webhook_mode": False,
+                        },
                     },
                     "active_send_mode": {
                         "description": "是否换用主动发送接口",
@@ -566,6 +617,33 @@ CONFIG_METADATA_2 = {
                         "type": "string",
                         "hint": "可选的 Discord 活动名称。留空则不设置活动。",
                     },
+                    "port": {
+                        "description": "回调服务器端口",
+                        "type": "int",
+                        "hint": "回调服务器端口。留空则不启用回调服务器。",
+                        "condition": {
+                            "unified_webhook_mode": False,
+                        },
+                    },
+                    "callback_server_host": {
+                        "description": "回调服务器主机",
+                        "type": "string",
+                        "hint": "回调服务器主机。留空则不启用回调服务器。",
+                        "condition": {
+                            "unified_webhook_mode": False,
+                        },
+                    },
+                    "unified_webhook_mode": {
+                        "description": "统一 Webhook 模式",
+                        "type": "bool",
+                        "hint": "启用后，将使用 AstrBot 统一 Webhook 入口，无需单独开启端口。回调地址为 /api/platform/webhook/{webhook_uuid}。",
+                    },
+                    "webhook_uuid": {
+                        "invisible": True,
+                        "description": "Webhook UUID",
+                        "type": "string",
+                        "hint": "统一 Webhook 模式下的唯一标识符，创建平台时自动生成。",
+                    },
                 },
             },
             "platform_settings": {
@@ -633,7 +711,7 @@ CONFIG_METADATA_2 = {
                             },
                             "words_count_threshold": {
                                 "type": "int",
-                                "hint": "超过这个字数的消息不会被分段回复。默认为 150",
+                                "hint": "分段回复的字数上限。只有字数小于此值的消息才会被分段，超过此值的长消息将直接发送（不分段）。默认为 150",
                             },
                             "regex": {
                                 "type": "string",
@@ -1010,7 +1088,7 @@ CONFIG_METADATA_2 = {
                         "id": "dify_app_default",
                         "provider": "dify",
                         "type": "dify",
-                        "provider_type": "chat_completion",
+                        "provider_type": "agent_runner",
                         "enable": True,
                         "dify_api_type": "chat",
                         "dify_api_key": "",
@@ -1024,20 +1102,20 @@ CONFIG_METADATA_2 = {
                     "Coze": {
                         "id": "coze",
                         "provider": "coze",
-                        "provider_type": "chat_completion",
+                        "provider_type": "agent_runner",
                         "type": "coze",
                         "enable": True,
                         "coze_api_key": "",
                         "bot_id": "",
                         "coze_api_base": "https://api.coze.cn",
                         "timeout": 60,
-                        "auto_save_history": True,
+                        # "auto_save_history": True,
                     },
                     "阿里云百炼应用": {
                         "id": "dashscope",
                         "provider": "dashscope",
                         "type": "dashscope",
-                        "provider_type": "chat_completion",
+                        "provider_type": "agent_runner",
                         "enable": True,
                         "dashscope_app_type": "agent",
                         "dashscope_api_key": "",
@@ -1086,7 +1164,7 @@ CONFIG_METADATA_2 = {
                         "api_base": "",
                         "model": "whisper-1",
                     },
-                    "Whisper(本地加载)": {
+                    "Whisper(Local)": {
                         "hint": "启用前请 pip 安装 openai-whisper 库（N卡用户大约下载 2GB，主要是 torch 和 cuda，CPU 用户大约下载 1 GB），并且安装 ffmpeg。否则将无法正常转文字。",
                         "provider": "openai",
                         "type": "openai_whisper_selfhost",
@@ -1095,7 +1173,7 @@ CONFIG_METADATA_2 = {
                         "id": "whisper_selfhost",
                         "model": "tiny",
                     },
-                    "SenseVoice(本地加载)": {
+                    "SenseVoice(Local)": {
                         "hint": "启用前请 pip 安装 funasr、funasr_onnx、torchaudio、torch、modelscope、jieba 库（默认使用CPU，大约下载 1 GB），并且安装 ffmpeg。否则将无法正常转文字。",
                         "type": "sensevoice_stt_selfhost",
                         "provider": "sensevoice",
@@ -1130,7 +1208,7 @@ CONFIG_METADATA_2 = {
                         "pitch": "+0Hz",
                         "timeout": 20,
                     },
-                    "GSV TTS(本地加载)": {
+                    "GSV TTS(Local)": {
                         "id": "gsv_tts",
                         "enable": False,
                         "provider": "gpt_sovits",
@@ -1307,6 +1385,19 @@ CONFIG_METADATA_2 = {
                         "timeout": 20,
                         "launch_model_if_not_running": False,
                     },
+                    "阿里云百炼重排序": {
+                        "id": "bailian_rerank",
+                        "type": "bailian_rerank",
+                        "provider": "bailian",
+                        "provider_type": "rerank",
+                        "enable": True,
+                        "rerank_api_key": "",
+                        "rerank_api_base": "https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank",
+                        "rerank_model": "qwen3-rerank",
+                        "timeout": 30,
+                        "return_documents": False,
+                        "instruct": "",
+                    },
                     "Xinference STT": {
                         "id": "xinference_stt",
                         "type": "xinference_stt",
@@ -1341,6 +1432,16 @@ CONFIG_METADATA_2 = {
                         "description": "重排序模型名称",
                         "type": "string",
                     },
+                    "return_documents": {
+                        "description": "是否在排序结果中返回文档原文",
+                        "type": "bool",
+                        "hint": "默认值false，以减少网络传输开销。",
+                    },
+                    "instruct": {
+                        "description": "自定义排序任务类型说明",
+                        "type": "string",
+                        "hint": "仅在使用 qwen3-rerank 模型时生效。建议使用英文撰写。",
+                    },
                     "launch_model_if_not_running": {
                         "description": "模型未运行时自动启动",
                         "type": "bool",
@@ -1883,7 +1984,6 @@ CONFIG_METADATA_2 = {
                     "enable": {
                         "description": "启用",
                         "type": "bool",
-                        "hint": "是否启用。",
                     },
                     "key": {
                         "description": "API Key",
@@ -2013,14 +2113,38 @@ CONFIG_METADATA_2 = {
                     "unsupported_streaming_strategy": {
                         "type": "string",
                     },
+                    "agent_runner_type": {
+                        "type": "string",
+                    },
+                    "dify_agent_runner_provider_id": {
+                        "type": "string",
+                    },
+                    "coze_agent_runner_provider_id": {
+                        "type": "string",
+                    },
+                    "dashscope_agent_runner_provider_id": {
+                        "type": "string",
+                    },
                     "max_agent_step": {
-                        "description": "工具调用轮数上限",
                         "type": "int",
                     },
                     "tool_call_timeout": {
-                        "description": "工具调用超时时间（秒）",
                         "type": "int",
                     },
+                    "file_extract": {
+                        "type": "object",
+                        "items": {
+                            "enable": {
+                                "type": "bool",
+                            },
+                            "provider": {
+                                "type": "string",
+                            },
+                            "moonshotai_api_key": {
+                                "type": "string",
+                            },
+                        },
+                    },
                 },
             },
             "provider_stt_settings": {
@@ -2063,6 +2187,9 @@ CONFIG_METADATA_2 = {
                     "image_caption": {
                         "type": "bool",
                     },
+                    "image_caption_provider_id": {
+                        "type": "string",
+                    },
                     "image_caption_prompt": {
                         "type": "string",
                     },
@@ -2146,39 +2273,93 @@ CONFIG_METADATA_2 = {
             "kb_names": {"type": "list", "items": {"type": "string"}},
             "kb_fusion_top_k": {"type": "int", "default": 20},
             "kb_final_top_k": {"type": "int", "default": 5},
+            "kb_agentic_mode": {"type": "bool"},
         },
     },
 }
 
 
+"""
+v4.7.0 之后，name, description, hint 等字段已经实现 i18n 国际化。国际化资源文件位于：
+
+- dashboard/src/i18n/locales/en-US/features/config-metadata.json
+- dashboard/src/i18n/locales/zh-CN/features/config-metadata.json
+
+如果在此文件中添加了新的配置字段，请务必同步更新上述两个国际化资源文件。
+"""
 CONFIG_METADATA_3 = {
     "ai_group": {
         "name": "AI 配置",
         "metadata": {
-            "ai": {
-                "description": "模型",
+            "agent_runner": {
+                "description": "Agent 执行方式",
+                "hint": "选择 AI 对话的执行器，默认为 AstrBot 内置 Agent 执行器，可使用 AstrBot 内的知识库、人格、工具调用功能。如果不打算接入 Dify 或 Coze 等第三方 Agent 执行器，不需要修改此节。",
                 "type": "object",
                 "items": {
                     "provider_settings.enable": {
-                        "description": "启用大语言模型聊天",
+                        "description": "启用",
                         "type": "bool",
+                        "hint": "AI 对话总开关",
                     },
+                    "provider_settings.agent_runner_type": {
+                        "description": "执行器",
+                        "type": "string",
+                        "options": ["local", "dify", "coze", "dashscope"],
+                        "labels": ["内置 Agent", "Dify", "Coze", "阿里云百炼应用"],
+                        "condition": {
+                            "provider_settings.enable": True,
+                        },
+                    },
+                    "provider_settings.coze_agent_runner_provider_id": {
+                        "description": "Coze Agent 执行器提供商 ID",
+                        "type": "string",
+                        "_special": "select_agent_runner_provider:coze",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "coze",
+                            "provider_settings.enable": True,
+                        },
+                    },
+                    "provider_settings.dify_agent_runner_provider_id": {
+                        "description": "Dify Agent 执行器提供商 ID",
+                        "type": "string",
+                        "_special": "select_agent_runner_provider:dify",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "dify",
+                            "provider_settings.enable": True,
+                        },
+                    },
+                    "provider_settings.dashscope_agent_runner_provider_id": {
+                        "description": "阿里云百炼应用 Agent 执行器提供商 ID",
+                        "type": "string",
+                        "_special": "select_agent_runner_provider:dashscope",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "dashscope",
+                            "provider_settings.enable": True,
+                        },
+                    },
+                },
+            },
+            "ai": {
+                "description": "模型",
+                "hint": "当使用非内置 Agent 执行器时，默认聊天模型和默认图片转述模型可能会无效，但某些插件会依赖此配置项来调用 AI 能力。",
+                "type": "object",
+                "items": {
                     "provider_settings.default_provider_id": {
                         "description": "默认聊天模型",
                         "type": "string",
                         "_special": "select_provider",
-                        "hint": "留空时使用第一个模型。",
+                        "hint": "留空时使用第一个模型",
                     },
                     "provider_settings.default_image_caption_provider_id": {
                         "description": "默认图片转述模型",
                         "type": "string",
                         "_special": "select_provider",
-                        "hint": "留空代表不使用。可用于不支持视觉模态的聊天模型。",
+                        "hint": "留空代表不使用，可用于非多模态模型",
                     },
                     "provider_stt_settings.enable": {
                         "description": "启用语音转文本",
                         "type": "bool",
-                        "hint": "STT 总开关。",
+                        "hint": "STT 总开关",
                     },
                     "provider_stt_settings.provider_id": {
                         "description": "默认语音转文本模型",
@@ -2192,12 +2373,11 @@ CONFIG_METADATA_3 = {
                     "provider_tts_settings.enable": {
                         "description": "启用文本转语音",
                         "type": "bool",
-                        "hint": "TTS 总开关。当关闭时，会话启用 TTS 也不会生效。",
+                        "hint": "TTS 总开关",
                     },
                     "provider_tts_settings.provider_id": {
                         "description": "默认文本转语音模型",
                         "type": "string",
-                        "hint": "用户也可使用 /provider 单独选择会话的 TTS 模型。",
                         "_special": "select_provider_tts",
                         "condition": {
                             "provider_tts_settings.enable": True,
@@ -2208,6 +2388,9 @@ CONFIG_METADATA_3 = {
                         "type": "text",
                     },
                 },
+                "condition": {
+                    "provider_settings.enable": True,
+                },
             },
             "persona": {
                 "description": "人格",
@@ -2219,6 +2402,10 @@ CONFIG_METADATA_3 = {
                         "_special": "select_persona",
                     },
                 },
+                "condition": {
+                    "provider_settings.agent_runner_type": "local",
+                    "provider_settings.enable": True,
+                },
             },
             "knowledgebase": {
                 "description": "知识库",
@@ -2241,6 +2428,15 @@ CONFIG_METADATA_3 = {
                         "type": "int",
                         "hint": "从知识库中检索到的结果数量，越大可能获得越多相关信息，但也可能引入噪音。建议根据实际需求调整",
                     },
+                    "kb_agentic_mode": {
+                        "description": "Agentic 知识库检索",
+                        "type": "bool",
+                        "hint": "启用后，知识库检索将作为 LLM Tool，由模型自主决定何时调用知识库进行查询。需要模型支持函数调用能力。",
+                    },
+                },
+                "condition": {
+                    "provider_settings.agent_runner_type": "local",
+                    "provider_settings.enable": True,
                 },
             },
             "websearch": {
@@ -2278,7 +2474,41 @@ CONFIG_METADATA_3 = {
                         "type": "bool",
                     },
                 },
+                "condition": {
+                    "provider_settings.agent_runner_type": "local",
+                    "provider_settings.enable": True,
+                },
             },
+            # "file_extract": {
+            #     "description": "文档解析能力 [beta]",
+            #     "type": "object",
+            #     "items": {
+            #         "provider_settings.file_extract.enable": {
+            #             "description": "启用文档解析能力",
+            #             "type": "bool",
+            #         },
+            #         "provider_settings.file_extract.provider": {
+            #             "description": "文档解析提供商",
+            #             "type": "string",
+            #             "options": ["moonshotai"],
+            #             "condition": {
+            #                 "provider_settings.file_extract.enable": True,
+            #             },
+            #         },
+            #         "provider_settings.file_extract.moonshotai_api_key": {
+            #             "description": "Moonshot AI API Key",
+            #             "type": "string",
+            #             "condition": {
+            #                 "provider_settings.file_extract.provider": "moonshotai",
+            #                 "provider_settings.file_extract.enable": True,
+            #             },
+            #         },
+            #     },
+            #     "condition": {
+            #         "provider_settings.agent_runner_type": "local",
+            #         "provider_settings.enable": True,
+            #     },
+            # },
             "others": {
                 "description": "其他配置",
                 "type": "object",
@@ -2286,34 +2516,51 @@ CONFIG_METADATA_3 = {
                     "provider_settings.display_reasoning_text": {
                         "description": "显示思考内容",
                         "type": "bool",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "local",
+                        },
                     },
                     "provider_settings.identifier": {
                         "description": "用户识别",
                         "type": "bool",
+                        "hint": "启用后，会在提示词前包含用户 ID 信息。",
                     },
                     "provider_settings.group_name_display": {
                         "description": "显示群名称",
                         "type": "bool",
-                        "hint": "启用后，在支持的平台(aiocqhttp)上会在 prompt 中包含群名称信息。",
+                        "hint": "启用后，在支持的平台(OneBot v11)上会在提示词前包含群名称信息。",
                     },
                     "provider_settings.datetime_system_prompt": {
                         "description": "现实世界时间感知",
                         "type": "bool",
+                        "hint": "启用后，会在系统提示词中附带当前时间信息。",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "local",
+                        },
                     },
                     "provider_settings.show_tool_use_status": {
                         "description": "输出函数调用状态",
                         "type": "bool",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "local",
+                        },
                     },
                     "provider_settings.max_agent_step": {
                         "description": "工具调用轮数上限",
                         "type": "int",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "local",
+                        },
                     },
                     "provider_settings.tool_call_timeout": {
                         "description": "工具调用超时时间（秒）",
                         "type": "int",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "local",
+                        },
                     },
                     "provider_settings.streaming_response": {
-                        "description": "流式回复",
+                        "description": "流式输出",
                         "type": "bool",
                     },
                     "provider_settings.unsupported_streaming_strategy": {
@@ -2329,17 +2576,23 @@ CONFIG_METADATA_3 = {
                     "provider_settings.max_context_length": {
                         "description": "最多携带对话轮数",
                         "type": "int",
-                        "hint": "超出这个数量时丢弃最旧的部分，一轮聊天记为 1 条。-1 为不限制。",
+                        "hint": "超出这个数量时丢弃最旧的部分，一轮聊天记为 1 条，-1 为不限制",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "local",
+                        },
                     },
                     "provider_settings.dequeue_context_length": {
                         "description": "丢弃对话轮数",
                         "type": "int",
-                        "hint": "超出最多携带对话轮数时, 一次丢弃的聊天轮数。",
+                        "hint": "超出最多携带对话轮数时, 一次丢弃的聊天轮数",
+                        "condition": {
+                            "provider_settings.agent_runner_type": "local",
+                        },
                     },
                     "provider_settings.wake_prefix": {
                         "description": "LLM 聊天额外唤醒前缀 ",
                         "type": "string",
-                        "hint": "如果唤醒前缀为 `/`, 额外聊天唤醒前缀为 `chat`，则需要 `/chat` 才会触发 LLM 请求。默认为空。",
+                        "hint": "如果唤醒前缀为 /, 额外聊天唤醒前缀为 chat，则需要 /chat 才会触发 LLM 请求",
                     },
                     "provider_settings.prompt_prefix": {
                         "description": "用户提示词",
@@ -2350,6 +2603,14 @@ CONFIG_METADATA_3 = {
                         "description": "开启 TTS 时同时输出语音和文字内容",
                         "type": "bool",
                     },
+                    "provider_settings.reachability_check": {
+                        "description": "提供商可达性检测",
+                        "type": "bool",
+                        "hint": "/provider 命令列出模型时是否并发检测连通性。开启后会主动调用模型测试连通性，可能产生额外 token 消耗。",
+                    },
+                },
+                "condition": {
+                    "provider_settings.enable": True,
                 },
             },
         },
@@ -2640,7 +2901,16 @@ CONFIG_METADATA_3 = {
                     "provider_ltm_settings.image_caption": {
                         "description": "自动理解图片",
                         "type": "bool",
-                        "hint": "需要设置默认图片转述模型。",
+                        "hint": "需要设置群聊图片转述模型。",
+                    },
+                    "provider_ltm_settings.image_caption_provider_id": {
+                        "description": "群聊图片转述模型",
+                        "type": "string",
+                        "_special": "select_provider",
+                        "hint": "用于群聊上下文感知的图片理解，与默认图片转述模型分开配置。",
+                        "condition": {
+                            "provider_ltm_settings.image_caption": True,
+                        },
                     },
                     "provider_ltm_settings.active_reply.enable": {
                         "description": "主动回复",

astrbot/core/config/i18n_utils.py

@@ -0,0 +1,110 @@
+"""
+配置元数据国际化工具
+
+提供配置元数据的国际化键转换功能
+"""
+
+from typing import Any
+
+
+class ConfigMetadataI18n:
+    """配置元数据国际化转换器"""
+
+    @staticmethod
+    def _get_i18n_key(group: str, section: str, field: str, attr: str) -> str:
+        """
+        生成国际化键
+
+        Args:
+            group: 配置组，如 'ai_group', 'platform_group'
+            section: 配置节，如 'agent_runner', 'general'
+            field: 字段名，如 'enable', 'default_provider'
+            attr: 属性类型，如 'description', 'hint', 'labels'
+
+        Returns:
+            国际化键，格式如: 'ai_group.agent_runner.enable.description'
+        """
+        if field:
+            return f"{group}.{section}.{field}.{attr}"
+        else:
+            return f"{group}.{section}.{attr}"
+
+    @staticmethod
+    def convert_to_i18n_keys(metadata: dict[str, Any]) -> dict[str, Any]:
+        """
+        将配置元数据转换为使用国际化键
+
+        Args:
+            metadata: 原始配置元数据字典
+
+        Returns:
+            使用国际化键的配置元数据字典
+        """
+        result = {}
+
+        for group_key, group_data in metadata.items():
+            group_result = {
+                "name": f"{group_key}.name",
+                "metadata": {},
+            }
+
+            for section_key, section_data in group_data.get("metadata", {}).items():
+                section_result = {
+                    "description": f"{group_key}.{section_key}.description",
+                    "type": section_data.get("type"),
+                }
+
+                # 复制其他属性
+                for key in ["items", "condition", "_special", "invisible"]:
+                    if key in section_data:
+                        section_result[key] = section_data[key]
+
+                # 处理 hint
+                if "hint" in section_data:
+                    section_result["hint"] = f"{group_key}.{section_key}.hint"
+
+                # 处理 items 中的字段
+                if "items" in section_data and isinstance(section_data["items"], dict):
+                    items_result = {}
+                    for field_key, field_data in section_data["items"].items():
+                        # 处理嵌套的点号字段名（如 provider_settings.enable）
+                        field_name = field_key
+
+                        field_result = {}
+
+                        # 复制基本属性
+                        for attr in [
+                            "type",
+                            "condition",
+                            "_special",
+                            "invisible",
+                            "options",
+                        ]:
+                            if attr in field_data:
+                                field_result[attr] = field_data[attr]
+
+                        # 转换文本属性为国际化键
+                        if "description" in field_data:
+                            field_result["description"] = (
+                                f"{group_key}.{section_key}.{field_name}.description"
+                            )
+
+                        if "hint" in field_data:
+                            field_result["hint"] = (
+                                f"{group_key}.{section_key}.{field_name}.hint"
+                            )
+
+                        if "labels" in field_data:
+                            field_result["labels"] = (
+                                f"{group_key}.{section_key}.{field_name}.labels"
+                            )
+
+                        items_result[field_key] = field_result
+
+                    section_result["items"] = items_result
+
+                group_result["metadata"][section_key] = section_result
+
+            result[group_key] = group_result
+
+        return result

astrbot/core/core_lifecycle.py

@@ -16,12 +16,12 @@ import time
 import traceback
 from asyncio import Queue
 
-from astrbot.core import LogBroker, logger, sp
+from astrbot.api import logger, sp
+from astrbot.core import LogBroker
 from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 from astrbot.core.config.default import VERSION
 from astrbot.core.conversation_mgr import ConversationManager
 from astrbot.core.db import BaseDatabase
-from astrbot.core.db.migration.migra_45_to_46 import migrate_45_to_46
 from astrbot.core.knowledge_base.kb_mgr import KnowledgeBaseManager
 from astrbot.core.persona_mgr import PersonaManager
 from astrbot.core.pipeline.scheduler import PipelineContext, PipelineScheduler
@@ -33,6 +33,7 @@ from astrbot.core.star.context import Context
 from astrbot.core.star.star_handler import EventType, star_handlers_registry, star_map
 from astrbot.core.umop_config_router import UmopConfigRouter
 from astrbot.core.updator import AstrBotUpdator
+from astrbot.core.utils.migra_helper import migra
 
 from . import astrbot_config, html_renderer
 from .event_bus import EventBus
@@ -96,11 +97,16 @@ class AstrBotCoreLifecycle:
             sp=sp,
         )
 
-        # 4.5 to 4.6 migration for umop_config_router
+        # apply migration
         try:
-            await migrate_45_to_46(self.astrbot_config_mgr, self.umop_config_router)
+            await migra(
+                self.db,
+                self.astrbot_config_mgr,
+                self.umop_config_router,
+                self.astrbot_config_mgr,
+            )
         except Exception as e:
-            logger.error(f"Migration from version 4.5 to 4.6 failed: {e!s}")
+            logger.error(f"AstrBot migration failed: {e!s}")
             logger.error(traceback.format_exc())
 
         # 初始化事件队列

astrbot/core/db/__init__.py

@@ -13,6 +13,7 @@ from astrbot.core.db.po import (
     ConversationV2,
     Persona,
     PlatformMessageHistory,
+    PlatformSession,
     PlatformStat,
     Preference,
     Stats,
@@ -172,7 +173,7 @@ class BaseDatabase(abc.ABC):
         content: dict,
         sender_id: str | None = None,
         sender_name: str | None = None,
-    ) -> None:
+    ) -> PlatformMessageHistory:
         """Insert a new platform message history record."""
         ...
 
@@ -183,7 +184,7 @@ class BaseDatabase(abc.ABC):
         user_id: str,
         offset_sec: int = 86400,
     ) -> None:
-        """Delete platform message history records older than the specified offset."""
+        """Delete platform message history records newer than the specified offset."""
         ...
 
     @abc.abstractmethod
@@ -197,6 +198,14 @@ class BaseDatabase(abc.ABC):
         """Get platform message history for a specific user."""
         ...
 
+    @abc.abstractmethod
+    async def get_platform_message_history_by_id(
+        self,
+        message_id: int,
+    ) -> PlatformMessageHistory | None:
+        """Get a platform message history record by its ID."""
+        ...
+
     @abc.abstractmethod
     async def insert_attachment(
         self,
@@ -212,6 +221,27 @@ class BaseDatabase(abc.ABC):
         """Get an attachment by its ID."""
         ...
 
+    @abc.abstractmethod
+    async def get_attachments(self, attachment_ids: list[str]) -> list[Attachment]:
+        """Get multiple attachments by their IDs."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_attachment(self, attachment_id: str) -> bool:
+        """Delete an attachment by its ID.
+
+        Returns True if the attachment was deleted, False if it was not found.
+        """
+        ...
+
+    @abc.abstractmethod
+    async def delete_attachments(self, attachment_ids: list[str]) -> int:
+        """Delete multiple attachments by their IDs.
+
+        Returns the number of attachments deleted.
+        """
+        ...
+
     @abc.abstractmethod
     async def insert_persona(
         self,
@@ -313,3 +343,51 @@ class BaseDatabase(abc.ABC):
     ) -> tuple[list[dict], int]:
         """Get paginated session conversations with joined conversation and persona details, support search and platform filter."""
         ...
+
+    # ====
+    # Platform Session Management
+    # ====
+
+    @abc.abstractmethod
+    async def create_platform_session(
+        self,
+        creator: str,
+        platform_id: str = "webchat",
+        session_id: str | None = None,
+        display_name: str | None = None,
+        is_group: int = 0,
+    ) -> PlatformSession:
+        """Create a new Platform session."""
+        ...
+
+    @abc.abstractmethod
+    async def get_platform_session_by_id(
+        self, session_id: str
+    ) -> PlatformSession | None:
+        """Get a Platform session by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def get_platform_sessions_by_creator(
+        self,
+        creator: str,
+        platform_id: str | None = None,
+        page: int = 1,
+        page_size: int = 20,
+    ) -> list[PlatformSession]:
+        """Get all Platform sessions for a specific creator (username) and optionally platform."""
+        ...
+
+    @abc.abstractmethod
+    async def update_platform_session(
+        self,
+        session_id: str,
+        display_name: str | None = None,
+    ) -> None:
+        """Update a Platform session's updated_at timestamp and optionally display_name."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_platform_session(self, session_id: str) -> None:
+        """Delete a Platform session by its ID."""
+        ...

astrbot/core/db/migration/migra_webchat_session.py

@@ -0,0 +1,131 @@
+"""Migration script for WebChat sessions.
+
+This migration creates PlatformSession from existing platform_message_history records.
+
+Changes:
+- Creates platform_sessions table
+- Adds platform_id field (default: 'webchat')
+- Adds display_name field
+- Session_id format: {platform_id}_{uuid}
+"""
+
+from sqlalchemy import func, select
+from sqlmodel import col
+
+from astrbot.api import logger, sp
+from astrbot.core.db import BaseDatabase
+from astrbot.core.db.po import ConversationV2, PlatformMessageHistory, PlatformSession
+
+
+async def migrate_webchat_session(db_helper: BaseDatabase):
+    """Create PlatformSession records from platform_message_history.
+
+    This migration extracts all unique user_ids from platform_message_history
+    where platform_id='webchat' and creates corresponding PlatformSession records.
+    """
+    # 检查是否已经完成迁移
+    migration_done = await db_helper.get_preference(
+        "global", "global", "migration_done_webchat_session_1"
+    )
+    if migration_done:
+        return
+
+    logger.info("开始执行数据库迁移（WebChat 会话迁移）...")
+
+    try:
+        async with db_helper.get_db() as session:
+            # 从 platform_message_history 创建 PlatformSession
+            query = (
+                select(
+                    col(PlatformMessageHistory.user_id),
+                    col(PlatformMessageHistory.sender_name),
+                    func.min(PlatformMessageHistory.created_at).label("earliest"),
+                    func.max(PlatformMessageHistory.updated_at).label("latest"),
+                )
+                .where(col(PlatformMessageHistory.platform_id) == "webchat")
+                .where(col(PlatformMessageHistory.sender_id) != "bot")
+                .group_by(col(PlatformMessageHistory.user_id))
+            )
+
+            result = await session.execute(query)
+            webchat_users = result.all()
+
+            if not webchat_users:
+                logger.info("没有找到需要迁移的 WebChat 数据")
+                await sp.put_async(
+                    "global", "global", "migration_done_webchat_session_1", True
+                )
+                return
+
+            logger.info(f"找到 {len(webchat_users)} 个 WebChat 会话需要迁移")
+
+            # 检查已存在的会话
+            existing_query = select(col(PlatformSession.session_id))
+            existing_result = await session.execute(existing_query)
+            existing_session_ids = {row[0] for row in existing_result.fetchall()}
+
+            # 查询 Conversations 表中的 title，用于设置 display_name
+            # 对于每个 user_id，对应的 conversation user_id 格式为: webchat:FriendMessage:webchat!astrbot!{user_id}
+            user_ids_to_query = [
+                f"webchat:FriendMessage:webchat!astrbot!{user_id}"
+                for user_id, _, _, _ in webchat_users
+            ]
+            conv_query = select(
+                col(ConversationV2.user_id), col(ConversationV2.title)
+            ).where(col(ConversationV2.user_id).in_(user_ids_to_query))
+            conv_result = await session.execute(conv_query)
+            # 创建 user_id -> title 的映射字典
+            title_map = {
+                user_id.replace("webchat:FriendMessage:webchat!astrbot!", ""): title
+                for user_id, title in conv_result.fetchall()
+            }
+
+            # 批量创建 PlatformSession 记录
+            sessions_to_add = []
+            skipped_count = 0
+
+            for user_id, sender_name, created_at, updated_at in webchat_users:
+                # user_id 就是 webchat_conv_id (session_id)
+                session_id = user_id
+
+                # sender_name 通常是 username，但可能为 None
+                creator = sender_name if sender_name else "guest"
+
+                # 检查是否已经存在该会话
+                if session_id in existing_session_ids:
+                    logger.debug(f"会话 {session_id} 已存在，跳过")
+                    skipped_count += 1
+                    continue
+
+                # 从 Conversations 表中获取 display_name
+                display_name = title_map.get(user_id)
+
+                # 创建新的 PlatformSession（保留原有的时间戳）
+                new_session = PlatformSession(
+                    session_id=session_id,
+                    platform_id="webchat",
+                    creator=creator,
+                    is_group=0,
+                    created_at=created_at,
+                    updated_at=updated_at,
+                    display_name=display_name,
+                )
+                sessions_to_add.append(new_session)
+
+            # 批量插入
+            if sessions_to_add:
+                session.add_all(sessions_to_add)
+                await session.commit()
+
+                logger.info(
+                    f"WebChat 会话迁移完成！成功迁移: {len(sessions_to_add)}, 跳过: {skipped_count}",
+                )
+            else:
+                logger.info("没有新会话需要迁移")
+
+        # 标记迁移完成
+        await sp.put_async("global", "global", "migration_done_webchat_session_1", True)
+
+    except Exception as e:
+        logger.error(f"迁移过程中发生错误: {e}", exc_info=True)
+        raise

astrbot/core/db/po.py

@@ -3,13 +3,7 @@ from dataclasses import dataclass, field
 from datetime import datetime, timezone
 from typing import TypedDict
 
-from sqlmodel import (
-    JSON,
-    Field,
-    SQLModel,
-    Text,
-    UniqueConstraint,
-)
+from sqlmodel import JSON, Field, SQLModel, Text, UniqueConstraint
 
 
 class PlatformStat(SQLModel, table=True):
@@ -18,7 +12,7 @@ class PlatformStat(SQLModel, table=True):
     Note: In astrbot v4, we moved `platform` table to here.
     """
 
-    __tablename__ = "platform_stats"
+    __tablename__ = "platform_stats"  # type: ignore
 
     id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
     timestamp: datetime = Field(nullable=False)
@@ -37,7 +31,7 @@ class PlatformStat(SQLModel, table=True):
 
 
 class ConversationV2(SQLModel, table=True):
-    __tablename__ = "conversations"
+    __tablename__ = "conversations"  # type: ignore
 
     inner_conversation_id: int = Field(
         primary_key=True,
@@ -74,7 +68,7 @@ class Persona(SQLModel, table=True):
     It can be used to customize the behavior of LLMs.
     """
 
-    __tablename__ = "personas"
+    __tablename__ = "personas"  # type: ignore
 
     id: int | None = Field(
         primary_key=True,
@@ -104,7 +98,7 @@ class Persona(SQLModel, table=True):
 class Preference(SQLModel, table=True):
     """This class represents preferences for bots."""
 
-    __tablename__ = "preferences"
+    __tablename__ = "preferences"  # type: ignore
 
     id: int | None = Field(
         default=None,
@@ -140,7 +134,7 @@ class PlatformMessageHistory(SQLModel, table=True):
     or platform-specific messages.
     """
 
-    __tablename__ = "platform_message_history"
+    __tablename__ = "platform_message_history"  # type: ignore
 
     id: int | None = Field(
         primary_key=True,
@@ -161,13 +155,55 @@ class PlatformMessageHistory(SQLModel, table=True):
     )
 
 
+class PlatformSession(SQLModel, table=True):
+    """Platform session table for managing user sessions across different platforms.
+
+    A session represents a chat window for a specific user on a specific platform.
+    Each session can have multiple conversations (对话) associated with it.
+    """
+
+    __tablename__ = "platform_sessions"  # type: ignore
+
+    inner_id: int | None = Field(
+        primary_key=True,
+        sa_column_kwargs={"autoincrement": True},
+        default=None,
+    )
+    session_id: str = Field(
+        max_length=100,
+        nullable=False,
+        unique=True,
+        default_factory=lambda: str(uuid.uuid4()),
+    )
+    platform_id: str = Field(default="webchat", nullable=False)
+    """Platform identifier (e.g., 'webchat', 'qq', 'discord')"""
+    creator: str = Field(nullable=False)
+    """Username of the session creator"""
+    display_name: str | None = Field(default=None, max_length=255)
+    """Display name for the session"""
+    is_group: int = Field(default=0, nullable=False)
+    """0 for private chat, 1 for group chat (not implemented yet)"""
+    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(
+            "session_id",
+            name="uix_platform_session_id",
+        ),
+    )
+
+
 class Attachment(SQLModel, table=True):
     """This class represents attachments for messages in AstrBot.
 
     Attachments can be images, files, or other media types.
     """
 
-    __tablename__ = "attachments"
+    __tablename__ = "attachments"  # type: ignore
 
     inner_attachment_id: int | None = Field(
         primary_key=True,

astrbot/core/db/sqlite.py

@@ -1,7 +1,7 @@
 import asyncio
 import threading
 import typing as T
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlmodel import col, delete, desc, func, or_, select, text, update
@@ -12,6 +12,7 @@ from astrbot.core.db.po import (
     ConversationV2,
     Persona,
     PlatformMessageHistory,
+    PlatformSession,
     PlatformStat,
     Preference,
     SQLModel,
@@ -104,8 +105,8 @@ class SQLiteDatabase(BaseDatabase):
                 text("""
                 SELECT * FROM platform_stats
                 WHERE timestamp >= :start_time
-                ORDER BY timestamp DESC
                 GROUP BY platform_id
+                ORDER BY timestamp DESC
                 """),
                 {"start_time": start_time},
             )
@@ -412,7 +413,7 @@ class SQLiteDatabase(BaseDatabase):
         user_id,
         offset_sec=86400,
     ):
-        """Delete platform message history records older than the specified offset."""
+        """Delete platform message history records newer than the specified offset."""
         async with self.get_db() as session:
             session: AsyncSession
             async with session.begin():
@@ -422,7 +423,7 @@ class SQLiteDatabase(BaseDatabase):
                     delete(PlatformMessageHistory).where(
                         col(PlatformMessageHistory.platform_id) == platform_id,
                         col(PlatformMessageHistory.user_id) == user_id,
-                        col(PlatformMessageHistory.created_at) < cutoff_time,
+                        col(PlatformMessageHistory.created_at) >= cutoff_time,
                     ),
                 )
 
@@ -448,6 +449,18 @@ class SQLiteDatabase(BaseDatabase):
             result = await session.execute(query.offset(offset).limit(page_size))
             return result.scalars().all()
 
+    async def get_platform_message_history_by_id(
+        self, message_id: int
+    ) -> PlatformMessageHistory | None:
+        """Get a platform message history record by its ID."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(PlatformMessageHistory).where(
+                PlatformMessageHistory.id == message_id
+            )
+            result = await session.execute(query)
+            return result.scalar_one_or_none()
+
     async def insert_attachment(self, path, type, mime_type):
         """Insert a new attachment record."""
         async with self.get_db() as session:
@@ -469,6 +482,48 @@ class SQLiteDatabase(BaseDatabase):
             result = await session.execute(query)
             return result.scalar_one_or_none()
 
+    async def get_attachments(self, attachment_ids: list[str]) -> list:
+        """Get multiple attachments by their IDs."""
+        if not attachment_ids:
+            return []
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(Attachment).where(
+                Attachment.attachment_id.in_(attachment_ids)
+            )
+            result = await session.execute(query)
+            return list(result.scalars().all())
+
+    async def delete_attachment(self, attachment_id: str) -> bool:
+        """Delete an attachment by its ID.
+
+        Returns True if the attachment was deleted, False if it was not found.
+        """
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                query = delete(Attachment).where(
+                    col(Attachment.attachment_id) == attachment_id
+                )
+                result = await session.execute(query)
+                return result.rowcount > 0
+
+    async def delete_attachments(self, attachment_ids: list[str]) -> int:
+        """Delete multiple attachments by their IDs.
+
+        Returns the number of attachments deleted.
+        """
+        if not attachment_ids:
+            return 0
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                query = delete(Attachment).where(
+                    col(Attachment.attachment_id).in_(attachment_ids)
+                )
+                result = await session.execute(query)
+                return result.rowcount
+
     async def insert_persona(
         self,
         persona_id,
@@ -709,3 +764,101 @@ class SQLiteDatabase(BaseDatabase):
         t.start()
         t.join()
         return result
+
+    # ====
+    # Platform Session Management
+    # ====
+
+    async def create_platform_session(
+        self,
+        creator: str,
+        platform_id: str = "webchat",
+        session_id: str | None = None,
+        display_name: str | None = None,
+        is_group: int = 0,
+    ) -> PlatformSession:
+        """Create a new Platform session."""
+        kwargs = {}
+        if session_id:
+            kwargs["session_id"] = session_id
+
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                new_session = PlatformSession(
+                    creator=creator,
+                    platform_id=platform_id,
+                    display_name=display_name,
+                    is_group=is_group,
+                    **kwargs,
+                )
+                session.add(new_session)
+                await session.flush()
+                await session.refresh(new_session)
+                return new_session
+
+    async def get_platform_session_by_id(
+        self, session_id: str
+    ) -> PlatformSession | None:
+        """Get a Platform session by its ID."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(PlatformSession).where(
+                PlatformSession.session_id == session_id,
+            )
+            result = await session.execute(query)
+            return result.scalar_one_or_none()
+
+    async def get_platform_sessions_by_creator(
+        self,
+        creator: str,
+        platform_id: str | None = None,
+        page: int = 1,
+        page_size: int = 20,
+    ) -> list[PlatformSession]:
+        """Get all Platform sessions for a specific creator (username) and optionally platform."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            offset = (page - 1) * page_size
+            query = select(PlatformSession).where(PlatformSession.creator == creator)
+
+            if platform_id:
+                query = query.where(PlatformSession.platform_id == platform_id)
+
+            query = (
+                query.order_by(desc(PlatformSession.updated_at))
+                .offset(offset)
+                .limit(page_size)
+            )
+            result = await session.execute(query)
+            return list(result.scalars().all())
+
+    async def update_platform_session(
+        self,
+        session_id: str,
+        display_name: str | None = None,
+    ) -> None:
+        """Update a Platform session's updated_at timestamp and optionally display_name."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                values: dict[str, T.Any] = {"updated_at": datetime.now(timezone.utc)}
+                if display_name is not None:
+                    values["display_name"] = display_name
+
+                await session.execute(
+                    update(PlatformSession)
+                    .where(col(PlatformSession.session_id) == session_id)
+                    .values(**values),
+                )
+
+    async def delete_platform_session(self, session_id: str) -> None:
+        """Delete a Platform session by its ID."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                await session.execute(
+                    delete(PlatformSession).where(
+                        col(PlatformSession.session_id) == session_id,
+                    ),
+                )

astrbot/core/knowledge_base/kb_helper.py

@@ -1,4 +1,7 @@
+import asyncio
 import json
+import re
+import time
 import uuid
 from pathlib import Path
 
@@ -8,12 +11,98 @@ from astrbot.core import logger
 from astrbot.core.db.vec_db.base import BaseVecDB
 from astrbot.core.db.vec_db.faiss_impl.vec_db import FaissVecDB
 from astrbot.core.provider.manager import ProviderManager
-from astrbot.core.provider.provider import EmbeddingProvider, RerankProvider
+from astrbot.core.provider.provider import (
+    EmbeddingProvider,
+    RerankProvider,
+)
+from astrbot.core.provider.provider import (
+    Provider as LLMProvider,
+)
 
 from .chunking.base import BaseChunker
+from .chunking.recursive import RecursiveCharacterChunker
 from .kb_db_sqlite import KBSQLiteDatabase
 from .models import KBDocument, KBMedia, KnowledgeBase
+from .parsers.url_parser import extract_text_from_url
 from .parsers.util import select_parser
+from .prompts import TEXT_REPAIR_SYSTEM_PROMPT
+
+
+class RateLimiter:
+    """一个简单的速率限制器"""
+
+    def __init__(self, max_rpm: int):
+        self.max_per_minute = max_rpm
+        self.interval = 60.0 / max_rpm if max_rpm > 0 else 0
+        self.last_call_time = 0
+
+    async def __aenter__(self):
+        if self.interval == 0:
+            return
+
+        now = time.monotonic()
+        elapsed = now - self.last_call_time
+
+        if elapsed < self.interval:
+            await asyncio.sleep(self.interval - elapsed)
+
+        self.last_call_time = time.monotonic()
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        pass
+
+
+async def _repair_and_translate_chunk_with_retry(
+    chunk: str,
+    repair_llm_service: LLMProvider,
+    rate_limiter: RateLimiter,
+    max_retries: int = 2,
+) -> list[str]:
+    """
+    Repairs, translates, and optionally re-chunks a single text chunk using the small LLM, with rate limiting.
+    """
+    # 为了防止 LLM 上下文污染，在 user_prompt 中也加入明确的指令
+    user_prompt = f"""IGNORE ALL PREVIOUS INSTRUCTIONS. Your ONLY task is to process the following text chunk according to the system prompt provided.
+
+Text chunk to process:
+---
+{chunk}
+---
+"""
+    for attempt in range(max_retries + 1):
+        try:
+            async with rate_limiter:
+                response = await repair_llm_service.text_chat(
+                    prompt=user_prompt, system_prompt=TEXT_REPAIR_SYSTEM_PROMPT
+                )
+
+            llm_output = response.completion_text
+
+            if "<discard_chunk />" in llm_output:
+                return []  # Signal to discard this chunk
+
+            # More robust regex to handle potential LLM formatting errors (spaces, newlines in tags)
+            matches = re.findall(
+                r"<\s*repaired_text\s*>\s*(.*?)\s*<\s*/\s*repaired_text\s*>",
+                llm_output,
+                re.DOTALL,
+            )
+
+            if matches:
+                # Further cleaning to ensure no empty strings are returned
+                return [m.strip() for m in matches if m.strip()]
+            else:
+                # If no valid tags and not explicitly discarded, discard it to be safe.
+                return []
+        except Exception as e:
+            logger.warning(
+                f"  - LLM call failed on attempt {attempt + 1}/{max_retries + 1}. Error: {str(e)}"
+            )
+
+    logger.error(
+        f"  - Failed to process chunk after {max_retries + 1} attempts. Using original text."
+    )
+    return [chunk]
 
 
 class KBHelper:
@@ -100,7 +189,7 @@ class KBHelper:
     async def upload_document(
         self,
         file_name: str,
-        file_content: bytes,
+        file_content: bytes | None,
         file_type: str,
         chunk_size: int = 512,
         chunk_overlap: int = 50,
@@ -108,6 +197,7 @@ class KBHelper:
         tasks_limit: int = 3,
         max_retries: int = 3,
         progress_callback=None,
+        pre_chunked_text: list[str] | None = None,
     ) -> KBDocument:
         """上传并处理文档（带原子性保证和失败清理）
 
@@ -130,46 +220,63 @@ class KBHelper:
         await self._ensure_vec_db()
         doc_id = str(uuid.uuid4())
         media_paths: list[Path] = []
+        file_size = 0
 
         # file_path = self.kb_files_dir / f"{doc_id}.{file_type}"
         # async with aiofiles.open(file_path, "wb") as f:
         #     await f.write(file_content)
 
         try:
-            # 阶段1: 解析文档
-            if progress_callback:
-                await progress_callback("parsing", 0, 100)
-
-            parser = await select_parser(f".{file_type}")
-            parse_result = await parser.parse(file_content, file_name)
-            text_content = parse_result.text
-            media_items = parse_result.media
-
-            if progress_callback:
-                await progress_callback("parsing", 100, 100)
-
-            # 保存媒体文件
+            chunks_text = []
             saved_media = []
-            for media_item in media_items:
-                media = await self._save_media(
-                    doc_id=doc_id,
-                    media_type=media_item.media_type,
-                    file_name=media_item.file_name,
-                    content=media_item.content,
-                    mime_type=media_item.mime_type,
+
+            if pre_chunked_text is not None:
+                # 如果提供了预分块文本，直接使用
+                chunks_text = pre_chunked_text
+                file_size = sum(len(chunk) for chunk in chunks_text)
+                logger.info(f"使用预分块文本进行上传，共 {len(chunks_text)} 个块。")
+            else:
+                # 否则，执行标准的文件解析和分块流程
+                if file_content is None:
+                    raise ValueError(
+                        "当未提供 pre_chunked_text 时，file_content 不能为空。"
+                    )
+
+                file_size = len(file_content)
+
+                # 阶段1: 解析文档
+                if progress_callback:
+                    await progress_callback("parsing", 0, 100)
+
+                parser = await select_parser(f".{file_type}")
+                parse_result = await parser.parse(file_content, file_name)
+                text_content = parse_result.text
+                media_items = parse_result.media
+
+                if progress_callback:
+                    await progress_callback("parsing", 100, 100)
+
+                # 保存媒体文件
+                for media_item in media_items:
+                    media = await self._save_media(
+                        doc_id=doc_id,
+                        media_type=media_item.media_type,
+                        file_name=media_item.file_name,
+                        content=media_item.content,
+                        mime_type=media_item.mime_type,
+                    )
+                    saved_media.append(media)
+                    media_paths.append(Path(media.file_path))
+
+                # 阶段2: 分块
+                if progress_callback:
+                    await progress_callback("chunking", 0, 100)
+
+                chunks_text = await self.chunker.chunk(
+                    text_content,
+                    chunk_size=chunk_size,
+                    chunk_overlap=chunk_overlap,
                 )
-                saved_media.append(media)
-                media_paths.append(Path(media.file_path))
-
-            # 阶段2: 分块
-            if progress_callback:
-                await progress_callback("chunking", 0, 100)
-
-            chunks_text = await self.chunker.chunk(
-                text_content,
-                chunk_size=chunk_size,
-                chunk_overlap=chunk_overlap,
-            )
             contents = []
             metadatas = []
             for idx, chunk_text in enumerate(chunks_text):
@@ -205,7 +312,7 @@ class KBHelper:
                 kb_id=self.kb.kb_id,
                 doc_name=file_name,
                 file_type=file_type,
-                file_size=len(file_content),
+                file_size=file_size,
                 # file_path=str(file_path),
                 file_path="",
                 chunk_count=len(chunks_text),
@@ -359,3 +466,177 @@ class KBHelper:
         )
 
         return media
+
+    async def upload_from_url(
+        self,
+        url: str,
+        chunk_size: int = 512,
+        chunk_overlap: int = 50,
+        batch_size: int = 32,
+        tasks_limit: int = 3,
+        max_retries: int = 3,
+        progress_callback=None,
+        enable_cleaning: bool = False,
+        cleaning_provider_id: str | None = None,
+    ) -> KBDocument:
+        """从 URL 上传并处理文档（带原子性保证和失败清理）
+        Args:
+            url: 要提取内容的网页 URL
+            chunk_size: 文本块大小
+            chunk_overlap: 文本块重叠大小
+            batch_size: 批处理大小
+            tasks_limit: 并发任务限制
+            max_retries: 最大重试次数
+            progress_callback: 进度回调函数，接收参数 (stage, current, total)
+                - stage: 当前阶段 ('extracting', 'cleaning', 'parsing', 'chunking', 'embedding')
+                - current: 当前进度
+                - total: 总数
+        Returns:
+            KBDocument: 上传的文档对象
+        Raises:
+            ValueError: 如果 URL 为空或无法提取内容
+            IOError: 如果网络请求失败
+        """
+        # 获取 Tavily API 密钥
+        config = self.prov_mgr.acm.default_conf
+        tavily_keys = config.get("provider_settings", {}).get(
+            "websearch_tavily_key", []
+        )
+        if not tavily_keys:
+            raise ValueError(
+                "Error: Tavily API key is not configured in provider_settings."
+            )
+
+        # 阶段1: 从 URL 提取内容
+        if progress_callback:
+            await progress_callback("extracting", 0, 100)
+
+        try:
+            text_content = await extract_text_from_url(url, tavily_keys)
+        except Exception as e:
+            logger.error(f"Failed to extract content from URL {url}: {e}")
+            raise OSError(f"Failed to extract content from URL {url}: {e}") from e
+
+        if not text_content:
+            raise ValueError(f"No content extracted from URL: {url}")
+
+        if progress_callback:
+            await progress_callback("extracting", 100, 100)
+
+        # 阶段2: (可选)清洗内容并分块
+        final_chunks = await self._clean_and_rechunk_content(
+            content=text_content,
+            url=url,
+            progress_callback=progress_callback,
+            enable_cleaning=enable_cleaning,
+            cleaning_provider_id=cleaning_provider_id,
+            chunk_size=chunk_size,
+            chunk_overlap=chunk_overlap,
+        )
+
+        if enable_cleaning and not final_chunks:
+            raise ValueError(
+                "内容清洗后未提取到有效文本。请尝试关闭内容清洗功能，或更换更高性能的LLM模型后重试。"
+            )
+
+        # 创建一个虚拟文件名
+        file_name = url.split("/")[-1] or f"document_from_{url}"
+        if not Path(file_name).suffix:
+            file_name += ".url"
+
+        # 复用现有的 upload_document 方法，但传入预分块文本
+        return await self.upload_document(
+            file_name=file_name,
+            file_content=None,
+            file_type="url",  # 使用 'url' 作为特殊文件类型
+            chunk_size=chunk_size,
+            chunk_overlap=chunk_overlap,
+            batch_size=batch_size,
+            tasks_limit=tasks_limit,
+            max_retries=max_retries,
+            progress_callback=progress_callback,
+            pre_chunked_text=final_chunks,
+        )
+
+    async def _clean_and_rechunk_content(
+        self,
+        content: str,
+        url: str,
+        progress_callback=None,
+        enable_cleaning: bool = False,
+        cleaning_provider_id: str | None = None,
+        repair_max_rpm: int = 60,
+        chunk_size: int = 512,
+        chunk_overlap: int = 50,
+    ) -> list[str]:
+        """
+        对从 URL 获取的内容进行清洗、修复、翻译和重新分块。
+        """
+        if not enable_cleaning:
+            # 如果不启用清洗，则使用从前端传递的参数进行分块
+            logger.info(
+                f"内容清洗未启用，使用指定参数进行分块: chunk_size={chunk_size}, chunk_overlap={chunk_overlap}"
+            )
+            return await self.chunker.chunk(
+                content, chunk_size=chunk_size, chunk_overlap=chunk_overlap
+            )
+
+        if not cleaning_provider_id:
+            logger.warning(
+                "启用了内容清洗，但未提供 cleaning_provider_id，跳过清洗并使用默认分块。"
+            )
+            return await self.chunker.chunk(content)
+
+        if progress_callback:
+            await progress_callback("cleaning", 0, 100)
+
+        try:
+            # 获取指定的 LLM Provider
+            llm_provider = await self.prov_mgr.get_provider_by_id(cleaning_provider_id)
+            if not llm_provider or not isinstance(llm_provider, LLMProvider):
+                raise ValueError(
+                    f"无法找到 ID 为 {cleaning_provider_id} 的 LLM Provider 或类型不正确"
+                )
+
+            # 初步分块
+            # 优化分隔符，优先按段落分割，以获得更高质量的文本块
+            text_splitter = RecursiveCharacterChunker(
+                chunk_size=chunk_size,
+                chunk_overlap=chunk_overlap,
+                separators=["\n\n", "\n", " "],  # 优先使用段落分隔符
+            )
+            initial_chunks = await text_splitter.chunk(content)
+            logger.info(f"初步分块完成，生成 {len(initial_chunks)} 个块用于修复。")
+
+            # 并发处理所有块
+            rate_limiter = RateLimiter(repair_max_rpm)
+            tasks = [
+                _repair_and_translate_chunk_with_retry(
+                    chunk, llm_provider, rate_limiter
+                )
+                for chunk in initial_chunks
+            ]
+
+            repaired_results = await asyncio.gather(*tasks, return_exceptions=True)
+
+            final_chunks = []
+            for i, result in enumerate(repaired_results):
+                if isinstance(result, Exception):
+                    logger.warning(f"块 {i} 处理异常: {str(result)}. 回退到原始块。")
+                    final_chunks.append(initial_chunks[i])
+                elif isinstance(result, list):
+                    final_chunks.extend(result)
+
+            logger.info(
+                f"文本修复完成: {len(initial_chunks)} 个原始块 -> {len(final_chunks)} 个最终块。"
+            )
+
+            if progress_callback:
+                await progress_callback("cleaning", 100, 100)
+
+            return final_chunks
+
+        except Exception as e:
+            logger.error(f"使用 Provider '{cleaning_provider_id}' 清洗内容失败: {e}")
+            # 清洗失败，返回默认分块结果，保证流程不中断
+            return await self.chunker.chunk(content)

astrbot/core/knowledge_base/kb_mgr.py

@@ -8,7 +8,7 @@ from astrbot.core.provider.manager import ProviderManager
 from .chunking.recursive import RecursiveCharacterChunker
 from .kb_db_sqlite import KBSQLiteDatabase
 from .kb_helper import KBHelper
-from .models import KnowledgeBase
+from .models import KBDocument, KnowledgeBase
 from .retrieval.manager import RetrievalManager, RetrievalResult
 from .retrieval.rank_fusion import RankFusion
 from .retrieval.sparse_retriever import SparseRetriever
@@ -284,3 +284,47 @@ class KnowledgeBaseManager:
                 await self.kb_db.close()
             except Exception as e:
                 logger.error(f"关闭知识库元数据数据库失败: {e}")
+
+    async def upload_from_url(
+        self,
+        kb_id: str,
+        url: str,
+        chunk_size: int = 512,
+        chunk_overlap: int = 50,
+        batch_size: int = 32,
+        tasks_limit: int = 3,
+        max_retries: int = 3,
+        progress_callback=None,
+    ) -> KBDocument:
+        """从 URL 上传文档到指定的知识库
+
+        Args:
+            kb_id: 知识库 ID
+            url: 要提取内容的网页 URL
+            chunk_size: 文本块大小
+            chunk_overlap: 文本块重叠大小
+            batch_size: 批处理大小
+            tasks_limit: 并发任务限制
+            max_retries: 最大重试次数
+            progress_callback: 进度回调函数
+
+        Returns:
+            KBDocument: 上传的文档对象
+
+        Raises:
+            ValueError: 如果知识库不存在或 URL 为空
+            IOError: 如果网络请求失败
+        """
+        kb_helper = await self.get_kb(kb_id)
+        if not kb_helper:
+            raise ValueError(f"Knowledge base with id {kb_id} not found.")
+
+        return await kb_helper.upload_from_url(
+            url=url,
+            chunk_size=chunk_size,
+            chunk_overlap=chunk_overlap,
+            batch_size=batch_size,
+            tasks_limit=tasks_limit,
+            max_retries=max_retries,
+            progress_callback=progress_callback,
+        )

astrbot/core/knowledge_base/parsers/url_parser.py

@@ -0,0 +1,103 @@
+import asyncio
+
+import aiohttp
+
+
+class URLExtractor:
+    """URL 内容提取器，封装了 Tavily API 调用和密钥管理"""
+
+    def __init__(self, tavily_keys: list[str]):
+        """
+        初始化 URL 提取器
+
+        Args:
+            tavily_keys: Tavily API 密钥列表
+        """
+        if not tavily_keys:
+            raise ValueError("Error: Tavily API keys are not configured.")
+
+        self.tavily_keys = tavily_keys
+        self.tavily_key_index = 0
+        self.tavily_key_lock = asyncio.Lock()
+
+    async def _get_tavily_key(self) -> str:
+        """并发安全的从列表中获取并轮换Tavily API密钥。"""
+        async with self.tavily_key_lock:
+            key = self.tavily_keys[self.tavily_key_index]
+            self.tavily_key_index = (self.tavily_key_index + 1) % len(self.tavily_keys)
+            return key
+
+    async def extract_text_from_url(self, url: str) -> str:
+        """
+        使用 Tavily API 从 URL 提取主要文本内容。
+        这是 web_searcher 插件中 tavily_extract_web_page 方法的简化版本，
+        专门为知识库模块设计，不依赖 AstrMessageEvent。
+
+        Args:
+            url: 要提取内容的网页 URL
+
+        Returns:
+            提取的文本内容
+
+        Raises:
+            ValueError: 如果 URL 为空或 API 密钥未配置
+            IOError: 如果请求失败或返回错误
+        """
+        if not url:
+            raise ValueError("Error: url must be a non-empty string.")
+
+        tavily_key = await self._get_tavily_key()
+        api_url = "https://api.tavily.com/extract"
+        headers = {
+            "Authorization": f"Bearer {tavily_key}",
+            "Content-Type": "application/json",
+        }
+
+        payload = {
+            "urls": [url],
+            "extract_depth": "basic",  # 使用基础提取深度
+        }
+
+        try:
+            async with aiohttp.ClientSession(trust_env=True) as session:
+                async with session.post(
+                    api_url,
+                    json=payload,
+                    headers=headers,
+                    timeout=30.0,  # 增加超时时间，因为内容提取可能需要更长时间
+                ) as response:
+                    if response.status != 200:
+                        reason = await response.text()
+                        raise OSError(
+                            f"Tavily web extraction failed: {reason}, status: {response.status}"
+                        )
+
+                    data = await response.json()
+                    results = data.get("results", [])
+
+                    if not results:
+                        raise ValueError(f"No content extracted from URL: {url}")
+
+                    # 返回第一个结果的内容
+                    return results[0].get("raw_content", "")
+
+        except aiohttp.ClientError as e:
+            raise OSError(f"Failed to fetch URL {url}: {e}") from e
+        except Exception as e:
+            raise OSError(f"Failed to extract content from URL {url}: {e}") from e
+
+
+# 为了向后兼容，提供一个简单的函数接口
+async def extract_text_from_url(url: str, tavily_keys: list[str]) -> str:
+    """
+    简单的函数接口，用于从 URL 提取文本内容
+
+    Args:
+        url: 要提取内容的网页 URL
+        tavily_keys: Tavily API 密钥列表
+
+    Returns:
+        提取的文本内容
+    """
+    extractor = URLExtractor(tavily_keys)
+    return await extractor.extract_text_from_url(url)

astrbot/core/knowledge_base/prompts.py

@@ -0,0 +1,65 @@
+TEXT_REPAIR_SYSTEM_PROMPT = """You are a meticulous digital archivist. Your mission is to reconstruct a clean, readable article from raw, noisy text chunks.
+
+**Core Task:**
+1.  **Analyze:** Examine the text chunk to separate "signal" (substantive information) from "noise" (UI elements, ads, navigation, footers).
+2.  **Process:** Clean and repair the signal. **Do not translate it.** Keep the original language.
+
+**Crucial Rules:**
+- **NEVER discard a chunk if it contains ANY valuable information.** Your primary duty is to salvage content.
+- **If a chunk contains multiple distinct topics, split them.** Enclose each topic in its own `<repaired_text>` tag.
+- Your output MUST be ONLY `<repaired_text>...</repaired_text>` tags or a single `<discard_chunk />` tag.
+
+---
+**Example 1: Chunk with Noise and Signal**
+
+*Input Chunk:*
+"Home | About | Products | **The Llama is a domesticated South American camelid.** | © 2025 ACME Corp."
+
+*Your Thought Process:*
+1.  "Home | About | Products..." and "© 2025 ACME Corp." are noise.
+2.  "The Llama is a domesticated..." is the signal.
+3.  I must extract the signal and wrap it.
+
+*Your Output:*
+<repaired_text>
+The Llama is a domesticated South American camelid.
+</repaired_text>
+
+---
+**Example 2: Chunk with ONLY Noise**
+
+*Input Chunk:*
+"Next Page > | Subscribe to our newsletter | Follow us on X"
+
+*Your Thought Process:*
+1.  This entire chunk is noise. There is no signal.
+2.  I must discard this.
+
+*Your Output:*
+<discard_chunk />
+
+---
+**Example 3: Chunk with Multiple Topics (Requires Splitting)**
+
+*Input Chunk:*
+"## Chapter 1: The Sun
+The Sun is the star at the center of the Solar System.
+
+## Chapter 2: The Moon
+The Moon is Earth's only natural satellite."
+
+*Your Thought Process:*
+1.  This chunk contains two distinct topics.
+2.  I must process them separately to maintain semantic integrity.
+3.  I will create two `<repaired_text>` blocks.
+
+*Your Output:*
+<repaired_text>
+## Chapter 1: The Sun
+The Sun is the star at the center of the Solar System.
+</repaired_text>
+<repaired_text>
+## Chapter 2: The Moon
+The Moon is Earth's only natural satellite.
+</repaired_text>
+"""

astrbot/core/message/components.py

@@ -722,7 +722,12 @@ class File(BaseMessageComponent):
         """下载文件"""
         download_dir = os.path.join(get_astrbot_data_path(), "temp")
         os.makedirs(download_dir, exist_ok=True)
-        file_path = os.path.join(download_dir, f"{uuid.uuid4().hex}")
+        if self.name:
+            name, ext = os.path.splitext(self.name)
+            filename = f"{name}_{uuid.uuid4().hex[:8]}{ext}"
+        else:
+            filename = f"{uuid.uuid4().hex}"
+        file_path = os.path.join(download_dir, filename)
         await download_file(self.url, file_path)
         self.file_ = os.path.abspath(file_path)
 

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

@@ -0,0 +1,48 @@
+from collections.abc import AsyncGenerator
+
+from astrbot.core import logger
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.star.session_llm_manager import SessionServiceManager
+
+from ...context import PipelineContext
+from ..stage import Stage
+from .agent_sub_stages.internal import InternalAgentSubStage
+from .agent_sub_stages.third_party import ThirdPartyAgentSubStage
+
+
+class AgentRequestSubStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        self.config = ctx.astrbot_config
+
+        self.bot_wake_prefixs: list[str] = self.config["wake_prefix"]
+        self.prov_wake_prefix: str = self.config["provider_settings"]["wake_prefix"]
+        for bwp in self.bot_wake_prefixs:
+            if self.prov_wake_prefix.startswith(bwp):
+                logger.info(
+                    f"识别 LLM 聊天额外唤醒前缀 {self.prov_wake_prefix} 以机器人唤醒前缀 {bwp} 开头，已自动去除。",
+                )
+                self.prov_wake_prefix = self.prov_wake_prefix[len(bwp) :]
+
+        agent_runner_type = self.config["provider_settings"]["agent_runner_type"]
+        if agent_runner_type == "local":
+            self.agent_sub_stage = InternalAgentSubStage()
+        else:
+            self.agent_sub_stage = ThirdPartyAgentSubStage()
+        await self.agent_sub_stage.initialize(ctx)
+
+    async def process(self, event: AstrMessageEvent) -> AsyncGenerator[None, None]:
+        if not self.ctx.astrbot_config["provider_settings"]["enable"]:
+            logger.debug(
+                "This pipeline does not enable AI capability, skip processing."
+            )
+            return
+
+        if not SessionServiceManager.should_process_llm_request(event):
+            logger.debug(
+                f"The session {event.unified_msg_origin} has disabled AI capability, skipping processing."
+            )
+            return
+
+        async for resp in self.agent_sub_stage.process(event, self.prov_wake_prefix):
+            yield resp

astrbot/core/pipeline/process_stage/method/agent_sub_stages/internal.py

@@ -9,7 +9,7 @@ from astrbot.core import logger
 from astrbot.core.agent.tool import ToolSet
 from astrbot.core.astr_agent_context import AstrAgentContext
 from astrbot.core.conversation_mgr import Conversation
-from astrbot.core.message.components import Image
+from astrbot.core.message.components import File, Image, Reply
 from astrbot.core.message.message_event_result import (
     MessageChain,
     MessageEventResult,
@@ -21,27 +21,25 @@ from astrbot.core.provider.entities import (
     LLMResponse,
     ProviderRequest,
 )
-from astrbot.core.star.session_llm_manager import SessionServiceManager
 from astrbot.core.star.star_handler import EventType, star_map
+from astrbot.core.utils.file_extract import extract_file_moonshotai
 from astrbot.core.utils.metrics import Metric
 from astrbot.core.utils.session_lock import session_lock_manager
 
-from ....astr_agent_context import AgentContextWrapper
-from ....astr_agent_hooks import MAIN_AGENT_HOOKS
-from ....astr_agent_run_util import AgentRunner, run_agent
-from ....astr_agent_tool_exec import FunctionToolExecutor
-from ...context import PipelineContext, call_event_hook
-from ..stage import Stage
-from ..utils import inject_kb_context
+from .....astr_agent_context import AgentContextWrapper
+from .....astr_agent_hooks import MAIN_AGENT_HOOKS
+from .....astr_agent_run_util import AgentRunner, run_agent
+from .....astr_agent_tool_exec import FunctionToolExecutor
+from ....context import PipelineContext, call_event_hook
+from ...stage import Stage
+from ...utils import KNOWLEDGE_BASE_QUERY_TOOL, retrieve_knowledge_base
 
 
-class LLMRequestSubStage(Stage):
+class InternalAgentSubStage(Stage):
     async def initialize(self, ctx: PipelineContext) -> None:
         self.ctx = ctx
         conf = ctx.astrbot_config
         settings = conf["provider_settings"]
-        self.bot_wake_prefixs: list[str] = conf["wake_prefix"]  # list
-        self.provider_wake_prefix: str = settings["wake_prefix"]  # str
         self.max_context_length = settings["max_context_length"]  # int
         self.dequeue_context_length: int = min(
             max(1, settings["dequeue_context_length"]),
@@ -57,13 +55,14 @@ class LLMRequestSubStage(Stage):
             self.max_step = 30
         self.show_tool_use: bool = settings.get("show_tool_use_status", True)
         self.show_reasoning = settings.get("display_reasoning_text", False)
+        self.kb_agentic_mode: bool = conf.get("kb_agentic_mode", False)
 
-        for bwp in self.bot_wake_prefixs:
-            if self.provider_wake_prefix.startswith(bwp):
-                logger.info(
-                    f"识别 LLM 聊天额外唤醒前缀 {self.provider_wake_prefix} 以机器人唤醒前缀 {bwp} 开头，已自动去除。",
-                )
-                self.provider_wake_prefix = self.provider_wake_prefix[len(bwp) :]
+        file_extract_conf: dict = settings.get("file_extract", {})
+        self.file_extract_enabled: bool = file_extract_conf.get("enable", False)
+        self.file_extract_prov: str = file_extract_conf.get("provider", "moonshotai")
+        self.file_extract_msh_api_key: str = file_extract_conf.get(
+            "moonshotai_api_key", ""
+        )
 
         self.conv_manager = ctx.plugin_manager.context.conversation_manager
 
@@ -95,20 +94,77 @@ class LLMRequestSubStage(Stage):
             raise RuntimeError("无法创建新的对话。")
         return conversation
 
-    async def _apply_kb_context(
+    async def _apply_kb(
         self,
         event: AstrMessageEvent,
         req: ProviderRequest,
     ):
-        """应用知识库上下文到请求中"""
-        try:
-            await inject_kb_context(
-                umo=event.unified_msg_origin,
-                p_ctx=self.ctx,
-                req=req,
+        """Apply knowledge base context to the provider request"""
+        if not self.kb_agentic_mode:
+            if req.prompt is None:
+                return
+            try:
+                kb_result = await retrieve_knowledge_base(
+                    query=req.prompt,
+                    umo=event.unified_msg_origin,
+                    context=self.ctx.plugin_manager.context,
+                )
+                if not kb_result:
+                    return
+                if req.system_prompt is not None:
+                    req.system_prompt += (
+                        f"\n\n[Related Knowledge Base Results]:\n{kb_result}"
+                    )
+            except Exception as e:
+                logger.error(f"Error occurred while retrieving knowledge base: {e}")
+        else:
+            if req.func_tool is None:
+                req.func_tool = ToolSet()
+            req.func_tool.add_tool(KNOWLEDGE_BASE_QUERY_TOOL)
+
+    async def _apply_file_extract(
+        self,
+        event: AstrMessageEvent,
+        req: ProviderRequest,
+    ):
+        """Apply file extract to the provider request"""
+        file_paths = []
+        file_names = []
+        for comp in event.message_obj.message:
+            if isinstance(comp, File):
+                file_paths.append(await comp.get_file())
+                file_names.append(comp.name)
+            elif isinstance(comp, Reply) and comp.chain:
+                for reply_comp in comp.chain:
+                    if isinstance(reply_comp, File):
+                        file_paths.append(await reply_comp.get_file())
+                        file_names.append(reply_comp.name)
+        if not file_paths:
+            return
+        if not req.prompt:
+            req.prompt = "总结一下文件里面讲了什么？"
+        if self.file_extract_prov == "moonshotai":
+            if not self.file_extract_msh_api_key:
+                logger.error("Moonshot AI API key for file extract is not set")
+                return
+            file_contents = await asyncio.gather(
+                *[
+                    extract_file_moonshotai(file_path, self.file_extract_msh_api_key)
+                    for file_path in file_paths
+                ]
+            )
+        else:
+            logger.error(f"Unsupported file extract provider: {self.file_extract_prov}")
+            return
+
+        # add file extract results to contexts
+        for file_content, file_name in zip(file_contents, file_names):
+            req.contexts.append(
+                {
+                    "role": "system",
+                    "content": f"File Extract Results of user uploaded files:\n{file_content}\nFile Name: {file_name or 'Unknown'}",
+                },
             )
-        except Exception as e:
-            logger.error(f"调用知识库时遇到问题: {e}")
 
     def _truncate_contexts(
         self,
@@ -290,21 +346,10 @@ class LLMRequestSubStage(Stage):
         return fixed_messages
 
     async def process(
-        self,
-        event: AstrMessageEvent,
-        _nested: bool = False,
-    ) -> None | AsyncGenerator[None, None]:
+        self, event: AstrMessageEvent, provider_wake_prefix: str
+    ) -> AsyncGenerator[None, None]:
         req: ProviderRequest | None = None
 
-        if not self.ctx.astrbot_config["provider_settings"]["enable"]:
-            logger.debug("未启用 LLM 能力，跳过处理。")
-            return
-
-        # 检查会话级别的LLM启停状态
-        if not SessionServiceManager.should_process_llm_request(event):
-            logger.debug(f"会话 {event.unified_msg_origin} 禁用了 LLM，跳过处理。")
-            return
-
         provider = self._select_provider(event)
         if provider is None:
             return
@@ -334,12 +379,12 @@ class LLMRequestSubStage(Stage):
                 req.image_urls = []
                 if sel_model := event.get_extra("selected_model"):
                     req.model = sel_model
-                if self.provider_wake_prefix and not event.message_str.startswith(
-                    self.provider_wake_prefix
+                if provider_wake_prefix and not event.message_str.startswith(
+                    provider_wake_prefix
                 ):
                     return
 
-                req.prompt = event.message_str[len(self.provider_wake_prefix) :]
+                req.prompt = event.message_str[len(provider_wake_prefix) :]
                 # 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:
@@ -353,19 +398,26 @@ class LLMRequestSubStage(Stage):
 
                 event.set_extra("provider_request", req)
 
+            # fix contexts json str
+            if isinstance(req.contexts, str):
+                req.contexts = json.loads(req.contexts)
+
+            # apply file extract
+            if self.file_extract_enabled:
+                try:
+                    await self._apply_file_extract(event, req)
+                except Exception as e:
+                    logger.error(f"Error occurred while applying file extract: {e}")
+
             if not req.prompt and not req.image_urls:
                 return
 
-            # apply knowledge base context
-            await self._apply_kb_context(event, req)
-
             # call event hook
             if await call_event_hook(event, EventType.OnLLMRequestEvent, req):
                 return
 
-            # fix contexts json str
-            if isinstance(req.contexts, str):
-                req.contexts = json.loads(req.contexts)
+            # apply knowledge base feature
+            await self._apply_kb(event, req)
 
             # truncate contexts to fit max length
             if req.contexts:

astrbot/core/pipeline/process_stage/method/agent_sub_stages/third_party.py

@@ -0,0 +1,205 @@
+import asyncio
+from collections.abc import AsyncGenerator
+from typing import TYPE_CHECKING
+
+from astrbot.core import astrbot_config, logger
+from astrbot.core.agent.runners.coze.coze_agent_runner import CozeAgentRunner
+from astrbot.core.agent.runners.dashscope.dashscope_agent_runner import (
+    DashscopeAgentRunner,
+)
+from astrbot.core.agent.runners.dify.dify_agent_runner import DifyAgentRunner
+from astrbot.core.message.components import Image
+from astrbot.core.message.message_event_result import (
+    MessageChain,
+    MessageEventResult,
+    ResultContentType,
+)
+
+if TYPE_CHECKING:
+    from astrbot.core.agent.runners.base import BaseAgentRunner
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.provider.entities import (
+    ProviderRequest,
+)
+from astrbot.core.star.star_handler import EventType
+from astrbot.core.utils.metrics import Metric
+
+from .....astr_agent_context import AgentContextWrapper, AstrAgentContext
+from .....astr_agent_hooks import MAIN_AGENT_HOOKS
+from ....context import PipelineContext, call_event_hook
+from ...stage import Stage
+
+AGENT_RUNNER_TYPE_KEY = {
+    "dify": "dify_agent_runner_provider_id",
+    "coze": "coze_agent_runner_provider_id",
+    "dashscope": "dashscope_agent_runner_provider_id",
+}
+
+
+async def run_third_party_agent(
+    runner: "BaseAgentRunner",
+    stream_to_general: bool = False,
+) -> AsyncGenerator[MessageChain | None, None]:
+    """
+    运行第三方 agent runner 并转换响应格式
+    类似于 run_agent 函数，但专门处理第三方 agent runner
+    """
+    try:
+        async for resp in runner.step_until_done(max_step=30):  # type: ignore[misc]
+            if resp.type == "streaming_delta":
+                if stream_to_general:
+                    continue
+                yield resp.data["chain"]
+            elif resp.type == "llm_result":
+                if stream_to_general:
+                    yield resp.data["chain"]
+    except Exception as e:
+        logger.error(f"Third party agent runner error: {e}")
+        err_msg = (
+            f"\nAstrBot 请求失败。\n错误类型: {type(e).__name__}\n"
+            f"错误信息: {e!s}\n\n请在平台日志查看和分享错误详情。\n"
+        )
+        yield MessageChain().message(err_msg)
+
+
+class ThirdPartyAgentSubStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        self.conf = ctx.astrbot_config
+        self.runner_type = self.conf["provider_settings"]["agent_runner_type"]
+        self.prov_id = self.conf["provider_settings"].get(
+            AGENT_RUNNER_TYPE_KEY.get(self.runner_type, ""),
+            "",
+        )
+        settings = ctx.astrbot_config["provider_settings"]
+        self.streaming_response: bool = settings["streaming_response"]
+        self.unsupported_streaming_strategy: str = settings[
+            "unsupported_streaming_strategy"
+        ]
+
+    async def process(
+        self, event: AstrMessageEvent, provider_wake_prefix: str
+    ) -> AsyncGenerator[None, None]:
+        req: ProviderRequest | None = None
+
+        if provider_wake_prefix and not event.message_str.startswith(
+            provider_wake_prefix
+        ):
+            return
+
+        self.prov_cfg: dict = next(
+            (p for p in astrbot_config["provider"] if p["id"] == self.prov_id),
+            {},
+        )
+        if not self.prov_id:
+            logger.error("没有填写 Agent Runner 提供商 ID，请前往配置页面配置。")
+            return
+        if not self.prov_cfg:
+            logger.error(
+                f"Agent Runner 提供商 {self.prov_id} 配置不存在，请前往配置页面修改配置。"
+            )
+            return
+
+        # make provider request
+        req = ProviderRequest()
+        req.session_id = event.unified_msg_origin
+        req.prompt = event.message_str[len(provider_wake_prefix) :]
+        for comp in event.message_obj.message:
+            if isinstance(comp, Image):
+                image_path = await comp.convert_to_base64()
+                req.image_urls.append(image_path)
+
+        if not req.prompt and not req.image_urls:
+            return
+
+        # call event hook
+        if await call_event_hook(event, EventType.OnLLMRequestEvent, req):
+            return
+
+        if self.runner_type == "dify":
+            runner = DifyAgentRunner[AstrAgentContext]()
+        elif self.runner_type == "coze":
+            runner = CozeAgentRunner[AstrAgentContext]()
+        elif self.runner_type == "dashscope":
+            runner = DashscopeAgentRunner[AstrAgentContext]()
+        else:
+            raise ValueError(
+                f"Unsupported third party agent runner type: {self.runner_type}",
+            )
+
+        astr_agent_ctx = AstrAgentContext(
+            context=self.ctx.plugin_manager.context,
+            event=event,
+        )
+
+        streaming_response = self.streaming_response
+        if (enable_streaming := event.get_extra("enable_streaming")) is not None:
+            streaming_response = bool(enable_streaming)
+
+        stream_to_general = (
+            self.unsupported_streaming_strategy == "turn_off"
+            and not event.platform_meta.support_streaming_message
+        )
+
+        await runner.reset(
+            request=req,
+            run_context=AgentContextWrapper(
+                context=astr_agent_ctx,
+                tool_call_timeout=60,
+            ),
+            agent_hooks=MAIN_AGENT_HOOKS,
+            provider_config=self.prov_cfg,
+            streaming=streaming_response,
+        )
+
+        if streaming_response and not stream_to_general:
+            # 流式响应
+            event.set_result(
+                MessageEventResult()
+                .set_result_content_type(ResultContentType.STREAMING_RESULT)
+                .set_async_stream(
+                    run_third_party_agent(
+                        runner,
+                        stream_to_general=False,
+                    ),
+                ),
+            )
+            yield
+            if runner.done():
+                final_resp = runner.get_final_llm_resp()
+                if final_resp and final_resp.result_chain:
+                    event.set_result(
+                        MessageEventResult(
+                            chain=final_resp.result_chain.chain or [],
+                            result_content_type=ResultContentType.STREAMING_FINISH,
+                        ),
+                    )
+        else:
+            # 非流式响应或转换为普通响应
+            async for _ in run_third_party_agent(
+                runner,
+                stream_to_general=stream_to_general,
+            ):
+                yield
+
+            final_resp = runner.get_final_llm_resp()
+
+            if not final_resp or not final_resp.result_chain:
+                logger.warning("Agent Runner 未返回最终结果。")
+                return
+
+            event.set_result(
+                MessageEventResult(
+                    chain=final_resp.result_chain.chain or [],
+                    result_content_type=ResultContentType.LLM_RESULT,
+                ),
+            )
+            yield
+
+        asyncio.create_task(
+            Metric.upload(
+                llm_tick=1,
+                model_name=self.runner_type,
+                provider_type=self.runner_type,
+            ),
+        )

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

@@ -24,7 +24,7 @@ class StarRequestSubStage(Stage):
     async def process(
         self,
         event: AstrMessageEvent,
-    ) -> None | AsyncGenerator[None, None]:
+    ) -> AsyncGenerator[None, None]:
         activated_handlers: list[StarHandlerMetadata] = event.get_extra(
             "activated_handlers",
         )

astrbot/core/pipeline/process_stage/stage.py

@@ -1,13 +1,12 @@
 from collections.abc import AsyncGenerator
 
-from astrbot.core import logger
 from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.provider.entities import ProviderRequest
 from astrbot.core.star.star_handler import StarHandlerMetadata
 
 from ..context import PipelineContext
 from ..stage import Stage, register_stage
-from .method.llm_request import LLMRequestSubStage
+from .method.agent_request import AgentRequestSubStage
 from .method.star_request import StarRequestSubStage
 
 
@@ -17,9 +16,12 @@ class ProcessStage(Stage):
         self.ctx = ctx
         self.config = ctx.astrbot_config
         self.plugin_manager = ctx.plugin_manager
-        self.llm_request_sub_stage = LLMRequestSubStage()
-        await self.llm_request_sub_stage.initialize(ctx)
 
+        # initialize agent sub stage
+        self.agent_sub_stage = AgentRequestSubStage()
+        await self.agent_sub_stage.initialize(ctx)
+
+        # initialize star request sub stage
         self.star_request_sub_stage = StarRequestSubStage()
         await self.star_request_sub_stage.initialize(ctx)
 
@@ -39,7 +41,7 @@ class ProcessStage(Stage):
                     # Handler 的 LLM 请求
                     event.set_extra("provider_request", resp)
                     _t = False
-                    async for _ in self.llm_request_sub_stage.process(event):
+                    async for _ in self.agent_sub_stage.process(event):
                         _t = True
                         yield
                     if not _t:
@@ -60,12 +62,5 @@ class ProcessStage(Stage):
             if (
                 event.get_result() and not event.get_result().is_stopped()
             ) or not event.get_result():
-                # 事件没有终止传播
-                provider = self.ctx.plugin_manager.context.get_using_provider()
-
-                if not provider:
-                    logger.info("未找到可用的 LLM 提供商，请先前往配置服务提供商。")
-                    return
-
-                async for _ in self.llm_request_sub_stage.process(event):
+                async for _ in self.agent_sub_stage.process(event):
                     yield

astrbot/core/pipeline/process_stage/utils.py

@@ -1,23 +1,64 @@
+from pydantic import Field
+from pydantic.dataclasses import dataclass
+
 from astrbot.api import logger, sp
-from astrbot.core.provider.entities import ProviderRequest
-
-from ..context import PipelineContext
+from astrbot.core.agent.run_context import ContextWrapper
+from astrbot.core.agent.tool import FunctionTool, ToolExecResult
+from astrbot.core.astr_agent_context import AstrAgentContext
+from astrbot.core.star.context import Context
 
 
-async def inject_kb_context(
+@dataclass
+class KnowledgeBaseQueryTool(FunctionTool[AstrAgentContext]):
+    name: str = "astr_kb_search"
+    description: str = (
+        "Query the knowledge base for facts or relevant context. "
+        "Use this tool when the user's question requires factual information, "
+        "definitions, background knowledge, or previously indexed content. "
+        "Only send short keywords or a concise question as the query."
+    )
+    parameters: dict = Field(
+        default_factory=lambda: {
+            "type": "object",
+            "properties": {
+                "query": {
+                    "type": "string",
+                    "description": "A concise keyword query for the knowledge base.",
+                },
+            },
+            "required": ["query"],
+        }
+    )
+
+    async def call(
+        self, context: ContextWrapper[AstrAgentContext], **kwargs
+    ) -> ToolExecResult:
+        query = kwargs.get("query", "")
+        if not query:
+            return "error: Query parameter is empty."
+        result = await retrieve_knowledge_base(
+            query=kwargs.get("query", ""),
+            umo=context.context.event.unified_msg_origin,
+            context=context.context.context,
+        )
+        if not result:
+            return "No relevant knowledge found."
+        return result
+
+
+async def retrieve_knowledge_base(
+    query: str,
     umo: str,
-    p_ctx: PipelineContext,
-    req: ProviderRequest,
-) -> None:
+    context: Context,
+) -> str | None:
     """Inject knowledge base context into the provider request
 
     Args:
         umo: Unique message object (session ID)
         p_ctx: Pipeline context
-        req: Provider request
-
     """
-    kb_mgr = p_ctx.plugin_manager.context.kb_manager
+    kb_mgr = context.kb_manager
+    config = context.get_config(umo=umo)
 
     # 1. 优先读取会话级配置
     session_config = await sp.session_get(umo, "kb_config", default={})
@@ -54,18 +95,18 @@ async def inject_kb_context(
 
         logger.debug(f"[知识库] 使用会话级配置，知识库数量: {len(kb_names)}")
     else:
-        kb_names = p_ctx.astrbot_config.get("kb_names", [])
-        top_k = p_ctx.astrbot_config.get("kb_final_top_k", 5)
+        kb_names = config.get("kb_names", [])
+        top_k = config.get("kb_final_top_k", 5)
         logger.debug(f"[知识库] 使用全局配置，知识库数量: {len(kb_names)}")
 
-    top_k_fusion = p_ctx.astrbot_config.get("kb_fusion_top_k", 20)
+    top_k_fusion = config.get("kb_fusion_top_k", 20)
 
     if not kb_names:
         return
 
     logger.debug(f"[知识库] 开始检索知识库，数量: {len(kb_names)}, top_k={top_k}")
     kb_context = await kb_mgr.retrieve(
-        query=req.prompt,
+        query=query,
         kb_names=kb_names,
         top_k_fusion=top_k_fusion,
         top_m_final=top_k,
@@ -78,4 +119,7 @@ async def inject_kb_context(
     if formatted:
         results = kb_context.get("results", [])
         logger.debug(f"[知识库] 为会话 {umo} 注入了 {len(results)} 条相关知识块")
-        req.system_prompt = f"{formatted}\n\n{req.system_prompt or ''}"
+        return formatted
+
+
+KNOWLEDGE_BASE_QUERY_TOOL = KnowledgeBaseQueryTool()

astrbot/core/pipeline/result_decorate/stage.py

@@ -161,11 +161,21 @@ class ResultDecorateStage(Stage):
                                 # 不分段回复
                                 new_chain.append(comp)
                                 continue
-                            split_response = re.findall(
-                                self.regex,
-                                comp.text,
-                                re.DOTALL | re.MULTILINE,
-                            )
+                            try:
+                                split_response = re.findall(
+                                    self.regex,
+                                    comp.text,
+                                    re.DOTALL | re.MULTILINE,
+                                )
+                            except re.error:
+                                logger.error(
+                                    f"分段回复正则表达式错误，使用默认分段方式: {traceback.format_exc()}",
+                                )
+                                split_response = re.findall(
+                                    r".*?[。？！~…]+|.+$",
+                                    comp.text,
+                                    re.DOTALL | re.MULTILINE,
+                                )
                             if not split_response:
                                 new_chain.append(comp)
                                 continue

astrbot/core/platform/manager.py

@@ -6,7 +6,7 @@ from astrbot.core import logger
 from astrbot.core.config.astrbot_config import AstrBotConfig
 from astrbot.core.star.star_handler import EventType, star_handlers_registry, star_map
 
-from .platform import Platform
+from .platform import Platform, PlatformStatus
 from .register import platform_cls_map
 from .sources.webchat.webchat_adapter import WebChatAdapter
 
@@ -16,7 +16,7 @@ class PlatformManager:
         self.platform_insts: list[Platform] = []
         """加载的 Platform 的实例"""
 
-        self._inst_map = {}
+        self._inst_map: dict[str, dict] = {}
 
         self.platforms_config = config["platform"]
         self.settings = config["platform_settings"]
@@ -37,7 +37,10 @@ class PlatformManager:
         webchat_inst = WebChatAdapter({}, self.settings, self.event_queue)
         self.platform_insts.append(webchat_inst)
         asyncio.create_task(
-            self._task_wrapper(asyncio.create_task(webchat_inst.run(), name="webchat")),
+            self._task_wrapper(
+                asyncio.create_task(webchat_inst.run(), name="webchat"),
+                platform=webchat_inst,
+            ),
         )
 
     async def load_platform(self, platform_config: dict):
@@ -107,7 +110,7 @@ class PlatformManager:
                     )
         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。",
+                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->平台日志->安装Pip库 中安装依赖库。",
             )
         except Exception as e:
             logger.error(f"加载平台适配器 {platform_config['type']} 失败，原因：{e}。")
@@ -131,6 +134,7 @@ class PlatformManager:
                     inst.run(),
                     name=f"platform_{platform_config['type']}_{platform_config['id']}",
                 ),
+                platform=inst,
             ),
         )
         handlers = star_handlers_registry.get_handlers_by_event_type(
@@ -145,17 +149,28 @@ class PlatformManager:
             except Exception:
                 logger.error(traceback.format_exc())
 
-    async def _task_wrapper(self, task: asyncio.Task):
+    async def _task_wrapper(self, task: asyncio.Task, platform: Platform | None = None):
+        # 设置平台状态为运行中
+        if platform:
+            platform.status = PlatformStatus.RUNNING
+
         try:
             await task
         except asyncio.CancelledError:
-            pass
+            if platform:
+                platform.status = PlatformStatus.STOPPED
         except Exception as e:
+            error_msg = str(e)
+            tb_str = traceback.format_exc()
             logger.error(f"------- 任务 {task.get_name()} 发生错误: {e}")
-            for line in traceback.format_exc().split("\n"):
+            for line in tb_str.split("\n"):
                 logger.error(f"|    {line}")
             logger.error("-------")
 
+            # 记录错误到平台实例
+            if platform:
+                platform.record_error(error_msg, tb_str)
+
     async def reload(self, platform_config: dict):
         await self.terminate_platform(platform_config["id"])
         if platform_config["enable"]:
@@ -172,9 +187,9 @@ class PlatformManager:
             logger.info(f"正在尝试终止 {platform_id} 平台适配器 ...")
 
             # client_id = self._inst_map.pop(platform_id, None)
-            info = self._inst_map.pop(platform_id, None)
+            info = self._inst_map.pop(platform_id)
             client_id = info["client_id"]
-            inst = info["inst"]
+            inst: Platform = info["inst"]
             try:
                 self.platform_insts.remove(
                     next(
@@ -196,3 +211,46 @@ class PlatformManager:
 
     def get_insts(self):
         return self.platform_insts
+
+    def get_all_stats(self) -> dict:
+        """获取所有平台的统计信息
+
+        Returns:
+            包含所有平台统计信息的字典
+        """
+        stats_list = []
+        total_errors = 0
+        running_count = 0
+        error_count = 0
+
+        for inst in self.platform_insts:
+            try:
+                stat = inst.get_stats()
+                stats_list.append(stat)
+                total_errors += stat.get("error_count", 0)
+                if stat.get("status") == PlatformStatus.RUNNING.value:
+                    running_count += 1
+                elif stat.get("status") == PlatformStatus.ERROR.value:
+                    error_count += 1
+            except Exception as e:
+                # 如果获取统计信息失败，记录基本信息
+                logger.warning(f"获取平台统计信息失败: {e}")
+                stats_list.append(
+                    {
+                        "id": getattr(inst, "config", {}).get("id", "unknown"),
+                        "type": "unknown",
+                        "status": "unknown",
+                        "error_count": 0,
+                        "last_error": None,
+                    }
+                )
+
+        return {
+            "platforms": stats_list,
+            "summary": {
+                "total": len(stats_list),
+                "running": running_count,
+                "error": error_count,
+                "total_errors": total_errors,
+            },
+        }

astrbot/core/platform/platform.py

@@ -2,6 +2,9 @@ import abc
 import uuid
 from asyncio import Queue
 from collections.abc import Awaitable
+from dataclasses import dataclass, field
+from datetime import datetime
+from enum import Enum
 from typing import Any
 
 from astrbot.core.message.message_event_result import MessageChain
@@ -12,13 +15,90 @@ from .message_session import MessageSesion
 from .platform_metadata import PlatformMetadata
 
 
+class PlatformStatus(Enum):
+    """平台运行状态"""
+
+    PENDING = "pending"  # 待启动
+    RUNNING = "running"  # 运行中
+    ERROR = "error"  # 发生错误
+    STOPPED = "stopped"  # 已停止
+
+
+@dataclass
+class PlatformError:
+    """平台错误信息"""
+
+    message: str
+    timestamp: datetime = field(default_factory=datetime.now)
+    traceback: str | None = None
+
+
 class Platform(abc.ABC):
-    def __init__(self, event_queue: Queue):
+    def __init__(self, config: dict, event_queue: Queue):
         super().__init__()
+        # 平台配置
+        self.config = config
         # 维护了消息平台的事件队列，EventBus 会从这里取出事件并处理。
         self._event_queue = event_queue
         self.client_self_id = uuid.uuid4().hex
 
+        # 平台运行状态
+        self._status: PlatformStatus = PlatformStatus.PENDING
+        self._errors: list[PlatformError] = []
+        self._started_at: datetime | None = None
+
+    @property
+    def status(self) -> PlatformStatus:
+        """获取平台运行状态"""
+        return self._status
+
+    @status.setter
+    def status(self, value: PlatformStatus):
+        """设置平台运行状态"""
+        self._status = value
+        if value == PlatformStatus.RUNNING and self._started_at is None:
+            self._started_at = datetime.now()
+
+    @property
+    def errors(self) -> list[PlatformError]:
+        """获取错误列表"""
+        return self._errors
+
+    @property
+    def last_error(self) -> PlatformError | None:
+        """获取最近的错误"""
+        return self._errors[-1] if self._errors else None
+
+    def record_error(self, message: str, traceback_str: str | None = None):
+        """记录一个错误"""
+        self._errors.append(PlatformError(message=message, traceback=traceback_str))
+        self._status = PlatformStatus.ERROR
+
+    def clear_errors(self):
+        """清除错误记录"""
+        self._errors.clear()
+        if self._status == PlatformStatus.ERROR:
+            self._status = PlatformStatus.RUNNING
+
+    def get_stats(self) -> dict:
+        """获取平台统计信息"""
+        meta = self.meta()
+        return {
+            "id": meta.id or self.config.get("id"),
+            "type": meta.name,
+            "display_name": meta.adapter_display_name or meta.name,
+            "status": self._status.value,
+            "started_at": self._started_at.isoformat() if self._started_at else None,
+            "error_count": len(self._errors),
+            "last_error": {
+                "message": self.last_error.message,
+                "timestamp": self.last_error.timestamp.isoformat(),
+                "traceback": self.last_error.traceback,
+            }
+            if self.last_error
+            else None,
+        }
+
     @abc.abstractmethod
     def run(self) -> Awaitable[Any]:
         """得到一个平台的运行实例，需要返回一个协程对象。"""
@@ -36,7 +116,7 @@ class Platform(abc.ABC):
         self,
         session: MessageSesion,
         message_chain: MessageChain,
-    ) -> Awaitable[Any]:
+    ):
         """通过会话发送消息。该方法旨在让插件能够直接通过**可持久化的会话数据**发送消息，而不需要保存 event 对象。
 
         异步方法。
@@ -49,3 +129,20 @@ class Platform(abc.ABC):
 
     def get_client(self):
         """获取平台的客户端对象。"""
+
+    async def webhook_callback(self, request: Any) -> Any:
+        """统一 Webhook 回调入口。
+
+        支持统一 Webhook 模式的平台需要实现此方法。
+        当 Dashboard 收到 /api/platform/webhook/{uuid} 请求时，会调用此方法。
+
+        Args:
+            request: Quart 请求对象
+
+        Returns:
+            响应内容，格式取决于具体平台的要求
+
+        Raises:
+            NotImplementedError: 平台未实现统一 Webhook 模式
+        """
+        raise NotImplementedError(f"平台 {self.meta().name} 未实现统一 Webhook 模式")

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

@@ -38,9 +38,8 @@ class AiocqhttpAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
+        super().__init__(platform_config, event_queue)
 
-        self.config = platform_config
         self.settings = platform_settings
         self.unique_session = platform_settings["unique_session"]
         self.host = platform_config["ws_reverse_host"]
@@ -154,7 +153,9 @@ class AiocqhttpAdapter(Platform):
         """OneBot V11 通知类事件"""
         abm = AstrBotMessage()
         abm.self_id = str(event.self_id)
-        abm.sender = MessageMember(user_id=str(event.user_id), nickname=event.user_id)
+        abm.sender = MessageMember(
+            user_id=str(event.user_id), nickname=str(event.user_id)
+        )
         abm.type = MessageType.OTHER_MESSAGE
         if event.get("group_id"):
             abm.group_id = str(event.group_id)
@@ -246,7 +247,13 @@ class AiocqhttpAdapter(Platform):
                     if m["data"].get("url") and m["data"].get("url").startswith("http"):
                         # Lagrange
                         logger.info("guessing lagrange")
-                        file_name = m["data"].get("file_name", "file")
+                        # 检查多个可能的文件名字段
+                        file_name = (
+                            m["data"].get("file_name", "")
+                            or m["data"].get("name", "")
+                            or m["data"].get("file", "")
+                            or "file"
+                        )
                         abm.message.append(File(name=file_name, url=m["data"]["url"]))
                     else:
                         try:
@@ -265,7 +272,14 @@ class AiocqhttpAdapter(Platform):
                                 )
                             if ret and "url" in ret:
                                 file_url = ret["url"]  # https
-                                a = File(name="", url=file_url)
+                                # 优先从 API 返回值获取文件名，其次从原始消息数据获取
+                                file_name = (
+                                    ret.get("file_name", "")
+                                    or ret.get("name", "")
+                                    or m["data"].get("file", "")
+                                    or m["data"].get("file_name", "")
+                                )
+                                a = File(name=file_name, url=file_url)
                                 abm.message.append(a)
                             else:
                                 logger.error(f"获取文件失败: {ret}")

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

@@ -47,9 +47,7 @@ class DingtalkPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
 
         self.unique_session = platform_settings["unique_session"]
 
@@ -76,13 +74,13 @@ class DingtalkPlatformAdapter(Platform):
         )
         self.client_ = client  # 用于 websockets 的 client
 
-    def _id_to_sid(self, dingtalk_id: str | None) -> str | None:
+    def _id_to_sid(self, dingtalk_id: str | None) -> str:
         if not dingtalk_id:
-            return dingtalk_id
+            return dingtalk_id or "unknown"
         prefix = "$:LWCP_v1:$"
         if dingtalk_id.startswith(prefix):
             return dingtalk_id[len(prefix) :]
-        return dingtalk_id
+        return dingtalk_id or "unknown"
 
     async def send_by_session(
         self,
@@ -250,7 +248,7 @@ class DingtalkPlatformAdapter(Platform):
 
     async def terminate(self):
         def monkey_patch_close():
-            raise Exception("Graceful shutdown")
+            raise KeyboardInterrupt("Graceful shutdown")
 
         self.client_.open_connection = monkey_patch_close
         await self.client_.websocket.close(code=1000, reason="Graceful shutdown")

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

@@ -44,8 +44,7 @@ class DiscordPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
         self.settings = platform_settings
         self.client_self_id = None
         self.registered_handlers = []

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

@@ -33,9 +33,7 @@ class LarkPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
 
         self.unique_session = platform_settings["unique_session"]
 

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

@@ -55,8 +55,7 @@ class MisskeyPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-        self.config = platform_config or {}
+        super().__init__(platform_config or {}, event_queue)
         self.settings = platform_settings or {}
         self.instance_url = self.config.get("misskey_instance_url", "")
         self.access_token = self.config.get("misskey_token", "")

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

@@ -69,6 +69,8 @@ class QQOfficialMessageEvent(AstrMessageEvent):
                 # 结束流式对话，并且传输 buffer 中剩余的消息
                 stream_payload["state"] = 10
                 ret = await self._post_send(stream=stream_payload)
+            else:
+                ret = await self._post_send()
 
         except Exception as e:
             logger.error(f"发送流式消息时出错: {e}", exc_info=True)

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

@@ -97,9 +97,7 @@ class QQOfficialPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
 
         self.appid = platform_config["appid"]
         self.secret = platform_config["secret"]

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

@@ -1,5 +1,6 @@
 import asyncio
 import logging
+from typing import Any
 
 import botpy
 import botpy.message
@@ -11,6 +12,7 @@ from astrbot import logger
 from astrbot.api.event import MessageChain
 from astrbot.api.platform import AstrBotMessage, MessageType, Platform, PlatformMetadata
 from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.core.utils.webhook_utils import log_webhook_info
 
 from ...register import register_platform_adapter
 from ..qqofficial.qqofficial_platform_adapter import QQOfficialPlatformAdapter
@@ -87,13 +89,12 @@ class QQOfficialWebhookPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
 
         self.appid = platform_config["appid"]
         self.secret = platform_config["secret"]
         self.unique_session = platform_settings["unique_session"]
+        self.unified_webhook_mode = platform_config.get("unified_webhook_mode", False)
 
         intents = botpy.Intents(
             public_messages=True,
@@ -106,6 +107,7 @@ class QQOfficialWebhookPlatformAdapter(Platform):
             timeout=20,
         )
         self.client.set_platform(self)
+        self.webhook_helper = None
 
     async def send_by_session(
         self,
@@ -128,16 +130,37 @@ class QQOfficialWebhookPlatformAdapter(Platform):
             self.client,
         )
         await self.webhook_helper.initialize()
-        await self.webhook_helper.start_polling()
+
+        # 如果启用统一 webhook 模式，则不启动独立服务器
+        webhook_uuid = self.config.get("webhook_uuid")
+        if self.unified_webhook_mode and webhook_uuid:
+            log_webhook_info(f"{self.meta().id}(QQ 官方机器人 Webhook)", webhook_uuid)
+            # 保持运行状态，等待 shutdown
+            await self.webhook_helper.shutdown_event.wait()
+        else:
+            await self.webhook_helper.start_polling()
 
     def get_client(self) -> botClient:
         return self.client
 
+    async def webhook_callback(self, request: Any) -> Any:
+        """统一 Webhook 回调入口"""
+        if not self.webhook_helper:
+            return {"error": "Webhook helper not initialized"}, 500
+
+        # 复用 webhook_helper 的回调处理逻辑
+        return await self.webhook_helper.handle_callback(request)
+
     async def terminate(self):
-        self.webhook_helper.shutdown_event.set()
+        if self.webhook_helper:
+            self.webhook_helper.shutdown_event.set()
         await self.client.close()
-        try:
-            await self.webhook_helper.server.shutdown()
-        except Exception as _:
-            pass
+        if self.webhook_helper and not self.unified_webhook_mode:
+            try:
+                await self.webhook_helper.server.shutdown()
+            except Exception as exc:
+                logger.warning(
+                    f"Exception occurred during QQOfficialWebhook server shutdown: {exc}",
+                    exc_info=True,
+                )
         logger.info("QQ 机器人官方 API 适配器已经被优雅地关闭")

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

@@ -78,7 +78,19 @@ class QQOfficialWebhook:
         return response
 
     async def callback(self):
-        msg: dict = await quart.request.json
+        """内部服务器的回调入口"""
+        return await self.handle_callback(quart.request)
+
+    async def handle_callback(self, request) -> dict:
+        """处理 webhook 回调，可被统一 webhook 入口复用
+
+        Args:
+            request: Quart 请求对象
+
+        Returns:
+            响应数据
+        """
+        msg: dict = await request.json
         logger.debug(f"收到 qq_official_webhook 回调: {msg}")
 
         event = msg.get("t")

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

@@ -38,8 +38,7 @@ class SatoriPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
         self.settings = platform_settings
 
         self.api_base_url = self.config.get(

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

@@ -47,51 +47,62 @@ class SlackWebhookClient:
 
         @self.app.route(self.path, methods=["POST"])
         async def slack_events():
-            """处理 Slack 事件"""
-            try:
-                # 获取请求体和头部
-                body = await request.get_data()
-                event_data = json.loads(body.decode("utf-8"))
-
-                # Verify Slack request signature
-                timestamp = request.headers.get("X-Slack-Request-Timestamp")
-                signature = request.headers.get("X-Slack-Signature")
-                if not timestamp or not signature:
-                    return Response("Missing headers", status=400)
-                # Calculate the HMAC signature
-                sig_basestring = f"v0:{timestamp}:{body.decode('utf-8')}"
-                my_signature = (
-                    "v0="
-                    + hmac.new(
-                        self.signing_secret.encode("utf-8"),
-                        sig_basestring.encode("utf-8"),
-                        hashlib.sha256,
-                    ).hexdigest()
-                )
-                # Verify the signature
-                if not hmac.compare_digest(my_signature, signature):
-                    logger.warning("Slack request signature verification failed")
-                    return Response("Invalid signature", status=400)
-                logger.info(f"Received Slack event: {event_data}")
-
-                # 处理 URL 验证事件
-                if event_data.get("type") == "url_verification":
-                    return {"challenge": event_data.get("challenge")}
-                # 处理事件
-                if self.event_handler and event_data.get("type") == "event_callback":
-                    await self.event_handler(event_data)
-
-                return Response("", status=200)
-
-            except Exception as e:
-                logger.error(f"处理 Slack 事件时出错: {e}")
-                return Response("Internal Server Error", status=500)
+            """内部服务器的 POST 回调入口"""
+            return await self.handle_callback(request)
 
         @self.app.route("/health", methods=["GET"])
         async def health_check():
             """健康检查端点"""
             return {"status": "ok", "service": "slack-webhook"}
 
+    async def handle_callback(self, req):
+        """处理 Slack 回调请求，可被统一 webhook 入口复用
+
+        Args:
+            req: Quart 请求对象
+
+        Returns:
+            Response 对象或字典
+        """
+        try:
+            # 获取请求体和头部
+            body = await req.get_data()
+            event_data = json.loads(body.decode("utf-8"))
+
+            # Verify Slack request signature
+            timestamp = req.headers.get("X-Slack-Request-Timestamp")
+            signature = req.headers.get("X-Slack-Signature")
+            if not timestamp or not signature:
+                return Response("Missing headers", status=400)
+            # Calculate the HMAC signature
+            sig_basestring = f"v0:{timestamp}:{body.decode('utf-8')}"
+            my_signature = (
+                "v0="
+                + hmac.new(
+                    self.signing_secret.encode("utf-8"),
+                    sig_basestring.encode("utf-8"),
+                    hashlib.sha256,
+                ).hexdigest()
+            )
+            # Verify the signature
+            if not hmac.compare_digest(my_signature, signature):
+                logger.warning("Slack request signature verification failed")
+                return Response("Invalid signature", status=400)
+            logger.info(f"Received Slack event: {event_data}")
+
+            # 处理 URL 验证事件
+            if event_data.get("type") == "url_verification":
+                return {"challenge": event_data.get("challenge")}
+            # 处理事件
+            if self.event_handler and event_data.get("type") == "event_callback":
+                await self.event_handler(event_data)
+
+            return Response("", status=200)
+
+        except Exception as e:
+            logger.error(f"处理 Slack 事件时出错: {e}")
+            return Response("Internal Server Error", status=500)
+
     async def start(self):
         """启动 Webhook 服务器"""
         logger.info(

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

@@ -21,6 +21,7 @@ from astrbot.api.platform import (
     PlatformMetadata,
 )
 from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.core.utils.webhook_utils import log_webhook_info
 
 from ...register import register_platform_adapter
 from .client import SlackSocketClient, SlackWebhookClient
@@ -39,9 +40,7 @@ class SlackAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
         self.settings = platform_settings
         self.unique_session = platform_settings.get("unique_session", False)
 
@@ -49,6 +48,7 @@ class SlackAdapter(Platform):
         self.app_token = platform_config.get("app_token")
         self.signing_secret = platform_config.get("signing_secret")
         self.connection_mode = platform_config.get("slack_connection_mode", "socket")
+        self.unified_webhook_mode = platform_config.get("unified_webhook_mode", False)
         self.webhook_host = platform_config.get("slack_webhook_host", "0.0.0.0")
         self.webhook_port = platform_config.get("slack_webhook_port", 3000)
         self.webhook_path = platform_config.get(
@@ -361,10 +361,17 @@ class SlackAdapter(Platform):
                 self._handle_webhook_event,
             )
 
-            logger.info(
-                f"Slack 适配器 (Webhook Mode) 启动中，监听 {self.webhook_host}:{self.webhook_port}{self.webhook_path}...",
-            )
-            await self.webhook_client.start()
+            # 如果启用统一 webhook 模式，则不启动独立服务器
+            webhook_uuid = self.config.get("webhook_uuid")
+            if self.unified_webhook_mode and webhook_uuid:
+                log_webhook_info(f"{self.meta().id}(Slack)", webhook_uuid)
+                # 保持运行状态，等待 shutdown
+                await self.webhook_client.shutdown_event.wait()
+            else:
+                logger.info(
+                    f"Slack 适配器 (Webhook Mode) 启动中，监听 {self.webhook_host}:{self.webhook_port}{self.webhook_path}...",
+                )
+                await self.webhook_client.start()
 
         else:
             raise ValueError(
@@ -391,6 +398,13 @@ class SlackAdapter(Platform):
             if abm:
                 await self.handle_msg(abm)
 
+    async def webhook_callback(self, request: Any) -> Any:
+        """统一 Webhook 回调入口"""
+        if self.connection_mode != "webhook" or not self.webhook_client:
+            return {"error": "Slack adapter is not in webhook mode"}, 400
+
+        return await self.webhook_client.handle_callback(request)
+
     async def terminate(self):
         if self.socket_client:
             await self.socket_client.stop()

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

@@ -31,7 +31,7 @@ class SlackMessageEvent(AstrMessageEvent):
     async def _from_segment_to_slack_block(
         segment: BaseMessageComponent,
         web_client: AsyncWebClient,
-    ) -> dict:
+    ) -> dict | None:
         """将消息段转换为 Slack 块格式"""
         if isinstance(segment, Plain):
             return {"type": "section", "text": {"type": "mrkdwn", "text": segment.text}}
@@ -85,7 +85,6 @@ class SlackMessageEvent(AstrMessageEvent):
                     "text": f"文件: <{file_url}|{segment.name or '文件'}>",
                 },
             }
-        return {"type": "section", "text": {"type": "mrkdwn", "text": str(segment)}}
 
     @staticmethod
     async def _parse_slack_blocks(
@@ -115,7 +114,8 @@ class SlackMessageEvent(AstrMessageEvent):
                     segment,
                     web_client,
                 )
-                blocks.append(block)
+                if block:
+                    blocks.append(block)
 
         # 如果最后还有文本内容
         if text_content.strip():

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

@@ -42,8 +42,7 @@ class TelegramPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
         self.settings = platform_settings
         self.client_self_id = uuid.uuid4().hex[:8]
 
@@ -381,7 +380,9 @@ class TelegramPlatformAdapter(Platform):
                     f"Telegram document file_path is None, cannot save the file {file_name}.",
                 )
             else:
-                message.message.append(Comp.File(file=file_path, name=file_name))
+                message.message.append(
+                    Comp.File(file=file_path, name=file_name, url=file_path)
+                )
 
         elif update.message.video:
             file = await update.message.video.get_file()

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

@@ -6,7 +6,9 @@ from collections.abc import Awaitable, Callable
 from typing import Any
 
 from astrbot import logger
-from astrbot.core.message.components import Image, Plain, Record
+from astrbot.core import db_helper
+from astrbot.core.db.po import PlatformMessageHistory
+from astrbot.core.message.components import File, Image, Plain, Record, Reply, Video
 from astrbot.core.message.message_event_result import MessageChain
 from astrbot.core.platform import (
     AstrBotMessage,
@@ -74,9 +76,8 @@ class WebChatAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
+        super().__init__(platform_config, event_queue)
 
-        self.config = platform_config
         self.settings = platform_settings
         self.unique_session = platform_settings["unique_session"]
         self.imgs_dir = os.path.join(get_astrbot_data_path(), "webchat", "imgs")
@@ -96,6 +97,92 @@ class WebChatAdapter(Platform):
         await WebChatMessageEvent._send(message_chain, session.session_id)
         await super().send_by_session(session, message_chain)
 
+    async def _get_message_history(
+        self, message_id: int
+    ) -> PlatformMessageHistory | None:
+        return await db_helper.get_platform_message_history_by_id(message_id)
+
+    async def _parse_message_parts(
+        self,
+        message_parts: list,
+        depth: int = 0,
+        max_depth: int = 1,
+    ) -> tuple[list, list[str]]:
+        """解析消息段列表，返回消息组件列表和纯文本列表
+
+        Args:
+            message_parts: 消息段列表
+            depth: 当前递归深度
+            max_depth: 最大递归深度（用于处理 reply）
+
+        Returns:
+            tuple[list, list[str]]: (消息组件列表, 纯文本列表)
+        """
+        components = []
+        text_parts = []
+
+        for part in message_parts:
+            part_type = part.get("type")
+            if part_type == "plain":
+                text = part.get("text", "")
+                components.append(Plain(text))
+                text_parts.append(text)
+            elif part_type == "reply":
+                message_id = part.get("message_id")
+                reply_chain = []
+                reply_message_str = ""
+                sender_id = None
+                sender_name = None
+
+                # recursively get the content of the referenced message
+                if depth < max_depth and message_id:
+                    history = await self._get_message_history(message_id)
+                    if history and history.content:
+                        reply_parts = history.content.get("message", [])
+                        if isinstance(reply_parts, list):
+                            (
+                                reply_chain,
+                                reply_text_parts,
+                            ) = await self._parse_message_parts(
+                                reply_parts,
+                                depth=depth + 1,
+                                max_depth=max_depth,
+                            )
+                            reply_message_str = "".join(reply_text_parts)
+                        sender_id = history.sender_id
+                        sender_name = history.sender_name
+
+                components.append(
+                    Reply(
+                        id=message_id,
+                        chain=reply_chain,
+                        message_str=reply_message_str,
+                        sender_id=sender_id,
+                        sender_nickname=sender_name,
+                    )
+                )
+            elif part_type == "image":
+                path = part.get("path")
+                if path:
+                    components.append(Image.fromFileSystem(path))
+            elif part_type == "record":
+                path = part.get("path")
+                if path:
+                    components.append(Record.fromFileSystem(path))
+            elif part_type == "file":
+                path = part.get("path")
+                if path:
+                    filename = part.get("filename") or (
+                        os.path.basename(path) if path else "file"
+                    )
+                    components.append(File(name=filename, file=path))
+            elif part_type == "video":
+                path = part.get("path")
+                if path:
+                    components.append(Video.fromFileSystem(path))
+
+        return components, text_parts
+
     async def convert_message(self, data: tuple) -> AstrBotMessage:
         username, cid, payload = data
 
@@ -108,36 +195,15 @@ class WebChatAdapter(Platform):
         abm.session_id = f"webchat!{username}!{cid}"
 
         abm.message_id = str(uuid.uuid4())
-        abm.message = []
 
-        if payload["message"]:
-            abm.message.append(Plain(payload["message"]))
-        if payload["image_url"]:
-            if isinstance(payload["image_url"], list):
-                for img in payload["image_url"]:
-                    abm.message.append(
-                        Image.fromFileSystem(os.path.join(self.imgs_dir, img)),
-                    )
-            else:
-                abm.message.append(
-                    Image.fromFileSystem(
-                        os.path.join(self.imgs_dir, payload["image_url"]),
-                    ),
-                )
-        if payload["audio_url"]:
-            if isinstance(payload["audio_url"], list):
-                for audio in payload["audio_url"]:
-                    path = os.path.join(self.imgs_dir, audio)
-                    abm.message.append(Record(file=path, path=path))
-            else:
-                path = os.path.join(self.imgs_dir, payload["audio_url"])
-                abm.message.append(Record(file=path, path=path))
+        # 处理消息段列表
+        message_parts = payload.get("message", [])
+        abm.message, message_str_parts = await self._parse_message_parts(message_parts)
 
         logger.debug(f"WebChatAdapter: {abm.message}")
 
-        message_str = payload["message"]
         abm.timestamp = int(time.time())
-        abm.message_str = message_str
+        abm.message_str = "".join(message_str_parts)
         abm.raw_message = data
         return abm
 

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

@@ -1,12 +1,12 @@
 import base64
 import os
+import shutil
 import uuid
 
 from astrbot.api import logger
 from astrbot.api.event import AstrMessageEvent, MessageChain
-from astrbot.api.message_components import Image, Plain, Record
+from astrbot.api.message_components import File, Image, Plain, Record
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
-from astrbot.core.utils.io import download_image_by_url
 
 from .webchat_queue_mgr import webchat_queue_mgr
 
@@ -19,7 +19,9 @@ class WebChatMessageEvent(AstrMessageEvent):
         os.makedirs(imgs_dir, exist_ok=True)
 
     @staticmethod
-    async def _send(message: MessageChain, session_id: str, streaming: bool = False):
+    async def _send(
+        message: MessageChain | None, session_id: str, streaming: bool = False
+    ) -> str | None:
         cid = session_id.split("!")[-1]
         web_chat_back_queue = webchat_queue_mgr.get_or_create_back_queue(cid)
         if not message:
@@ -30,7 +32,7 @@ class WebChatMessageEvent(AstrMessageEvent):
                     "streaming": False,
                 },  # end means this request is finished
             )
-            return ""
+            return
 
         data = ""
         for comp in message.chain:
@@ -47,24 +49,11 @@ class WebChatMessageEvent(AstrMessageEvent):
                 )
             elif isinstance(comp, Image):
                 # save image to local
-                filename = str(uuid.uuid4()) + ".jpg"
+                filename = f"{str(uuid.uuid4())}.jpg"
                 path = os.path.join(imgs_dir, filename)
-                if comp.file and comp.file.startswith("file:///"):
-                    ph = comp.file[8:]
-                    with open(path, "wb") as f:
-                        with open(ph, "rb") as f2:
-                            f.write(f2.read())
-                elif comp.file.startswith("base64://"):
-                    base64_str = comp.file[9:]
-                    image_data = base64.b64decode(base64_str)
-                    with open(path, "wb") as f:
-                        f.write(image_data)
-                elif comp.file and comp.file.startswith("http"):
-                    await download_image_by_url(comp.file, path=path)
-                else:
-                    with open(path, "wb") as f:
-                        with open(comp.file, "rb") as f2:
-                            f.write(f2.read())
+                image_base64 = await comp.convert_to_base64()
+                with open(path, "wb") as f:
+                    f.write(base64.b64decode(image_base64))
                 data = f"[IMAGE]{filename}"
                 await web_chat_back_queue.put(
                     {
@@ -76,19 +65,11 @@ class WebChatMessageEvent(AstrMessageEvent):
                 )
             elif isinstance(comp, Record):
                 # save record to local
-                filename = str(uuid.uuid4()) + ".wav"
+                filename = f"{str(uuid.uuid4())}.wav"
                 path = os.path.join(imgs_dir, filename)
-                if comp.file and comp.file.startswith("file:///"):
-                    ph = comp.file[8:]
-                    with open(path, "wb") as f:
-                        with open(ph, "rb") as f2:
-                            f.write(f2.read())
-                elif comp.file and comp.file.startswith("http"):
-                    await download_image_by_url(comp.file, path=path)
-                else:
-                    with open(path, "wb") as f:
-                        with open(comp.file, "rb") as f2:
-                            f.write(f2.read())
+                record_base64 = await comp.convert_to_base64()
+                with open(path, "wb") as f:
+                    f.write(base64.b64decode(record_base64))
                 data = f"[RECORD]{filename}"
                 await web_chat_back_queue.put(
                     {
@@ -98,6 +79,23 @@ class WebChatMessageEvent(AstrMessageEvent):
                         "streaming": streaming,
                     },
                 )
+            elif isinstance(comp, File):
+                # save file to local
+                file_path = await comp.get_file()
+                original_name = comp.name or os.path.basename(file_path)
+                ext = os.path.splitext(original_name)[1] or ""
+                filename = f"{uuid.uuid4()!s}{ext}"
+                dest_path = os.path.join(imgs_dir, filename)
+                shutil.copy2(file_path, dest_path)
+                data = f"[FILE]{filename}|{original_name}"
+                await web_chat_back_queue.put(
+                    {
+                        "type": "file",
+                        "cid": cid,
+                        "data": data,
+                        "streaming": streaming,
+                    },
+                )
             else:
                 logger.debug(f"webchat 忽略: {comp.type}")
 
@@ -131,6 +129,8 @@ class WebChatMessageEvent(AstrMessageEvent):
                 session_id=self.session_id,
                 streaming=True,
             )
+            if not r:
+                continue
             if chain.type == "reasoning":
                 reasoning_content += chain.get_plain_text()
             else:

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

@@ -42,10 +42,9 @@ class WeChatPadProAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
+        super().__init__(platform_config, event_queue)
         self._shutdown_event = None
         self.wxnewpass = None
-        self.config = platform_config
         self.settings = platform_settings
         self.unique_session = platform_settings.get("unique_session", False)
 

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

@@ -2,6 +2,7 @@ import asyncio
 import os
 import sys
 import uuid
+from typing import Any
 
 import quart
 from requests import Response
@@ -24,6 +25,7 @@ from astrbot.api.platform import (
 from astrbot.core import logger
 from astrbot.core.platform.astr_message_event import MessageSesion
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
+from astrbot.core.utils.webhook_utils import log_webhook_info
 
 from .wecom_event import WecomPlatformEvent
 from .wecom_kf import WeChatKF
@@ -62,8 +64,20 @@ class WecomServer:
         self.shutdown_event = asyncio.Event()
 
     async def verify(self):
-        logger.info(f"验证请求有效性: {quart.request.args}")
-        args = quart.request.args
+        """内部服务器的 GET 验证入口"""
+        return await self.handle_verify(quart.request)
+
+    async def handle_verify(self, request) -> str:
+        """处理验证请求，可被统一 webhook 入口复用
+
+        Args:
+            request: Quart 请求对象
+
+        Returns:
+            验证响应
+        """
+        logger.info(f"验证请求有效性: {request.args}")
+        args = request.args
         try:
             echo_str = self.crypto.check_signature(
                 args.get("msg_signature"),
@@ -78,10 +92,22 @@ class WecomServer:
             raise
 
     async def callback_command(self):
-        data = await quart.request.get_data()
-        msg_signature = quart.request.args.get("msg_signature")
-        timestamp = quart.request.args.get("timestamp")
-        nonce = quart.request.args.get("nonce")
+        """内部服务器的 POST 回调入口"""
+        return await self.handle_callback(quart.request)
+
+    async def handle_callback(self, request) -> str:
+        """处理回调请求，可被统一 webhook 入口复用
+
+        Args:
+            request: Quart 请求对象
+
+        Returns:
+            响应内容
+        """
+        data = await request.get_data()
+        msg_signature = request.args.get("msg_signature")
+        timestamp = request.args.get("timestamp")
+        nonce = request.args.get("nonce")
         try:
             xml = self.crypto.decrypt_message(data, msg_signature, timestamp, nonce)
         except InvalidSignatureException:
@@ -118,14 +144,14 @@ class WecomPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
         self.settingss = platform_settings
         self.client_self_id = uuid.uuid4().hex[:8]
         self.api_base_url = platform_config.get(
             "api_base_url",
             "https://qyapi.weixin.qq.com/cgi-bin/",
         )
+        self.unified_webhook_mode = platform_config.get("unified_webhook_mode", False)
 
         if not self.api_base_url:
             self.api_base_url = "https://qyapi.weixin.qq.com/cgi-bin/"
@@ -232,7 +258,23 @@ class WecomPlatformAdapter(Platform):
                     )
             except Exception as e:
                 logger.error(e)
-        await self.server.start_polling()
+
+        # 如果启用统一 webhook 模式，则不启动独立服务器
+        webhook_uuid = self.config.get("webhook_uuid")
+        if self.unified_webhook_mode and webhook_uuid:
+            log_webhook_info(f"{self.meta().id}(企业微信)", webhook_uuid)
+            # 保持运行状态，等待 shutdown
+            await self.server.shutdown_event.wait()
+        else:
+            await self.server.start_polling()
+
+    async def webhook_callback(self, request: Any) -> Any:
+        """统一 Webhook 回调入口"""
+        # 根据请求方法分发到不同的处理函数
+        if request.method == "GET":
+            return await self.server.handle_verify(request)
+        else:
+            return await self.server.handle_callback(request)
 
     async def convert_message(self, msg: BaseMessage) -> AstrBotMessage | None:
         abm = AstrBotMessage()

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

@@ -16,7 +16,7 @@ try:
     import pydub
 except Exception:
     logger.warning(
-        "检测到 pydub 库未安装，企业微信将无法语音收发。如需使用语音，请前往管理面板 -> 控制台 -> 安装 Pip 库安装 pydub。",
+        "检测到 pydub 库未安装，企业微信将无法语音收发。如需使用语音，请前往管理面板 -> 平台日志 -> 安装 Pip 库安装 pydub。",
     )
 
 

astrbot/core/platform/sources/wecom_ai_bot/wecomai_adapter.py

@@ -22,6 +22,7 @@ from astrbot.api.platform import (
     PlatformMetadata,
 )
 from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.core.utils.webhook_utils import log_webhook_info
 
 from ...register import register_platform_adapter
 from .wecomai_api import (
@@ -30,7 +31,7 @@ from .wecomai_api import (
     WecomAIBotStreamMessageBuilder,
 )
 from .wecomai_event import WecomAIBotMessageEvent
-from .wecomai_queue_mgr import WecomAIQueueMgr, wecomai_queue_mgr
+from .wecomai_queue_mgr import WecomAIQueueMgr
 from .wecomai_server import WecomAIBotServer
 from .wecomai_utils import (
     WecomAIBotConstants,
@@ -103,9 +104,7 @@ class WecomAIBotAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
         self.settings = platform_settings
 
         # 初始化配置参数
@@ -122,6 +121,7 @@ class WecomAIBotAdapter(Platform):
             "wecomaibot_friend_message_welcome_text",
             "",
         )
+        self.unified_webhook_mode = self.config.get("unified_webhook_mode", False)
 
         # 平台元数据
         self.metadata = PlatformMetadata(
@@ -144,9 +144,12 @@ class WecomAIBotAdapter(Platform):
         # 事件循环和关闭信号
         self.shutdown_event = asyncio.Event()
 
+        # 队列管理器
+        self.queue_mgr = WecomAIQueueMgr()
+
         # 队列监听器
         self.queue_listener = WecomAIQueueListener(
-            wecomai_queue_mgr,
+            self.queue_mgr,
             self._handle_queued_message,
         )
 
@@ -189,7 +192,7 @@ class WecomAIBotAdapter(Platform):
                     stream_id,
                     session_id,
                 )
-                wecomai_queue_mgr.set_pending_response(stream_id, callback_params)
+                self.queue_mgr.set_pending_response(stream_id, callback_params)
 
                 resp = WecomAIBotStreamMessageBuilder.make_text_stream(
                     stream_id,
@@ -207,7 +210,7 @@ class WecomAIBotAdapter(Platform):
         elif msgtype == "stream":
             # wechat server is requesting for updates of a stream
             stream_id = message_data["stream"]["id"]
-            if not wecomai_queue_mgr.has_back_queue(stream_id):
+            if not self.queue_mgr.has_back_queue(stream_id):
                 logger.error(f"Cannot find back queue for stream_id: {stream_id}")
 
                 # 返回结束标志，告诉微信服务器流已结束
@@ -222,7 +225,7 @@ class WecomAIBotAdapter(Platform):
                     callback_params["timestamp"],
                 )
                 return resp
-            queue = wecomai_queue_mgr.get_or_create_back_queue(stream_id)
+            queue = self.queue_mgr.get_or_create_back_queue(stream_id)
             if queue.empty():
                 logger.debug(
                     f"No new messages in back queue for stream_id: {stream_id}",
@@ -242,10 +245,9 @@ class WecomAIBotAdapter(Platform):
                 elif msg["type"] == "end":
                     # stream end
                     finish = True
-                    wecomai_queue_mgr.remove_queues(stream_id)
+                    self.queue_mgr.remove_queues(stream_id)
                     break
-                else:
-                    pass
+
             logger.debug(
                 f"Aggregated content: {latest_plain_content}, image: {len(image_base64)}, finish: {finish}",
             )
@@ -313,8 +315,8 @@ class WecomAIBotAdapter(Platform):
         session_id: str,
     ):
         """将消息放入队列进行异步处理"""
-        input_queue = wecomai_queue_mgr.get_or_create_queue(stream_id)
-        _ = wecomai_queue_mgr.get_or_create_back_queue(stream_id)
+        input_queue = self.queue_mgr.get_or_create_queue(stream_id)
+        _ = self.queue_mgr.get_or_create_back_queue(stream_id)
         message_payload = {
             "message_data": message_data,
             "callback_params": callback_params,
@@ -423,17 +425,34 @@ class WecomAIBotAdapter(Platform):
 
     def run(self) -> Awaitable[Any]:
         """运行适配器，同时启动HTTP服务器和队列监听器"""
-        logger.info("启动企业微信智能机器人适配器，监听 %s:%d", self.host, self.port)
 
         async def run_both():
-            # 同时运行HTTP服务器和队列监听器
-            await asyncio.gather(
-                self.server.start_server(),
-                self.queue_listener.run(),
-            )
+            # 如果启用统一 webhook 模式，则不启动独立服务器
+            webhook_uuid = self.config.get("webhook_uuid")
+            if self.unified_webhook_mode and webhook_uuid:
+                log_webhook_info(f"{self.meta().id}(企业微信智能机器人)", webhook_uuid)
+                # 只运行队列监听器
+                await self.queue_listener.run()
+            else:
+                logger.info(
+                    "启动企业微信智能机器人适配器，监听 %s:%d", self.host, self.port
+                )
+                # 同时运行HTTP服务器和队列监听器
+                await asyncio.gather(
+                    self.server.start_server(),
+                    self.queue_listener.run(),
+                )
 
         return run_both()
 
+    async def webhook_callback(self, request: Any) -> Any:
+        """统一 Webhook 回调入口"""
+        # 根据请求方法分发到不同的处理函数
+        if request.method == "GET":
+            return await self.server.handle_verify(request)
+        else:
+            return await self.server.handle_callback(request)
+
     async def terminate(self):
         """终止适配器"""
         logger.info("企业微信智能机器人适配器正在关闭...")
@@ -453,6 +472,7 @@ class WecomAIBotAdapter(Platform):
                 platform_meta=self.meta(),
                 session_id=message.session_id,
                 api_client=self.api_client,
+                queue_mgr=self.queue_mgr,
             )
 
             self.commit_event(message_event)

astrbot/core/platform/sources/wecom_ai_bot/wecomai_event.py

@@ -8,7 +8,7 @@ from astrbot.api.message_components import (
 )
 
 from .wecomai_api import WecomAIBotAPIClient
-from .wecomai_queue_mgr import wecomai_queue_mgr
+from .wecomai_queue_mgr import WecomAIQueueMgr
 
 
 class WecomAIBotMessageEvent(AstrMessageEvent):
@@ -21,6 +21,7 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
         platform_meta,
         session_id: str,
         api_client: WecomAIBotAPIClient,
+        queue_mgr: WecomAIQueueMgr,
     ):
         """初始化消息事件
 
@@ -34,14 +35,16 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
         """
         super().__init__(message_str, message_obj, platform_meta, session_id)
         self.api_client = api_client
+        self.queue_mgr = queue_mgr
 
     @staticmethod
     async def _send(
         message_chain: MessageChain,
         stream_id: str,
+        queue_mgr: WecomAIQueueMgr,
         streaming: bool = False,
     ):
-        back_queue = wecomai_queue_mgr.get_or_create_back_queue(stream_id)
+        back_queue = queue_mgr.get_or_create_back_queue(stream_id)
 
         if not message_chain:
             await back_queue.put(
@@ -94,7 +97,7 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
             "wecom_ai_bot platform event raw_message should be a dict"
         )
         stream_id = raw.get("stream_id", self.session_id)
-        await WecomAIBotMessageEvent._send(message, stream_id)
+        await WecomAIBotMessageEvent._send(message, stream_id, self.queue_mgr)
         await super().send(message)
 
     async def send_streaming(self, generator, use_fallback=False):
@@ -105,7 +108,7 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
             "wecom_ai_bot platform event raw_message should be a dict"
         )
         stream_id = raw.get("stream_id", self.session_id)
-        back_queue = wecomai_queue_mgr.get_or_create_back_queue(stream_id)
+        back_queue = self.queue_mgr.get_or_create_back_queue(stream_id)
 
         # 企业微信智能机器人不支持增量发送，因此我们需要在这里将增量内容累积起来，积累发送
         increment_plain = ""
@@ -134,6 +137,7 @@ class WecomAIBotMessageEvent(AstrMessageEvent):
             final_data += await WecomAIBotMessageEvent._send(
                 chain,
                 stream_id=stream_id,
+                queue_mgr=self.queue_mgr,
                 streaming=True,
             )
 

astrbot/core/platform/sources/wecom_ai_bot/wecomai_queue_mgr.py

@@ -151,7 +151,3 @@ class WecomAIQueueMgr:
             "output_queues": len(self.back_queues),
             "pending_responses": len(self.pending_responses),
         }
-
-
-# 全局队列管理器实例
-wecomai_queue_mgr = WecomAIQueueMgr()

astrbot/core/platform/sources/wecom_ai_bot/wecomai_server.py

@@ -59,8 +59,19 @@ class WecomAIBotServer:
         )
 
     async def verify_url(self):
-        """验证回调 URL"""
-        args = quart.request.args
+        """内部服务器的 GET 验证入口"""
+        return await self.handle_verify(quart.request)
+
+    async def handle_verify(self, request):
+        """处理 URL 验证请求，可被统一 webhook 入口复用
+
+        Args:
+            request: Quart 请求对象
+
+        Returns:
+            验证响应元组 (content, status_code, headers)
+        """
+        args = request.args
         msg_signature = args.get("msg_signature")
         timestamp = args.get("timestamp")
         nonce = args.get("nonce")
@@ -81,8 +92,19 @@ class WecomAIBotServer:
         return result, 200, {"Content-Type": "text/plain"}
 
     async def handle_message(self):
-        """处理消息回调"""
-        args = quart.request.args
+        """内部服务器的 POST 消息回调入口"""
+        return await self.handle_callback(quart.request)
+
+    async def handle_callback(self, request):
+        """处理消息回调，可被统一 webhook 入口复用
+
+        Args:
+            request: Quart 请求对象
+
+        Returns:
+            响应元组 (content, status_code, headers)
+        """
+        args = request.args
         msg_signature = args.get("msg_signature")
         timestamp = args.get("timestamp")
         nonce = args.get("nonce")
@@ -102,7 +124,7 @@ class WecomAIBotServer:
 
         try:
             # 获取请求体
-            post_data = await quart.request.get_data()
+            post_data = await request.get_data()
 
             # 确保 post_data 是 bytes 类型
             if isinstance(post_data, str):

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

@@ -1,6 +1,7 @@
 import asyncio
 import sys
 import uuid
+from typing import Any
 
 import quart
 from requests import Response
@@ -22,6 +23,7 @@ from astrbot.api.platform import (
 )
 from astrbot.core import logger
 from astrbot.core.platform.astr_message_event import MessageSesion
+from astrbot.core.utils.webhook_utils import log_webhook_info
 
 from .weixin_offacc_event import WeixinOfficialAccountPlatformEvent
 
@@ -31,7 +33,7 @@ else:
     from typing_extensions import override
 
 
-class WecomServer:
+class WeixinOfficialAccountServer:
     def __init__(self, event_queue: asyncio.Queue, config: dict):
         self.server = quart.Quart(__name__)
         self.port = int(config.get("port"))
@@ -57,9 +59,21 @@ class WecomServer:
         self.shutdown_event = asyncio.Event()
 
     async def verify(self):
-        logger.info(f"验证请求有效性: {quart.request.args}")
+        """内部服务器的 GET 验证入口"""
+        return await self.handle_verify(quart.request)
 
-        args = quart.request.args
+    async def handle_verify(self, request) -> str:
+        """处理验证请求，可被统一 webhook 入口复用
+
+        Args:
+            request: Quart 请求对象
+
+        Returns:
+            验证响应
+        """
+        logger.info(f"验证请求有效性: {request.args}")
+
+        args = request.args
         if not args.get("signature", None):
             logger.error("未知的响应，请检查回调地址是否填写正确。")
             return "err"
@@ -77,10 +91,22 @@ class WecomServer:
             return "err"
 
     async def callback_command(self):
-        data = await quart.request.get_data()
-        msg_signature = quart.request.args.get("msg_signature")
-        timestamp = quart.request.args.get("timestamp")
-        nonce = quart.request.args.get("nonce")
+        """内部服务器的 POST 回调入口"""
+        return await self.handle_callback(quart.request)
+
+    async def handle_callback(self, request) -> str:
+        """处理回调请求，可被统一 webhook 入口复用
+
+        Args:
+            request: Quart 请求对象
+
+        Returns:
+            响应内容
+        """
+        data = await request.get_data()
+        msg_signature = request.args.get("msg_signature")
+        timestamp = request.args.get("timestamp")
+        nonce = request.args.get("nonce")
         try:
             xml = self.crypto.decrypt_message(data, msg_signature, timestamp, nonce)
         except InvalidSignatureException:
@@ -123,8 +149,7 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
         platform_settings: dict,
         event_queue: asyncio.Queue,
     ) -> None:
-        super().__init__(event_queue)
-        self.config = platform_config
+        super().__init__(platform_config, event_queue)
         self.settingss = platform_settings
         self.client_self_id = uuid.uuid4().hex[:8]
         self.api_base_url = platform_config.get(
@@ -132,6 +157,7 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
             "https://api.weixin.qq.com/cgi-bin/",
         )
         self.active_send_mode = self.config.get("active_send_mode", False)
+        self.unified_webhook_mode = platform_config.get("unified_webhook_mode", False)
 
         if not self.api_base_url:
             self.api_base_url = "https://api.weixin.qq.com/cgi-bin/"
@@ -143,7 +169,7 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
         if not self.api_base_url.endswith("/"):
             self.api_base_url += "/"
 
-        self.server = WecomServer(self._event_queue, self.config)
+        self.server = WeixinOfficialAccountServer(self._event_queue, self.config)
 
         self.client = WeChatClient(
             self.config["appid"].strip(),
@@ -202,7 +228,22 @@ class WeixinOfficialAccountPlatformAdapter(Platform):
 
     @override
     async def run(self):
-        await self.server.start_polling()
+        # 如果启用统一 webhook 模式，则不启动独立服务器
+        webhook_uuid = self.config.get("webhook_uuid")
+        if self.unified_webhook_mode and webhook_uuid:
+            log_webhook_info(f"{self.meta().id}(微信公众平台)", webhook_uuid)
+            # 保持运行状态，等待 shutdown
+            await self.server.shutdown_event.wait()
+        else:
+            await self.server.start_polling()
+
+    async def webhook_callback(self, request: Any) -> Any:
+        """统一 Webhook 回调入口"""
+        # 根据请求方法分发到不同的处理函数
+        if request.method == "GET":
+            return await self.server.handle_verify(request)
+        else:
+            return await self.server.handle_callback(request)
 
     async def convert_message(
         self,

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

@@ -13,7 +13,7 @@ try:
     import pydub
 except Exception:
     logger.warning(
-        "检测到 pydub 库未安装，微信公众平台将无法语音收发。如需使用语音，请前往管理面板 -> 控制台 -> 安装 Pip 库安装 pydub。",
+        "检测到 pydub 库未安装，微信公众平台将无法语音收发。如需使用语音，请前往管理面板 -> 平台日志 -> 安装 Pip 库安装 pydub。",
     )
 
 

astrbot/core/platform_message_history_mgr.py

@@ -10,12 +10,12 @@ class PlatformMessageHistoryManager:
         self,
         platform_id: str,
         user_id: str,
-        content: list[dict],  # TODO: parse from message chain
+        content: dict,  # TODO: parse from message chain
         sender_id: str | None = None,
         sender_name: str | None = None,
-    ):
+    ) -> PlatformMessageHistory:
         """Insert a new platform message history record."""
-        await self.db.insert_platform_message_history(
+        return await self.db.insert_platform_message_history(
             platform_id=platform_id,
             user_id=user_id,
             content=content,

astrbot/core/provider/entities.py

@@ -211,6 +211,8 @@ class LLMResponse:
     """Tool call names."""
     tools_call_ids: list[str] = field(default_factory=list)
     """Tool call IDs."""
+    tools_call_extra_content: dict[str, dict[str, Any]] = field(default_factory=dict)
+    """Tool call extra content. tool_call_id -> extra_content dict"""
     reasoning_content: str = ""
     """The reasoning content extracted from the LLM, if any."""
 
@@ -233,6 +235,7 @@ class LLMResponse:
         tools_call_args: list[dict[str, Any]] | None = None,
         tools_call_name: list[str] | None = None,
         tools_call_ids: list[str] | None = None,
+        tools_call_extra_content: dict[str, dict[str, Any]] | None = None,
         raw_completion: ChatCompletion
         | GenerateContentResponse
         | AnthropicMessage
@@ -256,6 +259,8 @@ class LLMResponse:
             tools_call_name = []
         if tools_call_ids is None:
             tools_call_ids = []
+        if tools_call_extra_content is None:
+            tools_call_extra_content = {}
 
         self.role = role
         self.completion_text = completion_text
@@ -263,6 +268,7 @@ class LLMResponse:
         self.tools_call_args = tools_call_args
         self.tools_call_name = tools_call_name
         self.tools_call_ids = tools_call_ids
+        self.tools_call_extra_content = tools_call_extra_content
         self.raw_completion = raw_completion
         self.is_chunk = is_chunk
 
@@ -288,16 +294,19 @@ class LLMResponse:
         """Convert to OpenAI tool calls format. Deprecated, use to_openai_to_calls_model instead."""
         ret = []
         for idx, tool_call_arg in enumerate(self.tools_call_args):
-            ret.append(
-                {
-                    "id": self.tools_call_ids[idx],
-                    "function": {
-                        "name": self.tools_call_name[idx],
-                        "arguments": json.dumps(tool_call_arg),
-                    },
-                    "type": "function",
+            payload = {
+                "id": self.tools_call_ids[idx],
+                "function": {
+                    "name": self.tools_call_name[idx],
+                    "arguments": json.dumps(tool_call_arg),
                 },
-            )
+                "type": "function",
+            }
+            if self.tools_call_extra_content.get(self.tools_call_ids[idx]):
+                payload["extra_content"] = self.tools_call_extra_content[
+                    self.tools_call_ids[idx]
+                ]
+            ret.append(payload)
         return ret
 
     def to_openai_to_calls_model(self) -> list[ToolCall]:
@@ -311,6 +320,10 @@ class LLMResponse:
                         name=self.tools_call_name[idx],
                         arguments=json.dumps(tool_call_arg),
                     ),
+                    # the extra_content will not serialize if it's None when calling ToolCall.model_dump()
+                    extra_content=self.tools_call_extra_content.get(
+                        self.tools_call_ids[idx]
+                    ),
                 ),
             )
         return ret

astrbot/core/provider/func_tool_manager.py

@@ -280,19 +280,22 @@ class FunctionToolManager:
     async def _terminate_mcp_client(self, name: str) -> None:
         """关闭并清理MCP客户端"""
         if name in self.mcp_client_dict:
+            client = self.mcp_client_dict[name]
             try:
                 # 关闭MCP连接
-                await self.mcp_client_dict[name].cleanup()
-                self.mcp_client_dict.pop(name)
+                await client.cleanup()
             except Exception as e:
                 logger.error(f"清空 MCP 客户端资源 {name}: {e}。")
-            # 移除关联的FuncTool
-            self.func_list = [
-                f
-                for f in self.func_list
-                if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
-            ]
-            logger.info(f"已关闭 MCP 服务 {name}")
+            finally:
+                # Remove client from dict after cleanup attempt (successful or not)
+                self.mcp_client_dict.pop(name, None)
+                # 移除关联的FuncTool
+                self.func_list = [
+                    f
+                    for f in self.func_list
+                    if not (isinstance(f, MCPTool) and f.mcp_server_name == name)
+                ]
+                logger.info(f"已关闭 MCP 服务 {name}")
 
     @staticmethod
     async def test_mcp_server_connection(config: dict) -> list[str]:

astrbot/core/provider/manager.py

@@ -1,7 +1,7 @@
 import asyncio
 import traceback
 
-from astrbot.core import logger, sp
+from astrbot.core import astrbot_config, logger, sp
 from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 from astrbot.core.db import BaseDatabase
 
@@ -24,6 +24,7 @@ class ProviderManager:
         db_helper: BaseDatabase,
         persona_mgr: PersonaManager,
     ):
+        self.reload_lock = asyncio.Lock()
         self.persona_mgr = persona_mgr
         self.acm = acm
         config = acm.confs["default"]
@@ -226,6 +227,9 @@ class ProviderManager:
 
     async def load_provider(self, provider_config: dict):
         if not provider_config["enable"]:
+            logger.info(f"Provider {provider_config['id']} is disabled, skipping")
+            return
+        if provider_config.get("provider_type", "") == "agent_runner":
             return
 
         logger.info(
@@ -247,14 +251,6 @@ class ProviderManager:
                     from .sources.anthropic_source import (
                         ProviderAnthropic as ProviderAnthropic,
                     )
-                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,
-                    )
                 case "googlegenai_chat_completion":
                     from .sources.gemini_source import (
                         ProviderGoogleGenAI as ProviderGoogleGenAI,
@@ -331,6 +327,10 @@ class ProviderManager:
                     from .sources.xinference_rerank_source import (
                         XinferenceRerankProvider as XinferenceRerankProvider,
                     )
+                case "bailian_rerank":
+                    from .sources.bailian_rerank_source import (
+                        BailianRerankProvider as BailianRerankProvider,
+                    )
         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。",
@@ -436,40 +436,46 @@ class ProviderManager:
             )
 
     async def reload(self, provider_config: dict):
-        await self.terminate_provider(provider_config["id"])
-        if provider_config["enable"]:
-            await self.load_provider(provider_config)
+        async with self.reload_lock:
+            await self.terminate_provider(provider_config["id"])
+            if provider_config["enable"]:
+                await self.load_provider(provider_config)
 
-        # 和配置文件保持同步
-        config_ids = [provider["id"] for provider in self.providers_config]
-        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)
+            # 和配置文件保持同步
+            self.providers_config = astrbot_config["provider"]
+            config_ids = [provider["id"] for provider in self.providers_config]
+            logger.info(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)
 
-        if len(self.provider_insts) == 0:
-            self.curr_provider_inst = None
-        elif self.curr_provider_inst is None and len(self.provider_insts) > 0:
-            self.curr_provider_inst = self.provider_insts[0]
-            logger.info(
-                f"自动选择 {self.curr_provider_inst.meta().id} 作为当前提供商适配器。",
-            )
+            if len(self.provider_insts) == 0:
+                self.curr_provider_inst = None
+            elif self.curr_provider_inst is None and len(self.provider_insts) > 0:
+                self.curr_provider_inst = self.provider_insts[0]
+                logger.info(
+                    f"自动选择 {self.curr_provider_inst.meta().id} 作为当前提供商适配器。",
+                )
 
-        if len(self.stt_provider_insts) == 0:
-            self.curr_stt_provider_inst = None
-        elif self.curr_stt_provider_inst is None and len(self.stt_provider_insts) > 0:
-            self.curr_stt_provider_inst = self.stt_provider_insts[0]
-            logger.info(
-                f"自动选择 {self.curr_stt_provider_inst.meta().id} 作为当前语音转文本提供商适配器。",
-            )
+            if len(self.stt_provider_insts) == 0:
+                self.curr_stt_provider_inst = None
+            elif (
+                self.curr_stt_provider_inst is None and len(self.stt_provider_insts) > 0
+            ):
+                self.curr_stt_provider_inst = self.stt_provider_insts[0]
+                logger.info(
+                    f"自动选择 {self.curr_stt_provider_inst.meta().id} 作为当前语音转文本提供商适配器。",
+                )
 
-        if len(self.tts_provider_insts) == 0:
-            self.curr_tts_provider_inst = None
-        elif self.curr_tts_provider_inst is None and len(self.tts_provider_insts) > 0:
-            self.curr_tts_provider_inst = self.tts_provider_insts[0]
-            logger.info(
-                f"自动选择 {self.curr_tts_provider_inst.meta().id} 作为当前文本转语音提供商适配器。",
-            )
+            if len(self.tts_provider_insts) == 0:
+                self.curr_tts_provider_inst = None
+            elif (
+                self.curr_tts_provider_inst is None and len(self.tts_provider_insts) > 0
+            ):
+                self.curr_tts_provider_inst = self.tts_provider_insts[0]
+                logger.info(
+                    f"自动选择 {self.curr_tts_provider_inst.meta().id} 作为当前文本转语音提供商适配器。",
+                )
 
     def get_insts(self):
         return self.provider_insts

astrbot/core/provider/provider.py

@@ -1,5 +1,6 @@
 import abc
 import asyncio
+import os
 from collections.abc import AsyncGenerator
 
 from astrbot.core.agent.message import Message
@@ -11,6 +12,7 @@ from astrbot.core.provider.entities import (
     ToolCallsResult,
 )
 from astrbot.core.provider.register import provider_cls_map
+from astrbot.core.utils.astrbot_path import get_astrbot_path
 
 
 class AbstractProvider(abc.ABC):
@@ -43,6 +45,14 @@ class AbstractProvider(abc.ABC):
         )
         return meta
 
+    async def test(self):
+        """test the provider is a
+
+        raises:
+            Exception: if the provider is not available
+        """
+        ...
+
 
 class Provider(AbstractProvider):
     """Chat Provider"""
@@ -165,6 +175,12 @@ class Provider(AbstractProvider):
 
         return dicts
 
+    async def test(self, timeout: float = 45.0):
+        await asyncio.wait_for(
+            self.text_chat(prompt="REPLY `PONG` ONLY"),
+            timeout=timeout,
+        )
+
 
 class STTProvider(AbstractProvider):
     def __init__(self, provider_config: dict, provider_settings: dict) -> None:
@@ -177,6 +193,14 @@ class STTProvider(AbstractProvider):
         """获取音频的文本"""
         raise NotImplementedError
 
+    async def test(self):
+        sample_audio_path = os.path.join(
+            get_astrbot_path(),
+            "samples",
+            "stt_health_check.wav",
+        )
+        await self.get_text(sample_audio_path)
+
 
 class TTSProvider(AbstractProvider):
     def __init__(self, provider_config: dict, provider_settings: dict) -> None:
@@ -189,6 +213,9 @@ class TTSProvider(AbstractProvider):
         """获取文本的音频，返回音频文件路径"""
         raise NotImplementedError
 
+    async def test(self):
+        await self.get_audio("hi")
+
 
 class EmbeddingProvider(AbstractProvider):
     def __init__(self, provider_config: dict, provider_settings: dict) -> None:
@@ -211,6 +238,9 @@ class EmbeddingProvider(AbstractProvider):
         """获取向量的维度"""
         ...
 
+    async def test(self):
+        await self.get_embedding("astrbot")
+
     async def get_embeddings_batch(
         self,
         texts: list[str],
@@ -294,3 +324,8 @@ class RerankProvider(AbstractProvider):
     ) -> list[RerankResult]:
         """获取查询和文档的重排序分数"""
         ...
+
+    async def test(self):
+        result = await self.rerank("Apple", documents=["apple", "banana"])
+        if not result:
+            raise Exception("Rerank provider test failed, no results returned")

astrbot/core/provider/sources/anthropic_source.py

@@ -290,7 +290,7 @@ class ProviderAnthropic(Provider):
         try:
             llm_response = await self._query(payloads, func_tool)
         except Exception as e:
-            logger.error(f"发生了错误。Provider 配置如下: {model_config}")
+            # logger.error(f"发生了错误。Provider 配置如下: {model_config}")
             raise e
 
         return llm_response

astrbot/core/provider/sources/bailian_rerank_source.py

@@ -0,0 +1,236 @@
+import os
+
+import aiohttp
+
+from astrbot import logger
+
+from ..entities import ProviderType, RerankResult
+from ..provider import RerankProvider
+from ..register import register_provider_adapter
+
+
+class BailianRerankError(Exception):
+    """百炼重排序服务异常基类"""
+
+    pass
+
+
+class BailianAPIError(BailianRerankError):
+    """百炼API返回错误"""
+
+    pass
+
+
+class BailianNetworkError(BailianRerankError):
+    """百炼网络请求错误"""
+
+    pass
+
+
+@register_provider_adapter(
+    "bailian_rerank", "阿里云百炼文本排序适配器", provider_type=ProviderType.RERANK
+)
+class BailianRerankProvider(RerankProvider):
+    """阿里云百炼文本重排序适配器."""
+
+    def __init__(self, provider_config: dict, provider_settings: dict) -> None:
+        super().__init__(provider_config, provider_settings)
+        self.provider_config = provider_config
+        self.provider_settings = provider_settings
+
+        # API配置
+        self.api_key = provider_config.get("rerank_api_key") or os.getenv(
+            "DASHSCOPE_API_KEY", ""
+        )
+        if not self.api_key:
+            raise ValueError("阿里云百炼 API Key 不能为空。")
+
+        self.model = provider_config.get("rerank_model", "qwen3-rerank")
+        self.timeout = provider_config.get("timeout", 30)
+        self.return_documents = provider_config.get("return_documents", False)
+        self.instruct = provider_config.get("instruct", "")
+
+        self.base_url = provider_config.get(
+            "rerank_api_base",
+            "https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank",
+        )
+
+        # 设置HTTP客户端
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json",
+        }
+
+        self.client = aiohttp.ClientSession(
+            headers=headers, timeout=aiohttp.ClientTimeout(total=self.timeout)
+        )
+
+        # 设置模型名称
+        self.set_model(self.model)
+
+        logger.info(f"AstrBot 百炼 Rerank 初始化完成。模型: {self.model}")
+
+    def _build_payload(
+        self, query: str, documents: list[str], top_n: int | None
+    ) -> dict:
+        """构建请求载荷
+
+        Args:
+            query: 查询文本
+            documents: 文档列表
+            top_n: 返回前N个结果，如果为None则返回所有结果
+
+        Returns:
+            请求载荷字典
+        """
+        base = {"model": self.model, "input": {"query": query, "documents": documents}}
+
+        params = {
+            k: v
+            for k, v in [
+                ("top_n", top_n if top_n is not None and top_n > 0 else None),
+                ("return_documents", True if self.return_documents else None),
+                (
+                    "instruct",
+                    self.instruct
+                    if self.instruct and self.model == "qwen3-rerank"
+                    else None,
+                ),
+            ]
+            if v is not None
+        }
+
+        if params:
+            base["parameters"] = params
+
+        return base
+
+    def _parse_results(self, data: dict) -> list[RerankResult]:
+        """解析API响应结果
+
+        Args:
+            data: API响应数据
+
+        Returns:
+            重排序结果列表
+
+        Raises:
+            BailianAPIError: API返回错误
+            KeyError: 结果缺少必要字段
+        """
+        # 检查响应状态
+        if data.get("code", "200") != "200":
+            raise BailianAPIError(
+                f"百炼 API 错误: {data.get('code')} – {data.get('message', '')}"
+            )
+
+        results = data.get("output", {}).get("results", [])
+        if not results:
+            logger.warning(f"百炼 Rerank 返回空结果: {data}")
+            return []
+
+        # 转换为RerankResult对象，使用.get()避免KeyError
+        rerank_results = []
+        for idx, result in enumerate(results):
+            try:
+                index = result.get("index", idx)
+                relevance_score = result.get("relevance_score", 0.0)
+
+                if relevance_score is None:
+                    logger.warning(f"结果 {idx} 缺少 relevance_score，使用默认值 0.0")
+                    relevance_score = 0.0
+
+                rerank_result = RerankResult(
+                    index=index, relevance_score=relevance_score
+                )
+                rerank_results.append(rerank_result)
+            except Exception as e:
+                logger.warning(f"解析结果 {idx} 时出错: {e}, result={result}")
+                continue
+
+        return rerank_results
+
+    def _log_usage(self, data: dict) -> None:
+        """记录使用量信息
+
+        Args:
+            data: API响应数据
+        """
+        tokens = data.get("usage", {}).get("total_tokens", 0)
+        if tokens > 0:
+            logger.debug(f"百炼 Rerank 消耗 Token: {tokens}")
+
+    async def rerank(
+        self,
+        query: str,
+        documents: list[str],
+        top_n: int | None = None,
+    ) -> list[RerankResult]:
+        """
+        对文档进行重排序
+
+        Args:
+            query: 查询文本
+            documents: 待排序的文档列表
+            top_n: 返回前N个结果，如果为None则使用配置中的默认值
+
+        Returns:
+            重排序结果列表
+        """
+        if not documents:
+            logger.warning("文档列表为空，返回空结果")
+            return []
+
+        if not query.strip():
+            logger.warning("查询文本为空，返回空结果")
+            return []
+
+        # 检查限制
+        if len(documents) > 500:
+            logger.warning(
+                f"文档数量({len(documents)})超过限制(500)，将截断前500个文档"
+            )
+            documents = documents[:500]
+
+        try:
+            # 构建请求载荷，如果top_n为None则返回所有重排序结果
+            payload = self._build_payload(query, documents, top_n)
+
+            logger.debug(
+                f"百炼 Rerank 请求: query='{query[:50]}...', 文档数量={len(documents)}"
+            )
+
+            # 发送请求
+            async with self.client.post(self.base_url, json=payload) as response:
+                response.raise_for_status()
+                response_data = await response.json()
+
+                # 解析结果并记录使用量
+                results = self._parse_results(response_data)
+                self._log_usage(response_data)
+
+                logger.debug(f"百炼 Rerank 成功返回 {len(results)} 个结果")
+
+                return results
+
+        except aiohttp.ClientError as e:
+            error_msg = f"网络请求失败: {e}"
+            logger.error(f"百炼 Rerank 网络请求失败: {e}")
+            raise BailianNetworkError(error_msg) from e
+        except BailianRerankError:
+            raise
+        except Exception as e:
+            error_msg = f"重排序失败: {e}"
+            logger.error(f"百炼 Rerank 处理失败: {e}")
+            raise BailianRerankError(error_msg) from e
+
+    async def terminate(self) -> None:
+        """关闭HTTP客户端会话."""
+        if self.client:
+            logger.info("关闭 百炼 Rerank 客户端会话")
+            try:
+                await self.client.close()
+            except Exception as e:
+                logger.error(f"关闭 百炼 Rerank 客户端时出错: {e}")
+            finally:
+                self.client = None

astrbot/core/provider/sources/coze_source.py

@@ -1,650 +0,0 @@
-import base64
-import hashlib
-import json
-import os
-from collections.abc import AsyncGenerator
-
-import astrbot.core.message.components as Comp
-from astrbot import logger
-from astrbot.api.provider import Provider
-from astrbot.core.message.message_event_result import MessageChain
-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,
-    ) -> None:
-        super().__init__(
-            provider_config,
-            provider_settings,
-        )
-        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
-            elif 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
-                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}: {e!s}")
-            raise Exception(f"处理图片失败: {e!s}")
-
-    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: {e!s}")
-            if isinstance(content, str):
-                return content
-            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)
-        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",
-                    },
-                )
-
-        contexts = self._ensure_message_to_dicts(contexts)
-        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,
-                                )
-                            # 本地文件
-                            elif 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}: {e!s}")
-                        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",
-                        },
-                    )
-            # 纯文本
-            elif 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: {e!s}")
-            yield LLMResponse(
-                role="err",
-                completion_text=f"Coze 流式请求失败: {e!s}",
-                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
-            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: {e!s}")
-            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: {e!s}")
-            return []
-
-    async def terminate(self):
-        """清理资源"""
-        await self.api_client.close()

astrbot/core/provider/sources/dashscope_source.py

@@ -1,207 +0,0 @@
-import asyncio
-import functools
-import re
-
-from dashscope import Application
-from dashscope.app.application_response import ApplicationResponse
-
-from astrbot.core import logger, sp
-from astrbot.core.message.message_event_result import MessageChain
-
-from .. import Provider
-from ..entities import LLMResponse
-from ..register import register_provider_adapter
-from .openai_source import ProviderOpenAIOfficial
-
-
-@register_provider_adapter("dashscope", "Dashscope APP 适配器。")
-class ProviderDashscope(ProviderOpenAIOfficial):
-    def __init__(
-        self,
-        provider_config: dict,
-        provider_settings: dict,
-    ) -> None:
-        Provider.__init__(
-            self,
-            provider_config,
-            provider_settings,
-        )
-        self.api_key = provider_config.get("dashscope_api_key", "")
-        if not self.api_key:
-            raise Exception("阿里云百炼 API Key 不能为空。")
-        self.app_id = provider_config.get("dashscope_app_id", "")
-        if not self.app_id:
-            raise Exception("阿里云百炼 APP ID 不能为空。")
-        self.dashscope_app_type = provider_config.get("dashscope_app_type", "")
-        if not self.dashscope_app_type:
-            raise Exception("阿里云百炼 APP 类型不能为空。")
-        self.model_name = "dashscope"
-        self.variables: dict = provider_config.get("variables", {})
-        self.rag_options: dict = provider_config.get("rag_options", {})
-        self.output_reference = self.rag_options.get("output_reference", False)
-        self.rag_options = self.rag_options.copy()
-        self.rag_options.pop("output_reference", None)
-
-        self.timeout = provider_config.get("timeout", 120)
-        if isinstance(self.timeout, str):
-            self.timeout = int(self.timeout)
-
-    def has_rag_options(self):
-        """判断是否有 RAG 选项
-
-        Returns:
-            bool: 是否有 RAG 选项
-
-        """
-        if self.rag_options and (
-            len(self.rag_options.get("pipeline_ids", [])) > 0
-            or len(self.rag_options.get("file_ids", [])) > 0
-        ):
-            return True
-        return False
-
-    async def text_chat(
-        self,
-        prompt: str,
-        session_id=None,
-        image_urls=None,
-        func_tool=None,
-        contexts=None,
-        system_prompt=None,
-        model=None,
-        **kwargs,
-    ) -> LLMResponse:
-        if image_urls is None:
-            image_urls = []
-        if contexts is None:
-            contexts = []
-        # 获得会话变量
-        payload_vars = self.variables.copy()
-        # 动态变量
-        session_var = await sp.session_get(session_id, "session_variables", default={})
-        payload_vars.update(session_var)
-
-        if (
-            self.dashscope_app_type in ["agent", "dialog-workflow"]
-            and not self.has_rag_options()
-        ):
-            # 支持多轮对话的
-            new_record = {"role": "user", "content": prompt}
-            if image_urls:
-                logger.warning("阿里云百炼暂不支持图片输入，将自动忽略图片内容。")
-            contexts_no_img = await self._remove_image_from_context(contexts)
-            context_query = [*contexts_no_img, new_record]
-            if system_prompt:
-                context_query.insert(0, {"role": "system", "content": system_prompt})
-            for part in context_query:
-                if "_no_save" in part:
-                    del part["_no_save"]
-            # 调用阿里云百炼 API
-            payload = {
-                "app_id": self.app_id,
-                "api_key": self.api_key,
-                "messages": context_query,
-                "biz_params": payload_vars or None,
-            }
-            partial = functools.partial(
-                Application.call,
-                **payload,
-            )
-            response = await asyncio.get_event_loop().run_in_executor(None, partial)
-        else:
-            # 不支持多轮对话的
-            # 调用阿里云百炼 API
-            payload = {
-                "app_id": self.app_id,
-                "prompt": prompt,
-                "api_key": self.api_key,
-                "biz_params": payload_vars or None,
-            }
-            if self.rag_options:
-                payload["rag_options"] = self.rag_options
-            partial = functools.partial(
-                Application.call,
-                **payload,
-            )
-            response = await asyncio.get_event_loop().run_in_executor(None, partial)
-
-        assert isinstance(response, ApplicationResponse)
-
-        logger.debug(f"dashscope resp: {response}")
-
-        if response.status_code != 200:
-            logger.error(
-                f"阿里云百炼请求失败: request_id={response.request_id}, code={response.status_code}, message={response.message}, 请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code",
-            )
-            return LLMResponse(
-                role="err",
-                result_chain=MessageChain().message(
-                    f"阿里云百炼请求失败: message={response.message} code={response.status_code}",
-                ),
-            )
-
-        output_text = response.output.get("text", "") or ""
-        # RAG 引用脚标格式化
-        output_text = re.sub(r"<ref>\[(\d+)\]</ref>", r"[\1]", output_text)
-        if self.output_reference and response.output.get("doc_references", None):
-            ref_parts = []
-            for ref in response.output.get("doc_references", []) or []:
-                ref_title = (
-                    ref.get("title", "")
-                    if ref.get("title")
-                    else ref.get("doc_name", "")
-                )
-                ref_parts.append(f"{ref['index_id']}. {ref_title}\n")
-            ref_str = "".join(ref_parts)
-            output_text += f"\n\n回答来源:\n{ref_str}"
-
-        llm_response = LLMResponse("assistant")
-        llm_response.result_chain = MessageChain().message(output_text)
-
-        return llm_response
-
-    async def text_chat_stream(
-        self,
-        prompt,
-        session_id=None,
-        image_urls=...,
-        func_tool=None,
-        contexts=...,
-        system_prompt=None,
-        tool_calls_result=None,
-        model=None,
-        **kwargs,
-    ):
-        # raise NotImplementedError("This method is not implemented yet.")
-        # 调用 text_chat 模拟流式
-        llm_response = await self.text_chat(
-            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,
-        )
-        llm_response.is_chunk = True
-        yield llm_response
-        llm_response.is_chunk = False
-        yield llm_response
-
-    async def forget(self, session_id):
-        return True
-
-    async def get_current_key(self):
-        return self.api_key
-
-    async def set_key(self, key):
-        raise Exception("阿里云百炼 适配器不支持设置 API Key。")
-
-    async def get_models(self):
-        return [self.get_model()]
-
-    async def get_human_readable_context(self, session_id, page, page_size):
-        raise Exception("暂不支持获得 阿里云百炼 的历史消息记录。")
-
-    async def terminate(self):
-        pass

astrbot/core/provider/sources/dify_source.py

@@ -1,285 +0,0 @@
-import os
-
-import astrbot.core.message.components as Comp
-from astrbot.core import logger, sp
-from astrbot.core.message.message_event_result import MessageChain
-from astrbot.core.utils.astrbot_path import get_astrbot_data_path
-from astrbot.core.utils.dify_api_client import DifyAPIClient
-from astrbot.core.utils.io import download_file, download_image_by_url
-
-from .. import Provider
-from ..entities import LLMResponse
-from ..register import register_provider_adapter
-
-
-@register_provider_adapter("dify", "Dify APP 适配器。")
-class ProviderDify(Provider):
-    def __init__(
-        self,
-        provider_config,
-        provider_settings,
-    ) -> None:
-        super().__init__(
-            provider_config,
-            provider_settings,
-        )
-        self.api_key = provider_config.get("dify_api_key", "")
-        if not self.api_key:
-            raise Exception("Dify API Key 不能为空。")
-        api_base = provider_config.get("dify_api_base", "https://api.dify.ai/v1")
-        self.api_type = provider_config.get("dify_api_type", "")
-        if not self.api_type:
-            raise Exception("Dify API 类型不能为空。")
-        self.model_name = "dify"
-        self.workflow_output_key = provider_config.get(
-            "dify_workflow_output_key",
-            "astrbot_wf_output",
-        )
-        self.dify_query_input_key = provider_config.get(
-            "dify_query_input_key",
-            "astrbot_text_query",
-        )
-        if not self.dify_query_input_key:
-            self.dify_query_input_key = "astrbot_text_query"
-        if not self.workflow_output_key:
-            self.workflow_output_key = "astrbot_wf_output"
-        self.variables: dict = provider_config.get("variables", {})
-        self.timeout = provider_config.get("timeout", 120)
-        if isinstance(self.timeout, str):
-            self.timeout = int(self.timeout)
-        self.conversation_ids = {}
-        """记录当前 session id 的对话 ID"""
-
-        self.api_client = DifyAPIClient(self.api_key, api_base)
-
-    async def text_chat(
-        self,
-        prompt: str,
-        session_id=None,
-        image_urls=None,
-        func_tool=None,
-        contexts=None,
-        system_prompt=None,
-        tool_calls_result=None,
-        model=None,
-        **kwargs,
-    ) -> LLMResponse:
-        if image_urls is None:
-            image_urls = []
-        result = ""
-        session_id = session_id or kwargs.get("user") or "unknown"  # 1734
-        conversation_id = self.conversation_ids.get(session_id, "")
-
-        files_payload = []
-        for image_url in image_urls:
-            image_path = (
-                await download_image_by_url(image_url)
-                if image_url.startswith("http")
-                else image_url
-            )
-            file_response = await self.api_client.file_upload(
-                image_path,
-                user=session_id,
-            )
-            logger.debug(f"Dify 上传图片响应：{file_response}")
-            if "id" not in file_response:
-                logger.warning(
-                    f"上传图片后得到未知的 Dify 响应：{file_response}，图片将忽略。",
-                )
-                continue
-            files_payload.append(
-                {
-                    "type": "image",
-                    "transfer_method": "local_file",
-                    "upload_file_id": file_response["id"],
-                },
-            )
-
-        # 获得会话变量
-        payload_vars = self.variables.copy()
-        # 动态变量
-        session_var = await sp.session_get(session_id, "session_variables", default={})
-        payload_vars.update(session_var)
-        payload_vars["system_prompt"] = system_prompt
-
-        try:
-            match self.api_type:
-                case "chat" | "agent" | "chatflow":
-                    if not prompt:
-                        prompt = "请描述这张图片。"
-
-                    async for chunk in self.api_client.chat_messages(
-                        inputs={
-                            **payload_vars,
-                        },
-                        query=prompt,
-                        user=session_id,
-                        conversation_id=conversation_id,
-                        files=files_payload,
-                        timeout=self.timeout,
-                    ):
-                        logger.debug(f"dify resp chunk: {chunk}")
-                        if (
-                            chunk["event"] == "message"
-                            or chunk["event"] == "agent_message"
-                        ):
-                            result += chunk["answer"]
-                            if not conversation_id:
-                                self.conversation_ids[session_id] = chunk[
-                                    "conversation_id"
-                                ]
-                                conversation_id = chunk["conversation_id"]
-                        elif chunk["event"] == "message_end":
-                            logger.debug("Dify message end")
-                            break
-                        elif chunk["event"] == "error":
-                            logger.error(f"Dify 出现错误：{chunk}")
-                            raise Exception(
-                                f"Dify 出现错误 status: {chunk['status']} message: {chunk['message']}",
-                            )
-
-                case "workflow":
-                    async for chunk in self.api_client.workflow_run(
-                        inputs={
-                            self.dify_query_input_key: prompt,
-                            "astrbot_session_id": session_id,
-                            **payload_vars,
-                        },
-                        user=session_id,
-                        files=files_payload,
-                        timeout=self.timeout,
-                    ):
-                        match chunk["event"]:
-                            case "workflow_started":
-                                logger.info(
-                                    f"Dify 工作流(ID: {chunk['workflow_run_id']})开始运行。",
-                                )
-                            case "node_finished":
-                                logger.debug(
-                                    f"Dify 工作流节点(ID: {chunk['data']['node_id']} Title: {chunk['data'].get('title', '')})运行结束。",
-                                )
-                            case "workflow_finished":
-                                logger.info(
-                                    f"Dify 工作流(ID: {chunk['workflow_run_id']})运行结束",
-                                )
-                                logger.debug(f"Dify 工作流结果：{chunk}")
-                                if chunk["data"]["error"]:
-                                    logger.error(
-                                        f"Dify 工作流出现错误：{chunk['data']['error']}",
-                                    )
-                                    raise Exception(
-                                        f"Dify 工作流出现错误：{chunk['data']['error']}",
-                                    )
-                                if (
-                                    self.workflow_output_key
-                                    not in chunk["data"]["outputs"]
-                                ):
-                                    raise Exception(
-                                        f"Dify 工作流的输出不包含指定的键名：{self.workflow_output_key}",
-                                    )
-                                result = chunk
-                case _:
-                    raise Exception(f"未知的 Dify API 类型：{self.api_type}")
-        except Exception as e:
-            logger.error(f"Dify 请求失败：{e!s}")
-            return LLMResponse(role="err", completion_text=f"Dify 请求失败：{e!s}")
-
-        if not result:
-            logger.warning("Dify 请求结果为空，请查看 Debug 日志。")
-
-        chain = await self.parse_dify_result(result)
-
-        return LLMResponse(role="assistant", result_chain=chain)
-
-    async def text_chat_stream(
-        self,
-        prompt,
-        session_id=None,
-        image_urls=...,
-        func_tool=None,
-        contexts=...,
-        system_prompt=None,
-        tool_calls_result=None,
-        model=None,
-        **kwargs,
-    ):
-        # raise NotImplementedError("This method is not implemented yet.")
-        # 调用 text_chat 模拟流式
-        llm_response = await self.text_chat(
-            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,
-        )
-        llm_response.is_chunk = True
-        yield llm_response
-        llm_response.is_chunk = False
-        yield llm_response
-
-    async def parse_dify_result(self, chunk: dict | str) -> MessageChain:
-        if isinstance(chunk, str):
-            # Chat
-            return MessageChain(chain=[Comp.Plain(chunk)])
-
-        async def parse_file(item: dict):
-            match item["type"]:
-                case "image":
-                    return Comp.Image(file=item["url"], url=item["url"])
-                case "audio":
-                    # 仅支持 wav
-                    temp_dir = os.path.join(get_astrbot_data_path(), "temp")
-                    path = os.path.join(temp_dir, f"{item['filename']}.wav")
-                    await download_file(item["url"], path)
-                    return Comp.Image(file=item["url"], url=item["url"])
-                case "video":
-                    return Comp.Video(file=item["url"])
-                case _:
-                    return Comp.File(name=item["filename"], file=item["url"])
-
-        output = chunk["data"]["outputs"][self.workflow_output_key]
-        chains = []
-        if isinstance(output, str):
-            # 纯文本输出
-            chains.append(Comp.Plain(output))
-        elif isinstance(output, list):
-            # 主要适配 Dify 的 HTTP 请求结点的多模态输出
-            for item in output:
-                # handle Array[File]
-                if (
-                    not isinstance(item, dict)
-                    or item.get("dify_model_identity", "") != "__dify__file__"
-                ):
-                    chains.append(Comp.Plain(str(output)))
-                    break
-        else:
-            chains.append(Comp.Plain(str(output)))
-
-        # scan file
-        files = chunk["data"].get("files", [])
-        for item in files:
-            comp = await parse_file(item)
-            chains.append(comp)
-
-        return MessageChain(chain=chains)
-
-    async def forget(self, session_id):
-        self.conversation_ids[session_id] = ""
-        return True
-
-    async def get_current_key(self):
-        return self.api_key
-
-    async def set_key(self, key):
-        raise Exception("Dify 适配器不支持设置 API Key。")
-
-    async def get_models(self):
-        return [self.get_model()]
-
-    async def get_human_readable_context(self, session_id, page, page_size):
-        raise Exception("暂不支持获得 Dify 的历史消息记录。")
-
-    async def terminate(self):
-        await self.api_client.close()

astrbot/core/provider/sources/gemini_source.py

@@ -111,9 +111,9 @@ class ProviderGoogleGenAI(Provider):
                 f"检测到 Key 异常({e.message})，且已没有可用的 Key。 当前 Key: {self.chosen_api_key[:12]}...",
             )
             raise Exception("达到了 Gemini 速率限制, 请稍后再试...")
-        logger.error(
-            f"发生了错误(gemini_source)。Provider 配置如下: {self.provider_config}",
-        )
+        # logger.error(
+        #     f"发生了错误(gemini_source)。Provider 配置如下: {self.provider_config}",
+        # )
         raise e
 
     async def _prepare_query_config(
@@ -290,13 +290,24 @@ class ProviderGoogleGenAI(Provider):
                     parts = [types.Part.from_text(text=content)]
                     append_or_extend(gemini_contents, parts, types.ModelContent)
                 elif not native_tool_enabled and "tool_calls" in message:
-                    parts = [
-                        types.Part.from_function_call(
+                    parts = []
+                    for tool in message["tool_calls"]:
+                        part = types.Part.from_function_call(
                             name=tool["function"]["name"],
                             args=json.loads(tool["function"]["arguments"]),
                         )
-                        for tool in message["tool_calls"]
-                    ]
+                        # we should set thought_signature back to part if exists
+                        # for more info about thought_signature, see:
+                        # https://ai.google.dev/gemini-api/docs/thought-signatures
+                        if "extra_content" in tool and tool["extra_content"]:
+                            ts_bs64 = (
+                                tool["extra_content"]
+                                .get("google", {})
+                                .get("thought_signature")
+                            )
+                            if ts_bs64:
+                                part.thought_signature = base64.b64decode(ts_bs64)
+                        parts.append(part)
                     append_or_extend(gemini_contents, parts, types.ModelContent)
                 else:
                     logger.warning("assistant 角色的消息内容为空，已添加空格占位")
@@ -393,10 +404,15 @@ class ProviderGoogleGenAI(Provider):
                 llm_response.role = "tool"
                 llm_response.tools_call_name.append(part.function_call.name)
                 llm_response.tools_call_args.append(part.function_call.args)
-                # gemini 返回的 function_call.id 可能为 None
-                llm_response.tools_call_ids.append(
-                    part.function_call.id or part.function_call.name,
-                )
+                # function_call.id might be None, use name as fallback
+                tool_call_id = part.function_call.id or part.function_call.name
+                llm_response.tools_call_ids.append(tool_call_id)
+                # extra_content
+                if part.thought_signature:
+                    ts_bs64 = base64.b64encode(part.thought_signature).decode("utf-8")
+                    llm_response.tools_call_extra_content[tool_call_id] = {
+                        "google": {"thought_signature": ts_bs64}
+                    }
             elif (
                 part.inline_data
                 and part.inline_data.mime_type
@@ -435,6 +451,7 @@ class ProviderGoogleGenAI(Provider):
                     contents=conversation,
                     config=config,
                 )
+                logger.debug(f"genai result: {result}")
 
                 if not result.candidates:
                     logger.error(f"请求失败, 返回的 candidates 为空: {result}")

astrbot/core/provider/sources/openai_source.py

@@ -8,7 +8,7 @@ import re
 from collections.abc import AsyncGenerator
 
 from openai import AsyncAzureOpenAI, AsyncOpenAI
-from openai._exceptions import NotFoundError, UnprocessableEntityError
+from openai._exceptions import NotFoundError
 from openai.lib.streaming.chat._completions import ChatCompletionStreamState
 from openai.types.chat.chat_completion import ChatCompletion
 from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
@@ -279,6 +279,7 @@ class ProviderOpenAIOfficial(Provider):
             args_ls = []
             func_name_ls = []
             tool_call_ids = []
+            tool_call_extra_content_dict = {}
             for tool_call in choice.message.tool_calls:
                 if isinstance(tool_call, str):
                     # workaround for #1359
@@ -296,11 +297,16 @@ class ProviderOpenAIOfficial(Provider):
                         args_ls.append(args)
                         func_name_ls.append(tool_call.function.name)
                         tool_call_ids.append(tool_call.id)
+
+                        # gemini-2.5 / gemini-3 series extra_content handling
+                        extra_content = getattr(tool_call, "extra_content", None)
+                        if extra_content is not None:
+                            tool_call_extra_content_dict[tool_call.id] = extra_content
             llm_response.role = "tool"
             llm_response.tools_call_args = args_ls
             llm_response.tools_call_name = func_name_ls
             llm_response.tools_call_ids = tool_call_ids
-
+            llm_response.tools_call_extra_content = tool_call_extra_content_dict
         # specially handle finish reason
         if choice.finish_reason == "content_filter":
             raise Exception(
@@ -353,7 +359,7 @@ class ProviderOpenAIOfficial(Provider):
 
         payloads = {"messages": context_query, **model_config}
 
-        # xAI 原生搜索参数（最小侵入地在此处注入）
+        # xAI origin search tool inject
         self._maybe_inject_xai_search(payloads, **kwargs)
 
         return payloads, context_query
@@ -427,7 +433,7 @@ class ProviderOpenAIOfficial(Provider):
             )
             payloads.pop("tools", None)
             return False, chosen_key, available_api_keys, payloads, context_query, None
-        logger.error(f"发生了错误。Provider 配置如下: {self.provider_config}")
+        # logger.error(f"发生了错误。Provider 配置如下: {self.provider_config}")
 
         if "tool" in str(e).lower() and "support" in str(e).lower():
             logger.error("疑似该模型不支持函数调用工具调用。请输入 /tool off_all")
@@ -475,12 +481,6 @@ class ProviderOpenAIOfficial(Provider):
                 self.client.api_key = chosen_key
                 llm_response = await self._query(payloads, func_tool)
                 break
-            except UnprocessableEntityError as e:
-                logger.warning(f"不可处理的实体错误：{e}，尝试删除图片。")
-                # 尝试删除所有 image
-                new_contexts = await self._remove_image_from_context(context_query)
-                payloads["messages"] = new_contexts
-                context_query = new_contexts
             except Exception as e:
                 last_exception = e
                 (
@@ -545,12 +545,6 @@ class ProviderOpenAIOfficial(Provider):
                 async for response in self._query_stream(payloads, func_tool):
                     yield response
                 break
-            except UnprocessableEntityError as e:
-                logger.warning(f"不可处理的实体错误：{e}，尝试删除图片。")
-                # 尝试删除所有 image
-                new_contexts = await self._remove_image_from_context(context_query)
-                payloads["messages"] = new_contexts
-                context_query = new_contexts
             except Exception as e:
                 last_exception = e
                 (
@@ -646,4 +640,3 @@ class ProviderOpenAIOfficial(Provider):
         with open(image_url, "rb") as f:
             image_bs64 = base64.b64encode(f.read()).decode("utf-8")
             return "data:image/jpeg;base64," + image_bs64
-        return ""

astrbot/core/provider/sources/whisper_api_source.py

@@ -6,7 +6,10 @@ from openai import NOT_GIVEN, AsyncOpenAI
 from astrbot.core import logger
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 from astrbot.core.utils.io import download_file
-from astrbot.core.utils.tencent_record_helper import tencent_silk_to_wav
+from astrbot.core.utils.tencent_record_helper import (
+    convert_to_pcm_wav,
+    tencent_silk_to_wav,
+)
 
 from ..entities import ProviderType
 from ..provider import STTProvider
@@ -35,18 +38,28 @@ class ProviderOpenAIWhisperAPI(STTProvider):
 
         self.set_model(provider_config.get("model"))
 
-    async def _is_silk_file(self, file_path):
+    async def _get_audio_format(self, file_path):
+        # 定义要检测的头部字节
         silk_header = b"SILK"
-        with open(file_path, "rb") as f:
-            file_header = f.read(8)
+        amr_header = b"#!AMR"
+
+        try:
+            with open(file_path, "rb") as f:
+                file_header = f.read(8)
+        except FileNotFoundError:
+            return None
 
         if silk_header in file_header:
-            return True
-        return False
+            return "silk"
+
+        if amr_header in file_header:
+            return "amr"
+        return None
 
     async def get_text(self, audio_url: str) -> str:
         """Only supports mp3, mp4, mpeg, m4a, wav, webm"""
         is_tencent = False
+        output_path = None
 
         if audio_url.startswith("http"):
             if "multimedia.nt.qq.com.cn" in audio_url:
@@ -62,16 +75,35 @@ class ProviderOpenAIWhisperAPI(STTProvider):
             raise FileNotFoundError(f"文件不存在: {audio_url}")
 
         if audio_url.endswith(".amr") or audio_url.endswith(".silk") or is_tencent:
-            is_silk = await self._is_silk_file(audio_url)
-            if is_silk:
-                logger.info("Converting silk file to wav ...")
+            file_format = await self._get_audio_format(audio_url)
+
+            # 判断是否需要转换
+            if file_format in ["silk", "amr"]:
                 temp_dir = os.path.join(get_astrbot_data_path(), "temp")
                 output_path = os.path.join(temp_dir, str(uuid.uuid4()) + ".wav")
-                await tencent_silk_to_wav(audio_url, output_path)
+
+                if file_format == "silk":
+                    logger.info(
+                        "Converting silk file to wav using tencent_silk_to_wav..."
+                    )
+                    await tencent_silk_to_wav(audio_url, output_path)
+                elif file_format == "amr":
+                    logger.info(
+                        "Converting amr file to wav using convert_to_pcm_wav..."
+                    )
+                    await convert_to_pcm_wav(audio_url, output_path)
+
                 audio_url = output_path
 
         result = await self.client.audio.transcriptions.create(
             model=self.model_name,
-            file=open(audio_url, "rb"),
+            file=("audio.wav", open(audio_url, "rb")),
         )
+
+        # remove temp file
+        if output_path and os.path.exists(output_path):
+            try:
+                os.remove(audio_url)
+            except Exception as e:
+                logger.error(f"Failed to remove temp file {audio_url}: {e}")
         return result.text

astrbot/core/star/session_llm_manager.py

@@ -171,110 +171,3 @@ class SessionServiceManager:
 
         # 如果没有配置，默认为启用（兼容性考虑）
         return True
-
-    @staticmethod
-    def set_session_status(session_id: str, enabled: bool) -> None:
-        """设置会话的整体启停状态
-
-        Args:
-            session_id: 会话ID (unified_msg_origin)
-            enabled: True表示启用，False表示禁用
-
-        """
-        session_config = (
-            sp.get("session_service_config", {}, scope="umo", scope_id=session_id) or {}
-        )
-        session_config["session_enabled"] = enabled
-        sp.put(
-            "session_service_config",
-            session_config,
-            scope="umo",
-            scope_id=session_id,
-        )
-
-        logger.info(
-            f"会话 {session_id} 的整体状态已更新为: {'启用' if enabled else '禁用'}",
-        )
-
-    @staticmethod
-    def should_process_session_request(event: AstrMessageEvent) -> bool:
-        """检查是否应该处理会话请求（会话整体启停检查）
-
-        Args:
-            event: 消息事件
-
-        Returns:
-            bool: True表示应该处理，False表示跳过
-
-        """
-        session_id = event.unified_msg_origin
-        return SessionServiceManager.is_session_enabled(session_id)
-
-    # =============================================================================
-    # 会话命名相关方法
-    # =============================================================================
-
-    @staticmethod
-    def get_session_custom_name(session_id: str) -> str | None:
-        """获取会话的自定义名称
-
-        Args:
-            session_id: 会话ID (unified_msg_origin)
-
-        Returns:
-            str: 自定义名称，如果没有设置则返回None
-
-        """
-        session_services = sp.get(
-            "session_service_config",
-            {},
-            scope="umo",
-            scope_id=session_id,
-        )
-        return session_services.get("custom_name")
-
-    @staticmethod
-    def set_session_custom_name(session_id: str, custom_name: str) -> None:
-        """设置会话的自定义名称
-
-        Args:
-            session_id: 会话ID (unified_msg_origin)
-            custom_name: 自定义名称，可以为空字符串来清除名称
-
-        """
-        session_config = (
-            sp.get("session_service_config", {}, scope="umo", scope_id=session_id) or {}
-        )
-        if custom_name and custom_name.strip():
-            session_config["custom_name"] = custom_name.strip()
-        else:
-            # 如果传入空名称，则删除自定义名称
-            session_config.pop("custom_name", None)
-        sp.put(
-            "session_service_config",
-            session_config,
-            scope="umo",
-            scope_id=session_id,
-        )
-
-        logger.info(
-            f"会话 {session_id} 的自定义名称已更新为: {custom_name.strip() if custom_name and custom_name.strip() else '已清除'}",
-        )
-
-    @staticmethod
-    def get_session_display_name(session_id: str) -> str:
-        """获取会话的显示名称（优先显示自定义名称，否则显示原始session_id的最后一段）
-
-        Args:
-            session_id: 会话ID (unified_msg_origin)
-
-        Returns:
-            str: 显示名称
-
-        """
-        custom_name = SessionServiceManager.get_session_custom_name(session_id)
-        if custom_name:
-            return custom_name
-
-        # 如果没有自定义名称，返回session_id的最后一段
-        return session_id.split(":")[2] if session_id.count(":") >= 2 else session_id

astrbot/core/star/session_plugin_manager.py

@@ -42,87 +42,6 @@ class SessionPluginManager:
         # 如果都没有配置，默认为启用（兼容性考虑）
         return True
 
-    @staticmethod
-    def set_plugin_status_for_session(
-        session_id: str,
-        plugin_name: str,
-        enabled: bool,
-    ) -> None:
-        """设置插件在指定会话中的启停状态
-
-        Args:
-            session_id: 会话ID (unified_msg_origin)
-            plugin_name: 插件名称
-            enabled: True表示启用，False表示禁用
-
-        """
-        # 获取当前配置
-        session_plugin_config = sp.get(
-            "session_plugin_config",
-            {},
-            scope="umo",
-            scope_id=session_id,
-        )
-        if session_id not in session_plugin_config:
-            session_plugin_config[session_id] = {
-                "enabled_plugins": [],
-                "disabled_plugins": [],
-            }
-
-        session_config = session_plugin_config[session_id]
-        enabled_plugins = session_config.get("enabled_plugins", [])
-        disabled_plugins = session_config.get("disabled_plugins", [])
-
-        if enabled:
-            # 启用插件
-            if plugin_name in disabled_plugins:
-                disabled_plugins.remove(plugin_name)
-            if plugin_name not in enabled_plugins:
-                enabled_plugins.append(plugin_name)
-        else:
-            # 禁用插件
-            if plugin_name in enabled_plugins:
-                enabled_plugins.remove(plugin_name)
-            if plugin_name not in disabled_plugins:
-                disabled_plugins.append(plugin_name)
-
-        # 保存配置
-        session_config["enabled_plugins"] = enabled_plugins
-        session_config["disabled_plugins"] = disabled_plugins
-        session_plugin_config[session_id] = session_config
-        sp.put(
-            "session_plugin_config",
-            session_plugin_config,
-            scope="umo",
-            scope_id=session_id,
-        )
-
-        logger.info(
-            f"会话 {session_id} 的插件 {plugin_name} 状态已更新为: {'启用' if enabled else '禁用'}",
-        )
-
-    @staticmethod
-    def get_session_plugin_config(session_id: str) -> dict[str, list[str]]:
-        """获取指定会话的插件配置
-
-        Args:
-            session_id: 会话ID (unified_msg_origin)
-
-        Returns:
-            Dict[str, List[str]]: 包含enabled_plugins和disabled_plugins的字典
-
-        """
-        session_plugin_config = sp.get(
-            "session_plugin_config",
-            {},
-            scope="umo",
-            scope_id=session_id,
-        )
-        return session_plugin_config.get(
-            session_id,
-            {"enabled_plugins": [], "disabled_plugins": []},
-        )
-
     @staticmethod
     def filter_handlers_by_session(event: AstrMessageEvent, handlers: list) -> list:
         """根据会话配置过滤处理器列表

astrbot/core/umop_config_router.py

@@ -85,3 +85,22 @@ class UmopConfigRouter:
 
         self.umop_to_conf_id[umo] = conf_id
         await self.sp.global_put("umop_config_routing", self.umop_to_conf_id)
+
+    async def delete_route(self, umo: str):
+        """删除一条路由
+
+        Args:
+            umo (str): 需要删除的 UMO 字符串
+
+        Raises:
+            ValueError: 当 umo 格式不正确时抛出
+        """
+
+        if not isinstance(umo, str) or len(umo.split(":")) != 3:
+            raise ValueError(
+                "umop must be a string in the format [platform_id]:[message_type]:[session_id], with optional wildcards * or empty for all",
+            )
+
+        if umo in self.umop_to_conf_id:
+            del self.umop_to_conf_id[umo]
+            await self.sp.global_put("umop_config_routing", self.umop_to_conf_id)

astrbot/core/utils/file_extract.py

@@ -0,0 +1,23 @@
+from pathlib import Path
+
+from openai import AsyncOpenAI
+
+
+async def extract_file_moonshotai(file_path: str, api_key: str) -> str:
+    """Extract text from a file using Moonshot AI API"""
+    """
+    Args:
+        file_path: The path to the file to extract text from
+        api_key: The API key to use to extract text from the file
+    Returns:
+        The text extracted from the file
+    """
+    client = AsyncOpenAI(
+        api_key=api_key,
+        base_url="https://api.moonshot.cn/v1",
+    )
+    file_object = await client.files.create(
+        file=Path(file_path),
+        purpose="file-extract",  # type: ignore
+    )
+    return (await client.files.content(file_id=file_object.id)).text

astrbot/core/utils/migra_helper.py

@@ -0,0 +1,73 @@
+import traceback
+
+from astrbot.core import astrbot_config, logger
+from astrbot.core.astrbot_config_mgr import AstrBotConfig, AstrBotConfigManager
+from astrbot.core.db.migration.migra_45_to_46 import migrate_45_to_46
+from astrbot.core.db.migration.migra_webchat_session import migrate_webchat_session
+
+
+def _migra_agent_runner_configs(conf: AstrBotConfig, ids_map: dict) -> None:
+    """
+    Migra agent runner configs from provider configs.
+    """
+    try:
+        default_prov_id = conf["provider_settings"]["default_provider_id"]
+        if default_prov_id in ids_map:
+            conf["provider_settings"]["default_provider_id"] = ""
+            p = ids_map[default_prov_id]
+            if p["type"] == "dify":
+                conf["provider_settings"]["dify_agent_runner_provider_id"] = p["id"]
+                conf["provider_settings"]["agent_runner_type"] = "dify"
+            elif p["type"] == "coze":
+                conf["provider_settings"]["coze_agent_runner_provider_id"] = p["id"]
+                conf["provider_settings"]["agent_runner_type"] = "coze"
+            elif p["type"] == "dashscope":
+                conf["provider_settings"]["dashscope_agent_runner_provider_id"] = p[
+                    "id"
+                ]
+                conf["provider_settings"]["agent_runner_type"] = "dashscope"
+            conf.save_config()
+    except Exception as e:
+        logger.error(f"Migration for third party agent runner configs failed: {e!s}")
+        logger.error(traceback.format_exc())
+
+
+async def migra(
+    db, astrbot_config_mgr, umop_config_router, acm: AstrBotConfigManager
+) -> None:
+    """
+    Stores the migration logic here.
+    btw, i really don't like migration :(
+    """
+    # 4.5 to 4.6 migration for umop_config_router
+    try:
+        await migrate_45_to_46(astrbot_config_mgr, umop_config_router)
+    except Exception as e:
+        logger.error(f"Migration from version 4.5 to 4.6 failed: {e!s}")
+        logger.error(traceback.format_exc())
+
+    # migration for webchat session
+    try:
+        await migrate_webchat_session(db)
+    except Exception as e:
+        logger.error(f"Migration for webchat session failed: {e!s}")
+        logger.error(traceback.format_exc())
+
+    # migra third party agent runner configs
+    _c = False
+    providers = astrbot_config["provider"]
+    ids_map = {}
+    for prov in providers:
+        type_ = prov.get("type")
+        if type_ in ["dify", "coze", "dashscope"]:
+            prov["provider_type"] = "agent_runner"
+            ids_map[prov["id"]] = {
+                "type": type_,
+                "id": prov["id"],
+            }
+            _c = True
+    if _c:
+        astrbot_config.save_config()
+
+    for conf in acm.confs.values():
+        _migra_agent_runner_configs(conf, ids_map)

astrbot/core/utils/shared_preferences.py

@@ -40,9 +40,6 @@ class SharedPreferences:
             else:
                 ret = default
             return ret
-        raise ValueError(
-            "scope_id and key cannot be None when getting a specific preference.",
-        )
 
     async def range_get_async(
         self,
@@ -56,30 +53,6 @@ class SharedPreferences:
         ret = await self.db_helper.get_preferences(scope, scope_id, key)
         return ret
 
-    @overload
-    async def session_get(
-        self,
-        umo: None,
-        key: str,
-        default: Any = None,
-    ) -> list[Preference]: ...
-
-    @overload
-    async def session_get(
-        self,
-        umo: str,
-        key: None,
-        default: Any = None,
-    ) -> list[Preference]: ...
-
-    @overload
-    async def session_get(
-        self,
-        umo: None,
-        key: None,
-        default: Any = None,
-    ) -> list[Preference]: ...
-
     async def session_get(
         self,
         umo: str | None,
@@ -88,7 +61,7 @@ class SharedPreferences:
     ) -> _VT | list[Preference]:
         """获取会话范围的偏好设置
 
-        Note: 当 scope_id 或者 key 为 None，时，返回 Preference 列表，其中的 value 属性是一个 dict，value["val"] 为值。
+        Note: 当 umo 或者 key 为 None，时，返回 Preference 列表，其中的 value 属性是一个 dict，value["val"] 为值。
         """
         if umo is None or key is None:
             return await self.range_get_async("umo", umo, key)

astrbot/core/utils/tencent_record_helper.py

@@ -36,7 +36,7 @@ async def wav_to_tencent_silk(wav_path: str, output_path: str) -> int:
         import pilk
     except (ImportError, ModuleNotFoundError) as _:
         raise Exception(
-            "pilk 模块未安装，请前往管理面板->控制台->安装pip库 安装 pilk 这个库",
+            "pilk 模块未安装，请前往管理面板->平台日志->安装pip库 安装 pilk 这个库",
         )
     # with wave.open(wav_path, 'rb') as wav:
     #     wav_data = wav.readframes(wav.getnframes())

astrbot/core/utils/webhook_utils.py

@@ -0,0 +1,47 @@
+from astrbot.core import astrbot_config, logger
+
+
+def _get_callback_api_base() -> str:
+    try:
+        return astrbot_config.get("callback_api_base", "").rstrip("/")
+    except Exception as e:
+        logger.error(f"获取 callback_api_base 失败: {e!s}")
+        return ""
+
+
+def _get_dashboard_port() -> int:
+    try:
+        return astrbot_config.get("dashboard", {}).get("port", 6185)
+    except Exception as e:
+        logger.error(f"获取 dashboard 端口失败: {e!s}")
+        return 6185
+
+
+def log_webhook_info(platform_name: str, webhook_uuid: str):
+    """打印美观的 webhook 信息日志
+
+    Args:
+        platform_name: 平台名称
+        webhook_uuid: webhook 的 UUID
+    """
+
+    callback_base = _get_callback_api_base()
+
+    if not callback_base:
+        callback_base = "http(s)://<your-astrbot-domain>"
+
+    if not callback_base.startswith("http"):
+        callback_base = f"http(s)://{callback_base}"
+
+    callback_base = callback_base.rstrip("/")
+    webhook_url = f"{callback_base}/api/platform/webhook/{webhook_uuid}"
+
+    display_log = (
+        "\n====================\n"
+        f"🔗 机器人平台 {platform_name} 已启用统一 Webhook 模式\n"
+        f"📍 Webhook 回调地址: \n"
+        f"   ➜  http://<your-ip>:{_get_dashboard_port()}/api/platform/webhook/{webhook_uuid}\n"
+        f"   ➜  {webhook_url}\n"
+        "====================\n"
+    )
+    logger.info(display_log)

astrbot/dashboard/routes/__init__.py

@@ -6,6 +6,7 @@ from .file import FileRoute
 from .knowledge_base import KnowledgeBaseRoute
 from .log import LogRoute
 from .persona import PersonaRoute
+from .platform import PlatformRoute
 from .plugin import PluginRoute
 from .session_management import SessionManagementRoute
 from .stat import StatRoute
@@ -22,6 +23,7 @@ __all__ = [
     "KnowledgeBaseRoute",
     "LogRoute",
     "PersonaRoute",
+    "PlatformRoute",
     "PluginRoute",
     "SessionManagementRoute",
     "StatRoute",

astrbot/dashboard/routes/chat.py

@@ -1,16 +1,15 @@
 import asyncio
 import json
+import mimetypes
 import os
 import uuid
 from contextlib import asynccontextmanager
 
-from quart import Response as QuartResponse
-from quart import g, make_response, request
+from quart import g, make_response, request, send_file
 
 from astrbot.core import logger
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
 from astrbot.core.db import BaseDatabase
-from astrbot.core.platform.astr_message_event import MessageSession
 from astrbot.core.platform.sources.webchat.webchat_queue_mgr import webchat_queue_mgr
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
@@ -36,13 +35,16 @@ class ChatRoute(Route):
         super().__init__(context)
         self.routes = {
             "/chat/send": ("POST", self.chat),
-            "/chat/new_conversation": ("GET", self.new_conversation),
-            "/chat/conversations": ("GET", self.get_conversations),
-            "/chat/get_conversation": ("GET", self.get_conversation),
-            "/chat/delete_conversation": ("GET", self.delete_conversation),
-            "/chat/rename_conversation": ("POST", self.rename_conversation),
+            "/chat/new_session": ("GET", self.new_session),
+            "/chat/sessions": ("GET", self.get_sessions),
+            "/chat/get_session": ("GET", self.get_session),
+            "/chat/delete_session": ("GET", self.delete_webchat_session),
+            "/chat/update_session_display_name": (
+                "POST",
+                self.update_session_display_name,
+            ),
             "/chat/get_file": ("GET", self.get_file),
-            "/chat/post_image": ("POST", self.post_image),
+            "/chat/get_attachment": ("GET", self.get_attachment),
             "/chat/post_file": ("POST", self.post_file),
         }
         self.core_lifecycle = core_lifecycle
@@ -53,6 +55,8 @@ class ChatRoute(Route):
         self.supported_imgs = ["jpg", "jpeg", "png", "gif", "webp"]
         self.conv_mgr = core_lifecycle.conversation_manager
         self.platform_history_mgr = core_lifecycle.platform_message_history_manager
+        self.db = db
+        self.umop_config_router = core_lifecycle.umop_config_router
 
         self.running_convs: dict[str, bool] = {}
 
@@ -69,94 +73,225 @@ class ChatRoute(Route):
             if not real_file_path.startswith(real_imgs_dir):
                 return Response().error("Invalid file path").__dict__
 
-            with open(real_file_path, "rb") as f:
-                filename_ext = os.path.splitext(filename)[1].lower()
-
-                if filename_ext == ".wav":
-                    return QuartResponse(f.read(), mimetype="audio/wav")
-                if filename_ext[1:] in self.supported_imgs:
-                    return QuartResponse(f.read(), mimetype="image/jpeg")
-                return QuartResponse(f.read())
+            filename_ext = os.path.splitext(filename)[1].lower()
+            if filename_ext == ".wav":
+                return await send_file(real_file_path, mimetype="audio/wav")
+            if filename_ext[1:] in self.supported_imgs:
+                return await send_file(real_file_path, mimetype="image/jpeg")
+            return await send_file(real_file_path)
 
         except (FileNotFoundError, OSError):
             return Response().error("File access error").__dict__
 
-    async def post_image(self):
-        post_data = await request.files
-        if "file" not in post_data:
-            return Response().error("Missing key: file").__dict__
+    async def get_attachment(self):
+        """Get attachment file by attachment_id."""
+        attachment_id = request.args.get("attachment_id")
+        if not attachment_id:
+            return Response().error("Missing key: attachment_id").__dict__
 
-        file = post_data["file"]
-        filename = str(uuid.uuid4()) + ".jpg"
-        path = os.path.join(self.imgs_dir, filename)
-        await file.save(path)
+        try:
+            attachment = await self.db.get_attachment_by_id(attachment_id)
+            if not attachment:
+                return Response().error("Attachment not found").__dict__
 
-        return Response().ok(data={"filename": filename}).__dict__
+            file_path = attachment.path
+            real_file_path = os.path.realpath(file_path)
+
+            return await send_file(real_file_path, mimetype=attachment.mime_type)
+
+        except (FileNotFoundError, OSError):
+            return Response().error("File access error").__dict__
 
     async def post_file(self):
+        """Upload a file and create an attachment record, return attachment_id."""
         post_data = await request.files
         if "file" not in post_data:
             return Response().error("Missing key: file").__dict__
 
         file = post_data["file"]
-        filename = f"{uuid.uuid4()!s}"
-        # 通过文件格式判断文件类型
-        if file.content_type.startswith("audio"):
-            filename += ".wav"
+        filename = file.filename or f"{uuid.uuid4()!s}"
+        content_type = file.content_type or "application/octet-stream"
+
+        # 根据 content_type 判断文件类型并添加扩展名
+        if content_type.startswith("image"):
+            attach_type = "image"
+        elif content_type.startswith("audio"):
+            attach_type = "record"
+        elif content_type.startswith("video"):
+            attach_type = "video"
+        else:
+            attach_type = "file"
 
         path = os.path.join(self.imgs_dir, filename)
         await file.save(path)
 
-        return Response().ok(data={"filename": filename}).__dict__
+        # 创建 attachment 记录
+        attachment = await self.db.insert_attachment(
+            path=path,
+            type=attach_type,
+            mime_type=content_type,
+        )
+
+        if not attachment:
+            return Response().error("Failed to create attachment").__dict__
+
+        filename = os.path.basename(attachment.path)
+
+        return (
+            Response()
+            .ok(
+                data={
+                    "attachment_id": attachment.attachment_id,
+                    "filename": filename,
+                    "type": attach_type,
+                }
+            )
+            .__dict__
+        )
+
+    async def _build_user_message_parts(self, message: str | list) -> list[dict]:
+        """构建用户消息的部分列表
+
+        Args:
+            message: 文本消息 (str) 或消息段列表 (list)
+        """
+        parts = []
+
+        if isinstance(message, list):
+            for part in message:
+                part_type = part.get("type")
+                if part_type == "plain":
+                    parts.append({"type": "plain", "text": part.get("text", "")})
+                elif part_type == "reply":
+                    parts.append(
+                        {"type": "reply", "message_id": part.get("message_id")}
+                    )
+                elif attachment_id := part.get("attachment_id"):
+                    attachment = await self.db.get_attachment_by_id(attachment_id)
+                    if attachment:
+                        parts.append(
+                            {
+                                "type": attachment.type,
+                                "attachment_id": attachment.attachment_id,
+                                "filename": os.path.basename(attachment.path),
+                                "path": attachment.path,  # will be deleted
+                            }
+                        )
+            return parts
+
+        if message:
+            parts.append({"type": "plain", "text": message})
+
+        return parts
+
+    async def _create_attachment_from_file(
+        self, filename: str, attach_type: str
+    ) -> dict | None:
+        """从本地文件创建 attachment 并返回消息部分
+
+        用于处理 bot 回复中的媒体文件
+
+        Args:
+            filename: 存储的文件名
+            attach_type: 附件类型 (image, record, file, video)
+        """
+        file_path = os.path.join(self.imgs_dir, os.path.basename(filename))
+        if not os.path.exists(file_path):
+            return None
+
+        # guess mime type
+        mime_type, _ = mimetypes.guess_type(filename)
+        if not mime_type:
+            mime_type = "application/octet-stream"
+
+        # insert attachment
+        attachment = await self.db.insert_attachment(
+            path=file_path,
+            type=attach_type,
+            mime_type=mime_type,
+        )
+        if not attachment:
+            return None
+
+        return {
+            "type": attach_type,
+            "attachment_id": attachment.attachment_id,
+            "filename": os.path.basename(file_path),
+        }
+
+    async def _save_bot_message(
+        self,
+        webchat_conv_id: str,
+        text: str,
+        media_parts: list,
+        reasoning: str,
+    ):
+        """保存 bot 消息到历史记录，返回保存的记录"""
+        bot_message_parts = []
+        if text:
+            bot_message_parts.append({"type": "plain", "text": text})
+        bot_message_parts.extend(media_parts)
+
+        new_his = {"type": "bot", "message": bot_message_parts}
+        if reasoning:
+            new_his["reasoning"] = reasoning
+
+        record = await self.platform_history_mgr.insert(
+            platform_id="webchat",
+            user_id=webchat_conv_id,
+            content=new_his,
+            sender_id="bot",
+            sender_name="bot",
+        )
+        return record
 
     async def chat(self):
         username = g.get("username", "guest")
 
         post_data = await request.json
-        if "message" not in post_data and "image_url" not in post_data:
-            return Response().error("Missing key: message or image_url").__dict__
+        if "message" not in post_data and "files" not in post_data:
+            return Response().error("Missing key: message or files").__dict__
 
-        if "conversation_id" not in post_data:
-            return Response().error("Missing key: conversation_id").__dict__
+        if "session_id" not in post_data and "conversation_id" not in post_data:
+            return (
+                Response().error("Missing key: session_id or conversation_id").__dict__
+            )
 
         message = post_data["message"]
-        conversation_id = post_data["conversation_id"]
-        image_url = post_data.get("image_url")
-        audio_url = post_data.get("audio_url")
+        session_id = post_data.get("session_id", post_data.get("conversation_id"))
         selected_provider = post_data.get("selected_provider")
         selected_model = post_data.get("selected_model")
-        enable_streaming = post_data.get("enable_streaming", True)  # 默认为 True
+        enable_streaming = post_data.get("enable_streaming", True)
 
-        if not message and not image_url and not audio_url:
-            return (
-                Response()
-                .error("Message and image_url and audio_url are empty")
-                .__dict__
+        # 检查消息是否为空
+        if isinstance(message, list):
+            has_content = any(
+                part.get("type") in ("plain", "image", "record", "file", "video")
+                for part in message
             )
-        if not conversation_id:
-            return Response().error("conversation_id is empty").__dict__
+            if not has_content:
+                return (
+                    Response()
+                    .error("Message content is empty (reply only is not allowed)")
+                    .__dict__
+                )
+        elif not message:
+            return Response().error("Message are both empty").__dict__
 
-        # 追加用户消息
-        webchat_conv_id = await self._get_webchat_conv_id_from_conv_id(conversation_id)
+        if not session_id:
+            return Response().error("session_id is empty").__dict__
 
-        # 获取会话特定的队列
+        webchat_conv_id = session_id
         back_queue = webchat_queue_mgr.get_or_create_back_queue(webchat_conv_id)
 
-        new_his = {"type": "user", "message": message}
-        if image_url:
-            new_his["image_url"] = image_url
-        if audio_url:
-            new_his["audio_url"] = audio_url
-        await self.platform_history_mgr.insert(
-            platform_id="webchat",
-            user_id=webchat_conv_id,
-            content=new_his,
-            sender_id=username,
-            sender_name=username,
-        )
+        # 构建用户消息段（包含 path 用于传递给 adapter）
+        message_parts = await self._build_user_message_parts(message)
 
         async def stream():
             client_disconnected = False
+            accumulated_parts = []
+            accumulated_text = ""
+            accumulated_reasoning = ""
 
             try:
                 async with track_conversation(self.running_convs, webchat_conv_id):
@@ -175,16 +310,17 @@ class ChatRoute(Route):
                             continue
 
                         result_text = result["data"]
-                        type = result.get("type")
+                        msg_type = result.get("type")
                         streaming = result.get("streaming", False)
 
+                        # 发送 SSE 数据
                         try:
                             if not client_disconnected:
                                 yield f"data: {json.dumps(result, ensure_ascii=False)}\n\n"
                         except Exception as e:
                             if not client_disconnected:
                                 logger.debug(
-                                    f"[WebChat] 用户 {username} 断开聊天长连接。 {e}",
+                                    f"[WebChat] 用户 {username} 断开聊天长连接。 {e}"
                                 )
                             client_disconnected = True
 
@@ -195,24 +331,68 @@ class ChatRoute(Route):
                             logger.debug(f"[WebChat] 用户 {username} 断开聊天长连接。")
                             client_disconnected = True
 
-                        if type == "end":
+                        # 累积消息部分
+                        if msg_type == "plain":
+                            chain_type = result.get("chain_type", "normal")
+                            if chain_type == "reasoning":
+                                accumulated_reasoning += result_text
+                            else:
+                                accumulated_text += result_text
+                        elif msg_type == "image":
+                            filename = result_text.replace("[IMAGE]", "")
+                            part = await self._create_attachment_from_file(
+                                filename, "image"
+                            )
+                            if part:
+                                accumulated_parts.append(part)
+                        elif msg_type == "record":
+                            filename = result_text.replace("[RECORD]", "")
+                            part = await self._create_attachment_from_file(
+                                filename, "record"
+                            )
+                            if part:
+                                accumulated_parts.append(part)
+                        elif msg_type == "file":
+                            # 格式: [FILE]filename
+                            filename = result_text.replace("[FILE]", "")
+                            part = await self._create_attachment_from_file(
+                                filename, "file"
+                            )
+                            if part:
+                                accumulated_parts.append(part)
+
+                        # 消息结束处理
+                        if msg_type == "end":
                             break
                         elif (
-                            (streaming and type == "complete")
+                            (streaming and msg_type == "complete")
                             or not streaming
-                            or type == "break"
+                            or msg_type == "break"
                         ):
-                            # 追加机器人消息
-                            new_his = {"type": "bot", "message": result_text}
-                            if "reasoning" in result:
-                                new_his["reasoning"] = result["reasoning"]
-                            await self.platform_history_mgr.insert(
-                                platform_id="webchat",
-                                user_id=webchat_conv_id,
-                                content=new_his,
-                                sender_id="bot",
-                                sender_name="bot",
+                            saved_record = await self._save_bot_message(
+                                webchat_conv_id,
+                                accumulated_text,
+                                accumulated_parts,
+                                accumulated_reasoning,
                             )
+                            # 发送保存的消息信息给前端
+                            if saved_record and not client_disconnected:
+                                saved_info = {
+                                    "type": "message_saved",
+                                    "data": {
+                                        "id": saved_record.id,
+                                        "created_at": saved_record.created_at.astimezone().isoformat(),
+                                    },
+                                }
+                                try:
+                                    yield f"data: {json.dumps(saved_info, ensure_ascii=False)}\n\n"
+                                except Exception:
+                                    pass
+                            # 重置累积变量 (对于 break 后的下一段消息)
+                            if msg_type == "break":
+                                accumulated_parts = []
+                                accumulated_text = ""
+                                accumulated_reasoning = ""
             except BaseException as e:
                 logger.exception(f"WebChat stream unexpected error: {e}", exc_info=True)
 
@@ -223,9 +403,7 @@ class ChatRoute(Route):
                 username,
                 webchat_conv_id,
                 {
-                    "message": message,
-                    "image_url": image_url,  # list
-                    "audio_url": audio_url,
+                    "message": message_parts,
                     "selected_provider": selected_provider,
                     "selected_model": selected_model,
                     "enable_streaming": enable_streaming,
@@ -233,6 +411,19 @@ class ChatRoute(Route):
             ),
         )
 
+        message_parts_for_storage = []
+        for part in message_parts:
+            part_copy = {k: v for k, v in part.items() if k != "path"}
+            message_parts_for_storage.append(part_copy)
+
+        await self.platform_history_mgr.insert(
+            platform_id="webchat",
+            user_id=webchat_conv_id,
+            content={"type": "user", "message": message_parts_for_storage},
+            sender_id=username,
+            sender_name=username,
+        )
+
         response = await make_response(
             stream(),
             {
@@ -242,91 +433,170 @@ class ChatRoute(Route):
                 "Connection": "keep-alive",
             },
         )
-        response.timeout = None  # fix SSE auto disconnect issue
+        response.timeout = None  # fix SSE auto disconnect issue  # pyright: ignore[reportAttributeAccessIssue]
         return response
 
-    async def _get_webchat_conv_id_from_conv_id(self, conversation_id: str) -> str:
-        """从对话 ID 中提取 WebChat 会话 ID
-
-        NOTE: 关于这里为什么要单独做一个 WebChat 的 Conversation ID 出来，这个是为了向前兼容。
-        """
-        conversation = await self.conv_mgr.get_conversation(
-            unified_msg_origin="webchat",
-            conversation_id=conversation_id,
-        )
-        if not conversation:
-            raise ValueError(f"Conversation with ID {conversation_id} not found.")
-        conv_user_id = conversation.user_id
-        webchat_session_id = MessageSession.from_str(conv_user_id).session_id
-        if "!" not in webchat_session_id:
-            raise ValueError(f"Invalid conv user ID: {conv_user_id}")
-        return webchat_session_id.split("!")[-1]
-
-    async def delete_conversation(self):
-        conversation_id = request.args.get("conversation_id")
-        if not conversation_id:
-            return Response().error("Missing key: conversation_id").__dict__
+    async def delete_webchat_session(self):
+        """Delete a Platform session and all its related data."""
+        session_id = request.args.get("session_id")
+        if not session_id:
+            return Response().error("Missing key: session_id").__dict__
         username = g.get("username", "guest")
 
-        # Clean up queues when deleting conversation
-        webchat_queue_mgr.remove_queues(conversation_id)
-        webchat_conv_id = await self._get_webchat_conv_id_from_conv_id(conversation_id)
-        await self.conv_mgr.delete_conversation(
-            unified_msg_origin=f"webchat:FriendMessage:webchat!{username}!{webchat_conv_id}",
-            conversation_id=conversation_id,
+        # 验证会话是否存在且属于当前用户
+        session = await self.db.get_platform_session_by_id(session_id)
+        if not session:
+            return Response().error(f"Session {session_id} not found").__dict__
+        if session.creator != username:
+            return Response().error("Permission denied").__dict__
+
+        # 删除该会话下的所有对话
+        message_type = "GroupMessage" if session.is_group else "FriendMessage"
+        unified_msg_origin = f"{session.platform_id}:{message_type}:{session.platform_id}!{username}!{session_id}"
+        await self.conv_mgr.delete_conversations_by_user_id(unified_msg_origin)
+
+        # 获取消息历史中的所有附件 ID 并删除附件
+        history_list = await self.platform_history_mgr.get(
+            platform_id=session.platform_id,
+            user_id=session_id,
+            page=1,
+            page_size=100000,  # 获取足够多的记录
         )
+        attachment_ids = self._extract_attachment_ids(history_list)
+        if attachment_ids:
+            await self._delete_attachments(attachment_ids)
+
+        # 删除消息历史
         await self.platform_history_mgr.delete(
-            platform_id="webchat",
-            user_id=webchat_conv_id,
+            platform_id=session.platform_id,
+            user_id=session_id,
             offset_sec=99999999,
         )
+
+        # 删除与会话关联的配置路由
+        try:
+            await self.umop_config_router.delete_route(unified_msg_origin)
+        except ValueError as exc:
+            logger.warning(
+                "Failed to delete UMO route %s during session cleanup: %s",
+                unified_msg_origin,
+                exc,
+            )
+
+        # 清理队列（仅对 webchat）
+        if session.platform_id == "webchat":
+            webchat_queue_mgr.remove_queues(session_id)
+
+        # 删除会话
+        await self.db.delete_platform_session(session_id)
+
         return Response().ok().__dict__
 
-    async def new_conversation(self):
+    def _extract_attachment_ids(self, history_list) -> list[str]:
+        """从消息历史中提取所有 attachment_id"""
+        attachment_ids = []
+        for history in history_list:
+            content = history.content
+            if not content or "message" not in content:
+                continue
+            message_parts = content.get("message", [])
+            for part in message_parts:
+                if isinstance(part, dict) and "attachment_id" in part:
+                    attachment_ids.append(part["attachment_id"])
+        return attachment_ids
+
+    async def _delete_attachments(self, attachment_ids: list[str]):
+        """删除附件（包括数据库记录和磁盘文件）"""
+        try:
+            attachments = await self.db.get_attachments(attachment_ids)
+            for attachment in attachments:
+                if not os.path.exists(attachment.path):
+                    continue
+                try:
+                    os.remove(attachment.path)
+                except OSError as e:
+                    logger.warning(
+                        f"Failed to delete attachment file {attachment.path}: {e}"
+                    )
+        except Exception as e:
+            logger.warning(f"Failed to get attachments: {e}")
+
+        # 批量删除数据库记录
+        try:
+            await self.db.delete_attachments(attachment_ids)
+        except Exception as e:
+            logger.warning(f"Failed to delete attachments: {e}")
+
+    async def new_session(self):
+        """Create a new Platform session (default: webchat)."""
         username = g.get("username", "guest")
-        webchat_conv_id = str(uuid.uuid4())
-        conv_id = await self.conv_mgr.new_conversation(
-            unified_msg_origin=f"webchat:FriendMessage:webchat!{username}!{webchat_conv_id}",
-            platform_id="webchat",
-            content=[],
+
+        # 获取可选的 platform_id 参数，默认为 webchat
+        platform_id = request.args.get("platform_id", "webchat")
+
+        # 创建新会话
+        session = await self.db.create_platform_session(
+            creator=username,
+            platform_id=platform_id,
+            is_group=0,
         )
-        return Response().ok(data={"conversation_id": conv_id}).__dict__
 
-    async def rename_conversation(self):
-        post_data = await request.json
-        if "conversation_id" not in post_data or "title" not in post_data:
-            return Response().error("Missing key: conversation_id or title").__dict__
-
-        conversation_id = post_data["conversation_id"]
-        title = post_data["title"]
-
-        await self.conv_mgr.update_conversation(
-            unified_msg_origin="webchat",  # fake
-            conversation_id=conversation_id,
-            title=title,
+        return (
+            Response()
+            .ok(
+                data={
+                    "session_id": session.session_id,
+                    "platform_id": session.platform_id,
+                }
+            )
+            .__dict__
         )
-        return Response().ok(message="重命名成功！").__dict__
 
-    async def get_conversations(self):
-        conversations = await self.conv_mgr.get_conversations(platform_id="webchat")
-        # remove content
-        conversations_ = []
-        for conv in conversations:
-            conv.history = None
-            conversations_.append(conv)
-        return Response().ok(data=conversations_).__dict__
+    async def get_sessions(self):
+        """Get all Platform sessions for the current user."""
+        username = g.get("username", "guest")
 
-    async def get_conversation(self):
-        conversation_id = request.args.get("conversation_id")
-        if not conversation_id:
-            return Response().error("Missing key: conversation_id").__dict__
+        # 获取可选的 platform_id 参数
+        platform_id = request.args.get("platform_id")
 
-        webchat_conv_id = await self._get_webchat_conv_id_from_conv_id(conversation_id)
+        sessions = await self.db.get_platform_sessions_by_creator(
+            creator=username,
+            platform_id=platform_id,
+            page=1,
+            page_size=100,  # 暂时返回前100个
+        )
 
-        # Get platform message history
+        # 转换为字典格式，并添加额外信息
+        sessions_data = []
+        for session in sessions:
+            sessions_data.append(
+                {
+                    "session_id": session.session_id,
+                    "platform_id": session.platform_id,
+                    "creator": session.creator,
+                    "display_name": session.display_name,
+                    "is_group": session.is_group,
+                    "created_at": session.created_at.astimezone().isoformat(),
+                    "updated_at": session.updated_at.astimezone().isoformat(),
+                }
+            )
+
+        return Response().ok(data=sessions_data).__dict__
+
+    async def get_session(self):
+        """Get session information and message history by session_id."""
+        session_id = request.args.get("session_id")
+        if not session_id:
+            return Response().error("Missing key: session_id").__dict__
+
+        # 获取会话信息以确定 platform_id
+        session = await self.db.get_platform_session_by_id(session_id)
+        platform_id = session.platform_id if session else "webchat"
+
+        # Get platform message history using session_id
         history_ls = await self.platform_history_mgr.get(
-            platform_id="webchat",
-            user_id=webchat_conv_id,
+            platform_id=platform_id,
+            user_id=session_id,
             page=1,
             page_size=1000,
         )
@@ -338,8 +608,37 @@ class ChatRoute(Route):
             .ok(
                 data={
                     "history": history_res,
-                    "is_running": self.running_convs.get(webchat_conv_id, False),
+                    "is_running": self.running_convs.get(session_id, False),
                 },
             )
             .__dict__
         )
+
+    async def update_session_display_name(self):
+        """Update a Platform session's display name."""
+        post_data = await request.json
+
+        session_id = post_data.get("session_id")
+        display_name = post_data.get("display_name")
+
+        if not session_id:
+            return Response().error("Missing key: session_id").__dict__
+        if display_name is None:
+            return Response().error("Missing key: display_name").__dict__
+
+        username = g.get("username", "guest")
+
+        # 验证会话是否存在且属于当前用户
+        session = await self.db.get_platform_session_by_id(session_id)
+        if not session:
+            return Response().error(f"Session {session_id} not found").__dict__
+        if session.creator != username:
+            return Response().error("Permission denied").__dict__
+
+        # 更新 display_name
+        await self.db.update_platform_session(
+            session_id=session_id,
+            display_name=display_name,
+        )
+
+        return Response().ok().__dict__

astrbot/dashboard/routes/config.py

@@ -2,6 +2,7 @@ import asyncio
 import inspect
 import os
 import traceback
+import uuid
 
 from quart import request
 
@@ -13,15 +14,14 @@ from astrbot.core.config.default import (
     CONFIG_METADATA_3_SYSTEM,
     DEFAULT_CONFIG,
     DEFAULT_VALUE_MAP,
+    WEBHOOK_SUPPORTED_PLATFORMS,
 )
+from astrbot.core.config.i18n_utils import ConfigMetadataI18n
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
 from astrbot.core.platform.register import platform_cls_map, platform_registry
 from astrbot.core.provider import Provider
-from astrbot.core.provider.entities import ProviderType
-from astrbot.core.provider.provider import RerankProvider
 from astrbot.core.provider.register import provider_registry
 from astrbot.core.star.star import star_registry
-from astrbot.core.utils.astrbot_path import get_astrbot_path
 
 from .route import Response, Route, RouteContext
 
@@ -133,7 +133,9 @@ def save_config(post_config: dict, config: AstrBotConfig, is_core: bool = False)
                 is_core,
             )
         else:
-            errors, post_config = validate_config(post_config, config.schema, is_core)
+            errors, post_config = validate_config(
+                post_config, getattr(config, "schema", {}), is_core
+            )
     except BaseException as e:
         logger.error(traceback.format_exc())
         logger.warning(f"验证配置时出现异常: {e}")
@@ -247,11 +249,8 @@ class ConfigRoute(Route):
 
     async def get_default_config(self):
         """获取默认配置文件"""
-        return (
-            Response()
-            .ok({"config": DEFAULT_CONFIG, "metadata": CONFIG_METADATA_3})
-            .__dict__
-        )
+        metadata = ConfigMetadataI18n.convert_to_i18n_keys(CONFIG_METADATA_3)
+        return Response().ok({"config": DEFAULT_CONFIG, "metadata": metadata}).__dict__
 
     async def get_abconf_list(self):
         """获取所有 AstrBot 配置文件的列表"""
@@ -282,17 +281,15 @@ class ConfigRoute(Route):
         try:
             if system_config:
                 abconf = self.acm.confs["default"]
-                return (
-                    Response()
-                    .ok({"config": abconf, "metadata": CONFIG_METADATA_3_SYSTEM})
-                    .__dict__
+                metadata = ConfigMetadataI18n.convert_to_i18n_keys(
+                    CONFIG_METADATA_3_SYSTEM
                 )
+                return Response().ok({"config": abconf, "metadata": metadata}).__dict__
+            if abconf_id is None:
+                raise ValueError("abconf_id cannot be None")
             abconf = self.acm.confs[abconf_id]
-            return (
-                Response()
-                .ok({"config": abconf, "metadata": CONFIG_METADATA_3})
-                .__dict__
-            )
+            metadata = ConfigMetadataI18n.convert_to_i18n_keys(CONFIG_METADATA_3)
+            return Response().ok({"config": abconf, "metadata": metadata}).__dict__
         except ValueError as e:
             return Response().error(str(e)).__dict__
 
@@ -358,169 +355,20 @@ class ConfigRoute(Route):
             f"Attempting to check provider: {status_info['name']} (ID: {status_info['id']}, Type: {status_info['type']}, Model: {status_info['model']})",
         )
 
-        if provider_capability_type == ProviderType.CHAT_COMPLETION:
-            try:
-                logger.debug(f"Sending 'Ping' to provider: {status_info['name']}")
-                response = await asyncio.wait_for(
-                    provider.text_chat(prompt="REPLY `PONG` ONLY"),
-                    timeout=45.0,
-                )
-                logger.debug(
-                    f"Received response from {status_info['name']}: {response}",
-                )
-                if response is not None:
-                    status_info["status"] = "available"
-                    response_text_snippet = ""
-                    if (
-                        hasattr(response, "completion_text")
-                        and response.completion_text
-                    ):
-                        response_text_snippet = (
-                            response.completion_text[:70] + "..."
-                            if len(response.completion_text) > 70
-                            else response.completion_text
-                        )
-                    elif hasattr(response, "result_chain") and response.result_chain:
-                        try:
-                            response_text_snippet = (
-                                response.result_chain.get_plain_text()[:70] + "..."
-                                if len(response.result_chain.get_plain_text()) > 70
-                                else response.result_chain.get_plain_text()
-                            )
-                        except Exception as _:
-                            pass
-                    logger.info(
-                        f"Provider {status_info['name']} (ID: {status_info['id']}) is available. Response snippet: '{response_text_snippet}'",
-                    )
-                else:
-                    status_info["error"] = (
-                        "Test call returned None, but expected an LLMResponse object."
-                    )
-                    logger.warning(
-                        f"Provider {status_info['name']} (ID: {status_info['id']}) test call returned None.",
-                    )
-
-            except asyncio.TimeoutError:
-                status_info["error"] = (
-                    "Connection timed out after 45 seconds during test call."
-                )
-                logger.warning(
-                    f"Provider {status_info['name']} (ID: {status_info['id']}) timed out.",
-                )
-            except Exception as e:
-                error_message = str(e)
-                status_info["error"] = error_message
-                logger.warning(
-                    f"Provider {status_info['name']} (ID: {status_info['id']}) is unavailable. Error: {error_message}",
-                )
-                logger.debug(
-                    f"Traceback for {status_info['name']}:\n{traceback.format_exc()}",
-                )
-
-        elif provider_capability_type == ProviderType.EMBEDDING:
-            try:
-                # For embedding, we can call the get_embedding method with a short prompt.
-                embedding_result = await provider.get_embedding("health_check")
-                if isinstance(embedding_result, list) and (
-                    not embedding_result or isinstance(embedding_result[0], float)
-                ):
-                    status_info["status"] = "available"
-                else:
-                    status_info["status"] = "unavailable"
-                    status_info["error"] = (
-                        f"Embedding test failed: unexpected result type {type(embedding_result)}"
-                    )
-            except Exception as e:
-                logger.error(
-                    f"Error testing embedding provider {provider_name}: {e}",
-                    exc_info=True,
-                )
-                status_info["status"] = "unavailable"
-                status_info["error"] = f"Embedding test failed: {e!s}"
-
-        elif provider_capability_type == ProviderType.TEXT_TO_SPEECH:
-            try:
-                # For TTS, we can call the get_audio method with a short prompt.
-                audio_result = await provider.get_audio("你好")
-                if isinstance(audio_result, str) and audio_result:
-                    status_info["status"] = "available"
-                else:
-                    status_info["status"] = "unavailable"
-                    status_info["error"] = (
-                        f"TTS test failed: unexpected result type {type(audio_result)}"
-                    )
-            except Exception as e:
-                logger.error(
-                    f"Error testing TTS provider {provider_name}: {e}",
-                    exc_info=True,
-                )
-                status_info["status"] = "unavailable"
-                status_info["error"] = f"TTS test failed: {e!s}"
-        elif provider_capability_type == ProviderType.SPEECH_TO_TEXT:
-            try:
-                logger.debug(
-                    f"Sending health check audio to provider: {status_info['name']}",
-                )
-                sample_audio_path = os.path.join(
-                    get_astrbot_path(),
-                    "samples",
-                    "stt_health_check.wav",
-                )
-                if not os.path.exists(sample_audio_path):
-                    status_info["status"] = "unavailable"
-                    status_info["error"] = (
-                        "STT test failed: sample audio file not found."
-                    )
-                    logger.warning(
-                        f"STT test for {status_info['name']} failed: sample audio file not found at {sample_audio_path}",
-                    )
-                else:
-                    text_result = await provider.get_text(sample_audio_path)
-                    if isinstance(text_result, str) and text_result:
-                        status_info["status"] = "available"
-                        snippet = (
-                            text_result[:70] + "..."
-                            if len(text_result) > 70
-                            else text_result
-                        )
-                        logger.info(
-                            f"Provider {status_info['name']} (ID: {status_info['id']}) is available. Response snippet: '{snippet}'",
-                        )
-                    else:
-                        status_info["status"] = "unavailable"
-                        status_info["error"] = (
-                            f"STT test failed: unexpected result type {type(text_result)}"
-                        )
-                        logger.warning(
-                            f"STT test for {status_info['name']} failed: unexpected result type {type(text_result)}",
-                        )
-            except Exception as e:
-                logger.error(
-                    f"Error testing STT provider {provider_name}: {e}",
-                    exc_info=True,
-                )
-                status_info["status"] = "unavailable"
-                status_info["error"] = f"STT test failed: {e!s}"
-        elif provider_capability_type == ProviderType.RERANK:
-            try:
-                assert isinstance(provider, RerankProvider)
-                await provider.rerank("Apple", documents=["apple", "banana"])
-                status_info["status"] = "available"
-            except Exception as e:
-                logger.error(
-                    f"Error testing rerank provider {provider_name}: {e}",
-                    exc_info=True,
-                )
-                status_info["status"] = "unavailable"
-                status_info["error"] = f"Rerank test failed: {e!s}"
-
-        else:
-            logger.debug(
-                f"Provider {provider_name} is not a Chat Completion or Embedding provider. Marking as available without test. Meta: {meta}",
-            )
+        try:
+            await provider.test()
             status_info["status"] = "available"
-            status_info["error"] = (
-                "This provider type is not tested and is assumed to be available."
+            logger.info(
+                f"Provider {status_info['name']} (ID: {status_info['id']}) is available.",
+            )
+        except Exception as e:
+            error_message = str(e)
+            status_info["error"] = error_message
+            logger.warning(
+                f"Provider {status_info['name']} (ID: {status_info['id']}) is unavailable. Error: {error_message}",
+            )
+            logger.debug(
+                f"Traceback for {status_info['name']}:\n{traceback.format_exc()}",
             )
 
         return status_info
@@ -598,9 +446,15 @@ class ConfigRoute(Route):
             return Response().error("缺少参数 provider_id").__dict__
 
         prov_mgr = self.core_lifecycle.provider_manager
-        provider: Provider | None = prov_mgr.inst_map.get(provider_id, None)
+        provider = prov_mgr.inst_map.get(provider_id, None)
         if not provider:
             return Response().error(f"未找到 ID 为 {provider_id} 的提供商").__dict__
+        if not isinstance(provider, Provider):
+            return (
+                Response()
+                .error(f"提供商 {provider_id} 类型不支持获取模型列表")
+                .__dict__
+            )
 
         try:
             models = await provider.get_models()
@@ -703,6 +557,15 @@ class ConfigRoute(Route):
 
     async def post_new_platform(self):
         new_platform_config = await request.json
+
+        # 如果是支持统一 webhook 模式的平台，且启用了统一 webhook 模式，自动生成 webhook_uuid
+        platform_type = new_platform_config.get("type", "")
+        if platform_type in WEBHOOK_SUPPORTED_PLATFORMS:
+            if new_platform_config.get("unified_webhook_mode", False):
+                # 如果没有 webhook_uuid 或为空，自动生成
+                if not new_platform_config.get("webhook_uuid"):
+                    new_platform_config["webhook_uuid"] = uuid.uuid4().hex[:16]
+
         self.config["platform"].append(new_platform_config)
         try:
             save_config(self.config, self.config, is_core=True)
@@ -732,6 +595,14 @@ class ConfigRoute(Route):
         if not platform_id or not new_config:
             return Response().error("参数错误").__dict__
 
+        # 如果是支持统一 webhook 模式的平台，且启用了统一 webhook 模式，确保有 webhook_uuid
+        platform_type = new_config.get("type", "")
+        if platform_type in WEBHOOK_SUPPORTED_PLATFORMS:
+            if new_config.get("unified_webhook_mode", False):
+                # 如果没有 webhook_uuid 或为空，自动生成
+                if not new_config.get("webhook_uuid"):
+                    new_config["webhook_uuid"] = uuid.uuid4().hex
+
         for i, platform in enumerate(self.config["platform"]):
             if platform["id"] == platform_id:
                 self.config["platform"][i] = new_config

astrbot/dashboard/routes/knowledge_base.py

@@ -48,6 +48,7 @@ class KnowledgeBaseRoute(Route):
             # 文档管理
             "/kb/document/list": ("GET", self.list_documents),
             "/kb/document/upload": ("POST", self.upload_document),
+            "/kb/document/upload/url": ("POST", self.upload_document_from_url),
             "/kb/document/upload/progress": ("GET", self.get_upload_progress),
             "/kb/document/get": ("GET", self.get_document),
             "/kb/document/delete": ("POST", self.delete_document),
@@ -59,10 +60,6 @@ class KnowledgeBaseRoute(Route):
             # "/kb/media/delete": ("POST", self.delete_media),
             # 检索
             "/kb/retrieve": ("POST", self.retrieve),
-            # 会话知识库配置
-            "/kb/session/config/get": ("GET", self.get_session_kb_config),
-            "/kb/session/config/set": ("POST", self.set_session_kb_config),
-            "/kb/session/config/delete": ("POST", self.delete_session_kb_config),
         }
         self.register_routes()
 
@@ -277,7 +274,7 @@ class KnowledgeBaseRoute(Route):
                 except Exception as e:
                     return (
                         Response()
-                        .error(f"测试重排序模型失败: {e!s}，请检查控制台日志输出。")
+                        .error(f"测试重排序模型失败: {e!s}，请检查平台日志输出。")
                         .__dict__
                     )
 
@@ -919,154 +916,173 @@ class KnowledgeBaseRoute(Route):
             logger.error(traceback.format_exc())
             return Response().error(f"检索失败: {e!s}").__dict__
 
-    # ===== 会话知识库配置 API =====
+    async def upload_document_from_url(self):
+        """从 URL 上传文档
 
-    async def get_session_kb_config(self):
-        """获取会话的知识库配置
-
-        Query 参数:
-        - session_id: 会话 ID (必填)
+        Body:
+        - kb_id: 知识库 ID (必填)
+        - url: 要提取内容的网页 URL (必填)
+        - chunk_size: 分块大小 (可选, 默认512)
+        - chunk_overlap: 块重叠大小 (可选, 默认50)
+        - batch_size: 批处理大小 (可选, 默认32)
+        - tasks_limit: 并发任务限制 (可选, 默认3)
+        - max_retries: 最大重试次数 (可选, 默认3)
 
         返回:
-        - kb_ids: 知识库 ID 列表
-        - top_k: 返回结果数量
-        - enable_rerank: 是否启用重排序
+        - task_id: 任务ID，用于查询上传进度和结果
         """
         try:
-            from astrbot.core import sp
-
-            session_id = request.args.get("session_id")
-
-            if not session_id:
-                return Response().error("缺少参数 session_id").__dict__
-
-            # 从 SharedPreferences 获取配置
-            config = await sp.session_get(session_id, "kb_config", default={})
-
-            logger.debug(f"[KB配置] 读取到配置: session_id={session_id}")
-
-            # 如果没有配置，返回默认值
-            if not config:
-                config = {"kb_ids": [], "top_k": 5, "enable_rerank": True}
-
-            return Response().ok(config).__dict__
-
-        except Exception as e:
-            logger.error(f"[KB配置] 获取配置时出错: {e}", exc_info=True)
-            return Response().error(f"获取会话知识库配置失败: {e!s}").__dict__
-
-    async def set_session_kb_config(self):
-        """设置会话的知识库配置
-
-        Body:
-        - scope: 配置范围 (目前只支持 "session")
-        - scope_id: 会话 ID (必填)
-        - kb_ids: 知识库 ID 列表 (必填)
-        - top_k: 返回结果数量 (可选, 默认 5)
-        - enable_rerank: 是否启用重排序 (可选, 默认 true)
-        """
-        try:
-            from astrbot.core import sp
-
+            kb_manager = self._get_kb_manager()
             data = await request.json
 
-            scope = data.get("scope")
-            scope_id = data.get("scope_id")
-            kb_ids = data.get("kb_ids", [])
-            top_k = data.get("top_k", 5)
-            enable_rerank = data.get("enable_rerank", True)
+            kb_id = data.get("kb_id")
+            if not kb_id:
+                return Response().error("缺少参数 kb_id").__dict__
 
-            # 验证参数
-            if scope != "session":
-                return Response().error("目前仅支持 session 范围的配置").__dict__
+            url = data.get("url")
+            if not url:
+                return Response().error("缺少参数 url").__dict__
 
-            if not scope_id:
-                return Response().error("缺少参数 scope_id").__dict__
+            chunk_size = data.get("chunk_size", 512)
+            chunk_overlap = data.get("chunk_overlap", 50)
+            batch_size = data.get("batch_size", 32)
+            tasks_limit = data.get("tasks_limit", 3)
+            max_retries = data.get("max_retries", 3)
+            enable_cleaning = data.get("enable_cleaning", False)
+            cleaning_provider_id = data.get("cleaning_provider_id")
 
-            if not isinstance(kb_ids, list):
-                return Response().error("kb_ids 必须是列表").__dict__
+            # 获取知识库
+            kb_helper = await kb_manager.get_kb(kb_id)
+            if not kb_helper:
+                return Response().error("知识库不存在").__dict__
 
-            # 验证知识库是否存在
-            kb_mgr = self._get_kb_manager()
-            invalid_ids = []
-            valid_ids = []
-            for kb_id in kb_ids:
-                kb_helper = await kb_mgr.get_kb(kb_id)
-                if kb_helper:
-                    valid_ids.append(kb_id)
-                else:
-                    invalid_ids.append(kb_id)
-                    logger.warning(f"[KB配置] 知识库不存在: {kb_id}")
+            # 生成任务ID
+            task_id = str(uuid.uuid4())
 
-            if invalid_ids:
-                logger.warning(f"[KB配置] 以下知识库ID无效: {invalid_ids}")
-
-            # 允许保存空列表，表示明确不使用任何知识库
-            if kb_ids and not valid_ids:
-                # 只有当用户提供了 kb_ids 但全部无效时才报错
-                return Response().error(f"所有提供的知识库ID都无效: {kb_ids}").__dict__
-
-            # 如果 kb_ids 为空列表，表示用户想清空配置
-            if not kb_ids:
-                valid_ids = []
-
-            # 构建配置对象（只保存有效的ID）
-            config = {
-                "kb_ids": valid_ids,
-                "top_k": top_k,
-                "enable_rerank": enable_rerank,
+            # 初始化任务状态
+            self.upload_tasks[task_id] = {
+                "status": "pending",
+                "result": None,
+                "error": None,
             }
 
-            # 保存到 SharedPreferences
-            await sp.session_put(scope_id, "kb_config", config)
+            # 启动后台任务
+            asyncio.create_task(
+                self._background_upload_from_url_task(
+                    task_id=task_id,
+                    kb_helper=kb_helper,
+                    url=url,
+                    chunk_size=chunk_size,
+                    chunk_overlap=chunk_overlap,
+                    batch_size=batch_size,
+                    tasks_limit=tasks_limit,
+                    max_retries=max_retries,
+                    enable_cleaning=enable_cleaning,
+                    cleaning_provider_id=cleaning_provider_id,
+                ),
+            )
 
-            # 立即验证是否保存成功
-            verify_config = await sp.session_get(scope_id, "kb_config", default={})
-
-            if verify_config == config:
-                return (
-                    Response()
-                    .ok(
-                        {"valid_ids": valid_ids, "invalid_ids": invalid_ids},
-                        "保存知识库配置成功",
-                    )
-                    .__dict__
+            return (
+                Response()
+                .ok(
+                    {
+                        "task_id": task_id,
+                        "url": url,
+                        "message": "URL upload task created, processing in background",
+                    },
                 )
-            logger.error("[KB配置] 配置保存失败，验证不匹配")
-            return Response().error("配置保存失败").__dict__
+                .__dict__
+            )
 
+        except ValueError as e:
+            return Response().error(str(e)).__dict__
         except Exception as e:
-            logger.error(f"[KB配置] 设置配置时出错: {e}", exc_info=True)
-            return Response().error(f"设置会话知识库配置失败: {e!s}").__dict__
-
-    async def delete_session_kb_config(self):
-        """删除会话的知识库配置
-
-        Body:
-        - scope: 配置范围 (目前只支持 "session")
-        - scope_id: 会话 ID (必填)
-        """
-        try:
-            from astrbot.core import sp
-
-            data = await request.json
-
-            scope = data.get("scope")
-            scope_id = data.get("scope_id")
-
-            # 验证参数
-            if scope != "session":
-                return Response().error("目前仅支持 session 范围的配置").__dict__
-
-            if not scope_id:
-                return Response().error("缺少参数 scope_id").__dict__
-
-            # 从 SharedPreferences 删除配置
-            await sp.session_remove(scope_id, "kb_config")
-
-            return Response().ok(message="删除知识库配置成功").__dict__
-
-        except Exception as e:
-            logger.error(f"删除会话知识库配置失败: {e}")
+            logger.error(f"从URL上传文档失败: {e}")
             logger.error(traceback.format_exc())
-            return Response().error(f"删除会话知识库配置失败: {e!s}").__dict__
+            return Response().error(f"从URL上传文档失败: {e!s}").__dict__
+
+    async def _background_upload_from_url_task(
+        self,
+        task_id: str,
+        kb_helper,
+        url: str,
+        chunk_size: int,
+        chunk_overlap: int,
+        batch_size: int,
+        tasks_limit: int,
+        max_retries: int,
+        enable_cleaning: bool,
+        cleaning_provider_id: str | None,
+    ):
+        """后台上传URL任务"""
+        try:
+            # 初始化任务状态
+            self.upload_tasks[task_id] = {
+                "status": "processing",
+                "result": None,
+                "error": None,
+            }
+            self.upload_progress[task_id] = {
+                "status": "processing",
+                "file_index": 0,
+                "file_total": 1,
+                "file_name": f"URL: {url}",
+                "stage": "extracting",
+                "current": 0,
+                "total": 100,
+            }
+
+            # 创建进度回调函数
+            async def progress_callback(stage, current, total):
+                if task_id in self.upload_progress:
+                    self.upload_progress[task_id].update(
+                        {
+                            "status": "processing",
+                            "file_index": 0,
+                            "file_name": f"URL: {url}",
+                            "stage": stage,
+                            "current": current,
+                            "total": total,
+                        },
+                    )
+
+            # 上传文档
+            doc = await kb_helper.upload_from_url(
+                url=url,
+                chunk_size=chunk_size,
+                chunk_overlap=chunk_overlap,
+                batch_size=batch_size,
+                tasks_limit=tasks_limit,
+                max_retries=max_retries,
+                progress_callback=progress_callback,
+                enable_cleaning=enable_cleaning,
+                cleaning_provider_id=cleaning_provider_id,
+            )
+
+            # 更新任务完成状态
+            result = {
+                "task_id": task_id,
+                "uploaded": [doc.model_dump()],
+                "failed": [],
+                "total": 1,
+                "success_count": 1,
+                "failed_count": 0,
+            }
+
+            self.upload_tasks[task_id] = {
+                "status": "completed",
+                "result": result,
+                "error": None,
+            }
+            self.upload_progress[task_id]["status"] = "completed"
+
+        except Exception as e:
+            logger.error(f"后台上传URL任务 {task_id} 失败: {e}")
+            logger.error(traceback.format_exc())
+            self.upload_tasks[task_id] = {
+                "status": "failed",
+                "result": None,
+                "error": str(e),
+            }
+            if task_id in self.upload_progress:
+                self.upload_progress[task_id]["status"] = "failed"

astrbot/dashboard/routes/platform.py

@@ -0,0 +1,100 @@
+"""统一 Webhook 路由
+
+提供统一的 webhook 回调入口，支持多个平台使用同一端口接收回调。
+"""
+
+from quart import request
+
+from astrbot.core import logger
+from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
+from astrbot.core.platform import Platform
+
+from .route import Response, Route, RouteContext
+
+
+class PlatformRoute(Route):
+    """统一 Webhook 路由"""
+
+    def __init__(
+        self,
+        context: RouteContext,
+        core_lifecycle: AstrBotCoreLifecycle,
+    ) -> None:
+        super().__init__(context)
+        self.core_lifecycle = core_lifecycle
+        self.platform_manager = core_lifecycle.platform_manager
+
+        self._register_webhook_routes()
+
+    def _register_webhook_routes(self):
+        """注册 webhook 路由"""
+        # 统一 webhook 入口，支持 GET 和 POST
+        self.app.add_url_rule(
+            "/api/platform/webhook/<webhook_uuid>",
+            view_func=self.unified_webhook_callback,
+            methods=["GET", "POST"],
+        )
+
+        # 平台统计信息接口
+        self.app.add_url_rule(
+            "/api/platform/stats",
+            view_func=self.get_platform_stats,
+            methods=["GET"],
+        )
+
+    async def unified_webhook_callback(self, webhook_uuid: str):
+        """统一 webhook 回调入口
+
+        Args:
+            webhook_uuid: 平台配置中的 webhook_uuid
+
+        Returns:
+            根据平台适配器返回相应的响应
+        """
+        # 根据 webhook_uuid 查找对应的平台
+        platform_adapter = self._find_platform_by_uuid(webhook_uuid)
+
+        if not platform_adapter:
+            logger.warning(f"未找到 webhook_uuid 为 {webhook_uuid} 的平台")
+            return Response().error("未找到对应平台").__dict__, 404
+
+        # 调用平台适配器的 webhook_callback 方法
+        try:
+            result = await platform_adapter.webhook_callback(request)
+            return result
+        except NotImplementedError:
+            logger.error(
+                f"平台 {platform_adapter.meta().name} 未实现 webhook_callback 方法"
+            )
+            return Response().error("平台未支持统一 Webhook 模式").__dict__, 500
+        except Exception as e:
+            logger.error(f"处理 webhook 回调时发生错误: {e}", exc_info=True)
+            return Response().error("处理回调失败").__dict__, 500
+
+    def _find_platform_by_uuid(self, webhook_uuid: str) -> Platform | None:
+        """根据 webhook_uuid 查找对应的平台适配器
+
+        Args:
+            webhook_uuid: webhook UUID
+
+        Returns:
+            平台适配器实例，未找到则返回 None
+        """
+        for platform in self.platform_manager.platform_insts:
+            if platform.config.get("webhook_uuid") == webhook_uuid:
+                if platform.config.get("unified_webhook_mode", False):
+                    return platform
+        return None
+
+    async def get_platform_stats(self):
+        """获取所有平台的统计信息
+
+        Returns:
+            包含平台统计信息的响应
+        """
+        try:
+            stats = self.platform_manager.get_all_stats()
+            return Response().ok(stats).__dict__
+        except Exception as e:
+            logger.error(f"获取平台统计信息失败: {e}", exc_info=True)
+            return Response().error(f"获取统计信息失败: {e}").__dict__, 500

astrbot/dashboard/routes/plugin.py

@@ -1,3 +1,4 @@
+import asyncio
 import json
 import os
 import ssl
@@ -19,6 +20,10 @@ from astrbot.core.star.star_manager import PluginManager
 
 from .route import Response, Route, RouteContext
 
+PLUGIN_UPDATE_CONCURRENCY = (
+    3  # limit concurrent updates to avoid overwhelming plugin sources
+)
+
 
 class PluginRoute(Route):
     def __init__(
@@ -33,6 +38,7 @@ class PluginRoute(Route):
             "/plugin/install": ("POST", self.install_plugin),
             "/plugin/install-upload": ("POST", self.install_plugin_upload),
             "/plugin/update": ("POST", self.update_plugin),
+            "/plugin/update-all": ("POST", self.update_all_plugins),
             "/plugin/uninstall": ("POST", self.uninstall_plugin),
             "/plugin/market_list": ("GET", self.get_online_plugins),
             "/plugin/off": ("POST", self.off_plugin),
@@ -63,7 +69,7 @@ class PluginRoute(Route):
                 .__dict__
             )
 
-        data = await request.json
+        data = await request.get_json()
         plugin_name = data.get("name", None)
         try:
             success, message = await self.plugin_manager.reload(plugin_name)
@@ -346,7 +352,7 @@ class PluginRoute(Route):
                 .__dict__
             )
 
-        post_data = await request.json
+        post_data = await request.get_json()
         repo_url = post_data["url"]
 
         proxy: str = post_data.get("proxy", None)
@@ -393,7 +399,7 @@ class PluginRoute(Route):
                 .__dict__
             )
 
-        post_data = await request.json
+        post_data = await request.get_json()
         plugin_name = post_data["name"]
         delete_config = post_data.get("delete_config", False)
         delete_data = post_data.get("delete_data", False)
@@ -418,7 +424,7 @@ class PluginRoute(Route):
                 .__dict__
             )
 
-        post_data = await request.json
+        post_data = await request.get_json()
         plugin_name = post_data["name"]
         proxy: str = post_data.get("proxy", None)
         try:
@@ -432,6 +438,59 @@ class PluginRoute(Route):
             logger.error(f"/api/plugin/update: {traceback.format_exc()}")
             return Response().error(str(e)).__dict__
 
+    async def update_all_plugins(self):
+        if DEMO_MODE:
+            return (
+                Response()
+                .error("You are not permitted to do this operation in demo mode")
+                .__dict__
+            )
+
+        post_data = await request.get_json()
+        plugin_names: list[str] = post_data.get("names") or []
+        proxy: str = post_data.get("proxy", "")
+
+        if not isinstance(plugin_names, list) or not plugin_names:
+            return Response().error("插件列表不能为空").__dict__
+
+        results = []
+        sem = asyncio.Semaphore(PLUGIN_UPDATE_CONCURRENCY)
+
+        async def _update_one(name: str):
+            async with sem:
+                try:
+                    logger.info(f"批量更新插件 {name}")
+                    await self.plugin_manager.update_plugin(name, proxy)
+                    return {"name": name, "status": "ok", "message": "更新成功"}
+                except Exception as e:
+                    logger.error(
+                        f"/api/plugin/update-all: 更新插件 {name} 失败: {traceback.format_exc()}",
+                    )
+                    return {"name": name, "status": "error", "message": str(e)}
+
+        raw_results = await asyncio.gather(
+            *(_update_one(name) for name in plugin_names),
+            return_exceptions=True,
+        )
+        for name, result in zip(plugin_names, raw_results):
+            if isinstance(result, asyncio.CancelledError):
+                raise result
+            if isinstance(result, BaseException):
+                results.append(
+                    {"name": name, "status": "error", "message": str(result)}
+                )
+            else:
+                results.append(result)
+
+        failed = [r for r in results if r["status"] == "error"]
+        message = (
+            "批量更新完成，全部成功。"
+            if not failed
+            else f"批量更新完成，其中 {len(failed)}/{len(results)} 个插件失败。"
+        )
+
+        return Response().ok({"results": results}, message).__dict__
+
     async def off_plugin(self):
         if DEMO_MODE:
             return (
@@ -440,7 +499,7 @@ class PluginRoute(Route):
                 .__dict__
             )
 
-        post_data = await request.json
+        post_data = await request.get_json()
         plugin_name = post_data["name"]
         try:
             await self.plugin_manager.turn_off_plugin(plugin_name)
@@ -458,7 +517,7 @@ class PluginRoute(Route):
                 .__dict__
             )
 
-        post_data = await request.json
+        post_data = await request.get_json()
         plugin_name = post_data["name"]
         try:
             await self.plugin_manager.turn_on_plugin(plugin_name)