stage

.dockerignore

@@ -1,9 +1,9 @@
 # Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio and WebStorm
 # Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
-# github actions
-.git
+# github acions
 .github/
 .*ignore
+.git/
 # User-specific stuff
 .idea/
 # Byte-compiled / optimized / DLL files
@@ -15,9 +15,10 @@ env/
 venv*/
 ENV/
 .conda/
+README*.md
 dashboard/
 data/
+changelogs/
 tests/
 .ruff_cache/
-.astrbot
-astrbot.lock
+.astrbot

.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.yml

@@ -16,7 +16,7 @@ body:
 
         请将插件信息填写到下方的 JSON 代码块中。其中 `tags`（插件标签）和 `social_link`（社交链接）选填。
 
-        不熟悉 JSON ？可以从 [此站](https://plugins.astrbot.app) 右下角提交。
+        不熟悉 JSON ？现在可以从 [这里](https://plugins.astrbot.app/#/submit) 获取你的 JSON 啦！获取到了记得复制粘贴过来哦！
 
   - type: textarea
     id: plugin-info
@@ -26,13 +26,12 @@ body:
       value: |
         ```json
         {
-          "name": "插件名，请以 astrbot_plugin_ 开头",
-          "display_name": "用于展示的插件名，方便人类阅读",
-          "desc": "插件的简短介绍",
+          "name": "插件名",
+          "desc": "插件介绍",
           "author": "作者名",
           "repo": "插件仓库链接",
           "tags": [],
-          "social_link": "",
+          "social_link": ""
         }
         ```
     validations:

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,44 +1,46 @@
-name: '🐛 Report Bug / 报告 Bug'
+name: '🐛 报告 Bug'
 title: '[Bug]'
-description: Submit bug report to help us improve. / 提交报告帮助我们改进。
+description: 提交报告帮助我们改进。
 labels: [ 'bug' ]
 body:
   - type: markdown
     attributes:
       value: |
-        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。
+        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）。
   - type: textarea
     attributes:
-      label: What happened / 发生了什么
-      description: Description
+      label: 发生了什么
+      description: 描述你遇到的异常
       placeholder: >
-        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。
+        一个清晰且具体的描述这个异常是什么。
     validations:
       required: true
 
   - type: textarea
     attributes:
-      label: Reproduce / 如何复现？
+      label: 如何复现？
       description: >
-        The steps to reproduce the issue. / 复现该问题的步骤
+        复现该问题的步骤
       placeholder: >
-        Example: 1. Open '...'
+        如: 1. 打开 '...'
     validations:
       required: true
 
   - type: textarea
     attributes:
-      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
+      label: AstrBot 版本、部署方式（如 Windows Docker Desktop 部署）、使用的提供商、使用的消息平台适配器
+      description: >
+        请提供您的 AstrBot 版本和部署方式。
       placeholder: >
-        Example: 4.5.7 Docker, 3.1.7 Windows Launcher
+        如: 3.1.8 Docker, 3.1.7 Windows启动器
     validations:
       required: true
 
   - type: dropdown
     attributes:
-      label: OS
+      label: 操作系统
       description: |
-        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？
+        你在哪个操作系统上遇到了这个问题？
       multiple: false
       options:
         - 'Windows'
@@ -51,30 +53,30 @@ body:
 
   - type: textarea
     attributes:
-      label: Logs / 报错日志
+      label: 报错日志
       description: >
-        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。
+        如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！
       placeholder: >
-        Please provide a complete error log or screenshot. / 请提供完整的报错日志或截图。
+        请提供完整的报错日志或截图。
     validations:
       required: true
 
   - type: checkboxes
     attributes:
-      label: Are you willing to submit a PR? / 你愿意提交 PR 吗？
+      label: 你愿意提交 PR 吗？
       description: >
-        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。
+        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: Yes!
+        - label: 是的，我愿意提交 PR!
 
   - type: checkboxes
     attributes:
       label: Code of Conduct
       options:
         - label: >
-            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)。
+            我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
           required: true
 
   - type: markdown
     attributes:
-      value: "Thank you for filling out our form! / 感谢您填写我们的表单！"
+      value: "感谢您填写我们的表单！"

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -1,40 +1,42 @@
 
-name: '🎉 Feature Request / 功能建议'
+name: '🎉 功能建议'
 title: "[Feature]"
-description: Submit a suggestion to help us improve. / 提交建议帮助我们改进。
+description: 提交建议帮助我们改进。
 labels: [ "enhancement" ]
 body:
   - type: markdown
     attributes:
       value: |
-        Thank you for taking the time to suggest a new feature! Please explain your idea clearly and accurately. / 感谢您抽出时间提出新功能建议，请准确解释您的想法。
+        感谢您抽出时间提出新功能建议，请准确解释您的想法。
 
   - type: textarea
     attributes:
-      label: Description / 描述
-      description: Please describe the feature you want to be added in detail. / 请详细描述您希望添加的功能。
+      label: 描述
+      description: 简短描述您的功能建议。
 
   - type: textarea
     attributes:
-      label: Use Case / 使用场景
-      description: Please describe the use case for this feature. / 请描述这个功能的使用场景。
+      label: 使用场景
+      description: 你想要发生什么？
+      placeholder: >
+        一个清晰且具体的描述这个功能的使用场景。
 
   - type: checkboxes
     attributes:
-      label: Willing to Submit PR? / 是否愿意提交PR？
+      label: 你愿意提交PR吗?
       description: >
-        This is not required, but if you are willing to submit a PR to implement this feature, it would be greatly appreciated! / 这不是必需的，但如果您愿意提交 PR 来实现这个功能，我们将不胜感激！
+        这不是必须的，但我们欢迎您的贡献。
       options:
-        - label: Yes, I am willing to submit a PR. / 是的，我愿意提交 PR。
+        - label: 是的, 我愿意提交PR!
 
   - type: checkboxes
     attributes:
       label: Code of Conduct
       options:
         - label: >
-            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). /
+            我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
           required: true
 
   - type: markdown
     attributes:
-      value: "Thank you for filling out our form!"
+      value: "感谢您填写我们的表单！"

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,34 +1,46 @@
-<!--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）-->
+<!-- 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)-->
 
 ### Modifications / 改动点
 
-<!--Please summarize your changes: What core files were modified? What functionality was implemented?-->
 <!--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?-->
 
-- [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 -->
+### Verification Steps / 验证步骤
+
+<!--请为审查者 (Reviewer) 提供清晰、可复现的验证步骤（例如：1. 导航到... 2. 点击...）。-->
+<!--Please provide clear and reproducible verification steps for the Reviewer (e.g., 1. Navigate to... 2. Click...).-->
 
 ### Screenshots or Test Results / 运行截图或测试结果
 
-<!--Please paste screenshots, GIFs, or test logs here as evidence of executing the "Verification Steps" to prove this change is effective.-->
 <!--请粘贴截图、GIF 或测试日志，作为执行“验证步骤”的证据，证明此改动有效。-->
+<!--Please paste screenshots, GIFs, or test logs here as evidence of executing the "Verification Steps" to prove this change is effective.-->
+
+### Compatibility & Breaking Changes / 兼容性与破坏性变更
+
+<!--请说明此变更的兼容性：哪些是破坏性变更？哪些地方做了向后兼容处理？是否提供了数据迁移方法？-->
+<!--Please explain the compatibility of this change: What are the breaking changes? What backward-compatible measures were taken? Are data migration paths provided?-->
+
+- [ ] 这是一个破坏性变更 (Breaking Change)。/ This is a breaking change.
+- [ ] 这不是一个破坏性变更。/ This is NOT a breaking change.
 
 ---
 
 ### Checklist / 检查清单
 
-<!--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。-->
+<!--If merged, your code will serve tens of thousands of users! Please double-check the following items before submitting.-->
 
-- [ ] 😊 If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc. 
-  / 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。
-
-- [ ] 👀 My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
-  / 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”**。
-
-- [ ] 🤓 I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
-  / 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到 `requirements.txt` 和 `pyproject.toml` 文件相应位置。
-
-- [ ] 😮 My changes do not introduce malicious code.
-  / 我的更改没有引入恶意代码。
+- [ ] 😊 如果 PR 中有新加入的功能，已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
+- [ ] 👀 我的更改经过了良好的测试，**并已在上方提供了“验证步骤”和“运行截图”**。/ My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
+- [ ] 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到了 `requirements.txt` 和 `pyproject.toml` 文件相应位置。/ I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
+- [ ] 😮 我的更改没有引入恶意代码。/ My changes do not introduce malicious code.

.github/auto_assign.yml

@@ -11,8 +11,6 @@ reviewers:
   - Larch-C
   - anka-afk
   - advent259141
-  - Fridemn
-  - LIghtJUNction
   # - zouyonghe
 
 # A number of reviewers added to the pull request

.github/copilot-instructions.md

@@ -15,6 +15,7 @@ Always reference these instructions first and fallback to search or bash command
 ### Running the Application
 - Run main application: `uv run main.py` -- starts in ~3 seconds
 - Application creates WebUI on http://localhost:6185 (default credentials: `astrbot`/`astrbot`)
+- Application loads plugins automatically from `packages/` and `data/plugins/` directories
 
 ### Dashboard Build (Vue.js/Node.js)
 - **Prerequisites**: Node.js 20+ and npm 10+ required
@@ -34,7 +35,7 @@ Always reference these instructions first and fallback to search or bash command
 - **ALWAYS** run `uv run ruff check .` and `uv run ruff format .` before committing changes
 
 ### Plugin Development
-- Plugins load from `astrbot/builtin_stars/` (built-in) and `data/plugins/` (user-installed)
+- Plugins load from `packages/` (built-in) and `data/plugins/` (user-installed)
 - Plugin system supports function tools and message handlers
 - Key plugins: python_interpreter, web_searcher, astrbot, reminder, session_controller
 

.github/workflows/auto_release.yml

@@ -0,0 +1,92 @@
+on:
+  push:
+    tags:
+      - 'v*'
+  workflow_dispatch:
+
+name: Auto Release
+
+jobs:
+  build-and-publish-to-github-release:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v5
+
+      - name: Dashboard Build
+        run: |
+          cd dashboard
+          npm install
+          npm run build
+          echo "COMMIT_SHA=$(git rev-parse HEAD)" >> $GITHUB_ENV
+          echo ${{ github.ref_name }} > dist/assets/version
+          zip -r dist.zip dist
+      
+      - name: Upload to Cloudflare R2
+        env:
+          R2_ACCOUNT_ID: ${{ secrets.R2_ACCOUNT_ID }}
+          R2_ACCESS_KEY_ID: ${{ secrets.R2_ACCESS_KEY_ID }}
+          R2_SECRET_ACCESS_KEY: ${{ secrets.R2_SECRET_ACCESS_KEY }}
+          R2_BUCKET_NAME: "astrbot"
+          R2_OBJECT_NAME: "astrbot-webui-latest.zip"
+          VERSION_TAG: ${{ github.ref_name }}
+        run: |
+          echo "Installing rclone..."
+          curl https://rclone.org/install.sh | sudo bash
+
+          echo "Configuring rclone remote..."
+          mkdir -p ~/.config/rclone
+          cat <<EOF > ~/.config/rclone/rclone.conf
+          [r2]
+          type = s3
+          provider = Cloudflare
+          access_key_id = $R2_ACCESS_KEY_ID
+          secret_access_key = $R2_SECRET_ACCESS_KEY
+          endpoint = https://${R2_ACCOUNT_ID}.r2.cloudflarestorage.com
+          EOF
+
+          echo "Uploading dist.zip to R2 bucket: $R2_BUCKET_NAME/$R2_OBJECT_NAME"
+          mv dashboard/dist.zip dashboard/$R2_OBJECT_NAME
+          rclone copy dashboard/$R2_OBJECT_NAME r2:$R2_BUCKET_NAME --progress
+          mv dashboard/$R2_OBJECT_NAME dashboard/astrbot-webui-${VERSION_TAG}.zip
+          rclone copy dashboard/astrbot-webui-${VERSION_TAG}.zip r2:$R2_BUCKET_NAME --progress
+          mv dashboard/astrbot-webui-${VERSION_TAG}.zip dashboard/dist.zip
+
+      - name: Fetch Changelog
+        run: |
+          echo "changelog=changelogs/${{github.ref_name}}.md" >> "$GITHUB_ENV"
+
+      - name: Create GitHub Release
+        uses: ncipollo/release-action@v1
+        with:
+          bodyFile: ${{ env.changelog }}
+          artifacts: "dashboard/dist.zip"
+      
+  build-and-publish-to-pypi:
+    # 构建并发布到 PyPI
+    runs-on: ubuntu-latest
+    needs: build-and-publish-to-github-release
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v5
+
+      - name: Set up Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: '3.10'
+
+      - name: Install uv
+        run: |
+          python -m pip install uv
+
+      - name: Build package
+        run: |
+          uv build
+
+      - name: Publish to PyPI
+        env:
+          UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN }}
+        run: |
+          uv publish

.github/workflows/build-docs.yml

@@ -1,49 +0,0 @@
-name: release
-
-on:
-  push:
-    tags:
-      - 'v*'
-  workflow_dispatch:
-
-jobs:
-  build:
-    runs-on: ubuntu-latest # 运行环境
-    steps:
-      - name: checkout
-        uses: actions/checkout@v6
-      - name: Setup pnpm
-        uses: pnpm/action-setup@v6.0.9
-        with:
-          version: 10.28.2
-      - name: Setup Node.js
-        uses: actions/setup-node@v6
-        with:
-          node-version: "24.13.0"
-          cache: "pnpm"
-          cache-dependency-path: docs/pnpm-lock.yaml
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-        working-directory: './docs'
-      - name: Build docs
-        run: pnpm run docs:build
-        working-directory: './docs'
-      - name: scp
-        uses: appleboy/scp-action@v1.0.0
-        with:
-          host: ${{ secrets.HOST_NEKO }}
-          username: ${{ secrets.USERNAME }}
-          password: ${{ secrets.PASSWORDNEKO }}
-          source: 'docs/.vitepress/dist/*'
-          target: '/tmp/'
-      - name: script
-        uses: appleboy/ssh-action@v1.2.5
-        with:
-          host: ${{ secrets.HOST_NEKO }}
-          username: ${{ secrets.USERNAME }}
-          password: ${{ secrets.PASSWORDNEKO }}
-          script: |
-            mkdir -p /root/docker_data/caddy/caddy_data/static_site/abv4/
-            rm -rf /root/docker_data/caddy/caddy_data/static_site/abv4/*
-            mv /tmp/docs/.vitepress/dist/* /root/docker_data/caddy/caddy_data/static_site/abv4/
-            rm -rf /tmp/docs/

.github/workflows/code-format.yml

@@ -12,12 +12,12 @@ jobs:
     
     steps:
     - name: Checkout code
-      uses: actions/checkout@v6
+      uses: actions/checkout@v5
       
     - name: Set up Python
       uses: actions/setup-python@v6
       with:
-        python-version: '3.12'
+        python-version: '3.10'
         
     - name: Install UV
       run: pip install uv

.github/workflows/codeql.yml

@@ -56,11 +56,11 @@ 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@v6
+      uses: actions/checkout@v5
 
     # Initializes the CodeQL tools for scanning.
     - name: Initialize CodeQL
-      uses: github/codeql-action/init@v4
+      uses: github/codeql-action/init@v3
       with:
         languages: ${{ matrix.language }}
         build-mode: ${{ matrix.build-mode }}
@@ -88,6 +88,6 @@ jobs:
         exit 1
 
     - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v4
+      uses: github/codeql-action/analyze@v3
       with:
         category: "/language:${{matrix.language}}"

.github/workflows/coverage_test.yml

@@ -17,7 +17,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
-        uses: actions/checkout@v6
+        uses: actions/checkout@v5
         with:
           fetch-depth: 0
 
@@ -37,10 +37,9 @@ jobs:
           mkdir -p data/temp
           export TESTING=true
           export ZHIPU_API_KEY=${{ secrets.OPENAI_API_KEY }}
-          pytest --cov=astrbot -v -o log_cli=true -o log_level=DEBUG
+          pytest --cov=. -v -o log_cli=true -o log_level=DEBUG
 
       - name: Upload results to Codecov
-        if: github.repository == 'AstrBotDevs/AstrBot'
-        uses: codecov/codecov-action@v7
+        uses: codecov/codecov-action@v5
         with:
           token: ${{ secrets.CODECOV_TOKEN }}

.github/workflows/dashboard_ci.yml

@@ -8,29 +8,16 @@ on:
 
 jobs:
   build:
-    if: github.repository == 'AstrBotDevs/AstrBot'
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v6
+        uses: actions/checkout@v5
 
-      - name: Setup pnpm
-        uses: pnpm/action-setup@v6.0.9
-        with:
-          version: 10.28.2
-
-      - name: Setup Node.js
-        uses: actions/setup-node@v6
-        with:
-          node-version: '24.13.0'
-          cache: "pnpm"
-          cache-dependency-path: dashboard/pnpm-lock.yaml
-
-      - name: Install and Build
-        working-directory: dashboard
+      - name: npm install, build
         run: |
-          pnpm install --frozen-lockfile
-          pnpm run build
+          cd dashboard
+          npm install
+          npm run build
 
       - name: Inject Commit SHA
         id: get_sha
@@ -42,7 +29,7 @@ jobs:
           zip -r dist.zip dist
 
       - name: Archive production artifacts
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v4
         with:
           name: dist-without-markdown
           path: |
@@ -51,11 +38,11 @@ jobs:
 
       - name: Create GitHub Release
         if: github.event_name == 'push'
-        uses: ncipollo/release-action@v1.21.0
+        uses: ncipollo/release-action@v1
         with:
           tag: release-${{ github.sha }}
           owner: AstrBotDevs
           repo: astrbot-release-harbour
           body: "Automated release from commit ${{ github.sha }}"
           token: ${{ secrets.ASTRBOT_HARBOUR_TOKEN }}
-          artifacts: "dashboard/dist.zip"
+          artifacts: "dashboard/dist.zip"

.github/workflows/docker-image.yml

@@ -3,125 +3,18 @@ name: Docker Image CI/CD
 on:
   push:
     tags:
-      - "v*"
-  schedule:
-    # Run at 00:00 UTC every day
-    - cron: "0 0 * * *"
+      - 'v*'
   workflow_dispatch:
 
 jobs:
-  build-nightly-image:
-    if: github.repository == 'AstrBotDevs/AstrBot' && github.event_name == 'schedule'
+  publish-docker:
     runs-on: ubuntu-latest
-    env:
-      DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
-      GHCR_OWNER: astrbotdevs
-      HAS_GHCR_TOKEN: ${{ secrets.GHCR_GITHUB_TOKEN != '' }}
 
     steps:
-      - name: Checkout
-        uses: actions/checkout@v6
+      - name: Pull The Codes
+        uses: actions/checkout@v5
         with:
-          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@v4.1.0
-
-      - name: Set Docker Buildx
-        uses: docker/setup-buildx-action@v4.1.0
-
-      - name: Log in to DockerHub
-        uses: docker/login-action@v4.2.0
-        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@v4.2.0
-        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@v7.2.0
-        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.repository == 'AstrBotDevs/AstrBot' && (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: astrbotdevs
-      HAS_GHCR_TOKEN: ${{ secrets.GHCR_GITHUB_TOKEN != '' }}
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 1
-          fetch-tag: true
+          fetch-depth: 0  # Must be 0 so we can fetch tags
 
       - name: Get latest tag (only on manual trigger)
         id: get-latest-tag
@@ -134,22 +27,21 @@ jobs:
         if: github.event_name == 'workflow_dispatch'
         run: git checkout ${{ steps.get-latest-tag.outputs.latest_tag }}
 
-      - name: Compute release metadata
-        id: release-meta
+      - name: Check if version is pre-release
+        id: check-prerelease
         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#refs/tags/}"
+            version="${{ github.ref_name }}"
           fi
           if [[ "$version" == *"beta"* ]] || [[ "$version" == *"alpha"* ]]; then
             echo "is_prerelease=true" >> $GITHUB_OUTPUT
-            echo "Version $version marked as pre-release"
+            echo "Version $version is a pre-release, will not push latest tag"
           else
             echo "is_prerelease=false" >> $GITHUB_OUTPUT
-            echo "Version $version marked as stable"
+            echo "Version $version is a stable release, will push latest tag"
           fi
-          echo "version=$version" >> $GITHUB_OUTPUT
 
       - name: Build Dashboard
         run: |
@@ -163,36 +55,35 @@ jobs:
           cp -r dashboard/dist data/
 
       - name: Set QEMU
-        uses: docker/setup-qemu-action@v4.1.0
+        uses: docker/setup-qemu-action@v3
 
       - name: Set Docker Buildx
-        uses: docker/setup-buildx-action@v4.1.0
+        uses: docker/setup-buildx-action@v3
 
       - name: Log in to DockerHub
-        uses: docker/login-action@v4.2.0
+        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@v4.2.0
+        uses: docker/login-action@v3
         with:
           registry: ghcr.io
-          username: ${{ env.GHCR_OWNER }}
+          username: Soulter
           password: ${{ secrets.GHCR_GITHUB_TOKEN }}
 
-      - name: Build and Push Release Image
-        uses: docker/build-push-action@v7.2.0
+      - name: Build and Push Docker to DockerHub and Github GHCR
+        uses: docker/build-push-action@v6
         with:
           context: .
           platforms: linux/amd64,linux/arm64
           push: true
           tags: |
-            ${{ 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) || '' }}
+            ${{ 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 }}
 
       - name: Post build notifications
-        run: echo "Release Docker image has been built and pushed successfully"
+        run: echo "Docker image has been built and pushed successfully"

.github/workflows/pr-title-check.yml

@@ -1,64 +0,0 @@
-name: PR Title Check
-
-on:
-  pull_request_target:
-    types: [opened, edited, reopened, synchronize]
-
-jobs:
-  title-format:
-    if: github.repository == 'AstrBotDevs/AstrBot'
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-      issues: write
-
-    steps:
-      - name: Validate PR title
-        uses: actions/github-script@v9
-        with:
-          script: |
-            const title = (context.payload.pull_request.title || "").trim();
-            // Allow Conventional Commit style PR titles.
-            // Examples:
-            // feat: xxx
-            // feat(scope): xxx
-            // fix: xxx
-            // fix(scope): xxx
-            const allowedTypes = "feat|fix|docs|style|refactor|perf|test|chore|ci|build|revert";
-            const pattern = new RegExp(`^(${allowedTypes})(\\([a-z0-9-]+\\))?:\\s.+$`, "i");
-            const isValid = pattern.test(title);
-            const isSameRepo =
-              context.payload.pull_request.head.repo.full_name === context.payload.repository.full_name;
-
-            if (!isValid) {
-              if (isSameRepo) {
-                try {
-                  await github.rest.issues.createComment({
-                    owner: context.repo.owner,
-                    repo: context.repo.repo,
-                    issue_number: context.payload.pull_request.number,
-                    body: [
-                      "⚠️ PR title format check failed.",
-                      "Required formats:",
-                      "- `feat: xxx`",
-                      "- `feat(scope): xxx`",
-                      "- `fix: xxx`",
-                      "- `fix(scope): xxx`",
-                      "- `chore: xxx`",
-                      "",
-                      "Allowed prefixes:",
-                      "`feat`, `fix`, `docs`, `style`, `refactor`, `perf`, `test`, `chore`, `ci`, `build`, `revert`",
-                      "Please update your PR title and push again."
-                    ].join("\n")
-                  });
-                } catch (e) {
-                  core.warning(`Failed to post PR title comment: ${e.message}`);
-                }
-              } else {
-                core.warning("Fork PR: comment permission is restricted; skip posting review comment.");
-              }
-            }
-
-            if (!isValid) {
-              core.setFailed("Invalid PR title. Expected Conventional Commit format, e.g. feat: xxx, feat(scope): xxx, or fix: xxx.");
-            }

.github/workflows/release.yml

@@ -1,265 +0,0 @@
-name: Release
-
-on:
-  push:
-    tags:
-      - "v*"
-  workflow_dispatch:
-    inputs:
-      ref:
-        description: "Git ref to build (branch/tag/SHA)"
-        required: false
-        default: "master"
-      tag:
-        description: "Release tag to publish assets to (for example: v4.14.6)"
-        required: false
-
-permissions:
-  contents: write
-
-jobs:
-  build-dashboard:
-    name: Build Dashboard
-    if: github.repository == 'AstrBotDevs/AstrBot'
-    runs-on: ubuntu-24.04
-    env:
-      R2_ACCOUNT_ID: ${{ secrets.R2_ACCOUNT_ID }}
-      R2_ACCESS_KEY_ID: ${{ secrets.R2_ACCESS_KEY_ID }}
-      R2_SECRET_ACCESS_KEY: ${{ secrets.R2_SECRET_ACCESS_KEY }}
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-          ref: ${{ inputs.ref || github.ref }}
-
-      - name: Resolve tag
-        id: tag
-        shell: bash
-        run: |
-          if [ "${{ github.event_name }}" = "push" ]; then
-            tag="${GITHUB_REF_NAME}"
-          elif [ -n "${{ inputs.tag }}" ]; then
-            tag="${{ inputs.tag }}"
-          else
-            tag="$(git describe --tags --abbrev=0)"
-          fi
-          if [ -z "$tag" ]; then
-            echo "Failed to resolve tag." >&2
-            exit 1
-          fi
-          echo "tag=$tag" >> "$GITHUB_OUTPUT"
-
-      - name: Setup pnpm
-        uses: pnpm/action-setup@v6.0.9
-        with:
-          version: 10.28.2
-
-      - name: Setup Node.js
-        uses: actions/setup-node@v6
-        with:
-          node-version: '24.13.0'
-          cache: "pnpm"
-          cache-dependency-path: dashboard/pnpm-lock.yaml
-
-      - name: Build dashboard dist
-        shell: bash
-        working-directory: dashboard
-        run: |
-          pnpm install --frozen-lockfile
-          pnpm run build
-          echo "${{ steps.tag.outputs.tag }}" > dist/assets/version
-          zip -r "AstrBot-${{ steps.tag.outputs.tag }}-dashboard.zip" dist
-
-      - name: Build core package
-        shell: bash
-        run: |
-          git archive \
-            --format=zip \
-            --prefix="AstrBot-${{ steps.tag.outputs.tag }}/" \
-            --output="AstrBot-${{ steps.tag.outputs.tag }}-core.zip" \
-            HEAD
-
-      - name: Upload dashboard artifact
-        uses: actions/upload-artifact@v7
-        with:
-          name: Dashboard-${{ steps.tag.outputs.tag }}
-          if-no-files-found: error
-          path: dashboard/AstrBot-${{ steps.tag.outputs.tag }}-dashboard.zip
-
-      - name: Upload release packages to Cloudflare R2
-        if: ${{ env.R2_ACCOUNT_ID != '' && env.R2_ACCESS_KEY_ID != '' && env.R2_SECRET_ACCESS_KEY != '' }}
-        env:
-          R2_BUCKET_NAME: "astrbot"
-          DASHBOARD_LATEST_OBJECT_NAME: "astrbot-webui-latest.zip"
-          CORE_LATEST_OBJECT_NAME: "astrbot-core-latest.zip"
-          VERSION_TAG: ${{ steps.tag.outputs.tag }}
-        shell: bash
-        run: |
-          curl https://rclone.org/install.sh | sudo bash
-
-          mkdir -p ~/.config/rclone
-          cat <<EOF > ~/.config/rclone/rclone.conf
-          [r2]
-          type = s3
-          provider = Cloudflare
-          access_key_id = $R2_ACCESS_KEY_ID
-          secret_access_key = $R2_SECRET_ACCESS_KEY
-          endpoint = https://${R2_ACCOUNT_ID}.r2.cloudflarestorage.com
-          EOF
-
-          cp "dashboard/AstrBot-${VERSION_TAG}-dashboard.zip" "dashboard/${DASHBOARD_LATEST_OBJECT_NAME}"
-          rclone copy "dashboard/${DASHBOARD_LATEST_OBJECT_NAME}" "r2:${R2_BUCKET_NAME}" --progress
-          cp "dashboard/AstrBot-${VERSION_TAG}-dashboard.zip" "dashboard/astrbot-webui-${VERSION_TAG}.zip"
-          rclone copy "dashboard/astrbot-webui-${VERSION_TAG}.zip" "r2:${R2_BUCKET_NAME}" --progress
-
-          cp "AstrBot-${VERSION_TAG}-core.zip" "${CORE_LATEST_OBJECT_NAME}"
-          rclone copy "${CORE_LATEST_OBJECT_NAME}" "r2:${R2_BUCKET_NAME}" --progress
-          cp "AstrBot-${VERSION_TAG}-core.zip" "astrbot-core-${VERSION_TAG}.zip"
-          rclone copy "astrbot-core-${VERSION_TAG}.zip" "r2:${R2_BUCKET_NAME}" --progress
-          rclone copyto "AstrBot-${VERSION_TAG}-core.zip" "r2:${R2_BUCKET_NAME}/astrbot-core/${VERSION_TAG}/source.zip" --progress
-          rclone copyto "AstrBot-${VERSION_TAG}-core.zip" "r2:${R2_BUCKET_NAME}/download/astrbot-core/${VERSION_TAG}/source.zip" --progress
-
-  publish-release:
-    name: Publish GitHub Release
-    if: github.repository == 'AstrBotDevs/AstrBot'
-    runs-on: ubuntu-24.04
-    needs:
-      - build-dashboard
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-          ref: ${{ inputs.ref || github.ref }}
-
-      - name: Resolve tag
-        id: tag
-        shell: bash
-        run: |
-          if [ "${{ github.event_name }}" = "push" ]; then
-            tag="${GITHUB_REF_NAME}"
-          elif [ -n "${{ inputs.tag }}" ]; then
-            tag="${{ inputs.tag }}"
-          else
-            tag="$(git describe --tags --abbrev=0)"
-          fi
-          if [ -z "$tag" ]; then
-            echo "Failed to resolve tag." >&2
-            exit 1
-          fi
-          echo "tag=$tag" >> "$GITHUB_OUTPUT"
-
-      - name: Download dashboard artifact
-        uses: actions/download-artifact@v8
-        with:
-          name: Dashboard-${{ steps.tag.outputs.tag }}
-          path: release-assets
-
-
-      - name: Resolve release notes
-        id: notes
-        shell: bash
-        run: |
-          note_file="changelogs/${{ steps.tag.outputs.tag }}.md"
-          if [ ! -f "$note_file" ]; then
-            note_file="$(mktemp)"
-            echo "Release ${{ steps.tag.outputs.tag }}" > "$note_file"
-          fi
-          echo "file=$note_file" >> "$GITHUB_OUTPUT"
-
-      - name: Ensure release exists
-        env:
-          GH_TOKEN: ${{ github.token }}
-        shell: bash
-        run: |
-          tag="${{ steps.tag.outputs.tag }}"
-          if ! gh release view "$tag" >/dev/null 2>&1; then
-            gh release create "$tag" --title "$tag" --notes-file "${{ steps.notes.outputs.file }}"
-          fi
-
-      - name: Remove stale assets from release
-        env:
-          GH_TOKEN: ${{ github.token }}
-        shell: bash
-        run: |
-          tag="${{ steps.tag.outputs.tag }}"
-          while IFS= read -r asset; do
-            case "$asset" in
-              *.AppImage|*.dmg|*.zip|*.exe|*.blockmap)
-                gh release delete-asset "$tag" "$asset" -y || true
-                ;;
-            esac
-          done < <(gh release view "$tag" --json assets --jq '.assets[].name')
-
-      - name: Upload assets to release
-        env:
-          GH_TOKEN: ${{ github.token }}
-        shell: bash
-        run: |
-          tag="${{ steps.tag.outputs.tag }}"
-          gh release upload "$tag" release-assets/* --clobber
-
-  publish-pypi:
-    name: Publish PyPI
-    if: github.repository == 'AstrBotDevs/AstrBot'
-    runs-on: ubuntu-24.04
-    needs:
-      - publish-release
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-          ref: ${{ inputs.ref || github.ref }}
-
-      - name: Resolve tag
-        id: tag
-        shell: bash
-        run: |
-          if [ "${{ github.event_name }}" = "push" ]; then
-            tag="${GITHUB_REF_NAME}"
-          elif [ -n "${{ inputs.tag }}" ]; then
-            tag="${{ inputs.tag }}"
-          else
-            tag="$(git describe --tags --abbrev=0)"
-          fi
-          if [ -z "$tag" ]; then
-            echo "Failed to resolve tag." >&2
-            exit 1
-          fi
-          echo "tag=$tag" >> "$GITHUB_OUTPUT"
-
-      - name: Download dashboard artifact
-        uses: actions/download-artifact@v8
-        with:
-          name: Dashboard-${{ steps.tag.outputs.tag }}
-          path: dashboard-artifact
-
-      - name: Unpack dashboard dist into package tree
-        shell: bash
-        run: |
-          mkdir -p astrbot/dashboard/dist
-          unzip -q "dashboard-artifact/AstrBot-${{ steps.tag.outputs.tag }}-dashboard.zip" -d dashboard-artifact/unpacked
-          cp -r dashboard-artifact/unpacked/dist/. astrbot/dashboard/dist/
-
-      - name: Set up Python
-        uses: actions/setup-python@v6
-        with:
-          python-version: "3.10"
-
-      - name: Install uv
-        shell: bash
-        run: python -m pip install uv
-
-      - name: Build package
-        shell: bash
-        # Dashboard assets are already in astrbot/dashboard/dist/;
-        # ASTRBOT_BUILD_DASHBOARD is intentionally unset so the hatch hook skips npm.
-        run: uv build
-
-      - name: Publish to PyPI
-        env:
-          UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN }}
-        shell: bash
-        run: uv publish

.github/workflows/smoke_test.yml

@@ -1,59 +0,0 @@
-name: Smoke Test
-
-on:
-  push:
-    branches:
-      - master
-    paths-ignore:
-      - 'README*.md'
-      - 'changelogs/**'
-      - 'dashboard/**'
-  pull_request:
-  workflow_dispatch:
-
-jobs:
-  smoke-test:
-    name: Smoke test (${{ matrix.os }}, Python ${{ matrix.python-version }})
-    runs-on: ${{ matrix.os }}
-    timeout-minutes: 10
-    strategy:
-      fail-fast: false
-      matrix:
-        os:
-          - ubuntu-latest
-          - macos-latest
-          - windows-latest
-        python-version:
-          - '3.10'
-          - '3.11'
-          - '3.12'
-          - '3.13'
-          - '3.14'
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-
-      - name: Set up Python
-        uses: actions/setup-python@v6
-        with:
-          python-version: ${{ matrix.python-version }}
-          cache: 'pip'
-          cache-dependency-path: requirements.txt
-
-      - name: Install uv
-        run: |
-          python -m pip install --upgrade pip
-          python -m pip install uv
-
-      - name: Install dependencies
-        run: |
-          uv pip install --system -r requirements.txt
-        timeout-minutes: 15
-
-      - name: Run smoke tests
-        run: |
-          python scripts/smoke_startup_check.py
-        timeout-minutes: 2

.github/workflows/stale.yml

@@ -1,65 +1,27 @@
-# 本工作流用于标记并关闭长期不活跃的 Issue。
-# 目前仅针对带 `bug` 标签的 Issue 生效，不会处理 PR。
+# This workflow warns and then closes issues and PRs that have had no activity for a specified amount of time.
 #
-# 文档: https://github.com/actions/stale
-name: Mark stale bug issues
+# You can adjust the behavior by modifying this file.
+# For more information, see:
+# https://github.com/actions/stale
+name: Mark stale issues and pull requests
 
 on:
   schedule:
-    # 每天 UTC 08:30 执行 (北京时间 16:30)
-    - cron: '30 8 * * *'
-  workflow_dispatch:
-    inputs:
-      dry-run:
-        description: '仅预览, 不实际执行 (Dry run mode)'
-        required: false
-        default: true
-        type: boolean
+  - cron: '21 23 * * *'
 
 jobs:
   stale:
-    if: github.repository == 'AstrBotDevs/AstrBot'
+
     runs-on: ubuntu-latest
     permissions:
       issues: write
+      pull-requests: write
 
     steps:
-      - uses: actions/stale@v10
-        with:
-          repo-token: ${{ secrets.GITHUB_TOKEN }}
-          operations-per-run: 200
-
-          # 只处理带 bug 标签的 Issue
-          any-of-labels: 'bug'
-
-          # 不处理 PR
-          days-before-pr-stale: -1
-          days-before-pr-close: -1
-
-          # 不活跃判定与关闭策略: 先标记 stale, 再延迟关闭
-          days-before-issue-stale: 60
-          days-before-issue-close: 30
-
-          stale-issue-label: 'stale'
-          stale-issue-message: |
-            This issue has been automatically marked as **stale** because it has not had any activity.
-            It will be closed in a certain period of time if no further activity occurs.
-            If this issue is still relevant, please leave a comment.
-
-            ---
-
-            该 Issue 已较长时间无活动, 已被标记为 `stale`。
-            如无后续活动, 将在一段时间后自动关闭。
-            如仍需跟进, 请回复评论。
-          close-issue-message: |
-            This issue has been automatically closed due to inactivity.
-            If the problem still exists, feel free to reopen or create a new issue with updated information.
-
-            ---
-
-            该 Issue 因长期无活动已自动关闭。
-            如问题仍存在, 欢迎补充复现信息并重新打开或新建 Issue。
-
-          remove-stale-when-updated: true
-
-          debug-only: ${{ github.event_name == 'workflow_dispatch' && inputs.dry-run }}
+    - uses: actions/stale@v10
+      with:
+        repo-token: ${{ secrets.GITHUB_TOKEN }}
+        stale-issue-message: 'Stale issue message'
+        stale-pr-message: 'Stale pull request message'
+        stale-issue-label: 'no-issue-activity'
+        stale-pr-label: 'no-pr-activity'

.github/workflows/sync-wiki.yml

@@ -1,69 +0,0 @@
-name: sync wiki
-
-on:
-  workflow_dispatch:
-  push:
-    branches:
-      - master
-    paths:
-      - '.github/workflows/sync-wiki.yml'
-      - 'docs/scripts/sync_docs_to_wiki.py'
-      - 'docs/tests/test_sync_docs_to_wiki.py'
-      - 'docs/zh/**'
-      - 'docs/en/**'
-
-concurrency:
-  group: sync-wiki-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  sync:
-    if: github.repository == 'AstrBotDevs/AstrBot'
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-
-    steps:
-      - name: Validate manual ref
-        if: github.event_name == 'workflow_dispatch' && github.ref != 'refs/heads/master'
-        run: |
-          echo "This workflow only publishes from refs/heads/master. Re-run it from the master branch."
-          exit 1
-
-      - name: Check out docs repository
-        uses: actions/checkout@v6
-
-      - name: Set up Python
-        uses: actions/setup-python@v6
-        with:
-          python-version: '3.11'
-
-      - name: Run sync unit tests
-        working-directory: docs
-        run: python -m unittest discover -s tests -p 'test_sync_docs_to_wiki.py' -v
-
-      - name: Validate internal doc links
-        run: python docs/scripts/sync_docs_to_wiki.py --source-root docs --check-links-only
-
-      - name: Clone AstrBot wiki
-        env:
-          WIKI_TOKEN: ${{ secrets.ASTRBOT_WIKI_TOKEN }}
-        run: |
-          test -n "$WIKI_TOKEN"
-          git clone "https://x-access-token:${WIKI_TOKEN}@github.com/AstrBotDevs/AstrBot.wiki.git" wiki
-
-      - name: Generate wiki pages
-        run: python docs/scripts/sync_docs_to_wiki.py --source-root docs --wiki-root wiki
-
-      - name: Commit and push wiki changes
-        working-directory: wiki
-        run: |
-          git config user.name "github-actions[bot]"
-          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
-          git add .
-          if git diff --cached --quiet; then
-            echo "No wiki changes to push"
-            exit 0
-          fi
-          git commit -m "docs: sync wiki from AstrBot-1/docs"
-          git push

.github/workflows/unit_tests.yml

@@ -1,37 +0,0 @@
-name: Unit Tests
-
-on:
-  push:
-    branches:
-      - master
-    paths-ignore:
-      - 'README*.md'
-      - 'changelogs/**'
-      - 'dashboard/**'
-  pull_request:
-  workflow_dispatch:
-
-jobs:
-  unit-tests:
-    name: Run pytest suite
-    runs-on: ubuntu-latest
-    timeout-minutes: 30
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-
-      - name: Set up Python
-        uses: actions/setup-python@v6
-        with:
-          python-version: '3.12'
-
-      - name: Install uv
-        run: |
-          python -m pip install --upgrade pip
-          python -m pip install uv
-
-      - name: Run tests
-        run: |
-          chmod +x scripts/run_pytests_ci.sh
-          bash ./scripts/run_pytests_ci.sh ./tests

.gitignore

@@ -1,66 +1,35 @@
-# Python related
 __pycache__
-.mypy_cache
-.venv*
-.conda/
-uv.lock
-.coverage
-
-# IDE and editors
-.vscode
-.idea
-
-# Logs and temporary files
 botpy.log
-logs/
-temp
-cookies.json
-
-# Data files
+.vscode
+.venv*
+.idea
 data_v2.db
 data_v3.db
-data
 configs/session
 configs/config.yaml
+**/.DS_Store
+temp
 cmd_config.json
-
-# Plugins
+data
+cookies.json
+logs/
 addons/plugins
-astrbot/builtin_stars/python_interpreter/workplace
-tests/astrbot_plugin_openai
+.coverage
 
-# Dashboard
+
+tests/astrbot_plugin_openai
+chroma
 dashboard/node_modules/
 dashboard/dist/
-.pnpm-store/
-package-lock.json
-yarn.lock
-
-# Bundled dashboard dist (generated by hatch_build.py during pip wheel build)
-astrbot/dashboard/dist/
-
-# Operating System
-**/.DS_Store
 .DS_Store
-
-# AstrBot specific
-.astrbot
-astrbot.lock
-
-# Other
-chroma
+package-lock.json
+package.json
 venv/*
+packages/python_interpreter/workplace
+.venv/*
+.conda/
+.idea
 pytest.ini
-AGENTS.md
-IFLOW.md
+.astrbot
 
-# genie_tts data
-CharacterModels/
-GenieData/
-.agent/
-.codex/
-.opencode/
-.kilocode/
-.worktrees/
-
-dashboard/bun.lock
+uv.lock

.pre-commit-config.yaml

@@ -6,20 +6,8 @@ ci:
   autoupdate_schedule: weekly
   autoupdate_commit_msg: ":balloon: pre-commit autoupdate"
 repos:
-- repo: https://github.com/astral-sh/ruff-pre-commit
-  # Ruff version.
-  rev: v0.14.1
-  hooks:
-    # Run the linter.
-    - id: ruff-check
-      types_or: [ python, pyi ]
-      args: [ --fix ]
-    # Run the formatter.
-    - id: ruff-format
-      types_or: [ python, pyi ]
-      
-- repo: https://github.com/asottile/pyupgrade
-  rev: v3.21.0
-  hooks:
-    - id: pyupgrade
-      args: [--py310-plus]
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.11.2
+    hooks:
+      - id: ruff
+      - id: ruff-format

.python-version

@@ -1 +1 @@
-3.12
+3.10

AGENTS.md

@@ -1,133 +0,0 @@
-## Setup commands
-
-### Core
-
-```
-uv sync
-uv run main.py
-```
-
-Exposed an API server on `http://localhost:6185` by default.
-
-### Dashboard(WebUI)
-
-```
-cd dashboard
-pnpm install # First time only. Use npm install -g pnpm if pnpm is not installed.
-pnpm dev
-```
-
-Runs on `http://localhost:3000` by default.
-
-## Pre-commit setup
-
-AstrBot uses [pre-commit](https://pre-commit.com/) hooks to automatically format and lint Python code before each commit. The hooks run `ruff check`, `ruff format`, and `pyupgrade` (see [`.pre-commit-config.yaml`](.pre-commit-config.yaml) for details).
-
-To set it up:
-
-```bash
-pip install pre-commit
-pre-commit install
-```
-
-After installation, the hooks will run automatically on `git commit`. You can also run them manually at any time:
-
-```bash
-ruff format .
-ruff check .
-```
-
-> **Note:** If you use VSCode, install the `Ruff` extension for real-time formatting and linting in the editor.
-
-## Dev environment tips
-
-### Basic
-
-1. When modifying the WebUI, be sure to maintain componentization and clean code. Avoid duplicate code.
-2. Do not add any report files such as xxx_SUMMARY.md.
-3. After finishing, use `ruff format .` and `ruff check .` to format and check the code.
-4. When committing, ensure to use conventional commits messages, such as `feat: add new agent for data analysis` or `fix: resolve bug in provider manager`.
-5. Use English for all new comments.
-6. For path handling, use `pathlib.Path` instead of string paths, and use `astrbot.core.utils.path_utils` to get the AstrBot data and temp directory.
-7. When backend API routes, request/response schemas, or OpenAPI definitions change, regenerate the frontend API client by running `cd dashboard && pnpm generate:api`.
-
-### KISS and First Principles
-
-Follow the KISS principle and reason from first principles during development. Start by identifying the real problem, required behavior, and smallest useful change before adding code. Do not pile on features, configuration switches, abstractions, dependencies, or compatibility layers unless they directly solve the current problem and have clear evidence of need.
-
-Prefer the simplest implementation that is correct, maintainable, and consistent with the existing codebase. If a broader design seems attractive, reduce it to the essential behavior needed now and leave optional expansion for a later, explicit requirement.
-
-### No Unnecessary Helpers
-
-Prioritize inline implementation over abstraction. Avoid over-engineering and do not create helper functions unless absolutely necessary.
-
-1. **Inline-First Rule**: If a logic block can be implemented directly within the main function without breaking overall readability, **do not** extract it into a new helper function.
-2. **Strict Justification for Helpers**: You may only create a separate helper function if it meets at least one of these criteria:
-   - **High Reuse**: The exact same logic is repeated across **3 or more** different locations.
-   - **Extreme Complexity**: Inlining the logic makes the main function too long (e.g., >50 lines) or severely derails the main execution flow.
-3. **No Fragmentation**: Do not split continuous linear logic (e.g., a single API call, simple form validation, or one-time data formatting) into tiny functions just for the sake of "clean code."
-4. **Keep Context Compact**: Handle edge cases, error catching, and logging directly inside the main function block instead of offloading them.
-5. **Refactoring Constraint**: When modifying existing code, do not alter the current function structure or extract code into new helpers unless the existing code already violates the complexity or reuse rules above.
-
-### Mandatory Google-Style Docstrings
-* **Comment the complex**: Add clear comments to any non-obvious function, method, or parameter.
-* **Google Format**: All docstrings must strictly use the Google format (`Args:`, `Returns:`, `Raises:`).
-
-#### Example:
-
-```py
-def calculate_metrics(user_id: int, force_refresh: bool = False) -> dict:
-    """Brief description of the function.
-
-    Args:
-        user_id: Description of the ID.
-        force_refresh: Description of the flag.
-
-    Returns:
-        Description of the returned dict.
-
-    Raises:
-        ValueError: Description of when this occurs.
-    """
-    # Inline implementation here...
-```
-
-
-## PR instructions
-
-1. Title format: use conventional commit messages
-2. Use English to write PR title and descriptions.
-
-## Release versions
-
-Use a short-lived `release/*` branch for each release. The release branch is the stabilization area for version bumps, changelog updates, release-blocking fixes, and final validation only. Do not add unrelated features or broad refactors to a release branch.
-
-Prepare a release from a clean worktree with:
-
-```bash
-uv run python scripts/prepare_release.py 4.25.0
-```
-
-The script updates `pyproject.toml`, creates `changelogs/v4.25.0.md`, runs the required Python checks, and prints the remaining steps. Use these flags when needed:
-
-```bash
-uv run python scripts/prepare_release.py 4.25.0 --generate-api-client
-uv run python scripts/prepare_release.py 4.25.0 --dashboard-build
-uv run python scripts/prepare_release.py 4.25.0 --commit --push
-```
-
-Open a PR from `release/4.25.0` to `master`. The PR title must use the conventional commit format, for example `chore: bump version to 4.25.0`. After the release PR is merged, create and push the tag from the updated `master` branch so the tag points to the exact code that was merged:
-
-```bash
-git checkout master
-git pull --ff-only origin master
-git tag v4.25.0
-git push origin v4.25.0
-```
-
-For one-off release candidate branches, delete the release branch after the tag is pushed and verified. For maintained release lines, use a branch such as `release/4.25` and keep it until that line reaches EOL.
-
-```bash
-git branch -d release/4.25.0
-git push origin --delete release/4.25.0
-```

CONTRIBUTING.md

@@ -1,142 +0,0 @@
-# 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`。
-
-#### 代码规范
-
-##### Core
-
-我们使用 Ruff 作为代码格式化和静态分析工具。在提交代码之前，请运行以下命令以确保代码符合规范：
-
-```bash
-ruff format .
-ruff check .
-```
-
-如果您使用 VSCode，可以安装 `Ruff` 插件。
-
-##### PR 功能完整性验证（推荐）
-
-如果您希望在本地做一套接近 CI 的完整验证，可使用：
-
-```bash
-make pr-test-neo
-```
-
-该命令会执行：
-- `uv sync --group dev`
-- `ruff format --check .` 与 `ruff check .`
-- Neo 相关关键测试
-- `main.py` 启动 smoke test（检测 `http://localhost:6185`）
-
-需要全量验证时可使用：
-
-```bash
-make pr-test-full
-```
-
-如果只想快速重复执行（跳过依赖同步和 dashboard 构建）：
-
-```bash
-make pr-test-full-fast
-```
-
-
-## 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`.
-
-#### Code Style
-
-##### Core
-
-We use Ruff as our code formatter and static analysis tool. Before submitting your code, please run the following commands to ensure your code adheres to the style guidelines:
-
-```bash
-ruff format .
-ruff check .
-```
-
-##### PR completeness checks (recommended)
-
-To run a local validation flow close to CI, use:
-
-```bash
-make pr-test-neo
-```
-
-This command runs:
-- `uv sync --group dev`
-- `ruff format --check .` and `ruff check .`
-- Neo-related critical tests
-- a startup smoke test against `http://localhost:6185`
-
-For full validation, use:
-
-```bash
-make pr-test-full
-```
-
-For faster repeated runs (skip dependency sync and dashboard build), use:
-
-```bash
-make pr-test-full-fast
-```

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.12-slim
+FROM python:3.11-slim
 WORKDIR /AstrBot
 
 COPY . /AstrBot/
@@ -12,23 +12,19 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ca-certificates \
     bash \
     ffmpeg \
-    libavcodec-extra \
-    curl \
-    gnupg \
-    git \
-    ripgrep \
-    && curl -fsSL https://deb.nodesource.com/setup_lts.x | bash - \
-    && apt-get install -y --no-install-recommends nodejs \
     && apt-get clean \
-    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+    && rm -rf /var/lib/apt/lists/*
 
-RUN python -m pip install uv \
-    && echo "3.12" > .python-version \
-    && uv lock \
-    && uv export --format requirements.txt --output-file requirements.txt --frozen \
-    && uv pip install -r requirements.txt --no-cache-dir --system \
-    && uv pip install socksio uv pilk --no-cache-dir --system
+RUN apt-get update && apt-get install -y curl gnupg && \
+    curl -fsSL https://deb.nodesource.com/setup_lts.x | bash - && \
+    apt-get install -y nodejs && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN python -m pip install uv
+RUN uv pip install -r requirements.txt --no-cache-dir --system
+RUN uv pip install socksio uv pilk --no-cache-dir --system
 
 EXPOSE 6185
+EXPOSE 6186
 
-CMD ["python", "main.py"]
+CMD [ "python", "main.py" ]

Dockerfile_with_node

@@ -0,0 +1,35 @@
+FROM python:3.10-slim
+
+WORKDIR /AstrBot
+
+COPY . /AstrBot/
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    gcc \
+    build-essential \
+    python3-dev \
+    libffi-dev \
+    libssl-dev \
+    curl \
+    unzip \
+    ca-certificates \
+    bash \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Installation of Node.js
+ENV NVM_DIR="/root/.nvm"
+RUN curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.2/install.sh | bash && \
+    . "$NVM_DIR/nvm.sh" && \
+    nvm install 22 && \
+    nvm use 22
+RUN /bin/bash -c ". \"$NVM_DIR/nvm.sh\" && node -v && npm -v"
+
+RUN python -m pip install uv
+RUN uv pip install -r requirements.txt --no-cache-dir --system
+RUN uv pip install socksio uv pyffmpeg --no-cache-dir --system
+
+EXPOSE 6185
+EXPOSE 6186
+
+CMD ["python", "main.py"]

EULA.md

@@ -1,244 +0,0 @@
-# 最终用户许可协议（EULA）
-
-> 我们热爱开源软件，并始终致力于为所有用户提供健康、安全、可靠的使用体验。 ❤️
-
-For English edition, please refer to the section below the Chinese version.
-
-**最后更新：** 2026-01-12
-
-感谢您使用 **AstrBot**。
-在使用本项目之前，请仔细阅读以下声明内容。
-
-**您一旦安装、运行或使用本项目，即表示您已阅读、理解并同意本声明中的全部内容。**
-
-## 1. 项目性质
-
-AstrBot 是一个遵循 **GNU Affero General Public License v3（AGPLv3）** 协议发布的**免费开源软件项目**。
-
-* 截至目前，AstrBot 项目未开展任何形式的商业化服务，AstrBot 团队也未通过本项目向用户提供任何收费服务。若您因使用 AstrBot 被要求付费，请务必提高警惕，谨防诈骗行为。
-* AstrBot 的代码实现未对任何第三方系统进行逆向工程、破解、反编译或绕过安全机制等行为。AstrBot 仅使用并支持各即时通讯（IM）平台官方公开提供的机器人接入接口、开放平台能力或相关通信协议进行集成与通信。
-
-## 2. 无担保声明
-
-AstrBot 按“**现状（as is）**”提供，不附带任何形式的明示或暗示担保。
-
-AstrBot 团队不对以下内容作出任何保证：
-
-* 系统本身的安全性、可靠性或稳定性；
-* 任何第三方插件的安全性、正确性或可信度；
-* 任何第三方 AI 模型或外部服务 API 的可用性、质量、准确性或安全性；
-* 本软件对任何特定用途的适用性。
-
-**您使用本软件所产生的一切风险均由您自行承担。**
-
-## 3. 第三方插件与服务
-
-* AstrBot 支持第三方插件及外部 AI 服务接入；
-* AstrBot 团队**不对任何第三方插件、扩展或服务进行审计、控制、背书或担保**；
-* 因使用第三方插件或服务所产生的任何风险、损失、数据泄露或法律后果，均由用户自行承担。
-* 第三方插件指代的是非 AstrBot 自带的插件，AstrBot 自带的插件指代的是插件实现代码已经包含在 AstrBotDevs/AstrBot 代码库中的插件。插件市场中的插件都是第三方插件。
-
-## 4. 使用与内容限制
-
-您同意不会将 AstrBot 用于以下行为：
-
-* 输入、生成、传播或处理任何违法、极端、暴力、色情、仇恨、辱骂或其他有害内容；
-* 从事违反您所在国家或地区法律法规，或任何适用国际法律的行为；
-* 试图绕过、关闭、削弱或破坏本系统内置的安全机制或内容限制。
-* 任何侵犯他人合法权益、损害他人和自己身心健康、涉及个人隐私、个人信息等敏感内容的内容。
-
-## 5. 项目用途说明
-
-AstrBot 是一个**工具型对话与 Agent 系统**，在**安全、健康、友善**的前提下提供有限的人性化交互能力。
-
-项目的主要目标是：
-
-* 提供 Agent 能力与自动化辅助；
-* 帮助用户提升工作、学习和信息处理效率；
-* 在合理范围内提供友好的人机交互体验。
-* 辅助用户成长，提供有益于用户身心健康的内容。
-
-## 6. 安全措施说明
-
-AstrBot 团队**已尽合理努力在技术和策略层面设置安全与内容约束机制**，以引导系统输出健康、友善、安全的内容。
-
-但请理解：
-
-* 世界上任何的系统均无法保证完全无误、绝对安全或无法被滥用；
-* 用户仍有责任自行合理配置、监督并正确使用本系统。
-
-如果您要关闭 AstrBot 默认启用的“健康模式”，请在 cmd_config.json 中将 `provider_settings.llm_safety_mode` 设置为 `False`。但请注意，关闭健康模式不是推荐的使用方式，可能导致系统输出不安全或不适当的内容。关闭该功能所产生的任何风险与后果，均由用户自行承担，AstrBot 团队不对此承担任何责任。
-
-## 7. 心理健康提示
-
-如果您在使用本项目过程中因系统输出内容而感到心理不适、情绪困扰，  
-或您本身正处于心理压力较大、情绪不稳定、焦虑、抑郁等状态并因此使用本项目，  
-请优先考虑寻求来自专业人士的帮助，例如心理咨询师、心理医生或当地心理援助机构。
-
-如遇紧急情况（例如存在自伤或他伤风险），请立即联系当地的紧急救助电话或专业机构。
-
-## 8. 统计信息与隐私说明
-
-AstrBot 可能会收集有限的匿名统计信息，用于了解系统使用情况、发现问题以及持续改进项目。
-
-所收集的统计信息仅包括与系统运行和功能使用相关的基础技术指标，例如功能使用频率、错误信息等。
-
-AstrBot **不会收集、上传或存储您的对话内容、消息正文、输入文本，或任何能够识别您个人身份的敏感信息**。
-
-您可以手动关闭此项功能，通过在系统环境变量中设置 `ASTRBOT_DISABLE_METRICS=1` 来禁用匿名统计信息收集。
-
-## 9. 责任限制
-
-在法律允许的最大范围内，AstrBot 团队不对因以下原因导致的任何直接或间接损失承担责任，包括但不限于：
-
-* 使用或无法使用本软件；
-* 使用第三方插件或服务；
-* 系统生成的内容或输出；
-* 数据丢失、服务中断或安全事件。
-
-## 10. 条款的接受
-
-您一旦安装、运行、修改或使用 AstrBot，即确认：
-
-* 您已阅读并理解本声明内容；
-* 您同意并接受上述所有条款；
-* 您对自身使用行为承担全部责任。
-
-如您不同意本声明的任何内容，请勿使用本项目。
-
-## 11. 许可与版权
-
-AstrBot 的源代码、文档及相关内容受版权法及相关法律保护。
-
-在遵守本声明及 AGPLv3 协议的前提下，AstrBot 授予您一项非独占、不可转让、不可再许可的许可，用于下载、安装、运行、修改和分发本软件。
-
-除非法律另有规定或本声明另有明确说明，AstrBot 团队保留本项目的所有未明确授予的权利。
-
-## 12. 适用法律
-
-本声明的解释与适用应遵循您所在地或项目发布地适用的法律法规。
-
-如本声明的任何条款被认定为无效或不可执行，其余条款仍然有效。
-
----
-
-# EULA
-
-> We love open-source software and are always committed to providing all users with a healthy, safe, and reliable experience. ❤️
-
-**Last updated:** January 12, 2026
-
-Thank you for using **AstrBot**.
-Please read the following notice carefully before using this project.
-
-**By installing, running, or using this project, you acknowledge that you have read, understood, and agreed to all the terms stated below.**
-
-## 1. Nature of the Project
-
-AstrBot is a **free and open-source software project** released under the **GNU Affero General Public License v3 (AGPLv3)**.
-
-* AstrBot does not constitute any form of commercial service;
-* The AstrBot Team does not provide any paid services through this project;
-* AstrBot’s implementation does not involve reverse engineering, cracking, decompilation, or circumvention of security mechanisms of any third-party systems. AstrBot only uses and supports officially published bot integration interfaces, open platform capabilities, or related communication protocols provided by instant messaging (IM) platforms for integration and communication.
-
-## 2. No Warranty
-
-AstrBot is provided **“as is”**, without any express or implied warranties.
-
-The AstrBot Team makes no guarantees regarding:
-
-* The security, reliability, or stability of the system;
-* The security, correctness, or trustworthiness of any third-party plugins;
-* The availability, quality, accuracy, or safety of any third-party AI model APIs or external services;
-* The fitness of the software for any particular purpose.
-
-**All risks arising from the use of this software are borne solely by the user.**
-
-## 3. Third-Party Plugins and Services
-
-* AstrBot supports third-party plugins and external AI services;
-* The AstrBot Team does **not audit, control, endorse, or guarantee** any third-party plugins, extensions, or services;
-* Any risks, losses, data leaks, or legal consequences arising from the use of third-party plugins or services are solely the responsibility of the user;
-* “Third-party plugins” refer to plugins that are not built into AstrBot. Built-in plugins are those whose implementation code is included in the AstrBotDevs/AstrBot repository. All plugins available in the plugin marketplace are third-party plugins.
-
-## 4. Usage and Content Restrictions
-
-You agree not to use AstrBot for any of the following activities:
-
-* Inputting, generating, distributing, or processing any illegal, extremist, violent, pornographic, hateful, abusive, or otherwise harmful content;
-* Engaging in activities that violate the laws or regulations of your country or region, or any applicable international laws;
-* Attempting to bypass, disable, weaken, or undermine the built-in safety mechanisms or content restrictions of the system;
-* Any activities that infringe upon the legitimate rights and interests of others, harm the physical or mental well-being of yourself or others, or involve personal privacy or sensitive personal information.
-
-## 5. Intended Use
-
-AstrBot is a **tool-oriented conversational and agent system** that provides limited human-like interaction capabilities under the principles of **safety, health, and friendliness**.
-
-The primary goals of the project are to:
-
-* Provide agent capabilities and automation assistance;
-* Help users improve efficiency in work, study, and information processing;
-* Offer a friendly human–computer interaction experience within reasonable boundaries;
-* Support user growth and provide content beneficial to users’ physical and mental well-being.
-
-## 6. Safety Measures
-
-The AstrBot Team has made **reasonable efforts** at both technical and policy levels to implement safety and content restriction mechanisms, guiding the system to produce healthy, friendly, and safe outputs.
-
-However, please understand that:
-
-* No system in the world can be guaranteed to be completely error-free, absolutely secure, or immune to misuse;
-* Users remain responsible for properly configuring, supervising, and using the system.
-
-If you wish to disable AstrBot’s default “Safety Mode,” please set `provider_settings.llm_safety_mode` to `False` in `cmd_config.json`. However, please note that disabling Safety Mode is not recommended and may lead to unsafe or inappropriate outputs. Any risks or consequences arising from disabling this feature are solely borne by the user, and the AstrBot Team assumes no responsibility.
-
-## 7. Mental Health Notice
-
-If you experience psychological discomfort or emotional distress due to system outputs during use,
-or if you are experiencing significant psychological stress, emotional instability, anxiety, or depression and are using this project for such reasons,
-please prioritize seeking help from qualified professionals, such as psychologists, psychiatrists, or local mental health support services.
-
-In case of emergency (for example, if there is a risk of self-harm or harm to others), please immediately contact your local emergency number or professional crisis support services.
-
-## 8. Metrics and Privacy
-
-AstrBot may collect a limited amount of anonymous usage statistics to understand system usage, identify issues, and continuously improve the project.
-
-Collected metrics are limited to basic technical indicators related to system operation and feature usage, such as feature usage frequency and error information.
-
-AstrBot **does not collect, upload, or store your conversation content, message bodies, input text, or any personally identifiable or sensitive information**.
-
-You may manually disable this feature by setting the environment variable `ASTRBOT_DISABLE_METRICS=1` to turn off anonymous metrics collection.
-
-## 9. Limitation of Liability
-
-To the maximum extent permitted by law, the AstrBot Team shall not be liable for any direct or indirect losses arising from, including but not limited to:
-
-* The use or inability to use this software;
-* The use of third-party plugins or services;
-* Generated content or system outputs;
-* Data loss, service interruptions, or security incidents.
-
-## 10. Acceptance of Terms
-
-By installing, running, modifying, or using AstrBot, you confirm that:
-
-* You have read and understood this Notice;
-* You agree to and accept all the terms stated above;
-* You assume full responsibility for your use of the software.
-
-If you do not agree with any part of this Notice, please do not use this project.
-
-## 11. License and Copyright
-
-The source code, documentation, and related materials of AstrBot are protected by copyright laws and applicable regulations.
-
-Subject to compliance with this Notice and the AGPLv3 license, AstrBot grants you a non-exclusive, non-transferable, non-sublicensable license to download, install, run, modify, and distribute this software.
-
-Unless otherwise required by law or expressly stated in this Notice, the AstrBot Team reserves all rights not expressly granted.
-
-## 12. Governing Law
-
-The interpretation and application of this Notice shall be governed by the laws and regulations applicable in your jurisdiction or the jurisdiction where the project is released.
-
-If any provision of this Notice is held to be invalid or unenforceable, the remaining provisions shall remain in full force and effect.

FIRST_NOTICE.en-US.md

@@ -1,16 +0,0 @@
-## Welcome to AstrBot
-
-🌟 Thank you for using AstrBot!
-
-AstrBot is an Agentic AI assistant for personal and group chats, with support for multiple IM platforms and a wide range of built-in features. We hope it brings you an efficient and enjoyable experience. ❤️
-
-Important notice:
-
-AstrBot is a **free and open-source software project** protected by the AGPLv3 license. You can find the full source code and related resources on our [**official website**](https://astrbot.app) and [**GitHub**](https://github.com/astrbotdevs/astrbot).
-As of now, AstrBot has **no commercial services of any kind**, and the official team **will never charge users any fees** under any name.
-
-If anyone asks you to pay while using AstrBot, **you are likely being scammed**. Please request a refund immediately and report it to us by email.
-
-📊 Please read the [End User License Agreement](https://github.com/AstrBotDevs/AstrBot/blob/master/EULA.md) carefully before using this project. By installing, you agree to all its contents.
-
-📮 Official email: [community@astrbot.app](mailto:community@astrbot.app)

FIRST_NOTICE.md

@@ -1,16 +0,0 @@
-## 欢迎使用 AstrBot
-
-🌟 感谢您使用 AstrBot！
-
-AstrBot 是一款可接入多种 IM 平台的 Agentic AI 个人 / 群聊助手，内置多项强大功能，希望能为您带来高效、愉快的使用体验。❤️
-
-我们想特别说明：
-
-AstrBot 是受 AGPLv3 开源协议保护的**免费开源软件项目**，您可以在[**官方网站**](https://astrbot.app)、[**GitHub**](https://github.com/astrbotdevs/astrbot) 上找到 AstrBot 的全部源代码及相关资源。
-截至目前，AstrBot 项目**未开展任何形式的商业化服务**，官方**不会以任何名义向用户收取费用**。
-
-如果您在使用 AstrBot 的过程中被要求付费，**表明您已经遭遇诈骗行为**。请立即向相关方申请退款，并及时通过邮件向我们反馈。
-
-📊 在使用本项目之前，请仔细阅读 [最终用户许可协议](https://github.com/AstrBotDevs/AstrBot/blob/master/EULA.md)。安装即表示您已阅读并同意其中的全部内容。
-
-📮 官方邮箱：[community@astrbot.app](mailto:community@astrbot.app)

FIRST_NOTICE.ru-RU.md

@@ -1,16 +0,0 @@
-## Добро пожаловать в AstrBot
-
-🌟 Спасибо, что используете AstrBot!
-
-AstrBot — это Agentic AI-ассистент для личных и групповых чатов с поддержкой множества IM-платформ и широким набором встроенных функций. Надеемся, что он сделает ваше общение эффективным и приятным. ❤️
-
-Важное уведомление:
-
-AstrBot — это **бесплатный проект с открытым исходным кодом**, защищённый лицензией AGPLv3. Полный исходный код и связанные ресурсы доступны на [**официальном сайте**](https://astrbot.app) и [**GitHub**](https://github.com/astrbotdevs/astrbot).
-На данный момент AstrBot **не предоставляет никаких коммерческих услуг**, и официальная команда **никогда не будет взимать плату с пользователей** под каким-либо названием.
-
-Если кто-то просит вас заплатить при использовании AstrBot, **вас, скорее всего, пытаются обмануть**. Немедленно запросите возврат средств и сообщите нам по электронной почте.
-
-📊 Пожалуйста, внимательно прочитайте [Лицензионное соглашение](https://github.com/AstrBotDevs/AstrBot/blob/master/EULA.md) перед использованием. Устанавливая программу, вы соглашаетесь со всеми его условиями.
-
-📮 Официальная почта: [community@astrbot.app](mailto:community@astrbot.app)

Makefile

@@ -1,41 +0,0 @@
-.PHONY: worktree worktree-add worktree-rm pr-test-neo pr-test-full pr-test-full-fast
-
-WORKTREE_DIR ?= ../astrbot_worktree
-BRANCH ?= $(word 2,$(MAKECMDGOALS))
-BASE ?= $(word 3,$(MAKECMDGOALS))
-BASE ?= master
-
-worktree:
-	@echo "Usage:"
-	@echo "  make worktree-add <branch> [base-branch]"
-	@echo "  make worktree-rm  <branch>"
-
-worktree-add:
-ifeq ($(strip $(BRANCH)),)
-	$(error Branch name required. Usage: make worktree-add <branch> [base-branch])
-endif
-	@mkdir -p $(WORKTREE_DIR)
-	git worktree add $(WORKTREE_DIR)/$(BRANCH) -b $(BRANCH) $(BASE)
-
-worktree-rm:
-ifeq ($(strip $(BRANCH)),)
-	$(error Branch name required. Usage: make worktree-rm <branch>)
-endif
-	@if [ -d "$(WORKTREE_DIR)/$(BRANCH)" ]; then \
-		git worktree remove $(WORKTREE_DIR)/$(BRANCH); \
-	else \
-		echo "Worktree $(WORKTREE_DIR)/$(BRANCH) not found."; \
-	fi
-
-pr-test-neo:
-	./scripts/pr_test_env.sh --profile neo
-
-pr-test-full:
-	./scripts/pr_test_env.sh --profile full
-
-pr-test-full-fast:
-	./scripts/pr_test_env.sh --profile full --skip-sync --no-dashboard
-
-# Swallow extra args (branch/base) so make doesn't treat them as targets
-%:
-	@true

README.md

@@ -1,286 +1,211 @@
-![astrbot-github-banner-v2-light-0405_副本](https://github.com/user-attachments/assets/36fb04e4-cc75-4454-bd8b-049d11aa86f9)
+<img width="430" height="31" alt="image" src="https://github.com/user-attachments/assets/474c822c-fab7-41be-8c23-6dae252823ed" /><p align="center">
+ 
+![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
 
+</p>
 
 <div align="center">
 
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</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_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://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>
 
-<br>
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot?style=for-the-badge&color=76bad9)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
+<a  href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
+<a  href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg?style=for-the-badge&color=76bad9)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%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)
 
-<div>
-<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%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?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://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
-<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=%20plugins&label=Marketplace&cacheSeconds=3600">
-<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
-</div>
-
-<br>
-
-<a href="https://astrbot.app/">Documentation</a> ｜
+<a href="https://github.com/Soulter/AstrBot/blob/master/README_en.md">English</a> ｜
+<a href="https://github.com/Soulter/AstrBot/blob/master/README_ja.md">日本語</a> ｜
+<a href="https://astrbot.app/">文档</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> ｜
-<a href="mailto:community@astrbot.app">Email Support</a>
+<a href="https://github.com/Soulter/AstrBot/issues">问题提交</a>
 </div>
 
-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.
+AstrBot 是一个开源的一站式 Agentic 聊天机器人平台及开发框架。
 
-![screenshot_1 5x_postspark_2026-02-27_22-37-45](https://github.com/user-attachments/assets/f17cdb90-52d7-4773-be2e-ff64b566af6b)
+## 主要功能
 
-## Key Features
+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. 💯 Free & Open Source.
-2. ✨ AI LLM Conversations, Multimodal, Agent, MCP, Skills, Knowledge Base, Persona Settings, Auto Context Compression.
-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 1000+ plugins available for one-click installation.
-6. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) for isolated, safe execution of code, shell calls, and session-level resource reuse.
-7. 💻 WebUI Support.
-8. 🌈 Web ChatUI Support with built-in agent sandbox and web search.
-9. 🌐 Internationalization (i18n) Support.
+## 部署方式
 
-<br>
+#### Docker 部署
 
-<table align="center">
-  <tr align="center">
-    <th>💙 Role-playing & Emotional Companionship</th>
-    <th>✨ Proactive Agent</th>
-    <th>🚀 General Agentic Capabilities</th>
-    <th>🧩 1000+ Community Plugins</th>
-  </tr>
-  <tr>
-    <td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
-    <td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
-  </tr>
-</table>
+推荐使用 Docker / Docker Compose 方式部署 AstrBot。
 
-## Quick Start
+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) 。
 
-### One-Click Deployment
+#### 宝塔面板部署
 
-For users who want to quickly experience AstrBot, are familiar with command-line usage, and can install a `uv` environment on their own, we recommend the `uv` one-click deployment method ⚡️:
+AstrBot 与宝塔面板合作，已上架至宝塔面板。
 
-```bash
-uv tool install astrbot --python 3.12
-astrbot init # Only execute this command for the first time to initialize the environment
-astrbot run
-```
+请参阅官方文档 [宝塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html) 。
 
-> Requires [uv](https://docs.astral.sh/uv/) to be installed.
-> AstrBot requires Python 3.12 or later. The `--python 3.12` option ensures that `uv` creates the tool environment with Python 3.12.
+#### 1Panel 部署
 
-> [!NOTE]
-> For macOS users: due to macOS security checks, the first run of the `astrbot` command may take longer (about 10-20s).
+AstrBot 已由 1Panel 官方上架至 1Panel 面板。
 
-Update `astrbot`:
+请参阅官方文档 [1Panel 部署](https://astrbot.app/deploy/astrbot/1panel.html) 。
 
-```bash
-uv tool upgrade astrbot --python 3.12
-```
+#### 在 雨云 上部署
 
-> [!WARNING]
-> AstrBot deployed via `uv` **does not support upgrading through the WebUI**. To update, please run the command above from the command line.
-
-### Docker Deployment
-
-For users familiar with containers and looking for a more stable, production-ready deployment method, we recommend deploying AstrBot with Docker / Docker Compose.
-
-Please refer to the official documentation: [Deploy AstrBot with Docker](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
-
-### Deploy on RainYun
-
-For users who want one-click deployment and do not want to manage servers themselves, we recommend RainYun's one-click cloud deployment service ☁️:
+AstrBot 已由雨云官方上架至云应用平台，可一键部署。
 
 [![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)
 
-### Desktop Application Deployment
+#### 在 Replit 上部署
 
-For users who want to use AstrBot on desktop and mainly use ChatUI, we recommend AstrBot App.
+社区贡献的部署方式。
 
-Visit [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) to download and install; this method is designed for desktop usage and is not recommended for server scenarios.
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
-### Launcher Deployment
+#### Windows 一键安装器部署
 
-For desktop users who also want fast deployment and isolated multi-instance usage, we recommend AstrBot Launcher.
+请参阅官方文档 [使用 Windows 一键安装器部署 AstrBot](https://astrbot.app/deploy/astrbot/windows.html) 。
 
-Visit [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) to download and install.
+#### CasaOS 部署
 
-### Deploy on Replit
+社区贡献的部署方式。
 
-Replit deployment is maintained by the community and is suitable for online demos and lightweight trials.
+请参阅官方文档 [CasaOS 部署](https://astrbot.app/deploy/astrbot/casaos.html) 。
 
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
+#### 手动部署
 
-### AUR
-
-AUR deployment targets Arch Linux users who prefer installing AstrBot through the system package workflow.
-
-Run the command below to install `astrbot-git`, then start AstrBot in your local environment.
+首先安装 uv：
 
 ```bash
-yay -S astrbot-git
+pip install uv
 ```
 
-**More deployment methods**
-
-If you need panel-based management or deeper customization, see [BT-Panel Deployment](https://docs.astrbot.app/deploy/astrbot/btpanel.html) for BT Panel app-store setup, [1Panel Deployment](https://docs.astrbot.app/deploy/astrbot/1panel.html) for 1Panel app-market deployment, [CasaOS Deployment](https://docs.astrbot.app/deploy/astrbot/casaos.html) for NAS/home-server visual deployment, and [Manual Deployment](https://docs.astrbot.app/deploy/astrbot/cli.html) for fully custom source-based installation with `uv`.
-
-## Supported Messaging Platforms
-
-Connect AstrBot to your favorite chat platform.
-
-| Platform | Maintainer |
-|---------|---------------|
-| QQ | Official |
-| OneBot v11 protocol implementation | Official |
-| Telegram | Official |
-| Wecom & Wecom AI Bot | Official |
-| WeChat Official Accounts | Official |
-| Feishu (Lark) | Official |
-| DingTalk | Official |
-| Slack | Official |
-| Discord | Official |
-| LINE | Official |
-| Satori | Official |
-| KOOK | Official |
-| Misskey | Official |
-| Mattermost | Official |
-| WhatsApp (Coming Soon) | Official |
-| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | Community |
-| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | Community |
-| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | Community |
-
-## Supported Model Services
-
-| Service | Type |
-|---------|---------------|
-| OpenAI and Compatible Services | LLM Services |
-| Anthropic | LLM Services |
-| Google Gemini | LLM Services |
-| Moonshot AI | LLM Services |
-| Zhipu AI | LLM Services |
-| DeepSeek | LLM Services |
-| Ollama (Self-hosted) | LLM Services |
-| LM Studio (Self-hosted) | LLM Services |
-| [AIHubMix](https://aihubmix.com/?aff=4bfH) | LLM Services (API Gateway, supports all models) |
-| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | LLM Services |
-| [302.AI](https://share.302.ai/rr1M3l) | LLM Services |
-| [TokenPony](https://www.tokenpony.cn/3YPyf) | LLM Services |
-| [SiliconFlow](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | LLM Services |
-| [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE) | LLM Services |
-| ModelScope | LLM Services |
-| OneAPI | LLM Services |
-| Dify | LLMOps Platforms |
-| Alibaba Cloud Bailian Applications | LLMOps Platforms |
-| Coze | LLMOps Platforms |
-| OpenAI Whisper | Speech-to-Text Services |
-| SenseVoice | Speech-to-Text Services |
-| Xiaomi MiMo Omni | Speech-to-Text Services |
-| OpenAI TTS | Text-to-Speech Services |
-| Gemini TTS | Text-to-Speech Services |
-| GPT-Sovits-Inference | Text-to-Speech Services |
-| GPT-Sovits | Text-to-Speech Services |
-| FishAudio | Text-to-Speech Services |
-| Edge TTS | Text-to-Speech Services |
-| Alibaba Cloud Bailian TTS | Text-to-Speech Services |
-| Azure TTS | Text-to-Speech Services |
-| Minimax TTS | Text-to-Speech Services |
-| Xiaomi MiMo TTS | Text-to-Speech Services |
-| Volcano Engine TTS | Text-to-Speech Services |
-
-## ❤️ Sponsors
-
-<p align="center">
-  <img alt="sponsors" src="https://sponsors.astrbot.app/?v=1">
-</p>
-
-
-## ❤️ Contributing
-
-Issues and Pull Requests are always welcome! Feel free to submit your changes to this project :)
-
-### How to Contribute
-
-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.
-
-### Development Environment
-
-AstrBot uses `ruff` for code formatting and linting.
+通过 Git Clone 安装 AstrBot：
 
 ```bash
-git clone https://github.com/AstrBotDevs/AstrBot
+git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
+uv run main.py
+```
+
+或者请参阅官方文档 [通过源码部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html) 。
+
+## 🌍 社区
+
+### QQ 群组
+
+- 1 群：322154837
+- 3 群：630166526
+- 5 群：822130018
+- 6 群：753075035
+- 开发者群：975206796
+- 开发者群（备份）：295657329
+
+### Telegram 群组
+
+<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
+
+### Discord 群组
+
+<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
+
+## ⚡ 消息平台支持情况
+
+| 平台    | 支持性 |
+| -------- | ------- |
+| QQ(官方机器人接口) | ✔    |
+| QQ(OneBot)      | ✔    |
+| Telegram   | ✔    |
+| 企业微信    | ✔    |
+| 微信客服    | ✔    |
+| 微信公众号    | ✔    |
+| 飞书   | ✔    |
+| 钉钉   | ✔    |
+| Slack   | ✔    |
+| Discord   | ✔    |
+| [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)   | ✔    |
+| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)   | ✔    |
+| Satori   | ✔    |
+| Misskey   | ✔    |
+
+## ⚡ 提供商支持情况
+
+| 名称    | 支持性 | 类型 | 备注 |
+| -------- | ------- | ------- | ------- |
+| OpenAI | ✔    | 文本生成 | 支持任何兼容 OpenAI API 的服务 |
+| Anthropic | ✔    | 文本生成 |  |
+| Google Gemini | ✔    | 文本生成 |  |
+| Dify | ✔    | LLMOps |  |
+| 阿里云百炼应用 | ✔    | LLMOps |  |
+| Ollama | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
+| LM Studio | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
+| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | ✔    | 模型 API 及算力服务平台 |  |
+| [302.AI](https://share.302.ai/rr1M3l) | ✔    | 模型 API 服务平台 |  |
+| 硅基流动 | ✔    | 模型 API 服务平台 |  |
+| PPIO 派欧云 | ✔    | 模型 API 服务平台 |  |
+| OneAPI | ✔    | LLM 分发系统 |  |
+| Whisper | ✔    | 语音转文本 | 支持 API、本地部署 |
+| SenseVoice | ✔    | 语音转文本 | 本地部署 |
+| OpenAI TTS API | ✔    | 文本转语音 |  |
+| GSVI | ✔    | 文本转语音 | GPT-Sovits-Inference |
+| GPT-SoVITs | ✔    | 文本转语音 | GPT-Sovits-Inference |
+| FishAudio | ✔    | 文本转语音 | GPT-Sovits 作者参与的项目 |
+| Edge TTS | ✔    | 文本转语音 | Edge 浏览器的免费 TTS |
+| 阿里云百炼 TTS | ✔    | 文本转语音 |  |
+| Azure TTS | ✔    | 文本转语音 | Microsoft Azure TTS |
+
+## ❤️ 贡献
+
+欢迎任何 Issues/Pull Requests！只需要将你的更改提交到此项目 ：)
+
+### 如何贡献
+
+你可以通过查看问题或帮助审核 PR（拉取请求）来贡献。任何问题或 PR 都欢迎参与，以促进社区贡献。当然，这些只是建议，你可以以任何方式进行贡献。对于新功能的添加，请先通过 Issue 讨论。
+
+### 开发环境
+
+AstrBot 使用 `ruff` 进行代码格式化和检查。
+
+```bash
+git clone https://github.com/Soulter/AstrBot
 pip install pre-commit
 pre-commit install
 ```
 
-
-## 🌍 Community
-
-### QQ Groups
-
-- Group 12: 916228568 (New)
-- Group 9: 1076659624 (Full)
-- Group 10: 1078079676 (Full)
-- Group 11: 704659519 (Full)
-- Group 1: 322154837 (Full)
-- Group 3: 630166526 (Full)
-- Group 4: 1077826412 (Full)
-- Group 5: 822130018 (Full)
-- Group 6: 753075035 (Full)
-- Group 7: 743746109 (Full)
-- Group 8: 1030353265 (Full)
-
-- Developer Group(Chit-chat): 975206796
-- Developer Group(Formal): 1039761811
-
-### 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 ❤️
+特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
 
 <a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot&max=300&columns=15" />
+  <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:
+此外，本项目的诞生离不开以下开源项目的帮助：
 
-- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - The amazing cat framework
+- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 伟大的猫猫框架
+
+另外，一些同类型其他的活跃开源 Bot 项目：
+
+- [nonebot/nonebot2](https://github.com/nonebot/nonebot2) - 扩展性极强的 Bot 框架
+- [koishijs/koishi](https://github.com/koishijs/koishi) - 扩展性极强的 Bot 框架
+- [MaiM-with-u/MaiBot](https://github.com/MaiM-with-u/MaiBot) - 注重拟人功能的 ChatBot
+- [langbot-app/LangBot](https://github.com/langbot-app/LangBot) - 功能丰富的 Bot 平台
+- [KroMiose/nekro-agent](https://github.com/KroMiose/nekro-agent) - 注重 Agent 的 ChatBot
+- [zhenxun-org/zhenxun_bot](https://github.com/zhenxun-org/zhenxun_bot) - 功能完善的 ChatBot
 
 ## ⭐ Star History
 
-> [!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
+> [!TIP] 
+> 如果本项目对您的生活 / 工作产生了帮助，或者您关注本项目的未来发展，请给项目 Star，这是我维护这个开源项目的动力 <3
 
 <div align="center">
 
-[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
 
 </div>
 
-<div align="center">
-
-_Companionship and capability should never be at odds. What we aim to create is a robot that can understand emotions, provide genuine companionship, and reliably accomplish tasks._
+</details>
 
 _私は、高性能ですから!_
-
-<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
-</div>

README_en.md

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

README_fr.md

@@ -1,277 +0,0 @@
-![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
-
-<div align="center">
-
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.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_ja.md">日本語</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
-
-<br>
-
-<div>
-<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%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?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://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFZIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
-<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=%20&label=Marketplace&cacheSeconds=3600">
-<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
-</div>
-
-<br>
-
-<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>
-<a href="mailto:community@astrbot.app">Email Support</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.
-
-![521771166-00782c4c-4437-4d97-aabc-605e3738da5c (1)](https://github.com/user-attachments/assets/61e7b505-f7db-41aa-a75f-4ef8f079b8ba)
-
-## Fonctionnalités principales
-
-1. 💯 Gratuit & Open Source.
-2. ✨ Dialogue avec de grands modèles d'IA, multimodal, Agent, MCP, Skills, Base de connaissances, Paramétrage de personnalité, compression automatique des dialogues.
-3. 🤖 Prise en charge de l'accès aux plateformes d'Agents telles que Dify, Alibaba Cloud Bailian, Coze, etc.
-4. 🌐 Multiplateforme : supporte QQ, WeChat Enterprise, Feishu, DingTalk, Comptes officiels WeChat, Telegram, Slack et [plus encore](#plateformes-de-messagerie-prises-en-charge).
-5. 📦 Extension par plugins, avec plus de 1000 plugins déjà disponibles pour une installation en un clic.
-6. 🛡️  Environnement isolé [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) : exécution sécurisée de code, appels Shell et réutilisation des ressources au niveau de la session.
-7. 💻 Support WebUI.
-8. 🌈 Support Web ChatUI, avec sandbox d'agent intégrée, recherche web, etc.
-9. 🌐 Support de l'internationalisation (i18n).
-
-<br>
-
-<table align="center">
-  <tr align="center">
-    <th>💙 Jeux de rôle & Accompagnement émotionnel</th>
-    <th>✨ Agent proactif</th>
-    <th>🚀 Capacités agentiques générales</th>
-    <th>🧩 1000+ Plugins de communauté</th>
-  </tr>
-  <tr>
-    <td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
-    <td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
-  </tr>
-</table>
-
-## Démarrage rapide
-
-### Déploiement en un clic
-
-Pour les utilisateurs qui veulent découvrir AstrBot rapidement, qui sont familiers avec la ligne de commande et peuvent installer eux-mêmes l'environnement `uv`, nous recommandons la méthode de déploiement en un clic avec `uv` ⚡️ :
-
-```bash
-uv tool install astrbot --python 3.12
-astrbot init # Exécutez cette commande uniquement la première fois pour initialiser l'environnement
-astrbot run
-```
-
-> [uv](https://docs.astral.sh/uv/) doit être installé.
-> AstrBot nécessite Python 3.12 ou une version plus récente. L'option `--python 3.12` garantit que `uv` crée l'environnement tool avec Python 3.12.
-
-> [!NOTE]
-> Pour les utilisateurs macOS : en raison des vérifications de sécurité de macOS, la première exécution de la commande `astrbot` peut prendre plus de temps (environ 10-20s).
-
-Mettre à jour `astrbot` :
-
-```bash
-uv tool upgrade astrbot --python 3.12
-```
-
-> [!WARNING]
-> AstrBot déployé via `uv` **ne prend pas en charge la mise à jour via le WebUI**. Pour mettre à jour, exécutez la commande ci-dessus depuis le terminal.
-
-### Déploiement Docker
-
-Pour les utilisateurs familiers avec les conteneurs et qui souhaitent une méthode plus stable et adaptée à la production, nous recommandons de déployer AstrBot avec Docker / Docker Compose.
-
-Veuillez consulter la documentation officielle [Déployer AstrBot avec Docker](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
-
-### Déployer sur RainYun
-
-Pour les utilisateurs qui souhaitent déployer AstrBot en un clic sans gérer le serveur eux-mêmes, nous recommandons le service de déploiement cloud en un clic de RainYun ☁️ :
-
-[![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)
-
-### Déploiement de l'application de bureau
-
-Pour les utilisateurs qui veulent utiliser AstrBot sur desktop et passer principalement par ChatUI, nous recommandons AstrBot App.
-
-Accédez à [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) pour télécharger et installer l'application ; cette méthode est conçue pour un usage desktop et n'est pas recommandée pour les scénarios serveur.
-
-### Déploiement avec le lanceur
-
-Également sur desktop, pour les utilisateurs qui souhaitent un déploiement rapide avec isolation d'environnement et multi-instances, nous recommandons AstrBot Launcher.
-
-Accédez à [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) pour télécharger et installer.
-
-### Déployer sur Replit
-
-Le déploiement sur Replit est maintenu par la communauté et convient aux démonstrations en ligne et aux essais légers.
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-### AUR
-
-Le mode AUR s'adresse aux utilisateurs Arch Linux qui préfèrent installer AstrBot via le gestionnaire de paquets système.
-
-Exécutez la commande ci-dessous pour installer `astrbot-git`, puis lancez AstrBot localement.
-
-```bash
-yay -S astrbot-git
-```
-
-**Autres méthodes de déploiement**
-
-Si vous avez besoin d'une gestion par panneau ou d'une personnalisation plus poussée, consultez [Déploiement BT-Panel](https://docs.astrbot.app/deploy/astrbot/btpanel.html) pour une installation via BT Panel, [Déploiement 1Panel](https://docs.astrbot.app/deploy/astrbot/1panel.html) pour le marketplace 1Panel, [Déploiement CasaOS](https://docs.astrbot.app/deploy/astrbot/casaos.html) pour un déploiement visuel sur NAS/serveur domestique, et [Déploiement manuel](https://docs.astrbot.app/deploy/astrbot/cli.html) pour une installation complète depuis les sources avec `uv`.
-
-## Plateformes de messagerie prises en charge
-
-Connectez AstrBot à vos plateformes de chat préférées.
-
-| Plateforme | Maintenance |
-|---------|---------------|
-| QQ | Officielle |
-| Implémentation du protocole OneBot v11 | Officielle |
-| Telegram | Officielle |
-| Application WeChat Work & Bot intelligent WeChat Work | Officielle |
-| Service client WeChat & Comptes officiels WeChat | Officielle |
-| Feishu (Lark) | Officielle |
-| DingTalk | Officielle |
-| Slack | Officielle |
-| Discord | Officielle |
-| LINE | Officielle |
-| Satori | Officielle |
-| KOOK | Officielle |
-| Misskey | Officielle |
-| Mattermost | Officielle |
-| WhatsApp (Bientôt disponible) | Officielle |
-| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | Communauté |
-| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | Communauté |
-| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | Communauté |
-
-## Services de modèles pris en charge
-
-| Service | Type |
-|---------|---------------|
-| OpenAI et services compatibles | Services LLM |
-| Anthropic | Services LLM |
-| Google Gemini | Services LLM |
-| Moonshot AI | Services LLM |
-| Zhipu AI | Services LLM |
-| DeepSeek | Services LLM |
-| Ollama (Auto-hébergé) | Services LLM |
-| LM Studio (Auto-hébergé) | Services LLM |
-| [AIHubMix](https://aihubmix.com/?aff=4bfH) | Services LLM (Passerelle API, prend en charge tous les modèles) |
-| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | Services LLM |
-| [302.AI](https://share.302.ai/rr1M3l) | Services LLM |
-| [TokenPony](https://www.tokenpony.cn/3YPyf) | Services LLM |
-| [SiliconFlow](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | Services LLM |
-| [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE) | Services LLM |
-| ModelScope | Services LLM |
-| OneAPI | Services LLM |
-| Dify | Plateformes LLMOps |
-| Applications Alibaba Cloud Bailian | Plateformes LLMOps |
-| Coze | Plateformes LLMOps |
-| OpenAI Whisper | Services de reconnaissance vocale |
-| SenseVoice | Services de reconnaissance vocale |
-| Xiaomi MiMo Omni | Services de reconnaissance vocale |
-| OpenAI TTS | Services de synthèse vocale |
-| Gemini TTS | Services de synthèse vocale |
-| GPT-Sovits-Inference | Services de synthèse vocale |
-| GPT-Sovits | Services de synthèse vocale |
-| FishAudio | Services de synthèse vocale |
-| Edge TTS | Services de synthèse vocale |
-| Alibaba Cloud Bailian TTS | Services de synthèse vocale |
-| Azure TTS | Services de synthèse vocale |
-| Minimax TTS | Services de synthèse vocale |
-| Xiaomi MiMo TTS | Services de synthèse vocale |
-| Volcano Engine TTS | Services de synthèse vocale |
-
-## ❤️ 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 12 : 916228568 (nouveau)
-- Groupe 9 : 1076659624 (complet)
-- Groupe 10 : 1078079676 (complet)
-- Groupe 11 : 704659519 (complet)
-- Groupe 1 : 322154837 (complet)
-- Groupe 3 : 630166526 (complet)
-- Groupe 4 : 1077826412 (complet)
-- Groupe 5 : 822130018 (complet)
-- Groupe 6 : 753075035 (complet)
-- Groupe 7 : 743746109 (complet)
-- Groupe 8 : 1030353265 (complet)
-- Groupe développeurs : 975206796
-- Groupe développeurs (officiel) : 1039761811
-
-### 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&max=300&columns=15" />
-</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>
-
-<div align="center">
-
-_La compagnie et la capacité ne devraient jamais être des opposés. Nous souhaitons créer un robot capable à la fois de comprendre les émotions, d'offrir de la présence, et d'accomplir des tâches de manière fiable._
-
-_私は、高性能ですから!_
-
-<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
-
-</div>

README_ja.md

@@ -1,278 +1,167 @@
-![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
+<p align="center">
+
+![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+
+</p>
 
 <div align="center">
 
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.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>
+_✨ 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>
+<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>
 
-<div>
-<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%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?color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
 <img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
-<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
-<a href="https://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFZIiBmaWxsPSIjZmZmIi8%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%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDRMNCAxMlpFIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
-<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=%20&label=%E3%83%97%E3%83%A9%E3%82%B0%E3%82%A4%E3%83%B3%E3%83%9E%E3%83%BC%E3%82%B1%E3%83%83%E3%83%88&cacheSeconds=3600">
-<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
+<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
+
+<a href="https://astrbot.app/">ドキュメントを見る</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">問題を報告する</a>
 </div>
 
-<br>
+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。
 
-<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>
-<a href="mailto:community@astrbot.app">Email Support</a>
-</div>
+## ✨ 主な機能
 
-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。
+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。
 
-![screenshot_1 5x_postspark_2026-02-27_22-37-45](https://github.com/user-attachments/assets/f17cdb90-52d7-4773-be2e-ff64b566af6b)
+> [!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 😭）
 
-## 主な機能
+## ✨ 使用方法
 
-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、Skills、ナレッジベース、ペルソナ設定、対話の自動圧縮。
-3. 🤖 Dify、Alibaba Cloud Bailian（百煉）、Coze などのAgentプラットフォームへの接続をサポート。
-4. 🌐 マルチプラットフォーム：QQ、企業微信（WeCom）、飛書（Lark）、釘釘（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)に対応。
-5. 📦 プラグイン拡張：1000を超える既存プラグインをワンクリックでインストール可能。
-6. 🛡️  隔離環境[Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html)：コードの安全な実行、Shell呼び出し、セッションレベルのリソース再利用。
-7. 💻 WebUI 対応。
-8. 🌈 Web ChatUI 対応：ChatUI内にAgent Sandboxやウェブ検索などを内蔵。
-9. 🌐 多言語対応（i18n）。
+#### Docker デプロイ
 
-<br>
+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。
 
-<table align="center">
-  <tr align="center">
-    <th>💙 ロールプレイ & 感情的な対話</th>
-    <th>✨ プロアクティブ・エージェント (Proactive Agent)</th>
-    <th>🚀 汎用 エージェント的能力</th>
-    <th>🧩 1000+ コミュニティプラグイン</th>
-  </tr>
-  <tr>
-    <td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
-    <td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
-  </tr>
-</table>
+#### Windows ワンクリックインストーラーのデプロイ
 
-## クイックスタート
+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。
 
-### ワンクリックデプロイ
+#### Replit デプロイ
 
-AstrBot を素早く試したいユーザーで、コマンドラインに慣れており `uv` 環境を自分でインストールできる場合は、`uv` のワンクリックデプロイをおすすめします ⚡️:
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
-```bash
-uv tool install astrbot --python 3.12
-astrbot init # 初回のみ実行して環境を初期化します
-astrbot run
-```
+#### CasaOS デプロイ
 
-> [uv](https://docs.astral.sh/uv/) のインストールが必要です。
-> AstrBot には Python 3.12 以降が必要です。`--python 3.12` を指定すると、`uv` は Python 3.12 で tool 環境を作成します。
+コミュニティが提供するデプロイ方法です。
+
+公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/casaos.html) を参照してください。
+
+#### 手動デプロイ
+
+公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/cli.html) を参照してください。
+
+## ⚡ メッセージプラットフォームのサポート状況
+
+| プラットフォーム    | サポート状況 | 詳細 | メッセージタイプ |
+| -------- | ------- | ------- | ------ |
+| QQ(公式ロボットインターフェース) | ✔    | プライベートチャット、グループチャット、QQ チャンネルプライベートチャット、グループチャット | テキスト、画像 |
+| QQ(OneBot)      | ✔    | プライベートチャット、グループチャット | テキスト、画像、音声 |
+| WeChat(個人アカウント)    | ✔    | WeChat 個人アカウントのプライベートチャット、グループチャット | テキスト、画像、音声 |
+| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram)   | ✔    | プライベートチャット、グループチャット | テキスト、画像 |
+| [WeChat(企業 WeChat)](https://github.com/Soulter/astrbot_plugin_wecom)    | ✔    | プライベートチャット | テキスト、画像、音声 |
+| Feishu   | ✔    | グループチャット | テキスト、画像 |
+| WeChat 対話オープンプラットフォーム | 🚧    | 計画中 | - |
+| Discord   | 🚧    | 計画中 | - |
+| WhatsApp   | 🚧    | 計画中 | - |
+| Xiaoai 音響   | 🚧    | 計画中 | - |
+
+# 🦌 今後のロードマップ
+
+> [!TIP]
+> Issue でさらに多くの提案を歓迎します <3
+
+- [ ] 現在のすべてのプラットフォームアダプターの機能の一貫性を確保し、改善する
+- [ ] プラグインインターフェースの最適化
+- [ ] GPT-Sovits などの TTS サービスをデフォルトでサポート
+- [ ] "チャット強化" 部分を完成させ、永続的な記憶をサポート
+- [ ] i18n の計画
+
+## ❤️ 貢献
+
+Issue や Pull Request を歓迎します！このプロジェクトに変更を加えるだけです :)
+
+新機能の追加については、まず Issue で議論してください。
+
+## 🌟 サポート
+
+- このプロジェクトに Star を付けてください！
+- [愛発電](https://afdian.com/a/soulter)で私をサポートしてください！
+- [WeChat](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)で私をサポートしてください~
+
+## ✨ デモ
 
 > [!NOTE]
-> macOS ユーザーの場合：macOS のセキュリティチェックにより、`astrbot` コマンドの初回実行に時間がかかる場合があります（約 10〜20 秒）。
+> 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
 
-`astrbot` の更新：
+<div align='center'>
 
-```bash
-uv tool upgrade astrbot --python 3.12
-```
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
 
-> [!WARNING]
-> `uv` 経由でデプロイした AstrBot は、**WebUI からのバージョンアップグレードに対応していません**。更新するには、上記のコマンドをコマンドラインで実行してください。
+_✨ 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）✨_
 
-### Docker デプロイ
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
 
-コンテナ運用に慣れており、より安定した本番向けのデプロイ方法を求めるユーザーには、Docker / Docker Compose での AstrBot デプロイをおすすめします。
+_✨ 多モーダル、ウェブ検索、長文の画像変換（設定可能）✨_
 
-公式ドキュメント [Docker を使用した AstrBot のデプロイ](https://docs.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。
+<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
 
-### 雨云でのデプロイ
+_✨ 自然言語タスク ✨_
 
-AstrBot をワンクリックでデプロイしたく、サーバーを自分で管理したくないユーザーには、雨云のワンクリッククラウドデプロイサービスをおすすめします ☁️:
+<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>
 
-[![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)
+_✨ プラグインシステム - 一部のプラグインの展示 ✨_
 
-### デスクトップアプリのデプロイ
+<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width="600">
 
-デスクトップで AstrBot を使い、主に ChatUI を入口として利用するユーザーには、AstrBot App をおすすめします。
+_✨ 管理パネル ✨_
 
-[AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) からダウンロードしてインストールしてください。この方式はデスクトップ向けであり、サーバー用途には推奨されません。
+![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
 
-### ランチャーのデプロイ
+_✨ 内蔵 Web Chat、オンラインでボットと対話 ✨_
 
-同じくデスクトップで、素早くデプロイしつつ環境を分離して多重起動したいユーザーには、AstrBot Launcher をおすすめします。
-
-[AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) からダウンロードしてインストールしてください。
-
-### Replit でのデプロイ
-
-Replit デプロイはコミュニティ提供の方式で、オンラインデモや軽量な試用に向いています。
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-### AUR
-
-AUR 方式は Arch Linux ユーザー向けで、システムのパッケージ運用に合わせて AstrBot を導入したい場合に適しています。
-
-次のコマンドで `astrbot-git` をインストールし、ローカル環境で AstrBot を起動してください。
-
-```bash
-yay -S astrbot-git
-```
-
-**その他のデプロイ方法**
-
-パネル操作での導入やより高度なカスタマイズが必要な場合は、[宝塔パネルデプロイ](https://docs.astrbot.app/deploy/astrbot/btpanel.html)（BT Panel 経由の導入）、[1Panel デプロイ](https://docs.astrbot.app/deploy/astrbot/1panel.html)（1Panel アプリマーケット経由）、[CasaOS デプロイ](https://docs.astrbot.app/deploy/astrbot/casaos.html)（NAS / ホームサーバー向け可視化導入）、[手動デプロイ](https://docs.astrbot.app/deploy/astrbot/cli.html)（`uv` とソースベースのフルカスタム導入）を参照してください。
-
-## サポートされているメッセージプラットフォーム
-
-AstrBot をよく使うチャットプラットフォームに接続できます。
-
-| プラットフォーム | 保守 |
-|---------|---------------|
-| QQ | 公式 |
-| OneBot v11 プロトコル実装 | 公式 |
-| Telegram | 公式 |
-| WeChat Work アプリケーション & WeChat Work インテリジェントボット | 公式 |
-| WeChat カスタマーサービス & WeChat 公式アカウント | 公式 |
-| Feishu (Lark) | 公式 |
-| DingTalk | 公式 |
-| Slack | 公式 |
-| Discord | 公式 |
-| LINE | 公式 |
-| Satori | 公式 |
-| KOOK | 公式 |
-| Misskey | 公式 |
-| Mattermost | 公式 |
-| WhatsApp (近日対応予定) | 公式 |
-| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | コミュニティ |
-| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | コミュニティ |
-| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | コミュニティ |
-
-
-## サポートされているモデルサービス
-
-| サービス | 種類 |
-|---------|---------------|
-| OpenAI および互換サービス | 大規模言語モデルサービス |
-| Anthropic | 大規模言語モデルサービス |
-| Google Gemini | 大規模言語モデルサービス |
-| Moonshot AI | 大規模言語モデルサービス |
-| 智谱 AI | 大規模言語モデルサービス |
-| DeepSeek | 大規模言語モデルサービス |
-| Ollama (セルフホスト) | 大規模言語モデルサービス |
-| LM Studio (セルフホスト) | 大規模言語モデルサービス |
-| [AIHubMix](https://aihubmix.com/?aff=4bfH) | 大規模言語モデルサービス（APIゲートウェイ、全モデル対応） |
-| [優云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | 大規模言語モデルサービス |
-| [302.AI](https://share.302.ai/rr1M3l) | 大規模言語モデルサービス |
-| [小馬算力](https://www.tokenpony.cn/3YPyf) | 大規模言語モデルサービス |
-| [硅基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | 大規模言語モデルサービス |
-| [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE) | 大規模言語モデルサービス |
-| ModelScope | 大規模言語モデルサービス |
-| OneAPI | 大規模言語モデルサービス |
-| Dify | LLMOps プラットフォーム |
-| Alibaba Cloud 百炼アプリケーション | LLMOps プラットフォーム |
-| Coze | LLMOps プラットフォーム |
-| OpenAI Whisper | 音声認識サービス |
-| SenseVoice | 音声認識サービス |
-| Xiaomi MiMo Omni | 音声認識サービス |
-| OpenAI TTS | 音声合成サービス |
-| Gemini TTS | 音声合成サービス |
-| GPT-Sovits-Inference | 音声合成サービス |
-| GPT-Sovits | 音声合成サービス |
-| FishAudio | 音声合成サービス |
-| Edge TTS | 音声合成サービス |
-| Alibaba Cloud 百炼 TTS | 音声合成サービス |
-| Azure TTS | 音声合成サービス |
-| Minimax TTS | 音声合成サービス |
-| Xiaomi MiMo TTS | 音声合成サービス |
-| Volcano Engine TTS | 音声合成サービス |
-
-## ❤️ コントリビューション
-
-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 :)
-
-### コントリビュート方法
-
-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。
-
-### 開発環境
-
-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。
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot
-pip install pre-commit
-pre-commit install
-```
-
-## 🌍 コミュニティ
-
-### QQ グループ
-
-- 12群: 916228568 (新)
-- 9群: 1076659624 (満員)
-- 10群: 1078079676 (満員)
-- 11群: 704659519 (満員)
-- 1群: 322154837 (満員)
-- 3群: 630166526 (満員)
-- 4群: 1077826412 (満員)
-- 5群: 822130018 (満員)
-- 6群: 753075035 (満員)
-- 7群: 743746109 (満員)
-- 8群: 1030353265 (満員)
-- 開発者群: 975206796
-- 開発者群（正式）: 1039761811
-
-### 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&max=300&columns=15" />
-</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
+</div>
 
 ## ⭐ Star History
 
 > [!TIP]
-> このプロジェクトがあなたの生活や仕事に役立ったり、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
+> このプロジェクトがあなたの生活や仕事に役立った場合、またはこのプロジェクトの将来の発展に関心がある場合は、プロジェクトに Star を付けてください。これはこのオープンソースプロジェクトを維持するためのモチベーションです <3
 
 <div align="center">
 
-[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
 
 </div>
 
-<div align="center">
+## スポンサー
 
-_共感力と能力は決して対立するものではありません。私たちが目指すのは、感情を理解し、心の支えとなるだけでなく、確実に仕事をこなせるロボットの創造です。_
+[<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
+    -->
 
 _私は、高性能ですから!_
-
-<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
-
-</div>

README_ru.md

@@ -1,278 +0,0 @@
-![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
-
-<div align="center">
-
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.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_ja.md">日本語</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
-
-<br>
-
-<div>
-<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%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?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://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFZIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjczODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
-<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=%20&label=%D0%9C%D0%B0%D1%80%D0%BA%D0%B5%D1%82%D0%BF%D0%BB%D0%B5%D0%B9%D1%81&cacheSeconds=3600">
-<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
-</div>
-
-<br>
-
-<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>
-<a href="mailto:community@astrbot.app">Email Support</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.
-
-![521771166-00782c4c-4437-4d97-aabc-605e3738da5c (1)](https://github.com/user-attachments/assets/61e7b505-f7db-41aa-a75f-4ef8f079b8ba)
-
-## Основные возможности
-
-1. 💯 Бесплатно & Открытый исходный код.
-2. ✨ Диалоги с ИИ-моделями, мультимодальность, Agent, MCP, Skills, База знаний, Настройка личности, автоматическое сжатие диалогов.
-3. 🤖 Поддержка интеграции с платформами Agents, такими как Dify, Alibaba Cloud Bailian, Coze и др.
-4. 🌐 Мультиплатформенность: поддержка QQ, WeChat для предприятий, Feishu, DingTalk, публичных аккаунтов WeChat, Telegram, Slack и [других](#Поддерживаемые-платформы-обмена-сообщениями).
-5. 📦 Расширение плагинами: доступно более 1000 плагинов для установки в один клик.
-6. 🛡️  Изолированная среда[Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html): безопасное выполнение любого кода, вызов Shell, повторное использование ресурсов на уровне сессии.
-7. 💻 Поддержка WebUI.
-8. 🌈 Поддержка Web ChatUI: встроенная песочница агента, веб-поиск и др.
-9. 🌐 Поддержка интернационализации (i18n).
-
-<br>
-
-<table align="center">
-  <tr align="center">
-    <th>💙 Ролевые игры & Эмоциональная поддержка</th>
-    <th>✨ Проактивный Агент (Agent)</th>
-    <th>🚀 Универсальные возможности Агента</th>
-    <th>🧩 1000+ плагинов сообщества</th>
-  </tr>
-  <tr>
-    <td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
-    <td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
-  </tr>
-</table>
-
-## Быстрый старт
-
-### Развёртывание в один клик
-
-Для пользователей, которые хотят быстро попробовать AstrBot, знакомы с командной строкой и могут самостоятельно установить окружение `uv`, мы рекомендуем использовать развёртывание в один клик через `uv` ⚡️:
-
-```bash
-uv tool install astrbot --python 3.12
-astrbot init # Выполните эту команду только при первом запуске для инициализации окружения
-astrbot run
-```
-
-> Требуется установленный [uv](https://docs.astral.sh/uv/).
-> Для AstrBot требуется Python 3.12 или новее. Параметр `--python 3.12` гарантирует, что `uv` создаст tool-окружение с Python 3.12.
-
-> [!NOTE]
-> Для пользователей macOS: из-за проверок безопасности macOS первый запуск команды `astrbot` может занять больше времени (около 10-20 секунд).
-
-Обновить `astrbot`:
-
-```bash
-uv tool upgrade astrbot --python 3.12
-```
-
-> [!WARNING]
-> AstrBot, развёрнутый через `uv`, **не поддерживает обновление через WebUI**. Для обновления выполните указанную выше команду из командной строки.
-
-### Развёртывание Docker
-
-Для пользователей, знакомых с контейнерами и которым нужен более стабильный и подходящий для production способ, мы рекомендуем разворачивать AstrBot через Docker / Docker Compose.
-
-См. официальную документацию [Развёртывание AstrBot с Docker](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
-
-### Развёртывание на RainYun
-
-Для пользователей, которые хотят развернуть AstrBot в один клик и не хотят самостоятельно управлять сервером, мы рекомендуем облачный сервис развёртывания в один клик от RainYun ☁️:
-
-[![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 десктопного приложения
-
-Для пользователей, которые хотят использовать AstrBot на десктопе и в основном работают через ChatUI, мы рекомендуем AstrBot App.
-
-Перейдите в [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop), скачайте и установите приложение; этот вариант предназначен для десктопа и не рекомендуется для серверных сценариев.
-
-### Развёртывание через лаунчер
-
-Также на десктопе, для пользователей, которым нужен быстрый запуск и мультиинстанс с изоляцией окружений, мы рекомендуем AstrBot Launcher.
-
-Перейдите в [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher), чтобы скачать и установить.
-
-### Развёртывание на Replit
-
-Развёртывание через Replit поддерживается сообществом и подходит для онлайн-демо и лёгких тестовых запусков.
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-### AUR
-
-AUR-вариант предназначен для пользователей Arch Linux, которым удобна установка через системный менеджер пакетов.
-
-Выполните команду ниже для установки `astrbot-git`, затем запустите AstrBot локально.
-
-```bash
-yay -S astrbot-git
-```
-
-**Другие способы развёртывания**
-
-Если вам нужна панельная установка или более глубокая кастомизация, смотрите [Развёртывание BT-Panel](https://docs.astrbot.app/deploy/astrbot/btpanel.html) (установка через BT Panel), [Развёртывание 1Panel](https://docs.astrbot.app/deploy/astrbot/1panel.html) (развёртывание через маркетплейс 1Panel), [Развёртывание CasaOS](https://docs.astrbot.app/deploy/astrbot/casaos.html) (визуальный вариант для NAS и домашних серверов) и [Ручное развёртывание](https://docs.astrbot.app/deploy/astrbot/cli.html) (полностью настраиваемая установка из исходников через `uv`).
-
-## Поддерживаемые платформы обмена сообщениями
-
-Подключите AstrBot к вашим любимым чат-платформам.
-
-| Платформа | Поддержка |
-|---------|---------------|
-| QQ | Официальная |
-| Реализация протокола OneBot v11 | Официальная |
-| Telegram | Официальная |
-| Приложение WeChat Work и интеллектуальный бот WeChat Work | Официальная |
-| Служба поддержки WeChat и официальные аккаунты WeChat | Официальная |
-| Feishu (Lark) | Официальная |
-| DingTalk | Официальная |
-| Slack | Официальная |
-| Discord | Официальная |
-| LINE | Официальная |
-| Satori | Официальная |
-| KOOK | Официальная |
-| Misskey | Официальная |
-| Mattermost | Официальная |
-| WhatsApp (Скоро) | Официальная |
-| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | Сообщество |
-| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | Сообщество |
-| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | Сообщество |
-
-## Поддерживаемые сервисы моделей
-
-| Сервис | Тип |
-|---------|---------------|
-| OpenAI и совместимые сервисы | Сервисы LLM |
-| Anthropic | Сервисы LLM |
-| Google Gemini | Сервисы LLM |
-| Moonshot AI | Сервисы LLM |
-| Zhipu AI | Сервисы LLM |
-| DeepSeek | Сервисы LLM |
-| Ollama (Самостоятельное размещение) | Сервисы LLM |
-| LM Studio (Самостоятельное размещение) | Сервисы LLM |
-| [AIHubMix](https://aihubmix.com/?aff=4bfH) | Сервисы LLM (API-шлюз, поддерживает все модели) |
-| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | Сервисы LLM |
-| [302.AI](https://share.302.ai/rr1M3l) | Сервисы LLM |
-| [TokenPony](https://www.tokenpony.cn/3YPyf) | Сервисы LLM |
-| [SiliconFlow](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | Сервисы LLM |
-| [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE) | Сервисы LLM |
-| ModelScope | Сервисы LLM |
-| OneAPI | Сервисы LLM |
-| Dify | Платформы LLMOps |
-| Приложения Alibaba Cloud Bailian | Платформы LLMOps |
-| Coze | Платформы LLMOps |
-| OpenAI Whisper | Сервисы распознавания речи |
-| SenseVoice | Сервисы распознавания речи |
-| Xiaomi MiMo Omni | Сервисы распознавания речи |
-| OpenAI TTS | Сервисы синтеза речи |
-| Gemini TTS | Сервисы синтеза речи |
-| GPT-Sovits-Inference | Сервисы синтеза речи |
-| GPT-Sovits | Сервисы синтеза речи |
-| FishAudio | Сервисы синтеза речи |
-| Edge TTS | Сервисы синтеза речи |
-| Alibaba Cloud Bailian TTS | Сервисы синтеза речи |
-| Azure TTS | Сервисы синтеза речи |
-| Minimax TTS | Сервисы синтеза речи |
-| Xiaomi MiMo TTS | Сервисы синтеза речи |
-| Volcano Engine TTS | Сервисы синтеза речи |
-
-## ❤️ 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 12: 916228568 (новая)
-- Группа 9: 1076659624 (полная)
-- Группа 10: 1078079676 (полная)
-- Группа 11: 704659519 (полная)
-- Группа 1: 322154837 (полная)
-- Группа 3: 630166526 (полная)
-- Группа 4: 1077826412 (полная)
-- Группа 5: 822130018 (полная)
-- Группа 6: 753075035 (полная)
-- Группа 7: 743746109 (полная)
-- Группа 8: 1030353265 (полная)
-- Группа разработчиков: 975206796
-- Группа разработчиков (официальная): 1039761811
-
-### 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&max=300&columns=15" />
-</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>
-
-<div align="center">
-
-_Сопровождение и способности никогда не должны быть противоположностями. Мы стремимся создать робота, который сможет как понимать эмоции, оказывать душевную поддержку, так и надёжно выполнять работу._
-
-_私は、高性能ですから!_
-
-<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
-
-</div>

README_zh-TW.md

@@ -1,277 +0,0 @@
-![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
-
-<div align="center">
-
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.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>
-
-<br>
-
-<div>
-<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%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?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://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
-<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=%E5%80%8B&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%A0%B4&cacheSeconds=3600">
-<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
-</div>
-
-<br>
-
-<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> ｜
-<a href="mailto:community@astrbot.app">Email</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。
-
-![screenshot_1 5x_postspark_2026-02-27_22-37-45](https://github.com/user-attachments/assets/f17cdb90-52d7-4773-be2e-ff64b566af6b)
-
-## 主要功能
-
-1. 💯 免費 & 開源。
-2. ✨ AI 大模型對話，多模態，Agent，MCP，Skills，知識庫，人格設定，自動壓縮對話。
-3. 🤖 支援接入 Dify、阿里雲百煉、Coze 等智慧體 (Agent) 平台。
-4. 🌐 多平台，支援 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. 📦 插件擴展，已有 1000+ 個插件可一鍵安裝。
-6. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) 隔離化環境，安全地執行任何代碼、調用 Shell、會話級資源複用。
-7. 💻 WebUI 支援。
-8. 🌈 Web ChatUI 支援，ChatUI 內置代理沙盒 (Agent Sandbox)、網頁搜尋等。
-9. 🌐 國際化（i18n）支援。
-
-<br>
-
-<table align="center">
-  <tr align="center">
-    <th>💙 角色扮演 & 情感陪伴</th>
-    <th>✨ 主動式 Agent</th>
-    <th>🚀 通用 Agentic 能力</th>
-    <th>🧩 1000+ 社區外掛程式</th>
-  </tr>
-  <tr>
-    <td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
-    <td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
-  </tr>
-</table>
-
-## 快速開始
-
-### 一鍵部署
-
-對於想快速體驗 AstrBot、且熟悉命令列並能自行安裝 `uv` 環境的使用者，我們推薦使用 `uv` 一鍵部署方式 ⚡️。
-
-```bash
-uv tool install astrbot --python 3.12
-astrbot init # 僅首次執行此命令以初始化環境
-astrbot run
-```
-
-> 需要安裝 [uv](https://docs.astral.sh/uv/)。
-> AstrBot 需要 Python 3.12 或更高版本。`--python 3.12` 會確保 `uv` 使用 Python 3.12 建立 tool 環境。
-
-> [!NOTE]
-> 對於 macOS 使用者：由於 macOS 安全性檢查，首次執行 `astrbot` 指令可能需要較長時間（約 10-20 秒）。
-
-更新 `astrbot`：
-
-```bash
-uv tool upgrade astrbot --python 3.12
-```
-
-> [!WARNING]
-> 透過 `uv` 部署的 AstrBot **不支援在 WebUI 中進行版本升級**。如需更新，請透過命令列執行上述命令。
-
-### Docker 部署
-
-對於熟悉容器、希望獲得更穩定且更適合正式環境部署方式的使用者，我們推薦使用 Docker / Docker Compose 部署 AstrBot。
-
-請參考官方文件 [使用 Docker 部署 AstrBot](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
-
-### 在雨雲上部署
-
-對於希望一鍵部署 AstrBot 且不想自行管理伺服器的使用者，我們推薦使用雨雲的一鍵雲端部署服務 ☁️：
-
-[![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)
-
-### 桌面客戶端部署
-
-對於希望在桌面端使用 AstrBot、並以 ChatUI 為主要入口的使用者，我們推薦使用 AstrBot App。
-
-前往 [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) 下載並安裝；此方式面向桌面使用，不建議伺服器場景。
-
-### 啟動器部署
-
-同樣在桌面端，對於希望快速部署並實現環境隔離多開的使用者，我們推薦使用 AstrBot Launcher。
-
-前往 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 下載並安裝。
-
-### 在 Replit 上部署
-
-Replit 部署由社群維護，適合線上示範與輕量試用情境。
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-### AUR
-
-AUR 方式面向 Arch Linux 使用者，適合希望透過系統套件管理器安裝 AstrBot 的場景。
-
-在終端執行下方命令安裝 `astrbot-git` 套件，安裝完成後即可啟動使用。
-
-```bash
-yay -S astrbot-git
-```
-
-**更多部署方式**
-
-若你需要面板化或更高自訂程度的部署，可參考 [寶塔面板](https://docs.astrbot.app/deploy/astrbot/btpanel.html)（BT Panel 應用商店安裝）、[1Panel](https://docs.astrbot.app/deploy/astrbot/1panel.html)（1Panel 應用商店安裝）、[CasaOS](https://docs.astrbot.app/deploy/astrbot/casaos.html)（NAS / 家用伺服器可視化部署）與 [手動部署](https://docs.astrbot.app/deploy/astrbot/cli.html)（基於原始碼與 `uv` 的完整自訂安裝）。
-
-## 支援的訊息平台
-
-將 AstrBot 連接到你常用的聊天平台。
-
-| 平台 | 維護方 |
-|---------|---------------|
-| QQ | 官方維護 |
-| OneBot v11 協議實作 | 官方維護 |
-| Telegram | 官方維護 |
-| 企微應用 & 企微智慧機器人 | 官方維護 |
-| 微信客服 & 微信公眾號 | 官方維護 |
-| 飛書 | 官方維護 |
-| 釘釘 | 官方維護 |
-| Slack | 官方維護 |
-| Discord | 官方維護 |
-| LINE | 官方維護 |
-| Satori | 官方維護 |
-| KOOK | 官方維護 |
-| Misskey | 官方維護 |
-| Mattermost | 官方維護 |
-| WhatsApp（即將支援） | 官方維護 |
-| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | 社群維護 |
-| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | 社群維護 |
-| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | 社群維護 |
-
-## 支援的模型服務
-
-| 服務 | 類型 |
-|---------|---------------|
-| OpenAI 及相容服務 | 大型模型服務 |
-| Anthropic | 大型模型服務 |
-| Google Gemini | 大型模型服務 |
-| Moonshot AI | 大型模型服務 |
-| 智譜 AI | 大型模型服務 |
-| DeepSeek | 大型模型服務 |
-| Ollama（本機部署） | 大型模型服務 |
-| LM Studio（本機部署） | 大型模型服務 |
-| [AIHubMix](https://aihubmix.com/?aff=4bfH) | 大型模型服務（API 閘道，支援所有模型） |
-| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | 大型模型服務 |
-| [302.AI](https://share.302.ai/rr1M3l) | 大型模型服務 |
-| [小馬算力](https://www.tokenpony.cn/3YPyf) | 大型模型服務 |
-| [矽基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | 大型模型服務 |
-| [PPIO 派歐雲](https://ppio.com/user/register?invited_by=AIOONE) | 大型模型服務 |
-| ModelScope | 大型模型服務 |
-| OneAPI | 大型模型服務 |
-| Dify | LLMOps 平台 |
-| 阿里雲百煉應用 | LLMOps 平台 |
-| Coze | LLMOps 平台 |
-| OpenAI Whisper | 語音轉文字服務 |
-| SenseVoice | 語音轉文字服務 |
-| Xiaomi MiMo Omni | 語音轉文字服務 |
-| OpenAI TTS | 文字轉語音服務 |
-| Gemini TTS | 文字轉語音服務 |
-| GPT-Sovits-Inference | 文字轉語音服務 |
-| GPT-Sovits | 文字轉語音服務 |
-| FishAudio | 文字轉語音服務 |
-| Edge TTS | 文字轉語音服務 |
-| 阿里雲百煉 TTS | 文字轉語音服務 |
-| Azure TTS | 文字轉語音服務 |
-| Minimax TTS | 文字轉語音服務 |
-| Xiaomi MiMo TTS | 文字轉語音服務 |
-| 火山引擎 TTS | 文字轉語音服務 |
-
-## ❤️ 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
-
-- 12 群：916228568 (新)
-- 9 群：1076659624 (人滿)
-- 10 群：1078079676 (人滿)
-- 11 群：704659519 (人滿)
-- 1 群：322154837 (人滿)
-- 3 群：630166526 (人滿)
-- 4 群：1077826412 (人滿)
-- 5 群：822130018 (人滿)
-- 6 群：753075035 (人滿)
-- 7 群：743746109 (人滿)
-- 8 群：1030353265 (人滿)
-- 開發者群（闲聊吹水）：975206796
-- 開發者群（正式）：1039761811
-
-### 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&max=300&columns=15" />
-</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>
-
-<div align="center">
-
-_陪伴與能力從來不應該是對立面。我們希望創造的是一個既能理解情緒、給予陪伴，也能可靠完成工作的機器人。_
-
-_私は、高性能ですから!_
-
-<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
-
-</div>

README_zh.md

@@ -1,288 +0,0 @@
-![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
-
-<div align="center">
-
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.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_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>
-
-<div>
-<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%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?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://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
-<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://astrbot.app/">主页</a> ｜
-<a href="https://astrbot.app/">文档</a> ｜
-<a href="https://blog.astrbot.app/">博客</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> ｜
-<a href="mailto:community@astrbot.app">Email</a>
-
-</div>
-
-AstrBot 是一个开源的一站式 Agentic 个人和群聊助手，可在 QQ、Telegram、企业微信、飞书、钉钉、Slack 等数十款主流即时通讯软件上部署，此外还内置类似 OpenWebUI 的轻量化 ChatUI，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 AI 应用。
-
-![landingpage](https://github.com/user-attachments/assets/45fc5699-cddf-4e21-af35-13040706f6c0)
-
-## 主要功能
-
-1. 💯 免费 & 开源。
-2. ✨ AI 大模型对话，多模态，Agent，MCP，Skills，知识库，人格设定，自动压缩对话。
-3. 🤖 支持接入 Dify、阿里云百炼、Coze 等智能体平台。
-4. 🌐 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)。
-5. 📦 插件扩展，已有 1000+ 个插件可一键安装。
-6. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) 隔离化环境，安全地执行任何代码、调用 Shell、会话级资源复用。
-7. 💻 WebUI 支持。
-8. 🌈 Web ChatUI 支持，ChatUI 内置代理沙盒、网页搜索等。
-9. 🌐 国际化（i18n）支持。
-
-<br>
-
-<table align="center">
-  <tr align="center">
-    <th>💙 角色扮演 & 情感陪伴</th>
-    <th>✨ 主动式 Agent</th>
-    <th>🚀 通用 Agentic 能力</th>
-    <th>🧩 1000+ 社区插件</th>
-  </tr>
-  <tr>
-    <td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
-    <td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
-    <td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
-  </tr>
-</table>
-
-## 快速开始
-
-### 一键部署
-
-对于想快速体验 AstrBot、且熟悉命令行并能够自行安装 `uv` 环境的用户，我们推荐使用 `uv` 一键部署方式 ⚡️。
-
-```bash
-uv tool install astrbot --python 3.12
-astrbot init # 仅首次执行此命令以初始化环境
-astrbot run
-```
-
-> 需要安装 [uv](https://docs.astral.sh/uv/)。
-> AstrBot 需要 Python 3.12 或更高版本。`--python 3.12` 会确保 `uv` 使用 Python 3.12 创建 tool 环境。
-
-> [!NOTE]
-> 对于 macOS 用户：由于 macOS 安全检查，首次运行 `astrbot` 命令可能需要较长时间（约 10-20 秒）。
-
-更新 `astrbot`：
-
-```bash
-uv tool upgrade astrbot --python 3.12
-```
-
-> [!WARNING]
-> 通过 `uv` 部署的 AstrBot **不支持在 WebUI 中进行版本升级**。如需更新，请通过命令行执行上述命令。
-
-### Docker 部署
-
-对于熟悉容器、希望获得更稳定且更适合生产环境部署方式的用户，我们推荐使用 Docker / Docker Compose 部署 AstrBot。
-
-请参考官方文档 [使用 Docker 部署 AstrBot](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
-
-### 在 雨云 上部署
-
-对于希望一键部署 AstrBot 且不想自行管理服务器的用户，我们推荐使用雨云的一键云部署服务 ☁️：
-
-[![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)
-
-### 桌面客户端部署
-
-对于希望在桌面端使用 AstrBot、并以 ChatUI 为主要入口的用户，我们推荐使用 AstrBot App。
-
-前往 [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) 下载并安装；该方式面向桌面使用，不推荐服务器场景。
-
-### 启动器部署
-
-同样在桌面端，希望快速部署并实现环境隔离多开的用户，我们推荐使用 AstrBot Launcher。
-
-前往 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 下载并安装。
-
-### 在 Replit 上部署
-
-Replit 部署由社区维护，适合在线演示和轻量试用场景。
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-### AUR
-
-AUR 方式面向 Arch Linux 用户，适合希望通过系统包管理器安装 AstrBot 的场景。
-
-在终端执行下方命令安装 `astrbot-git` 包，安装完成后即可启动使用。
-
-```bash
-yay -S astrbot-git
-```
-
-**更多部署方式**
-
-若你需要面板化或更高自定义部署，可参考 [宝塔面板](https://docs.astrbot.app/deploy/astrbot/btpanel.html)（BT Panel 应用商店安装）、[1Panel](https://docs.astrbot.app/deploy/astrbot/1panel.html)（1Panel 应用商店安装）、[CasaOS](https://docs.astrbot.app/deploy/astrbot/casaos.html)（NAS / 家庭服务器可视化部署）和 [手动部署](https://docs.astrbot.app/deploy/astrbot/cli.html)（基于源码与 `uv` 的完整自定义安装）。
-
-## 支持的消息平台
-
-将 AstrBot 连接到你常用的聊天平台。
-
-| 平台 | 维护方 |
-|---------|---------------|
-| **QQ** | 官方维护 |
-| **OneBot v11** | 官方维护 |
-| **Telegram** | 官方维护 |
-| **企微应用 & 企微智能机器人** | 官方维护 |
-| **微信客服 & 微信公众号** | 官方维护 |
-| **飞书** | 官方维护 |
-| **钉钉** | 官方维护 |
-| **Slack** | 官方维护 |
-| **Discord** | 官方维护 |
-| **LINE** | 官方维护 |
-| **Satori** | 官方维护 |
-| **KOOK** | 官方维护 |
-| **Misskey** | 官方维护 |
-| **Mattermost** | 官方维护 |
-| **WhatsApp（将支持）** | 官方维护 |
-| [**Matrix**](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | 社区维护 |
-| [**Rocket.Chat**](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | 社区维护 |
-| [**VoceChat**](https://github.com/HikariFroya/astrbot_plugin_vocechat) | 社区维护 |
-
-## 支持的模型提供商
-
-| 提供商 | 类型 |
-|---------|---------------|
-| 自定义 | 任何 OpenAI API 兼容的服务 |
-| OpenAI | LLM |
-| Anthropic | LLM |
-| Google Gemini | LLM |
-| Moonshot AI | LLM |
-| 智谱 AI | LLM |
-| DeepSeek | LLM |
-| Ollama (本地部署) | LLM |
-| LM Studio (本地部署) | LLM |
-| [AIHubMix](https://aihubmix.com/?aff=4bfH) | LLM (API 网关, 支持所有模型) |
-| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | LLM (API 网关, 支持所有模型) |
-| [硅基流动](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | LLM (API 网关, 支持所有模型)  |
-| [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE) | LLM (API 网关, 支持所有模型) |
-| [302.AI](https://share.302.ai/rr1M3l) | LLM (API 网关, 支持所有模型)|
-| [小马算力](https://www.tokenpony.cn/3YPyf) | LLM (API 网关, 支持所有模型)|
-| ModelScope | LLM |
-| OneAPI | LLM |
-| Dify | LLMOps 平台 |
-| 阿里云百炼应用 | LLMOps 平台 |
-| Coze | LLMOps 平台 |
-| OpenAI Whisper | 语音转文本 |
-| SenseVoice | 语音转文本 |
-| Xiaomi MiMo Omni | 语音转文本 |
-| OpenAI TTS | 文本转语音 |
-| Gemini TTS | 文本转语音 |
-| GPT-Sovits-Inference | 文本转语音 |
-| GPT-Sovits | 文本转语音 |
-| FishAudio | 文本转语音 |
-| Edge TTS | 文本转语音 |
-| 阿里云百炼 TTS | 文本转语音 |
-| Azure TTS | 文本转语音 |
-| Minimax TTS | 文本转语音 |
-| Xiaomi MiMo TTS | 文本转语音 |
-| 火山引擎 TTS | 文本转语音 |
-
-## ❤️ 贡献
-
-欢迎任何 Issues/Pull Requests！只需要将你的更改提交到此项目 ：)
-
-### 如何贡献
-
-你可以通过查看问题或帮助审核 PR（拉取请求）来贡献。任何问题或 PR 都欢迎参与，以促进社区贡献。当然，这些只是建议，你可以以任何方式进行贡献。对于新功能的添加，请先通过 Issue 讨论。
-
-### 开发环境
-
-AstrBot 使用 `ruff` 进行代码格式化和检查。
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot
-pip install pre-commit
-pre-commit install
-```
-
-## 🌍 社区
-
-### QQ 群组
-
-- 12 群：916228568 (新)
-- 9 群：1076659624 (人满)
-- 10 群：1078079676 (人满)
-- 11 群：704659519 (人满)
-- 1 群：322154837 (人满)
-- 3 群：630166526 (人满)
-- 4 群：1077826412 (人满)
-- 5 群：822130018 (人满)
-- 6 群：753075035 (人满)
-- 7 群：743746109 (人满)
-- 8 群：1030353265 (人满)
-- 开发者群（偏闲聊吹水）：975206796
-- 开发者群（正式）：1039761811
-
-### Discord 频道
-
-- [Discord](https://discord.gg/hAVk6tgV36)
-
-## ❤️ Special Thanks
-
-特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
-
-<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot&max=300&columns=15" />
-</a>
-
-此外，本项目的诞生离不开以下开源项目的帮助：
-
-- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 伟大的猫猫框架
-
-开源项目友情链接：
-
-- [NoneBot2](https://github.com/nonebot/nonebot2) - 优秀的 Python 异步 ChatBot 框架
-- [Koishi](https://github.com/koishijs/koishi) - 优秀的 Node.js ChatBot 框架
-- [MaiBot](https://github.com/Mai-with-u/MaiBot) - 优秀的拟人化 AI ChatBot
-- [nekro-agent](https://github.com/KroMiose/nekro-agent) - 优秀的 Agent ChatBot
-- [LangBot](https://github.com/langbot-app/LangBot) - 优秀的多平台 AI ChatBot
-- [ChatLuna](https://github.com/ChatLunaLab/chatluna) - 优秀的多平台 AI ChatBot Koishi 插件
-- [Operit AI](https://github.com/AAswordman/Operit) - 优秀的 AI 智能助手 Android APP
-
-## ⭐ Star History
-
-> [!TIP]
-> 如果本项目对您的生活 / 工作产生了帮助，或者您关注本项目的未来发展，请给项目 Star，这是我们维护这个开源项目的动力 <3
-
-<div align="center">
-
-[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
-
-</div>
-
-<div align="center">
-
-_陪伴与能力从来不应该是对立面。我们希望创造的是一个既能理解情绪、给予陪伴，也能可靠完成工作的机器人。_
-
-_私は、高性能ですから!_
-
-<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
-
-</div>

astrbot/api/__init__.py

@@ -1,19 +1,20 @@
-from astrbot import logger
-from astrbot.core import html_renderer, sp
-from astrbot.core.agent.tool import FunctionTool, ToolSet
-from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
 from astrbot.core.config.astrbot_config import AstrBotConfig
-from astrbot.core.star.register import register_agent as agent
+from astrbot import logger
+from astrbot.core import html_renderer
+from astrbot.core import sp
 from astrbot.core.star.register import register_llm_tool as llm_tool
+from astrbot.core.star.register import register_agent as agent
+from astrbot.core.agent.tool import ToolSet, FunctionTool
+from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
 
 __all__ = [
     "AstrBotConfig",
-    "BaseFunctionToolExecutor",
-    "FunctionTool",
-    "ToolSet",
-    "agent",
+    "logger",
     "html_renderer",
     "llm_tool",
-    "logger",
+    "agent",
     "sp",
+    "ToolSet",
+    "FunctionTool",
+    "BaseFunctionToolExecutor",
 ]

astrbot/api/all.py

@@ -1,4 +1,3 @@
-# ruff: noqa: F401, F403, F811, I001
 from astrbot.core.config.astrbot_config import AstrBotConfig
 from astrbot import logger
 from astrbot.core import html_renderer
@@ -37,8 +36,7 @@ from astrbot.core.star.config import *
 
 
 # provider
-from astrbot.core.provider import Provider, ProviderMetaData
-from astrbot.core.db.po import Personality
+from astrbot.core.provider import Provider, Personality, ProviderMetaData
 
 # platform
 from astrbot.core.platform import (
@@ -52,4 +50,4 @@ from astrbot.core.platform import (
 
 from astrbot.core.platform.register import register_platform_adapter
 
-from .message_components import *
+from .message_components import *

astrbot/api/event/__init__.py

@@ -1,17 +1,18 @@
 from astrbot.core.message.message_event_result import (
+    MessageEventResult,
+    MessageChain,
     CommandResult,
     EventResultType,
-    MessageChain,
-    MessageEventResult,
     ResultContentType,
 )
+
 from astrbot.core.platform import AstrMessageEvent
 
 __all__ = [
-    "AstrMessageEvent",
+    "MessageEventResult",
+    "MessageChain",
     "CommandResult",
     "EventResultType",
-    "MessageChain",
-    "MessageEventResult",
+    "AstrMessageEvent",
     "ResultContentType",
 ]

astrbot/api/event/filter/__init__.py

@@ -1,72 +1,51 @@
-from astrbot.core.star.filter.custom_filter import CustomFilter
-from astrbot.core.star.filter.event_message_type import (
-    EventMessageType,
-    EventMessageTypeFilter,
-)
-from astrbot.core.star.filter.permission import PermissionType, PermissionTypeFilter
-from astrbot.core.star.filter.platform_adapter_type import (
-    PlatformAdapterType,
-    PlatformAdapterTypeFilter,
-)
-from astrbot.core.star.register import register_after_message_sent as after_message_sent
-from astrbot.core.star.register import register_command as command
-from astrbot.core.star.register import register_command_group as command_group
-from astrbot.core.star.register import register_custom_filter as custom_filter
-from astrbot.core.star.register import register_event_message_type as event_message_type
-from astrbot.core.star.register import register_llm_tool as llm_tool
-from astrbot.core.star.register import register_on_agent_begin as on_agent_begin
-from astrbot.core.star.register import register_on_agent_done as on_agent_done
-from astrbot.core.star.register import register_on_astrbot_loaded as on_astrbot_loaded
-from astrbot.core.star.register import (
-    register_on_decorating_result as on_decorating_result,
-)
-from astrbot.core.star.register import register_on_llm_request as on_llm_request
-from astrbot.core.star.register import register_on_llm_response as on_llm_response
-from astrbot.core.star.register import (
-    register_on_llm_tool_respond as on_llm_tool_respond,
-)
-from astrbot.core.star.register import register_on_platform_loaded as on_platform_loaded
-from astrbot.core.star.register import register_on_plugin_error as on_plugin_error
-from astrbot.core.star.register import register_on_plugin_loaded as on_plugin_loaded
-from astrbot.core.star.register import register_on_plugin_unloaded as on_plugin_unloaded
-from astrbot.core.star.register import register_on_using_llm_tool as on_using_llm_tool
-from astrbot.core.star.register import (
-    register_on_waiting_llm_request as on_waiting_llm_request,
-)
-from astrbot.core.star.register import register_permission_type as permission_type
 from astrbot.core.star.register import (
+    register_command as command,
+    register_command_group as command_group,
+    register_event_message_type as event_message_type,
+    register_regex as regex,
     register_platform_adapter_type as platform_adapter_type,
+    register_permission_type as permission_type,
+    register_custom_filter as custom_filter,
+    register_on_astrbot_loaded as on_astrbot_loaded,
+    register_on_platform_loaded as on_platform_loaded,
+    register_on_llm_request as on_llm_request,
+    register_on_llm_response as on_llm_response,
+    register_llm_tool as llm_tool,
+    register_on_decorating_result as on_decorating_result,
+    register_after_message_sent as after_message_sent,
 )
-from astrbot.core.star.register import register_regex as regex
+
+from astrbot.core.star.filter.event_message_type import (
+    EventMessageTypeFilter,
+    EventMessageType,
+)
+from astrbot.core.star.filter.platform_adapter_type import (
+    PlatformAdapterTypeFilter,
+    PlatformAdapterType,
+)
+from astrbot.core.star.filter.permission import PermissionTypeFilter, PermissionType
+from astrbot.core.star.filter.custom_filter import CustomFilter
 
 __all__ = [
-    "CustomFilter",
-    "EventMessageType",
-    "EventMessageTypeFilter",
-    "PermissionType",
-    "PermissionTypeFilter",
-    "PlatformAdapterType",
-    "PlatformAdapterTypeFilter",
-    "after_message_sent",
     "command",
     "command_group",
-    "custom_filter",
     "event_message_type",
-    "llm_tool",
-    "on_agent_begin",
-    "on_agent_done",
-    "on_astrbot_loaded",
-    "on_decorating_result",
-    "on_llm_request",
-    "on_llm_response",
-    "on_plugin_error",
-    "on_plugin_loaded",
-    "on_plugin_unloaded",
-    "on_platform_loaded",
-    "on_waiting_llm_request",
-    "permission_type",
-    "platform_adapter_type",
     "regex",
-    "on_using_llm_tool",
-    "on_llm_tool_respond",
+    "platform_adapter_type",
+    "permission_type",
+    "EventMessageTypeFilter",
+    "EventMessageType",
+    "PlatformAdapterTypeFilter",
+    "PlatformAdapterType",
+    "PermissionTypeFilter",
+    "CustomFilter",
+    "custom_filter",
+    "PermissionType",
+    "on_astrbot_loaded",
+    "on_platform_loaded",
+    "on_llm_request",
+    "llm_tool",
+    "on_decorating_result",
+    "after_message_sent",
+    "on_llm_response",
 ]

astrbot/api/platform/__init__.py

@@ -1,22 +1,23 @@
-from astrbot.core.message.components import *
 from astrbot.core.platform import (
-    AstrBotMessage,
     AstrMessageEvent,
-    Group,
+    Platform,
+    AstrBotMessage,
     MessageMember,
     MessageType,
-    Platform,
     PlatformMetadata,
+    Group,
 )
+
 from astrbot.core.platform.register import register_platform_adapter
+from astrbot.core.message.components import *
 
 __all__ = [
-    "AstrBotMessage",
     "AstrMessageEvent",
-    "Group",
+    "Platform",
+    "AstrBotMessage",
     "MessageMember",
     "MessageType",
-    "Platform",
     "PlatformMetadata",
     "register_platform_adapter",
+    "Group",
 ]

astrbot/api/provider/__init__.py

@@ -1,18 +1,17 @@
-from astrbot.core.db.po import Personality
-from astrbot.core.provider import Provider, STTProvider
+from astrbot.core.provider import Provider, STTProvider, Personality
 from astrbot.core.provider.entities import (
-    LLMResponse,
-    ProviderMetaData,
     ProviderRequest,
     ProviderType,
+    ProviderMetaData,
+    LLMResponse,
 )
 
 __all__ = [
-    "LLMResponse",
-    "Personality",
     "Provider",
-    "ProviderMetaData",
+    "STTProvider",
+    "Personality",
     "ProviderRequest",
     "ProviderType",
-    "STTProvider",
+    "ProviderMetaData",
+    "LLMResponse",
 ]

astrbot/api/star/__init__.py

@@ -1,7 +1,8 @@
-from astrbot.core.star import Context, Star, StarTools
-from astrbot.core.star.config import *
 from astrbot.core.star.register import (
     register_star as register,  # 注册插件（Star）
 )
 
-__all__ = ["Context", "Star", "StarTools", "register"]
+from astrbot.core.star import Context, Star, StarTools
+from astrbot.core.star.config import *
+
+__all__ = ["register", "Context", "Star", "StarTools"]

astrbot/api/util/__init__.py

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

astrbot/api/web.py

@@ -1,453 +0,0 @@
-from __future__ import annotations
-
-import contextvars
-from collections.abc import Callable, KeysView
-from contextlib import contextmanager
-from pathlib import Path
-from typing import Any, Generic, TypeVar, overload
-
-from fastapi.encoders import jsonable_encoder
-from fastapi.responses import FileResponse, JSONResponse
-from starlette.datastructures import Headers
-from starlette.datastructures import UploadFile as StarletteUploadFile
-from starlette.responses import StreamingResponse
-
-ValueT = TypeVar("ValueT")
-DefaultT = TypeVar("DefaultT")
-ConvertedT = TypeVar("ConvertedT")
-
-
-class PluginMultiDict(Generic[ValueT]):
-    """Dictionary-like request values that preserves duplicate keys."""
-
-    def __init__(self, pairs: list[tuple[str, ValueT]]) -> None:
-        self._pairs = pairs
-
-    @overload
-    def get(self, key: str) -> ValueT | None: ...
-
-    @overload
-    def get(self, key: str, default: DefaultT) -> ValueT | DefaultT: ...
-
-    @overload
-    def get(
-        self,
-        key: str,
-        default: DefaultT,
-        type: Callable[[ValueT], ConvertedT],
-    ) -> ConvertedT | DefaultT: ...
-
-    def get(self, key: str, default: Any = None, type: Callable | None = None):
-        """Return the last value for a key.
-
-        Args:
-            key: Value key to read.
-            default: Value returned when the key is missing or conversion fails.
-            type: Optional callable used to convert the value.
-
-        Returns:
-            The matching value, converted value, or default.
-        """
-        for item_key, item_value in reversed(self._pairs):
-            if item_key != key:
-                continue
-            if type is None:
-                return item_value
-            try:
-                return type(item_value)
-            except (TypeError, ValueError):
-                return default
-        return default
-
-    def getlist(self, key: str) -> list[ValueT]:
-        """Return all values for a key.
-
-        Args:
-            key: Value key to read.
-
-        Returns:
-            Values in request order.
-        """
-        return [item_value for item_key, item_value in self._pairs if item_key == key]
-
-    def keys(self) -> KeysView[str]:
-        return dict.fromkeys(item_key for item_key, _ in self._pairs).keys()
-
-    def values(self) -> list[ValueT]:
-        return [self[key] for key in self.keys()]
-
-    def items(self) -> list[tuple[str, ValueT]]:
-        return [(key, self[key]) for key in self.keys()]
-
-    def __contains__(self, key: str) -> bool:
-        return any(item_key == key for item_key, _ in self._pairs)
-
-    def __getitem__(self, key: str) -> ValueT:
-        value = self.get(key)
-        if value is None and key not in self:
-            raise KeyError(key)
-        return value
-
-    def __bool__(self) -> bool:
-        return bool(self._pairs)
-
-
-class PluginUploadFile:
-    """Uploaded file wrapper exposed to plugin Web API handlers."""
-
-    def __init__(self, upload_file: StarletteUploadFile) -> None:
-        self._upload_file: StarletteUploadFile = upload_file
-        self.filename: str | None = upload_file.filename
-        self.content_type: str | None = upload_file.content_type
-        self.headers: Headers = upload_file.headers
-        self.content_length: int | None = self._resolve_content_length()
-
-    def _resolve_content_length(self) -> int | None:
-        try:
-            raw = self.headers.get("content-length")
-            return int(raw) if raw else None
-        except (TypeError, ValueError):
-            return None
-
-    async def save(self, destination: str | Path) -> None:
-        """Save the uploaded file to disk.
-
-        Args:
-            destination: Destination file path.
-        """
-        path = Path(destination)
-        try:
-            await self._upload_file.seek(0)
-        except Exception:
-            pass
-        with path.open("wb") as output:
-            while True:
-                chunk = await self._upload_file.read(1024 * 1024)
-                if not chunk:
-                    break
-                output.write(chunk)
-
-    async def read(self, size: int = -1) -> bytes:
-        """Read bytes from the uploaded file.
-
-        Args:
-            size: Maximum number of bytes to read. Use -1 to read all bytes.
-
-        Returns:
-            File bytes.
-        """
-        return await self._upload_file.read(size)
-
-    async def write(self, data: bytes) -> None:
-        """Write bytes to the uploaded file object.
-
-        Args:
-            data: Bytes to write.
-        """
-        await self._upload_file.write(data)
-
-    async def seek(self, offset: int) -> None:
-        """Move the uploaded file cursor.
-
-        Args:
-            offset: Absolute byte offset.
-        """
-        await self._upload_file.seek(offset)
-
-    async def close(self) -> None:
-        """Close the uploaded file."""
-        await self._upload_file.close()
-
-    def __getattr__(self, key: str) -> Any:
-        return getattr(self._upload_file, key)
-
-
-class PluginRequest:
-    """Request object exposed to plugin Web API handlers."""
-
-    def __init__(
-        self,
-        request_: Any,
-        *,
-        path_params: dict[str, Any] | None = None,
-        plugin_name: str | None = None,
-        username: str | None = None,
-    ) -> None:
-        self._request: Any = request_
-        self.method: str = request_.method
-        self.path: str = request_.url.path
-        self.headers: Headers = request_.headers
-        self.cookies: dict[str, str] = request_.cookies
-        self.content_type: str | None = request_.headers.get("content-type")
-        self.client_host: str | None = request_.client.host if request_.client else None
-        self.path_params: dict[str, Any] = path_params or {}
-        self.plugin_name: str | None = plugin_name
-        self.username: str | None = username
-        self.query: PluginMultiDict[str] = PluginMultiDict[str](
-            list(request_.query_params.multi_items())
-        )
-        self._form_cache: PluginMultiDict[str] | None = None
-        self._files_cache: PluginMultiDict[PluginUploadFile] | None = None
-
-    async def body(self) -> bytes:
-        """Read the raw request body.
-
-        Returns:
-            Raw request body bytes.
-        """
-        return await self._request.body()
-
-    async def json(self, default: DefaultT | None = None) -> Any | DefaultT | None:
-        """Read the JSON request body.
-
-        Args:
-            default: Value returned when the request body cannot be parsed as JSON.
-
-        Returns:
-            Parsed JSON data or default.
-        """
-        try:
-            return await self._request.json()
-        except Exception:
-            return default
-
-    async def _load_form_parts(self) -> None:
-        if self._form_cache is not None and self._files_cache is not None:
-            return
-        form = await self._request.form()
-        form_pairs: list[tuple[str, str]] = []
-        file_pairs: list[tuple[str, PluginUploadFile]] = []
-        for key, value in form.multi_items():
-            if isinstance(value, StarletteUploadFile):
-                file_pairs.append((key, PluginUploadFile(value)))
-            else:
-                form_pairs.append((key, value))
-        self._form_cache = PluginMultiDict(form_pairs)
-        self._files_cache = PluginMultiDict(file_pairs)
-
-    async def form(self) -> PluginMultiDict[str]:
-        """Read form fields from a multipart or form-urlencoded request.
-
-        Returns:
-            Form values without uploaded files.
-        """
-        await self._load_form_parts()
-        assert self._form_cache is not None
-        return self._form_cache
-
-    async def files(self) -> PluginMultiDict[PluginUploadFile]:
-        """Read uploaded files from a multipart request.
-
-        Returns:
-            Uploaded file values.
-        """
-        await self._load_form_parts()
-        assert self._files_cache is not None
-        return self._files_cache
-
-
-_request_var: contextvars.ContextVar[PluginRequest] = contextvars.ContextVar(
-    "astrbot_plugin_web_request"
-)
-
-
-class PluginRequestProxy:
-    """Typed proxy for the request bound to the current plugin Web handler."""
-
-    def _get_current(self) -> PluginRequest:
-        try:
-            return _request_var.get()
-        except LookupError as exc:
-            raise RuntimeError(
-                "astrbot.api.web.request is only available inside a plugin Web API "
-                "handler."
-            ) from exc
-
-    @property
-    def method(self) -> str:
-        return self._get_current().method
-
-    @property
-    def path(self) -> str:
-        return self._get_current().path
-
-    @property
-    def headers(self) -> Headers:
-        return self._get_current().headers
-
-    @property
-    def cookies(self) -> dict[str, str]:
-        return self._get_current().cookies
-
-    @property
-    def content_type(self) -> str | None:
-        return self._get_current().content_type
-
-    @property
-    def client_host(self) -> str | None:
-        return self._get_current().client_host
-
-    @property
-    def path_params(self) -> dict[str, Any]:
-        return self._get_current().path_params
-
-    @property
-    def plugin_name(self) -> str | None:
-        return self._get_current().plugin_name
-
-    @property
-    def username(self) -> str | None:
-        return self._get_current().username
-
-    @property
-    def query(self) -> PluginMultiDict[str]:
-        return self._get_current().query
-
-    async def body(self) -> bytes:
-        return await self._get_current().body()
-
-    async def json(self, default: DefaultT | None = None) -> Any | DefaultT | None:
-        return await self._get_current().json(default=default)
-
-    async def form(self) -> PluginMultiDict[str]:
-        return await self._get_current().form()
-
-    async def files(self) -> PluginMultiDict[PluginUploadFile]:
-        return await self._get_current().files()
-
-    def __getattr__(self, key: str) -> Any:
-        return getattr(self._get_current(), key)
-
-
-request: PluginRequestProxy = PluginRequestProxy()
-
-
-@contextmanager
-def bind_request_context(request_: PluginRequest):
-    """Bind a plugin Web request for the current async context.
-
-    Args:
-        request_: Request object exposed through the module-level request proxy.
-
-    Yields:
-        The bound request object.
-    """
-    token = _request_var.set(request_)
-    try:
-        yield request_
-    finally:
-        _request_var.reset(token)
-
-
-def json_response(
-    data: Any = None,
-    *,
-    status_code: int = 200,
-    headers: dict[str, str] | None = None,
-) -> JSONResponse:
-    """Build a JSON response for plugin Web API handlers.
-
-    Args:
-        data: JSON-serializable response body.
-        status_code: HTTP status code.
-        headers: Optional response headers.
-
-    Returns:
-        A Starlette/FastAPI JSON response.
-    """
-    return JSONResponse(
-        jsonable_encoder({} if data is None else data),
-        status_code=status_code,
-        headers=headers,
-    )
-
-
-def error_response(
-    message: str,
-    *,
-    status_code: int = 400,
-    data: Any = None,
-    headers: dict[str, str] | None = None,
-) -> JSONResponse:
-    """Build a standard error response for plugin bridge calls.
-
-    Args:
-        message: Public error message.
-        status_code: HTTP status code.
-        data: Optional error details that are safe to expose.
-        headers: Optional response headers.
-
-    Returns:
-        A JSON response with the AstrBot error envelope.
-    """
-    return json_response(
-        {"status": "error", "message": message, "data": data},
-        status_code=status_code,
-        headers=headers,
-    )
-
-
-def file_response(
-    path: str | Path,
-    *,
-    filename: str | None = None,
-    content_type: str | None = None,
-    headers: dict[str, str] | None = None,
-) -> FileResponse:
-    """Build a file download response for plugin Web API handlers.
-
-    Args:
-        path: File path to send.
-        filename: Optional download filename.
-        content_type: Optional response media type.
-        headers: Optional response headers.
-
-    Returns:
-        A Starlette/FastAPI file response.
-    """
-    return FileResponse(
-        path,
-        filename=filename,
-        media_type=content_type,
-        headers=headers,
-    )
-
-
-def stream_response(
-    content: Any,
-    *,
-    content_type: str = "text/event-stream",
-    status_code: int = 200,
-    headers: dict[str, str] | None = None,
-) -> StreamingResponse:
-    """Build a streaming response for plugin Web API handlers.
-
-    Args:
-        content: Sync or async iterable that yields response chunks.
-        content_type: Response media type.
-        status_code: HTTP status code.
-        headers: Optional response headers.
-
-    Returns:
-        A Starlette/FastAPI streaming response.
-    """
-    return StreamingResponse(
-        content,
-        media_type=content_type,
-        status_code=status_code,
-        headers=headers,
-    )
-
-
-__all__ = [
-    "PluginMultiDict",
-    "PluginRequest",
-    "PluginRequestProxy",
-    "PluginUploadFile",
-    "bind_request_context",
-    "error_response",
-    "file_response",
-    "json_response",
-    "request",
-    "stream_response",
-]

astrbot/builtin_stars/astrbot/.astrbot-plugin/i18n/en-US.json

@@ -1,6 +0,0 @@
-{
-  "metadata": {
-    "display_name": "AstrBot",
-    "desc": "AstrBot's internal plugin, providing some basic capabilities."
-  }
-}

astrbot/builtin_stars/astrbot/.astrbot-plugin/i18n/zh-CN.json

@@ -1,6 +0,0 @@
-{
-  "metadata": {
-    "display_name": "AstrBot",
-    "desc": "AstrBot 的内部插件，提供一些基础能力。"
-  }
-}

astrbot/builtin_stars/astrbot/group_chat_context.py

@@ -1,302 +0,0 @@
-import asyncio
-import datetime
-import random
-import uuid
-from collections import defaultdict, deque
-
-from astrbot import logger
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent
-from astrbot.api.message_components import (
-    At,
-    AtAll,
-    Face,
-    File,
-    Forward,
-    Image,
-    Plain,
-    Record,
-    Reply,
-    Video,
-)
-from astrbot.api.platform import MessageType
-from astrbot.api.provider import Provider, ProviderRequest
-from astrbot.core.agent.message import TextPart
-from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
-
-"""
-Group chat context awareness.
-"""
-
-GROUP_HISTORY_HEADER = (
-    "<system_reminder>"
-    "You are in a group chat. "
-    "Belows are group chat context after your last reply:\n"
-    "--- BEGIN CONTEXT---\n"
-)
-GROUP_HISTORY_FOOTER = "\n--- END CONTEXT ---\n</system_reminder>"
-DEFAULT_GROUP_MESSAGE_MAX_CNT = 300
-
-
-class GroupChatContext:
-    def __init__(self, acm: AstrBotConfigManager, context: star.Context) -> None:
-        self.acm = acm
-        self.context = context
-        self._locks: dict[str, asyncio.Lock] = {}
-        self.raw_records: dict[str, deque[str]] = defaultdict(deque)
-        self._record_ids: dict[str, deque[str]] = defaultdict(deque)
-
-    def _get_lock(self, umo: str) -> asyncio.Lock:
-        lock = self._locks.get(umo)
-        if lock is None:
-            lock = asyncio.Lock()
-            self._locks[umo] = lock
-        return lock
-
-    def cfg(self, event: AstrMessageEvent):
-        cfg = self.context.get_config(umo=event.unified_msg_origin)
-        group_context_cfg = cfg["provider_ltm_settings"]
-        image_caption_prompt = cfg["provider_settings"]["image_caption_prompt"]
-        image_caption_provider_id = group_context_cfg.get("image_caption_provider_id")
-        image_caption = group_context_cfg["image_caption"] and bool(
-            image_caption_provider_id
-        )
-        active_reply = group_context_cfg["active_reply"]
-        enable_active_reply = active_reply.get("enable", False)
-        ar_method = active_reply["method"]
-        ar_possibility = active_reply["possibility_reply"]
-        ar_prompt = active_reply.get("prompt", "")
-        ar_whitelist = active_reply.get("whitelist", [])
-        return {
-            "group_message_max_cnt": _positive_int(
-                group_context_cfg.get(
-                    "group_message_max_cnt",
-                    DEFAULT_GROUP_MESSAGE_MAX_CNT,
-                ),
-                DEFAULT_GROUP_MESSAGE_MAX_CNT,
-            ),
-            "image_caption": image_caption,
-            "image_caption_prompt": image_caption_prompt,
-            "image_caption_provider_id": image_caption_provider_id,
-            "enable_active_reply": enable_active_reply,
-            "ar_method": ar_method,
-            "ar_possibility": ar_possibility,
-            "ar_prompt": ar_prompt,
-            "ar_whitelist": ar_whitelist,
-        }
-
-    async def get_image_caption(
-        self,
-        image_url: str,
-        image_caption_provider_id: str,
-        image_caption_prompt: str,
-    ) -> str:
-        if not image_caption_provider_id:
-            provider = self.context.get_using_provider()
-        else:
-            provider = self.context.get_provider_by_id(image_caption_provider_id)
-            if not provider:
-                raise Exception(f"没有找到 ID 为 {image_caption_provider_id} 的提供商")
-        if not isinstance(provider, Provider):
-            raise Exception(f"提供商类型错误({type(provider)})，无法获取图片描述")
-        response = await provider.text_chat(
-            prompt=image_caption_prompt,
-            session_id=uuid.uuid4().hex,
-            image_urls=[image_url],
-            persist=False,
-        )
-        return response.completion_text
-
-    async def need_active_reply(self, event: AstrMessageEvent) -> bool:
-        cfg = self.cfg(event)
-        if not cfg["enable_active_reply"]:
-            return False
-        if event.get_message_type() != MessageType.GROUP_MESSAGE:
-            return False
-        if event.is_at_or_wake_command:
-            return False
-        if cfg["ar_whitelist"] and (
-            event.unified_msg_origin not in cfg["ar_whitelist"]
-            and (
-                event.get_group_id() and event.get_group_id() not in cfg["ar_whitelist"]
-            )
-        ):
-            return False
-        match cfg["ar_method"]:
-            case "possibility_reply":
-                return random.random() < cfg["ar_possibility"]
-        return False
-
-    async def remove_session(self, event: AstrMessageEvent) -> int:
-        umo = event.unified_msg_origin
-        lock = self._get_lock(umo)
-        async with lock:
-            cnt = len(self.raw_records.get(umo, deque()))
-            self.raw_records.pop(umo, None)
-            self._record_ids.pop(umo, None)
-        self._locks.pop(umo, None)
-        return cnt
-
-    async def handle_message(self, event: AstrMessageEvent) -> None:
-        if event.get_message_type() != MessageType.GROUP_MESSAGE:
-            return
-
-        umo = event.unified_msg_origin
-        cfg = self.cfg(event)
-        final_message = await self._format_message(event, cfg)
-
-        async with self._get_lock(umo):
-            records = self.raw_records[umo]
-            record_ids = self._record_ids[umo]
-            record_id = uuid.uuid4().hex
-            records.append(final_message)
-            record_ids.append(record_id)
-            _trim_left(records, cfg["group_message_max_cnt"], record_ids)
-            event.set_extra("_group_context_record_id", record_id)
-            event.set_extra("_group_context_raw_idx", len(records) - 1)
-
-        logger.debug(f"group_chat_context | {umo} | {final_message}")
-
-    async def on_req_llm(self, event: AstrMessageEvent, req: ProviderRequest) -> None:
-        umo = event.unified_msg_origin
-        record_id = event.get_extra("_group_context_record_id", None)
-        prompt_idx = event.get_extra("_group_context_raw_idx", -1)
-        if not isinstance(record_id, str) and (
-            not isinstance(prompt_idx, int) or prompt_idx < 0
-        ):
-            return
-
-        async with self._get_lock(umo):
-            records = self.raw_records.get(umo)
-            if not records:
-                return
-
-            raw_list = list(records)
-            id_list = list(self._record_ids.get(umo, deque()))
-            if isinstance(record_id, str) and record_id in id_list:
-                prompt_idx = id_list.index(record_id)
-
-            if prompt_idx >= len(raw_list):
-                return
-
-            records_to_inject = raw_list[:prompt_idx]
-            remaining = raw_list[prompt_idx + 1 :]
-            remaining_ids = id_list[prompt_idx + 1 :] if id_list else []
-            records.clear()
-            records.extend(remaining)
-            if id_list:
-                record_ids = self._record_ids[umo]
-                record_ids.clear()
-                record_ids.extend(remaining_ids)
-
-        if records_to_inject:
-            req.extra_user_content_parts.append(
-                TextPart(text=_format_group_history_block(records_to_inject))
-            )
-
-    async def _format_message(self, event: AstrMessageEvent, cfg: dict) -> str:
-        datetime_str = datetime.datetime.now().strftime("%H:%M:%S")
-        parts = [f"[{event.message_obj.sender.nickname}/{datetime_str}]: "]
-
-        for comp in event.get_messages():
-            if isinstance(comp, Plain):
-                parts.append(f" {comp.text}")
-            elif isinstance(comp, Image):
-                if cfg["image_caption"]:
-                    try:
-                        url = comp.url if comp.url else comp.file
-                        if not url:
-                            raise Exception("图片 URL 为空")
-                        caption = await self.get_image_caption(
-                            url,
-                            cfg["image_caption_provider_id"],
-                            cfg["image_caption_prompt"],
-                        )
-                        parts.append(f" [Image: {caption}]")
-                    except Exception as e:
-                        logger.error(f"获取图片描述失败: {e}")
-                else:
-                    parts.append(" [Image]")
-            elif isinstance(comp, At):
-                is_at_self = str(comp.qq) in (
-                    event.get_self_id(),
-                    "all",
-                )
-                if is_at_self:
-                    parts.insert(1, "⚠️[DIRECTED AT YOU] ")
-                parts.append(f" [At: {comp.name}]")
-            elif isinstance(comp, Reply):
-                if comp.message_str:
-                    parts.append(
-                        f" [Quote({comp.sender_nickname}: {_truncate_reply_text(comp.message_str)})]"
-                    )
-                elif comp.chain:
-                    chain_desc = _describe_chain(comp.chain)
-                    parts.append(f" [Quote({comp.sender_nickname}: {chain_desc})]")
-                else:
-                    parts.append(" [Quote]")
-
-        return "".join(parts)
-
-
-_MAX_REPLY_TEXT_LENGTH = 200
-
-
-def _describe_chain(chain: list) -> str:
-    """Summarize message chain content for quoted reply display."""
-    desc = []
-    for c in chain:
-        if isinstance(c, Plain) and getattr(c, "text", None):
-            desc.append(c.text)
-        elif isinstance(c, Image):
-            desc.append("[Image]")
-        elif isinstance(c, At):
-            name = getattr(c, "name", "") or getattr(c, "qq", "")
-            desc.append(f"[At: {name}]")
-        elif isinstance(c, Record):
-            desc.append("[Voice]")
-        elif isinstance(c, Video):
-            desc.append("[Video]")
-        elif isinstance(c, File):
-            desc.append(f"[File: {getattr(c, 'name', '') or ''}]")
-        elif isinstance(c, Forward):
-            desc.append("[Forward]")
-        elif isinstance(c, AtAll):
-            desc.append("[At: All]")
-        elif isinstance(c, Face):
-            desc.append(f"[Sticker: {getattr(c, 'id', '')}]")
-        elif isinstance(c, Reply):
-            desc.append("[Quote]")
-        else:
-            desc.append(f"[{c.__class__.__name__}]")
-    return "".join(desc) or "[Unknown]"
-
-
-def _truncate_reply_text(text: str) -> str:
-    """Truncate overly long quoted reply text."""
-    if len(text) <= _MAX_REPLY_TEXT_LENGTH:
-        return text
-    return text[:_MAX_REPLY_TEXT_LENGTH] + "..."
-
-
-def _positive_int(value, fallback: int) -> int:
-    try:
-        parsed = int(value)
-    except (TypeError, ValueError):
-        return fallback
-    return parsed if parsed > 0 else fallback
-
-
-def _trim_left(
-    records: deque[str],
-    max_records: int,
-    record_ids: deque[str] | None = None,
-) -> None:
-    while len(records) > max_records:
-        records.popleft()
-        if record_ids:
-            record_ids.popleft()
-
-
-def _format_group_history_block(records: list[str]) -> str:
-    return GROUP_HISTORY_HEADER + "\n".join(records) + GROUP_HISTORY_FOOTER

astrbot/builtin_stars/astrbot/main.py

@@ -1,245 +0,0 @@
-import copy
-import traceback
-from collections.abc import Iterable
-from sys import maxsize
-
-import astrbot.api.message_components as Comp
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent, filter
-from astrbot.api.message_components import Image, Plain
-from astrbot.api.provider import ProviderRequest
-from astrbot.core import logger
-from astrbot.core.utils.session_waiter import (
-    FILTERS,
-    USER_SESSIONS,
-    SessionController,
-    SessionWaiter,
-    session_waiter,
-)
-
-from .group_chat_context import GroupChatContext
-
-
-def _iter_message_components(event: AstrMessageEvent):
-    messages = getattr(getattr(event, "message_obj", None), "message", None)
-    if not isinstance(messages, Iterable) or isinstance(messages, (str, bytes)):
-        return ()
-    return tuple(messages)
-
-
-class Main(star.Star):
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-        self.group_chat_context = None
-        try:
-            self.group_chat_context = GroupChatContext(
-                self.context.astrbot_config_mgr,
-                self.context,
-            )
-        except BaseException as e:
-            logger.error(f"group chat context init failed: {e}")
-
-    @filter.event_message_type(filter.EventMessageType.ALL, priority=maxsize)
-    async def handle_session_control_agent(self, event: AstrMessageEvent) -> None:
-        """会话控制代理"""
-        for session_filter in FILTERS:
-            session_id = session_filter.filter(event)
-            if session_id in USER_SESSIONS:
-                await SessionWaiter.trigger(session_id, event)
-                event.stop_event()
-
-    @filter.event_message_type(filter.EventMessageType.ALL, priority=maxsize - 1)
-    async def handle_empty_mention(self, event: AstrMessageEvent):
-        """处理只有一个 @ 或仅有唤醒前缀的消息，并等待用户下一条内容。"""
-        try:
-            messages = event.get_messages()
-            cfg = self.context.get_config(umo=event.unified_msg_origin)
-            p_settings = cfg["platform_settings"]
-            wake_prefix = cfg.get("wake_prefix", [])
-            if len(messages) != 1:
-                return
-
-            is_empty_mention = (
-                isinstance(messages[0], Comp.At)
-                and str(messages[0].qq) == str(event.get_self_id())
-                and p_settings.get("empty_mention_waiting", True)
-            )
-            is_wake_prefix_only = (
-                isinstance(messages[0], Comp.Plain)
-                and messages[0].text.strip() in wake_prefix
-            )
-
-            if not (is_empty_mention or is_wake_prefix_only):
-                return
-
-            if p_settings.get("empty_mention_waiting_need_reply", True):
-                try:
-                    curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
-                        event.unified_msg_origin,
-                    )
-                    conversation = None
-
-                    if curr_cid:
-                        conversation = (
-                            await self.context.conversation_manager.get_conversation(
-                                event.unified_msg_origin,
-                                curr_cid,
-                            )
-                        )
-                    else:
-                        curr_cid = (
-                            await self.context.conversation_manager.new_conversation(
-                                event.unified_msg_origin,
-                                platform_id=event.get_platform_id(),
-                            )
-                        )
-
-                    yield event.request_llm(
-                        prompt=(
-                            "注意，你正在社交媒体上中与用户进行聊天，用户只是通过@来唤醒你，但并未在这条消息中输入内容，他可能会在接下来一条发送他想发送的内容。"
-                            "你友好地询问用户想要聊些什么或者需要什么帮助，回复要符合人设，不要太过机械化。"
-                            "请注意，你仅需要输出要回复用户的内容，不要输出其他任何东西"
-                        ),
-                        session_id=curr_cid,
-                        contexts=[],
-                        system_prompt="",
-                        conversation=conversation,
-                    )
-                except Exception as e:
-                    logger.error(f"LLM response failed: {e!s}")
-                    yield event.plain_result("想要问什么呢？😄")
-
-            @session_waiter(60)
-            async def empty_mention_waiter(
-                controller: SessionController,
-                event: AstrMessageEvent,
-            ) -> None:
-                if not event.message_str or not event.message_str.strip():
-                    return
-                event.message_obj.message.insert(
-                    0,
-                    Comp.At(qq=event.get_self_id(), name=event.get_self_id()),
-                )
-                new_event = copy.copy(event)
-                self.context.get_event_queue().put_nowait(new_event)
-                event.stop_event()
-                controller.stop()
-
-            try:
-                await empty_mention_waiter(event)
-            except TimeoutError:
-                pass
-            except Exception as e:
-                yield event.plain_result("发生错误，请联系管理员: " + str(e))
-            finally:
-                event.stop_event()
-        except Exception as e:
-            logger.error("handle_empty_mention error: " + str(e))
-
-    def group_context_enabled(self, event: AstrMessageEvent):
-        group_context_settings = self.context.get_config(umo=event.unified_msg_origin)[
-            "provider_ltm_settings"
-        ]
-        return (
-            group_context_settings["group_icl_enable"]
-            or group_context_settings["active_reply"]["enable"]
-        )
-
-    @filter.platform_adapter_type(filter.PlatformAdapterType.ALL)
-    async def on_message(self, event: AstrMessageEvent):
-        """群聊上下文感知"""
-        message_components = _iter_message_components(event)
-        has_image_or_plain = False
-        for comp in message_components:
-            if isinstance(comp, Plain) or isinstance(comp, Image):
-                has_image_or_plain = True
-                break
-
-        group_context_enabled = False
-        if self.group_chat_context:
-            try:
-                group_context_enabled = self.group_context_enabled(event)
-            except BaseException as e:
-                logger.error(f"group chat context: {e}")
-
-        if group_context_enabled and self.group_chat_context and has_image_or_plain:
-            need_active = await self.group_chat_context.need_active_reply(event)
-
-            group_icl_enable = self.context.get_config(umo=event.unified_msg_origin)[
-                "provider_ltm_settings"
-            ]["group_icl_enable"]
-            if group_icl_enable:
-                # Skip recording if a command handler matched (e.g. /reset,
-                # /help, /new). Slash commands are bot instructions, not group
-                # chat context that should be injected into future LLM requests.
-                if not event.get_extra("handlers_parsed_params", {}):
-                    try:
-                        await self.group_chat_context.handle_message(event)
-                    except BaseException as e:
-                        logger.error(e)
-
-            if need_active:
-                provider = self.context.get_using_provider(event.unified_msg_origin)
-                if not provider:
-                    logger.error("未找到任何 LLM 提供商。请先配置。无法主动回复")
-                    return
-                try:
-                    session_curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
-                        event.unified_msg_origin,
-                    )
-
-                    if not session_curr_cid:
-                        logger.error(
-                            "当前未处于对话状态，无法主动回复，请确保 平台设置->会话隔离(unique_session) 未开启，并使用 /new 创建一个会话。",
-                        )
-                        return
-
-                    conv = await self.context.conversation_manager.get_conversation(
-                        event.unified_msg_origin,
-                        session_curr_cid,
-                    )
-
-                    if not conv:
-                        logger.error("未找到对话，无法主动回复")
-                        return
-
-                    prompt = event.message_str
-                    image_urls = []
-                    for comp in message_components:
-                        if isinstance(comp, Image):
-                            try:
-                                image_urls.append(await comp.convert_to_file_path())
-                            except Exception:
-                                logger.exception("主动回复处理图片失败")
-
-                    yield event.request_llm(
-                        prompt=prompt,
-                        session_id=event.session_id,
-                        image_urls=image_urls,
-                        conversation=conv,
-                    )
-                except BaseException as e:
-                    logger.error(traceback.format_exc())
-                    logger.error(f"主动回复失败: {e}")
-
-    @filter.on_llm_request()
-    async def decorate_llm_req(
-        self, event: AstrMessageEvent, req: ProviderRequest
-    ) -> None:
-        """在请求 LLM 前注入人格信息、Identifier、时间、回复内容等 System Prompt"""
-        if self.group_chat_context and self.group_context_enabled(event):
-            try:
-                await self.group_chat_context.on_req_llm(event, req)
-            except BaseException as e:
-                logger.error(f"group chat context: {e}")
-
-    @filter.after_message_sent()
-    async def after_message_sent(self, event: AstrMessageEvent) -> None:
-        """消息发送后处理"""
-        if self.group_chat_context and self.group_context_enabled(event):
-            try:
-                clean_session = event.get_extra("_clean_group_context_session", False)
-                if clean_session:
-                    await self.group_chat_context.remove_session(event)
-            except Exception as e:
-                logger.error(f"group chat context: {e}")

astrbot/builtin_stars/astrbot/metadata.yaml

@@ -1,4 +0,0 @@
-name: astrbot
-desc: AstrBot's internal plugin, providing some basic capabilities.
-author: AstrBot Team
-version: 4.1.0

astrbot/builtin_stars/builtin_commands/.astrbot-plugin/i18n/en-US.json

@@ -1,6 +0,0 @@
-{
-  "metadata": {
-    "display_name": "Built-in Commands",
-    "desc": "AstrBot's internal plugin, providing built-in commands such as /reset, /help, and /sid."
-  }
-}

astrbot/builtin_stars/builtin_commands/.astrbot-plugin/i18n/zh-CN.json

@@ -1,6 +0,0 @@
-{
-  "metadata": {
-    "display_name": "内置指令",
-    "desc": "AstrBot 自带插件，提供 /reset、/help、/sid 等内置指令。"
-  }
-}

astrbot/builtin_stars/builtin_commands/commands/admin.py

@@ -1,15 +0,0 @@
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent, MessageChain
-from astrbot.core.config.default import VERSION
-from astrbot.core.utils.io import download_dashboard
-
-
-class AdminCommands:
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-
-    async def update_dashboard(self, event: AstrMessageEvent) -> None:
-        """更新管理面板"""
-        await event.send(MessageChain().message("⏳ Updating dashboard..."))
-        await download_dashboard(version=f"v{VERSION}", latest=False)
-        await event.send(MessageChain().message("✅ Dashboard updated successfully."))

astrbot/builtin_stars/builtin_commands/commands/conversation.py

@@ -1,311 +0,0 @@
-from sqlalchemy import case, func, select
-from sqlmodel import col
-
-from astrbot.api import sp, star
-from astrbot.api.event import AstrMessageEvent, MessageEventResult
-from astrbot.core import logger
-from astrbot.core.agent.runners.deerflow.constants import (
-    DEERFLOW_AGENT_RUNNER_PROVIDER_ID_KEY,
-    DEERFLOW_PROVIDER_TYPE,
-    DEERFLOW_THREAD_ID_KEY,
-)
-from astrbot.core.agent.runners.deerflow.deerflow_api_client import DeerFlowAPIClient
-from astrbot.core.db.po import ProviderStat
-from astrbot.core.utils.active_event_registry import active_event_registry
-
-from .utils.rst_scene import RstScene
-
-THIRD_PARTY_AGENT_RUNNER_KEY = {
-    "dify": "dify_conversation_id",
-    "coze": "coze_conversation_id",
-    "dashscope": "dashscope_conversation_id",
-    DEERFLOW_PROVIDER_TYPE: DEERFLOW_THREAD_ID_KEY,
-}
-THIRD_PARTY_AGENT_RUNNER_STR = ", ".join(THIRD_PARTY_AGENT_RUNNER_KEY.keys())
-
-
-async def _cleanup_deerflow_thread_if_present(
-    context: star.Context,
-    umo: str,
-) -> None:
-    try:
-        thread_id = await sp.get_async(
-            scope="umo",
-            scope_id=umo,
-            key=DEERFLOW_THREAD_ID_KEY,
-            default="",
-        )
-        if not thread_id:
-            return
-
-        cfg = context.get_config(umo=umo)
-        provider_id = cfg["provider_settings"].get(
-            DEERFLOW_AGENT_RUNNER_PROVIDER_ID_KEY,
-            "",
-        )
-        if not provider_id:
-            return
-
-        merged_provider_config = context.provider_manager.get_provider_config_by_id(
-            provider_id,
-            merged=True,
-        )
-        if not merged_provider_config:
-            logger.warning(
-                "Failed to resolve DeerFlow provider config for remote thread cleanup: provider_id=%s",
-                provider_id,
-            )
-            return
-
-        client = DeerFlowAPIClient(
-            api_base=merged_provider_config.get(
-                "deerflow_api_base",
-                "http://127.0.0.1:2026",
-            ),
-            api_key=merged_provider_config.get("deerflow_api_key", ""),
-            auth_header=merged_provider_config.get("deerflow_auth_header", ""),
-            proxy=merged_provider_config.get("proxy", ""),
-        )
-        try:
-            await client.delete_thread(thread_id)
-        finally:
-            try:
-                await client.close()
-            except Exception as e:
-                logger.warning(
-                    "Failed to close DeerFlow API client after thread cleanup: %s",
-                    e,
-                )
-    except Exception as e:
-        logger.warning(
-            "Failed to clean up DeerFlow thread for session %s: %s",
-            umo,
-            e,
-        )
-
-
-async def _clear_third_party_agent_runner_state(
-    context: star.Context,
-    umo: str,
-    agent_runner_type: str,
-) -> None:
-    session_key = THIRD_PARTY_AGENT_RUNNER_KEY.get(agent_runner_type)
-    if not session_key:
-        return
-
-    if agent_runner_type == DEERFLOW_PROVIDER_TYPE:
-        await _cleanup_deerflow_thread_if_present(context, umo)
-
-    await sp.remove_async(
-        scope="umo",
-        scope_id=umo,
-        key=session_key,
-    )
-
-
-class ConversationCommands:
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-
-    async def _get_current_persona_id(self, session_id):
-        curr = await self.context.conversation_manager.get_curr_conversation_id(
-            session_id,
-        )
-        if not curr:
-            return None
-        conv = await self.context.conversation_manager.get_conversation(
-            session_id,
-            curr,
-        )
-        if not conv:
-            return None
-        return conv.persona_id
-
-    async def reset(self, message: AstrMessageEvent) -> None:
-        """重置 LLM 会话"""
-        umo = message.unified_msg_origin
-        cfg = self.context.get_config(umo=message.unified_msg_origin)
-        is_unique_session = cfg["platform_settings"]["unique_session"]
-        is_group = bool(message.get_group_id())
-
-        scene = RstScene.get_scene(is_group, is_unique_session)
-
-        alter_cmd_cfg = await sp.get_async("global", "global", "alter_cmd", {})
-        plugin_config = alter_cmd_cfg.get("astrbot", {})
-        reset_cfg = plugin_config.get("reset", {})
-
-        required_perm = reset_cfg.get(
-            scene.key,
-            "admin" if is_group and not is_unique_session else "member",
-        )
-
-        if required_perm == "admin" and message.role != "admin":
-            message.set_result(
-                MessageEventResult().message(
-                    f"Reset command requires admin permission in {scene.name} scenario, "
-                    f"you (ID {message.get_sender_id()}) are not admin, cannot perform this action.",
-                ),
-            )
-            return
-
-        agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
-        if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
-            active_event_registry.stop_all(umo, exclude=message)
-            await _clear_third_party_agent_runner_state(
-                self.context,
-                umo,
-                agent_runner_type,
-            )
-            message.set_result(
-                MessageEventResult().message("✅ Conversation reset successfully.")
-            )
-            return
-
-        if not self.context.get_using_provider(umo):
-            message.set_result(
-                MessageEventResult().message(
-                    "😕 Cannot find any LLM provider. Configure one first."
-                ),
-            )
-            return
-
-        cid = await self.context.conversation_manager.get_curr_conversation_id(umo)
-
-        if not cid:
-            message.set_result(
-                MessageEventResult().message(
-                    "😕 You are not in a conversation. Use /new to create one.",
-                ),
-            )
-            return
-
-        active_event_registry.stop_all(umo, exclude=message)
-
-        await self.context.conversation_manager.update_conversation(
-            umo,
-            cid,
-            [],
-        )
-
-        ret = "✅ Conversation reset successfully."
-
-        message.set_extra("_clean_group_context_session", True)
-
-        message.set_result(MessageEventResult().message(ret))
-
-    async def stop(self, message: AstrMessageEvent) -> None:
-        """停止当前会话正在运行的 Agent"""
-        cfg = self.context.get_config(umo=message.unified_msg_origin)
-        agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
-        umo = message.unified_msg_origin
-
-        if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
-            stopped_count = active_event_registry.stop_all(umo, exclude=message)
-        else:
-            stopped_count = active_event_registry.request_agent_stop_all(
-                umo,
-                exclude=message,
-            )
-
-        if stopped_count > 0:
-            message.set_result(
-                MessageEventResult().message(
-                    f"✅ Requested to stop {stopped_count} running tasks."
-                )
-            )
-            return
-
-        message.set_result(
-            MessageEventResult().message("✅ No running tasks in the current session.")
-        )
-
-    async def new_conv(self, message: AstrMessageEvent) -> None:
-        """创建新对话"""
-        cfg = self.context.get_config(umo=message.unified_msg_origin)
-        agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
-        if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
-            active_event_registry.stop_all(message.unified_msg_origin, exclude=message)
-            await _clear_third_party_agent_runner_state(
-                self.context,
-                message.unified_msg_origin,
-                agent_runner_type,
-            )
-            message.set_result(
-                MessageEventResult().message("✅ New conversation created.")
-            )
-            return
-
-        active_event_registry.stop_all(message.unified_msg_origin, exclude=message)
-        cpersona = await self._get_current_persona_id(message.unified_msg_origin)
-        cid = await self.context.conversation_manager.new_conversation(
-            message.unified_msg_origin,
-            message.get_platform_id(),
-            persona_id=cpersona,
-        )
-
-        message.set_extra("_clean_group_context_session", True)
-
-        message.set_result(
-            MessageEventResult().message(
-                f"✅ Switched to new conversation: {cid[:4]}。"
-            ),
-        )
-
-    async def stats(self, message: AstrMessageEvent) -> None:
-        """Show token usage statistics for the current conversation."""
-        umo = message.unified_msg_origin
-        cid = await self.context.conversation_manager.get_curr_conversation_id(umo)
-
-        if not cid:
-            message.set_result(
-                MessageEventResult().message(
-                    "❌ You are not in a conversation. Use /new to create one."
-                ),
-            )
-            return
-
-        db = self.context.get_db()
-        async with db.get_db() as session:
-            result = await session.execute(
-                select(
-                    func.count(case((col(ProviderStat.id).is_not(None), 1))).label(
-                        "record_count",
-                    ),
-                    func.coalesce(func.sum(ProviderStat.token_input_other), 0).label(
-                        "total_input_other",
-                    ),
-                    func.coalesce(func.sum(ProviderStat.token_input_cached), 0).label(
-                        "total_input_cached",
-                    ),
-                    func.coalesce(func.sum(ProviderStat.token_output), 0).label(
-                        "total_output",
-                    ),
-                ).where(
-                    col(ProviderStat.agent_type) == "internal",
-                    col(ProviderStat.conversation_id) == cid,
-                )
-            )
-            stats = result.one()
-
-        if stats.record_count == 0:
-            message.set_result(
-                MessageEventResult().message(
-                    "📊 No stats available for this conversation yet."
-                ),
-            )
-            return
-
-        total_input_other = stats.total_input_other
-        total_input_cached = stats.total_input_cached
-        total_output = stats.total_output
-        total_tokens = total_input_other + total_input_cached + total_output
-
-        ret = (
-            f"📊 Conversation Token usage (ID: {cid[:8]}...)\n"
-            f"Total:          {total_tokens:,}\n"
-            f"Input (cached): {total_input_cached:,}\n"
-            f"Input (other):  {total_input_other:,}\n"
-            f"Output:         {total_output:,}\n"
-        )
-
-        message.set_result(MessageEventResult().message(ret))

astrbot/builtin_stars/builtin_commands/commands/help.py

@@ -1,91 +0,0 @@
-import aiohttp
-
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent, MessageEventResult
-from astrbot.core.config.default import VERSION
-from astrbot.core.star import command_management
-from astrbot.core.utils.io import get_dashboard_version
-
-
-class HelpCommand:
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-
-    async def _query_astrbot_notice(self):
-        try:
-            async with aiohttp.ClientSession(trust_env=True) as session:
-                async with session.get(
-                    "https://astrbot.app/notice.json",
-                    timeout=2,
-                ) as resp:
-                    return (await resp.json())["notice"]
-        except BaseException:
-            return ""
-
-    async def _build_reserved_command_lines(self) -> list[str]:
-        """
-        使用实时指令配置生成内置指令清单，确保重命名/禁用后与实际生效状态保持一致。
-        """
-        try:
-            commands = await command_management.list_commands()
-        except BaseException:
-            return []
-
-        lines: list[str] = []
-
-        def walk(items: list[dict], indent: int = 0) -> None:
-            for item in items:
-                if not item.get("reserved") or not item.get("enabled"):
-                    continue
-                # 仅展示顶级指令或指令组
-                if item.get("type") == "sub_command":
-                    continue
-                if item.get("parent_signature"):
-                    continue
-
-                effective = (
-                    item.get("effective_command")
-                    or item.get("original_command")
-                    or item.get("handler_name")
-                )
-                if not effective or effective in [
-                    "set",
-                    "unset",
-                    "help",
-                    "dashboard_update",
-                ]:
-                    continue
-
-                description = item.get("description") or ""
-                desc_text = f" - {description}" if description else ""
-                indent_prefix = "  " * indent
-                lines.append(f"{indent_prefix}/{effective}{desc_text}")
-
-        walk(commands)
-        return lines
-
-    async def help(self, event: AstrMessageEvent) -> None:
-        """查看帮助"""
-        notice = ""
-        try:
-            notice = await self._query_astrbot_notice()
-        except BaseException:
-            pass
-
-        dashboard_version = await get_dashboard_version()
-        command_lines = await self._build_reserved_command_lines()
-        commands_section = (
-            "\n".join(command_lines)
-            if command_lines
-            else "No enabled built-in commands."
-        )
-
-        msg_parts = [
-            f"AstrBot v{VERSION}(WebUI: {dashboard_version})",
-            commands_section,
-        ]
-        if notice:
-            msg_parts.append(notice)
-        msg = "\n".join(msg_parts)
-
-        event.set_result(MessageEventResult().message(msg).use_t2i(False))

astrbot/builtin_stars/builtin_commands/commands/name.py

@@ -1,48 +0,0 @@
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent, MessageEventResult
-from astrbot.core.umo_alias import get_event_auto_name, normalize_umo_name
-
-
-class NameCommand:
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-
-    async def name(self, event: AstrMessageEvent, alias: str) -> None:
-        umo = event.unified_msg_origin
-        auto_name = get_event_auto_name(event)
-        alias = normalize_umo_name(alias)
-        if not alias:
-            saved_alias = await self.context.get_db().get_umo_alias(umo)
-            user_alias = normalize_umo_name(
-                saved_alias.user_alias if saved_alias else ""
-            )
-            event.set_result(
-                MessageEventResult()
-                .message(
-                    "\n".join(
-                        [
-                            "Usage: /name <name>",
-                            f"UMO: {umo}",
-                            f"Auto name: {auto_name or '(empty)'}",
-                            f"Alias: {user_alias or '(empty)'}",
-                        ]
-                    )
-                )
-                .use_t2i(False)
-            )
-            return
-
-        sender_id = str(event.get_sender_id() or "")
-
-        await self.context.get_db().upsert_umo_alias(
-            umo=umo,
-            creator_sender_id=sender_id,
-            auto_name=auto_name,
-            user_alias=alias,
-        )
-
-        event.set_result(
-            MessageEventResult()
-            .message(f"UMO name set to: {alias}\nUMO: {umo}")
-            .use_t2i(False)
-        )

astrbot/builtin_stars/builtin_commands/commands/provider.py

@@ -1,248 +0,0 @@
-from __future__ import annotations
-
-import asyncio
-
-from astrbot import logger
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent, MessageEventResult
-from astrbot.core.provider.entities import ProviderType
-from astrbot.core.utils.error_redaction import safe_error
-
-
-class ProviderCommands:
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-
-    def _log_reachability_failure(
-        self,
-        provider,
-        provider_capability_type: ProviderType | None,
-        err_code: str,
-        err_reason: str,
-    ) -> None:
-        meta = provider.meta()
-        logger.warning(
-            "Provider reachability check failed: id=%s type=%s code=%s reason=%s",
-            meta.id,
-            provider_capability_type.name if provider_capability_type else "unknown",
-            err_code,
-            err_reason,
-        )
-
-    async def _test_provider_capability(self, provider):
-        meta = provider.meta()
-        provider_capability_type = meta.provider_type
-
-        try:
-            await provider.test()
-            return True, None, None
-        except Exception as e:
-            err_code = "TEST_FAILED"
-            err_reason = safe_error("", e)
-            self._log_reachability_failure(
-                provider, provider_capability_type, err_code, err_reason
-            )
-            return False, err_code, err_reason
-
-    async def _build_provider_display_data(
-        self,
-        providers,
-        provider_type: str,
-        reachability_check_enabled: bool,
-    ) -> list[dict]:
-        if not providers:
-            return []
-
-        if reachability_check_enabled:
-            check_results = await asyncio.gather(
-                *[self._test_provider_capability(provider) for provider in providers],
-                return_exceptions=True,
-            )
-        else:
-            check_results = [None for _ in providers]
-
-        display_data = []
-        for provider, reachable in zip(providers, check_results):
-            meta = provider.meta()
-            id_ = meta.id
-            error_code = None
-
-            if isinstance(reachable, asyncio.CancelledError):
-                raise reachable
-            if isinstance(reachable, Exception):
-                self._log_reachability_failure(
-                    provider,
-                    None,
-                    reachable.__class__.__name__,
-                    safe_error("", reachable),
-                )
-                reachable_flag = False
-                error_code = reachable.__class__.__name__
-            elif isinstance(reachable, tuple):
-                reachable_flag, error_code, _ = reachable
-            else:
-                reachable_flag = reachable
-
-            if provider_type == "llm":
-                info = f"{id_} ({meta.model})"
-            else:
-                info = f"{id_}"
-
-            if reachable_flag is True:
-                mark = " ✅"
-            elif reachable_flag is False:
-                if error_code:
-                    mark = f" ❌(errcode: {error_code})"
-                else:
-                    mark = " ❌"
-            else:
-                mark = ""
-
-            display_data.append(
-                {
-                    "info": info,
-                    "mark": mark,
-                    "provider": provider,
-                }
-            )
-
-        return display_data
-
-    async def provider(
-        self,
-        event: AstrMessageEvent,
-        idx: str | int | None = None,
-        idx2: int | None = None,
-    ) -> None:
-        """查看或者切换 LLM Provider"""
-        umo = event.unified_msg_origin
-        cfg = self.context.get_config(umo).get("provider_settings", {})
-        reachability_check_enabled = cfg.get("reachability_check", True)
-
-        if idx is None:
-            parts = ["## LLM Providers\n"]
-
-            llms = list(self.context.get_all_providers())
-            ttss = self.context.get_all_tts_providers()
-            stts = self.context.get_all_stt_providers()
-
-            if reachability_check_enabled and (llms or ttss or stts):
-                await event.send(
-                    MessageEventResult().message("👀 Testing provider reachability...")
-                )
-
-            llm_data, tts_data, stt_data = await asyncio.gather(
-                self._build_provider_display_data(
-                    llms,
-                    "llm",
-                    reachability_check_enabled,
-                ),
-                self._build_provider_display_data(
-                    ttss,
-                    "tts",
-                    reachability_check_enabled,
-                ),
-                self._build_provider_display_data(
-                    stts,
-                    "stt",
-                    reachability_check_enabled,
-                ),
-            )
-
-            provider_using = self.context.get_using_provider(umo=umo)
-            for i, d in enumerate(llm_data):
-                line = f"{i + 1}. {d['info']}{d['mark']}"
-                if (
-                    provider_using
-                    and provider_using.meta().id == d["provider"].meta().id
-                ):
-                    line += " 👈"
-                parts.append(line + "\n")
-
-            if tts_data:
-                parts.append("\n## TTS Providers\n")
-                tts_using = self.context.get_using_tts_provider(umo=umo)
-                for i, d in enumerate(tts_data):
-                    line = f"{i + 1}. {d['info']}{d['mark']}"
-                    if tts_using and tts_using.meta().id == d["provider"].meta().id:
-                        line += " 👈"
-                    parts.append(line + "\n")
-
-            if stt_data:
-                parts.append("\n## STT Providers\n")
-                stt_using = self.context.get_using_stt_provider(umo=umo)
-                for i, d in enumerate(stt_data):
-                    line = f"{i + 1}. {d['info']}{d['mark']}"
-                    if stt_using and stt_using.meta().id == d["provider"].meta().id:
-                        line += " 👈"
-                    parts.append(line + "\n")
-
-            parts.append("\nUse /provider <idx> to switch LLM providers.")
-            ret = "".join(parts)
-
-            if ttss:
-                ret += "\nUse /provider tts <idx> to switch TTS providers."
-            if stts:
-                ret += "\nUse /provider stt <idx> to switch STT providers."
-
-            event.set_result(MessageEventResult().message(ret))
-        elif idx == "tts":
-            if idx2 is None:
-                event.set_result(
-                    MessageEventResult().message("Please enter the index.")
-                )
-                return
-            if idx2 > len(self.context.get_all_tts_providers()) or idx2 < 1:
-                event.set_result(
-                    MessageEventResult().message("❌ Invalid provider index.")
-                )
-                return
-            provider = self.context.get_all_tts_providers()[idx2 - 1]
-            id_ = provider.meta().id
-            await self.context.provider_manager.set_provider(
-                provider_id=id_,
-                provider_type=ProviderType.TEXT_TO_SPEECH,
-                umo=umo,
-            )
-            event.set_result(
-                MessageEventResult().message(f"✅ Successfully switched to {id_}.")
-            )
-        elif idx == "stt":
-            if idx2 is None:
-                event.set_result(
-                    MessageEventResult().message("Please enter the index.")
-                )
-                return
-            if idx2 > len(self.context.get_all_stt_providers()) or idx2 < 1:
-                event.set_result(
-                    MessageEventResult().message("❌ Invalid provider index.")
-                )
-                return
-            provider = self.context.get_all_stt_providers()[idx2 - 1]
-            id_ = provider.meta().id
-            await self.context.provider_manager.set_provider(
-                provider_id=id_,
-                provider_type=ProviderType.SPEECH_TO_TEXT,
-                umo=umo,
-            )
-            event.set_result(
-                MessageEventResult().message(f"✅ Successfully switched to {id_}.")
-            )
-        elif isinstance(idx, int):
-            if idx > len(self.context.get_all_providers()) or idx < 1:
-                event.set_result(
-                    MessageEventResult().message("❌ Invalid provider index.")
-                )
-                return
-            provider = self.context.get_all_providers()[idx - 1]
-            id_ = provider.meta().id
-            await self.context.provider_manager.set_provider(
-                provider_id=id_,
-                provider_type=ProviderType.CHAT_COMPLETION,
-                umo=umo,
-            )
-            event.set_result(
-                MessageEventResult().message(f"✅ Successfully switched to {id_}.")
-            )
-        else:
-            event.set_result(MessageEventResult().message("❌ Invalid parameter."))

astrbot/builtin_stars/builtin_commands/commands/sid.py

@@ -1,36 +0,0 @@
-"""会话ID命令"""
-
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent, MessageEventResult
-
-
-class SIDCommand:
-    """会话ID命令类"""
-
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-
-    async def sid(self, event: AstrMessageEvent) -> None:
-        """获取消息来源信息"""
-        sid = event.unified_msg_origin
-        user_id = str(event.get_sender_id())
-        umo_platform = event.session.platform_id
-        umo_msg_type = event.session.message_type.value
-        umo_session_id = event.session.session_id
-        ret = (
-            f"UMO: 「{sid}」\n"
-            f"UID: 「{user_id}」\n"
-            "*Use UMO to set whitelist and configure routing, use UID to set admin list(UMO 可用于设置白名单和配置文件路由，UID 可用于设置管理员列表)\n\n"
-            f"Your session information:\n"
-            f"Bot ID: 「{umo_platform}」\n"
-            f"Message Type: 「{umo_msg_type}」\n"
-            f"Session ID: 「{umo_session_id}」\n\n"
-        )
-
-        if (
-            self.context.get_config()["platform_settings"]["unique_session"]
-            and event.get_group_id()
-        ):
-            ret += f"\n\nThe group's ID: 「{event.get_group_id()}」. Set this ID to whitelist to allow the entire group."
-
-        event.set_result(MessageEventResult().message(ret).use_t2i(False))

astrbot/builtin_stars/builtin_commands/commands/utils/rst_scene.py

@@ -1,26 +0,0 @@
-from enum import Enum
-
-
-class RstScene(Enum):
-    GROUP_UNIQUE_ON = ("group_unique_on", "群聊+会话隔离开启")
-    GROUP_UNIQUE_OFF = ("group_unique_off", "群聊+会话隔离关闭")
-    PRIVATE = ("private", "私聊")
-
-    @property
-    def key(self) -> str:
-        return self.value[0]
-
-    @property
-    def name(self) -> str:
-        return self.value[1]
-
-    @classmethod
-    def from_index(cls, index: int) -> "RstScene":
-        mapping = {1: cls.GROUP_UNIQUE_ON, 2: cls.GROUP_UNIQUE_OFF, 3: cls.PRIVATE}
-        return mapping[index]
-
-    @classmethod
-    def get_scene(cls, is_group: bool, is_unique_session: bool) -> "RstScene":
-        if is_group:
-            return cls.GROUP_UNIQUE_ON if is_unique_session else cls.GROUP_UNIQUE_OFF
-        return cls.PRIVATE

astrbot/builtin_stars/builtin_commands/main.py

@@ -1,89 +0,0 @@
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent, filter
-from astrbot.core.star.filter.command import GreedyStr
-
-from .commands import (
-    AdminCommands,
-    ConversationCommands,
-    HelpCommand,
-    NameCommand,
-    ProviderCommands,
-    SetUnsetCommands,
-    SIDCommand,
-)
-
-
-class Main(star.Star):
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-
-        self.admin_c = AdminCommands(self.context)
-        self.conversation_c = ConversationCommands(self.context)
-        self.help_c = HelpCommand(self.context)
-        self.name_c = NameCommand(self.context)
-        self.provider_c = ProviderCommands(self.context)
-        self.setunset_c = SetUnsetCommands(self.context)
-        self.sid_c = SIDCommand(self.context)
-
-    @filter.command("help")
-    async def help(self, event: AstrMessageEvent) -> None:
-        """Show help message"""
-        await self.help_c.help(event)
-
-    @filter.command("sid")
-    async def sid(self, event: AstrMessageEvent) -> None:
-        """Get session ID and other related information"""
-        await self.sid_c.sid(event)
-
-    @filter.permission_type(filter.PermissionType.ADMIN)
-    @filter.command("name")
-    async def name(self, event: AstrMessageEvent, alias: GreedyStr) -> None:
-        """Set display name for current UMO"""
-        await self.name_c.name(event, alias)
-
-    @filter.command("reset")
-    async def reset(self, message: AstrMessageEvent) -> None:
-        """Reset conversation history"""
-        await self.conversation_c.reset(message)
-
-    @filter.command("stop")
-    async def stop(self, message: AstrMessageEvent) -> None:
-        """Stop agent execution"""
-        await self.conversation_c.stop(message)
-
-    @filter.command("new")
-    async def new_conv(self, message: AstrMessageEvent) -> None:
-        """Create new conversation"""
-        await self.conversation_c.new_conv(message)
-
-    @filter.command("stats")
-    async def stats(self, message: AstrMessageEvent) -> None:
-        """Show token usage statistics for the current conversation"""
-        await self.conversation_c.stats(message)
-
-    @filter.permission_type(filter.PermissionType.ADMIN)
-    @filter.command("provider")
-    async def provider(
-        self,
-        event: AstrMessageEvent,
-        idx: str | int | None = None,
-        idx2: int | None = None,
-    ) -> None:
-        """View or switch LLM Provider"""
-        await self.provider_c.provider(event, idx, idx2)
-
-    @filter.permission_type(filter.PermissionType.ADMIN)
-    @filter.command("dashboard_update")
-    async def update_dashboard(self, event: AstrMessageEvent) -> None:
-        """Update AstrBot WebUI"""
-        await self.admin_c.update_dashboard(event)
-
-    @filter.command("set")
-    async def set_variable(self, event: AstrMessageEvent, key: str, value: str) -> None:
-        """Set session variable"""
-        await self.setunset_c.set_variable(event, key, value)
-
-    @filter.command("unset")
-    async def unset_variable(self, event: AstrMessageEvent, key: str) -> None:
-        """Unset session variable"""
-        await self.setunset_c.unset_variable(event, key)

astrbot/builtin_stars/builtin_commands/metadata.yaml

@@ -1,4 +0,0 @@
-name: builtin_commands
-desc: AstrBot's internal plugin, providing all built-in commands such as /reset.
-author: Soulter
-version: 0.0.1

astrbot/cli/__init__.py

@@ -1,3 +1 @@
-from astrbot.core.config.default import VERSION
-
-__version__ = VERSION
+__version__ = "3.5.23"

astrbot/cli/__main__.py

@@ -1,11 +1,11 @@
-"""AstrBot CLI entry point"""
-
-import sys
+"""
+AstrBot CLI入口
+"""
 
 import click
-
+import sys
 from . import __version__
-from .commands import conf, init, password, plug, run
+from .commands import init, run, plug, conf
 
 logo_tmpl = r"""
      ___           _______.___________..______      .______     ______   .___________.
@@ -29,23 +29,23 @@ def cli() -> None:
 @click.command()
 @click.argument("command_name", required=False, type=str)
 def help(command_name: str | None) -> None:
-    """Display help information for commands
+    """显示命令的帮助信息
 
-    If COMMAND_NAME is provided, display detailed help for that command.
-    Otherwise, display general help information.
+    如果提供了 COMMAND_NAME，则显示该命令的详细帮助信息。
+    否则，显示通用帮助信息。
     """
     ctx = click.get_current_context()
     if command_name:
-        # Find the specified command
+        # 查找指定命令
         command = cli.get_command(ctx, command_name)
         if command:
-            # Display help for the specific command
+            # 显示特定命令的帮助信息
             click.echo(command.get_help(ctx))
         else:
             click.echo(f"Unknown command: {command_name}")
             sys.exit(1)
     else:
-        # Display general help information
+        # 显示通用帮助信息
         click.echo(cli.get_help(ctx))
 
 
@@ -54,7 +54,6 @@ cli.add_command(run)
 cli.add_command(help)
 cli.add_command(plug)
 cli.add_command(conf)
-cli.add_command(password)
 
 if __name__ == "__main__":
     cli()

astrbot/cli/commands/__init__.py

@@ -1,7 +1,6 @@
-from .cmd_conf import conf
 from .cmd_init import init
-from .cmd_password import password
-from .cmd_plug import plug
 from .cmd_run import run
+from .cmd_plug import plug
+from .cmd_conf import conf
 
-__all__ = ["conf", "init", "password", "plug", "run"]
+__all__ = ["init", "run", "plug", "conf"]

astrbot/cli/commands/cmd_conf.py

@@ -1,77 +1,63 @@
 import json
-import zoneinfo
-from collections.abc import Callable
-from typing import Any
-
 import click
-
-from astrbot.core.utils.auth_password import (
-    hash_dashboard_password,
-    hash_md5_dashboard_password,
-    validate_dashboard_password,
-)
-
-from ..utils import check_astrbot_root, get_astrbot_root
+import hashlib
+import zoneinfo
+from typing import Any, Callable
+from ..utils import get_astrbot_root, check_astrbot_root
 
 
 def _validate_log_level(value: str) -> str:
-    """Validate log level"""
+    """验证日志级别"""
     value = value.upper()
     if value not in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]:
         raise click.ClickException(
-            "Log level must be one of DEBUG/INFO/WARNING/ERROR/CRITICAL",
+            "日志级别必须是 DEBUG/INFO/WARNING/ERROR/CRITICAL 之一"
         )
     return value
 
 
 def _validate_dashboard_port(value: str) -> int:
-    """Validate Dashboard port"""
+    """验证 Dashboard 端口"""
     try:
         port = int(value)
         if port < 1 or port > 65535:
-            raise click.ClickException("Port must be in range 1-65535")
+            raise click.ClickException("端口必须在 1-65535 范围内")
         return port
     except ValueError:
-        raise click.ClickException("Port must be a number")
+        raise click.ClickException("端口必须是数字")
 
 
 def _validate_dashboard_username(value: str) -> str:
-    """Validate Dashboard username"""
+    """验证 Dashboard 用户名"""
     if not value:
-        raise click.ClickException("Username cannot be empty")
+        raise click.ClickException("用户名不能为空")
     return value
 
 
 def _validate_dashboard_password(value: str) -> str:
-    """Validate Dashboard password"""
-    try:
-        validate_dashboard_password(value)
-    except ValueError as e:
-        raise click.ClickException(str(e))
-    return value
+    """验证 Dashboard 密码"""
+    if not value:
+        raise click.ClickException("密码不能为空")
+    return hashlib.md5(value.encode()).hexdigest()
 
 
 def _validate_timezone(value: str) -> str:
-    """Validate timezone"""
+    """验证时区"""
     try:
         zoneinfo.ZoneInfo(value)
     except Exception:
-        raise click.ClickException(
-            f"Invalid timezone: {value}. Please use a valid IANA timezone name"
-        )
+        raise click.ClickException(f"无效的时区: {value}，请使用有效的IANA时区名称")
     return value
 
 
 def _validate_callback_api_base(value: str) -> str:
-    """Validate callback API base URL"""
+    """验证回调接口基址"""
     if not value.startswith("http://") and not value.startswith("https://"):
-        raise click.ClickException(
-            "Callback API base must start with http:// or https://"
-        )
+        raise click.ClickException("回调接口基址必须以 http:// 或 https:// 开头")
     return value
 
 
-# Configuration items settable via CLI, mapping config keys to validator functions
+# 可通过CLI设置的配置项，配置键到验证器函数的映射
 CONFIG_VALIDATORS: dict[str, Callable[[str], Any]] = {
     "timezone": _validate_timezone,
     "log_level": _validate_log_level,
@@ -83,11 +69,11 @@ CONFIG_VALIDATORS: dict[str, Callable[[str], Any]] = {
 
 
 def _load_config() -> dict[str, Any]:
-    """Load or initialize config file"""
+    """加载或初始化配置文件"""
     root = get_astrbot_root()
     if not check_astrbot_root(root):
         raise click.ClickException(
-            f"{root} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
+            f"{root}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init"
         )
 
     config_path = root / "data" / "cmd_config.json"
@@ -102,119 +88,100 @@ def _load_config() -> dict[str, Any]:
     try:
         return json.loads(config_path.read_text(encoding="utf-8-sig"))
     except json.JSONDecodeError as e:
-        raise click.ClickException(f"Failed to parse config file: {e!s}")
+        raise click.ClickException(f"配置文件解析失败: {str(e)}")
 
 
 def _save_config(config: dict[str, Any]) -> None:
-    """Save config file"""
+    """保存配置文件"""
     config_path = get_astrbot_root() / "data" / "cmd_config.json"
 
     config_path.write_text(
-        json.dumps(config, ensure_ascii=False, indent=2),
-        encoding="utf-8-sig",
+        json.dumps(config, ensure_ascii=False, indent=2), encoding="utf-8-sig"
     )
 
 
 def _set_nested_item(obj: dict[str, Any], path: str, value: Any) -> None:
-    """Set a value in a nested dictionary"""
+    """设置嵌套字典中的值"""
     parts = path.split(".")
     for part in parts[:-1]:
         if part not in obj:
             obj[part] = {}
         elif not isinstance(obj[part], dict):
             raise click.ClickException(
-                f"Config path conflict: {'.'.join(parts[: parts.index(part) + 1])} is not a dict",
+                f"配置路径冲突: {'.'.join(parts[: parts.index(part) + 1])} 不是字典"
             )
         obj = obj[part]
     obj[parts[-1]] = value
 
 
 def _get_nested_item(obj: dict[str, Any], path: str) -> Any:
-    """Get a value from a nested dictionary"""
+    """获取嵌套字典中的值"""
     parts = path.split(".")
     for part in parts:
         obj = obj[part]
     return obj
 
 
-def _set_dashboard_password(config: dict[str, Any], raw_password: str) -> None:
-    """Set dashboard password hashes and clear password migration flags."""
-    _set_nested_item(
-        config,
-        "dashboard.pbkdf2_password",
-        hash_dashboard_password(raw_password),
-    )
-    _set_nested_item(
-        config,
-        "dashboard.password",
-        hash_md5_dashboard_password(raw_password),
-    )
-    _set_nested_item(config, "dashboard.password_storage_upgraded", True)
-    _set_nested_item(config, "dashboard.password_change_required", False)
-
-
 @click.group(name="conf")
-def conf() -> None:
-    """Configuration management commands
+def conf():
+    """配置管理命令
 
-    Supported config keys:
+    支持的配置项:
 
-    - timezone: Timezone setting (e.g. Asia/Shanghai)
+    - timezone: 时区设置 (例如: Asia/Shanghai)
 
-    - log_level: Log level (DEBUG/INFO/WARNING/ERROR/CRITICAL)
+    - log_level: 日志级别 (DEBUG/INFO/WARNING/ERROR/CRITICAL)
 
-    - dashboard.port: Dashboard port
+    - dashboard.port: Dashboard 端口
 
-    - dashboard.username: Dashboard username
+    - dashboard.username: Dashboard 用户名
 
-    - dashboard.password: Dashboard password
+    - dashboard.password: Dashboard 密码
 
-    - callback_api_base: Callback API base URL
+    - callback_api_base: 回调接口基址
     """
+    pass
 
 
 @conf.command(name="set")
 @click.argument("key")
 @click.argument("value")
-def set_config(key: str, value: str) -> None:
-    """Set the value of a config item"""
-    if key not in CONFIG_VALIDATORS:
-        raise click.ClickException(f"Unsupported config key: {key}")
+def set_config(key: str, value: str):
+    """设置配置项的值"""
+    if key not in CONFIG_VALIDATORS.keys():
+        raise click.ClickException(f"不支持的配置项: {key}")
 
     config = _load_config()
 
     try:
         old_value = _get_nested_item(config, key)
         validated_value = CONFIG_VALIDATORS[key](value)
-        if key == "dashboard.password":
-            _set_dashboard_password(config, validated_value)
-        else:
-            _set_nested_item(config, key, validated_value)
+        _set_nested_item(config, key, validated_value)
         _save_config(config)
 
-        click.echo(f"Config updated: {key}")
+        click.echo(f"配置已更新: {key}")
         if key == "dashboard.password":
-            click.echo("  Old value: ********")
-            click.echo("  New value: ********")
+            click.echo("  原值: ********")
+            click.echo("  新值: ********")
         else:
-            click.echo(f"  Old value: {old_value}")
-            click.echo(f"  New value: {validated_value}")
+            click.echo(f"  原值: {old_value}")
+            click.echo(f"  新值: {validated_value}")
 
     except KeyError:
-        raise click.ClickException(f"Unknown config key: {key}")
+        raise click.ClickException(f"未知的配置项: {key}")
     except Exception as e:
-        raise click.UsageError(f"Failed to set config: {e!s}")
+        raise click.UsageError(f"设置配置失败: {str(e)}")
 
 
 @conf.command(name="get")
 @click.argument("key", required=False)
-def get_config(key: str | None = None) -> None:
-    """Get the value of a config item. If no key is provided, show all configurable items"""
+def get_config(key: str = None):
+    """获取配置项的值，不提供key则显示所有可配置项"""
     config = _load_config()
 
     if key:
-        if key not in CONFIG_VALIDATORS:
-            raise click.ClickException(f"Unsupported config key: {key}")
+        if key not in CONFIG_VALIDATORS.keys():
+            raise click.ClickException(f"不支持的配置项: {key}")
 
         try:
             value = _get_nested_item(config, key)
@@ -222,12 +189,12 @@ def get_config(key: str | None = None) -> None:
                 value = "********"
             click.echo(f"{key}: {value}")
         except KeyError:
-            raise click.ClickException(f"Unknown config key: {key}")
+            raise click.ClickException(f"未知的配置项: {key}")
         except Exception as e:
-            raise click.UsageError(f"Failed to get config: {e!s}")
+            raise click.UsageError(f"获取配置失败: {str(e)}")
     else:
-        click.echo("Current config:")
-        for key in CONFIG_VALIDATORS:
+        click.echo("当前配置:")
+        for key in CONFIG_VALIDATORS.keys():
             try:
                 value = (
                     "********"

astrbot/cli/commands/cmd_init.py

@@ -1,32 +1,22 @@
 import asyncio
-import os
-from pathlib import Path
 
 import click
 from filelock import FileLock, Timeout
 
 from ..utils import check_dashboard, get_astrbot_root
 
-DASHBOARD_INITIAL_PASSWORD_ENV = "ASTRBOT_DASHBOARD_INITIAL_PASSWORD"
 
-
-def _initialize_config_from_env(astrbot_root: Path) -> None:
-    if DASHBOARD_INITIAL_PASSWORD_ENV not in os.environ:
-        return
-
-    from astrbot.core.config.astrbot_config import AstrBotConfig
-
-    AstrBotConfig(config_path=str(astrbot_root / "data" / "cmd_config.json"))
-    click.echo("Initialized data/cmd_config.json with dashboard initial password.")
-
-
-async def initialize_astrbot(astrbot_root: Path) -> None:
-    """Execute AstrBot initialization logic"""
+async def initialize_astrbot(astrbot_root) -> None:
+    """执行 AstrBot 初始化逻辑"""
     dot_astrbot = astrbot_root / ".astrbot"
 
     if not dot_astrbot.exists():
+        click.echo(f"Current Directory: {astrbot_root}")
+        click.echo(
+            "如果你确认这是 Astrbot root directory, 你需要在当前目录下创建一个 .astrbot 文件标记该目录为 AstrBot 的数据目录。"
+        )
         if click.confirm(
-            f"Install AstrBot to this directory? {astrbot_root}",
+            f"请检查当前目录是否正确，确认正确请回车: {astrbot_root}",
             default=True,
             abort=True,
         ):
@@ -44,14 +34,12 @@ async def initialize_astrbot(astrbot_root: Path) -> None:
         path.mkdir(parents=True, exist_ok=True)
         click.echo(f"{'Created' if not path.exists() else 'Directory exists'}: {path}")
 
-    _initialize_config_from_env(astrbot_root)
-
     await check_dashboard(astrbot_root / "data")
 
 
 @click.command()
 def init() -> None:
-    """Initialize AstrBot"""
+    """初始化 AstrBot"""
     click.echo("Initializing AstrBot...")
     astrbot_root = get_astrbot_root()
     lock_file = astrbot_root / "astrbot.lock"
@@ -60,11 +48,8 @@ def init() -> None:
     try:
         with lock.acquire():
             asyncio.run(initialize_astrbot(astrbot_root))
-            click.echo("Done! You can now run 'astrbot run' to start AstrBot")
     except Timeout:
-        raise click.ClickException(
-            "Cannot acquire lock file. Please check if another instance is running"
-        )
+        raise click.ClickException("无法获取锁文件，请检查是否有其他实例正在运行")
 
     except Exception as e:
-        raise click.ClickException(f"Initialization failed: {e!s}")
+        raise click.ClickException(f"初始化失败: {e!s}")

astrbot/cli/commands/cmd_password.py

@@ -1,38 +0,0 @@
-import click
-
-from .cmd_conf import (
-    _load_config,
-    _save_config,
-    _set_dashboard_password,
-    _set_nested_item,
-    _validate_dashboard_password,
-    _validate_dashboard_username,
-)
-
-
-@click.command(name="password")
-@click.option(
-    "--username",
-    help="Optional dashboard username to set together with the new password.",
-)
-def password(username: str | None) -> None:
-    """Change the AstrBot dashboard password."""
-    config = _load_config()
-
-    new_password = click.prompt(
-        "New dashboard password",
-        hide_input=True,
-        confirmation_prompt=True,
-    )
-    validated_password = _validate_dashboard_password(new_password)
-
-    if username is not None:
-        validated_username = _validate_dashboard_username(username.strip())
-        _set_nested_item(config, "dashboard.username", validated_username)
-
-    _set_dashboard_password(config, validated_password)
-    _save_config(config)
-
-    click.echo("Dashboard password updated.")
-    if username is not None:
-        click.echo(f"Dashboard username updated: {validated_username}")

astrbot/cli/commands/cmd_plug.py

@@ -1,94 +1,92 @@
 import re
-import shutil
 from pathlib import Path
 
 import click
+import shutil
+
 
 from ..utils import (
-    PluginStatus,
+    get_git_repo,
     build_plug_list,
+    manage_plugin,
+    PluginStatus,
     check_astrbot_root,
     get_astrbot_root,
-    get_git_repo,
-    manage_plugin,
 )
 
 
 @click.group()
-def plug() -> None:
-    """Plugin management"""
+def plug():
+    """插件管理"""
+    pass
 
 
 def _get_data_path() -> Path:
     base = get_astrbot_root()
     if not check_astrbot_root(base):
         raise click.ClickException(
-            f"{base} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
+            f"{base}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init"
         )
     return (base / "data").resolve()
 
 
-def display_plugins(plugins, title=None, color=None) -> None:
+def display_plugins(plugins, title=None, color=None):
     if title:
         click.echo(click.style(title, fg=color, bold=True))
 
-    click.echo(
-        f"{'Name':<20} {'Version':<10} {'Status':<10} {'Author':<15} {'Description':<30}"
-    )
+    click.echo(f"{'名称':<20} {'版本':<10} {'状态':<10} {'作者':<15} {'描述':<30}")
     click.echo("-" * 85)
 
     for p in plugins:
         desc = p["desc"][:30] + ("..." if len(p["desc"]) > 30 else "")
         click.echo(
             f"{p['name']:<20} {p['version']:<10} {p['status']:<10} "
-            f"{p['author']:<15} {desc:<30}",
+            f"{p['author']:<15} {desc:<30}"
         )
 
 
 @plug.command()
 @click.argument("name")
-def new(name: str) -> None:
-    """Create a new plugin"""
+def new(name: str):
+    """创建新插件"""
     base_path = _get_data_path()
     plug_path = base_path / "plugins" / name
 
     if plug_path.exists():
-        raise click.ClickException(f"Plugin {name} already exists")
+        raise click.ClickException(f"插件 {name} 已存在")
 
-    author = click.prompt("Enter plugin author", type=str)
-    desc = click.prompt("Enter plugin description", type=str)
-    version = click.prompt("Enter plugin version", type=str)
+    author = click.prompt("请输入插件作者", type=str)
+    desc = click.prompt("请输入插件描述", type=str)
+    version = click.prompt("请输入插件版本", type=str)
     if not re.match(r"^\d+\.\d+(\.\d+)?$", version.lower().lstrip("v")):
-        raise click.ClickException("Version must be in x.y or x.y.z format")
-    repo = click.prompt("Enter plugin repository URL:", type=str)
+        raise click.ClickException("版本号必须为 x.y 或 x.y.z 格式")
+    repo = click.prompt("请输入插件仓库：", type=str)
     if not repo.startswith("http"):
-        raise click.ClickException("Repository URL must start with http")
+        raise click.ClickException("仓库地址必须以 http 开头")
 
-    click.echo("Downloading plugin template...")
+    click.echo("下载插件模板...")
     get_git_repo(
         "https://github.com/Soulter/helloworld",
         plug_path,
     )
 
-    click.echo("Rewriting plugin metadata...")
-    # Rewrite metadata.yaml
+    click.echo("重写插件信息...")
+    # 重写 metadata.yaml
     with open(plug_path / "metadata.yaml", "w", encoding="utf-8") as f:
         f.write(
             f"name: {name}\n"
             f"desc: {desc}\n"
             f"version: {version}\n"
             f"author: {author}\n"
-            f"repo: {repo}\n",
+            f"repo: {repo}\n"
         )
 
-    # Rewrite README.md
+    # 重写 README.md
     with open(plug_path / "README.md", "w", encoding="utf-8") as f:
-        f.write(
-            f"# {name}\n\n{desc}\n\n# Support\n\n[Documentation](https://docs.astrbot.app)\n"
-        )
+        f.write(f"# {name}\n\n{desc}\n\n# 支持\n\n[帮助文档](https://astrbot.app)\n")
 
-    # Rewrite main.py
-    with open(plug_path / "main.py", encoding="utf-8") as f:
+    # 重写 main.py
+    with open(plug_path / "main.py", "r", encoding="utf-8") as f:
         content = f.read()
 
     new_content = content.replace(
@@ -99,54 +97,54 @@ def new(name: str) -> None:
     with open(plug_path / "main.py", "w", encoding="utf-8") as f:
         f.write(new_content)
 
-    click.echo(f"Plugin {name} created successfully")
+    click.echo(f"插件 {name} 创建成功")
 
 
 @plug.command()
-@click.option("--all", "-a", is_flag=True, help="List uninstalled plugins")
-def list(all: bool) -> None:
-    """List plugins"""
+@click.option("--all", "-a", is_flag=True, help="列出未安装的插件")
+def list(all: bool):
+    """列出插件"""
     base_path = _get_data_path()
     plugins = build_plug_list(base_path / "plugins")
 
-    # Unpublished plugins
+    # 未发布的插件
     not_published_plugins = [
         p for p in plugins if p["status"] == PluginStatus.NOT_PUBLISHED
     ]
     if not_published_plugins:
-        display_plugins(not_published_plugins, "Unpublished Plugins", "red")
+        display_plugins(not_published_plugins, "未发布的插件", "red")
 
-    # Plugins needing update
+    # 需要更新的插件
     need_update_plugins = [
         p for p in plugins if p["status"] == PluginStatus.NEED_UPDATE
     ]
     if need_update_plugins:
-        display_plugins(need_update_plugins, "Plugins Needing Update", "yellow")
+        display_plugins(need_update_plugins, "需要更新的插件", "yellow")
 
-    # Installed plugins
+    # 已安装的插件
     installed_plugins = [p for p in plugins if p["status"] == PluginStatus.INSTALLED]
     if installed_plugins:
-        display_plugins(installed_plugins, "Installed Plugins", "green")
+        display_plugins(installed_plugins, "已安装的插件", "green")
 
-    # Uninstalled plugins
+    # 未安装的插件
     not_installed_plugins = [
         p for p in plugins if p["status"] == PluginStatus.NOT_INSTALLED
     ]
     if not_installed_plugins and all:
-        display_plugins(not_installed_plugins, "Uninstalled Plugins", "blue")
+        display_plugins(not_installed_plugins, "未安装的插件", "blue")
 
     if (
         not any([not_published_plugins, need_update_plugins, installed_plugins])
         and not all
     ):
-        click.echo("No plugins installed")
+        click.echo("未安装任何插件")
 
 
 @plug.command()
 @click.argument("name")
-@click.option("--proxy", help="Proxy server address")
-def install(name: str, proxy: str | None) -> None:
-    """Install a plugin"""
+@click.option("--proxy", help="代理服务器地址")
+def install(name: str, proxy: str | None):
+    """安装插件"""
     base_path = _get_data_path()
     plug_path = base_path / "plugins"
     plugins = build_plug_list(base_path / "plugins")
@@ -161,40 +159,38 @@ def install(name: str, proxy: str | None) -> None:
     )
 
     if not plugin:
-        raise click.ClickException(f"Plugin {name} not found or already installed")
+        raise click.ClickException(f"未找到可安装的插件 {name}，可能是不存在或已安装")
 
     manage_plugin(plugin, plug_path, is_update=False, proxy=proxy)
 
 
 @plug.command()
 @click.argument("name")
-def remove(name: str) -> None:
-    """Uninstall a plugin"""
+def remove(name: str):
+    """卸载插件"""
     base_path = _get_data_path()
     plugins = build_plug_list(base_path / "plugins")
     plugin = next((p for p in plugins if p["name"] == name), None)
 
     if not plugin or not plugin.get("local_path"):
-        raise click.ClickException(f"Plugin {name} does not exist or is not installed")
+        raise click.ClickException(f"插件 {name} 不存在或未安装")
 
     plugin_path = plugin["local_path"]
 
-    click.confirm(
-        f"Are you sure you want to uninstall plugin {name}?", default=False, abort=True
-    )
+    click.confirm(f"确定要卸载插件 {name} 吗?", default=False, abort=True)
 
     try:
         shutil.rmtree(plugin_path)
-        click.echo(f"Plugin {name} has been uninstalled")
+        click.echo(f"插件 {name} 已卸载")
     except Exception as e:
-        raise click.ClickException(f"Failed to uninstall plugin {name}: {e}")
+        raise click.ClickException(f"卸载插件 {name} 失败: {e}")
 
 
 @plug.command()
 @click.argument("name", required=False)
-@click.option("--proxy", help="GitHub proxy address")
-def update(name: str, proxy: str | None) -> None:
-    """Update plugins"""
+@click.option("--proxy", help="Github代理地址")
+def update(name: str, proxy: str | None):
+    """更新插件"""
     base_path = _get_data_path()
     plug_path = base_path / "plugins"
     plugins = build_plug_list(base_path / "plugins")
@@ -210,9 +206,7 @@ def update(name: str, proxy: str | None) -> None:
         )
 
         if not plugin:
-            raise click.ClickException(
-                f"Plugin {name} does not need updating or cannot be updated"
-            )
+            raise click.ClickException(f"插件 {name} 不需要更新或无法更新")
 
         manage_plugin(plugin, plug_path, is_update=True, proxy=proxy)
     else:
@@ -221,20 +215,20 @@ def update(name: str, proxy: str | None) -> None:
         ]
 
         if not need_update_plugins:
-            click.echo("No plugins need updating")
+            click.echo("没有需要更新的插件")
             return
 
-        click.echo(f"Found {len(need_update_plugins)} plugin(s) needing update")
+        click.echo(f"发现 {len(need_update_plugins)} 个插件需要更新")
         for plugin in need_update_plugins:
             plugin_name = plugin["name"]
-            click.echo(f"Updating plugin {plugin_name}...")
+            click.echo(f"正在更新插件 {plugin_name}...")
             manage_plugin(plugin, plug_path, is_update=True, proxy=proxy)
 
 
 @plug.command()
 @click.argument("query")
-def search(query: str) -> None:
-    """Search for plugins"""
+def search(query: str):
+    """搜索插件"""
     base_path = _get_data_path()
     plugins = build_plug_list(base_path / "plugins")
 
@@ -247,7 +241,7 @@ def search(query: str) -> None:
     ]
 
     if not matched_plugins:
-        click.echo(f"No plugins matching '{query}' found")
+        click.echo(f"未找到匹配 '{query}' 的插件")
         return
 
-    display_plugins(matched_plugins, f"Search results: '{query}'", "cyan")
+    display_plugins(matched_plugins, f"搜索结果: '{query}'", "cyan")

astrbot/cli/commands/cmd_run.py

@@ -1,20 +1,19 @@
-import asyncio
 import os
 import sys
-import traceback
 from pathlib import Path
 
 import click
+import asyncio
+import traceback
+
 from filelock import FileLock, Timeout
 
-from ..utils import check_astrbot_root, check_dashboard, get_astrbot_root
-
-DASHBOARD_RESET_PASSWORD_ENV = "ASTRBOT_RESET_DASHBOARD_PASSWORD"
+from ..utils import check_dashboard, check_astrbot_root, get_astrbot_root
 
 
-async def run_astrbot(astrbot_root: Path) -> None:
-    """Run AstrBot"""
-    from astrbot.core import LogBroker, LogManager, db_helper, logger
+async def run_astrbot(astrbot_root: Path):
+    """运行 AstrBot"""
+    from astrbot.core import logger, LogManager, LogBroker, db_helper
     from astrbot.core.initial_loader import InitialLoader
 
     await check_dashboard(astrbot_root / "data")
@@ -28,23 +27,18 @@ async def run_astrbot(astrbot_root: Path) -> None:
     await core_lifecycle.start()
 
 
-@click.option("--reload", "-r", is_flag=True, help="Auto-reload plugins")
-@click.option("--port", "-p", help="AstrBot Dashboard port", required=False, type=str)
-@click.option(
-    "--reset-password",
-    is_flag=True,
-    help="Reset dashboard initial password on startup",
-)
+@click.option("--reload", "-r", is_flag=True, help="插件自动重载")
+@click.option("--port", "-p", help="Astrbot Dashboard端口", required=False, type=str)
 @click.command()
-def run(reload: bool, port: str | None, reset_password: bool) -> None:
-    """Run AstrBot"""
+def run(reload: bool, port: str) -> None:
+    """运行 AstrBot"""
     try:
         os.environ["ASTRBOT_CLI"] = "1"
         astrbot_root = get_astrbot_root()
 
         if not check_astrbot_root(astrbot_root):
             raise click.ClickException(
-                f"{astrbot_root} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
+                f"{astrbot_root}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init"
             )
 
         os.environ["ASTRBOT_ROOT"] = str(astrbot_root)
@@ -54,21 +48,16 @@ def run(reload: bool, port: str | None, reset_password: bool) -> None:
             os.environ["DASHBOARD_PORT"] = port
 
         if reload:
-            click.echo("Plugin auto-reload enabled")
+            click.echo("启用插件自动重载")
             os.environ["ASTRBOT_RELOAD"] = "1"
 
-        if reset_password:
-            os.environ[DASHBOARD_RESET_PASSWORD_ENV] = "1"
-
         lock_file = astrbot_root / "astrbot.lock"
         lock = FileLock(lock_file, timeout=5)
         with lock.acquire():
             asyncio.run(run_astrbot(astrbot_root))
     except KeyboardInterrupt:
-        click.echo("AstrBot has been shut down.")
+        click.echo("AstrBot 已关闭...")
     except Timeout:
-        raise click.ClickException(
-            "Cannot acquire lock file. Please check if another instance is running"
-        )
+        raise click.ClickException("无法获取锁文件，请检查是否有其他实例正在运行")
     except Exception as e:
-        raise click.ClickException(f"Runtime error: {e}\n{traceback.format_exc()}")
+        raise click.ClickException(f"运行时出现错误: {e}\n{traceback.format_exc()}")

astrbot/cli/utils/__init__.py

@@ -1,18 +1,18 @@
 from .basic import (
+    get_astrbot_root,
     check_astrbot_root,
     check_dashboard,
-    get_astrbot_root,
 )
-from .plugin import PluginStatus, build_plug_list, get_git_repo, manage_plugin
+from .plugin import get_git_repo, manage_plugin, build_plug_list, PluginStatus
 from .version_comparator import VersionComparator
 
 __all__ = [
-    "PluginStatus",
-    "VersionComparator",
-    "build_plug_list",
+    "get_astrbot_root",
     "check_astrbot_root",
     "check_dashboard",
-    "get_astrbot_root",
     "get_git_repo",
     "manage_plugin",
+    "build_plug_list",
+    "VersionComparator",
+    "PluginStatus",
 ]

astrbot/cli/utils/basic.py

@@ -2,12 +2,9 @@ from pathlib import Path
 
 import click
 
-# Static assets bundled inside the installed wheel (built by hatch_build.py).
-_BUNDLED_DIST = Path(__file__).parent.parent.parent / "dashboard" / "dist"
-
 
 def check_astrbot_root(path: str | Path) -> bool:
-    """Check if the path is an AstrBot root directory"""
+    """检查路径是否为 AstrBot 根目录"""
     if not isinstance(path, Path):
         path = Path(path)
     if not path.exists() or not path.is_dir():
@@ -18,59 +15,54 @@ def check_astrbot_root(path: str | Path) -> bool:
 
 
 def get_astrbot_root() -> Path:
-    """Get the AstrBot root directory path"""
+    """获取Astrbot根目录路径"""
     return Path.cwd()
 
 
 async def check_dashboard(astrbot_root: Path) -> None:
-    """Check if the dashboard is installed"""
+    """检查是否安装了dashboard"""
+    from astrbot.core.utils.io import get_dashboard_version, download_dashboard
     from astrbot.core.config.default import VERSION
-    from astrbot.core.utils.io import download_dashboard, get_dashboard_version
-
     from .version_comparator import VersionComparator
 
-    # If the wheel ships bundled dashboard assets, no network download is needed.
-    if _BUNDLED_DIST.exists():
-        click.echo("Dashboard is bundled with the package – skipping download.")
-        return
-
     try:
         dashboard_version = await get_dashboard_version()
         match dashboard_version:
             case None:
-                click.echo("Dashboard is not installed")
+                click.echo("未安装管理面板")
                 if click.confirm(
-                    "Install dashboard?",
+                    "是否安装管理面板？",
                     default=True,
                     abort=True,
                 ):
-                    click.echo("Installing dashboard...")
+                    click.echo("正在安装管理面板...")
                     await download_dashboard(
                         path="data/dashboard.zip",
                         extract_path=str(astrbot_root),
                         version=f"v{VERSION}",
                         latest=False,
                     )
-                    click.echo("Dashboard installed successfully")
+                    click.echo("管理面板安装完成")
 
             case str():
                 if VersionComparator.compare_version(VERSION, dashboard_version) <= 0:
-                    click.echo("Dashboard is already up to date")
-                    return
-                try:
-                    version = dashboard_version.split("v")[1]
-                    click.echo(f"Dashboard version: {version}")
-                    await download_dashboard(
-                        path="data/dashboard.zip",
-                        extract_path=str(astrbot_root),
-                        version=f"v{VERSION}",
-                        latest=False,
-                    )
-                except Exception as e:
-                    click.echo(f"Failed to download dashboard: {e}")
+                    click.echo("管理面板已是最新版本")
                     return
+                else:
+                    try:
+                        version = dashboard_version.split("v")[1]
+                        click.echo(f"管理面板版本: {version}")
+                        await download_dashboard(
+                            path="data/dashboard.zip",
+                            extract_path=str(astrbot_root),
+                            version=f"v{VERSION}",
+                            latest=False,
+                        )
+                    except Exception as e:
+                        click.echo(f"下载管理面板失败: {e}")
+                        return
     except FileNotFoundError:
-        click.echo("Initializing dashboard directory...")
+        click.echo("初始化管理面板目录...")
         try:
             await download_dashboard(
                 path=str(astrbot_root / "dashboard.zip"),
@@ -78,7 +70,7 @@ async def check_dashboard(astrbot_root: Path) -> None:
                 version=f"v{VERSION}",
                 latest=False,
             )
-            click.echo("Dashboard initialized successfully")
+            click.echo("管理面板初始化完成")
         except Exception as e:
-            click.echo(f"Failed to download dashboard: {e}")
+            click.echo(f"下载管理面板失败: {e}")
             return

astrbot/cli/utils/plugin.py

@@ -1,63 +1,61 @@
 import shutil
 import tempfile
+
+import httpx
+import yaml
 from enum import Enum
 from io import BytesIO
 from pathlib import Path
 from zipfile import ZipFile
 
 import click
-import httpx
-import yaml
-
 from .version_comparator import VersionComparator
 
 
 class PluginStatus(str, Enum):
-    INSTALLED = "installed"
-    NEED_UPDATE = "needs-update"
-    NOT_INSTALLED = "not-installed"
-    NOT_PUBLISHED = "unpublished"
+    INSTALLED = "已安装"
+    NEED_UPDATE = "需更新"
+    NOT_INSTALLED = "未安装"
+    NOT_PUBLISHED = "未发布"
 
 
-def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
-    """Download code from a Git repository and extract to the specified path"""
+def get_git_repo(url: str, target_path: Path, proxy: str | None = None):
+    """从 Git 仓库下载代码并解压到指定路径"""
     temp_dir = Path(tempfile.mkdtemp())
     try:
-        # Parse repository info
+        # 解析仓库信息
         repo_namespace = url.split("/")[-2:]
         author = repo_namespace[0]
         repo = repo_namespace[1]
 
-        # Try to get the latest release
+        # 尝试获取最新的 release
         release_url = f"https://api.github.com/repos/{author}/{repo}/releases"
         try:
             with httpx.Client(
-                proxy=proxy if proxy else None,
-                follow_redirects=True,
+                proxy=proxy if proxy else None, follow_redirects=True
             ) as client:
                 resp = client.get(release_url)
                 resp.raise_for_status()
                 releases = resp.json()
 
                 if releases:
-                    # Use the latest release
+                    # 使用最新的 release
                     download_url = releases[0]["zipball_url"]
                 else:
-                    # No release found, use default branch
-                    click.echo(f"Downloading {author}/{repo} from default branch")
+                    # 没有 release，使用默认分支
+                    click.echo(f"正在从默认分支下载 {author}/{repo}")
                     download_url = f"https://github.com/{author}/{repo}/archive/refs/heads/master.zip"
         except Exception as e:
-            click.echo(f"Failed to get release info: {e}. Using provided URL directly")
+            click.echo(f"获取 release 信息失败: {e}，将直接使用提供的 URL")
             download_url = url
 
-        # Apply proxy
+        # 应用代理
         if proxy:
             download_url = f"{proxy}/{download_url}"
 
-        # Download and extract
+        # 下载并解压
         with httpx.Client(
-            proxy=proxy if proxy else None,
-            follow_redirects=True,
+            proxy=proxy if proxy else None, follow_redirects=True
         ) as client:
             resp = client.get(download_url)
             if (
@@ -65,7 +63,7 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
                 and "archive/refs/heads/master.zip" in download_url
             ):
                 alt_url = download_url.replace("master.zip", "main.zip")
-                click.echo("Branch 'master' not found, trying 'main' branch")
+                click.echo("master 分支不存在，尝试下载 main 分支")
                 resp = client.get(alt_url)
                 resp.raise_for_status()
             else:
@@ -84,48 +82,45 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
 
 
 def load_yaml_metadata(plugin_dir: Path) -> dict:
-    """Load plugin metadata from metadata.yaml file
+    """从 metadata.yaml 文件加载插件元数据
 
     Args:
-        plugin_dir: Plugin directory path
+        plugin_dir: 插件目录路径
 
     Returns:
-        dict: Dictionary containing metadata, or empty dict if loading fails
-
+        dict: 包含元数据的字典，如果读取失败则返回空字典
     """
     yaml_path = plugin_dir / "metadata.yaml"
     if yaml_path.exists():
         try:
             return yaml.safe_load(yaml_path.read_text(encoding="utf-8")) or {}
         except Exception as e:
-            click.echo(f"Failed to read {yaml_path}: {e}", err=True)
+            click.echo(f"读取 {yaml_path} 失败: {e}", err=True)
     return {}
 
 
 def build_plug_list(plugins_dir: Path) -> list:
-    """Build plugin list containing local and online plugin information
+    """构建插件列表，包含本地和在线插件信息
 
     Args:
-        plugins_dir (Path): Plugin directory path
+        plugins_dir (Path): 插件目录路径
 
     Returns:
-        list: List of dicts containing plugin information
-
+        list: 包含插件信息的字典列表
     """
-    # Get local plugin info
+    # 获取本地插件信息
     result = []
-    if plugins_dir.is_dir():
-        for plugin_dir in plugins_dir.iterdir():
-            if not plugin_dir.is_dir():
-                continue
+    if plugins_dir.exists():
+        for plugin_name in [d.name for d in plugins_dir.glob("*") if d.is_dir()]:
+            plugin_dir = plugins_dir / plugin_name
 
-            # Load metadata from metadata.yaml
+            # 从 metadata.yaml 加载元数据
             metadata = load_yaml_metadata(plugin_dir)
 
             if "desc" not in metadata and "description" in metadata:
                 metadata["desc"] = metadata["description"]
 
-            # If metadata loaded successfully, add to result list
+            # 如果成功加载元数据，添加到结果列表
             if metadata and all(
                 k in metadata for k in ["name", "desc", "version", "author", "repo"]
             ):
@@ -138,71 +133,73 @@ def build_plug_list(plugins_dir: Path) -> list:
                         "repo": str(metadata.get("repo", "")),
                         "status": PluginStatus.INSTALLED,
                         "local_path": str(plugin_dir),
-                    },
+                    }
                 )
 
-    # Get online plugin list
-    online_plugins_dict = {}
+    # 获取在线插件列表
+    online_plugins = []
     try:
         with httpx.Client() as client:
             resp = client.get("https://api.soulter.top/astrbot/plugins")
             resp.raise_for_status()
             data = resp.json()
             for plugin_id, plugin_info in data.items():
-                online_plugins_dict[str(plugin_id)] = {
-                    "name": str(plugin_id),
-                    "desc": str(plugin_info.get("desc", "")),
-                    "version": str(plugin_info.get("version", "")),
-                    "author": str(plugin_info.get("author", "")),
-                    "repo": str(plugin_info.get("repo", "")),
-                    "status": PluginStatus.NOT_INSTALLED,
-                    "local_path": None,
-                }
+                online_plugins.append(
+                    {
+                        "name": str(plugin_id),
+                        "desc": str(plugin_info.get("desc", "")),
+                        "version": str(plugin_info.get("version", "")),
+                        "author": str(plugin_info.get("author", "")),
+                        "repo": str(plugin_info.get("repo", "")),
+                        "status": PluginStatus.NOT_INSTALLED,
+                        "local_path": None,
+                    }
+                )
     except Exception as e:
-        click.echo(f"Failed to get online plugin list: {e}", err=True)
+        click.echo(f"获取在线插件列表失败: {e}", err=True)
 
-    # Compare with online plugins and update status
+    # 与在线插件比对，更新状态
+    online_plugin_names = {plugin["name"] for plugin in online_plugins}
     for local_plugin in result:
-        online_plugin = online_plugins_dict.pop(local_plugin["name"], None)
-        if online_plugin is None:
-            # Local plugin is not published online
-            local_plugin["status"] = PluginStatus.NOT_PUBLISHED
-            continue
-
-        if (
-            VersionComparator.compare_version(
-                local_plugin["version"],
-                online_plugin["version"],
+        if local_plugin["name"] in online_plugin_names:
+            # 查找对应的在线插件
+            online_plugin = next(
+                p for p in online_plugins if p["name"] == local_plugin["name"]
             )
-            < 0
-        ):
-            local_plugin["status"] = PluginStatus.NEED_UPDATE
+            if (
+                VersionComparator.compare_version(
+                    local_plugin["version"], online_plugin["version"]
+                )
+                < 0
+            ):
+                local_plugin["status"] = PluginStatus.NEED_UPDATE
+        else:
+            # 本地插件未在线上发布
+            local_plugin["status"] = PluginStatus.NOT_PUBLISHED
 
-    # Add uninstalled online plugins
-    result.extend(online_plugins_dict.values())
+    # 添加未安装的在线插件
+    for online_plugin in online_plugins:
+        if not any(plugin["name"] == online_plugin["name"] for plugin in result):
+            result.append(online_plugin)
 
     return result
 
 
 def manage_plugin(
-    plugin: dict,
-    plugins_dir: Path,
-    is_update: bool = False,
-    proxy: str | None = None,
+    plugin: dict, plugins_dir: Path, is_update: bool = False, proxy: str | None = None
 ) -> None:
-    """Install or update a plugin
+    """安装或更新插件
 
     Args:
-        plugin (dict): Plugin info dict
-        plugins_dir (Path): Plugins directory
-        is_update (bool, optional): Whether this is an update operation. Defaults to False
-        proxy (str, optional): Proxy server address
-
+        plugin (dict): 插件信息字典
+        plugins_dir (Path): 插件目录
+        is_update (bool, optional): 是否为更新操作. 默认为 False
+        proxy (str, optional): 代理服务器地址
     """
     plugin_name = plugin["name"]
     repo_url = plugin["repo"]
 
-    # If updating and local path exists, use it directly
+    # 如果是更新且有本地路径，直接使用本地路径
     if is_update and plugin.get("local_path"):
         target_path = Path(plugin["local_path"])
     else:
@@ -210,35 +207,31 @@ def manage_plugin(
 
     backup_path = Path(f"{target_path}_backup") if is_update else None
 
-    # Check if plugin exists
+    # 检查插件是否存在
     if is_update and not target_path.exists():
-        raise click.ClickException(
-            f"Plugin {plugin_name} is not installed and cannot be updated"
-        )
+        raise click.ClickException(f"插件 {plugin_name} 未安装，无法更新")
 
-    # Backup existing plugin
-    if is_update and backup_path is not None and backup_path.exists():
+    # 备份现有插件
+    if is_update and backup_path.exists():
         shutil.rmtree(backup_path)
-    if is_update and backup_path is not None:
+    if is_update:
         shutil.copytree(target_path, backup_path)
 
     try:
         click.echo(
-            f"{'Updating' if is_update else 'Downloading'} plugin {plugin_name} from {repo_url}...",
+            f"正在从 {repo_url} {'更新' if is_update else '下载'}插件 {plugin_name}..."
         )
         get_git_repo(repo_url, target_path, proxy)
 
-        # Update succeeded, delete backup
-        if is_update and backup_path is not None and backup_path.exists():
+        # 更新成功，删除备份
+        if is_update and backup_path.exists():
             shutil.rmtree(backup_path)
-        click.echo(
-            f"Plugin {plugin_name} {'updated' if is_update else 'installed'} successfully"
-        )
+        click.echo(f"插件 {plugin_name} {'更新' if is_update else '安装'}成功")
     except Exception as e:
         if target_path.exists():
             shutil.rmtree(target_path, ignore_errors=True)
-        if is_update and backup_path is not None and backup_path.exists():
+        if is_update and backup_path.exists():
             shutil.move(backup_path, target_path)
         raise click.ClickException(
-            f"Error {'updating' if is_update else 'installing'} plugin {plugin_name}: {e}",
+            f"{'更新' if is_update else '安装'}插件 {plugin_name} 时出错: {e}"
         )

astrbot/cli/utils/version_comparator.py

@@ -1,4 +1,6 @@
-"""Copied from astrbot.core.utils.version_comparator"""
+"""
+拷贝自 astrbot.core.utils.version_comparator
+"""
 
 import re
 
@@ -6,11 +8,11 @@ import re
 class VersionComparator:
     @staticmethod
     def compare_version(v1: str, v2: str) -> int:
-        """Compare version numbers according to Semver semantics. Supports version numbers with more than 3 digits and handles pre-release tags.
+        """根据 Semver 语义版本规范来比较版本号的大小。支持不仅局限于 3 个数字的版本号，并处理预发布标签。
 
-        Reference: https://semver.org/
+        参考: https://semver.org/lang/zh-CN/
 
-        Returns 1 if v1 > v2, -1 if v1 < v2, 0 if v1 == v2.
+        返回 1 表示 v1 > v2，返回 -1 表示 v1 < v2，返回 0 表示 v1 = v2。
         """
         v1 = v1.lower().replace("v", "")
         v2 = v2.lower().replace("v", "")
@@ -24,7 +26,7 @@ class VersionComparator:
                 return [], None
             major_minor_patch = match.group(1).split(".")
             prerelease = match.group(2)
-            # buildmetadata = match.group(3)  # Build metadata is ignored in comparison
+            # buildmetadata = match.group(3) # 构建元数据在比较时忽略
             parts = [int(x) for x in major_minor_patch]
             prerelease = VersionComparator._split_prerelease(prerelease)
             return parts, prerelease
@@ -32,7 +34,7 @@ class VersionComparator:
         v1_parts, v1_prerelease = split_version(v1)
         v2_parts, v2_prerelease = split_version(v2)
 
-        # Compare numeric parts
+        # 比较数字部分
         length = max(len(v1_parts), len(v2_parts))
         v1_parts.extend([0] * (length - len(v1_parts)))
         v2_parts.extend([0] * (length - len(v2_parts)))
@@ -40,15 +42,15 @@ class VersionComparator:
         for i in range(length):
             if v1_parts[i] > v2_parts[i]:
                 return 1
-            if v1_parts[i] < v2_parts[i]:
+            elif v1_parts[i] < v2_parts[i]:
                 return -1
 
-        # Compare pre-release tags
+        # 比较预发布标签
         if v1_prerelease is None and v2_prerelease is not None:
-            return 1  # Version without pre-release tag is higher than one with it
-        if v1_prerelease is not None and v2_prerelease is None:
-            return -1  # Version with pre-release tag is lower than one without it
-        if v1_prerelease is not None and v2_prerelease is not None:
+            return 1  # 没有预发布标签的版本高于有预发布标签的版本
+        elif v1_prerelease is not None and v2_prerelease is None:
+            return -1  # 有预发布标签的版本低于没有预发布标签的版本
+        elif v1_prerelease is not None and v2_prerelease is not None:
             len_pre = max(len(v1_prerelease), len(v2_prerelease))
             for i in range(len_pre):
                 p1 = v1_prerelease[i] if i < len(v1_prerelease) else None
@@ -56,25 +58,25 @@ class VersionComparator:
 
                 if p1 is None and p2 is not None:
                     return -1
-                if p1 is not None and p2 is None:
+                elif p1 is not None and p2 is None:
                     return 1
-                if isinstance(p1, int) and isinstance(p2, str):
+                elif isinstance(p1, int) and isinstance(p2, str):
                     return -1
-                if isinstance(p1, str) and isinstance(p2, int):
+                elif isinstance(p1, str) and isinstance(p2, int):
                     return 1
-                if isinstance(p1, int) and isinstance(p2, int):
+                elif isinstance(p1, int) and isinstance(p2, int):
                     if p1 > p2:
                         return 1
-                    if p1 < p2:
+                    elif p1 < p2:
                         return -1
                 elif isinstance(p1, str) and isinstance(p2, str):
                     if p1 > p2:
                         return 1
-                    if p1 < p2:
+                    elif p1 < p2:
                         return -1
-            return 0  # Pre-release tags are identical
+            return 0  # 预发布标签完全相同
 
-        return 0  # Both numeric parts and pre-release tags are equal
+        return 0  # 数字部分和预发布标签都相同
 
     @staticmethod
     def _split_prerelease(prerelease):

astrbot/core/__init__.py

@@ -1,41 +1,23 @@
 import os
-
-from astrbot.core.config import AstrBotConfig
-from astrbot.core.config.default import DB_PATH
-from astrbot.core.db.sqlite import SQLiteDatabase
-from astrbot.core.file_token_service import FileTokenService
-from astrbot.core.utils.pip_installer import (
-    DependencyConflictError as DependencyConflictError,
-)
-from astrbot.core.utils.pip_installer import (
-    PipInstaller,
-)
-from astrbot.core.utils.requirements_utils import (
-    RequirementsPrecheckFailed as RequirementsPrecheckFailed,
-)
-from astrbot.core.utils.requirements_utils import (
-    find_missing_requirements as find_missing_requirements,
-)
-from astrbot.core.utils.requirements_utils import (
-    find_missing_requirements_or_raise as find_missing_requirements_or_raise,
-)
-from astrbot.core.utils.shared_preferences import SharedPreferences
+from .log import LogManager, LogBroker  # noqa
 from astrbot.core.utils.t2i.renderer import HtmlRenderer
-
-from .log import LogBroker, LogManager  # noqa
+from astrbot.core.utils.shared_preferences import SharedPreferences
+from astrbot.core.utils.pip_installer import PipInstaller
+from astrbot.core.db.sqlite import SQLiteDatabase
+from astrbot.core.config.default import DB_PATH
+from astrbot.core.config import AstrBotConfig
+from astrbot.core.file_token_service import FileTokenService
 from .utils.astrbot_path import get_astrbot_data_path
 
 # 初始化数据存储文件夹
 os.makedirs(get_astrbot_data_path(), exist_ok=True)
 
-DEMO_MODE = os.getenv("DEMO_MODE", "False").strip().lower() in ("true", "1", "t")
+DEMO_MODE = os.getenv("DEMO_MODE", False)
 
 astrbot_config = AstrBotConfig()
 t2i_base_url = astrbot_config.get("t2i_endpoint", "https://t2i.soulter.top/text2img")
 html_renderer = HtmlRenderer(t2i_base_url)
 logger = LogManager.GetLogger(log_name="astrbot")
-LogManager.configure_logger(logger, astrbot_config)
-LogManager.configure_trace_logger(astrbot_config)
 db_helper = SQLiteDatabase(DB_PATH)
 # 简单的偏好设置存储, 这里后续应该存储到数据库中, 一些部分可以存储到配置中
 sp = SharedPreferences(db_helper=db_helper)

astrbot/core/agent/agent.py

@@ -1,9 +1,8 @@
 from dataclasses import dataclass
-from typing import Any, Generic
-
-from .hooks import BaseAgentRunHooks
-from .run_context import TContext
 from .tool import FunctionTool
+from typing import Generic
+from .run_context import TContext
+from .hooks import BaseAgentRunHooks
 
 
 @dataclass
@@ -12,4 +11,3 @@ class Agent(Generic[TContext]):
     instructions: str | None = None
     tools: list[str | FunctionTool] | None = None
     run_hooks: BaseAgentRunHooks[TContext] | None = None
-    begin_dialogs: list[Any] | None = None

astrbot/core/agent/context/compressor.py

@@ -1,310 +0,0 @@
-from typing import TYPE_CHECKING, Protocol, runtime_checkable
-
-from ...provider.modalities import (
-    log_context_sanitize_stats,
-    sanitize_contexts_by_modalities,
-)
-from ..message import Message
-from .token_counter import EstimateTokenCounter, TokenCounter
-
-if TYPE_CHECKING:
-    from astrbot import logger
-else:
-    try:
-        from astrbot import logger
-    except ImportError:
-        import logging
-
-        logger = logging.getLogger("astrbot")
-
-if TYPE_CHECKING:
-    from astrbot.core.provider.provider import Provider
-
-from ..context.truncator import ContextTruncator
-
-
-@runtime_checkable
-class ContextCompressor(Protocol):
-    """
-    Protocol for context compressors.
-    Provides an interface for compressing message lists.
-    """
-
-    def should_compress(
-        self, messages: list[Message], current_tokens: int, max_tokens: int
-    ) -> bool:
-        """Check if compression is needed.
-
-        Args:
-            messages: The message list to evaluate.
-            current_tokens: The current token count.
-            max_tokens: The maximum allowed tokens for the model.
-
-        Returns:
-            True if compression is needed, False otherwise.
-        """
-        ...
-
-    async def __call__(self, messages: list[Message]) -> list[Message]:
-        """Compress the message list.
-
-        Args:
-            messages: The original message list.
-
-        Returns:
-            The compressed message list.
-        """
-        ...
-
-
-class TruncateByTurnsCompressor:
-    """Truncate by turns compressor implementation.
-    Truncates the message list by removing older turns.
-    """
-
-    def __init__(
-        self, truncate_turns: int = 1, compression_threshold: float = 0.82
-    ) -> None:
-        """Initialize the truncate by turns compressor.
-
-        Args:
-            truncate_turns: The number of turns to remove when truncating (default: 1).
-            compression_threshold: The compression trigger threshold (default: 0.82).
-        """
-        self.truncate_turns = truncate_turns
-        self.compression_threshold = compression_threshold
-
-    def should_compress(
-        self, messages: list[Message], current_tokens: int, max_tokens: int
-    ) -> bool:
-        """Check if compression is needed.
-
-        Args:
-            messages: The message list to evaluate.
-            current_tokens: The current token count.
-            max_tokens: The maximum allowed tokens.
-
-        Returns:
-            True if compression is needed, False otherwise.
-        """
-        if max_tokens <= 0 or current_tokens <= 0:
-            return False
-        usage_rate = current_tokens / max_tokens
-        return usage_rate > self.compression_threshold
-
-    async def __call__(self, messages: list[Message]) -> list[Message]:
-        truncator = ContextTruncator()
-        truncated_messages = truncator.truncate_by_dropping_oldest_turns(
-            messages,
-            drop_turns=self.truncate_turns,
-        )
-        return truncated_messages
-
-
-def _extract_system_messages(messages: list[Message]) -> list[Message]:
-    """Return the leading system messages from a message list."""
-    result = []
-    for msg in messages:
-        if msg.role == "system":
-            result.append(msg)
-        else:
-            break
-    return result
-
-
-class LLMSummaryCompressor:
-    """LLM-based summary compressor.
-    Uses LLM to summarize old conversation history while keeping a recent token
-    budget as exact context.
-    """
-
-    TASK_CONTINUATION_INSTRUCTION = (
-        "If a task appears to be in progress, end the summary with the latest "
-        "known result and the concrete next step to continue the task."
-    )
-
-    def __init__(
-        self,
-        provider: "Provider",
-        keep_recent_ratio: float = 0.15,
-        instruction_text: str | None = None,
-        compression_threshold: float = 0.82,
-        token_counter: TokenCounter | None = None,
-    ) -> None:
-        """Initialize the LLM summary compressor.
-
-        Args:
-            provider: The LLM provider instance.
-            keep_recent_ratio: Ratio of current context tokens to keep as recent
-                exact context. Clamped to 0-0.3.
-            instruction_text: Custom instruction for summary generation.
-            compression_threshold: The compression trigger threshold (default: 0.82).
-        """
-        self.provider = provider
-        self.keep_recent_ratio = min(max(float(keep_recent_ratio), 0.0), 0.3)
-        self.compression_threshold = compression_threshold
-        self.token_counter = token_counter or EstimateTokenCounter()
-
-        self.instruction_text = instruction_text or (
-            "Based on our full conversation history, produce a concise summary of key takeaways and/or project progress.\n"
-            "The primary goal of this summary is to enable seamless continuation of the work that follows.\n"
-            "1. Systematically cover all core topics discussed and the final conclusion/outcome for each; clearly highlight the latest primary focus.\n"
-            "2. If any tools were used, summarize tool usage (total call count) and extract the most valuable insights from tool outputs.\n"
-            "3. If any materials (files, documents, code, references) were read during the conversation that may be helpful for subsequent work, list each one with its scope and path.\n"
-            "4. If there was an initial user goal, state it first and describe the current progress/status.\n"
-            "5. Write the summary in the user's language.\n"
-        )
-
-    def should_compress(
-        self, messages: list[Message], current_tokens: int, max_tokens: int
-    ) -> bool:
-        """Check if compression is needed.
-
-        Args:
-            messages: The message list to evaluate.
-            current_tokens: The current token count.
-            max_tokens: The maximum allowed tokens.
-
-        Returns:
-            True if compression is needed, False otherwise.
-        """
-        if max_tokens <= 0 or current_tokens <= 0:
-            return False
-        usage_rate = current_tokens / max_tokens
-        return usage_rate > self.compression_threshold
-
-    def _split_recent_rounds_by_token_ratio(
-        self,
-        rounds: list[list[Message]],
-        total_tokens: int,
-    ) -> tuple[list[list[Message]], list[list[Message]]]:
-        """Split rounds into summarised history and exact recent context.
-
-        The token budget is computed from the current context token count and
-        `keep_recent_ratio`, then floored by `int(...)`. Mapping that budget to
-        rounds is round-granular: a positive ratio always preserves the latest
-        whole round, even if that round itself exceeds the budget. Earlier
-        rounds are added only while the accumulated recent rounds stay within
-        the budget. No round is split.
-        """
-        if not rounds or self.keep_recent_ratio <= 0 or total_tokens <= 0:
-            return rounds, []
-
-        budget = max(1, int(total_tokens * self.keep_recent_ratio))
-        used = 0
-        recent_start = len(rounds)
-
-        for idx in range(len(rounds) - 1, -1, -1):
-            round_tokens = self.token_counter.count_tokens(rounds[idx])
-            if used > 0 and used + round_tokens > budget:
-                break
-            used += round_tokens
-            recent_start = idx
-
-        return rounds[:recent_start], rounds[recent_start:]
-
-    async def __call__(self, messages: list[Message]) -> list[Message]:
-        """Use LLM to generate a summary of the conversation history.
-
-        Uses round-based splitting to preserve user-assistant turn boundaries.
-        On LLM failure, returns the original messages unchanged (caller should
-        fall back to truncation).
-        """
-        from .round_utils import split_into_rounds
-
-        rounds = split_into_rounds(messages)
-        message_rounds = [
-            [seg for seg in rnd if isinstance(seg, Message)] for rnd in rounds
-        ]
-        total_tokens = self.token_counter.count_tokens(messages)
-        old_rounds, recent_rounds = self._split_recent_rounds_by_token_ratio(
-            message_rounds,
-            total_tokens,
-        )
-
-        # The latest user message is the active request. Keep its whole round
-        # exact even when the ratio is 0 or the ratio budget would otherwise
-        # summarize every round.
-        if messages and messages[-1].role == "user" and old_rounds:
-            latest_old_round = old_rounds[-1]
-            if latest_old_round and latest_old_round[-1] is messages[-1]:
-                old_rounds = old_rounds[:-1]
-                recent_rounds = [latest_old_round, *recent_rounds]
-
-        if not old_rounds:
-            if recent_rounds and messages and messages[-1].role == "user":
-                return messages
-            old_rounds = message_rounds
-            recent_rounds = []
-
-        summary_contexts = [msg for rnd in old_rounds for msg in rnd]
-        if not any(msg.role != "system" for msg in summary_contexts):
-            if recent_rounds and messages and messages[-1].role == "user":
-                return messages
-            old_rounds = message_rounds
-            recent_rounds = []
-            summary_contexts = [msg for rnd in old_rounds for msg in rnd]
-            if not any(msg.role != "system" for msg in summary_contexts):
-                return messages
-
-        if summary_contexts[-1].role != "assistant":
-            summary_contexts.append(
-                Message(
-                    role="assistant",
-                    content="Acknowledged.",
-                )
-            )
-        summary_contexts.append(
-            Message(
-                role="user",
-                content=(
-                    "Generate a summary of our previous conversation history.\n"
-                    f"<extra_instruction>\n{self.instruction_text}\n\n"
-                    f"{self.TASK_CONTINUATION_INSTRUCTION}</extra_instruction>\n"
-                    "Respond ONLY with the summary content, without any additional text or formatting."
-                ),
-            )
-        )
-        sanitized_summary_contexts, sanitize_stats = sanitize_contexts_by_modalities(
-            summary_contexts,
-            self.provider.provider_config.get("modalities", None),
-        )
-        log_context_sanitize_stats(sanitize_stats)
-
-        # Generate summary
-        try:
-            response = await self.provider.text_chat(
-                contexts=sanitized_summary_contexts,
-            )
-            summary_content = (response.completion_text or "").strip()
-        except Exception as e:
-            logger.error(f"Failed to generate summary: {e}")
-            return messages
-
-        if not summary_content:
-            logger.warning("LLM context compression returned an empty summary.")
-            return messages
-
-        # Build result: system messages + summary pair + recent rounds
-        result = _extract_system_messages(messages)
-
-        result.append(
-            Message(
-                role="user",
-                content=f"Our previous history conversation summary: {summary_content}",
-            )
-        )
-        result.append(
-            Message(
-                role="assistant",
-                content="Acknowledged the summary of our previous conversation history.",
-            )
-        )
-
-        # Flatten recent rounds back to message list
-        for rnd in recent_rounds:
-            for seg in rnd:
-                if isinstance(seg, Message):
-                    result.append(seg)
-
-        return result

astrbot/core/agent/context/config.py

@@ -1,35 +0,0 @@
-from dataclasses import dataclass
-from typing import TYPE_CHECKING
-
-from .compressor import ContextCompressor
-from .token_counter import TokenCounter
-
-if TYPE_CHECKING:
-    from astrbot.core.provider.provider import Provider
-
-
-@dataclass
-class ContextConfig:
-    """Context configuration class."""
-
-    max_context_tokens: int = 0
-    """Maximum number of context tokens. <= 0 means no limit."""
-    enforce_max_turns: int = -1  # -1 means no limit
-    """Maximum number of conversation turns to keep. -1 means no limit. Executed before compression."""
-    truncate_turns: int = 1
-    """Number of conversation turns to discard at once when truncation is triggered.
-    Two processes will use this value:
-
-    1. Enforce max turns truncation.
-    2. Truncation by turns compression strategy.
-    """
-    llm_compress_instruction: str | None = None
-    """Instruction prompt for LLM-based compression."""
-    llm_compress_keep_recent_ratio: float = 0.15
-    """Percent of current context tokens to keep as exact recent context during LLM-based compression."""
-    llm_compress_provider: "Provider | None" = None
-    """LLM provider used for compression tasks. If None, truncation strategy is used."""
-    custom_token_counter: TokenCounter | None = None
-    """Custom token counting method. If None, the default method is used."""
-    custom_compressor: ContextCompressor | None = None
-    """Custom context compression method. If None, the default method is used."""

astrbot/core/agent/context/manager.py

@@ -1,121 +0,0 @@
-from astrbot import logger
-
-from ..message import Message
-from .compressor import LLMSummaryCompressor, TruncateByTurnsCompressor
-from .config import ContextConfig
-from .token_counter import EstimateTokenCounter
-from .truncator import ContextTruncator
-
-
-class ContextManager:
-    """Context compression manager."""
-
-    def __init__(
-        self,
-        config: ContextConfig,
-    ) -> None:
-        """Initialize the context manager.
-
-        There are two strategies to handle context limit reached:
-        1. Truncate by turns: remove older messages by turns.
-        2. LLM-based compression: use LLM to summarize old messages.
-
-        Args:
-            config: The context configuration.
-        """
-        self.config = config
-
-        self.token_counter = config.custom_token_counter or EstimateTokenCounter()
-        self.truncator = ContextTruncator()
-
-        if config.custom_compressor:
-            self.compressor = config.custom_compressor
-        elif config.llm_compress_provider:
-            self.compressor = LLMSummaryCompressor(
-                provider=config.llm_compress_provider,
-                keep_recent_ratio=config.llm_compress_keep_recent_ratio,
-                instruction_text=config.llm_compress_instruction,
-                token_counter=self.token_counter,
-            )
-        else:
-            self.compressor = TruncateByTurnsCompressor(
-                truncate_turns=config.truncate_turns
-            )
-
-    async def process(
-        self, messages: list[Message], trusted_token_usage: int = 0
-    ) -> list[Message]:
-        """Process the messages.
-
-        Args:
-            messages: The original message list.
-
-        Returns:
-            The processed message list.
-        """
-        try:
-            result = messages
-
-            # 1. 基于轮次的截断 (Enforce max turns)
-            if self.config.enforce_max_turns != -1:
-                result = self.truncator.truncate_by_turns(
-                    result,
-                    keep_most_recent_turns=self.config.enforce_max_turns,
-                    drop_turns=self.config.truncate_turns,
-                )
-
-            # 2. 基于 token 的压缩
-            if self.config.max_context_tokens > 0:
-                total_tokens = self.token_counter.count_tokens(
-                    result, trusted_token_usage
-                )
-
-                if self.compressor.should_compress(
-                    result, total_tokens, self.config.max_context_tokens
-                ):
-                    result = await self._run_compression(result, total_tokens)
-
-            return result
-        except Exception as e:
-            logger.error(f"Error during context processing: {e}", exc_info=True)
-            return messages
-
-    async def _run_compression(
-        self, messages: list[Message], prev_tokens: int
-    ) -> list[Message]:
-        """
-        Compress/truncate the messages.
-
-        Args:
-            messages: The original message list.
-            prev_tokens: The token count before compression.
-
-        Returns:
-            The compressed/truncated message list.
-        """
-        logger.debug("Compress triggered, starting compression...")
-
-        messages = await self.compressor(messages)
-
-        # double check
-        tokens_after_summary = self.token_counter.count_tokens(messages)
-
-        # calculate compress rate
-        compress_rate = (tokens_after_summary / self.config.max_context_tokens) * 100
-        logger.info(
-            f"Compress completed."
-            f" {prev_tokens} -> {tokens_after_summary} tokens,"
-            f" compression rate: {compress_rate:.2f}%.",
-        )
-
-        # last check
-        if self.compressor.should_compress(
-            messages, tokens_after_summary, self.config.max_context_tokens
-        ):
-            logger.info(
-                "Context still exceeds max tokens after compression, applying halving truncation..."
-            )
-            # still need compress, truncate by half
-            messages = self.truncator.truncate_by_halving(messages)
-
-        return messages

astrbot/core/agent/context/round_utils.py

@@ -1,72 +0,0 @@
-"""Round-based utilities shared by LTM compaction and LLMSummaryCompressor."""
-
-import json
-from collections.abc import Sequence
-from typing import Any
-
-from ..message import ContentPart, Message, ToolCall
-
-RoundSegment = dict[str, Any] | Message
-
-
-def _segment_role(seg: RoundSegment) -> str:
-    if isinstance(seg, Message):
-        return seg.role
-    return str(seg.get("role", "?"))
-
-
-def split_into_rounds(
-    contexts: Sequence[RoundSegment],
-) -> list[list[RoundSegment]]:
-    """Split a flat contexts list into logical rounds.
-
-    A round begins at a ``user`` segment and includes all subsequent
-    ``assistant`` / ``tool`` segments until the next ``user`` segment.
-    """
-    rounds: list[list[RoundSegment]] = []
-    current: list[RoundSegment] = []
-    for seg in contexts:
-        if _segment_role(seg) == "user" and current:
-            rounds.append(current)
-            current = []
-        current.append(seg)
-    if current:
-        rounds.append(current)
-    return rounds
-
-
-def _content_to_text(content: Any) -> str:
-    if isinstance(content, list):
-        normalized = [
-            part.model_dump_for_context() if isinstance(part, ContentPart) else part
-            for part in content
-        ]
-        return json.dumps(normalized, ensure_ascii=False)
-    if isinstance(content, ContentPart):
-        return json.dumps(content.model_dump_for_context(), ensure_ascii=False)
-    return str(content or "")
-
-
-def _segment_content(seg: RoundSegment) -> Any:
-    if isinstance(seg, Message):
-        if seg.content is not None:
-            return seg.content
-        if seg.tool_calls:
-            return [
-                tc.model_dump() if isinstance(tc, ToolCall) else tc
-                for tc in seg.tool_calls
-            ]
-        return ""
-    return seg.get("content") or seg.get("tool_calls") or ""
-
-
-def rounds_to_text(rounds: list[list[RoundSegment]]) -> str:
-    """Render rounds into a plain-text string for LLM summarisation."""
-    lines: list[str] = []
-    for i, rnd in enumerate(rounds, 1):
-        lines.append(f"--- Round {i} ---")
-        for seg in rnd:
-            role = _segment_role(seg)
-            content = _content_to_text(_segment_content(seg))
-            lines.append(f"[{role}] {content}")
-    return "\n".join(lines)

astrbot/core/agent/context/token_counter.py

@@ -1,78 +0,0 @@
-import json
-from typing import Protocol, runtime_checkable
-
-from ..message import AudioURLPart, ImageURLPart, Message, TextPart, ThinkPart
-
-
-@runtime_checkable
-class TokenCounter(Protocol):
-    """
-    Protocol for token counters.
-    Provides an interface for counting tokens in message lists.
-    """
-
-    def count_tokens(
-        self, messages: list[Message], trusted_token_usage: int = 0
-    ) -> int:
-        """Count the total tokens in the message list.
-
-        Args:
-            messages: The message list.
-            trusted_token_usage: The total token usage that LLM API returned.
-                For some cases, this value is more accurate.
-                But some API does not return it, so the value defaults to 0.
-
-        Returns:
-            The total token count.
-        """
-        ...
-
-
-# 图片/音频 token 开销估算值，参考 OpenAI vision pricing:
-# low-res ~85 tokens, high-res ~170 per 512px tile, 通常几百到上千。
-# 这里取一个保守中位数，宁可偏高触发压缩也不要偏低导致 API 报错。
-IMAGE_TOKEN_ESTIMATE = 765
-AUDIO_TOKEN_ESTIMATE = 500
-
-
-class EstimateTokenCounter:
-    """Estimate token counter implementation.
-    Provides a simple estimation of token count based on character types.
-
-    Supports multimodal content: images, audio, and thinking parts
-    are all counted so that the context compressor can trigger in time.
-    """
-
-    def count_tokens(
-        self, messages: list[Message], trusted_token_usage: int = 0
-    ) -> int:
-        if trusted_token_usage > 0:
-            return trusted_token_usage
-
-        total = 0
-        for msg in messages:
-            content = msg.content
-            if isinstance(content, str):
-                total += self._estimate_tokens(content)
-            elif isinstance(content, list):
-                for part in content:
-                    if isinstance(part, TextPart):
-                        total += self._estimate_tokens(part.text)
-                    elif isinstance(part, ThinkPart):
-                        total += self._estimate_tokens(part.think)
-                    elif isinstance(part, ImageURLPart):
-                        total += IMAGE_TOKEN_ESTIMATE
-                    elif isinstance(part, AudioURLPart):
-                        total += AUDIO_TOKEN_ESTIMATE
-
-            if msg.tool_calls:
-                for tc in msg.tool_calls:
-                    tc_str = json.dumps(tc if isinstance(tc, dict) else tc.model_dump())
-                    total += self._estimate_tokens(tc_str)
-
-        return total
-
-    def _estimate_tokens(self, text: str) -> int:
-        chinese_count = len([c for c in text if "\u4e00" <= c <= "\u9fff"])
-        other_count = len(text) - chinese_count
-        return int(chinese_count * 0.6 + other_count * 0.3)

astrbot/core/agent/context/truncator.py

@@ -1,202 +0,0 @@
-from ..message import Message
-
-
-class ContextTruncator:
-    """Context truncator."""
-
-    def _has_tool_calls(self, message: Message) -> bool:
-        """Check if a message contains tool calls."""
-        return (
-            message.role == "assistant"
-            and message.tool_calls is not None
-            and len(message.tool_calls) > 0
-        )
-
-    @staticmethod
-    def _split_system_rest(
-        messages: list[Message],
-    ) -> tuple[list[Message], list[Message]]:
-        """Split messages into system messages and the rest.
-
-        Returns:
-            tuple: (system_messages, non_system_messages)
-        """
-        first_non_system = 0
-        for i, msg in enumerate(messages):
-            if msg.role != "system":
-                first_non_system = i
-                break
-        return messages[:first_non_system], messages[first_non_system:]
-
-    @staticmethod
-    def _ensure_user_message(
-        system_messages: list[Message],
-        truncated: list[Message],
-        original_messages: list[Message],
-    ) -> list[Message]:
-        """Ensure the result always contains the first user message right after
-        system messages. This is required by many LLM APIs (e.g. Zhipu) that
-        mandate a ``user`` message immediately following the ``system`` message.
-        """
-        if truncated and truncated[0].role == "user":
-            return system_messages + truncated
-
-        # Locate the first user message from the *original* list.
-        first_user = next((m for m in original_messages if m.role == "user"), None)
-        if first_user is None:
-            return system_messages + truncated
-
-        return system_messages + [first_user] + truncated
-
-    def fix_messages(self, messages: list[Message]) -> list[Message]:
-        """Fix the message list to ensure the validity of tool call and tool response pairing.
-
-        This method ensures that:
-        1. Each `tool` message is preceded by an `assistant` message containing `tool_calls`.
-        2. Each `assistant` message containing `tool_calls` is followed by corresponding `
-
-        This is a requirement of the OpenAI Chat Completions API specification (Gemini enforces this strictly).
-        """
-        if not messages:
-            return messages
-
-        fixed_messages: list[Message] = []
-        pending_assistant: Message | None = None
-        pending_tools: list[Message] = []
-
-        def flush_pending_if_valid() -> None:
-            nonlocal pending_assistant, pending_tools
-            if pending_assistant is not None and pending_tools:
-                fixed_messages.append(pending_assistant)
-                fixed_messages.extend(pending_tools)
-            pending_assistant = None
-            pending_tools = []
-
-        for msg in messages:
-            if msg.role == "tool":
-                # Only record tool responses when there is a pending assistant(tool_calls)
-                if pending_assistant is not None:
-                    pending_tools.append(msg)
-                # Isolated tool messages without a preceding assistant(tool_calls) are ignored
-                continue
-
-            if self._has_tool_calls(msg):
-                # When encountering a new assistant(tool_calls), first process the old pending chain
-                flush_pending_if_valid()
-                pending_assistant = msg
-                continue
-
-            # Non-tool messages that do not contain tool_calls will break the pending chain.
-            # Flush any pending chain first, then append the current message normally.
-            flush_pending_if_valid()
-            fixed_messages.append(msg)
-
-        # Flush the last pending chain at the end,
-        # ensuring that any remaining valid assistant(tool_calls) and its tools are included in the final list.
-        flush_pending_if_valid()
-
-        return fixed_messages
-
-    def truncate_by_turns(
-        self,
-        messages: list[Message],
-        keep_most_recent_turns: int,
-        drop_turns: int = 1,
-    ) -> list[Message]:
-        """
-        Turn-based truncation strategy, which drops the oldest turns while keeping the most recent N turns.
-        A turn consists of a user message and an assistant message.
-        This method ensures that the truncated context list conforms to OpenAI's context format.
-
-        Args:
-            messages: The original list of messages in the context.
-            keep_most_recent_turns: The number of most recent turns to keep. If set to -1, it means keeping all turns (no truncation).
-            drop_turns: The number of turns to drop from the beginning.
-
-        Returns:
-            The truncated list of messages.
-        """
-        if keep_most_recent_turns == -1:
-            return messages
-
-        system_messages, non_system_messages = self._split_system_rest(messages)
-
-        if len(non_system_messages) // 2 <= keep_most_recent_turns:
-            return messages
-
-        num_to_keep = keep_most_recent_turns - drop_turns + 1
-        if num_to_keep <= 0:
-            truncated_contexts = []
-        else:
-            truncated_contexts = non_system_messages[-num_to_keep * 2 :]
-
-        # Find the first user message
-        index = next(
-            (i for i, item in enumerate(truncated_contexts) if item.role == "user"),
-            None,
-        )
-        if index is not None and index > 0:
-            truncated_contexts = truncated_contexts[index:]
-
-        result = self._ensure_user_message(
-            system_messages, truncated_contexts, messages
-        )
-        return self.fix_messages(result)
-
-    def truncate_by_dropping_oldest_turns(
-        self,
-        messages: list[Message],
-        drop_turns: int = 1,
-    ) -> list[Message]:
-        """Drop the oldest N turns, regardless of the number of turns to keep."""
-        if drop_turns <= 0:
-            return messages
-
-        system_messages, non_system_messages = self._split_system_rest(messages)
-
-        if len(non_system_messages) // 2 <= drop_turns:
-            truncated_non_system = []
-        else:
-            truncated_non_system = non_system_messages[drop_turns * 2 :]
-
-        # Find the first user message
-        index = next(
-            (i for i, item in enumerate(truncated_non_system) if item.role == "user"),
-            None,
-        )
-        if index is not None:
-            truncated_non_system = truncated_non_system[index:]
-
-        result = self._ensure_user_message(
-            system_messages, truncated_non_system, messages
-        )
-        return self.fix_messages(result)
-
-    def truncate_by_halving(
-        self,
-        messages: list[Message],
-    ) -> list[Message]:
-        """Halve the number of messages, keeping the most recent ones."""
-        if len(messages) <= 2:
-            return messages
-
-        system_messages, non_system_messages = self._split_system_rest(messages)
-
-        messages_to_delete = len(non_system_messages) // 2
-        if messages_to_delete == 0:
-            return messages
-
-        truncated_non_system = non_system_messages[messages_to_delete:]
-
-        # Find the first user message
-        index = next(
-            (i for i, item in enumerate(truncated_non_system) if item.role == "user"),
-            None,
-        )
-        if index is not None:
-            truncated_non_system = truncated_non_system[index:]
-
-        result = self._ensure_user_message(
-            system_messages, truncated_non_system, messages
-        )
-        return self.fix_messages(result)

astrbot/core/agent/handoff.py

@@ -1,40 +1,23 @@
 from typing import Generic
-
+from .tool import FunctionTool
 from .agent import Agent
 from .run_context import TContext
-from .tool import FunctionTool
 
 
 class HandoffTool(FunctionTool, Generic[TContext]):
     """Handoff tool for delegating tasks to another agent."""
 
     def __init__(
-        self,
-        agent: Agent[TContext],
-        parameters: dict | None = None,
-        tool_description: str | None = None,
-        **kwargs,
-    ) -> None:
-        # Avoid passing duplicate `description` to the FunctionTool dataclass.
-        # Some call sites (e.g. SubAgentOrchestrator) pass `description` via kwargs
-        # to override what the main agent sees, while we also compute a default
-        # description here.
-        # `tool_description` is the public description shown to the main LLM.
-        # Keep a separate kwarg to avoid conflicting with FunctionTool's `description`.
-        description = tool_description or self.default_description(agent.name)
+        self, agent: Agent[TContext], parameters: dict | None = None, **kwargs
+    ):
+        self.agent = agent
         super().__init__(
             name=f"transfer_to_{agent.name}",
             parameters=parameters or self.default_parameters(),
-            description=description,
+            description=agent.instructions or self.default_description(agent.name),
             **kwargs,
         )
 
-        # Optional provider override for this subagent. When set, the handoff
-        # execution will use this chat provider id instead of the global/default.
-        self.provider_id: str | None = None
-        # Note: Must assign after super().__init__() to prevent parent class from overriding this attribute
-        self.agent = agent
-
     def default_parameters(self) -> dict:
         return {
             "type": "object",
@@ -43,22 +26,9 @@ class HandoffTool(FunctionTool, Generic[TContext]):
                     "type": "string",
                     "description": "The input to be handed off to another agent. This should be a clear and concise request or task.",
                 },
-                "image_urls": {
-                    "type": "array",
-                    "items": {"type": "string"},
-                    "description": "Optional: An array of image sources (public HTTP URLs or local file paths) used as references in multimodal tasks such as video generation.",
-                },
-                "background_task": {
-                    "type": "boolean",
-                    "description": (
-                        "Defaults to false. "
-                        "Set to true if the task may take noticeable time, involves external tools, or the user does not need to wait. "
-                        "Use false only for quick, immediate tasks."
-                    ),
-                },
             },
         }
 
     def default_description(self, agent_name: str | None) -> str:
         agent_name = agent_name or "another"
-        return f"Delegate tasks to {agent_name} agent to handle the request."
+        return f"Delegate tasks to {self.name} agent to handle the request."

astrbot/core/agent/hooks.py

@@ -1,30 +1,27 @@
-from typing import Generic
-
 import mcp
-
-from astrbot.core.agent.tool import FunctionTool
-from astrbot.core.provider.entities import LLMResponse
-
+from dataclasses import dataclass
 from .run_context import ContextWrapper, TContext
+from typing import Generic
+from astrbot.core.provider.entities import LLMResponse
+from astrbot.core.agent.tool import FunctionTool
 
 
+@dataclass
 class BaseAgentRunHooks(Generic[TContext]):
-    async def on_agent_begin(self, run_context: ContextWrapper[TContext]) -> None: ...
+    async def on_agent_begin(self, run_context: ContextWrapper[TContext]): ...
     async def on_tool_start(
         self,
         run_context: ContextWrapper[TContext],
         tool: FunctionTool,
         tool_args: dict | None,
-    ) -> None: ...
+    ): ...
     async def on_tool_end(
         self,
         run_context: ContextWrapper[TContext],
         tool: FunctionTool,
         tool_args: dict | None,
         tool_result: mcp.types.CallToolResult | None,
-    ) -> None: ...
+    ): ...
     async def on_agent_done(
-        self,
-        run_context: ContextWrapper[TContext],
-        llm_response: LLMResponse,
-    ) -> None: ...
+        self, run_context: ContextWrapper[TContext], llm_response: LLMResponse
+    ): ...

astrbot/core/agent/mcp_client.py

@@ -1,271 +1,36 @@
 import asyncio
-import copy
 import logging
-import os
-import re
-import sys
-from contextlib import AsyncExitStack
 from datetime import timedelta
-from pathlib import Path, PureWindowsPath
-from typing import Any, Generic
-
-from tenacity import (
-    before_sleep_log,
-    retry,
-    retry_if_exception_type,
-    stop_after_attempt,
-    wait_exponential,
-)
-
+from typing import Optional
+from contextlib import AsyncExitStack
 from astrbot import logger
-from astrbot.core.agent.run_context import ContextWrapper
 from astrbot.core.utils.log_pipe import LogPipe
 
-from .run_context import TContext
-from .tool import FunctionTool
-
-_DEFAULT_STDIO_COMMAND_ALLOWLIST = frozenset(
-    {
-        "python",
-        "python3",
-        "py",
-        "node",
-        "npx",
-        "npm",
-        "pnpm",
-        "yarn",
-        "bun",
-        "bunx",
-        "deno",
-        "uv",
-        "uvx",
-    }
-)
-_DENIED_STDIO_COMMANDS = frozenset(
-    {
-        "bash",
-        "sh",
-        "zsh",
-        "fish",
-        "cmd",
-        "cmd.exe",
-        "powershell",
-        "powershell.exe",
-        "pwsh",
-        "pwsh.exe",
-        "osascript",
-        "open",
-        "curl",
-        "wget",
-        "nc",
-        "netcat",
-        "telnet",
-        "ssh",
-        "scp",
-        "rm",
-        "mv",
-        "cp",
-        "dd",
-        "mkfs",
-        "sudo",
-        "su",
-        "chmod",
-        "chown",
-        "kill",
-        "killall",
-        "shutdown",
-        "reboot",
-        "poweroff",
-        "halt",
-    }
-)
-_SHELL_META_RE = re.compile(r"[\r\n\x00;&|<>`$]")
-_PYTHON_INLINE_CODE_FLAGS = frozenset({"-c"})
-_JS_INLINE_CODE_FLAGS = frozenset({"-e", "--eval", "-p", "--print"})
-_DENIED_DOCKER_ARGS = frozenset(
-    {
-        "--privileged",
-        "--pid=host",
-        "--network=host",
-        "--net=host",
-        "--ipc=host",
-    }
-)
-_STDIO_ALLOWLIST_ENV = "ASTRBOT_MCP_STDIO_ALLOWED_COMMANDS"
-
 try:
-    import anyio
     import mcp
     from mcp.client.sse import sse_client
 except (ModuleNotFoundError, ImportError):
-    logger.warning(
-        "Warning: Missing 'mcp' dependency, MCP services will be unavailable."
-    )
+    logger.warning("警告: 缺少依赖库 'mcp'，将无法使用 MCP 服务。")
 
 try:
     from mcp.client.streamable_http import streamablehttp_client
 except (ModuleNotFoundError, ImportError):
     logger.warning(
-        "Warning: Missing 'mcp' dependency or MCP library version too old, Streamable HTTP connection unavailable.",
+        "警告: 缺少依赖库 'mcp' 或者 mcp 库版本过低，无法使用 Streamable HTTP 连接方式。"
     )
 
 
 def _prepare_config(config: dict) -> dict:
-    """Prepare configuration, handle nested format"""
-    if config.get("mcpServers"):
+    """准备配置，处理嵌套格式"""
+    if "mcpServers" in config and config["mcpServers"]:
         first_key = next(iter(config["mcpServers"]))
-        config = dict(config["mcpServers"][first_key])
-    else:
-        config = dict(config)
+        config = config["mcpServers"][first_key]
     config.pop("active", None)
     return config
 
 
-def _normalize_stdio_command_name(command: str) -> str:
-    command = command.strip()
-    if "\\" in command:
-        command_name = PureWindowsPath(command).name
-    else:
-        command_name = Path(command).name
-    command_name = command_name.lower()
-    for suffix in (".exe", ".cmd", ".bat"):
-        if command_name.endswith(suffix):
-            return command_name[: -len(suffix)]
-    return command_name
-
-
-def _get_stdio_command_allowlist() -> set[str]:
-    allowed = set(_DEFAULT_STDIO_COMMAND_ALLOWLIST)
-    configured = os.environ.get(_STDIO_ALLOWLIST_ENV, "")
-    if configured.strip():
-        allowed = {
-            _normalize_stdio_command_name(item)
-            for item in configured.split(",")
-            if item.strip()
-        }
-    return allowed
-
-
-def _is_stdio_config(config: dict) -> bool:
-    cfg = _prepare_config(config.copy())
-    return "url" not in cfg
-
-
-def _validate_stdio_args(command_name: str, args: object) -> None:
-    if args is None:
-        return
-    if not isinstance(args, list) or not all(isinstance(arg, str) for arg in args):
-        raise ValueError("MCP stdio args must be a list of strings.")
-
-    for arg in args:
-        if "\x00" in arg or "\r" in arg or "\n" in arg:
-            raise ValueError("MCP stdio args cannot contain control characters.")
-
-    if command_name.startswith("python") or command_name == "py":
-        if any(
-            arg == "-c"
-            or (arg.startswith("-") and not arg.startswith("--") and "c" in arg)
-            for arg in args
-        ):
-            raise ValueError(
-                "MCP stdio Python servers must be launched from a module or file; inline code flags such as -c are not allowed."
-            )
-    elif command_name in {"node", "deno", "bun"} or command_name.startswith("node"):
-        if any(
-            arg in _JS_INLINE_CODE_FLAGS
-            or arg == "eval"
-            or (
-                arg.startswith("-")
-                and not arg.startswith("--")
-                and any(c in arg for c in "ep")
-            )
-            for arg in args
-        ):
-            raise ValueError(
-                "MCP stdio JavaScript servers must be launched from a package or file; inline eval flags are not allowed."
-            )
-    elif command_name == "docker":
-        denied = []
-        for i, arg in enumerate(args):
-            if arg in _DENIED_DOCKER_ARGS:
-                denied.append(arg)
-            elif (
-                arg in {"--network", "--net", "--pid", "--ipc"}
-                and i + 1 < len(args)
-                and args[i + 1] == "host"
-            ):
-                denied.append(f"{arg} {args[i + 1]}")
-        if denied:
-            raise ValueError(
-                f"MCP stdio Docker args are unsafe and not allowed: {', '.join(denied)}."
-            )
-
-
-def validate_mcp_stdio_config(config: dict) -> None:
-    """Validate stdio MCP config before any subprocess can be spawned."""
-    cfg = _prepare_config(config.copy())
-    if "url" in cfg:
-        return
-
-    command = cfg.get("command")
-    if not isinstance(command, str) or not command.strip():
-        raise ValueError("MCP stdio server requires a non-empty command.")
-    if _SHELL_META_RE.search(command):
-        raise ValueError("MCP stdio command contains unsafe shell metacharacters.")
-
-    command_name = _normalize_stdio_command_name(command)
-    if command_name in _DENIED_STDIO_COMMANDS:
-        raise ValueError(f"MCP stdio command `{command_name}` is not allowed.")
-
-    allowed = _get_stdio_command_allowlist()
-    if command_name not in allowed:
-        allowed_display = ", ".join(sorted(allowed))
-        raise ValueError(
-            f"MCP stdio command `{command_name}` is not allowed. "
-            f"Allowed commands: {allowed_display}. "
-            f"Set {_STDIO_ALLOWLIST_ENV} to override this list if you trust another launcher."
-        )
-
-    _validate_stdio_args(command_name, cfg.get("args"))
-
-    env = cfg.get("env")
-    if env is not None and not isinstance(env, dict):
-        raise ValueError("MCP stdio env must be an object.")
-    if isinstance(env, dict) and not all(
-        isinstance(key, str) and isinstance(value, str) for key, value in env.items()
-    ):
-        raise ValueError("MCP stdio env keys and values must be strings.")
-
-
-def _prepare_stdio_env(config: dict) -> dict:
-    """Preserve Windows executable resolution for stdio subprocesses."""
-    if sys.platform != "win32":
-        return config
-    prepared = config.copy()
-    env = dict(prepared.get("env") or {})
-    env = _merge_environment_variables(env)
-    prepared["env"] = env
-    return prepared
-
-
-def _merge_environment_variables(env: dict) -> dict:
-    """合并环境变量，处理Windows不区分大小写的情况"""
-    merged = env.copy()
-
-    # 将用户环境变量转换为统一的大小写形式便于比较
-    user_keys_lower = {k.lower(): k for k in merged.keys()}
-
-    for sys_key, sys_value in os.environ.items():
-        sys_key_lower = sys_key.lower()
-        if sys_key_lower not in user_keys_lower:
-            # 使用系统环境变量中的原始大小写
-            merged[sys_key] = sys_value
-
-    return merged
-
-
 async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
-    """Quick test MCP server connectivity"""
+    """快速测试 MCP 服务器可达性"""
     import aiohttp
 
     cfg = _prepare_config(config.copy())
@@ -275,15 +40,8 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
     timeout = cfg.get("timeout", 10)
 
     try:
-        if "transport" in cfg:
-            transport_type = cfg["transport"]
-        elif "type" in cfg:
-            transport_type = cfg["type"]
-        else:
-            raise Exception("MCP connection config missing transport or type field")
-
         async with aiohttp.ClientSession() as session:
-            if transport_type == "streamable_http":
+            if cfg.get("transport") == "streamable_http":
                 test_payload = {
                     "jsonrpc": "2.0",
                     "method": "initialize",
@@ -306,7 +64,8 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
                 ) as response:
                     if response.status == 200:
                         return True, ""
-                    return False, f"HTTP {response.status}: {response.reason}"
+                    else:
+                        return False, f"HTTP {response.status}: {response.reason}"
             else:
                 async with session.get(
                     url,
@@ -318,73 +77,20 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
                 ) as response:
                     if response.status == 200:
                         return True, ""
-                    return False, f"HTTP {response.status}: {response.reason}"
+                    else:
+                        return False, f"HTTP {response.status}: {response.reason}"
 
     except asyncio.TimeoutError:
-        return False, f"Connection timeout: {timeout} seconds"
+        return False, f"连接超时: {timeout}秒"
     except Exception as e:
         return False, f"{e!s}"
 
 
-def _normalize_mcp_input_schema(schema: dict[str, Any]) -> dict[str, Any]:
-    """Normalize common non-standard MCP JSON Schema variants.
-
-    Some MCP servers incorrectly mark required properties with a boolean
-    `required: true` on the property schema itself. Draft 2020-12 requires the
-    parent object to declare `required` as an array of property names instead.
-    We lift those booleans to the parent object so the schema remains usable
-    without disabling validation entirely.
-    """
-
-    def _normalize(node: Any) -> Any:
-        if isinstance(node, list):
-            return [_normalize(item) for item in node]
-
-        if not isinstance(node, dict):
-            return node
-
-        normalized = {key: _normalize(value) for key, value in node.items()}
-
-        properties = normalized.get("properties")
-        if isinstance(properties, dict):
-            original_properties = node.get("properties")
-            if not isinstance(original_properties, dict):
-                original_properties = {}
-            required = normalized.get("required")
-            required_list = required[:] if isinstance(required, list) else []
-
-            for prop_name, prop_schema in properties.items():
-                if not isinstance(prop_schema, dict):
-                    continue
-
-                original_prop_schema = original_properties.get(prop_name, {})
-                prop_required = (
-                    original_prop_schema.get("required")
-                    if isinstance(original_prop_schema, dict)
-                    else None
-                )
-                if isinstance(prop_required, bool):
-                    if prop_schema.get("required") is prop_required:
-                        prop_schema.pop("required", None)
-                    if prop_required:
-                        required_list.append(prop_name)
-
-            if required_list:
-                normalized["required"] = list(dict.fromkeys(required_list))
-            elif isinstance(required, list):
-                normalized.pop("required", None)
-
-        return normalized
-
-    return _normalize(copy.deepcopy(schema))
-
-
 class MCPClient:
-    def __init__(self) -> None:
+    def __init__(self):
         # Initialize session and client objects
-        self.session: mcp.ClientSession | None = None
+        self.session: Optional[mcp.ClientSession] = 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
@@ -392,52 +98,30 @@ class MCPClient:
         self.server_errlogs: list[str] = []
         self.running_event = asyncio.Event()
 
-        # 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
+    async def connect_to_server(self, mcp_server_config: dict, name: str):
+        """连接到 MCP 服务器
 
-    async def connect_to_server(self, mcp_server_config: dict, name: str) -> None:
-        """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.
+        如果 `url` 参数存在：
+            1. 当 transport 指定为 `streamable_http` 时，使用 Streamable HTTP 连接方式。
+            1. 当 transport 指定为 `sse` 时，使用 SSE 连接方式。
+            2. 如果没有指定，默认使用 SSE 的方式连接到 MCP 服务。
 
         Args:
             mcp_server_config (dict): Configuration for the MCP server. See https://modelcontextprotocol.io/quickstart/server
-
         """
-        # 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 | mcp.types.LoggingMessageNotificationParams,
-        ) -> None:
-            # Handle MCP service error logs
-            if isinstance(msg, mcp.types.LoggingMessageNotificationParams):
-                if msg.level in ("warning", "error", "critical", "alert", "emergency"):
-                    log_msg = f"[{msg.level.upper()}] {str(msg.data)}"
-                    self.server_errlogs.append(log_msg)
+        def logging_callback(msg: str):
+            # 处理 MCP 服务的错误日志
+            print(f"MCP Server {name} Error: {msg}")
+            self.server_errlogs.append(msg)
 
         if "url" in cfg:
             success, error_msg = await _quick_test_mcp_connection(cfg)
             if not success:
                 raise Exception(error_msg)
 
-            if "transport" in cfg:
-                transport_type = cfg["transport"]
-            elif "type" in cfg:
-                transport_type = cfg["type"]
-            else:
-                raise Exception("MCP connection config missing transport or type field")
-
-            if transport_type != "streamable_http":
+            if cfg.get("transport") != "streamable_http":
                 # SSE transport method
                 self._streams_context = sse_client(
                     url=cfg["url"],
@@ -446,22 +130,22 @@ class MCPClient:
                     sse_read_timeout=cfg.get("sse_read_timeout", 60 * 5),
                 )
                 streams = await self.exit_stack.enter_async_context(
-                    self._streams_context,
+                    self._streams_context
                 )
 
                 # Create a new client session
-                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 60))
+                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 20))
                 self.session = await self.exit_stack.enter_async_context(
                     mcp.ClientSession(
                         *streams,
                         read_timeout_seconds=read_timeout,
                         logging_callback=logging_callback,  # type: ignore
-                    ),
+                    )
                 )
             else:
                 timeout = timedelta(seconds=cfg.get("timeout", 30))
                 sse_read_timeout = timedelta(
-                    seconds=cfg.get("sse_read_timeout", 60 * 5),
+                    seconds=cfg.get("sse_read_timeout", 60 * 5)
                 )
                 self._streams_context = streamablehttp_client(
                     url=cfg["url"],
@@ -471,45 +155,34 @@ class MCPClient:
                     terminate_on_close=cfg.get("terminate_on_close", True),
                 )
                 read_s, write_s, _ = await self.exit_stack.enter_async_context(
-                    self._streams_context,
+                    self._streams_context
                 )
 
                 # Create a new client session
-                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 60))
+                read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 20))
                 self.session = await self.exit_stack.enter_async_context(
                     mcp.ClientSession(
                         read_stream=read_s,
                         write_stream=write_s,
                         read_timeout_seconds=read_timeout,
                         logging_callback=logging_callback,  # type: ignore
-                    ),
+                    )
                 )
 
         else:
-            validate_mcp_stdio_config(cfg)
-            cfg = _prepare_stdio_env(cfg)
             server_params = mcp.StdioServerParameters(
                 **cfg,
             )
 
-            def callback(msg: str | mcp.types.LoggingMessageNotificationParams) -> None:
-                # Handle MCP service error logs
-                if isinstance(msg, mcp.types.LoggingMessageNotificationParams):
-                    if msg.level in (
-                        "warning",
-                        "error",
-                        "critical",
-                        "alert",
-                        "emergency",
-                    ):
-                        log_msg = f"[{msg.level.upper()}] {str(msg.data)}"
-                        self.server_errlogs.append(log_msg)
+            def callback(msg: str):
+                # 处理 MCP 服务的错误日志
+                self.server_errlogs.append(msg)
 
             stdio_transport = await self.exit_stack.enter_async_context(
                 mcp.stdio_client(
                     server_params,
                     errlog=LogPipe(
-                        level=logging.INFO,
+                        level=logging.ERROR,
                         logger=logger,
                         identifier=f"MCPServer-{name}",
                         callback=callback,
@@ -519,7 +192,7 @@ class MCPClient:
 
             # Create a new client session
             self.session = await self.exit_stack.enter_async_context(
-                mcp.ClientSession(*stdio_transport),
+                mcp.ClientSession(*stdio_transport)
             )
         await self.session.initialize()
 
@@ -531,142 +204,7 @@ 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) -> None:
-        """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]):
-    """A function tool that calls an MCP service."""
-
-    def __init__(
-        self, mcp_tool: mcp.Tool, mcp_client: MCPClient, mcp_server_name: str, **kwargs
-    ) -> None:
-        super().__init__(
-            name=mcp_tool.name,
-            description=mcp_tool.description or "",
-            parameters=_normalize_mcp_input_schema(mcp_tool.inputSchema),
-        )
-        self.mcp_tool = mcp_tool
-        self.mcp_client = mcp_client
-        self.mcp_server_name = mcp_server_name
-
-    async def call(
-        self, context: ContextWrapper[TContext], **kwargs
-    ) -> mcp.types.CallToolResult:
-        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),
-        )
+    async def cleanup(self):
+        """Clean up resources"""
+        await self.exit_stack.aclose()
+        self.running_event.set()  # Set the running event to indicate cleanup is done

astrbot/core/agent/message.py

@@ -1,361 +0,0 @@
-# Inspired by MoonshotAI/kosong, credits to MoonshotAI/kosong authors for the original implementation.
-# License: Apache License 2.0
-
-from typing import Any, ClassVar, Literal, TypeVar, cast
-
-from pydantic import (
-    BaseModel,
-    GetCoreSchemaHandler,
-    PrivateAttr,
-    ValidationError,
-    model_serializer,
-    model_validator,
-)
-from pydantic_core import core_schema
-
-ContentPartT = TypeVar("ContentPartT", bound="ContentPart")
-
-
-class ContentPart(BaseModel):
-    """A part of the content in a message."""
-
-    __content_part_registry: ClassVar[dict[str, type["ContentPart"]]] = {}
-
-    type: Literal["text", "think", "image_url", "audio_url"]
-    _no_save: bool = PrivateAttr(default=False)
-
-    def __init_subclass__(cls, **kwargs: Any) -> None:
-        super().__init_subclass__(**kwargs)
-
-        invalid_subclass_error_msg = f"ContentPart subclass {cls.__name__} must have a `type` field of type `str`"
-
-        type_value = getattr(cls, "type", None)
-        if type_value is None or not isinstance(type_value, str):
-            raise ValueError(invalid_subclass_error_msg)
-
-        cls.__content_part_registry[type_value] = cls
-
-    @classmethod
-    def __get_pydantic_core_schema__(
-        cls, source_type: Any, handler: GetCoreSchemaHandler
-    ) -> core_schema.CoreSchema:
-        # If we're dealing with the base ContentPart class, use custom validation
-        if cls.__name__ == "ContentPart":
-
-            def validate_content_part(value: Any) -> Any:
-                # if it's already an instance of a ContentPart subclass, return it
-                if hasattr(value, "__class__") and issubclass(value.__class__, cls):
-                    return value
-
-                # if it's a dict with a type field, dispatch to the appropriate subclass
-                if isinstance(value, dict) and "type" in value:
-                    type_value: Any | None = cast(dict[str, Any], value).get("type")
-                    if not isinstance(type_value, str):
-                        raise ValueError(f"Cannot validate {value} as ContentPart")
-                    target_class = cls.__content_part_registry[type_value]
-                    part = target_class.model_validate(value)
-                    if cast(dict[str, Any], value).get("_no_save"):
-                        part._no_save = True
-                    return part
-
-                raise ValueError(f"Cannot validate {value} as ContentPart")
-
-            return core_schema.no_info_plain_validator_function(validate_content_part)
-
-        # for subclasses, use the default schema
-        return handler(source_type)
-
-    def mark_as_temp(self: ContentPartT) -> ContentPartT:
-        """Mark this content part as provider-facing only, not persisted."""
-        self._no_save = True
-        return self
-
-    def model_dump_for_context(self) -> dict[str, Any]:
-        data = self.model_dump()
-        if self._no_save:
-            data["_no_save"] = True
-        return data
-
-
-class TextPart(ContentPart):
-    """
-    >>> TextPart(text="Hello, world!").model_dump()
-    {'type': 'text', 'text': 'Hello, world!'}
-    """
-
-    type: str = "text"
-    text: str
-
-
-class ThinkPart(ContentPart):
-    """
-    >>> ThinkPart(think="I think I need to think about this.").model_dump()
-    {'type': 'think', 'think': 'I think I need to think about this.', 'encrypted': None}
-    """
-
-    type: str = "think"
-    think: str
-    encrypted: str | None = None
-    """Encrypted thinking content, or signature."""
-
-    def merge_in_place(self, other: Any) -> bool:
-        if not isinstance(other, ThinkPart):
-            return False
-        if self.encrypted:
-            return False
-        self.think += other.think
-        if other.encrypted:
-            self.encrypted = other.encrypted
-        return True
-
-
-class ImageURLPart(ContentPart):
-    """
-    >>> ImageURLPart(image_url="http://example.com/image.jpg").model_dump()
-    {'type': 'image_url', 'image_url': 'http://example.com/image.jpg'}
-    """
-
-    class ImageURL(BaseModel):
-        url: str
-        """The URL of the image, can be data URI scheme like `data:image/png;base64,...`."""
-        id: str | None = None
-        """The ID of the image, to allow LLMs to distinguish different images."""
-
-    type: str = "image_url"
-    image_url: ImageURL
-
-
-class AudioURLPart(ContentPart):
-    """
-    >>> AudioURLPart(audio_url=AudioURLPart.AudioURL(url="https://example.com/audio.mp3")).model_dump()
-    {'type': 'audio_url', 'audio_url': {'url': 'https://example.com/audio.mp3', 'id': None}}
-    """
-
-    class AudioURL(BaseModel):
-        url: str
-        """The URL of the audio, can be data URI scheme like `data:audio/aac;base64,...`."""
-        id: str | None = None
-        """The ID of the audio, to allow LLMs to distinguish different audios."""
-
-    type: str = "audio_url"
-    audio_url: AudioURL
-
-
-class ToolCall(BaseModel):
-    """
-    A tool call requested by the assistant.
-
-    >>> ToolCall(
-    ...     id="123",
-    ...     function=ToolCall.FunctionBody(
-    ...         name="function",
-    ...         arguments="{}"
-    ...     ),
-    ... ).model_dump()
-    {'type': 'function', 'id': '123', 'function': {'name': 'function', 'arguments': '{}'}}
-    """
-
-    class FunctionBody(BaseModel):
-        name: str
-        arguments: str | None
-
-    type: Literal["function"] = "function"
-
-    id: str
-    """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."""
-
-    @model_serializer(mode="wrap")
-    def serialize(self, handler):
-        data = handler(self)
-        if self.extra_content is None:
-            data.pop("extra_content", None)
-        return data
-
-
-class ToolCallPart(BaseModel):
-    """A part of the tool call."""
-
-    arguments_part: str | None = None
-    """A part of the arguments of the tool call."""
-
-
-class CheckpointData(BaseModel):
-    """Internal checkpoint data for linking LLM turns to platform history."""
-
-    id: str
-
-
-CHECKPOINT_ROLE = "_checkpoint"
-
-
-class Message(BaseModel):
-    """A message in a conversation."""
-
-    role: Literal[
-        "system",
-        "user",
-        "assistant",
-        "tool",
-        "_checkpoint",
-    ]
-
-    content: str | list[ContentPart] | CheckpointData | 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."""
-
-    _no_save: bool = PrivateAttr(default=False)
-    _checkpoint_after: CheckpointData | None = PrivateAttr(default=None)
-
-    @model_validator(mode="after")
-    def check_content_required(self):
-        if self.role == CHECKPOINT_ROLE:
-            if not isinstance(self.content, CheckpointData):
-                raise ValueError("checkpoint message content must be CheckpointData")
-            return self
-
-        if isinstance(self.content, CheckpointData):
-            raise ValueError("CheckpointData is only allowed for role='_checkpoint'")
-
-        # 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
-
-    @model_serializer(mode="wrap")
-    def serialize(self, handler):
-        data = handler(self)
-        if self.tool_calls is None:
-            data.pop("tool_calls", None)
-        if self.tool_call_id is None:
-            data.pop("tool_call_id", None)
-        return data
-
-
-class AssistantMessageSegment(Message):
-    """A message segment from the assistant."""
-
-    role: Literal["assistant"] = "assistant"
-
-
-class ToolCallMessageSegment(Message):
-    """A message segment representing a tool call."""
-
-    role: Literal["tool"] = "tool"
-
-
-class UserMessageSegment(Message):
-    """A message segment from the user."""
-
-    role: Literal["user"] = "user"
-
-
-class SystemMessageSegment(Message):
-    """A message segment from the system."""
-
-    role: Literal["system"] = "system"
-
-
-class CheckpointMessageSegment(Message):
-    """Internal checkpoint segment for persisted conversation history."""
-
-    role: Literal["_checkpoint"] = "_checkpoint"
-    content: CheckpointData | None = None
-
-
-def is_checkpoint_message(message: Message | dict) -> bool:
-    """Return whether a message is an internal checkpoint."""
-    if isinstance(message, Message):
-        return message.role == CHECKPOINT_ROLE
-    return isinstance(message, dict) and message.get("role") == CHECKPOINT_ROLE
-
-
-def get_checkpoint_id(message: Message | dict) -> str | None:
-    """Return the checkpoint id from an internal checkpoint message."""
-    if not is_checkpoint_message(message):
-        return None
-
-    content = (
-        message.content if isinstance(message, Message) else message.get("content")
-    )
-    if isinstance(content, CheckpointData):
-        return content.id
-    if isinstance(content, dict):
-        checkpoint_id = content.get("id")
-        return (
-            checkpoint_id if isinstance(checkpoint_id, str) and checkpoint_id else None
-        )
-    return None
-
-
-def strip_checkpoint_messages(history: list[dict]) -> list[dict]:
-    """Remove internal checkpoint messages from provider-facing history."""
-    return [message for message in history if not is_checkpoint_message(message)]
-
-
-def _get_checkpoint_data(message: Message | dict) -> CheckpointData | None:
-    if not is_checkpoint_message(message):
-        return None
-
-    content = (
-        message.content if isinstance(message, Message) else message.get("content")
-    )
-    if isinstance(content, CheckpointData):
-        return content
-    if isinstance(content, dict):
-        try:
-            return CheckpointData.model_validate(content)
-        except ValidationError:
-            return None
-    return None
-
-
-def bind_checkpoint_messages(history: list[dict]) -> list[Message]:
-    """Load persisted history and bind checkpoint segments to prior messages."""
-    messages: list[Message] = []
-    for item in history:
-        if is_checkpoint_message(item):
-            checkpoint = _get_checkpoint_data(item)
-            if checkpoint is not None and messages:
-                messages[-1]._checkpoint_after = checkpoint
-            continue
-
-        message = Message.model_validate(item)
-        if item.get("_no_save"):
-            message._no_save = True
-        messages.append(message)
-
-    return messages
-
-
-def dump_messages_with_checkpoints(messages: list[Message]) -> list[dict]:
-    """Dump runtime messages and reinsert bound checkpoint segments."""
-    dumped: list[dict] = []
-    for message in messages:
-        message_data = message.model_dump()
-        if isinstance(message.content, list):
-            message_data["content"] = [
-                part.model_dump()
-                for part in message.content
-                if not getattr(part, "_no_save", False)
-            ]
-        dumped.append(message_data)
-        if message._checkpoint_after is not None:
-            dumped.append(
-                CheckpointMessageSegment(content=message._checkpoint_after).model_dump()
-            )
-    return dumped

astrbot/core/agent/response.py

@@ -1,8 +1,6 @@
+from dataclasses import dataclass
 import typing as T
-from dataclasses import dataclass, field
-
 from astrbot.core.message.message_event_result import MessageChain
-from astrbot.core.provider.entities import TokenUsage
 
 
 class AgentResponseData(T.TypedDict):
@@ -13,23 +11,3 @@ class AgentResponseData(T.TypedDict):
 class AgentResponse:
     type: str
     data: AgentResponseData
-
-
-@dataclass
-class AgentStats:
-    token_usage: TokenUsage = field(default_factory=TokenUsage)
-    start_time: float = 0.0
-    end_time: float = 0.0
-    time_to_first_token: float = 0.0
-
-    @property
-    def duration(self) -> float:
-        return self.end_time - self.start_time
-
-    def to_dict(self) -> dict:
-        return {
-            "token_usage": self.token_usage.__dict__,
-            "start_time": self.start_time,
-            "end_time": self.end_time,
-            "time_to_first_token": self.time_to_first_token,
-        }

astrbot/core/agent/run_context.py

@@ -1,10 +1,8 @@
+from dataclasses import dataclass
 from typing import Any, Generic
-
-from pydantic import Field
-from pydantic.dataclasses import dataclass
 from typing_extensions import TypeVar
 
-from .message import Message
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
 
 TContext = TypeVar("TContext", default=Any)
 
@@ -14,9 +12,7 @@ class ContextWrapper(Generic[TContext]):
     """A context for running an agent, which can be used to pass additional data or state."""
 
     context: TContext
-    messages: list[Message] = Field(default_factory=list)
-    """This field stores the llm message context for the agent run, agent runners will maintain this field automatically."""
-    tool_call_timeout: int = 120  # Default tool call timeout in seconds
+    event: AstrMessageEvent
 
 
 NoContext = ContextWrapper[None]

astrbot/core/agent/runners/base.py

@@ -1,13 +1,12 @@
 import abc
 import typing as T
 from enum import Enum, auto
-
-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 ..response import AgentResponse
+from ..hooks import BaseAgentRunHooks
+from ..tool_executor import BaseFunctionToolExecutor
+from astrbot.core.provider import Provider
+from astrbot.core.provider.entities import LLMResponse
 
 
 class AgentState(Enum):
@@ -23,43 +22,37 @@ 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:
-        """Reset the agent to its initial state.
+        """
+        Reset the agent to its initial state.
         This method should be called before starting a new run.
         """
         ...
 
     @abc.abstractmethod
     async def step(self) -> T.AsyncGenerator[AgentResponse, None]:
-        """Process a single step of the agent."""
-        ...
-
-    @abc.abstractmethod
-    async def step_until_done(
-        self, max_step: int
-    ) -> T.AsyncGenerator[AgentResponse, None]:
-        """Process steps until the agent is done."""
+        """
+        Process a single step of the agent.
+        """
         ...
 
     @abc.abstractmethod
     def done(self) -> bool:
-        """Check if the agent has completed its task.
+        """
+        Check if the agent has completed its task.
         Returns True if the agent is done, False otherwise.
         """
         ...
 
     @abc.abstractmethod
     def get_final_llm_resp(self) -> LLMResponse | None:
-        """Get the final observation from the agent.
+        """
+        Get the final observation from the agent.
         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

@@ -1,378 +0,0 @@
-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 astrbot.core.utils.media_utils import MediaResolver, describe_media_ref
-
-from ...hooks import BaseAgentRunHooks
-from ...message import is_checkpoint_message
-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 is_checkpoint_message(ctx):
-                    continue
-                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:
-                    try:
-                        file_id = await self._download_and_upload_image(
-                            url,
-                            session_id,
-                        )
-                        object_string_content.append(
-                            {
-                                "type": "image",
-                                "file_id": file_id,
-                            }
-                        )
-                    except Exception as e:
-                        logger.warning(
-                            "处理图片失败 %s: %s",
-                            describe_media_ref(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_bytes = await MediaResolver(
-                image_url,
-                media_type="image",
-            ).to_bytes()
-            file_id = await self.api_client.upload_file(image_bytes)
-
-            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("处理图片失败 %s: %s", describe_media_ref(image_url), e)
-            raise Exception(f"处理图片失败: {e!s}") from e
-
-    @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

@@ -1,403 +0,0 @@
-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) -> bool:
-        """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_running_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_running_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/deerflow/constants.py

@@ -1,4 +0,0 @@
-DEERFLOW_PROVIDER_TYPE = "deerflow"
-DEERFLOW_THREAD_ID_KEY = "deerflow_thread_id"
-DEERFLOW_SESSION_PREFIX = "deerflow-ephemeral"
-DEERFLOW_AGENT_RUNNER_PROVIDER_ID_KEY = "deerflow_agent_runner_provider_id"

astrbot/core/agent/runners/deerflow/deerflow_agent_runner.py

@@ -1,764 +0,0 @@
-import asyncio
-import hashlib
-import json
-import sys
-import typing as T
-from collections import deque
-from dataclasses import dataclass, field
-from uuid import uuid4
-
-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 astrbot.core.utils.config_number import coerce_int_config
-
-from ...hooks import BaseAgentRunHooks
-from ...response import AgentResponseData
-from ...run_context import ContextWrapper, TContext
-from ..base import AgentResponse, AgentState, BaseAgentRunner
-from .constants import DEERFLOW_SESSION_PREFIX, DEERFLOW_THREAD_ID_KEY
-from .deerflow_api_client import DeerFlowAPIClient
-from .deerflow_content_mapper import (
-    build_chain_from_ai_content,
-    build_user_content,
-    build_user_content_resolved,
-    image_component_from_url,
-)
-from .deerflow_stream_utils import (
-    build_task_failure_summary,
-    extract_ai_delta_from_event_data,
-    extract_clarification_from_event_data,
-    extract_latest_ai_message,
-    extract_latest_ai_text,
-    extract_latest_clarification_text,
-    extract_messages_from_values_data,
-    extract_task_failures_from_custom_event,
-    get_message_id,
-)
-
-if sys.version_info >= (3, 12):
-    from typing import override
-else:
-    from typing_extensions import override
-
-
-class DeerFlowAgentRunner(BaseAgentRunner[TContext]):
-    """DeerFlow Agent Runner via LangGraph HTTP API."""
-
-    _MAX_VALUES_HISTORY = 200
-
-    @dataclass(frozen=True)
-    class _RunnerConfig:
-        api_base: str
-        api_key: str
-        auth_header: str
-        proxy: str
-        assistant_id: str
-        model_name: str
-        thinking_enabled: bool
-        plan_mode: bool
-        subagent_enabled: bool
-        max_concurrent_subagents: int
-        timeout: int
-        recursion_limit: int
-
-    @dataclass
-    class _StreamState:
-        latest_text: str = ""
-        prev_text_for_streaming: str = ""
-        clarification_text: str = ""
-        task_failures: list[str] = field(default_factory=list)
-        seen_message_ids: set[str] = field(default_factory=set)
-        seen_message_order: deque[str] = field(default_factory=deque)
-        # Fallback tracking for backends that omit message ids in values events.
-        no_id_message_fingerprints: dict[int, str] = field(default_factory=dict)
-        baseline_initialized: bool = False
-        has_values_text: bool = False
-        run_values_messages: list[dict[str, T.Any]] = field(default_factory=list)
-        timed_out: bool = False
-
-    @dataclass(frozen=True)
-    class _FinalResult:
-        chain: MessageChain
-        role: str
-
-    def _format_exception(self, err: Exception) -> str:
-        err_type = type(err).__name__
-        detail = str(err).strip()
-
-        if isinstance(err, (asyncio.TimeoutError, TimeoutError)):
-            timeout_text = (
-                f"{self.timeout}s"
-                if isinstance(getattr(self, "timeout", None), (int, float))
-                else "configured timeout"
-            )
-            return (
-                f"{err_type}: request timed out after {timeout_text}. "
-                "Please check DeerFlow service health and backend logs."
-            )
-
-        if detail:
-            if detail.startswith(f"{err_type}:"):
-                return detail
-            return f"{err_type}: {detail}"
-
-        return f"{err_type}: no detailed error message provided."
-
-    async def close(self) -> None:
-        """Explicit cleanup hook for long-lived workers."""
-        api_client = getattr(self, "api_client", None)
-        if isinstance(api_client, DeerFlowAPIClient) and not api_client.is_closed:
-            try:
-                await api_client.close()
-            except Exception as e:
-                logger.warning(
-                    "Failed to close DeerFlowAPIClient during runner shutdown: %s",
-                    e,
-                    exc_info=True,
-                )
-
-    async def _notify_agent_done_hook(self) -> None:
-        if not self.final_llm_resp:
-            return
-        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)
-
-    async def _finish_with_result(
-        self, chain: MessageChain, role: str
-    ) -> AgentResponse:
-        self.final_llm_resp = LLMResponse(
-            role=role,
-            result_chain=chain,
-        )
-        self._transition_state(AgentState.DONE)
-        await self._notify_agent_done_hook()
-        return AgentResponse(
-            type="llm_result",
-            data=AgentResponseData(chain=chain),
-        )
-
-    async def _finish_with_error(self, err_msg: str) -> AgentResponse:
-        err_text = f"DeerFlow request failed: {err_msg}"
-        err_chain = MessageChain().message(err_text)
-        self.final_llm_resp = LLMResponse(
-            role="err",
-            completion_text=err_text,
-            result_chain=err_chain,
-        )
-        self._transition_state(AgentState.ERROR)
-        await self._notify_agent_done_hook()
-        return AgentResponse(
-            type="err",
-            data=AgentResponseData(
-                chain=err_chain,
-            ),
-        )
-
-    def _parse_runner_config(self, provider_config: dict) -> _RunnerConfig:
-        api_base = provider_config.get("deerflow_api_base", "http://127.0.0.1:2026")
-        if not isinstance(api_base, str) or not api_base.startswith(
-            ("http://", "https://"),
-        ):
-            raise ValueError(
-                "DeerFlow API Base URL format is invalid. It must start with http:// or https://.",
-            )
-
-        proxy = provider_config.get("proxy", "")
-        normalized_proxy = proxy.strip() if isinstance(proxy, str) else ""
-
-        return self._RunnerConfig(
-            api_base=api_base,
-            api_key=provider_config.get("deerflow_api_key", ""),
-            auth_header=provider_config.get("deerflow_auth_header", ""),
-            proxy=normalized_proxy,
-            assistant_id=provider_config.get("deerflow_assistant_id", "lead_agent"),
-            model_name=provider_config.get("deerflow_model_name", ""),
-            thinking_enabled=bool(
-                provider_config.get("deerflow_thinking_enabled", False),
-            ),
-            plan_mode=bool(provider_config.get("deerflow_plan_mode", False)),
-            subagent_enabled=bool(
-                provider_config.get("deerflow_subagent_enabled", False),
-            ),
-            max_concurrent_subagents=coerce_int_config(
-                provider_config.get("deerflow_max_concurrent_subagents", 3),
-                default=3,
-                min_value=1,
-                field_name="deerflow_max_concurrent_subagents",
-                source="DeerFlow config",
-            ),
-            timeout=coerce_int_config(
-                provider_config.get("timeout", 300),
-                default=300,
-                min_value=1,
-                field_name="timeout",
-                source="DeerFlow config",
-            ),
-            recursion_limit=coerce_int_config(
-                provider_config.get("deerflow_recursion_limit", 1000),
-                default=1000,
-                min_value=1,
-                field_name="deerflow_recursion_limit",
-                source="DeerFlow config",
-            ),
-        )
-
-    async def _load_config_and_client(self, provider_config: dict) -> None:
-        config = self._parse_runner_config(provider_config)
-
-        self.api_base = config.api_base
-        self.api_key = config.api_key
-        self.auth_header = config.auth_header
-        self.proxy = config.proxy
-        self.assistant_id = config.assistant_id
-        self.model_name = config.model_name
-        self.thinking_enabled = config.thinking_enabled
-        self.plan_mode = config.plan_mode
-        self.subagent_enabled = config.subagent_enabled
-        self.max_concurrent_subagents = config.max_concurrent_subagents
-        self.timeout = config.timeout
-        self.recursion_limit = config.recursion_limit
-
-        new_client_signature = (
-            config.api_base,
-            config.api_key,
-            config.auth_header,
-            config.proxy,
-        )
-        old_client = getattr(self, "api_client", None)
-        old_signature = getattr(self, "_api_client_signature", None)
-
-        if (
-            isinstance(old_client, DeerFlowAPIClient)
-            and old_signature == new_client_signature
-            and not old_client.is_closed
-        ):
-            self.api_client = old_client
-            return
-
-        if isinstance(old_client, DeerFlowAPIClient):
-            try:
-                await old_client.close()
-            except Exception as e:
-                logger.warning(
-                    f"Failed to close previous DeerFlow API client cleanly: {e}"
-                )
-
-        self.api_client = DeerFlowAPIClient(
-            api_base=config.api_base,
-            api_key=config.api_key,
-            auth_header=config.auth_header,
-            proxy=config.proxy,
-        )
-        self._api_client_signature = new_client_signature
-
-    @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
-
-        await self._load_config_and_client(provider_config)
-
-    @override
-    async def step(self):
-        if not self.req:
-            raise ValueError("Request is not set. Please call reset() first.")
-        if self.done():
-            return
-
-        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)
-
-        self._transition_state(AgentState.RUNNING)
-
-        try:
-            async for response in self._execute_deerflow_request():
-                yield response
-        except asyncio.CancelledError:
-            # Let caller manage cancellation semantics.
-            raise
-        except Exception as e:
-            err_msg = self._format_exception(e)
-            logger.error(f"DeerFlow request failed: {err_msg}", exc_info=True)
-            yield await self._finish_with_error(err_msg)
-
-    @override
-    async def step_until_done(
-        self, max_step: int = 30
-    ) -> T.AsyncGenerator[AgentResponse, None]:
-        if max_step <= 0:
-            raise ValueError("max_step must be greater than 0")
-
-        step_count = 0
-        while not self.done() and step_count < max_step:
-            step_count += 1
-            async for resp in self.step():
-                yield resp
-
-        if not self.done():
-            raise RuntimeError(
-                f"DeerFlow agent reached max_step ({max_step}) without completion."
-            )
-
-    def _extract_new_messages_from_values(
-        self,
-        values_messages: list[T.Any],
-        state: _StreamState,
-    ) -> list[dict[str, T.Any]]:
-        new_messages: list[dict[str, T.Any]] = []
-        no_id_indexes_seen: set[int] = set()
-        for idx, msg in enumerate(values_messages):
-            if not isinstance(msg, dict):
-                continue
-            msg_id = get_message_id(msg)
-            if msg_id:
-                if msg_id in state.seen_message_ids:
-                    continue
-                self._remember_seen_message_id(state, msg_id)
-                new_messages.append(msg)
-                continue
-
-            no_id_indexes_seen.add(idx)
-            msg_fingerprint = self._fingerprint_message(msg)
-            if state.no_id_message_fingerprints.get(idx) == msg_fingerprint:
-                continue
-            state.no_id_message_fingerprints[idx] = msg_fingerprint
-            new_messages.append(msg)
-
-        # Keep no-id index state aligned with latest values payload shape.
-        for idx in list(state.no_id_message_fingerprints.keys()):
-            if idx not in no_id_indexes_seen:
-                state.no_id_message_fingerprints.pop(idx, None)
-        return new_messages
-
-    def _fingerprint_message(self, message: dict[str, T.Any]) -> str:
-        try:
-            raw = json.dumps(message, sort_keys=True, ensure_ascii=False, default=str)
-        except (TypeError, ValueError):
-            raw = repr(message)
-        return hashlib.sha1(raw.encode("utf-8", errors="ignore")).hexdigest()
-
-    def _remember_seen_message_id(self, state: _StreamState, msg_id: str) -> None:
-        if not msg_id or msg_id in state.seen_message_ids:
-            return
-
-        state.seen_message_ids.add(msg_id)
-        state.seen_message_order.append(msg_id)
-        while len(state.seen_message_order) > self._MAX_VALUES_HISTORY:
-            dropped = state.seen_message_order.popleft()
-            state.seen_message_ids.discard(dropped)
-
-    async def _ensure_thread_id(self, session_id: str) -> str:
-        thread_id = await sp.get_async(
-            scope="umo",
-            scope_id=session_id,
-            key=DEERFLOW_THREAD_ID_KEY,
-            default="",
-        )
-        if thread_id:
-            return thread_id
-
-        thread = await self.api_client.create_thread(timeout=min(30, self.timeout))
-        thread_id = thread.get("thread_id", "")
-        if not thread_id:
-            raise Exception(
-                f"DeerFlow create thread returned invalid payload: {thread}"
-            )
-
-        await sp.put_async(
-            scope="umo",
-            scope_id=session_id,
-            key=DEERFLOW_THREAD_ID_KEY,
-            value=thread_id,
-        )
-        return thread_id
-
-    def _build_messages(
-        self,
-        prompt: str,
-        image_urls: list[str],
-        system_prompt: str | None,
-    ) -> list[dict[str, T.Any]]:
-        messages: list[dict[str, T.Any]] = []
-        if system_prompt:
-            messages.append({"role": "system", "content": system_prompt})
-        messages.append(
-            {
-                "role": "user",
-                "content": build_user_content(prompt, image_urls),
-            },
-        )
-        return messages
-
-    async def _build_messages_resolved(
-        self,
-        prompt: str,
-        image_urls: list[str],
-        system_prompt: str | None,
-    ) -> list[dict[str, T.Any]]:
-        """Build DeerFlow messages after materializing image references.
-
-        Args:
-            prompt: User prompt text.
-            image_urls: Image references accepted by MediaResolver.
-            system_prompt: Optional system prompt prepended to the request.
-
-        Returns:
-            Messages payload for DeerFlow.
-        """
-
-        messages: list[dict[str, T.Any]] = []
-        if system_prompt:
-            messages.append({"role": "system", "content": system_prompt})
-        messages.append(
-            {
-                "role": "user",
-                "content": await build_user_content_resolved(prompt, image_urls),
-            },
-        )
-        return messages
-
-    def _build_runtime_configurable(self, thread_id: str) -> dict[str, T.Any]:
-        runtime_configurable: dict[str, T.Any] = {
-            "thread_id": thread_id,
-            "thinking_enabled": self.thinking_enabled,
-            "is_plan_mode": self.plan_mode,
-            "subagent_enabled": self.subagent_enabled,
-        }
-        if self.subagent_enabled:
-            runtime_configurable["max_concurrent_subagents"] = (
-                self.max_concurrent_subagents
-            )
-        if self.model_name:
-            runtime_configurable["model_name"] = self.model_name
-        return runtime_configurable
-
-    def _build_payload(
-        self,
-        thread_id: str,
-        prompt: str,
-        image_urls: list[str],
-        system_prompt: str | None,
-    ) -> dict[str, T.Any]:
-        runtime_configurable = self._build_runtime_configurable(thread_id)
-        return {
-            "assistant_id": self.assistant_id,
-            "input": {
-                "messages": self._build_messages(prompt, image_urls, system_prompt),
-            },
-            "stream_mode": ["values", "messages-tuple", "custom"],
-            # DeerFlow 2.0 consumes runtime overrides from config.configurable.
-            # Keep the legacy context mirror for older compat paths.
-            "context": dict(runtime_configurable),
-            "config": {
-                "recursion_limit": self.recursion_limit,
-                "configurable": runtime_configurable,
-            },
-        }
-
-    async def _build_payload_resolved(
-        self,
-        thread_id: str,
-        prompt: str,
-        image_urls: list[str],
-        system_prompt: str | None,
-    ) -> dict[str, T.Any]:
-        """Build a DeerFlow request payload with resolved media refs.
-
-        Args:
-            thread_id: DeerFlow thread id.
-            prompt: User prompt text.
-            image_urls: Image references accepted by MediaResolver.
-            system_prompt: Optional system prompt prepended to the request.
-
-        Returns:
-            Complete DeerFlow stream request payload.
-        """
-
-        runtime_configurable = self._build_runtime_configurable(thread_id)
-        return {
-            "assistant_id": self.assistant_id,
-            "input": {
-                "messages": await self._build_messages_resolved(
-                    prompt,
-                    image_urls,
-                    system_prompt,
-                ),
-            },
-            "stream_mode": ["values", "messages-tuple", "custom"],
-            "context": dict(runtime_configurable),
-            "config": {
-                "recursion_limit": self.recursion_limit,
-                "configurable": runtime_configurable,
-            },
-        }
-
-    def _update_text_and_maybe_stream(
-        self,
-        *,
-        state: _StreamState,
-        new_full_text: str | None = None,
-        delta_text: str | None = None,
-    ) -> list[AgentResponse]:
-        if new_full_text:
-            state.latest_text = new_full_text
-            if not self.streaming:
-                return []
-
-            if new_full_text.startswith(state.prev_text_for_streaming):
-                delta = new_full_text[len(state.prev_text_for_streaming) :]
-            else:
-                delta = new_full_text
-
-            if not delta:
-                return []
-
-            state.prev_text_for_streaming = new_full_text
-            return [
-                AgentResponse(
-                    type="streaming_delta",
-                    data=AgentResponseData(chain=MessageChain().message(delta)),
-                )
-            ]
-
-        if delta_text:
-            state.latest_text += delta_text
-            if self.streaming:
-                return [
-                    AgentResponse(
-                        type="streaming_delta",
-                        data=AgentResponseData(
-                            chain=MessageChain().message(delta_text)
-                        ),
-                    )
-                ]
-
-        return []
-
-    def _handle_values_event(
-        self,
-        data: T.Any,
-        state: _StreamState,
-    ) -> list[AgentResponse]:
-        responses: list[AgentResponse] = []
-        values_messages = extract_messages_from_values_data(data)
-        if not values_messages:
-            return responses
-
-        new_messages: list[dict[str, T.Any]] = []
-        if not state.baseline_initialized:
-            state.baseline_initialized = True
-            for idx, msg in enumerate(values_messages):
-                if not isinstance(msg, dict):
-                    continue
-                new_messages.append(msg)
-                msg_id = get_message_id(msg)
-                if msg_id:
-                    self._remember_seen_message_id(state, msg_id)
-                    continue
-                state.no_id_message_fingerprints[idx] = self._fingerprint_message(msg)
-        else:
-            new_messages = self._extract_new_messages_from_values(
-                values_messages,
-                state,
-            )
-        latest_text = ""
-        if new_messages:
-            state.run_values_messages.extend(new_messages)
-            if len(state.run_values_messages) > self._MAX_VALUES_HISTORY:
-                state.run_values_messages = state.run_values_messages[
-                    -self._MAX_VALUES_HISTORY :
-                ]
-            latest_text = extract_latest_ai_text(state.run_values_messages)
-            if latest_text:
-                state.has_values_text = True
-            latest_clarification = extract_latest_clarification_text(
-                state.run_values_messages,
-            )
-            if latest_clarification:
-                state.clarification_text = latest_clarification
-
-        responses.extend(
-            self._update_text_and_maybe_stream(
-                state=state,
-                new_full_text=latest_text or None,
-            )
-        )
-        return responses
-
-    def _handle_message_event(
-        self,
-        data: T.Any,
-        state: _StreamState,
-    ) -> AgentResponse | None:
-        delta = extract_ai_delta_from_event_data(data)
-
-        responses: list[AgentResponse] = []
-        if delta and not state.has_values_text:
-            responses.extend(
-                self._update_text_and_maybe_stream(
-                    state=state,
-                    delta_text=delta,
-                )
-            )
-
-        maybe_clarification = extract_clarification_from_event_data(data)
-        if maybe_clarification:
-            state.clarification_text = maybe_clarification
-        return responses[0] if responses else None
-
-    def _build_final_result(self, state: _StreamState) -> _FinalResult:
-        failures_only = False
-
-        if state.clarification_text:
-            final_chain = MessageChain(chain=[Comp.Plain(state.clarification_text)])
-        else:
-            final_chain = MessageChain()
-            latest_ai_message = extract_latest_ai_message(state.run_values_messages)
-            if latest_ai_message:
-                final_chain = build_chain_from_ai_content(
-                    latest_ai_message.get("content"),
-                    image_component_from_url,
-                )
-
-            if not final_chain.chain and state.latest_text:
-                final_chain = MessageChain(chain=[Comp.Plain(state.latest_text)])
-
-            if not final_chain.chain:
-                failure_text = build_task_failure_summary(state.task_failures)
-                if failure_text:
-                    final_chain = MessageChain(chain=[Comp.Plain(failure_text)])
-                    failures_only = True
-
-        if not final_chain.chain:
-            logger.warning("DeerFlow returned no text content in stream events.")
-            final_chain = MessageChain(
-                chain=[Comp.Plain("DeerFlow returned an empty response.")],
-            )
-
-        if state.timed_out:
-            timeout_note = (
-                f"DeerFlow stream timed out after {self.timeout}s. "
-                "Returning partial result."
-            )
-            if final_chain.chain and isinstance(final_chain.chain[-1], Comp.Plain):
-                last_text = final_chain.chain[-1].text
-                final_chain.chain[-1].text = (
-                    f"{last_text}\n\n{timeout_note}" if last_text else timeout_note
-                )
-            else:
-                final_chain.chain.append(Comp.Plain(timeout_note))
-
-        role = "err" if (state.timed_out or failures_only) else "assistant"
-        return self._FinalResult(chain=final_chain, role=role)
-
-    def _emit_non_plain_components_at_end(
-        self,
-        final_chain: MessageChain,
-    ) -> AgentResponse | None:
-        non_plain_components = [
-            component
-            for component in final_chain.chain
-            if not isinstance(component, Comp.Plain)
-        ]
-        if not non_plain_components:
-            return None
-        return AgentResponse(
-            type="streaming_delta",
-            data=AgentResponseData(
-                chain=MessageChain(chain=non_plain_components),
-            ),
-        )
-
-    async def _execute_deerflow_request(self):
-        prompt = self.req.prompt or ""
-        session_id = self.req.session_id or f"{DEERFLOW_SESSION_PREFIX}-{uuid4()}"
-        image_urls = self.req.image_urls or []
-        system_prompt = self.req.system_prompt
-
-        thread_id = await self._ensure_thread_id(session_id)
-        payload = await self._build_payload_resolved(
-            thread_id=thread_id,
-            prompt=prompt,
-            image_urls=image_urls,
-            system_prompt=system_prompt,
-        )
-        state = self._StreamState()
-
-        try:
-            async for event in self.api_client.stream_run(
-                thread_id=thread_id,
-                payload=payload,
-                timeout=self.timeout,
-            ):
-                event_type = event.get("event")
-                data = event.get("data")
-
-                if event_type == "values":
-                    for response in self._handle_values_event(data, state):
-                        yield response
-                    continue
-
-                if event_type in {"messages-tuple", "messages", "message"}:
-                    response = self._handle_message_event(data, state)
-                    if response:
-                        yield response
-                    continue
-
-                if event_type == "custom":
-                    state.task_failures.extend(
-                        extract_task_failures_from_custom_event(data),
-                    )
-                    continue
-
-                if event_type == "error":
-                    raise Exception(f"DeerFlow stream returned error event: {data}")
-
-                if event_type == "end":
-                    break
-        except (asyncio.TimeoutError, TimeoutError):
-            logger.warning(
-                "DeerFlow stream timed out after %ss for thread_id=%s; returning partial result.",
-                self.timeout,
-                thread_id,
-            )
-            state.timed_out = True
-
-        final_result = self._build_final_result(state)
-
-        if self.streaming:
-            extra_response = self._emit_non_plain_components_at_end(final_result.chain)
-            if extra_response:
-                yield extra_response
-
-        yield await self._finish_with_result(final_result.chain, final_result.role)
-
-    @override
-    def done(self) -> bool:
-        """Check whether the agent has finished or failed."""
-        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/deerflow/deerflow_api_client.py

@@ -1,298 +0,0 @@
-import codecs
-import json
-from collections.abc import AsyncGenerator
-from typing import Any
-
-from aiohttp import ClientResponse, ClientSession, ClientTimeout
-
-from astrbot.core import logger
-
-SSE_MAX_BUFFER_CHARS = 1_048_576
-
-
-class DeerFlowAPIError(Exception):
-    def __init__(
-        self,
-        *,
-        operation: str,
-        status: int,
-        body: str,
-        url: str,
-        thread_id: str | None = None,
-    ) -> None:
-        self.operation = operation
-        self.status = status
-        self.body = body
-        self.url = url
-        self.thread_id = thread_id
-
-        message = (
-            f"DeerFlow {operation} failed: status={status}, url={url}, body={body}"
-        )
-        if thread_id is not None:
-            message = (
-                f"DeerFlow {operation} failed: thread_id={thread_id}, "
-                f"status={status}, url={url}, body={body}"
-            )
-        super().__init__(message)
-
-
-def _normalize_sse_newlines(text: str) -> str:
-    """Normalize CRLF/CR to LF so SSE block splitting works reliably."""
-    return text.replace("\r\n", "\n").replace("\r", "\n")
-
-
-def _parse_sse_data_lines(data_lines: list[str]) -> Any:
-    raw_data = "\n".join(data_lines)
-    try:
-        return json.loads(raw_data)
-    except json.JSONDecodeError:
-        # Some LangGraph-compatible servers emit multiple JSON fragments
-        # in one SSE event using repeated data lines (e.g. tuple payloads).
-        parsed_lines: list[Any] = []
-        can_parse_all = True
-        for line in data_lines:
-            line = line.strip()
-            if not line:
-                continue
-            try:
-                parsed_lines.append(json.loads(line))
-            except json.JSONDecodeError:
-                can_parse_all = False
-                break
-        if can_parse_all and parsed_lines:
-            return parsed_lines[0] if len(parsed_lines) == 1 else parsed_lines
-        return raw_data
-
-
-def _parse_sse_block(block: str) -> dict[str, Any] | None:
-    if not block.strip():
-        return None
-
-    event_name = "message"
-    data_lines: list[str] = []
-    for line in block.splitlines():
-        if line.startswith("event:"):
-            event_name = line[6:].strip()
-        elif line.startswith("data:"):
-            data_lines.append(line[5:].lstrip())
-
-    if not data_lines:
-        return None
-    return {"event": event_name, "data": _parse_sse_data_lines(data_lines)}
-
-
-async def _stream_sse(resp: ClientResponse) -> AsyncGenerator[dict[str, Any], None]:
-    """Parse SSE response blocks into event/data dictionaries."""
-    # Use a forgiving decoder at network boundaries so malformed bytes do not abort stream parsing.
-    decoder = codecs.getincrementaldecoder("utf-8")("replace")
-    buffer = ""
-
-    async for chunk in resp.content.iter_chunked(8192):
-        buffer += _normalize_sse_newlines(decoder.decode(chunk))
-
-        while "\n\n" in buffer:
-            block, buffer = buffer.split("\n\n", 1)
-            parsed = _parse_sse_block(block)
-            if parsed is not None:
-                yield parsed
-
-        if len(buffer) > SSE_MAX_BUFFER_CHARS:
-            logger.warning(
-                "DeerFlow SSE parser buffer exceeded %d chars without delimiter; "
-                "flushing oversized block to prevent unbounded memory growth.",
-                SSE_MAX_BUFFER_CHARS,
-            )
-            parsed = _parse_sse_block(buffer)
-            if parsed is not None:
-                yield parsed
-            buffer = ""
-
-    # flush any remaining buffered text
-    buffer += _normalize_sse_newlines(decoder.decode(b"", final=True))
-    while "\n\n" in buffer:
-        block, buffer = buffer.split("\n\n", 1)
-        parsed = _parse_sse_block(block)
-        if parsed is not None:
-            yield parsed
-
-    if buffer.strip():
-        parsed = _parse_sse_block(buffer)
-        if parsed is not None:
-            yield parsed
-
-
-class DeerFlowAPIClient:
-    """HTTP client for DeerFlow LangGraph API.
-
-    Lifecycle is explicitly managed by callers (runner/stage). `__del__` is only a
-    fallback diagnostic and must not be relied on for cleanup.
-    """
-
-    def __init__(
-        self,
-        api_base: str = "http://127.0.0.1:2026",
-        api_key: str = "",
-        auth_header: str = "",
-        proxy: str | None = None,
-    ) -> None:
-        self.api_base = api_base.rstrip("/")
-        self._session: ClientSession | None = None
-        self._closed = False
-        self.proxy = proxy.strip() if isinstance(proxy, str) else None
-        if self.proxy == "":
-            self.proxy = None
-        self.headers: dict[str, str] = {}
-        if auth_header:
-            self.headers["Authorization"] = auth_header
-        elif api_key:
-            self.headers["Authorization"] = f"Bearer {api_key}"
-
-    def _get_session(self) -> ClientSession:
-        if self._closed:
-            raise RuntimeError("DeerFlowAPIClient is already closed.")
-        if self._session is None or self._session.closed:
-            self._session = ClientSession(trust_env=True)
-        return self._session
-
-    async def __aenter__(self) -> "DeerFlowAPIClient":
-        return self
-
-    async def __aexit__(
-        self,
-        exc_type: type[BaseException] | None,
-        exc: BaseException | None,
-        tb: object | None,
-    ) -> None:
-        await self.close()
-
-    async def create_thread(self, timeout: float = 20) -> dict[str, Any]:
-        session = self._get_session()
-        url = f"{self.api_base}/api/langgraph/threads"
-        payload = {"metadata": {}}
-        async with session.post(
-            url,
-            json=payload,
-            headers=self.headers,
-            timeout=timeout,
-            proxy=self.proxy,
-        ) as resp:
-            if resp.status not in (200, 201):
-                text = await resp.text()
-                raise DeerFlowAPIError(
-                    operation="create thread",
-                    status=resp.status,
-                    body=text,
-                    url=url,
-                )
-            return await resp.json()
-
-    async def delete_thread(self, thread_id: str, timeout: float = 20) -> None:
-        session = self._get_session()
-        url = f"{self.api_base}/api/threads/{thread_id}"
-        async with session.delete(
-            url,
-            headers=self.headers,
-            timeout=timeout,
-            proxy=self.proxy,
-        ) as resp:
-            if resp.status not in (200, 202, 204, 404):
-                text = await resp.text()
-                raise DeerFlowAPIError(
-                    operation="delete thread",
-                    status=resp.status,
-                    body=text,
-                    url=url,
-                    thread_id=thread_id,
-                )
-
-    async def stream_run(
-        self,
-        thread_id: str,
-        payload: dict[str, Any],
-        timeout: float = 120,
-    ) -> AsyncGenerator[dict[str, Any], None]:
-        session = self._get_session()
-        url = f"{self.api_base}/api/langgraph/threads/{thread_id}/runs/stream"
-        input_payload = payload.get("input")
-        message_count = 0
-        if isinstance(input_payload, dict) and isinstance(
-            input_payload.get("messages"), list
-        ):
-            message_count = len(input_payload["messages"])
-        # Log only a minimal summary to avoid exposing sensitive user content.
-        logger.debug(
-            "deerflow stream_run payload summary: thread_id=%s, keys=%s, message_count=%d, stream_mode=%s",
-            thread_id,
-            list(payload.keys()),
-            message_count,
-            payload.get("stream_mode"),
-        )
-        # For long-running SSE streams, avoid aiohttp total timeout.
-        # Use socket read timeout so active heartbeats/chunks can keep the stream alive.
-        stream_timeout = ClientTimeout(
-            total=None,
-            connect=min(timeout, 30),
-            sock_connect=min(timeout, 30),
-            sock_read=timeout,
-        )
-        async with session.post(
-            url,
-            json=payload,
-            headers={
-                **self.headers,
-                "Accept": "text/event-stream",
-                "Content-Type": "application/json",
-            },
-            timeout=stream_timeout,
-            proxy=self.proxy,
-        ) as resp:
-            if resp.status != 200:
-                text = await resp.text()
-                raise DeerFlowAPIError(
-                    operation="runs/stream request",
-                    status=resp.status,
-                    body=text,
-                    url=url,
-                    thread_id=thread_id,
-                )
-            async for event in _stream_sse(resp):
-                yield event
-
-    async def close(self) -> None:
-        session = self._session
-        if session is None:
-            self._closed = True
-            return
-
-        if session.closed:
-            self._session = None
-            self._closed = True
-            return
-
-        try:
-            await session.close()
-        except Exception as e:
-            logger.warning(
-                "Failed to close DeerFlowAPIClient session cleanly: %s",
-                e,
-                exc_info=True,
-            )
-        finally:
-            # Cleanup is best-effort and should not make teardown paths fail loudly.
-            self._session = None
-            self._closed = True
-
-    def __del__(self) -> None:
-        session = getattr(self, "_session", None)
-        closed = bool(getattr(self, "_closed", False))
-        if closed or session is None or session.closed:
-            return
-        logger.warning(
-            "DeerFlowAPIClient garbage collected with unclosed session; "
-            "explicit close() should be called by runner lifecycle (or `async with`)."
-        )
-
-    @property
-    def is_closed(self) -> bool:
-        return self._closed

astrbot/core/agent/runners/deerflow/deerflow_content_mapper.py

@@ -1,276 +0,0 @@
-import base64
-from collections.abc import Callable
-from typing import Any
-
-import astrbot.core.message.components as Comp
-from astrbot import logger
-from astrbot.core.message.message_event_result import MessageChain
-from astrbot.core.utils.media_utils import (
-    describe_media_ref,
-    resolve_media_ref_to_base64_data,
-)
-
-from .deerflow_stream_utils import extract_text
-
-
-def is_likely_base64_image(value: str) -> bool:
-    if " " in value:
-        return False
-
-    compact = value.replace("\n", "").replace("\r", "")
-    if not compact or len(compact) < 32 or len(compact) % 4 != 0:
-        return False
-
-    base64_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/="
-    if any(ch not in base64_chars for ch in compact):
-        return False
-    try:
-        base64.b64decode(compact, validate=True)
-    except Exception:
-        return False
-    return True
-
-
-def build_user_content(prompt: str, image_urls: list[str]) -> Any:
-    if not image_urls:
-        return prompt
-
-    content: list[dict[str, Any]] = []
-    skipped_invalid_images = 0
-    any_valid_image = False
-    if prompt:
-        content.append({"type": "text", "text": prompt})
-
-    for image_url in image_urls:
-        url = image_url
-        if not isinstance(url, str):
-            skipped_invalid_images += 1
-            logger.debug(
-                "Skipped DeerFlow image input because value is not a string: %r",
-                type(image_url).__name__,
-            )
-            continue
-        url = url.strip()
-        if not url:
-            skipped_invalid_images += 1
-            logger.debug("Skipped DeerFlow image input because value is empty.")
-            continue
-        if url.startswith(("http://", "https://", "data:")):
-            content.append({"type": "image_url", "image_url": {"url": url}})
-            any_valid_image = True
-            continue
-        if not is_likely_base64_image(url):
-            skipped_invalid_images += 1
-            logger.debug(
-                "Skipped DeerFlow image input because it is neither URL/data URI nor valid base64."
-            )
-            continue
-        compact_base64 = url.replace("\n", "").replace("\r", "")
-        content.append(
-            {
-                "type": "image_url",
-                "image_url": {"url": f"data:image/png;base64,{compact_base64}"},
-            },
-        )
-        any_valid_image = True
-
-    if skipped_invalid_images:
-        note_text = (
-            "Note: some images could not be processed and were ignored."
-            if any_valid_image
-            else "Note: none of the provided images could be processed."
-        )
-        content.insert(0, {"type": "text", "text": note_text})
-        if not any_valid_image:
-            logger.warning(
-                "All %d provided DeerFlow image inputs were rejected as invalid or unsupported.",
-                skipped_invalid_images,
-            )
-        else:
-            logger.info(
-                "%d DeerFlow image input(s) were rejected as invalid or unsupported.",
-                skipped_invalid_images,
-            )
-        logger.debug(
-            "Skipped %d DeerFlow image inputs that were neither URL/data URI nor valid base64.",
-            skipped_invalid_images,
-        )
-    return content
-
-
-async def build_user_content_resolved(prompt: str, image_urls: list[str]) -> Any:
-    """Build DeerFlow user content after resolving all supported image refs.
-
-    Args:
-        prompt: User text to include before image blocks.
-        image_urls: Image references from plugins or message attachments. Supports
-            local paths, HTTP(S), file URIs, base64://, data URIs, and bare base64.
-
-    Returns:
-        Plain text when no images are present; otherwise a multimodal content list.
-    """
-
-    if not image_urls:
-        return prompt
-
-    content: list[dict[str, Any]] = []
-    skipped_invalid_images = 0
-    any_valid_image = False
-    if prompt:
-        content.append({"type": "text", "text": prompt})
-
-    for image_url in image_urls:
-        if not isinstance(image_url, str):
-            skipped_invalid_images += 1
-            logger.debug(
-                "Skipped DeerFlow image input because value is not a string: %r",
-                type(image_url).__name__,
-            )
-            continue
-        image_ref = image_url.strip()
-        if not image_ref:
-            skipped_invalid_images += 1
-            logger.debug("Skipped DeerFlow image input because value is empty.")
-            continue
-        try:
-            image_data = await resolve_media_ref_to_base64_data(
-                image_ref,
-                media_type="image",
-            )
-        except Exception as exc:
-            skipped_invalid_images += 1
-            logger.debug(
-                "Skipped DeerFlow image input %s: %s",
-                describe_media_ref(image_ref),
-                exc,
-            )
-            continue
-        if not image_data:
-            skipped_invalid_images += 1
-            logger.debug(
-                "Skipped DeerFlow image input %s because it could not be resolved.",
-                describe_media_ref(image_ref),
-            )
-            continue
-        content.append(
-            {
-                "type": "image_url",
-                "image_url": {"url": image_data.to_data_url()},
-            },
-        )
-        any_valid_image = True
-
-    if skipped_invalid_images:
-        note_text = (
-            "Note: some images could not be processed and were ignored."
-            if any_valid_image
-            else "Note: none of the provided images could be processed."
-        )
-        content.insert(0, {"type": "text", "text": note_text})
-        if not any_valid_image:
-            logger.warning(
-                "All %d provided DeerFlow image inputs were rejected as invalid or unsupported.",
-                skipped_invalid_images,
-            )
-        else:
-            logger.info(
-                "%d DeerFlow image input(s) were rejected as invalid or unsupported.",
-                skipped_invalid_images,
-            )
-    return content
-
-
-def image_component_from_url(url: Any) -> Comp.Image | None:
-    if not isinstance(url, str):
-        return None
-
-    normalized = url.strip()
-    if not normalized:
-        return None
-
-    if normalized.startswith(("http://", "https://")):
-        try:
-            return Comp.Image.fromURL(normalized)
-        except Exception:
-            return None
-
-    if not normalized.startswith("data:"):
-        return None
-
-    header, sep, payload = normalized.partition(",")
-    if not sep:
-        return None
-    if ";base64" not in header.lower():
-        return None
-
-    compact_payload = payload.replace("\n", "").replace("\r", "").strip()
-    if not compact_payload:
-        return None
-    try:
-        base64.b64decode(compact_payload, validate=True)
-    except Exception:
-        return None
-    return Comp.Image.fromBase64(compact_payload)
-
-
-def append_components_from_content(
-    content: Any,
-    components: list[Comp.BaseMessageComponent],
-    image_resolver: Callable[[Any], Comp.Image | None],
-) -> None:
-    if isinstance(content, str):
-        if content:
-            components.append(Comp.Plain(content))
-        return
-
-    if isinstance(content, list):
-        for item in content:
-            append_components_from_content(item, components, image_resolver)
-        return
-
-    if not isinstance(content, dict):
-        return
-
-    item_type = str(content.get("type", "")).lower()
-    if item_type == "text" and isinstance(content.get("text"), str):
-        text = content["text"]
-        if text:
-            components.append(Comp.Plain(text))
-        return
-
-    if item_type == "image_url":
-        image_payload = content.get("image_url")
-        image_url: Any = image_payload
-        if isinstance(image_payload, dict):
-            image_url = image_payload.get("url")
-        image_comp = image_resolver(image_url)
-        if image_comp is not None:
-            components.append(image_comp)
-        return
-
-    if "content" in content:
-        append_components_from_content(
-            content.get("content"), components, image_resolver
-        )
-        return
-
-    kwargs = content.get("kwargs")
-    if isinstance(kwargs, dict) and "content" in kwargs:
-        append_components_from_content(
-            kwargs.get("content"), components, image_resolver
-        )
-
-
-def build_chain_from_ai_content(
-    content: Any,
-    image_resolver: Callable[[Any], Comp.Image | None],
-) -> MessageChain:
-    components: list[Comp.BaseMessageComponent] = []
-    append_components_from_content(content, components, image_resolver)
-    if components:
-        return MessageChain(chain=components)
-
-    fallback_text = extract_text(content)
-    if fallback_text:
-        return MessageChain(chain=[Comp.Plain(fallback_text)])
-    return MessageChain()

astrbot/core/agent/runners/deerflow/deerflow_stream_utils.py

@@ -1,201 +0,0 @@
-import typing as T
-from collections.abc import Iterable
-
-
-def extract_text(content: T.Any) -> str:
-    if isinstance(content, str):
-        return content
-    if isinstance(content, dict):
-        if isinstance(content.get("text"), str):
-            return content["text"]
-        if "content" in content:
-            return extract_text(content.get("content"))
-        if "kwargs" in content and isinstance(content["kwargs"], dict):
-            return extract_text(content["kwargs"].get("content"))
-    if isinstance(content, list):
-        parts: list[str] = []
-        for item in content:
-            if isinstance(item, str):
-                parts.append(item)
-            elif isinstance(item, dict):
-                item_type = item.get("type")
-                if item_type == "text" and isinstance(item.get("text"), str):
-                    parts.append(item["text"])
-                elif "content" in item:
-                    parts.append(extract_text(item["content"]))
-        return "\n".join([p for p in parts if p]).strip()
-    return str(content) if content is not None else ""
-
-
-def extract_messages_from_values_data(data: T.Any) -> list[T.Any]:
-    """Extract messages list from possible values event payload shapes."""
-    candidates: list[T.Any] = []
-    if isinstance(data, dict):
-        candidates.append(data)
-        if isinstance(data.get("values"), dict):
-            candidates.append(data["values"])
-    elif isinstance(data, list):
-        candidates.extend([x for x in data if isinstance(x, dict)])
-
-    for item in candidates:
-        messages = item.get("messages")
-        if isinstance(messages, list):
-            return messages
-    return []
-
-
-def is_ai_message(message: dict[str, T.Any]) -> bool:
-    role = str(message.get("role", "")).lower()
-    if role in {"assistant", "ai"}:
-        return True
-
-    msg_type = str(message.get("type", "")).lower()
-    if msg_type in {"ai", "assistant", "aimessage", "aimessagechunk"}:
-        return True
-    if "ai" in msg_type and all(
-        token not in msg_type for token in ("human", "tool", "system")
-    ):
-        return True
-    return False
-
-
-def extract_latest_ai_text(messages: Iterable[T.Any]) -> str:
-    # Scan backwards to get the latest assistant/ai message text.
-    if isinstance(messages, (list, tuple)):
-        iterable = reversed(messages)
-    else:
-        # Fallback for generic iterables (e.g. generators).
-        iterable = reversed(list(messages))
-
-    for msg in iterable:
-        if not isinstance(msg, dict):
-            continue
-        if is_ai_message(msg):
-            text = extract_text(msg.get("content"))
-            if text:
-                return text
-    return ""
-
-
-def extract_latest_ai_message(messages: Iterable[T.Any]) -> dict[str, T.Any] | None:
-    if isinstance(messages, (list, tuple)):
-        iterable = reversed(messages)
-    else:
-        iterable = reversed(list(messages))
-
-    for msg in iterable:
-        if not isinstance(msg, dict):
-            continue
-        if is_ai_message(msg):
-            return msg
-    return None
-
-
-def is_clarification_tool_message(message: dict[str, T.Any]) -> bool:
-    msg_type = str(message.get("type", "")).lower()
-    tool_name = str(message.get("name", "")).lower()
-    return msg_type == "tool" and tool_name == "ask_clarification"
-
-
-def extract_latest_clarification_text(messages: Iterable[T.Any]) -> str:
-    if isinstance(messages, (list, tuple)):
-        iterable = reversed(messages)
-    else:
-        iterable = reversed(list(messages))
-
-    for msg in iterable:
-        if not isinstance(msg, dict):
-            continue
-        if is_clarification_tool_message(msg):
-            text = extract_text(msg.get("content"))
-            if text:
-                return text
-    return ""
-
-
-def get_message_id(message: T.Any) -> str:
-    if not isinstance(message, dict):
-        return ""
-    msg_id = message.get("id")
-    return msg_id if isinstance(msg_id, str) else ""
-
-
-def extract_event_message_obj(data: T.Any) -> dict[str, T.Any] | None:
-    msg_obj = data
-    if isinstance(data, (list, tuple)) and data:
-        msg_obj = data[0]
-    if isinstance(msg_obj, dict) and isinstance(msg_obj.get("data"), dict):
-        # Some servers wrap message body in {"data": {...}}
-        msg_obj = msg_obj["data"]
-    return msg_obj if isinstance(msg_obj, dict) else None
-
-
-def extract_ai_delta_from_event_data(data: T.Any) -> str:
-    # LangGraph messages-tuple events usually carry either:
-    # - {"type": "ai", "content": "..."}
-    # - [message_obj, metadata]
-    msg_obj = extract_event_message_obj(data)
-    if not msg_obj:
-        return ""
-    if is_ai_message(msg_obj):
-        return extract_text(msg_obj.get("content"))
-    return ""
-
-
-def extract_clarification_from_event_data(data: T.Any) -> str:
-    msg_obj = extract_event_message_obj(data)
-    if not msg_obj:
-        return ""
-    if is_clarification_tool_message(msg_obj):
-        return extract_text(msg_obj.get("content"))
-    return ""
-
-
-def _iter_custom_event_items(data: T.Any) -> list[dict[str, T.Any]]:
-    items: list[dict[str, T.Any]] = []
-    if isinstance(data, dict):
-        return [data]
-    if isinstance(data, list):
-        for item in data:
-            if isinstance(item, dict):
-                items.append(item)
-            elif isinstance(item, (list, tuple)):
-                for nested in item:
-                    if isinstance(nested, dict):
-                        items.append(nested)
-    return items
-
-
-def extract_task_failures_from_custom_event(data: T.Any) -> list[str]:
-    failures: list[str] = []
-    for item in _iter_custom_event_items(data):
-        event_type = str(item.get("type", "")).lower()
-        if event_type not in {"task_failed", "task_timed_out"}:
-            continue
-
-        task_id = str(item.get("task_id", "")).strip()
-        error_text = extract_text(item.get("error")).strip()
-        if task_id and error_text:
-            failures.append(f"{task_id}: {error_text}")
-        elif error_text:
-            failures.append(error_text)
-        elif task_id:
-            failures.append(f"{task_id}: unknown error")
-        else:
-            failures.append("unknown task failure")
-    return failures
-
-
-def build_task_failure_summary(failures: list[str]) -> str:
-    if not failures:
-        return ""
-    deduped: list[str] = []
-    seen: set[str] = set()
-    for failure in failures:
-        if failure not in seen:
-            seen.add(failure)
-            deduped.append(failure)
-    if len(deduped) == 1:
-        return f"DeerFlow subtask failed: {deduped[0]}"
-    joined = "\n".join([f"- {item}" for item in deduped[:5]])
-    return f"DeerFlow subtasks failed:\n{joined}"

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

@@ -1,352 +0,0 @@
-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.media_utils import MediaResolver
-
-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 _upload_image_for_dify(
-        self,
-        image_url: str,
-        session_id: str,
-    ) -> dict[str, str] | None:
-        image_data = await MediaResolver(
-            image_url,
-            media_type="image",
-        ).to_base64_data(strict=True)
-        if image_data is None:
-            logger.warning("Dify 图片预处理结果为空，将忽略。")
-            return None
-
-        image_extension = image_data.mime_type.split("/", 1)[-1] or "png"
-        if image_extension == "jpeg":
-            image_extension = "jpg"
-
-        file_response = await self.api_client.file_upload(
-            file_data=image_data.to_bytes(),
-            user=session_id,
-            mime_type=image_data.mime_type,
-            file_name=f"image.{image_extension}",
-        )
-        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。"
-            )
-            return None
-
-        return {
-            "type": "image",
-            "transfer_method": "local_file",
-            "upload_file_id": file_response["id"],
-        }
-
-    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:
-            try:
-                image_payload = await self._upload_image_for_dify(image_url, session_id)
-            except Exception as e:
-                logger.warning(f"上传图片失败：{e}")
-                continue
-            if image_payload:
-                files_payload.append(image_payload)
-
-        # 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":
-                    audio_path = await MediaResolver(
-                        item["url"],
-                        media_type="audio",
-                        default_suffix=".wav",
-                    ).to_path(target_format="wav")
-                    return Comp.Record(file=audio_path, url=audio_path)
-                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